2022/08/08 16:21:46 - mmengine - INFO - These parameters in pretrained checkpoint are not loaded: {'fc.weight', 'fc.bias'} 2022/08/08 16:21:47 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb by HardDiskBackend. 2022/08/08 16:34:08 - mmengine - INFO - Epoch(train) [1][20/1879] lr: 2.0000e-03 eta: 80 days, 13:06:37 time: 37.0406 data_time: 36.2914 memory: 13723 grad_norm: 2.3651 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.9443 loss: 5.9443 2022/08/08 16:34:22 - mmengine - INFO - Epoch(train) [1][40/1879] lr: 2.0000e-03 eta: 41 days, 0:07:08 time: 0.6771 data_time: 0.0196 memory: 13723 grad_norm: 2.4148 top1_acc: 0.0625 top5_acc: 0.0625 loss_cls: 5.8344 loss: 5.8344 2022/08/08 16:34:40 - mmengine - INFO - Epoch(train) [1][60/1879] lr: 2.0000e-03 eta: 27 days, 23:49:30 time: 0.9093 data_time: 0.0181 memory: 13723 grad_norm: 2.4954 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7441 loss: 5.7441 2022/08/08 16:34:51 - mmengine - INFO - Epoch(train) [1][80/1879] lr: 2.0000e-03 eta: 21 days, 7:12:26 time: 0.5667 data_time: 0.0204 memory: 13723 grad_norm: 2.6208 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 5.4490 loss: 5.4490 2022/08/08 16:35:03 - mmengine - INFO - Epoch(train) [1][100/1879] lr: 2.0000e-03 eta: 17 days, 7:17:16 time: 0.6101 data_time: 0.0214 memory: 13723 grad_norm: 2.7305 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.2437 loss: 5.2437 2022/08/08 16:35:16 - mmengine - INFO - Epoch(train) [1][120/1879] lr: 2.0000e-03 eta: 14 days, 15:33:36 time: 0.6354 data_time: 0.0279 memory: 13723 grad_norm: 2.8645 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 5.0694 loss: 5.0694 2022/08/08 16:35:28 - mmengine - INFO - Epoch(train) [1][140/1879] lr: 2.0000e-03 eta: 12 days, 17:35:46 time: 0.5759 data_time: 0.0218 memory: 13723 grad_norm: 2.9085 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 4.7042 loss: 4.7042 2022/08/08 16:35:39 - mmengine - INFO - Epoch(train) [1][160/1879] lr: 2.0000e-03 eta: 11 days, 7:07:32 time: 0.5764 data_time: 0.0218 memory: 13723 grad_norm: 3.0471 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 4.5765 loss: 4.5765 2022/08/08 16:35:54 - mmengine - INFO - Epoch(train) [1][180/1879] lr: 2.0000e-03 eta: 10 days, 5:11:50 time: 0.7288 data_time: 0.0188 memory: 13723 grad_norm: 3.1391 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 4.4974 loss: 4.4974 2022/08/08 16:36:05 - mmengine - INFO - Epoch(train) [1][200/1879] lr: 2.0000e-03 eta: 9 days, 7:36:21 time: 0.5662 data_time: 0.0219 memory: 13723 grad_norm: 3.2063 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.2895 loss: 4.2895 2022/08/08 16:36:17 - mmengine - INFO - Epoch(train) [1][220/1879] lr: 2.0000e-03 eta: 8 days, 13:58:30 time: 0.5736 data_time: 0.0198 memory: 13723 grad_norm: 3.2972 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 4.3507 loss: 4.3507 2022/08/08 16:36:29 - mmengine - INFO - Epoch(train) [1][240/1879] lr: 2.0000e-03 eta: 7 days, 23:29:05 time: 0.6202 data_time: 0.0210 memory: 13723 grad_norm: 3.3782 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 4.1064 loss: 4.1064 2022/08/08 16:36:41 - mmengine - INFO - Epoch(train) [1][260/1879] lr: 2.0000e-03 eta: 7 days, 11:12:46 time: 0.6177 data_time: 0.0173 memory: 13723 grad_norm: 3.4408 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 4.0539 loss: 4.0539 2022/08/08 16:36:56 - mmengine - INFO - Epoch(train) [1][280/1879] lr: 2.0000e-03 eta: 7 days, 1:10:05 time: 0.7452 data_time: 0.0185 memory: 13723 grad_norm: 3.5190 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 4.0601 loss: 4.0601 2022/08/08 16:37:08 - mmengine - INFO - Epoch(train) [1][300/1879] lr: 2.0000e-03 eta: 6 days, 15:56:38 time: 0.5960 data_time: 0.0210 memory: 13723 grad_norm: 3.5333 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 3.9280 loss: 3.9280 2022/08/08 16:37:23 - mmengine - INFO - Epoch(train) [1][320/1879] lr: 2.0000e-03 eta: 6 days, 8:21:39 time: 0.7460 data_time: 0.0774 memory: 13723 grad_norm: 3.5920 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8931 loss: 3.8931 2022/08/08 16:37:37 - mmengine - INFO - Epoch(train) [1][340/1879] lr: 2.0000e-03 eta: 6 days, 1:32:00 time: 0.7016 data_time: 0.0162 memory: 13723 grad_norm: 3.6681 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 3.6795 loss: 3.6795 2022/08/08 16:37:51 - mmengine - INFO - Epoch(train) [1][360/1879] lr: 2.0000e-03 eta: 5 days, 19:24:45 time: 0.6838 data_time: 0.0184 memory: 13723 grad_norm: 3.7411 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.6579 loss: 3.6579 2022/08/08 16:38:05 - mmengine - INFO - Epoch(train) [1][380/1879] lr: 2.0000e-03 eta: 5 days, 13:59:13 time: 0.7026 data_time: 0.0176 memory: 13723 grad_norm: 3.8749 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.6310 loss: 3.6310 2022/08/08 16:38:17 - mmengine - INFO - Epoch(train) [1][400/1879] lr: 2.0000e-03 eta: 5 days, 8:51:01 time: 0.6053 data_time: 0.0247 memory: 13723 grad_norm: 3.8639 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6875 loss: 3.6875 2022/08/08 16:38:31 - mmengine - INFO - Epoch(train) [1][420/1879] lr: 2.0000e-03 eta: 5 days, 4:23:20 time: 0.6804 data_time: 0.0181 memory: 13723 grad_norm: 3.9185 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.6746 loss: 3.6746 2022/08/08 16:38:42 - mmengine - INFO - Epoch(train) [1][440/1879] lr: 2.0000e-03 eta: 5 days, 0:02:24 time: 0.5568 data_time: 0.0200 memory: 13723 grad_norm: 3.9612 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 3.5253 loss: 3.5253 2022/08/08 16:38:53 - mmengine - INFO - Epoch(train) [1][460/1879] lr: 2.0000e-03 eta: 4 days, 20:06:25 time: 0.5734 data_time: 0.0216 memory: 13723 grad_norm: 4.0244 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.4338 loss: 3.4338 2022/08/08 16:39:05 - mmengine - INFO - Epoch(train) [1][480/1879] lr: 2.0000e-03 eta: 4 days, 16:31:22 time: 0.5834 data_time: 0.0205 memory: 13723 grad_norm: 4.1047 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.7216 loss: 3.7216 2022/08/08 16:39:17 - mmengine - INFO - Epoch(train) [1][500/1879] lr: 2.0000e-03 eta: 4 days, 13:13:31 time: 0.5835 data_time: 0.0254 memory: 13723 grad_norm: 4.1285 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3200 loss: 3.3200 2022/08/08 16:39:28 - mmengine - INFO - Epoch(train) [1][520/1879] lr: 2.0000e-03 eta: 4 days, 10:09:21 time: 0.5709 data_time: 0.0206 memory: 13723 grad_norm: 4.1513 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 3.3413 loss: 3.3413 2022/08/08 16:39:39 - mmengine - INFO - Epoch(train) [1][540/1879] lr: 2.0000e-03 eta: 4 days, 7:18:43 time: 0.5699 data_time: 0.0246 memory: 13723 grad_norm: 4.1891 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.3943 loss: 3.3943 2022/08/08 16:39:51 - mmengine - INFO - Epoch(train) [1][560/1879] lr: 2.0000e-03 eta: 4 days, 4:40:05 time: 0.5685 data_time: 0.0249 memory: 13723 grad_norm: 4.1746 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 3.3508 loss: 3.3508 2022/08/08 16:40:02 - mmengine - INFO - Epoch(train) [1][580/1879] lr: 2.0000e-03 eta: 4 days, 2:11:42 time: 0.5621 data_time: 0.0223 memory: 13723 grad_norm: 4.3007 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 3.2305 loss: 3.2305 2022/08/08 16:40:13 - mmengine - INFO - Epoch(train) [1][600/1879] lr: 2.0000e-03 eta: 3 days, 23:54:32 time: 0.5750 data_time: 0.0319 memory: 13723 grad_norm: 4.2608 top1_acc: 0.1875 top5_acc: 0.2500 loss_cls: 3.3558 loss: 3.3558 2022/08/08 16:40:25 - mmengine - INFO - Epoch(train) [1][620/1879] lr: 2.0000e-03 eta: 3 days, 21:46:15 time: 0.5754 data_time: 0.0249 memory: 13723 grad_norm: 4.4043 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.2941 loss: 3.2941 2022/08/08 16:40:37 - mmengine - INFO - Epoch(train) [1][640/1879] lr: 2.0000e-03 eta: 3 days, 19:46:17 time: 0.5787 data_time: 0.0247 memory: 13723 grad_norm: 4.3951 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1081 loss: 3.1081 2022/08/08 16:40:48 - mmengine - INFO - Epoch(train) [1][660/1879] lr: 2.0000e-03 eta: 3 days, 17:53:29 time: 0.5776 data_time: 0.0255 memory: 13723 grad_norm: 4.4798 top1_acc: 0.2500 top5_acc: 0.3125 loss_cls: 3.4234 loss: 3.4234 2022/08/08 16:41:00 - mmengine - INFO - Epoch(train) [1][680/1879] lr: 2.0000e-03 eta: 3 days, 16:06:38 time: 0.5703 data_time: 0.0232 memory: 13723 grad_norm: 4.4692 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 3.1410 loss: 3.1410 2022/08/08 16:41:11 - mmengine - INFO - Epoch(train) [1][700/1879] lr: 2.0000e-03 eta: 3 days, 14:25:38 time: 0.5676 data_time: 0.0254 memory: 13723 grad_norm: 4.4767 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.1667 loss: 3.1667 2022/08/08 16:41:22 - mmengine - INFO - Epoch(train) [1][720/1879] lr: 2.0000e-03 eta: 3 days, 12:50:00 time: 0.5648 data_time: 0.0218 memory: 13723 grad_norm: 4.5429 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 3.1835 loss: 3.1835 2022/08/08 16:41:34 - mmengine - INFO - Epoch(train) [1][740/1879] lr: 2.0000e-03 eta: 3 days, 11:20:47 time: 0.5797 data_time: 0.0232 memory: 13723 grad_norm: 4.5490 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 3.2384 loss: 3.2384 2022/08/08 16:41:46 - mmengine - INFO - Epoch(train) [1][760/1879] lr: 2.0000e-03 eta: 3 days, 10:00:10 time: 0.6275 data_time: 0.0213 memory: 13723 grad_norm: 4.6358 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.1566 loss: 3.1566 2022/08/08 16:41:58 - mmengine - INFO - Epoch(train) [1][780/1879] lr: 2.0000e-03 eta: 3 days, 8:38:15 time: 0.5596 data_time: 0.0188 memory: 13723 grad_norm: 4.5627 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0347 loss: 3.0347 2022/08/08 16:42:09 - mmengine - INFO - Epoch(train) [1][800/1879] lr: 2.0000e-03 eta: 3 days, 7:20:40 time: 0.5630 data_time: 0.0252 memory: 13723 grad_norm: 4.6432 top1_acc: 0.1250 top5_acc: 0.6875 loss_cls: 3.1541 loss: 3.1541 2022/08/08 16:42:20 - mmengine - INFO - Epoch(train) [1][820/1879] lr: 2.0000e-03 eta: 3 days, 6:06:52 time: 0.5627 data_time: 0.0237 memory: 13723 grad_norm: 4.7116 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 3.1099 loss: 3.1099 2022/08/08 16:42:31 - mmengine - INFO - Epoch(train) [1][840/1879] lr: 2.0000e-03 eta: 3 days, 4:57:00 time: 0.5688 data_time: 0.0267 memory: 13723 grad_norm: 4.7361 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.9068 loss: 2.9068 2022/08/08 16:42:43 - mmengine - INFO - Epoch(train) [1][860/1879] lr: 2.0000e-03 eta: 3 days, 3:49:54 time: 0.5621 data_time: 0.0240 memory: 13723 grad_norm: 4.7753 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9464 loss: 2.9464 2022/08/08 16:42:54 - mmengine - INFO - Epoch(train) [1][880/1879] lr: 2.0000e-03 eta: 3 days, 2:46:06 time: 0.5659 data_time: 0.0236 memory: 13723 grad_norm: 4.6780 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8764 loss: 2.8764 2022/08/08 16:43:05 - mmengine - INFO - Epoch(train) [1][900/1879] lr: 2.0000e-03 eta: 3 days, 1:45:18 time: 0.5682 data_time: 0.0233 memory: 13723 grad_norm: 4.7856 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.9008 loss: 2.9008 2022/08/08 16:43:17 - mmengine - INFO - Epoch(train) [1][920/1879] lr: 2.0000e-03 eta: 3 days, 0:46:32 time: 0.5595 data_time: 0.0240 memory: 13723 grad_norm: 4.8637 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.9374 loss: 2.9374 2022/08/08 16:43:28 - mmengine - INFO - Epoch(train) [1][940/1879] lr: 2.0000e-03 eta: 2 days, 23:50:25 time: 0.5617 data_time: 0.0230 memory: 13723 grad_norm: 4.8085 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.9461 loss: 2.9461 2022/08/08 16:43:39 - mmengine - INFO - Epoch(train) [1][960/1879] lr: 2.0000e-03 eta: 2 days, 22:56:22 time: 0.5579 data_time: 0.0234 memory: 13723 grad_norm: 4.7793 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.8530 loss: 2.8530 2022/08/08 16:43:50 - mmengine - INFO - Epoch(train) [1][980/1879] lr: 2.0000e-03 eta: 2 days, 22:04:45 time: 0.5613 data_time: 0.0248 memory: 13723 grad_norm: 4.9683 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7979 loss: 2.7979 2022/08/08 16:44:01 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 16:44:01 - mmengine - INFO - Epoch(train) [1][1000/1879] lr: 2.0000e-03 eta: 2 days, 21:15:14 time: 0.5622 data_time: 0.0256 memory: 13723 grad_norm: 4.8811 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.9501 loss: 2.9501 2022/08/08 16:44:13 - mmengine - INFO - Epoch(train) [1][1020/1879] lr: 2.0000e-03 eta: 2 days, 20:27:45 time: 0.5637 data_time: 0.0248 memory: 13723 grad_norm: 4.9000 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7825 loss: 2.7825 2022/08/08 16:44:24 - mmengine - INFO - Epoch(train) [1][1040/1879] lr: 2.0000e-03 eta: 2 days, 19:41:39 time: 0.5563 data_time: 0.0236 memory: 13723 grad_norm: 4.9546 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.9517 loss: 2.9517 2022/08/08 16:44:35 - mmengine - INFO - Epoch(train) [1][1060/1879] lr: 2.0000e-03 eta: 2 days, 18:57:52 time: 0.5666 data_time: 0.0260 memory: 13723 grad_norm: 4.9873 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.8834 loss: 2.8834 2022/08/08 16:44:46 - mmengine - INFO - Epoch(train) [1][1080/1879] lr: 2.0000e-03 eta: 2 days, 18:15:19 time: 0.5597 data_time: 0.0236 memory: 13723 grad_norm: 4.9310 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.7618 loss: 2.7618 2022/08/08 16:44:58 - mmengine - INFO - Epoch(train) [1][1100/1879] lr: 2.0000e-03 eta: 2 days, 17:34:36 time: 0.5650 data_time: 0.0226 memory: 13723 grad_norm: 4.9757 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9783 loss: 2.9783 2022/08/08 16:45:09 - mmengine - INFO - Epoch(train) [1][1120/1879] lr: 2.0000e-03 eta: 2 days, 16:54:50 time: 0.5558 data_time: 0.0200 memory: 13723 grad_norm: 5.0156 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.7225 loss: 2.7225 2022/08/08 16:45:23 - mmengine - INFO - Epoch(train) [1][1140/1879] lr: 2.0000e-03 eta: 2 days, 16:25:47 time: 0.7269 data_time: 0.0247 memory: 13723 grad_norm: 5.0724 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7270 loss: 2.7270 2022/08/08 16:45:36 - mmengine - INFO - Epoch(train) [1][1160/1879] lr: 2.0000e-03 eta: 2 days, 15:52:17 time: 0.6255 data_time: 0.0228 memory: 13723 grad_norm: 5.1398 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 2.7552 loss: 2.7552 2022/08/08 16:45:48 - mmengine - INFO - Epoch(train) [1][1180/1879] lr: 2.0000e-03 eta: 2 days, 15:18:19 time: 0.5951 data_time: 0.0178 memory: 13723 grad_norm: 5.1143 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.9597 loss: 2.9597 2022/08/08 16:46:00 - mmengine - INFO - Epoch(train) [1][1200/1879] lr: 2.0000e-03 eta: 2 days, 14:46:43 time: 0.6191 data_time: 0.0196 memory: 13723 grad_norm: 5.1365 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.9416 loss: 2.9416 2022/08/08 16:46:12 - mmengine - INFO - Epoch(train) [1][1220/1879] lr: 2.0000e-03 eta: 2 days, 14:13:47 time: 0.5726 data_time: 0.0247 memory: 13723 grad_norm: 5.2624 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.8373 loss: 2.8373 2022/08/08 16:46:23 - mmengine - INFO - Epoch(train) [1][1240/1879] lr: 2.0000e-03 eta: 2 days, 13:41:58 time: 0.5740 data_time: 0.0247 memory: 13723 grad_norm: 5.1994 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.7374 loss: 2.7374 2022/08/08 16:46:34 - mmengine - INFO - Epoch(train) [1][1260/1879] lr: 2.0000e-03 eta: 2 days, 13:11:01 time: 0.5710 data_time: 0.0225 memory: 13723 grad_norm: 5.2709 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.8367 loss: 2.8367 2022/08/08 16:46:46 - mmengine - INFO - Epoch(train) [1][1280/1879] lr: 2.0000e-03 eta: 2 days, 12:40:36 time: 0.5625 data_time: 0.0239 memory: 13723 grad_norm: 5.1190 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.8357 loss: 2.8357 2022/08/08 16:46:57 - mmengine - INFO - Epoch(train) [1][1300/1879] lr: 2.0000e-03 eta: 2 days, 12:11:10 time: 0.5636 data_time: 0.0274 memory: 13723 grad_norm: 5.1178 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5410 loss: 2.5410 2022/08/08 16:47:08 - mmengine - INFO - Epoch(train) [1][1320/1879] lr: 2.0000e-03 eta: 2 days, 11:42:32 time: 0.5614 data_time: 0.0246 memory: 13723 grad_norm: 5.3614 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6562 loss: 2.6562 2022/08/08 16:47:19 - mmengine - INFO - Epoch(train) [1][1340/1879] lr: 2.0000e-03 eta: 2 days, 11:14:36 time: 0.5584 data_time: 0.0248 memory: 13723 grad_norm: 5.2560 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5915 loss: 2.5915 2022/08/08 16:47:30 - mmengine - INFO - Epoch(train) [1][1360/1879] lr: 2.0000e-03 eta: 2 days, 10:47:28 time: 0.5581 data_time: 0.0263 memory: 13723 grad_norm: 5.2136 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7731 loss: 2.7731 2022/08/08 16:47:42 - mmengine - INFO - Epoch(train) [1][1380/1879] lr: 2.0000e-03 eta: 2 days, 10:21:11 time: 0.5597 data_time: 0.0268 memory: 13723 grad_norm: 5.3027 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7357 loss: 2.7357 2022/08/08 16:47:54 - mmengine - INFO - Epoch(train) [1][1400/1879] lr: 2.0000e-03 eta: 2 days, 9:57:14 time: 0.5955 data_time: 0.0607 memory: 13723 grad_norm: 5.3536 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.8857 loss: 2.8857 2022/08/08 16:48:05 - mmengine - INFO - Epoch(train) [1][1420/1879] lr: 2.0000e-03 eta: 2 days, 9:32:29 time: 0.5618 data_time: 0.0242 memory: 13723 grad_norm: 5.3794 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.8017 loss: 2.8017 2022/08/08 16:48:16 - mmengine - INFO - Epoch(train) [1][1440/1879] lr: 2.0000e-03 eta: 2 days, 9:08:23 time: 0.5610 data_time: 0.0231 memory: 13723 grad_norm: 5.3529 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8097 loss: 2.8097 2022/08/08 16:48:27 - mmengine - INFO - Epoch(train) [1][1460/1879] lr: 2.0000e-03 eta: 2 days, 8:44:51 time: 0.5591 data_time: 0.0264 memory: 13723 grad_norm: 5.4421 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7208 loss: 2.7208 2022/08/08 16:48:38 - mmengine - INFO - Epoch(train) [1][1480/1879] lr: 2.0000e-03 eta: 2 days, 8:21:59 time: 0.5597 data_time: 0.0243 memory: 13723 grad_norm: 5.2737 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5870 loss: 2.5870 2022/08/08 16:48:50 - mmengine - INFO - Epoch(train) [1][1500/1879] lr: 2.0000e-03 eta: 2 days, 7:59:42 time: 0.5593 data_time: 0.0239 memory: 13723 grad_norm: 5.3209 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6526 loss: 2.6526 2022/08/08 16:49:01 - mmengine - INFO - Epoch(train) [1][1520/1879] lr: 2.0000e-03 eta: 2 days, 7:38:24 time: 0.5692 data_time: 0.0245 memory: 13723 grad_norm: 5.5104 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5121 loss: 2.5121 2022/08/08 16:49:12 - mmengine - INFO - Epoch(train) [1][1540/1879] lr: 2.0000e-03 eta: 2 days, 7:17:27 time: 0.5640 data_time: 0.0250 memory: 13723 grad_norm: 5.4123 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.6428 loss: 2.6428 2022/08/08 16:49:24 - mmengine - INFO - Epoch(train) [1][1560/1879] lr: 2.0000e-03 eta: 2 days, 6:56:57 time: 0.5622 data_time: 0.0231 memory: 13723 grad_norm: 5.5117 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8260 loss: 2.8260 2022/08/08 16:49:35 - mmengine - INFO - Epoch(train) [1][1580/1879] lr: 2.0000e-03 eta: 2 days, 6:37:01 time: 0.5634 data_time: 0.0212 memory: 13723 grad_norm: 5.3855 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6126 loss: 2.6126 2022/08/08 16:49:46 - mmengine - INFO - Epoch(train) [1][1600/1879] lr: 2.0000e-03 eta: 2 days, 6:17:55 time: 0.5725 data_time: 0.0225 memory: 13723 grad_norm: 5.4711 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.6794 loss: 2.6794 2022/08/08 16:50:02 - mmengine - INFO - Epoch(train) [1][1620/1879] lr: 2.0000e-03 eta: 2 days, 6:07:09 time: 0.7774 data_time: 0.0183 memory: 13723 grad_norm: 5.4391 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.5001 loss: 2.5001 2022/08/08 16:50:14 - mmengine - INFO - Epoch(train) [1][1640/1879] lr: 2.0000e-03 eta: 2 days, 5:50:05 time: 0.6042 data_time: 0.0508 memory: 13723 grad_norm: 5.5875 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.8036 loss: 2.8036 2022/08/08 16:50:27 - mmengine - INFO - Epoch(train) [1][1660/1879] lr: 2.0000e-03 eta: 2 days, 5:34:53 time: 0.6436 data_time: 0.0256 memory: 13723 grad_norm: 5.5924 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4477 loss: 2.4477 2022/08/08 16:50:39 - mmengine - INFO - Epoch(train) [1][1680/1879] lr: 2.0000e-03 eta: 2 days, 5:19:20 time: 0.6241 data_time: 0.0359 memory: 13723 grad_norm: 5.5230 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4642 loss: 2.4642 2022/08/08 16:50:55 - mmengine - INFO - Epoch(train) [1][1700/1879] lr: 2.0000e-03 eta: 2 days, 5:09:17 time: 0.7651 data_time: 0.0179 memory: 13723 grad_norm: 5.5173 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4811 loss: 2.4811 2022/08/08 16:51:08 - mmengine - INFO - Epoch(train) [1][1720/1879] lr: 2.0000e-03 eta: 2 days, 4:56:06 time: 0.6717 data_time: 0.0168 memory: 13723 grad_norm: 5.5584 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.7071 loss: 2.7071 2022/08/08 16:51:19 - mmengine - INFO - Epoch(train) [1][1740/1879] lr: 2.0000e-03 eta: 2 days, 4:39:18 time: 0.5621 data_time: 0.0192 memory: 13723 grad_norm: 5.6427 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5574 loss: 2.5574 2022/08/08 16:51:31 - mmengine - INFO - Epoch(train) [1][1760/1879] lr: 2.0000e-03 eta: 2 days, 4:23:14 time: 0.5723 data_time: 0.0256 memory: 13723 grad_norm: 5.6811 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6207 loss: 2.6207 2022/08/08 16:51:43 - mmengine - INFO - Epoch(train) [1][1780/1879] lr: 2.0000e-03 eta: 2 days, 4:09:12 time: 0.6199 data_time: 0.0184 memory: 13723 grad_norm: 5.5424 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.6497 loss: 2.6497 2022/08/08 16:51:55 - mmengine - INFO - Epoch(train) [1][1800/1879] lr: 2.0000e-03 eta: 2 days, 3:55:27 time: 0.6198 data_time: 0.0224 memory: 13723 grad_norm: 5.6031 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.6706 loss: 2.6706 2022/08/08 16:52:10 - mmengine - INFO - Epoch(train) [1][1820/1879] lr: 2.0000e-03 eta: 2 days, 3:45:48 time: 0.7311 data_time: 0.0169 memory: 13723 grad_norm: 5.5853 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.7490 loss: 2.7490 2022/08/08 16:52:22 - mmengine - INFO - Epoch(train) [1][1840/1879] lr: 2.0000e-03 eta: 2 days, 3:32:32 time: 0.6175 data_time: 0.0187 memory: 13723 grad_norm: 5.6142 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.6945 loss: 2.6945 2022/08/08 16:52:35 - mmengine - INFO - Epoch(train) [1][1860/1879] lr: 2.0000e-03 eta: 2 days, 3:19:27 time: 0.6149 data_time: 0.0208 memory: 13723 grad_norm: 5.6498 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4825 loss: 2.4825 2022/08/08 16:52:45 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 16:52:45 - mmengine - INFO - Epoch(train) [1][1879/1879] lr: 2.0000e-03 eta: 2 days, 3:19:27 time: 0.5674 data_time: 0.0163 memory: 13723 grad_norm: 5.7365 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.5806 loss: 2.5806 2022/08/08 17:04:53 - mmengine - INFO - Epoch(val) [1][20/155] eta: 1:21:48 time: 36.3623 data_time: 36.2153 memory: 1829 2022/08/08 17:05:00 - mmengine - INFO - Epoch(val) [1][40/155] eta: 0:00:44 time: 0.3906 data_time: 0.2537 memory: 1829 2022/08/08 17:05:12 - mmengine - INFO - Epoch(val) [1][60/155] eta: 0:00:56 time: 0.5951 data_time: 0.4573 memory: 1829 2022/08/08 17:05:20 - mmengine - INFO - Epoch(val) [1][80/155] eta: 0:00:30 time: 0.4066 data_time: 0.2703 memory: 1829 2022/08/08 17:05:31 - mmengine - INFO - Epoch(val) [1][100/155] eta: 0:00:28 time: 0.5192 data_time: 0.3815 memory: 1829 2022/08/08 17:05:41 - mmengine - INFO - Epoch(val) [1][120/155] eta: 0:00:17 time: 0.5038 data_time: 0.3669 memory: 1829 2022/08/08 17:05:53 - mmengine - INFO - Epoch(val) [1][140/155] eta: 0:00:08 time: 0.5862 data_time: 0.4475 memory: 1829 2022/08/08 17:06:16 - mmengine - INFO - Epoch(val) [1][155/155] acc/top1: 0.4469 acc/top5: 0.7234 acc/mean1: 0.4466 2022/08/08 17:06:17 - mmengine - INFO - The best checkpoint with 0.4469 acc/top1 at 2 epoch is saved to best_acc/top1_epoch_2.pth. 2022/08/08 17:06:33 - mmengine - INFO - Epoch(train) [2][20/1879] lr: 4.0000e-03 eta: 2 days, 2:41:25 time: 0.7913 data_time: 0.2462 memory: 13723 grad_norm: 5.7111 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4724 loss: 2.4724 2022/08/08 17:06:44 - mmengine - INFO - Epoch(train) [2][40/1879] lr: 4.0000e-03 eta: 2 days, 2:27:40 time: 0.5660 data_time: 0.0217 memory: 13723 grad_norm: 5.8675 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4921 loss: 2.4921 2022/08/08 17:06:56 - mmengine - INFO - Epoch(train) [2][60/1879] lr: 4.0000e-03 eta: 2 days, 2:14:19 time: 0.5694 data_time: 0.0228 memory: 13723 grad_norm: 5.8110 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5593 loss: 2.5593 2022/08/08 17:07:07 - mmengine - INFO - Epoch(train) [2][80/1879] lr: 4.0000e-03 eta: 2 days, 2:01:13 time: 0.5684 data_time: 0.0223 memory: 13723 grad_norm: 5.8542 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7492 loss: 2.7492 2022/08/08 17:07:21 - mmengine - INFO - Epoch(train) [2][100/1879] lr: 4.0000e-03 eta: 2 days, 1:51:59 time: 0.6843 data_time: 0.0179 memory: 13723 grad_norm: 5.8820 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.8125 loss: 2.8125 2022/08/08 17:07:33 - mmengine - INFO - Epoch(train) [2][120/1879] lr: 4.0000e-03 eta: 2 days, 1:40:59 time: 0.6210 data_time: 0.0215 memory: 13723 grad_norm: 5.9589 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5414 loss: 2.5414 2022/08/08 17:07:34 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 17:07:46 - mmengine - INFO - Epoch(train) [2][140/1879] lr: 4.0000e-03 eta: 2 days, 1:30:09 time: 0.6194 data_time: 0.0441 memory: 13723 grad_norm: 5.9344 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5432 loss: 2.5432 2022/08/08 17:07:58 - mmengine - INFO - Epoch(train) [2][160/1879] lr: 4.0000e-03 eta: 2 days, 1:19:31 time: 0.6195 data_time: 0.0335 memory: 13723 grad_norm: 5.9185 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6434 loss: 2.6434 2022/08/08 17:08:11 - mmengine - INFO - Epoch(train) [2][180/1879] lr: 4.0000e-03 eta: 2 days, 1:09:57 time: 0.6479 data_time: 0.0184 memory: 13723 grad_norm: 5.9355 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.6923 loss: 2.6923 2022/08/08 17:08:24 - mmengine - INFO - Epoch(train) [2][200/1879] lr: 4.0000e-03 eta: 2 days, 1:01:16 time: 0.6715 data_time: 0.0195 memory: 13723 grad_norm: 5.8770 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5746 loss: 2.5746 2022/08/08 17:08:39 - mmengine - INFO - Epoch(train) [2][220/1879] lr: 4.0000e-03 eta: 2 days, 0:54:00 time: 0.7143 data_time: 0.1731 memory: 13723 grad_norm: 5.8807 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3225 loss: 2.3225 2022/08/08 17:08:51 - mmengine - INFO - Epoch(train) [2][240/1879] lr: 4.0000e-03 eta: 2 days, 0:44:13 time: 0.6232 data_time: 0.0399 memory: 13723 grad_norm: 5.9031 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.4805 loss: 2.4805 2022/08/08 17:09:04 - mmengine - INFO - Epoch(train) [2][260/1879] lr: 4.0000e-03 eta: 2 days, 0:34:22 time: 0.6150 data_time: 0.0238 memory: 13723 grad_norm: 5.9175 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5298 loss: 2.5298 2022/08/08 17:09:15 - mmengine - INFO - Epoch(train) [2][280/1879] lr: 4.0000e-03 eta: 2 days, 0:23:39 time: 0.5789 data_time: 0.0204 memory: 13723 grad_norm: 5.9349 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.4604 loss: 2.4604 2022/08/08 17:09:27 - mmengine - INFO - Epoch(train) [2][300/1879] lr: 4.0000e-03 eta: 2 days, 0:12:59 time: 0.5733 data_time: 0.0198 memory: 13723 grad_norm: 5.9464 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4057 loss: 2.4057 2022/08/08 17:09:39 - mmengine - INFO - Epoch(train) [2][320/1879] lr: 4.0000e-03 eta: 2 days, 0:03:53 time: 0.6223 data_time: 0.0200 memory: 13723 grad_norm: 5.8110 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5785 loss: 2.5785 2022/08/08 17:09:53 - mmengine - INFO - Epoch(train) [2][340/1879] lr: 4.0000e-03 eta: 1 day, 23:57:16 time: 0.7060 data_time: 0.0196 memory: 13723 grad_norm: 5.8700 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4388 loss: 2.4388 2022/08/08 17:10:05 - mmengine - INFO - Epoch(train) [2][360/1879] lr: 4.0000e-03 eta: 1 day, 23:47:27 time: 0.5857 data_time: 0.0338 memory: 13723 grad_norm: 5.9491 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5929 loss: 2.5929 2022/08/08 17:10:18 - mmengine - INFO - Epoch(train) [2][380/1879] lr: 4.0000e-03 eta: 1 day, 23:39:05 time: 0.6328 data_time: 0.0824 memory: 13723 grad_norm: 5.9324 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5041 loss: 2.5041 2022/08/08 17:10:31 - mmengine - INFO - Epoch(train) [2][400/1879] lr: 4.0000e-03 eta: 1 day, 23:31:21 time: 0.6500 data_time: 0.1031 memory: 13723 grad_norm: 6.0230 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5180 loss: 2.5180 2022/08/08 17:10:44 - mmengine - INFO - Epoch(train) [2][420/1879] lr: 4.0000e-03 eta: 1 day, 23:23:43 time: 0.6499 data_time: 0.1061 memory: 13723 grad_norm: 6.0767 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5466 loss: 2.5466 2022/08/08 17:10:55 - mmengine - INFO - Epoch(train) [2][440/1879] lr: 4.0000e-03 eta: 1 day, 23:14:52 time: 0.5990 data_time: 0.0433 memory: 13723 grad_norm: 6.0215 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5995 loss: 2.5995 2022/08/08 17:11:07 - mmengine - INFO - Epoch(train) [2][460/1879] lr: 4.0000e-03 eta: 1 day, 23:06:00 time: 0.5927 data_time: 0.0483 memory: 13723 grad_norm: 6.0952 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.7322 loss: 2.7322 2022/08/08 17:11:20 - mmengine - INFO - Epoch(train) [2][480/1879] lr: 4.0000e-03 eta: 1 day, 22:57:50 time: 0.6139 data_time: 0.0529 memory: 13723 grad_norm: 6.0454 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4023 loss: 2.4023 2022/08/08 17:11:36 - mmengine - INFO - Epoch(train) [2][500/1879] lr: 4.0000e-03 eta: 1 day, 22:54:30 time: 0.7947 data_time: 0.1689 memory: 13723 grad_norm: 6.0959 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4475 loss: 2.4475 2022/08/08 17:11:48 - mmengine - INFO - Epoch(train) [2][520/1879] lr: 4.0000e-03 eta: 1 day, 22:46:11 time: 0.5991 data_time: 0.0491 memory: 13723 grad_norm: 5.9496 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4459 loss: 2.4459 2022/08/08 17:12:00 - mmengine - INFO - Epoch(train) [2][540/1879] lr: 4.0000e-03 eta: 1 day, 22:38:33 time: 0.6208 data_time: 0.0787 memory: 13723 grad_norm: 6.1730 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.5158 loss: 2.5158 2022/08/08 17:12:11 - mmengine - INFO - Epoch(train) [2][560/1879] lr: 4.0000e-03 eta: 1 day, 22:29:49 time: 0.5727 data_time: 0.0212 memory: 13723 grad_norm: 6.1928 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.4686 loss: 2.4686 2022/08/08 17:12:25 - mmengine - INFO - Epoch(train) [2][580/1879] lr: 4.0000e-03 eta: 1 day, 22:24:01 time: 0.6841 data_time: 0.1392 memory: 13723 grad_norm: 6.1937 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5918 loss: 2.5918 2022/08/08 17:12:37 - mmengine - INFO - Epoch(train) [2][600/1879] lr: 4.0000e-03 eta: 1 day, 22:15:33 time: 0.5731 data_time: 0.0198 memory: 13723 grad_norm: 6.1484 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.3959 loss: 2.3959 2022/08/08 17:12:49 - mmengine - INFO - Epoch(train) [2][620/1879] lr: 4.0000e-03 eta: 1 day, 22:08:59 time: 0.6445 data_time: 0.0211 memory: 13723 grad_norm: 6.0183 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.6133 loss: 2.6133 2022/08/08 17:13:01 - mmengine - INFO - Epoch(train) [2][640/1879] lr: 4.0000e-03 eta: 1 day, 22:00:36 time: 0.5666 data_time: 0.0192 memory: 13723 grad_norm: 6.0782 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.5069 loss: 2.5069 2022/08/08 17:13:14 - mmengine - INFO - Epoch(train) [2][660/1879] lr: 4.0000e-03 eta: 1 day, 21:54:29 time: 0.6543 data_time: 0.0237 memory: 13723 grad_norm: 6.1533 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3853 loss: 2.3853 2022/08/08 17:13:28 - mmengine - INFO - Epoch(train) [2][680/1879] lr: 4.0000e-03 eta: 1 day, 21:49:30 time: 0.6977 data_time: 0.0191 memory: 13723 grad_norm: 6.1308 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5538 loss: 2.5538 2022/08/08 17:13:43 - mmengine - INFO - Epoch(train) [2][700/1879] lr: 4.0000e-03 eta: 1 day, 21:46:10 time: 0.7633 data_time: 0.0185 memory: 13723 grad_norm: 6.0512 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4982 loss: 2.4982 2022/08/08 17:13:54 - mmengine - INFO - Epoch(train) [2][720/1879] lr: 4.0000e-03 eta: 1 day, 21:37:59 time: 0.5573 data_time: 0.0218 memory: 13723 grad_norm: 6.0856 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4461 loss: 2.4461 2022/08/08 17:14:06 - mmengine - INFO - Epoch(train) [2][740/1879] lr: 4.0000e-03 eta: 1 day, 21:30:38 time: 0.5875 data_time: 0.0207 memory: 13723 grad_norm: 6.3338 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5430 loss: 2.5430 2022/08/08 17:14:17 - mmengine - INFO - Epoch(train) [2][760/1879] lr: 4.0000e-03 eta: 1 day, 21:23:04 time: 0.5737 data_time: 0.0223 memory: 13723 grad_norm: 6.1131 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.4239 loss: 2.4239 2022/08/08 17:14:29 - mmengine - INFO - Epoch(train) [2][780/1879] lr: 4.0000e-03 eta: 1 day, 21:15:53 time: 0.5853 data_time: 0.0269 memory: 13723 grad_norm: 6.0844 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3704 loss: 2.3704 2022/08/08 17:14:42 - mmengine - INFO - Epoch(train) [2][800/1879] lr: 4.0000e-03 eta: 1 day, 21:09:58 time: 0.6357 data_time: 0.0189 memory: 13723 grad_norm: 6.1550 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4053 loss: 2.4053 2022/08/08 17:14:53 - mmengine - INFO - Epoch(train) [2][820/1879] lr: 4.0000e-03 eta: 1 day, 21:02:32 time: 0.5651 data_time: 0.0212 memory: 13723 grad_norm: 6.1908 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3309 loss: 2.3309 2022/08/08 17:15:05 - mmengine - INFO - Epoch(train) [2][840/1879] lr: 4.0000e-03 eta: 1 day, 20:56:20 time: 0.6152 data_time: 0.0649 memory: 13723 grad_norm: 6.1732 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2893 loss: 2.2893 2022/08/08 17:15:19 - mmengine - INFO - Epoch(train) [2][860/1879] lr: 4.0000e-03 eta: 1 day, 20:51:51 time: 0.6877 data_time: 0.1153 memory: 13723 grad_norm: 6.3044 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5074 loss: 2.5074 2022/08/08 17:15:31 - mmengine - INFO - Epoch(train) [2][880/1879] lr: 4.0000e-03 eta: 1 day, 20:44:44 time: 0.5676 data_time: 0.0221 memory: 13723 grad_norm: 6.0944 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2056 loss: 2.2056 2022/08/08 17:15:42 - mmengine - INFO - Epoch(train) [2][900/1879] lr: 4.0000e-03 eta: 1 day, 20:38:14 time: 0.5902 data_time: 0.0463 memory: 13723 grad_norm: 6.1389 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3089 loss: 2.3089 2022/08/08 17:15:54 - mmengine - INFO - Epoch(train) [2][920/1879] lr: 4.0000e-03 eta: 1 day, 20:31:22 time: 0.5695 data_time: 0.0189 memory: 13723 grad_norm: 6.1670 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2422 loss: 2.2422 2022/08/08 17:16:08 - mmengine - INFO - Epoch(train) [2][940/1879] lr: 4.0000e-03 eta: 1 day, 20:27:14 time: 0.6906 data_time: 0.1494 memory: 13723 grad_norm: 6.1889 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2892 loss: 2.2892 2022/08/08 17:16:19 - mmengine - INFO - Epoch(train) [2][960/1879] lr: 4.0000e-03 eta: 1 day, 20:20:23 time: 0.5628 data_time: 0.0168 memory: 13723 grad_norm: 6.3197 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6647 loss: 2.6647 2022/08/08 17:16:31 - mmengine - INFO - Epoch(train) [2][980/1879] lr: 4.0000e-03 eta: 1 day, 20:14:12 time: 0.5892 data_time: 0.0426 memory: 13723 grad_norm: 6.2054 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.3530 loss: 2.3530 2022/08/08 17:16:44 - mmengine - INFO - Epoch(train) [2][1000/1879] lr: 4.0000e-03 eta: 1 day, 20:09:45 time: 0.6661 data_time: 0.0160 memory: 13723 grad_norm: 6.1794 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2562 loss: 2.2562 2022/08/08 17:16:58 - mmengine - INFO - Epoch(train) [2][1020/1879] lr: 4.0000e-03 eta: 1 day, 20:06:33 time: 0.7221 data_time: 0.0184 memory: 13723 grad_norm: 6.3059 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4263 loss: 2.4263 2022/08/08 17:17:11 - mmengine - INFO - Epoch(train) [2][1040/1879] lr: 4.0000e-03 eta: 1 day, 20:01:01 time: 0.6099 data_time: 0.0191 memory: 13723 grad_norm: 6.2566 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.5275 loss: 2.5275 2022/08/08 17:17:25 - mmengine - INFO - Epoch(train) [2][1060/1879] lr: 4.0000e-03 eta: 1 day, 19:58:22 time: 0.7442 data_time: 0.0175 memory: 13723 grad_norm: 6.0432 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2306 loss: 2.2306 2022/08/08 17:17:38 - mmengine - INFO - Epoch(train) [2][1080/1879] lr: 4.0000e-03 eta: 1 day, 19:52:57 time: 0.6098 data_time: 0.0642 memory: 13723 grad_norm: 6.2355 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2783 loss: 2.2783 2022/08/08 17:17:50 - mmengine - INFO - Epoch(train) [2][1100/1879] lr: 4.0000e-03 eta: 1 day, 19:47:47 time: 0.6177 data_time: 0.0221 memory: 13723 grad_norm: 6.2576 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3516 loss: 2.3516 2022/08/08 17:18:03 - mmengine - INFO - Epoch(train) [2][1120/1879] lr: 4.0000e-03 eta: 1 day, 19:43:37 time: 0.6639 data_time: 0.0174 memory: 13723 grad_norm: 6.3520 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5027 loss: 2.5027 2022/08/08 17:18:04 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 17:18:15 - mmengine - INFO - Epoch(train) [2][1140/1879] lr: 4.0000e-03 eta: 1 day, 19:37:26 time: 0.5623 data_time: 0.0202 memory: 13723 grad_norm: 6.2214 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3587 loss: 2.3587 2022/08/08 17:18:26 - mmengine - INFO - Epoch(train) [2][1160/1879] lr: 4.0000e-03 eta: 1 day, 19:31:43 time: 0.5818 data_time: 0.0246 memory: 13723 grad_norm: 6.1789 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0412 loss: 2.0412 2022/08/08 17:18:38 - mmengine - INFO - Epoch(train) [2][1180/1879] lr: 4.0000e-03 eta: 1 day, 19:26:11 time: 0.5868 data_time: 0.0198 memory: 13723 grad_norm: 6.2693 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6901 loss: 2.6901 2022/08/08 17:18:49 - mmengine - INFO - Epoch(train) [2][1200/1879] lr: 4.0000e-03 eta: 1 day, 19:20:15 time: 0.5638 data_time: 0.0241 memory: 13723 grad_norm: 6.4152 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4781 loss: 2.4781 2022/08/08 17:19:01 - mmengine - INFO - Epoch(train) [2][1220/1879] lr: 4.0000e-03 eta: 1 day, 19:14:49 time: 0.5845 data_time: 0.0397 memory: 13723 grad_norm: 6.3604 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3859 loss: 2.3859 2022/08/08 17:19:12 - mmengine - INFO - Epoch(train) [2][1240/1879] lr: 4.0000e-03 eta: 1 day, 19:09:12 time: 0.5727 data_time: 0.0253 memory: 13723 grad_norm: 6.2396 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3410 loss: 2.3410 2022/08/08 17:19:26 - mmengine - INFO - Epoch(train) [2][1260/1879] lr: 4.0000e-03 eta: 1 day, 19:05:22 time: 0.6592 data_time: 0.0188 memory: 13723 grad_norm: 6.3803 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4645 loss: 2.4645 2022/08/08 17:19:37 - mmengine - INFO - Epoch(train) [2][1280/1879] lr: 4.0000e-03 eta: 1 day, 19:00:01 time: 0.5799 data_time: 0.0243 memory: 13723 grad_norm: 6.3198 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2272 loss: 2.2272 2022/08/08 17:19:50 - mmengine - INFO - Epoch(train) [2][1300/1879] lr: 4.0000e-03 eta: 1 day, 18:56:23 time: 0.6647 data_time: 0.0193 memory: 13723 grad_norm: 6.2887 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3176 loss: 2.3176 2022/08/08 17:20:02 - mmengine - INFO - Epoch(train) [2][1320/1879] lr: 4.0000e-03 eta: 1 day, 18:51:03 time: 0.5738 data_time: 0.0214 memory: 13723 grad_norm: 6.1016 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2562 loss: 2.2562 2022/08/08 17:20:20 - mmengine - INFO - Epoch(train) [2][1340/1879] lr: 4.0000e-03 eta: 1 day, 18:51:51 time: 0.8916 data_time: 0.0195 memory: 13723 grad_norm: 6.3153 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3872 loss: 2.3872 2022/08/08 17:20:31 - mmengine - INFO - Epoch(train) [2][1360/1879] lr: 4.0000e-03 eta: 1 day, 18:46:53 time: 0.5896 data_time: 0.0256 memory: 13723 grad_norm: 6.2558 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2190 loss: 2.2190 2022/08/08 17:20:46 - mmengine - INFO - Epoch(train) [2][1380/1879] lr: 4.0000e-03 eta: 1 day, 18:44:29 time: 0.7214 data_time: 0.0190 memory: 13723 grad_norm: 6.3052 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2023 loss: 2.2023 2022/08/08 17:20:58 - mmengine - INFO - Epoch(train) [2][1400/1879] lr: 4.0000e-03 eta: 1 day, 18:39:27 time: 0.5795 data_time: 0.0215 memory: 13723 grad_norm: 6.2612 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2557 loss: 2.2557 2022/08/08 17:21:09 - mmengine - INFO - Epoch(train) [2][1420/1879] lr: 4.0000e-03 eta: 1 day, 18:34:32 time: 0.5831 data_time: 0.0226 memory: 13723 grad_norm: 6.3139 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2612 loss: 2.2612 2022/08/08 17:21:21 - mmengine - INFO - Epoch(train) [2][1440/1879] lr: 4.0000e-03 eta: 1 day, 18:29:29 time: 0.5733 data_time: 0.0234 memory: 13723 grad_norm: 6.3232 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1999 loss: 2.1999 2022/08/08 17:21:32 - mmengine - INFO - Epoch(train) [2][1460/1879] lr: 4.0000e-03 eta: 1 day, 18:24:19 time: 0.5633 data_time: 0.0239 memory: 13723 grad_norm: 6.1177 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3394 loss: 2.3394 2022/08/08 17:21:43 - mmengine - INFO - Epoch(train) [2][1480/1879] lr: 4.0000e-03 eta: 1 day, 18:19:11 time: 0.5620 data_time: 0.0257 memory: 13723 grad_norm: 6.4184 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2671 loss: 2.2671 2022/08/08 17:21:54 - mmengine - INFO - Epoch(train) [2][1500/1879] lr: 4.0000e-03 eta: 1 day, 18:14:09 time: 0.5636 data_time: 0.0259 memory: 13723 grad_norm: 6.3135 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3432 loss: 2.3432 2022/08/08 17:22:06 - mmengine - INFO - Epoch(train) [2][1520/1879] lr: 4.0000e-03 eta: 1 day, 18:09:12 time: 0.5661 data_time: 0.0249 memory: 13723 grad_norm: 6.3662 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1961 loss: 2.1961 2022/08/08 17:22:17 - mmengine - INFO - Epoch(train) [2][1540/1879] lr: 4.0000e-03 eta: 1 day, 18:04:15 time: 0.5626 data_time: 0.0261 memory: 13723 grad_norm: 6.3394 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2838 loss: 2.2838 2022/08/08 17:22:28 - mmengine - INFO - Epoch(train) [2][1560/1879] lr: 4.0000e-03 eta: 1 day, 17:59:22 time: 0.5631 data_time: 0.0264 memory: 13723 grad_norm: 6.3821 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5196 loss: 2.5196 2022/08/08 17:22:39 - mmengine - INFO - Epoch(train) [2][1580/1879] lr: 4.0000e-03 eta: 1 day, 17:54:29 time: 0.5598 data_time: 0.0234 memory: 13723 grad_norm: 6.4046 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.2803 loss: 2.2803 2022/08/08 17:22:51 - mmengine - INFO - Epoch(train) [2][1600/1879] lr: 4.0000e-03 eta: 1 day, 17:49:40 time: 0.5608 data_time: 0.0241 memory: 13723 grad_norm: 6.3935 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1041 loss: 2.1041 2022/08/08 17:23:02 - mmengine - INFO - Epoch(train) [2][1620/1879] lr: 4.0000e-03 eta: 1 day, 17:45:07 time: 0.5731 data_time: 0.0246 memory: 13723 grad_norm: 6.2502 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3847 loss: 2.3847 2022/08/08 17:23:13 - mmengine - INFO - Epoch(train) [2][1640/1879] lr: 4.0000e-03 eta: 1 day, 17:40:30 time: 0.5668 data_time: 0.0275 memory: 13723 grad_norm: 6.2698 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1784 loss: 2.1784 2022/08/08 17:23:25 - mmengine - INFO - Epoch(train) [2][1660/1879] lr: 4.0000e-03 eta: 1 day, 17:35:53 time: 0.5635 data_time: 0.0240 memory: 13723 grad_norm: 6.3731 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4168 loss: 2.4168 2022/08/08 17:23:36 - mmengine - INFO - Epoch(train) [2][1680/1879] lr: 4.0000e-03 eta: 1 day, 17:31:17 time: 0.5611 data_time: 0.0236 memory: 13723 grad_norm: 6.4242 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4244 loss: 2.4244 2022/08/08 17:23:47 - mmengine - INFO - Epoch(train) [2][1700/1879] lr: 4.0000e-03 eta: 1 day, 17:26:40 time: 0.5581 data_time: 0.0236 memory: 13723 grad_norm: 6.1332 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1139 loss: 2.1139 2022/08/08 17:23:58 - mmengine - INFO - Epoch(train) [2][1720/1879] lr: 4.0000e-03 eta: 1 day, 17:22:13 time: 0.5644 data_time: 0.0262 memory: 13723 grad_norm: 6.3733 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3152 loss: 2.3152 2022/08/08 17:24:10 - mmengine - INFO - Epoch(train) [2][1740/1879] lr: 4.0000e-03 eta: 1 day, 17:17:44 time: 0.5593 data_time: 0.0233 memory: 13723 grad_norm: 6.3941 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1493 loss: 2.1493 2022/08/08 17:24:21 - mmengine - INFO - Epoch(train) [2][1760/1879] lr: 4.0000e-03 eta: 1 day, 17:13:15 time: 0.5570 data_time: 0.0243 memory: 13723 grad_norm: 6.2495 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2112 loss: 2.2112 2022/08/08 17:24:32 - mmengine - INFO - Epoch(train) [2][1780/1879] lr: 4.0000e-03 eta: 1 day, 17:08:52 time: 0.5610 data_time: 0.0258 memory: 13723 grad_norm: 6.3385 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.4026 loss: 2.4026 2022/08/08 17:24:43 - mmengine - INFO - Epoch(train) [2][1800/1879] lr: 4.0000e-03 eta: 1 day, 17:04:32 time: 0.5604 data_time: 0.0254 memory: 13723 grad_norm: 6.3206 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2807 loss: 2.2807 2022/08/08 17:24:55 - mmengine - INFO - Epoch(train) [2][1820/1879] lr: 4.0000e-03 eta: 1 day, 17:00:21 time: 0.5666 data_time: 0.0227 memory: 13723 grad_norm: 6.3986 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2871 loss: 2.2871 2022/08/08 17:25:06 - mmengine - INFO - Epoch(train) [2][1840/1879] lr: 4.0000e-03 eta: 1 day, 16:56:07 time: 0.5613 data_time: 0.0250 memory: 13723 grad_norm: 6.3856 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2701 loss: 2.2701 2022/08/08 17:25:17 - mmengine - INFO - Epoch(train) [2][1860/1879] lr: 4.0000e-03 eta: 1 day, 16:52:00 time: 0.5651 data_time: 0.0252 memory: 13723 grad_norm: 6.4478 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.3312 loss: 2.3312 2022/08/08 17:25:27 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 17:25:27 - mmengine - INFO - Epoch(train) [2][1879/1879] lr: 4.0000e-03 eta: 1 day, 16:52:00 time: 0.5331 data_time: 0.0177 memory: 13723 grad_norm: 6.4788 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.3874 loss: 2.3874 2022/08/08 17:25:40 - mmengine - INFO - Epoch(val) [2][20/155] eta: 0:01:26 time: 0.6400 data_time: 0.4994 memory: 1829 2022/08/08 17:25:49 - mmengine - INFO - Epoch(val) [2][40/155] eta: 0:00:53 time: 0.4666 data_time: 0.3259 memory: 1829 2022/08/08 17:26:01 - mmengine - INFO - Epoch(val) [2][60/155] eta: 0:00:55 time: 0.5807 data_time: 0.4412 memory: 1829 2022/08/08 17:26:10 - mmengine - INFO - Epoch(val) [2][80/155] eta: 0:00:34 time: 0.4664 data_time: 0.3280 memory: 1829 2022/08/08 17:26:23 - mmengine - INFO - Epoch(val) [2][100/155] eta: 0:00:34 time: 0.6268 data_time: 0.4762 memory: 1829 2022/08/08 17:26:32 - mmengine - INFO - Epoch(val) [2][120/155] eta: 0:00:15 time: 0.4481 data_time: 0.3093 memory: 1829 2022/08/08 17:26:46 - mmengine - INFO - Epoch(val) [2][140/155] eta: 0:00:10 time: 0.6950 data_time: 0.5561 memory: 1829 2022/08/08 17:26:53 - mmengine - INFO - Epoch(val) [2][155/155] acc/top1: 0.5127 acc/top5: 0.7751 acc/mean1: 0.5124 2022/08/08 17:26:53 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_2.pth is removed 2022/08/08 17:26:55 - mmengine - INFO - The best checkpoint with 0.5127 acc/top1 at 3 epoch is saved to best_acc/top1_epoch_3.pth. 2022/08/08 17:27:10 - mmengine - INFO - Epoch(train) [3][20/1879] lr: 6.0000e-03 eta: 1 day, 16:38:52 time: 0.7814 data_time: 0.2282 memory: 13723 grad_norm: 6.5017 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4376 loss: 2.4376 2022/08/08 17:27:21 - mmengine - INFO - Epoch(train) [3][40/1879] lr: 6.0000e-03 eta: 1 day, 16:34:54 time: 0.5658 data_time: 0.0229 memory: 13723 grad_norm: 6.5743 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2965 loss: 2.2965 2022/08/08 17:27:33 - mmengine - INFO - Epoch(train) [3][60/1879] lr: 6.0000e-03 eta: 1 day, 16:31:13 time: 0.5808 data_time: 0.0245 memory: 13723 grad_norm: 6.4526 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3971 loss: 2.3971 2022/08/08 17:27:45 - mmengine - INFO - Epoch(train) [3][80/1879] lr: 6.0000e-03 eta: 1 day, 16:27:25 time: 0.5714 data_time: 0.0315 memory: 13723 grad_norm: 6.4146 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4431 loss: 2.4431 2022/08/08 17:27:56 - mmengine - INFO - Epoch(train) [3][100/1879] lr: 6.0000e-03 eta: 1 day, 16:23:50 time: 0.5828 data_time: 0.0397 memory: 13723 grad_norm: 6.3682 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 2.3398 loss: 2.3398 2022/08/08 17:28:08 - mmengine - INFO - Epoch(train) [3][120/1879] lr: 6.0000e-03 eta: 1 day, 16:20:03 time: 0.5678 data_time: 0.0245 memory: 13723 grad_norm: 6.5884 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3995 loss: 2.3995 2022/08/08 17:28:19 - mmengine - INFO - Epoch(train) [3][140/1879] lr: 6.0000e-03 eta: 1 day, 16:16:10 time: 0.5585 data_time: 0.0239 memory: 13723 grad_norm: 6.5208 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2818 loss: 2.2818 2022/08/08 17:28:30 - mmengine - INFO - Epoch(train) [3][160/1879] lr: 6.0000e-03 eta: 1 day, 16:12:27 time: 0.5667 data_time: 0.0222 memory: 13723 grad_norm: 6.4673 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4424 loss: 2.4424 2022/08/08 17:28:41 - mmengine - INFO - Epoch(train) [3][180/1879] lr: 6.0000e-03 eta: 1 day, 16:08:39 time: 0.5601 data_time: 0.0257 memory: 13723 grad_norm: 6.5726 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1795 loss: 2.1795 2022/08/08 17:28:53 - mmengine - INFO - Epoch(train) [3][200/1879] lr: 6.0000e-03 eta: 1 day, 16:04:57 time: 0.5640 data_time: 0.0246 memory: 13723 grad_norm: 6.5619 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3818 loss: 2.3818 2022/08/08 17:29:04 - mmengine - INFO - Epoch(train) [3][220/1879] lr: 6.0000e-03 eta: 1 day, 16:01:19 time: 0.5655 data_time: 0.0278 memory: 13723 grad_norm: 6.4348 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1960 loss: 2.1960 2022/08/08 17:29:15 - mmengine - INFO - Epoch(train) [3][240/1879] lr: 6.0000e-03 eta: 1 day, 15:57:37 time: 0.5586 data_time: 0.0228 memory: 13723 grad_norm: 6.4982 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2713 loss: 2.2713 2022/08/08 17:29:16 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 17:29:26 - mmengine - INFO - Epoch(train) [3][260/1879] lr: 6.0000e-03 eta: 1 day, 15:53:58 time: 0.5603 data_time: 0.0236 memory: 13723 grad_norm: 6.3464 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2302 loss: 2.2302 2022/08/08 17:29:37 - mmengine - INFO - Epoch(train) [3][280/1879] lr: 6.0000e-03 eta: 1 day, 15:50:21 time: 0.5598 data_time: 0.0238 memory: 13723 grad_norm: 6.4367 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.2707 loss: 2.2707 2022/08/08 17:29:49 - mmengine - INFO - Epoch(train) [3][300/1879] lr: 6.0000e-03 eta: 1 day, 15:46:47 time: 0.5616 data_time: 0.0258 memory: 13723 grad_norm: 6.5248 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2298 loss: 2.2298 2022/08/08 17:30:00 - mmengine - INFO - Epoch(train) [3][320/1879] lr: 6.0000e-03 eta: 1 day, 15:43:43 time: 0.5918 data_time: 0.0611 memory: 13723 grad_norm: 6.4945 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0602 loss: 2.0602 2022/08/08 17:30:12 - mmengine - INFO - Epoch(train) [3][340/1879] lr: 6.0000e-03 eta: 1 day, 15:40:37 time: 0.5879 data_time: 0.0219 memory: 13723 grad_norm: 6.6731 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2669 loss: 2.2669 2022/08/08 17:30:25 - mmengine - INFO - Epoch(train) [3][360/1879] lr: 6.0000e-03 eta: 1 day, 15:38:03 time: 0.6229 data_time: 0.0711 memory: 13723 grad_norm: 6.4846 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2882 loss: 2.2882 2022/08/08 17:30:37 - mmengine - INFO - Epoch(train) [3][380/1879] lr: 6.0000e-03 eta: 1 day, 15:35:15 time: 0.6042 data_time: 0.0558 memory: 13723 grad_norm: 6.5303 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3078 loss: 2.3078 2022/08/08 17:30:48 - mmengine - INFO - Epoch(train) [3][400/1879] lr: 6.0000e-03 eta: 1 day, 15:32:05 time: 0.5779 data_time: 0.0263 memory: 13723 grad_norm: 6.4938 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.4640 loss: 2.4640 2022/08/08 17:31:00 - mmengine - INFO - Epoch(train) [3][420/1879] lr: 6.0000e-03 eta: 1 day, 15:28:57 time: 0.5792 data_time: 0.0250 memory: 13723 grad_norm: 6.2257 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2181 loss: 2.2181 2022/08/08 17:31:12 - mmengine - INFO - Epoch(train) [3][440/1879] lr: 6.0000e-03 eta: 1 day, 15:25:55 time: 0.5827 data_time: 0.0233 memory: 13723 grad_norm: 6.5108 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5954 loss: 2.5954 2022/08/08 17:31:23 - mmengine - INFO - Epoch(train) [3][460/1879] lr: 6.0000e-03 eta: 1 day, 15:22:41 time: 0.5674 data_time: 0.0253 memory: 13723 grad_norm: 6.4712 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1977 loss: 2.1977 2022/08/08 17:31:34 - mmengine - INFO - Epoch(train) [3][480/1879] lr: 6.0000e-03 eta: 1 day, 15:19:24 time: 0.5625 data_time: 0.0230 memory: 13723 grad_norm: 6.6030 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3706 loss: 2.3706 2022/08/08 17:31:46 - mmengine - INFO - Epoch(train) [3][500/1879] lr: 6.0000e-03 eta: 1 day, 15:16:14 time: 0.5688 data_time: 0.0243 memory: 13723 grad_norm: 6.3442 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.3541 loss: 2.3541 2022/08/08 17:31:57 - mmengine - INFO - Epoch(train) [3][520/1879] lr: 6.0000e-03 eta: 1 day, 15:12:57 time: 0.5582 data_time: 0.0240 memory: 13723 grad_norm: 6.4492 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3591 loss: 2.3591 2022/08/08 17:32:08 - mmengine - INFO - Epoch(train) [3][540/1879] lr: 6.0000e-03 eta: 1 day, 15:09:50 time: 0.5686 data_time: 0.0249 memory: 13723 grad_norm: 6.3302 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2687 loss: 2.2687 2022/08/08 17:32:19 - mmengine - INFO - Epoch(train) [3][560/1879] lr: 6.0000e-03 eta: 1 day, 15:06:37 time: 0.5582 data_time: 0.0255 memory: 13723 grad_norm: 6.5376 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.3773 loss: 2.3773 2022/08/08 17:32:31 - mmengine - INFO - Epoch(train) [3][580/1879] lr: 6.0000e-03 eta: 1 day, 15:03:35 time: 0.5708 data_time: 0.0267 memory: 13723 grad_norm: 6.3597 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1396 loss: 2.1396 2022/08/08 17:32:42 - mmengine - INFO - Epoch(train) [3][600/1879] lr: 6.0000e-03 eta: 1 day, 15:00:25 time: 0.5576 data_time: 0.0238 memory: 13723 grad_norm: 6.3121 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2840 loss: 2.2840 2022/08/08 17:32:53 - mmengine - INFO - Epoch(train) [3][620/1879] lr: 6.0000e-03 eta: 1 day, 14:57:21 time: 0.5639 data_time: 0.0246 memory: 13723 grad_norm: 6.4114 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.4012 loss: 2.4012 2022/08/08 17:33:04 - mmengine - INFO - Epoch(train) [3][640/1879] lr: 6.0000e-03 eta: 1 day, 14:54:12 time: 0.5567 data_time: 0.0220 memory: 13723 grad_norm: 6.3331 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3976 loss: 2.3976 2022/08/08 17:33:15 - mmengine - INFO - Epoch(train) [3][660/1879] lr: 6.0000e-03 eta: 1 day, 14:51:10 time: 0.5617 data_time: 0.0250 memory: 13723 grad_norm: 6.5317 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3180 loss: 2.3180 2022/08/08 17:33:27 - mmengine - INFO - Epoch(train) [3][680/1879] lr: 6.0000e-03 eta: 1 day, 14:48:06 time: 0.5588 data_time: 0.0259 memory: 13723 grad_norm: 6.3930 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.4369 loss: 2.4369 2022/08/08 17:33:38 - mmengine - INFO - Epoch(train) [3][700/1879] lr: 6.0000e-03 eta: 1 day, 14:45:07 time: 0.5623 data_time: 0.0243 memory: 13723 grad_norm: 6.3224 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2339 loss: 2.2339 2022/08/08 17:33:49 - mmengine - INFO - Epoch(train) [3][720/1879] lr: 6.0000e-03 eta: 1 day, 14:42:12 time: 0.5657 data_time: 0.0253 memory: 13723 grad_norm: 6.5027 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.3484 loss: 2.3484 2022/08/08 17:34:01 - mmengine - INFO - Epoch(train) [3][740/1879] lr: 6.0000e-03 eta: 1 day, 14:39:18 time: 0.5642 data_time: 0.0222 memory: 13723 grad_norm: 6.5205 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2785 loss: 2.2785 2022/08/08 17:34:12 - mmengine - INFO - Epoch(train) [3][760/1879] lr: 6.0000e-03 eta: 1 day, 14:36:23 time: 0.5624 data_time: 0.0254 memory: 13723 grad_norm: 6.5481 top1_acc: 0.1250 top5_acc: 0.6875 loss_cls: 2.1723 loss: 2.1723 2022/08/08 17:34:23 - mmengine - INFO - Epoch(train) [3][780/1879] lr: 6.0000e-03 eta: 1 day, 14:33:32 time: 0.5655 data_time: 0.0252 memory: 13723 grad_norm: 6.3379 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3245 loss: 2.3245 2022/08/08 17:34:34 - mmengine - INFO - Epoch(train) [3][800/1879] lr: 6.0000e-03 eta: 1 day, 14:30:40 time: 0.5617 data_time: 0.0237 memory: 13723 grad_norm: 6.3683 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.4552 loss: 2.4552 2022/08/08 17:34:46 - mmengine - INFO - Epoch(train) [3][820/1879] lr: 6.0000e-03 eta: 1 day, 14:27:52 time: 0.5646 data_time: 0.0246 memory: 13723 grad_norm: 6.4796 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3596 loss: 2.3596 2022/08/08 17:34:57 - mmengine - INFO - Epoch(train) [3][840/1879] lr: 6.0000e-03 eta: 1 day, 14:25:11 time: 0.5725 data_time: 0.0237 memory: 13723 grad_norm: 6.2755 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1941 loss: 2.1941 2022/08/08 17:35:08 - mmengine - INFO - Epoch(train) [3][860/1879] lr: 6.0000e-03 eta: 1 day, 14:22:23 time: 0.5625 data_time: 0.0201 memory: 13723 grad_norm: 6.4582 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.3049 loss: 2.3049 2022/08/08 17:35:20 - mmengine - INFO - Epoch(train) [3][880/1879] lr: 6.0000e-03 eta: 1 day, 14:19:52 time: 0.5818 data_time: 0.0300 memory: 13723 grad_norm: 6.4818 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.3624 loss: 2.3624 2022/08/08 17:35:32 - mmengine - INFO - Epoch(train) [3][900/1879] lr: 6.0000e-03 eta: 1 day, 14:17:35 time: 0.5979 data_time: 0.0252 memory: 13723 grad_norm: 6.4549 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2243 loss: 2.2243 2022/08/08 17:35:44 - mmengine - INFO - Epoch(train) [3][920/1879] lr: 6.0000e-03 eta: 1 day, 14:15:25 time: 0.6052 data_time: 0.0249 memory: 13723 grad_norm: 6.4102 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5471 loss: 2.5471 2022/08/08 17:35:56 - mmengine - INFO - Epoch(train) [3][940/1879] lr: 6.0000e-03 eta: 1 day, 14:12:59 time: 0.5842 data_time: 0.0241 memory: 13723 grad_norm: 6.3875 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.3322 loss: 2.3322 2022/08/08 17:36:07 - mmengine - INFO - Epoch(train) [3][960/1879] lr: 6.0000e-03 eta: 1 day, 14:10:28 time: 0.5754 data_time: 0.0221 memory: 13723 grad_norm: 6.5061 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2368 loss: 2.2368 2022/08/08 17:36:18 - mmengine - INFO - Epoch(train) [3][980/1879] lr: 6.0000e-03 eta: 1 day, 14:07:50 time: 0.5650 data_time: 0.0241 memory: 13723 grad_norm: 6.3949 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3901 loss: 2.3901 2022/08/08 17:36:30 - mmengine - INFO - Epoch(train) [3][1000/1879] lr: 6.0000e-03 eta: 1 day, 14:05:13 time: 0.5661 data_time: 0.0217 memory: 13723 grad_norm: 6.1664 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2272 loss: 2.2272 2022/08/08 17:36:41 - mmengine - INFO - Epoch(train) [3][1020/1879] lr: 6.0000e-03 eta: 1 day, 14:02:43 time: 0.5714 data_time: 0.0233 memory: 13723 grad_norm: 6.3615 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.1831 loss: 2.1831 2022/08/08 17:36:53 - mmengine - INFO - Epoch(train) [3][1040/1879] lr: 6.0000e-03 eta: 1 day, 14:00:17 time: 0.5763 data_time: 0.0224 memory: 13723 grad_norm: 6.5036 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1624 loss: 2.1624 2022/08/08 17:37:05 - mmengine - INFO - Epoch(train) [3][1060/1879] lr: 6.0000e-03 eta: 1 day, 13:58:03 time: 0.5907 data_time: 0.0228 memory: 13723 grad_norm: 6.4571 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3452 loss: 2.3452 2022/08/08 17:37:18 - mmengine - INFO - Epoch(train) [3][1080/1879] lr: 6.0000e-03 eta: 1 day, 13:57:06 time: 0.6906 data_time: 0.0177 memory: 13723 grad_norm: 6.3889 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2720 loss: 2.2720 2022/08/08 17:37:34 - mmengine - INFO - Epoch(train) [3][1100/1879] lr: 6.0000e-03 eta: 1 day, 13:57:08 time: 0.7700 data_time: 0.0212 memory: 13723 grad_norm: 6.4649 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4145 loss: 2.4145 2022/08/08 17:37:46 - mmengine - INFO - Epoch(train) [3][1120/1879] lr: 6.0000e-03 eta: 1 day, 13:55:12 time: 0.6115 data_time: 0.0177 memory: 13723 grad_norm: 6.3469 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2885 loss: 2.2885 2022/08/08 17:37:58 - mmengine - INFO - Epoch(train) [3][1140/1879] lr: 6.0000e-03 eta: 1 day, 13:52:59 time: 0.5870 data_time: 0.0229 memory: 13723 grad_norm: 6.2779 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3448 loss: 2.3448 2022/08/08 17:38:09 - mmengine - INFO - Epoch(train) [3][1160/1879] lr: 6.0000e-03 eta: 1 day, 13:50:25 time: 0.5582 data_time: 0.0226 memory: 13723 grad_norm: 6.3606 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.3483 loss: 2.3483 2022/08/08 17:38:20 - mmengine - INFO - Epoch(train) [3][1180/1879] lr: 6.0000e-03 eta: 1 day, 13:47:54 time: 0.5609 data_time: 0.0242 memory: 13723 grad_norm: 6.4208 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1468 loss: 2.1468 2022/08/08 17:38:31 - mmengine - INFO - Epoch(train) [3][1200/1879] lr: 6.0000e-03 eta: 1 day, 13:45:23 time: 0.5596 data_time: 0.0244 memory: 13723 grad_norm: 6.4839 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1254 loss: 2.1254 2022/08/08 17:38:42 - mmengine - INFO - Epoch(train) [3][1220/1879] lr: 6.0000e-03 eta: 1 day, 13:42:52 time: 0.5575 data_time: 0.0230 memory: 13723 grad_norm: 6.4386 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4552 loss: 2.4552 2022/08/08 17:38:54 - mmengine - INFO - Epoch(train) [3][1240/1879] lr: 6.0000e-03 eta: 1 day, 13:40:24 time: 0.5602 data_time: 0.0238 memory: 13723 grad_norm: 6.5082 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1036 loss: 2.1036 2022/08/08 17:38:55 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 17:39:05 - mmengine - INFO - Epoch(train) [3][1260/1879] lr: 6.0000e-03 eta: 1 day, 13:38:04 time: 0.5695 data_time: 0.0383 memory: 13723 grad_norm: 6.2991 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.5035 loss: 2.5035 2022/08/08 17:39:16 - mmengine - INFO - Epoch(train) [3][1280/1879] lr: 6.0000e-03 eta: 1 day, 13:35:33 time: 0.5545 data_time: 0.0233 memory: 13723 grad_norm: 6.2442 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2986 loss: 2.2986 2022/08/08 17:39:28 - mmengine - INFO - Epoch(train) [3][1300/1879] lr: 6.0000e-03 eta: 1 day, 13:33:14 time: 0.5674 data_time: 0.0237 memory: 13723 grad_norm: 6.3347 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1410 loss: 2.1410 2022/08/08 17:39:39 - mmengine - INFO - Epoch(train) [3][1320/1879] lr: 6.0000e-03 eta: 1 day, 13:30:45 time: 0.5534 data_time: 0.0205 memory: 13723 grad_norm: 6.2879 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3352 loss: 2.3352 2022/08/08 17:39:54 - mmengine - INFO - Epoch(train) [3][1340/1879] lr: 6.0000e-03 eta: 1 day, 13:30:44 time: 0.7583 data_time: 0.0211 memory: 13723 grad_norm: 6.2384 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3057 loss: 2.3057 2022/08/08 17:40:05 - mmengine - INFO - Epoch(train) [3][1360/1879] lr: 6.0000e-03 eta: 1 day, 13:28:36 time: 0.5796 data_time: 0.0163 memory: 13723 grad_norm: 6.3204 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2320 loss: 2.2320 2022/08/08 17:40:19 - mmengine - INFO - Epoch(train) [3][1380/1879] lr: 6.0000e-03 eta: 1 day, 13:27:44 time: 0.6855 data_time: 0.0897 memory: 13723 grad_norm: 6.3753 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3662 loss: 2.3662 2022/08/08 17:40:31 - mmengine - INFO - Epoch(train) [3][1400/1879] lr: 6.0000e-03 eta: 1 day, 13:25:44 time: 0.5903 data_time: 0.0239 memory: 13723 grad_norm: 6.3820 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3036 loss: 2.3036 2022/08/08 17:40:42 - mmengine - INFO - Epoch(train) [3][1420/1879] lr: 6.0000e-03 eta: 1 day, 13:23:37 time: 0.5773 data_time: 0.0239 memory: 13723 grad_norm: 6.4735 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2466 loss: 2.2466 2022/08/08 17:40:54 - mmengine - INFO - Epoch(train) [3][1440/1879] lr: 6.0000e-03 eta: 1 day, 13:21:23 time: 0.5672 data_time: 0.0238 memory: 13723 grad_norm: 6.2688 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4995 loss: 2.4995 2022/08/08 17:41:05 - mmengine - INFO - Epoch(train) [3][1460/1879] lr: 6.0000e-03 eta: 1 day, 13:19:08 time: 0.5650 data_time: 0.0218 memory: 13723 grad_norm: 6.3008 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1676 loss: 2.1676 2022/08/08 17:41:16 - mmengine - INFO - Epoch(train) [3][1480/1879] lr: 6.0000e-03 eta: 1 day, 13:16:55 time: 0.5653 data_time: 0.0238 memory: 13723 grad_norm: 6.4342 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3387 loss: 2.3387 2022/08/08 17:41:28 - mmengine - INFO - Epoch(train) [3][1500/1879] lr: 6.0000e-03 eta: 1 day, 13:14:41 time: 0.5635 data_time: 0.0240 memory: 13723 grad_norm: 6.3499 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2111 loss: 2.2111 2022/08/08 17:41:39 - mmengine - INFO - Epoch(train) [3][1520/1879] lr: 6.0000e-03 eta: 1 day, 13:12:28 time: 0.5627 data_time: 0.0214 memory: 13723 grad_norm: 6.4018 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2212 loss: 2.2212 2022/08/08 17:41:50 - mmengine - INFO - Epoch(train) [3][1540/1879] lr: 6.0000e-03 eta: 1 day, 13:10:26 time: 0.5780 data_time: 0.0447 memory: 13723 grad_norm: 6.4004 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9437 loss: 1.9437 2022/08/08 17:42:02 - mmengine - INFO - Epoch(train) [3][1560/1879] lr: 6.0000e-03 eta: 1 day, 13:08:13 time: 0.5608 data_time: 0.0217 memory: 13723 grad_norm: 6.5809 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3265 loss: 2.3265 2022/08/08 17:42:13 - mmengine - INFO - Epoch(train) [3][1580/1879] lr: 6.0000e-03 eta: 1 day, 13:06:03 time: 0.5632 data_time: 0.0243 memory: 13723 grad_norm: 6.3039 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.2135 loss: 2.2135 2022/08/08 17:42:24 - mmengine - INFO - Epoch(train) [3][1600/1879] lr: 6.0000e-03 eta: 1 day, 13:03:51 time: 0.5585 data_time: 0.0225 memory: 13723 grad_norm: 6.4565 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.2719 loss: 2.2719 2022/08/08 17:42:35 - mmengine - INFO - Epoch(train) [3][1620/1879] lr: 6.0000e-03 eta: 1 day, 13:01:39 time: 0.5592 data_time: 0.0249 memory: 13723 grad_norm: 6.2532 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1240 loss: 2.1240 2022/08/08 17:42:47 - mmengine - INFO - Epoch(train) [3][1640/1879] lr: 6.0000e-03 eta: 1 day, 12:59:38 time: 0.5724 data_time: 0.0239 memory: 13723 grad_norm: 6.3054 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5075 loss: 2.5075 2022/08/08 17:42:58 - mmengine - INFO - Epoch(train) [3][1660/1879] lr: 6.0000e-03 eta: 1 day, 12:57:42 time: 0.5790 data_time: 0.0417 memory: 13723 grad_norm: 6.3076 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1289 loss: 2.1289 2022/08/08 17:43:10 - mmengine - INFO - Epoch(train) [3][1680/1879] lr: 6.0000e-03 eta: 1 day, 12:55:34 time: 0.5601 data_time: 0.0238 memory: 13723 grad_norm: 6.3787 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.1973 loss: 2.1973 2022/08/08 17:43:21 - mmengine - INFO - Epoch(train) [3][1700/1879] lr: 6.0000e-03 eta: 1 day, 12:53:26 time: 0.5591 data_time: 0.0235 memory: 13723 grad_norm: 6.4120 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1551 loss: 2.1551 2022/08/08 17:43:32 - mmengine - INFO - Epoch(train) [3][1720/1879] lr: 6.0000e-03 eta: 1 day, 12:51:20 time: 0.5607 data_time: 0.0254 memory: 13723 grad_norm: 6.4028 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1746 loss: 2.1746 2022/08/08 17:43:43 - mmengine - INFO - Epoch(train) [3][1740/1879] lr: 6.0000e-03 eta: 1 day, 12:49:13 time: 0.5585 data_time: 0.0237 memory: 13723 grad_norm: 6.3204 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.4160 loss: 2.4160 2022/08/08 17:43:54 - mmengine - INFO - Epoch(train) [3][1760/1879] lr: 6.0000e-03 eta: 1 day, 12:47:11 time: 0.5638 data_time: 0.0262 memory: 13723 grad_norm: 6.2925 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.3443 loss: 2.3443 2022/08/08 17:44:06 - mmengine - INFO - Epoch(train) [3][1780/1879] lr: 6.0000e-03 eta: 1 day, 12:45:10 time: 0.5638 data_time: 0.0243 memory: 13723 grad_norm: 6.2207 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9574 loss: 1.9574 2022/08/08 17:44:17 - mmengine - INFO - Epoch(train) [3][1800/1879] lr: 6.0000e-03 eta: 1 day, 12:43:08 time: 0.5626 data_time: 0.0242 memory: 13723 grad_norm: 6.2503 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1953 loss: 2.1953 2022/08/08 17:44:28 - mmengine - INFO - Epoch(train) [3][1820/1879] lr: 6.0000e-03 eta: 1 day, 12:41:07 time: 0.5618 data_time: 0.0242 memory: 13723 grad_norm: 6.1496 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1636 loss: 2.1636 2022/08/08 17:44:39 - mmengine - INFO - Epoch(train) [3][1840/1879] lr: 6.0000e-03 eta: 1 day, 12:39:05 time: 0.5589 data_time: 0.0215 memory: 13723 grad_norm: 6.3560 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1402 loss: 2.1402 2022/08/08 17:44:51 - mmengine - INFO - Epoch(train) [3][1860/1879] lr: 6.0000e-03 eta: 1 day, 12:37:05 time: 0.5607 data_time: 0.0251 memory: 13723 grad_norm: 6.4325 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1393 loss: 2.1393 2022/08/08 17:45:01 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 17:45:01 - mmengine - INFO - Epoch(train) [3][1879/1879] lr: 6.0000e-03 eta: 1 day, 12:37:05 time: 0.5279 data_time: 0.0165 memory: 13723 grad_norm: 6.4513 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.1396 loss: 2.1396 2022/08/08 17:45:01 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/08/08 17:45:22 - mmengine - INFO - Epoch(val) [3][20/155] eta: 0:02:10 time: 0.9660 data_time: 0.8269 memory: 1829 2022/08/08 17:45:31 - mmengine - INFO - Epoch(val) [3][40/155] eta: 0:00:54 time: 0.4714 data_time: 0.3320 memory: 1829 2022/08/08 17:45:43 - mmengine - INFO - Epoch(val) [3][60/155] eta: 0:00:54 time: 0.5770 data_time: 0.4384 memory: 1829 2022/08/08 17:45:53 - mmengine - INFO - Epoch(val) [3][80/155] eta: 0:00:37 time: 0.4964 data_time: 0.3578 memory: 1829 2022/08/08 17:46:04 - mmengine - INFO - Epoch(val) [3][100/155] eta: 0:00:30 time: 0.5621 data_time: 0.4228 memory: 1829 2022/08/08 17:46:14 - mmengine - INFO - Epoch(val) [3][120/155] eta: 0:00:16 time: 0.4714 data_time: 0.3331 memory: 1829 2022/08/08 17:46:26 - mmengine - INFO - Epoch(val) [3][140/155] eta: 0:00:09 time: 0.6290 data_time: 0.4906 memory: 1829 2022/08/08 17:46:34 - mmengine - INFO - Epoch(val) [3][155/155] acc/top1: 0.5132 acc/top5: 0.7760 acc/mean1: 0.5131 2022/08/08 17:46:34 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_3.pth is removed 2022/08/08 17:46:35 - mmengine - INFO - The best checkpoint with 0.5132 acc/top1 at 4 epoch is saved to best_acc/top1_epoch_4.pth. 2022/08/08 17:46:50 - mmengine - INFO - Epoch(train) [4][20/1879] lr: 8.0000e-03 eta: 1 day, 12:29:46 time: 0.7728 data_time: 0.2235 memory: 13723 grad_norm: 6.3040 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2701 loss: 2.2701 2022/08/08 17:47:02 - mmengine - INFO - Epoch(train) [4][40/1879] lr: 8.0000e-03 eta: 1 day, 12:28:03 time: 0.5835 data_time: 0.0368 memory: 13723 grad_norm: 6.2989 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1701 loss: 2.1701 2022/08/08 17:47:13 - mmengine - INFO - Epoch(train) [4][60/1879] lr: 8.0000e-03 eta: 1 day, 12:26:12 time: 0.5690 data_time: 0.0258 memory: 13723 grad_norm: 6.3222 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1456 loss: 2.1456 2022/08/08 17:47:25 - mmengine - INFO - Epoch(train) [4][80/1879] lr: 8.0000e-03 eta: 1 day, 12:24:33 time: 0.5878 data_time: 0.0497 memory: 13723 grad_norm: 6.4247 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0184 loss: 2.0184 2022/08/08 17:47:36 - mmengine - INFO - Epoch(train) [4][100/1879] lr: 8.0000e-03 eta: 1 day, 12:22:37 time: 0.5594 data_time: 0.0234 memory: 13723 grad_norm: 6.4905 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3468 loss: 2.3468 2022/08/08 17:47:48 - mmengine - INFO - Epoch(train) [4][120/1879] lr: 8.0000e-03 eta: 1 day, 12:20:54 time: 0.5784 data_time: 0.0468 memory: 13723 grad_norm: 6.1835 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2980 loss: 2.2980 2022/08/08 17:48:00 - mmengine - INFO - Epoch(train) [4][140/1879] lr: 8.0000e-03 eta: 1 day, 12:19:16 time: 0.5862 data_time: 0.0266 memory: 13723 grad_norm: 6.3371 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.4384 loss: 2.4384 2022/08/08 17:48:11 - mmengine - INFO - Epoch(train) [4][160/1879] lr: 8.0000e-03 eta: 1 day, 12:17:26 time: 0.5646 data_time: 0.0273 memory: 13723 grad_norm: 6.3009 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3395 loss: 2.3395 2022/08/08 17:48:22 - mmengine - INFO - Epoch(train) [4][180/1879] lr: 8.0000e-03 eta: 1 day, 12:15:35 time: 0.5641 data_time: 0.0241 memory: 13723 grad_norm: 6.3693 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2671 loss: 2.2671 2022/08/08 17:48:33 - mmengine - INFO - Epoch(train) [4][200/1879] lr: 8.0000e-03 eta: 1 day, 12:13:45 time: 0.5629 data_time: 0.0243 memory: 13723 grad_norm: 6.1801 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2430 loss: 2.2430 2022/08/08 17:48:45 - mmengine - INFO - Epoch(train) [4][220/1879] lr: 8.0000e-03 eta: 1 day, 12:11:54 time: 0.5615 data_time: 0.0260 memory: 13723 grad_norm: 6.3120 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0677 loss: 2.0677 2022/08/08 17:48:56 - mmengine - INFO - Epoch(train) [4][240/1879] lr: 8.0000e-03 eta: 1 day, 12:10:05 time: 0.5621 data_time: 0.0232 memory: 13723 grad_norm: 6.4999 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.1217 loss: 2.1217 2022/08/08 17:49:07 - mmengine - INFO - Epoch(train) [4][260/1879] lr: 8.0000e-03 eta: 1 day, 12:08:16 time: 0.5628 data_time: 0.0252 memory: 13723 grad_norm: 6.5058 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.1670 loss: 2.1670 2022/08/08 17:49:19 - mmengine - INFO - Epoch(train) [4][280/1879] lr: 8.0000e-03 eta: 1 day, 12:06:30 time: 0.5654 data_time: 0.0257 memory: 13723 grad_norm: 6.4348 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1789 loss: 2.1789 2022/08/08 17:49:30 - mmengine - INFO - Epoch(train) [4][300/1879] lr: 8.0000e-03 eta: 1 day, 12:04:39 time: 0.5560 data_time: 0.0227 memory: 13723 grad_norm: 6.2369 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1927 loss: 2.1927 2022/08/08 17:49:41 - mmengine - INFO - Epoch(train) [4][320/1879] lr: 8.0000e-03 eta: 1 day, 12:02:51 time: 0.5602 data_time: 0.0230 memory: 13723 grad_norm: 6.2927 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2179 loss: 2.2179 2022/08/08 17:49:52 - mmengine - INFO - Epoch(train) [4][340/1879] lr: 8.0000e-03 eta: 1 day, 12:01:04 time: 0.5618 data_time: 0.0235 memory: 13723 grad_norm: 6.2103 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.4630 loss: 2.4630 2022/08/08 17:50:03 - mmengine - INFO - Epoch(train) [4][360/1879] lr: 8.0000e-03 eta: 1 day, 11:59:16 time: 0.5574 data_time: 0.0238 memory: 13723 grad_norm: 6.2446 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3794 loss: 2.3794 2022/08/08 17:50:05 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 17:50:15 - mmengine - INFO - Epoch(train) [4][380/1879] lr: 8.0000e-03 eta: 1 day, 11:57:48 time: 0.5908 data_time: 0.0319 memory: 13723 grad_norm: 6.2748 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1307 loss: 2.1307 2022/08/08 17:50:28 - mmengine - INFO - Epoch(train) [4][400/1879] lr: 8.0000e-03 eta: 1 day, 11:57:05 time: 0.6645 data_time: 0.0251 memory: 13723 grad_norm: 6.1869 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3377 loss: 2.3377 2022/08/08 17:50:40 - mmengine - INFO - Epoch(train) [4][420/1879] lr: 8.0000e-03 eta: 1 day, 11:55:46 time: 0.6033 data_time: 0.0196 memory: 13723 grad_norm: 6.3777 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1334 loss: 2.1334 2022/08/08 17:50:52 - mmengine - INFO - Epoch(train) [4][440/1879] lr: 8.0000e-03 eta: 1 day, 11:54:07 time: 0.5690 data_time: 0.0240 memory: 13723 grad_norm: 6.3633 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1924 loss: 2.1924 2022/08/08 17:51:03 - mmengine - INFO - Epoch(train) [4][460/1879] lr: 8.0000e-03 eta: 1 day, 11:52:26 time: 0.5662 data_time: 0.0211 memory: 13723 grad_norm: 6.2442 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2539 loss: 2.2539 2022/08/08 17:51:14 - mmengine - INFO - Epoch(train) [4][480/1879] lr: 8.0000e-03 eta: 1 day, 11:50:44 time: 0.5633 data_time: 0.0249 memory: 13723 grad_norm: 6.2027 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1028 loss: 2.1028 2022/08/08 17:51:26 - mmengine - INFO - Epoch(train) [4][500/1879] lr: 8.0000e-03 eta: 1 day, 11:49:12 time: 0.5785 data_time: 0.0458 memory: 13723 grad_norm: 6.2273 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3819 loss: 2.3819 2022/08/08 17:51:37 - mmengine - INFO - Epoch(train) [4][520/1879] lr: 8.0000e-03 eta: 1 day, 11:47:31 time: 0.5617 data_time: 0.0239 memory: 13723 grad_norm: 6.1668 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3748 loss: 2.3748 2022/08/08 17:51:48 - mmengine - INFO - Epoch(train) [4][540/1879] lr: 8.0000e-03 eta: 1 day, 11:45:50 time: 0.5619 data_time: 0.0261 memory: 13723 grad_norm: 6.2131 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.3640 loss: 2.3640 2022/08/08 17:52:00 - mmengine - INFO - Epoch(train) [4][560/1879] lr: 8.0000e-03 eta: 1 day, 11:44:08 time: 0.5587 data_time: 0.0224 memory: 13723 grad_norm: 6.1860 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2707 loss: 2.2707 2022/08/08 17:52:11 - mmengine - INFO - Epoch(train) [4][580/1879] lr: 8.0000e-03 eta: 1 day, 11:42:27 time: 0.5590 data_time: 0.0236 memory: 13723 grad_norm: 6.3830 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1110 loss: 2.1110 2022/08/08 17:52:22 - mmengine - INFO - Epoch(train) [4][600/1879] lr: 8.0000e-03 eta: 1 day, 11:40:47 time: 0.5596 data_time: 0.0225 memory: 13723 grad_norm: 6.2391 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1789 loss: 2.1789 2022/08/08 17:52:33 - mmengine - INFO - Epoch(train) [4][620/1879] lr: 8.0000e-03 eta: 1 day, 11:39:11 time: 0.5672 data_time: 0.0249 memory: 13723 grad_norm: 6.2327 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3499 loss: 2.3499 2022/08/08 17:52:45 - mmengine - INFO - Epoch(train) [4][640/1879] lr: 8.0000e-03 eta: 1 day, 11:37:35 time: 0.5649 data_time: 0.0227 memory: 13723 grad_norm: 6.3380 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3197 loss: 2.3197 2022/08/08 17:52:56 - mmengine - INFO - Epoch(train) [4][660/1879] lr: 8.0000e-03 eta: 1 day, 11:35:59 time: 0.5634 data_time: 0.0230 memory: 13723 grad_norm: 6.3199 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2936 loss: 2.2936 2022/08/08 17:53:07 - mmengine - INFO - Epoch(train) [4][680/1879] lr: 8.0000e-03 eta: 1 day, 11:34:25 time: 0.5674 data_time: 0.0227 memory: 13723 grad_norm: 6.2486 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2912 loss: 2.2912 2022/08/08 17:53:19 - mmengine - INFO - Epoch(train) [4][700/1879] lr: 8.0000e-03 eta: 1 day, 11:33:02 time: 0.5849 data_time: 0.0290 memory: 13723 grad_norm: 6.3161 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.2258 loss: 2.2258 2022/08/08 17:53:30 - mmengine - INFO - Epoch(train) [4][720/1879] lr: 8.0000e-03 eta: 1 day, 11:31:22 time: 0.5549 data_time: 0.0216 memory: 13723 grad_norm: 6.1580 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0472 loss: 2.0472 2022/08/08 17:53:42 - mmengine - INFO - Epoch(train) [4][740/1879] lr: 8.0000e-03 eta: 1 day, 11:30:00 time: 0.5845 data_time: 0.0527 memory: 13723 grad_norm: 6.1241 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.3239 loss: 2.3239 2022/08/08 17:53:53 - mmengine - INFO - Epoch(train) [4][760/1879] lr: 8.0000e-03 eta: 1 day, 11:28:24 time: 0.5592 data_time: 0.0232 memory: 13723 grad_norm: 6.1538 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2112 loss: 2.2112 2022/08/08 17:54:04 - mmengine - INFO - Epoch(train) [4][780/1879] lr: 8.0000e-03 eta: 1 day, 11:26:51 time: 0.5650 data_time: 0.0249 memory: 13723 grad_norm: 6.1667 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1985 loss: 2.1985 2022/08/08 17:54:15 - mmengine - INFO - Epoch(train) [4][800/1879] lr: 8.0000e-03 eta: 1 day, 11:25:17 