2022/07/31 23:58:41 - mmengine - INFO - These parameters in pretrained checkpoint are not loaded: {'fc.weight', 'fc.bias'} 2022/07/31 23:58:41 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb by HardDiskBackend. 2022/08/01 00:00:12 - mmengine - INFO - Epoch(train) [1][20/940] lr: 1.0000e-02 eta: 4 days, 22:28:06 time: 4.5381 data_time: 3.6745 memory: 24648 grad_norm: 0.8340 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.9753 loss: 5.9753 2022/08/01 00:00:27 - mmengine - INFO - Epoch(train) [1][40/940] lr: 1.0000e-02 eta: 2 days, 21:00:57 time: 0.7505 data_time: 0.2457 memory: 21549 grad_norm: 0.9157 top1_acc: 0.0000 top5_acc: 0.0312 loss_cls: 5.9129 loss: 5.9129 2022/08/01 00:00:45 - mmengine - INFO - Epoch(train) [1][60/940] lr: 1.0000e-02 eta: 2 days, 5:52:57 time: 0.9061 data_time: 0.3217 memory: 21549 grad_norm: 1.1192 top1_acc: 0.0312 top5_acc: 0.0625 loss_cls: 5.8025 loss: 5.8025 2022/08/01 00:01:01 - mmengine - INFO - Epoch(train) [1][80/940] lr: 1.0000e-02 eta: 1 day, 21:35:06 time: 0.7945 data_time: 0.2060 memory: 21549 grad_norm: 1.3288 top1_acc: 0.1562 top5_acc: 0.3125 loss_cls: 5.6441 loss: 5.6441 2022/08/01 00:01:19 - mmengine - INFO - Epoch(train) [1][100/940] lr: 1.0000e-02 eta: 1 day, 17:17:26 time: 0.9259 data_time: 0.2881 memory: 21549 grad_norm: 1.6066 top1_acc: 0.1250 top5_acc: 0.1875 loss_cls: 5.3345 loss: 5.3345 2022/08/01 00:01:36 - mmengine - INFO - Epoch(train) [1][120/940] lr: 1.0000e-02 eta: 1 day, 13:59:43 time: 0.8269 data_time: 0.2015 memory: 21549 grad_norm: 1.8786 top1_acc: 0.1250 top5_acc: 0.3438 loss_cls: 4.9956 loss: 4.9956 2022/08/01 00:01:54 - mmengine - INFO - Epoch(train) [1][140/940] lr: 1.0000e-02 eta: 1 day, 11:51:46 time: 0.8866 data_time: 0.1227 memory: 21549 grad_norm: 2.0442 top1_acc: 0.1562 top5_acc: 0.5000 loss_cls: 4.6879 loss: 4.6879 2022/08/01 00:02:13 - mmengine - INFO - Epoch(train) [1][160/940] lr: 1.0000e-02 eta: 1 day, 10:28:11 time: 0.9503 data_time: 0.0318 memory: 21549 grad_norm: 2.2064 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 4.3157 loss: 4.3157 2022/08/01 00:02:28 - mmengine - INFO - Epoch(train) [1][180/940] lr: 1.0000e-02 eta: 1 day, 8:50:06 time: 0.7604 data_time: 0.0358 memory: 21549 grad_norm: 2.3367 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.9840 loss: 3.9840 2022/08/01 00:02:48 - mmengine - INFO - Epoch(train) [1][200/940] lr: 1.0000e-02 eta: 1 day, 8:09:14 time: 1.0012 data_time: 0.0331 memory: 21549 grad_norm: 2.3967 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 3.8976 loss: 3.8976 2022/08/01 00:03:02 - mmengine - INFO - Epoch(train) [1][220/940] lr: 1.0000e-02 eta: 1 day, 6:56:34 time: 0.7255 data_time: 0.0407 memory: 21549 grad_norm: 2.4814 top1_acc: 0.2188 top5_acc: 0.4688 loss_cls: 3.6804 loss: 3.6804 2022/08/01 00:03:21 - mmengine - INFO - Epoch(train) [1][240/940] lr: 1.0000e-02 eta: 1 day, 6:24:31 time: 0.9447 data_time: 0.0383 memory: 21549 grad_norm: 2.5433 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.7737 loss: 3.7737 2022/08/01 00:03:38 - mmengine - INFO - Epoch(train) [1][260/940] lr: 1.0000e-02 eta: 1 day, 5:43:43 time: 0.8314 data_time: 0.0386 memory: 21549 grad_norm: 2.5863 top1_acc: 0.3438 top5_acc: 0.6250 loss_cls: 3.5792 loss: 3.5792 2022/08/01 00:03:53 - mmengine - INFO - Epoch(train) [1][280/940] lr: 1.0000e-02 eta: 1 day, 5:00:20 time: 0.7562 data_time: 0.0329 memory: 21549 grad_norm: 2.6464 top1_acc: 0.4062 top5_acc: 0.5938 loss_cls: 3.4626 loss: 3.4626 2022/08/01 00:04:12 - mmengine - INFO - Epoch(train) [1][300/940] lr: 1.0000e-02 eta: 1 day, 4:42:52 time: 0.9500 data_time: 0.0389 memory: 21549 grad_norm: 2.6671 top1_acc: 0.2812 top5_acc: 0.5000 loss_cls: 3.3789 loss: 3.3789 2022/08/01 00:04:29 - mmengine - INFO - Epoch(train) [1][320/940] lr: 1.0000e-02 eta: 1 day, 4:16:05 time: 0.8324 data_time: 0.0575 memory: 21549 grad_norm: 2.6437 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.3420 loss: 3.3420 2022/08/01 00:04:47 - mmengine - INFO - Epoch(train) [1][340/940] lr: 1.0000e-02 eta: 1 day, 4:01:29 time: 0.9312 data_time: 0.0486 memory: 21549 grad_norm: 2.7327 top1_acc: 0.3438 top5_acc: 0.5938 loss_cls: 3.2031 loss: 3.2031 2022/08/01 00:05:03 - mmengine - INFO - Epoch(train) [1][360/940] lr: 1.0000e-02 eta: 1 day, 3:35:46 time: 0.7848 data_time: 0.0357 memory: 21549 grad_norm: 2.7146 top1_acc: 0.2188 top5_acc: 0.5312 loss_cls: 3.1593 loss: 3.1593 2022/08/01 00:05:22 - mmengine - INFO - Epoch(train) [1][380/940] lr: 1.0000e-02 eta: 1 day, 3:25:07 time: 0.9356 data_time: 0.0368 memory: 21549 grad_norm: 2.7486 top1_acc: 0.2500 top5_acc: 0.5938 loss_cls: 3.0963 loss: 3.0963 2022/08/01 00:05:37 - mmengine - INFO - Epoch(train) [1][400/940] lr: 1.0000e-02 eta: 1 day, 3:01:05 time: 0.7507 data_time: 0.0371 memory: 21549 grad_norm: 2.7653 top1_acc: 0.2500 top5_acc: 0.5938 loss_cls: 3.0424 loss: 3.0424 2022/08/01 00:05:54 - mmengine - INFO - Epoch(train) [1][420/940] lr: 1.0000e-02 eta: 1 day, 2:48:42 time: 0.8772 data_time: 0.0398 memory: 21549 grad_norm: 2.7881 top1_acc: 0.3438 top5_acc: 0.4688 loss_cls: 3.0261 loss: 3.0261 2022/08/01 00:06:11 - mmengine - INFO - Epoch(train) [1][440/940] lr: 1.0000e-02 eta: 1 day, 2:33:41 time: 0.8244 data_time: 0.0322 memory: 21549 grad_norm: 2.7865 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 2.9273 loss: 2.9273 2022/08/01 00:06:29 - mmengine - INFO - Epoch(train) [1][460/940] lr: 1.0000e-02 eta: 1 day, 2:25:14 time: 0.9024 data_time: 0.0417 memory: 21549 grad_norm: 2.8146 top1_acc: 0.2188 top5_acc: 0.5625 loss_cls: 2.9680 loss: 2.9680 2022/08/01 00:06:45 - mmengine - INFO - Epoch(train) [1][480/940] lr: 1.0000e-02 eta: 1 day, 2:11:36 time: 0.8121 data_time: 0.0323 memory: 21549 grad_norm: 2.8009 top1_acc: 0.3125 top5_acc: 0.6562 loss_cls: 2.9281 loss: 2.9281 2022/08/01 00:07:03 - mmengine - INFO - Epoch(train) [1][500/940] lr: 1.0000e-02 eta: 1 day, 2:03:39 time: 0.8863 data_time: 0.1501 memory: 21549 grad_norm: 2.8569 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.9931 loss: 2.9931 2022/08/01 00:07:20 - mmengine - INFO - Epoch(train) [1][520/940] lr: 1.0000e-02 eta: 1 day, 1:54:58 time: 0.8639 data_time: 0.1518 memory: 21549 grad_norm: 2.8205 top1_acc: 0.3125 top5_acc: 0.4688 loss_cls: 2.9494 loss: 2.9494 2022/08/01 00:07:38 - mmengine - INFO - Epoch(train) [1][540/940] lr: 1.0000e-02 eta: 1 day, 1:47:44 time: 0.8787 data_time: 0.0429 memory: 21549 grad_norm: 2.8760 top1_acc: 0.2188 top5_acc: 0.3125 loss_cls: 2.8607 loss: 2.8607 2022/08/01 00:07:54 - mmengine - INFO - Epoch(train) [1][560/940] lr: 1.0000e-02 eta: 1 day, 1:36:24 time: 0.7958 data_time: 0.0425 memory: 21549 grad_norm: 2.8559 top1_acc: 0.3438 top5_acc: 0.5625 loss_cls: 2.8977 loss: 2.8977 2022/08/01 00:08:12 - mmengine - INFO - Epoch(train) [1][580/940] lr: 1.0000e-02 eta: 1 day, 1:31:37 time: 0.9034 data_time: 0.0996 memory: 21549 grad_norm: 2.8383 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.7855 loss: 2.7855 2022/08/01 00:08:27 - mmengine - INFO - Epoch(train) [1][600/940] lr: 1.0000e-02 eta: 1 day, 1:20:17 time: 0.7718 data_time: 0.1497 memory: 21549 grad_norm: 2.8722 top1_acc: 0.3438 top5_acc: 0.5625 loss_cls: 2.7426 loss: 2.7426 2022/08/01 00:08:45 - mmengine - INFO - Epoch(train) [1][620/940] lr: 1.0000e-02 eta: 1 day, 1:16:29 time: 0.9075 data_time: 0.0690 memory: 21549 grad_norm: 2.8660 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7281 loss: 2.7281 2022/08/01 00:09:03 - mmengine - INFO - Epoch(train) [1][640/940] lr: 1.0000e-02 eta: 1 day, 1:12:39 time: 0.9020 data_time: 0.0420 memory: 21549 grad_norm: 2.8909 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6283 loss: 2.6283 2022/08/01 00:09:19 - mmengine - INFO - Epoch(train) [1][660/940] lr: 1.0000e-02 eta: 1 day, 1:04:33 time: 0.8074 data_time: 0.0464 memory: 21549 grad_norm: 2.8746 top1_acc: 0.3438 top5_acc: 0.6875 loss_cls: 2.6159 loss: 2.6159 2022/08/01 00:09:37 - mmengine - INFO - Epoch(train) [1][680/940] lr: 1.0000e-02 eta: 1 day, 0:59:43 time: 0.8685 data_time: 0.0364 memory: 21549 grad_norm: 2.8906 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.6578 loss: 2.6578 2022/08/01 00:09:54 - mmengine - INFO - Epoch(train) [1][700/940] lr: 1.0000e-02 eta: 1 day, 0:55:05 time: 0.8670 data_time: 0.0492 memory: 21549 grad_norm: 2.8886 top1_acc: 0.2812 top5_acc: 0.4688 loss_cls: 2.6726 loss: 2.6726 2022/08/01 00:10:11 - mmengine - INFO - Epoch(train) [1][720/940] lr: 1.0000e-02 eta: 1 day, 0:50:02 time: 0.8520 data_time: 0.0401 memory: 21549 grad_norm: 2.9011 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.8286 loss: 2.8286 2022/08/01 00:10:29 - mmengine - INFO - Epoch(train) [1][740/940] lr: 1.0000e-02 eta: 1 day, 0:46:03 time: 0.8715 data_time: 0.0408 memory: 21549 grad_norm: 2.9369 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.5662 loss: 2.5662 2022/08/01 00:10:45 - mmengine - INFO - Epoch(train) [1][760/940] lr: 1.0000e-02 eta: 1 day, 0:40:06 time: 0.8183 data_time: 0.0396 memory: 21549 grad_norm: 2.9047 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.7097 loss: 2.7097 2022/08/01 00:11:01 - mmengine - INFO - Epoch(train) [1][780/940] lr: 1.0000e-02 eta: 1 day, 0:34:46 time: 0.8266 data_time: 0.0377 memory: 21549 grad_norm: 2.9557 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.7187 loss: 2.7187 2022/08/01 00:11:19 - mmengine - INFO - Epoch(train) [1][800/940] lr: 1.0000e-02 eta: 1 day, 0:32:24 time: 0.8960 data_time: 0.0511 memory: 21549 grad_norm: 2.8930 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.6211 loss: 2.6211 2022/08/01 00:11:35 - mmengine - INFO - Epoch(train) [1][820/940] lr: 1.0000e-02 eta: 1 day, 0:26:34 time: 0.8024 data_time: 0.0423 memory: 21549 grad_norm: 2.9399 top1_acc: 0.3438 top5_acc: 0.4688 loss_cls: 2.5551 loss: 2.5551 2022/08/01 00:11:53 - mmengine - INFO - Epoch(train) [1][840/940] lr: 1.0000e-02 eta: 1 day, 0:24:06 time: 0.8860 data_time: 0.0387 memory: 21549 grad_norm: 2.9475 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6299 loss: 2.6299 2022/08/01 00:12:09 - mmengine - INFO - Epoch(train) [1][860/940] lr: 1.0000e-02 eta: 1 day, 0:19:05 time: 0.8127 data_time: 0.0372 memory: 21549 grad_norm: 2.9859 top1_acc: 0.3438 top5_acc: 0.7188 loss_cls: 2.5222 loss: 2.5222 2022/08/01 00:12:27 - mmengine - INFO - Epoch(train) [1][880/940] lr: 1.0000e-02 eta: 1 day, 0:16:11 time: 0.8666 data_time: 0.0386 memory: 21549 grad_norm: 2.9431 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.6315 loss: 2.6315 2022/08/01 00:12:43 - mmengine - INFO - Epoch(train) [1][900/940] lr: 1.0000e-02 eta: 1 day, 0:11:17 time: 0.8053 data_time: 0.0474 memory: 21549 grad_norm: 2.9582 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.5410 loss: 2.5410 2022/08/01 00:13:01 - mmengine - INFO - Epoch(train) [1][920/940] lr: 1.0000e-02 eta: 1 day, 0:09:38 time: 0.8955 data_time: 0.0513 memory: 21549 grad_norm: 2.9919 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.5306 loss: 2.5306 2022/08/01 00:13:16 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 00:13:16 - mmengine - INFO - Epoch(train) [1][940/940] lr: 1.0000e-02 eta: 1 day, 0:03:24 time: 0.7552 data_time: 0.0298 memory: 21549 grad_norm: 3.2450 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 2.4247 loss: 2.4247 2022/08/01 00:16:40 - mmengine - INFO - Epoch(val) [1][20/78] eta: 0:09:52 time: 10.2216 data_time: 10.1081 memory: 3271 2022/08/01 00:16:54 - mmengine - INFO - Epoch(val) [1][40/78] eta: 0:00:25 time: 0.6738 data_time: 0.5565 memory: 3271 2022/08/01 00:17:13 - mmengine - INFO - Epoch(val) [1][60/78] eta: 0:00:17 time: 0.9526 data_time: 0.8339 memory: 3271 2022/08/01 00:17:40 - mmengine - INFO - Epoch(val) [1][78/78] acc/top1: 0.4860 acc/top5: 0.7530 acc/mean1: 0.4857 2022/08/01 00:17:42 - mmengine - INFO - The best checkpoint with 0.4860 acc/top1 at 2 epoch is saved to best_acc/top1_epoch_2.pth. 2022/08/01 00:18:04 - mmengine - INFO - Epoch(train) [2][20/940] lr: 1.0000e-02 eta: 1 day, 0:09:38 time: 1.1334 data_time: 0.7217 memory: 21548 grad_norm: 2.9477 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 2.5204 loss: 2.5204 2022/08/01 00:18:19 - mmengine - INFO - Epoch(train) [2][40/940] lr: 1.0000e-02 eta: 1 day, 0:03:17 time: 0.7439 data_time: 0.3447 memory: 21548 grad_norm: 2.9751 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.4682 loss: 2.4682 2022/08/01 00:18:38 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 00:18:38 - mmengine - INFO - Epoch(train) [2][60/940] lr: 1.0000e-02 eta: 1 day, 0:02:39 time: 0.9207 data_time: 0.5288 memory: 21548 grad_norm: 2.9896 top1_acc: 0.3438 top5_acc: 0.6250 loss_cls: 2.5509 loss: 2.5509 2022/08/01 00:18:54 - mmengine - INFO - Epoch(train) [2][80/940] lr: 1.0000e-02 eta: 23:59:00 time: 0.8206 data_time: 0.3154 memory: 21548 grad_norm: 2.9755 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.4766 loss: 2.4766 2022/08/01 00:19:13 - mmengine - INFO - Epoch(train) [2][100/940] lr: 1.0000e-02 eta: 23:59:54 time: 0.9695 data_time: 0.2585 memory: 21548 grad_norm: 2.9842 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2311 loss: 2.2311 2022/08/01 00:19:28 - mmengine - INFO - Epoch(train) [2][120/940] lr: 1.0000e-02 eta: 23:53:55 time: 0.7350 data_time: 0.2605 memory: 21548 grad_norm: 2.9855 top1_acc: 0.4062 top5_acc: 0.5938 loss_cls: 2.4942 loss: 2.4942 2022/08/01 00:19:49 - mmengine - INFO - Epoch(train) [2][140/940] lr: 1.0000e-02 eta: 23:57:23 time: 1.0575 data_time: 0.6332 memory: 21548 grad_norm: 3.0105 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 2.4600 loss: 2.4600 2022/08/01 00:20:03 - mmengine - INFO - Epoch(train) [2][160/940] lr: 1.0000e-02 eta: 23:50:41 time: 0.7012 data_time: 0.2663 memory: 21548 grad_norm: 3.0101 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.4620 loss: 2.4620 2022/08/01 00:20:22 - mmengine - INFO - Epoch(train) [2][180/940] lr: 1.0000e-02 eta: 23:51:00 time: 0.9463 data_time: 0.5190 memory: 21548 grad_norm: 2.9817 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.2448 loss: 2.2448 2022/08/01 00:20:37 - mmengine - INFO - Epoch(train) [2][200/940] lr: 1.0000e-02 eta: 23:46:05 time: 0.7546 data_time: 0.3183 memory: 21548 grad_norm: 2.9996 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3833 loss: 2.3833 2022/08/01 00:20:58 - mmengine - INFO - Epoch(train) [2][220/940] lr: 1.0000e-02 eta: 23:48:16 time: 1.0151 data_time: 0.5854 memory: 21548 grad_norm: 3.0291 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.3478 loss: 2.3478 2022/08/01 00:21:13 - mmengine - INFO - Epoch(train) [2][240/940] lr: 1.0000e-02 eta: 23:44:13 time: 0.7805 data_time: 0.3509 memory: 21548 grad_norm: 3.0431 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4757 loss: 2.4757 2022/08/01 00:21:32 - mmengine - INFO - Epoch(train) [2][260/940] lr: 1.0000e-02 eta: 23:43:50 time: 0.9173 data_time: 0.4858 memory: 21548 grad_norm: 3.0499 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3542 loss: 2.3542 2022/08/01 00:21:46 - mmengine - INFO - Epoch(train) [2][280/940] lr: 1.0000e-02 eta: 23:38:41 time: 0.7296 data_time: 0.3298 memory: 21548 grad_norm: 3.0828 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3365 loss: 2.3365 2022/08/01 00:22:05 - mmengine - INFO - Epoch(train) [2][300/940] lr: 1.0000e-02 eta: 23:38:16 time: 0.9127 data_time: 0.4717 memory: 21548 grad_norm: 3.0428 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4933 loss: 2.4933 2022/08/01 00:22:20 - mmengine - INFO - Epoch(train) [2][320/940] lr: 1.0000e-02 eta: 23:34:30 time: 0.7767 data_time: 0.3424 memory: 21548 grad_norm: 3.0220 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.2125 loss: 2.2125 2022/08/01 00:22:39 - mmengine - INFO - Epoch(train) [2][340/940] lr: 1.0000e-02 eta: 23:34:57 time: 0.9464 data_time: 0.5148 memory: 21548 grad_norm: 2.9986 top1_acc: 0.4062 top5_acc: 0.5625 loss_cls: 2.3803 loss: 2.3803 2022/08/01 00:22:54 - mmengine - INFO - Epoch(train) [2][360/940] lr: 1.0000e-02 eta: 23:30:43 time: 0.7501 data_time: 0.3490 memory: 21548 grad_norm: 3.0626 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 2.2674 loss: 2.2674 2022/08/01 00:23:12 - mmengine - INFO - Epoch(train) [2][380/940] lr: 1.0000e-02 eta: 23:30:03 time: 0.8978 data_time: 0.4729 memory: 21548 grad_norm: 3.0529 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 2.3076 loss: 2.3076 2022/08/01 00:23:27 - mmengine - INFO - Epoch(train) [2][400/940] lr: 1.0000e-02 eta: 23:26:36 time: 0.7763 data_time: 0.3398 memory: 21548 grad_norm: 3.0578 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2449 loss: 2.2449 2022/08/01 00:23:45 - mmengine - INFO - Epoch(train) [2][420/940] lr: 1.0000e-02 eta: 23:26:06 time: 0.9020 data_time: 0.4699 memory: 21548 grad_norm: 3.0641 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.2518 loss: 2.2518 2022/08/01 00:24:03 - mmengine - INFO - Epoch(train) [2][440/940] lr: 1.0000e-02 eta: 23:24:37 time: 0.8581 data_time: 0.1823 memory: 21548 grad_norm: 3.0645 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.2731 loss: 2.2731 2022/08/01 00:24:20 - mmengine - INFO - Epoch(train) [2][460/940] lr: 1.0000e-02 eta: 23:23:10 time: 0.8583 data_time: 0.2755 memory: 21548 grad_norm: 3.0940 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4424 loss: 2.4424 2022/08/01 00:24:37 - mmengine - INFO - Epoch(train) [2][480/940] lr: 1.0000e-02 eta: 23:21:44 time: 0.8571 data_time: 0.1569 memory: 21548 grad_norm: 3.0419 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2460 loss: 2.2460 2022/08/01 00:24:54 - mmengine - INFO - Epoch(train) [2][500/940] lr: 1.0000e-02 eta: 23:20:00 time: 0.8415 data_time: 0.1912 memory: 21548 grad_norm: 3.0623 top1_acc: 0.4688 top5_acc: 0.6250 loss_cls: 2.3505 loss: 2.3505 2022/08/01 00:25:12 - mmengine - INFO - Epoch(train) [2][520/940] lr: 1.0000e-02 eta: 23:20:05 time: 0.9262 data_time: 0.0295 memory: 21548 grad_norm: 3.0645 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3305 loss: 2.3305 2022/08/01 00:25:28 - mmengine - INFO - Epoch(train) [2][540/940] lr: 1.0000e-02 eta: 23:17:35 time: 0.8017 data_time: 0.0534 memory: 21548 grad_norm: 3.0882 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.2680 loss: 2.2680 2022/08/01 00:25:47 - mmengine - INFO - Epoch(train) [2][560/940] lr: 1.0000e-02 eta: 23:17:28 time: 0.9160 data_time: 0.0327 memory: 21548 grad_norm: 3.0707 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.2172 loss: 2.2172 2022/08/01 00:26:02 - mmengine - INFO - Epoch(train) [2][580/940] lr: 1.0000e-02 eta: 23:14:52 time: 0.7929 data_time: 0.0627 memory: 21548 grad_norm: 3.1102 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.2355 loss: 2.2355 2022/08/01 00:26:21 - mmengine - INFO - Epoch(train) [2][600/940] lr: 1.0000e-02 eta: 23:15:32 time: 0.9530 data_time: 0.0673 memory: 21548 grad_norm: 3.0823 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 2.3689 loss: 2.3689 2022/08/01 00:26:37 - mmengine - INFO - Epoch(train) [2][620/940] lr: 1.0000e-02 eta: 23:12:40 time: 0.7762 data_time: 0.1511 memory: 21548 grad_norm: 3.0871 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 2.2040 loss: 2.2040 2022/08/01 00:26:55 - mmengine - INFO - Epoch(train) [2][640/940] lr: 1.0000e-02 eta: 23:11:49 time: 0.8760 data_time: 0.1517 memory: 21548 grad_norm: 3.1046 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 2.3289 loss: 2.3289 2022/08/01 00:27:11 - mmengine - INFO - Epoch(train) [2][660/940] lr: 1.0000e-02 eta: 23:10:17 time: 0.8393 data_time: 0.2048 memory: 21548 grad_norm: 3.1530 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.3065 loss: 2.3065 2022/08/01 00:27:28 - mmengine - INFO - Epoch(train) [2][680/940] lr: 1.0000e-02 eta: 23:08:16 time: 0.8127 data_time: 0.2395 memory: 21548 grad_norm: 3.1319 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.2734 loss: 2.2734 2022/08/01 00:27:45 - mmengine - INFO - Epoch(train) [2][700/940] lr: 1.0000e-02 eta: 23:07:31 time: 0.8774 data_time: 0.1543 memory: 21548 grad_norm: 3.1690 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.2842 loss: 2.2842 2022/08/01 00:28:03 - mmengine - INFO - Epoch(train) [2][720/940] lr: 1.0000e-02 eta: 23:07:20 time: 0.9077 data_time: 0.1372 memory: 21548 grad_norm: 3.1371 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 2.1564 loss: 2.1564 2022/08/01 00:28:20 - mmengine - INFO - Epoch(train) [2][740/940] lr: 1.0000e-02 eta: 23:05:23 time: 0.8118 data_time: 0.0384 memory: 21548 grad_norm: 3.1032 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.2428 loss: 2.2428 2022/08/01 00:28:37 - mmengine - INFO - Epoch(train) [2][760/940] lr: 1.0000e-02 eta: 23:04:34 time: 0.8719 data_time: 0.0337 memory: 21548 grad_norm: 3.1355 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 2.3133 loss: 2.3133 2022/08/01 00:28:55 - mmengine - INFO - Epoch(train) [2][780/940] lr: 1.0000e-02 eta: 23:03:58 time: 0.8835 data_time: 0.0451 memory: 21548 grad_norm: 3.1653 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 2.3904 loss: 2.3904 2022/08/01 00:29:11 - mmengine - INFO - Epoch(train) [2][800/940] lr: 1.0000e-02 eta: 23:02:28 time: 0.8316 data_time: 0.0362 memory: 21548 grad_norm: 3.1247 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.0814 loss: 2.0814 2022/08/01 00:29:29 - mmengine - INFO - Epoch(train) [2][820/940] lr: 1.0000e-02 eta: 23:01:26 time: 0.8573 data_time: 0.0373 memory: 21548 grad_norm: 3.1351 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.2386 loss: 2.2386 2022/08/01 00:29:45 - mmengine - INFO - Epoch(train) [2][840/940] lr: 1.0000e-02 eta: 22:59:52 time: 0.8249 data_time: 0.0512 memory: 21548 grad_norm: 3.1438 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.2459 loss: 2.2459 2022/08/01 00:30:03 - mmengine - INFO - Epoch(train) [2][860/940] lr: 1.0000e-02 eta: 22:59:31 time: 0.8948 data_time: 0.0414 memory: 21548 grad_norm: 3.0889 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 2.2479 loss: 2.2479 2022/08/01 00:30:21 - mmengine - INFO - Epoch(train) [2][880/940] lr: 1.0000e-02 eta: 22:59:18 time: 0.9025 data_time: 0.0346 memory: 21548 grad_norm: 3.1592 top1_acc: 0.5000 top5_acc: 0.5938 loss_cls: 2.1841 loss: 2.1841 2022/08/01 00:30:36 - mmengine - INFO - Epoch(train) [2][900/940] lr: 1.0000e-02 eta: 22:56:41 time: 0.7593 data_time: 0.0364 memory: 21548 grad_norm: 3.1957 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.2190 loss: 2.2190 2022/08/01 00:30:53 - mmengine - INFO - Epoch(train) [2][920/940] lr: 1.0000e-02 eta: 22:55:38 time: 0.8506 data_time: 0.0366 memory: 21548 grad_norm: 3.1199 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.1128 loss: 2.1128 2022/08/01 00:31:07 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 00:31:07 - mmengine - INFO - Epoch(train) [2][940/940] lr: 1.0000e-02 eta: 22:51:51 time: 0.6819 data_time: 0.0442 memory: 21548 grad_norm: 3.2995 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 2.0668 loss: 2.0668 2022/08/01 00:31:27 - mmengine - INFO - Epoch(val) [2][20/78] eta: 0:00:58 time: 1.0145 data_time: 0.8942 memory: 3271 2022/08/01 00:31:41 - mmengine - INFO - Epoch(val) [2][40/78] eta: 0:00:27 time: 0.7213 data_time: 0.5978 memory: 3271 2022/08/01 00:32:01 - mmengine - INFO - Epoch(val) [2][60/78] eta: 0:00:17 time: 0.9558 data_time: 0.8196 memory: 3271 2022/08/01 00:32:16 - mmengine - INFO - Epoch(val) [2][78/78] acc/top1: 0.5434 acc/top5: 0.7948 acc/mean1: 0.5431 2022/08/01 00:32:16 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_2.pth is removed 2022/08/01 00:32:16 - mmengine - INFO - The best checkpoint with 0.5434 acc/top1 at 3 epoch is saved to best_acc/top1_epoch_3.pth. 2022/08/01 00:32:39 - mmengine - INFO - Epoch(train) [3][20/940] lr: 1.0000e-02 eta: 22:54:58 time: 1.1050 data_time: 0.6951 memory: 21548 grad_norm: 3.1298 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2881 loss: 2.2881 2022/08/01 00:32:58 - mmengine - INFO - Epoch(train) [3][40/940] lr: 1.0000e-02 eta: 22:55:33 time: 0.9510 data_time: 0.3172 memory: 21548 grad_norm: 3.1532 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.2418 loss: 2.2418 2022/08/01 00:33:16 - mmengine - INFO - Epoch(train) [3][60/940] lr: 1.0000e-02 eta: 22:55:42 time: 0.9254 data_time: 0.1274 memory: 21548 grad_norm: 3.1149 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 2.0384 loss: 2.0384 2022/08/01 00:33:33 - mmengine - INFO - Epoch(train) [3][80/940] lr: 1.0000e-02 eta: 22:54:38 time: 0.8467 data_time: 0.0360 memory: 21548 grad_norm: 3.1210 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 2.0871 loss: 2.0871 2022/08/01 00:33:52 - mmengine - INFO - Epoch(train) [3][100/940] lr: 1.0000e-02 eta: 22:54:52 time: 0.9305 data_time: 0.0403 memory: 21548 grad_norm: 3.1269 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0390 loss: 2.0390 2022/08/01 00:34:07 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 00:34:07 - mmengine - INFO - Epoch(train) [3][120/940] lr: 1.0000e-02 eta: 22:52:46 time: 0.7793 data_time: 0.1028 memory: 21548 grad_norm: 3.1763 top1_acc: 0.3438 top5_acc: 0.7812 loss_cls: 2.1721 loss: 2.1721 2022/08/01 00:34:26 - mmengine - INFO - Epoch(train) [3][140/940] lr: 1.0000e-02 eta: 22:52:57 time: 0.9270 data_time: 0.1732 memory: 21548 grad_norm: 3.1833 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.2039 loss: 2.2039 2022/08/01 00:34:42 - mmengine - INFO - Epoch(train) [3][160/940] lr: 1.0000e-02 eta: 22:51:03 time: 0.7891 data_time: 0.0363 memory: 21548 grad_norm: 3.1298 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1314 loss: 2.1314 2022/08/01 00:35:00 - mmengine - INFO - Epoch(train) [3][180/940] lr: 1.0000e-02 eta: 22:51:32 time: 0.9472 data_time: 0.2923 memory: 21548 grad_norm: 3.1788 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 2.0890 loss: 2.0890 2022/08/01 00:35:14 - mmengine - INFO - Epoch(train) [3][200/940] lr: 1.0000e-02 eta: 22:47:52 time: 0.6665 data_time: 0.2428 memory: 21548 grad_norm: 3.2101 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 2.1419 loss: 2.1419 2022/08/01 00:35:33 - mmengine - INFO - Epoch(train) [3][220/940] lr: 1.0000e-02 eta: 22:48:26 time: 0.9524 data_time: 0.5215 memory: 21548 grad_norm: 3.1483 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 2.0430 loss: 2.0430 2022/08/01 00:35:48 - mmengine - INFO - Epoch(train) [3][240/940] lr: 1.0000e-02 eta: 22:46:17 time: 0.7646 data_time: 0.3309 memory: 21548 grad_norm: 3.2033 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 2.1570 loss: 2.1570 2022/08/01 00:36:07 - mmengine - INFO - Epoch(train) [3][260/940] lr: 1.0000e-02 eta: 22:47:04 time: 0.9679 data_time: 0.2976 memory: 21548 grad_norm: 3.1972 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.9495 loss: 1.9495 2022/08/01 00:36:23 - mmengine - INFO - Epoch(train) [3][280/940] lr: 1.0000e-02 eta: 22:44:59 time: 0.7668 data_time: 0.1099 memory: 21548 grad_norm: 3.1718 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 2.1055 loss: 2.1055 2022/08/01 00:36:41 - mmengine - INFO - Epoch(train) [3][300/940] lr: 1.0000e-02 eta: 22:45:05 time: 0.9201 data_time: 0.2801 memory: 21548 grad_norm: 3.1945 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.1848 loss: 2.1848 2022/08/01 00:36:56 - mmengine - INFO - Epoch(train) [3][320/940] lr: 1.0000e-02 eta: 22:42:51 time: 0.7526 data_time: 0.2524 memory: 21548 grad_norm: 3.1969 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1417 loss: 2.1417 2022/08/01 00:37:15 - mmengine - INFO - Epoch(train) [3][340/940] lr: 1.0000e-02 eta: 22:43:29 time: 0.9583 data_time: 0.3018 memory: 21548 grad_norm: 3.2061 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.9606 loss: 1.9606 2022/08/01 00:37:33 - mmengine - INFO - Epoch(train) [3][360/940] lr: 1.0000e-02 eta: 22:42:50 time: 0.8660 data_time: 0.1043 memory: 21548 grad_norm: 3.1517 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.1170 loss: 2.1170 2022/08/01 00:37:52 - mmengine - INFO - Epoch(train) [3][380/940] lr: 1.0000e-02 eta: 22:43:12 time: 0.9394 data_time: 0.0556 memory: 21548 grad_norm: 3.2320 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 2.1082 loss: 2.1082 2022/08/01 00:38:06 - mmengine - INFO - Epoch(train) [3][400/940] lr: 1.0000e-02 eta: 22:40:39 time: 0.7241 data_time: 0.0545 memory: 21548 grad_norm: 3.1969 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1083 loss: 2.1083 2022/08/01 00:38:26 - mmengine - INFO - Epoch(train) [3][420/940] lr: 1.0000e-02 eta: 22:41:47 time: 0.9983 data_time: 0.0470 memory: 21548 grad_norm: 3.2408 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1340 loss: 2.1340 2022/08/01 00:38:41 - mmengine - INFO - Epoch(train) [3][440/940] lr: 1.0000e-02 eta: 22:39:57 time: 0.7736 data_time: 0.0418 memory: 21548 grad_norm: 3.2190 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 2.2950 loss: 2.2950 2022/08/01 00:39:00 - mmengine - INFO - Epoch(train) [3][460/940] lr: 1.0000e-02 eta: 22:39:58 time: 0.9143 data_time: 0.0372 memory: 21548 grad_norm: 3.2148 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 2.1069 loss: 2.1069 2022/08/01 00:39:16 - mmengine - INFO - Epoch(train) [3][480/940] lr: 1.0000e-02 eta: 22:38:28 time: 0.7967 data_time: 0.0403 memory: 21548 grad_norm: 3.1952 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.0407 loss: 2.0407 2022/08/01 00:39:33 - mmengine - INFO - Epoch(train) [3][500/940] lr: 1.0000e-02 eta: 22:38:06 time: 0.8844 data_time: 0.0712 memory: 21548 grad_norm: 3.1991 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 2.1594 loss: 2.1594 2022/08/01 00:39:48 - mmengine - INFO - Epoch(train) [3][520/940] lr: 1.0000e-02 eta: 22:36:05 time: 0.7545 data_time: 0.1357 memory: 21548 grad_norm: 3.1696 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1702 loss: 2.1702 2022/08/01 00:40:08 - mmengine - INFO - Epoch(train) [3][540/940] lr: 1.0000e-02 eta: 22:36:49 time: 0.9693 data_time: 0.1251 memory: 21548 grad_norm: 3.2499 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.1156 loss: 2.1156 2022/08/01 00:40:23 - mmengine - INFO - Epoch(train) [3][560/940] lr: 1.0000e-02 eta: 22:35:04 time: 0.7736 data_time: 0.0954 memory: 21548 grad_norm: 3.2440 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1398 loss: 2.1398 2022/08/01 00:40:42 - mmengine - INFO - Epoch(train) [3][580/940] lr: 1.0000e-02 eta: 22:35:16 time: 0.9272 data_time: 0.1617 memory: 21548 grad_norm: 3.2702 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.1444 loss: 2.1444 2022/08/01 00:40:58 - mmengine - INFO - Epoch(train) [3][600/940] lr: 1.0000e-02 eta: 22:34:02 time: 0.8118 data_time: 0.0378 memory: 21548 grad_norm: 3.2345 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0118 loss: 2.0118 2022/08/01 00:41:17 - mmengine - INFO - Epoch(train) [3][620/940] lr: 1.0000e-02 eta: 22:34:07 time: 0.9187 data_time: 0.0455 memory: 21548 grad_norm: 3.2505 top1_acc: 0.4062 top5_acc: 0.8125 loss_cls: 2.0998 loss: 2.0998 2022/08/01 00:41:33 - mmengine - INFO - Epoch(train) [3][640/940] lr: 1.0000e-02 eta: 22:33:17 time: 0.8436 data_time: 0.0436 memory: 21548 grad_norm: 3.2119 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0472 loss: 2.0472 2022/08/01 00:41:50 - mmengine - INFO - Epoch(train) [3][660/940] lr: 1.0000e-02 eta: 22:32:32 time: 0.8509 data_time: 0.0625 memory: 21548 grad_norm: 3.1931 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.0399 loss: 2.0399 2022/08/01 00:42:06 - mmengine - INFO - Epoch(train) [3][680/940] lr: 1.0000e-02 eta: 22:31:10 time: 0.7973 data_time: 0.0450 memory: 21548 grad_norm: 3.2334 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.1110 loss: 2.1110 2022/08/01 00:42:25 - mmengine - INFO - Epoch(train) [3][700/940] lr: 1.0000e-02 eta: 22:31:35 time: 0.9465 data_time: 0.0407 memory: 21548 grad_norm: 3.2302 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0400 loss: 2.0400 2022/08/01 00:42:42 - mmengine - INFO - Epoch(train) [3][720/940] lr: 1.0000e-02 eta: 22:30:43 time: 0.8377 data_time: 0.0427 memory: 21548 grad_norm: 3.2728 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.1146 loss: 2.1146 2022/08/01 00:42:59 - mmengine - INFO - Epoch(train) [3][740/940] lr: 1.0000e-02 eta: 22:29:53 time: 0.8406 data_time: 0.0465 memory: 21548 grad_norm: 3.2601 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.9837 loss: 1.9837 2022/08/01 00:43:15 - mmengine - INFO - Epoch(train) [3][760/940] lr: 1.0000e-02 eta: 22:28:50 time: 0.8212 data_time: 0.0423 memory: 21548 grad_norm: 3.2141 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.1230 loss: 2.1230 2022/08/01 00:43:34 - mmengine - INFO - Epoch(train) [3][780/940] lr: 1.0000e-02 eta: 22:29:01 time: 0.9280 data_time: 0.0398 memory: 21548 grad_norm: 3.2454 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.0677 loss: 2.0677 2022/08/01 00:43:49 - mmengine - INFO - Epoch(train) [3][800/940] lr: 1.0000e-02 eta: 22:27:24 time: 0.7694 data_time: 0.0542 memory: 21548 grad_norm: 3.2299 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.0745 loss: 2.0745 2022/08/01 00:44:07 - mmengine - INFO - Epoch(train) [3][820/940] lr: 1.0000e-02 eta: 22:27:00 time: 0.8761 data_time: 0.0420 memory: 21548 grad_norm: 3.2581 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.1479 loss: 2.1479 2022/08/01 00:44:24 - mmengine - INFO - Epoch(train) [3][840/940] lr: 1.0000e-02 eta: 22:26:17 time: 0.8472 data_time: 0.0365 memory: 21548 grad_norm: 3.2231 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0137 loss: 2.0137 2022/08/01 00:44:41 - mmengine - INFO - Epoch(train) [3][860/940] lr: 1.0000e-02 eta: 22:25:40 time: 0.8564 data_time: 0.0448 memory: 21548 grad_norm: 3.2542 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.0341 loss: 2.0341 2022/08/01 00:44:59 - mmengine - INFO - Epoch(train) [3][880/940] lr: 1.0000e-02 eta: 22:25:36 time: 0.9058 data_time: 0.0427 memory: 21548 grad_norm: 3.2300 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0480 loss: 2.0480 2022/08/01 00:45:16 - mmengine - INFO - Epoch(train) [3][900/940] lr: 1.0000e-02 eta: 22:24:45 time: 0.8339 data_time: 0.0425 memory: 21548 grad_norm: 3.2381 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.9638 loss: 1.9638 2022/08/01 00:45:34 - mmengine - INFO - Epoch(train) [3][920/940] lr: 1.0000e-02 eta: 22:25:06 time: 0.9432 data_time: 0.0314 memory: 21548 grad_norm: 3.2778 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1199 loss: 2.1199 2022/08/01 00:45:48 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 00:45:48 - mmengine - INFO - Epoch(train) [3][940/940] lr: 1.0000e-02 eta: 22:22:20 time: 0.6561 data_time: 0.0294 memory: 21548 grad_norm: 3.3800 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.1401 loss: 2.1401 2022/08/01 00:45:48 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/08/01 00:46:10 - mmengine - INFO - Epoch(val) [3][20/78] eta: 0:00:59 time: 1.0200 data_time: 0.8981 memory: 3271 2022/08/01 00:46:24 - mmengine - INFO - Epoch(val) [3][40/78] eta: 0:00:26 time: 0.7049 data_time: 0.5851 memory: 3271 2022/08/01 00:46:44 - mmengine - INFO - Epoch(val) [3][60/78] eta: 0:00:17 time: 0.9804 data_time: 0.8562 memory: 3271 2022/08/01 00:46:57 - mmengine - INFO - Epoch(val) [3][78/78] acc/top1: 0.5708 acc/top5: 0.8140 acc/mean1: 0.5706 2022/08/01 00:46:57 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_3.pth is removed 2022/08/01 00:46:58 - mmengine - INFO - The best checkpoint with 0.5708 acc/top1 at 4 epoch is saved to best_acc/top1_epoch_4.pth. 2022/08/01 00:47:20 - mmengine - INFO - Epoch(train) [4][20/940] lr: 1.0000e-02 eta: 22:24:39 time: 1.1273 data_time: 0.7261 memory: 21548 grad_norm: 3.1499 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9081 loss: 1.9081 2022/08/01 00:47:36 - mmengine - INFO - Epoch(train) [4][40/940] lr: 1.0000e-02 eta: 22:23:12 time: 0.7770 data_time: 0.3568 memory: 21548 grad_norm: 3.2269 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.9331 loss: 1.9331 2022/08/01 00:47:54 - mmengine - INFO - Epoch(train) [4][60/940] lr: 1.0000e-02 eta: 22:23:08 time: 0.9047 data_time: 0.4977 memory: 21548 grad_norm: 3.2624 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9886 loss: 1.9886 2022/08/01 00:48:10 - mmengine - INFO - Epoch(train) [4][80/940] lr: 1.0000e-02 eta: 22:22:06 time: 0.8146 data_time: 0.3650 memory: 21548 grad_norm: 3.3075 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.0323 loss: 2.0323 2022/08/01 00:48:28 - mmengine - INFO - Epoch(train) [4][100/940] lr: 1.0000e-02 eta: 22:21:42 time: 0.8734 data_time: 0.3785 memory: 21548 grad_norm: 3.1889 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9504 loss: 1.9504 2022/08/01 00:48:44 - mmengine - INFO - Epoch(train) [4][120/940] lr: 1.0000e-02 eta: 22:20:54 time: 0.8352 data_time: 0.2276 memory: 21548 grad_norm: 3.2117 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.9085 loss: 1.9085 2022/08/01 00:49:04 - mmengine - INFO - Epoch(train) [4][140/940] lr: 1.0000e-02 eta: 22:21:26 time: 0.9646 data_time: 0.1148 memory: 21548 grad_norm: 3.2605 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.0167 loss: 2.0167 2022/08/01 00:49:19 - mmengine - INFO - Epoch(train) [4][160/940] lr: 1.0000e-02 eta: 22:19:58 time: 0.7694 data_time: 0.0700 memory: 21548 grad_norm: 3.2725 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.9552 loss: 1.9552 2022/08/01 00:49:38 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 00:49:38 - mmengine - INFO - Epoch(train) [4][180/940] lr: 1.0000e-02 eta: 22:20:09 time: 0.9302 data_time: 0.0982 memory: 21548 grad_norm: 3.2449 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.8833 loss: 1.8833 2022/08/01 00:49:54 - mmengine - INFO - Epoch(train) [4][200/940] lr: 1.0000e-02 eta: 22:19:08 time: 0.8117 data_time: 0.1724 memory: 21548 grad_norm: 3.2192 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9581 loss: 1.9581 2022/08/01 00:50:13 - mmengine - INFO - Epoch(train) [4][220/940] lr: 1.0000e-02 eta: 22:19:17 time: 0.9276 data_time: 0.2065 memory: 21548 grad_norm: 3.2017 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 2.0211 loss: 2.0211 2022/08/01 00:50:28 - mmengine - INFO - Epoch(train) [4][240/940] lr: 1.0000e-02 eta: 22:18:01 time: 0.7841 data_time: 0.0327 memory: 21548 grad_norm: 3.2728 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 2.1222 loss: 2.1222 2022/08/01 00:50:47 - mmengine - INFO - Epoch(train) [4][260/940] lr: 1.0000e-02 eta: 22:18:09 time: 0.9266 data_time: 0.0385 memory: 21548 grad_norm: 3.2798 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9514 loss: 1.9514 2022/08/01 00:51:02 - mmengine - INFO - Epoch(train) [4][280/940] lr: 1.0000e-02 eta: 22:16:30 time: 0.7450 data_time: 0.0480 memory: 21548 grad_norm: 3.2964 top1_acc: 0.3438 top5_acc: 0.6875 loss_cls: 2.0639 loss: 2.0639 2022/08/01 00:51:21 - mmengine - INFO - Epoch(train) [4][300/940] lr: 1.0000e-02 eta: 22:16:56 time: 0.9562 data_time: 0.0408 memory: 21548 grad_norm: 3.2694 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9987 loss: 1.9987 2022/08/01 00:51:36 - mmengine - INFO - Epoch(train) [4][320/940] lr: 1.0000e-02 eta: 22:15:33 time: 0.7710 data_time: 0.0355 memory: 21548 grad_norm: 3.2876 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.9033 loss: 1.9033 2022/08/01 00:51:55 - mmengine - INFO - Epoch(train) [4][340/940] lr: 1.0000e-02 eta: 22:15:44 time: 0.9314 data_time: 0.0427 memory: 21548 grad_norm: 3.2334 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.8708 loss: 1.8708 2022/08/01 00:52:10 - mmengine - INFO - Epoch(train) [4][360/940] lr: 1.0000e-02 eta: 22:14:07 time: 0.7437 data_time: 0.0524 memory: 21548 grad_norm: 3.3618 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.0584 loss: 2.0584 2022/08/01 00:52:28 - mmengine - INFO - Epoch(train) [4][380/940] lr: 1.0000e-02 eta: 22:14:02 time: 0.9035 data_time: 0.0477 memory: 21548 grad_norm: 3.3012 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.0016 loss: 2.0016 2022/08/01 00:52:43 - mmengine - INFO - Epoch(train) [4][400/940] lr: 1.0000e-02 eta: 22:12:29 time: 0.7475 data_time: 0.0406 memory: 21548 grad_norm: 3.3447 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.9544 loss: 1.9544 2022/08/01 00:53:02 - mmengine - INFO - Epoch(train) [4][420/940] lr: 1.0000e-02 eta: 22:13:04 time: 0.9748 data_time: 0.0394 memory: 21548 grad_norm: 3.2610 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.9852 loss: 1.9852 2022/08/01 00:53:17 - mmengine - INFO - Epoch(train) [4][440/940] lr: 1.0000e-02 eta: 22:11:14 time: 0.7150 data_time: 0.0408 memory: 21548 grad_norm: 3.3037 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.0585 loss: 2.0585 2022/08/01 00:53:35 - mmengine - INFO - Epoch(train) [4][460/940] lr: 1.0000e-02 eta: 22:11:21 time: 0.9254 data_time: 0.0452 memory: 21548 grad_norm: 3.2349 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.9290 loss: 1.9290 2022/08/01 00:53:51 - mmengine - INFO - Epoch(train) [4][480/940] lr: 1.0000e-02 eta: 22:10:05 time: 0.7736 data_time: 0.0413 memory: 21548 grad_norm: 3.2218 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 1.9880 loss: 1.9880 2022/08/01 00:54:09 - mmengine - INFO - Epoch(train) [4][500/940] lr: 1.0000e-02 eta: 22:10:24 time: 0.9477 data_time: 0.0376 memory: 21548 grad_norm: 3.2563 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9667 loss: 1.9667 2022/08/01 00:54:25 - mmengine - INFO - Epoch(train) [4][520/940] lr: 1.0000e-02 eta: 22:09:07 time: 0.7707 data_time: 0.0703 memory: 21548 grad_norm: 3.2931 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9318 loss: 1.9318 2022/08/01 00:54:43 - mmengine - INFO - Epoch(train) [4][540/940] lr: 1.0000e-02 eta: 22:09:01 time: 0.9014 data_time: 0.0352 memory: 21548 grad_norm: 3.3025 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.9066 loss: 1.9066 2022/08/01 00:54:59 - mmengine - INFO - Epoch(train) [4][560/940] lr: 1.0000e-02 eta: 22:08:11 time: 0.8184 data_time: 0.0674 memory: 21548 grad_norm: 3.2586 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.9041 loss: 1.9041 2022/08/01 00:55:19 - mmengine - INFO - Epoch(train) [4][580/940] lr: 1.0000e-02 eta: 22:08:37 time: 0.9617 data_time: 0.0367 memory: 21548 grad_norm: 3.2874 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1084 loss: 2.1084 2022/08/01 00:55:33 - mmengine - INFO - Epoch(train) [4][600/940] lr: 1.0000e-02 eta: 22:07:06 time: 0.7416 data_time: 0.0446 memory: 21548 grad_norm: 3.3027 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.9605 loss: 1.9605 2022/08/01 00:55:52 - mmengine - INFO - Epoch(train) [4][620/940] lr: 1.0000e-02 eta: 22:07:21 time: 0.9403 data_time: 0.0336 memory: 21548 grad_norm: 3.3113 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 1.8738 loss: 1.8738 2022/08/01 00:56:08 - mmengine - INFO - Epoch(train) [4][640/940] lr: 1.0000e-02 eta: 22:06:09 time: 0.7749 data_time: 0.0386 memory: 21548 grad_norm: 3.3149 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.9729 loss: 1.9729 2022/08/01 00:56:26 - mmengine - INFO - Epoch(train) [4][660/940] lr: 1.0000e-02 eta: 22:06:13 time: 0.9211 data_time: 0.0359 memory: 21548 grad_norm: 3.3342 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0622 loss: 2.0622 2022/08/01 00:56:42 - mmengine - INFO - Epoch(train) [4][680/940] lr: 1.0000e-02 eta: 22:05:13 time: 0.7968 data_time: 0.0541 memory: 21548 grad_norm: 3.2671 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 2.0135 loss: 2.0135 2022/08/01 00:57:01 - mmengine - INFO - Epoch(train) [4][700/940] lr: 1.0000e-02 eta: 22:05:42 time: 0.9695 data_time: 0.0399 memory: 21548 grad_norm: 3.3611 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9979 loss: 1.9979 2022/08/01 00:57:16 - mmengine - INFO - Epoch(train) [4][720/940] lr: 1.0000e-02 eta: 22:04:10 time: 0.7339 data_time: 0.0492 memory: 21548 grad_norm: 3.3279 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7967 loss: 1.7967 2022/08/01 00:57:34 - mmengine - INFO - Epoch(train) [4][740/940] lr: 1.0000e-02 eta: 22:04:12 time: 0.9168 data_time: 0.0379 memory: 21548 grad_norm: 3.3756 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.9977 loss: 1.9977 2022/08/01 00:57:50 - mmengine - INFO - Epoch(train) [4][760/940] lr: 1.0000e-02 eta: 22:02:58 time: 0.7668 data_time: 0.0682 memory: 21548 grad_norm: 3.3532 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.8646 loss: 1.8646 2022/08/01 00:58:08 - mmengine - INFO - Epoch(train) [4][780/940] lr: 1.0000e-02 eta: 22:03:05 time: 0.9265 data_time: 0.0432 memory: 21548 grad_norm: 3.2866 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9603 loss: 1.9603 2022/08/01 00:58:24 - mmengine - INFO - Epoch(train) [4][800/940] lr: 1.0000e-02 eta: 22:02:13 time: 0.8078 data_time: 0.0641 memory: 21548 grad_norm: 3.2824 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.8950 loss: 1.8950 2022/08/01 00:58:43 - mmengine - INFO - Epoch(train) [4][820/940] lr: 1.0000e-02 eta: 22:02:16 time: 0.9197 data_time: 0.0341 memory: 21548 grad_norm: 3.2945 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8728 loss: 1.8728 2022/08/01 00:58:58 - mmengine - INFO - Epoch(train) [4][840/940] lr: 1.0000e-02 eta: 22:01:11 time: 0.7823 data_time: 0.0486 memory: 21548 grad_norm: 3.3595 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.8989 loss: 1.8989 2022/08/01 00:59:15 - mmengine - INFO - Epoch(train) [4][860/940] lr: 1.0000e-02 eta: 22:00:37 time: 0.8443 data_time: 0.0724 memory: 21548 grad_norm: 3.2802 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9285 loss: 1.9285 2022/08/01 00:59:33 - mmengine - INFO - Epoch(train) [4][880/940] lr: 1.0000e-02 eta: 22:00:17 time: 0.8713 data_time: 0.1974 memory: 21548 grad_norm: 3.2984 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9870 loss: 1.9870 2022/08/01 00:59:49 - mmengine - INFO - Epoch(train) [4][900/940] lr: 1.0000e-02 eta: 21:59:35 time: 0.8266 data_time: 0.1206 memory: 21548 grad_norm: 3.3517 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.8301 loss: 1.8301 2022/08/01 01:00:05 - mmengine - INFO - Epoch(train) [4][920/940] lr: 1.0000e-02 eta: 21:58:42 time: 0.8042 data_time: 0.2188 memory: 21548 grad_norm: 3.3522 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 1.8587 loss: 1.8587 2022/08/01 01:00:22 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 01:00:22 - mmengine - INFO - Epoch(train) [4][940/940] lr: 1.0000e-02 eta: 21:57:54 time: 0.8145 data_time: 0.1151 memory: 21548 grad_norm: 3.4313 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.9725 loss: 1.9725 2022/08/01 01:00:42 - mmengine - INFO - Epoch(val) [4][20/78] eta: 0:00:57 time: 0.9993 data_time: 0.8744 memory: 3271 2022/08/01 01:00:56 - mmengine - INFO - Epoch(val) [4][40/78] eta: 0:00:26 time: 0.7046 data_time: 0.5840 memory: 3271 2022/08/01 01:01:16 - mmengine - INFO - Epoch(val) [4][60/78] eta: 0:00:17 time: 0.9851 data_time: 0.8581 memory: 3271 2022/08/01 01:01:30 - mmengine - INFO - Epoch(val) [4][78/78] acc/top1: 0.5836 acc/top5: 0.8240 acc/mean1: 0.5833 2022/08/01 01:01:30 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_4.pth is removed 2022/08/01 01:01:32 - mmengine - INFO - The best checkpoint with 0.5836 acc/top1 at 5 epoch is saved to best_acc/top1_epoch_5.pth. 2022/08/01 01:01:54 - mmengine - INFO - Epoch(train) [5][20/940] lr: 1.0000e-02 eta: 21:59:09 time: 1.0699 data_time: 0.6810 memory: 21548 grad_norm: 3.2767 top1_acc: 0.4375 top5_acc: 0.8438 loss_cls: 1.8855 loss: 1.8855 2022/08/01 01:02:09 - mmengine - INFO - Epoch(train) [5][40/940] lr: 1.0000e-02 eta: 21:57:55 time: 0.7576 data_time: 0.3717 memory: 21548 grad_norm: 3.2542 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.8329 loss: 1.8329 2022/08/01 01:02:29 - mmengine - INFO - Epoch(train) [5][60/940] lr: 1.0000e-02 eta: 21:58:42 time: 1.0131 data_time: 0.5845 memory: 21548 grad_norm: 3.2988 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7097 loss: 1.7097 2022/08/01 01:02:44 - mmengine - INFO - Epoch(train) [5][80/940] lr: 1.0000e-02 eta: 21:57:29 time: 0.7590 data_time: 0.3605 memory: 21548 grad_norm: 3.3140 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.8372 loss: 1.8372 2022/08/01 01:03:03 - mmengine - INFO - Epoch(train) [5][100/940] lr: 1.0000e-02 eta: 21:57:27 time: 0.9104 data_time: 0.4976 memory: 21548 grad_norm: 3.3047 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.8836 loss: 1.8836 2022/08/01 01:03:20 - mmengine - INFO - Epoch(train) [5][120/940] lr: 1.0000e-02 eta: 21:57:05 time: 0.8671 data_time: 0.4147 memory: 21548 grad_norm: 3.3022 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.8535 loss: 1.8535 2022/08/01 01:03:38 - mmengine - INFO - Epoch(train) [5][140/940] lr: 1.0000e-02 eta: 21:56:54 time: 0.8904 data_time: 0.4450 memory: 21548 grad_norm: 3.3120 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.9194 loss: 1.9194 2022/08/01 01:03:54 - mmengine - INFO - Epoch(train) [5][160/940] lr: 1.0000e-02 eta: 21:56:02 time: 0.8037 data_time: 0.3810 memory: 21548 grad_norm: 3.2878 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.9644 loss: 1.9644 2022/08/01 01:04:13 - mmengine - INFO - Epoch(train) [5][180/940] lr: 1.0000e-02 eta: 21:56:16 time: 0.9457 data_time: 0.5084 memory: 21548 grad_norm: 3.3002 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 2.0289 loss: 2.0289 2022/08/01 01:04:27 - mmengine - INFO - Epoch(train) [5][200/940] lr: 1.0000e-02 eta: 21:54:48 time: 0.7213 data_time: 0.3105 memory: 21548 grad_norm: 3.2720 top1_acc: 0.6562 top5_acc: 0.7188 loss_cls: 1.7567 loss: 1.7567 2022/08/01 01:04:46 - mmengine - INFO - Epoch(train) [5][220/940] lr: 1.0000e-02 eta: 21:54:55 time: 0.9292 data_time: 0.4461 memory: 21548 grad_norm: 3.2795 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.8030 loss: 1.8030 2022/08/01 01:05:01 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 01:05:01 - mmengine - INFO - Epoch(train) [5][240/940] lr: 1.0000e-02 eta: 21:53:50 time: 0.7712 data_time: 0.2446 memory: 21548 grad_norm: 3.2959 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 1.9614 loss: 1.9614 2022/08/01 01:05:20 - mmengine - INFO - Epoch(train) [5][260/940] lr: 1.0000e-02 eta: 21:54:06 time: 0.9516 data_time: 0.3693 memory: 21548 grad_norm: 3.3192 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8525 loss: 1.8525 2022/08/01 01:05:34 - mmengine - INFO - Epoch(train) [5][280/940] lr: 1.0000e-02 eta: 21:52:29 time: 0.6980 data_time: 0.2270 memory: 21548 grad_norm: 3.3088 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7093 loss: 1.7093 2022/08/01 01:05:54 - mmengine - INFO - Epoch(train) [5][300/940] lr: 1.0000e-02 eta: 21:53:11 time: 1.0094 data_time: 0.5848 memory: 21548 grad_norm: 3.3300 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.8585 loss: 1.8585 2022/08/01 01:06:10 - mmengine - INFO - Epoch(train) [5][320/940] lr: 1.0000e-02 eta: 21:52:19 time: 0.7985 data_time: 0.3829 memory: 21548 grad_norm: 3.3785 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 2.0197 loss: 2.0197 2022/08/01 01:06:30 - mmengine - INFO - Epoch(train) [5][340/940] lr: 1.0000e-02 eta: 21:52:46 time: 0.9772 data_time: 0.5232 memory: 21548 grad_norm: 3.3415 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9001 loss: 1.9001 2022/08/01 01:06:45 - mmengine - INFO - Epoch(train) [5][360/940] lr: 1.0000e-02 eta: 21:51:28 time: 0.7368 data_time: 0.3106 memory: 21548 grad_norm: 3.3639 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0096 loss: 2.0096 2022/08/01 01:07:04 - mmengine - INFO - Epoch(train) [5][380/940] lr: 1.0000e-02 eta: 21:52:01 time: 0.9926 data_time: 0.5216 memory: 21548 grad_norm: 3.3630 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.8840 loss: 1.8840 2022/08/01 01:07:20 - mmengine - INFO - Epoch(train) [5][400/940] lr: 1.0000e-02 eta: 21:50:56 time: 0.7654 data_time: 0.3275 memory: 21548 grad_norm: 3.3555 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 2.0161 loss: 2.0161 2022/08/01 01:07:40 - mmengine - INFO - Epoch(train) [5][420/940] lr: 1.0000e-02 eta: 21:51:39 time: 1.0168 data_time: 0.5098 memory: 21548 grad_norm: 3.3430 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 1.9545 loss: 1.9545 2022/08/01 01:07:54 - mmengine - INFO - Epoch(train) [5][440/940] lr: 1.0000e-02 eta: 21:49:56 time: 0.6761 data_time: 0.2647 memory: 21548 grad_norm: 3.3410 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.8485 loss: 1.8485 2022/08/01 01:08:13 - mmengine - INFO - Epoch(train) [5][460/940] lr: 1.0000e-02 eta: 21:50:15 time: 0.9615 data_time: 0.4053 memory: 21548 grad_norm: 3.3696 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8218 loss: 1.8218 2022/08/01 01:08:28 - mmengine - INFO - Epoch(train) [5][480/940] lr: 1.0000e-02 eta: 21:49:14 time: 0.7730 data_time: 0.1564 memory: 21548 grad_norm: 3.3657 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.8657 loss: 1.8657 2022/08/01 01:08:47 - mmengine - INFO - Epoch(train) [5][500/940] lr: 1.0000e-02 eta: 21:49:29 time: 0.9508 data_time: 0.2289 memory: 21548 grad_norm: 3.3584 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.9397 loss: 1.9397 2022/08/01 01:09:02 - mmengine - INFO - Epoch(train) [5][520/940] lr: 1.0000e-02 eta: 21:48:10 time: 0.7306 data_time: 0.1757 memory: 21548 grad_norm: 3.3621 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7902 loss: 1.7902 2022/08/01 01:09:22 - mmengine - INFO - Epoch(train) [5][540/940] lr: 1.0000e-02 eta: 21:48:44 time: 0.9982 data_time: 0.4756 memory: 21548 grad_norm: 3.3396 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.8886 loss: 1.8886 2022/08/01 01:09:37 - mmengine - INFO - Epoch(train) [5][560/940] lr: 1.0000e-02 eta: 21:47:46 time: 0.7775 data_time: 0.3608 memory: 21548 grad_norm: 3.2885 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9468 loss: 1.9468 2022/08/01 01:09:57 - mmengine - INFO - Epoch(train) [5][580/940] lr: 1.0000e-02 eta: 21:48:10 time: 0.9744 data_time: 0.5229 memory: 21548 grad_norm: 3.3978 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.0122 loss: 2.0122 2022/08/01 01:10:12 - mmengine - INFO - Epoch(train) [5][600/940] lr: 1.0000e-02 eta: 21:46:51 time: 0.7274 data_time: 0.2932 memory: 21548 grad_norm: 3.3362 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0052 loss: 2.0052 2022/08/01 01:10:32 - mmengine - INFO - Epoch(train) [5][620/940] lr: 1.0000e-02 eta: 21:47:29 time: 1.0101 data_time: 0.3430 memory: 21548 grad_norm: 3.3714 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.8085 loss: 1.8085 2022/08/01 01:10:50 - mmengine - INFO - Epoch(train) [5][640/940] lr: 1.0000e-02 eta: 21:47:22 time: 0.9015 data_time: 0.0297 memory: 21548 grad_norm: 3.3738 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.7663 loss: 1.7663 2022/08/01 01:11:07 - mmengine - INFO - Epoch(train) [5][660/940] lr: 1.0000e-02 eta: 21:46:56 time: 0.8525 data_time: 0.2368 memory: 21548 grad_norm: 3.3956 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.8642 loss: 1.8642 2022/08/01 01:11:24 - mmengine - INFO - Epoch(train) [5][680/940] lr: 1.0000e-02 eta: 21:46:32 time: 0.8598 data_time: 0.1626 memory: 21548 grad_norm: 3.3742 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.8756 loss: 1.8756 2022/08/01 01:11:40 - mmengine - INFO - Epoch(train) [5][700/940] lr: 1.0000e-02 eta: 21:45:54 time: 0.8240 data_time: 0.1300 memory: 21548 grad_norm: 3.4025 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.8369 loss: 1.8369 2022/08/01 01:11:58 - mmengine - INFO - Epoch(train) [5][720/940] lr: 1.0000e-02 eta: 21:45:35 time: 0.8728 data_time: 0.1742 memory: 21548 grad_norm: 3.3676 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.8273 loss: 1.8273 2022/08/01 01:12:16 - mmengine - INFO - Epoch(train) [5][740/940] lr: 1.0000e-02 eta: 21:45:33 time: 0.9142 data_time: 0.0827 memory: 21548 grad_norm: 3.3648 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.7538 loss: 1.7538 2022/08/01 01:12:32 - mmengine - INFO - Epoch(train) [5][760/940] lr: 1.0000e-02 eta: 21:44:48 time: 0.8050 data_time: 0.1855 memory: 21548 grad_norm: 3.4850 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.9016 loss: 1.9016 2022/08/01 01:12:49 - mmengine - INFO - Epoch(train) [5][780/940] lr: 1.0000e-02 eta: 21:44:16 time: 0.8368 data_time: 0.1585 memory: 21548 grad_norm: 3.3638 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 1.7701 loss: 1.7701 2022/08/01 01:13:18 - mmengine - INFO - Epoch(train) [5][800/940] lr: 1.0000e-02 eta: 21:47:37 time: 1.4327 data_time: 0.0294 memory: 21548 grad_norm: 3.3923 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8708 loss: 1.8708 2022/08/01 01:13:38 - mmengine - INFO - Epoch(train) [5][820/940] lr: 1.0000e-02 eta: 21:48:04 time: 0.9906 data_time: 0.0344 memory: 21548 grad_norm: 3.4464 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8709 loss: 1.8709 2022/08/01 01:13:55 - mmengine - INFO - Epoch(train) [5][840/940] lr: 1.0000e-02 eta: 21:47:51 time: 0.8892 data_time: 0.0329 memory: 21548 grad_norm: 3.3819 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.9437 loss: 1.9437 2022/08/01 01:14:10 - mmengine - INFO - Epoch(train) [5][860/940] lr: 1.0000e-02 eta: 21:46:42 time: 0.7451 data_time: 0.0453 memory: 21548 grad_norm: 3.3348 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.8678 loss: 1.8678 2022/08/01 01:14:28 - mmengine - INFO - Epoch(train) [5][880/940] lr: 1.0000e-02 eta: 21:46:37 time: 0.9099 data_time: 0.0429 memory: 21548 grad_norm: 3.3635 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.7555 loss: 1.7555 2022/08/01 01:14:45 - mmengine - INFO - Epoch(train) [5][900/940] lr: 1.0000e-02 eta: 21:45:55 time: 0.8145 data_time: 0.0490 memory: 21548 grad_norm: 3.3691 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.7409 loss: 1.7409 2022/08/01 01:15:03 - mmengine - INFO - Epoch(train) [5][920/940] lr: 1.0000e-02 eta: 21:45:44 time: 0.8938 data_time: 0.0389 memory: 21548 grad_norm: 3.3933 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.9257 loss: 1.9257 2022/08/01 01:15:20 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 01:15:20 - mmengine - INFO - Epoch(train) [5][940/940] lr: 1.0000e-02 eta: 21:45:16 time: 0.8494 data_time: 0.0295 memory: 21548 grad_norm: 3.5686 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.9236 loss: 1.9236 2022/08/01 01:15:47 - mmengine - INFO - Epoch(val) [5][20/78] eta: 0:01:18 time: 1.3499 data_time: 1.2348 memory: 3271 2022/08/01 01:16:02 - mmengine - INFO - Epoch(val) [5][40/78] eta: 0:00:29 time: 0.7666 data_time: 0.6530 memory: 3271 2022/08/01 01:16:23 - mmengine - INFO - Epoch(val) [5][60/78] eta: 0:00:18 time: 1.0459 data_time: 0.9311 memory: 3271 2022/08/01 01:16:40 - mmengine - INFO - Epoch(val) [5][78/78] acc/top1: 0.6107 acc/top5: 0.8474 acc/mean1: 0.6105 2022/08/01 01:16:40 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_5.pth is removed 2022/08/01 01:16:42 - mmengine - INFO - The best checkpoint with 0.6107 acc/top1 at 6 epoch is saved to best_acc/top1_epoch_6.pth. 2022/08/01 01:17:09 - mmengine - INFO - Epoch(train) [6][20/940] lr: 1.0000e-02 eta: 21:48:15 time: 1.3958 data_time: 0.3284 memory: 21548 grad_norm: 3.3177 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.6854 loss: 1.6854 2022/08/01 01:17:30 - mmengine - INFO - Epoch(train) [6][40/940] lr: 1.0000e-02 eta: 21:48:46 time: 1.0079 data_time: 0.0334 memory: 21548 grad_norm: 3.3041 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.7390 loss: 1.7390 2022/08/01 01:17:51 - mmengine - INFO - Epoch(train) [6][60/940] lr: 1.0000e-02 eta: 21:49:32 time: 1.0493 data_time: 0.0414 memory: 21548 grad_norm: 3.4054 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9281 loss: 1.9281 2022/08/01 01:18:05 - mmengine - INFO - Epoch(train) [6][80/940] lr: 1.0000e-02 eta: 21:48:19 time: 0.7333 data_time: 0.0337 memory: 21548 grad_norm: 3.4051 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.6637 loss: 1.6637 2022/08/01 01:18:26 - mmengine - INFO - Epoch(train) [6][100/940] lr: 1.0000e-02 eta: 21:48:57 time: 1.0297 data_time: 0.0374 memory: 21548 grad_norm: 3.3592 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 1.8400 loss: 1.8400 2022/08/01 01:18:45 - mmengine - INFO - Epoch(train) [6][120/940] lr: 1.0000e-02 eta: 21:49:13 time: 0.9716 data_time: 0.3103 memory: 21548 grad_norm: 3.3463 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7902 loss: 1.7902 2022/08/01 01:19:03 - mmengine - INFO - Epoch(train) [6][140/940] lr: 1.0000e-02 eta: 21:48:56 time: 0.8815 data_time: 0.3093 memory: 21548 grad_norm: 3.3500 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.9005 loss: 1.9005 2022/08/01 01:19:20 - mmengine - INFO - Epoch(train) [6][160/940] lr: 1.0000e-02 eta: 21:48:27 time: 0.8504 data_time: 0.2997 memory: 21548 grad_norm: 3.3959 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.7230 loss: 1.7230 2022/08/01 01:19:35 - mmengine - INFO - Epoch(train) [6][180/940] lr: 1.0000e-02 eta: 21:47:30 time: 0.7718 data_time: 0.1615 memory: 21548 grad_norm: 3.3302 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.8055 loss: 1.8055 2022/08/01 01:19:57 - mmengine - INFO - Epoch(train) [6][200/940] lr: 1.0000e-02 eta: 21:48:30 time: 1.0944 data_time: 0.4027 memory: 21548 grad_norm: 3.3953 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 1.7760 loss: 1.7760 2022/08/01 01:20:13 - mmengine - INFO - Epoch(train) [6][220/940] lr: 1.0000e-02 eta: 21:47:44 time: 0.8032 data_time: 0.3892 memory: 21548 grad_norm: 3.3726 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7733 loss: 1.7733 2022/08/01 01:20:33 - mmengine - INFO - Epoch(train) [6][240/940] lr: 1.0000e-02 eta: 21:48:05 time: 0.9872 data_time: 0.4591 memory: 21548 grad_norm: 3.4142 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8859 loss: 1.8859 2022/08/01 01:20:50 - mmengine - INFO - Epoch(train) [6][260/940] lr: 1.0000e-02 eta: 21:47:28 time: 0.8279 data_time: 0.2197 memory: 21548 grad_norm: 3.3833 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 1.8675 loss: 1.8675 2022/08/01 01:21:08 - mmengine - INFO - Epoch(train) [6][280/940] lr: 1.0000e-02 eta: 21:47:23 time: 0.9172 data_time: 0.0375 memory: 21548 grad_norm: 3.3642 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 1.8038 loss: 1.8038 2022/08/01 01:21:25 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 01:21:25 - mmengine - INFO - Epoch(train) [6][300/940] lr: 1.0000e-02 eta: 21:47:01 time: 0.8682 data_time: 0.2153 memory: 21548 grad_norm: 3.3286 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.8649 loss: 1.8649 2022/08/01 01:21:43 - mmengine - INFO - Epoch(train) [6][320/940] lr: 1.0000e-02 eta: 21:46:38 time: 0.8650 data_time: 0.1552 memory: 21548 grad_norm: 3.4119 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.7999 loss: 1.7999 2022/08/01 01:22:01 - mmengine - INFO - Epoch(train) [6][340/940] lr: 1.0000e-02 eta: 21:46:38 time: 0.9319 data_time: 0.0341 memory: 21548 grad_norm: 3.4734 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9018 loss: 1.9018 2022/08/01 01:22:19 - mmengine - INFO - Epoch(train) [6][360/940] lr: 1.0000e-02 eta: 21:46:28 time: 0.9034 data_time: 0.0387 memory: 21548 grad_norm: 3.3360 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.8860 loss: 1.8860 2022/08/01 01:22:36 - mmengine - INFO - Epoch(train) [6][380/940] lr: 1.0000e-02 eta: 21:45:50 time: 0.8235 data_time: 0.0411 memory: 21548 grad_norm: 3.3572 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.7796 loss: 1.7796 2022/08/01 01:22:57 - mmengine - INFO - Epoch(train) [6][400/940] lr: 1.0000e-02 eta: 21:46:43 time: 1.0821 data_time: 0.0867 memory: 21548 grad_norm: 3.3729 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.6451 loss: 1.6451 2022/08/01 01:23:14 - mmengine - INFO - Epoch(train) [6][420/940] lr: 1.0000e-02 eta: 21:45:58 time: 0.8043 data_time: 0.0276 memory: 21548 grad_norm: 3.3881 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.8361 loss: 1.8361 2022/08/01 01:23:35 - mmengine - INFO - Epoch(train) [6][440/940] lr: 1.0000e-02 eta: 21:46:42 time: 1.0595 data_time: 0.0357 memory: 21548 grad_norm: 3.3971 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.8286 loss: 1.8286 2022/08/01 01:23:54 - mmengine - INFO - Epoch(train) [6][460/940] lr: 1.0000e-02 eta: 21:46:48 time: 0.9503 data_time: 0.0285 memory: 21548 grad_norm: 3.4144 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.8011 loss: 1.8011 2022/08/01 01:24:11 - mmengine - INFO - Epoch(train) [6][480/940] lr: 1.0000e-02 eta: 21:46:20 time: 0.8525 data_time: 0.0384 memory: 21548 grad_norm: 3.4235 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.7964 loss: 1.7964 2022/08/01 01:24:27 - mmengine - INFO - Epoch(train) [6][500/940] lr: 1.0000e-02 eta: 21:45:31 time: 0.7899 data_time: 0.0368 memory: 21548 grad_norm: 3.4303 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.9020 loss: 1.9020 2022/08/01 01:24:45 - mmengine - INFO - Epoch(train) [6][520/940] lr: 1.0000e-02 eta: 21:45:28 time: 0.9251 data_time: 0.0380 memory: 21548 grad_norm: 3.4022 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.6655 loss: 1.6655 2022/08/01 01:25:03 - mmengine - INFO - Epoch(train) [6][540/940] lr: 1.0000e-02 eta: 21:45:20 time: 0.9130 data_time: 0.0486 memory: 21548 grad_norm: 3.3559 top1_acc: 0.3438 top5_acc: 0.6875 loss_cls: 1.9039 loss: 1.9039 2022/08/01 01:25:20 - mmengine - INFO - Epoch(train) [6][560/940] lr: 1.0000e-02 eta: 21:44:44 time: 0.8272 data_time: 0.0435 memory: 21548 grad_norm: 3.3670 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.8197 loss: 1.8197 2022/08/01 01:25:38 - mmengine - INFO - Epoch(train) [6][580/940] lr: 1.0000e-02 eta: 21:44:24 time: 0.8749 data_time: 0.0422 memory: 21548 grad_norm: 3.3761 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.9013 loss: 1.9013 2022/08/01 01:25:54 - mmengine - INFO - Epoch(train) [6][600/940] lr: 1.0000e-02 eta: 21:43:53 time: 0.8428 data_time: 0.0432 memory: 21548 grad_norm: 3.4104 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.7252 loss: 1.7252 2022/08/01 01:26:14 - mmengine - INFO - Epoch(train) [6][620/940] lr: 1.0000e-02 eta: 21:44:04 time: 0.9668 data_time: 0.1575 memory: 21548 grad_norm: 3.3750 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.8887 loss: 1.8887 2022/08/01 01:26:32 - mmengine - INFO - Epoch(train) [6][640/940] lr: 1.0000e-02 eta: 21:44:07 time: 0.9440 data_time: 0.0300 memory: 21548 grad_norm: 3.3870 top1_acc: 0.3438 top5_acc: 0.7812 loss_cls: 1.9474 loss: 1.9474 2022/08/01 01:26:53 - mmengine - INFO - Epoch(train) [6][660/940] lr: 1.0000e-02 eta: 21:44:28 time: 1.0021 data_time: 0.1072 memory: 21548 grad_norm: 3.4014 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.7180 loss: 1.7180 2022/08/01 01:27:09 - mmengine - INFO - Epoch(train) [6][680/940] lr: 1.0000e-02 eta: 21:43:57 time: 0.8397 data_time: 0.0279 memory: 21548 grad_norm: 3.4157 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.7943 loss: 1.7943 2022/08/01 01:27:26 - mmengine - INFO - Epoch(train) [6][700/940] lr: 1.0000e-02 eta: 21:43:30 time: 0.8555 data_time: 0.1949 memory: 21548 grad_norm: 3.3463 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6881 loss: 1.6881 2022/08/01 01:27:46 - mmengine - INFO - Epoch(train) [6][720/940] lr: 1.0000e-02 eta: 21:43:38 time: 0.9627 data_time: 0.0932 memory: 21548 grad_norm: 3.4092 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.7757 loss: 1.7757 2022/08/01 01:28:07 - mmengine - INFO - Epoch(train) [6][740/940] lr: 1.0000e-02 eta: 21:44:21 time: 1.0672 data_time: 0.1587 memory: 21548 grad_norm: 3.3341 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.7906 loss: 1.7906 2022/08/01 01:28:28 - mmengine - INFO - Epoch(train) [6][760/940] lr: 1.0000e-02 eta: 21:44:51 time: 1.0312 data_time: 0.5990 memory: 21548 grad_norm: 3.4760 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8311 loss: 1.8311 2022/08/01 01:28:46 - mmengine - INFO - Epoch(train) [6][780/940] lr: 1.0000e-02 eta: 21:44:43 time: 0.9133 data_time: 0.3686 memory: 21548 grad_norm: 3.4403 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.7711 loss: 1.7711 2022/08/01 01:29:04 - mmengine - INFO - Epoch(train) [6][800/940] lr: 1.0000e-02 eta: 21:44:24 time: 0.8813 data_time: 0.0860 memory: 21548 grad_norm: 3.4732 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.8767 loss: 1.8767 2022/08/01 01:29:22 - mmengine - INFO - Epoch(train) [6][820/940] lr: 1.0000e-02 eta: 21:44:12 time: 0.9016 data_time: 0.0624 memory: 21548 grad_norm: 3.3212 top1_acc: 0.4375 top5_acc: 0.9062 loss_cls: 1.7681 loss: 1.7681 2022/08/01 01:29:43 - mmengine - INFO - Epoch(train) [6][840/940] lr: 1.0000e-02 eta: 21:44:52 time: 1.0659 data_time: 0.5680 memory: 21548 grad_norm: 3.4140 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7958 loss: 1.7958 2022/08/01 01:30:02 - mmengine - INFO - Epoch(train) [6][860/940] lr: 1.0000e-02 eta: 21:45:04 time: 0.9773 data_time: 0.4825 memory: 21548 grad_norm: 3.4525 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.7827 loss: 1.7827 2022/08/01 01:30:23 - mmengine - INFO - Epoch(train) [6][880/940] lr: 1.0000e-02 eta: 21:45:27 time: 1.0135 data_time: 0.5175 memory: 21548 grad_norm: 3.4455 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.8036 loss: 1.8036 2022/08/01 01:30:47 - mmengine - INFO - Epoch(train) [6][900/940] lr: 1.0000e-02 eta: 21:46:47 time: 1.1966 data_time: 0.1134 memory: 21548 grad_norm: 3.3536 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8160 loss: 1.8160 2022/08/01 01:31:04 - mmengine - INFO - Epoch(train) [6][920/940] lr: 1.0000e-02 eta: 21:46:18 time: 0.8518 data_time: 0.1920 memory: 21548 grad_norm: 3.4306 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.9443 loss: 1.9443 2022/08/01 01:31:27 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 01:31:27 - mmengine - INFO - Epoch(train) [6][940/940] lr: 1.0000e-02 eta: 21:47:21 time: 1.1453 data_time: 0.6427 memory: 21548 grad_norm: 3.5156 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.8257 loss: 1.8257 2022/08/01 01:31:27 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/08/01 01:32:04 - mmengine - INFO - Epoch(val) [6][20/78] eta: 0:01:43 time: 1.7819 data_time: 1.6711 memory: 3271 2022/08/01 01:32:30 - mmengine - INFO - Epoch(val) [6][40/78] eta: 0:00:50 time: 1.3295 data_time: 1.2180 memory: 3271 2022/08/01 01:33:03 - mmengine - INFO - Epoch(val) [6][60/78] eta: 0:00:29 time: 1.6282 data_time: 1.5215 memory: 3271 2022/08/01 01:33:25 - mmengine - INFO - Epoch(val) [6][78/78] acc/top1: 0.6271 acc/top5: 0.8544 acc/mean1: 0.6271 2022/08/01 01:33:25 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_6.pth is removed 2022/08/01 01:33:28 - mmengine - INFO - The best checkpoint with 0.6271 acc/top1 at 7 epoch is saved to best_acc/top1_epoch_7.pth. 2022/08/01 01:33:52 - mmengine - INFO - Epoch(train) [7][20/940] lr: 1.0000e-02 eta: 21:48:42 time: 1.2043 data_time: 0.5881 memory: 21548 grad_norm: 3.4407 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7633 loss: 1.7633 2022/08/01 01:34:09 - mmengine - INFO - Epoch(train) [7][40/940] lr: 1.0000e-02 eta: 21:48:12 time: 0.8468 data_time: 0.2656 memory: 21548 grad_norm: 3.3570 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7482 loss: 1.7482 2022/08/01 01:34:28 - mmengine - INFO - Epoch(train) [7][60/940] lr: 1.0000e-02 eta: 21:48:04 time: 0.9204 data_time: 0.3719 memory: 21548 grad_norm: 3.4351 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.6934 loss: 1.6934 2022/08/01 01:34:45 - mmengine - INFO - Epoch(train) [7][80/940] lr: 1.0000e-02 eta: 21:47:34 time: 0.8516 data_time: 0.1395 memory: 21548 grad_norm: 3.3220 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5957 loss: 1.5957 2022/08/01 01:35:06 - mmengine - INFO - Epoch(train) [7][100/940] lr: 1.0000e-02 eta: 21:48:09 time: 1.0577 data_time: 0.4909 memory: 21548 grad_norm: 3.4883 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.7552 loss: 1.7552 2022/08/01 01:35:24 - mmengine - INFO - Epoch(train) [7][120/940] lr: 1.0000e-02 eta: 21:47:53 time: 0.8974 data_time: 0.4761 memory: 21548 grad_norm: 3.4189 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.7062 loss: 1.7062 2022/08/01 01:35:40 - mmengine - INFO - Epoch(train) [7][140/940] lr: 1.0000e-02 eta: 21:47:13 time: 0.8161 data_time: 0.3270 memory: 21548 grad_norm: 3.3798 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.7121 loss: 1.7121 2022/08/01 01:35:58 - mmengine - INFO - Epoch(train) [7][160/940] lr: 1.0000e-02 eta: 21:46:59 time: 0.8996 data_time: 0.4475 memory: 21548 grad_norm: 3.3732 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6524 loss: 1.6524 2022/08/01 01:36:14 - mmengine - INFO - Epoch(train) [7][180/940] lr: 1.0000e-02 eta: 21:46:15 time: 0.8046 data_time: 0.3257 memory: 21548 grad_norm: 3.4684 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.7714 loss: 1.7714 2022/08/01 01:36:32 - mmengine - INFO - Epoch(train) [7][200/940] lr: 1.0000e-02 eta: 21:46:00 time: 0.8991 data_time: 0.4500 memory: 21548 grad_norm: 3.4022 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.7096 loss: 1.7096 2022/08/01 01:36:49 - mmengine - INFO - Epoch(train) [7][220/940] lr: 1.0000e-02 eta: 21:45:23 time: 0.8229 data_time: 0.3247 memory: 21548 grad_norm: 3.4184 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.7631 loss: 1.7631 2022/08/01 01:37:06 - mmengine - INFO - Epoch(train) [7][240/940] lr: 1.0000e-02 eta: 21:44:56 time: 0.8595 data_time: 0.3114 memory: 21548 grad_norm: 3.4207 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.6802 loss: 1.6802 2022/08/01 01:37:22 - mmengine - INFO - Epoch(train) [7][260/940] lr: 1.0000e-02 eta: 21:44:12 time: 0.8011 data_time: 0.2257 memory: 21548 grad_norm: 3.4488 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.6918 loss: 1.6918 2022/08/01 01:37:40 - mmengine - INFO - Epoch(train) [7][280/940] lr: 1.0000e-02 eta: 21:44:00 time: 0.9047 data_time: 0.2592 memory: 21548 grad_norm: 3.4268 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8727 loss: 1.8727 2022/08/01 01:37:57 - mmengine - INFO - Epoch(train) [7][300/940] lr: 1.0000e-02 eta: 21:43:27 time: 0.8381 data_time: 0.1355 memory: 21548 grad_norm: 3.3615 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7170 loss: 1.7170 2022/08/01 01:38:13 - mmengine - INFO - Epoch(train) [7][320/940] lr: 1.0000e-02 eta: 21:42:50 time: 0.8231 data_time: 0.0538 memory: 21548 grad_norm: 3.4156 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.8267 loss: 1.8267 2022/08/01 01:38:30 - mmengine - INFO - Epoch(train) [7][340/940] lr: 1.0000e-02 eta: 21:42:20 time: 0.8470 data_time: 0.1583 memory: 21548 grad_norm: 3.3886 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.8075 loss: 1.8075 2022/08/01 01:38:48 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 01:38:48 - mmengine - INFO - Epoch(train) [7][360/940] lr: 1.0000e-02 eta: 21:42:04 time: 0.8923 data_time: 0.3326 memory: 21548 grad_norm: 3.4373 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7277 loss: 1.7277 2022/08/01 01:39:04 - mmengine - INFO - Epoch(train) [7][380/940] lr: 1.0000e-02 eta: 21:41:20 time: 0.8003 data_time: 0.1533 memory: 21548 grad_norm: 3.4140 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.6744 loss: 1.6744 2022/08/01 01:39:22 - mmengine - INFO - Epoch(train) [7][400/940] lr: 1.0000e-02 eta: 21:41:06 time: 0.8995 data_time: 0.2043 memory: 21548 grad_norm: 3.4672 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7818 loss: 1.7818 2022/08/01 01:39:38 - mmengine - INFO - Epoch(train) [7][420/940] lr: 1.0000e-02 eta: 21:40:29 time: 0.8191 data_time: 0.2409 memory: 21548 grad_norm: 3.4604 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.7167 loss: 1.7167 2022/08/01 01:39:56 - mmengine - INFO - Epoch(train) [7][440/940] lr: 1.0000e-02 eta: 21:40:11 time: 0.8878 data_time: 0.3590 memory: 21548 grad_norm: 3.4591 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.7262 loss: 1.7262 2022/08/01 01:40:13 - mmengine - INFO - Epoch(train) [7][460/940] lr: 1.0000e-02 eta: 21:39:36 time: 0.8272 data_time: 0.2244 memory: 21548 grad_norm: 3.4407 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.7312 loss: 1.7312 2022/08/01 01:40:30 - mmengine - INFO - Epoch(train) [7][480/940] lr: 1.0000e-02 eta: 21:39:18 time: 0.8879 data_time: 0.3961 memory: 21548 grad_norm: 3.5095 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.7016 loss: 1.7016 2022/08/01 01:40:47 - mmengine - INFO - Epoch(train) [7][500/940] lr: 1.0000e-02 eta: 21:38:52 time: 0.8554 data_time: 0.3189 memory: 21548 grad_norm: 3.4796 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.7918 loss: 1.7918 2022/08/01 01:41:05 - mmengine - INFO - Epoch(train) [7][520/940] lr: 1.0000e-02 eta: 21:38:33 time: 0.8834 data_time: 0.2930 memory: 21548 grad_norm: 3.4910 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7438 loss: 1.7438 2022/08/01 01:41:22 - mmengine - INFO - Epoch(train) [7][540/940] lr: 1.0000e-02 eta: 21:38:09 time: 0.8663 data_time: 0.3328 memory: 21548 grad_norm: 3.4484 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6711 loss: 1.6711 2022/08/01 01:41:39 - mmengine - INFO - Epoch(train) [7][560/940] lr: 1.0000e-02 eta: 21:37:33 time: 0.8223 data_time: 0.1667 memory: 21548 grad_norm: 3.4298 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7002 loss: 1.7002 2022/08/01 01:41:57 - mmengine - INFO - Epoch(train) [7][580/940] lr: 1.0000e-02 eta: 21:37:19 time: 0.8982 data_time: 0.1403 memory: 21548 grad_norm: 3.4402 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.6962 loss: 1.6962 2022/08/01 01:42:13 - mmengine - INFO - Epoch(train) [7][600/940] lr: 1.0000e-02 eta: 21:36:32 time: 0.7825 data_time: 0.0752 memory: 21548 grad_norm: 3.5327 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8150 loss: 1.8150 2022/08/01 01:42:31 - mmengine - INFO - Epoch(train) [7][620/940] lr: 1.0000e-02 eta: 21:36:26 time: 0.9311 data_time: 0.0619 memory: 21548 grad_norm: 3.4171 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 1.7368 loss: 1.7368 2022/08/01 01:42:48 - mmengine - INFO - Epoch(train) [7][640/940] lr: 1.0000e-02 eta: 21:35:55 time: 0.8392 data_time: 0.0438 memory: 21548 grad_norm: 3.4931 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.8022 loss: 1.8022 2022/08/01 01:43:07 - mmengine - INFO - Epoch(train) [7][660/940] lr: 1.0000e-02 eta: 21:35:53 time: 0.9398 data_time: 0.0382 memory: 21548 grad_norm: 3.4326 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7692 loss: 1.7692 2022/08/01 01:43:23 - mmengine - INFO - Epoch(train) [7][680/940] lr: 1.0000e-02 eta: 21:35:08 time: 0.7883 data_time: 0.0389 memory: 21548 grad_norm: 3.4060 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.8015 loss: 1.8015 2022/08/01 01:43:41 - mmengine - INFO - Epoch(train) [7][700/940] lr: 1.0000e-02 eta: 21:34:58 time: 0.9155 data_time: 0.0993 memory: 21548 grad_norm: 3.4368 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7654 loss: 1.7654 2022/08/01 01:43:56 - mmengine - INFO - Epoch(train) [7][720/940] lr: 1.0000e-02 eta: 21:34:06 time: 0.7615 data_time: 0.0855 memory: 21548 grad_norm: 3.5117 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8173 loss: 1.8173 2022/08/01 01:44:15 - mmengine - INFO - Epoch(train) [7][740/940] lr: 1.0000e-02 eta: 21:34:12 time: 0.9724 data_time: 0.0933 memory: 21548 grad_norm: 3.4630 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.7057 loss: 1.7057 2022/08/01 01:44:31 - mmengine - INFO - Epoch(train) [7][760/940] lr: 1.0000e-02 eta: 21:33:29 time: 0.7933 data_time: 0.1669 memory: 21548 grad_norm: 3.4519 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.8122 loss: 1.8122 2022/08/01 01:44:50 - mmengine - INFO - Epoch(train) [7][780/940] lr: 1.0000e-02 eta: 21:33:19 time: 0.9158 data_time: 0.0489 memory: 21548 grad_norm: 3.5728 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7039 loss: 1.7039 2022/08/01 01:45:05 - mmengine - INFO - Epoch(train) [7][800/940] lr: 1.0000e-02 eta: 21:32:35 time: 0.7876 data_time: 0.0343 memory: 21548 grad_norm: 3.4528 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7420 loss: 1.7420 2022/08/01 01:45:25 - mmengine - INFO - Epoch(train) [7][820/940] lr: 1.0000e-02 eta: 21:32:37 time: 0.9606 data_time: 0.1822 memory: 21548 grad_norm: 3.4549 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.8096 loss: 1.8096 2022/08/01 01:45:40 - mmengine - INFO - Epoch(train) [7][840/940] lr: 1.0000e-02 eta: 21:31:44 time: 0.7560 data_time: 0.2251 memory: 21548 grad_norm: 3.3871 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.6143 loss: 1.6143 2022/08/01 01:45:58 - mmengine - INFO - Epoch(train) [7][860/940] lr: 1.0000e-02 eta: 21:31:39 time: 0.9296 data_time: 0.2746 memory: 21548 grad_norm: 3.4989 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6904 loss: 1.6904 2022/08/01 01:46:15 - mmengine - INFO - Epoch(train) [7][880/940] lr: 1.0000e-02 eta: 21:31:06 time: 0.8311 data_time: 0.0964 memory: 21548 grad_norm: 3.5133 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.7758 loss: 1.7758 2022/08/01 01:46:33 - mmengine - INFO - Epoch(train) [7][900/940] lr: 1.0000e-02 eta: 21:30:51 time: 0.8947 data_time: 0.0451 memory: 21548 grad_norm: 3.5182 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.7276 loss: 1.7276 2022/08/01 01:46:48 - mmengine - INFO - Epoch(train) [7][920/940] lr: 1.0000e-02 eta: 21:30:02 time: 0.7680 data_time: 0.0794 memory: 21548 grad_norm: 3.4823 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.6395 loss: 1.6395 2022/08/01 01:47:05 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 01:47:05 - mmengine - INFO - Epoch(train) [7][940/940] lr: 1.0000e-02 eta: 21:29:35 time: 0.8490 data_time: 0.0795 memory: 21548 grad_norm: 3.7232 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.7264 loss: 1.7264 2022/08/01 01:47:26 - mmengine - INFO - Epoch(val) [7][20/78] eta: 0:00:59 time: 1.0204 data_time: 0.8905 memory: 3271 2022/08/01 01:47:39 - mmengine - INFO - Epoch(val) [7][40/78] eta: 0:00:25 time: 0.6790 data_time: 0.5584 memory: 3271 2022/08/01 01:47:59 - mmengine - INFO - Epoch(val) [7][60/78] eta: 0:00:17 time: 0.9846 data_time: 0.8586 memory: 3271 2022/08/01 01:48:16 - mmengine - INFO - Epoch(val) [7][78/78] acc/top1: 0.6283 acc/top5: 0.8520 acc/mean1: 0.6282 2022/08/01 01:48:16 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_7.pth is removed 2022/08/01 01:48:18 - mmengine - INFO - The best checkpoint with 0.6283 acc/top1 at 8 epoch is saved to best_acc/top1_epoch_8.pth. 2022/08/01 01:48:40 - mmengine - INFO - Epoch(train) [8][20/940] lr: 1.0000e-02 eta: 21:30:25 time: 1.1406 data_time: 0.7217 memory: 21548 grad_norm: 3.3996 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 1.7033 loss: 1.7033 2022/08/01 01:48:56 - mmengine - INFO - Epoch(train) [8][40/940] lr: 1.0000e-02 eta: 21:29:43 time: 0.7974 data_time: 0.3983 memory: 21548 grad_norm: 3.4683 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7340 loss: 1.7340 2022/08/01 01:49:16 - mmengine - INFO - Epoch(train) [8][60/940] lr: 1.0000e-02 eta: 21:29:50 time: 0.9770 data_time: 0.5615 memory: 21548 grad_norm: 3.3792 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.6062 loss: 1.6062 2022/08/01 01:49:30 - mmengine - INFO - Epoch(train) [8][80/940] lr: 1.0000e-02 eta: 21:28:47 time: 0.7147 data_time: 0.2968 memory: 21548 grad_norm: 3.3458 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5471 loss: 1.5471 2022/08/01 01:49:48 - mmengine - INFO - Epoch(train) [8][100/940] lr: 1.0000e-02 eta: 21:28:37 time: 0.9151 data_time: 0.4605 memory: 21548 grad_norm: 3.3779 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5482 loss: 1.5482 2022/08/01 01:50:03 - mmengine - INFO - Epoch(train) [8][120/940] lr: 1.0000e-02 eta: 21:27:45 time: 0.7511 data_time: 0.3143 memory: 21548 grad_norm: 3.4961 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7538 loss: 1.7538 2022/08/01 01:50:22 - mmengine - INFO - Epoch(train) [8][140/940] lr: 1.0000e-02 eta: 21:27:36 time: 0.9217 data_time: 0.4903 memory: 21548 grad_norm: 3.4554 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.7506 loss: 1.7506 2022/08/01 01:50:38 - mmengine - INFO - Epoch(train) [8][160/940] lr: 1.0000e-02 eta: 21:27:03 time: 0.8247 data_time: 0.3851 memory: 21548 grad_norm: 3.4391 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.6434 loss: 1.6434 2022/08/01 01:50:57 - mmengine - INFO - Epoch(train) [8][180/940] lr: 1.0000e-02 eta: 21:27:00 time: 0.9422 data_time: 0.5074 memory: 21548 grad_norm: 3.4704 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7283 loss: 1.7283 2022/08/01 01:51:12 - mmengine - INFO - Epoch(train) [8][200/940] lr: 1.0000e-02 eta: 21:26:09 time: 0.7540 data_time: 0.3292 memory: 21548 grad_norm: 3.4357 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.7315 loss: 1.7315 2022/08/01 01:51:31 - mmengine - INFO - Epoch(train) [8][220/940] lr: 1.0000e-02 eta: 21:26:09 time: 0.9546 data_time: 0.5470 memory: 21548 grad_norm: 3.4002 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6511 loss: 1.6511 2022/08/01 01:51:48 - mmengine - INFO - Epoch(train) [8][240/940] lr: 1.0000e-02 eta: 21:25:34 time: 0.8177 data_time: 0.3136 memory: 21548 grad_norm: 3.4743 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.6207 loss: 1.6207 2022/08/01 01:52:05 - mmengine - INFO - Epoch(train) [8][260/940] lr: 1.0000e-02 eta: 21:25:13 time: 0.8710 data_time: 0.3145 memory: 21548 grad_norm: 3.4710 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.7839 loss: 1.7839 2022/08/01 01:52:22 - mmengine - INFO - Epoch(train) [8][280/940] lr: 1.0000e-02 eta: 21:24:49 time: 0.8593 data_time: 0.1073 memory: 21548 grad_norm: 3.3727 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.6305 loss: 1.6305 2022/08/01 01:52:44 - mmengine - INFO - Epoch(train) [8][300/940] lr: 1.0000e-02 eta: 21:25:22 time: 1.0872 data_time: 0.1875 memory: 21548 grad_norm: 3.4110 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5420 loss: 1.5420 2022/08/01 01:52:59 - mmengine - INFO - Epoch(train) [8][320/940] lr: 1.0000e-02 eta: 21:24:28 time: 0.7421 data_time: 0.2298 memory: 21548 grad_norm: 3.5153 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.7162 loss: 1.7162 2022/08/01 01:53:17 - mmengine - INFO - Epoch(train) [8][340/940] lr: 1.0000e-02 eta: 21:24:15 time: 0.9006 data_time: 0.3374 memory: 21548 grad_norm: 3.4838 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.6664 loss: 1.6664 2022/08/01 01:53:32 - mmengine - INFO - Epoch(train) [8][360/940] lr: 1.0000e-02 eta: 21:23:24 time: 0.7543 data_time: 0.2245 memory: 21548 grad_norm: 3.4929 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.9291 loss: 1.9291 2022/08/01 01:53:52 - mmengine - INFO - Epoch(train) [8][380/940] lr: 1.0000e-02 eta: 21:23:29 time: 0.9764 data_time: 0.5310 memory: 21548 grad_norm: 3.4079 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7039 loss: 1.7039 2022/08/01 01:54:08 - mmengine - INFO - Epoch(train) [8][400/940] lr: 1.0000e-02 eta: 21:22:50 time: 0.7992 data_time: 0.3492 memory: 21548 grad_norm: 3.4873 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.6720 loss: 1.6720 2022/08/01 01:54:26 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 01:54:26 - mmengine - INFO - Epoch(train) [8][420/940] lr: 1.0000e-02 eta: 21:22:35 time: 0.8957 data_time: 0.4785 memory: 21548 grad_norm: 3.5077 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.6978 loss: 1.6978 2022/08/01 01:54:42 - mmengine - INFO - Epoch(train) [8][440/940] lr: 1.0000e-02 eta: 21:22:01 time: 0.8152 data_time: 0.3318 memory: 21548 grad_norm: 3.4607 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.7291 loss: 1.7291 2022/08/01 01:55:00 - mmengine - INFO - Epoch(train) [8][460/940] lr: 1.0000e-02 eta: 21:21:45 time: 0.8909 data_time: 0.4154 memory: 21548 grad_norm: 3.4540 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.6195 loss: 1.6195 2022/08/01 01:55:14 - mmengine - INFO - Epoch(train) [8][480/940] lr: 1.0000e-02 eta: 21:20:52 time: 0.7421 data_time: 0.3085 memory: 21548 grad_norm: 3.4937 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7139 loss: 1.7139 2022/08/01 01:55:33 - mmengine - INFO - Epoch(train) [8][500/940] lr: 1.0000e-02 eta: 21:20:50 time: 0.9486 data_time: 0.5128 memory: 21548 grad_norm: 3.4102 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.6047 loss: 1.6047 2022/08/01 01:55:50 - mmengine - INFO - Epoch(train) [8][520/940] lr: 1.0000e-02 eta: 21:20:18 time: 0.8252 data_time: 0.2645 memory: 21548 grad_norm: 3.5078 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.7555 loss: 1.7555 2022/08/01 01:56:06 - mmengine - INFO - Epoch(train) [8][540/940] lr: 1.0000e-02 eta: 21:19:44 time: 0.8186 data_time: 0.1951 memory: 21548 grad_norm: 3.4627 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6957 loss: 1.6957 2022/08/01 01:56:25 - mmengine - INFO - Epoch(train) [8][560/940] lr: 1.0000e-02 eta: 21:19:34 time: 0.9136 data_time: 0.1363 memory: 21548 grad_norm: 3.4614 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6118 loss: 1.6118 2022/08/01 01:56:41 - mmengine - INFO - Epoch(train) [8][580/940] lr: 1.0000e-02 eta: 21:19:03 time: 0.8311 data_time: 0.2144 memory: 21548 grad_norm: 3.5041 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.7214 loss: 1.7214 2022/08/01 01:56:58 - mmengine - INFO - Epoch(train) [8][600/940] lr: 1.0000e-02 eta: 21:18:37 time: 0.8485 data_time: 0.2012 memory: 21548 grad_norm: 3.4930 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.7201 loss: 1.7201 2022/08/01 01:57:17 - mmengine - INFO - Epoch(train) [8][620/940] lr: 1.0000e-02 eta: 21:18:31 time: 0.9293 data_time: 0.3175 memory: 21548 grad_norm: 3.4743 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.7293 loss: 1.7293 2022/08/01 01:57:33 - mmengine - INFO - Epoch(train) [8][640/940] lr: 1.0000e-02 eta: 21:17:57 time: 0.8196 data_time: 0.1967 memory: 21548 grad_norm: 3.5190 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.6302 loss: 1.6302 2022/08/01 01:57:49 - mmengine - INFO - Epoch(train) [8][660/940] lr: 1.0000e-02 eta: 21:17:20 time: 0.8014 data_time: 0.1934 memory: 21548 grad_norm: 3.5099 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7028 loss: 1.7028 2022/08/01 01:58:06 - mmengine - INFO - Epoch(train) [8][680/940] lr: 1.0000e-02 eta: 21:16:50 time: 0.8297 data_time: 0.2541 memory: 21548 grad_norm: 3.4677 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.6309 loss: 1.6309 2022/08/01 01:58:24 - mmengine - INFO - Epoch(train) [8][700/940] lr: 1.0000e-02 eta: 21:16:36 time: 0.9023 data_time: 0.3850 memory: 21548 grad_norm: 3.4646 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.7299 loss: 1.7299 2022/08/01 01:58:40 - mmengine - INFO - Epoch(train) [8][720/940] lr: 1.0000e-02 eta: 21:16:03 time: 0.8168 data_time: 0.3148 memory: 21548 grad_norm: 3.5302 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.6399 loss: 1.6399 2022/08/01 01:58:59 - mmengine - INFO - Epoch(train) [8][740/940] lr: 1.0000e-02 eta: 21:15:55 time: 0.9228 data_time: 0.3567 memory: 21548 grad_norm: 3.5841 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6664 loss: 1.6664 2022/08/01 01:59:14 - mmengine - INFO - Epoch(train) [8][760/940] lr: 1.0000e-02 eta: 21:15:12 time: 0.7753 data_time: 0.1106 memory: 21548 grad_norm: 3.5872 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6797 loss: 1.6797 2022/08/01 01:59:33 - mmengine - INFO - Epoch(train) [8][780/940] lr: 1.0000e-02 eta: 21:15:09 time: 0.9465 data_time: 0.3670 memory: 21548 grad_norm: 3.5739 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.6171 loss: 1.6171 2022/08/01 01:59:48 - mmengine - INFO - Epoch(train) [8][800/940] lr: 1.0000e-02 eta: 21:14:23 time: 0.7617 data_time: 0.2621 memory: 21548 grad_norm: 3.5186 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6991 loss: 1.6991 2022/08/01 02:00:07 - mmengine - INFO - Epoch(train) [8][820/940] lr: 1.0000e-02 eta: 21:14:15 time: 0.9235 data_time: 0.4480 memory: 21548 grad_norm: 3.5112 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8963 loss: 1.8963 2022/08/01 02:00:22 - mmengine - INFO - Epoch(train) [8][840/940] lr: 1.0000e-02 eta: 21:13:29 time: 0.7628 data_time: 0.1816 memory: 21548 grad_norm: 3.5542 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7725 loss: 1.7725 2022/08/01 02:00:41 - mmengine - INFO - Epoch(train) [8][860/940] lr: 1.0000e-02 eta: 21:13:21 time: 0.9237 data_time: 0.2671 memory: 21548 grad_norm: 3.5770 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.7382 loss: 1.7382 2022/08/01 02:00:57 - mmengine - INFO - Epoch(train) [8][880/940] lr: 1.0000e-02 eta: 21:12:52 time: 0.8353 data_time: 0.1500 memory: 21548 grad_norm: 3.5134 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.7002 loss: 1.7002 2022/08/01 02:01:14 - mmengine - INFO - Epoch(train) [8][900/940] lr: 1.0000e-02 eta: 21:12:27 time: 0.8481 data_time: 0.0709 memory: 21548 grad_norm: 3.4947 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6584 loss: 1.6584 2022/08/01 02:01:32 - mmengine - INFO - Epoch(train) [8][920/940] lr: 1.0000e-02 eta: 21:12:08 time: 0.8766 data_time: 0.1229 memory: 21548 grad_norm: 3.4457 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.6736 loss: 1.6736 2022/08/01 02:01:46 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 02:01:46 - mmengine - INFO - Epoch(train) [8][940/940] lr: 1.0000e-02 eta: 21:11:08 time: 0.6983 data_time: 0.0618 memory: 21548 grad_norm: 3.6196 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.7487 loss: 1.7487 2022/08/01 02:02:07 - mmengine - INFO - Epoch(val) [8][20/78] eta: 0:01:00 time: 1.0367 data_time: 0.9136 memory: 3271 2022/08/01 02:02:20 - mmengine - INFO - Epoch(val) [8][40/78] eta: 0:00:26 time: 0.6958 data_time: 0.5673 memory: 3271 2022/08/01 02:02:39 - mmengine - INFO - Epoch(val) [8][60/78] eta: 0:00:16 time: 0.9395 data_time: 0.8144 memory: 3271 2022/08/01 02:02:55 - mmengine - INFO - Epoch(val) [8][78/78] acc/top1: 0.6348 acc/top5: 0.8558 acc/mean1: 0.6346 2022/08/01 02:02:55 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_8.pth is removed 2022/08/01 02:02:56 - mmengine - INFO - The best checkpoint with 0.6348 acc/top1 at 9 epoch is saved to best_acc/top1_epoch_9.pth. 2022/08/01 02:03:18 - mmengine - INFO - Epoch(train) [9][20/940] lr: 1.0000e-02 eta: 21:11:39 time: 1.0946 data_time: 0.7012 memory: 21548 grad_norm: 3.4855 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.6029 loss: 1.6029 2022/08/01 02:03:33 - mmengine - INFO - Epoch(train) [9][40/940] lr: 1.0000e-02 eta: 21:10:50 time: 0.7474 data_time: 0.3460 memory: 21548 grad_norm: 3.4426 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5514 loss: 1.5514 2022/08/01 02:03:52 - mmengine - INFO - Epoch(train) [9][60/940] lr: 1.0000e-02 eta: 21:10:44 time: 0.9323 data_time: 0.5133 memory: 21548 grad_norm: 3.4256 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5943 loss: 1.5943 2022/08/01 02:04:07 - mmengine - INFO - Epoch(train) [9][80/940] lr: 1.0000e-02 eta: 21:10:01 time: 0.7695 data_time: 0.3762 memory: 21548 grad_norm: 3.4140 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.5759 loss: 1.5759 2022/08/01 02:04:25 - mmengine - INFO - Epoch(train) [9][100/940] lr: 1.0000e-02 eta: 21:09:51 time: 0.9154 data_time: 0.4710 memory: 21548 grad_norm: 3.4455 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.6874 loss: 1.6874 2022/08/01 02:04:41 - mmengine - INFO - Epoch(train) [9][120/940] lr: 1.0000e-02 eta: 21:09:16 time: 0.8055 data_time: 0.2242 memory: 21548 grad_norm: 3.4371 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.6120 loss: 1.6120 2022/08/01 02:05:01 - mmengine - INFO - Epoch(train) [9][140/940] lr: 1.0000e-02 eta: 21:09:14 time: 0.9541 data_time: 0.2738 memory: 21548 grad_norm: 3.5257 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.6306 loss: 1.6306 2022/08/01 02:05:15 - mmengine - INFO - Epoch(train) [9][160/940] lr: 1.0000e-02 eta: 21:08:22 time: 0.7280 data_time: 0.1450 memory: 21548 grad_norm: 3.3810 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6465 loss: 1.6465 2022/08/01 02:05:34 - mmengine - INFO - Epoch(train) [9][180/940] lr: 1.0000e-02 eta: 21:08:19 time: 0.9470 data_time: 0.2417 memory: 21548 grad_norm: 3.4682 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7353 loss: 1.7353 2022/08/01 02:05:50 - mmengine - INFO - Epoch(train) [9][200/940] lr: 1.0000e-02 eta: 21:07:39 time: 0.7821 data_time: 0.1748 memory: 21548 grad_norm: 3.5533 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.7439 loss: 1.7439 2022/08/01 02:06:10 - mmengine - INFO - Epoch(train) [9][220/940] lr: 1.0000e-02 eta: 21:07:48 time: 1.0015 data_time: 0.1571 memory: 21548 grad_norm: 3.5478 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.7167 loss: 1.7167 2022/08/01 02:06:25 - mmengine - INFO - Epoch(train) [9][240/940] lr: 1.0000e-02 eta: 21:07:03 time: 0.7560 data_time: 0.0354 memory: 21548 grad_norm: 3.5009 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.6871 loss: 1.6871 2022/08/01 02:06:44 - mmengine - INFO - Epoch(train) [9][260/940] lr: 1.0000e-02 eta: 21:06:56 time: 0.9324 data_time: 0.0491 memory: 21548 grad_norm: 3.5902 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.7413 loss: 1.7413 2022/08/01 02:06:59 - mmengine - INFO - Epoch(train) [9][280/940] lr: 1.0000e-02 eta: 21:06:16 time: 0.7800 data_time: 0.0565 memory: 21548 grad_norm: 3.5549 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.6327 loss: 1.6327 2022/08/01 02:07:19 - mmengine - INFO - Epoch(train) [9][300/940] lr: 1.0000e-02 eta: 21:06:29 time: 1.0177 data_time: 0.0471 memory: 21548 grad_norm: 3.4468 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6258 loss: 1.6258 2022/08/01 02:07:34 - mmengine - INFO - Epoch(train) [9][320/940] lr: 1.0000e-02 eta: 21:05:39 time: 0.7377 data_time: 0.0797 memory: 21548 grad_norm: 3.4661 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6091 loss: 1.6091 2022/08/01 02:07:52 - mmengine - INFO - Epoch(train) [9][340/940] lr: 1.0000e-02 eta: 21:05:28 time: 0.9098 data_time: 0.1064 memory: 21548 grad_norm: 3.4753 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5654 loss: 1.5654 2022/08/01 02:08:07 - mmengine - INFO - Epoch(train) [9][360/940] lr: 1.0000e-02 eta: 21:04:41 time: 0.7474 data_time: 0.0932 memory: 21548 grad_norm: 3.5404 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6652 loss: 1.6652 2022/08/01 02:08:26 - mmengine - INFO - Epoch(train) [9][380/940] lr: 1.0000e-02 eta: 21:04:30 time: 0.9127 data_time: 0.4318 memory: 21548 grad_norm: 3.5338 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5995 loss: 1.5995 2022/08/01 02:08:45 - mmengine - INFO - Epoch(train) [9][400/940] lr: 1.0000e-02 eta: 21:04:37 time: 0.9914 data_time: 0.5331 memory: 21548 grad_norm: 3.5047 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.5457 loss: 1.5457 2022/08/01 02:09:01 - mmengine - INFO - Epoch(train) [9][420/940] lr: 1.0000e-02 eta: 21:03:53 time: 0.7634 data_time: 0.3206 memory: 21548 grad_norm: 3.5419 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.6796 loss: 1.6796 2022/08/01 02:09:20 - mmengine - INFO - Epoch(train) [9][440/940] lr: 1.0000e-02 eta: 21:03:49 time: 0.9426 data_time: 0.4995 memory: 21548 grad_norm: 3.5200 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6514 loss: 1.6514 2022/08/01 02:09:35 - mmengine - INFO - Epoch(train) [9][460/940] lr: 1.0000e-02 eta: 21:03:05 time: 0.7584 data_time: 0.3031 memory: 21548 grad_norm: 3.5295 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6064 loss: 1.6064 2022/08/01 02:09:54 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 02:09:54 - mmengine - INFO - Epoch(train) [9][480/940] lr: 1.0000e-02 eta: 21:03:07 time: 0.9702 data_time: 0.3226 memory: 21548 grad_norm: 3.5442 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.7243 loss: 1.7243 2022/08/01 02:10:10 - mmengine - INFO - Epoch(train) [9][500/940] lr: 1.0000e-02 eta: 21:02:25 time: 0.7687 data_time: 0.3145 memory: 21548 grad_norm: 3.5635 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.6175 loss: 1.6175 2022/08/01 02:10:29 - mmengine - INFO - Epoch(train) [9][520/940] lr: 1.0000e-02 eta: 21:02:26 time: 0.9713 data_time: 0.5234 memory: 21548 grad_norm: 3.5318 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.6015 loss: 1.6015 2022/08/01 02:10:45 - mmengine - INFO - Epoch(train) [9][540/940] lr: 1.0000e-02 eta: 21:01:48 time: 0.7815 data_time: 0.3587 memory: 21548 grad_norm: 3.5437 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.7227 loss: 1.7227 2022/08/01 02:11:02 - mmengine - INFO - Epoch(train) [9][560/940] lr: 1.0000e-02 eta: 21:01:31 time: 0.8879 data_time: 0.4398 memory: 21548 grad_norm: 3.5910 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.6179 loss: 1.6179 2022/08/01 02:11:17 - mmengine - INFO - Epoch(train) [9][580/940] lr: 1.0000e-02 eta: 21:00:41 time: 0.7258 data_time: 0.3115 memory: 21548 grad_norm: 3.5398 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.6793 loss: 1.6793 2022/08/01 02:11:36 - mmengine - INFO - Epoch(train) [9][600/940] lr: 1.0000e-02 eta: 21:00:41 time: 0.9633 data_time: 0.5139 memory: 21548 grad_norm: 3.5342 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8007 loss: 1.8007 2022/08/01 02:11:52 - mmengine - INFO - Epoch(train) [9][620/940] lr: 1.0000e-02 eta: 21:00:03 time: 0.7858 data_time: 0.3498 memory: 21548 grad_norm: 3.4741 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6119 loss: 1.6119 2022/08/01 02:12:10 - mmengine - INFO - Epoch(train) [9][640/940] lr: 1.0000e-02 eta: 20:59:48 time: 0.8909 data_time: 0.4495 memory: 21548 grad_norm: 3.5068 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.6650 loss: 1.6650 2022/08/01 02:12:25 - mmengine - INFO - Epoch(train) [9][660/940] lr: 1.0000e-02 eta: 20:59:11 time: 0.7898 data_time: 0.2435 memory: 21548 grad_norm: 3.5573 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.7531 loss: 1.7531 2022/08/01 02:12:44 - mmengine - INFO - Epoch(train) [9][680/940] lr: 1.0000e-02 eta: 20:59:08 time: 0.9502 data_time: 0.1125 memory: 21548 grad_norm: 3.4655 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.6628 loss: 1.6628 2022/08/01 02:13:01 - mmengine - INFO - Epoch(train) [9][700/940] lr: 1.0000e-02 eta: 20:58:42 time: 0.8400 data_time: 0.0395 memory: 21548 grad_norm: 3.5142 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7236 loss: 1.7236 2022/08/01 02:13:20 - mmengine - INFO - Epoch(train) [9][720/940] lr: 1.0000e-02 eta: 20:58:35 time: 0.9320 data_time: 0.0410 memory: 21548 grad_norm: 3.5128 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.6779 loss: 1.6779 2022/08/01 02:13:35 - mmengine - INFO - Epoch(train) [9][740/940] lr: 1.0000e-02 eta: 20:57:55 time: 0.7737 data_time: 0.0504 memory: 21548 grad_norm: 3.5078 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7104 loss: 1.7104 2022/08/01 02:13:55 - mmengine - INFO - Epoch(train) [9][760/940] lr: 1.0000e-02 eta: 20:57:56 time: 0.9665 data_time: 0.0401 memory: 21548 grad_norm: 3.5068 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6625 loss: 1.6625 2022/08/01 02:14:10 - mmengine - INFO - Epoch(train) [9][780/940] lr: 1.0000e-02 eta: 20:57:12 time: 0.7531 data_time: 0.0618 memory: 21548 grad_norm: 3.5337 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.6138 loss: 1.6138 2022/08/01 02:14:28 - mmengine - INFO - Epoch(train) [9][800/940] lr: 1.0000e-02 eta: 20:56:57 time: 0.8954 data_time: 0.0528 memory: 21548 grad_norm: 3.4770 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.7128 loss: 1.7128 2022/08/01 02:14:43 - mmengine - INFO - Epoch(train) [9][820/940] lr: 1.0000e-02 eta: 20:56:20 time: 0.7865 data_time: 0.0385 memory: 21548 grad_norm: 3.5483 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6880 loss: 1.6880 2022/08/01 02:15:02 - mmengine - INFO - Epoch(train) [9][840/940] lr: 1.0000e-02 eta: 20:56:15 time: 0.9414 data_time: 0.0456 memory: 21548 grad_norm: 3.6220 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.7312 loss: 1.7312 2022/08/01 02:15:18 - mmengine - INFO - Epoch(train) [9][860/940] lr: 1.0000e-02 eta: 20:55:43 time: 0.8100 data_time: 0.0401 memory: 21548 grad_norm: 3.5608 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7974 loss: 1.7974 2022/08/01 02:15:36 - mmengine - INFO - Epoch(train) [9][880/940] lr: 1.0000e-02 eta: 20:55:27 time: 0.8870 data_time: 0.0541 memory: 21548 grad_norm: 3.5393 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6634 loss: 1.6634 2022/08/01 02:15:52 - mmengine - INFO - Epoch(train) [9][900/940] lr: 1.0000e-02 eta: 20:54:49 time: 0.7769 data_time: 0.0369 memory: 21548 grad_norm: 3.5838 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.6455 loss: 1.6455 2022/08/01 02:16:10 - mmengine - INFO - Epoch(train) [9][920/940] lr: 1.0000e-02 eta: 20:54:41 time: 0.9275 data_time: 0.0441 memory: 21548 grad_norm: 3.5661 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.7270 loss: 1.7270 2022/08/01 02:16:23 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 02:16:23 - mmengine - INFO - Epoch(train) [9][940/940] lr: 1.0000e-02 eta: 20:53:30 time: 0.6188 data_time: 0.0531 memory: 21548 grad_norm: 3.6857 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.5897 loss: 1.5897 2022/08/01 02:16:23 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/08/01 02:16:46 - mmengine - INFO - Epoch(val) [9][20/78] eta: 0:01:03 time: 1.0886 data_time: 0.9655 memory: 3271 2022/08/01 02:17:00 - mmengine - INFO - Epoch(val) [9][40/78] eta: 0:00:27 time: 0.7236 data_time: 0.5983 memory: 3271 2022/08/01 02:17:19 - mmengine - INFO - Epoch(val) [9][60/78] eta: 0:00:16 time: 0.9346 data_time: 0.8117 memory: 3271 2022/08/01 02:17:32 - mmengine - INFO - Epoch(val) [9][78/78] acc/top1: 0.6345 acc/top5: 0.8561 acc/mean1: 0.6343 2022/08/01 02:17:55 - mmengine - INFO - Epoch(train) [10][20/940] lr: 1.0000e-02 eta: 20:54:01 time: 1.1193 data_time: 0.5411 memory: 21548 grad_norm: 3.4512 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.4748 loss: 1.4748 2022/08/01 02:18:10 - mmengine - INFO - Epoch(train) [10][40/940] lr: 1.0000e-02 eta: 20:53:23 time: 0.7763 data_time: 0.1855 memory: 21548 grad_norm: 3.5052 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.6781 loss: 1.6781 2022/08/01 02:18:31 - mmengine - INFO - Epoch(train) [10][60/940] lr: 1.0000e-02 eta: 20:53:31 time: 1.0106 data_time: 0.2030 memory: 21548 grad_norm: 3.4972 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4450 loss: 1.4450 2022/08/01 02:18:45 - mmengine - INFO - Epoch(train) [10][80/940] lr: 1.0000e-02 eta: 20:52:43 time: 0.7256 data_time: 0.1255 memory: 21548 grad_norm: 3.4929 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6476 loss: 1.6476 2022/08/01 02:19:04 - mmengine - INFO - Epoch(train) [10][100/940] lr: 1.0000e-02 eta: 20:52:42 time: 0.9637 data_time: 0.1478 memory: 21548 grad_norm: 3.4292 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.6091 loss: 1.6091 2022/08/01 02:19:21 - mmengine - INFO - Epoch(train) [10][120/940] lr: 1.0000e-02 eta: 20:52:12 time: 0.8164 data_time: 0.0298 memory: 21548 grad_norm: 3.4572 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5815 loss: 1.5815 2022/08/01 02:19:39 - mmengine - INFO - Epoch(train) [10][140/940] lr: 1.0000e-02 eta: 20:51:58 time: 0.8976 data_time: 0.0397 memory: 21548 grad_norm: 3.5122 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.6448 loss: 1.6448 2022/08/01 02:19:54 - mmengine - INFO - Epoch(train) [10][160/940] lr: 1.0000e-02 eta: 20:51:18 time: 0.7668 data_time: 0.0338 memory: 21548 grad_norm: 3.5231 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.6531 loss: 1.6531 2022/08/01 02:20:13 - mmengine - INFO - Epoch(train) [10][180/940] lr: 1.0000e-02 eta: 20:51:15 time: 0.9532 data_time: 0.0402 memory: 21548 grad_norm: 3.5074 top1_acc: 0.3438 top5_acc: 0.7500 loss_cls: 1.6838 loss: 1.6838 2022/08/01 02:20:29 - mmengine - INFO - Epoch(train) [10][200/940] lr: 1.0000e-02 eta: 20:50:37 time: 0.7737 data_time: 0.0293 memory: 21548 grad_norm: 3.4357 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.6869 loss: 1.6869 2022/08/01 02:20:48 - mmengine - INFO - Epoch(train) [10][220/940] lr: 1.0000e-02 eta: 20:50:40 time: 0.9859 data_time: 0.0413 memory: 21548 grad_norm: 3.5273 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.7078 loss: 1.7078 2022/08/01 02:21:04 - mmengine - INFO - Epoch(train) [10][240/940] lr: 1.0000e-02 eta: 20:50:03 time: 0.7811 data_time: 0.0328 memory: 21548 grad_norm: 3.4592 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.6577 loss: 1.6577 2022/08/01 02:21:23 - mmengine - INFO - Epoch(train) [10][260/940] lr: 1.0000e-02 eta: 20:50:00 time: 0.9543 data_time: 0.0507 memory: 21548 grad_norm: 3.5021 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5906 loss: 1.5906 2022/08/01 02:21:37 - mmengine - INFO - Epoch(train) [10][280/940] lr: 1.0000e-02 eta: 20:49:12 time: 0.7233 data_time: 0.0346 memory: 21548 grad_norm: 3.5240 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.5211 loss: 1.5211 2022/08/01 02:21:57 - mmengine - INFO - Epoch(train) [10][300/940] lr: 1.0000e-02 eta: 20:49:15 time: 0.9844 data_time: 0.0438 memory: 21548 grad_norm: 3.6084 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.6653 loss: 1.6653 2022/08/01 02:22:13 - mmengine - INFO - Epoch(train) [10][320/940] lr: 1.0000e-02 eta: 20:48:41 time: 0.7952 data_time: 0.0375 memory: 21548 grad_norm: 3.4916 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.6261 loss: 1.6261 2022/08/01 02:22:32 - mmengine - INFO - Epoch(train) [10][340/940] lr: 1.0000e-02 eta: 20:48:36 time: 0.9433 data_time: 0.0400 memory: 21548 grad_norm: 3.5078 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5882 loss: 1.5882 2022/08/01 02:22:47 - mmengine - INFO - Epoch(train) [10][360/940] lr: 1.0000e-02 eta: 20:47:50 time: 0.7317 data_time: 0.0444 memory: 21548 grad_norm: 3.5604 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.5323 loss: 1.5323 2022/08/01 02:23:05 - mmengine - INFO - Epoch(train) [10][380/940] lr: 1.0000e-02 eta: 20:47:36 time: 0.8984 data_time: 0.0411 memory: 21548 grad_norm: 3.5413 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.5538 loss: 1.5538 2022/08/01 02:23:22 - mmengine - INFO - Epoch(train) [10][400/940] lr: 1.0000e-02 eta: 20:47:20 time: 0.8847 data_time: 0.0399 memory: 21548 grad_norm: 3.5293 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6195 loss: 1.6195 2022/08/01 02:23:41 - mmengine - INFO - Epoch(train) [10][420/940] lr: 1.0000e-02 eta: 20:47:12 time: 0.9332 data_time: 0.0408 memory: 21548 grad_norm: 3.5782 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6134 loss: 1.6134 2022/08/01 02:23:56 - mmengine - INFO - Epoch(train) [10][440/940] lr: 1.0000e-02 eta: 20:46:35 time: 0.7761 data_time: 0.0367 memory: 21548 grad_norm: 3.5432 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.5513 loss: 1.5513 2022/08/01 02:24:15 - mmengine - INFO - Epoch(train) [10][460/940] lr: 1.0000e-02 eta: 20:46:31 time: 0.9504 data_time: 0.0425 memory: 21548 grad_norm: 3.6184 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5010 loss: 1.5010 2022/08/01 02:24:30 - mmengine - INFO - Epoch(train) [10][480/940] lr: 1.0000e-02 eta: 20:45:49 time: 0.7489 data_time: 0.0478 memory: 21548 grad_norm: 3.5191 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5345 loss: 1.5345 2022/08/01 02:24:49 - mmengine - INFO - Epoch(train) [10][500/940] lr: 1.0000e-02 eta: 20:45:39 time: 0.9188 data_time: 0.0418 memory: 21548 grad_norm: 3.5457 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5533 loss: 1.5533 2022/08/01 02:25:05 - mmengine - INFO - Epoch(train) [10][520/940] lr: 1.0000e-02 eta: 20:45:09 time: 0.8142 data_time: 0.0377 memory: 21548 grad_norm: 3.5331 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6315 loss: 1.6315 2022/08/01 02:25:24 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 02:25:24 - mmengine - INFO - Epoch(train) [10][540/940] lr: 1.0000e-02 eta: 20:45:02 time: 0.9365 data_time: 0.0445 memory: 21548 grad_norm: 3.5912 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.7579 loss: 1.7579 2022/08/01 02:25:39 - mmengine - INFO - Epoch(train) [10][560/940] lr: 1.0000e-02 eta: 20:44:26 time: 0.7786 data_time: 0.0431 memory: 21548 grad_norm: 3.5592 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.6590 loss: 1.6590 2022/08/01 02:25:57 - mmengine - INFO - Epoch(train) [10][580/940] lr: 1.0000e-02 eta: 20:44:14 time: 0.9067 data_time: 0.0419 memory: 21548 grad_norm: 3.5446 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.7822 loss: 1.7822 2022/08/01 02:26:12 - mmengine - INFO - Epoch(train) [10][600/940] lr: 1.0000e-02 eta: 20:43:32 time: 0.7500 data_time: 0.0393 memory: 21548 grad_norm: 3.5726 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.6196 loss: 1.6196 2022/08/01 02:26:32 - mmengine - INFO - Epoch(train) [10][620/940] lr: 1.0000e-02 eta: 20:43:32 time: 0.9713 data_time: 0.0381 memory: 21548 grad_norm: 3.6166 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.6001 loss: 1.6001 2022/08/01 02:26:47 - mmengine - INFO - Epoch(train) [10][640/940] lr: 1.0000e-02 eta: 20:42:48 time: 0.7402 data_time: 0.0492 memory: 21548 grad_norm: 3.5873 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8268 loss: 1.8268 2022/08/01 02:27:04 - mmengine - INFO - Epoch(train) [10][660/940] lr: 1.0000e-02 eta: 20:42:31 time: 0.8828 data_time: 0.0406 memory: 21548 grad_norm: 3.5753 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.6419 loss: 1.6419 2022/08/01 02:27:21 - mmengine - INFO - Epoch(train) [10][680/940] lr: 1.0000e-02 eta: 20:41:59 time: 0.7992 data_time: 0.0396 memory: 21548 grad_norm: 3.5398 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.6623 loss: 1.6623 2022/08/01 02:27:40 - mmengine - INFO - Epoch(train) [10][700/940] lr: 1.0000e-02 eta: 20:41:59 time: 0.9712 data_time: 0.0473 memory: 21548 grad_norm: 3.5890 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.6450 loss: 1.6450 2022/08/01 02:27:56 - mmengine - INFO - Epoch(train) [10][720/940] lr: 1.0000e-02 eta: 20:41:28 time: 0.8061 data_time: 0.0330 memory: 21548 grad_norm: 3.5468 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6513 loss: 1.6513 2022/08/01 02:28:14 - mmengine - INFO - Epoch(train) [10][740/940] lr: 1.0000e-02 eta: 20:41:19 time: 0.9224 data_time: 0.0400 memory: 21548 grad_norm: 3.5990 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.5843 loss: 1.5843 2022/08/01 02:28:31 - mmengine - INFO - Epoch(train) [10][760/940] lr: 1.0000e-02 eta: 20:40:51 time: 0.8236 data_time: 0.0420 memory: 21548 grad_norm: 3.5305 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.6857 loss: 1.6857 2022/08/01 02:28:49 - mmengine - INFO - Epoch(train) [10][780/940] lr: 1.0000e-02 eta: 20:40:41 time: 0.9182 data_time: 0.0374 memory: 21548 grad_norm: 3.5637 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.7158 loss: 1.7158 2022/08/01 02:29:05 - mmengine - INFO - Epoch(train) [10][800/940] lr: 1.0000e-02 eta: 20:40:09 time: 0.8020 data_time: 0.0463 memory: 21548 grad_norm: 3.6341 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 1.6879 loss: 1.6879 2022/08/01 02:29:25 - mmengine - INFO - Epoch(train) [10][820/940] lr: 1.0000e-02 eta: 20:40:08 time: 0.9650 data_time: 0.0358 memory: 21548 grad_norm: 3.5767 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.6409 loss: 1.6409 2022/08/01 02:29:40 - mmengine - INFO - Epoch(train) [10][840/940] lr: 1.0000e-02 eta: 20:39:33 time: 0.7827 data_time: 0.0341 memory: 21548 grad_norm: 3.5648 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.6360 loss: 1.6360 2022/08/01 02:29:57 - mmengine - INFO - Epoch(train) [10][860/940] lr: 1.0000e-02 eta: 20:39:11 time: 0.8545 data_time: 0.0350 memory: 21548 grad_norm: 3.5900 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6511 loss: 1.6511 2022/08/01 02:30:13 - mmengine - INFO - Epoch(train) [10][880/940] lr: 1.0000e-02 eta: 20:38:36 time: 0.7856 data_time: 0.0425 memory: 21548 grad_norm: 3.6777 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6783 loss: 1.6783 2022/08/01 02:30:32 - mmengine - INFO - Epoch(train) [10][900/940] lr: 1.0000e-02 eta: 20:38:36 time: 0.9720 data_time: 0.0367 memory: 21548 grad_norm: 3.5648 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.5889 loss: 1.5889 2022/08/01 02:30:48 - mmengine - INFO - Epoch(train) [10][920/940] lr: 1.0000e-02 eta: 20:38:00 time: 0.7791 data_time: 0.0383 memory: 21548 grad_norm: 3.6232 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.5460 loss: 1.5460 2022/08/01 02:31:02 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 02:31:02 - mmengine - INFO - Epoch(train) [10][940/940] lr: 1.0000e-02 eta: 20:37:14 time: 0.7192 data_time: 0.0272 memory: 21548 grad_norm: 3.8233 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.6658 loss: 1.6658 2022/08/01 02:31:23 - mmengine - INFO - Epoch(val) [10][20/78] eta: 0:00:58 time: 1.0002 data_time: 0.8673 memory: 3271 2022/08/01 02:31:37 - mmengine - INFO - Epoch(val) [10][40/78] eta: 0:00:26 time: 0.7062 data_time: 0.5819 memory: 3271 2022/08/01 02:31:56 - mmengine - INFO - Epoch(val) [10][60/78] eta: 0:00:17 time: 0.9595 data_time: 0.8216 memory: 3271 2022/08/01 02:32:12 - mmengine - INFO - Epoch(val) [10][78/78] acc/top1: 0.6500 acc/top5: 0.8658 acc/mean1: 0.6500 2022/08/01 02:32:12 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_9.pth is removed 2022/08/01 02:32:13 - mmengine - INFO - The best checkpoint with 0.6500 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2022/08/01 02:32:34 - mmengine - INFO - Epoch(train) [11][20/940] lr: 1.0000e-02 eta: 20:37:30 time: 1.0637 data_time: 0.6094 memory: 21548 grad_norm: 3.5052 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5728 loss: 1.5728 2022/08/01 02:32:50 - mmengine - INFO - Epoch(train) [11][40/940] lr: 1.0000e-02 eta: 20:36:54 time: 0.7733 data_time: 0.1543 memory: 21548 grad_norm: 3.6193 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.6564 loss: 1.6564 2022/08/01 02:33:10 - mmengine - INFO - Epoch(train) [11][60/940] lr: 1.0000e-02 eta: 20:37:02 time: 1.0214 data_time: 0.0954 memory: 21548 grad_norm: 3.5045 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4651 loss: 1.4651 2022/08/01 02:33:26 - mmengine - INFO - Epoch(train) [11][80/940] lr: 1.0000e-02 eta: 20:36:35 time: 0.8240 data_time: 0.0326 memory: 21548 grad_norm: 3.5224 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6360 loss: 1.6360 2022/08/01 02:33:44 - mmengine - INFO - Epoch(train) [11][100/940] lr: 1.0000e-02 eta: 20:36:15 time: 0.8673 data_time: 0.0419 memory: 21548 grad_norm: 3.5963 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6040 loss: 1.6040 2022/08/01 02:34:01 - mmengine - INFO - Epoch(train) [11][120/940] lr: 1.0000e-02 eta: 20:35:52 time: 0.8422 data_time: 0.0339 memory: 21548 grad_norm: 3.5436 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5992 loss: 1.5992 2022/08/01 02:34:19 - mmengine - INFO - Epoch(train) [11][140/940] lr: 1.0000e-02 eta: 20:35:40 time: 0.9101 data_time: 0.0451 memory: 21548 grad_norm: 3.5189 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5309 loss: 1.5309 2022/08/01 02:34:34 - mmengine - INFO - Epoch(train) [11][160/940] lr: 1.0000e-02 eta: 20:35:05 time: 0.7780 data_time: 0.0346 memory: 21548 grad_norm: 3.6187 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5552 loss: 1.5552 2022/08/01 02:34:52 - mmengine - INFO - Epoch(train) [11][180/940] lr: 1.0000e-02 eta: 20:34:51 time: 0.9022 data_time: 0.0561 memory: 21548 grad_norm: 3.5729 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5619 loss: 1.5619 2022/08/01 02:35:09 - mmengine - INFO - Epoch(train) [11][200/940] lr: 1.0000e-02 eta: 20:34:24 time: 0.8205 data_time: 0.0437 memory: 21548 grad_norm: 3.5134 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.5530 loss: 1.5530 2022/08/01 02:35:27 - mmengine - INFO - Epoch(train) [11][220/940] lr: 1.0000e-02 eta: 20:34:16 time: 0.9332 data_time: 0.0379 memory: 21548 grad_norm: 3.5530 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.4753 loss: 1.4753 2022/08/01 02:35:43 - mmengine - INFO - Epoch(train) [11][240/940] lr: 1.0000e-02 eta: 20:33:40 time: 0.7729 data_time: 0.0400 memory: 21548 grad_norm: 3.5591 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5955 loss: 1.5955 2022/08/01 02:36:03 - mmengine - INFO - Epoch(train) [11][260/940] lr: 1.0000e-02 eta: 20:33:42 time: 0.9906 data_time: 0.0412 memory: 21548 grad_norm: 3.5117 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.5273 loss: 1.5273 2022/08/01 02:36:18 - mmengine - INFO - Epoch(train) [11][280/940] lr: 1.0000e-02 eta: 20:33:07 time: 0.7768 data_time: 0.0319 memory: 21548 grad_norm: 3.4872 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5506 loss: 1.5506 2022/08/01 02:36:38 - mmengine - INFO - Epoch(train) [11][300/940] lr: 1.0000e-02 eta: 20:33:04 time: 0.9612 data_time: 0.0377 memory: 21548 grad_norm: 3.5933 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.7087 loss: 1.7087 2022/08/01 02:36:52 - mmengine - INFO - Epoch(train) [11][320/940] lr: 1.0000e-02 eta: 20:32:21 time: 0.7329 data_time: 0.0332 memory: 21548 grad_norm: 3.5506 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.5603 loss: 1.5603 2022/08/01 02:37:12 - mmengine - INFO - Epoch(train) [11][340/940] lr: 1.0000e-02 eta: 20:32:22 time: 0.9819 data_time: 0.0387 memory: 21548 grad_norm: 3.5832 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.6639 loss: 1.6639 2022/08/01 02:37:27 - mmengine - INFO - Epoch(train) [11][360/940] lr: 1.0000e-02 eta: 20:31:43 time: 0.7540 data_time: 0.0405 memory: 21548 grad_norm: 3.6114 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6215 loss: 1.6215 2022/08/01 02:37:47 - mmengine - INFO - Epoch(train) [11][380/940] lr: 1.0000e-02 eta: 20:31:46 time: 0.9932 data_time: 0.0362 memory: 21548 grad_norm: 3.5266 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4536 loss: 1.4536 2022/08/01 02:38:02 - mmengine - INFO - Epoch(train) [11][400/940] lr: 1.0000e-02 eta: 20:31:10 time: 0.7722 data_time: 0.0421 memory: 21548 grad_norm: 3.6413 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.6274 loss: 1.6274 2022/08/01 02:38:21 - mmengine - INFO - Epoch(train) [11][420/940] lr: 1.0000e-02 eta: 20:31:01 time: 0.9267 data_time: 0.0508 memory: 21548 grad_norm: 3.6303 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5262 loss: 1.5262 2022/08/01 02:38:37 - mmengine - INFO - Epoch(train) [11][440/940] lr: 1.0000e-02 eta: 20:30:31 time: 0.8061 data_time: 0.0350 memory: 21548 grad_norm: 3.5731 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5606 loss: 1.5606 2022/08/01 02:38:56 - mmengine - INFO - Epoch(train) [11][460/940] lr: 1.0000e-02 eta: 20:30:23 time: 0.9349 data_time: 0.0427 memory: 21548 grad_norm: 3.6146 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.6036 loss: 1.6036 2022/08/01 02:39:10 - mmengine - INFO - Epoch(train) [11][480/940] lr: 1.0000e-02 eta: 20:29:39 time: 0.7174 data_time: 0.0456 memory: 21548 grad_norm: 3.5874 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6222 loss: 1.6222 2022/08/01 02:39:28 - mmengine - INFO - Epoch(train) [11][500/940] lr: 1.0000e-02 eta: 20:29:22 time: 0.8846 data_time: 0.0387 memory: 21548 grad_norm: 3.5716 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.6312 loss: 1.6312 2022/08/01 02:39:43 - mmengine - INFO - Epoch(train) [11][520/940] lr: 1.0000e-02 eta: 20:28:48 time: 0.7763 data_time: 0.0415 memory: 21548 grad_norm: 3.6001 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5404 loss: 1.5404 2022/08/01 02:40:03 - mmengine - INFO - Epoch(train) [11][540/940] lr: 1.0000e-02 eta: 20:28:47 time: 0.9758 data_time: 0.0335 memory: 21548 grad_norm: 3.5716 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6296 loss: 1.6296 2022/08/01 02:40:20 - mmengine - INFO - Epoch(train) [11][560/940] lr: 1.0000e-02 eta: 20:28:25 time: 0.8509 data_time: 0.0915 memory: 21548 grad_norm: 3.5468 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6905 loss: 1.6905 2022/08/01 02:40:35 - mmengine - INFO - Epoch(train) [11][580/940] lr: 1.0000e-02 eta: 20:27:49 time: 0.7705 data_time: 0.1261 memory: 21548 grad_norm: 3.6148 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.5555 loss: 1.5555 2022/08/01 02:40:54 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 02:40:54 - mmengine - INFO - Epoch(train) [11][600/940] lr: 1.0000e-02 eta: 20:27:43 time: 0.9442 data_time: 0.3040 memory: 21548 grad_norm: 3.5570 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5208 loss: 1.5208 2022/08/01 02:41:10 - mmengine - INFO - Epoch(train) [11][620/940] lr: 1.0000e-02 eta: 20:27:09 time: 0.7779 data_time: 0.2325 memory: 21548 grad_norm: 3.5493 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5033 loss: 1.5033 2022/08/01 02:41:29 - mmengine - INFO - Epoch(train) [11][640/940] lr: 1.0000e-02 eta: 20:27:07 time: 0.9705 data_time: 0.0889 memory: 21548 grad_norm: 3.5893 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5053 loss: 1.5053 2022/08/01 02:41:45 - mmengine - INFO - Epoch(train) [11][660/940] lr: 1.0000e-02 eta: 20:26:39 time: 0.8157 data_time: 0.0341 memory: 21548 grad_norm: 3.4870 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6171 loss: 1.6171 2022/08/01 02:42:05 - mmengine - INFO - Epoch(train) [11][680/940] lr: 1.0000e-02 eta: 20:26:36 time: 0.9631 data_time: 0.0425 memory: 21548 grad_norm: 3.5867 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5657 loss: 1.5657 2022/08/01 02:42:20 - mmengine - INFO - Epoch(train) [11][700/940] lr: 1.0000e-02 eta: 20:26:02 time: 0.7776 data_time: 0.0400 memory: 21548 grad_norm: 3.6528 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.6059 loss: 1.6059 2022/08/01 02:42:38 - mmengine - INFO - Epoch(train) [11][720/940] lr: 1.0000e-02 eta: 20:25:50 time: 0.9091 data_time: 0.0416 memory: 21548 grad_norm: 3.6103 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5608 loss: 1.5608 2022/08/01 02:42:54 - mmengine - INFO - Epoch(train) [11][740/940] lr: 1.0000e-02 eta: 20:25:16 time: 0.7738 data_time: 0.0423 memory: 21548 grad_norm: 3.5585 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.5992 loss: 1.5992 2022/08/01 02:43:11 - mmengine - INFO - Epoch(train) [11][760/940] lr: 1.0000e-02 eta: 20:24:59 time: 0.8840 data_time: 0.0479 memory: 21548 grad_norm: 3.5949 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5308 loss: 1.5308 2022/08/01 02:43:29 - mmengine - INFO - Epoch(train) [11][780/940] lr: 1.0000e-02 eta: 20:24:38 time: 0.8545 data_time: 0.0389 memory: 21548 grad_norm: 3.5217 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5219 loss: 1.5219 2022/08/01 02:43:48 - mmengine - INFO - Epoch(train) [11][800/940] lr: 1.0000e-02 eta: 20:24:33 time: 0.9542 data_time: 0.0376 memory: 21548 grad_norm: 3.5288 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5248 loss: 1.5248 2022/08/01 02:44:06 - mmengine - INFO - Epoch(train) [11][820/940] lr: 1.0000e-02 eta: 20:24:19 time: 0.8959 data_time: 0.0362 memory: 21548 grad_norm: 3.5665 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4877 loss: 1.4877 2022/08/01 02:44:25 - mmengine - INFO - Epoch(train) [11][840/940] lr: 1.0000e-02 eta: 20:24:15 time: 0.9617 data_time: 0.0367 memory: 21548 grad_norm: 3.6043 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4918 loss: 1.4918 2022/08/01 02:44:39 - mmengine - INFO - Epoch(train) [11][860/940] lr: 1.0000e-02 eta: 20:23:33 time: 0.7284 data_time: 0.0370 memory: 21548 grad_norm: 3.6244 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.5605 loss: 1.5605 2022/08/01 02:44:56 - mmengine - INFO - Epoch(train) [11][880/940] lr: 1.0000e-02 eta: 20:23:11 time: 0.8491 data_time: 0.0375 memory: 21548 grad_norm: 3.6618 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 1.6020 loss: 1.6020 2022/08/01 02:45:12 - mmengine - INFO - Epoch(train) [11][900/940] lr: 1.0000e-02 eta: 20:22:37 time: 0.7741 data_time: 0.0506 memory: 21548 grad_norm: 3.6641 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5714 loss: 1.5714 2022/08/01 02:45:31 - mmengine - INFO - Epoch(train) [11][920/940] lr: 1.0000e-02 eta: 20:22:30 time: 0.9376 data_time: 0.0376 memory: 21548 grad_norm: 3.5195 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.7128 loss: 1.7128 2022/08/01 02:45:44 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 02:45:44 - mmengine - INFO - Epoch(train) [11][940/940] lr: 1.0000e-02 eta: 20:21:37 time: 0.6613 data_time: 0.0279 memory: 21548 grad_norm: 3.8442 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.5940 loss: 1.5940 2022/08/01 02:46:04 - mmengine - INFO - Epoch(val) [11][20/78] eta: 0:00:58 time: 1.0042 data_time: 0.8787 memory: 3271 2022/08/01 02:46:19 - mmengine - INFO - Epoch(val) [11][40/78] eta: 0:00:27 time: 0.7287 data_time: 0.6049 memory: 3271 2022/08/01 02:46:38 - mmengine - INFO - Epoch(val) [11][60/78] eta: 0:00:17 time: 0.9618 data_time: 0.8294 memory: 3271 2022/08/01 02:46:52 - mmengine - INFO - Epoch(val) [11][78/78] acc/top1: 0.6518 acc/top5: 0.8677 acc/mean1: 0.6518 2022/08/01 02:46:52 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_11.pth is removed 2022/08/01 02:46:53 - mmengine - INFO - The best checkpoint with 0.6518 acc/top1 at 12 epoch is saved to best_acc/top1_epoch_12.pth. 2022/08/01 02:47:16 - mmengine - INFO - Epoch(train) [12][20/940] lr: 1.0000e-02 eta: 20:21:59 time: 1.1214 data_time: 0.7051 memory: 21548 grad_norm: 3.5483 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.5500 loss: 1.5500 2022/08/01 02:47:31 - mmengine - INFO - Epoch(train) [12][40/940] lr: 1.0000e-02 eta: 20:21:21 time: 0.7511 data_time: 0.3344 memory: 21548 grad_norm: 3.5363 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.6518 loss: 1.6518 2022/08/01 02:47:50 - mmengine - INFO - Epoch(train) [12][60/940] lr: 1.0000e-02 eta: 20:21:15 time: 0.9481 data_time: 0.5323 memory: 21548 grad_norm: 3.5812 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5180 loss: 1.5180 2022/08/01 02:48:05 - mmengine - INFO - Epoch(train) [12][80/940] lr: 1.0000e-02 eta: 20:20:44 time: 0.7868 data_time: 0.3882 memory: 21548 grad_norm: 3.5215 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4858 loss: 1.4858 2022/08/01 02:48:24 - mmengine - INFO - Epoch(train) [12][100/940] lr: 1.0000e-02 eta: 20:20:36 time: 0.9355 data_time: 0.3948 memory: 21548 grad_norm: 3.5904 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.5462 loss: 1.5462 2022/08/01 02:48:40 - mmengine - INFO - Epoch(train) [12][120/940] lr: 1.0000e-02 eta: 20:20:06 time: 0.7997 data_time: 0.3073 memory: 21548 grad_norm: 3.5459 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.6654 loss: 1.6654 2022/08/01 02:48:59 - mmengine - INFO - Epoch(train) [12][140/940] lr: 1.0000e-02 eta: 20:19:59 time: 0.9426 data_time: 0.4219 memory: 21548 grad_norm: 3.6052 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4417 loss: 1.4417 2022/08/01 02:49:14 - mmengine - INFO - Epoch(train) [12][160/940] lr: 1.0000e-02 eta: 20:19:22 time: 0.7577 data_time: 0.2327 memory: 21548 grad_norm: 3.6147 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.6642 loss: 1.6642 2022/08/01 02:49:33 - mmengine - INFO - Epoch(train) [12][180/940] lr: 1.0000e-02 eta: 20:19:13 time: 0.9262 data_time: 0.2336 memory: 21548 grad_norm: 3.6134 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5692 loss: 1.5692 2022/08/01 02:49:47 - mmengine - INFO - Epoch(train) [12][200/940] lr: 1.0000e-02 eta: 20:18:30 time: 0.7162 data_time: 0.1736 memory: 21548 grad_norm: 3.6294 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.6160 loss: 1.6160 2022/08/01 02:50:06 - mmengine - INFO - Epoch(train) [12][220/940] lr: 1.0000e-02 eta: 20:18:24 time: 0.9494 data_time: 0.3898 memory: 21548 grad_norm: 3.6184 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4534 loss: 1.4534 2022/08/01 02:50:22 - mmengine - INFO - Epoch(train) [12][240/940] lr: 1.0000e-02 eta: 20:17:53 time: 0.7896 data_time: 0.2174 memory: 21548 grad_norm: 3.6499 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.7558 loss: 1.7558 2022/08/01 02:50:41 - mmengine - INFO - Epoch(train) [12][260/940] lr: 1.0000e-02 eta: 20:17:52 time: 0.9805 data_time: 0.0784 memory: 21548 grad_norm: 3.6458 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.5457 loss: 1.5457 2022/08/01 02:50:59 - mmengine - INFO - Epoch(train) [12][280/940] lr: 1.0000e-02 eta: 20:17:36 time: 0.8848 data_time: 0.0310 memory: 21548 grad_norm: 3.6411 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.7298 loss: 1.7298 2022/08/01 02:51:16 - mmengine - INFO - Epoch(train) [12][300/940] lr: 1.0000e-02 eta: 20:17:18 time: 0.8731 data_time: 0.0437 memory: 21548 grad_norm: 3.5747 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5371 loss: 1.5371 2022/08/01 02:51:32 - mmengine - INFO - Epoch(train) [12][320/940] lr: 1.0000e-02 eta: 20:16:44 time: 0.7747 data_time: 0.0434 memory: 21548 grad_norm: 3.4911 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5017 loss: 1.5017 2022/08/01 02:51:51 - mmengine - INFO - Epoch(train) [12][340/940] lr: 1.0000e-02 eta: 20:16:36 time: 0.9383 data_time: 0.0463 memory: 21548 grad_norm: 3.5275 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5033 loss: 1.5033 2022/08/01 02:52:06 - mmengine - INFO - Epoch(train) [12][360/940] lr: 1.0000e-02 eta: 20:15:59 time: 0.7482 data_time: 0.0363 memory: 21548 grad_norm: 3.6640 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.4028 loss: 1.4028 2022/08/01 02:52:25 - mmengine - INFO - Epoch(train) [12][380/940] lr: 1.0000e-02 eta: 20:15:58 time: 0.9822 data_time: 0.0516 memory: 21548 grad_norm: 3.6931 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5696 loss: 1.5696 2022/08/01 02:52:40 - mmengine - INFO - Epoch(train) [12][400/940] lr: 1.0000e-02 eta: 20:15:18 time: 0.7314 data_time: 0.0443 memory: 21548 grad_norm: 3.5913 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4800 loss: 1.4800 2022/08/01 02:52:58 - mmengine - INFO - Epoch(train) [12][420/940] lr: 1.0000e-02 eta: 20:15:04 time: 0.9012 data_time: 0.0690 memory: 21548 grad_norm: 3.5708 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.5670 loss: 1.5670 2022/08/01 02:53:14 - mmengine - INFO - Epoch(train) [12][440/940] lr: 1.0000e-02 eta: 20:14:38 time: 0.8214 data_time: 0.1275 memory: 21548 grad_norm: 3.5863 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.5245 loss: 1.5245 2022/08/01 02:53:33 - mmengine - INFO - Epoch(train) [12][460/940] lr: 1.0000e-02 eta: 20:14:31 time: 0.9388 data_time: 0.1135 memory: 21548 grad_norm: 3.6471 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5152 loss: 1.5152 2022/08/01 02:53:49 - mmengine - INFO - Epoch(train) [12][480/940] lr: 1.0000e-02 eta: 20:14:00 time: 0.7891 data_time: 0.1781 memory: 21548 grad_norm: 3.5712 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5576 loss: 1.5576 2022/08/01 02:54:07 - mmengine - INFO - Epoch(train) [12][500/940] lr: 1.0000e-02 eta: 20:13:47 time: 0.9079 data_time: 0.1647 memory: 21548 grad_norm: 3.7069 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6156 loss: 1.6156 2022/08/01 02:54:24 - mmengine - INFO - Epoch(train) [12][520/940] lr: 1.0000e-02 eta: 20:13:21 time: 0.8204 data_time: 0.2423 memory: 21548 grad_norm: 3.5607 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5961 loss: 1.5961 2022/08/01 02:54:42 - mmengine - INFO - Epoch(train) [12][540/940] lr: 1.0000e-02 eta: 20:13:10 time: 0.9165 data_time: 0.2355 memory: 21548 grad_norm: 3.5979 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4877 loss: 1.4877 2022/08/01 02:55:01 - mmengine - INFO - Epoch(train) [12][560/940] lr: 1.0000e-02 eta: 20:13:02 time: 0.9366 data_time: 0.1589 memory: 21548 grad_norm: 3.5526 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5231 loss: 1.5231 2022/08/01 02:55:20 - mmengine - INFO - Epoch(train) [12][580/940] lr: 1.0000e-02 eta: 20:12:59 time: 0.9704 data_time: 0.5242 memory: 21548 grad_norm: 3.5218 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4869 loss: 1.4869 2022/08/01 02:55:39 - mmengine - INFO - Epoch(train) [12][600/940] lr: 1.0000e-02 eta: 20:12:49 time: 0.9260 data_time: 0.0550 memory: 21548 grad_norm: 3.6219 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.6500 loss: 1.6500 2022/08/01 02:55:55 - mmengine - INFO - Epoch(train) [12][620/940] lr: 1.0000e-02 eta: 20:12:26 time: 0.8415 data_time: 0.0877 memory: 21548 grad_norm: 3.5877 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4682 loss: 1.4682 2022/08/01 02:56:13 - mmengine - INFO - Epoch(train) [12][640/940] lr: 1.0000e-02 eta: 20:12:10 time: 0.8873 data_time: 0.1117 memory: 21548 grad_norm: 3.7099 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5930 loss: 1.5930 2022/08/01 02:56:30 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 02:56:30 - mmengine - INFO - Epoch(train) [12][660/940] lr: 1.0000e-02 eta: 20:11:45 time: 0.8278 data_time: 0.3639 memory: 21548 grad_norm: 3.6684 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.6185 loss: 1.6185 2022/08/01 02:56:46 - mmengine - INFO - Epoch(train) [12][680/940] lr: 1.0000e-02 eta: 20:11:17 time: 0.8072 data_time: 0.2996 memory: 21548 grad_norm: 3.6018 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.6194 loss: 1.6194 2022/08/01 02:57:04 - mmengine - INFO - Epoch(train) [12][700/940] lr: 1.0000e-02 eta: 20:11:03 time: 0.8963 data_time: 0.4014 memory: 21548 grad_norm: 3.6809 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5675 loss: 1.5675 2022/08/01 02:57:21 - mmengine - INFO - Epoch(train) [12][720/940] lr: 1.0000e-02 eta: 20:10:47 time: 0.8883 data_time: 0.0816 memory: 21548 grad_norm: 3.5942 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.6427 loss: 1.6427 2022/08/01 02:57:44 - mmengine - INFO - Epoch(train) [12][740/940] lr: 1.0000e-02 eta: 20:11:05 time: 1.1095 data_time: 0.5415 memory: 21548 grad_norm: 3.7038 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4787 loss: 1.4787 2022/08/01 02:57:58 - mmengine - INFO - Epoch(train) [12][760/940] lr: 1.0000e-02 eta: 20:10:25 time: 0.7262 data_time: 0.3049 memory: 21548 grad_norm: 3.6105 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5542 loss: 1.5542 2022/08/01 02:58:18 - mmengine - INFO - Epoch(train) [12][780/940] lr: 1.0000e-02 eta: 20:10:20 time: 0.9612 data_time: 0.4339 memory: 21548 grad_norm: 3.6343 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5921 loss: 1.5921 2022/08/01 02:58:32 - mmengine - INFO - Epoch(train) [12][800/940] lr: 1.0000e-02 eta: 20:09:43 time: 0.7424 data_time: 0.0379 memory: 21548 grad_norm: 3.6203 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.5004 loss: 1.5004 2022/08/01 02:58:51 - mmengine - INFO - Epoch(train) [12][820/940] lr: 1.0000e-02 eta: 20:09:36 time: 0.9479 data_time: 0.0392 memory: 21548 grad_norm: 3.5216 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.6045 loss: 1.6045 2022/08/01 02:59:08 - mmengine - INFO - Epoch(train) [12][840/940] lr: 1.0000e-02 eta: 20:09:12 time: 0.8328 data_time: 0.0319 memory: 21548 grad_norm: 3.5535 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6274 loss: 1.6274 2022/08/01 02:59:27 - mmengine - INFO - Epoch(train) [12][860/940] lr: 1.0000e-02 eta: 20:09:06 time: 0.9581 data_time: 0.0459 memory: 21548 grad_norm: 3.5790 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4702 loss: 1.4702 2022/08/01 02:59:43 - mmengine - INFO - Epoch(train) [12][880/940] lr: 1.0000e-02 eta: 20:08:35 time: 0.7820 data_time: 0.0331 memory: 21548 grad_norm: 3.6073 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6385 loss: 1.6385 2022/08/01 03:00:02 - mmengine - INFO - Epoch(train) [12][900/940] lr: 1.0000e-02 eta: 20:08:34 time: 0.9887 data_time: 0.0377 memory: 21548 grad_norm: 3.6392 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.6925 loss: 1.6925 2022/08/01 03:00:18 - mmengine - INFO - Epoch(train) [12][920/940] lr: 1.0000e-02 eta: 20:08:05 time: 0.7947 data_time: 0.0416 memory: 21548 grad_norm: 3.6400 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5718 loss: 1.5718 2022/08/01 03:00:34 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 03:00:34 - mmengine - INFO - Epoch(train) [12][940/940] lr: 1.0000e-02 eta: 20:07:35 time: 0.7940 data_time: 0.0278 memory: 21548 grad_norm: 3.9074 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.6976 loss: 1.6976 2022/08/01 03:00:34 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/08/01 03:01:02 - mmengine - INFO - Epoch(val) [12][20/78] eta: 0:01:16 time: 1.3265 data_time: 1.2098 memory: 3271 2022/08/01 03:01:15 - mmengine - INFO - Epoch(val) [12][40/78] eta: 0:00:23 time: 0.6278 data_time: 0.5095 memory: 3271 2022/08/01 03:01:33 - mmengine - INFO - Epoch(val) [12][60/78] eta: 0:00:16 time: 0.8971 data_time: 0.7802 memory: 3271 2022/08/01 03:01:53 - mmengine - INFO - Epoch(val) [12][78/78] acc/top1: 0.6500 acc/top5: 0.8669 acc/mean1: 0.6498 2022/08/01 03:02:17 - mmengine - INFO - Epoch(train) [13][20/940] lr: 1.0000e-02 eta: 20:08:03 time: 1.1834 data_time: 0.6333 memory: 21548 grad_norm: 3.5959 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3702 loss: 1.3702 2022/08/01 03:02:32 - mmengine - INFO - Epoch(train) [13][40/940] lr: 1.0000e-02 eta: 20:07:25 time: 0.7396 data_time: 0.3142 memory: 21548 grad_norm: 3.6346 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5316 loss: 1.5316 2022/08/01 03:02:53 - mmengine - INFO - Epoch(train) [13][60/940] lr: 1.0000e-02 eta: 20:07:36 time: 1.0690 data_time: 0.3146 memory: 21548 grad_norm: 3.5450 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5101 loss: 1.5101 2022/08/01 03:03:10 - mmengine - INFO - Epoch(train) [13][80/940] lr: 1.0000e-02 eta: 20:07:12 time: 0.8361 data_time: 0.0487 memory: 21548 grad_norm: 3.6352 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.6358 loss: 1.6358 2022/08/01 03:03:29 - mmengine - INFO - Epoch(train) [13][100/940] lr: 1.0000e-02 eta: 20:07:07 time: 0.9596 data_time: 0.0364 memory: 21548 grad_norm: 3.6237 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5053 loss: 1.5053 2022/08/01 03:03:44 - mmengine - INFO - Epoch(train) [13][120/940] lr: 1.0000e-02 eta: 20:06:28 time: 0.7288 data_time: 0.0407 memory: 21548 grad_norm: 3.6132 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5392 loss: 1.5392 2022/08/01 03:04:03 - mmengine - INFO - Epoch(train) [13][140/940] lr: 1.0000e-02 eta: 20:06:27 time: 0.9927 data_time: 0.2619 memory: 21548 grad_norm: 3.6358 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6963 loss: 1.6963 2022/08/01 03:04:21 - mmengine - INFO - Epoch(train) [13][160/940] lr: 1.0000e-02 eta: 20:06:10 time: 0.8768 data_time: 0.1311 memory: 21548 grad_norm: 3.5930 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5036 loss: 1.5036 2022/08/01 03:04:38 - mmengine - INFO - Epoch(train) [13][180/940] lr: 1.0000e-02 eta: 20:05:48 time: 0.8503 data_time: 0.1663 memory: 21548 grad_norm: 3.6617 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.4751 loss: 1.4751 2022/08/01 03:04:56 - mmengine - INFO - Epoch(train) [13][200/940] lr: 1.0000e-02 eta: 20:05:38 time: 0.9272 data_time: 0.2003 memory: 21548 grad_norm: 3.6211 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4157 loss: 1.4157 2022/08/01 03:05:16 - mmengine - INFO - Epoch(train) [13][220/940] lr: 1.0000e-02 eta: 20:05:36 time: 0.9822 data_time: 0.0341 memory: 21548 grad_norm: 3.6311 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5898 loss: 1.5898 2022/08/01 03:05:32 - mmengine - INFO - Epoch(train) [13][240/940] lr: 1.0000e-02 eta: 20:05:05 time: 0.7834 data_time: 0.0414 memory: 21548 grad_norm: 3.6041 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4131 loss: 1.4131 2022/08/01 03:05:50 - mmengine - INFO - Epoch(train) [13][260/940] lr: 1.0000e-02 eta: 20:04:51 time: 0.9046 data_time: 0.0400 memory: 21548 grad_norm: 3.6073 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3720 loss: 1.3720 2022/08/01 03:06:08 - mmengine - INFO - Epoch(train) [13][280/940] lr: 1.0000e-02 eta: 20:04:41 time: 0.9261 data_time: 0.0356 memory: 21548 grad_norm: 3.6513 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.5434 loss: 1.5434 2022/08/01 03:06:24 - mmengine - INFO - Epoch(train) [13][300/940] lr: 1.0000e-02 eta: 20:04:13 time: 0.8043 data_time: 0.0446 memory: 21548 grad_norm: 3.6315 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5802 loss: 1.5802 2022/08/01 03:06:43 - mmengine - INFO - Epoch(train) [13][320/940] lr: 1.0000e-02 eta: 20:04:07 time: 0.9565 data_time: 0.0401 memory: 21548 grad_norm: 3.6246 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.5760 loss: 1.5760 2022/08/01 03:06:59 - mmengine - INFO - Epoch(train) [13][340/940] lr: 1.0000e-02 eta: 20:03:36 time: 0.7853 data_time: 0.0626 memory: 21548 grad_norm: 3.6290 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.5595 loss: 1.5595 2022/08/01 03:07:17 - mmengine - INFO - Epoch(train) [13][360/940] lr: 1.0000e-02 eta: 20:03:21 time: 0.8960 data_time: 0.2326 