time: 0.5605 data_time: 0.0244 memory: 13723 grad_norm: 6.1115 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0708 loss: 2.0708 2022/08/08 17:54:27 - mmengine - INFO - Epoch(train) [4][820/1879] lr: 8.0000e-03 eta: 1 day, 11:23:43 time: 0.5613 data_time: 0.0250 memory: 13723 grad_norm: 6.2457 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2074 loss: 2.2074 2022/08/08 17:54:38 - mmengine - INFO - Epoch(train) [4][840/1879] lr: 8.0000e-03 eta: 1 day, 11:22:13 time: 0.5658 data_time: 0.0244 memory: 13723 grad_norm: 6.3698 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3415 loss: 2.3415 2022/08/08 17:54:49 - mmengine - INFO - Epoch(train) [4][860/1879] lr: 8.0000e-03 eta: 1 day, 11:20:41 time: 0.5625 data_time: 0.0264 memory: 13723 grad_norm: 6.2704 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0716 loss: 2.0716 2022/08/08 17:55:00 - mmengine - INFO - Epoch(train) [4][880/1879] lr: 8.0000e-03 eta: 1 day, 11:19:07 time: 0.5571 data_time: 0.0243 memory: 13723 grad_norm: 6.1180 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0494 loss: 2.0494 2022/08/08 17:55:15 - mmengine - INFO - Epoch(train) [4][900/1879] lr: 8.0000e-03 eta: 1 day, 11:18:59 time: 0.7125 data_time: 0.0215 memory: 13723 grad_norm: 6.2753 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1340 loss: 2.1340 2022/08/08 17:55:26 - mmengine - INFO - Epoch(train) [4][920/1879] lr: 8.0000e-03 eta: 1 day, 11:17:33 time: 0.5713 data_time: 0.0266 memory: 13723 grad_norm: 6.2663 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.2512 loss: 2.2512 2022/08/08 17:55:38 - mmengine - INFO - Epoch(train) [4][940/1879] lr: 8.0000e-03 eta: 1 day, 11:16:15 time: 0.5850 data_time: 0.0294 memory: 13723 grad_norm: 6.1083 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2509 loss: 2.2509 2022/08/08 17:55:50 - mmengine - INFO - Epoch(train) [4][960/1879] lr: 8.0000e-03 eta: 1 day, 11:15:02 time: 0.5915 data_time: 0.0274 memory: 13723 grad_norm: 6.0874 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3099 loss: 2.3099 2022/08/08 17:56:01 - mmengine - INFO - Epoch(train) [4][980/1879] lr: 8.0000e-03 eta: 1 day, 11:13:46 time: 0.5878 data_time: 0.0240 memory: 13723 grad_norm: 6.0470 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1060 loss: 2.1060 2022/08/08 17:56:13 - mmengine - INFO - Epoch(train) [4][1000/1879] lr: 8.0000e-03 eta: 1 day, 11:12:21 time: 0.5691 data_time: 0.0231 memory: 13723 grad_norm: 6.1459 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2067 loss: 2.2067 2022/08/08 17:56:24 - mmengine - INFO - Epoch(train) [4][1020/1879] lr: 8.0000e-03 eta: 1 day, 11:10:52 time: 0.5611 data_time: 0.0228 memory: 13723 grad_norm: 6.1867 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0939 loss: 2.0939 2022/08/08 17:56:35 - mmengine - INFO - Epoch(train) [4][1040/1879] lr: 8.0000e-03 eta: 1 day, 11:09:24 time: 0.5638 data_time: 0.0242 memory: 13723 grad_norm: 6.0993 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2496 loss: 2.2496 2022/08/08 17:56:46 - mmengine - INFO - Epoch(train) [4][1060/1879] lr: 8.0000e-03 eta: 1 day, 11:07:54 time: 0.5568 data_time: 0.0241 memory: 13723 grad_norm: 6.0321 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9931 loss: 1.9931 2022/08/08 17:56:58 - mmengine - INFO - Epoch(train) [4][1080/1879] lr: 8.0000e-03 eta: 1 day, 11:06:29 time: 0.5676 data_time: 0.0237 memory: 13723 grad_norm: 5.9597 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1764 loss: 2.1764 2022/08/08 17:57:09 - mmengine - INFO - Epoch(train) [4][1100/1879] lr: 8.0000e-03 eta: 1 day, 11:05:03 time: 0.5620 data_time: 0.0269 memory: 13723 grad_norm: 6.1594 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1961 loss: 2.1961 2022/08/08 17:57:20 - mmengine - INFO - Epoch(train) [4][1120/1879] lr: 8.0000e-03 eta: 1 day, 11:03:38 time: 0.5656 data_time: 0.0242 memory: 13723 grad_norm: 6.0960 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1711 loss: 2.1711 2022/08/08 17:57:32 - mmengine - INFO - Epoch(train) [4][1140/1879] lr: 8.0000e-03 eta: 1 day, 11:02:13 time: 0.5628 data_time: 0.0263 memory: 13723 grad_norm: 6.1125 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1121 loss: 2.1121 2022/08/08 17:57:43 - mmengine - INFO - Epoch(train) [4][1160/1879] lr: 8.0000e-03 eta: 1 day, 11:00:45 time: 0.5589 data_time: 0.0230 memory: 13723 grad_norm: 6.1187 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5416 loss: 2.5416 2022/08/08 17:57:54 - mmengine - INFO - Epoch(train) [4][1180/1879] lr: 8.0000e-03 eta: 1 day, 10:59:35 time: 0.5898 data_time: 0.0232 memory: 13723 grad_norm: 6.0271 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0775 loss: 2.0775 2022/08/08 17:58:06 - mmengine - INFO - Epoch(train) [4][1200/1879] lr: 8.0000e-03 eta: 1 day, 10:58:10 time: 0.5617 data_time: 0.0220 memory: 13723 grad_norm: 6.1591 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0314 loss: 2.0314 2022/08/08 17:58:17 - mmengine - INFO - Epoch(train) [4][1220/1879] lr: 8.0000e-03 eta: 1 day, 10:56:47 time: 0.5641 data_time: 0.0248 memory: 13723 grad_norm: 6.1575 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4097 loss: 2.4097 2022/08/08 17:58:28 - mmengine - INFO - Epoch(train) [4][1240/1879] lr: 8.0000e-03 eta: 1 day, 10:55:24 time: 0.5644 data_time: 0.0230 memory: 13723 grad_norm: 6.0900 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3367 loss: 2.3367 2022/08/08 17:58:40 - mmengine - INFO - Epoch(train) [4][1260/1879] lr: 8.0000e-03 eta: 1 day, 10:54:02 time: 0.5639 data_time: 0.0238 memory: 13723 grad_norm: 6.1150 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2059 loss: 2.2059 2022/08/08 17:58:51 - mmengine - INFO - Epoch(train) [4][1280/1879] lr: 8.0000e-03 eta: 1 day, 10:52:38 time: 0.5611 data_time: 0.0252 memory: 13723 grad_norm: 5.9445 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3368 loss: 2.3368 2022/08/08 17:59:02 - mmengine - INFO - Epoch(train) [4][1300/1879] lr: 8.0000e-03 eta: 1 day, 10:51:16 time: 0.5625 data_time: 0.0250 memory: 13723 grad_norm: 6.1704 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0915 loss: 2.0915 2022/08/08 17:59:13 - mmengine - INFO - Epoch(train) [4][1320/1879] lr: 8.0000e-03 eta: 1 day, 10:49:52 time: 0.5589 data_time: 0.0243 memory: 13723 grad_norm: 6.0082 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2090 loss: 2.2090 2022/08/08 17:59:24 - mmengine - INFO - Epoch(train) [4][1340/1879] lr: 8.0000e-03 eta: 1 day, 10:48:29 time: 0.5592 data_time: 0.0239 memory: 13723 grad_norm: 5.9939 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2784 loss: 2.2784 2022/08/08 17:59:36 - mmengine - INFO - Epoch(train) [4][1360/1879] lr: 8.0000e-03 eta: 1 day, 10:47:07 time: 0.5598 data_time: 0.0231 memory: 13723 grad_norm: 6.1403 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1689 loss: 2.1689 2022/08/08 17:59:37 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 17:59:47 - mmengine - INFO - Epoch(train) [4][1380/1879] lr: 8.0000e-03 eta: 1 day, 10:45:47 time: 0.5640 data_time: 0.0233 memory: 13723 grad_norm: 5.9951 top1_acc: 0.4375 top5_acc: 1.0000 loss_cls: 2.3783 loss: 2.3783 2022/08/08 17:59:58 - mmengine - INFO - Epoch(train) [4][1400/1879] lr: 8.0000e-03 eta: 1 day, 10:44:30 time: 0.5705 data_time: 0.0219 memory: 13723 grad_norm: 6.1222 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3040 loss: 2.3040 2022/08/08 18:00:16 - mmengine - INFO - Epoch(train) [4][1420/1879] lr: 8.0000e-03 eta: 1 day, 10:45:54 time: 0.8815 data_time: 0.0259 memory: 13723 grad_norm: 5.9562 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2132 loss: 2.2132 2022/08/08 18:00:31 - mmengine - INFO - Epoch(train) [4][1440/1879] lr: 8.0000e-03 eta: 1 day, 10:46:19 time: 0.7679 data_time: 0.0247 memory: 13723 grad_norm: 5.9499 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2334 loss: 2.2334 2022/08/08 18:00:43 - mmengine - INFO - Epoch(train) [4][1460/1879] lr: 8.0000e-03 eta: 1 day, 10:45:01 time: 0.5665 data_time: 0.0215 memory: 13723 grad_norm: 5.9737 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1901 loss: 2.1901 2022/08/08 18:00:55 - mmengine - INFO - Epoch(train) [4][1480/1879] lr: 8.0000e-03 eta: 1 day, 10:44:04 time: 0.6069 data_time: 0.0203 memory: 13723 grad_norm: 6.1326 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1142 loss: 2.1142 2022/08/08 18:01:06 - mmengine - INFO - Epoch(train) [4][1500/1879] lr: 8.0000e-03 eta: 1 day, 10:42:52 time: 0.5766 data_time: 0.0227 memory: 13723 grad_norm: 6.1064 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.3568 loss: 2.3568 2022/08/08 18:01:18 - mmengine - INFO - Epoch(train) [4][1520/1879] lr: 8.0000e-03 eta: 1 day, 10:41:41 time: 0.5783 data_time: 0.0258 memory: 13723 grad_norm: 6.0464 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3031 loss: 2.3031 2022/08/08 18:01:29 - mmengine - INFO - Epoch(train) [4][1540/1879] lr: 8.0000e-03 eta: 1 day, 10:40:28 time: 0.5732 data_time: 0.0227 memory: 13723 grad_norm: 5.8986 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9296 loss: 1.9296 2022/08/08 18:01:41 - mmengine - INFO - Epoch(train) [4][1560/1879] lr: 8.0000e-03 eta: 1 day, 10:39:29 time: 0.6025 data_time: 0.0227 memory: 13723 grad_norm: 5.9965 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2172 loss: 2.2172 2022/08/08 18:01:53 - mmengine - INFO - Epoch(train) [4][1580/1879] lr: 8.0000e-03 eta: 1 day, 10:38:19 time: 0.5773 data_time: 0.0219 memory: 13723 grad_norm: 6.0788 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1904 loss: 2.1904 2022/08/08 18:02:04 - mmengine - INFO - Epoch(train) [4][1600/1879] lr: 8.0000e-03 eta: 1 day, 10:37:09 time: 0.5775 data_time: 0.0212 memory: 13723 grad_norm: 5.9132 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.1974 loss: 2.1974 2022/08/08 18:02:18 - mmengine - INFO - Epoch(train) [4][1620/1879] lr: 8.0000e-03 eta: 1 day, 10:36:59 time: 0.6969 data_time: 0.0206 memory: 13723 grad_norm: 6.0072 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2094 loss: 2.2094 2022/08/08 18:02:30 - mmengine - INFO - Epoch(train) [4][1640/1879] lr: 8.0000e-03 eta: 1 day, 10:35:46 time: 0.5707 data_time: 0.0224 memory: 13723 grad_norm: 5.7603 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0644 loss: 2.0644 2022/08/08 18:02:41 - mmengine - INFO - Epoch(train) [4][1660/1879] lr: 8.0000e-03 eta: 1 day, 10:34:36 time: 0.5774 data_time: 0.0208 memory: 13723 grad_norm: 6.0209 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2448 loss: 2.2448 2022/08/08 18:02:53 - mmengine - INFO - Epoch(train) [4][1680/1879] lr: 8.0000e-03 eta: 1 day, 10:33:26 time: 0.5737 data_time: 0.0212 memory: 13723 grad_norm: 6.0564 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4073 loss: 2.4073 2022/08/08 18:03:06 - mmengine - INFO - Epoch(train) [4][1700/1879] lr: 8.0000e-03 eta: 1 day, 10:32:46 time: 0.6356 data_time: 0.0757 memory: 13723 grad_norm: 5.9732 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0450 loss: 2.0450 2022/08/08 18:03:19 - mmengine - INFO - Epoch(train) [4][1720/1879] lr: 8.0000e-03 eta: 1 day, 10:32:16 time: 0.6568 data_time: 0.0218 memory: 13723 grad_norm: 5.8750 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2582 loss: 2.2582 2022/08/08 18:03:31 - mmengine - INFO - Epoch(train) [4][1740/1879] lr: 8.0000e-03 eta: 1 day, 10:31:17 time: 0.5961 data_time: 0.0455 memory: 13723 grad_norm: 6.0090 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.3318 loss: 2.3318 2022/08/08 18:03:42 - mmengine - INFO - Epoch(train) [4][1760/1879] lr: 8.0000e-03 eta: 1 day, 10:30:05 time: 0.5701 data_time: 0.0208 memory: 13723 grad_norm: 5.9526 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3026 loss: 2.3026 2022/08/08 18:03:53 - mmengine - INFO - Epoch(train) [4][1780/1879] lr: 8.0000e-03 eta: 1 day, 10:28:55 time: 0.5711 data_time: 0.0228 memory: 13723 grad_norm: 5.9255 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9891 loss: 1.9891 2022/08/08 18:04:05 - mmengine - INFO - Epoch(train) [4][1800/1879] lr: 8.0000e-03 eta: 1 day, 10:27:45 time: 0.5723 data_time: 0.0247 memory: 13723 grad_norm: 5.9085 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2941 loss: 2.2941 2022/08/08 18:04:16 - mmengine - INFO - Epoch(train) [4][1820/1879] lr: 8.0000e-03 eta: 1 day, 10:26:31 time: 0.5633 data_time: 0.0230 memory: 13723 grad_norm: 6.0829 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1248 loss: 2.1248 2022/08/08 18:04:27 - mmengine - INFO - Epoch(train) [4][1840/1879] lr: 8.0000e-03 eta: 1 day, 10:25:16 time: 0.5601 data_time: 0.0243 memory: 13723 grad_norm: 5.9150 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0003 loss: 2.0003 2022/08/08 18:04:39 - mmengine - INFO - Epoch(train) [4][1860/1879] lr: 8.0000e-03 eta: 1 day, 10:24:03 time: 0.5639 data_time: 0.0276 memory: 13723 grad_norm: 5.9925 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9577 loss: 1.9577 2022/08/08 18:04:49 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 18:04:49 - mmengine - INFO - Epoch(train) [4][1879/1879] lr: 8.0000e-03 eta: 1 day, 10:24:03 time: 0.5299 data_time: 0.0166 memory: 13723 grad_norm: 5.9702 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 1.9648 loss: 1.9648 2022/08/08 18:05:02 - mmengine - INFO - Epoch(val) [4][20/155] eta: 0:01:29 time: 0.6607 data_time: 0.5209 memory: 1829 2022/08/08 18:05:12 - mmengine - INFO - Epoch(val) [4][40/155] eta: 0:00:56 time: 0.4893 data_time: 0.3519 memory: 1829 2022/08/08 18:05:24 - mmengine - INFO - Epoch(val) [4][60/155] eta: 0:00:59 time: 0.6276 data_time: 0.4883 memory: 1829 2022/08/08 18:05:34 - mmengine - INFO - Epoch(val) [4][80/155] eta: 0:00:35 time: 0.4738 data_time: 0.3349 memory: 1829 2022/08/08 18:05:46 - mmengine - INFO - Epoch(val) [4][100/155] eta: 0:00:33 time: 0.6092 data_time: 0.4697 memory: 1829 2022/08/08 18:05:55 - mmengine - INFO - Epoch(val) [4][120/155] eta: 0:00:15 time: 0.4465 data_time: 0.3075 memory: 1829 2022/08/08 18:06:07 - mmengine - INFO - Epoch(val) [4][140/155] eta: 0:00:08 time: 0.5987 data_time: 0.4596 memory: 1829 2022/08/08 18:06:17 - mmengine - INFO - Epoch(val) [4][155/155] acc/top1: 0.5264 acc/top5: 0.7791 acc/mean1: 0.5262 2022/08/08 18:06:17 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_4.pth is removed 2022/08/08 18:06:18 - mmengine - INFO - The best checkpoint with 0.5264 acc/top1 at 5 epoch is saved to best_acc/top1_epoch_5.pth. 2022/08/08 18:06:34 - mmengine - INFO - Epoch(train) [5][20/1879] lr: 1.0000e-02 eta: 1 day, 10:19:17 time: 0.7976 data_time: 0.2076 memory: 13723 grad_norm: 6.0336 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9159 loss: 1.9159 2022/08/08 18:06:45 - mmengine - INFO - Epoch(train) [5][40/1879] lr: 1.0000e-02 eta: 1 day, 10:18:12 time: 0.5769 data_time: 0.0223 memory: 13723 grad_norm: 5.9722 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0007 loss: 2.0007 2022/08/08 18:06:57 - mmengine - INFO - Epoch(train) [5][60/1879] lr: 1.0000e-02 eta: 1 day, 10:17:05 time: 0.5720 data_time: 0.0259 memory: 13723 grad_norm: 5.9713 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9944 loss: 1.9944 2022/08/08 18:07:08 - mmengine - INFO - Epoch(train) [5][80/1879] lr: 1.0000e-02 eta: 1 day, 10:15:57 time: 0.5702 data_time: 0.0205 memory: 13723 grad_norm: 6.0238 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0590 loss: 2.0590 2022/08/08 18:07:20 - mmengine - INFO - Epoch(train) [5][100/1879] lr: 1.0000e-02 eta: 1 day, 10:14:47 time: 0.5665 data_time: 0.0258 memory: 13723 grad_norm: 6.0925 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1823 loss: 2.1823 2022/08/08 18:07:31 - mmengine - INFO - Epoch(train) [5][120/1879] lr: 1.0000e-02 eta: 1 day, 10:13:41 time: 0.5719 data_time: 0.0237 memory: 13723 grad_norm: 6.0760 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3037 loss: 2.3037 2022/08/08 18:07:42 - mmengine - INFO - Epoch(train) [5][140/1879] lr: 1.0000e-02 eta: 1 day, 10:12:34 time: 0.5711 data_time: 0.0242 memory: 13723 grad_norm: 6.1301 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5216 loss: 2.5216 2022/08/08 18:07:54 - mmengine - INFO - Epoch(train) [5][160/1879] lr: 1.0000e-02 eta: 1 day, 10:11:32 time: 0.5806 data_time: 0.0238 memory: 13723 grad_norm: 6.0194 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1859 loss: 2.1859 2022/08/08 18:08:05 - mmengine - INFO - Epoch(train) [5][180/1879] lr: 1.0000e-02 eta: 1 day, 10:10:26 time: 0.5706 data_time: 0.0261 memory: 13723 grad_norm: 6.0572 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2423 loss: 2.2423 2022/08/08 18:08:17 - mmengine - INFO - Epoch(train) [5][200/1879] lr: 1.0000e-02 eta: 1 day, 10:09:16 time: 0.5618 data_time: 0.0253 memory: 13723 grad_norm: 5.9318 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1094 loss: 2.1094 2022/08/08 18:08:28 - mmengine - INFO - Epoch(train) [5][220/1879] lr: 1.0000e-02 eta: 1 day, 10:08:06 time: 0.5611 data_time: 0.0261 memory: 13723 grad_norm: 5.9233 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1406 loss: 2.1406 2022/08/08 18:08:39 - mmengine - INFO - Epoch(train) [5][240/1879] lr: 1.0000e-02 eta: 1 day, 10:07:02 time: 0.5738 data_time: 0.0273 memory: 13723 grad_norm: 5.7174 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1966 loss: 2.1966 2022/08/08 18:08:51 - mmengine - INFO - Epoch(train) [5][260/1879] lr: 1.0000e-02 eta: 1 day, 10:05:55 time: 0.5668 data_time: 0.0230 memory: 13723 grad_norm: 5.9781 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2557 loss: 2.2557 2022/08/08 18:09:02 - mmengine - INFO - Epoch(train) [5][280/1879] lr: 1.0000e-02 eta: 1 day, 10:04:47 time: 0.5632 data_time: 0.0239 memory: 13723 grad_norm: 6.0635 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0807 loss: 2.0807 2022/08/08 18:09:13 - mmengine - INFO - Epoch(train) [5][300/1879] lr: 1.0000e-02 eta: 1 day, 10:03:40 time: 0.5657 data_time: 0.0241 memory: 13723 grad_norm: 6.0157 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.2097 loss: 2.2097 2022/08/08 18:09:25 - mmengine - INFO - Epoch(train) [5][320/1879] lr: 1.0000e-02 eta: 1 day, 10:02:32 time: 0.5626 data_time: 0.0250 memory: 13723 grad_norm: 5.9457 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2057 loss: 2.2057 2022/08/08 18:09:36 - mmengine - INFO - Epoch(train) [5][340/1879] lr: 1.0000e-02 eta: 1 day, 10:01:22 time: 0.5573 data_time: 0.0233 memory: 13723 grad_norm: 5.8337 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0386 loss: 2.0386 2022/08/08 18:09:47 - mmengine - INFO - Epoch(train) [5][360/1879] lr: 1.0000e-02 eta: 1 day, 10:00:16 time: 0.5665 data_time: 0.0254 memory: 13723 grad_norm: 6.0481 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2345 loss: 2.2345 2022/08/08 18:09:58 - mmengine - INFO - Epoch(train) [5][380/1879] lr: 1.0000e-02 eta: 1 day, 9:59:08 time: 0.5605 data_time: 0.0229 memory: 13723 grad_norm: 5.9375 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2652 loss: 2.2652 2022/08/08 18:10:10 - mmengine - INFO - Epoch(train) [5][400/1879] lr: 1.0000e-02 eta: 1 day, 9:58:03 time: 0.5677 data_time: 0.0204 memory: 13723 grad_norm: 5.7905 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1068 loss: 2.1068 2022/08/08 18:10:22 - mmengine - INFO - Epoch(train) [5][420/1879] lr: 1.0000e-02 eta: 1 day, 9:57:13 time: 0.5974 data_time: 0.0310 memory: 13723 grad_norm: 5.9305 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3287 loss: 2.3287 2022/08/08 18:10:33 - mmengine - INFO - Epoch(train) [5][440/1879] lr: 1.0000e-02 eta: 1 day, 9:56:19 time: 0.5909 data_time: 0.0267 memory: 13723 grad_norm: 5.8865 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2916 loss: 2.2916 2022/08/08 18:10:45 - mmengine - INFO - Epoch(train) [5][460/1879] lr: 1.0000e-02 eta: 1 day, 9:55:31 time: 0.6030 data_time: 0.0244 memory: 13723 grad_norm: 5.8098 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9067 loss: 1.9067 2022/08/08 18:10:57 - mmengine - INFO - Epoch(train) [5][480/1879] lr: 1.0000e-02 eta: 1 day, 9:54:33 time: 0.5805 data_time: 0.0271 memory: 13723 grad_norm: 5.8166 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0909 loss: 2.0909 2022/08/08 18:11:00 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 18:11:09 - mmengine - INFO - Epoch(train) [5][500/1879] lr: 1.0000e-02 eta: 1 day, 9:53:37 time: 0.5823 data_time: 0.0256 memory: 13723 grad_norm: 5.9320 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2764 loss: 2.2764 2022/08/08 18:11:20 - mmengine - INFO - Epoch(train) [5][520/1879] lr: 1.0000e-02 eta: 1 day, 9:52:34 time: 0.5692 data_time: 0.0243 memory: 13723 grad_norm: 6.0166 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2162 loss: 2.2162 2022/08/08 18:11:31 - mmengine - INFO - Epoch(train) [5][540/1879] lr: 1.0000e-02 eta: 1 day, 9:51:28 time: 0.5595 data_time: 0.0254 memory: 13723 grad_norm: 5.8702 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0386 loss: 2.0386 2022/08/08 18:11:43 - mmengine - INFO - Epoch(train) [5][560/1879] lr: 1.0000e-02 eta: 1 day, 9:50:24 time: 0.5644 data_time: 0.0250 memory: 13723 grad_norm: 5.8696 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0830 loss: 2.0830 2022/08/08 18:11:54 - mmengine - INFO - Epoch(train) [5][580/1879] lr: 1.0000e-02 eta: 1 day, 9:49:22 time: 0.5684 data_time: 0.0277 memory: 13723 grad_norm: 5.8182 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1332 loss: 2.1332 2022/08/08 18:12:05 - mmengine - INFO - Epoch(train) [5][600/1879] lr: 1.0000e-02 eta: 1 day, 9:48:16 time: 0.5592 data_time: 0.0248 memory: 13723 grad_norm: 5.9893 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1681 loss: 2.1681 2022/08/08 18:12:16 - mmengine - INFO - Epoch(train) [5][620/1879] lr: 1.0000e-02 eta: 1 day, 9:47:11 time: 0.5605 data_time: 0.0239 memory: 13723 grad_norm: 5.8749 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3129 loss: 2.3129 2022/08/08 18:12:28 - mmengine - INFO - Epoch(train) [5][640/1879] lr: 1.0000e-02 eta: 1 day, 9:46:07 time: 0.5612 data_time: 0.0231 memory: 13723 grad_norm: 5.8110 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0892 loss: 2.0892 2022/08/08 18:12:39 - mmengine - INFO - Epoch(train) [5][660/1879] lr: 1.0000e-02 eta: 1 day, 9:45:03 time: 0.5616 data_time: 0.0245 memory: 13723 grad_norm: 5.9377 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3001 loss: 2.3001 2022/08/08 18:12:50 - mmengine - INFO - Epoch(train) [5][680/1879] lr: 1.0000e-02 eta: 1 day, 9:44:06 time: 0.5777 data_time: 0.0231 memory: 13723 grad_norm: 5.8258 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2091 loss: 2.2091 2022/08/08 18:13:02 - mmengine - INFO - Epoch(train) [5][700/1879] lr: 1.0000e-02 eta: 1 day, 9:43:01 time: 0.5574 data_time: 0.0252 memory: 13723 grad_norm: 5.7551 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2544 loss: 2.2544 2022/08/08 18:13:13 - mmengine - INFO - Epoch(train) [5][720/1879] lr: 1.0000e-02 eta: 1 day, 9:41:57 time: 0.5598 data_time: 0.0244 memory: 13723 grad_norm: 5.5846 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0169 loss: 2.0169 2022/08/08 18:13:24 - mmengine - INFO - Epoch(train) [5][740/1879] lr: 1.0000e-02 eta: 1 day, 9:40:55 time: 0.5642 data_time: 0.0245 memory: 13723 grad_norm: 5.8323 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3853 loss: 2.3853 2022/08/08 18:13:35 - mmengine - INFO - Epoch(train) [5][760/1879] lr: 1.0000e-02 eta: 1 day, 9:39:52 time: 0.5608 data_time: 0.0231 memory: 13723 grad_norm: 5.7435 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0819 loss: 2.0819 2022/08/08 18:13:47 - mmengine - INFO - Epoch(train) [5][780/1879] lr: 1.0000e-02 eta: 1 day, 9:38:51 time: 0.5657 data_time: 0.0231 memory: 13723 grad_norm: 5.8960 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1387 loss: 2.1387 2022/08/08 18:13:58 - mmengine - INFO - Epoch(train) [5][800/1879] lr: 1.0000e-02 eta: 1 day, 9:37:47 time: 0.5579 data_time: 0.0228 memory: 13723 grad_norm: 5.7048 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1780 loss: 2.1780 2022/08/08 18:14:09 - mmengine - INFO - Epoch(train) [5][820/1879] lr: 1.0000e-02 eta: 1 day, 9:36:49 time: 0.5707 data_time: 0.0240 memory: 13723 grad_norm: 5.6531 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.3257 loss: 2.3257 2022/08/08 18:14:20 - mmengine - INFO - Epoch(train) [5][840/1879] lr: 1.0000e-02 eta: 1 day, 9:35:49 time: 0.5660 data_time: 0.0233 memory: 13723 grad_norm: 5.7625 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0877 loss: 2.0877 2022/08/08 18:14:32 - mmengine - INFO - Epoch(train) [5][860/1879] lr: 1.0000e-02 eta: 1 day, 9:34:47 time: 0.5595 data_time: 0.0242 memory: 13723 grad_norm: 5.8271 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0231 loss: 2.0231 2022/08/08 18:14:43 - mmengine - INFO - Epoch(train) [5][880/1879] lr: 1.0000e-02 eta: 1 day, 9:33:53 time: 0.5797 data_time: 0.0461 memory: 13723 grad_norm: 5.7183 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0973 loss: 2.0973 2022/08/08 18:14:54 - mmengine - INFO - Epoch(train) [5][900/1879] lr: 1.0000e-02 eta: 1 day, 9:32:51 time: 0.5588 data_time: 0.0236 memory: 13723 grad_norm: 5.8444 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3480 loss: 2.3480 2022/08/08 18:15:06 - mmengine - INFO - Epoch(train) [5][920/1879] lr: 1.0000e-02 eta: 1 day, 9:31:49 time: 0.5572 data_time: 0.0234 memory: 13723 grad_norm: 5.7662 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0919 loss: 2.0919 2022/08/08 18:15:17 - mmengine - INFO - Epoch(train) [5][940/1879] lr: 1.0000e-02 eta: 1 day, 9:30:52 time: 0.5709 data_time: 0.0222 memory: 13723 grad_norm: 5.6505 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1940 loss: 2.1940 2022/08/08 18:15:29 - mmengine - INFO - Epoch(train) [5][960/1879] lr: 1.0000e-02 eta: 1 day, 9:30:05 time: 0.5939 data_time: 0.0271 memory: 13723 grad_norm: 5.7960 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0358 loss: 2.0358 2022/08/08 18:15:40 - mmengine - INFO - Epoch(train) [5][980/1879] lr: 1.0000e-02 eta: 1 day, 9:29:13 time: 0.5801 data_time: 0.0256 memory: 13723 grad_norm: 5.9311 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0728 loss: 2.0728 2022/08/08 18:15:52 - mmengine - INFO - Epoch(train) [5][1000/1879] lr: 1.0000e-02 eta: 1 day, 9:28:30 time: 0.6016 data_time: 0.0529 memory: 13723 grad_norm: 5.8124 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3044 loss: 2.3044 2022/08/08 18:16:04 - mmengine - INFO - Epoch(train) [5][1020/1879] lr: 1.0000e-02 eta: 1 day, 9:27:33 time: 0.5677 data_time: 0.0219 memory: 13723 grad_norm: 5.6840 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.2058 loss: 2.2058 2022/08/08 18:16:15 - mmengine - INFO - Epoch(train) [5][1040/1879] lr: 1.0000e-02 eta: 1 day, 9:26:33 time: 0.5617 data_time: 0.0240 memory: 13723 grad_norm: 5.7478 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0132 loss: 2.0132 2022/08/08 18:16:26 - mmengine - INFO - Epoch(train) [5][1060/1879] lr: 1.0000e-02 eta: 1 day, 9:25:34 time: 0.5625 data_time: 0.0251 memory: 13723 grad_norm: 5.8226 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.1542 loss: 2.1542 2022/08/08 18:16:38 - mmengine - INFO - Epoch(train) [5][1080/1879] lr: 1.0000e-02 eta: 1 day, 9:24:38 time: 0.5686 data_time: 0.0253 memory: 13723 grad_norm: 5.7748 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1941 loss: 2.1941 2022/08/08 18:16:49 - mmengine - INFO - Epoch(train) [5][1100/1879] lr: 1.0000e-02 eta: 1 day, 9:23:43 time: 0.5703 data_time: 0.0240 memory: 13723 grad_norm: 5.6104 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9497 loss: 1.9497 2022/08/08 18:17:00 - mmengine - INFO - Epoch(train) [5][1120/1879] lr: 1.0000e-02 eta: 1 day, 9:22:47 time: 0.5676 data_time: 0.0249 memory: 13723 grad_norm: 5.7284 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.0416 loss: 2.0416 2022/08/08 18:17:12 - mmengine - INFO - Epoch(train) [5][1140/1879] lr: 1.0000e-02 eta: 1 day, 9:21:47 time: 0.5592 data_time: 0.0244 memory: 13723 grad_norm: 5.7657 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2535 loss: 2.2535 2022/08/08 18:17:23 - mmengine - INFO - Epoch(train) [5][1160/1879] lr: 1.0000e-02 eta: 1 day, 9:20:49 time: 0.5617 data_time: 0.0248 memory: 13723 grad_norm: 5.8972 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3090 loss: 2.3090 2022/08/08 18:17:34 - mmengine - INFO - Epoch(train) [5][1180/1879] lr: 1.0000e-02 eta: 1 day, 9:19:51 time: 0.5620 data_time: 0.0263 memory: 13723 grad_norm: 5.6886 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5332 loss: 2.5332 2022/08/08 18:17:45 - mmengine - INFO - Epoch(train) [5][1200/1879] lr: 1.0000e-02 eta: 1 day, 9:18:52 time: 0.5587 data_time: 0.0220 memory: 13723 grad_norm: 5.6971 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2210 loss: 2.2210 2022/08/08 18:17:57 - mmengine - INFO - Epoch(train) [5][1220/1879] lr: 1.0000e-02 eta: 1 day, 9:17:59 time: 0.5731 data_time: 0.0274 memory: 13723 grad_norm: 5.6417 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0929 loss: 2.0929 2022/08/08 18:18:08 - mmengine - INFO - Epoch(train) [5][1240/1879] lr: 1.0000e-02 eta: 1 day, 9:17:05 time: 0.5692 data_time: 0.0240 memory: 13723 grad_norm: 5.5916 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0296 loss: 2.0296 2022/08/08 18:18:19 - mmengine - INFO - Epoch(train) [5][1260/1879] lr: 1.0000e-02 eta: 1 day, 9:16:07 time: 0.5582 data_time: 0.0255 memory: 13723 grad_norm: 5.6752 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1972 loss: 2.1972 2022/08/08 18:18:31 - mmengine - INFO - Epoch(train) [5][1280/1879] lr: 1.0000e-02 eta: 1 day, 9:15:10 time: 0.5633 data_time: 0.0245 memory: 13723 grad_norm: 5.7699 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2697 loss: 2.2697 2022/08/08 18:18:42 - mmengine - INFO - Epoch(train) [5][1300/1879] lr: 1.0000e-02 eta: 1 day, 9:14:14 time: 0.5629 data_time: 0.0256 memory: 13723 grad_norm: 5.6760 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1861 loss: 2.1861 2022/08/08 18:18:53 - mmengine - INFO - Epoch(train) [5][1320/1879] lr: 1.0000e-02 eta: 1 day, 9:13:18 time: 0.5633 data_time: 0.0253 memory: 13723 grad_norm: 5.6245 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8933 loss: 1.8933 2022/08/08 18:19:04 - mmengine - INFO - Epoch(train) [5][1340/1879] lr: 1.0000e-02 eta: 1 day, 9:12:22 time: 0.5621 data_time: 0.0259 memory: 13723 grad_norm: 5.6939 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1404 loss: 2.1404 2022/08/08 18:19:16 - mmengine - INFO - Epoch(train) [5][1360/1879] lr: 1.0000e-02 eta: 1 day, 9:11:27 time: 0.5643 data_time: 0.0247 memory: 13723 grad_norm: 5.4763 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9429 loss: 1.9429 2022/08/08 18:19:27 - mmengine - INFO - Epoch(train) [5][1380/1879] lr: 1.0000e-02 eta: 1 day, 9:10:32 time: 0.5640 data_time: 0.0228 memory: 13723 grad_norm: 5.7909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2074 loss: 2.2074 2022/08/08 18:19:38 - mmengine - INFO - Epoch(train) [5][1400/1879] lr: 1.0000e-02 eta: 1 day, 9:09:35 time: 0.5595 data_time: 0.0236 memory: 13723 grad_norm: 5.6963 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1262 loss: 2.1262 2022/08/08 18:19:49 - mmengine - INFO - Epoch(train) [5][1420/1879] lr: 1.0000e-02 eta: 1 day, 9:08:43 time: 0.5695 data_time: 0.0215 memory: 13723 grad_norm: 5.5522 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2973 loss: 2.2973 2022/08/08 18:20:01 - mmengine - INFO - Epoch(train) [5][1440/1879] lr: 1.0000e-02 eta: 1 day, 9:07:48 time: 0.5623 data_time: 0.0237 memory: 13723 grad_norm: 5.5577 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.3181 loss: 2.3181 2022/08/08 18:20:13 - mmengine - INFO - Epoch(train) [5][1460/1879] lr: 1.0000e-02 eta: 1 day, 9:07:18 time: 0.6234 data_time: 0.0269 memory: 13723 grad_norm: 5.7238 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2565 loss: 2.2565 2022/08/08 18:20:27 - mmengine - INFO - Epoch(train) [5][1480/1879] lr: 1.0000e-02 eta: 1 day, 9:07:13 time: 0.6874 data_time: 0.0554 memory: 13723 grad_norm: 5.6184 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1533 loss: 2.1533 2022/08/08 18:20:29 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 18:20:39 - mmengine - INFO - Epoch(train) [5][1500/1879] lr: 1.0000e-02 eta: 1 day, 9:06:24 time: 0.5777 data_time: 0.0251 memory: 13723 grad_norm: 5.7584 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2213 loss: 2.2213 2022/08/08 18:20:50 - mmengine - INFO - Epoch(train) [5][1520/1879] lr: 1.0000e-02 eta: 1 day, 9:05:37 time: 0.5815 data_time: 0.0256 memory: 13723 grad_norm: 5.6090 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.2169 loss: 2.2169 2022/08/08 18:21:02 - mmengine - INFO - Epoch(train) [5][1540/1879] lr: 1.0000e-02 eta: 1 day, 9:04:50 time: 0.5817 data_time: 0.0250 memory: 13723 grad_norm: 5.5853 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0505 loss: 2.0505 2022/08/08 18:21:13 - mmengine - INFO - Epoch(train) [5][1560/1879] lr: 1.0000e-02 eta: 1 day, 9:04:01 time: 0.5732 data_time: 0.0271 memory: 13723 grad_norm: 5.7000 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1255 loss: 2.1255 2022/08/08 18:21:25 - mmengine - INFO - Epoch(train) [5][1580/1879] lr: 1.0000e-02 eta: 1 day, 9:03:09 time: 0.5677 data_time: 0.0269 memory: 13723 grad_norm: 5.5273 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1675 loss: 2.1675 2022/08/08 18:21:36 - mmengine - INFO - Epoch(train) [5][1600/1879] lr: 1.0000e-02 eta: 1 day, 9:02:13 time: 0.5571 data_time: 0.0221 memory: 13723 grad_norm: 5.6238 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2602 loss: 2.2602 2022/08/08 18:21:47 - mmengine - INFO - Epoch(train) [5][1620/1879] lr: 1.0000e-02 eta: 1 day, 9:01:21 time: 0.5660 data_time: 0.0255 memory: 13723 grad_norm: 5.5271 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0718 loss: 2.0718 2022/08/08 18:21:58 - mmengine - INFO - Epoch(train) [5][1640/1879] lr: 1.0000e-02 eta: 1 day, 9:00:28 time: 0.5634 data_time: 0.0242 memory: 13723 grad_norm: 5.5566 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1138 loss: 2.1138 2022/08/08 18:22:10 - mmengine - INFO - Epoch(train) [5][1660/1879] lr: 1.0000e-02 eta: 1 day, 8:59:33 time: 0.5583 data_time: 0.0234 memory: 13723 grad_norm: 5.6315 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9967 loss: 1.9967 2022/08/08 18:22:21 - mmengine - INFO - Epoch(train) [5][1680/1879] lr: 1.0000e-02 eta: 1 day, 8:58:47 time: 0.5808 data_time: 0.0444 memory: 13723 grad_norm: 5.6180 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0263 loss: 2.0263 2022/08/08 18:22:32 - mmengine - INFO - Epoch(train) [5][1700/1879] lr: 1.0000e-02 eta: 1 day, 8:57:52 time: 0.5561 data_time: 0.0234 memory: 13723 grad_norm: 5.6456 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1313 loss: 2.1313 2022/08/08 18:22:43 - mmengine - INFO - Epoch(train) [5][1720/1879] lr: 1.0000e-02 eta: 1 day, 8:56:58 time: 0.5602 data_time: 0.0232 memory: 13723 grad_norm: 5.6924 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2227 loss: 2.2227 2022/08/08 18:22:55 - mmengine - INFO - Epoch(train) [5][1740/1879] lr: 1.0000e-02 eta: 1 day, 8:56:04 time: 0.5585 data_time: 0.0250 memory: 13723 grad_norm: 5.4930 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1125 loss: 2.1125 2022/08/08 18:23:06 - mmengine - INFO - Epoch(train) [5][1760/1879] lr: 1.0000e-02 eta: 1 day, 8:55:11 time: 0.5601 data_time: 0.0225 memory: 13723 grad_norm: 5.5471 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.0158 loss: 2.0158 2022/08/08 18:23:17 - mmengine - INFO - Epoch(train) [5][1780/1879] lr: 1.0000e-02 eta: 1 day, 8:54:19 time: 0.5614 data_time: 0.0245 memory: 13723 grad_norm: 5.5597 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2459 loss: 2.2459 2022/08/08 18:23:28 - mmengine - INFO - Epoch(train) [5][1800/1879] lr: 1.0000e-02 eta: 1 day, 8:53:27 time: 0.5634 data_time: 0.0231 memory: 13723 grad_norm: 5.7245 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1639 loss: 2.1639 2022/08/08 18:23:40 - mmengine - INFO - Epoch(train) [5][1820/1879] lr: 1.0000e-02 eta: 1 day, 8:52:35 time: 0.5606 data_time: 0.0230 memory: 13723 grad_norm: 5.6481 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 2.1208 loss: 2.1208 2022/08/08 18:23:51 - mmengine - INFO - Epoch(train) [5][1840/1879] lr: 1.0000e-02 eta: 1 day, 8:51:50 time: 0.5806 data_time: 0.0209 memory: 13723 grad_norm: 5.5411 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0760 loss: 2.0760 2022/08/08 18:24:02 - mmengine - INFO - Epoch(train) [5][1860/1879] lr: 1.0000e-02 eta: 1 day, 8:50:58 time: 0.5602 data_time: 0.0258 memory: 13723 grad_norm: 5.5541 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1124 loss: 2.1124 2022/08/08 18:24:12 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 18:24:12 - mmengine - INFO - Epoch(train) [5][1879/1879] lr: 1.0000e-02 eta: 1 day, 8:50:58 time: 0.5237 data_time: 0.0170 memory: 13723 grad_norm: 5.6802 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.0440 loss: 2.0440 2022/08/08 18:24:26 - mmengine - INFO - Epoch(val) [5][20/155] eta: 0:01:29 time: 0.6622 data_time: 0.5216 memory: 1829 2022/08/08 18:24:35 - mmengine - INFO - Epoch(val) [5][40/155] eta: 0:00:51 time: 0.4488 data_time: 0.3098 memory: 1829 2022/08/08 18:24:47 - mmengine - INFO - Epoch(val) [5][60/155] eta: 0:00:59 time: 0.6255 data_time: 0.4867 memory: 1829 2022/08/08 18:24:56 - mmengine - INFO - Epoch(val) [5][80/155] eta: 0:00:34 time: 0.4589 data_time: 0.3206 memory: 1829 2022/08/08 18:25:14 - mmengine - INFO - Epoch(val) [5][100/155] eta: 0:00:48 time: 0.8902 data_time: 0.7380 memory: 1829 2022/08/08 18:25:23 - mmengine - INFO - Epoch(val) [5][120/155] eta: 0:00:15 time: 0.4425 data_time: 0.3037 memory: 1829 2022/08/08 18:25:37 - mmengine - INFO - Epoch(val) [5][140/155] eta: 0:00:10 time: 0.6832 data_time: 0.5436 memory: 1829 2022/08/08 18:25:44 - mmengine - INFO - Epoch(val) [5][155/155] acc/top1: 0.5125 acc/top5: 0.7807 acc/mean1: 0.5122 2022/08/08 18:26:00 - mmengine - INFO - Epoch(train) [6][20/1879] lr: 1.2000e-02 eta: 1 day, 8:47:20 time: 0.7859 data_time: 0.2154 memory: 13723 grad_norm: 5.6409 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.0535 loss: 2.0535 2022/08/08 18:26:12 - mmengine - INFO - Epoch(train) [6][40/1879] lr: 1.2000e-02 eta: 1 day, 8:46:41 time: 0.5913 data_time: 0.0245 memory: 13723 grad_norm: 5.6607 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9750 loss: 1.9750 2022/08/08 18:26:23 - mmengine - INFO - Epoch(train) [6][60/1879] lr: 1.2000e-02 eta: 1 day, 8:45:56 time: 0.5784 data_time: 0.0269 memory: 13723 grad_norm: 5.6158 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0836 loss: 2.0836 2022/08/08 18:26:35 - mmengine - INFO - Epoch(train) [6][80/1879] lr: 1.2000e-02 eta: 1 day, 8:45:08 time: 0.5672 data_time: 0.0226 memory: 13723 grad_norm: 5.6510 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9951 loss: 1.9951 2022/08/08 18:26:46 - mmengine - INFO - Epoch(train) [6][100/1879] lr: 1.2000e-02 eta: 1 day, 8:44:18 time: 0.5652 data_time: 0.0238 memory: 13723 grad_norm: 5.7109 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.0377 loss: 2.0377 2022/08/08 18:26:57 - mmengine - INFO - Epoch(train) [6][120/1879] lr: 1.2000e-02 eta: 1 day, 8:43:29 time: 0.5639 data_time: 0.0244 memory: 13723 grad_norm: 5.7797 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3551 loss: 2.3551 2022/08/08 18:27:09 - mmengine - INFO - Epoch(train) [6][140/1879] lr: 1.2000e-02 eta: 1 day, 8:42:40 time: 0.5661 data_time: 0.0251 memory: 13723 grad_norm: 5.6521 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2073 loss: 2.2073 2022/08/08 18:27:20 - mmengine - INFO - Epoch(train) [6][160/1879] lr: 1.2000e-02 eta: 1 day, 8:41:49 time: 0.5574 data_time: 0.0233 memory: 13723 grad_norm: 5.4673 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.0602 loss: 2.0602 2022/08/08 18:27:31 - mmengine - INFO - Epoch(train) [6][180/1879] lr: 1.2000e-02 eta: 1 day, 8:41:03 time: 0.5711 data_time: 0.0232 memory: 13723 grad_norm: 5.5557 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0776 loss: 2.0776 2022/08/08 18:27:42 - mmengine - INFO - Epoch(train) [6][200/1879] lr: 1.2000e-02 eta: 1 day, 8:40:12 time: 0.5588 data_time: 0.0247 memory: 13723 grad_norm: 5.4926 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0291 loss: 2.0291 2022/08/08 18:27:54 - mmengine - INFO - Epoch(train) [6][220/1879] lr: 1.2000e-02 eta: 1 day, 8:39:26 time: 0.5726 data_time: 0.0329 memory: 13723 grad_norm: 5.5591 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0810 loss: 2.0810 2022/08/08 18:28:05 - mmengine - INFO - Epoch(train) [6][240/1879] lr: 1.2000e-02 eta: 1 day, 8:38:38 time: 0.5651 data_time: 0.0250 memory: 13723 grad_norm: 5.5052 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0556 loss: 2.0556 2022/08/08 18:28:16 - mmengine - INFO - Epoch(train) [6][260/1879] lr: 1.2000e-02 eta: 1 day, 8:37:47 time: 0.5572 data_time: 0.0240 memory: 13723 grad_norm: 5.5367 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1025 loss: 2.1025 2022/08/08 18:28:28 - mmengine - INFO - Epoch(train) [6][280/1879] lr: 1.2000e-02 eta: 1 day, 8:36:59 time: 0.5640 data_time: 0.0263 memory: 13723 grad_norm: 5.5823 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9783 loss: 1.9783 2022/08/08 18:28:39 - mmengine - INFO - Epoch(train) [6][300/1879] lr: 1.2000e-02 eta: 1 day, 8:36:10 time: 0.5622 data_time: 0.0245 memory: 13723 grad_norm: 5.6104 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9752 loss: 1.9752 2022/08/08 18:28:50 - mmengine - INFO - Epoch(train) [6][320/1879] lr: 1.2000e-02 eta: 1 day, 8:35:23 time: 0.5664 data_time: 0.0232 memory: 13723 grad_norm: 5.7062 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2366 loss: 2.2366 2022/08/08 18:29:01 - mmengine - INFO - Epoch(train) [6][340/1879] lr: 1.2000e-02 eta: 1 day, 8:34:34 time: 0.5599 data_time: 0.0263 memory: 13723 grad_norm: 5.6460 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2332 loss: 2.2332 2022/08/08 18:29:13 - mmengine - INFO - Epoch(train) [6][360/1879] lr: 1.2000e-02 eta: 1 day, 8:33:46 time: 0.5614 data_time: 0.0222 memory: 13723 grad_norm: 5.5622 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2392 loss: 2.2392 2022/08/08 18:29:24 - mmengine - INFO - Epoch(train) [6][380/1879] lr: 1.2000e-02 eta: 1 day, 8:32:58 time: 0.5634 data_time: 0.0250 memory: 13723 grad_norm: 5.3201 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1078 loss: 2.1078 2022/08/08 18:29:35 - mmengine - INFO - Epoch(train) [6][400/1879] lr: 1.2000e-02 eta: 1 day, 8:32:10 time: 0.5622 data_time: 0.0239 memory: 13723 grad_norm: 5.5332 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1292 loss: 2.1292 2022/08/08 18:29:46 - mmengine - INFO - Epoch(train) [6][420/1879] lr: 1.2000e-02 eta: 1 day, 8:31:23 time: 0.5637 data_time: 0.0264 memory: 13723 grad_norm: 5.6000 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1182 loss: 2.1182 2022/08/08 18:29:58 - mmengine - INFO - Epoch(train) [6][440/1879] lr: 1.2000e-02 eta: 1 day, 8:30:34 time: 0.5597 data_time: 0.0220 memory: 13723 grad_norm: 5.5383 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.2174 loss: 2.2174 2022/08/08 18:30:09 - mmengine - INFO - Epoch(train) [6][460/1879] lr: 1.2000e-02 eta: 1 day, 8:29:52 time: 0.5754 data_time: 0.0251 memory: 13723 grad_norm: 5.4093 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1485 loss: 2.1485 2022/08/08 18:30:21 - mmengine - INFO - Epoch(train) [6][480/1879] lr: 1.2000e-02 eta: 1 day, 8:29:08 time: 0.5737 data_time: 0.0251 memory: 13723 grad_norm: 5.3516 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1998 loss: 2.1998 2022/08/08 18:30:32 - mmengine - INFO - Epoch(train) [6][500/1879] lr: 1.2000e-02 eta: 1 day, 8:28:26 time: 0.5763 data_time: 0.0257 memory: 13723 grad_norm: 5.3666 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3938 loss: 2.3938 2022/08/08 18:30:44 - mmengine - INFO - Epoch(train) [6][520/1879] lr: 1.2000e-02 eta: 1 day, 8:27:46 time: 0.5815 data_time: 0.0251 memory: 13723 grad_norm: 5.4518 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9910 loss: 1.9910 2022/08/08 18:30:55 - mmengine - INFO - Epoch(train) [6][540/1879] lr: 1.2000e-02 eta: 1 day, 8:26:59 time: 0.5632 data_time: 0.0224 memory: 13723 grad_norm: 5.4254 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.1855 loss: 2.1855 2022/08/08 18:31:06 - mmengine - INFO - Epoch(train) [6][560/1879] lr: 1.2000e-02 eta: 1 day, 8:26:15 time: 0.5683 data_time: 0.0248 memory: 13723 grad_norm: 5.4809 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1643 loss: 2.1643 2022/08/08 18:31:18 - mmengine - INFO - Epoch(train) [6][580/1879] lr: 1.2000e-02 eta: 1 day, 8:25:27 time: 0.5578 data_time: 0.0222 memory: 13723 grad_norm: 5.3493 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0067 loss: 2.0067 2022/08/08 18:31:29 - mmengine - INFO - Epoch(train) [6][600/1879] lr: 1.2000e-02 eta: 1 day, 8:24:40 time: 0.5611 data_time: 0.0239 memory: 13723 grad_norm: 5.5322 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2055 loss: 2.2055 2022/08/08 18:31:32 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 18:31:40 - mmengine - INFO - Epoch(train) [6][620/1879] lr: 1.2000e-02 eta: 1 day, 8:23:54 time: 0.5638 data_time: 0.0245 memory: 13723 grad_norm: 5.4345 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0054 loss: 2.0054 2022/08/08 18:31:51 - mmengine - INFO - Epoch(train) [6][640/1879] lr: 1.2000e-02 eta: 1 day, 8:23:09 time: 0.5648 data_time: 0.0236 memory: 13723 grad_norm: 5.4376 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1238 loss: 2.1238 2022/08/08 18:32:03 - mmengine - INFO - Epoch(train) [6][660/1879] lr: 1.2000e-02 eta: 1 day, 8:22:24 time: 0.5668 data_time: 0.0236 memory: 13723 grad_norm: 5.3414 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9955 loss: 1.9955 2022/08/08 18:32:14 - mmengine - INFO - Epoch(train) [6][680/1879] lr: 1.2000e-02 eta: 1 day, 8:21:37 time: 0.5598 data_time: 0.0233 memory: 13723 grad_norm: 5.3438 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2082 loss: 2.2082 2022/08/08 18:32:25 - mmengine - INFO - Epoch(train) [6][700/1879] lr: 1.2000e-02 eta: 1 day, 8:20:51 time: 0.5616 data_time: 0.0242 memory: 13723 grad_norm: 5.4579 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0208 loss: 2.0208 2022/08/08 18:32:36 - mmengine - INFO - Epoch(train) [6][720/1879] lr: 1.2000e-02 eta: 1 day, 8:20:07 time: 0.5666 data_time: 0.0259 memory: 13723 grad_norm: 5.3885 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1861 loss: 2.1861 2022/08/08 18:32:48 - mmengine - INFO - Epoch(train) [6][740/1879] lr: 1.2000e-02 eta: 1 day, 8:19:20 time: 0.5592 data_time: 0.0238 memory: 13723 grad_norm: 5.4265 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1867 loss: 2.1867 2022/08/08 18:32:59 - mmengine - INFO - Epoch(train) [6][760/1879] lr: 1.2000e-02 eta: 1 day, 8:18:35 time: 0.5608 data_time: 0.0239 memory: 13723 grad_norm: 5.4854 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.2486 loss: 2.2486 2022/08/08 18:33:10 - mmengine - INFO - Epoch(train) [6][780/1879] lr: 1.2000e-02 eta: 1 day, 8:17:49 time: 0.5602 data_time: 0.0241 memory: 13723 grad_norm: 5.4308 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2184 loss: 2.2184 2022/08/08 18:33:21 - mmengine - INFO - Epoch(train) [6][800/1879] lr: 1.2000e-02 eta: 1 day, 8:17:05 time: 0.5662 data_time: 0.0259 memory: 13723 grad_norm: 5.5101 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.3328 loss: 2.3328 2022/08/08 18:33:33 - mmengine - INFO - Epoch(train) [6][820/1879] lr: 1.2000e-02 eta: 1 day, 8:16:19 time: 0.5590 data_time: 0.0260 memory: 13723 grad_norm: 5.3440 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9652 loss: 1.9652 2022/08/08 18:33:44 - mmengine - INFO - Epoch(train) [6][840/1879] lr: 1.2000e-02 eta: 1 day, 8:15:33 time: 0.5612 data_time: 0.0238 memory: 13723 grad_norm: 5.2548 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0537 loss: 2.0537 2022/08/08 18:33:55 - mmengine - INFO - Epoch(train) [6][860/1879] lr: 1.2000e-02 eta: 1 day, 8:14:49 time: 0.5647 data_time: 0.0241 memory: 13723 grad_norm: 5.4545 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.0940 loss: 2.0940 2022/08/08 18:34:06 - mmengine - INFO - Epoch(train) [6][880/1879] lr: 1.2000e-02 eta: 1 day, 8:14:05 time: 0.5613 data_time: 0.0227 memory: 13723 grad_norm: 5.3251 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0127 loss: 2.0127 2022/08/08 18:34:18 - mmengine - INFO - Epoch(train) [6][900/1879] lr: 1.2000e-02 eta: 1 day, 8:13:19 time: 0.5599 data_time: 0.0256 memory: 13723 grad_norm: 5.2529 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0335 loss: 2.0335 2022/08/08 18:34:29 - mmengine - INFO - Epoch(train) [6][920/1879] lr: 1.2000e-02 eta: 1 day, 8:12:35 time: 0.5623 data_time: 0.0242 memory: 13723 grad_norm: 5.4604 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.4010 loss: 2.4010 2022/08/08 18:34:40 - mmengine - INFO - Epoch(train) [6][940/1879] lr: 1.2000e-02 eta: 1 day, 8:11:49 time: 0.5574 data_time: 0.0228 memory: 13723 grad_norm: 5.2969 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2337 loss: 2.2337 2022/08/08 18:34:51 - mmengine - INFO - Epoch(train) [6][960/1879] lr: 1.2000e-02 eta: 1 day, 8:11:04 time: 0.5603 data_time: 0.0241 memory: 13723 grad_norm: 5.5139 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2902 loss: 2.2902 2022/08/08 18:35:02 - mmengine - INFO - Epoch(train) [6][980/1879] lr: 1.2000e-02 eta: 1 day, 8:10:22 time: 0.5664 data_time: 0.0232 memory: 13723 grad_norm: 5.4420 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2556 loss: 2.2556 2022/08/08 18:35:14 - mmengine - INFO - Epoch(train) [6][1000/1879] lr: 1.2000e-02 eta: 1 day, 8:09:36 time: 0.5557 data_time: 0.0282 memory: 13723 grad_norm: 5.3051 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0953 loss: 2.0953 2022/08/08 18:35:25 - mmengine - INFO - Epoch(train) [6][1020/1879] lr: 1.2000e-02 eta: 1 day, 8:08:55 time: 0.5702 data_time: 0.0257 memory: 13723 grad_norm: 5.3386 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0972 loss: 2.0972 2022/08/08 18:35:36 - mmengine - INFO - Epoch(train) [6][1040/1879] lr: 1.2000e-02 eta: 1 day, 8:08:15 time: 0.5749 data_time: 0.0242 memory: 13723 grad_norm: 5.3159 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9501 loss: 1.9501 2022/08/08 18:35:48 - mmengine - INFO - Epoch(train) [6][1060/1879] lr: 1.2000e-02 eta: 1 day, 8:07:39 time: 0.5832 data_time: 0.0307 memory: 13723 grad_norm: 5.2504 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1783 loss: 2.1783 2022/08/08 18:36:00 - mmengine - INFO - Epoch(train) [6][1080/1879] lr: 1.2000e-02 eta: 1 day, 8:06:59 time: 0.5717 data_time: 0.0234 memory: 13723 grad_norm: 5.2897 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1239 loss: 2.1239 2022/08/08 18:36:11 - mmengine - INFO - Epoch(train) [6][1100/1879] lr: 1.2000e-02 eta: 1 day, 8:06:16 time: 0.5644 data_time: 0.0235 memory: 13723 grad_norm: 5.3681 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9056 loss: 1.9056 2022/08/08 18:36:22 - mmengine - INFO - Epoch(train) [6][1120/1879] lr: 1.2000e-02 eta: 1 day, 8:05:32 time: 0.5602 data_time: 0.0262 memory: 13723 grad_norm: 5.3009 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9579 loss: 1.9579 2022/08/08 18:36:33 - mmengine - INFO - Epoch(train) [6][1140/1879] lr: 1.2000e-02 eta: 1 day, 8:04:48 time: 0.5591 data_time: 0.0251 memory: 13723 grad_norm: 5.3537 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1847 loss: 2.1847 2022/08/08 18:36:44 - mmengine - INFO - Epoch(train) [6][1160/1879] lr: 1.2000e-02 eta: 1 day, 8:04:05 time: 0.5604 data_time: 0.0242 memory: 13723 grad_norm: 5.4223 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0484 loss: 2.0484 2022/08/08 18:36:56 - mmengine - INFO - Epoch(train) [6][1180/1879] lr: 1.2000e-02 eta: 1 day, 8:03:21 time: 0.5603 data_time: 0.0243 memory: 13723 grad_norm: 5.2170 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0126 loss: 2.0126 2022/08/08 18:37:07 - mmengine - INFO - Epoch(train) [6][1200/1879] lr: 1.2000e-02 eta: 1 day, 8:02:37 time: 0.5569 data_time: 0.0235 memory: 13723 grad_norm: 5.2210 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1643 loss: 2.1643 2022/08/08 18:37:18 - mmengine - INFO - Epoch(train) [6][1220/1879] lr: 1.2000e-02 eta: 1 day, 8:01:54 time: 0.5598 data_time: 0.0272 memory: 13723 grad_norm: 5.3144 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0717 loss: 2.0717 2022/08/08 18:37:29 - mmengine - INFO - Epoch(train) [6][1240/1879] lr: 1.2000e-02 eta: 1 day, 8:01:13 time: 0.5691 data_time: 0.0242 memory: 13723 grad_norm: 5.1538 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0178 loss: 2.0178 2022/08/08 18:37:41 - mmengine - INFO - Epoch(train) [6][1260/1879] lr: 1.2000e-02 eta: 1 day, 8:00:30 time: 0.5589 data_time: 0.0255 memory: 13723 grad_norm: 5.2918 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.2209 loss: 2.2209 2022/08/08 18:37:52 - mmengine - INFO - Epoch(train) [6][1280/1879] lr: 1.2000e-02 eta: 1 day, 7:59:55 time: 0.5826 data_time: 0.0278 memory: 13723 grad_norm: 5.1889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1575 loss: 2.1575 2022/08/08 18:38:04 - mmengine - INFO - Epoch(train) [6][1300/1879] lr: 1.2000e-02 eta: 1 day, 7:59:15 time: 0.5689 data_time: 0.0249 memory: 13723 grad_norm: 5.1851 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9779 loss: 1.9779 2022/08/08 18:38:15 - mmengine - INFO - Epoch(train) [6][1320/1879] lr: 1.2000e-02 eta: 1 day, 7:58:31 time: 0.5570 data_time: 0.0238 memory: 13723 grad_norm: 5.2108 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.2920 loss: 2.2920 2022/08/08 18:38:26 - mmengine - INFO - Epoch(train) [6][1340/1879] lr: 1.2000e-02 eta: 1 day, 7:57:49 time: 0.5626 data_time: 0.0229 memory: 13723 grad_norm: 5.3330 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.3568 loss: 2.3568 2022/08/08 18:38:37 - mmengine - INFO - Epoch(train) [6][1360/1879] lr: 1.2000e-02 eta: 1 day, 7:57:07 time: 0.5603 data_time: 0.0239 memory: 13723 grad_norm: 5.3412 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1572 loss: 2.1572 2022/08/08 18:38:48 - mmengine - INFO - Epoch(train) [6][1380/1879] lr: 1.2000e-02 eta: 1 day, 7:56:26 time: 0.5638 data_time: 0.0264 memory: 13723 grad_norm: 5.2425 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3294 loss: 2.3294 2022/08/08 18:39:00 - mmengine - INFO - Epoch(train) [6][1400/1879] lr: 1.2000e-02 eta: 1 day, 7:55:42 time: 0.5558 data_time: 0.0231 memory: 13723 grad_norm: 5.3146 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0157 loss: 2.0157 2022/08/08 18:39:11 - mmengine - INFO - Epoch(train) [6][1420/1879] lr: 1.2000e-02 eta: 1 day, 7:55:01 time: 0.5637 data_time: 0.0263 memory: 13723 grad_norm: 5.2071 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1821 loss: 2.1821 2022/08/08 18:39:22 - mmengine - INFO - Epoch(train) [6][1440/1879] lr: 1.2000e-02 eta: 1 day, 7:54:18 time: 0.5570 data_time: 0.0225 memory: 13723 grad_norm: 5.2329 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.0730 loss: 2.0730 2022/08/08 18:39:33 - mmengine - INFO - Epoch(train) [6][1460/1879] lr: 1.2000e-02 eta: 1 day, 7:53:35 time: 0.5559 data_time: 0.0249 memory: 13723 grad_norm: 5.2700 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0598 loss: 2.0598 2022/08/08 18:39:44 - mmengine - INFO - Epoch(train) [6][1480/1879] lr: 1.2000e-02 eta: 1 day, 7:52:53 time: 0.5595 data_time: 0.0235 memory: 13723 grad_norm: 5.1812 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.2360 loss: 2.2360 2022/08/08 18:39:56 - mmengine - INFO - Epoch(train) [6][1500/1879] lr: 1.2000e-02 eta: 1 day, 7:52:14 time: 0.5692 data_time: 0.0232 memory: 13723 grad_norm: 5.1289 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9905 loss: 1.9905 2022/08/08 18:40:07 - mmengine - INFO - Epoch(train) [6][1520/1879] lr: 1.2000e-02 eta: 1 day, 7:51:32 time: 0.5561 data_time: 0.0257 memory: 13723 grad_norm: 5.2579 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0786 loss: 2.0786 2022/08/08 18:40:21 - mmengine - INFO - Epoch(train) [6][1540/1879] lr: 1.2000e-02 eta: 1 day, 7:51:45 time: 0.7294 data_time: 0.0799 memory: 13723 grad_norm: 5.2992 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0569 loss: 2.0569 2022/08/08 18:40:34 - mmengine - INFO - Epoch(train) [6][1560/1879] lr: 1.2000e-02 eta: 1 day, 7:51:30 time: 0.6417 data_time: 0.0246 memory: 13723 grad_norm: 5.3315 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2551 loss: 2.2551 2022/08/08 18:40:46 - mmengine - INFO - Epoch(train) [6][1580/1879] lr: 1.2000e-02 eta: 1 day, 7:51:03 time: 0.6043 data_time: 0.0240 memory: 13723 grad_norm: 5.3164 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1607 loss: 2.1607 2022/08/08 18:40:58 - mmengine - INFO - Epoch(train) [6][1600/1879] lr: 1.2000e-02 eta: 1 day, 7:50:24 time: 0.5668 data_time: 0.0218 memory: 13723 grad_norm: 5.1432 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3020 loss: 2.3020 2022/08/08 18:41:01 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 18:41:09 - mmengine - INFO - Epoch(train) [6][1620/1879] lr: 1.2000e-02 eta: 1 day, 7:49:45 time: 0.5687 data_time: 0.0221 memory: 13723 grad_norm: 5.2446 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1323 loss: 2.1323 2022/08/08 18:41:20 - mmengine - INFO - Epoch(train) [6][1640/1879] lr: 1.2000e-02 eta: 1 day, 7:49:05 time: 0.5622 data_time: 0.0255 memory: 13723 grad_norm: 5.1710 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1546 loss: 2.1546 2022/08/08 18:41:32 - mmengine - INFO - Epoch(train) [6][1660/1879] lr: 1.2000e-02 eta: 1 day, 7:48:35 time: 0.5945 data_time: 0.0218 memory: 13723 grad_norm: 5.2343 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1903 loss: 2.1903 2022/08/08 18:41:43 - mmengine - INFO - Epoch(train) [6][1680/1879] lr: 1.2000e-02 eta: 1 day, 7:47:54 time: 0.5601 data_time: 0.0242 memory: 13723 grad_norm: 5.1366 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1325 loss: 2.1325 2022/08/08 18:41:55 - mmengine - INFO - Epoch(train) [6][1700/1879] lr: 1.2000e-02 eta: 1 day, 7:47:14 time: 0.5633 data_time: 0.0242 memory: 13723 grad_norm: 5.1874 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9988 loss: 1.9988 2022/08/08 18:42:06 - mmengine - INFO - Epoch(train) [6][1720/1879] lr: 1.2000e-02 eta: 1 day, 7:46:33 time: 0.5592 data_time: 0.0234 memory: 13723 grad_norm: 5.3220 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2806 loss: 2.2806 2022/08/08 18:42:17 - mmengine - INFO - Epoch(train) [6][1740/1879] lr: 1.2000e-02 eta: 1 day, 7:45:54 time: 0.5636 data_time: 0.0230 memory: 13723 grad_norm: 5.3645 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9470 loss: 1.9470 2022/08/08 18:42:28 - mmengine - INFO - Epoch(train) [6][1760/1879] lr: 1.2000e-02 eta: 1 day, 7:45:13 time: 0.5581 data_time: 0.0225 memory: 13723 grad_norm: 5.2266 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9483 loss: 1.9483 2022/08/08 18:42:40 - mmengine - INFO - Epoch(train) [6][1780/1879] lr: 1.2000e-02 eta: 1 day, 7:44:35 time: 0.5668 data_time: 0.0244 memory: 13723 grad_norm: 5.0870 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8761 loss: 1.8761 2022/08/08 18:42:51 - mmengine - INFO - Epoch(train) [6][1800/1879] lr: 1.2000e-02 eta: 1 day, 7:43:54 time: 0.5578 data_time: 0.0257 memory: 13723 grad_norm: 5.0604 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1698 loss: 2.1698 2022/08/08 18:43:02 - mmengine - INFO - Epoch(train) [6][1820/1879] lr: 1.2000e-02 eta: 1 day, 7:43:14 time: 0.5605 data_time: 0.0224 memory: 13723 grad_norm: 5.2948 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.2279 loss: 2.2279 2022/08/08 18:43:13 - mmengine - INFO - Epoch(train) [6][1840/1879] lr: 1.2000e-02 eta: 1 day, 7:42:34 time: 0.5613 data_time: 0.0231 memory: 13723 grad_norm: 5.3002 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2271 loss: 2.2271 2022/08/08 18:43:24 - mmengine - INFO - Epoch(train) [6][1860/1879] lr: 1.2000e-02 eta: 1 day, 7:41:53 time: 0.5559 data_time: 0.0231 memory: 13723 grad_norm: 5.0750 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0687 loss: 2.0687 2022/08/08 18:43:35 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 18:43:35 - mmengine - INFO - Epoch(train) [6][1879/1879] lr: 1.2000e-02 eta: 1 day, 7:41:53 time: 0.5407 data_time: 0.0189 memory: 13723 grad_norm: 5.0929 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.0377 loss: 2.0377 2022/08/08 18:43:35 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/08/08 18:43:49 - mmengine - INFO - Epoch(val) [6][20/155] eta: 0:01:26 time: 0.6438 data_time: 0.5034 memory: 1829 2022/08/08 18:43:58 - mmengine - INFO - Epoch(val) [6][40/155] eta: 0:00:51 time: 0.4442 data_time: 0.3044 memory: 1829 2022/08/08 18:44:10 - mmengine - INFO - Epoch(val) [6][60/155] eta: 0:00:58 time: 0.6175 data_time: 0.4787 memory: 1829 2022/08/08 18:44:19 - mmengine - INFO - Epoch(val) [6][80/155] eta: 0:00:34 time: 0.4644 data_time: 0.3244 memory: 1829 2022/08/08 18:44:32 - mmengine - INFO - Epoch(val) [6][100/155] eta: 0:00:33 time: 0.6076 data_time: 0.4674 memory: 1829 2022/08/08 18:44:41 - mmengine - INFO - Epoch(val) [6][120/155] eta: 0:00:15 time: 0.4460 data_time: 0.3050 memory: 1829 2022/08/08 18:44:54 - mmengine - INFO - Epoch(val) [6][140/155] eta: 0:00:09 time: 0.6574 data_time: 0.5187 memory: 1829 2022/08/08 18:45:01 - mmengine - INFO - Epoch(val) [6][155/155] acc/top1: 0.5334 acc/top5: 0.7893 acc/mean1: 0.5334 2022/08/08 18:45:01 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_5.pth is removed 2022/08/08 18:45:03 - mmengine - INFO - The best checkpoint with 0.5334 acc/top1 at 7 epoch is saved to best_acc/top1_epoch_7.pth. 2022/08/08 18:45:20 - mmengine - INFO - Epoch(train) [7][20/1879] lr: 1.4000e-02 eta: 1 day, 7:39:26 time: 0.8707 data_time: 0.3303 memory: 13723 grad_norm: 5.2560 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1004 loss: 2.1004 2022/08/08 18:45:32 - mmengine - INFO - Epoch(train) [7][40/1879] lr: 1.4000e-02 eta: 1 day, 7:38:50 time: 0.5724 data_time: 0.0250 memory: 13723 grad_norm: 5.1115 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0621 loss: 2.0621 2022/08/08 18:45:44 - mmengine - INFO - Epoch(train) [7][60/1879] lr: 1.4000e-02 eta: 1 day, 7:38:21 time: 0.5937 data_time: 0.0231 memory: 13723 grad_norm: 5.2083 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.2053 loss: 2.2053 2022/08/08 18:45:55 - mmengine - INFO - Epoch(train) [7][80/1879] lr: 1.4000e-02 eta: 1 day, 7:37:43 time: 0.5644 data_time: 0.0245 memory: 13723 grad_norm: 5.2289 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2187 loss: 2.2187 2022/08/08 18:46:06 - mmengine - INFO - Epoch(train) [7][100/1879] lr: 1.4000e-02 eta: 1 day, 7:37:04 time: 0.5603 data_time: 0.0239 memory: 13723 grad_norm: 5.0386 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0712 loss: 2.0712 2022/08/08 18:46:17 - mmengine - INFO - Epoch(train) [7][120/1879] lr: 1.4000e-02 eta: 1 day, 7:36:27 time: 0.5667 data_time: 0.0241 memory: 13723 grad_norm: 5.0799 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1805 loss: 2.1805 2022/08/08 18:46:29 - mmengine - INFO - Epoch(train) [7][140/1879] lr: 1.4000e-02 eta: 1 day, 7:35:47 time: 0.5583 data_time: 0.0279 memory: 13723 grad_norm: 5.2761 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9251 loss: 1.9251 2022/08/08 18:46:40 - mmengine - INFO - Epoch(train) [7][160/1879] lr: 1.4000e-02 eta: 1 day, 7:35:08 time: 0.5576 data_time: 0.0231 memory: 13723 grad_norm: 5.3424 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.2241 loss: 2.2241 2022/08/08 18:46:52 - mmengine - INFO - Epoch(train) [7][180/1879] lr: 1.4000e-02 eta: 1 day, 7:34:38 time: 0.5915 data_time: 0.0534 memory: 13723 grad_norm: 5.0977 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0113 loss: 2.0113 2022/08/08 18:47:03 - mmengine - INFO - Epoch(train) [7][200/1879] lr: 1.4000e-02 eta: 1 day, 7:33:59 time: 0.5587 data_time: 0.0237 memory: 13723 grad_norm: 5.1806 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9149 loss: 1.9149 2022/08/08 18:47:14 - mmengine - INFO - Epoch(train) [7][220/1879] lr: 1.4000e-02 eta: 1 day, 7:33:22 time: 0.5642 data_time: 0.0264 memory: 13723 grad_norm: 5.2707 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0559 loss: 2.0559 2022/08/08 18:47:25 - mmengine - INFO - Epoch(train) [7][240/1879] lr: 1.4000e-02 eta: 1 day, 7:32:44 time: 0.5625 data_time: 0.0252 memory: 13723 grad_norm: 5.4255 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.1885 loss: 2.1885 2022/08/08 18:47:37 - mmengine - INFO - Epoch(train) [7][260/1879] lr: 1.4000e-02 eta: 1 day, 7:32:05 time: 0.5578 data_time: 0.0230 memory: 13723 grad_norm: 5.1925 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2674 loss: 2.2674 2022/08/08 18:47:48 - mmengine - INFO - Epoch(train) [7][280/1879] lr: 1.4000e-02 eta: 1 day, 7:31:27 time: 0.5608 data_time: 0.0236 memory: 13723 grad_norm: 5.2178 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.2444 loss: 2.2444 2022/08/08 18:47:59 - mmengine - INFO - Epoch(train) [7][300/1879] lr: 1.4000e-02 eta: 1 day, 7:30:55 time: 0.5816 data_time: 0.0502 memory: 13723 grad_norm: 5.1101 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1322 loss: 2.1322 2022/08/08 18:48:10 - mmengine - INFO - Epoch(train) [7][320/1879] lr: 1.4000e-02 eta: 1 day, 7:30:16 time: 0.5571 data_time: 0.0235 memory: 13723 grad_norm: 5.0161 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9527 loss: 1.9527 2022/08/08 18:48:22 - mmengine - INFO - Epoch(train) [7][340/1879] lr: 1.4000e-02 eta: 1 day, 7:29:38 time: 0.5610 data_time: 0.0239 memory: 13723 grad_norm: 5.1907 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.3769 loss: 2.3769 2022/08/08 18:48:33 - mmengine - INFO - Epoch(train) [7][360/1879] lr: 1.4000e-02 eta: 1 day, 7:29:03 time: 0.5693 data_time: 0.0268 memory: 13723 grad_norm: 5.0931 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0762 loss: 2.0762 2022/08/08 18:48:44 - mmengine - INFO - Epoch(train) [7][380/1879] lr: 1.4000e-02 eta: 1 day, 7:28:24 time: 0.5565 data_time: 0.0246 memory: 13723 grad_norm: 5.1766 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1968 loss: 2.1968 2022/08/08 18:48:56 - mmengine - INFO - Epoch(train) [7][400/1879] lr: 1.4000e-02 eta: 1 day, 7:27:47 time: 0.5634 data_time: 0.0259 memory: 13723 grad_norm: 5.0078 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4214 loss: 2.4214 2022/08/08 18:49:07 - mmengine - INFO - Epoch(train) [7][420/1879] lr: 1.4000e-02 eta: 1 day, 7:27:10 time: 0.5646 data_time: 0.0249 memory: 13723 grad_norm: 5.0638 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1493 loss: 2.1493 2022/08/08 18:49:18 - mmengine - INFO - Epoch(train) [7][440/1879] lr: 1.4000e-02 eta: 1 day, 7:26:34 time: 0.5647 data_time: 0.0239 memory: 13723 grad_norm: 5.1080 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0372 loss: 2.0372 2022/08/08 18:49:29 - mmengine - INFO - Epoch(train) [7][460/1879] lr: 1.4000e-02 eta: 1 day, 7:25:55 time: 0.5564 data_time: 0.0241 memory: 13723 grad_norm: 5.0421 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1889 loss: 2.1889 2022/08/08 18:49:41 - mmengine - INFO - Epoch(train) [7][480/1879] lr: 1.4000e-02 eta: 1 day, 7:25:19 time: 0.5633 data_time: 0.0232 memory: 13723 grad_norm: 5.0647 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0595 loss: 2.0595 2022/08/08 18:49:52 - mmengine - INFO - Epoch(train) [7][500/1879] lr: 1.4000e-02 eta: 1 day, 7:24:42 time: 0.5620 data_time: 0.0258 memory: 13723 grad_norm: 5.1071 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3518 loss: 2.3518 2022/08/08 18:50:03 - mmengine - INFO - Epoch(train) [7][520/1879] lr: 1.4000e-02 eta: 1 day, 7:24:05 time: 0.5602 data_time: 0.0246 memory: 13723 grad_norm: 5.0332 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8683 loss: 1.8683 2022/08/08 18:50:17 - mmengine - INFO - Epoch(train) [7][540/1879] lr: 1.4000e-02 eta: 1 day, 7:24:07 time: 0.6916 data_time: 0.0454 memory: 13723 grad_norm: 5.0851 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0055 loss: 2.0055 2022/08/08 18:50:29 - mmengine - INFO - Epoch(train) [7][560/1879] lr: 1.4000e-02 eta: 1 day, 7:23:51 time: 0.6331 data_time: 0.0290 memory: 13723 grad_norm: 5.0492 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8664 loss: 1.8664 2022/08/08 18:50:41 - mmengine - INFO - Epoch(train) [7][580/1879] lr: 1.4000e-02 eta: 1 day, 7:23:20 time: 0.5790 data_time: 0.0273 memory: 13723 grad_norm: 5.0501 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9419 loss: 1.9419 2022/08/08 18:50:53 - mmengine - INFO - Epoch(train) [7][600/1879] lr: 1.4000e-02 eta: 1 day, 7:22:50 time: 0.5839 data_time: 0.0240 memory: 13723 grad_norm: 5.0185 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0541 loss: 2.0541 2022/08/08 18:51:05 - mmengine - INFO - Epoch(train) [7][620/1879] lr: 1.4000e-02 eta: 1 day, 7:22:22 time: 0.5903 data_time: 0.0319 memory: 13723 grad_norm: 5.0902 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1619 loss: 2.1619 2022/08/08 18:51:16 - mmengine - INFO - Epoch(train) [7][640/1879] lr: 1.4000e-02 eta: 1 day, 7:21:49 time: 0.5740 data_time: 0.0267 memory: 13723 grad_norm: 5.0172 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0531 loss: 2.0531 2022/08/08 18:51:27 - mmengine - INFO - Epoch(train) [7][660/1879] lr: 1.4000e-02 eta: 1 day, 7:21:13 time: 0.5633 data_time: 0.0226 memory: 13723 grad_norm: 5.0395 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3366 loss: 2.3366 2022/08/08 18:51:38 - mmengine - INFO - Epoch(train) [7][680/1879] lr: 1.4000e-02 eta: 1 day, 7:20:36 time: 0.5583 data_time: 0.0252 memory: 13723 grad_norm: 5.0578 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1953 loss: 2.1953 2022/08/08 18:51:50 - mmengine - INFO - Epoch(train) [7][700/1879] lr: 1.4000e-02 eta: 1 day, 7:19:59 time: 0.5617 data_time: 0.0265 memory: 13723 grad_norm: 4.9617 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0947 loss: 2.0947 2022/08/08 18:52:01 - mmengine - INFO - Epoch(train) [7][720/1879] lr: 1.4000e-02 eta: 1 day, 7:19:23 time: 0.5609 data_time: 0.0259 memory: 13723 grad_norm: 5.0886 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1776 loss: 2.1776 2022/08/08 18:52:05 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 18:52:13 - mmengine - INFO - Epoch(train) [7][740/1879] lr: 1.4000e-02 eta: 1 day, 7:18:53 time: 0.5811 data_time: 0.0424 memory: 13723 grad_norm: 5.0663 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.8543 loss: 1.8543 2022/08/08 18:52:24 - mmengine - INFO - Epoch(train) [7][760/1879] lr: 1.4000e-02 eta: 1 day, 7:18:16 time: 0.5586 data_time: 0.0261 memory: 13723 grad_norm: 5.0361 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9807 loss: 1.9807 2022/08/08 18:52:35 - mmengine - INFO - Epoch(train) [7][780/1879] lr: 1.4000e-02 eta: 1 day, 7:17:39 time: 0.5602 data_time: 0.0221 memory: 13723 grad_norm: 5.1013 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1209 loss: 2.1209 2022/08/08 18:52:46 - mmengine - INFO - Epoch(train) [7][800/1879] lr: 1.4000e-02 eta: 1 day, 7:17:05 time: 0.5664 data_time: 0.0248 memory: 13723 grad_norm: 5.0176 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1232 loss: 2.1232 2022/08/08 18:52:57 - mmengine - INFO - Epoch(train) [7][820/1879] lr: 1.4000e-02 eta: 1 day, 7:16:29 time: 0.5596 data_time: 0.0233 memory: 13723 grad_norm: 5.1382 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0632 loss: 2.0632 2022/08/08 18:53:09 - mmengine - INFO - Epoch(train) [7][840/1879] lr: 1.4000e-02 eta: 1 day, 7:15:54 time: 0.5645 data_time: 0.0252 memory: 13723 grad_norm: 5.0055 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9809 loss: 1.9809 2022/08/08 18:53:20 - mmengine - INFO - Epoch(train) [7][860/1879] lr: 1.4000e-02 eta: 1 day, 7:15:17 time: 0.5559 data_time: 0.0222 memory: 13723 grad_norm: 4.9917 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8923 loss: 1.8923 2022/08/08 18:53:31 - mmengine - INFO - Epoch(train) [7][880/1879] lr: 1.4000e-02 eta: 1 day, 7:14:42 time: 0.5641 data_time: 0.0261 memory: 13723 grad_norm: 4.9588 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1829 loss: 2.1829 2022/08/08 18:53:42 - mmengine - INFO - Epoch(train) [7][900/1879] lr: 1.4000e-02 eta: 1 day, 7:14:05 time: 0.5564 data_time: 0.0251 memory: 13723 grad_norm: 5.0564 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0532 loss: 2.0532 2022/08/08 18:53:54 - mmengine - INFO - Epoch(train) [7][920/1879] lr: 1.4000e-02 eta: 1 day, 7:13:31 time: 0.5661 data_time: 0.0226 memory: 13723 grad_norm: 4.9099 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1662 loss: 2.1662 2022/08/08 18:54:05 - mmengine - INFO - Epoch(train) [7][940/1879] lr: 1.4000e-02 eta: 1 day, 7:13:00 time: 0.5789 data_time: 0.0240 memory: 13723 grad_norm: 4.9451 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.1918 loss: 2.1918 2022/08/08 18:54:16 - mmengine - INFO - Epoch(train) [7][960/1879] lr: 1.4000e-02 eta: 1 day, 7:12:23 time: 0.5538 data_time: 0.0222 memory: 13723 grad_norm: 4.8275 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9868 loss: 1.9868 2022/08/08 18:54:27 - mmengine - INFO - Epoch(train) [7][980/1879] lr: 1.4000e-02 eta: 1 day, 7:11:47 time: 0.5587 data_time: 0.0249 memory: 13723 grad_norm: 4.9872 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2031 loss: 2.2031 2022/08/08 18:54:39 - mmengine - INFO - Epoch(train) [7][1000/1879] lr: 1.4000e-02 eta: 1 day, 7:11:13 time: 0.5664 data_time: 0.0225 memory: 13723 grad_norm: 5.0884 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9479 loss: 1.9479 2022/08/08 18:54:50 - mmengine - INFO - Epoch(train) [7][1020/1879] lr: 1.4000e-02 eta: 1 day, 7:10:38 time: 0.5607 data_time: 0.0246 memory: 13723 grad_norm: 4.8692 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2275 loss: 2.2275 2022/08/08 18:55:01 - mmengine - INFO - Epoch(train) [7][1040/1879] lr: 1.4000e-02 eta: 1 day, 7:10:02 time: 0.5588 data_time: 0.0229 memory: 13723 grad_norm: 4.9520 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1855 loss: 2.1855 2022/08/08 18:55:12 - mmengine - INFO - Epoch(train) [7][1060/1879] lr: 1.4000e-02 eta: 1 day, 7:09:27 time: 0.5590 data_time: 0.0266 memory: 13723 grad_norm: 5.0064 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2042 loss: 2.2042 2022/08/08 18:55:24 - mmengine - INFO - Epoch(train) [7][1080/1879] lr: 1.4000e-02 eta: 1 day, 7:09:02 time: 0.5958 data_time: 0.0255 memory: 13723 grad_norm: 4.9641 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0313 loss: 2.0313 2022/08/08 18:55:36 - mmengine - INFO - Epoch(train) [7][1100/1879] lr: 1.4000e-02 eta: 1 day, 7:08:41 time: 0.6107 data_time: 0.0259 memory: 13723 grad_norm: 5.0871 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0266 loss: 2.0266 2022/08/08 18:55:48 - mmengine - INFO - Epoch(train) [7][1120/1879] lr: 1.4000e-02 eta: 1 day, 7:08:12 time: 0.5820 data_time: 0.0271 memory: 13723 grad_norm: 5.1149 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1866 loss: 2.1866 2022/08/08 18:56:00 - mmengine - INFO - Epoch(train) [7][1140/1879] lr: 1.4000e-02 eta: 1 day, 7:07:42 time: 0.5780 data_time: 0.0227 memory: 13723 grad_norm: 4.9265 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0054 loss: 2.0054 2022/08/08 18:56:11 - mmengine - INFO - Epoch(train) [7][1160/1879] lr: 1.4000e-02 eta: 1 day, 7:07:10 time: 0.5697 data_time: 0.0253 memory: 13723 grad_norm: 4.8891 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9997 loss: 1.9997 2022/08/08 18:56:22 - mmengine - INFO - Epoch(train) [7][1180/1879] lr: 1.4000e-02 eta: 1 day, 7:06:36 time: 0.5633 data_time: 0.0247 memory: 13723 grad_norm: 4.9084 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.2397 loss: 2.2397 2022/08/08 18:56:34 - mmengine - INFO - Epoch(train) [7][1200/1879] lr: 1.4000e-02 eta: 1 day, 7:06:01 time: 0.5599 data_time: 0.0240 memory: 13723 grad_norm: 4.8480 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2601 loss: 2.2601 2022/08/08 18:56:45 - mmengine - INFO - Epoch(train) [7][1220/1879] lr: 1.4000e-02 eta: 1 day, 7:05:28 time: 0.5651 data_time: 0.0248 memory: 13723 grad_norm: 4.9378 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9439 loss: 1.9439 2022/08/08 18:56:56 - mmengine - INFO - Epoch(train) [7][1240/1879] lr: 1.4000e-02 eta: 1 day, 7:04:52 time: 0.5565 data_time: 0.0232 memory: 13723 grad_norm: 5.0106 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9203 loss: 1.9203 2022/08/08 18:57:07 - mmengine - INFO - Epoch(train) [7][1260/1879] lr: 1.4000e-02 eta: 1 day, 7:04:19 time: 0.5640 data_time: 0.0263 memory: 13723 grad_norm: 5.0499 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1437 loss: 2.1437 2022/08/08 18:57:18 - mmengine - INFO - Epoch(train) [7][1280/1879] lr: 1.4000e-02 eta: 1 day, 7:03:44 time: 0.5600 data_time: 0.0223 memory: 13723 grad_norm: 4.9210 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0686 loss: 2.0686 2022/08/08 18:57:30 - mmengine - INFO - Epoch(train) [7][1300/1879] lr: 1.4000e-02 eta: 1 day, 7:03:10 time: 0.5610 data_time: 0.0251 memory: 13723 grad_norm: 4.7914 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0960 loss: 2.0960 2022/08/08 18:57:41 - mmengine - INFO - Epoch(train) [7][1320/1879] lr: 1.4000e-02 eta: 1 day, 7:02:35 time: 0.5566 data_time: 0.0235 memory: 13723 grad_norm: 4.7940 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.1204 loss: 2.1204 2022/08/08 18:57:52 - mmengine - INFO - Epoch(train) [7][1340/1879] lr: 1.4000e-02 eta: 1 day, 7:02:03 time: 0.5669 data_time: 0.0233 memory: 13723 grad_norm: 4.8676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9628 loss: 1.9628 2022/08/08 18:58:03 - mmengine - INFO - Epoch(train) [7][1360/1879] lr: 1.4000e-02 eta: 1 day, 7:01:30 time: 0.5668 data_time: 0.0256 memory: 13723 grad_norm: 4.9846 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1192 loss: 2.1192 2022/08/08 18:58:15 - mmengine - INFO - Epoch(train) [7][1380/1879] lr: 1.4000e-02 eta: 1 day, 7:00:57 time: 0.5626 data_time: 0.0254 memory: 13723 grad_norm: 4.8136 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0907 loss: 2.0907 2022/08/08 18:58:26 - mmengine - INFO - Epoch(train) [7][1400/1879] lr: 1.4000e-02 eta: 1 day, 7:00:23 time: 0.5615 data_time: 0.0247 memory: 13723 grad_norm: 4.8426 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1367 loss: 2.1367 2022/08/08 18:58:37 - mmengine - INFO - Epoch(train) [7][1420/1879] lr: 1.4000e-02 eta: 1 day, 6:59:49 time: 0.5585 data_time: 0.0264 memory: 13723 grad_norm: 4.8520 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8342 loss: 1.8342 2022/08/08 18:58:48 - mmengine - INFO - Epoch(train) [7][1440/1879] lr: 1.4000e-02 eta: 1 day, 6:59:14 time: 0.5587 data_time: 0.0239 memory: 13723 grad_norm: 4.7595 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0175 loss: 2.0175 2022/08/08 18:58:59 - mmengine - INFO - Epoch(train) [7][1460/1879] lr: 1.4000e-02 eta: 1 day, 6:58:40 time: 0.5586 data_time: 0.0233 memory: 13723 grad_norm: 4.9224 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1854 loss: 2.1854 2022/08/08 18:59:11 - mmengine - INFO - Epoch(train) [7][1480/1879] lr: 1.4000e-02 eta: 1 day, 6:58:06 time: 0.5596 data_time: 0.0225 memory: 13723 grad_norm: 4.8696 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1989 loss: 2.1989 2022/08/08 18:59:22 - mmengine - INFO - Epoch(train) [7][1500/1879] lr: 1.4000e-02 eta: 1 day, 6:57:32 time: 0.5596 data_time: 0.0233 memory: 13723 grad_norm: 4.9048 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0962 loss: 2.0962 2022/08/08 18:59:33 - mmengine - INFO - Epoch(train) [7][1520/1879] lr: 1.4000e-02 eta: 1 day, 6:57:00 time: 0.5646 data_time: 0.0221 memory: 13723 grad_norm: 4.8092 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9190 loss: 1.9190 2022/08/08 18:59:44 - mmengine - INFO - Epoch(train) [7][1540/1879] lr: 1.4000e-02 eta: 1 day, 6:56:26 time: 0.5586 data_time: 0.0248 memory: 13723 grad_norm: 5.0453 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1589 loss: 2.1589 2022/08/08 18:59:56 - mmengine - INFO - Epoch(train) [7][1560/1879] lr: 1.4000e-02 eta: 1 day, 6:55:54 time: 0.5651 data_time: 0.0302 memory: 13723 grad_norm: 4.9067 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8280 loss: 1.8280 2022/08/08 19:00:07 - mmengine - INFO - Epoch(train) [7][1580/1879] lr: 1.4000e-02 eta: 1 day, 6:55:18 time: 0.5508 data_time: 0.0215 memory: 13723 grad_norm: 4.7433 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0032 loss: 2.0032 2022/08/08 19:00:19 - mmengine - INFO - Epoch(train) [7][1600/1879] lr: 1.4000e-02 eta: 1 day, 6:55:04 time: 0.6325 data_time: 0.0241 memory: 13723 grad_norm: 4.7776 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1082 loss: 2.1082 2022/08/08 19:00:32 - mmengine - INFO - Epoch(train) [7][1620/1879] lr: 1.4000e-02 eta: 1 day, 6:54:49 time: 0.6280 data_time: 0.0275 memory: 13723 grad_norm: 4.8816 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9969 loss: 1.9969 2022/08/08 19:00:44 - mmengine - INFO - Epoch(train) [7][1640/1879] lr: 1.4000e-02 eta: 1 day, 6:54:26 time: 0.5952 data_time: 0.0245 memory: 13723 grad_norm: 4.6942 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.1487 loss: 2.1487 2022/08/08 19:00:55 - mmengine - INFO - Epoch(train) [7][1660/1879] lr: 1.4000e-02 eta: 1 day, 6:53:59 time: 0.5825 data_time: 0.0265 memory: 13723 grad_norm: 4.8548 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0972 loss: 2.0972 2022/08/08 19:01:07 - mmengine - INFO - Epoch(train) [7][1680/1879] lr: 1.4000e-02 eta: 1 day, 6:53:30 time: 0.5762 data_time: 0.0222 memory: 13723 grad_norm: 4.8611 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.0632 loss: 2.0632 2022/08/08 19:01:18 - mmengine - INFO - Epoch(train) [7][1700/1879] lr: 1.4000e-02 eta: 1 day, 6:52:57 time: 0.5628 data_time: 0.0234 memory: 13723 grad_norm: 4.6955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9170 loss: 1.9170 2022/08/08 19:01:29 - mmengine - INFO - Epoch(train) [7][1720/1879] lr: 1.4000e-02 eta: 1 day, 6:52:24 time: 0.5580 data_time: 0.0255 memory: 13723 grad_norm: 4.7586 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0133 loss: 2.0133 2022/08/08 19:01:33 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 19:01:41 - mmengine - INFO - Epoch(train) [7][1740/1879] lr: 1.4000e-02 eta: 1 day, 6:51:52 time: 0.5636 data_time: 0.0259 memory: 13723 grad_norm: 4.8290 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0020 loss: 2.0020 2022/08/08 19:01:52 - mmengine - INFO - Epoch(train) [7][1760/1879] lr: 1.4000e-02 eta: 1 day, 6:51:19 time: 0.5615 data_time: 0.0246 memory: 13723 grad_norm: 4.8541 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0598 loss: 2.0598 2022/08/08 19:02:03 - mmengine - INFO - Epoch(train) [7][1780/1879] lr: 1.4000e-02 eta: 1 day, 6:50:47 time: 0.5611 data_time: 0.0236 memory: 13723 grad_norm: 4.7331 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9703 loss: 1.9703 2022/08/08 19:02:15 - mmengine - INFO - Epoch(train) [7][1800/1879] lr: 1.4000e-02 eta: 1 day, 6:50:20 time: 0.5844 data_time: 0.0228 memory: 13723 grad_norm: 4.7336 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0738 loss: 2.0738 2022/08/08 19:02:26 - mmengine - INFO - Epoch(train) [7][1820/1879] lr: 1.4000e-02 eta: 1 day, 6:49:49 time: 0.5630 data_time: 0.0266 memory: 13723 grad_norm: 4.7440 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2144 loss: 2.2144 2022/08/08 19:02:37 - mmengine - INFO - Epoch(train) [7][1840/1879] lr: 1.4000e-02 eta: 1 day, 6:49:16 time: 0.5617 data_time: 0.0223 memory: 13723 grad_norm: 4.7926 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8536 loss: 1.8536 2022/08/08 19:02:49 - mmengine - INFO - Epoch(train) [7][1860/1879] lr: 1.4000e-02 eta: 1 day, 6:48:44 time: 0.5597 data_time: 0.0237 memory: 13723 grad_norm: 4.9053 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2087 loss: 2.2087 2022/08/08 19:02:59 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 19:02:59 - mmengine - INFO - Epoch(train) [7][1879/1879] lr: 1.4000e-02 eta: 1 day, 6:48:44 time: 0.5274 data_time: 0.0174 memory: 13723 grad_norm: 4.9140 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.1889 loss: 2.1889 2022/08/08 19:03:12 - mmengine - INFO - Epoch(val) [7][20/155] eta: 0:01:29 time: 0.6627 data_time: 0.5213 memory: 1829 2022/08/08 19:03:21 - mmengine - INFO - Epoch(val) [7][40/155] eta: 0:00:50 time: 0.4356 data_time: 0.2959 memory: 1829 2022/08/08 19:03:33 - mmengine - INFO - Epoch(val) [7][60/155] eta: 0:00:59 time: 0.6305 data_time: 0.4909 memory: 1829 2022/08/08 19:03:42 - mmengine - INFO - Epoch(val) [7][80/155] eta: 0:00:34 time: 0.4617 data_time: 0.3225 memory: 1829 2022/08/08 19:03:55 - mmengine - INFO - Epoch(val) [7][100/155] eta: 0:00:34 time: 0.6192 data_time: 0.4792 memory: 1829 2022/08/08 19:04:03 - mmengine - INFO - Epoch(val) [7][120/155] eta: 0:00:14 time: 0.4173 data_time: 0.2784 memory: 1829 2022/08/08 19:04:17 - mmengine - INFO - Epoch(val) [7][140/155] eta: 0:00:10 time: 0.6771 data_time: 0.5360 memory: 1829 2022/08/08 19:04:26 - mmengine - INFO - Epoch(val) [7][155/155] acc/top1: 0.5375 acc/top5: 0.7897 acc/mean1: 0.5372 2022/08/08 19:04:26 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_7.pth is removed 2022/08/08 19:04:27 - mmengine - INFO - The best checkpoint with 0.5375 acc/top1 at 8 epoch is saved to best_acc/top1_epoch_8.pth. 2022/08/08 19:04:43 - mmengine - INFO - Epoch(train) [8][20/1879] lr: 1.6000e-02 eta: 1 day, 6:46:26 time: 0.8107 data_time: 0.2139 memory: 13723 grad_norm: 4.8167 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0525 loss: 2.0525 2022/08/08 19:04:55 - mmengine - INFO - Epoch(train) [8][40/1879] lr: 1.6000e-02 eta: 1 day, 6:45:57 time: 0.5753 data_time: 0.0236 memory: 13723 grad_norm: 4.7565 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9728 loss: 1.9728 2022/08/08 19:05:06 - mmengine - INFO - Epoch(train) [8][60/1879] lr: 1.6000e-02 eta: 1 day, 6:45:27 time: 0.5679 data_time: 0.0233 memory: 13723 grad_norm: 4.9120 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1261 loss: 2.1261 2022/08/08 19:05:18 - mmengine - INFO - Epoch(train) [8][80/1879] lr: 1.6000e-02 eta: 1 day, 6:44:56 time: 0.5657 data_time: 0.0231 memory: 13723 grad_norm: 4.8816 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0639 loss: 2.0639 2022/08/08 19:05:29 - mmengine - INFO - Epoch(train) [8][100/1879] lr: 1.6000e-02 eta: 1 day, 6:44:26 time: 0.5679 data_time: 0.0272 memory: 13723 grad_norm: 4.9222 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2130 loss: 2.2130 2022/08/08 19:05:40 - mmengine - INFO - Epoch(train) [8][120/1879] lr: 1.6000e-02 eta: 1 day, 6:43:55 time: 0.5609 data_time: 0.0223 memory: 13723 grad_norm: 4.9550 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0557 loss: 2.0557 2022/08/08 19:05:52 - mmengine - INFO - Epoch(train) [8][140/1879] lr: 1.6000e-02 eta: 1 day, 6:43:25 time: 0.5700 data_time: 0.0248 memory: 13723 grad_norm: 4.7534 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1618 loss: 2.1618 2022/08/08 19:06:03 - mmengine - INFO - Epoch(train) [8][160/1879] lr: 1.6000e-02 eta: 1 day, 6:42:53 time: 0.5578 data_time: 0.0224 memory: 13723 grad_norm: 4.8946 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1275 loss: 2.1275 2022/08/08 19:06:14 - mmengine - INFO - Epoch(train) [8][180/1879] lr: 1.6000e-02 eta: 1 day, 6:42:26 time: 0.5806 data_time: 0.0490 memory: 13723 grad_norm: 4.7841 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4429 loss: 2.4429 2022/08/08 19:06:26 - mmengine - INFO - Epoch(train) [8][200/1879] lr: 1.6000e-02 eta: 1 day, 6:41:56 time: 0.5648 data_time: 0.0245 memory: 13723 grad_norm: 4.8094 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9506 loss: 1.9506 2022/08/08 19:06:37 - mmengine - INFO - Epoch(train) [8][220/1879] lr: 1.6000e-02 eta: 1 day, 6:41:24 time: 0.5612 data_time: 0.0234 memory: 13723 grad_norm: 4.8314 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1473 loss: 2.1473 2022/08/08 19:06:48 - mmengine - INFO - Epoch(train) [8][240/1879] lr: 1.6000e-02 eta: 1 day, 6:40:54 time: 0.5643 data_time: 0.0246 memory: 13723 grad_norm: 4.7030 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1878 loss: 2.1878 2022/08/08 19:06:59 - mmengine - INFO - Epoch(train) [8][260/1879] lr: 1.6000e-02 eta: 1 day, 6:40:24 time: 0.5670 data_time: 0.0214 memory: 13723 grad_norm: 4.8397 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1799 loss: 2.1799 2022/08/08 19:07:11 - mmengine - INFO - Epoch(train) [8][280/1879] lr: 1.6000e-02 eta: 1 day, 6:39:53 time: 0.5609 data_time: 0.0269 memory: 13723 grad_norm: 4.8488 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1277 loss: 2.1277 2022/08/08 19:07:22 - mmengine - INFO - Epoch(train) [8][300/1879] lr: 1.6000e-02 eta: 1 day, 6:39:22 time: 0.5641 data_time: 0.0222 memory: 13723 grad_norm: 4.7042 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0481 loss: 2.0481 2022/08/08 19:07:33 - mmengine - INFO - Epoch(train) [8][320/1879] lr: 1.6000e-02 eta: 1 day, 6:38:51 time: 0.5617 data_time: 0.0260 memory: 13723 grad_norm: 4.7888 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0182 loss: 2.0182 2022/08/08 19:07:45 - mmengine - INFO - Epoch(train) [8][340/1879] lr: 1.6000e-02 eta: 1 day, 6:38:21 time: 0.5667 data_time: 0.0234 memory: 13723 grad_norm: 4.7057 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9522 loss: 1.9522 2022/08/08 19:07:56 - mmengine - INFO - Epoch(train) [8][360/1879] lr: 1.6000e-02 eta: 1 day, 6:37:57 time: 0.5863 data_time: 0.0234 memory: 13723 grad_norm: 4.7488 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0974 loss: 2.0974 2022/08/08 19:08:07 - mmengine - INFO - Epoch(train) [8][380/1879] lr: 1.6000e-02 eta: 1 day, 6:37:24 time: 0.5557 data_time: 0.0247 memory: 13723 grad_norm: 4.6916 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0039 loss: 2.0039 2022/08/08 19:08:19 - mmengine - INFO - Epoch(train) [8][400/1879] lr: 1.6000e-02 eta: 1 day, 6:36:54 time: 0.5620 data_time: 0.0231 memory: 13723 grad_norm: 4.7909 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0784 loss: 2.0784 2022/08/08 19:08:30 - mmengine - INFO - Epoch(train) [8][420/1879] lr: 1.6000e-02 eta: 1 day, 6:36:22 time: 0.5579 data_time: 0.0260 memory: 13723 grad_norm: 4.7784 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9971 loss: 1.9971 2022/08/08 19:08:41 - mmengine - INFO - Epoch(train) [8][440/1879] lr: 1.6000e-02 eta: 1 day, 6:35:51 time: 0.5615 data_time: 0.0249 memory: 13723 grad_norm: 4.7900 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0418 loss: 2.0418 2022/08/08 19:08:52 - mmengine - INFO - Epoch(train) [8][460/1879] lr: 1.6000e-02 eta: 1 day, 6:35:22 time: 0.5683 data_time: 0.0253 memory: 13723 grad_norm: 4.7114 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1113 loss: 2.1113 2022/08/08 19:09:04 - mmengine - INFO - Epoch(train) [8][480/1879] lr: 1.6000e-02 eta: 1 day, 6:34:53 time: 0.5661 data_time: 0.0261 memory: 13723 grad_norm: 4.6554 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0358 loss: 2.0358 2022/08/08 19:09:15 - mmengine - INFO - Epoch(train) [8][500/1879] lr: 1.6000e-02 eta: 1 day, 6:34:25 time: 0.5714 data_time: 0.0238 memory: 13723 grad_norm: 4.6331 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1232 loss: 2.1232 2022/08/08 19:09:26 - mmengine - INFO - Epoch(train) [8][520/1879] lr: 1.6000e-02 eta: 1 day, 6:33:54 time: 0.5617 data_time: 0.0257 memory: 13723 grad_norm: 4.7676 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0885 loss: 2.0885 2022/08/08 19:09:38 - mmengine - INFO - Epoch(train) [8][540/1879] lr: 1.6000e-02 eta: 1 day, 6:33:27 time: 0.5721 data_time: 0.0428 memory: 13723 grad_norm: 4.7382 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1712 loss: 2.1712 2022/08/08 19:09:49 - mmengine - INFO - Epoch(train) [8][560/1879] lr: 1.6000e-02 eta: 1 day, 6:32:55 time: 0.5568 data_time: 0.0232 memory: 13723 grad_norm: 4.6995 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.0357 loss: 2.0357 2022/08/08 19:10:00 - mmengine - INFO - Epoch(train) [8][580/1879] lr: 1.6000e-02 eta: 1 day, 6:32:24 time: 0.5581 data_time: 0.0235 memory: 13723 grad_norm: 4.8258 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1980 loss: 2.1980 2022/08/08 19:10:13 - mmengine - INFO - Epoch(train) [8][600/1879] lr: 1.6000e-02 eta: 1 day, 6:32:10 time: 0.6268 data_time: 0.0915 memory: 13723 grad_norm: 4.7541 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1379 loss: 2.1379 2022/08/08 19:10:25 - mmengine - INFO - Epoch(train) [8][620/1879] lr: 1.6000e-02 eta: 1 day, 6:31:53 time: 0.6137 data_time: 0.0260 memory: 13723 grad_norm: 4.7227 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1060 loss: 2.1060 2022/08/08 19:10:37 - mmengine - INFO - Epoch(train) [8][640/1879] lr: 1.6000e-02 eta: 1 day, 6:31:28 time: 0.5833 data_time: 0.0257 memory: 13723 grad_norm: 4.6368 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0566 loss: 2.0566 2022/08/08 19:10:48 - mmengine - INFO - Epoch(train) [8][660/1879] lr: 1.6000e-02 eta: 1 day, 6:31:04 time: 0.5853 data_time: 0.0271 memory: 13723 grad_norm: 4.6702 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0711 loss: 2.0711 2022/08/08 19:11:00 - mmengine - INFO - Epoch(train) [8][680/1879] lr: 1.6000e-02 eta: 1 day, 6:30:43 time: 0.5966 data_time: 0.0240 memory: 13723 grad_norm: 4.6971 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9119 loss: 1.9119 2022/08/08 19:11:12 - mmengine - INFO - Epoch(train) [8][700/1879] lr: 1.6000e-02 eta: 1 day, 6:30:15 time: 0.5708 data_time: 0.0244 memory: 13723 grad_norm: 4.8378 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2075 loss: 2.2075 2022/08/08 19:11:23 - mmengine - INFO - Epoch(train) [8][720/1879] lr: 1.6000e-02 eta: 1 day, 6:29:46 time: 0.5648 data_time: 0.0248 memory: 13723 grad_norm: 4.7389 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9835 loss: 1.9835 2022/08/08 19:11:34 - mmengine - INFO - Epoch(train) [8][740/1879] lr: 1.6000e-02 eta: 1 day, 6:29:16 time: 0.5642 data_time: 0.0239 memory: 13723 grad_norm: 4.7636 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0403 loss: 2.0403 2022/08/08 19:11:46 - mmengine - INFO - Epoch(train) [8][760/1879] lr: 1.6000e-02 eta: 1 day, 6:28:47 time: 0.5623 data_time: 0.0251 memory: 13723 grad_norm: 4.7910 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1783 loss: 2.1783 2022/08/08 19:11:57 - mmengine - INFO - Epoch(train) [8][780/1879] lr: 1.6000e-02 eta: 1 day, 6:28:16 time: 0.5584 data_time: 0.0243 memory: 13723 grad_norm: 4.7238 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9245 loss: 1.9245 2022/08/08 19:12:08 - mmengine - INFO - Epoch(train) [8][800/1879] lr: 1.6000e-02 eta: 1 day, 6:27:46 time: 0.5616 data_time: 0.0247 memory: 13723 grad_norm: 4.8049 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0175 loss: 2.0175 2022/08/08 19:12:19 - mmengine - INFO - Epoch(train) [8][820/1879] lr: 1.6000e-02 eta: 1 day, 6:27:15 time: 0.5561 data_time: 0.0237 memory: 13723 grad_norm: 4.6726 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1497 loss: 2.1497 2022/08/08 19:12:30 - mmengine - INFO - Epoch(train) [8][840/1879] lr: 1.6000e-02 eta: 1 day, 6:26:47 time: 0.5680 data_time: 0.0233 memory: 13723 grad_norm: 4.7152 top1_acc: 0.4375 top5_acc: 0.4375 loss_cls: 1.9917 loss: 1.9917 2022/08/08 19:12:34 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 19:12:42 - mmengine - INFO - Epoch(train) [8][860/1879] lr: 1.6000e-02 eta: 1 day, 6:26:17 time: 0.5600 data_time: 0.0247 memory: 13723 grad_norm: 4.7242 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0269 loss: 2.0269 2022/08/08 19:12:53 - mmengine - INFO - Epoch(train) [8][880/1879] lr: 1.6000e-02 eta: 1 day, 6:25:48 time: 0.5625 data_time: 0.0242 memory: 13723 grad_norm: 4.7419 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0891 loss: 2.0891 2022/08/08 19:13:04 - mmengine - INFO - Epoch(train) [8][900/1879] lr: 1.6000e-02 eta: 1 day, 6:25:19 time: 0.5666 data_time: 0.0232 memory: 13723 grad_norm: 4.6757 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1866 loss: 2.1866 2022/08/08 19:13:16 - mmengine - INFO - Epoch(train) [8][920/1879] lr: 1.6000e-02 eta: 1 day, 6:24:54 time: 0.5785 data_time: 0.0228 memory: 13723 grad_norm: 4.6698 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0055 loss: 2.0055 2022/08/08 19:13:27 - mmengine - INFO - Epoch(train) [8][940/1879] lr: 1.6000e-02 eta: 1 day, 6:24:25 time: 0.5651 data_time: 0.0236 memory: 13723 grad_norm: 4.7230 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9420 loss: 1.9420 2022/08/08 19:13:38 - mmengine - INFO - Epoch(train) [8][960/1879] lr: 1.6000e-02 eta: 1 day, 6:23:55 time: 0.5571 data_time: 0.0229 memory: 13723 grad_norm: 4.5814 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1013 loss: 2.1013 2022/08/08 19:13:50 - mmengine - INFO - Epoch(train) [8][980/1879] lr: 1.6000e-02 eta: 1 day, 6:23:26 time: 0.5647 data_time: 0.0240 memory: 13723 grad_norm: 4.7166 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9252 loss: 1.9252 2022/08/08 19:14:01 - mmengine - INFO - Epoch(train) [8][1000/1879] lr: 1.6000e-02 eta: 1 day, 6:22:56 time: 0.5585 data_time: 0.0229 memory: 13723 grad_norm: 4.6154 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1083 loss: 2.1083 2022/08/08 19:14:12 - mmengine - INFO - Epoch(train) [8][1020/1879] lr: 1.6000e-02 eta: 1 day, 6:22:26 time: 0.5564 data_time: 0.0237 memory: 13723 grad_norm: 4.8000 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1385 loss: 2.1385 2022/08/08 19:14:23 - mmengine - INFO - Epoch(train) [8][1040/1879] lr: 1.6000e-02 eta: 1 day, 6:21:56 time: 0.5579 data_time: 0.0223 memory: 13723 grad_norm: 4.7942 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0624 loss: 2.0624 2022/08/08 19:14:34 - mmengine - INFO - Epoch(train) [8][1060/1879] lr: 1.6000e-02 eta: 1 day, 6:21:26 time: 0.5611 data_time: 0.0251 memory: 13723 grad_norm: 4.6997 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0303 loss: 2.0303 2022/08/08 19:14:45 - mmengine - INFO - Epoch(train) [8][1080/1879] lr: 1.6000e-02 eta: 1 day, 6:20:58 time: 0.5627 data_time: 0.0235 memory: 13723 grad_norm: 4.6841 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8638 loss: 1.8638 2022/08/08 19:14:57 - mmengine - INFO - Epoch(train) [8][1100/1879] lr: 1.6000e-02 eta: 1 day, 6:20:28 time: 0.5603 data_time: 0.0257 memory: 13723 grad_norm: 4.7307 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2050 loss: 2.2050 2022/08/08 19:15:08 - mmengine - INFO - Epoch(train) [8][1120/1879] lr: 1.6000e-02 eta: 1 day, 6:19:56 time: 0.5467 data_time: 0.0211 memory: 13723 grad_norm: 4.6845 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0662 loss: 2.0662 2022/08/08 19:15:22 - mmengine - INFO - Epoch(train) [8][1140/1879] lr: 1.6000e-02 eta: 1 day, 6:20:03 time: 0.7096 data_time: 0.0283 memory: 13723 grad_norm: 4.5527 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0379 loss: 2.0379 2022/08/08 19:15:33 - mmengine - INFO - Epoch(train) [8][1160/1879] lr: 1.6000e-02 eta: 1 day, 6:19:38 time: 0.5786 data_time: 0.0278 memory: 13723 grad_norm: 4.7225 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8436 loss: 1.8436 2022/08/08 19:15:45 - mmengine - INFO - Epoch(train) [8][1180/1879] lr: 1.6000e-02 eta: 1 day, 6:19:12 time: 0.5744 data_time: 0.0248 memory: 13723 grad_norm: 4.6007 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0969 loss: 2.0969 2022/08/08 19:15:57 - mmengine - INFO - Epoch(train) [8][1200/1879] lr: 1.6000e-02 eta: 1 day, 6:18:48 time: 0.5831 data_time: 0.0289 memory: 13723 grad_norm: 4.6979 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0569 loss: 2.0569 2022/08/08 19:16:08 - mmengine - INFO - Epoch(train) [8][1220/1879] lr: 1.6000e-02 eta: 1 day, 6:18:24 time: 0.5775 data_time: 0.0245 memory: 13723 grad_norm: 4.5697 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9114 loss: 1.9114 2022/08/08 19:16:19 - mmengine - INFO - Epoch(train) [8][1240/1879] lr: 1.6000e-02 eta: 1 day, 6:17:56 time: 0.5666 data_time: 0.0260 memory: 13723 grad_norm: 4.6325 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7547 loss: 1.7547 2022/08/08 19:16:31 - mmengine - INFO - Epoch(train) [8][1260/1879] lr: 1.6000e-02 eta: 1 day, 6:17:34 time: 0.5902 data_time: 0.0523 memory: 13723 grad_norm: 4.6999 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9515 loss: 1.9515 2022/08/08 19:16:43 - mmengine - INFO - Epoch(train) [8][1280/1879] lr: 1.6000e-02 eta: 1 day, 6:17:07 time: 0.5665 data_time: 0.0226 memory: 13723 grad_norm: 4.6244 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1360 loss: 2.1360 2022/08/08 19:16:54 - mmengine - INFO - Epoch(train) [8][1300/1879] lr: 1.6000e-02 eta: 1 day, 6:16:38 time: 0.5616 data_time: 0.0268 memory: 13723 grad_norm: 4.6826 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9706 loss: 1.9706 2022/08/08 19:17:05 - mmengine - INFO - Epoch(train) [8][1320/1879] lr: 1.6000e-02 eta: 1 day, 6:16:10 time: 0.5645 data_time: 0.0226 memory: 13723 grad_norm: 4.7007 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0431 loss: 2.0431 2022/08/08 19:17:16 - mmengine - INFO - Epoch(train) [8][1340/1879] lr: 1.6000e-02 eta: 1 day, 6:15:43 time: 0.5691 data_time: 0.0239 memory: 13723 grad_norm: 4.6215 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9349 loss: 1.9349 2022/08/08 19:17:28 - mmengine - INFO - Epoch(train) [8][1360/1879] lr: 1.6000e-02 eta: 1 day, 6:15:19 time: 0.5787 data_time: 0.0246 memory: 13723 grad_norm: 4.5771 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0221 loss: 2.0221 2022/08/08 19:17:39 - mmengine - INFO - Epoch(train) [8][1380/1879] lr: 1.6000e-02 eta: 1 day, 6:14:51 time: 0.5656 data_time: 0.0220 memory: 13723 grad_norm: 4.6252 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9643 loss: 1.9643 2022/08/08 19:17:51 - mmengine - INFO - Epoch(train) [8][1400/1879] lr: 1.6000e-02 eta: 1 day, 6:14:29 time: 0.5845 data_time: 0.0318 memory: 13723 grad_norm: 4.6133 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9968 loss: 1.9968 2022/08/08 19:18:02 - mmengine - INFO - Epoch(train) [8][1420/1879] lr: 1.6000e-02 eta: 1 day, 6:14:01 time: 0.5665 data_time: 0.0237 memory: 13723 grad_norm: 4.5991 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9239 loss: 1.9239 2022/08/08 19:18:14 - mmengine - INFO - Epoch(train) [8][1440/1879] lr: 1.6000e-02 eta: 1 day, 6:13:34 time: 0.5667 data_time: 0.0261 memory: 13723 grad_norm: 4.6302 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1583 loss: 2.1583 2022/08/08 19:18:25 - mmengine - INFO - Epoch(train) [8][1460/1879] lr: 1.6000e-02 eta: 1 day, 6:13:06 time: 0.5637 data_time: 0.0236 memory: 13723 grad_norm: 4.6081 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2429 loss: 2.2429 2022/08/08 19:18:36 - mmengine - INFO - Epoch(train) [8][1480/1879] lr: 1.6000e-02 eta: 1 day, 6:12:40 time: 0.5673 data_time: 0.0236 memory: 13723 grad_norm: 4.6308 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0892 loss: 2.0892 2022/08/08 19:18:48 - mmengine - INFO - Epoch(train) [8][1500/1879] lr: 1.6000e-02 eta: 1 day, 6:12:12 time: 0.5655 data_time: 0.0233 memory: 13723 grad_norm: 4.4760 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1428 loss: 2.1428 2022/08/08 19:18:59 - mmengine - INFO - Epoch(train) [8][1520/1879] lr: 1.6000e-02 eta: 1 day, 6:11:45 time: 0.5658 data_time: 0.0231 memory: 13723 grad_norm: 4.5247 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0896 loss: 2.0896 2022/08/08 19:19:10 - mmengine - INFO - Epoch(train) [8][1540/1879] lr: 1.6000e-02 eta: 1 day, 6:11:17 time: 0.5622 data_time: 0.0247 memory: 13723 grad_norm: 4.5516 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0435 loss: 2.0435 2022/08/08 19:19:22 - mmengine - INFO - Epoch(train) [8][1560/1879] lr: 1.6000e-02 eta: 1 day, 6:10:53 time: 0.5769 data_time: 0.0210 memory: 13723 grad_norm: 4.6217 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1486 loss: 2.1486 2022/08/08 19:19:33 - mmengine - INFO - Epoch(train) [8][1580/1879] lr: 1.6000e-02 eta: 1 day, 6:10:28 time: 0.5774 data_time: 0.0233 memory: 13723 grad_norm: 4.5251 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8237 loss: 1.8237 2022/08/08 19:19:45 - mmengine - INFO - Epoch(train) [8][1600/1879] lr: 1.6000e-02 eta: 1 day, 6:10:09 time: 0.5987 data_time: 0.0200 memory: 13723 grad_norm: 4.6028 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9642 loss: 1.9642 2022/08/08 19:19:57 - mmengine - INFO - Epoch(train) [8][1620/1879] lr: 1.6000e-02 eta: 1 day, 6:09:42 time: 0.5653 data_time: 0.0218 memory: 13723 grad_norm: 4.4550 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9574 loss: 1.9574 2022/08/08 19:20:08 - mmengine - INFO - Epoch(train) [8][1640/1879] lr: 1.6000e-02 eta: 1 day, 6:09:16 time: 0.5701 data_time: 0.0249 memory: 13723 grad_norm: 4.6070 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0599 loss: 2.0599 2022/08/08 19:20:20 - mmengine - INFO - Epoch(train) [8][1660/1879] lr: 1.6000e-02 eta: 1 day, 6:08:53 time: 0.5819 data_time: 0.0252 memory: 13723 grad_norm: 4.7133 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.9503 loss: 1.9503 2022/08/08 19:20:32 - mmengine - INFO - Epoch(train) [8][1680/1879] lr: 1.6000e-02 eta: 1 day, 6:08:33 time: 0.5966 data_time: 0.0280 memory: 13723 grad_norm: 4.5753 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9629 loss: 1.9629 2022/08/08 19:20:43 - mmengine - INFO - Epoch(train) [8][1700/1879] lr: 1.6000e-02 eta: 1 day, 6:08:11 time: 0.5863 data_time: 0.0321 memory: 13723 grad_norm: 4.5967 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9253 loss: 1.9253 2022/08/08 19:20:55 - mmengine - INFO - Epoch(train) [8][1720/1879] lr: 1.6000e-02 eta: 1 day, 6:07:47 time: 0.5741 data_time: 0.0256 memory: 13723 grad_norm: 4.4865 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8273 loss: 1.8273 2022/08/08 19:21:06 - mmengine - INFO - Epoch(train) [8][1740/1879] lr: 1.6000e-02 eta: 1 day, 6:07:22 time: 0.5766 data_time: 0.0269 memory: 13723 grad_norm: 4.6132 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0189 loss: 2.0189 2022/08/08 19:21:18 - mmengine - INFO - Epoch(train) [8][1760/1879] lr: 1.6000e-02 eta: 1 day, 6:06:54 time: 0.5591 data_time: 0.0225 memory: 13723 grad_norm: 4.6530 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1013 loss: 2.1013 2022/08/08 19:21:29 - mmengine - INFO - Epoch(train) [8][1780/1879] lr: 1.6000e-02 eta: 1 day, 6:06:27 time: 0.5642 data_time: 0.0252 memory: 13723 grad_norm: 4.6084 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0164 loss: 2.0164 2022/08/08 19:21:40 - mmengine - INFO - Epoch(train) [8][1800/1879] lr: 1.6000e-02 eta: 1 day, 6:05:59 time: 0.5575 data_time: 0.0252 memory: 13723 grad_norm: 4.3947 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9912 loss: 1.9912 2022/08/08 19:21:51 - mmengine - INFO - Epoch(train) [8][1820/1879] lr: 1.6000e-02 eta: 1 day, 6:05:31 time: 0.5606 data_time: 0.0238 memory: 13723 grad_norm: 4.5138 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9835 loss: 1.9835 2022/08/08 19:22:02 - mmengine - INFO - Epoch(train) [8][1840/1879] lr: 1.6000e-02 eta: 1 day, 6:05:03 time: 0.5608 data_time: 0.0231 memory: 13723 grad_norm: 4.6230 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1235 loss: 2.1235 2022/08/08 19:22:06 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 19:22:14 - mmengine - INFO - Epoch(train) [8][1860/1879] lr: 1.6000e-02 eta: 1 day, 6:04:36 time: 0.5637 data_time: 0.0250 memory: 13723 grad_norm: 4.5189 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0798 loss: 2.0798 2022/08/08 19:22:24 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 19:22:24 - mmengine - INFO - Epoch(train) [8][1879/1879] lr: 1.6000e-02 eta: 1 day, 6:04:36 time: 0.5259 data_time: 0.0183 memory: 13723 grad_norm: 4.7205 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.0424 loss: 2.0424 2022/08/08 19:22:37 - mmengine - INFO - Epoch(val) [8][20/155] eta: 0:01:27 time: 0.6474 data_time: 0.5067 memory: 1829 2022/08/08 19:22:47 - mmengine - INFO - Epoch(val) [8][40/155] eta: 0:00:58 time: 0.5069 data_time: 0.3671 memory: 1829 2022/08/08 19:22:57 - mmengine - INFO - Epoch(val) [8][60/155] eta: 0:00:50 time: 0.5277 data_time: 0.3887 memory: 1829 2022/08/08 19:23:08 - mmengine - INFO - Epoch(val) [8][80/155] eta: 0:00:39 time: 0.5261 data_time: 0.3869 memory: 1829 2022/08/08 19:23:18 - mmengine - INFO - Epoch(val) [8][100/155] eta: 0:00:28 time: 0.5259 data_time: 0.3861 memory: 1829 2022/08/08 19:23:29 - mmengine - INFO - Epoch(val) [8][120/155] eta: 0:00:18 time: 0.5371 data_time: 0.3978 memory: 1829 2022/08/08 19:23:41 - mmengine - INFO - Epoch(val) [8][140/155] eta: 0:00:09 time: 0.6045 data_time: 0.4638 memory: 1829 2022/08/08 19:23:50 - mmengine - INFO - Epoch(val) [8][155/155] acc/top1: 0.5451 acc/top5: 0.8024 acc/mean1: 0.5451 2022/08/08 19:23:50 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_8.pth is removed 2022/08/08 19:23:51 - mmengine - INFO - The best checkpoint with 0.5451 acc/top1 at 9 epoch is saved to best_acc/top1_epoch_9.pth. 2022/08/08 19:24:06 - mmengine - INFO - Epoch(train) [9][20/1879] lr: 1.8000e-02 eta: 1 day, 6:02:32 time: 0.7881 data_time: 0.2397 memory: 13723 grad_norm: 4.5764 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8293 loss: 1.8293 2022/08/08 19:24:18 - mmengine - INFO - Epoch(train) [9][40/1879] lr: 1.8000e-02 eta: 1 day, 6:02:07 time: 0.5697 data_time: 0.0219 memory: 13723 grad_norm: 4.5180 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0223 loss: 2.0223 2022/08/08 19:24:29 - mmengine - INFO - Epoch(train) [9][60/1879] lr: 1.8000e-02 eta: 1 day, 6:01:43 time: 0.5778 data_time: 0.0241 memory: 13723 grad_norm: 4.6063 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9841 loss: 1.9841 2022/08/08 19:24:41 - mmengine - INFO - Epoch(train) [9][80/1879] lr: 1.8000e-02 eta: 1 day, 6:01:16 time: 0.5585 data_time: 0.0241 memory: 13723 grad_norm: 4.5610 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9089 loss: 1.9089 2022/08/08 19:24:52 - mmengine - INFO - Epoch(train) [9][100/1879] lr: 1.8000e-02 eta: 1 day, 6:00:48 time: 0.5580 data_time: 0.0236 memory: 13723 grad_norm: 4.5099 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1007 loss: 2.1007 2022/08/08 19:25:03 - mmengine - INFO - Epoch(train) [9][120/1879] lr: 1.8000e-02 eta: 1 day, 6:00:20 time: 0.5581 data_time: 0.0212 memory: 13723 grad_norm: 4.4779 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0362 loss: 2.0362 2022/08/08 19:25:14 - mmengine - INFO - Epoch(train) [9][140/1879] lr: 1.8000e-02 eta: 1 day, 5:59:53 time: 0.5608 data_time: 0.0219 memory: 13723 grad_norm: 4.5664 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8372 loss: 1.8372 2022/08/08 19:25:26 - mmengine - INFO - Epoch(train) [9][160/1879] lr: 1.8000e-02 eta: 1 day, 5:59:29 time: 0.5749 data_time: 0.0248 memory: 13723 grad_norm: 4.5668 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.1863 loss: 2.1863 2022/08/08 19:25:37 - mmengine - INFO - Epoch(train) [9][180/1879] lr: 1.8000e-02 eta: 1 day, 5:59:06 time: 0.5804 data_time: 0.0236 memory: 13723 grad_norm: 4.6622 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8726 loss: 1.8726 2022/08/08 19:25:49 - mmengine - INFO - Epoch(train) [9][200/1879] lr: 1.8000e-02 eta: 1 day, 5:58:43 time: 0.5804 data_time: 0.0275 memory: 13723 grad_norm: 4.5175 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8961 loss: 1.8961 2022/08/08 19:26:00 - mmengine - INFO - Epoch(train) [9][220/1879] lr: 1.8000e-02 eta: 1 day, 5:58:21 time: 0.5826 data_time: 0.0234 memory: 13723 grad_norm: 4.5464 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0549 loss: 2.0549 2022/08/08 19:26:12 - mmengine - INFO - Epoch(train) [9][240/1879] lr: 1.8000e-02 eta: 1 day, 5:57:55 time: 0.5652 data_time: 0.0248 memory: 13723 grad_norm: 4.6403 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0620 loss: 2.0620 2022/08/08 19:26:23 - mmengine - INFO - Epoch(train) [9][260/1879] lr: 1.8000e-02 eta: 1 day, 5:57:29 time: 0.5645 data_time: 0.0241 memory: 13723 grad_norm: 4.5963 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9741 loss: 1.9741 2022/08/08 19:26:34 - mmengine - INFO - Epoch(train) [9][280/1879] lr: 1.8000e-02 eta: 1 day, 5:57:03 time: 0.5643 data_time: 0.0248 memory: 13723 grad_norm: 4.5852 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9486 loss: 1.9486 2022/08/08 19:26:46 - mmengine - INFO - Epoch(train) [9][300/1879] lr: 1.8000e-02 eta: 1 day, 5:56:36 time: 0.5620 data_time: 0.0215 memory: 13723 grad_norm: 4.5268 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9883 loss: 1.9883 2022/08/08 19:26:57 - mmengine - INFO - Epoch(train) [9][320/1879] lr: 1.8000e-02 eta: 1 day, 5:56:10 time: 0.5610 data_time: 0.0250 memory: 13723 grad_norm: 4.4776 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9535 loss: 1.9535 2022/08/08 19:27:08 - mmengine - INFO - Epoch(train) [9][340/1879] lr: 1.8000e-02 eta: 1 day, 5:55:46 time: 0.5729 data_time: 0.0248 memory: 13723 grad_norm: 4.5504 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0302 loss: 2.0302 2022/08/08 19:27:19 - mmengine - INFO - Epoch(train) [9][360/1879] lr: 1.8000e-02 eta: 1 day, 5:55:19 time: 0.5621 data_time: 0.0242 memory: 13723 grad_norm: 4.6338 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1217 loss: 2.1217 2022/08/08 19:27:31 - mmengine - INFO - Epoch(train) [9][380/1879] lr: 1.8000e-02 eta: 1 day, 5:54:53 time: 0.5620 data_time: 0.0230 memory: 13723 grad_norm: 4.5274 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9194 loss: 1.9194 2022/08/08 19:27:42 - mmengine - INFO - Epoch(train) [9][400/1879] lr: 1.8000e-02 eta: 1 day, 5:54:26 time: 0.5607 data_time: 0.0210 memory: 13723 grad_norm: 4.4434 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0412 loss: 2.0412 2022/08/08 19:27:54 - mmengine - INFO - Epoch(train) [9][420/1879] lr: 1.8000e-02 eta: 1 day, 5:54:05 time: 0.5855 data_time: 0.0243 memory: 13723 grad_norm: 4.4047 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9068 loss: 1.9068 2022/08/08 19:28:05 - mmengine - INFO - Epoch(train) [9][440/1879] lr: 1.8000e-02 eta: 1 day, 5:53:39 time: 0.5638 data_time: 0.0241 memory: 13723 grad_norm: 4.5177 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9126 loss: 1.9126 2022/08/08 19:28:16 - mmengine - INFO - Epoch(train) [9][460/1879] lr: 1.8000e-02 eta: 1 day, 5:53:14 time: 0.5699 data_time: 0.0236 memory: 13723 grad_norm: 4.4731 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0202 loss: 2.0202 2022/08/08 19:28:28 - mmengine - INFO - Epoch(train) [9][480/1879] lr: 1.8000e-02 eta: 1 day, 5:52:48 time: 0.5626 data_time: 0.0218 memory: 13723 grad_norm: 4.4607 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.3188 loss: 2.3188 2022/08/08 19:28:39 - mmengine - INFO - Epoch(train) [9][500/1879] lr: 1.8000e-02 eta: 1 day, 5:52:22 time: 0.5628 data_time: 0.0232 memory: 13723 grad_norm: 4.3754 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0080 loss: 2.0080 2022/08/08 19:28:50 - mmengine - INFO - Epoch(train) [9][520/1879] lr: 1.8000e-02 eta: 1 day, 5:51:56 time: 0.5626 data_time: 0.0258 memory: 13723 grad_norm: 4.3443 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0604 loss: 2.0604 2022/08/08 19:29:01 - mmengine - INFO - Epoch(train) [9][540/1879] lr: 1.8000e-02 eta: 1 day, 5:51:31 time: 0.5662 data_time: 0.0268 memory: 13723 grad_norm: 4.4076 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0817 loss: 2.0817 2022/08/08 19:29:13 - mmengine - INFO - Epoch(train) [9][560/1879] lr: 1.8000e-02 eta: 1 day, 5:51:04 time: 0.5605 data_time: 0.0238 memory: 13723 grad_norm: 4.5210 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1341 loss: 2.1341 2022/08/08 19:29:24 - mmengine - INFO - Epoch(train) [9][580/1879] lr: 1.8000e-02 eta: 1 day, 5:50:38 time: 0.5599 data_time: 0.0242 memory: 13723 grad_norm: 4.4379 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1515 loss: 2.1515 2022/08/08 19:29:35 - mmengine - INFO - Epoch(train) [9][600/1879] lr: 1.8000e-02 eta: 1 day, 5:50:12 time: 0.5635 data_time: 0.0259 memory: 13723 grad_norm: 4.4917 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8023 loss: 1.8023 2022/08/08 19:29:47 - mmengine - INFO - Epoch(train) [9][620/1879] lr: 1.8000e-02 eta: 1 day, 5:49:50 time: 0.5796 data_time: 0.0237 memory: 13723 grad_norm: 4.4475 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.2036 loss: 2.2036 2022/08/08 19:29:58 - mmengine - INFO - Epoch(train) [9][640/1879] lr: 1.8000e-02 eta: 1 day, 5:49:25 time: 0.5655 data_time: 0.0268 memory: 13723 grad_norm: 4.4909 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0980 loss: 2.0980 2022/08/08 19:30:09 - mmengine - INFO - Epoch(train) [9][660/1879] lr: 1.8000e-02 eta: 1 day, 5:49:00 time: 0.5661 data_time: 0.0208 memory: 13723 grad_norm: 4.4137 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8913 loss: 1.8913 2022/08/08 19:30:21 - mmengine - INFO - Epoch(train) [9][680/1879] lr: 1.8000e-02 eta: 1 day, 5:48:37 time: 0.5783 data_time: 0.0245 memory: 13723 grad_norm: 4.4868 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7983 loss: 1.7983 2022/08/08 19:30:33 - mmengine - INFO - Epoch(train) [9][700/1879] lr: 1.8000e-02 eta: 1 day, 5:48:20 time: 0.6031 data_time: 0.0267 memory: 13723 grad_norm: 4.4032 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0134 loss: 2.0134 2022/08/08 19:30:45 - mmengine - INFO - Epoch(train) [9][720/1879] lr: 1.8000e-02 eta: 1 day, 5:48:02 time: 0.5977 data_time: 0.0242 memory: 13723 grad_norm: 4.3573 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0090 loss: 2.0090 2022/08/08 19:30:56 - mmengine - INFO - Epoch(train) [9][740/1879] lr: 1.8000e-02 eta: 1 day, 5:47:39 time: 0.5739 data_time: 0.0252 memory: 13723 grad_norm: 4.4882 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.0823 loss: 2.0823 2022/08/08 19:31:08 - mmengine - INFO - Epoch(train) [9][760/1879] lr: 1.8000e-02 eta: 1 day, 5:47:15 time: 0.5680 data_time: 0.0223 memory: 13723 grad_norm: 4.3236 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0628 loss: 2.0628 2022/08/08 19:31:19 - mmengine - INFO - Epoch(train) [9][780/1879] lr: 1.8000e-02 eta: 1 day, 5:46:48 time: 0.5579 data_time: 0.0237 memory: 13723 grad_norm: 4.4321 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0806 loss: 2.0806 2022/08/08 19:31:30 - mmengine - INFO - Epoch(train) [9][800/1879] lr: 1.8000e-02 eta: 1 day, 5:46:22 time: 0.5615 data_time: 0.0238 memory: 13723 grad_norm: 4.3710 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9628 loss: 1.9628 2022/08/08 19:31:41 - mmengine - INFO - Epoch(train) [9][820/1879] lr: 1.8000e-02 eta: 1 day, 5:45:56 time: 0.5621 data_time: 0.0220 memory: 13723 grad_norm: 4.5188 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1253 loss: 2.1253 2022/08/08 19:31:53 - mmengine - INFO - Epoch(train) [9][840/1879] lr: 1.8000e-02 eta: 1 day, 5:45:32 time: 0.5673 data_time: 0.0248 memory: 13723 grad_norm: 4.4364 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9321 loss: 1.9321 2022/08/08 19:32:04 - mmengine - INFO - Epoch(train) [9][860/1879] lr: 1.8000e-02 eta: 1 day, 5:45:06 time: 0.5622 data_time: 0.0234 memory: 13723 grad_norm: 4.4167 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0411 loss: 2.0411 2022/08/08 19:32:15 - mmengine - INFO - Epoch(train) [9][880/1879] lr: 1.8000e-02 eta: 1 day, 5:44:42 time: 0.5678 data_time: 0.0261 memory: 13723 grad_norm: 4.4644 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9206 loss: 1.9206 2022/08/08 19:32:27 - mmengine - INFO - Epoch(train) [9][900/1879] lr: 1.8000e-02 eta: 1 day, 5:44:18 time: 0.5666 data_time: 0.0227 memory: 13723 grad_norm: 4.2682 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1336 loss: 2.1336 2022/08/08 19:32:38 - mmengine - INFO - Epoch(train) [9][920/1879] lr: 1.8000e-02 eta: 1 day, 5:43:53 time: 0.5654 data_time: 0.0223 memory: 13723 grad_norm: 4.4313 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8459 loss: 1.8459 2022/08/08 19:32:49 - mmengine - INFO - Epoch(train) [9][940/1879] lr: 1.8000e-02 eta: 1 day, 5:43:28 time: 0.5677 data_time: 0.0250 memory: 13723 grad_norm: 4.4145 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0917 loss: 2.0917 2022/08/08 19:33:01 - mmengine - INFO - Epoch(train) [9][960/1879] lr: 1.8000e-02 eta: 1 day, 5:43:04 time: 0.5667 data_time: 0.0247 memory: 13723 grad_norm: 4.4793 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9764 loss: 1.9764 2022/08/08 19:33:05 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 19:33:12 - mmengine - INFO - Epoch(train) [9][980/1879] lr: 1.8000e-02 eta: 1 day, 5:42:39 time: 0.5653 data_time: 0.0222 memory: 13723 grad_norm: 4.3917 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0130 loss: 2.0130 2022/08/08 19:33:23 - mmengine - INFO - Epoch(train) [9][1000/1879] lr: 1.8000e-02 eta: 1 day, 5:42:15 time: 0.5680 data_time: 0.0253 memory: 13723 grad_norm: 4.3404 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2369 loss: 2.2369 2022/08/08 19:33:35 - mmengine - INFO - Epoch(train) [9][1020/1879] lr: 1.8000e-02 eta: 1 day, 5:41:50 time: 0.5614 data_time: 0.0270 memory: 13723 grad_norm: 4.3288 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9140 loss: 1.9140 2022/08/08 19:33:46 - mmengine - INFO - Epoch(train) [9][1040/1879] lr: 1.8000e-02 eta: 1 day, 5:41:24 time: 0.5617 data_time: 0.0219 memory: 13723 grad_norm: 4.3920 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9394 loss: 1.9394 2022/08/08 19:33:57 - mmengine - INFO - Epoch(train) [9][1060/1879] lr: 1.8000e-02 eta: 1 day, 5:41:00 time: 0.5650 data_time: 0.0249 memory: 13723 grad_norm: 4.3677 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1581 loss: 2.1581 2022/08/08 19:34:08 - mmengine - INFO - Epoch(train) [9][1080/1879] lr: 1.8000e-02 eta: 1 day, 5:40:35 time: 0.5620 data_time: 0.0261 memory: 13723 grad_norm: 4.4090 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9154 loss: 1.9154 2022/08/08 19:34:20 - mmengine - INFO - Epoch(train) [9][1100/1879] lr: 1.8000e-02 eta: 1 day, 5:40:08 time: 0.5568 data_time: 0.0231 memory: 13723 grad_norm: 4.3634 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.9863 loss: 1.9863 2022/08/08 19:34:31 - mmengine - INFO - Epoch(train) [9][1120/1879] lr: 1.8000e-02 eta: 1 day, 5:39:43 time: 0.5631 data_time: 0.0273 memory: 13723 grad_norm: 4.4149 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1620 loss: 2.1620 2022/08/08 19:34:42 - mmengine - INFO - Epoch(train) [9][1140/1879] lr: 1.8000e-02 eta: 1 day, 5:39:18 time: 0.5591 data_time: 0.0227 memory: 13723 grad_norm: 4.4090 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9014 loss: 1.9014 2022/08/08 19:34:54 - mmengine - INFO - Epoch(train) [9][1160/1879] lr: 1.8000e-02 eta: 1 day, 5:38:56 time: 0.5793 data_time: 0.0435 memory: 13723 grad_norm: 4.3152 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7785 loss: 1.7785 2022/08/08 19:35:05 - mmengine - INFO - Epoch(train) [9][1180/1879] lr: 1.8000e-02 eta: 1 day, 5:38:31 time: 0.5606 data_time: 0.0214 memory: 13723 grad_norm: 4.3047 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8521 loss: 1.8521 2022/08/08 19:35:20 - mmengine - INFO - Epoch(train) [9][1200/1879] lr: 1.8000e-02 eta: 1 day, 5:38:53 time: 0.7840 data_time: 0.1639 memory: 13723 grad_norm: 4.4307 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8724 loss: 1.8724 2022/08/08 19:35:35 - mmengine - INFO - Epoch(train) [9][1220/1879] lr: 1.8000e-02 eta: 1 day, 5:39:00 time: 0.7124 data_time: 0.0565 memory: 13723 grad_norm: 4.5198 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8594 loss: 1.8594 2022/08/08 19:35:47 - mmengine - INFO - Epoch(train) [9][1240/1879] lr: 1.8000e-02 eta: 1 day, 5:38:42 time: 0.6001 data_time: 0.0198 memory: 13723 grad_norm: 4.3512 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0132 loss: 2.0132 2022/08/08 19:35:58 - mmengine - INFO - Epoch(train) [9][1260/1879] lr: 1.8000e-02 eta: 1 day, 5:38:21 time: 0.5807 data_time: 0.0327 memory: 13723 grad_norm: 4.3441 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.0872 loss: 2.0872 2022/08/08 19:36:10 - mmengine - INFO - Epoch(train) [9][1280/1879] lr: 1.8000e-02 eta: 1 day, 5:38:04 time: 0.5997 data_time: 0.0500 memory: 13723 grad_norm: 4.4406 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0082 loss: 2.0082 2022/08/08 19:36:22 - mmengine - INFO - Epoch(train) [9][1300/1879] lr: 1.8000e-02 eta: 1 day, 5:37:40 time: 0.5639 data_time: 0.0201 memory: 13723 grad_norm: 4.4133 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0790 loss: 2.0790 2022/08/08 19:36:33 - mmengine - INFO - Epoch(train) [9][1320/1879] lr: 1.8000e-02 eta: 1 day, 5:37:16 time: 0.5667 data_time: 0.0246 memory: 13723 grad_norm: 4.3069 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8677 loss: 1.8677 2022/08/08 19:36:44 - mmengine - INFO - Epoch(train) [9][1340/1879] lr: 1.8000e-02 eta: 1 day, 5:36:51 time: 0.5648 data_time: 0.0235 memory: 13723 grad_norm: 4.3955 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9125 loss: 1.9125 2022/08/08 19:36:56 - mmengine - INFO - Epoch(train) [9][1360/1879] lr: 1.8000e-02 eta: 1 day, 5:36:28 time: 0.5714 data_time: 0.0232 memory: 13723 grad_norm: 4.1865 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9473 loss: 1.9473 2022/08/08 19:37:07 - mmengine - INFO - Epoch(train) [9][1380/1879] lr: 1.8000e-02 eta: 1 day, 5:36:05 time: 0.5698 data_time: 0.0230 memory: 13723 grad_norm: 4.3609 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9502 loss: 1.9502 2022/08/08 19:37:18 - mmengine - INFO - Epoch(train) [9][1400/1879] lr: 1.8000e-02 eta: 1 day, 5:35:41 time: 0.5629 data_time: 0.0230 memory: 13723 grad_norm: 4.4845 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9922 loss: 1.9922 2022/08/08 19:37:30 - mmengine - INFO - Epoch(train) [9][1420/1879] lr: 1.8000e-02 eta: 1 day, 5:35:16 time: 0.5624 data_time: 0.0228 memory: 13723 grad_norm: 4.2974 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9977 loss: 1.9977 2022/08/08 19:37:41 - mmengine - INFO - Epoch(train) [9][1440/1879] lr: 1.8000e-02 eta: 1 day, 5:34:54 time: 0.5747 data_time: 0.0245 memory: 13723 grad_norm: 4.3993 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9506 loss: 1.9506 2022/08/08 19:37:54 - mmengine - INFO - Epoch(train) [9][1460/1879] lr: 1.8000e-02 eta: 1 day, 5:34:45 time: 0.6387 data_time: 0.0215 memory: 13723 grad_norm: 4.4869 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1576 loss: 2.1576 2022/08/08 19:38:06 - mmengine - INFO - Epoch(train) [9][1480/1879] lr: 1.8000e-02 eta: 1 day, 5:34:29 time: 0.6030 data_time: 0.0208 memory: 13723 grad_norm: 4.3797 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6982 loss: 1.6982 2022/08/08 19:38:17 - mmengine - INFO - Epoch(train) [9][1500/1879] lr: 1.8000e-02 eta: 1 day, 5:34:07 time: 0.5750 data_time: 0.0210 memory: 13723 grad_norm: 4.3671 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9240 loss: 1.9240 2022/08/08 19:38:29 - mmengine - INFO - Epoch(train) [9][1520/1879] lr: 1.8000e-02 eta: 1 day, 5:33:46 time: 0.5825 data_time: 0.0227 memory: 13723 grad_norm: 4.3534 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0671 loss: 2.0671 2022/08/08 19:38:41 - mmengine - INFO - Epoch(train) [9][1540/1879] lr: 1.8000e-02 eta: 1 day, 5:33:27 time: 0.5889 data_time: 0.0219 memory: 13723 grad_norm: 4.3101 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9913 loss: 1.9913 2022/08/08 19:38:53 - mmengine - INFO - Epoch(train) [9][1560/1879] lr: 1.8000e-02 eta: 1 day, 5:33:07 time: 0.5839 data_time: 0.0239 memory: 13723 grad_norm: 4.1223 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8252 loss: 1.8252 2022/08/08 19:39:04 - mmengine - INFO - Epoch(train) [9][1580/1879] lr: 1.8000e-02 eta: 1 day, 5:32:45 time: 0.5727 data_time: 0.0250 memory: 13723 grad_norm: 4.2028 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7715 loss: 1.7715 2022/08/08 19:39:15 - mmengine - INFO - Epoch(train) [9][1600/1879] lr: 1.8000e-02 eta: 1 day, 5:32:21 time: 0.5654 data_time: 0.0249 memory: 13723 grad_norm: 4.3298 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9943 loss: 1.9943 2022/08/08 19:39:27 - mmengine - INFO - Epoch(train) [9][1620/1879] lr: 1.8000e-02 eta: 1 day, 5:31:56 time: 0.5598 data_time: 0.0239 memory: 13723 grad_norm: 4.4889 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9807 loss: 1.9807 2022/08/08 19:39:38 - mmengine - INFO - Epoch(train) [9][1640/1879] lr: 1.8000e-02 eta: 1 day, 5:31:31 time: 0.5614 data_time: 0.0240 memory: 13723 grad_norm: 4.3831 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0447 loss: 2.0447 2022/08/08 19:39:49 - mmengine - INFO - Epoch(train) [9][1660/1879] lr: 1.8000e-02 eta: 1 day, 5:31:07 time: 0.5606 data_time: 0.0247 memory: 13723 grad_norm: 4.2799 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0379 loss: 2.0379 2022/08/08 19:40:00 - mmengine - INFO - Epoch(train) [9][1680/1879] lr: 1.8000e-02 eta: 1 day, 5:30:43 time: 0.5656 data_time: 0.0232 memory: 13723 grad_norm: 4.2989 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1500 loss: 2.1500 2022/08/08 19:40:13 - mmengine - INFO - Epoch(train) [9][1700/1879] lr: 1.8000e-02 eta: 1 day, 5:30:35 time: 0.6417 data_time: 0.0767 memory: 13723 grad_norm: 4.3178 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9082 loss: 1.9082 2022/08/08 19:40:26 - mmengine - INFO - Epoch(train) [9][1720/1879] lr: 1.8000e-02 eta: 1 day, 5:30:24 time: 0.6277 data_time: 0.0375 memory: 13723 grad_norm: 4.3078 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.9198 loss: 1.9198 2022/08/08 19:40:39 - mmengine - INFO - Epoch(train) [9][1740/1879] lr: 1.8000e-02 eta: 1 day, 5:30:16 time: 0.6440 data_time: 0.0290 memory: 13723 grad_norm: 4.4086 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8891 loss: 1.8891 2022/08/08 19:40:50 - mmengine - INFO - Epoch(train) [9][1760/1879] lr: 1.8000e-02 eta: 1 day, 5:29:57 time: 0.5855 data_time: 0.0267 memory: 13723 grad_norm: 4.3324 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8189 loss: 1.8189 2022/08/08 19:41:02 - mmengine - INFO - Epoch(train) [9][1780/1879] lr: 1.8000e-02 eta: 1 day, 5:29:35 time: 0.5760 data_time: 0.0239 memory: 13723 grad_norm: 4.2287 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9034 loss: 1.9034 2022/08/08 19:41:13 - mmengine - INFO - Epoch(train) [9][1800/1879] lr: 1.8000e-02 eta: 1 day, 5:29:13 time: 0.5712 data_time: 0.0244 memory: 13723 grad_norm: 4.3307 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1502 loss: 2.1502 2022/08/08 19:41:25 - mmengine - INFO - Epoch(train) [9][1820/1879] lr: 1.8000e-02 eta: 1 day, 5:28:49 time: 0.5664 data_time: 0.0235 memory: 13723 grad_norm: 4.2278 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0550 loss: 2.0550 2022/08/08 19:41:36 - mmengine - INFO - Epoch(train) [9][1840/1879] lr: 1.8000e-02 eta: 1 day, 5:28:26 time: 0.5649 data_time: 0.0270 memory: 13723 grad_norm: 4.3858 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9994 loss: 1.9994 2022/08/08 19:41:47 - mmengine - INFO - Epoch(train) [9][1860/1879] lr: 1.8000e-02 eta: 1 day, 5:28:01 time: 0.5614 data_time: 0.0244 memory: 13723 grad_norm: 4.2492 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 2.1210 loss: 2.1210 2022/08/08 19:41:57 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 19:41:57 - mmengine - INFO - Epoch(train) [9][1879/1879] lr: 1.8000e-02 eta: 1 day, 5:28:01 time: 0.5279 data_time: 0.0192 memory: 13723 grad_norm: 4.4361 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.7804 loss: 1.7804 2022/08/08 19:41:57 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/08/08 19:42:12 - mmengine - INFO - Epoch(val) [9][20/155] eta: 0:01:29 time: 0.6664 data_time: 0.5240 memory: 1829 2022/08/08 19:42:21 - mmengine - INFO - Epoch(val) [9][40/155] eta: 0:00:50 time: 0.4398 data_time: 0.3013 memory: 1829 2022/08/08 19:42:34 - mmengine - INFO - Epoch(val) [9][60/155] eta: 0:01:00 time: 0.6404 data_time: 0.5001 memory: 1829 2022/08/08 19:42:44 - mmengine - INFO - Epoch(val) [9][80/155] eta: 0:00:36 time: 0.4860 data_time: 0.3470 memory: 1829 2022/08/08 19:42:57 - mmengine - INFO - Epoch(val) [9][100/155] eta: 0:00:35 time: 0.6527 data_time: 0.5119 memory: 1829 2022/08/08 19:43:06 - mmengine - INFO - Epoch(val) [9][120/155] eta: 0:00:15 time: 0.4494 data_time: 0.3103 memory: 1829 2022/08/08 19:43:17 - mmengine - INFO - Epoch(val) [9][140/155] eta: 0:00:08 time: 0.5750 data_time: 0.4363 memory: 1829 2022/08/08 19:43:24 - mmengine - INFO - Epoch(val) [9][155/155] acc/top1: 0.5494 acc/top5: 0.7978 acc/mean1: 0.5491 2022/08/08 19:43:24 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_9.pth is removed 2022/08/08 19:43:25 - mmengine - INFO - The best checkpoint with 0.5494 acc/top1 at 10 epoch is saved to best_acc/top1_epoch_10.pth. 2022/08/08 19:43:41 - mmengine - INFO - Epoch(train) [10][20/1879] lr: 2.0000e-02 eta: 1 day, 5:26:13 time: 0.7947 data_time: 0.2420 memory: 13723 grad_norm: 4.2851 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7509 loss: 1.7509 2022/08/08 19:43:52 - mmengine - INFO - Epoch(train) [10][40/1879] lr: 2.0000e-02 eta: 1 day, 5:25:50 time: 0.5653 data_time: 0.0240 memory: 13723 grad_norm: 4.3512 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9510 loss: 1.9510 2022/08/08 19:44:03 - mmengine - INFO - Epoch(train) [10][60/1879] lr: 2.0000e-02 eta: 1 day, 5:25:28 time: 0.5750 data_time: 0.0269 memory: 13723 grad_norm: 4.3847 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7969 loss: 1.7969 2022/08/08 19:44:15 - mmengine - INFO - Epoch(train) [10][80/1879] lr: 2.0000e-02 eta: 1 day, 5:25:06 time: 0.5719 data_time: 0.0225 memory: 13723 grad_norm: 4.3903 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9905 loss: 1.9905 2022/08/08 19:44:20 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 19:44:26 - mmengine - INFO - Epoch(train) [10][100/1879] lr: 2.0000e-02 eta: 1 day, 5:24:44 time: 0.5681 data_time: 0.0241 memory: 13723 grad_norm: 4.3493 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0916 loss: 2.0916 2022/08/08 19:44:37 - mmengine - INFO - Epoch(train) [10][120/1879] lr: 2.0000e-02 eta: 1 day, 5:24:19 time: 0.5573 data_time: 0.0229 memory: 13723 grad_norm: 4.2031 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8673 loss: 1.8673 2022/08/08 19:44:49 - mmengine - INFO - Epoch(train) [10][140/1879] lr: 2.0000e-02 eta: 1 day, 5:23:55 time: 0.5643 data_time: 0.0247 memory: 13723 grad_norm: 4.2706 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1170 loss: 2.1170 2022/08/08 19:45:00 - mmengine - INFO - Epoch(train) [10][160/1879] lr: 2.0000e-02 eta: 1 day, 5:23:33 time: 0.5718 data_time: 0.0257 memory: 13723 grad_norm: 4.2895 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9074 loss: 1.9074 2022/08/08 19:45:13 - mmengine - INFO - Epoch(train) [10][180/1879] lr: 2.0000e-02 eta: 1 day, 5:23:30 time: 0.6665 data_time: 0.1192 memory: 13723 grad_norm: 4.3394 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8717 loss: 1.8717 2022/08/08 19:45:25 - mmengine - INFO - Epoch(train) [10][200/1879] lr: 2.0000e-02 eta: 1 day, 5:23:14 time: 0.5984 data_time: 0.0267 memory: 13723 grad_norm: 4.3123 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9817 loss: 1.9817 2022/08/08 19:45:37 - mmengine - INFO - Epoch(train) [10][220/1879] lr: 2.0000e-02 eta: 1 day, 5:22:52 time: 0.5719 data_time: 0.0250 memory: 13723 grad_norm: 4.2452 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9531 loss: 1.9531 2022/08/08 19:45:49 - mmengine - INFO - Epoch(train) [10][240/1879] lr: 2.0000e-02 eta: 1 day, 5:22:40 time: 0.6197 data_time: 0.0261 memory: 13723 grad_norm: 4.2791 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8885 loss: 1.8885 2022/08/08 19:46:01 - mmengine - INFO - Epoch(train) [10][260/1879] lr: 2.0000e-02 eta: 1 day, 5:22:20 time: 0.5839 data_time: 0.0275 memory: 13723 grad_norm: 4.3168 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.1152 loss: 2.1152 2022/08/08 19:46:12 - mmengine - INFO - Epoch(train) [10][280/1879] lr: 2.0000e-02 eta: 1 day, 5:22:00 time: 0.5782 data_time: 0.0228 memory: 13723 grad_norm: 4.2410 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8537 loss: 1.8537 2022/08/08 19:46:24 - mmengine - INFO - Epoch(train) [10][300/1879] lr: 2.0000e-02 eta: 1 day, 5:21:38 time: 0.5720 data_time: 0.0254 memory: 13723 grad_norm: 4.3744 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1617 loss: 2.1617 2022/08/08 19:46:35 - mmengine - INFO - Epoch(train) [10][320/1879] lr: 2.0000e-02 eta: 1 day, 5:21:16 time: 0.5704 data_time: 0.0197 memory: 13723 grad_norm: 4.3296 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9296 loss: 1.9296 2022/08/08 19:46:47 - mmengine - INFO - Epoch(train) [10][340/1879] lr: 2.0000e-02 eta: 1 day, 5:20:53 time: 0.5664 data_time: 0.0243 memory: 13723 grad_norm: 4.2482 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.9655 loss: 1.9655 2022/08/08 19:46:58 - mmengine - INFO - Epoch(train) [10][360/1879] lr: 2.0000e-02 eta: 1 day, 5:20:28 time: 0.5569 data_time: 0.0211 memory: 13723 grad_norm: 4.2919 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0557 loss: 2.0557 2022/08/08 19:47:09 - mmengine - INFO - Epoch(train) [10][380/1879] lr: 2.0000e-02 eta: 1 day, 5:20:05 time: 0.5668 data_time: 0.0256 memory: 13723 grad_norm: 4.2365 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1536 loss: 2.1536 2022/08/08 19:47:20 - mmengine - INFO - Epoch(train) [10][400/1879] lr: 2.0000e-02 eta: 1 day, 5:19:41 time: 0.5592 data_time: 0.0246 memory: 13723 grad_norm: 4.2381 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9633 loss: 1.9633 2022/08/08 19:47:32 - mmengine - INFO - Epoch(train) [10][420/1879] lr: 2.0000e-02 eta: 1 day, 5:19:19 time: 0.5670 data_time: 0.0238 memory: 13723 grad_norm: 4.2279 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9759 loss: 1.9759 2022/08/08 19:47:43 - mmengine - INFO - Epoch(train) [10][440/1879] lr: 2.0000e-02 eta: 1 day, 5:18:55 time: 0.5607 data_time: 0.0262 memory: 13723 grad_norm: 4.4080 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9941 loss: 1.9941 2022/08/08 19:47:54 - mmengine - INFO - Epoch(train) [10][460/1879] lr: 2.0000e-02 eta: 1 day, 5:18:35 time: 0.5789 data_time: 0.0238 memory: 13723 grad_norm: 4.3724 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9193 loss: 1.9193 2022/08/08 19:48:06 - mmengine - INFO - Epoch(train) [10][480/1879] lr: 2.0000e-02 eta: 1 day, 5:18:10 time: 0.5554 data_time: 0.0253 memory: 13723 grad_norm: 4.4027 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9439 loss: 1.9439 2022/08/08 19:48:17 - mmengine - INFO - Epoch(train) [10][500/1879] lr: 2.0000e-02 eta: 1 day, 5:17:46 time: 0.5589 data_time: 0.0227 memory: 13723 grad_norm: 4.3314 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0207 loss: 2.0207 2022/08/08 19:48:28 - mmengine - INFO - Epoch(train) [10][520/1879] lr: 2.0000e-02 eta: 1 day, 5:17:23 time: 0.5658 data_time: 0.0236 memory: 13723 grad_norm: 4.3030 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9506 loss: 1.9506 2022/08/08 19:48:39 - mmengine - INFO - Epoch(train) [10][540/1879] lr: 2.0000e-02 eta: 1 day, 5:17:00 time: 0.5661 data_time: 0.0239 memory: 13723 grad_norm: 4.2483 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2833 loss: 2.2833 2022/08/08 19:48:51 - mmengine - INFO - Epoch(train) [10][560/1879] lr: 2.0000e-02 eta: 1 day, 5:16:37 time: 0.5615 data_time: 0.0250 memory: 13723 grad_norm: 4.2734 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8690 loss: 1.8690 2022/08/08 19:49:02 - mmengine - INFO - Epoch(train) [10][580/1879] lr: 2.0000e-02 eta: 1 day, 5:16:13 time: 0.5603 data_time: 0.0239 memory: 13723 grad_norm: 4.1092 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0132 loss: 2.0132 2022/08/08 19:49:13 - mmengine - INFO - Epoch(train) [10][600/1879] lr: 2.0000e-02 eta: 1 day, 5:15:51 time: 0.5655 data_time: 0.0239 memory: 13723 grad_norm: 4.0839 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9846 loss: 1.9846 2022/08/08 19:49:24 - mmengine - INFO - Epoch(train) [10][620/1879] lr: 2.0000e-02 eta: 1 day, 5:15:28 time: 0.5634 data_time: 0.0255 memory: 13723 grad_norm: 4.1608 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0978 loss: 2.0978 2022/08/08 19:49:36 - mmengine - INFO - Epoch(train) [10][640/1879] lr: 2.0000e-02 eta: 1 day, 5:15:05 time: 0.5631 data_time: 0.0238 memory: 13723 grad_norm: 4.2044 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9046 loss: 1.9046 2022/08/08 19:49:47 - mmengine - INFO - Epoch(train) [10][660/1879] lr: 2.0000e-02 eta: 1 day, 5:14:42 time: 0.5636 data_time: 0.0260 memory: 13723 grad_norm: 4.3080 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2525 loss: 2.2525 2022/08/08 19:49:58 - mmengine - INFO - Epoch(train) [10][680/1879] lr: 2.0000e-02 eta: 1 day, 5:14:18 time: 0.5606 data_time: 0.0261 memory: 13723 grad_norm: 4.2904 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8954 loss: 1.8954 2022/08/08 19:50:09 - mmengine - INFO - Epoch(train) [10][700/1879] lr: 2.0000e-02 eta: 1 day, 5:13:55 time: 0.5613 data_time: 0.0230 memory: 13723 grad_norm: 4.3639 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0640 loss: 2.0640 2022/08/08 19:50:21 - mmengine - INFO - Epoch(train) [10][720/1879] lr: 2.0000e-02 eta: 1 day, 5:13:34 time: 0.5721 data_time: 0.0276 memory: 13723 grad_norm: 4.2398 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0809 loss: 2.0809 2022/08/08 19:50:32 - mmengine - INFO - Epoch(train) [10][740/1879] lr: 2.0000e-02 eta: 1 day, 5:13:14 time: 0.5819 data_time: 0.0260 memory: 13723 grad_norm: 4.2429 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9685 loss: 1.9685 2022/08/08 19:50:44 - mmengine - INFO - Epoch(train) [10][760/1879] lr: 2.0000e-02 eta: 1 day, 5:12:55 time: 0.5830 data_time: 0.0291 memory: 13723 grad_norm: 4.1078 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8697 loss: 1.8697 2022/08/08 19:50:56 - mmengine - INFO - Epoch(train) [10][780/1879] lr: 2.0000e-02 eta: 1 day, 5:12:35 time: 0.5780 data_time: 0.0252 memory: 13723 grad_norm: 4.2166 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8494 loss: 1.8494 2022/08/08 19:51:07 - mmengine - INFO - Epoch(train) [10][800/1879] lr: 2.0000e-02 eta: 1 day, 5:12:16 time: 0.5837 data_time: 0.0267 memory: 13723 grad_norm: 4.1746 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0201 loss: 2.0201 2022/08/08 19:51:19 - mmengine - INFO - Epoch(train) [10][820/1879] lr: 2.0000e-02 eta: 1 day, 5:11:57 time: 0.5846 data_time: 0.0261 memory: 13723 grad_norm: 4.2028 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1830 loss: 2.1830 2022/08/08 19:51:31 - mmengine - INFO - Epoch(train) [10][840/1879] lr: 2.0000e-02 eta: 1 day, 5:11:38 time: 0.5801 data_time: 0.0217 memory: 13723 grad_norm: 4.2460 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1938 loss: 2.1938 2022/08/08 19:51:42 - mmengine - INFO - Epoch(train) [10][860/1879] lr: 2.0000e-02 eta: 1 day, 5:11:16 time: 0.5654 data_time: 0.0228 memory: 13723 grad_norm: 4.2039 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8386 loss: 1.8386 2022/08/08 19:51:53 - mmengine - INFO - Epoch(train) [10][880/1879] lr: 2.0000e-02 eta: 1 day, 5:10:53 time: 0.5641 data_time: 0.0246 memory: 13723 grad_norm: 4.1684 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9522 loss: 1.9522 2022/08/08 19:52:05 - mmengine - INFO - Epoch(train) [10][900/1879] lr: 2.0000e-02 eta: 1 day, 5:10:30 time: 0.5619 data_time: 0.0248 memory: 13723 grad_norm: 4.1343 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8790 loss: 1.8790 2022/08/08 19:52:16 - mmengine - INFO - Epoch(train) [10][920/1879] lr: 2.0000e-02 eta: 1 day, 5:10:07 time: 0.5625 data_time: 0.0245 memory: 13723 grad_norm: 4.2057 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9274 loss: 1.9274 2022/08/08 19:52:27 - mmengine - INFO - Epoch(train) [10][940/1879] lr: 2.0000e-02 eta: 1 day, 5:09:44 time: 0.5620 data_time: 0.0249 memory: 13723 grad_norm: 4.3382 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9534 loss: 1.9534 2022/08/08 19:52:38 - mmengine - INFO - Epoch(train) [10][960/1879] lr: 2.0000e-02 eta: 1 day, 5:09:21 time: 0.5612 data_time: 0.0259 memory: 13723 grad_norm: 4.2139 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0015 loss: 2.0015 2022/08/08 19:52:50 - mmengine - INFO - Epoch(train) [10][980/1879] lr: 2.0000e-02 eta: 1 day, 5:09:02 time: 0.5826 data_time: 0.0430 memory: 13723 grad_norm: 4.1392 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8822 loss: 1.8822 2022/08/08 19:53:01 - mmengine - INFO - Epoch(train) [10][1000/1879] lr: 2.0000e-02 eta: 1 day, 5:08:38 time: 0.5563 data_time: 0.0224 memory: 13723 grad_norm: 4.1208 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9656 loss: 1.9656 2022/08/08 19:53:12 - mmengine - INFO - Epoch(train) [10][1020/1879] lr: 2.0000e-02 eta: 1 day, 5:08:15 time: 0.5578 data_time: 0.0252 memory: 13723 grad_norm: 4.1447 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8150 loss: 1.8150 2022/08/08 19:53:24 - mmengine - INFO - Epoch(train) [10][1040/1879] lr: 2.0000e-02 eta: 1 day, 5:07:54 time: 0.5718 data_time: 0.0236 memory: 13723 grad_norm: 4.2432 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1822 loss: 2.1822 2022/08/08 19:53:35 - mmengine - INFO - Epoch(train) [10][1060/1879] lr: 2.0000e-02 eta: 1 day, 5:07:32 time: 0.5667 data_time: 0.0217 memory: 13723 grad_norm: 4.1625 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9621 loss: 1.9621 2022/08/08 19:53:46 - mmengine - INFO - Epoch(train) [10][1080/1879] lr: 2.0000e-02 eta: 1 day, 5:07:10 time: 0.5678 data_time: 0.0247 memory: 13723 grad_norm: 4.2255 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9315 loss: 1.9315 2022/08/08 19:53:51 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 19:53:58 - mmengine - INFO - Epoch(train) [10][1100/1879] lr: 2.0000e-02 eta: 1 day, 5:06:48 time: 0.5648 data_time: 0.0261 memory: 13723 grad_norm: 4.1237 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8692 loss: 1.8692 2022/08/08 19:54:09 - mmengine - INFO - Epoch(train) [10][1120/1879] lr: 2.0000e-02 eta: 1 day, 5:06:27 time: 0.5686 data_time: 0.0238 memory: 13723 grad_norm: 4.1904 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0053 loss: 2.0053 2022/08/08 19:54:20 - mmengine - INFO - Epoch(train) [10][1140/1879] lr: 2.0000e-02 eta: 1 day, 5:06:05 time: 0.5694 data_time: 0.0235 memory: 13723 grad_norm: 4.1930 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8669 loss: 1.8669 2022/08/08 19:54:32 - mmengine - INFO - Epoch(train) [10][1160/1879] lr: 2.0000e-02 eta: 1 day, 5:05:43 time: 0.5613 data_time: 0.0237 memory: 13723 grad_norm: 4.2883 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7229 loss: 1.7229 2022/08/08 19:54:43 - mmengine - INFO - Epoch(train) [10][1180/1879] lr: 2.0000e-02 eta: 1 day, 5:05:20 time: 0.5641 data_time: 0.0245 memory: 13723 grad_norm: 4.0999 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9788 loss: 1.9788 2022/08/08 19:54:54 - mmengine - INFO - Epoch(train) [10][1200/1879] lr: 2.0000e-02 eta: 1 day, 5:04:57 time: 0.5601 data_time: 0.0258 memory: 13723 grad_norm: 4.1473 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9410 loss: 1.9410 2022/08/08 19:55:05 - mmengine - INFO - Epoch(train) [10][1220/1879] lr: 2.0000e-02 eta: 1 day, 5:04:34 time: 0.5562 data_time: 0.0198 memory: 13723 grad_norm: 4.2139 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9684 loss: 1.9684 2022/08/08 19:55:19 - mmengine - INFO - Epoch(train) [10][1240/1879] lr: 2.0000e-02 eta: 1 day, 5:04:30 time: 0.6635 data_time: 0.0239 memory: 13723 grad_norm: 4.1732 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9514 loss: 1.9514 2022/08/08 19:55:30 - mmengine - INFO - Epoch(train) [10][1260/1879] lr: 2.0000e-02 eta: 1 day, 5:04:11 time: 0.5802 data_time: 0.0231 memory: 13723 grad_norm: 4.2692 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1486 loss: 2.1486 2022/08/08 19:55:43 - mmengine - INFO - Epoch(train) [10][1280/1879] lr: 2.0000e-02 eta: 1 day, 5:04:01 time: 0.6266 data_time: 0.0265 memory: 13723 grad_norm: 4.1614 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.0541 loss: 2.0541 2022/08/08 19:55:54 - mmengine - INFO - Epoch(train) [10][1300/1879] lr: 2.0000e-02 eta: 1 day, 5:03:41 time: 0.5784 data_time: 0.0253 memory: 13723 grad_norm: 4.1645 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9044 loss: 1.9044 2022/08/08 19:56:06 - mmengine - INFO - Epoch(train) [10][1320/1879] lr: 2.0000e-02 eta: 1 day, 5:03:24 time: 0.5898 data_time: 0.0209 memory: 13723 grad_norm: 4.0737 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8685 loss: 1.8685 2022/08/08 19:56:17 - mmengine - INFO - Epoch(train) [10][1340/1879] lr: 2.0000e-02 eta: 1 day, 5:03:03 time: 0.5681 data_time: 0.0233 memory: 13723 grad_norm: 4.2414 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9455 loss: 1.9455 2022/08/08 19:56:29 - mmengine - INFO - Epoch(train) [10][1360/1879] lr: 2.0000e-02 eta: 1 day, 5:02:45 time: 0.5897 data_time: 0.0462 memory: 13723 grad_norm: 4.1536 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7518 loss: 1.7518 2022/08/08 19:56:40 - mmengine - INFO - Epoch(train) [10][1380/1879] lr: 2.0000e-02 eta: 1 day, 5:02:23 time: 0.5631 data_time: 0.0236 memory: 13723 grad_norm: 4.1631 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6561 loss: 1.6561 2022/08/08 19:56:52 - mmengine - INFO - Epoch(train) [10][1400/1879] lr: 2.0000e-02 eta: 1 day, 5:02:01 time: 0.5627 data_time: 0.0220 memory: 13723 grad_norm: 4.0999 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8950 loss: 1.8950 2022/08/08 19:57:03 - mmengine - INFO - Epoch(train) [10][1420/1879] lr: 2.0000e-02 eta: 1 day, 5:01:39 time: 0.5659 data_time: 0.0241 memory: 13723 grad_norm: 4.1080 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1556 loss: 2.1556 2022/08/08 19:57:14 - mmengine - INFO - Epoch(train) [10][1440/1879] lr: 2.0000e-02 eta: 1 day, 5:01:16 time: 0.5594 data_time: 0.0230 memory: 13723 grad_norm: 4.1291 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8581 loss: 1.8581 2022/08/08 19:57:25 - mmengine - INFO - Epoch(train) [10][1460/1879] lr: 2.0000e-02 eta: 1 day, 5:00:54 time: 0.5603 data_time: 0.0248 memory: 13723 grad_norm: 4.2136 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8696 loss: 1.8696 2022/08/08 19:57:37 - mmengine - INFO - Epoch(train) [10][1480/1879] lr: 2.0000e-02 eta: 1 day, 5:00:31 time: 0.5599 data_time: 0.0230 memory: 13723 grad_norm: 4.1623 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1074 loss: 2.1074 2022/08/08 19:57:48 - mmengine - INFO - Epoch(train) [10][1500/1879] lr: 2.0000e-02 eta: 1 day, 5:00:11 time: 0.5752 data_time: 0.0296 memory: 13723 grad_norm: 4.0230 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7716 loss: 1.7716 2022/08/08 19:58:00 - mmengine - INFO - Epoch(train) [10][1520/1879] lr: 2.0000e-02 eta: 1 day, 4:59:54 time: 0.5873 data_time: 0.0251 memory: 13723 grad_norm: 4.0649 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.7602 loss: 1.7602 2022/08/08 19:58:11 - mmengine - INFO - Epoch(train) [10][1540/1879] lr: 2.0000e-02 eta: 1 day, 4:59:33 time: 0.5695 data_time: 0.0232 memory: 13723 grad_norm: 4.1683 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1393 loss: 2.1393 2022/08/08 19:58:22 - mmengine - INFO - Epoch(train) [10][1560/1879] lr: 2.0000e-02 eta: 1 day, 4:59:10 time: 0.5605 data_time: 0.0229 memory: 13723 grad_norm: 4.0774 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9921 loss: 1.9921 2022/08/08 19:58:34 - mmengine - INFO - Epoch(train) [10][1580/1879] lr: 2.0000e-02 eta: 1 day, 4:58:50 time: 0.5721 data_time: 0.0242 memory: 13723 grad_norm: 4.1538 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9873 loss: 1.9873 2022/08/08 19:58:45 - mmengine - INFO - Epoch(train) [10][1600/1879] lr: 2.0000e-02 eta: 1 day, 4:58:30 time: 0.5770 data_time: 0.0225 memory: 13723 grad_norm: 4.1015 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7431 loss: 1.7431 2022/08/08 19:58:57 - mmengine - INFO - Epoch(train) [10][1620/1879] lr: 2.0000e-02 eta: 1 day, 4:58:10 time: 0.5690 data_time: 0.0232 memory: 13723 grad_norm: 4.0957 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0141 loss: 2.0141 2022/08/08 19:59:08 - mmengine - INFO - Epoch(train) [10][1640/1879] lr: 2.0000e-02 eta: 1 day, 4:57:48 time: 0.5663 data_time: 0.0224 memory: 13723 grad_norm: 4.1832 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.1586 loss: 2.1586 2022/08/08 19:59:19 - mmengine - INFO - Epoch(train) [10][1660/1879] lr: 2.0000e-02 eta: 1 day, 4:57:26 time: 0.5640 data_time: 0.0237 memory: 13723 grad_norm: 4.1051 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0225 loss: 2.0225 2022/08/08 19:59:31 - mmengine - INFO - Epoch(train) [10][1680/1879] lr: 2.0000e-02 eta: 1 day, 4:57:05 time: 0.5665 data_time: 0.0240 memory: 13723 grad_norm: 4.1585 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7232 loss: 1.7232 2022/08/08 19:59:42 - mmengine - INFO - Epoch(train) [10][1700/1879] lr: 2.0000e-02 eta: 1 day, 4:56:44 time: 0.5675 data_time: 0.0233 memory: 13723 grad_norm: 4.3232 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0007 loss: 2.0007 2022/08/08 19:59:53 - mmengine - INFO - Epoch(train) [10][1720/1879] lr: 2.0000e-02 eta: 1 day, 4:56:22 time: 0.5622 data_time: 0.0233 memory: 13723 grad_norm: 4.2072 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0593 loss: 2.0593 2022/08/08 20:00:05 - mmengine - INFO - Epoch(train) [10][1740/1879] lr: 2.0000e-02 eta: 1 day, 4:56:02 time: 0.5725 data_time: 0.0242 memory: 13723 grad_norm: 4.0021 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8625 loss: 1.8625 2022/08/08 20:00:16 - mmengine - INFO - Epoch(train) [10][1760/1879] lr: 2.0000e-02 eta: 1 day, 4:55:40 time: 0.5602 data_time: 0.0222 memory: 13723 grad_norm: 4.1611 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8086 loss: 1.8086 2022/08/08 20:00:28 - mmengine - INFO - Epoch(train) [10][1780/1879] lr: 2.0000e-02 eta: 1 day, 4:55:26 time: 0.6084 data_time: 0.0249 memory: 13723 grad_norm: 4.1022 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9222 loss: 1.9222 2022/08/08 20:00:40 - mmengine - INFO - Epoch(train) [10][1800/1879] lr: 2.0000e-02 eta: 1 day, 4:55:09 time: 0.5879 data_time: 0.0265 memory: 13723 grad_norm: 4.2013 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8097 loss: 1.8097 2022/08/08 20:00:52 - mmengine - INFO - Epoch(train) [10][1820/1879] lr: 2.0000e-02 eta: 1 day, 4:54:51 time: 0.5845 data_time: 0.0266 memory: 13723 grad_norm: 4.0590 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9766 loss: 1.9766 2022/08/08 20:01:04 - mmengine - INFO - Epoch(train) [10][1840/1879] lr: 2.0000e-02 eta: 1 day, 4:54:34 time: 0.5921 data_time: 0.0276 memory: 13723 grad_norm: 4.2476 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9725 loss: 1.9725 2022/08/08 20:01:15 - mmengine - INFO - Epoch(train) [10][1860/1879] lr: 2.0000e-02 eta: 1 day, 4:54:17 time: 0.5893 data_time: 0.0200 memory: 13723 grad_norm: 4.1351 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9865 loss: 1.9865 2022/08/08 20:01:25 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 20:01:25 - mmengine - INFO - Epoch(train) [10][1879/1879] lr: 2.0000e-02 eta: 1 day, 4:54:17 time: 0.5275 data_time: 0.0165 memory: 13723 grad_norm: 4.1790 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.9376 loss: 1.9376 2022/08/08 20:01:38 - mmengine - INFO - Epoch(val) [10][20/155] eta: 0:01:28 time: 0.6556 data_time: 0.5146 memory: 1829 2022/08/08 20:01:49 - mmengine - INFO - Epoch(val) [10][40/155] eta: 0:01:00 time: 0.5273 data_time: 0.3881 memory: 1829 2022/08/08 20:01:59 - mmengine - INFO - Epoch(val) [10][60/155] eta: 0:00:48 time: 0.5150 data_time: 0.3753 memory: 1829 2022/08/08 20:02:09 - mmengine - INFO - Epoch(val) [10][80/155] eta: 0:00:36 time: 0.4827 data_time: 0.3408 memory: 1829 2022/08/08 20:02:21 - mmengine - INFO - Epoch(val) [10][100/155] eta: 0:00:33 time: 0.6129 data_time: 0.4728 memory: 1829 2022/08/08 20:02:31 - mmengine - INFO - Epoch(val) [10][120/155] eta: 0:00:17 time: 0.4976 data_time: 0.3582 memory: 1829 2022/08/08 20:02:43 - mmengine - INFO - Epoch(val) [10][140/155] eta: 0:00:08 time: 0.5785 data_time: 0.4394 memory: 1829 2022/08/08 20:02:51 - mmengine - INFO - Epoch(val) [10][155/155] acc/top1: 0.5368 acc/top5: 0.7886 acc/mean1: 0.5365 2022/08/08 20:03:07 - mmengine - INFO - Epoch(train) [11][20/1879] lr: 2.0000e-02 eta: 1 day, 4:52:44 time: 0.8111 data_time: 0.2185 memory: 13723 grad_norm: 3.9900 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7334 loss: 1.7334 2022/08/08 20:03:20 - mmengine - INFO - Epoch(train) [11][40/1879] lr: 2.0000e-02 eta: 1 day, 4:52:37 time: 0.6440 data_time: 0.0624 memory: 13723 grad_norm: 4.1056 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9614 loss: 1.9614 2022/08/08 20:03:31 - mmengine - INFO - Epoch(train) [11][60/1879] lr: 2.0000e-02 eta: 1 day, 4:52:18 time: 0.5788 data_time: 0.0246 memory: 13723 grad_norm: 4.1285 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.9513 loss: 1.9513 2022/08/08 20:03:45 - mmengine - INFO - Epoch(train) [11][80/1879] lr: 2.0000e-02 eta: 1 day, 4:52:13 time: 0.6560 data_time: 0.1094 memory: 13723 grad_norm: 4.0702 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9073 loss: 1.9073 2022/08/08 20:03:57 - mmengine - INFO - Epoch(train) [11][100/1879] lr: 2.0000e-02 eta: 1 day, 4:52:02 time: 0.6210 data_time: 0.0643 memory: 13723 grad_norm: 4.1375 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9206 loss: 1.9206 2022/08/08 20:04:08 - mmengine - INFO - Epoch(train) [11][120/1879] lr: 2.0000e-02 eta: 1 day, 4:51:42 time: 0.5727 data_time: 0.0177 memory: 13723 grad_norm: 4.0837 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8239 loss: 1.8239 2022/08/08 20:04:20 - mmengine - INFO - Epoch(train) [11][140/1879] lr: 2.0000e-02 eta: 1 day, 4:51:23 time: 0.5760 data_time: 0.0229 memory: 13723 grad_norm: 4.0785 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9327 loss: 1.9327 2022/08/08 20:04:31 - mmengine - INFO - Epoch(train) [11][160/1879] lr: 2.0000e-02 eta: 1 day, 4:51:02 time: 0.5686 data_time: 0.0246 memory: 13723 grad_norm: 4.1406 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9446 loss: 1.9446 2022/08/08 20:04:43 - mmengine - INFO - Epoch(train) [11][180/1879] lr: 2.0000e-02 eta: 1 day, 4:50:43 time: 0.5755 data_time: 0.0220 memory: 13723 grad_norm: 4.0831 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7988 loss: 1.7988 2022/08/08 20:04:54 - mmengine - INFO - Epoch(train) [11][200/1879] lr: 2.0000e-02 eta: 1 day, 4:50:22 time: 0.5643 data_time: 0.0232 memory: 13723 grad_norm: 4.1125 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9854 loss: 1.9854 2022/08/08 20:05:00 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 20:05:06 - mmengine - INFO - Epoch(train) [11][220/1879] lr: 2.0000e-02 eta: 1 day, 4:50:01 time: 0.5667 data_time: 0.0194 memory: 13723 grad_norm: 4.0758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7338 loss: 1.7338 2022/08/08 20:05:18 - mmengine - INFO - Epoch(train) [11][240/1879] lr: 2.0000e-02 eta: 1 day, 4:49:46 time: 0.6014 data_time: 0.0223 memory: 13723 grad_norm: 4.0220 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0276 loss: 2.0276 2022/08/08 20:05:29 - mmengine - INFO - Epoch(train) [11][260/1879] lr: 2.0000e-02 eta: 1 day, 4:49:28 time: 0.5839 data_time: 0.0256 memory: 13723 grad_norm: 4.0783 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9227 loss: 1.9227 2022/08/08 20:05:41 - mmengine - INFO - Epoch(train) [11][280/1879] lr: 2.0000e-02 eta: 1 day, 4:49:14 time: 0.6028 data_time: 0.0243 memory: 13723 grad_norm: 4.0806 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6736 loss: 1.6736 2022/08/08 20:05:53 - mmengine - INFO - Epoch(train) [11][300/1879] lr: 2.0000e-02 eta: 1 day, 4:48:58 time: 0.5955 data_time: 0.0423 memory: 13723 grad_norm: 4.1943 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2258 loss: 2.2258 2022/08/08 20:06:05 - mmengine - INFO - Epoch(train) [11][320/1879] lr: 2.0000e-02 eta: 1 day, 4:48:38 time: 0.5717 data_time: 0.0228 memory: 13723 grad_norm: 4.0006 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9667 loss: 1.9667 2022/08/08 20:06:16 - mmengine - INFO - Epoch(train) [11][340/1879] lr: 2.0000e-02 eta: 1 day, 4:48:19 time: 0.5732 data_time: 0.0243 memory: 13723 grad_norm: 3.9882 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1252 loss: 2.1252 2022/08/08 20:06:27 - mmengine - INFO - Epoch(train) [11][360/1879] lr: 2.0000e-02 eta: 1 day, 4:47:59 time: 0.5689 data_time: 0.0248 memory: 13723 grad_norm: 4.1120 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0116 loss: 2.0116 2022/08/08 20:06:39 - mmengine - INFO - Epoch(train) [11][380/1879] lr: 2.0000e-02 eta: 1 day, 4:47:39 time: 0.5746 data_time: 0.0281 memory: 13723 grad_norm: 4.0741 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9147 loss: 1.9147 2022/08/08 20:06:50 - mmengine - INFO - Epoch(train) [11][400/1879] lr: 2.0000e-02 eta: 1 day, 4:47:18 time: 0.5643 data_time: 0.0220 memory: 13723 grad_norm: 4.2170 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0029 loss: 2.0029 2022/08/08 20:07:02 - mmengine - INFO - Epoch(train) [11][420/1879] lr: 2.0000e-02 eta: 1 day, 4:46:58 time: 0.5693 data_time: 0.0237 memory: 13723 grad_norm: 4.2685 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8123 loss: 1.8123 2022/08/08 20:07:13 - mmengine - INFO - Epoch(train) [11][440/1879] lr: 2.0000e-02 eta: 1 day, 4:46:37 time: 0.5622 data_time: 0.0240 memory: 13723 grad_norm: 4.0336 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8606 loss: 1.8606 2022/08/08 20:07:25 - mmengine - INFO - Epoch(train) [11][460/1879] lr: 2.0000e-02 eta: 1 day, 4:46:25 time: 0.6207 data_time: 0.0211 memory: 13723 grad_norm: 3.9785 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0041 loss: 2.0041 2022/08/08 20:07:36 - mmengine - INFO - Epoch(train) [11][480/1879] lr: 2.0000e-02 eta: 1 day, 4:46:03 time: 0.5584 data_time: 0.0217 memory: 13723 grad_norm: 3.9373 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8335 loss: 1.8335 2022/08/08 20:07:48 - mmengine - INFO - Epoch(train) [11][500/1879] lr: 2.0000e-02 eta: 1 day, 4:45:43 time: 0.5681 data_time: 0.0266 memory: 