memory: 21548 grad_norm: 3.6223 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.5418 loss: 1.5418 2022/08/01 03:07:38 - mmengine - INFO - Epoch(train) [13][380/940] lr: 1.0000e-02 eta: 20:03:31 time: 1.0678 data_time: 0.6304 memory: 21548 grad_norm: 3.6505 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4748 loss: 1.4748 2022/08/01 03:07:54 - mmengine - INFO - Epoch(train) [13][400/940] lr: 1.0000e-02 eta: 20:02:57 time: 0.7614 data_time: 0.3437 memory: 21548 grad_norm: 3.6635 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3998 loss: 1.3998 2022/08/01 03:08:11 - mmengine - INFO - Epoch(train) [13][420/940] lr: 1.0000e-02 eta: 20:02:40 time: 0.8803 data_time: 0.3968 memory: 21548 grad_norm: 3.5798 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5503 loss: 1.5503 2022/08/01 03:08:28 - mmengine - INFO - Epoch(train) [13][440/940] lr: 1.0000e-02 eta: 20:02:14 time: 0.8192 data_time: 0.1713 memory: 21548 grad_norm: 3.6276 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5164 loss: 1.5164 2022/08/01 03:08:49 - mmengine - INFO - Epoch(train) [13][460/940] lr: 1.0000e-02 eta: 20:02:23 time: 1.0658 data_time: 0.2877 memory: 21548 grad_norm: 3.5951 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6162 loss: 1.6162 2022/08/01 03:09:05 - mmengine - INFO - Epoch(train) [13][480/940] lr: 1.0000e-02 eta: 20:01:52 time: 0.7797 data_time: 0.3529 memory: 21548 grad_norm: 3.6642 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 1.4944 loss: 1.4944 2022/08/01 03:09:24 - mmengine - INFO - Epoch(train) [13][500/940] lr: 1.0000e-02 eta: 20:01:49 time: 0.9781 data_time: 0.5503 memory: 21548 grad_norm: 3.5507 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4866 loss: 1.4866 2022/08/01 03:09:40 - mmengine - INFO - Epoch(train) [13][520/940] lr: 1.0000e-02 eta: 20:01:18 time: 0.7817 data_time: 0.3675 memory: 21548 grad_norm: 3.6540 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5402 loss: 1.5402 2022/08/01 03:09:58 - mmengine - INFO - Epoch(train) [13][540/940] lr: 1.0000e-02 eta: 20:01:06 time: 0.9204 data_time: 0.4316 memory: 21548 grad_norm: 3.6341 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5045 loss: 1.5045 2022/08/01 03:10:13 - mmengine - INFO - Epoch(train) [13][560/940] lr: 1.0000e-02 eta: 20:00:31 time: 0.7517 data_time: 0.2876 memory: 21548 grad_norm: 3.5548 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4884 loss: 1.4884 2022/08/01 03:10:33 - mmengine - INFO - Epoch(train) [13][580/940] lr: 1.0000e-02 eta: 20:00:28 time: 0.9799 data_time: 0.1087 memory: 21548 grad_norm: 3.6465 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4323 loss: 1.4323 2022/08/01 03:10:49 - mmengine - INFO - Epoch(train) [13][600/940] lr: 1.0000e-02 eta: 20:00:02 time: 0.8154 data_time: 0.0303 memory: 21548 grad_norm: 3.5783 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5945 loss: 1.5945 2022/08/01 03:11:09 - mmengine - INFO - Epoch(train) [13][620/940] lr: 1.0000e-02 eta: 19:59:58 time: 0.9769 data_time: 0.0597 memory: 21548 grad_norm: 3.6782 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4511 loss: 1.4511 2022/08/01 03:11:24 - mmengine - INFO - Epoch(train) [13][640/940] lr: 1.0000e-02 eta: 19:59:23 time: 0.7489 data_time: 0.0309 memory: 21548 grad_norm: 3.6352 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.6370 loss: 1.6370 2022/08/01 03:11:44 - mmengine - INFO - Epoch(train) [13][660/940] lr: 1.0000e-02 eta: 19:59:25 time: 1.0132 data_time: 0.0417 memory: 21548 grad_norm: 3.6440 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5591 loss: 1.5591 2022/08/01 03:12:01 - mmengine - INFO - Epoch(train) [13][680/940] lr: 1.0000e-02 eta: 19:59:02 time: 0.8396 data_time: 0.0299 memory: 21548 grad_norm: 3.6771 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.4679 loss: 1.4679 2022/08/01 03:12:20 - mmengine - INFO - Epoch(train) [13][700/940] lr: 1.0000e-02 eta: 19:58:55 time: 0.9554 data_time: 0.0401 memory: 21548 grad_norm: 3.6779 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4872 loss: 1.4872 2022/08/01 03:12:40 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 03:12:40 - mmengine - INFO - Epoch(train) [13][720/940] lr: 1.0000e-02 eta: 19:58:55 time: 1.0048 data_time: 0.0328 memory: 21548 grad_norm: 3.6965 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.4617 loss: 1.4617 2022/08/01 03:13:00 - mmengine - INFO - Epoch(train) [13][740/940] lr: 1.0000e-02 eta: 19:58:55 time: 1.0079 data_time: 0.0380 memory: 21548 grad_norm: 3.6059 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.5292 loss: 1.5292 2022/08/01 03:13:16 - mmengine - INFO - Epoch(train) [13][760/940] lr: 1.0000e-02 eta: 19:58:25 time: 0.7808 data_time: 0.0350 memory: 21548 grad_norm: 3.5996 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.6269 loss: 1.6269 2022/08/01 03:13:37 - mmengine - INFO - Epoch(train) [13][780/940] lr: 1.0000e-02 eta: 19:58:34 time: 1.0768 data_time: 0.0371 memory: 21548 grad_norm: 3.6463 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6235 loss: 1.6235 2022/08/01 03:13:52 - mmengine - INFO - Epoch(train) [13][800/940] lr: 1.0000e-02 eta: 19:57:58 time: 0.7401 data_time: 0.0372 memory: 21548 grad_norm: 3.6480 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5921 loss: 1.5921 2022/08/01 03:14:12 - mmengine - INFO - Epoch(train) [13][820/940] lr: 1.0000e-02 eta: 19:57:54 time: 0.9818 data_time: 0.0317 memory: 21548 grad_norm: 3.5818 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4528 loss: 1.4528 2022/08/01 03:14:30 - mmengine - INFO - Epoch(train) [13][840/940] lr: 1.0000e-02 eta: 19:57:39 time: 0.8963 data_time: 0.0587 memory: 21548 grad_norm: 3.6246 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4044 loss: 1.4044 2022/08/01 03:14:47 - mmengine - INFO - Epoch(train) [13][860/940] lr: 1.0000e-02 eta: 19:57:23 time: 0.8866 data_time: 0.0322 memory: 21548 grad_norm: 3.7051 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6876 loss: 1.6876 2022/08/01 03:15:07 - mmengine - INFO - Epoch(train) [13][880/940] lr: 1.0000e-02 eta: 19:57:17 time: 0.9607 data_time: 0.0377 memory: 21548 grad_norm: 3.7526 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5927 loss: 1.5927 2022/08/01 03:15:23 - mmengine - INFO - Epoch(train) [13][900/940] lr: 1.0000e-02 eta: 19:56:55 time: 0.8462 data_time: 0.0750 memory: 21548 grad_norm: 3.6574 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5180 loss: 1.5180 2022/08/01 03:15:42 - mmengine - INFO - Epoch(train) [13][920/940] lr: 1.0000e-02 eta: 19:56:47 time: 0.9489 data_time: 0.0406 memory: 21548 grad_norm: 3.6876 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.4241 loss: 1.4241 2022/08/01 03:15:59 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 03:15:59 - mmengine - INFO - Epoch(train) [13][940/940] lr: 1.0000e-02 eta: 19:56:23 time: 0.8323 data_time: 0.0257 memory: 21548 grad_norm: 3.8699 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.5294 loss: 1.5294 2022/08/01 03:16:26 - mmengine - INFO - Epoch(val) [13][20/78] eta: 0:01:17 time: 1.3311 data_time: 1.2171 memory: 3271 2022/08/01 03:16:41 - mmengine - INFO - Epoch(val) [13][40/78] eta: 0:00:28 time: 0.7534 data_time: 0.6428 memory: 3271 2022/08/01 03:17:01 - mmengine - INFO - Epoch(val) [13][60/78] eta: 0:00:18 time: 1.0249 data_time: 0.9105 memory: 3271 2022/08/01 03:17:33 - mmengine - INFO - Epoch(val) [13][78/78] acc/top1: 0.6586 acc/top5: 0.8684 acc/mean1: 0.6584 2022/08/01 03:17:33 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_12.pth is removed 2022/08/01 03:17:35 - mmengine - INFO - The best checkpoint with 0.6586 acc/top1 at 14 epoch is saved to best_acc/top1_epoch_14.pth. 2022/08/01 03:18:03 - mmengine - INFO - Epoch(train) [14][20/940] lr: 1.0000e-02 eta: 19:57:16 time: 1.4058 data_time: 1.0054 memory: 21548 grad_norm: 3.5960 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4148 loss: 1.4148 2022/08/01 03:18:19 - mmengine - INFO - Epoch(train) [14][40/940] lr: 1.0000e-02 eta: 19:56:51 time: 0.8200 data_time: 0.4214 memory: 21548 grad_norm: 3.7177 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.6372 loss: 1.6372 2022/08/01 03:18:39 - mmengine - INFO - Epoch(train) [14][60/940] lr: 1.0000e-02 eta: 19:56:44 time: 0.9622 data_time: 0.5413 memory: 21548 grad_norm: 3.6495 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4179 loss: 1.4179 2022/08/01 03:18:59 - mmengine - INFO - Epoch(train) [14][80/940] lr: 1.0000e-02 eta: 19:56:46 time: 1.0200 data_time: 0.5966 memory: 21548 grad_norm: 3.6951 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.4919 loss: 1.4919 2022/08/01 03:19:13 - mmengine - INFO - Epoch(train) [14][100/940] lr: 1.0000e-02 eta: 19:56:07 time: 0.7223 data_time: 0.3150 memory: 21548 grad_norm: 3.6195 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5148 loss: 1.5148 2022/08/01 03:19:33 - mmengine - INFO - Epoch(train) [14][120/940] lr: 1.0000e-02 eta: 19:56:02 time: 0.9747 data_time: 0.5411 memory: 21548 grad_norm: 3.5738 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4998 loss: 1.4998 2022/08/01 03:19:51 - mmengine - INFO - Epoch(train) [14][140/940] lr: 1.0000e-02 eta: 19:55:50 time: 0.9207 data_time: 0.3538 memory: 21548 grad_norm: 3.6249 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4456 loss: 1.4456 2022/08/01 03:20:12 - mmengine - INFO - Epoch(train) [14][160/940] lr: 1.0000e-02 eta: 19:55:51 time: 1.0177 data_time: 0.3591 memory: 21548 grad_norm: 3.6767 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5523 loss: 1.5523 2022/08/01 03:20:32 - mmengine - INFO - Epoch(train) [14][180/940] lr: 1.0000e-02 eta: 19:55:48 time: 0.9885 data_time: 0.4839 memory: 21548 grad_norm: 3.6352 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4797 loss: 1.4797 2022/08/01 03:20:49 - mmengine - INFO - Epoch(train) [14][200/940] lr: 1.0000e-02 eta: 19:55:27 time: 0.8510 data_time: 0.4226 memory: 21548 grad_norm: 3.6424 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4411 loss: 1.4411 2022/08/01 03:21:13 - mmengine - INFO - Epoch(train) [14][220/940] lr: 1.0000e-02 eta: 19:55:57 time: 1.2415 data_time: 0.8344 memory: 21548 grad_norm: 3.6843 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.5333 loss: 1.5333 2022/08/01 03:21:31 - mmengine - INFO - Epoch(train) [14][240/940] lr: 1.0000e-02 eta: 19:55:38 time: 0.8705 data_time: 0.4003 memory: 21548 grad_norm: 3.6868 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5308 loss: 1.5308 2022/08/01 03:21:58 - mmengine - INFO - Epoch(train) [14][260/940] lr: 1.0000e-02 eta: 19:56:21 time: 1.3459 data_time: 0.8964 memory: 21548 grad_norm: 3.5906 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4648 loss: 1.4648 2022/08/01 03:22:17 - mmengine - INFO - Epoch(train) [14][280/940] lr: 1.0000e-02 eta: 19:56:13 time: 0.9499 data_time: 0.3392 memory: 21548 grad_norm: 3.6590 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4693 loss: 1.4693 2022/08/01 03:22:35 - mmengine - INFO - Epoch(train) [14][300/940] lr: 1.0000e-02 eta: 19:55:58 time: 0.9030 data_time: 0.3182 memory: 21548 grad_norm: 3.6862 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5230 loss: 1.5230 2022/08/01 03:22:54 - mmengine - INFO - Epoch(train) [14][320/940] lr: 1.0000e-02 eta: 19:55:54 time: 0.9851 data_time: 0.4712 memory: 21548 grad_norm: 3.5796 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.4400 loss: 1.4400 2022/08/01 03:23:13 - mmengine - INFO - Epoch(train) [14][340/940] lr: 1.0000e-02 eta: 19:55:45 time: 0.9476 data_time: 0.5378 memory: 21548 grad_norm: 3.6373 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4708 loss: 1.4708 2022/08/01 03:23:32 - mmengine - INFO - Epoch(train) [14][360/940] lr: 1.0000e-02 eta: 19:55:33 time: 0.9282 data_time: 0.5141 memory: 21548 grad_norm: 3.6929 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5111 loss: 1.5111 2022/08/01 03:23:52 - mmengine - INFO - Epoch(train) [14][380/940] lr: 1.0000e-02 eta: 19:55:29 time: 0.9877 data_time: 0.5623 memory: 21548 grad_norm: 3.6322 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4524 loss: 1.4524 2022/08/01 03:24:08 - mmengine - INFO - Epoch(train) [14][400/940] lr: 1.0000e-02 eta: 19:55:00 time: 0.7890 data_time: 0.3609 memory: 21548 grad_norm: 3.6521 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5671 loss: 1.5671 2022/08/01 03:24:29 - mmengine - INFO - Epoch(train) [14][420/940] lr: 1.0000e-02 eta: 19:55:09 time: 1.0855 data_time: 0.5953 memory: 21548 grad_norm: 3.6224 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6334 loss: 1.6334 2022/08/01 03:24:46 - mmengine - INFO - Epoch(train) [14][440/940] lr: 1.0000e-02 eta: 19:54:48 time: 0.8548 data_time: 0.4014 memory: 21548 grad_norm: 3.6470 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5925 loss: 1.5925 2022/08/01 03:25:05 - mmengine - INFO - Epoch(train) [14][460/940] lr: 1.0000e-02 eta: 19:54:35 time: 0.9175 data_time: 0.1559 memory: 21548 grad_norm: 3.6670 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3994 loss: 1.3994 2022/08/01 03:25:21 - mmengine - INFO - Epoch(train) [14][480/940] lr: 1.0000e-02 eta: 19:54:07 time: 0.8032 data_time: 0.0295 memory: 21548 grad_norm: 3.7335 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5860 loss: 1.5860 2022/08/01 03:25:41 - mmengine - INFO - Epoch(train) [14][500/940] lr: 1.0000e-02 eta: 19:54:02 time: 0.9826 data_time: 0.2438 memory: 21548 grad_norm: 3.6253 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4218 loss: 1.4218 2022/08/01 03:25:57 - mmengine - INFO - Epoch(train) [14][520/940] lr: 1.0000e-02 eta: 19:53:38 time: 0.8283 data_time: 0.0422 memory: 21548 grad_norm: 3.6616 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4650 loss: 1.4650 2022/08/01 03:26:15 - mmengine - INFO - Epoch(train) [14][540/940] lr: 1.0000e-02 eta: 19:53:21 time: 0.8912 data_time: 0.1813 memory: 21548 grad_norm: 3.8215 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.5460 loss: 1.5460 2022/08/01 03:26:37 - mmengine - INFO - Epoch(train) [14][560/940] lr: 1.0000e-02 eta: 19:53:33 time: 1.1096 data_time: 0.3349 memory: 21548 grad_norm: 3.6079 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.4937 loss: 1.4937 2022/08/01 03:26:53 - mmengine - INFO - Epoch(train) [14][580/940] lr: 1.0000e-02 eta: 19:53:08 time: 0.8214 data_time: 0.0387 memory: 21548 grad_norm: 3.6531 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.6258 loss: 1.6258 2022/08/01 03:27:13 - mmengine - INFO - Epoch(train) [14][600/940] lr: 1.0000e-02 eta: 19:53:03 time: 0.9884 data_time: 0.0318 memory: 21548 grad_norm: 3.6141 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.5292 loss: 1.5292 2022/08/01 03:27:31 - mmengine - INFO - Epoch(train) [14][620/940] lr: 1.0000e-02 eta: 19:52:47 time: 0.8904 data_time: 0.0349 memory: 21548 grad_norm: 3.6877 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5998 loss: 1.5998 2022/08/01 03:27:50 - mmengine - INFO - Epoch(train) [14][640/940] lr: 1.0000e-02 eta: 19:52:40 time: 0.9669 data_time: 0.0326 memory: 21548 grad_norm: 3.6407 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5355 loss: 1.5355 2022/08/01 03:28:08 - mmengine - INFO - Epoch(train) [14][660/940] lr: 1.0000e-02 eta: 19:52:23 time: 0.8903 data_time: 0.0365 memory: 21548 grad_norm: 3.7202 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5304 loss: 1.5304 2022/08/01 03:28:28 - mmengine - INFO - Epoch(train) [14][680/940] lr: 1.0000e-02 eta: 19:52:18 time: 0.9780 data_time: 0.0414 memory: 21548 grad_norm: 3.6423 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4600 loss: 1.4600 2022/08/01 03:28:46 - mmengine - INFO - Epoch(train) [14][700/940] lr: 1.0000e-02 eta: 19:52:02 time: 0.8955 data_time: 0.0371 memory: 21548 grad_norm: 3.7070 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5413 loss: 1.5413 2022/08/01 03:29:06 - mmengine - INFO - Epoch(train) [14][720/940] lr: 1.0000e-02 eta: 19:51:59 time: 1.0018 data_time: 0.0406 memory: 21548 grad_norm: 3.6596 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4829 loss: 1.4829 2022/08/01 03:29:21 - mmengine - INFO - Epoch(train) [14][740/940] lr: 1.0000e-02 eta: 19:51:26 time: 0.7578 data_time: 0.0353 memory: 21548 grad_norm: 3.7393 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4106 loss: 1.4106 2022/08/01 03:29:41 - mmengine - INFO - Epoch(train) [14][760/940] lr: 1.0000e-02 eta: 19:51:25 time: 1.0136 data_time: 0.1089 memory: 21548 grad_norm: 3.5992 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4203 loss: 1.4203 2022/08/01 03:30:00 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 03:30:00 - mmengine - INFO - Epoch(train) [14][780/940] lr: 1.0000e-02 eta: 19:51:17 time: 0.9593 data_time: 0.1067 memory: 21548 grad_norm: 3.7085 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5610 loss: 1.5610 2022/08/01 03:30:28 - mmengine - INFO - Epoch(train) [14][800/940] lr: 1.0000e-02 eta: 19:52:00 time: 1.3697 data_time: 0.0399 memory: 21548 grad_norm: 3.7426 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4584 loss: 1.4584 2022/08/01 03:30:47 - mmengine - INFO - Epoch(train) [14][820/940] lr: 1.0000e-02 eta: 19:51:51 time: 0.9514 data_time: 0.0691 memory: 21548 grad_norm: 3.7096 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.5456 loss: 1.5456 2022/08/01 03:31:11 - mmengine - INFO - Epoch(train) [14][840/940] lr: 1.0000e-02 eta: 19:52:11 time: 1.1940 data_time: 0.6009 memory: 21548 grad_norm: 3.6542 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5922 loss: 1.5922 2022/08/01 03:31:31 - mmengine - INFO - Epoch(train) [14][860/940] lr: 1.0000e-02 eta: 19:52:08 time: 0.9975 data_time: 0.5287 memory: 21548 grad_norm: 3.6714 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4836 loss: 1.4836 2022/08/01 03:31:53 - mmengine - INFO - Epoch(train) [14][880/940] lr: 1.0000e-02 eta: 19:52:20 time: 1.1277 data_time: 0.1780 memory: 21548 grad_norm: 3.6791 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4241 loss: 1.4241 2022/08/01 03:32:16 - mmengine - INFO - Epoch(train) [14][900/940] lr: 1.0000e-02 eta: 19:52:35 time: 1.1442 data_time: 0.1914 memory: 21548 grad_norm: 3.7389 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4830 loss: 1.4830 2022/08/01 03:32:47 - mmengine - INFO - Epoch(train) [14][920/940] lr: 1.0000e-02 eta: 19:53:39 time: 1.5485 data_time: 0.8205 memory: 21548 grad_norm: 3.6576 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.6177 loss: 1.6177 2022/08/01 03:33:03 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 03:33:03 - mmengine - INFO - Epoch(train) [14][940/940] lr: 1.0000e-02 eta: 19:53:09 time: 0.7871 data_time: 0.4162 memory: 21548 grad_norm: 3.8465 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.6237 loss: 1.6237 2022/08/01 03:33:44 - mmengine - INFO - Epoch(val) [14][20/78] eta: 0:02:00 time: 2.0740 data_time: 1.9554 memory: 3271 2022/08/01 03:34:04 - mmengine - INFO - Epoch(val) [14][40/78] eta: 0:00:38 time: 1.0123 data_time: 0.9058 memory: 3271 2022/08/01 03:34:24 - mmengine - INFO - Epoch(val) [14][60/78] eta: 0:00:17 time: 0.9774 data_time: 0.8690 memory: 3271 2022/08/01 03:44:17 - mmengine - INFO - Epoch(val) [14][78/78] acc/top1: 0.6624 acc/top5: 0.8711 acc/mean1: 0.6622 2022/08/01 03:44:17 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_14.pth is removed 2022/08/01 03:44:18 - mmengine - INFO - The best checkpoint with 0.6624 acc/top1 at 15 epoch is saved to best_acc/top1_epoch_15.pth. 2022/08/01 03:44:52 - mmengine - INFO - Epoch(train) [15][20/940] lr: 1.0000e-02 eta: 19:54:31 time: 1.7003 data_time: 0.6675 memory: 21548 grad_norm: 3.6254 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4114 loss: 1.4114 2022/08/01 03:45:16 - mmengine - INFO - Epoch(train) [15][40/940] lr: 1.0000e-02 eta: 19:54:50 time: 1.1910 data_time: 0.0338 memory: 21548 grad_norm: 3.6279 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.5977 loss: 1.5977 2022/08/01 03:45:35 - mmengine - INFO - Epoch(train) [15][60/940] lr: 1.0000e-02 eta: 19:54:39 time: 0.9414 data_time: 0.0400 memory: 21548 grad_norm: 3.5718 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4251 loss: 1.4251 2022/08/01 03:45:56 - mmengine - INFO - Epoch(train) [15][80/940] lr: 1.0000e-02 eta: 19:54:41 time: 1.0463 data_time: 0.0312 memory: 21548 grad_norm: 3.6529 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.3869 loss: 1.3869 2022/08/01 03:46:13 - mmengine - INFO - Epoch(train) [15][100/940] lr: 1.0000e-02 eta: 19:54:21 time: 0.8706 data_time: 0.0447 memory: 21548 grad_norm: 3.5694 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.4130 loss: 1.4130 2022/08/01 03:46:33 - mmengine - INFO - Epoch(train) [15][120/940] lr: 1.0000e-02 eta: 19:54:14 time: 0.9760 data_time: 0.0449 memory: 21548 grad_norm: 3.5958 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4580 loss: 1.4580 2022/08/01 03:46:53 - mmengine - INFO - Epoch(train) [15][140/940] lr: 1.0000e-02 eta: 19:54:12 time: 1.0130 data_time: 0.0429 memory: 21548 grad_norm: 3.6429 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.5863 loss: 1.5863 2022/08/01 03:47:13 - mmengine - INFO - Epoch(train) [15][160/940] lr: 1.0000e-02 eta: 19:54:06 time: 0.9854 data_time: 0.0432 memory: 21548 grad_norm: 3.6630 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4686 loss: 1.4686 2022/08/01 03:47:28 - mmengine - INFO - Epoch(train) [15][180/940] lr: 1.0000e-02 eta: 19:53:33 time: 0.7661 data_time: 0.0412 memory: 21548 grad_norm: 3.6101 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.3634 loss: 1.3634 2022/08/01 03:47:46 - mmengine - INFO - Epoch(train) [15][200/940] lr: 1.0000e-02 eta: 19:53:21 time: 0.9308 data_time: 0.0447 memory: 21548 grad_norm: 3.6948 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4195 loss: 1.4195 2022/08/01 03:48:05 - mmengine - INFO - Epoch(train) [15][220/940] lr: 1.0000e-02 eta: 19:53:09 time: 0.9408 data_time: 0.0338 memory: 21548 grad_norm: 3.6911 top1_acc: 0.5312 top5_acc: 0.9375 loss_cls: 1.3532 loss: 1.3532 2022/08/01 03:48:29 - mmengine - INFO - Epoch(train) [15][240/940] lr: 1.0000e-02 eta: 19:53:25 time: 1.1637 data_time: 0.0391 memory: 21548 grad_norm: 3.6515 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3850 loss: 1.3850 2022/08/01 03:48:45 - mmengine - INFO - Epoch(train) [15][260/940] lr: 1.0000e-02 eta: 19:53:00 time: 0.8339 data_time: 0.0402 memory: 21548 grad_norm: 3.6337 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4636 loss: 1.4636 2022/08/01 03:49:08 - mmengine - INFO - Epoch(train) [15][280/940] lr: 1.0000e-02 eta: 19:53:14 time: 1.1532 data_time: 0.0318 memory: 21548 grad_norm: 3.7213 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4964 loss: 1.4964 2022/08/01 03:49:31 - mmengine - INFO - Epoch(train) [15][300/940] lr: 1.0000e-02 eta: 19:53:25 time: 1.1281 data_time: 0.0323 memory: 21548 grad_norm: 3.6941 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.6126 loss: 1.6126 2022/08/01 03:49:47 - mmengine - INFO - Epoch(train) [15][320/940] lr: 1.0000e-02 eta: 19:52:58 time: 0.8082 data_time: 0.0381 memory: 21548 grad_norm: 3.6149 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2536 loss: 1.2536 2022/08/01 03:50:10 - mmengine - INFO - Epoch(train) [15][340/940] lr: 1.0000e-02 eta: 19:53:10 time: 1.1453 data_time: 0.0299 memory: 21548 grad_norm: 3.7440 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.5385 loss: 1.5385 2022/08/01 03:50:30 - mmengine - INFO - Epoch(train) [15][360/940] lr: 1.0000e-02 eta: 19:53:03 time: 0.9794 data_time: 0.0335 memory: 21548 grad_norm: 3.6220 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3799 loss: 1.3799 2022/08/01 03:50:50 - mmengine - INFO - Epoch(train) [15][380/940] lr: 1.0000e-02 eta: 19:52:59 time: 1.0038 data_time: 0.0365 memory: 21548 grad_norm: 3.6885 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4404 loss: 1.4404 2022/08/01 03:51:05 - mmengine - INFO - Epoch(train) [15][400/940] lr: 1.0000e-02 eta: 19:52:28 time: 0.7739 data_time: 0.0315 memory: 21548 grad_norm: 3.6537 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.4432 loss: 1.4432 2022/08/01 03:51:25 - mmengine - INFO - Epoch(train) [15][420/940] lr: 1.0000e-02 eta: 19:52:20 time: 0.9754 data_time: 0.0407 memory: 21548 grad_norm: 3.7168 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5095 loss: 1.5095 2022/08/01 03:51:44 - mmengine - INFO - Epoch(train) [15][440/940] lr: 1.0000e-02 eta: 19:52:10 time: 0.9571 data_time: 0.0303 memory: 21548 grad_norm: 3.6388 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4410 loss: 1.4410 2022/08/01 03:52:03 - mmengine - INFO - Epoch(train) [15][460/940] lr: 1.0000e-02 eta: 19:52:02 time: 0.9684 data_time: 0.0378 memory: 21548 grad_norm: 3.8041 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.4101 loss: 1.4101 2022/08/01 03:52:30 - mmengine - INFO - Epoch(train) [15][480/940] lr: 1.0000e-02 eta: 19:52:38 time: 1.3461 data_time: 0.0337 memory: 21548 grad_norm: 3.7818 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4524 loss: 1.4524 2022/08/01 03:52:44 - mmengine - INFO - Epoch(train) [15][500/940] lr: 1.0000e-02 eta: 19:51:59 time: 0.7170 data_time: 0.0298 memory: 21548 grad_norm: 3.6686 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.4885 loss: 1.4885 2022/08/01 03:53:06 - mmengine - INFO - Epoch(train) [15][520/940] lr: 1.0000e-02 eta: 19:52:05 time: 1.0923 data_time: 0.0902 memory: 21548 grad_norm: 3.6428 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4810 loss: 1.4810 2022/08/01 03:53:24 - mmengine - INFO - Epoch(train) [15][540/940] lr: 1.0000e-02 eta: 19:51:49 time: 0.8999 data_time: 0.4177 memory: 21548 grad_norm: 3.6775 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4743 loss: 1.4743 2022/08/01 03:53:42 - mmengine - INFO - Epoch(train) [15][560/940] lr: 1.0000e-02 eta: 19:51:29 time: 0.8771 data_time: 0.1731 memory: 21548 grad_norm: 3.7035 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4988 loss: 1.4988 2022/08/01 03:54:02 - mmengine - INFO - Epoch(train) [15][580/940] lr: 1.0000e-02 eta: 19:51:26 time: 1.0123 data_time: 0.3598 memory: 21548 grad_norm: 3.7933 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.5893 loss: 1.5893 2022/08/01 03:54:23 - mmengine - INFO - Epoch(train) [15][600/940] lr: 1.0000e-02 eta: 19:51:28 time: 1.0629 data_time: 0.6406 memory: 21548 grad_norm: 3.6367 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4628 loss: 1.4628 2022/08/01 03:54:42 - mmengine - INFO - Epoch(train) [15][620/940] lr: 1.0000e-02 eta: 19:51:17 time: 0.9513 data_time: 0.5010 memory: 21548 grad_norm: 3.7111 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.6820 loss: 1.6820 2022/08/01 03:55:04 - mmengine - INFO - Epoch(train) [15][640/940] lr: 1.0000e-02 eta: 19:51:24 time: 1.0997 data_time: 0.2348 memory: 21548 grad_norm: 3.6816 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4812 loss: 1.4812 2022/08/01 03:55:21 - mmengine - INFO - Epoch(train) [15][660/940] lr: 1.0000e-02 eta: 19:50:58 time: 0.8210 data_time: 0.0343 memory: 21548 grad_norm: 3.7025 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3715 loss: 1.3715 2022/08/01 03:55:38 - mmengine - INFO - Epoch(train) [15][680/940] lr: 1.0000e-02 eta: 19:50:40 time: 0.8897 data_time: 0.2644 memory: 21548 grad_norm: 3.6855 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5940 loss: 1.5940 2022/08/01 03:55:57 - mmengine - INFO - Epoch(train) [15][700/940] lr: 1.0000e-02 eta: 19:50:25 time: 0.9185 data_time: 0.1983 memory: 21548 grad_norm: 3.8700 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4478 loss: 1.4478 2022/08/01 03:56:20 - mmengine - INFO - Epoch(train) [15][720/940] lr: 1.0000e-02 eta: 19:50:39 time: 1.1670 data_time: 0.1741 memory: 21548 grad_norm: 3.7045 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.4936 loss: 1.4936 2022/08/01 03:56:37 - mmengine - INFO - Epoch(train) [15][740/940] lr: 1.0000e-02 eta: 19:50:13 time: 0.8210 data_time: 0.0358 memory: 21548 grad_norm: 3.7599 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.4604 loss: 1.4604 2022/08/01 03:56:57 - mmengine - INFO - Epoch(train) [15][760/940] lr: 1.0000e-02 eta: 19:50:10 time: 1.0229 data_time: 0.0407 memory: 21548 grad_norm: 3.6847 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4421 loss: 1.4421 2022/08/01 03:57:14 - mmengine - INFO - Epoch(train) [15][780/940] lr: 1.0000e-02 eta: 19:49:46 time: 0.8346 data_time: 0.0327 memory: 21548 grad_norm: 3.6871 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.5006 loss: 1.5006 2022/08/01 03:57:45 - mmengine - INFO - Epoch(train) [15][800/940] lr: 1.0000e-02 eta: 19:50:42 time: 1.5400 data_time: 0.0336 memory: 21548 grad_norm: 3.7423 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6068 loss: 1.6068 2022/08/01 03:58:07 - mmengine - INFO - Epoch(train) [15][820/940] lr: 1.0000e-02 eta: 19:50:53 time: 1.1446 data_time: 0.3226 memory: 21548 grad_norm: 3.7288 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.5064 loss: 1.5064 2022/08/01 03:58:29 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 03:58:29 - mmengine - INFO - Epoch(train) [15][840/940] lr: 1.0000e-02 eta: 19:50:58 time: 1.0856 data_time: 0.4414 memory: 21548 grad_norm: 3.6034 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5225 loss: 1.5225 2022/08/01 03:58:45 - mmengine - INFO - Epoch(train) [15][860/940] lr: 1.0000e-02 eta: 19:50:30 time: 0.8082 data_time: 0.1295 memory: 21548 grad_norm: 3.6996 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4787 loss: 1.4787 2022/08/01 03:59:04 - mmengine - INFO - Epoch(train) [15][880/940] lr: 1.0000e-02 eta: 19:50:19 time: 0.9511 data_time: 0.1118 memory: 21548 grad_norm: 3.8202 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5545 loss: 1.5545 2022/08/01 03:59:24 - mmengine - INFO - Epoch(train) [15][900/940] lr: 1.0000e-02 eta: 19:50:09 time: 0.9621 data_time: 0.4043 memory: 21548 grad_norm: 3.7027 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3685 loss: 1.3685 2022/08/01 03:59:41 - mmengine - INFO - Epoch(train) [15][920/940] lr: 1.0000e-02 eta: 19:49:50 time: 0.8856 data_time: 0.1136 memory: 21548 grad_norm: 3.8159 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3710 loss: 1.3710 2022/08/01 03:59:59 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 03:59:59 - mmengine - INFO - Epoch(train) [15][940/940] lr: 1.0000e-02 eta: 19:49:30 time: 0.8699 data_time: 0.2223 memory: 21548 grad_norm: 3.9177 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.5063 loss: 1.5063 2022/08/01 03:59:59 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/08/01 04:00:30 - mmengine - INFO - Epoch(val) [15][20/78] eta: 0:01:26 time: 1.4969 data_time: 1.3857 memory: 3271 2022/08/01 04:00:43 - mmengine - INFO - Epoch(val) [15][40/78] eta: 0:00:25 time: 0.6782 data_time: 0.5694 memory: 3271 2022/08/01 04:01:13 - mmengine - INFO - Epoch(val) [15][60/78] eta: 0:00:26 time: 1.4666 data_time: 1.3583 memory: 3271 2022/08/01 04:01:54 - mmengine - INFO - Epoch(val) [15][78/78] acc/top1: 0.6528 acc/top5: 0.8652 acc/mean1: 0.6526 2022/08/01 04:02:21 - mmengine - INFO - Epoch(train) [16][20/940] lr: 1.0000e-02 eta: 19:50:03 time: 1.3455 data_time: 0.5952 memory: 21548 grad_norm: 3.6196 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3502 loss: 1.3502 2022/08/01 04:02:44 - mmengine - INFO - Epoch(train) [16][40/940] lr: 1.0000e-02 eta: 19:50:15 time: 1.1630 data_time: 0.0321 memory: 21548 grad_norm: 3.7452 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.4965 loss: 1.4965 2022/08/01 04:03:10 - mmengine - INFO - Epoch(train) [16][60/940] lr: 1.0000e-02 eta: 19:50:46 time: 1.3273 data_time: 0.0312 memory: 21548 grad_norm: 3.6899 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5475 loss: 1.5475 2022/08/01 04:03:29 - mmengine - INFO - Epoch(train) [16][80/940] lr: 1.0000e-02 eta: 19:50:34 time: 0.9445 data_time: 0.0381 memory: 21548 grad_norm: 3.6144 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5423 loss: 1.5423 2022/08/01 04:03:52 - mmengine - INFO - Epoch(train) [16][100/940] lr: 1.0000e-02 eta: 19:50:43 time: 1.1336 data_time: 0.0389 memory: 21548 grad_norm: 3.6218 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.4371 loss: 1.4371 2022/08/01 04:04:08 - mmengine - INFO - Epoch(train) [16][120/940] lr: 1.0000e-02 eta: 19:50:13 time: 0.7896 data_time: 0.0342 memory: 21548 grad_norm: 3.6575 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4186 loss: 1.4186 2022/08/01 04:04:27 - mmengine - INFO - Epoch(train) [16][140/940] lr: 1.0000e-02 eta: 19:50:02 time: 0.9526 data_time: 0.0329 memory: 21548 grad_norm: 3.5160 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4003 loss: 1.4003 2022/08/01 04:04:45 - mmengine - INFO - Epoch(train) [16][160/940] lr: 1.0000e-02 eta: 19:49:43 time: 0.8901 data_time: 0.0518 memory: 21548 grad_norm: 3.6246 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3625 loss: 1.3625 2022/08/01 04:05:03 - mmengine - INFO - Epoch(train) [16][180/940] lr: 1.0000e-02 eta: 19:49:26 time: 0.9003 data_time: 0.0328 memory: 21548 grad_norm: 3.6655 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4799 loss: 1.4799 2022/08/01 04:05:20 - mmengine - INFO - Epoch(train) [16][200/940] lr: 1.0000e-02 eta: 19:49:03 time: 0.8465 data_time: 0.0511 memory: 21548 grad_norm: 3.7076 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.4636 loss: 1.4636 2022/08/01 04:05:40 - mmengine - INFO - Epoch(train) [16][220/940] lr: 1.0000e-02 eta: 19:49:01 time: 1.0388 data_time: 0.0341 memory: 21548 grad_norm: 3.7008 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2686 loss: 1.2686 2022/08/01 04:05:56 - mmengine - INFO - Epoch(train) [16][240/940] lr: 1.0000e-02 eta: 19:48:29 time: 0.7711 data_time: 0.0408 memory: 21548 grad_norm: 3.7323 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3884 loss: 1.3884 2022/08/01 04:06:16 - mmengine - INFO - Epoch(train) [16][260/940] lr: 1.0000e-02 eta: 19:48:22 time: 0.9989 data_time: 0.0350 memory: 21548 grad_norm: 3.7165 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4392 loss: 1.4392 2022/08/01 04:06:34 - mmengine - INFO - Epoch(train) [16][280/940] lr: 1.0000e-02 eta: 19:48:04 time: 0.8869 data_time: 0.0448 memory: 21548 grad_norm: 3.7764 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.5606 loss: 1.5606 2022/08/01 04:06:55 - mmengine - INFO - Epoch(train) [16][300/940] lr: 1.0000e-02 eta: 19:48:03 time: 1.0527 data_time: 0.0323 memory: 21548 grad_norm: 3.6389 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4655 loss: 1.4655 2022/08/01 04:07:11 - mmengine - INFO - Epoch(train) [16][320/940] lr: 1.0000e-02 eta: 19:47:35 time: 0.8022 data_time: 0.0461 memory: 21548 grad_norm: 3.6458 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5307 loss: 1.5307 2022/08/01 04:07:30 - mmengine - INFO - Epoch(train) [16][340/940] lr: 1.0000e-02 eta: 19:47:22 time: 0.9437 data_time: 0.0321 memory: 21548 grad_norm: 3.6713 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4187 loss: 1.4187 2022/08/01 04:07:46 - mmengine - INFO - Epoch(train) [16][360/940] lr: 1.0000e-02 eta: 19:46:57 time: 0.8272 data_time: 0.0365 memory: 21548 grad_norm: 3.7276 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3318 loss: 1.3318 2022/08/01 04:08:05 - mmengine - INFO - Epoch(train) [16][380/940] lr: 1.0000e-02 eta: 19:46:44 time: 0.9379 data_time: 0.0344 memory: 21548 grad_norm: 3.7203 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.4533 loss: 1.4533 2022/08/01 04:08:24 - mmengine - INFO - Epoch(train) [16][400/940] lr: 1.0000e-02 eta: 19:46:30 time: 0.9362 data_time: 0.0365 memory: 21548 grad_norm: 3.7214 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5105 loss: 1.5105 2022/08/01 04:08:42 - mmengine - INFO - Epoch(train) [16][420/940] lr: 1.0000e-02 eta: 19:46:15 time: 0.9234 data_time: 0.0294 memory: 21548 grad_norm: 3.7055 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4754 loss: 1.4754 2022/08/01 04:09:04 - mmengine - INFO - Epoch(train) [16][440/940] lr: 1.0000e-02 eta: 19:46:21 time: 1.1129 data_time: 0.0363 memory: 21548 grad_norm: 3.7125 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4813 loss: 1.4813 2022/08/01 04:09:21 - mmengine - INFO - Epoch(train) [16][460/940] lr: 1.0000e-02 eta: 19:45:56 time: 0.8274 data_time: 0.0436 memory: 21548 grad_norm: 3.7084 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3957 loss: 1.3957 2022/08/01 04:09:43 - mmengine - INFO - Epoch(train) [16][480/940] lr: 1.0000e-02 eta: 19:46:02 time: 1.1195 data_time: 0.0314 memory: 21548 grad_norm: 3.7168 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4355 loss: 1.4355 2022/08/01 04:10:02 - mmengine - INFO - Epoch(train) [16][500/940] lr: 1.0000e-02 eta: 19:45:50 time: 0.9457 data_time: 0.0371 memory: 21548 grad_norm: 3.7547 top1_acc: 0.5625 top5_acc: 0.9688 loss_cls: 1.5054 loss: 1.5054 2022/08/01 04:10:18 - mmengine - INFO - Epoch(train) [16][520/940] lr: 1.0000e-02 eta: 19:45:20 time: 0.7863 data_time: 0.0381 memory: 21548 grad_norm: 3.7027 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.5132 loss: 1.5132 2022/08/01 04:10:37 - mmengine - INFO - Epoch(train) [16][540/940] lr: 1.0000e-02 eta: 19:45:07 time: 0.9459 data_time: 0.0326 memory: 21548 grad_norm: 3.7150 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4735 loss: 1.4735 2022/08/01 04:10:59 - mmengine - INFO - Epoch(train) [16][560/940] lr: 1.0000e-02 eta: 19:45:11 time: 1.0925 data_time: 0.0498 memory: 21548 grad_norm: 3.7255 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4111 loss: 1.4111 2022/08/01 04:11:24 - mmengine - INFO - Epoch(train) [16][580/940] lr: 1.0000e-02 eta: 19:45:30 time: 1.2388 data_time: 0.0289 memory: 21548 grad_norm: 3.7850 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.4925 loss: 1.4925 2022/08/01 04:11:39 - mmengine - INFO - Epoch(train) [16][600/940] lr: 1.0000e-02 eta: 19:44:59 time: 0.7731 data_time: 0.0441 memory: 21548 grad_norm: 3.7011 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3963 loss: 1.3963 2022/08/01 04:12:00 - mmengine - INFO - Epoch(train) [16][620/940] lr: 1.0000e-02 eta: 19:44:56 time: 1.0374 data_time: 0.0333 memory: 21548 grad_norm: 3.7126 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5419 loss: 1.5419 2022/08/01 04:12:13 - mmengine - INFO - Epoch(train) [16][640/940] lr: 1.0000e-02 eta: 19:44:15 time: 0.6823 data_time: 0.0337 memory: 21548 grad_norm: 3.7702 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4109 loss: 1.4109 2022/08/01 04:12:35 - mmengine - INFO - Epoch(train) [16][660/940] lr: 1.0000e-02 eta: 19:44:16 time: 1.0759 data_time: 0.0374 memory: 21548 grad_norm: 3.6899 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5597 loss: 1.5597 2022/08/01 04:12:53 - mmengine - INFO - Epoch(train) [16][680/940] lr: 1.0000e-02 eta: 19:43:57 time: 0.8821 data_time: 0.0306 memory: 21548 grad_norm: 3.7703 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.4462 loss: 1.4462 2022/08/01 04:13:11 - mmengine - INFO - Epoch(train) [16][700/940] lr: 1.0000e-02 eta: 19:43:41 time: 0.9206 data_time: 0.0843 memory: 21548 grad_norm: 3.7540 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4098 loss: 1.4098 2022/08/01 04:13:38 - mmengine - INFO - Epoch(train) [16][720/940] lr: 1.0000e-02 eta: 19:44:13 time: 1.3616 data_time: 0.0282 memory: 21548 grad_norm: 3.7157 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4985 loss: 1.4985 2022/08/01 04:13:56 - mmengine - INFO - Epoch(train) [16][740/940] lr: 1.0000e-02 eta: 19:43:53 time: 0.8756 data_time: 0.0307 memory: 21548 grad_norm: 3.7580 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5749 loss: 1.5749 2022/08/01 04:14:16 - mmengine - INFO - Epoch(train) [16][760/940] lr: 1.0000e-02 eta: 19:43:48 time: 1.0212 data_time: 0.0368 memory: 21548 grad_norm: 3.7874 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.4362 loss: 1.4362 2022/08/01 04:14:32 - mmengine - INFO - Epoch(train) [16][780/940] lr: 1.0000e-02 eta: 19:43:20 time: 0.8061 data_time: 0.0356 memory: 21548 grad_norm: 3.7350 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3240 loss: 1.3240 2022/08/01 04:14:53 - mmengine - INFO - Epoch(train) [16][800/940] lr: 1.0000e-02 eta: 19:43:15 time: 1.0185 data_time: 0.0339 memory: 21548 grad_norm: 3.6857 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4749 loss: 1.4749 2022/08/01 04:15:07 - mmengine - INFO - Epoch(train) [16][820/940] lr: 1.0000e-02 eta: 19:42:39 time: 0.7252 data_time: 0.0379 memory: 21548 grad_norm: 3.7215 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.5629 loss: 1.5629 2022/08/01 04:15:25 - mmengine - INFO - Epoch(train) [16][840/940] lr: 1.0000e-02 eta: 19:42:18 time: 0.8718 data_time: 0.0373 memory: 21548 grad_norm: 3.7771 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6110 loss: 1.6110 2022/08/01 04:15:44 - mmengine - INFO - Epoch(train) [16][860/940] lr: 1.0000e-02 eta: 19:42:07 time: 0.9590 data_time: 0.0640 memory: 21548 grad_norm: 3.8038 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5706 loss: 1.5706 2022/08/01 04:16:02 - mmengine - INFO - Epoch(train) [16][880/940] lr: 1.0000e-02 eta: 19:41:50 time: 0.9070 data_time: 0.1047 memory: 21548 grad_norm: 3.7499 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3518 loss: 1.3518 2022/08/01 04:16:22 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 04:16:22 - mmengine - INFO - Epoch(train) [16][900/940] lr: 1.0000e-02 eta: 19:41:45 time: 1.0204 data_time: 0.4456 memory: 21548 grad_norm: 3.7572 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3895 loss: 1.3895 2022/08/01 04:16:41 - mmengine - INFO - Epoch(train) [16][920/940] lr: 1.0000e-02 eta: 19:41:30 time: 0.9226 data_time: 0.1332 memory: 21548 grad_norm: 3.6955 top1_acc: 0.5625 top5_acc: 0.9688 loss_cls: 1.6102 loss: 1.6102 2022/08/01 04:16:57 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 04:16:57 - mmengine - INFO - Epoch(train) [16][940/940] lr: 1.0000e-02 eta: 19:41:05 time: 0.8298 data_time: 0.0320 memory: 21548 grad_norm: 3.8674 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.4558 loss: 1.4558 2022/08/01 04:17:32 - mmengine - INFO - Epoch(val) [16][20/78] eta: 0:01:41 time: 1.7565 data_time: 1.6435 memory: 3271 2022/08/01 04:17:49 - mmengine - INFO - Epoch(val) [16][40/78] eta: 0:00:31 time: 0.8412 data_time: 0.7306 memory: 3271 2022/08/01 04:18:13 - mmengine - INFO - Epoch(val) [16][60/78] eta: 0:00:20 time: 1.1600 data_time: 1.0505 memory: 3271 2022/08/01 04:18:29 - mmengine - INFO - Epoch(val) [16][78/78] acc/top1: 0.6629 acc/top5: 0.8733 acc/mean1: 0.6629 2022/08/01 04:18:29 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_15.pth is removed 2022/08/01 04:18:30 - mmengine - INFO - The best checkpoint with 0.6629 acc/top1 at 17 epoch is saved to best_acc/top1_epoch_17.pth. 2022/08/01 04:18:56 - mmengine - INFO - Epoch(train) [17][20/940] lr: 1.0000e-02 eta: 19:41:24 time: 1.2557 data_time: 0.3333 memory: 21548 grad_norm: 3.6080 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.3847 loss: 1.3847 2022/08/01 04:19:14 - mmengine - INFO - Epoch(train) [17][40/940] lr: 1.0000e-02 eta: 19:41:08 time: 0.9113 data_time: 0.0832 memory: 21548 grad_norm: 3.6694 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.3279 loss: 1.3279 2022/08/01 04:19:35 - mmengine - INFO - Epoch(train) [17][60/940] lr: 1.0000e-02 eta: 19:41:07 time: 1.0622 data_time: 0.0330 memory: 21548 grad_norm: 3.6715 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2857 loss: 1.2857 2022/08/01 04:19:52 - mmengine - INFO - Epoch(train) [17][80/940] lr: 1.0000e-02 eta: 19:40:43 time: 0.8412 data_time: 0.0375 memory: 21548 grad_norm: 3.7908 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.4511 loss: 1.4511 2022/08/01 04:20:13 - mmengine - INFO - Epoch(train) [17][100/940] lr: 1.0000e-02 eta: 19:40:44 time: 1.0822 data_time: 0.1424 memory: 21548 grad_norm: 3.7388 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 1.4050 loss: 1.4050 2022/08/01 04:20:29 - mmengine - INFO - Epoch(train) [17][120/940] lr: 1.0000e-02 eta: 19:40:14 time: 0.7829 data_time: 0.0611 memory: 21548 grad_norm: 3.6752 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.3922 loss: 1.3922 2022/08/01 04:20:53 - mmengine - INFO - Epoch(train) [17][140/940] lr: 1.0000e-02 eta: 19:40:25 time: 1.1707 data_time: 0.0317 memory: 21548 grad_norm: 3.6640 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.2979 loss: 1.2979 2022/08/01 04:21:09 - mmengine - INFO - Epoch(train) [17][160/940] lr: 1.0000e-02 eta: 19:39:58 time: 0.8196 data_time: 0.1228 memory: 21548 grad_norm: 3.7464 top1_acc: 0.5938 top5_acc: 0.9688 loss_cls: 1.4103 loss: 1.4103 2022/08/01 04:21:27 - mmengine - INFO - Epoch(train) [17][180/940] lr: 1.0000e-02 eta: 19:39:38 time: 0.8761 data_time: 0.1317 memory: 21548 grad_norm: 3.7553 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4989 loss: 1.4989 2022/08/01 04:21:46 - mmengine - INFO - Epoch(train) [17][200/940] lr: 1.0000e-02 eta: 19:39:27 time: 0.9646 data_time: 0.1710 memory: 21548 grad_norm: 3.8402 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.5245 loss: 1.5245 2022/08/01 04:22:02 - mmengine - INFO - Epoch(train) [17][220/940] lr: 1.0000e-02 eta: 19:39:01 time: 0.8207 data_time: 0.0816 memory: 21548 grad_norm: 3.7209 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3242 loss: 1.3242 2022/08/01 04:22:24 - mmengine - INFO - Epoch(train) [17][240/940] lr: 1.0000e-02 eta: 19:39:05 time: 1.1097 data_time: 0.1275 memory: 21548 grad_norm: 3.7313 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5345 loss: 1.5345 2022/08/01 04:22:44 - mmengine - INFO - Epoch(train) [17][260/940] lr: 1.0000e-02 eta: 19:38:55 time: 0.9734 data_time: 0.2396 memory: 21548 grad_norm: 3.6870 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4291 loss: 1.4291 2022/08/01 04:23:02 - mmengine - INFO - Epoch(train) [17][280/940] lr: 1.0000e-02 eta: 19:38:39 time: 0.9194 data_time: 0.0508 memory: 21548 grad_norm: 3.6000 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4812 loss: 1.4812 2022/08/01 04:23:26 - mmengine - INFO - Epoch(train) [17][300/940] lr: 1.0000e-02 eta: 19:38:52 time: 1.2061 data_time: 0.0371 memory: 21548 grad_norm: 3.6964 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.5300 loss: 1.5300 2022/08/01 04:23:48 - mmengine - INFO - Epoch(train) [17][320/940] lr: 1.0000e-02 eta: 19:38:51 time: 1.0614 data_time: 0.0276 memory: 21548 grad_norm: 3.7441 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3617 loss: 1.3617 2022/08/01 04:24:07 - mmengine - INFO - Epoch(train) [17][340/940] lr: 1.0000e-02 eta: 19:38:40 time: 0.9722 data_time: 0.0415 memory: 21548 grad_norm: 3.5472 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3636 loss: 1.3636 2022/08/01 04:24:28 - mmengine - INFO - Epoch(train) [17][360/940] lr: 1.0000e-02 eta: 19:38:38 time: 1.0508 data_time: 0.3448 memory: 21548 grad_norm: 3.6355 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4368 loss: 1.4368 2022/08/01 04:24:46 - mmengine - INFO - Epoch(train) [17][380/940] lr: 1.0000e-02 eta: 19:38:21 time: 0.9117 data_time: 0.4362 memory: 21548 grad_norm: 3.7444 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.5056 loss: 1.5056 2022/08/01 04:25:10 - mmengine - INFO - Epoch(train) [17][400/940] lr: 1.0000e-02 eta: 19:38:32 time: 1.1833 data_time: 0.5391 memory: 21548 grad_norm: 3.7689 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4157 loss: 1.4157 2022/08/01 04:25:25 - mmengine - INFO - Epoch(train) [17][420/940] lr: 1.0000e-02 eta: 19:38:00 time: 0.7645 data_time: 0.0998 memory: 21548 grad_norm: 3.8841 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.6443 loss: 1.6443 2022/08/01 04:25:45 - mmengine - INFO - Epoch(train) [17][440/940] lr: 1.0000e-02 eta: 19:37:50 time: 0.9765 data_time: 0.1749 memory: 21548 grad_norm: 3.8612 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.3707 loss: 1.3707 2022/08/01 04:26:02 - mmengine - INFO - Epoch(train) [17][460/940] lr: 1.0000e-02 eta: 19:37:28 time: 0.8673 data_time: 0.2611 memory: 21548 grad_norm: 3.7694 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3628 loss: 1.3628 2022/08/01 04:26:26 - mmengine - INFO - Epoch(train) [17][480/940] lr: 1.0000e-02 eta: 19:37:42 time: 1.2093 data_time: 0.7533 memory: 21548 grad_norm: 3.7666 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4528 loss: 1.4528 2022/08/01 04:26:47 - mmengine - INFO - Epoch(train) [17][500/940] lr: 1.0000e-02 eta: 19:37:38 time: 1.0399 data_time: 0.1398 memory: 21548 grad_norm: 3.7855 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3423 loss: 1.3423 2022/08/01 04:27:21 - mmengine - INFO - Epoch(train) [17][520/940] lr: 1.0000e-02 eta: 19:38:40 time: 1.6922 data_time: 0.0317 memory: 21548 grad_norm: 3.7542 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3280 loss: 1.3280 2022/08/01 04:27:37 - mmengine - INFO - Epoch(train) [17][540/940] lr: 1.0000e-02 eta: 19:38:12 time: 0.8066 data_time: 0.0295 memory: 21548 grad_norm: 3.6591 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.3960 loss: 1.3960 2022/08/01 04:28:00 - mmengine - INFO - Epoch(train) [17][560/940] lr: 1.0000e-02 eta: 19:38:18 time: 1.1438 data_time: 0.0413 memory: 21548 grad_norm: 3.7597 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3445 loss: 1.3445 2022/08/01 04:28:20 - mmengine - INFO - Epoch(train) [17][580/940] lr: 1.0000e-02 eta: 19:38:08 time: 0.9824 data_time: 0.0323 memory: 21548 grad_norm: 3.7480 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3682 loss: 1.3682 2022/08/01 04:28:37 - mmengine - INFO - Epoch(train) [17][600/940] lr: 1.0000e-02 eta: 19:37:50 time: 0.8937 data_time: 0.0372 memory: 21548 grad_norm: 3.7842 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.4755 loss: 1.4755 2022/08/01 04:28:58 - mmengine - INFO - Epoch(train) [17][620/940] lr: 1.0000e-02 eta: 19:37:46 time: 1.0503 data_time: 0.0301 memory: 21548 grad_norm: 3.7759 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5202 loss: 1.5202 2022/08/01 04:29:28 - mmengine - INFO - Epoch(train) [17][640/940] lr: 1.0000e-02 eta: 19:38:23 time: 1.4534 data_time: 0.0593 memory: 21548 grad_norm: 3.7640 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5919 loss: 1.5919 2022/08/01 04:29:45 - mmengine - INFO - Epoch(train) [17][660/940] lr: 1.0000e-02 eta: 19:38:01 time: 0.8638 data_time: 0.2053 memory: 21548 grad_norm: 3.7584 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4436 loss: 1.4436 2022/08/01 04:30:07 - mmengine - INFO - Epoch(train) [17][680/940] lr: 1.0000e-02 eta: 19:38:05 time: 1.1153 data_time: 0.2300 memory: 21548 grad_norm: 3.7368 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4952 loss: 1.4952 2022/08/01 04:30:31 - mmengine - INFO - Epoch(train) [17][700/940] lr: 1.0000e-02 eta: 19:38:17 time: 1.2099 data_time: 0.7852 memory: 21548 grad_norm: 3.7989 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4568 loss: 1.4568 2022/08/01 04:30:49 - mmengine - INFO - Epoch(train) [17][720/940] lr: 1.0000e-02 eta: 19:37:59 time: 0.9052 data_time: 0.3070 memory: 21548 grad_norm: 3.7759 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3796 loss: 1.3796 2022/08/01 04:31:11 - mmengine - INFO - Epoch(train) [17][740/940] lr: 1.0000e-02 eta: 19:37:57 time: 1.0623 data_time: 0.2077 memory: 21548 grad_norm: 3.7508 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.3539 loss: 1.3539 2022/08/01 04:31:31 - mmengine - INFO - Epoch(train) [17][760/940] lr: 1.0000e-02 eta: 19:37:52 time: 1.0383 data_time: 0.1490 memory: 21548 grad_norm: 3.7705 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.5663 loss: 1.5663 2022/08/01 04:31:50 - mmengine - INFO - Epoch(train) [17][780/940] lr: 1.0000e-02 eta: 19:37:36 time: 0.9267 data_time: 0.0397 memory: 21548 grad_norm: 3.8430 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4622 loss: 1.4622 2022/08/01 04:32:06 - mmengine - INFO - Epoch(train) [17][800/940] lr: 1.0000e-02 eta: 19:37:10 time: 0.8214 data_time: 0.0342 memory: 21548 grad_norm: 3.8071 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3588 loss: 1.3588 2022/08/01 04:32:30 - mmengine - INFO - Epoch(train) [17][820/940] lr: 1.0000e-02 eta: 19:37:17 time: 1.1544 data_time: 0.0464 memory: 21548 grad_norm: 3.8207 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4677 loss: 1.4677 2022/08/01 04:32:45 - mmengine - INFO - Epoch(train) [17][840/940] lr: 1.0000e-02 eta: 19:36:48 time: 0.7973 data_time: 0.0366 memory: 21548 grad_norm: 3.7607 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.4944 loss: 1.4944 2022/08/01 04:33:04 - mmengine - INFO - Epoch(train) [17][860/940] lr: 1.0000e-02 eta: 19:36:34 time: 0.9405 data_time: 0.0383 memory: 21548 grad_norm: 3.6829 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3856 loss: 1.3856 2022/08/01 04:33:22 - mmengine - INFO - Epoch(train) [17][880/940] lr: 1.0000e-02 eta: 19:36:12 time: 0.8659 data_time: 0.1202 memory: 21548 grad_norm: 3.7817 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3195 loss: 1.3195 2022/08/01 04:33:40 - mmengine - INFO - Epoch(train) [17][900/940] lr: 1.0000e-02 eta: 19:35:56 time: 0.9301 data_time: 0.2806 memory: 21548 grad_norm: 3.7549 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4159 loss: 1.4159 2022/08/01 04:34:00 - mmengine - INFO - Epoch(train) [17][920/940] lr: 1.0000e-02 eta: 19:35:49 time: 1.0136 data_time: 0.2720 memory: 21548 grad_norm: 3.7241 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3508 loss: 1.3508 2022/08/01 04:34:16 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 04:34:16 - mmengine - INFO - Epoch(train) [17][940/940] lr: 1.0000e-02 eta: 19:35:19 time: 0.7823 data_time: 0.1990 memory: 21548 grad_norm: 3.9824 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.5396 loss: 1.5396 2022/08/01 04:34:46 - mmengine - INFO - Epoch(val) [17][20/78] eta: 0:01:26 time: 1.4895 data_time: 1.3755 memory: 3271 2022/08/01 04:35:13 - mmengine - INFO - Epoch(val) [17][40/78] eta: 0:00:51 time: 1.3601 data_time: 1.2495 memory: 3271 2022/08/01 04:35:37 - mmengine - INFO - Epoch(val) [17][60/78] eta: 0:00:21 time: 1.2126 data_time: 1.0986 memory: 3271 2022/08/01 04:36:02 - mmengine - INFO - Epoch(val) [17][78/78] acc/top1: 0.6686 acc/top5: 0.8783 acc/mean1: 0.6686 2022/08/01 04:36:03 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_17.pth is removed 2022/08/01 04:36:04 - mmengine - INFO - The best checkpoint with 0.6686 acc/top1 at 18 epoch is saved to best_acc/top1_epoch_18.pth. 2022/08/01 04:36:27 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 04:36:27 - mmengine - INFO - Epoch(train) [18][20/940] lr: 1.0000e-02 eta: 19:35:23 time: 1.1334 data_time: 0.7221 memory: 21548 grad_norm: 3.6600 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4682 loss: 1.4682 2022/08/01 04:36:46 - mmengine - INFO - Epoch(train) [18][40/940] lr: 1.0000e-02 eta: 19:35:13 time: 0.9873 data_time: 0.4988 memory: 21548 grad_norm: 3.7540 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4432 loss: 1.4432 2022/08/01 04:37:05 - mmengine - INFO - Epoch(train) [18][60/940] lr: 1.0000e-02 eta: 19:34:58 time: 0.9320 data_time: 0.4961 memory: 21548 grad_norm: 3.6131 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.2642 loss: 1.2642 2022/08/01 04:37:24 - mmengine - INFO - Epoch(train) [18][80/940] lr: 1.0000e-02 eta: 19:34:46 time: 0.9643 data_time: 0.4723 memory: 21548 grad_norm: 3.6118 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2950 loss: 1.2950 2022/08/01 04:37:45 - mmengine - INFO - Epoch(train) [18][100/940] lr: 1.0000e-02 eta: 19:34:41 time: 1.0373 data_time: 0.3292 memory: 21548 grad_norm: 3.7241 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3886 loss: 1.3886 2022/08/01 04:38:02 - mmengine - INFO - Epoch(train) [18][120/940] lr: 1.0000e-02 eta: 19:34:16 time: 0.8362 data_time: 0.2853 memory: 21548 grad_norm: 3.7483 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.4373 loss: 1.4373 2022/08/01 04:38:19 - mmengine - INFO - Epoch(train) [18][140/940] lr: 1.0000e-02 eta: 19:33:56 time: 0.8842 data_time: 0.4553 memory: 21548 grad_norm: 3.7712 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2326 loss: 1.2326 2022/08/01 04:38:36 - mmengine - INFO - Epoch(train) [18][160/940] lr: 1.0000e-02 eta: 19:33:29 time: 0.8193 data_time: 0.2602 memory: 21548 grad_norm: 3.6478 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3097 loss: 1.3097 2022/08/01 04:38:54 - mmengine - INFO - Epoch(train) [18][180/940] lr: 1.0000e-02 eta: 19:33:12 time: 0.9087 data_time: 0.2040 memory: 21548 grad_norm: 3.8171 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4572 loss: 1.4572 2022/08/01 04:39:12 - mmengine - INFO - Epoch(train) [18][200/940] lr: 1.0000e-02 eta: 19:32:53 time: 0.8936 data_time: 0.0990 memory: 21548 grad_norm: 3.7887 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4361 loss: 1.4361 2022/08/01 04:39:31 - mmengine - INFO - Epoch(train) [18][220/940] lr: 1.0000e-02 eta: 19:32:40 time: 0.9620 data_time: 0.2818 memory: 21548 grad_norm: 3.7511 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.3927 loss: 1.3927 2022/08/01 04:39:48 - mmengine - INFO - Epoch(train) [18][240/940] lr: 1.0000e-02 eta: 19:32:17 time: 0.8544 data_time: 0.1534 memory: 21548 grad_norm: 3.7662 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.4248 loss: 1.4248 2022/08/01 04:40:07 - mmengine - INFO - Epoch(train) [18][260/940] lr: 1.0000e-02 eta: 19:32:02 time: 0.9292 data_time: 0.4209 memory: 21548 grad_norm: 3.7849 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3940 loss: 1.3940 2022/08/01 04:40:29 - mmengine - INFO - Epoch(train) [18][280/940] lr: 1.0000e-02 eta: 19:32:05 time: 1.1336 data_time: 0.0348 memory: 21548 grad_norm: 3.7387 top1_acc: 0.4062 top5_acc: 0.8438 loss_cls: 1.4058 loss: 1.4058 2022/08/01 04:40:45 - mmengine - INFO - Epoch(train) [18][300/940] lr: 1.0000e-02 eta: 19:31:35 time: 0.7777 data_time: 0.0369 memory: 21548 grad_norm: 3.7847 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3794 loss: 1.3794 2022/08/01 04:41:05 - mmengine - INFO - Epoch(train) [18][320/940] lr: 1.0000e-02 eta: 19:31:26 time: 0.9983 data_time: 0.0365 memory: 21548 grad_norm: 3.8011 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.3313 loss: 1.3313 2022/08/01 04:41:22 - mmengine - INFO - Epoch(train) [18][340/940] lr: 1.0000e-02 eta: 19:31:03 time: 0.8495 data_time: 0.0376 memory: 21548 grad_norm: 3.7056 top1_acc: 0.7500 top5_acc: 0.7812 loss_cls: 1.3805 loss: 1.3805 2022/08/01 04:41:40 - mmengine - INFO - Epoch(train) [18][360/940] lr: 1.0000e-02 eta: 19:30:42 time: 0.8769 data_time: 0.0674 memory: 21548 grad_norm: 3.7947 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.4645 loss: 1.4645 2022/08/01 04:41:57 - mmengine - INFO - Epoch(train) [18][380/940] lr: 1.0000e-02 eta: 19:30:22 time: 0.8866 data_time: 0.1006 memory: 21548 grad_norm: 3.7957 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3090 loss: 1.3090 2022/08/01 04:42:18 - mmengine - INFO - Epoch(train) [18][400/940] lr: 1.0000e-02 eta: 19:30:16 time: 1.0263 data_time: 0.1526 memory: 21548 grad_norm: 3.7902 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4863 loss: 1.4863 2022/08/01 04:42:36 - mmengine - INFO - Epoch(train) [18][420/940] lr: 1.0000e-02 eta: 19:29:59 time: 0.9200 data_time: 0.0362 memory: 21548 grad_norm: 3.7656 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3889 loss: 1.3889 2022/08/01 04:42:59 - mmengine - INFO - Epoch(train) [18][440/940] lr: 1.0000e-02 eta: 19:30:02 time: 1.1272 data_time: 0.1020 memory: 21548 grad_norm: 3.8160 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.3999 loss: 1.3999 2022/08/01 04:43:16 - mmengine - INFO - Epoch(train) [18][460/940] lr: 1.0000e-02 eta: 19:29:41 time: 0.8734 data_time: 0.0333 memory: 21548 grad_norm: 3.7902 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.3665 loss: 1.3665 2022/08/01 04:43:38 - mmengine - INFO - Epoch(train) [18][480/940] lr: 1.0000e-02 eta: 19:29:41 time: 1.0932 data_time: 0.0351 memory: 21548 grad_norm: 3.8049 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.3503 loss: 1.3503 2022/08/01 04:43:58 - mmengine - INFO - Epoch(train) [18][500/940] lr: 1.0000e-02 eta: 19:29:31 time: 0.9965 data_time: 0.0384 memory: 21548 grad_norm: 3.7555 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3611 loss: 1.3611 2022/08/01 04:44:17 - mmengine - INFO - Epoch(train) [18][520/940] lr: 1.0000e-02 eta: 19:29:18 time: 0.9556 data_time: 0.0395 memory: 21548 grad_norm: 3.8051 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.4324 loss: 1.4324 2022/08/01 04:44:37 - mmengine - INFO - Epoch(train) [18][540/940] lr: 1.0000e-02 eta: 19:29:06 time: 0.9712 data_time: 0.0386 memory: 21548 grad_norm: 3.7375 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3537 loss: 1.3537 2022/08/01 04:44:55 - mmengine - INFO - Epoch(train) [18][560/940] lr: 1.0000e-02 eta: 19:28:51 time: 0.9458 data_time: 0.0420 memory: 21548 grad_norm: 3.8073 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4777 loss: 1.4777 2022/08/01 04:45:11 - mmengine - INFO - Epoch(train) [18][580/940] lr: 1.0000e-02 eta: 19:28:22 time: 0.7812 data_time: 0.0320 memory: 21548 grad_norm: 3.8384 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5232 loss: 1.5232 2022/08/01 04:45:30 - mmengine - INFO - Epoch(train) [18][600/940] lr: 1.0000e-02 eta: 19:28:06 time: 0.9320 data_time: 0.0470 memory: 21548 grad_norm: 3.8225 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5786 loss: 1.5786 2022/08/01 04:45:48 - mmengine - INFO - Epoch(train) [18][620/940] lr: 1.0000e-02 eta: 19:27:49 time: 0.9139 data_time: 0.0389 memory: 21548 grad_norm: 3.7729 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2954 loss: 1.2954 2022/08/01 04:46:06 - mmengine - INFO - Epoch(train) [18][640/940] lr: 1.0000e-02 eta: 19:27:28 time: 0.8816 data_time: 0.0389 memory: 21548 grad_norm: 3.7505 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.4189 loss: 1.4189 2022/08/01 04:46:26 - mmengine - INFO - Epoch(train) [18][660/940] lr: 1.0000e-02 eta: 19:27:20 time: 1.0092 data_time: 0.0408 memory: 21548 grad_norm: 3.7775 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4785 loss: 1.4785 2022/08/01 04:46:40 - mmengine - INFO - Epoch(train) [18][680/940] lr: 1.0000e-02 eta: 19:26:44 time: 0.7164 data_time: 0.0420 memory: 21548 grad_norm: 3.7973 top1_acc: 0.6562 top5_acc: 1.0000 loss_cls: 1.4157 loss: 1.4157 2022/08/01 04:46:59 - mmengine - INFO - Epoch(train) [18][700/940] lr: 1.0000e-02 eta: 19:26:30 time: 0.9504 data_time: 0.0382 memory: 21548 grad_norm: 3.7776 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3568 loss: 1.3568 2022/08/01 04:47:14 - mmengine - INFO - Epoch(train) [18][720/940] lr: 1.0000e-02 eta: 19:25:56 time: 0.7238 data_time: 0.0442 memory: 21548 grad_norm: 3.7606 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2600 loss: 1.2600 2022/08/01 04:47:35 - mmengine - INFO - Epoch(train) [18][740/940] lr: 1.0000e-02 eta: 19:25:54 time: 1.0885 data_time: 0.0448 memory: 21548 grad_norm: 3.7356 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2901 loss: 1.2901 2022/08/01 04:47:51 - mmengine - INFO - Epoch(train) [18][760/940] lr: 1.0000e-02 eta: 19:25:25 time: 0.7866 data_time: 0.0372 memory: 21548 grad_norm: 3.7478 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4603 loss: 1.4603 2022/08/01 04:48:13 - mmengine - INFO - Epoch(train) [18][780/940] lr: 1.0000e-02 eta: 19:25:23 time: 1.0793 data_time: 0.0384 memory: 21548 grad_norm: 3.7753 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4982 loss: 1.4982 2022/08/01 04:48:33 - mmengine - INFO - Epoch(train) [18][800/940] lr: 1.0000e-02 eta: 19:25:15 time: 1.0128 data_time: 0.0425 memory: 21548 grad_norm: 3.7071 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4277 loss: 1.4277 2022/08/01 04:48:54 - mmengine - INFO - Epoch(train) [18][820/940] lr: 1.0000e-02 eta: 19:25:09 time: 1.0398 data_time: 0.1983 memory: 21548 grad_norm: 3.8590 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3817 loss: 1.3817 2022/08/01 04:49:15 - mmengine - INFO - Epoch(train) [18][840/940] lr: 1.0000e-02 eta: 19:25:03 time: 1.0373 data_time: 0.1539 memory: 21548 grad_norm: 3.7636 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5687 loss: 1.5687 2022/08/01 04:49:32 - mmengine - INFO - Epoch(train) [18][860/940] lr: 1.0000e-02 eta: 19:24:42 time: 0.8703 data_time: 0.0379 memory: 21548 grad_norm: 3.7890 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.3677 loss: 1.3677 2022/08/01 04:49:50 - mmengine - INFO - Epoch(train) [18][880/940] lr: 1.0000e-02 eta: 19:24:22 time: 0.8812 data_time: 0.2026 memory: 21548 grad_norm: 3.7143 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3119 loss: 1.3119 2022/08/01 04:50:08 - mmengine - INFO - Epoch(train) [18][900/940] lr: 1.0000e-02 eta: 19:24:06 time: 0.9352 data_time: 0.3955 memory: 21548 grad_norm: 3.8040 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4569 loss: 1.4569 2022/08/01 04:50:26 - mmengine - INFO - Epoch(train) [18][920/940] lr: 1.0000e-02 eta: 19:23:44 time: 0.8648 data_time: 0.3470 memory: 21548 grad_norm: 3.8443 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3426 loss: 1.3426 2022/08/01 04:50:45 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 04:50:45 - mmengine - INFO - Epoch(train) [18][940/940] lr: 1.0000e-02 eta: 19:23:34 time: 0.9930 data_time: 0.2068 memory: 21548 grad_norm: 3.9671 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.3928 loss: 1.3928 2022/08/01 04:50:46 - mmengine - INFO - Saving checkpoint at 18 epochs 2022/08/01 04:51:16 - mmengine - INFO - Epoch(val) [18][20/78] eta: 0:01:24 time: 1.4633 data_time: 1.3491 memory: 3271 2022/08/01 04:51:28 - mmengine - INFO - Epoch(val) [18][40/78] eta: 0:00:22 time: 0.5901 data_time: 0.4770 memory: 3271 2022/08/01 04:51:48 - mmengine - INFO - Epoch(val) [18][60/78] eta: 0:00:17 time: 0.9925 data_time: 0.8775 memory: 3271 2022/08/01 04:52:21 - mmengine - INFO - Epoch(val) [18][78/78] acc/top1: 0.6627 acc/top5: 0.8714 acc/mean1: 0.6625 2022/08/01 04:52:54 - mmengine - INFO - Epoch(train) [19][20/940] lr: 1.0000e-02 eta: 19:24:23 time: 1.6418 data_time: 0.7684 memory: 21548 grad_norm: 3.7324 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4730 loss: 1.4730 2022/08/01 04:53:10 - mmengine - INFO - Epoch(train) [19][40/940] lr: 1.0000e-02 eta: 19:23:56 time: 0.8096 data_time: 0.1352 memory: 21548 grad_norm: 3.6762 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3376 loss: 1.3376 2022/08/01 04:53:38 - mmengine - INFO - Epoch(train) [19][60/940] lr: 1.0000e-02 eta: 19:24:25 time: 1.4268 data_time: 0.9202 memory: 21548 grad_norm: 3.8169 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4521 loss: 1.4521 2022/08/01 04:54:02 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 04:54:02 - mmengine - INFO - Epoch(train) [19][80/940] lr: 1.0000e-02 eta: 19:24:32 time: 1.1814 data_time: 0.4231 memory: 21548 grad_norm: 3.7935 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3591 loss: 1.3591 2022/08/01 04:54:18 - mmengine - INFO - Epoch(train) [19][100/940] lr: 1.0000e-02 eta: 19:24:04 time: 0.8021 data_time: 0.1854 memory: 21548 grad_norm: 3.7184 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4340 loss: 1.4340 2022/08/01 04:54:39 - mmengine - INFO - Epoch(train) [19][120/940] lr: 1.0000e-02 eta: 19:23:57 time: 1.0273 data_time: 0.0307 memory: 21548 grad_norm: 3.6730 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2222 loss: 1.2222 2022/08/01 04:54:55 - mmengine - INFO - Epoch(train) [19][140/940] lr: 1.0000e-02 eta: 19:23:33 time: 0.8385 data_time: 0.0407 memory: 21548 grad_norm: 3.7804 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.3271 loss: 1.3271 2022/08/01 04:55:18 - mmengine - INFO - Epoch(train) [19][160/940] lr: 1.0000e-02 eta: 19:23:33 time: 1.1100 data_time: 0.0411 memory: 21548 grad_norm: 3.8196 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2807 loss: 1.2807 2022/08/01 04:55:38 - mmengine - INFO - Epoch(train) [19][180/940] lr: 1.0000e-02 eta: 19:23:24 time: 1.0179 data_time: 0.0369 memory: 21548 grad_norm: 3.7522 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4110 loss: 1.4110 2022/08/01 04:55:54 - mmengine - INFO - Epoch(train) [19][200/940] lr: 1.0000e-02 eta: 19:22:59 time: 0.8215 data_time: 0.0342 memory: 21548 grad_norm: 3.7439 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3146 loss: 1.3146 2022/08/01 04:56:23 - mmengine - INFO - Epoch(train) [19][220/940] lr: 1.0000e-02 eta: 19:23:27 time: 1.4262 data_time: 0.8250 memory: 21548 grad_norm: 3.7260 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4994 loss: 1.4994 2022/08/01 04:56:39 - mmengine - INFO - Epoch(train) [19][240/940] lr: 1.0000e-02 eta: 19:22:59 time: 0.7993 data_time: 0.3825 memory: 21548 grad_norm: 3.8044 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.4406 loss: 1.4406 2022/08/01 04:56:58 - mmengine - INFO - Epoch(train) [19][260/940] lr: 1.0000e-02 eta: 19:22:44 time: 0.9413 data_time: 0.5067 memory: 21548 grad_norm: 3.7232 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3410 loss: 1.3410 2022/08/01 04:57:13 - mmengine - INFO - Epoch(train) [19][280/940] lr: 1.0000e-02 eta: 19:22:15 time: 0.7851 data_time: 0.3659 memory: 21548 grad_norm: 3.7968 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4072 loss: 1.4072 2022/08/01 04:57:32 - mmengine - INFO - Epoch(train) [19][300/940] lr: 1.0000e-02 eta: 19:21:58 time: 0.9293 data_time: 0.5018 memory: 21548 grad_norm: 3.7061 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4726 loss: 1.4726 2022/08/01 04:57:49 - mmengine - INFO - Epoch(train) [19][320/940] lr: 1.0000e-02 eta: 19:21:33 time: 0.8287 data_time: 0.3017 memory: 21548 grad_norm: 3.8754 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4013 loss: 1.4013 2022/08/01 04:58:07 - mmengine - INFO - Epoch(train) [19][340/940] lr: 1.0000e-02 eta: 19:21:16 time: 0.9192 data_time: 0.4655 memory: 21548 grad_norm: 3.8862 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.4554 loss: 1.4554 2022/08/01 04:58:23 - mmengine - INFO - Epoch(train) [19][360/940] lr: 1.0000e-02 eta: 19:20:49 time: 0.8090 data_time: 0.1677 memory: 21548 grad_norm: 3.8354 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.4562 loss: 1.4562 2022/08/01 04:58:45 - mmengine - INFO - Epoch(train) [19][380/940] lr: 1.0000e-02 eta: 19:20:47 time: 1.0954 data_time: 0.4617 memory: 21548 grad_norm: 3.7835 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4459 loss: 1.4459 2022/08/01 04:59:00 - mmengine - INFO - Epoch(train) [19][400/940] lr: 1.0000e-02 eta: 19:20:17 time: 0.7705 data_time: 0.2496 memory: 21548 grad_norm: 3.7592 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2723 loss: 1.2723 2022/08/01 04:59:21 - mmengine - INFO - Epoch(train) [19][420/940] lr: 1.0000e-02 eta: 19:20:08 time: 1.0049 data_time: 0.2292 memory: 21548 grad_norm: 3.9042 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4015 loss: 1.4015 2022/08/01 04:59:39 - mmengine - INFO - Epoch(train) [19][440/940] lr: 1.0000e-02 eta: 19:19:50 time: 0.9191 data_time: 0.0839 memory: 21548 grad_norm: 3.7409 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4430 loss: 1.4430 2022/08/01 04:59:59 - mmengine - INFO - Epoch(train) [19][460/940] lr: 1.0000e-02 eta: 19:19:41 time: 1.0055 data_time: 0.0575 memory: 21548 grad_norm: 3.7976 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.3940 loss: 1.3940 2022/08/01 05:00:22 - mmengine - INFO - Epoch(train) [19][480/940] lr: 1.0000e-02 eta: 19:19:42 time: 1.1227 data_time: 0.0410 memory: 21548 grad_norm: 3.8913 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.3189 loss: 1.3189 2022/08/01 05:00:42 - mmengine - INFO - Epoch(train) [19][500/940] lr: 1.0000e-02 eta: 19:19:32 time: 1.0034 data_time: 0.0290 memory: 21548 grad_norm: 3.7730 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4856 loss: 1.4856 2022/08/01 05:01:01 - mmengine - INFO - Epoch(train) [19][520/940] lr: 1.0000e-02 eta: 19:19:18 time: 0.9613 data_time: 0.0389 memory: 21548 grad_norm: 3.7427 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3412 loss: 1.3412 2022/08/01 05:01:18 - mmengine - INFO - Epoch(train) [19][540/940] lr: 1.0000e-02 eta: 19:18:58 time: 0.8830 data_time: 0.0325 memory: 21548 grad_norm: 3.9216 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.3907 loss: 1.3907 2022/08/01 05:01:38 - mmengine - INFO - Epoch(train) [19][560/940] lr: 1.0000e-02 eta: 19:18:46 time: 0.9845 data_time: 0.0378 memory: 21548 grad_norm: 3.8179 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4611 loss: 1.4611 2022/08/01 05:01:55 - mmengine - INFO - Epoch(train) [19][580/940] lr: 1.0000e-02 eta: 19:18:20 time: 0.8168 data_time: 0.0353 memory: 21548 grad_norm: 3.8929 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4696 loss: 1.4696 2022/08/01 05:02:14 - mmengine - INFO - Epoch(train) [19][600/940] lr: 1.0000e-02 eta: 19:18:08 time: 0.9799 data_time: 0.0340 memory: 21548 grad_norm: 3.8115 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4293 loss: 1.4293 2022/08/01 05:02:33 - mmengine - INFO - Epoch(train) [19][620/940] lr: 1.0000e-02 eta: 19:17:51 time: 0.9239 data_time: 0.0403 memory: 21548 grad_norm: 3.8423 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4755 loss: 1.4755 2022/08/01 05:02:55 - mmengine - INFO - Epoch(train) [19][640/940] lr: 1.0000e-02 eta: 19:17:53 time: 1.1348 data_time: 0.0286 memory: 21548 grad_norm: 3.8376 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4114 loss: 1.4114 2022/08/01 05:03:12 - mmengine - INFO - Epoch(train) [19][660/940] lr: 1.0000e-02 eta: 19:17:30 time: 0.8597 data_time: 0.0357 memory: 21548 grad_norm: 3.7412 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3756 loss: 1.3756 2022/08/01 05:03:32 - mmengine - INFO - Epoch(train) [19][680/940] lr: 1.0000e-02 eta: 19:17:17 time: 0.9666 data_time: 0.0294 memory: 21548 grad_norm: 3.7717 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3716 loss: 1.3716 2022/08/01 05:03:49 - mmengine - INFO - Epoch(train) [19][700/940] lr: 1.0000e-02 eta: 19:16:57 time: 0.8828 data_time: 0.0674 memory: 21548 grad_norm: 3.8279 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3300 loss: 1.3300 2022/08/01 05:04:11 - mmengine - INFO - Epoch(train) [19][720/940] lr: 1.0000e-02 eta: 19:16:51 time: 1.0538 data_time: 0.0266 memory: 21548 grad_norm: 3.7383 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4319 loss: 1.4319 2022/08/01 05:04:28 - mmengine - INFO - Epoch(train) [19][740/940] lr: 1.0000e-02 eta: 19:16:30 time: 0.8803 data_time: 0.0393 memory: 21548 grad_norm: 3.7647 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3701 loss: 1.3701 2022/08/01 05:04:52 - mmengine - INFO - Epoch(train) [19][760/940] lr: 1.0000e-02 eta: 19:16:37 time: 1.1902 data_time: 0.2251 memory: 21548 grad_norm: 3.8279 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3195 loss: 1.3195 2022/08/01 05:05:17 - mmengine - INFO - Epoch(train) [19][780/940] lr: 1.0000e-02 eta: 19:16:46 time: 1.2318 data_time: 0.0645 memory: 21548 grad_norm: 3.8410 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3952 loss: 1.3952 2022/08/01 05:05:37 - mmengine - INFO - Epoch(train) [19][800/940] lr: 1.0000e-02 eta: 19:16:39 time: 1.0390 data_time: 0.0319 memory: 21548 grad_norm: 3.8336 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4657 loss: 1.4657 2022/08/01 05:05:52 - mmengine - INFO - Epoch(train) [19][820/940] lr: 1.0000e-02 eta: 19:16:03 time: 0.7064 data_time: 0.0357 memory: 21548 grad_norm: 3.9134 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3992 loss: 1.3992 2022/08/01 05:06:11 - mmengine - INFO - Epoch(train) [19][840/940] lr: 1.0000e-02 eta: 19:15:50 time: 0.9606 data_time: 0.0354 memory: 21548 grad_norm: 3.7832 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.4907 loss: 1.4907 2022/08/01 05:06:31 - mmengine - INFO - Epoch(train) [19][860/940] lr: 1.0000e-02 eta: 19:15:41 time: 1.0205 data_time: 0.0493 memory: 21548 grad_norm: 3.8141 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4657 loss: 1.4657 2022/08/01 05:06:51 - mmengine - INFO - Epoch(train) [19][880/940] lr: 1.0000e-02 eta: 19:15:29 time: 0.9785 data_time: 0.0426 memory: 21548 grad_norm: 3.7943 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4045 loss: 1.4045 2022/08/01 05:07:07 - mmengine - INFO - Epoch(train) [19][900/940] lr: 1.0000e-02 eta: 19:15:03 time: 0.8275 data_time: 0.0412 memory: 21548 grad_norm: 3.7028 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3028 loss: 1.3028 2022/08/01 05:07:26 - mmengine - INFO - Epoch(train) [19][920/940] lr: 1.0000e-02 eta: 19:14:47 time: 0.9353 data_time: 0.0450 memory: 21548 grad_norm: 3.7222 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3514 loss: 1.3514 2022/08/01 05:07:40 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 05:07:40 - mmengine - INFO - Epoch(train) [19][940/940] lr: 1.0000e-02 eta: 19:14:10 time: 0.6895 data_time: 0.0303 memory: 21548 grad_norm: 3.9559 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 1.4526 loss: 1.4526 2022/08/01 05:08:04 - mmengine - INFO - Epoch(val) [19][20/78] eta: 0:01:10 time: 1.2116 data_time: 1.0981 memory: 3271 2022/08/01 05:08:30 - mmengine - INFO - Epoch(val) [19][40/78] eta: 0:00:49 time: 1.3074 data_time: 1.1964 memory: 3271 2022/08/01 05:08:50 - mmengine - INFO - Epoch(val) [19][60/78] eta: 0:00:17 time: 0.9704 data_time: 0.8596 memory: 3271 2022/08/01 05:09:20 - mmengine - INFO - Epoch(val) [19][78/78] acc/top1: 0.6617 acc/top5: 0.8687 acc/mean1: 0.6615 2022/08/01 05:09:51 - mmengine - INFO - Epoch(train) [20][20/940] lr: 1.0000e-02 eta: 19:14:42 time: 1.4983 data_time: 0.4895 memory: 21548 grad_norm: 3.7191 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3886 loss: 1.3886 2022/08/01 05:10:08 - mmengine - INFO - Epoch(train) [20][40/940] lr: 1.0000e-02 eta: 19:14:22 time: 0.8836 data_time: 0.0333 memory: 21548 grad_norm: 3.7350 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3536 loss: 1.3536 2022/08/01 05:10:27 - mmengine - INFO - Epoch(train) [20][60/940] lr: 1.0000e-02 eta: 19:14:06 time: 0.9420 data_time: 0.0416 memory: 21548 grad_norm: 3.6600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3774 loss: 1.3774 2022/08/01 05:10:45 - mmengine - INFO - Epoch(train) [20][80/940] lr: 1.0000e-02 eta: 19:13:46 time: 0.8804 data_time: 0.0386 memory: 21548 grad_norm: 3.6950 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4018 loss: 1.4018 2022/08/01 05:11:02 - mmengine - INFO - Epoch(train) [20][100/940] lr: 1.0000e-02 eta: 19:13:25 time: 0.8769 data_time: 0.0361 memory: 21548 grad_norm: 3.7252 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2460 loss: 1.2460 2022/08/01 05:11:22 - mmengine - INFO - Epoch(train) [20][120/940] lr: 1.0000e-02 eta: 19:13:14 time: 1.0043 data_time: 0.0373 memory: 21548 grad_norm: 3.8012 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4358 loss: 1.4358 2022/08/01 05:11:39 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 05:11:39 - mmengine - INFO - Epoch(train) [20][140/940] lr: 1.0000e-02 eta: 19:12:51 time: 0.8501 data_time: 0.0439 memory: 21548 grad_norm: 3.8692 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3942 loss: 1.3942 2022/08/01 05:11:59 - mmengine - INFO - Epoch(train) [20][160/940] lr: 1.0000e-02 eta: 19:12:41 time: 1.0070 data_time: 0.0378 memory: 21548 grad_norm: 3.8063 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3844 loss: 1.3844 2022/08/01 05:12:17 - mmengine - INFO - Epoch(train) [20][180/940] lr: 1.0000e-02 eta: 19:12:19 time: 0.8651 data_time: 0.0353 memory: 21548 grad_norm: 3.8829 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4626 loss: 1.4626 2022/08/01 05:12:36 - mmengine - INFO - Epoch(train) [20][200/940] lr: 1.0000e-02 eta: 19:12:05 time: 0.9624 data_time: 0.0406 memory: 21548 grad_norm: 3.8054 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 1.3631 loss: 1.3631 2022/08/01 05:12:51 - mmengine - INFO - Epoch(train) [20][220/940] lr: 1.0000e-02 eta: 19:11:35 time: 0.7616 data_time: 0.0357 memory: 21548 grad_norm: 3.8550 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5059 loss: 1.5059 2022/08/01 05:13:12 - mmengine - INFO - Epoch(train) [20][240/940] lr: 1.0000e-02 eta: 19:11:28 time: 1.0434 data_time: 0.0362 memory: 21548 grad_norm: 3.8041 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3678 loss: 1.3678 2022/08/01 05:13:31 - mmengine - INFO - Epoch(train) [20][260/940] lr: 1.0000e-02 eta: 19:11:13 time: 0.9570 data_time: 0.0371 memory: 21548 grad_norm: 3.7032 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3329 loss: 1.3329 2022/08/01 05:13:52 - mmengine - INFO - Epoch(train) [20][280/940] lr: 1.0000e-02 eta: 19:11:06 time: 1.0409 data_time: 0.0364 memory: 21548 grad_norm: 3.8348 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4815 loss: 1.4815 2022/08/01 05:14:14 - mmengine - INFO - Epoch(train) [20][300/940] lr: 1.0000e-02 eta: 19:11:05 time: 1.1192 data_time: 0.0386 memory: 21548 grad_norm: 3.7901 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.4267 loss: 1.4267 2022/08/01 05:14:39 - mmengine - INFO - Epoch(train) [20][320/940] lr: 1.0000e-02 eta: 19:11:13 time: 1.2162 data_time: 0.0394 memory: 21548 grad_norm: 3.8086 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4438 loss: 1.4438 2022/08/01 05:14:58 - mmengine - INFO - Epoch(train) [20][340/940] lr: 1.0000e-02 eta: 19:10:58 time: 0.9532 data_time: 0.0364 memory: 21548 grad_norm: 3.7898 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4806 loss: 1.4806 2022/08/01 05:15:18 - mmengine - INFO - Epoch(train) [20][360/940] lr: 1.0000e-02 eta: 19:10:47 time: 1.0023 data_time: 0.0302 memory: 21548 grad_norm: 3.7658 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4642 loss: 1.4642 2022/08/01 05:15:35 - mmengine - INFO - Epoch(train) [20][380/940] lr: 1.0000e-02 eta: 19:10:25 time: 0.8630 data_time: 0.0398 memory: 21548 grad_norm: 3.8143 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3341 loss: 1.3341 2022/08/01 05:15:56 - mmengine - INFO - Epoch(train) [20][400/940] lr: 1.0000e-02 eta: 19:10:16 time: 1.0222 data_time: 0.0438 memory: 21548 grad_norm: 3.8371 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4300 loss: 1.4300 2022/08/01 05:16:12 - mmengine - INFO - Epoch(train) [20][420/940] lr: 1.0000e-02 eta: 19:09:50 time: 0.8206 data_time: 0.0387 memory: 21548 grad_norm: 3.7658 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3880 loss: 1.3880 2022/08/01 05:16:32 - mmengine - INFO - Epoch(train) [20][440/940] lr: 1.0000e-02 eta: 19:09:39 time: 0.9978 data_time: 0.0305 memory: 21548 grad_norm: 3.9462 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.3085 loss: 1.3085 2022/08/01 05:16:48 - mmengine - INFO - Epoch(train) [20][460/940] lr: 1.0000e-02 eta: 19:09:14 time: 0.8257 data_time: 0.0386 memory: 21548 grad_norm: 3.8836 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4432 loss: 1.4432 2022/08/01 05:17:07 - mmengine - INFO - Epoch(train) [20][480/940] lr: 1.0000e-02 eta: 19:08:55 time: 0.9077 data_time: 0.0409 memory: 21548 grad_norm: 3.7523 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4736 loss: 1.4736 2022/08/01 05:17:27 - mmengine - INFO - Epoch(train) [20][500/940] lr: 1.0000e-02 eta: 19:08:47 time: 1.0281 data_time: 0.0362 memory: 21548 grad_norm: 3.8567 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2221 loss: 1.2221 2022/08/01 05:17:46 - mmengine - INFO - Epoch(train) [20][520/940] lr: 1.0000e-02 eta: 19:08:29 time: 0.9174 data_time: 0.0357 memory: 21548 grad_norm: 3.8619 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2966 loss: 1.2966 2022/08/01 05:18:04 - mmengine - INFO - Epoch(train) [20][540/940] lr: 1.0000e-02 eta: 19:08:10 time: 0.8984 data_time: 0.0437 memory: 21548 grad_norm: 3.8787 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3985 loss: 1.3985 2022/08/01 05:18:24 - mmengine - INFO - Epoch(train) [20][560/940] lr: 1.0000e-02 eta: 19:08:01 time: 1.0286 data_time: 0.0283 memory: 21548 grad_norm: 3.7849 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.3693 loss: 1.3693 2022/08/01 05:18:45 - mmengine - INFO - Epoch(train) [20][580/940] lr: 1.0000e-02 eta: 19:07:55 time: 1.0592 data_time: 0.0383 memory: 21548 grad_norm: 3.7540 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3836 loss: 1.3836 2022/08/01 05:19:02 - mmengine - INFO - Epoch(train) [20][600/940] lr: 1.0000e-02 eta: 19:07:32 time: 0.8481 data_time: 0.0973 memory: 21548 grad_norm: 3.8427 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.5172 loss: 1.5172 2022/08/01 05:19:27 - mmengine - INFO - Epoch(train) [20][620/940] lr: 1.0000e-02 eta: 19:07:38 time: 1.2167 data_time: 0.0329 memory: 21548 grad_norm: 3.8919 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3419 loss: 1.3419 2022/08/01 05:19:43 - mmengine - INFO - Epoch(train) [20][640/940] lr: 1.0000e-02 eta: 19:07:15 time: 0.8446 data_time: 0.0353 memory: 21548 grad_norm: 3.8595 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3946 loss: 1.3946 2022/08/01 05:20:05 - mmengine - INFO - Epoch(train) [20][660/940] lr: 1.0000e-02 eta: 19:07:08 time: 1.0593 data_time: 0.0332 memory: 21548 grad_norm: 3.8390 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 1.3133 loss: 1.3133 2022/08/01 05:20:21 - mmengine - INFO - Epoch(train) [20][680/940] lr: 1.0000e-02 eta: 19:06:43 time: 0.8228 data_time: 0.0408 memory: 21548 grad_norm: 3.7862 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3347 loss: 1.3347 2022/08/01 05:20:42 - mmengine - INFO - Epoch(train) [20][700/940] lr: 1.0000e-02 eta: 19:06:37 time: 1.0666 data_time: 0.4430 memory: 21548 grad_norm: 3.8618 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.2702 loss: 1.2702 2022/08/01 05:21:02 - mmengine - INFO - Epoch(train) [20][720/940] lr: 1.0000e-02 eta: 19:06:24 time: 0.9717 data_time: 0.5457 memory: 21548 grad_norm: 3.7654 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3102 loss: 1.3102 2022/08/01 05:21:19 - mmengine - INFO - Epoch(train) [20][740/940] lr: 1.0000e-02 eta: 19:06:02 time: 0.8634 data_time: 0.2094 memory: 21548 grad_norm: 3.7810 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.4614 loss: 1.4614 2022/08/01 05:21:38 - mmengine - INFO - Epoch(train) [20][760/940] lr: 1.0000e-02 eta: 19:05:45 time: 0.9317 data_time: 0.0738 memory: 21548 grad_norm: 3.7623 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.3520 loss: 1.3520 2022/08/01 05:22:01 - mmengine - INFO - Epoch(train) [20][780/940] lr: 1.0000e-02 eta: 19:05:47 time: 1.1643 data_time: 0.0295 memory: 21548 grad_norm: 3.8142 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4179 loss: 1.4179 2022/08/01 05:22:17 - mmengine - INFO - Epoch(train) [20][800/940] lr: 1.0000e-02 eta: 19:05:18 time: 0.7777 data_time: 0.0376 memory: 21548 grad_norm: 3.8427 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4131 loss: 1.4131 2022/08/01 05:22:36 - mmengine - INFO - Epoch(train) [20][820/940] lr: 1.0000e-02 eta: 19:05:05 time: 0.9768 data_time: 0.0343 memory: 21548 grad_norm: 3.8874 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3688 loss: 1.3688 2022/08/01 05:22:55 - mmengine - INFO - Epoch(train) [20][840/940] lr: 1.0000e-02 eta: 19:04:48 time: 0.9303 data_time: 0.0373 memory: 21548 grad_norm: 3.9006 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3885 loss: 1.3885 2022/08/01 05:23:16 - mmengine - INFO - Epoch(train) [20][860/940] lr: 1.0000e-02 eta: 19:04:43 time: 1.0751 data_time: 0.0377 memory: 21548 grad_norm: 3.7767 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4103 loss: 1.4103 2022/08/01 05:23:36 - mmengine - INFO - Epoch(train) [20][880/940] lr: 1.0000e-02 eta: 19:04:32 time: 1.0051 data_time: 0.0346 memory: 21548 grad_norm: 3.9453 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4255 loss: 1.4255 2022/08/01 05:23:54 - mmengine - INFO - Epoch(train) [20][900/940] lr: 1.0000e-02 eta: 19:04:10 time: 0.8575 data_time: 0.0335 memory: 21548 grad_norm: 3.8958 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4486 loss: 1.4486 2022/08/01 05:24:13 - mmengine - INFO - Epoch(train) [20][920/940] lr: 1.0000e-02 eta: 19:03:55 time: 0.9580 data_time: 0.0376 memory: 21548 grad_norm: 3.7965 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4587 loss: 1.4587 2022/08/01 05:24:42 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 05:24:42 - mmengine - INFO - Epoch(train) [20][940/940] lr: 1.0000e-02 eta: 19:04:21 time: 1.4605 data_time: 0.0251 memory: 21548 grad_norm: 4.1038 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.3421 loss: 1.3421 2022/08/01 05:25:08 - mmengine - INFO - Epoch(val) [20][20/78] eta: 0:01:15 time: 1.2979 data_time: 1.1849 memory: 3271 2022/08/01 05:25:26 - mmengine - INFO - Epoch(val) [20][40/78] eta: 0:00:34 time: 0.9201 data_time: 0.8096 memory: 3271 2022/08/01 05:25:49 - mmengine - INFO - Epoch(val) [20][60/78] eta: 0:00:20 time: 1.1194 data_time: 1.0067 memory: 3271 2022/08/01 05:26:10 - mmengine - INFO - Epoch(val) [20][78/78] acc/top1: 0.6633 acc/top5: 0.8723 acc/mean1: 0.6632 2022/08/01 05:26:39 - mmengine - INFO - Epoch(train) [21][20/940] lr: 1.0000e-02 eta: 19:04:43 time: 1.4211 data_time: 0.3409 memory: 21548 grad_norm: 3.7148 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2570 loss: 1.2570 2022/08/01 05:26:54 - mmengine - INFO - Epoch(train) [21][40/940] lr: 1.0000e-02 eta: 19:04:13 time: 0.7612 data_time: 0.0351 memory: 21548 grad_norm: 3.7967 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3394 loss: 1.3394 2022/08/01 05:27:13 - mmengine - INFO - Epoch(train) [21][60/940] lr: 1.0000e-02 eta: 19:03:59 time: 0.9682 data_time: 0.0357 memory: 21548 grad_norm: 3.7833 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3935 loss: 1.3935 2022/08/01 05:27:32 - mmengine - INFO - Epoch(train) [21][80/940] lr: 1.0000e-02 eta: 19:03:43 time: 0.9498 data_time: 0.0837 memory: 21548 grad_norm: 3.8148 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2990 loss: 1.2990 2022/08/01 05:27:50 - mmengine - INFO - Epoch(train) [21][100/940] lr: 1.0000e-02 eta: 19:03:23 time: 0.8930 data_time: 0.2442 memory: 21548 grad_norm: 3.8051 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4270 loss: 1.4270 2022/08/01 05:28:07 - mmengine - INFO - Epoch(train) [21][120/940] lr: 1.0000e-02 eta: 19:03:00 time: 0.8526 data_time: 0.1555 memory: 21548 grad_norm: 3.8175 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3619 loss: 1.3619 2022/08/01 05:28:29 - mmengine - INFO - Epoch(train) [21][140/940] lr: 1.0000e-02 eta: 19:02:54 time: 1.0673 data_time: 0.2428 memory: 21548 grad_norm: 3.7939 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3777 loss: 1.3777 2022/08/01 05:28:45 - mmengine - INFO - Epoch(train) [21][160/940] lr: 1.0000e-02 eta: 19:02:28 time: 0.8173 data_time: 0.0341 memory: 21548 grad_norm: 3.7773 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.3495 loss: 1.3495 2022/08/01 05:29:06 - mmengine - INFO - Epoch(train) [21][180/940] lr: 1.0000e-02 eta: 19:02:20 time: 1.0339 data_time: 0.0495 memory: 21548 grad_norm: 3.7261 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.3464 loss: 1.3464 2022/08/01 05:29:21 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 05:29:21 - mmengine - INFO - Epoch(train) [21][200/940] lr: 1.0000e-02 eta: 19:01:50 time: 0.7741 data_time: 0.0566 memory: 21548 grad_norm: 3.7943 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4032 loss: 1.4032 2022/08/01 05:29:43 - mmengine - INFO - Epoch(train) [21][220/940] lr: 1.0000e-02 eta: 19:01:47 time: 1.1003 data_time: 0.0329 memory: 21548 grad_norm: 3.8262 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3863 loss: 1.3863 2022/08/01 05:30:00 - mmengine - INFO - Epoch(train) [21][240/940] lr: 1.0000e-02 eta: 19:01:24 time: 0.8535 data_time: 0.0437 memory: 21548 grad_norm: 3.8743 top1_acc: 0.5938 top5_acc: 0.9688 loss_cls: 1.3135 loss: 1.3135 2022/08/01 05:30:20 - mmengine - INFO - Epoch(train) [21][260/940] lr: 1.0000e-02 eta: 19:01:11 time: 0.9831 data_time: 0.0409 memory: 21548 grad_norm: 3.8674 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4635 loss: 1.4635 2022/08/01 05:30:40 - mmengine - INFO - Epoch(train) [21][280/940] lr: 1.0000e-02 eta: 19:01:01 time: 1.0181 data_time: 0.0308 memory: 21548 grad_norm: 3.7333 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3112 loss: 1.3112 2022/08/01 05:30:56 - mmengine - INFO - Epoch(train) [21][300/940] lr: 1.0000e-02 eta: 19:00:34 time: 0.8086 data_time: 0.0354 memory: 21548 grad_norm: 3.7861 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.2093 loss: 1.2093 2022/08/01 05:31:17 - mmengine - INFO - Epoch(train) [21][320/940] lr: 1.0000e-02 eta: 19:00:27 time: 1.0503 data_time: 0.0334 memory: 21548 grad_norm: 3.8520 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.3675 loss: 1.3675 2022/08/01 05:31:37 - mmengine - INFO - Epoch(train) [21][340/940] lr: 1.0000e-02 eta: 19:00:13 time: 0.9744 data_time: 0.0502 memory: 21548 grad_norm: 3.9992 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2532 loss: 1.2532 2022/08/01 05:32:05 - mmengine - INFO - Epoch(train) [21][360/940] lr: 1.0000e-02 eta: 19:00:34 time: 1.4155 data_time: 0.0375 memory: 21548 grad_norm: 3.8778 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3344 loss: 1.3344 2022/08/01 05:32:21 - mmengine - INFO - Epoch(train) [21][380/940] lr: 1.0000e-02 eta: 19:00:06 time: 0.7858 data_time: 0.0359 memory: 21548 grad_norm: 3.8995 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.4395 loss: 1.4395 2022/08/01 05:32:47 - mmengine - INFO - Epoch(train) [21][400/940] lr: 1.0000e-02 eta: 19:00:18 time: 1.3091 data_time: 0.0298 memory: 21548 grad_norm: 3.7880 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4512 loss: 1.4512 2022/08/01 05:33:04 - mmengine - INFO - Epoch(train) [21][420/940] lr: 1.0000e-02 eta: 18:59:53 time: 0.8269 data_time: 0.0482 memory: 21548 grad_norm: 3.8790 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3993 loss: 1.3993 2022/08/01 05:33:25 - mmengine - INFO - Epoch(train) [21][440/940] lr: 1.0000e-02 eta: 18:59:48 time: 1.0869 data_time: 0.0287 memory: 21548 grad_norm: 3.7879 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4414 loss: 1.4414 2022/08/01 05:33:43 - mmengine - INFO - Epoch(train) [21][460/940] lr: 1.0000e-02 eta: 18:59:26 time: 0.8624 data_time: 0.0371 memory: 21548 grad_norm: 3.7995 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2872 loss: 1.2872 2022/08/01 05:34:02 - mmengine - INFO - Epoch(train) [21][480/940] lr: 1.0000e-02 eta: 18:59:12 time: 0.9697 data_time: 0.0413 memory: 21548 grad_norm: 3.7934 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.3314 loss: 1.3314 2022/08/01 05:34:21 - mmengine - INFO - Epoch(train) [21][500/940] lr: 1.0000e-02 eta: 18:58:55 time: 0.9288 data_time: 0.0375 memory: 21548 grad_norm: 3.9188 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4257 loss: 1.4257 2022/08/01 05:34:40 - mmengine - INFO - Epoch(train) [21][520/940] lr: 1.0000e-02 eta: 18:58:41 time: 0.9717 data_time: 0.0487 memory: 21548 grad_norm: 3.8597 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4285 loss: 1.4285 2022/08/01 05:34:58 - mmengine - INFO - Epoch(train) [21][540/940] lr: 1.0000e-02 eta: 18:58:22 time: 0.9036 data_time: 0.1497 memory: 21548 grad_norm: 3.8085 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4522 loss: 1.4522 2022/08/01 05:35:18 - mmengine - INFO - Epoch(train) [21][560/940] lr: 1.0000e-02 eta: 18:58:09 time: 0.9816 data_time: 0.4185 memory: 21548 grad_norm: 3.8912 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3592 loss: 1.3592 2022/08/01 05:35:41 - mmengine - INFO - Epoch(train) [21][580/940] lr: 1.0000e-02 eta: 18:58:09 time: 1.1613 data_time: 0.7576 memory: 21548 grad_norm: 3.8215 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2840 loss: 1.2840 2022/08/01 05:35:57 - mmengine - INFO - Epoch(train) [21][600/940] lr: 1.0000e-02 eta: 18:57:41 time: 0.7924 data_time: 0.3679 memory: 21548 grad_norm: 3.8866 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 1.4980 loss: 1.4980 2022/08/01 05:36:18 - mmengine - INFO - Epoch(train) [21][620/940] lr: 1.0000e-02 eta: 18:57:35 time: 1.0692 data_time: 0.6412 memory: 21548 grad_norm: 3.7661 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4142 loss: 1.4142 2022/08/01 05:36:39 - mmengine - INFO - Epoch(train) [21][640/940] lr: 1.0000e-02 eta: 18:57:26 time: 1.0337 data_time: 0.5372 memory: 21548 grad_norm: 3.7969 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.3369 loss: 1.3369 2022/08/01 05:37:02 - mmengine - INFO - Epoch(train) [21][660/940] lr: 1.0000e-02 eta: 18:57:25 time: 1.1497 data_time: 0.7497 memory: 21548 grad_norm: 3.8203 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4309 loss: 1.4309 2022/08/01 05:37:19 - mmengine - INFO - Epoch(train) [21][680/940] lr: 1.0000e-02 eta: 18:57:03 time: 0.8646 data_time: 0.4422 memory: 21548 grad_norm: 3.8295 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3654 loss: 1.3654 2022/08/01 05:37:39 - mmengine - INFO - Epoch(train) [21][700/940] lr: 1.0000e-02 eta: 18:56:51 time: 0.9908 data_time: 0.5183 memory: 21548 grad_norm: 3.7634 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3279 loss: 1.3279 2022/08/01 05:37:58 - mmengine - INFO - Epoch(train) [21][720/940] lr: 1.0000e-02 eta: 18:56:34 time: 0.9386 data_time: 0.0317 memory: 21548 grad_norm: 3.8689 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3783 loss: 1.3783 2022/08/01 05:38:17 - mmengine - INFO - Epoch(train) [21][740/940] lr: 1.0000e-02 eta: 18:56:20 time: 0.9690 data_time: 0.1821 memory: 21548 grad_norm: 3.7361 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4331 loss: 1.4331 2022/08/01 05:38:40 - mmengine - INFO - Epoch(train) [21][760/940] lr: 1.0000e-02 eta: 18:56:19 time: 1.1452 data_time: 0.7082 memory: 21548 grad_norm: 3.8954 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4225 loss: 1.4225 2022/08/01 05:38:59 - mmengine - INFO - Epoch(train) [21][780/940] lr: 1.0000e-02 eta: 18:56:04 time: 0.9583 data_time: 0.2287 memory: 21548 grad_norm: 3.8770 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.3479 loss: 1.3479 2022/08/01 05:39:15 - mmengine - INFO - Epoch(train) [21][800/940] lr: 1.0000e-02 eta: 18:55:37 time: 0.7976 data_time: 0.1238 memory: 21548 grad_norm: 3.7500 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2730 loss: 1.2730 2022/08/01 05:39:37 - mmengine - INFO - Epoch(train) [21][820/940] lr: 1.0000e-02 eta: 18:55:32 time: 1.0952 data_time: 0.0372 memory: 21548 grad_norm: 3.8862 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3933 loss: 1.3933 2022/08/01 05:39:58 - mmengine - INFO - Epoch(train) [21][840/940] lr: 1.0000e-02 eta: 18:55:22 time: 1.0292 data_time: 0.0421 memory: 21548 grad_norm: 3.7811 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2376 loss: 1.2376 2022/08/01 05:40:16 - mmengine - INFO - Epoch(train) [21][860/940] lr: 1.0000e-02 eta: 18:55:02 time: 0.8958 data_time: 0.0370 memory: 21548 grad_norm: 3.8913 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 1.4208 loss: 1.4208 2022/08/01 05:40:34 - mmengine - INFO - Epoch(train) [21][880/940] lr: 1.0000e-02 eta: 18:54:46 time: 0.9458 data_time: 0.0443 memory: 21548 grad_norm: 3.8883 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3690 loss: 1.3690 2022/08/01 05:40:59 - mmengine - INFO - Epoch(train) [21][900/940] lr: 1.0000e-02 eta: 18:54:51 time: 1.2168 data_time: 0.0306 memory: 21548 grad_norm: 3.7904 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4050 loss: 1.4050 2022/08/01 05:41:14 - mmengine - INFO - Epoch(train) [21][920/940] lr: 1.0000e-02 eta: 18:54:20 time: 0.7547 data_time: 0.0341 memory: 21548 grad_norm: 3.8260 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2980 loss: 1.2980 2022/08/01 05:41:37 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 05:41:37 - mmengine - INFO - Epoch(train) [21][940/940] lr: 1.0000e-02 eta: 18:54:21 time: 1.1729 data_time: 0.0271 memory: 21548 grad_norm: 3.9792 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.3992 loss: 1.3992 2022/08/01 05:41:37 - mmengine - INFO - Saving checkpoint at 21 epochs 2022/08/01 05:42:18 - mmengine - INFO - Epoch(val) [21][20/78] eta: 0:01:53 time: 1.9637 data_time: 1.8456 memory: 3271 2022/08/01 05:42:45 - mmengine - INFO - Epoch(val) [21][40/78] eta: 0:00:50 time: 1.3367 data_time: 1.2276 memory: 3271 2022/08/01 05:43:13 - mmengine - INFO - Epoch(val) [21][60/78] eta: 0:00:25 time: 1.3952 data_time: 1.2882 memory: 3271 2022/08/01 05:43:41 - mmengine - INFO - Epoch(val) [21][78/78] acc/top1: 0.6736 acc/top5: 0.8792 acc/mean1: 0.6734 2022/08/01 05:43:41 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_18.pth is removed 2022/08/01 05:43:42 - mmengine - INFO - The best checkpoint with 0.6736 acc/top1 at 22 epoch is saved to best_acc/top1_epoch_22.pth. 2022/08/01 05:44:08 - mmengine - INFO - Epoch(train) [22][20/940] lr: 1.0000e-02 eta: 18:54:32 time: 1.3012 data_time: 0.5122 memory: 21548 grad_norm: 3.8338 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4148 loss: 1.4148 2022/08/01 05:44:27 - mmengine - INFO - Epoch(train) [22][40/940] lr: 1.0000e-02 eta: 18:54:15 time: 0.9455 data_time: 0.2370 memory: 21548 grad_norm: 3.7819 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4145 loss: 1.4145 2022/08/01 05:44:53 - mmengine - INFO - Epoch(train) [22][60/940] lr: 1.0000e-02 eta: 18:54:27 time: 1.3188 data_time: 0.4404 memory: 21548 grad_norm: 3.7356 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2152 loss: 1.2152 2022/08/01 05:45:14 - mmengine - INFO - Epoch(train) [22][80/940] lr: 1.0000e-02 eta: 18:54:19 time: 1.0511 data_time: 0.0423 memory: 21548 grad_norm: 3.8213 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.3498 loss: 1.3498 2022/08/01 05:45:37 - mmengine - INFO - Epoch(train) [22][100/940] lr: 1.0000e-02 eta: 18:54:15 time: 1.1119 data_time: 0.0292 memory: 21548 grad_norm: 3.8342 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4077 loss: 1.4077 2022/08/01 05:45:55 - mmengine - INFO - Epoch(train) [22][120/940] lr: 1.0000e-02 eta: 18:53:56 time: 0.9081 data_time: 0.2330 memory: 21548 grad_norm: 3.7967 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2266 loss: 1.2266 2022/08/01 05:46:15 - mmengine - INFO - Epoch(train) [22][140/940] lr: 1.0000e-02 eta: 18:53:45 time: 1.0114 data_time: 0.4484 memory: 21548 grad_norm: 3.7224 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3482 loss: 1.3482 2022/08/01 05:46:33 - mmengine - INFO - Epoch(train) [22][160/940] lr: 1.0000e-02 eta: 18:53:23 time: 0.8807 data_time: 0.3947 memory: 21548 grad_norm: 3.9276 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.3978 loss: 1.3978 2022/08/01 05:46:52 - mmengine - INFO - Epoch(train) [22][180/940] lr: 1.0000e-02 eta: 18:53:10 time: 0.9845 data_time: 0.5744 memory: 21548 grad_norm: 3.8658 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2642 loss: 1.2642 2022/08/01 05:47:15 - mmengine - INFO - Epoch(train) [22][200/940] lr: 1.0000e-02 eta: 18:53:06 time: 1.1145 data_time: 0.7035 memory: 21548 grad_norm: 3.7688 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.2186 loss: 1.2186 2022/08/01 05:47:45 - mmengine - INFO - Epoch(train) [22][220/940] lr: 1.0000e-02 eta: 18:53:33 time: 1.5219 data_time: 1.1147 memory: 21548 grad_norm: 3.7999 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1879 loss: 1.1879 2022/08/01 05:47:59 - mmengine - INFO - Epoch(train) [22][240/940] lr: 1.0000e-02 eta: 18:52:59 time: 0.7067 data_time: 0.2707 memory: 21548 grad_norm: 3.9329 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.4939 loss: 1.4939 2022/08/01 05:48:17 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 05:48:17 - mmengine - INFO - Epoch(train) [22][260/940] lr: 1.0000e-02 eta: 18:52:39 time: 0.9055 data_time: 0.4299 memory: 21548 grad_norm: 3.8149 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4185 loss: 1.4185 2022/08/01 05:48:35 - mmengine - INFO - Epoch(train) [22][280/940] lr: 1.0000e-02 eta: 18:52:17 time: 0.8661 data_time: 0.4006 memory: 21548 grad_norm: 3.8870 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4116 loss: 1.4116 2022/08/01 05:48:59 - mmengine - INFO - Epoch(train) [22][300/940] lr: 1.0000e-02 eta: 18:52:20 time: 1.2109 data_time: 0.1742 memory: 21548 grad_norm: 3.8707 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3863 loss: 1.3863 2022/08/01 05:49:18 - mmengine - INFO - Epoch(train) [22][320/940] lr: 1.0000e-02 eta: 18:52:04 time: 0.9514 data_time: 0.0379 memory: 21548 grad_norm: 3.8530 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.4518 loss: 1.4518 2022/08/01 05:49:47 - mmengine - INFO - Epoch(train) [22][340/940] lr: 1.0000e-02 eta: 18:52:24 time: 1.4397 data_time: 0.0303 memory: 21548 grad_norm: 3.7093 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3097 loss: 1.3097 2022/08/01 05:50:06 - mmengine - INFO - Epoch(train) [22][360/940] lr: 1.0000e-02 eta: 18:52:09 time: 0.9646 data_time: 0.0326 memory: 21548 grad_norm: 3.8134 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.2917 loss: 1.2917 2022/08/01 05:50:30 - mmengine - INFO - Epoch(train) [22][380/940] lr: 1.0000e-02 eta: 18:52:12 time: 1.2086 data_time: 0.0298 memory: 21548 grad_norm: 3.9030 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3218 loss: 1.3218 2022/08/01 05:50:47 - mmengine - INFO - Epoch(train) [22][400/940] lr: 1.0000e-02 eta: 18:51:50 time: 0.8710 data_time: 0.0382 memory: 21548 grad_norm: 3.8359 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3326 loss: 1.3326 2022/08/01 05:51:07 - mmengine - INFO - Epoch(train) [22][420/940] lr: 1.0000e-02 eta: 18:51:37 time: 0.9903 data_time: 0.0347 memory: 21548 grad_norm: 3.7972 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.2824 loss: 1.2824 2022/08/01 05:51:23 - mmengine - INFO - Epoch(train) [22][440/940] lr: 1.0000e-02 eta: 18:51:08 time: 0.7764 data_time: 0.0502 memory: 21548 grad_norm: 3.8278 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3946 loss: 1.3946 2022/08/01 05:51:43 - mmengine - INFO - Epoch(train) [22][460/940] lr: 1.0000e-02 eta: 18:50:56 time: 1.0024 data_time: 0.0289 memory: 21548 grad_norm: 3.9062 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3283 loss: 1.3283 2022/08/01 05:52:03 - mmengine - INFO - Epoch(train) [22][480/940] lr: 1.0000e-02 eta: 18:50:43 time: 0.9972 data_time: 0.0425 memory: 21548 grad_norm: 3.7755 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.2508 loss: 1.2508 2022/08/01 05:52:17 - mmengine - INFO - Epoch(train) [22][500/940] lr: 1.0000e-02 eta: 18:50:11 time: 0.7253 data_time: 0.0349 memory: 21548 grad_norm: 3.8459 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.3066 loss: 1.3066 2022/08/01 05:52:41 - mmengine - INFO - Epoch(train) [22][520/940] lr: 1.0000e-02 eta: 18:50:10 time: 1.1686 data_time: 0.0449 memory: 21548 grad_norm: 3.8870 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2925 loss: 1.2925 2022/08/01 05:53:04 - mmengine - INFO - Epoch(train) [22][540/940] lr: 1.0000e-02 eta: 18:50:10 time: 1.1673 data_time: 0.0307 memory: 21548 grad_norm: 3.9688 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3792 loss: 1.3792 2022/08/01 05:53:24 - mmengine - INFO - Epoch(train) [22][560/940] lr: 1.0000e-02 eta: 18:49:59 time: 1.0156 data_time: 0.0337 memory: 21548 grad_norm: 3.8086 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3547 loss: 1.3547 2022/08/01 05:53:41 - mmengine - INFO - Epoch(train) [22][580/940] lr: 1.0000e-02 eta: 18:49:33 time: 0.8263 data_time: 0.0414 memory: 21548 grad_norm: 3.8780 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2614 loss: 1.2614 2022/08/01 05:54:03 - mmengine - INFO - Epoch(train) [22][600/940] lr: 1.0000e-02 eta: 18:49:29 time: 1.1091 data_time: 0.0326 memory: 21548 grad_norm: 3.8084 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2937 loss: 1.2937 2022/08/01 05:54:20 - mmengine - INFO - Epoch(train) [22][620/940] lr: 1.0000e-02 eta: 18:49:07 time: 0.8683 data_time: 0.0394 memory: 21548 grad_norm: 3.8543 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3200 loss: 1.3200 2022/08/01 05:54:40 - mmengine - INFO - Epoch(train) [22][640/940] lr: 1.0000e-02 eta: 18:48:54 time: 0.9989 data_time: 0.0295 memory: 21548 grad_norm: 3.8891 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2327 loss: 1.2327 2022/08/01 05:55:02 - mmengine - INFO - Epoch(train) [22][660/940] lr: 1.0000e-02 eta: 18:48:48 time: 1.0905 data_time: 0.0342 memory: 21548 grad_norm: 3.9505 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.3504 loss: 1.3504 2022/08/01 05:55:21 - mmengine - INFO - Epoch(train) [22][680/940] lr: 1.0000e-02 eta: 18:48:31 time: 0.9483 data_time: 0.0506 memory: 21548 grad_norm: 3.7909 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3193 loss: 1.3193 2022/08/01 05:55:41 - mmengine - INFO - Epoch(train) [22][700/940] lr: 1.0000e-02 eta: 18:48:17 time: 0.9698 data_time: 0.0392 memory: 21548 grad_norm: 3.8790 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4082 loss: 1.4082 2022/08/01 05:56:01 - mmengine - INFO - Epoch(train) [22][720/940] lr: 1.0000e-02 eta: 18:48:06 time: 1.0351 data_time: 0.0332 memory: 21548 grad_norm: 3.8323 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3831 loss: 1.3831 2022/08/01 05:56:19 - mmengine - INFO - Epoch(train) [22][740/940] lr: 1.0000e-02 eta: 18:47:44 time: 0.8697 data_time: 0.0420 memory: 21548 grad_norm: 3.9233 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4447 loss: 1.4447 2022/08/01 05:56:41 - mmengine - INFO - Epoch(train) [22][760/940] lr: 1.0000e-02 eta: 18:47:41 time: 1.1325 data_time: 0.0311 memory: 21548 grad_norm: 3.8758 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.4127 loss: 1.4127 2022/08/01 05:56:58 - mmengine - INFO - Epoch(train) [22][780/940] lr: 1.0000e-02 eta: 18:47:18 time: 0.8481 data_time: 0.0379 memory: 21548 grad_norm: 3.9021 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4311 loss: 1.4311 2022/08/01 05:57:19 - mmengine - INFO - Epoch(train) [22][800/940] lr: 1.0000e-02 eta: 18:47:06 time: 1.0142 data_time: 0.0348 memory: 21548 grad_norm: 3.8990 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3517 loss: 1.3517 2022/08/01 05:57:37 - mmengine - INFO - Epoch(train) [22][820/940] lr: 1.0000e-02 eta: 18:46:48 time: 0.9288 data_time: 0.0357 memory: 21548 grad_norm: 3.9370 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3464 loss: 1.3464 2022/08/01 05:57:58 - mmengine - INFO - Epoch(train) [22][840/940] lr: 1.0000e-02 eta: 18:46:40 time: 1.0627 data_time: 0.0370 memory: 21548 grad_norm: 3.8391 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2684 loss: 1.2684 2022/08/01 05:58:15 - mmengine - INFO - Epoch(train) [22][860/940] lr: 1.0000e-02 eta: 18:46:15 time: 0.8358 data_time: 0.1042 memory: 21548 grad_norm: 3.8138 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2989 loss: 1.2989 2022/08/01 05:58:37 - mmengine - INFO - Epoch(train) [22][880/940] lr: 1.0000e-02 eta: 18:46:08 time: 1.0788 data_time: 0.0339 memory: 21548 grad_norm: 3.8896 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2950 loss: 1.2950 2022/08/01 05:58:59 - mmengine - INFO - Epoch(train) [22][900/940] lr: 1.0000e-02 eta: 18:46:04 time: 1.1241 data_time: 0.0357 memory: 21548 grad_norm: 3.8734 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4005 loss: 1.4005 2022/08/01 05:59:19 - mmengine - INFO - Epoch(train) [22][920/940] lr: 1.0000e-02 eta: 18:45:50 time: 0.9785 data_time: 0.0363 memory: 21548 grad_norm: 3.8754 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3912 loss: 1.3912 2022/08/01 05:59:34 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 05:59:34 - mmengine - INFO - Epoch(train) [22][940/940] lr: 1.0000e-02 eta: 18:45:22 time: 0.7840 data_time: 0.0285 memory: 21548 grad_norm: 4.0997 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.3784 loss: 1.3784 2022/08/01 06:00:10 - mmengine - INFO - Epoch(val) [22][20/78] eta: 0:01:42 time: 1.7592 data_time: 1.6454 memory: 3271 2022/08/01 06:00:22 - mmengine - INFO - Epoch(val) [22][40/78] eta: 0:00:23 time: 0.6216 data_time: 0.5114 memory: 3271 2022/08/01 06:00:44 - mmengine - INFO - Epoch(val) [22][60/78] eta: 0:00:19 time: 1.0912 data_time: 0.9793 memory: 3271 2022/08/01 06:01:07 - mmengine - INFO - Epoch(val) [22][78/78] acc/top1: 0.6517 acc/top5: 0.8613 acc/mean1: 0.6515 2022/08/01 06:01:41 - mmengine - INFO - Epoch(train) [23][20/940] lr: 1.0000e-02 eta: 18:45:59 time: 1.7032 data_time: 0.3719 memory: 21548 grad_norm: 3.7981 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3948 loss: 1.3948 2022/08/01 06:01:56 - mmengine - INFO - Epoch(train) [23][40/940] lr: 1.0000e-02 eta: 18:45:29 time: 0.7633 data_time: 0.0446 memory: 21548 grad_norm: 3.7125 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2736 loss: 1.2736 2022/08/01 06:02:22 - mmengine - INFO - Epoch(train) [23][60/940] lr: 1.0000e-02 eta: 18:45:39 time: 1.3183 data_time: 0.0396 memory: 21548 grad_norm: 3.7922 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4804 loss: 1.4804 2022/08/01 06:02:41 - mmengine - INFO - Epoch(train) [23][80/940] lr: 1.0000e-02 eta: 18:45:22 time: 0.9464 data_time: 0.0300 memory: 21548 grad_norm: 3.8733 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3954 loss: 1.3954 2022/08/01 06:03:02 - mmengine - INFO - Epoch(train) [23][100/940] lr: 1.0000e-02 eta: 18:45:12 time: 1.0493 data_time: 0.0349 memory: 21548 grad_norm: 3.8813 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3664 loss: 1.3664 2022/08/01 06:03:20 - mmengine - INFO - Epoch(train) [23][120/940] lr: 1.0000e-02 eta: 18:44:52 time: 0.8945 data_time: 0.0309 memory: 21548 grad_norm: 3.8326 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.3418 loss: 1.3418 2022/08/01 06:03:41 - mmengine - INFO - Epoch(train) [23][140/940] lr: 1.0000e-02 eta: 18:44:41 time: 1.0324 data_time: 0.0353 memory: 21548 grad_norm: 3.8346 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2562 loss: 1.2562 2022/08/01 06:04:00 - mmengine - INFO - Epoch(train) [23][160/940] lr: 1.0000e-02 eta: 18:44:24 time: 0.9349 data_time: 0.0366 memory: 21548 grad_norm: 3.8105 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3417 loss: 1.3417 2022/08/01 06:04:24 - mmengine - INFO - Epoch(train) [23][180/940] lr: 1.0000e-02 eta: 18:44:27 time: 1.2296 data_time: 0.0331 memory: 21548 grad_norm: 3.8902 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.2157 loss: 1.2157 2022/08/01 06:04:54 - mmengine - INFO - Epoch(train) [23][200/940] lr: 1.0000e-02 eta: 18:44:48 time: 1.4893 data_time: 0.0253 memory: 21548 grad_norm: 3.8684 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3397 loss: 1.3397 2022/08/01 06:05:15 - mmengine - INFO - Epoch(train) [23][220/940] lr: 1.0000e-02 eta: 18:44:39 time: 1.0579 data_time: 0.0349 memory: 21548 grad_norm: 3.7993 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2975 loss: 1.2975 2022/08/01 06:05:39 - mmengine - INFO - Epoch(train) [23][240/940] lr: 1.0000e-02 eta: 18:44:40 time: 1.1963 data_time: 0.0341 memory: 21548 grad_norm: 3.7634 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2764 loss: 1.2764 2022/08/01 06:06:02 - mmengine - INFO - Epoch(train) [23][260/940] lr: 1.0000e-02 eta: 18:44:36 time: 1.1399 data_time: 0.0335 memory: 21548 grad_norm: 3.7928 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2512 loss: 1.2512 2022/08/01 06:06:19 - mmengine - INFO - Epoch(train) [23][280/940] lr: 1.0000e-02 eta: 18:44:15 time: 0.8787 data_time: 0.0488 memory: 21548 grad_norm: 3.8192 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3514 loss: 1.3514 2022/08/01 06:06:45 - mmengine - INFO - Epoch(train) [23][300/940] lr: 1.0000e-02 eta: 18:44:21 time: 1.2772 data_time: 0.0370 memory: 21548 grad_norm: 3.8765 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2863 loss: 1.2863 2022/08/01 06:07:01 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 06:07:01 - mmengine - INFO - Epoch(train) [23][320/940] lr: 1.0000e-02 eta: 18:43:54 time: 0.8029 data_time: 0.0383 memory: 21548 grad_norm: 3.9694 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.5286 loss: 1.5286 2022/08/01 06:07:22 - mmengine - INFO - Epoch(train) [23][340/940] lr: 1.0000e-02 eta: 18:43:44 time: 1.0396 data_time: 0.0446 memory: 21548 grad_norm: 3.7867 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3055 loss: 1.3055 2022/08/01 06:07:45 - mmengine - INFO - Epoch(train) [23][360/940] lr: 1.0000e-02 eta: 18:43:43 time: 1.1736 data_time: 0.0302 memory: 21548 grad_norm: 3.8261 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3371 loss: 1.3371 2022/08/01 06:08:01 - mmengine - INFO - Epoch(train) [23][380/940] lr: 1.0000e-02 eta: 18:43:14 time: 0.7821 data_time: 0.0346 memory: 21548 grad_norm: 3.9256 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3022 loss: 1.3022 2022/08/01 06:08:19 - mmengine - INFO - Epoch(train) [23][400/940] lr: 1.0000e-02 eta: 18:42:53 time: 0.8792 data_time: 0.0396 memory: 21548 grad_norm: 3.8641 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4350 loss: 1.4350 2022/08/01 06:08:40 - mmengine - INFO - Epoch(train) [23][420/940] lr: 1.0000e-02 eta: 18:42:44 time: 1.0691 data_time: 0.2804 memory: 21548 grad_norm: 3.8356 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3451 loss: 1.3451 2022/08/01 06:09:02 - mmengine - INFO - Epoch(train) [23][440/940] lr: 1.0000e-02 eta: 18:42:37 time: 1.0815 data_time: 0.4023 memory: 21548 grad_norm: 3.8774 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2746 loss: 1.2746 2022/08/01 06:09:23 - mmengine - INFO - Epoch(train) [23][460/940] lr: 1.0000e-02 eta: 18:42:30 time: 1.0907 data_time: 0.5796 memory: 21548 grad_norm: 3.8285 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3176 loss: 1.3176 2022/08/01 06:09:44 - mmengine - INFO - Epoch(train) [23][480/940] lr: 1.0000e-02 eta: 18:42:18 time: 1.0260 data_time: 0.2932 memory: 21548 grad_norm: 3.9136 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.3175 loss: 1.3175 2022/08/01 06:10:05 - mmengine - INFO - Epoch(train) [23][500/940] lr: 1.0000e-02 eta: 18:42:08 time: 1.0415 data_time: 0.4841 memory: 21548 grad_norm: 3.8324 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2888 loss: 1.2888 2022/08/01 06:10:25 - mmengine - INFO - Epoch(train) [23][520/940] lr: 1.0000e-02 eta: 18:41:56 time: 1.0261 data_time: 0.4763 memory: 21548 grad_norm: 3.7910 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3206 loss: 1.3206 2022/08/01 06:10:45 - mmengine - INFO - Epoch(train) [23][540/940] lr: 1.0000e-02 eta: 18:41:43 time: 1.0014 data_time: 0.5786 memory: 21548 grad_norm: 3.9577 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4301 loss: 1.4301 2022/08/01 06:11:02 - mmengine - INFO - Epoch(train) [23][560/940] lr: 1.0000e-02 eta: 18:41:19 time: 0.8441 data_time: 0.4303 memory: 21548 grad_norm: 3.8722 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3123 loss: 1.3123 2022/08/01 06:11:24 - mmengine - INFO - Epoch(train) [23][580/940] lr: 1.0000e-02 eta: 18:41:10 time: 1.0726 data_time: 0.4337 memory: 21548 grad_norm: 3.9438 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3245 loss: 1.3245 2022/08/01 06:11:52 - mmengine - INFO - Epoch(train) [23][600/940] lr: 1.0000e-02 eta: 18:41:24 time: 1.3915 data_time: 0.0292 memory: 21548 grad_norm: 3.9367 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4179 loss: 1.4179 2022/08/01 06:12:12 - mmengine - INFO - Epoch(train) [23][620/940] lr: 1.0000e-02 eta: 18:41:11 time: 1.0060 data_time: 0.0333 memory: 21548 grad_norm: 3.8947 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.5384 loss: 1.5384 2022/08/01 06:12:33 - mmengine - INFO - Epoch(train) [23][640/940] lr: 1.0000e-02 eta: 18:41:01 time: 1.0554 data_time: 0.0387 memory: 21548 grad_norm: 3.9473 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4048 loss: 1.4048 2022/08/01 06:12:48 - mmengine - INFO - Epoch(train) [23][660/940] lr: 1.0000e-02 eta: 18:40:31 time: 0.7579 data_time: 0.0373 memory: 21548 grad_norm: 3.9709 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3815 loss: 1.3815 2022/08/01 06:13:07 - mmengine - INFO - Epoch(train) [23][680/940] lr: 1.0000e-02 eta: 18:40:15 time: 0.9585 data_time: 0.0341 memory: 21548 grad_norm: 3.9389 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2851 loss: 1.2851 2022/08/01 06:13:24 - mmengine - INFO - Epoch(train) [23][700/940] lr: 1.0000e-02 eta: 18:39:52 time: 0.8603 data_time: 0.1314 memory: 21548 grad_norm: 3.9726 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3268 loss: 1.3268 2022/08/01 06:13:41 - mmengine - INFO - Epoch(train) [23][720/940] lr: 1.0000e-02 eta: 18:39:29 time: 0.8630 data_time: 0.2932 memory: 21548 grad_norm: 3.9830 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2871 loss: 1.2871 2022/08/01 06:14:01 - mmengine - INFO - Epoch(train) [23][740/940] lr: 1.0000e-02 eta: 18:39:15 time: 0.9784 data_time: 0.4964 memory: 21548 grad_norm: 3.9694 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3743 loss: 1.3743 2022/08/01 06:14:17 - mmengine - INFO - Epoch(train) [23][760/940] lr: 1.0000e-02 eta: 18:38:49 time: 0.8157 data_time: 0.2812 memory: 21548 grad_norm: 3.8504 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2160 loss: 1.2160 2022/08/01 06:14:35 - mmengine - INFO - Epoch(train) [23][780/940] lr: 1.0000e-02 eta: 18:38:28 time: 0.8958 data_time: 0.4797 memory: 21548 grad_norm: 3.9784 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3308 loss: 1.3308 2022/08/01 06:14:51 - mmengine - INFO - Epoch(train) [23][800/940] lr: 1.0000e-02 eta: 18:38:01 time: 0.7908 data_time: 0.2641 memory: 21548 grad_norm: 4.0289 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4340 loss: 1.4340 2022/08/01 06:15:11 - mmengine - INFO - Epoch(train) [23][820/940] lr: 1.0000e-02 eta: 18:37:47 time: 0.9983 data_time: 0.5444 memory: 21548 grad_norm: 3.9126 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3638 loss: 1.3638 2022/08/01 06:15:26 - mmengine - INFO - Epoch(train) [23][840/940] lr: 1.0000e-02 eta: 18:37:18 time: 0.7628 data_time: 0.3063 memory: 21548 grad_norm: 3.9024 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3300 loss: 1.3300 2022/08/01 06:15:45 - mmengine - INFO - Epoch(train) [23][860/940] lr: 1.0000e-02 eta: 18:36:59 time: 0.9169 data_time: 0.3872 memory: 21548 grad_norm: 3.8574 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3448 loss: 1.3448 2022/08/01 06:16:00 - mmengine - INFO - Epoch(train) [23][880/940] lr: 1.0000e-02 eta: 18:36:29 time: 0.7592 data_time: 0.2737 memory: 21548 grad_norm: 3.9635 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1965 loss: 1.1965 2022/08/01 06:16:18 - mmengine - INFO - Epoch(train) [23][900/940] lr: 1.0000e-02 eta: 18:36:10 time: 0.9203 data_time: 0.4422 memory: 21548 grad_norm: 3.9237 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.2835 loss: 1.2835 2022/08/01 06:16:35 - mmengine - INFO - Epoch(train) [23][920/940] lr: 1.0000e-02 eta: 18:35:47 time: 0.8574 data_time: 0.2784 memory: 21548 grad_norm: 3.9334 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.4081 loss: 1.4081 2022/08/01 06:16:49 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 06:16:49 - mmengine - INFO - Epoch(train) [23][940/940] lr: 1.0000e-02 eta: 18:35:11 time: 0.6636 data_time: 0.2486 memory: 21548 grad_norm: 4.1207 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.3805 loss: 1.3805 2022/08/01 06:17:10 - mmengine - INFO - Epoch(val) [23][20/78] eta: 0:01:00 time: 1.0498 data_time: 0.9250 memory: 3271 2022/08/01 06:17:24 - mmengine - INFO - Epoch(val) [23][40/78] eta: 0:00:26 time: 0.6892 data_time: 0.5673 memory: 3271 2022/08/01 06:17:43 - mmengine - INFO - Epoch(val) [23][60/78] eta: 0:00:17 time: 0.9605 data_time: 0.8418 memory: 3271 2022/08/01 06:18:06 - mmengine - INFO - Epoch(val) [23][78/78] acc/top1: 0.6700 acc/top5: 0.8783 acc/mean1: 0.6699 2022/08/01 06:18:29 - mmengine - INFO - Epoch(train) [24][20/940] lr: 1.0000e-02 eta: 18:35:07 time: 1.1434 data_time: 0.5968 memory: 21548 grad_norm: 3.8430 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.3691 loss: 1.3691 2022/08/01 06:18:45 - mmengine - INFO - Epoch(train) [24][40/940] lr: 1.0000e-02 eta: 18:34:41 time: 0.8145 data_time: 0.3577 memory: 21548 grad_norm: 3.8160 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2296 loss: 1.2296 2022/08/01 06:19:04 - mmengine - INFO - Epoch(train) [24][60/940] lr: 1.0000e-02 eta: 18:34:27 time: 0.9811 data_time: 0.4824 memory: 21548 grad_norm: 3.9508 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4145 loss: 1.4145 2022/08/01 06:19:20 - mmengine - INFO - Epoch(train) [24][80/940] lr: 1.0000e-02 eta: 18:34:00 time: 0.8006 data_time: 0.3023 memory: 21548 grad_norm: 3.8146 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3215 loss: 1.3215 2022/08/01 06:19:40 - mmengine - INFO - Epoch(train) [24][100/940] lr: 1.0000e-02 eta: 18:33:44 time: 0.9678 data_time: 0.3730 memory: 21548 grad_norm: 3.9264 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.4106 loss: 1.4106 2022/08/01 06:19:56 - mmengine - INFO - Epoch(train) [24][120/940] lr: 1.0000e-02 eta: 18:33:19 time: 0.8227 data_time: 0.2245 memory: 21548 grad_norm: 3.8686 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4813 loss: 1.4813 2022/08/01 06:20:15 - mmengine - INFO - Epoch(train) [24][140/940] lr: 1.0000e-02 eta: 18:33:01 time: 0.9371 data_time: 0.3108 memory: 21548 grad_norm: 3.9244 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2225 loss: 1.2225 2022/08/01 06:20:30 - mmengine - INFO - Epoch(train) [24][160/940] lr: 1.0000e-02 eta: 18:32:30 time: 0.7350 data_time: 0.2901 memory: 21548 grad_norm: 3.8537 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.2868 loss: 1.2868 2022/08/01 06:20:50 - mmengine - INFO - Epoch(train) [24][180/940] lr: 1.0000e-02 eta: 18:32:18 time: 1.0116 data_time: 0.5609 memory: 21548 grad_norm: 3.9389 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.2840 loss: 1.2840 2022/08/01 06:21:06 - mmengine - INFO - Epoch(train) [24][200/940] lr: 1.0000e-02 eta: 18:31:50 time: 0.7781 data_time: 0.3590 memory: 21548 grad_norm: 3.8783 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3711 loss: 1.3711 2022/08/01 06:21:26 - mmengine - INFO - Epoch(train) [24][220/940] lr: 1.0000e-02 eta: 18:31:37 time: 1.0166 data_time: 0.5744 memory: 21548 grad_norm: 3.9281 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3968 loss: 1.3968 2022/08/01 06:21:41 - mmengine - INFO - Epoch(train) [24][240/940] lr: 1.0000e-02 eta: 18:31:08 time: 0.7640 data_time: 0.3411 memory: 21548 grad_norm: 3.8326 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2263 loss: 1.2263 2022/08/01 06:22:02 - mmengine - INFO - Epoch(train) [24][260/940] lr: 1.0000e-02 eta: 18:30:56 time: 1.0211 data_time: 0.3859 memory: 21548 grad_norm: 3.8616 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1897 loss: 1.1897 2022/08/01 06:22:17 - mmengine - INFO - Epoch(train) [24][280/940] lr: 1.0000e-02 eta: 18:30:29 time: 0.7893 data_time: 0.0332 memory: 21548 grad_norm: 3.8689 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.3011 loss: 1.3011 2022/08/01 06:22:35 - mmengine - INFO - Epoch(train) [24][300/940] lr: 1.0000e-02 eta: 18:30:06 time: 0.8662 data_time: 0.0770 memory: 21548 grad_norm: 3.9718 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3764 loss: 1.3764 2022/08/01 06:22:58 - mmengine - INFO - Epoch(train) [24][320/940] lr: 1.0000e-02 eta: 18:30:05 time: 1.1819 data_time: 0.0703 memory: 21548 grad_norm: 3.9280 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2970 loss: 1.2970 2022/08/01 06:23:19 - mmengine - INFO - Epoch(train) [24][340/940] lr: 1.0000e-02 eta: 18:29:54 time: 1.0497 data_time: 0.0317 memory: 21548 grad_norm: 3.8890 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3127 loss: 1.3127 2022/08/01 06:23:37 - mmengine - INFO - Epoch(train) [24][360/940] lr: 1.0000e-02 eta: 18:29:34 time: 0.8931 data_time: 0.0396 memory: 21548 grad_norm: 3.9649 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3199 loss: 1.3199 2022/08/01 06:23:54 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 06:23:54 - mmengine - INFO - Epoch(train) [24][380/940] lr: 1.0000e-02 eta: 18:29:10 time: 0.8390 data_time: 0.3876 memory: 21548 grad_norm: 3.9077 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3344 loss: 1.3344 2022/08/01 06:24:11 - mmengine - INFO - Epoch(train) [24][400/940] lr: 1.0000e-02 eta: 18:28:46 time: 0.8466 data_time: 0.3846 memory: 21548 grad_norm: 3.9966 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.3488 loss: 1.3488 2022/08/01 06:24:29 - mmengine - INFO - Epoch(train) [24][420/940] lr: 1.0000e-02 eta: 18:28:28 time: 0.9276 data_time: 0.4921 memory: 21548 grad_norm: 4.0377 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2986 loss: 1.2986 2022/08/01 06:24:47 - mmengine - INFO - Epoch(train) [24][440/940] lr: 1.0000e-02 eta: 18:28:07 time: 0.8837 data_time: 0.4425 memory: 21548 grad_norm: 3.8654 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3054 loss: 1.3054 2022/08/01 06:25:06 - mmengine - INFO - Epoch(train) [24][460/940] lr: 1.0000e-02 eta: 18:27:50 time: 0.9469 data_time: 0.5021 memory: 21548 grad_norm: 3.9151 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3028 loss: 1.3028 2022/08/01 06:25:20 - mmengine - INFO - Epoch(train) [24][480/940] lr: 1.0000e-02 eta: 18:27:17 time: 0.7023 data_time: 0.2663 memory: 21548 grad_norm: 4.0444 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.2229 loss: 1.2229 2022/08/01 06:25:40 - mmengine - INFO - Epoch(train) [24][500/940] lr: 1.0000e-02 eta: 18:27:03 time: 0.9882 data_time: 0.0414 memory: 21548 grad_norm: 3.9913 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.3794 loss: 1.3794 2022/08/01 06:25:56 - mmengine - INFO - Epoch(train) [24][520/940] lr: 1.0000e-02 eta: 18:26:36 time: 0.7951 data_time: 0.0323 memory: 21548 grad_norm: 3.8769 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1647 loss: 1.1647 2022/08/01 06:26:22 - mmengine - INFO - Epoch(train) [24][540/940] lr: 1.0000e-02 eta: 18:26:43 time: 1.3178 data_time: 0.0504 memory: 21548 grad_norm: 3.8075 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3886 loss: 1.3886 2022/08/01 06:26:42 - mmengine - INFO - Epoch(train) [24][560/940] lr: 1.0000e-02 eta: 18:26:30 time: 1.0070 data_time: 0.0323 memory: 21548 grad_norm: 3.8946 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2566 loss: 1.2566 2022/08/01 06:27:01 - mmengine - INFO - Epoch(train) [24][580/940] lr: 1.0000e-02 eta: 18:26:11 time: 0.9148 data_time: 0.0312 memory: 21548 grad_norm: 3.9412 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3130 loss: 1.3130 2022/08/01 06:27:21 - mmengine - INFO - Epoch(train) [24][600/940] lr: 1.0000e-02 eta: 18:25:59 time: 1.0371 data_time: 0.0375 memory: 21548 grad_norm: 3.9745 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4307 loss: 1.4307 2022/08/01 06:27:38 - mmengine - INFO - Epoch(train) [24][620/940] lr: 1.0000e-02 eta: 18:25:34 time: 0.8222 data_time: 0.0369 memory: 21548 grad_norm: 3.8584 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 1.3218 loss: 1.3218 2022/08/01 06:27:56 - mmengine - INFO - Epoch(train) [24][640/940] lr: 1.0000e-02 eta: 18:25:14 time: 0.8994 data_time: 0.0403 memory: 21548 grad_norm: 3.9566 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.3932 loss: 1.3932 2022/08/01 06:28:13 - mmengine - INFO - Epoch(train) [24][660/940] lr: 1.0000e-02 eta: 18:24:50 time: 0.8369 data_time: 0.0393 memory: 21548 grad_norm: 3.8900 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.2266 loss: 1.2266 2022/08/01 06:28:32 - mmengine - INFO - Epoch(train) [24][680/940] lr: 1.0000e-02 eta: 18:24:36 time: 0.9975 data_time: 0.0371 memory: 21548 grad_norm: 3.9363 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3778 loss: 1.3778 2022/08/01 06:28:48 - mmengine - INFO - Epoch(train) [24][700/940] lr: 1.0000e-02 eta: 18:24:08 time: 0.7757 data_time: 0.0399 memory: 21548 grad_norm: 3.9805 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2380 loss: 1.2380 2022/08/01 06:29:05 - mmengine - INFO - Epoch(train) [24][720/940] lr: 1.0000e-02 eta: 18:23:45 time: 0.8465 data_time: 0.0385 memory: 21548 grad_norm: 3.9171 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4437 loss: 1.4437 2022/08/01 06:29:22 - mmengine - INFO - Epoch(train) [24][740/940] lr: 1.0000e-02 eta: 18:23:22 time: 0.8607 data_time: 0.0446 memory: 21548 grad_norm: 4.0019 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.5530 loss: 1.5530 2022/08/01 06:29:38 - mmengine - INFO - Epoch(train) [24][760/940] lr: 1.0000e-02 eta: 18:22:56 time: 0.8072 data_time: 0.0365 memory: 21548 grad_norm: 3.9331 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3584 loss: 1.3584 2022/08/01 06:29:57 - mmengine - INFO - Epoch(train) [24][780/940] lr: 1.0000e-02 eta: 18:22:39 time: 0.9380 data_time: 0.0454 memory: 21548 grad_norm: 3.7955 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1598 loss: 1.1598 2022/08/01 06:30:14 - mmengine - INFO - Epoch(train) [24][800/940] lr: 1.0000e-02 eta: 18:22:16 time: 0.8547 data_time: 0.0380 memory: 21548 grad_norm: 3.9662 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.2792 loss: 1.2792 2022/08/01 06:30:34 - mmengine - INFO - Epoch(train) [24][820/940] lr: 1.0000e-02 eta: 18:22:02 time: 1.0016 data_time: 0.0369 memory: 21548 grad_norm: 3.9685 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.3561 loss: 1.3561 2022/08/01 06:30:52 - mmengine - INFO - Epoch(train) [24][840/940] lr: 1.0000e-02 eta: 18:21:40 time: 0.8678 data_time: 0.0380 memory: 21548 grad_norm: 3.8788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3819 loss: 1.3819 2022/08/01 06:31:10 - mmengine - INFO - Epoch(train) [24][860/940] lr: 1.0000e-02 eta: 18:21:21 time: 0.9049 data_time: 0.0430 memory: 21548 grad_norm: 3.8974 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3728 loss: 1.3728 2022/08/01 06:31:26 - mmengine - INFO - Epoch(train) [24][880/940] lr: 1.0000e-02 eta: 18:20:57 time: 0.8415 data_time: 0.0379 memory: 21548 grad_norm: 3.9417 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.4092 loss: 1.4092 2022/08/01 06:31:47 - mmengine - INFO - Epoch(train) [24][900/940] lr: 1.0000e-02 eta: 18:20:44 time: 1.0168 data_time: 0.0366 memory: 21548 grad_norm: 3.8940 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4099 loss: 1.4099 2022/08/01 06:32:02 - mmengine - INFO - Epoch(train) [24][920/940] lr: 1.0000e-02 eta: 18:20:15 time: 0.7566 data_time: 0.0441 memory: 21548 grad_norm: 3.9139 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.2384 loss: 1.2384 2022/08/01 06:32:16 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 06:32:16 - mmengine - INFO - Epoch(train) [24][940/940] lr: 1.0000e-02 eta: 18:19:43 time: 0.7007 data_time: 0.0287 memory: 21548 grad_norm: 4.2104 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.3793 loss: 1.3793 2022/08/01 06:32:16 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/08/01 06:32:41 - mmengine - INFO - Epoch(val) [24][20/78] eta: 0:01:09 time: 1.2059 data_time: 1.0878 memory: 3271 2022/08/01 06:32:53 - mmengine - INFO - Epoch(val) [24][40/78] eta: 0:00:22 time: 0.6020 data_time: 0.4775 memory: 3271 2022/08/01 06:33:12 - mmengine - INFO - Epoch(val) [24][60/78] eta: 0:00:16 time: 0.9327 data_time: 0.8088 memory: 3271 2022/08/01 06:33:37 - mmengine - INFO - Epoch(val) [24][78/78] acc/top1: 0.6804 acc/top5: 0.8829 acc/mean1: 0.6803 2022/08/01 06:33:37 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_22.pth is removed 2022/08/01 06:33:38 - mmengine - INFO - The best checkpoint with 0.6804 acc/top1 at 25 epoch is saved to best_acc/top1_epoch_25.pth. 2022/08/01 06:34:00 - mmengine - INFO - Epoch(train) [25][20/940] lr: 1.0000e-02 eta: 18:19:35 time: 1.0895 data_time: 0.6427 memory: 21548 grad_norm: 3.8499 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4441 loss: 1.4441 2022/08/01 06:34:17 - mmengine - INFO - Epoch(train) [25][40/940] lr: 1.0000e-02 eta: 18:19:13 time: 0.8786 data_time: 0.4484 memory: 21548 grad_norm: 3.9083 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.2836 loss: 1.2836 2022/08/01 06:34:36 - mmengine - INFO - Epoch(train) [25][60/940] lr: 1.0000e-02 eta: 18:18:56 time: 0.9371 data_time: 0.5254 memory: 21548 grad_norm: 3.8993 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4024 loss: 1.4024 2022/08/01 06:34:53 - mmengine - INFO - Epoch(train) [25][80/940] lr: 1.0000e-02 eta: 18:18:32 time: 0.8374 data_time: 0.3253 memory: 21548 grad_norm: 3.8047 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2369 loss: 1.2369 2022/08/01 06:35:12 - mmengine - INFO - Epoch(train) [25][100/940] lr: 1.0000e-02 eta: 18:18:14 time: 0.9307 data_time: 0.5068 memory: 21548 grad_norm: 3.8195 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.3244 loss: 1.3244 2022/08/01 06:35:30 - mmengine - INFO - Epoch(train) [25][120/940] lr: 1.0000e-02 eta: 18:17:54 time: 0.9070 data_time: 0.0533 memory: 21548 grad_norm: 3.9905 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4111 loss: 1.4111 2022/08/01 06:35:51 - mmengine - INFO - Epoch(train) [25][140/940] lr: 1.0000e-02 eta: 18:17:43 time: 1.0471 data_time: 0.0573 memory: 21548 grad_norm: 4.0235 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3875 loss: 1.3875 2022/08/01 06:36:06 - mmengine - INFO - Epoch(train) [25][160/940] lr: 1.0000e-02 eta: 18:17:14 time: 0.7486 data_time: 0.0349 memory: 21548 grad_norm: 3.8779 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3232 loss: 1.3232 2022/08/01 06:36:31 - mmengine - INFO - Epoch(train) [25][180/940] lr: 1.0000e-02 eta: 18:17:18 time: 1.2864 data_time: 0.0383 memory: 21548 grad_norm: 3.9605 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2825 loss: 1.2825 2022/08/01 06:36:46 - mmengine - INFO - Epoch(train) [25][200/940] lr: 1.0000e-02 eta: 18:16:49 time: 0.7555 data_time: 0.0366 memory: 21548 grad_norm: 3.8984 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2927 loss: 1.2927 2022/08/01 06:37:07 - mmengine - INFO - Epoch(train) [25][220/940] lr: 1.0000e-02 eta: 18:16:36 time: 1.0070 data_time: 0.0319 memory: 21548 grad_norm: 3.9177 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2388 loss: 1.2388 2022/08/01 06:37:25 - mmengine - INFO - Epoch(train) [25][240/940] lr: 1.0000e-02 eta: 18:16:16 time: 0.9017 data_time: 0.0369 memory: 21548 grad_norm: 3.9916 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3630 loss: 1.3630 2022/08/01 06:37:43 - mmengine - INFO - Epoch(train) [25][260/940] lr: 1.0000e-02 eta: 18:15:57 time: 0.9192 data_time: 0.0361 memory: 21548 grad_norm: 3.9307 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3488 loss: 1.3488 2022/08/01 06:37:59 - mmengine - INFO - Epoch(train) [25][280/940] lr: 1.0000e-02 eta: 18:15:29 time: 0.7705 data_time: 0.0510 memory: 21548 grad_norm: 3.8845 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2352 loss: 1.2352 2022/08/01 06:38:17 - mmengine - INFO - Epoch(train) [25][300/940] lr: 1.0000e-02 eta: 18:15:10 time: 0.9141 data_time: 0.0465 memory: 21548 grad_norm: 3.8312 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2616 loss: 1.2616 2022/08/01 06:38:32 - mmengine - INFO - Epoch(train) [25][320/940] lr: 1.0000e-02 eta: 18:14:42 time: 0.7699 data_time: 0.1494 memory: 21548 grad_norm: 3.9002 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2588 loss: 1.2588 2022/08/01 06:38:53 - mmengine - INFO - Epoch(train) [25][340/940] lr: 1.0000e-02 eta: 18:14:31 time: 1.0466 data_time: 0.0311 memory: 21548 grad_norm: 3.8616 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3845 loss: 1.3845 2022/08/01 06:39:14 - mmengine - INFO - Epoch(train) [25][360/940] lr: 1.0000e-02 eta: 18:14:21 time: 1.0548 data_time: 0.0393 memory: 21548 grad_norm: 3.8893 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2738 loss: 1.2738 2022/08/01 06:39:32 - mmengine - INFO - Epoch(train) [25][380/940] lr: 1.0000e-02 eta: 18:14:01 time: 0.8946 data_time: 0.0408 memory: 21548 grad_norm: 3.9203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3362 loss: 1.3362 2022/08/01 06:39:53 - mmengine - INFO - Epoch(train) [25][400/940] lr: 1.0000e-02 eta: 18:13:49 time: 1.0347 data_time: 0.0253 memory: 21548 grad_norm: 4.0027 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2696 loss: 1.2696 2022/08/01 06:40:19 - mmengine - INFO - Epoch(train) [25][420/940] lr: 1.0000e-02 eta: 18:13:53 time: 1.2937 data_time: 0.0347 memory: 21548 grad_norm: 4.0252 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3703 loss: 1.3703 2022/08/01 06:40:35 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 06:40:35 - mmengine - INFO - Epoch(train) [25][440/940] lr: 1.0000e-02 eta: 18:13:28 time: 0.8180 data_time: 0.0365 memory: 21548 grad_norm: 4.0041 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3604 loss: 1.3604 2022/08/01 06:40:55 - mmengine - INFO - Epoch(train) [25][460/940] lr: 1.0000e-02 eta: 18:13:13 time: 0.9776 data_time: 0.0340 memory: 21548 grad_norm: 3.9217 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3031 loss: 1.3031 2022/08/01 06:41:10 - mmengine - INFO - Epoch(train) [25][480/940] lr: 1.0000e-02 eta: 18:12:46 time: 0.7839 data_time: 0.0364 memory: 21548 grad_norm: 3.8550 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3184 loss: 1.3184 2022/08/01 06:41:27 - mmengine - INFO - Epoch(train) [25][500/940] lr: 1.0000e-02 eta: 18:12:24 time: 0.8644 data_time: 0.0396 memory: 21548 grad_norm: 3.8517 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2878 loss: 1.2878 2022/08/01 06:41:45 - mmengine - INFO - Epoch(train) [25][520/940] lr: 1.0000e-02 eta: 18:12:02 time: 0.8701 data_time: 0.0415 memory: 21548 grad_norm: 4.0206 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3992 loss: 1.3992 2022/08/01 06:42:05 - mmengine - INFO - Epoch(train) [25][540/940] lr: 1.0000e-02 eta: 18:11:50 time: 1.0224 data_time: 0.0355 memory: 21548 grad_norm: 3.9776 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3647 loss: 1.3647 2022/08/01 06:42:22 - mmengine - INFO - Epoch(train) [25][560/940] lr: 1.0000e-02 eta: 18:11:25 time: 0.8213 data_time: 0.0431 memory: 21548 grad_norm: 3.8907 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.2749 loss: 1.2749 2022/08/01 06:42:41 - mmengine - INFO - Epoch(train) [25][580/940] lr: 1.0000e-02 eta: 18:11:07 time: 0.9300 data_time: 0.0418 memory: 21548 grad_norm: 3.8498 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2900 loss: 1.2900 2022/08/01 06:42:58 - mmengine - INFO - Epoch(train) [25][600/940] lr: 1.0000e-02 eta: 18:10:46 time: 0.8877 data_time: 0.0428 memory: 21548 grad_norm: 3.8690 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3294 loss: 1.3294 2022/08/01 06:43:20 - mmengine - INFO - Epoch(train) [25][620/940] lr: 1.0000e-02 eta: 18:10:39 time: 1.1079 data_time: 0.0420 memory: 21548 grad_norm: 3.9200 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3209 loss: 1.3209 2022/08/01 06:43:39 - mmengine - INFO - Epoch(train) [25][640/940] lr: 1.0000e-02 eta: 18:10:21 time: 0.9254 data_time: 0.0388 memory: 21548 grad_norm: 3.9026 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2770 loss: 1.2770 2022/08/01 06:43:57 - mmengine - INFO - Epoch(train) [25][660/940] lr: 1.0000e-02 eta: 18:10:01 time: 0.9079 data_time: 0.0334 memory: 21548 grad_norm: 3.9037 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3058 loss: 1.3058 2022/08/01 06:44:12 - mmengine - INFO - Epoch(train) [25][680/940] lr: 1.0000e-02 eta: 18:09:33 time: 0.7680 data_time: 0.0430 memory: 21548 grad_norm: 3.9971 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2702 loss: 1.2702 2022/08/01 06:44:32 - mmengine - INFO - Epoch(train) [25][700/940] lr: 1.0000e-02 eta: 18:09:17 time: 0.9556 data_time: 0.0270 memory: 21548 grad_norm: 3.9426 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3491 loss: 1.3491 2022/08/01 06:44:53 - mmengine - INFO - Epoch(train) [25][720/940] lr: 1.0000e-02 eta: 18:09:08 time: 1.0830 data_time: 0.5821 memory: 21548 grad_norm: 3.9489 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2730 loss: 1.2730 2022/08/01 06:45:10 - mmengine - INFO - Epoch(train) [25][740/940] lr: 1.0000e-02 eta: 18:08:45 time: 0.8512 data_time: 0.3084 memory: 21548 grad_norm: 3.8255 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.3290 loss: 1.3290 2022/08/01 06:45:32 - mmengine - INFO - Epoch(train) [25][760/940] lr: 1.0000e-02 eta: 18:08:36 time: 1.0755 data_time: 0.1576 memory: 21548 grad_norm: 3.8383 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2847 loss: 1.2847 2022/08/01 06:45:47 - mmengine - INFO - Epoch(train) [25][780/940] lr: 1.0000e-02 eta: 18:08:07 time: 0.7615 data_time: 0.0897 memory: 21548 grad_norm: 3.9946 