13723 grad_norm: 4.0579 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7654 loss: 1.7654 2022/08/08 20:08:00 - mmengine - INFO - Epoch(train) [11][520/1879] lr: 2.0000e-02 eta: 1 day, 4:45:26 time: 0.5884 data_time: 0.0292 memory: 13723 grad_norm: 4.0274 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1225 loss: 2.1225 2022/08/08 20:08:11 - mmengine - INFO - Epoch(train) [11][540/1879] lr: 2.0000e-02 eta: 1 day, 4:45:07 time: 0.5743 data_time: 0.0423 memory: 13723 grad_norm: 4.0963 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8789 loss: 1.8789 2022/08/08 20:08:22 - mmengine - INFO - Epoch(train) [11][560/1879] lr: 2.0000e-02 eta: 1 day, 4:44:46 time: 0.5663 data_time: 0.0239 memory: 13723 grad_norm: 4.1374 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.7987 loss: 1.7987 2022/08/08 20:08:34 - mmengine - INFO - Epoch(train) [11][580/1879] lr: 2.0000e-02 eta: 1 day, 4:44:25 time: 0.5613 data_time: 0.0227 memory: 13723 grad_norm: 4.0296 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7916 loss: 1.7916 2022/08/08 20:08:45 - mmengine - INFO - Epoch(train) [11][600/1879] lr: 2.0000e-02 eta: 1 day, 4:44:04 time: 0.5651 data_time: 0.0236 memory: 13723 grad_norm: 4.1303 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8230 loss: 1.8230 2022/08/08 20:08:56 - mmengine - INFO - Epoch(train) [11][620/1879] lr: 2.0000e-02 eta: 1 day, 4:43:44 time: 0.5664 data_time: 0.0233 memory: 13723 grad_norm: 4.1085 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8070 loss: 1.8070 2022/08/08 20:09:08 - mmengine - INFO - Epoch(train) [11][640/1879] lr: 2.0000e-02 eta: 1 day, 4:43:24 time: 0.5735 data_time: 0.0224 memory: 13723 grad_norm: 4.1058 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0430 loss: 2.0430 2022/08/08 20:09:19 - mmengine - INFO - Epoch(train) [11][660/1879] lr: 2.0000e-02 eta: 1 day, 4:43:05 time: 0.5699 data_time: 0.0248 memory: 13723 grad_norm: 4.1355 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9332 loss: 1.9332 2022/08/08 20:09:30 - mmengine - INFO - Epoch(train) [11][680/1879] lr: 2.0000e-02 eta: 1 day, 4:42:44 time: 0.5651 data_time: 0.0252 memory: 13723 grad_norm: 4.0724 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9606 loss: 1.9606 2022/08/08 20:09:42 - mmengine - INFO - Epoch(train) [11][700/1879] lr: 2.0000e-02 eta: 1 day, 4:42:24 time: 0.5678 data_time: 0.0250 memory: 13723 grad_norm: 4.1241 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0863 loss: 2.0863 2022/08/08 20:09:53 - mmengine - INFO - Epoch(train) [11][720/1879] lr: 2.0000e-02 eta: 1 day, 4:42:03 time: 0.5638 data_time: 0.0242 memory: 13723 grad_norm: 4.1456 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.0514 loss: 2.0514 2022/08/08 20:10:04 - mmengine - INFO - Epoch(train) [11][740/1879] lr: 2.0000e-02 eta: 1 day, 4:41:41 time: 0.5605 data_time: 0.0237 memory: 13723 grad_norm: 4.0178 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7746 loss: 1.7746 2022/08/08 20:10:16 - mmengine - INFO - Epoch(train) [11][760/1879] lr: 2.0000e-02 eta: 1 day, 4:41:22 time: 0.5725 data_time: 0.0238 memory: 13723 grad_norm: 4.0024 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7534 loss: 1.7534 2022/08/08 20:10:27 - mmengine - INFO - Epoch(train) [11][780/1879] lr: 2.0000e-02 eta: 1 day, 4:41:03 time: 0.5754 data_time: 0.0273 memory: 13723 grad_norm: 4.1112 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8837 loss: 1.8837 2022/08/08 20:10:39 - mmengine - INFO - Epoch(train) [11][800/1879] lr: 2.0000e-02 eta: 1 day, 4:40:46 time: 0.5864 data_time: 0.0268 memory: 13723 grad_norm: 4.0621 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0754 loss: 2.0754 2022/08/08 20:10:50 - mmengine - INFO - Epoch(train) [11][820/1879] lr: 2.0000e-02 eta: 1 day, 4:40:27 time: 0.5719 data_time: 0.0221 memory: 13723 grad_norm: 4.0350 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8815 loss: 1.8815 2022/08/08 20:11:02 - mmengine - INFO - Epoch(train) [11][840/1879] lr: 2.0000e-02 eta: 1 day, 4:40:06 time: 0.5662 data_time: 0.0232 memory: 13723 grad_norm: 3.9624 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9587 loss: 1.9587 2022/08/08 20:11:13 - mmengine - INFO - Epoch(train) [11][860/1879] lr: 2.0000e-02 eta: 1 day, 4:39:45 time: 0.5577 data_time: 0.0235 memory: 13723 grad_norm: 4.1136 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9599 loss: 1.9599 2022/08/08 20:11:24 - mmengine - INFO - Epoch(train) [11][880/1879] lr: 2.0000e-02 eta: 1 day, 4:39:23 time: 0.5587 data_time: 0.0239 memory: 13723 grad_norm: 4.1462 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9768 loss: 1.9768 2022/08/08 20:11:35 - mmengine - INFO - Epoch(train) [11][900/1879] lr: 2.0000e-02 eta: 1 day, 4:39:02 time: 0.5623 data_time: 0.0233 memory: 13723 grad_norm: 4.0996 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0739 loss: 2.0739 2022/08/08 20:11:47 - mmengine - INFO - Epoch(train) [11][920/1879] lr: 2.0000e-02 eta: 1 day, 4:38:42 time: 0.5664 data_time: 0.0235 memory: 13723 grad_norm: 4.0492 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0218 loss: 2.0218 2022/08/08 20:11:58 - mmengine - INFO - Epoch(train) [11][940/1879] lr: 2.0000e-02 eta: 1 day, 4:38:21 time: 0.5610 data_time: 0.0238 memory: 13723 grad_norm: 4.0422 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0944 loss: 2.0944 2022/08/08 20:12:09 - mmengine - INFO - Epoch(train) [11][960/1879] lr: 2.0000e-02 eta: 1 day, 4:38:00 time: 0.5659 data_time: 0.0233 memory: 13723 grad_norm: 3.9998 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7394 loss: 1.7394 2022/08/08 20:12:24 - mmengine - INFO - Epoch(train) [11][980/1879] lr: 2.0000e-02 eta: 1 day, 4:38:10 time: 0.7401 data_time: 0.0216 memory: 13723 grad_norm: 4.0085 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9552 loss: 1.9552 2022/08/08 20:12:35 - mmengine - INFO - Epoch(train) [11][1000/1879] lr: 2.0000e-02 eta: 1 day, 4:37:49 time: 0.5627 data_time: 0.0237 memory: 13723 grad_norm: 4.0134 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9020 loss: 1.9020 2022/08/08 20:12:47 - mmengine - INFO - Epoch(train) [11][1020/1879] lr: 2.0000e-02 eta: 1 day, 4:37:28 time: 0.5614 data_time: 0.0237 memory: 13723 grad_norm: 3.9718 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7638 loss: 1.7638 2022/08/08 20:12:58 - mmengine - INFO - Epoch(train) [11][1040/1879] lr: 2.0000e-02 eta: 1 day, 4:37:08 time: 0.5664 data_time: 0.0252 memory: 13723 grad_norm: 4.1236 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8195 loss: 1.8195 2022/08/08 20:13:09 - mmengine - INFO - Epoch(train) [11][1060/1879] lr: 2.0000e-02 eta: 1 day, 4:36:47 time: 0.5640 data_time: 0.0258 memory: 13723 grad_norm: 4.0916 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8937 loss: 1.8937 2022/08/08 20:13:20 - mmengine - INFO - Epoch(train) [11][1080/1879] lr: 2.0000e-02 eta: 1 day, 4:36:26 time: 0.5622 data_time: 0.0246 memory: 13723 grad_norm: 4.0477 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7997 loss: 1.7997 2022/08/08 20:13:32 - mmengine - INFO - Epoch(train) [11][1100/1879] lr: 2.0000e-02 eta: 1 day, 4:36:06 time: 0.5638 data_time: 0.0271 memory: 13723 grad_norm: 3.9976 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9267 loss: 1.9267 2022/08/08 20:13:43 - mmengine - INFO - Epoch(train) [11][1120/1879] lr: 2.0000e-02 eta: 1 day, 4:35:46 time: 0.5701 data_time: 0.0245 memory: 13723 grad_norm: 3.9997 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8286 loss: 1.8286 2022/08/08 20:13:55 - mmengine - INFO - Epoch(train) [11][1140/1879] lr: 2.0000e-02 eta: 1 day, 4:35:28 time: 0.5750 data_time: 0.0229 memory: 13723 grad_norm: 4.1581 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8328 loss: 1.8328 2022/08/08 20:14:07 - mmengine - INFO - Epoch(train) [11][1160/1879] lr: 2.0000e-02 eta: 1 day, 4:35:15 time: 0.6109 data_time: 0.0207 memory: 13723 grad_norm: 3.9819 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8625 loss: 1.8625 2022/08/08 20:14:18 - mmengine - INFO - Epoch(train) [11][1180/1879] lr: 2.0000e-02 eta: 1 day, 4:34:56 time: 0.5744 data_time: 0.0228 memory: 13723 grad_norm: 3.9279 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7308 loss: 1.7308 2022/08/08 20:14:30 - mmengine - INFO - Epoch(train) [11][1200/1879] lr: 2.0000e-02 eta: 1 day, 4:34:38 time: 0.5775 data_time: 0.0265 memory: 13723 grad_norm: 3.9523 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0395 loss: 2.0395 2022/08/08 20:14:36 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 20:14:41 - mmengine - INFO - Epoch(train) [11][1220/1879] lr: 2.0000e-02 eta: 1 day, 4:34:20 time: 0.5794 data_time: 0.0235 memory: 13723 grad_norm: 4.0081 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7114 loss: 1.7114 2022/08/08 20:14:53 - mmengine - INFO - Epoch(train) [11][1240/1879] lr: 2.0000e-02 eta: 1 day, 4:34:00 time: 0.5622 data_time: 0.0232 memory: 13723 grad_norm: 4.0496 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.0325 loss: 2.0325 2022/08/08 20:15:04 - mmengine - INFO - Epoch(train) [11][1260/1879] lr: 2.0000e-02 eta: 1 day, 4:33:41 time: 0.5766 data_time: 0.0246 memory: 13723 grad_norm: 4.0165 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9199 loss: 1.9199 2022/08/08 20:15:16 - mmengine - INFO - Epoch(train) [11][1280/1879] lr: 2.0000e-02 eta: 1 day, 4:33:26 time: 0.5931 data_time: 0.0554 memory: 13723 grad_norm: 4.0511 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7512 loss: 1.7512 2022/08/08 20:15:28 - mmengine - INFO - Epoch(train) [11][1300/1879] lr: 2.0000e-02 eta: 1 day, 4:33:08 time: 0.5760 data_time: 0.0263 memory: 13723 grad_norm: 4.0916 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7993 loss: 1.7993 2022/08/08 20:15:40 - mmengine - INFO - Epoch(train) [11][1320/1879] lr: 2.0000e-02 eta: 1 day, 4:32:53 time: 0.5992 data_time: 0.0206 memory: 13723 grad_norm: 3.9509 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0060 loss: 2.0060 2022/08/08 20:15:51 - mmengine - INFO - Epoch(train) [11][1340/1879] lr: 2.0000e-02 eta: 1 day, 4:32:35 time: 0.5762 data_time: 0.0247 memory: 13723 grad_norm: 3.9592 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9887 loss: 1.9887 2022/08/08 20:16:02 - mmengine - INFO - Epoch(train) [11][1360/1879] lr: 2.0000e-02 eta: 1 day, 4:32:14 time: 0.5631 data_time: 0.0239 memory: 13723 grad_norm: 3.9934 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5348 loss: 1.5348 2022/08/08 20:16:14 - mmengine - INFO - Epoch(train) [11][1380/1879] lr: 2.0000e-02 eta: 1 day, 4:31:55 time: 0.5714 data_time: 0.0238 memory: 13723 grad_norm: 4.1359 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0975 loss: 2.0975 2022/08/08 20:16:25 - mmengine - INFO - Epoch(train) [11][1400/1879] lr: 2.0000e-02 eta: 1 day, 4:31:35 time: 0.5677 data_time: 0.0248 memory: 13723 grad_norm: 4.0269 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9505 loss: 1.9505 2022/08/08 20:16:38 - mmengine - INFO - Epoch(train) [11][1420/1879] lr: 2.0000e-02 eta: 1 day, 4:31:29 time: 0.6463 data_time: 0.0959 memory: 13723 grad_norm: 3.9900 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9018 loss: 1.9018 2022/08/08 20:16:50 - mmengine - INFO - Epoch(train) [11][1440/1879] lr: 2.0000e-02 eta: 1 day, 4:31:10 time: 0.5712 data_time: 0.0172 memory: 13723 grad_norm: 4.0313 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9081 loss: 1.9081 2022/08/08 20:17:01 - mmengine - INFO - Epoch(train) [11][1460/1879] lr: 2.0000e-02 eta: 1 day, 4:30:50 time: 0.5681 data_time: 0.0219 memory: 13723 grad_norm: 3.9833 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8451 loss: 1.8451 2022/08/08 20:17:13 - mmengine - INFO - Epoch(train) [11][1480/1879] lr: 2.0000e-02 eta: 1 day, 4:30:36 time: 0.5982 data_time: 0.0372 memory: 13723 grad_norm: 4.0174 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9873 loss: 1.9873 2022/08/08 20:17:24 - mmengine - INFO - Epoch(train) [11][1500/1879] lr: 2.0000e-02 eta: 1 day, 4:30:16 time: 0.5702 data_time: 0.0237 memory: 13723 grad_norm: 4.0489 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0268 loss: 2.0268 2022/08/08 20:17:36 - mmengine - INFO - Epoch(train) [11][1520/1879] lr: 2.0000e-02 eta: 1 day, 4:29:58 time: 0.5753 data_time: 0.0209 memory: 13723 grad_norm: 3.9214 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9502 loss: 1.9502 2022/08/08 20:17:47 - mmengine - INFO - Epoch(train) [11][1540/1879] lr: 2.0000e-02 eta: 1 day, 4:29:40 time: 0.5759 data_time: 0.0236 memory: 13723 grad_norm: 4.0651 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8555 loss: 1.8555 2022/08/08 20:18:00 - mmengine - INFO - Epoch(train) [11][1560/1879] lr: 2.0000e-02 eta: 1 day, 4:29:29 time: 0.6218 data_time: 0.0407 memory: 13723 grad_norm: 3.9904 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7531 loss: 1.7531 2022/08/08 20:18:11 - mmengine - INFO - Epoch(train) [11][1580/1879] lr: 2.0000e-02 eta: 1 day, 4:29:10 time: 0.5712 data_time: 0.0211 memory: 13723 grad_norm: 4.0762 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8251 loss: 1.8251 2022/08/08 20:18:23 - mmengine - INFO - Epoch(train) [11][1600/1879] lr: 2.0000e-02 eta: 1 day, 4:28:54 time: 0.5878 data_time: 0.0238 memory: 13723 grad_norm: 3.9135 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9786 loss: 1.9786 2022/08/08 20:18:34 - mmengine - INFO - Epoch(train) [11][1620/1879] lr: 2.0000e-02 eta: 1 day, 4:28:35 time: 0.5710 data_time: 0.0232 memory: 13723 grad_norm: 4.0023 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7130 loss: 1.7130 2022/08/08 20:18:46 - mmengine - INFO - Epoch(train) [11][1640/1879] lr: 2.0000e-02 eta: 1 day, 4:28:16 time: 0.5689 data_time: 0.0241 memory: 13723 grad_norm: 4.0228 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9338 loss: 1.9338 2022/08/08 20:18:57 - mmengine - INFO - Epoch(train) [11][1660/1879] lr: 2.0000e-02 eta: 1 day, 4:27:57 time: 0.5730 data_time: 0.0231 memory: 13723 grad_norm: 4.1149 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9204 loss: 1.9204 2022/08/08 20:19:09 - mmengine - INFO - Epoch(train) [11][1680/1879] lr: 2.0000e-02 eta: 1 day, 4:27:37 time: 0.5656 data_time: 0.0235 memory: 13723 grad_norm: 4.2035 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9084 loss: 1.9084 2022/08/08 20:19:20 - mmengine - INFO - Epoch(train) [11][1700/1879] lr: 2.0000e-02 eta: 1 day, 4:27:17 time: 0.5640 data_time: 0.0241 memory: 13723 grad_norm: 3.9624 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8651 loss: 1.8651 2022/08/08 20:19:31 - mmengine - INFO - Epoch(train) [11][1720/1879] lr: 2.0000e-02 eta: 1 day, 4:26:59 time: 0.5743 data_time: 0.0219 memory: 13723 grad_norm: 3.9466 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7662 loss: 1.7662 2022/08/08 20:19:43 - mmengine - INFO - Epoch(train) [11][1740/1879] lr: 2.0000e-02 eta: 1 day, 4:26:43 time: 0.5904 data_time: 0.0222 memory: 13723 grad_norm: 4.0531 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9901 loss: 1.9901 2022/08/08 20:19:55 - mmengine - INFO - Epoch(train) [11][1760/1879] lr: 2.0000e-02 eta: 1 day, 4:26:24 time: 0.5692 data_time: 0.0230 memory: 13723 grad_norm: 4.0503 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8794 loss: 1.8794 2022/08/08 20:20:07 - mmengine - INFO - Epoch(train) [11][1780/1879] lr: 2.0000e-02 eta: 1 day, 4:26:11 time: 0.6107 data_time: 0.0239 memory: 13723 grad_norm: 4.1282 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9571 loss: 1.9571 2022/08/08 20:20:21 - mmengine - INFO - Epoch(train) [11][1800/1879] lr: 2.0000e-02 eta: 1 day, 4:26:19 time: 0.7312 data_time: 0.0733 memory: 13723 grad_norm: 3.9701 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0325 loss: 2.0325 2022/08/08 20:20:34 - mmengine - INFO - Epoch(train) [11][1820/1879] lr: 2.0000e-02 eta: 1 day, 4:26:08 time: 0.6244 data_time: 0.0236 memory: 13723 grad_norm: 4.1458 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0037 loss: 2.0037 2022/08/08 20:20:45 - mmengine - INFO - Epoch(train) [11][1840/1879] lr: 2.0000e-02 eta: 1 day, 4:25:50 time: 0.5732 data_time: 0.0239 memory: 13723 grad_norm: 3.9657 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0292 loss: 2.0292 2022/08/08 20:20:57 - mmengine - INFO - Epoch(train) [11][1860/1879] lr: 2.0000e-02 eta: 1 day, 4:25:30 time: 0.5651 data_time: 0.0241 memory: 13723 grad_norm: 3.8884 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9671 loss: 1.9671 2022/08/08 20:21:07 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 20:21:07 - mmengine - INFO - Epoch(train) [11][1879/1879] lr: 2.0000e-02 eta: 1 day, 4:25:30 time: 0.5304 data_time: 0.0176 memory: 13723 grad_norm: 4.0355 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.0181 loss: 2.0181 2022/08/08 20:21:20 - mmengine - INFO - Epoch(val) [11][20/155] eta: 0:01:30 time: 0.6712 data_time: 0.5305 memory: 1829 2022/08/08 20:21:29 - mmengine - INFO - Epoch(val) [11][40/155] eta: 0:00:52 time: 0.4533 data_time: 0.3125 memory: 1829 2022/08/08 20:21:42 - mmengine - INFO - Epoch(val) [11][60/155] eta: 0:01:00 time: 0.6406 data_time: 0.5015 memory: 1829 2022/08/08 20:21:53 - mmengine - INFO - Epoch(val) [11][80/155] eta: 0:00:41 time: 0.5571 data_time: 0.4179 memory: 1829 2022/08/08 20:22:05 - mmengine - INFO - Epoch(val) [11][100/155] eta: 0:00:32 time: 0.5992 data_time: 0.4544 memory: 1829 2022/08/08 20:22:14 - mmengine - INFO - Epoch(val) [11][120/155] eta: 0:00:15 time: 0.4524 data_time: 0.3141 memory: 1829 2022/08/08 20:22:27 - mmengine - INFO - Epoch(val) [11][140/155] eta: 0:00:09 time: 0.6315 data_time: 0.4926 memory: 1829 2022/08/08 20:22:36 - mmengine - INFO - Epoch(val) [11][155/155] acc/top1: 0.5550 acc/top5: 0.8098 acc/mean1: 0.5548 2022/08/08 20:22:36 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_10.pth is removed 2022/08/08 20:22:38 - mmengine - INFO - The best checkpoint with 0.5550 acc/top1 at 12 epoch is saved to best_acc/top1_epoch_12.pth. 2022/08/08 20:22:55 - mmengine - INFO - Epoch(train) [12][20/1879] lr: 2.0000e-02 eta: 1 day, 4:24:14 time: 0.8728 data_time: 0.3276 memory: 13723 grad_norm: 3.9744 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8161 loss: 1.8161 2022/08/08 20:23:07 - mmengine - INFO - Epoch(train) [12][40/1879] lr: 2.0000e-02 eta: 1 day, 4:23:59 time: 0.5917 data_time: 0.0480 memory: 13723 grad_norm: 4.0185 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8045 loss: 1.8045 2022/08/08 20:23:20 - mmengine - INFO - Epoch(train) [12][60/1879] lr: 2.0000e-02 eta: 1 day, 4:23:49 time: 0.6248 data_time: 0.0227 memory: 13723 grad_norm: 4.1306 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8209 loss: 1.8209 2022/08/08 20:23:31 - mmengine - INFO - Epoch(train) [12][80/1879] lr: 2.0000e-02 eta: 1 day, 4:23:31 time: 0.5765 data_time: 0.0191 memory: 13723 grad_norm: 4.0320 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8141 loss: 1.8141 2022/08/08 20:23:43 - mmengine - INFO - Epoch(train) [12][100/1879] lr: 2.0000e-02 eta: 1 day, 4:23:13 time: 0.5722 data_time: 0.0235 memory: 13723 grad_norm: 3.9131 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8103 loss: 1.8103 2022/08/08 20:23:54 - mmengine - INFO - Epoch(train) [12][120/1879] lr: 2.0000e-02 eta: 1 day, 4:22:54 time: 0.5702 data_time: 0.0242 memory: 13723 grad_norm: 4.0590 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9480 loss: 1.9480 2022/08/08 20:24:05 - mmengine - INFO - Epoch(train) [12][140/1879] lr: 2.0000e-02 eta: 1 day, 4:22:34 time: 0.5651 data_time: 0.0233 memory: 13723 grad_norm: 3.9184 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.7227 loss: 1.7227 2022/08/08 20:24:17 - mmengine - INFO - Epoch(train) [12][160/1879] lr: 2.0000e-02 eta: 1 day, 4:22:19 time: 0.5928 data_time: 0.0557 memory: 13723 grad_norm: 3.9291 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7468 loss: 1.7468 2022/08/08 20:24:29 - mmengine - INFO - Epoch(train) [12][180/1879] lr: 2.0000e-02 eta: 1 day, 4:21:59 time: 0.5634 data_time: 0.0235 memory: 13723 grad_norm: 3.9346 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7043 loss: 1.7043 2022/08/08 20:24:40 - mmengine - INFO - Epoch(train) [12][200/1879] lr: 2.0000e-02 eta: 1 day, 4:21:39 time: 0.5638 data_time: 0.0233 memory: 13723 grad_norm: 3.9614 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7699 loss: 1.7699 2022/08/08 20:24:51 - mmengine - INFO - Epoch(train) [12][220/1879] lr: 2.0000e-02 eta: 1 day, 4:21:20 time: 0.5663 data_time: 0.0229 memory: 13723 grad_norm: 3.9005 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.7199 loss: 1.7199 2022/08/08 20:25:03 - mmengine - INFO - Epoch(train) [12][240/1879] lr: 2.0000e-02 eta: 1 day, 4:21:02 time: 0.5783 data_time: 0.0238 memory: 13723 grad_norm: 4.0018 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9623 loss: 1.9623 2022/08/08 20:25:23 - mmengine - INFO - Epoch(train) [12][260/1879] lr: 2.0000e-02 eta: 1 day, 4:21:58 time: 1.0377 data_time: 0.0193 memory: 13723 grad_norm: 3.8517 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5675 loss: 1.5675 2022/08/08 20:25:35 - mmengine - INFO - Epoch(train) [12][280/1879] lr: 2.0000e-02 eta: 1 day, 4:21:43 time: 0.5963 data_time: 0.0209 memory: 13723 grad_norm: 4.0002 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8199 loss: 1.8199 2022/08/08 20:25:48 - mmengine - INFO - Epoch(train) [12][300/1879] lr: 2.0000e-02 eta: 1 day, 4:21:34 time: 0.6303 data_time: 0.0712 memory: 13723 grad_norm: 3.9972 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8983 loss: 1.8983 2022/08/08 20:26:00 - mmengine - INFO - Epoch(train) [12][320/1879] lr: 2.0000e-02 eta: 1 day, 4:21:20 time: 0.6012 data_time: 0.0187 memory: 13723 grad_norm: 4.0901 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8662 loss: 1.8662 2022/08/08 20:26:06 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 20:26:12 - mmengine - INFO - Epoch(train) [12][340/1879] lr: 2.0000e-02 eta: 1 day, 4:21:03 time: 0.5819 data_time: 0.0236 memory: 13723 grad_norm: 4.0191 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.7497 loss: 1.7497 2022/08/08 20:26:23 - mmengine - INFO - Epoch(train) [12][360/1879] lr: 2.0000e-02 eta: 1 day, 4:20:47 time: 0.5837 data_time: 0.0265 memory: 13723 grad_norm: 3.9957 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6959 loss: 1.6959 2022/08/08 20:26:35 - mmengine - INFO - Epoch(train) [12][380/1879] lr: 2.0000e-02 eta: 1 day, 4:20:28 time: 0.5736 data_time: 0.0255 memory: 13723 grad_norm: 4.0022 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8289 loss: 1.8289 2022/08/08 20:26:46 - mmengine - INFO - Epoch(train) [12][400/1879] lr: 2.0000e-02 eta: 1 day, 4:20:09 time: 0.5660 data_time: 0.0225 memory: 13723 grad_norm: 3.9783 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8801 loss: 1.8801 2022/08/08 20:26:58 - mmengine - INFO - Epoch(train) [12][420/1879] lr: 2.0000e-02 eta: 1 day, 4:19:50 time: 0.5709 data_time: 0.0229 memory: 13723 grad_norm: 3.9174 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8142 loss: 1.8142 2022/08/08 20:27:09 - mmengine - INFO - Epoch(train) [12][440/1879] lr: 2.0000e-02 eta: 1 day, 4:19:32 time: 0.5721 data_time: 0.0237 memory: 13723 grad_norm: 3.8788 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5960 loss: 1.5960 2022/08/08 20:27:21 - mmengine - INFO - Epoch(train) [12][460/1879] lr: 2.0000e-02 eta: 1 day, 4:19:15 time: 0.5807 data_time: 0.0248 memory: 13723 grad_norm: 3.9369 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8432 loss: 1.8432 2022/08/08 20:27:34 - mmengine - INFO - Epoch(train) [12][480/1879] lr: 2.0000e-02 eta: 1 day, 4:19:08 time: 0.6488 data_time: 0.0212 memory: 13723 grad_norm: 4.1007 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7904 loss: 1.7904 2022/08/08 20:27:49 - mmengine - INFO - Epoch(train) [12][500/1879] lr: 2.0000e-02 eta: 1 day, 4:19:23 time: 0.7820 data_time: 0.0180 memory: 13723 grad_norm: 3.9673 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9683 loss: 1.9683 2022/08/08 20:28:01 - mmengine - INFO - Epoch(train) [12][520/1879] lr: 2.0000e-02 eta: 1 day, 4:19:05 time: 0.5736 data_time: 0.0267 memory: 13723 grad_norm: 4.1045 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9188 loss: 1.9188 2022/08/08 20:28:16 - mmengine - INFO - Epoch(train) [12][540/1879] lr: 2.0000e-02 eta: 1 day, 4:19:19 time: 0.7802 data_time: 0.0194 memory: 13723 grad_norm: 3.9555 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6508 loss: 1.6508 2022/08/08 20:28:30 - mmengine - INFO - Epoch(train) [12][560/1879] lr: 2.0000e-02 eta: 1 day, 4:19:18 time: 0.6817 data_time: 0.0227 memory: 13723 grad_norm: 4.0033 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8759 loss: 1.8759 2022/08/08 20:28:44 - mmengine - INFO - Epoch(train) [12][580/1879] lr: 2.0000e-02 eta: 1 day, 4:19:22 time: 0.7139 data_time: 0.1682 memory: 13723 grad_norm: 3.9405 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7440 loss: 1.7440 2022/08/08 20:28:57 - mmengine - INFO - Epoch(train) [12][600/1879] lr: 2.0000e-02 eta: 1 day, 4:19:10 time: 0.6138 data_time: 0.0204 memory: 13723 grad_norm: 4.1805 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9471 loss: 1.9471 2022/08/08 20:29:11 - mmengine - INFO - Epoch(train) [12][620/1879] lr: 2.0000e-02 eta: 1 day, 4:19:14 time: 0.7169 data_time: 0.0211 memory: 13723 grad_norm: 4.0571 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8256 loss: 1.8256 2022/08/08 20:29:22 - mmengine - INFO - Epoch(train) [12][640/1879] lr: 2.0000e-02 eta: 1 day, 4:18:55 time: 0.5703 data_time: 0.0200 memory: 13723 grad_norm: 3.9958 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0285 loss: 2.0285 2022/08/08 20:29:34 - mmengine - INFO - Epoch(train) [12][660/1879] lr: 2.0000e-02 eta: 1 day, 4:18:37 time: 0.5717 data_time: 0.0246 memory: 13723 grad_norm: 3.8923 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1095 loss: 2.1095 2022/08/08 20:29:45 - mmengine - INFO - Epoch(train) [12][680/1879] lr: 2.0000e-02 eta: 1 day, 4:18:18 time: 0.5736 data_time: 0.0255 memory: 13723 grad_norm: 3.9312 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7707 loss: 1.7707 2022/08/08 20:29:57 - mmengine - INFO - Epoch(train) [12][700/1879] lr: 2.0000e-02 eta: 1 day, 4:18:00 time: 0.5716 data_time: 0.0240 memory: 13723 grad_norm: 3.9162 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7227 loss: 1.7227 2022/08/08 20:30:08 - mmengine - INFO - Epoch(train) [12][720/1879] lr: 2.0000e-02 eta: 1 day, 4:17:42 time: 0.5756 data_time: 0.0195 memory: 13723 grad_norm: 3.9918 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7300 loss: 1.7300 2022/08/08 20:30:21 - mmengine - INFO - Epoch(train) [12][740/1879] lr: 2.0000e-02 eta: 1 day, 4:17:35 time: 0.6435 data_time: 0.0255 memory: 13723 grad_norm: 3.9345 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7544 loss: 1.7544 2022/08/08 20:30:33 - mmengine - INFO - Epoch(train) [12][760/1879] lr: 2.0000e-02 eta: 1 day, 4:17:21 time: 0.6006 data_time: 0.0203 memory: 13723 grad_norm: 3.9806 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7839 loss: 1.7839 2022/08/08 20:30:45 - mmengine - INFO - Epoch(train) [12][780/1879] lr: 2.0000e-02 eta: 1 day, 4:17:04 time: 0.5809 data_time: 0.0250 memory: 13723 grad_norm: 4.0721 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8978 loss: 1.8978 2022/08/08 20:30:57 - mmengine - INFO - Epoch(train) [12][800/1879] lr: 2.0000e-02 eta: 1 day, 4:16:51 time: 0.6074 data_time: 0.0206 memory: 13723 grad_norm: 3.9907 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9920 loss: 1.9920 2022/08/08 20:31:08 - mmengine - INFO - Epoch(train) [12][820/1879] lr: 2.0000e-02 eta: 1 day, 4:16:32 time: 0.5714 data_time: 0.0212 memory: 13723 grad_norm: 3.9904 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8473 loss: 1.8473 2022/08/08 20:31:20 - mmengine - INFO - Epoch(train) [12][840/1879] lr: 2.0000e-02 eta: 1 day, 4:16:15 time: 0.5749 data_time: 0.0211 memory: 13723 grad_norm: 4.0371 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 1.7199 loss: 1.7199 2022/08/08 20:31:32 - mmengine - INFO - Epoch(train) [12][860/1879] lr: 2.0000e-02 eta: 1 day, 4:15:59 time: 0.5917 data_time: 0.0217 memory: 13723 grad_norm: 4.0025 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7240 loss: 1.7240 2022/08/08 20:31:43 - mmengine - INFO - Epoch(train) [12][880/1879] lr: 2.0000e-02 eta: 1 day, 4:15:44 time: 0.5893 data_time: 0.0231 memory: 13723 grad_norm: 4.1429 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6552 loss: 1.6552 2022/08/08 20:31:58 - mmengine - INFO - Epoch(train) [12][900/1879] lr: 2.0000e-02 eta: 1 day, 4:15:47 time: 0.7120 data_time: 0.0178 memory: 13723 grad_norm: 4.0809 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9334 loss: 1.9334 2022/08/08 20:32:09 - mmengine - INFO - Epoch(train) [12][920/1879] lr: 2.0000e-02 eta: 1 day, 4:15:28 time: 0.5666 data_time: 0.0222 memory: 13723 grad_norm: 4.0344 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0500 loss: 2.0500 2022/08/08 20:32:20 - mmengine - INFO - Epoch(train) [12][940/1879] lr: 2.0000e-02 eta: 1 day, 4:15:09 time: 0.5731 data_time: 0.0234 memory: 13723 grad_norm: 3.9733 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9423 loss: 1.9423 2022/08/08 20:32:32 - mmengine - INFO - Epoch(train) [12][960/1879] lr: 2.0000e-02 eta: 1 day, 4:14:53 time: 0.5866 data_time: 0.0220 memory: 13723 grad_norm: 3.9156 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8961 loss: 1.8961 2022/08/08 20:32:44 - mmengine - INFO - Epoch(train) [12][980/1879] lr: 2.0000e-02 eta: 1 day, 4:14:36 time: 0.5794 data_time: 0.0264 memory: 13723 grad_norm: 3.9549 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7864 loss: 1.7864 2022/08/08 20:32:56 - mmengine - INFO - Epoch(train) [12][1000/1879] lr: 2.0000e-02 eta: 1 day, 4:14:22 time: 0.5977 data_time: 0.0208 memory: 13723 grad_norm: 4.0438 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8974 loss: 1.8974 2022/08/08 20:33:07 - mmengine - INFO - Epoch(train) [12][1020/1879] lr: 2.0000e-02 eta: 1 day, 4:14:03 time: 0.5689 data_time: 0.0217 memory: 13723 grad_norm: 4.0214 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8207 loss: 1.8207 2022/08/08 20:33:19 - mmengine - INFO - Epoch(train) [12][1040/1879] lr: 2.0000e-02 eta: 1 day, 4:13:45 time: 0.5769 data_time: 0.0228 memory: 13723 grad_norm: 4.0219 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7995 loss: 1.7995 2022/08/08 20:33:30 - mmengine - INFO - Epoch(train) [12][1060/1879] lr: 2.0000e-02 eta: 1 day, 4:13:27 time: 0.5688 data_time: 0.0214 memory: 13723 grad_norm: 3.9262 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7455 loss: 1.7455 2022/08/08 20:33:42 - mmengine - INFO - Epoch(train) [12][1080/1879] lr: 2.0000e-02 eta: 1 day, 4:13:10 time: 0.5843 data_time: 0.0236 memory: 13723 grad_norm: 3.9834 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8485 loss: 1.8485 2022/08/08 20:33:54 - mmengine - INFO - Epoch(train) [12][1100/1879] lr: 2.0000e-02 eta: 1 day, 4:12:56 time: 0.5945 data_time: 0.0481 memory: 13723 grad_norm: 3.9624 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8170 loss: 1.8170 2022/08/08 20:34:05 - mmengine - INFO - Epoch(train) [12][1120/1879] lr: 2.0000e-02 eta: 1 day, 4:12:36 time: 0.5619 data_time: 0.0213 memory: 13723 grad_norm: 3.9793 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7861 loss: 1.7861 2022/08/08 20:34:16 - mmengine - INFO - Epoch(train) [12][1140/1879] lr: 2.0000e-02 eta: 1 day, 4:12:19 time: 0.5798 data_time: 0.0234 memory: 13723 grad_norm: 3.8924 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7617 loss: 1.7617 2022/08/08 20:34:29 - mmengine - INFO - Epoch(train) [12][1160/1879] lr: 2.0000e-02 eta: 1 day, 4:12:09 time: 0.6253 data_time: 0.0201 memory: 13723 grad_norm: 3.9651 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0539 loss: 2.0539 2022/08/08 20:34:41 - mmengine - INFO - Epoch(train) [12][1180/1879] lr: 2.0000e-02 eta: 1 day, 4:11:51 time: 0.5781 data_time: 0.0234 memory: 13723 grad_norm: 3.9874 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7914 loss: 1.7914 2022/08/08 20:34:53 - mmengine - INFO - Epoch(train) [12][1200/1879] lr: 2.0000e-02 eta: 1 day, 4:11:44 time: 0.6447 data_time: 0.0190 memory: 13723 grad_norm: 3.9687 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8030 loss: 1.8030 2022/08/08 20:35:05 - mmengine - INFO - Epoch(train) [12][1220/1879] lr: 2.0000e-02 eta: 1 day, 4:11:29 time: 0.5944 data_time: 0.0222 memory: 13723 grad_norm: 3.9350 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7811 loss: 1.7811 2022/08/08 20:35:24 - mmengine - INFO - Epoch(train) [12][1240/1879] lr: 2.0000e-02 eta: 1 day, 4:12:05 time: 0.9241 data_time: 0.0687 memory: 13723 grad_norm: 3.8834 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8840 loss: 1.8840 2022/08/08 20:35:35 - mmengine - INFO - Epoch(train) [12][1260/1879] lr: 2.0000e-02 eta: 1 day, 4:11:47 time: 0.5735 data_time: 0.0224 memory: 13723 grad_norm: 3.9545 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7126 loss: 1.7126 2022/08/08 20:35:47 - mmengine - INFO - Epoch(train) [12][1280/1879] lr: 2.0000e-02 eta: 1 day, 4:11:28 time: 0.5716 data_time: 0.0234 memory: 13723 grad_norm: 3.9616 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7448 loss: 1.7448 2022/08/08 20:35:58 - mmengine - INFO - Epoch(train) [12][1300/1879] lr: 2.0000e-02 eta: 1 day, 4:11:12 time: 0.5864 data_time: 0.0234 memory: 13723 grad_norm: 3.9786 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8883 loss: 1.8883 2022/08/08 20:36:11 - mmengine - INFO - Epoch(train) [12][1320/1879] lr: 2.0000e-02 eta: 1 day, 4:11:01 time: 0.6170 data_time: 0.0212 memory: 13723 grad_norm: 3.9069 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9102 loss: 1.9102 2022/08/08 20:36:17 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 20:36:22 - mmengine - INFO - Epoch(train) [12][1340/1879] lr: 2.0000e-02 eta: 1 day, 4:10:42 time: 0.5653 data_time: 0.0246 memory: 13723 grad_norm: 4.0321 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7297 loss: 1.7297 2022/08/08 20:36:33 - mmengine - INFO - Epoch(train) [12][1360/1879] lr: 2.0000e-02 eta: 1 day, 4:10:23 time: 0.5679 data_time: 0.0224 memory: 13723 grad_norm: 4.0215 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7702 loss: 1.7702 2022/08/08 20:36:45 - mmengine - INFO - Epoch(train) [12][1380/1879] lr: 2.0000e-02 eta: 1 day, 4:10:04 time: 0.5645 data_time: 0.0232 memory: 13723 grad_norm: 3.9157 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9384 loss: 1.9384 2022/08/08 20:36:58 - mmengine - INFO - Epoch(train) [12][1400/1879] lr: 2.0000e-02 eta: 1 day, 4:10:02 time: 0.6802 data_time: 0.0223 memory: 13723 grad_norm: 3.9182 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8548 loss: 1.8548 2022/08/08 20:37:12 - mmengine - INFO - Epoch(train) [12][1420/1879] lr: 2.0000e-02 eta: 1 day, 4:10:01 time: 0.6899 data_time: 0.0210 memory: 13723 grad_norm: 3.9130 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7990 loss: 1.7990 2022/08/08 20:37:24 - mmengine - INFO - Epoch(train) [12][1440/1879] lr: 2.0000e-02 eta: 1 day, 4:09:46 time: 0.5915 data_time: 0.0203 memory: 13723 grad_norm: 3.9997 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7758 loss: 1.7758 2022/08/08 20:37:38 - mmengine - INFO - Epoch(train) [12][1460/1879] lr: 2.0000e-02 eta: 1 day, 4:09:47 time: 0.7006 data_time: 0.0190 memory: 13723 grad_norm: 4.0938 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7160 loss: 1.7160 2022/08/08 20:37:55 - mmengine - INFO - Epoch(train) [12][1480/1879] lr: 2.0000e-02 eta: 1 day, 4:10:10 time: 0.8470 data_time: 0.0179 memory: 13723 grad_norm: 3.9407 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9632 loss: 1.9632 2022/08/08 20:38:06 - mmengine - INFO - Epoch(train) [12][1500/1879] lr: 2.0000e-02 eta: 1 day, 4:09:51 time: 0.5633 data_time: 0.0217 memory: 13723 grad_norm: 3.9313 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8106 loss: 1.8106 2022/08/08 20:38:18 - mmengine - INFO - Epoch(train) [12][1520/1879] lr: 2.0000e-02 eta: 1 day, 4:09:34 time: 0.5857 data_time: 0.0232 memory: 13723 grad_norm: 3.9644 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6502 loss: 1.6502 2022/08/08 20:38:29 - mmengine - INFO - Epoch(train) [12][1540/1879] lr: 2.0000e-02 eta: 1 day, 4:09:16 time: 0.5731 data_time: 0.0236 memory: 13723 grad_norm: 3.9985 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9764 loss: 1.9764 2022/08/08 20:38:41 - mmengine - INFO - Epoch(train) [12][1560/1879] lr: 2.0000e-02 eta: 1 day, 4:09:02 time: 0.5974 data_time: 0.0232 memory: 13723 grad_norm: 3.9938 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8782 loss: 1.8782 2022/08/08 20:38:53 - mmengine - INFO - Epoch(train) [12][1580/1879] lr: 2.0000e-02 eta: 1 day, 4:08:44 time: 0.5733 data_time: 0.0212 memory: 13723 grad_norm: 3.9828 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8152 loss: 1.8152 2022/08/08 20:39:05 - mmengine - INFO - Epoch(train) [12][1600/1879] lr: 2.0000e-02 eta: 1 day, 4:08:29 time: 0.5928 data_time: 0.0242 memory: 13723 grad_norm: 3.9916 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0178 loss: 2.0178 2022/08/08 20:39:16 - mmengine - INFO - Epoch(train) [12][1620/1879] lr: 2.0000e-02 eta: 1 day, 4:08:10 time: 0.5679 data_time: 0.0238 memory: 13723 grad_norm: 3.9740 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7328 loss: 1.7328 2022/08/08 20:39:30 - mmengine - INFO - Epoch(train) [12][1640/1879] lr: 2.0000e-02 eta: 1 day, 4:08:06 time: 0.6634 data_time: 0.0207 memory: 13723 grad_norm: 3.9453 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8527 loss: 1.8527 2022/08/08 20:39:41 - mmengine - INFO - Epoch(train) [12][1660/1879] lr: 2.0000e-02 eta: 1 day, 4:07:51 time: 0.5919 data_time: 0.0377 memory: 13723 grad_norm: 3.9470 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8081 loss: 1.8081 2022/08/08 20:39:54 - mmengine - INFO - Epoch(train) [12][1680/1879] lr: 2.0000e-02 eta: 1 day, 4:07:40 time: 0.6197 data_time: 0.0207 memory: 13723 grad_norm: 3.8963 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8252 loss: 1.8252 2022/08/08 20:40:10 - mmengine - INFO - Epoch(train) [12][1700/1879] lr: 2.0000e-02 eta: 1 day, 4:07:57 time: 0.8106 data_time: 0.0211 memory: 13723 grad_norm: 3.9569 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8890 loss: 1.8890 2022/08/08 20:40:24 - mmengine - INFO - Epoch(train) [12][1720/1879] lr: 2.0000e-02 eta: 1 day, 4:08:02 time: 0.7327 data_time: 0.0225 memory: 13723 grad_norm: 4.0434 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8226 loss: 1.8226 2022/08/08 20:40:37 - mmengine - INFO - Epoch(train) [12][1740/1879] lr: 2.0000e-02 eta: 1 day, 4:07:54 time: 0.6380 data_time: 0.0240 memory: 13723 grad_norm: 3.9171 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8909 loss: 1.8909 2022/08/08 20:40:49 - mmengine - INFO - Epoch(train) [12][1760/1879] lr: 2.0000e-02 eta: 1 day, 4:07:38 time: 0.5893 data_time: 0.0195 memory: 13723 grad_norm: 3.8932 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8897 loss: 1.8897 2022/08/08 20:41:00 - mmengine - INFO - Epoch(train) [12][1780/1879] lr: 2.0000e-02 eta: 1 day, 4:07:20 time: 0.5733 data_time: 0.0251 memory: 13723 grad_norm: 4.0226 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0060 loss: 2.0060 2022/08/08 20:41:12 - mmengine - INFO - Epoch(train) [12][1800/1879] lr: 2.0000e-02 eta: 1 day, 4:07:02 time: 0.5720 data_time: 0.0220 memory: 13723 grad_norm: 3.9071 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7841 loss: 1.7841 2022/08/08 20:41:23 - mmengine - INFO - Epoch(train) [12][1820/1879] lr: 2.0000e-02 eta: 1 day, 4:06:45 time: 0.5747 data_time: 0.0220 memory: 13723 grad_norm: 3.9137 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6336 loss: 1.6336 2022/08/08 20:41:35 - mmengine - INFO - Epoch(train) [12][1840/1879] lr: 2.0000e-02 eta: 1 day, 4:06:31 time: 0.5989 data_time: 0.0222 memory: 13723 grad_norm: 3.9985 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9421 loss: 1.9421 2022/08/08 20:41:47 - mmengine - INFO - Epoch(train) [12][1860/1879] lr: 2.0000e-02 eta: 1 day, 4:06:13 time: 0.5767 data_time: 0.0230 memory: 13723 grad_norm: 3.9133 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8835 loss: 1.8835 2022/08/08 20:42:00 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 20:42:00 - mmengine - INFO - Epoch(train) [12][1879/1879] lr: 2.0000e-02 eta: 1 day, 4:06:13 time: 0.6737 data_time: 0.0137 memory: 13723 grad_norm: 3.9417 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.8695 loss: 1.8695 2022/08/08 20:42:00 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/08/08 20:42:17 - mmengine - INFO - Epoch(val) [12][20/155] eta: 0:01:47 time: 0.7983 data_time: 0.6583 memory: 1829 2022/08/08 20:42:27 - mmengine - INFO - Epoch(val) [12][40/155] eta: 0:00:54 time: 0.4772 data_time: 0.3399 memory: 1829 2022/08/08 20:42:39 - mmengine - INFO - Epoch(val) [12][60/155] eta: 0:00:55 time: 0.5851 data_time: 0.4453 memory: 1829 2022/08/08 20:42:50 - mmengine - INFO - Epoch(val) [12][80/155] eta: 0:00:44 time: 0.5893 data_time: 0.4514 memory: 1829 2022/08/08 20:43:02 - mmengine - INFO - Epoch(val) [12][100/155] eta: 0:00:31 time: 0.5775 data_time: 0.4381 memory: 1829 2022/08/08 20:43:14 - mmengine - INFO - Epoch(val) [12][120/155] eta: 0:00:20 time: 0.5924 data_time: 0.4514 memory: 1829 2022/08/08 20:43:27 - mmengine - INFO - Epoch(val) [12][140/155] eta: 0:00:09 time: 0.6379 data_time: 0.5020 memory: 1829 2022/08/08 20:43:37 - mmengine - INFO - Epoch(val) [12][155/155] acc/top1: 0.5608 acc/top5: 0.8070 acc/mean1: 0.5606 2022/08/08 20:43:37 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_12.pth is removed 2022/08/08 20:43:38 - mmengine - INFO - The best checkpoint with 0.5608 acc/top1 at 13 epoch is saved to best_acc/top1_epoch_13.pth. 2022/08/08 20:43:53 - mmengine - INFO - Epoch(train) [13][20/1879] lr: 2.0000e-02 eta: 1 day, 4:04:47 time: 0.7649 data_time: 0.2128 memory: 13723 grad_norm: 3.8229 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9644 loss: 1.9644 2022/08/08 20:44:06 - mmengine - INFO - Epoch(train) [13][40/1879] lr: 2.0000e-02 eta: 1 day, 4:04:39 time: 0.6465 data_time: 0.0209 memory: 13723 grad_norm: 3.8902 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7998 loss: 1.7998 2022/08/08 20:44:18 - mmengine - INFO - Epoch(train) [13][60/1879] lr: 2.0000e-02 eta: 1 day, 4:04:21 time: 0.5718 data_time: 0.0222 memory: 13723 grad_norm: 3.9159 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7844 loss: 1.7844 2022/08/08 20:44:29 - mmengine - INFO - Epoch(train) [13][80/1879] lr: 2.0000e-02 eta: 1 day, 4:04:03 time: 0.5711 data_time: 0.0239 memory: 13723 grad_norm: 3.9787 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8018 loss: 1.8018 2022/08/08 20:44:41 - mmengine - INFO - Epoch(train) [13][100/1879] lr: 2.0000e-02 eta: 1 day, 4:03:45 time: 0.5705 data_time: 0.0257 memory: 13723 grad_norm: 3.9724 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7954 loss: 1.7954 2022/08/08 20:44:52 - mmengine - INFO - Epoch(train) [13][120/1879] lr: 2.0000e-02 eta: 1 day, 4:03:28 time: 0.5804 data_time: 0.0224 memory: 13723 grad_norm: 3.9420 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7321 loss: 1.7321 2022/08/08 20:45:04 - mmengine - INFO - Epoch(train) [13][140/1879] lr: 2.0000e-02 eta: 1 day, 4:03:12 time: 0.5811 data_time: 0.0277 memory: 13723 grad_norm: 3.9831 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8887 loss: 1.8887 2022/08/08 20:45:17 - mmengine - INFO - Epoch(train) [13][160/1879] lr: 2.0000e-02 eta: 1 day, 4:03:05 time: 0.6500 data_time: 0.0203 memory: 13723 grad_norm: 3.8818 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8450 loss: 1.8450 2022/08/08 20:45:30 - mmengine - INFO - Epoch(train) [13][180/1879] lr: 2.0000e-02 eta: 1 day, 4:03:00 time: 0.6581 data_time: 0.0251 memory: 13723 grad_norm: 3.8772 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6982 loss: 1.6982 2022/08/08 20:45:42 - mmengine - INFO - Epoch(train) [13][200/1879] lr: 2.0000e-02 eta: 1 day, 4:02:44 time: 0.5846 data_time: 0.0206 memory: 13723 grad_norm: 3.8605 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7908 loss: 1.7908 2022/08/08 20:45:53 - mmengine - INFO - Epoch(train) [13][220/1879] lr: 2.0000e-02 eta: 1 day, 4:02:27 time: 0.5834 data_time: 0.0223 memory: 13723 grad_norm: 4.0071 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7173 loss: 1.7173 2022/08/08 20:46:06 - mmengine - INFO - Epoch(train) [13][240/1879] lr: 2.0000e-02 eta: 1 day, 4:02:18 time: 0.6300 data_time: 0.0196 memory: 13723 grad_norm: 3.9333 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9204 loss: 1.9204 2022/08/08 20:46:19 - mmengine - INFO - Epoch(train) [13][260/1879] lr: 2.0000e-02 eta: 1 day, 4:02:13 time: 0.6649 data_time: 0.0194 memory: 13723 grad_norm: 3.9595 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7991 loss: 1.7991 2022/08/08 20:46:32 - mmengine - INFO - Epoch(train) [13][280/1879] lr: 2.0000e-02 eta: 1 day, 4:02:03 time: 0.6216 data_time: 0.0212 memory: 13723 grad_norm: 3.9477 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8665 loss: 1.8665 2022/08/08 20:46:43 - mmengine - INFO - Epoch(train) [13][300/1879] lr: 2.0000e-02 eta: 1 day, 4:01:43 time: 0.5608 data_time: 0.0212 memory: 13723 grad_norm: 4.0505 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9448 loss: 1.9448 2022/08/08 20:46:55 - mmengine - INFO - Epoch(train) [13][320/1879] lr: 2.0000e-02 eta: 1 day, 4:01:27 time: 0.5826 data_time: 0.0229 memory: 13723 grad_norm: 3.9588 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0531 loss: 2.0531 2022/08/08 20:47:06 - mmengine - INFO - Epoch(train) [13][340/1879] lr: 2.0000e-02 eta: 1 day, 4:01:09 time: 0.5736 data_time: 0.0266 memory: 13723 grad_norm: 3.9663 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7289 loss: 1.7289 2022/08/08 20:47:17 - mmengine - INFO - Epoch(train) [13][360/1879] lr: 2.0000e-02 eta: 1 day, 4:00:51 time: 0.5691 data_time: 0.0218 memory: 13723 grad_norm: 3.9059 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7212 loss: 1.7212 2022/08/08 20:47:29 - mmengine - INFO - Epoch(train) [13][380/1879] lr: 2.0000e-02 eta: 1 day, 4:00:33 time: 0.5730 data_time: 0.0257 memory: 13723 grad_norm: 3.8714 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7863 loss: 1.7863 2022/08/08 20:47:40 - mmengine - INFO - Epoch(train) [13][400/1879] lr: 2.0000e-02 eta: 1 day, 4:00:15 time: 0.5702 data_time: 0.0220 memory: 13723 grad_norm: 3.9034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5218 loss: 1.5218 2022/08/08 20:47:52 - mmengine - INFO - Epoch(train) [13][420/1879] lr: 2.0000e-02 eta: 1 day, 4:00:00 time: 0.5902 data_time: 0.0335 memory: 13723 grad_norm: 3.9658 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6848 loss: 1.6848 2022/08/08 20:48:06 - mmengine - INFO - Epoch(train) [13][440/1879] lr: 2.0000e-02 eta: 1 day, 3:59:57 time: 0.6752 data_time: 0.0192 memory: 13723 grad_norm: 4.0813 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8375 loss: 1.8375 2022/08/08 20:48:12 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 20:48:17 - mmengine - INFO - Epoch(train) [13][460/1879] lr: 2.0000e-02 eta: 1 day, 3:59:37 time: 0.5628 data_time: 0.0218 memory: 13723 grad_norm: 3.9427 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8592 loss: 1.8592 2022/08/08 20:48:29 - mmengine - INFO - Epoch(train) [13][480/1879] lr: 2.0000e-02 eta: 1 day, 3:59:26 time: 0.6197 data_time: 0.0220 memory: 13723 grad_norm: 3.9797 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6688 loss: 1.6688 2022/08/08 20:48:41 - mmengine - INFO - Epoch(train) [13][500/1879] lr: 2.0000e-02 eta: 1 day, 3:59:11 time: 0.5852 data_time: 0.0212 memory: 13723 grad_norm: 3.9508 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7963 loss: 1.7963 2022/08/08 20:48:54 - mmengine - INFO - Epoch(train) [13][520/1879] lr: 2.0000e-02 eta: 1 day, 3:59:05 time: 0.6583 data_time: 0.0222 memory: 13723 grad_norm: 3.7534 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7342 loss: 1.7342 2022/08/08 20:49:07 - mmengine - INFO - Epoch(train) [13][540/1879] lr: 2.0000e-02 eta: 1 day, 3:58:54 time: 0.6171 data_time: 0.0247 memory: 13723 grad_norm: 4.0145 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8479 loss: 1.8479 2022/08/08 20:49:18 - mmengine - INFO - Epoch(train) [13][560/1879] lr: 2.0000e-02 eta: 1 day, 3:58:37 time: 0.5777 data_time: 0.0198 memory: 13723 grad_norm: 3.9796 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 1.7572 loss: 1.7572 2022/08/08 20:49:30 - mmengine - INFO - Epoch(train) [13][580/1879] lr: 2.0000e-02 eta: 1 day, 3:58:20 time: 0.5787 data_time: 0.0253 memory: 13723 grad_norm: 3.9258 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.8425 loss: 1.8425 2022/08/08 20:49:41 - mmengine - INFO - Epoch(train) [13][600/1879] lr: 2.0000e-02 eta: 1 day, 3:58:02 time: 0.5719 data_time: 0.0216 memory: 13723 grad_norm: 3.9305 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9126 loss: 1.9126 2022/08/08 20:49:53 - mmengine - INFO - Epoch(train) [13][620/1879] lr: 2.0000e-02 eta: 1 day, 3:57:45 time: 0.5771 data_time: 0.0256 memory: 13723 grad_norm: 3.9380 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9057 loss: 1.9057 2022/08/08 20:50:04 - mmengine - INFO - Epoch(train) [13][640/1879] lr: 2.0000e-02 eta: 1 day, 3:57:28 time: 0.5796 data_time: 0.0229 memory: 13723 grad_norm: 3.8284 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8003 loss: 1.8003 2022/08/08 20:50:20 - mmengine - INFO - Epoch(train) [13][660/1879] lr: 2.0000e-02 eta: 1 day, 3:57:39 time: 0.7755 data_time: 0.1832 memory: 13723 grad_norm: 3.9836 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9833 loss: 1.9833 2022/08/08 20:50:33 - mmengine - INFO - Epoch(train) [13][680/1879] lr: 2.0000e-02 eta: 1 day, 3:57:33 time: 0.6548 data_time: 0.0215 memory: 13723 grad_norm: 3.9204 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8002 loss: 1.8002 2022/08/08 20:50:45 - mmengine - INFO - Epoch(train) [13][700/1879] lr: 2.0000e-02 eta: 1 day, 3:57:20 time: 0.6067 data_time: 0.0541 memory: 13723 grad_norm: 3.8181 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7484 loss: 1.7484 2022/08/08 20:50:56 - mmengine - INFO - Epoch(train) [13][720/1879] lr: 2.0000e-02 eta: 1 day, 3:57:03 time: 0.5725 data_time: 0.0218 memory: 13723 grad_norm: 3.9292 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6959 loss: 1.6959 2022/08/08 20:51:08 - mmengine - INFO - Epoch(train) [13][740/1879] lr: 2.0000e-02 eta: 1 day, 3:56:47 time: 0.5870 data_time: 0.0240 memory: 13723 grad_norm: 4.0076 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0378 loss: 2.0378 2022/08/08 20:51:20 - mmengine - INFO - Epoch(train) [13][760/1879] lr: 2.0000e-02 eta: 1 day, 3:56:28 time: 0.5654 data_time: 0.0225 memory: 13723 grad_norm: 3.9942 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6804 loss: 1.6804 2022/08/08 20:51:31 - mmengine - INFO - Epoch(train) [13][780/1879] lr: 2.0000e-02 eta: 1 day, 3:56:12 time: 0.5805 data_time: 0.0264 memory: 13723 grad_norm: 3.9408 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8013 loss: 1.8013 2022/08/08 20:51:44 - mmengine - INFO - Epoch(train) [13][800/1879] lr: 2.0000e-02 eta: 1 day, 3:56:02 time: 0.6254 data_time: 0.0210 memory: 13723 grad_norm: 3.8844 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8349 loss: 1.8349 2022/08/08 20:51:55 - mmengine - INFO - Epoch(train) [13][820/1879] lr: 2.0000e-02 eta: 1 day, 3:55:44 time: 0.5699 data_time: 0.0231 memory: 13723 grad_norm: 4.1028 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9134 loss: 1.9134 2022/08/08 20:52:07 - mmengine - INFO - Epoch(train) [13][840/1879] lr: 2.0000e-02 eta: 1 day, 3:55:26 time: 0.5737 data_time: 0.0229 memory: 13723 grad_norm: 3.9247 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6636 loss: 1.6636 2022/08/08 20:52:20 - mmengine - INFO - Epoch(train) [13][860/1879] lr: 2.0000e-02 eta: 1 day, 3:55:22 time: 0.6700 data_time: 0.0496 memory: 13723 grad_norm: 3.9718 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7480 loss: 1.7480 2022/08/08 20:52:31 - mmengine - INFO - Epoch(train) [13][880/1879] lr: 2.0000e-02 eta: 1 day, 3:55:03 time: 0.5643 data_time: 0.0180 memory: 13723 grad_norm: 3.8651 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8136 loss: 1.8136 2022/08/08 20:52:43 - mmengine - INFO - Epoch(train) [13][900/1879] lr: 2.0000e-02 eta: 1 day, 3:54:46 time: 0.5749 data_time: 0.0232 memory: 13723 grad_norm: 3.8373 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8327 loss: 1.8327 2022/08/08 20:52:54 - mmengine - INFO - Epoch(train) [13][920/1879] lr: 2.0000e-02 eta: 1 day, 3:54:29 time: 0.5788 data_time: 0.0224 memory: 13723 grad_norm: 3.8434 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5570 loss: 1.5570 2022/08/08 20:53:06 - mmengine - INFO - Epoch(train) [13][940/1879] lr: 2.0000e-02 eta: 1 day, 3:54:12 time: 0.5734 data_time: 0.0251 memory: 13723 grad_norm: 4.0495 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7875 loss: 1.7875 2022/08/08 20:53:18 - mmengine - INFO - Epoch(train) [13][960/1879] lr: 2.0000e-02 eta: 1 day, 3:53:57 time: 0.5938 data_time: 0.0223 memory: 13723 grad_norm: 4.0181 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8673 loss: 1.8673 2022/08/08 20:53:29 - mmengine - INFO - Epoch(train) [13][980/1879] lr: 2.0000e-02 eta: 1 day, 3:53:39 time: 0.5672 data_time: 0.0221 memory: 13723 grad_norm: 3.9667 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8753 loss: 1.8753 2022/08/08 20:53:41 - mmengine - INFO - Epoch(train) [13][1000/1879] lr: 2.0000e-02 eta: 1 day, 3:53:22 time: 0.5751 data_time: 0.0207 memory: 13723 grad_norm: 3.8856 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7535 loss: 1.7535 2022/08/08 20:53:52 - mmengine - INFO - Epoch(train) [13][1020/1879] lr: 2.0000e-02 eta: 1 day, 3:53:05 time: 0.5766 data_time: 0.0235 memory: 13723 grad_norm: 3.8446 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7735 loss: 1.7735 2022/08/08 20:54:04 - mmengine - INFO - Epoch(train) [13][1040/1879] lr: 2.0000e-02 eta: 1 day, 3:52:48 time: 0.5754 data_time: 0.0214 memory: 13723 grad_norm: 3.9374 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7974 loss: 1.7974 2022/08/08 20:54:17 - mmengine - INFO - Epoch(train) [13][1060/1879] lr: 2.0000e-02 eta: 1 day, 3:52:46 time: 0.6863 data_time: 0.0225 memory: 13723 grad_norm: 4.0204 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8018 loss: 1.8018 2022/08/08 20:54:29 - mmengine - INFO - Epoch(train) [13][1080/1879] lr: 2.0000e-02 eta: 1 day, 3:52:32 time: 0.5983 data_time: 0.0182 memory: 13723 grad_norm: 3.8810 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8194 loss: 1.8194 2022/08/08 20:54:44 - mmengine - INFO - Epoch(train) [13][1100/1879] lr: 2.0000e-02 eta: 1 day, 3:52:36 time: 0.7307 data_time: 0.0217 memory: 13723 grad_norm: 3.8569 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9132 loss: 1.9132 2022/08/08 20:54:57 - mmengine - INFO - Epoch(train) [13][1120/1879] lr: 2.0000e-02 eta: 1 day, 3:52:33 time: 0.6774 data_time: 0.0211 memory: 13723 grad_norm: 3.9695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8288 loss: 1.8288 2022/08/08 20:55:14 - mmengine - INFO - Epoch(train) [13][1140/1879] lr: 2.0000e-02 eta: 1 day, 3:52:49 time: 0.8137 data_time: 0.0202 memory: 13723 grad_norm: 3.9189 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7902 loss: 1.7902 2022/08/08 20:55:25 - mmengine - INFO - Epoch(train) [13][1160/1879] lr: 2.0000e-02 eta: 1 day, 3:52:31 time: 0.5653 data_time: 0.0223 memory: 13723 grad_norm: 3.7904 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9422 loss: 1.9422 2022/08/08 20:55:36 - mmengine - INFO - Epoch(train) [13][1180/1879] lr: 2.0000e-02 eta: 1 day, 3:52:13 time: 0.5712 data_time: 0.0248 memory: 13723 grad_norm: 3.9135 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5877 loss: 1.5877 2022/08/08 20:55:48 - mmengine - INFO - Epoch(train) [13][1200/1879] lr: 2.0000e-02 eta: 1 day, 3:51:56 time: 0.5791 data_time: 0.0206 memory: 13723 grad_norm: 3.9577 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6154 loss: 1.6154 2022/08/08 20:56:05 - mmengine - INFO - Epoch(train) [13][1220/1879] lr: 2.0000e-02 eta: 1 day, 3:52:19 time: 0.8662 data_time: 0.0209 memory: 13723 grad_norm: 4.0036 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7068 loss: 1.7068 2022/08/08 20:56:17 - mmengine - INFO - Epoch(train) [13][1240/1879] lr: 2.0000e-02 eta: 1 day, 3:52:00 time: 0.5587 data_time: 0.0189 memory: 13723 grad_norm: 4.0409 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6876 loss: 1.6876 2022/08/08 20:56:28 - mmengine - INFO - Epoch(train) [13][1260/1879] lr: 2.0000e-02 eta: 1 day, 3:51:42 time: 0.5751 data_time: 0.0220 memory: 13723 grad_norm: 3.8329 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7738 loss: 1.7738 2022/08/08 20:56:40 - mmengine - INFO - Epoch(train) [13][1280/1879] lr: 2.0000e-02 eta: 1 day, 3:51:27 time: 0.5848 data_time: 0.0242 memory: 13723 grad_norm: 3.8843 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6588 loss: 1.6588 2022/08/08 20:56:51 - mmengine - INFO - Epoch(train) [13][1300/1879] lr: 2.0000e-02 eta: 1 day, 3:51:09 time: 0.5731 data_time: 0.0227 memory: 13723 grad_norm: 3.9199 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8161 loss: 1.8161 2022/08/08 20:57:03 - mmengine - INFO - Epoch(train) [13][1320/1879] lr: 2.0000e-02 eta: 1 day, 3:50:52 time: 0.5734 data_time: 0.0244 memory: 13723 grad_norm: 3.8708 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7838 loss: 1.7838 2022/08/08 20:57:14 - mmengine - INFO - Epoch(train) [13][1340/1879] lr: 2.0000e-02 eta: 1 day, 3:50:34 time: 0.5742 data_time: 0.0227 memory: 13723 grad_norm: 4.0095 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7752 loss: 1.7752 2022/08/08 20:57:27 - mmengine - INFO - Epoch(train) [13][1360/1879] lr: 2.0000e-02 eta: 1 day, 3:50:30 time: 0.6656 data_time: 0.0207 memory: 13723 grad_norm: 3.8368 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7804 loss: 1.7804 2022/08/08 20:57:39 - mmengine - INFO - Epoch(train) [13][1380/1879] lr: 2.0000e-02 eta: 1 day, 3:50:15 time: 0.5933 data_time: 0.0212 memory: 13723 grad_norm: 3.9848 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8478 loss: 1.8478 2022/08/08 20:57:52 - mmengine - INFO - Epoch(train) [13][1400/1879] lr: 2.0000e-02 eta: 1 day, 3:50:06 time: 0.6378 data_time: 0.0213 memory: 13723 grad_norm: 3.9450 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8488 loss: 1.8488 2022/08/08 20:58:06 - mmengine - INFO - Epoch(train) [13][1420/1879] lr: 2.0000e-02 eta: 1 day, 3:50:03 time: 0.6787 data_time: 0.0225 memory: 13723 grad_norm: 3.8605 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7455 loss: 1.7455 2022/08/08 20:58:18 - mmengine - INFO - Epoch(train) [13][1440/1879] lr: 2.0000e-02 eta: 1 day, 3:49:49 time: 0.5924 data_time: 0.0197 memory: 13723 grad_norm: 3.8265 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7673 loss: 1.7673 2022/08/08 20:58:25 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 20:58:29 - mmengine - INFO - Epoch(train) [13][1460/1879] lr: 2.0000e-02 eta: 1 day, 3:49:34 time: 0.5910 data_time: 0.0220 memory: 13723 grad_norm: 3.7874 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9340 loss: 1.9340 2022/08/08 20:58:42 - mmengine - INFO - Epoch(train) [13][1480/1879] lr: 2.0000e-02 eta: 1 day, 3:49:23 time: 0.6255 data_time: 0.0225 memory: 13723 grad_norm: 3.8583 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5982 loss: 1.5982 2022/08/08 20:58:53 - mmengine - INFO - Epoch(train) [13][1500/1879] lr: 2.0000e-02 eta: 1 day, 3:49:06 time: 0.5714 data_time: 0.0229 memory: 13723 grad_norm: 3.8587 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8328 loss: 1.8328 2022/08/08 20:59:05 - mmengine - INFO - Epoch(train) [13][1520/1879] lr: 2.0000e-02 eta: 1 day, 3:48:49 time: 0.5768 data_time: 0.0221 memory: 13723 grad_norm: 3.9670 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8354 loss: 1.8354 2022/08/08 20:59:17 - mmengine - INFO - Epoch(train) [13][1540/1879] lr: 2.0000e-02 eta: 1 day, 3:48:33 time: 0.5821 data_time: 0.0274 memory: 13723 grad_norm: 3.9412 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7731 loss: 1.7731 2022/08/08 20:59:28 - mmengine - INFO - Epoch(train) [13][1560/1879] lr: 2.0000e-02 eta: 1 day, 3:48:17 time: 0.5853 data_time: 0.0346 memory: 13723 grad_norm: 3.9603 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8055 loss: 1.8055 2022/08/08 20:59:40 - mmengine - INFO - Epoch(train) [13][1580/1879] lr: 2.0000e-02 eta: 1 day, 3:47:58 time: 0.5659 data_time: 0.0263 memory: 13723 grad_norm: 3.8710 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9248 loss: 1.9248 2022/08/08 20:59:51 - mmengine - INFO - Epoch(train) [13][1600/1879] lr: 2.0000e-02 eta: 1 day, 3:47:42 time: 0.5811 data_time: 0.0210 memory: 13723 grad_norm: 3.9880 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8792 loss: 1.8792 2022/08/08 21:00:03 - mmengine - INFO - Epoch(train) [13][1620/1879] lr: 2.0000e-02 eta: 1 day, 3:47:26 time: 0.5855 data_time: 0.0337 memory: 13723 grad_norm: 3.8653 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6244 loss: 1.6244 2022/08/08 21:00:20 - mmengine - INFO - Epoch(train) [13][1640/1879] lr: 2.0000e-02 eta: 1 day, 3:47:45 time: 0.8382 data_time: 0.0924 memory: 13723 grad_norm: 4.0127 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6804 loss: 1.6804 2022/08/08 21:00:33 - mmengine - INFO - Epoch(train) [13][1660/1879] lr: 2.0000e-02 eta: 1 day, 3:47:42 time: 0.6802 data_time: 0.0243 memory: 13723 grad_norm: 3.9724 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8817 loss: 1.8817 2022/08/08 21:00:46 - mmengine - INFO - Epoch(train) [13][1680/1879] lr: 2.0000e-02 eta: 1 day, 3:47:33 time: 0.6369 data_time: 0.0195 memory: 13723 grad_norm: 3.9212 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5741 loss: 1.5741 2022/08/08 21:00:58 - mmengine - INFO - Epoch(train) [13][1700/1879] lr: 2.0000e-02 eta: 1 day, 3:47:19 time: 0.5930 data_time: 0.0218 memory: 13723 grad_norm: 3.9076 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7568 loss: 1.7568 2022/08/08 21:01:11 - mmengine - INFO - Epoch(train) [13][1720/1879] lr: 2.0000e-02 eta: 1 day, 3:47:13 time: 0.6568 data_time: 0.0197 memory: 13723 grad_norm: 3.8654 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7075 loss: 1.7075 2022/08/08 21:01:25 - mmengine - INFO - Epoch(train) [13][1740/1879] lr: 2.0000e-02 eta: 1 day, 3:47:11 time: 0.6885 data_time: 0.0212 memory: 13723 grad_norm: 3.9095 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9459 loss: 1.9459 2022/08/08 21:01:37 - mmengine - INFO - Epoch(train) [13][1760/1879] lr: 2.0000e-02 eta: 1 day, 3:47:00 time: 0.6200 data_time: 0.0184 memory: 13723 grad_norm: 3.8310 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5142 loss: 1.5142 2022/08/08 21:01:49 - mmengine - INFO - Epoch(train) [13][1780/1879] lr: 2.0000e-02 eta: 1 day, 3:46:46 time: 0.5978 data_time: 0.0250 memory: 13723 grad_norm: 3.9516 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7488 loss: 1.7488 2022/08/08 21:02:01 - mmengine - INFO - Epoch(train) [13][1800/1879] lr: 2.0000e-02 eta: 1 day, 3:46:28 time: 0.5718 data_time: 0.0201 memory: 13723 grad_norm: 3.7724 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9051 loss: 1.9051 2022/08/08 21:02:14 - mmengine - INFO - Epoch(train) [13][1820/1879] lr: 2.0000e-02 eta: 1 day, 3:46:26 time: 0.6876 data_time: 0.1514 memory: 13723 grad_norm: 3.8088 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7634 loss: 1.7634 2022/08/08 21:02:26 - mmengine - INFO - Epoch(train) [13][1840/1879] lr: 2.0000e-02 eta: 1 day, 3:46:09 time: 0.5724 data_time: 0.0222 memory: 13723 grad_norm: 3.8920 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8898 loss: 1.8898 2022/08/08 21:02:38 - mmengine - INFO - Epoch(train) [13][1860/1879] lr: 2.0000e-02 eta: 1 day, 3:45:54 time: 0.5947 data_time: 0.0510 memory: 13723 grad_norm: 3.8105 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8381 loss: 1.8381 2022/08/08 21:02:48 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 21:02:48 - mmengine - INFO - Epoch(train) [13][1879/1879] lr: 2.0000e-02 eta: 1 day, 3:45:54 time: 0.5385 data_time: 0.0165 memory: 13723 grad_norm: 4.0342 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 2.0443 loss: 2.0443 2022/08/08 21:03:01 - mmengine - INFO - Epoch(val) [13][20/155] eta: 0:01:28 time: 0.6559 data_time: 0.5154 memory: 1829 2022/08/08 21:03:13 - mmengine - INFO - Epoch(val) [13][40/155] eta: 0:01:05 time: 0.5731 data_time: 0.4340 memory: 1829 2022/08/08 21:03:23 - mmengine - INFO - Epoch(val) [13][60/155] eta: 0:00:50 time: 0.5287 data_time: 0.3896 memory: 1829 2022/08/08 21:03:37 - mmengine - INFO - Epoch(val) [13][80/155] eta: 0:00:53 time: 0.7155 data_time: 0.5782 memory: 1829 2022/08/08 21:03:46 - mmengine - INFO - Epoch(val) [13][100/155] eta: 0:00:24 time: 0.4471 data_time: 0.3081 memory: 1829 2022/08/08 21:04:04 - mmengine - INFO - Epoch(val) [13][120/155] eta: 0:00:29 time: 0.8569 data_time: 0.7193 memory: 1829 2022/08/08 21:04:12 - mmengine - INFO - Epoch(val) [13][140/155] eta: 0:00:06 time: 0.4249 data_time: 0.2908 memory: 1829 2022/08/08 21:04:23 - mmengine - INFO - Epoch(val) [13][155/155] acc/top1: 0.5798 acc/top5: 0.8199 acc/mean1: 0.5797 2022/08/08 21:04:23 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_13.pth is removed 2022/08/08 21:04:24 - mmengine - INFO - The best checkpoint with 0.5798 acc/top1 at 14 epoch is saved to best_acc/top1_epoch_14.pth. 2022/08/08 21:04:41 - mmengine - INFO - Epoch(train) [14][20/1879] lr: 2.0000e-02 eta: 1 day, 3:44:43 time: 0.8393 data_time: 0.2314 memory: 13723 grad_norm: 3.8154 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 1.5969 loss: 1.5969 2022/08/08 21:04:52 - mmengine - INFO - Epoch(train) [14][40/1879] lr: 2.0000e-02 eta: 1 day, 3:44:26 time: 0.5767 data_time: 0.0294 memory: 13723 grad_norm: 3.7844 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6643 loss: 1.6643 2022/08/08 21:05:05 - mmengine - INFO - Epoch(train) [14][60/1879] lr: 2.0000e-02 eta: 1 day, 3:44:17 time: 0.6341 data_time: 0.0251 memory: 13723 grad_norm: 3.8753 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6497 loss: 1.6497 2022/08/08 21:05:19 - mmengine - INFO - Epoch(train) [14][80/1879] lr: 2.0000e-02 eta: 1 day, 3:44:19 time: 0.7169 data_time: 0.1254 memory: 13723 grad_norm: 3.7773 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6912 loss: 1.6912 2022/08/08 21:05:31 - mmengine - INFO - Epoch(train) [14][100/1879] lr: 2.0000e-02 eta: 1 day, 3:44:03 time: 0.5826 data_time: 0.0287 memory: 13723 grad_norm: 3.8147 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6249 loss: 1.6249 2022/08/08 21:05:43 - mmengine - INFO - Epoch(train) [14][120/1879] lr: 2.0000e-02 eta: 1 day, 3:43:48 time: 0.5890 data_time: 0.0198 memory: 13723 grad_norm: 3.8825 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7985 loss: 1.7985 2022/08/08 21:05:54 - mmengine - INFO - Epoch(train) [14][140/1879] lr: 2.0000e-02 eta: 1 day, 3:43:33 time: 0.5899 data_time: 0.0250 memory: 13723 grad_norm: 3.8761 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6486 loss: 1.6486 2022/08/08 21:06:06 - mmengine - INFO - Epoch(train) [14][160/1879] lr: 2.0000e-02 eta: 1 day, 3:43:18 time: 0.5923 data_time: 0.0211 memory: 13723 grad_norm: 3.7672 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8217 loss: 1.8217 2022/08/08 21:06:18 - mmengine - INFO - Epoch(train) [14][180/1879] lr: 2.0000e-02 eta: 1 day, 3:43:04 time: 0.5955 data_time: 0.0211 memory: 13723 grad_norm: 3.7656 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6887 loss: 1.6887 2022/08/08 21:06:31 - mmengine - INFO - Epoch(train) [14][200/1879] lr: 2.0000e-02 eta: 1 day, 3:42:59 time: 0.6639 data_time: 0.0199 memory: 13723 grad_norm: 3.9953 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6738 loss: 1.6738 2022/08/08 21:06:43 - mmengine - INFO - Epoch(train) [14][220/1879] lr: 2.0000e-02 eta: 1 day, 3:42:42 time: 0.5811 data_time: 0.0252 memory: 13723 grad_norm: 3.9445 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6804 loss: 1.6804 2022/08/08 21:06:55 - mmengine - INFO - Epoch(train) [14][240/1879] lr: 2.0000e-02 eta: 1 day, 3:42:27 time: 0.5882 data_time: 0.0210 memory: 13723 grad_norm: 3.8962 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5390 loss: 1.5390 2022/08/08 21:07:07 - mmengine - INFO - Epoch(train) [14][260/1879] lr: 2.0000e-02 eta: 1 day, 3:42:11 time: 0.5844 data_time: 0.0265 memory: 13723 grad_norm: 3.8207 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.8752 loss: 1.8752 2022/08/08 21:07:20 - mmengine - INFO - Epoch(train) [14][280/1879] lr: 2.0000e-02 eta: 1 day, 3:42:05 time: 0.6535 data_time: 0.0178 memory: 13723 grad_norm: 3.8931 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9696 loss: 1.9696 2022/08/08 21:07:32 - mmengine - INFO - Epoch(train) [14][300/1879] lr: 2.0000e-02 eta: 1 day, 3:41:57 time: 0.6417 data_time: 0.0260 memory: 13723 grad_norm: 3.8055 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6523 loss: 1.6523 2022/08/08 21:07:47 - mmengine - INFO - Epoch(train) [14][320/1879] lr: 2.0000e-02 eta: 1 day, 3:42:00 time: 0.7325 data_time: 0.0174 memory: 13723 grad_norm: 3.8973 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7292 loss: 1.7292 2022/08/08 21:07:58 - mmengine - INFO - Epoch(train) [14][340/1879] lr: 2.0000e-02 eta: 1 day, 3:41:43 time: 0.5698 data_time: 0.0211 memory: 13723 grad_norm: 3.8963 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8963 loss: 1.8963 2022/08/08 21:08:10 - mmengine - INFO - Epoch(train) [14][360/1879] lr: 2.0000e-02 eta: 1 day, 3:41:25 time: 0.5717 data_time: 0.0256 memory: 13723 grad_norm: 3.9954 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7664 loss: 1.7664 2022/08/08 21:08:21 - mmengine - INFO - Epoch(train) [14][380/1879] lr: 2.0000e-02 eta: 1 day, 3:41:08 time: 0.5741 data_time: 0.0269 memory: 13723 grad_norm: 4.0310 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6919 loss: 1.6919 2022/08/08 21:08:33 - mmengine - INFO - Epoch(train) [14][400/1879] lr: 2.0000e-02 eta: 1 day, 3:40:52 time: 0.5779 data_time: 0.0194 memory: 13723 grad_norm: 4.0353 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7471 loss: 1.7471 2022/08/08 21:08:44 - mmengine - INFO - Epoch(train) [14][420/1879] lr: 2.0000e-02 eta: 1 day, 3:40:35 time: 0.5751 data_time: 0.0259 memory: 13723 grad_norm: 3.8705 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7271 loss: 1.7271 2022/08/08 21:08:56 - mmengine - INFO - Epoch(train) [14][440/1879] lr: 2.0000e-02 eta: 1 day, 3:40:18 time: 0.5780 data_time: 0.0212 memory: 13723 grad_norm: 3.8354 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4447 loss: 1.4447 2022/08/08 21:09:08 - mmengine - INFO - Epoch(train) [14][460/1879] lr: 2.0000e-02 eta: 1 day, 3:40:04 time: 0.5973 data_time: 0.0268 memory: 13723 grad_norm: 3.8429 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7066 loss: 1.7066 2022/08/08 21:09:20 - mmengine - INFO - Epoch(train) [14][480/1879] lr: 2.0000e-02 eta: 1 day, 3:39:48 time: 0.5849 data_time: 0.0201 memory: 13723 grad_norm: 3.8625 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7180 loss: 1.7180 2022/08/08 21:09:33 - mmengine - INFO - Epoch(train) [14][500/1879] lr: 2.0000e-02 eta: 1 day, 3:39:42 time: 0.6524 data_time: 0.0211 memory: 13723 grad_norm: 3.7572 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7822 loss: 1.7822 2022/08/08 21:09:44 - mmengine - INFO - Epoch(train) [14][520/1879] lr: 2.0000e-02 eta: 1 day, 3:39:26 time: 0.5837 data_time: 0.0230 memory: 13723 grad_norm: 3.8847 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8271 loss: 1.8271 2022/08/08 21:09:57 - mmengine - INFO - Epoch(train) [14][540/1879] lr: 2.0000e-02 eta: 1 day, 3:39:17 time: 0.6363 data_time: 0.0252 memory: 13723 grad_norm: 3.9298 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8451 loss: 1.8451 2022/08/08 21:10:16 - mmengine - INFO - Epoch(train) [14][560/1879] lr: 2.0000e-02 eta: 1 day, 3:39:46 time: 0.9305 data_time: 0.0147 memory: 13723 grad_norm: 3.8786 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7572 loss: 1.7572 2022/08/08 21:10:27 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 21:10:31 - mmengine - INFO - Epoch(train) [14][580/1879] lr: 2.0000e-02 eta: 1 day, 3:39:53 time: 0.7556 data_time: 0.0221 memory: 13723 grad_norm: 3.8999 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6062 loss: 1.6062 2022/08/08 21:10:43 - mmengine - INFO - Epoch(train) [14][600/1879] lr: 2.0000e-02 eta: 1 day, 3:39:37 time: 0.5866 data_time: 0.0194 memory: 13723 grad_norm: 4.0340 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7887 loss: 1.7887 2022/08/08 21:10:54 - mmengine - INFO - Epoch(train) [14][620/1879] lr: 2.0000e-02 eta: 1 day, 3:39:20 time: 0.5707 data_time: 0.0231 memory: 13723 grad_norm: 3.9458 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7666 loss: 1.7666 2022/08/08 21:11:05 - mmengine - INFO - Epoch(train) [14][640/1879] lr: 2.0000e-02 eta: 1 day, 3:39:02 time: 0.5667 data_time: 0.0262 memory: 13723 grad_norm: 3.9330 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0336 loss: 2.0336 2022/08/08 21:11:17 - mmengine - INFO - Epoch(train) [14][660/1879] lr: 2.0000e-02 eta: 1 day, 3:38:48 time: 0.5964 data_time: 0.0423 memory: 13723 grad_norm: 3.9376 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9098 loss: 1.9098 2022/08/08 21:11:29 - mmengine - INFO - Epoch(train) [14][680/1879] lr: 2.0000e-02 eta: 1 day, 3:38:33 time: 0.5922 data_time: 0.0476 memory: 13723 grad_norm: 3.9348 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8855 loss: 1.8855 2022/08/08 21:11:41 - mmengine - INFO - Epoch(train) [14][700/1879] lr: 2.0000e-02 eta: 1 day, 3:38:16 time: 0.5723 data_time: 0.0268 memory: 13723 grad_norm: 3.8011 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7338 loss: 1.7338 2022/08/08 21:11:53 - mmengine - INFO - Epoch(train) [14][720/1879] lr: 2.0000e-02 eta: 1 day, 3:38:04 time: 0.6130 data_time: 0.0690 memory: 13723 grad_norm: 3.8613 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6235 loss: 1.6235 2022/08/08 21:12:05 - mmengine - INFO - Epoch(train) [14][740/1879] lr: 2.0000e-02 eta: 1 day, 3:37:49 time: 0.5889 data_time: 0.0438 memory: 13723 grad_norm: 3.9397 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8945 loss: 1.8945 2022/08/08 21:12:19 - mmengine - INFO - Epoch(train) [14][760/1879] lr: 2.0000e-02 eta: 1 day, 3:37:51 time: 0.7254 data_time: 0.1751 memory: 13723 grad_norm: 4.0256 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8155 loss: 1.8155 2022/08/08 21:12:31 - mmengine - INFO - Epoch(train) [14][780/1879] lr: 2.0000e-02 eta: 1 day, 3:37:39 time: 0.6128 data_time: 0.0568 memory: 13723 grad_norm: 4.0475 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0057 loss: 2.0057 2022/08/08 21:12:43 - mmengine - INFO - Epoch(train) [14][800/1879] lr: 2.0000e-02 eta: 1 day, 3:37:22 time: 0.5735 data_time: 0.0166 memory: 13723 grad_norm: 3.9391 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6964 loss: 1.6964 2022/08/08 21:12:56 - mmengine - INFO - Epoch(train) [14][820/1879] lr: 2.0000e-02 eta: 1 day, 3:37:14 time: 0.6453 data_time: 0.0217 memory: 13723 grad_norm: 3.9778 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6223 loss: 1.6223 2022/08/08 21:13:07 - mmengine - INFO - Epoch(train) [14][840/1879] lr: 2.0000e-02 eta: 1 day, 3:36:58 time: 0.5806 data_time: 0.0206 memory: 13723 grad_norm: 3.9196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9596 loss: 1.9596 2022/08/08 21:13:20 - mmengine - INFO - Epoch(train) [14][860/1879] lr: 2.0000e-02 eta: 1 day, 3:36:45 time: 0.6057 data_time: 0.0206 memory: 13723 grad_norm: 3.9505 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8363 loss: 1.8363 2022/08/08 21:13:32 - mmengine - INFO - Epoch(train) [14][880/1879] lr: 2.0000e-02 eta: 1 day, 3:36:35 time: 0.6264 data_time: 0.0191 memory: 13723 grad_norm: 3.9533 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8618 loss: 1.8618 2022/08/08 21:13:44 - mmengine - INFO - Epoch(train) [14][900/1879] lr: 2.0000e-02 eta: 1 day, 3:36:23 time: 0.6178 data_time: 0.0445 memory: 13723 grad_norm: 3.9667 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6865 loss: 1.6865 2022/08/08 21:13:56 - mmengine - INFO - Epoch(train) [14][920/1879] lr: 2.0000e-02 eta: 1 day, 3:36:06 time: 0.5703 data_time: 0.0217 memory: 13723 grad_norm: 3.9439 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6808 loss: 1.6808 2022/08/08 21:14:08 - mmengine - INFO - Epoch(train) [14][940/1879] lr: 2.0000e-02 eta: 1 day, 3:35:55 time: 0.6187 data_time: 0.0687 memory: 13723 grad_norm: 3.8819 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7865 loss: 1.7865 2022/08/08 21:14:20 - mmengine - INFO - Epoch(train) [14][960/1879] lr: 2.0000e-02 eta: 1 day, 3:35:37 time: 0.5661 data_time: 0.0229 memory: 13723 grad_norm: 3.9715 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7916 loss: 1.7916 2022/08/08 21:14:31 - mmengine - INFO - Epoch(train) [14][980/1879] lr: 2.0000e-02 eta: 1 day, 3:35:19 time: 0.5671 data_time: 0.0236 memory: 13723 grad_norm: 3.8045 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9842 loss: 1.9842 2022/08/08 21:14:42 - mmengine - INFO - Epoch(train) [14][1000/1879] lr: 2.0000e-02 eta: 1 day, 3:35:02 time: 0.5728 data_time: 0.0239 memory: 13723 grad_norm: 3.7712 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7968 loss: 1.7968 2022/08/08 21:14:54 - mmengine - INFO - Epoch(train) [14][1020/1879] lr: 2.0000e-02 eta: 1 day, 3:34:45 time: 0.5796 data_time: 0.0217 memory: 13723 grad_norm: 3.7647 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7994 loss: 1.7994 2022/08/08 21:15:05 - mmengine - INFO - Epoch(train) [14][1040/1879] lr: 2.0000e-02 eta: 1 day, 3:34:28 time: 0.5698 data_time: 0.0252 memory: 13723 grad_norm: 3.9114 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9116 loss: 1.9116 2022/08/08 21:15:19 - mmengine - INFO - Epoch(train) [14][1060/1879] lr: 2.0000e-02 eta: 1 day, 3:34:23 time: 0.6689 data_time: 0.1248 memory: 13723 grad_norm: 3.8112 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6712 loss: 1.6712 2022/08/08 21:15:31 - mmengine - INFO - Epoch(train) [14][1080/1879] lr: 2.0000e-02 eta: 1 day, 3:34:09 time: 0.5970 data_time: 0.0458 memory: 13723 grad_norm: 3.8739 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5847 loss: 1.5847 2022/08/08 21:15:43 - mmengine - INFO - Epoch(train) [14][1100/1879] lr: 2.0000e-02 eta: 1 day, 3:33:57 time: 0.6168 data_time: 0.0270 memory: 13723 grad_norm: 3.7550 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6515 loss: 1.6515 2022/08/08 21:15:56 - mmengine - INFO - Epoch(train) [14][1120/1879] lr: 2.0000e-02 eta: 1 day, 3:33:48 time: 0.6304 data_time: 0.0156 memory: 13723 grad_norm: 3.8419 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6885 loss: 1.6885 2022/08/08 21:16:07 - mmengine - INFO - Epoch(train) [14][1140/1879] lr: 2.0000e-02 eta: 1 day, 3:33:31 time: 0.5752 data_time: 0.0210 memory: 13723 grad_norm: 3.9338 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7202 loss: 1.7202 2022/08/08 21:16:19 - mmengine - INFO - Epoch(train) [14][1160/1879] lr: 2.0000e-02 eta: 1 day, 3:33:17 time: 0.5980 data_time: 0.0451 memory: 13723 grad_norm: 3.8514 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6502 loss: 1.6502 2022/08/08 21:16:31 - mmengine - INFO - Epoch(train) [14][1180/1879] lr: 2.0000e-02 eta: 1 day, 3:33:00 time: 0.5726 data_time: 0.0235 memory: 13723 grad_norm: 3.8802 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8004 loss: 1.8004 2022/08/08 21:16:42 - mmengine - INFO - Epoch(train) [14][1200/1879] lr: 2.0000e-02 eta: 1 day, 3:32:42 time: 0.5675 data_time: 0.0248 memory: 13723 grad_norm: 3.9475 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6722 loss: 1.6722 2022/08/08 21:16:53 - mmengine - INFO - Epoch(train) [14][1220/1879] lr: 2.0000e-02 eta: 1 day, 3:32:24 time: 0.5646 data_time: 0.0223 memory: 13723 grad_norm: 3.8917 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6642 loss: 1.6642 2022/08/08 21:17:05 - mmengine - INFO - Epoch(train) [14][1240/1879] lr: 2.0000e-02 eta: 1 day, 3:32:08 time: 0.5781 data_time: 0.0254 memory: 13723 grad_norm: 3.9839 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8523 loss: 1.8523 2022/08/08 21:17:16 - mmengine - INFO - Epoch(train) [14][1260/1879] lr: 2.0000e-02 eta: 1 day, 3:31:50 time: 0.5652 data_time: 0.0246 memory: 13723 grad_norm: 3.9390 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8403 loss: 1.8403 2022/08/08 21:17:28 - mmengine - INFO - Epoch(train) [14][1280/1879] lr: 2.0000e-02 eta: 1 day, 3:31:33 time: 0.5780 data_time: 0.0233 memory: 13723 grad_norm: 3.9672 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8123 loss: 1.8123 2022/08/08 21:17:39 - mmengine - INFO - Epoch(train) [14][1300/1879] lr: 2.0000e-02 eta: 1 day, 3:31:16 time: 0.5674 data_time: 0.0238 memory: 13723 grad_norm: 3.8093 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9345 loss: 1.9345 2022/08/08 21:17:51 - mmengine - INFO - Epoch(train) [14][1320/1879] lr: 2.0000e-02 eta: 1 day, 3:31:00 time: 0.5850 data_time: 0.0222 memory: 13723 grad_norm: 3.8439 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8042 loss: 1.8042 2022/08/08 21:18:03 - mmengine - INFO - Epoch(train) [14][1340/1879] lr: 2.0000e-02 eta: 1 day, 3:30:46 time: 0.5935 data_time: 0.0448 memory: 13723 grad_norm: 3.9231 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8488 loss: 1.8488 2022/08/08 21:18:15 - mmengine - INFO - Epoch(train) [14][1360/1879] lr: 2.0000e-02 eta: 1 day, 3:30:34 time: 0.6120 data_time: 0.0204 memory: 13723 grad_norm: 3.8677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7209 loss: 1.7209 2022/08/08 21:18:26 - mmengine - INFO - Epoch(train) [14][1380/1879] lr: 2.0000e-02 eta: 1 day, 3:30:17 time: 0.5747 data_time: 0.0219 memory: 13723 grad_norm: 3.8859 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.7620 loss: 1.7620 2022/08/08 21:18:38 - mmengine - INFO - Epoch(train) [14][1400/1879] lr: 2.0000e-02 eta: 1 day, 3:30:01 time: 0.5814 data_time: 0.0228 memory: 13723 grad_norm: 3.9215 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7686 loss: 1.7686 2022/08/08 21:18:51 - mmengine - INFO - Epoch(train) [14][1420/1879] lr: 2.0000e-02 eta: 1 day, 3:29:56 time: 0.6667 data_time: 0.0356 memory: 13723 grad_norm: 3.8201 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8601 loss: 1.8601 2022/08/08 21:19:03 - mmengine - INFO - Epoch(train) [14][1440/1879] lr: 2.0000e-02 eta: 1 day, 3:29:40 time: 0.5797 data_time: 0.0179 memory: 13723 grad_norm: 3.8476 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8684 loss: 1.8684 2022/08/08 21:19:19 - mmengine - INFO - Epoch(train) [14][1460/1879] lr: 2.0000e-02 eta: 1 day, 3:29:53 time: 0.8177 data_time: 0.0538 memory: 13723 grad_norm: 3.8866 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8091 loss: 1.8091 2022/08/08 21:19:30 - mmengine - INFO - Epoch(train) [14][1480/1879] lr: 2.0000e-02 eta: 1 day, 3:29:35 time: 0.5627 data_time: 0.0201 memory: 13723 grad_norm: 3.7288 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7424 loss: 1.7424 2022/08/08 21:19:42 - mmengine - INFO - Epoch(train) [14][1500/1879] lr: 2.0000e-02 eta: 1 day, 3:29:17 time: 0.5666 data_time: 0.0224 memory: 13723 grad_norm: 3.8854 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7349 loss: 1.7349 2022/08/08 21:19:53 - mmengine - INFO - Epoch(train) [14][1520/1879] lr: 2.0000e-02 eta: 1 day, 3:29:00 time: 0.5700 data_time: 0.0263 memory: 13723 grad_norm: 3.8475 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6621 loss: 1.6621 2022/08/08 21:20:05 - mmengine - INFO - Epoch(train) [14][1540/1879] lr: 2.0000e-02 eta: 1 day, 3:28:43 time: 0.5706 data_time: 0.0216 memory: 13723 grad_norm: 3.9702 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7579 loss: 1.7579 2022/08/08 21:20:18 - mmengine - INFO - Epoch(train) [14][1560/1879] lr: 2.0000e-02 eta: 1 day, 3:28:40 time: 0.6895 data_time: 0.1141 memory: 13723 grad_norm: 3.8575 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7673 loss: 1.7673 2022/08/08 21:20:28 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 21:20:32 - mmengine - INFO - Epoch(train) [14][1580/1879] lr: 2.0000e-02 eta: 1 day, 3:28:38 time: 0.6883 data_time: 0.0227 memory: 13723 grad_norm: 3.7975 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7091 loss: 1.7091 2022/08/08 21:20:44 - mmengine - INFO - Epoch(train) [14][1600/1879] lr: 2.0000e-02 eta: 1 day, 3:28:21 time: 0.5742 data_time: 0.0224 memory: 13723 grad_norm: 3.8581 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7484 loss: 1.7484 2022/08/08 21:20:56 - mmengine - INFO - Epoch(train) [14][1620/1879] lr: 2.0000e-02 eta: 1 day, 3:28:08 time: 0.6096 data_time: 0.0257 memory: 13723 grad_norm: 3.8268 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6730 loss: 1.6730 2022/08/08 21:21:08 - mmengine - INFO - Epoch(train) [14][1640/1879] lr: 2.0000e-02 eta: 1 day, 3:27:53 time: 0.5841 data_time: 0.0176 memory: 13723 grad_norm: 3.8742 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7266 loss: 1.7266 2022/08/08 21:21:21 - mmengine - INFO - Epoch(train) [14][1660/1879] lr: 2.0000e-02 eta: 1 day, 3:27:48 time: 0.6708 data_time: 0.0206 memory: 13723 grad_norm: 3.9794 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8745 loss: 1.8745 2022/08/08 21:21:34 - mmengine - INFO - Epoch(train) [14][1680/1879] lr: 2.0000e-02 eta: 1 day, 3:27:40 time: 0.6463 data_time: 0.0175 memory: 13723 grad_norm: 3.8357 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7174 loss: 1.7174 2022/08/08 21:21:45 - mmengine - INFO - Epoch(train) [14][1700/1879] lr: 2.0000e-02 eta: 1 day, 3:27:23 time: 0.5699 data_time: 0.0212 memory: 13723 grad_norm: 3.8973 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9513 loss: 1.9513 2022/08/08 21:21:58 - mmengine - INFO - Epoch(train) [14][1720/1879] lr: 2.0000e-02 eta: 1 day, 3:27:13 time: 0.6340 data_time: 0.0214 memory: 13723 grad_norm: 3.8641 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7569 loss: 1.7569 2022/08/08 21:22:11 - mmengine - INFO - Epoch(train) [14][1740/1879] lr: 2.0000e-02 eta: 1 day, 3:27:05 time: 0.6426 data_time: 0.0212 memory: 13723 grad_norm: 3.8734 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6471 loss: 1.6471 2022/08/08 21:22:26 - mmengine - INFO - Epoch(train) [14][1760/1879] lr: 2.0000e-02 eta: 1 day, 3:27:12 time: 0.7670 data_time: 0.0162 memory: 13723 grad_norm: 3.8922 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9519 loss: 1.9519 2022/08/08 21:22:39 - mmengine - INFO - Epoch(train) [14][1780/1879] lr: 2.0000e-02 eta: 1 day, 3:27:01 time: 0.6187 data_time: 0.0406 memory: 13723 grad_norm: 3.9068 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8617 loss: 1.8617 2022/08/08 21:22:50 - mmengine - INFO - Epoch(train) [14][1800/1879] lr: 2.0000e-02 eta: 1 day, 3:26:43 time: 0.5684 data_time: 0.0215 memory: 13723 grad_norm: 3.9220 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7703 loss: 1.7703 2022/08/08 21:23:01 - mmengine - INFO - Epoch(train) [14][1820/1879] lr: 2.0000e-02 eta: 1 day, 3:26:26 time: 0.5670 data_time: 0.0254 memory: 13723 grad_norm: 3.8980 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7361 loss: 1.7361 2022/08/08 21:23:13 - mmengine - INFO - Epoch(train) [14][1840/1879] lr: 2.0000e-02 eta: 1 day, 3:26:09 time: 0.5711 data_time: 0.0202 memory: 13723 grad_norm: 3.8811 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7164 loss: 1.7164 2022/08/08 21:23:24 - mmengine - INFO - Epoch(train) [14][1860/1879] lr: 2.0000e-02 eta: 1 day, 3:25:52 time: 0.5755 data_time: 0.0228 memory: 13723 grad_norm: 3.8965 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8327 loss: 1.8327 2022/08/08 21:23:34 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 21:23:34 - mmengine - INFO - Epoch(train) [14][1879/1879] lr: 2.0000e-02 eta: 1 day, 3:25:52 time: 0.5288 data_time: 0.0165 memory: 13723 grad_norm: 3.9898 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.8638 loss: 1.8638 2022/08/08 21:23:49 - mmengine - INFO - Epoch(val) [14][20/155] eta: 0:01:38 time: 0.7325 data_time: 0.5920 memory: 1829 2022/08/08 21:23:58 - mmengine - INFO - Epoch(val) [14][40/155] eta: 0:00:54 time: 0.4722 data_time: 0.3337 memory: 1829 2022/08/08 21:24:12 - mmengine - INFO - Epoch(val) [14][60/155] eta: 0:01:05 time: 0.6930 data_time: 0.5544 memory: 1829 2022/08/08 21:24:22 - mmengine - INFO - Epoch(val) [14][80/155] eta: 0:00:37 time: 0.4957 data_time: 0.3575 memory: 1829 2022/08/08 21:24:34 - mmengine - INFO - Epoch(val) [14][100/155] eta: 0:00:32 time: 0.5986 data_time: 0.4593 memory: 1829 2022/08/08 21:24:45 - mmengine - INFO - Epoch(val) [14][120/155] eta: 0:00:18 time: 0.5326 data_time: 0.3933 memory: 1829 2022/08/08 21:24:59 - mmengine - INFO - Epoch(val) [14][140/155] eta: 0:00:10 time: 0.6929 data_time: 0.5562 memory: 1829 2022/08/08 21:25:08 - mmengine - INFO - Epoch(val) [14][155/155] acc/top1: 0.5888 acc/top5: 0.8290 acc/mean1: 0.5886 2022/08/08 21:25:08 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_14.pth is removed 2022/08/08 21:25:10 - mmengine - INFO - The best checkpoint with 0.5888 acc/top1 at 15 epoch is saved to best_acc/top1_epoch_15.pth. 2022/08/08 21:25:27 - mmengine - INFO - Epoch(train) [15][20/1879] lr: 2.0000e-02 eta: 1 day, 3:24:50 time: 0.8798 data_time: 0.3410 memory: 13723 grad_norm: 3.8310 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5581 loss: 1.5581 2022/08/08 21:25:39 - mmengine - INFO - Epoch(train) [15][40/1879] lr: 2.0000e-02 eta: 1 day, 3:24:34 time: 0.5810 data_time: 0.0221 memory: 13723 grad_norm: 3.8377 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8166 loss: 1.8166 2022/08/08 21:25:51 - mmengine - INFO - Epoch(train) [15][60/1879] lr: 2.0000e-02 eta: 1 day, 3:24:19 time: 0.5915 data_time: 0.0239 memory: 13723 grad_norm: 3.7835 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6295 loss: 1.6295 2022/08/08 21:26:02 - mmengine - INFO - Epoch(train) [15][80/1879] lr: 2.0000e-02 eta: 1 day, 3:24:03 time: 0.5746 data_time: 0.0235 memory: 13723 grad_norm: 3.7628 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6716 loss: 1.6716 2022/08/08 21:26:14 - mmengine - INFO - Epoch(train) [15][100/1879] lr: 2.0000e-02 eta: 1 day, 3:23:50 time: 0.6035 data_time: 0.0231 memory: 13723 grad_norm: 3.9045 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6378 loss: 1.6378 2022/08/08 21:26:25 - mmengine - INFO - Epoch(train) [15][120/1879] lr: 2.0000e-02 eta: 1 day, 3:23:32 time: 0.5646 data_time: 0.0208 memory: 13723 grad_norm: 3.9016 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6983 loss: 1.6983 2022/08/08 21:26:37 - mmengine - INFO - Epoch(train) [15][140/1879] lr: 2.0000e-02 eta: 1 day, 3:23:15 time: 0.5706 data_time: 0.0232 memory: 13723 grad_norm: 3.8511 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7671 loss: 1.7671 2022/08/08 21:26:49 - mmengine - INFO - Epoch(train) [15][160/1879] lr: 2.0000e-02 eta: 1 day, 3:23:01 time: 0.6008 data_time: 0.0250 memory: 13723 grad_norm: 3.8374 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6344 loss: 1.6344 2022/08/08 21:27:03 - mmengine - INFO - Epoch(train) [15][180/1879] lr: 2.0000e-02 eta: 1 day, 3:23:01 time: 0.7038 data_time: 0.0206 memory: 13723 grad_norm: 3.8795 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7536 loss: 1.7536 2022/08/08 21:27:17 - mmengine - INFO - Epoch(train) [15][200/1879] lr: 2.0000e-02 eta: 1 day, 3:22:58 time: 0.6909 data_time: 0.0176 memory: 13723 grad_norm: 3.8651 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7530 loss: 1.7530 2022/08/08 21:27:28 - mmengine - INFO - Epoch(train) [15][220/1879] lr: 2.0000e-02 eta: 1 day, 3:22:41 time: 0.5743 data_time: 0.0234 memory: 13723 grad_norm: 3.8827 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6965 loss: 1.6965 2022/08/08 21:27:41 - mmengine - INFO - Epoch(train) [15][240/1879] lr: 2.0000e-02 eta: 1 day, 3:22:29 time: 0.6103 data_time: 0.0253 memory: 13723 grad_norm: 3.8436 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3983 loss: 1.3983 2022/08/08 21:27:56 - mmengine - INFO - Epoch(train) [15][260/1879] lr: 2.0000e-02 eta: 1 day, 3:22:39 time: 0.7894 data_time: 0.0285 memory: 13723 grad_norm: 3.8894 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6160 loss: 1.6160 2022/08/08 21:28:08 - mmengine - INFO - Epoch(train) [15][280/1879] lr: 2.0000e-02 eta: 1 day, 3:22:22 time: 0.5737 data_time: 0.0213 memory: 13723 grad_norm: 3.8509 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7040 loss: 1.7040 2022/08/08 21:28:19 - mmengine - INFO - Epoch(train) [15][300/1879] lr: 2.0000e-02 eta: 1 day, 3:22:04 time: 0.5658 data_time: 0.0224 memory: 13723 grad_norm: 3.8905 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5050 loss: 1.5050 2022/08/08 21:28:31 - mmengine - INFO - Epoch(train) [15][320/1879] lr: 2.0000e-02 eta: 1 day, 3:21:53 time: 0.6157 data_time: 0.0219 memory: 13723 grad_norm: 4.0119 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6988 loss: 1.6988 2022/08/08 21:28:45 - mmengine - INFO - Epoch(train) [15][340/1879] lr: 2.0000e-02 eta: 1 day, 3:21:47 time: 0.6690 data_time: 0.0181 memory: 13723 grad_norm: 3.9615 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5332 loss: 1.5332 2022/08/08 21:28:56 - mmengine - INFO - Epoch(train) [15][360/1879] lr: 2.0000e-02 eta: 1 day, 3:21:30 time: 0.5651 data_time: 0.0236 memory: 13723 grad_norm: 3.8787 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6732 loss: 1.6732 2022/08/08 21:29:08 - mmengine - INFO - Epoch(train) [15][380/1879] lr: 2.0000e-02 eta: 1 day, 3:21:14 time: 0.5798 data_time: 0.0208 memory: 13723 grad_norm: 3.8664 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7381 loss: 1.7381 2022/08/08 21:29:19 - mmengine - INFO - Epoch(train) [15][400/1879] lr: 2.0000e-02 eta: 1 day, 3:20:56 time: 0.5672 data_time: 0.0229 memory: 13723 grad_norm: 3.9084 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7027 loss: 1.7027 2022/08/08 21:29:31 - mmengine - INFO - Epoch(train) [15][420/1879] lr: 2.0000e-02 eta: 1 day, 3:20:41 time: 0.5882 data_time: 0.0237 memory: 13723 grad_norm: 3.8590 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7799 loss: 1.7799 2022/08/08 21:29:42 - mmengine - INFO - Epoch(train) [15][440/1879] lr: 2.0000e-02 eta: 1 day, 3:20:24 time: 0.5685 data_time: 0.0209 memory: 13723 grad_norm: 3.8107 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7153 loss: 1.7153 2022/08/08 21:29:55 - mmengine - INFO - Epoch(train) [15][460/1879] lr: 2.0000e-02 eta: 1 day, 3:20:13 time: 0.6216 data_time: 0.0240 memory: 13723 grad_norm: 3.8163 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7885 loss: 1.7885 2022/08/08 21:30:10 - mmengine - INFO - Epoch(train) [15][480/1879] lr: 2.0000e-02 eta: 1 day, 3:20:21 time: 0.7749 data_time: 0.0218 memory: 13723 grad_norm: 3.9302 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6731 loss: 1.6731 2022/08/08 21:30:23 - mmengine - INFO - Epoch(train) [15][500/1879] lr: 2.0000e-02 eta: 1 day, 3:20:13 time: 0.6494 data_time: 0.0174 memory: 13723 grad_norm: 3.9660 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8597 loss: 1.8597 2022/08/08 21:30:35 - mmengine - INFO - Epoch(train) [15][520/1879] lr: 2.0000e-02 eta: 1 day, 3:20:02 time: 0.6184 data_time: 0.0222 memory: 13723 grad_norm: 3.8513 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6823 loss: 1.6823 2022/08/08 21:30:47 - mmengine - INFO - Epoch(train) [15][540/1879] lr: 2.0000e-02 eta: 1 day, 3:19:45 time: 0.5774 data_time: 0.0310 memory: 13723 grad_norm: 3.8120 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6271 loss: 1.6271 2022/08/08 21:31:00 - mmengine - INFO - Epoch(train) [15][560/1879] lr: 2.0000e-02 eta: 1 day, 3:19:35 time: 0.6227 data_time: 0.0199 memory: 13723 grad_norm: 3.7575 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7049 loss: 1.7049 2022/08/08 21:31:11 - mmengine - INFO - Epoch(train) [15][580/1879] lr: 2.0000e-02 eta: 1 day, 3:19:18 time: 0.5702 data_time: 0.0226 memory: 13723 grad_norm: 3.7911 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7463 loss: 1.7463 2022/08/08 21:31:22 - mmengine - INFO - Epoch(train) [15][600/1879] lr: 2.0000e-02 eta: 1 day, 3:19:01 time: 0.5760 data_time: 0.0219 memory: 13723 grad_norm: 3.8960 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7348 loss: 1.7348 2022/08/08 21:31:34 - mmengine - INFO - Epoch(train) [15][620/1879] lr: 2.0000e-02 eta: 1 day, 3:18:44 time: 0.5710 data_time: 0.0237 memory: 13723 grad_norm: 4.0584 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9125 loss: 1.9125 2022/08/08 21:31:45 - mmengine - INFO - Epoch(train) [15][640/1879] lr: 2.0000e-02 eta: 1 day, 3:18:27 time: 0.5736 data_time: 0.0221 memory: 13723 grad_norm: 3.8616 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5156 loss: 1.5156 2022/08/08 21:31:57 - mmengine - INFO - Epoch(train) [15][660/1879] lr: 2.0000e-02 eta: 1 day, 3:18:11 time: 0.5758 data_time: 0.0229 memory: 13723 grad_norm: 3.8259 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5190 loss: 1.5190 2022/08/08 21:32:08 - mmengine - INFO - Epoch(train) [15][680/1879] lr: 2.0000e-02 eta: 1 day, 3:17:55 time: 0.5814 data_time: 0.0224 memory: 13723 grad_norm: 3.8615 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7384 loss: 1.7384 2022/08/08 21:32:16 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 21:32:20 - mmengine - INFO - Epoch(train) [15][700/1879] lr: 2.0000e-02 eta: 1 day, 3:17:38 time: 0.5711 data_time: 0.0241 memory: 13723 grad_norm: 3.8856 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5975 loss: 1.5975 2022/08/08 21:32:31 - mmengine - INFO - Epoch(train) [15][720/1879] lr: 2.0000e-02 eta: 1 day, 3:17:21 time: 0.5656 data_time: 0.0211 memory: 13723 grad_norm: 3.8590 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7617 loss: 1.7617 2022/08/08 21:32:43 - mmengine - INFO - Epoch(train) [15][740/1879] lr: 2.0000e-02 eta: 1 day, 3:17:04 time: 0.5733 data_time: 0.0221 memory: 13723 grad_norm: 3.8875 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7692 loss: 1.7692 2022/08/08 21:32:55 - mmengine - INFO - Epoch(train) [15][760/1879] lr: 2.0000e-02 eta: 1 day, 3:16:54 time: 0.6249 data_time: 0.0213 memory: 13723 grad_norm: 3.7774 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.6573 loss: 1.6573 2022/08/08 21:33:07 - mmengine - INFO - Epoch(train) [15][780/1879] lr: 2.0000e-02 eta: 1 day, 3:16:38 time: 0.5816 data_time: 0.0197 memory: 13723 grad_norm: 3.8288 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7666 loss: 1.7666 2022/08/08 21:33:19 - mmengine - INFO - Epoch(train) [15][800/1879] lr: 2.0000e-02 eta: 1 day, 3:16:26 time: 0.6141 data_time: 0.0254 memory: 13723 grad_norm: 3.9662 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6493 loss: 1.6493 2022/08/08 21:33:31 - mmengine - INFO - Epoch(train) [15][820/1879] lr: 2.0000e-02 eta: 1 day, 3:16:12 time: 0.5923 data_time: 0.0455 memory: 13723 grad_norm: 3.9389 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7240 loss: 1.7240 2022/08/08 21:33:43 - mmengine - INFO - Epoch(train) [15][840/1879] lr: 2.0000e-02 eta: 1 day, 3:16:00 time: 0.6155 data_time: 0.0455 memory: 13723 grad_norm: 3.8635 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6021 loss: 1.6021 2022/08/08 21:33:55 - mmengine - INFO - Epoch(train) [15][860/1879] lr: 2.0000e-02 eta: 1 day, 3:15:46 time: 0.5972 data_time: 0.0200 memory: 13723 grad_norm: 3.9074 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.6595 loss: 1.6595 2022/08/08 21:34:07 - mmengine - INFO - Epoch(train) [15][880/1879] lr: 2.0000e-02 eta: 1 day, 3:15:29 time: 0.5693 data_time: 0.0238 memory: 13723 grad_norm: 3.8346 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9160 loss: 1.9160 2022/08/08 21:34:18 - mmengine - INFO - Epoch(train) [15][900/1879] lr: 2.0000e-02 eta: 1 day, 3:15:12 time: 0.5695 data_time: 0.0244 memory: 13723 grad_norm: 3.7829 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7458 loss: 1.7458 2022/08/08 21:34:30 - mmengine - INFO - Epoch(train) [15][920/1879] lr: 2.0000e-02 eta: 1 day, 3:14:56 time: 0.5795 data_time: 0.0218 memory: 13723 grad_norm: 3.9461 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7759 loss: 1.7759 2022/08/08 21:34:41 - mmengine - INFO - Epoch(train) [15][940/1879] lr: 2.0000e-02 eta: 1 day, 3:14:39 time: 0.5697 data_time: 0.0228 memory: 13723 grad_norm: 3.7478 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7919 loss: 1.7919 2022/08/08 21:34:54 - mmengine - INFO - Epoch(train) [15][960/1879] lr: 2.0000e-02 eta: 1 day, 3:14:31 time: 0.6395 data_time: 0.0248 memory: 13723 grad_norm: 3.8674 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8102 loss: 1.8102 2022/08/08 21:35:05 - mmengine - INFO - Epoch(train) [15][980/1879] lr: 2.0000e-02 eta: 1 day, 3:14:15 time: 0.5816 data_time: 0.0201 memory: 13723 grad_norm: 3.9512 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6638 loss: 1.6638 2022/08/08 21:35:20 - mmengine - INFO - Epoch(train) [15][1000/1879] lr: 2.0000e-02 eta: 1 day, 3:14:18 time: 0.7397 data_time: 0.0222 memory: 13723 grad_norm: 3.7737 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7830 loss: 1.7830 2022/08/08 21:35:32 - mmengine - INFO - Epoch(train) [15][1020/1879] lr: 2.0000e-02 eta: 1 day, 3:14:01 time: 0.5711 data_time: 0.0193 memory: 13723 grad_norm: 3.8564 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6858 loss: 1.6858 2022/08/08 21:35:46 - mmengine - INFO - Epoch(train) [15][1040/1879] lr: 2.0000e-02 eta: 1 day, 3:13:59 time: 0.6958 data_time: 0.0217 memory: 13723 grad_norm: 3.8681 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7001 loss: 1.7001 2022/08/08 21:35:57 - mmengine - INFO - Epoch(train) [15][1060/1879] lr: 2.0000e-02 eta: 1 day, 3:13:41 time: 0.5644 data_time: 0.0196 memory: 13723 grad_norm: 3.9239 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7302 loss: 1.7302 2022/08/08 21:36:09 - mmengine - INFO - Epoch(train) [15][1080/1879] lr: 2.0000e-02 eta: 1 day, 3:13:26 time: 0.5827 data_time: 0.0228 memory: 13723 grad_norm: 4.0265 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7635 loss: 1.7635 2022/08/08 21:36:21 - mmengine - INFO - Epoch(train) [15][1100/1879] lr: 2.0000e-02 eta: 1 day, 3:13:15 time: 0.6266 data_time: 0.0215 memory: 13723 grad_norm: 3.8761 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8171 loss: 1.8171 2022/08/08 21:36:33 - mmengine - INFO - Epoch(train) [15][1120/1879] lr: 2.0000e-02 eta: 1 day, 3:13:01 time: 0.5881 data_time: 0.0238 memory: 13723 grad_norm: 3.7844 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6721 loss: 1.6721 2022/08/08 21:36:48 - mmengine - INFO - Epoch(train) [15][1140/1879] lr: 2.0000e-02 eta: 1 day, 3:13:06 time: 0.7597 data_time: 0.0176 memory: 13723 grad_norm: 3.8815 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7004 loss: 1.7004 2022/08/08 21:37:00 - mmengine - INFO - Epoch(train) [15][1160/1879] lr: 2.0000e-02 eta: 1 day, 3:12:53 time: 0.6103 data_time: 0.0198 memory: 13723 grad_norm: 3.9148 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7111 loss: 1.7111 2022/08/08 21:37:12 - mmengine - INFO - Epoch(train) [15][1180/1879] lr: 2.0000e-02 eta: 1 day, 3:12:38 time: 0.5817 data_time: 0.0226 memory: 13723 grad_norm: 3.8868 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7322 loss: 1.7322 2022/08/08 21:37:24 - mmengine - INFO - Epoch(train) [15][1200/1879] lr: 2.0000e-02 eta: 1 day, 3:12:24 time: 0.5958 data_time: 0.0223 memory: 13723 grad_norm: 3.7936 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8047 loss: 1.8047 2022/08/08 21:37:36 - mmengine - INFO - Epoch(train) [15][1220/1879] lr: 2.0000e-02 eta: 1 day, 3:12:10 time: 0.5965 data_time: 0.0213 memory: 13723 grad_norm: 3.8901 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8679 loss: 1.8679 2022/08/08 21:37:47 - mmengine - INFO - Epoch(train) [15][1240/1879] lr: 2.0000e-02 eta: 1 day, 3:11:54 time: 0.5796 data_time: 0.0244 memory: 13723 grad_norm: 3.9034 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7616 loss: 1.7616 2022/08/08 21:37:59 - mmengine - INFO - Epoch(train) [15][1260/1879] lr: 2.0000e-02 eta: 1 day, 3:11:41 time: 0.6028 data_time: 0.0378 memory: 13723 grad_norm: 3.9230 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6855 loss: 1.6855 2022/08/08 21:38:11 - mmengine - INFO - Epoch(train) [15][1280/1879] lr: 2.0000e-02 eta: 1 day, 3:11:25 time: 0.5807 data_time: 0.0201 memory: 13723 grad_norm: 3.7702 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5764 loss: 1.5764 2022/08/08 21:38:23 - mmengine - INFO - Epoch(train) [15][1300/1879] lr: 2.0000e-02 eta: 1 day, 3:11:12 time: 0.6001 data_time: 0.0250 memory: 13723 grad_norm: 3.8700 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7481 loss: 1.7481 2022/08/08 21:38:34 - mmengine - INFO - Epoch(train) [15][1320/1879] lr: 2.0000e-02 eta: 1 day, 3:10:55 time: 0.5708 data_time: 0.0223 memory: 13723 grad_norm: 3.8537 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.3901 loss: 1.3901 2022/08/08 21:38:46 - mmengine - INFO - Epoch(train) [15][1340/1879] lr: 2.0000e-02 eta: 1 day, 3:10:41 time: 0.5938 data_time: 0.0510 memory: 13723 grad_norm: 4.0208 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7760 loss: 1.7760 2022/08/08 21:38:58 - mmengine - INFO - Epoch(train) [15][1360/1879] lr: 2.0000e-02 eta: 1 day, 3:10:24 time: 0.5674 data_time: 0.0240 memory: 13723 grad_norm: 3.9170 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6220 loss: 1.6220 2022/08/08 21:39:10 - mmengine - INFO - Epoch(train) [15][1380/1879] lr: 2.0000e-02 eta: 1 day, 3:10:08 time: 0.5764 data_time: 0.0218 memory: 13723 grad_norm: 3.8229 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7207 loss: 1.7207 2022/08/08 21:39:22 - mmengine - INFO - Epoch(train) [15][1400/1879] lr: 2.0000e-02 eta: 1 day, 3:09:59 time: 0.6420 data_time: 0.0420 memory: 13723 grad_norm: 3.8729 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.8387 loss: 1.8387 2022/08/08 21:39:34 - mmengine - INFO - Epoch(train) [15][1420/1879] lr: 2.0000e-02 eta: 1 day, 3:09:44 time: 0.5894 data_time: 0.0228 memory: 13723 grad_norm: 3.8190 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8401 loss: 1.8401 2022/08/08 21:39:46 - mmengine - INFO - Epoch(train) [15][1440/1879] lr: 2.0000e-02 eta: 1 day, 3:09:32 time: 0.6080 data_time: 0.0212 memory: 13723 grad_norm: 3.7592 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9532 loss: 1.9532 2022/08/08 21:39:58 - mmengine - INFO - Epoch(train) [15][1460/1879] lr: 2.0000e-02 eta: 1 day, 3:09:19 time: 0.6021 data_time: 0.0191 memory: 13723 grad_norm: 3.8052 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6291 loss: 1.6291 2022/08/08 21:40:10 - mmengine - INFO - Epoch(train) [15][1480/1879] lr: 2.0000e-02 eta: 1 day, 3:09:06 time: 0.6042 data_time: 0.0438 memory: 13723 grad_norm: 3.8587 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5461 loss: 1.5461 2022/08/08 21:40:22 - mmengine - INFO - Epoch(train) [15][1500/1879] lr: 2.0000e-02 eta: 1 day, 3:08:54 time: 0.6115 data_time: 0.0420 memory: 13723 grad_norm: 3.8817 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0047 loss: 2.0047 2022/08/08 21:40:35 - mmengine - INFO - Epoch(train) [15][1520/1879] lr: 2.0000e-02 eta: 1 day, 3:08:44 time: 0.6361 data_time: 0.0330 memory: 13723 grad_norm: 3.9023 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8385 loss: 1.8385 2022/08/08 21:40:46 - mmengine - INFO - Epoch(train) [15][1540/1879] lr: 2.0000e-02 eta: 1 day, 3:08:27 time: 0.5682 data_time: 0.0216 memory: 13723 grad_norm: 3.8360 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6728 loss: 1.6728 2022/08/08 21:40:58 - mmengine - INFO - Epoch(train) [15][1560/1879] lr: 2.0000e-02 eta: 1 day, 3:08:14 time: 0.5991 data_time: 0.0555 memory: 13723 grad_norm: 3.8372 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7824 loss: 1.7824 2022/08/08 21:41:10 - mmengine - INFO - Epoch(train) [15][1580/1879] lr: 2.0000e-02 eta: 1 day, 3:08:01 time: 0.6003 data_time: 0.0479 memory: 13723 grad_norm: 3.8864 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7069 loss: 1.7069 2022/08/08 21:41:22 - mmengine - INFO - Epoch(train) [15][1600/1879] lr: 2.0000e-02 eta: 1 day, 3:07:44 time: 0.5696 data_time: 0.0214 memory: 13723 grad_norm: 3.8794 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7355 loss: 1.7355 2022/08/08 21:41:33 - mmengine - INFO - Epoch(train) [15][1620/1879] lr: 2.0000e-02 eta: 1 day, 3:07:27 time: 0.5699 data_time: 0.0226 memory: 13723 grad_norm: 4.0463 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7562 loss: 1.7562 2022/08/08 21:41:45 - mmengine - INFO - Epoch(train) [15][1640/1879] lr: 2.0000e-02 eta: 1 day, 3:07:10 time: 0.5702 data_time: 0.0229 memory: 13723 grad_norm: 4.0129 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7946 loss: 1.7946 2022/08/08 21:41:56 - mmengine - INFO - Epoch(train) [15][1660/1879] lr: 2.0000e-02 eta: 1 day, 3:06:54 time: 0.5782 data_time: 0.0229 memory: 13723 grad_norm: 3.7493 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6872 loss: 1.6872 2022/08/08 21:42:08 - mmengine - INFO - Epoch(train) [15][1680/1879] lr: 2.0000e-02 eta: 1 day, 3:06:39 time: 0.5837 data_time: 0.0228 memory: 13723 grad_norm: 3.7221 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8597 loss: 1.8597 2022/08/08 21:42:17 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 21:42:20 - mmengine - INFO - Epoch(train) [15][1700/1879] lr: 2.0000e-02 eta: 1 day, 3:06:28 time: 0.6203 data_time: 0.0212 memory: 13723 grad_norm: 3.8012 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5567 loss: 1.5567 2022/08/08 21:42:32 - mmengine - INFO - Epoch(train) [15][1720/1879] lr: 2.0000e-02 eta: 1 day, 3:06:11 time: 0.5729 data_time: 0.0236 memory: 13723 grad_norm: 3.7096 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5088 loss: 1.5088 2022/08/08 21:42:44 - mmengine - INFO - Epoch(train) [15][1740/1879] lr: 2.0000e-02 eta: 1 day, 3:05:57 time: 0.5882 data_time: 0.0318 memory: 13723 grad_norm: 3.8560 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9060 loss: 1.9060 2022/08/08 21:42:55 - mmengine - INFO - Epoch(train) [15][1760/1879] lr: 2.0000e-02 eta: 1 day, 3:05:41 time: 0.5846 data_time: 0.0239 memory: 13723 grad_norm: 3.8996 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0111 loss: 2.0111 2022/08/08 21:43:07 - mmengine - INFO - Epoch(train) [15][1780/1879] lr: 2.0000e-02 eta: 1 day, 3:05:25 time: 0.5768 data_time: 0.0195 memory: 13723 grad_norm: 3.9009 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9228 loss: 1.9228 2022/08/08 21:43:19 - mmengine - INFO - Epoch(train) [15][1800/1879] lr: 2.0000e-02 eta: 1 day, 3:05:12 time: 0.6014 data_time: 0.0468 memory: 13723 grad_norm: 3.7992 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6106 loss: 1.6106 2022/08/08 21:43:31 - mmengine - INFO - Epoch(train) [15][1820/1879] lr: 2.0000e-02 eta: 1 day, 3:04:57 time: 0.5875 data_time: 0.0481 memory: 13723 grad_norm: 3.7962 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6679 loss: 1.6679 2022/08/08 21:43:42 - mmengine - INFO - Epoch(train) [15][1840/1879] lr: 2.0000e-02 eta: 1 day, 3:04:42 time: 0.5839 data_time: 0.0263 memory: 13723 grad_norm: 3.8556 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6557 loss: 1.6557 2022/08/08 21:43:54 - mmengine - INFO - Epoch(train) [15][1860/1879] lr: 2.0000e-02 eta: 1 day, 3:04:27 time: 0.5856 data_time: 0.0196 memory: 13723 grad_norm: 3.8481 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7599 loss: 1.7599 2022/08/08 21:44:04 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 21:44:04 - mmengine - INFO - Epoch(train) [15][1879/1879] lr: 2.0000e-02 eta: 1 day, 3:04:27 time: 0.5338 data_time: 0.0169 memory: 13723 grad_norm: 3.8260 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.7698 loss: 1.7698 2022/08/08 21:44:04 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/08/08 21:44:21 - mmengine - INFO - Epoch(val) [15][20/155] eta: 0:01:42 time: 0.7617 data_time: 0.6220 memory: 1829 2022/08/08 21:44:30 - mmengine - INFO - Epoch(val) [15][40/155] eta: 0:00:51 time: 0.4488 data_time: 0.3092 memory: 1829 2022/08/08 21:44:42 - mmengine - INFO - Epoch(val) [15][60/155] eta: 0:00:58 time: 0.6110 data_time: 0.4728 memory: 1829 2022/08/08 21:44:52 - mmengine - INFO - Epoch(val) [15][80/155] eta: 0:00:38 time: 0.5081 data_time: 0.3696 memory: 1829 2022/08/08 21:45:03 - mmengine - INFO - Epoch(val) [15][100/155] eta: 0:00:29 time: 0.5435 data_time: 0.4033 memory: 1829 2022/08/08 21:45:18 - mmengine - INFO - Epoch(val) [15][120/155] eta: 0:00:26 time: 0.7455 data_time: 0.6050 memory: 1829 2022/08/08 21:45:31 - mmengine - INFO - Epoch(val) [15][140/155] eta: 0:00:09 time: 0.6265 data_time: 0.4894 memory: 1829 2022/08/08 21:45:39 - mmengine - INFO - Epoch(val) [15][155/155] acc/top1: 0.5774 acc/top5: 0.8203 acc/mean1: 0.5773 2022/08/08 21:45:57 - mmengine - INFO - Epoch(train) [16][20/1879] lr: 2.0000e-02 eta: 1 day, 3:03:29 time: 0.8827 data_time: 0.1800 memory: 13723 grad_norm: 3.7108 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5135 loss: 1.5135 2022/08/08 21:46:09 - mmengine - INFO - Epoch(train) [16][40/1879] lr: 2.0000e-02 eta: 1 day, 3:03:13 time: 0.5796 data_time: 0.0246 memory: 13723 grad_norm: 3.7125 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7263 loss: 1.7263 2022/08/08 21:46:20 - mmengine - INFO - Epoch(train) [16][60/1879] lr: 2.0000e-02 eta: 1 day, 3:02:57 time: 0.5756 data_time: 0.0230 memory: 13723 grad_norm: 3.7816 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7143 loss: 1.7143 2022/08/08 21:46:32 - mmengine - INFO - Epoch(train) [16][80/1879] lr: 2.0000e-02 eta: 1 day, 3:02:43 time: 0.5968 data_time: 0.0263 memory: 13723 grad_norm: 3.9336 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7655 loss: 1.7655 2022/08/08 21:46:44 - mmengine - INFO - Epoch(train) [16][100/1879] lr: 2.0000e-02 eta: 1 day, 3:02:27 time: 0.5743 data_time: 0.0202 memory: 13723 grad_norm: 3.8371 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5550 loss: 1.5550 2022/08/08 21:46:55 - mmengine - INFO - Epoch(train) [16][120/1879] lr: 2.0000e-02 eta: 1 day, 3:02:10 time: 0.5698 data_time: 0.0235 memory: 13723 grad_norm: 3.6372 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5652 loss: 1.5652 2022/08/08 21:47:06 - mmengine - INFO - Epoch(train) [16][140/1879] lr: 2.0000e-02 eta: 1 day, 3:01:54 time: 0.5720 data_time: 0.0248 memory: 13723 grad_norm: 3.8668 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6663 loss: 1.6663 2022/08/08 21:47:18 - mmengine - INFO - Epoch(train) [16][160/1879] lr: 2.0000e-02 eta: 1 day, 3:01:41 time: 0.6064 data_time: 0.0247 memory: 13723 grad_norm: 3.8943 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5030 loss: 1.5030 2022/08/08 21:47:30 - mmengine - INFO - Epoch(train) [16][180/1879] lr: 2.0000e-02 eta: 1 day, 3:01:24 time: 0.5634 data_time: 0.0227 memory: 13723 grad_norm: 3.9474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8335 loss: 1.8335 2022/08/08 21:47:42 - mmengine - INFO - Epoch(train) [16][200/1879] lr: 2.0000e-02 eta: 1 day, 3:01:09 time: 0.5878 data_time: 0.0299 memory: 13723 grad_norm: 3.8868 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5436 loss: 1.5436 2022/08/08 21:47:54 - mmengine - INFO - Epoch(train) [16][220/1879] lr: 2.0000e-02 eta: 1 day, 3:00:59 time: 0.6270 data_time: 0.0710 memory: 13723 grad_norm: 3.8590 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6989 loss: 1.6989 2022/08/08 21:48:07 - mmengine - INFO - Epoch(train) [16][240/1879] lr: 2.0000e-02 eta: 1 day, 3:00:49 time: 0.6343 data_time: 0.0262 memory: 13723 grad_norm: 3.8587 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6913 loss: 1.6913 2022/08/08 21:48:19 - mmengine - INFO - Epoch(train) [16][260/1879] lr: 2.0000e-02 eta: 1 day, 3:00:35 time: 0.5919 data_time: 0.0437 memory: 13723 grad_norm: 3.8708 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6831 loss: 1.6831 2022/08/08 21:48:30 - mmengine - INFO - Epoch(train) [16][280/1879] lr: 2.0000e-02 eta: 1 day, 3:00:19 time: 0.5746 data_time: 0.0232 memory: 13723 grad_norm: 3.7257 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7085 loss: 1.7085 2022/08/08 21:48:42 - mmengine - INFO - Epoch(train) [16][300/1879] lr: 2.0000e-02 eta: 1 day, 3:00:03 time: 0.5763 data_time: 0.0226 memory: 13723 grad_norm: 3.7786 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7664 loss: 1.7664 2022/08/08 21:48:54 - mmengine - INFO - Epoch(train) [16][320/1879] lr: 2.0000e-02 eta: 1 day, 2:59:50 time: 0.6016 data_time: 0.0236 memory: 13723 grad_norm: 3.8742 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5757 loss: 1.5757 2022/08/08 21:49:05 - mmengine - INFO - Epoch(train) [16][340/1879] lr: 2.0000e-02 eta: 1 day, 2:59:33 time: 0.5665 data_time: 0.0235 memory: 13723 grad_norm: 3.8298 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8134 loss: 1.8134 2022/08/08 21:49:17 - mmengine - INFO - Epoch(train) [16][360/1879] lr: 2.0000e-02 eta: 1 day, 2:59:18 time: 0.5826 data_time: 0.0222 memory: 13723 grad_norm: 3.8483 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 1.7882 loss: 1.7882 2022/08/08 21:49:28 - mmengine - INFO - Epoch(train) [16][380/1879] lr: 2.0000e-02 eta: 1 day, 2:59:01 time: 0.5668 data_time: 0.0219 memory: 13723 grad_norm: 3.8634 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4817 loss: 1.4817 2022/08/08 21:49:40 - mmengine - INFO - Epoch(train) [16][400/1879] lr: 2.0000e-02 eta: 1 day, 2:58:45 time: 0.5805 data_time: 0.0222 memory: 13723 grad_norm: 3.8452 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6140 loss: 1.6140 2022/08/08 21:49:51 - mmengine - INFO - Epoch(train) [16][420/1879] lr: 2.0000e-02 eta: 1 day, 2:58:30 time: 0.5790 data_time: 0.0236 memory: 13723 grad_norm: 3.9209 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5886 loss: 1.5886 2022/08/08 21:50:04 - mmengine - INFO - Epoch(train) [16][440/1879] lr: 2.0000e-02 eta: 1 day, 2:58:21 time: 0.6371 data_time: 0.0215 memory: 13723 grad_norm: 3.8879 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6789 loss: 1.6789 2022/08/08 21:50:25 - mmengine - INFO - Epoch(train) [16][460/1879] lr: 2.0000e-02 eta: 1 day, 2:58:56 time: 1.0334 data_time: 0.1491 memory: 13723 grad_norm: 3.7120 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6762 loss: 1.6762 2022/08/08 21:50:37 - mmengine - INFO - Epoch(train) [16][480/1879] lr: 2.0000e-02 eta: 1 day, 2:58:43 time: 0.6049 data_time: 0.0184 memory: 13723 grad_norm: 3.9141 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7125 loss: 1.7125 2022/08/08 21:50:51 - mmengine - INFO - Epoch(train) [16][500/1879] lr: 2.0000e-02 eta: 1 day, 2:58:41 time: 0.7017 data_time: 0.0186 memory: 13723 grad_norm: 3.9132 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6984 loss: 1.6984 2022/08/08 21:51:02 - mmengine - INFO - Epoch(train) [16][520/1879] lr: 2.0000e-02 eta: 1 day, 2:58:24 time: 0.5657 data_time: 0.0208 memory: 13723 grad_norm: 3.8949 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8692 loss: 1.8692 2022/08/08 21:51:14 - mmengine - INFO - Epoch(train) [16][540/1879] lr: 2.0000e-02 eta: 1 day, 2:58:11 time: 0.6027 data_time: 0.0225 memory: 13723 grad_norm: 3.9247 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7348 loss: 1.7348 2022/08/08 21:51:26 - mmengine - INFO - Epoch(train) [16][560/1879] lr: 2.0000e-02 eta: 1 day, 2:57:57 time: 0.5994 data_time: 0.0203 memory: 13723 grad_norm: 3.8303 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7985 loss: 1.7985 2022/08/08 21:51:38 - mmengine - INFO - Epoch(train) [16][580/1879] lr: 2.0000e-02 eta: 1 day, 2:57:46 time: 0.6152 data_time: 0.0211 memory: 13723 grad_norm: 3.8957 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6401 loss: 1.6401 2022/08/08 21:51:50 - mmengine - INFO - Epoch(train) [16][600/1879] lr: 2.0000e-02 eta: 1 day, 2:57:29 time: 0.5735 data_time: 0.0216 memory: 13723 grad_norm: 3.7954 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6138 loss: 1.6138 2022/08/08 21:52:02 - mmengine - INFO - Epoch(train) [16][620/1879] lr: 2.0000e-02 eta: 1 day, 2:57:14 time: 0.5816 data_time: 0.0249 memory: 13723 grad_norm: 3.9247 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9319 loss: 1.9319 2022/08/08 21:52:13 - mmengine - INFO - Epoch(train) [16][640/1879] lr: 2.0000e-02 eta: 1 day, 2:57:01 time: 0.5971 data_time: 0.0231 memory: 13723 grad_norm: 3.8441 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7511 loss: 1.7511 2022/08/08 21:52:25 - mmengine - INFO - Epoch(train) [16][660/1879] lr: 2.0000e-02 eta: 1 day, 2:56:46 time: 0.5918 data_time: 0.0209 memory: 13723 grad_norm: 3.9297 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7504 loss: 1.7504 2022/08/08 21:52:37 - mmengine - INFO - Epoch(train) [16][680/1879] lr: 2.0000e-02 eta: 1 day, 2:56:30 time: 0.5733 data_time: 0.0230 memory: 13723 grad_norm: 3.7717 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7298 loss: 1.7298 2022/08/08 21:52:48 - mmengine - INFO - Epoch(train) [16][700/1879] lr: 2.0000e-02 eta: 1 day, 2:56:14 time: 0.5736 data_time: 0.0225 memory: 13723 grad_norm: 3.7934 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6158 loss: 1.6158 2022/08/08 21:53:00 - mmengine - INFO - Epoch(train) [16][720/1879] lr: 2.0000e-02 eta: 1 day, 2:55:59 time: 0.5810 data_time: 0.0239 memory: 13723 grad_norm: 3.7976 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7437 loss: 1.7437 2022/08/08 21:53:12 - mmengine - INFO - Epoch(train) [16][740/1879] lr: 2.0000e-02 eta: 1 day, 2:55:45 time: 0.5963 data_time: 0.0235 memory: 13723 grad_norm: 3.9016 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7609 loss: 1.7609 2022/08/08 21:53:23 - mmengine - INFO - Epoch(train) [16][760/1879] lr: 2.0000e-02 eta: 1 day, 2:55:28 time: 0.5642 data_time: 0.0232 memory: 13723 grad_norm: 3.8502 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7945 loss: 1.7945 2022/08/08 21:53:36 - mmengine - INFO - Epoch(train) [16][780/1879] lr: 2.0000e-02 eta: 1 day, 2:55:21 time: 0.6578 data_time: 0.0209 memory: 13723 grad_norm: 3.8393 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5660 loss: 1.5660 2022/08/08 21:53:49 - mmengine - INFO - Epoch(train) [16][800/1879] lr: 2.0000e-02 eta: 1 day, 2:55:13 time: 0.6517 data_time: 0.0196 memory: 13723 grad_norm: 3.8437 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7197 loss: 1.7197 2022/08/08 21:54:00 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 21:54:03 - mmengine - INFO - Epoch(train) [16][820/1879] lr: 2.0000e-02 eta: 1 day, 2:55:07 time: 0.6667 data_time: 0.0209 memory: 13723 grad_norm: 3.8016 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7496 loss: 1.7496 2022/08/08 21:54:16 - mmengine - INFO - Epoch(train) [16][840/1879] lr: 2.0000e-02 eta: 1 day, 2:55:02 time: 0.6721 data_time: 0.0206 memory: 13723 grad_norm: 3.8241 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6343 loss: 1.6343 2022/08/08 21:54:28 - mmengine - INFO - Epoch(train) [16][860/1879] lr: 2.0000e-02 eta: 1 day, 2:54:46 time: 0.5793 data_time: 0.0192 memory: 13723 grad_norm: 3.9223 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8193 loss: 1.8193 2022/08/08 21:54:39 - mmengine - INFO - Epoch(train) [16][880/1879] lr: 2.0000e-02 eta: 1 day, 2:54:31 time: 0.5787 data_time: 0.0269 memory: 13723 grad_norm: 3.8957 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6124 loss: 1.6124 2022/08/08 21:54:52 - mmengine - INFO - Epoch(train) [16][900/1879] lr: 2.0000e-02 eta: 1 day, 2:54:20 time: 0.6234 data_time: 0.0172 memory: 13723 grad_norm: 3.8009 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7228 loss: 1.7228 2022/08/08 21:55:04 - mmengine - INFO - Epoch(train) [16][920/1879] lr: 2.0000e-02 eta: 1 day, 2:54:06 time: 0.5953 data_time: 0.0247 memory: 13723 grad_norm: 3.8261 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6558 loss: 1.6558 2022/08/08 21:55:18 - mmengine - INFO - Epoch(train) [16][940/1879] lr: 2.0000e-02 eta: 1 day, 2:54:08 time: 0.7373 data_time: 0.1676 memory: 13723 grad_norm: 3.8888 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5333 loss: 1.5333 2022/08/08 21:55:30 - mmengine - INFO - Epoch(train) [16][960/1879] lr: 2.0000e-02 eta: 1 day, 2:53:52 time: 0.5809 data_time: 0.0254 memory: 13723 grad_norm: 3.8346 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6766 loss: 1.6766 2022/08/08 21:55:43 - mmengine - INFO - Epoch(train) [16][980/1879] lr: 2.0000e-02 eta: 1 day, 2:53:43 time: 0.6379 data_time: 0.0181 memory: 13723 grad_norm: 3.8404 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6655 loss: 1.6655 2022/08/08 21:55:54 - mmengine - INFO - Epoch(train) [16][1000/1879] lr: 2.0000e-02 eta: 1 day, 2:53:27 time: 0.5735 data_time: 0.0238 memory: 13723 grad_norm: 3.8928 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7170 loss: 1.7170 2022/08/08 21:56:06 - mmengine - INFO - Epoch(train) [16][1020/1879] lr: 2.0000e-02 eta: 1 day, 2:53:10 time: 0.5687 data_time: 0.0204 memory: 13723 grad_norm: 4.0123 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8736 loss: 1.8736 2022/08/08 21:56:17 - mmengine - INFO - Epoch(train) [16][1040/1879] lr: 2.0000e-02 eta: 1 day, 2:52:56 time: 0.5891 data_time: 0.0242 memory: 13723 grad_norm: 3.7786 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6974 loss: 1.6974 2022/08/08 21:56:29 - mmengine - INFO - Epoch(train) [16][1060/1879] lr: 2.0000e-02 eta: 1 day, 2:52:39 time: 0.5654 data_time: 0.0225 memory: 13723 grad_norm: 3.7898 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4727 loss: 1.4727 2022/08/08 21:56:41 - mmengine - INFO - Epoch(train) [16][1080/1879] lr: 2.0000e-02 eta: 1 day, 2:52:29 time: 0.6331 data_time: 0.0251 memory: 13723 grad_norm: 3.8717 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5855 loss: 1.5855 2022/08/08 21:56:53 - mmengine - INFO - Epoch(train) [16][1100/1879] lr: 2.0000e-02 eta: 1 day, 2:52:13 time: 0.5695 data_time: 0.0197 memory: 13723 grad_norm: 3.8581 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7095 loss: 1.7095 2022/08/08 21:57:04 - mmengine - INFO - Epoch(train) [16][1120/1879] lr: 2.0000e-02 eta: 1 day, 2:51:56 time: 0.5699 data_time: 0.0232 memory: 13723 grad_norm: 3.8270 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7259 loss: 1.7259 2022/08/08 21:57:16 - mmengine - INFO - Epoch(train) [16][1140/1879] lr: 2.0000e-02 eta: 1 day, 2:51:44 time: 0.6083 data_time: 0.0224 memory: 13723 grad_norm: 3.9857 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.6360 loss: 1.6360 2022/08/08 21:57:29 - mmengine - INFO - Epoch(train) [16][1160/1879] lr: 2.0000e-02 eta: 1 day, 2:51:36 time: 0.6495 data_time: 0.0227 memory: 13723 grad_norm: 3.8773 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7608 loss: 1.7608 2022/08/08 21:57:41 - mmengine - INFO - Epoch(train) [16][1180/1879] lr: 2.0000e-02 eta: 1 day, 2:51:19 time: 0.5669 data_time: 0.0181 memory: 13723 grad_norm: 3.7763 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7012 loss: 1.7012 2022/08/08 21:57:52 - mmengine - INFO - Epoch(train) [16][1200/1879] lr: 2.0000e-02 eta: 1 day, 2:51:04 time: 0.5811 data_time: 0.0251 memory: 13723 grad_norm: 3.7393 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8017 loss: 1.8017 2022/08/08 21:58:04 - mmengine - INFO - Epoch(train) [16][1220/1879] lr: 2.0000e-02 eta: 1 day, 2:50:48 time: 0.5738 data_time: 0.0260 memory: 13723 grad_norm: 3.7027 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.6236 loss: 1.6236 2022/08/08 21:58:15 - mmengine - INFO - Epoch(train) [16][1240/1879] lr: 2.0000e-02 eta: 1 day, 2:50:32 time: 0.5799 data_time: 0.0267 memory: 13723 grad_norm: 3.8059 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6416 loss: 1.6416 2022/08/08 21:58:27 - mmengine - INFO - Epoch(train) [16][1260/1879] lr: 2.0000e-02 eta: 1 day, 2:50:16 time: 0.5757 data_time: 0.0232 memory: 13723 grad_norm: 3.8275 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6948 loss: 1.6948 2022/08/08 21:58:38 - mmengine - INFO - Epoch(train) [16][1280/1879] lr: 2.0000e-02 eta: 1 day, 2:50:00 time: 0.5741 data_time: 0.0265 memory: 13723 grad_norm: 3.7645 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5243 loss: 1.5243 2022/08/08 21:58:50 - mmengine - INFO - Epoch(train) [16][1300/1879] lr: 2.0000e-02 eta: 1 day, 2:49:45 time: 0.5765 data_time: 0.0195 memory: 13723 grad_norm: 3.8545 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7580 loss: 1.7580 2022/08/08 21:59:01 - mmengine - INFO - Epoch(train) [16][1320/1879] lr: 2.0000e-02 eta: 1 day, 2:49:29 time: 0.5759 data_time: 0.0259 memory: 13723 grad_norm: 3.7724 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5941 loss: 1.5941 2022/08/08 21:59:13 - mmengine - INFO - Epoch(train) [16][1340/1879] lr: 2.0000e-02 eta: 1 day, 2:49:13 time: 0.5730 data_time: 0.0243 memory: 13723 grad_norm: 3.7944 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5830 loss: 1.5830 2022/08/08 21:59:24 - mmengine - INFO - Epoch(train) [16][1360/1879] lr: 2.0000e-02 eta: 1 day, 2:48:57 time: 0.5767 data_time: 0.0260 memory: 13723 grad_norm: 3.8103 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5784 loss: 1.5784 2022/08/08 21:59:37 - mmengine - INFO - Epoch(train) [16][1380/1879] lr: 2.0000e-02 eta: 1 day, 2:48:48 time: 0.6425 data_time: 0.0187 memory: 13723 grad_norm: 3.8196 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7694 loss: 1.7694 2022/08/08 21:59:49 - mmengine - INFO - Epoch(train) [16][1400/1879] lr: 2.0000e-02 eta: 1 day, 2:48:32 time: 0.5716 data_time: 0.0207 memory: 13723 grad_norm: 3.9321 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7569 loss: 1.7569 2022/08/08 22:00:00 - mmengine - INFO - Epoch(train) [16][1420/1879] lr: 2.0000e-02 eta: 1 day, 2:48:17 time: 0.5799 data_time: 0.0216 memory: 13723 grad_norm: 3.8101 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7061 loss: 1.7061 2022/08/08 22:00:12 - mmengine - INFO - Epoch(train) [16][1440/1879] lr: 2.0000e-02 eta: 1 day, 2:48:03 time: 0.5973 data_time: 0.0236 memory: 13723 grad_norm: 3.8395 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7427 loss: 1.7427 2022/08/08 22:00:25 - mmengine - INFO - Epoch(train) [16][1460/1879] lr: 2.0000e-02 eta: 1 day, 2:47:51 time: 0.6085 data_time: 0.0225 memory: 13723 grad_norm: 3.9248 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6867 loss: 1.6867 2022/08/08 22:00:36 - mmengine - INFO - Epoch(train) [16][1480/1879] lr: 2.0000e-02 eta: 1 day, 2:47:37 time: 0.5939 data_time: 0.0215 memory: 13723 grad_norm: 3.9226 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6530 loss: 1.6530 2022/08/08 22:00:49 - mmengine - INFO - Epoch(train) [16][1500/1879] lr: 2.0000e-02 eta: 1 day, 2:47:28 time: 0.6398 data_time: 0.0226 memory: 13723 grad_norm: 3.9287 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6068 loss: 1.6068 2022/08/08 22:01:01 - mmengine - INFO - Epoch(train) [16][1520/1879] lr: 2.0000e-02 eta: 1 day, 2:47:12 time: 0.5700 data_time: 0.0214 memory: 13723 grad_norm: 3.8340 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6401 loss: 1.6401 2022/08/08 22:01:13 - mmengine - INFO - Epoch(train) [16][1540/1879] lr: 2.0000e-02 eta: 1 day, 2:46:59 time: 0.6099 data_time: 0.0225 memory: 13723 grad_norm: 3.8366 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6226 loss: 1.6226 2022/08/08 22:01:24 - mmengine - INFO - Epoch(train) [16][1560/1879] lr: 2.0000e-02 eta: 1 day, 2:46:44 time: 0.5821 data_time: 0.0265 memory: 13723 grad_norm: 3.8488 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8195 loss: 1.8195 2022/08/08 22:01:36 - mmengine - INFO - Epoch(train) [16][1580/1879] lr: 2.0000e-02 eta: 1 day, 2:46:30 time: 0.5851 data_time: 0.0211 memory: 13723 grad_norm: 3.8788 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7487 loss: 1.7487 2022/08/08 22:01:48 - mmengine - INFO - Epoch(train) [16][1600/1879] lr: 2.0000e-02 eta: 1 day, 2:46:13 time: 0.5720 data_time: 0.0239 memory: 13723 grad_norm: 3.7936 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7672 loss: 1.7672 2022/08/08 22:01:59 - mmengine - INFO - Epoch(train) [16][1620/1879] lr: 2.0000e-02 eta: 1 day, 2:45:57 time: 0.5748 data_time: 0.0222 memory: 13723 grad_norm: 3.7956 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6353 loss: 1.6353 2022/08/08 22:02:10 - mmengine - INFO - Epoch(train) [16][1640/1879] lr: 2.0000e-02 eta: 1 day, 2:45:41 time: 0.5645 data_time: 0.0229 memory: 13723 grad_norm: 3.8640 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6571 loss: 1.6571 2022/08/08 22:02:22 - mmengine - INFO - Epoch(train) [16][1660/1879] lr: 2.0000e-02 eta: 1 day, 2:45:26 time: 0.5907 data_time: 0.0236 memory: 13723 grad_norm: 4.0495 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9010 loss: 1.9010 2022/08/08 22:02:34 - mmengine - INFO - Epoch(train) [16][1680/1879] lr: 2.0000e-02 eta: 1 day, 2:45:09 time: 0.5638 data_time: 0.0226 memory: 13723 grad_norm: 3.9922 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6072 loss: 1.6072 2022/08/08 22:02:45 - mmengine - INFO - Epoch(train) [16][1700/1879] lr: 2.0000e-02 eta: 1 day, 2:44:54 time: 0.5802 data_time: 0.0245 memory: 13723 grad_norm: 3.8933 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7012 loss: 1.7012 2022/08/08 22:02:57 - mmengine - INFO - Epoch(train) [16][1720/1879] lr: 2.0000e-02 eta: 1 day, 2:44:42 time: 0.6133 data_time: 0.0238 memory: 13723 grad_norm: 3.7141 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4934 loss: 1.4934 2022/08/08 22:03:09 - mmengine - INFO - Epoch(train) [16][1740/1879] lr: 2.0000e-02 eta: 1 day, 2:44:26 time: 0.5727 data_time: 0.0190 memory: 13723 grad_norm: 3.8046 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.5660 loss: 1.5660 2022/08/08 22:03:22 - mmengine - INFO - Epoch(train) [16][1760/1879] lr: 2.0000e-02 eta: 1 day, 2:44:19 time: 0.6576 data_time: 0.0225 memory: 13723 grad_norm: 3.9611 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0434 loss: 2.0434 2022/08/08 22:03:33 - mmengine - INFO - Epoch(train) [16][1780/1879] lr: 2.0000e-02 eta: 1 day, 2:44:02 time: 0.5623 data_time: 0.0204 memory: 13723 grad_norm: 3.7926 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.6112 loss: 1.6112 2022/08/08 22:03:45 - mmengine - INFO - Epoch(train) [16][1800/1879] lr: 2.0000e-02 eta: 1 day, 2:43:46 time: 0.5702 data_time: 0.0231 memory: 13723 grad_norm: 3.7751 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7251 loss: 1.7251 2022/08/08 22:03:54 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 22:03:57 - mmengine - INFO - Epoch(train) [16][1820/1879] lr: 2.0000e-02 eta: 1 day, 2:43:34 time: 0.6170 data_time: 0.0223 memory: 13723 grad_norm: 3.8004 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7907 loss: 1.7907 2022/08/08 22:04:08 - mmengine - INFO - Epoch(train) [16][1840/1879] lr: 2.0000e-02 eta: 1 day, 2:43:18 time: 0.5664 data_time: 0.0240 memory: 13723 grad_norm: 3.7676 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4894 loss: 1.4894 2022/08/08 22:04:20 - mmengine - INFO - Epoch(train) [16][1860/1879] lr: 2.0000e-02 eta: 1 day, 2:43:02 time: 0.5773 data_time: 0.0225 memory: 13723 grad_norm: 3.8777 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7974 loss: 1.7974 2022/08/08 22:04:30 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 22:04:30 - mmengine - INFO - Epoch(train) [16][1879/1879] lr: 2.0000e-02 eta: 1 day, 2:43:02 time: 0.5291 data_time: 0.0173 memory: 13723 grad_norm: 3.9245 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.8284 loss: 1.8284 2022/08/08 22:04:43 - mmengine - INFO - Epoch(val) [16][20/155] eta: 0:01:26 time: 0.6438 data_time: 0.5008 memory: 1829 2022/08/08 22:04:55 - mmengine - INFO - Epoch(val) [16][40/155] eta: 0:01:08 time: 0.5971 data_time: 0.4576 memory: 1829 2022/08/08 22:05:07 - mmengine - INFO - Epoch(val) [16][60/155] eta: 0:00:59 time: 0.6212 data_time: 0.4613 memory: 1829 2022/08/08 22:05:18 - mmengine - INFO - Epoch(val) [16][80/155] eta: 0:00:41 time: 0.5582 data_time: 0.4205 memory: 1829 2022/08/08 22:05:29 - mmengine - INFO - Epoch(val) [16][100/155] eta: 0:00:30 time: 0.5466 data_time: 0.4071 memory: 1829 2022/08/08 22:05:43 - mmengine - INFO - Epoch(val) [16][120/155] eta: 0:00:24 time: 0.6990 data_time: 0.5595 memory: 1829 2022/08/08 22:05:52 - mmengine - INFO - Epoch(val) [16][140/155] eta: 0:00:06 time: 0.4550 data_time: 0.3178 memory: 1829 2022/08/08 22:06:00 - mmengine - INFO - Epoch(val) [16][155/155] acc/top1: 0.5938 acc/top5: 0.8271 acc/mean1: 0.5936 2022/08/08 22:06:00 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_15.pth is removed 2022/08/08 22:06:01 - mmengine - INFO - The best checkpoint with 0.5938 acc/top1 at 17 epoch is saved to best_acc/top1_epoch_17.pth. 2022/08/08 22:06:18 - mmengine - INFO - Epoch(train) [17][20/1879] lr: 2.0000e-02 eta: 1 day, 2:42:04 time: 0.8585 data_time: 0.1998 memory: 13723 grad_norm: 3.7243 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8147 loss: 1.8147 2022/08/08 22:06:30 - mmengine - INFO - Epoch(train) [17][40/1879] lr: 2.0000e-02 eta: 1 day, 2:41:48 time: 0.5725 data_time: 0.0220 memory: 13723 grad_norm: 3.7650 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6470 loss: 1.6470 2022/08/08 22:06:41 - mmengine - INFO - Epoch(train) [17][60/1879] lr: 2.0000e-02 eta: 1 day, 2:41:32 time: 0.5727 data_time: 0.0223 memory: 13723 grad_norm: 3.8020 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6614 loss: 1.6614 2022/08/08 22:06:53 - mmengine - INFO - Epoch(train) [17][80/1879] lr: 2.0000e-02 eta: 1 day, 2:41:16 time: 0.5716 data_time: 0.0251 memory: 13723 grad_norm: 3.8471 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6943 loss: 1.6943 2022/08/08 22:07:04 - mmengine - INFO - Epoch(train) [17][100/1879] lr: 2.0000e-02 eta: 1 day, 2:41:00 time: 0.5742 data_time: 0.0234 memory: 13723 grad_norm: 3.8653 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4643 loss: 1.4643 2022/08/08 22:07:15 - mmengine - INFO - Epoch(train) [17][120/1879] lr: 2.0000e-02 eta: 1 day, 2:40:43 time: 0.5689 data_time: 0.0228 memory: 13723 grad_norm: 3.7499 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5203 loss: 1.5203 2022/08/08 22:07:27 - mmengine - INFO - Epoch(train) [17][140/1879] lr: 2.0000e-02 eta: 1 day, 2:40:28 time: 0.5802 data_time: 0.0231 memory: 13723 grad_norm: 3.8540 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5834 loss: 1.5834 2022/08/08 22:07:39 - mmengine - INFO - Epoch(train) [17][160/1879] lr: 2.0000e-02 eta: 1 day, 2:40:12 time: 0.5734 data_time: 0.0230 memory: 13723 grad_norm: 3.8092 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7493 loss: 1.7493 2022/08/08 22:07:51 - mmengine - INFO - Epoch(train) [17][180/1879] lr: 2.0000e-02 eta: 1 day, 2:40:02 time: 0.6294 data_time: 0.0347 memory: 13723 grad_norm: 3.8764 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7972 loss: 1.7972 2022/08/08 22:08:03 - mmengine - INFO - Epoch(train) [17][200/1879] lr: 2.0000e-02 eta: 1 day, 2:39:46 time: 0.5712 data_time: 0.0226 memory: 13723 grad_norm: 3.8605 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5497 loss: 1.5497 2022/08/08 22:08:14 - mmengine - INFO - Epoch(train) [17][220/1879] lr: 2.0000e-02 eta: 1 day, 2:39:30 time: 0.5709 data_time: 0.0238 memory: 13723 grad_norm: 3.8882 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6031 loss: 1.6031 2022/08/08 22:08:25 - mmengine - INFO - Epoch(train) [17][240/1879] lr: 2.0000e-02 eta: 1 day, 2:39:14 time: 0.5740 data_time: 0.0230 memory: 13723 grad_norm: 3.8487 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6753 loss: 1.6753 2022/08/08 22:08:37 - mmengine - INFO - Epoch(train) [17][260/1879] lr: 2.0000e-02 eta: 1 day, 2:38:59 time: 0.5785 data_time: 0.0240 memory: 13723 grad_norm: 3.8326 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6473 loss: 1.6473 2022/08/08 22:08:49 - mmengine - INFO - Epoch(train) [17][280/1879] lr: 2.0000e-02 eta: 1 day, 2:38:46 time: 0.6059 data_time: 0.0225 memory: 13723 grad_norm: 3.9139 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8621 loss: 1.8621 2022/08/08 22:09:01 - mmengine - INFO - Epoch(train) [17][300/1879] lr: 2.0000e-02 eta: 1 day, 2:38:31 time: 0.5764 data_time: 0.0212 memory: 13723 grad_norm: 3.7841 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6363 loss: 1.6363 2022/08/08 22:09:13 - mmengine - INFO - Epoch(train) [17][320/1879] lr: 2.0000e-02 eta: 1 day, 2:38:17 time: 0.5924 data_time: 0.0245 memory: 13723 grad_norm: 3.7867 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4991 loss: 1.4991 2022/08/08 22:09:25 - mmengine - INFO - Epoch(train) [17][340/1879] lr: 2.0000e-02 eta: 1 day, 2:38:06 time: 0.6245 data_time: 0.0216 memory: 13723 grad_norm: 3.8044 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6058 loss: 1.6058 2022/08/08 22:09:37 - mmengine - INFO - Epoch(train) [17][360/1879] lr: 2.0000e-02 eta: 1 day, 2:37:52 time: 0.5831 data_time: 0.0221 memory: 13723 grad_norm: 3.8483 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5138 loss: 1.5138 2022/08/08 22:09:48 - mmengine - INFO - Epoch(train) [17][380/1879] lr: 2.0000e-02 eta: 1 day, 2:37:36 time: 0.5742 data_time: 0.0216 memory: 13723 grad_norm: 3.7760 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6036 loss: 1.6036 2022/08/08 22:10:00 - mmengine - INFO - Epoch(train) [17][400/1879] lr: 2.0000e-02 eta: 1 day, 2:37:23 time: 0.6026 data_time: 0.0237 memory: 13723 grad_norm: 3.9230 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4405 loss: 1.4405 2022/08/08 22:10:12 - mmengine - INFO - Epoch(train) [17][420/1879] lr: 2.0000e-02 eta: 1 day, 2:37:07 time: 0.5707 data_time: 0.0268 memory: 13723 grad_norm: 3.7588 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6616 loss: 1.6616 2022/08/08 22:10:26 - mmengine - INFO - Epoch(train) [17][440/1879] lr: 2.0000e-02 eta: 1 day, 2:37:04 time: 0.6962 data_time: 0.0213 memory: 13723 grad_norm: 3.9477 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7398 loss: 1.7398 2022/08/08 22:10:37 - mmengine - INFO - Epoch(train) [17][460/1879] lr: 2.0000e-02 eta: 1 day, 2:36:48 time: 0.5731 data_time: 0.0222 memory: 13723 grad_norm: 3.9293 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5928 loss: 1.5928 2022/08/08 22:10:49 - mmengine - INFO - Epoch(train) [17][480/1879] lr: 2.0000e-02 eta: 1 day, 2:36:32 time: 0.5745 data_time: 0.0232 memory: 13723 grad_norm: 3.6915 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4596 loss: 1.4596 2022/08/08 22:11:00 - mmengine - INFO - Epoch(train) [17][500/1879] lr: 2.0000e-02 eta: 1 day, 2:36:16 time: 0.5689 data_time: 0.0243 memory: 13723 grad_norm: 3.9104 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7507 loss: 1.7507 2022/08/08 22:11:12 - mmengine - INFO - Epoch(train) [17][520/1879] lr: 2.0000e-02 eta: 1 day, 2:36:01 time: 0.5848 data_time: 0.0211 memory: 13723 grad_norm: 3.9454 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5194 loss: 1.5194 2022/08/08 22:11:27 - mmengine - INFO - Epoch(train) [17][540/1879] lr: 2.0000e-02 eta: 1 day, 2:36:04 time: 0.7589 data_time: 0.0206 memory: 13723 grad_norm: 3.9689 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5984 loss: 1.5984 2022/08/08 22:11:38 - mmengine - INFO - Epoch(train) [17][560/1879] lr: 2.0000e-02 eta: 1 day, 2:35:48 time: 0.5695 data_time: 0.0217 memory: 13723 grad_norm: 3.7847 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5403 loss: 1.5403 2022/08/08 22:11:51 - mmengine - INFO - Epoch(train) [17][580/1879] lr: 2.0000e-02 eta: 1 day, 2:35:41 time: 0.6569 data_time: 0.1129 memory: 13723 grad_norm: 3.9514 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6544 loss: 1.6544 2022/08/08 22:12:03 - mmengine - INFO - Epoch(train) [17][600/1879] lr: 2.0000e-02 eta: 1 day, 2:35:26 time: 0.5779 data_time: 0.0229 memory: 13723 grad_norm: 3.8349 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4961 loss: 1.4961 2022/08/08 22:12:15 - mmengine - INFO - Epoch(train) [17][620/1879] lr: 2.0000e-02 eta: 1 day, 2:35:12 time: 0.5988 data_time: 0.0514 memory: 13723 grad_norm: 3.7859 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4732 loss: 1.4732 2022/08/08 22:12:28 - mmengine - INFO - Epoch(train) [17][640/1879] lr: 2.0000e-02 eta: 1 day, 2:35:04 time: 0.6485 data_time: 0.0968 memory: 13723 grad_norm: 3.8551 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.5138 loss: 1.5138 2022/08/08 22:12:39 - mmengine - INFO - Epoch(train) [17][660/1879] lr: 2.0000e-02 eta: 1 day, 2:34:48 time: 0.5672 data_time: 0.0197 memory: 13723 grad_norm: 3.9012 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8046 loss: 1.8046 2022/08/08 22:12:50 - mmengine - INFO - Epoch(train) [17][680/1879] lr: 2.0000e-02 eta: 1 day, 2:34:31 time: 0.5612 data_time: 0.0225 memory: 13723 grad_norm: 3.8417 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8541 loss: 1.8541 2022/08/08 22:13:02 - mmengine - INFO - Epoch(train) [17][700/1879] lr: 2.0000e-02 eta: 1 day, 2:34:15 time: 0.5764 data_time: 0.0240 memory: 13723 grad_norm: 3.8491 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5758 loss: 1.5758 2022/08/08 22:13:14 - mmengine - INFO - Epoch(train) [17][720/1879] lr: 2.0000e-02 eta: 1 day, 2:34:00 time: 0.5754 data_time: 0.0238 memory: 13723 grad_norm: 3.7778 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5612 loss: 1.5612 2022/08/08 22:13:25 - mmengine - INFO - Epoch(train) [17][740/1879] lr: 2.0000e-02 eta: 1 day, 2:33:44 time: 0.5718 data_time: 0.0215 memory: 13723 grad_norm: 3.8413 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6576 loss: 1.6576 2022/08/08 22:13:36 - mmengine - INFO - Epoch(train) [17][760/1879] lr: 2.0000e-02 eta: 1 day, 2:33:28 time: 0.5706 data_time: 0.0231 memory: 13723 grad_norm: 3.8802 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.4865 loss: 1.4865 2022/08/08 22:13:48 - mmengine - INFO - Epoch(train) [17][780/1879] lr: 2.0000e-02 eta: 1 day, 2:33:12 time: 0.5715 data_time: 0.0222 memory: 13723 grad_norm: 3.9429 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5656 loss: 1.5656 2022/08/08 22:13:59 - mmengine - INFO - Epoch(train) [17][800/1879] lr: 2.0000e-02 eta: 1 day, 2:32:56 time: 0.5721 data_time: 0.0247 memory: 13723 grad_norm: 3.9165 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6532 loss: 1.6532 2022/08/08 22:14:11 - mmengine - INFO - Epoch(train) [17][820/1879] lr: 2.0000e-02 eta: 1 day, 2:32:40 time: 0.5749 data_time: 0.0225 memory: 13723 grad_norm: 3.7292 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6383 loss: 1.6383 2022/08/08 22:14:23 - mmengine - INFO - Epoch(train) [17][840/1879] lr: 2.0000e-02 eta: 1 day, 2:32:26 time: 0.5893 data_time: 0.0231 memory: 13723 grad_norm: 3.8344 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6545 loss: 1.6545 2022/08/08 22:14:34 - mmengine - INFO - Epoch(train) [17][860/1879] lr: 2.0000e-02 eta: 1 day, 2:32:12 time: 0.5923 data_time: 0.0227 memory: 13723 grad_norm: 3.8225 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7736 loss: 1.7736 2022/08/08 22:14:46 - mmengine - INFO - Epoch(train) [17][880/1879] lr: 2.0000e-02 eta: 1 day, 2:31:58 time: 0.5913 data_time: 0.0223 memory: 13723 grad_norm: 3.7663 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6460 loss: 1.6460 2022/08/08 22:14:58 - mmengine - INFO - Epoch(train) [17][900/1879] lr: 2.0000e-02 eta: 1 day, 2:31:45 time: 0.5976 data_time: 0.0228 memory: 13723 grad_norm: 3.8851 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.7320 loss: 1.7320 2022/08/08 22:15:14 - mmengine - INFO - Epoch(train) [17][920/1879] lr: 2.0000e-02 eta: 1 day, 2:31:52 time: 0.7981 data_time: 0.2135 memory: 13723 grad_norm: 3.6945 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7420 loss: 1.7420 2022/08/08 22:15:25 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 22:15:27 - mmengine - INFO - Epoch(train) [17][940/1879] lr: 2.0000e-02 eta: 1 day, 2:31:43 time: 0.6387 data_time: 0.0191 memory: 13723 grad_norm: 3.8576 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6474 loss: 1.6474 2022/08/08 22:15:38 - mmengine - INFO - Epoch(train) [17][960/1879] lr: 2.0000e-02 eta: 1 day, 2:31:27 time: 0.5701 data_time: 0.0230 memory: 13723 grad_norm: 3.8494 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7523 loss: 1.7523 2022/08/08 22:15:50 - mmengine - INFO - Epoch(train) [17][980/1879] lr: 2.0000e-02 eta: 1 day, 2:31:12 time: 0.5760 data_time: 0.0236 memory: 13723 grad_norm: 3.7969 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7873 loss: 1.7873 2022/08/08 22:16:01 - mmengine - INFO - Epoch(train) [17][1000/1879] lr: 2.0000e-02 eta: 1 day, 2:30:56 time: 0.5781 data_time: 0.0216 memory: 13723 grad_norm: 3.9227 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7087 loss: 1.7087 2022/08/08 22:16:13 - mmengine - INFO - Epoch(train) [17][1020/1879] lr: 2.0000e-02 eta: 1 day, 2:30:41 time: 0.5822 data_time: 0.0231 memory: 13723 grad_norm: 3.7642 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6649 loss: 1.6649 2022/08/08 22:16:26 - mmengine - INFO - Epoch(train) [17][1040/1879] lr: 2.0000e-02 eta: 1 day, 2:30:31 time: 0.6262 data_time: 0.0207 memory: 13723 grad_norm: 3.7237 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4364 loss: 1.4364 2022/08/08 22:16:37 - mmengine - INFO - Epoch(train) [17][1060/1879] lr: 2.0000e-02 eta: 1 day, 2:30:15 time: 0.5706 data_time: 0.0254 memory: 13723 grad_norm: 3.8632 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6204 loss: 1.6204 2022/08/08 22:16:49 - mmengine - INFO - Epoch(train) [17][1080/1879] lr: 2.0000e-02 eta: 1 day, 2:30:00 time: 0.5830 data_time: 0.0225 memory: 13723 grad_norm: 3.9041 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6904 loss: 1.6904 2022/08/08 22:17:00 - mmengine - INFO - Epoch(train) [17][1100/1879] lr: 2.0000e-02 eta: 1 day, 2:29:44 time: 0.5674 data_time: 0.0220 memory: 13723 grad_norm: 3.7813 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6297 loss: 1.6297 2022/08/08 22:17:12 - mmengine - INFO - Epoch(train) [17][1120/1879] lr: 2.0000e-02 eta: 1 day, 2:29:28 time: 0.5726 data_time: 0.0233 memory: 13723 grad_norm: 3.7370 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6946 loss: 1.6946 2022/08/08 22:17:24 - mmengine - INFO - Epoch(train) [17][1140/1879] lr: 2.0000e-02 eta: 1 day, 2:29:16 time: 0.6128 data_time: 0.0218 memory: 13723 grad_norm: 3.7628 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6064 loss: 1.6064 2022/08/08 22:17:35 - mmengine - INFO - Epoch(train) [17][1160/1879] lr: 2.0000e-02 eta: 1 day, 2:29:01 time: 0.5716 data_time: 0.0236 memory: 13723 grad_norm: 3.8152 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9879 loss: 1.9879 2022/08/08 22:17:48 - mmengine - INFO - Epoch(train) [17][1180/1879] lr: 2.0000e-02 eta: 1 day, 2:28:49 time: 0.6146 data_time: 0.0220 memory: 13723 grad_norm: 3.7947 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7414 loss: 1.7414 2022/08/08 22:17:59 - mmengine - INFO - Epoch(train) [17][1200/1879] lr: 2.0000e-02 eta: 1 day, 2:28:35 time: 0.5923 data_time: 0.0235 memory: 13723 grad_norm: 3.7886 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5612 loss: 1.5612 2022/08/08 22:18:11 - mmengine - INFO - Epoch(train) [17][1220/1879] lr: 2.0000e-02 eta: 1 day, 2:28:21 time: 0.5917 data_time: 0.0218 memory: 13723 grad_norm: 3.7615 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4564 loss: 1.4564 2022/08/08 22:18:24 - mmengine - INFO - Epoch(train) [17][1240/1879] lr: 2.0000e-02 eta: 1 day, 2:28:11 time: 0.6312 data_time: 0.0215 memory: 13723 grad_norm: 3.7400 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5640 loss: 1.5640 2022/08/08 22:18:36 - mmengine - INFO - Epoch(train) [17][1260/1879] lr: 2.0000e-02 eta: 1 day, 2:27:58 time: 0.6001 data_time: 0.0212 memory: 13723 grad_norm: 3.8462 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6750 loss: 1.6750 2022/08/08 22:18:48 - mmengine - INFO - Epoch(train) [17][1280/1879] lr: 2.0000e-02 eta: 1 day, 2:27:44 time: 0.5834 data_time: 0.0190 memory: 13723 grad_norm: 3.7841 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5916 loss: 1.5916 2022/08/08 22:18:59 - mmengine - INFO - Epoch(train) [17][1300/1879] lr: 2.0000e-02 eta: 1 day, 2:27:28 time: 0.5719 data_time: 0.0235 memory: 13723 grad_norm: 3.8246 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6806 loss: 1.6806 2022/08/08 22:19:10 - mmengine - INFO - Epoch(train) [17][1320/1879] lr: 2.0000e-02 eta: 1 day, 2:27:12 time: 0.5696 data_time: 0.0232 memory: 13723 grad_norm: 3.7685 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6250 loss: 1.6250 2022/08/08 22:19:22 - mmengine - INFO - Epoch(train) [17][1340/1879] lr: 2.0000e-02 eta: 1 day, 2:26:57 time: 0.5774 data_time: 0.0242 memory: 13723 grad_norm: 3.9166 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7802 loss: 1.7802 2022/08/08 22:19:33 - mmengine - INFO - Epoch(train) [17][1360/1879] lr: 2.0000e-02 eta: 1 day, 2:26:41 time: 0.5785 data_time: 0.0246 memory: 13723 grad_norm: 3.8130 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7271 loss: 1.7271 2022/08/08 22:19:45 - mmengine - INFO - Epoch(train) [17][1380/1879] lr: 2.0000e-02 eta: 1 day, 2:26:26 time: 0.5717 data_time: 0.0216 memory: 13723 grad_norm: 3.7895 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.7487 loss: 1.7487 2022/08/08 22:19:57 - mmengine - INFO - Epoch(train) [17][1400/1879] lr: 2.0000e-02 eta: 1 day, 2:26:12 time: 0.5894 data_time: 0.0347 memory: 13723 grad_norm: 3.8840 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7281 loss: 1.7281 2022/08/08 22:20:09 - mmengine - INFO - Epoch(train) [17][1420/1879] lr: 2.0000e-02 eta: 1 day, 2:25:58 time: 0.5967 data_time: 0.0230 memory: 13723 grad_norm: 3.8058 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.8094 loss: 1.8094 2022/08/08 22:20:21 - mmengine - INFO - Epoch(train) [17][1440/1879] lr: 2.0000e-02 eta: 1 day, 2:25:44 time: 0.5920 data_time: 0.0262 memory: 13723 grad_norm: 3.7892 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7056 loss: 1.7056 2022/08/08 22:20:33 - mmengine - INFO - Epoch(train) [17][1460/1879] lr: 2.0000e-02 eta: 1 day, 2:25:36 time: 0.6476 data_time: 0.0196 memory: 13723 grad_norm: 3.8227 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.6814 loss: 1.6814 2022/08/08 22:20:48 - mmengine - INFO - Epoch(train) [17][1480/1879] lr: 2.0000e-02 eta: 1 day, 2:25:34 time: 0.7106 data_time: 0.0207 memory: 13723 grad_norm: 3.8914 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7550 loss: 1.7550 2022/08/08 22:20:59 - mmengine - INFO - Epoch(train) [17][1500/1879] lr: 2.0000e-02 eta: 1 day, 2:25:18 time: 0.5715 data_time: 0.0209 memory: 13723 grad_norm: 3.8442 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7074 loss: 1.7074 2022/08/08 22:21:11 - mmengine - INFO - Epoch(train) [17][1520/1879] lr: 2.0000e-02 eta: 1 day, 2:25:05 time: 0.5943 data_time: 0.0340 memory: 13723 grad_norm: 3.7300 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7530 loss: 1.7530 2022/08/08 22:21:23 - mmengine - INFO - Epoch(train) [17][1540/1879] lr: 2.0000e-02 eta: 1 day, 2:24:50 time: 0.5799 data_time: 0.0186 memory: 13723 grad_norm: 3.8784 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8120 loss: 1.8120 2022/08/08 22:21:36 - mmengine - INFO - Epoch(train) [17][1560/1879] lr: 2.0000e-02 eta: 1 day, 2:24:44 time: 0.6760 data_time: 0.0208 memory: 13723 grad_norm: 3.8953 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6837 loss: 1.6837 2022/08/08 22:21:48 - mmengine - INFO - Epoch(train) [17][1580/1879] lr: 2.0000e-02 eta: 1 day, 2:24:30 time: 0.5845 data_time: 0.0443 memory: 13723 grad_norm: 3.7329 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.6577 loss: 1.6577 2022/08/08 22:21:59 - mmengine - INFO - Epoch(train) [17][1600/1879] lr: 2.0000e-02 eta: 1 day, 2:24:14 time: 0.5722 data_time: 0.0230 memory: 13723 grad_norm: 3.8233 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5719 loss: 1.5719 2022/08/08 22:22:11 - mmengine - INFO - Epoch(train) [17][1620/1879] lr: 2.0000e-02 eta: 1 day, 2:23:58 time: 0.5677 data_time: 0.0279 memory: 13723 grad_norm: 3.8574 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6666 loss: 1.6666 2022/08/08 22:22:22 - mmengine - INFO - Epoch(train) [17][1640/1879] lr: 2.0000e-02 eta: 1 day, 2:23:42 time: 0.5744 data_time: 0.0237 memory: 13723 grad_norm: 3.8992 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7595 loss: 1.7595 2022/08/08 22:22:33 - mmengine - INFO - Epoch(train) [17][1660/1879] lr: 2.0000e-02 eta: 1 day, 2:23:26 time: 0.5654 data_time: 0.0229 memory: 13723 grad_norm: 3.7129 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7184 loss: 1.7184 2022/08/08 22:22:45 - mmengine - INFO - Epoch(train) [17][1680/1879] lr: 2.0000e-02 eta: 1 day, 2:23:11 time: 0.5765 data_time: 0.0286 memory: 13723 grad_norm: 3.7702 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7381 loss: 1.7381 2022/08/08 22:22:56 - mmengine - INFO - Epoch(train) [17][1700/1879] lr: 2.0000e-02 eta: 1 day, 2:22:55 time: 0.5724 data_time: 0.0242 memory: 13723 grad_norm: 3.8427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6357 loss: 1.6357 2022/08/08 22:23:08 - mmengine - INFO - Epoch(train) [17][1720/1879] lr: 2.0000e-02 eta: 1 day, 2:22:39 time: 0.5713 data_time: 0.0245 memory: 13723 grad_norm: 3.8002 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7638 loss: 1.7638 2022/08/08 22:23:20 - mmengine - INFO - Epoch(train) [17][1740/1879] lr: 2.0000e-02 eta: 1 day, 2:22:25 time: 0.5906 data_time: 0.0347 memory: 13723 grad_norm: 3.7402 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6531 loss: 1.6531 2022/08/08 22:23:31 - mmengine - INFO - Epoch(train) [17][1760/1879] lr: 2.0000e-02 eta: 1 day, 2:22:08 time: 0.5615 data_time: 0.0224 memory: 13723 grad_norm: 3.9225 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8600 loss: 1.8600 2022/08/08 22:23:42 - mmengine - INFO - Epoch(train) [17][1780/1879] lr: 2.0000e-02 eta: 1 day, 2:21:52 time: 0.5680 data_time: 0.0225 memory: 13723 grad_norm: 3.9042 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6839 loss: 1.6839 2022/08/08 22:23:54 - mmengine - INFO - Epoch(train) [17][1800/1879] lr: 2.0000e-02 eta: 1 day, 2:21:38 time: 0.5897 data_time: 0.0208 memory: 13723 grad_norm: 3.8335 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6432 loss: 1.6432 2022/08/08 22:24:06 - mmengine - INFO - Epoch(train) [17][1820/1879] lr: 2.0000e-02 eta: 1 day, 2:21:23 time: 0.5799 data_time: 0.0232 memory: 13723 grad_norm: 3.8847 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6213 loss: 1.6213 2022/08/08 22:24:19 - mmengine - INFO - Epoch(train) [17][1840/1879] lr: 2.0000e-02 eta: 1 day, 2:21:16 time: 0.6578 data_time: 0.0190 memory: 13723 grad_norm: 3.9316 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6720 loss: 1.6720 2022/08/08 22:24:32 - mmengine - INFO - Epoch(train) [17][1860/1879] lr: 2.0000e-02 eta: 1 day, 2:21:09 time: 0.6583 data_time: 0.0198 memory: 13723 grad_norm: 3.9386 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8452 loss: 1.8452 2022/08/08 22:24:42 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 22:24:42 - mmengine - INFO - Epoch(train) [17][1879/1879] lr: 2.0000e-02 eta: 1 day, 2:21:09 time: 0.5944 data_time: 0.0142 memory: 13723 grad_norm: 3.9496 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.7657 loss: 1.7657 2022/08/08 22:24:57 - mmengine - INFO - Epoch(val) [17][20/155] eta: 0:01:41 time: 0.7547 data_time: 0.6143 memory: 1829 2022/08/08 22:25:11 - mmengine - INFO - Epoch(val) [17][40/155] eta: 0:01:20 time: 0.6961 data_time: 0.5578 memory: 1829 2022/08/08 22:25:25 - mmengine - INFO - Epoch(val) [17][60/155] eta: 0:01:07 time: 0.7091 data_time: 0.5706 memory: 1829 2022/08/08 22:25:33 - mmengine - INFO - Epoch(val) [17][80/155] eta: 0:00:30 time: 0.4104 data_time: 0.2727 memory: 1829 2022/08/08 22:25:46 - mmengine - INFO - Epoch(val) [17][100/155] eta: 0:00:34 time: 0.6224 data_time: 0.4834 memory: 1829 2022/08/08 22:25:58 - mmengine - INFO - Epoch(val) [17][120/155] eta: 0:00:21 time: 0.6004 data_time: 0.4604 memory: 1829 2022/08/08 22:26:09 - mmengine - INFO - Epoch(val) [17][140/155] eta: 0:00:08 time: 0.5465 data_time: 0.4087 memory: 1829 2022/08/08 22:26:19 - mmengine - INFO - Epoch(val) [17][155/155] acc/top1: 0.5921 acc/top5: 0.8289 acc/mean1: 0.5921 2022/08/08 22:26:37 - mmengine - INFO - Epoch(train) [18][20/1879] lr: 2.0000e-02 eta: 1 day, 2:20:17 time: 0.9001 data_time: 0.1966 memory: 13723 grad_norm: 3.7662 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.5232 loss: 1.5232 2022/08/08 22:26:52 - mmengine - INFO - Epoch(train) [18][40/1879] lr: 2.0000e-02 eta: 1 day, 2:20:17 time: 0.7332 data_time: 0.0322 memory: 13723 grad_norm: 3.8296 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6380 loss: 1.6380 2022/08/08 22:27:02 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 22:27:04 - mmengine - INFO - Epoch(train) [18][60/1879] lr: 2.0000e-02 eta: 1 day, 2:20:04 time: 0.5915 data_time: 0.0240 memory: 13723 grad_norm: 3.8213 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6354 loss: 1.6354 2022/08/08 22:27:15 - mmengine - INFO - Epoch(train) [18][80/1879] lr: 2.0000e-02 eta: 1 day, 2:19:49 time: 0.5846 data_time: 0.0382 memory: 13723 grad_norm: 3.9943 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6558 loss: 1.6558 2022/08/08 22:27:32 - mmengine - INFO - Epoch(train) [18][100/1879] lr: 2.0000e-02 eta: 1 day, 2:19:59 time: 0.8322 data_time: 0.0193 memory: 13723 grad_norm: 3.9129 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5481 loss: 1.5481 2022/08/08 22:27:44 - mmengine - INFO - Epoch(train) [18][120/1879] lr: 2.0000e-02 eta: 1 day, 2:19:44 time: 0.5783 data_time: 0.0198 memory: 13723 grad_norm: 3.9285 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8415 loss: 1.8415 2022/08/08 22:27:55 - mmengine - INFO - Epoch(train) [18][140/1879] lr: 2.0000e-02 eta: 1 day, 2:19:29 time: 0.5865 data_time: 0.0226 memory: 13723 grad_norm: 3.7594 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6714 loss: 1.6714 2022/08/08 22:28:07 - mmengine - INFO - Epoch(train) [18][160/1879] lr: 2.0000e-02 eta: 1 day, 2:19:14 time: 0.5712 data_time: 0.0224 memory: 13723 