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4594 loss: 1.4594 2022/08/01 06:46:04 - mmengine - INFO - Epoch(train) [25][800/940] lr: 1.0000e-02 eta: 18:07:46 time: 0.8722 data_time: 0.2411 memory: 21548 grad_norm: 3.9382 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3237 loss: 1.3237 2022/08/01 06:46:23 - mmengine - INFO - Epoch(train) [25][820/940] lr: 1.0000e-02 eta: 18:07:28 time: 0.9308 data_time: 0.2616 memory: 21548 grad_norm: 4.0026 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.4131 loss: 1.4131 2022/08/01 06:46:39 - mmengine - INFO - Epoch(train) [25][840/940] lr: 1.0000e-02 eta: 18:07:02 time: 0.8022 data_time: 0.2618 memory: 21548 grad_norm: 3.9189 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2478 loss: 1.2478 2022/08/01 06:46:58 - mmengine - INFO - Epoch(train) [25][860/940] lr: 1.0000e-02 eta: 18:06:44 time: 0.9348 data_time: 0.4134 memory: 21548 grad_norm: 3.9580 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2218 loss: 1.2218 2022/08/01 06:47:17 - mmengine - INFO - Epoch(train) [25][880/940] lr: 1.0000e-02 eta: 18:06:27 time: 0.9444 data_time: 0.2430 memory: 21548 grad_norm: 3.9685 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3562 loss: 1.3562 2022/08/01 06:47:34 - mmengine - INFO - Epoch(train) [25][900/940] lr: 1.0000e-02 eta: 18:06:04 time: 0.8615 data_time: 0.2364 memory: 21548 grad_norm: 4.0046 top1_acc: 0.5000 top5_acc: 0.9062 loss_cls: 1.4013 loss: 1.4013 2022/08/01 06:47:53 - mmengine - INFO - Epoch(train) [25][920/940] lr: 1.0000e-02 eta: 18:05:49 time: 0.9665 data_time: 0.2507 memory: 21548 grad_norm: 3.9687 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.4889 loss: 1.4889 2022/08/01 06:48:09 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 06:48:09 - mmengine - INFO - Epoch(train) [25][940/940] lr: 1.0000e-02 eta: 18:05:21 time: 0.7779 data_time: 0.0543 memory: 21548 grad_norm: 4.1346 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.4402 loss: 1.4402 2022/08/01 06:48:36 - mmengine - INFO - Epoch(val) [25][20/78] eta: 0:01:19 time: 1.3717 data_time: 1.2594 memory: 3271 2022/08/01 06:48:54 - mmengine - INFO - Epoch(val) [25][40/78] eta: 0:00:34 time: 0.8965 data_time: 0.7877 memory: 3271 2022/08/01 06:49:12 - mmengine - INFO - Epoch(val) [25][60/78] eta: 0:00:15 time: 0.8845 data_time: 0.7597 memory: 3271 2022/08/01 06:49:48 - mmengine - INFO - Epoch(val) [25][78/78] acc/top1: 0.6714 acc/top5: 0.8736 acc/mean1: 0.6712 2022/08/01 06:50:20 - mmengine - INFO - Epoch(train) [26][20/940] lr: 1.0000e-02 eta: 18:05:41 time: 1.5541 data_time: 0.3511 memory: 21548 grad_norm: 3.8460 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2757 loss: 1.2757 2022/08/01 06:50:36 - mmengine - INFO - Epoch(train) [26][40/940] lr: 1.0000e-02 eta: 18:05:15 time: 0.8090 data_time: 0.0302 memory: 21548 grad_norm: 3.9294 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3945 loss: 1.3945 2022/08/01 06:51:00 - mmengine - INFO - Epoch(train) [26][60/940] lr: 1.0000e-02 eta: 18:05:13 time: 1.1892 data_time: 0.0305 memory: 21548 grad_norm: 4.0513 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3522 loss: 1.3522 2022/08/01 06:51:15 - mmengine - INFO - Epoch(train) [26][80/940] lr: 1.0000e-02 eta: 18:04:43 time: 0.7455 data_time: 0.0359 memory: 21548 grad_norm: 3.9610 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2546 loss: 1.2546 2022/08/01 06:51:34 - mmengine - INFO - Epoch(train) [26][100/940] lr: 1.0000e-02 eta: 18:04:27 time: 0.9634 data_time: 0.0453 memory: 21548 grad_norm: 4.0305 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2841 loss: 1.2841 2022/08/01 06:51:50 - mmengine - INFO - Epoch(train) [26][120/940] lr: 1.0000e-02 eta: 18:04:02 time: 0.8123 data_time: 0.0389 memory: 21548 grad_norm: 3.8848 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1869 loss: 1.1869 2022/08/01 06:52:09 - mmengine - INFO - Epoch(train) [26][140/940] lr: 1.0000e-02 eta: 18:03:46 time: 0.9701 data_time: 0.0401 memory: 21548 grad_norm: 3.9722 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2493 loss: 1.2493 2022/08/01 06:52:26 - mmengine - INFO - Epoch(train) [26][160/940] lr: 1.0000e-02 eta: 18:03:23 time: 0.8465 data_time: 0.0451 memory: 21548 grad_norm: 3.8793 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1332 loss: 1.1332 2022/08/01 06:52:46 - mmengine - INFO - Epoch(train) [26][180/940] lr: 1.0000e-02 eta: 18:03:09 time: 0.9955 data_time: 0.0376 memory: 21548 grad_norm: 3.8964 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2602 loss: 1.2602 2022/08/01 06:53:05 - mmengine - INFO - Epoch(train) [26][200/940] lr: 1.0000e-02 eta: 18:02:50 time: 0.9173 data_time: 0.0383 memory: 21548 grad_norm: 3.8785 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2910 loss: 1.2910 2022/08/01 06:53:21 - mmengine - INFO - Epoch(train) [26][220/940] lr: 1.0000e-02 eta: 18:02:25 time: 0.8125 data_time: 0.0373 memory: 21548 grad_norm: 3.9818 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3380 loss: 1.3380 2022/08/01 06:53:42 - mmengine - INFO - Epoch(train) [26][240/940] lr: 1.0000e-02 eta: 18:02:15 time: 1.0684 data_time: 0.0339 memory: 21548 grad_norm: 3.9692 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2343 loss: 1.2343 2022/08/01 06:54:01 - mmengine - INFO - Epoch(train) [26][260/940] lr: 1.0000e-02 eta: 18:01:58 time: 0.9535 data_time: 0.0338 memory: 21548 grad_norm: 4.0219 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.2675 loss: 1.2675 2022/08/01 06:54:23 - mmengine - INFO - Epoch(train) [26][280/940] lr: 1.0000e-02 eta: 18:01:51 time: 1.1061 data_time: 0.0324 memory: 21548 grad_norm: 4.0164 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3976 loss: 1.3976 2022/08/01 06:54:45 - mmengine - INFO - Epoch(train) [26][300/940] lr: 1.0000e-02 eta: 18:01:41 time: 1.0801 data_time: 0.0339 memory: 21548 grad_norm: 3.8667 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2922 loss: 1.2922 2022/08/01 06:55:03 - mmengine - INFO - Epoch(train) [26][320/940] lr: 1.0000e-02 eta: 18:01:21 time: 0.8981 data_time: 0.0310 memory: 21548 grad_norm: 3.9641 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3224 loss: 1.3224 2022/08/01 06:55:20 - mmengine - INFO - Epoch(train) [26][340/940] lr: 1.0000e-02 eta: 18:00:57 time: 0.8303 data_time: 0.0311 memory: 21548 grad_norm: 4.0193 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.3697 loss: 1.3697 2022/08/01 06:55:42 - mmengine - INFO - Epoch(train) [26][360/940] lr: 1.0000e-02 eta: 18:00:50 time: 1.1164 data_time: 0.0304 memory: 21548 grad_norm: 3.9476 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2788 loss: 1.2788 2022/08/01 06:55:56 - mmengine - INFO - Epoch(train) [26][380/940] lr: 1.0000e-02 eta: 18:00:19 time: 0.7189 data_time: 0.0544 memory: 21548 grad_norm: 3.8729 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2579 loss: 1.2579 2022/08/01 06:56:18 - mmengine - INFO - Epoch(train) [26][400/940] lr: 1.0000e-02 eta: 18:00:09 time: 1.0589 data_time: 0.5645 memory: 21548 grad_norm: 4.0093 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2369 loss: 1.2369 2022/08/01 06:56:36 - mmengine - INFO - Epoch(train) [26][420/940] lr: 1.0000e-02 eta: 17:59:52 time: 0.9446 data_time: 0.1354 memory: 21548 grad_norm: 3.9369 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3359 loss: 1.3359 2022/08/01 06:56:52 - mmengine - INFO - Epoch(train) [26][440/940] lr: 1.0000e-02 eta: 17:59:25 time: 0.7857 data_time: 0.0396 memory: 21548 grad_norm: 3.8650 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3738 loss: 1.3738 2022/08/01 06:57:11 - mmengine - INFO - Epoch(train) [26][460/940] lr: 1.0000e-02 eta: 17:59:06 time: 0.9174 data_time: 0.0426 memory: 21548 grad_norm: 3.9661 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2647 loss: 1.2647 2022/08/01 06:57:29 - mmengine - INFO - Epoch(train) [26][480/940] lr: 1.0000e-02 eta: 17:58:48 time: 0.9251 data_time: 0.0486 memory: 21548 grad_norm: 3.9477 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2019 loss: 1.2019 2022/08/01 06:57:45 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 06:57:45 - mmengine - INFO - Epoch(train) [26][500/940] lr: 1.0000e-02 eta: 17:58:21 time: 0.7926 data_time: 0.0346 memory: 21548 grad_norm: 3.8556 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3149 loss: 1.3149 2022/08/01 06:58:04 - mmengine - INFO - Epoch(train) [26][520/940] lr: 1.0000e-02 eta: 17:58:05 time: 0.9626 data_time: 0.0306 memory: 21548 grad_norm: 3.9366 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2674 loss: 1.2674 2022/08/01 06:58:23 - mmengine - INFO - Epoch(train) [26][540/940] lr: 1.0000e-02 eta: 17:57:48 time: 0.9510 data_time: 0.0412 memory: 21548 grad_norm: 3.9322 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3464 loss: 1.3464 2022/08/01 06:58:38 - mmengine - INFO - Epoch(train) [26][560/940] lr: 1.0000e-02 eta: 17:57:20 time: 0.7636 data_time: 0.0348 memory: 21548 grad_norm: 3.8241 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.2161 loss: 1.2161 2022/08/01 06:58:56 - mmengine - INFO - Epoch(train) [26][580/940] lr: 1.0000e-02 eta: 17:57:00 time: 0.8844 data_time: 0.0392 memory: 21548 grad_norm: 3.9925 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1558 loss: 1.1558 2022/08/01 06:59:13 - mmengine - INFO - Epoch(train) [26][600/940] lr: 1.0000e-02 eta: 17:56:38 time: 0.8626 data_time: 0.1849 memory: 21548 grad_norm: 3.9104 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 1.4085 loss: 1.4085 2022/08/01 06:59:31 - mmengine - INFO - Epoch(train) [26][620/940] lr: 1.0000e-02 eta: 17:56:16 time: 0.8742 data_time: 0.1187 memory: 21548 grad_norm: 3.9999 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.3899 loss: 1.3899 2022/08/01 06:59:52 - mmengine - INFO - Epoch(train) [26][640/940] lr: 1.0000e-02 eta: 17:56:04 time: 1.0409 data_time: 0.1229 memory: 21548 grad_norm: 4.0544 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3366 loss: 1.3366 2022/08/01 07:00:10 - mmengine - INFO - Epoch(train) [26][660/940] lr: 1.0000e-02 eta: 17:55:46 time: 0.9321 data_time: 0.0345 memory: 21548 grad_norm: 3.8656 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.1934 loss: 1.1934 2022/08/01 07:00:25 - mmengine - INFO - Epoch(train) [26][680/940] lr: 1.0000e-02 eta: 17:55:16 time: 0.7121 data_time: 0.0422 memory: 21548 grad_norm: 4.0252 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4179 loss: 1.4179 2022/08/01 07:00:45 - mmengine - INFO - Epoch(train) [26][700/940] lr: 1.0000e-02 eta: 17:55:03 time: 1.0268 data_time: 0.0313 memory: 21548 grad_norm: 3.9088 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2759 loss: 1.2759 2022/08/01 07:01:04 - mmengine - INFO - Epoch(train) [26][720/940] lr: 1.0000e-02 eta: 17:54:44 time: 0.9209 data_time: 0.0332 memory: 21548 grad_norm: 3.9281 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.2577 loss: 1.2577 2022/08/01 07:01:19 - mmengine - INFO - Epoch(train) [26][740/940] lr: 1.0000e-02 eta: 17:54:17 time: 0.7616 data_time: 0.0414 memory: 21548 grad_norm: 3.8974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2674 loss: 1.2674 2022/08/01 07:01:37 - mmengine - INFO - Epoch(train) [26][760/940] lr: 1.0000e-02 eta: 17:53:58 time: 0.9252 data_time: 0.0350 memory: 21548 grad_norm: 3.9487 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3565 loss: 1.3565 2022/08/01 07:01:54 - mmengine - INFO - Epoch(train) [26][780/940] lr: 1.0000e-02 eta: 17:53:33 time: 0.8125 data_time: 0.0455 memory: 21548 grad_norm: 3.9431 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3059 loss: 1.3059 2022/08/01 07:02:13 - mmengine - INFO - Epoch(train) [26][800/940] lr: 1.0000e-02 eta: 17:53:16 time: 0.9495 data_time: 0.0335 memory: 21548 grad_norm: 4.0218 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2596 loss: 1.2596 2022/08/01 07:02:30 - mmengine - INFO - Epoch(train) [26][820/940] lr: 1.0000e-02 eta: 17:52:55 time: 0.8751 data_time: 0.0379 memory: 21548 grad_norm: 3.9551 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1834 loss: 1.1834 2022/08/01 07:02:47 - mmengine - INFO - Epoch(train) [26][840/940] lr: 1.0000e-02 eta: 17:52:33 time: 0.8664 data_time: 0.0402 memory: 21548 grad_norm: 4.1057 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2769 loss: 1.2769 2022/08/01 07:03:05 - mmengine - INFO - Epoch(train) [26][860/940] lr: 1.0000e-02 eta: 17:52:12 time: 0.8724 data_time: 0.0491 memory: 21548 grad_norm: 3.9969 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.2216 loss: 1.2216 2022/08/01 07:03:22 - mmengine - INFO - Epoch(train) [26][880/940] lr: 1.0000e-02 eta: 17:51:50 time: 0.8699 data_time: 0.0368 memory: 21548 grad_norm: 4.0534 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3673 loss: 1.3673 2022/08/01 07:03:43 - mmengine - INFO - Epoch(train) [26][900/940] lr: 1.0000e-02 eta: 17:51:39 time: 1.0527 data_time: 0.0371 memory: 21548 grad_norm: 4.0125 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3502 loss: 1.3502 2022/08/01 07:04:01 - mmengine - INFO - Epoch(train) [26][920/940] lr: 1.0000e-02 eta: 17:51:18 time: 0.8833 data_time: 0.0297 memory: 21548 grad_norm: 3.9994 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2591 loss: 1.2591 2022/08/01 07:04:20 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 07:04:20 - mmengine - INFO - Epoch(train) [26][940/940] lr: 1.0000e-02 eta: 17:51:01 time: 0.9394 data_time: 0.0285 memory: 21548 grad_norm: 4.1844 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2509 loss: 1.2509 2022/08/01 07:04:45 - mmengine - INFO - Epoch(val) [26][20/78] eta: 0:01:12 time: 1.2476 data_time: 1.1325 memory: 3271 2022/08/01 07:05:04 - mmengine - INFO - Epoch(val) [26][40/78] eta: 0:00:37 time: 0.9833 data_time: 0.8600 memory: 3271 2022/08/01 07:05:22 - mmengine - INFO - Epoch(val) [26][60/78] eta: 0:00:15 time: 0.8708 data_time: 0.7585 memory: 3271 2022/08/01 07:05:58 - mmengine - INFO - Epoch(val) [26][78/78] acc/top1: 0.6752 acc/top5: 0.8772 acc/mean1: 0.6751 2022/08/01 07:06:22 - mmengine - INFO - Epoch(train) [27][20/940] lr: 1.0000e-02 eta: 17:50:55 time: 1.1507 data_time: 0.4278 memory: 21548 grad_norm: 3.8350 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3269 loss: 1.3269 2022/08/01 07:06:41 - mmengine - INFO - Epoch(train) [27][40/940] lr: 1.0000e-02 eta: 17:50:40 time: 0.9789 data_time: 0.3534 memory: 21548 grad_norm: 3.8479 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2288 loss: 1.2288 2022/08/01 07:06:59 - mmengine - INFO - Epoch(train) [27][60/940] lr: 1.0000e-02 eta: 17:50:20 time: 0.9037 data_time: 0.0322 memory: 21548 grad_norm: 3.8967 top1_acc: 0.6562 top5_acc: 0.7188 loss_cls: 1.2869 loss: 1.2869 2022/08/01 07:07:17 - mmengine - INFO - Epoch(train) [27][80/940] lr: 1.0000e-02 eta: 17:50:00 time: 0.8875 data_time: 0.1157 memory: 21548 grad_norm: 3.8514 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2722 loss: 1.2722 2022/08/01 07:07:35 - mmengine - INFO - Epoch(train) [27][100/940] lr: 1.0000e-02 eta: 17:49:41 time: 0.9125 data_time: 0.0899 memory: 21548 grad_norm: 3.8838 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2364 loss: 1.2364 2022/08/01 07:07:53 - mmengine - INFO - Epoch(train) [27][120/940] lr: 1.0000e-02 eta: 17:49:21 time: 0.9049 data_time: 0.1163 memory: 21548 grad_norm: 3.8892 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3443 loss: 1.3443 2022/08/01 07:08:10 - mmengine - INFO - Epoch(train) [27][140/940] lr: 1.0000e-02 eta: 17:48:57 time: 0.8343 data_time: 0.0984 memory: 21548 grad_norm: 3.9472 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2193 loss: 1.2193 2022/08/01 07:08:27 - mmengine - INFO - Epoch(train) [27][160/940] lr: 1.0000e-02 eta: 17:48:36 time: 0.8698 data_time: 0.1349 memory: 21548 grad_norm: 3.9122 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2794 loss: 1.2794 2022/08/01 07:08:45 - mmengine - INFO - Epoch(train) [27][180/940] lr: 1.0000e-02 eta: 17:48:14 time: 0.8671 data_time: 0.2834 memory: 21548 grad_norm: 3.9433 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2660 loss: 1.2660 2022/08/01 07:09:05 - mmengine - INFO - Epoch(train) [27][200/940] lr: 1.0000e-02 eta: 17:48:00 time: 1.0019 data_time: 0.0324 memory: 21548 grad_norm: 4.0182 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2333 loss: 1.2333 2022/08/01 07:09:21 - mmengine - INFO - Epoch(train) [27][220/940] lr: 1.0000e-02 eta: 17:47:35 time: 0.7965 data_time: 0.0437 memory: 21548 grad_norm: 3.9838 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2129 loss: 1.2129 2022/08/01 07:09:42 - mmengine - INFO - Epoch(train) [27][240/940] lr: 1.0000e-02 eta: 17:47:24 time: 1.0577 data_time: 0.0339 memory: 21548 grad_norm: 3.9632 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.2828 loss: 1.2828 2022/08/01 07:09:58 - mmengine - INFO - Epoch(train) [27][260/940] lr: 1.0000e-02 eta: 17:47:00 time: 0.8278 data_time: 0.0331 memory: 21548 grad_norm: 3.9574 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4069 loss: 1.4069 2022/08/01 07:10:19 - mmengine - INFO - Epoch(train) [27][280/940] lr: 1.0000e-02 eta: 17:46:48 time: 1.0385 data_time: 0.0372 memory: 21548 grad_norm: 3.9197 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.3524 loss: 1.3524 2022/08/01 07:10:35 - mmengine - INFO - Epoch(train) [27][300/940] lr: 1.0000e-02 eta: 17:46:22 time: 0.7903 data_time: 0.0575 memory: 21548 grad_norm: 3.9028 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2997 loss: 1.2997 2022/08/01 07:10:54 - mmengine - INFO - Epoch(train) [27][320/940] lr: 1.0000e-02 eta: 17:46:04 time: 0.9326 data_time: 0.0610 memory: 21548 grad_norm: 3.9665 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2007 loss: 1.2007 2022/08/01 07:11:14 - mmengine - INFO - Epoch(train) [27][340/940] lr: 1.0000e-02 eta: 17:45:49 time: 0.9982 data_time: 0.0695 memory: 21548 grad_norm: 3.9546 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3140 loss: 1.3140 2022/08/01 07:11:30 - mmengine - INFO - Epoch(train) [27][360/940] lr: 1.0000e-02 eta: 17:45:26 time: 0.8278 data_time: 0.0301 memory: 21548 grad_norm: 3.9698 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1899 loss: 1.1899 2022/08/01 07:11:48 - mmengine - INFO - Epoch(train) [27][380/940] lr: 1.0000e-02 eta: 17:45:06 time: 0.9032 data_time: 0.0358 memory: 21548 grad_norm: 3.9248 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.2683 loss: 1.2683 2022/08/01 07:12:06 - mmengine - INFO - Epoch(train) [27][400/940] lr: 1.0000e-02 eta: 17:44:45 time: 0.8755 data_time: 0.0386 memory: 21548 grad_norm: 3.8564 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1703 loss: 1.1703 2022/08/01 07:12:29 - mmengine - INFO - Epoch(train) [27][420/940] lr: 1.0000e-02 eta: 17:44:38 time: 1.1376 data_time: 0.0342 memory: 21548 grad_norm: 3.9439 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2739 loss: 1.2739 2022/08/01 07:12:43 - mmengine - INFO - Epoch(train) [27][440/940] lr: 1.0000e-02 eta: 17:44:09 time: 0.7294 data_time: 0.0363 memory: 21548 grad_norm: 3.9841 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.2330 loss: 1.2330 2022/08/01 07:13:03 - mmengine - INFO - Epoch(train) [27][460/940] lr: 1.0000e-02 eta: 17:43:53 time: 0.9788 data_time: 0.0385 memory: 21548 grad_norm: 3.9930 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3919 loss: 1.3919 2022/08/01 07:13:19 - mmengine - INFO - Epoch(train) [27][480/940] lr: 1.0000e-02 eta: 17:43:28 time: 0.8015 data_time: 0.0438 memory: 21548 grad_norm: 4.1255 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2495 loss: 1.2495 2022/08/01 07:13:40 - mmengine - INFO - Epoch(train) [27][500/940] lr: 1.0000e-02 eta: 17:43:18 time: 1.0659 data_time: 0.0522 memory: 21548 grad_norm: 3.9894 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2605 loss: 1.2605 2022/08/01 07:13:56 - mmengine - INFO - Epoch(train) [27][520/940] lr: 1.0000e-02 eta: 17:42:51 time: 0.7799 data_time: 0.0486 memory: 21548 grad_norm: 4.0127 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3519 loss: 1.3519 2022/08/01 07:14:15 - mmengine - INFO - Epoch(train) [27][540/940] lr: 1.0000e-02 eta: 17:42:36 time: 0.9874 data_time: 0.0342 memory: 21548 grad_norm: 3.9219 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3535 loss: 1.3535 2022/08/01 07:14:31 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 07:14:31 - mmengine - INFO - Epoch(train) [27][560/940] lr: 1.0000e-02 eta: 17:42:10 time: 0.7824 data_time: 0.0402 memory: 21548 grad_norm: 3.8658 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4033 loss: 1.4033 2022/08/01 07:14:54 - mmengine - INFO - Epoch(train) [27][580/940] lr: 1.0000e-02 eta: 17:42:03 time: 1.1378 data_time: 0.0310 memory: 21548 grad_norm: 3.8983 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.3088 loss: 1.3088 2022/08/01 07:15:08 - mmengine - INFO - Epoch(train) [27][600/940] lr: 1.0000e-02 eta: 17:41:33 time: 0.7147 data_time: 0.0364 memory: 21548 grad_norm: 3.9523 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3080 loss: 1.3080 2022/08/01 07:15:26 - mmengine - INFO - Epoch(train) [27][620/940] lr: 1.0000e-02 eta: 17:41:14 time: 0.9090 data_time: 0.0330 memory: 21548 grad_norm: 4.0605 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2517 loss: 1.2517 2022/08/01 07:15:43 - mmengine - INFO - Epoch(train) [27][640/940] lr: 1.0000e-02 eta: 17:40:50 time: 0.8270 data_time: 0.0388 memory: 21548 grad_norm: 3.9654 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2874 loss: 1.2874 2022/08/01 07:16:00 - mmengine - INFO - Epoch(train) [27][660/940] lr: 1.0000e-02 eta: 17:40:28 time: 0.8573 data_time: 0.0347 memory: 21548 grad_norm: 3.9234 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1841 loss: 1.1841 2022/08/01 07:16:16 - mmengine - INFO - Epoch(train) [27][680/940] lr: 1.0000e-02 eta: 17:40:02 time: 0.7893 data_time: 0.0411 memory: 21548 grad_norm: 4.0458 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2178 loss: 1.2178 2022/08/01 07:16:37 - mmengine - INFO - Epoch(train) [27][700/940] lr: 1.0000e-02 eta: 17:39:52 time: 1.0752 data_time: 0.0361 memory: 21548 grad_norm: 4.0227 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.4109 loss: 1.4109 2022/08/01 07:16:53 - mmengine - INFO - Epoch(train) [27][720/940] lr: 1.0000e-02 eta: 17:39:26 time: 0.7833 data_time: 0.0426 memory: 21548 grad_norm: 4.0745 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3849 loss: 1.3849 2022/08/01 07:17:15 - mmengine - INFO - Epoch(train) [27][740/940] lr: 1.0000e-02 eta: 17:39:17 time: 1.0889 data_time: 0.0300 memory: 21548 grad_norm: 3.9648 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.3037 loss: 1.3037 2022/08/01 07:17:36 - mmengine - INFO - Epoch(train) [27][760/940] lr: 1.0000e-02 eta: 17:39:05 time: 1.0587 data_time: 0.0308 memory: 21548 grad_norm: 4.0655 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4378 loss: 1.4378 2022/08/01 07:17:55 - mmengine - INFO - Epoch(train) [27][780/940] lr: 1.0000e-02 eta: 17:38:48 time: 0.9406 data_time: 0.0443 memory: 21548 grad_norm: 4.0480 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2720 loss: 1.2720 2022/08/01 07:18:16 - mmengine - INFO - Epoch(train) [27][800/940] lr: 1.0000e-02 eta: 17:38:36 time: 1.0484 data_time: 0.0471 memory: 21548 grad_norm: 3.9833 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2591 loss: 1.2591 2022/08/01 07:18:34 - mmengine - INFO - Epoch(train) [27][820/940] lr: 1.0000e-02 eta: 17:38:16 time: 0.8865 data_time: 0.0387 memory: 21548 grad_norm: 3.9760 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2907 loss: 1.2907 2022/08/01 07:18:49 - mmengine - INFO - Epoch(train) [27][840/940] lr: 1.0000e-02 eta: 17:37:48 time: 0.7565 data_time: 0.0399 memory: 21548 grad_norm: 4.0800 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3225 loss: 1.3225 2022/08/01 07:19:07 - mmengine - INFO - Epoch(train) [27][860/940] lr: 1.0000e-02 eta: 17:37:29 time: 0.9155 data_time: 0.0429 memory: 21548 grad_norm: 3.9917 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2700 loss: 1.2700 2022/08/01 07:19:29 - mmengine - INFO - Epoch(train) [27][880/940] lr: 1.0000e-02 eta: 17:37:22 time: 1.1263 data_time: 0.0572 memory: 21548 grad_norm: 3.9891 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3072 loss: 1.3072 2022/08/01 07:19:49 - mmengine - INFO - Epoch(train) [27][900/940] lr: 1.0000e-02 eta: 17:37:06 time: 0.9742 data_time: 0.0354 memory: 21548 grad_norm: 3.9441 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3333 loss: 1.3333 2022/08/01 07:20:04 - mmengine - INFO - Epoch(train) [27][920/940] lr: 1.0000e-02 eta: 17:36:39 time: 0.7584 data_time: 0.0377 memory: 21548 grad_norm: 4.0031 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.4080 loss: 1.4080 2022/08/01 07:20:21 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 07:20:21 - mmengine - INFO - Epoch(train) [27][940/940] lr: 1.0000e-02 eta: 17:36:16 time: 0.8480 data_time: 0.0269 memory: 21548 grad_norm: 4.2126 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.3057 loss: 1.3057 2022/08/01 07:20:21 - mmengine - INFO - Saving checkpoint at 27 epochs 2022/08/01 07:20:48 - mmengine - INFO - Epoch(val) [27][20/78] eta: 0:01:14 time: 1.2929 data_time: 1.1786 memory: 3271 2022/08/01 07:21:07 - mmengine - INFO - Epoch(val) [27][40/78] eta: 0:00:36 time: 0.9616 data_time: 0.8480 memory: 3271 2022/08/01 07:21:21 - mmengine - INFO - Epoch(val) [27][60/78] eta: 0:00:12 time: 0.6708 data_time: 0.5537 memory: 3271 2022/08/01 07:21:43 - mmengine - INFO - Epoch(val) [27][78/78] acc/top1: 0.6733 acc/top5: 0.8780 acc/mean1: 0.6732 2022/08/01 07:22:12 - mmengine - INFO - Epoch(train) [28][20/940] lr: 1.0000e-02 eta: 17:36:23 time: 1.4022 data_time: 0.3527 memory: 21548 grad_norm: 3.8103 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1220 loss: 1.1220 2022/08/01 07:22:29 - mmengine - INFO - Epoch(train) [28][40/940] lr: 1.0000e-02 eta: 17:36:01 time: 0.8486 data_time: 0.0319 memory: 21548 grad_norm: 3.8199 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2760 loss: 1.2760 2022/08/01 07:22:50 - mmengine - INFO - Epoch(train) [28][60/940] lr: 1.0000e-02 eta: 17:35:50 time: 1.0667 data_time: 0.0387 memory: 21548 grad_norm: 3.9019 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3229 loss: 1.3229 2022/08/01 07:23:06 - mmengine - INFO - Epoch(train) [28][80/940] lr: 1.0000e-02 eta: 17:35:26 time: 0.8217 data_time: 0.0384 memory: 21548 grad_norm: 3.9220 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1923 loss: 1.1923 2022/08/01 07:23:27 - mmengine - INFO - Epoch(train) [28][100/940] lr: 1.0000e-02 eta: 17:35:12 time: 1.0112 data_time: 0.0542 memory: 21548 grad_norm: 3.8954 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0962 loss: 1.0962 2022/08/01 07:23:45 - mmengine - INFO - Epoch(train) [28][120/940] lr: 1.0000e-02 eta: 17:34:55 time: 0.9421 data_time: 0.0308 memory: 21548 grad_norm: 3.9037 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3036 loss: 1.3036 2022/08/01 07:24:05 - mmengine - INFO - Epoch(train) [28][140/940] lr: 1.0000e-02 eta: 17:34:40 time: 0.9967 data_time: 0.4662 memory: 21548 grad_norm: 3.9961 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.3342 loss: 1.3342 2022/08/01 07:24:21 - mmengine - INFO - Epoch(train) [28][160/940] lr: 1.0000e-02 eta: 17:34:14 time: 0.7704 data_time: 0.3523 memory: 21548 grad_norm: 3.9668 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2049 loss: 1.2049 2022/08/01 07:24:43 - mmengine - INFO - Epoch(train) [28][180/940] lr: 1.0000e-02 eta: 17:34:05 time: 1.1049 data_time: 0.6635 memory: 21548 grad_norm: 4.0889 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3598 loss: 1.3598 2022/08/01 07:25:00 - mmengine - INFO - Epoch(train) [28][200/940] lr: 1.0000e-02 eta: 17:33:42 time: 0.8505 data_time: 0.4393 memory: 21548 grad_norm: 3.8596 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2807 loss: 1.2807 2022/08/01 07:25:20 - mmengine - INFO - Epoch(train) [28][220/940] lr: 1.0000e-02 eta: 17:33:28 time: 0.9954 data_time: 0.5643 memory: 21548 grad_norm: 4.1031 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1580 loss: 1.1580 2022/08/01 07:25:36 - mmengine - INFO - Epoch(train) [28][240/940] lr: 1.0000e-02 eta: 17:33:04 time: 0.8314 data_time: 0.4205 memory: 21548 grad_norm: 3.9017 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3074 loss: 1.3074 2022/08/01 07:25:54 - mmengine - INFO - Epoch(train) [28][260/940] lr: 1.0000e-02 eta: 17:32:44 time: 0.8859 data_time: 0.4767 memory: 21548 grad_norm: 3.9192 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2568 loss: 1.2568 2022/08/01 07:26:12 - mmengine - INFO - Epoch(train) [28][280/940] lr: 1.0000e-02 eta: 17:32:23 time: 0.8885 data_time: 0.4544 memory: 21548 grad_norm: 3.9283 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2627 loss: 1.2627 2022/08/01 07:26:30 - mmengine - INFO - Epoch(train) [28][300/940] lr: 1.0000e-02 eta: 17:32:05 time: 0.9166 data_time: 0.4808 memory: 21548 grad_norm: 3.9778 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2395 loss: 1.2395 2022/08/01 07:26:49 - mmengine - INFO - Epoch(train) [28][320/940] lr: 1.0000e-02 eta: 17:31:47 time: 0.9491 data_time: 0.3689 memory: 21548 grad_norm: 4.0246 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3015 loss: 1.3015 2022/08/01 07:27:07 - mmengine - INFO - Epoch(train) [28][340/940] lr: 1.0000e-02 eta: 17:31:28 time: 0.8995 data_time: 0.0334 memory: 21548 grad_norm: 3.9963 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.2813 loss: 1.2813 2022/08/01 07:27:30 - mmengine - INFO - Epoch(train) [28][360/940] lr: 1.0000e-02 eta: 17:31:20 time: 1.1332 data_time: 0.3765 memory: 21548 grad_norm: 4.0330 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3218 loss: 1.3218 2022/08/01 07:27:50 - mmengine - INFO - Epoch(train) [28][380/940] lr: 1.0000e-02 eta: 17:31:07 time: 1.0150 data_time: 0.5915 memory: 21548 grad_norm: 4.0008 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2653 loss: 1.2653 2022/08/01 07:28:06 - mmengine - INFO - Epoch(train) [28][400/940] lr: 1.0000e-02 eta: 17:30:41 time: 0.7854 data_time: 0.2929 memory: 21548 grad_norm: 3.9949 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3441 loss: 1.3441 2022/08/01 07:28:26 - mmengine - INFO - Epoch(train) [28][420/940] lr: 1.0000e-02 eta: 17:30:26 time: 0.9954 data_time: 0.5483 memory: 21548 grad_norm: 3.9730 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.3054 loss: 1.3054 2022/08/01 07:28:43 - mmengine - INFO - Epoch(train) [28][440/940] lr: 1.0000e-02 eta: 17:30:05 time: 0.8810 data_time: 0.4470 memory: 21548 grad_norm: 4.0862 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3306 loss: 1.3306 2022/08/01 07:29:09 - mmengine - INFO - Epoch(train) [28][460/940] lr: 1.0000e-02 eta: 17:30:06 time: 1.2979 data_time: 0.8843 memory: 21548 grad_norm: 3.9762 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1415 loss: 1.1415 2022/08/01 07:29:25 - mmengine - INFO - Epoch(train) [28][480/940] lr: 1.0000e-02 eta: 17:29:40 time: 0.7695 data_time: 0.3446 memory: 21548 grad_norm: 4.0495 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.2630 loss: 1.2630 2022/08/01 07:29:45 - mmengine - INFO - Epoch(train) [28][500/940] lr: 1.0000e-02 eta: 17:29:25 time: 1.0015 data_time: 0.5199 memory: 21548 grad_norm: 3.8862 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.1808 loss: 1.1808 2022/08/01 07:30:03 - mmengine - INFO - Epoch(train) [28][520/940] lr: 1.0000e-02 eta: 17:29:05 time: 0.8903 data_time: 0.1756 memory: 21548 grad_norm: 4.0391 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.2731 loss: 1.2731 2022/08/01 07:30:20 - mmengine - INFO - Epoch(train) [28][540/940] lr: 1.0000e-02 eta: 17:28:43 time: 0.8580 data_time: 0.1832 memory: 21548 grad_norm: 4.1071 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3622 loss: 1.3622 2022/08/01 07:30:36 - mmengine - INFO - Epoch(train) [28][560/940] lr: 1.0000e-02 eta: 17:28:19 time: 0.8180 data_time: 0.1099 memory: 21548 grad_norm: 3.9785 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.2426 loss: 1.2426 2022/08/01 07:30:57 - mmengine - INFO - Epoch(train) [28][580/940] lr: 1.0000e-02 eta: 17:28:07 time: 1.0526 data_time: 0.0343 memory: 21548 grad_norm: 4.0578 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3720 loss: 1.3720 2022/08/01 07:31:12 - mmengine - INFO - Epoch(train) [28][600/940] lr: 1.0000e-02 eta: 17:27:40 time: 0.7484 data_time: 0.0374 memory: 21548 grad_norm: 3.9577 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3532 loss: 1.3532 2022/08/01 07:31:29 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 07:31:29 - mmengine - INFO - Epoch(train) [28][620/940] lr: 1.0000e-02 eta: 17:27:16 time: 0.8276 data_time: 0.0408 memory: 21548 grad_norm: 3.9276 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1672 loss: 1.1672 2022/08/01 07:31:48 - mmengine - INFO - Epoch(train) [28][640/940] lr: 1.0000e-02 eta: 17:26:59 time: 0.9545 data_time: 0.0378 memory: 21548 grad_norm: 3.9570 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2474 loss: 1.2474 2022/08/01 07:32:07 - mmengine - INFO - Epoch(train) [28][660/940] lr: 1.0000e-02 eta: 17:26:42 time: 0.9483 data_time: 0.0352 memory: 21548 grad_norm: 3.9389 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3375 loss: 1.3375 2022/08/01 07:32:29 - mmengine - INFO - Epoch(train) [28][680/940] lr: 1.0000e-02 eta: 17:26:33 time: 1.0992 data_time: 0.0393 memory: 21548 grad_norm: 3.8771 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2503 loss: 1.2503 2022/08/01 07:32:47 - mmengine - INFO - Epoch(train) [28][700/940] lr: 1.0000e-02 eta: 17:26:13 time: 0.9095 data_time: 0.0357 memory: 21548 grad_norm: 3.9220 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3133 loss: 1.3133 2022/08/01 07:33:09 - mmengine - INFO - Epoch(train) [28][720/940] lr: 1.0000e-02 eta: 17:26:04 time: 1.1063 data_time: 0.0320 memory: 21548 grad_norm: 4.0619 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.2249 loss: 1.2249 2022/08/01 07:33:25 - mmengine - INFO - Epoch(train) [28][740/940] lr: 1.0000e-02 eta: 17:25:38 time: 0.7720 data_time: 0.0374 memory: 21548 grad_norm: 3.9001 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1416 loss: 1.1416 2022/08/01 07:33:43 - mmengine - INFO - Epoch(train) [28][760/940] lr: 1.0000e-02 eta: 17:25:19 time: 0.9182 data_time: 0.0414 memory: 21548 grad_norm: 3.9923 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2552 loss: 1.2552 2022/08/01 07:34:01 - mmengine - INFO - Epoch(train) [28][780/940] lr: 1.0000e-02 eta: 17:25:00 time: 0.9084 data_time: 0.0467 memory: 21548 grad_norm: 4.0111 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2205 loss: 1.2205 2022/08/01 07:34:22 - mmengine - INFO - Epoch(train) [28][800/940] lr: 1.0000e-02 eta: 17:24:49 time: 1.0629 data_time: 0.0382 memory: 21548 grad_norm: 4.1048 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.2811 loss: 1.2811 2022/08/01 07:34:38 - mmengine - INFO - Epoch(train) [28][820/940] lr: 1.0000e-02 eta: 17:24:24 time: 0.8023 data_time: 0.0402 memory: 21548 grad_norm: 3.9851 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1787 loss: 1.1787 2022/08/01 07:34:59 - mmengine - INFO - Epoch(train) [28][840/940] lr: 1.0000e-02 eta: 17:24:11 time: 1.0293 data_time: 0.0464 memory: 21548 grad_norm: 4.0194 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2548 loss: 1.2548 2022/08/01 07:35:16 - mmengine - INFO - Epoch(train) [28][860/940] lr: 1.0000e-02 eta: 17:23:47 time: 0.8245 data_time: 0.0379 memory: 21548 grad_norm: 4.0233 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.3565 loss: 1.3565 2022/08/01 07:35:32 - mmengine - INFO - Epoch(train) [28][880/940] lr: 1.0000e-02 eta: 17:23:24 time: 0.8378 data_time: 0.0373 memory: 21548 grad_norm: 4.0572 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3073 loss: 1.3073 2022/08/01 07:35:52 - mmengine - INFO - Epoch(train) [28][900/940] lr: 1.0000e-02 eta: 17:23:09 time: 0.9875 data_time: 0.0330 memory: 21548 grad_norm: 3.9863 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3432 loss: 1.3432 2022/08/01 07:36:08 - mmengine - INFO - Epoch(train) [28][920/940] lr: 1.0000e-02 eta: 17:22:45 time: 0.8152 data_time: 0.0437 memory: 21548 grad_norm: 3.9437 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2752 loss: 1.2752 2022/08/01 07:36:24 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 07:36:24 - mmengine - INFO - Epoch(train) [28][940/940] lr: 1.0000e-02 eta: 17:22:20 time: 0.8016 data_time: 0.0265 memory: 21548 grad_norm: 4.2330 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.2728 loss: 1.2728 2022/08/01 07:36:51 - mmengine - INFO - Epoch(val) [28][20/78] eta: 0:01:17 time: 1.3278 data_time: 1.2141 memory: 3271 2022/08/01 07:37:04 - mmengine - INFO - Epoch(val) [28][40/78] eta: 0:00:24 time: 0.6378 data_time: 0.5268 memory: 3271 2022/08/01 07:37:25 - mmengine - INFO - Epoch(val) [28][60/78] eta: 0:00:18 time: 1.0508 data_time: 0.9369 memory: 3271 2022/08/01 07:37:51 - mmengine - INFO - Epoch(val) [28][78/78] acc/top1: 0.6725 acc/top5: 0.8742 acc/mean1: 0.6723 2022/08/01 07:38:15 - mmengine - INFO - Epoch(train) [29][20/940] lr: 1.0000e-02 eta: 17:22:16 time: 1.2048 data_time: 0.3547 memory: 21548 grad_norm: 3.9356 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1881 loss: 1.1881 2022/08/01 07:38:33 - mmengine - INFO - Epoch(train) [29][40/940] lr: 1.0000e-02 eta: 17:21:57 time: 0.9064 data_time: 0.0394 memory: 21548 grad_norm: 3.9292 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.2046 loss: 1.2046 2022/08/01 07:38:53 - mmengine - INFO - Epoch(train) [29][60/940] lr: 1.0000e-02 eta: 17:21:42 time: 0.9923 data_time: 0.0377 memory: 21548 grad_norm: 3.9578 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2135 loss: 1.2135 2022/08/01 07:39:10 - mmengine - INFO - Epoch(train) [29][80/940] lr: 1.0000e-02 eta: 17:21:19 time: 0.8478 data_time: 0.0393 memory: 21548 grad_norm: 3.9644 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2301 loss: 1.2301 2022/08/01 07:39:28 - mmengine - INFO - Epoch(train) [29][100/940] lr: 1.0000e-02 eta: 17:21:00 time: 0.9142 data_time: 0.0430 memory: 21548 grad_norm: 3.9984 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1575 loss: 1.1575 2022/08/01 07:39:45 - mmengine - INFO - Epoch(train) [29][120/940] lr: 1.0000e-02 eta: 17:20:37 time: 0.8422 data_time: 0.0511 memory: 21548 grad_norm: 3.9407 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2544 loss: 1.2544 2022/08/01 07:40:04 - mmengine - INFO - Epoch(train) [29][140/940] lr: 1.0000e-02 eta: 17:20:20 time: 0.9422 data_time: 0.0399 memory: 21548 grad_norm: 4.0305 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.2539 loss: 1.2539 2022/08/01 07:40:20 - mmengine - INFO - Epoch(train) [29][160/940] lr: 1.0000e-02 eta: 17:19:56 time: 0.8142 data_time: 0.0348 memory: 21548 grad_norm: 4.0182 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2089 loss: 1.2089 2022/08/01 07:40:44 - mmengine - INFO - Epoch(train) [29][180/940] lr: 1.0000e-02 eta: 17:19:51 time: 1.1911 data_time: 0.0703 memory: 21548 grad_norm: 3.9956 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2026 loss: 1.2026 2022/08/01 07:41:00 - mmengine - INFO - Epoch(train) [29][200/940] lr: 1.0000e-02 eta: 17:19:25 time: 0.7874 data_time: 0.0263 memory: 21548 grad_norm: 3.9737 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1783 loss: 1.1783 2022/08/01 07:41:21 - mmengine - INFO - Epoch(train) [29][220/940] lr: 1.0000e-02 eta: 17:19:13 time: 1.0497 data_time: 0.0377 memory: 21548 grad_norm: 3.9872 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.2153 loss: 1.2153 2022/08/01 07:41:43 - mmengine - INFO - Epoch(train) [29][240/940] lr: 1.0000e-02 eta: 17:19:03 time: 1.0840 data_time: 0.2895 memory: 21548 grad_norm: 4.0261 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1845 loss: 1.1845 2022/08/01 07:42:00 - mmengine - INFO - Epoch(train) [29][260/940] lr: 1.0000e-02 eta: 17:18:40 time: 0.8452 data_time: 0.0718 memory: 21548 grad_norm: 4.0067 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2474 loss: 1.2474 2022/08/01 07:42:23 - mmengine - INFO - Epoch(train) [29][280/940] lr: 1.0000e-02 eta: 17:18:35 time: 1.1843 data_time: 0.6062 memory: 21548 grad_norm: 3.9611 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3200 loss: 1.3200 2022/08/01 07:42:42 - mmengine - INFO - Epoch(train) [29][300/940] lr: 1.0000e-02 eta: 17:18:16 time: 0.9199 data_time: 0.4639 memory: 21548 grad_norm: 3.9309 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1938 loss: 1.1938 2022/08/01 07:43:03 - mmengine - INFO - Epoch(train) [29][320/940] lr: 1.0000e-02 eta: 17:18:04 time: 1.0455 data_time: 0.2168 memory: 21548 grad_norm: 4.0545 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4185 loss: 1.4185 2022/08/01 07:43:20 - mmengine - INFO - Epoch(train) [29][340/940] lr: 1.0000e-02 eta: 17:17:43 time: 0.8830 data_time: 0.3022 memory: 21548 grad_norm: 4.1009 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.1779 loss: 1.1779 2022/08/01 07:43:37 - mmengine - INFO - Epoch(train) [29][360/940] lr: 1.0000e-02 eta: 17:17:21 time: 0.8438 data_time: 0.3328 memory: 21548 grad_norm: 4.0061 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.3443 loss: 1.3443 2022/08/01 07:43:56 - mmengine - INFO - Epoch(train) [29][380/940] lr: 1.0000e-02 eta: 17:17:03 time: 0.9332 data_time: 0.5083 memory: 21548 grad_norm: 3.9878 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2076 loss: 1.2076 2022/08/01 07:44:12 - mmengine - INFO - Epoch(train) [29][400/940] lr: 1.0000e-02 eta: 17:16:38 time: 0.8002 data_time: 0.2783 memory: 21548 grad_norm: 3.9435 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.2261 loss: 1.2261 2022/08/01 07:44:30 - mmengine - INFO - Epoch(train) [29][420/940] lr: 1.0000e-02 eta: 17:16:19 time: 0.9118 data_time: 0.4818 memory: 21548 grad_norm: 3.9836 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2255 loss: 1.2255 2022/08/01 07:44:48 - mmengine - INFO - Epoch(train) [29][440/940] lr: 1.0000e-02 eta: 17:15:59 time: 0.8966 data_time: 0.1561 memory: 21548 grad_norm: 4.0140 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3378 loss: 1.3378 2022/08/01 07:45:08 - mmengine - INFO - Epoch(train) [29][460/940] lr: 1.0000e-02 eta: 17:15:45 time: 1.0147 data_time: 0.3086 memory: 21548 grad_norm: 3.9203 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1962 loss: 1.1962 2022/08/01 07:45:25 - mmengine - INFO - Epoch(train) [29][480/940] lr: 1.0000e-02 eta: 17:15:22 time: 0.8403 data_time: 0.0485 memory: 21548 grad_norm: 3.9680 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.3434 loss: 1.3434 2022/08/01 07:45:45 - mmengine - INFO - Epoch(train) [29][500/940] lr: 1.0000e-02 eta: 17:15:07 time: 0.9897 data_time: 0.0353 memory: 21548 grad_norm: 4.0067 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2524 loss: 1.2524 2022/08/01 07:46:03 - mmengine - INFO - Epoch(train) [29][520/940] lr: 1.0000e-02 eta: 17:14:48 time: 0.9057 data_time: 0.0339 memory: 21548 grad_norm: 4.0489 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3207 loss: 1.3207 2022/08/01 07:46:28 - mmengine - INFO - Epoch(train) [29][540/940] lr: 1.0000e-02 eta: 17:14:47 time: 1.2733 data_time: 0.0384 memory: 21548 grad_norm: 4.1151 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.3246 loss: 1.3246 2022/08/01 07:46:52 - mmengine - INFO - Epoch(train) [29][560/940] lr: 1.0000e-02 eta: 17:14:40 time: 1.1609 data_time: 0.0300 memory: 21548 grad_norm: 4.0171 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3685 loss: 1.3685 2022/08/01 07:47:18 - mmengine - INFO - Epoch(train) [29][580/940] lr: 1.0000e-02 eta: 17:14:41 time: 1.3153 data_time: 0.0295 memory: 21548 grad_norm: 4.0513 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2541 loss: 1.2541 2022/08/01 07:47:35 - mmengine - INFO - Epoch(train) [29][600/940] lr: 1.0000e-02 eta: 17:14:18 time: 0.8316 data_time: 0.0327 memory: 21548 grad_norm: 4.0757 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2513 loss: 1.2513 2022/08/01 07:47:57 - mmengine - INFO - Epoch(train) [29][620/940] lr: 1.0000e-02 eta: 17:14:10 time: 1.1368 data_time: 0.0360 memory: 21548 grad_norm: 3.9706 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3188 loss: 1.3188 2022/08/01 07:48:18 - mmengine - INFO - Epoch(train) [29][640/940] lr: 1.0000e-02 eta: 17:13:57 time: 1.0337 data_time: 0.0475 memory: 21548 grad_norm: 4.0393 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4279 loss: 1.4279 2022/08/01 07:48:36 - mmengine - INFO - Epoch(train) [29][660/940] lr: 1.0000e-02 eta: 17:13:36 time: 0.8826 data_time: 0.0298 memory: 21548 grad_norm: 3.9808 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1714 loss: 1.1714 2022/08/01 07:48:56 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 07:48:56 - mmengine - INFO - Epoch(train) [29][680/940] lr: 1.0000e-02 eta: 17:13:23 time: 1.0270 data_time: 0.0284 memory: 21548 grad_norm: 4.0695 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3001 loss: 1.3001 2022/08/01 07:49:15 - mmengine - INFO - Epoch(train) [29][700/940] lr: 1.0000e-02 eta: 17:13:05 time: 0.9335 data_time: 0.0499 memory: 21548 grad_norm: 4.0405 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2726 loss: 1.2726 2022/08/01 07:49:33 - mmengine - INFO - Epoch(train) [29][720/940] lr: 1.0000e-02 eta: 17:12:45 time: 0.9022 data_time: 0.0343 memory: 21548 grad_norm: 4.0144 top1_acc: 0.6562 top5_acc: 1.0000 loss_cls: 1.3178 loss: 1.3178 2022/08/01 07:49:54 - mmengine - INFO - Epoch(train) [29][740/940] lr: 1.0000e-02 eta: 17:12:32 time: 1.0357 data_time: 0.0369 memory: 21548 grad_norm: 4.1614 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2429 loss: 1.2429 2022/08/01 07:50:16 - mmengine - INFO - Epoch(train) [29][760/940] lr: 1.0000e-02 eta: 17:12:24 time: 1.1401 data_time: 0.0322 memory: 21548 grad_norm: 3.9969 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3242 loss: 1.3242 2022/08/01 07:50:31 - mmengine - INFO - Epoch(train) [29][780/940] lr: 1.0000e-02 eta: 17:11:56 time: 0.7260 data_time: 0.0353 memory: 21548 grad_norm: 4.0320 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 1.2154 loss: 1.2154 2022/08/01 07:50:52 - mmengine - INFO - Epoch(train) [29][800/940] lr: 1.0000e-02 eta: 17:11:43 time: 1.0466 data_time: 0.0461 memory: 21548 grad_norm: 4.1027 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 1.3020 loss: 1.3020 2022/08/01 07:51:11 - mmengine - INFO - Epoch(train) [29][820/940] lr: 1.0000e-02 eta: 17:11:25 time: 0.9350 data_time: 0.0380 memory: 21548 grad_norm: 4.1783 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3350 loss: 1.3350 2022/08/01 07:51:29 - mmengine - INFO - Epoch(train) [29][840/940] lr: 1.0000e-02 eta: 17:11:06 time: 0.9065 data_time: 0.0326 memory: 21548 grad_norm: 4.0317 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3499 loss: 1.3499 2022/08/01 07:51:48 - mmengine - INFO - Epoch(train) [29][860/940] lr: 1.0000e-02 eta: 17:10:50 time: 0.9821 data_time: 0.0357 memory: 21548 grad_norm: 4.1097 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3531 loss: 1.3531 2022/08/01 07:52:07 - mmengine - INFO - Epoch(train) [29][880/940] lr: 1.0000e-02 eta: 17:10:32 time: 0.9479 data_time: 0.0331 memory: 21548 grad_norm: 4.0124 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3158 loss: 1.3158 2022/08/01 07:52:31 - mmengine - INFO - Epoch(train) [29][900/940] lr: 1.0000e-02 eta: 17:10:27 time: 1.1845 data_time: 0.0299 memory: 21548 grad_norm: 4.0010 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1670 loss: 1.1670 2022/08/01 07:52:49 - mmengine - INFO - Epoch(train) [29][920/940] lr: 1.0000e-02 eta: 17:10:07 time: 0.9044 data_time: 0.0353 memory: 21548 grad_norm: 3.9250 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1898 loss: 1.1898 2022/08/01 07:53:05 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 07:53:05 - mmengine - INFO - Epoch(train) [29][940/940] lr: 1.0000e-02 eta: 17:09:42 time: 0.7851 data_time: 0.0280 memory: 21548 grad_norm: 4.1163 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.2502 loss: 1.2502 2022/08/01 07:53:36 - mmengine - INFO - Epoch(val) [29][20/78] eta: 0:01:29 time: 1.5503 data_time: 1.4414 memory: 3271 2022/08/01 07:53:59 - mmengine - INFO - Epoch(val) [29][40/78] eta: 0:00:44 time: 1.1579 data_time: 1.0515 memory: 3271 2022/08/01 07:54:22 - mmengine - INFO - Epoch(val) [29][60/78] eta: 0:00:21 time: 1.1710 data_time: 1.0608 memory: 3271 2022/08/01 07:54:39 - mmengine - INFO - Epoch(val) [29][78/78] acc/top1: 0.6790 acc/top5: 0.8813 acc/mean1: 0.6788 2022/08/01 07:55:01 - mmengine - INFO - Epoch(train) [30][20/940] lr: 1.0000e-02 eta: 17:09:33 time: 1.1373 data_time: 0.5785 memory: 21548 grad_norm: 3.9234 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.2309 loss: 1.2309 2022/08/01 07:55:17 - mmengine - INFO - Epoch(train) [30][40/940] lr: 1.0000e-02 eta: 17:09:08 time: 0.7926 data_time: 0.2724 memory: 21548 grad_norm: 4.0990 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2175 loss: 1.2175 2022/08/01 07:55:42 - mmengine - INFO - Epoch(train) [30][60/940] lr: 1.0000e-02 eta: 17:09:04 time: 1.2134 data_time: 0.1527 memory: 21548 grad_norm: 3.9332 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2165 loss: 1.2165 2022/08/01 07:55:56 - mmengine - INFO - Epoch(train) [30][80/940] lr: 1.0000e-02 eta: 17:08:36 time: 0.7363 data_time: 0.0362 memory: 21548 grad_norm: 3.9755 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.3349 loss: 1.3349 2022/08/01 07:56:15 - mmengine - INFO - Epoch(train) [30][100/940] lr: 1.0000e-02 eta: 17:08:17 time: 0.9172 data_time: 0.0415 memory: 21548 grad_norm: 4.0112 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.2452 loss: 1.2452 2022/08/01 07:56:30 - mmengine - INFO - Epoch(train) [30][120/940] lr: 1.0000e-02 eta: 17:07:52 time: 0.7906 data_time: 0.0496 memory: 21548 grad_norm: 3.9371 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1923 loss: 1.1923 2022/08/01 07:56:49 - mmengine - INFO - Epoch(train) [30][140/940] lr: 1.0000e-02 eta: 17:07:34 time: 0.9415 data_time: 0.0408 memory: 21548 grad_norm: 4.0727 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2673 loss: 1.2673 2022/08/01 07:57:05 - mmengine - INFO - Epoch(train) [30][160/940] lr: 1.0000e-02 eta: 17:07:08 time: 0.7660 data_time: 0.0397 memory: 21548 grad_norm: 4.0217 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.1928 loss: 1.1928 2022/08/01 07:57:23 - mmengine - INFO - Epoch(train) [30][180/940] lr: 1.0000e-02 eta: 17:06:50 time: 0.9307 data_time: 0.0492 memory: 21548 grad_norm: 4.0398 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3209 loss: 1.3209 2022/08/01 07:57:39 - mmengine - INFO - Epoch(train) [30][200/940] lr: 1.0000e-02 eta: 17:06:24 time: 0.7844 data_time: 0.0400 memory: 21548 grad_norm: 4.0349 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1990 loss: 1.1990 2022/08/01 07:57:57 - mmengine - INFO - Epoch(train) [30][220/940] lr: 1.0000e-02 eta: 17:06:05 time: 0.9025 data_time: 0.0390 memory: 21548 grad_norm: 3.9079 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1360 loss: 1.1360 2022/08/01 07:58:13 - mmengine - INFO - Epoch(train) [30][240/940] lr: 1.0000e-02 eta: 17:05:41 time: 0.8140 data_time: 0.0386 memory: 21548 grad_norm: 4.0311 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1932 loss: 1.1932 2022/08/01 07:58:32 - mmengine - INFO - Epoch(train) [30][260/940] lr: 1.0000e-02 eta: 17:05:22 time: 0.9194 data_time: 0.0383 memory: 21548 grad_norm: 4.0220 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3656 loss: 1.3656 2022/08/01 07:58:47 - mmengine - INFO - Epoch(train) [30][280/940] lr: 1.0000e-02 eta: 17:04:55 time: 0.7518 data_time: 0.0412 memory: 21548 grad_norm: 4.0633 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1743 loss: 1.1743 2022/08/01 07:59:05 - mmengine - INFO - Epoch(train) [30][300/940] lr: 1.0000e-02 eta: 17:04:36 time: 0.9071 data_time: 0.0474 memory: 21548 grad_norm: 4.0477 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.2564 loss: 1.2564 2022/08/01 07:59:22 - mmengine - INFO - Epoch(train) [30][320/940] lr: 1.0000e-02 eta: 17:04:13 time: 0.8415 data_time: 0.0409 memory: 21548 grad_norm: 4.0252 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2276 loss: 1.2276 2022/08/01 07:59:39 - mmengine - INFO - Epoch(train) [30][340/940] lr: 1.0000e-02 eta: 17:03:52 time: 0.8761 data_time: 0.0454 memory: 21548 grad_norm: 3.9474 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.2077 loss: 1.2077 2022/08/01 07:59:58 - mmengine - INFO - Epoch(train) [30][360/940] lr: 1.0000e-02 eta: 17:03:34 time: 0.9245 data_time: 0.0329 memory: 21548 grad_norm: 3.9249 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1077 loss: 1.1077 2022/08/01 08:00:14 - mmengine - INFO - Epoch(train) [30][380/940] lr: 1.0000e-02 eta: 17:03:10 time: 0.8077 data_time: 0.0419 memory: 21548 grad_norm: 4.1199 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3470 loss: 1.3470 2022/08/01 08:00:32 - mmengine - INFO - Epoch(train) [30][400/940] lr: 1.0000e-02 eta: 17:02:50 time: 0.8949 data_time: 0.0461 memory: 21548 grad_norm: 4.0684 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1363 loss: 1.1363 2022/08/01 08:00:49 - mmengine - INFO - Epoch(train) [30][420/940] lr: 1.0000e-02 eta: 17:02:27 time: 0.8407 data_time: 0.0388 memory: 21548 grad_norm: 4.0643 top1_acc: 0.5312 top5_acc: 0.9375 loss_cls: 1.1948 loss: 1.1948 2022/08/01 08:01:07 - mmengine - INFO - Epoch(train) [30][440/940] lr: 1.0000e-02 eta: 17:02:08 time: 0.8995 data_time: 0.0400 memory: 21548 grad_norm: 4.0195 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2807 loss: 1.2807 2022/08/01 08:01:22 - mmengine - INFO - Epoch(train) [30][460/940] lr: 1.0000e-02 eta: 17:01:41 time: 0.7532 data_time: 0.0397 memory: 21548 grad_norm: 3.9497 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0995 loss: 1.0995 2022/08/01 08:01:39 - mmengine - INFO - Epoch(train) [30][480/940] lr: 1.0000e-02 eta: 17:01:20 time: 0.8789 data_time: 0.0483 memory: 21548 grad_norm: 4.0079 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1702 loss: 1.1702 2022/08/01 08:01:56 - mmengine - INFO - Epoch(train) [30][500/940] lr: 1.0000e-02 eta: 17:00:58 time: 0.8453 data_time: 0.0343 memory: 21548 grad_norm: 4.1114 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.2682 loss: 1.2682 2022/08/01 08:02:13 - mmengine - INFO - Epoch(train) [30][520/940] lr: 1.0000e-02 eta: 17:00:36 time: 0.8540 data_time: 0.0454 memory: 21548 grad_norm: 4.0756 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2287 loss: 1.2287 2022/08/01 08:02:30 - mmengine - INFO - Epoch(train) [30][540/940] lr: 1.0000e-02 eta: 17:00:14 time: 0.8465 data_time: 0.0359 memory: 21548 grad_norm: 4.1289 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2514 loss: 1.2514 2022/08/01 08:02:49 - mmengine - INFO - Epoch(train) [30][560/940] lr: 1.0000e-02 eta: 16:59:57 time: 0.9667 data_time: 0.0384 memory: 21548 grad_norm: 4.0620 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1350 loss: 1.1350 2022/08/01 08:03:05 - mmengine - INFO - Epoch(train) [30][580/940] lr: 1.0000e-02 eta: 16:59:31 time: 0.7648 data_time: 0.0405 memory: 21548 grad_norm: 4.0918 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.2223 loss: 1.2223 2022/08/01 08:03:22 - mmengine - INFO - Epoch(train) [30][600/940] lr: 1.0000e-02 eta: 16:59:10 time: 0.8781 data_time: 0.0415 memory: 21548 grad_norm: 3.9822 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3401 loss: 1.3401 2022/08/01 08:03:37 - mmengine - INFO - Epoch(train) [30][620/940] lr: 1.0000e-02 eta: 16:58:43 time: 0.7418 data_time: 0.0356 memory: 21548 grad_norm: 4.0535 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2371 loss: 1.2371 2022/08/01 08:03:55 - mmengine - INFO - Epoch(train) [30][640/940] lr: 1.0000e-02 eta: 16:58:24 time: 0.8986 data_time: 0.0707 memory: 21548 grad_norm: 4.0838 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1819 loss: 1.1819 2022/08/01 08:04:11 - mmengine - INFO - Epoch(train) [30][660/940] lr: 1.0000e-02 eta: 16:57:59 time: 0.7997 data_time: 0.0837 memory: 21548 grad_norm: 4.0364 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.2489 loss: 1.2489 2022/08/01 08:04:28 - mmengine - INFO - Epoch(train) [30][680/940] lr: 1.0000e-02 eta: 16:57:37 time: 0.8376 data_time: 0.0868 memory: 21548 grad_norm: 4.0775 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3214 loss: 1.3214 2022/08/01 08:04:45 - mmengine - INFO - Epoch(train) [30][700/940] lr: 1.0000e-02 eta: 16:57:16 time: 0.8708 data_time: 0.1924 memory: 21548 grad_norm: 3.9935 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.2722 loss: 1.2722 2022/08/01 08:05:03 - mmengine - INFO - Epoch(train) [30][720/940] lr: 1.0000e-02 eta: 16:56:56 time: 0.8993 data_time: 0.1616 memory: 21548 grad_norm: 4.0119 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2390 loss: 1.2390 2022/08/01 08:05:20 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 08:05:20 - mmengine - INFO - Epoch(train) [30][740/940] lr: 1.0000e-02 eta: 16:56:34 time: 0.8591 data_time: 0.0975 memory: 21548 grad_norm: 4.0172 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2016 loss: 1.2016 2022/08/01 08:05:38 - mmengine - INFO - Epoch(train) [30][760/940] lr: 1.0000e-02 eta: 16:56:14 time: 0.8796 data_time: 0.1758 memory: 21548 grad_norm: 4.0117 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3855 loss: 1.3855 2022/08/01 08:05:55 - mmengine - INFO - Epoch(train) [30][780/940] lr: 1.0000e-02 eta: 16:55:51 time: 0.8244 data_time: 0.0705 memory: 21548 grad_norm: 3.9607 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1843 loss: 1.1843 2022/08/01 08:06:11 - mmengine - INFO - Epoch(train) [30][800/940] lr: 1.0000e-02 eta: 16:55:28 time: 0.8404 data_time: 0.0637 memory: 21548 grad_norm: 4.0396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2496 loss: 1.2496 2022/08/01 08:06:29 - mmengine - INFO - Epoch(train) [30][820/940] lr: 1.0000e-02 eta: 16:55:08 time: 0.8896 data_time: 0.1724 memory: 21548 grad_norm: 4.0450 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2531 loss: 1.2531 2022/08/01 08:06:45 - mmengine - INFO - Epoch(train) [30][840/940] lr: 1.0000e-02 eta: 16:54:44 time: 0.8066 data_time: 0.2913 memory: 21548 grad_norm: 4.1463 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3639 loss: 1.3639 2022/08/01 08:07:04 - mmengine - INFO - Epoch(train) [30][860/940] lr: 1.0000e-02 eta: 16:54:26 time: 0.9406 data_time: 0.4139 memory: 21548 grad_norm: 4.0264 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2864 loss: 1.2864 2022/08/01 08:07:25 - mmengine - INFO - Epoch(train) [30][880/940] lr: 1.0000e-02 eta: 16:54:13 time: 1.0274 data_time: 0.2769 memory: 21548 grad_norm: 4.0755 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3534 loss: 1.3534 2022/08/01 08:07:39 - mmengine - INFO - Epoch(train) [30][900/940] lr: 1.0000e-02 eta: 16:53:45 time: 0.7329 data_time: 0.0361 memory: 21548 grad_norm: 4.1553 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1958 loss: 1.1958 2022/08/01 08:07:57 - mmengine - INFO - Epoch(train) [30][920/940] lr: 1.0000e-02 eta: 16:53:25 time: 0.8830 data_time: 0.0357 memory: 21548 grad_norm: 4.0642 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3245 loss: 1.3245 2022/08/01 08:08:10 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 08:08:10 - mmengine - INFO - Epoch(train) [30][940/940] lr: 1.0000e-02 eta: 16:52:54 time: 0.6594 data_time: 0.0808 memory: 21548 grad_norm: 4.2996 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.2756 loss: 1.2756 2022/08/01 08:08:10 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/08/01 08:08:32 - mmengine - INFO - Epoch(val) [30][20/78] eta: 0:00:58 time: 1.0110 data_time: 0.8873 memory: 3271 2022/08/01 08:08:46 - mmengine - INFO - Epoch(val) [30][40/78] eta: 0:00:27 time: 0.7188 data_time: 0.5978 memory: 3271 2022/08/01 08:09:05 - mmengine - INFO - Epoch(val) [30][60/78] eta: 0:00:17 time: 0.9531 data_time: 0.8305 memory: 3271 2022/08/01 08:09:20 - mmengine - INFO - Epoch(val) [30][78/78] acc/top1: 0.6714 acc/top5: 0.8758 acc/mean1: 0.6712 2022/08/01 08:09:42 - mmengine - INFO - Epoch(train) [31][20/940] lr: 1.0000e-02 eta: 16:52:43 time: 1.0906 data_time: 0.5750 memory: 21548 grad_norm: 3.9349 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1298 loss: 1.1298 2022/08/01 08:09:57 - mmengine - INFO - Epoch(train) [31][40/940] lr: 1.0000e-02 eta: 16:52:18 time: 0.7704 data_time: 0.1938 memory: 21548 grad_norm: 3.9821 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1701 loss: 1.1701 2022/08/01 08:10:16 - mmengine - INFO - Epoch(train) [31][60/940] lr: 1.0000e-02 eta: 16:52:01 time: 0.9660 data_time: 0.3234 memory: 21548 grad_norm: 3.8166 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.1654 loss: 1.1654 2022/08/01 08:10:31 - mmengine - INFO - Epoch(train) [31][80/940] lr: 1.0000e-02 eta: 16:51:34 time: 0.7417 data_time: 0.3199 memory: 21548 grad_norm: 4.0088 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3378 loss: 1.3378 2022/08/01 08:10:51 - mmengine - INFO - Epoch(train) [31][100/940] lr: 1.0000e-02 eta: 16:51:19 time: 0.9823 data_time: 0.5327 memory: 21548 grad_norm: 3.9818 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0875 loss: 1.0875 2022/08/01 08:11:06 - mmengine - INFO - Epoch(train) [31][120/940] lr: 1.0000e-02 eta: 16:50:54 time: 0.7793 data_time: 0.3717 memory: 21548 grad_norm: 4.0067 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2081 loss: 1.2081 2022/08/01 08:11:24 - mmengine - INFO - Epoch(train) [31][140/940] lr: 1.0000e-02 eta: 16:50:34 time: 0.8946 data_time: 0.4849 memory: 21548 grad_norm: 3.9451 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2086 loss: 1.2086 2022/08/01 08:11:40 - mmengine - INFO - Epoch(train) [31][160/940] lr: 1.0000e-02 eta: 16:50:10 time: 0.8023 data_time: 0.2212 memory: 21548 grad_norm: 3.9858 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2636 loss: 1.2636 2022/08/01 08:11:59 - mmengine - INFO - Epoch(train) [31][180/940] lr: 1.0000e-02 eta: 16:49:51 time: 0.9209 data_time: 0.3662 memory: 21548 grad_norm: 3.9315 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2137 loss: 1.2137 2022/08/01 08:12:14 - mmengine - INFO - Epoch(train) [31][200/940] lr: 1.0000e-02 eta: 16:49:26 time: 0.7720 data_time: 0.1905 memory: 21548 grad_norm: 3.9789 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1434 loss: 1.1434 2022/08/01 08:12:34 - mmengine - INFO - Epoch(train) [31][220/940] lr: 1.0000e-02 eta: 16:49:10 time: 0.9760 data_time: 0.3540 memory: 21548 grad_norm: 3.9880 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1937 loss: 1.1937 2022/08/01 08:12:48 - mmengine - INFO - Epoch(train) [31][240/940] lr: 1.0000e-02 eta: 16:48:42 time: 0.7288 data_time: 0.1593 memory: 21548 grad_norm: 4.0158 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1759 loss: 1.1759 2022/08/01 08:13:07 - mmengine - INFO - Epoch(train) [31][260/940] lr: 1.0000e-02 eta: 16:48:24 time: 0.9262 data_time: 0.2645 memory: 21548 grad_norm: 3.9116 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2834 loss: 1.2834 2022/08/01 08:13:23 - mmengine - INFO - Epoch(train) [31][280/940] lr: 1.0000e-02 eta: 16:47:59 time: 0.7863 data_time: 0.3314 memory: 21548 grad_norm: 4.0158 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2267 loss: 1.2267 2022/08/01 08:13:47 - mmengine - INFO - Epoch(train) [31][300/940] lr: 1.0000e-02 eta: 16:47:54 time: 1.2200 data_time: 0.7279 memory: 21548 grad_norm: 4.0381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2170 loss: 1.2170 2022/08/01 08:14:02 - mmengine - INFO - Epoch(train) [31][320/940] lr: 1.0000e-02 eta: 16:47:28 time: 0.7592 data_time: 0.3319 memory: 21548 grad_norm: 4.0031 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1569 loss: 1.1569 2022/08/01 08:14:20 - mmengine - INFO - Epoch(train) [31][340/940] lr: 1.0000e-02 eta: 16:47:07 time: 0.8712 data_time: 0.4630 memory: 21548 grad_norm: 4.0912 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3288 loss: 1.3288 2022/08/01 08:14:35 - mmengine - INFO - Epoch(train) [31][360/940] lr: 1.0000e-02 eta: 16:46:41 time: 0.7516 data_time: 0.3315 memory: 21548 grad_norm: 4.0613 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.1841 loss: 1.1841 2022/08/01 08:14:54 - mmengine - INFO - Epoch(train) [31][380/940] lr: 1.0000e-02 eta: 16:46:25 time: 0.9858 data_time: 0.5531 memory: 21548 grad_norm: 3.9680 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2131 loss: 1.2131 2022/08/01 08:15:10 - mmengine - INFO - Epoch(train) [31][400/940] lr: 1.0000e-02 eta: 16:46:00 time: 0.7772 data_time: 0.3493 memory: 21548 grad_norm: 4.0815 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2375 loss: 1.2375 2022/08/01 08:15:29 - mmengine - INFO - Epoch(train) [31][420/940] lr: 1.0000e-02 eta: 16:45:44 time: 0.9663 data_time: 0.5299 memory: 21548 grad_norm: 4.0581 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2614 loss: 1.2614 2022/08/01 08:15:43 - mmengine - INFO - Epoch(train) [31][440/940] lr: 1.0000e-02 eta: 16:45:14 time: 0.6804 data_time: 0.2433 memory: 21548 grad_norm: 4.0093 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0611 loss: 1.0611 2022/08/01 08:16:03 - mmengine - INFO - Epoch(train) [31][460/940] lr: 1.0000e-02 eta: 16:45:00 time: 1.0229 data_time: 0.5755 memory: 21548 grad_norm: 4.0274 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1003 loss: 1.1003 2022/08/01 08:16:19 - mmengine - INFO - Epoch(train) [31][480/940] lr: 1.0000e-02 eta: 16:44:35 time: 0.7742 data_time: 0.3347 memory: 21548 grad_norm: 3.9935 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2118 loss: 1.2118 2022/08/01 08:16:38 - mmengine - INFO - Epoch(train) [31][500/940] lr: 1.0000e-02 eta: 16:44:18 time: 0.9473 data_time: 0.5224 memory: 21548 grad_norm: 3.9924 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2352 loss: 1.2352 2022/08/01 08:16:53 - mmengine - INFO - Epoch(train) [31][520/940] lr: 1.0000e-02 eta: 16:43:52 time: 0.7634 data_time: 0.3476 memory: 21548 grad_norm: 4.1310 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2078 loss: 1.2078 2022/08/01 08:17:13 - mmengine - INFO - Epoch(train) [31][540/940] lr: 1.0000e-02 eta: 16:43:37 time: 0.9899 data_time: 0.5677 memory: 21548 grad_norm: 4.0558 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2026 loss: 1.2026 2022/08/01 08:17:28 - mmengine - INFO - Epoch(train) [31][560/940] lr: 1.0000e-02 eta: 16:43:11 time: 0.7651 data_time: 0.3271 memory: 21548 grad_norm: 4.0735 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2218 loss: 1.2218 2022/08/01 08:17:47 - mmengine - INFO - Epoch(train) [31][580/940] lr: 1.0000e-02 eta: 16:42:53 time: 0.9321 data_time: 0.5094 memory: 21548 grad_norm: 4.1332 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3118 loss: 1.3118 2022/08/01 08:18:01 - mmengine - INFO - Epoch(train) [31][600/940] lr: 1.0000e-02 eta: 16:42:25 time: 0.7073 data_time: 0.3067 memory: 21548 grad_norm: 4.1934 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3094 loss: 1.3094 2022/08/01 08:18:21 - mmengine - INFO - Epoch(train) [31][620/940] lr: 1.0000e-02 eta: 16:42:09 time: 0.9874 data_time: 0.5568 memory: 21548 grad_norm: 4.1239 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.2044 loss: 1.2044 2022/08/01 08:18:36 - mmengine - INFO - Epoch(train) [31][640/940] lr: 1.0000e-02 eta: 16:41:45 time: 0.7876 data_time: 0.3717 memory: 21548 grad_norm: 4.0996 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1669 loss: 1.1669 2022/08/01 08:18:55 - mmengine - INFO - Epoch(train) [31][660/940] lr: 1.0000e-02 eta: 16:41:27 time: 0.9405 data_time: 0.5287 memory: 21548 grad_norm: 4.1265 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3452 loss: 1.3452 2022/08/01 08:19:12 - mmengine - INFO - Epoch(train) [31][680/940] lr: 1.0000e-02 eta: 16:41:05 time: 0.8324 data_time: 0.3848 memory: 21548 grad_norm: 4.2080 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3450 loss: 1.3450 2022/08/01 08:19:30 - mmengine - INFO - Epoch(train) [31][700/940] lr: 1.0000e-02 eta: 16:40:46 time: 0.9152 data_time: 0.4977 memory: 21548 grad_norm: 4.1187 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 1.1572 loss: 1.1572 2022/08/01 08:19:46 - mmengine - INFO - Epoch(train) [31][720/940] lr: 1.0000e-02 eta: 16:40:22 time: 0.7979 data_time: 0.3574 memory: 21548 grad_norm: 4.1026 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1681 loss: 1.1681 2022/08/01 08:20:05 - mmengine - INFO - Epoch(train) [31][740/940] lr: 1.0000e-02 eta: 16:40:05 time: 0.9611 data_time: 0.5257 memory: 21548 grad_norm: 4.0668 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2179 loss: 1.2179 2022/08/01 08:20:20 - mmengine - INFO - Epoch(train) [31][760/940] lr: 1.0000e-02 eta: 16:39:37 time: 0.7129 data_time: 0.3061 memory: 21548 grad_norm: 4.0905 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2836 loss: 1.2836 2022/08/01 08:20:36 - mmengine - INFO - Epoch(train) [31][780/940] lr: 1.0000e-02 eta: 16:39:14 time: 0.8234 data_time: 0.3983 memory: 21548 grad_norm: 4.1498 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2812 loss: 1.2812 2022/08/01 08:20:52 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 08:20:52 - mmengine - INFO - Epoch(train) [31][800/940] lr: 1.0000e-02 eta: 16:38:49 time: 0.7752 data_time: 0.3351 memory: 21548 grad_norm: 4.1269 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2165 loss: 1.2165 2022/08/01 08:21:10 - mmengine - INFO - Epoch(train) [31][820/940] lr: 1.0000e-02 eta: 16:38:31 time: 0.9308 data_time: 0.4057 memory: 21548 grad_norm: 4.0480 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1798 loss: 1.1798 2022/08/01 08:21:26 - mmengine - INFO - Epoch(train) [31][840/940] lr: 1.0000e-02 eta: 16:38:07 time: 0.7895 data_time: 0.3099 memory: 21548 grad_norm: 4.1754 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2950 loss: 1.2950 2022/08/01 08:21:45 - mmengine - INFO - Epoch(train) [31][860/940] lr: 1.0000e-02 eta: 16:37:50 time: 0.9504 data_time: 0.3324 memory: 21548 grad_norm: 4.1349 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1757 loss: 1.1757 2022/08/01 08:22:01 - mmengine - INFO - Epoch(train) [31][880/940] lr: 1.0000e-02 eta: 16:37:26 time: 0.8103 data_time: 0.0692 memory: 21548 grad_norm: 4.2294 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3641 loss: 1.3641 2022/08/01 08:22:18 - mmengine - INFO - Epoch(train) [31][900/940] lr: 1.0000e-02 eta: 16:37:05 time: 0.8531 data_time: 0.2042 memory: 21548 grad_norm: 4.1306 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.2841 loss: 1.2841 2022/08/01 08:22:36 - mmengine - INFO - Epoch(train) [31][920/940] lr: 1.0000e-02 eta: 16:36:45 time: 0.8915 data_time: 0.1403 memory: 21548 grad_norm: 4.0512 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2394 loss: 1.2394 2022/08/01 08:22:50 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 08:22:50 - mmengine - INFO - Epoch(train) [31][940/940] lr: 1.0000e-02 eta: 16:36:17 time: 0.6964 data_time: 0.1090 memory: 21548 grad_norm: 4.1891 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.1721 loss: 1.1721 2022/08/01 08:23:11 - mmengine - INFO - Epoch(val) [31][20/78] eta: 0:01:00 time: 1.0397 data_time: 0.9135 memory: 3271 2022/08/01 08:23:24 - mmengine - INFO - Epoch(val) [31][40/78] eta: 0:00:25 time: 0.6691 data_time: 0.5483 memory: 3271 2022/08/01 08:23:44 - mmengine - INFO - Epoch(val) [31][60/78] eta: 0:00:17 time: 0.9847 data_time: 0.8644 memory: 3271 2022/08/01 08:24:00 - mmengine - INFO - Epoch(val) [31][78/78] acc/top1: 0.6811 acc/top5: 0.8813 acc/mean1: 0.6810 2022/08/01 08:24:00 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_25.pth is removed 2022/08/01 08:24:01 - mmengine - INFO - The best checkpoint with 0.6811 acc/top1 at 32 epoch is saved to best_acc/top1_epoch_32.pth. 2022/08/01 08:24:22 - mmengine - INFO - Epoch(train) [32][20/940] lr: 1.0000e-02 eta: 16:36:06 time: 1.0933 data_time: 0.5903 memory: 21548 grad_norm: 3.9629 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1275 loss: 1.1275 2022/08/01 08:24:38 - mmengine - INFO - Epoch(train) [32][40/940] lr: 1.0000e-02 eta: 16:35:42 time: 0.7889 data_time: 0.1948 memory: 21548 grad_norm: 4.1093 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1681 loss: 1.1681 2022/08/01 08:24:56 - mmengine - INFO - Epoch(train) [32][60/940] lr: 1.0000e-02 eta: 16:35:22 time: 0.9036 data_time: 0.1145 memory: 21548 grad_norm: 4.0448 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2738 loss: 1.2738 2022/08/01 08:25:12 - mmengine - INFO - Epoch(train) [32][80/940] lr: 1.0000e-02 eta: 16:34:58 time: 0.7879 data_time: 0.0801 memory: 21548 grad_norm: 4.0802 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2818 loss: 1.2818 2022/08/01 08:25:30 - mmengine - INFO - Epoch(train) [32][100/940] lr: 1.0000e-02 eta: 16:34:39 time: 0.9204 data_time: 0.1488 memory: 21548 grad_norm: 4.0003 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.2157 loss: 1.2157 2022/08/01 08:25:46 - mmengine - INFO - Epoch(train) [32][120/940] lr: 1.0000e-02 eta: 16:34:15 time: 0.7737 data_time: 0.0963 memory: 21548 grad_norm: 4.1389 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2636 loss: 1.2636 2022/08/01 08:26:05 - mmengine - INFO - Epoch(train) [32][140/940] lr: 1.0000e-02 eta: 16:33:56 time: 0.9304 data_time: 0.0415 memory: 21548 grad_norm: 3.9616 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1627 loss: 1.1627 2022/08/01 08:26:20 - mmengine - INFO - Epoch(train) [32][160/940] lr: 1.0000e-02 eta: 16:33:32 time: 0.7869 data_time: 0.0926 memory: 21548 grad_norm: 4.0589 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2412 loss: 1.2412 2022/08/01 08:26:40 - mmengine - INFO - Epoch(train) [32][180/940] lr: 1.0000e-02 eta: 16:33:15 time: 0.9610 data_time: 0.2150 memory: 21548 grad_norm: 4.0330 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1764 loss: 1.1764 2022/08/01 08:26:56 - mmengine - INFO - Epoch(train) [32][200/940] lr: 1.0000e-02 eta: 16:32:52 time: 0.8169 data_time: 0.0305 memory: 21548 grad_norm: 4.0051 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1825 loss: 1.1825 2022/08/01 08:27:16 - mmengine - INFO - Epoch(train) [32][220/940] lr: 1.0000e-02 eta: 16:32:37 time: 0.9853 data_time: 0.0403 memory: 21548 grad_norm: 4.2171 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3343 loss: 1.3343 2022/08/01 08:27:30 - mmengine - INFO - Epoch(train) [32][240/940] lr: 1.0000e-02 eta: 16:32:10 time: 0.7270 data_time: 0.0378 memory: 21548 grad_norm: 4.0715 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1850 loss: 1.1850 2022/08/01 08:27:48 - mmengine - INFO - Epoch(train) [32][260/940] lr: 1.0000e-02 eta: 16:31:51 time: 0.9127 data_time: 0.0379 memory: 21548 grad_norm: 4.0522 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3136 loss: 1.3136 2022/08/01 08:28:04 - mmengine - INFO - Epoch(train) [32][280/940] lr: 1.0000e-02 eta: 16:31:26 time: 0.7730 data_time: 0.0390 memory: 21548 grad_norm: 4.2664 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2354 loss: 1.2354 2022/08/01 08:28:22 - mmengine - INFO - Epoch(train) [32][300/940] lr: 1.0000e-02 eta: 16:31:07 time: 0.9148 data_time: 0.0408 memory: 21548 grad_norm: 4.0528 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2422 loss: 1.2422 2022/08/01 08:28:37 - mmengine - INFO - Epoch(train) [32][320/940] lr: 1.0000e-02 eta: 16:30:42 time: 0.7566 data_time: 0.0393 memory: 21548 grad_norm: 4.0518 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1642 loss: 1.1642 2022/08/01 08:28:55 - mmengine - INFO - Epoch(train) [32][340/940] lr: 1.0000e-02 eta: 16:30:22 time: 0.8904 data_time: 0.0385 memory: 21548 grad_norm: 4.0928 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2464 loss: 1.2464 2022/08/01 08:29:11 - mmengine - INFO - Epoch(train) [32][360/940] lr: 1.0000e-02 eta: 16:29:58 time: 0.7854 data_time: 0.1171 memory: 21548 grad_norm: 4.1023 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1093 loss: 1.1093 2022/08/01 08:29:29 - mmengine - INFO - Epoch(train) [32][380/940] lr: 1.0000e-02 eta: 16:29:38 time: 0.9008 data_time: 0.0918 memory: 21548 grad_norm: 4.0977 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1465 loss: 1.1465 2022/08/01 08:29:45 - mmengine - INFO - Epoch(train) [32][400/940] lr: 1.0000e-02 eta: 16:29:15 time: 0.7983 data_time: 0.0485 memory: 21548 grad_norm: 4.1138 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1141 loss: 1.1141 2022/08/01 08:30:02 - mmengine - INFO - Epoch(train) [32][420/940] lr: 1.0000e-02 eta: 16:28:54 time: 0.8802 data_time: 0.0393 memory: 21548 grad_norm: 4.0022 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1422 loss: 1.1422 2022/08/01 08:30:19 - mmengine - INFO - Epoch(train) [32][440/940] lr: 1.0000e-02 eta: 16:28:33 time: 0.8448 data_time: 0.0509 memory: 21548 grad_norm: 3.9678 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1910 loss: 1.1910 2022/08/01 08:30:37 - mmengine - INFO - Epoch(train) [32][460/940] lr: 1.0000e-02 eta: 16:28:12 time: 0.8739 data_time: 0.0819 memory: 21548 grad_norm: 3.9539 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1669 loss: 1.1669 2022/08/01 08:30:55 - mmengine - INFO - Epoch(train) [32][480/940] lr: 1.0000e-02 eta: 16:27:52 time: 0.8902 data_time: 0.1148 memory: 21548 grad_norm: 4.1277 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2522 loss: 1.2522 2022/08/01 08:31:12 - mmengine - INFO - Epoch(train) [32][500/940] lr: 1.0000e-02 eta: 16:27:31 time: 0.8471 data_time: 0.0702 memory: 21548 grad_norm: 4.1323 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1865 loss: 1.1865 2022/08/01 08:31:28 - mmengine - INFO - Epoch(train) [32][520/940] lr: 1.0000e-02 eta: 16:27:09 time: 0.8447 data_time: 0.0343 memory: 21548 grad_norm: 4.0582 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1245 loss: 1.1245 2022/08/01 08:31:46 - mmengine - INFO - Epoch(train) [32][540/940] lr: 1.0000e-02 eta: 16:26:49 time: 0.8809 data_time: 0.0409 memory: 21548 grad_norm: 4.1691 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.2263 loss: 1.2263 2022/08/01 08:32:01 - mmengine - INFO - Epoch(train) [32][560/940] lr: 1.0000e-02 eta: 16:26:24 time: 0.7719 data_time: 0.0752 memory: 21548 grad_norm: 4.0222 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.2898 loss: 1.2898 2022/08/01 08:32:20 - mmengine - INFO - Epoch(train) [32][580/940] lr: 1.0000e-02 eta: 16:26:05 time: 0.9015 data_time: 0.0435 memory: 21548 grad_norm: 4.1307 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2300 loss: 1.2300 2022/08/01 08:32:36 - mmengine - INFO - Epoch(train) [32][600/940] lr: 1.0000e-02 eta: 16:25:41 time: 0.8027 data_time: 0.1238 memory: 21548 grad_norm: 4.1400 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.2546 loss: 1.2546 2022/08/01 08:32:56 - mmengine - INFO - Epoch(train) [32][620/940] lr: 1.0000e-02 eta: 16:25:26 time: 0.9957 data_time: 0.0421 memory: 21548 grad_norm: 4.0716 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2217 loss: 1.2217 2022/08/01 08:33:11 - mmengine - INFO - Epoch(train) [32][640/940] lr: 1.0000e-02 eta: 16:25:01 time: 0.7634 data_time: 0.0347 memory: 21548 grad_norm: 4.0644 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0631 loss: 1.0631 2022/08/01 08:33:29 - mmengine - INFO - Epoch(train) [32][660/940] lr: 1.0000e-02 eta: 16:24:43 time: 0.9212 data_time: 0.0356 memory: 21548 grad_norm: 4.1327 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2898 loss: 1.2898 2022/08/01 08:33:45 - mmengine - INFO - Epoch(train) [32][680/940] lr: 1.0000e-02 eta: 16:24:19 time: 0.7941 data_time: 0.0380 memory: 21548 grad_norm: 4.0137 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2893 loss: 1.2893 2022/08/01 08:34:03 - mmengine - INFO - Epoch(train) [32][700/940] lr: 1.0000e-02 eta: 16:23:59 time: 0.8950 data_time: 0.0422 memory: 21548 grad_norm: 4.0014 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1976 loss: 1.1976 2022/08/01 08:34:20 - mmengine - INFO - Epoch(train) [32][720/940] lr: 1.0000e-02 eta: 16:23:38 time: 0.8424 data_time: 0.0353 memory: 21548 grad_norm: 4.0647 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2554 loss: 1.2554 2022/08/01 08:34:37 - mmengine - INFO - Epoch(train) [32][740/940] lr: 1.0000e-02 eta: 16:23:17 time: 0.8742 data_time: 0.0451 memory: 21548 grad_norm: 4.0836 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2830 loss: 1.2830 2022/08/01 08:34:54 - mmengine - INFO - Epoch(train) [32][760/940] lr: 1.0000e-02 eta: 16:22:55 time: 0.8215 data_time: 0.0513 memory: 21548 grad_norm: 4.0059 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1592 loss: 1.1592 2022/08/01 08:35:12 - mmengine - INFO - Epoch(train) [32][780/940] lr: 1.0000e-02 eta: 16:22:35 time: 0.8937 data_time: 0.0614 memory: 21548 grad_norm: 4.0564 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.2136 loss: 1.2136 2022/08/01 08:35:27 - mmengine - INFO - Epoch(train) [32][800/940] lr: 1.0000e-02 eta: 16:22:10 time: 0.7589 data_time: 0.1314 memory: 21548 grad_norm: 4.1592 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3162 loss: 1.3162 2022/08/01 08:35:46 - mmengine - INFO - Epoch(train) [32][820/940] lr: 1.0000e-02 eta: 16:21:53 time: 0.9647 data_time: 0.2181 memory: 21548 grad_norm: 4.0447 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1857 loss: 1.1857 2022/08/01 08:36:01 - mmengine - INFO - Epoch(train) [32][840/940] lr: 1.0000e-02 eta: 16:21:28 time: 0.7477 data_time: 0.0991 memory: 21548 grad_norm: 3.9813 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2712 loss: 1.2712 2022/08/01 08:36:19 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 08:36:19 - mmengine - INFO - Epoch(train) [32][860/940] lr: 1.0000e-02 eta: 16:21:08 time: 0.8910 data_time: 0.0958 memory: 21548 grad_norm: 4.0915 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2479 loss: 1.2479 2022/08/01 08:36:35 - mmengine - INFO - Epoch(train) [32][880/940] lr: 1.0000e-02 eta: 16:20:44 time: 0.7929 data_time: 0.0473 memory: 21548 grad_norm: 4.1311 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3095 loss: 1.3095 2022/08/01 08:36:55 - mmengine - INFO - Epoch(train) [32][900/940] lr: 1.0000e-02 eta: 16:20:29 time: 0.9898 data_time: 0.0375 memory: 21548 grad_norm: 4.2077 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.3095 loss: 1.3095 2022/08/01 08:37:10 - mmengine - INFO - Epoch(train) [32][920/940] lr: 1.0000e-02 eta: 16:20:05 time: 0.7903 data_time: 0.0349 memory: 21548 grad_norm: 4.1408 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2186 loss: 1.2186 2022/08/01 08:37:24 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 08:37:24 - mmengine - INFO - Epoch(train) [32][940/940] lr: 1.0000e-02 eta: 16:19:36 time: 0.6686 data_time: 0.0323 memory: 21548 grad_norm: 4.3251 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2072 loss: 1.2072 2022/08/01 08:37:44 - mmengine - INFO - Epoch(val) [32][20/78] eta: 0:00:57 time: 0.9990 data_time: 0.8687 memory: 3271 2022/08/01 08:37:58 - mmengine - INFO - Epoch(val) [32][40/78] eta: 0:00:27 time: 0.7139 data_time: 0.5795 memory: 3271 2022/08/01 08:38:17 - mmengine - INFO - Epoch(val) [32][60/78] eta: 0:00:17 time: 0.9584 data_time: 0.8184 memory: 3271 2022/08/01 08:38:33 - mmengine - INFO - Epoch(val) [32][78/78] acc/top1: 0.6782 acc/top5: 0.8810 acc/mean1: 0.6780 2022/08/01 08:38:55 - mmengine - INFO - Epoch(train) [33][20/940] lr: 1.0000e-02 eta: 16:19:25 time: 1.1088 data_time: 0.5653 memory: 21548 grad_norm: 4.0241 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2368 loss: 1.2368 2022/08/01 08:39:11 - mmengine - INFO - Epoch(train) [33][40/940] lr: 1.0000e-02 eta: 16:19:02 time: 0.8036 data_time: 0.2125 memory: 21548 grad_norm: 4.0878 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.2045 loss: 1.2045 2022/08/01 08:39:31 - mmengine - INFO - Epoch(train) [33][60/940] lr: 1.0000e-02 eta: 16:18:47 time: 0.9900 data_time: 0.1965 memory: 21548 grad_norm: 4.0276 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2129 loss: 1.2129 2022/08/01 08:39:46 - mmengine - INFO - Epoch(train) [33][80/940] lr: 1.0000e-02 eta: 16:18:22 time: 0.7594 data_time: 0.0354 memory: 21548 grad_norm: 4.0595 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1611 loss: 1.1611 2022/08/01 08:40:06 - mmengine - INFO - Epoch(train) [33][100/940] lr: 1.0000e-02 eta: 16:18:07 time: 1.0155 data_time: 0.0497 memory: 21548 grad_norm: 4.0019 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1487 loss: 1.1487 2022/08/01 08:40:22 - mmengine - INFO - Epoch(train) [33][120/940] lr: 1.0000e-02 eta: 16:17:43 time: 0.7840 data_time: 0.0314 memory: 21548 grad_norm: 4.0784 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.2257 loss: 1.2257 2022/08/01 08:40:41 - mmengine - INFO - Epoch(train) [33][140/940] lr: 1.0000e-02 eta: 16:17:25 time: 0.9301 data_time: 0.0396 memory: 21548 grad_norm: 3.9663 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.1718 loss: 1.1718 2022/08/01 08:40:56 - mmengine - INFO - Epoch(train) [33][160/940] lr: 1.0000e-02 eta: 16:17:01 time: 0.7876 data_time: 0.0313 memory: 21548 grad_norm: 4.0499 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1192 loss: 1.1192 2022/08/01 08:41:15 - mmengine - INFO - Epoch(train) [33][180/940] lr: 1.0000e-02 eta: 16:16:43 time: 0.9210 data_time: 0.0413 memory: 21548 grad_norm: 4.0380 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.2362 loss: 1.2362 2022/08/01 08:41:30 - mmengine - INFO - Epoch(train) [33][200/940] lr: 1.0000e-02 eta: 16:16:19 time: 0.7793 data_time: 0.0336 memory: 21548 grad_norm: 4.0271 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1636 loss: 1.1636 2022/08/01 08:41:49 - mmengine - INFO - Epoch(train) [33][220/940] lr: 1.0000e-02 eta: 16:16:00 time: 0.9218 data_time: 0.0365 memory: 21548 grad_norm: 4.0202 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2195 loss: 1.2195 2022/08/01 08:42:05 - mmengine - INFO - Epoch(train) [33][240/940] lr: 1.0000e-02 eta: 16:15:38 time: 0.8147 data_time: 0.0393 memory: 21548 grad_norm: 4.0275 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1350 loss: 1.1350 2022/08/01 08:42:22 - mmengine - INFO - Epoch(train) [33][260/940] lr: 1.0000e-02 eta: 16:15:15 time: 0.8304 data_time: 0.0420 memory: 21548 grad_norm: 4.0672 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.2173 loss: 1.2173 2022/08/01 08:42:38 - mmengine - INFO - Epoch(train) [33][280/940] lr: 1.0000e-02 eta: 16:14:52 time: 0.7934 data_time: 0.0582 memory: 21548 grad_norm: 4.1444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3248 loss: 1.3248 2022/08/01 08:42:55 - mmengine - INFO - Epoch(train) [33][300/940] lr: 1.0000e-02 eta: 16:14:31 time: 0.8607 data_time: 0.0405 memory: 21548 grad_norm: 4.2109 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2170 loss: 1.2170 2022/08/01 08:43:11 - mmengine - INFO - Epoch(train) [33][320/940] lr: 1.0000e-02 eta: 16:14:08 time: 0.8056 data_time: 0.0351 memory: 21548 grad_norm: 4.1415 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2079 loss: 1.2079 2022/08/01 08:43:30 - mmengine - INFO - Epoch(train) [33][340/940] lr: 1.0000e-02 eta: 16:13:50 time: 0.9428 data_time: 0.0405 memory: 21548 grad_norm: 4.1398 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.1158 loss: 1.1158 2022/08/01 08:43:46 - mmengine - INFO - Epoch(train) [33][360/940] lr: 1.0000e-02 eta: 16:13:27 time: 0.8012 data_time: 0.0397 memory: 21548 grad_norm: 4.0487 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9898 loss: 0.9898 2022/08/01 08:44:05 - mmengine - INFO - Epoch(train) [33][380/940] lr: 1.0000e-02 eta: 16:13:10 time: 0.9501 data_time: 0.0382 memory: 21548 grad_norm: 4.1880 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0838 loss: 1.0838 2022/08/01 08:44:21 - mmengine - INFO - Epoch(train) [33][400/940] lr: 1.0000e-02 eta: 16:12:47 time: 0.8041 data_time: 0.0365 memory: 21548 grad_norm: 4.1381 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1946 loss: 1.1946 2022/08/01 08:44:39 - mmengine - INFO - Epoch(train) [33][420/940] lr: 1.0000e-02 eta: 16:12:28 time: 0.9043 data_time: 0.0415 memory: 21548 grad_norm: 4.0967 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.1912 loss: 1.1912 2022/08/01 08:44:55 - mmengine - INFO - Epoch(train) [33][440/940] lr: 1.0000e-02 eta: 16:12:05 time: 0.8213 data_time: 0.0370 memory: 21548 grad_norm: 4.1461 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1998 loss: 1.1998 2022/08/01 08:45:14 - mmengine - INFO - Epoch(train) [33][460/940] lr: 1.0000e-02 eta: 16:11:47 time: 0.9233 data_time: 0.0345 memory: 21548 grad_norm: 4.1345 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1483 loss: 1.1483 2022/08/01 08:45:30 - mmengine - INFO - Epoch(train) [33][480/940] lr: 1.0000e-02 eta: 16:11:23 time: 0.7868 data_time: 0.0370 memory: 21548 grad_norm: 4.0824 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1819 loss: 1.1819 2022/08/01 08:45:48 - mmengine - INFO - Epoch(train) [33][500/940] lr: 1.0000e-02 eta: 16:11:05 time: 0.9187 data_time: 0.0384 memory: 21548 grad_norm: 4.0884 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2429 loss: 1.2429 2022/08/01 08:46:02 - mmengine - INFO - Epoch(train) [33][520/940] lr: 1.0000e-02 eta: 16:10:39 time: 0.7266 data_time: 0.0409 memory: 21548 grad_norm: 4.2374 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2647 loss: 1.2647 2022/08/01 08:46:22 - mmengine - INFO - Epoch(train) [33][540/940] lr: 1.0000e-02 eta: 16:10:22 time: 0.9641 data_time: 0.0596 memory: 21548 grad_norm: 4.0098 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1781 loss: 1.1781 2022/08/01 08:46:39 - mmengine - INFO - Epoch(train) [33][560/940] lr: 1.0000e-02 eta: 16:10:01 time: 0.8554 data_time: 0.2238 memory: 21548 grad_norm: 4.1169 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0662 loss: 1.0662 2022/08/01 08:46:56 - mmengine - INFO - Epoch(train) [33][580/940] lr: 1.0000e-02 eta: 16:09:39 time: 0.8327 data_time: 0.2348 memory: 21548 grad_norm: 4.1096 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1727 loss: 1.1727 2022/08/01 08:47:13 - mmengine - INFO - Epoch(train) [33][600/940] lr: 1.0000e-02 eta: 16:09:18 time: 0.8595 data_time: 0.2447 memory: 21548 grad_norm: 4.1364 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2962 loss: 1.2962 2022/08/01 08:47:29 - mmengine - INFO - Epoch(train) [33][620/940] lr: 1.0000e-02 eta: 16:08:56 time: 0.8260 data_time: 0.1858 memory: 21548 grad_norm: 4.0240 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3379 loss: 1.3379 2022/08/01 08:47:47 - mmengine - INFO - Epoch(train) [33][640/940] lr: 1.0000e-02 eta: 16:08:37 time: 0.8915 data_time: 0.3321 memory: 21548 grad_norm: 4.0459 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.1785 loss: 1.1785 2022/08/01 08:48:04 - mmengine - INFO - Epoch(train) [33][660/940] lr: 1.0000e-02 eta: 16:08:15 time: 0.8250 data_time: 0.2137 memory: 21548 grad_norm: 4.0941 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1999 loss: 1.1999 2022/08/01 08:48:21 - mmengine - INFO - Epoch(train) [33][680/940] lr: 1.0000e-02 eta: 16:07:54 time: 0.8640 data_time: 0.3353 memory: 21548 grad_norm: 4.1851 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.2053 loss: 1.2053 2022/08/01 08:48:37 - mmengine - INFO - Epoch(train) [33][700/940] lr: 1.0000e-02 eta: 16:07:31 time: 0.8081 data_time: 0.3182 memory: 21548 grad_norm: 4.1040 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.2319 loss: 1.2319 2022/08/01 08:48:55 - mmengine - INFO - Epoch(train) [33][720/940] lr: 1.0000e-02 eta: 16:07:12 time: 0.8918 data_time: 0.4524 memory: 21548 grad_norm: 4.1160 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1960 loss: 1.1960 2022/08/01 08:49:10 - mmengine - INFO - Epoch(train) [33][740/940] lr: 1.0000e-02 eta: 16:06:47 time: 0.7743 data_time: 0.3252 memory: 21548 grad_norm: 4.1030 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2704 loss: 1.2704 2022/08/01 08:49:28 - mmengine - INFO - Epoch(train) [33][760/940] lr: 1.0000e-02 eta: 16:06:28 time: 0.8996 data_time: 0.3790 memory: 21548 grad_norm: 4.1631 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2782 loss: 1.2782 2022/08/01 08:49:45 - mmengine - INFO - Epoch(train) [33][780/940] lr: 1.0000e-02 eta: 16:06:06 time: 0.8119 data_time: 0.2319 memory: 21548 grad_norm: 4.0867 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1403 loss: 1.1403 2022/08/01 08:50:02 - mmengine - INFO - Epoch(train) [33][800/940] lr: 1.0000e-02 eta: 16:05:46 time: 0.8850 data_time: 0.2711 memory: 21548 grad_norm: 4.0578 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2633 loss: 1.2633 2022/08/01 08:50:19 - mmengine - INFO - Epoch(train) [33][820/940] lr: 1.0000e-02 eta: 16:05:25 time: 0.8536 data_time: 0.1891 memory: 21548 grad_norm: 4.0870 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.3180 loss: 1.3180 2022/08/01 08:50:36 - mmengine - INFO - Epoch(train) [33][840/940] lr: 1.0000e-02 eta: 16:05:04 time: 0.8513 data_time: 0.1629 memory: 21548 grad_norm: 4.1018 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2501 loss: 1.2501 2022/08/01 08:50:53 - mmengine - INFO - Epoch(train) [33][860/940] lr: 1.0000e-02 eta: 16:04:41 time: 0.8219 data_time: 0.2124 memory: 21548 grad_norm: 4.2511 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2838 loss: 1.2838 2022/08/01 08:51:10 - mmengine - INFO - Epoch(train) [33][880/940] lr: 1.0000e-02 eta: 16:04:20 time: 0.8506 data_time: 0.1450 memory: 21548 grad_norm: 4.1520 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1413 loss: 1.1413 2022/08/01 08:51:28 - mmengine - INFO - Epoch(train) [33][900/940] lr: 1.0000e-02 eta: 16:04:02 time: 0.9180 data_time: 0.1273 memory: 21548 grad_norm: 4.1319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2060 loss: 1.2060 2022/08/01 08:51:44 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 08:51:44 - mmengine - INFO - Epoch(train) [33][920/940] lr: 1.0000e-02 eta: 16:03:37 time: 0.7650 data_time: 0.0389 memory: 21548 grad_norm: 4.1784 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2463 loss: 1.2463 2022/08/01 08:52:00 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 08:52:00 - mmengine - INFO - Epoch(train) [33][940/940] lr: 1.0000e-02 eta: 16:03:14 time: 0.7991 data_time: 0.0454 memory: 21548 grad_norm: 4.2291 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.1925 loss: 1.1925 2022/08/01 08:52:00 - mmengine - INFO - Saving checkpoint at 33 epochs 2022/08/01 08:52:21 - mmengine - INFO - Epoch(val) [33][20/78] eta: 0:00:58 time: 1.0041 data_time: 0.8830 memory: 3271 2022/08/01 08:52:36 - mmengine - INFO - Epoch(val) [33][40/78] eta: 0:00:27 time: 0.7106 data_time: 0.5896 memory: 3271 2022/08/01 08:52:54 - mmengine - INFO - Epoch(val) [33][60/78] eta: 0:00:16 time: 0.9348 data_time: 0.8115 memory: 3271 2022/08/01 08:53:09 - mmengine - INFO - Epoch(val) [33][78/78] acc/top1: 0.6814 acc/top5: 0.8818 acc/mean1: 0.6813 2022/08/01 08:53:09 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_32.pth is removed 2022/08/01 08:53:11 - mmengine - INFO - The best checkpoint with 0.6814 acc/top1 at 34 epoch is saved to best_acc/top1_epoch_34.pth. 2022/08/01 08:53:33 - mmengine - INFO - Epoch(train) [34][20/940] lr: 1.0000e-02 eta: 16:03:04 time: 1.1239 data_time: 0.6978 memory: 21548 grad_norm: 3.9608 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1944 loss: 1.1944 2022/08/01 08:53:49 - mmengine - INFO - Epoch(train) [34][40/940] lr: 1.0000e-02 eta: 16:02:40 time: 0.7603 data_time: 0.3545 memory: 21548 grad_norm: 4.0232 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1252 loss: 1.1252 2022/08/01 08:54:09 - mmengine - INFO - Epoch(train) [34][60/940] lr: 1.0000e-02 eta: 16:02:24 time: 0.9940 data_time: 0.5830 memory: 21548 grad_norm: 4.0246 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2334 loss: 1.2334 2022/08/01 08:54:23 - mmengine - INFO - Epoch(train) [34][80/940] lr: 1.0000e-02 eta: 16:01:59 time: 0.7464 data_time: 0.3252 memory: 21548 grad_norm: 4.0366 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2258 loss: 1.2258 2022/08/01 08:54:41 - mmengine - INFO - Epoch(train) [34][100/940] lr: 1.0000e-02 eta: 16:01:40 time: 0.8969 data_time: 0.4816 memory: 21548 grad_norm: 4.0263 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4319 loss: 1.4319 2022/08/01 08:54:56 - mmengine - INFO - Epoch(train) [34][120/940] lr: 1.0000e-02 eta: 16:01:15 time: 0.7469 data_time: 0.3460 memory: 21548 grad_norm: 4.0880 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2773 loss: 1.2773 2022/08/01 08:55:16 - mmengine - INFO - Epoch(train) [34][140/940] lr: 1.0000e-02 eta: 16:01:00 time: 1.0063 data_time: 0.5929 memory: 21548 grad_norm: 3.9752 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3203 loss: 1.3203 2022/08/01 08:55:32 - mmengine - INFO - Epoch(train) [34][160/940] lr: 1.0000e-02 eta: 16:00:35 time: 0.7644 data_time: 0.3548 memory: 21548 grad_norm: 4.0863 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2350 loss: 1.2350 2022/08/01 08:55:50 - mmengine - INFO - Epoch(train) [34][180/940] lr: 1.0000e-02 eta: 16:00:17 time: 0.9150 data_time: 0.4886 memory: 21548 grad_norm: 4.0961 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1268 loss: 1.1268 2022/08/01 08:56:05 - mmengine - INFO - Epoch(train) [34][200/940] lr: 1.0000e-02 eta: 15:59:53 time: 0.7753 data_time: 0.3810 memory: 21548 grad_norm: 4.0308 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1838 loss: 1.1838 2022/08/01 08:56:25 - mmengine - INFO - Epoch(train) [34][220/940] lr: 1.0000e-02 eta: 15:59:36 time: 0.9585 data_time: 0.5553 memory: 21548 grad_norm: 4.0919 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1422 loss: 1.1422 2022/08/01 08:56:39 - mmengine - INFO - Epoch(train) [34][240/940] lr: 1.0000e-02 eta: 15:59:11 time: 0.7381 data_time: 0.3335 memory: 21548 grad_norm: 4.0139 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2614 loss: 1.2614 2022/08/01 08:56:59 - mmengine - INFO - Epoch(train) [34][260/940] lr: 1.0000e-02 eta: 15:58:54 time: 0.9553 data_time: 0.5284 memory: 21548 grad_norm: 4.1377 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.2039 loss: 1.2039 2022/08/01 08:57:14 - mmengine - INFO - Epoch(train) [34][280/940] lr: 1.0000e-02 eta: 15:58:29 time: 0.7585 data_time: 0.3436 memory: 21548 grad_norm: 4.0287 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2530 loss: 1.2530 2022/08/01 08:57:32 - mmengine - INFO - Epoch(train) [34][300/940] lr: 1.0000e-02 eta: 15:58:11 time: 0.9316 data_time: 0.4522 memory: 21548 grad_norm: 4.0953 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2179 loss: 1.2179 2022/08/01 08:57:47 - mmengine - INFO - Epoch(train) [34][320/940] lr: 1.0000e-02 eta: 15:57:45 time: 0.7153 data_time: 0.2267 memory: 21548 grad_norm: 4.1081 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.1600 loss: 1.1600 2022/08/01 08:58:06 - mmengine - INFO - Epoch(train) [34][340/940] lr: 1.0000e-02 eta: 15:57:28 time: 0.9648 data_time: 0.3991 memory: 21548 grad_norm: 4.0798 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1618 loss: 1.1618 2022/08/01 08:58:22 - mmengine - INFO - Epoch(train) [34][360/940] lr: 1.0000e-02 eta: 15:57:06 time: 0.8227 data_time: 0.2470 memory: 21548 grad_norm: 4.1311 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.2895 loss: 1.2895 2022/08/01 08:58:41 - mmengine - INFO - Epoch(train) [34][380/940] lr: 1.0000e-02 eta: 15:56:48 time: 0.9096 data_time: 0.3326 memory: 21548 grad_norm: 4.0152 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2666 loss: 1.2666 2022/08/01 08:58:56 - mmengine - INFO - Epoch(train) [34][400/940] lr: 1.0000e-02 eta: 15:56:24 time: 0.7789 data_time: 0.2217 memory: 21548 grad_norm: 4.0485 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1741 loss: 1.1741 2022/08/01 08:59:14 - mmengine - INFO - Epoch(train) [34][420/940] lr: 1.0000e-02 eta: 15:56:04 time: 0.8824 data_time: 0.3274 memory: 21548 grad_norm: 4.1231 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2011 loss: 1.2011 2022/08/01 08:59:29 - mmengine - INFO - Epoch(train) [34][440/940] lr: 1.0000e-02 eta: 15:55:40 time: 0.7757 data_time: 0.1562 memory: 21548 grad_norm: 3.9900 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1094 loss: 1.1094 2022/08/01 08:59:48 - mmengine - INFO - Epoch(train) [34][460/940] lr: 1.0000e-02 eta: 15:55:23 time: 0.9463 data_time: 0.1565 memory: 21548 grad_norm: 4.2092 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1601 loss: 1.1601 2022/08/01 09:00:04 - mmengine - INFO - Epoch(train) [34][480/940] lr: 1.0000e-02 eta: 15:54:58 time: 0.7604 data_time: 0.0479 memory: 21548 grad_norm: 4.2509 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1605 loss: 1.1605 2022/08/01 09:00:22 - mmengine - INFO - Epoch(train) [34][500/940] lr: 1.0000e-02 eta: 15:54:41 time: 0.9282 data_time: 0.0375 memory: 21548 grad_norm: 4.0659 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.2104 loss: 1.2104 2022/08/01 09:00:38 - mmengine - INFO - Epoch(train) [34][520/940] lr: 1.0000e-02 eta: 15:54:17 time: 0.7825 data_time: 0.0484 memory: 21548 grad_norm: 3.9983 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0673 loss: 1.0673 2022/08/01 09:00:58 - mmengine - INFO - Epoch(train) [34][540/940] lr: 1.0000e-02 eta: 15:54:01 time: 0.9896 data_time: 0.0520 memory: 21548 grad_norm: 4.2068 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2739 loss: 1.2739 2022/08/01 09:01:13 - mmengine - INFO - Epoch(train) [34][560/940] lr: 1.0000e-02 eta: 15:53:38 time: 0.7849 data_time: 0.0347 memory: 21548 grad_norm: 4.0522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1690 loss: 1.1690 2022/08/01 09:01:30 - mmengine - INFO - Epoch(train) [34][580/940] lr: 1.0000e-02 eta: 15:53:17 time: 0.8538 data_time: 0.0426 memory: 21548 grad_norm: 4.1766 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.2980 loss: 1.2980 2022/08/01 09:01:46 - mmengine - INFO - Epoch(train) [34][600/940] lr: 1.0000e-02 eta: 15:52:54 time: 0.7978 data_time: 0.1890 memory: 21548 grad_norm: 4.1139 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2009 loss: 1.2009 2022/08/01 09:02:06 - mmengine - INFO - Epoch(train) [34][620/940] lr: 1.0000e-02 eta: 15:52:38 time: 0.9640 data_time: 0.3963 memory: 21548 grad_norm: 4.1530 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1733 loss: 1.1733 2022/08/01 09:02:21 - mmengine - INFO - Epoch(train) [34][640/940] lr: 1.0000e-02 eta: 15:52:14 time: 0.7801 data_time: 0.3132 memory: 21548 grad_norm: 4.1163 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1701 loss: 1.1701 2022/08/01 09:02:40 - mmengine - INFO - Epoch(train) [34][660/940] lr: 1.0000e-02 eta: 15:51:57 time: 0.9525 data_time: 0.4909 memory: 21548 grad_norm: 4.1100 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1485 loss: 1.1485 2022/08/01 09:02:55 - mmengine - INFO - Epoch(train) [34][680/940] lr: 1.0000e-02 eta: 15:51:31 time: 0.7208 data_time: 0.2877 memory: 21548 grad_norm: 4.0931 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2722 loss: 1.2722 2022/08/01 09:03:13 - mmengine - INFO - Epoch(train) [34][700/940] lr: 1.0000e-02 eta: 15:51:14 time: 0.9421 data_time: 0.4622 memory: 21548 grad_norm: 4.1586 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.1329 loss: 1.1329 2022/08/01 09:03:29 - mmengine - INFO - Epoch(train) [34][720/940] lr: 1.0000e-02 eta: 15:50:50 time: 0.7883 data_time: 0.3304 memory: 21548 grad_norm: 4.2353 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.2543 loss: 1.2543 2022/08/01 09:03:48 - mmengine - INFO - Epoch(train) [34][740/940] lr: 1.0000e-02 eta: 15:50:32 time: 0.9137 data_time: 0.4803 memory: 21548 grad_norm: 4.0698 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1713 loss: 1.1713 2022/08/01 09:04:03 - mmengine - INFO - Epoch(train) [34][760/940] lr: 1.0000e-02 eta: 15:50:07 time: 0.7527 data_time: 0.2435 memory: 21548 grad_norm: 4.0818 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2204 loss: 1.2204 2022/08/01 09:04:21 - mmengine - INFO - Epoch(train) [34][780/940] lr: 1.0000e-02 eta: 15:49:48 time: 0.9049 data_time: 0.2378 memory: 21548 grad_norm: 4.2760 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1586 loss: 1.1586 2022/08/01 09:04:37 - mmengine - INFO - Epoch(train) [34][800/940] lr: 1.0000e-02 eta: 15:49:26 time: 0.8153 data_time: 0.2594 memory: 21548 grad_norm: 4.1484 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2160 loss: 1.2160 2022/08/01 09:04:56 - mmengine - INFO - Epoch(train) [34][820/940] lr: 1.0000e-02 eta: 15:49:09 time: 0.9580 data_time: 0.4317 memory: 21548 grad_norm: 4.1786 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3612 loss: 1.3612 2022/08/01 09:05:12 - mmengine - INFO - Epoch(train) [34][840/940] lr: 1.0000e-02 eta: 15:48:46 time: 0.7863 data_time: 0.2976 memory: 21548 grad_norm: 4.1047 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3595 loss: 1.3595 2022/08/01 09:05:31 - mmengine - INFO - Epoch(train) [34][860/940] lr: 1.0000e-02 eta: 15:48:30 time: 0.9809 data_time: 0.5360 memory: 21548 grad_norm: 4.0660 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1953 loss: 1.1953 2022/08/01 09:05:46 - mmengine - INFO - Epoch(train) [34][880/940] lr: 1.0000e-02 eta: 15:48:05 time: 0.7480 data_time: 0.2291 memory: 21548 grad_norm: 4.0609 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2501 loss: 1.2501 2022/08/01 09:06:06 - mmengine - INFO - Epoch(train) [34][900/940] lr: 1.0000e-02 eta: 15:47:49 time: 0.9637 data_time: 0.2490 memory: 21548 grad_norm: 4.0869 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2777 loss: 1.2777 2022/08/01 09:06:21 - mmengine - INFO - Epoch(train) [34][920/940] lr: 1.0000e-02 eta: 15:47:25 time: 0.7719 data_time: 0.1596 memory: 21548 grad_norm: 4.1278 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1511 loss: 1.1511 2022/08/01 09:06:36 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 09:06:36 - mmengine - INFO - Epoch(train) [34][940/940] lr: 1.0000e-02 eta: 15:47:01 time: 0.7634 data_time: 0.1238 memory: 21548 grad_norm: 4.3688 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.2295 loss: 1.2295 2022/08/01 09:06:56 - mmengine - INFO - Epoch(val) [34][20/78] eta: 0:00:57 time: 0.9929 data_time: 0.8653 memory: 3271 2022/08/01 09:07:11 - mmengine - INFO - Epoch(val) [34][40/78] eta: 0:00:27 time: 0.7109 data_time: 0.5712 memory: 3271 2022/08/01 09:07:30 - mmengine - INFO - Epoch(val) [34][60/78] eta: 0:00:17 time: 0.9483 data_time: 0.8235 memory: 3271 2022/08/01 09:07:45 - mmengine - INFO - Epoch(val) [34][78/78] acc/top1: 0.6656 acc/top5: 0.8704 acc/mean1: 0.6654 2022/08/01 09:08:09 - mmengine - INFO - Epoch(train) [35][20/940] lr: 1.0000e-02 eta: 15:46:54 time: 1.2060 data_time: 0.4279 memory: 21548 grad_norm: 4.0449 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.2773 loss: 1.2773 2022/08/01 09:08:24 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 09:08:24 - mmengine - INFO - Epoch(train) [35][40/940] lr: 1.0000e-02 eta: 15:46:28 time: 0.7305 data_time: 0.1649 memory: 21548 grad_norm: 4.0729 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2018 loss: 1.2018 2022/08/01 09:08:43 - mmengine - INFO - Epoch(train) [35][60/940] lr: 1.0000e-02 eta: 15:46:13 time: 0.9867 data_time: 0.1927 memory: 21548 grad_norm: 4.1429 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1757 loss: 1.1757 2022/08/01 09:08:59 - mmengine - INFO - Epoch(train) [35][80/940] lr: 1.0000e-02 eta: 15:45:49 time: 0.7782 data_time: 0.0345 memory: 21548 grad_norm: 4.0076 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1629 loss: 1.1629 2022/08/01 09:09:19 - mmengine - INFO - Epoch(train) [35][100/940] lr: 1.0000e-02 eta: 15:45:33 time: 0.9883 data_time: 0.0364 memory: 21548 grad_norm: 3.9154 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1254 loss: 1.1254 2022/08/01 09:09:34 - mmengine - INFO - Epoch(train) [35][120/940] lr: 1.0000e-02 eta: 15:45:09 time: 0.7634 data_time: 0.0369 memory: 21548 grad_norm: 4.1267 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2991 loss: 1.2991 2022/08/01 09:09:53 - mmengine - INFO - Epoch(train) [35][140/940] lr: 1.0000e-02 eta: 15:44:52 time: 0.9580 data_time: 0.0522 memory: 21548 grad_norm: 4.0277 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0897 loss: 1.0897 2022/08/01 09:10:09 - mmengine - INFO - Epoch(train) [35][160/940] lr: 1.0000e-02 eta: 15:44:28 time: 0.7599 data_time: 0.0443 memory: 21548 grad_norm: 4.0785 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1510 loss: 1.1510 2022/08/01 09:10:27 - mmengine - INFO - Epoch(train) [35][180/940] lr: 1.0000e-02 eta: 15:44:10 time: 0.9137 data_time: 0.0453 memory: 21548 grad_norm: 4.1473 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1988 loss: 1.1988 2022/08/01 09:10:42 - mmengine - INFO - Epoch(train) [35][200/940] lr: 1.0000e-02 eta: 15:43:46 time: 0.7865 data_time: 0.0377 memory: 21548 grad_norm: 4.0454 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1686 loss: 1.1686 2022/08/01 09:11:02 - mmengine - INFO - Epoch(train) [35][220/940] lr: 1.0000e-02 eta: 15:43:31 time: 0.9836 data_time: 0.0366 memory: 21548 grad_norm: 4.1280 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1911 loss: 1.1911 2022/08/01 09:11:18 - mmengine - INFO - Epoch(train) [35][240/940] lr: 1.0000e-02 eta: 15:43:08 time: 0.8097 data_time: 0.0394 memory: 21548 grad_norm: 3.9622 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1516 loss: 1.1516 2022/08/01 09:11:34 - mmengine - INFO - Epoch(train) [35][260/940] lr: 1.0000e-02 eta: 15:42:45 time: 0.7800 data_time: 0.0382 memory: 21548 grad_norm: 4.1727 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2934 loss: 1.2934 2022/08/01 09:11:50 - mmengine - INFO - Epoch(train) [35][280/940] lr: 1.0000e-02 eta: 15:42:22 time: 0.7979 data_time: 0.0406 memory: 21548 grad_norm: 4.0186 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2081 loss: 1.2081 2022/08/01 09:12:08 - mmengine - INFO - Epoch(train) [35][300/940] lr: 1.0000e-02 eta: 15:42:04 time: 0.9172 data_time: 0.0399 memory: 21548 grad_norm: 4.1162 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.2311 loss: 1.2311 2022/08/01 09:12:24 - mmengine - INFO - Epoch(train) [35][320/940] lr: 1.0000e-02 eta: 15:41:41 time: 0.8083 data_time: 0.0366 memory: 21548 grad_norm: 4.1337 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2458 loss: 1.2458 2022/08/01 09:12:43 - mmengine - INFO - Epoch(train) [35][340/940] lr: 1.0000e-02 eta: 15:41:24 time: 0.9392 data_time: 0.0391 memory: 21548 grad_norm: 4.1099 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2495 loss: 1.2495 2022/08/01 09:12:59 - mmengine - INFO - Epoch(train) [35][360/940] lr: 1.0000e-02 eta: 15:41:02 time: 0.8088 data_time: 0.0368 memory: 21548 grad_norm: 4.1292 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1564 loss: 1.1564 2022/08/01 09:13:17 - mmengine - INFO - Epoch(train) [35][380/940] lr: 1.0000e-02 eta: 15:40:42 time: 0.8869 data_time: 0.0342 memory: 21548 grad_norm: 4.1362 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1935 loss: 1.1935 2022/08/01 09:13:33 - mmengine - INFO - Epoch(train) [35][400/940] lr: 1.0000e-02 eta: 15:40:19 time: 0.7964 data_time: 0.0372 memory: 21548 grad_norm: 4.0954 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1868 loss: 1.1868 2022/08/01 09:13:52 - mmengine - INFO - Epoch(train) [35][420/940] lr: 1.0000e-02 eta: 15:40:03 time: 0.9653 data_time: 0.0373 memory: 21548 grad_norm: 4.1623 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.2520 loss: 1.2520 2022/08/01 09:14:08 - mmengine - INFO - Epoch(train) [35][440/940] lr: 1.0000e-02 eta: 15:39:40 time: 0.7946 data_time: 0.0427 memory: 21548 grad_norm: 4.1288 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2366 loss: 1.2366 2022/08/01 09:14:26 - mmengine - INFO - Epoch(train) [35][460/940] lr: 1.0000e-02 eta: 15:39:21 time: 0.8874 data_time: 0.0395 memory: 21548 grad_norm: 4.1938 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2371 loss: 1.2371 2022/08/01 09:14:40 - mmengine - INFO - Epoch(train) [35][480/940] lr: 1.0000e-02 eta: 15:38:55 time: 0.7109 data_time: 0.0337 memory: 21548 grad_norm: 4.1888 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0905 loss: 1.0905 2022/08/01 09:14:59 - mmengine - INFO - Epoch(train) [35][500/940] lr: 1.0000e-02 eta: 15:38:37 time: 0.9362 data_time: 0.0392 memory: 21548 grad_norm: 4.1834 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2691 loss: 1.2691 2022/08/01 09:15:14 - mmengine - INFO - Epoch(train) [35][520/940] lr: 1.0000e-02 eta: 15:38:13 time: 0.7675 data_time: 0.0449 memory: 21548 grad_norm: 4.1993 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2658 loss: 1.2658 2022/08/01 09:15:33 - mmengine - INFO - Epoch(train) [35][540/940] lr: 1.0000e-02 eta: 15:37:56 time: 0.9508 data_time: 0.0384 memory: 21548 grad_norm: 4.3766 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.2897 loss: 1.2897 2022/08/01 09:15:49 - mmengine - INFO - Epoch(train) [35][560/940] lr: 1.0000e-02 eta: 15:37:33 time: 0.7937 data_time: 0.0538 memory: 21548 grad_norm: 4.1692 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2498 loss: 1.2498 2022/08/01 09:16:08 - mmengine - INFO - Epoch(train) [35][580/940] lr: 1.0000e-02 eta: 15:37:16 time: 0.9386 data_time: 0.0394 memory: 21548 grad_norm: 4.0828 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2161 loss: 1.2161 2022/08/01 09:16:23 - mmengine - INFO - Epoch(train) [35][600/940] lr: 1.0000e-02 eta: 15:36:51 time: 0.7509 data_time: 0.0373 memory: 21548 grad_norm: 4.0558 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1781 loss: 1.1781 2022/08/01 09:16:42 - mmengine - INFO - Epoch(train) [35][620/940] lr: 1.0000e-02 eta: 15:36:34 time: 0.9407 data_time: 0.0335 memory: 21548 grad_norm: 4.1625 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0835 loss: 1.0835 2022/08/01 09:16:57 - mmengine - INFO - Epoch(train) [35][640/940] lr: 1.0000e-02 eta: 15:36:10 time: 0.7561 data_time: 0.0351 memory: 21548 grad_norm: 4.1411 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1328 loss: 1.1328 2022/08/01 09:17:16 - mmengine - INFO - Epoch(train) [35][660/940] lr: 1.0000e-02 eta: 15:35:52 time: 0.9362 data_time: 0.0359 memory: 21548 grad_norm: 4.2456 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.2512 loss: 1.2512 2022/08/01 09:17:31 - mmengine - INFO - Epoch(train) [35][680/940] lr: 1.0000e-02 eta: 15:35:29 time: 0.7732 data_time: 0.0349 memory: 21548 grad_norm: 4.1792 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2959 loss: 1.2959 2022/08/01 09:17:50 - mmengine - INFO - Epoch(train) [35][700/940] lr: 1.0000e-02 eta: 15:35:11 time: 0.9293 data_time: 0.0362 memory: 21548 grad_norm: 4.0738 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1707 loss: 1.1707 2022/08/01 09:18:06 - mmengine - INFO - Epoch(train) [35][720/940] lr: 1.0000e-02 eta: 15:34:49 time: 0.8058 data_time: 0.0408 memory: 21548 grad_norm: 4.0899 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0768 loss: 1.0768 2022/08/01 09:18:25 - mmengine - INFO - Epoch(train) [35][740/940] lr: 1.0000e-02 eta: 15:34:32 time: 0.9699 data_time: 0.0330 memory: 21548 grad_norm: 4.1264 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.1277 loss: 1.1277 2022/08/01 09:18:40 - mmengine - INFO - Epoch(train) [35][760/940] lr: 1.0000e-02 eta: 15:34:08 time: 0.7537 data_time: 0.0384 memory: 21548 grad_norm: 4.0645 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1552 loss: 1.1552 2022/08/01 09:18:59 - mmengine - INFO - Epoch(train) [35][780/940] lr: 1.0000e-02 eta: 15:33:50 time: 0.9175 data_time: 0.0402 memory: 21548 grad_norm: 4.2004 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.2993 loss: 1.2993 2022/08/01 09:19:14 - mmengine - INFO - Epoch(train) [35][800/940] lr: 1.0000e-02 eta: 15:33:27 time: 0.7866 data_time: 0.0915 memory: 21548 grad_norm: 4.1606 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2718 loss: 1.2718 2022/08/01 09:19:32 - mmengine - INFO - Epoch(train) [35][820/940] lr: 1.0000e-02 eta: 15:33:08 time: 0.9049 data_time: 0.1561 memory: 21548 grad_norm: 4.1673 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3052 loss: 1.3052 2022/08/01 09:19:48 - mmengine - INFO - Epoch(train) [35][840/940] lr: 1.0000e-02 eta: 15:32:44 time: 0.7659 data_time: 0.1746 memory: 21548 grad_norm: 4.1203 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1811 loss: 1.1811 2022/08/01 09:20:07 - mmengine - INFO - Epoch(train) [35][860/940] lr: 1.0000e-02 eta: 15:32:27 time: 0.9491 data_time: 0.2717 memory: 21548 grad_norm: 4.1173 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2198 loss: 1.2198 2022/08/01 09:20:21 - mmengine - INFO - Epoch(train) [35][880/940] lr: 1.0000e-02 eta: 15:32:02 time: 0.7371 data_time: 0.2173 memory: 21548 grad_norm: 4.1577 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1033 loss: 1.1033 2022/08/01 09:20:40 - mmengine - INFO - Epoch(train) [35][900/940] lr: 1.0000e-02 eta: 15:31:45 time: 0.9435 data_time: 0.4444 memory: 21548 grad_norm: 4.2682 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1865 loss: 1.1865 2022/08/01 09:20:56 - mmengine - INFO - Epoch(train) [35][920/940] lr: 1.0000e-02 eta: 15:31:23 time: 0.7970 data_time: 0.1668 memory: 21548 grad_norm: 4.1256 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2403 loss: 1.2403 2022/08/01 09:21:11 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 09:21:11 - mmengine - INFO - Epoch(train) [35][940/940] lr: 1.0000e-02 eta: 15:30:59 time: 0.7605 data_time: 0.1241 memory: 21548 grad_norm: 4.2996 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.1621 loss: 1.1621 2022/08/01 09:21:32 - mmengine - INFO - Epoch(val) [35][20/78] eta: 0:00:58 time: 1.0087 data_time: 0.8833 memory: 3271 2022/08/01 09:21:46 - mmengine - INFO - Epoch(val) [35][40/78] eta: 0:00:26 time: 0.7055 data_time: 0.5783 memory: 3271 2022/08/01 09:22:05 - mmengine - INFO - Epoch(val) [35][60/78] eta: 0:00:17 time: 0.9678 data_time: 0.8270 memory: 3271 2022/08/01 09:22:22 - mmengine - INFO - Epoch(val) [35][78/78] acc/top1: 0.6575 acc/top5: 0.8647 acc/mean1: 0.6574 2022/08/01 09:22:44 - mmengine - INFO - Epoch(train) [36][20/940] lr: 1.0000e-02 eta: 15:30:47 time: 1.1006 data_time: 0.5880 memory: 21548 grad_norm: 4.0997 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.2324 loss: 1.2324 2022/08/01 09:22:59 - mmengine - INFO - Epoch(train) [36][40/940] lr: 1.0000e-02 eta: 15:30:23 time: 0.7571 data_time: 0.3052 memory: 21548 grad_norm: 4.1566 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0944 loss: 1.0944 2022/08/01 09:23:18 - mmengine - INFO - Epoch(train) [36][60/940] lr: 1.0000e-02 eta: 15:30:06 time: 0.9459 data_time: 0.2849 memory: 21548 grad_norm: 4.0517 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0918 loss: 1.0918 2022/08/01 09:23:34 - mmengine - INFO - Epoch(train) [36][80/940] lr: 1.0000e-02 eta: 15:29:45 time: 0.8385 data_time: 0.0830 memory: 21548 grad_norm: 4.0638 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0730 loss: 1.0730 2022/08/01 09:23:54 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 09:23:54 - mmengine - INFO - Epoch(train) [36][100/940] lr: 1.0000e-02 eta: 15:29:28 time: 0.9577 data_time: 0.0594 memory: 21548 grad_norm: 4.0476 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0819 loss: 1.0819 2022/08/01 09:24:09 - mmengine - INFO - Epoch(train) [36][120/940] lr: 1.0000e-02 eta: 15:29:05 time: 0.7692 data_time: 0.0320 memory: 21548 grad_norm: 4.0103 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1857 loss: 1.1857 2022/08/01 09:24:27 - mmengine - INFO - Epoch(train) [36][140/940] lr: 1.0000e-02 eta: 15:28:46 time: 0.9142 data_time: 0.0402 memory: 21548 grad_norm: 4.1638 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1474 loss: 1.1474 2022/08/01 09:24:44 - mmengine - INFO - Epoch(train) [36][160/940] lr: 1.0000e-02 eta: 15:28:25 time: 0.8215 data_time: 0.0296 memory: 21548 grad_norm: 4.1397 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1834 loss: 1.1834 2022/08/01 09:25:03 - mmengine - INFO - Epoch(train) [36][180/940] lr: 1.0000e-02 eta: 15:28:07 time: 0.9422 data_time: 0.0443 memory: 21548 grad_norm: 4.1624 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.1863 loss: 1.1863 2022/08/01 09:25:16 - mmengine - INFO - Epoch(train) [36][200/940] lr: 1.0000e-02 eta: 15:27:41 time: 0.6941 data_time: 0.0357 memory: 21548 grad_norm: 4.2076 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3430 loss: 1.3430 2022/08/01 09:25:37 - mmengine - INFO - Epoch(train) [36][220/940] lr: 1.0000e-02 eta: 15:27:27 time: 1.0225 data_time: 0.0409 memory: 21548 grad_norm: 4.0238 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1360 loss: 1.1360 2022/08/01 09:25:51 - mmengine - INFO - Epoch(train) [36][240/940] lr: 1.0000e-02 eta: 15:27:00 time: 0.6996 data_time: 0.0400 memory: 21548 grad_norm: 4.1710 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1786 loss: 1.1786 2022/08/01 09:26:11 - mmengine - INFO - Epoch(train) [36][260/940] lr: 1.0000e-02 eta: 15:26:45 time: 0.9940 data_time: 0.0378 memory: 21548 grad_norm: 4.0391 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0729 loss: 1.0729 2022/08/01 09:26:26 - mmengine - INFO - Epoch(train) [36][280/940] lr: 1.0000e-02 eta: 15:26:22 time: 0.7836 data_time: 0.0345 memory: 21548 grad_norm: 4.1551 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1977 loss: 1.1977 2022/08/01 09:26:44 - mmengine - INFO - Epoch(train) [36][300/940] lr: 1.0000e-02 eta: 15:26:03 time: 0.8929 data_time: 0.0385 memory: 21548 grad_norm: 4.2306 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1900 loss: 1.1900 2022/08/01 09:26:59 - mmengine - INFO - Epoch(train) [36][320/940] lr: 1.0000e-02 eta: 15:25:39 time: 0.7580 data_time: 0.0406 memory: 21548 grad_norm: 4.2270 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.3081 loss: 1.3081 2022/08/01 09:27:18 - mmengine - INFO - Epoch(train) [36][340/940] lr: 1.0000e-02 eta: 15:25:21 time: 0.9253 data_time: 0.0387 memory: 21548 grad_norm: 4.2027 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2109 loss: 1.2109 2022/08/01 09:27:34 - mmengine - INFO - Epoch(train) [36][360/940] lr: 1.0000e-02 eta: 15:24:59 time: 0.8051 data_time: 0.0474 memory: 21548 grad_norm: 4.1570 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1258 loss: 1.1258 2022/08/01 09:27:53 - mmengine - INFO - Epoch(train) [36][380/940] lr: 1.0000e-02 eta: 15:24:42 time: 0.9519 data_time: 0.0427 memory: 21548 grad_norm: 4.2620 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.1846 loss: 1.1846 2022/08/01 09:28:08 - mmengine - INFO - Epoch(train) [36][400/940] lr: 1.0000e-02 eta: 15:24:18 time: 0.7568 data_time: 0.0334 memory: 21548 grad_norm: 4.0848 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1858 loss: 1.1858 2022/08/01 09:28:27 - mmengine - INFO - Epoch(train) [36][420/940] lr: 1.0000e-02 eta: 15:24:00 time: 0.9250 data_time: 0.0366 memory: 21548 grad_norm: 4.1316 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2734 loss: 1.2734 2022/08/01 09:28:43 - mmengine - INFO - Epoch(train) [36][440/940] lr: 1.0000e-02 eta: 15:23:38 time: 0.8128 data_time: 0.0358 memory: 21548 grad_norm: 4.2326 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2082 loss: 1.2082 2022/08/01 09:29:02 - mmengine - INFO - Epoch(train) [36][460/940] lr: 1.0000e-02 eta: 15:23:22 time: 0.9630 data_time: 0.0493 memory: 21548 grad_norm: 4.0213 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2379 loss: 1.2379 2022/08/01 09:29:23 - mmengine - INFO - Epoch(train) [36][480/940] lr: 1.0000e-02 eta: 15:23:08 time: 1.0320 data_time: 0.0309 memory: 21548 grad_norm: 4.1650 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2020 loss: 1.2020 2022/08/01 09:29:41 - mmengine - INFO - Epoch(train) [36][500/940] lr: 1.0000e-02 eta: 15:22:49 time: 0.8954 data_time: 0.0400 memory: 21548 grad_norm: 4.0702 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2470 loss: 1.2470 2022/08/01 09:29:56 - mmengine - INFO - Epoch(train) [36][520/940] lr: 1.0000e-02 eta: 15:22:25 time: 0.7544 data_time: 0.0309 memory: 21548 grad_norm: 4.0871 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2093 loss: 1.2093 2022/08/01 09:30:15 - mmengine - INFO - Epoch(train) [36][540/940] lr: 1.0000e-02 eta: 15:22:08 time: 0.9516 data_time: 0.0360 memory: 21548 grad_norm: 4.1520 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1972 loss: 1.1972 2022/08/01 09:30:31 - mmengine - INFO - Epoch(train) [36][560/940] lr: 1.0000e-02 eta: 15:21:45 time: 0.7854 data_time: 0.0584 memory: 21548 grad_norm: 4.1946 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.3187 loss: 1.3187 2022/08/01 09:30:49 - mmengine - INFO - Epoch(train) [36][580/940] lr: 1.0000e-02 eta: 15:21:27 time: 0.9146 data_time: 0.1196 memory: 21548 grad_norm: 4.2140 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1749 loss: 1.1749 2022/08/01 09:31:08 - mmengine - INFO - Epoch(train) [36][600/940] lr: 1.0000e-02 eta: 15:21:10 time: 0.9473 data_time: 0.0353 memory: 21548 grad_norm: 4.2730 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1618 loss: 1.1618 2022/08/01 09:31:26 - mmengine - INFO - Epoch(train) [36][620/940] lr: 1.0000e-02 eta: 15:20:52 time: 0.9227 data_time: 0.1285 memory: 21548 grad_norm: 4.2736 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1735 loss: 1.1735 2022/08/01 09:31:45 - mmengine - INFO - Epoch(train) [36][640/940] lr: 1.0000e-02 eta: 15:20:34 time: 0.9340 data_time: 0.2608 memory: 21548 grad_norm: 4.1145 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1427 loss: 1.1427 2022/08/01 09:32:01 - mmengine - INFO - Epoch(train) [36][660/940] lr: 1.0000e-02 eta: 15:20:12 time: 0.7973 data_time: 0.1735 memory: 21548 grad_norm: 4.1513 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1621 loss: 1.1621 2022/08/01 09:32:20 - mmengine - INFO - Epoch(train) [36][680/940] lr: 1.0000e-02 eta: 15:19:54 time: 0.9349 data_time: 0.3149 memory: 21548 grad_norm: 4.1874 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0855 loss: 1.0855 2022/08/01 09:32:35 - mmengine - INFO - Epoch(train) [36][700/940] lr: 1.0000e-02 eta: 15:19:31 time: 0.7705 data_time: 0.2162 memory: 21548 grad_norm: 4.2345 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.2701 loss: 1.2701 2022/08/01 09:32:54 - mmengine - INFO - Epoch(train) [36][720/940] lr: 1.0000e-02 eta: 15:19:14 time: 0.9646 data_time: 0.4217 memory: 21548 grad_norm: 4.1796 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.2252 loss: 1.2252 2022/08/01 09:33:11 - mmengine - INFO - Epoch(train) [36][740/940] lr: 1.0000e-02 eta: 15:18:52 time: 0.8038 data_time: 0.3160 memory: 21548 grad_norm: 4.1731 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1658 loss: 1.1658 2022/08/01 09:33:32 - mmengine - INFO - Epoch(train) [36][760/940] lr: 1.0000e-02 eta: 15:18:39 time: 1.0638 data_time: 0.2219 memory: 21548 grad_norm: 4.2317 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1967 loss: 1.1967 2022/08/01 09:33:47 - mmengine - INFO - Epoch(train) [36][780/940] lr: 1.0000e-02 eta: 15:18:16 time: 0.7666 data_time: 0.0311 memory: 21548 grad_norm: 4.1466 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2179 loss: 1.2179 2022/08/01 09:34:05 - mmengine - INFO - Epoch(train) [36][800/940] lr: 1.0000e-02 eta: 15:17:58 time: 0.9144 data_time: 0.0318 memory: 21548 grad_norm: 4.2313 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1131 loss: 1.1131 2022/08/01 09:34:21 - mmengine - INFO - Epoch(train) [36][820/940] lr: 1.0000e-02 eta: 15:17:35 time: 0.8022 data_time: 0.1185 memory: 21548 grad_norm: 4.1292 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.2305 loss: 1.2305 2022/08/01 09:34:41 - mmengine - INFO - Epoch(train) [36][840/940] lr: 1.0000e-02 eta: 15:17:20 time: 0.9985 data_time: 0.0829 memory: 21548 grad_norm: 4.1673 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2097 loss: 1.2097 2022/08/01 09:34:59 - mmengine - INFO - Epoch(train) [36][860/940] lr: 1.0000e-02 eta: 15:17:01 time: 0.8811 data_time: 0.0392 memory: 21548 grad_norm: 4.1355 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.1862 loss: 1.1862 2022/08/01 09:35:19 - mmengine - INFO - Epoch(train) [36][880/940] lr: 1.0000e-02 eta: 15:16:46 time: 0.9997 data_time: 0.0296 memory: 21548 grad_norm: 4.0293 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1652 loss: 1.1652 2022/08/01 09:35:35 - mmengine - INFO - Epoch(train) [36][900/940] lr: 1.0000e-02 eta: 15:16:22 time: 0.7785 data_time: 0.0395 memory: 21548 grad_norm: 4.1253 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3245 loss: 1.3245 2022/08/01 09:35:53 - mmengine - INFO - Epoch(train) [36][920/940] lr: 1.0000e-02 eta: 15:16:04 time: 0.8973 data_time: 0.0328 memory: 21548 grad_norm: 4.2432 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2109 loss: 1.2109 2022/08/01 09:36:14 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 09:36:14 - mmengine - INFO - Epoch(train) [36][940/940] lr: 1.0000e-02 eta: 15:15:50 time: 1.0512 data_time: 0.0275 memory: 21548 grad_norm: 4.3814 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2899 loss: 1.2899 2022/08/01 09:36:14 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/08/01 09:36:44 - mmengine - INFO - Epoch(val) [36][20/78] eta: 0:01:24 time: 1.4581 data_time: 1.3374 memory: 3271 2022/08/01 09:36:58 - mmengine - INFO - Epoch(val) [36][40/78] eta: 0:00:25 time: 0.6625 data_time: 0.5436 memory: 3271 2022/08/01 09:37:17 - mmengine - INFO - Epoch(val) [36][60/78] eta: 0:00:17 time: 0.9484 data_time: 0.8234 memory: 3271 2022/08/01 09:37:36 - mmengine - INFO - Epoch(val) [36][78/78] acc/top1: 0.6736 acc/top5: 0.8792 acc/mean1: 0.6735 2022/08/01 09:37:59 - mmengine - INFO - Epoch(train) [37][20/940] lr: 1.0000e-02 eta: 15:15:39 time: 1.1180 data_time: 0.4283 memory: 21548 grad_norm: 4.0000 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.1685 loss: 1.1685 2022/08/01 09:38:17 - mmengine - INFO - Epoch(train) [37][40/940] lr: 1.0000e-02 eta: 15:15:20 time: 0.8915 data_time: 0.1473 memory: 21548 grad_norm: 3.9978 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1866 loss: 1.1866 2022/08/01 09:38:36 - mmengine - INFO - Epoch(train) [37][60/940] lr: 1.0000e-02 eta: 15:15:04 time: 0.9719 data_time: 0.1622 memory: 21548 grad_norm: 4.0834 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2011 loss: 1.2011 2022/08/01 09:38:52 - mmengine - INFO - Epoch(train) [37][80/940] lr: 1.0000e-02 eta: 15:14:42 time: 0.7949 data_time: 0.0682 memory: 21548 grad_norm: 4.0565 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1521 loss: 1.1521 2022/08/01 09:39:14 - mmengine - INFO - Epoch(train) [37][100/940] lr: 1.0000e-02 eta: 15:14:29 time: 1.0843 data_time: 0.0704 memory: 21548 grad_norm: 4.0109 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0745 loss: 1.0745 2022/08/01 09:39:29 - mmengine - INFO - Epoch(train) [37][120/940] lr: 1.0000e-02 eta: 15:14:06 time: 0.7662 data_time: 0.0442 memory: 21548 grad_norm: 4.0155 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.2168 loss: 1.2168 2022/08/01 09:39:48 - mmengine - INFO - Epoch(train) [37][140/940] lr: 1.0000e-02 eta: 15:13:49 time: 0.9425 data_time: 0.0423 memory: 21548 grad_norm: 4.0581 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3061 loss: 1.3061 2022/08/01 09:40:03 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 09:40:03 - mmengine - INFO - Epoch(train) [37][160/940] lr: 1.0000e-02 eta: 15:13:24 time: 0.7476 data_time: 0.0406 memory: 21548 grad_norm: 4.0585 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2113 loss: 1.2113 2022/08/01 09:40:21 - mmengine - INFO - Epoch(train) [37][180/940] lr: 1.0000e-02 eta: 15:13:07 time: 0.9315 data_time: 0.2409 memory: 21548 grad_norm: 4.1309 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1069 loss: 1.1069 2022/08/01 09:40:39 - mmengine - INFO - Epoch(train) [37][200/940] lr: 1.0000e-02 eta: 15:12:48 time: 0.9023 data_time: 0.3380 memory: 21548 grad_norm: 4.0566 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1793 loss: 1.1793 2022/08/01 09:40:58 - mmengine - INFO - Epoch(train) [37][220/940] lr: 1.0000e-02 eta: 15:12:30 time: 0.9182 data_time: 0.1551 memory: 21548 grad_norm: 4.2209 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1205 loss: 1.1205 2022/08/01 09:41:18 - mmengine - INFO - Epoch(train) [37][240/940] lr: 1.0000e-02 eta: 15:12:15 time: 1.0057 data_time: 0.1664 memory: 21548 grad_norm: 4.1659 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 1.0924 loss: 1.0924 2022/08/01 09:41:36 - mmengine - INFO - Epoch(train) [37][260/940] lr: 1.0000e-02 eta: 15:11:57 time: 0.9215 data_time: 0.0362 memory: 21548 grad_norm: 4.1427 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9793 loss: 0.9793 2022/08/01 09:41:51 - mmengine - INFO - Epoch(train) [37][280/940] lr: 1.0000e-02 eta: 15:11:32 time: 0.7108 data_time: 0.0473 memory: 21548 grad_norm: 4.1847 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2764 loss: 1.2764 2022/08/01 09:42:10 - mmengine - INFO - Epoch(train) [37][300/940] lr: 1.0000e-02 eta: 15:11:16 time: 0.9868 data_time: 0.0296 memory: 21548 grad_norm: 4.2218 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1706 loss: 1.1706 2022/08/01 09:42:26 - mmengine - INFO - Epoch(train) [37][320/940] lr: 1.0000e-02 eta: 15:10:54 time: 0.7962 data_time: 0.0382 memory: 21548 grad_norm: 4.2649 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1646 loss: 1.1646 2022/08/01 09:42:49 - mmengine - INFO - Epoch(train) [37][340/940] lr: 1.0000e-02 eta: 15:10:43 time: 1.1232 data_time: 0.0323 memory: 21548 grad_norm: 4.2308 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1791 loss: 1.1791 2022/08/01 09:43:07 - mmengine - INFO - Epoch(train) [37][360/940] lr: 1.0000e-02 eta: 15:10:25 time: 0.9323 data_time: 0.0293 memory: 21548 grad_norm: 4.2089 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2156 loss: 1.2156 2022/08/01 09:43:25 - mmengine - INFO - Epoch(train) [37][380/940] lr: 1.0000e-02 eta: 15:10:05 time: 0.8694 data_time: 0.0417 memory: 21548 grad_norm: 4.1757 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2644 loss: 1.2644 2022/08/01 09:43:45 - mmengine - INFO - Epoch(train) [37][400/940] lr: 1.0000e-02 eta: 15:09:51 time: 1.0269 data_time: 0.0290 memory: 21548 grad_norm: 4.1212 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1327 loss: 1.1327 2022/08/01 09:44:02 - mmengine - INFO - Epoch(train) [37][420/940] lr: 1.0000e-02 eta: 15:09:31 time: 0.8577 data_time: 0.0306 memory: 21548 grad_norm: 4.1504 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0965 loss: 1.0965 2022/08/01 09:44:22 - mmengine - INFO - Epoch(train) [37][440/940] lr: 1.0000e-02 eta: 15:09:15 time: 0.9814 data_time: 0.0398 memory: 21548 grad_norm: 4.1808 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1482 loss: 1.1482 2022/08/01 09:44:40 - mmengine - INFO - Epoch(train) [37][460/940] lr: 1.0000e-02 eta: 15:08:57 time: 0.9164 data_time: 0.0411 memory: 21548 grad_norm: 4.1438 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1884 loss: 1.1884 2022/08/01 09:44:58 - mmengine - INFO - Epoch(train) [37][480/940] lr: 1.0000e-02 eta: 15:08:38 time: 0.8923 data_time: 0.0384 memory: 21548 grad_norm: 4.1446 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.3284 loss: 1.3284 2022/08/01 09:45:14 - mmengine - INFO - Epoch(train) [37][500/940] lr: 1.0000e-02 eta: 15:08:16 time: 0.8020 data_time: 0.0480 memory: 21548 grad_norm: 4.0908 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2533 loss: 1.2533 2022/08/01 09:45:33 - mmengine - INFO - Epoch(train) [37][520/940] lr: 1.0000e-02 eta: 15:07:58 time: 0.9415 data_time: 0.0487 memory: 21548 grad_norm: 4.1372 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0393 loss: 1.0393 2022/08/01 09:45:50 - mmengine - INFO - Epoch(train) [37][540/940] lr: 1.0000e-02 eta: 15:07:37 time: 0.8233 data_time: 0.0345 memory: 21548 grad_norm: 4.0583 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1971 loss: 1.1971 2022/08/01 09:46:08 - mmengine - INFO - Epoch(train) [37][560/940] lr: 1.0000e-02 eta: 15:07:19 time: 0.9265 data_time: 0.0416 memory: 21548 grad_norm: 4.0287 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1103 loss: 1.1103 2022/08/01 09:46:25 - mmengine - INFO - Epoch(train) [37][580/940] lr: 1.0000e-02 eta: 15:06:58 time: 0.8352 data_time: 0.0282 memory: 21548 grad_norm: 4.1450 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2411 loss: 1.2411 2022/08/01 09:46:45 - mmengine - INFO - Epoch(train) [37][600/940] lr: 1.0000e-02 eta: 15:06:43 time: 1.0074 data_time: 0.0775 memory: 21548 grad_norm: 4.2551 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1632 loss: 1.1632 2022/08/01 09:47:03 - mmengine - INFO - Epoch(train) [37][620/940] lr: 1.0000e-02 eta: 15:06:24 time: 0.8860 data_time: 0.0323 memory: 21548 grad_norm: 4.3088 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2307 loss: 1.2307 2022/08/01 09:47:22 - mmengine - INFO - Epoch(train) [37][640/940] lr: 1.0000e-02 eta: 15:06:08 time: 0.9886 data_time: 0.0378 memory: 21548 grad_norm: 4.2002 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2114 loss: 1.2114 2022/08/01 09:47:42 - mmengine - INFO - Epoch(train) [37][660/940] lr: 1.0000e-02 eta: 15:05:52 time: 0.9650 data_time: 0.0294 memory: 21548 grad_norm: 4.1081 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.2273 loss: 1.2273 2022/08/01 09:47:57 - mmengine - INFO - Epoch(train) [37][680/940] lr: 1.0000e-02 eta: 15:05:29 time: 0.7803 data_time: 0.0378 memory: 21548 grad_norm: 4.1109 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.1687 loss: 1.1687 2022/08/01 09:48:17 - mmengine - INFO - Epoch(train) [37][700/940] lr: 1.0000e-02 eta: 15:05:13 time: 0.9888 data_time: 0.0369 memory: 21548 grad_norm: 4.2337 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2291 loss: 1.2291 2022/08/01 09:48:34 - mmengine - INFO - Epoch(train) [37][720/940] lr: 1.0000e-02 eta: 15:04:53 time: 0.8623 data_time: 0.0366 memory: 21548 grad_norm: 4.2011 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1732 loss: 1.1732 2022/08/01 09:48:53 - mmengine - INFO - Epoch(train) [37][740/940] lr: 1.0000e-02 eta: 15:04:35 time: 0.9293 data_time: 0.0341 memory: 21548 grad_norm: 4.2036 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1821 loss: 1.1821 2022/08/01 09:49:08 - mmengine - INFO - Epoch(train) [37][760/940] lr: 1.0000e-02 eta: 15:04:11 time: 0.7360 data_time: 0.0356 memory: 21548 grad_norm: 4.1944 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0760 loss: 1.0760 2022/08/01 09:49:26 - mmengine - INFO - Epoch(train) [37][780/940] lr: 1.0000e-02 eta: 15:03:53 time: 0.9086 data_time: 0.2506 memory: 21548 grad_norm: 4.1893 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2747 loss: 1.2747 2022/08/01 09:49:44 - mmengine - INFO - Epoch(train) [37][800/940] lr: 1.0000e-02 eta: 15:03:34 time: 0.9110 data_time: 0.0757 memory: 21548 grad_norm: 4.2014 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1440 loss: 1.1440 2022/08/01 09:50:02 - mmengine - INFO - Epoch(train) [37][820/940] lr: 1.0000e-02 eta: 15:03:16 time: 0.9098 data_time: 0.3485 memory: 21548 grad_norm: 4.2604 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1678 loss: 1.1678 2022/08/01 09:50:20 - mmengine - INFO - Epoch(train) [37][840/940] lr: 1.0000e-02 eta: 15:02:56 time: 0.8627 data_time: 0.3178 memory: 21548 grad_norm: 4.1680 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1900 loss: 1.1900 2022/08/01 09:50:38 - mmengine - INFO - Epoch(train) [37][860/940] lr: 1.0000e-02 eta: 15:02:38 time: 0.9257 data_time: 0.0650 memory: 21548 grad_norm: 4.1516 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1836 loss: 1.1836 2022/08/01 09:50:57 - mmengine - INFO - Epoch(train) [37][880/940] lr: 1.0000e-02 eta: 15:02:21 time: 0.9641 data_time: 0.0383 memory: 21548 grad_norm: 4.3655 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3086 loss: 1.3086 2022/08/01 09:51:14 - mmengine - INFO - Epoch(train) [37][900/940] lr: 1.0000e-02 eta: 15:02:01 time: 0.8388 data_time: 0.0293 memory: 21548 grad_norm: 4.2593 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.1634 loss: 1.1634 2022/08/01 09:51:32 - mmengine - INFO - Epoch(train) [37][920/940] lr: 1.0000e-02 eta: 15:01:42 time: 0.8948 data_time: 0.0332 memory: 21548 grad_norm: 4.1688 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1780 loss: 1.1780 2022/08/01 09:51:48 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 09:51:48 - mmengine - INFO - Epoch(train) [37][940/940] lr: 1.0000e-02 eta: 15:01:19 time: 0.7742 data_time: 0.0275 memory: 21548 grad_norm: 4.5805 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.1805 loss: 1.1805 2022/08/01 09:52:13 - mmengine - INFO - Epoch(val) [37][20/78] eta: 0:01:12 time: 1.2542 data_time: 1.1251 memory: 3271 2022/08/01 09:52:26 - mmengine - INFO - Epoch(val) [37][40/78] eta: 0:00:26 time: 0.6864 data_time: 0.5665 memory: 3271 2022/08/01 09:52:47 - mmengine - INFO - Epoch(val) [37][60/78] eta: 0:00:18 time: 1.0170 data_time: 0.8967 memory: 3271 2022/08/01 09:53:02 - mmengine - INFO - Epoch(val) [37][78/78] acc/top1: 0.6701 acc/top5: 0.8740 acc/mean1: 0.6700 2022/08/01 09:53:26 - mmengine - INFO - Epoch(train) [38][20/940] lr: 1.0000e-02 eta: 15:01:09 time: 1.1515 data_time: 0.5762 memory: 21548 grad_norm: 4.0305 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.1412 loss: 1.1412 2022/08/01 09:53:42 - mmengine - INFO - Epoch(train) [38][40/940] lr: 1.0000e-02 eta: 15:00:48 time: 0.8303 data_time: 0.1426 memory: 21548 grad_norm: 4.1159 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.1149 loss: 1.1149 2022/08/01 09:54:02 - mmengine - INFO - Epoch(train) [38][60/940] lr: 1.0000e-02 eta: 15:00:32 time: 1.0041 data_time: 0.1884 memory: 21548 grad_norm: 4.0792 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1638 loss: 1.1638 2022/08/01 09:54:18 - mmengine - INFO - Epoch(train) [38][80/940] lr: 1.0000e-02 eta: 15:00:09 time: 0.7715 data_time: 0.0710 memory: 21548 grad_norm: 4.1157 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1421 loss: 1.1421 2022/08/01 09:54:37 - mmengine - INFO - Epoch(train) [38][100/940] lr: 1.0000e-02 eta: 14:59:53 time: 0.9800 data_time: 0.0545 memory: 21548 grad_norm: 4.1898 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1666 loss: 1.1666 2022/08/01 09:54:56 - mmengine - INFO - Epoch(train) [38][120/940] lr: 1.0000e-02 eta: 14:59:36 time: 0.9450 data_time: 0.0433 memory: 21548 grad_norm: 4.2226 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1704 loss: 1.1704 2022/08/01 09:55:16 - mmengine - INFO - Epoch(train) [38][140/940] lr: 1.0000e-02 eta: 14:59:21 time: 1.0030 data_time: 0.0320 memory: 21548 grad_norm: 4.1905 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2112 loss: 1.2112 2022/08/01 09:55:30 - mmengine - INFO - Epoch(train) [38][160/940] lr: 1.0000e-02 eta: 14:58:56 time: 0.7129 data_time: 0.0355 memory: 21548 grad_norm: 4.1977 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.1377 loss: 1.1377 2022/08/01 09:55:50 - mmengine - INFO - Epoch(train) [38][180/940] lr: 1.0000e-02 eta: 14:58:40 time: 0.9769 data_time: 0.0420 memory: 21548 grad_norm: 4.1665 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3149 loss: 1.3149 2022/08/01 09:56:06 - mmengine - INFO - Epoch(train) [38][200/940] lr: 1.0000e-02 eta: 14:58:18 time: 0.8169 data_time: 0.0337 memory: 21548 grad_norm: 4.1217 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0978 loss: 1.0978 2022/08/01 09:56:26 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 09:56:26 - mmengine - INFO - Epoch(train) [38][220/940] lr: 1.0000e-02 eta: 14:58:02 time: 0.9832 data_time: 0.0374 memory: 21548 grad_norm: 4.2352 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2058 loss: 1.2058 2022/08/01 09:56:43 - mmengine - INFO - Epoch(train) [38][240/940] lr: 1.0000e-02 eta: 14:57:42 time: 0.8478 data_time: 0.0368 memory: 21548 grad_norm: 4.0242 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0975 loss: 1.0975 2022/08/01 09:57:01 - mmengine - INFO - Epoch(train) [38][260/940] lr: 1.0000e-02 eta: 14:57:23 time: 0.9110 data_time: 0.0347 memory: 21548 grad_norm: 4.1951 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1122 loss: 1.1122 2022/08/01 09:57:18 - mmengine - INFO - Epoch(train) [38][280/940] lr: 1.0000e-02 eta: 14:57:03 time: 0.8417 data_time: 0.0367 memory: 21548 grad_norm: 4.1430 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0940 loss: 1.0940 2022/08/01 09:57:37 - mmengine - INFO - Epoch(train) [38][300/940] lr: 1.0000e-02 eta: 14:56:46 time: 0.9657 data_time: 0.0426 