grad_norm: 3.7920 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6334 loss: 1.6334 2022/08/08 22:28:18 - mmengine - INFO - Epoch(train) [18][180/1879] lr: 2.0000e-02 eta: 1 day, 2:18:58 time: 0.5760 data_time: 0.0243 memory: 13723 grad_norm: 3.8788 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9317 loss: 1.9317 2022/08/08 22:28:30 - mmengine - INFO - Epoch(train) [18][200/1879] lr: 2.0000e-02 eta: 1 day, 2:18:45 time: 0.6011 data_time: 0.0243 memory: 13723 grad_norm: 3.7982 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7281 loss: 1.7281 2022/08/08 22:28:43 - mmengine - INFO - Epoch(train) [18][220/1879] lr: 2.0000e-02 eta: 1 day, 2:18:34 time: 0.6157 data_time: 0.0195 memory: 13723 grad_norm: 3.8601 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5566 loss: 1.5566 2022/08/08 22:28:54 - mmengine - INFO - Epoch(train) [18][240/1879] lr: 2.0000e-02 eta: 1 day, 2:18:18 time: 0.5700 data_time: 0.0250 memory: 13723 grad_norm: 3.7679 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5521 loss: 1.5521 2022/08/08 22:29:07 - mmengine - INFO - Epoch(train) [18][260/1879] lr: 2.0000e-02 eta: 1 day, 2:18:08 time: 0.6324 data_time: 0.0191 memory: 13723 grad_norm: 3.7329 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7001 loss: 1.7001 2022/08/08 22:29:18 - mmengine - INFO - Epoch(train) [18][280/1879] lr: 2.0000e-02 eta: 1 day, 2:17:53 time: 0.5707 data_time: 0.0217 memory: 13723 grad_norm: 3.7452 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5662 loss: 1.5662 2022/08/08 22:29:30 - mmengine - INFO - Epoch(train) [18][300/1879] lr: 2.0000e-02 eta: 1 day, 2:17:41 time: 0.6177 data_time: 0.0620 memory: 13723 grad_norm: 3.8411 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6565 loss: 1.6565 2022/08/08 22:29:42 - mmengine - INFO - Epoch(train) [18][320/1879] lr: 2.0000e-02 eta: 1 day, 2:17:26 time: 0.5802 data_time: 0.0247 memory: 13723 grad_norm: 3.8483 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6007 loss: 1.6007 2022/08/08 22:29:54 - mmengine - INFO - Epoch(train) [18][340/1879] lr: 2.0000e-02 eta: 1 day, 2:17:11 time: 0.5756 data_time: 0.0230 memory: 13723 grad_norm: 3.7617 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3702 loss: 1.3702 2022/08/08 22:30:05 - mmengine - INFO - Epoch(train) [18][360/1879] lr: 2.0000e-02 eta: 1 day, 2:16:58 time: 0.5938 data_time: 0.0260 memory: 13723 grad_norm: 3.8059 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5907 loss: 1.5907 2022/08/08 22:30:19 - mmengine - INFO - Epoch(train) [18][380/1879] lr: 2.0000e-02 eta: 1 day, 2:16:55 time: 0.7044 data_time: 0.0204 memory: 13723 grad_norm: 3.8460 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5909 loss: 1.5909 2022/08/08 22:30:31 - mmengine - INFO - Epoch(train) [18][400/1879] lr: 2.0000e-02 eta: 1 day, 2:16:40 time: 0.5828 data_time: 0.0261 memory: 13723 grad_norm: 3.8365 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7254 loss: 1.7254 2022/08/08 22:30:43 - mmengine - INFO - Epoch(train) [18][420/1879] lr: 2.0000e-02 eta: 1 day, 2:16:25 time: 0.5799 data_time: 0.0205 memory: 13723 grad_norm: 3.8798 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8315 loss: 1.8315 2022/08/08 22:30:55 - mmengine - INFO - Epoch(train) [18][440/1879] lr: 2.0000e-02 eta: 1 day, 2:16:12 time: 0.5991 data_time: 0.0248 memory: 13723 grad_norm: 3.8785 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7111 loss: 1.7111 2022/08/08 22:31:06 - mmengine - INFO - Epoch(train) [18][460/1879] lr: 2.0000e-02 eta: 1 day, 2:15:57 time: 0.5782 data_time: 0.0227 memory: 13723 grad_norm: 3.6327 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7290 loss: 1.7290 2022/08/08 22:31:18 - mmengine - INFO - Epoch(train) [18][480/1879] lr: 2.0000e-02 eta: 1 day, 2:15:44 time: 0.6000 data_time: 0.0213 memory: 13723 grad_norm: 3.8240 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6940 loss: 1.6940 2022/08/08 22:31:30 - mmengine - INFO - Epoch(train) [18][500/1879] lr: 2.0000e-02 eta: 1 day, 2:15:31 time: 0.5952 data_time: 0.0210 memory: 13723 grad_norm: 3.8982 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5662 loss: 1.5662 2022/08/08 22:31:44 - mmengine - INFO - Epoch(train) [18][520/1879] lr: 2.0000e-02 eta: 1 day, 2:15:25 time: 0.6697 data_time: 0.0210 memory: 13723 grad_norm: 3.8920 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7986 loss: 1.7986 2022/08/08 22:31:55 - mmengine - INFO - Epoch(train) [18][540/1879] lr: 2.0000e-02 eta: 1 day, 2:15:09 time: 0.5765 data_time: 0.0337 memory: 13723 grad_norm: 3.8112 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5833 loss: 1.5833 2022/08/08 22:32:07 - mmengine - INFO - Epoch(train) [18][560/1879] lr: 2.0000e-02 eta: 1 day, 2:14:54 time: 0.5741 data_time: 0.0261 memory: 13723 grad_norm: 3.8412 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5904 loss: 1.5904 2022/08/08 22:32:19 - mmengine - INFO - Epoch(train) [18][580/1879] lr: 2.0000e-02 eta: 1 day, 2:14:41 time: 0.6036 data_time: 0.0204 memory: 13723 grad_norm: 3.8182 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7947 loss: 1.7947 2022/08/08 22:32:30 - mmengine - INFO - Epoch(train) [18][600/1879] lr: 2.0000e-02 eta: 1 day, 2:14:26 time: 0.5726 data_time: 0.0246 memory: 13723 grad_norm: 3.6866 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6624 loss: 1.6624 2022/08/08 22:32:42 - mmengine - INFO - Epoch(train) [18][620/1879] lr: 2.0000e-02 eta: 1 day, 2:14:12 time: 0.5922 data_time: 0.0185 memory: 13723 grad_norm: 3.8309 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6553 loss: 1.6553 2022/08/08 22:32:55 - mmengine - INFO - Epoch(train) [18][640/1879] lr: 2.0000e-02 eta: 1 day, 2:14:02 time: 0.6338 data_time: 0.0209 memory: 13723 grad_norm: 3.8328 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6841 loss: 1.6841 2022/08/08 22:33:06 - mmengine - INFO - Epoch(train) [18][660/1879] lr: 2.0000e-02 eta: 1 day, 2:13:46 time: 0.5634 data_time: 0.0213 memory: 13723 grad_norm: 3.9578 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7440 loss: 1.7440 2022/08/08 22:33:19 - mmengine - INFO - Epoch(train) [18][680/1879] lr: 2.0000e-02 eta: 1 day, 2:13:37 time: 0.6457 data_time: 0.0236 memory: 13723 grad_norm: 3.8523 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6798 loss: 1.6798 2022/08/08 22:33:33 - mmengine - INFO - Epoch(train) [18][700/1879] lr: 2.0000e-02 eta: 1 day, 2:13:36 time: 0.7153 data_time: 0.0151 memory: 13723 grad_norm: 3.8613 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7060 loss: 1.7060 2022/08/08 22:33:45 - mmengine - INFO - Epoch(train) [18][720/1879] lr: 2.0000e-02 eta: 1 day, 2:13:20 time: 0.5765 data_time: 0.0260 memory: 13723 grad_norm: 3.7227 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4961 loss: 1.4961 2022/08/08 22:33:56 - mmengine - INFO - Epoch(train) [18][740/1879] lr: 2.0000e-02 eta: 1 day, 2:13:05 time: 0.5738 data_time: 0.0217 memory: 13723 grad_norm: 3.7963 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7112 loss: 1.7112 2022/08/08 22:34:08 - mmengine - INFO - Epoch(train) [18][760/1879] lr: 2.0000e-02 eta: 1 day, 2:12:50 time: 0.5825 data_time: 0.0260 memory: 13723 grad_norm: 3.8390 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6205 loss: 1.6205 2022/08/08 22:34:20 - mmengine - INFO - Epoch(train) [18][780/1879] lr: 2.0000e-02 eta: 1 day, 2:12:37 time: 0.5987 data_time: 0.0207 memory: 13723 grad_norm: 3.8671 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5211 loss: 1.5211 2022/08/08 22:34:32 - mmengine - INFO - Epoch(train) [18][800/1879] lr: 2.0000e-02 eta: 1 day, 2:12:23 time: 0.5900 data_time: 0.0420 memory: 13723 grad_norm: 3.8636 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5389 loss: 1.5389 2022/08/08 22:34:43 - mmengine - INFO - Epoch(train) [18][820/1879] lr: 2.0000e-02 eta: 1 day, 2:12:08 time: 0.5733 data_time: 0.0225 memory: 13723 grad_norm: 3.7854 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3822 loss: 1.3822 2022/08/08 22:34:55 - mmengine - INFO - Epoch(train) [18][840/1879] lr: 2.0000e-02 eta: 1 day, 2:11:53 time: 0.5737 data_time: 0.0254 memory: 13723 grad_norm: 3.6830 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5021 loss: 1.5021 2022/08/08 22:35:07 - mmengine - INFO - Epoch(train) [18][860/1879] lr: 2.0000e-02 eta: 1 day, 2:11:40 time: 0.6034 data_time: 0.0318 memory: 13723 grad_norm: 3.7302 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6546 loss: 1.6546 2022/08/08 22:35:21 - mmengine - INFO - Epoch(train) [18][880/1879] lr: 2.0000e-02 eta: 1 day, 2:11:36 time: 0.6976 data_time: 0.0723 memory: 13723 grad_norm: 3.9379 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8063 loss: 1.8063 2022/08/08 22:35:35 - mmengine - INFO - Epoch(train) [18][900/1879] lr: 2.0000e-02 eta: 1 day, 2:11:36 time: 0.7308 data_time: 0.0455 memory: 13723 grad_norm: 3.8114 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6028 loss: 1.6028 2022/08/08 22:35:48 - mmengine - INFO - Epoch(train) [18][920/1879] lr: 2.0000e-02 eta: 1 day, 2:11:25 time: 0.6277 data_time: 0.0206 memory: 13723 grad_norm: 3.7689 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.5641 loss: 1.5641 2022/08/08 22:35:59 - mmengine - INFO - Epoch(train) [18][940/1879] lr: 2.0000e-02 eta: 1 day, 2:11:11 time: 0.5825 data_time: 0.0208 memory: 13723 grad_norm: 3.8581 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7388 loss: 1.7388 2022/08/08 22:36:11 - mmengine - INFO - Epoch(train) [18][960/1879] lr: 2.0000e-02 eta: 1 day, 2:10:57 time: 0.5916 data_time: 0.0252 memory: 13723 grad_norm: 3.7439 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6836 loss: 1.6836 2022/08/08 22:36:24 - mmengine - INFO - Epoch(train) [18][980/1879] lr: 2.0000e-02 eta: 1 day, 2:10:48 time: 0.6433 data_time: 0.0190 memory: 13723 grad_norm: 3.7808 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8348 loss: 1.8348 2022/08/08 22:36:37 - mmengine - INFO - Epoch(train) [18][1000/1879] lr: 2.0000e-02 eta: 1 day, 2:10:39 time: 0.6365 data_time: 0.0229 memory: 13723 grad_norm: 3.8616 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5526 loss: 1.5526 2022/08/08 22:36:49 - mmengine - INFO - Epoch(train) [18][1020/1879] lr: 2.0000e-02 eta: 1 day, 2:10:24 time: 0.5793 data_time: 0.0197 memory: 13723 grad_norm: 3.8820 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6231 loss: 1.6231 2022/08/08 22:37:00 - mmengine - INFO - Epoch(train) [18][1040/1879] lr: 2.0000e-02 eta: 1 day, 2:10:08 time: 0.5697 data_time: 0.0253 memory: 13723 grad_norm: 3.8172 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7232 loss: 1.7232 2022/08/08 22:37:10 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 22:37:11 - mmengine - INFO - Epoch(train) [18][1060/1879] lr: 2.0000e-02 eta: 1 day, 2:09:53 time: 0.5733 data_time: 0.0208 memory: 13723 grad_norm: 3.7823 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5348 loss: 1.5348 2022/08/08 22:37:23 - mmengine - INFO - Epoch(train) [18][1080/1879] lr: 2.0000e-02 eta: 1 day, 2:09:37 time: 0.5745 data_time: 0.0223 memory: 13723 grad_norm: 3.7367 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5963 loss: 1.5963 2022/08/08 22:37:36 - mmengine - INFO - Epoch(train) [18][1100/1879] lr: 2.0000e-02 eta: 1 day, 2:09:28 time: 0.6351 data_time: 0.0209 memory: 13723 grad_norm: 3.7944 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6199 loss: 1.6199 2022/08/08 22:37:47 - mmengine - INFO - Epoch(train) [18][1120/1879] lr: 2.0000e-02 eta: 1 day, 2:09:12 time: 0.5683 data_time: 0.0228 memory: 13723 grad_norm: 3.7306 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6991 loss: 1.6991 2022/08/08 22:37:59 - mmengine - INFO - Epoch(train) [18][1140/1879] lr: 2.0000e-02 eta: 1 day, 2:08:57 time: 0.5793 data_time: 0.0247 memory: 13723 grad_norm: 3.6949 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5069 loss: 1.5069 2022/08/08 22:38:10 - mmengine - INFO - Epoch(train) [18][1160/1879] lr: 2.0000e-02 eta: 1 day, 2:08:42 time: 0.5825 data_time: 0.0253 memory: 13723 grad_norm: 3.8437 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5635 loss: 1.5635 2022/08/08 22:38:22 - mmengine - INFO - Epoch(train) [18][1180/1879] lr: 2.0000e-02 eta: 1 day, 2:08:28 time: 0.5865 data_time: 0.0209 memory: 13723 grad_norm: 3.8256 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9024 loss: 1.9024 2022/08/08 22:38:33 - mmengine - INFO - Epoch(train) [18][1200/1879] lr: 2.0000e-02 eta: 1 day, 2:08:13 time: 0.5751 data_time: 0.0227 memory: 13723 grad_norm: 3.7402 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7060 loss: 1.7060 2022/08/08 22:38:45 - mmengine - INFO - Epoch(train) [18][1220/1879] lr: 2.0000e-02 eta: 1 day, 2:07:57 time: 0.5711 data_time: 0.0221 memory: 13723 grad_norm: 3.7742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6774 loss: 1.6774 2022/08/08 22:38:56 - mmengine - INFO - Epoch(train) [18][1240/1879] lr: 2.0000e-02 eta: 1 day, 2:07:42 time: 0.5770 data_time: 0.0259 memory: 13723 grad_norm: 3.8630 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8726 loss: 1.8726 2022/08/08 22:39:08 - mmengine - INFO - Epoch(train) [18][1260/1879] lr: 2.0000e-02 eta: 1 day, 2:07:27 time: 0.5684 data_time: 0.0221 memory: 13723 grad_norm: 3.8511 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8259 loss: 1.8259 2022/08/08 22:39:20 - mmengine - INFO - Epoch(train) [18][1280/1879] lr: 2.0000e-02 eta: 1 day, 2:07:13 time: 0.5919 data_time: 0.0487 memory: 13723 grad_norm: 3.7951 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7989 loss: 1.7989 2022/08/08 22:39:31 - mmengine - INFO - Epoch(train) [18][1300/1879] lr: 2.0000e-02 eta: 1 day, 2:06:57 time: 0.5712 data_time: 0.0261 memory: 13723 grad_norm: 3.8025 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6072 loss: 1.6072 2022/08/08 22:39:42 - mmengine - INFO - Epoch(train) [18][1320/1879] lr: 2.0000e-02 eta: 1 day, 2:06:41 time: 0.5685 data_time: 0.0204 memory: 13723 grad_norm: 3.7462 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.7203 loss: 1.7203 2022/08/08 22:39:54 - mmengine - INFO - Epoch(train) [18][1340/1879] lr: 2.0000e-02 eta: 1 day, 2:06:26 time: 0.5749 data_time: 0.0235 memory: 13723 grad_norm: 3.8383 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.7497 loss: 1.7497 2022/08/08 22:40:05 - mmengine - INFO - Epoch(train) [18][1360/1879] lr: 2.0000e-02 eta: 1 day, 2:06:11 time: 0.5749 data_time: 0.0230 memory: 13723 grad_norm: 3.7331 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6624 loss: 1.6624 2022/08/08 22:40:22 - mmengine - INFO - Epoch(train) [18][1380/1879] lr: 2.0000e-02 eta: 1 day, 2:06:19 time: 0.8216 data_time: 0.1025 memory: 13723 grad_norm: 3.7621 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6074 loss: 1.6074 2022/08/08 22:40:34 - mmengine - INFO - Epoch(train) [18][1400/1879] lr: 2.0000e-02 eta: 1 day, 2:06:06 time: 0.6063 data_time: 0.0248 memory: 13723 grad_norm: 3.8238 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7879 loss: 1.7879 2022/08/08 22:40:46 - mmengine - INFO - Epoch(train) [18][1420/1879] lr: 2.0000e-02 eta: 1 day, 2:05:54 time: 0.6054 data_time: 0.0196 memory: 13723 grad_norm: 3.8417 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6432 loss: 1.6432 2022/08/08 22:40:58 - mmengine - INFO - Epoch(train) [18][1440/1879] lr: 2.0000e-02 eta: 1 day, 2:05:42 time: 0.6093 data_time: 0.0198 memory: 13723 grad_norm: 3.9582 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5004 loss: 1.5004 2022/08/08 22:41:10 - mmengine - INFO - Epoch(train) [18][1460/1879] lr: 2.0000e-02 eta: 1 day, 2:05:27 time: 0.5762 data_time: 0.0201 memory: 13723 grad_norm: 3.8912 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7414 loss: 1.7414 2022/08/08 22:41:21 - mmengine - INFO - Epoch(train) [18][1480/1879] lr: 2.0000e-02 eta: 1 day, 2:05:12 time: 0.5749 data_time: 0.0232 memory: 13723 grad_norm: 3.8298 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6997 loss: 1.6997 2022/08/08 22:41:33 - mmengine - INFO - Epoch(train) [18][1500/1879] lr: 2.0000e-02 eta: 1 day, 2:04:57 time: 0.5789 data_time: 0.0216 memory: 13723 grad_norm: 3.7850 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3614 loss: 1.3614 2022/08/08 22:41:45 - mmengine - INFO - Epoch(train) [18][1520/1879] lr: 2.0000e-02 eta: 1 day, 2:04:42 time: 0.5790 data_time: 0.0217 memory: 13723 grad_norm: 3.8020 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7462 loss: 1.7462 2022/08/08 22:41:56 - mmengine - INFO - Epoch(train) [18][1540/1879] lr: 2.0000e-02 eta: 1 day, 2:04:27 time: 0.5742 data_time: 0.0224 memory: 13723 grad_norm: 3.8644 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7267 loss: 1.7267 2022/08/08 22:42:08 - mmengine - INFO - Epoch(train) [18][1560/1879] lr: 2.0000e-02 eta: 1 day, 2:04:13 time: 0.5932 data_time: 0.0442 memory: 13723 grad_norm: 3.7958 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4698 loss: 1.4698 2022/08/08 22:42:19 - mmengine - INFO - Epoch(train) [18][1580/1879] lr: 2.0000e-02 eta: 1 day, 2:03:58 time: 0.5743 data_time: 0.0213 memory: 13723 grad_norm: 3.8885 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6988 loss: 1.6988 2022/08/08 22:42:31 - mmengine - INFO - Epoch(train) [18][1600/1879] lr: 2.0000e-02 eta: 1 day, 2:03:45 time: 0.5954 data_time: 0.0458 memory: 13723 grad_norm: 3.8916 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6828 loss: 1.6828 2022/08/08 22:42:43 - mmengine - INFO - Epoch(train) [18][1620/1879] lr: 2.0000e-02 eta: 1 day, 2:03:31 time: 0.5875 data_time: 0.0206 memory: 13723 grad_norm: 3.7623 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7001 loss: 1.7001 2022/08/08 22:42:55 - mmengine - INFO - Epoch(train) [18][1640/1879] lr: 2.0000e-02 eta: 1 day, 2:03:16 time: 0.5759 data_time: 0.0249 memory: 13723 grad_norm: 3.8165 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7567 loss: 1.7567 2022/08/08 22:43:06 - mmengine - INFO - Epoch(train) [18][1660/1879] lr: 2.0000e-02 eta: 1 day, 2:03:00 time: 0.5715 data_time: 0.0225 memory: 13723 grad_norm: 3.8182 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5920 loss: 1.5920 2022/08/08 22:43:17 - mmengine - INFO - Epoch(train) [18][1680/1879] lr: 2.0000e-02 eta: 1 day, 2:02:44 time: 0.5700 data_time: 0.0238 memory: 13723 grad_norm: 3.7140 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7678 loss: 1.7678 2022/08/08 22:43:29 - mmengine - INFO - Epoch(train) [18][1700/1879] lr: 2.0000e-02 eta: 1 day, 2:02:29 time: 0.5733 data_time: 0.0211 memory: 13723 grad_norm: 3.8981 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5974 loss: 1.5974 2022/08/08 22:43:40 - mmengine - INFO - Epoch(train) [18][1720/1879] lr: 2.0000e-02 eta: 1 day, 2:02:14 time: 0.5738 data_time: 0.0237 memory: 13723 grad_norm: 3.9152 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6489 loss: 1.6489 2022/08/08 22:43:52 - mmengine - INFO - Epoch(train) [18][1740/1879] lr: 2.0000e-02 eta: 1 day, 2:02:00 time: 0.5935 data_time: 0.0215 memory: 13723 grad_norm: 3.8224 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7431 loss: 1.7431 2022/08/08 22:44:04 - mmengine - INFO - Epoch(train) [18][1760/1879] lr: 2.0000e-02 eta: 1 day, 2:01:45 time: 0.5767 data_time: 0.0257 memory: 13723 grad_norm: 3.8631 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7802 loss: 1.7802 2022/08/08 22:44:15 - mmengine - INFO - Epoch(train) [18][1780/1879] lr: 2.0000e-02 eta: 1 day, 2:01:31 time: 0.5810 data_time: 0.0199 memory: 13723 grad_norm: 3.7797 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6485 loss: 1.6485 2022/08/08 22:44:27 - mmengine - INFO - Epoch(train) [18][1800/1879] lr: 2.0000e-02 eta: 1 day, 2:01:16 time: 0.5807 data_time: 0.0284 memory: 13723 grad_norm: 3.7591 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4249 loss: 1.4249 2022/08/08 22:44:39 - mmengine - INFO - Epoch(train) [18][1820/1879] lr: 2.0000e-02 eta: 1 day, 2:01:01 time: 0.5754 data_time: 0.0199 memory: 13723 grad_norm: 3.7639 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6545 loss: 1.6545 2022/08/08 22:44:51 - mmengine - INFO - Epoch(train) [18][1840/1879] lr: 2.0000e-02 eta: 1 day, 2:00:50 time: 0.6179 data_time: 0.0228 memory: 13723 grad_norm: 3.6882 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5724 loss: 1.5724 2022/08/08 22:45:02 - mmengine - INFO - Epoch(train) [18][1860/1879] lr: 2.0000e-02 eta: 1 day, 2:00:35 time: 0.5753 data_time: 0.0206 memory: 13723 grad_norm: 3.8335 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6403 loss: 1.6403 2022/08/08 22:45:13 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 22:45:13 - mmengine - INFO - Epoch(train) [18][1879/1879] lr: 2.0000e-02 eta: 1 day, 2:00:35 time: 0.5343 data_time: 0.0167 memory: 13723 grad_norm: 3.9213 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.5633 loss: 1.5633 2022/08/08 22:45:13 - mmengine - INFO - Saving checkpoint at 18 epochs 2022/08/08 22:45:27 - mmengine - INFO - Epoch(val) [18][20/155] eta: 0:01:28 time: 0.6539 data_time: 0.5133 memory: 1829 2022/08/08 22:45:39 - mmengine - INFO - Epoch(val) [18][40/155] eta: 0:01:07 time: 0.5868 data_time: 0.4476 memory: 1829 2022/08/08 22:45:50 - mmengine - INFO - Epoch(val) [18][60/155] eta: 0:00:54 time: 0.5706 data_time: 0.4323 memory: 1829 2022/08/08 22:46:04 - mmengine - INFO - Epoch(val) [18][80/155] eta: 0:00:49 time: 0.6665 data_time: 0.5282 memory: 1829 2022/08/08 22:46:15 - mmengine - INFO - Epoch(val) [18][100/155] eta: 0:00:32 time: 0.5961 data_time: 0.4526 memory: 1829 2022/08/08 22:46:25 - mmengine - INFO - Epoch(val) [18][120/155] eta: 0:00:17 time: 0.4967 data_time: 0.3570 memory: 1829 2022/08/08 22:46:34 - mmengine - INFO - Epoch(val) [18][140/155] eta: 0:00:06 time: 0.4241 data_time: 0.2872 memory: 1829 2022/08/08 22:46:42 - mmengine - INFO - Epoch(val) [18][155/155] acc/top1: 0.6087 acc/top5: 0.8388 acc/mean1: 0.6084 2022/08/08 22:46:42 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_17.pth is removed 2022/08/08 22:46:44 - mmengine - INFO - The best checkpoint with 0.6087 acc/top1 at 19 epoch is saved to best_acc/top1_epoch_19.pth. 2022/08/08 22:47:00 - mmengine - INFO - Epoch(train) [19][20/1879] lr: 2.0000e-02 eta: 1 day, 1:59:39 time: 0.8285 data_time: 0.2792 memory: 13723 grad_norm: 3.7348 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.5677 loss: 1.5677 2022/08/08 22:47:12 - mmengine - INFO - Epoch(train) [19][40/1879] lr: 2.0000e-02 eta: 1 day, 1:59:27 time: 0.6106 data_time: 0.0532 memory: 13723 grad_norm: 3.7583 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6389 loss: 1.6389 2022/08/08 22:47:24 - mmengine - INFO - Epoch(train) [19][60/1879] lr: 2.0000e-02 eta: 1 day, 1:59:12 time: 0.5823 data_time: 0.0313 memory: 13723 grad_norm: 3.8589 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7485 loss: 1.7485 2022/08/08 22:47:35 - mmengine - INFO - Epoch(train) [19][80/1879] lr: 2.0000e-02 eta: 1 day, 1:58:57 time: 0.5745 data_time: 0.0199 memory: 13723 grad_norm: 3.7881 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6970 loss: 1.6970 2022/08/08 22:47:47 - mmengine - INFO - Epoch(train) [19][100/1879] lr: 2.0000e-02 eta: 1 day, 1:58:43 time: 0.5820 data_time: 0.0227 memory: 13723 grad_norm: 3.7444 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4181 loss: 1.4181 2022/08/08 22:47:59 - mmengine - INFO - Epoch(train) [19][120/1879] lr: 2.0000e-02 eta: 1 day, 1:58:28 time: 0.5845 data_time: 0.0229 memory: 13723 grad_norm: 3.7963 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6476 loss: 1.6476 2022/08/08 22:48:10 - mmengine - INFO - Epoch(train) [19][140/1879] lr: 2.0000e-02 eta: 1 day, 1:58:13 time: 0.5713 data_time: 0.0256 memory: 13723 grad_norm: 3.8327 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7457 loss: 1.7457 2022/08/08 22:48:22 - mmengine - INFO - Epoch(train) [19][160/1879] lr: 2.0000e-02 eta: 1 day, 1:57:59 time: 0.5813 data_time: 0.0223 memory: 13723 grad_norm: 3.9071 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6945 loss: 1.6945 2022/08/08 22:48:34 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 22:48:35 - mmengine - INFO - Epoch(train) [19][180/1879] lr: 2.0000e-02 eta: 1 day, 1:57:52 time: 0.6695 data_time: 0.0209 memory: 13723 grad_norm: 4.0376 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6575 loss: 1.6575 2022/08/08 22:48:47 - mmengine - INFO - Epoch(train) [19][200/1879] lr: 2.0000e-02 eta: 1 day, 1:57:36 time: 0.5690 data_time: 0.0249 memory: 13723 grad_norm: 3.7919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3912 loss: 1.3912 2022/08/08 22:48:58 - mmengine - INFO - Epoch(train) [19][220/1879] lr: 2.0000e-02 eta: 1 day, 1:57:23 time: 0.5897 data_time: 0.0241 memory: 13723 grad_norm: 3.9452 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7914 loss: 1.7914 2022/08/08 22:49:10 - mmengine - INFO - Epoch(train) [19][240/1879] lr: 2.0000e-02 eta: 1 day, 1:57:07 time: 0.5707 data_time: 0.0228 memory: 13723 grad_norm: 3.9054 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6591 loss: 1.6591 2022/08/08 22:49:21 - mmengine - INFO - Epoch(train) [19][260/1879] lr: 2.0000e-02 eta: 1 day, 1:56:52 time: 0.5707 data_time: 0.0237 memory: 13723 grad_norm: 3.8009 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5962 loss: 1.5962 2022/08/08 22:49:33 - mmengine - INFO - Epoch(train) [19][280/1879] lr: 2.0000e-02 eta: 1 day, 1:56:36 time: 0.5647 data_time: 0.0234 memory: 13723 grad_norm: 3.7861 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4485 loss: 1.4485 2022/08/08 22:49:44 - mmengine - INFO - Epoch(train) [19][300/1879] lr: 2.0000e-02 eta: 1 day, 1:56:21 time: 0.5761 data_time: 0.0222 memory: 13723 grad_norm: 3.8445 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6108 loss: 1.6108 2022/08/08 22:49:55 - mmengine - INFO - Epoch(train) [19][320/1879] lr: 2.0000e-02 eta: 1 day, 1:56:05 time: 0.5663 data_time: 0.0233 memory: 13723 grad_norm: 3.7820 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7491 loss: 1.7491 2022/08/08 22:50:07 - mmengine - INFO - Epoch(train) [19][340/1879] lr: 2.0000e-02 eta: 1 day, 1:55:51 time: 0.5834 data_time: 0.0298 memory: 13723 grad_norm: 3.8684 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4252 loss: 1.4252 2022/08/08 22:50:21 - mmengine - INFO - Epoch(train) [19][360/1879] lr: 2.0000e-02 eta: 1 day, 1:55:47 time: 0.7027 data_time: 0.0841 memory: 13723 grad_norm: 3.9461 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4867 loss: 1.4867 2022/08/08 22:50:33 - mmengine - INFO - Epoch(train) [19][380/1879] lr: 2.0000e-02 eta: 1 day, 1:55:34 time: 0.6001 data_time: 0.0362 memory: 13723 grad_norm: 3.9039 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4565 loss: 1.4565 2022/08/08 22:50:47 - mmengine - INFO - Epoch(train) [19][400/1879] lr: 2.0000e-02 eta: 1 day, 1:55:27 time: 0.6660 data_time: 0.0231 memory: 13723 grad_norm: 3.8509 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6382 loss: 1.6382 2022/08/08 22:50:58 - mmengine - INFO - Epoch(train) [19][420/1879] lr: 2.0000e-02 eta: 1 day, 1:55:12 time: 0.5678 data_time: 0.0223 memory: 13723 grad_norm: 3.7853 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7199 loss: 1.7199 2022/08/08 22:51:10 - mmengine - INFO - Epoch(train) [19][440/1879] lr: 2.0000e-02 eta: 1 day, 1:55:01 time: 0.6222 data_time: 0.0212 memory: 13723 grad_norm: 3.8802 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6705 loss: 1.6705 2022/08/08 22:51:22 - mmengine - INFO - Epoch(train) [19][460/1879] lr: 2.0000e-02 eta: 1 day, 1:54:48 time: 0.6019 data_time: 0.0194 memory: 13723 grad_norm: 3.8194 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6325 loss: 1.6325 2022/08/08 22:51:34 - mmengine - INFO - Epoch(train) [19][480/1879] lr: 2.0000e-02 eta: 1 day, 1:54:34 time: 0.5815 data_time: 0.0218 memory: 13723 grad_norm: 3.8124 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7143 loss: 1.7143 2022/08/08 22:51:46 - mmengine - INFO - Epoch(train) [19][500/1879] lr: 2.0000e-02 eta: 1 day, 1:54:20 time: 0.5911 data_time: 0.0472 memory: 13723 grad_norm: 3.8070 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5892 loss: 1.5892 2022/08/08 22:51:57 - mmengine - INFO - Epoch(train) [19][520/1879] lr: 2.0000e-02 eta: 1 day, 1:54:05 time: 0.5702 data_time: 0.0241 memory: 13723 grad_norm: 3.7994 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6236 loss: 1.6236 2022/08/08 22:52:10 - mmengine - INFO - Epoch(train) [19][540/1879] lr: 2.0000e-02 eta: 1 day, 1:53:55 time: 0.6360 data_time: 0.0193 memory: 13723 grad_norm: 3.8073 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5448 loss: 1.5448 2022/08/08 22:52:21 - mmengine - INFO - Epoch(train) [19][560/1879] lr: 2.0000e-02 eta: 1 day, 1:53:40 time: 0.5729 data_time: 0.0219 memory: 13723 grad_norm: 3.7799 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5213 loss: 1.5213 2022/08/08 22:52:33 - mmengine - INFO - Epoch(train) [19][580/1879] lr: 2.0000e-02 eta: 1 day, 1:53:24 time: 0.5658 data_time: 0.0218 memory: 13723 grad_norm: 3.7929 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5710 loss: 1.5710 2022/08/08 22:52:44 - mmengine - INFO - Epoch(train) [19][600/1879] lr: 2.0000e-02 eta: 1 day, 1:53:08 time: 0.5665 data_time: 0.0262 memory: 13723 grad_norm: 3.7098 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3436 loss: 1.3436 2022/08/08 22:52:55 - mmengine - INFO - Epoch(train) [19][620/1879] lr: 2.0000e-02 eta: 1 day, 1:52:53 time: 0.5702 data_time: 0.0229 memory: 13723 grad_norm: 3.7666 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5299 loss: 1.5299 2022/08/08 22:53:07 - mmengine - INFO - Epoch(train) [19][640/1879] lr: 2.0000e-02 eta: 1 day, 1:52:38 time: 0.5795 data_time: 0.0230 memory: 13723 grad_norm: 3.7718 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5952 loss: 1.5952 2022/08/08 22:53:19 - mmengine - INFO - Epoch(train) [19][660/1879] lr: 2.0000e-02 eta: 1 day, 1:52:25 time: 0.5916 data_time: 0.0222 memory: 13723 grad_norm: 3.8437 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5283 loss: 1.5283 2022/08/08 22:53:30 - mmengine - INFO - Epoch(train) [19][680/1879] lr: 2.0000e-02 eta: 1 day, 1:52:08 time: 0.5592 data_time: 0.0228 memory: 13723 grad_norm: 3.8032 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5332 loss: 1.5332 2022/08/08 22:53:41 - mmengine - INFO - Epoch(train) [19][700/1879] lr: 2.0000e-02 eta: 1 day, 1:51:53 time: 0.5649 data_time: 0.0236 memory: 13723 grad_norm: 3.8726 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4737 loss: 1.4737 2022/08/08 22:53:53 - mmengine - INFO - Epoch(train) [19][720/1879] lr: 2.0000e-02 eta: 1 day, 1:51:38 time: 0.5789 data_time: 0.0227 memory: 13723 grad_norm: 3.7630 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6145 loss: 1.6145 2022/08/08 22:54:04 - mmengine - INFO - Epoch(train) [19][740/1879] lr: 2.0000e-02 eta: 1 day, 1:51:22 time: 0.5648 data_time: 0.0207 memory: 13723 grad_norm: 3.7883 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6079 loss: 1.6079 2022/08/08 22:54:16 - mmengine - INFO - Epoch(train) [19][760/1879] lr: 2.0000e-02 eta: 1 day, 1:51:07 time: 0.5706 data_time: 0.0246 memory: 13723 grad_norm: 3.8062 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5953 loss: 1.5953 2022/08/08 22:54:27 - mmengine - INFO - Epoch(train) [19][780/1879] lr: 2.0000e-02 eta: 1 day, 1:50:52 time: 0.5776 data_time: 0.0230 memory: 13723 grad_norm: 3.7365 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7477 loss: 1.7477 2022/08/08 22:54:39 - mmengine - INFO - Epoch(train) [19][800/1879] lr: 2.0000e-02 eta: 1 day, 1:50:39 time: 0.5927 data_time: 0.0223 memory: 13723 grad_norm: 3.7654 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5869 loss: 1.5869 2022/08/08 22:54:51 - mmengine - INFO - Epoch(train) [19][820/1879] lr: 2.0000e-02 eta: 1 day, 1:50:24 time: 0.5796 data_time: 0.0238 memory: 13723 grad_norm: 3.8296 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6484 loss: 1.6484 2022/08/08 22:55:02 - mmengine - INFO - Epoch(train) [19][840/1879] lr: 2.0000e-02 eta: 1 day, 1:50:09 time: 0.5740 data_time: 0.0216 memory: 13723 grad_norm: 3.7081 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6214 loss: 1.6214 2022/08/08 22:55:14 - mmengine - INFO - Epoch(train) [19][860/1879] lr: 2.0000e-02 eta: 1 day, 1:49:54 time: 0.5724 data_time: 0.0255 memory: 13723 grad_norm: 3.8261 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5527 loss: 1.5527 2022/08/08 22:55:27 - mmengine - INFO - Epoch(train) [19][880/1879] lr: 2.0000e-02 eta: 1 day, 1:49:45 time: 0.6488 data_time: 0.0550 memory: 13723 grad_norm: 3.8869 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5884 loss: 1.5884 2022/08/08 22:55:39 - mmengine - INFO - Epoch(train) [19][900/1879] lr: 2.0000e-02 eta: 1 day, 1:49:32 time: 0.5977 data_time: 0.0254 memory: 13723 grad_norm: 3.7716 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4290 loss: 1.4290 2022/08/08 22:55:50 - mmengine - INFO - Epoch(train) [19][920/1879] lr: 2.0000e-02 eta: 1 day, 1:49:17 time: 0.5754 data_time: 0.0237 memory: 13723 grad_norm: 3.8732 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6390 loss: 1.6390 2022/08/08 22:56:02 - mmengine - INFO - Epoch(train) [19][940/1879] lr: 2.0000e-02 eta: 1 day, 1:49:05 time: 0.6010 data_time: 0.0582 memory: 13723 grad_norm: 3.8884 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5186 loss: 1.5186 2022/08/08 22:56:13 - mmengine - INFO - Epoch(train) [19][960/1879] lr: 2.0000e-02 eta: 1 day, 1:48:49 time: 0.5607 data_time: 0.0224 memory: 13723 grad_norm: 3.7854 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6587 loss: 1.6587 2022/08/08 22:56:25 - mmengine - INFO - Epoch(train) [19][980/1879] lr: 2.0000e-02 eta: 1 day, 1:48:33 time: 0.5700 data_time: 0.0238 memory: 13723 grad_norm: 3.8322 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5745 loss: 1.5745 2022/08/08 22:56:36 - mmengine - INFO - Epoch(train) [19][1000/1879] lr: 2.0000e-02 eta: 1 day, 1:48:18 time: 0.5678 data_time: 0.0236 memory: 13723 grad_norm: 3.9262 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8110 loss: 1.8110 2022/08/08 22:56:48 - mmengine - INFO - Epoch(train) [19][1020/1879] lr: 2.0000e-02 eta: 1 day, 1:48:02 time: 0.5683 data_time: 0.0229 memory: 13723 grad_norm: 3.7996 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7792 loss: 1.7792 2022/08/08 22:56:59 - mmengine - INFO - Epoch(train) [19][1040/1879] lr: 2.0000e-02 eta: 1 day, 1:47:46 time: 0.5665 data_time: 0.0227 memory: 13723 grad_norm: 3.9512 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6679 loss: 1.6679 2022/08/08 22:57:10 - mmengine - INFO - Epoch(train) [19][1060/1879] lr: 2.0000e-02 eta: 1 day, 1:47:31 time: 0.5713 data_time: 0.0236 memory: 13723 grad_norm: 3.8962 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7083 loss: 1.7083 2022/08/08 22:57:22 - mmengine - INFO - Epoch(train) [19][1080/1879] lr: 2.0000e-02 eta: 1 day, 1:47:15 time: 0.5654 data_time: 0.0224 memory: 13723 grad_norm: 3.8940 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8747 loss: 1.8747 2022/08/08 22:57:33 - mmengine - INFO - Epoch(train) [19][1100/1879] lr: 2.0000e-02 eta: 1 day, 1:47:00 time: 0.5734 data_time: 0.0233 memory: 13723 grad_norm: 3.7956 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4711 loss: 1.4711 2022/08/08 22:57:45 - mmengine - INFO - Epoch(train) [19][1120/1879] lr: 2.0000e-02 eta: 1 day, 1:46:46 time: 0.5790 data_time: 0.0227 memory: 13723 grad_norm: 3.8309 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6850 loss: 1.6850 2022/08/08 22:57:56 - mmengine - INFO - Epoch(train) [19][1140/1879] lr: 2.0000e-02 eta: 1 day, 1:46:31 time: 0.5750 data_time: 0.0239 memory: 13723 grad_norm: 3.9032 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7398 loss: 1.7398 2022/08/08 22:58:08 - mmengine - INFO - Epoch(train) [19][1160/1879] lr: 2.0000e-02 eta: 1 day, 1:46:15 time: 0.5704 data_time: 0.0229 memory: 13723 grad_norm: 3.9206 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.7785 loss: 1.7785 2022/08/08 22:58:18 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 22:58:19 - mmengine - INFO - Epoch(train) [19][1180/1879] lr: 2.0000e-02 eta: 1 day, 1:46:01 time: 0.5773 data_time: 0.0239 memory: 13723 grad_norm: 3.7028 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4172 loss: 1.4172 2022/08/08 22:58:31 - mmengine - INFO - Epoch(train) [19][1200/1879] lr: 2.0000e-02 eta: 1 day, 1:45:46 time: 0.5738 data_time: 0.0242 memory: 13723 grad_norm: 3.8476 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.8730 loss: 1.8730 2022/08/08 22:58:42 - mmengine - INFO - Epoch(train) [19][1220/1879] lr: 2.0000e-02 eta: 1 day, 1:45:31 time: 0.5779 data_time: 0.0236 memory: 13723 grad_norm: 3.9073 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5257 loss: 1.5257 2022/08/08 22:58:54 - mmengine - INFO - Epoch(train) [19][1240/1879] lr: 2.0000e-02 eta: 1 day, 1:45:16 time: 0.5774 data_time: 0.0211 memory: 13723 grad_norm: 3.9171 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6654 loss: 1.6654 2022/08/08 22:59:05 - mmengine - INFO - Epoch(train) [19][1260/1879] lr: 2.0000e-02 eta: 1 day, 1:45:02 time: 0.5798 data_time: 0.0245 memory: 13723 grad_norm: 3.7771 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6492 loss: 1.6492 2022/08/08 22:59:17 - mmengine - INFO - Epoch(train) [19][1280/1879] lr: 2.0000e-02 eta: 1 day, 1:44:47 time: 0.5780 data_time: 0.0224 memory: 13723 grad_norm: 3.8191 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6373 loss: 1.6373 2022/08/08 22:59:28 - mmengine - INFO - Epoch(train) [19][1300/1879] lr: 2.0000e-02 eta: 1 day, 1:44:32 time: 0.5725 data_time: 0.0247 memory: 13723 grad_norm: 3.7780 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7239 loss: 1.7239 2022/08/08 22:59:40 - mmengine - INFO - Epoch(train) [19][1320/1879] lr: 2.0000e-02 eta: 1 day, 1:44:16 time: 0.5598 data_time: 0.0235 memory: 13723 grad_norm: 3.7555 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7039 loss: 1.7039 2022/08/08 22:59:51 - mmengine - INFO - Epoch(train) [19][1340/1879] lr: 2.0000e-02 eta: 1 day, 1:44:01 time: 0.5705 data_time: 0.0238 memory: 13723 grad_norm: 3.8351 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.5615 loss: 1.5615 2022/08/08 23:00:02 - mmengine - INFO - Epoch(train) [19][1360/1879] lr: 2.0000e-02 eta: 1 day, 1:43:46 time: 0.5735 data_time: 0.0253 memory: 13723 grad_norm: 3.9782 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5860 loss: 1.5860 2022/08/08 23:00:15 - mmengine - INFO - Epoch(train) [19][1380/1879] lr: 2.0000e-02 eta: 1 day, 1:43:37 time: 0.6407 data_time: 0.0897 memory: 13723 grad_norm: 3.7974 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5062 loss: 1.5062 2022/08/08 23:00:28 - mmengine - INFO - Epoch(train) [19][1400/1879] lr: 2.0000e-02 eta: 1 day, 1:43:26 time: 0.6265 data_time: 0.0270 memory: 13723 grad_norm: 3.8539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6258 loss: 1.6258 2022/08/08 23:00:39 - mmengine - INFO - Epoch(train) [19][1420/1879] lr: 2.0000e-02 eta: 1 day, 1:43:12 time: 0.5794 data_time: 0.0230 memory: 13723 grad_norm: 3.7994 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4886 loss: 1.4886 2022/08/08 23:00:51 - mmengine - INFO - Epoch(train) [19][1440/1879] lr: 2.0000e-02 eta: 1 day, 1:42:58 time: 0.5831 data_time: 0.0233 memory: 13723 grad_norm: 3.7086 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6164 loss: 1.6164 2022/08/08 23:01:03 - mmengine - INFO - Epoch(train) [19][1460/1879] lr: 2.0000e-02 eta: 1 day, 1:42:42 time: 0.5722 data_time: 0.0225 memory: 13723 grad_norm: 3.8935 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7568 loss: 1.7568 2022/08/08 23:01:14 - mmengine - INFO - Epoch(train) [19][1480/1879] lr: 2.0000e-02 eta: 1 day, 1:42:27 time: 0.5715 data_time: 0.0225 memory: 13723 grad_norm: 3.8113 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6773 loss: 1.6773 2022/08/08 23:01:25 - mmengine - INFO - Epoch(train) [19][1500/1879] lr: 2.0000e-02 eta: 1 day, 1:42:12 time: 0.5732 data_time: 0.0217 memory: 13723 grad_norm: 3.8325 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6803 loss: 1.6803 2022/08/08 23:01:37 - mmengine - INFO - Epoch(train) [19][1520/1879] lr: 2.0000e-02 eta: 1 day, 1:41:58 time: 0.5830 data_time: 0.0224 memory: 13723 grad_norm: 3.8187 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8674 loss: 1.8674 2022/08/08 23:01:49 - mmengine - INFO - Epoch(train) [19][1540/1879] lr: 2.0000e-02 eta: 1 day, 1:41:46 time: 0.6043 data_time: 0.0236 memory: 13723 grad_norm: 3.8241 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7105 loss: 1.7105 2022/08/08 23:02:00 - mmengine - INFO - Epoch(train) [19][1560/1879] lr: 2.0000e-02 eta: 1 day, 1:41:30 time: 0.5627 data_time: 0.0225 memory: 13723 grad_norm: 3.8740 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6033 loss: 1.6033 2022/08/08 23:02:12 - mmengine - INFO - Epoch(train) [19][1580/1879] lr: 2.0000e-02 eta: 1 day, 1:41:15 time: 0.5700 data_time: 0.0250 memory: 13723 grad_norm: 3.7636 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3671 loss: 1.3671 2022/08/08 23:02:23 - mmengine - INFO - Epoch(train) [19][1600/1879] lr: 2.0000e-02 eta: 1 day, 1:40:59 time: 0.5685 data_time: 0.0233 memory: 13723 grad_norm: 3.9309 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5177 loss: 1.5177 2022/08/08 23:02:35 - mmengine - INFO - Epoch(train) [19][1620/1879] lr: 2.0000e-02 eta: 1 day, 1:40:44 time: 0.5750 data_time: 0.0235 memory: 13723 grad_norm: 3.7815 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4899 loss: 1.4899 2022/08/08 23:02:46 - mmengine - INFO - Epoch(train) [19][1640/1879] lr: 2.0000e-02 eta: 1 day, 1:40:29 time: 0.5727 data_time: 0.0228 memory: 13723 grad_norm: 3.7843 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7588 loss: 1.7588 2022/08/08 23:02:58 - mmengine - INFO - Epoch(train) [19][1660/1879] lr: 2.0000e-02 eta: 1 day, 1:40:14 time: 0.5712 data_time: 0.0220 memory: 13723 grad_norm: 3.7862 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6675 loss: 1.6675 2022/08/08 23:03:09 - mmengine - INFO - Epoch(train) [19][1680/1879] lr: 2.0000e-02 eta: 1 day, 1:39:59 time: 0.5738 data_time: 0.0247 memory: 13723 grad_norm: 3.8355 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7040 loss: 1.7040 2022/08/08 23:03:20 - mmengine - INFO - Epoch(train) [19][1700/1879] lr: 2.0000e-02 eta: 1 day, 1:39:44 time: 0.5681 data_time: 0.0242 memory: 13723 grad_norm: 3.8053 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5463 loss: 1.5463 2022/08/08 23:03:32 - mmengine - INFO - Epoch(train) [19][1720/1879] lr: 2.0000e-02 eta: 1 day, 1:39:29 time: 0.5707 data_time: 0.0231 memory: 13723 grad_norm: 3.8117 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5059 loss: 1.5059 2022/08/08 23:03:43 - mmengine - INFO - Epoch(train) [19][1740/1879] lr: 2.0000e-02 eta: 1 day, 1:39:14 time: 0.5703 data_time: 0.0229 memory: 13723 grad_norm: 3.6990 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4196 loss: 1.4196 2022/08/08 23:03:55 - mmengine - INFO - Epoch(train) [19][1760/1879] lr: 2.0000e-02 eta: 1 day, 1:38:58 time: 0.5691 data_time: 0.0259 memory: 13723 grad_norm: 3.8469 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6465 loss: 1.6465 2022/08/08 23:04:06 - mmengine - INFO - Epoch(train) [19][1780/1879] lr: 2.0000e-02 eta: 1 day, 1:38:43 time: 0.5726 data_time: 0.0238 memory: 13723 grad_norm: 3.7825 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5173 loss: 1.5173 2022/08/08 23:04:18 - mmengine - INFO - Epoch(train) [19][1800/1879] lr: 2.0000e-02 eta: 1 day, 1:38:30 time: 0.5916 data_time: 0.0257 memory: 13723 grad_norm: 3.7847 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5789 loss: 1.5789 2022/08/08 23:04:30 - mmengine - INFO - Epoch(train) [19][1820/1879] lr: 2.0000e-02 eta: 1 day, 1:38:16 time: 0.5829 data_time: 0.0227 memory: 13723 grad_norm: 3.8246 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6770 loss: 1.6770 2022/08/08 23:04:41 - mmengine - INFO - Epoch(train) [19][1840/1879] lr: 2.0000e-02 eta: 1 day, 1:38:01 time: 0.5735 data_time: 0.0233 memory: 13723 grad_norm: 3.8501 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6637 loss: 1.6637 2022/08/08 23:04:53 - mmengine - INFO - Epoch(train) [19][1860/1879] lr: 2.0000e-02 eta: 1 day, 1:37:46 time: 0.5708 data_time: 0.0235 memory: 13723 grad_norm: 3.8997 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6318 loss: 1.6318 2022/08/08 23:05:03 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 23:05:03 - mmengine - INFO - Epoch(train) [19][1879/1879] lr: 2.0000e-02 eta: 1 day, 1:37:46 time: 0.5356 data_time: 0.0217 memory: 13723 grad_norm: 3.8820 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 1.6889 loss: 1.6889 2022/08/08 23:05:23 - mmengine - INFO - Epoch(val) [19][20/155] eta: 0:02:09 time: 0.9589 data_time: 0.8134 memory: 1829 2022/08/08 23:05:32 - mmengine - INFO - Epoch(val) [19][40/155] eta: 0:00:56 time: 0.4918 data_time: 0.3521 memory: 1829 2022/08/08 23:05:46 - mmengine - INFO - Epoch(val) [19][60/155] eta: 0:01:06 time: 0.7011 data_time: 0.5606 memory: 1829 2022/08/08 23:05:57 - mmengine - INFO - Epoch(val) [19][80/155] eta: 0:00:40 time: 0.5410 data_time: 0.4020 memory: 1829 2022/08/08 23:06:11 - mmengine - INFO - Epoch(val) [19][100/155] eta: 0:00:38 time: 0.7049 data_time: 0.5664 memory: 1829 2022/08/08 23:06:19 - mmengine - INFO - Epoch(val) [19][120/155] eta: 0:00:15 time: 0.4335 data_time: 0.2942 memory: 1829 2022/08/08 23:06:31 - mmengine - INFO - Epoch(val) [19][140/155] eta: 0:00:08 time: 0.5720 data_time: 0.4296 memory: 1829 2022/08/08 23:06:37 - mmengine - INFO - Epoch(val) [19][155/155] acc/top1: 0.6034 acc/top5: 0.8394 acc/mean1: 0.6033 2022/08/08 23:06:56 - mmengine - INFO - Epoch(train) [20][20/1879] lr: 2.0000e-02 eta: 1 day, 1:37:03 time: 0.9618 data_time: 0.3464 memory: 13723 grad_norm: 3.7221 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5898 loss: 1.5898 2022/08/08 23:07:08 - mmengine - INFO - Epoch(train) [20][40/1879] lr: 2.0000e-02 eta: 1 day, 1:36:49 time: 0.5803 data_time: 0.0330 memory: 13723 grad_norm: 3.6633 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4684 loss: 1.4684 2022/08/08 23:07:19 - mmengine - INFO - Epoch(train) [20][60/1879] lr: 2.0000e-02 eta: 1 day, 1:36:34 time: 0.5707 data_time: 0.0240 memory: 13723 grad_norm: 3.7599 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5677 loss: 1.5677 2022/08/08 23:07:31 - mmengine - INFO - Epoch(train) [20][80/1879] lr: 2.0000e-02 eta: 1 day, 1:36:18 time: 0.5655 data_time: 0.0239 memory: 13723 grad_norm: 3.8130 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5543 loss: 1.5543 2022/08/08 23:07:42 - mmengine - INFO - Epoch(train) [20][100/1879] lr: 2.0000e-02 eta: 1 day, 1:36:03 time: 0.5707 data_time: 0.0236 memory: 13723 grad_norm: 3.6916 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6303 loss: 1.6303 2022/08/08 23:07:54 - mmengine - INFO - Epoch(train) [20][120/1879] lr: 2.0000e-02 eta: 1 day, 1:35:51 time: 0.5996 data_time: 0.0222 memory: 13723 grad_norm: 3.7461 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6696 loss: 1.6696 2022/08/08 23:08:05 - mmengine - INFO - Epoch(train) [20][140/1879] lr: 2.0000e-02 eta: 1 day, 1:35:36 time: 0.5712 data_time: 0.0268 memory: 13723 grad_norm: 3.6820 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5523 loss: 1.5523 2022/08/08 23:08:17 - mmengine - INFO - Epoch(train) [20][160/1879] lr: 2.0000e-02 eta: 1 day, 1:35:20 time: 0.5684 data_time: 0.0216 memory: 13723 grad_norm: 3.9094 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5909 loss: 1.5909 2022/08/08 23:08:28 - mmengine - INFO - Epoch(train) [20][180/1879] lr: 2.0000e-02 eta: 1 day, 1:35:05 time: 0.5740 data_time: 0.0267 memory: 13723 grad_norm: 3.8333 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4869 loss: 1.4869 2022/08/08 23:08:40 - mmengine - INFO - Epoch(train) [20][200/1879] lr: 2.0000e-02 eta: 1 day, 1:34:51 time: 0.5828 data_time: 0.0222 memory: 13723 grad_norm: 3.8205 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7405 loss: 1.7405 2022/08/08 23:08:52 - mmengine - INFO - Epoch(train) [20][220/1879] lr: 2.0000e-02 eta: 1 day, 1:34:37 time: 0.5840 data_time: 0.0256 memory: 13723 grad_norm: 3.7963 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5675 loss: 1.5675 2022/08/08 23:09:03 - mmengine - INFO - Epoch(train) [20][240/1879] lr: 2.0000e-02 eta: 1 day, 1:34:22 time: 0.5693 data_time: 0.0229 memory: 13723 grad_norm: 3.7775 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6721 loss: 1.6721 2022/08/08 23:09:14 - mmengine - INFO - Epoch(train) [20][260/1879] lr: 2.0000e-02 eta: 1 day, 1:34:07 time: 0.5725 data_time: 0.0274 memory: 13723 grad_norm: 3.8657 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.7303 loss: 1.7303 2022/08/08 23:09:26 - mmengine - INFO - Epoch(train) [20][280/1879] lr: 2.0000e-02 eta: 1 day, 1:33:52 time: 0.5693 data_time: 0.0228 memory: 13723 grad_norm: 3.8281 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5568 loss: 1.5568 2022/08/08 23:09:37 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 23:09:37 - mmengine - INFO - Epoch(train) [20][300/1879] lr: 2.0000e-02 eta: 1 day, 1:33:37 time: 0.5696 data_time: 0.0264 memory: 13723 grad_norm: 3.8613 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8319 loss: 1.8319 2022/08/08 23:09:49 - mmengine - INFO - Epoch(train) [20][320/1879] lr: 2.0000e-02 eta: 1 day, 1:33:22 time: 0.5756 data_time: 0.0229 memory: 13723 grad_norm: 3.8601 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7452 loss: 1.7452 2022/08/08 23:10:00 - mmengine - INFO - Epoch(train) [20][340/1879] lr: 2.0000e-02 eta: 1 day, 1:33:07 time: 0.5716 data_time: 0.0242 memory: 13723 grad_norm: 3.7912 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4934 loss: 1.4934 2022/08/08 23:10:12 - mmengine - INFO - Epoch(train) [20][360/1879] lr: 2.0000e-02 eta: 1 day, 1:32:53 time: 0.5854 data_time: 0.0283 memory: 13723 grad_norm: 3.9069 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6455 loss: 1.6455 2022/08/08 23:10:24 - mmengine - INFO - Epoch(train) [20][380/1879] lr: 2.0000e-02 eta: 1 day, 1:32:43 time: 0.6214 data_time: 0.0595 memory: 13723 grad_norm: 3.8676 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5192 loss: 1.5192 2022/08/08 23:10:36 - mmengine - INFO - Epoch(train) [20][400/1879] lr: 2.0000e-02 eta: 1 day, 1:32:29 time: 0.5890 data_time: 0.0208 memory: 13723 grad_norm: 3.7635 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5200 loss: 1.5200 2022/08/08 23:10:48 - mmengine - INFO - Epoch(train) [20][420/1879] lr: 2.0000e-02 eta: 1 day, 1:32:17 time: 0.6097 data_time: 0.0538 memory: 13723 grad_norm: 3.7881 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6653 loss: 1.6653 2022/08/08 23:11:00 - mmengine - INFO - Epoch(train) [20][440/1879] lr: 2.0000e-02 eta: 1 day, 1:32:02 time: 0.5669 data_time: 0.0234 memory: 13723 grad_norm: 3.8200 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3976 loss: 1.3976 2022/08/08 23:11:11 - mmengine - INFO - Epoch(train) [20][460/1879] lr: 2.0000e-02 eta: 1 day, 1:31:47 time: 0.5742 data_time: 0.0224 memory: 13723 grad_norm: 3.8441 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3623 loss: 1.3623 2022/08/08 23:11:23 - mmengine - INFO - Epoch(train) [20][480/1879] lr: 2.0000e-02 eta: 1 day, 1:31:32 time: 0.5732 data_time: 0.0276 memory: 13723 grad_norm: 3.9314 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.5530 loss: 1.5530 2022/08/08 23:11:34 - mmengine - INFO - Epoch(train) [20][500/1879] lr: 2.0000e-02 eta: 1 day, 1:31:19 time: 0.5940 data_time: 0.0230 memory: 13723 grad_norm: 3.8489 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6069 loss: 1.6069 2022/08/08 23:11:46 - mmengine - INFO - Epoch(train) [20][520/1879] lr: 2.0000e-02 eta: 1 day, 1:31:03 time: 0.5623 data_time: 0.0231 memory: 13723 grad_norm: 3.8420 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4576 loss: 1.4576 2022/08/08 23:11:57 - mmengine - INFO - Epoch(train) [20][540/1879] lr: 2.0000e-02 eta: 1 day, 1:30:49 time: 0.5736 data_time: 0.0236 memory: 13723 grad_norm: 3.8144 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7126 loss: 1.7126 2022/08/08 23:12:11 - mmengine - INFO - Epoch(train) [20][560/1879] lr: 2.0000e-02 eta: 1 day, 1:30:42 time: 0.6765 data_time: 0.0222 memory: 13723 grad_norm: 3.8778 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5406 loss: 1.5406 2022/08/08 23:12:22 - mmengine - INFO - Epoch(train) [20][580/1879] lr: 2.0000e-02 eta: 1 day, 1:30:28 time: 0.5727 data_time: 0.0211 memory: 13723 grad_norm: 3.7761 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8048 loss: 1.8048 2022/08/08 23:12:34 - mmengine - INFO - Epoch(train) [20][600/1879] lr: 2.0000e-02 eta: 1 day, 1:30:16 time: 0.6110 data_time: 0.0231 memory: 13723 grad_norm: 3.8856 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4504 loss: 1.4504 2022/08/08 23:12:46 - mmengine - INFO - Epoch(train) [20][620/1879] lr: 2.0000e-02 eta: 1 day, 1:30:01 time: 0.5699 data_time: 0.0238 memory: 13723 grad_norm: 3.8403 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5116 loss: 1.5116 2022/08/08 23:12:57 - mmengine - INFO - Epoch(train) [20][640/1879] lr: 2.0000e-02 eta: 1 day, 1:29:46 time: 0.5768 data_time: 0.0213 memory: 13723 grad_norm: 3.7756 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3591 loss: 1.3591 2022/08/08 23:13:10 - mmengine - INFO - Epoch(train) [20][660/1879] lr: 2.0000e-02 eta: 1 day, 1:29:36 time: 0.6279 data_time: 0.0235 memory: 13723 grad_norm: 3.8912 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7291 loss: 1.7291 2022/08/08 23:13:21 - mmengine - INFO - Epoch(train) [20][680/1879] lr: 2.0000e-02 eta: 1 day, 1:29:21 time: 0.5694 data_time: 0.0201 memory: 13723 grad_norm: 3.8633 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8640 loss: 1.8640 2022/08/08 23:13:33 - mmengine - INFO - Epoch(train) [20][700/1879] lr: 2.0000e-02 eta: 1 day, 1:29:07 time: 0.5809 data_time: 0.0225 memory: 13723 grad_norm: 3.8327 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5730 loss: 1.5730 2022/08/08 23:13:45 - mmengine - INFO - Epoch(train) [20][720/1879] lr: 2.0000e-02 eta: 1 day, 1:28:52 time: 0.5764 data_time: 0.0225 memory: 13723 grad_norm: 3.8316 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5917 loss: 1.5917 2022/08/08 23:13:56 - mmengine - INFO - Epoch(train) [20][740/1879] lr: 2.0000e-02 eta: 1 day, 1:28:38 time: 0.5802 data_time: 0.0248 memory: 13723 grad_norm: 3.9329 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4714 loss: 1.4714 2022/08/08 23:14:09 - mmengine - INFO - Epoch(train) [20][760/1879] lr: 2.0000e-02 eta: 1 day, 1:28:29 time: 0.6488 data_time: 0.0904 memory: 13723 grad_norm: 3.8627 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4819 loss: 1.4819 2022/08/08 23:14:21 - mmengine - INFO - Epoch(train) [20][780/1879] lr: 2.0000e-02 eta: 1 day, 1:28:15 time: 0.5807 data_time: 0.0265 memory: 13723 grad_norm: 3.8364 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7296 loss: 1.7296 2022/08/08 23:14:32 - mmengine - INFO - Epoch(train) [20][800/1879] lr: 2.0000e-02 eta: 1 day, 1:28:01 time: 0.5777 data_time: 0.0217 memory: 13723 grad_norm: 3.9791 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7799 loss: 1.7799 2022/08/08 23:14:44 - mmengine - INFO - Epoch(train) [20][820/1879] lr: 2.0000e-02 eta: 1 day, 1:27:47 time: 0.5850 data_time: 0.0261 memory: 13723 grad_norm: 3.8033 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5711 loss: 1.5711 2022/08/08 23:14:55 - mmengine - INFO - Epoch(train) [20][840/1879] lr: 2.0000e-02 eta: 1 day, 1:27:32 time: 0.5745 data_time: 0.0216 memory: 13723 grad_norm: 3.8759 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6576 loss: 1.6576 2022/08/08 23:15:07 - mmengine - INFO - Epoch(train) [20][860/1879] lr: 2.0000e-02 eta: 1 day, 1:27:18 time: 0.5754 data_time: 0.0282 memory: 13723 grad_norm: 3.9148 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5712 loss: 1.5712 2022/08/08 23:15:19 - mmengine - INFO - Epoch(train) [20][880/1879] lr: 2.0000e-02 eta: 1 day, 1:27:05 time: 0.5989 data_time: 0.0233 memory: 13723 grad_norm: 3.8521 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6869 loss: 1.6869 2022/08/08 23:15:32 - mmengine - INFO - Epoch(train) [20][900/1879] lr: 2.0000e-02 eta: 1 day, 1:26:55 time: 0.6351 data_time: 0.0262 memory: 13723 grad_norm: 3.7817 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4169 loss: 1.4169 2022/08/08 23:15:43 - mmengine - INFO - Epoch(train) [20][920/1879] lr: 2.0000e-02 eta: 1 day, 1:26:41 time: 0.5793 data_time: 0.0191 memory: 13723 grad_norm: 3.8489 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6155 loss: 1.6155 2022/08/08 23:15:55 - mmengine - INFO - Epoch(train) [20][940/1879] lr: 2.0000e-02 eta: 1 day, 1:26:26 time: 0.5673 data_time: 0.0252 memory: 13723 grad_norm: 3.9052 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4861 loss: 1.4861 2022/08/08 23:16:06 - mmengine - INFO - Epoch(train) [20][960/1879] lr: 2.0000e-02 eta: 1 day, 1:26:11 time: 0.5657 data_time: 0.0222 memory: 13723 grad_norm: 3.7421 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4854 loss: 1.4854 2022/08/08 23:16:17 - mmengine - INFO - Epoch(train) [20][980/1879] lr: 2.0000e-02 eta: 1 day, 1:25:55 time: 0.5693 data_time: 0.0248 memory: 13723 grad_norm: 3.8197 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3839 loss: 1.3839 2022/08/08 23:16:29 - mmengine - INFO - Epoch(train) [20][1000/1879] lr: 2.0000e-02 eta: 1 day, 1:25:41 time: 0.5747 data_time: 0.0224 memory: 13723 grad_norm: 3.9198 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6531 loss: 1.6531 2022/08/08 23:16:40 - mmengine - INFO - Epoch(train) [20][1020/1879] lr: 2.0000e-02 eta: 1 day, 1:25:25 time: 0.5616 data_time: 0.0249 memory: 13723 grad_norm: 3.8638 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6805 loss: 1.6805 2022/08/08 23:16:51 - mmengine - INFO - Epoch(train) [20][1040/1879] lr: 2.0000e-02 eta: 1 day, 1:25:10 time: 0.5673 data_time: 0.0245 memory: 13723 grad_norm: 3.8608 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6192 loss: 1.6192 2022/08/08 23:17:03 - mmengine - INFO - Epoch(train) [20][1060/1879] lr: 2.0000e-02 eta: 1 day, 1:24:54 time: 0.5653 data_time: 0.0230 memory: 13723 grad_norm: 3.7893 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6405 loss: 1.6405 2022/08/08 23:17:14 - mmengine - INFO - Epoch(train) [20][1080/1879] lr: 2.0000e-02 eta: 1 day, 1:24:40 time: 0.5773 data_time: 0.0231 memory: 13723 grad_norm: 3.9193 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8505 loss: 1.8505 2022/08/08 23:17:26 - mmengine - INFO - Epoch(train) [20][1100/1879] lr: 2.0000e-02 eta: 1 day, 1:24:25 time: 0.5758 data_time: 0.0229 memory: 13723 grad_norm: 3.8996 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7132 loss: 1.7132 2022/08/08 23:17:37 - mmengine - INFO - Epoch(train) [20][1120/1879] lr: 2.0000e-02 eta: 1 day, 1:24:10 time: 0.5671 data_time: 0.0261 memory: 13723 grad_norm: 3.8478 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6673 loss: 1.6673 2022/08/08 23:17:49 - mmengine - INFO - Epoch(train) [20][1140/1879] lr: 2.0000e-02 eta: 1 day, 1:23:55 time: 0.5696 data_time: 0.0236 memory: 13723 grad_norm: 3.7431 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7160 loss: 1.7160 2022/08/08 23:18:00 - mmengine - INFO - Epoch(train) [20][1160/1879] lr: 2.0000e-02 eta: 1 day, 1:23:41 time: 0.5787 data_time: 0.0314 memory: 13723 grad_norm: 3.8066 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6667 loss: 1.6667 2022/08/08 23:18:12 - mmengine - INFO - Epoch(train) [20][1180/1879] lr: 2.0000e-02 eta: 1 day, 1:23:26 time: 0.5738 data_time: 0.0268 memory: 13723 grad_norm: 3.8759 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7333 loss: 1.7333 2022/08/08 23:18:23 - mmengine - INFO - Epoch(train) [20][1200/1879] lr: 2.0000e-02 eta: 1 day, 1:23:12 time: 0.5754 data_time: 0.0253 memory: 13723 grad_norm: 3.8482 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5097 loss: 1.5097 2022/08/08 23:18:35 - mmengine - INFO - Epoch(train) [20][1220/1879] lr: 2.0000e-02 eta: 1 day, 1:22:57 time: 0.5791 data_time: 0.0233 memory: 13723 grad_norm: 3.7207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4965 loss: 1.4965 2022/08/08 23:18:46 - mmengine - INFO - Epoch(train) [20][1240/1879] lr: 2.0000e-02 eta: 1 day, 1:22:43 time: 0.5826 data_time: 0.0240 memory: 13723 grad_norm: 3.7829 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7941 loss: 1.7941 2022/08/08 23:18:58 - mmengine - INFO - Epoch(train) [20][1260/1879] lr: 2.0000e-02 eta: 1 day, 1:22:29 time: 0.5795 data_time: 0.0238 memory: 13723 grad_norm: 3.7581 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6250 loss: 1.6250 2022/08/08 23:19:09 - mmengine - INFO - Epoch(train) [20][1280/1879] lr: 2.0000e-02 eta: 1 day, 1:22:14 time: 0.5716 data_time: 0.0243 memory: 13723 grad_norm: 3.8812 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6321 loss: 1.6321 2022/08/08 23:19:20 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 23:19:21 - mmengine - INFO - Epoch(train) [20][1300/1879] lr: 2.0000e-02 eta: 1 day, 1:22:00 time: 0.5743 data_time: 0.0266 memory: 13723 grad_norm: 3.8624 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6698 loss: 1.6698 2022/08/08 23:19:32 - mmengine - INFO - Epoch(train) [20][1320/1879] lr: 2.0000e-02 eta: 1 day, 1:21:45 time: 0.5705 data_time: 0.0213 memory: 13723 grad_norm: 3.8377 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7159 loss: 1.7159 2022/08/08 23:19:44 - mmengine - INFO - Epoch(train) [20][1340/1879] lr: 2.0000e-02 eta: 1 day, 1:21:30 time: 0.5728 data_time: 0.0263 memory: 13723 grad_norm: 3.7506 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5906 loss: 1.5906 2022/08/08 23:19:55 - mmengine - INFO - Epoch(train) [20][1360/1879] lr: 2.0000e-02 eta: 1 day, 1:21:16 time: 0.5770 data_time: 0.0212 memory: 13723 grad_norm: 3.9301 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7025 loss: 1.7025 2022/08/08 23:20:07 - mmengine - INFO - Epoch(train) [20][1380/1879] lr: 2.0000e-02 eta: 1 day, 1:21:01 time: 0.5685 data_time: 0.0244 memory: 13723 grad_norm: 3.7986 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6339 loss: 1.6339 2022/08/08 23:20:19 - mmengine - INFO - Epoch(train) [20][1400/1879] lr: 2.0000e-02 eta: 1 day, 1:20:51 time: 0.6317 data_time: 0.0238 memory: 13723 grad_norm: 3.7337 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5737 loss: 1.5737 2022/08/08 23:20:32 - mmengine - INFO - Epoch(train) [20][1420/1879] lr: 2.0000e-02 eta: 1 day, 1:20:42 time: 0.6423 data_time: 0.0277 memory: 13723 grad_norm: 3.8711 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7953 loss: 1.7953 2022/08/08 23:20:44 - mmengine - INFO - Epoch(train) [20][1440/1879] lr: 2.0000e-02 eta: 1 day, 1:20:28 time: 0.5861 data_time: 0.0248 memory: 13723 grad_norm: 3.7161 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7817 loss: 1.7817 2022/08/08 23:20:56 - mmengine - INFO - Epoch(train) [20][1460/1879] lr: 2.0000e-02 eta: 1 day, 1:20:14 time: 0.5836 data_time: 0.0258 memory: 13723 grad_norm: 3.8112 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4949 loss: 1.4949 2022/08/08 23:21:07 - mmengine - INFO - Epoch(train) [20][1480/1879] lr: 2.0000e-02 eta: 1 day, 1:20:00 time: 0.5760 data_time: 0.0223 memory: 13723 grad_norm: 3.8460 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5853 loss: 1.5853 2022/08/08 23:21:19 - mmengine - INFO - Epoch(train) [20][1500/1879] lr: 2.0000e-02 eta: 1 day, 1:19:46 time: 0.5828 data_time: 0.0254 memory: 13723 grad_norm: 3.8233 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4407 loss: 1.4407 2022/08/08 23:21:30 - mmengine - INFO - Epoch(train) [20][1520/1879] lr: 2.0000e-02 eta: 1 day, 1:19:31 time: 0.5776 data_time: 0.0209 memory: 13723 grad_norm: 3.8063 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5811 loss: 1.5811 2022/08/08 23:21:42 - mmengine - INFO - Epoch(train) [20][1540/1879] lr: 2.0000e-02 eta: 1 day, 1:19:17 time: 0.5717 data_time: 0.0249 memory: 13723 grad_norm: 3.8392 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6769 loss: 1.6769 2022/08/08 23:21:53 - mmengine - INFO - Epoch(train) [20][1560/1879] lr: 2.0000e-02 eta: 1 day, 1:19:02 time: 0.5700 data_time: 0.0198 memory: 13723 grad_norm: 3.8307 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6525 loss: 1.6525 2022/08/08 23:22:05 - mmengine - INFO - Epoch(train) [20][1580/1879] lr: 2.0000e-02 eta: 1 day, 1:18:47 time: 0.5671 data_time: 0.0238 memory: 13723 grad_norm: 3.8911 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.5954 loss: 1.5954 2022/08/08 23:22:16 - mmengine - INFO - Epoch(train) [20][1600/1879] lr: 2.0000e-02 eta: 1 day, 1:18:32 time: 0.5692 data_time: 0.0236 memory: 13723 grad_norm: 3.8396 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6680 loss: 1.6680 2022/08/08 23:22:28 - mmengine - INFO - Epoch(train) [20][1620/1879] lr: 2.0000e-02 eta: 1 day, 1:18:17 time: 0.5782 data_time: 0.0244 memory: 13723 grad_norm: 3.7794 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7196 loss: 1.7196 2022/08/08 23:22:39 - mmengine - INFO - Epoch(train) [20][1640/1879] lr: 2.0000e-02 eta: 1 day, 1:18:02 time: 0.5683 data_time: 0.0204 memory: 13723 grad_norm: 3.7821 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7037 loss: 1.7037 2022/08/08 23:22:50 - mmengine - INFO - Epoch(train) [20][1660/1879] lr: 2.0000e-02 eta: 1 day, 1:17:47 time: 0.5691 data_time: 0.0228 memory: 13723 grad_norm: 3.7807 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5100 loss: 1.5100 2022/08/08 23:23:02 - mmengine - INFO - Epoch(train) [20][1680/1879] lr: 2.0000e-02 eta: 1 day, 1:17:32 time: 0.5688 data_time: 0.0239 memory: 13723 grad_norm: 3.7903 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5730 loss: 1.5730 2022/08/08 23:23:13 - mmengine - INFO - Epoch(train) [20][1700/1879] lr: 2.0000e-02 eta: 1 day, 1:17:17 time: 0.5698 data_time: 0.0243 memory: 13723 grad_norm: 3.7821 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6200 loss: 1.6200 2022/08/08 23:23:24 - mmengine - INFO - Epoch(train) [20][1720/1879] lr: 2.0000e-02 eta: 1 day, 1:17:02 time: 0.5695 data_time: 0.0254 memory: 13723 grad_norm: 3.7710 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6620 loss: 1.6620 2022/08/08 23:23:36 - mmengine - INFO - Epoch(train) [20][1740/1879] lr: 2.0000e-02 eta: 1 day, 1:16:47 time: 0.5666 data_time: 0.0227 memory: 13723 grad_norm: 3.8762 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7494 loss: 1.7494 2022/08/08 23:23:47 - mmengine - INFO - Epoch(train) [20][1760/1879] lr: 2.0000e-02 eta: 1 day, 1:16:32 time: 0.5667 data_time: 0.0255 memory: 13723 grad_norm: 3.8500 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7642 loss: 1.7642 2022/08/08 23:23:59 - mmengine - INFO - Epoch(train) [20][1780/1879] lr: 2.0000e-02 eta: 1 day, 1:16:17 time: 0.5683 data_time: 0.0236 memory: 13723 grad_norm: 3.7928 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6137 loss: 1.6137 2022/08/08 23:24:10 - mmengine - INFO - Epoch(train) [20][1800/1879] lr: 2.0000e-02 eta: 1 day, 1:16:02 time: 0.5705 data_time: 0.0231 memory: 13723 grad_norm: 3.7936 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6313 loss: 1.6313 2022/08/08 23:24:21 - mmengine - INFO - Epoch(train) [20][1820/1879] lr: 2.0000e-02 eta: 1 day, 1:15:47 time: 0.5717 data_time: 0.0239 memory: 13723 grad_norm: 3.7513 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6437 loss: 1.6437 2022/08/08 23:24:33 - mmengine - INFO - Epoch(train) [20][1840/1879] lr: 2.0000e-02 eta: 1 day, 1:15:33 time: 0.5704 data_time: 0.0269 memory: 13723 grad_norm: 3.8598 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6805 loss: 1.6805 2022/08/08 23:24:44 - mmengine - INFO - Epoch(train) [20][1860/1879] lr: 2.0000e-02 eta: 1 day, 1:15:18 time: 0.5730 data_time: 0.0258 memory: 13723 grad_norm: 3.7841 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5271 loss: 1.5271 2022/08/08 23:24:54 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 23:24:54 - mmengine - INFO - Epoch(train) [20][1879/1879] lr: 2.0000e-02 eta: 1 day, 1:15:18 time: 0.5287 data_time: 0.0134 memory: 13723 grad_norm: 3.7827 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.7394 loss: 1.7394 2022/08/08 23:25:12 - mmengine - INFO - Epoch(val) [20][20/155] eta: 0:02:00 time: 0.8895 data_time: 0.7499 memory: 1829 2022/08/08 23:25:22 - mmengine - INFO - Epoch(val) [20][40/155] eta: 0:00:54 time: 0.4771 data_time: 0.3376 memory: 1829 2022/08/08 23:25:34 - mmengine - INFO - Epoch(val) [20][60/155] eta: 0:00:56 time: 0.5938 data_time: 0.4521 memory: 1829 2022/08/08 23:25:44 - mmengine - INFO - Epoch(val) [20][80/155] eta: 0:00:39 time: 0.5295 data_time: 0.3899 memory: 1829 2022/08/08 23:25:56 - mmengine - INFO - Epoch(val) [20][100/155] eta: 0:00:31 time: 0.5785 data_time: 0.4357 memory: 1829 2022/08/08 23:26:07 - mmengine - INFO - Epoch(val) [20][120/155] eta: 0:00:19 time: 0.5593 data_time: 0.4199 memory: 1829 2022/08/08 23:26:21 - mmengine - INFO - Epoch(val) [20][140/155] eta: 0:00:10 time: 0.6884 data_time: 0.5515 memory: 1829 2022/08/08 23:26:28 - mmengine - INFO - Epoch(val) [20][155/155] acc/top1: 0.6095 acc/top5: 0.8373 acc/mean1: 0.6095 2022/08/08 23:26:28 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_19.pth is removed 2022/08/08 23:26:30 - mmengine - INFO - The best checkpoint with 0.6095 acc/top1 at 21 epoch is saved to best_acc/top1_epoch_21.pth. 2022/08/08 23:26:46 - mmengine - INFO - Epoch(train) [21][20/1879] lr: 2.0000e-02 eta: 1 day, 1:14:24 time: 0.8038 data_time: 0.2194 memory: 13723 grad_norm: 3.7392 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6579 loss: 1.6579 2022/08/08 23:26:58 - mmengine - INFO - Epoch(train) [21][40/1879] lr: 2.0000e-02 eta: 1 day, 1:14:10 time: 0.5790 data_time: 0.0329 memory: 13723 grad_norm: 3.7030 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4642 loss: 1.4642 2022/08/08 23:27:09 - mmengine - INFO - Epoch(train) [21][60/1879] lr: 2.0000e-02 eta: 1 day, 1:13:56 time: 0.5757 data_time: 0.0242 memory: 13723 grad_norm: 3.8493 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5949 loss: 1.5949 2022/08/08 23:27:21 - mmengine - INFO - Epoch(train) [21][80/1879] lr: 2.0000e-02 eta: 1 day, 1:13:41 time: 0.5769 data_time: 0.0216 memory: 13723 grad_norm: 3.8264 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5749 loss: 1.5749 2022/08/08 23:27:32 - mmengine - INFO - Epoch(train) [21][100/1879] lr: 2.0000e-02 eta: 1 day, 1:13:28 time: 0.5881 data_time: 0.0253 memory: 13723 grad_norm: 3.7981 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5094 loss: 1.5094 2022/08/08 23:27:44 - mmengine - INFO - Epoch(train) [21][120/1879] lr: 2.0000e-02 eta: 1 day, 1:13:13 time: 0.5678 data_time: 0.0189 memory: 13723 grad_norm: 3.7844 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5333 loss: 1.5333 2022/08/08 23:27:56 - mmengine - INFO - Epoch(train) [21][140/1879] lr: 2.0000e-02 eta: 1 day, 1:13:00 time: 0.5914 data_time: 0.0455 memory: 13723 grad_norm: 3.8586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7199 loss: 1.7199 2022/08/08 23:28:07 - mmengine - INFO - Epoch(train) [21][160/1879] lr: 2.0000e-02 eta: 1 day, 1:12:45 time: 0.5662 data_time: 0.0230 memory: 13723 grad_norm: 3.8665 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5936 loss: 1.5936 2022/08/08 23:28:18 - mmengine - INFO - Epoch(train) [21][180/1879] lr: 2.0000e-02 eta: 1 day, 1:12:30 time: 0.5715 data_time: 0.0218 memory: 13723 grad_norm: 3.9129 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6974 loss: 1.6974 2022/08/08 23:28:30 - mmengine - INFO - Epoch(train) [21][200/1879] lr: 2.0000e-02 eta: 1 day, 1:12:16 time: 0.5737 data_time: 0.0234 memory: 13723 grad_norm: 3.6592 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6303 loss: 1.6303 2022/08/08 23:28:41 - mmengine - INFO - Epoch(train) [21][220/1879] lr: 2.0000e-02 eta: 1 day, 1:12:01 time: 0.5736 data_time: 0.0241 memory: 13723 grad_norm: 3.8773 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5720 loss: 1.5720 2022/08/08 23:28:53 - mmengine - INFO - Epoch(train) [21][240/1879] lr: 2.0000e-02 eta: 1 day, 1:11:46 time: 0.5694 data_time: 0.0250 memory: 13723 grad_norm: 3.6895 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5463 loss: 1.5463 2022/08/08 23:29:04 - mmengine - INFO - Epoch(train) [21][260/1879] lr: 2.0000e-02 eta: 1 day, 1:11:31 time: 0.5698 data_time: 0.0261 memory: 13723 grad_norm: 3.8119 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7395 loss: 1.7395 2022/08/08 23:29:16 - mmengine - INFO - Epoch(train) [21][280/1879] lr: 2.0000e-02 eta: 1 day, 1:11:17 time: 0.5759 data_time: 0.0223 memory: 13723 grad_norm: 3.8622 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6194 loss: 1.6194 2022/08/08 23:29:27 - mmengine - INFO - Epoch(train) [21][300/1879] lr: 2.0000e-02 eta: 1 day, 1:11:02 time: 0.5667 data_time: 0.0250 memory: 13723 grad_norm: 3.7613 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4353 loss: 1.4353 2022/08/08 23:29:38 - mmengine - INFO - Epoch(train) [21][320/1879] lr: 2.0000e-02 eta: 1 day, 1:10:47 time: 0.5681 data_time: 0.0236 memory: 13723 grad_norm: 3.8424 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5270 loss: 1.5270 2022/08/08 23:29:50 - mmengine - INFO - Epoch(train) [21][340/1879] lr: 2.0000e-02 eta: 1 day, 1:10:33 time: 0.5769 data_time: 0.0233 memory: 13723 grad_norm: 3.8749 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.4172 loss: 1.4172 2022/08/08 23:30:02 - mmengine - INFO - Epoch(train) [21][360/1879] lr: 2.0000e-02 eta: 1 day, 1:10:20 time: 0.5980 data_time: 0.0524 memory: 13723 grad_norm: 3.8593 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6590 loss: 1.6590 2022/08/08 23:30:13 - mmengine - INFO - Epoch(train) [21][380/1879] lr: 2.0000e-02 eta: 1 day, 1:10:05 time: 0.5692 data_time: 0.0268 memory: 13723 grad_norm: 3.7761 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4616 loss: 1.4616 2022/08/08 23:30:27 - mmengine - INFO - Epoch(train) [21][400/1879] lr: 2.0000e-02 eta: 1 day, 1:10:00 time: 0.6951 data_time: 0.0277 memory: 13723 grad_norm: 3.8104 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5363 loss: 1.5363 2022/08/08 23:30:40 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 23:30:40 - mmengine - INFO - Epoch(train) [21][420/1879] lr: 2.0000e-02 eta: 1 day, 1:09:51 time: 0.6337 data_time: 0.0242 memory: 13723 grad_norm: 3.7817 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.5764 loss: 1.5764 2022/08/08 23:30:51 - mmengine - INFO - Epoch(train) [21][440/1879] lr: 2.0000e-02 eta: 1 day, 1:09:36 time: 0.5731 data_time: 0.0266 memory: 13723 grad_norm: 3.9278 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6149 loss: 1.6149 2022/08/08 23:31:03 - mmengine - INFO - Epoch(train) [21][460/1879] lr: 2.0000e-02 eta: 1 day, 1:09:21 time: 0.5731 data_time: 0.0209 memory: 13723 grad_norm: 3.8644 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4759 loss: 1.4759 2022/08/08 23:31:14 - mmengine - INFO - Epoch(train) [21][480/1879] lr: 2.0000e-02 eta: 1 day, 1:09:07 time: 0.5726 data_time: 0.0249 memory: 13723 grad_norm: 3.8356 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6151 loss: 1.6151 2022/08/08 23:31:26 - mmengine - INFO - Epoch(train) [21][500/1879] lr: 2.0000e-02 eta: 1 day, 1:08:52 time: 0.5670 data_time: 0.0253 memory: 13723 grad_norm: 3.9651 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6744 loss: 1.6744 2022/08/08 23:31:37 - mmengine - INFO - Epoch(train) [21][520/1879] lr: 2.0000e-02 eta: 1 day, 1:08:38 time: 0.5825 data_time: 0.0227 memory: 13723 grad_norm: 3.8016 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6802 loss: 1.6802 2022/08/08 23:31:49 - mmengine - INFO - Epoch(train) [21][540/1879] lr: 2.0000e-02 eta: 1 day, 1:08:23 time: 0.5685 data_time: 0.0244 memory: 13723 grad_norm: 3.7662 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6007 loss: 1.6007 2022/08/08 23:32:00 - mmengine - INFO - Epoch(train) [21][560/1879] lr: 2.0000e-02 eta: 1 day, 1:08:08 time: 0.5638 data_time: 0.0229 memory: 13723 grad_norm: 3.8749 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6523 loss: 1.6523 2022/08/08 23:32:11 - mmengine - INFO - Epoch(train) [21][580/1879] lr: 2.0000e-02 eta: 1 day, 1:07:53 time: 0.5709 data_time: 0.0284 memory: 13723 grad_norm: 3.8804 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6890 loss: 1.6890 2022/08/08 23:32:23 - mmengine - INFO - Epoch(train) [21][600/1879] lr: 2.0000e-02 eta: 1 day, 1:07:38 time: 0.5698 data_time: 0.0222 memory: 13723 grad_norm: 3.8855 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3074 loss: 1.3074 2022/08/08 23:32:34 - mmengine - INFO - Epoch(train) [21][620/1879] lr: 2.0000e-02 eta: 1 day, 1:07:24 time: 0.5751 data_time: 0.0229 memory: 13723 grad_norm: 3.7887 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5783 loss: 1.5783 2022/08/08 23:32:46 - mmengine - INFO - Epoch(train) [21][640/1879] lr: 2.0000e-02 eta: 1 day, 1:07:09 time: 0.5698 data_time: 0.0216 memory: 13723 grad_norm: 3.8550 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4821 loss: 1.4821 2022/08/08 23:32:57 - mmengine - INFO - Epoch(train) [21][660/1879] lr: 2.0000e-02 eta: 1 day, 1:06:55 time: 0.5708 data_time: 0.0239 memory: 13723 grad_norm: 3.8739 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7004 loss: 1.7004 2022/08/08 23:33:08 - mmengine - INFO - Epoch(train) [21][680/1879] lr: 2.0000e-02 eta: 1 day, 1:06:40 time: 0.5681 data_time: 0.0235 memory: 13723 grad_norm: 3.8419 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6763 loss: 1.6763 2022/08/08 23:33:20 - mmengine - INFO - Epoch(train) [21][700/1879] lr: 2.0000e-02 eta: 1 day, 1:06:25 time: 0.5732 data_time: 0.0234 memory: 13723 grad_norm: 3.8113 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4381 loss: 1.4381 2022/08/08 23:33:31 - mmengine - INFO - Epoch(train) [21][720/1879] lr: 2.0000e-02 eta: 1 day, 1:06:11 time: 0.5717 data_time: 0.0240 memory: 13723 grad_norm: 3.7978 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.4645 loss: 1.4645 2022/08/08 23:33:43 - mmengine - INFO - Epoch(train) [21][740/1879] lr: 2.0000e-02 eta: 1 day, 1:05:56 time: 0.5778 data_time: 0.0244 memory: 13723 grad_norm: 3.8200 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5683 loss: 1.5683 2022/08/08 23:33:54 - mmengine - INFO - Epoch(train) [21][760/1879] lr: 2.0000e-02 eta: 1 day, 1:05:41 time: 0.5655 data_time: 0.0222 memory: 13723 grad_norm: 3.8310 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4723 loss: 1.4723 2022/08/08 23:34:07 - mmengine - INFO - Epoch(train) [21][780/1879] lr: 2.0000e-02 eta: 1 day, 1:05:32 time: 0.6403 data_time: 0.0223 memory: 13723 grad_norm: 3.8166 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6900 loss: 1.6900 2022/08/08 23:34:18 - mmengine - INFO - Epoch(train) [21][800/1879] lr: 2.0000e-02 eta: 1 day, 1:05:17 time: 0.5619 data_time: 0.0238 memory: 13723 grad_norm: 3.8587 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5540 loss: 1.5540 2022/08/08 23:34:30 - mmengine - INFO - Epoch(train) [21][820/1879] lr: 2.0000e-02 eta: 1 day, 1:05:02 time: 0.5654 data_time: 0.0247 memory: 13723 grad_norm: 3.8580 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5753 loss: 1.5753 2022/08/08 23:34:41 - mmengine - INFO - Epoch(train) [21][840/1879] lr: 2.0000e-02 eta: 1 day, 1:04:47 time: 0.5747 data_time: 0.0246 memory: 13723 grad_norm: 3.7363 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7271 loss: 1.7271 2022/08/08 23:34:53 - mmengine - INFO - Epoch(train) [21][860/1879] lr: 2.0000e-02 eta: 1 day, 1:04:33 time: 0.5706 data_time: 0.0214 memory: 13723 grad_norm: 3.7968 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4093 loss: 1.4093 2022/08/08 23:35:04 - mmengine - INFO - Epoch(train) [21][880/1879] lr: 2.0000e-02 eta: 1 day, 1:04:18 time: 0.5761 data_time: 0.0242 memory: 13723 grad_norm: 3.8124 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6366 loss: 1.6366 2022/08/08 23:35:16 - mmengine - INFO - Epoch(train) [21][900/1879] lr: 2.0000e-02 eta: 1 day, 1:04:05 time: 0.5830 data_time: 0.0243 memory: 13723 grad_norm: 3.8265 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6263 loss: 1.6263 2022/08/08 23:35:27 - mmengine - INFO - Epoch(train) [21][920/1879] lr: 2.0000e-02 eta: 1 day, 1:03:50 time: 0.5771 data_time: 0.0237 memory: 13723 grad_norm: 3.8059 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6770 loss: 1.6770 2022/08/08 23:35:39 - mmengine - INFO - Epoch(train) [21][940/1879] lr: 2.0000e-02 eta: 1 day, 1:03:36 time: 0.5706 data_time: 0.0252 memory: 13723 grad_norm: 3.7984 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5258 loss: 1.5258 2022/08/08 23:35:50 - mmengine - INFO - Epoch(train) [21][960/1879] lr: 2.0000e-02 eta: 1 day, 1:03:21 time: 0.5687 data_time: 0.0227 memory: 13723 grad_norm: 3.8697 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5424 loss: 1.5424 2022/08/08 23:36:02 - mmengine - INFO - Epoch(train) [21][980/1879] lr: 2.0000e-02 eta: 1 day, 1:03:06 time: 0.5720 data_time: 0.0244 memory: 13723 grad_norm: 3.8567 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5205 loss: 1.5205 2022/08/08 