memory: 21548 grad_norm: 4.1045 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1375 loss: 1.1375 2022/08/01 09:57:53 - mmengine - INFO - Epoch(train) [38][320/940] lr: 1.0000e-02 eta: 14:56:23 time: 0.7713 data_time: 0.0338 memory: 21548 grad_norm: 4.2265 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.2999 loss: 1.2999 2022/08/01 09:58:11 - mmengine - INFO - Epoch(train) [38][340/940] lr: 1.0000e-02 eta: 14:56:05 time: 0.9231 data_time: 0.0383 memory: 21548 grad_norm: 4.2252 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2143 loss: 1.2143 2022/08/01 09:58:28 - mmengine - INFO - Epoch(train) [38][360/940] lr: 1.0000e-02 eta: 14:55:45 time: 0.8570 data_time: 0.0369 memory: 21548 grad_norm: 4.2759 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3190 loss: 1.3190 2022/08/01 09:58:47 - mmengine - INFO - Epoch(train) [38][380/940] lr: 1.0000e-02 eta: 14:55:27 time: 0.9116 data_time: 0.0325 memory: 21548 grad_norm: 4.2807 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2337 loss: 1.2337 2022/08/01 09:59:06 - mmengine - INFO - Epoch(train) [38][400/940] lr: 1.0000e-02 eta: 14:55:10 time: 0.9546 data_time: 0.0378 memory: 21548 grad_norm: 4.1816 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2858 loss: 1.2858 2022/08/01 09:59:27 - mmengine - INFO - Epoch(train) [38][420/940] lr: 1.0000e-02 eta: 14:54:56 time: 1.0510 data_time: 0.0286 memory: 21548 grad_norm: 4.2668 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1599 loss: 1.1599 2022/08/01 09:59:43 - mmengine - INFO - Epoch(train) [38][440/940] lr: 1.0000e-02 eta: 14:54:35 time: 0.8312 data_time: 0.1060 memory: 21548 grad_norm: 4.0996 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.0585 loss: 1.0585 2022/08/01 10:00:06 - mmengine - INFO - Epoch(train) [38][460/940] lr: 1.0000e-02 eta: 14:54:24 time: 1.1078 data_time: 0.0440 memory: 21548 grad_norm: 4.2114 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.2779 loss: 1.2779 2022/08/01 10:00:22 - mmengine - INFO - Epoch(train) [38][480/940] lr: 1.0000e-02 eta: 14:54:02 time: 0.8076 data_time: 0.0291 memory: 21548 grad_norm: 4.2066 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2138 loss: 1.2138 2022/08/01 10:00:39 - mmengine - INFO - Epoch(train) [38][500/940] lr: 1.0000e-02 eta: 14:53:43 time: 0.8891 data_time: 0.0318 memory: 21548 grad_norm: 4.1909 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.1754 loss: 1.1754 2022/08/01 10:00:58 - mmengine - INFO - Epoch(train) [38][520/940] lr: 1.0000e-02 eta: 14:53:25 time: 0.9255 data_time: 0.0288 memory: 21548 grad_norm: 4.0767 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0234 loss: 1.0234 2022/08/01 10:01:17 - mmengine - INFO - Epoch(train) [38][540/940] lr: 1.0000e-02 eta: 14:53:07 time: 0.9328 data_time: 0.0340 memory: 21548 grad_norm: 4.1259 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1013 loss: 1.1013 2022/08/01 10:01:33 - mmengine - INFO - Epoch(train) [38][560/940] lr: 1.0000e-02 eta: 14:52:46 time: 0.8307 data_time: 0.0387 memory: 21548 grad_norm: 4.1678 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2431 loss: 1.2431 2022/08/01 10:01:51 - mmengine - INFO - Epoch(train) [38][580/940] lr: 1.0000e-02 eta: 14:52:28 time: 0.9083 data_time: 0.0319 memory: 21548 grad_norm: 4.1471 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.1375 loss: 1.1375 2022/08/01 10:02:08 - mmengine - INFO - Epoch(train) [38][600/940] lr: 1.0000e-02 eta: 14:52:07 time: 0.8294 data_time: 0.0382 memory: 21548 grad_norm: 4.2349 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.1442 loss: 1.1442 2022/08/01 10:02:27 - mmengine - INFO - Epoch(train) [38][620/940] lr: 1.0000e-02 eta: 14:51:50 time: 0.9493 data_time: 0.0366 memory: 21548 grad_norm: 4.2459 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1635 loss: 1.1635 2022/08/01 10:02:42 - mmengine - INFO - Epoch(train) [38][640/940] lr: 1.0000e-02 eta: 14:51:26 time: 0.7595 data_time: 0.0394 memory: 21548 grad_norm: 4.1438 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1358 loss: 1.1358 2022/08/01 10:03:00 - mmengine - INFO - Epoch(train) [38][660/940] lr: 1.0000e-02 eta: 14:51:07 time: 0.8709 data_time: 0.0416 memory: 21548 grad_norm: 4.1946 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0834 loss: 1.0834 2022/08/01 10:03:18 - mmengine - INFO - Epoch(train) [38][680/940] lr: 1.0000e-02 eta: 14:50:49 time: 0.9357 data_time: 0.0367 memory: 21548 grad_norm: 4.2041 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2241 loss: 1.2241 2022/08/01 10:03:35 - mmengine - INFO - Epoch(train) [38][700/940] lr: 1.0000e-02 eta: 14:50:27 time: 0.8088 data_time: 0.0313 memory: 21548 grad_norm: 4.2233 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1025 loss: 1.1025 2022/08/01 10:03:53 - mmengine - INFO - Epoch(train) [38][720/940] lr: 1.0000e-02 eta: 14:50:10 time: 0.9424 data_time: 0.0390 memory: 21548 grad_norm: 4.1605 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1404 loss: 1.1404 2022/08/01 10:04:10 - mmengine - INFO - Epoch(train) [38][740/940] lr: 1.0000e-02 eta: 14:49:49 time: 0.8237 data_time: 0.0304 memory: 21548 grad_norm: 4.1784 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1938 loss: 1.1938 2022/08/01 10:04:31 - mmengine - INFO - Epoch(train) [38][760/940] lr: 1.0000e-02 eta: 14:49:35 time: 1.0474 data_time: 0.0308 memory: 21548 grad_norm: 4.1772 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2261 loss: 1.2261 2022/08/01 10:04:47 - mmengine - INFO - Epoch(train) [38][780/940] lr: 1.0000e-02 eta: 14:49:14 time: 0.8210 data_time: 0.0359 memory: 21548 grad_norm: 4.1720 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.3055 loss: 1.3055 2022/08/01 10:05:08 - mmengine - INFO - Epoch(train) [38][800/940] lr: 1.0000e-02 eta: 14:48:59 time: 1.0229 data_time: 0.0366 memory: 21548 grad_norm: 4.2855 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1944 loss: 1.1944 2022/08/01 10:05:23 - mmengine - INFO - Epoch(train) [38][820/940] lr: 1.0000e-02 eta: 14:48:36 time: 0.7608 data_time: 0.0543 memory: 21548 grad_norm: 4.1756 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2040 loss: 1.2040 2022/08/01 10:05:41 - mmengine - INFO - Epoch(train) [38][840/940] lr: 1.0000e-02 eta: 14:48:18 time: 0.9140 data_time: 0.0332 memory: 21548 grad_norm: 4.1935 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0482 loss: 1.0482 2022/08/01 10:06:00 - mmengine - INFO - Epoch(train) [38][860/940] lr: 1.0000e-02 eta: 14:48:00 time: 0.9290 data_time: 0.0354 memory: 21548 grad_norm: 4.2336 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.1563 loss: 1.1563 2022/08/01 10:06:21 - mmengine - INFO - Epoch(train) [38][880/940] lr: 1.0000e-02 eta: 14:47:47 time: 1.0747 data_time: 0.0339 memory: 21548 grad_norm: 4.2530 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.3190 loss: 1.3190 2022/08/01 10:06:46 - mmengine - INFO - Epoch(train) [38][900/940] lr: 1.0000e-02 eta: 14:47:40 time: 1.2443 data_time: 0.0308 memory: 21548 grad_norm: 4.2822 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.1923 loss: 1.1923 2022/08/01 10:07:01 - mmengine - INFO - Epoch(train) [38][920/940] lr: 1.0000e-02 eta: 14:47:16 time: 0.7629 data_time: 0.0386 memory: 21548 grad_norm: 4.2461 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1228 loss: 1.1228 2022/08/01 10:07:20 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 10:07:20 - mmengine - INFO - Epoch(train) [38][940/940] lr: 1.0000e-02 eta: 14:46:58 time: 0.9099 data_time: 0.0256 memory: 21548 grad_norm: 4.4068 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0922 loss: 1.0922 2022/08/01 10:07:53 - mmengine - INFO - Epoch(val) [38][20/78] eta: 0:01:37 time: 1.6823 data_time: 1.5596 memory: 3271 2022/08/01 10:08:13 - mmengine - INFO - Epoch(val) [38][40/78] eta: 0:00:37 time: 0.9914 data_time: 0.8774 memory: 3271 2022/08/01 10:08:32 - mmengine - INFO - Epoch(val) [38][60/78] eta: 0:00:17 time: 0.9478 data_time: 0.8346 memory: 3271 2022/08/01 10:08:48 - mmengine - INFO - Epoch(val) [38][78/78] acc/top1: 0.6748 acc/top5: 0.8761 acc/mean1: 0.6748 2022/08/01 10:09:15 - mmengine - INFO - Epoch(train) [39][20/940] lr: 1.0000e-02 eta: 14:46:54 time: 1.3411 data_time: 0.3307 memory: 21548 grad_norm: 4.0391 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.1863 loss: 1.1863 2022/08/01 10:09:36 - mmengine - INFO - Epoch(train) [39][40/940] lr: 1.0000e-02 eta: 14:46:39 time: 1.0097 data_time: 0.0390 memory: 21548 grad_norm: 4.0722 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0796 loss: 1.0796 2022/08/01 10:09:52 - mmengine - INFO - Epoch(train) [39][60/940] lr: 1.0000e-02 eta: 14:46:18 time: 0.8433 data_time: 0.0365 memory: 21548 grad_norm: 4.1618 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0242 loss: 1.0242 2022/08/01 10:10:13 - mmengine - INFO - Epoch(train) [39][80/940] lr: 1.0000e-02 eta: 14:46:04 time: 1.0369 data_time: 0.0449 memory: 21548 grad_norm: 4.1149 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1078 loss: 1.1078 2022/08/01 10:10:31 - mmengine - INFO - Epoch(train) [39][100/940] lr: 1.0000e-02 eta: 14:45:44 time: 0.8776 data_time: 0.0261 memory: 21548 grad_norm: 4.1186 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1991 loss: 1.1991 2022/08/01 10:10:47 - mmengine - INFO - Epoch(train) [39][120/940] lr: 1.0000e-02 eta: 14:45:23 time: 0.8226 data_time: 0.0385 memory: 21548 grad_norm: 4.2825 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1278 loss: 1.1278 2022/08/01 10:11:09 - mmengine - INFO - Epoch(train) [39][140/940] lr: 1.0000e-02 eta: 14:45:11 time: 1.1134 data_time: 0.0345 memory: 21548 grad_norm: 4.2844 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1169 loss: 1.1169 2022/08/01 10:11:25 - mmengine - INFO - Epoch(train) [39][160/940] lr: 1.0000e-02 eta: 14:44:49 time: 0.7828 data_time: 0.0420 memory: 21548 grad_norm: 4.2175 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1254 loss: 1.1254 2022/08/01 10:11:45 - mmengine - INFO - Epoch(train) [39][180/940] lr: 1.0000e-02 eta: 14:44:33 time: 0.9724 data_time: 0.0381 memory: 21548 grad_norm: 4.1571 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2433 loss: 1.2433 2022/08/01 10:12:10 - mmengine - INFO - Epoch(train) [39][200/940] lr: 1.0000e-02 eta: 14:44:26 time: 1.2613 data_time: 0.3590 memory: 21548 grad_norm: 4.1526 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1724 loss: 1.1724 2022/08/01 10:12:26 - mmengine - INFO - Epoch(train) [39][220/940] lr: 1.0000e-02 eta: 14:44:03 time: 0.7979 data_time: 0.1726 memory: 21548 grad_norm: 4.2193 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0538 loss: 1.0538 2022/08/01 10:12:44 - mmengine - INFO - Epoch(train) [39][240/940] lr: 1.0000e-02 eta: 14:43:45 time: 0.9024 data_time: 0.2811 memory: 21548 grad_norm: 4.1505 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1178 loss: 1.1178 2022/08/01 10:13:01 - mmengine - INFO - Epoch(train) [39][260/940] lr: 1.0000e-02 eta: 14:43:24 time: 0.8368 data_time: 0.1240 memory: 21548 grad_norm: 4.1498 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1824 loss: 1.1824 2022/08/01 10:13:18 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 10:13:18 - mmengine - INFO - Epoch(train) [39][280/940] lr: 1.0000e-02 eta: 14:43:04 time: 0.8534 data_time: 0.1986 memory: 21548 grad_norm: 4.2836 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0822 loss: 1.0822 2022/08/01 10:13:34 - mmengine - INFO - Epoch(train) [39][300/940] lr: 1.0000e-02 eta: 14:42:43 time: 0.8409 data_time: 0.0732 memory: 21548 grad_norm: 4.1368 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.1279 loss: 1.1279 2022/08/01 10:13:53 - mmengine - INFO - Epoch(train) [39][320/940] lr: 1.0000e-02 eta: 14:42:26 time: 0.9290 data_time: 0.0745 memory: 21548 grad_norm: 4.1576 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2811 loss: 1.2811 2022/08/01 10:14:10 - mmengine - INFO - Epoch(train) [39][340/940] lr: 1.0000e-02 eta: 14:42:05 time: 0.8294 data_time: 0.0499 memory: 21548 grad_norm: 4.1523 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1363 loss: 1.1363 2022/08/01 10:14:28 - mmengine - INFO - Epoch(train) [39][360/940] lr: 1.0000e-02 eta: 14:41:47 time: 0.9325 data_time: 0.0385 memory: 21548 grad_norm: 4.2932 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2473 loss: 1.2473 2022/08/01 10:14:44 - mmengine - INFO - Epoch(train) [39][380/940] lr: 1.0000e-02 eta: 14:41:25 time: 0.7916 data_time: 0.0355 memory: 21548 grad_norm: 4.2490 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2011 loss: 1.2011 2022/08/01 10:15:03 - mmengine - INFO - Epoch(train) [39][400/940] lr: 1.0000e-02 eta: 14:41:07 time: 0.9283 data_time: 0.0417 memory: 21548 grad_norm: 4.1826 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2802 loss: 1.2802 2022/08/01 10:15:19 - mmengine - INFO - Epoch(train) [39][420/940] lr: 1.0000e-02 eta: 14:40:45 time: 0.8098 data_time: 0.0316 memory: 21548 grad_norm: 4.2146 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.1228 loss: 1.1228 2022/08/01 10:15:38 - mmengine - INFO - Epoch(train) [39][440/940] lr: 1.0000e-02 eta: 14:40:28 time: 0.9387 data_time: 0.0349 memory: 21548 grad_norm: 4.1979 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1795 loss: 1.1795 2022/08/01 10:15:53 - mmengine - INFO - Epoch(train) [39][460/940] lr: 1.0000e-02 eta: 14:40:05 time: 0.7757 data_time: 0.0374 memory: 21548 grad_norm: 4.1164 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1896 loss: 1.1896 2022/08/01 10:16:11 - mmengine - INFO - Epoch(train) [39][480/940] lr: 1.0000e-02 eta: 14:39:47 time: 0.8999 data_time: 0.0328 memory: 21548 grad_norm: 4.1622 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2118 loss: 1.2118 2022/08/01 10:16:27 - mmengine - INFO - Epoch(train) [39][500/940] lr: 1.0000e-02 eta: 14:39:25 time: 0.8028 data_time: 0.0406 memory: 21548 grad_norm: 4.2256 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1436 loss: 1.1436 2022/08/01 10:16:47 - mmengine - INFO - Epoch(train) [39][520/940] lr: 1.0000e-02 eta: 14:39:09 time: 0.9781 data_time: 0.0334 memory: 21548 grad_norm: 4.2455 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2177 loss: 1.2177 2022/08/01 10:17:01 - mmengine - INFO - Epoch(train) [39][540/940] lr: 1.0000e-02 eta: 14:38:44 time: 0.7125 data_time: 0.0333 memory: 21548 grad_norm: 4.2257 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2521 loss: 1.2521 2022/08/01 10:17:21 - mmengine - INFO - Epoch(train) [39][560/940] lr: 1.0000e-02 eta: 14:38:28 time: 0.9768 data_time: 0.0340 memory: 21548 grad_norm: 4.1950 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1815 loss: 1.1815 2022/08/01 10:17:35 - mmengine - INFO - Epoch(train) [39][580/940] lr: 1.0000e-02 eta: 14:38:04 time: 0.7322 data_time: 0.0503 memory: 21548 grad_norm: 4.1980 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1735 loss: 1.1735 2022/08/01 10:17:55 - mmengine - INFO - Epoch(train) [39][600/940] lr: 1.0000e-02 eta: 14:37:48 time: 0.9873 data_time: 0.0299 memory: 21548 grad_norm: 4.1964 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1720 loss: 1.1720 2022/08/01 10:18:11 - mmengine - INFO - Epoch(train) [39][620/940] lr: 1.0000e-02 eta: 14:37:25 time: 0.7848 data_time: 0.0364 memory: 21548 grad_norm: 4.3797 top1_acc: 0.7500 top5_acc: 0.7812 loss_cls: 1.2605 loss: 1.2605 2022/08/01 10:18:29 - mmengine - INFO - Epoch(train) [39][640/940] lr: 1.0000e-02 eta: 14:37:07 time: 0.9176 data_time: 0.0306 memory: 21548 grad_norm: 4.3388 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1545 loss: 1.1545 2022/08/01 10:18:44 - mmengine - INFO - Epoch(train) [39][660/940] lr: 1.0000e-02 eta: 14:36:43 time: 0.7309 data_time: 0.0402 memory: 21548 grad_norm: 4.1251 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1871 loss: 1.1871 2022/08/01 10:19:02 - mmengine - INFO - Epoch(train) [39][680/940] lr: 1.0000e-02 eta: 14:36:25 time: 0.9173 data_time: 0.0412 memory: 21548 grad_norm: 4.1680 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2618 loss: 1.2618 2022/08/01 10:19:19 - mmengine - INFO - Epoch(train) [39][700/940] lr: 1.0000e-02 eta: 14:36:05 time: 0.8624 data_time: 0.0415 memory: 21548 grad_norm: 4.2262 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1399 loss: 1.1399 2022/08/01 10:19:37 - mmengine - INFO - Epoch(train) [39][720/940] lr: 1.0000e-02 eta: 14:35:46 time: 0.8692 data_time: 0.0300 memory: 21548 grad_norm: 4.2435 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0685 loss: 1.0685 2022/08/01 10:19:53 - mmengine - INFO - Epoch(train) [39][740/940] lr: 1.0000e-02 eta: 14:35:25 time: 0.8401 data_time: 0.0406 memory: 21548 grad_norm: 4.2756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1322 loss: 1.1322 2022/08/01 10:20:10 - mmengine - INFO - Epoch(train) [39][760/940] lr: 1.0000e-02 eta: 14:35:04 time: 0.8187 data_time: 0.0801 memory: 21548 grad_norm: 4.1602 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1305 loss: 1.1305 2022/08/01 10:20:27 - mmengine - INFO - Epoch(train) [39][780/940] lr: 1.0000e-02 eta: 14:34:45 time: 0.8788 data_time: 0.1659 memory: 21548 grad_norm: 4.2208 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.1236 loss: 1.1236 2022/08/01 10:20:51 - mmengine - INFO - Epoch(train) [39][800/940] lr: 1.0000e-02 eta: 14:34:35 time: 1.2031 data_time: 0.1512 memory: 21548 grad_norm: 4.1370 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1959 loss: 1.1959 2022/08/01 10:21:22 - mmengine - INFO - Epoch(train) [39][820/940] lr: 1.0000e-02 eta: 14:34:36 time: 1.5056 data_time: 0.0278 memory: 21548 grad_norm: 4.1755 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2921 loss: 1.2921 2022/08/01 10:21:44 - mmengine - INFO - Epoch(train) [39][840/940] lr: 1.0000e-02 eta: 14:34:24 time: 1.1336 data_time: 0.0346 memory: 21548 grad_norm: 4.2373 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1449 loss: 1.1449 2022/08/01 10:22:00 - mmengine - INFO - Epoch(train) [39][860/940] lr: 1.0000e-02 eta: 14:34:02 time: 0.7871 data_time: 0.0519 memory: 21548 grad_norm: 4.2054 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1839 loss: 1.1839 2022/08/01 10:22:17 - mmengine - INFO - Epoch(train) [39][880/940] lr: 1.0000e-02 eta: 14:33:43 time: 0.8732 data_time: 0.0342 memory: 21548 grad_norm: 4.3528 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.2011 loss: 1.2011 2022/08/01 10:22:35 - mmengine - INFO - Epoch(train) [39][900/940] lr: 1.0000e-02 eta: 14:33:23 time: 0.8709 data_time: 0.0392 memory: 21548 grad_norm: 4.3132 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1883 loss: 1.1883 2022/08/01 10:22:51 - mmengine - INFO - Epoch(train) [39][920/940] lr: 1.0000e-02 eta: 14:33:01 time: 0.7981 data_time: 0.0428 memory: 21548 grad_norm: 4.2372 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.0559 loss: 1.0559 2022/08/01 10:23:05 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 10:23:05 - mmengine - INFO - Epoch(train) [39][940/940] lr: 1.0000e-02 eta: 14:32:36 time: 0.6917 data_time: 0.0394 memory: 21548 grad_norm: 4.4165 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.1911 loss: 1.1911 2022/08/01 10:23:05 - mmengine - INFO - Saving checkpoint at 39 epochs 2022/08/01 10:23:27 - mmengine - INFO - Epoch(val) [39][20/78] eta: 0:00:59 time: 1.0334 data_time: 0.9136 memory: 3271 2022/08/01 10:23:41 - mmengine - INFO - Epoch(val) [39][40/78] eta: 0:00:26 time: 0.6899 data_time: 0.5693 memory: 3271 2022/08/01 10:23:59 - mmengine - INFO - Epoch(val) [39][60/78] eta: 0:00:16 time: 0.9262 data_time: 0.8041 memory: 3271 2022/08/01 10:24:14 - mmengine - INFO - Epoch(val) [39][78/78] acc/top1: 0.6769 acc/top5: 0.8805 acc/mean1: 0.6768 2022/08/01 10:24:36 - mmengine - INFO - Epoch(train) [40][20/940] lr: 1.0000e-02 eta: 14:32:23 time: 1.0922 data_time: 0.6240 memory: 21548 grad_norm: 4.1869 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1480 loss: 1.1480 2022/08/01 10:24:51 - mmengine - INFO - Epoch(train) [40][40/940] lr: 1.0000e-02 eta: 14:32:00 time: 0.7570 data_time: 0.2665 memory: 21548 grad_norm: 4.0757 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0126 loss: 1.0126 2022/08/01 10:25:10 - mmengine - INFO - Epoch(train) [40][60/940] lr: 1.0000e-02 eta: 14:31:43 time: 0.9431 data_time: 0.4443 memory: 21548 grad_norm: 4.1329 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2346 loss: 1.2346 2022/08/01 10:25:25 - mmengine - INFO - Epoch(train) [40][80/940] lr: 1.0000e-02 eta: 14:31:20 time: 0.7638 data_time: 0.3358 memory: 21548 grad_norm: 4.2138 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.0401 loss: 1.0401 2022/08/01 10:25:44 - mmengine - INFO - Epoch(train) [40][100/940] lr: 1.0000e-02 eta: 14:31:02 time: 0.9291 data_time: 0.4685 memory: 21548 grad_norm: 4.1223 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1394 loss: 1.1394 2022/08/01 10:26:00 - mmengine - INFO - Epoch(train) [40][120/940] lr: 1.0000e-02 eta: 14:30:41 time: 0.8035 data_time: 0.2432 memory: 21548 grad_norm: 4.1460 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0801 loss: 1.0801 2022/08/01 10:26:19 - mmengine - INFO - Epoch(train) [40][140/940] lr: 1.0000e-02 eta: 14:30:24 time: 0.9827 data_time: 0.2207 memory: 21548 grad_norm: 4.2296 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1788 loss: 1.1788 2022/08/01 10:26:34 - mmengine - INFO - Epoch(train) [40][160/940] lr: 1.0000e-02 eta: 14:30:00 time: 0.7228 data_time: 0.0420 memory: 21548 grad_norm: 4.0846 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0270 loss: 1.0270 2022/08/01 10:26:54 - mmengine - INFO - Epoch(train) [40][180/940] lr: 1.0000e-02 eta: 14:29:44 time: 0.9905 data_time: 0.0508 memory: 21548 grad_norm: 4.1073 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1237 loss: 1.1237 2022/08/01 10:27:10 - mmengine - INFO - Epoch(train) [40][200/940] lr: 1.0000e-02 eta: 14:29:23 time: 0.8072 data_time: 0.0384 memory: 21548 grad_norm: 4.1388 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1276 loss: 1.1276 2022/08/01 10:27:28 - mmengine - INFO - Epoch(train) [40][220/940] lr: 1.0000e-02 eta: 14:29:05 time: 0.9109 data_time: 0.0495 memory: 21548 grad_norm: 4.2611 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0510 loss: 1.0510 2022/08/01 10:27:44 - mmengine - INFO - Epoch(train) [40][240/940] lr: 1.0000e-02 eta: 14:28:43 time: 0.8185 data_time: 0.0340 memory: 21548 grad_norm: 4.1351 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0138 loss: 1.0138 2022/08/01 10:28:03 - mmengine - INFO - Epoch(train) [40][260/940] lr: 1.0000e-02 eta: 14:28:26 time: 0.9509 data_time: 0.0390 memory: 21548 grad_norm: 4.1323 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9845 loss: 0.9845 2022/08/01 10:28:20 - mmengine - INFO - Epoch(train) [40][280/940] lr: 1.0000e-02 eta: 14:28:06 time: 0.8351 data_time: 0.0342 memory: 21548 grad_norm: 4.2426 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.1073 loss: 1.1073 2022/08/01 10:28:38 - mmengine - INFO - Epoch(train) [40][300/940] lr: 1.0000e-02 eta: 14:27:47 time: 0.9084 data_time: 0.0366 memory: 21548 grad_norm: 4.2983 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1255 loss: 1.1255 2022/08/01 10:28:53 - mmengine - INFO - Epoch(train) [40][320/940] lr: 1.0000e-02 eta: 14:27:24 time: 0.7427 data_time: 0.0347 memory: 21548 grad_norm: 4.1932 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1026 loss: 1.1026 2022/08/01 10:29:12 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 10:29:12 - mmengine - INFO - Epoch(train) [40][340/940] lr: 1.0000e-02 eta: 14:27:07 time: 0.9523 data_time: 0.0349 memory: 21548 grad_norm: 4.1925 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1786 loss: 1.1786 2022/08/01 10:29:27 - mmengine - INFO - Epoch(train) [40][360/940] lr: 1.0000e-02 eta: 14:26:44 time: 0.7682 data_time: 0.0348 memory: 21548 grad_norm: 4.2576 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1065 loss: 1.1065 2022/08/01 10:29:46 - mmengine - INFO - Epoch(train) [40][380/940] lr: 1.0000e-02 eta: 14:26:27 time: 0.9428 data_time: 0.0350 memory: 21548 grad_norm: 4.2874 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1100 loss: 1.1100 2022/08/01 10:30:02 - mmengine - INFO - Epoch(train) [40][400/940] lr: 1.0000e-02 eta: 14:26:04 time: 0.7581 data_time: 0.0395 memory: 21548 grad_norm: 4.2893 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1446 loss: 1.1446 2022/08/01 10:30:21 - mmengine - INFO - Epoch(train) [40][420/940] lr: 1.0000e-02 eta: 14:25:47 time: 0.9517 data_time: 0.0359 memory: 21548 grad_norm: 4.2226 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2346 loss: 1.2346 2022/08/01 10:30:36 - mmengine - INFO - Epoch(train) [40][440/940] lr: 1.0000e-02 eta: 14:25:24 time: 0.7804 data_time: 0.0333 memory: 21548 grad_norm: 4.1112 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0559 loss: 1.0559 2022/08/01 10:30:53 - mmengine - INFO - Epoch(train) [40][460/940] lr: 1.0000e-02 eta: 14:25:05 time: 0.8647 data_time: 0.0391 memory: 21548 grad_norm: 4.1729 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0846 loss: 1.0846 2022/08/01 10:31:10 - mmengine - INFO - Epoch(train) [40][480/940] lr: 1.0000e-02 eta: 14:24:43 time: 0.8116 data_time: 0.0374 memory: 21548 grad_norm: 4.1815 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0712 loss: 1.0712 2022/08/01 10:31:28 - mmengine - INFO - Epoch(train) [40][500/940] lr: 1.0000e-02 eta: 14:24:24 time: 0.8952 data_time: 0.0375 memory: 21548 grad_norm: 4.2118 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2130 loss: 1.2130 2022/08/01 10:31:43 - mmengine - INFO - Epoch(train) [40][520/940] lr: 1.0000e-02 eta: 14:24:02 time: 0.7676 data_time: 0.0384 memory: 21548 grad_norm: 4.2800 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1360 loss: 1.1360 2022/08/01 10:32:02 - mmengine - INFO - Epoch(train) [40][540/940] lr: 1.0000e-02 eta: 14:23:45 time: 0.9599 data_time: 0.0377 memory: 21548 grad_norm: 4.1806 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1859 loss: 1.1859 2022/08/01 10:32:17 - mmengine - INFO - Epoch(train) [40][560/940] lr: 1.0000e-02 eta: 14:23:21 time: 0.7245 data_time: 0.0382 memory: 21548 grad_norm: 4.2886 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1095 loss: 1.1095 2022/08/01 10:32:34 - mmengine - INFO - Epoch(train) [40][580/940] lr: 1.0000e-02 eta: 14:23:02 time: 0.8838 data_time: 0.0499 memory: 21548 grad_norm: 4.1876 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1728 loss: 1.1728 2022/08/01 10:32:52 - mmengine - INFO - Epoch(train) [40][600/940] lr: 1.0000e-02 eta: 14:22:43 time: 0.8803 data_time: 0.0374 memory: 21548 grad_norm: 4.2594 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2116 loss: 1.2116 2022/08/01 10:33:09 - mmengine - INFO - Epoch(train) [40][620/940] lr: 1.0000e-02 eta: 14:22:22 time: 0.8328 data_time: 0.0670 memory: 21548 grad_norm: 4.0954 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1309 loss: 1.1309 2022/08/01 10:33:27 - mmengine - INFO - Epoch(train) [40][640/940] lr: 1.0000e-02 eta: 14:22:04 time: 0.9117 data_time: 0.0401 memory: 21548 grad_norm: 4.2432 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3995 loss: 1.3995 2022/08/01 10:33:44 - mmengine - INFO - Epoch(train) [40][660/940] lr: 1.0000e-02 eta: 14:21:43 time: 0.8408 data_time: 0.0359 memory: 21548 grad_norm: 4.4021 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2140 loss: 1.2140 2022/08/01 10:34:01 - mmengine - INFO - Epoch(train) [40][680/940] lr: 1.0000e-02 eta: 14:21:23 time: 0.8539 data_time: 0.0354 memory: 21548 grad_norm: 4.2584 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1157 loss: 1.1157 2022/08/01 10:34:19 - mmengine - INFO - Epoch(train) [40][700/940] lr: 1.0000e-02 eta: 14:21:05 time: 0.9155 data_time: 0.0459 memory: 21548 grad_norm: 4.3106 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2043 loss: 1.2043 2022/08/01 10:34:35 - mmengine - INFO - Epoch(train) [40][720/940] lr: 1.0000e-02 eta: 14:20:44 time: 0.8204 data_time: 0.0379 memory: 21548 grad_norm: 4.2370 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0939 loss: 1.0939 2022/08/01 10:34:53 - mmengine - INFO - Epoch(train) [40][740/940] lr: 1.0000e-02 eta: 14:20:24 time: 0.8541 data_time: 0.0353 memory: 21548 grad_norm: 4.1542 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1743 loss: 1.1743 2022/08/01 10:35:09 - mmengine - INFO - Epoch(train) [40][760/940] lr: 1.0000e-02 eta: 14:20:04 time: 0.8376 data_time: 0.0378 memory: 21548 grad_norm: 4.2924 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2179 loss: 1.2179 2022/08/01 10:35:27 - mmengine - INFO - Epoch(train) [40][780/940] lr: 1.0000e-02 eta: 14:19:44 time: 0.8792 data_time: 0.0499 memory: 21548 grad_norm: 4.2075 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2013 loss: 1.2013 2022/08/01 10:35:44 - mmengine - INFO - Epoch(train) [40][800/940] lr: 1.0000e-02 eta: 14:19:24 time: 0.8551 data_time: 0.0646 memory: 21548 grad_norm: 4.1848 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0990 loss: 1.0990 2022/08/01 10:36:00 - mmengine - INFO - Epoch(train) [40][820/940] lr: 1.0000e-02 eta: 14:19:03 time: 0.8093 data_time: 0.1240 memory: 21548 grad_norm: 4.3106 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2474 loss: 1.2474 2022/08/01 10:36:17 - mmengine - INFO - Epoch(train) [40][840/940] lr: 1.0000e-02 eta: 14:18:43 time: 0.8569 data_time: 0.0420 memory: 21548 grad_norm: 4.2198 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1135 loss: 1.1135 2022/08/01 10:36:35 - mmengine - INFO - Epoch(train) [40][860/940] lr: 1.0000e-02 eta: 14:18:25 time: 0.8998 data_time: 0.0533 memory: 21548 grad_norm: 4.2447 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0895 loss: 1.0895 2022/08/01 10:36:53 - mmengine - INFO - Epoch(train) [40][880/940] lr: 1.0000e-02 eta: 14:18:06 time: 0.9070 data_time: 0.0365 memory: 21548 grad_norm: 4.2255 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1335 loss: 1.1335 2022/08/01 10:37:09 - mmengine - INFO - Epoch(train) [40][900/940] lr: 1.0000e-02 eta: 14:17:44 time: 0.7795 data_time: 0.0536 memory: 21548 grad_norm: 4.2871 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1812 loss: 1.1812 2022/08/01 10:37:27 - mmengine - INFO - Epoch(train) [40][920/940] lr: 1.0000e-02 eta: 14:17:26 time: 0.9164 data_time: 0.0390 memory: 21548 grad_norm: 4.2207 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1922 loss: 1.1922 2022/08/01 10:37:42 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 10:37:42 - mmengine - INFO - Epoch(train) [40][940/940] lr: 1.0000e-02 eta: 14:17:02 time: 0.7194 data_time: 0.0237 memory: 21548 grad_norm: 4.4537 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.1533 loss: 1.1533 2022/08/01 10:38:02 - mmengine - INFO - Epoch(val) [40][20/78] eta: 0:00:59 time: 1.0195 data_time: 0.8964 memory: 3271 2022/08/01 10:38:17 - mmengine - INFO - Epoch(val) [40][40/78] eta: 0:00:27 time: 0.7354 data_time: 0.6101 memory: 3271 2022/08/01 10:38:36 - mmengine - INFO - Epoch(val) [40][60/78] eta: 0:00:17 time: 0.9445 data_time: 0.8235 memory: 3271 2022/08/01 10:38:57 - mmengine - INFO - Epoch(val) [40][78/78] acc/top1: 0.6827 acc/top5: 0.8827 acc/mean1: 0.6826 2022/08/01 10:38:57 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_34.pth is removed 2022/08/01 10:38:58 - mmengine - INFO - The best checkpoint with 0.6827 acc/top1 at 41 epoch is saved to best_acc/top1_epoch_41.pth. 2022/08/01 10:39:19 - mmengine - INFO - Epoch(train) [41][20/940] lr: 1.0000e-03 eta: 14:16:49 time: 1.0733 data_time: 0.6529 memory: 21548 grad_norm: 3.9974 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0617 loss: 1.0617 2022/08/01 10:39:35 - mmengine - INFO - Epoch(train) [41][40/940] lr: 1.0000e-03 eta: 14:16:27 time: 0.7912 data_time: 0.3729 memory: 21548 grad_norm: 3.9854 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0441 loss: 1.0441 2022/08/01 10:39:54 - mmengine - INFO - Epoch(train) [41][60/940] lr: 1.0000e-03 eta: 14:16:09 time: 0.9352 data_time: 0.4685 memory: 21548 grad_norm: 3.8516 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0701 loss: 1.0701 2022/08/01 10:40:09 - mmengine - INFO - Epoch(train) [41][80/940] lr: 1.0000e-03 eta: 14:15:47 time: 0.7702 data_time: 0.3017 memory: 21548 grad_norm: 3.9213 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.1193 loss: 1.1193 2022/08/01 10:40:28 - mmengine - INFO - Epoch(train) [41][100/940] lr: 1.0000e-03 eta: 14:15:29 time: 0.9345 data_time: 0.4678 memory: 21548 grad_norm: 3.8346 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0366 loss: 1.0366 2022/08/01 10:40:44 - mmengine - INFO - Epoch(train) [41][120/940] lr: 1.0000e-03 eta: 14:15:07 time: 0.7941 data_time: 0.3747 memory: 21548 grad_norm: 3.8660 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 1.1329 loss: 1.1329 2022/08/01 10:41:03 - mmengine - INFO - Epoch(train) [41][140/940] lr: 1.0000e-03 eta: 14:14:50 time: 0.9402 data_time: 0.4924 memory: 21548 grad_norm: 4.0323 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.0855 loss: 1.0855 2022/08/01 10:41:19 - mmengine - INFO - Epoch(train) [41][160/940] lr: 1.0000e-03 eta: 14:14:28 time: 0.7933 data_time: 0.2977 memory: 21548 grad_norm: 3.9544 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9377 loss: 0.9377 2022/08/01 10:41:37 - mmengine - INFO - Epoch(train) [41][180/940] lr: 1.0000e-03 eta: 14:14:11 time: 0.9289 data_time: 0.5106 memory: 21548 grad_norm: 3.8345 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0175 loss: 1.0175 2022/08/01 10:41:53 - mmengine - INFO - Epoch(train) [41][200/940] lr: 1.0000e-03 eta: 14:13:49 time: 0.8159 data_time: 0.3981 memory: 21548 grad_norm: 3.9923 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1003 loss: 1.1003 2022/08/01 10:42:10 - mmengine - INFO - Epoch(train) [41][220/940] lr: 1.0000e-03 eta: 14:13:29 time: 0.8390 data_time: 0.3964 memory: 21548 grad_norm: 3.7947 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0437 loss: 1.0437 2022/08/01 10:42:26 - mmengine - INFO - Epoch(train) [41][240/940] lr: 1.0000e-03 eta: 14:13:08 time: 0.8091 data_time: 0.3655 memory: 21548 grad_norm: 3.9059 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0101 loss: 1.0101 2022/08/01 10:42:45 - mmengine - INFO - Epoch(train) [41][260/940] lr: 1.0000e-03 eta: 14:12:50 time: 0.9156 data_time: 0.2988 memory: 21548 grad_norm: 3.8649 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8833 loss: 0.8833 2022/08/01 10:43:01 - mmengine - INFO - Epoch(train) [41][280/940] lr: 1.0000e-03 eta: 14:12:29 time: 0.8386 data_time: 0.3133 memory: 21548 grad_norm: 3.7986 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9916 loss: 0.9916 2022/08/01 10:43:18 - mmengine - INFO - Epoch(train) [41][300/940] lr: 1.0000e-03 eta: 14:12:09 time: 0.8300 data_time: 0.3157 memory: 21548 grad_norm: 3.8265 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0194 loss: 1.0194 2022/08/01 10:43:36 - mmengine - INFO - Epoch(train) [41][320/940] lr: 1.0000e-03 eta: 14:11:50 time: 0.9072 data_time: 0.4233 memory: 21548 grad_norm: 3.8236 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9547 loss: 0.9547 2022/08/01 10:43:53 - mmengine - INFO - Epoch(train) [41][340/940] lr: 1.0000e-03 eta: 14:11:29 time: 0.8173 data_time: 0.2694 memory: 21548 grad_norm: 3.8874 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9744 loss: 0.9744 2022/08/01 10:44:11 - mmengine - INFO - Epoch(train) [41][360/940] lr: 1.0000e-03 eta: 14:11:11 time: 0.9067 data_time: 0.2977 memory: 21548 grad_norm: 3.8667 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8999 loss: 0.8999 2022/08/01 10:44:27 - mmengine - INFO - Epoch(train) [41][380/940] lr: 1.0000e-03 eta: 14:10:49 time: 0.7928 data_time: 0.1202 memory: 21548 grad_norm: 3.8484 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9968 loss: 0.9968 2022/08/01 10:44:46 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 10:44:46 - mmengine - INFO - Epoch(train) [41][400/940] lr: 1.0000e-03 eta: 14:10:32 time: 0.9496 data_time: 0.1784 memory: 21548 grad_norm: 3.7378 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9825 loss: 0.9825 2022/08/01 10:45:02 - mmengine - INFO - Epoch(train) [41][420/940] lr: 1.0000e-03 eta: 14:10:11 time: 0.8005 data_time: 0.2318 memory: 21548 grad_norm: 3.8214 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9662 loss: 0.9662 2022/08/01 10:45:20 - mmengine - INFO - Epoch(train) [41][440/940] lr: 1.0000e-03 eta: 14:09:52 time: 0.9057 data_time: 0.3126 memory: 21548 grad_norm: 3.7527 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0553 loss: 1.0553 2022/08/01 10:45:35 - mmengine - INFO - Epoch(train) [41][460/940] lr: 1.0000e-03 eta: 14:09:30 time: 0.7631 data_time: 0.2527 memory: 21548 grad_norm: 3.8724 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9429 loss: 0.9429 2022/08/01 10:45:54 - mmengine - INFO - Epoch(train) [41][480/940] lr: 1.0000e-03 eta: 14:09:12 time: 0.9329 data_time: 0.3173 memory: 21548 grad_norm: 3.8726 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9318 loss: 0.9318 2022/08/01 10:46:09 - mmengine - INFO - Epoch(train) [41][500/940] lr: 1.0000e-03 eta: 14:08:50 time: 0.7933 data_time: 0.1965 memory: 21548 grad_norm: 3.8809 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0929 loss: 1.0929 2022/08/01 10:46:28 - mmengine - INFO - Epoch(train) [41][520/940] lr: 1.0000e-03 eta: 14:08:32 time: 0.9089 data_time: 0.2315 memory: 21548 grad_norm: 3.9010 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9045 loss: 0.9045 2022/08/01 10:46:43 - mmengine - INFO - Epoch(train) [41][540/940] lr: 1.0000e-03 eta: 14:08:10 time: 0.7802 data_time: 0.2567 memory: 21548 grad_norm: 3.8651 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0009 loss: 1.0009 2022/08/01 10:47:02 - mmengine - INFO - Epoch(train) [41][560/940] lr: 1.0000e-03 eta: 14:07:53 time: 0.9339 data_time: 0.4893 memory: 21548 grad_norm: 3.8664 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9840 loss: 0.9840 2022/08/01 10:47:18 - mmengine - INFO - Epoch(train) [41][580/940] lr: 1.0000e-03 eta: 14:07:31 time: 0.8059 data_time: 0.3613 memory: 21548 grad_norm: 3.7973 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8993 loss: 0.8993 2022/08/01 10:47:37 - mmengine - INFO - Epoch(train) [41][600/940] lr: 1.0000e-03 eta: 14:07:13 time: 0.9266 data_time: 0.4935 memory: 21548 grad_norm: 3.7883 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1247 loss: 1.1247 2022/08/01 10:47:52 - mmengine - INFO - Epoch(train) [41][620/940] lr: 1.0000e-03 eta: 14:06:51 time: 0.7692 data_time: 0.3138 memory: 21548 grad_norm: 3.7982 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9445 loss: 0.9445 2022/08/01 10:48:11 - mmengine - INFO - Epoch(train) [41][640/940] lr: 1.0000e-03 eta: 14:06:33 time: 0.9296 data_time: 0.4966 memory: 21548 grad_norm: 3.9961 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0542 loss: 1.0542 2022/08/01 10:48:26 - mmengine - INFO - Epoch(train) [41][660/940] lr: 1.0000e-03 eta: 14:06:10 time: 0.7475 data_time: 0.2829 memory: 21548 grad_norm: 3.9392 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0096 loss: 1.0096 2022/08/01 10:48:45 - mmengine - INFO - Epoch(train) [41][680/940] lr: 1.0000e-03 eta: 14:05:54 time: 0.9599 data_time: 0.4300 memory: 21548 grad_norm: 3.9239 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9481 loss: 0.9481 2022/08/01 10:49:01 - mmengine - INFO - Epoch(train) [41][700/940] lr: 1.0000e-03 eta: 14:05:33 time: 0.8247 data_time: 0.2078 memory: 21548 grad_norm: 3.8064 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0409 loss: 1.0409 2022/08/01 10:49:19 - mmengine - INFO - Epoch(train) [41][720/940] lr: 1.0000e-03 eta: 14:05:14 time: 0.8766 data_time: 0.2041 memory: 21548 grad_norm: 3.8860 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9325 loss: 0.9325 2022/08/01 10:49:36 - mmengine - INFO - Epoch(train) [41][740/940] lr: 1.0000e-03 eta: 14:04:54 time: 0.8499 data_time: 0.0515 memory: 21548 grad_norm: 4.0329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0091 loss: 1.0091 2022/08/01 10:49:53 - mmengine - INFO - Epoch(train) [41][760/940] lr: 1.0000e-03 eta: 14:04:33 time: 0.8387 data_time: 0.0361 memory: 21548 grad_norm: 3.9360 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9213 loss: 0.9213 2022/08/01 10:50:11 - mmengine - INFO - Epoch(train) [41][780/940] lr: 1.0000e-03 eta: 14:04:15 time: 0.8988 data_time: 0.0351 memory: 21548 grad_norm: 4.0483 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9442 loss: 0.9442 2022/08/01 10:50:28 - mmengine - INFO - Epoch(train) [41][800/940] lr: 1.0000e-03 eta: 14:03:55 time: 0.8599 data_time: 0.0416 memory: 21548 grad_norm: 3.8555 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9426 loss: 0.9426 2022/08/01 10:50:45 - mmengine - INFO - Epoch(train) [41][820/940] lr: 1.0000e-03 eta: 14:03:36 time: 0.8674 data_time: 0.0394 memory: 21548 grad_norm: 3.8520 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9272 loss: 0.9272 2022/08/01 10:51:01 - mmengine - INFO - Epoch(train) [41][840/940] lr: 1.0000e-03 eta: 14:03:15 time: 0.8147 data_time: 0.0351 memory: 21548 grad_norm: 3.8675 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9208 loss: 0.9208 2022/08/01 10:51:20 - mmengine - INFO - Epoch(train) [41][860/940] lr: 1.0000e-03 eta: 14:02:57 time: 0.9206 data_time: 0.0446 memory: 21548 grad_norm: 3.9390 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0931 loss: 1.0931 2022/08/01 10:51:37 - mmengine - INFO - Epoch(train) [41][880/940] lr: 1.0000e-03 eta: 14:02:36 time: 0.8380 data_time: 0.0366 memory: 21548 grad_norm: 3.8000 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0007 loss: 1.0007 2022/08/01 10:51:53 - mmengine - INFO - Epoch(train) [41][900/940] lr: 1.0000e-03 eta: 14:02:16 time: 0.8334 data_time: 0.0363 memory: 21548 grad_norm: 3.8363 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9928 loss: 0.9928 2022/08/01 10:52:10 - mmengine - INFO - Epoch(train) [41][920/940] lr: 1.0000e-03 eta: 14:01:55 time: 0.8279 data_time: 0.0349 memory: 21548 grad_norm: 3.8680 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9407 loss: 0.9407 2022/08/01 10:52:25 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 10:52:25 - mmengine - INFO - Epoch(train) [41][940/940] lr: 1.0000e-03 eta: 14:01:33 time: 0.7570 data_time: 0.0345 memory: 21548 grad_norm: 4.0724 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.1151 loss: 1.1151 2022/08/01 10:52:45 - mmengine - INFO - Epoch(val) [41][20/78] eta: 0:00:59 time: 1.0184 data_time: 0.8953 memory: 3271 2022/08/01 10:53:00 - mmengine - INFO - Epoch(val) [41][40/78] eta: 0:00:26 time: 0.7099 data_time: 0.5898 memory: 3271 2022/08/01 10:53:18 - mmengine - INFO - Epoch(val) [41][60/78] eta: 0:00:16 time: 0.9386 data_time: 0.8160 memory: 3271 2022/08/01 10:53:36 - mmengine - INFO - Epoch(val) [41][78/78] acc/top1: 0.7079 acc/top5: 0.8966 acc/mean1: 0.7078 2022/08/01 10:53:36 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_41.pth is removed 2022/08/01 10:53:37 - mmengine - INFO - The best checkpoint with 0.7079 acc/top1 at 42 epoch is saved to best_acc/top1_epoch_42.pth. 2022/08/01 10:53:58 - mmengine - INFO - Epoch(train) [42][20/940] lr: 1.0000e-03 eta: 14:01:19 time: 1.0644 data_time: 0.6249 memory: 21548 grad_norm: 3.7962 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9908 loss: 0.9908 2022/08/01 10:54:13 - mmengine - INFO - Epoch(train) [42][40/940] lr: 1.0000e-03 eta: 14:00:56 time: 0.7581 data_time: 0.1927 memory: 21548 grad_norm: 3.8338 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9394 loss: 0.9394 2022/08/01 10:54:32 - mmengine - INFO - Epoch(train) [42][60/940] lr: 1.0000e-03 eta: 14:00:39 time: 0.9444 data_time: 0.1040 memory: 21548 grad_norm: 3.8297 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8723 loss: 0.8723 2022/08/01 10:54:47 - mmengine - INFO - Epoch(train) [42][80/940] lr: 1.0000e-03 eta: 14:00:17 time: 0.7780 data_time: 0.0999 memory: 21548 grad_norm: 3.8326 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.9043 loss: 0.9043 2022/08/01 10:55:07 - mmengine - INFO - Epoch(train) [42][100/940] lr: 1.0000e-03 eta: 14:00:02 time: 0.9989 data_time: 0.0667 memory: 21548 grad_norm: 3.7663 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9756 loss: 0.9756 2022/08/01 10:55:24 - mmengine - INFO - Epoch(train) [42][120/940] lr: 1.0000e-03 eta: 13:59:41 time: 0.8293 data_time: 0.0347 memory: 21548 grad_norm: 3.8832 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9591 loss: 0.9591 2022/08/01 10:55:43 - mmengine - INFO - Epoch(train) [42][140/940] lr: 1.0000e-03 eta: 13:59:24 time: 0.9630 data_time: 0.0381 memory: 21548 grad_norm: 3.7235 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9374 loss: 0.9374 2022/08/01 10:55:58 - mmengine - INFO - Epoch(train) [42][160/940] lr: 1.0000e-03 eta: 13:59:00 time: 0.7149 data_time: 0.0365 memory: 21548 grad_norm: 3.8792 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0538 loss: 1.0538 2022/08/01 10:56:17 - mmengine - INFO - Epoch(train) [42][180/940] lr: 1.0000e-03 eta: 13:58:44 time: 0.9537 data_time: 0.0407 memory: 21548 grad_norm: 3.8194 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8778 loss: 0.8778 2022/08/01 10:56:33 - mmengine - INFO - Epoch(train) [42][200/940] lr: 1.0000e-03 eta: 13:58:23 time: 0.8360 data_time: 0.0315 memory: 21548 grad_norm: 3.8661 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9943 loss: 0.9943 2022/08/01 10:56:53 - mmengine - INFO - Epoch(train) [42][220/940] lr: 1.0000e-03 eta: 13:58:07 time: 0.9944 data_time: 0.0344 memory: 21548 grad_norm: 3.8353 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9274 loss: 0.9274 2022/08/01 10:57:07 - mmengine - INFO - Epoch(train) [42][240/940] lr: 1.0000e-03 eta: 13:57:43 time: 0.7076 data_time: 0.0360 memory: 21548 grad_norm: 3.8675 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0106 loss: 1.0106 2022/08/01 10:57:26 - mmengine - INFO - Epoch(train) [42][260/940] lr: 1.0000e-03 eta: 13:57:26 time: 0.9331 data_time: 0.0371 memory: 21548 grad_norm: 3.8717 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9470 loss: 0.9470 2022/08/01 10:57:43 - mmengine - INFO - Epoch(train) [42][280/940] lr: 1.0000e-03 eta: 13:57:05 time: 0.8254 data_time: 0.0405 memory: 21548 grad_norm: 3.8515 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9366 loss: 0.9366 2022/08/01 10:58:02 - mmengine - INFO - Epoch(train) [42][300/940] lr: 1.0000e-03 eta: 13:56:49 time: 0.9677 data_time: 0.0323 memory: 21548 grad_norm: 3.9287 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9222 loss: 0.9222 2022/08/01 10:58:18 - mmengine - INFO - Epoch(train) [42][320/940] lr: 1.0000e-03 eta: 13:56:27 time: 0.7756 data_time: 0.0342 memory: 21548 grad_norm: 3.9195 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0704 loss: 1.0704 2022/08/01 10:58:35 - mmengine - INFO - Epoch(train) [42][340/940] lr: 1.0000e-03 eta: 13:56:08 time: 0.8937 data_time: 0.0286 memory: 21548 grad_norm: 3.9139 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0529 loss: 1.0529 2022/08/01 10:59:03 - mmengine - INFO - Epoch(train) [42][360/940] lr: 1.0000e-03 eta: 13:56:03 time: 1.3861 data_time: 0.0276 memory: 21548 grad_norm: 3.8675 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.0556 loss: 1.0556 2022/08/01 10:59:30 - mmengine - INFO - Epoch(train) [42][380/940] lr: 1.0000e-03 eta: 13:55:57 time: 1.3351 data_time: 0.0343 memory: 21548 grad_norm: 3.7975 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9377 loss: 0.9377 2022/08/01 10:59:46 - mmengine - INFO - Epoch(train) [42][400/940] lr: 1.0000e-03 eta: 13:55:36 time: 0.8087 data_time: 0.0329 memory: 21548 grad_norm: 3.8034 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9259 loss: 0.9259 2022/08/01 11:00:05 - mmengine - INFO - Epoch(train) [42][420/940] lr: 1.0000e-03 eta: 13:55:18 time: 0.9293 data_time: 0.0330 memory: 21548 grad_norm: 3.8981 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9495 loss: 0.9495 2022/08/01 11:00:21 - mmengine - INFO - Epoch(train) [42][440/940] lr: 1.0000e-03 eta: 13:54:57 time: 0.8174 data_time: 0.0341 memory: 21548 grad_norm: 3.8185 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8783 loss: 0.8783 2022/08/01 11:00:39 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 11:00:39 - mmengine - INFO - Epoch(train) [42][460/940] lr: 1.0000e-03 eta: 13:54:39 time: 0.8968 data_time: 0.0616 memory: 21548 grad_norm: 3.8005 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9083 loss: 0.9083 2022/08/01 11:00:55 - mmengine - INFO - Epoch(train) [42][480/940] lr: 1.0000e-03 eta: 13:54:17 time: 0.7907 data_time: 0.0343 memory: 21548 grad_norm: 3.8626 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0323 loss: 1.0323 2022/08/01 11:01:16 - mmengine - INFO - Epoch(train) [42][500/940] lr: 1.0000e-03 eta: 13:54:03 time: 1.0584 data_time: 0.1066 memory: 21548 grad_norm: 3.8869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9830 loss: 0.9830 2022/08/01 11:01:31 - mmengine - INFO - Epoch(train) [42][520/940] lr: 1.0000e-03 eta: 13:53:41 time: 0.7559 data_time: 0.0356 memory: 21548 grad_norm: 3.8848 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9960 loss: 0.9960 2022/08/01 11:01:49 - mmengine - INFO - Epoch(train) [42][540/940] lr: 1.0000e-03 eta: 13:53:22 time: 0.9102 data_time: 0.0328 memory: 21548 grad_norm: 3.8893 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0132 loss: 1.0132 2022/08/01 11:02:06 - mmengine - INFO - Epoch(train) [42][560/940] lr: 1.0000e-03 eta: 13:53:03 time: 0.8622 data_time: 0.1508 memory: 21548 grad_norm: 3.9784 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9548 loss: 0.9548 2022/08/01 11:02:23 - mmengine - INFO - Epoch(train) [42][580/940] lr: 1.0000e-03 eta: 13:52:42 time: 0.8294 data_time: 0.1335 memory: 21548 grad_norm: 3.8640 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9340 loss: 0.9340 2022/08/01 11:02:39 - mmengine - INFO - Epoch(train) [42][600/940] lr: 1.0000e-03 eta: 13:52:21 time: 0.8011 data_time: 0.1317 memory: 21548 grad_norm: 3.9970 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.0200 loss: 1.0200 2022/08/01 11:02:58 - mmengine - INFO - Epoch(train) [42][620/940] lr: 1.0000e-03 eta: 13:52:04 time: 0.9444 data_time: 0.0497 memory: 21548 grad_norm: 3.8220 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9049 loss: 0.9049 2022/08/01 11:03:12 - mmengine - INFO - Epoch(train) [42][640/940] lr: 1.0000e-03 eta: 13:51:40 time: 0.7248 data_time: 0.0340 memory: 21548 grad_norm: 3.9121 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0528 loss: 1.0528 2022/08/01 11:03:30 - mmengine - INFO - Epoch(train) [42][660/940] lr: 1.0000e-03 eta: 13:51:22 time: 0.8920 data_time: 0.0318 memory: 21548 grad_norm: 3.8081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9890 loss: 0.9890 2022/08/01 11:03:47 - mmengine - INFO - Epoch(train) [42][680/940] lr: 1.0000e-03 eta: 13:51:02 time: 0.8421 data_time: 0.0395 memory: 21548 grad_norm: 3.8441 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 0.9396 loss: 0.9396 2022/08/01 11:04:06 - mmengine - INFO - Epoch(train) [42][700/940] lr: 1.0000e-03 eta: 13:50:44 time: 0.9241 data_time: 0.0354 memory: 21548 grad_norm: 3.9407 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.9083 loss: 0.9083 2022/08/01 11:04:22 - mmengine - INFO - Epoch(train) [42][720/940] lr: 1.0000e-03 eta: 13:50:23 time: 0.8300 data_time: 0.0569 memory: 21548 grad_norm: 3.9801 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.8153 loss: 0.8153 2022/08/01 11:04:39 - mmengine - INFO - Epoch(train) [42][740/940] lr: 1.0000e-03 eta: 13:50:04 time: 0.8546 data_time: 0.0551 memory: 21548 grad_norm: 3.8525 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9186 loss: 0.9186 2022/08/01 11:04:55 - mmengine - INFO - Epoch(train) [42][760/940] lr: 1.0000e-03 eta: 13:49:42 time: 0.7778 data_time: 0.0345 memory: 21548 grad_norm: 3.9325 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9921 loss: 0.9921 2022/08/01 11:05:13 - mmengine - INFO - Epoch(train) [42][780/940] lr: 1.0000e-03 eta: 13:49:23 time: 0.8961 data_time: 0.0343 memory: 21548 grad_norm: 3.9965 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9839 loss: 0.9839 2022/08/01 11:05:28 - mmengine - INFO - Epoch(train) [42][800/940] lr: 1.0000e-03 eta: 13:49:01 time: 0.7684 data_time: 0.0358 memory: 21548 grad_norm: 3.8694 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9925 loss: 0.9925 2022/08/01 11:05:47 - mmengine - INFO - Epoch(train) [42][820/940] lr: 1.0000e-03 eta: 13:48:43 time: 0.9302 data_time: 0.1144 memory: 21548 grad_norm: 3.8386 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8439 loss: 0.8439 2022/08/01 11:06:03 - mmengine - INFO - Epoch(train) [42][840/940] lr: 1.0000e-03 eta: 13:48:23 time: 0.8236 data_time: 0.0979 memory: 21548 grad_norm: 3.8773 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9382 loss: 0.9382 2022/08/01 11:06:21 - mmengine - INFO - Epoch(train) [42][860/940] lr: 1.0000e-03 eta: 13:48:04 time: 0.8736 data_time: 0.0582 memory: 21548 grad_norm: 3.9461 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0010 loss: 1.0010 2022/08/01 11:06:37 - mmengine - INFO - Epoch(train) [42][880/940] lr: 1.0000e-03 eta: 13:47:43 time: 0.8350 data_time: 0.1758 memory: 21548 grad_norm: 3.8762 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0014 loss: 1.0014 2022/08/01 11:06:55 - mmengine - INFO - Epoch(train) [42][900/940] lr: 1.0000e-03 eta: 13:47:24 time: 0.8534 data_time: 0.0733 memory: 21548 grad_norm: 3.8456 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.9847 loss: 0.9847 2022/08/01 11:07:11 - mmengine - INFO - Epoch(train) [42][920/940] lr: 1.0000e-03 eta: 13:47:02 time: 0.8034 data_time: 0.1065 memory: 21548 grad_norm: 3.8100 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0123 loss: 1.0123 2022/08/01 11:07:26 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 11:07:26 - mmengine - INFO - Epoch(train) [42][940/940] lr: 1.0000e-03 eta: 13:46:41 time: 0.7915 data_time: 0.0274 memory: 21548 grad_norm: 4.2174 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.0403 loss: 1.0403 2022/08/01 11:07:27 - mmengine - INFO - Saving checkpoint at 42 epochs 2022/08/01 11:07:49 - mmengine - INFO - Epoch(val) [42][20/78] eta: 0:01:00 time: 1.0364 data_time: 0.9117 memory: 3271 2022/08/01 11:08:03 - mmengine - INFO - Epoch(val) [42][40/78] eta: 0:00:26 time: 0.6878 data_time: 0.5632 memory: 3271 2022/08/01 11:08:22 - mmengine - INFO - Epoch(val) [42][60/78] eta: 0:00:17 time: 0.9721 data_time: 0.8454 memory: 3271 2022/08/01 11:08:36 - mmengine - INFO - Epoch(val) [42][78/78] acc/top1: 0.7107 acc/top5: 0.8986 acc/mean1: 0.7106 2022/08/01 11:08:36 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_42.pth is removed 2022/08/01 11:08:37 - mmengine - INFO - The best checkpoint with 0.7107 acc/top1 at 43 epoch is saved to best_acc/top1_epoch_43.pth. 2022/08/01 11:09:00 - mmengine - INFO - Epoch(train) [43][20/940] lr: 1.0000e-03 eta: 13:46:29 time: 1.1292 data_time: 0.4644 memory: 21548 grad_norm: 3.7891 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8441 loss: 0.8441 2022/08/01 11:09:15 - mmengine - INFO - Epoch(train) [43][40/940] lr: 1.0000e-03 eta: 13:46:07 time: 0.7741 data_time: 0.1489 memory: 21548 grad_norm: 3.9602 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0095 loss: 1.0095 2022/08/01 11:09:34 - mmengine - INFO - Epoch(train) [43][60/940] lr: 1.0000e-03 eta: 13:45:50 time: 0.9526 data_time: 0.2663 memory: 21548 grad_norm: 3.9731 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9836 loss: 0.9836 2022/08/01 11:09:51 - mmengine - INFO - Epoch(train) [43][80/940] lr: 1.0000e-03 eta: 13:45:29 time: 0.8190 data_time: 0.1259 memory: 21548 grad_norm: 3.9161 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9743 loss: 0.9743 2022/08/01 11:10:09 - mmengine - INFO - Epoch(train) [43][100/940] lr: 1.0000e-03 eta: 13:45:10 time: 0.8861 data_time: 0.0402 memory: 21548 grad_norm: 3.9339 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 1.0072 loss: 1.0072 2022/08/01 11:10:26 - mmengine - INFO - Epoch(train) [43][120/940] lr: 1.0000e-03 eta: 13:44:51 time: 0.8540 data_time: 0.0296 memory: 21548 grad_norm: 3.8253 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8951 loss: 0.8951 2022/08/01 11:10:43 - mmengine - INFO - Epoch(train) [43][140/940] lr: 1.0000e-03 eta: 13:44:32 time: 0.8869 data_time: 0.0599 memory: 21548 grad_norm: 3.8549 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0273 loss: 1.0273 2022/08/01 11:11:01 - mmengine - INFO - Epoch(train) [43][160/940] lr: 1.0000e-03 eta: 13:44:12 time: 0.8595 data_time: 0.0293 memory: 21548 grad_norm: 3.9840 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9101 loss: 0.9101 2022/08/01 11:11:17 - mmengine - INFO - Epoch(train) [43][180/940] lr: 1.0000e-03 eta: 13:43:52 time: 0.8294 data_time: 0.0615 memory: 21548 grad_norm: 3.8660 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0727 loss: 1.0727 2022/08/01 11:11:34 - mmengine - INFO - Epoch(train) [43][200/940] lr: 1.0000e-03 eta: 13:43:32 time: 0.8508 data_time: 0.0304 memory: 21548 grad_norm: 3.9093 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0038 loss: 1.0038 2022/08/01 11:11:51 - mmengine - INFO - Epoch(train) [43][220/940] lr: 1.0000e-03 eta: 13:43:12 time: 0.8578 data_time: 0.0437 memory: 21548 grad_norm: 3.9498 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9070 loss: 0.9070 2022/08/01 11:12:10 - mmengine - INFO - Epoch(train) [43][240/940] lr: 1.0000e-03 eta: 13:42:54 time: 0.9094 data_time: 0.0435 memory: 21548 grad_norm: 3.8411 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9110 loss: 0.9110 2022/08/01 11:12:26 - mmengine - INFO - Epoch(train) [43][260/940] lr: 1.0000e-03 eta: 13:42:33 time: 0.8150 data_time: 0.0393 memory: 21548 grad_norm: 3.9142 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9118 loss: 0.9118 2022/08/01 11:12:44 - mmengine - INFO - Epoch(train) [43][280/940] lr: 1.0000e-03 eta: 13:42:15 time: 0.8998 data_time: 0.0374 memory: 21548 grad_norm: 3.8711 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9521 loss: 0.9521 2022/08/01 11:12:59 - mmengine - INFO - Epoch(train) [43][300/940] lr: 1.0000e-03 eta: 13:41:53 time: 0.7781 data_time: 0.0366 memory: 21548 grad_norm: 3.9446 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8674 loss: 0.8674 2022/08/01 11:13:18 - mmengine - INFO - Epoch(train) [43][320/940] lr: 1.0000e-03 eta: 13:41:35 time: 0.9101 data_time: 0.0360 memory: 21548 grad_norm: 3.8779 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9688 loss: 0.9688 2022/08/01 11:13:34 - mmengine - INFO - Epoch(train) [43][340/940] lr: 1.0000e-03 eta: 13:41:14 time: 0.7940 data_time: 0.0357 memory: 21548 grad_norm: 3.9335 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8860 loss: 0.8860 2022/08/01 11:13:51 - mmengine - INFO - Epoch(train) [43][360/940] lr: 1.0000e-03 eta: 13:40:54 time: 0.8567 data_time: 0.0574 memory: 21548 grad_norm: 4.0095 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0724 loss: 1.0724 2022/08/01 11:14:08 - mmengine - INFO - Epoch(train) [43][380/940] lr: 1.0000e-03 eta: 13:40:34 time: 0.8545 data_time: 0.0408 memory: 21548 grad_norm: 3.8958 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8415 loss: 0.8415 2022/08/01 11:14:24 - mmengine - INFO - Epoch(train) [43][400/940] lr: 1.0000e-03 eta: 13:40:14 time: 0.8270 data_time: 0.0350 memory: 21548 grad_norm: 3.8210 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9089 loss: 0.9089 2022/08/01 11:14:43 - mmengine - INFO - Epoch(train) [43][420/940] lr: 1.0000e-03 eta: 13:39:56 time: 0.9153 data_time: 0.0454 memory: 21548 grad_norm: 3.9402 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9508 loss: 0.9508 2022/08/01 11:15:00 - mmengine - INFO - Epoch(train) [43][440/940] lr: 1.0000e-03 eta: 13:39:37 time: 0.8951 data_time: 0.0340 memory: 21548 grad_norm: 3.9176 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9323 loss: 0.9323 2022/08/01 11:15:17 - mmengine - INFO - Epoch(train) [43][460/940] lr: 1.0000e-03 eta: 13:39:17 time: 0.8261 data_time: 0.0430 memory: 21548 grad_norm: 3.9353 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8525 loss: 0.8525 2022/08/01 11:15:35 - mmengine - INFO - Epoch(train) [43][480/940] lr: 1.0000e-03 eta: 13:38:59 time: 0.9057 data_time: 0.0365 memory: 21548 grad_norm: 3.9105 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0177 loss: 1.0177 2022/08/01 11:15:51 - mmengine - INFO - Epoch(train) [43][500/940] lr: 1.0000e-03 eta: 13:38:37 time: 0.8010 data_time: 0.0488 memory: 21548 grad_norm: 3.9532 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9562 loss: 0.9562 2022/08/01 11:16:09 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 11:16:09 - mmengine - INFO - Epoch(train) [43][520/940] lr: 1.0000e-03 eta: 13:38:19 time: 0.9064 data_time: 0.0349 memory: 21548 grad_norm: 3.8521 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9209 loss: 0.9209 2022/08/01 11:16:25 - mmengine - INFO - Epoch(train) [43][540/940] lr: 1.0000e-03 eta: 13:37:58 time: 0.8039 data_time: 0.0421 memory: 21548 grad_norm: 3.8137 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9793 loss: 0.9793 2022/08/01 11:16:43 - mmengine - INFO - Epoch(train) [43][560/940] lr: 1.0000e-03 eta: 13:37:39 time: 0.8892 data_time: 0.0352 memory: 21548 grad_norm: 3.9193 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9306 loss: 0.9306 2022/08/01 11:17:00 - mmengine - INFO - Epoch(train) [43][580/940] lr: 1.0000e-03 eta: 13:37:19 time: 0.8212 data_time: 0.0409 memory: 21548 grad_norm: 4.0315 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0629 loss: 1.0629 2022/08/01 11:17:17 - mmengine - INFO - Epoch(train) [43][600/940] lr: 1.0000e-03 eta: 13:37:00 time: 0.8660 data_time: 0.0335 memory: 21548 grad_norm: 3.7578 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9589 loss: 0.9589 2022/08/01 11:17:34 - mmengine - INFO - Epoch(train) [43][620/940] lr: 1.0000e-03 eta: 13:36:40 time: 0.8439 data_time: 0.0403 memory: 21548 grad_norm: 3.8610 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8615 loss: 0.8615 2022/08/01 11:17:51 - mmengine - INFO - Epoch(train) [43][640/940] lr: 1.0000e-03 eta: 13:36:20 time: 0.8739 data_time: 0.0396 memory: 21548 grad_norm: 3.9054 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8965 loss: 0.8965 2022/08/01 11:18:09 - mmengine - INFO - Epoch(train) [43][660/940] lr: 1.0000e-03 eta: 13:36:01 time: 0.8711 data_time: 0.0362 memory: 21548 grad_norm: 4.0224 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8380 loss: 0.8380 2022/08/01 11:18:25 - mmengine - INFO - Epoch(train) [43][680/940] lr: 1.0000e-03 eta: 13:35:41 time: 0.8133 data_time: 0.0368 memory: 21548 grad_norm: 3.8992 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9166 loss: 0.9166 2022/08/01 11:18:43 - mmengine - INFO - Epoch(train) [43][700/940] lr: 1.0000e-03 eta: 13:35:22 time: 0.8907 data_time: 0.0383 memory: 21548 grad_norm: 3.9112 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8713 loss: 0.8713 2022/08/01 11:18:59 - mmengine - INFO - Epoch(train) [43][720/940] lr: 1.0000e-03 eta: 13:35:00 time: 0.7878 data_time: 0.0420 memory: 21548 grad_norm: 3.8970 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9676 loss: 0.9676 2022/08/01 11:19:17 - mmengine - INFO - Epoch(train) [43][740/940] lr: 1.0000e-03 eta: 13:34:43 time: 0.9326 data_time: 0.0341 memory: 21548 grad_norm: 3.7791 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8795 loss: 0.8795 2022/08/01 11:19:33 - mmengine - INFO - Epoch(train) [43][760/940] lr: 1.0000e-03 eta: 13:34:22 time: 0.7896 data_time: 0.0349 memory: 21548 grad_norm: 4.0033 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9376 loss: 0.9376 2022/08/01 11:19:52 - mmengine - INFO - Epoch(train) [43][780/940] lr: 1.0000e-03 eta: 13:34:04 time: 0.9270 data_time: 0.0332 memory: 21548 grad_norm: 3.9729 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0945 loss: 1.0945 2022/08/01 11:20:07 - mmengine - INFO - Epoch(train) [43][800/940] lr: 1.0000e-03 eta: 13:33:42 time: 0.7857 data_time: 0.0354 memory: 21548 grad_norm: 3.8683 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9859 loss: 0.9859 2022/08/01 11:20:25 - mmengine - INFO - Epoch(train) [43][820/940] lr: 1.0000e-03 eta: 13:33:24 time: 0.9071 data_time: 0.0389 memory: 21548 grad_norm: 3.8754 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8144 loss: 0.8144 2022/08/01 11:20:42 - mmengine - INFO - Epoch(train) [43][840/940] lr: 1.0000e-03 eta: 13:33:03 time: 0.8140 data_time: 0.0391 memory: 21548 grad_norm: 3.9360 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8743 loss: 0.8743 2022/08/01 11:20:59 - mmengine - INFO - Epoch(train) [43][860/940] lr: 1.0000e-03 eta: 13:32:44 time: 0.8713 data_time: 0.0412 memory: 21548 grad_norm: 3.8854 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0943 loss: 1.0943 2022/08/01 11:21:17 - mmengine - INFO - Epoch(train) [43][880/940] lr: 1.0000e-03 eta: 13:32:26 time: 0.8994 data_time: 0.0442 memory: 21548 grad_norm: 3.8874 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9729 loss: 0.9729 2022/08/01 11:21:33 - mmengine - INFO - Epoch(train) [43][900/940] lr: 1.0000e-03 eta: 13:32:05 time: 0.7950 data_time: 0.0440 memory: 21548 grad_norm: 3.9403 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9245 loss: 0.9245 2022/08/01 11:21:52 - mmengine - INFO - Epoch(train) [43][920/940] lr: 1.0000e-03 eta: 13:31:47 time: 0.9305 data_time: 0.0430 memory: 21548 grad_norm: 3.9238 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8580 loss: 0.8580 2022/08/01 11:22:05 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 11:22:05 - mmengine - INFO - Epoch(train) [43][940/940] lr: 1.0000e-03 eta: 13:31:22 time: 0.6560 data_time: 0.0290 memory: 21548 grad_norm: 4.2371 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.0635 loss: 1.0635 2022/08/01 11:22:26 - mmengine - INFO - Epoch(val) [43][20/78] eta: 0:01:01 time: 1.0616 data_time: 0.9347 memory: 3271 2022/08/01 11:22:40 - mmengine - INFO - Epoch(val) [43][40/78] eta: 0:00:26 time: 0.7027 data_time: 0.5790 memory: 3271 2022/08/01 11:22:59 - mmengine - INFO - Epoch(val) [43][60/78] eta: 0:00:16 time: 0.9394 data_time: 0.8143 memory: 3271 2022/08/01 11:23:13 - mmengine - INFO - Epoch(val) [43][78/78] acc/top1: 0.7117 acc/top5: 0.8982 acc/mean1: 0.7116 2022/08/01 11:23:13 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_43.pth is removed 2022/08/01 11:23:14 - mmengine - INFO - The best checkpoint with 0.7117 acc/top1 at 44 epoch is saved to best_acc/top1_epoch_44.pth. 2022/08/01 11:23:35 - mmengine - INFO - Epoch(train) [44][20/940] lr: 1.0000e-03 eta: 13:31:08 time: 1.0697 data_time: 0.6646 memory: 21548 grad_norm: 3.9102 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9751 loss: 0.9751 2022/08/01 11:23:51 - mmengine - INFO - Epoch(train) [44][40/940] lr: 1.0000e-03 eta: 13:30:47 time: 0.7778 data_time: 0.3250 memory: 21548 grad_norm: 3.8699 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9065 loss: 0.9065 2022/08/01 11:24:08 - mmengine - INFO - Epoch(train) [44][60/940] lr: 1.0000e-03 eta: 13:30:27 time: 0.8701 data_time: 0.4465 memory: 21548 grad_norm: 3.8812 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8828 loss: 0.8828 2022/08/01 11:24:24 - mmengine - INFO - Epoch(train) [44][80/940] lr: 1.0000e-03 eta: 13:30:06 time: 0.7777 data_time: 0.3595 memory: 21548 grad_norm: 3.9894 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0234 loss: 1.0234 2022/08/01 11:24:42 - mmengine - INFO - Epoch(train) [44][100/940] lr: 1.0000e-03 eta: 13:29:48 time: 0.9231 data_time: 0.4537 memory: 21548 grad_norm: 3.9414 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9443 loss: 0.9443 2022/08/01 11:24:59 - mmengine - INFO - Epoch(train) [44][120/940] lr: 1.0000e-03 eta: 13:29:28 time: 0.8498 data_time: 0.3561 memory: 21548 grad_norm: 3.8864 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 0.9820 loss: 0.9820 2022/08/01 11:25:17 - mmengine - INFO - Epoch(train) [44][140/940] lr: 1.0000e-03 eta: 13:29:09 time: 0.8633 data_time: 0.3561 memory: 21548 grad_norm: 3.8884 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8648 loss: 0.8648 2022/08/01 11:25:34 - mmengine - INFO - Epoch(train) [44][160/940] lr: 1.0000e-03 eta: 13:28:50 time: 0.8821 data_time: 0.4030 memory: 21548 grad_norm: 3.8588 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9138 loss: 0.9138 2022/08/01 11:25:51 - mmengine - INFO - Epoch(train) [44][180/940] lr: 1.0000e-03 eta: 13:28:29 time: 0.8169 data_time: 0.1957 memory: 21548 grad_norm: 3.9337 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0273 loss: 1.0273 2022/08/01 11:26:07 - mmengine - INFO - Epoch(train) [44][200/940] lr: 1.0000e-03 eta: 13:28:09 time: 0.8322 data_time: 0.2851 memory: 21548 grad_norm: 3.8946 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8951 loss: 0.8951 2022/08/01 11:26:25 - mmengine - INFO - Epoch(train) [44][220/940] lr: 1.0000e-03 eta: 13:27:50 time: 0.8809 data_time: 0.1212 memory: 21548 grad_norm: 3.9926 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9793 loss: 0.9793 2022/08/01 11:26:41 - mmengine - INFO - Epoch(train) [44][240/940] lr: 1.0000e-03 eta: 13:27:29 time: 0.7846 data_time: 0.0543 memory: 21548 grad_norm: 3.9899 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9103 loss: 0.9103 2022/08/01 11:26:59 - mmengine - INFO - Epoch(train) [44][260/940] lr: 1.0000e-03 eta: 13:27:11 time: 0.9040 data_time: 0.0373 memory: 21548 grad_norm: 3.9299 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9240 loss: 0.9240 2022/08/01 11:27:16 - mmengine - INFO - Epoch(train) [44][280/940] lr: 1.0000e-03 eta: 13:26:52 time: 0.8688 data_time: 0.2664 memory: 21548 grad_norm: 3.9302 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9065 loss: 0.9065 2022/08/01 11:27:34 - mmengine - INFO - Epoch(train) [44][300/940] lr: 1.0000e-03 eta: 13:26:32 time: 0.8730 data_time: 0.2474 memory: 21548 grad_norm: 3.9791 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.9604 loss: 0.9604 2022/08/01 11:27:52 - mmengine - INFO - Epoch(train) [44][320/940] lr: 1.0000e-03 eta: 13:26:15 time: 0.9225 data_time: 0.3878 memory: 21548 grad_norm: 3.9188 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9995 loss: 0.9995 2022/08/01 11:28:07 - mmengine - INFO - Epoch(train) [44][340/940] lr: 1.0000e-03 eta: 13:25:53 time: 0.7677 data_time: 0.2308 memory: 21548 grad_norm: 3.9842 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0050 loss: 1.0050 2022/08/01 11:28:26 - mmengine - INFO - Epoch(train) [44][360/940] lr: 1.0000e-03 eta: 13:25:36 time: 0.9575 data_time: 0.4226 memory: 21548 grad_norm: 4.0257 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9294 loss: 0.9294 2022/08/01 11:28:44 - mmengine - INFO - Epoch(train) [44][380/940] lr: 1.0000e-03 eta: 13:25:17 time: 0.8730 data_time: 0.1587 memory: 21548 grad_norm: 4.0213 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9264 loss: 0.9264 2022/08/01 11:29:00 - mmengine - INFO - Epoch(train) [44][400/940] lr: 1.0000e-03 eta: 13:24:56 time: 0.8145 data_time: 0.2311 memory: 21548 grad_norm: 3.9773 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8877 loss: 0.8877 2022/08/01 11:29:19 - mmengine - INFO - Epoch(train) [44][420/940] lr: 1.0000e-03 eta: 13:24:38 time: 0.9181 data_time: 0.0746 memory: 21548 grad_norm: 3.9604 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8742 loss: 0.8742 2022/08/01 11:29:35 - mmengine - INFO - Epoch(train) [44][440/940] lr: 1.0000e-03 eta: 13:24:18 time: 0.8065 data_time: 0.0405 memory: 21548 grad_norm: 3.9589 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8521 loss: 0.8521 2022/08/01 11:29:53 - mmengine - INFO - Epoch(train) [44][460/940] lr: 1.0000e-03 eta: 13:24:00 time: 0.9185 data_time: 0.0386 memory: 21548 grad_norm: 3.8943 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9215 loss: 0.9215 2022/08/01 11:30:10 - mmengine - INFO - Epoch(train) [44][480/940] lr: 1.0000e-03 eta: 13:23:40 time: 0.8387 data_time: 0.0571 memory: 21548 grad_norm: 3.8861 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9706 loss: 0.9706 2022/08/01 11:30:27 - mmengine - INFO - Epoch(train) [44][500/940] lr: 1.0000e-03 eta: 13:23:21 time: 0.8771 data_time: 0.0339 memory: 21548 grad_norm: 3.9467 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9634 loss: 0.9634 2022/08/01 11:30:44 - mmengine - INFO - Epoch(train) [44][520/940] lr: 1.0000e-03 eta: 13:23:00 time: 0.8108 data_time: 0.0422 memory: 21548 grad_norm: 3.9493 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8538 loss: 0.8538 2022/08/01 11:31:02 - mmengine - INFO - Epoch(train) [44][540/940] lr: 1.0000e-03 eta: 13:22:42 time: 0.9103 data_time: 0.0400 memory: 21548 grad_norm: 3.9336 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0091 loss: 1.0091 2022/08/01 11:31:17 - mmengine - INFO - Epoch(train) [44][560/940] lr: 1.0000e-03 eta: 13:22:19 time: 0.7424 data_time: 0.0385 memory: 21548 grad_norm: 4.0648 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9650 loss: 0.9650 2022/08/01 11:31:35 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 11:31:35 - mmengine - INFO - Epoch(train) [44][580/940] lr: 1.0000e-03 eta: 13:22:02 time: 0.9210 data_time: 0.0393 memory: 21548 grad_norm: 4.0229 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.0214 loss: 1.0214 2022/08/01 11:31:52 - mmengine - INFO - Epoch(train) [44][600/940] lr: 1.0000e-03 eta: 13:21:41 time: 0.8299 data_time: 0.0385 memory: 21548 grad_norm: 3.9744 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9125 loss: 0.9125 2022/08/01 11:32:07 - mmengine - INFO - Epoch(train) [44][620/940] lr: 1.0000e-03 eta: 13:21:20 time: 0.7808 data_time: 0.0408 memory: 21548 grad_norm: 3.9119 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9753 loss: 0.9753 2022/08/01 11:32:25 - mmengine - INFO - Epoch(train) [44][640/940] lr: 1.0000e-03 eta: 13:21:01 time: 0.8714 data_time: 0.0514 memory: 21548 grad_norm: 3.9115 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8853 loss: 0.8853 2022/08/01 11:32:41 - mmengine - INFO - Epoch(train) [44][660/940] lr: 1.0000e-03 eta: 13:20:41 time: 0.8203 data_time: 0.0450 memory: 21548 grad_norm: 3.9634 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9269 loss: 0.9269 2022/08/01 11:33:00 - mmengine - INFO - Epoch(train) [44][680/940] lr: 1.0000e-03 eta: 13:20:24 time: 0.9525 data_time: 0.0528 memory: 21548 grad_norm: 3.8586 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0252 loss: 1.0252 2022/08/01 11:33:17 - mmengine - INFO - Epoch(train) [44][700/940] lr: 1.0000e-03 eta: 13:20:03 time: 0.8254 data_time: 0.1430 memory: 21548 grad_norm: 3.9875 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9222 loss: 0.9222 2022/08/01 11:33:33 - mmengine - INFO - Epoch(train) [44][720/940] lr: 1.0000e-03 eta: 13:19:43 time: 0.8233 data_time: 0.2176 memory: 21548 grad_norm: 3.9416 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9542 loss: 0.9542 2022/08/01 11:33:51 - mmengine - INFO - Epoch(train) [44][740/940] lr: 1.0000e-03 eta: 13:19:24 time: 0.8735 data_time: 0.2859 memory: 21548 grad_norm: 3.9684 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8933 loss: 0.8933 2022/08/01 11:34:08 - mmengine - INFO - Epoch(train) [44][760/940] lr: 1.0000e-03 eta: 13:19:04 time: 0.8473 data_time: 0.2757 memory: 21548 grad_norm: 3.9508 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9445 loss: 0.9445 2022/08/01 11:34:25 - mmengine - INFO - Epoch(train) [44][780/940] lr: 1.0000e-03 eta: 13:18:44 time: 0.8436 data_time: 0.2757 memory: 21548 grad_norm: 3.9480 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8713 loss: 0.8713 2022/08/01 11:34:43 - mmengine - INFO - Epoch(train) [44][800/940] lr: 1.0000e-03 eta: 13:18:26 time: 0.9133 data_time: 0.0355 memory: 21548 grad_norm: 3.9178 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9430 loss: 0.9430 2022/08/01 11:34:58 - mmengine - INFO - Epoch(train) [44][820/940] lr: 1.0000e-03 eta: 13:18:05 time: 0.7698 data_time: 0.0380 memory: 21548 grad_norm: 3.9756 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8436 loss: 0.8436 2022/08/01 11:35:18 - mmengine - INFO - Epoch(train) [44][840/940] lr: 1.0000e-03 eta: 13:17:48 time: 0.9627 data_time: 0.0338 memory: 21548 grad_norm: 3.9967 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9164 loss: 0.9164 2022/08/01 11:35:32 - mmengine - INFO - Epoch(train) [44][860/940] lr: 1.0000e-03 eta: 13:17:25 time: 0.7315 data_time: 0.0454 memory: 21548 grad_norm: 3.9398 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0124 loss: 1.0124 2022/08/01 11:36:01 - mmengine - INFO - Epoch(train) [44][880/940] lr: 1.0000e-03 eta: 13:17:21 time: 1.4406 data_time: 0.1175 memory: 21548 grad_norm: 3.9393 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8676 loss: 0.8676 2022/08/01 11:36:30 - mmengine - INFO - Epoch(train) [44][900/940] lr: 1.0000e-03 eta: 13:17:17 time: 1.4572 data_time: 0.0280 memory: 21548 grad_norm: 3.8987 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0986 loss: 1.0986 2022/08/01 11:36:47 - mmengine - INFO - Epoch(train) [44][920/940] lr: 1.0000e-03 eta: 13:16:56 time: 0.8230 data_time: 0.0349 memory: 21548 grad_norm: 3.8867 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9416 loss: 0.9416 2022/08/01 11:37:00 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 11:37:00 - mmengine - INFO - Epoch(train) [44][940/940] lr: 1.0000e-03 eta: 13:16:32 time: 0.6736 data_time: 0.0248 memory: 21548 grad_norm: 4.2640 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.9040 loss: 0.9040 2022/08/01 11:37:20 - mmengine - INFO - Epoch(val) [44][20/78] eta: 0:00:58 time: 1.0112 data_time: 0.8857 memory: 3271 2022/08/01 11:37:34 - mmengine - INFO - Epoch(val) [44][40/78] eta: 0:00:26 time: 0.7014 data_time: 0.5748 memory: 3271 2022/08/01 11:37:55 - mmengine - INFO - Epoch(val) [44][60/78] eta: 0:00:18 time: 1.0093 data_time: 0.8844 memory: 3271 2022/08/01 11:38:08 - mmengine - INFO - Epoch(val) [44][78/78] acc/top1: 0.7123 acc/top5: 0.8981 acc/mean1: 0.7122 2022/08/01 11:38:08 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_44.pth is removed 2022/08/01 11:38:09 - mmengine - INFO - The best checkpoint with 0.7123 acc/top1 at 45 epoch is saved to best_acc/top1_epoch_45.pth. 2022/08/01 11:38:31 - mmengine - INFO - Epoch(train) [45][20/940] lr: 1.0000e-03 eta: 13:16:18 time: 1.0744 data_time: 0.6853 memory: 21548 grad_norm: 3.8805 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9043 loss: 0.9043 2022/08/01 11:38:46 - mmengine - INFO - Epoch(train) [45][40/940] lr: 1.0000e-03 eta: 13:15:56 time: 0.7542 data_time: 0.3563 memory: 21548 grad_norm: 3.8491 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8881 loss: 0.8881 2022/08/01 11:39:04 - mmengine - INFO - Epoch(train) [45][60/940] lr: 1.0000e-03 eta: 13:15:38 time: 0.9194 data_time: 0.4910 memory: 21548 grad_norm: 3.8913 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9608 loss: 0.9608 2022/08/01 11:39:20 - mmengine - INFO - Epoch(train) [45][80/940] lr: 1.0000e-03 eta: 13:15:18 time: 0.8067 data_time: 0.4136 memory: 21548 grad_norm: 3.8705 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8476 loss: 0.8476 2022/08/01 11:39:40 - mmengine - INFO - Epoch(train) [45][100/940] lr: 1.0000e-03 eta: 13:15:01 time: 0.9623 data_time: 0.5372 memory: 21548 grad_norm: 3.8651 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9934 loss: 0.9934 2022/08/01 11:39:55 - mmengine - INFO - Epoch(train) [45][120/940] lr: 1.0000e-03 eta: 13:14:39 time: 0.7480 data_time: 0.3544 memory: 21548 grad_norm: 3.8480 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9329 loss: 0.9329 2022/08/01 11:40:13 - mmengine - INFO - Epoch(train) [45][140/940] lr: 1.0000e-03 eta: 13:14:21 time: 0.9415 data_time: 0.5405 memory: 21548 grad_norm: 3.8363 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0111 loss: 1.0111 2022/08/01 11:40:29 - mmengine - INFO - Epoch(train) [45][160/940] lr: 1.0000e-03 eta: 13:14:00 time: 0.7792 data_time: 0.3788 memory: 21548 grad_norm: 3.9321 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9159 loss: 0.9159 2022/08/01 11:40:48 - mmengine - INFO - Epoch(train) [45][180/940] lr: 1.0000e-03 eta: 13:13:43 time: 0.9710 data_time: 0.3991 memory: 21548 grad_norm: 3.9012 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0136 loss: 1.0136 2022/08/01 11:41:04 - mmengine - INFO - Epoch(train) [45][200/940] lr: 1.0000e-03 eta: 13:13:21 time: 0.7634 data_time: 0.1848 memory: 21548 grad_norm: 3.9169 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9573 loss: 0.9573 2022/08/01 11:41:23 - mmengine - INFO - Epoch(train) [45][220/940] lr: 1.0000e-03 eta: 13:13:05 time: 0.9864 data_time: 0.2521 memory: 21548 grad_norm: 3.9951 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9083 loss: 0.9083 2022/08/01 11:41:43 - mmengine - INFO - Epoch(train) [45][240/940] lr: 1.0000e-03 eta: 13:12:49 time: 0.9924 data_time: 0.1874 memory: 21548 grad_norm: 3.9890 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9379 loss: 0.9379 2022/08/01 11:42:01 - mmengine - INFO - Epoch(train) [45][260/940] lr: 1.0000e-03 eta: 13:12:30 time: 0.8801 data_time: 0.0350 memory: 21548 grad_norm: 3.9925 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9607 loss: 0.9607 2022/08/01 11:42:18 - mmengine - INFO - Epoch(train) [45][280/940] lr: 1.0000e-03 eta: 13:12:10 time: 0.8310 data_time: 0.0327 memory: 21548 grad_norm: 3.9584 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9195 loss: 0.9195 2022/08/01 11:42:34 - mmengine - INFO - Epoch(train) [45][300/940] lr: 1.0000e-03 eta: 13:11:50 time: 0.8143 data_time: 0.0384 memory: 21548 grad_norm: 4.1098 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8984 loss: 0.8984 2022/08/01 11:42:52 - mmengine - INFO - Epoch(train) [45][320/940] lr: 1.0000e-03 eta: 13:11:32 time: 0.9072 data_time: 0.0376 memory: 21548 grad_norm: 3.9220 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8962 loss: 0.8962 2022/08/01 11:43:08 - mmengine - INFO - Epoch(train) [45][340/940] lr: 1.0000e-03 eta: 13:11:10 time: 0.7796 data_time: 0.0392 memory: 21548 grad_norm: 3.9766 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9253 loss: 0.9253 2022/08/01 11:43:25 - mmengine - INFO - Epoch(train) [45][360/940] lr: 1.0000e-03 eta: 13:10:52 time: 0.8895 data_time: 0.0327 memory: 21548 grad_norm: 3.9151 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0344 loss: 1.0344 2022/08/01 11:43:41 - mmengine - INFO - Epoch(train) [45][380/940] lr: 1.0000e-03 eta: 13:10:31 time: 0.8004 data_time: 0.0399 memory: 21548 grad_norm: 3.9130 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9419 loss: 0.9419 2022/08/01 11:44:00 - mmengine - INFO - Epoch(train) [45][400/940] lr: 1.0000e-03 eta: 13:10:13 time: 0.9330 data_time: 0.0461 memory: 21548 grad_norm: 3.9160 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8150 loss: 0.8150 2022/08/01 11:44:16 - mmengine - INFO - Epoch(train) [45][420/940] lr: 1.0000e-03 eta: 13:09:53 time: 0.8096 data_time: 0.0398 memory: 21548 grad_norm: 3.9499 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8636 loss: 0.8636 2022/08/01 11:44:35 - mmengine - INFO - Epoch(train) [45][440/940] lr: 1.0000e-03 eta: 13:09:35 time: 0.9164 data_time: 0.0566 memory: 21548 grad_norm: 3.9783 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9470 loss: 0.9470 2022/08/01 11:44:50 - mmengine - INFO - Epoch(train) [45][460/940] lr: 1.0000e-03 eta: 13:09:13 time: 0.7553 data_time: 0.0363 memory: 21548 grad_norm: 3.9567 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9209 loss: 0.9209 2022/08/01 11:45:07 - mmengine - INFO - Epoch(train) [45][480/940] lr: 1.0000e-03 eta: 13:08:54 time: 0.8798 data_time: 0.0505 memory: 21548 grad_norm: 4.0152 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9922 loss: 0.9922 2022/08/01 11:45:22 - mmengine - INFO - Epoch(train) [45][500/940] lr: 1.0000e-03 eta: 13:08:32 time: 0.7596 data_time: 0.1266 memory: 21548 grad_norm: 3.8831 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8964 loss: 0.8964 2022/08/01 11:45:45 - mmengine - INFO - Epoch(train) [45][520/940] lr: 1.0000e-03 eta: 13:08:19 time: 1.1010 data_time: 0.1756 memory: 21548 grad_norm: 3.9163 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8963 loss: 0.8963 2022/08/01 11:46:01 - mmengine - INFO - Epoch(train) [45][540/940] lr: 1.0000e-03 eta: 13:07:58 time: 0.7994 data_time: 0.1126 memory: 21548 grad_norm: 4.0606 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0362 loss: 1.0362 2022/08/01 11:46:19 - mmengine - INFO - Epoch(train) [45][560/940] lr: 1.0000e-03 eta: 13:07:41 time: 0.9496 data_time: 0.0416 memory: 21548 grad_norm: 3.9703 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9011 loss: 0.9011 2022/08/01 11:46:35 - mmengine - INFO - Epoch(train) [45][580/940] lr: 1.0000e-03 eta: 13:07:20 time: 0.7855 data_time: 0.0334 memory: 21548 grad_norm: 3.7936 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9485 loss: 0.9485 2022/08/01 11:46:55 - mmengine - INFO - Epoch(train) [45][600/940] lr: 1.0000e-03 eta: 13:07:03 time: 0.9739 data_time: 0.0400 memory: 21548 grad_norm: 3.9811 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8024 loss: 0.8024 2022/08/01 11:47:09 - mmengine - INFO - Epoch(train) [45][620/940] lr: 1.0000e-03 eta: 13:06:41 time: 0.7240 data_time: 0.0351 memory: 21548 grad_norm: 3.9913 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9418 loss: 0.9418 2022/08/01 11:47:28 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 11:47:28 - mmengine - INFO - Epoch(train) [45][640/940] lr: 1.0000e-03 eta: 13:06:24 time: 0.9574 data_time: 0.0330 memory: 21548 grad_norm: 3.9290 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8868 loss: 0.8868 2022/08/01 11:47:44 - mmengine - INFO - Epoch(train) [45][660/940] lr: 1.0000e-03 eta: 13:06:03 time: 0.8018 data_time: 0.0454 memory: 21548 grad_norm: 3.9730 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8257 loss: 0.8257 2022/08/01 11:48:03 - mmengine - INFO - Epoch(train) [45][680/940] lr: 1.0000e-03 eta: 13:05:45 time: 0.9244 data_time: 0.0334 memory: 21548 grad_norm: 4.1191 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8668 loss: 0.8668 2022/08/01 11:48:19 - mmengine - INFO - Epoch(train) [45][700/940] lr: 1.0000e-03 eta: 13:05:25 time: 0.8183 data_time: 0.0354 memory: 21548 grad_norm: 3.9191 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.9527 loss: 0.9527 2022/08/01 11:48:38 - mmengine - INFO - Epoch(train) [45][720/940] lr: 1.0000e-03 eta: 13:05:08 time: 0.9416 data_time: 0.0309 memory: 21548 grad_norm: 4.0346 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8911 loss: 0.8911 2022/08/01 11:48:53 - mmengine - INFO - Epoch(train) [45][740/940] lr: 1.0000e-03 eta: 13:04:45 time: 0.7301 data_time: 0.0447 memory: 21548 grad_norm: 3.9489 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9341 loss: 0.9341 2022/08/01 11:49:12 - mmengine - INFO - Epoch(train) [45][760/940] lr: 1.0000e-03 eta: 13:04:29 time: 0.9779 data_time: 0.0411 memory: 21548 grad_norm: 3.9385 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.9142 loss: 0.9142 2022/08/01 11:49:28 - mmengine - INFO - Epoch(train) [45][780/940] lr: 1.0000e-03 eta: 13:04:08 time: 0.7985 data_time: 0.0382 memory: 21548 grad_norm: 4.0582 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9055 loss: 0.9055 2022/08/01 11:49:47 - mmengine - INFO - Epoch(train) [45][800/940] lr: 1.0000e-03 eta: 13:03:51 time: 0.9613 data_time: 0.0446 memory: 21548 grad_norm: 3.9817 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9233 loss: 0.9233 2022/08/01 11:50:03 - mmengine - INFO - Epoch(train) [45][820/940] lr: 1.0000e-03 eta: 13:03:30 time: 0.7732 data_time: 0.0380 memory: 21548 grad_norm: 4.0389 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9116 loss: 0.9116 2022/08/01 11:50:22 - mmengine - INFO - Epoch(train) [45][840/940] lr: 1.0000e-03 eta: 13:03:13 time: 0.9579 data_time: 0.0373 memory: 21548 grad_norm: 3.9756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9349 loss: 0.9349 2022/08/01 11:50:38 - mmengine - INFO - Epoch(train) [45][860/940] lr: 1.0000e-03 eta: 13:02:52 time: 0.7886 data_time: 0.0330 memory: 21548 grad_norm: 4.0331 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9505 loss: 0.9505 2022/08/01 11:50:58 - mmengine - INFO - Epoch(train) [45][880/940] lr: 1.0000e-03 eta: 13:02:35 time: 0.9859 data_time: 0.0360 memory: 21548 grad_norm: 3.9452 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0272 loss: 1.0272 2022/08/01 11:51:12 - mmengine - INFO - Epoch(train) [45][900/940] lr: 1.0000e-03 eta: 13:02:13 time: 0.7204 data_time: 0.0336 memory: 21548 grad_norm: 4.0160 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.9155 loss: 0.9155 2022/08/01 11:51:31 - mmengine - INFO - Epoch(train) [45][920/940] lr: 1.0000e-03 eta: 13:01:55 time: 0.9297 data_time: 0.0374 memory: 21548 grad_norm: 3.9065 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9632 loss: 0.9632 2022/08/01 11:52:11 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 11:52:11 - mmengine - INFO - Epoch(train) [45][940/940] lr: 1.0000e-03 eta: 13:02:05 time: 2.0434 data_time: 0.0294 memory: 21548 grad_norm: 4.3217 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.0392 loss: 1.0392 2022/08/01 11:52:12 - mmengine - INFO - Saving checkpoint at 45 epochs 2022/08/01 11:52:33 - mmengine - INFO - Epoch(val) [45][20/78] eta: 0:00:58 time: 1.0057 data_time: 0.8824 memory: 3271 2022/08/01 11:52:49 - mmengine - INFO - Epoch(val) [45][40/78] eta: 0:00:30 time: 0.7916 data_time: 0.6677 memory: 3271 2022/08/01 11:53:08 - mmengine - INFO - Epoch(val) [45][60/78] eta: 0:00:16 time: 0.9432 data_time: 0.8188 memory: 3271 2022/08/01 11:53:21 - mmengine - INFO - Epoch(val) [45][78/78] acc/top1: 0.7097 acc/top5: 0.8972 acc/mean1: 0.7096 2022/08/01 11:53:44 - mmengine - INFO - Epoch(train) [46][20/940] lr: 1.0000e-03 eta: 13:01:52 time: 1.1290 data_time: 0.6257 memory: 21548 grad_norm: 3.9894 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9622 loss: 0.9622 2022/08/01 11:54:00 - mmengine - INFO - Epoch(train) [46][40/940] lr: 1.0000e-03 eta: 13:01:31 time: 0.8071 data_time: 0.1470 memory: 21548 grad_norm: 3.9336 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8726 loss: 0.8726 2022/08/01 11:54:21 - mmengine - INFO - Epoch(train) [46][60/940] lr: 1.0000e-03 eta: 13:01:17 time: 1.0550 data_time: 0.0532 memory: 21548 grad_norm: 4.0019 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9266 loss: 0.9266 2022/08/01 11:54:36 - mmengine - INFO - Epoch(train) [46][80/940] lr: 1.0000e-03 eta: 13:00:55 time: 0.7632 data_time: 0.0319 memory: 21548 grad_norm: 3.9591 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.9682 loss: 0.9682 2022/08/01 11:54:54 - mmengine - INFO - Epoch(train) [46][100/940] lr: 1.0000e-03 eta: 13:00:36 time: 0.8810 data_time: 0.0380 memory: 21548 grad_norm: 4.0638 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9720 loss: 0.9720 2022/08/01 11:55:10 - mmengine - INFO - Epoch(train) [46][120/940] lr: 1.0000e-03 eta: 13:00:16 time: 0.8061 data_time: 0.0383 memory: 21548 grad_norm: 3.9398 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8352 loss: 0.8352 2022/08/01 11:55:28 - mmengine - INFO - Epoch(train) [46][140/940] lr: 1.0000e-03 eta: 12:59:58 time: 0.9350 data_time: 0.0409 memory: 21548 grad_norm: 4.0122 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8957 loss: 0.8957 2022/08/01 11:55:42 - mmengine - INFO - Epoch(train) [46][160/940] lr: 1.0000e-03 eta: 12:59:35 time: 0.6990 data_time: 0.0343 memory: 21548 grad_norm: 3.9306 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.8869 loss: 0.8869 2022/08/01 11:56:03 - mmengine - INFO - Epoch(train) [46][180/940] lr: 1.0000e-03 eta: 12:59:19 time: 1.0158 data_time: 0.0393 memory: 21548 grad_norm: 3.9405 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.8704 loss: 0.8704 2022/08/01 11:56:18 - mmengine - INFO - Epoch(train) [46][200/940] lr: 1.0000e-03 eta: 12:58:57 time: 0.7514 data_time: 0.0320 memory: 21548 grad_norm: 3.9856 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8550 loss: 0.8550 2022/08/01 11:56:37 - mmengine - INFO - Epoch(train) [46][220/940] lr: 1.0000e-03 eta: 12:58:40 time: 0.9339 data_time: 0.0320 memory: 21548 grad_norm: 4.0513 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0206 loss: 1.0206 2022/08/01 11:56:52 - mmengine - INFO - Epoch(train) [46][240/940] lr: 1.0000e-03 eta: 12:58:18 time: 0.7697 data_time: 0.0340 memory: 21548 grad_norm: 3.9882 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9325 loss: 0.9325 2022/08/01 11:57:10 - mmengine - INFO - Epoch(train) [46][260/940] lr: 1.0000e-03 eta: 12:58:00 time: 0.9032 data_time: 0.0811 memory: 21548 grad_norm: 4.0339 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8683 loss: 0.8683 2022/08/01 11:57:26 - mmengine - INFO - Epoch(train) [46][280/940] lr: 1.0000e-03 eta: 12:57:40 time: 0.8013 data_time: 0.0642 memory: 21548 grad_norm: 3.9934 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8418 loss: 0.8418 2022/08/01 11:57:44 - mmengine - INFO - Epoch(train) [46][300/940] lr: 1.0000e-03 eta: 12:57:21 time: 0.8872 data_time: 0.0368 memory: 21548 grad_norm: 4.0072 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9313 loss: 0.9313 2022/08/01 11:58:02 - mmengine - INFO - Epoch(train) [46][320/940] lr: 1.0000e-03 eta: 12:57:02 time: 0.8861 data_time: 0.0329 memory: 21548 grad_norm: 3.8987 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8773 loss: 0.8773 2022/08/01 11:58:18 - mmengine - INFO - Epoch(train) [46][340/940] lr: 1.0000e-03 eta: 12:56:42 time: 0.8311 data_time: 0.0474 memory: 21548 grad_norm: 3.9686 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8859 loss: 0.8859 2022/08/01 11:58:36 - mmengine - INFO - Epoch(train) [46][360/940] lr: 1.0000e-03 eta: 12:56:24 time: 0.9120 data_time: 0.0371 memory: 21548 grad_norm: 3.9773 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.8509 loss: 0.8509 2022/08/01 11:58:53 - mmengine - INFO - Epoch(train) [46][380/940] lr: 1.0000e-03 eta: 12:56:04 time: 0.8224 data_time: 0.0365 memory: 21548 grad_norm: 3.9880 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8822 loss: 0.8822 2022/08/01 11:59:10 - mmengine - INFO - Epoch(train) [46][400/940] lr: 1.0000e-03 eta: 12:55:45 time: 0.8530 data_time: 0.0364 memory: 21548 grad_norm: 3.9992 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8608 loss: 0.8608 2022/08/01 11:59:27 - mmengine - INFO - Epoch(train) [46][420/940] lr: 1.0000e-03 eta: 12:55:26 time: 0.8758 data_time: 0.0436 memory: 21548 grad_norm: 4.0651 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9261 loss: 0.9261 2022/08/01 11:59:45 - mmengine - INFO - Epoch(train) [46][440/940] lr: 1.0000e-03 eta: 12:55:07 time: 0.8703 data_time: 0.0511 memory: 21548 grad_norm: 4.0244 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9061 loss: 0.9061 2022/08/01 12:00:06 - mmengine - INFO - Epoch(train) [46][460/940] lr: 1.0000e-03 eta: 12:54:52 time: 1.0675 data_time: 0.0425 memory: 21548 grad_norm: 3.9966 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9023 loss: 0.9023 2022/08/01 12:00:20 - mmengine - INFO - Epoch(train) [46][480/940] lr: 1.0000e-03 eta: 12:54:29 time: 0.7040 data_time: 0.0364 memory: 21548 grad_norm: 4.0944 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0005 loss: 1.0005 2022/08/01 12:00:38 - mmengine - INFO - Epoch(train) [46][500/940] lr: 1.0000e-03 eta: 12:54:10 time: 0.8746 data_time: 0.0326 memory: 21548 grad_norm: 3.9143 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.9253 loss: 0.9253 2022/08/01 12:00:54 - mmengine - INFO - Epoch(train) [46][520/940] lr: 1.0000e-03 eta: 12:53:50 time: 0.8069 data_time: 0.0425 memory: 21548 grad_norm: 4.0732 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8863 loss: 0.8863 2022/08/01 12:01:12 - mmengine - INFO - Epoch(train) [46][540/940] lr: 1.0000e-03 eta: 12:53:31 time: 0.8962 data_time: 0.0314 memory: 21548 grad_norm: 4.0002 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.8797 loss: 0.8797 2022/08/01 12:01:29 - mmengine - INFO - Epoch(train) [46][560/940] lr: 1.0000e-03 eta: 12:53:13 time: 0.8768 data_time: 0.0354 memory: 21548 grad_norm: 3.9895 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8965 loss: 0.8965 2022/08/01 12:01:48 - mmengine - INFO - Epoch(train) [46][580/940] lr: 1.0000e-03 eta: 12:52:55 time: 0.9158 data_time: 0.0339 memory: 21548 grad_norm: 3.9408 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.8156 loss: 0.8156 2022/08/01 12:02:03 - mmengine - INFO - Epoch(train) [46][600/940] lr: 1.0000e-03 eta: 12:52:34 time: 0.7889 data_time: 0.0373 memory: 21548 grad_norm: 4.0280 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 0.7816 loss: 0.7816 2022/08/01 12:02:22 - mmengine - INFO - Epoch(train) [46][620/940] lr: 1.0000e-03 eta: 12:52:16 time: 0.9278 data_time: 0.0378 memory: 21548 grad_norm: 3.8407 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8513 loss: 0.8513 2022/08/01 12:02:39 - mmengine - INFO - Epoch(train) [46][640/940] lr: 1.0000e-03 eta: 12:51:56 time: 0.8253 data_time: 0.0475 memory: 21548 grad_norm: 3.9599 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8801 loss: 0.8801 2022/08/01 12:02:57 - mmengine - INFO - Epoch(train) [46][660/940] lr: 1.0000e-03 eta: 12:51:38 time: 0.9314 data_time: 0.0370 memory: 21548 grad_norm: 4.0383 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 0.9201 loss: 0.9201 2022/08/01 12:03:13 - mmengine - INFO - Epoch(train) [46][680/940] lr: 1.0000e-03 eta: 12:51:17 time: 0.7848 data_time: 0.0381 memory: 21548 grad_norm: 4.0079 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.9159 loss: 0.9159 2022/08/01 12:03:30 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 12:03:30 - mmengine - INFO - Epoch(train) [46][700/940] lr: 1.0000e-03 eta: 12:50:58 time: 0.8644 data_time: 0.0398 memory: 21548 grad_norm: 3.9294 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8921 loss: 0.8921 2022/08/01 12:03:47 - mmengine - INFO - Epoch(train) [46][720/940] lr: 1.0000e-03 eta: 12:50:39 time: 0.8458 data_time: 0.0594 memory: 21548 grad_norm: 3.9771 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8185 loss: 0.8185 2022/08/01 12:04:06 - mmengine - INFO - Epoch(train) [46][740/940] lr: 1.0000e-03 eta: 12:50:22 time: 0.9564 data_time: 0.0321 memory: 21548 grad_norm: 3.9493 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9970 loss: 0.9970 2022/08/01 12:04:21 - mmengine - INFO - Epoch(train) [46][760/940] lr: 1.0000e-03 eta: 12:50:00 time: 0.7649 data_time: 0.0417 memory: 21548 grad_norm: 4.0671 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9682 loss: 0.9682 2022/08/01 12:04:41 - mmengine - INFO - Epoch(train) [46][780/940] lr: 1.0000e-03 eta: 12:49:43 time: 0.9618 data_time: 0.0343 memory: 21548 grad_norm: 3.9505 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8614 loss: 0.8614 2022/08/01 12:04:56 - mmengine - INFO - Epoch(train) [46][800/940] lr: 1.0000e-03 eta: 12:49:22 time: 0.7552 data_time: 0.0391 memory: 21548 grad_norm: 3.9636 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.9355 loss: 0.9355 2022/08/01 12:05:15 - mmengine - INFO - Epoch(train) [46][820/940] lr: 1.0000e-03 eta: 12:49:04 time: 0.9363 data_time: 0.0344 memory: 21548 grad_norm: 3.9733 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8095 loss: 0.8095 2022/08/01 12:05:30 - mmengine - INFO - Epoch(train) [46][840/940] lr: 1.0000e-03 eta: 12:48:43 time: 0.7943 data_time: 0.0399 memory: 21548 grad_norm: 4.1088 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8817 loss: 0.8817 2022/08/01 12:05:49 - mmengine - INFO - Epoch(train) [46][860/940] lr: 1.0000e-03 eta: 12:48:26 time: 0.9354 data_time: 0.0333 memory: 21548 grad_norm: 4.0309 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9018 loss: 0.9018 2022/08/01 12:06:04 - mmengine - INFO - Epoch(train) [46][880/940] lr: 1.0000e-03 eta: 12:48:04 time: 0.7465 data_time: 0.0415 memory: 21548 grad_norm: 3.9429 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9349 loss: 0.9349 2022/08/01 12:06:23 - mmengine - INFO - Epoch(train) [46][900/940] lr: 1.0000e-03 eta: 12:47:46 time: 0.9381 data_time: 0.0314 memory: 21548 grad_norm: 3.9194 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9294 loss: 0.9294 2022/08/01 12:06:39 - mmengine - INFO - Epoch(train) [46][920/940] lr: 1.0000e-03 eta: 12:47:26 time: 0.8014 data_time: 0.0388 memory: 21548 grad_norm: 4.0494 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8933 loss: 0.8933 2022/08/01 12:06:55 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 12:06:55 - mmengine - INFO - Epoch(train) [46][940/940] lr: 1.0000e-03 eta: 12:47:06 time: 0.8261 data_time: 0.0282 memory: 21548 grad_norm: 4.1813 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 0.9828 loss: 0.9828 2022/08/01 12:07:16 - mmengine - INFO - Epoch(val) [46][20/78] eta: 0:00:58 time: 1.0068 data_time: 0.8760 memory: 3271 2022/08/01 12:07:30 - mmengine - INFO - Epoch(val) [46][40/78] eta: 0:00:27 time: 0.7187 data_time: 0.5835 memory: 3271 2022/08/01 12:07:50 - mmengine - INFO - Epoch(val) [46][60/78] eta: 0:00:17 time: 0.9812 data_time: 0.8558 memory: 3271 2022/08/01 12:08:04 - mmengine - INFO - Epoch(val) [46][78/78] acc/top1: 0.7138 acc/top5: 0.8998 acc/mean1: 0.7137 2022/08/01 12:08:04 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_45.pth is removed 2022/08/01 12:08:06 - mmengine - INFO - The best checkpoint with 0.7138 acc/top1 at 47 epoch is saved to best_acc/top1_epoch_47.pth. 2022/08/01 12:08:27 - mmengine - INFO - Epoch(train) [47][20/940] lr: 1.0000e-03 eta: 12:46:52 time: 1.0890 data_time: 0.6578 memory: 21548 grad_norm: 3.9290 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8584 loss: 0.8584 2022/08/01 12:08:42 - mmengine - INFO - Epoch(train) [47][40/940] lr: 1.0000e-03 eta: 12:46:29 time: 0.7180 data_time: 0.2970 memory: 21548 grad_norm: 4.0029 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8446 loss: 0.8446 2022/08/01 12:09:13 - mmengine - INFO - Epoch(train) [47][60/940] lr: 1.0000e-03 eta: 12:46:26 time: 1.5505 data_time: 0.3226 memory: 21548 grad_norm: 3.9551 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 1.0096 loss: 1.0096 2022/08/01 12:09:28 - mmengine - INFO - Epoch(train) [47][80/940] lr: 1.0000e-03 eta: 12:46:05 time: 0.7673 data_time: 0.0319 memory: 21548 grad_norm: 3.9672 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8308 loss: 0.8308 2022/08/01 12:09:46 - mmengine - INFO - Epoch(train) [47][100/940] lr: 1.0000e-03 eta: 12:45:46 time: 0.8821 data_time: 0.0358 memory: 21548 grad_norm: 3.8419 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8167 loss: 0.8167 2022/08/01 12:10:02 - mmengine - INFO - Epoch(train) [47][120/940] lr: 1.0000e-03 eta: 12:45:26 time: 0.8151 data_time: 0.0352 memory: 21548 grad_norm: 3.9964 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7839 loss: 0.7839 2022/08/01 12:10:20 - mmengine - INFO - Epoch(train) [47][140/940] lr: 1.0000e-03 eta: 12:45:07 time: 0.8726 data_time: 0.0391 memory: 21548 grad_norm: 3.8597 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8962 loss: 0.8962 2022/08/01 12:10:35 - mmengine - INFO - Epoch(train) [47][160/940] lr: 1.0000e-03 eta: 12:44:46 time: 0.7840 data_time: 0.0410 memory: 21548 grad_norm: 4.0120 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9471 loss: 0.9471 2022/08/01 12:10:54 - mmengine - INFO - Epoch(train) [47][180/940] lr: 1.0000e-03 eta: 12:44:28 time: 0.9265 data_time: 0.0363 memory: 21548 grad_norm: 4.1158 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9539 loss: 0.9539 2022/08/01 12:11:10 - mmengine - INFO - Epoch(train) [47][200/940] lr: 1.0000e-03 eta: 12:44:08 time: 0.8252 data_time: 0.0339 memory: 21548 grad_norm: 3.9885 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9068 loss: 0.9068 2022/08/01 12:11:29 - mmengine - INFO - Epoch(train) [47][220/940] lr: 1.0000e-03 eta: 12:43:51 time: 0.9232 data_time: 0.0405 memory: 21548 grad_norm: 3.9138 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 0.9137 loss: 0.9137 2022/08/01 12:11:43 - mmengine - INFO - Epoch(train) [47][240/940] lr: 1.0000e-03 eta: 12:43:28 time: 0.7069 data_time: 0.0345 memory: 21548 grad_norm: 4.0019 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9714 loss: 0.9714 2022/08/01 12:12:03 - mmengine - INFO - Epoch(train) [47][260/940] lr: 1.0000e-03 eta: 12:43:12 time: 0.9901 data_time: 0.0446 memory: 21548 grad_norm: 4.0441 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9976 loss: 0.9976 2022/08/01 12:12:20 - mmengine - INFO - Epoch(train) [47][280/940] lr: 1.0000e-03 eta: 12:42:52 time: 0.8605 data_time: 0.0342 memory: 21548 grad_norm: 3.9540 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9070 loss: 0.9070 2022/08/01 12:12:39 - mmengine - INFO - Epoch(train) [47][300/940] lr: 1.0000e-03 eta: 12:42:35 time: 0.9429 data_time: 0.0310 memory: 21548 grad_norm: 4.0534 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0067 loss: 1.0067 2022/08/01 12:12:55 - mmengine - INFO - Epoch(train) [47][320/940] lr: 1.0000e-03 eta: 12:42:14 time: 0.7842 data_time: 0.0484 memory: 21548 grad_norm: 3.9609 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8263 loss: 0.8263 2022/08/01 12:13:14 - mmengine - INFO - Epoch(train) [47][340/940] lr: 1.0000e-03 eta: 12:41:58 time: 0.9819 data_time: 0.0395 memory: 21548 grad_norm: 4.0766 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8476 loss: 0.8476 2022/08/01 12:13:30 - mmengine - INFO - Epoch(train) [47][360/940] lr: 1.0000e-03 eta: 12:41:37 time: 0.8143 data_time: 0.0305 memory: 21548 grad_norm: 3.9629 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.9043 loss: 0.9043 2022/08/01 12:13:48 - mmengine - INFO - Epoch(train) [47][380/940] lr: 1.0000e-03 eta: 12:41:18 time: 0.8695 data_time: 0.0388 memory: 21548 grad_norm: 3.9979 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8909 loss: 0.8909 2022/08/01 12:14:02 - mmengine - INFO - Epoch(train) [47][400/940] lr: 1.0000e-03 eta: 12:40:55 time: 0.6961 data_time: 0.0425 memory: 21548 grad_norm: 3.9841 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7911 loss: 0.7911 2022/08/01 12:14:19 - mmengine - INFO - Epoch(train) [47][420/940] lr: 1.0000e-03 eta: 12:40:36 time: 0.8710 data_time: 0.0349 memory: 21548 grad_norm: 3.9937 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8701 loss: 0.8701 2022/08/01 12:14:35 - mmengine - INFO - Epoch(train) [47][440/940] lr: 1.0000e-03 eta: 12:40:15 time: 0.7809 data_time: 0.0420 memory: 21548 grad_norm: 4.1374 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.9855 loss: 0.9855 2022/08/01 12:14:53 - mmengine - INFO - Epoch(train) [47][460/940] lr: 1.0000e-03 eta: 12:39:58 time: 0.9208 data_time: 0.0552 memory: 21548 grad_norm: 3.9930 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9528 loss: 0.9528 2022/08/01 12:15:10 - mmengine - INFO - Epoch(train) [47][480/940] lr: 1.0000e-03 eta: 12:39:37 time: 0.8160 data_time: 0.0398 memory: 21548 grad_norm: 4.0948 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0092 loss: 1.0092 2022/08/01 12:15:29 - mmengine - INFO - Epoch(train) [47][500/940] lr: 1.0000e-03 eta: 12:39:21 time: 0.9681 data_time: 0.0337 memory: 21548 grad_norm: 3.9770 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8525 loss: 0.8525 2022/08/01 12:15:52 - mmengine - INFO - Epoch(train) [47][520/940] lr: 1.0000e-03 eta: 12:39:08 time: 1.1433 data_time: 0.0331 memory: 21548 grad_norm: 4.0612 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9895 loss: 0.9895 2022/08/01 12:16:14 - mmengine - INFO - Epoch(train) [47][540/940] lr: 1.0000e-03 eta: 12:38:54 time: 1.0934 data_time: 0.0258 memory: 21548 grad_norm: 3.9197 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9061 loss: 0.9061 2022/08/01 12:16:29 - mmengine - INFO - Epoch(train) [47][560/940] lr: 1.0000e-03 eta: 12:38:33 time: 0.7783 data_time: 0.0494 memory: 21548 grad_norm: 4.0989 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9731 loss: 0.9731 2022/08/01 12:16:47 - mmengine - INFO - Epoch(train) [47][580/940] lr: 1.0000e-03 eta: 12:38:14 time: 0.8746 data_time: 0.0346 memory: 21548 grad_norm: 4.0542 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8463 loss: 0.8463 2022/08/01 12:17:04 - mmengine - INFO - Epoch(train) [47][600/940] lr: 1.0000e-03 eta: 12:37:55 time: 0.8480 data_time: 0.0373 memory: 21548 grad_norm: 3.9533 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8569 loss: 0.8569 2022/08/01 12:17:22 - mmengine - INFO - Epoch(train) [47][620/940] lr: 1.0000e-03 eta: 12:37:37 time: 0.9391 data_time: 0.0378 memory: 21548 grad_norm: 4.0021 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7658 loss: 0.7658 2022/08/01 12:17:39 - mmengine - INFO - Epoch(train) [47][640/940] lr: 1.0000e-03 eta: 12:37:17 time: 0.8171 data_time: 0.0382 memory: 21548 grad_norm: 4.0466 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8407 loss: 0.8407 2022/08/01 12:17:57 - mmengine - INFO - Epoch(train) [47][660/940] lr: 1.0000e-03 eta: 12:36:59 time: 0.9083 data_time: 0.0495 memory: 21548 grad_norm: 3.9159 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8569 loss: 0.8569 2022/08/01 12:18:12 - mmengine - INFO - Epoch(train) [47][680/940] lr: 1.0000e-03 eta: 12:36:38 time: 0.7552 data_time: 0.0380 memory: 21548 grad_norm: 3.9972 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8591 loss: 0.8591 2022/08/01 12:18:31 - mmengine - INFO - Epoch(train) [47][700/940] lr: 1.0000e-03 eta: 12:36:20 time: 0.9507 data_time: 0.0318 memory: 21548 grad_norm: 3.9513 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7863 loss: 0.7863 2022/08/01 12:18:47 - mmengine - INFO - Epoch(train) [47][720/940] lr: 1.0000e-03 eta: 12:35:59 time: 0.7811 data_time: 0.0430 memory: 21548 grad_norm: 4.1414 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8796 loss: 0.8796 2022/08/01 12:19:04 - mmengine - INFO - Epoch(train) [47][740/940] lr: 1.0000e-03 eta: 12:35:41 time: 0.8864 data_time: 0.0404 memory: 21548 grad_norm: 4.0404 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9762 loss: 0.9762 2022/08/01 12:19:20 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 12:19:20 - mmengine - INFO - Epoch(train) [47][760/940] lr: 1.0000e-03 eta: 12:35:19 time: 0.7549 data_time: 0.0392 memory: 21548 grad_norm: 4.1543 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9594 loss: 0.9594 2022/08/01 12:19:37 - mmengine - INFO - Epoch(train) [47][780/940] lr: 1.0000e-03 eta: 12:35:00 time: 0.8660 data_time: 0.0345 memory: 21548 grad_norm: 3.9601 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8626 loss: 0.8626 2022/08/01 12:19:58 - mmengine - INFO - Epoch(train) [47][800/940] lr: 1.0000e-03 eta: 12:34:46 time: 1.0616 data_time: 0.0392 memory: 21548 grad_norm: 4.0206 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8485 loss: 0.8485 2022/08/01 12:20:17 - mmengine - INFO - Epoch(train) [47][820/940] lr: 1.0000e-03 eta: 12:34:28 time: 0.9302 data_time: 0.0381 memory: 21548 grad_norm: 4.1480 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9420 loss: 0.9420 2022/08/01 12:20:32 - mmengine - INFO - Epoch(train) [47][840/940] lr: 1.0000e-03 eta: 12:34:07 time: 0.7605 data_time: 0.0397 memory: 21548 grad_norm: 4.0461 top1_acc: 0.9062 top5_acc: 0.9062 loss_cls: 0.9368 loss: 0.9368 2022/08/01 12:20:50 - mmengine - INFO - Epoch(train) [47][860/940] lr: 1.0000e-03 eta: 12:33:48 time: 0.9062 data_time: 0.0357 memory: 21548 grad_norm: 4.1679 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9740 loss: 0.9740 2022/08/01 12:21:06 - mmengine - INFO - Epoch(train) [47][880/940] lr: 1.0000e-03 eta: 12:33:27 time: 0.7758 data_time: 0.0376 memory: 21548 grad_norm: 4.0478 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8778 loss: 0.8778 2022/08/01 12:21:23 - mmengine - INFO - Epoch(train) [47][900/940] lr: 1.0000e-03 eta: 12:33:08 time: 0.8472 data_time: 0.0348 memory: 21548 grad_norm: 4.0463 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8984 loss: 0.8984 2022/08/01 12:21:40 - mmengine - INFO - Epoch(train) [47][920/940] lr: 1.0000e-03 eta: 12:32:49 time: 0.8741 data_time: 0.0415 memory: 21548 grad_norm: 4.0899 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8988 loss: 0.8988 2022/08/01 12:21:53 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 12:21:53 - mmengine - INFO - Epoch(train) [47][940/940] lr: 1.0000e-03 eta: 12:32:26 time: 0.6676 data_time: 0.0295 memory: 21548 grad_norm: 4.3656 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8190 loss: 0.8190 2022/08/01 12:22:14 - mmengine - INFO - Epoch(val) [47][20/78] eta: 0:00:58 time: 1.0004 data_time: 0.8735 memory: 3271 2022/08/01 12:22:28 - mmengine - INFO - Epoch(val) [47][40/78] eta: 0:00:27 time: 0.7177 data_time: 0.5906 memory: 3271 2022/08/01 12:22:47 - mmengine - INFO - Epoch(val) [47][60/78] eta: 0:00:17 time: 0.9507 data_time: 0.8231 memory: 3271 2022/08/01 12:23:03 - mmengine - INFO - Epoch(val) [47][78/78] acc/top1: 0.7159 acc/top5: 0.8994 acc/mean1: 0.7157 2022/08/01 12:23:03 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_47.pth is removed 2022/08/01 12:23:04 - mmengine - INFO - The best checkpoint with 0.7159 acc/top1 at 48 epoch is saved to best_acc/top1_epoch_48.pth. 2022/08/01 12:23:27 - mmengine - INFO - Epoch(train) [48][20/940] lr: 1.0000e-03 eta: 12:32:13 time: 1.1352 data_time: 0.7182 memory: 21548 grad_norm: 4.0740 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9194 loss: 0.9194 2022/08/01 12:23:42 - mmengine - INFO - Epoch(train) [48][40/940] lr: 1.0000e-03 eta: 12:31:51 time: 0.7680 data_time: 0.3696 memory: 21548 grad_norm: 4.0060 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9651 loss: 0.9651 2022/08/01 12:24:02 - mmengine - INFO - Epoch(train) [48][60/940] lr: 1.0000e-03 eta: 12:31:34 time: 0.9628 data_time: 0.5811 memory: 21548 grad_norm: 3.9821 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8920 loss: 0.8920 2022/08/01 12:24:18 - mmengine - INFO - Epoch(train) [48][80/940] lr: 1.0000e-03 eta: 12:31:15 time: 0.8277 data_time: 0.2535 memory: 21548 grad_norm: 4.0707 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8774 loss: 0.8774 2022/08/01 12:24:38 - mmengine - INFO - Epoch(train) [48][100/940] lr: 1.0000e-03 eta: 12:30:58 time: 0.9741 data_time: 0.1501 memory: 21548 grad_norm: 4.0735 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8731 loss: 0.8731 2022/08/01 12:24:52 - mmengine - INFO - Epoch(train) [48][120/940] lr: 1.0000e-03 eta: 12:30:36 time: 0.7216 data_time: 0.0364 memory: 21548 grad_norm: 3.9420 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8604 loss: 0.8604 2022/08/01 12:25:11 - mmengine - INFO - Epoch(train) [48][140/940] lr: 1.0000e-03 eta: 12:30:18 time: 0.9440 data_time: 0.0386 memory: 21548 grad_norm: 4.0227 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8798 loss: 0.8798 2022/08/01 12:25:28 - mmengine - INFO - Epoch(train) [48][160/940] lr: 1.0000e-03 eta: 12:29:59 time: 0.8496 data_time: 0.0350 memory: 21548 grad_norm: 3.9882 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 0.8339 loss: 0.8339 2022/08/01 12:25:46 - mmengine - INFO - Epoch(train) [48][180/940] lr: 1.0000e-03 eta: 12:29:41 time: 0.9066 data_time: 0.0366 memory: 21548 grad_norm: 3.9744 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8944 loss: 0.8944 2022/08/01 12:26:02 - mmengine - INFO - Epoch(train) [48][200/940] lr: 1.0000e-03 eta: 12:29:21 time: 0.8190 data_time: 0.1010 memory: 21548 grad_norm: 3.9649 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7666 loss: 0.7666 2022/08/01 12:26:21 - mmengine - INFO - Epoch(train) [48][220/940] lr: 1.0000e-03 eta: 12:29:03 time: 0.9087 data_time: 0.0346 memory: 21548 grad_norm: 4.0443 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9961 loss: 0.9961 2022/08/01 12:26:36 - mmengine - INFO - Epoch(train) [48][240/940] lr: 1.0000e-03 eta: 12:28:41 time: 0.7610 data_time: 0.0589 memory: 21548 grad_norm: 4.0445 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8747 loss: 0.8747 2022/08/01 12:26:55 - mmengine - INFO - Epoch(train) [48][260/940] lr: 1.0000e-03 eta: 12:28:24 time: 0.9441 data_time: 0.0386 memory: 21548 grad_norm: 3.9254 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 0.9071 loss: 0.9071 2022/08/01 12:27:10 - mmengine - INFO - Epoch(train) [48][280/940] lr: 1.0000e-03 eta: 12:28:03 time: 0.7639 data_time: 0.0421 memory: 21548 grad_norm: 3.9316 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.9002 loss: 0.9002 2022/08/01 12:27:28 - mmengine - INFO - Epoch(train) [48][300/940] lr: 1.0000e-03 eta: 12:27:44 time: 0.8891 data_time: 0.1354 memory: 21548 grad_norm: 3.9343 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8615 loss: 0.8615 2022/08/01 12:27:44 - mmengine - INFO - Epoch(train) [48][320/940] lr: 1.0000e-03 eta: 12:27:24 time: 0.8132 data_time: 0.1166 memory: 21548 grad_norm: 3.9900 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9473 loss: 0.9473 2022/08/01 12:28:01 - mmengine - INFO - Epoch(train) [48][340/940] lr: 1.0000e-03 eta: 12:27:05 time: 0.8565 data_time: 0.1186 memory: 21548 grad_norm: 3.9319 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9483 loss: 0.9483 2022/08/01 12:28:20 - mmengine - INFO - Epoch(train) [48][360/940] lr: 1.0000e-03 eta: 12:26:48 time: 0.9526 data_time: 0.0632 memory: 21548 grad_norm: 4.0023 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8551 loss: 0.8551 2022/08/01 12:28:39 - mmengine - INFO - Epoch(train) [48][380/940] lr: 1.0000e-03 eta: 12:26:30 time: 0.9229 data_time: 0.1303 memory: 21548 grad_norm: 3.9576 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8458 loss: 0.8458 2022/08/01 12:29:12 - mmengine - INFO - Epoch(train) [48][400/940] lr: 1.0000e-03 eta: 12:26:28 time: 1.6374 data_time: 0.0286 memory: 21548 grad_norm: 4.0458 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8643 loss: 0.8643 2022/08/01 12:29:31 - mmengine - INFO - Epoch(train) [48][420/940] lr: 1.0000e-03 eta: 12:26:11 time: 0.9587 data_time: 0.0347 memory: 21548 grad_norm: 4.0869 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9284 loss: 0.9284 2022/08/01 12:29:48 - mmengine - INFO - Epoch(train) [48][440/940] lr: 1.0000e-03 eta: 12:25:52 time: 0.8637 data_time: 0.0288 memory: 21548 grad_norm: 4.0730 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9576 loss: 0.9576 2022/08/01 12:30:04 - mmengine - INFO - Epoch(train) [48][460/940] lr: 1.0000e-03 eta: 12:25:31 time: 0.7827 data_time: 0.0361 memory: 21548 grad_norm: 4.0608 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9415 loss: 0.9415 2022/08/01 12:30:23 - mmengine - INFO - Epoch(train) [48][480/940] lr: 1.0000e-03 eta: 12:25:14 time: 0.9595 data_time: 0.0382 memory: 21548 grad_norm: 4.1140 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 0.9860 loss: 0.9860 2022/08/01 12:30:38 - mmengine - INFO - Epoch(train) [48][500/940] lr: 1.0000e-03 eta: 12:24:53 time: 0.7698 data_time: 0.0361 memory: 21548 grad_norm: 3.9704 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9326 loss: 0.9326 2022/08/01 12:30:56 - mmengine - INFO - Epoch(train) [48][520/940] lr: 1.0000e-03 eta: 12:24:34 time: 0.8724 data_time: 0.0619 memory: 21548 grad_norm: 4.0401 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8236 loss: 0.8236 2022/08/01 12:31:13 - mmengine - INFO - Epoch(train) [48][540/940] lr: 1.0000e-03 eta: 12:24:15 time: 0.8476 data_time: 0.0392 memory: 21548 grad_norm: 4.1926 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8914 loss: 0.8914 2022/08/01 12:31:31 - mmengine - INFO - Epoch(train) [48][560/940] lr: 1.0000e-03 eta: 12:23:57 time: 0.9318 data_time: 0.0350 memory: 21548 grad_norm: 3.9964 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.8894 loss: 0.8894 2022/08/01 12:31:46 - mmengine - INFO - Epoch(train) [48][580/940] lr: 1.0000e-03 eta: 12:23:36 time: 0.7631 data_time: 0.0337 memory: 21548 grad_norm: 4.0084 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8889 loss: 0.8889 2022/08/01 12:32:05 - mmengine - INFO - Epoch(train) [48][600/940] lr: 1.0000e-03 eta: 12:23:18 time: 0.9096 data_time: 0.0325 memory: 21548 grad_norm: 4.0529 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9125 loss: 0.9125 2022/08/01 12:32:19 - mmengine - INFO - Epoch(train) [48][620/940] lr: 1.0000e-03 eta: 12:22:56 time: 0.7077 data_time: 0.0379 memory: 21548 grad_norm: 4.1345 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8865 loss: 0.8865 2022/08/01 12:32:37 - mmengine - INFO - Epoch(train) [48][640/940] lr: 1.0000e-03 eta: 12:22:37 time: 0.8999 data_time: 0.0322 memory: 21548 grad_norm: 4.0594 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7751 loss: 0.7751 2022/08/01 12:32:53 - mmengine - INFO - Epoch(train) [48][660/940] lr: 1.0000e-03 eta: 12:22:17 time: 0.8170 data_time: 0.1339 memory: 21548 grad_norm: 4.0970 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9104 loss: 0.9104 2022/08/01 12:33:12 - mmengine - INFO - Epoch(train) [48][680/940] lr: 1.0000e-03 eta: 12:21:59 time: 0.9199 data_time: 0.1048 memory: 21548 grad_norm: 3.9946 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9006 loss: 0.9006 2022/08/01 12:33:27 - mmengine - INFO - Epoch(train) [48][700/940] lr: 1.0000e-03 eta: 12:21:39 time: 0.7878 data_time: 0.0339 memory: 21548 grad_norm: 4.0405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8662 loss: 0.8662 2022/08/01 12:33:46 - mmengine - INFO - Epoch(train) [48][720/940] lr: 1.0000e-03 eta: 12:21:21 time: 0.9352 data_time: 0.0370 memory: 21548 grad_norm: 4.0403 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8617 loss: 0.8617 2022/08/01 12:34:02 - mmengine - INFO - Epoch(train) [48][740/940] lr: 1.0000e-03 eta: 12:21:01 time: 0.7924 data_time: 0.0390 memory: 21548 grad_norm: 3.9667 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8948 loss: 0.8948 2022/08/01 12:34:22 - mmengine - INFO - Epoch(train) [48][760/940] lr: 1.0000e-03 eta: 12:20:45 time: 1.0241 data_time: 0.0615 memory: 21548 grad_norm: 4.0139 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9572 loss: 0.9572 2022/08/01 12:34:38 - mmengine - INFO - Epoch(train) [48][780/940] lr: 1.0000e-03 eta: 12:20:24 time: 0.7634 data_time: 0.0371 memory: 21548 grad_norm: 4.0007 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9176 loss: 0.9176 2022/08/01 12:34:56 - mmengine - INFO - Epoch(train) [48][800/940] lr: 1.0000e-03 eta: 12:20:06 time: 0.9135 data_time: 0.0399 memory: 21548 grad_norm: 4.0571 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9363 loss: 0.9363 2022/08/01 12:35:12 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 12:35:12 - mmengine - INFO - Epoch(train) [48][820/940] lr: 1.0000e-03 eta: 12:19:45 time: 0.7891 data_time: 0.0562 memory: 21548 grad_norm: 3.9208 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9051 loss: 0.9051 2022/08/01 12:35:31 - mmengine - INFO - Epoch(train) [48][840/940] lr: 1.0000e-03 eta: 12:19:28 time: 0.9485 data_time: 0.0340 memory: 21548 grad_norm: 4.0758 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8894 loss: 0.8894 2022/08/01 12:35:45 - mmengine - INFO - Epoch(train) [48][860/940] lr: 1.0000e-03 eta: 12:19:06 time: 0.7405 data_time: 0.0383 memory: 21548 grad_norm: 4.0291 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.8364 loss: 0.8364 2022/08/01 12:36:04 - mmengine - INFO - Epoch(train) [48][880/940] lr: 1.0000e-03 eta: 12:18:49 time: 0.9377 data_time: 0.0365 memory: 21548 grad_norm: 4.0794 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 0.9051 loss: 0.9051 2022/08/01 12:36:21 - mmengine - INFO - Epoch(train) [48][900/940] lr: 1.0000e-03 eta: 12:18:29 time: 0.8145 data_time: 0.0352 memory: 21548 grad_norm: 4.0440 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9008 loss: 0.9008 2022/08/01 12:36:40 - mmengine - INFO - Epoch(train) [48][920/940] lr: 1.0000e-03 eta: 12:18:12 time: 0.9559 data_time: 0.0368 memory: 21548 grad_norm: 4.0332 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8906 loss: 0.8906 2022/08/01 12:36:52 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 12:36:52 - mmengine - INFO - Epoch(train) [48][940/940] lr: 1.0000e-03 eta: 12:17:48 time: 0.6203 data_time: 0.0302 memory: 21548 grad_norm: 4.3574 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.0713 loss: 1.0713 2022/08/01 12:36:52 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/08/01 12:37:15 - mmengine - INFO - Epoch(val) [48][20/78] eta: 0:01:00 time: 1.0351 data_time: 0.9122 memory: 3271 2022/08/01 12:37:30 - mmengine - INFO - Epoch(val) [48][40/78] eta: 0:00:27 time: 0.7333 data_time: 0.6087 memory: 3271 2022/08/01 12:37:49 - mmengine - INFO - Epoch(val) [48][60/78] eta: 0:00:17 time: 0.9792 data_time: 0.8567 memory: 3271 2022/08/01 12:38:05 - mmengine - INFO - Epoch(val) [48][78/78] acc/top1: 0.7156 acc/top5: 0.8986 acc/mean1: 0.7156 2022/08/01 12:38:28 - mmengine - INFO - Epoch(train) [49][20/940] lr: 1.0000e-03 eta: 12:17:34 time: 1.1368 data_time: 0.5824 memory: 21548 grad_norm: 4.1112 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8889 loss: 0.8889 2022/08/01 12:38:43 - mmengine - INFO - Epoch(train) [49][40/940] lr: 1.0000e-03 eta: 12:17:13 time: 0.7450 data_time: 0.2390 memory: 21548 grad_norm: 4.0270 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8440 loss: 0.8440 2022/08/01 12:39:01 - mmengine - INFO - Epoch(train) [49][60/940] lr: 1.0000e-03 eta: 12:16:55 time: 0.9135 data_time: 0.4581 memory: 21548 grad_norm: 4.0522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8074 loss: 0.8074 2022/08/01 12:39:16 - mmengine - INFO - Epoch(train) [49][80/940] lr: 1.0000e-03 eta: 12:16:34 time: 0.7651 data_time: 0.3383 memory: 21548 grad_norm: 3.9907 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9049 loss: 0.9049 2022/08/01 12:39:35 - mmengine - INFO - Epoch(train) [49][100/940] lr: 1.0000e-03 eta: 12:16:17 time: 0.9550 data_time: 0.3149 memory: 21548 grad_norm: 4.0442 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8388 loss: 0.8388 2022/08/01 12:39:52 - mmengine - INFO - Epoch(train) [49][120/940] lr: 1.0000e-03 eta: 12:15:57 time: 0.8137 data_time: 0.1271 memory: 21548 grad_norm: 3.9920 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9004 loss: 0.9004 2022/08/01 12:40:10 - mmengine - INFO - Epoch(train) [49][140/940] lr: 1.0000e-03 eta: 12:15:39 time: 0.9382 data_time: 0.1119 memory: 21548 grad_norm: 4.0639 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8620 loss: 0.8620 2022/08/01 12:40:25 - mmengine - INFO - Epoch(train) [49][160/940] lr: 1.0000e-03 eta: 12:15:18 time: 0.7430 data_time: 0.1701 memory: 21548 grad_norm: 3.9182 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9403 loss: 0.9403 2022/08/01 12:40:44 - mmengine - INFO - Epoch(train) [49][180/940] lr: 1.0000e-03 eta: 12:15:00 time: 0.9370 data_time: 0.2823 memory: 21548 grad_norm: 3.9649 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8475 loss: 0.8475 2022/08/01 12:40:59 - mmengine - INFO - Epoch(train) [49][200/940] lr: 1.0000e-03 eta: 12:14:39 time: 0.7664 data_time: 0.0784 memory: 21548 grad_norm: 4.0425 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8233 loss: 0.8233 2022/08/01 12:41:18 - mmengine - INFO - Epoch(train) [49][220/940] lr: 1.0000e-03 eta: 12:14:21 time: 0.9114 data_time: 0.0636 memory: 21548 grad_norm: 4.0580 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8108 loss: 0.8108 2022/08/01 12:41:34 - mmengine - INFO - Epoch(train) [49][240/940] lr: 1.0000e-03 eta: 12:14:01 time: 0.8131 data_time: 0.2080 memory: 21548 grad_norm: 4.0156 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9280 loss: 0.9280 2022/08/01 12:41:51 - mmengine - INFO - Epoch(train) [49][260/940] lr: 1.0000e-03 eta: 12:13:42 time: 0.8651 data_time: 0.2441 memory: 21548 grad_norm: 4.1282 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9681 loss: 0.9681 2022/08/01 12:42:08 - mmengine - INFO - Epoch(train) [49][280/940] lr: 1.0000e-03 eta: 12:13:23 time: 0.8554 data_time: 0.2793 memory: 21548 grad_norm: 4.0060 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8918 loss: 0.8918 2022/08/01 12:42:27 - mmengine - INFO - Epoch(train) [49][300/940] lr: 1.0000e-03 eta: 12:13:06 time: 0.9617 data_time: 0.0667 memory: 21548 grad_norm: 4.1526 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8938 loss: 0.8938 2022/08/01 12:42:42 - mmengine - INFO - Epoch(train) [49][320/940] lr: 1.0000e-03 eta: 12:12:44 time: 0.7439 data_time: 0.0415 memory: 21548 grad_norm: 3.9968 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8936 loss: 0.8936 2022/08/01 12:43:02 - mmengine - INFO - Epoch(train) [49][340/940] lr: 1.0000e-03 eta: 12:12:28 time: 0.9809 data_time: 0.0431 memory: 21548 grad_norm: 4.0445 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9380 loss: 0.9380 2022/08/01 12:43:16 - mmengine - INFO - Epoch(train) [49][360/940] lr: 1.0000e-03 eta: 12:12:05 time: 0.7024 data_time: 0.0358 memory: 21548 grad_norm: 4.0718 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8343 loss: 0.8343 2022/08/01 12:43:34 - mmengine - INFO - Epoch(train) [49][380/940] lr: 1.0000e-03 eta: 12:11:48 time: 0.9166 data_time: 0.0350 memory: 21548 grad_norm: 3.9951 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8797 loss: 0.8797 2022/08/01 12:43:51 - mmengine - INFO - Epoch(train) [49][400/940] lr: 1.0000e-03 eta: 12:11:28 time: 0.8329 data_time: 0.0429 memory: 21548 grad_norm: 4.0460 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 0.8105 loss: 0.8105 2022/08/01 12:44:11 - mmengine - INFO - Epoch(train) [49][420/940] lr: 1.0000e-03 eta: 12:11:12 time: 1.0012 data_time: 0.0359 memory: 21548 grad_norm: 3.9605 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9503 loss: 0.9503 2022/08/01 12:44:26 - mmengine - INFO - Epoch(train) [49][440/940] lr: 1.0000e-03 eta: 12:10:50 time: 0.7390 data_time: 0.0408 memory: 21548 grad_norm: 3.9864 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9609 loss: 0.9609 2022/08/01 12:44:45 - mmengine - INFO - Epoch(train) [49][460/940] lr: 1.0000e-03 eta: 12:10:33 time: 0.9441 data_time: 0.0378 memory: 21548 grad_norm: 4.0892 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8807 loss: 0.8807 2022/08/01 12:45:00 - mmengine - INFO - Epoch(train) [49][480/940] lr: 1.0000e-03 eta: 12:10:12 time: 0.7488 data_time: 0.0418 memory: 21548 grad_norm: 4.0781 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8810 loss: 0.8810 2022/08/01 12:45:19 - mmengine - INFO - Epoch(train) [49][500/940] lr: 1.0000e-03 eta: 12:09:54 time: 0.9414 data_time: 0.0354 memory: 21548 grad_norm: 4.1829 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9957 loss: 0.9957 2022/08/01 12:45:34 - mmengine - INFO - Epoch(train) [49][520/940] lr: 1.0000e-03 eta: 12:09:33 time: 0.7606 data_time: 0.0377 memory: 21548 grad_norm: 4.0557 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.8392 loss: 0.8392 2022/08/01 12:45:52 - mmengine - INFO - Epoch(train) [49][540/940] lr: 1.0000e-03 eta: 12:09:15 time: 0.9271 data_time: 0.0327 memory: 21548 grad_norm: 4.0897 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8816 loss: 0.8816 2022/08/01 12:46:08 - mmengine - INFO - Epoch(train) [49][560/940] lr: 1.0000e-03 eta: 12:08:55 time: 0.8018 data_time: 0.0377 memory: 21548 grad_norm: 4.0227 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9178 loss: 0.9178 2022/08/01 12:46:28 - mmengine - INFO - Epoch(train) [49][580/940] lr: 1.0000e-03 eta: 12:08:38 time: 0.9629 data_time: 0.0374 memory: 21548 grad_norm: 4.2127 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9155 loss: 0.9155 2022/08/01 12:46:43 - mmengine - INFO - Epoch(train) [49][600/940] lr: 1.0000e-03 eta: 12:08:18 time: 0.7880 data_time: 0.0387 memory: 21548 grad_norm: 3.9883 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8994 loss: 0.8994 2022/08/01 12:47:02 - mmengine - INFO - Epoch(train) [49][620/940] lr: 1.0000e-03 eta: 12:08:00 time: 0.9107 data_time: 0.0339 memory: 21548 grad_norm: 4.0393 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9296 loss: 0.9296 2022/08/01 12:47:16 - mmengine - INFO - Epoch(train) [49][640/940] lr: 1.0000e-03 eta: 12:07:38 time: 0.7434 data_time: 0.0353 memory: 21548 grad_norm: 4.1138 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8888 loss: 0.8888 2022/08/01 12:47:35 - mmengine - INFO - Epoch(train) [49][660/940] lr: 1.0000e-03 eta: 12:07:21 time: 0.9459 data_time: 0.0445 memory: 21548 grad_norm: 3.9874 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 0.8823 loss: 0.8823 2022/08/01 12:47:51 - mmengine - INFO - Epoch(train) [49][680/940] lr: 1.0000e-03 eta: 12:07:00 time: 0.7907 data_time: 0.0473 memory: 21548 grad_norm: 4.0436 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9713 loss: 0.9713 2022/08/01 12:48:10 - mmengine - INFO - Epoch(train) [49][700/940] lr: 1.0000e-03 eta: 12:06:42 time: 0.9149 data_time: 0.0388 memory: 21548 grad_norm: 4.0962 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9453 loss: 0.9453 2022/08/01 12:48:25 - mmengine - INFO - Epoch(train) [49][720/940] lr: 1.0000e-03 eta: 12:06:22 time: 0.7897 data_time: 0.0361 memory: 21548 grad_norm: 3.9737 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9747 loss: 0.9747 2022/08/01 12:48:44 - mmengine - INFO - Epoch(train) [49][740/940] lr: 1.0000e-03 eta: 12:06:05 time: 0.9489 data_time: 0.0396 memory: 21548 grad_norm: 4.0081 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8066 loss: 0.8066 2022/08/01 12:49:00 - mmengine - INFO - Epoch(train) [49][760/940] lr: 1.0000e-03 eta: 12:05:44 time: 0.7753 data_time: 0.0358 memory: 21548 grad_norm: 4.1799 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9472 loss: 0.9472 2022/08/01 12:49:18 - mmengine - INFO - Epoch(train) [49][780/940] lr: 1.0000e-03 eta: 12:05:26 time: 0.9104 data_time: 0.0363 memory: 21548 grad_norm: 4.0254 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8868 loss: 0.8868 2022/08/01 12:49:33 - mmengine - INFO - Epoch(train) [49][800/940] lr: 1.0000e-03 eta: 12:05:05 time: 0.7656 data_time: 0.0419 memory: 21548 grad_norm: 4.1889 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8439 loss: 0.8439 2022/08/01 12:49:55 - mmengine - INFO - Epoch(train) [49][820/940] lr: 1.0000e-03 eta: 12:04:50 time: 1.0699 data_time: 0.0427 memory: 21548 grad_norm: 4.0831 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8482 loss: 0.8482 2022/08/01 12:50:24 - mmengine - INFO - Epoch(train) [49][840/940] lr: 1.0000e-03 eta: 12:04:44 time: 1.4802 data_time: 0.1446 memory: 21548 grad_norm: 3.9677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9121 loss: 0.9121 2022/08/01 12:50:42 - mmengine - INFO - Epoch(train) [49][860/940] lr: 1.0000e-03 eta: 12:04:26 time: 0.8921 data_time: 0.0271 memory: 21548 grad_norm: 4.0256 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9123 loss: 0.9123 2022/08/01 12:51:03 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 12:51:03 - mmengine - INFO - Epoch(train) [49][880/940] lr: 1.0000e-03 eta: 12:04:11 time: 1.0399 data_time: 0.0334 memory: 21548 grad_norm: 3.9785 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8887 loss: 0.8887 2022/08/01 12:51:20 - mmengine - INFO - Epoch(train) [49][900/940] lr: 1.0000e-03 eta: 12:03:52 time: 0.8725 data_time: 0.0319 memory: 21548 grad_norm: 4.0234 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9430 loss: 0.9430 2022/08/01 12:51:38 - mmengine - INFO - Epoch(train) [49][920/940] lr: 1.0000e-03 eta: 12:03:33 time: 0.8545 data_time: 0.0376 memory: 21548 grad_norm: 4.0594 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.8003 loss: 0.8003 2022/08/01 12:51:51 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 12:51:51 - mmengine - INFO - Epoch(train) [49][940/940] lr: 1.0000e-03 eta: 12:03:10 time: 0.6929 data_time: 0.0233 memory: 21548 grad_norm: 4.3812 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9548 loss: 0.9548 2022/08/01 12:52:12 - mmengine - INFO - Epoch(val) [49][20/78] eta: 0:00:59 time: 1.0200 data_time: 0.8876 memory: 3271 2022/08/01 12:52:26 - mmengine - INFO - Epoch(val) [49][40/78] eta: 0:00:26 time: 0.6989 data_time: 0.5742 memory: 3271 2022/08/01 12:52:44 - mmengine - INFO - Epoch(val) [49][60/78] eta: 0:00:16 time: 0.9287 data_time: 0.8011 memory: 3271 2022/08/01 12:53:00 - mmengine - INFO - Epoch(val) [49][78/78] acc/top1: 0.7144 acc/top5: 0.8995 acc/mean1: 0.7143 2022/08/01 12:53:29 - mmengine - INFO - Epoch(train) [50][20/940] lr: 1.0000e-03 eta: 12:03:03 time: 1.4156 data_time: 0.3360 memory: 21548 grad_norm: 3.8990 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8560 loss: 0.8560 2022/08/01 12:53:45 - mmengine - INFO - Epoch(train) [50][40/940] lr: 1.0000e-03 eta: 12:02:42 time: 0.7840 data_time: 0.0409 memory: 21548 grad_norm: 3.8687 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8593 loss: 0.8593 2022/08/01 12:54:04 - mmengine - INFO - Epoch(train) [50][60/940] lr: 1.0000e-03 eta: 12:02:25 time: 0.9685 data_time: 0.0386 memory: 21548 grad_norm: 4.0158 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8436 loss: 0.8436 2022/08/01 12:54:18 - mmengine - INFO - Epoch(train) [50][80/940] lr: 1.0000e-03 eta: 12:02:03 time: 0.6912 data_time: 0.0375 memory: 21548 grad_norm: 3.9655 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8945 loss: 0.8945 2022/08/01 12:54:38 - mmengine - INFO - Epoch(train) [50][100/940] lr: 1.0000e-03 eta: 12:01:46 time: 0.9923 data_time: 0.0396 memory: 21548 grad_norm: 3.9515 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8583 loss: 0.8583 2022/08/01 12:54:53 - mmengine - INFO - Epoch(train) [50][120/940] lr: 1.0000e-03 eta: 12:01:25 time: 0.7680 data_time: 0.0449 memory: 21548 grad_norm: 4.0789 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9300 loss: 0.9300 2022/08/01 12:55:12 - mmengine - INFO - Epoch(train) [50][140/940] lr: 1.0000e-03 eta: 12:01:08 time: 0.9389 data_time: 0.0367 memory: 21548 grad_norm: 3.9985 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7916 loss: 0.7916 2022/08/01 12:55:27 - mmengine - INFO - Epoch(train) [50][160/940] lr: 1.0000e-03 eta: 12:00:47 time: 0.7621 data_time: 0.0400 memory: 21548 grad_norm: 4.0447 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7532 loss: 0.7532 2022/08/01 12:55:46 - mmengine - INFO - Epoch(train) [50][180/940] lr: 1.0000e-03 eta: 12:00:30 time: 0.9517 data_time: 0.0442 memory: 21548 grad_norm: 4.0816 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.8164 loss: 0.8164 2022/08/01 12:56:01 - mmengine - INFO - Epoch(train) [50][200/940] lr: 1.0000e-03 eta: 12:00:08 time: 0.7445 data_time: 0.0320 memory: 21548 grad_norm: 4.0362 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8810 loss: 0.8810 2022/08/01 12:56:20 - mmengine - INFO - Epoch(train) [50][220/940] lr: 1.0000e-03 eta: 11:59:51 time: 0.9460 data_time: 0.0493 memory: 21548 grad_norm: 4.0363 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9575 loss: 0.9575 2022/08/01 12:56:35 - mmengine - INFO - Epoch(train) [50][240/940] lr: 1.0000e-03 eta: 11:59:30 time: 0.7483 data_time: 0.0326 memory: 21548 grad_norm: 3.9518 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8148 loss: 0.8148 2022/08/01 12:56:53 - mmengine - INFO - Epoch(train) [50][260/940] lr: 1.0000e-03 eta: 11:59:11 time: 0.8896 data_time: 0.0400 memory: 21548 grad_norm: 4.0655 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9617 loss: 0.9617 2022/08/01 12:57:09 - mmengine - INFO - Epoch(train) [50][280/940] lr: 1.0000e-03 eta: 11:58:51 time: 0.8034 data_time: 0.0325 memory: 21548 grad_norm: 4.0257 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8653 loss: 0.8653 2022/08/01 12:57:27 - mmengine - INFO - Epoch(train) [50][300/940] lr: 1.0000e-03 eta: 11:58:34 time: 0.9334 data_time: 0.0387 memory: 21548 grad_norm: 4.0879 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9322 loss: 0.9322 2022/08/01 12:57:43 - mmengine - INFO - Epoch(train) [50][320/940] lr: 1.0000e-03 eta: 11:58:13 time: 0.7987 data_time: 0.0386 memory: 21548 grad_norm: 4.0924 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8135 loss: 0.8135 2022/08/01 12:58:02 - mmengine - INFO - Epoch(train) [50][340/940] lr: 1.0000e-03 eta: 11:57:55 time: 0.9089 data_time: 0.0435 memory: 21548 grad_norm: 4.0326 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8097 loss: 0.8097 2022/08/01 12:58:17 - mmengine - INFO - Epoch(train) [50][360/940] lr: 1.0000e-03 eta: 11:57:34 time: 0.7567 data_time: 0.0401 memory: 21548 grad_norm: 4.1306 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.8892 loss: 0.8892 2022/08/01 12:58:36 - mmengine - INFO - Epoch(train) [50][380/940] lr: 1.0000e-03 eta: 11:57:17 time: 0.9610 data_time: 0.0392 memory: 21548 grad_norm: 4.0291 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.7528 loss: 0.7528 2022/08/01 12:58:52 - mmengine - INFO - Epoch(train) [50][400/940] lr: 1.0000e-03 eta: 11:56:57 time: 0.7821 data_time: 0.0381 memory: 21548 grad_norm: 4.0781 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8674 loss: 0.8674 2022/08/01 12:59:12 - mmengine - INFO - Epoch(train) [50][420/940] lr: 1.0000e-03 eta: 11:56:41 time: 1.0318 data_time: 0.0365 memory: 21548 grad_norm: 4.0802 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.8678 loss: 0.8678 2022/08/01 12:59:27 - mmengine - INFO - Epoch(train) [50][440/940] lr: 1.0000e-03 eta: 11:56:20 time: 0.7377 data_time: 0.0346 memory: 21548 grad_norm: 4.0480 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8654 loss: 0.8654 2022/08/01 12:59:46 - mmengine - INFO - Epoch(train) [50][460/940] lr: 1.0000e-03 eta: 11:56:02 time: 0.9335 data_time: 0.0338 memory: 21548 grad_norm: 4.2160 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.9395 loss: 0.9395 2022/08/01 13:00:02 - mmengine - INFO - Epoch(train) [50][480/940] lr: 1.0000e-03 eta: 11:55:43 time: 0.8324 data_time: 0.0446 memory: 21548 grad_norm: 4.0222 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8045 loss: 0.8045 2022/08/01 13:00:30 - mmengine - INFO - Epoch(train) [50][500/940] lr: 1.0000e-03 eta: 11:55:34 time: 1.3840 data_time: 0.0297 memory: 21548 grad_norm: 4.1452 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9026 loss: 0.9026 2022/08/01 13:00:48 - mmengine - INFO - Epoch(train) [50][520/940] lr: 1.0000e-03 eta: 11:55:16 time: 0.8949 data_time: 0.0428 memory: 21548 grad_norm: 4.0789 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8918 loss: 0.8918 2022/08/01 13:01:04 - mmengine - INFO - Epoch(train) [50][540/940] lr: 1.0000e-03 eta: 11:54:56 time: 0.8297 data_time: 0.0372 memory: 21548 grad_norm: 4.0233 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.7473 loss: 0.7473 2022/08/01 13:01:23 - mmengine - INFO - Epoch(train) [50][560/940] lr: 1.0000e-03 eta: 11:54:39 time: 0.9195 data_time: 0.0374 memory: 21548 grad_norm: 4.0888 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8312 loss: 0.8312 2022/08/01 13:01:38 - mmengine - INFO - Epoch(train) [50][580/940] lr: 1.0000e-03 eta: 11:54:17 time: 0.7430 data_time: 0.0395 memory: 21548 grad_norm: 4.0343 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8578 loss: 0.8578 2022/08/01 13:01:56 - mmengine - INFO - Epoch(train) [50][600/940] lr: 1.0000e-03 eta: 11:53:59 time: 0.9260 data_time: 0.0346 memory: 21548 grad_norm: 4.0344 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.9173 loss: 0.9173 2022/08/01 13:02:11 - mmengine - INFO - Epoch(train) [50][620/940] lr: 1.0000e-03 eta: 11:53:38 time: 0.7466 data_time: 0.0513 memory: 21548 grad_norm: 3.9698 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9185 loss: 0.9185 2022/08/01 13:02:30 - mmengine - INFO - Epoch(train) [50][640/940] lr: 1.0000e-03 eta: 11:53:21 time: 0.9389 data_time: 0.0332 memory: 21548 grad_norm: 4.2205 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8355 loss: 0.8355 2022/08/01 13:02:45 - mmengine - INFO - Epoch(train) [50][660/940] lr: 1.0000e-03 eta: 11:53:00 time: 0.7717 data_time: 0.0437 memory: 21548 grad_norm: 3.9408 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.8544 loss: 0.8544 2022/08/01 13:03:04 - mmengine - INFO - Epoch(train) [50][680/940] lr: 1.0000e-03 eta: 11:52:42 time: 0.9099 data_time: 0.0347 memory: 21548 grad_norm: 4.0859 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8373 loss: 0.8373 2022/08/01 13:03:20 - mmengine - INFO - Epoch(train) [50][700/940] lr: 1.0000e-03 eta: 11:52:22 time: 0.8336 data_time: 0.0400 memory: 21548 grad_norm: 4.0486 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9222 loss: 0.9222 2022/08/01 13:03:37 - mmengine - INFO - Epoch(train) [50][720/940] lr: 1.0000e-03 eta: 11:52:03 time: 0.8376 data_time: 0.0467 memory: 21548 grad_norm: 3.9582 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8761 loss: 0.8761 2022/08/01 13:03:55 - mmengine - INFO - Epoch(train) [50][740/940] lr: 1.0000e-03 eta: 11:51:44 time: 0.8839 data_time: 0.0322 memory: 21548 grad_norm: 4.0376 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7854 loss: 0.7854 2022/08/01 13:04:13 - mmengine - INFO - Epoch(train) [50][760/940] lr: 1.0000e-03 eta: 11:51:27 time: 0.9136 data_time: 0.0507 memory: 21548 grad_norm: 4.1197 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9464 loss: 0.9464 2022/08/01 13:04:32 - mmengine - INFO - Epoch(train) [50][780/940] lr: 1.0000e-03 eta: 11:51:09 time: 0.9382 data_time: 0.0383 memory: 21548 grad_norm: 4.0728 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9622 loss: 0.9622 2022/08/01 13:04:49 - mmengine - INFO - Epoch(train) [50][800/940] lr: 1.0000e-03 eta: 11:50:50 time: 0.8432 data_time: 0.0380 memory: 21548 grad_norm: 4.1189 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8184 loss: 0.8184 2022/08/01 13:05:06 - mmengine - INFO - Epoch(train) [50][820/940] lr: 1.0000e-03 eta: 11:50:30 time: 0.8454 data_time: 0.0313 memory: 21548 grad_norm: 3.9988 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9652 loss: 0.9652 2022/08/01 13:05:22 - mmengine - INFO - Epoch(train) [50][840/940] lr: 1.0000e-03 eta: 11:50:11 time: 0.8464 data_time: 0.0432 memory: 21548 grad_norm: 4.0945 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9157 loss: 0.9157 2022/08/01 13:05:40 - mmengine - INFO - Epoch(train) [50][860/940] lr: 1.0000e-03 eta: 11:49:52 time: 0.8554 data_time: 0.0376 memory: 21548 grad_norm: 3.9892 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8668 loss: 0.8668 2022/08/01 13:05:57 - mmengine - INFO - Epoch(train) [50][880/940] lr: 1.0000e-03 eta: 11:49:33 time: 0.8389 data_time: 0.0406 memory: 21548 grad_norm: 3.9784 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8385 loss: 0.8385 2022/08/01 13:06:13 - mmengine - INFO - Epoch(train) [50][900/940] lr: 1.0000e-03 eta: 11:49:13 time: 0.8266 data_time: 0.0441 memory: 21548 grad_norm: 4.1365 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8857 loss: 0.8857 2022/08/01 13:06:30 - mmengine - INFO - Epoch(train) [50][920/940] lr: 1.0000e-03 eta: 11:48:54 time: 0.8606 data_time: 0.0425 memory: 21548 grad_norm: 4.0582 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8372 loss: 0.8372 2022/08/01 13:06:44 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 13:06:44 - mmengine - INFO - Epoch(train) [50][940/940] lr: 1.0000e-03 eta: 11:48:32 time: 0.6939 data_time: 0.0279 memory: 21548 grad_norm: 4.4271 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 0.9015 loss: 0.9015 2022/08/01 13:07:04 - mmengine - INFO - Epoch(val) [50][20/78] eta: 0:00:58 time: 1.0061 data_time: 0.8801 memory: 3271 2022/08/01 13:07:18 - mmengine - INFO - Epoch(val) [50][40/78] eta: 0:00:26 time: 0.7082 data_time: 0.5836 memory: 3271 2022/08/01 13:07:38 - mmengine - INFO - Epoch(val) [50][60/78] eta: 0:00:17 time: 0.9587 data_time: 0.8352 memory: 3271 2022/08/01 13:07:52 - mmengine - INFO - Epoch(val) [50][78/78] acc/top1: 0.7150 acc/top5: 0.8992 acc/mean1: 0.7149 2022/08/01 13:08:16 - mmengine - INFO - Epoch(train) [51][20/940] lr: 1.0000e-03 eta: 11:48:19 time: 1.1851 data_time: 0.7366 memory: 21548 grad_norm: 4.0096 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.8833 loss: 0.8833 2022/08/01 13:08:31 - mmengine - INFO - Epoch(train) [51][40/940] lr: 1.0000e-03 eta: 11:47:58 time: 0.7397 data_time: 0.3341 memory: 21548 grad_norm: 3.9960 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7877 loss: 0.7877 2022/08/01 13:08:51 - mmengine - INFO - Epoch(train) [51][60/940] lr: 1.0000e-03 eta: 11:47:42 time: 0.9966 data_time: 0.5619 memory: 21548 grad_norm: 4.0702 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8543 loss: 0.8543 2022/08/01 13:09:06 - mmengine - INFO - Epoch(train) [51][80/940] lr: 1.0000e-03 eta: 11:47:21 time: 0.7896 data_time: 0.3874 memory: 21548 grad_norm: 4.0754 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7773 loss: 0.7773 2022/08/01 13:09:25 - mmengine - INFO - Epoch(train) [51][100/940] lr: 1.0000e-03 eta: 11:47:04 time: 0.9363 data_time: 0.5169 memory: 21548 grad_norm: 4.0613 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9343 loss: 0.9343 2022/08/01 13:09:40 - mmengine - INFO - Epoch(train) [51][120/940] lr: 1.0000e-03 eta: 11:46:43 time: 0.7446 data_time: 0.3347 memory: 21548 grad_norm: 4.0446 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9194 loss: 0.9194 2022/08/01 13:09:59 - mmengine - INFO - Epoch(train) [51][140/940] lr: 1.0000e-03 eta: 11:46:26 time: 0.9584 data_time: 0.5286 memory: 21548 grad_norm: 4.1722 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8930 loss: 0.8930 2022/08/01 13:10:16 - mmengine - INFO - Epoch(train) [51][160/940] lr: 1.0000e-03 eta: 11:46:06 time: 0.8234 data_time: 0.3952 memory: 21548 grad_norm: 4.0643 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8820 loss: 0.8820 2022/08/01 13:10:34 - mmengine - INFO - Epoch(train) [51][180/940] lr: 1.0000e-03 eta: 11:45:48 time: 0.9360 data_time: 0.5047 memory: 21548 grad_norm: 3.9869 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8317 loss: 0.8317 2022/08/01 13:10:50 - mmengine - INFO - Epoch(train) [51][200/940] lr: 1.0000e-03 eta: 11:45:28 time: 0.7678 data_time: 0.3533 memory: 21548 grad_norm: 4.1270 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8177 loss: 0.8177 2022/08/01 13:11:10 - mmengine - INFO - Epoch(train) [51][220/940] lr: 1.0000e-03 eta: 11:45:11 time: 0.9972 data_time: 0.5520 memory: 21548 grad_norm: 4.0802 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8969 loss: 0.8969 2022/08/01 13:11:24 - mmengine - INFO - Epoch(train) [51][240/940] lr: 1.0000e-03 eta: 11:44:50 time: 0.7393 data_time: 0.3290 memory: 21548 grad_norm: 4.1147 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8288 loss: 0.8288 2022/08/01 13:11:43 - mmengine - INFO - Epoch(train) [51][260/940] lr: 1.0000e-03 eta: 11:44:32 time: 0.9326 data_time: 0.5133 memory: 21548 grad_norm: 4.0351 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8225 loss: 0.8225 2022/08/01 13:11:58 - mmengine - INFO - Epoch(train) [51][280/940] lr: 1.0000e-03 eta: 11:44:12 time: 0.7641 data_time: 0.3427 memory: 21548 grad_norm: 4.0407 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9355 loss: 0.9355 2022/08/01 13:12:17 - mmengine - INFO - Epoch(train) [51][300/940] lr: 1.0000e-03 eta: 11:43:54 time: 0.9407 data_time: 0.5223 memory: 21548 grad_norm: 3.9820 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7816 loss: 0.7816 2022/08/01 13:12:33 - mmengine - INFO - Epoch(train) [51][320/940] lr: 1.0000e-03 eta: 11:43:34 time: 0.7803 data_time: 0.3558 memory: 21548 grad_norm: 4.1362 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8181 loss: 0.8181 2022/08/01 13:12:52 - mmengine - INFO - Epoch(train) [51][340/940] lr: 1.0000e-03 eta: 11:43:17 time: 0.9598 data_time: 0.5323 memory: 21548 grad_norm: 4.1881 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8638 loss: 0.8638 2022/08/01 13:13:07 - mmengine - INFO - Epoch(train) [51][360/940] lr: 1.0000e-03 eta: 11:42:56 time: 0.7600 data_time: 0.3462 memory: 21548 grad_norm: 4.0370 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9176 loss: 0.9176 2022/08/01 13:13:26 - mmengine - INFO - Epoch(train) [51][380/940] lr: 1.0000e-03 eta: 11:42:38 time: 0.9184 data_time: 0.4461 memory: 21548 grad_norm: 4.0540 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.8366 loss: 0.8366 2022/08/01 13:13:41 - mmengine - INFO - Epoch(train) [51][400/940] lr: 1.0000e-03 eta: 11:42:17 time: 0.7805 data_time: 0.2172 memory: 21548 grad_norm: 4.0926 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7265 loss: 0.7265 2022/08/01 13:14:02 - mmengine - INFO - Epoch(train) [51][420/940] lr: 1.0000e-03 eta: 11:42:02 time: 1.0585 data_time: 0.1498 memory: 21548 grad_norm: 4.3000 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8366 loss: 0.8366 2022/08/01 13:14:19 - mmengine - INFO - Epoch(train) [51][440/940] lr: 1.0000e-03 eta: 11:41:42 time: 0.8147 data_time: 0.0256 memory: 21548 grad_norm: 4.0998 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9300 loss: 0.9300 2022/08/01 13:14:46 - mmengine - INFO - Epoch(train) [51][460/940] lr: 1.0000e-03 eta: 11:41:34 time: 1.3752 data_time: 0.0308 memory: 21548 grad_norm: 4.1347 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9181 loss: 0.9181 2022/08/01 13:15:06 - mmengine - INFO - Epoch(train) [51][480/940] lr: 1.0000e-03 eta: 11:41:17 time: 0.9743 data_time: 0.0305 memory: 21548 grad_norm: 4.0727 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9358 loss: 0.9358 2022/08/01 13:15:28 - mmengine - INFO - Epoch(train) [51][500/940] lr: 1.0000e-03 eta: 11:41:03 time: 1.0935 data_time: 0.0294 memory: 21548 grad_norm: 4.1197 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8417 loss: 0.8417 2022/08/01 13:15:44 - mmengine - INFO - Epoch(train) [51][520/940] lr: 1.0000e-03 eta: 11:40:43 time: 0.8246 data_time: 0.0450 memory: 21548 grad_norm: 4.1310 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.9356 loss: 0.9356 2022/08/01 13:16:08 - mmengine - INFO - Epoch(train) [51][540/940] lr: 1.0000e-03 eta: 11:40:30 time: 1.1807 data_time: 0.0347 memory: 21548 grad_norm: 4.1652 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8693 loss: 0.8693 2022/08/01 13:16:25 - mmengine - INFO - Epoch(train) [51][560/940] lr: 1.0000e-03 eta: 11:40:11 time: 0.8578 data_time: 0.0328 memory: 21548 grad_norm: 4.0782 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.7189 loss: 0.7189 2022/08/01 13:16:47 - mmengine - INFO - Epoch(train) [51][580/940] lr: 1.0000e-03 eta: 11:39:57 time: 1.0912 data_time: 0.0372 memory: 21548 grad_norm: 4.0938 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8757 loss: 0.8757 2022/08/01 13:17:02 - mmengine - INFO - Epoch(train) [51][600/940] lr: 1.0000e-03 eta: 11:39:36 time: 0.7538 data_time: 0.0340 memory: 21548 grad_norm: 4.0168 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9390 loss: 0.9390 2022/08/01 13:17:21 - mmengine - INFO - Epoch(train) [51][620/940] lr: 1.0000e-03 eta: 11:39:19 time: 0.9588 data_time: 0.0398 memory: 21548 grad_norm: 4.0519 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7991 loss: 0.7991 2022/08/01 13:17:36 - mmengine - INFO - Epoch(train) [51][640/940] lr: 1.0000e-03 eta: 11:38:58 time: 0.7509 data_time: 0.0412 memory: 21548 grad_norm: 4.0424 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8446 loss: 0.8446 2022/08/01 13:17:54 - mmengine - INFO - Epoch(train) [51][660/940] lr: 1.0000e-03 eta: 11:38:40 time: 0.9092 data_time: 0.0341 memory: 21548 grad_norm: 4.0744 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.9580 loss: 0.9580 2022/08/01 13:18:09 - mmengine - INFO - Epoch(train) [51][680/940] lr: 1.0000e-03 eta: 11:38:19 time: 0.7575 data_time: 0.0421 memory: 21548 grad_norm: 4.0519 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7692 loss: 0.7692 2022/08/01 13:18:27 - mmengine - INFO - Epoch(train) [51][700/940] lr: 1.0000e-03 eta: 11:38:01 time: 0.9099 data_time: 0.0364 memory: 21548 grad_norm: 4.1466 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9385 loss: 0.9385 2022/08/01 13:18:43 - mmengine - INFO - Epoch(train) [51][720/940] lr: 1.0000e-03 eta: 11:37:40 time: 0.7651 data_time: 0.0409 memory: 21548 grad_norm: 3.9680 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7968 loss: 0.7968 2022/08/01 13:19:01 - mmengine - INFO - Epoch(train) [51][740/940] lr: 1.0000e-03 eta: 11:37:22 time: 0.9251 data_time: 0.0354 memory: 21548 grad_norm: 4.0976 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9382 loss: 0.9382 2022/08/01 13:19:16 - mmengine - INFO - Epoch(train) [51][760/940] lr: 1.0000e-03 eta: 11:37:01 time: 0.7423 data_time: 0.0402 memory: 21548 grad_norm: 4.0579 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8259 loss: 0.8259 2022/08/01 13:19:36 - mmengine - INFO - Epoch(train) [51][780/940] lr: 1.0000e-03 eta: 11:36:44 time: 0.9783 data_time: 0.0346 memory: 21548 grad_norm: 4.0948 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9331 loss: 0.9331 2022/08/01 13:19:52 - mmengine - INFO - Epoch(train) [51][800/940] lr: 1.0000e-03 eta: 11:36:24 time: 0.7920 data_time: 0.0349 memory: 21548 grad_norm: 4.1502 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9692 loss: 0.9692 2022/08/01 13:20:10 - mmengine - INFO - Epoch(train) [51][820/940] lr: 1.0000e-03 eta: 11:36:06 time: 0.9349 data_time: 0.0332 memory: 21548 grad_norm: 4.2316 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8343 loss: 0.8343 2022/08/01 13:20:26 - mmengine - INFO - Epoch(train) [51][840/940] lr: 1.0000e-03 eta: 11:35:46 time: 0.8063 data_time: 0.0369 memory: 21548 grad_norm: 4.1158 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8463 loss: 0.8463 2022/08/01 13:20:44 - mmengine - INFO - Epoch(train) [51][860/940] lr: 1.0000e-03 eta: 11:35:28 time: 0.8887 data_time: 0.0355 memory: 21548 grad_norm: 4.0708 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9086 loss: 0.9086 2022/08/01 13:20:59 - mmengine - INFO - Epoch(train) [51][880/940] lr: 1.0000e-03 eta: 11:35:07 time: 0.7666 data_time: 0.0379 memory: 21548 grad_norm: 4.0310 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8736 loss: 0.8736 2022/08/01 13:21:18 - mmengine - INFO - Epoch(train) [51][900/940] lr: 1.0000e-03 eta: 11:34:49 time: 0.9088 data_time: 0.0359 memory: 21548 grad_norm: 4.0290 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8894 loss: 0.8894 2022/08/01 13:21:34 - mmengine - INFO - Epoch(train) [51][920/940] lr: 1.0000e-03 eta: 11:34:29 time: 0.7968 data_time: 0.0759 memory: 21548 grad_norm: 4.1336 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9034 loss: 0.9034 2022/08/01 13:22:00 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 13:22:00 - mmengine - INFO - Epoch(train) [51][940/940] lr: 1.0000e-03 eta: 11:34:19 time: 1.3294 data_time: 0.0544 memory: 21548 grad_norm: 4.4564 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8287 loss: 0.8287 2022/08/01 13:22:00 - mmengine - INFO - Saving checkpoint at 51 epochs 2022/08/01 13:22:32 - mmengine - INFO - Epoch(val) [51][20/78] eta: 0:01:27 time: 1.5021 data_time: 1.3892 memory: 3271 2022/08/01 13:22:50 - mmengine - INFO - Epoch(val) [51][40/78] eta: 0:00:34 time: 0.9008 data_time: 0.7798 memory: 3271 2022/08/01 13:23:03 - mmengine - INFO - Epoch(val) [51][60/78] eta: 0:00:11 time: 0.6518 data_time: 0.5306 memory: 3271 2022/08/01 13:23:21 - mmengine - INFO - Epoch(val) [51][78/78] acc/top1: 0.7136 acc/top5: 0.8989 acc/mean1: 0.7135 2022/08/01 13:23:44 - mmengine - INFO - Epoch(train) [52][20/940] lr: 1.0000e-03 eta: 11:34:06 time: 1.1493 data_time: 0.6428 memory: 21548 grad_norm: 4.0675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8916 loss: 0.8916 2022/08/01 13:23:59 - mmengine - INFO - Epoch(train) [52][40/940] lr: 1.0000e-03 eta: 11:33:45 time: 0.7465 data_time: 0.3001 memory: 21548 grad_norm: 3.9753 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8035 loss: 0.8035 2022/08/01 13:24:19 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 13:24:19 - mmengine - INFO - Epoch(train) [52][60/940] lr: 1.0000e-03 eta: 11:33:28 time: 0.9680 data_time: 0.3849 memory: 21548 grad_norm: 4.0168 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9143 loss: 0.9143 2022/08/01 13:24:34 - mmengine - INFO - Epoch(train) [52][80/940] lr: 1.0000e-03 eta: 11:33:07 time: 0.7517 data_time: 0.1549 memory: 21548 grad_norm: 3.9811 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8056 loss: 0.8056 2022/08/01 13:24:53 - mmengine - INFO - Epoch(train) [52][100/940] lr: 1.0000e-03 eta: 11:32:50 time: 0.9490 data_time: 0.1344 memory: 21548 grad_norm: 4.0922 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8665 loss: 0.8665 2022/08/01 13:25:08 - mmengine - INFO - Epoch(train) [52][120/940] lr: 1.0000e-03 eta: 11:32:29 time: 0.7823 data_time: 0.0302 memory: 21548 grad_norm: 4.0472 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.9467 loss: 0.9467 2022/08/01 13:25:27 - mmengine - INFO - Epoch(train) [52][140/940] lr: 1.0000e-03 eta: 11:32:12 time: 0.9456 data_time: 0.0539 memory: 21548 grad_norm: 4.0738 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8815 loss: 0.8815 2022/08/01 13:25:43 - mmengine - INFO - Epoch(train) [52][160/940] lr: 1.0000e-03 eta: 11:31:52 time: 0.8067 data_time: 0.0519 memory: 21548 grad_norm: 4.1420 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8932 loss: 0.8932 2022/08/01 13:26:03 - mmengine - INFO - Epoch(train) [52][180/940] lr: 1.0000e-03 eta: 11:31:35 time: 0.9724 data_time: 0.0390 memory: 21548 grad_norm: 4.0704 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9004 loss: 0.9004 2022/08/01 13:26:18 - mmengine - INFO - Epoch(train) [52][200/940] lr: 1.0000e-03 eta: 11:31:14 time: 0.7610 data_time: 0.0312 memory: 21548 grad_norm: 4.0648 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9456 loss: 0.9456 2022/08/01 13:26:37 - mmengine - INFO - Epoch(train) [52][220/940] lr: 1.0000e-03 eta: 11:30:57 time: 0.9616 data_time: 0.0370 memory: 21548 grad_norm: 4.0621 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.8193 loss: 0.8193 2022/08/01 13:26:52 - mmengine - INFO - Epoch(train) [52][240/940] lr: 1.0000e-03 eta: 11:30:36 time: 0.7371 data_time: 0.0357 memory: 21548 grad_norm: 4.1727 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9207 loss: 0.9207 2022/08/01 13:27:11 - mmengine - INFO - Epoch(train) [52][260/940] lr: 1.0000e-03 eta: 11:30:19 time: 0.9513 data_time: 0.0401 memory: 21548 grad_norm: 4.1446 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7713 loss: 0.7713 2022/08/01 13:27:26 - mmengine - INFO - Epoch(train) [52][280/940] lr: 1.0000e-03 eta: 11:29:58 time: 0.7633 data_time: 0.0306 memory: 21548 grad_norm: 4.0943 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8595 loss: 0.8595 2022/08/01 13:27:46 - mmengine - INFO - Epoch(train) [52][300/940] lr: 1.0000e-03 eta: 11:29:41 time: 0.9693 data_time: 0.0420 memory: 21548 grad_norm: 3.9784 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8817 loss: 0.8817 2022/08/01 13:28:02 - mmengine - INFO - Epoch(train) [52][320/940] lr: 1.0000e-03 eta: 11:29:21 time: 0.8042 data_time: 0.0315 memory: 21548 grad_norm: 4.1741 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9604 loss: 0.9604 2022/08/01 13:28:21 - mmengine - INFO - Epoch(train) [52][340/940] lr: 1.0000e-03 eta: 11:29:04 time: 0.9605 data_time: 0.0387 memory: 21548 grad_norm: 4.1844 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9800 loss: 0.9800 2022/08/01 13:28:37 - mmengine - INFO - Epoch(train) [52][360/940] lr: 1.0000e-03 eta: 11:28:44 time: 0.7889 data_time: 0.0350 memory: 21548 grad_norm: 4.1197 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8614 loss: 0.8614 2022/08/01 13:28:56 - mmengine - INFO - Epoch(train) [52][380/940] lr: 1.0000e-03 eta: 11:28:27 time: 0.9431 data_time: 0.0375 memory: 21548 grad_norm: 4.1188 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.9642 loss: 0.9642 2022/08/01 13:29:14 - mmengine - INFO - Epoch(train) [52][400/940] lr: 1.0000e-03 eta: 11:28:08 time: 0.8891 data_time: 0.0439 memory: 21548 grad_norm: 4.1624 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8920 loss: 0.8920 2022/08/01 13:29:33 - mmengine - INFO - Epoch(train) [52][420/940] lr: 1.0000e-03 eta: 11:27:52 time: 0.9776 data_time: 0.0292 memory: 21548 grad_norm: 4.1469 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8740 loss: 0.8740 2022/08/01 13:29:54 - mmengine - INFO - Epoch(train) [52][440/940] lr: 1.0000e-03 eta: 11:27:37 time: 1.0652 data_time: 0.0266 memory: 21548 grad_norm: 4.1088 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8376 loss: 0.8376 2022/08/01 13:30:16 - mmengine - INFO - Epoch(train) [52][460/940] lr: 1.0000e-03 eta: 11:27:22 time: 1.0893 data_time: 0.0371 memory: 21548 grad_norm: 4.1353 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8555 loss: 0.8555 2022/08/01 13:30:33 - mmengine - INFO - Epoch(train) [52][480/940] lr: 1.0000e-03 eta: 11:27:03 time: 0.8621 data_time: 0.0413 memory: 21548 grad_norm: 4.2352 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9256 loss: 0.9256 2022/08/01 13:30:50 - mmengine - INFO - Epoch(train) [52][500/940] lr: 1.0000e-03 eta: 11:26:44 time: 0.8366 data_time: 0.0336 memory: 21548 grad_norm: 4.0362 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9036 loss: 0.9036 2022/08/01 13:31:08 - mmengine - INFO - Epoch(train) [52][520/940] lr: 1.0000e-03 eta: 11:26:25 time: 0.8764 data_time: 0.0368 memory: 21548 grad_norm: 4.1727 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8638 loss: 0.8638 2022/08/01 13:31:25 - mmengine - INFO - Epoch(train) [52][540/940] lr: 1.0000e-03 eta: 11:26:06 time: 0.8679 data_time: 0.0409 memory: 21548 grad_norm: 4.0939 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8351 loss: 0.8351 2022/08/01 13:31:41 - mmengine - INFO - Epoch(train) [52][560/940] lr: 1.0000e-03 eta: 11:25:46 time: 0.7916 data_time: 0.0373 memory: 21548 grad_norm: 4.0872 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9216 loss: 0.9216 2022/08/01 13:31:58 - mmengine - INFO - Epoch(train) [52][580/940] lr: 1.0000e-03 eta: 11:25:27 time: 0.8780 data_time: 0.0345 memory: 21548 grad_norm: 4.1789 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.9178 loss: 0.9178 2022/08/01 13:32:16 - mmengine - INFO - Epoch(train) [52][600/940] lr: 1.0000e-03 eta: 11:25:09 time: 0.8820 data_time: 0.0456 memory: 21548 grad_norm: 3.9502 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.8909 loss: 0.8909 2022/08/01 13:32:32 - mmengine - INFO - Epoch(train) [52][620/940] lr: 1.0000e-03 eta: 11:24:49 time: 0.7859 data_time: 0.0413 memory: 21548 grad_norm: 3.9472 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7712 loss: 0.7712 2022/08/01 13:32:50 - mmengine - INFO - Epoch(train) [52][640/940] lr: 1.0000e-03 eta: 11:24:30 time: 0.8906 data_time: 0.0383 memory: 21548 grad_norm: 4.2816 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8795 loss: 0.8795 2022/08/01 13:33:07 - mmengine - INFO - Epoch(train) [52][660/940] lr: 1.0000e-03 eta: 11:24:11 time: 0.8510 data_time: 0.0337 memory: 21548 grad_norm: 3.9252 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7890 loss: 0.7890 2022/08/01 13:33:25 - mmengine - INFO - Epoch(train) [52][680/940] lr: 1.0000e-03 eta: 11:23:53 time: 0.8817 data_time: 0.0427 memory: 21548 grad_norm: 4.1732 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8790 loss: 0.8790 2022/08/01 13:33:40 - mmengine - INFO - Epoch(train) [52][700/940] lr: 1.0000e-03 eta: 11:23:33 time: 0.8062 data_time: 0.0445 memory: 21548 grad_norm: 4.1490 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8730 loss: 0.8730 2022/08/01 13:33:58 - mmengine - INFO - Epoch(train) [52][720/940] lr: 1.0000e-03 eta: 11:23:15 time: 0.8975 data_time: 0.0369 memory: 21548 grad_norm: 4.0987 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9474 loss: 0.9474 2022/08/01 13:34:14 - mmengine - INFO - Epoch(train) [52][740/940] lr: 1.0000e-03 eta: 11:22:54 time: 0.7848 data_time: 0.0334 memory: 21548 grad_norm: 4.0738 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8641 loss: 0.8641 2022/08/01 13:34:32 - mmengine - INFO - Epoch(train) [52][760/940] lr: 1.0000e-03 eta: 11:22:36 time: 0.8882 data_time: 0.0490 memory: 21548 grad_norm: 4.2568 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8943 loss: 0.8943 2022/08/01 13:34:48 - mmengine - INFO - Epoch(train) [52][780/940] lr: 1.0000e-03 eta: 11:22:16 time: 0.8205 data_time: 0.0895 memory: 21548 grad_norm: 4.2792 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0163 loss: 1.0163 2022/08/01 13:35:13 - mmengine - INFO - Epoch(train) [52][800/940] lr: 1.0000e-03 eta: 11:22:04 time: 1.2275 data_time: 0.1124 memory: 21548 grad_norm: 4.1101 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.8800 loss: 0.8800 2022/08/01 13:35:45 - mmengine - INFO - Epoch(train) [52][820/940] lr: 1.0000e-03 eta: 11:21:59 time: 1.6056 data_time: 0.3935 memory: 21548 grad_norm: 4.0555 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9427 loss: 0.9427 2022/08/01 13:36:08 - mmengine - INFO - Epoch(train) [52][840/940] lr: 1.0000e-03 eta: 11:21:46 time: 1.1573 data_time: 0.0261 memory: 21548 grad_norm: 4.0182 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8631 loss: 0.8631 2022/08/01 13:36:28 - mmengine - INFO - Epoch(train) [52][860/940] lr: 1.0000e-03 eta: 11:21:29 time: 0.9710 data_time: 0.0489 memory: 21548 grad_norm: 3.9678 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8619 loss: 0.8619 2022/08/01 13:36:42 - mmengine - INFO - Epoch(train) [52][880/940] lr: 1.0000e-03 eta: 11:21:08 time: 0.7328 data_time: 0.0352 memory: 21548 grad_norm: 4.1163 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.8560 loss: 0.8560 2022/08/01 13:37:00 - mmengine - INFO - Epoch(train) [52][900/940] lr: 1.0000e-03 eta: 11:20:49 time: 0.8652 data_time: 0.0367 memory: 21548 grad_norm: 4.1771 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9226 loss: 0.9226 2022/08/01 13:37:14 - mmengine - INFO - Epoch(train) [52][920/940] lr: 1.0000e-03 eta: 11:20:28 time: 0.7453 data_time: 0.0339 memory: 21548 grad_norm: 4.0884 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9360 loss: 0.9360 2022/08/01 13:37:30 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 13:37:30 - mmengine - INFO - Epoch(train) [52][940/940] lr: 1.0000e-03 eta: 11:20:08 time: 0.8016 data_time: 0.0278 memory: 21548 grad_norm: 4.4456 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.0014 loss: 1.0014 2022/08/01 13:37:52 - mmengine - INFO - Epoch(val) [52][20/78] eta: 0:01:01 time: 1.0597 data_time: 0.9339 memory: 3271 2022/08/01 13:38:06 - mmengine - INFO - Epoch(val) [52][40/78] eta: 0:00:27 time: 0.7122 data_time: 0.5897 memory: 3271 2022/08/01 13:38:25 - mmengine - INFO - Epoch(val) [52][60/78] eta: 0:00:16 time: 0.9310 data_time: 0.8045 memory: 3271 2022/08/01 13:38:40 - mmengine - INFO - Epoch(val) [52][78/78] acc/top1: 0.7148 acc/top5: 0.8992 acc/mean1: 0.7147 2022/08/01 13:39:02 - mmengine - INFO - Epoch(train) [53][20/940] lr: 1.0000e-03 eta: 11:19:53 time: 1.1038 data_time: 0.5918 memory: 21548 grad_norm: 4.0209 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7598 loss: 0.7598 2022/08/01 13:39:17 - mmengine - INFO - Epoch(train) [53][40/940] lr: 1.0000e-03 eta: 11:19:33 time: 0.7611 data_time: 0.2295 memory: 21548 grad_norm: 3.9477 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8577 loss: 0.8577 2022/08/01 13:39:36 - mmengine - INFO - Epoch(train) [53][60/940] lr: 1.0000e-03 eta: 11:19:15 time: 0.9456 data_time: 0.4509 memory: 21548 grad_norm: 4.1223 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.8766 loss: 0.8766 2022/08/01 13:39:52 - mmengine - INFO - Epoch(train) [53][80/940] lr: 1.0000e-03 eta: 11:18:55 time: 0.7791 data_time: 0.3405 memory: 21548 grad_norm: 4.1068 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7825 loss: 0.7825 2022/08/01 13:40:12 - mmengine - INFO - Epoch(train) [53][100/940] lr: 1.0000e-03 eta: 11:18:38 time: 0.9842 data_time: 0.5490 memory: 21548 grad_norm: 4.0994 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 0.9310 loss: 0.9310 2022/08/01 13:40:27 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 13:40:27 - mmengine - INFO - Epoch(train) [53][120/940] lr: 1.0000e-03 eta: 11:18:17 time: 0.7553 data_time: 0.3156 memory: 21548 grad_norm: 4.1928 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9123 loss: 0.9123 2022/08/01 13:40:45 - mmengine - INFO - Epoch(train) [53][140/940] lr: 1.0000e-03 eta: 11:18:00 time: 0.9242 data_time: 0.4323 memory: 21548 grad_norm: 4.0402 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8468 loss: 0.8468 2022/08/01 13:41:01 - mmengine - INFO - Epoch(train) [53][160/940] lr: 1.0000e-03 eta: 11:17:40 time: 0.7882 data_time: 0.3242 memory: 21548 grad_norm: 4.1501 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7321 loss: 0.7321 2022/08/01 13:41:19 - mmengine - INFO - Epoch(train) [53][180/940] lr: 1.0000e-03 eta: 11:17:22 time: 0.9115 data_time: 0.2718 memory: 21548 grad_norm: 4.1383 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8343 loss: 0.8343 2022/08/01 13:41:39 - mmengine - INFO - Epoch(train) [53][200/940] lr: 1.0000e-03 eta: 11:17:05 time: 0.9721 data_time: 0.1570 memory: 21548 grad_norm: 4.1162 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8072 loss: 0.8072 2022/08/01 13:41:58 - mmengine - INFO - Epoch(train) [53][220/940] lr: 1.0000e-03 eta: 11:16:47 time: 0.9503 data_time: 0.0376 memory: 21548 grad_norm: 4.0740 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8490 loss: 0.8490 2022/08/01 13:42:12 - mmengine - INFO - Epoch(train) [53][240/940] lr: 1.0000e-03 eta: 11:16:26 time: 0.7147 data_time: 0.0412 memory: 21548 grad_norm: 4.0604 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8544 loss: 0.8544 2022/08/01 13:42:31 - mmengine - INFO - Epoch(train) [53][260/940] lr: 1.0000e-03 eta: 11:16:08 time: 0.9337 data_time: 0.0371 memory: 21548 grad_norm: 4.1180 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9163 loss: 0.9163 2022/08/01 13:42:46 - mmengine - INFO - Epoch(train) [53][280/940] lr: 1.0000e-03 eta: 11:15:48 time: 0.7540 data_time: 0.0467 memory: 21548 grad_norm: 4.0958 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9558 loss: 0.9558 2022/08/01 13:43:03 - mmengine - INFO - Epoch(train) [53][300/940] lr: 1.0000e-03 eta: 11:15:29 time: 0.8842 data_time: 0.0474 memory: 21548 grad_norm: 4.0573 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8919 loss: 0.8919 2022/08/01 13:43:19 - mmengine - INFO - Epoch(train) [53][320/940] lr: 1.0000e-03 eta: 11:15:09 time: 0.7972 data_time: 0.0497 memory: 21548 grad_norm: 4.1258 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8696 loss: 0.8696 2022/08/01 13:43:38 - mmengine - INFO - Epoch(train) [53][340/940] lr: 1.0000e-03 eta: 11:14:52 time: 0.9417 data_time: 0.0573 memory: 21548 grad_norm: 4.1373 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 0.9504 loss: 0.9504 2022/08/01 13:43:54 - mmengine - INFO - Epoch(train) [53][360/940] lr: 1.0000e-03 eta: 11:14:31 time: 0.7696 data_time: 0.0455 memory: 21548 grad_norm: 4.0886 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8340 loss: 0.8340 2022/08/01 13:44:11 - mmengine - INFO - Epoch(train) [53][380/940] lr: 1.0000e-03 eta: 11:14:13 time: 0.8849 data_time: 0.0369 memory: 21548 grad_norm: 4.1723 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8735 loss: 0.8735 2022/08/01 13:44:29 - mmengine - INFO - Epoch(train) [53][400/940] lr: 1.0000e-03 eta: 11:13:54 time: 0.8705 data_time: 0.0367 memory: 21548 grad_norm: 4.1484 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8470 loss: 0.8470 2022/08/01 13:44:46 - mmengine - INFO - Epoch(train) [53][420/940] lr: 1.0000e-03 eta: 11:13:35 time: 0.8583 data_time: 0.0345 memory: 21548 grad_norm: 4.2079 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8511 loss: 0.8511 2022/08/01 13:45:03 - mmengine - INFO - Epoch(train) [53][440/940] lr: 1.0000e-03 eta: 11:13:16 time: 0.8475 data_time: 0.0348 memory: 21548 grad_norm: 4.0558 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.7819 loss: 0.7819 2022/08/01 13:45:20 - mmengine - INFO - Epoch(train) [53][460/940] lr: 1.0000e-03 eta: 11:12:57 time: 0.8404 data_time: 0.0351 memory: 21548 grad_norm: 4.0187 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7918 loss: 0.7918 2022/08/01 13:45:38 - mmengine - INFO - Epoch(train) [53][480/940] lr: 1.0000e-03 eta: 11:12:39 time: 0.9005 data_time: 0.0387 memory: 21548 grad_norm: 4.1180 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8435 loss: 0.8435 2022/08/01 13:45:56 - mmengine - INFO - Epoch(train) [53][500/940] lr: 1.0000e-03 eta: 11:12:21 time: 0.9275 data_time: 0.0362 memory: 21548 grad_norm: 4.1778 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.8500 loss: 0.8500 2022/08/01 13:46:12 - mmengine - INFO - Epoch(train) [53][520/940] lr: 1.0000e-03 eta: 11:12:00 time: 0.7659 data_time: 0.0385 memory: 21548 grad_norm: 4.0787 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.8641 loss: 0.8641 2022/08/01 13:46:31 - mmengine - INFO - Epoch(train) [53][540/940] lr: 1.0000e-03 eta: 11:11:43 time: 0.9438 data_time: 0.0363 memory: 21548 grad_norm: 3.9939 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8472 loss: 0.8472 2022/08/01 13:46:45 - mmengine - INFO - Epoch(train) [53][560/940] lr: 1.0000e-03 eta: 11:11:22 time: 0.7515 data_time: 0.0431 memory: 21548 grad_norm: 4.0343 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8471 loss: 0.8471 2022/08/01 13:47:05 - mmengine - INFO - Epoch(train) [53][580/940] lr: 1.0000e-03 eta: 11:11:05 time: 0.9681 data_time: 0.0318 memory: 21548 grad_norm: 4.1706 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8927 loss: 0.8927 2022/08/01 13:47:21 - mmengine - INFO - Epoch(train) [53][600/940] lr: 1.0000e-03 eta: 11:10:45 time: 0.7947 data_time: 0.0348 memory: 21548 grad_norm: 4.1732 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8882 loss: 0.8882 2022/08/01 13:47:39 - mmengine - INFO - Epoch(train) [53][620/940] lr: 1.0000e-03 eta: 11:10:28 time: 0.9371 data_time: 0.0327 memory: 21548 grad_norm: 4.0685 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9209 loss: 0.9209 2022/08/01 13:47:56 - mmengine - INFO - Epoch(train) [53][640/940] lr: 1.0000e-03 eta: 11:10:08 time: 0.8067 data_time: 0.0405 memory: 21548 grad_norm: 4.2241 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9375 loss: 0.9375 2022/08/01 13:48:14 - mmengine - INFO - Epoch(train) [53][660/940] lr: 1.0000e-03 eta: 11:09:50 time: 0.9092 data_time: 0.0470 memory: 21548 grad_norm: 4.1417 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8872 loss: 0.8872 2022/08/01 13:48:29 - mmengine - INFO - Epoch(train) [53][680/940] lr: 1.0000e-03 eta: 11:09:29 time: 0.7552 data_time: 0.0393 memory: 21548 grad_norm: 4.1397 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8610 loss: 0.8610 2022/08/01 13:48:48 - mmengine - INFO - Epoch(train) [53][700/940] lr: 1.0000e-03 eta: 11:09:12 time: 0.9577 data_time: 0.0366 memory: 21548 grad_norm: 4.0611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8964 loss: 0.8964 2022/08/01 13:49:04 - mmengine - INFO - Epoch(train) [53][720/940] lr: 1.0000e-03 eta: 11:08:52 time: 0.8171 data_time: 0.0407 memory: 21548 grad_norm: 4.0479 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8796 loss: 0.8796 2022/08/01 13:49:23 - mmengine - INFO - Epoch(train) [53][740/940] lr: 1.0000e-03 eta: 11:08:34 time: 0.9077 data_time: 0.0323 memory: 21548 grad_norm: 4.1566 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9169 loss: 0.9169 2022/08/01 13:49:39 - mmengine - INFO - Epoch(train) [53][760/940] lr: 1.0000e-03 eta: 11:08:15 time: 0.8186 data_time: 0.0360 memory: 21548 grad_norm: 4.0860 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8254 loss: 0.8254 2022/08/01 13:49:57 - mmengine - INFO - Epoch(train) [53][780/940] lr: 1.0000e-03 eta: 11:07:57 time: 0.8972 data_time: 0.0349 memory: 21548 grad_norm: 4.1397 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8208 loss: 0.8208 2022/08/01 13:50:13 - mmengine - INFO - Epoch(train) [53][800/940] lr: 1.0000e-03 eta: 11:07:36 time: 0.7822 data_time: 0.0357 memory: 21548 grad_norm: 4.0980 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7551 loss: 0.7551 2022/08/01 13:50:30 - mmengine - INFO - Epoch(train) [53][820/940] lr: 1.0000e-03 eta: 11:07:18 time: 0.8653 data_time: 0.0366 memory: 21548 grad_norm: 4.1199 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8806 loss: 0.8806 2022/08/01 13:50:46 - mmengine - INFO - Epoch(train) [53][840/940] lr: 1.0000e-03 eta: 11:06:58 time: 0.8069 data_time: 0.0500 memory: 21548 grad_norm: 4.1727 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0017 loss: 1.0017 2022/08/01 13:51:05 - mmengine - INFO - Epoch(train) [53][860/940] lr: 1.0000e-03 eta: 11:06:41 time: 0.9739 data_time: 0.0329 memory: 21548 grad_norm: 4.1075 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9004 loss: 0.9004 2022/08/01 13:51:21 - mmengine - INFO - Epoch(train) [53][880/940] lr: 1.0000e-03 eta: 11:06:21 time: 0.7967 data_time: 0.0386 memory: 21548 grad_norm: 4.1739 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8403 loss: 0.8403 2022/08/01 13:51:41 - mmengine - INFO - Epoch(train) [53][900/940] lr: 1.0000e-03 eta: 11:06:04 time: 0.9565 data_time: 0.0450 memory: 21548 grad_norm: 4.1255 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8831 loss: 0.8831 2022/08/01 13:51:56 - mmengine - INFO - Epoch(train) [53][920/940] lr: 1.0000e-03 eta: 11:05:43 time: 0.7721 data_time: 0.0315 memory: 21548 grad_norm: 4.0465 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9537 loss: 0.9537 2022/08/01 13:52:12 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 13:52:12 - mmengine - INFO - Epoch(train) [53][940/940] lr: 1.0000e-03 eta: 11:05:23 time: 0.7794 data_time: 0.0273 memory: 21548 grad_norm: 4.4249 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9527 loss: 0.9527 2022/08/01 13:52:32 - mmengine - INFO - Epoch(val) [53][20/78] eta: 0:00:57 time: 0.9992 data_time: 0.8715 memory: 3271 2022/08/01 13:52:46 - mmengine - INFO - Epoch(val) [53][40/78] eta: 0:00:27 time: 0.7117 data_time: 0.5737 memory: 3271 2022/08/01 13:53:05 - mmengine - INFO - Epoch(val) [53][60/78] eta: 0:00:17 time: 0.9658 data_time: 0.8404 memory: 3271 2022/08/01 13:53:20 - mmengine - INFO - Epoch(val) [53][78/78] acc/top1: 0.7153 acc/top5: 0.8998 acc/mean1: 0.7152 2022/08/01 13:53:43 - mmengine - INFO - Epoch(train) [54][20/940] lr: 1.0000e-03 eta: 11:05:09 time: 1.1460 data_time: 0.5646 memory: 21548 grad_norm: 3.9600 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8799 loss: 0.8799 2022/08/01 13:53:59 - mmengine - INFO - Epoch(train) [54][40/940] lr: 1.0000e-03 eta: 11:04:50 time: 0.8123 data_time: 0.1591 memory: 21548 grad_norm: 4.1783 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8072 loss: 0.8072 2022/08/01 13:54:18 - mmengine - INFO - Epoch(train) [54][60/940] lr: 1.0000e-03 eta: 11:04:32 time: 0.9137 data_time: 0.0858 memory: 21548 grad_norm: 4.1958 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9473 loss: 0.9473 2022/08/01 13:54:33 - mmengine - INFO - Epoch(train) [54][80/940] lr: 1.0000e-03 eta: 11:04:11 time: 0.7505 data_time: 0.1828 memory: 21548 grad_norm: 4.0970 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9065 loss: 0.9065 2022/08/01 13:54:53 - mmengine - INFO - Epoch(train) [54][100/940] lr: 1.0000e-03 eta: 11:03:55 time: 0.9951 data_time: 0.1063 memory: 21548 grad_norm: 4.2615 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9129 loss: 0.9129 2022/08/01 13:55:08 - mmengine - INFO - Epoch(train) [54][120/940] lr: 1.0000e-03 eta: 11:03:34 time: 0.7503 data_time: 0.0349 memory: 21548 grad_norm: 4.0568 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8061 loss: 0.8061 2022/08/01 13:55:26 - mmengine - INFO - Epoch(train) [54][140/940] lr: 1.0000e-03 eta: 11:03:16 time: 0.9372 data_time: 0.0411 memory: 21548 grad_norm: 4.0931 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 0.8201 loss: 0.8201 2022/08/01 13:55:41 - mmengine - INFO - Epoch(train) [54][160/940] lr: 1.0000e-03 eta: 11:02:56 time: 0.7525 data_time: 0.0463 memory: 21548 grad_norm: 4.1016 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8185 loss: 0.8185 2022/08/01 13:56:01 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 13:56:01 - mmengine - INFO - Epoch(train) [54][180/940] lr: 1.0000e-03 eta: 11:02:39 time: 0.9644 data_time: 0.0373 memory: 21548 grad_norm: 4.1362 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8367 loss: 0.8367 2022/08/01 13:56:16 - mmengine - INFO - Epoch(train) [54][200/940] lr: 1.0000e-03 eta: 11:02:18 time: 0.7553 data_time: 0.0373 memory: 21548 grad_norm: 4.1060 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8618 loss: 0.8618 2022/08/01 13:56:37 - mmengine - INFO - Epoch(train) [54][220/940] lr: 1.0000e-03 eta: 11:02:02 time: 1.0379 data_time: 0.0350 memory: 21548 grad_norm: 4.1246 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8467 loss: 0.8467 2022/08/01 13:56:51 - mmengine - INFO - Epoch(train) [54][240/940] lr: 1.0000e-03 eta: 11:01:41 time: 0.7069 data_time: 0.0364 memory: 21548 grad_norm: 4.1750 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8962 loss: 0.8962 2022/08/01 13:57:10 - mmengine - INFO - Epoch(train) [54][260/940] lr: 1.0000e-03 eta: 11:01:24 time: 0.9691 data_time: 0.0349 memory: 21548 grad_norm: 4.0458 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9911 loss: 0.9911 2022/08/01 13:57:25 - mmengine - INFO - Epoch(train) [54][280/940] lr: 1.0000e-03 eta: 11:01:03 time: 0.7514 data_time: 0.0353 memory: 21548 grad_norm: 4.2174 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9229 loss: 0.9229 2022/08/01 13:57:45 - mmengine - INFO - Epoch(train) [54][300/940] lr: 1.0000e-03 eta: 11:00:46 time: 0.9734 data_time: 0.0362 memory: 21548 grad_norm: 4.0932 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8464 loss: 0.8464 2022/08/01 13:58:00 - mmengine - INFO - Epoch(train) [54][320/940] lr: 1.0000e-03 eta: 11:00:25 time: 0.7419 data_time: 0.0557 memory: 21548 grad_norm: 4.0837 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7964 loss: 0.7964 2022/08/01 13:58:18 - mmengine - INFO - Epoch(train) [54][340/940] lr: 1.0000e-03 eta: 11:00:08 time: 0.9272 data_time: 0.0381 memory: 21548 grad_norm: 4.1288 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8030 loss: 0.8030 2022/08/01 13:58:35 - mmengine - INFO - Epoch(train) [54][360/940] lr: 1.0000e-03 eta: 10:59:48 time: 0.8370 data_time: 0.0350 memory: 21548 grad_norm: 4.2425 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9274 loss: 0.9274 2022/08/01 13:58:53 - mmengine - INFO - Epoch(train) [54][380/940] lr: 1.0000e-03 eta: 10:59:30 time: 0.8857 data_time: 0.0413 memory: 21548 grad_norm: 4.1854 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8993 loss: 0.8993 2022/08/01 13:59:09 - mmengine - INFO - Epoch(train) [54][400/940] lr: 1.0000e-03 eta: 10:59:10 time: 0.8177 data_time: 0.0328 memory: 21548 grad_norm: 4.1143 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8917 loss: 0.8917 2022/08/01 13:59:27 - mmengine - INFO - Epoch(train) [54][420/940] lr: 1.0000e-03 eta: 10:58:52 time: 0.8846 data_time: 0.0380 memory: 21548 grad_norm: 4.1071 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9383 loss: 0.9383 2022/08/01 13:59:43 - mmengine - INFO - Epoch(train) [54][440/940] lr: 1.0000e-03 eta: 10:58:33 time: 0.8353 data_time: 0.0348 memory: 21548 grad_norm: 4.0661 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8669 loss: 0.8669 2022/08/01 14:00:01 - mmengine - INFO - Epoch(train) [54][460/940] lr: 1.0000e-03 eta: 10:58:15 time: 0.9066 data_time: 0.0371 memory: 21548 grad_norm: 4.0753 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9236 loss: 0.9236 2022/08/01 14:00:17 - mmengine - INFO - Epoch(train) [54][480/940] lr: 1.0000e-03 eta: 10:57:54 time: 0.7747 data_time: 0.0402 memory: 21548 grad_norm: 4.1360 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8459 loss: 0.8459 2022/08/01 14:00:36 - mmengine - INFO - Epoch(train) [54][500/940] lr: 1.0000e-03 eta: 10:57:37 time: 0.9679 data_time: 0.0392 memory: 21548 grad_norm: 4.0246 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 0.8846 loss: 0.8846 2022/08/01 14:00:52 - mmengine - INFO - Epoch(train) [54][520/940] lr: 1.0000e-03 eta: 10:57:18 time: 0.8020 data_time: 0.0317 memory: 21548 grad_norm: 4.2510 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 0.9205 loss: 0.9205 2022/08/01 14:01:10 - mmengine - INFO - Epoch(train) [54][540/940] lr: 1.0000e-03 eta: 10:57:00 time: 0.9005 data_time: 0.0406 memory: 21548 grad_norm: 4.1654 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8904 loss: 0.8904 2022/08/01 14:01:27 - mmengine - INFO - Epoch(train) [54][560/940] lr: 1.0000e-03 eta: 10:56:40 time: 0.8060 data_time: 0.0351 memory: 21548 grad_norm: 3.9834 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8644 loss: 0.8644 2022/08/01 14:01:45 - mmengine - INFO - Epoch(train) [54][580/940] lr: 1.0000e-03 eta: 10:56:22 time: 0.9075 data_time: 0.0406 memory: 21548 grad_norm: 4.1118 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8912 loss: 0.8912 2022/08/01 14:02:01 - mmengine - INFO - Epoch(train) [54][600/940] lr: 1.0000e-03 eta: 10:56:02 time: 0.8037 data_time: 0.0389 memory: 21548 grad_norm: 4.1394 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8874 loss: 0.8874 2022/08/01 14:02:19 - mmengine - INFO - Epoch(train) [54][620/940] lr: 1.0000e-03 eta: 10:55:44 time: 0.9104 data_time: 0.0359 memory: 21548 grad_norm: 4.0843 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.9435 loss: 0.9435 2022/08/01 14:02:34 - mmengine - INFO - Epoch(train) [54][640/940] lr: 1.0000e-03 eta: 10:55:24 time: 0.7723 data_time: 0.0378 memory: 21548 grad_norm: 4.1834 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8542 loss: 0.8542 2022/08/01 14:02:55 - mmengine - INFO - Epoch(train) [54][660/940] lr: 1.0000e-03 eta: 10:55:08 time: 1.0118 data_time: 0.0363 memory: 21548 grad_norm: 4.0888 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9014 loss: 0.9014 2022/08/01 14:03:09 - mmengine - INFO - Epoch(train) [54][680/940] lr: 1.0000e-03 eta: 10:54:47 time: 0.7327 data_time: 0.0376 memory: 21548 grad_norm: 4.1245 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7973 loss: 0.7973 2022/08/01 14:03:29 - mmengine - INFO - Epoch(train) [54][700/940] lr: 1.0000e-03 eta: 10:54:30 time: 0.9709 data_time: 0.0409 memory: 21548 grad_norm: 4.0197 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8047 loss: 0.8047 2022/08/01 14:03:44 - mmengine - INFO - Epoch(train) [54][720/940] lr: 1.0000e-03 eta: 10:54:09 time: 0.7444 data_time: 0.0362 memory: 21548 grad_norm: 4.1490 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8234 loss: 0.8234 2022/08/01 14:04:02 - mmengine - INFO - Epoch(train) [54][740/940] lr: 1.0000e-03 eta: 10:53:51 time: 0.9316 data_time: 0.0491 memory: 21548 grad_norm: 4.1477 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8559 loss: 0.8559 2022/08/01 14:04:18 - mmengine - INFO - Epoch(train) [54][760/940] lr: 1.0000e-03 eta: 10:53:31 time: 0.7861 data_time: 0.0360 memory: 21548 grad_norm: 4.0481 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8859 loss: 0.8859 2022/08/01 14:04:36 - mmengine - INFO - Epoch(train) [54][780/940] lr: 1.0000e-03 eta: 10:53:14 time: 0.9255 data_time: 0.0366 memory: 21548 grad_norm: 4.2998 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8258 loss: 0.8258 2022/08/01 14:04:52 - mmengine - INFO - Epoch(train) [54][800/940] lr: 1.0000e-03 eta: 10:52:53 time: 0.7779 data_time: 0.0326 memory: 21548 grad_norm: 4.1653 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8071 loss: 0.8071 2022/08/01 14:05:10 - mmengine - INFO - Epoch(train) [54][820/940] lr: 1.0000e-03 eta: 10:52:35 time: 0.9021 data_time: 0.0381 memory: 21548 grad_norm: 4.1357 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8319 loss: 0.8319 2022/08/01 14:05:26 - mmengine - INFO - Epoch(train) [54][840/940] lr: 1.0000e-03 eta: 10:52:15 time: 0.7970 data_time: 0.0297 memory: 21548 grad_norm: 4.1388 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8086 loss: 0.8086 2022/08/01 14:05:53 - mmengine - INFO - Epoch(train) [54][860/940] lr: 1.0000e-03 eta: 10:52:05 time: 1.3422 data_time: 0.1497 memory: 21548 grad_norm: 4.1144 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7748 loss: 0.7748 2022/08/01 14:06:07 - mmengine - INFO - Epoch(train) [54][880/940] lr: 1.0000e-03 eta: 10:51:44 time: 0.7186 data_time: 0.0304 memory: 21548 grad_norm: 4.2012 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9315 loss: 0.9315 2022/08/01 14:06:25 - mmengine - INFO - Epoch(train) [54][900/940] lr: 1.0000e-03 eta: 10:51:25 time: 0.8973 data_time: 0.0374 memory: 21548 grad_norm: 4.0076 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7900 loss: 0.7900 2022/08/01 14:06:40 - mmengine - INFO - Epoch(train) [54][920/940] lr: 1.0000e-03 eta: 10:51:05 time: 0.7362 data_time: 0.0435 memory: 21548 grad_norm: 4.1197 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8848 loss: 0.8848 2022/08/01 14:06:57 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 14:06:57 - mmengine - INFO - Epoch(train) [54][940/940] lr: 1.0000e-03 eta: 10:50:45 time: 0.8349 data_time: 0.0280 memory: 21548 grad_norm: 4.3246 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8027 loss: 0.8027 2022/08/01 14:06:57 - mmengine - INFO - Saving checkpoint at 54 epochs 2022/08/01 14:07:18 - mmengine - INFO - Epoch(val) [54][20/78] eta: 0:00:58 time: 1.0156 data_time: 0.8912 memory: 3271 2022/08/01 14:07:32 - mmengine - INFO - Epoch(val) [54][40/78] eta: 0:00:26 time: 0.6985 data_time: 0.5779 memory: 3271 2022/08/01 14:07:51 - mmengine - INFO - Epoch(val) [54][60/78] eta: 0:00:17 time: 0.9453 data_time: 0.8221 memory: 3271 2022/08/01 14:08:06 - mmengine - INFO - Epoch(val) [54][78/78] acc/top1: 0.7143 acc/top5: 0.8988 acc/mean1: 0.7142 2022/08/01 14:08:29 - mmengine - INFO - Epoch(train) [55][20/940] lr: 1.0000e-03 eta: 10:50:31 time: 1.1391 data_time: 0.6116 memory: 21548 grad_norm: 4.1136 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7600 loss: 0.7600 2022/08/01 14:08:55 - mmengine - INFO - Epoch(train) [55][40/940] lr: 1.0000e-03 eta: 10:50:21 time: 1.3380 data_time: 0.1827 memory: 21548 grad_norm: 4.0180 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8127 loss: 0.8127 2022/08/01 14:09:16 - mmengine - INFO - Epoch(train) [55][60/940] lr: 1.0000e-03 eta: 10:50:04 time: 1.0141 data_time: 0.2392 memory: 21548 grad_norm: 4.1377 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9004 loss: 0.9004 2022/08/01 14:09:31 - mmengine - INFO - Epoch(train) [55][80/940] lr: 1.0000e-03 eta: 10:49:44 time: 0.7427 data_time: 0.1463 memory: 21548 grad_norm: 4.2040 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 0.8081 loss: 0.8081 2022/08/01 14:09:49 - mmengine - INFO - Epoch(train) [55][100/940] lr: 1.0000e-03 eta: 10:49:26 time: 0.9077 data_time: 0.2144 memory: 21548 grad_norm: 4.1532 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9507 loss: 0.9507 2022/08/01 14:10:04 - mmengine - INFO - Epoch(train) [55][120/940] lr: 1.0000e-03 eta: 10:49:05 time: 0.7467 data_time: 0.0851 memory: 21548 grad_norm: 4.1287 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8948 loss: 0.8948 2022/08/01 14:10:23 - mmengine - INFO - Epoch(train) [55][140/940] lr: 1.0000e-03 eta: 10:48:48 time: 0.9593 data_time: 0.0361 memory: 21548 grad_norm: 4.1946 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9026 loss: 0.9026 2022/08/01 14:10:38 - mmengine - INFO - Epoch(train) [55][160/940] lr: 1.0000e-03 eta: 10:48:27 time: 0.7565 data_time: 0.0413 memory: 21548 grad_norm: 4.2185 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8951 loss: 0.8951 2022/08/01 14:10:58 - mmengine - INFO - Epoch(train) [55][180/940] lr: 1.0000e-03 eta: 10:48:11 time: 0.9995 data_time: 0.0698 memory: 21548 grad_norm: 4.1522 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9038 loss: 0.9038 2022/08/01 14:11:14 - mmengine - INFO - Epoch(train) [55][200/940] lr: 1.0000e-03 eta: 10:47:51 time: 0.7797 data_time: 0.1426 memory: 21548 grad_norm: 4.1359 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8284 loss: 0.8284 2022/08/01 14:11:33 - mmengine - INFO - Epoch(train) [55][220/940] lr: 1.0000e-03 eta: 10:47:33 time: 0.9442 data_time: 0.3526 memory: 21548 grad_norm: 4.1404 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8492 loss: 0.8492 2022/08/01 14:11:47 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 14:11:47 - mmengine - INFO - Epoch(train) [55][240/940] lr: 1.0000e-03 eta: 10:47:12 time: 0.7123 data_time: 0.0560 memory: 21548 grad_norm: 4.0390 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.8248 loss: 0.8248 2022/08/01 14:12:07 - mmengine - INFO - Epoch(train) [55][260/940] lr: 1.0000e-03 eta: 10:46:56 time: 1.0071 data_time: 0.0406 memory: 21548 grad_norm: 4.1446 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7658 loss: 0.7658 2022/08/01 14:12:22 - mmengine - INFO - Epoch(train) [55][280/940] lr: 1.0000e-03 eta: 10:46:35 time: 0.7296 data_time: 0.0338 memory: 21548 grad_norm: 4.1060 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8711 loss: 0.8711 2022/08/01 14:12:40 - mmengine - INFO - Epoch(train) [55][300/940] lr: 1.0000e-03 eta: 10:46:17 time: 0.9226 data_time: 0.0400 memory: 21548 grad_norm: 4.0753 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7884 loss: 0.7884 2022/08/01 14:12:55 - mmengine - INFO - Epoch(train) [55][320/940] lr: 1.0000e-03 eta: 10:45:57 time: 0.7659 data_time: 0.0313 memory: 21548 grad_norm: 4.0950 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8829 loss: 0.8829 2022/08/01 14:13:14 - mmengine - INFO - Epoch(train) [55][340/940] lr: 1.0000e-03 eta: 10:45:39 time: 0.9229 data_time: 0.0388 memory: 21548 grad_norm: 4.1570 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9171 loss: 0.9171 2022/08/01 14:13:29 - mmengine - INFO - Epoch(train) [55][360/940] lr: 1.0000e-03 eta: 10:45:19 time: 0.7704 data_time: 0.0330 memory: 21548 grad_norm: 4.1290 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7430 loss: 0.7430 2022/08/01 14:13:48 - mmengine - INFO - Epoch(train) [55][380/940] lr: 1.0000e-03 eta: 10:45:01 time: 0.9214 data_time: 0.0408 memory: 21548 grad_norm: 4.1594 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.7885 loss: 0.7885 2022/08/01 14:14:03 - mmengine - INFO - Epoch(train) [55][400/940] lr: 1.0000e-03 eta: 10:44:41 time: 0.7730 data_time: 0.0313 memory: 21548 grad_norm: 4.0381 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8133 loss: 0.8133 2022/08/01 14:14:21 - mmengine - INFO - Epoch(train) [55][420/940] lr: 1.0000e-03 eta: 10:44:22 time: 0.8885 data_time: 0.0408 memory: 21548 grad_norm: 4.1326 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7905 loss: 0.7905 2022/08/01 14:14:36 - mmengine - INFO - Epoch(train) [55][440/940] lr: 1.0000e-03 eta: 10:44:02 time: 0.7465 data_time: 0.0396 memory: 21548 grad_norm: 4.0764 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7678 loss: 0.7678 2022/08/01 14:14:54 - mmengine - INFO - Epoch(train) [55][460/940] lr: 1.0000e-03 eta: 10:43:44 time: 0.9238 data_time: 0.0439 memory: 21548 grad_norm: 4.2326 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8264 loss: 0.8264 2022/08/01 14:15:11 - mmengine - INFO - Epoch(train) [55][480/940] lr: 1.0000e-03 eta: 10:43:25 time: 0.8304 data_time: 0.0542 memory: 21548 grad_norm: 4.1499 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8259 loss: 0.8259 2022/08/01 14:15:29 - mmengine - INFO - Epoch(train) [55][500/940] lr: 1.0000e-03 eta: 10:43:06 time: 0.8842 data_time: 0.0455 memory: 21548 grad_norm: 4.2056 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8888 loss: 0.8888 2022/08/01 14:15:45 - mmengine - INFO - Epoch(train) [55][520/940] lr: 1.0000e-03 eta: 10:42:47 time: 0.8035 data_time: 0.0358 memory: 21548 grad_norm: 4.2442 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9048 loss: 0.9048 2022/08/01 14:16:04 - mmengine - INFO - Epoch(train) [55][540/940] lr: 1.0000e-03 eta: 10:42:30 time: 0.9907 data_time: 0.0406 memory: 21548 grad_norm: 4.1350 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9121 loss: 0.9121 2022/08/01 14:16:20 - mmengine - INFO - Epoch(train) [55][560/940] lr: 1.0000e-03 eta: 10:42:10 time: 0.7711 data_time: 0.0367 memory: 21548 grad_norm: 4.2387 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7695 loss: 0.7695 2022/08/01 14:16:38 - mmengine - INFO - Epoch(train) [55][580/940] lr: 1.0000e-03 eta: 10:41:51 time: 0.8908 data_time: 0.0371 memory: 21548 grad_norm: 4.1361 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8046 loss: 0.8046 2022/08/01 14:16:54 - mmengine - INFO - Epoch(train) [55][600/940] lr: 1.0000e-03 eta: 10:41:32 time: 0.7923 data_time: 0.0378 memory: 21548 grad_norm: 4.1386 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8160 loss: 0.8160 2022/08/01 14:17:12 - mmengine - INFO - Epoch(train) [55][620/940] lr: 1.0000e-03 eta: 10:41:14 time: 0.9132 data_time: 0.0393 memory: 21548 grad_norm: 4.1009 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7348 loss: 0.7348 2022/08/01 14:17:28 - mmengine - INFO - Epoch(train) [55][640/940] lr: 1.0000e-03 eta: 10:40:54 time: 0.8110 data_time: 0.0429 memory: 21548 grad_norm: 4.1996 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8963 loss: 0.8963 2022/08/01 14:17:46 - mmengine - INFO - Epoch(train) [55][660/940] lr: 1.0000e-03 eta: 10:40:36 time: 0.8994 data_time: 0.0421 memory: 21548 grad_norm: 4.0556 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8180 loss: 0.8180 2022/08/01 14:18:03 - mmengine - INFO - Epoch(train) [55][680/940] lr: 1.0000e-03 eta: 10:40:17 time: 0.8633 data_time: 0.0372 memory: 21548 grad_norm: 4.0835 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9325 loss: 0.9325 2022/08/01 14:18:22 - mmengine - INFO - Epoch(train) [55][700/940] lr: 1.0000e-03 eta: 10:40:00 time: 0.9344 data_time: 0.0399 memory: 21548 grad_norm: 4.1008 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8604 loss: 0.8604 2022/08/01 14:18:37 - mmengine - INFO - Epoch(train) [55][720/940] lr: 1.0000e-03 eta: 10:39:39 time: 0.7481 data_time: 0.0450 memory: 21548 grad_norm: 4.1777 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8126 loss: 0.8126 2022/08/01 14:18:56 - mmengine - INFO - Epoch(train) [55][740/940] lr: 1.0000e-03 eta: 10:39:22 time: 0.9398 data_time: 0.0389 memory: 21548 grad_norm: 4.0869 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8372 loss: 0.8372 2022/08/01 14:19:13 - mmengine - INFO - Epoch(train) [55][760/940] lr: 1.0000e-03 eta: 10:39:03 time: 0.8500 data_time: 0.0432 memory: 21548 grad_norm: 4.1440 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8833 loss: 0.8833 2022/08/01 14:19:30 - mmengine - INFO - Epoch(train) [55][780/940] lr: 1.0000e-03 eta: 10:38:44 time: 0.8706 data_time: 0.0356 memory: 21548 grad_norm: 4.2041 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9988 loss: 0.9988 2022/08/01 14:19:46 - mmengine - INFO - Epoch(train) [55][800/940] lr: 1.0000e-03 eta: 10:38:24 time: 0.7947 data_time: 0.0377 memory: 21548 grad_norm: 4.1953 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7953 loss: 0.7953 2022/08/01 14:20:05 - mmengine - INFO - Epoch(train) [55][820/940] lr: 1.0000e-03 eta: 10:38:07 time: 0.9560 data_time: 0.0385 memory: 21548 grad_norm: 4.1925 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8529 loss: 0.8529 2022/08/01 14:20:20 - mmengine - INFO - Epoch(train) [55][840/940] lr: 1.0000e-03 eta: 10:37:47 time: 0.7470 data_time: 0.0444 memory: 21548 grad_norm: 4.2587 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9332 loss: 0.9332 2022/08/01 14:20:38 - mmengine - INFO - Epoch(train) [55][860/940] lr: 1.0000e-03 eta: 10:37:29 time: 0.9131 data_time: 0.0387 memory: 21548 grad_norm: 4.2438 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8190 loss: 0.8190 2022/08/01 14:20:55 - mmengine - INFO - Epoch(train) [55][880/940] lr: 1.0000e-03 eta: 10:37:09 time: 0.8239 data_time: 0.0367 memory: 21548 grad_norm: 4.2543 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7776 loss: 0.7776 2022/08/01 14:21:13 - mmengine - INFO - Epoch(train) [55][900/940] lr: 1.0000e-03 eta: 10:36:51 time: 0.8883 data_time: 0.0366 memory: 21548 grad_norm: 4.2573 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8636 loss: 0.8636 2022/08/01 14:21:30 - mmengine - INFO - Epoch(train) [55][920/940] lr: 1.0000e-03 eta: 10:36:32 time: 0.8590 data_time: 0.0373 memory: 21548 grad_norm: 4.1860 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8236 loss: 0.8236 2022/08/01 14:21:44 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 14:21:44 - mmengine - INFO - Epoch(train) [55][940/940] lr: 1.0000e-03 eta: 10:36:11 time: 0.6840 data_time: 0.0313 memory: 21548 grad_norm: 4.3259 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.8509 loss: 0.8509 2022/08/01 14:22:04 - mmengine - INFO - Epoch(val) [55][20/78] eta: 0:00:58 time: 1.0155 data_time: 0.8909 memory: 3271 2022/08/01 14:22:18 - mmengine - INFO - Epoch(val) [55][40/78] eta: 0:00:27 time: 0.7111 data_time: 0.5756 memory: 3271 2022/08/01 14:22:37 - mmengine - INFO - Epoch(val) [55][60/78] eta: 0:00:17 time: 0.9511 data_time: 0.8113 memory: 3271 2022/08/01 14:22:53 - mmengine - INFO - Epoch(val) [55][78/78] acc/top1: 0.7148 acc/top5: 0.8986 acc/mean1: 0.7147 2022/08/01 14:23:15 - mmengine - INFO - Epoch(train) [56][20/940] lr: 1.0000e-03 eta: 10:35:56 time: 1.1241 data_time: 0.6140 memory: 21548 grad_norm: 4.1647 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8500 loss: 0.8500 2022/08/01 14:23:31 - mmengine - INFO - Epoch(train) [56][40/940] lr: 1.0000e-03 eta: 10:35:36 time: 0.7823 data_time: 0.2108 memory: 21548 grad_norm: 4.1971 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7774 loss: 0.7774 2022/08/01 14:23:51 - mmengine - INFO - Epoch(train) [56][60/940] lr: 1.0000e-03 eta: 10:35:19 time: 0.9651 data_time: 0.2297 memory: 21548 grad_norm: 4.1377 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8593 loss: 0.8593 2022/08/01 14:24:06 - mmengine - INFO - Epoch(train) [56][80/940] lr: 1.0000e-03 eta: 10:34:59 time: 0.7594 data_time: 0.0997 memory: 21548 grad_norm: 4.1765 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.9046 loss: 0.9046 2022/08/01 14:24:26 - mmengine - INFO - Epoch(train) [56][100/940] lr: 1.0000e-03 eta: 10:34:43 time: 1.0106 data_time: 0.0721 memory: 21548 grad_norm: 4.0881 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8289 loss: 0.8289 2022/08/01 14:24:42 - mmengine - INFO - Epoch(train) [56][120/940] lr: 1.0000e-03 eta: 10:34:23 time: 0.7946 data_time: 0.0344 memory: 21548 grad_norm: 4.1252 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7696 loss: 0.7696 2022/08/01 14:25:00 - mmengine - INFO - Epoch(train) [56][140/940] lr: 1.0000e-03 eta: 10:34:05 time: 0.9051 data_time: 0.0467 memory: 21548 grad_norm: 4.1226 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8967 loss: 0.8967 2022/08/01 14:25:15 - mmengine - INFO - Epoch(train) [56][160/940] lr: 1.0000e-03 eta: 10:33:44 time: 0.7385 data_time: 0.0338 memory: 21548 grad_norm: 4.1925 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8383 loss: 0.8383 2022/08/01 14:25:32 - mmengine - INFO - Epoch(train) [56][180/940] lr: 1.0000e-03 eta: 10:33:26 time: 0.8954 data_time: 0.0415 memory: 21548 grad_norm: 4.1781 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9053 loss: 0.9053 2022/08/01 14:25:48 - mmengine - INFO - Epoch(train) [56][200/940] lr: 1.0000e-03 eta: 10:33:06 time: 0.7876 data_time: 0.0780 memory: 21548 grad_norm: 4.1322 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 0.8237 loss: 0.8237 2022/08/01 14:26:08 - mmengine - INFO - Epoch(train) [56][220/940] lr: 1.0000e-03 eta: 10:32:50 time: 0.9975 data_time: 0.1218 memory: 21548 grad_norm: 4.1067 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8130 loss: 0.8130 2022/08/01 14:26:24 - mmengine - INFO - Epoch(train) [56][240/940] lr: 1.0000e-03 eta: 10:32:29 time: 0.7766 data_time: 0.2182 memory: 21548 grad_norm: 4.1463 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8180 loss: 0.8180 2022/08/01 14:26:42 - mmengine - INFO - Epoch(train) [56][260/940] lr: 1.0000e-03 eta: 10:32:12 time: 0.9090 data_time: 0.2363 memory: 21548 grad_norm: 4.1435 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8332 loss: 0.8332 2022/08/01 14:26:58 - mmengine - INFO - Epoch(train) [56][280/940] lr: 1.0000e-03 eta: 10:31:52 time: 0.8003 data_time: 0.0573 memory: 21548 grad_norm: 4.2325 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8818 loss: 0.8818 2022/08/01 14:27:20 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 14:27:20 - mmengine - INFO - Epoch(train) [56][300/940] lr: 1.0000e-03 eta: 10:31:37 time: 1.1140 data_time: 0.1113 memory: 21548 grad_norm: 4.2132 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 0.9835 loss: 0.9835 2022/08/01 14:27:43 - mmengine - INFO - Epoch(train) [56][320/940] lr: 1.0000e-03 eta: 10:31:23 time: 1.1549 data_time: 0.1816 memory: 21548 grad_norm: 4.0516 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8560 loss: 0.8560 2022/08/01 14:28:00 - mmengine - INFO - Epoch(train) [56][340/940] lr: 1.0000e-03 eta: 10:31:04 time: 0.8362 data_time: 0.1029 memory: 21548 grad_norm: 4.2867 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.8723 loss: 0.8723 2022/08/01 14:28:18 - mmengine - INFO - Epoch(train) [56][360/940] lr: 1.0000e-03 eta: 10:30:46 time: 0.9218 data_time: 0.0310 memory: 21548 grad_norm: 4.2108 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.9252 loss: 0.9252 2022/08/01 14:28:34 - mmengine - INFO - Epoch(train) [56][380/940] lr: 1.0000e-03 eta: 10:30:27 time: 0.7906 data_time: 0.0679 memory: 21548 grad_norm: 4.1930 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8771 loss: 0.8771 2022/08/01 14:28:52 - mmengine - INFO - Epoch(train) [56][400/940] lr: 1.0000e-03 eta: 10:30:08 time: 0.8780 data_time: 0.0400 memory: 21548 grad_norm: 4.2187 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8092 loss: 0.8092 2022/08/01 14:29:09 - mmengine - INFO - Epoch(train) [56][420/940] lr: 1.0000e-03 eta: 10:29:49 time: 0.8458 data_time: 0.0567 memory: 21548 grad_norm: 4.1570 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8108 loss: 0.8108 2022/08/01 14:29:25 - mmengine - INFO - Epoch(train) [56][440/940] lr: 1.0000e-03 eta: 10:29:30 time: 0.8185 data_time: 0.0378 memory: 21548 grad_norm: 4.2436 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8390 loss: 0.8390 2022/08/01 14:29:43 - mmengine - INFO - Epoch(train) [56][460/940] lr: 1.0000e-03 eta: 10:29:11 time: 0.8682 data_time: 0.0396 memory: 21548 grad_norm: 4.0817 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8016 loss: 0.8016 2022/08/01 14:29:59 - mmengine - INFO - Epoch(train) [56][480/940] lr: 1.0000e-03 eta: 10:28:52 time: 0.8274 data_time: 0.0514 memory: 21548 grad_norm: 4.1675 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8793 loss: 0.8793 2022/08/01 14:30:15 - mmengine - INFO - Epoch(train) [56][500/940] lr: 1.0000e-03 eta: 10:28:32 time: 0.7786 data_time: 0.1215 memory: 21548 grad_norm: 4.1779 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8903 loss: 0.8903 2022/08/01 14:30:33 - mmengine - INFO - Epoch(train) [56][520/940] lr: 1.0000e-03 eta: 10:28:14 time: 0.9086 data_time: 0.1812 memory: 21548 grad_norm: 4.1816 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9425 loss: 0.9425 2022/08/01 14:30:50 - mmengine - INFO - Epoch(train) [56][540/940] lr: 1.0000e-03 eta: 10:27:55 time: 0.8649 data_time: 0.2071 memory: 21548 grad_norm: 4.0920 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8043 loss: 0.8043 2022/08/01 14:31:08 - mmengine - INFO - Epoch(train) [56][560/940] lr: 1.0000e-03 eta: 10:27:37 time: 0.8896 data_time: 0.0952 memory: 21548 grad_norm: 4.1750 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8972 loss: 0.8972 2022/08/01 14:31:23 - mmengine - INFO - Epoch(train) [56][580/940] lr: 1.0000e-03 eta: 10:27:17 time: 0.7632 data_time: 0.0957 memory: 21548 grad_norm: 4.1084 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8941 loss: 0.8941 2022/08/01 14:31:42 - mmengine - INFO - Epoch(train) [56][600/940] lr: 1.0000e-03 eta: 10:27:00 time: 0.9547 data_time: 0.1236 memory: 21548 grad_norm: 4.2969 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9002 loss: 0.9002 2022/08/01 14:32:11 - mmengine - INFO - Epoch(train) [56][620/940] lr: 1.0000e-03 eta: 10:26:50 time: 1.4571 data_time: 0.0651 memory: 21548 grad_norm: 4.1220 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8641 loss: 0.8641 2022/08/01 14:32:27 - mmengine - INFO - Epoch(train) [56][640/940] lr: 1.0000e-03 eta: 10:26:30 time: 0.7665 data_time: 0.0312 memory: 21548 grad_norm: 4.2204 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8890 loss: 0.8890 2022/08/01 14:32:45 - mmengine - INFO - Epoch(train) [56][660/940] lr: 1.0000e-03 eta: 10:26:12 time: 0.8894 data_time: 0.0327 memory: 21548 grad_norm: 4.2136 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8174 loss: 0.8174 2022/08/01 14:33:01 - mmengine - INFO - Epoch(train) [56][680/940] lr: 1.0000e-03 eta: 10:25:52 time: 0.8149 data_time: 0.0418 memory: 21548 grad_norm: 4.1323 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8696 loss: 0.8696 2022/08/01 14:33:19 - mmengine - INFO - Epoch(train) [56][700/940] lr: 1.0000e-03 eta: 10:25:34 time: 0.9017 data_time: 0.0343 memory: 21548 grad_norm: 4.1419 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8138 loss: 0.8138 2022/08/01 14:33:35 - mmengine - INFO - Epoch(train) [56][720/940] lr: 1.0000e-03 eta: 10:25:14 time: 0.7796 data_time: 0.0583 memory: 21548 grad_norm: 4.1926 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8089 loss: 0.8089 2022/08/01 14:33:54 - mmengine - INFO - Epoch(train) [56][740/940] lr: 1.0000e-03 eta: 10:24:58 time: 0.9725 data_time: 0.0485 memory: 21548 grad_norm: 4.1403 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9330 loss: 0.9330 2022/08/01 14:34:09 - mmengine - INFO - Epoch(train) [56][760/940] lr: 1.0000e-03 eta: 10:24:37 time: 0.7606 data_time: 0.0372 memory: 21548 grad_norm: 4.1397 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8585 loss: 0.8585 2022/08/01 14:34:28 - mmengine - INFO - Epoch(train) [56][780/940] lr: 1.0000e-03 eta: 10:24:20 time: 0.9228 data_time: 0.0375 memory: 21548 grad_norm: 4.2757 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9158 loss: 0.9158 2022/08/01 14:34:43 - mmengine - INFO - Epoch(train) [56][800/940] lr: 1.0000e-03 eta: 10:24:00 time: 0.7794 data_time: 0.0333 memory: 21548 grad_norm: 4.2916 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9130 loss: 0.9130 2022/08/01 14:35:02 - mmengine - INFO - Epoch(train) [56][820/940] lr: 1.0000e-03 eta: 10:23:42 time: 0.9421 data_time: 0.0347 memory: 21548 grad_norm: 4.1741 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 0.8997 loss: 0.8997 2022/08/01 14:35:17 - mmengine - INFO - Epoch(train) [56][840/940] lr: 1.0000e-03 eta: 10:23:22 time: 0.7423 data_time: 0.0396 memory: 21548 grad_norm: 4.0717 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7956 loss: 0.7956 2022/08/01 14:35:35 - mmengine - INFO - Epoch(train) [56][860/940] lr: 1.0000e-03 eta: 10:23:04 time: 0.9190 data_time: 0.0367 memory: 21548 grad_norm: 4.1680 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7891 loss: 0.7891 2022/08/01 14:35:51 - mmengine - INFO - Epoch(train) [56][880/940] lr: 1.0000e-03 eta: 10:22:44 time: 0.8048 data_time: 0.0390 memory: 21548 grad_norm: 4.1106 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7813 loss: 0.7813 2022/08/01 14:36:09 - mmengine - INFO - Epoch(train) [56][900/940] lr: 1.0000e-03 eta: 10:22:26 time: 0.8801 data_time: 0.0325 memory: 21548 grad_norm: 4.0942 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8347 loss: 0.8347 2022/08/01 14:36:26 - mmengine - INFO - Epoch(train) [56][920/940] lr: 1.0000e-03 eta: 10:22:07 time: 0.8720 data_time: 0.0371 memory: 21548 grad_norm: 4.1820 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9335 loss: 0.9335 2022/08/01 14:36:39 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 14:36:39 - mmengine - INFO - Epoch(train) [56][940/940] lr: 1.0000e-03 eta: 10:21:45 time: 0.6355 data_time: 0.0272 memory: 21548 grad_norm: 4.5232 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.0168 loss: 1.0168 2022/08/01 14:37:00 - mmengine - INFO - Epoch(val) [56][20/78] eta: 0:00:58 time: 1.0129 data_time: 0.8811 memory: 3271 2022/08/01 14:37:13 - mmengine - INFO - Epoch(val) [56][40/78] eta: 0:00:26 time: 0.6953 data_time: 0.5700 memory: 3271 2022/08/01 14:37:32 - mmengine - INFO - Epoch(val) [56][60/78] eta: 0:00:16 time: 0.9329 data_time: 0.8121 memory: 3271 2022/08/01 14:37:50 - mmengine - INFO - Epoch(val) [56][78/78] acc/top1: 0.7165 acc/top5: 0.8994 acc/mean1: 0.7164 2022/08/01 14:37:50 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_48.pth is removed 2022/08/01 14:37:52 - mmengine - INFO - The best checkpoint with 0.7165 acc/top1 at 57 epoch is saved to best_acc/top1_epoch_57.pth. 2022/08/01 14:38:13 - mmengine - INFO - Epoch(train) [57][20/940] lr: 1.0000e-03 eta: 10:21:30 time: 1.0733 data_time: 0.6819 memory: 21548 grad_norm: 4.1139 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7783 loss: 0.7783 2022/08/01 14:38:29 - mmengine - INFO - Epoch(train) [57][40/940] lr: 1.0000e-03 eta: 10:21:10 time: 0.7675 data_time: 0.2313 memory: 21548 grad_norm: 4.2319 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8055 loss: 0.8055 2022/08/01 14:38:49 - mmengine - INFO - Epoch(train) [57][60/940] lr: 1.0000e-03 eta: 10:20:53 time: 0.9991 data_time: 0.2492 memory: 21548 grad_norm: 4.1950 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9346 loss: 0.9346 2022/08/01 14:39:03 - mmengine - INFO - Epoch(train) [57][80/940] lr: 1.0000e-03 eta: 10:20:32 time: 0.7108 data_time: 0.1705 memory: 21548 grad_norm: 4.0738 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7335 loss: 0.7335 2022/08/01 14:39:21 - mmengine - INFO - Epoch(train) [57][100/940] lr: 1.0000e-03 eta: 10:20:14 time: 0.9351 data_time: 0.2279 memory: 21548 grad_norm: 4.1281 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7701 loss: 0.7701 2022/08/01 14:39:37 - mmengine - INFO - Epoch(train) [57][120/940] lr: 1.0000e-03 eta: 10:19:55 time: 0.7809 data_time: 0.1986 memory: 21548 grad_norm: 4.1783 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8187 loss: 0.8187 2022/08/01 14:39:56 - mmengine - INFO - Epoch(train) [57][140/940] lr: 1.0000e-03 eta: 10:19:37 time: 0.9243 data_time: 0.2965 memory: 21548 grad_norm: 4.1203 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.7997 loss: 0.7997 2022/08/01 14:40:11 - mmengine - INFO - Epoch(train) [57][160/940] lr: 1.0000e-03 eta: 10:19:17 time: 0.7844 data_time: 0.2351 memory: 21548 grad_norm: 4.2012 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8380 loss: 0.8380 2022/08/01 14:40:35 - mmengine - INFO - Epoch(train) [57][180/940] lr: 1.0000e-03 eta: 10:19:04 time: 1.2066 data_time: 0.3672 memory: 21548 grad_norm: 4.1418 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8932 loss: 0.8932 2022/08/01 14:40:52 - mmengine - INFO - Epoch(train) [57][200/940] lr: 1.0000e-03 eta: 10:18:45 time: 0.8287 data_time: 0.0460 memory: 21548 grad_norm: 4.2404 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8901 loss: 0.8901 2022/08/01 14:41:10 - mmengine - INFO - Epoch(train) [57][220/940] lr: 1.0000e-03 eta: 10:18:27 time: 0.9242 data_time: 0.0378 memory: 21548 grad_norm: 4.1905 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.8009 loss: 0.8009 2022/08/01 14:41:26 - mmengine - INFO - Epoch(train) [57][240/940] lr: 1.0000e-03 eta: 10:18:07 time: 0.7566 data_time: 0.0290 memory: 21548 grad_norm: 4.2619 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8457 loss: 0.8457 2022/08/01 14:41:44 - mmengine - INFO - Epoch(train) [57][260/940] lr: 1.0000e-03 eta: 10:17:49 time: 0.9165 data_time: 0.0516 memory: 21548 grad_norm: 4.1554 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8562 loss: 0.8562 2022/08/01 14:42:00 - mmengine - INFO - Epoch(train) [57][280/940] lr: 1.0000e-03 eta: 10:17:29 time: 0.7879 data_time: 0.0300 memory: 21548 grad_norm: 4.3111 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8685 loss: 0.8685 2022/08/01 14:42:19 - mmengine - INFO - Epoch(train) [57][300/940] lr: 1.0000e-03 eta: 10:17:12 time: 0.9498 data_time: 0.0614 memory: 21548 grad_norm: 4.3305 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9756 loss: 0.9756 2022/08/01 14:42:36 - mmengine - INFO - Epoch(train) [57][320/940] lr: 1.0000e-03 eta: 10:16:53 time: 0.8515 data_time: 0.0340 memory: 21548 grad_norm: 4.1625 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9162 loss: 0.9162 2022/08/01 14:42:55 - mmengine - INFO - Epoch(train) [57][340/940] lr: 1.0000e-03 eta: 10:16:35 time: 0.9452 data_time: 0.0346 memory: 21548 grad_norm: 4.1667 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8947 loss: 0.8947 2022/08/01 14:43:10 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 14:43:10 - mmengine - INFO - Epoch(train) [57][360/940] lr: 1.0000e-03 eta: 10:16:15 time: 0.7740 data_time: 0.0362 memory: 21548 grad_norm: 4.1120 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8741 loss: 0.8741 2022/08/01 14:43:28 - mmengine - INFO - Epoch(train) [57][380/940] lr: 1.0000e-03 eta: 10:15:57 time: 0.8978 data_time: 0.0551 memory: 21548 grad_norm: 4.1939 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.7935 loss: 0.7935 2022/08/01 14:43:56 - mmengine - INFO - Epoch(train) [57][400/940] lr: 1.0000e-03 eta: 10:15:47 time: 1.4027 data_time: 0.3168 memory: 21548 grad_norm: 4.3215 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8557 loss: 0.8557 2022/08/01 14:44:15 - mmengine - INFO - Epoch(train) [57][420/940] lr: 1.0000e-03 eta: 10:15:30 time: 0.9438 data_time: 0.0284 memory: 21548 grad_norm: 4.3123 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8052 loss: 0.8052 2022/08/01 14:44:32 - mmengine - INFO - Epoch(train) [57][440/940] lr: 1.0000e-03 eta: 10:15:11 time: 0.8358 data_time: 0.0343 memory: 21548 grad_norm: 4.1866 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7663 loss: 0.7663 2022/08/01 14:44:47 - mmengine - INFO - Epoch(train) [57][460/940] lr: 1.0000e-03 eta: 10:14:51 time: 0.7832 data_time: 0.0341 memory: 21548 grad_norm: 4.2231 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7599 loss: 0.7599 2022/08/01 14:45:05 - mmengine - INFO - Epoch(train) [57][480/940] lr: 1.0000e-03 eta: 10:14:32 time: 0.8522 data_time: 0.0423 memory: 21548 grad_norm: 4.0209 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.7898 loss: 0.7898 2022/08/01 14:45:21 - mmengine - INFO - Epoch(train) [57][500/940] lr: 1.0000e-03 eta: 10:14:13 time: 0.8414 data_time: 0.0747 memory: 21548 grad_norm: 4.1603 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8689 loss: 0.8689 2022/08/01 14:45:38 - mmengine - INFO - Epoch(train) [57][520/940] lr: 1.0000e-03 eta: 10:13:54 time: 0.8553 data_time: 0.0546 memory: 21548 grad_norm: 4.1212 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7937 loss: 0.7937 2022/08/01 14:45:57 - mmengine - INFO - Epoch(train) [57][540/940] lr: 1.0000e-03 eta: 10:13:36 time: 0.9184 data_time: 0.0416 memory: 21548 grad_norm: 4.2063 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8492 loss: 0.8492 2022/08/01 14:46:12 - mmengine - INFO - Epoch(train) [57][560/940] lr: 1.0000e-03 eta: 10:13:16 time: 0.7451 data_time: 0.0381 memory: 21548 grad_norm: 4.1688 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7635 loss: 0.7635 2022/08/01 14:46:30 - mmengine - INFO - Epoch(train) [57][580/940] lr: 1.0000e-03 eta: 10:12:58 time: 0.9196 data_time: 0.0330 memory: 21548 grad_norm: 4.1621 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8382 loss: 0.8382 2022/08/01 14:46:46 - mmengine - INFO - Epoch(train) [57][600/940] lr: 1.0000e-03 eta: 10:12:39 time: 0.8027 data_time: 0.0367 memory: 21548 grad_norm: 4.2261 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9108 loss: 0.9108 2022/08/01 14:47:04 - mmengine - INFO - Epoch(train) [57][620/940] lr: 1.0000e-03 eta: 10:12:20 time: 0.8946 data_time: 0.0369 memory: 21548 grad_norm: 4.1031 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8053 loss: 0.8053 2022/08/01 14:47:20 - mmengine - INFO - Epoch(train) [57][640/940] lr: 1.0000e-03 eta: 10:12:01 time: 0.8137 data_time: 0.0402 memory: 21548 grad_norm: 4.2194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7879 loss: 0.7879 2022/08/01 14:47:40 - mmengine - INFO - Epoch(train) [57][660/940] lr: 1.0000e-03 eta: 10:11:44 time: 0.9612 data_time: 0.0370 memory: 21548 grad_norm: 4.1352 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8584 loss: 0.8584 2022/08/01 14:47:54 - mmengine - INFO - Epoch(train) [57][680/940] lr: 1.0000e-03 eta: 10:11:23 time: 0.7361 data_time: 0.0339 memory: 21548 grad_norm: 4.1783 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8336 loss: 0.8336 2022/08/01 14:48:13 - mmengine - INFO - Epoch(train) [57][700/940] lr: 1.0000e-03 eta: 10:11:06 time: 0.9213 data_time: 0.0509 memory: 21548 grad_norm: 4.2481 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8344 loss: 0.8344 2022/08/01 14:48:28 - mmengine - INFO - Epoch(train) [57][720/940] lr: 1.0000e-03 eta: 10:10:46 time: 0.7744 data_time: 0.0405 memory: 21548 grad_norm: 4.1463 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9075 loss: 0.9075 2022/08/01 14:48:46 - mmengine - INFO - Epoch(train) [57][740/940] lr: 1.0000e-03 eta: 10:10:27 time: 0.8908 data_time: 0.0364 memory: 21548 grad_norm: 4.2107 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0074 loss: 1.0074 2022/08/01 14:49:03 - mmengine - INFO - Epoch(train) [57][760/940] lr: 1.0000e-03 eta: 10:10:08 time: 0.8239 data_time: 0.0368 memory: 21548 grad_norm: 4.1459 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8346 loss: 0.8346 2022/08/01 14:49:22 - mmengine - INFO - Epoch(train) [57][780/940] lr: 1.0000e-03 eta: 10:09:51 time: 0.9522 data_time: 0.0436 memory: 21548 grad_norm: 4.2980 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8848 loss: 0.8848 2022/08/01 14:49:38 - mmengine - INFO - Epoch(train) [57][800/940] lr: 1.0000e-03 eta: 10:09:31 time: 0.8069 data_time: 0.0307 memory: 21548 grad_norm: 4.1722 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8738 loss: 0.8738 2022/08/01 14:49:56 - mmengine - INFO - Epoch(train) [57][820/940] lr: 1.0000e-03 eta: 10:09:14 time: 0.9305 data_time: 0.0365 memory: 21548 grad_norm: 4.1737 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7921 loss: 0.7921 2022/08/01 14:50:16 - mmengine - INFO - Epoch(train) [57][840/940] lr: 1.0000e-03 eta: 10:08:57 time: 0.9614 data_time: 0.0387 memory: 21548 grad_norm: 4.3163 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8975 loss: 0.8975 2022/08/01 14:50:34 - mmengine - INFO - Epoch(train) [57][860/940] lr: 1.0000e-03 eta: 10:08:39 time: 0.8970 data_time: 0.0370 memory: 21548 grad_norm: 4.1949 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7927 loss: 0.7927 2022/08/01 14:50:49 - mmengine - INFO - Epoch(train) [57][880/940] lr: 1.0000e-03 eta: 10:08:19 time: 0.7647 data_time: 0.0356 memory: 21548 grad_norm: 4.1248 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7648 loss: 0.7648 2022/08/01 14:51:07 - mmengine - INFO - Epoch(train) [57][900/940] lr: 1.0000e-03 eta: 10:08:01 time: 0.9114 data_time: 0.0390 memory: 21548 grad_norm: 4.2454 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8248 loss: 0.8248 2022/08/01 14:51:23 - mmengine - INFO - Epoch(train) [57][920/940] lr: 1.0000e-03 eta: 10:07:41 time: 0.7919 data_time: 0.0353 memory: 21548 grad_norm: 4.2341 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8115 loss: 0.8115 2022/08/01 14:51:38 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 14:51:38 - mmengine - INFO - Epoch(train) [57][940/940] lr: 1.0000e-03 eta: 10:07:21 time: 0.7758 data_time: 0.0296 memory: 21548 grad_norm: 4.6138 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9173 loss: 0.9173 2022/08/01 14:51:38 - mmengine - INFO - Saving checkpoint at 57 epochs 2022/08/01 14:52:02 - mmengine - INFO - Epoch(val) [57][20/78] eta: 0:00:59 time: 1.0238 data_time: 0.9003 memory: 3271 2022/08/01 14:52:16 - mmengine - INFO - Epoch(val) [57][40/78] eta: 0:00:26 time: 0.7073 data_time: 0.5868 memory: 3271 2022/08/01 14:52:36 - mmengine - INFO - Epoch(val) [57][60/78] eta: 0:00:17 time: 0.9678 data_time: 0.8432 memory: 3271 2022/08/01 14:52:50 - mmengine - INFO - Epoch(val) [57][78/78] acc/top1: 0.7156 acc/top5: 0.8986 acc/mean1: 0.7155 2022/08/01 14:53:12 - mmengine - INFO - Epoch(train) [58][20/940] lr: 1.0000e-03 eta: 10:07:06 time: 1.1020 data_time: 0.5795 memory: 21548 grad_norm: 4.0765 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8699 loss: 0.8699 2022/08/01 14:53:27 - mmengine - INFO - Epoch(train) [58][40/940] lr: 1.0000e-03 eta: 10:06:46 time: 0.7688 data_time: 0.2917 memory: 21548 grad_norm: 4.2578 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7951 loss: 0.7951 2022/08/01 14:53:46 - mmengine - INFO - Epoch(train) [58][60/940] lr: 1.0000e-03 eta: 10:06:28 time: 0.9327 data_time: 0.3989 memory: 21548 grad_norm: 4.1629 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8273 loss: 0.8273 2022/08/01 14:54:08 - mmengine - INFO - Epoch(train) [58][80/940] lr: 1.0000e-03 eta: 10:06:14 time: 1.1212 data_time: 0.6102 memory: 21548 grad_norm: 4.0519 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7884 loss: 0.7884 2022/08/01 14:54:31 - mmengine - INFO - Epoch(train) [58][100/940] lr: 1.0000e-03 eta: 10:05:59 time: 1.1455 data_time: 0.7416 memory: 21548 grad_norm: 4.1464 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8816 loss: 0.8816 2022/08/01 14:54:48 - mmengine - INFO - Epoch(train) [58][120/940] lr: 1.0000e-03 eta: 10:05:40 time: 0.8436 data_time: 0.0206 memory: 21548 grad_norm: 4.2560 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8571 loss: 0.8571 2022/08/01 14:55:06 - mmengine - INFO - Epoch(train) [58][140/940] lr: 1.0000e-03 eta: 10:05:22 time: 0.8919 data_time: 0.0374 memory: 21548 grad_norm: 4.1858 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9131 loss: 0.9131 2022/08/01 14:55:22 - mmengine - INFO - Epoch(train) [58][160/940] lr: 1.0000e-03 eta: 10:05:03 time: 0.7920 data_time: 0.0292 memory: 21548 grad_norm: 4.1657 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.8070 loss: 0.8070 2022/08/01 14:55:41 - mmengine - INFO - Epoch(train) [58][180/940] lr: 1.0000e-03 eta: 10:04:46 time: 0.9842 data_time: 0.0450 memory: 21548 grad_norm: 4.1418 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8643 loss: 0.8643 2022/08/01 14:55:57 - mmengine - INFO - Epoch(train) [58][200/940] lr: 1.0000e-03 eta: 10:04:26 time: 0.7790 data_time: 0.0309 memory: 21548 grad_norm: 4.1913 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7980 loss: 0.7980 2022/08/01 14:56:15 - mmengine - INFO - Epoch(train) [58][220/940] lr: 1.0000e-03 eta: 10:04:08 time: 0.8839 data_time: 0.0441 memory: 21548 grad_norm: 4.1479 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7498 loss: 0.7498 2022/08/01 14:56:31 - mmengine - INFO - Epoch(train) [58][240/940] lr: 1.0000e-03 eta: 10:03:48 time: 0.8196 data_time: 0.1593 memory: 21548 grad_norm: 4.2130 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8381 loss: 0.8381 2022/08/01 14:56:50 - mmengine - INFO - Epoch(train) [58][260/940] lr: 1.0000e-03 eta: 10:03:31 time: 0.9320 data_time: 0.1049 memory: 21548 grad_norm: 4.2180 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7903 loss: 0.7903 2022/08/01 14:57:05 - mmengine - INFO - Epoch(train) [58][280/940] lr: 1.0000e-03 eta: 10:03:10 time: 0.7471 data_time: 0.1475 memory: 21548 grad_norm: 4.1486 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.8082 loss: 0.8082 2022/08/01 14:57:23 - mmengine - INFO - Epoch(train) [58][300/940] lr: 1.0000e-03 eta: 10:02:53 time: 0.9131 data_time: 0.1385 memory: 21548 grad_norm: 4.2233 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8647 loss: 0.8647 2022/08/01 14:57:38 - mmengine - INFO - Epoch(train) [58][320/940] lr: 1.0000e-03 eta: 10:02:33 time: 0.7701 data_time: 0.0335 memory: 21548 grad_norm: 4.1919 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7510 loss: 0.7510 2022/08/01 14:57:58 - mmengine - INFO - Epoch(train) [58][340/940] lr: 1.0000e-03 eta: 10:02:16 time: 0.9696 data_time: 0.0371 memory: 21548 grad_norm: 4.2048 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9218 loss: 0.9218 2022/08/01 14:58:14 - mmengine - INFO - Epoch(train) [58][360/940] lr: 1.0000e-03 eta: 10:01:56 time: 0.8102 data_time: 0.0478 memory: 21548 grad_norm: 4.2284 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8284 loss: 0.8284 2022/08/01 14:58:32 - mmengine - INFO - Epoch(train) [58][380/940] lr: 1.0000e-03 eta: 10:01:38 time: 0.8850 data_time: 0.0419 memory: 21548 grad_norm: 4.1337 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7495 loss: 0.7495 2022/08/01 14:58:47 - mmengine - INFO - Epoch(train) [58][400/940] lr: 1.0000e-03 eta: 10:01:18 time: 0.7697 data_time: 0.0323 memory: 21548 grad_norm: 4.2784 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.7325 loss: 0.7325 2022/08/01 14:59:06 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 14:59:06 - mmengine - INFO - Epoch(train) [58][420/940] lr: 1.0000e-03 eta: 10:01:00 time: 0.9385 data_time: 0.0354 memory: 21548 grad_norm: 4.2450 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8487 loss: 0.8487 2022/08/01 14:59:21 - mmengine - INFO - Epoch(train) [58][440/940] lr: 1.0000e-03 eta: 10:00:41 time: 0.7814 data_time: 0.1165 memory: 21548 grad_norm: 4.1051 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9274 loss: 0.9274 2022/08/01 14:59:40 - mmengine - INFO - Epoch(train) [58][460/940] lr: 1.0000e-03 eta: 10:00:23 time: 0.9208 data_time: 0.0440 memory: 21548 grad_norm: 4.1989 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9092 loss: 0.9092 2022/08/01 14:59:55 - mmengine - INFO - Epoch(train) [58][480/940] lr: 1.0000e-03 eta: 10:00:03 time: 0.7518 data_time: 0.0561 memory: 21548 grad_norm: 4.2681 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8361 loss: 0.8361 2022/08/01 15:00:14 - mmengine - INFO - Epoch(train) [58][500/940] lr: 1.0000e-03 eta: 9:59:46 time: 0.9689 data_time: 0.0325 memory: 21548 grad_norm: 4.0349 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8381 loss: 0.8381 2022/08/01 15:00:30 - mmengine - INFO - Epoch(train) [58][520/940] lr: 1.0000e-03 eta: 9:59:26 time: 0.8154 data_time: 0.0393 memory: 21548 grad_norm: 4.2056 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8606 loss: 0.8606 2022/08/01 15:00:50 - mmengine - INFO - Epoch(train) [58][540/940] lr: 1.0000e-03 eta: 9:59:09 time: 0.9653 data_time: 0.0400 memory: 21548 grad_norm: 4.1869 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7884 loss: 0.7884 2022/08/01 15:01:07 - mmengine - INFO - Epoch(train) [58][560/940] lr: 1.0000e-03 eta: 9:58:50 time: 0.8483 data_time: 0.0323 memory: 21548 grad_norm: 4.1141 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9066 loss: 0.9066 2022/08/01 15:01:30 - mmengine - INFO - Epoch(train) [58][580/940] lr: 1.0000e-03 eta: 9:58:36 time: 1.1367 data_time: 0.2547 memory: 21548 grad_norm: 4.2645 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8797 loss: 0.8797 2022/08/01 15:01:46 - mmengine - INFO - Epoch(train) [58][600/940] lr: 1.0000e-03 eta: 9:58:17 time: 0.8258 data_time: 0.0393 memory: 21548 grad_norm: 4.3394 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9607 loss: 0.9607 2022/08/01 15:02:04 - mmengine - INFO - Epoch(train) [58][620/940] lr: 1.0000e-03 eta: 9:57:58 time: 0.8833 data_time: 0.0379 memory: 21548 grad_norm: 4.1757 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8966 loss: 0.8966 2022/08/01 15:02:21 - mmengine - INFO - Epoch(train) [58][640/940] lr: 1.0000e-03 eta: 9:57:40 time: 0.8550 data_time: 0.0399 memory: 21548 grad_norm: 4.2117 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8593 loss: 0.8593 2022/08/01 15:02:41 - mmengine - INFO - Epoch(train) [58][660/940] lr: 1.0000e-03 eta: 9:57:23 time: 1.0076 data_time: 0.0390 memory: 21548 grad_norm: 4.3269 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.8600 loss: 0.8600 2022/08/01 15:03:02 - mmengine - INFO - Epoch(train) [58][680/940] lr: 1.0000e-03 eta: 9:57:07 time: 1.0586 data_time: 0.0370 memory: 21548 grad_norm: 4.1456 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8664 loss: 0.8664 2022/08/01 15:03:25 - mmengine - INFO - Epoch(train) [58][700/940] lr: 1.0000e-03 eta: 9:56:53 time: 1.1355 data_time: 0.0386 memory: 21548 grad_norm: 4.1611 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8486 loss: 0.8486 2022/08/01 15:03:42 - mmengine - INFO - Epoch(train) [58][720/940] lr: 1.0000e-03 eta: 9:56:34 time: 0.8500 data_time: 0.0304 memory: 21548 grad_norm: 4.2395 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7406 loss: 0.7406 2022/08/01 15:03:58 - mmengine - INFO - Epoch(train) [58][740/940] lr: 1.0000e-03 eta: 9:56:14 time: 0.7827 data_time: 0.0343 memory: 21548 grad_norm: 4.2754 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9130 loss: 0.9130 2022/08/01 15:04:16 - mmengine - INFO - Epoch(train) [58][760/940] lr: 1.0000e-03 eta: 9:55:57 time: 0.9443 data_time: 0.0328 memory: 21548 grad_norm: 4.1868 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 0.8693 loss: 0.8693 2022/08/01 15:04:32 - mmengine - INFO - Epoch(train) [58][780/940] lr: 1.0000e-03 eta: 9:55:37 time: 0.7895 data_time: 0.0340 memory: 21548 grad_norm: 4.2220 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8256 loss: 0.8256 2022/08/01 15:04:50 - mmengine - INFO - Epoch(train) [58][800/940] lr: 1.0000e-03 eta: 9:55:19 time: 0.8787 data_time: 0.0371 memory: 21548 grad_norm: 4.1940 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8131 loss: 0.8131 2022/08/01 15:05:05 - mmengine - INFO - Epoch(train) [58][820/940] lr: 1.0000e-03 eta: 9:54:59 time: 0.7731 data_time: 0.0333 memory: 21548 grad_norm: 4.2479 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8858 loss: 0.8858 2022/08/01 15:05:25 - mmengine - INFO - Epoch(train) [58][840/940] lr: 1.0000e-03 eta: 9:54:42 time: 0.9907 data_time: 0.0437 memory: 21548 grad_norm: 4.3055 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8328 loss: 0.8328 2022/08/01 15:05:40 - mmengine - INFO - Epoch(train) [58][860/940] lr: 1.0000e-03 eta: 9:54:22 time: 0.7266 data_time: 0.0294 memory: 21548 grad_norm: 4.1535 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8342 loss: 0.8342 2022/08/01 15:05:58 - mmengine - INFO - Epoch(train) [58][880/940] lr: 1.0000e-03 eta: 9:54:04 time: 0.9043 data_time: 0.0377 memory: 21548 grad_norm: 4.1764 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7416 loss: 0.7416 2022/08/01 15:06:15 - mmengine - INFO - Epoch(train) [58][900/940] lr: 1.0000e-03 eta: 9:53:45 time: 0.8697 data_time: 0.0380 memory: 21548 grad_norm: 4.2296 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9455 loss: 0.9455 2022/08/01 15:06:32 - mmengine - INFO - Epoch(train) [58][920/940] lr: 1.0000e-03 eta: 9:53:26 time: 0.8511 data_time: 0.0426 memory: 21548 grad_norm: 4.2815 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8771 loss: 0.8771 2022/08/01 15:06:47 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 15:06:47 - mmengine - INFO - Epoch(train) [58][940/940] lr: 1.0000e-03 eta: 9:53:06 time: 0.7276 data_time: 0.0282 memory: 21548 grad_norm: 4.5556 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.8245 loss: 0.8245 2022/08/01 15:07:07 - mmengine - INFO - Epoch(val) [58][20/78] eta: 0:00:58 time: 1.0062 data_time: 0.8799 memory: 3271 2022/08/01 15:07:21 - mmengine - INFO - Epoch(val) [58][40/78] eta: 0:00:26 time: 0.6961 data_time: 0.5672 memory: 3271 2022/08/01 15:07:40 - mmengine - INFO - Epoch(val) [58][60/78] eta: 0:00:17 time: 0.9613 data_time: 0.8267 memory: 3271 2022/08/01 15:07:56 - mmengine - INFO - Epoch(val) [58][78/78] acc/top1: 0.7150 acc/top5: 0.9005 acc/mean1: 0.7149 2022/08/01 15:08:21 - mmengine - INFO - Epoch(train) [59][20/940] lr: 1.0000e-03 eta: 9:52:53 time: 1.2768 data_time: 0.8133 memory: 21548 grad_norm: 4.1920 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8270 loss: 0.8270 2022/08/01 15:08:36 - mmengine - INFO - Epoch(train) [59][40/940] lr: 1.0000e-03 eta: 9:52:33 time: 0.7347 data_time: 0.2092 memory: 21548 grad_norm: 4.1371 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7749 loss: 0.7749 2022/08/01 15:08:54 - mmengine - INFO - Epoch(train) [59][60/940] lr: 1.0000e-03 eta: 9:52:15 time: 0.8984 data_time: 0.1728 memory: 21548 grad_norm: 4.1798 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8039 loss: 0.8039 2022/08/01 15:09:09 - mmengine - INFO - Epoch(train) [59][80/940] lr: 1.0000e-03 eta: 9:51:55 time: 0.7525 data_time: 0.0980 memory: 21548 grad_norm: 4.1487 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8318 loss: 0.8318 2022/08/01 15:09:27 - mmengine - INFO - Epoch(train) [59][100/940] lr: 1.0000e-03 eta: 9:51:37 time: 0.9162 data_time: 0.0405 memory: 21548 grad_norm: 4.1913 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8622 loss: 0.8622 2022/08/01 15:09:44 - mmengine - INFO - Epoch(train) [59][120/940] lr: 1.0000e-03 eta: 9:51:18 time: 0.8228 data_time: 0.0354 memory: 21548 grad_norm: 4.1846 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7757 loss: 0.7757 2022/08/01 15:10:03 - mmengine - INFO - Epoch(train) [59][140/940] lr: 1.0000e-03 eta: 9:51:00 time: 0.9600 data_time: 0.0405 memory: 21548 grad_norm: 4.1473 top1_acc: 0.7500 top5_acc: 0.7812 loss_cls: 0.9090 loss: 0.9090 2022/08/01 15:10:19 - mmengine - INFO - Epoch(train) [59][160/940] lr: 1.0000e-03 eta: 9:50:41 time: 0.8306 data_time: 0.0347 memory: 21548 grad_norm: 4.2395 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8074 loss: 0.8074 2022/08/01 15:10:37 - mmengine - INFO - Epoch(train) [59][180/940] lr: 1.0000e-03 eta: 9:50:23 time: 0.8706 data_time: 0.0362 memory: 21548 grad_norm: 4.2571 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8964 loss: 0.8964 2022/08/01 15:10:53 - mmengine - INFO - Epoch(train) [59][200/940] lr: 1.0000e-03 eta: 9:50:03 time: 0.7828 data_time: 0.0427 memory: 21548 grad_norm: 4.0687 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8170 loss: 0.8170 2022/08/01 15:11:11 - mmengine - INFO - Epoch(train) [59][220/940] lr: 1.0000e-03 eta: 9:49:45 time: 0.9206 data_time: 0.0371 memory: 21548 grad_norm: 4.0832 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9042 loss: 0.9042 2022/08/01 15:11:28 - mmengine - INFO - Epoch(train) [59][240/940] lr: 1.0000e-03 eta: 9:49:27 time: 0.8647 data_time: 0.0374 memory: 21548 grad_norm: 4.3496 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9306 loss: 0.9306 2022/08/01 15:11:46 - mmengine - INFO - Epoch(train) [59][260/940] lr: 1.0000e-03 eta: 9:49:08 time: 0.8616 data_time: 0.0373 memory: 21548 grad_norm: 4.1307 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8418 loss: 0.8418 2022/08/01 15:12:04 - mmengine - INFO - Epoch(train) [59][280/940] lr: 1.0000e-03 eta: 9:48:51 time: 0.9321 data_time: 0.0419 memory: 21548 grad_norm: 4.1398 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.7849 loss: 0.7849 2022/08/01 15:12:20 - mmengine - INFO - Epoch(train) [59][300/940] lr: 1.0000e-03 eta: 9:48:31 time: 0.7712 data_time: 0.0382 memory: 21548 grad_norm: 4.1816 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8704 loss: 0.8704 2022/08/01 15:12:39 - mmengine - INFO - Epoch(train) [59][320/940] lr: 1.0000e-03 eta: 9:48:14 time: 0.9556 data_time: 0.0336 memory: 21548 grad_norm: 4.0927 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8549 loss: 0.8549 2022/08/01 15:12:57 - mmengine - INFO - Epoch(train) [59][340/940] lr: 1.0000e-03 eta: 9:47:56 time: 0.9267 data_time: 0.0425 memory: 21548 grad_norm: 4.1640 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7703 loss: 0.7703 2022/08/01 15:13:14 - mmengine - INFO - Epoch(train) [59][360/940] lr: 1.0000e-03 eta: 9:47:37 time: 0.8284 data_time: 0.0587 memory: 21548 grad_norm: 4.2922 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8594 loss: 0.8594 2022/08/01 15:13:30 - mmengine - INFO - Epoch(train) [59][380/940] lr: 1.0000e-03 eta: 9:47:18 time: 0.8281 data_time: 0.0364 memory: 21548 grad_norm: 4.2040 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8099 loss: 0.8099 2022/08/01 15:13:48 - mmengine - INFO - Epoch(train) [59][400/940] lr: 1.0000e-03 eta: 9:46:59 time: 0.8663 data_time: 0.0474 memory: 21548 grad_norm: 4.1674 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.8533 loss: 0.8533 2022/08/01 15:14:04 - mmengine - INFO - Epoch(train) [59][420/940] lr: 1.0000e-03 eta: 9:46:40 time: 0.8043 data_time: 0.0415 memory: 21548 grad_norm: 4.1694 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7891 loss: 0.7891 2022/08/01 15:14:22 - mmengine - INFO - Epoch(train) [59][440/940] lr: 1.0000e-03 eta: 9:46:22 time: 0.9048 data_time: 0.0395 memory: 21548 grad_norm: 4.2357 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8200 loss: 0.8200 2022/08/01 15:14:39 - mmengine - INFO - Epoch(train) [59][460/940] lr: 1.0000e-03 eta: 9:46:03 time: 0.8397 data_time: 0.0316 memory: 21548 grad_norm: 4.1678 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.8152 loss: 0.8152 2022/08/01 15:14:56 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 15:14:56 - mmengine - INFO - Epoch(train) [59][480/940] lr: 1.0000e-03 eta: 9:45:45 time: 0.8742 data_time: 0.0472 memory: 21548 grad_norm: 4.1759 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8478 loss: 0.8478 2022/08/01 15:15:12 - mmengine - INFO - Epoch(train) [59][500/940] lr: 1.0000e-03 eta: 9:45:25 time: 0.8041 data_time: 0.0323 memory: 21548 grad_norm: 4.2768 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8799 loss: 0.8799 2022/08/01 15:15:30 - mmengine - INFO - Epoch(train) [59][520/940] lr: 1.0000e-03 eta: 9:45:07 time: 0.8864 data_time: 0.0419 memory: 21548 grad_norm: 4.1609 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8712 loss: 0.8712 2022/08/01 15:15:48 - mmengine - INFO - Epoch(train) [59][540/940] lr: 1.0000e-03 eta: 9:44:49 time: 0.8956 data_time: 0.0323 memory: 21548 grad_norm: 4.1830 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8049 loss: 0.8049 2022/08/01 15:16:06 - mmengine - INFO - Epoch(train) [59][560/940] lr: 1.0000e-03 eta: 9:44:31 time: 0.9004 data_time: 0.0489 memory: 21548 grad_norm: 4.2977 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8247 loss: 0.8247 2022/08/01 15:16:22 - mmengine - INFO - Epoch(train) [59][580/940] lr: 1.0000e-03 eta: 9:44:11 time: 0.8020 data_time: 0.0333 memory: 21548 grad_norm: 4.3358 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9236 loss: 0.9236 2022/08/01 15:16:41 - mmengine - INFO - Epoch(train) [59][600/940] lr: 1.0000e-03 eta: 9:43:54 time: 0.9447 data_time: 0.0398 memory: 21548 grad_norm: 4.3665 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7961 loss: 0.7961 2022/08/01 15:16:57 - mmengine - INFO - Epoch(train) [59][620/940] lr: 1.0000e-03 eta: 9:43:35 time: 0.7976 data_time: 0.0341 memory: 21548 grad_norm: 4.3270 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9314 loss: 0.9314 2022/08/01 15:17:15 - mmengine - INFO - Epoch(train) [59][640/940] lr: 1.0000e-03 eta: 9:43:16 time: 0.8927 data_time: 0.0378 memory: 21548 grad_norm: 4.2197 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9054 loss: 0.9054 2022/08/01 15:17:42 - mmengine - INFO - Epoch(train) [59][660/940] lr: 1.0000e-03 eta: 9:43:05 time: 1.3735 data_time: 0.0326 memory: 21548 grad_norm: 4.2751 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9585 loss: 0.9585 2022/08/01 15:18:02 - mmengine - INFO - Epoch(train) [59][680/940] lr: 1.0000e-03 eta: 9:42:48 time: 0.9744 data_time: 0.0397 memory: 21548 grad_norm: 4.3465 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7768 loss: 0.7768 2022/08/01 15:18:18 - mmengine - INFO - Epoch(train) [59][700/940] lr: 1.0000e-03 eta: 9:42:28 time: 0.7928 data_time: 0.0386 memory: 21548 grad_norm: 4.2875 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8212 loss: 0.8212 2022/08/01 15:18:36 - mmengine - INFO - Epoch(train) [59][720/940] lr: 1.0000e-03 eta: 9:42:11 time: 0.9429 data_time: 0.0380 memory: 21548 grad_norm: 4.2341 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7908 loss: 0.7908 2022/08/01 15:18:51 - mmengine - INFO - Epoch(train) [59][740/940] lr: 1.0000e-03 eta: 9:41:51 time: 0.7518 data_time: 0.0329 memory: 21548 grad_norm: 4.2582 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8501 loss: 0.8501 2022/08/01 15:19:10 - mmengine - INFO - Epoch(train) [59][760/940] lr: 1.0000e-03 eta: 9:41:33 time: 0.9345 data_time: 0.0305 memory: 21548 grad_norm: 4.2931 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8807 loss: 0.8807 2022/08/01 15:19:25 - mmengine - INFO - Epoch(train) [59][780/940] lr: 1.0000e-03 eta: 9:41:13 time: 0.7496 data_time: 0.0360 memory: 21548 grad_norm: 4.1804 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8786 loss: 0.8786 2022/08/01 15:19:43 - mmengine - INFO - Epoch(train) [59][800/940] lr: 1.0000e-03 eta: 9:40:55 time: 0.9163 data_time: 0.0321 memory: 21548 grad_norm: 4.0679 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7445 loss: 0.7445 2022/08/01 15:19:58 - mmengine - INFO - Epoch(train) [59][820/940] lr: 1.0000e-03 eta: 9:40:35 time: 0.7388 data_time: 0.0438 memory: 21548 grad_norm: 4.3982 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8730 loss: 0.8730 2022/08/01 15:20:18 - mmengine - INFO - Epoch(train) [59][840/940] lr: 1.0000e-03 eta: 9:40:18 time: 0.9960 data_time: 0.0306 memory: 21548 grad_norm: 4.2618 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8421 loss: 0.8421 2022/08/01 15:20:33 - mmengine - INFO - Epoch(train) [59][860/940] lr: 1.0000e-03 eta: 9:39:58 time: 0.7519 data_time: 0.0407 memory: 21548 grad_norm: 4.2359 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8573 loss: 0.8573 2022/08/01 15:20:54 - mmengine - INFO - Epoch(train) [59][880/940] lr: 1.0000e-03 eta: 9:39:42 time: 1.0281 data_time: 0.0291 memory: 21548 grad_norm: 4.1375 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7687 loss: 0.7687 2022/08/01 15:21:09 - mmengine - INFO - Epoch(train) [59][900/940] lr: 1.0000e-03 eta: 9:39:22 time: 0.7363 data_time: 0.0361 memory: 21548 grad_norm: 4.2021 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8150 loss: 0.8150 2022/08/01 15:21:28 - mmengine - INFO - Epoch(train) [59][920/940] lr: 1.0000e-03 eta: 9:39:05 time: 0.9859 data_time: 0.0345 memory: 21548 grad_norm: 4.2910 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8021 loss: 0.8021 2022/08/01 15:21:40 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 15:21:40 - mmengine - INFO - Epoch(train) [59][940/940] lr: 1.0000e-03 eta: 9:38:43 time: 0.5886 data_time: 0.0271 memory: 21548 grad_norm: 4.5168 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9144 loss: 0.9144 2022/08/01 15:22:01 - mmengine - INFO - Epoch(val) [59][20/78] eta: 0:00:59 time: 1.0321 data_time: 0.9058 memory: 3271 2022/08/01 15:22:15 - mmengine - INFO - Epoch(val) [59][40/78] eta: 0:00:26 time: 0.6980 data_time: 0.5674 memory: 3271 2022/08/01 15:22:33 - mmengine - INFO - Epoch(val) [59][60/78] eta: 0:00:16 time: 0.9333 data_time: 0.7852 memory: 3271 2022/08/01 15:22:48 - mmengine - INFO - Epoch(val) [59][78/78] acc/top1: 0.7144 acc/top5: 0.8985 acc/mean1: 0.7143 2022/08/01 15:23:11 - mmengine - INFO - Epoch(train) [60][20/940] lr: 1.0000e-03 eta: 9:38:27 time: 1.1172 data_time: 0.5978 memory: 21548 grad_norm: 4.3068 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8664 loss: 0.8664 2022/08/01 15:23:27 - mmengine - INFO - Epoch(train) [60][40/940] lr: 1.0000e-03 eta: 9:38:08 time: 0.7935 data_time: 0.2132 memory: 21548 grad_norm: 4.2823 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8075 loss: 0.8075 2022/08/01 15:23:46 - mmengine - INFO - Epoch(train) [60][60/940] lr: 1.0000e-03 eta: 9:37:51 time: 0.9665 data_time: 0.1749 memory: 21548 grad_norm: 4.1739 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8273 loss: 0.8273 2022/08/01 15:24:01 - mmengine - INFO - Epoch(train) [60][80/940] lr: 1.0000e-03 eta: 9:37:31 time: 0.7323 data_time: 0.0660 memory: 21548 grad_norm: 4.1726 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7521 loss: 0.7521 2022/08/01 15:24:20 - mmengine - INFO - Epoch(train) [60][100/940] lr: 1.0000e-03 eta: 9:37:14 time: 0.9841 data_time: 0.1357 memory: 21548 grad_norm: 4.2422 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7712 loss: 0.7712 2022/08/01 15:24:36 - mmengine - INFO - Epoch(train) [60][120/940] lr: 1.0000e-03 eta: 9:36:54 time: 0.7917 data_time: 0.0345 memory: 21548 grad_norm: 4.1840 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.8257 loss: 0.8257 2022/08/01 15:25:03 - mmengine - INFO - Epoch(train) [60][140/940] lr: 1.0000e-03 eta: 9:36:42 time: 1.3365 data_time: 0.0300 memory: 21548 grad_norm: 4.2427 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8737 loss: 0.8737 2022/08/01 15:25:18 - mmengine - INFO - Epoch(train) [60][160/940] lr: 1.0000e-03 eta: 9:36:22 time: 0.7320 data_time: 0.0366 memory: 21548 grad_norm: 4.2481 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9243 loss: 0.9243 2022/08/01 15:25:38 - mmengine - INFO - Epoch(train) [60][180/940] lr: 1.0000e-03 eta: 9:36:05 time: 1.0122 data_time: 0.0365 memory: 21548 grad_norm: 4.3116 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7972 loss: 0.7972 2022/08/01 15:25:53 - mmengine - INFO - Epoch(train) [60][200/940] lr: 1.0000e-03 eta: 9:35:45 time: 0.7728 data_time: 0.0358 memory: 21548 grad_norm: 4.2248 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7737 loss: 0.7737 2022/08/01 15:26:11 - mmengine - INFO - Epoch(train) [60][220/940] lr: 1.0000e-03 eta: 9:35:27 time: 0.8640 data_time: 0.0343 memory: 21548 grad_norm: 4.1371 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7482 loss: 0.7482 2022/08/01 15:26:26 - mmengine - INFO - Epoch(train) [60][240/940] lr: 1.0000e-03 eta: 9:35:07 time: 0.7906 data_time: 0.0476 memory: 21548 grad_norm: 4.1662 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7886 loss: 0.7886 2022/08/01 15:26:45 - mmengine - INFO - Epoch(train) [60][260/940] lr: 1.0000e-03 eta: 9:34:50 time: 0.9262 data_time: 0.0570 memory: 21548 grad_norm: 4.1917 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8760 loss: 0.8760 2022/08/01 15:27:00 - mmengine - INFO - Epoch(train) [60][280/940] lr: 1.0000e-03 eta: 9:34:30 time: 0.7728 data_time: 0.0373 memory: 21548 grad_norm: 4.1797 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7740 loss: 0.7740 2022/08/01 15:27:20 - mmengine - INFO - Epoch(train) [60][300/940] lr: 1.0000e-03 eta: 9:34:13 time: 0.9882 data_time: 0.0391 memory: 21548 grad_norm: 4.1661 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7908 loss: 0.7908 2022/08/01 15:27:36 - mmengine - INFO - Epoch(train) [60][320/940] lr: 1.0000e-03 eta: 9:33:54 time: 0.7846 data_time: 0.0327 memory: 21548 grad_norm: 4.2914 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8480 loss: 0.8480 2022/08/01 15:27:55 - mmengine - INFO - Epoch(train) [60][340/940] lr: 1.0000e-03 eta: 9:33:36 time: 0.9368 data_time: 0.0381 memory: 21548 grad_norm: 4.1890 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8023 loss: 0.8023 2022/08/01 15:28:10 - mmengine - INFO - Epoch(train) [60][360/940] lr: 1.0000e-03 eta: 9:33:16 time: 0.7582 data_time: 0.0323 memory: 21548 grad_norm: 4.2305 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8495 loss: 0.8495 2022/08/01 15:28:28 - mmengine - INFO - Epoch(train) [60][380/940] lr: 1.0000e-03 eta: 9:32:58 time: 0.9164 data_time: 0.0398 memory: 21548 grad_norm: 4.1581 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7726 loss: 0.7726 2022/08/01 15:28:43 - mmengine - INFO - Epoch(train) [60][400/940] lr: 1.0000e-03 eta: 9:32:38 time: 0.7324 data_time: 0.0365 memory: 21548 grad_norm: 4.2866 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7861 loss: 0.7861 2022/08/01 15:29:01 - mmengine - INFO - Epoch(train) [60][420/940] lr: 1.0000e-03 eta: 9:32:20 time: 0.9238 data_time: 0.0380 memory: 21548 grad_norm: 4.3931 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.7924 loss: 0.7924 2022/08/01 15:29:18 - mmengine - INFO - Epoch(train) [60][440/940] lr: 1.0000e-03 eta: 9:32:01 time: 0.8410 data_time: 0.0398 memory: 21548 grad_norm: 4.2581 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7561 loss: 0.7561 2022/08/01 15:29:37 - mmengine - INFO - Epoch(train) [60][460/940] lr: 1.0000e-03 eta: 9:31:44 time: 0.9418 data_time: 0.0514 memory: 21548 grad_norm: 4.2769 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8303 loss: 0.8303 2022/08/01 15:29:55 - mmengine - INFO - Epoch(train) [60][480/940] lr: 1.0000e-03 eta: 9:31:26 time: 0.9177 data_time: 0.0319 memory: 21548 grad_norm: 4.2934 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9141 loss: 0.9141 2022/08/01 15:30:16 - mmengine - INFO - Epoch(train) [60][500/940] lr: 1.0000e-03 eta: 9:31:10 time: 1.0460 data_time: 0.0400 memory: 21548 grad_norm: 4.1673 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8717 loss: 0.8717 2022/08/01 15:30:32 - mmengine - INFO - Epoch(train) [60][520/940] lr: 1.0000e-03 eta: 9:30:50 time: 0.7854 data_time: 0.0426 memory: 21548 grad_norm: 4.3106 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8165 loss: 0.8165 2022/08/01 15:30:50 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 15:30:50 - mmengine - INFO - Epoch(train) [60][540/940] lr: 1.0000e-03 eta: 9:30:32 time: 0.8856 data_time: 0.0329 memory: 21548 grad_norm: 4.1615 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 0.7732 loss: 0.7732 2022/08/01 15:31:06 - mmengine - INFO - Epoch(train) [60][560/940] lr: 1.0000e-03 eta: 9:30:13 time: 0.8081 data_time: 0.0519 memory: 21548 grad_norm: 4.2611 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8307 loss: 0.8307 2022/08/01 15:31:24 - mmengine - INFO - Epoch(train) [60][580/940] lr: 1.0000e-03 eta: 9:29:55 time: 0.9106 data_time: 0.0346 memory: 21548 grad_norm: 4.2463 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8660 loss: 0.8660 2022/08/01 15:31:40 - mmengine - INFO - Epoch(train) [60][600/940] lr: 1.0000e-03 eta: 9:29:36 time: 0.8077 data_time: 0.0379 memory: 21548 grad_norm: 4.2935 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7741 loss: 0.7741 2022/08/01 15:31:58 - mmengine - INFO - Epoch(train) [60][620/940] lr: 1.0000e-03 eta: 9:29:18 time: 0.9026 data_time: 0.0309 memory: 21548 grad_norm: 4.2597 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7571 loss: 0.7571 2022/08/01 15:32:14 - mmengine - INFO - Epoch(train) [60][640/940] lr: 1.0000e-03 eta: 9:28:58 time: 0.7710 data_time: 0.0387 memory: 21548 grad_norm: 4.2254 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7867 loss: 0.7867 2022/08/01 15:32:31 - mmengine - INFO - Epoch(train) [60][660/940] lr: 1.0000e-03 eta: 9:28:39 time: 0.8577 data_time: 0.0327 memory: 21548 grad_norm: 4.1888 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8566 loss: 0.8566 2022/08/01 15:32:46 - mmengine - INFO - Epoch(train) [60][680/940] lr: 1.0000e-03 eta: 9:28:20 time: 0.7733 data_time: 0.0435 memory: 21548 grad_norm: 4.3971 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8401 loss: 0.8401 2022/08/01 15:33:03 - mmengine - INFO - Epoch(train) [60][700/940] lr: 1.0000e-03 eta: 9:28:01 time: 0.8525 data_time: 0.0411 memory: 21548 grad_norm: 4.2385 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7948 loss: 0.7948 2022/08/01 15:33:23 - mmengine - INFO - Epoch(train) [60][720/940] lr: 1.0000e-03 eta: 9:27:44 time: 0.9590 data_time: 0.0458 memory: 21548 grad_norm: 4.3172 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8453 loss: 0.8453 2022/08/01 15:33:38 - mmengine - INFO - Epoch(train) [60][740/940] lr: 1.0000e-03 eta: 9:27:24 time: 0.7699 data_time: 0.0361 memory: 21548 grad_norm: 4.2578 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9545 loss: 0.9545 2022/08/01 15:33:59 - mmengine - INFO - Epoch(train) [60][760/940] lr: 1.0000e-03 eta: 9:27:08 time: 1.0595 data_time: 0.2446 memory: 21548 grad_norm: 4.1934 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7554 loss: 0.7554 2022/08/01 15:34:17 - mmengine - INFO - Epoch(train) [60][780/940] lr: 1.0000e-03 eta: 9:26:50 time: 0.9140 data_time: 0.4518 memory: 21548 grad_norm: 4.2801 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8038 loss: 0.8038 2022/08/01 15:34:32 - mmengine - INFO - Epoch(train) [60][800/940] lr: 1.0000e-03 eta: 9:26:30 time: 0.7313 data_time: 0.2905 memory: 21548 grad_norm: 4.3039 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8151 loss: 0.8151 2022/08/01 15:34:51 - mmengine - INFO - Epoch(train) [60][820/940] lr: 1.0000e-03 eta: 9:26:13 time: 0.9401 data_time: 0.4722 memory: 21548 grad_norm: 4.2575 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8155 loss: 0.8155 2022/08/01 15:35:15 - mmengine - INFO - Epoch(train) [60][840/940] lr: 1.0000e-03 eta: 9:25:59 time: 1.2120 data_time: 0.2948 memory: 21548 grad_norm: 4.1288 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8246 loss: 0.8246 2022/08/01 15:42:50 - mmengine - INFO - Epoch(train) [60][860/940] lr: 1.0000e-03 eta: 9:30:33 time: 22.7255 data_time: 0.0420 memory: 21548 grad_norm: 4.3826 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7407 loss: 0.7407 2022/08/01 15:43:05 - mmengine - INFO - Epoch(train) [60][880/940] lr: 1.0000e-03 eta: 9:30:13 time: 0.7573 data_time: 0.0349 memory: 21548 grad_norm: 4.2513 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9468 loss: 0.9468 2022/08/01 15:43:24 - mmengine - INFO - Epoch(train) [60][900/940] lr: 1.0000e-03 eta: 9:29:55 time: 0.9710 data_time: 0.0341 memory: 21548 grad_norm: 4.3653 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.7847 loss: 0.7847 2022/08/01 15:43:40 - mmengine - INFO - Epoch(train) [60][920/940] lr: 1.0000e-03 eta: 9:29:35 time: 0.7881 data_time: 0.0346 memory: 21548 grad_norm: 4.3915 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8359 loss: 0.8359 2022/08/01 15:43:53 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 15:43:53 - mmengine - INFO - Epoch(train) [60][940/940] lr: 1.0000e-03 eta: 9:29:14 time: 0.6615 data_time: 0.0232 memory: 21548 grad_norm: 4.6654 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 0.9111 loss: 0.9111 2022/08/01 15:43:53 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/08/01 15:44:14 - mmengine - INFO - Epoch(val) [60][20/78] eta: 0:00:55 time: 0.9621 data_time: 0.8455 memory: 3271 2022/08/01 15:44:27 - mmengine - INFO - Epoch(val) [60][40/78] eta: 0:00:23 time: 0.6273 data_time: 0.5060 memory: 3271 2022/08/01 15:44:43 - mmengine - INFO - Epoch(val) [60][60/78] eta: 0:00:14 time: 0.8185 data_time: 0.7063 memory: 3271 2022/08/01 15:50:00 - mmengine - INFO - Epoch(val) [60][78/78] acc/top1: 0.7144 acc/top5: 0.9005 acc/mean1: 0.7143 2022/08/01 15:50:23 - mmengine - INFO - Epoch(train) [61][20/940] lr: 1.0000e-03 eta: 9:28:58 time: 1.1051 data_time: 0.7021 memory: 21548 grad_norm: 4.2786 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7780 loss: 0.7780 2022/08/01 15:50:37 - mmengine - INFO - Epoch(train) [61][40/940] lr: 1.0000e-03 eta: 9:28:38 time: 0.7130 data_time: 0.3165 memory: 21548 grad_norm: 4.2996 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8498 loss: 0.8498 2022/08/01 15:50:57 - mmengine - INFO - Epoch(train) [61][60/940] lr: 1.0000e-03 eta: 9:28:21 time: 0.9862 data_time: 0.5720 memory: 21548 grad_norm: 4.2873 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8727 loss: 0.8727 2022/08/01 15:51:12 - mmengine - INFO - Epoch(train) [61][80/940] lr: 1.0000e-03 eta: 9:28:00 time: 0.7519 data_time: 0.3469 memory: 21548 grad_norm: 4.1817 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8316 loss: 0.8316 2022/08/01 15:51:31 - mmengine - INFO - Epoch(train) [61][100/940] lr: 1.0000e-03 eta: 9:27:43 time: 0.9853 data_time: 0.5251 memory: 21548 grad_norm: 4.2928 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8010 loss: 0.8010 2022/08/01 15:51:47 - mmengine - INFO - Epoch(train) [61][120/940] lr: 1.0000e-03 eta: 9:27:23 time: 0.7763 data_time: 0.1144 memory: 21548 grad_norm: 4.3707 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 0.8686 loss: 0.8686 2022/08/01 15:52:07 - mmengine - INFO - Epoch(train) [61][140/940] lr: 1.0000e-03 eta: 9:27:06 time: 0.9913 data_time: 0.0672 memory: 21548 grad_norm: 4.2939 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8159 loss: 0.8159 2022/08/01 15:52:22 - mmengine - INFO - Epoch(train) [61][160/940] lr: 1.0000e-03 eta: 9:26:46 time: 0.7583 data_time: 0.0330 memory: 21548 grad_norm: 4.2793 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8219 loss: 0.8219 2022/08/01 15:52:41 - mmengine - INFO - Epoch(train) [61][180/940] lr: 1.0000e-03 eta: 9:26:28 time: 0.9516 data_time: 0.0368 memory: 21548 grad_norm: 4.2647 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8472 loss: 0.8472 2022/08/01 15:52:56 - mmengine - INFO - Epoch(train) [61][200/940] lr: 1.0000e-03 eta: 9:26:08 time: 0.7646 data_time: 0.0373 memory: 21548 grad_norm: 4.1215 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7677 loss: 0.7677 2022/08/01 15:53:16 - mmengine - INFO - Epoch(train) [61][220/940] lr: 1.0000e-03 eta: 9:25:51 time: 0.9630 data_time: 0.0599 memory: 21548 grad_norm: 4.1281 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8083 loss: 0.8083 2022/08/01 15:53:36 - mmengine - INFO - Epoch(train) [61][240/940] lr: 1.0000e-03 eta: 9:25:34 time: 1.0324 data_time: 0.0489 memory: 21548 grad_norm: 4.2529 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7703 loss: 0.7703 2022/08/01 15:53:54 - mmengine - INFO - Epoch(train) [61][260/940] lr: 1.0000e-03 eta: 9:25:16 time: 0.8829 data_time: 0.0315 memory: 21548 grad_norm: 4.2826 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8606 loss: 0.8606 2022/08/01 15:54:09 - mmengine - INFO - Epoch(train) [61][280/940] lr: 1.0000e-03 eta: 9:24:56 time: 0.7662 data_time: 0.0337 memory: 21548 grad_norm: 4.3162 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7447 loss: 0.7447 2022/08/01 15:54:29 - mmengine - INFO - Epoch(train) [61][300/940] lr: 1.0000e-03 eta: 9:24:39 time: 0.9894 data_time: 0.3969 memory: 21548 grad_norm: 4.2108 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8572 loss: 0.8572 2022/08/01 15:54:45 - mmengine - INFO - Epoch(train) [61][320/940] lr: 1.0000e-03 eta: 9:24:19 time: 0.8213 data_time: 0.2859 memory: 21548 grad_norm: 4.2751 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7632 loss: 0.7632 2022/08/01 15:55:04 - mmengine - INFO - Epoch(train) [61][340/940] lr: 1.0000e-03 eta: 9:24:02 time: 0.9458 data_time: 0.5114 memory: 21548 grad_norm: 4.2806 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.6619 loss: 0.6619 2022/08/01 15:55:21 - mmengine - INFO - Epoch(train) [61][360/940] lr: 1.0000e-03 eta: 9:23:42 time: 0.8098 data_time: 0.3956 memory: 21548 grad_norm: 4.1242 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8486 loss: 0.8486 2022/08/01 15:55:40 - mmengine - INFO - Epoch(train) [61][380/940] lr: 1.0000e-03 eta: 9:23:25 time: 0.9541 data_time: 0.5224 memory: 21548 grad_norm: 4.3449 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9489 loss: 0.9489 2022/08/01 15:55:55 - mmengine - INFO - Epoch(train) [61][400/940] lr: 1.0000e-03 eta: 9:23:04 time: 0.7460 data_time: 0.3125 memory: 21548 grad_norm: 4.2347 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7673 loss: 0.7673 2022/08/01 15:56:13 - mmengine - INFO - Epoch(train) [61][420/940] lr: 1.0000e-03 eta: 9:22:46 time: 0.9039 data_time: 0.4479 memory: 21548 grad_norm: 4.2108 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8070 loss: 0.8070 2022/08/01 15:56:29 - mmengine - INFO - Epoch(train) [61][440/940] lr: 1.0000e-03 eta: 9:22:27 time: 0.7937 data_time: 0.3528 memory: 21548 grad_norm: 4.3093 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8586 loss: 0.8586 2022/08/01 15:56:47 - mmengine - INFO - Epoch(train) [61][460/940] lr: 1.0000e-03 eta: 9:22:09 time: 0.9282 data_time: 0.4897 memory: 21548 grad_norm: 4.1898 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8135 loss: 0.8135 2022/08/01 15:57:03 - mmengine - INFO - Epoch(train) [61][480/940] lr: 1.0000e-03 eta: 9:21:49 time: 0.7952 data_time: 0.3532 memory: 21548 grad_norm: 4.2737 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8516 loss: 0.8516 2022/08/01 15:57:21 - mmengine - INFO - Epoch(train) [61][500/940] lr: 1.0000e-03 eta: 9:21:31 time: 0.9008 data_time: 0.4635 memory: 21548 grad_norm: 4.1567 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8260 loss: 0.8260 2022/08/01 15:57:36 - mmengine - INFO - Epoch(train) [61][520/940] lr: 1.0000e-03 eta: 9:21:11 time: 0.7647 data_time: 0.3328 memory: 21548 grad_norm: 4.2205 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7965 loss: 0.7965 2022/08/01 15:57:55 - mmengine - INFO - Epoch(train) [61][540/940] lr: 1.0000e-03 eta: 9:20:53 time: 0.9458 data_time: 0.5269 memory: 21548 grad_norm: 4.3063 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7858 loss: 0.7858 2022/08/01 15:58:11 - mmengine - INFO - Epoch(train) [61][560/940] lr: 1.0000e-03 eta: 9:20:33 time: 0.7772 data_time: 0.3317 memory: 21548 grad_norm: 4.3454 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.8208 loss: 0.8208 2022/08/01 15:58:29 - mmengine - INFO - Epoch(train) [61][580/940] lr: 1.0000e-03 eta: 9:20:15 time: 0.9000 data_time: 0.4426 memory: 21548 grad_norm: 4.0291 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7829 loss: 0.7829 2022/08/01 15:58:45 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 15:58:45 - mmengine - INFO - Epoch(train) [61][600/940] lr: 1.0000e-03 eta: 9:19:55 time: 0.7905 data_time: 0.2774 memory: 21548 grad_norm: 4.2484 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8305 loss: 0.8305 2022/08/01 15:59:02 - mmengine - INFO - Epoch(train) [61][620/940] lr: 1.0000e-03 eta: 9:19:37 time: 0.8662 data_time: 0.3792 memory: 21548 grad_norm: 4.3063 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8752 loss: 0.8752 2022/08/01 15:59:19 - mmengine - INFO - Epoch(train) [61][640/940] lr: 1.0000e-03 eta: 9:19:18 time: 0.8396 data_time: 0.1517 memory: 21548 grad_norm: 4.2309 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8884 loss: 0.8884 2022/08/01 15:59:36 - mmengine - INFO - Epoch(train) [61][660/940] lr: 1.0000e-03 eta: 9:18:58 time: 0.8411 data_time: 0.2364 memory: 21548 grad_norm: 4.2952 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8910 loss: 0.8910 2022/08/01 15:59:53 - mmengine - INFO - Epoch(train) [61][680/940] lr: 1.0000e-03 eta: 9:18:40 time: 0.8711 data_time: 0.1772 memory: 21548 grad_norm: 4.1659 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8501 loss: 0.8501 2022/08/01 16:00:10 - mmengine - INFO - Epoch(train) [61][700/940] lr: 1.0000e-03 eta: 9:18:21 time: 0.8709 data_time: 0.2716 memory: 21548 grad_norm: 4.2644 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8005 loss: 0.8005 2022/08/01 16:00:28 - mmengine - INFO - Epoch(train) [61][720/940] lr: 1.0000e-03 eta: 9:18:03 time: 0.8751 data_time: 0.1236 memory: 21548 grad_norm: 4.3725 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8995 loss: 0.8995 2022/08/01 16:00:44 - mmengine - INFO - Epoch(train) [61][740/940] lr: 1.0000e-03 eta: 9:17:43 time: 0.7810 data_time: 0.1366 memory: 21548 grad_norm: 4.3091 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9167 loss: 0.9167 2022/08/01 16:01:02 - mmengine - INFO - Epoch(train) [61][760/940] lr: 1.0000e-03 eta: 9:17:25 time: 0.9197 data_time: 0.1466 memory: 21548 grad_norm: 4.3478 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8276 loss: 0.8276 2022/08/01 16:01:19 - mmengine - INFO - Epoch(train) [61][780/940] lr: 1.0000e-03 eta: 9:17:06 time: 0.8645 data_time: 0.3377 memory: 21548 grad_norm: 4.2380 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.8426 loss: 0.8426 2022/08/01 16:01:36 - mmengine - INFO - Epoch(train) [61][800/940] lr: 1.0000e-03 eta: 9:16:47 time: 0.8293 data_time: 0.2492 memory: 21548 grad_norm: 4.3478 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8800 loss: 0.8800 2022/08/01 16:01:53 - mmengine - INFO - Epoch(train) [61][820/940] lr: 1.0000e-03 eta: 9:16:28 time: 0.8794 data_time: 0.3527 memory: 21548 grad_norm: 4.2778 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8172 loss: 0.8172 2022/08/01 16:02:10 - mmengine - INFO - Epoch(train) [61][840/940] lr: 1.0000e-03 eta: 9:16:09 time: 0.8353 data_time: 0.1412 memory: 21548 grad_norm: 4.3290 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8141 loss: 0.8141 2022/08/01 16:02:27 - mmengine - INFO - Epoch(train) [61][860/940] lr: 1.0000e-03 eta: 9:15:51 time: 0.8581 data_time: 0.2768 memory: 21548 grad_norm: 4.3383 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9508 loss: 0.9508 2022/08/01 16:02:43 - mmengine - INFO - Epoch(train) [61][880/940] lr: 1.0000e-03 eta: 9:15:31 time: 0.7658 data_time: 0.2036 memory: 21548 grad_norm: 4.2136 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7110 loss: 0.7110 2022/08/01 16:03:01 - mmengine - INFO - Epoch(train) [61][900/940] lr: 1.0000e-03 eta: 9:15:13 time: 0.9328 data_time: 0.3129 memory: 21548 grad_norm: 4.2600 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8493 loss: 0.8493 2022/08/01 16:03:18 - mmengine - INFO - Epoch(train) [61][920/940] lr: 1.0000e-03 eta: 9:14:54 time: 0.8259 data_time: 0.2959 memory: 21548 grad_norm: 4.1853 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7911 loss: 0.7911 2022/08/01 16:03:32 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 16:03:32 - mmengine - INFO - Epoch(train) [61][940/940] lr: 1.0000e-03 eta: 9:14:33 time: 0.7018 data_time: 0.1751 memory: 21548 grad_norm: 4.5207 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 0.8794 loss: 0.8794 2022/08/01 16:04:00 - mmengine - INFO - Epoch(val) [61][20/78] eta: 0:01:20 time: 1.3800 data_time: 1.2540 memory: 3271 2022/08/01 16:04:20 - mmengine - INFO - Epoch(val) [61][40/78] eta: 0:00:39 time: 1.0388 data_time: 0.9292 memory: 3271 2022/08/01 16:04:49 - mmengine - INFO - Epoch(val) [61][60/78] eta: 0:00:25 time: 1.4176 data_time: 1.3076 memory: 3271 2022/08/01 16:05:02 - mmengine - INFO - Epoch(val) [61][78/78] acc/top1: 0.7175 acc/top5: 0.9001 acc/mean1: 0.7174 2022/08/01 16:05:03 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_57.pth is removed 2022/08/01 16:05:06 - mmengine - INFO - The best checkpoint with 0.7175 acc/top1 at 62 epoch is saved to best_acc/top1_epoch_62.pth. 2022/08/01 16:05:31 - mmengine - INFO - Epoch(train) [62][20/940] lr: 1.0000e-03 eta: 9:14:19 time: 1.2590 data_time: 0.8096 memory: 21548 grad_norm: 4.1758 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.7219 loss: 0.7219 2022/08/01 16:05:45 - mmengine - INFO - Epoch(train) [62][40/940] lr: 1.0000e-03 eta: 9:13:58 time: 0.7034 data_time: 0.2796 memory: 21548 grad_norm: 4.1984 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8733 loss: 0.8733 2022/08/01 16:06:06 - mmengine - INFO - Epoch(train) [62][60/940] lr: 1.0000e-03 eta: 9:13:42 time: 1.0220 data_time: 0.5842 memory: 21548 grad_norm: 4.1819 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8008 loss: 0.8008 2022/08/01 16:06:22 - mmengine - INFO - Epoch(train) [62][80/940] lr: 1.0000e-03 eta: 9:13:22 time: 0.8111 data_time: 0.3776 memory: 21548 grad_norm: 4.2167 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8800 loss: 0.8800 2022/08/01 16:06:44 - mmengine - INFO - Epoch(train) [62][100/940] lr: 1.0000e-03 eta: 9:13:06 time: 1.0909 data_time: 0.6591 memory: 21548 grad_norm: 4.1882 top1_acc: 0.9062 top5_acc: 0.9062 loss_cls: 0.8006 loss: 0.8006 2022/08/01 16:07:03 - mmengine - INFO - Epoch(train) [62][120/940] lr: 1.0000e-03 eta: 9:12:49 time: 0.9587 data_time: 0.1367 memory: 21548 grad_norm: 4.3374 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8181 loss: 0.8181 2022/08/01 16:07:22 - mmengine - INFO - Epoch(train) [62][140/940] lr: 1.0000e-03 eta: 9:12:31 time: 0.9473 data_time: 0.1281 memory: 21548 grad_norm: 4.2458 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8762 loss: 0.8762 2022/08/01 16:07:38 - mmengine - INFO - Epoch(train) [62][160/940] lr: 1.0000e-03 eta: 9:12:12 time: 0.7859 data_time: 0.1348 memory: 21548 grad_norm: 4.2353 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9013 loss: 0.9013 2022/08/01 16:07:57 - mmengine - INFO - Epoch(train) [62][180/940] lr: 1.0000e-03 eta: 9:11:54 time: 0.9522 data_time: 0.1531 memory: 21548 grad_norm: 4.2789 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8632 loss: 0.8632 2022/08/01 16:08:13 - mmengine - INFO - Epoch(train) [62][200/940] lr: 1.0000e-03 eta: 9:11:35 time: 0.8161 data_time: 0.0931 memory: 21548 grad_norm: 4.2382 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8280 loss: 0.8280 2022/08/01 16:08:32 - mmengine - INFO - Epoch(train) [62][220/940] lr: 1.0000e-03 eta: 9:11:17 time: 0.9483 data_time: 0.0766 memory: 21548 grad_norm: 4.2573 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7659 loss: 0.7659 2022/08/01 16:08:48 - mmengine - INFO - Epoch(train) [62][240/940] lr: 1.0000e-03 eta: 9:10:58 time: 0.8167 data_time: 0.0637 memory: 21548 grad_norm: 4.2244 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8086 loss: 0.8086 2022/08/01 16:09:06 - mmengine - INFO - Epoch(train) [62][260/940] lr: 1.0000e-03 eta: 9:10:39 time: 0.8724 data_time: 0.0366 memory: 21548 grad_norm: 4.2421 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7831 loss: 0.7831 2022/08/01 16:09:21 - mmengine - INFO - Epoch(train) [62][280/940] lr: 1.0000e-03 eta: 9:10:19 time: 0.7639 data_time: 0.0309 memory: 21548 grad_norm: 4.3807 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8825 loss: 0.8825 2022/08/01 16:09:40 - mmengine - INFO - Epoch(train) [62][300/940] lr: 1.0000e-03 eta: 9:10:02 time: 0.9501 data_time: 0.0387 memory: 21548 grad_norm: 4.2183 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8229 loss: 0.8229 2022/08/01 16:09:56 - mmengine - INFO - Epoch(train) [62][320/940] lr: 1.0000e-03 eta: 9:09:42 time: 0.7785 data_time: 0.0305 memory: 21548 grad_norm: 4.1782 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8042 loss: 0.8042 2022/08/01 16:10:14 - mmengine - INFO - Epoch(train) [62][340/940] lr: 1.0000e-03 eta: 9:09:24 time: 0.9319 data_time: 0.0383 memory: 21548 grad_norm: 4.2802 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8972 loss: 0.8972 2022/08/01 16:10:30 - mmengine - INFO - Epoch(train) [62][360/940] lr: 1.0000e-03 eta: 9:09:04 time: 0.7733 data_time: 0.0444 memory: 21548 grad_norm: 4.3407 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7747 loss: 0.7747 2022/08/01 16:10:48 - mmengine - INFO - Epoch(train) [62][380/940] lr: 1.0000e-03 eta: 9:08:46 time: 0.8908 data_time: 0.0391 memory: 21548 grad_norm: 4.3044 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8610 loss: 0.8610 2022/08/01 16:11:04 - mmengine - INFO - Epoch(train) [62][400/940] lr: 1.0000e-03 eta: 9:08:26 time: 0.8171 data_time: 0.0362 memory: 21548 grad_norm: 4.2580 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8698 loss: 0.8698 2022/08/01 16:11:23 - mmengine - INFO - Epoch(train) [62][420/940] lr: 1.0000e-03 eta: 9:08:09 time: 0.9486 data_time: 0.0370 memory: 21548 grad_norm: 4.2096 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8900 loss: 0.8900 2022/08/01 16:11:38 - mmengine - INFO - Epoch(train) [62][440/940] lr: 1.0000e-03 eta: 9:07:49 time: 0.7578 data_time: 0.0334 memory: 21548 grad_norm: 4.3992 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.8420 loss: 0.8420 2022/08/01 16:11:57 - mmengine - INFO - Epoch(train) [62][460/940] lr: 1.0000e-03 eta: 9:07:31 time: 0.9497 data_time: 0.0373 memory: 21548 grad_norm: 4.1633 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.7365 loss: 0.7365 2022/08/01 16:12:12 - mmengine - INFO - Epoch(train) [62][480/940] lr: 1.0000e-03 eta: 9:07:11 time: 0.7675 data_time: 0.0387 memory: 21548 grad_norm: 4.3312 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8738 loss: 0.8738 2022/08/01 16:12:30 - mmengine - INFO - Epoch(train) [62][500/940] lr: 1.0000e-03 eta: 9:06:53 time: 0.8798 data_time: 0.0413 memory: 21548 grad_norm: 4.3409 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8052 loss: 0.8052 2022/08/01 16:12:48 - mmengine - INFO - Epoch(train) [62][520/940] lr: 1.0000e-03 eta: 9:06:34 time: 0.8879 data_time: 0.0437 memory: 21548 grad_norm: 4.3913 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8855 loss: 0.8855 2022/08/01 16:13:05 - mmengine - INFO - Epoch(train) [62][540/940] lr: 1.0000e-03 eta: 9:06:15 time: 0.8367 data_time: 0.0332 memory: 21548 grad_norm: 4.2250 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7632 loss: 0.7632 2022/08/01 16:13:24 - mmengine - INFO - Epoch(train) [62][560/940] lr: 1.0000e-03 eta: 9:05:58 time: 0.9528 data_time: 0.0347 memory: 21548 grad_norm: 4.2449 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.7457 loss: 0.7457 2022/08/01 16:13:41 - mmengine - INFO - Epoch(train) [62][580/940] lr: 1.0000e-03 eta: 9:05:39 time: 0.8546 data_time: 0.1009 memory: 21548 grad_norm: 4.3371 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8675 loss: 0.8675 2022/08/01 16:14:00 - mmengine - INFO - Epoch(train) [62][600/940] lr: 1.0000e-03 eta: 9:05:22 time: 0.9847 data_time: 0.1530 memory: 21548 grad_norm: 4.4173 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.7684 loss: 0.7684 2022/08/01 16:14:16 - mmengine - INFO - Epoch(train) [62][620/940] lr: 1.0000e-03 eta: 9:05:02 time: 0.7668 data_time: 0.0477 memory: 21548 grad_norm: 4.2149 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 0.9025 loss: 0.9025 2022/08/01 16:14:33 - mmengine - INFO - Epoch(train) [62][640/940] lr: 1.0000e-03 eta: 9:04:43 time: 0.8689 data_time: 0.0378 memory: 21548 grad_norm: 4.1908 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7757 loss: 0.7757 2022/08/01 16:14:48 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 16:14:48 - mmengine - INFO - Epoch(train) [62][660/940] lr: 1.0000e-03 eta: 9:04:23 time: 0.7649 data_time: 0.0371 memory: 21548 grad_norm: 4.2968 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8120 loss: 0.8120 2022/08/01 16:15:06 - mmengine - INFO - Epoch(train) [62][680/940] lr: 1.0000e-03 eta: 9:04:05 time: 0.8879 data_time: 0.1025 memory: 21548 grad_norm: 4.3583 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9170 loss: 0.9170 2022/08/01 16:15:23 - mmengine - INFO - Epoch(train) [62][700/940] lr: 1.0000e-03 eta: 9:03:46 time: 0.8372 data_time: 0.0837 memory: 21548 grad_norm: 4.1830 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8435 loss: 0.8435 2022/08/01 16:15:42 - mmengine - INFO - Epoch(train) [62][720/940] lr: 1.0000e-03 eta: 9:03:28 time: 0.9323 data_time: 0.0729 memory: 21548 grad_norm: 4.2909 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8486 loss: 0.8486 2022/08/01 16:15:57 - mmengine - INFO - Epoch(train) [62][740/940] lr: 1.0000e-03 eta: 9:03:08 time: 0.7521 data_time: 0.0390 memory: 21548 grad_norm: 4.2085 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7841 loss: 0.7841 2022/08/01 16:16:16 - mmengine - INFO - Epoch(train) [62][760/940] lr: 1.0000e-03 eta: 9:02:50 time: 0.9486 data_time: 0.0411 memory: 21548 grad_norm: 4.2213 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7985 loss: 0.7985 2022/08/01 16:16:31 - mmengine - INFO - Epoch(train) [62][780/940] lr: 1.0000e-03 eta: 9:02:31 time: 0.7929 data_time: 0.0469 memory: 21548 grad_norm: 4.3118 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8096 loss: 0.8096 2022/08/01 16:16:51 - mmengine - INFO - Epoch(train) [62][800/940] lr: 1.0000e-03 eta: 9:02:13 time: 0.9538 data_time: 0.0490 memory: 21548 grad_norm: 4.1904 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7871 loss: 0.7871 2022/08/01 16:17:05 - mmengine - INFO - Epoch(train) [62][820/940] lr: 1.0000e-03 eta: 9:01:53 time: 0.7456 data_time: 0.0364 memory: 21548 grad_norm: 4.1962 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8166 loss: 0.8166 2022/08/01 16:17:25 - mmengine - INFO - Epoch(train) [62][840/940] lr: 1.0000e-03 eta: 9:01:36 time: 0.9534 data_time: 0.1581 memory: 21548 grad_norm: 4.3653 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7785 loss: 0.7785 2022/08/01 16:17:40 - mmengine - INFO - Epoch(train) [62][860/940] lr: 1.0000e-03 eta: 9:01:16 time: 0.7828 data_time: 0.1774 memory: 21548 grad_norm: 4.3606 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8773 loss: 0.8773 2022/08/01 16:17:59 - mmengine - INFO - Epoch(train) [62][880/940] lr: 1.0000e-03 eta: 9:00:58 time: 0.9202 data_time: 0.1103 memory: 21548 grad_norm: 4.2449 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7947 loss: 0.7947 2022/08/01 16:18:15 - mmengine - INFO - Epoch(train) [62][900/940] lr: 1.0000e-03 eta: 9:00:38 time: 0.7943 data_time: 0.1748 memory: 21548 grad_norm: 4.2389 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8451 loss: 0.8451 2022/08/01 16:18:32 - mmengine - INFO - Epoch(train) [62][920/940] lr: 1.0000e-03 eta: 9:00:20 time: 0.8941 data_time: 0.2519 memory: 21548 grad_norm: 4.2869 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9167 loss: 0.9167 2022/08/01 16:18:47 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 16:18:47 - mmengine - INFO - Epoch(train) [62][940/940] lr: 1.0000e-03 eta: 9:00:00 time: 0.7362 data_time: 0.1322 memory: 21548 grad_norm: 4.6145 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.9402 loss: 0.9402 2022/08/01 16:19:08 - mmengine - INFO - Epoch(val) [62][20/78] eta: 0:00:59 time: 1.0187 data_time: 0.8959 memory: 3271 2022/08/01 16:19:22 - mmengine - INFO - Epoch(val) [62][40/78] eta: 0:00:26 time: 0.7030 data_time: 0.5675 memory: 3271 2022/08/01 16:19:42 - mmengine - INFO - Epoch(val) [62][60/78] eta: 0:00:17 time: 0.9988 data_time: 0.8732 memory: 3271 2022/08/01 16:19:55 - mmengine - INFO - Epoch(val) [62][78/78] acc/top1: 0.7147 acc/top5: 0.8986 acc/mean1: 0.7146 2022/08/01 16:20:18 - mmengine - INFO - Epoch(train) [63][20/940] lr: 1.0000e-03 eta: 8:59:44 time: 1.1310 data_time: 0.6986 memory: 21548 grad_norm: 4.2286 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8756 loss: 0.8756 2022/08/01 16:20:33 - mmengine - INFO - Epoch(train) [63][40/940] lr: 1.0000e-03 eta: 8:59:24 time: 0.7325 data_time: 0.3153 memory: 21548 grad_norm: 4.2875 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8422 loss: 0.8422 2022/08/01 16:20:52 - mmengine - INFO - Epoch(train) [63][60/940] lr: 1.0000e-03 eta: 8:59:07 time: 0.9575 data_time: 0.4568 memory: 21548 grad_norm: 4.1701 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7117 loss: 0.7117 2022/08/01 16:21:08 - mmengine - INFO - Epoch(train) [63][80/940] lr: 1.0000e-03 eta: 8:58:47 time: 0.8202 data_time: 0.1069 memory: 21548 grad_norm: 4.1926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7509 loss: 0.7509 2022/08/01 16:21:27 - mmengine - INFO - Epoch(train) [63][100/940] lr: 1.0000e-03 eta: 8:58:29 time: 0.9246 data_time: 0.0358 memory: 21548 grad_norm: 4.3360 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8597 loss: 0.8597 2022/08/01 16:21:43 - mmengine - INFO - Epoch(train) [63][120/940] lr: 1.0000e-03 eta: 8:58:10 time: 0.8104 data_time: 0.0398 memory: 21548 grad_norm: 4.2599 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.7646 loss: 0.7646 2022/08/01 16:22:02 - mmengine - INFO - Epoch(train) [63][140/940] lr: 1.0000e-03 eta: 8:57:53 time: 0.9536 data_time: 0.0331 memory: 21548 grad_norm: 4.1555 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8569 loss: 0.8569 2022/08/01 16:22:18 - mmengine - INFO - Epoch(train) [63][160/940] lr: 1.0000e-03 eta: 8:57:33 time: 0.7650 data_time: 0.0358 memory: 21548 grad_norm: 4.3415 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7997 loss: 0.7997 2022/08/01 16:22:36 - mmengine - INFO - Epoch(train) [63][180/940] lr: 1.0000e-03 eta: 8:57:15 time: 0.9219 data_time: 0.0317 memory: 21548 grad_norm: 4.2402 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7969 loss: 0.7969 2022/08/01 16:22:51 - mmengine - INFO - Epoch(train) [63][200/940] lr: 1.0000e-03 eta: 8:56:55 time: 0.7582 data_time: 0.0367 memory: 21548 grad_norm: 4.2919 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7567 loss: 0.7567 2022/08/01 16:23:10 - mmengine - INFO - Epoch(train) [63][220/940] lr: 1.0000e-03 eta: 8:56:37 time: 0.9658 data_time: 0.0407 memory: 21548 grad_norm: 4.4168 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8711 loss: 0.8711 2022/08/01 16:23:27 - mmengine - INFO - Epoch(train) [63][240/940] lr: 1.0000e-03 eta: 8:56:18 time: 0.8105 data_time: 0.0384 memory: 21548 grad_norm: 4.2865 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8326 loss: 0.8326 2022/08/01 16:23:45 - mmengine - INFO - Epoch(train) [63][260/940] lr: 1.0000e-03 eta: 8:56:00 time: 0.9126 data_time: 0.0463 memory: 21548 grad_norm: 4.4536 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7775 loss: 0.7775 2022/08/01 16:24:01 - mmengine - INFO - Epoch(train) [63][280/940] lr: 1.0000e-03 eta: 8:55:40 time: 0.7795 data_time: 0.0374 memory: 21548 grad_norm: 4.3890 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8437 loss: 0.8437 2022/08/01 16:24:19 - mmengine - INFO - Epoch(train) [63][300/940] lr: 1.0000e-03 eta: 8:55:22 time: 0.9271 data_time: 0.0361 memory: 21548 grad_norm: 4.2224 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8883 loss: 0.8883 2022/08/01 16:24:35 - mmengine - INFO - Epoch(train) [63][320/940] lr: 1.0000e-03 eta: 8:55:03 time: 0.7988 data_time: 0.0317 memory: 21548 grad_norm: 4.1982 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7958 loss: 0.7958 2022/08/01 16:24:53 - mmengine - INFO - Epoch(train) [63][340/940] lr: 1.0000e-03 eta: 8:54:45 time: 0.9056 data_time: 0.0361 memory: 21548 grad_norm: 4.1912 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7135 loss: 0.7135 2022/08/01 16:25:10 - mmengine - INFO - Epoch(train) [63][360/940] lr: 1.0000e-03 eta: 8:54:26 time: 0.8319 data_time: 0.0389 memory: 21548 grad_norm: 4.1768 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7697 loss: 0.7697 2022/08/01 16:25:28 - mmengine - INFO - Epoch(train) [63][380/940] lr: 1.0000e-03 eta: 8:54:08 time: 0.9056 data_time: 0.0364 memory: 21548 grad_norm: 4.2782 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7826 loss: 0.7826 2022/08/01 16:25:44 - mmengine - INFO - Epoch(train) [63][400/940] lr: 1.0000e-03 eta: 8:53:48 time: 0.7861 data_time: 0.0355 memory: 21548 grad_norm: 4.3134 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8480 loss: 0.8480 2022/08/01 16:26:04 - mmengine - INFO - Epoch(train) [63][420/940] lr: 1.0000e-03 eta: 8:53:31 time: 0.9963 data_time: 0.0364 memory: 21548 grad_norm: 4.2107 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8041 loss: 0.8041 2022/08/01 16:26:19 - mmengine - INFO - Epoch(train) [63][440/940] lr: 1.0000e-03 eta: 8:53:11 time: 0.7469 data_time: 0.0369 memory: 21548 grad_norm: 4.2499 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8776 loss: 0.8776 2022/08/01 16:26:37 - mmengine - INFO - Epoch(train) [63][460/940] lr: 1.0000e-03 eta: 8:52:53 time: 0.9291 data_time: 0.0334 memory: 21548 grad_norm: 4.2356 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.7893 loss: 0.7893 2022/08/01 16:26:53 - mmengine - INFO - Epoch(train) [63][480/940] lr: 1.0000e-03 eta: 8:52:34 time: 0.8180 data_time: 0.0414 memory: 21548 grad_norm: 4.1897 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8306 loss: 0.8306 2022/08/01 16:27:12 - mmengine - INFO - Epoch(train) [63][500/940] lr: 1.0000e-03 eta: 8:52:16 time: 0.9275 data_time: 0.0355 memory: 21548 grad_norm: 4.2754 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6804 loss: 0.6804 2022/08/01 16:27:27 - mmengine - INFO - Epoch(train) [63][520/940] lr: 1.0000e-03 eta: 8:51:56 time: 0.7621 data_time: 0.0391 memory: 21548 grad_norm: 4.2684 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7307 loss: 0.7307 2022/08/01 16:27:44 - mmengine - INFO - Epoch(train) [63][540/940] lr: 1.0000e-03 eta: 8:51:37 time: 0.8591 data_time: 0.0375 memory: 21548 grad_norm: 4.3463 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8080 loss: 0.8080 2022/08/01 16:28:02 - mmengine - INFO - Epoch(train) [63][560/940] lr: 1.0000e-03 eta: 8:51:19 time: 0.8827 data_time: 0.0417 memory: 21548 grad_norm: 4.3252 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7935 loss: 0.7935 2022/08/01 16:28:19 - mmengine - INFO - Epoch(train) [63][580/940] lr: 1.0000e-03 eta: 8:51:00 time: 0.8461 data_time: 0.0338 memory: 21548 grad_norm: 4.2330 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8141 loss: 0.8141 2022/08/01 16:28:36 - mmengine - INFO - Epoch(train) [63][600/940] lr: 1.0000e-03 eta: 8:50:41 time: 0.8544 data_time: 0.0563 memory: 21548 grad_norm: 4.3153 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.8302 loss: 0.8302 2022/08/01 16:28:54 - mmengine - INFO - Epoch(train) [63][620/940] lr: 1.0000e-03 eta: 8:50:23 time: 0.8626 data_time: 0.0531 memory: 21548 grad_norm: 4.2158 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8046 loss: 0.8046 2022/08/01 16:29:10 - mmengine - INFO - Epoch(train) [63][640/940] lr: 1.0000e-03 eta: 8:50:03 time: 0.8073 data_time: 0.0405 memory: 21548 grad_norm: 4.3138 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8112 loss: 0.8112 2022/08/01 16:29:28 - mmengine - INFO - Epoch(train) [63][660/940] lr: 1.0000e-03 eta: 8:49:45 time: 0.9110 data_time: 0.0403 memory: 21548 grad_norm: 4.3201 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8292 loss: 0.8292 2022/08/01 16:29:44 - mmengine - INFO - Epoch(train) [63][680/940] lr: 1.0000e-03 eta: 8:49:26 time: 0.7954 data_time: 0.0317 memory: 21548 grad_norm: 4.3799 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7653 loss: 0.7653 2022/08/01 16:30:03 - mmengine - INFO - Epoch(train) [63][700/940] lr: 1.0000e-03 eta: 8:49:09 time: 0.9766 data_time: 0.0380 memory: 21548 grad_norm: 4.3046 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7899 loss: 0.7899 2022/08/01 16:30:19 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 16:30:19 - mmengine - INFO - Epoch(train) [63][720/940] lr: 1.0000e-03 eta: 8:48:49 time: 0.7677 data_time: 0.0341 memory: 21548 grad_norm: 4.1734 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7654 loss: 0.7654 2022/08/01 16:30:37 - mmengine - INFO - Epoch(train) [63][740/940] lr: 1.0000e-03 eta: 8:48:31 time: 0.9018 data_time: 0.0420 memory: 21548 grad_norm: 4.3098 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8078 loss: 0.8078 2022/08/01 16:30:53 - mmengine - INFO - Epoch(train) [63][760/940] lr: 1.0000e-03 eta: 8:48:11 time: 0.8008 data_time: 0.0386 memory: 21548 grad_norm: 4.2132 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7555 loss: 0.7555 2022/08/01 16:31:12 - mmengine - INFO - Epoch(train) [63][780/940] lr: 1.0000e-03 eta: 8:47:54 time: 0.9804 data_time: 0.0461 memory: 21548 grad_norm: 4.2643 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8056 loss: 0.8056 2022/08/01 16:31:27 - mmengine - INFO - Epoch(train) [63][800/940] lr: 1.0000e-03 eta: 8:47:34 time: 0.7371 data_time: 0.0314 memory: 21548 grad_norm: 4.2293 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8445 loss: 0.8445 2022/08/01 16:31:47 - mmengine - INFO - Epoch(train) [63][820/940] lr: 1.0000e-03 eta: 8:47:17 time: 0.9827 data_time: 0.0396 memory: 21548 grad_norm: 4.2874 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.7821 loss: 0.7821 2022/08/01 16:32:02 - mmengine - INFO - Epoch(train) [63][840/940] lr: 1.0000e-03 eta: 8:46:57 time: 0.7682 data_time: 0.0316 memory: 21548 grad_norm: 4.2633 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.9267 loss: 0.9267 2022/08/01 16:32:20 - mmengine - INFO - Epoch(train) [63][860/940] lr: 1.0000e-03 eta: 8:46:39 time: 0.9079 data_time: 0.0466 memory: 21548 grad_norm: 4.3987 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8847 loss: 0.8847 2022/08/01 16:32:37 - mmengine - INFO - Epoch(train) [63][880/940] lr: 1.0000e-03 eta: 8:46:20 time: 0.8191 data_time: 0.0325 memory: 21548 grad_norm: 4.3327 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7622 loss: 0.7622 2022/08/01 16:32:55 - mmengine - INFO - Epoch(train) [63][900/940] lr: 1.0000e-03 eta: 8:46:02 time: 0.9187 data_time: 0.0399 memory: 21548 grad_norm: 4.3849 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8540 loss: 0.8540 2022/08/01 16:33:10 - mmengine - INFO - Epoch(train) [63][920/940] lr: 1.0000e-03 eta: 8:45:41 time: 0.7435 data_time: 0.0278 memory: 21548 grad_norm: 4.3135 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7439 loss: 0.7439 2022/08/01 16:33:25 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 16:33:25 - mmengine - INFO - Epoch(train) [63][940/940] lr: 1.0000e-03 eta: 8:45:22 time: 0.7793 data_time: 0.0707 memory: 21548 grad_norm: 4.6221 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.7925 loss: 0.7925 2022/08/01 16:33:26 - mmengine - INFO - Saving checkpoint at 63 epochs 2022/08/01 16:33:48 - mmengine - INFO - Epoch(val) [63][20/78] eta: 0:00:58 time: 1.0050 data_time: 0.8713 memory: 3271 2022/08/01 16:34:02 - mmengine - INFO - Epoch(val) [63][40/78] eta: 0:00:26 time: 0.6929 data_time: 0.5720 memory: 3271 2022/08/01 16:34:20 - mmengine - INFO - Epoch(val) [63][60/78] eta: 0:00:16 time: 0.9416 data_time: 0.8183 memory: 3271 2022/08/01 16:34:35 - mmengine - INFO - Epoch(val) [63][78/78] acc/top1: 0.7142 acc/top5: 0.8998 acc/mean1: 0.7141 2022/08/01 16:34:57 - mmengine - INFO - Epoch(train) [64][20/940] lr: 1.0000e-03 eta: 8:45:06 time: 1.0918 data_time: 0.5472 memory: 21548 grad_norm: 4.2892 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7822 loss: 0.7822 2022/08/01 16:35:14 - mmengine - INFO - Epoch(train) [64][40/940] lr: 1.0000e-03 eta: 8:44:47 time: 0.8563 data_time: 0.2422 memory: 21548 grad_norm: 4.2777 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8096 loss: 0.8096 2022/08/01 16:35:31 - mmengine - INFO - Epoch(train) [64][60/940] lr: 1.0000e-03 eta: 8:44:28 time: 0.8547 data_time: 0.2387 memory: 21548 grad_norm: 4.4550 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8843 loss: 0.8843 2022/08/01 16:35:47 - mmengine - INFO - Epoch(train) [64][80/940] lr: 1.0000e-03 eta: 8:44:09 time: 0.7763 data_time: 0.2064 memory: 21548 grad_norm: 4.1171 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8188 loss: 0.8188 2022/08/01 16:36:06 - mmengine - INFO - Epoch(train) [64][100/940] lr: 1.0000e-03 eta: 8:43:51 time: 0.9445 data_time: 0.1965 memory: 21548 grad_norm: 4.2885 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8798 loss: 0.8798 2022/08/01 16:36:21 - mmengine - INFO - Epoch(train) [64][120/940] lr: 1.0000e-03 eta: 8:43:31 time: 0.7437 data_time: 0.0462 memory: 21548 grad_norm: 4.3504 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8787 loss: 0.8787 2022/08/01 16:36:41 - mmengine - INFO - Epoch(train) [64][140/940] lr: 1.0000e-03 eta: 8:43:14 time: 1.0101 data_time: 0.1187 memory: 21548 grad_norm: 4.2509 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7694 loss: 0.7694 2022/08/01 16:36:56 - mmengine - INFO - Epoch(train) [64][160/940] lr: 1.0000e-03 eta: 8:42:54 time: 0.7375 data_time: 0.1176 memory: 21548 grad_norm: 4.2787 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.8354 loss: 0.8354 2022/08/01 16:37:15 - mmengine - INFO - Epoch(train) [64][180/940] lr: 1.0000e-03 eta: 8:42:36 time: 0.9474 data_time: 0.3348 memory: 21548 grad_norm: 4.1160 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.7783 loss: 0.7783 2022/08/01 16:37:30 - mmengine - INFO - Epoch(train) [64][200/940] lr: 1.0000e-03 eta: 8:42:17 time: 0.7884 data_time: 0.2272 memory: 21548 grad_norm: 4.2870 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8242 loss: 0.8242 2022/08/01 16:37:49 - mmengine - INFO - Epoch(train) [64][220/940] lr: 1.0000e-03 eta: 8:41:59 time: 0.9062 data_time: 0.2730 memory: 21548 grad_norm: 4.3470 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8098 loss: 0.8098 2022/08/01 16:38:04 - mmengine - INFO - Epoch(train) [64][240/940] lr: 1.0000e-03 eta: 8:41:39 time: 0.7798 data_time: 0.2688 memory: 21548 grad_norm: 4.2870 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8349 loss: 0.8349 2022/08/01 16:38:23 - mmengine - INFO - Epoch(train) [64][260/940] lr: 1.0000e-03 eta: 8:41:22 time: 0.9398 data_time: 0.4062 memory: 21548 grad_norm: 4.3398 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7878 loss: 0.7878 2022/08/01 16:38:39 - mmengine - INFO - Epoch(train) [64][280/940] lr: 1.0000e-03 eta: 8:41:02 time: 0.8013 data_time: 0.3540 memory: 21548 grad_norm: 4.3099 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8000 loss: 0.8000 2022/08/01 16:38:58 - mmengine - INFO - Epoch(train) [64][300/940] lr: 1.0000e-03 eta: 8:40:44 time: 0.9439 data_time: 0.5000 memory: 21548 grad_norm: 4.4131 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8401 loss: 0.8401 2022/08/01 16:39:14 - mmengine - INFO - Epoch(train) [64][320/940] lr: 1.0000e-03 eta: 8:40:25 time: 0.7744 data_time: 0.3617 memory: 21548 grad_norm: 4.2483 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7779 loss: 0.7779 2022/08/01 16:39:32 - mmengine - INFO - Epoch(train) [64][340/940] lr: 1.0000e-03 eta: 8:40:07 time: 0.9367 data_time: 0.5141 memory: 21548 grad_norm: 4.2157 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7566 loss: 0.7566 2022/08/01 16:39:47 - mmengine - INFO - Epoch(train) [64][360/940] lr: 1.0000e-03 eta: 8:39:47 time: 0.7257 data_time: 0.3122 memory: 21548 grad_norm: 4.2592 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7727 loss: 0.7727 2022/08/01 16:40:07 - mmengine - INFO - Epoch(train) [64][380/940] lr: 1.0000e-03 eta: 8:39:30 time: 1.0277 data_time: 0.5893 memory: 21548 grad_norm: 4.4399 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7793 loss: 0.7793 2022/08/01 16:40:22 - mmengine - INFO - Epoch(train) [64][400/940] lr: 1.0000e-03 eta: 8:39:10 time: 0.7618 data_time: 0.3293 memory: 21548 grad_norm: 4.3897 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8462 loss: 0.8462 2022/08/01 16:40:40 - mmengine - INFO - Epoch(train) [64][420/940] lr: 1.0000e-03 eta: 8:38:52 time: 0.9031 data_time: 0.4739 memory: 21548 grad_norm: 4.3796 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8713 loss: 0.8713 2022/08/01 16:40:57 - mmengine - INFO - Epoch(train) [64][440/940] lr: 1.0000e-03 eta: 8:38:33 time: 0.8145 data_time: 0.3764 memory: 21548 grad_norm: 4.2333 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7683 loss: 0.7683 2022/08/01 16:41:15 - mmengine - INFO - Epoch(train) [64][460/940] lr: 1.0000e-03 eta: 8:38:15 time: 0.9128 data_time: 0.4103 memory: 21548 grad_norm: 4.3650 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8792 loss: 0.8792 2022/08/01 16:41:31 - mmengine - INFO - Epoch(train) [64][480/940] lr: 1.0000e-03 eta: 8:37:56 time: 0.7951 data_time: 0.1940 memory: 21548 grad_norm: 4.3504 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8528 loss: 0.8528 2022/08/01 16:41:50 - mmengine - INFO - Epoch(train) [64][500/940] lr: 1.0000e-03 eta: 8:37:38 time: 0.9424 data_time: 0.3158 memory: 21548 grad_norm: 4.3897 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8596 loss: 0.8596 2022/08/01 16:42:05 - mmengine - INFO - Epoch(train) [64][520/940] lr: 1.0000e-03 eta: 8:37:18 time: 0.7632 data_time: 0.1654 memory: 21548 grad_norm: 4.3889 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8416 loss: 0.8416 2022/08/01 16:42:25 - mmengine - INFO - Epoch(train) [64][540/940] lr: 1.0000e-03 eta: 8:37:01 time: 0.9852 data_time: 0.2499 memory: 21548 grad_norm: 4.2609 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8892 loss: 0.8892 2022/08/01 16:42:39 - mmengine - INFO - Epoch(train) [64][560/940] lr: 1.0000e-03 eta: 8:36:41 time: 0.7295 data_time: 0.0467 memory: 21548 grad_norm: 4.3382 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7806 loss: 0.7806 2022/08/01 16:42:58 - mmengine - INFO - Epoch(train) [64][580/940] lr: 1.0000e-03 eta: 8:36:23 time: 0.9186 data_time: 0.1941 memory: 21548 grad_norm: 4.3383 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7564 loss: 0.7564 2022/08/01 16:43:14 - mmengine - INFO - Epoch(train) [64][600/940] lr: 1.0000e-03 eta: 8:36:03 time: 0.8000 data_time: 0.0709 memory: 21548 grad_norm: 4.3026 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8985 loss: 0.8985 2022/08/01 16:43:32 - mmengine - INFO - Epoch(train) [64][620/940] lr: 1.0000e-03 eta: 8:35:45 time: 0.8998 data_time: 0.0429 memory: 21548 grad_norm: 4.3194 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8681 loss: 0.8681 2022/08/01 16:43:48 - mmengine - INFO - Epoch(train) [64][640/940] lr: 1.0000e-03 eta: 8:35:26 time: 0.8105 data_time: 0.0355 memory: 21548 grad_norm: 4.2774 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8457 loss: 0.8457 2022/08/01 16:44:06 - mmengine - INFO - Epoch(train) [64][660/940] lr: 1.0000e-03 eta: 8:35:08 time: 0.9109 data_time: 0.0379 memory: 21548 grad_norm: 4.3198 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8118 loss: 0.8118 2022/08/01 16:44:21 - mmengine - INFO - Epoch(train) [64][680/940] lr: 1.0000e-03 eta: 8:34:48 time: 0.7522 data_time: 0.0358 memory: 21548 grad_norm: 4.3908 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7522 loss: 0.7522 2022/08/01 16:44:42 - mmengine - INFO - Epoch(train) [64][700/940] lr: 1.0000e-03 eta: 8:34:31 time: 1.0144 data_time: 0.0385 memory: 21548 grad_norm: 4.3439 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8281 loss: 0.8281 2022/08/01 16:44:57 - mmengine - INFO - Epoch(train) [64][720/940] lr: 1.0000e-03 eta: 8:34:12 time: 0.7632 data_time: 0.0304 memory: 21548 grad_norm: 4.3872 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8479 loss: 0.8479 2022/08/01 16:45:18 - mmengine - INFO - Epoch(train) [64][740/940] lr: 1.0000e-03 eta: 8:33:55 time: 1.0791 data_time: 0.0401 memory: 21548 grad_norm: 4.2950 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8352 loss: 0.8352 2022/08/01 16:45:50 - mmengine - INFO - Epoch(train) [64][760/940] lr: 1.0000e-03 eta: 8:33:45 time: 1.5998 data_time: 0.1547 memory: 21548 grad_norm: 4.2350 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7746 loss: 0.7746 2022/08/01 16:46:06 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 16:46:06 - mmengine - INFO - Epoch(train) [64][780/940] lr: 1.0000e-03 eta: 8:33:26 time: 0.7951 data_time: 0.2753 memory: 21548 grad_norm: 4.3657 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8435 loss: 0.8435 2022/08/01 16:46:25 - mmengine - INFO - Epoch(train) [64][800/940] lr: 1.0000e-03 eta: 8:33:08 time: 0.9182 data_time: 0.4830 memory: 21548 grad_norm: 4.2255 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7103 loss: 0.7103 2022/08/01 16:46:41 - mmengine - INFO - Epoch(train) [64][820/940] lr: 1.0000e-03 eta: 8:32:48 time: 0.7949 data_time: 0.3665 memory: 21548 grad_norm: 4.2554 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.7941 loss: 0.7941 2022/08/01 16:47:12 - mmengine - INFO - Epoch(train) [64][840/940] lr: 1.0000e-03 eta: 8:32:38 time: 1.5600 data_time: 0.5079 memory: 21548 grad_norm: 4.3222 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8379 loss: 0.8379 2022/08/01 16:47:29 - mmengine - INFO - Epoch(train) [64][860/940] lr: 1.0000e-03 eta: 8:32:19 time: 0.8798 data_time: 0.3340 memory: 21548 grad_norm: 4.2889 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 0.7989 loss: 0.7989 2022/08/01 16:47:48 - mmengine - INFO - Epoch(train) [64][880/940] lr: 1.0000e-03 eta: 8:32:01 time: 0.9410 data_time: 0.5169 memory: 21548 grad_norm: 4.5228 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8465 loss: 0.8465 2022/08/01 16:48:04 - mmengine - INFO - Epoch(train) [64][900/940] lr: 1.0000e-03 eta: 8:31:42 time: 0.7973 data_time: 0.3451 memory: 21548 grad_norm: 4.4036 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.8721 loss: 0.8721 2022/08/01 16:48:22 - mmengine - INFO - Epoch(train) [64][920/940] lr: 1.0000e-03 eta: 8:31:24 time: 0.8758 data_time: 0.4448 memory: 21548 grad_norm: 4.4426 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.7947 loss: 0.7947 2022/08/01 16:48:35 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 16:48:35 - mmengine - INFO - Epoch(train) [64][940/940] lr: 1.0000e-03 eta: 8:31:03 time: 0.6681 data_time: 0.2761 memory: 21548 grad_norm: 4.4137 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 0.7772 loss: 0.7772 2022/08/01 16:48:55 - mmengine - INFO - Epoch(val) [64][20/78] eta: 0:00:58 time: 1.0089 data_time: 0.8689 memory: 3271 2022/08/01 16:49:10 - mmengine - INFO - Epoch(val) [64][40/78] eta: 0:00:27 time: 0.7188 data_time: 0.5952 memory: 3271 2022/08/01 16:49:28 - mmengine - INFO - Epoch(val) [64][60/78] eta: 0:00:16 time: 0.9109 data_time: 0.7572 memory: 3271 2022/08/01 16:49:44 - mmengine - INFO - Epoch(val) [64][78/78] acc/top1: 0.7153 acc/top5: 0.9003 acc/mean1: 0.7152 2022/08/01 16:50:07 - mmengine - INFO - Epoch(train) [65][20/940] lr: 1.0000e-03 eta: 8:30:47 time: 1.1338 data_time: 0.6717 memory: 21548 grad_norm: 4.2266 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7905 loss: 0.7905 2022/08/01 16:50:22 - mmengine - INFO - Epoch(train) [65][40/940] lr: 1.0000e-03 eta: 8:30:28 time: 0.7742 data_time: 0.3207 memory: 21548 grad_norm: 4.2269 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7066 loss: 0.7066 2022/08/01 16:50:40 - mmengine - INFO - Epoch(train) [65][60/940] lr: 1.0000e-03 eta: 8:30:10 time: 0.9124 data_time: 0.3911 memory: 21548 grad_norm: 4.2307 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.7991 loss: 0.7991 2022/08/01 16:50:56 - mmengine - INFO - Epoch(train) [65][80/940] lr: 1.0000e-03 eta: 8:29:50 time: 0.7997 data_time: 0.2839 memory: 21548 grad_norm: 4.3796 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.8375 loss: 0.8375 2022/08/01 16:51:15 - mmengine - INFO - Epoch(train) [65][100/940] lr: 1.0000e-03 eta: 8:29:33 time: 0.9536 data_time: 0.3792 memory: 21548 grad_norm: 4.2632 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8040 loss: 0.8040 2022/08/01 16:51:32 - mmengine - INFO - Epoch(train) [65][120/940] lr: 1.0000e-03 eta: 8:29:14 time: 0.8185 data_time: 0.0543 memory: 21548 grad_norm: 4.2559 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7286 loss: 0.7286 2022/08/01 16:51:50 - mmengine - INFO - Epoch(train) [65][140/940] lr: 1.0000e-03 eta: 8:28:55 time: 0.9044 data_time: 0.0683 memory: 21548 grad_norm: 4.3589 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8445 loss: 0.8445 2022/08/01 16:52:05 - mmengine - INFO - Epoch(train) [65][160/940] lr: 1.0000e-03 eta: 8:28:36 time: 0.7617 data_time: 0.0939 memory: 21548 grad_norm: 4.2497 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7850 loss: 0.7850 2022/08/01 16:52:24 - mmengine - INFO - Epoch(train) [65][180/940] lr: 1.0000e-03 eta: 8:28:18 time: 0.9611 data_time: 0.1139 memory: 21548 grad_norm: 4.2474 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6879 loss: 0.6879 2022/08/01 16:52:40 - mmengine - INFO - Epoch(train) [65][200/940] lr: 1.0000e-03 eta: 8:27:59 time: 0.7704 data_time: 0.0496 memory: 21548 grad_norm: 4.3427 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8032 loss: 0.8032 2022/08/01 16:52:59 - mmengine - INFO - Epoch(train) [65][220/940] lr: 1.0000e-03 eta: 8:27:41 time: 0.9906 data_time: 0.0628 memory: 21548 grad_norm: 4.3962 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8749 loss: 0.8749 2022/08/01 16:53:15 - mmengine - INFO - Epoch(train) [65][240/940] lr: 1.0000e-03 eta: 8:27:22 time: 0.7629 data_time: 0.0319 memory: 21548 grad_norm: 4.3912 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8475 loss: 0.8475 2022/08/01 16:53:32 - mmengine - INFO - Epoch(train) [65][260/940] lr: 1.0000e-03 eta: 8:27:03 time: 0.8796 data_time: 0.0379 memory: 21548 grad_norm: 4.2214 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8031 loss: 0.8031 2022/08/01 16:53:50 - mmengine - INFO - Epoch(train) [65][280/940] lr: 1.0000e-03 eta: 8:26:45 time: 0.8799 data_time: 0.0300 memory: 21548 grad_norm: 4.3394 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9331 loss: 0.9331 2022/08/01 16:54:08 - mmengine - INFO - Epoch(train) [65][300/940] lr: 1.0000e-03 eta: 8:26:27 time: 0.8885 data_time: 0.0425 memory: 21548 grad_norm: 4.3763 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8849 loss: 0.8849 2022/08/01 16:54:23 - mmengine - INFO - Epoch(train) [65][320/940] lr: 1.0000e-03 eta: 8:26:07 time: 0.7787 data_time: 0.0807 memory: 21548 grad_norm: 4.2183 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8286 loss: 0.8286 2022/08/01 16:54:42 - mmengine - INFO - Epoch(train) [65][340/940] lr: 1.0000e-03 eta: 8:25:50 time: 0.9578 data_time: 0.2693 memory: 21548 grad_norm: 4.2294 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7070 loss: 0.7070 2022/08/01 16:54:57 - mmengine - INFO - Epoch(train) [65][360/940] lr: 1.0000e-03 eta: 8:25:29 time: 0.7268 data_time: 0.1286 memory: 21548 grad_norm: 4.4683 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.9396 loss: 0.9396 2022/08/01 16:55:16 - mmengine - INFO - Epoch(train) [65][380/940] lr: 1.0000e-03 eta: 8:25:12 time: 0.9432 data_time: 0.1701 memory: 21548 grad_norm: 4.3275 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8351 loss: 0.8351 2022/08/01 16:55:32 - mmengine - INFO - Epoch(train) [65][400/940] lr: 1.0000e-03 eta: 8:24:52 time: 0.7881 data_time: 0.1272 memory: 21548 grad_norm: 4.3334 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8850 loss: 0.8850 2022/08/01 16:55:51 - mmengine - INFO - Epoch(train) [65][420/940] lr: 1.0000e-03 eta: 8:24:35 time: 0.9610 data_time: 0.0680 memory: 21548 grad_norm: 4.3089 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8218 loss: 0.8218 2022/08/01 16:56:08 - mmengine - INFO - Epoch(train) [65][440/940] lr: 1.0000e-03 eta: 8:24:16 time: 0.8461 data_time: 0.0560 memory: 21548 grad_norm: 4.3518 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8813 loss: 0.8813 2022/08/01 16:56:27 - mmengine - INFO - Epoch(train) [65][460/940] lr: 1.0000e-03 eta: 8:23:59 time: 0.9727 data_time: 0.0385 memory: 21548 grad_norm: 4.2639 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6964 loss: 0.6964 2022/08/01 16:56:42 - mmengine - INFO - Epoch(train) [65][480/940] lr: 1.0000e-03 eta: 8:23:39 time: 0.7553 data_time: 0.0617 memory: 21548 grad_norm: 4.2265 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7810 loss: 0.7810 2022/08/01 16:57:02 - mmengine - INFO - Epoch(train) [65][500/940] lr: 1.0000e-03 eta: 8:23:21 time: 0.9740 data_time: 0.0599 memory: 21548 grad_norm: 4.2262 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7720 loss: 0.7720 2022/08/01 16:57:18 - mmengine - INFO - Epoch(train) [65][520/940] lr: 1.0000e-03 eta: 8:23:02 time: 0.8076 data_time: 0.0350 memory: 21548 grad_norm: 4.3267 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8348 loss: 0.8348 2022/08/01 16:57:37 - mmengine - INFO - Epoch(train) [65][540/940] lr: 1.0000e-03 eta: 8:22:45 time: 0.9587 data_time: 0.0382 memory: 21548 grad_norm: 4.2186 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7388 loss: 0.7388 2022/08/01 16:57:52 - mmengine - INFO - Epoch(train) [65][560/940] lr: 1.0000e-03 eta: 8:22:25 time: 0.7211 data_time: 0.0340 memory: 21548 grad_norm: 4.4435 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 0.7820 loss: 0.7820 2022/08/01 16:58:10 - mmengine - INFO - Epoch(train) [65][580/940] lr: 1.0000e-03 eta: 8:22:06 time: 0.9005 data_time: 0.0401 memory: 21548 grad_norm: 4.5272 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8773 loss: 0.8773 2022/08/01 16:58:26 - mmengine - INFO - Epoch(train) [65][600/940] lr: 1.0000e-03 eta: 8:21:47 time: 0.8196 data_time: 0.0332 memory: 21548 grad_norm: 4.2969 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7854 loss: 0.7854 2022/08/01 16:58:44 - mmengine - INFO - Epoch(train) [65][620/940] lr: 1.0000e-03 eta: 8:21:29 time: 0.9169 data_time: 0.0408 memory: 21548 grad_norm: 4.2979 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.7376 loss: 0.7376 2022/08/01 16:59:00 - mmengine - INFO - Epoch(train) [65][640/940] lr: 1.0000e-03 eta: 8:21:10 time: 0.7768 data_time: 0.0380 memory: 21548 grad_norm: 4.4003 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8526 loss: 0.8526 2022/08/01 16:59:20 - mmengine - INFO - Epoch(train) [65][660/940] lr: 1.0000e-03 eta: 8:20:53 time: 1.0085 data_time: 0.0544 memory: 21548 grad_norm: 4.2080 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8176 loss: 0.8176 2022/08/01 16:59:36 - mmengine - INFO - Epoch(train) [65][680/940] lr: 1.0000e-03 eta: 8:20:34 time: 0.7941 data_time: 0.0344 memory: 21548 grad_norm: 4.3013 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.7221 loss: 0.7221 2022/08/01 16:59:53 - mmengine - INFO - Epoch(train) [65][700/940] lr: 1.0000e-03 eta: 8:20:15 time: 0.8348 data_time: 0.0372 memory: 21548 grad_norm: 4.4562 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9034 loss: 0.9034 2022/08/01 17:00:09 - mmengine - INFO - Epoch(train) [65][720/940] lr: 1.0000e-03 eta: 8:19:56 time: 0.8168 data_time: 0.0392 memory: 21548 grad_norm: 4.2404 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8355 loss: 0.8355 2022/08/01 17:00:28 - mmengine - INFO - Epoch(train) [65][740/940] lr: 1.0000e-03 eta: 8:19:38 time: 0.9310 data_time: 0.0411 memory: 21548 grad_norm: 4.2006 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8219 loss: 0.8219 2022/08/01 17:00:43 - mmengine - INFO - Epoch(train) [65][760/940] lr: 1.0000e-03 eta: 8:19:18 time: 0.7812 data_time: 0.0429 memory: 21548 grad_norm: 4.4175 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8326 loss: 0.8326 2022/08/01 17:01:01 - mmengine - INFO - Epoch(train) [65][780/940] lr: 1.0000e-03 eta: 8:19:00 time: 0.9015 data_time: 0.0405 memory: 21548 grad_norm: 4.3727 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.7994 loss: 0.7994 2022/08/01 17:01:18 - mmengine - INFO - Epoch(train) [65][800/940] lr: 1.0000e-03 eta: 8:18:41 time: 0.8111 data_time: 0.0348 memory: 21548 grad_norm: 4.3049 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7354 loss: 0.7354 2022/08/01 17:01:37 - mmengine - INFO - Epoch(train) [65][820/940] lr: 1.0000e-03 eta: 8:18:23 time: 0.9575 data_time: 0.0386 memory: 21548 grad_norm: 4.3150 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8661 loss: 0.8661 2022/08/01 17:01:51 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 17:01:51 - mmengine - INFO - Epoch(train) [65][840/940] lr: 1.0000e-03 eta: 8:18:03 time: 0.7246 data_time: 0.0499 memory: 21548 grad_norm: 4.3113 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.6730 loss: 0.6730 2022/08/01 17:02:09 - mmengine - INFO - Epoch(train) [65][860/940] lr: 1.0000e-03 eta: 8:17:45 time: 0.9024 data_time: 0.0378 memory: 21548 grad_norm: 4.2896 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8014 loss: 0.8014 2022/08/01 17:02:25 - mmengine - INFO - Epoch(train) [65][880/940] lr: 1.0000e-03 eta: 8:17:26 time: 0.8025 data_time: 0.0404 memory: 21548 grad_norm: 4.3475 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8072 loss: 0.8072 2022/08/01 17:02:44 - mmengine - INFO - Epoch(train) [65][900/940] lr: 1.0000e-03 eta: 8:17:08 time: 0.9500 data_time: 0.0947 memory: 21548 grad_norm: 4.3522 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8275 loss: 0.8275 2022/08/01 17:03:01 - mmengine - INFO - Epoch(train) [65][920/940] lr: 1.0000e-03 eta: 8:16:49 time: 0.8182 data_time: 0.1168 memory: 21548 grad_norm: 4.4324 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8386 loss: 0.8386 2022/08/01 17:03:16 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 17:03:16 - mmengine - INFO - Epoch(train) [65][940/940] lr: 1.0000e-03 eta: 8:16:30 time: 0.7539 data_time: 0.0219 memory: 21548 grad_norm: 4.6180 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.8409 loss: 0.8409 2022/08/01 17:03:36 - mmengine - INFO - Epoch(val) [65][20/78] eta: 0:00:59 time: 1.0236 data_time: 0.8973 memory: 3271 2022/08/01 17:03:51 - mmengine - INFO - Epoch(val) [65][40/78] eta: 0:00:27 time: 0.7187 data_time: 0.5940 memory: 3271 2022/08/01 17:04:10 - mmengine - INFO - Epoch(val) [65][60/78] eta: 0:00:16 time: 0.9383 data_time: 0.7989 memory: 3271 2022/08/01 17:04:24 - mmengine - INFO - Epoch(val) [65][78/78] acc/top1: 0.7126 acc/top5: 0.8985 acc/mean1: 0.7125 2022/08/01 17:04:47 - mmengine - INFO - Epoch(train) [66][20/940] lr: 1.0000e-03 eta: 8:16:14 time: 1.1081 data_time: 0.5489 memory: 21548 grad_norm: 4.2591 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8228 loss: 0.8228 2022/08/01 17:05:02 - mmengine - INFO - Epoch(train) [66][40/940] lr: 1.0000e-03 eta: 8:15:54 time: 0.7904 data_time: 0.1907 memory: 21548 grad_norm: 4.2724 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8639 loss: 0.8639 2022/08/01 17:05:22 - mmengine - INFO - Epoch(train) [66][60/940] lr: 1.0000e-03 eta: 8:15:37 time: 0.9699 data_time: 0.2280 memory: 21548 grad_norm: 4.4901 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8554 loss: 0.8554 2022/08/01 17:05:39 - mmengine - INFO - Epoch(train) [66][80/940] lr: 1.0000e-03 eta: 8:15:18 time: 0.8517 data_time: 0.0404 memory: 21548 grad_norm: 4.2368 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7751 loss: 0.7751 2022/08/01 17:05:58 - mmengine - INFO - Epoch(train) [66][100/940] lr: 1.0000e-03 eta: 8:15:01 time: 0.9719 data_time: 0.0407 memory: 21548 grad_norm: 4.3089 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8215 loss: 0.8215 2022/08/01 17:06:14 - mmengine - INFO - Epoch(train) [66][120/940] lr: 1.0000e-03 eta: 8:14:42 time: 0.8019 data_time: 0.0335 memory: 21548 grad_norm: 4.2736 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7165 loss: 0.7165 2022/08/01 17:06:33 - mmengine - INFO - Epoch(train) [66][140/940] lr: 1.0000e-03 eta: 8:14:24 time: 0.9528 data_time: 0.0376 memory: 21548 grad_norm: 4.3760 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7232 loss: 0.7232 2022/08/01 17:06:50 - mmengine - INFO - Epoch(train) [66][160/940] lr: 1.0000e-03 eta: 8:14:05 time: 0.8110 data_time: 0.0356 memory: 21548 grad_norm: 4.2784 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8514 loss: 0.8514 2022/08/01 17:07:09 - mmengine - INFO - Epoch(train) [66][180/940] lr: 1.0000e-03 eta: 8:13:48 time: 0.9917 data_time: 0.0341 memory: 21548 grad_norm: 4.4626 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7251 loss: 0.7251 2022/08/01 17:07:25 - mmengine - INFO - Epoch(train) [66][200/940] lr: 1.0000e-03 eta: 8:13:28 time: 0.7763 data_time: 0.0341 memory: 21548 grad_norm: 4.3013 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8293 loss: 0.8293 2022/08/01 17:07:43 - mmengine - INFO - Epoch(train) [66][220/940] lr: 1.0000e-03 eta: 8:13:10 time: 0.8906 data_time: 0.0375 memory: 21548 grad_norm: 4.2858 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.7564 loss: 0.7564 2022/08/01 17:07:58 - mmengine - INFO - Epoch(train) [66][240/940] lr: 1.0000e-03 eta: 8:12:50 time: 0.7517 data_time: 0.0364 memory: 21548 grad_norm: 4.3751 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.9642 loss: 0.9642 2022/08/01 17:08:18 - mmengine - INFO - Epoch(train) [66][260/940] lr: 1.0000e-03 eta: 8:12:33 time: 0.9957 data_time: 0.0344 memory: 21548 grad_norm: 4.4922 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8998 loss: 0.8998 2022/08/01 17:08:32 - mmengine - INFO - Epoch(train) [66][280/940] lr: 1.0000e-03 eta: 8:12:13 time: 0.7158 data_time: 0.0351 memory: 21548 grad_norm: 4.3476 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8406 loss: 0.8406 2022/08/01 17:08:50 - mmengine - INFO - Epoch(train) [66][300/940] lr: 1.0000e-03 eta: 8:11:55 time: 0.9057 data_time: 0.0357 memory: 21548 grad_norm: 4.3440 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8225 loss: 0.8225 2022/08/01 17:09:06 - mmengine - INFO - Epoch(train) [66][320/940] lr: 1.0000e-03 eta: 8:11:36 time: 0.8087 data_time: 0.0572 memory: 21548 grad_norm: 4.4414 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8241 loss: 0.8241 2022/08/01 17:09:24 - mmengine - INFO - Epoch(train) [66][340/940] lr: 1.0000e-03 eta: 8:11:17 time: 0.8572 data_time: 0.0328 memory: 21548 grad_norm: 4.3085 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7389 loss: 0.7389 2022/08/01 17:09:40 - mmengine - INFO - Epoch(train) [66][360/940] lr: 1.0000e-03 eta: 8:10:58 time: 0.8409 data_time: 0.0517 memory: 21548 grad_norm: 4.3338 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8585 loss: 0.8585 2022/08/01 17:09:58 - mmengine - INFO - Epoch(train) [66][380/940] lr: 1.0000e-03 eta: 8:10:40 time: 0.8808 data_time: 0.0487 memory: 21548 grad_norm: 4.3098 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7677 loss: 0.7677 2022/08/01 17:10:14 - mmengine - INFO - Epoch(train) [66][400/940] lr: 1.0000e-03 eta: 8:10:21 time: 0.8129 data_time: 0.0438 memory: 21548 grad_norm: 4.3178 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 0.8565 loss: 0.8565 2022/08/01 17:10:32 - mmengine - INFO - Epoch(train) [66][420/940] lr: 1.0000e-03 eta: 8:10:02 time: 0.8758 data_time: 0.0441 memory: 21548 grad_norm: 4.4728 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8043 loss: 0.8043 2022/08/01 17:10:48 - mmengine - INFO - Epoch(train) [66][440/940] lr: 1.0000e-03 eta: 8:09:43 time: 0.8240 data_time: 0.0757 memory: 21548 grad_norm: 4.3823 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8329 loss: 0.8329 2022/08/01 17:11:04 - mmengine - INFO - Epoch(train) [66][460/940] lr: 1.0000e-03 eta: 8:09:24 time: 0.7802 data_time: 0.0775 memory: 21548 grad_norm: 4.3930 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7892 loss: 0.7892 2022/08/01 17:11:24 - mmengine - INFO - Epoch(train) [66][480/940] lr: 1.0000e-03 eta: 8:09:07 time: 0.9880 data_time: 0.1390 memory: 21548 grad_norm: 4.2433 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7558 loss: 0.7558 2022/08/01 17:11:39 - mmengine - INFO - Epoch(train) [66][500/940] lr: 1.0000e-03 eta: 8:08:47 time: 0.7886 data_time: 0.1266 memory: 21548 grad_norm: 4.3936 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8543 loss: 0.8543 2022/08/01 17:11:57 - mmengine - INFO - Epoch(train) [66][520/940] lr: 1.0000e-03 eta: 8:08:29 time: 0.8811 data_time: 0.0366 memory: 21548 grad_norm: 4.3575 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7814 loss: 0.7814 2022/08/01 17:12:13 - mmengine - INFO - Epoch(train) [66][540/940] lr: 1.0000e-03 eta: 8:08:10 time: 0.7939 data_time: 0.0315 memory: 21548 grad_norm: 4.4080 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8090 loss: 0.8090 2022/08/01 17:12:32 - mmengine - INFO - Epoch(train) [66][560/940] lr: 1.0000e-03 eta: 8:07:52 time: 0.9378 data_time: 0.0391 memory: 21548 grad_norm: 4.3066 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8392 loss: 0.8392 2022/08/01 17:12:47 - mmengine - INFO - Epoch(train) [66][580/940] lr: 1.0000e-03 eta: 8:07:33 time: 0.7805 data_time: 0.0464 memory: 21548 grad_norm: 4.2221 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8708 loss: 0.8708 2022/08/01 17:13:06 - mmengine - INFO - Epoch(train) [66][600/940] lr: 1.0000e-03 eta: 8:07:15 time: 0.9212 data_time: 0.0382 memory: 21548 grad_norm: 4.3485 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7226 loss: 0.7226 2022/08/01 17:13:23 - mmengine - INFO - Epoch(train) [66][620/940] lr: 1.0000e-03 eta: 8:06:56 time: 0.8525 data_time: 0.0356 memory: 21548 grad_norm: 4.3586 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8655 loss: 0.8655 2022/08/01 17:13:39 - mmengine - INFO - Epoch(train) [66][640/940] lr: 1.0000e-03 eta: 8:06:37 time: 0.8046 data_time: 0.0533 memory: 21548 grad_norm: 4.3107 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9019 loss: 0.9019 2022/08/01 17:13:56 - mmengine - INFO - Epoch(train) [66][660/940] lr: 1.0000e-03 eta: 8:06:18 time: 0.8433 data_time: 0.1141 memory: 21548 grad_norm: 4.4332 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8179 loss: 0.8179 2022/08/01 17:14:14 - mmengine - INFO - Epoch(train) [66][680/940] lr: 1.0000e-03 eta: 8:06:00 time: 0.8878 data_time: 0.0476 memory: 21548 grad_norm: 4.3383 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8815 loss: 0.8815 2022/08/01 17:14:30 - mmengine - INFO - Epoch(train) [66][700/940] lr: 1.0000e-03 eta: 8:05:41 time: 0.8102 data_time: 0.1107 memory: 21548 grad_norm: 4.3730 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8045 loss: 0.8045 2022/08/01 17:14:49 - mmengine - INFO - Epoch(train) [66][720/940] lr: 1.0000e-03 eta: 8:05:23 time: 0.9627 data_time: 0.0395 memory: 21548 grad_norm: 4.3156 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.7287 loss: 0.7287 2022/08/01 17:15:05 - mmengine - INFO - Epoch(train) [66][740/940] lr: 1.0000e-03 eta: 8:05:04 time: 0.7836 data_time: 0.0628 memory: 21548 grad_norm: 4.3590 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8318 loss: 0.8318 2022/08/01 17:15:22 - mmengine - INFO - Epoch(train) [66][760/940] lr: 1.0000e-03 eta: 8:04:45 time: 0.8646 data_time: 0.0486 memory: 21548 grad_norm: 4.3145 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7029 loss: 0.7029 2022/08/01 17:15:39 - mmengine - INFO - Epoch(train) [66][780/940] lr: 1.0000e-03 eta: 8:04:27 time: 0.8664 data_time: 0.0787 memory: 21548 grad_norm: 4.3334 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7908 loss: 0.7908 2022/08/01 17:15:59 - mmengine - INFO - Epoch(train) [66][800/940] lr: 1.0000e-03 eta: 8:04:10 time: 0.9849 data_time: 0.1223 memory: 21548 grad_norm: 4.4985 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 0.8512 loss: 0.8512 2022/08/01 17:16:16 - mmengine - INFO - Epoch(train) [66][820/940] lr: 1.0000e-03 eta: 8:03:51 time: 0.8271 data_time: 0.0330 memory: 21548 grad_norm: 4.4629 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9420 loss: 0.9420 2022/08/01 17:16:33 - mmengine - INFO - Epoch(train) [66][840/940] lr: 1.0000e-03 eta: 8:03:32 time: 0.8519 data_time: 0.0710 memory: 21548 grad_norm: 4.3251 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7677 loss: 0.7677 2022/08/01 17:16:48 - mmengine - INFO - Epoch(train) [66][860/940] lr: 1.0000e-03 eta: 8:03:13 time: 0.7923 data_time: 0.1276 memory: 21548 grad_norm: 4.3595 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9037 loss: 0.9037 2022/08/01 17:17:07 - mmengine - INFO - Epoch(train) [66][880/940] lr: 1.0000e-03 eta: 8:02:55 time: 0.9408 data_time: 0.1785 memory: 21548 grad_norm: 4.4149 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8303 loss: 0.8303 2022/08/01 17:17:23 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 17:17:23 - mmengine - INFO - Epoch(train) [66][900/940] lr: 1.0000e-03 eta: 8:02:36 time: 0.7747 data_time: 0.0629 memory: 21548 grad_norm: 4.4629 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7141 loss: 0.7141 2022/08/01 17:17:42 - mmengine - INFO - Epoch(train) [66][920/940] lr: 1.0000e-03 eta: 8:02:18 time: 0.9483 data_time: 0.0466 memory: 21548 grad_norm: 4.3829 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.7935 loss: 0.7935 2022/08/01 17:17:55 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 17:17:55 - mmengine - INFO - Epoch(train) [66][940/940] lr: 1.0000e-03 eta: 8:01:57 time: 0.6611 data_time: 0.0287 memory: 21548 grad_norm: 4.7920 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.9211 loss: 0.9211 2022/08/01 17:17:55 - mmengine - INFO - Saving checkpoint at 66 epochs 2022/08/01 17:18:17 - mmengine - INFO - Epoch(val) [66][20/78] eta: 0:00:59 time: 1.0224 data_time: 0.8974 memory: 3271 2022/08/01 17:18:31 - mmengine - INFO - Epoch(val) [66][40/78] eta: 0:00:27 time: 0.7123 data_time: 0.5886 memory: 3271 2022/08/01 17:18:50 - mmengine - INFO - Epoch(val) [66][60/78] eta: 0:00:17 time: 0.9560 data_time: 0.8329 memory: 3271 2022/08/01 17:19:04 - mmengine - INFO - Epoch(val) [66][78/78] acc/top1: 0.7142 acc/top5: 0.8990 acc/mean1: 0.7141 2022/08/01 17:19:26 - mmengine - INFO - Epoch(train) [67][20/940] lr: 1.0000e-03 eta: 8:01:41 time: 1.1216 data_time: 0.6192 memory: 21548 grad_norm: 4.1362 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7325 loss: 0.7325 2022/08/01 17:19:43 - mmengine - INFO - Epoch(train) [67][40/940] lr: 1.0000e-03 eta: 8:01:22 time: 0.8025 data_time: 0.1808 memory: 21548 grad_norm: 4.3850 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8289 loss: 0.8289 2022/08/01 17:20:01 - mmengine - INFO - Epoch(train) [67][60/940] lr: 1.0000e-03 eta: 8:01:05 time: 0.9411 data_time: 0.1848 memory: 21548 grad_norm: 4.2787 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8929 loss: 0.8929 2022/08/01 17:20:16 - mmengine - INFO - Epoch(train) [67][80/940] lr: 1.0000e-03 eta: 8:00:45 time: 0.7358 data_time: 0.1979 memory: 21548 grad_norm: 4.2622 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7678 loss: 0.7678 2022/08/01 17:20:36 - mmengine - INFO - Epoch(train) [67][100/940] lr: 1.0000e-03 eta: 8:00:28 time: 0.9896 data_time: 0.2846 memory: 21548 grad_norm: 4.3124 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7399 loss: 0.7399 2022/08/01 17:20:57 - mmengine - INFO - Epoch(train) [67][120/940] lr: 1.0000e-03 eta: 8:00:11 time: 1.0570 data_time: 0.1209 memory: 21548 grad_norm: 4.2843 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8560 loss: 0.8560 2022/08/01 17:21:18 - mmengine - INFO - Epoch(train) [67][140/940] lr: 1.0000e-03 eta: 7:59:54 time: 1.0600 data_time: 0.0269 memory: 21548 grad_norm: 4.3221 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8140 loss: 0.8140 2022/08/01 17:21:32 - mmengine - INFO - Epoch(train) [67][160/940] lr: 1.0000e-03 eta: 7:59:34 time: 0.6764 data_time: 0.0344 memory: 21548 grad_norm: 4.4128 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8500 loss: 0.8500 2022/08/01 17:21:52 - mmengine - INFO - Epoch(train) [67][180/940] lr: 1.0000e-03 eta: 7:59:17 time: 1.0078 data_time: 0.0432 memory: 21548 grad_norm: 4.3454 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7859 loss: 0.7859 2022/08/01 17:22:09 - mmengine - INFO - Epoch(train) [67][200/940] lr: 1.0000e-03 eta: 7:58:58 time: 0.8314 data_time: 0.0517 memory: 21548 grad_norm: 4.2922 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8350 loss: 0.8350 2022/08/01 17:22:28 - mmengine - INFO - Epoch(train) [67][220/940] lr: 1.0000e-03 eta: 7:58:41 time: 0.9707 data_time: 0.0411 memory: 21548 grad_norm: 4.2338 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7584 loss: 0.7584 2022/08/01 17:22:42 - mmengine - INFO - Epoch(train) [67][240/940] lr: 1.0000e-03 eta: 7:58:21 time: 0.7236 data_time: 0.0368 memory: 21548 grad_norm: 4.4169 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8281 loss: 0.8281 2022/08/01 17:23:00 - mmengine - INFO - Epoch(train) [67][260/940] lr: 1.0000e-03 eta: 7:58:03 time: 0.8860 data_time: 0.0448 memory: 21548 grad_norm: 4.3896 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8183 loss: 0.8183 2022/08/01 17:23:15 - mmengine - INFO - Epoch(train) [67][280/940] lr: 1.0000e-03 eta: 7:57:43 time: 0.7641 data_time: 0.0350 memory: 21548 grad_norm: 4.4561 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8141 loss: 0.8141 2022/08/01 17:23:35 - mmengine - INFO - Epoch(train) [67][300/940] lr: 1.0000e-03 eta: 7:57:25 time: 0.9647 data_time: 0.0407 memory: 21548 grad_norm: 4.2320 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8561 loss: 0.8561 2022/08/01 17:23:59 - mmengine - INFO - Epoch(train) [67][320/940] lr: 1.0000e-03 eta: 7:57:10 time: 1.1846 data_time: 0.0298 memory: 21548 grad_norm: 4.4027 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8154 loss: 0.8154 2022/08/01 17:24:18 - mmengine - INFO - Epoch(train) [67][340/940] lr: 1.0000e-03 eta: 7:56:53 time: 0.9738 data_time: 0.0362 memory: 21548 grad_norm: 4.3776 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7363 loss: 0.7363 2022/08/01 17:24:37 - mmengine - INFO - Epoch(train) [67][360/940] lr: 1.0000e-03 eta: 7:56:35 time: 0.9629 data_time: 0.0422 memory: 21548 grad_norm: 4.3285 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8182 loss: 0.8182 2022/08/01 17:24:52 - mmengine - INFO - Epoch(train) [67][380/940] lr: 1.0000e-03 eta: 7:56:15 time: 0.7341 data_time: 0.0419 memory: 21548 grad_norm: 4.3187 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7425 loss: 0.7425 2022/08/01 17:25:10 - mmengine - INFO - Epoch(train) [67][400/940] lr: 1.0000e-03 eta: 7:55:57 time: 0.9099 data_time: 0.0445 memory: 21548 grad_norm: 4.2606 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7462 loss: 0.7462 2022/08/01 17:25:26 - mmengine - INFO - Epoch(train) [67][420/940] lr: 1.0000e-03 eta: 7:55:38 time: 0.7709 data_time: 0.0389 memory: 21548 grad_norm: 4.4354 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8588 loss: 0.8588 2022/08/01 17:25:44 - mmengine - INFO - Epoch(train) [67][440/940] lr: 1.0000e-03 eta: 7:55:20 time: 0.9212 data_time: 0.0355 memory: 21548 grad_norm: 4.3415 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8095 loss: 0.8095 2022/08/01 17:26:01 - mmengine - INFO - Epoch(train) [67][460/940] lr: 1.0000e-03 eta: 7:55:01 time: 0.8367 data_time: 0.0367 memory: 21548 grad_norm: 4.4301 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9040 loss: 0.9040 2022/08/01 17:26:20 - mmengine - INFO - Epoch(train) [67][480/940] lr: 1.0000e-03 eta: 7:54:44 time: 0.9842 data_time: 0.0362 memory: 21548 grad_norm: 4.3591 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9266 loss: 0.9266 2022/08/01 17:26:36 - mmengine - INFO - Epoch(train) [67][500/940] lr: 1.0000e-03 eta: 7:54:25 time: 0.7850 data_time: 0.0314 memory: 21548 grad_norm: 4.2712 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8181 loss: 0.8181 2022/08/01 17:26:54 - mmengine - INFO - Epoch(train) [67][520/940] lr: 1.0000e-03 eta: 7:54:06 time: 0.8937 data_time: 0.0387 memory: 21548 grad_norm: 4.3596 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7910 loss: 0.7910 2022/08/01 17:27:09 - mmengine - INFO - Epoch(train) [67][540/940] lr: 1.0000e-03 eta: 7:53:47 time: 0.7496 data_time: 0.0499 memory: 21548 grad_norm: 4.3422 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8277 loss: 0.8277 2022/08/01 17:27:28 - mmengine - INFO - Epoch(train) [67][560/940] lr: 1.0000e-03 eta: 7:53:29 time: 0.9585 data_time: 0.0335 memory: 21548 grad_norm: 4.5175 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7709 loss: 0.7709 2022/08/01 17:27:45 - mmengine - INFO - Epoch(train) [67][580/940] lr: 1.0000e-03 eta: 7:53:10 time: 0.8302 data_time: 0.0413 memory: 21548 grad_norm: 4.4020 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8428 loss: 0.8428 2022/08/01 17:28:02 - mmengine - INFO - Epoch(train) [67][600/940] lr: 1.0000e-03 eta: 7:52:52 time: 0.8790 data_time: 0.0331 memory: 21548 grad_norm: 4.4106 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7903 loss: 0.7903 2022/08/01 17:28:17 - mmengine - INFO - Epoch(train) [67][620/940] lr: 1.0000e-03 eta: 7:52:32 time: 0.7343 data_time: 0.0344 memory: 21548 grad_norm: 4.3539 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.7798 loss: 0.7798 2022/08/01 17:28:36 - mmengine - INFO - Epoch(train) [67][640/940] lr: 1.0000e-03 eta: 7:52:15 time: 0.9692 data_time: 0.0395 memory: 21548 grad_norm: 4.3860 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8162 loss: 0.8162 2022/08/01 17:28:52 - mmengine - INFO - Epoch(train) [67][660/940] lr: 1.0000e-03 eta: 7:51:55 time: 0.7640 data_time: 0.0345 memory: 21548 grad_norm: 4.3313 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9058 loss: 0.9058 2022/08/01 17:29:10 - mmengine - INFO - Epoch(train) [67][680/940] lr: 1.0000e-03 eta: 7:51:37 time: 0.9166 data_time: 0.0414 memory: 21548 grad_norm: 4.3431 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8399 loss: 0.8399 2022/08/01 17:29:27 - mmengine - INFO - Epoch(train) [67][700/940] lr: 1.0000e-03 eta: 7:51:19 time: 0.8715 data_time: 0.0359 memory: 21548 grad_norm: 4.4433 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7495 loss: 0.7495 2022/08/01 17:29:45 - mmengine - INFO - Epoch(train) [67][720/940] lr: 1.0000e-03 eta: 7:51:01 time: 0.8724 data_time: 0.1182 memory: 21548 grad_norm: 4.4631 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7785 loss: 0.7785 2022/08/01 17:30:01 - mmengine - INFO - Epoch(train) [67][740/940] lr: 1.0000e-03 eta: 7:50:41 time: 0.7853 data_time: 0.0979 memory: 21548 grad_norm: 4.3932 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8675 loss: 0.8675 2022/08/01 17:30:21 - mmengine - INFO - Epoch(train) [67][760/940] lr: 1.0000e-03 eta: 7:50:24 time: 1.0009 data_time: 0.1644 memory: 21548 grad_norm: 4.4666 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8439 loss: 0.8439 2022/08/01 17:30:38 - mmengine - INFO - Epoch(train) [67][780/940] lr: 1.0000e-03 eta: 7:50:05 time: 0.8515 data_time: 0.0316 memory: 21548 grad_norm: 4.3262 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8495 loss: 0.8495 2022/08/01 17:30:55 - mmengine - INFO - Epoch(train) [67][800/940] lr: 1.0000e-03 eta: 7:49:47 time: 0.8682 data_time: 0.0302 memory: 21548 grad_norm: 4.3771 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7014 loss: 0.7014 2022/08/01 17:31:11 - mmengine - INFO - Epoch(train) [67][820/940] lr: 1.0000e-03 eta: 7:49:28 time: 0.8148 data_time: 0.0423 memory: 21548 grad_norm: 4.2561 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9374 loss: 0.9374 2022/08/01 17:31:30 - mmengine - INFO - Epoch(train) [67][840/940] lr: 1.0000e-03 eta: 7:49:10 time: 0.9325 data_time: 0.0305 memory: 21548 grad_norm: 4.4295 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7855 loss: 0.7855 2022/08/01 17:31:46 - mmengine - INFO - Epoch(train) [67][860/940] lr: 1.0000e-03 eta: 7:48:51 time: 0.7836 data_time: 0.0584 memory: 21548 grad_norm: 4.2522 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7992 loss: 0.7992 2022/08/01 17:32:04 - mmengine - INFO - Epoch(train) [67][880/940] lr: 1.0000e-03 eta: 7:48:33 time: 0.9121 data_time: 0.0317 memory: 21548 grad_norm: 4.4154 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8059 loss: 0.8059 2022/08/01 17:32:19 - mmengine - INFO - Epoch(train) [67][900/940] lr: 1.0000e-03 eta: 7:48:13 time: 0.7460 data_time: 0.0406 memory: 21548 grad_norm: 4.3225 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7587 loss: 0.7587 2022/08/01 17:32:38 - mmengine - INFO - Epoch(train) [67][920/940] lr: 1.0000e-03 eta: 7:47:56 time: 0.9748 data_time: 0.0343 memory: 21548 grad_norm: 4.3898 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7394 loss: 0.7394 2022/08/01 17:32:52 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 17:32:52 - mmengine - INFO - Epoch(train) [67][940/940] lr: 1.0000e-03 eta: 7:47:35 time: 0.6590 data_time: 0.0291 memory: 21548 grad_norm: 4.6883 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 0.8949 loss: 0.8949 2022/08/01 17:33:12 - mmengine - INFO - Epoch(val) [67][20/78] eta: 0:00:58 time: 1.0142 data_time: 0.8904 memory: 3271 2022/08/01 17:33:26 - mmengine - INFO - Epoch(val) [67][40/78] eta: 0:00:26 time: 0.7096 data_time: 0.5778 memory: 3271 2022/08/01 17:33:45 - mmengine - INFO - Epoch(val) [67][60/78] eta: 0:00:16 time: 0.9348 data_time: 0.7973 memory: 3271 2022/08/01 17:34:00 - mmengine - INFO - Epoch(val) [67][78/78] acc/top1: 0.7146 acc/top5: 0.8981 acc/mean1: 0.7145 2022/08/01 17:34:24 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 17:34:24 - mmengine - INFO - Epoch(train) [68][20/940] lr: 1.0000e-03 eta: 7:47:20 time: 1.1679 data_time: 0.4551 memory: 21548 grad_norm: 4.2735 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8087 loss: 0.8087 2022/08/01 17:34:39 - mmengine - INFO - Epoch(train) [68][40/940] lr: 1.0000e-03 eta: 7:47:00 time: 0.7527 data_time: 0.1150 memory: 21548 grad_norm: 4.2840 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8217 loss: 0.8217 2022/08/01 17:34:58 - mmengine - INFO - Epoch(train) [68][60/940] lr: 1.0000e-03 eta: 7:46:43 time: 0.9502 data_time: 0.1758 memory: 21548 grad_norm: 4.2448 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8000 loss: 0.8000 2022/08/01 17:35:13 - mmengine - INFO - Epoch(train) [68][80/940] lr: 1.0000e-03 eta: 7:46:23 time: 0.7649 data_time: 0.0567 memory: 21548 grad_norm: 4.4368 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8053 loss: 0.8053 2022/08/01 17:35:32 - mmengine - INFO - Epoch(train) [68][100/940] lr: 1.0000e-03 eta: 7:46:06 time: 0.9601 data_time: 0.0367 memory: 21548 grad_norm: 4.2772 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8071 loss: 0.8071 2022/08/01 17:35:48 - mmengine - INFO - Epoch(train) [68][120/940] lr: 1.0000e-03 eta: 7:45:46 time: 0.7698 data_time: 0.0403 memory: 21548 grad_norm: 4.5520 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6979 loss: 0.6979 2022/08/01 17:36:09 - mmengine - INFO - Epoch(train) [68][140/940] lr: 1.0000e-03 eta: 7:45:30 time: 1.0745 data_time: 0.0460 memory: 21548 grad_norm: 4.4286 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7596 loss: 0.7596 2022/08/01 17:36:25 - mmengine - INFO - Epoch(train) [68][160/940] lr: 1.0000e-03 eta: 7:45:10 time: 0.7725 data_time: 0.0282 memory: 21548 grad_norm: 4.2715 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7888 loss: 0.7888 2022/08/01 17:36:44 - mmengine - INFO - Epoch(train) [68][180/940] lr: 1.0000e-03 eta: 7:44:53 time: 0.9483 data_time: 0.0321 memory: 21548 grad_norm: 4.3226 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7357 loss: 0.7357 2022/08/01 17:37:00 - mmengine - INFO - Epoch(train) [68][200/940] lr: 1.0000e-03 eta: 7:44:34 time: 0.8368 data_time: 0.0351 memory: 21548 grad_norm: 4.5416 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8380 loss: 0.8380 2022/08/01 17:37:18 - mmengine - INFO - Epoch(train) [68][220/940] lr: 1.0000e-03 eta: 7:44:16 time: 0.8704 data_time: 0.0546 memory: 21548 grad_norm: 4.3833 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7551 loss: 0.7551 2022/08/01 17:37:33 - mmengine - INFO - Epoch(train) [68][240/940] lr: 1.0000e-03 eta: 7:43:56 time: 0.7532 data_time: 0.0346 memory: 21548 grad_norm: 4.5445 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8400 loss: 0.8400 2022/08/01 17:37:51 - mmengine - INFO - Epoch(train) [68][260/940] lr: 1.0000e-03 eta: 7:43:38 time: 0.9311 data_time: 0.0404 memory: 21548 grad_norm: 4.3090 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.8183 loss: 0.8183 2022/08/01 17:38:07 - mmengine - INFO - Epoch(train) [68][280/940] lr: 1.0000e-03 eta: 7:43:19 time: 0.7549 data_time: 0.0359 memory: 21548 grad_norm: 4.3325 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7801 loss: 0.7801 2022/08/01 17:38:26 - mmengine - INFO - Epoch(train) [68][300/940] lr: 1.0000e-03 eta: 7:43:01 time: 0.9814 data_time: 0.0363 memory: 21548 grad_norm: 4.3440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7687 loss: 0.7687 2022/08/01 17:38:41 - mmengine - INFO - Epoch(train) [68][320/940] lr: 1.0000e-03 eta: 7:42:42 time: 0.7480 data_time: 0.0430 memory: 21548 grad_norm: 4.2848 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8063 loss: 0.8063 2022/08/01 17:39:01 - mmengine - INFO - Epoch(train) [68][340/940] lr: 1.0000e-03 eta: 7:42:25 time: 1.0185 data_time: 0.0360 memory: 21548 grad_norm: 4.2255 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.7309 loss: 0.7309 2022/08/01 17:39:17 - mmengine - INFO - Epoch(train) [68][360/940] lr: 1.0000e-03 eta: 7:42:05 time: 0.7690 data_time: 0.0353 memory: 21548 grad_norm: 4.3861 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7699 loss: 0.7699 2022/08/01 17:39:35 - mmengine - INFO - Epoch(train) [68][380/940] lr: 1.0000e-03 eta: 7:41:47 time: 0.9278 data_time: 0.0378 memory: 21548 grad_norm: 4.4271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7851 loss: 0.7851 2022/08/01 17:39:50 - mmengine - INFO - Epoch(train) [68][400/940] lr: 1.0000e-03 eta: 7:41:28 time: 0.7348 data_time: 0.0351 memory: 21548 grad_norm: 4.4348 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8057 loss: 0.8057 2022/08/01 17:40:08 - mmengine - INFO - Epoch(train) [68][420/940] lr: 1.0000e-03 eta: 7:41:10 time: 0.9158 data_time: 0.0358 memory: 21548 grad_norm: 4.4179 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9271 loss: 0.9271 2022/08/01 17:40:24 - mmengine - INFO - Epoch(train) [68][440/940] lr: 1.0000e-03 eta: 7:40:50 time: 0.7679 data_time: 0.0343 memory: 21548 grad_norm: 4.2848 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8412 loss: 0.8412 2022/08/01 17:40:43 - mmengine - INFO - Epoch(train) [68][460/940] lr: 1.0000e-03 eta: 7:40:33 time: 0.9357 data_time: 0.0557 memory: 21548 grad_norm: 4.2504 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7501 loss: 0.7501 2022/08/01 17:40:58 - mmengine - INFO - Epoch(train) [68][480/940] lr: 1.0000e-03 eta: 7:40:13 time: 0.7559 data_time: 0.0353 memory: 21548 grad_norm: 4.2493 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8150 loss: 0.8150 2022/08/01 17:41:16 - mmengine - INFO - Epoch(train) [68][500/940] lr: 1.0000e-03 eta: 7:39:55 time: 0.9190 data_time: 0.0547 memory: 21548 grad_norm: 4.4831 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7705 loss: 0.7705 2022/08/01 17:41:32 - mmengine - INFO - Epoch(train) [68][520/940] lr: 1.0000e-03 eta: 7:39:36 time: 0.7938 data_time: 0.0730 memory: 21548 grad_norm: 4.3310 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7502 loss: 0.7502 2022/08/01 17:41:50 - mmengine - INFO - Epoch(train) [68][540/940] lr: 1.0000e-03 eta: 7:39:18 time: 0.9123 data_time: 0.0821 memory: 21548 grad_norm: 4.3950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8993 loss: 0.8993 2022/08/01 17:42:07 - mmengine - INFO - Epoch(train) [68][560/940] lr: 1.0000e-03 eta: 7:38:59 time: 0.8265 data_time: 0.0488 memory: 21548 grad_norm: 4.3382 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8056 loss: 0.8056 2022/08/01 17:42:26 - mmengine - INFO - Epoch(train) [68][580/940] lr: 1.0000e-03 eta: 7:38:41 time: 0.9424 data_time: 0.0375 memory: 21548 grad_norm: 4.4341 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8196 loss: 0.8196 2022/08/01 17:42:41 - mmengine - INFO - Epoch(train) [68][600/940] lr: 1.0000e-03 eta: 7:38:22 time: 0.7772 data_time: 0.0365 memory: 21548 grad_norm: 4.2966 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.7562 loss: 0.7562 2022/08/01 17:42:59 - mmengine - INFO - Epoch(train) [68][620/940] lr: 1.0000e-03 eta: 7:38:04 time: 0.8753 data_time: 0.0406 memory: 21548 grad_norm: 4.3541 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.7998 loss: 0.7998 2022/08/01 17:43:14 - mmengine - INFO - Epoch(train) [68][640/940] lr: 1.0000e-03 eta: 7:37:44 time: 0.7429 data_time: 0.0639 memory: 21548 grad_norm: 4.4497 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8337 loss: 0.8337 2022/08/01 17:43:32 - mmengine - INFO - Epoch(train) [68][660/940] lr: 1.0000e-03 eta: 7:37:26 time: 0.9137 data_time: 0.1365 memory: 21548 grad_norm: 4.3756 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7627 loss: 0.7627 2022/08/01 17:43:48 - mmengine - INFO - Epoch(train) [68][680/940] lr: 1.0000e-03 eta: 7:37:07 time: 0.8101 data_time: 0.1995 memory: 21548 grad_norm: 4.3286 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7351 loss: 0.7351 2022/08/01 17:44:07 - mmengine - INFO - Epoch(train) [68][700/940] lr: 1.0000e-03 eta: 7:36:49 time: 0.9404 data_time: 0.1071 memory: 21548 grad_norm: 4.5236 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7616 loss: 0.7616 2022/08/01 17:44:23 - mmengine - INFO - Epoch(train) [68][720/940] lr: 1.0000e-03 eta: 7:36:31 time: 0.8333 data_time: 0.1741 memory: 21548 grad_norm: 4.3120 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8913 loss: 0.8913 2022/08/01 17:44:41 - mmengine - INFO - Epoch(train) [68][740/940] lr: 1.0000e-03 eta: 7:36:13 time: 0.8901 data_time: 0.1868 memory: 21548 grad_norm: 4.3987 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7887 loss: 0.7887 2022/08/01 17:44:59 - mmengine - INFO - Epoch(train) [68][760/940] lr: 1.0000e-03 eta: 7:35:54 time: 0.8762 data_time: 0.2513 memory: 21548 grad_norm: 4.3676 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8672 loss: 0.8672 2022/08/01 17:45:16 - mmengine - INFO - Epoch(train) [68][780/940] lr: 1.0000e-03 eta: 7:35:36 time: 0.8484 data_time: 0.2688 memory: 21548 grad_norm: 4.3547 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7165 loss: 0.7165 2022/08/01 17:45:33 - mmengine - INFO - Epoch(train) [68][800/940] lr: 1.0000e-03 eta: 7:35:17 time: 0.8430 data_time: 0.2529 memory: 21548 grad_norm: 4.4076 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8400 loss: 0.8400 2022/08/01 17:45:49 - mmengine - INFO - Epoch(train) [68][820/940] lr: 1.0000e-03 eta: 7:34:58 time: 0.8291 data_time: 0.1901 memory: 21548 grad_norm: 4.4368 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8281 loss: 0.8281 2022/08/01 17:46:05 - mmengine - INFO - Epoch(train) [68][840/940] lr: 1.0000e-03 eta: 7:34:39 time: 0.8115 data_time: 0.2178 memory: 21548 grad_norm: 4.3708 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8382 loss: 0.8382 2022/08/01 17:46:23 - mmengine - INFO - Epoch(train) [68][860/940] lr: 1.0000e-03 eta: 7:34:21 time: 0.8822 data_time: 0.1601 memory: 21548 grad_norm: 4.3232 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6858 loss: 0.6858 2022/08/01 17:46:40 - mmengine - INFO - Epoch(train) [68][880/940] lr: 1.0000e-03 eta: 7:34:02 time: 0.8444 data_time: 0.2068 memory: 21548 grad_norm: 4.3531 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7150 loss: 0.7150 2022/08/01 17:46:57 - mmengine - INFO - Epoch(train) [68][900/940] lr: 1.0000e-03 eta: 7:33:44 time: 0.8683 data_time: 0.1449 memory: 21548 grad_norm: 4.4448 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6924 loss: 0.6924 2022/08/01 17:47:16 - mmengine - INFO - Epoch(train) [68][920/940] lr: 1.0000e-03 eta: 7:33:26 time: 0.9130 data_time: 0.0672 memory: 21548 grad_norm: 4.4066 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7659 loss: 0.7659 2022/08/01 17:47:30 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 17:47:30 - mmengine - INFO - Epoch(train) [68][940/940] lr: 1.0000e-03 eta: 7:33:06 time: 0.7406 data_time: 0.0247 memory: 21548 grad_norm: 4.7910 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.7874 loss: 0.7874 2022/08/01 17:47:51 - mmengine - INFO - Epoch(val) [68][20/78] eta: 0:00:59 time: 1.0201 data_time: 0.8746 memory: 3271 2022/08/01 17:48:04 - mmengine - INFO - Epoch(val) [68][40/78] eta: 0:00:25 time: 0.6717 data_time: 0.5500 memory: 3271 2022/08/01 17:48:23 - mmengine - INFO - Epoch(val) [68][60/78] eta: 0:00:16 time: 0.9345 data_time: 0.8025 memory: 3271 2022/08/01 17:48:39 - mmengine - INFO - Epoch(val) [68][78/78] acc/top1: 0.7144 acc/top5: 0.8982 acc/mean1: 0.7143 2022/08/01 17:49:02 - mmengine - INFO - Epoch(train) [69][20/940] lr: 1.0000e-03 eta: 7:32:50 time: 1.1319 data_time: 0.4972 memory: 21548 grad_norm: 4.3096 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8425 loss: 0.8425 2022/08/01 17:49:18 - mmengine - INFO - Epoch(train) [69][40/940] lr: 1.0000e-03 eta: 7:32:31 time: 0.8045 data_time: 0.0878 memory: 21548 grad_norm: 4.5228 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8062 loss: 0.8062 2022/08/01 17:49:36 - mmengine - INFO - Epoch(train) [69][60/940] lr: 1.0000e-03 eta: 7:32:13 time: 0.9263 data_time: 0.0412 memory: 21548 grad_norm: 4.3828 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.7544 loss: 0.7544 2022/08/01 17:49:51 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 17:49:51 - mmengine - INFO - Epoch(train) [69][80/940] lr: 1.0000e-03 eta: 7:31:54 time: 0.7531 data_time: 0.0358 memory: 21548 grad_norm: 4.4097 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8088 loss: 0.8088 2022/08/01 17:50:10 - mmengine - INFO - Epoch(train) [69][100/940] lr: 1.0000e-03 eta: 7:31:36 time: 0.9339 data_time: 0.0565 memory: 21548 grad_norm: 4.3243 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7913 loss: 0.7913 2022/08/01 17:50:26 - mmengine - INFO - Epoch(train) [69][120/940] lr: 1.0000e-03 eta: 7:31:17 time: 0.7874 data_time: 0.0601 memory: 21548 grad_norm: 4.4731 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8453 loss: 0.8453 2022/08/01 17:50:46 - mmengine - INFO - Epoch(train) [69][140/940] lr: 1.0000e-03 eta: 7:31:00 time: 0.9856 data_time: 0.0417 memory: 21548 grad_norm: 4.3888 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7629 loss: 0.7629 2022/08/01 17:51:01 - mmengine - INFO - Epoch(train) [69][160/940] lr: 1.0000e-03 eta: 7:30:40 time: 0.7538 data_time: 0.0351 memory: 21548 grad_norm: 4.4246 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8269 loss: 0.8269 2022/08/01 17:51:19 - mmengine - INFO - Epoch(train) [69][180/940] lr: 1.0000e-03 eta: 7:30:22 time: 0.9084 data_time: 0.0432 memory: 21548 grad_norm: 4.4128 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8393 loss: 0.8393 2022/08/01 17:51:36 - mmengine - INFO - Epoch(train) [69][200/940] lr: 1.0000e-03 eta: 7:30:03 time: 0.8367 data_time: 0.0360 memory: 21548 grad_norm: 4.2561 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.7984 loss: 0.7984 2022/08/01 17:51:53 - mmengine - INFO - Epoch(train) [69][220/940] lr: 1.0000e-03 eta: 7:29:45 time: 0.8549 data_time: 0.0370 memory: 21548 grad_norm: 4.3897 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7544 loss: 0.7544 2022/08/01 17:52:11 - mmengine - INFO - Epoch(train) [69][240/940] lr: 1.0000e-03 eta: 7:29:27 time: 0.9280 data_time: 0.0428 memory: 21548 grad_norm: 4.4280 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8378 loss: 0.8378 2022/08/01 17:52:32 - mmengine - INFO - Epoch(train) [69][260/940] lr: 1.0000e-03 eta: 7:29:10 time: 1.0480 data_time: 0.0318 memory: 21548 grad_norm: 4.2876 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7836 loss: 0.7836 2022/08/01 17:52:47 - mmengine - INFO - Epoch(train) [69][280/940] lr: 1.0000e-03 eta: 7:28:51 time: 0.7454 data_time: 0.0359 memory: 21548 grad_norm: 4.3756 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8081 loss: 0.8081 2022/08/01 17:53:06 - mmengine - INFO - Epoch(train) [69][300/940] lr: 1.0000e-03 eta: 7:28:33 time: 0.9286 data_time: 0.0367 memory: 21548 grad_norm: 4.4627 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7468 loss: 0.7468 2022/08/01 17:53:20 - mmengine - INFO - Epoch(train) [69][320/940] lr: 1.0000e-03 eta: 7:28:13 time: 0.7091 data_time: 0.0331 memory: 21548 grad_norm: 4.5010 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8115 loss: 0.8115 2022/08/01 17:53:40 - mmengine - INFO - Epoch(train) [69][340/940] lr: 1.0000e-03 eta: 7:27:56 time: 0.9861 data_time: 0.0347 memory: 21548 grad_norm: 4.3407 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7539 loss: 0.7539 2022/08/01 17:53:55 - mmengine - INFO - Epoch(train) [69][360/940] lr: 1.0000e-03 eta: 7:27:37 time: 0.7875 data_time: 0.0340 memory: 21548 grad_norm: 4.3430 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6676 loss: 0.6676 2022/08/01 17:54:14 - mmengine - INFO - Epoch(train) [69][380/940] lr: 1.0000e-03 eta: 7:27:19 time: 0.9188 data_time: 0.0313 memory: 21548 grad_norm: 4.2881 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7668 loss: 0.7668 2022/08/01 17:54:30 - mmengine - INFO - Epoch(train) [69][400/940] lr: 1.0000e-03 eta: 7:27:00 time: 0.7889 data_time: 0.0463 memory: 21548 grad_norm: 4.4135 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8672 loss: 0.8672 2022/08/01 17:54:49 - mmengine - INFO - Epoch(train) [69][420/940] lr: 1.0000e-03 eta: 7:26:42 time: 0.9672 data_time: 0.0341 memory: 21548 grad_norm: 4.4188 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.8447 loss: 0.8447 2022/08/01 17:55:04 - mmengine - INFO - Epoch(train) [69][440/940] lr: 1.0000e-03 eta: 7:26:23 time: 0.7634 data_time: 0.0358 memory: 21548 grad_norm: 4.3084 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8789 loss: 0.8789 2022/08/01 17:55:22 - mmengine - INFO - Epoch(train) [69][460/940] lr: 1.0000e-03 eta: 7:26:04 time: 0.8863 data_time: 0.0513 memory: 21548 grad_norm: 4.4086 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7527 loss: 0.7527 2022/08/01 17:55:38 - mmengine - INFO - Epoch(train) [69][480/940] lr: 1.0000e-03 eta: 7:25:46 time: 0.8187 data_time: 0.0391 memory: 21548 grad_norm: 4.3478 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8370 loss: 0.8370 2022/08/01 17:55:58 - mmengine - INFO - Epoch(train) [69][500/940] lr: 1.0000e-03 eta: 7:25:28 time: 0.9945 data_time: 0.0371 memory: 21548 grad_norm: 4.3912 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7695 loss: 0.7695 2022/08/01 17:56:14 - mmengine - INFO - Epoch(train) [69][520/940] lr: 1.0000e-03 eta: 7:25:09 time: 0.7836 data_time: 0.0369 memory: 21548 grad_norm: 4.4185 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7074 loss: 0.7074 2022/08/01 17:56:32 - mmengine - INFO - Epoch(train) [69][540/940] lr: 1.0000e-03 eta: 7:24:51 time: 0.9012 data_time: 0.0359 memory: 21548 grad_norm: 4.4481 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7326 loss: 0.7326 2022/08/01 17:56:46 - mmengine - INFO - Epoch(train) [69][560/940] lr: 1.0000e-03 eta: 7:24:31 time: 0.7304 data_time: 0.0380 memory: 21548 grad_norm: 4.2292 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8293 loss: 0.8293 2022/08/01 17:57:04 - mmengine - INFO - Epoch(train) [69][580/940] lr: 1.0000e-03 eta: 7:24:13 time: 0.8855 data_time: 0.0356 memory: 21548 grad_norm: 4.3418 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8358 loss: 0.8358 2022/08/01 17:57:20 - mmengine - INFO - Epoch(train) [69][600/940] lr: 1.0000e-03 eta: 7:23:54 time: 0.8026 data_time: 0.0387 memory: 21548 grad_norm: 4.3488 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.7496 loss: 0.7496 2022/08/01 17:57:39 - mmengine - INFO - Epoch(train) [69][620/940] lr: 1.0000e-03 eta: 7:23:37 time: 0.9449 data_time: 0.0402 memory: 21548 grad_norm: 4.4431 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.8806 loss: 0.8806 2022/08/01 17:57:54 - mmengine - INFO - Epoch(train) [69][640/940] lr: 1.0000e-03 eta: 7:23:17 time: 0.7366 data_time: 0.0368 memory: 21548 grad_norm: 4.4595 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8665 loss: 0.8665 2022/08/01 17:58:13 - mmengine - INFO - Epoch(train) [69][660/940] lr: 1.0000e-03 eta: 7:22:59 time: 0.9474 data_time: 0.0396 memory: 21548 grad_norm: 4.3691 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7977 loss: 0.7977 2022/08/01 17:58:28 - mmengine - INFO - Epoch(train) [69][680/940] lr: 1.0000e-03 eta: 7:22:40 time: 0.7635 data_time: 0.0384 memory: 21548 grad_norm: 4.4250 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8557 loss: 0.8557 2022/08/01 17:58:49 - mmengine - INFO - Epoch(train) [69][700/940] lr: 1.0000e-03 eta: 7:22:23 time: 1.0587 data_time: 0.0376 memory: 21548 grad_norm: 4.3772 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8722 loss: 0.8722 2022/08/01 17:59:03 - mmengine - INFO - Epoch(train) [69][720/940] lr: 1.0000e-03 eta: 7:22:03 time: 0.7042 data_time: 0.0310 memory: 21548 grad_norm: 4.3920 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8585 loss: 0.8585 2022/08/01 17:59:23 - mmengine - INFO - Epoch(train) [69][740/940] lr: 1.0000e-03 eta: 7:21:46 time: 0.9595 data_time: 0.0398 memory: 21548 grad_norm: 4.3175 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8122 loss: 0.8122 2022/08/01 17:59:41 - mmengine - INFO - Epoch(train) [69][760/940] lr: 1.0000e-03 eta: 7:21:28 time: 0.9436 data_time: 0.0292 memory: 21548 grad_norm: 4.3655 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8318 loss: 0.8318 2022/08/01 18:00:09 - mmengine - INFO - Epoch(train) [69][780/940] lr: 1.0000e-03 eta: 7:21:14 time: 1.3538 data_time: 0.0935 memory: 21548 grad_norm: 4.4694 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8434 loss: 0.8434 2022/08/01 18:00:39 - mmengine - INFO - Epoch(train) [69][800/940] lr: 1.0000e-03 eta: 7:21:02 time: 1.5107 data_time: 0.0290 memory: 21548 grad_norm: 4.4427 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8411 loss: 0.8411 2022/08/01 18:00:55 - mmengine - INFO - Epoch(train) [69][820/940] lr: 1.0000e-03 eta: 7:20:43 time: 0.8142 data_time: 0.0708 memory: 21548 grad_norm: 4.4977 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6982 loss: 0.6982 2022/08/01 18:01:10 - mmengine - INFO - Epoch(train) [69][840/940] lr: 1.0000e-03 eta: 7:20:23 time: 0.7640 data_time: 0.0352 memory: 21548 grad_norm: 4.5181 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8031 loss: 0.8031 2022/08/01 18:01:29 - mmengine - INFO - Epoch(train) [69][860/940] lr: 1.0000e-03 eta: 7:20:05 time: 0.9198 data_time: 0.0403 memory: 21548 grad_norm: 4.2881 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8000 loss: 0.8000 2022/08/01 18:01:44 - mmengine - INFO - Epoch(train) [69][880/940] lr: 1.0000e-03 eta: 7:19:46 time: 0.7326 data_time: 0.0373 memory: 21548 grad_norm: 4.4361 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7218 loss: 0.7218 2022/08/01 18:02:03 - mmengine - INFO - Epoch(train) [69][900/940] lr: 1.0000e-03 eta: 7:19:28 time: 0.9651 data_time: 0.0516 memory: 21548 grad_norm: 4.4500 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8533 loss: 0.8533 2022/08/01 18:02:19 - mmengine - INFO - Epoch(train) [69][920/940] lr: 1.0000e-03 eta: 7:19:09 time: 0.8202 data_time: 0.0357 memory: 21548 grad_norm: 4.3365 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8360 loss: 0.8360 2022/08/01 18:02:34 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 18:02:34 - mmengine - INFO - Epoch(train) [69][940/940] lr: 1.0000e-03 eta: 7:18:50 time: 0.7613 data_time: 0.0330 memory: 21548 grad_norm: 4.7103 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8371 loss: 0.8371 2022/08/01 18:02:34 - mmengine - INFO - Saving checkpoint at 69 epochs 2022/08/01 18:02:57 - mmengine - INFO - Epoch(val) [69][20/78] eta: 0:01:00 time: 1.0419 data_time: 0.9190 memory: 3271 2022/08/01 18:03:11 - mmengine - INFO - Epoch(val) [69][40/78] eta: 0:00:26 time: 0.7011 data_time: 0.5779 memory: 3271 2022/08/01 18:03:30 - mmengine - INFO - Epoch(val) [69][60/78] eta: 0:00:17 time: 0.9528 data_time: 0.8303 memory: 3271 2022/08/01 18:03:44 - mmengine - INFO - Epoch(val) [69][78/78] acc/top1: 0.7154 acc/top5: 0.8981 acc/mean1: 0.7153 2022/08/01 18:04:07 - mmengine - INFO - Epoch(train) [70][20/940] lr: 1.0000e-03 eta: 7:18:34 time: 1.1517 data_time: 0.4294 memory: 21548 grad_norm: 4.1644 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8158 loss: 0.8158 2022/08/01 18:04:23 - mmengine - INFO - Epoch(train) [70][40/940] lr: 1.0000e-03 eta: 7:18:15 time: 0.7582 data_time: 0.1202 memory: 21548 grad_norm: 4.3597 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.7765 loss: 0.7765 2022/08/01 18:04:41 - mmengine - INFO - Epoch(train) [70][60/940] lr: 1.0000e-03 eta: 7:17:57 time: 0.9386 data_time: 0.0984 memory: 21548 grad_norm: 4.4135 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7403 loss: 0.7403 2022/08/01 18:04:58 - mmengine - INFO - Epoch(train) [70][80/940] lr: 1.0000e-03 eta: 7:17:39 time: 0.8510 data_time: 0.0578 memory: 21548 grad_norm: 4.4563 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8712 loss: 0.8712 2022/08/01 18:05:18 - mmengine - INFO - Epoch(train) [70][100/940] lr: 1.0000e-03 eta: 7:17:21 time: 0.9624 data_time: 0.0495 memory: 21548 grad_norm: 4.3368 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7988 loss: 0.7988 2022/08/01 18:05:32 - mmengine - INFO - Epoch(train) [70][120/940] lr: 1.0000e-03 eta: 7:17:01 time: 0.7338 data_time: 0.0348 memory: 21548 grad_norm: 4.3349 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.7743 loss: 0.7743 2022/08/01 18:05:52 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 18:05:52 - mmengine - INFO - Epoch(train) [70][140/940] lr: 1.0000e-03 eta: 7:16:44 time: 0.9812 data_time: 0.0390 memory: 21548 grad_norm: 4.4015 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.7154 loss: 0.7154 2022/08/01 18:06:08 - mmengine - INFO - Epoch(train) [70][160/940] lr: 1.0000e-03 eta: 7:16:25 time: 0.8119 data_time: 0.0347 memory: 21548 grad_norm: 4.4478 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7459 loss: 0.7459 2022/08/01 18:06:26 - mmengine - INFO - Epoch(train) [70][180/940] lr: 1.0000e-03 eta: 7:16:07 time: 0.8896 data_time: 0.0328 memory: 21548 grad_norm: 4.3724 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8713 loss: 0.8713 2022/08/01 18:06:41 - mmengine - INFO - Epoch(train) [70][200/940] lr: 1.0000e-03 eta: 7:15:48 time: 0.7516 data_time: 0.0450 memory: 21548 grad_norm: 4.4234 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8300 loss: 0.8300 2022/08/01 18:07:00 - mmengine - INFO - Epoch(train) [70][220/940] lr: 1.0000e-03 eta: 7:15:30 time: 0.9644 data_time: 0.0453 memory: 21548 grad_norm: 4.4871 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7697 loss: 0.7697 2022/08/01 18:07:16 - mmengine - INFO - Epoch(train) [70][240/940] lr: 1.0000e-03 eta: 7:15:11 time: 0.7809 data_time: 0.0324 memory: 21548 grad_norm: 4.4441 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8522 loss: 0.8522 2022/08/01 18:07:35 - mmengine - INFO - Epoch(train) [70][260/940] lr: 1.0000e-03 eta: 7:14:53 time: 0.9319 data_time: 0.0363 memory: 21548 grad_norm: 4.3718 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8452 loss: 0.8452 2022/08/01 18:07:50 - mmengine - INFO - Epoch(train) [70][280/940] lr: 1.0000e-03 eta: 7:14:34 time: 0.7522 data_time: 0.0361 memory: 21548 grad_norm: 4.4170 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8066 loss: 0.8066 2022/08/01 18:08:08 - mmengine - INFO - Epoch(train) [70][300/940] lr: 1.0000e-03 eta: 7:14:16 time: 0.8980 data_time: 0.0368 memory: 21548 grad_norm: 4.4829 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8436 loss: 0.8436 2022/08/01 18:08:23 - mmengine - INFO - Epoch(train) [70][320/940] lr: 1.0000e-03 eta: 7:13:56 time: 0.7608 data_time: 0.0376 memory: 21548 grad_norm: 4.5385 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7532 loss: 0.7532 2022/08/01 18:08:41 - mmengine - INFO - Epoch(train) [70][340/940] lr: 1.0000e-03 eta: 7:13:38 time: 0.9239 data_time: 0.0358 memory: 21548 grad_norm: 4.3928 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7492 loss: 0.7492 2022/08/01 18:08:58 - mmengine - INFO - Epoch(train) [70][360/940] lr: 1.0000e-03 eta: 7:13:19 time: 0.8203 data_time: 0.0416 memory: 21548 grad_norm: 4.4009 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7797 loss: 0.7797 2022/08/01 18:09:16 - mmengine - INFO - Epoch(train) [70][380/940] lr: 1.0000e-03 eta: 7:13:02 time: 0.9150 data_time: 0.0367 memory: 21548 grad_norm: 4.4263 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8165 loss: 0.8165 2022/08/01 18:09:31 - mmengine - INFO - Epoch(train) [70][400/940] lr: 1.0000e-03 eta: 7:12:42 time: 0.7630 data_time: 0.0325 memory: 21548 grad_norm: 4.2860 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.7876 loss: 0.7876 2022/08/01 18:09:50 - mmengine - INFO - Epoch(train) [70][420/940] lr: 1.0000e-03 eta: 7:12:24 time: 0.9322 data_time: 0.0397 memory: 21548 grad_norm: 4.5348 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.7483 loss: 0.7483 2022/08/01 18:10:04 - mmengine - INFO - Epoch(train) [70][440/940] lr: 1.0000e-03 eta: 7:12:05 time: 0.7264 data_time: 0.0389 memory: 21548 grad_norm: 4.4938 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8838 loss: 0.8838 2022/08/01 18:10:23 - mmengine - INFO - Epoch(train) [70][460/940] lr: 1.0000e-03 eta: 7:11:47 time: 0.9068 data_time: 0.0536 memory: 21548 grad_norm: 4.3920 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8841 loss: 0.8841 2022/08/01 18:10:39 - mmengine - INFO - Epoch(train) [70][480/940] lr: 1.0000e-03 eta: 7:11:28 time: 0.8411 data_time: 0.0327 memory: 21548 grad_norm: 4.4066 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8193 loss: 0.8193 2022/08/01 18:11:01 - mmengine - INFO - Epoch(train) [70][500/940] lr: 1.0000e-03 eta: 7:11:12 time: 1.0861 data_time: 0.0330 memory: 21548 grad_norm: 4.2629 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8177 loss: 0.8177 2022/08/01 18:11:32 - mmengine - INFO - Epoch(train) [70][520/940] lr: 1.0000e-03 eta: 7:10:59 time: 1.5630 data_time: 0.5653 memory: 21548 grad_norm: 4.4358 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8396 loss: 0.8396 2022/08/01 18:11:56 - mmengine - INFO - Epoch(train) [70][540/940] lr: 1.0000e-03 eta: 7:10:44 time: 1.1830 data_time: 0.7259 memory: 21548 grad_norm: 4.3555 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9033 loss: 0.9033 2022/08/01 18:12:12 - mmengine - INFO - Epoch(train) [70][560/940] lr: 1.0000e-03 eta: 7:10:25 time: 0.7838 data_time: 0.2800 memory: 21548 grad_norm: 4.4370 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8076 loss: 0.8076 2022/08/01 18:12:30 - mmengine - INFO - Epoch(train) [70][580/940] lr: 1.0000e-03 eta: 7:10:07 time: 0.9219 data_time: 0.4435 memory: 21548 grad_norm: 4.4217 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7371 loss: 0.7371 2022/08/01 18:12:46 - mmengine - INFO - Epoch(train) [70][600/940] lr: 1.0000e-03 eta: 7:09:47 time: 0.7667 data_time: 0.2903 memory: 21548 grad_norm: 4.5082 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9668 loss: 0.9668 2022/08/01 18:13:03 - mmengine - INFO - Epoch(train) [70][620/940] lr: 1.0000e-03 eta: 7:09:29 time: 0.8713 data_time: 0.3473 memory: 21548 grad_norm: 4.4745 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8700 loss: 0.8700 2022/08/01 18:13:20 - mmengine - INFO - Epoch(train) [70][640/940] lr: 1.0000e-03 eta: 7:09:11 time: 0.8633 data_time: 0.2182 memory: 21548 grad_norm: 4.4428 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8390 loss: 0.8390 2022/08/01 18:13:37 - mmengine - INFO - Epoch(train) [70][660/940] lr: 1.0000e-03 eta: 7:08:52 time: 0.8396 data_time: 0.2623 memory: 21548 grad_norm: 4.3558 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6768 loss: 0.6768 2022/08/01 18:13:54 - mmengine - INFO - Epoch(train) [70][680/940] lr: 1.0000e-03 eta: 7:08:33 time: 0.8331 data_time: 0.1926 memory: 21548 grad_norm: 4.3882 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7914 loss: 0.7914 2022/08/01 18:14:12 - mmengine - INFO - Epoch(train) [70][700/940] lr: 1.0000e-03 eta: 7:08:15 time: 0.8962 data_time: 0.3178 memory: 21548 grad_norm: 4.5127 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9345 loss: 0.9345 2022/08/01 18:14:31 - mmengine - INFO - Epoch(train) [70][720/940] lr: 1.0000e-03 eta: 7:07:58 time: 0.9594 data_time: 0.0295 memory: 21548 grad_norm: 4.4320 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.7316 loss: 0.7316 2022/08/01 18:14:46 - mmengine - INFO - Epoch(train) [70][740/940] lr: 1.0000e-03 eta: 7:07:38 time: 0.7386 data_time: 0.0636 memory: 21548 grad_norm: 4.3235 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8500 loss: 0.8500 2022/08/01 18:15:05 - mmengine - INFO - Epoch(train) [70][760/940] lr: 1.0000e-03 eta: 7:07:21 time: 0.9915 data_time: 0.0325 memory: 21548 grad_norm: 4.4384 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8188 loss: 0.8188 2022/08/01 18:15:20 - mmengine - INFO - Epoch(train) [70][780/940] lr: 1.0000e-03 eta: 7:07:01 time: 0.7465 data_time: 0.0373 memory: 21548 grad_norm: 4.4390 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9042 loss: 0.9042 2022/08/01 18:15:41 - mmengine - INFO - Epoch(train) [70][800/940] lr: 1.0000e-03 eta: 7:06:44 time: 1.0059 data_time: 0.1582 memory: 21548 grad_norm: 4.4134 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7664 loss: 0.7664 2022/08/01 18:16:03 - mmengine - INFO - Epoch(train) [70][820/940] lr: 1.0000e-03 eta: 7:06:28 time: 1.1058 data_time: 0.3628 memory: 21548 grad_norm: 4.4353 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8227 loss: 0.8227 2022/08/01 18:16:17 - mmengine - INFO - Epoch(train) [70][840/940] lr: 1.0000e-03 eta: 7:06:08 time: 0.7145 data_time: 0.1563 memory: 21548 grad_norm: 4.5388 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 0.8089 loss: 0.8089 2022/08/01 18:16:36 - mmengine - INFO - Epoch(train) [70][860/940] lr: 1.0000e-03 eta: 7:05:51 time: 0.9710 data_time: 0.1610 memory: 21548 grad_norm: 4.4329 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8452 loss: 0.8452 2022/08/01 18:16:52 - mmengine - INFO - Epoch(train) [70][880/940] lr: 1.0000e-03 eta: 7:05:32 time: 0.7870 data_time: 0.0402 memory: 21548 grad_norm: 4.4658 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8635 loss: 0.8635 2022/08/01 18:17:11 - mmengine - INFO - Epoch(train) [70][900/940] lr: 1.0000e-03 eta: 7:05:14 time: 0.9251 data_time: 0.0467 memory: 21548 grad_norm: 4.4330 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7146 loss: 0.7146 2022/08/01 18:17:26 - mmengine - INFO - Epoch(train) [70][920/940] lr: 1.0000e-03 eta: 7:04:55 time: 0.7842 data_time: 0.0335 memory: 21548 grad_norm: 4.5540 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7504 loss: 0.7504 2022/08/01 18:17:43 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 18:17:43 - mmengine - INFO - Epoch(train) [70][940/940] lr: 1.0000e-03 eta: 7:04:36 time: 0.8156 data_time: 0.0289 memory: 21548 grad_norm: 4.8548 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 0.9101 loss: 0.9101 2022/08/01 18:18:03 - mmengine - INFO - Epoch(val) [70][20/78] eta: 0:00:58 time: 1.0107 data_time: 0.8842 memory: 3271 2022/08/01 18:18:17 - mmengine - INFO - Epoch(val) [70][40/78] eta: 0:00:27 time: 0.7223 data_time: 0.6001 memory: 3271 2022/08/01 18:18:37 - mmengine - INFO - Epoch(val) [70][60/78] eta: 0:00:17 time: 0.9964 data_time: 0.8587 memory: 3271 2022/08/01 18:18:52 - mmengine - INFO - Epoch(val) [70][78/78] acc/top1: 0.7169 acc/top5: 0.8996 acc/mean1: 0.7168 2022/08/01 18:19:14 - mmengine - INFO - Epoch(train) [71][20/940] lr: 1.0000e-03 eta: 7:04:20 time: 1.1237 data_time: 0.5423 memory: 21548 grad_norm: 4.3766 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7614 loss: 0.7614 2022/08/01 18:19:29 - mmengine - INFO - Epoch(train) [71][40/940] lr: 1.0000e-03 eta: 7:04:00 time: 0.7585 data_time: 0.1929 memory: 21548 grad_norm: 4.5465 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8491 loss: 0.8491 2022/08/01 18:19:49 - mmengine - INFO - Epoch(train) [71][60/940] lr: 1.0000e-03 eta: 7:03:43 time: 0.9657 data_time: 0.3112 memory: 21548 grad_norm: 4.4155 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8632 loss: 0.8632 2022/08/01 18:20:05 - mmengine - INFO - Epoch(train) [71][80/940] lr: 1.0000e-03 eta: 7:03:24 time: 0.8205 data_time: 0.0856 memory: 21548 grad_norm: 4.3684 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8727 loss: 0.8727 2022/08/01 18:20:24 - mmengine - INFO - Epoch(train) [71][100/940] lr: 1.0000e-03 eta: 7:03:06 time: 0.9546 data_time: 0.0392 memory: 21548 grad_norm: 4.4397 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8089 loss: 0.8089 2022/08/01 18:20:40 - mmengine - INFO - Epoch(train) [71][120/940] lr: 1.0000e-03 eta: 7:02:47 time: 0.7650 data_time: 0.1896 memory: 21548 grad_norm: 4.5521 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8819 loss: 0.8819 2022/08/01 18:20:57 - mmengine - INFO - Epoch(train) [71][140/940] lr: 1.0000e-03 eta: 7:02:29 time: 0.8728 data_time: 0.3129 memory: 21548 grad_norm: 4.2666 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7282 loss: 0.7282 2022/08/01 18:21:12 - mmengine - INFO - Epoch(train) [71][160/940] lr: 1.0000e-03 eta: 7:02:10 time: 0.7681 data_time: 0.3115 memory: 21548 grad_norm: 4.3328 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8204 loss: 0.8204 2022/08/01 18:21:31 - mmengine - INFO - Epoch(train) [71][180/940] lr: 1.0000e-03 eta: 7:01:52 time: 0.9319 data_time: 0.3805 memory: 21548 grad_norm: 4.2598 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8640 loss: 0.8640 2022/08/01 18:21:47 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 18:21:47 - mmengine - INFO - Epoch(train) [71][200/940] lr: 1.0000e-03 eta: 7:01:33 time: 0.7783 data_time: 0.2103 memory: 21548 grad_norm: 4.4573 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.7774 loss: 0.7774 2022/08/01 18:22:06 - mmengine - INFO - Epoch(train) [71][220/940] lr: 1.0000e-03 eta: 7:01:15 time: 0.9778 data_time: 0.1338 memory: 21548 grad_norm: 4.3561 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8191 loss: 0.8191 2022/08/01 18:22:21 - mmengine - INFO - Epoch(train) [71][240/940] lr: 1.0000e-03 eta: 7:00:56 time: 0.7278 data_time: 0.0321 memory: 21548 grad_norm: 4.3977 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7648 loss: 0.7648 2022/08/01 18:22:40 - mmengine - INFO - Epoch(train) [71][260/940] lr: 1.0000e-03 eta: 7:00:38 time: 0.9650 data_time: 0.0542 memory: 21548 grad_norm: 4.4060 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7780 loss: 0.7780 2022/08/01 18:22:56 - mmengine - INFO - Epoch(train) [71][280/940] lr: 1.0000e-03 eta: 7:00:19 time: 0.7888 data_time: 0.0325 memory: 21548 grad_norm: 4.3880 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8419 loss: 0.8419 2022/08/01 18:23:15 - mmengine - INFO - Epoch(train) [71][300/940] lr: 1.0000e-03 eta: 7:00:01 time: 0.9534 data_time: 0.0390 memory: 21548 grad_norm: 4.4172 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8500 loss: 0.8500 2022/08/01 18:23:30 - mmengine - INFO - Epoch(train) [71][320/940] lr: 1.0000e-03 eta: 6:59:42 time: 0.7519 data_time: 0.0384 memory: 21548 grad_norm: 4.3990 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7713 loss: 0.7713 2022/08/01 18:23:50 - mmengine - INFO - Epoch(train) [71][340/940] lr: 1.0000e-03 eta: 6:59:25 time: 0.9840 data_time: 0.0345 memory: 21548 grad_norm: 4.4151 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8221 loss: 0.8221 2022/08/01 18:24:05 - mmengine - INFO - Epoch(train) [71][360/940] lr: 1.0000e-03 eta: 6:59:05 time: 0.7599 data_time: 0.0378 memory: 21548 grad_norm: 4.3380 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7936 loss: 0.7936 2022/08/01 18:24:23 - mmengine - INFO - Epoch(train) [71][380/940] lr: 1.0000e-03 eta: 6:58:47 time: 0.9074 data_time: 0.0462 memory: 21548 grad_norm: 4.3871 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7430 loss: 0.7430 2022/08/01 18:24:39 - mmengine - INFO - Epoch(train) [71][400/940] lr: 1.0000e-03 eta: 6:58:28 time: 0.7752 data_time: 0.0386 memory: 21548 grad_norm: 4.4757 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8778 loss: 0.8778 2022/08/01 18:24:58 - mmengine - INFO - Epoch(train) [71][420/940] lr: 1.0000e-03 eta: 6:58:11 time: 0.9643 data_time: 0.0379 memory: 21548 grad_norm: 4.5367 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8420 loss: 0.8420 2022/08/01 18:25:13 - mmengine - INFO - Epoch(train) [71][440/940] lr: 1.0000e-03 eta: 6:57:51 time: 0.7493 data_time: 0.0419 memory: 21548 grad_norm: 4.4936 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8013 loss: 0.8013 2022/08/01 18:25:34 - mmengine - INFO - Epoch(train) [71][460/940] lr: 1.0000e-03 eta: 6:57:34 time: 1.0375 data_time: 0.0355 memory: 21548 grad_norm: 4.4929 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7802 loss: 0.7802 2022/08/01 18:25:47 - mmengine - INFO - Epoch(train) [71][480/940] lr: 1.0000e-03 eta: 6:57:15 time: 0.6935 data_time: 0.0366 memory: 21548 grad_norm: 4.3635 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7690 loss: 0.7690 2022/08/01 18:26:07 - mmengine - INFO - Epoch(train) [71][500/940] lr: 1.0000e-03 eta: 6:56:57 time: 0.9502 data_time: 0.0380 memory: 21548 grad_norm: 4.4058 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7298 loss: 0.7298 2022/08/01 18:26:22 - mmengine - INFO - Epoch(train) [71][520/940] lr: 1.0000e-03 eta: 6:56:38 time: 0.7816 data_time: 0.0504 memory: 21548 grad_norm: 4.4862 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8382 loss: 0.8382 2022/08/01 18:26:42 - mmengine - INFO - Epoch(train) [71][540/940] lr: 1.0000e-03 eta: 6:56:20 time: 0.9796 data_time: 0.0407 memory: 21548 grad_norm: 4.3737 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7700 loss: 0.7700 2022/08/01 18:26:58 - mmengine - INFO - Epoch(train) [71][560/940] lr: 1.0000e-03 eta: 6:56:02 time: 0.8018 data_time: 0.0399 memory: 21548 grad_norm: 4.3557 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7460 loss: 0.7460 2022/08/01 18:27:23 - mmengine - INFO - Epoch(train) [71][580/940] lr: 1.0000e-03 eta: 6:55:47 time: 1.2786 data_time: 0.0311 memory: 21548 grad_norm: 4.4648 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8584 loss: 0.8584 2022/08/01 18:27:39 - mmengine - INFO - Epoch(train) [71][600/940] lr: 1.0000e-03 eta: 6:55:28 time: 0.8074 data_time: 0.0361 memory: 21548 grad_norm: 4.4129 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8306 loss: 0.8306 2022/08/01 18:27:58 - mmengine - INFO - Epoch(train) [71][620/940] lr: 1.0000e-03 eta: 6:55:10 time: 0.9254 data_time: 0.0418 memory: 21548 grad_norm: 4.4879 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8913 loss: 0.8913 2022/08/01 18:28:13 - mmengine - INFO - Epoch(train) [71][640/940] lr: 1.0000e-03 eta: 6:54:51 time: 0.7568 data_time: 0.0379 memory: 21548 grad_norm: 4.4379 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7175 loss: 0.7175 2022/08/01 18:28:30 - mmengine - INFO - Epoch(train) [71][660/940] lr: 1.0000e-03 eta: 6:54:32 time: 0.8616 data_time: 0.0338 memory: 21548 grad_norm: 4.5788 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8766 loss: 0.8766 2022/08/01 18:28:46 - mmengine - INFO - Epoch(train) [71][680/940] lr: 1.0000e-03 eta: 6:54:13 time: 0.7955 data_time: 0.0467 memory: 21548 grad_norm: 4.5385 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7630 loss: 0.7630 2022/08/01 18:29:05 - mmengine - INFO - Epoch(train) [71][700/940] lr: 1.0000e-03 eta: 6:53:55 time: 0.9319 data_time: 0.0372 memory: 21548 grad_norm: 4.5160 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8009 loss: 0.8009 2022/08/01 18:29:20 - mmengine - INFO - Epoch(train) [71][720/940] lr: 1.0000e-03 eta: 6:53:36 time: 0.7611 data_time: 0.0377 memory: 21548 grad_norm: 4.4411 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8375 loss: 0.8375 2022/08/01 18:29:39 - mmengine - INFO - Epoch(train) [71][740/940] lr: 1.0000e-03 eta: 6:53:19 time: 0.9537 data_time: 0.0341 memory: 21548 grad_norm: 4.4292 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7856 loss: 0.7856 2022/08/01 18:29:55 - mmengine - INFO - Epoch(train) [71][760/940] lr: 1.0000e-03 eta: 6:52:59 time: 0.7699 data_time: 0.0397 memory: 21548 grad_norm: 4.5744 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8689 loss: 0.8689 2022/08/01 18:30:14 - mmengine - INFO - Epoch(train) [71][780/940] lr: 1.0000e-03 eta: 6:52:42 time: 0.9819 data_time: 0.0335 memory: 21548 grad_norm: 4.4027 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8114 loss: 0.8114 2022/08/01 18:30:29 - mmengine - INFO - Epoch(train) [71][800/940] lr: 1.0000e-03 eta: 6:52:23 time: 0.7567 data_time: 0.0415 memory: 21548 grad_norm: 4.5410 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7651 loss: 0.7651 2022/08/01 18:30:49 - mmengine - INFO - Epoch(train) [71][820/940] lr: 1.0000e-03 eta: 6:52:05 time: 0.9854 data_time: 0.0344 memory: 21548 grad_norm: 4.3119 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8159 loss: 0.8159 2022/08/01 18:31:05 - mmengine - INFO - Epoch(train) [71][840/940] lr: 1.0000e-03 eta: 6:51:46 time: 0.7769 data_time: 0.0493 memory: 21548 grad_norm: 4.4238 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8093 loss: 0.8093 2022/08/01 18:31:22 - mmengine - INFO - Epoch(train) [71][860/940] lr: 1.0000e-03 eta: 6:51:28 time: 0.8887 data_time: 0.0348 memory: 21548 grad_norm: 4.5057 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7948 loss: 0.7948 2022/08/01 18:31:39 - mmengine - INFO - Epoch(train) [71][880/940] lr: 1.0000e-03 eta: 6:51:09 time: 0.8361 data_time: 0.0430 memory: 21548 grad_norm: 4.4565 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7696 loss: 0.7696 2022/08/01 18:31:59 - mmengine - INFO - Epoch(train) [71][900/940] lr: 1.0000e-03 eta: 6:50:52 time: 0.9855 data_time: 0.0313 memory: 21548 grad_norm: 4.3563 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8225 loss: 0.8225 2022/08/01 18:32:13 - mmengine - INFO - Epoch(train) [71][920/940] lr: 1.0000e-03 eta: 6:50:32 time: 0.7144 data_time: 0.0371 memory: 21548 grad_norm: 4.5143 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9156 loss: 0.9156 2022/08/01 18:32:28 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 18:32:28 - mmengine - INFO - Epoch(train) [71][940/940] lr: 1.0000e-03 eta: 6:50:13 time: 0.7340 data_time: 0.0295 memory: 21548 grad_norm: 4.8245 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8437 loss: 0.8437 2022/08/01 18:32:48 - mmengine - INFO - Epoch(val) [71][20/78] eta: 0:00:58 time: 1.0123 data_time: 0.8887 memory: 3271 2022/08/01 18:33:03 - mmengine - INFO - Epoch(val) [71][40/78] eta: 0:00:27 time: 0.7170 data_time: 0.5888 memory: 3271 2022/08/01 18:33:22 - mmengine - INFO - Epoch(val) [71][60/78] eta: 0:00:17 time: 0.9815 data_time: 0.8443 memory: 3271 2022/08/01 18:33:37 - mmengine - INFO - Epoch(val) [71][78/78] acc/top1: 0.7159 acc/top5: 0.8981 acc/mean1: 0.7157 2022/08/01 18:33:59 - mmengine - INFO - Epoch(train) [72][20/940] lr: 1.0000e-03 eta: 6:49:57 time: 1.1114 data_time: 0.5127 memory: 21548 grad_norm: 4.5366 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.8577 loss: 0.8577 2022/08/01 18:34:15 - mmengine - INFO - Epoch(train) [72][40/940] lr: 1.0000e-03 eta: 6:49:38 time: 0.8012 data_time: 0.1831 memory: 21548 grad_norm: 4.3946 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8153 loss: 0.8153 2022/08/01 18:34:34 - mmengine - INFO - Epoch(train) [72][60/940] lr: 1.0000e-03 eta: 6:49:20 time: 0.9618 data_time: 0.1598 memory: 21548 grad_norm: 4.4663 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7783 loss: 0.7783 2022/08/01 18:34:51 - mmengine - INFO - Epoch(train) [72][80/940] lr: 1.0000e-03 eta: 6:49:02 time: 0.8389 data_time: 0.0604 memory: 21548 grad_norm: 4.4211 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8049 loss: 0.8049 2022/08/01 18:35:09 - mmengine - INFO - Epoch(train) [72][100/940] lr: 1.0000e-03 eta: 6:48:44 time: 0.9223 data_time: 0.0366 memory: 21548 grad_norm: 4.3543 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7223 loss: 0.7223 2022/08/01 18:35:24 - mmengine - INFO - Epoch(train) [72][120/940] lr: 1.0000e-03 eta: 6:48:24 time: 0.7507 data_time: 0.0333 memory: 21548 grad_norm: 4.4230 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7193 loss: 0.7193 2022/08/01 18:35:44 - mmengine - INFO - Epoch(train) [72][140/940] lr: 1.0000e-03 eta: 6:48:07 time: 1.0003 data_time: 0.0368 memory: 21548 grad_norm: 4.3868 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7008 loss: 0.7008 2022/08/01 18:36:03 - mmengine - INFO - Epoch(train) [72][160/940] lr: 1.0000e-03 eta: 6:47:49 time: 0.9327 data_time: 0.0317 memory: 21548 grad_norm: 4.4854 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8080 loss: 0.8080 2022/08/01 18:36:31 - mmengine - INFO - Epoch(train) [72][180/940] lr: 1.0000e-03 eta: 6:47:35 time: 1.4123 data_time: 0.0275 memory: 21548 grad_norm: 4.5305 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7720 loss: 0.7720 2022/08/01 18:36:47 - mmengine - INFO - Epoch(train) [72][200/940] lr: 1.0000e-03 eta: 6:47:16 time: 0.7718 data_time: 0.1134 memory: 21548 grad_norm: 4.3551 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7778 loss: 0.7778 2022/08/01 18:37:05 - mmengine - INFO - Epoch(train) [72][220/940] lr: 1.0000e-03 eta: 6:46:58 time: 0.8913 data_time: 0.1272 memory: 21548 grad_norm: 4.4528 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8514 loss: 0.8514 2022/08/01 18:37:20 - mmengine - INFO - Epoch(train) [72][240/940] lr: 1.0000e-03 eta: 6:46:39 time: 0.7734 data_time: 0.0407 memory: 21548 grad_norm: 4.3601 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8070 loss: 0.8070 2022/08/01 18:37:38 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 18:37:38 - mmengine - INFO - Epoch(train) [72][260/940] lr: 1.0000e-03 eta: 6:46:21 time: 0.8950 data_time: 0.1144 memory: 21548 grad_norm: 4.4364 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7719 loss: 0.7719 2022/08/01 18:37:54 - mmengine - INFO - Epoch(train) [72][280/940] lr: 1.0000e-03 eta: 6:46:02 time: 0.8167 data_time: 0.1256 memory: 21548 grad_norm: 4.3663 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8091 loss: 0.8091 2022/08/01 18:38:13 - mmengine - INFO - Epoch(train) [72][300/940] lr: 1.0000e-03 eta: 6:45:44 time: 0.9070 data_time: 0.1382 memory: 21548 grad_norm: 4.5108 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9525 loss: 0.9525 2022/08/01 18:38:30 - mmengine - INFO - Epoch(train) [72][320/940] lr: 1.0000e-03 eta: 6:45:26 time: 0.8904 data_time: 0.3046 memory: 21548 grad_norm: 4.4495 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8467 loss: 0.8467 2022/08/01 18:38:48 - mmengine - INFO - Epoch(train) [72][340/940] lr: 1.0000e-03 eta: 6:45:08 time: 0.8740 data_time: 0.1723 memory: 21548 grad_norm: 4.4365 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8603 loss: 0.8603 2022/08/01 18:39:05 - mmengine - INFO - Epoch(train) [72][360/940] lr: 1.0000e-03 eta: 6:44:49 time: 0.8349 data_time: 0.1462 memory: 21548 grad_norm: 4.3808 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7867 loss: 0.7867 2022/08/01 18:39:23 - mmengine - INFO - Epoch(train) [72][380/940] lr: 1.0000e-03 eta: 6:44:31 time: 0.9056 data_time: 0.0274 memory: 21548 grad_norm: 4.4925 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7680 loss: 0.7680 2022/08/01 18:39:38 - mmengine - INFO - Epoch(train) [72][400/940] lr: 1.0000e-03 eta: 6:44:12 time: 0.7524 data_time: 0.0508 memory: 21548 grad_norm: 4.2869 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.7011 loss: 0.7011 2022/08/01 18:39:56 - mmengine - INFO - Epoch(train) [72][420/940] lr: 1.0000e-03 eta: 6:43:54 time: 0.9286 data_time: 0.0645 memory: 21548 grad_norm: 4.4565 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7960 loss: 0.7960 2022/08/01 18:40:12 - mmengine - INFO - Epoch(train) [72][440/940] lr: 1.0000e-03 eta: 6:43:35 time: 0.7739 data_time: 0.0865 memory: 21548 grad_norm: 4.4177 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7533 loss: 0.7533 2022/08/01 18:40:29 - mmengine - INFO - Epoch(train) [72][460/940] lr: 1.0000e-03 eta: 6:43:16 time: 0.8621 data_time: 0.1343 memory: 21548 grad_norm: 4.4813 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7801 loss: 0.7801 2022/08/01 18:40:47 - mmengine - INFO - Epoch(train) [72][480/940] lr: 1.0000e-03 eta: 6:42:58 time: 0.8804 data_time: 0.1682 memory: 21548 grad_norm: 4.4862 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7934 loss: 0.7934 2022/08/01 18:41:04 - mmengine - INFO - Epoch(train) [72][500/940] lr: 1.0000e-03 eta: 6:42:40 time: 0.8762 data_time: 0.0591 memory: 21548 grad_norm: 4.2899 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7454 loss: 0.7454 2022/08/01 18:41:20 - mmengine - INFO - Epoch(train) [72][520/940] lr: 1.0000e-03 eta: 6:42:21 time: 0.8096 data_time: 0.1356 memory: 21548 grad_norm: 4.5457 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8543 loss: 0.8543 2022/08/01 18:41:38 - mmengine - INFO - Epoch(train) [72][540/940] lr: 1.0000e-03 eta: 6:42:03 time: 0.8880 data_time: 0.0327 memory: 21548 grad_norm: 4.4160 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7565 loss: 0.7565 2022/08/01 18:41:54 - mmengine - INFO - Epoch(train) [72][560/940] lr: 1.0000e-03 eta: 6:41:44 time: 0.8124 data_time: 0.0394 memory: 21548 grad_norm: 4.4588 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8413 loss: 0.8413 2022/08/01 18:42:12 - mmengine - INFO - Epoch(train) [72][580/940] lr: 1.0000e-03 eta: 6:41:26 time: 0.8959 data_time: 0.0502 memory: 21548 grad_norm: 4.4358 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6988 loss: 0.6988 2022/08/01 18:42:28 - mmengine - INFO - Epoch(train) [72][600/940] lr: 1.0000e-03 eta: 6:41:07 time: 0.7861 data_time: 0.0361 memory: 21548 grad_norm: 4.4715 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6876 loss: 0.6876 2022/08/01 18:42:46 - mmengine - INFO - Epoch(train) [72][620/940] lr: 1.0000e-03 eta: 6:40:49 time: 0.9061 data_time: 0.0346 memory: 21548 grad_norm: 4.5243 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9259 loss: 0.9259 2022/08/01 18:43:03 - mmengine - INFO - Epoch(train) [72][640/940] lr: 1.0000e-03 eta: 6:40:31 time: 0.8542 data_time: 0.0333 memory: 21548 grad_norm: 4.5043 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8198 loss: 0.8198 2022/08/01 18:43:21 - mmengine - INFO - Epoch(train) [72][660/940] lr: 1.0000e-03 eta: 6:40:12 time: 0.8653 data_time: 0.0412 memory: 21548 grad_norm: 4.4173 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7013 loss: 0.7013 2022/08/01 18:43:37 - mmengine - INFO - Epoch(train) [72][680/940] lr: 1.0000e-03 eta: 6:39:54 time: 0.8325 data_time: 0.0547 memory: 21548 grad_norm: 4.4236 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7645 loss: 0.7645 2022/08/01 18:43:55 - mmengine - INFO - Epoch(train) [72][700/940] lr: 1.0000e-03 eta: 6:39:35 time: 0.8798 data_time: 0.0680 memory: 21548 grad_norm: 4.4654 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7018 loss: 0.7018 2022/08/01 18:44:12 - mmengine - INFO - Epoch(train) [72][720/940] lr: 1.0000e-03 eta: 6:39:17 time: 0.8376 data_time: 0.0972 memory: 21548 grad_norm: 4.3982 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7610 loss: 0.7610 2022/08/01 18:44:29 - mmengine - INFO - Epoch(train) [72][740/940] lr: 1.0000e-03 eta: 6:38:59 time: 0.8718 data_time: 0.1528 memory: 21548 grad_norm: 4.4986 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7547 loss: 0.7547 2022/08/01 18:44:46 - mmengine - INFO - Epoch(train) [72][760/940] lr: 1.0000e-03 eta: 6:38:40 time: 0.8250 data_time: 0.1558 memory: 21548 grad_norm: 4.5981 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8924 loss: 0.8924 2022/08/01 18:45:05 - mmengine - INFO - Epoch(train) [72][780/940] lr: 1.0000e-03 eta: 6:38:23 time: 0.9935 data_time: 0.0749 memory: 21548 grad_norm: 4.5636 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9066 loss: 0.9066 2022/08/01 18:45:20 - mmengine - INFO - Epoch(train) [72][800/940] lr: 1.0000e-03 eta: 6:38:03 time: 0.7352 data_time: 0.0317 memory: 21548 grad_norm: 4.3872 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.8895 loss: 0.8895 2022/08/01 18:45:39 - mmengine - INFO - Epoch(train) [72][820/940] lr: 1.0000e-03 eta: 6:37:45 time: 0.9426 data_time: 0.0620 memory: 21548 grad_norm: 4.4504 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7399 loss: 0.7399 2022/08/01 18:45:56 - mmengine - INFO - Epoch(train) [72][840/940] lr: 1.0000e-03 eta: 6:37:27 time: 0.8343 data_time: 0.0336 memory: 21548 grad_norm: 4.2873 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7230 loss: 0.7230 2022/08/01 18:46:14 - mmengine - INFO - Epoch(train) [72][860/940] lr: 1.0000e-03 eta: 6:37:09 time: 0.9209 data_time: 0.0336 memory: 21548 grad_norm: 4.3485 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7845 loss: 0.7845 2022/08/01 18:46:30 - mmengine - INFO - Epoch(train) [72][880/940] lr: 1.0000e-03 eta: 6:36:50 time: 0.7763 data_time: 0.0336 memory: 21548 grad_norm: 4.4985 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7518 loss: 0.7518 2022/08/01 18:46:49 - mmengine - INFO - Epoch(train) [72][900/940] lr: 1.0000e-03 eta: 6:36:32 time: 0.9510 data_time: 0.0526 memory: 21548 grad_norm: 4.4345 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7786 loss: 0.7786 2022/08/01 18:47:03 - mmengine - INFO - Epoch(train) [72][920/940] lr: 1.0000e-03 eta: 6:36:13 time: 0.7255 data_time: 0.0352 memory: 21548 grad_norm: 4.5523 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9094 loss: 0.9094 2022/08/01 18:47:19 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 18:47:19 - mmengine - INFO - Epoch(train) [72][940/940] lr: 1.0000e-03 eta: 6:35:54 time: 0.8086 data_time: 0.0280 memory: 21548 grad_norm: 4.9703 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.9571 loss: 0.9571 2022/08/01 18:47:19 - mmengine - INFO - Saving checkpoint at 72 epochs 2022/08/01 18:47:41 - mmengine - INFO - Epoch(val) [72][20/78] eta: 0:00:59 time: 1.0319 data_time: 0.9082 memory: 3271 2022/08/01 18:47:56 - mmengine - INFO - Epoch(val) [72][40/78] eta: 0:00:27 time: 0.7195 data_time: 0.5971 memory: 3271 2022/08/01 18:48:15 - mmengine - INFO - Epoch(val) [72][60/78] eta: 0:00:16 time: 0.9384 data_time: 0.8146 memory: 3271 2022/08/01 18:48:29 - mmengine - INFO - Epoch(val) [72][78/78] acc/top1: 0.7107 acc/top5: 0.8958 acc/mean1: 0.7106 2022/08/01 18:48:52 - mmengine - INFO - Epoch(train) [73][20/940] lr: 1.0000e-03 eta: 6:35:38 time: 1.1616 data_time: 0.6330 memory: 21548 grad_norm: 4.4570 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7551 loss: 0.7551 2022/08/01 18:49:07 - mmengine - INFO - Epoch(train) [73][40/940] lr: 1.0000e-03 eta: 6:35:19 time: 0.7608 data_time: 0.1377 memory: 21548 grad_norm: 4.5142 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7173 loss: 0.7173 2022/08/01 18:49:26 - mmengine - INFO - Epoch(train) [73][60/940] lr: 1.0000e-03 eta: 6:35:01 time: 0.9421 data_time: 0.2067 memory: 21548 grad_norm: 4.4514 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7993 loss: 0.7993 2022/08/01 18:49:41 - mmengine - INFO - Epoch(train) [73][80/940] lr: 1.0000e-03 eta: 6:34:42 time: 0.7567 data_time: 0.1578 memory: 21548 grad_norm: 4.4527 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7995 loss: 0.7995 2022/08/01 18:50:01 - mmengine - INFO - Epoch(train) [73][100/940] lr: 1.0000e-03 eta: 6:34:24 time: 0.9761 data_time: 0.2097 memory: 21548 grad_norm: 4.3617 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8641 loss: 0.8641 2022/08/01 18:50:17 - mmengine - INFO - Epoch(train) [73][120/940] lr: 1.0000e-03 eta: 6:34:06 time: 0.8167 data_time: 0.0474 memory: 21548 grad_norm: 4.4782 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7920 loss: 0.7920 2022/08/01 18:50:37 - mmengine - INFO - Epoch(train) [73][140/940] lr: 1.0000e-03 eta: 6:33:48 time: 0.9822 data_time: 0.1009 memory: 21548 grad_norm: 4.4489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7861 loss: 0.7861 2022/08/01 18:50:51 - mmengine - INFO - Epoch(train) [73][160/940] lr: 1.0000e-03 eta: 6:33:29 time: 0.7276 data_time: 0.0460 memory: 21548 grad_norm: 4.4605 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7586 loss: 0.7586 2022/08/01 18:51:10 - mmengine - INFO - Epoch(train) [73][180/940] lr: 1.0000e-03 eta: 6:33:11 time: 0.9238 data_time: 0.1033 memory: 21548 grad_norm: 4.4445 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7997 loss: 0.7997 2022/08/01 18:51:25 - mmengine - INFO - Epoch(train) [73][200/940] lr: 1.0000e-03 eta: 6:32:52 time: 0.7520 data_time: 0.1716 memory: 21548 grad_norm: 4.3972 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8401 loss: 0.8401 2022/08/01 18:51:45 - mmengine - INFO - Epoch(train) [73][220/940] lr: 1.0000e-03 eta: 6:32:34 time: 0.9956 data_time: 0.1554 memory: 21548 grad_norm: 4.4776 top1_acc: 0.9062 top5_acc: 0.9062 loss_cls: 0.8341 loss: 0.8341 2022/08/01 18:52:01 - mmengine - INFO - Epoch(train) [73][240/940] lr: 1.0000e-03 eta: 6:32:15 time: 0.7842 data_time: 0.0307 memory: 21548 grad_norm: 4.4949 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.7889 loss: 0.7889 2022/08/01 18:52:19 - mmengine - INFO - Epoch(train) [73][260/940] lr: 1.0000e-03 eta: 6:31:57 time: 0.9084 data_time: 0.0374 memory: 21548 grad_norm: 4.4068 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7872 loss: 0.7872 2022/08/01 18:52:35 - mmengine - INFO - Epoch(train) [73][280/940] lr: 1.0000e-03 eta: 6:31:39 time: 0.7859 data_time: 0.0412 memory: 21548 grad_norm: 4.6092 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7217 loss: 0.7217 2022/08/01 18:52:52 - mmengine - INFO - Epoch(train) [73][300/940] lr: 1.0000e-03 eta: 6:31:20 time: 0.8981 data_time: 0.0452 memory: 21548 grad_norm: 4.4572 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7958 loss: 0.7958 2022/08/01 18:53:08 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 18:53:08 - mmengine - INFO - Epoch(train) [73][320/940] lr: 1.0000e-03 eta: 6:31:02 time: 0.8013 data_time: 0.0307 memory: 21548 grad_norm: 4.4279 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7067 loss: 0.7067 2022/08/01 18:53:29 - mmengine - INFO - Epoch(train) [73][340/940] lr: 1.0000e-03 eta: 6:30:45 time: 1.0295 data_time: 0.0306 memory: 21548 grad_norm: 4.4966 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7613 loss: 0.7613 2022/08/01 18:53:52 - mmengine - INFO - Epoch(train) [73][360/940] lr: 1.0000e-03 eta: 6:30:28 time: 1.1640 data_time: 0.0389 memory: 21548 grad_norm: 4.4340 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7696 loss: 0.7696 2022/08/01 18:54:21 - mmengine - INFO - Epoch(train) [73][380/940] lr: 1.0000e-03 eta: 6:30:14 time: 1.4251 data_time: 0.0350 memory: 21548 grad_norm: 4.4133 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7624 loss: 0.7624 2022/08/01 18:54:45 - mmengine - INFO - Epoch(train) [73][400/940] lr: 1.0000e-03 eta: 6:29:59 time: 1.2202 data_time: 0.0330 memory: 21548 grad_norm: 4.4016 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7816 loss: 0.7816 2022/08/01 18:55:01 - mmengine - INFO - Epoch(train) [73][420/940] lr: 1.0000e-03 eta: 6:29:40 time: 0.7632 data_time: 0.0391 memory: 21548 grad_norm: 4.4691 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7806 loss: 0.7806 2022/08/01 18:55:19 - mmengine - INFO - Epoch(train) [73][440/940] lr: 1.0000e-03 eta: 6:29:22 time: 0.9079 data_time: 0.0348 memory: 21548 grad_norm: 4.4174 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7728 loss: 0.7728 2022/08/01 18:55:36 - mmengine - INFO - Epoch(train) [73][460/940] lr: 1.0000e-03 eta: 6:29:03 time: 0.8743 data_time: 0.0406 memory: 21548 grad_norm: 4.4921 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.7171 loss: 0.7171 2022/08/01 18:55:53 - mmengine - INFO - Epoch(train) [73][480/940] lr: 1.0000e-03 eta: 6:28:45 time: 0.8312 data_time: 0.0397 memory: 21548 grad_norm: 4.5067 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8411 loss: 0.8411 2022/08/01 18:56:09 - mmengine - INFO - Epoch(train) [73][500/940] lr: 1.0000e-03 eta: 6:28:26 time: 0.8287 data_time: 0.0316 memory: 21548 grad_norm: 4.5490 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7795 loss: 0.7795 2022/08/01 18:56:28 - mmengine - INFO - Epoch(train) [73][520/940] lr: 1.0000e-03 eta: 6:28:08 time: 0.9396 data_time: 0.0423 memory: 21548 grad_norm: 4.4023 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7796 loss: 0.7796 2022/08/01 18:56:44 - mmengine - INFO - Epoch(train) [73][540/940] lr: 1.0000e-03 eta: 6:27:49 time: 0.7668 data_time: 0.0356 memory: 21548 grad_norm: 4.5129 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8185 loss: 0.8185 2022/08/01 18:57:02 - mmengine - INFO - Epoch(train) [73][560/940] lr: 1.0000e-03 eta: 6:27:32 time: 0.9390 data_time: 0.0333 memory: 21548 grad_norm: 4.5432 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8300 loss: 0.8300 2022/08/01 18:57:19 - mmengine - INFO - Epoch(train) [73][580/940] lr: 1.0000e-03 eta: 6:27:13 time: 0.8248 data_time: 0.0461 memory: 21548 grad_norm: 4.4972 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6979 loss: 0.6979 2022/08/01 18:57:38 - mmengine - INFO - Epoch(train) [73][600/940] lr: 1.0000e-03 eta: 6:26:55 time: 0.9377 data_time: 0.0344 memory: 21548 grad_norm: 4.3813 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7434 loss: 0.7434 2022/08/01 18:57:54 - mmengine - INFO - Epoch(train) [73][620/940] lr: 1.0000e-03 eta: 6:26:37 time: 0.8450 data_time: 0.0381 memory: 21548 grad_norm: 4.5136 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7740 loss: 0.7740 2022/08/01 18:58:13 - mmengine - INFO - Epoch(train) [73][640/940] lr: 1.0000e-03 eta: 6:26:19 time: 0.9479 data_time: 0.0333 memory: 21548 grad_norm: 4.4940 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7791 loss: 0.7791 2022/08/01 18:58:31 - mmengine - INFO - Epoch(train) [73][660/940] lr: 1.0000e-03 eta: 6:26:00 time: 0.8552 data_time: 0.0332 memory: 21548 grad_norm: 4.4868 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6502 loss: 0.6502 2022/08/01 18:58:45 - mmengine - INFO - Epoch(train) [73][680/940] lr: 1.0000e-03 eta: 6:25:41 time: 0.7439 data_time: 0.0367 memory: 21548 grad_norm: 4.4336 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.6844 loss: 0.6844 2022/08/01 18:59:04 - mmengine - INFO - Epoch(train) [73][700/940] lr: 1.0000e-03 eta: 6:25:23 time: 0.9085 data_time: 0.0405 memory: 21548 grad_norm: 4.5083 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.8020 loss: 0.8020 2022/08/01 18:59:20 - mmengine - INFO - Epoch(train) [73][720/940] lr: 1.0000e-03 eta: 6:25:05 time: 0.8221 data_time: 0.0356 memory: 21548 grad_norm: 4.4612 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8765 loss: 0.8765 2022/08/01 18:59:38 - mmengine - INFO - Epoch(train) [73][740/940] lr: 1.0000e-03 eta: 6:24:47 time: 0.9030 data_time: 0.0412 memory: 21548 grad_norm: 4.4109 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7686 loss: 0.7686 2022/08/01 18:59:54 - mmengine - INFO - Epoch(train) [73][760/940] lr: 1.0000e-03 eta: 6:24:28 time: 0.8003 data_time: 0.0370 memory: 21548 grad_norm: 4.4992 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7592 loss: 0.7592 2022/08/01 19:00:13 - mmengine - INFO - Epoch(train) [73][780/940] lr: 1.0000e-03 eta: 6:24:10 time: 0.9170 data_time: 0.0392 memory: 21548 grad_norm: 4.3875 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7086 loss: 0.7086 2022/08/01 19:00:28 - mmengine - INFO - Epoch(train) [73][800/940] lr: 1.0000e-03 eta: 6:23:51 time: 0.7832 data_time: 0.0377 memory: 21548 grad_norm: 4.3805 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.6980 loss: 0.6980 2022/08/01 19:00:48 - mmengine - INFO - Epoch(train) [73][820/940] lr: 1.0000e-03 eta: 6:23:33 time: 0.9717 data_time: 0.0523 memory: 21548 grad_norm: 4.5108 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7728 loss: 0.7728 2022/08/01 19:01:04 - mmengine - INFO - Epoch(train) [73][840/940] lr: 1.0000e-03 eta: 6:23:15 time: 0.8184 data_time: 0.0348 memory: 21548 grad_norm: 4.4740 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7249 loss: 0.7249 2022/08/01 19:01:22 - mmengine - INFO - Epoch(train) [73][860/940] lr: 1.0000e-03 eta: 6:22:57 time: 0.8921 data_time: 0.0338 memory: 21548 grad_norm: 4.3898 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7772 loss: 0.7772 2022/08/01 19:01:38 - mmengine - INFO - Epoch(train) [73][880/940] lr: 1.0000e-03 eta: 6:22:38 time: 0.8186 data_time: 0.0361 memory: 21548 grad_norm: 4.3663 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.7463 loss: 0.7463 2022/08/01 19:01:57 - mmengine - INFO - Epoch(train) [73][900/940] lr: 1.0000e-03 eta: 6:22:20 time: 0.9336 data_time: 0.0352 memory: 21548 grad_norm: 4.5320 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8153 loss: 0.8153 2022/08/01 19:02:12 - mmengine - INFO - Epoch(train) [73][920/940] lr: 1.0000e-03 eta: 6:22:01 time: 0.7778 data_time: 0.0442 memory: 21548 grad_norm: 4.5464 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 0.8691 loss: 0.8691 2022/08/01 19:02:29 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 19:02:29 - mmengine - INFO - Epoch(train) [73][940/940] lr: 1.0000e-03 eta: 6:21:42 time: 0.8067 data_time: 0.0277 memory: 21548 grad_norm: 4.9378 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 0.9694 loss: 0.9694 2022/08/01 19:02:49 - mmengine - INFO - Epoch(val) [73][20/78] eta: 0:00:58 time: 1.0098 data_time: 0.8813 memory: 3271 2022/08/01 19:03:03 - mmengine - INFO - Epoch(val) [73][40/78] eta: 0:00:26 time: 0.7083 data_time: 0.5882 memory: 3271 2022/08/01 19:03:22 - mmengine - INFO - Epoch(val) [73][60/78] eta: 0:00:17 time: 0.9481 data_time: 0.8245 memory: 3271 2022/08/01 19:03:37 - mmengine - INFO - Epoch(val) [73][78/78] acc/top1: 0.7167 acc/top5: 0.8979 acc/mean1: 0.7166 2022/08/01 19:04:01 - mmengine - INFO - Epoch(train) [74][20/940] lr: 1.0000e-03 eta: 6:21:26 time: 1.1625 data_time: 0.6100 memory: 21548 grad_norm: 4.3709 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7112 loss: 0.7112 2022/08/01 19:04:16 - mmengine - INFO - Epoch(train) [74][40/940] lr: 1.0000e-03 eta: 6:21:07 time: 0.7581 data_time: 0.1442 memory: 21548 grad_norm: 4.5916 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8559 loss: 0.8559 2022/08/01 19:04:34 - mmengine - INFO - Epoch(train) [74][60/940] lr: 1.0000e-03 eta: 6:20:49 time: 0.9326 data_time: 0.2180 memory: 21548 grad_norm: 4.4891 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7877 loss: 0.7877 2022/08/01 19:04:49 - mmengine - INFO - Epoch(train) [74][80/940] lr: 1.0000e-03 eta: 6:20:30 time: 0.7567 data_time: 0.1271 memory: 21548 grad_norm: 4.4219 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8133 loss: 0.8133 2022/08/01 19:05:09 - mmengine - INFO - Epoch(train) [74][100/940] lr: 1.0000e-03 eta: 6:20:12 time: 0.9560 data_time: 0.2509 memory: 21548 grad_norm: 4.4747 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8463 loss: 0.8463 2022/08/01 19:05:24 - mmengine - INFO - Epoch(train) [74][120/940] lr: 1.0000e-03 eta: 6:19:53 time: 0.7459 data_time: 0.0770 memory: 21548 grad_norm: 4.4205 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 0.7977 loss: 0.7977 2022/08/01 19:05:43 - mmengine - INFO - Epoch(train) [74][140/940] lr: 1.0000e-03 eta: 6:19:36 time: 0.9655 data_time: 0.0894 memory: 21548 grad_norm: 4.4764 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.8347 loss: 0.8347 2022/08/01 19:05:59 - mmengine - INFO - Epoch(train) [74][160/940] lr: 1.0000e-03 eta: 6:19:17 time: 0.8136 data_time: 0.0319 memory: 21548 grad_norm: 4.3426 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7936 loss: 0.7936 2022/08/01 19:06:18 - mmengine - INFO - Epoch(train) [74][180/940] lr: 1.0000e-03 eta: 6:18:59 time: 0.9212 data_time: 0.0391 memory: 21548 grad_norm: 4.4179 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8161 loss: 0.8161 2022/08/01 19:06:33 - mmengine - INFO - Epoch(train) [74][200/940] lr: 1.0000e-03 eta: 6:18:40 time: 0.7922 data_time: 0.0830 memory: 21548 grad_norm: 4.4056 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.6732 loss: 0.6732 2022/08/01 19:06:53 - mmengine - INFO - Epoch(train) [74][220/940] lr: 1.0000e-03 eta: 6:18:23 time: 0.9752 data_time: 0.2382 memory: 21548 grad_norm: 4.4398 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7643 loss: 0.7643 2022/08/01 19:07:08 - mmengine - INFO - Epoch(train) [74][240/940] lr: 1.0000e-03 eta: 6:18:04 time: 0.7513 data_time: 0.0452 memory: 21548 grad_norm: 4.4604 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7653 loss: 0.7653 2022/08/01 19:07:27 - mmengine - INFO - Epoch(train) [74][260/940] lr: 1.0000e-03 eta: 6:17:46 time: 0.9774 data_time: 0.0824 memory: 21548 grad_norm: 4.4672 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7684 loss: 0.7684 2022/08/01 19:07:42 - mmengine - INFO - Epoch(train) [74][280/940] lr: 1.0000e-03 eta: 6:17:27 time: 0.7194 data_time: 0.0640 memory: 21548 grad_norm: 4.3538 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6975 loss: 0.6975 2022/08/01 19:08:03 - mmengine - INFO - Epoch(train) [74][300/940] lr: 1.0000e-03 eta: 6:17:10 time: 1.0494 data_time: 0.0959 memory: 21548 grad_norm: 4.4233 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7406 loss: 0.7406 2022/08/01 19:08:17 - mmengine - INFO - Epoch(train) [74][320/940] lr: 1.0000e-03 eta: 6:16:50 time: 0.7180 data_time: 0.0313 memory: 21548 grad_norm: 4.6231 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7811 loss: 0.7811 2022/08/01 19:08:36 - mmengine - INFO - Epoch(train) [74][340/940] lr: 1.0000e-03 eta: 6:16:32 time: 0.9153 data_time: 0.0569 memory: 21548 grad_norm: 4.5604 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8511 loss: 0.8511 2022/08/01 19:08:51 - mmengine - INFO - Epoch(train) [74][360/940] lr: 1.0000e-03 eta: 6:16:13 time: 0.7733 data_time: 0.0414 memory: 21548 grad_norm: 4.5015 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8598 loss: 0.8598 2022/08/01 19:09:09 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 19:09:09 - mmengine - INFO - Epoch(train) [74][380/940] lr: 1.0000e-03 eta: 6:15:55 time: 0.8777 data_time: 0.0400 memory: 21548 grad_norm: 4.5222 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6957 loss: 0.6957 2022/08/01 19:09:25 - mmengine - INFO - Epoch(train) [74][400/940] lr: 1.0000e-03 eta: 6:15:37 time: 0.8275 data_time: 0.0314 memory: 21548 grad_norm: 4.5052 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8458 loss: 0.8458 2022/08/01 19:09:44 - mmengine - INFO - Epoch(train) [74][420/940] lr: 1.0000e-03 eta: 6:15:19 time: 0.9467 data_time: 0.0403 memory: 21548 grad_norm: 4.4880 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7483 loss: 0.7483 2022/08/01 19:09:59 - mmengine - INFO - Epoch(train) [74][440/940] lr: 1.0000e-03 eta: 6:15:00 time: 0.7627 data_time: 0.0292 memory: 21548 grad_norm: 4.5146 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.8791 loss: 0.8791 2022/08/01 19:10:17 - mmengine - INFO - Epoch(train) [74][460/940] lr: 1.0000e-03 eta: 6:14:42 time: 0.8790 data_time: 0.1428 memory: 21548 grad_norm: 4.5703 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8583 loss: 0.8583 2022/08/01 19:10:34 - mmengine - INFO - Epoch(train) [74][480/940] lr: 1.0000e-03 eta: 6:14:23 time: 0.8396 data_time: 0.2350 memory: 21548 grad_norm: 4.4045 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7773 loss: 0.7773 2022/08/01 19:10:51 - mmengine - INFO - Epoch(train) [74][500/940] lr: 1.0000e-03 eta: 6:14:05 time: 0.8522 data_time: 0.2692 memory: 21548 grad_norm: 4.6298 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7873 loss: 0.7873 2022/08/01 19:11:08 - mmengine - INFO - Epoch(train) [74][520/940] lr: 1.0000e-03 eta: 6:13:46 time: 0.8747 data_time: 0.1675 memory: 21548 grad_norm: 4.5801 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8283 loss: 0.8283 2022/08/01 19:11:26 - mmengine - INFO - Epoch(train) [74][540/940] lr: 1.0000e-03 eta: 6:13:28 time: 0.8674 data_time: 0.4197 memory: 21548 grad_norm: 4.4358 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7912 loss: 0.7912 2022/08/01 19:11:42 - mmengine - INFO - Epoch(train) [74][560/940] lr: 1.0000e-03 eta: 6:13:09 time: 0.7962 data_time: 0.2989 memory: 21548 grad_norm: 4.5688 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8360 loss: 0.8360 2022/08/01 19:12:00 - mmengine - INFO - Epoch(train) [74][580/940] lr: 1.0000e-03 eta: 6:12:52 time: 0.9447 data_time: 0.5023 memory: 21548 grad_norm: 4.5829 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7259 loss: 0.7259 2022/08/01 19:12:16 - mmengine - INFO - Epoch(train) [74][600/940] lr: 1.0000e-03 eta: 6:12:33 time: 0.7997 data_time: 0.3534 memory: 21548 grad_norm: 4.4384 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7152 loss: 0.7152 2022/08/01 19:12:41 - mmengine - INFO - Epoch(train) [74][620/940] lr: 1.0000e-03 eta: 6:12:17 time: 1.2141 data_time: 0.2961 memory: 21548 grad_norm: 4.4398 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8455 loss: 0.8455 2022/08/01 19:12:57 - mmengine - INFO - Epoch(train) [74][640/940] lr: 1.0000e-03 eta: 6:11:58 time: 0.8034 data_time: 0.0270 memory: 21548 grad_norm: 4.5094 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7790 loss: 0.7790 2022/08/01 19:13:20 - mmengine - INFO - Epoch(train) [74][660/940] lr: 1.0000e-03 eta: 6:11:42 time: 1.1481 data_time: 0.0376 memory: 21548 grad_norm: 4.5388 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7836 loss: 0.7836 2022/08/01 19:13:35 - mmengine - INFO - Epoch(train) [74][680/940] lr: 1.0000e-03 eta: 6:11:23 time: 0.7800 data_time: 0.0326 memory: 21548 grad_norm: 4.4448 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8205 loss: 0.8205 2022/08/01 19:13:53 - mmengine - INFO - Epoch(train) [74][700/940] lr: 1.0000e-03 eta: 6:11:05 time: 0.9035 data_time: 0.0360 memory: 21548 grad_norm: 4.6559 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7958 loss: 0.7958 2022/08/01 19:14:10 - mmengine - INFO - Epoch(train) [74][720/940] lr: 1.0000e-03 eta: 6:10:46 time: 0.8316 data_time: 0.0341 memory: 21548 grad_norm: 4.6901 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7413 loss: 0.7413 2022/08/01 19:14:28 - mmengine - INFO - Epoch(train) [74][740/940] lr: 1.0000e-03 eta: 6:10:28 time: 0.8898 data_time: 0.0360 memory: 21548 grad_norm: 4.4187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7198 loss: 0.7198 2022/08/01 19:14:43 - mmengine - INFO - Epoch(train) [74][760/940] lr: 1.0000e-03 eta: 6:10:09 time: 0.7532 data_time: 0.0345 memory: 21548 grad_norm: 4.4476 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7389 loss: 0.7389 2022/08/01 19:15:02 - mmengine - INFO - Epoch(train) [74][780/940] lr: 1.0000e-03 eta: 6:09:52 time: 0.9415 data_time: 0.0396 memory: 21548 grad_norm: 4.5524 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7754 loss: 0.7754 2022/08/01 19:15:18 - mmengine - INFO - Epoch(train) [74][800/940] lr: 1.0000e-03 eta: 6:09:33 time: 0.7849 data_time: 0.0495 memory: 21548 grad_norm: 4.5682 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8122 loss: 0.8122 2022/08/01 19:15:36 - mmengine - INFO - Epoch(train) [74][820/940] lr: 1.0000e-03 eta: 6:09:15 time: 0.9296 data_time: 0.0375 memory: 21548 grad_norm: 4.5693 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7690 loss: 0.7690 2022/08/01 19:15:52 - mmengine - INFO - Epoch(train) [74][840/940] lr: 1.0000e-03 eta: 6:08:56 time: 0.7982 data_time: 0.0326 memory: 21548 grad_norm: 4.5715 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7949 loss: 0.7949 2022/08/01 19:16:12 - mmengine - INFO - Epoch(train) [74][860/940] lr: 1.0000e-03 eta: 6:08:39 time: 0.9789 data_time: 0.0407 memory: 21548 grad_norm: 4.4972 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7619 loss: 0.7619 2022/08/01 19:16:27 - mmengine - INFO - Epoch(train) [74][880/940] lr: 1.0000e-03 eta: 6:08:20 time: 0.7700 data_time: 0.0379 memory: 21548 grad_norm: 4.4777 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6979 loss: 0.6979 2022/08/01 19:16:46 - mmengine - INFO - Epoch(train) [74][900/940] lr: 1.0000e-03 eta: 6:08:02 time: 0.9285 data_time: 0.0388 memory: 21548 grad_norm: 4.4801 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8324 loss: 0.8324 2022/08/01 19:17:00 - mmengine - INFO - Epoch(train) [74][920/940] lr: 1.0000e-03 eta: 6:07:42 time: 0.7382 data_time: 0.0333 memory: 21548 grad_norm: 4.4970 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.8154 loss: 0.8154 2022/08/01 19:17:16 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 19:17:16 - mmengine - INFO - Epoch(train) [74][940/940] lr: 1.0000e-03 eta: 6:07:23 time: 0.7623 data_time: 0.0437 memory: 21548 grad_norm: 4.9158 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.7252 loss: 0.7252 2022/08/01 19:17:36 - mmengine - INFO - Epoch(val) [74][20/78] eta: 0:00:58 time: 1.0167 data_time: 0.8942 memory: 3271 2022/08/01 19:17:52 - mmengine - INFO - Epoch(val) [74][40/78] eta: 0:00:29 time: 0.7824 data_time: 0.6502 memory: 3271 2022/08/01 19:18:10 - mmengine - INFO - Epoch(val) [74][60/78] eta: 0:00:16 time: 0.8926 data_time: 0.7603 memory: 3271 2022/08/01 19:18:24 - mmengine - INFO - Epoch(val) [74][78/78] acc/top1: 0.7139 acc/top5: 0.8984 acc/mean1: 0.7138 2022/08/01 19:18:46 - mmengine - INFO - Epoch(train) [75][20/940] lr: 1.0000e-03 eta: 6:07:07 time: 1.0990 data_time: 0.6061 memory: 21548 grad_norm: 4.4340 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7556 loss: 0.7556 2022/08/01 19:19:02 - mmengine - INFO - Epoch(train) [75][40/940] lr: 1.0000e-03 eta: 6:06:48 time: 0.7799 data_time: 0.2123 memory: 21548 grad_norm: 4.5271 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7953 loss: 0.7953 2022/08/01 19:19:23 - mmengine - INFO - Epoch(train) [75][60/940] lr: 1.0000e-03 eta: 6:06:31 time: 1.0711 data_time: 0.1090 memory: 21548 grad_norm: 4.4135 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7950 loss: 0.7950 2022/08/01 19:19:38 - mmengine - INFO - Epoch(train) [75][80/940] lr: 1.0000e-03 eta: 6:06:12 time: 0.7454 data_time: 0.0421 memory: 21548 grad_norm: 4.3641 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8563 loss: 0.8563 2022/08/01 19:19:58 - mmengine - INFO - Epoch(train) [75][100/940] lr: 1.0000e-03 eta: 6:05:55 time: 0.9952 data_time: 0.0398 memory: 21548 grad_norm: 4.5392 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.7720 loss: 0.7720 2022/08/01 19:20:14 - mmengine - INFO - Epoch(train) [75][120/940] lr: 1.0000e-03 eta: 6:05:36 time: 0.7846 data_time: 0.0477 memory: 21548 grad_norm: 4.4308 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9178 loss: 0.9178 2022/08/01 19:20:32 - mmengine - INFO - Epoch(train) [75][140/940] lr: 1.0000e-03 eta: 6:05:18 time: 0.9466 data_time: 0.0347 memory: 21548 grad_norm: 4.4665 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7685 loss: 0.7685 2022/08/01 19:20:49 - mmengine - INFO - Epoch(train) [75][160/940] lr: 1.0000e-03 eta: 6:04:59 time: 0.8430 data_time: 0.0356 memory: 21548 grad_norm: 4.5866 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7772 loss: 0.7772 2022/08/01 19:21:07 - mmengine - INFO - Epoch(train) [75][180/940] lr: 1.0000e-03 eta: 6:04:41 time: 0.8748 data_time: 0.0370 memory: 21548 grad_norm: 4.4884 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6576 loss: 0.6576 2022/08/01 19:21:23 - mmengine - INFO - Epoch(train) [75][200/940] lr: 1.0000e-03 eta: 6:04:23 time: 0.8242 data_time: 0.0389 memory: 21548 grad_norm: 4.5072 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7929 loss: 0.7929 2022/08/01 19:21:42 - mmengine - INFO - Epoch(train) [75][220/940] lr: 1.0000e-03 eta: 6:04:05 time: 0.9076 data_time: 0.0438 memory: 21548 grad_norm: 4.4351 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7215 loss: 0.7215 2022/08/01 19:21:57 - mmengine - INFO - Epoch(train) [75][240/940] lr: 1.0000e-03 eta: 6:03:46 time: 0.7714 data_time: 0.0309 memory: 21548 grad_norm: 4.4744 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7615 loss: 0.7615 2022/08/01 19:22:15 - mmengine - INFO - Epoch(train) [75][260/940] lr: 1.0000e-03 eta: 6:03:28 time: 0.8933 data_time: 0.0387 memory: 21548 grad_norm: 4.3994 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6967 loss: 0.6967 2022/08/01 19:22:31 - mmengine - INFO - Epoch(train) [75][280/940] lr: 1.0000e-03 eta: 6:03:09 time: 0.8287 data_time: 0.0556 memory: 21548 grad_norm: 4.4834 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.8798 loss: 0.8798 2022/08/01 19:22:50 - mmengine - INFO - Epoch(train) [75][300/940] lr: 1.0000e-03 eta: 6:02:51 time: 0.9295 data_time: 0.0381 memory: 21548 grad_norm: 4.4680 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7780 loss: 0.7780 2022/08/01 19:23:06 - mmengine - INFO - Epoch(train) [75][320/940] lr: 1.0000e-03 eta: 6:02:32 time: 0.7810 data_time: 0.0312 memory: 21548 grad_norm: 4.5567 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7021 loss: 0.7021 2022/08/01 19:23:24 - mmengine - INFO - Epoch(train) [75][340/940] lr: 1.0000e-03 eta: 6:02:15 time: 0.9319 data_time: 0.0365 memory: 21548 grad_norm: 4.4825 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7963 loss: 0.7963 2022/08/01 19:23:39 - mmengine - INFO - Epoch(train) [75][360/940] lr: 1.0000e-03 eta: 6:01:55 time: 0.7373 data_time: 0.0407 memory: 21548 grad_norm: 4.4172 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7808 loss: 0.7808 2022/08/01 19:23:57 - mmengine - INFO - Epoch(train) [75][380/940] lr: 1.0000e-03 eta: 6:01:37 time: 0.9191 data_time: 0.0410 memory: 21548 grad_norm: 4.5030 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7165 loss: 0.7165 2022/08/01 19:24:13 - mmengine - INFO - Epoch(train) [75][400/940] lr: 1.0000e-03 eta: 6:01:19 time: 0.7837 data_time: 0.0353 memory: 21548 grad_norm: 4.4976 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6973 loss: 0.6973 2022/08/01 19:24:32 - mmengine - INFO - Epoch(train) [75][420/940] lr: 1.0000e-03 eta: 6:01:01 time: 0.9362 data_time: 0.0414 memory: 21548 grad_norm: 4.4448 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8757 loss: 0.8757 2022/08/01 19:24:48 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 19:24:48 - mmengine - INFO - Epoch(train) [75][440/940] lr: 1.0000e-03 eta: 6:00:42 time: 0.8022 data_time: 0.0417 memory: 21548 grad_norm: 4.4683 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7568 loss: 0.7568 2022/08/01 19:25:06 - mmengine - INFO - Epoch(train) [75][460/940] lr: 1.0000e-03 eta: 6:00:24 time: 0.9309 data_time: 0.0375 memory: 21548 grad_norm: 4.4471 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8161 loss: 0.8161 2022/08/01 19:25:23 - mmengine - INFO - Epoch(train) [75][480/940] lr: 1.0000e-03 eta: 6:00:06 time: 0.8201 data_time: 0.0415 memory: 21548 grad_norm: 4.4768 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7551 loss: 0.7551 2022/08/01 19:25:42 - mmengine - INFO - Epoch(train) [75][500/940] lr: 1.0000e-03 eta: 5:59:48 time: 0.9474 data_time: 0.0350 memory: 21548 grad_norm: 4.5693 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7154 loss: 0.7154 2022/08/01 19:25:57 - mmengine - INFO - Epoch(train) [75][520/940] lr: 1.0000e-03 eta: 5:59:29 time: 0.7516 data_time: 0.0331 memory: 21548 grad_norm: 4.5735 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7656 loss: 0.7656 2022/08/01 19:26:16 - mmengine - INFO - Epoch(train) [75][540/940] lr: 1.0000e-03 eta: 5:59:11 time: 0.9712 data_time: 0.0379 memory: 21548 grad_norm: 4.6720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8902 loss: 0.8902 2022/08/01 19:26:32 - mmengine - INFO - Epoch(train) [75][560/940] lr: 1.0000e-03 eta: 5:58:52 time: 0.7762 data_time: 0.0429 memory: 21548 grad_norm: 4.5998 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 0.8713 loss: 0.8713 2022/08/01 19:26:49 - mmengine - INFO - Epoch(train) [75][580/940] lr: 1.0000e-03 eta: 5:58:34 time: 0.8423 data_time: 0.0395 memory: 21548 grad_norm: 4.4943 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8090 loss: 0.8090 2022/08/01 19:27:03 - mmengine - INFO - Epoch(train) [75][600/940] lr: 1.0000e-03 eta: 5:58:15 time: 0.7195 data_time: 0.0383 memory: 21548 grad_norm: 4.6236 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8095 loss: 0.8095 2022/08/01 19:27:23 - mmengine - INFO - Epoch(train) [75][620/940] lr: 1.0000e-03 eta: 5:57:57 time: 1.0060 data_time: 0.0410 memory: 21548 grad_norm: 4.5315 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8033 loss: 0.8033 2022/08/01 19:27:39 - mmengine - INFO - Epoch(train) [75][640/940] lr: 1.0000e-03 eta: 5:57:38 time: 0.7723 data_time: 0.0388 memory: 21548 grad_norm: 4.4628 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8421 loss: 0.8421 2022/08/01 19:27:57 - mmengine - INFO - Epoch(train) [75][660/940] lr: 1.0000e-03 eta: 5:57:21 time: 0.9177 data_time: 0.0495 memory: 21548 grad_norm: 4.5339 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8632 loss: 0.8632 2022/08/01 19:28:13 - mmengine - INFO - Epoch(train) [75][680/940] lr: 1.0000e-03 eta: 5:57:02 time: 0.8066 data_time: 0.0344 memory: 21548 grad_norm: 4.4078 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8172 loss: 0.8172 2022/08/01 19:28:31 - mmengine - INFO - Epoch(train) [75][700/940] lr: 1.0000e-03 eta: 5:56:44 time: 0.8982 data_time: 0.0386 memory: 21548 grad_norm: 4.5817 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8081 loss: 0.8081 2022/08/01 19:28:47 - mmengine - INFO - Epoch(train) [75][720/940] lr: 1.0000e-03 eta: 5:56:25 time: 0.8034 data_time: 0.0520 memory: 21548 grad_norm: 4.4951 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7894 loss: 0.7894 2022/08/01 19:29:12 - mmengine - INFO - Epoch(train) [75][740/940] lr: 1.0000e-03 eta: 5:56:09 time: 1.2330 data_time: 0.2837 memory: 21548 grad_norm: 4.4776 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8095 loss: 0.8095 2022/08/01 19:29:26 - mmengine - INFO - Epoch(train) [75][760/940] lr: 1.0000e-03 eta: 5:55:50 time: 0.7092 data_time: 0.0256 memory: 21548 grad_norm: 4.4611 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7454 loss: 0.7454 2022/08/01 19:29:44 - mmengine - INFO - Epoch(train) [75][780/940] lr: 1.0000e-03 eta: 5:55:32 time: 0.8947 data_time: 0.0332 memory: 21548 grad_norm: 4.5130 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7556 loss: 0.7556 2022/08/01 19:30:00 - mmengine - INFO - Epoch(train) [75][800/940] lr: 1.0000e-03 eta: 5:55:13 time: 0.8025 data_time: 0.0373 memory: 21548 grad_norm: 4.5755 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8502 loss: 0.8502 2022/08/01 19:30:20 - mmengine - INFO - Epoch(train) [75][820/940] lr: 1.0000e-03 eta: 5:54:56 time: 0.9843 data_time: 0.0437 memory: 21548 grad_norm: 4.5270 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7877 loss: 0.7877 2022/08/01 19:30:35 - mmengine - INFO - Epoch(train) [75][840/940] lr: 1.0000e-03 eta: 5:54:37 time: 0.7487 data_time: 0.0368 memory: 21548 grad_norm: 4.4721 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7401 