23:36:13 - mmengine - INFO - Epoch(train) [21][1000/1879] lr: 2.0000e-02 eta: 1 day, 1:02:52 time: 0.5781 data_time: 0.0213 memory: 13723 grad_norm: 3.7721 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4569 loss: 1.4569 2022/08/08 23:36:25 - mmengine - INFO - Epoch(train) [21][1020/1879] lr: 2.0000e-02 eta: 1 day, 1:02:38 time: 0.5759 data_time: 0.0227 memory: 13723 grad_norm: 3.8835 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7655 loss: 1.7655 2022/08/08 23:36:36 - mmengine - INFO - Epoch(train) [21][1040/1879] lr: 2.0000e-02 eta: 1 day, 1:02:23 time: 0.5654 data_time: 0.0250 memory: 13723 grad_norm: 3.7938 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7203 loss: 1.7203 2022/08/08 23:36:48 - mmengine - INFO - Epoch(train) [21][1060/1879] lr: 2.0000e-02 eta: 1 day, 1:02:10 time: 0.5932 data_time: 0.0234 memory: 13723 grad_norm: 3.8235 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6624 loss: 1.6624 2022/08/08 23:36:59 - mmengine - INFO - Epoch(train) [21][1080/1879] lr: 2.0000e-02 eta: 1 day, 1:01:55 time: 0.5669 data_time: 0.0238 memory: 13723 grad_norm: 3.7613 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6267 loss: 1.6267 2022/08/08 23:37:10 - mmengine - INFO - Epoch(train) [21][1100/1879] lr: 2.0000e-02 eta: 1 day, 1:01:40 time: 0.5651 data_time: 0.0225 memory: 13723 grad_norm: 3.8458 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6391 loss: 1.6391 2022/08/08 23:37:22 - mmengine - INFO - Epoch(train) [21][1120/1879] lr: 2.0000e-02 eta: 1 day, 1:01:26 time: 0.5791 data_time: 0.0232 memory: 13723 grad_norm: 3.7873 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6751 loss: 1.6751 2022/08/08 23:37:33 - mmengine - INFO - Epoch(train) [21][1140/1879] lr: 2.0000e-02 eta: 1 day, 1:01:11 time: 0.5621 data_time: 0.0229 memory: 13723 grad_norm: 3.8125 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6020 loss: 1.6020 2022/08/08 23:37:45 - mmengine - INFO - Epoch(train) [21][1160/1879] lr: 2.0000e-02 eta: 1 day, 1:00:56 time: 0.5645 data_time: 0.0274 memory: 13723 grad_norm: 3.8355 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7354 loss: 1.7354 2022/08/08 23:37:56 - mmengine - INFO - Epoch(train) [21][1180/1879] lr: 2.0000e-02 eta: 1 day, 1:00:42 time: 0.5856 data_time: 0.0287 memory: 13723 grad_norm: 3.8743 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5472 loss: 1.5472 2022/08/08 23:38:08 - mmengine - INFO - Epoch(train) [21][1200/1879] lr: 2.0000e-02 eta: 1 day, 1:00:28 time: 0.5711 data_time: 0.0253 memory: 13723 grad_norm: 3.8607 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4607 loss: 1.4607 2022/08/08 23:38:19 - mmengine - INFO - Epoch(train) [21][1220/1879] lr: 2.0000e-02 eta: 1 day, 1:00:13 time: 0.5683 data_time: 0.0232 memory: 13723 grad_norm: 3.8251 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4096 loss: 1.4096 2022/08/08 23:38:31 - mmengine - INFO - Epoch(train) [21][1240/1879] lr: 2.0000e-02 eta: 1 day, 1:00:01 time: 0.6111 data_time: 0.0564 memory: 13723 grad_norm: 3.7991 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7032 loss: 1.7032 2022/08/08 23:38:43 - mmengine - INFO - Epoch(train) [21][1260/1879] lr: 2.0000e-02 eta: 1 day, 0:59:47 time: 0.5747 data_time: 0.0234 memory: 13723 grad_norm: 3.8025 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6389 loss: 1.6389 2022/08/08 23:38:54 - mmengine - INFO - Epoch(train) [21][1280/1879] lr: 2.0000e-02 eta: 1 day, 0:59:32 time: 0.5653 data_time: 0.0222 memory: 13723 grad_norm: 3.9250 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7231 loss: 1.7231 2022/08/08 23:39:06 - mmengine - INFO - Epoch(train) [21][1300/1879] lr: 2.0000e-02 eta: 1 day, 0:59:18 time: 0.5787 data_time: 0.0244 memory: 13723 grad_norm: 3.8670 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7114 loss: 1.7114 2022/08/08 23:39:17 - mmengine - INFO - Epoch(train) [21][1320/1879] lr: 2.0000e-02 eta: 1 day, 0:59:05 time: 0.5844 data_time: 0.0216 memory: 13723 grad_norm: 3.7861 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5203 loss: 1.5203 2022/08/08 23:39:29 - mmengine - INFO - Epoch(train) [21][1340/1879] lr: 2.0000e-02 eta: 1 day, 0:58:50 time: 0.5664 data_time: 0.0208 memory: 13723 grad_norm: 3.8153 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6235 loss: 1.6235 2022/08/08 23:39:42 - mmengine - INFO - Epoch(train) [21][1360/1879] lr: 2.0000e-02 eta: 1 day, 0:58:40 time: 0.6378 data_time: 0.0214 memory: 13723 grad_norm: 3.9055 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5816 loss: 1.5816 2022/08/08 23:39:53 - mmengine - INFO - Epoch(train) [21][1380/1879] lr: 2.0000e-02 eta: 1 day, 0:58:25 time: 0.5647 data_time: 0.0224 memory: 13723 grad_norm: 3.8523 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6374 loss: 1.6374 2022/08/08 23:40:04 - mmengine - INFO - Epoch(train) [21][1400/1879] lr: 2.0000e-02 eta: 1 day, 0:58:11 time: 0.5730 data_time: 0.0227 memory: 13723 grad_norm: 3.8164 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5074 loss: 1.5074 2022/08/08 23:40:17 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 23:40:17 - mmengine - INFO - Epoch(train) [21][1420/1879] lr: 2.0000e-02 eta: 1 day, 0:58:01 time: 0.6318 data_time: 0.0732 memory: 13723 grad_norm: 3.9031 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4866 loss: 1.4866 2022/08/08 23:40:30 - mmengine - INFO - Epoch(train) [21][1440/1879] lr: 2.0000e-02 eta: 1 day, 0:57:51 time: 0.6344 data_time: 0.0219 memory: 13723 grad_norm: 3.9299 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8251 loss: 1.8251 2022/08/08 23:40:41 - mmengine - INFO - Epoch(train) [21][1460/1879] lr: 2.0000e-02 eta: 1 day, 0:57:38 time: 0.5915 data_time: 0.0296 memory: 13723 grad_norm: 3.9302 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7954 loss: 1.7954 2022/08/08 23:40:53 - mmengine - INFO - Epoch(train) [21][1480/1879] lr: 2.0000e-02 eta: 1 day, 0:57:25 time: 0.5854 data_time: 0.0216 memory: 13723 grad_norm: 3.7550 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7090 loss: 1.7090 2022/08/08 23:41:05 - mmengine - INFO - Epoch(train) [21][1500/1879] lr: 2.0000e-02 eta: 1 day, 0:57:11 time: 0.5835 data_time: 0.0247 memory: 13723 grad_norm: 3.8497 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7527 loss: 1.7527 2022/08/08 23:41:16 - mmengine - INFO - Epoch(train) [21][1520/1879] lr: 2.0000e-02 eta: 1 day, 0:56:57 time: 0.5758 data_time: 0.0211 memory: 13723 grad_norm: 3.8529 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5036 loss: 1.5036 2022/08/08 23:41:28 - mmengine - INFO - Epoch(train) [21][1540/1879] lr: 2.0000e-02 eta: 1 day, 0:56:42 time: 0.5735 data_time: 0.0244 memory: 13723 grad_norm: 3.9125 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6511 loss: 1.6511 2022/08/08 23:41:39 - mmengine - INFO - Epoch(train) [21][1560/1879] lr: 2.0000e-02 eta: 1 day, 0:56:28 time: 0.5681 data_time: 0.0227 memory: 13723 grad_norm: 3.8262 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6654 loss: 1.6654 2022/08/08 23:41:51 - mmengine - INFO - Epoch(train) [21][1580/1879] lr: 2.0000e-02 eta: 1 day, 0:56:13 time: 0.5734 data_time: 0.0243 memory: 13723 grad_norm: 3.8826 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6488 loss: 1.6488 2022/08/08 23:42:02 - mmengine - INFO - Epoch(train) [21][1600/1879] lr: 2.0000e-02 eta: 1 day, 0:56:00 time: 0.5892 data_time: 0.0364 memory: 13723 grad_norm: 3.8817 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5252 loss: 1.5252 2022/08/08 23:42:14 - mmengine - INFO - Epoch(train) [21][1620/1879] lr: 2.0000e-02 eta: 1 day, 0:55:46 time: 0.5720 data_time: 0.0240 memory: 13723 grad_norm: 3.8809 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5929 loss: 1.5929 2022/08/08 23:42:25 - mmengine - INFO - Epoch(train) [21][1640/1879] lr: 2.0000e-02 eta: 1 day, 0:55:32 time: 0.5760 data_time: 0.0217 memory: 13723 grad_norm: 3.9010 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8097 loss: 1.8097 2022/08/08 23:42:37 - mmengine - INFO - Epoch(train) [21][1660/1879] lr: 2.0000e-02 eta: 1 day, 0:55:18 time: 0.5872 data_time: 0.0224 memory: 13723 grad_norm: 3.7565 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7398 loss: 1.7398 2022/08/08 23:42:49 - mmengine - INFO - Epoch(train) [21][1680/1879] lr: 2.0000e-02 eta: 1 day, 0:55:04 time: 0.5757 data_time: 0.0244 memory: 13723 grad_norm: 3.8194 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7977 loss: 1.7977 2022/08/08 23:43:00 - mmengine - INFO - Epoch(train) [21][1700/1879] lr: 2.0000e-02 eta: 1 day, 0:54:50 time: 0.5800 data_time: 0.0227 memory: 13723 grad_norm: 3.7922 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5263 loss: 1.5263 2022/08/08 23:43:12 - mmengine - INFO - Epoch(train) [21][1720/1879] lr: 2.0000e-02 eta: 1 day, 0:54:36 time: 0.5782 data_time: 0.0242 memory: 13723 grad_norm: 3.7830 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6007 loss: 1.6007 2022/08/08 23:43:23 - mmengine - INFO - Epoch(train) [21][1740/1879] lr: 2.0000e-02 eta: 1 day, 0:54:22 time: 0.5794 data_time: 0.0209 memory: 13723 grad_norm: 3.9310 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6467 loss: 1.6467 2022/08/08 23:43:36 - mmengine - INFO - Epoch(train) [21][1760/1879] lr: 2.0000e-02 eta: 1 day, 0:54:11 time: 0.6063 data_time: 0.0238 memory: 13723 grad_norm: 3.8072 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5456 loss: 1.5456 2022/08/08 23:43:47 - mmengine - INFO - Epoch(train) [21][1780/1879] lr: 2.0000e-02 eta: 1 day, 0:53:56 time: 0.5677 data_time: 0.0230 memory: 13723 grad_norm: 3.7745 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6405 loss: 1.6405 2022/08/08 23:43:59 - mmengine - INFO - Epoch(train) [21][1800/1879] lr: 2.0000e-02 eta: 1 day, 0:53:42 time: 0.5784 data_time: 0.0259 memory: 13723 grad_norm: 3.7816 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6731 loss: 1.6731 2022/08/08 23:44:10 - mmengine - INFO - Epoch(train) [21][1820/1879] lr: 2.0000e-02 eta: 1 day, 0:53:28 time: 0.5803 data_time: 0.0203 memory: 13723 grad_norm: 3.7770 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8335 loss: 1.8335 2022/08/08 23:44:24 - mmengine - INFO - Epoch(train) [21][1840/1879] lr: 2.0000e-02 eta: 1 day, 0:53:21 time: 0.6672 data_time: 0.1094 memory: 13723 grad_norm: 3.8360 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5707 loss: 1.5707 2022/08/08 23:44:35 - mmengine - INFO - Epoch(train) [21][1860/1879] lr: 2.0000e-02 eta: 1 day, 0:53:06 time: 0.5734 data_time: 0.0232 memory: 13723 grad_norm: 3.8879 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6618 loss: 1.6618 2022/08/08 23:44:46 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 23:44:46 - mmengine - INFO - Epoch(train) [21][1879/1879] lr: 2.0000e-02 eta: 1 day, 0:53:06 time: 0.5684 data_time: 0.0505 memory: 13723 grad_norm: 3.7675 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.5701 loss: 1.5701 2022/08/08 23:44:46 - mmengine - INFO - Saving checkpoint at 21 epochs 2022/08/08 23:45:01 - mmengine - INFO - Epoch(val) [21][20/155] eta: 0:01:28 time: 0.6585 data_time: 0.5134 memory: 1829 2022/08/08 23:45:14 - mmengine - INFO - Epoch(val) [21][40/155] eta: 0:01:14 time: 0.6482 data_time: 0.5093 memory: 1829 2022/08/08 23:45:24 - mmengine - INFO - Epoch(val) [21][60/155] eta: 0:00:46 time: 0.4888 data_time: 0.3497 memory: 1829 2022/08/08 23:45:37 - mmengine - INFO - Epoch(val) [21][80/155] eta: 0:00:47 time: 0.6274 data_time: 0.4877 memory: 1829 2022/08/08 23:45:46 - mmengine - INFO - Epoch(val) [21][100/155] eta: 0:00:25 time: 0.4590 data_time: 0.3200 memory: 1829 2022/08/08 23:45:58 - mmengine - INFO - Epoch(val) [21][120/155] eta: 0:00:21 time: 0.6269 data_time: 0.4865 memory: 1829 2022/08/08 23:46:07 - mmengine - INFO - Epoch(val) [21][140/155] eta: 0:00:06 time: 0.4140 data_time: 0.2757 memory: 1829 2022/08/08 23:46:19 - mmengine - INFO - Epoch(val) [21][155/155] acc/top1: 0.6142 acc/top5: 0.8461 acc/mean1: 0.6140 2022/08/08 23:46:19 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_21.pth is removed 2022/08/08 23:46:20 - mmengine - INFO - The best checkpoint with 0.6142 acc/top1 at 22 epoch is saved to best_acc/top1_epoch_22.pth. 2022/08/08 23:46:37 - mmengine - INFO - Epoch(train) [22][20/1879] lr: 2.0000e-02 eta: 1 day, 0:52:18 time: 0.8425 data_time: 0.2495 memory: 13723 grad_norm: 3.7527 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6692 loss: 1.6692 2022/08/08 23:46:49 - mmengine - INFO - Epoch(train) [22][40/1879] lr: 2.0000e-02 eta: 1 day, 0:52:03 time: 0.5719 data_time: 0.0216 memory: 13723 grad_norm: 3.8077 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6615 loss: 1.6615 2022/08/08 23:47:00 - mmengine - INFO - Epoch(train) [22][60/1879] lr: 2.0000e-02 eta: 1 day, 0:51:49 time: 0.5800 data_time: 0.0228 memory: 13723 grad_norm: 3.7971 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4463 loss: 1.4463 2022/08/08 23:47:12 - mmengine - INFO - Epoch(train) [22][80/1879] lr: 2.0000e-02 eta: 1 day, 0:51:35 time: 0.5767 data_time: 0.0218 memory: 13723 grad_norm: 3.6863 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4868 loss: 1.4868 2022/08/08 23:47:23 - mmengine - INFO - Epoch(train) [22][100/1879] lr: 2.0000e-02 eta: 1 day, 0:51:22 time: 0.5791 data_time: 0.0229 memory: 13723 grad_norm: 3.8045 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5941 loss: 1.5941 2022/08/08 23:47:35 - mmengine - INFO - Epoch(train) [22][120/1879] lr: 2.0000e-02 eta: 1 day, 0:51:09 time: 0.5976 data_time: 0.0184 memory: 13723 grad_norm: 3.8553 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7848 loss: 1.7848 2022/08/08 23:47:47 - mmengine - INFO - Epoch(train) [22][140/1879] lr: 2.0000e-02 eta: 1 day, 0:50:56 time: 0.5929 data_time: 0.0245 memory: 13723 grad_norm: 3.7733 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7046 loss: 1.7046 2022/08/08 23:48:00 - mmengine - INFO - Epoch(train) [22][160/1879] lr: 2.0000e-02 eta: 1 day, 0:50:47 time: 0.6426 data_time: 0.0185 memory: 13723 grad_norm: 3.8063 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6605 loss: 1.6605 2022/08/08 23:48:12 - mmengine - INFO - Epoch(train) [22][180/1879] lr: 2.0000e-02 eta: 1 day, 0:50:33 time: 0.5731 data_time: 0.0248 memory: 13723 grad_norm: 3.8473 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6066 loss: 1.6066 2022/08/08 23:48:25 - mmengine - INFO - Epoch(train) [22][200/1879] lr: 2.0000e-02 eta: 1 day, 0:50:25 time: 0.6589 data_time: 0.0224 memory: 13723 grad_norm: 3.7920 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4878 loss: 1.4878 2022/08/08 23:48:36 - mmengine - INFO - Epoch(train) [22][220/1879] lr: 2.0000e-02 eta: 1 day, 0:50:10 time: 0.5706 data_time: 0.0221 memory: 13723 grad_norm: 3.8646 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.4853 loss: 1.4853 2022/08/08 23:48:48 - mmengine - INFO - Epoch(train) [22][240/1879] lr: 2.0000e-02 eta: 1 day, 0:49:58 time: 0.5959 data_time: 0.0564 memory: 13723 grad_norm: 3.8910 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.6348 loss: 1.6348 2022/08/08 23:49:00 - mmengine - INFO - Epoch(train) [22][260/1879] lr: 2.0000e-02 eta: 1 day, 0:49:44 time: 0.5808 data_time: 0.0258 memory: 13723 grad_norm: 3.8166 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5674 loss: 1.5674 2022/08/08 23:49:11 - mmengine - INFO - Epoch(train) [22][280/1879] lr: 2.0000e-02 eta: 1 day, 0:49:30 time: 0.5803 data_time: 0.0230 memory: 13723 grad_norm: 4.0096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4525 loss: 1.4525 2022/08/08 23:49:23 - mmengine - INFO - Epoch(train) [22][300/1879] lr: 2.0000e-02 eta: 1 day, 0:49:18 time: 0.6057 data_time: 0.0220 memory: 13723 grad_norm: 3.9175 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7864 loss: 1.7864 2022/08/08 23:49:35 - mmengine - INFO - Epoch(train) [22][320/1879] lr: 2.0000e-02 eta: 1 day, 0:49:04 time: 0.5723 data_time: 0.0223 memory: 13723 grad_norm: 3.8393 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5398 loss: 1.5398 2022/08/08 23:49:46 - mmengine - INFO - Epoch(train) [22][340/1879] lr: 2.0000e-02 eta: 1 day, 0:48:50 time: 0.5705 data_time: 0.0223 memory: 13723 grad_norm: 3.8355 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6297 loss: 1.6297 2022/08/08 23:49:58 - mmengine - INFO - Epoch(train) [22][360/1879] lr: 2.0000e-02 eta: 1 day, 0:48:36 time: 0.5779 data_time: 0.0259 memory: 13723 grad_norm: 3.7695 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5032 loss: 1.5032 2022/08/08 23:50:12 - mmengine - INFO - Epoch(train) [22][380/1879] lr: 2.0000e-02 eta: 1 day, 0:48:31 time: 0.7022 data_time: 0.0196 memory: 13723 grad_norm: 3.7790 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6227 loss: 1.6227 2022/08/08 23:50:27 - mmengine - INFO - Epoch(train) [22][400/1879] lr: 2.0000e-02 eta: 1 day, 0:48:29 time: 0.7396 data_time: 0.0241 memory: 13723 grad_norm: 3.9118 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5545 loss: 1.5545 2022/08/08 23:50:38 - mmengine - INFO - Epoch(train) [22][420/1879] lr: 2.0000e-02 eta: 1 day, 0:48:15 time: 0.5798 data_time: 0.0246 memory: 13723 grad_norm: 3.8964 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6608 loss: 1.6608 2022/08/08 23:50:50 - mmengine - INFO - Epoch(train) [22][440/1879] lr: 2.0000e-02 eta: 1 day, 0:48:00 time: 0.5662 data_time: 0.0245 memory: 13723 grad_norm: 3.9176 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5289 loss: 1.5289 2022/08/08 23:51:01 - mmengine - INFO - Epoch(train) [22][460/1879] lr: 2.0000e-02 eta: 1 day, 0:47:46 time: 0.5711 data_time: 0.0260 memory: 13723 grad_norm: 3.9176 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5263 loss: 1.5263 2022/08/08 23:51:13 - mmengine - INFO - Epoch(train) [22][480/1879] lr: 2.0000e-02 eta: 1 day, 0:47:32 time: 0.5751 data_time: 0.0245 memory: 13723 grad_norm: 3.8433 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5354 loss: 1.5354 2022/08/08 23:51:24 - mmengine - INFO - Epoch(train) [22][500/1879] lr: 2.0000e-02 eta: 1 day, 0:47:19 time: 0.5975 data_time: 0.0496 memory: 13723 grad_norm: 3.7974 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6037 loss: 1.6037 2022/08/08 23:51:36 - mmengine - INFO - Epoch(train) [22][520/1879] lr: 2.0000e-02 eta: 1 day, 0:47:06 time: 0.5881 data_time: 0.0213 memory: 13723 grad_norm: 3.7967 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5955 loss: 1.5955 2022/08/08 23:51:48 - mmengine - INFO - Epoch(train) [22][540/1879] lr: 2.0000e-02 eta: 1 day, 0:46:54 time: 0.5978 data_time: 0.0216 memory: 13723 grad_norm: 3.8014 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4953 loss: 1.4953 2022/08/08 23:51:49 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/08 23:52:00 - mmengine - INFO - Epoch(train) [22][560/1879] lr: 2.0000e-02 eta: 1 day, 0:46:39 time: 0.5648 data_time: 0.0227 memory: 13723 grad_norm: 3.8830 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8613 loss: 1.8613 2022/08/08 23:52:11 - mmengine - INFO - Epoch(train) [22][580/1879] lr: 2.0000e-02 eta: 1 day, 0:46:24 time: 0.5662 data_time: 0.0245 memory: 13723 grad_norm: 3.8524 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5361 loss: 1.5361 2022/08/08 23:52:23 - mmengine - INFO - Epoch(train) [22][600/1879] lr: 2.0000e-02 eta: 1 day, 0:46:11 time: 0.5862 data_time: 0.0261 memory: 13723 grad_norm: 3.8610 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4526 loss: 1.4526 2022/08/08 23:52:34 - mmengine - INFO - Epoch(train) [22][620/1879] lr: 2.0000e-02 eta: 1 day, 0:45:56 time: 0.5753 data_time: 0.0244 memory: 13723 grad_norm: 3.8065 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7975 loss: 1.7975 2022/08/08 23:52:46 - mmengine - INFO - Epoch(train) [22][640/1879] lr: 2.0000e-02 eta: 1 day, 0:45:42 time: 0.5738 data_time: 0.0225 memory: 13723 grad_norm: 3.7870 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5651 loss: 1.5651 2022/08/08 23:52:57 - mmengine - INFO - Epoch(train) [22][660/1879] lr: 2.0000e-02 eta: 1 day, 0:45:28 time: 0.5771 data_time: 0.0243 memory: 13723 grad_norm: 3.7870 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5413 loss: 1.5413 2022/08/08 23:53:09 - mmengine - INFO - Epoch(train) [22][680/1879] lr: 2.0000e-02 eta: 1 day, 0:45:15 time: 0.5819 data_time: 0.0221 memory: 13723 grad_norm: 3.8774 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5827 loss: 1.5827 2022/08/08 23:53:20 - mmengine - INFO - Epoch(train) [22][700/1879] lr: 2.0000e-02 eta: 1 day, 0:45:01 time: 0.5845 data_time: 0.0217 memory: 13723 grad_norm: 3.9219 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5405 loss: 1.5405 2022/08/08 23:53:32 - mmengine - INFO - Epoch(train) [22][720/1879] lr: 2.0000e-02 eta: 1 day, 0:44:47 time: 0.5680 data_time: 0.0222 memory: 13723 grad_norm: 3.9101 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6585 loss: 1.6585 2022/08/08 23:53:43 - mmengine - INFO - Epoch(train) [22][740/1879] lr: 2.0000e-02 eta: 1 day, 0:44:33 time: 0.5804 data_time: 0.0286 memory: 13723 grad_norm: 3.8222 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4760 loss: 1.4760 2022/08/08 23:53:55 - mmengine - INFO - Epoch(train) [22][760/1879] lr: 2.0000e-02 eta: 1 day, 0:44:18 time: 0.5649 data_time: 0.0242 memory: 13723 grad_norm: 3.9191 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4789 loss: 1.4789 2022/08/08 23:54:06 - mmengine - INFO - Epoch(train) [22][780/1879] lr: 2.0000e-02 eta: 1 day, 0:44:04 time: 0.5711 data_time: 0.0244 memory: 13723 grad_norm: 3.7465 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6469 loss: 1.6469 2022/08/08 23:54:18 - mmengine - INFO - Epoch(train) [22][800/1879] lr: 2.0000e-02 eta: 1 day, 0:43:50 time: 0.5818 data_time: 0.0265 memory: 13723 grad_norm: 3.7817 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6039 loss: 1.6039 2022/08/08 23:54:29 - mmengine - INFO - Epoch(train) [22][820/1879] lr: 2.0000e-02 eta: 1 day, 0:43:36 time: 0.5741 data_time: 0.0244 memory: 13723 grad_norm: 3.8765 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7052 loss: 1.7052 2022/08/08 23:54:41 - mmengine - INFO - Epoch(train) [22][840/1879] lr: 2.0000e-02 eta: 1 day, 0:43:21 time: 0.5725 data_time: 0.0226 memory: 13723 grad_norm: 3.9729 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6536 loss: 1.6536 2022/08/08 23:54:52 - mmengine - INFO - Epoch(train) [22][860/1879] lr: 2.0000e-02 eta: 1 day, 0:43:07 time: 0.5725 data_time: 0.0248 memory: 13723 grad_norm: 3.8271 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7177 loss: 1.7177 2022/08/08 23:55:04 - mmengine - INFO - Epoch(train) [22][880/1879] lr: 2.0000e-02 eta: 1 day, 0:42:53 time: 0.5687 data_time: 0.0244 memory: 13723 grad_norm: 3.7482 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4886 loss: 1.4886 2022/08/08 23:55:16 - mmengine - INFO - Epoch(train) [22][900/1879] lr: 2.0000e-02 eta: 1 day, 0:42:43 time: 0.6430 data_time: 0.0244 memory: 13723 grad_norm: 3.6869 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5751 loss: 1.5751 2022/08/08 23:55:29 - mmengine - INFO - Epoch(train) [22][920/1879] lr: 2.0000e-02 eta: 1 day, 0:42:32 time: 0.6068 data_time: 0.0224 memory: 13723 grad_norm: 3.8307 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5150 loss: 1.5150 2022/08/08 23:55:42 - mmengine - INFO - Epoch(train) [22][940/1879] lr: 2.0000e-02 eta: 1 day, 0:42:25 time: 0.6740 data_time: 0.0233 memory: 13723 grad_norm: 3.8644 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7248 loss: 1.7248 2022/08/08 23:55:54 - mmengine - INFO - Epoch(train) [22][960/1879] lr: 2.0000e-02 eta: 1 day, 0:42:11 time: 0.5828 data_time: 0.0204 memory: 13723 grad_norm: 3.7449 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4925 loss: 1.4925 2022/08/08 23:56:05 - mmengine - INFO - Epoch(train) [22][980/1879] lr: 2.0000e-02 eta: 1 day, 0:41:56 time: 0.5626 data_time: 0.0238 memory: 13723 grad_norm: 3.7302 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5322 loss: 1.5322 2022/08/08 23:56:16 - mmengine - INFO - Epoch(train) [22][1000/1879] lr: 2.0000e-02 eta: 1 day, 0:41:42 time: 0.5696 data_time: 0.0246 memory: 13723 grad_norm: 3.7650 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.5940 loss: 1.5940 2022/08/08 23:56:28 - mmengine - INFO - Epoch(train) [22][1020/1879] lr: 2.0000e-02 eta: 1 day, 0:41:27 time: 0.5710 data_time: 0.0234 memory: 13723 grad_norm: 3.9021 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4317 loss: 1.4317 2022/08/08 23:56:39 - mmengine - INFO - Epoch(train) [22][1040/1879] lr: 2.0000e-02 eta: 1 day, 0:41:13 time: 0.5710 data_time: 0.0231 memory: 13723 grad_norm: 3.7499 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5282 loss: 1.5282 2022/08/08 23:56:51 - mmengine - INFO - Epoch(train) [22][1060/1879] lr: 2.0000e-02 eta: 1 day, 0:40:59 time: 0.5701 data_time: 0.0236 memory: 13723 grad_norm: 3.9479 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6248 loss: 1.6248 2022/08/08 23:57:03 - mmengine - INFO - Epoch(train) [22][1080/1879] lr: 2.0000e-02 eta: 1 day, 0:40:47 time: 0.6122 data_time: 0.0248 memory: 13723 grad_norm: 3.8823 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3929 loss: 1.3929 2022/08/08 23:57:15 - mmengine - INFO - Epoch(train) [22][1100/1879] lr: 2.0000e-02 eta: 1 day, 0:40:34 time: 0.5900 data_time: 0.0475 memory: 13723 grad_norm: 3.8265 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5666 loss: 1.5666 2022/08/08 23:57:26 - mmengine - INFO - Epoch(train) [22][1120/1879] lr: 2.0000e-02 eta: 1 day, 0:40:19 time: 0.5642 data_time: 0.0225 memory: 13723 grad_norm: 3.9822 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4988 loss: 1.4988 2022/08/08 23:57:38 - mmengine - INFO - Epoch(train) [22][1140/1879] lr: 2.0000e-02 eta: 1 day, 0:40:05 time: 0.5749 data_time: 0.0257 memory: 13723 grad_norm: 3.8866 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7264 loss: 1.7264 2022/08/08 23:57:49 - mmengine - INFO - Epoch(train) [22][1160/1879] lr: 2.0000e-02 eta: 1 day, 0:39:51 time: 0.5720 data_time: 0.0212 memory: 13723 grad_norm: 3.8166 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4266 loss: 1.4266 2022/08/08 23:58:01 - mmengine - INFO - Epoch(train) [22][1180/1879] lr: 2.0000e-02 eta: 1 day, 0:39:39 time: 0.6012 data_time: 0.0419 memory: 13723 grad_norm: 3.7785 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4856 loss: 1.4856 2022/08/08 23:58:13 - mmengine - INFO - Epoch(train) [22][1200/1879] lr: 2.0000e-02 eta: 1 day, 0:39:26 time: 0.5927 data_time: 0.0234 memory: 13723 grad_norm: 3.8791 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.6747 loss: 1.6747 2022/08/08 23:58:24 - mmengine - INFO - Epoch(train) [22][1220/1879] lr: 2.0000e-02 eta: 1 day, 0:39:11 time: 0.5687 data_time: 0.0242 memory: 13723 grad_norm: 3.8300 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6165 loss: 1.6165 2022/08/08 23:58:36 - mmengine - INFO - Epoch(train) [22][1240/1879] lr: 2.0000e-02 eta: 1 day, 0:38:57 time: 0.5772 data_time: 0.0210 memory: 13723 grad_norm: 3.7940 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7300 loss: 1.7300 2022/08/08 23:58:47 - mmengine - INFO - Epoch(train) [22][1260/1879] lr: 2.0000e-02 eta: 1 day, 0:38:43 time: 0.5723 data_time: 0.0251 memory: 13723 grad_norm: 3.8136 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5143 loss: 1.5143 2022/08/08 23:58:59 - mmengine - INFO - Epoch(train) [22][1280/1879] lr: 2.0000e-02 eta: 1 day, 0:38:29 time: 0.5703 data_time: 0.0229 memory: 13723 grad_norm: 3.8782 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5822 loss: 1.5822 2022/08/08 23:59:10 - mmengine - INFO - Epoch(train) [22][1300/1879] lr: 2.0000e-02 eta: 1 day, 0:38:14 time: 0.5656 data_time: 0.0235 memory: 13723 grad_norm: 3.9097 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5468 loss: 1.5468 2022/08/08 23:59:21 - mmengine - INFO - Epoch(train) [22][1320/1879] lr: 2.0000e-02 eta: 1 day, 0:38:00 time: 0.5715 data_time: 0.0244 memory: 13723 grad_norm: 3.7067 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3563 loss: 1.3563 2022/08/08 23:59:33 - mmengine - INFO - Epoch(train) [22][1340/1879] lr: 2.0000e-02 eta: 1 day, 0:37:46 time: 0.5754 data_time: 0.0239 memory: 13723 grad_norm: 3.8356 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4445 loss: 1.4445 2022/08/08 23:59:44 - mmengine - INFO - Epoch(train) [22][1360/1879] lr: 2.0000e-02 eta: 1 day, 0:37:31 time: 0.5690 data_time: 0.0227 memory: 13723 grad_norm: 3.9065 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5438 loss: 1.5438 2022/08/08 23:59:56 - mmengine - INFO - Epoch(train) [22][1380/1879] lr: 2.0000e-02 eta: 1 day, 0:37:17 time: 0.5723 data_time: 0.0256 memory: 13723 grad_norm: 3.8219 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5598 loss: 1.5598 2022/08/09 00:00:08 - mmengine - INFO - Epoch(train) [22][1400/1879] lr: 2.0000e-02 eta: 1 day, 0:37:07 time: 0.6284 data_time: 0.0237 memory: 13723 grad_norm: 3.8335 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2901 loss: 1.2901 2022/08/09 00:00:20 - mmengine - INFO - Epoch(train) [22][1420/1879] lr: 2.0000e-02 eta: 1 day, 0:36:53 time: 0.5725 data_time: 0.0305 memory: 13723 grad_norm: 3.9561 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6725 loss: 1.6725 2022/08/09 00:00:32 - mmengine - INFO - Epoch(train) [22][1440/1879] lr: 2.0000e-02 eta: 1 day, 0:36:39 time: 0.5863 data_time: 0.0277 memory: 13723 grad_norm: 3.7648 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6198 loss: 1.6198 2022/08/09 00:00:44 - mmengine - INFO - Epoch(train) [22][1460/1879] lr: 2.0000e-02 eta: 1 day, 0:36:29 time: 0.6209 data_time: 0.0257 memory: 13723 grad_norm: 3.8202 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3663 loss: 1.3663 2022/08/09 00:00:55 - mmengine - INFO - Epoch(train) [22][1480/1879] lr: 2.0000e-02 eta: 1 day, 0:36:14 time: 0.5654 data_time: 0.0220 memory: 13723 grad_norm: 3.8183 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4687 loss: 1.4687 2022/08/09 00:01:07 - mmengine - INFO - Epoch(train) [22][1500/1879] lr: 2.0000e-02 eta: 1 day, 0:36:00 time: 0.5818 data_time: 0.0416 memory: 13723 grad_norm: 3.8713 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6617 loss: 1.6617 2022/08/09 00:01:18 - mmengine - INFO - Epoch(train) [22][1520/1879] lr: 2.0000e-02 eta: 1 day, 0:35:45 time: 0.5644 data_time: 0.0247 memory: 13723 grad_norm: 3.8519 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5645 loss: 1.5645 2022/08/09 00:01:29 - mmengine - INFO - Epoch(train) [22][1540/1879] lr: 2.0000e-02 eta: 1 day, 0:35:31 time: 0.5622 data_time: 0.0236 memory: 13723 grad_norm: 3.8374 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6338 loss: 1.6338 2022/08/09 00:01:30 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 00:01:41 - mmengine - INFO - Epoch(train) [22][1560/1879] lr: 2.0000e-02 eta: 1 day, 0:35:16 time: 0.5644 data_time: 0.0234 memory: 13723 grad_norm: 3.8457 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5731 loss: 1.5731 2022/08/09 00:01:52 - mmengine - INFO - Epoch(train) [22][1580/1879] lr: 2.0000e-02 eta: 1 day, 0:35:02 time: 0.5837 data_time: 0.0235 memory: 13723 grad_norm: 3.8168 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4497 loss: 1.4497 2022/08/09 00:02:04 - mmengine - INFO - Epoch(train) [22][1600/1879] lr: 2.0000e-02 eta: 1 day, 0:34:48 time: 0.5694 data_time: 0.0250 memory: 13723 grad_norm: 3.7973 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6244 loss: 1.6244 2022/08/09 00:02:15 - mmengine - INFO - Epoch(train) [22][1620/1879] lr: 2.0000e-02 eta: 1 day, 0:34:33 time: 0.5697 data_time: 0.0240 memory: 13723 grad_norm: 3.7896 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4709 loss: 1.4709 2022/08/09 00:02:27 - mmengine - INFO - Epoch(train) [22][1640/1879] lr: 2.0000e-02 eta: 1 day, 0:34:19 time: 0.5693 data_time: 0.0221 memory: 13723 grad_norm: 3.8437 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5394 loss: 1.5394 2022/08/09 00:02:38 - mmengine - INFO - Epoch(train) [22][1660/1879] lr: 2.0000e-02 eta: 1 day, 0:34:04 time: 0.5660 data_time: 0.0247 memory: 13723 grad_norm: 3.7675 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6945 loss: 1.6945 2022/08/09 00:02:49 - mmengine - INFO - Epoch(train) [22][1680/1879] lr: 2.0000e-02 eta: 1 day, 0:33:50 time: 0.5673 data_time: 0.0233 memory: 13723 grad_norm: 3.8414 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4097 loss: 1.4097 2022/08/09 00:03:01 - mmengine - INFO - Epoch(train) [22][1700/1879] lr: 2.0000e-02 eta: 1 day, 0:33:36 time: 0.5749 data_time: 0.0268 memory: 13723 grad_norm: 3.8068 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6223 loss: 1.6223 2022/08/09 00:03:12 - mmengine - INFO - Epoch(train) [22][1720/1879] lr: 2.0000e-02 eta: 1 day, 0:33:21 time: 0.5687 data_time: 0.0219 memory: 13723 grad_norm: 3.8232 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3791 loss: 1.3791 2022/08/09 00:03:24 - mmengine - INFO - Epoch(train) [22][1740/1879] lr: 2.0000e-02 eta: 1 day, 0:33:07 time: 0.5645 data_time: 0.0278 memory: 13723 grad_norm: 3.8523 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6484 loss: 1.6484 2022/08/09 00:03:35 - mmengine - INFO - Epoch(train) [22][1760/1879] lr: 2.0000e-02 eta: 1 day, 0:32:53 time: 0.5762 data_time: 0.0223 memory: 13723 grad_norm: 3.6730 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6553 loss: 1.6553 2022/08/09 00:03:47 - mmengine - INFO - Epoch(train) [22][1780/1879] lr: 2.0000e-02 eta: 1 day, 0:32:39 time: 0.5742 data_time: 0.0231 memory: 13723 grad_norm: 3.7721 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6007 loss: 1.6007 2022/08/09 00:03:58 - mmengine - INFO - Epoch(train) [22][1800/1879] lr: 2.0000e-02 eta: 1 day, 0:32:24 time: 0.5670 data_time: 0.0248 memory: 13723 grad_norm: 3.7464 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3170 loss: 1.3170 2022/08/09 00:04:09 - mmengine - INFO - Epoch(train) [22][1820/1879] lr: 2.0000e-02 eta: 1 day, 0:32:09 time: 0.5672 data_time: 0.0246 memory: 13723 grad_norm: 3.7074 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5564 loss: 1.5564 2022/08/09 00:04:21 - mmengine - INFO - Epoch(train) [22][1840/1879] lr: 2.0000e-02 eta: 1 day, 0:31:55 time: 0.5682 data_time: 0.0280 memory: 13723 grad_norm: 3.9556 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6938 loss: 1.6938 2022/08/09 00:04:32 - mmengine - INFO - Epoch(train) [22][1860/1879] lr: 2.0000e-02 eta: 1 day, 0:31:41 time: 0.5715 data_time: 0.0221 memory: 13723 grad_norm: 3.7829 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5930 loss: 1.5930 2022/08/09 00:04:42 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 00:04:42 - mmengine - INFO - Epoch(train) [22][1879/1879] lr: 2.0000e-02 eta: 1 day, 0:31:41 time: 0.5357 data_time: 0.0177 memory: 13723 grad_norm: 3.9036 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.5139 loss: 1.5139 2022/08/09 00:04:56 - mmengine - INFO - Epoch(val) [22][20/155] eta: 0:01:31 time: 0.6753 data_time: 0.5338 memory: 1829 2022/08/09 00:05:09 - mmengine - INFO - Epoch(val) [22][40/155] eta: 0:01:15 time: 0.6529 data_time: 0.5139 memory: 1829 2022/08/09 00:05:22 - mmengine - INFO - Epoch(val) [22][60/155] eta: 0:01:03 time: 0.6666 data_time: 0.5262 memory: 1829 2022/08/09 00:05:33 - mmengine - INFO - Epoch(val) [22][80/155] eta: 0:00:41 time: 0.5482 data_time: 0.4069 memory: 1829 2022/08/09 00:05:45 - mmengine - INFO - Epoch(val) [22][100/155] eta: 0:00:32 time: 0.5946 data_time: 0.4563 memory: 1829 2022/08/09 00:05:56 - mmengine - INFO - Epoch(val) [22][120/155] eta: 0:00:19 time: 0.5545 data_time: 0.4151 memory: 1829 2022/08/09 00:06:11 - mmengine - INFO - Epoch(val) [22][140/155] eta: 0:00:10 time: 0.7198 data_time: 0.5833 memory: 1829 2022/08/09 00:06:19 - mmengine - INFO - Epoch(val) [22][155/155] acc/top1: 0.6038 acc/top5: 0.8302 acc/mean1: 0.6037 2022/08/09 00:06:36 - mmengine - INFO - Epoch(train) [23][20/1879] lr: 2.0000e-02 eta: 1 day, 0:30:54 time: 0.8508 data_time: 0.2166 memory: 13723 grad_norm: 3.8358 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5826 loss: 1.5826 2022/08/09 00:06:47 - mmengine - INFO - Epoch(train) [23][40/1879] lr: 2.0000e-02 eta: 1 day, 0:30:40 time: 0.5702 data_time: 0.0254 memory: 13723 grad_norm: 3.7566 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6115 loss: 1.6115 2022/08/09 00:06:59 - mmengine - INFO - Epoch(train) [23][60/1879] lr: 2.0000e-02 eta: 1 day, 0:30:26 time: 0.5793 data_time: 0.0248 memory: 13723 grad_norm: 3.8840 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5056 loss: 1.5056 2022/08/09 00:07:11 - mmengine - INFO - Epoch(train) [23][80/1879] lr: 2.0000e-02 eta: 1 day, 0:30:13 time: 0.5808 data_time: 0.0243 memory: 13723 grad_norm: 3.7707 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4940 loss: 1.4940 2022/08/09 00:07:22 - mmengine - INFO - Epoch(train) [23][100/1879] lr: 2.0000e-02 eta: 1 day, 0:29:59 time: 0.5837 data_time: 0.0221 memory: 13723 grad_norm: 3.7809 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4462 loss: 1.4462 2022/08/09 00:07:34 - mmengine - INFO - Epoch(train) [23][120/1879] lr: 2.0000e-02 eta: 1 day, 0:29:45 time: 0.5721 data_time: 0.0245 memory: 13723 grad_norm: 3.8380 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6356 loss: 1.6356 2022/08/09 00:07:45 - mmengine - INFO - Epoch(train) [23][140/1879] lr: 2.0000e-02 eta: 1 day, 0:29:31 time: 0.5707 data_time: 0.0224 memory: 13723 grad_norm: 3.7969 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6519 loss: 1.6519 2022/08/09 00:07:57 - mmengine - INFO - Epoch(train) [23][160/1879] lr: 2.0000e-02 eta: 1 day, 0:29:17 time: 0.5796 data_time: 0.0243 memory: 13723 grad_norm: 3.7524 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5135 loss: 1.5135 2022/08/09 00:08:08 - mmengine - INFO - Epoch(train) [23][180/1879] lr: 2.0000e-02 eta: 1 day, 0:29:03 time: 0.5687 data_time: 0.0245 memory: 13723 grad_norm: 3.8029 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4486 loss: 1.4486 2022/08/09 00:08:20 - mmengine - INFO - Epoch(train) [23][200/1879] lr: 2.0000e-02 eta: 1 day, 0:28:49 time: 0.5719 data_time: 0.0247 memory: 13723 grad_norm: 3.8867 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5241 loss: 1.5241 2022/08/09 00:08:31 - mmengine - INFO - Epoch(train) [23][220/1879] lr: 2.0000e-02 eta: 1 day, 0:28:35 time: 0.5713 data_time: 0.0219 memory: 13723 grad_norm: 3.9620 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.5446 loss: 1.5446 2022/08/09 00:08:42 - mmengine - INFO - Epoch(train) [23][240/1879] lr: 2.0000e-02 eta: 1 day, 0:28:21 time: 0.5734 data_time: 0.0246 memory: 13723 grad_norm: 3.7936 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5182 loss: 1.5182 2022/08/09 00:08:54 - mmengine - INFO - Epoch(train) [23][260/1879] lr: 2.0000e-02 eta: 1 day, 0:28:07 time: 0.5878 data_time: 0.0445 memory: 13723 grad_norm: 3.7463 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4055 loss: 1.4055 2022/08/09 00:09:06 - mmengine - INFO - Epoch(train) [23][280/1879] lr: 2.0000e-02 eta: 1 day, 0:27:53 time: 0.5653 data_time: 0.0225 memory: 13723 grad_norm: 3.8767 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4491 loss: 1.4491 2022/08/09 00:09:17 - mmengine - INFO - Epoch(train) [23][300/1879] lr: 2.0000e-02 eta: 1 day, 0:27:39 time: 0.5738 data_time: 0.0253 memory: 13723 grad_norm: 3.7862 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5394 loss: 1.5394 2022/08/09 00:09:29 - mmengine - INFO - Epoch(train) [23][320/1879] lr: 2.0000e-02 eta: 1 day, 0:27:25 time: 0.5819 data_time: 0.0222 memory: 13723 grad_norm: 3.7800 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5823 loss: 1.5823 2022/08/09 00:09:40 - mmengine - INFO - Epoch(train) [23][340/1879] lr: 2.0000e-02 eta: 1 day, 0:27:11 time: 0.5723 data_time: 0.0211 memory: 13723 grad_norm: 3.7686 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4566 loss: 1.4566 2022/08/09 00:09:52 - mmengine - INFO - Epoch(train) [23][360/1879] lr: 2.0000e-02 eta: 1 day, 0:26:58 time: 0.5818 data_time: 0.0264 memory: 13723 grad_norm: 3.7868 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4850 loss: 1.4850 2022/08/09 00:10:03 - mmengine - INFO - Epoch(train) [23][380/1879] lr: 2.0000e-02 eta: 1 day, 0:26:44 time: 0.5759 data_time: 0.0207 memory: 13723 grad_norm: 3.6784 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6162 loss: 1.6162 2022/08/09 00:10:15 - mmengine - INFO - Epoch(train) [23][400/1879] lr: 2.0000e-02 eta: 1 day, 0:26:30 time: 0.5802 data_time: 0.0231 memory: 13723 grad_norm: 3.8034 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.5757 loss: 1.5757 2022/08/09 00:10:28 - mmengine - INFO - Epoch(train) [23][420/1879] lr: 2.0000e-02 eta: 1 day, 0:26:23 time: 0.6649 data_time: 0.1059 memory: 13723 grad_norm: 3.7875 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4715 loss: 1.4715 2022/08/09 00:10:40 - mmengine - INFO - Epoch(train) [23][440/1879] lr: 2.0000e-02 eta: 1 day, 0:26:09 time: 0.5780 data_time: 0.0209 memory: 13723 grad_norm: 3.8115 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6448 loss: 1.6448 2022/08/09 00:10:53 - mmengine - INFO - Epoch(train) [23][460/1879] lr: 2.0000e-02 eta: 1 day, 0:26:02 time: 0.6683 data_time: 0.1163 memory: 13723 grad_norm: 3.7929 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7178 loss: 1.7178 2022/08/09 00:11:04 - mmengine - INFO - Epoch(train) [23][480/1879] lr: 2.0000e-02 eta: 1 day, 0:25:47 time: 0.5640 data_time: 0.0175 memory: 13723 grad_norm: 3.7612 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4578 loss: 1.4578 2022/08/09 00:11:16 - mmengine - INFO - Epoch(train) [23][500/1879] lr: 2.0000e-02 eta: 1 day, 0:25:33 time: 0.5697 data_time: 0.0217 memory: 13723 grad_norm: 3.9270 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5237 loss: 1.5237 2022/08/09 00:11:27 - mmengine - INFO - Epoch(train) [23][520/1879] lr: 2.0000e-02 eta: 1 day, 0:25:18 time: 0.5719 data_time: 0.0243 memory: 13723 grad_norm: 3.8734 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3942 loss: 1.3942 2022/08/09 00:11:39 - mmengine - INFO - Epoch(train) [23][540/1879] lr: 2.0000e-02 eta: 1 day, 0:25:05 time: 0.5762 data_time: 0.0218 memory: 13723 grad_norm: 3.9343 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6895 loss: 1.6895 2022/08/09 00:11:50 - mmengine - INFO - Epoch(train) [23][560/1879] lr: 2.0000e-02 eta: 1 day, 0:24:51 time: 0.5842 data_time: 0.0231 memory: 13723 grad_norm: 3.7610 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4832 loss: 1.4832 2022/08/09 00:12:02 - mmengine - INFO - Epoch(train) [23][580/1879] lr: 2.0000e-02 eta: 1 day, 0:24:38 time: 0.5784 data_time: 0.0230 memory: 13723 grad_norm: 3.8005 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5248 loss: 1.5248 2022/08/09 00:12:14 - mmengine - INFO - Epoch(train) [23][600/1879] lr: 2.0000e-02 eta: 1 day, 0:24:24 time: 0.5820 data_time: 0.0247 memory: 13723 grad_norm: 3.9120 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7089 loss: 1.7089 2022/08/09 00:12:25 - mmengine - INFO - Epoch(train) [23][620/1879] lr: 2.0000e-02 eta: 1 day, 0:24:11 time: 0.5814 data_time: 0.0208 memory: 13723 grad_norm: 3.9341 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5331 loss: 1.5331 2022/08/09 00:12:37 - mmengine - INFO - Epoch(train) [23][640/1879] lr: 2.0000e-02 eta: 1 day, 0:23:57 time: 0.5795 data_time: 0.0233 memory: 13723 grad_norm: 3.7779 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5341 loss: 1.5341 2022/08/09 00:12:48 - mmengine - INFO - Epoch(train) [23][660/1879] lr: 2.0000e-02 eta: 1 day, 0:23:43 time: 0.5716 data_time: 0.0264 memory: 13723 grad_norm: 3.9760 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4911 loss: 1.4911 2022/08/09 00:12:50 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 00:13:00 - mmengine - INFO - Epoch(train) [23][680/1879] lr: 2.0000e-02 eta: 1 day, 0:23:29 time: 0.5741 data_time: 0.0224 memory: 13723 grad_norm: 3.9024 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5159 loss: 1.5159 2022/08/09 00:13:11 - mmengine - INFO - Epoch(train) [23][700/1879] lr: 2.0000e-02 eta: 1 day, 0:23:15 time: 0.5742 data_time: 0.0243 memory: 13723 grad_norm: 3.8123 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5875 loss: 1.5875 2022/08/09 00:13:23 - mmengine - INFO - Epoch(train) [23][720/1879] lr: 2.0000e-02 eta: 1 day, 0:23:01 time: 0.5799 data_time: 0.0234 memory: 13723 grad_norm: 3.8438 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6088 loss: 1.6088 2022/08/09 00:13:35 - mmengine - INFO - Epoch(train) [23][740/1879] lr: 2.0000e-02 eta: 1 day, 0:22:49 time: 0.5912 data_time: 0.0229 memory: 13723 grad_norm: 3.8856 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4691 loss: 1.4691 2022/08/09 00:13:47 - mmengine - INFO - Epoch(train) [23][760/1879] lr: 2.0000e-02 eta: 1 day, 0:22:38 time: 0.6152 data_time: 0.0227 memory: 13723 grad_norm: 3.7834 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5748 loss: 1.5748 2022/08/09 00:13:59 - mmengine - INFO - Epoch(train) [23][780/1879] lr: 2.0000e-02 eta: 1 day, 0:22:24 time: 0.5737 data_time: 0.0202 memory: 13723 grad_norm: 3.7006 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4924 loss: 1.4924 2022/08/09 00:14:10 - mmengine - INFO - Epoch(train) [23][800/1879] lr: 2.0000e-02 eta: 1 day, 0:22:10 time: 0.5729 data_time: 0.0208 memory: 13723 grad_norm: 3.6641 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4628 loss: 1.4628 2022/08/09 00:14:22 - mmengine - INFO - Epoch(train) [23][820/1879] lr: 2.0000e-02 eta: 1 day, 0:21:56 time: 0.5762 data_time: 0.0226 memory: 13723 grad_norm: 3.8059 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6445 loss: 1.6445 2022/08/09 00:14:34 - mmengine - INFO - Epoch(train) [23][840/1879] lr: 2.0000e-02 eta: 1 day, 0:21:44 time: 0.6006 data_time: 0.0218 memory: 13723 grad_norm: 3.7060 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4350 loss: 1.4350 2022/08/09 00:14:46 - mmengine - INFO - Epoch(train) [23][860/1879] lr: 2.0000e-02 eta: 1 day, 0:21:31 time: 0.5982 data_time: 0.0216 memory: 13723 grad_norm: 3.9761 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7802 loss: 1.7802 2022/08/09 00:14:58 - mmengine - INFO - Epoch(train) [23][880/1879] lr: 2.0000e-02 eta: 1 day, 0:21:19 time: 0.6007 data_time: 0.0208 memory: 13723 grad_norm: 3.8205 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6820 loss: 1.6820 2022/08/09 00:15:09 - mmengine - INFO - Epoch(train) [23][900/1879] lr: 2.0000e-02 eta: 1 day, 0:21:06 time: 0.5824 data_time: 0.0202 memory: 13723 grad_norm: 3.7846 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6409 loss: 1.6409 2022/08/09 00:15:21 - mmengine - INFO - Epoch(train) [23][920/1879] lr: 2.0000e-02 eta: 1 day, 0:20:52 time: 0.5796 data_time: 0.0232 memory: 13723 grad_norm: 3.8229 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4744 loss: 1.4744 2022/08/09 00:15:33 - mmengine - INFO - Epoch(train) [23][940/1879] lr: 2.0000e-02 eta: 1 day, 0:20:39 time: 0.5891 data_time: 0.0232 memory: 13723 grad_norm: 3.7818 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5974 loss: 1.5974 2022/08/09 00:15:45 - mmengine - INFO - Epoch(train) [23][960/1879] lr: 2.0000e-02 eta: 1 day, 0:20:29 time: 0.6236 data_time: 0.0214 memory: 13723 grad_norm: 3.8267 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4764 loss: 1.4764 2022/08/09 00:15:57 - mmengine - INFO - Epoch(train) [23][980/1879] lr: 2.0000e-02 eta: 1 day, 0:20:15 time: 0.5798 data_time: 0.0223 memory: 13723 grad_norm: 3.8335 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4711 loss: 1.4711 2022/08/09 00:16:08 - mmengine - INFO - Epoch(train) [23][1000/1879] lr: 2.0000e-02 eta: 1 day, 0:20:02 time: 0.5836 data_time: 0.0227 memory: 13723 grad_norm: 3.7839 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4994 loss: 1.4994 2022/08/09 00:16:20 - mmengine - INFO - Epoch(train) [23][1020/1879] lr: 2.0000e-02 eta: 1 day, 0:19:48 time: 0.5796 data_time: 0.0217 memory: 13723 grad_norm: 3.8567 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4627 loss: 1.4627 2022/08/09 00:16:32 - mmengine - INFO - Epoch(train) [23][1040/1879] lr: 2.0000e-02 eta: 1 day, 0:19:35 time: 0.5817 data_time: 0.0241 memory: 13723 grad_norm: 3.8010 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5753 loss: 1.5753 2022/08/09 00:16:44 - mmengine - INFO - Epoch(train) [23][1060/1879] lr: 2.0000e-02 eta: 1 day, 0:19:25 time: 0.6384 data_time: 0.0217 memory: 13723 grad_norm: 3.8235 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5086 loss: 1.5086 2022/08/09 00:16:56 - mmengine - INFO - Epoch(train) [23][1080/1879] lr: 2.0000e-02 eta: 1 day, 0:19:11 time: 0.5606 data_time: 0.0201 memory: 13723 grad_norm: 3.7562 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6129 loss: 1.6129 2022/08/09 00:17:07 - mmengine - INFO - Epoch(train) [23][1100/1879] lr: 2.0000e-02 eta: 1 day, 0:18:57 time: 0.5740 data_time: 0.0239 memory: 13723 grad_norm: 3.7206 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5112 loss: 1.5112 2022/08/09 00:17:19 - mmengine - INFO - Epoch(train) [23][1120/1879] lr: 2.0000e-02 eta: 1 day, 0:18:43 time: 0.5713 data_time: 0.0229 memory: 13723 grad_norm: 3.8101 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3234 loss: 1.3234 2022/08/09 00:17:31 - mmengine - INFO - Epoch(train) [23][1140/1879] lr: 2.0000e-02 eta: 1 day, 0:18:30 time: 0.5988 data_time: 0.0214 memory: 13723 grad_norm: 3.7856 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4286 loss: 1.4286 2022/08/09 00:17:43 - mmengine - INFO - Epoch(train) [23][1160/1879] lr: 2.0000e-02 eta: 1 day, 0:18:19 time: 0.6160 data_time: 0.0206 memory: 13723 grad_norm: 3.9658 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5658 loss: 1.5658 2022/08/09 00:17:55 - mmengine - INFO - Epoch(train) [23][1180/1879] lr: 2.0000e-02 eta: 1 day, 0:18:06 time: 0.5853 data_time: 0.0211 memory: 13723 grad_norm: 3.7838 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7539 loss: 1.7539 2022/08/09 00:18:06 - mmengine - INFO - Epoch(train) [23][1200/1879] lr: 2.0000e-02 eta: 1 day, 0:17:53 time: 0.5874 data_time: 0.0291 memory: 13723 grad_norm: 3.7465 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5721 loss: 1.5721 2022/08/09 00:18:19 - mmengine - INFO - Epoch(train) [23][1220/1879] lr: 2.0000e-02 eta: 1 day, 0:17:42 time: 0.6232 data_time: 0.0191 memory: 13723 grad_norm: 3.8269 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6087 loss: 1.6087 2022/08/09 00:18:30 - mmengine - INFO - Epoch(train) [23][1240/1879] lr: 2.0000e-02 eta: 1 day, 0:17:29 time: 0.5798 data_time: 0.0219 memory: 13723 grad_norm: 3.8233 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5608 loss: 1.5608 2022/08/09 00:18:42 - mmengine - INFO - Epoch(train) [23][1260/1879] lr: 2.0000e-02 eta: 1 day, 0:17:15 time: 0.5675 data_time: 0.0256 memory: 13723 grad_norm: 3.8878 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5059 loss: 1.5059 2022/08/09 00:18:53 - mmengine - INFO - Epoch(train) [23][1280/1879] lr: 2.0000e-02 eta: 1 day, 0:17:01 time: 0.5857 data_time: 0.0226 memory: 13723 grad_norm: 3.7787 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5247 loss: 1.5247 2022/08/09 00:19:05 - mmengine - INFO - Epoch(train) [23][1300/1879] lr: 2.0000e-02 eta: 1 day, 0:16:48 time: 0.5839 data_time: 0.0234 memory: 13723 grad_norm: 3.9136 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5720 loss: 1.5720 2022/08/09 00:19:18 - mmengine - INFO - Epoch(train) [23][1320/1879] lr: 2.0000e-02 eta: 1 day, 0:16:40 time: 0.6568 data_time: 0.0214 memory: 13723 grad_norm: 3.8179 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4073 loss: 1.4073 2022/08/09 00:19:30 - mmengine - INFO - Epoch(train) [23][1340/1879] lr: 2.0000e-02 eta: 1 day, 0:16:26 time: 0.5745 data_time: 0.0220 memory: 13723 grad_norm: 3.7965 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3103 loss: 1.3103 2022/08/09 00:19:41 - mmengine - INFO - Epoch(train) [23][1360/1879] lr: 2.0000e-02 eta: 1 day, 0:16:12 time: 0.5674 data_time: 0.0224 memory: 13723 grad_norm: 3.9447 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8828 loss: 1.8828 2022/08/09 00:19:54 - mmengine - INFO - Epoch(train) [23][1380/1879] lr: 2.0000e-02 eta: 1 day, 0:16:03 time: 0.6480 data_time: 0.0203 memory: 13723 grad_norm: 3.8789 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5102 loss: 1.5102 2022/08/09 00:20:06 - mmengine - INFO - Epoch(train) [23][1400/1879] lr: 2.0000e-02 eta: 1 day, 0:15:49 time: 0.5703 data_time: 0.0236 memory: 13723 grad_norm: 3.8289 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6291 loss: 1.6291 2022/08/09 00:20:20 - mmengine - INFO - Epoch(train) [23][1420/1879] lr: 2.0000e-02 eta: 1 day, 0:15:46 time: 0.7342 data_time: 0.0262 memory: 13723 grad_norm: 3.7734 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3789 loss: 1.3789 2022/08/09 00:20:34 - mmengine - INFO - Epoch(train) [23][1440/1879] lr: 2.0000e-02 eta: 1 day, 0:15:40 time: 0.7013 data_time: 0.0176 memory: 13723 grad_norm: 3.9139 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4483 loss: 1.4483 2022/08/09 00:20:46 - mmengine - INFO - Epoch(train) [23][1460/1879] lr: 2.0000e-02 eta: 1 day, 0:15:26 time: 0.5663 data_time: 0.0220 memory: 13723 grad_norm: 3.7821 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5215 loss: 1.5215 2022/08/09 00:20:57 - mmengine - INFO - Epoch(train) [23][1480/1879] lr: 2.0000e-02 eta: 1 day, 0:15:11 time: 0.5641 data_time: 0.0234 memory: 13723 grad_norm: 3.9999 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6428 loss: 1.6428 2022/08/09 00:21:09 - mmengine - INFO - Epoch(train) [23][1500/1879] lr: 2.0000e-02 eta: 1 day, 0:14:58 time: 0.5815 data_time: 0.0226 memory: 13723 grad_norm: 3.8833 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4314 loss: 1.4314 2022/08/09 00:21:20 - mmengine - INFO - Epoch(train) [23][1520/1879] lr: 2.0000e-02 eta: 1 day, 0:14:45 time: 0.5970 data_time: 0.0226 memory: 13723 grad_norm: 3.8556 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5000 loss: 1.5000 2022/08/09 00:21:32 - mmengine - INFO - Epoch(train) [23][1540/1879] lr: 2.0000e-02 eta: 1 day, 0:14:32 time: 0.5798 data_time: 0.0220 memory: 13723 grad_norm: 3.8425 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4384 loss: 1.4384 2022/08/09 00:21:44 - mmengine - INFO - Epoch(train) [23][1560/1879] lr: 2.0000e-02 eta: 1 day, 0:14:19 time: 0.5958 data_time: 0.0490 memory: 13723 grad_norm: 3.8522 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7700 loss: 1.7700 2022/08/09 00:21:56 - mmengine - INFO - Epoch(train) [23][1580/1879] lr: 2.0000e-02 eta: 1 day, 0:14:09 time: 0.6180 data_time: 0.0198 memory: 13723 grad_norm: 3.8569 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7085 loss: 1.7085 2022/08/09 00:22:08 - mmengine - INFO - Epoch(train) [23][1600/1879] lr: 2.0000e-02 eta: 1 day, 0:13:55 time: 0.5731 data_time: 0.0244 memory: 13723 grad_norm: 3.8561 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5260 loss: 1.5260 2022/08/09 00:22:19 - mmengine - INFO - Epoch(train) [23][1620/1879] lr: 2.0000e-02 eta: 1 day, 0:13:41 time: 0.5802 data_time: 0.0212 memory: 13723 grad_norm: 3.8979 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7164 loss: 1.7164 2022/08/09 00:22:32 - mmengine - INFO - Epoch(train) [23][1640/1879] lr: 2.0000e-02 eta: 1 day, 0:13:30 time: 0.6144 data_time: 0.0211 memory: 13723 grad_norm: 3.7624 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5002 loss: 1.5002 2022/08/09 00:22:43 - mmengine - INFO - Epoch(train) [23][1660/1879] lr: 2.0000e-02 eta: 1 day, 0:13:16 time: 0.5707 data_time: 0.0239 memory: 13723 grad_norm: 3.7018 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6700 loss: 1.6700 2022/08/09 00:22:44 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 00:22:55 - mmengine - INFO - Epoch(train) [23][1680/1879] lr: 2.0000e-02 eta: 1 day, 0:13:02 time: 0.5764 data_time: 0.0219 memory: 13723 grad_norm: 3.8886 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7040 loss: 1.7040 2022/08/09 00:23:08 - mmengine - INFO - Epoch(train) [23][1700/1879] lr: 2.0000e-02 eta: 1 day, 0:12:55 time: 0.6804 data_time: 0.0208 memory: 13723 grad_norm: 3.8886 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7384 loss: 1.7384 2022/08/09 00:23:20 - mmengine - INFO - Epoch(train) [23][1720/1879] lr: 2.0000e-02 eta: 1 day, 0:12:41 time: 0.5642 data_time: 0.0204 memory: 13723 grad_norm: 3.9020 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5952 loss: 1.5952 2022/08/09 00:23:31 - mmengine - INFO - Epoch(train) [23][1740/1879] lr: 2.0000e-02 eta: 1 day, 0:12:26 time: 0.5690 data_time: 0.0215 memory: 13723 grad_norm: 3.7925 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6091 loss: 1.6091 2022/08/09 00:23:42 - mmengine - INFO - Epoch(train) [23][1760/1879] lr: 2.0000e-02 eta: 1 day, 0:12:13 time: 0.5735 data_time: 0.0250 memory: 13723 grad_norm: 3.8438 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4747 loss: 1.4747 2022/08/09 00:23:54 - mmengine - INFO - Epoch(train) [23][1780/1879] lr: 2.0000e-02 eta: 1 day, 0:11:59 time: 0.5733 data_time: 0.0216 memory: 13723 grad_norm: 3.7635 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4265 loss: 1.4265 2022/08/09 00:24:05 - mmengine - INFO - Epoch(train) [23][1800/1879] lr: 2.0000e-02 eta: 1 day, 0:11:45 time: 0.5715 data_time: 0.0241 memory: 13723 grad_norm: 3.8393 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4344 loss: 1.4344 2022/08/09 00:24:17 - mmengine - INFO - Epoch(train) [23][1820/1879] lr: 2.0000e-02 eta: 1 day, 0:11:30 time: 0.5690 data_time: 0.0227 memory: 13723 grad_norm: 3.7914 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5478 loss: 1.5478 2022/08/09 00:24:28 - mmengine - INFO - Epoch(train) [23][1840/1879] lr: 2.0000e-02 eta: 1 day, 0:11:17 time: 0.5795 data_time: 0.0244 memory: 13723 grad_norm: 3.9221 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5655 loss: 1.5655 2022/08/09 00:24:40 - mmengine - INFO - Epoch(train) [23][1860/1879] lr: 2.0000e-02 eta: 1 day, 0:11:03 time: 0.5732 data_time: 0.0203 memory: 13723 grad_norm: 3.9884 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8847 loss: 1.8847 2022/08/09 00:24:50 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 00:24:50 - mmengine - INFO - Epoch(train) [23][1879/1879] lr: 2.0000e-02 eta: 1 day, 0:11:03 time: 0.5359 data_time: 0.0167 memory: 13723 grad_norm: 3.9042 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.5452 loss: 1.5452 2022/08/09 00:25:09 - mmengine - INFO - Epoch(val) [23][20/155] eta: 0:02:07 time: 0.9462 data_time: 0.8061 memory: 1829 2022/08/09 00:25:18 - mmengine - INFO - Epoch(val) [23][40/155] eta: 0:00:51 time: 0.4486 data_time: 0.3100 memory: 1829 2022/08/09 00:25:31 - mmengine - INFO - Epoch(val) [23][60/155] eta: 0:01:01 time: 0.6440 data_time: 0.5048 memory: 1829 2022/08/09 00:25:41 - mmengine - INFO - Epoch(val) [23][80/155] eta: 0:00:39 time: 0.5309 data_time: 0.3919 memory: 1829 2022/08/09 00:25:53 - mmengine - INFO - Epoch(val) [23][100/155] eta: 0:00:31 time: 0.5817 data_time: 0.4413 memory: 1829 2022/08/09 00:26:05 - mmengine - INFO - Epoch(val) [23][120/155] eta: 0:00:21 time: 0.6026 data_time: 0.4613 memory: 1829 2022/08/09 00:26:16 - mmengine - INFO - Epoch(val) [23][140/155] eta: 0:00:08 time: 0.5559 data_time: 0.4192 memory: 1829 2022/08/09 00:26:24 - mmengine - INFO - Epoch(val) [23][155/155] acc/top1: 0.6077 acc/top5: 0.8368 acc/mean1: 0.6077 2022/08/09 00:26:42 - mmengine - INFO - Epoch(train) [24][20/1879] lr: 2.0000e-02 eta: 1 day, 0:10:20 time: 0.8879 data_time: 0.2124 memory: 13723 grad_norm: 3.8053 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6909 loss: 1.6909 2022/08/09 00:26:55 - mmengine - INFO - Epoch(train) [24][40/1879] lr: 2.0000e-02 eta: 1 day, 0:10:12 time: 0.6600 data_time: 0.0198 memory: 13723 grad_norm: 3.7174 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6286 loss: 1.6286 2022/08/09 00:27:07 - mmengine - INFO - Epoch(train) [24][60/1879] lr: 2.0000e-02 eta: 1 day, 0:09:59 time: 0.5851 data_time: 0.0229 memory: 13723 grad_norm: 3.7750 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.4108 loss: 1.4108 2022/08/09 00:27:18 - mmengine - INFO - Epoch(train) [24][80/1879] lr: 2.0000e-02 eta: 1 day, 0:09:45 time: 0.5762 data_time: 0.0221 memory: 13723 grad_norm: 3.8878 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5936 loss: 1.5936 2022/08/09 00:27:30 - mmengine - INFO - Epoch(train) [24][100/1879] lr: 2.0000e-02 eta: 1 day, 0:09:32 time: 0.5759 data_time: 0.0258 memory: 13723 grad_norm: 3.8675 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.3260 loss: 1.3260 2022/08/09 00:27:41 - mmengine - INFO - Epoch(train) [24][120/1879] lr: 2.0000e-02 eta: 1 day, 0:09:18 time: 0.5719 data_time: 0.0244 memory: 13723 grad_norm: 3.7760 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5922 loss: 1.5922 2022/08/09 00:27:55 - mmengine - INFO - Epoch(train) [24][140/1879] lr: 2.0000e-02 eta: 1 day, 0:09:12 time: 0.6926 data_time: 0.0226 memory: 13723 grad_norm: 3.9171 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4588 loss: 1.4588 2022/08/09 00:28:06 - mmengine - INFO - Epoch(train) [24][160/1879] lr: 2.0000e-02 eta: 1 day, 0:08:58 time: 0.5714 data_time: 0.0253 memory: 13723 grad_norm: 3.7705 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4179 loss: 1.4179 2022/08/09 00:28:18 - mmengine - INFO - Epoch(train) [24][180/1879] lr: 2.0000e-02 eta: 1 day, 0:08:44 time: 0.5796 data_time: 0.0221 memory: 13723 grad_norm: 3.9266 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6339 loss: 1.6339 2022/08/09 00:28:30 - mmengine - INFO - Epoch(train) [24][200/1879] lr: 2.0000e-02 eta: 1 day, 0:08:31 time: 0.5818 data_time: 0.0234 memory: 13723 grad_norm: 3.8343 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4294 loss: 1.4294 2022/08/09 00:28:41 - mmengine - INFO - Epoch(train) [24][220/1879] lr: 2.0000e-02 eta: 1 day, 0:08:18 time: 0.5928 data_time: 0.0201 memory: 13723 grad_norm: 3.8606 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4198 loss: 1.4198 2022/08/09 00:28:53 - mmengine - INFO - Epoch(train) [24][240/1879] lr: 2.0000e-02 eta: 1 day, 0:08:05 time: 0.5833 data_time: 0.0259 memory: 13723 grad_norm: 3.7958 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4884 loss: 1.4884 2022/08/09 00:29:05 - mmengine - INFO - Epoch(train) [24][260/1879] lr: 2.0000e-02 eta: 1 day, 0:07:51 time: 0.5757 data_time: 0.0197 memory: 13723 grad_norm: 3.8756 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6509 loss: 1.6509 2022/08/09 00:29:18 - mmengine - INFO - Epoch(train) [24][280/1879] lr: 2.0000e-02 eta: 1 day, 0:07:42 time: 0.6479 data_time: 0.0953 memory: 13723 grad_norm: 3.7755 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5457 loss: 1.5457 2022/08/09 00:29:29 - mmengine - INFO - Epoch(train) [24][300/1879] lr: 2.0000e-02 eta: 1 day, 0:07:28 time: 0.5658 data_time: 0.0216 memory: 13723 grad_norm: 3.8144 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5935 loss: 1.5935 2022/08/09 00:29:40 - mmengine - INFO - Epoch(train) [24][320/1879] lr: 2.0000e-02 eta: 1 day, 0:07:14 time: 0.5711 data_time: 0.0225 memory: 13723 grad_norm: 3.8314 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4626 loss: 1.4626 2022/08/09 00:29:52 - mmengine - INFO - Epoch(train) [24][340/1879] lr: 2.0000e-02 eta: 1 day, 0:07:01 time: 0.5955 data_time: 0.0451 memory: 13723 grad_norm: 3.7207 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5627 loss: 1.5627 2022/08/09 00:30:04 - mmengine - INFO - Epoch(train) [24][360/1879] lr: 2.0000e-02 eta: 1 day, 0:06:47 time: 0.5750 data_time: 0.0238 memory: 13723 grad_norm: 3.8753 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4962 loss: 1.4962 2022/08/09 00:30:18 - mmengine - INFO - Epoch(train) [24][380/1879] lr: 2.0000e-02 eta: 1 day, 0:06:41 time: 0.6874 data_time: 0.0471 memory: 13723 grad_norm: 3.9747 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5772 loss: 1.5772 2022/08/09 00:30:31 - mmengine - INFO - Epoch(train) [24][400/1879] lr: 2.0000e-02 eta: 1 day, 0:06:34 time: 0.6706 data_time: 0.0210 memory: 13723 grad_norm: 3.8790 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4870 loss: 1.4870 2022/08/09 00:30:42 - mmengine - INFO - Epoch(train) [24][420/1879] lr: 2.0000e-02 eta: 1 day, 0:06:20 time: 0.5736 data_time: 0.0219 memory: 13723 grad_norm: 3.9045 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4717 loss: 1.4717 2022/08/09 00:30:55 - mmengine - INFO - Epoch(train) [24][440/1879] lr: 2.0000e-02 eta: 1 day, 0:06:09 time: 0.6171 data_time: 0.0204 memory: 13723 grad_norm: 3.7395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5352 loss: 1.5352 2022/08/09 00:31:07 - mmengine - INFO - Epoch(train) [24][460/1879] lr: 2.0000e-02 eta: 1 day, 0:05:55 time: 0.5734 data_time: 0.0229 memory: 13723 grad_norm: 3.8040 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4556 loss: 1.4556 2022/08/09 00:31:18 - mmengine - INFO - Epoch(train) [24][480/1879] lr: 2.0000e-02 eta: 1 day, 0:05:41 time: 0.5791 data_time: 0.0419 memory: 13723 grad_norm: 3.7898 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5982 loss: 1.5982 2022/08/09 00:31:29 - mmengine - INFO - Epoch(train) [24][500/1879] lr: 2.0000e-02 eta: 1 day, 0:05:27 time: 0.5625 data_time: 0.0221 memory: 13723 grad_norm: 3.7895 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3945 loss: 1.3945 2022/08/09 00:31:41 - mmengine - INFO - Epoch(train) [24][520/1879] lr: 2.0000e-02 eta: 1 day, 0:05:13 time: 0.5778 data_time: 0.0249 memory: 13723 grad_norm: 3.8751 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5214 loss: 1.5214 2022/08/09 00:31:52 - mmengine - INFO - Epoch(train) [24][540/1879] lr: 2.0000e-02 eta: 1 day, 0:05:00 time: 0.5785 data_time: 0.0218 memory: 13723 grad_norm: 3.7662 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6496 loss: 1.6496 2022/08/09 00:32:04 - mmengine - INFO - Epoch(train) [24][560/1879] lr: 2.0000e-02 eta: 1 day, 0:04:46 time: 0.5810 data_time: 0.0235 memory: 13723 grad_norm: 3.8973 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4885 loss: 1.4885 2022/08/09 00:32:16 - mmengine - INFO - Epoch(train) [24][580/1879] lr: 2.0000e-02 eta: 1 day, 0:04:33 time: 0.5847 data_time: 0.0218 memory: 13723 grad_norm: 3.7659 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4913 loss: 1.4913 2022/08/09 00:32:27 - mmengine - INFO - Epoch(train) [24][600/1879] lr: 2.0000e-02 eta: 1 day, 0:04:19 time: 0.5763 data_time: 0.0230 memory: 13723 grad_norm: 3.7969 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5362 loss: 1.5362 2022/08/09 00:32:39 - mmengine - INFO - Epoch(train) [24][620/1879] lr: 2.0000e-02 eta: 1 day, 0:04:06 time: 0.5733 data_time: 0.0232 memory: 13723 grad_norm: 3.7533 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5400 loss: 1.5400 2022/08/09 00:32:51 - mmengine - INFO - Epoch(train) [24][640/1879] lr: 2.0000e-02 eta: 1 day, 0:03:54 time: 0.6094 data_time: 0.0214 memory: 13723 grad_norm: 3.8049 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6011 loss: 1.6011 2022/08/09 00:33:02 - mmengine - INFO - Epoch(train) [24][660/1879] lr: 2.0000e-02 eta: 1 day, 0:03:40 time: 0.5692 data_time: 0.0241 memory: 13723 grad_norm: 3.7917 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3923 loss: 1.3923 2022/08/09 00:33:14 - mmengine - INFO - Epoch(train) [24][680/1879] lr: 2.0000e-02 eta: 1 day, 0:03:26 time: 0.5714 data_time: 0.0244 memory: 13723 grad_norm: 3.8109 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5400 loss: 1.5400 2022/08/09 00:33:25 - mmengine - INFO - Epoch(train) [24][700/1879] lr: 2.0000e-02 eta: 1 day, 0:03:13 time: 0.5884 data_time: 0.0265 memory: 13723 grad_norm: 3.9793 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4995 loss: 1.4995 2022/08/09 00:33:37 - mmengine - INFO - Epoch(train) [24][720/1879] lr: 2.0000e-02 eta: 1 day, 0:02:59 time: 0.5737 data_time: 0.0254 memory: 13723 grad_norm: 3.9094 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4957 loss: 1.4957 2022/08/09 00:33:48 - mmengine - INFO - Epoch(train) [24][740/1879] lr: 2.0000e-02 eta: 1 day, 0:02:45 time: 0.5694 data_time: 0.0220 memory: 13723 grad_norm: 3.9091 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6469 loss: 1.6469 2022/08/09 00:34:00 - mmengine - INFO - Epoch(train) [24][760/1879] lr: 2.0000e-02 eta: 1 day, 0:02:32 time: 0.5796 data_time: 0.0240 memory: 13723 grad_norm: 3.9133 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9016 loss: 1.9016 2022/08/09 00:34:12 - mmengine - INFO - Epoch(train) [24][780/1879] lr: 2.0000e-02 eta: 1 day, 0:02:19 time: 0.5861 data_time: 0.0208 memory: 13723 grad_norm: 3.8303 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5001 loss: 1.5001 2022/08/09 00:34:14 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 00:34:24 - mmengine - INFO - Epoch(train) [24][800/1879] lr: 2.0000e-02 eta: 1 day, 0:02:09 time: 0.6383 data_time: 0.0217 memory: 13723 grad_norm: 3.8715 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5907 loss: 1.5907 2022/08/09 00:34:36 - mmengine - INFO - Epoch(train) [24][820/1879] lr: 2.0000e-02 eta: 1 day, 0:01:56 time: 0.5905 data_time: 0.0204 memory: 13723 grad_norm: 3.8724 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5371 loss: 1.5371 2022/08/09 00:34:48 - mmengine - INFO - Epoch(train) [24][840/1879] lr: 2.0000e-02 eta: 1 day, 0:01:42 time: 0.5739 data_time: 0.0242 memory: 13723 grad_norm: 3.7754 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4107 loss: 1.4107 2022/08/09 00:34:59 - mmengine - INFO - Epoch(train) [24][860/1879] lr: 2.0000e-02 eta: 1 day, 0:01:29 time: 0.5790 data_time: 0.0222 memory: 13723 grad_norm: 3.8803 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6997 loss: 1.6997 2022/08/09 00:35:14 - mmengine - INFO - Epoch(train) [24][880/1879] lr: 2.0000e-02 eta: 1 day, 0:01:27 time: 0.7594 data_time: 0.0228 memory: 13723 grad_norm: 3.8559 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6154 loss: 1.6154 2022/08/09 00:35:26 - mmengine - INFO - Epoch(train) [24][900/1879] lr: 2.0000e-02 eta: 1 day, 0:01:13 time: 0.5687 data_time: 0.0209 memory: 13723 grad_norm: 3.9481 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7057 loss: 1.7057 2022/08/09 00:35:38 - mmengine - INFO - Epoch(train) [24][920/1879] lr: 2.0000e-02 eta: 1 day, 0:01:00 time: 0.5899 data_time: 0.0209 memory: 13723 grad_norm: 3.9196 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.7256 loss: 1.7256 2022/08/09 00:35:50 - mmengine - INFO - Epoch(train) [24][940/1879] lr: 2.0000e-02 eta: 1 day, 0:00:50 time: 0.6358 data_time: 0.0209 memory: 13723 grad_norm: 3.7857 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5685 loss: 1.5685 2022/08/09 00:36:04 - mmengine - INFO - Epoch(train) [24][960/1879] lr: 2.0000e-02 eta: 1 day, 0:00:43 time: 0.6714 data_time: 0.0202 memory: 13723 grad_norm: 3.9426 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6760 loss: 1.6760 2022/08/09 00:36:16 - mmengine - INFO - Epoch(train) [24][980/1879] lr: 2.0000e-02 eta: 1 day, 0:00:31 time: 0.5940 data_time: 0.0200 memory: 13723 grad_norm: 3.7994 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3455 loss: 1.3455 2022/08/09 00:36:28 - mmengine - INFO - Epoch(train) [24][1000/1879] lr: 2.0000e-02 eta: 1 day, 0:00:20 time: 0.6276 data_time: 0.0220 memory: 13723 grad_norm: 3.8470 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4030 loss: 1.4030 2022/08/09 00:36:40 - mmengine - INFO - Epoch(train) [24][1020/1879] lr: 2.0000e-02 eta: 1 day, 0:00:06 time: 0.5723 data_time: 0.0225 memory: 13723 grad_norm: 3.8408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6308 loss: 1.6308 2022/08/09 00:36:53 - mmengine - INFO - Epoch(train) [24][1040/1879] lr: 2.0000e-02 eta: 23:59:57 time: 0.6501 data_time: 0.0209 memory: 13723 grad_norm: 3.8163 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6158 loss: 1.6158 2022/08/09 00:37:04 - mmengine - INFO - Epoch(train) [24][1060/1879] lr: 2.0000e-02 eta: 23:59:44 time: 0.5778 data_time: 0.0214 memory: 13723 grad_norm: 3.8740 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5875 loss: 1.5875 2022/08/09 00:37:18 - mmengine - INFO - Epoch(train) [24][1080/1879] lr: 2.0000e-02 eta: 23:59:37 time: 0.6799 data_time: 0.0224 memory: 13723 grad_norm: 3.9667 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3820 loss: 1.3820 2022/08/09 00:37:30 - mmengine - INFO - Epoch(train) [24][1100/1879] lr: 2.0000e-02 eta: 23:59:24 time: 0.5919 data_time: 0.0188 memory: 13723 grad_norm: 3.9104 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4365 loss: 1.4365 2022/08/09 00:37:41 - mmengine - INFO - Epoch(train) [24][1120/1879] lr: 2.0000e-02 eta: 23:59:10 time: 0.5720 data_time: 0.0234 memory: 13723 grad_norm: 3.9965 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5503 loss: 1.5503 2022/08/09 00:37:56 - mmengine - INFO - Epoch(train) [24][1140/1879] lr: 2.0000e-02 eta: 23:59:07 time: 0.7308 data_time: 0.0203 memory: 13723 grad_norm: 3.8499 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4731 loss: 1.4731 2022/08/09 00:38:08 - mmengine - INFO - Epoch(train) [24][1160/1879] lr: 2.0000e-02 eta: 23:58:54 time: 0.5866 data_time: 0.0267 memory: 13723 grad_norm: 3.9142 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6987 loss: 1.6987 2022/08/09 00:38:19 - mmengine - INFO - Epoch(train) [24][1180/1879] lr: 2.0000e-02 eta: 23:58:41 time: 0.5870 data_time: 0.0211 memory: 13723 grad_norm: 3.7738 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5459 loss: 1.5459 2022/08/09 00:38:31 - mmengine - INFO - Epoch(train) [24][1200/1879] lr: 2.0000e-02 eta: 23:58:27 time: 0.5717 data_time: 0.0223 memory: 13723 grad_norm: 3.7227 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3841 loss: 1.3841 2022/08/09 00:38:42 - mmengine - INFO - Epoch(train) [24][1220/1879] lr: 2.0000e-02 eta: 23:58:13 time: 0.5792 data_time: 0.0233 memory: 13723 grad_norm: 3.8230 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6480 loss: 1.6480 2022/08/09 00:38:54 - mmengine - INFO - Epoch(train) [24][1240/1879] lr: 2.0000e-02 eta: 23:58:01 time: 0.5909 data_time: 0.0252 memory: 13723 grad_norm: 3.8967 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4511 loss: 1.4511 2022/08/09 00:39:06 - mmengine - INFO - Epoch(train) [24][1260/1879] lr: 2.0000e-02 eta: 23:57:49 time: 0.6083 data_time: 0.0188 memory: 13723 grad_norm: 3.8105 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5686 loss: 1.5686 2022/08/09 00:39:18 - mmengine - INFO - Epoch(train) [24][1280/1879] lr: 2.0000e-02 eta: 23:57:37 time: 0.5994 data_time: 0.0342 memory: 13723 grad_norm: 3.7848 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6798 loss: 1.6798 2022/08/09 00:39:30 - mmengine - INFO - Epoch(train) [24][1300/1879] lr: 2.0000e-02 eta: 23:57:23 time: 0.5706 data_time: 0.0224 memory: 13723 grad_norm: 3.8578 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4844 loss: 1.4844 2022/08/09 00:39:41 - mmengine - INFO - Epoch(train) [24][1320/1879] lr: 2.0000e-02 eta: 23:57:09 time: 0.5738 data_time: 0.0238 memory: 13723 grad_norm: 3.8882 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6456 loss: 1.6456 2022/08/09 00:39:53 - mmengine - INFO - Epoch(train) [24][1340/1879] lr: 2.0000e-02 eta: 23:56:56 time: 0.5908 data_time: 0.0211 memory: 13723 grad_norm: 3.9764 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6639 loss: 1.6639 2022/08/09 00:40:04 - mmengine - INFO - Epoch(train) [24][1360/1879] lr: 2.0000e-02 eta: 23:56:42 time: 0.5740 data_time: 0.0218 memory: 13723 grad_norm: 3.8190 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5452 loss: 1.5452 2022/08/09 00:40:17 - mmengine - INFO - Epoch(train) [24][1380/1879] lr: 2.0000e-02 eta: 23:56:32 time: 0.6223 data_time: 0.0690 memory: 13723 grad_norm: 3.9188 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7884 loss: 1.7884 2022/08/09 00:40:29 - mmengine - INFO - Epoch(train) [24][1400/1879] lr: 2.0000e-02 eta: 23:56:19 time: 0.5984 data_time: 0.0226 memory: 13723 grad_norm: 3.8037 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4456 loss: 1.4456 2022/08/09 00:40:40 - mmengine - INFO - Epoch(train) [24][1420/1879] lr: 2.0000e-02 eta: 23:56:06 time: 0.5762 data_time: 0.0235 memory: 13723 grad_norm: 3.7515 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5328 loss: 1.5328 2022/08/09 00:40:52 - mmengine - INFO - Epoch(train) [24][1440/1879] lr: 2.0000e-02 eta: 23:55:52 time: 0.5772 data_time: 0.0239 memory: 13723 grad_norm: 3.7717 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4797 loss: 1.4797 2022/08/09 00:41:03 - mmengine - INFO - Epoch(train) [24][1460/1879] lr: 2.0000e-02 eta: 23:55:38 time: 0.5721 data_time: 0.0245 memory: 13723 grad_norm: 3.8333 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4187 loss: 1.4187 2022/08/09 00:41:15 - mmengine - INFO - Epoch(train) [24][1480/1879] lr: 2.0000e-02 eta: 23:55:25 time: 0.5784 data_time: 0.0257 memory: 13723 grad_norm: 3.9367 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7364 loss: 1.7364 2022/08/09 00:41:27 - mmengine - INFO - Epoch(train) [24][1500/1879] lr: 2.0000e-02 eta: 23:55:12 time: 0.5864 data_time: 0.0345 memory: 13723 grad_norm: 3.8198 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5111 loss: 1.5111 2022/08/09 00:41:38 - mmengine - INFO - Epoch(train) [24][1520/1879] lr: 2.0000e-02 eta: 23:54:58 time: 0.5733 data_time: 0.0232 memory: 13723 grad_norm: 3.7123 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3988 loss: 1.3988 2022/08/09 00:41:50 - mmengine - INFO - Epoch(train) [24][1540/1879] lr: 2.0000e-02 eta: 23:54:44 time: 0.5735 data_time: 0.0210 memory: 13723 grad_norm: 3.8638 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5883 loss: 1.5883 2022/08/09 00:42:01 - mmengine - INFO - Epoch(train) [24][1560/1879] lr: 2.0000e-02 eta: 23:54:31 time: 0.5846 data_time: 0.0290 memory: 13723 grad_norm: 3.8679 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4441 loss: 1.4441 2022/08/09 00:42:13 - mmengine - INFO - Epoch(train) [24][1580/1879] lr: 2.0000e-02 eta: 23:54:17 time: 0.5753 data_time: 0.0216 memory: 13723 grad_norm: 3.9178 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5558 loss: 1.5558 2022/08/09 00:42:24 - mmengine - INFO - Epoch(train) [24][1600/1879] lr: 2.0000e-02 eta: 23:54:04 time: 0.5769 data_time: 0.0215 memory: 13723 grad_norm: 3.8674 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6348 loss: 1.6348 2022/08/09 00:42:36 - mmengine - INFO - Epoch(train) [24][1620/1879] lr: 2.0000e-02 eta: 23:53:50 time: 0.5729 data_time: 0.0228 memory: 13723 grad_norm: 3.8038 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5146 loss: 1.5146 2022/08/09 00:42:48 - mmengine - INFO - Epoch(train) [24][1640/1879] lr: 2.0000e-02 eta: 23:53:37 time: 0.5908 data_time: 0.0466 memory: 13723 grad_norm: 3.8190 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5044 loss: 1.5044 2022/08/09 00:42:59 - mmengine - INFO - Epoch(train) [24][1660/1879] lr: 2.0000e-02 eta: 23:53:23 time: 0.5732 data_time: 0.0228 memory: 13723 grad_norm: 3.7809 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6304 loss: 1.6304 2022/08/09 00:43:11 - mmengine - INFO - Epoch(train) [24][1680/1879] lr: 2.0000e-02 eta: 23:53:09 time: 0.5670 data_time: 0.0237 memory: 13723 grad_norm: 3.8587 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4453 loss: 1.4453 2022/08/09 00:43:22 - mmengine - INFO - Epoch(train) [24][1700/1879] lr: 2.0000e-02 eta: 23:52:55 time: 0.5633 data_time: 0.0258 memory: 13723 grad_norm: 3.7838 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5674 loss: 1.5674 2022/08/09 00:43:33 - mmengine - INFO - Epoch(train) [24][1720/1879] lr: 2.0000e-02 eta: 23:52:41 time: 0.5694 data_time: 0.0237 memory: 13723 grad_norm: 3.8941 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6428 loss: 1.6428 2022/08/09 00:43:45 - mmengine - INFO - Epoch(train) [24][1740/1879] lr: 2.0000e-02 eta: 23:52:27 time: 0.5729 data_time: 0.0225 memory: 13723 grad_norm: 3.8832 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6114 loss: 1.6114 2022/08/09 00:43:56 - mmengine - INFO - Epoch(train) [24][1760/1879] lr: 2.0000e-02 eta: 23:52:13 time: 0.5710 data_time: 0.0243 memory: 13723 grad_norm: 3.8255 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6214 loss: 1.6214 2022/08/09 00:44:08 - mmengine - INFO - Epoch(train) [24][1780/1879] lr: 2.0000e-02 eta: 23:51:59 time: 0.5685 data_time: 0.0243 memory: 13723 grad_norm: 3.8916 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.5414 loss: 1.5414 2022/08/09 00:44:09 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 00:44:19 - mmengine - INFO - Epoch(train) [24][1800/1879] lr: 2.0000e-02 eta: 23:51:45 time: 0.5673 data_time: 0.0235 memory: 13723 grad_norm: 3.8699 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7005 loss: 1.7005 2022/08/09 00:44:30 - mmengine - INFO - Epoch(train) [24][1820/1879] lr: 2.0000e-02 eta: 23:51:30 time: 0.5652 data_time: 0.0229 memory: 13723 grad_norm: 3.8568 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3654 loss: 1.3654 2022/08/09 00:44:41 - mmengine - INFO - Epoch(train) [24][1840/1879] lr: 2.0000e-02 eta: 23:51:16 time: 0.5650 data_time: 0.0222 memory: 13723 grad_norm: 3.8587 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5012 loss: 