loss: 0.7401 2022/08/01 19:30:54 - mmengine - INFO - Epoch(train) [75][860/940] lr: 1.0000e-03 eta: 5:54:19 time: 0.9423 data_time: 0.0352 memory: 21548 grad_norm: 4.5902 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8607 loss: 0.8607 2022/08/01 19:31:09 - mmengine - INFO - Epoch(train) [75][880/940] lr: 1.0000e-03 eta: 5:54:00 time: 0.7835 data_time: 0.0378 memory: 21548 grad_norm: 4.5898 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7231 loss: 0.7231 2022/08/01 19:31:28 - mmengine - INFO - Epoch(train) [75][900/940] lr: 1.0000e-03 eta: 5:53:42 time: 0.9436 data_time: 0.0363 memory: 21548 grad_norm: 4.4821 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7873 loss: 0.7873 2022/08/01 19:31:44 - mmengine - INFO - Epoch(train) [75][920/940] lr: 1.0000e-03 eta: 5:53:24 time: 0.7903 data_time: 0.0361 memory: 21548 grad_norm: 4.4690 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8573 loss: 0.8573 2022/08/01 19:32:00 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 19:32:00 - mmengine - INFO - Epoch(train) [75][940/940] lr: 1.0000e-03 eta: 5:53:05 time: 0.7880 data_time: 0.0263 memory: 21548 grad_norm: 4.9040 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.8476 loss: 0.8476 2022/08/01 19:32:00 - mmengine - INFO - Saving checkpoint at 75 epochs 2022/08/01 19:32:22 - mmengine - INFO - Epoch(val) [75][20/78] eta: 0:00:58 time: 1.0119 data_time: 0.8887 memory: 3271 2022/08/01 19:32:36 - mmengine - INFO - Epoch(val) [75][40/78] eta: 0:00:26 time: 0.6994 data_time: 0.5742 memory: 3271 2022/08/01 19:32:57 - mmengine - INFO - Epoch(val) [75][60/78] eta: 0:00:18 time: 1.0447 data_time: 0.9204 memory: 3271 2022/08/01 19:33:09 - mmengine - INFO - Epoch(val) [75][78/78] acc/top1: 0.7158 acc/top5: 0.8983 acc/mean1: 0.7157 2022/08/01 19:33:32 - mmengine - INFO - Epoch(train) [76][20/940] lr: 1.0000e-03 eta: 5:52:48 time: 1.1312 data_time: 0.5431 memory: 21548 grad_norm: 4.3390 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.8551 loss: 0.8551 2022/08/01 19:33:49 - mmengine - INFO - Epoch(train) [76][40/940] lr: 1.0000e-03 eta: 5:52:30 time: 0.8269 data_time: 0.2159 memory: 21548 grad_norm: 4.3865 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7325 loss: 0.7325 2022/08/01 19:34:08 - mmengine - INFO - Epoch(train) [76][60/940] lr: 1.0000e-03 eta: 5:52:12 time: 0.9504 data_time: 0.1061 memory: 21548 grad_norm: 4.5000 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7890 loss: 0.7890 2022/08/01 19:34:23 - mmengine - INFO - Epoch(train) [76][80/940] lr: 1.0000e-03 eta: 5:51:53 time: 0.7604 data_time: 0.0564 memory: 21548 grad_norm: 4.6462 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8727 loss: 0.8727 2022/08/01 19:34:42 - mmengine - INFO - Epoch(train) [76][100/940] lr: 1.0000e-03 eta: 5:51:35 time: 0.9396 data_time: 0.1330 memory: 21548 grad_norm: 4.5706 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8399 loss: 0.8399 2022/08/01 19:34:57 - mmengine - INFO - Epoch(train) [76][120/940] lr: 1.0000e-03 eta: 5:51:17 time: 0.7840 data_time: 0.0495 memory: 21548 grad_norm: 4.5514 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7822 loss: 0.7822 2022/08/01 19:35:17 - mmengine - INFO - Epoch(train) [76][140/940] lr: 1.0000e-03 eta: 5:50:59 time: 0.9671 data_time: 0.1820 memory: 21548 grad_norm: 4.4605 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7761 loss: 0.7761 2022/08/01 19:35:32 - mmengine - INFO - Epoch(train) [76][160/940] lr: 1.0000e-03 eta: 5:50:40 time: 0.7498 data_time: 0.0964 memory: 21548 grad_norm: 4.5404 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8040 loss: 0.8040 2022/08/01 19:35:50 - mmengine - INFO - Epoch(train) [76][180/940] lr: 1.0000e-03 eta: 5:50:22 time: 0.9136 data_time: 0.0947 memory: 21548 grad_norm: 4.5366 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.7581 loss: 0.7581 2022/08/01 19:36:06 - mmengine - INFO - Epoch(train) [76][200/940] lr: 1.0000e-03 eta: 5:50:03 time: 0.8057 data_time: 0.0847 memory: 21548 grad_norm: 4.5798 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7682 loss: 0.7682 2022/08/01 19:36:25 - mmengine - INFO - Epoch(train) [76][220/940] lr: 1.0000e-03 eta: 5:49:45 time: 0.9360 data_time: 0.0607 memory: 21548 grad_norm: 4.4998 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7854 loss: 0.7854 2022/08/01 19:36:42 - mmengine - INFO - Epoch(train) [76][240/940] lr: 1.0000e-03 eta: 5:49:27 time: 0.8421 data_time: 0.0368 memory: 21548 grad_norm: 4.3972 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.7518 loss: 0.7518 2022/08/01 19:37:01 - mmengine - INFO - Epoch(train) [76][260/940] lr: 1.0000e-03 eta: 5:49:10 time: 0.9759 data_time: 0.0387 memory: 21548 grad_norm: 4.4943 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7417 loss: 0.7417 2022/08/01 19:37:17 - mmengine - INFO - Epoch(train) [76][280/940] lr: 1.0000e-03 eta: 5:48:51 time: 0.7903 data_time: 0.0390 memory: 21548 grad_norm: 4.3422 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7359 loss: 0.7359 2022/08/01 19:37:35 - mmengine - INFO - Epoch(train) [76][300/940] lr: 1.0000e-03 eta: 5:48:33 time: 0.9067 data_time: 0.0373 memory: 21548 grad_norm: 4.6478 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7834 loss: 0.7834 2022/08/01 19:37:50 - mmengine - INFO - Epoch(train) [76][320/940] lr: 1.0000e-03 eta: 5:48:14 time: 0.7452 data_time: 0.0495 memory: 21548 grad_norm: 4.4277 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7390 loss: 0.7390 2022/08/01 19:38:09 - mmengine - INFO - Epoch(train) [76][340/940] lr: 1.0000e-03 eta: 5:47:56 time: 0.9398 data_time: 0.0431 memory: 21548 grad_norm: 4.5151 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8416 loss: 0.8416 2022/08/01 19:38:24 - mmengine - INFO - Epoch(train) [76][360/940] lr: 1.0000e-03 eta: 5:47:37 time: 0.7744 data_time: 0.0555 memory: 21548 grad_norm: 4.4897 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7530 loss: 0.7530 2022/08/01 19:38:43 - mmengine - INFO - Epoch(train) [76][380/940] lr: 1.0000e-03 eta: 5:47:19 time: 0.9416 data_time: 0.0812 memory: 21548 grad_norm: 4.4504 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7356 loss: 0.7356 2022/08/01 19:38:59 - mmengine - INFO - Epoch(train) [76][400/940] lr: 1.0000e-03 eta: 5:47:01 time: 0.7937 data_time: 0.0583 memory: 21548 grad_norm: 4.6801 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7617 loss: 0.7617 2022/08/01 19:39:18 - mmengine - INFO - Epoch(train) [76][420/940] lr: 1.0000e-03 eta: 5:46:43 time: 0.9400 data_time: 0.0349 memory: 21548 grad_norm: 4.6272 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8172 loss: 0.8172 2022/08/01 19:39:34 - mmengine - INFO - Epoch(train) [76][440/940] lr: 1.0000e-03 eta: 5:46:24 time: 0.7819 data_time: 0.0375 memory: 21548 grad_norm: 4.5631 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7683 loss: 0.7683 2022/08/01 19:39:53 - mmengine - INFO - Epoch(train) [76][460/940] lr: 1.0000e-03 eta: 5:46:06 time: 0.9721 data_time: 0.0373 memory: 21548 grad_norm: 4.5539 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8804 loss: 0.8804 2022/08/01 19:40:08 - mmengine - INFO - Epoch(train) [76][480/940] lr: 1.0000e-03 eta: 5:45:47 time: 0.7466 data_time: 0.0434 memory: 21548 grad_norm: 4.5113 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.7592 loss: 0.7592 2022/08/01 19:40:27 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 19:40:27 - mmengine - INFO - Epoch(train) [76][500/940] lr: 1.0000e-03 eta: 5:45:30 time: 0.9665 data_time: 0.0374 memory: 21548 grad_norm: 4.5742 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8362 loss: 0.8362 2022/08/01 19:40:43 - mmengine - INFO - Epoch(train) [76][520/940] lr: 1.0000e-03 eta: 5:45:11 time: 0.7815 data_time: 0.0364 memory: 21548 grad_norm: 4.5581 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7882 loss: 0.7882 2022/08/01 19:41:02 - mmengine - INFO - Epoch(train) [76][540/940] lr: 1.0000e-03 eta: 5:44:53 time: 0.9581 data_time: 0.3478 memory: 21548 grad_norm: 4.5289 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8564 loss: 0.8564 2022/08/01 19:41:17 - mmengine - INFO - Epoch(train) [76][560/940] lr: 1.0000e-03 eta: 5:44:34 time: 0.7697 data_time: 0.3054 memory: 21548 grad_norm: 4.4752 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7935 loss: 0.7935 2022/08/01 19:41:37 - mmengine - INFO - Epoch(train) [76][580/940] lr: 1.0000e-03 eta: 5:44:17 time: 0.9545 data_time: 0.3851 memory: 21548 grad_norm: 4.5285 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8315 loss: 0.8315 2022/08/01 19:41:52 - mmengine - INFO - Epoch(train) [76][600/940] lr: 1.0000e-03 eta: 5:43:58 time: 0.7807 data_time: 0.2089 memory: 21548 grad_norm: 4.4299 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8135 loss: 0.8135 2022/08/01 19:42:11 - mmengine - INFO - Epoch(train) [76][620/940] lr: 1.0000e-03 eta: 5:43:40 time: 0.9626 data_time: 0.2406 memory: 21548 grad_norm: 4.5074 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7270 loss: 0.7270 2022/08/01 19:42:27 - mmengine - INFO - Epoch(train) [76][640/940] lr: 1.0000e-03 eta: 5:43:21 time: 0.7606 data_time: 0.1470 memory: 21548 grad_norm: 4.5227 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8024 loss: 0.8024 2022/08/01 19:42:45 - mmengine - INFO - Epoch(train) [76][660/940] lr: 1.0000e-03 eta: 5:43:04 time: 0.9208 data_time: 0.1470 memory: 21548 grad_norm: 4.3634 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6707 loss: 0.6707 2022/08/01 19:43:01 - mmengine - INFO - Epoch(train) [76][680/940] lr: 1.0000e-03 eta: 5:42:45 time: 0.7826 data_time: 0.1012 memory: 21548 grad_norm: 4.3959 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7787 loss: 0.7787 2022/08/01 19:43:21 - mmengine - INFO - Epoch(train) [76][700/940] lr: 1.0000e-03 eta: 5:42:27 time: 1.0060 data_time: 0.0681 memory: 21548 grad_norm: 4.5300 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7989 loss: 0.7989 2022/08/01 19:44:07 - mmengine - INFO - Epoch(train) [76][720/940] lr: 1.0000e-03 eta: 5:42:18 time: 2.3066 data_time: 0.0252 memory: 21548 grad_norm: 4.5951 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8659 loss: 0.8659 2022/08/01 19:44:20 - mmengine - INFO - Epoch(train) [76][740/940] lr: 1.0000e-03 eta: 5:41:59 time: 0.6580 data_time: 0.0509 memory: 21548 grad_norm: 4.6455 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8635 loss: 0.8635 2022/08/01 19:44:44 - mmengine - INFO - Epoch(train) [76][760/940] lr: 1.0000e-03 eta: 5:41:43 time: 1.2004 data_time: 0.0335 memory: 21548 grad_norm: 4.4454 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8267 loss: 0.8267 2022/08/01 19:44:59 - mmengine - INFO - Epoch(train) [76][780/940] lr: 1.0000e-03 eta: 5:41:24 time: 0.7601 data_time: 0.0341 memory: 21548 grad_norm: 4.5366 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8570 loss: 0.8570 2022/08/01 19:45:17 - mmengine - INFO - Epoch(train) [76][800/940] lr: 1.0000e-03 eta: 5:41:05 time: 0.8669 data_time: 0.0422 memory: 21548 grad_norm: 4.5137 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7986 loss: 0.7986 2022/08/01 19:45:32 - mmengine - INFO - Epoch(train) [76][820/940] lr: 1.0000e-03 eta: 5:40:47 time: 0.7749 data_time: 0.0356 memory: 21548 grad_norm: 4.4515 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7028 loss: 0.7028 2022/08/01 19:45:50 - mmengine - INFO - Epoch(train) [76][840/940] lr: 1.0000e-03 eta: 5:40:28 time: 0.8699 data_time: 0.0394 memory: 21548 grad_norm: 4.5694 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8062 loss: 0.8062 2022/08/01 19:46:05 - mmengine - INFO - Epoch(train) [76][860/940] lr: 1.0000e-03 eta: 5:40:10 time: 0.7705 data_time: 0.0394 memory: 21548 grad_norm: 4.5289 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7277 loss: 0.7277 2022/08/01 19:46:24 - mmengine - INFO - Epoch(train) [76][880/940] lr: 1.0000e-03 eta: 5:39:52 time: 0.9614 data_time: 0.0342 memory: 21548 grad_norm: 4.6052 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6970 loss: 0.6970 2022/08/01 19:46:41 - mmengine - INFO - Epoch(train) [76][900/940] lr: 1.0000e-03 eta: 5:39:33 time: 0.8217 data_time: 0.0380 memory: 21548 grad_norm: 4.5752 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.7105 loss: 0.7105 2022/08/01 19:46:59 - mmengine - INFO - Epoch(train) [76][920/940] lr: 1.0000e-03 eta: 5:39:15 time: 0.9193 data_time: 0.0346 memory: 21548 grad_norm: 4.6102 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7773 loss: 0.7773 2022/08/01 19:47:13 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 19:47:13 - mmengine - INFO - Epoch(train) [76][940/940] lr: 1.0000e-03 eta: 5:38:56 time: 0.6759 data_time: 0.0298 memory: 21548 grad_norm: 4.7967 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7771 loss: 0.7771 2022/08/01 19:47:33 - mmengine - INFO - Epoch(val) [76][20/78] eta: 0:00:58 time: 1.0121 data_time: 0.8718 memory: 3271 2022/08/01 19:47:47 - mmengine - INFO - Epoch(val) [76][40/78] eta: 0:00:26 time: 0.6960 data_time: 0.5731 memory: 3271 2022/08/01 19:48:07 - mmengine - INFO - Epoch(val) [76][60/78] eta: 0:00:18 time: 1.0122 data_time: 0.8891 memory: 3271 2022/08/01 19:48:35 - mmengine - INFO - Epoch(val) [76][78/78] acc/top1: 0.7151 acc/top5: 0.8980 acc/mean1: 0.7150 2022/08/01 19:48:58 - mmengine - INFO - Epoch(train) [77][20/940] lr: 1.0000e-03 eta: 5:38:39 time: 1.1415 data_time: 0.6008 memory: 21548 grad_norm: 4.5129 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7987 loss: 0.7987 2022/08/01 19:49:13 - mmengine - INFO - Epoch(train) [77][40/940] lr: 1.0000e-03 eta: 5:38:20 time: 0.7391 data_time: 0.2234 memory: 21548 grad_norm: 4.5614 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7557 loss: 0.7557 2022/08/01 19:49:32 - mmengine - INFO - Epoch(train) [77][60/940] lr: 1.0000e-03 eta: 5:38:03 time: 0.9660 data_time: 0.3301 memory: 21548 grad_norm: 4.5012 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8092 loss: 0.8092 2022/08/01 19:49:49 - mmengine - INFO - Epoch(train) [77][80/940] lr: 1.0000e-03 eta: 5:37:44 time: 0.8540 data_time: 0.0953 memory: 21548 grad_norm: 4.4716 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7720 loss: 0.7720 2022/08/01 19:50:07 - mmengine - INFO - Epoch(train) [77][100/940] lr: 1.0000e-03 eta: 5:37:26 time: 0.8846 data_time: 0.1109 memory: 21548 grad_norm: 4.3956 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8016 loss: 0.8016 2022/08/01 19:50:22 - mmengine - INFO - Epoch(train) [77][120/940] lr: 1.0000e-03 eta: 5:37:07 time: 0.7623 data_time: 0.1149 memory: 21548 grad_norm: 4.5172 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8625 loss: 0.8625 2022/08/01 19:50:41 - mmengine - INFO - Epoch(train) [77][140/940] lr: 1.0000e-03 eta: 5:36:50 time: 0.9292 data_time: 0.0971 memory: 21548 grad_norm: 4.5247 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7915 loss: 0.7915 2022/08/01 19:50:56 - mmengine - INFO - Epoch(train) [77][160/940] lr: 1.0000e-03 eta: 5:36:31 time: 0.7753 data_time: 0.0626 memory: 21548 grad_norm: 4.7330 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9035 loss: 0.9035 2022/08/01 19:51:15 - mmengine - INFO - Epoch(train) [77][180/940] lr: 1.0000e-03 eta: 5:36:13 time: 0.9423 data_time: 0.0358 memory: 21548 grad_norm: 4.5001 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7281 loss: 0.7281 2022/08/01 19:51:30 - mmengine - INFO - Epoch(train) [77][200/940] lr: 1.0000e-03 eta: 5:35:54 time: 0.7652 data_time: 0.0360 memory: 21548 grad_norm: 4.3552 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6822 loss: 0.6822 2022/08/01 19:51:49 - mmengine - INFO - Epoch(train) [77][220/940] lr: 1.0000e-03 eta: 5:35:36 time: 0.9522 data_time: 0.0365 memory: 21548 grad_norm: 4.3596 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7821 loss: 0.7821 2022/08/01 19:52:05 - mmengine - INFO - Epoch(train) [77][240/940] lr: 1.0000e-03 eta: 5:35:17 time: 0.7644 data_time: 0.0420 memory: 21548 grad_norm: 4.5370 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9079 loss: 0.9079 2022/08/01 19:52:24 - mmengine - INFO - Epoch(train) [77][260/940] lr: 1.0000e-03 eta: 5:35:00 time: 0.9508 data_time: 0.0380 memory: 21548 grad_norm: 4.4688 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8887 loss: 0.8887 2022/08/01 19:52:39 - mmengine - INFO - Epoch(train) [77][280/940] lr: 1.0000e-03 eta: 5:34:41 time: 0.7874 data_time: 0.0397 memory: 21548 grad_norm: 4.4266 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7241 loss: 0.7241 2022/08/01 19:52:59 - mmengine - INFO - Epoch(train) [77][300/940] lr: 1.0000e-03 eta: 5:34:23 time: 0.9786 data_time: 0.0358 memory: 21548 grad_norm: 4.6654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8449 loss: 0.8449 2022/08/01 19:53:15 - mmengine - INFO - Epoch(train) [77][320/940] lr: 1.0000e-03 eta: 5:34:05 time: 0.7782 data_time: 0.0422 memory: 21548 grad_norm: 4.5055 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7695 loss: 0.7695 2022/08/01 19:53:33 - mmengine - INFO - Epoch(train) [77][340/940] lr: 1.0000e-03 eta: 5:33:47 time: 0.9163 data_time: 0.0385 memory: 21548 grad_norm: 4.6393 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7983 loss: 0.7983 2022/08/01 19:53:48 - mmengine - INFO - Epoch(train) [77][360/940] lr: 1.0000e-03 eta: 5:33:28 time: 0.7675 data_time: 0.0421 memory: 21548 grad_norm: 4.4773 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7533 loss: 0.7533 2022/08/01 19:54:07 - mmengine - INFO - Epoch(train) [77][380/940] lr: 1.0000e-03 eta: 5:33:10 time: 0.9332 data_time: 0.0431 memory: 21548 grad_norm: 4.5110 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7313 loss: 0.7313 2022/08/01 19:54:23 - mmengine - INFO - Epoch(train) [77][400/940] lr: 1.0000e-03 eta: 5:32:51 time: 0.7846 data_time: 0.0390 memory: 21548 grad_norm: 4.4361 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7860 loss: 0.7860 2022/08/01 19:54:42 - mmengine - INFO - Epoch(train) [77][420/940] lr: 1.0000e-03 eta: 5:32:34 time: 0.9839 data_time: 0.0359 memory: 21548 grad_norm: 4.6325 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7392 loss: 0.7392 2022/08/01 19:54:57 - mmengine - INFO - Epoch(train) [77][440/940] lr: 1.0000e-03 eta: 5:32:15 time: 0.7375 data_time: 0.0410 memory: 21548 grad_norm: 4.5863 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8453 loss: 0.8453 2022/08/01 19:55:15 - mmengine - INFO - Epoch(train) [77][460/940] lr: 1.0000e-03 eta: 5:31:57 time: 0.9120 data_time: 0.0387 memory: 21548 grad_norm: 4.4670 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7544 loss: 0.7544 2022/08/01 19:55:31 - mmengine - INFO - Epoch(train) [77][480/940] lr: 1.0000e-03 eta: 5:31:38 time: 0.8045 data_time: 0.0350 memory: 21548 grad_norm: 4.5868 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7515 loss: 0.7515 2022/08/01 19:55:51 - mmengine - INFO - Epoch(train) [77][500/940] lr: 1.0000e-03 eta: 5:31:21 time: 1.0040 data_time: 0.0381 memory: 21548 grad_norm: 4.3996 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7800 loss: 0.7800 2022/08/01 19:56:06 - mmengine - INFO - Epoch(train) [77][520/940] lr: 1.0000e-03 eta: 5:31:02 time: 0.7030 data_time: 0.0371 memory: 21548 grad_norm: 4.5397 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7833 loss: 0.7833 2022/08/01 19:56:25 - mmengine - INFO - Epoch(train) [77][540/940] lr: 1.0000e-03 eta: 5:30:44 time: 0.9707 data_time: 0.0410 memory: 21548 grad_norm: 4.4626 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7216 loss: 0.7216 2022/08/01 19:56:41 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 19:56:41 - mmengine - INFO - Epoch(train) [77][560/940] lr: 1.0000e-03 eta: 5:30:25 time: 0.7777 data_time: 0.0334 memory: 21548 grad_norm: 4.4883 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.7272 loss: 0.7272 2022/08/01 19:56:58 - mmengine - INFO - Epoch(train) [77][580/940] lr: 1.0000e-03 eta: 5:30:07 time: 0.8549 data_time: 0.0434 memory: 21548 grad_norm: 4.4655 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8057 loss: 0.8057 2022/08/01 19:57:14 - mmengine - INFO - Epoch(train) [77][600/940] lr: 1.0000e-03 eta: 5:29:48 time: 0.8145 data_time: 0.0338 memory: 21548 grad_norm: 4.5128 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7194 loss: 0.7194 2022/08/01 19:57:33 - mmengine - INFO - Epoch(train) [77][620/940] lr: 1.0000e-03 eta: 5:29:31 time: 0.9553 data_time: 0.0414 memory: 21548 grad_norm: 4.6367 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7823 loss: 0.7823 2022/08/01 19:57:48 - mmengine - INFO - Epoch(train) [77][640/940] lr: 1.0000e-03 eta: 5:29:12 time: 0.7432 data_time: 0.0322 memory: 21548 grad_norm: 4.5701 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8491 loss: 0.8491 2022/08/01 19:58:06 - mmengine - INFO - Epoch(train) [77][660/940] lr: 1.0000e-03 eta: 5:28:54 time: 0.8998 data_time: 0.0371 memory: 21548 grad_norm: 4.4656 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7326 loss: 0.7326 2022/08/01 19:58:23 - mmengine - INFO - Epoch(train) [77][680/940] lr: 1.0000e-03 eta: 5:28:35 time: 0.8416 data_time: 0.0349 memory: 21548 grad_norm: 4.3819 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7635 loss: 0.7635 2022/08/01 19:58:41 - mmengine - INFO - Epoch(train) [77][700/940] lr: 1.0000e-03 eta: 5:28:17 time: 0.9366 data_time: 0.1182 memory: 21548 grad_norm: 4.6075 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7353 loss: 0.7353 2022/08/01 19:58:56 - mmengine - INFO - Epoch(train) [77][720/940] lr: 1.0000e-03 eta: 5:27:58 time: 0.7170 data_time: 0.1109 memory: 21548 grad_norm: 4.5345 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8786 loss: 0.8786 2022/08/01 19:59:15 - mmengine - INFO - Epoch(train) [77][740/940] lr: 1.0000e-03 eta: 5:27:41 time: 0.9651 data_time: 0.1394 memory: 21548 grad_norm: 4.6099 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7834 loss: 0.7834 2022/08/01 19:59:31 - mmengine - INFO - Epoch(train) [77][760/940] lr: 1.0000e-03 eta: 5:27:22 time: 0.8092 data_time: 0.0543 memory: 21548 grad_norm: 4.5065 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7584 loss: 0.7584 2022/08/01 19:59:49 - mmengine - INFO - Epoch(train) [77][780/940] lr: 1.0000e-03 eta: 5:27:04 time: 0.9046 data_time: 0.0409 memory: 21548 grad_norm: 4.6608 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.9499 loss: 0.9499 2022/08/01 20:00:06 - mmengine - INFO - Epoch(train) [77][800/940] lr: 1.0000e-03 eta: 5:26:46 time: 0.8065 data_time: 0.0324 memory: 21548 grad_norm: 4.5569 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7245 loss: 0.7245 2022/08/01 20:00:26 - mmengine - INFO - Epoch(train) [77][820/940] lr: 1.0000e-03 eta: 5:26:28 time: 1.0169 data_time: 0.0391 memory: 21548 grad_norm: 4.6554 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.7944 loss: 0.7944 2022/08/01 20:00:42 - mmengine - INFO - Epoch(train) [77][840/940] lr: 1.0000e-03 eta: 5:26:10 time: 0.8095 data_time: 0.0321 memory: 21548 grad_norm: 4.5446 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7628 loss: 0.7628 2022/08/01 20:01:01 - mmengine - INFO - Epoch(train) [77][860/940] lr: 1.0000e-03 eta: 5:25:52 time: 0.9629 data_time: 0.0385 memory: 21548 grad_norm: 4.6638 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7635 loss: 0.7635 2022/08/01 20:01:17 - mmengine - INFO - Epoch(train) [77][880/940] lr: 1.0000e-03 eta: 5:25:33 time: 0.7774 data_time: 0.0403 memory: 21548 grad_norm: 4.6944 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7886 loss: 0.7886 2022/08/01 20:01:34 - mmengine - INFO - Epoch(train) [77][900/940] lr: 1.0000e-03 eta: 5:25:15 time: 0.8585 data_time: 0.0387 memory: 21548 grad_norm: 4.5299 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7670 loss: 0.7670 2022/08/01 20:01:50 - mmengine - INFO - Epoch(train) [77][920/940] lr: 1.0000e-03 eta: 5:24:56 time: 0.7961 data_time: 0.0391 memory: 21548 grad_norm: 4.6403 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.6893 loss: 0.6893 2022/08/01 20:02:04 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 20:02:04 - mmengine - INFO - Epoch(train) [77][940/940] lr: 1.0000e-03 eta: 5:24:37 time: 0.7111 data_time: 0.0267 memory: 21548 grad_norm: 4.7587 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.6961 loss: 0.6961 2022/08/01 20:02:25 - mmengine - INFO - Epoch(val) [77][20/78] eta: 0:00:58 time: 1.0157 data_time: 0.8883 memory: 3271 2022/08/01 20:02:39 - mmengine - INFO - Epoch(val) [77][40/78] eta: 0:00:26 time: 0.6982 data_time: 0.5735 memory: 3271 2022/08/01 20:02:58 - mmengine - INFO - Epoch(val) [77][60/78] eta: 0:00:17 time: 0.9777 data_time: 0.8528 memory: 3271 2022/08/01 20:03:16 - mmengine - INFO - Epoch(val) [77][78/78] acc/top1: 0.7160 acc/top5: 0.8991 acc/mean1: 0.7158 2022/08/01 20:03:39 - mmengine - INFO - Epoch(train) [78][20/940] lr: 1.0000e-03 eta: 5:24:20 time: 1.1231 data_time: 0.6879 memory: 21548 grad_norm: 4.5758 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6977 loss: 0.6977 2022/08/01 20:03:55 - mmengine - INFO - Epoch(train) [78][40/940] lr: 1.0000e-03 eta: 5:24:02 time: 0.7915 data_time: 0.3819 memory: 21548 grad_norm: 4.4925 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7577 loss: 0.7577 2022/08/01 20:04:13 - mmengine - INFO - Epoch(train) [78][60/940] lr: 1.0000e-03 eta: 5:23:44 time: 0.9386 data_time: 0.5013 memory: 21548 grad_norm: 4.2967 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7552 loss: 0.7552 2022/08/01 20:04:28 - mmengine - INFO - Epoch(train) [78][80/940] lr: 1.0000e-03 eta: 5:23:25 time: 0.7477 data_time: 0.2856 memory: 21548 grad_norm: 4.4637 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7397 loss: 0.7397 2022/08/01 20:04:47 - mmengine - INFO - Epoch(train) [78][100/940] lr: 1.0000e-03 eta: 5:23:07 time: 0.9407 data_time: 0.2645 memory: 21548 grad_norm: 4.5669 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7880 loss: 0.7880 2022/08/01 20:05:03 - mmengine - INFO - Epoch(train) [78][120/940] lr: 1.0000e-03 eta: 5:22:48 time: 0.7747 data_time: 0.2626 memory: 21548 grad_norm: 4.5575 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8739 loss: 0.8739 2022/08/01 20:05:22 - mmengine - INFO - Epoch(train) [78][140/940] lr: 1.0000e-03 eta: 5:22:31 time: 0.9835 data_time: 0.5469 memory: 21548 grad_norm: 4.5905 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8073 loss: 0.8073 2022/08/01 20:05:37 - mmengine - INFO - Epoch(train) [78][160/940] lr: 1.0000e-03 eta: 5:22:12 time: 0.7519 data_time: 0.3526 memory: 21548 grad_norm: 4.6421 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8233 loss: 0.8233 2022/08/01 20:05:55 - mmengine - INFO - Epoch(train) [78][180/940] lr: 1.0000e-03 eta: 5:21:54 time: 0.8968 data_time: 0.4814 memory: 21548 grad_norm: 4.5462 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8127 loss: 0.8127 2022/08/01 20:06:10 - mmengine - INFO - Epoch(train) [78][200/940] lr: 1.0000e-03 eta: 5:21:35 time: 0.7301 data_time: 0.3296 memory: 21548 grad_norm: 4.6453 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7460 loss: 0.7460 2022/08/01 20:06:30 - mmengine - INFO - Epoch(train) [78][220/940] lr: 1.0000e-03 eta: 5:21:18 time: 1.0064 data_time: 0.3844 memory: 21548 grad_norm: 4.6425 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7683 loss: 0.7683 2022/08/01 20:06:46 - mmengine - INFO - Epoch(train) [78][240/940] lr: 1.0000e-03 eta: 5:20:59 time: 0.8023 data_time: 0.2412 memory: 21548 grad_norm: 4.5334 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.7987 loss: 0.7987 2022/08/01 20:07:06 - mmengine - INFO - Epoch(train) [78][260/940] lr: 1.0000e-03 eta: 5:20:41 time: 0.9679 data_time: 0.2693 memory: 21548 grad_norm: 4.6051 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.7851 loss: 0.7851 2022/08/01 20:07:20 - mmengine - INFO - Epoch(train) [78][280/940] lr: 1.0000e-03 eta: 5:20:22 time: 0.7064 data_time: 0.0824 memory: 21548 grad_norm: 4.4555 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6486 loss: 0.6486 2022/08/01 20:07:39 - mmengine - INFO - Epoch(train) [78][300/940] lr: 1.0000e-03 eta: 5:20:04 time: 0.9383 data_time: 0.3396 memory: 21548 grad_norm: 4.5632 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7250 loss: 0.7250 2022/08/01 20:07:54 - mmengine - INFO - Epoch(train) [78][320/940] lr: 1.0000e-03 eta: 5:19:46 time: 0.7740 data_time: 0.3183 memory: 21548 grad_norm: 4.4530 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7524 loss: 0.7524 2022/08/01 20:08:12 - mmengine - INFO - Epoch(train) [78][340/940] lr: 1.0000e-03 eta: 5:19:28 time: 0.8991 data_time: 0.4435 memory: 21548 grad_norm: 4.5205 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.7652 loss: 0.7652 2022/08/01 20:08:28 - mmengine - INFO - Epoch(train) [78][360/940] lr: 1.0000e-03 eta: 5:19:09 time: 0.8137 data_time: 0.4044 memory: 21548 grad_norm: 4.5544 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6979 loss: 0.6979 2022/08/01 20:08:45 - mmengine - INFO - Epoch(train) [78][380/940] lr: 1.0000e-03 eta: 5:18:51 time: 0.8646 data_time: 0.4214 memory: 21548 grad_norm: 4.5383 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7845 loss: 0.7845 2022/08/01 20:09:04 - mmengine - INFO - Epoch(train) [78][400/940] lr: 1.0000e-03 eta: 5:18:33 time: 0.9071 data_time: 0.4366 memory: 21548 grad_norm: 4.5328 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7381 loss: 0.7381 2022/08/01 20:09:20 - mmengine - INFO - Epoch(train) [78][420/940] lr: 1.0000e-03 eta: 5:18:14 time: 0.7947 data_time: 0.3704 memory: 21548 grad_norm: 4.6151 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8065 loss: 0.8065 2022/08/01 20:09:37 - mmengine - INFO - Epoch(train) [78][440/940] lr: 1.0000e-03 eta: 5:17:56 time: 0.8707 data_time: 0.4652 memory: 21548 grad_norm: 4.4255 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7874 loss: 0.7874 2022/08/01 20:09:54 - mmengine - INFO - Epoch(train) [78][460/940] lr: 1.0000e-03 eta: 5:17:38 time: 0.8683 data_time: 0.4419 memory: 21548 grad_norm: 4.4813 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.7756 loss: 0.7756 2022/08/01 20:10:11 - mmengine - INFO - Epoch(train) [78][480/940] lr: 1.0000e-03 eta: 5:17:19 time: 0.8187 data_time: 0.4094 memory: 21548 grad_norm: 4.4696 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.7948 loss: 0.7948 2022/08/01 20:10:30 - mmengine - INFO - Epoch(train) [78][500/940] lr: 1.0000e-03 eta: 5:17:02 time: 0.9442 data_time: 0.5123 memory: 21548 grad_norm: 4.4794 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7157 loss: 0.7157 2022/08/01 20:10:46 - mmengine - INFO - Epoch(train) [78][520/940] lr: 1.0000e-03 eta: 5:16:43 time: 0.7972 data_time: 0.3497 memory: 21548 grad_norm: 4.4362 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6966 loss: 0.6966 2022/08/01 20:11:05 - mmengine - INFO - Epoch(train) [78][540/940] lr: 1.0000e-03 eta: 5:16:25 time: 0.9571 data_time: 0.4994 memory: 21548 grad_norm: 4.6299 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7672 loss: 0.7672 2022/08/01 20:11:19 - mmengine - INFO - Epoch(train) [78][560/940] lr: 1.0000e-03 eta: 5:16:06 time: 0.6905 data_time: 0.2624 memory: 21548 grad_norm: 4.6954 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7278 loss: 0.7278 2022/08/01 20:11:39 - mmengine - INFO - Epoch(train) [78][580/940] lr: 1.0000e-03 eta: 5:15:49 time: 1.0129 data_time: 0.5508 memory: 21548 grad_norm: 4.5677 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8220 loss: 0.8220 2022/08/01 20:11:55 - mmengine - INFO - Epoch(train) [78][600/940] lr: 1.0000e-03 eta: 5:15:30 time: 0.8216 data_time: 0.3931 memory: 21548 grad_norm: 4.5237 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6978 loss: 0.6978 2022/08/01 20:12:13 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 20:12:13 - mmengine - INFO - Epoch(train) [78][620/940] lr: 1.0000e-03 eta: 5:15:12 time: 0.8747 data_time: 0.4508 memory: 21548 grad_norm: 4.6502 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8691 loss: 0.8691 2022/08/01 20:12:28 - mmengine - INFO - Epoch(train) [78][640/940] lr: 1.0000e-03 eta: 5:14:53 time: 0.7659 data_time: 0.3124 memory: 21548 grad_norm: 4.7072 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7367 loss: 0.7367 2022/08/01 20:12:46 - mmengine - INFO - Epoch(train) [78][660/940] lr: 1.0000e-03 eta: 5:14:35 time: 0.8892 data_time: 0.3967 memory: 21548 grad_norm: 4.5991 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7734 loss: 0.7734 2022/08/01 20:13:02 - mmengine - INFO - Epoch(train) [78][680/940] lr: 1.0000e-03 eta: 5:14:17 time: 0.8014 data_time: 0.3795 memory: 21548 grad_norm: 4.4934 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7218 loss: 0.7218 2022/08/01 20:13:20 - mmengine - INFO - Epoch(train) [78][700/940] lr: 1.0000e-03 eta: 5:13:59 time: 0.8900 data_time: 0.4628 memory: 21548 grad_norm: 4.4358 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6988 loss: 0.6988 2022/08/01 20:13:35 - mmengine - INFO - Epoch(train) [78][720/940] lr: 1.0000e-03 eta: 5:13:40 time: 0.7777 data_time: 0.3038 memory: 21548 grad_norm: 4.7008 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8481 loss: 0.8481 2022/08/01 20:13:58 - mmengine - INFO - Epoch(train) [78][740/940] lr: 1.0000e-03 eta: 5:13:23 time: 1.1193 data_time: 0.3642 memory: 21548 grad_norm: 4.6161 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7779 loss: 0.7779 2022/08/01 20:14:13 - mmengine - INFO - Epoch(train) [78][760/940] lr: 1.0000e-03 eta: 5:13:04 time: 0.7550 data_time: 0.0476 memory: 21548 grad_norm: 4.5583 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9746 loss: 0.9746 2022/08/01 20:14:31 - mmengine - INFO - Epoch(train) [78][780/940] lr: 1.0000e-03 eta: 5:12:46 time: 0.9212 data_time: 0.0954 memory: 21548 grad_norm: 4.6190 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.7818 loss: 0.7818 2022/08/01 20:14:47 - mmengine - INFO - Epoch(train) [78][800/940] lr: 1.0000e-03 eta: 5:12:28 time: 0.7739 data_time: 0.1218 memory: 21548 grad_norm: 4.5685 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.8050 loss: 0.8050 2022/08/01 20:15:04 - mmengine - INFO - Epoch(train) [78][820/940] lr: 1.0000e-03 eta: 5:12:09 time: 0.8567 data_time: 0.1957 memory: 21548 grad_norm: 4.6102 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7758 loss: 0.7758 2022/08/01 20:15:22 - mmengine - INFO - Epoch(train) [78][840/940] lr: 1.0000e-03 eta: 5:11:51 time: 0.9151 data_time: 0.3314 memory: 21548 grad_norm: 4.6103 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7741 loss: 0.7741 2022/08/01 20:15:39 - mmengine - INFO - Epoch(train) [78][860/940] lr: 1.0000e-03 eta: 5:11:33 time: 0.8578 data_time: 0.1972 memory: 21548 grad_norm: 4.6186 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7619 loss: 0.7619 2022/08/01 20:15:56 - mmengine - INFO - Epoch(train) [78][880/940] lr: 1.0000e-03 eta: 5:11:15 time: 0.8414 data_time: 0.2511 memory: 21548 grad_norm: 4.5925 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7822 loss: 0.7822 2022/08/01 20:16:12 - mmengine - INFO - Epoch(train) [78][900/940] lr: 1.0000e-03 eta: 5:10:56 time: 0.8167 data_time: 0.2195 memory: 21548 grad_norm: 4.6091 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7762 loss: 0.7762 2022/08/01 20:16:31 - mmengine - INFO - Epoch(train) [78][920/940] lr: 1.0000e-03 eta: 5:10:39 time: 0.9370 data_time: 0.4676 memory: 21548 grad_norm: 4.6856 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8195 loss: 0.8195 2022/08/01 20:16:46 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 20:16:46 - mmengine - INFO - Epoch(train) [78][940/940] lr: 1.0000e-03 eta: 5:10:20 time: 0.7400 data_time: 0.2902 memory: 21548 grad_norm: 4.8617 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7705 loss: 0.7705 2022/08/01 20:16:46 - mmengine - INFO - Saving checkpoint at 78 epochs 2022/08/01 20:17:10 - mmengine - INFO - Epoch(val) [78][20/78] eta: 0:00:58 time: 1.0156 data_time: 0.8695 memory: 3271 2022/08/01 20:17:24 - mmengine - INFO - Epoch(val) [78][40/78] eta: 0:00:26 time: 0.7059 data_time: 0.5681 memory: 3271 2022/08/01 20:17:44 - mmengine - INFO - Epoch(val) [78][60/78] eta: 0:00:17 time: 0.9605 data_time: 0.8395 memory: 3271 2022/08/01 20:18:04 - mmengine - INFO - Epoch(val) [78][78/78] acc/top1: 0.7154 acc/top5: 0.8992 acc/mean1: 0.7153 2022/08/01 20:18:27 - mmengine - INFO - Epoch(train) [79][20/940] lr: 1.0000e-03 eta: 5:10:03 time: 1.1485 data_time: 0.6713 memory: 21548 grad_norm: 4.4219 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.7316 loss: 0.7316 2022/08/01 20:18:43 - mmengine - INFO - Epoch(train) [79][40/940] lr: 1.0000e-03 eta: 5:09:44 time: 0.7869 data_time: 0.3356 memory: 21548 grad_norm: 4.4684 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.7794 loss: 0.7794 2022/08/01 20:19:04 - mmengine - INFO - Epoch(train) [79][60/940] lr: 1.0000e-03 eta: 5:09:27 time: 1.0497 data_time: 0.2079 memory: 21548 grad_norm: 4.6047 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8416 loss: 0.8416 2022/08/01 20:19:27 - mmengine - INFO - Epoch(train) [79][80/940] lr: 1.0000e-03 eta: 5:09:11 time: 1.1623 data_time: 0.0290 memory: 21548 grad_norm: 4.5344 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7972 loss: 0.7972 2022/08/01 20:19:49 - mmengine - INFO - Epoch(train) [79][100/940] lr: 1.0000e-03 eta: 5:08:54 time: 1.0956 data_time: 0.0334 memory: 21548 grad_norm: 4.4404 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7246 loss: 0.7246 2022/08/01 20:20:06 - mmengine - INFO - Epoch(train) [79][120/940] lr: 1.0000e-03 eta: 5:08:36 time: 0.8707 data_time: 0.0298 memory: 21548 grad_norm: 4.5533 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7613 loss: 0.7613 2022/08/01 20:20:23 - mmengine - INFO - Epoch(train) [79][140/940] lr: 1.0000e-03 eta: 5:08:17 time: 0.8147 data_time: 0.0762 memory: 21548 grad_norm: 4.5386 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6274 loss: 0.6274 2022/08/01 20:20:42 - mmengine - INFO - Epoch(train) [79][160/940] lr: 1.0000e-03 eta: 5:07:59 time: 0.9449 data_time: 0.0383 memory: 21548 grad_norm: 4.4480 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6787 loss: 0.6787 2022/08/01 20:20:57 - mmengine - INFO - Epoch(train) [79][180/940] lr: 1.0000e-03 eta: 5:07:41 time: 0.7908 data_time: 0.0461 memory: 21548 grad_norm: 4.4798 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7746 loss: 0.7746 2022/08/01 20:21:14 - mmengine - INFO - Epoch(train) [79][200/940] lr: 1.0000e-03 eta: 5:07:22 time: 0.8367 data_time: 0.0453 memory: 21548 grad_norm: 4.5151 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7620 loss: 0.7620 2022/08/01 20:21:38 - mmengine - INFO - Epoch(train) [79][220/940] lr: 1.0000e-03 eta: 5:07:06 time: 1.1999 data_time: 0.0362 memory: 21548 grad_norm: 4.6115 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7560 loss: 0.7560 2022/08/01 20:21:58 - mmengine - INFO - Epoch(train) [79][240/940] lr: 1.0000e-03 eta: 5:06:49 time: 1.0120 data_time: 0.0389 memory: 21548 grad_norm: 4.6221 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7877 loss: 0.7877 2022/08/01 20:22:15 - mmengine - INFO - Epoch(train) [79][260/940] lr: 1.0000e-03 eta: 5:06:30 time: 0.8258 data_time: 0.0352 memory: 21548 grad_norm: 4.5282 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8107 loss: 0.8107 2022/08/01 20:22:32 - mmengine - INFO - Epoch(train) [79][280/940] lr: 1.0000e-03 eta: 5:06:12 time: 0.8292 data_time: 0.0346 memory: 21548 grad_norm: 4.5466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7244 loss: 0.7244 2022/08/01 20:22:50 - mmengine - INFO - Epoch(train) [79][300/940] lr: 1.0000e-03 eta: 5:05:54 time: 0.9207 data_time: 0.0380 memory: 21548 grad_norm: 4.5088 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7647 loss: 0.7647 2022/08/01 20:23:06 - mmengine - INFO - Epoch(train) [79][320/940] lr: 1.0000e-03 eta: 5:05:35 time: 0.8153 data_time: 0.0414 memory: 21548 grad_norm: 4.6361 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7838 loss: 0.7838 2022/08/01 20:23:23 - mmengine - INFO - Epoch(train) [79][340/940] lr: 1.0000e-03 eta: 5:05:17 time: 0.8605 data_time: 0.0383 memory: 21548 grad_norm: 4.5761 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7742 loss: 0.7742 2022/08/01 20:23:41 - mmengine - INFO - Epoch(train) [79][360/940] lr: 1.0000e-03 eta: 5:04:59 time: 0.9019 data_time: 0.0363 memory: 21548 grad_norm: 4.5682 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8064 loss: 0.8064 2022/08/01 20:23:57 - mmengine - INFO - Epoch(train) [79][380/940] lr: 1.0000e-03 eta: 5:04:40 time: 0.7414 data_time: 0.0383 memory: 21548 grad_norm: 4.5547 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7407 loss: 0.7407 2022/08/01 20:24:15 - mmengine - INFO - Epoch(train) [79][400/940] lr: 1.0000e-03 eta: 5:04:22 time: 0.9166 data_time: 0.0473 memory: 21548 grad_norm: 4.6754 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7826 loss: 0.7826 2022/08/01 20:24:31 - mmengine - INFO - Epoch(train) [79][420/940] lr: 1.0000e-03 eta: 5:04:04 time: 0.7912 data_time: 0.0362 memory: 21548 grad_norm: 4.7486 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8558 loss: 0.8558 2022/08/01 20:24:49 - mmengine - INFO - Epoch(train) [79][440/940] lr: 1.0000e-03 eta: 5:03:46 time: 0.9160 data_time: 0.0375 memory: 21548 grad_norm: 4.5358 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7132 loss: 0.7132 2022/08/01 20:25:04 - mmengine - INFO - Epoch(train) [79][460/940] lr: 1.0000e-03 eta: 5:03:27 time: 0.7645 data_time: 0.0385 memory: 21548 grad_norm: 4.6356 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7596 loss: 0.7596 2022/08/01 20:25:23 - mmengine - INFO - Epoch(train) [79][480/940] lr: 1.0000e-03 eta: 5:03:09 time: 0.9655 data_time: 0.0379 memory: 21548 grad_norm: 4.5359 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.7446 loss: 0.7446 2022/08/01 20:25:39 - mmengine - INFO - Epoch(train) [79][500/940] lr: 1.0000e-03 eta: 5:02:51 time: 0.7928 data_time: 0.0337 memory: 21548 grad_norm: 4.5756 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.7405 loss: 0.7405 2022/08/01 20:25:58 - mmengine - INFO - Epoch(train) [79][520/940] lr: 1.0000e-03 eta: 5:02:33 time: 0.9378 data_time: 0.0567 memory: 21548 grad_norm: 4.4191 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7107 loss: 0.7107 2022/08/01 20:26:13 - mmengine - INFO - Epoch(train) [79][540/940] lr: 1.0000e-03 eta: 5:02:14 time: 0.7535 data_time: 0.0357 memory: 21548 grad_norm: 4.6431 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7244 loss: 0.7244 2022/08/01 20:26:32 - mmengine - INFO - Epoch(train) [79][560/940] lr: 1.0000e-03 eta: 5:01:56 time: 0.9194 data_time: 0.0377 memory: 21548 grad_norm: 4.4760 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8489 loss: 0.8489 2022/08/01 20:26:48 - mmengine - INFO - Epoch(train) [79][580/940] lr: 1.0000e-03 eta: 5:01:38 time: 0.8036 data_time: 0.1165 memory: 21548 grad_norm: 4.5107 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7278 loss: 0.7278 2022/08/01 20:27:05 - mmengine - INFO - Epoch(train) [79][600/940] lr: 1.0000e-03 eta: 5:01:20 time: 0.8930 data_time: 0.0406 memory: 21548 grad_norm: 4.5769 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9149 loss: 0.9149 2022/08/01 20:27:22 - mmengine - INFO - Epoch(train) [79][620/940] lr: 1.0000e-03 eta: 5:01:01 time: 0.8330 data_time: 0.0778 memory: 21548 grad_norm: 4.5772 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7882 loss: 0.7882 2022/08/01 20:27:42 - mmengine - INFO - Epoch(train) [79][640/940] lr: 1.0000e-03 eta: 5:00:44 time: 0.9683 data_time: 0.3060 memory: 21548 grad_norm: 4.6301 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6794 loss: 0.6794 2022/08/01 20:27:58 - mmengine - INFO - Epoch(train) [79][660/940] lr: 1.0000e-03 eta: 5:00:25 time: 0.8170 data_time: 0.3310 memory: 21548 grad_norm: 4.5146 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8452 loss: 0.8452 2022/08/01 20:28:17 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 20:28:17 - mmengine - INFO - Epoch(train) [79][680/940] lr: 1.0000e-03 eta: 5:00:08 time: 0.9501 data_time: 0.5185 memory: 21548 grad_norm: 4.6810 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8373 loss: 0.8373 2022/08/01 20:28:32 - mmengine - INFO - Epoch(train) [79][700/940] lr: 1.0000e-03 eta: 4:59:49 time: 0.7624 data_time: 0.3315 memory: 21548 grad_norm: 4.5944 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.8034 loss: 0.8034 2022/08/01 20:28:51 - mmengine - INFO - Epoch(train) [79][720/940] lr: 1.0000e-03 eta: 4:59:31 time: 0.9417 data_time: 0.4384 memory: 21548 grad_norm: 4.4274 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7355 loss: 0.7355 2022/08/01 20:29:07 - mmengine - INFO - Epoch(train) [79][740/940] lr: 1.0000e-03 eta: 4:59:12 time: 0.7875 data_time: 0.3186 memory: 21548 grad_norm: 4.6468 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7755 loss: 0.7755 2022/08/01 20:29:26 - mmengine - INFO - Epoch(train) [79][760/940] lr: 1.0000e-03 eta: 4:58:55 time: 0.9634 data_time: 0.5000 memory: 21548 grad_norm: 4.7379 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7550 loss: 0.7550 2022/08/01 20:29:40 - mmengine - INFO - Epoch(train) [79][780/940] lr: 1.0000e-03 eta: 4:58:36 time: 0.7062 data_time: 0.2540 memory: 21548 grad_norm: 4.6341 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7293 loss: 0.7293 2022/08/01 20:29:59 - mmengine - INFO - Epoch(train) [79][800/940] lr: 1.0000e-03 eta: 4:58:18 time: 0.9374 data_time: 0.3673 memory: 21548 grad_norm: 4.5624 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8399 loss: 0.8399 2022/08/01 20:30:15 - mmengine - INFO - Epoch(train) [79][820/940] lr: 1.0000e-03 eta: 4:57:59 time: 0.8139 data_time: 0.2418 memory: 21548 grad_norm: 4.6493 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7164 loss: 0.7164 2022/08/01 20:30:33 - mmengine - INFO - Epoch(train) [79][840/940] lr: 1.0000e-03 eta: 4:57:41 time: 0.9089 data_time: 0.4630 memory: 21548 grad_norm: 4.4918 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8261 loss: 0.8261 2022/08/01 20:30:49 - mmengine - INFO - Epoch(train) [79][860/940] lr: 1.0000e-03 eta: 4:57:23 time: 0.7916 data_time: 0.3764 memory: 21548 grad_norm: 4.5887 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7419 loss: 0.7419 2022/08/01 20:31:07 - mmengine - INFO - Epoch(train) [79][880/940] lr: 1.0000e-03 eta: 4:57:05 time: 0.8696 data_time: 0.4476 memory: 21548 grad_norm: 4.5986 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8129 loss: 0.8129 2022/08/01 20:31:23 - mmengine - INFO - Epoch(train) [79][900/940] lr: 1.0000e-03 eta: 4:56:46 time: 0.7972 data_time: 0.3352 memory: 21548 grad_norm: 4.5960 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8211 loss: 0.8211 2022/08/01 20:31:41 - mmengine - INFO - Epoch(train) [79][920/940] lr: 1.0000e-03 eta: 4:56:28 time: 0.9026 data_time: 0.4213 memory: 21548 grad_norm: 4.5620 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7493 loss: 0.7493 2022/08/01 20:31:54 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 20:31:55 - mmengine - INFO - Epoch(train) [79][940/940] lr: 1.0000e-03 eta: 4:56:09 time: 0.6936 data_time: 0.2039 memory: 21548 grad_norm: 4.8052 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7197 loss: 0.7197 2022/08/01 20:32:15 - mmengine - INFO - Epoch(val) [79][20/78] eta: 0:00:59 time: 1.0299 data_time: 0.8884 memory: 3271 2022/08/01 20:32:30 - mmengine - INFO - Epoch(val) [79][40/78] eta: 0:00:27 time: 0.7146 data_time: 0.5912 memory: 3271 2022/08/01 20:32:48 - mmengine - INFO - Epoch(val) [79][60/78] eta: 0:00:17 time: 0.9470 data_time: 0.8210 memory: 3271 2022/08/01 20:33:07 - mmengine - INFO - Epoch(val) [79][78/78] acc/top1: 0.7140 acc/top5: 0.8985 acc/mean1: 0.7139 2022/08/01 20:33:30 - mmengine - INFO - Epoch(train) [80][20/940] lr: 1.0000e-03 eta: 4:55:52 time: 1.1444 data_time: 0.4751 memory: 21548 grad_norm: 4.3978 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6683 loss: 0.6683 2022/08/01 20:33:45 - mmengine - INFO - Epoch(train) [80][40/940] lr: 1.0000e-03 eta: 4:55:33 time: 0.7470 data_time: 0.0484 memory: 21548 grad_norm: 4.6232 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7644 loss: 0.7644 2022/08/01 20:34:04 - mmengine - INFO - Epoch(train) [80][60/940] lr: 1.0000e-03 eta: 4:55:16 time: 0.9830 data_time: 0.0448 memory: 21548 grad_norm: 4.4224 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6902 loss: 0.6902 2022/08/01 20:34:20 - mmengine - INFO - Epoch(train) [80][80/940] lr: 1.0000e-03 eta: 4:54:57 time: 0.7549 data_time: 0.0346 memory: 21548 grad_norm: 4.5812 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6689 loss: 0.6689 2022/08/01 20:34:38 - mmengine - INFO - Epoch(train) [80][100/940] lr: 1.0000e-03 eta: 4:54:39 time: 0.9231 data_time: 0.0438 memory: 21548 grad_norm: 4.5796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8674 loss: 0.8674 2022/08/01 20:34:54 - mmengine - INFO - Epoch(train) [80][120/940] lr: 1.0000e-03 eta: 4:54:21 time: 0.7803 data_time: 0.0302 memory: 21548 grad_norm: 4.6394 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8311 loss: 0.8311 2022/08/01 20:35:13 - mmengine - INFO - Epoch(train) [80][140/940] lr: 1.0000e-03 eta: 4:54:03 time: 0.9559 data_time: 0.0395 memory: 21548 grad_norm: 4.6814 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8627 loss: 0.8627 2022/08/01 20:35:28 - mmengine - INFO - Epoch(train) [80][160/940] lr: 1.0000e-03 eta: 4:53:44 time: 0.7720 data_time: 0.0311 memory: 21548 grad_norm: 4.4973 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7168 loss: 0.7168 2022/08/01 20:35:47 - mmengine - INFO - Epoch(train) [80][180/940] lr: 1.0000e-03 eta: 4:53:26 time: 0.9467 data_time: 0.0968 memory: 21548 grad_norm: 4.6149 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7654 loss: 0.7654 2022/08/01 20:36:01 - mmengine - INFO - Epoch(train) [80][200/940] lr: 1.0000e-03 eta: 4:53:07 time: 0.7125 data_time: 0.0596 memory: 21548 grad_norm: 4.4372 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8107 loss: 0.8107 2022/08/01 20:36:20 - mmengine - INFO - Epoch(train) [80][220/940] lr: 1.0000e-03 eta: 4:52:50 time: 0.9165 data_time: 0.2244 memory: 21548 grad_norm: 4.6043 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7265 loss: 0.7265 2022/08/01 20:36:35 - mmengine - INFO - Epoch(train) [80][240/940] lr: 1.0000e-03 eta: 4:52:31 time: 0.7737 data_time: 0.1972 memory: 21548 grad_norm: 4.6288 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7410 loss: 0.7410 2022/08/01 20:36:54 - mmengine - INFO - Epoch(train) [80][260/940] lr: 1.0000e-03 eta: 4:52:13 time: 0.9388 data_time: 0.3033 memory: 21548 grad_norm: 4.5240 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7588 loss: 0.7588 2022/08/01 20:37:09 - mmengine - INFO - Epoch(train) [80][280/940] lr: 1.0000e-03 eta: 4:51:54 time: 0.7698 data_time: 0.1241 memory: 21548 grad_norm: 4.4865 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7940 loss: 0.7940 2022/08/01 20:37:28 - mmengine - INFO - Epoch(train) [80][300/940] lr: 1.0000e-03 eta: 4:51:37 time: 0.9412 data_time: 0.2057 memory: 21548 grad_norm: 4.6287 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7652 loss: 0.7652 2022/08/01 20:37:44 - mmengine - INFO - Epoch(train) [80][320/940] lr: 1.0000e-03 eta: 4:51:18 time: 0.7770 data_time: 0.1577 memory: 21548 grad_norm: 4.4715 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7781 loss: 0.7781 2022/08/01 20:38:02 - mmengine - INFO - Epoch(train) [80][340/940] lr: 1.0000e-03 eta: 4:51:00 time: 0.9112 data_time: 0.2146 memory: 21548 grad_norm: 4.7060 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7457 loss: 0.7457 2022/08/01 20:38:21 - mmengine - INFO - Epoch(train) [80][360/940] lr: 1.0000e-03 eta: 4:50:42 time: 0.9235 data_time: 0.0338 memory: 21548 grad_norm: 4.4833 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.7397 loss: 0.7397 2022/08/01 20:38:36 - mmengine - INFO - Epoch(train) [80][380/940] lr: 1.0000e-03 eta: 4:50:24 time: 0.7915 data_time: 0.0368 memory: 21548 grad_norm: 4.5209 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7603 loss: 0.7603 2022/08/01 20:38:55 - mmengine - INFO - Epoch(train) [80][400/940] lr: 1.0000e-03 eta: 4:50:06 time: 0.9218 data_time: 0.0431 memory: 21548 grad_norm: 4.5021 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8208 loss: 0.8208 2022/08/01 20:39:11 - mmengine - INFO - Epoch(train) [80][420/940] lr: 1.0000e-03 eta: 4:49:47 time: 0.8081 data_time: 0.0729 memory: 21548 grad_norm: 4.5987 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8271 loss: 0.8271 2022/08/01 20:39:30 - mmengine - INFO - Epoch(train) [80][440/940] lr: 1.0000e-03 eta: 4:49:29 time: 0.9367 data_time: 0.0731 memory: 21548 grad_norm: 4.5808 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8137 loss: 0.8137 2022/08/01 20:39:45 - mmengine - INFO - Epoch(train) [80][460/940] lr: 1.0000e-03 eta: 4:49:11 time: 0.7447 data_time: 0.0550 memory: 21548 grad_norm: 4.6308 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7497 loss: 0.7497 2022/08/01 20:40:04 - mmengine - INFO - Epoch(train) [80][480/940] lr: 1.0000e-03 eta: 4:48:53 time: 0.9589 data_time: 0.0302 memory: 21548 grad_norm: 4.6353 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7738 loss: 0.7738 2022/08/01 20:40:19 - mmengine - INFO - Epoch(train) [80][500/940] lr: 1.0000e-03 eta: 4:48:34 time: 0.7834 data_time: 0.0485 memory: 21548 grad_norm: 4.5256 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7201 loss: 0.7201 2022/08/01 20:40:38 - mmengine - INFO - Epoch(train) [80][520/940] lr: 1.0000e-03 eta: 4:48:17 time: 0.9468 data_time: 0.0337 memory: 21548 grad_norm: 4.4727 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6965 loss: 0.6965 2022/08/01 20:40:54 - mmengine - INFO - Epoch(train) [80][540/940] lr: 1.0000e-03 eta: 4:47:58 time: 0.8024 data_time: 0.0393 memory: 21548 grad_norm: 4.6253 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8014 loss: 0.8014 2022/08/01 20:41:13 - mmengine - INFO - Epoch(train) [80][560/940] lr: 1.0000e-03 eta: 4:47:40 time: 0.9494 data_time: 0.0374 memory: 21548 grad_norm: 4.5574 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7060 loss: 0.7060 2022/08/01 20:41:29 - mmengine - INFO - Epoch(train) [80][580/940] lr: 1.0000e-03 eta: 4:47:22 time: 0.7587 data_time: 0.0380 memory: 21548 grad_norm: 4.7147 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8108 loss: 0.8108 2022/08/01 20:41:49 - mmengine - INFO - Epoch(train) [80][600/940] lr: 1.0000e-03 eta: 4:47:04 time: 0.9955 data_time: 0.0457 memory: 21548 grad_norm: 4.5324 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7417 loss: 0.7417 2022/08/01 20:42:04 - mmengine - INFO - Epoch(train) [80][620/940] lr: 1.0000e-03 eta: 4:46:46 time: 0.7868 data_time: 0.0478 memory: 21548 grad_norm: 4.6651 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8033 loss: 0.8033 2022/08/01 20:42:23 - mmengine - INFO - Epoch(train) [80][640/940] lr: 1.0000e-03 eta: 4:46:28 time: 0.9187 data_time: 0.0352 memory: 21548 grad_norm: 4.6358 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6761 loss: 0.6761 2022/08/01 20:42:39 - mmengine - INFO - Epoch(train) [80][660/940] lr: 1.0000e-03 eta: 4:46:09 time: 0.8192 data_time: 0.0392 memory: 21548 grad_norm: 4.5842 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7041 loss: 0.7041 2022/08/01 20:42:56 - mmengine - INFO - Epoch(train) [80][680/940] lr: 1.0000e-03 eta: 4:45:51 time: 0.8484 data_time: 0.0344 memory: 21548 grad_norm: 4.6405 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7281 loss: 0.7281 2022/08/01 20:43:11 - mmengine - INFO - Epoch(train) [80][700/940] lr: 1.0000e-03 eta: 4:45:32 time: 0.7545 data_time: 0.0393 memory: 21548 grad_norm: 4.6425 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7245 loss: 0.7245 2022/08/01 20:43:29 - mmengine - INFO - Epoch(train) [80][720/940] lr: 1.0000e-03 eta: 4:45:14 time: 0.8789 data_time: 0.0393 memory: 21548 grad_norm: 4.5893 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7492 loss: 0.7492 2022/08/01 20:43:46 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 20:43:46 - mmengine - INFO - Epoch(train) [80][740/940] lr: 1.0000e-03 eta: 4:44:56 time: 0.8544 data_time: 0.0458 memory: 21548 grad_norm: 4.5755 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7562 loss: 0.7562 2022/08/01 20:44:06 - mmengine - INFO - Epoch(train) [80][760/940] lr: 1.0000e-03 eta: 4:44:38 time: 1.0163 data_time: 0.0461 memory: 21548 grad_norm: 4.5240 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5985 loss: 0.5985 2022/08/01 20:44:21 - mmengine - INFO - Epoch(train) [80][780/940] lr: 1.0000e-03 eta: 4:44:20 time: 0.7646 data_time: 0.0431 memory: 21548 grad_norm: 4.6959 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8091 loss: 0.8091 2022/08/01 20:44:39 - mmengine - INFO - Epoch(train) [80][800/940] lr: 1.0000e-03 eta: 4:44:02 time: 0.8917 data_time: 0.0351 memory: 21548 grad_norm: 4.5336 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6445 loss: 0.6445 2022/08/01 20:44:55 - mmengine - INFO - Epoch(train) [80][820/940] lr: 1.0000e-03 eta: 4:43:43 time: 0.7638 data_time: 0.0458 memory: 21548 grad_norm: 4.4776 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8034 loss: 0.8034 2022/08/01 20:45:12 - mmengine - INFO - Epoch(train) [80][840/940] lr: 1.0000e-03 eta: 4:43:25 time: 0.8690 data_time: 0.0985 memory: 21548 grad_norm: 4.5939 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7859 loss: 0.7859 2022/08/01 20:45:29 - mmengine - INFO - Epoch(train) [80][860/940] lr: 1.0000e-03 eta: 4:43:07 time: 0.8584 data_time: 0.2071 memory: 21548 grad_norm: 4.6305 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7977 loss: 0.7977 2022/08/01 20:45:47 - mmengine - INFO - Epoch(train) [80][880/940] lr: 1.0000e-03 eta: 4:42:49 time: 0.8739 data_time: 0.1383 memory: 21548 grad_norm: 4.5926 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8259 loss: 0.8259 2022/08/01 20:46:05 - mmengine - INFO - Epoch(train) [80][900/940] lr: 1.0000e-03 eta: 4:42:31 time: 0.9064 data_time: 0.1891 memory: 21548 grad_norm: 4.6860 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8272 loss: 0.8272 2022/08/01 20:46:21 - mmengine - INFO - Epoch(train) [80][920/940] lr: 1.0000e-03 eta: 4:42:12 time: 0.8002 data_time: 0.0302 memory: 21548 grad_norm: 4.6251 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7548 loss: 0.7548 2022/08/01 20:46:36 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 20:46:36 - mmengine - INFO - Epoch(train) [80][940/940] lr: 1.0000e-03 eta: 4:41:53 time: 0.7584 data_time: 0.1350 memory: 21548 grad_norm: 4.9464 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.7892 loss: 0.7892 2022/08/01 20:46:56 - mmengine - INFO - Epoch(val) [80][20/78] eta: 0:00:58 time: 1.0074 data_time: 0.8840 memory: 3271 2022/08/01 20:47:10 - mmengine - INFO - Epoch(val) [80][40/78] eta: 0:00:26 time: 0.7095 data_time: 0.5858 memory: 3271 2022/08/01 20:47:31 - mmengine - INFO - Epoch(val) [80][60/78] eta: 0:00:18 time: 1.0350 data_time: 0.9131 memory: 3271 2022/08/01 20:47:49 - mmengine - INFO - Epoch(val) [80][78/78] acc/top1: 0.7146 acc/top5: 0.8978 acc/mean1: 0.7145 2022/08/01 20:48:11 - mmengine - INFO - Epoch(train) [81][20/940] lr: 1.0000e-04 eta: 4:41:37 time: 1.1184 data_time: 0.6127 memory: 21548 grad_norm: 4.3734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7344 loss: 0.7344 2022/08/01 20:48:26 - mmengine - INFO - Epoch(train) [81][40/940] lr: 1.0000e-04 eta: 4:41:18 time: 0.7567 data_time: 0.3462 memory: 21548 grad_norm: 4.5688 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8387 loss: 0.8387 2022/08/01 20:48:52 - mmengine - INFO - Epoch(train) [81][60/940] lr: 1.0000e-04 eta: 4:41:02 time: 1.2916 data_time: 0.1498 memory: 21548 grad_norm: 4.5387 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7370 loss: 0.7370 2022/08/01 20:49:08 - mmengine - INFO - Epoch(train) [81][80/940] lr: 1.0000e-04 eta: 4:40:43 time: 0.7893 data_time: 0.0348 memory: 21548 grad_norm: 4.5078 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6906 loss: 0.6906 2022/08/01 20:49:27 - mmengine - INFO - Epoch(train) [81][100/940] lr: 1.0000e-04 eta: 4:40:25 time: 0.9379 data_time: 0.0352 memory: 21548 grad_norm: 4.5084 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7191 loss: 0.7191 2022/08/01 20:49:42 - mmengine - INFO - Epoch(train) [81][120/940] lr: 1.0000e-04 eta: 4:40:07 time: 0.7845 data_time: 0.0387 memory: 21548 grad_norm: 4.6558 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7586 loss: 0.7586 2022/08/01 20:50:00 - mmengine - INFO - Epoch(train) [81][140/940] lr: 1.0000e-04 eta: 4:39:49 time: 0.8956 data_time: 0.0369 memory: 21548 grad_norm: 4.6310 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6757 loss: 0.6757 2022/08/01 20:50:17 - mmengine - INFO - Epoch(train) [81][160/940] lr: 1.0000e-04 eta: 4:39:31 time: 0.8598 data_time: 0.0388 memory: 21548 grad_norm: 4.4898 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8094 loss: 0.8094 2022/08/01 20:50:35 - mmengine - INFO - Epoch(train) [81][180/940] lr: 1.0000e-04 eta: 4:39:12 time: 0.8613 data_time: 0.0386 memory: 21548 grad_norm: 4.4991 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6677 loss: 0.6677 2022/08/01 20:50:52 - mmengine - INFO - Epoch(train) [81][200/940] lr: 1.0000e-04 eta: 4:38:54 time: 0.8804 data_time: 0.0394 memory: 21548 grad_norm: 4.5310 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6839 loss: 0.6839 2022/08/01 20:51:09 - mmengine - INFO - Epoch(train) [81][220/940] lr: 1.0000e-04 eta: 4:38:36 time: 0.8425 data_time: 0.0452 memory: 21548 grad_norm: 4.5894 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8204 loss: 0.8204 2022/08/01 20:51:25 - mmengine - INFO - Epoch(train) [81][240/940] lr: 1.0000e-04 eta: 4:38:18 time: 0.7791 data_time: 0.0347 memory: 21548 grad_norm: 4.3252 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6709 loss: 0.6709 2022/08/01 20:51:44 - mmengine - INFO - Epoch(train) [81][260/940] lr: 1.0000e-04 eta: 4:38:00 time: 0.9559 data_time: 0.0381 memory: 21548 grad_norm: 4.5034 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7096 loss: 0.7096 2022/08/01 20:52:00 - mmengine - INFO - Epoch(train) [81][280/940] lr: 1.0000e-04 eta: 4:37:41 time: 0.8271 data_time: 0.0536 memory: 21548 grad_norm: 4.5035 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7427 loss: 0.7427 2022/08/01 20:52:20 - mmengine - INFO - Epoch(train) [81][300/940] lr: 1.0000e-04 eta: 4:37:24 time: 0.9720 data_time: 0.0373 memory: 21548 grad_norm: 4.5810 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8449 loss: 0.8449 2022/08/01 20:52:35 - mmengine - INFO - Epoch(train) [81][320/940] lr: 1.0000e-04 eta: 4:37:05 time: 0.7591 data_time: 0.0383 memory: 21548 grad_norm: 4.5605 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7482 loss: 0.7482 2022/08/01 20:52:53 - mmengine - INFO - Epoch(train) [81][340/940] lr: 1.0000e-04 eta: 4:36:47 time: 0.9182 data_time: 0.0383 memory: 21548 grad_norm: 4.5706 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7819 loss: 0.7819 2022/08/01 20:53:10 - mmengine - INFO - Epoch(train) [81][360/940] lr: 1.0000e-04 eta: 4:36:29 time: 0.8077 data_time: 0.0394 memory: 21548 grad_norm: 4.4833 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7076 loss: 0.7076 2022/08/01 20:53:28 - mmengine - INFO - Epoch(train) [81][380/940] lr: 1.0000e-04 eta: 4:36:11 time: 0.9036 data_time: 0.0385 memory: 21548 grad_norm: 4.5260 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7660 loss: 0.7660 2022/08/01 20:53:42 - mmengine - INFO - Epoch(train) [81][400/940] lr: 1.0000e-04 eta: 4:35:52 time: 0.7030 data_time: 0.0405 memory: 21548 grad_norm: 4.4286 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7551 loss: 0.7551 2022/08/01 20:54:01 - mmengine - INFO - Epoch(train) [81][420/940] lr: 1.0000e-04 eta: 4:35:34 time: 0.9723 data_time: 0.0323 memory: 21548 grad_norm: 4.5165 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7338 loss: 0.7338 2022/08/01 20:54:18 - mmengine - INFO - Epoch(train) [81][440/940] lr: 1.0000e-04 eta: 4:35:16 time: 0.8522 data_time: 0.0529 memory: 21548 grad_norm: 4.3208 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7468 loss: 0.7468 2022/08/01 20:54:36 - mmengine - INFO - Epoch(train) [81][460/940] lr: 1.0000e-04 eta: 4:34:58 time: 0.9064 data_time: 0.0330 memory: 21548 grad_norm: 4.5543 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7916 loss: 0.7916 2022/08/01 20:55:10 - mmengine - INFO - Epoch(train) [81][480/940] lr: 1.0000e-04 eta: 4:34:44 time: 1.6782 data_time: 0.2538 memory: 21548 grad_norm: 4.5144 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7859 loss: 0.7859 2022/08/01 20:55:26 - mmengine - INFO - Epoch(train) [81][500/940] lr: 1.0000e-04 eta: 4:34:25 time: 0.7811 data_time: 0.1995 memory: 21548 grad_norm: 4.5524 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7376 loss: 0.7376 2022/08/01 20:55:45 - mmengine - INFO - Epoch(train) [81][520/940] lr: 1.0000e-04 eta: 4:34:08 time: 0.9527 data_time: 0.1591 memory: 21548 grad_norm: 4.6404 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9175 loss: 0.9175 2022/08/01 20:56:01 - mmengine - INFO - Epoch(train) [81][540/940] lr: 1.0000e-04 eta: 4:33:49 time: 0.8195 data_time: 0.0499 memory: 21548 grad_norm: 4.5226 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7744 loss: 0.7744 2022/08/01 20:56:30 - mmengine - INFO - Epoch(train) [81][560/940] lr: 1.0000e-04 eta: 4:33:34 time: 1.4650 data_time: 0.4926 memory: 21548 grad_norm: 4.5658 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7675 loss: 0.7675 2022/08/01 20:56:47 - mmengine - INFO - Epoch(train) [81][580/940] lr: 1.0000e-04 eta: 4:33:16 time: 0.8326 data_time: 0.0227 memory: 21548 grad_norm: 4.5933 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7818 loss: 0.7818 2022/08/01 20:57:16 - mmengine - INFO - Epoch(train) [81][600/940] lr: 1.0000e-04 eta: 4:33:00 time: 1.4625 data_time: 0.0320 memory: 21548 grad_norm: 4.5700 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7553 loss: 0.7553 2022/08/01 20:57:41 - mmengine - INFO - Epoch(train) [81][620/940] lr: 1.0000e-04 eta: 4:32:44 time: 1.2440 data_time: 0.0269 memory: 21548 grad_norm: 4.5955 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.8327 loss: 0.8327 2022/08/01 20:58:05 - mmengine - INFO - Epoch(train) [81][640/940] lr: 1.0000e-04 eta: 4:32:27 time: 1.2086 data_time: 0.0283 memory: 21548 grad_norm: 4.5261 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8466 loss: 0.8466 2022/08/01 20:58:36 - mmengine - INFO - Epoch(train) [81][660/940] lr: 1.0000e-04 eta: 4:32:12 time: 1.5129 data_time: 0.0646 memory: 21548 grad_norm: 4.6303 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7085 loss: 0.7085 2022/08/01 20:59:02 - mmengine - INFO - Epoch(train) [81][680/940] lr: 1.0000e-04 eta: 4:31:56 time: 1.3109 data_time: 0.2683 memory: 21548 grad_norm: 4.5121 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5557 loss: 0.5557 2022/08/01 20:59:18 - mmengine - INFO - Epoch(train) [81][700/940] lr: 1.0000e-04 eta: 4:31:38 time: 0.8243 data_time: 0.2467 memory: 21548 grad_norm: 4.5896 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7341 loss: 0.7341 2022/08/01 20:59:36 - mmengine - INFO - Epoch(train) [81][720/940] lr: 1.0000e-04 eta: 4:31:20 time: 0.8981 data_time: 0.3935 memory: 21548 grad_norm: 4.6563 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8637 loss: 0.8637 2022/08/01 20:59:53 - mmengine - INFO - Epoch(train) [81][740/940] lr: 1.0000e-04 eta: 4:31:01 time: 0.8170 data_time: 0.3852 memory: 21548 grad_norm: 4.5540 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7924 loss: 0.7924 2022/08/01 21:00:12 - mmengine - INFO - Epoch(train) [81][760/940] lr: 1.0000e-04 eta: 4:30:44 time: 0.9715 data_time: 0.5254 memory: 21548 grad_norm: 4.4223 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.6619 loss: 0.6619 2022/08/01 21:00:27 - mmengine - INFO - Epoch(train) [81][780/940] lr: 1.0000e-04 eta: 4:30:25 time: 0.7433 data_time: 0.3168 memory: 21548 grad_norm: 4.4306 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7522 loss: 0.7522 2022/08/01 21:00:46 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 21:00:46 - mmengine - INFO - Epoch(train) [81][800/940] lr: 1.0000e-04 eta: 4:30:07 time: 0.9357 data_time: 0.4757 memory: 21548 grad_norm: 4.5453 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8138 loss: 0.8138 2022/08/01 21:01:02 - mmengine - INFO - Epoch(train) [81][820/940] lr: 1.0000e-04 eta: 4:29:49 time: 0.8005 data_time: 0.3531 memory: 21548 grad_norm: 4.5623 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7757 loss: 0.7757 2022/08/01 21:01:20 - mmengine - INFO - Epoch(train) [81][840/940] lr: 1.0000e-04 eta: 4:29:31 time: 0.9161 data_time: 0.4737 memory: 21548 grad_norm: 4.4844 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6698 loss: 0.6698 2022/08/01 21:01:34 - mmengine - INFO - Epoch(train) [81][860/940] lr: 1.0000e-04 eta: 4:29:12 time: 0.7246 data_time: 0.2598 memory: 21548 grad_norm: 4.5394 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7429 loss: 0.7429 2022/08/01 21:01:53 - mmengine - INFO - Epoch(train) [81][880/940] lr: 1.0000e-04 eta: 4:28:54 time: 0.9090 data_time: 0.1141 memory: 21548 grad_norm: 4.5483 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.7435 loss: 0.7435 2022/08/01 21:02:08 - mmengine - INFO - Epoch(train) [81][900/940] lr: 1.0000e-04 eta: 4:28:35 time: 0.7810 data_time: 0.0312 memory: 21548 grad_norm: 4.4583 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7119 loss: 0.7119 2022/08/01 21:02:26 - mmengine - INFO - Epoch(train) [81][920/940] lr: 1.0000e-04 eta: 4:28:17 time: 0.9001 data_time: 0.0610 memory: 21548 grad_norm: 4.5249 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8163 loss: 0.8163 2022/08/01 21:02:40 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 21:02:40 - mmengine - INFO - Epoch(train) [81][940/940] lr: 1.0000e-04 eta: 4:27:58 time: 0.6849 data_time: 0.0255 memory: 21548 grad_norm: 4.8454 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.7389 loss: 0.7389 2022/08/01 21:02:40 - mmengine - INFO - Saving checkpoint at 81 epochs 2022/08/01 21:03:03 - mmengine - INFO - Epoch(val) [81][20/78] eta: 0:00:59 time: 1.0236 data_time: 0.9019 memory: 3271 2022/08/01 21:03:17 - mmengine - INFO - Epoch(val) [81][40/78] eta: 0:00:27 time: 0.7182 data_time: 0.5903 memory: 3271 2022/08/01 21:03:36 - mmengine - INFO - Epoch(val) [81][60/78] eta: 0:00:16 time: 0.9442 data_time: 0.8207 memory: 3271 2022/08/01 21:03:50 - mmengine - INFO - Epoch(val) [81][78/78] acc/top1: 0.7173 acc/top5: 0.8996 acc/mean1: 0.7172 2022/08/01 21:04:13 - mmengine - INFO - Epoch(train) [82][20/940] lr: 1.0000e-04 eta: 4:27:41 time: 1.1365 data_time: 0.5362 memory: 21548 grad_norm: 4.5061 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7399 loss: 0.7399 2022/08/01 21:04:28 - mmengine - INFO - Epoch(train) [82][40/940] lr: 1.0000e-04 eta: 4:27:23 time: 0.7589 data_time: 0.3166 memory: 21548 grad_norm: 4.5388 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7261 loss: 0.7261 2022/08/01 21:04:46 - mmengine - INFO - Epoch(train) [82][60/940] lr: 1.0000e-04 eta: 4:27:05 time: 0.9223 data_time: 0.4265 memory: 21548 grad_norm: 4.5235 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7157 loss: 0.7157 2022/08/01 21:05:01 - mmengine - INFO - Epoch(train) [82][80/940] lr: 1.0000e-04 eta: 4:26:46 time: 0.7531 data_time: 0.2337 memory: 21548 grad_norm: 4.5268 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7741 loss: 0.7741 2022/08/01 21:05:20 - mmengine - INFO - Epoch(train) [82][100/940] lr: 1.0000e-04 eta: 4:26:28 time: 0.9144 data_time: 0.2716 memory: 21548 grad_norm: 4.4611 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7870 loss: 0.7870 2022/08/01 21:05:35 - mmengine - INFO - Epoch(train) [82][120/940] lr: 1.0000e-04 eta: 4:26:10 time: 0.7899 data_time: 0.1201 memory: 21548 grad_norm: 4.5690 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7895 loss: 0.7895 2022/08/01 21:05:54 - mmengine - INFO - Epoch(train) [82][140/940] lr: 1.0000e-04 eta: 4:25:52 time: 0.9247 data_time: 0.2023 memory: 21548 grad_norm: 4.5362 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7860 loss: 0.7860 2022/08/01 21:06:10 - mmengine - INFO - Epoch(train) [82][160/940] lr: 1.0000e-04 eta: 4:25:33 time: 0.7900 data_time: 0.1594 memory: 21548 grad_norm: 4.5678 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7925 loss: 0.7925 2022/08/01 21:06:31 - mmengine - INFO - Epoch(train) [82][180/940] lr: 1.0000e-04 eta: 4:25:16 time: 1.0690 data_time: 0.2800 memory: 21548 grad_norm: 4.3885 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7089 loss: 0.7089 2022/08/01 21:06:48 - mmengine - INFO - Epoch(train) [82][200/940] lr: 1.0000e-04 eta: 4:24:58 time: 0.8286 data_time: 0.0361 memory: 21548 grad_norm: 4.4860 top1_acc: 0.8438 top5_acc: 0.8438 loss_cls: 0.7077 loss: 0.7077 2022/08/01 21:07:05 - mmengine - INFO - Epoch(train) [82][220/940] lr: 1.0000e-04 eta: 4:24:40 time: 0.8648 data_time: 0.0426 memory: 21548 grad_norm: 4.5179 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8679 loss: 0.8679 2022/08/01 21:07:22 - mmengine - INFO - Epoch(train) [82][240/940] lr: 1.0000e-04 eta: 4:24:21 time: 0.8438 data_time: 0.0340 memory: 21548 grad_norm: 4.6134 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8340 loss: 0.8340 2022/08/01 21:07:39 - mmengine - INFO - Epoch(train) [82][260/940] lr: 1.0000e-04 eta: 4:24:03 time: 0.8641 data_time: 0.0384 memory: 21548 grad_norm: 4.6141 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8999 loss: 0.8999 2022/08/01 21:07:55 - mmengine - INFO - Epoch(train) [82][280/940] lr: 1.0000e-04 eta: 4:23:45 time: 0.7758 data_time: 0.0746 memory: 21548 grad_norm: 4.4565 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8538 loss: 0.8538 2022/08/01 21:08:14 - mmengine - INFO - Epoch(train) [82][300/940] lr: 1.0000e-04 eta: 4:23:27 time: 0.9618 data_time: 0.1505 memory: 21548 grad_norm: 4.5412 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7072 loss: 0.7072 2022/08/01 21:08:30 - mmengine - INFO - Epoch(train) [82][320/940] lr: 1.0000e-04 eta: 4:23:08 time: 0.7858 data_time: 0.0347 memory: 21548 grad_norm: 4.4391 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7527 loss: 0.7527 2022/08/01 21:08:48 - mmengine - INFO - Epoch(train) [82][340/940] lr: 1.0000e-04 eta: 4:22:50 time: 0.9236 data_time: 0.0504 memory: 21548 grad_norm: 4.6166 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7968 loss: 0.7968 2022/08/01 21:09:03 - mmengine - INFO - Epoch(train) [82][360/940] lr: 1.0000e-04 eta: 4:22:32 time: 0.7555 data_time: 0.0413 memory: 21548 grad_norm: 4.4278 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7411 loss: 0.7411 2022/08/01 21:09:22 - mmengine - INFO - Epoch(train) [82][380/940] lr: 1.0000e-04 eta: 4:22:14 time: 0.9280 data_time: 0.0400 memory: 21548 grad_norm: 4.5987 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7189 loss: 0.7189 2022/08/01 21:09:38 - mmengine - INFO - Epoch(train) [82][400/940] lr: 1.0000e-04 eta: 4:21:55 time: 0.8010 data_time: 0.0424 memory: 21548 grad_norm: 4.5789 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7333 loss: 0.7333 2022/08/01 21:09:56 - mmengine - INFO - Epoch(train) [82][420/940] lr: 1.0000e-04 eta: 4:21:38 time: 0.9245 data_time: 0.0395 memory: 21548 grad_norm: 4.4931 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7118 loss: 0.7118 2022/08/01 21:10:13 - mmengine - INFO - Epoch(train) [82][440/940] lr: 1.0000e-04 eta: 4:21:19 time: 0.8519 data_time: 0.0387 memory: 21548 grad_norm: 4.5895 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7381 loss: 0.7381 2022/08/01 21:10:30 - mmengine - INFO - Epoch(train) [82][460/940] lr: 1.0000e-04 eta: 4:21:01 time: 0.8251 data_time: 0.0410 memory: 21548 grad_norm: 4.5015 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7120 loss: 0.7120 2022/08/01 21:10:49 - mmengine - INFO - Epoch(train) [82][480/940] lr: 1.0000e-04 eta: 4:20:43 time: 0.9488 data_time: 0.0381 memory: 21548 grad_norm: 4.3396 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6819 loss: 0.6819 2022/08/01 21:11:04 - mmengine - INFO - Epoch(train) [82][500/940] lr: 1.0000e-04 eta: 4:20:25 time: 0.7646 data_time: 0.0387 memory: 21548 grad_norm: 4.4703 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.6998 loss: 0.6998 2022/08/01 21:11:24 - mmengine - INFO - Epoch(train) [82][520/940] lr: 1.0000e-04 eta: 4:20:07 time: 0.9612 data_time: 0.0415 memory: 21548 grad_norm: 4.5057 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8121 loss: 0.8121 2022/08/01 21:11:39 - mmengine - INFO - Epoch(train) [82][540/940] lr: 1.0000e-04 eta: 4:19:48 time: 0.7912 data_time: 0.0426 memory: 21548 grad_norm: 4.5554 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7901 loss: 0.7901 2022/08/01 21:11:57 - mmengine - INFO - Epoch(train) [82][560/940] lr: 1.0000e-04 eta: 4:19:30 time: 0.8688 data_time: 0.0367 memory: 21548 grad_norm: 4.5530 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8740 loss: 0.8740 2022/08/01 21:12:12 - mmengine - INFO - Epoch(train) [82][580/940] lr: 1.0000e-04 eta: 4:19:12 time: 0.7889 data_time: 0.0405 memory: 21548 grad_norm: 4.4607 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7051 loss: 0.7051 2022/08/01 21:12:32 - mmengine - INFO - Epoch(train) [82][600/940] lr: 1.0000e-04 eta: 4:18:54 time: 0.9569 data_time: 0.0338 memory: 21548 grad_norm: 4.5070 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6791 loss: 0.6791 2022/08/01 21:12:47 - mmengine - INFO - Epoch(train) [82][620/940] lr: 1.0000e-04 eta: 4:18:35 time: 0.7770 data_time: 0.0479 memory: 21548 grad_norm: 4.5405 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6904 loss: 0.6904 2022/08/01 21:13:06 - mmengine - INFO - Epoch(train) [82][640/940] lr: 1.0000e-04 eta: 4:18:18 time: 0.9349 data_time: 0.0350 memory: 21548 grad_norm: 4.5382 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7447 loss: 0.7447 2022/08/01 21:13:23 - mmengine - INFO - Epoch(train) [82][660/940] lr: 1.0000e-04 eta: 4:17:59 time: 0.8362 data_time: 0.0402 memory: 21548 grad_norm: 4.4779 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7903 loss: 0.7903 2022/08/01 21:13:41 - mmengine - INFO - Epoch(train) [82][680/940] lr: 1.0000e-04 eta: 4:17:41 time: 0.9214 data_time: 0.0308 memory: 21548 grad_norm: 4.3695 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.6417 loss: 0.6417 2022/08/01 21:13:55 - mmengine - INFO - Epoch(train) [82][700/940] lr: 1.0000e-04 eta: 4:17:23 time: 0.7221 data_time: 0.0382 memory: 21548 grad_norm: 4.7096 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7844 loss: 0.7844 2022/08/01 21:14:14 - mmengine - INFO - Epoch(train) [82][720/940] lr: 1.0000e-04 eta: 4:17:05 time: 0.9292 data_time: 0.0570 memory: 21548 grad_norm: 4.5893 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7927 loss: 0.7927 2022/08/01 21:14:31 - mmengine - INFO - Epoch(train) [82][740/940] lr: 1.0000e-04 eta: 4:16:46 time: 0.8292 data_time: 0.0422 memory: 21548 grad_norm: 4.5380 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8587 loss: 0.8587 2022/08/01 21:14:49 - mmengine - INFO - Epoch(train) [82][760/940] lr: 1.0000e-04 eta: 4:16:29 time: 0.9333 data_time: 0.0355 memory: 21548 grad_norm: 4.5100 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7443 loss: 0.7443 2022/08/01 21:15:04 - mmengine - INFO - Epoch(train) [82][780/940] lr: 1.0000e-04 eta: 4:16:10 time: 0.7553 data_time: 0.0368 memory: 21548 grad_norm: 4.5356 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6089 loss: 0.6089 2022/08/01 21:15:23 - mmengine - INFO - Epoch(train) [82][800/940] lr: 1.0000e-04 eta: 4:15:52 time: 0.9066 data_time: 0.0354 memory: 21548 grad_norm: 4.4727 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.7148 loss: 0.7148 2022/08/01 21:15:38 - mmengine - INFO - Epoch(train) [82][820/940] lr: 1.0000e-04 eta: 4:15:33 time: 0.7755 data_time: 0.0448 memory: 21548 grad_norm: 4.4998 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7208 loss: 0.7208 2022/08/01 21:15:56 - mmengine - INFO - Epoch(train) [82][840/940] lr: 1.0000e-04 eta: 4:15:15 time: 0.8884 data_time: 0.0411 memory: 21548 grad_norm: 4.4413 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.7504 loss: 0.7504 2022/08/01 21:16:12 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 21:16:12 - mmengine - INFO - Epoch(train) [82][860/940] lr: 1.0000e-04 eta: 4:14:57 time: 0.8123 data_time: 0.0343 memory: 21548 grad_norm: 4.4730 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7914 loss: 0.7914 2022/08/01 21:16:31 - mmengine - INFO - Epoch(train) [82][880/940] lr: 1.0000e-04 eta: 4:14:39 time: 0.9221 data_time: 0.0427 memory: 21548 grad_norm: 4.4643 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7066 loss: 0.7066 2022/08/01 21:16:48 - mmengine - INFO - Epoch(train) [82][900/940] lr: 1.0000e-04 eta: 4:14:21 time: 0.8549 data_time: 0.0343 memory: 21548 grad_norm: 4.5664 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.7322 loss: 0.7322 2022/08/01 21:17:04 - mmengine - INFO - Epoch(train) [82][920/940] lr: 1.0000e-04 eta: 4:14:03 time: 0.8292 data_time: 0.0426 memory: 21548 grad_norm: 4.5451 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7181 loss: 0.7181 2022/08/01 21:17:20 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 21:17:20 - mmengine - INFO - Epoch(train) [82][940/940] lr: 1.0000e-04 eta: 4:13:44 time: 0.7903 data_time: 0.0332 memory: 21548 grad_norm: 4.8695 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.7172 loss: 0.7172 2022/08/01 21:17:40 - mmengine - INFO - Epoch(val) [82][20/78] eta: 0:00:58 time: 1.0070 data_time: 0.8806 memory: 3271 2022/08/01 21:17:55 - mmengine - INFO - Epoch(val) [82][40/78] eta: 0:00:27 time: 0.7108 data_time: 0.5870 memory: 3271 2022/08/01 21:18:13 - mmengine - INFO - Epoch(val) [82][60/78] eta: 0:00:16 time: 0.9408 data_time: 0.7976 memory: 3271 2022/08/01 21:18:29 - mmengine - INFO - Epoch(val) [82][78/78] acc/top1: 0.7176 acc/top5: 0.9000 acc/mean1: 0.7175 2022/08/01 21:18:29 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_62.pth is removed 2022/08/01 21:18:30 - mmengine - INFO - The best checkpoint with 0.7176 acc/top1 at 83 epoch is saved to best_acc/top1_epoch_83.pth. 2022/08/01 21:18:52 - mmengine - INFO - Epoch(train) [83][20/940] lr: 1.0000e-04 eta: 4:13:27 time: 1.0842 data_time: 0.6479 memory: 21548 grad_norm: 4.5298 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7246 loss: 0.7246 2022/08/01 21:19:07 - mmengine - INFO - Epoch(train) [83][40/940] lr: 1.0000e-04 eta: 4:13:08 time: 0.7641 data_time: 0.2941 memory: 21548 grad_norm: 4.6463 top1_acc: 0.7500 top5_acc: 0.7812 loss_cls: 0.8201 loss: 0.8201 2022/08/01 21:19:26 - mmengine - INFO - Epoch(train) [83][60/940] lr: 1.0000e-04 eta: 4:12:50 time: 0.9241 data_time: 0.4016 memory: 21548 grad_norm: 4.4285 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6665 loss: 0.6665 2022/08/01 21:19:41 - mmengine - INFO - Epoch(train) [83][80/940] lr: 1.0000e-04 eta: 4:12:32 time: 0.7633 data_time: 0.2763 memory: 21548 grad_norm: 4.5975 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6886 loss: 0.6886 2022/08/01 21:20:00 - mmengine - INFO - Epoch(train) [83][100/940] lr: 1.0000e-04 eta: 4:12:14 time: 0.9601 data_time: 0.2896 memory: 21548 grad_norm: 4.5782 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.7330 loss: 0.7330 2022/08/01 21:20:16 - mmengine - INFO - Epoch(train) [83][120/940] lr: 1.0000e-04 eta: 4:11:56 time: 0.7661 data_time: 0.1197 memory: 21548 grad_norm: 4.5179 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8830 loss: 0.8830 2022/08/01 21:20:34 - mmengine - INFO - Epoch(train) [83][140/940] lr: 1.0000e-04 eta: 4:11:38 time: 0.9376 data_time: 0.2485 memory: 21548 grad_norm: 4.5072 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6933 loss: 0.6933 2022/08/01 21:20:50 - mmengine - INFO - Epoch(train) [83][160/940] lr: 1.0000e-04 eta: 4:11:19 time: 0.7615 data_time: 0.2139 memory: 21548 grad_norm: 4.4968 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7978 loss: 0.7978 2022/08/01 21:21:09 - mmengine - INFO - Epoch(train) [83][180/940] lr: 1.0000e-04 eta: 4:11:01 time: 0.9842 data_time: 0.2422 memory: 21548 grad_norm: 4.4057 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7301 loss: 0.7301 2022/08/01 21:21:28 - mmengine - INFO - Epoch(train) [83][200/940] lr: 1.0000e-04 eta: 4:10:44 time: 0.9122 data_time: 0.1953 memory: 21548 grad_norm: 4.7193 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7833 loss: 0.7833 2022/08/01 21:21:48 - mmengine - INFO - Epoch(train) [83][220/940] lr: 1.0000e-04 eta: 4:10:26 time: 1.0085 data_time: 0.0296 memory: 21548 grad_norm: 4.6260 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7685 loss: 0.7685 2022/08/01 21:22:04 - mmengine - INFO - Epoch(train) [83][240/940] lr: 1.0000e-04 eta: 4:10:08 time: 0.8145 data_time: 0.0370 memory: 21548 grad_norm: 4.5873 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8359 loss: 0.8359 2022/08/01 21:22:21 - mmengine - INFO - Epoch(train) [83][260/940] lr: 1.0000e-04 eta: 4:09:49 time: 0.8589 data_time: 0.0445 memory: 21548 grad_norm: 4.6448 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7539 loss: 0.7539 2022/08/01 21:22:37 - mmengine - INFO - Epoch(train) [83][280/940] lr: 1.0000e-04 eta: 4:09:31 time: 0.7657 data_time: 0.0750 memory: 21548 grad_norm: 4.4732 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7649 loss: 0.7649 2022/08/01 21:22:56 - mmengine - INFO - Epoch(train) [83][300/940] lr: 1.0000e-04 eta: 4:09:13 time: 0.9690 data_time: 0.1019 memory: 21548 grad_norm: 4.5211 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7437 loss: 0.7437 2022/08/01 21:23:12 - mmengine - INFO - Epoch(train) [83][320/940] lr: 1.0000e-04 eta: 4:08:55 time: 0.8031 data_time: 0.1257 memory: 21548 grad_norm: 4.3701 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7455 loss: 0.7455 2022/08/01 21:23:30 - mmengine - INFO - Epoch(train) [83][340/940] lr: 1.0000e-04 eta: 4:08:37 time: 0.9153 data_time: 0.0691 memory: 21548 grad_norm: 4.4478 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7486 loss: 0.7486 2022/08/01 21:23:45 - mmengine - INFO - Epoch(train) [83][360/940] lr: 1.0000e-04 eta: 4:08:18 time: 0.7411 data_time: 0.0727 memory: 21548 grad_norm: 4.5415 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6949 loss: 0.6949 2022/08/01 21:24:03 - mmengine - INFO - Epoch(train) [83][380/940] lr: 1.0000e-04 eta: 4:08:00 time: 0.8960 data_time: 0.1731 memory: 21548 grad_norm: 4.4138 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7191 loss: 0.7191 2022/08/01 21:24:19 - mmengine - INFO - Epoch(train) [83][400/940] lr: 1.0000e-04 eta: 4:07:42 time: 0.7746 data_time: 0.1519 memory: 21548 grad_norm: 4.6293 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7665 loss: 0.7665 2022/08/01 21:24:37 - mmengine - INFO - Epoch(train) [83][420/940] lr: 1.0000e-04 eta: 4:07:24 time: 0.9118 data_time: 0.0662 memory: 21548 grad_norm: 4.5236 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7495 loss: 0.7495 2022/08/01 21:24:54 - mmengine - INFO - Epoch(train) [83][440/940] lr: 1.0000e-04 eta: 4:07:05 time: 0.8365 data_time: 0.0624 memory: 21548 grad_norm: 4.5067 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6719 loss: 0.6719 2022/08/01 21:25:12 - mmengine - INFO - Epoch(train) [83][460/940] lr: 1.0000e-04 eta: 4:06:48 time: 0.9301 data_time: 0.0382 memory: 21548 grad_norm: 4.5003 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7113 loss: 0.7113 2022/08/01 21:25:29 - mmengine - INFO - Epoch(train) [83][480/940] lr: 1.0000e-04 eta: 4:06:29 time: 0.8520 data_time: 0.0417 memory: 21548 grad_norm: 4.5085 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7606 loss: 0.7606 2022/08/01 21:25:47 - mmengine - INFO - Epoch(train) [83][500/940] lr: 1.0000e-04 eta: 4:06:11 time: 0.8883 data_time: 0.0360 memory: 21548 grad_norm: 4.6149 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7609 loss: 0.7609 2022/08/01 21:26:03 - mmengine - INFO - Epoch(train) [83][520/940] lr: 1.0000e-04 eta: 4:05:53 time: 0.8068 data_time: 0.0364 memory: 21548 grad_norm: 4.5431 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.7438 loss: 0.7438 2022/08/01 21:26:20 - mmengine - INFO - Epoch(train) [83][540/940] lr: 1.0000e-04 eta: 4:05:35 time: 0.8457 data_time: 0.0580 memory: 21548 grad_norm: 4.6669 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7865 loss: 0.7865 2022/08/01 21:26:37 - mmengine - INFO - Epoch(train) [83][560/940] lr: 1.0000e-04 eta: 4:05:17 time: 0.8557 data_time: 0.0336 memory: 21548 grad_norm: 4.5568 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7187 loss: 0.7187 2022/08/01 21:26:55 - mmengine - INFO - Epoch(train) [83][580/940] lr: 1.0000e-04 eta: 4:04:59 time: 0.9119 data_time: 0.0370 memory: 21548 grad_norm: 4.4920 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8289 loss: 0.8289 2022/08/01 21:27:12 - mmengine - INFO - Epoch(train) [83][600/940] lr: 1.0000e-04 eta: 4:04:40 time: 0.8057 data_time: 0.0388 memory: 21548 grad_norm: 4.4859 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7693 loss: 0.7693 2022/08/01 21:27:31 - mmengine - INFO - Epoch(train) [83][620/940] lr: 1.0000e-04 eta: 4:04:23 time: 0.9532 data_time: 0.1234 memory: 21548 grad_norm: 4.3935 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7160 loss: 0.7160 2022/08/01 21:27:55 - mmengine - INFO - Epoch(train) [83][640/940] lr: 1.0000e-04 eta: 4:04:06 time: 1.2354 data_time: 0.1067 memory: 21548 grad_norm: 4.5069 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7205 loss: 0.7205 2022/08/01 21:28:14 - mmengine - INFO - Epoch(train) [83][660/940] lr: 1.0000e-04 eta: 4:03:48 time: 0.9104 data_time: 0.0291 memory: 21548 grad_norm: 4.4081 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7137 loss: 0.7137 2022/08/01 21:28:44 - mmengine - INFO - Epoch(train) [83][680/940] lr: 1.0000e-04 eta: 4:03:33 time: 1.5218 data_time: 0.0295 memory: 21548 grad_norm: 4.3506 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6973 loss: 0.6973 2022/08/01 21:29:10 - mmengine - INFO - Epoch(train) [83][700/940] lr: 1.0000e-04 eta: 4:03:16 time: 1.3102 data_time: 0.0331 memory: 21548 grad_norm: 4.5290 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.7273 loss: 0.7273 2022/08/01 21:29:34 - mmengine - INFO - Epoch(train) [83][720/940] lr: 1.0000e-04 eta: 4:02:59 time: 1.1689 data_time: 0.0323 memory: 21548 grad_norm: 4.4294 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7179 loss: 0.7179 2022/08/01 21:29:49 - mmengine - INFO - Epoch(train) [83][740/940] lr: 1.0000e-04 eta: 4:02:41 time: 0.7697 data_time: 0.0357 memory: 21548 grad_norm: 4.5016 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7279 loss: 0.7279 2022/08/01 21:30:08 - mmengine - INFO - Epoch(train) [83][760/940] lr: 1.0000e-04 eta: 4:02:23 time: 0.9433 data_time: 0.0343 memory: 21548 grad_norm: 4.4505 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8206 loss: 0.8206 2022/08/01 21:30:24 - mmengine - INFO - Epoch(train) [83][780/940] lr: 1.0000e-04 eta: 4:02:05 time: 0.7955 data_time: 0.0370 memory: 21548 grad_norm: 4.4181 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7319 loss: 0.7319 2022/08/01 21:30:42 - mmengine - INFO - Epoch(train) [83][800/940] lr: 1.0000e-04 eta: 4:01:47 time: 0.9096 data_time: 0.0350 memory: 21548 grad_norm: 4.4833 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6645 loss: 0.6645 2022/08/01 21:30:57 - mmengine - INFO - Epoch(train) [83][820/940] lr: 1.0000e-04 eta: 4:01:28 time: 0.7264 data_time: 0.0380 memory: 21548 grad_norm: 4.5870 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7685 loss: 0.7685 2022/08/01 21:31:15 - mmengine - INFO - Epoch(train) [83][840/940] lr: 1.0000e-04 eta: 4:01:10 time: 0.9021 data_time: 0.0400 memory: 21548 grad_norm: 4.6174 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7057 loss: 0.7057 2022/08/01 21:31:31 - mmengine - INFO - Epoch(train) [83][860/940] lr: 1.0000e-04 eta: 4:00:52 time: 0.8287 data_time: 0.0472 memory: 21548 grad_norm: 4.6290 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7355 loss: 0.7355 2022/08/01 21:31:49 - mmengine - INFO - Epoch(train) [83][880/940] lr: 1.0000e-04 eta: 4:00:34 time: 0.8931 data_time: 0.0448 memory: 21548 grad_norm: 4.4452 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7889 loss: 0.7889 2022/08/01 21:32:05 - mmengine - INFO - Epoch(train) [83][900/940] lr: 1.0000e-04 eta: 4:00:15 time: 0.8073 data_time: 0.0390 memory: 21548 grad_norm: 4.5447 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6732 loss: 0.6732 2022/08/01 21:32:24 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 21:32:24 - mmengine - INFO - Epoch(train) [83][920/940] lr: 1.0000e-04 eta: 3:59:58 time: 0.9607 data_time: 0.0382 memory: 21548 grad_norm: 4.3544 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7058 loss: 0.7058 2022/08/01 21:32:38 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 21:32:38 - mmengine - INFO - Epoch(train) [83][940/940] lr: 1.0000e-04 eta: 3:59:39 time: 0.6631 data_time: 0.0260 memory: 21548 grad_norm: 4.7969 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.6877 loss: 0.6877 2022/08/01 21:32:58 - mmengine - INFO - Epoch(val) [83][20/78] eta: 0:00:58 time: 1.0144 data_time: 0.8889 memory: 3271 2022/08/01 21:33:12 - mmengine - INFO - Epoch(val) [83][40/78] eta: 0:00:26 time: 0.7008 data_time: 0.5761 memory: 3271 2022/08/01 21:33:31 - mmengine - INFO - Epoch(val) [83][60/78] eta: 0:00:17 time: 0.9636 data_time: 0.8410 memory: 3271 2022/08/01 21:33:46 - mmengine - INFO - Epoch(val) [83][78/78] acc/top1: 0.7174 acc/top5: 0.8985 acc/mean1: 0.7173 2022/08/01 21:34:09 - mmengine - INFO - Epoch(train) [84][20/940] lr: 1.0000e-04 eta: 3:59:21 time: 1.1187 data_time: 0.5765 memory: 21548 grad_norm: 4.4149 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.7827 loss: 0.7827 2022/08/01 21:34:25 - mmengine - INFO - Epoch(train) [84][40/940] lr: 1.0000e-04 eta: 3:59:03 time: 0.7909 data_time: 0.2637 memory: 21548 grad_norm: 4.4707 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7408 loss: 0.7408 2022/08/01 21:34:44 - mmengine - INFO - Epoch(train) [84][60/940] lr: 1.0000e-04 eta: 3:58:45 time: 0.9856 data_time: 0.3020 memory: 21548 grad_norm: 4.4476 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8058 loss: 0.8058 2022/08/01 21:35:01 - mmengine - INFO - Epoch(train) [84][80/940] lr: 1.0000e-04 eta: 3:58:27 time: 0.8444 data_time: 0.0994 memory: 21548 grad_norm: 4.3935 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7264 loss: 0.7264 2022/08/01 21:35:21 - mmengine - INFO - Epoch(train) [84][100/940] lr: 1.0000e-04 eta: 3:58:10 time: 0.9906 data_time: 0.0429 memory: 21548 grad_norm: 4.6168 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6554 loss: 0.6554 2022/08/01 21:35:36 - mmengine - INFO - Epoch(train) [84][120/940] lr: 1.0000e-04 eta: 3:57:51 time: 0.7238 data_time: 0.0318 memory: 21548 grad_norm: 4.4981 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7120 loss: 0.7120 2022/08/01 21:35:54 - mmengine - INFO - Epoch(train) [84][140/940] lr: 1.0000e-04 eta: 3:57:33 time: 0.9089 data_time: 0.0419 memory: 21548 grad_norm: 4.5315 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6793 loss: 0.6793 2022/08/01 21:36:08 - mmengine - INFO - Epoch(train) [84][160/940] lr: 1.0000e-04 eta: 3:57:14 time: 0.7278 data_time: 0.0422 memory: 21548 grad_norm: 4.4009 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7310 loss: 0.7310 2022/08/01 21:36:26 - mmengine - INFO - Epoch(train) [84][180/940] lr: 1.0000e-04 eta: 3:56:56 time: 0.8951 data_time: 0.0542 memory: 21548 grad_norm: 4.5473 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8335 loss: 0.8335 2022/08/01 21:36:43 - mmengine - INFO - Epoch(train) [84][200/940] lr: 1.0000e-04 eta: 3:56:38 time: 0.8192 data_time: 0.0362 memory: 21548 grad_norm: 4.3989 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7478 loss: 0.7478 2022/08/01 21:37:02 - mmengine - INFO - Epoch(train) [84][220/940] lr: 1.0000e-04 eta: 3:56:20 time: 0.9573 data_time: 0.0364 memory: 21548 grad_norm: 4.4478 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7290 loss: 0.7290 2022/08/01 21:37:18 - mmengine - INFO - Epoch(train) [84][240/940] lr: 1.0000e-04 eta: 3:56:02 time: 0.8200 data_time: 0.0371 memory: 21548 grad_norm: 4.6007 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7290 loss: 0.7290 2022/08/01 21:37:36 - mmengine - INFO - Epoch(train) [84][260/940] lr: 1.0000e-04 eta: 3:55:44 time: 0.9061 data_time: 0.0330 memory: 21548 grad_norm: 4.4818 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7510 loss: 0.7510 2022/08/01 21:37:53 - mmengine - INFO - Epoch(train) [84][280/940] lr: 1.0000e-04 eta: 3:55:25 time: 0.8048 data_time: 0.0402 memory: 21548 grad_norm: 4.4946 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.7252 loss: 0.7252 2022/08/01 21:38:12 - mmengine - INFO - Epoch(train) [84][300/940] lr: 1.0000e-04 eta: 3:55:08 time: 0.9599 data_time: 0.0491 memory: 21548 grad_norm: 4.5455 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7291 loss: 0.7291 2022/08/01 21:38:28 - mmengine - INFO - Epoch(train) [84][320/940] lr: 1.0000e-04 eta: 3:54:49 time: 0.8203 data_time: 0.0387 memory: 21548 grad_norm: 4.4899 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7119 loss: 0.7119 2022/08/01 21:38:46 - mmengine - INFO - Epoch(train) [84][340/940] lr: 1.0000e-04 eta: 3:54:31 time: 0.9047 data_time: 0.0376 memory: 21548 grad_norm: 4.5213 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7196 loss: 0.7196 2022/08/01 21:39:04 - mmengine - INFO - Epoch(train) [84][360/940] lr: 1.0000e-04 eta: 3:54:13 time: 0.8929 data_time: 0.0394 memory: 21548 grad_norm: 4.4587 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.8230 loss: 0.8230 2022/08/01 21:39:23 - mmengine - INFO - Epoch(train) [84][380/940] lr: 1.0000e-04 eta: 3:53:55 time: 0.9334 data_time: 0.0351 memory: 21548 grad_norm: 4.4976 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7679 loss: 0.7679 2022/08/01 21:39:38 - mmengine - INFO - Epoch(train) [84][400/940] lr: 1.0000e-04 eta: 3:53:37 time: 0.7393 data_time: 0.0397 memory: 21548 grad_norm: 4.5378 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7692 loss: 0.7692 2022/08/01 21:39:56 - mmengine - INFO - Epoch(train) [84][420/940] lr: 1.0000e-04 eta: 3:53:19 time: 0.9083 data_time: 0.0345 memory: 21548 grad_norm: 4.5317 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7019 loss: 0.7019 2022/08/01 21:40:11 - mmengine - INFO - Epoch(train) [84][440/940] lr: 1.0000e-04 eta: 3:53:00 time: 0.7792 data_time: 0.0398 memory: 21548 grad_norm: 4.5729 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7855 loss: 0.7855 2022/08/01 21:40:30 - mmengine - INFO - Epoch(train) [84][460/940] lr: 1.0000e-04 eta: 3:52:42 time: 0.9102 data_time: 0.0476 memory: 21548 grad_norm: 4.5226 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7524 loss: 0.7524 2022/08/01 21:40:45 - mmengine - INFO - Epoch(train) [84][480/940] lr: 1.0000e-04 eta: 3:52:24 time: 0.7875 data_time: 0.0346 memory: 21548 grad_norm: 4.4688 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7522 loss: 0.7522 2022/08/01 21:41:03 - mmengine - INFO - Epoch(train) [84][500/940] lr: 1.0000e-04 eta: 3:52:06 time: 0.9093 data_time: 0.0371 memory: 21548 grad_norm: 4.5455 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7864 loss: 0.7864 2022/08/01 21:41:22 - mmengine - INFO - Epoch(train) [84][520/940] lr: 1.0000e-04 eta: 3:51:48 time: 0.9484 data_time: 0.0402 memory: 21548 grad_norm: 4.5606 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7654 loss: 0.7654 2022/08/01 21:41:38 - mmengine - INFO - Epoch(train) [84][540/940] lr: 1.0000e-04 eta: 3:51:30 time: 0.7536 data_time: 0.0345 memory: 21548 grad_norm: 4.6372 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7980 loss: 0.7980 2022/08/01 21:41:55 - mmengine - INFO - Epoch(train) [84][560/940] lr: 1.0000e-04 eta: 3:51:12 time: 0.8861 data_time: 0.0443 memory: 21548 grad_norm: 4.6314 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7235 loss: 0.7235 2022/08/01 21:42:11 - mmengine - INFO - Epoch(train) [84][580/940] lr: 1.0000e-04 eta: 3:50:53 time: 0.8085 data_time: 0.0510 memory: 21548 grad_norm: 4.5131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7509 loss: 0.7509 2022/08/01 21:42:29 - mmengine - INFO - Epoch(train) [84][600/940] lr: 1.0000e-04 eta: 3:50:35 time: 0.9002 data_time: 0.0398 memory: 21548 grad_norm: 4.4687 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7518 loss: 0.7518 2022/08/01 21:42:46 - mmengine - INFO - Epoch(train) [84][620/940] lr: 1.0000e-04 eta: 3:50:17 time: 0.8125 data_time: 0.0389 memory: 21548 grad_norm: 4.4251 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7079 loss: 0.7079 2022/08/01 21:43:03 - mmengine - INFO - Epoch(train) [84][640/940] lr: 1.0000e-04 eta: 3:49:59 time: 0.8638 data_time: 0.0390 memory: 21548 grad_norm: 4.5323 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8353 loss: 0.8353 2022/08/01 21:43:19 - mmengine - INFO - Epoch(train) [84][660/940] lr: 1.0000e-04 eta: 3:49:41 time: 0.8203 data_time: 0.0373 memory: 21548 grad_norm: 4.5760 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7969 loss: 0.7969 2022/08/01 21:43:38 - mmengine - INFO - Epoch(train) [84][680/940] lr: 1.0000e-04 eta: 3:49:23 time: 0.9324 data_time: 0.0365 memory: 21548 grad_norm: 4.4306 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7434 loss: 0.7434 2022/08/01 21:43:54 - mmengine - INFO - Epoch(train) [84][700/940] lr: 1.0000e-04 eta: 3:49:04 time: 0.7886 data_time: 0.0446 memory: 21548 grad_norm: 4.4640 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.7317 loss: 0.7317 2022/08/01 21:44:13 - mmengine - INFO - Epoch(train) [84][720/940] lr: 1.0000e-04 eta: 3:48:47 time: 0.9697 data_time: 0.0466 memory: 21548 grad_norm: 4.5176 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7226 loss: 0.7226 2022/08/01 21:44:28 - mmengine - INFO - Epoch(train) [84][740/940] lr: 1.0000e-04 eta: 3:48:28 time: 0.7600 data_time: 0.0338 memory: 21548 grad_norm: 4.5033 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6845 loss: 0.6845 2022/08/01 21:44:46 - mmengine - INFO - Epoch(train) [84][760/940] lr: 1.0000e-04 eta: 3:48:10 time: 0.8968 data_time: 0.0344 memory: 21548 grad_norm: 4.5671 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8168 loss: 0.8168 2022/08/01 21:45:03 - mmengine - INFO - Epoch(train) [84][780/940] lr: 1.0000e-04 eta: 3:47:52 time: 0.8281 data_time: 0.0362 memory: 21548 grad_norm: 4.4907 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8482 loss: 0.8482 2022/08/01 21:45:20 - mmengine - INFO - Epoch(train) [84][800/940] lr: 1.0000e-04 eta: 3:47:34 time: 0.8464 data_time: 0.0401 memory: 21548 grad_norm: 4.6179 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9193 loss: 0.9193 2022/08/01 21:45:38 - mmengine - INFO - Epoch(train) [84][820/940] lr: 1.0000e-04 eta: 3:47:15 time: 0.8831 data_time: 0.0321 memory: 21548 grad_norm: 4.5463 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7429 loss: 0.7429 2022/08/01 21:45:56 - mmengine - INFO - Epoch(train) [84][840/940] lr: 1.0000e-04 eta: 3:46:58 time: 0.9040 data_time: 0.0471 memory: 21548 grad_norm: 4.5035 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7517 loss: 0.7517 2022/08/01 21:46:12 - mmengine - INFO - Epoch(train) [84][860/940] lr: 1.0000e-04 eta: 3:46:39 time: 0.8254 data_time: 0.0318 memory: 21548 grad_norm: 4.5829 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8222 loss: 0.8222 2022/08/01 21:46:31 - mmengine - INFO - Epoch(train) [84][880/940] lr: 1.0000e-04 eta: 3:46:21 time: 0.9500 data_time: 0.0372 memory: 21548 grad_norm: 4.4034 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7510 loss: 0.7510 2022/08/01 21:46:47 - mmengine - INFO - Epoch(train) [84][900/940] lr: 1.0000e-04 eta: 3:46:03 time: 0.8081 data_time: 0.0336 memory: 21548 grad_norm: 4.5964 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7016 loss: 0.7016 2022/08/01 21:47:06 - mmengine - INFO - Epoch(train) [84][920/940] lr: 1.0000e-04 eta: 3:45:45 time: 0.9298 data_time: 0.0400 memory: 21548 grad_norm: 4.4158 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7172 loss: 0.7172 2022/08/01 21:47:18 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 21:47:18 - mmengine - INFO - Epoch(train) [84][940/940] lr: 1.0000e-04 eta: 3:45:26 time: 0.6026 data_time: 0.0258 memory: 21548 grad_norm: 4.9519 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7173 loss: 0.7173 2022/08/01 21:47:18 - mmengine - INFO - Saving checkpoint at 84 epochs 2022/08/01 21:47:40 - mmengine - INFO - Epoch(val) [84][20/78] eta: 0:01:00 time: 1.0461 data_time: 0.9230 memory: 3271 2022/08/01 21:47:54 - mmengine - INFO - Epoch(val) [84][40/78] eta: 0:00:26 time: 0.6968 data_time: 0.5772 memory: 3271 2022/08/01 21:48:14 - mmengine - INFO - Epoch(val) [84][60/78] eta: 0:00:17 time: 0.9555 data_time: 0.8310 memory: 3271 2022/08/01 21:48:28 - mmengine - INFO - Epoch(val) [84][78/78] acc/top1: 0.7191 acc/top5: 0.8995 acc/mean1: 0.7190 2022/08/01 21:48:28 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_83.pth is removed 2022/08/01 21:48:29 - mmengine - INFO - The best checkpoint with 0.7191 acc/top1 at 85 epoch is saved to best_acc/top1_epoch_85.pth. 2022/08/01 21:48:50 - mmengine - INFO - Epoch(train) [85][20/940] lr: 1.0000e-04 eta: 3:45:09 time: 1.0813 data_time: 0.6648 memory: 21548 grad_norm: 4.3688 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7515 loss: 0.7515 2022/08/01 21:49:05 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 21:49:05 - mmengine - INFO - Epoch(train) [85][40/940] lr: 1.0000e-04 eta: 3:44:50 time: 0.7295 data_time: 0.2778 memory: 21548 grad_norm: 4.4221 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6667 loss: 0.6667 2022/08/01 21:49:24 - mmengine - INFO - Epoch(train) [85][60/940] lr: 1.0000e-04 eta: 3:44:32 time: 0.9514 data_time: 0.2873 memory: 21548 grad_norm: 4.5062 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.6820 loss: 0.6820 2022/08/01 21:49:39 - mmengine - INFO - Epoch(train) [85][80/940] lr: 1.0000e-04 eta: 3:44:14 time: 0.7666 data_time: 0.0774 memory: 21548 grad_norm: 4.4470 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6765 loss: 0.6765 2022/08/01 21:49:58 - mmengine - INFO - Epoch(train) [85][100/940] lr: 1.0000e-04 eta: 3:43:56 time: 0.9438 data_time: 0.1340 memory: 21548 grad_norm: 4.5270 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8035 loss: 0.8035 2022/08/01 21:50:14 - mmengine - INFO - Epoch(train) [85][120/940] lr: 1.0000e-04 eta: 3:43:38 time: 0.8133 data_time: 0.1377 memory: 21548 grad_norm: 4.5875 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7660 loss: 0.7660 2022/08/01 21:50:33 - mmengine - INFO - Epoch(train) [85][140/940] lr: 1.0000e-04 eta: 3:43:20 time: 0.9581 data_time: 0.0483 memory: 21548 grad_norm: 4.5309 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7781 loss: 0.7781 2022/08/01 21:50:50 - mmengine - INFO - Epoch(train) [85][160/940] lr: 1.0000e-04 eta: 3:43:02 time: 0.8441 data_time: 0.0362 memory: 21548 grad_norm: 4.5468 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7215 loss: 0.7215 2022/08/01 21:51:08 - mmengine - INFO - Epoch(train) [85][180/940] lr: 1.0000e-04 eta: 3:42:44 time: 0.9056 data_time: 0.0439 memory: 21548 grad_norm: 4.4945 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8306 loss: 0.8306 2022/08/01 21:51:23 - mmengine - INFO - Epoch(train) [85][200/940] lr: 1.0000e-04 eta: 3:42:25 time: 0.7281 data_time: 0.0315 memory: 21548 grad_norm: 4.4568 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7222 loss: 0.7222 2022/08/01 21:51:43 - mmengine - INFO - Epoch(train) [85][220/940] lr: 1.0000e-04 eta: 3:42:08 time: 1.0138 data_time: 0.0394 memory: 21548 grad_norm: 4.4699 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7158 loss: 0.7158 2022/08/01 21:51:57 - mmengine - INFO - Epoch(train) [85][240/940] lr: 1.0000e-04 eta: 3:41:49 time: 0.6897 data_time: 0.0336 memory: 21548 grad_norm: 4.5438 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7663 loss: 0.7663 2022/08/01 21:52:16 - mmengine - INFO - Epoch(train) [85][260/940] lr: 1.0000e-04 eta: 3:41:31 time: 0.9512 data_time: 0.0383 memory: 21548 grad_norm: 4.5579 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8063 loss: 0.8063 2022/08/01 21:52:31 - mmengine - INFO - Epoch(train) [85][280/940] lr: 1.0000e-04 eta: 3:41:13 time: 0.7600 data_time: 0.0405 memory: 21548 grad_norm: 4.6877 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7855 loss: 0.7855 2022/08/01 21:52:50 - mmengine - INFO - Epoch(train) [85][300/940] lr: 1.0000e-04 eta: 3:40:55 time: 0.9158 data_time: 0.0455 memory: 21548 grad_norm: 4.4235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7676 loss: 0.7676 2022/08/01 21:53:06 - mmengine - INFO - Epoch(train) [85][320/940] lr: 1.0000e-04 eta: 3:40:36 time: 0.7957 data_time: 0.0332 memory: 21548 grad_norm: 4.3834 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6711 loss: 0.6711 2022/08/01 21:53:25 - mmengine - INFO - Epoch(train) [85][340/940] lr: 1.0000e-04 eta: 3:40:19 time: 0.9643 data_time: 0.0414 memory: 21548 grad_norm: 4.4831 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7275 loss: 0.7275 2022/08/01 21:53:42 - mmengine - INFO - Epoch(train) [85][360/940] lr: 1.0000e-04 eta: 3:40:00 time: 0.8330 data_time: 0.0319 memory: 21548 grad_norm: 4.5304 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8096 loss: 0.8096 2022/08/01 21:54:00 - mmengine - INFO - Epoch(train) [85][380/940] lr: 1.0000e-04 eta: 3:39:42 time: 0.9355 data_time: 0.0442 memory: 21548 grad_norm: 4.2727 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6502 loss: 0.6502 2022/08/01 21:54:16 - mmengine - INFO - Epoch(train) [85][400/940] lr: 1.0000e-04 eta: 3:39:24 time: 0.7973 data_time: 0.0304 memory: 21548 grad_norm: 4.4638 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7423 loss: 0.7423 2022/08/01 21:54:36 - mmengine - INFO - Epoch(train) [85][420/940] lr: 1.0000e-04 eta: 3:39:07 time: 1.0020 data_time: 0.0349 memory: 21548 grad_norm: 4.4736 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.7819 loss: 0.7819 2022/08/01 21:54:52 - mmengine - INFO - Epoch(train) [85][440/940] lr: 1.0000e-04 eta: 3:38:48 time: 0.7720 data_time: 0.0450 memory: 21548 grad_norm: 4.6088 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8533 loss: 0.8533 2022/08/01 21:55:14 - mmengine - INFO - Epoch(train) [85][460/940] lr: 1.0000e-04 eta: 3:38:31 time: 1.0950 data_time: 0.0362 memory: 21548 grad_norm: 4.6628 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7373 loss: 0.7373 2022/08/01 21:55:30 - mmengine - INFO - Epoch(train) [85][480/940] lr: 1.0000e-04 eta: 3:38:12 time: 0.7979 data_time: 0.0338 memory: 21548 grad_norm: 4.4209 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7104 loss: 0.7104 2022/08/01 21:55:48 - mmengine - INFO - Epoch(train) [85][500/940] lr: 1.0000e-04 eta: 3:37:54 time: 0.8955 data_time: 0.0366 memory: 21548 grad_norm: 4.6260 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6704 loss: 0.6704 2022/08/01 21:56:03 - mmengine - INFO - Epoch(train) [85][520/940] lr: 1.0000e-04 eta: 3:37:36 time: 0.7841 data_time: 0.0332 memory: 21548 grad_norm: 4.6396 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6673 loss: 0.6673 2022/08/01 21:56:21 - mmengine - INFO - Epoch(train) [85][540/940] lr: 1.0000e-04 eta: 3:37:18 time: 0.9128 data_time: 0.0359 memory: 21548 grad_norm: 4.4846 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7463 loss: 0.7463 2022/08/01 21:56:37 - mmengine - INFO - Epoch(train) [85][560/940] lr: 1.0000e-04 eta: 3:37:00 time: 0.7966 data_time: 0.0362 memory: 21548 grad_norm: 4.4777 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7752 loss: 0.7752 2022/08/01 21:56:56 - mmengine - INFO - Epoch(train) [85][580/940] lr: 1.0000e-04 eta: 3:36:42 time: 0.9316 data_time: 0.0327 memory: 21548 grad_norm: 4.5887 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7589 loss: 0.7589 2022/08/01 21:57:13 - mmengine - INFO - Epoch(train) [85][600/940] lr: 1.0000e-04 eta: 3:36:24 time: 0.8620 data_time: 0.0366 memory: 21548 grad_norm: 4.5881 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 0.7751 loss: 0.7751 2022/08/01 21:57:30 - mmengine - INFO - Epoch(train) [85][620/940] lr: 1.0000e-04 eta: 3:36:06 time: 0.8446 data_time: 0.0389 memory: 21548 grad_norm: 4.5517 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6798 loss: 0.6798 2022/08/01 21:57:47 - mmengine - INFO - Epoch(train) [85][640/940] lr: 1.0000e-04 eta: 3:35:47 time: 0.8345 data_time: 0.0340 memory: 21548 grad_norm: 4.5005 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7058 loss: 0.7058 2022/08/01 21:58:05 - mmengine - INFO - Epoch(train) [85][660/940] lr: 1.0000e-04 eta: 3:35:29 time: 0.8957 data_time: 0.0362 memory: 21548 grad_norm: 4.5000 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.8434 loss: 0.8434 2022/08/01 21:58:21 - mmengine - INFO - Epoch(train) [85][680/940] lr: 1.0000e-04 eta: 3:35:11 time: 0.8242 data_time: 0.0417 memory: 21548 grad_norm: 4.4381 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7928 loss: 0.7928 2022/08/01 21:58:41 - mmengine - INFO - Epoch(train) [85][700/940] lr: 1.0000e-04 eta: 3:34:53 time: 0.9598 data_time: 0.0355 memory: 21548 grad_norm: 4.3758 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6906 loss: 0.6906 2022/08/01 21:58:56 - mmengine - INFO - Epoch(train) [85][720/940] lr: 1.0000e-04 eta: 3:34:35 time: 0.7839 data_time: 0.0410 memory: 21548 grad_norm: 4.4634 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.7415 loss: 0.7415 2022/08/01 21:59:15 - mmengine - INFO - Epoch(train) [85][740/940] lr: 1.0000e-04 eta: 3:34:17 time: 0.9201 data_time: 0.0387 memory: 21548 grad_norm: 4.4670 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7743 loss: 0.7743 2022/08/01 21:59:30 - mmengine - INFO - Epoch(train) [85][760/940] lr: 1.0000e-04 eta: 3:33:59 time: 0.7461 data_time: 0.0396 memory: 21548 grad_norm: 4.6941 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7628 loss: 0.7628 2022/08/01 21:59:49 - mmengine - INFO - Epoch(train) [85][780/940] lr: 1.0000e-04 eta: 3:33:41 time: 0.9648 data_time: 0.0485 memory: 21548 grad_norm: 4.4904 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8096 loss: 0.8096 2022/08/01 22:00:06 - mmengine - INFO - Epoch(train) [85][800/940] lr: 1.0000e-04 eta: 3:33:23 time: 0.8464 data_time: 0.0335 memory: 21548 grad_norm: 4.5021 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7557 loss: 0.7557 2022/08/01 22:00:24 - mmengine - INFO - Epoch(train) [85][820/940] lr: 1.0000e-04 eta: 3:33:05 time: 0.9227 data_time: 0.0371 memory: 21548 grad_norm: 4.4775 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7447 loss: 0.7447 2022/08/01 22:00:39 - mmengine - INFO - Epoch(train) [85][840/940] lr: 1.0000e-04 eta: 3:32:46 time: 0.7445 data_time: 0.0412 memory: 21548 grad_norm: 4.5262 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7447 loss: 0.7447 2022/08/01 22:00:59 - mmengine - INFO - Epoch(train) [85][860/940] lr: 1.0000e-04 eta: 3:32:29 time: 1.0010 data_time: 0.0352 memory: 21548 grad_norm: 4.4579 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8363 loss: 0.8363 2022/08/01 22:01:15 - mmengine - INFO - Epoch(train) [85][880/940] lr: 1.0000e-04 eta: 3:32:10 time: 0.7793 data_time: 0.0362 memory: 21548 grad_norm: 4.4777 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7276 loss: 0.7276 2022/08/01 22:01:34 - mmengine - INFO - Epoch(train) [85][900/940] lr: 1.0000e-04 eta: 3:31:52 time: 0.9746 data_time: 0.0426 memory: 21548 grad_norm: 4.4524 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7430 loss: 0.7430 2022/08/01 22:01:49 - mmengine - INFO - Epoch(train) [85][920/940] lr: 1.0000e-04 eta: 3:31:34 time: 0.7428 data_time: 0.0339 memory: 21548 grad_norm: 4.4739 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6841 loss: 0.6841 2022/08/01 22:02:02 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 22:02:02 - mmengine - INFO - Epoch(train) [85][940/940] lr: 1.0000e-04 eta: 3:31:15 time: 0.6437 data_time: 0.0260 memory: 21548 grad_norm: 4.7806 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.7234 loss: 0.7234 2022/08/01 22:02:23 - mmengine - INFO - Epoch(val) [85][20/78] eta: 0:01:00 time: 1.0375 data_time: 0.9106 memory: 3271 2022/08/01 22:02:37 - mmengine - INFO - Epoch(val) [85][40/78] eta: 0:00:26 time: 0.7028 data_time: 0.5785 memory: 3271 2022/08/01 22:03:03 - mmengine - INFO - Epoch(val) [85][60/78] eta: 0:00:23 time: 1.3152 data_time: 1.2004 memory: 3271 2022/08/01 22:03:37 - mmengine - INFO - Epoch(val) [85][78/78] acc/top1: 0.7170 acc/top5: 0.9003 acc/mean1: 0.7169 2022/08/01 22:04:01 - mmengine - INFO - Epoch(train) [86][20/940] lr: 1.0000e-04 eta: 3:30:58 time: 1.1795 data_time: 0.6239 memory: 21548 grad_norm: 4.4486 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7308 loss: 0.7308 2022/08/01 22:04:16 - mmengine - INFO - Epoch(train) [86][40/940] lr: 1.0000e-04 eta: 3:30:40 time: 0.7852 data_time: 0.2175 memory: 21548 grad_norm: 4.4702 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8334 loss: 0.8334 2022/08/01 22:04:35 - mmengine - INFO - Epoch(train) [86][60/940] lr: 1.0000e-04 eta: 3:30:22 time: 0.9309 data_time: 0.0857 memory: 21548 grad_norm: 4.5740 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7712 loss: 0.7712 2022/08/01 22:04:51 - mmengine - INFO - Epoch(train) [86][80/940] lr: 1.0000e-04 eta: 3:30:03 time: 0.8172 data_time: 0.0345 memory: 21548 grad_norm: 4.4992 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.7878 loss: 0.7878 2022/08/01 22:05:09 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 22:05:09 - mmengine - INFO - Epoch(train) [86][100/940] lr: 1.0000e-04 eta: 3:29:46 time: 0.9046 data_time: 0.0416 memory: 21548 grad_norm: 4.6049 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7325 loss: 0.7325 2022/08/01 22:05:26 - mmengine - INFO - Epoch(train) [86][120/940] lr: 1.0000e-04 eta: 3:29:27 time: 0.8301 data_time: 0.0361 memory: 21548 grad_norm: 4.4745 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7400 loss: 0.7400 2022/08/01 22:05:44 - mmengine - INFO - Epoch(train) [86][140/940] lr: 1.0000e-04 eta: 3:29:09 time: 0.8888 data_time: 0.0410 memory: 21548 grad_norm: 4.4939 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6660 loss: 0.6660 2022/08/01 22:06:00 - mmengine - INFO - Epoch(train) [86][160/940] lr: 1.0000e-04 eta: 3:28:51 time: 0.8270 data_time: 0.0319 memory: 21548 grad_norm: 4.4420 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7864 loss: 0.7864 2022/08/01 22:06:18 - mmengine - INFO - Epoch(train) [86][180/940] lr: 1.0000e-04 eta: 3:28:33 time: 0.8977 data_time: 0.0379 memory: 21548 grad_norm: 4.4040 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7445 loss: 0.7445 2022/08/01 22:06:34 - mmengine - INFO - Epoch(train) [86][200/940] lr: 1.0000e-04 eta: 3:28:15 time: 0.7923 data_time: 0.0366 memory: 21548 grad_norm: 4.4936 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8189 loss: 0.8189 2022/08/01 22:06:53 - mmengine - INFO - Epoch(train) [86][220/940] lr: 1.0000e-04 eta: 3:27:57 time: 0.9569 data_time: 0.0518 memory: 21548 grad_norm: 4.5356 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6774 loss: 0.6774 2022/08/01 22:07:08 - mmengine - INFO - Epoch(train) [86][240/940] lr: 1.0000e-04 eta: 3:27:38 time: 0.7537 data_time: 0.0365 memory: 21548 grad_norm: 4.5194 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8710 loss: 0.8710 2022/08/01 22:07:28 - mmengine - INFO - Epoch(train) [86][260/940] lr: 1.0000e-04 eta: 3:27:21 time: 0.9681 data_time: 0.0437 memory: 21548 grad_norm: 4.4709 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7400 loss: 0.7400 2022/08/01 22:07:42 - mmengine - INFO - Epoch(train) [86][280/940] lr: 1.0000e-04 eta: 3:27:02 time: 0.7183 data_time: 0.0322 memory: 21548 grad_norm: 4.5394 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.7320 loss: 0.7320 2022/08/01 22:08:02 - mmengine - INFO - Epoch(train) [86][300/940] lr: 1.0000e-04 eta: 3:26:45 time: 0.9995 data_time: 0.0395 memory: 21548 grad_norm: 4.4264 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6842 loss: 0.6842 2022/08/01 22:08:17 - mmengine - INFO - Epoch(train) [86][320/940] lr: 1.0000e-04 eta: 3:26:26 time: 0.7701 data_time: 0.0379 memory: 21548 grad_norm: 4.5179 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.7341 loss: 0.7341 2022/08/01 22:08:36 - mmengine - INFO - Epoch(train) [86][340/940] lr: 1.0000e-04 eta: 3:26:08 time: 0.9085 data_time: 0.0500 memory: 21548 grad_norm: 4.5337 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7070 loss: 0.7070 2022/08/01 22:08:51 - mmengine - INFO - Epoch(train) [86][360/940] lr: 1.0000e-04 eta: 3:25:50 time: 0.7575 data_time: 0.0324 memory: 21548 grad_norm: 4.4212 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7423 loss: 0.7423 2022/08/01 22:09:11 - mmengine - INFO - Epoch(train) [86][380/940] lr: 1.0000e-04 eta: 3:25:32 time: 1.0054 data_time: 0.1269 memory: 21548 grad_norm: 4.5338 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6966 loss: 0.6966 2022/08/01 22:09:27 - mmengine - INFO - Epoch(train) [86][400/940] lr: 1.0000e-04 eta: 3:25:14 time: 0.8021 data_time: 0.1442 memory: 21548 grad_norm: 4.5005 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7665 loss: 0.7665 2022/08/01 22:09:47 - mmengine - INFO - Epoch(train) [86][420/940] lr: 1.0000e-04 eta: 3:24:56 time: 0.9960 data_time: 0.2435 memory: 21548 grad_norm: 4.5933 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7910 loss: 0.7910 2022/08/01 22:10:02 - mmengine - INFO - Epoch(train) [86][440/940] lr: 1.0000e-04 eta: 3:24:38 time: 0.7408 data_time: 0.1079 memory: 21548 grad_norm: 4.5338 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7110 loss: 0.7110 2022/08/01 22:10:20 - mmengine - INFO - Epoch(train) [86][460/940] lr: 1.0000e-04 eta: 3:24:20 time: 0.9055 data_time: 0.2634 memory: 21548 grad_norm: 4.5469 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7540 loss: 0.7540 2022/08/01 22:10:38 - mmengine - INFO - Epoch(train) [86][480/940] lr: 1.0000e-04 eta: 3:24:02 time: 0.9040 data_time: 0.3808 memory: 21548 grad_norm: 4.4285 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.7783 loss: 0.7783 2022/08/01 22:10:56 - mmengine - INFO - Epoch(train) [86][500/940] lr: 1.0000e-04 eta: 3:23:44 time: 0.8829 data_time: 0.3139 memory: 21548 grad_norm: 4.4015 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 0.7598 loss: 0.7598 2022/08/01 22:11:14 - mmengine - INFO - Epoch(train) [86][520/940] lr: 1.0000e-04 eta: 3:23:26 time: 0.9052 data_time: 0.2190 memory: 21548 grad_norm: 4.4726 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6830 loss: 0.6830 2022/08/01 22:11:30 - mmengine - INFO - Epoch(train) [86][540/940] lr: 1.0000e-04 eta: 3:23:07 time: 0.7981 data_time: 0.0591 memory: 21548 grad_norm: 4.6595 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7832 loss: 0.7832 2022/08/01 22:11:48 - mmengine - INFO - Epoch(train) [86][560/940] lr: 1.0000e-04 eta: 3:22:49 time: 0.8916 data_time: 0.0438 memory: 21548 grad_norm: 4.5648 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7301 loss: 0.7301 2022/08/01 22:12:04 - mmengine - INFO - Epoch(train) [86][580/940] lr: 1.0000e-04 eta: 3:22:31 time: 0.8358 data_time: 0.0535 memory: 21548 grad_norm: 4.4643 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6964 loss: 0.6964 2022/08/01 22:12:22 - mmengine - INFO - Epoch(train) [86][600/940] lr: 1.0000e-04 eta: 3:22:13 time: 0.8959 data_time: 0.0647 memory: 21548 grad_norm: 4.4740 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7541 loss: 0.7541 2022/08/01 22:12:39 - mmengine - INFO - Epoch(train) [86][620/940] lr: 1.0000e-04 eta: 3:21:55 time: 0.8451 data_time: 0.0677 memory: 21548 grad_norm: 4.5478 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7770 loss: 0.7770 2022/08/01 22:12:57 - mmengine - INFO - Epoch(train) [86][640/940] lr: 1.0000e-04 eta: 3:21:37 time: 0.8942 data_time: 0.0317 memory: 21548 grad_norm: 4.4490 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7149 loss: 0.7149 2022/08/01 22:13:13 - mmengine - INFO - Epoch(train) [86][660/940] lr: 1.0000e-04 eta: 3:21:19 time: 0.7963 data_time: 0.0415 memory: 21548 grad_norm: 4.6730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6851 loss: 0.6851 2022/08/01 22:13:32 - mmengine - INFO - Epoch(train) [86][680/940] lr: 1.0000e-04 eta: 3:21:01 time: 0.9519 data_time: 0.0327 memory: 21548 grad_norm: 4.5255 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7315 loss: 0.7315 2022/08/01 22:13:46 - mmengine - INFO - Epoch(train) [86][700/940] lr: 1.0000e-04 eta: 3:20:42 time: 0.7173 data_time: 0.0377 memory: 21548 grad_norm: 4.4487 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7455 loss: 0.7455 2022/08/01 22:14:04 - mmengine - INFO - Epoch(train) [86][720/940] lr: 1.0000e-04 eta: 3:20:24 time: 0.9092 data_time: 0.0369 memory: 21548 grad_norm: 4.6036 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7264 loss: 0.7264 2022/08/01 22:14:20 - mmengine - INFO - Epoch(train) [86][740/940] lr: 1.0000e-04 eta: 3:20:06 time: 0.7777 data_time: 0.0389 memory: 21548 grad_norm: 4.4685 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7378 loss: 0.7378 2022/08/01 22:14:38 - mmengine - INFO - Epoch(train) [86][760/940] lr: 1.0000e-04 eta: 3:19:48 time: 0.9195 data_time: 0.0376 memory: 21548 grad_norm: 4.5979 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7776 loss: 0.7776 2022/08/01 22:14:54 - mmengine - INFO - Epoch(train) [86][780/940] lr: 1.0000e-04 eta: 3:19:30 time: 0.7883 data_time: 0.0401 memory: 21548 grad_norm: 4.5782 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7856 loss: 0.7856 2022/08/01 22:15:14 - mmengine - INFO - Epoch(train) [86][800/940] lr: 1.0000e-04 eta: 3:19:12 time: 0.9705 data_time: 0.0382 memory: 21548 grad_norm: 4.5718 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8018 loss: 0.8018 2022/08/01 22:15:29 - mmengine - INFO - Epoch(train) [86][820/940] lr: 1.0000e-04 eta: 3:18:54 time: 0.7667 data_time: 0.0497 memory: 21548 grad_norm: 4.4560 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.7460 loss: 0.7460 2022/08/01 22:15:48 - mmengine - INFO - Epoch(train) [86][840/940] lr: 1.0000e-04 eta: 3:18:36 time: 0.9569 data_time: 0.0327 memory: 21548 grad_norm: 4.5275 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7094 loss: 0.7094 2022/08/01 22:16:03 - mmengine - INFO - Epoch(train) [86][860/940] lr: 1.0000e-04 eta: 3:18:17 time: 0.7488 data_time: 0.0389 memory: 21548 grad_norm: 4.3711 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7410 loss: 0.7410 2022/08/01 22:16:22 - mmengine - INFO - Epoch(train) [86][880/940] lr: 1.0000e-04 eta: 3:18:00 time: 0.9285 data_time: 0.0491 memory: 21548 grad_norm: 4.5149 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8203 loss: 0.8203 2022/08/01 22:16:37 - mmengine - INFO - Epoch(train) [86][900/940] lr: 1.0000e-04 eta: 3:17:41 time: 0.7722 data_time: 0.0368 memory: 21548 grad_norm: 4.4350 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7471 loss: 0.7471 2022/08/01 22:16:56 - mmengine - INFO - Epoch(train) [86][920/940] lr: 1.0000e-04 eta: 3:17:23 time: 0.9462 data_time: 0.0380 memory: 21548 grad_norm: 4.5177 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 0.7287 loss: 0.7287 2022/08/01 22:17:09 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 22:17:09 - mmengine - INFO - Epoch(train) [86][940/940] lr: 1.0000e-04 eta: 3:17:05 time: 0.6563 data_time: 0.0263 memory: 21548 grad_norm: 4.8445 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.7536 loss: 0.7536 2022/08/01 22:17:29 - mmengine - INFO - Epoch(val) [86][20/78] eta: 0:00:58 time: 1.0079 data_time: 0.8843 memory: 3271 2022/08/01 22:17:44 - mmengine - INFO - Epoch(val) [86][40/78] eta: 0:00:26 time: 0.7086 data_time: 0.5722 memory: 3271 2022/08/01 22:18:02 - mmengine - INFO - Epoch(val) [86][60/78] eta: 0:00:16 time: 0.9391 data_time: 0.8052 memory: 3271 2022/08/01 22:18:18 - mmengine - INFO - Epoch(val) [86][78/78] acc/top1: 0.7182 acc/top5: 0.8997 acc/mean1: 0.7181 2022/08/01 22:18:41 - mmengine - INFO - Epoch(train) [87][20/940] lr: 1.0000e-04 eta: 3:16:47 time: 1.1233 data_time: 0.7163 memory: 21548 grad_norm: 4.6083 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7334 loss: 0.7334 2022/08/01 22:18:56 - mmengine - INFO - Epoch(train) [87][40/940] lr: 1.0000e-04 eta: 3:16:29 time: 0.7706 data_time: 0.3633 memory: 21548 grad_norm: 4.5040 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7392 loss: 0.7392 2022/08/01 22:19:14 - mmengine - INFO - Epoch(train) [87][60/940] lr: 1.0000e-04 eta: 3:16:11 time: 0.9122 data_time: 0.4865 memory: 21548 grad_norm: 4.6057 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7708 loss: 0.7708 2022/08/01 22:19:31 - mmengine - INFO - Epoch(train) [87][80/940] lr: 1.0000e-04 eta: 3:15:53 time: 0.8069 data_time: 0.2676 memory: 21548 grad_norm: 4.5348 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7856 loss: 0.7856 2022/08/01 22:19:49 - mmengine - INFO - Epoch(train) [87][100/940] lr: 1.0000e-04 eta: 3:15:35 time: 0.9386 data_time: 0.2725 memory: 21548 grad_norm: 4.5059 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7613 loss: 0.7613 2022/08/01 22:20:04 - mmengine - INFO - Epoch(train) [87][120/940] lr: 1.0000e-04 eta: 3:15:16 time: 0.7357 data_time: 0.1331 memory: 21548 grad_norm: 4.4716 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6343 loss: 0.6343 2022/08/01 22:20:23 - mmengine - INFO - Epoch(train) [87][140/940] lr: 1.0000e-04 eta: 3:14:59 time: 0.9261 data_time: 0.3275 memory: 21548 grad_norm: 4.5185 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.6757 loss: 0.6757 2022/08/01 22:20:38 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 22:20:38 - mmengine - INFO - Epoch(train) [87][160/940] lr: 1.0000e-04 eta: 3:14:40 time: 0.7853 data_time: 0.2039 memory: 21548 grad_norm: 4.5968 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7453 loss: 0.7453 2022/08/01 22:20:57 - mmengine - INFO - Epoch(train) [87][180/940] lr: 1.0000e-04 eta: 3:14:22 time: 0.9415 data_time: 0.2695 memory: 21548 grad_norm: 4.5791 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7271 loss: 0.7271 2022/08/01 22:21:15 - mmengine - INFO - Epoch(train) [87][200/940] lr: 1.0000e-04 eta: 3:14:04 time: 0.8806 data_time: 0.1373 memory: 21548 grad_norm: 4.5671 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.7957 loss: 0.7957 2022/08/01 22:21:34 - mmengine - INFO - Epoch(train) [87][220/940] lr: 1.0000e-04 eta: 3:13:47 time: 0.9632 data_time: 0.0384 memory: 21548 grad_norm: 4.7248 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7859 loss: 0.7859 2022/08/01 22:21:49 - mmengine - INFO - Epoch(train) [87][240/940] lr: 1.0000e-04 eta: 3:13:28 time: 0.7398 data_time: 0.0918 memory: 21548 grad_norm: 4.5682 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8270 loss: 0.8270 2022/08/01 22:22:08 - mmengine - INFO - Epoch(train) [87][260/940] lr: 1.0000e-04 eta: 3:13:10 time: 0.9381 data_time: 0.2285 memory: 21548 grad_norm: 4.5196 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7364 loss: 0.7364 2022/08/01 22:22:23 - mmengine - INFO - Epoch(train) [87][280/940] lr: 1.0000e-04 eta: 3:12:52 time: 0.7848 data_time: 0.0991 memory: 21548 grad_norm: 4.4850 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7175 loss: 0.7175 2022/08/01 22:22:41 - mmengine - INFO - Epoch(train) [87][300/940] lr: 1.0000e-04 eta: 3:12:34 time: 0.9070 data_time: 0.0351 memory: 21548 grad_norm: 4.5242 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7448 loss: 0.7448 2022/08/01 22:22:57 - mmengine - INFO - Epoch(train) [87][320/940] lr: 1.0000e-04 eta: 3:12:16 time: 0.7975 data_time: 0.0404 memory: 21548 grad_norm: 4.4336 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.7427 loss: 0.7427 2022/08/01 22:23:15 - mmengine - INFO - Epoch(train) [87][340/940] lr: 1.0000e-04 eta: 3:11:58 time: 0.8849 data_time: 0.1173 memory: 21548 grad_norm: 4.3588 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7987 loss: 0.7987 2022/08/01 22:23:31 - mmengine - INFO - Epoch(train) [87][360/940] lr: 1.0000e-04 eta: 3:11:39 time: 0.7754 data_time: 0.1593 memory: 21548 grad_norm: 4.4493 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7079 loss: 0.7079 2022/08/01 22:23:51 - mmengine - INFO - Epoch(train) [87][380/940] lr: 1.0000e-04 eta: 3:11:22 time: 0.9991 data_time: 0.0832 memory: 21548 grad_norm: 4.5822 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6870 loss: 0.6870 2022/08/01 22:24:06 - mmengine - INFO - Epoch(train) [87][400/940] lr: 1.0000e-04 eta: 3:11:03 time: 0.7773 data_time: 0.0473 memory: 21548 grad_norm: 4.4485 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6450 loss: 0.6450 2022/08/01 22:24:26 - mmengine - INFO - Epoch(train) [87][420/940] lr: 1.0000e-04 eta: 3:10:46 time: 0.9811 data_time: 0.0363 memory: 21548 grad_norm: 4.5632 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7356 loss: 0.7356 2022/08/01 22:24:41 - mmengine - INFO - Epoch(train) [87][440/940] lr: 1.0000e-04 eta: 3:10:27 time: 0.7366 data_time: 0.0518 memory: 21548 grad_norm: 4.4443 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6355 loss: 0.6355 2022/08/01 22:25:00 - mmengine - INFO - Epoch(train) [87][460/940] lr: 1.0000e-04 eta: 3:10:09 time: 0.9750 data_time: 0.0407 memory: 21548 grad_norm: 4.4041 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6745 loss: 0.6745 2022/08/01 22:25:16 - mmengine - INFO - Epoch(train) [87][480/940] lr: 1.0000e-04 eta: 3:09:51 time: 0.7803 data_time: 0.0417 memory: 21548 grad_norm: 4.4268 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7306 loss: 0.7306 2022/08/01 22:25:34 - mmengine - INFO - Epoch(train) [87][500/940] lr: 1.0000e-04 eta: 3:09:33 time: 0.9020 data_time: 0.0385 memory: 21548 grad_norm: 4.3876 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7823 loss: 0.7823 2022/08/01 22:25:51 - mmengine - INFO - Epoch(train) [87][520/940] lr: 1.0000e-04 eta: 3:09:15 time: 0.8407 data_time: 0.0390 memory: 21548 grad_norm: 4.5177 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7037 loss: 0.7037 2022/08/01 22:26:10 - mmengine - INFO - Epoch(train) [87][540/940] lr: 1.0000e-04 eta: 3:08:57 time: 0.9637 data_time: 0.0373 memory: 21548 grad_norm: 4.5071 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7178 loss: 0.7178 2022/08/01 22:26:25 - mmengine - INFO - Epoch(train) [87][560/940] lr: 1.0000e-04 eta: 3:08:39 time: 0.7461 data_time: 0.0320 memory: 21548 grad_norm: 4.5465 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6887 loss: 0.6887 2022/08/01 22:26:46 - mmengine - INFO - Epoch(train) [87][580/940] lr: 1.0000e-04 eta: 3:08:21 time: 1.0680 data_time: 0.0342 memory: 21548 grad_norm: 4.5682 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7912 loss: 0.7912 2022/08/01 22:27:02 - mmengine - INFO - Epoch(train) [87][600/940] lr: 1.0000e-04 eta: 3:08:03 time: 0.8016 data_time: 0.0348 memory: 21548 grad_norm: 4.5779 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7439 loss: 0.7439 2022/08/01 22:27:18 - mmengine - INFO - Epoch(train) [87][620/940] lr: 1.0000e-04 eta: 3:07:45 time: 0.8005 data_time: 0.0349 memory: 21548 grad_norm: 4.6641 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8195 loss: 0.8195 2022/08/01 22:27:35 - mmengine - INFO - Epoch(train) [87][640/940] lr: 1.0000e-04 eta: 3:07:27 time: 0.8569 data_time: 0.0493 memory: 21548 grad_norm: 4.5121 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7745 loss: 0.7745 2022/08/01 22:27:53 - mmengine - INFO - Epoch(train) [87][660/940] lr: 1.0000e-04 eta: 3:07:09 time: 0.8812 data_time: 0.0308 memory: 21548 grad_norm: 4.4399 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7786 loss: 0.7786 2022/08/01 22:28:09 - mmengine - INFO - Epoch(train) [87][680/940] lr: 1.0000e-04 eta: 3:06:50 time: 0.8178 data_time: 0.0368 memory: 21548 grad_norm: 4.4780 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7146 loss: 0.7146 2022/08/01 22:28:26 - mmengine - INFO - Epoch(train) [87][700/940] lr: 1.0000e-04 eta: 3:06:32 time: 0.8532 data_time: 0.0400 memory: 21548 grad_norm: 4.6243 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7617 loss: 0.7617 2022/08/01 22:28:45 - mmengine - INFO - Epoch(train) [87][720/940] lr: 1.0000e-04 eta: 3:06:14 time: 0.9179 data_time: 0.0390 memory: 21548 grad_norm: 4.5210 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7100 loss: 0.7100 2022/08/01 22:29:00 - mmengine - INFO - Epoch(train) [87][740/940] lr: 1.0000e-04 eta: 3:05:56 time: 0.7636 data_time: 0.0337 memory: 21548 grad_norm: 4.5646 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7515 loss: 0.7515 2022/08/01 22:29:22 - mmengine - INFO - Epoch(train) [87][760/940] lr: 1.0000e-04 eta: 3:05:39 time: 1.0932 data_time: 0.0322 memory: 21548 grad_norm: 4.4792 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.8186 loss: 0.8186 2022/08/01 22:29:37 - mmengine - INFO - Epoch(train) [87][780/940] lr: 1.0000e-04 eta: 3:05:20 time: 0.7394 data_time: 0.0534 memory: 21548 grad_norm: 4.5261 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7483 loss: 0.7483 2022/08/01 22:29:55 - mmengine - INFO - Epoch(train) [87][800/940] lr: 1.0000e-04 eta: 3:05:02 time: 0.8988 data_time: 0.0387 memory: 21548 grad_norm: 4.5469 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7579 loss: 0.7579 2022/08/01 22:30:12 - mmengine - INFO - Epoch(train) [87][820/940] lr: 1.0000e-04 eta: 3:04:44 time: 0.8510 data_time: 0.0329 memory: 21548 grad_norm: 4.5338 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7350 loss: 0.7350 2022/08/01 22:30:29 - mmengine - INFO - Epoch(train) [87][840/940] lr: 1.0000e-04 eta: 3:04:26 time: 0.8704 data_time: 0.0361 memory: 21548 grad_norm: 4.4885 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7877 loss: 0.7877 2022/08/01 22:30:47 - mmengine - INFO - Epoch(train) [87][860/940] lr: 1.0000e-04 eta: 3:04:08 time: 0.9028 data_time: 0.0373 memory: 21548 grad_norm: 4.5618 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7915 loss: 0.7915 2022/08/01 22:31:02 - mmengine - INFO - Epoch(train) [87][880/940] lr: 1.0000e-04 eta: 3:03:50 time: 0.7241 data_time: 0.0335 memory: 21548 grad_norm: 4.5950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7824 loss: 0.7824 2022/08/01 22:31:20 - mmengine - INFO - Epoch(train) [87][900/940] lr: 1.0000e-04 eta: 3:03:32 time: 0.8905 data_time: 0.0471 memory: 21548 grad_norm: 4.4780 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7658 loss: 0.7658 2022/08/01 22:31:36 - mmengine - INFO - Epoch(train) [87][920/940] lr: 1.0000e-04 eta: 3:03:14 time: 0.8223 data_time: 0.0369 memory: 21548 grad_norm: 4.7341 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7559 loss: 0.7559 2022/08/01 22:31:52 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 22:31:52 - mmengine - INFO - Epoch(train) [87][940/940] lr: 1.0000e-04 eta: 3:02:55 time: 0.7770 data_time: 0.0369 memory: 21548 grad_norm: 4.7357 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.7965 loss: 0.7965 2022/08/01 22:31:52 - mmengine - INFO - Saving checkpoint at 87 epochs 2022/08/01 22:32:13 - mmengine - INFO - Epoch(val) [87][20/78] eta: 0:00:59 time: 1.0198 data_time: 0.8984 memory: 3271 2022/08/01 22:32:27 - mmengine - INFO - Epoch(val) [87][40/78] eta: 0:00:27 time: 0.7167 data_time: 0.5936 memory: 3271 2022/08/01 22:32:46 - mmengine - INFO - Epoch(val) [87][60/78] eta: 0:00:17 time: 0.9462 data_time: 0.8239 memory: 3271 2022/08/01 22:33:00 - mmengine - INFO - Epoch(val) [87][78/78] acc/top1: 0.7176 acc/top5: 0.8986 acc/mean1: 0.7175 2022/08/01 22:33:23 - mmengine - INFO - Epoch(train) [88][20/940] lr: 1.0000e-04 eta: 3:02:38 time: 1.1225 data_time: 0.5932 memory: 21548 grad_norm: 4.5436 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7846 loss: 0.7846 2022/08/01 22:33:38 - mmengine - INFO - Epoch(train) [88][40/940] lr: 1.0000e-04 eta: 3:02:20 time: 0.7624 data_time: 0.2180 memory: 21548 grad_norm: 4.4815 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7288 loss: 0.7288 2022/08/01 22:33:57 - mmengine - INFO - Epoch(train) [88][60/940] lr: 1.0000e-04 eta: 3:02:02 time: 0.9555 data_time: 0.3753 memory: 21548 grad_norm: 4.5438 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6376 loss: 0.6376 2022/08/01 22:34:11 - mmengine - INFO - Epoch(train) [88][80/940] lr: 1.0000e-04 eta: 3:01:43 time: 0.7138 data_time: 0.3037 memory: 21548 grad_norm: 4.5895 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5947 loss: 0.5947 2022/08/01 22:34:31 - mmengine - INFO - Epoch(train) [88][100/940] lr: 1.0000e-04 eta: 3:01:25 time: 0.9668 data_time: 0.5298 memory: 21548 grad_norm: 4.5435 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7162 loss: 0.7162 2022/08/01 22:34:47 - mmengine - INFO - Epoch(train) [88][120/940] lr: 1.0000e-04 eta: 3:01:07 time: 0.8196 data_time: 0.4068 memory: 21548 grad_norm: 4.6181 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7621 loss: 0.7621 2022/08/01 22:35:08 - mmengine - INFO - Epoch(train) [88][140/940] lr: 1.0000e-04 eta: 3:00:50 time: 1.0383 data_time: 0.6157 memory: 21548 grad_norm: 4.4029 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7942 loss: 0.7942 2022/08/01 22:35:37 - mmengine - INFO - Epoch(train) [88][160/940] lr: 1.0000e-04 eta: 3:00:33 time: 1.4737 data_time: 1.0613 memory: 21548 grad_norm: 4.5684 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.7629 loss: 0.7629 2022/08/01 22:35:58 - mmengine - INFO - Epoch(train) [88][180/940] lr: 1.0000e-04 eta: 3:00:16 time: 1.0356 data_time: 0.3490 memory: 21548 grad_norm: 4.5894 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7696 loss: 0.7696 2022/08/01 22:36:14 - mmengine - INFO - Epoch(train) [88][200/940] lr: 1.0000e-04 eta: 2:59:58 time: 0.7811 data_time: 0.0395 memory: 21548 grad_norm: 4.6428 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7894 loss: 0.7894 2022/08/01 22:36:31 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 22:36:31 - mmengine - INFO - Epoch(train) [88][220/940] lr: 1.0000e-04 eta: 2:59:40 time: 0.8727 data_time: 0.0418 memory: 21548 grad_norm: 4.5575 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.7556 loss: 0.7556 2022/08/01 22:36:47 - mmengine - INFO - Epoch(train) [88][240/940] lr: 1.0000e-04 eta: 2:59:21 time: 0.7882 data_time: 0.0517 memory: 21548 grad_norm: 4.4798 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7340 loss: 0.7340 2022/08/01 22:37:05 - mmengine - INFO - Epoch(train) [88][260/940] lr: 1.0000e-04 eta: 2:59:03 time: 0.9087 data_time: 0.0392 memory: 21548 grad_norm: 4.4703 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7037 loss: 0.7037 2022/08/01 22:37:21 - mmengine - INFO - Epoch(train) [88][280/940] lr: 1.0000e-04 eta: 2:58:45 time: 0.7754 data_time: 0.0569 memory: 21548 grad_norm: 4.5064 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7374 loss: 0.7374 2022/08/01 22:37:39 - mmengine - INFO - Epoch(train) [88][300/940] lr: 1.0000e-04 eta: 2:58:27 time: 0.9003 data_time: 0.0368 memory: 21548 grad_norm: 4.5246 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7270 loss: 0.7270 2022/08/01 22:37:54 - mmengine - INFO - Epoch(train) [88][320/940] lr: 1.0000e-04 eta: 2:58:09 time: 0.7841 data_time: 0.0422 memory: 21548 grad_norm: 4.4672 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7889 loss: 0.7889 2022/08/01 22:38:13 - mmengine - INFO - Epoch(train) [88][340/940] lr: 1.0000e-04 eta: 2:57:51 time: 0.9129 data_time: 0.1667 memory: 21548 grad_norm: 4.5632 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7620 loss: 0.7620 2022/08/01 22:38:32 - mmengine - INFO - Epoch(train) [88][360/940] lr: 1.0000e-04 eta: 2:57:33 time: 0.9439 data_time: 0.4463 memory: 21548 grad_norm: 4.6085 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7756 loss: 0.7756 2022/08/01 22:38:48 - mmengine - INFO - Epoch(train) [88][380/940] lr: 1.0000e-04 eta: 2:57:15 time: 0.7951 data_time: 0.3463 memory: 21548 grad_norm: 4.4261 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7311 loss: 0.7311 2022/08/01 22:39:06 - mmengine - INFO - Epoch(train) [88][400/940] lr: 1.0000e-04 eta: 2:56:57 time: 0.9367 data_time: 0.5005 memory: 21548 grad_norm: 4.6053 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8254 loss: 0.8254 2022/08/01 22:39:21 - mmengine - INFO - Epoch(train) [88][420/940] lr: 1.0000e-04 eta: 2:56:38 time: 0.7618 data_time: 0.3488 memory: 21548 grad_norm: 4.4449 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.6975 loss: 0.6975 2022/08/01 22:39:40 - mmengine - INFO - Epoch(train) [88][440/940] lr: 1.0000e-04 eta: 2:56:21 time: 0.9452 data_time: 0.5114 memory: 21548 grad_norm: 4.4767 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7521 loss: 0.7521 2022/08/01 22:39:58 - mmengine - INFO - Epoch(train) [88][460/940] lr: 1.0000e-04 eta: 2:56:03 time: 0.8946 data_time: 0.4556 memory: 21548 grad_norm: 4.4944 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.7145 loss: 0.7145 2022/08/01 22:40:15 - mmengine - INFO - Epoch(train) [88][480/940] lr: 1.0000e-04 eta: 2:55:45 time: 0.8452 data_time: 0.4350 memory: 21548 grad_norm: 4.4858 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6164 loss: 0.6164 2022/08/01 22:40:32 - mmengine - INFO - Epoch(train) [88][500/940] lr: 1.0000e-04 eta: 2:55:27 time: 0.8669 data_time: 0.4400 memory: 21548 grad_norm: 4.5444 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7624 loss: 0.7624 2022/08/01 22:40:49 - mmengine - INFO - Epoch(train) [88][520/940] lr: 1.0000e-04 eta: 2:55:08 time: 0.8287 data_time: 0.4214 memory: 21548 grad_norm: 4.4842 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7184 loss: 0.7184 2022/08/01 22:41:07 - mmengine - INFO - Epoch(train) [88][540/940] lr: 1.0000e-04 eta: 2:54:50 time: 0.9175 data_time: 0.4020 memory: 21548 grad_norm: 4.4318 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6731 loss: 0.6731 2022/08/01 22:41:23 - mmengine - INFO - Epoch(train) [88][560/940] lr: 1.0000e-04 eta: 2:54:32 time: 0.7752 data_time: 0.2737 memory: 21548 grad_norm: 4.5339 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6783 loss: 0.6783 2022/08/01 22:41:41 - mmengine - INFO - Epoch(train) [88][580/940] lr: 1.0000e-04 eta: 2:54:14 time: 0.8753 data_time: 0.3867 memory: 21548 grad_norm: 4.3843 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6608 loss: 0.6608 2022/08/01 22:41:57 - mmengine - INFO - Epoch(train) [88][600/940] lr: 1.0000e-04 eta: 2:53:56 time: 0.8184 data_time: 0.3402 memory: 21548 grad_norm: 4.6086 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8154 loss: 0.8154 2022/08/01 22:42:15 - mmengine - INFO - Epoch(train) [88][620/940] lr: 1.0000e-04 eta: 2:53:38 time: 0.8918 data_time: 0.3672 memory: 21548 grad_norm: 4.5262 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7685 loss: 0.7685 2022/08/01 22:42:31 - mmengine - INFO - Epoch(train) [88][640/940] lr: 1.0000e-04 eta: 2:53:20 time: 0.8254 data_time: 0.2259 memory: 21548 grad_norm: 4.4344 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.7093 loss: 0.7093 2022/08/01 22:42:50 - mmengine - INFO - Epoch(train) [88][660/940] lr: 1.0000e-04 eta: 2:53:02 time: 0.9223 data_time: 0.0516 memory: 21548 grad_norm: 4.4919 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6735 loss: 0.6735 2022/08/01 22:43:05 - mmengine - INFO - Epoch(train) [88][680/940] lr: 1.0000e-04 eta: 2:52:44 time: 0.7900 data_time: 0.0339 memory: 21548 grad_norm: 4.5254 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7989 loss: 0.7989 2022/08/01 22:43:24 - mmengine - INFO - Epoch(train) [88][700/940] lr: 1.0000e-04 eta: 2:52:26 time: 0.9119 data_time: 0.0337 memory: 21548 grad_norm: 4.4962 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6955 loss: 0.6955 2022/08/01 22:43:40 - mmengine - INFO - Epoch(train) [88][720/940] lr: 1.0000e-04 eta: 2:52:08 time: 0.8315 data_time: 0.0361 memory: 21548 grad_norm: 4.6110 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7416 loss: 0.7416 2022/08/01 22:43:59 - mmengine - INFO - Epoch(train) [88][740/940] lr: 1.0000e-04 eta: 2:51:50 time: 0.9292 data_time: 0.0323 memory: 21548 grad_norm: 4.6404 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7106 loss: 0.7106 2022/08/01 22:44:15 - mmengine - INFO - Epoch(train) [88][760/940] lr: 1.0000e-04 eta: 2:51:31 time: 0.7845 data_time: 0.0410 memory: 21548 grad_norm: 4.4815 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7074 loss: 0.7074 2022/08/01 22:44:32 - mmengine - INFO - Epoch(train) [88][780/940] lr: 1.0000e-04 eta: 2:51:13 time: 0.8656 data_time: 0.0382 memory: 21548 grad_norm: 4.5239 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7037 loss: 0.7037 2022/08/01 22:44:50 - mmengine - INFO - Epoch(train) [88][800/940] lr: 1.0000e-04 eta: 2:50:55 time: 0.8794 data_time: 0.0403 memory: 21548 grad_norm: 4.3922 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6382 loss: 0.6382 2022/08/01 22:45:06 - mmengine - INFO - Epoch(train) [88][820/940] lr: 1.0000e-04 eta: 2:50:37 time: 0.8326 data_time: 0.0389 memory: 21548 grad_norm: 4.6446 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7767 loss: 0.7767 2022/08/01 22:45:25 - mmengine - INFO - Epoch(train) [88][840/940] lr: 1.0000e-04 eta: 2:50:19 time: 0.9088 data_time: 0.0484 memory: 21548 grad_norm: 4.5214 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7869 loss: 0.7869 2022/08/01 22:45:40 - mmengine - INFO - Epoch(train) [88][860/940] lr: 1.0000e-04 eta: 2:50:01 time: 0.7968 data_time: 0.0524 memory: 21548 grad_norm: 4.4663 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 0.7525 loss: 0.7525 2022/08/01 22:45:59 - mmengine - INFO - Epoch(train) [88][880/940] lr: 1.0000e-04 eta: 2:49:43 time: 0.9110 data_time: 0.0398 memory: 21548 grad_norm: 4.5644 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6931 loss: 0.6931 2022/08/01 22:46:14 - mmengine - INFO - Epoch(train) [88][900/940] lr: 1.0000e-04 eta: 2:49:25 time: 0.7937 data_time: 0.0407 memory: 21548 grad_norm: 4.6118 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 0.8010 loss: 0.8010 2022/08/01 22:46:33 - mmengine - INFO - Epoch(train) [88][920/940] lr: 1.0000e-04 eta: 2:49:07 time: 0.9291 data_time: 0.0433 memory: 21548 grad_norm: 4.5168 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7250 loss: 0.7250 2022/08/01 22:46:46 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 22:46:46 - mmengine - INFO - Epoch(train) [88][940/940] lr: 1.0000e-04 eta: 2:48:48 time: 0.6653 data_time: 0.0291 memory: 21548 grad_norm: 4.7021 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.7047 loss: 0.7047 2022/08/01 22:47:07 - mmengine - INFO - Epoch(val) [88][20/78] eta: 0:01:00 time: 1.0358 data_time: 0.9077 memory: 3271 2022/08/01 22:47:21 - mmengine - INFO - Epoch(val) [88][40/78] eta: 0:00:26 time: 0.6935 data_time: 0.5710 memory: 3271 2022/08/01 22:47:40 - mmengine - INFO - Epoch(val) [88][60/78] eta: 0:00:16 time: 0.9386 data_time: 0.8118 memory: 3271 2022/08/01 22:47:55 - mmengine - INFO - Epoch(val) [88][78/78] acc/top1: 0.7181 acc/top5: 0.8996 acc/mean1: 0.7180 2022/08/01 22:48:17 - mmengine - INFO - Epoch(train) [89][20/940] lr: 1.0000e-04 eta: 2:48:31 time: 1.1357 data_time: 0.5027 memory: 21548 grad_norm: 4.6574 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7573 loss: 0.7573 2022/08/01 22:48:33 - mmengine - INFO - Epoch(train) [89][40/940] lr: 1.0000e-04 eta: 2:48:13 time: 0.7685 data_time: 0.1957 memory: 21548 grad_norm: 4.6065 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8016 loss: 0.8016 2022/08/01 22:48:51 - mmengine - INFO - Epoch(train) [89][60/940] lr: 1.0000e-04 eta: 2:47:55 time: 0.9281 data_time: 0.1625 memory: 21548 grad_norm: 4.5929 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7804 loss: 0.7804 2022/08/01 22:49:07 - mmengine - INFO - Epoch(train) [89][80/940] lr: 1.0000e-04 eta: 2:47:37 time: 0.7682 data_time: 0.0500 memory: 21548 grad_norm: 4.5832 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.7023 loss: 0.7023 2022/08/01 22:49:26 - mmengine - INFO - Epoch(train) [89][100/940] lr: 1.0000e-04 eta: 2:47:19 time: 0.9449 data_time: 0.0764 memory: 21548 grad_norm: 4.5840 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7843 loss: 0.7843 2022/08/01 22:49:41 - mmengine - INFO - Epoch(train) [89][120/940] lr: 1.0000e-04 eta: 2:47:00 time: 0.7771 data_time: 0.0350 memory: 21548 grad_norm: 4.5369 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7465 loss: 0.7465 2022/08/01 22:50:00 - mmengine - INFO - Epoch(train) [89][140/940] lr: 1.0000e-04 eta: 2:46:43 time: 0.9255 data_time: 0.0395 memory: 21548 grad_norm: 4.5328 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6255 loss: 0.6255 2022/08/01 22:50:16 - mmengine - INFO - Epoch(train) [89][160/940] lr: 1.0000e-04 eta: 2:46:24 time: 0.8370 data_time: 0.0578 memory: 21548 grad_norm: 4.5198 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6819 loss: 0.6819 2022/08/01 22:50:34 - mmengine - INFO - Epoch(train) [89][180/940] lr: 1.0000e-04 eta: 2:46:06 time: 0.8798 data_time: 0.0381 memory: 21548 grad_norm: 4.4550 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7052 loss: 0.7052 2022/08/01 22:50:50 - mmengine - INFO - Epoch(train) [89][200/940] lr: 1.0000e-04 eta: 2:45:48 time: 0.7957 data_time: 0.0400 memory: 21548 grad_norm: 4.4063 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.7118 loss: 0.7118 2022/08/01 22:51:08 - mmengine - INFO - Epoch(train) [89][220/940] lr: 1.0000e-04 eta: 2:45:30 time: 0.9118 data_time: 0.0378 memory: 21548 grad_norm: 4.5698 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7612 loss: 0.7612 2022/08/01 22:51:24 - mmengine - INFO - Epoch(train) [89][240/940] lr: 1.0000e-04 eta: 2:45:12 time: 0.7676 data_time: 0.0390 memory: 21548 grad_norm: 4.5155 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7863 loss: 0.7863 2022/08/01 22:51:42 - mmengine - INFO - Epoch(train) [89][260/940] lr: 1.0000e-04 eta: 2:44:54 time: 0.9341 data_time: 0.0285 memory: 21548 grad_norm: 4.5388 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7338 loss: 0.7338 2022/08/01 22:51:57 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 22:51:57 - mmengine - INFO - Epoch(train) [89][280/940] lr: 1.0000e-04 eta: 2:44:36 time: 0.7495 data_time: 0.0400 memory: 21548 grad_norm: 4.4215 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7114 loss: 0.7114 2022/08/01 22:52:16 - mmengine - INFO - Epoch(train) [89][300/940] lr: 1.0000e-04 eta: 2:44:18 time: 0.9373 data_time: 0.0549 memory: 21548 grad_norm: 4.5533 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6831 loss: 0.6831 2022/08/01 22:52:32 - mmengine - INFO - Epoch(train) [89][320/940] lr: 1.0000e-04 eta: 2:44:00 time: 0.8085 data_time: 0.1364 memory: 21548 grad_norm: 4.4961 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7449 loss: 0.7449 2022/08/01 22:52:50 - mmengine - INFO - Epoch(train) [89][340/940] lr: 1.0000e-04 eta: 2:43:42 time: 0.8728 data_time: 0.1219 memory: 21548 grad_norm: 4.5572 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.6863 loss: 0.6863 2022/08/01 22:53:09 - mmengine - INFO - Epoch(train) [89][360/940] lr: 1.0000e-04 eta: 2:43:24 time: 0.9430 data_time: 0.4546 memory: 21548 grad_norm: 4.4951 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7424 loss: 0.7424 2022/08/01 22:53:23 - mmengine - INFO - Epoch(train) [89][380/940] lr: 1.0000e-04 eta: 2:43:05 time: 0.7113 data_time: 0.2899 memory: 21548 grad_norm: 4.5479 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.7627 loss: 0.7627 2022/08/01 22:53:40 - mmengine - INFO - Epoch(train) [89][400/940] lr: 1.0000e-04 eta: 2:42:47 time: 0.8670 data_time: 0.3641 memory: 21548 grad_norm: 4.5257 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6637 loss: 0.6637 2022/08/01 22:53:58 - mmengine - INFO - Epoch(train) [89][420/940] lr: 1.0000e-04 eta: 2:42:29 time: 0.8768 data_time: 0.2139 memory: 21548 grad_norm: 4.6183 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7210 loss: 0.7210 2022/08/01 22:54:14 - mmengine - INFO - Epoch(train) [89][440/940] lr: 1.0000e-04 eta: 2:42:11 time: 0.8353 data_time: 0.3308 memory: 21548 grad_norm: 4.4421 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7771 loss: 0.7771 2022/08/01 22:54:31 - mmengine - INFO - Epoch(train) [89][460/940] lr: 1.0000e-04 eta: 2:41:53 time: 0.8122 data_time: 0.1770 memory: 21548 grad_norm: 4.5760 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7477 loss: 0.7477 2022/08/01 22:54:49 - mmengine - INFO - Epoch(train) [89][480/940] lr: 1.0000e-04 eta: 2:41:35 time: 0.9091 data_time: 0.3022 memory: 21548 grad_norm: 4.4503 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7088 loss: 0.7088 2022/08/01 22:55:06 - mmengine - INFO - Epoch(train) [89][500/940] lr: 1.0000e-04 eta: 2:41:17 time: 0.8446 data_time: 0.1924 memory: 21548 grad_norm: 4.5777 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6848 loss: 0.6848 2022/08/01 22:55:22 - mmengine - INFO - Epoch(train) [89][520/940] lr: 1.0000e-04 eta: 2:40:59 time: 0.8085 data_time: 0.1427 memory: 21548 grad_norm: 4.4447 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6901 loss: 0.6901 2022/08/01 22:55:40 - mmengine - INFO - Epoch(train) [89][540/940] lr: 1.0000e-04 eta: 2:40:41 time: 0.8977 data_time: 0.0646 memory: 21548 grad_norm: 4.5214 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6898 loss: 0.6898 2022/08/01 22:55:57 - mmengine - INFO - Epoch(train) [89][560/940] lr: 1.0000e-04 eta: 2:40:23 time: 0.8410 data_time: 0.0386 memory: 21548 grad_norm: 4.4233 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.6244 loss: 0.6244 2022/08/01 22:56:14 - mmengine - INFO - Epoch(train) [89][580/940] lr: 1.0000e-04 eta: 2:40:05 time: 0.8453 data_time: 0.0376 memory: 21548 grad_norm: 4.6551 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6792 loss: 0.6792 2022/08/01 22:56:32 - mmengine - INFO - Epoch(train) [89][600/940] lr: 1.0000e-04 eta: 2:39:47 time: 0.9038 data_time: 0.0424 memory: 21548 grad_norm: 4.4684 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7803 loss: 0.7803 2022/08/01 22:56:50 - mmengine - INFO - Epoch(train) [89][620/940] lr: 1.0000e-04 eta: 2:39:29 time: 0.9141 data_time: 0.0367 memory: 21548 grad_norm: 4.3852 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7165 loss: 0.7165 2022/08/01 22:57:06 - mmengine - INFO - Epoch(train) [89][640/940] lr: 1.0000e-04 eta: 2:39:11 time: 0.7807 data_time: 0.0416 memory: 21548 grad_norm: 4.5519 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8121 loss: 0.8121 2022/08/01 22:57:24 - mmengine - INFO - Epoch(train) [89][660/940] lr: 1.0000e-04 eta: 2:38:53 time: 0.9014 data_time: 0.1118 memory: 21548 grad_norm: 4.4226 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6834 loss: 0.6834 2022/08/01 22:57:41 - mmengine - INFO - Epoch(train) [89][680/940] lr: 1.0000e-04 eta: 2:38:35 time: 0.8802 data_time: 0.0679 memory: 21548 grad_norm: 4.5558 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7727 loss: 0.7727 2022/08/01 22:57:57 - mmengine - INFO - Epoch(train) [89][700/940] lr: 1.0000e-04 eta: 2:38:16 time: 0.7793 data_time: 0.1969 memory: 21548 grad_norm: 4.6477 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7560 loss: 0.7560 2022/08/01 22:58:15 - mmengine - INFO - Epoch(train) [89][720/940] lr: 1.0000e-04 eta: 2:37:59 time: 0.9247 data_time: 0.3862 memory: 21548 grad_norm: 4.5422 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6795 loss: 0.6795 2022/08/01 22:58:32 - mmengine - INFO - Epoch(train) [89][740/940] lr: 1.0000e-04 eta: 2:37:40 time: 0.8182 data_time: 0.2841 memory: 21548 grad_norm: 4.7382 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8089 loss: 0.8089 2022/08/01 22:58:50 - mmengine - INFO - Epoch(train) [89][760/940] lr: 1.0000e-04 eta: 2:37:22 time: 0.9052 data_time: 0.3103 memory: 21548 grad_norm: 4.6021 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7501 loss: 0.7501 2022/08/01 22:59:07 - mmengine - INFO - Epoch(train) [89][780/940] lr: 1.0000e-04 eta: 2:37:04 time: 0.8334 data_time: 0.1700 memory: 21548 grad_norm: 4.5535 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.7313 loss: 0.7313 2022/08/01 22:59:24 - mmengine - INFO - Epoch(train) [89][800/940] lr: 1.0000e-04 eta: 2:36:46 time: 0.8516 data_time: 0.2365 memory: 21548 grad_norm: 4.5185 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6335 loss: 0.6335 2022/08/01 22:59:40 - mmengine - INFO - Epoch(train) [89][820/940] lr: 1.0000e-04 eta: 2:36:28 time: 0.8425 data_time: 0.1400 memory: 21548 grad_norm: 4.6375 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8381 loss: 0.8381 2022/08/01 22:59:58 - mmengine - INFO - Epoch(train) [89][840/940] lr: 1.0000e-04 eta: 2:36:10 time: 0.8655 data_time: 0.1673 memory: 21548 grad_norm: 4.5013 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6739 loss: 0.6739 2022/08/01 23:00:14 - mmengine - INFO - Epoch(train) [89][860/940] lr: 1.0000e-04 eta: 2:35:52 time: 0.8230 data_time: 0.0429 memory: 21548 grad_norm: 4.5597 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8606 loss: 0.8606 2022/08/01 23:00:31 - mmengine - INFO - Epoch(train) [89][880/940] lr: 1.0000e-04 eta: 2:35:34 time: 0.8599 data_time: 0.0612 memory: 21548 grad_norm: 4.5623 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6956 loss: 0.6956 2022/08/01 23:00:48 - mmengine - INFO - Epoch(train) [89][900/940] lr: 1.0000e-04 eta: 2:35:16 time: 0.8311 data_time: 0.0853 memory: 21548 grad_norm: 4.6365 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8733 loss: 0.8733 2022/08/01 23:01:06 - mmengine - INFO - Epoch(train) [89][920/940] lr: 1.0000e-04 eta: 2:34:58 time: 0.9174 data_time: 0.1278 memory: 21548 grad_norm: 4.4410 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7861 loss: 0.7861 2022/08/01 23:01:20 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 23:01:20 - mmengine - INFO - Epoch(train) [89][940/940] lr: 1.0000e-04 eta: 2:34:39 time: 0.6599 data_time: 0.1739 memory: 21548 grad_norm: 4.9213 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 0.6754 loss: 0.6754 2022/08/01 23:01:40 - mmengine - INFO - Epoch(val) [89][20/78] eta: 0:00:59 time: 1.0332 data_time: 0.9066 memory: 3271 2022/08/01 23:01:54 - mmengine - INFO - Epoch(val) [89][40/78] eta: 0:00:26 time: 0.6873 data_time: 0.5636 memory: 3271 2022/08/01 23:02:15 - mmengine - INFO - Epoch(val) [89][60/78] eta: 0:00:18 time: 1.0199 data_time: 0.8848 memory: 3271 2022/08/01 23:02:28 - mmengine - INFO - Epoch(val) [89][78/78] acc/top1: 0.7167 acc/top5: 0.8992 acc/mean1: 0.7166 2022/08/01 23:02:51 - mmengine - INFO - Epoch(train) [90][20/940] lr: 1.0000e-04 eta: 2:34:22 time: 1.1269 data_time: 0.5970 memory: 21548 grad_norm: 4.5400 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7066 loss: 0.7066 2022/08/01 23:03:06 - mmengine - INFO - Epoch(train) [90][40/940] lr: 1.0000e-04 eta: 2:34:04 time: 0.7543 data_time: 0.2686 memory: 21548 grad_norm: 4.6030 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8127 loss: 0.8127 2022/08/01 23:03:25 - mmengine - INFO - Epoch(train) [90][60/940] lr: 1.0000e-04 eta: 2:33:46 time: 0.9333 data_time: 0.3873 memory: 21548 grad_norm: 4.6099 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6703 loss: 0.6703 2022/08/01 23:03:40 - mmengine - INFO - Epoch(train) [90][80/940] lr: 1.0000e-04 eta: 2:33:28 time: 0.7751 data_time: 0.3163 memory: 21548 grad_norm: 4.4079 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.6941 loss: 0.6941 2022/08/01 23:03:58 - mmengine - INFO - Epoch(train) [90][100/940] lr: 1.0000e-04 eta: 2:33:10 time: 0.9115 data_time: 0.4344 memory: 21548 grad_norm: 4.4938 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7665 loss: 0.7665 2022/08/01 23:04:14 - mmengine - INFO - Epoch(train) [90][120/940] lr: 1.0000e-04 eta: 2:32:51 time: 0.7836 data_time: 0.2938 memory: 21548 grad_norm: 4.5010 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.7661 loss: 0.7661 2022/08/01 23:04:33 - mmengine - INFO - Epoch(train) [90][140/940] lr: 1.0000e-04 eta: 2:32:34 time: 0.9272 data_time: 0.4039 memory: 21548 grad_norm: 4.5210 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6833 loss: 0.6833 2022/08/01 23:04:48 - mmengine - INFO - Epoch(train) [90][160/940] lr: 1.0000e-04 eta: 2:32:15 time: 0.7955 data_time: 0.2867 memory: 21548 grad_norm: 4.5602 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7855 loss: 0.7855 2022/08/01 23:05:08 - mmengine - INFO - Epoch(train) [90][180/940] lr: 1.0000e-04 eta: 2:31:58 time: 0.9925 data_time: 0.2935 memory: 21548 grad_norm: 4.5448 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7164 loss: 0.7164 2022/08/01 23:05:23 - mmengine - INFO - Epoch(train) [90][200/940] lr: 1.0000e-04 eta: 2:31:39 time: 0.7409 data_time: 0.1034 memory: 21548 grad_norm: 4.5226 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7860 loss: 0.7860 2022/08/01 23:05:43 - mmengine - INFO - Epoch(train) [90][220/940] lr: 1.0000e-04 eta: 2:31:22 time: 0.9846 data_time: 0.2281 memory: 21548 grad_norm: 4.5178 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7832 loss: 0.7832 2022/08/01 23:05:58 - mmengine - INFO - Epoch(train) [90][240/940] lr: 1.0000e-04 eta: 2:31:03 time: 0.7445 data_time: 0.0891 memory: 21548 grad_norm: 4.5561 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7243 loss: 0.7243 2022/08/01 23:06:19 - mmengine - INFO - Epoch(train) [90][260/940] lr: 1.0000e-04 eta: 2:30:46 time: 1.0416 data_time: 0.1428 memory: 21548 grad_norm: 4.3769 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7526 loss: 0.7526 2022/08/01 23:06:33 - mmengine - INFO - Epoch(train) [90][280/940] lr: 1.0000e-04 eta: 2:30:27 time: 0.7190 data_time: 0.0299 memory: 21548 grad_norm: 4.5219 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7410 loss: 0.7410 2022/08/01 23:06:52 - mmengine - INFO - Epoch(train) [90][300/940] lr: 1.0000e-04 eta: 2:30:09 time: 0.9407 data_time: 0.0751 memory: 21548 grad_norm: 4.6030 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6937 loss: 0.6937 2022/08/01 23:07:08 - mmengine - INFO - Epoch(train) [90][320/940] lr: 1.0000e-04 eta: 2:29:51 time: 0.8219 data_time: 0.0797 memory: 21548 grad_norm: 4.5692 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7805 loss: 0.7805 2022/08/01 23:07:27 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 23:07:27 - mmengine - INFO - Epoch(train) [90][340/940] lr: 1.0000e-04 eta: 2:29:33 time: 0.9175 data_time: 0.1084 memory: 21548 grad_norm: 4.4167 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8076 loss: 0.8076 2022/08/01 23:07:41 - mmengine - INFO - Epoch(train) [90][360/940] lr: 1.0000e-04 eta: 2:29:15 time: 0.7359 data_time: 0.0577 memory: 21548 grad_norm: 4.6243 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8475 loss: 0.8475 2022/08/01 23:08:01 - mmengine - INFO - Epoch(train) [90][380/940] lr: 1.0000e-04 eta: 2:28:57 time: 0.9587 data_time: 0.1682 memory: 21548 grad_norm: 4.4377 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6530 loss: 0.6530 2022/08/01 23:08:15 - mmengine - INFO - Epoch(train) [90][400/940] lr: 1.0000e-04 eta: 2:28:39 time: 0.7251 data_time: 0.1681 memory: 21548 grad_norm: 4.5276 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7169 loss: 0.7169 2022/08/01 23:08:35 - mmengine - INFO - Epoch(train) [90][420/940] lr: 1.0000e-04 eta: 2:28:21 time: 1.0138 data_time: 0.1907 memory: 21548 grad_norm: 4.5468 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7079 loss: 0.7079 2022/08/01 23:08:51 - mmengine - INFO - Epoch(train) [90][440/940] lr: 1.0000e-04 eta: 2:28:03 time: 0.7821 data_time: 0.0360 memory: 21548 grad_norm: 4.4887 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6926 loss: 0.6926 2022/08/01 23:09:10 - mmengine - INFO - Epoch(train) [90][460/940] lr: 1.0000e-04 eta: 2:27:45 time: 0.9467 data_time: 0.0367 memory: 21548 grad_norm: 4.4482 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.7068 loss: 0.7068 2022/08/01 23:09:25 - mmengine - INFO - Epoch(train) [90][480/940] lr: 1.0000e-04 eta: 2:27:27 time: 0.7768 data_time: 0.0367 memory: 21548 grad_norm: 4.5371 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8262 loss: 0.8262 2022/08/01 23:09:44 - mmengine - INFO - Epoch(train) [90][500/940] lr: 1.0000e-04 eta: 2:27:09 time: 0.9225 data_time: 0.0352 memory: 21548 grad_norm: 4.5371 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7791 loss: 0.7791 2022/08/01 23:09:59 - mmengine - INFO - Epoch(train) [90][520/940] lr: 1.0000e-04 eta: 2:26:51 time: 0.7580 data_time: 0.0488 memory: 21548 grad_norm: 4.5244 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6711 loss: 0.6711 2022/08/01 23:10:17 - mmengine - INFO - Epoch(train) [90][540/940] lr: 1.0000e-04 eta: 2:26:33 time: 0.9177 data_time: 0.0354 memory: 21548 grad_norm: 4.5666 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7191 loss: 0.7191 2022/08/01 23:10:33 - mmengine - INFO - Epoch(train) [90][560/940] lr: 1.0000e-04 eta: 2:26:15 time: 0.7827 data_time: 0.0497 memory: 21548 grad_norm: 4.4966 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7047 loss: 0.7047 2022/08/01 23:10:51 - mmengine - INFO - Epoch(train) [90][580/940] lr: 1.0000e-04 eta: 2:25:57 time: 0.9187 data_time: 0.0813 memory: 21548 grad_norm: 4.5593 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7425 loss: 0.7425 2022/08/01 23:11:07 - mmengine - INFO - Epoch(train) [90][600/940] lr: 1.0000e-04 eta: 2:25:39 time: 0.7824 data_time: 0.0475 memory: 21548 grad_norm: 4.4523 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7478 loss: 0.7478 2022/08/01 23:11:26 - mmengine - INFO - Epoch(train) [90][620/940] lr: 1.0000e-04 eta: 2:25:21 time: 0.9453 data_time: 0.0773 memory: 21548 grad_norm: 4.5677 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6968 loss: 0.6968 2022/08/01 23:11:42 - mmengine - INFO - Epoch(train) [90][640/940] lr: 1.0000e-04 eta: 2:25:03 time: 0.8216 data_time: 0.0719 memory: 21548 grad_norm: 4.5252 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6570 loss: 0.6570 2022/08/01 23:12:01 - mmengine - INFO - Epoch(train) [90][660/940] lr: 1.0000e-04 eta: 2:24:45 time: 0.9072 data_time: 0.0364 memory: 21548 grad_norm: 4.4446 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7537 loss: 0.7537 2022/08/01 23:12:17 - mmengine - INFO - Epoch(train) [90][680/940] lr: 1.0000e-04 eta: 2:24:27 time: 0.7968 data_time: 0.1260 memory: 21548 grad_norm: 4.6466 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7671 loss: 0.7671 2022/08/01 23:12:36 - mmengine - INFO - Epoch(train) [90][700/940] lr: 1.0000e-04 eta: 2:24:09 time: 0.9527 data_time: 0.0387 memory: 21548 grad_norm: 4.5526 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7483 loss: 0.7483 2022/08/01 23:12:51 - mmengine - INFO - Epoch(train) [90][720/940] lr: 1.0000e-04 eta: 2:23:50 time: 0.7523 data_time: 0.0378 memory: 21548 grad_norm: 4.6136 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7486 loss: 0.7486 2022/08/01 23:13:09 - mmengine - INFO - Epoch(train) [90][740/940] lr: 1.0000e-04 eta: 2:23:33 time: 0.9292 data_time: 0.0431 memory: 21548 grad_norm: 4.4767 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7097 loss: 0.7097 2022/08/01 23:13:25 - mmengine - INFO - Epoch(train) [90][760/940] lr: 1.0000e-04 eta: 2:23:14 time: 0.8088 data_time: 0.0843 memory: 21548 grad_norm: 4.6012 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6703 loss: 0.6703 2022/08/01 23:13:43 - mmengine - INFO - Epoch(train) [90][780/940] lr: 1.0000e-04 eta: 2:22:56 time: 0.8707 data_time: 0.1157 memory: 21548 grad_norm: 4.4774 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7135 loss: 0.7135 2022/08/01 23:13:59 - mmengine - INFO - Epoch(train) [90][800/940] lr: 1.0000e-04 eta: 2:22:38 time: 0.8268 data_time: 0.0871 memory: 21548 grad_norm: 4.4203 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8024 loss: 0.8024 2022/08/01 23:14:19 - mmengine - INFO - Epoch(train) [90][820/940] lr: 1.0000e-04 eta: 2:22:21 time: 0.9589 data_time: 0.0371 memory: 21548 grad_norm: 4.6710 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7152 loss: 0.7152 2022/08/01 23:14:34 - mmengine - INFO - Epoch(train) [90][840/940] lr: 1.0000e-04 eta: 2:22:02 time: 0.7689 data_time: 0.0945 memory: 21548 grad_norm: 4.7317 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8241 loss: 0.8241 2022/08/01 23:14:52 - mmengine - INFO - Epoch(train) [90][860/940] lr: 1.0000e-04 eta: 2:21:44 time: 0.9068 data_time: 0.1111 memory: 21548 grad_norm: 4.4205 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7193 loss: 0.7193 2022/08/01 23:15:08 - mmengine - INFO - Epoch(train) [90][880/940] lr: 1.0000e-04 eta: 2:21:26 time: 0.7753 data_time: 0.1026 memory: 21548 grad_norm: 4.6155 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6853 loss: 0.6853 2022/08/01 23:15:25 - mmengine - INFO - Epoch(train) [90][900/940] lr: 1.0000e-04 eta: 2:21:08 time: 0.8712 data_time: 0.2640 memory: 21548 grad_norm: 4.5739 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.7028 loss: 0.7028 2022/08/01 23:15:46 - mmengine - INFO - Epoch(train) [90][920/940] lr: 1.0000e-04 eta: 2:20:51 time: 1.0240 data_time: 0.5720 memory: 21548 grad_norm: 4.3897 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.6712 loss: 0.6712 2022/08/01 23:15:58 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 23:15:58 - mmengine - INFO - Epoch(train) [90][940/940] lr: 1.0000e-04 eta: 2:20:32 time: 0.6373 data_time: 0.2204 memory: 21548 grad_norm: 4.8740 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.7191 loss: 0.7191 2022/08/01 23:15:58 - mmengine - INFO - Saving checkpoint at 90 epochs 2022/08/01 23:16:20 - mmengine - INFO - Epoch(val) [90][20/78] eta: 0:00:59 time: 1.0243 data_time: 0.8953 memory: 3271 2022/08/01 23:16:35 - mmengine - INFO - Epoch(val) [90][40/78] eta: 0:00:27 time: 0.7253 data_time: 0.6027 memory: 3271 2022/08/01 23:16:54 - mmengine - INFO - Epoch(val) [90][60/78] eta: 0:00:17 time: 0.9752 data_time: 0.8488 memory: 3271 2022/08/01 23:17:07 - mmengine - INFO - Epoch(val) [90][78/78] acc/top1: 0.7169 acc/top5: 0.9000 acc/mean1: 0.7168 2022/08/01 23:17:29 - mmengine - INFO - Epoch(train) [91][20/940] lr: 1.0000e-04 eta: 2:20:15 time: 1.1046 data_time: 0.6372 memory: 21548 grad_norm: 4.5451 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6889 loss: 0.6889 2022/08/01 23:17:45 - mmengine - INFO - Epoch(train) [91][40/940] lr: 1.0000e-04 eta: 2:19:56 time: 0.7663 data_time: 0.3241 memory: 21548 grad_norm: 4.4435 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6871 loss: 0.6871 2022/08/01 23:18:03 - mmengine - INFO - Epoch(train) [91][60/940] lr: 1.0000e-04 eta: 2:19:38 time: 0.9428 data_time: 0.4568 memory: 21548 grad_norm: 4.5285 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.7263 loss: 0.7263 2022/08/01 23:18:19 - mmengine - INFO - Epoch(train) [91][80/940] lr: 1.0000e-04 eta: 2:19:20 time: 0.7922 data_time: 0.2463 memory: 21548 grad_norm: 4.6211 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7170 loss: 0.7170 2022/08/01 23:18:38 - mmengine - INFO - Epoch(train) [91][100/940] lr: 1.0000e-04 eta: 2:19:02 time: 0.9429 data_time: 0.3522 memory: 21548 grad_norm: 4.5228 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7381 loss: 0.7381 2022/08/01 23:18:54 - mmengine - INFO - Epoch(train) [91][120/940] lr: 1.0000e-04 eta: 2:18:44 time: 0.7759 data_time: 0.1326 memory: 21548 grad_norm: 4.4175 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.7195 loss: 0.7195 2022/08/01 23:19:13 - mmengine - INFO - Epoch(train) [91][140/940] lr: 1.0000e-04 eta: 2:18:26 time: 0.9543 data_time: 0.0953 memory: 21548 grad_norm: 4.4365 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7021 loss: 0.7021 2022/08/01 23:19:28 - mmengine - INFO - Epoch(train) [91][160/940] lr: 1.0000e-04 eta: 2:18:08 time: 0.7410 data_time: 0.0926 memory: 21548 grad_norm: 4.6117 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7351 loss: 0.7351 2022/08/01 23:19:47 - mmengine - INFO - Epoch(train) [91][180/940] lr: 1.0000e-04 eta: 2:17:50 time: 0.9445 data_time: 0.0792 memory: 21548 grad_norm: 4.3986 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6561 loss: 0.6561 2022/08/01 23:20:02 - mmengine - INFO - Epoch(train) [91][200/940] lr: 1.0000e-04 eta: 2:17:32 time: 0.7951 data_time: 0.0344 memory: 21548 grad_norm: 4.6088 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8428 loss: 0.8428 2022/08/01 23:20:21 - mmengine - INFO - Epoch(train) [91][220/940] lr: 1.0000e-04 eta: 2:17:14 time: 0.9146 data_time: 0.0453 memory: 21548 grad_norm: 4.5259 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7156 loss: 0.7156 2022/08/01 23:20:37 - mmengine - INFO - Epoch(train) [91][240/940] lr: 1.0000e-04 eta: 2:16:56 time: 0.7933 data_time: 0.0337 memory: 21548 grad_norm: 4.5618 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8014 loss: 0.8014 2022/08/01 23:20:56 - mmengine - INFO - Epoch(train) [91][260/940] lr: 1.0000e-04 eta: 2:16:38 time: 0.9426 data_time: 0.0400 memory: 21548 grad_norm: 4.5702 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7667 loss: 0.7667 2022/08/01 23:21:11 - mmengine - INFO - Epoch(train) [91][280/940] lr: 1.0000e-04 eta: 2:16:20 time: 0.7505 data_time: 0.0447 memory: 21548 grad_norm: 4.5071 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7420 loss: 0.7420 2022/08/01 23:21:29 - mmengine - INFO - Epoch(train) [91][300/940] lr: 1.0000e-04 eta: 2:16:02 time: 0.9202 data_time: 0.0395 memory: 21548 grad_norm: 4.4889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6709 loss: 0.6709 2022/08/01 23:21:46 - mmengine - INFO - Epoch(train) [91][320/940] lr: 1.0000e-04 eta: 2:15:44 time: 0.8621 data_time: 0.0343 memory: 21548 grad_norm: 4.6441 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7338 loss: 0.7338 2022/08/01 23:22:03 - mmengine - INFO - Epoch(train) [91][340/940] lr: 1.0000e-04 eta: 2:15:26 time: 0.8385 data_time: 0.0518 memory: 21548 grad_norm: 4.4783 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7278 loss: 0.7278 2022/08/01 23:22:22 - mmengine - INFO - Epoch(train) [91][360/940] lr: 1.0000e-04 eta: 2:15:08 time: 0.9468 data_time: 0.0383 memory: 21548 grad_norm: 4.6118 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7553 loss: 0.7553 2022/08/01 23:22:37 - mmengine - INFO - Epoch(train) [91][380/940] lr: 1.0000e-04 eta: 2:14:50 time: 0.7740 data_time: 0.0414 memory: 21548 grad_norm: 4.4744 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7146 loss: 0.7146 2022/08/01 23:22:57 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 23:22:57 - mmengine - INFO - Epoch(train) [91][400/940] lr: 1.0000e-04 eta: 2:14:32 time: 0.9705 data_time: 0.0359 memory: 21548 grad_norm: 4.6078 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7461 loss: 0.7461 2022/08/01 23:23:12 - mmengine - INFO - Epoch(train) [91][420/940] lr: 1.0000e-04 eta: 2:14:14 time: 0.7701 data_time: 0.0374 memory: 21548 grad_norm: 4.5140 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7531 loss: 0.7531 2022/08/01 23:23:30 - mmengine - INFO - Epoch(train) [91][440/940] lr: 1.0000e-04 eta: 2:13:56 time: 0.8979 data_time: 0.0482 memory: 21548 grad_norm: 4.4054 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7414 loss: 0.7414 2022/08/01 23:23:47 - mmengine - INFO - Epoch(train) [91][460/940] lr: 1.0000e-04 eta: 2:13:38 time: 0.8157 data_time: 0.0351 memory: 21548 grad_norm: 4.6255 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7924 loss: 0.7924 2022/08/01 23:24:05 - mmengine - INFO - Epoch(train) [91][480/940] lr: 1.0000e-04 eta: 2:13:20 time: 0.9338 data_time: 0.0399 memory: 21548 grad_norm: 4.5872 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.7429 loss: 0.7429 2022/08/01 23:24:22 - mmengine - INFO - Epoch(train) [91][500/940] lr: 1.0000e-04 eta: 2:13:02 time: 0.8223 data_time: 0.0345 memory: 21548 grad_norm: 4.4449 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6258 loss: 0.6258 2022/08/01 23:24:39 - mmengine - INFO - Epoch(train) [91][520/940] lr: 1.0000e-04 eta: 2:12:44 time: 0.8787 data_time: 0.0420 memory: 21548 grad_norm: 4.5455 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7276 loss: 0.7276 2022/08/01 23:24:55 - mmengine - INFO - Epoch(train) [91][540/940] lr: 1.0000e-04 eta: 2:12:26 time: 0.8079 data_time: 0.0379 memory: 21548 grad_norm: 4.3781 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.6880 loss: 0.6880 2022/08/01 23:25:14 - mmengine - INFO - Epoch(train) [91][560/940] lr: 1.0000e-04 eta: 2:12:08 time: 0.9409 data_time: 0.0326 memory: 21548 grad_norm: 4.5786 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7794 loss: 0.7794 2022/08/01 23:25:29 - mmengine - INFO - Epoch(train) [91][580/940] lr: 1.0000e-04 eta: 2:11:50 time: 0.7504 data_time: 0.0440 memory: 21548 grad_norm: 4.4983 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7483 loss: 0.7483 2022/08/01 23:25:48 - mmengine - INFO - Epoch(train) [91][600/940] lr: 1.0000e-04 eta: 2:11:32 time: 0.9554 data_time: 0.0380 memory: 21548 grad_norm: 4.5750 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7513 loss: 0.7513 2022/08/01 23:26:04 - mmengine - INFO - Epoch(train) [91][620/940] lr: 1.0000e-04 eta: 2:11:14 time: 0.7704 data_time: 0.0415 memory: 21548 grad_norm: 4.6021 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8174 loss: 0.8174 2022/08/01 23:26:22 - mmengine - INFO - Epoch(train) [91][640/940] lr: 1.0000e-04 eta: 2:10:56 time: 0.8956 data_time: 0.0367 memory: 21548 grad_norm: 4.5417 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7527 loss: 0.7527 2022/08/01 23:26:38 - mmengine - INFO - Epoch(train) [91][660/940] lr: 1.0000e-04 eta: 2:10:38 time: 0.8326 data_time: 0.0391 memory: 21548 grad_norm: 4.4785 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7784 loss: 0.7784 2022/08/01 23:26:55 - mmengine - INFO - Epoch(train) [91][680/940] lr: 1.0000e-04 eta: 2:10:20 time: 0.8224 data_time: 0.0513 memory: 21548 grad_norm: 4.5269 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6618 loss: 0.6618 2022/08/01 23:27:14 - mmengine - INFO - Epoch(train) [91][700/940] lr: 1.0000e-04 eta: 2:10:02 time: 0.9389 data_time: 0.0381 memory: 21548 grad_norm: 4.5018 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6578 loss: 0.6578 2022/08/01 23:27:29 - mmengine - INFO - Epoch(train) [91][720/940] lr: 1.0000e-04 eta: 2:09:44 time: 0.7663 data_time: 0.0375 memory: 21548 grad_norm: 4.6126 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8115 loss: 0.8115 2022/08/01 23:27:48 - mmengine - INFO - Epoch(train) [91][740/940] lr: 1.0000e-04 eta: 2:09:26 time: 0.9486 data_time: 0.0357 memory: 21548 grad_norm: 4.4793 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6700 loss: 0.6700 2022/08/01 23:28:06 - mmengine - INFO - Epoch(train) [91][760/940] lr: 1.0000e-04 eta: 2:09:08 time: 0.9177 data_time: 0.0453 memory: 21548 grad_norm: 4.4710 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.6918 loss: 0.6918 2022/08/01 23:28:32 - mmengine - INFO - Epoch(train) [91][780/940] lr: 1.0000e-04 eta: 2:08:51 time: 1.2781 data_time: 0.0362 memory: 21548 grad_norm: 4.5069 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6605 loss: 0.6605 2022/08/01 23:28:48 - mmengine - INFO - Epoch(train) [91][800/940] lr: 1.0000e-04 eta: 2:08:33 time: 0.8155 data_time: 0.0301 memory: 21548 grad_norm: 4.6370 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7632 loss: 0.7632 2022/08/01 23:29:07 - mmengine - INFO - Epoch(train) [91][820/940] lr: 1.0000e-04 eta: 2:08:15 time: 0.9194 data_time: 0.0318 memory: 21548 grad_norm: 4.5637 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7410 loss: 0.7410 2022/08/01 23:29:22 - mmengine - INFO - Epoch(train) [91][840/940] lr: 1.0000e-04 eta: 2:07:57 time: 0.7755 data_time: 0.0436 memory: 21548 grad_norm: 4.5156 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7091 loss: 0.7091 2022/08/01 23:29:39 - mmengine - INFO - Epoch(train) [91][860/940] lr: 1.0000e-04 eta: 2:07:39 time: 0.8647 data_time: 0.0361 memory: 21548 grad_norm: 4.5935 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7224 loss: 0.7224 2022/08/01 23:29:55 - mmengine - INFO - Epoch(train) [91][880/940] lr: 1.0000e-04 eta: 2:07:20 time: 0.8005 data_time: 0.0388 memory: 21548 grad_norm: 4.4788 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.7084 loss: 0.7084 2022/08/01 23:30:14 - mmengine - INFO - Epoch(train) [91][900/940] lr: 1.0000e-04 eta: 2:07:03 time: 0.9335 data_time: 0.0387 memory: 21548 grad_norm: 4.4030 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6384 loss: 0.6384 2022/08/01 23:30:31 - mmengine - INFO - Epoch(train) [91][920/940] lr: 1.0000e-04 eta: 2:06:45 time: 0.8664 data_time: 0.0395 memory: 21548 grad_norm: 4.5550 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6695 loss: 0.6695 2022/08/01 23:30:44 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 23:30:44 - mmengine - INFO - Epoch(train) [91][940/940] lr: 1.0000e-04 eta: 2:06:26 time: 0.6500 data_time: 0.0259 memory: 21548 grad_norm: 4.8525 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.7684 loss: 0.7684 2022/08/01 23:31:05 - mmengine - INFO - Epoch(val) [91][20/78] eta: 0:00:58 time: 1.0130 data_time: 0.8884 memory: 3271 2022/08/01 23:31:19 - mmengine - INFO - Epoch(val) [91][40/78] eta: 0:00:27 time: 0.7319 data_time: 0.5876 memory: 3271 2022/08/01 23:31:39 - mmengine - INFO - Epoch(val) [91][60/78] eta: 0:00:17 time: 0.9875 data_time: 0.8635 memory: 3271 2022/08/01 23:31:55 - mmengine - INFO - Epoch(val) [91][78/78] acc/top1: 0.7168 acc/top5: 0.8986 acc/mean1: 0.7167 2022/08/01 23:32:17 - mmengine - INFO - Epoch(train) [92][20/940] lr: 1.0000e-04 eta: 2:06:09 time: 1.1153 data_time: 0.6584 memory: 21548 grad_norm: 4.5711 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7236 loss: 0.7236 2022/08/01 23:32:32 - mmengine - INFO - Epoch(train) [92][40/940] lr: 1.0000e-04 eta: 2:05:50 time: 0.7591 data_time: 0.3450 memory: 21548 grad_norm: 4.5267 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7941 loss: 0.7941 2022/08/01 23:32:51 - mmengine - INFO - Epoch(train) [92][60/940] lr: 1.0000e-04 eta: 2:05:33 time: 0.9617 data_time: 0.2854 memory: 21548 grad_norm: 4.5490 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.7957 loss: 0.7957 2022/08/01 23:33:08 - mmengine - INFO - Epoch(train) [92][80/940] lr: 1.0000e-04 eta: 2:05:15 time: 0.8048 data_time: 0.1238 memory: 21548 grad_norm: 4.6603 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7062 loss: 0.7062 2022/08/01 23:33:35 - mmengine - INFO - Epoch(train) [92][100/940] lr: 1.0000e-04 eta: 2:04:57 time: 1.3708 data_time: 0.1614 memory: 21548 grad_norm: 4.6186 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7388 loss: 0.7388 2022/08/01 23:33:54 - mmengine - INFO - Epoch(train) [92][120/940] lr: 1.0000e-04 eta: 2:04:40 time: 0.9449 data_time: 0.0409 memory: 21548 grad_norm: 4.5096 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6147 loss: 0.6147 2022/08/01 23:34:10 - mmengine - INFO - Epoch(train) [92][140/940] lr: 1.0000e-04 eta: 2:04:22 time: 0.7873 data_time: 0.1031 memory: 21548 grad_norm: 4.4571 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7441 loss: 0.7441 2022/08/01 23:34:29 - mmengine - INFO - Epoch(train) [92][160/940] lr: 1.0000e-04 eta: 2:04:04 time: 0.9545 data_time: 0.0556 memory: 21548 grad_norm: 4.5005 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6786 loss: 0.6786 2022/08/01 23:34:44 - mmengine - INFO - Epoch(train) [92][180/940] lr: 1.0000e-04 eta: 2:03:46 time: 0.7784 data_time: 0.1323 memory: 21548 grad_norm: 4.5421 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7504 loss: 0.7504 2022/08/01 23:35:04 - mmengine - INFO - Epoch(train) [92][200/940] lr: 1.0000e-04 eta: 2:03:28 time: 0.9692 data_time: 0.0337 memory: 21548 grad_norm: 4.5135 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7334 loss: 0.7334 2022/08/01 23:35:18 - mmengine - INFO - Epoch(train) [92][220/940] lr: 1.0000e-04 eta: 2:03:09 time: 0.6912 data_time: 0.0335 memory: 21548 grad_norm: 4.5170 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7334 loss: 0.7334 2022/08/01 23:35:37 - mmengine - INFO - Epoch(train) [92][240/940] lr: 1.0000e-04 eta: 2:02:52 time: 0.9603 data_time: 0.0412 memory: 21548 grad_norm: 4.4672 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7809 loss: 0.7809 2022/08/01 23:35:52 - mmengine - INFO - Epoch(train) [92][260/940] lr: 1.0000e-04 eta: 2:02:33 time: 0.7878 data_time: 0.0460 memory: 21548 grad_norm: 4.4865 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7296 loss: 0.7296 2022/08/01 23:36:10 - mmengine - INFO - Epoch(train) [92][280/940] lr: 1.0000e-04 eta: 2:02:15 time: 0.8923 data_time: 0.0421 memory: 21548 grad_norm: 4.4922 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7495 loss: 0.7495 2022/08/01 23:36:27 - mmengine - INFO - Epoch(train) [92][300/940] lr: 1.0000e-04 eta: 2:01:57 time: 0.8267 data_time: 0.0363 memory: 21548 grad_norm: 4.5470 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6874 loss: 0.6874 2022/08/01 23:36:46 - mmengine - INFO - Epoch(train) [92][320/940] lr: 1.0000e-04 eta: 2:01:40 time: 0.9546 data_time: 0.0370 memory: 21548 grad_norm: 4.4008 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6268 loss: 0.6268 2022/08/01 23:37:03 - mmengine - INFO - Epoch(train) [92][340/940] lr: 1.0000e-04 eta: 2:01:22 time: 0.8266 data_time: 0.0377 memory: 21548 grad_norm: 4.4312 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7703 loss: 0.7703 2022/08/01 23:37:21 - mmengine - INFO - Epoch(train) [92][360/940] lr: 1.0000e-04 eta: 2:01:04 time: 0.9053 data_time: 0.0365 memory: 21548 grad_norm: 4.5829 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7102 loss: 0.7102 2022/08/01 23:37:37 - mmengine - INFO - Epoch(train) [92][380/940] lr: 1.0000e-04 eta: 2:00:46 time: 0.8178 data_time: 0.0328 memory: 21548 grad_norm: 4.5542 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7736 loss: 0.7736 2022/08/01 23:37:55 - mmengine - INFO - Epoch(train) [92][400/940] lr: 1.0000e-04 eta: 2:00:28 time: 0.8751 data_time: 0.0453 memory: 21548 grad_norm: 4.4245 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7397 loss: 0.7397 2022/08/01 23:38:10 - mmengine - INFO - Epoch(train) [92][420/940] lr: 1.0000e-04 eta: 2:00:09 time: 0.7701 data_time: 0.0396 memory: 21548 grad_norm: 4.4166 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7774 loss: 0.7774 2022/08/01 23:38:35 - mmengine - INFO - Epoch(train) [92][440/940] lr: 1.0000e-04 eta: 1:59:52 time: 1.2486 data_time: 0.0358 memory: 21548 grad_norm: 4.6607 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7938 loss: 0.7938 2022/08/01 23:38:49 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 23:38:49 - mmengine - INFO - Epoch(train) [92][460/940] lr: 1.0000e-04 eta: 1:59:34 time: 0.6885 data_time: 0.0392 memory: 21548 grad_norm: 4.4703 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7349 loss: 0.7349 2022/08/01 23:39:08 - mmengine - INFO - Epoch(train) [92][480/940] lr: 1.0000e-04 eta: 1:59:16 time: 0.9538 data_time: 0.0508 memory: 21548 grad_norm: 4.5395 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8354 loss: 0.8354 2022/08/01 23:39:22 - mmengine - INFO - Epoch(train) [92][500/940] lr: 1.0000e-04 eta: 1:58:58 time: 0.7307 data_time: 0.0395 memory: 21548 grad_norm: 4.5169 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8328 loss: 0.8328 2022/08/01 23:39:41 - mmengine - INFO - Epoch(train) [92][520/940] lr: 1.0000e-04 eta: 1:58:40 time: 0.9254 data_time: 0.0328 memory: 21548 grad_norm: 4.5099 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6727 loss: 0.6727 2022/08/01 23:39:57 - mmengine - INFO - Epoch(train) [92][540/940] lr: 1.0000e-04 eta: 1:58:22 time: 0.7817 data_time: 0.0357 memory: 21548 grad_norm: 4.4751 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.6632 loss: 0.6632 2022/08/01 23:40:15 - mmengine - INFO - Epoch(train) [92][560/940] lr: 1.0000e-04 eta: 1:58:04 time: 0.9314 data_time: 0.0368 memory: 21548 grad_norm: 4.4574 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8455 loss: 0.8455 2022/08/01 23:40:31 - mmengine - INFO - Epoch(train) [92][580/940] lr: 1.0000e-04 eta: 1:57:46 time: 0.7726 data_time: 0.0421 memory: 21548 grad_norm: 4.5030 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7693 loss: 0.7693 2022/08/01 23:40:50 - mmengine - INFO - Epoch(train) [92][600/940] lr: 1.0000e-04 eta: 1:57:28 time: 0.9494 data_time: 0.0338 memory: 21548 grad_norm: 4.5305 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6730 loss: 0.6730 2022/08/01 23:41:07 - mmengine - INFO - Epoch(train) [92][620/940] lr: 1.0000e-04 eta: 1:57:10 time: 0.8455 data_time: 0.0409 memory: 21548 grad_norm: 4.4405 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7419 loss: 0.7419 2022/08/01 23:41:25 - mmengine - INFO - Epoch(train) [92][640/940] lr: 1.0000e-04 eta: 1:56:52 time: 0.9321 data_time: 0.0638 memory: 21548 grad_norm: 4.5097 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7740 loss: 0.7740 2022/08/01 23:41:42 - mmengine - INFO - Epoch(train) [92][660/940] lr: 1.0000e-04 eta: 1:56:34 time: 0.8365 data_time: 0.0366 memory: 21548 grad_norm: 4.5540 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7019 loss: 0.7019 2022/08/01 23:42:00 - mmengine - INFO - Epoch(train) [92][680/940] lr: 1.0000e-04 eta: 1:56:16 time: 0.8933 data_time: 0.0335 memory: 21548 grad_norm: 4.4796 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7787 loss: 0.7787 2022/08/01 23:42:17 - mmengine - INFO - Epoch(train) [92][700/940] lr: 1.0000e-04 eta: 1:55:58 time: 0.8510 data_time: 0.0372 memory: 21548 grad_norm: 4.5279 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7751 loss: 0.7751 2022/08/01 23:42:34 - mmengine - INFO - Epoch(train) [92][720/940] lr: 1.0000e-04 eta: 1:55:40 time: 0.8643 data_time: 0.0357 memory: 21548 grad_norm: 4.4799 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7048 loss: 0.7048 2022/08/01 23:42:49 - mmengine - INFO - Epoch(train) [92][740/940] lr: 1.0000e-04 eta: 1:55:22 time: 0.7377 data_time: 0.0369 memory: 21548 grad_norm: 4.5686 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7307 loss: 0.7307 2022/08/01 23:43:08 - mmengine - INFO - Epoch(train) [92][760/940] lr: 1.0000e-04 eta: 1:55:04 time: 0.9522 data_time: 0.0378 memory: 21548 grad_norm: 4.6399 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.7262 loss: 0.7262 2022/08/01 23:43:23 - mmengine - INFO - Epoch(train) [92][780/940] lr: 1.0000e-04 eta: 1:54:46 time: 0.7552 data_time: 0.0396 memory: 21548 grad_norm: 4.4056 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7656 loss: 0.7656 2022/08/01 23:43:43 - mmengine - INFO - Epoch(train) [92][800/940] lr: 1.0000e-04 eta: 1:54:28 time: 0.9848 data_time: 0.0364 memory: 21548 grad_norm: 4.5217 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7634 loss: 0.7634 2022/08/01 23:43:58 - mmengine - INFO - Epoch(train) [92][820/940] lr: 1.0000e-04 eta: 1:54:10 time: 0.7494 data_time: 0.0377 memory: 21548 grad_norm: 4.5322 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.7680 loss: 0.7680 2022/08/01 23:44:16 - mmengine - INFO - Epoch(train) [92][840/940] lr: 1.0000e-04 eta: 1:53:52 time: 0.9339 data_time: 0.0341 memory: 21548 grad_norm: 4.4663 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6995 loss: 0.6995 2022/08/01 23:44:32 - mmengine - INFO - Epoch(train) [92][860/940] lr: 1.0000e-04 eta: 1:53:34 time: 0.7823 data_time: 0.0364 memory: 21548 grad_norm: 4.4882 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6783 loss: 0.6783 2022/08/01 23:44:51 - mmengine - INFO - Epoch(train) [92][880/940] lr: 1.0000e-04 eta: 1:53:16 time: 0.9508 data_time: 0.0316 memory: 21548 grad_norm: 4.5054 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6777 loss: 0.6777 2022/08/01 23:45:07 - mmengine - INFO - Epoch(train) [92][900/940] lr: 1.0000e-04 eta: 1:52:58 time: 0.7714 data_time: 0.0349 memory: 21548 grad_norm: 4.6245 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7386 loss: 0.7386 2022/08/01 23:45:24 - mmengine - INFO - Epoch(train) [92][920/940] lr: 1.0000e-04 eta: 1:52:40 time: 0.8769 data_time: 0.0431 memory: 21548 grad_norm: 4.6468 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7957 loss: 0.7957 2022/08/01 23:45:37 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 23:45:37 - mmengine - INFO - Epoch(train) [92][940/940] lr: 1.0000e-04 eta: 1:52:21 time: 0.6602 data_time: 0.0446 memory: 21548 grad_norm: 4.9265 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 0.8735 loss: 0.8735 2022/08/01 23:45:58 - mmengine - INFO - Epoch(val) [92][20/78] eta: 0:00:58 time: 1.0055 data_time: 0.8624 memory: 3271 2022/08/01 23:46:12 - mmengine - INFO - Epoch(val) [92][40/78] eta: 0:00:26 time: 0.7021 data_time: 0.5820 memory: 3271 2022/08/01 23:46:31 - mmengine - INFO - Epoch(val) [92][60/78] eta: 0:00:17 time: 0.9721 data_time: 0.8465 memory: 3271 2022/08/01 23:46:45 - mmengine - INFO - Epoch(val) [92][78/78] acc/top1: 0.7179 acc/top5: 0.8998 acc/mean1: 0.7178 2022/08/01 23:47:09 - mmengine - INFO - Epoch(train) [93][20/940] lr: 1.0000e-04 eta: 1:52:04 time: 1.1625 data_time: 0.6874 memory: 21548 grad_norm: 4.4694 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7460 loss: 0.7460 2022/08/01 23:47:25 - mmengine - INFO - Epoch(train) [93][40/940] lr: 1.0000e-04 eta: 1:51:46 time: 0.8043 data_time: 0.3224 memory: 21548 grad_norm: 4.5740 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6682 loss: 0.6682 2022/08/01 23:47:45 - mmengine - INFO - Epoch(train) [93][60/940] lr: 1.0000e-04 eta: 1:51:28 time: 1.0071 data_time: 0.2356 memory: 21548 grad_norm: 4.5694 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.7150 loss: 0.7150 2022/08/01 23:47:59 - mmengine - INFO - Epoch(train) [93][80/940] lr: 1.0000e-04 eta: 1:51:10 time: 0.7167 data_time: 0.0825 memory: 21548 grad_norm: 4.6580 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7306 loss: 0.7306 2022/08/01 23:48:18 - mmengine - INFO - Epoch(train) [93][100/940] lr: 1.0000e-04 eta: 1:50:52 time: 0.9177 data_time: 0.1659 memory: 21548 grad_norm: 4.5540 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.7121 loss: 0.7121 2022/08/01 23:48:33 - mmengine - INFO - Epoch(train) [93][120/940] lr: 1.0000e-04 eta: 1:50:34 time: 0.7691 data_time: 0.2841 memory: 21548 grad_norm: 4.5048 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6919 loss: 0.6919 2022/08/01 23:48:52 - mmengine - INFO - Epoch(train) [93][140/940] lr: 1.0000e-04 eta: 1:50:16 time: 0.9200 data_time: 0.5067 memory: 21548 grad_norm: 4.6036 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6897 loss: 0.6897 2022/08/01 23:49:07 - mmengine - INFO - Epoch(train) [93][160/940] lr: 1.0000e-04 eta: 1:49:58 time: 0.7743 data_time: 0.3043 memory: 21548 grad_norm: 4.5467 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7396 loss: 0.7396 2022/08/01 23:49:26 - mmengine - INFO - Epoch(train) [93][180/940] lr: 1.0000e-04 eta: 1:49:40 time: 0.9352 data_time: 0.4107 memory: 21548 grad_norm: 4.5647 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7130 loss: 0.7130 2022/08/01 23:49:41 - mmengine - INFO - Epoch(train) [93][200/940] lr: 1.0000e-04 eta: 1:49:22 time: 0.7567 data_time: 0.3040 memory: 21548 grad_norm: 4.6638 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8136 loss: 0.8136 2022/08/01 23:50:00 - mmengine - INFO - Epoch(train) [93][220/940] lr: 1.0000e-04 eta: 1:49:04 time: 0.9424 data_time: 0.4537 memory: 21548 grad_norm: 4.5653 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.7048 loss: 0.7048 2022/08/01 23:50:15 - mmengine - INFO - Epoch(train) [93][240/940] lr: 1.0000e-04 eta: 1:48:46 time: 0.7708 data_time: 0.3628 memory: 21548 grad_norm: 4.6546 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8095 loss: 0.8095 2022/08/01 23:50:36 - mmengine - INFO - Epoch(train) [93][260/940] lr: 1.0000e-04 eta: 1:48:28 time: 1.0345 data_time: 0.5774 memory: 21548 grad_norm: 4.4084 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7570 loss: 0.7570 2022/08/01 23:50:50 - mmengine - INFO - Epoch(train) [93][280/940] lr: 1.0000e-04 eta: 1:48:10 time: 0.7251 data_time: 0.3121 memory: 21548 grad_norm: 4.4491 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8454 loss: 0.8454 2022/08/01 23:51:08 - mmengine - INFO - Epoch(train) [93][300/940] lr: 1.0000e-04 eta: 1:47:52 time: 0.8959 data_time: 0.4304 memory: 21548 grad_norm: 4.4843 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7228 loss: 0.7228 2022/08/01 23:51:24 - mmengine - INFO - Epoch(train) [93][320/940] lr: 1.0000e-04 eta: 1:47:34 time: 0.7725 data_time: 0.3180 memory: 21548 grad_norm: 4.5957 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8462 loss: 0.8462 2022/08/01 23:51:42 - mmengine - INFO - Epoch(train) [93][340/940] lr: 1.0000e-04 eta: 1:47:16 time: 0.8962 data_time: 0.3960 memory: 21548 grad_norm: 4.5365 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 0.6943 loss: 0.6943 2022/08/01 23:51:59 - mmengine - INFO - Epoch(train) [93][360/940] lr: 1.0000e-04 eta: 1:46:58 time: 0.8614 data_time: 0.2018 memory: 21548 grad_norm: 4.6229 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7670 loss: 0.7670 2022/08/01 23:52:18 - mmengine - INFO - Epoch(train) [93][380/940] lr: 1.0000e-04 eta: 1:46:40 time: 0.9406 data_time: 0.4104 memory: 21548 grad_norm: 4.5374 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7557 loss: 0.7557 2022/08/01 23:52:34 - mmengine - INFO - Epoch(train) [93][400/940] lr: 1.0000e-04 eta: 1:46:22 time: 0.8347 data_time: 0.3011 memory: 21548 grad_norm: 4.4950 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6431 loss: 0.6431 2022/08/01 23:52:53 - mmengine - INFO - Epoch(train) [93][420/940] lr: 1.0000e-04 eta: 1:46:04 time: 0.9187 data_time: 0.4743 memory: 21548 grad_norm: 4.7114 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7299 loss: 0.7299 2022/08/01 23:53:09 - mmengine - INFO - Epoch(train) [93][440/940] lr: 1.0000e-04 eta: 1:45:46 time: 0.7971 data_time: 0.3267 memory: 21548 grad_norm: 4.4920 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.8076 loss: 0.8076 2022/08/01 23:53:27 - mmengine - INFO - Epoch(train) [93][460/940] lr: 1.0000e-04 eta: 1:45:28 time: 0.9286 data_time: 0.5037 memory: 21548 grad_norm: 4.5687 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.7298 loss: 0.7298 2022/08/01 23:53:43 - mmengine - INFO - Epoch(train) [93][480/940] lr: 1.0000e-04 eta: 1:45:10 time: 0.7897 data_time: 0.3550 memory: 21548 grad_norm: 4.5481 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7253 loss: 0.7253 2022/08/01 23:54:02 - mmengine - INFO - Epoch(train) [93][500/940] lr: 1.0000e-04 eta: 1:44:52 time: 0.9589 data_time: 0.5355 memory: 21548 grad_norm: 4.4084 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7199 loss: 0.7199 2022/08/01 23:54:18 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/01 23:54:18 - mmengine - INFO - Epoch(train) [93][520/940] lr: 1.0000e-04 eta: 1:44:34 time: 0.7977 data_time: 0.3618 memory: 21548 grad_norm: 4.5944 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6960 loss: 0.6960 2022/08/01 23:54:36 - mmengine - INFO - Epoch(train) [93][540/940] lr: 1.0000e-04 eta: 1:44:16 time: 0.8942 data_time: 0.4040 memory: 21548 grad_norm: 4.4926 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8801 loss: 0.8801 2022/08/01 23:54:51 - mmengine - INFO - Epoch(train) [93][560/940] lr: 1.0000e-04 eta: 1:43:58 time: 0.7426 data_time: 0.3038 memory: 21548 grad_norm: 4.4958 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7507 loss: 0.7507 2022/08/01 23:55:10 - mmengine - INFO - Epoch(train) [93][580/940] lr: 1.0000e-04 eta: 1:43:40 time: 0.9262 data_time: 0.4740 memory: 21548 grad_norm: 4.5322 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7251 loss: 0.7251 2022/08/01 23:55:26 - mmengine - INFO - Epoch(train) [93][600/940] lr: 1.0000e-04 eta: 1:43:22 time: 0.8009 data_time: 0.3841 memory: 21548 grad_norm: 4.5616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7167 loss: 0.7167 2022/08/01 23:55:44 - mmengine - INFO - Epoch(train) [93][620/940] lr: 1.0000e-04 eta: 1:43:04 time: 0.9384 data_time: 0.4371 memory: 21548 grad_norm: 4.5548 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6683 loss: 0.6683 2022/08/01 23:56:00 - mmengine - INFO - Epoch(train) [93][640/940] lr: 1.0000e-04 eta: 1:42:46 time: 0.7820 data_time: 0.3150 memory: 21548 grad_norm: 4.4461 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7239 loss: 0.7239 2022/08/01 23:56:19 - mmengine - INFO - Epoch(train) [93][660/940] lr: 1.0000e-04 eta: 1:42:28 time: 0.9230 data_time: 0.3934 memory: 21548 grad_norm: 4.6209 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7945 loss: 0.7945 2022/08/01 23:56:36 - mmengine - INFO - Epoch(train) [93][680/940] lr: 1.0000e-04 eta: 1:42:10 time: 0.8638 data_time: 0.3784 memory: 21548 grad_norm: 4.5959 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.7375 loss: 0.7375 2022/08/01 23:56:55 - mmengine - INFO - Epoch(train) [93][700/940] lr: 1.0000e-04 eta: 1:41:52 time: 0.9776 data_time: 0.5085 memory: 21548 grad_norm: 4.6355 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7410 loss: 0.7410 2022/08/01 23:57:10 - mmengine - INFO - Epoch(train) [93][720/940] lr: 1.0000e-04 eta: 1:41:34 time: 0.7174 data_time: 0.2956 memory: 21548 grad_norm: 4.6243 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7584 loss: 0.7584 2022/08/01 23:57:29 - mmengine - INFO - Epoch(train) [93][740/940] lr: 1.0000e-04 eta: 1:41:16 time: 0.9421 data_time: 0.4512 memory: 21548 grad_norm: 4.6148 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7092 loss: 0.7092 2022/08/01 23:57:44 - mmengine - INFO - Epoch(train) [93][760/940] lr: 1.0000e-04 eta: 1:40:58 time: 0.7870 data_time: 0.3185 memory: 21548 grad_norm: 4.4838 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6766 loss: 0.6766 2022/08/01 23:58:03 - mmengine - INFO - Epoch(train) [93][780/940] lr: 1.0000e-04 eta: 1:40:40 time: 0.9301 data_time: 0.4594 memory: 21548 grad_norm: 4.4654 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7083 loss: 0.7083 2022/08/01 23:58:19 - mmengine - INFO - Epoch(train) [93][800/940] lr: 1.0000e-04 eta: 1:40:22 time: 0.8210 data_time: 0.3497 memory: 21548 grad_norm: 4.5349 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7525 loss: 0.7525 2022/08/01 23:58:37 - mmengine - INFO - Epoch(train) [93][820/940] lr: 1.0000e-04 eta: 1:40:04 time: 0.8577 data_time: 0.4017 memory: 21548 grad_norm: 4.6042 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7300 loss: 0.7300 2022/08/01 23:58:52 - mmengine - INFO - Epoch(train) [93][840/940] lr: 1.0000e-04 eta: 1:39:46 time: 0.7857 data_time: 0.3626 memory: 21548 grad_norm: 4.6556 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8546 loss: 0.8546 2022/08/01 23:59:12 - mmengine - INFO - Epoch(train) [93][860/940] lr: 1.0000e-04 eta: 1:39:28 time: 0.9894 data_time: 0.5016 memory: 21548 grad_norm: 4.5878 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7425 loss: 0.7425 2022/08/01 23:59:27 - mmengine - INFO - Epoch(train) [93][880/940] lr: 1.0000e-04 eta: 1:39:10 time: 0.7549 data_time: 0.3085 memory: 21548 grad_norm: 4.4878 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7861 loss: 0.7861 2022/08/01 23:59:46 - mmengine - INFO - Epoch(train) [93][900/940] lr: 1.0000e-04 eta: 1:38:52 time: 0.9392 data_time: 0.4583 memory: 21548 grad_norm: 4.6553 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7521 loss: 0.7521 2022/08/02 00:00:01 - mmengine - INFO - Epoch(train) [93][920/940] lr: 1.0000e-04 eta: 1:38:34 time: 0.7374 data_time: 0.3034 memory: 21548 grad_norm: 4.5131 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7767 loss: 0.7767 2022/08/02 00:00:18 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/02 00:00:18 - mmengine - INFO - Epoch(train) [93][940/940] lr: 1.0000e-04 eta: 1:38:16 time: 0.8418 data_time: 0.4262 memory: 21548 grad_norm: 4.9036 top1_acc: 0.2857 top5_acc: 0.2857 loss_cls: 0.8474 loss: 0.8474 2022/08/02 00:00:18 - mmengine - INFO - Saving checkpoint at 93 epochs 2022/08/02 00:00:39 - mmengine - INFO - Epoch(val) [93][20/78] eta: 0:00:59 time: 1.0236 data_time: 0.9017 memory: 3271 2022/08/02 00:00:53 - mmengine - INFO - Epoch(val) [93][40/78] eta: 0:00:26 time: 0.6919 data_time: 0.5714 memory: 3271 2022/08/02 00:01:13 - mmengine - INFO - Epoch(val) [93][60/78] eta: 0:00:17 time: 0.9684 data_time: 0.8464 memory: 3271 2022/08/02 00:01:27 - mmengine - INFO - Epoch(val) [93][78/78] acc/top1: 0.7174 acc/top5: 0.8991 acc/mean1: 0.7173 2022/08/02 00:01:49 - mmengine - INFO - Epoch(train) [94][20/940] lr: 1.0000e-04 eta: 1:37:59 time: 1.0935 data_time: 0.5678 memory: 21548 grad_norm: 4.6226 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7342 loss: 0.7342 2022/08/02 00:02:09 - mmengine - INFO - Epoch(train) [94][40/940] lr: 1.0000e-04 eta: 1:37:41 time: 1.0085 data_time: 0.3471 memory: 21548 grad_norm: 4.4947 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7187 loss: 0.7187 2022/08/02 00:02:34 - mmengine - INFO - Epoch(train) [94][60/940] lr: 1.0000e-04 eta: 1:37:23 time: 1.2294 data_time: 0.1271 memory: 21548 grad_norm: 4.4555 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7287 loss: 0.7287 2022/08/02 00:02:58 - mmengine - INFO - Epoch(train) [94][80/940] lr: 1.0000e-04 eta: 1:37:06 time: 1.2019 data_time: 0.0445 memory: 21548 grad_norm: 4.6416 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8093 loss: 0.8093 2022/08/02 00:03:16 - mmengine - INFO - Epoch(train) [94][100/940] lr: 1.0000e-04 eta: 1:36:48 time: 0.9017 data_time: 0.0328 memory: 21548 grad_norm: 4.4379 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7667 loss: 0.7667 2022/08/02 00:03:31 - mmengine - INFO - Epoch(train) [94][120/940] lr: 1.0000e-04 eta: 1:36:30 time: 0.7553 data_time: 0.0392 memory: 21548 grad_norm: 4.5116 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7333 loss: 0.7333 2022/08/02 00:03:49 - mmengine - INFO - Epoch(train) [94][140/940] lr: 1.0000e-04 eta: 1:36:12 time: 0.9001 data_time: 0.0406 memory: 21548 grad_norm: 4.4785 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8162 loss: 0.8162 2022/08/02 00:04:07 - mmengine - INFO - Epoch(train) [94][160/940] lr: 1.0000e-04 eta: 1:35:54 time: 0.8867 data_time: 0.0776 memory: 21548 grad_norm: 4.4988 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6884 loss: 0.6884 2022/08/02 00:04:28 - mmengine - INFO - Epoch(train) [94][180/940] lr: 1.0000e-04 eta: 1:35:36 time: 1.0667 data_time: 0.0336 memory: 21548 grad_norm: 4.3576 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7719 loss: 0.7719 2022/08/02 00:04:44 - mmengine - INFO - Epoch(train) [94][200/940] lr: 1.0000e-04 eta: 1:35:18 time: 0.7736 data_time: 0.0319 memory: 21548 grad_norm: 4.4176 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7233 loss: 0.7233 2022/08/02 00:05:02 - mmengine - INFO - Epoch(train) [94][220/940] lr: 1.0000e-04 eta: 1:35:00 time: 0.9468 data_time: 0.0449 memory: 21548 grad_norm: 4.5249 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7117 loss: 0.7117 2022/08/02 00:05:18 - mmengine - INFO - Epoch(train) [94][240/940] lr: 1.0000e-04 eta: 1:34:42 time: 0.7534 data_time: 0.0335 memory: 21548 grad_norm: 4.5203 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6940 loss: 0.6940 2022/08/02 00:05:38 - mmengine - INFO - Epoch(train) [94][260/940] lr: 1.0000e-04 eta: 1:34:25 time: 1.0010 data_time: 0.0422 memory: 21548 grad_norm: 4.4480 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7218 loss: 0.7218 2022/08/02 00:05:55 - mmengine - INFO - Epoch(train) [94][280/940] lr: 1.0000e-04 eta: 1:34:07 time: 0.8740 data_time: 0.0359 memory: 21548 grad_norm: 4.6522 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7057 loss: 0.7057 2022/08/02 00:06:14 - mmengine - INFO - Epoch(train) [94][300/940] lr: 1.0000e-04 eta: 1:33:49 time: 0.9610 data_time: 0.0379 memory: 21548 grad_norm: 4.4163 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7680 loss: 0.7680 2022/08/02 00:06:33 - mmengine - INFO - Epoch(train) [94][320/940] lr: 1.0000e-04 eta: 1:33:31 time: 0.9320 data_time: 0.0329 memory: 21548 grad_norm: 4.6308 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8311 loss: 0.8311 2022/08/02 00:06:49 - mmengine - INFO - Epoch(train) [94][340/940] lr: 1.0000e-04 eta: 1:33:13 time: 0.8175 data_time: 0.0374 memory: 21548 grad_norm: 4.5411 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6852 loss: 0.6852 2022/08/02 00:07:06 - mmengine - INFO - Epoch(train) [94][360/940] lr: 1.0000e-04 eta: 1:32:55 time: 0.8400 data_time: 0.0309 memory: 21548 grad_norm: 4.5026 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6860 loss: 0.6860 2022/08/02 00:07:23 - mmengine - INFO - Epoch(train) [94][380/940] lr: 1.0000e-04 eta: 1:32:37 time: 0.8612 data_time: 0.0631 memory: 21548 grad_norm: 4.6971 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7069 loss: 0.7069 2022/08/02 00:07:42 - mmengine - INFO - Epoch(train) [94][400/940] lr: 1.0000e-04 eta: 1:32:19 time: 0.9096 data_time: 0.0372 memory: 21548 grad_norm: 4.4324 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7308 loss: 0.7308 2022/08/02 00:07:57 - mmengine - INFO - Epoch(train) [94][420/940] lr: 1.0000e-04 eta: 1:32:01 time: 0.7849 data_time: 0.0383 memory: 21548 grad_norm: 4.4832 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.7281 loss: 0.7281 2022/08/02 00:08:16 - mmengine - INFO - Epoch(train) [94][440/940] lr: 1.0000e-04 eta: 1:31:43 time: 0.9184 data_time: 0.0333 memory: 21548 grad_norm: 4.6031 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6980 loss: 0.6980 2022/08/02 00:08:32 - mmengine - INFO - Epoch(train) [94][460/940] lr: 1.0000e-04 eta: 1:31:25 time: 0.8212 data_time: 0.0405 memory: 21548 grad_norm: 4.4888 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7564 loss: 0.7564 2022/08/02 00:08:50 - mmengine - INFO - Epoch(train) [94][480/940] lr: 1.0000e-04 eta: 1:31:07 time: 0.9042 data_time: 0.0346 memory: 21548 grad_norm: 4.5609 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.7723 loss: 0.7723 2022/08/02 00:09:07 - mmengine - INFO - Epoch(train) [94][500/940] lr: 1.0000e-04 eta: 1:30:49 time: 0.8539 data_time: 0.0509 memory: 21548 grad_norm: 4.5400 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 0.7223 loss: 0.7223 2022/08/02 00:09:24 - mmengine - INFO - Epoch(train) [94][520/940] lr: 1.0000e-04 eta: 1:30:31 time: 0.8169 data_time: 0.0485 memory: 21548 grad_norm: 4.4845 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6730 loss: 0.6730 2022/08/02 00:09:41 - mmengine - INFO - Epoch(train) [94][540/940] lr: 1.0000e-04 eta: 1:30:13 time: 0.8683 data_time: 0.0369 memory: 21548 grad_norm: 4.5676 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8437 loss: 0.8437 2022/08/02 00:09:58 - mmengine - INFO - Epoch(train) [94][560/940] lr: 1.0000e-04 eta: 1:29:55 time: 0.8614 data_time: 0.0365 memory: 21548 grad_norm: 4.5241 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.7633 loss: 0.7633 2022/08/02 00:10:20 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/02 00:10:20 - mmengine - INFO - Epoch(train) [94][580/940] lr: 1.0000e-04 eta: 1:29:37 time: 1.1022 data_time: 0.0357 memory: 21548 grad_norm: 4.4844 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7903 loss: 0.7903 2022/08/02 00:10:35 - mmengine - INFO - Epoch(train) [94][600/940] lr: 1.0000e-04 eta: 1:29:19 time: 0.7586 data_time: 0.0357 memory: 21548 grad_norm: 4.6266 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7436 loss: 0.7436 2022/08/02 00:10:53 - mmengine - INFO - Epoch(train) [94][620/940] lr: 1.0000e-04 eta: 1:29:01 time: 0.9026 data_time: 0.0391 memory: 21548 grad_norm: 4.4201 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6128 loss: 0.6128 2022/08/02 00:11:09 - mmengine - INFO - Epoch(train) [94][640/940] lr: 1.0000e-04 eta: 1:28:43 time: 0.7883 data_time: 0.0347 memory: 21548 grad_norm: 4.4609 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7097 loss: 0.7097 2022/08/02 00:11:27 - mmengine - INFO - Epoch(train) [94][660/940] lr: 1.0000e-04 eta: 1:28:25 time: 0.9082 data_time: 0.0475 memory: 21548 grad_norm: 4.5474 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6558 loss: 0.6558 2022/08/02 00:11:44 - mmengine - INFO - Epoch(train) [94][680/940] lr: 1.0000e-04 eta: 1:28:07 time: 0.8379 data_time: 0.0387 memory: 21548 grad_norm: 4.6318 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6860 loss: 0.6860 2022/08/02 00:12:02 - mmengine - INFO - Epoch(train) [94][700/940] lr: 1.0000e-04 eta: 1:27:49 time: 0.8710 data_time: 0.0481 memory: 21548 grad_norm: 4.3067 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6466 loss: 0.6466 2022/08/02 00:12:18 - mmengine - INFO - Epoch(train) [94][720/940] lr: 1.0000e-04 eta: 1:27:31 time: 0.8033 data_time: 0.0319 memory: 21548 grad_norm: 4.5786 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7387 loss: 0.7387 2022/08/02 00:12:36 - mmengine - INFO - Epoch(train) [94][740/940] lr: 1.0000e-04 eta: 1:27:14 time: 0.9317 data_time: 0.0519 memory: 21548 grad_norm: 4.3788 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7239 loss: 0.7239 2022/08/02 00:12:53 - mmengine - INFO - Epoch(train) [94][760/940] lr: 1.0000e-04 eta: 1:26:55 time: 0.8087 data_time: 0.0316 memory: 21548 grad_norm: 4.4244 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7095 loss: 0.7095 2022/08/02 00:13:09 - mmengine - INFO - Epoch(train) [94][780/940] lr: 1.0000e-04 eta: 1:26:37 time: 0.8310 data_time: 0.0380 memory: 21548 grad_norm: 4.7180 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6917 loss: 0.6917 2022/08/02 00:13:28 - mmengine - INFO - Epoch(train) [94][800/940] lr: 1.0000e-04 eta: 1:26:20 time: 0.9461 data_time: 0.0414 memory: 21548 grad_norm: 4.5817 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6607 loss: 0.6607 2022/08/02 00:13:42 - mmengine - INFO - Epoch(train) [94][820/940] lr: 1.0000e-04 eta: 1:26:01 time: 0.7073 data_time: 0.0438 memory: 21548 grad_norm: 4.5010 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6585 loss: 0.6585 2022/08/02 00:14:00 - mmengine - INFO - Epoch(train) [94][840/940] lr: 1.0000e-04 eta: 1:25:44 time: 0.8948 data_time: 0.0368 memory: 21548 grad_norm: 4.5010 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7303 loss: 0.7303 2022/08/02 00:14:18 - mmengine - INFO - Epoch(train) [94][860/940] lr: 1.0000e-04 eta: 1:25:26 time: 0.8808 data_time: 0.0364 memory: 21548 grad_norm: 4.5868 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7387 loss: 0.7387 2022/08/02 00:14:34 - mmengine - INFO - Epoch(train) [94][880/940] lr: 1.0000e-04 eta: 1:25:08 time: 0.8062 data_time: 0.0485 memory: 21548 grad_norm: 4.5808 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7855 loss: 0.7855 2022/08/02 00:14:53 - mmengine - INFO - Epoch(train) [94][900/940] lr: 1.0000e-04 eta: 1:24:50 time: 0.9435 data_time: 0.0386 memory: 21548 grad_norm: 4.5486 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.7656 loss: 0.7656 2022/08/02 00:15:10 - mmengine - INFO - Epoch(train) [94][920/940] lr: 1.0000e-04 eta: 1:24:32 time: 0.8488 data_time: 0.0425 memory: 21548 grad_norm: 4.5592 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8427 loss: 0.8427 2022/08/02 00:15:25 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/02 00:15:25 - mmengine - INFO - Epoch(train) [94][940/940] lr: 1.0000e-04 eta: 1:24:14 time: 0.7549 data_time: 0.0288 memory: 21548 grad_norm: 4.9023 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.7924 loss: 0.7924 2022/08/02 00:15:46 - mmengine - INFO - Epoch(val) [94][20/78] eta: 0:01:00 time: 1.0360 data_time: 0.9041 memory: 3271 2022/08/02 00:16:00 - mmengine - INFO - Epoch(val) [94][40/78] eta: 0:00:27 time: 0.7137 data_time: 0.5896 memory: 3271 2022/08/02 00:16:19 - mmengine - INFO - Epoch(val) [94][60/78] eta: 0:00:17 time: 0.9684 data_time: 0.8341 memory: 3271 2022/08/02 00:16:36 - mmengine - INFO - Epoch(val) [94][78/78] acc/top1: 0.7170 acc/top5: 0.8983 acc/mean1: 0.7169 2022/08/02 00:16:59 - mmengine - INFO - Epoch(train) [95][20/940] lr: 1.0000e-04 eta: 1:23:56 time: 1.1334 data_time: 0.6020 memory: 21548 grad_norm: 4.6025 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7989 loss: 0.7989 2022/08/02 00:17:15 - mmengine - INFO - Epoch(train) [95][40/940] lr: 1.0000e-04 eta: 1:23:38 time: 0.7795 data_time: 0.2792 memory: 21548 grad_norm: 4.4008 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6087 loss: 0.6087 2022/08/02 00:17:34 - mmengine - INFO - Epoch(train) [95][60/940] lr: 1.0000e-04 eta: 1:23:20 time: 0.9785 data_time: 0.1678 memory: 21548 grad_norm: 4.4845 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7841 loss: 0.7841 2022/08/02 00:17:50 - mmengine - INFO - Epoch(train) [95][80/940] lr: 1.0000e-04 eta: 1:23:02 time: 0.8011 data_time: 0.0319 memory: 21548 grad_norm: 4.5095 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6617 loss: 0.6617 2022/08/02 00:18:10 - mmengine - INFO - Epoch(train) [95][100/940] lr: 1.0000e-04 eta: 1:22:44 time: 0.9589 data_time: 0.0405 memory: 21548 grad_norm: 4.6662 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.7397 loss: 0.7397 2022/08/02 00:18:25 - mmengine - INFO - Epoch(train) [95][120/940] lr: 1.0000e-04 eta: 1:22:26 time: 0.7642 data_time: 0.0382 memory: 21548 grad_norm: 4.4859 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6849 loss: 0.6849 2022/08/02 00:18:44 - mmengine - INFO - Epoch(train) [95][140/940] lr: 1.0000e-04 eta: 1:22:08 time: 0.9515 data_time: 0.0313 memory: 21548 grad_norm: 4.5160 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6720 loss: 0.6720 2022/08/02 00:19:00 - mmengine - INFO - Epoch(train) [95][160/940] lr: 1.0000e-04 eta: 1:21:50 time: 0.8069 data_time: 0.0362 memory: 21548 grad_norm: 4.5989 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8239 loss: 0.8239 2022/08/02 00:19:18 - mmengine - INFO - Epoch(train) [95][180/940] lr: 1.0000e-04 eta: 1:21:32 time: 0.9028 data_time: 0.0349 memory: 21548 grad_norm: 4.5330 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6121 loss: 0.6121 2022/08/02 00:19:33 - mmengine - INFO - Epoch(train) [95][200/940] lr: 1.0000e-04 eta: 1:21:14 time: 0.7395 data_time: 0.0367 memory: 21548 grad_norm: 4.4798 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6836 loss: 0.6836 2022/08/02 00:19:52 - mmengine - INFO - Epoch(train) [95][220/940] lr: 1.0000e-04 eta: 1:20:56 time: 0.9551 data_time: 0.0656 memory: 21548 grad_norm: 4.5049 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7460 loss: 0.7460 2022/08/02 00:20:08 - mmengine - INFO - Epoch(train) [95][240/940] lr: 1.0000e-04 eta: 1:20:38 time: 0.7962 data_time: 0.0487 memory: 21548 grad_norm: 4.6257 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6967 loss: 0.6967 2022/08/02 00:20:26 - mmengine - INFO - Epoch(train) [95][260/940] lr: 1.0000e-04 eta: 1:20:20 time: 0.9325 data_time: 0.0490 memory: 21548 grad_norm: 4.6085 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7379 loss: 0.7379 2022/08/02 00:20:42 - mmengine - INFO - Epoch(train) [95][280/940] lr: 1.0000e-04 eta: 1:20:02 time: 0.7732 data_time: 0.0325 memory: 21548 grad_norm: 4.4320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7604 loss: 0.7604 2022/08/02 00:21:01 - mmengine - INFO - Epoch(train) [95][300/940] lr: 1.0000e-04 eta: 1:19:44 time: 0.9336 data_time: 0.0369 memory: 21548 grad_norm: 4.5588 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7262 loss: 0.7262 2022/08/02 00:21:17 - mmengine - INFO - Epoch(train) [95][320/940] lr: 1.0000e-04 eta: 1:19:26 time: 0.8122 data_time: 0.0348 memory: 21548 grad_norm: 4.5321 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7950 loss: 0.7950 2022/08/02 00:21:34 - mmengine - INFO - Epoch(train) [95][340/940] lr: 1.0000e-04 eta: 1:19:08 time: 0.8344 data_time: 0.0397 memory: 21548 grad_norm: 4.4775 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7439 loss: 0.7439 2022/08/02 00:21:50 - mmengine - INFO - Epoch(train) [95][360/940] lr: 1.0000e-04 eta: 1:18:50 time: 0.8233 data_time: 0.0317 memory: 21548 grad_norm: 4.5774 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7934 loss: 0.7934 2022/08/02 00:22:12 - mmengine - INFO - Epoch(train) [95][380/940] lr: 1.0000e-04 eta: 1:18:33 time: 1.0824 data_time: 0.0463 memory: 21548 grad_norm: 4.6416 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7452 loss: 0.7452 2022/08/02 00:22:27 - mmengine - INFO - Epoch(train) [95][400/940] lr: 1.0000e-04 eta: 1:18:15 time: 0.7410 data_time: 0.0385 memory: 21548 grad_norm: 4.5816 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7061 loss: 0.7061 2022/08/02 00:22:44 - mmengine - INFO - Epoch(train) [95][420/940] lr: 1.0000e-04 eta: 1:17:57 time: 0.8891 data_time: 0.0376 memory: 21548 grad_norm: 4.5703 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7437 loss: 0.7437 2022/08/02 00:23:00 - mmengine - INFO - Epoch(train) [95][440/940] lr: 1.0000e-04 eta: 1:17:39 time: 0.7729 data_time: 0.0510 memory: 21548 grad_norm: 4.5989 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8601 loss: 0.8601 2022/08/02 00:23:18 - mmengine - INFO - Epoch(train) [95][460/940] lr: 1.0000e-04 eta: 1:17:21 time: 0.9197 data_time: 0.0412 memory: 21548 grad_norm: 4.7103 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7279 loss: 0.7279 2022/08/02 00:23:33 - mmengine - INFO - Epoch(train) [95][480/940] lr: 1.0000e-04 eta: 1:17:03 time: 0.7568 data_time: 0.0362 memory: 21548 grad_norm: 4.4865 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7300 loss: 0.7300 2022/08/02 00:23:53 - mmengine - INFO - Epoch(train) [95][500/940] lr: 1.0000e-04 eta: 1:16:45 time: 0.9744 data_time: 0.0384 memory: 21548 grad_norm: 4.4914 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6769 loss: 0.6769 2022/08/02 00:24:08 - mmengine - INFO - Epoch(train) [95][520/940] lr: 1.0000e-04 eta: 1:16:27 time: 0.7699 data_time: 0.0710 memory: 21548 grad_norm: 4.4898 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7590 loss: 0.7590 2022/08/02 00:24:27 - mmengine - INFO - Epoch(train) [95][540/940] lr: 1.0000e-04 eta: 1:16:09 time: 0.9175 data_time: 0.0564 memory: 21548 grad_norm: 4.5941 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.7609 loss: 0.7609 2022/08/02 00:24:43 - mmengine - INFO - Epoch(train) [95][560/940] lr: 1.0000e-04 eta: 1:15:51 time: 0.7980 data_time: 0.0392 memory: 21548 grad_norm: 4.6064 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6048 loss: 0.6048 2022/08/02 00:25:00 - mmengine - INFO - Epoch(train) [95][580/940] lr: 1.0000e-04 eta: 1:15:33 time: 0.8912 data_time: 0.0664 memory: 21548 grad_norm: 4.4788 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6838 loss: 0.6838 2022/08/02 00:25:17 - mmengine - INFO - Epoch(train) [95][600/940] lr: 1.0000e-04 eta: 1:15:15 time: 0.8182 data_time: 0.0467 memory: 21548 grad_norm: 4.4596 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7338 loss: 0.7338 2022/08/02 00:25:34 - mmengine - INFO - Epoch(train) [95][620/940] lr: 1.0000e-04 eta: 1:14:57 time: 0.8462 data_time: 0.0515 memory: 21548 grad_norm: 4.6253 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7184 loss: 0.7184 2022/08/02 00:25:50 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/02 00:25:51 - mmengine - INFO - Epoch(train) [95][640/940] lr: 1.0000e-04 eta: 1:14:39 time: 0.8376 data_time: 0.1418 memory: 21548 grad_norm: 4.6667 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7250 loss: 0.7250 2022/08/02 00:26:09 - mmengine - INFO - Epoch(train) [95][660/940] lr: 1.0000e-04 eta: 1:14:21 time: 0.9020 data_time: 0.2063 memory: 21548 grad_norm: 4.4120 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7490 loss: 0.7490 2022/08/02 00:26:25 - mmengine - INFO - Epoch(train) [95][680/940] lr: 1.0000e-04 eta: 1:14:03 time: 0.7995 data_time: 0.1907 memory: 21548 grad_norm: 4.5655 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6272 loss: 0.6272 2022/08/02 00:26:44 - mmengine - INFO - Epoch(train) [95][700/940] lr: 1.0000e-04 eta: 1:13:45 time: 0.9653 data_time: 0.2869 memory: 21548 grad_norm: 4.5172 top1_acc: 0.6562 top5_acc: 1.0000 loss_cls: 0.8416 loss: 0.8416 2022/08/02 00:27:00 - mmengine - INFO - Epoch(train) [95][720/940] lr: 1.0000e-04 eta: 1:13:27 time: 0.7884 data_time: 0.0483 memory: 21548 grad_norm: 4.6736 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8051 loss: 0.8051 2022/08/02 00:27:18 - mmengine - INFO - Epoch(train) [95][740/940] lr: 1.0000e-04 eta: 1:13:09 time: 0.9378 data_time: 0.1779 memory: 21548 grad_norm: 4.4298 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7237 loss: 0.7237 2022/08/02 00:27:35 - mmengine - INFO - Epoch(train) [95][760/940] lr: 1.0000e-04 eta: 1:12:51 time: 0.8127 data_time: 0.1647 memory: 21548 grad_norm: 4.5862 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7103 loss: 0.7103 2022/08/02 00:27:53 - mmengine - INFO - Epoch(train) [95][780/940] lr: 1.0000e-04 eta: 1:12:33 time: 0.8957 data_time: 0.1263 memory: 21548 grad_norm: 4.4733 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7824 loss: 0.7824 2022/08/02 00:28:10 - mmengine - INFO - Epoch(train) [95][800/940] lr: 1.0000e-04 eta: 1:12:15 time: 0.8896 data_time: 0.0795 memory: 21548 grad_norm: 4.4366 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6948 loss: 0.6948 2022/08/02 00:28:26 - mmengine - INFO - Epoch(train) [95][820/940] lr: 1.0000e-04 eta: 1:11:57 time: 0.7820 data_time: 0.0384 memory: 21548 grad_norm: 4.5454 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8235 loss: 0.8235 2022/08/02 00:28:45 - mmengine - INFO - Epoch(train) [95][840/940] lr: 1.0000e-04 eta: 1:11:39 time: 0.9164 data_time: 0.0304 memory: 21548 grad_norm: 4.5907 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6830 loss: 0.6830 2022/08/02 00:29:01 - mmengine - INFO - Epoch(train) [95][860/940] lr: 1.0000e-04 eta: 1:11:21 time: 0.8192 data_time: 0.0481 memory: 21548 grad_norm: 4.5233 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6497 loss: 0.6497 2022/08/02 00:29:19 - mmengine - INFO - Epoch(train) [95][880/940] lr: 1.0000e-04 eta: 1:11:04 time: 0.9154 data_time: 0.0406 memory: 21548 grad_norm: 4.5981 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7012 loss: 0.7012 2022/08/02 00:29:35 - mmengine - INFO - Epoch(train) [95][900/940] lr: 1.0000e-04 eta: 1:10:46 time: 0.8108 data_time: 0.1432 memory: 21548 grad_norm: 4.3610 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.7242 loss: 0.7242 2022/08/02 00:29:54 - mmengine - INFO - Epoch(train) [95][920/940] lr: 1.0000e-04 eta: 1:10:28 time: 0.9259 data_time: 0.1266 memory: 21548 grad_norm: 4.6037 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8187 loss: 0.8187 2022/08/02 00:30:07 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/02 00:30:07 - mmengine - INFO - Epoch(train) [95][940/940] lr: 1.0000e-04 eta: 1:10:10 time: 0.6429 data_time: 0.0390 memory: 21548 grad_norm: 4.9024 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.7721 loss: 0.7721 2022/08/02 00:30:27 - mmengine - INFO - Epoch(val) [95][20/78] eta: 0:00:58 time: 1.0040 data_time: 0.8789 memory: 3271 2022/08/02 00:30:41 - mmengine - INFO - Epoch(val) [95][40/78] eta: 0:00:27 time: 0.7200 data_time: 0.5938 memory: 3271 2022/08/02 00:31:00 - mmengine - INFO - Epoch(val) [95][60/78] eta: 0:00:16 time: 0.9329 data_time: 0.8069 memory: 3271 2022/08/02 00:31:15 - mmengine - INFO - Epoch(val) [95][78/78] acc/top1: 0.7180 acc/top5: 0.8987 acc/mean1: 0.7179 2022/08/02 00:31:38 - mmengine - INFO - Epoch(train) [96][20/940] lr: 1.0000e-04 eta: 1:09:52 time: 1.1467 data_time: 0.6041 memory: 21548 grad_norm: 4.3546 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.6697 loss: 0.6697 2022/08/02 00:31:53 - mmengine - INFO - Epoch(train) [96][40/940] lr: 1.0000e-04 eta: 1:09:34 time: 0.7671 data_time: 0.0846 memory: 21548 grad_norm: 4.5630 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.7545 loss: 0.7545 2022/08/02 00:32:12 - mmengine - INFO - Epoch(train) [96][60/940] lr: 1.0000e-04 eta: 1:09:16 time: 0.9125 data_time: 0.0417 memory: 21548 grad_norm: 4.4886 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8158 loss: 0.8158 2022/08/02 00:32:26 - mmengine - INFO - Epoch(train) [96][80/940] lr: 1.0000e-04 eta: 1:08:58 time: 0.7132 data_time: 0.1061 memory: 21548 grad_norm: 4.6492 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7561 loss: 0.7561 2022/08/02 00:32:45 - mmengine - INFO - Epoch(train) [96][100/940] lr: 1.0000e-04 eta: 1:08:40 time: 0.9765 data_time: 0.2388 memory: 21548 grad_norm: 4.5478 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7981 loss: 0.7981 2022/08/02 00:33:02 - mmengine - INFO - Epoch(train) [96][120/940] lr: 1.0000e-04 eta: 1:08:22 time: 0.8137 data_time: 0.0640 memory: 21548 grad_norm: 4.4222 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6475 loss: 0.6475 2022/08/02 00:33:21 - mmengine - INFO - Epoch(train) [96][140/940] lr: 1.0000e-04 eta: 1:08:04 time: 0.9680 data_time: 0.1207 memory: 21548 grad_norm: 4.4875 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7274 loss: 0.7274 2022/08/02 00:33:36 - mmengine - INFO - Epoch(train) [96][160/940] lr: 1.0000e-04 eta: 1:07:46 time: 0.7369 data_time: 0.1191 memory: 21548 grad_norm: 4.4995 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6809 loss: 0.6809 2022/08/02 00:33:55 - mmengine - INFO - Epoch(train) [96][180/940] lr: 1.0000e-04 eta: 1:07:28 time: 0.9821 data_time: 0.1847 memory: 21548 grad_norm: 4.5311 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7035 loss: 0.7035 2022/08/02 00:34:12 - mmengine - INFO - Epoch(train) [96][200/940] lr: 1.0000e-04 eta: 1:07:10 time: 0.8095 data_time: 0.0788 memory: 21548 grad_norm: 4.4705 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6775 loss: 0.6775 2022/08/02 00:34:29 - mmengine - INFO - Epoch(train) [96][220/940] lr: 1.0000e-04 eta: 1:06:52 time: 0.8886 data_time: 0.1267 memory: 21548 grad_norm: 4.5850 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6119 loss: 0.6119 2022/08/02 00:34:45 - mmengine - INFO - Epoch(train) [96][240/940] lr: 1.0000e-04 eta: 1:06:34 time: 0.7656 data_time: 0.1770 memory: 21548 grad_norm: 4.6438 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7598 loss: 0.7598 2022/08/02 00:35:04 - mmengine - INFO - Epoch(train) [96][260/940] lr: 1.0000e-04 eta: 1:06:16 time: 0.9588 data_time: 0.1173 memory: 21548 grad_norm: 4.5699 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.7353 loss: 0.7353 2022/08/02 00:35:19 - mmengine - INFO - Epoch(train) [96][280/940] lr: 1.0000e-04 eta: 1:05:58 time: 0.7703 data_time: 0.1111 memory: 21548 grad_norm: 4.5046 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8079 loss: 0.8079 2022/08/02 00:35:38 - mmengine - INFO - Epoch(train) [96][300/940] lr: 1.0000e-04 eta: 1:05:41 time: 0.9401 data_time: 0.1479 memory: 21548 grad_norm: 4.5464 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6876 loss: 0.6876 2022/08/02 00:35:55 - mmengine - INFO - Epoch(train) [96][320/940] lr: 1.0000e-04 eta: 1:05:23 time: 0.8556 data_time: 0.1352 memory: 21548 grad_norm: 4.6079 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7699 loss: 0.7699 2022/08/02 00:36:13 - mmengine - INFO - Epoch(train) [96][340/940] lr: 1.0000e-04 eta: 1:05:05 time: 0.8775 data_time: 0.0353 memory: 21548 grad_norm: 4.5857 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7543 loss: 0.7543 2022/08/02 00:36:29 - mmengine - INFO - Epoch(train) [96][360/940] lr: 1.0000e-04 eta: 1:04:47 time: 0.7902 data_time: 0.0727 memory: 21548 grad_norm: 4.6838 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8605 loss: 0.8605 2022/08/02 00:36:48 - mmengine - INFO - Epoch(train) [96][380/940] lr: 1.0000e-04 eta: 1:04:29 time: 0.9449 data_time: 0.0365 memory: 21548 grad_norm: 4.5824 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6450 loss: 0.6450 2022/08/02 00:37:04 - mmengine - INFO - Epoch(train) [96][400/940] lr: 1.0000e-04 eta: 1:04:11 time: 0.8402 data_time: 0.0362 memory: 21548 grad_norm: 4.5640 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7215 loss: 0.7215 2022/08/02 00:37:21 - mmengine - INFO - Epoch(train) [96][420/940] lr: 1.0000e-04 eta: 1:03:53 time: 0.8500 data_time: 0.0373 memory: 21548 grad_norm: 4.5180 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6823 loss: 0.6823 2022/08/02 00:37:38 - mmengine - INFO - Epoch(train) [96][440/940] lr: 1.0000e-04 eta: 1:03:35 time: 0.8388 data_time: 0.0376 memory: 21548 grad_norm: 4.5493 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6868 loss: 0.6868 2022/08/02 00:37:57 - mmengine - INFO - Epoch(train) [96][460/940] lr: 1.0000e-04 eta: 1:03:17 time: 0.9557 data_time: 0.0406 memory: 21548 grad_norm: 4.4655 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7816 loss: 0.7816 2022/08/02 00:38:12 - mmengine - INFO - Epoch(train) [96][480/940] lr: 1.0000e-04 eta: 1:02:59 time: 0.7341 data_time: 0.0386 memory: 21548 grad_norm: 4.4370 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7331 loss: 0.7331 2022/08/02 00:38:31 - mmengine - INFO - Epoch(train) [96][500/940] lr: 1.0000e-04 eta: 1:02:41 time: 0.9504 data_time: 0.0385 memory: 21548 grad_norm: 4.5856 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7336 loss: 0.7336 2022/08/02 00:38:45 - mmengine - INFO - Epoch(train) [96][520/940] lr: 1.0000e-04 eta: 1:02:23 time: 0.7011 data_time: 0.0780 memory: 21548 grad_norm: 4.4729 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7277 loss: 0.7277 2022/08/02 00:39:04 - mmengine - INFO - Epoch(train) [96][540/940] lr: 1.0000e-04 eta: 1:02:05 time: 0.9143 data_time: 0.0650 memory: 21548 grad_norm: 4.5840 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6914 loss: 0.6914 2022/08/02 00:39:20 - mmengine - INFO - Epoch(train) [96][560/940] lr: 1.0000e-04 eta: 1:01:47 time: 0.8041 data_time: 0.0444 memory: 21548 grad_norm: 4.5681 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.8003 loss: 0.8003 2022/08/02 00:39:38 - mmengine - INFO - Epoch(train) [96][580/940] lr: 1.0000e-04 eta: 1:01:29 time: 0.9022 data_time: 0.0430 memory: 21548 grad_norm: 4.5258 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7290 loss: 0.7290 2022/08/02 00:39:54 - mmengine - INFO - Epoch(train) [96][600/940] lr: 1.0000e-04 eta: 1:01:11 time: 0.8227 data_time: 0.0371 memory: 21548 grad_norm: 4.4973 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6901 loss: 0.6901 2022/08/02 00:40:12 - mmengine - INFO - Epoch(train) [96][620/940] lr: 1.0000e-04 eta: 1:00:53 time: 0.8824 data_time: 0.0654 memory: 21548 grad_norm: 4.6299 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7088 loss: 0.7088 2022/08/02 00:40:31 - mmengine - INFO - Epoch(train) [96][640/940] lr: 1.0000e-04 eta: 1:00:35 time: 0.9565 data_time: 0.1558 memory: 21548 grad_norm: 4.5107 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6771 loss: 0.6771 2022/08/02 00:40:47 - mmengine - INFO - Epoch(train) [96][660/940] lr: 1.0000e-04 eta: 1:00:17 time: 0.8053 data_time: 0.2026 memory: 21548 grad_norm: 4.7419 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.8031 loss: 0.8031 2022/08/02 00:41:05 - mmengine - INFO - Epoch(train) [96][680/940] lr: 1.0000e-04 eta: 1:00:00 time: 0.9003 data_time: 0.0408 memory: 21548 grad_norm: 4.4326 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7102 loss: 0.7102 2022/08/02 00:41:22 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/02 00:41:22 - mmengine - INFO - Epoch(train) [96][700/940] lr: 1.0000e-04 eta: 0:59:42 time: 0.8630 data_time: 0.0525 memory: 21548 grad_norm: 4.5418 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6762 loss: 0.6762 2022/08/02 00:41:39 - mmengine - INFO - Epoch(train) [96][720/940] lr: 1.0000e-04 eta: 0:59:24 time: 0.8410 data_time: 0.0594 memory: 21548 grad_norm: 4.5766 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8257 loss: 0.8257 2022/08/02 00:41:59 - mmengine - INFO - Epoch(train) [96][740/940] lr: 1.0000e-04 eta: 0:59:06 time: 0.9803 data_time: 0.0416 memory: 21548 grad_norm: 4.5931 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6593 loss: 0.6593 2022/08/02 00:42:15 - mmengine - INFO - Epoch(train) [96][760/940] lr: 1.0000e-04 eta: 0:58:48 time: 0.8275 data_time: 0.0344 memory: 21548 grad_norm: 4.4551 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.7126 loss: 0.7126 2022/08/02 00:42:32 - mmengine - INFO - Epoch(train) [96][780/940] lr: 1.0000e-04 eta: 0:58:30 time: 0.8375 data_time: 0.0371 memory: 21548 grad_norm: 4.4660 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8070 loss: 0.8070 2022/08/02 00:42:47 - mmengine - INFO - Epoch(train) [96][800/940] lr: 1.0000e-04 eta: 0:58:12 time: 0.7755 data_time: 0.0421 memory: 21548 grad_norm: 4.6213 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7840 loss: 0.7840 2022/08/02 00:43:07 - mmengine - INFO - Epoch(train) [96][820/940] lr: 1.0000e-04 eta: 0:57:54 time: 0.9585 data_time: 0.0408 memory: 21548 grad_norm: 4.4843 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7073 loss: 0.7073 2022/08/02 00:43:23 - mmengine - INFO - Epoch(train) [96][840/940] lr: 1.0000e-04 eta: 0:57:36 time: 0.8395 data_time: 0.0410 memory: 21548 grad_norm: 4.6296 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8101 loss: 0.8101 2022/08/02 00:43:42 - mmengine - INFO - Epoch(train) [96][860/940] lr: 1.0000e-04 eta: 0:57:18 time: 0.9176 data_time: 0.0399 memory: 21548 grad_norm: 4.4365 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.6430 loss: 0.6430 2022/08/02 00:43:56 - mmengine - INFO - Epoch(train) [96][880/940] lr: 1.0000e-04 eta: 0:57:00 time: 0.7219 data_time: 0.0417 memory: 21548 grad_norm: 4.4358 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6383 loss: 0.6383 2022/08/02 00:44:16 - mmengine - INFO - Epoch(train) [96][900/940] lr: 1.0000e-04 eta: 0:56:42 time: 0.9881 data_time: 0.0390 memory: 21548 grad_norm: 4.5008 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7311 loss: 0.7311 2022/08/02 00:44:31 - mmengine - INFO - Epoch(train) [96][920/940] lr: 1.0000e-04 eta: 0:56:24 time: 0.7606 data_time: 0.0469 memory: 21548 grad_norm: 4.4616 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6748 loss: 0.6748 2022/08/02 00:44:48 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/02 00:44:48 - mmengine - INFO - Epoch(train) [96][940/940] lr: 1.0000e-04 eta: 0:56:06 time: 0.8559 data_time: 0.0296 memory: 21548 grad_norm: 4.9907 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.7991 loss: 0.7991 2022/08/02 00:44:49 - mmengine - INFO - Saving checkpoint at 96 epochs 2022/08/02 00:45:10 - mmengine - INFO - Epoch(val) [96][20/78] eta: 0:00:58 time: 1.0134 data_time: 0.8909 memory: 3271 2022/08/02 00:45:24 - mmengine - INFO - Epoch(val) [96][40/78] eta: 0:00:25 time: 0.6827 data_time: 0.5624 memory: 3271 2022/08/02 00:45:44 - mmengine - INFO - Epoch(val) [96][60/78] eta: 0:00:17 time: 0.9987 data_time: 0.8560 memory: 3271 2022/08/02 00:45:59 - mmengine - INFO - Epoch(val) [96][78/78] acc/top1: 0.7185 acc/top5: 0.8988 acc/mean1: 0.7184 2022/08/02 00:46:21 - mmengine - INFO - Epoch(train) [97][20/940] lr: 1.0000e-04 eta: 0:55:49 time: 1.1138 data_time: 0.4624 memory: 21548 grad_norm: 4.4872 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6320 loss: 0.6320 2022/08/02 00:46:39 - mmengine - INFO - Epoch(train) [97][40/940] lr: 1.0000e-04 eta: 0:55:31 time: 0.8904 data_time: 0.0908 memory: 21548 grad_norm: 4.5376 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6889 loss: 0.6889 2022/08/02 00:47:13 - mmengine - INFO - Epoch(train) [97][60/940] lr: 1.0000e-04 eta: 0:55:13 time: 1.6837 data_time: 0.0341 memory: 21548 grad_norm: 4.5508 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7842 loss: 0.7842 2022/08/02 00:47:29 - mmengine - INFO - Epoch(train) [97][80/940] lr: 1.0000e-04 eta: 0:54:55 time: 0.7933 data_time: 0.0373 memory: 21548 grad_norm: 4.5463 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7139 loss: 0.7139 2022/08/02 00:47:47 - mmengine - INFO - Epoch(train) [97][100/940] lr: 1.0000e-04 eta: 0:54:38 time: 0.9086 data_time: 0.0314 memory: 21548 grad_norm: 4.5813 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7181 loss: 0.7181 2022/08/02 00:48:04 - mmengine - INFO - Epoch(train) [97][120/940] lr: 1.0000e-04 eta: 0:54:20 time: 0.8312 data_time: 0.0426 memory: 21548 grad_norm: 4.6653 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7501 loss: 0.7501 2022/08/02 00:48:22 - mmengine - INFO - Epoch(train) [97][140/940] lr: 1.0000e-04 eta: 0:54:02 time: 0.8930 data_time: 0.0398 memory: 21548 grad_norm: 4.4827 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8050 loss: 0.8050 2022/08/02 00:48:37 - mmengine - INFO - Epoch(train) [97][160/940] lr: 1.0000e-04 eta: 0:53:44 time: 0.7625 data_time: 0.0353 memory: 21548 grad_norm: 4.5477 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7464 loss: 0.7464 2022/08/02 00:48:56 - mmengine - INFO - Epoch(train) [97][180/940] lr: 1.0000e-04 eta: 0:53:26 time: 0.9431 data_time: 0.0386 memory: 21548 grad_norm: 4.6212 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7618 loss: 0.7618 2022/08/02 00:49:11 - mmengine - INFO - Epoch(train) [97][200/940] lr: 1.0000e-04 eta: 0:53:08 time: 0.7615 data_time: 0.0301 memory: 21548 grad_norm: 4.5117 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7289 loss: 0.7289 2022/08/02 00:49:32 - mmengine - INFO - Epoch(train) [97][220/940] lr: 1.0000e-04 eta: 0:52:50 time: 1.0288 data_time: 0.0729 memory: 21548 grad_norm: 4.6039 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8037 loss: 0.8037 2022/08/02 00:49:47 - mmengine - INFO - Epoch(train) [97][240/940] lr: 1.0000e-04 eta: 0:52:32 time: 0.7669 data_time: 0.0310 memory: 21548 grad_norm: 4.5055 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6356 loss: 0.6356 2022/08/02 00:50:05 - mmengine - INFO - Epoch(train) [97][260/940] lr: 1.0000e-04 eta: 0:52:14 time: 0.9031 data_time: 0.0445 memory: 21548 grad_norm: 4.5284 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7120 loss: 0.7120 2022/08/02 00:50:21 - mmengine - INFO - Epoch(train) [97][280/940] lr: 1.0000e-04 eta: 0:51:56 time: 0.8035 data_time: 0.0328 memory: 21548 grad_norm: 4.6557 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8073 loss: 0.8073 2022/08/02 00:50:39 - mmengine - INFO - Epoch(train) [97][300/940] lr: 1.0000e-04 eta: 0:51:38 time: 0.8889 data_time: 0.0457 memory: 21548 grad_norm: 4.5530 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6409 loss: 0.6409 2022/08/02 00:50:54 - mmengine - INFO - Epoch(train) [97][320/940] lr: 1.0000e-04 eta: 0:51:20 time: 0.7697 data_time: 0.0315 memory: 21548 grad_norm: 4.4381 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6542 loss: 0.6542 2022/08/02 00:51:14 - mmengine - INFO - Epoch(train) [97][340/940] lr: 1.0000e-04 eta: 0:51:02 time: 0.9645 data_time: 0.0418 memory: 21548 grad_norm: 4.3960 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7077 loss: 0.7077 2022/08/02 00:51:29 - mmengine - INFO - Epoch(train) [97][360/940] lr: 1.0000e-04 eta: 0:50:44 time: 0.7964 data_time: 0.0408 memory: 21548 grad_norm: 4.5736 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.7743 loss: 0.7743 2022/08/02 00:51:48 - mmengine - INFO - Epoch(train) [97][380/940] lr: 1.0000e-04 eta: 0:50:26 time: 0.9182 data_time: 0.0391 memory: 21548 grad_norm: 4.5416 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6863 loss: 0.6863 2022/08/02 00:52:03 - mmengine - INFO - Epoch(train) [97][400/940] lr: 1.0000e-04 eta: 0:50:08 time: 0.7810 data_time: 0.0391 memory: 21548 grad_norm: 4.5777 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7288 loss: 0.7288 2022/08/02 00:52:22 - mmengine - INFO - Epoch(train) [97][420/940] lr: 1.0000e-04 eta: 0:49:50 time: 0.9351 data_time: 0.0398 memory: 21548 grad_norm: 4.5107 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6219 loss: 0.6219 2022/08/02 00:52:37 - mmengine - INFO - Epoch(train) [97][440/940] lr: 1.0000e-04 eta: 0:49:32 time: 0.7603 data_time: 0.0408 memory: 21548 grad_norm: 4.5052 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8179 loss: 0.8179 2022/08/02 00:52:57 - mmengine - INFO - Epoch(train) [97][460/940] lr: 1.0000e-04 eta: 0:49:15 time: 0.9636 data_time: 0.0345 memory: 21548 grad_norm: 4.5427 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7057 loss: 0.7057 2022/08/02 00:53:13 - mmengine - INFO - Epoch(train) [97][480/940] lr: 1.0000e-04 eta: 0:48:57 time: 0.8071 data_time: 0.0388 memory: 21548 grad_norm: 4.5078 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7500 loss: 0.7500 2022/08/02 00:53:32 - mmengine - INFO - Epoch(train) [97][500/940] lr: 1.0000e-04 eta: 0:48:39 time: 0.9632 data_time: 0.0332 memory: 21548 grad_norm: 4.5272 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7497 loss: 0.7497 2022/08/02 00:53:47 - mmengine - INFO - Epoch(train) [97][520/940] lr: 1.0000e-04 eta: 0:48:21 time: 0.7673 data_time: 0.0505 memory: 21548 grad_norm: 4.5141 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7002 loss: 0.7002 2022/08/02 00:54:07 - mmengine - INFO - Epoch(train) [97][540/940] lr: 1.0000e-04 eta: 0:48:03 time: 0.9542 data_time: 0.0331 memory: 21548 grad_norm: 4.4293 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6910 loss: 0.6910 2022/08/02 00:54:23 - mmengine - INFO - Epoch(train) [97][560/940] lr: 1.0000e-04 eta: 0:47:45 time: 0.8010 data_time: 0.0411 memory: 21548 grad_norm: 4.5144 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7428 loss: 0.7428 2022/08/02 00:54:40 - mmengine - INFO - Epoch(train) [97][580/940] lr: 1.0000e-04 eta: 0:47:27 time: 0.8794 data_time: 0.0401 memory: 21548 grad_norm: 4.5179 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7257 loss: 0.7257 2022/08/02 00:54:55 - mmengine - INFO - Epoch(train) [97][600/940] lr: 1.0000e-04 eta: 0:47:09 time: 0.7323 data_time: 0.0412 memory: 21548 grad_norm: 4.4269 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6755 loss: 0.6755 2022/08/02 00:55:15 - mmengine - INFO - Epoch(train) [97][620/940] lr: 1.0000e-04 eta: 0:46:51 time: 1.0047 data_time: 0.0331 memory: 21548 grad_norm: 4.6016 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7350 loss: 0.7350 2022/08/02 00:55:32 - mmengine - INFO - Epoch(train) [97][640/940] lr: 1.0000e-04 eta: 0:46:33 time: 0.8475 data_time: 0.0411 memory: 21548 grad_norm: 4.4771 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7805 loss: 0.7805 2022/08/02 00:55:47 - mmengine - INFO - Epoch(train) [97][660/940] lr: 1.0000e-04 eta: 0:46:15 time: 0.7804 data_time: 0.0339 memory: 21548 grad_norm: 4.5261 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7975 loss: 0.7975 2022/08/02 00:56:04 - mmengine - INFO - Epoch(train) [97][680/940] lr: 1.0000e-04 eta: 0:45:57 time: 0.8049 data_time: 0.0418 memory: 21548 grad_norm: 4.5968 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7467 loss: 0.7467 2022/08/02 00:56:22 - mmengine - INFO - Epoch(train) [97][700/940] lr: 1.0000e-04 eta: 0:45:39 time: 0.9253 data_time: 0.0404 memory: 21548 grad_norm: 4.4030 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.7125 loss: 0.7125 2022/08/02 00:56:38 - mmengine - INFO - Epoch(train) [97][720/940] lr: 1.0000e-04 eta: 0:45:21 time: 0.7755 data_time: 0.0416 memory: 21548 grad_norm: 4.6011 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7145 loss: 0.7145 2022/08/02 00:56:57 - mmengine - INFO - Epoch(train) [97][740/940] lr: 1.0000e-04 eta: 0:45:04 time: 0.9709 data_time: 0.0298 memory: 21548 grad_norm: 4.4186 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6948 loss: 0.6948 2022/08/02 00:57:12 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/02 00:57:12 - mmengine - INFO - Epoch(train) [97][760/940] lr: 1.0000e-04 eta: 0:44:46 time: 0.7682 data_time: 0.0500 memory: 21548 grad_norm: 4.4353 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8523 loss: 0.8523 2022/08/02 00:57:31 - mmengine - INFO - Epoch(train) [97][780/940] lr: 1.0000e-04 eta: 0:44:28 time: 0.9513 data_time: 0.0337 memory: 21548 grad_norm: 4.6017 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7301 loss: 0.7301 2022/08/02 00:57:46 - mmengine - INFO - Epoch(train) [97][800/940] lr: 1.0000e-04 eta: 0:44:10 time: 0.7252 data_time: 0.0432 memory: 21548 grad_norm: 4.5426 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6503 loss: 0.6503 2022/08/02 00:58:05 - mmengine - INFO - Epoch(train) [97][820/940] lr: 1.0000e-04 eta: 0:43:52 time: 0.9602 data_time: 0.0349 memory: 21548 grad_norm: 4.6130 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7260 loss: 0.7260 2022/08/02 00:58:20 - mmengine - INFO - Epoch(train) [97][840/940] lr: 1.0000e-04 eta: 0:43:34 time: 0.7575 data_time: 0.0485 memory: 21548 grad_norm: 4.4303 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7332 loss: 0.7332 2022/08/02 00:58:40 - mmengine - INFO - Epoch(train) [97][860/940] lr: 1.0000e-04 eta: 0:43:16 time: 0.9718 data_time: 0.0733 memory: 21548 grad_norm: 4.5052 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7017 loss: 0.7017 2022/08/02 00:58:56 - mmengine - INFO - Epoch(train) [97][880/940] lr: 1.0000e-04 eta: 0:42:58 time: 0.8019 data_time: 0.1161 memory: 21548 grad_norm: 4.4913 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6442 loss: 0.6442 2022/08/02 00:59:14 - mmengine - INFO - Epoch(train) [97][900/940] lr: 1.0000e-04 eta: 0:42:40 time: 0.9298 data_time: 0.0432 memory: 21548 grad_norm: 4.4262 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7077 loss: 0.7077 2022/08/02 00:59:30 - mmengine - INFO - Epoch(train) [97][920/940] lr: 1.0000e-04 eta: 0:42:22 time: 0.7716 data_time: 0.0368 memory: 21548 grad_norm: 4.4914 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8619 loss: 0.8619 2022/08/02 00:59:46 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/02 00:59:46 - mmengine - INFO - Epoch(train) [97][940/940] lr: 1.0000e-04 eta: 0:42:04 time: 0.8142 data_time: 0.0355 memory: 21548 grad_norm: 4.7921 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.6810 loss: 0.6810 2022/08/02 01:00:07 - mmengine - INFO - Epoch(val) [97][20/78] eta: 0:00:59 time: 1.0249 data_time: 0.8977 memory: 3271 2022/08/02 01:00:21 - mmengine - INFO - Epoch(val) [97][40/78] eta: 0:00:26 time: 0.7041 data_time: 0.5622 memory: 3271 2022/08/02 01:00:39 - mmengine - INFO - Epoch(val) [97][60/78] eta: 0:00:16 time: 0.9294 data_time: 0.7985 memory: 3271 2022/08/02 01:00:55 - mmengine - INFO - Epoch(val) [97][78/78] acc/top1: 0.7174 acc/top5: 0.8994 acc/mean1: 0.7173 2022/08/02 01:01:17 - mmengine - INFO - Epoch(train) [98][20/940] lr: 1.0000e-04 eta: 0:41:46 time: 1.0926 data_time: 0.5877 memory: 21548 grad_norm: 4.5402 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7259 loss: 0.7259 2022/08/02 01:01:33 - mmengine - INFO - Epoch(train) [98][40/940] lr: 1.0000e-04 eta: 0:41:28 time: 0.7788 data_time: 0.3147 memory: 21548 grad_norm: 4.5469 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8008 loss: 0.8008 2022/08/02 01:01:52 - mmengine - INFO - Epoch(train) [98][60/940] lr: 1.0000e-04 eta: 0:41:11 time: 0.9590 data_time: 0.5464 memory: 21548 grad_norm: 4.4746 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6343 loss: 0.6343 2022/08/02 01:02:08 - mmengine - INFO - Epoch(train) [98][80/940] lr: 1.0000e-04 eta: 0:40:53 time: 0.7832 data_time: 0.3147 memory: 21548 grad_norm: 4.6511 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7282 loss: 0.7282 2022/08/02 01:02:27 - mmengine - INFO - Epoch(train) [98][100/940] lr: 1.0000e-04 eta: 0:40:35 time: 0.9534 data_time: 0.4604 memory: 21548 grad_norm: 4.3895 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6975 loss: 0.6975 2022/08/02 01:02:43 - mmengine - INFO - Epoch(train) [98][120/940] lr: 1.0000e-04 eta: 0:40:17 time: 0.8228 data_time: 0.2294 memory: 21548 grad_norm: 4.5829 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6566 loss: 0.6566 2022/08/02 01:03:01 - mmengine - INFO - Epoch(train) [98][140/940] lr: 1.0000e-04 eta: 0:39:59 time: 0.8886 data_time: 0.3798 memory: 21548 grad_norm: 4.4361 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6932 loss: 0.6932 2022/08/02 01:03:17 - mmengine - INFO - Epoch(train) [98][160/940] lr: 1.0000e-04 eta: 0:39:41 time: 0.8042 data_time: 0.2247 memory: 21548 grad_norm: 4.5363 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7437 loss: 0.7437 2022/08/02 01:03:35 - mmengine - INFO - Epoch(train) [98][180/940] lr: 1.0000e-04 eta: 0:39:23 time: 0.8926 data_time: 0.1091 memory: 21548 grad_norm: 4.4920 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7759 loss: 0.7759 2022/08/02 01:03:53 - mmengine - INFO - Epoch(train) [98][200/940] lr: 1.0000e-04 eta: 0:39:05 time: 0.8697 data_time: 0.0521 memory: 21548 grad_norm: 4.4572 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.8437 loss: 0.8437 2022/08/02 01:04:11 - mmengine - INFO - Epoch(train) [98][220/940] lr: 1.0000e-04 eta: 0:38:47 time: 0.9471 data_time: 0.0570 memory: 21548 grad_norm: 4.4380 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7568 loss: 0.7568 2022/08/02 01:04:26 - mmengine - INFO - Epoch(train) [98][240/940] lr: 1.0000e-04 eta: 0:38:29 time: 0.7158 data_time: 0.0373 memory: 21548 grad_norm: 4.5089 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7641 loss: 0.7641 2022/08/02 01:04:45 - mmengine - INFO - Epoch(train) [98][260/940] lr: 1.0000e-04 eta: 0:38:11 time: 0.9737 data_time: 0.1030 memory: 21548 grad_norm: 4.6725 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6882 loss: 0.6882 2022/08/02 01:05:01 - mmengine - INFO - Epoch(train) [98][280/940] lr: 1.0000e-04 eta: 0:37:53 time: 0.7987 data_time: 0.0321 memory: 21548 grad_norm: 4.4667 top1_acc: 0.9062 top5_acc: 0.9062 loss_cls: 0.7562 loss: 0.7562 2022/08/02 01:05:23 - mmengine - INFO - Epoch(train) [98][300/940] lr: 1.0000e-04 eta: 0:37:36 time: 1.0957 data_time: 0.0842 memory: 21548 grad_norm: 4.4590 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7198 loss: 0.7198 2022/08/02 01:05:42 - mmengine - INFO - Epoch(train) [98][320/940] lr: 1.0000e-04 eta: 0:37:18 time: 0.9545 data_time: 0.0350 memory: 21548 grad_norm: 4.4761 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.6913 loss: 0.6913 2022/08/02 01:05:59 - mmengine - INFO - Epoch(train) [98][340/940] lr: 1.0000e-04 eta: 0:37:00 time: 0.8203 data_time: 0.0324 memory: 21548 grad_norm: 4.7066 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7834 loss: 0.7834 2022/08/02 01:06:17 - mmengine - INFO - Epoch(train) [98][360/940] lr: 1.0000e-04 eta: 0:36:42 time: 0.9042 data_time: 0.0351 memory: 21548 grad_norm: 4.5361 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7124 loss: 0.7124 2022/08/02 01:06:34 - mmengine - INFO - Epoch(train) [98][380/940] lr: 1.0000e-04 eta: 0:36:24 time: 0.8436 data_time: 0.0408 memory: 21548 grad_norm: 4.6145 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7540 loss: 0.7540 2022/08/02 01:06:51 - mmengine - INFO - Epoch(train) [98][400/940] lr: 1.0000e-04 eta: 0:36:06 time: 0.8640 data_time: 0.0356 memory: 21548 grad_norm: 4.5474 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6751 loss: 0.6751 2022/08/02 01:07:07 - mmengine - INFO - Epoch(train) [98][420/940] lr: 1.0000e-04 eta: 0:35:48 time: 0.8214 data_time: 0.0394 memory: 21548 grad_norm: 4.5740 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6877 loss: 0.6877 2022/08/02 01:07:25 - mmengine - INFO - Epoch(train) [98][440/940] lr: 1.0000e-04 eta: 0:35:30 time: 0.8857 data_time: 0.0389 memory: 21548 grad_norm: 4.5548 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.7570 loss: 0.7570 2022/08/02 01:07:41 - mmengine - INFO - Epoch(train) [98][460/940] lr: 1.0000e-04 eta: 0:35:12 time: 0.8160 data_time: 0.0483 memory: 21548 grad_norm: 4.6211 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6827 loss: 0.6827 2022/08/02 01:07:59 - mmengine - INFO - Epoch(train) [98][480/940] lr: 1.0000e-04 eta: 0:34:54 time: 0.8979 data_time: 0.0420 memory: 21548 grad_norm: 4.5475 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8504 loss: 0.8504 2022/08/02 01:08:16 - mmengine - INFO - Epoch(train) [98][500/940] lr: 1.0000e-04 eta: 0:34:36 time: 0.8290 data_time: 0.0379 memory: 21548 grad_norm: 4.5409 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6668 loss: 0.6668 2022/08/02 01:08:33 - mmengine - INFO - Epoch(train) [98][520/940] lr: 1.0000e-04 eta: 0:34:18 time: 0.8605 data_time: 0.0404 memory: 21548 grad_norm: 4.5379 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.7362 loss: 0.7362 2022/08/02 01:08:50 - mmengine - INFO - Epoch(train) [98][540/940] lr: 1.0000e-04 eta: 0:34:00 time: 0.8283 data_time: 0.0334 memory: 21548 grad_norm: 4.6774 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7905 loss: 0.7905 2022/08/02 01:09:07 - mmengine - INFO - Epoch(train) [98][560/940] lr: 1.0000e-04 eta: 0:33:43 time: 0.8822 data_time: 0.0401 memory: 21548 grad_norm: 4.5958 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7372 loss: 0.7372 2022/08/02 01:09:24 - mmengine - INFO - Epoch(train) [98][580/940] lr: 1.0000e-04 eta: 0:33:25 time: 0.8422 data_time: 0.0360 memory: 21548 grad_norm: 4.5025 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.7083 loss: 0.7083 2022/08/02 01:09:41 - mmengine - INFO - Epoch(train) [98][600/940] lr: 1.0000e-04 eta: 0:33:07 time: 0.8398 data_time: 0.0395 memory: 21548 grad_norm: 4.5800 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.7943 loss: 0.7943 2022/08/02 01:09:59 - mmengine - INFO - Epoch(train) [98][620/940] lr: 1.0000e-04 eta: 0:32:49 time: 0.8993 data_time: 0.0336 memory: 21548 grad_norm: 4.4884 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7569 loss: 0.7569 2022/08/02 01:10:16 - mmengine - INFO - Epoch(train) [98][640/940] lr: 1.0000e-04 eta: 0:32:31 time: 0.8393 data_time: 0.0401 memory: 21548 grad_norm: 4.4547 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6735 loss: 0.6735 2022/08/02 01:10:32 - mmengine - INFO - Epoch(train) [98][660/940] lr: 1.0000e-04 eta: 0:32:13 time: 0.8174 data_time: 0.0882 memory: 21548 grad_norm: 4.5840 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7043 loss: 0.7043 2022/08/02 01:10:51 - mmengine - INFO - Epoch(train) [98][680/940] lr: 1.0000e-04 eta: 0:31:55 time: 0.9360 data_time: 0.0487 memory: 21548 grad_norm: 4.4788 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7628 loss: 0.7628 2022/08/02 01:11:07 - mmengine - INFO - Epoch(train) [98][700/940] lr: 1.0000e-04 eta: 0:31:37 time: 0.8238 data_time: 0.0332 memory: 21548 grad_norm: 4.6180 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7617 loss: 0.7617 2022/08/02 01:11:24 - mmengine - INFO - Epoch(train) [98][720/940] lr: 1.0000e-04 eta: 0:31:19 time: 0.8418 data_time: 0.0598 memory: 21548 grad_norm: 4.6875 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7712 loss: 0.7712 2022/08/02 01:11:41 - mmengine - INFO - Epoch(train) [98][740/940] lr: 1.0000e-04 eta: 0:31:01 time: 0.8174 data_time: 0.0342 memory: 21548 grad_norm: 4.5697 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7239 loss: 0.7239 2022/08/02 01:11:58 - mmengine - INFO - Epoch(train) [98][760/940] lr: 1.0000e-04 eta: 0:30:43 time: 0.8900 data_time: 0.0974 memory: 21548 grad_norm: 4.4591 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7342 loss: 0.7342 2022/08/02 01:12:15 - mmengine - INFO - Epoch(train) [98][780/940] lr: 1.0000e-04 eta: 0:30:25 time: 0.8238 data_time: 0.0327 memory: 21548 grad_norm: 4.5270 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7774 loss: 0.7774 2022/08/02 01:12:32 - mmengine - INFO - Epoch(train) [98][800/940] lr: 1.0000e-04 eta: 0:30:07 time: 0.8670 data_time: 0.1184 memory: 21548 grad_norm: 4.5611 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7455 loss: 0.7455 2022/08/02 01:12:50 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/02 01:12:50 - mmengine - INFO - Epoch(train) [98][820/940] lr: 1.0000e-04 eta: 0:29:50 time: 0.8896 data_time: 0.0303 memory: 21548 grad_norm: 4.6147 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7051 loss: 0.7051 2022/08/02 01:13:06 - mmengine - INFO - Epoch(train) [98][840/940] lr: 1.0000e-04 eta: 0:29:32 time: 0.7879 data_time: 0.0776 memory: 21548 grad_norm: 4.4070 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7092 loss: 0.7092 2022/08/02 01:13:24 - mmengine - INFO - Epoch(train) [98][860/940] lr: 1.0000e-04 eta: 0:29:14 time: 0.9118 data_time: 0.0904 memory: 21548 grad_norm: 4.5304 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6532 loss: 0.6532 2022/08/02 01:13:40 - mmengine - INFO - Epoch(train) [98][880/940] lr: 1.0000e-04 eta: 0:28:56 time: 0.7811 data_time: 0.1381 memory: 21548 grad_norm: 4.4742 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.7384 loss: 0.7384 2022/08/02 01:13:57 - mmengine - INFO - Epoch(train) [98][900/940] lr: 1.0000e-04 eta: 0:28:38 time: 0.8682 data_time: 0.1645 memory: 21548 grad_norm: 4.6250 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6962 loss: 0.6962 2022/08/02 01:14:15 - mmengine - INFO - Epoch(train) [98][920/940] lr: 1.0000e-04 eta: 0:28:20 time: 0.9083 data_time: 0.3155 memory: 21548 grad_norm: 4.4511 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7456 loss: 0.7456 2022/08/02 01:14:29 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/02 01:14:29 - mmengine - INFO - Epoch(train) [98][940/940] lr: 1.0000e-04 eta: 0:28:02 time: 0.6891 data_time: 0.2353 memory: 21548 grad_norm: 4.8615 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.7204 loss: 0.7204 2022/08/02 01:14:50 - mmengine - INFO - Epoch(val) [98][20/78] eta: 0:00:59 time: 1.0299 data_time: 0.9035 memory: 3271 2022/08/02 01:15:04 - mmengine - INFO - Epoch(val) [98][40/78] eta: 0:00:27 time: 0.7234 data_time: 0.5994 memory: 3271 2022/08/02 01:15:23 - mmengine - INFO - Epoch(val) [98][60/78] eta: 0:00:16 time: 0.9321 data_time: 0.8069 memory: 3271 2022/08/02 01:15:38 - mmengine - INFO - Epoch(val) [98][78/78] acc/top1: 0.7183 acc/top5: 0.8999 acc/mean1: 0.7182 2022/08/02 01:16:00 - mmengine - INFO - Epoch(train) [99][20/940] lr: 1.0000e-04 eta: 0:27:44 time: 1.1041 data_time: 0.5809 memory: 21548 grad_norm: 4.6333 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7240 loss: 0.7240 2022/08/02 01:16:16 - mmengine - INFO - Epoch(train) [99][40/940] lr: 1.0000e-04 eta: 0:27:26 time: 0.7880 data_time: 0.1789 memory: 21548 grad_norm: 4.5273 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6901 loss: 0.6901 2022/08/02 01:16:35 - mmengine - INFO - Epoch(train) [99][60/940] lr: 1.0000e-04 eta: 0:27:08 time: 0.9364 data_time: 0.3183 memory: 21548 grad_norm: 4.4958 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8430 loss: 0.8430 2022/08/02 01:16:51 - mmengine - INFO - Epoch(train) [99][80/940] lr: 1.0000e-04 eta: 0:26:50 time: 0.8203 data_time: 0.3949 memory: 21548 grad_norm: 4.5475 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7400 loss: 0.7400 2022/08/02 01:17:09 - mmengine - INFO - Epoch(train) [99][100/940] lr: 1.0000e-04 eta: 0:26:33 time: 0.9134 data_time: 0.5271 memory: 21548 grad_norm: 4.4753 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.7066 loss: 0.7066 2022/08/02 01:17:25 - mmengine - INFO - Epoch(train) [99][120/940] lr: 1.0000e-04 eta: 0:26:15 time: 0.7814 data_time: 0.3217 memory: 21548 grad_norm: 4.4981 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.7194 loss: 0.7194 2022/08/02 01:17:44 - mmengine - INFO - Epoch(train) [99][140/940] lr: 1.0000e-04 eta: 0:25:57 time: 0.9724 data_time: 0.5466 memory: 21548 grad_norm: 4.4869 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.7814 loss: 0.7814 2022/08/02 01:18:00 - mmengine - INFO - Epoch(train) [99][160/940] lr: 1.0000e-04 eta: 0:25:39 time: 0.7677 data_time: 0.3697 memory: 21548 grad_norm: 4.5721 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6013 loss: 0.6013 2022/08/02 01:18:18 - mmengine - INFO - Epoch(train) [99][180/940] lr: 1.0000e-04 eta: 0:25:21 time: 0.9069 data_time: 0.4990 memory: 21548 grad_norm: 4.5971 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7515 loss: 0.7515 2022/08/02 01:18:34 - mmengine - INFO - Epoch(train) [99][200/940] lr: 1.0000e-04 eta: 0:25:03 time: 0.7924 data_time: 0.3853 memory: 21548 grad_norm: 4.5348 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7514 loss: 0.7514 2022/08/02 01:18:53 - mmengine - INFO - Epoch(train) [99][220/940] lr: 1.0000e-04 eta: 0:24:45 time: 0.9459 data_time: 0.5090 memory: 21548 grad_norm: 4.5833 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8106 loss: 0.8106 2022/08/02 01:19:08 - mmengine - INFO - Epoch(train) [99][240/940] lr: 1.0000e-04 eta: 0:24:27 time: 0.7593 data_time: 0.3539 memory: 21548 grad_norm: 4.3616 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7396 loss: 0.7396 2022/08/02 01:19:28 - mmengine - INFO - Epoch(train) [99][260/940] lr: 1.0000e-04 eta: 0:24:09 time: 1.0251 data_time: 0.5942 memory: 21548 grad_norm: 4.5123 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7021 loss: 0.7021 2022/08/02 01:19:44 - mmengine - INFO - Epoch(train) [99][280/940] lr: 1.0000e-04 eta: 0:23:51 time: 0.7816 data_time: 0.3519 memory: 21548 grad_norm: 4.6007 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7920 loss: 0.7920 2022/08/02 01:20:04 - mmengine - INFO - Epoch(train) [99][300/940] lr: 1.0000e-04 eta: 0:23:33 time: 0.9780 data_time: 0.5234 memory: 21548 grad_norm: 4.6339 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7900 loss: 0.7900 2022/08/02 01:20:18 - mmengine - INFO - Epoch(train) [99][320/940] lr: 1.0000e-04 eta: 0:23:16 time: 0.7402 data_time: 0.3172 memory: 21548 grad_norm: 4.7381 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7518 loss: 0.7518 2022/08/02 01:20:37 - mmengine - INFO - Epoch(train) [99][340/940] lr: 1.0000e-04 eta: 0:22:58 time: 0.9215 data_time: 0.4394 memory: 21548 grad_norm: 4.6245 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8638 loss: 0.8638 2022/08/02 01:20:53 - mmengine - INFO - Epoch(train) [99][360/940] lr: 1.0000e-04 eta: 0:22:40 time: 0.7815 data_time: 0.3083 memory: 21548 grad_norm: 4.6125 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7075 loss: 0.7075 2022/08/02 01:21:12 - mmengine - INFO - Epoch(train) [99][380/940] lr: 1.0000e-04 eta: 0:22:22 time: 0.9602 data_time: 0.4863 memory: 21548 grad_norm: 4.4995 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6766 loss: 0.6766 2022/08/02 01:21:29 - mmengine - INFO - Epoch(train) [99][400/940] lr: 1.0000e-04 eta: 0:22:04 time: 0.8482 data_time: 0.3829 memory: 21548 grad_norm: 4.4845 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8478 loss: 0.8478 2022/08/02 01:21:47 - mmengine - INFO - Epoch(train) [99][420/940] lr: 1.0000e-04 eta: 0:21:46 time: 0.9037 data_time: 0.4777 memory: 21548 grad_norm: 4.5675 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7247 loss: 0.7247 2022/08/02 01:22:03 - mmengine - INFO - Epoch(train) [99][440/940] lr: 1.0000e-04 eta: 0:21:28 time: 0.7839 data_time: 0.3189 memory: 21548 grad_norm: 4.4808 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6971 loss: 0.6971 2022/08/02 01:22:21 - mmengine - INFO - Epoch(train) [99][460/940] lr: 1.0000e-04 eta: 0:21:10 time: 0.9086 data_time: 0.4440 memory: 21548 grad_norm: 4.5647 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7550 loss: 0.7550 2022/08/02 01:22:37 - mmengine - INFO - Epoch(train) [99][480/940] lr: 1.0000e-04 eta: 0:20:52 time: 0.8318 data_time: 0.3406 memory: 21548 grad_norm: 4.5440 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7824 loss: 0.7824 2022/08/02 01:22:55 - mmengine - INFO - Epoch(train) [99][500/940] lr: 1.0000e-04 eta: 0:20:34 time: 0.9077 data_time: 0.4257 memory: 21548 grad_norm: 4.5054 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.7626 loss: 0.7626 2022/08/02 01:23:10 - mmengine - INFO - Epoch(train) [99][520/940] lr: 1.0000e-04 eta: 0:20:16 time: 0.7140 data_time: 0.2931 memory: 21548 grad_norm: 4.4774 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6680 loss: 0.6680 2022/08/02 01:23:29 - mmengine - INFO - Epoch(train) [99][540/940] lr: 1.0000e-04 eta: 0:19:59 time: 0.9386 data_time: 0.4703 memory: 21548 grad_norm: 4.5148 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7692 loss: 0.7692 2022/08/02 01:23:44 - mmengine - INFO - Epoch(train) [99][560/940] lr: 1.0000e-04 eta: 0:19:41 time: 0.7851 data_time: 0.3200 memory: 21548 grad_norm: 4.5008 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6336 loss: 0.6336 2022/08/02 01:24:04 - mmengine - INFO - Epoch(train) [99][580/940] lr: 1.0000e-04 eta: 0:19:23 time: 0.9716 data_time: 0.5114 memory: 21548 grad_norm: 4.4934 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7582 loss: 0.7582 2022/08/02 01:24:19 - mmengine - INFO - Epoch(train) [99][600/940] lr: 1.0000e-04 eta: 0:19:05 time: 0.7467 data_time: 0.3272 memory: 21548 grad_norm: 4.4454 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7513 loss: 0.7513 2022/08/02 01:24:37 - mmengine - INFO - Epoch(train) [99][620/940] lr: 1.0000e-04 eta: 0:18:47 time: 0.9124 data_time: 0.4298 memory: 21548 grad_norm: 4.5894 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7881 loss: 0.7881 2022/08/02 01:24:52 - mmengine - INFO - Epoch(train) [99][640/940] lr: 1.0000e-04 eta: 0:18:29 time: 0.7456 data_time: 0.2799 memory: 21548 grad_norm: 4.5895 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7805 loss: 0.7805 2022/08/02 01:25:11 - mmengine - INFO - Epoch(train) [99][660/940] lr: 1.0000e-04 eta: 0:18:11 time: 0.9511 data_time: 0.4666 memory: 21548 grad_norm: 4.5739 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7365 loss: 0.7365 2022/08/02 01:25:27 - mmengine - INFO - Epoch(train) [99][680/940] lr: 1.0000e-04 eta: 0:17:53 time: 0.8262 data_time: 0.2114 memory: 21548 grad_norm: 4.6710 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7792 loss: 0.7792 2022/08/02 01:25:46 - mmengine - INFO - Epoch(train) [99][700/940] lr: 1.0000e-04 eta: 0:17:35 time: 0.9271 data_time: 0.1692 memory: 21548 grad_norm: 4.5775 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7145 loss: 0.7145 2022/08/02 01:26:04 - mmengine - INFO - Epoch(train) [99][720/940] lr: 1.0000e-04 eta: 0:17:17 time: 0.8813 data_time: 0.0748 memory: 21548 grad_norm: 4.6890 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7616 loss: 0.7616 2022/08/02 01:26:22 - mmengine - INFO - Epoch(train) [99][740/940] lr: 1.0000e-04 eta: 0:17:00 time: 0.9122 data_time: 0.0412 memory: 21548 grad_norm: 4.4768 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7424 loss: 0.7424 2022/08/02 01:26:38 - mmengine - INFO - Epoch(train) [99][760/940] lr: 1.0000e-04 eta: 0:16:42 time: 0.8146 data_time: 0.0344 memory: 21548 grad_norm: 4.5390 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8325 loss: 0.8325 2022/08/02 01:26:55 - mmengine - INFO - Epoch(train) [99][780/940] lr: 1.0000e-04 eta: 0:16:24 time: 0.8566 data_time: 0.0721 memory: 21548 grad_norm: 4.6043 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7410 loss: 0.7410 2022/08/02 01:27:14 - mmengine - INFO - Epoch(train) [99][800/940] lr: 1.0000e-04 eta: 0:16:06 time: 0.9283 data_time: 0.0435 memory: 21548 grad_norm: 4.5655 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.7849 loss: 0.7849 2022/08/02 01:27:29 - mmengine - INFO - Epoch(train) [99][820/940] lr: 1.0000e-04 eta: 0:15:48 time: 0.7800 data_time: 0.0528 memory: 21548 grad_norm: 4.4492 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6933 loss: 0.6933 2022/08/02 01:27:48 - mmengine - INFO - Epoch(train) [99][840/940] lr: 1.0000e-04 eta: 0:15:30 time: 0.9192 data_time: 0.0314 memory: 21548 grad_norm: 4.4803 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7412 loss: 0.7412 2022/08/02 01:28:06 - mmengine - INFO - Epoch(train) [99][860/940] lr: 1.0000e-04 eta: 0:15:12 time: 0.8888 data_time: 0.0473 memory: 21548 grad_norm: 4.5176 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7772 loss: 0.7772 2022/08/02 01:28:22 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/02 01:28:22 - mmengine - INFO - Epoch(train) [99][880/940] lr: 1.0000e-04 eta: 0:14:54 time: 0.7939 data_time: 0.0353 memory: 21548 grad_norm: 4.5865 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6843 loss: 0.6843 2022/08/02 01:28:39 - mmengine - INFO - Epoch(train) [99][900/940] lr: 1.0000e-04 eta: 0:14:36 time: 0.8887 data_time: 0.0342 memory: 21548 grad_norm: 4.5408 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7169 loss: 0.7169 2022/08/02 01:28:56 - mmengine - INFO - Epoch(train) [99][920/940] lr: 1.0000e-04 eta: 0:14:18 time: 0.8288 data_time: 0.0380 memory: 21548 grad_norm: 4.6249 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7663 loss: 0.7663 2022/08/02 01:29:12 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/02 01:29:12 - mmengine - INFO - Epoch(train) [99][940/940] lr: 1.0000e-04 eta: 0:14:00 time: 0.7855 data_time: 0.0252 memory: 21548 grad_norm: 4.9664 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.6929 loss: 0.6929 2022/08/02 01:29:12 - mmengine - INFO - Saving checkpoint at 99 epochs 2022/08/02 01:29:33 - mmengine - INFO - Epoch(val) [99][20/78] eta: 0:00:59 time: 1.0250 data_time: 0.8997 memory: 3271 2022/08/02 01:29:48 - mmengine - INFO - Epoch(val) [99][40/78] eta: 0:00:26 time: 0.7074 data_time: 0.5862 memory: 3271 2022/08/02 01:30:06 - mmengine - INFO - Epoch(val) [99][60/78] eta: 0:00:17 time: 0.9459 data_time: 0.8231 memory: 3271 2022/08/02 01:30:21 - mmengine - INFO - Epoch(val) [99][78/78] acc/top1: 0.7166 acc/top5: 0.8981 acc/mean1: 0.7165 2022/08/02 01:30:45 - mmengine - INFO - Epoch(train) [100][20/940] lr: 1.0000e-04 eta: 0:13:43 time: 1.1912 data_time: 0.5932 memory: 21548 grad_norm: 4.6861 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8723 loss: 0.8723 2022/08/02 01:30:58 - mmengine - INFO - Epoch(train) [100][40/940] lr: 1.0000e-04 eta: 0:13:25 time: 0.6750 data_time: 0.1777 memory: 21548 grad_norm: 4.6770 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8740 loss: 0.8740 2022/08/02 01:31:17 - mmengine - INFO - Epoch(train) [100][60/940] lr: 1.0000e-04 eta: 0:13:07 time: 0.9564 data_time: 0.2298 memory: 21548 grad_norm: 4.5343 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6664 loss: 0.6664 2022/08/02 01:31:33 - mmengine - INFO - Epoch(train) [100][80/940] lr: 1.0000e-04 eta: 0:12:49 time: 0.7976 data_time: 0.2028 memory: 21548 grad_norm: 4.5371 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6383 loss: 0.6383 2022/08/02 01:31:52 - mmengine - INFO - Epoch(train) [100][100/940] lr: 1.0000e-04 eta: 0:12:31 time: 0.9248 data_time: 0.2602 memory: 21548 grad_norm: 4.4934 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6198 loss: 0.6198 2022/08/02 01:32:09 - mmengine - INFO - Epoch(train) [100][120/940] lr: 1.0000e-04 eta: 0:12:13 time: 0.8846 data_time: 0.1857 memory: 21548 grad_norm: 4.5798 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7971 loss: 0.7971 2022/08/02 01:32:26 - mmengine - INFO - Epoch(train) [100][140/940] lr: 1.0000e-04 eta: 0:11:55 time: 0.8268 data_time: 0.0347 memory: 21548 grad_norm: 4.5150 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6901 loss: 0.6901 2022/08/02 01:32:42 - mmengine - INFO - Epoch(train) [100][160/940] lr: 1.0000e-04 eta: 0:11:37 time: 0.7928 data_time: 0.0435 memory: 21548 grad_norm: 4.6820 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7674 loss: 0.7674 2022/08/02 01:33:01 - mmengine - INFO - Epoch(train) [100][180/940] lr: 1.0000e-04 eta: 0:11:19 time: 0.9317 data_time: 0.0406 memory: 21548 grad_norm: 4.5905 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6977 loss: 0.6977 2022/08/02 01:33:15 - mmengine - INFO - Epoch(train) [100][200/940] lr: 1.0000e-04 eta: 0:11:02 time: 0.7440 data_time: 0.0649 memory: 21548 grad_norm: 4.5109 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7239 loss: 0.7239 2022/08/02 01:33:34 - mmengine - INFO - Epoch(train) [100][220/940] lr: 1.0000e-04 eta: 0:10:44 time: 0.9209 data_time: 0.0819 memory: 21548 grad_norm: 4.4853 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8080 loss: 0.8080 2022/08/02 01:33:50 - mmengine - INFO - Epoch(train) [100][240/940] lr: 1.0000e-04 eta: 0:10:26 time: 0.8305 data_time: 0.0363 memory: 21548 grad_norm: 4.4046 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7614 loss: 0.7614 2022/08/02 01:34:10 - mmengine - INFO - Epoch(train) [100][260/940] lr: 1.0000e-04 eta: 0:10:08 time: 0.9647 data_time: 0.0373 memory: 21548 grad_norm: 4.5519 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7093 loss: 0.7093 2022/08/02 01:34:26 - mmengine - INFO - Epoch(train) [100][280/940] lr: 1.0000e-04 eta: 0:09:50 time: 0.8202 data_time: 0.0367 memory: 21548 grad_norm: 4.7259 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7592 loss: 0.7592 2022/08/02 01:34:44 - mmengine - INFO - Epoch(train) [100][300/940] lr: 1.0000e-04 eta: 0:09:32 time: 0.9041 data_time: 0.0391 memory: 21548 grad_norm: 4.5284 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6861 loss: 0.6861 2022/08/02 01:35:00 - mmengine - INFO - Epoch(train) [100][320/940] lr: 1.0000e-04 eta: 0:09:14 time: 0.7719 data_time: 0.0341 memory: 21548 grad_norm: 4.6589 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7082 loss: 0.7082 2022/08/02 01:35:17 - mmengine - INFO - Epoch(train) [100][340/940] lr: 1.0000e-04 eta: 0:08:56 time: 0.8850 data_time: 0.0373 memory: 21548 grad_norm: 4.6614 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7329 loss: 0.7329 2022/08/02 01:35:33 - mmengine - INFO - Epoch(train) [100][360/940] lr: 1.0000e-04 eta: 0:08:38 time: 0.7809 data_time: 0.0533 memory: 21548 grad_norm: 4.5798 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7853 loss: 0.7853 2022/08/02 01:35:53 - mmengine - INFO - Epoch(train) [100][380/940] lr: 1.0000e-04 eta: 0:08:20 time: 1.0049 data_time: 0.0375 memory: 21548 grad_norm: 4.5756 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7827 loss: 0.7827 2022/08/02 01:36:09 - mmengine - INFO - Epoch(train) [100][400/940] lr: 1.0000e-04 eta: 0:08:03 time: 0.7927 data_time: 0.0386 memory: 21548 grad_norm: 4.6235 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7159 loss: 0.7159 2022/08/02 01:36:27 - mmengine - INFO - Epoch(train) [100][420/940] lr: 1.0000e-04 eta: 0:07:45 time: 0.9180 data_time: 0.0346 memory: 21548 grad_norm: 4.6299 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7728 loss: 0.7728 2022/08/02 01:36:44 - mmengine - INFO - Epoch(train) [100][440/940] lr: 1.0000e-04 eta: 0:07:27 time: 0.8214 data_time: 0.0413 memory: 21548 grad_norm: 4.5280 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7100 loss: 0.7100 2022/08/02 01:37:02 - mmengine - INFO - Epoch(train) [100][460/940] lr: 1.0000e-04 eta: 0:07:09 time: 0.9287 data_time: 0.0412 memory: 21548 grad_norm: 4.5943 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.7156 loss: 0.7156 2022/08/02 01:37:17 - mmengine - INFO - Epoch(train) [100][480/940] lr: 1.0000e-04 eta: 0:06:51 time: 0.7518 data_time: 0.0411 memory: 21548 grad_norm: 4.5828 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6939 loss: 0.6939 2022/08/02 01:37:38 - mmengine - INFO - Epoch(train) [100][500/940] lr: 1.0000e-04 eta: 0:06:33 time: 1.0579 data_time: 0.0371 memory: 21548 grad_norm: 4.6234 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7558 loss: 0.7558 2022/08/02 01:37:54 - mmengine - INFO - Epoch(train) [100][520/940] lr: 1.0000e-04 eta: 0:06:15 time: 0.7657 data_time: 0.0458 memory: 21548 grad_norm: 4.5749 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7452 loss: 0.7452 2022/08/02 01:38:12 - mmengine - INFO - Epoch(train) [100][540/940] lr: 1.0000e-04 eta: 0:05:57 time: 0.9312 data_time: 0.0405 memory: 21548 grad_norm: 4.4907 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7327 loss: 0.7327 2022/08/02 01:38:28 - mmengine - INFO - Epoch(train) [100][560/940] lr: 1.0000e-04 eta: 0:05:39 time: 0.7955 data_time: 0.0405 memory: 21548 grad_norm: 4.4402 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7166 loss: 0.7166 2022/08/02 01:38:46 - mmengine - INFO - Epoch(train) [100][580/940] lr: 1.0000e-04 eta: 0:05:22 time: 0.8784 data_time: 0.0364 memory: 21548 grad_norm: 4.4638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7740 loss: 0.7740 2022/08/02 01:39:02 - mmengine - INFO - Epoch(train) [100][600/940] lr: 1.0000e-04 eta: 0:05:04 time: 0.7806 data_time: 0.0386 memory: 21548 grad_norm: 4.4561 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7632 loss: 0.7632 2022/08/02 01:39:20 - mmengine - INFO - Epoch(train) [100][620/940] lr: 1.0000e-04 eta: 0:04:46 time: 0.9380 data_time: 0.0372 memory: 21548 grad_norm: 4.4656 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7232 loss: 0.7232 2022/08/02 01:39:36 - mmengine - INFO - Epoch(train) [100][640/940] lr: 1.0000e-04 eta: 0:04:28 time: 0.7824 data_time: 0.0375 memory: 21548 grad_norm: 4.5365 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8076 loss: 0.8076 2022/08/02 01:39:55 - mmengine - INFO - Epoch(train) [100][660/940] lr: 1.0000e-04 eta: 0:04:10 time: 0.9271 data_time: 0.0380 memory: 21548 grad_norm: 4.5768 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7513 loss: 0.7513 2022/08/02 01:40:10 - mmengine - INFO - Epoch(train) [100][680/940] lr: 1.0000e-04 eta: 0:03:52 time: 0.7973 data_time: 0.0377 memory: 21548 grad_norm: 4.6395 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8437 loss: 0.8437 2022/08/02 01:40:29 - mmengine - INFO - Epoch(train) [100][700/940] lr: 1.0000e-04 eta: 0:03:34 time: 0.9199 data_time: 0.0462 memory: 21548 grad_norm: 4.6974 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7308 loss: 0.7308 2022/08/02 01:40:45 - mmengine - INFO - Epoch(train) [100][720/940] lr: 1.0000e-04 eta: 0:03:16 time: 0.7800 data_time: 0.0469 memory: 21548 grad_norm: 4.7919 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7489 loss: 0.7489 2022/08/02 01:41:03 - mmengine - INFO - Epoch(train) [100][740/940] lr: 1.0000e-04 eta: 0:02:58 time: 0.9031 data_time: 0.0478 memory: 21548 grad_norm: 4.5996 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8041 loss: 0.8041 2022/08/02 01:41:19 - mmengine - INFO - Epoch(train) [100][760/940] lr: 1.0000e-04 eta: 0:02:40 time: 0.8329 data_time: 0.0371 memory: 21548 grad_norm: 4.5478 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8125 loss: 0.8125 2022/08/02 01:41:38 - mmengine - INFO - Epoch(train) [100][780/940] lr: 1.0000e-04 eta: 0:02:23 time: 0.9499 data_time: 0.0601 memory: 21548 grad_norm: 4.3992 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6952 loss: 0.6952 2022/08/02 01:41:53 - mmengine - INFO - Epoch(train) [100][800/940] lr: 1.0000e-04 eta: 0:02:05 time: 0.7403 data_time: 0.0412 memory: 21548 grad_norm: 4.5288 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8056 loss: 0.8056 2022/08/02 01:42:12 - mmengine - INFO - Epoch(train) [100][820/940] lr: 1.0000e-04 eta: 0:01:47 time: 0.9285 data_time: 0.0392 memory: 21548 grad_norm: 4.4129 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.6785 loss: 0.6785 2022/08/02 01:42:26 - mmengine - INFO - Epoch(train) [100][840/940] lr: 1.0000e-04 eta: 0:01:29 time: 0.7384 data_time: 0.0412 memory: 21548 grad_norm: 4.4716 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7817 loss: 0.7817 2022/08/02 01:42:46 - mmengine - INFO - Epoch(train) [100][860/940] lr: 1.0000e-04 eta: 0:01:11 time: 0.9729 data_time: 0.0469 memory: 21548 grad_norm: 4.6400 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7590 loss: 0.7590 2022/08/02 01:43:02 - mmengine - INFO - Epoch(train) [100][880/940] lr: 1.0000e-04 eta: 0:00:53 time: 0.7887 data_time: 0.0359 memory: 21548 grad_norm: 4.5914 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7335 loss: 0.7335 2022/08/02 01:43:21 - mmengine - INFO - Epoch(train) [100][900/940] lr: 1.0000e-04 eta: 0:00:35 time: 0.9574 data_time: 0.0376 memory: 21548 grad_norm: 4.5249 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6284 loss: 0.6284 2022/08/02 01:43:36 - mmengine - INFO - Epoch(train) [100][920/940] lr: 1.0000e-04 eta: 0:00:17 time: 0.7814 data_time: 0.0361 memory: 21548 grad_norm: 4.4756 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7075 loss: 0.7075 2022/08/02 01:43:51 - mmengine - INFO - Exp name: tsn_r50_1x1x8_100e_kinetics400_rgb_20220731_235827 2022/08/02 01:43:51 - mmengine - INFO - Epoch(train) [100][940/940] lr: 1.0000e-04 eta: 0:00:00 time: 0.7068 data_time: 0.0306 memory: 21548 grad_norm: 4.8131 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 0.8315 loss: 0.8315 2022/08/02 01:43:51 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/08/02 01:44:12 - mmengine - INFO - Epoch(val) [100][20/78] eta: 0:00:59 time: 1.0314 data_time: 0.9087 memory: 3271 2022/08/02 01:44:27 - mmengine - INFO - Epoch(val) [100][40/78] eta: 0:00:27 time: 0.7112 data_time: 0.5875 memory: 3271 2022/08/02 01:44:45 - mmengine - INFO - Epoch(val) [100][60/78] eta: 0:00:16 time: 0.9271 data_time: 0.7972 memory: 3271 2022/08/02 01:45:01 - mmengine - INFO - Epoch(val) [100][78/78] acc/top1: 0.7165 acc/top5: 0.8974 acc/mean1: 0.7164