1.5012 2022/08/09 00:44:53 - mmengine - INFO - Epoch(train) [24][1860/1879] lr: 2.0000e-02 eta: 23:51:03 time: 0.5779 data_time: 0.0239 memory: 13723 grad_norm: 3.8354 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7321 loss: 1.7321 2022/08/09 00:45:03 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 00:45:03 - mmengine - INFO - Epoch(train) [24][1879/1879] lr: 2.0000e-02 eta: 23:51:03 time: 0.5329 data_time: 0.0168 memory: 13723 grad_norm: 3.9545 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.5472 loss: 1.5472 2022/08/09 00:45:03 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/08/09 00:45:22 - mmengine - INFO - Epoch(val) [24][20/155] eta: 0:01:52 time: 0.8349 data_time: 0.6952 memory: 1829 2022/08/09 00:45:31 - mmengine - INFO - Epoch(val) [24][40/155] eta: 0:00:53 time: 0.4657 data_time: 0.3198 memory: 1829 2022/08/09 00:45:43 - mmengine - INFO - Epoch(val) [24][60/155] eta: 0:00:57 time: 0.6003 data_time: 0.4614 memory: 1829 2022/08/09 00:45:53 - mmengine - INFO - Epoch(val) [24][80/155] eta: 0:00:37 time: 0.4960 data_time: 0.3536 memory: 1829 2022/08/09 00:46:06 - mmengine - INFO - Epoch(val) [24][100/155] eta: 0:00:35 time: 0.6515 data_time: 0.5125 memory: 1829 2022/08/09 00:46:18 - mmengine - INFO - Epoch(val) [24][120/155] eta: 0:00:19 time: 0.5677 data_time: 0.4280 memory: 1829 2022/08/09 00:46:27 - mmengine - INFO - Epoch(val) [24][140/155] eta: 0:00:07 time: 0.4779 data_time: 0.3392 memory: 1829 2022/08/09 00:46:34 - mmengine - INFO - Epoch(val) [24][155/155] acc/top1: 0.6224 acc/top5: 0.8440 acc/mean1: 0.6224 2022/08/09 00:46:34 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_22.pth is removed 2022/08/09 00:46:36 - mmengine - INFO - The best checkpoint with 0.6224 acc/top1 at 25 epoch is saved to best_acc/top1_epoch_25.pth. 2022/08/09 00:46:52 - mmengine - INFO - Epoch(train) [25][20/1879] lr: 2.0000e-02 eta: 23:50:17 time: 0.8189 data_time: 0.2095 memory: 13723 grad_norm: 3.8220 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.5676 loss: 1.5676 2022/08/09 00:47:04 - mmengine - INFO - Epoch(train) [25][40/1879] lr: 2.0000e-02 eta: 23:50:03 time: 0.5711 data_time: 0.0232 memory: 13723 grad_norm: 3.9021 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5923 loss: 1.5923 2022/08/09 00:47:16 - mmengine - INFO - Epoch(train) [25][60/1879] lr: 2.0000e-02 eta: 23:49:53 time: 0.6297 data_time: 0.0230 memory: 13723 grad_norm: 3.8620 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6370 loss: 1.6370 2022/08/09 00:47:28 - mmengine - INFO - Epoch(train) [25][80/1879] lr: 2.0000e-02 eta: 23:49:39 time: 0.5725 data_time: 0.0191 memory: 13723 grad_norm: 3.7540 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4776 loss: 1.4776 2022/08/09 00:47:39 - mmengine - INFO - Epoch(train) [25][100/1879] lr: 2.0000e-02 eta: 23:49:24 time: 0.5641 data_time: 0.0231 memory: 13723 grad_norm: 3.9960 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3276 loss: 1.3276 2022/08/09 00:47:50 - mmengine - INFO - Epoch(train) [25][120/1879] lr: 2.0000e-02 eta: 23:49:11 time: 0.5803 data_time: 0.0249 memory: 13723 grad_norm: 3.8934 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4818 loss: 1.4818 2022/08/09 00:48:03 - mmengine - INFO - Epoch(train) [25][140/1879] lr: 2.0000e-02 eta: 23:49:00 time: 0.6078 data_time: 0.0228 memory: 13723 grad_norm: 3.7280 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4743 loss: 1.4743 2022/08/09 00:48:14 - mmengine - INFO - Epoch(train) [25][160/1879] lr: 2.0000e-02 eta: 23:48:46 time: 0.5691 data_time: 0.0232 memory: 13723 grad_norm: 3.8033 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4097 loss: 1.4097 2022/08/09 00:48:25 - mmengine - INFO - Epoch(train) [25][180/1879] lr: 2.0000e-02 eta: 23:48:31 time: 0.5662 data_time: 0.0253 memory: 13723 grad_norm: 3.7324 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4295 loss: 1.4295 2022/08/09 00:48:37 - mmengine - INFO - Epoch(train) [25][200/1879] lr: 2.0000e-02 eta: 23:48:17 time: 0.5713 data_time: 0.0244 memory: 13723 grad_norm: 3.8386 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3904 loss: 1.3904 2022/08/09 00:48:48 - mmengine - INFO - Epoch(train) [25][220/1879] lr: 2.0000e-02 eta: 23:48:04 time: 0.5776 data_time: 0.0232 memory: 13723 grad_norm: 3.8498 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5662 loss: 1.5662 2022/08/09 00:49:00 - mmengine - INFO - Epoch(train) [25][240/1879] lr: 2.0000e-02 eta: 23:47:50 time: 0.5778 data_time: 0.0261 memory: 13723 grad_norm: 3.7818 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4204 loss: 1.4204 2022/08/09 00:49:12 - mmengine - INFO - Epoch(train) [25][260/1879] lr: 2.0000e-02 eta: 23:47:37 time: 0.5857 data_time: 0.0215 memory: 13723 grad_norm: 3.7684 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4133 loss: 1.4133 2022/08/09 00:49:26 - mmengine - INFO - Epoch(train) [25][280/1879] lr: 2.0000e-02 eta: 23:47:32 time: 0.7025 data_time: 0.0213 memory: 13723 grad_norm: 3.8125 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3873 loss: 1.3873 2022/08/09 00:49:37 - mmengine - INFO - Epoch(train) [25][300/1879] lr: 2.0000e-02 eta: 23:47:18 time: 0.5731 data_time: 0.0196 memory: 13723 grad_norm: 3.8156 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6055 loss: 1.6055 2022/08/09 00:49:49 - mmengine - INFO - Epoch(train) [25][320/1879] lr: 2.0000e-02 eta: 23:47:04 time: 0.5685 data_time: 0.0237 memory: 13723 grad_norm: 3.7934 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6553 loss: 1.6553 2022/08/09 00:50:01 - mmengine - INFO - Epoch(train) [25][340/1879] lr: 2.0000e-02 eta: 23:46:53 time: 0.6194 data_time: 0.0210 memory: 13723 grad_norm: 3.7963 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7156 loss: 1.7156 2022/08/09 00:50:12 - mmengine - INFO - Epoch(train) [25][360/1879] lr: 2.0000e-02 eta: 23:46:39 time: 0.5746 data_time: 0.0265 memory: 13723 grad_norm: 3.7198 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5223 loss: 1.5223 2022/08/09 00:50:28 - mmengine - INFO - Epoch(train) [25][380/1879] lr: 2.0000e-02 eta: 23:46:39 time: 0.7788 data_time: 0.0204 memory: 13723 grad_norm: 3.8787 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3299 loss: 1.3299 2022/08/09 00:50:39 - mmengine - INFO - Epoch(train) [25][400/1879] lr: 2.0000e-02 eta: 23:46:25 time: 0.5728 data_time: 0.0232 memory: 13723 grad_norm: 3.7258 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4596 loss: 1.4596 2022/08/09 00:50:51 - mmengine - INFO - Epoch(train) [25][420/1879] lr: 2.0000e-02 eta: 23:46:11 time: 0.5749 data_time: 0.0243 memory: 13723 grad_norm: 3.7855 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3512 loss: 1.3512 2022/08/09 00:51:03 - mmengine - INFO - Epoch(train) [25][440/1879] lr: 2.0000e-02 eta: 23:45:58 time: 0.5784 data_time: 0.0235 memory: 13723 grad_norm: 3.8441 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4632 loss: 1.4632 2022/08/09 00:51:14 - mmengine - INFO - Epoch(train) [25][460/1879] lr: 2.0000e-02 eta: 23:45:44 time: 0.5793 data_time: 0.0221 memory: 13723 grad_norm: 3.9231 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.4557 loss: 1.4557 2022/08/09 00:51:26 - mmengine - INFO - Epoch(train) [25][480/1879] lr: 2.0000e-02 eta: 23:45:31 time: 0.5811 data_time: 0.0224 memory: 13723 grad_norm: 3.7759 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4770 loss: 1.4770 2022/08/09 00:51:38 - mmengine - INFO - Epoch(train) [25][500/1879] lr: 2.0000e-02 eta: 23:45:19 time: 0.5935 data_time: 0.0240 memory: 13723 grad_norm: 3.8065 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3954 loss: 1.3954 2022/08/09 00:51:49 - mmengine - INFO - Epoch(train) [25][520/1879] lr: 2.0000e-02 eta: 23:45:05 time: 0.5741 data_time: 0.0258 memory: 13723 grad_norm: 3.9163 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6166 loss: 1.6166 2022/08/09 00:52:01 - mmengine - INFO - Epoch(train) [25][540/1879] lr: 2.0000e-02 eta: 23:44:51 time: 0.5702 data_time: 0.0204 memory: 13723 grad_norm: 3.8996 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6493 loss: 1.6493 2022/08/09 00:52:12 - mmengine - INFO - Epoch(train) [25][560/1879] lr: 2.0000e-02 eta: 23:44:37 time: 0.5740 data_time: 0.0245 memory: 13723 grad_norm: 3.8956 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4482 loss: 1.4482 2022/08/09 00:52:24 - mmengine - INFO - Epoch(train) [25][580/1879] lr: 2.0000e-02 eta: 23:44:24 time: 0.5755 data_time: 0.0224 memory: 13723 grad_norm: 3.8052 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6172 loss: 1.6172 2022/08/09 00:52:36 - mmengine - INFO - Epoch(train) [25][600/1879] lr: 2.0000e-02 eta: 23:44:11 time: 0.5974 data_time: 0.0236 memory: 13723 grad_norm: 3.8783 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6217 loss: 1.6217 2022/08/09 00:52:47 - mmengine - INFO - Epoch(train) [25][620/1879] lr: 2.0000e-02 eta: 23:43:58 time: 0.5748 data_time: 0.0217 memory: 13723 grad_norm: 3.8176 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6636 loss: 1.6636 2022/08/09 00:52:59 - mmengine - INFO - Epoch(train) [25][640/1879] lr: 2.0000e-02 eta: 23:43:44 time: 0.5783 data_time: 0.0295 memory: 13723 grad_norm: 3.9159 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5027 loss: 1.5027 2022/08/09 00:53:10 - mmengine - INFO - Epoch(train) [25][660/1879] lr: 2.0000e-02 eta: 23:43:31 time: 0.5793 data_time: 0.0211 memory: 13723 grad_norm: 3.9028 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.6103 loss: 1.6103 2022/08/09 00:53:22 - mmengine - INFO - Epoch(train) [25][680/1879] lr: 2.0000e-02 eta: 23:43:17 time: 0.5688 data_time: 0.0236 memory: 13723 grad_norm: 3.8249 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4139 loss: 1.4139 2022/08/09 00:53:33 - mmengine - INFO - Epoch(train) [25][700/1879] lr: 2.0000e-02 eta: 23:43:04 time: 0.5792 data_time: 0.0226 memory: 13723 grad_norm: 3.8827 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4066 loss: 1.4066 2022/08/09 00:53:45 - mmengine - INFO - Epoch(train) [25][720/1879] lr: 2.0000e-02 eta: 23:42:50 time: 0.5681 data_time: 0.0232 memory: 13723 grad_norm: 3.8896 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4752 loss: 1.4752 2022/08/09 00:53:56 - mmengine - INFO - Epoch(train) [25][740/1879] lr: 2.0000e-02 eta: 23:42:36 time: 0.5802 data_time: 0.0255 memory: 13723 grad_norm: 3.9361 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5340 loss: 1.5340 2022/08/09 00:54:08 - mmengine - INFO - Epoch(train) [25][760/1879] lr: 2.0000e-02 eta: 23:42:23 time: 0.5767 data_time: 0.0226 memory: 13723 grad_norm: 3.7398 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3956 loss: 1.3956 2022/08/09 00:54:19 - mmengine - INFO - Epoch(train) [25][780/1879] lr: 2.0000e-02 eta: 23:42:09 time: 0.5737 data_time: 0.0226 memory: 13723 grad_norm: 3.8432 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4521 loss: 1.4521 2022/08/09 00:54:31 - mmengine - INFO - Epoch(train) [25][800/1879] lr: 2.0000e-02 eta: 23:41:56 time: 0.5756 data_time: 0.0230 memory: 13723 grad_norm: 3.7569 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3998 loss: 1.3998 2022/08/09 00:54:43 - mmengine - INFO - Epoch(train) [25][820/1879] lr: 2.0000e-02 eta: 23:41:44 time: 0.6115 data_time: 0.0228 memory: 13723 grad_norm: 3.8667 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4109 loss: 1.4109 2022/08/09 00:54:54 - mmengine - INFO - Epoch(train) [25][840/1879] lr: 2.0000e-02 eta: 23:41:31 time: 0.5776 data_time: 0.0259 memory: 13723 grad_norm: 3.8768 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4977 loss: 1.4977 2022/08/09 00:55:07 - mmengine - INFO - Epoch(train) [25][860/1879] lr: 2.0000e-02 eta: 23:41:19 time: 0.6000 data_time: 0.0495 memory: 13723 grad_norm: 3.8652 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6079 loss: 1.6079 2022/08/09 00:55:20 - mmengine - INFO - Epoch(train) [25][880/1879] lr: 2.0000e-02 eta: 23:41:10 time: 0.6620 data_time: 0.0879 memory: 13723 grad_norm: 3.9078 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6658 loss: 1.6658 2022/08/09 00:55:32 - mmengine - INFO - Epoch(train) [25][900/1879] lr: 2.0000e-02 eta: 23:40:59 time: 0.6097 data_time: 0.0264 memory: 13723 grad_norm: 3.8964 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5759 loss: 1.5759 2022/08/09 00:55:34 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 00:55:43 - mmengine - INFO - Epoch(train) [25][920/1879] lr: 2.0000e-02 eta: 23:40:45 time: 0.5729 data_time: 0.0217 memory: 13723 grad_norm: 3.7971 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4525 loss: 1.4525 2022/08/09 00:55:55 - mmengine - INFO - Epoch(train) [25][940/1879] lr: 2.0000e-02 eta: 23:40:32 time: 0.5782 data_time: 0.0245 memory: 13723 grad_norm: 3.9325 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6535 loss: 1.6535 2022/08/09 00:56:06 - mmengine - INFO - Epoch(train) [25][960/1879] lr: 2.0000e-02 eta: 23:40:18 time: 0.5653 data_time: 0.0232 memory: 13723 grad_norm: 3.8376 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4681 loss: 1.4681 2022/08/09 00:56:18 - mmengine - INFO - Epoch(train) [25][980/1879] lr: 2.0000e-02 eta: 23:40:03 time: 0.5662 data_time: 0.0231 memory: 13723 grad_norm: 3.8321 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3960 loss: 1.3960 2022/08/09 00:56:29 - mmengine - INFO - Epoch(train) [25][1000/1879] lr: 2.0000e-02 eta: 23:39:50 time: 0.5703 data_time: 0.0253 memory: 13723 grad_norm: 3.8470 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4469 loss: 1.4469 2022/08/09 00:56:41 - mmengine - INFO - Epoch(train) [25][1020/1879] lr: 2.0000e-02 eta: 23:39:36 time: 0.5756 data_time: 0.0230 memory: 13723 grad_norm: 3.8224 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6062 loss: 1.6062 2022/08/09 00:56:52 - mmengine - INFO - Epoch(train) [25][1040/1879] lr: 2.0000e-02 eta: 23:39:22 time: 0.5669 data_time: 0.0241 memory: 13723 grad_norm: 3.9171 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5231 loss: 1.5231 2022/08/09 00:57:03 - mmengine - INFO - Epoch(train) [25][1060/1879] lr: 2.0000e-02 eta: 23:39:08 time: 0.5735 data_time: 0.0219 memory: 13723 grad_norm: 3.7711 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7073 loss: 1.7073 2022/08/09 00:57:16 - mmengine - INFO - Epoch(train) [25][1080/1879] lr: 2.0000e-02 eta: 23:38:57 time: 0.6179 data_time: 0.0223 memory: 13723 grad_norm: 3.8676 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5380 loss: 1.5380 2022/08/09 00:57:27 - mmengine - INFO - Epoch(train) [25][1100/1879] lr: 2.0000e-02 eta: 23:38:43 time: 0.5690 data_time: 0.0238 memory: 13723 grad_norm: 3.8264 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7147 loss: 1.7147 2022/08/09 00:57:39 - mmengine - INFO - Epoch(train) [25][1120/1879] lr: 2.0000e-02 eta: 23:38:30 time: 0.5753 data_time: 0.0225 memory: 13723 grad_norm: 3.8112 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4010 loss: 1.4010 2022/08/09 00:57:51 - mmengine - INFO - Epoch(train) [25][1140/1879] lr: 2.0000e-02 eta: 23:38:17 time: 0.5942 data_time: 0.0222 memory: 13723 grad_norm: 3.8215 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3130 loss: 1.3130 2022/08/09 00:58:02 - mmengine - INFO - Epoch(train) [25][1160/1879] lr: 2.0000e-02 eta: 23:38:04 time: 0.5761 data_time: 0.0227 memory: 13723 grad_norm: 3.8328 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7277 loss: 1.7277 2022/08/09 00:58:14 - mmengine - INFO - Epoch(train) [25][1180/1879] lr: 2.0000e-02 eta: 23:37:50 time: 0.5768 data_time: 0.0226 memory: 13723 grad_norm: 3.8558 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3952 loss: 1.3952 2022/08/09 00:58:26 - mmengine - INFO - Epoch(train) [25][1200/1879] lr: 2.0000e-02 eta: 23:37:38 time: 0.5974 data_time: 0.0407 memory: 13723 grad_norm: 3.8313 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6678 loss: 1.6678 2022/08/09 00:58:37 - mmengine - INFO - Epoch(train) [25][1220/1879] lr: 2.0000e-02 eta: 23:37:24 time: 0.5654 data_time: 0.0244 memory: 13723 grad_norm: 3.9754 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4805 loss: 1.4805 2022/08/09 00:58:48 - mmengine - INFO - Epoch(train) [25][1240/1879] lr: 2.0000e-02 eta: 23:37:10 time: 0.5766 data_time: 0.0258 memory: 13723 grad_norm: 3.7951 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6231 loss: 1.6231 2022/08/09 00:59:00 - mmengine - INFO - Epoch(train) [25][1260/1879] lr: 2.0000e-02 eta: 23:36:57 time: 0.5746 data_time: 0.0252 memory: 13723 grad_norm: 3.9428 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3900 loss: 1.3900 2022/08/09 00:59:12 - mmengine - INFO - Epoch(train) [25][1280/1879] lr: 2.0000e-02 eta: 23:36:43 time: 0.5789 data_time: 0.0218 memory: 13723 grad_norm: 3.7748 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5259 loss: 1.5259 2022/08/09 00:59:23 - mmengine - INFO - Epoch(train) [25][1300/1879] lr: 2.0000e-02 eta: 23:36:30 time: 0.5738 data_time: 0.0240 memory: 13723 grad_norm: 3.7796 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5391 loss: 1.5391 2022/08/09 00:59:34 - mmengine - INFO - Epoch(train) [25][1320/1879] lr: 2.0000e-02 eta: 23:36:16 time: 0.5695 data_time: 0.0246 memory: 13723 grad_norm: 3.9019 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6028 loss: 1.6028 2022/08/09 00:59:46 - mmengine - INFO - Epoch(train) [25][1340/1879] lr: 2.0000e-02 eta: 23:36:04 time: 0.6020 data_time: 0.0227 memory: 13723 grad_norm: 3.8353 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4733 loss: 1.4733 2022/08/09 00:59:58 - mmengine - INFO - Epoch(train) [25][1360/1879] lr: 2.0000e-02 eta: 23:35:50 time: 0.5752 data_time: 0.0232 memory: 13723 grad_norm: 3.8249 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5909 loss: 1.5909 2022/08/09 01:00:11 - mmengine - INFO - Epoch(train) [25][1380/1879] lr: 2.0000e-02 eta: 23:35:42 time: 0.6611 data_time: 0.0202 memory: 13723 grad_norm: 3.7666 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4692 loss: 1.4692 2022/08/09 01:00:26 - mmengine - INFO - Epoch(train) [25][1400/1879] lr: 2.0000e-02 eta: 23:35:38 time: 0.7229 data_time: 0.1211 memory: 13723 grad_norm: 3.8881 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5559 loss: 1.5559 2022/08/09 01:00:37 - mmengine - INFO - Epoch(train) [25][1420/1879] lr: 2.0000e-02 eta: 23:35:24 time: 0.5751 data_time: 0.0208 memory: 13723 grad_norm: 3.8503 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4677 loss: 1.4677 2022/08/09 01:00:49 - mmengine - INFO - Epoch(train) [25][1440/1879] lr: 2.0000e-02 eta: 23:35:11 time: 0.5799 data_time: 0.0265 memory: 13723 grad_norm: 3.8652 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.3441 loss: 1.3441 2022/08/09 01:01:01 - mmengine - INFO - Epoch(train) [25][1460/1879] lr: 2.0000e-02 eta: 23:34:58 time: 0.5887 data_time: 0.0445 memory: 13723 grad_norm: 3.8893 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3560 loss: 1.3560 2022/08/09 01:01:12 - mmengine - INFO - Epoch(train) [25][1480/1879] lr: 2.0000e-02 eta: 23:34:44 time: 0.5656 data_time: 0.0239 memory: 13723 grad_norm: 3.8560 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5504 loss: 1.5504 2022/08/09 01:01:23 - mmengine - INFO - Epoch(train) [25][1500/1879] lr: 2.0000e-02 eta: 23:34:30 time: 0.5705 data_time: 0.0232 memory: 13723 grad_norm: 3.8349 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5902 loss: 1.5902 2022/08/09 01:01:35 - mmengine - INFO - Epoch(train) [25][1520/1879] lr: 2.0000e-02 eta: 23:34:16 time: 0.5748 data_time: 0.0233 memory: 13723 grad_norm: 3.8640 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4768 loss: 1.4768 2022/08/09 01:01:47 - mmengine - INFO - Epoch(train) [25][1540/1879] lr: 2.0000e-02 eta: 23:34:04 time: 0.5902 data_time: 0.0216 memory: 13723 grad_norm: 3.8086 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5153 loss: 1.5153 2022/08/09 01:01:58 - mmengine - INFO - Epoch(train) [25][1560/1879] lr: 2.0000e-02 eta: 23:33:50 time: 0.5733 data_time: 0.0222 memory: 13723 grad_norm: 3.8411 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4876 loss: 1.4876 2022/08/09 01:02:10 - mmengine - INFO - Epoch(train) [25][1580/1879] lr: 2.0000e-02 eta: 23:33:39 time: 0.6091 data_time: 0.0233 memory: 13723 grad_norm: 3.9346 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7072 loss: 1.7072 2022/08/09 01:02:22 - mmengine - INFO - Epoch(train) [25][1600/1879] lr: 2.0000e-02 eta: 23:33:25 time: 0.5774 data_time: 0.0261 memory: 13723 grad_norm: 3.8365 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5139 loss: 1.5139 2022/08/09 01:02:33 - mmengine - INFO - Epoch(train) [25][1620/1879] lr: 2.0000e-02 eta: 23:33:12 time: 0.5784 data_time: 0.0194 memory: 13723 grad_norm: 3.8627 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4656 loss: 1.4656 2022/08/09 01:02:46 - mmengine - INFO - Epoch(train) [25][1640/1879] lr: 2.0000e-02 eta: 23:33:01 time: 0.6122 data_time: 0.0238 memory: 13723 grad_norm: 3.8735 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5128 loss: 1.5128 2022/08/09 01:02:57 - mmengine - INFO - Epoch(train) [25][1660/1879] lr: 2.0000e-02 eta: 23:32:47 time: 0.5744 data_time: 0.0181 memory: 13723 grad_norm: 3.8960 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7473 loss: 1.7473 2022/08/09 01:03:09 - mmengine - INFO - Epoch(train) [25][1680/1879] lr: 2.0000e-02 eta: 23:32:34 time: 0.5807 data_time: 0.0233 memory: 13723 grad_norm: 3.8142 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4698 loss: 1.4698 2022/08/09 01:03:20 - mmengine - INFO - Epoch(train) [25][1700/1879] lr: 2.0000e-02 eta: 23:32:20 time: 0.5742 data_time: 0.0223 memory: 13723 grad_norm: 3.9066 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5734 loss: 1.5734 2022/08/09 01:03:32 - mmengine - INFO - Epoch(train) [25][1720/1879] lr: 2.0000e-02 eta: 23:32:08 time: 0.6007 data_time: 0.0225 memory: 13723 grad_norm: 3.8232 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.4969 loss: 1.4969 2022/08/09 01:03:44 - mmengine - INFO - Epoch(train) [25][1740/1879] lr: 2.0000e-02 eta: 23:31:55 time: 0.5796 data_time: 0.0207 memory: 13723 grad_norm: 3.7505 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4554 loss: 1.4554 2022/08/09 01:03:55 - mmengine - INFO - Epoch(train) [25][1760/1879] lr: 2.0000e-02 eta: 23:31:41 time: 0.5710 data_time: 0.0239 memory: 13723 grad_norm: 3.8555 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5387 loss: 1.5387 2022/08/09 01:04:08 - mmengine - INFO - Epoch(train) [25][1780/1879] lr: 2.0000e-02 eta: 23:31:30 time: 0.6184 data_time: 0.0239 memory: 13723 grad_norm: 3.7879 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3568 loss: 1.3568 2022/08/09 01:04:19 - mmengine - INFO - Epoch(train) [25][1800/1879] lr: 2.0000e-02 eta: 23:31:16 time: 0.5691 data_time: 0.0227 memory: 13723 grad_norm: 3.8385 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5678 loss: 1.5678 2022/08/09 01:04:31 - mmengine - INFO - Epoch(train) [25][1820/1879] lr: 2.0000e-02 eta: 23:31:02 time: 0.5702 data_time: 0.0218 memory: 13723 grad_norm: 3.9143 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5141 loss: 1.5141 2022/08/09 01:04:42 - mmengine - INFO - Epoch(train) [25][1840/1879] lr: 2.0000e-02 eta: 23:30:48 time: 0.5678 data_time: 0.0244 memory: 13723 grad_norm: 3.8106 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6316 loss: 1.6316 2022/08/09 01:04:53 - mmengine - INFO - Epoch(train) [25][1860/1879] lr: 2.0000e-02 eta: 23:30:34 time: 0.5662 data_time: 0.0213 memory: 13723 grad_norm: 3.7383 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4269 loss: 1.4269 2022/08/09 01:05:03 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 01:05:03 - mmengine - INFO - Epoch(train) [25][1879/1879] lr: 2.0000e-02 eta: 23:30:34 time: 0.5356 data_time: 0.0174 memory: 13723 grad_norm: 3.7695 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.5341 loss: 1.5341 2022/08/09 01:05:23 - mmengine - INFO - Epoch(val) [25][20/155] eta: 0:02:08 time: 0.9546 data_time: 0.8140 memory: 1829 2022/08/09 01:05:31 - mmengine - INFO - Epoch(val) [25][40/155] eta: 0:00:48 time: 0.4212 data_time: 0.2815 memory: 1829 2022/08/09 01:05:44 - mmengine - INFO - Epoch(val) [25][60/155] eta: 0:01:02 time: 0.6530 data_time: 0.5128 memory: 1829 2022/08/09 01:05:54 - mmengine - INFO - Epoch(val) [25][80/155] eta: 0:00:36 time: 0.4859 data_time: 0.3468 memory: 1829 2022/08/09 01:06:06 - mmengine - INFO - Epoch(val) [25][100/155] eta: 0:00:34 time: 0.6202 data_time: 0.4805 memory: 1829 2022/08/09 01:06:18 - mmengine - INFO - Epoch(val) [25][120/155] eta: 0:00:20 time: 0.5729 data_time: 0.4340 memory: 1829 2022/08/09 01:06:31 - mmengine - INFO - Epoch(val) [25][140/155] eta: 0:00:10 time: 0.6859 data_time: 0.5474 memory: 1829 2022/08/09 01:06:41 - mmengine - INFO - Epoch(val) [25][155/155] acc/top1: 0.6204 acc/top5: 0.8454 acc/mean1: 0.6202 2022/08/09 01:06:58 - mmengine - INFO - Epoch(train) [26][20/1879] lr: 2.0000e-02 eta: 23:29:51 time: 0.8347 data_time: 0.2056 memory: 13723 grad_norm: 3.7989 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3943 loss: 1.3943 2022/08/09 01:07:01 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 01:07:10 - mmengine - INFO - Epoch(train) [26][40/1879] lr: 2.0000e-02 eta: 23:29:40 time: 0.6160 data_time: 0.0239 memory: 13723 grad_norm: 3.8713 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7254 loss: 1.7254 2022/08/09 01:07:23 - mmengine - INFO - Epoch(train) [26][60/1879] lr: 2.0000e-02 eta: 23:29:31 time: 0.6482 data_time: 0.0223 memory: 13723 grad_norm: 3.8342 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3606 loss: 1.3606 2022/08/09 01:07:34 - mmengine - INFO - Epoch(train) [26][80/1879] lr: 2.0000e-02 eta: 23:29:17 time: 0.5682 data_time: 0.0226 memory: 13723 grad_norm: 3.8155 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5752 loss: 1.5752 2022/08/09 01:07:47 - mmengine - INFO - Epoch(train) [26][100/1879] lr: 2.0000e-02 eta: 23:29:06 time: 0.6203 data_time: 0.0238 memory: 13723 grad_norm: 3.7582 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4549 loss: 1.4549 2022/08/09 01:07:58 - mmengine - INFO - Epoch(train) [26][120/1879] lr: 2.0000e-02 eta: 23:28:53 time: 0.5800 data_time: 0.0223 memory: 13723 grad_norm: 3.8891 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.4380 loss: 1.4380 2022/08/09 01:08:11 - mmengine - INFO - Epoch(train) [26][140/1879] lr: 2.0000e-02 eta: 23:28:41 time: 0.6065 data_time: 0.0195 memory: 13723 grad_norm: 3.7954 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4128 loss: 1.4128 2022/08/09 01:08:22 - mmengine - INFO - Epoch(train) [26][160/1879] lr: 2.0000e-02 eta: 23:28:28 time: 0.5790 data_time: 0.0235 memory: 13723 grad_norm: 3.8846 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6487 loss: 1.6487 2022/08/09 01:08:34 - mmengine - INFO - Epoch(train) [26][180/1879] lr: 2.0000e-02 eta: 23:28:14 time: 0.5770 data_time: 0.0208 memory: 13723 grad_norm: 3.7887 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4918 loss: 1.4918 2022/08/09 01:08:45 - mmengine - INFO - Epoch(train) [26][200/1879] lr: 2.0000e-02 eta: 23:28:00 time: 0.5706 data_time: 0.0242 memory: 13723 grad_norm: 3.6340 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4971 loss: 1.4971 2022/08/09 01:08:57 - mmengine - INFO - Epoch(train) [26][220/1879] lr: 2.0000e-02 eta: 23:27:47 time: 0.5775 data_time: 0.0206 memory: 13723 grad_norm: 3.8915 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4804 loss: 1.4804 2022/08/09 01:09:08 - mmengine - INFO - Epoch(train) [26][240/1879] lr: 2.0000e-02 eta: 23:27:33 time: 0.5695 data_time: 0.0235 memory: 13723 grad_norm: 3.8703 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4854 loss: 1.4854 2022/08/09 01:09:20 - mmengine - INFO - Epoch(train) [26][260/1879] lr: 2.0000e-02 eta: 23:27:20 time: 0.5712 data_time: 0.0234 memory: 13723 grad_norm: 3.8485 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5358 loss: 1.5358 2022/08/09 01:09:32 - mmengine - INFO - Epoch(train) [26][280/1879] lr: 2.0000e-02 eta: 23:27:10 time: 0.6409 data_time: 0.0252 memory: 13723 grad_norm: 3.9004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5484 loss: 1.5484 2022/08/09 01:09:44 - mmengine - INFO - Epoch(train) [26][300/1879] lr: 2.0000e-02 eta: 23:26:56 time: 0.5638 data_time: 0.0194 memory: 13723 grad_norm: 3.9351 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.4114 loss: 1.4114 2022/08/09 01:09:55 - mmengine - INFO - Epoch(train) [26][320/1879] lr: 2.0000e-02 eta: 23:26:42 time: 0.5758 data_time: 0.0246 memory: 13723 grad_norm: 3.8059 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3903 loss: 1.3903 2022/08/09 01:10:13 - mmengine - INFO - Epoch(train) [26][340/1879] lr: 2.0000e-02 eta: 23:26:48 time: 0.8954 data_time: 0.0170 memory: 13723 grad_norm: 3.8489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5241 loss: 1.5241 2022/08/09 01:10:25 - mmengine - INFO - Epoch(train) [26][360/1879] lr: 2.0000e-02 eta: 23:26:35 time: 0.5889 data_time: 0.0229 memory: 13723 grad_norm: 3.7452 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4918 loss: 1.4918 2022/08/09 01:10:38 - mmengine - INFO - Epoch(train) [26][380/1879] lr: 2.0000e-02 eta: 23:26:27 time: 0.6706 data_time: 0.0197 memory: 13723 grad_norm: 3.8532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4694 loss: 1.4694 2022/08/09 01:10:50 - mmengine - INFO - Epoch(train) [26][400/1879] lr: 2.0000e-02 eta: 23:26:14 time: 0.5806 data_time: 0.0255 memory: 13723 grad_norm: 3.8608 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6017 loss: 1.6017 2022/08/09 01:11:02 - mmengine - INFO - Epoch(train) [26][420/1879] lr: 2.0000e-02 eta: 23:26:01 time: 0.5841 data_time: 0.0204 memory: 13723 grad_norm: 3.9550 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4803 loss: 1.4803 2022/08/09 01:11:13 - mmengine - INFO - Epoch(train) [26][440/1879] lr: 2.0000e-02 eta: 23:25:49 time: 0.5911 data_time: 0.0231 memory: 13723 grad_norm: 3.9765 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4920 loss: 1.4920 2022/08/09 01:11:25 - mmengine - INFO - Epoch(train) [26][460/1879] lr: 2.0000e-02 eta: 23:25:36 time: 0.5844 data_time: 0.0213 memory: 13723 grad_norm: 3.8488 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5050 loss: 1.5050 2022/08/09 01:11:37 - mmengine - INFO - Epoch(train) [26][480/1879] lr: 2.0000e-02 eta: 23:25:22 time: 0.5753 data_time: 0.0224 memory: 13723 grad_norm: 3.8835 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5728 loss: 1.5728 2022/08/09 01:11:48 - mmengine - INFO - Epoch(train) [26][500/1879] lr: 2.0000e-02 eta: 23:25:08 time: 0.5706 data_time: 0.0229 memory: 13723 grad_norm: 3.8421 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4967 loss: 1.4967 2022/08/09 01:12:00 - mmengine - INFO - Epoch(train) [26][520/1879] lr: 2.0000e-02 eta: 23:24:56 time: 0.5911 data_time: 0.0311 memory: 13723 grad_norm: 3.8835 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6250 loss: 1.6250 2022/08/09 01:12:12 - mmengine - INFO - Epoch(train) [26][540/1879] lr: 2.0000e-02 eta: 23:24:43 time: 0.5846 data_time: 0.0350 memory: 13723 grad_norm: 3.9476 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4085 loss: 1.4085 2022/08/09 01:12:23 - mmengine - INFO - Epoch(train) [26][560/1879] lr: 2.0000e-02 eta: 23:24:30 time: 0.5844 data_time: 0.0231 memory: 13723 grad_norm: 3.8932 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.6450 loss: 1.6450 2022/08/09 01:12:35 - mmengine - INFO - Epoch(train) [26][580/1879] lr: 2.0000e-02 eta: 23:24:17 time: 0.5774 data_time: 0.0215 memory: 13723 grad_norm: 3.8800 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4897 loss: 1.4897 2022/08/09 01:12:46 - mmengine - INFO - Epoch(train) [26][600/1879] lr: 2.0000e-02 eta: 23:24:04 time: 0.5840 data_time: 0.0274 memory: 13723 grad_norm: 3.8939 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4518 loss: 1.4518 2022/08/09 01:12:58 - mmengine - INFO - Epoch(train) [26][620/1879] lr: 2.0000e-02 eta: 23:23:51 time: 0.5961 data_time: 0.0191 memory: 13723 grad_norm: 3.9296 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5064 loss: 1.5064 2022/08/09 01:13:10 - mmengine - INFO - Epoch(train) [26][640/1879] lr: 2.0000e-02 eta: 23:23:39 time: 0.5894 data_time: 0.0252 memory: 13723 grad_norm: 3.7557 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4721 loss: 1.4721 2022/08/09 01:13:23 - mmengine - INFO - Epoch(train) [26][660/1879] lr: 2.0000e-02 eta: 23:23:29 time: 0.6354 data_time: 0.0174 memory: 13723 grad_norm: 3.8017 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5064 loss: 1.5064 2022/08/09 01:13:34 - mmengine - INFO - Epoch(train) [26][680/1879] lr: 2.0000e-02 eta: 23:23:15 time: 0.5729 data_time: 0.0246 memory: 13723 grad_norm: 3.8197 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5261 loss: 1.5261 2022/08/09 01:13:46 - mmengine - INFO - Epoch(train) [26][700/1879] lr: 2.0000e-02 eta: 23:23:01 time: 0.5722 data_time: 0.0196 memory: 13723 grad_norm: 3.8177 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4409 loss: 1.4409 2022/08/09 01:13:57 - mmengine - INFO - Epoch(train) [26][720/1879] lr: 2.0000e-02 eta: 23:22:48 time: 0.5770 data_time: 0.0234 memory: 13723 grad_norm: 3.8752 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4125 loss: 1.4125 2022/08/09 01:14:09 - mmengine - INFO - Epoch(train) [26][740/1879] lr: 2.0000e-02 eta: 23:22:35 time: 0.5911 data_time: 0.0202 memory: 13723 grad_norm: 3.9283 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5201 loss: 1.5201 2022/08/09 01:14:22 - mmengine - INFO - Epoch(train) [26][760/1879] lr: 2.0000e-02 eta: 23:22:26 time: 0.6510 data_time: 0.0846 memory: 13723 grad_norm: 3.8165 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3691 loss: 1.3691 2022/08/09 01:14:35 - mmengine - INFO - Epoch(train) [26][780/1879] lr: 2.0000e-02 eta: 23:22:15 time: 0.6135 data_time: 0.0635 memory: 13723 grad_norm: 3.8252 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5433 loss: 1.5433 2022/08/09 01:14:47 - mmengine - INFO - Epoch(train) [26][800/1879] lr: 2.0000e-02 eta: 23:22:04 time: 0.6179 data_time: 0.0252 memory: 13723 grad_norm: 3.8989 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6909 loss: 1.6909 2022/08/09 01:14:58 - mmengine - INFO - Epoch(train) [26][820/1879] lr: 2.0000e-02 eta: 23:21:50 time: 0.5682 data_time: 0.0186 memory: 13723 grad_norm: 3.8966 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5968 loss: 1.5968 2022/08/09 01:15:11 - mmengine - INFO - Epoch(train) [26][840/1879] lr: 2.0000e-02 eta: 23:21:41 time: 0.6531 data_time: 0.0424 memory: 13723 grad_norm: 3.9007 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4188 loss: 1.4188 2022/08/09 01:15:23 - mmengine - INFO - Epoch(train) [26][860/1879] lr: 2.0000e-02 eta: 23:21:28 time: 0.5739 data_time: 0.0218 memory: 13723 grad_norm: 3.8039 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6705 loss: 1.6705 2022/08/09 01:15:34 - mmengine - INFO - Epoch(train) [26][880/1879] lr: 2.0000e-02 eta: 23:21:14 time: 0.5670 data_time: 0.0228 memory: 13723 grad_norm: 3.9812 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5097 loss: 1.5097 2022/08/09 01:15:46 - mmengine - INFO - Epoch(train) [26][900/1879] lr: 2.0000e-02 eta: 23:21:02 time: 0.6004 data_time: 0.0488 memory: 13723 grad_norm: 3.8538 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6546 loss: 1.6546 2022/08/09 01:15:58 - mmengine - INFO - Epoch(train) [26][920/1879] lr: 2.0000e-02 eta: 23:20:49 time: 0.5769 data_time: 0.0229 memory: 13723 grad_norm: 3.6703 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4603 loss: 1.4603 2022/08/09 01:16:09 - mmengine - INFO - Epoch(train) [26][940/1879] lr: 2.0000e-02 eta: 23:20:35 time: 0.5804 data_time: 0.0219 memory: 13723 grad_norm: 3.7316 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5870 loss: 1.5870 2022/08/09 01:16:22 - mmengine - INFO - Epoch(train) [26][960/1879] lr: 2.0000e-02 eta: 23:20:24 time: 0.6156 data_time: 0.0503 memory: 13723 grad_norm: 3.8391 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5496 loss: 1.5496 2022/08/09 01:16:33 - mmengine - INFO - Epoch(train) [26][980/1879] lr: 2.0000e-02 eta: 23:20:11 time: 0.5778 data_time: 0.0231 memory: 13723 grad_norm: 3.9890 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4457 loss: 1.4457 2022/08/09 01:16:45 - mmengine - INFO - Epoch(train) [26][1000/1879] lr: 2.0000e-02 eta: 23:19:57 time: 0.5708 data_time: 0.0253 memory: 13723 grad_norm: 3.7870 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5669 loss: 1.5669 2022/08/09 01:16:56 - mmengine - INFO - Epoch(train) [26][1020/1879] lr: 2.0000e-02 eta: 23:19:44 time: 0.5784 data_time: 0.0197 memory: 13723 grad_norm: 3.7677 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6300 loss: 1.6300 2022/08/09 01:16:59 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 01:17:08 - mmengine - INFO - Epoch(train) [26][1040/1879] lr: 2.0000e-02 eta: 23:19:30 time: 0.5681 data_time: 0.0234 memory: 13723 grad_norm: 3.8759 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5715 loss: 1.5715 2022/08/09 01:17:19 - mmengine - INFO - Epoch(train) [26][1060/1879] lr: 2.0000e-02 eta: 23:19:17 time: 0.5765 data_time: 0.0226 memory: 13723 grad_norm: 3.9615 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6562 loss: 1.6562 2022/08/09 01:17:31 - mmengine - INFO - Epoch(train) [26][1080/1879] lr: 2.0000e-02 eta: 23:19:03 time: 0.5780 data_time: 0.0276 memory: 13723 grad_norm: 3.8297 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4826 loss: 1.4826 2022/08/09 01:17:42 - mmengine - INFO - Epoch(train) [26][1100/1879] lr: 2.0000e-02 eta: 23:18:51 time: 0.5857 data_time: 0.0209 memory: 13723 grad_norm: 3.9141 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5679 loss: 1.5679 2022/08/09 01:17:55 - mmengine - INFO - Epoch(train) [26][1120/1879] lr: 2.0000e-02 eta: 23:18:41 time: 0.6423 data_time: 0.0240 memory: 13723 grad_norm: 3.8217 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4060 loss: 1.4060 2022/08/09 01:18:07 - mmengine - INFO - Epoch(train) [26][1140/1879] lr: 2.0000e-02 eta: 23:18:28 time: 0.5843 data_time: 0.0188 memory: 13723 grad_norm: 3.8781 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4153 loss: 1.4153 2022/08/09 01:18:19 - mmengine - INFO - Epoch(train) [26][1160/1879] lr: 2.0000e-02 eta: 23:18:16 time: 0.5980 data_time: 0.0235 memory: 13723 grad_norm: 3.8898 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5780 loss: 1.5780 2022/08/09 01:18:31 - mmengine - INFO - Epoch(train) [26][1180/1879] lr: 2.0000e-02 eta: 23:18:05 time: 0.6187 data_time: 0.0208 memory: 13723 grad_norm: 3.9222 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5413 loss: 1.5413 2022/08/09 01:18:43 - mmengine - INFO - Epoch(train) [26][1200/1879] lr: 2.0000e-02 eta: 23:17:52 time: 0.5761 data_time: 0.0232 memory: 13723 grad_norm: 3.7844 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2790 loss: 1.2790 2022/08/09 01:18:54 - mmengine - INFO - Epoch(train) [26][1220/1879] lr: 2.0000e-02 eta: 23:17:38 time: 0.5694 data_time: 0.0218 memory: 13723 grad_norm: 3.9160 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5358 loss: 1.5358 2022/08/09 01:19:06 - mmengine - INFO - Epoch(train) [26][1240/1879] lr: 2.0000e-02 eta: 23:17:25 time: 0.5787 data_time: 0.0225 memory: 13723 grad_norm: 3.8653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6409 loss: 1.6409 2022/08/09 01:19:17 - mmengine - INFO - Epoch(train) [26][1260/1879] lr: 2.0000e-02 eta: 23:17:11 time: 0.5816 data_time: 0.0228 memory: 13723 grad_norm: 3.8359 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5476 loss: 1.5476 2022/08/09 01:19:31 - mmengine - INFO - Epoch(train) [26][1280/1879] lr: 2.0000e-02 eta: 23:17:03 time: 0.6689 data_time: 0.0244 memory: 13723 grad_norm: 3.8491 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5312 loss: 1.5312 2022/08/09 01:19:42 - mmengine - INFO - Epoch(train) [26][1300/1879] lr: 2.0000e-02 eta: 23:16:50 time: 0.5737 data_time: 0.0222 memory: 13723 grad_norm: 3.7514 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6848 loss: 1.6848 2022/08/09 01:19:54 - mmengine - INFO - Epoch(train) [26][1320/1879] lr: 2.0000e-02 eta: 23:16:36 time: 0.5735 data_time: 0.0240 memory: 13723 grad_norm: 3.9284 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5030 loss: 1.5030 2022/08/09 01:20:06 - mmengine - INFO - Epoch(train) [26][1340/1879] lr: 2.0000e-02 eta: 23:16:26 time: 0.6254 data_time: 0.0211 memory: 13723 grad_norm: 3.9128 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5071 loss: 1.5071 2022/08/09 01:20:21 - mmengine - INFO - Epoch(train) [26][1360/1879] lr: 2.0000e-02 eta: 23:16:20 time: 0.7147 data_time: 0.0231 memory: 13723 grad_norm: 3.8407 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4939 loss: 1.4939 2022/08/09 01:20:34 - mmengine - INFO - Epoch(train) [26][1380/1879] lr: 2.0000e-02 eta: 23:16:12 time: 0.6585 data_time: 0.0179 memory: 13723 grad_norm: 3.9577 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4501 loss: 1.4501 2022/08/09 01:20:46 - mmengine - INFO - Epoch(train) [26][1400/1879] lr: 2.0000e-02 eta: 23:16:01 time: 0.6232 data_time: 0.0211 memory: 13723 grad_norm: 3.9302 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4424 loss: 1.4424 2022/08/09 01:20:58 - mmengine - INFO - Epoch(train) [26][1420/1879] lr: 2.0000e-02 eta: 23:15:48 time: 0.5871 data_time: 0.0237 memory: 13723 grad_norm: 3.8326 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5371 loss: 1.5371 2022/08/09 01:21:10 - mmengine - INFO - Epoch(train) [26][1440/1879] lr: 2.0000e-02 eta: 23:15:36 time: 0.5972 data_time: 0.0508 memory: 13723 grad_norm: 3.7276 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4661 loss: 1.4661 2022/08/09 01:21:23 - mmengine - INFO - Epoch(train) [26][1460/1879] lr: 2.0000e-02 eta: 23:15:26 time: 0.6274 data_time: 0.0816 memory: 13723 grad_norm: 3.8126 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4488 loss: 1.4488 2022/08/09 01:21:34 - mmengine - INFO - Epoch(train) [26][1480/1879] lr: 2.0000e-02 eta: 23:15:12 time: 0.5720 data_time: 0.0213 memory: 13723 grad_norm: 3.7756 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6098 loss: 1.6098 2022/08/09 01:21:46 - mmengine - INFO - Epoch(train) [26][1500/1879] lr: 2.0000e-02 eta: 23:14:59 time: 0.5843 data_time: 0.0204 memory: 13723 grad_norm: 3.7882 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5934 loss: 1.5934 2022/08/09 01:22:01 - mmengine - INFO - Epoch(train) [26][1520/1879] lr: 2.0000e-02 eta: 23:14:55 time: 0.7433 data_time: 0.0195 memory: 13723 grad_norm: 3.8183 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4705 loss: 1.4705 2022/08/09 01:22:12 - mmengine - INFO - Epoch(train) [26][1540/1879] lr: 2.0000e-02 eta: 23:14:42 time: 0.5713 data_time: 0.0219 memory: 13723 grad_norm: 3.8222 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4796 loss: 1.4796 2022/08/09 01:22:24 - mmengine - INFO - Epoch(train) [26][1560/1879] lr: 2.0000e-02 eta: 23:14:28 time: 0.5770 data_time: 0.0220 memory: 13723 grad_norm: 3.8228 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4430 loss: 1.4430 2022/08/09 01:22:35 - mmengine - INFO - Epoch(train) [26][1580/1879] lr: 2.0000e-02 eta: 23:14:15 time: 0.5796 data_time: 0.0227 memory: 13723 grad_norm: 3.9672 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4189 loss: 1.4189 2022/08/09 01:22:47 - mmengine - INFO - Epoch(train) [26][1600/1879] lr: 2.0000e-02 eta: 23:14:02 time: 0.5836 data_time: 0.0255 memory: 13723 grad_norm: 3.9973 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7153 loss: 1.7153 2022/08/09 01:22:58 - mmengine - INFO - Epoch(train) [26][1620/1879] lr: 2.0000e-02 eta: 23:13:49 time: 0.5799 data_time: 0.0205 memory: 13723 grad_norm: 3.8541 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6092 loss: 1.6092 2022/08/09 01:23:11 - mmengine - INFO - Epoch(train) [26][1640/1879] lr: 2.0000e-02 eta: 23:13:38 time: 0.6205 data_time: 0.0264 memory: 13723 grad_norm: 3.7367 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4599 loss: 1.4599 2022/08/09 01:23:23 - mmengine - INFO - Epoch(train) [26][1660/1879] lr: 2.0000e-02 eta: 23:13:28 time: 0.6281 data_time: 0.0317 memory: 13723 grad_norm: 3.9587 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5067 loss: 1.5067 2022/08/09 01:23:36 - mmengine - INFO - Epoch(train) [26][1680/1879] lr: 2.0000e-02 eta: 23:13:17 time: 0.6235 data_time: 0.0219 memory: 13723 grad_norm: 3.9214 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5888 loss: 1.5888 2022/08/09 01:23:48 - mmengine - INFO - Epoch(train) [26][1700/1879] lr: 2.0000e-02 eta: 23:13:04 time: 0.5844 data_time: 0.0195 memory: 13723 grad_norm: 3.8341 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6763 loss: 1.6763 2022/08/09 01:23:59 - mmengine - INFO - Epoch(train) [26][1720/1879] lr: 2.0000e-02 eta: 23:12:50 time: 0.5717 data_time: 0.0218 memory: 13723 grad_norm: 3.7704 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4922 loss: 1.4922 2022/08/09 01:24:11 - mmengine - INFO - Epoch(train) [26][1740/1879] lr: 2.0000e-02 eta: 23:12:37 time: 0.5822 data_time: 0.0229 memory: 13723 grad_norm: 3.8315 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4925 loss: 1.4925 2022/08/09 01:24:22 - mmengine - INFO - Epoch(train) [26][1760/1879] lr: 2.0000e-02 eta: 23:12:24 time: 0.5829 data_time: 0.0277 memory: 13723 grad_norm: 3.8323 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5943 loss: 1.5943 2022/08/09 01:24:35 - mmengine - INFO - Epoch(train) [26][1780/1879] lr: 2.0000e-02 eta: 23:12:13 time: 0.6176 data_time: 0.0190 memory: 13723 grad_norm: 3.8061 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5744 loss: 1.5744 2022/08/09 01:24:47 - mmengine - INFO - Epoch(train) [26][1800/1879] lr: 2.0000e-02 eta: 23:12:02 time: 0.6205 data_time: 0.0224 memory: 13723 grad_norm: 3.8216 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4812 loss: 1.4812 2022/08/09 01:24:59 - mmengine - INFO - Epoch(train) [26][1820/1879] lr: 2.0000e-02 eta: 23:11:49 time: 0.5678 data_time: 0.0220 memory: 13723 grad_norm: 3.9076 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5217 loss: 1.5217 2022/08/09 01:25:14 - mmengine - INFO - Epoch(train) [26][1840/1879] lr: 2.0000e-02 eta: 23:11:47 time: 0.7841 data_time: 0.0246 memory: 13723 grad_norm: 3.8316 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6245 loss: 1.6245 2022/08/09 01:25:25 - mmengine - INFO - Epoch(train) [26][1860/1879] lr: 2.0000e-02 eta: 23:11:33 time: 0.5587 data_time: 0.0196 memory: 13723 grad_norm: 3.8296 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4645 loss: 1.4645 2022/08/09 01:25:36 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 01:25:36 - mmengine - INFO - Epoch(train) [26][1879/1879] lr: 2.0000e-02 eta: 23:11:33 time: 0.5443 data_time: 0.0187 memory: 13723 grad_norm: 3.8949 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.4936 loss: 1.4936 2022/08/09 01:25:48 - mmengine - INFO - Epoch(val) [26][20/155] eta: 0:01:25 time: 0.6328 data_time: 0.4922 memory: 1829 2022/08/09 01:26:01 - mmengine - INFO - Epoch(val) [26][40/155] eta: 0:01:10 time: 0.6100 data_time: 0.4700 memory: 1829 2022/08/09 01:26:11 - mmengine - INFO - Epoch(val) [26][60/155] eta: 0:00:48 time: 0.5149 data_time: 0.3707 memory: 1829 2022/08/09 01:26:24 - mmengine - INFO - Epoch(val) [26][80/155] eta: 0:00:50 time: 0.6711 data_time: 0.5327 memory: 1829 2022/08/09 01:26:34 - mmengine - INFO - Epoch(val) [26][100/155] eta: 0:00:25 time: 0.4656 data_time: 0.3256 memory: 1829 2022/08/09 01:26:48 - mmengine - INFO - Epoch(val) [26][120/155] eta: 0:00:24 time: 0.7019 data_time: 0.5623 memory: 1829 2022/08/09 01:26:57 - mmengine - INFO - Epoch(val) [26][140/155] eta: 0:00:07 time: 0.4846 data_time: 0.3487 memory: 1829 2022/08/09 01:27:10 - mmengine - INFO - Epoch(val) [26][155/155] acc/top1: 0.6274 acc/top5: 0.8446 acc/mean1: 0.6271 2022/08/09 01:27:10 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_25.pth is removed 2022/08/09 01:27:12 - mmengine - INFO - The best checkpoint with 0.6274 acc/top1 at 27 epoch is saved to best_acc/top1_epoch_27.pth. 2022/08/09 01:27:30 - mmengine - INFO - Epoch(train) [27][20/1879] lr: 2.0000e-02 eta: 23:10:54 time: 0.8955 data_time: 0.3487 memory: 13723 grad_norm: 3.7070 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4299 loss: 1.4299 2022/08/09 01:27:44 - mmengine - INFO - Epoch(train) [27][40/1879] lr: 2.0000e-02 eta: 23:10:48 time: 0.7157 data_time: 0.1641 memory: 13723 grad_norm: 3.8391 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7171 loss: 1.7171 2022/08/09 01:27:56 - mmengine - INFO - Epoch(train) [27][60/1879] lr: 2.0000e-02 eta: 23:10:36 time: 0.5908 data_time: 0.0246 memory: 13723 grad_norm: 3.6820 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4704 loss: 1.4704 2022/08/09 01:28:07 - mmengine - INFO - Epoch(train) [27][80/1879] lr: 2.0000e-02 eta: 23:10:22 time: 0.5801 data_time: 0.0210 memory: 13723 grad_norm: 3.7919 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3152 loss: 1.3152 2022/08/09 01:28:21 - mmengine - INFO - Epoch(train) [27][100/1879] lr: 2.0000e-02 eta: 23:10:14 time: 0.6688 data_time: 0.0205 memory: 13723 grad_norm: 3.8714 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4862 loss: 1.4862 2022/08/09 01:28:32 - mmengine - INFO - Epoch(train) [27][120/1879] lr: 2.0000e-02 eta: 23:10:01 time: 0.5712 data_time: 0.0237 memory: 13723 grad_norm: 3.8529 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4626 loss: 1.4626 2022/08/09 01:28:44 - mmengine - INFO - Epoch(train) [27][140/1879] lr: 2.0000e-02 eta: 23:09:47 time: 0.5777 data_time: 0.0209 memory: 13723 grad_norm: 3.8870 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5556 loss: 1.5556 2022/08/09 01:28:47 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 01:28:56 - mmengine - INFO - Epoch(train) [27][160/1879] lr: 2.0000e-02 eta: 23:09:35 time: 0.6022 data_time: 0.0231 memory: 13723 grad_norm: 3.9433 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5564 loss: 1.5564 2022/08/09 01:29:09 - mmengine - INFO - Epoch(train) [27][180/1879] lr: 2.0000e-02 eta: 23:09:27 time: 0.6611 data_time: 0.0200 memory: 13723 grad_norm: 3.7561 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4883 loss: 1.4883 2022/08/09 01:29:21 - mmengine - INFO - Epoch(train) [27][200/1879] lr: 2.0000e-02 eta: 23:09:13 time: 0.5710 data_time: 0.0220 memory: 13723 grad_norm: 3.8255 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.4255 loss: 1.4255 2022/08/09 01:29:32 - mmengine - INFO - Epoch(train) [27][220/1879] lr: 2.0000e-02 eta: 23:09:01 time: 0.5907 data_time: 0.0325 memory: 13723 grad_norm: 3.7677 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4246 loss: 1.4246 2022/08/09 01:29:44 - mmengine - INFO - Epoch(train) [27][240/1879] lr: 2.0000e-02 eta: 23:08:47 time: 0.5709 data_time: 0.0213 memory: 13723 grad_norm: 3.7602 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4768 loss: 1.4768 2022/08/09 01:29:55 - mmengine - INFO - Epoch(train) [27][260/1879] lr: 2.0000e-02 eta: 23:08:34 time: 0.5755 data_time: 0.0267 memory: 13723 grad_norm: 3.7917 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4613 loss: 1.4613 2022/08/09 01:30:09 - mmengine - INFO - Epoch(train) [27][280/1879] lr: 2.0000e-02 eta: 23:08:28 time: 0.7092 data_time: 0.1544 memory: 13723 grad_norm: 3.8999 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6354 loss: 1.6354 2022/08/09 01:30:22 - mmengine - INFO - Epoch(train) [27][300/1879] lr: 2.0000e-02 eta: 23:08:18 time: 0.6396 data_time: 0.0238 memory: 13723 grad_norm: 3.7972 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3783 loss: 1.3783 2022/08/09 01:30:34 - mmengine - INFO - Epoch(train) [27][320/1879] lr: 2.0000e-02 eta: 23:08:06 time: 0.6045 data_time: 0.0176 memory: 13723 grad_norm: 3.8382 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4854 loss: 1.4854 2022/08/09 01:30:46 - mmengine - INFO - Epoch(train) [27][340/1879] lr: 2.0000e-02 eta: 23:07:54 time: 0.5909 data_time: 0.0260 memory: 13723 grad_norm: 3.7844 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5497 loss: 1.5497 2022/08/09 01:30:58 - mmengine - INFO - Epoch(train) [27][360/1879] lr: 2.0000e-02 eta: 23:07:42 time: 0.6040 data_time: 0.0196 memory: 13723 grad_norm: 3.8405 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3937 loss: 1.3937 2022/08/09 01:31:10 - mmengine - INFO - Epoch(train) [27][380/1879] lr: 2.0000e-02 eta: 23:07:29 time: 0.5909 data_time: 0.0229 memory: 13723 grad_norm: 3.8197 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4682 loss: 1.4682 2022/08/09 01:31:22 - mmengine - INFO - Epoch(train) [27][400/1879] lr: 2.0000e-02 eta: 23:07:16 time: 0.5738 data_time: 0.0219 memory: 13723 grad_norm: 3.8433 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3581 loss: 1.3581 2022/08/09 01:31:33 - mmengine - INFO - Epoch(train) [27][420/1879] lr: 2.0000e-02 eta: 23:07:02 time: 0.5770 data_time: 0.0230 memory: 13723 grad_norm: 3.8323 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6458 loss: 1.6458 2022/08/09 01:31:45 - mmengine - INFO - Epoch(train) [27][440/1879] lr: 2.0000e-02 eta: 23:06:49 time: 0.5787 data_time: 0.0245 memory: 13723 grad_norm: 3.7342 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4631 loss: 1.4631 2022/08/09 01:31:57 - mmengine - INFO - Epoch(train) [27][460/1879] lr: 2.0000e-02 eta: 23:06:37 time: 0.5895 data_time: 0.0237 memory: 13723 grad_norm: 3.9052 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5905 loss: 1.5905 2022/08/09 01:32:09 - mmengine - INFO - Epoch(train) [27][480/1879] lr: 2.0000e-02 eta: 23:06:26 time: 0.6191 data_time: 0.0200 memory: 13723 grad_norm: 3.6813 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4842 loss: 1.4842 2022/08/09 01:32:22 - mmengine - INFO - Epoch(train) [27][500/1879] lr: 2.0000e-02 eta: 23:06:17 time: 0.6535 data_time: 0.0212 memory: 13723 grad_norm: 3.8107 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6226 loss: 1.6226 2022/08/09 01:32:33 - mmengine - INFO - Epoch(train) [27][520/1879] lr: 2.0000e-02 eta: 23:06:03 time: 0.5618 data_time: 0.0201 memory: 13723 grad_norm: 3.8388 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4333 loss: 1.4333 2022/08/09 01:32:46 - mmengine - INFO - Epoch(train) [27][540/1879] lr: 2.0000e-02 eta: 23:05:53 time: 0.6379 data_time: 0.0222 memory: 13723 grad_norm: 3.9110 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6076 loss: 1.6076 2022/08/09 01:32:57 - mmengine - INFO - Epoch(train) [27][560/1879] lr: 2.0000e-02 eta: 23:05:39 time: 0.5677 data_time: 0.0205 memory: 13723 grad_norm: 3.8512 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5872 loss: 1.5872 2022/08/09 01:33:09 - mmengine - INFO - Epoch(train) [27][580/1879] lr: 2.0000e-02 eta: 23:05:26 time: 0.5851 data_time: 0.0220 memory: 13723 grad_norm: 3.9030 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6242 loss: 1.6242 2022/08/09 01:33:22 - mmengine - INFO - Epoch(train) [27][600/1879] lr: 2.0000e-02 eta: 23:05:17 time: 0.6549 data_time: 0.0218 memory: 13723 grad_norm: 3.9280 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4716 loss: 1.4716 2022/08/09 01:33:34 - mmengine - INFO - Epoch(train) [27][620/1879] lr: 2.0000e-02 eta: 23:05:04 time: 0.5761 data_time: 0.0235 memory: 13723 grad_norm: 3.9751 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4872 loss: 1.4872 2022/08/09 01:33:47 - mmengine - INFO - Epoch(train) [27][640/1879] lr: 2.0000e-02 eta: 23:04:54 time: 0.6438 data_time: 0.0192 memory: 13723 grad_norm: 3.8309 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5635 loss: 1.5635 2022/08/09 01:33:58 - mmengine - INFO - Epoch(train) [27][660/1879] lr: 2.0000e-02 eta: 23:04:40 time: 0.5694 data_time: 0.0224 memory: 13723 grad_norm: 3.8448 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5535 loss: 1.5535 2022/08/09 01:34:10 - mmengine - INFO - Epoch(train) [27][680/1879] lr: 2.0000e-02 eta: 23:04:27 time: 0.5773 data_time: 0.0242 memory: 13723 grad_norm: 3.8267 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5142 loss: 1.5142 2022/08/09 01:34:21 - mmengine - INFO - Epoch(train) [27][700/1879] lr: 2.0000e-02 eta: 23:04:14 time: 0.5818 data_time: 0.0238 memory: 13723 grad_norm: 3.9172 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4268 loss: 1.4268 2022/08/09 01:34:33 - mmengine - INFO - Epoch(train) [27][720/1879] lr: 2.0000e-02 eta: 23:04:01 time: 0.5782 data_time: 0.0201 memory: 13723 grad_norm: 3.9199 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6544 loss: 1.6544 2022/08/09 01:34:46 - mmengine - INFO - Epoch(train) [27][740/1879] lr: 2.0000e-02 eta: 23:03:51 time: 0.6464 data_time: 0.0257 memory: 13723 grad_norm: 3.8498 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3651 loss: 1.3651 2022/08/09 01:34:58 - mmengine - INFO - Epoch(train) [27][760/1879] lr: 2.0000e-02 eta: 23:03:41 time: 0.6277 data_time: 0.0178 memory: 13723 grad_norm: 3.9270 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5536 loss: 1.5536 2022/08/09 01:35:10 - mmengine - INFO - Epoch(train) [27][780/1879] lr: 2.0000e-02 eta: 23:03:29 time: 0.5960 data_time: 0.0263 memory: 13723 grad_norm: 3.7395 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4841 loss: 1.4841 2022/08/09 01:35:22 - mmengine - INFO - Epoch(train) [27][800/1879] lr: 2.0000e-02 eta: 23:03:17 time: 0.6070 data_time: 0.0211 memory: 13723 grad_norm: 3.9147 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5373 loss: 1.5373 2022/08/09 01:35:34 - mmengine - INFO - Epoch(train) [27][820/1879] lr: 2.0000e-02 eta: 23:03:04 time: 0.5788 data_time: 0.0218 memory: 13723 grad_norm: 3.9518 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5410 loss: 1.5410 2022/08/09 01:35:47 - mmengine - INFO - Epoch(train) [27][840/1879] lr: 2.0000e-02 eta: 23:02:55 time: 0.6635 data_time: 0.0209 memory: 13723 grad_norm: 3.8910 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4600 loss: 1.4600 2022/08/09 01:35:59 - mmengine - INFO - Epoch(train) [27][860/1879] lr: 2.0000e-02 eta: 23:02:41 time: 0.5695 data_time: 0.0221 memory: 13723 grad_norm: 3.8661 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4058 loss: 1.4058 2022/08/09 01:36:11 - mmengine - INFO - Epoch(train) [27][880/1879] lr: 2.0000e-02 eta: 23:02:29 time: 0.6011 data_time: 0.0227 memory: 13723 grad_norm: 4.0216 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5737 loss: 1.5737 2022/08/09 01:36:22 - mmengine - INFO - Epoch(train) [27][900/1879] lr: 2.0000e-02 eta: 23:02:16 time: 0.5677 data_time: 0.0215 memory: 13723 grad_norm: 3.8857 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3722 loss: 1.3722 2022/08/09 01:36:34 - mmengine - INFO - Epoch(train) [27][920/1879] lr: 2.0000e-02 eta: 23:02:02 time: 0.5791 data_time: 0.0247 memory: 13723 grad_norm: 4.0622 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6615 loss: 1.6615 2022/08/09 01:36:45 - mmengine - INFO - Epoch(train) [27][940/1879] lr: 2.0000e-02 eta: 23:01:49 time: 0.5825 data_time: 0.0238 memory: 13723 grad_norm: 3.9910 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5021 loss: 1.5021 2022/08/09 01:36:57 - mmengine - INFO - Epoch(train) [27][960/1879] lr: 2.0000e-02 eta: 23:01:36 time: 0.5800 data_time: 0.0220 memory: 13723 grad_norm: 3.8443 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5362 loss: 1.5362 2022/08/09 01:37:08 - mmengine - INFO - Epoch(train) [27][980/1879] lr: 2.0000e-02 eta: 23:01:23 time: 0.5772 data_time: 0.0229 memory: 13723 grad_norm: 3.8119 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4956 loss: 1.4956 2022/08/09 01:37:20 - mmengine - INFO - Epoch(train) [27][1000/1879] lr: 2.0000e-02 eta: 23:01:11 time: 0.5952 data_time: 0.0223 memory: 13723 grad_norm: 3.7239 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2741 loss: 1.2741 2022/08/09 01:37:32 - mmengine - INFO - Epoch(train) [27][1020/1879] lr: 2.0000e-02 eta: 23:00:58 time: 0.5864 data_time: 0.0219 memory: 13723 grad_norm: 3.8776 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5475 loss: 1.5475 2022/08/09 01:37:43 - mmengine - INFO - Epoch(train) [27][1040/1879] lr: 2.0000e-02 eta: 23:00:44 time: 0.5710 data_time: 0.0263 memory: 13723 grad_norm: 3.9608 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4173 loss: 1.4173 2022/08/09 01:37:56 - mmengine - INFO - Epoch(train) [27][1060/1879] lr: 2.0000e-02 eta: 23:00:35 time: 0.6441 data_time: 0.0350 memory: 13723 grad_norm: 3.7843 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5567 loss: 1.5567 2022/08/09 01:38:08 - mmengine - INFO - Epoch(train) [27][1080/1879] lr: 2.0000e-02 eta: 23:00:21 time: 0.5717 data_time: 0.0210 memory: 13723 grad_norm: 3.9205 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5086 loss: 1.5086 2022/08/09 01:38:19 - mmengine - INFO - Epoch(train) [27][1100/1879] lr: 2.0000e-02 eta: 23:00:08 time: 0.5763 data_time: 0.0232 memory: 13723 grad_norm: 3.9309 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7207 loss: 1.7207 2022/08/09 01:38:31 - mmengine - INFO - Epoch(train) [27][1120/1879] lr: 2.0000e-02 eta: 22:59:55 time: 0.5851 data_time: 0.0247 memory: 13723 grad_norm: 3.9299 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5611 loss: 1.5611 2022/08/09 01:38:43 - mmengine - INFO - Epoch(train) [27][1140/1879] lr: 2.0000e-02 eta: 22:59:43 time: 0.5924 data_time: 0.0468 memory: 13723 grad_norm: 3.9563 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5235 loss: 1.5235 2022/08/09 01:38:46 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 01:38:54 - mmengine - INFO - Epoch(train) [27][1160/1879] lr: 2.0000e-02 eta: 22:59:29 time: 0.5743 data_time: 0.0238 memory: 13723 grad_norm: 3.7560 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4346 loss: 1.4346 2022/08/09 01:39:06 - mmengine - INFO - Epoch(train) [27][1180/1879] lr: 2.0000e-02 eta: 22:59:17 time: 0.6027 data_time: 0.0220 memory: 13723 grad_norm: 3.8345 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3514 loss: 1.3514 2022/08/09 01:39:18 - mmengine - INFO - Epoch(train) [27][1200/1879] lr: 2.0000e-02 eta: 22:59:04 time: 0.5703 data_time: 0.0231 memory: 13723 grad_norm: 3.9683 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4172 loss: 1.4172 2022/08/09 01:39:29 - mmengine - INFO - Epoch(train) [27][1220/1879] lr: 2.0000e-02 eta: 22:58:50 time: 0.5784 data_time: 0.0246 memory: 13723 grad_norm: 3.8766 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4361 loss: 1.4361 2022/08/09 01:39:41 - mmengine - INFO - Epoch(train) [27][1240/1879] lr: 2.0000e-02 eta: 22:58:38 time: 0.5859 data_time: 0.0230 memory: 13723 grad_norm: 3.9594 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5975 loss: 1.5975 2022/08/09 01:39:53 - mmengine - INFO - Epoch(train) [27][1260/1879] lr: 2.0000e-02 eta: 22:58:24 time: 0.5786 data_time: 0.0231 memory: 13723 grad_norm: 3.8954 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6459 loss: 1.6459 2022/08/09 01:40:04 - mmengine - INFO - Epoch(train) [27][1280/1879] lr: 2.0000e-02 eta: 22:58:11 time: 0.5712 data_time: 0.0227 memory: 13723 grad_norm: 3.7647 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3260 loss: 1.3260 2022/08/09 01:40:18 - mmengine - INFO - Epoch(train) [27][1300/1879] lr: 2.0000e-02 eta: 22:58:03 time: 0.6808 data_time: 0.0257 memory: 13723 grad_norm: 3.8382 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6340 loss: 1.6340 2022/08/09 01:40:30 - mmengine - INFO - Epoch(train) [27][1320/1879] lr: 2.0000e-02 eta: 22:57:51 time: 0.6028 data_time: 0.0243 memory: 13723 grad_norm: 3.9385 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4366 loss: 1.4366 2022/08/09 01:40:43 - mmengine - INFO - Epoch(train) [27][1340/1879] lr: 2.0000e-02 eta: 22:57:43 time: 0.6680 data_time: 0.0215 memory: 13723 grad_norm: 3.9465 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5212 loss: 1.5212 2022/08/09 01:40:55 - mmengine - INFO - Epoch(train) [27][1360/1879] lr: 2.0000e-02 eta: 22:57:30 time: 0.5830 data_time: 0.0219 memory: 13723 grad_norm: 3.8424 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.5758 loss: 1.5758 2022/08/09 01:41:06 - mmengine - INFO - Epoch(train) [27][1380/1879] lr: 2.0000e-02 eta: 22:57:17 time: 0.5738 data_time: 0.0214 memory: 13723 grad_norm: 3.7775 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4594 loss: 1.4594 2022/08/09 01:41:18 - mmengine - INFO - Epoch(train) [27][1400/1879] lr: 2.0000e-02 eta: 22:57:03 time: 0.5757 data_time: 0.0221 memory: 13723 grad_norm: 3.7439 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5211 loss: 1.5211 2022/08/09 01:41:30 - mmengine - INFO - Epoch(train) [27][1420/1879] lr: 2.0000e-02 eta: 22:56:50 time: 0.5818 data_time: 0.0231 memory: 13723 grad_norm: 3.8703 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4704 loss: 1.4704 2022/08/09 01:41:41 - mmengine - INFO - Epoch(train) [27][1440/1879] lr: 2.0000e-02 eta: 22:56:37 time: 0.5710 data_time: 0.0219 memory: 13723 grad_norm: 3.8422 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.4601 loss: 1.4601 2022/08/09 01:41:53 - mmengine - INFO - Epoch(train) [27][1460/1879] lr: 2.0000e-02 eta: 22:56:24 time: 0.5964 data_time: 0.0242 memory: 13723 grad_norm: 3.9190 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6066 loss: 1.6066 2022/08/09 01:42:05 - mmengine - INFO - Epoch(train) [27][1480/1879] lr: 2.0000e-02 eta: 22:56:12 time: 0.5842 data_time: 0.0247 memory: 13723 grad_norm: 3.8990 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5530 loss: 1.5530 2022/08/09 01:42:16 - mmengine - INFO - Epoch(train) [27][1500/1879] lr: 2.0000e-02 eta: 22:55:58 time: 0.5801 data_time: 0.0229 memory: 13723 grad_norm: 3.8858 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6390 loss: 1.6390 2022/08/09 01:42:28 - mmengine - INFO - Epoch(train) [27][1520/1879] lr: 2.0000e-02 eta: 22:55:45 time: 0.5776 data_time: 0.0246 memory: 13723 grad_norm: 3.8032 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6074 loss: 1.6074 2022/08/09 01:42:39 - mmengine - INFO - Epoch(train) [27][1540/1879] lr: 2.0000e-02 eta: 22:55:32 time: 0.5742 data_time: 0.0239 memory: 13723 grad_norm: 3.9002 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4069 loss: 1.4069 2022/08/09 01:42:51 - mmengine - INFO - Epoch(train) [27][1560/1879] lr: 2.0000e-02 eta: 22:55:19 time: 0.5813 data_time: 0.0206 memory: 13723 grad_norm: 3.9566 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6330 loss: 1.6330 2022/08/09 01:43:03 - mmengine - INFO - Epoch(train) [27][1580/1879] lr: 2.0000e-02 eta: 22:55:07 time: 0.6025 data_time: 0.0226 memory: 13723 grad_norm: 3.8674 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5209 loss: 1.5209 2022/08/09 01:43:14 - mmengine - INFO - Epoch(train) [27][1600/1879] lr: 2.0000e-02 eta: 22:54:53 time: 0.5663 data_time: 0.0207 memory: 13723 grad_norm: 3.8507 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3026 loss: 1.3026 2022/08/09 01:43:26 - mmengine - INFO - Epoch(train) [27][1620/1879] lr: 2.0000e-02 eta: 22:54:40 time: 0.5730 data_time: 0.0228 memory: 13723 grad_norm: 3.7979 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6114 loss: 1.6114 2022/08/09 01:43:37 - mmengine - INFO - Epoch(train) [27][1640/1879] lr: 2.0000e-02 eta: 22:54:26 time: 0.5754 data_time: 0.0248 memory: 13723 grad_norm: 3.7096 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5132 loss: 1.5132 2022/08/09 01:43:49 - mmengine - INFO - Epoch(train) [27][1660/1879] lr: 2.0000e-02 eta: 22:54:13 time: 0.5760 data_time: 0.0242 memory: 13723 grad_norm: 3.8290 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7274 loss: 1.7274 2022/08/09 01:44:00 - mmengine - INFO - Epoch(train) [27][1680/1879] lr: 2.0000e-02 eta: 22:54:00 time: 0.5830 data_time: 0.0251 memory: 13723 grad_norm: 3.9648 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5755 loss: 1.5755 2022/08/09 01:44:12 - mmengine - INFO - Epoch(train) [27][1700/1879] lr: 2.0000e-02 eta: 22:53:47 time: 0.5793 data_time: 0.0217 memory: 13723 grad_norm: 3.8556 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4179 loss: 1.4179 2022/08/09 01:44:24 - mmengine - INFO - Epoch(train) [27][1720/1879] lr: 2.0000e-02 eta: 22:53:33 time: 0.5734 data_time: 0.0229 memory: 13723 grad_norm: 3.7511 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3047 loss: 1.3047 2022/08/09 01:44:36 - mmengine - INFO - Epoch(train) [27][1740/1879] lr: 2.0000e-02 eta: 22:53:21 time: 0.5960 data_time: 0.0232 memory: 13723 grad_norm: 3.8662 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5422 loss: 1.5422 2022/08/09 01:44:47 - mmengine - INFO - Epoch(train) [27][1760/1879] lr: 2.0000e-02 eta: 22:53:07 time: 0.5693 data_time: 0.0261 memory: 13723 grad_norm: 3.8419 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6601 loss: 1.6601 2022/08/09 01:44:59 - mmengine - INFO - Epoch(train) [27][1780/1879] lr: 2.0000e-02 eta: 22:52:55 time: 0.5871 data_time: 0.0230 memory: 13723 grad_norm: 3.8421 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4790 loss: 1.4790 2022/08/09 01:45:11 - mmengine - INFO - Epoch(train) [27][1800/1879] lr: 2.0000e-02 eta: 22:52:44 time: 0.6203 data_time: 0.0258 memory: 13723 grad_norm: 3.9333 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4992 loss: 1.4992 2022/08/09 01:45:23 - mmengine - INFO - Epoch(train) [27][1820/1879] lr: 2.0000e-02 eta: 22:52:31 time: 0.5825 data_time: 0.0259 memory: 13723 grad_norm: 3.9385 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6504 loss: 1.6504 2022/08/09 01:45:34 - mmengine - INFO - Epoch(train) [27][1840/1879] lr: 2.0000e-02 eta: 22:52:18 time: 0.5801 data_time: 0.0264 memory: 13723 grad_norm: 3.9279 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4954 loss: 1.4954 2022/08/09 01:45:46 - mmengine - INFO - Epoch(train) [27][1860/1879] lr: 2.0000e-02 eta: 22:52:05 time: 0.5880 data_time: 0.0221 memory: 13723 grad_norm: 3.9582 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4439 loss: 1.4439 2022/08/09 01:45:57 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 01:45:57 - mmengine - INFO - Epoch(train) [27][1879/1879] lr: 2.0000e-02 eta: 22:52:05 time: 0.5514 data_time: 0.0157 memory: 13723 grad_norm: 4.0255 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.4721 loss: 1.4721 2022/08/09 01:45:57 - mmengine - INFO - Saving checkpoint at 27 epochs 2022/08/09 01:46:11 - mmengine - INFO - Epoch(val) [27][20/155] eta: 0:01:25 time: 0.6369 data_time: 0.4669 memory: 1829 2022/08/09 01:46:21 - mmengine - INFO - Epoch(val) [27][40/155] eta: 0:01:01 time: 0.5363 data_time: 0.3967 memory: 1829 2022/08/09 01:46:34 - mmengine - INFO - Epoch(val) [27][60/155] eta: 0:01:00 time: 0.6387 data_time: 0.4990 memory: 1829 2022/08/09 01:46:44 - mmengine - INFO - Epoch(val) [27][80/155] eta: 0:00:37 time: 0.4950 data_time: 0.3551 memory: 1829 2022/08/09 01:46:58 - mmengine - INFO - Epoch(val) [27][100/155] eta: 0:00:36 time: 0.6718 data_time: 0.5312 memory: 1829 2022/08/09 01:47:08 - mmengine - INFO - Epoch(val) [27][120/155] eta: 0:00:17 time: 0.4976 data_time: 0.3581 memory: 1829 2022/08/09 01:47:19 - mmengine - INFO - Epoch(val) [27][140/155] eta: 0:00:08 time: 0.5764 data_time: 0.4389 memory: 1829 2022/08/09 01:47:25 - mmengine - INFO - Epoch(val) [27][155/155] acc/top1: 0.6171 acc/top5: 0.8421 acc/mean1: 0.6170 2022/08/09 01:47:42 - mmengine - INFO - Epoch(train) [28][20/1879] lr: 2.0000e-02 eta: 22:51:23 time: 0.8260 data_time: 0.2492 memory: 13723 grad_norm: 3.8553 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3228 loss: 1.3228 2022/08/09 01:47:55 - mmengine - INFO - Epoch(train) [28][40/1879] lr: 2.0000e-02 eta: 22:51:14 time: 0.6595 data_time: 0.0213 memory: 13723 grad_norm: 3.8396 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3490 loss: 1.3490 2022/08/09 01:48:07 - mmengine - INFO - Epoch(train) [28][60/1879] lr: 2.0000e-02 eta: 22:51:01 time: 0.5743 data_time: 0.0238 memory: 13723 grad_norm: 3.8790 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4439 loss: 1.4439 2022/08/09 01:48:18 - mmengine - INFO - Epoch(train) [28][80/1879] lr: 2.0000e-02 eta: 22:50:48 time: 0.5784 data_time: 0.0233 memory: 13723 grad_norm: 3.9822 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5117 loss: 1.5117 2022/08/09 01:48:55 - mmengine - INFO - Epoch(train) [28][100/1879] lr: 2.0000e-02 eta: 22:51:41 time: 1.8163 data_time: 0.0320 memory: 13723 grad_norm: 3.8700 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5631 loss: 1.5631 2022/08/09 01:49:06 - mmengine - INFO - Epoch(train) [28][120/1879] lr: 2.0000e-02 eta: 22:51:27 time: 0.5635 data_time: 0.0235 memory: 13723 grad_norm: 3.8973 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5006 loss: 1.5006 2022/08/09 01:49:17 - mmengine - INFO - Epoch(train) [28][140/1879] lr: 2.0000e-02 eta: 22:51:14 time: 0.5691 data_time: 0.0234 memory: 13723 grad_norm: 3.7286 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3215 loss: 1.3215 2022/08/09 01:49:30 - mmengine - INFO - Epoch(train) [28][160/1879] lr: 2.0000e-02 eta: 22:51:03 time: 0.6324 data_time: 0.0201 memory: 13723 grad_norm: 3.8750 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5341 loss: 1.5341 2022/08/09 01:49:41 - mmengine - INFO - Epoch(train) [28][180/1879] lr: 2.0000e-02 eta: 22:50:50 time: 0.5690 data_time: 0.0245 memory: 13723 grad_norm: 3.8752 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6218 loss: 1.6218 2022/08/09 01:49:53 - mmengine - INFO - Epoch(train) [28][200/1879] lr: 2.0000e-02 eta: 22:50:36 time: 0.5722 data_time: 0.0236 memory: 13723 grad_norm: 3.7092 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3418 loss: 1.3418 2022/08/09 01:50:10 - mmengine - INFO - Epoch(train) [28][220/1879] lr: 2.0000e-02 eta: 22:50:39 time: 0.8701 data_time: 0.3036 memory: 13723 grad_norm: 3.8479 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5917 loss: 1.5917 2022/08/09 01:50:24 - mmengine - INFO - Epoch(train) [28][240/1879] lr: 2.0000e-02 eta: 22:50:32 time: 0.6988 data_time: 0.0183 memory: 13723 grad_norm: 3.8254 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3082 loss: 1.3082 2022/08/09 01:50:36 - mmengine - INFO - Epoch(train) [28][260/1879] lr: 2.0000e-02 eta: 22:50:18 time: 0.5700 data_time: 0.0212 memory: 13723 grad_norm: 3.7361 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3896 loss: 1.3896 2022/08/09 01:50:41 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 01:50:48 - mmengine - INFO - Epoch(train) [28][280/1879] lr: 2.0000e-02 eta: 22:50:08 time: 0.6336 data_time: 0.0198 memory: 13723 grad_norm: 3.8988 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3675 loss: 1.3675 2022/08/09 01:51:00 - mmengine - INFO - Epoch(train) [28][300/1879] lr: 2.0000e-02 eta: 22:49:55 time: 0.5741 data_time: 0.0233 memory: 13723 grad_norm: 3.7206 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5514 loss: 1.5514 2022/08/09 01:51:11 - mmengine - INFO - Epoch(train) [28][320/1879] lr: 2.0000e-02 eta: 22:49:41 time: 0.5674 data_time: 0.0221 memory: 13723 grad_norm: 3.8566 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4371 loss: 1.4371 2022/08/09 01:51:23 - mmengine - INFO - Epoch(train) [28][340/1879] lr: 2.0000e-02 eta: 22:49:27 time: 0.5723 data_time: 0.0239 memory: 13723 grad_norm: 3.8584 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3705 loss: 1.3705 2022/08/09 01:51:34 - mmengine - INFO - Epoch(train) [28][360/1879] lr: 2.0000e-02 eta: 22:49:14 time: 0.5825 data_time: 0.0226 memory: 13723 grad_norm: 3.8651 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4609 loss: 1.4609 2022/08/09 01:51:46 - mmengine - INFO - Epoch(train) [28][380/1879] lr: 2.0000e-02 eta: 22:49:01 time: 0.5742 data_time: 0.0231 memory: 13723 grad_norm: 3.8100 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5508 loss: 1.5508 2022/08/09 01:51:57 - mmengine - INFO - Epoch(train) [28][400/1879] lr: 2.0000e-02 eta: 22:48:47 time: 0.5691 data_time: 0.0223 memory: 13723 grad_norm: 3.7513 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4473 loss: 1.4473 2022/08/09 01:52:09 - mmengine - INFO - Epoch(train) [28][420/1879] lr: 2.0000e-02 eta: 22:48:34 time: 0.5824 data_time: 0.0311 memory: 13723 grad_norm: 3.9563 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3356 loss: 1.3356 2022/08/09 01:52:20 - mmengine - INFO - Epoch(train) [28][440/1879] lr: 2.0000e-02 eta: 22:48:21 time: 0.5787 data_time: 0.0227 memory: 13723 grad_norm: 3.7755 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6784 loss: 1.6784 2022/08/09 01:52:32 - mmengine - INFO - Epoch(train) [28][460/1879] lr: 2.0000e-02 eta: 22:48:08 time: 0.5834 data_time: 0.0231 memory: 13723 grad_norm: 3.8286 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5358 loss: 1.5358 2022/08/09 01:52:43 - mmengine - INFO - Epoch(train) [28][480/1879] lr: 2.0000e-02 eta: 22:47:55 time: 0.5717 data_time: 0.0233 memory: 13723 grad_norm: 3.9071 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4884 loss: 1.4884 2022/08/09 01:52:55 - mmengine - INFO - Epoch(train) [28][500/1879] lr: 2.0000e-02 eta: 22:47:42 time: 0.5798 data_time: 0.0213 memory: 13723 grad_norm: 3.8399 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4803 loss: 1.4803 2022/08/09 01:53:06 - mmengine - INFO - Epoch(train) [28][520/1879] lr: 2.0000e-02 eta: 22:47:28 time: 0.5719 data_time: 0.0235 memory: 13723 grad_norm: 3.7592 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6245 loss: 1.6245 2022/08/09 01:53:19 - mmengine - INFO - Epoch(train) [28][540/1879] lr: 2.0000e-02 eta: 22:47:18 time: 0.6384 data_time: 0.0828 memory: 13723 grad_norm: 3.8462 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3868 loss: 1.3868 2022/08/09 01:53:31 - mmengine - INFO - Epoch(train) [28][560/1879] lr: 2.0000e-02 eta: 22:47:05 time: 0.5773 data_time: 0.0193 memory: 13723 grad_norm: 3.8350 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7265 loss: 1.7265 2022/08/09 01:53:42 - mmengine - INFO - Epoch(train) [28][580/1879] lr: 2.0000e-02 eta: 22:46:51 time: 0.5703 data_time: 0.0235 memory: 13723 grad_norm: 3.9034 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4401 loss: 1.4401 2022/08/09 01:53:54 - mmengine - INFO - Epoch(train) [28][600/1879] lr: 2.0000e-02 eta: 22:46:39 time: 0.5920 data_time: 0.0246 memory: 13723 grad_norm: 3.8572 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4632 loss: 1.4632 2022/08/09 01:54:06 - mmengine - INFO - Epoch(train) [28][620/1879] lr: 2.0000e-02 eta: 22:46:25 time: 0.5775 data_time: 0.0237 memory: 13723 grad_norm: 3.9669 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4228 loss: 1.4228 2022/08/09 01:54:17 - mmengine - INFO - Epoch(train) [28][640/1879] lr: 2.0000e-02 eta: 22:46:12 time: 0.5671 data_time: 0.0206 memory: 13723 grad_norm: 3.8128 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5241 loss: 1.5241 2022/08/09 01:54:29 - mmengine - INFO - Epoch(train) [28][660/1879] lr: 2.0000e-02 eta: 22:45:59 time: 0.5812 data_time: 0.0253 memory: 13723 grad_norm: 3.8488 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5936 loss: 1.5936 2022/08/09 01:54:40 - mmengine - INFO - Epoch(train) [28][680/1879] lr: 2.0000e-02 eta: 22:45:45 time: 0.5744 data_time: 0.0230 memory: 13723 grad_norm: 3.9117 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4604 loss: 1.4604 2022/08/09 01:54:52 - mmengine - INFO - Epoch(train) [28][700/1879] lr: 2.0000e-02 eta: 22:45:32 time: 0.5762 data_time: 0.0228 memory: 13723 grad_norm: 3.8653 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.4434 loss: 1.4434 2022/08/09 01:55:03 - mmengine - INFO - Epoch(train) [28][720/1879] lr: 2.0000e-02 eta: 22:45:19 time: 0.5782 data_time: 0.0228 memory: 13723 grad_norm: 3.8475 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5244 loss: 1.5244 2022/08/09 01:55:19 - mmengine - INFO - Epoch(train) [28][740/1879] lr: 2.0000e-02 eta: 22:45:17 time: 0.7924 data_time: 0.0232 memory: 13723 grad_norm: 3.9553 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6119 loss: 1.6119 2022/08/09 01:55:32 - mmengine - INFO - Epoch(train) [28][760/1879] lr: 2.0000e-02 eta: 22:45:07 time: 0.6361 data_time: 0.0218 memory: 13723 grad_norm: 3.8742 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3157 loss: 1.3157 2022/08/09 01:55:43 - mmengine - INFO - Epoch(train) [28][780/1879] lr: 2.0000e-02 eta: 22:44:53 time: 0.5702 data_time: 0.0213 memory: 13723 grad_norm: 3.8861 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4067 loss: 1.4067 2022/08/09 01:55:55 - mmengine - INFO - Epoch(train) [28][800/1879] lr: 2.0000e-02 eta: 22:44:40 time: 0.5754 data_time: 0.0238 memory: 13723 grad_norm: 3.9023 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3448 loss: 1.3448 2022/08/09 01:56:06 - mmengine - INFO - Epoch(train) [28][820/1879] lr: 2.0000e-02 eta: 22:44:26 time: 0.5743 data_time: 0.0234 memory: 13723 grad_norm: 3.9626 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5168 loss: 1.5168 2022/08/09 01:56:18 - mmengine - INFO - Epoch(train) [28][840/1879] lr: 2.0000e-02 eta: 22:44:13 time: 0.5771 data_time: 0.0224 memory: 13723 grad_norm: 3.9673 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5638 loss: 1.5638 2022/08/09 01:56:30 - mmengine - INFO - Epoch(train) [28][860/1879] lr: 2.0000e-02 eta: 22:44:02 time: 0.6233 data_time: 0.0228 memory: 13723 grad_norm: 3.9473 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4565 loss: 1.4565 2022/08/09 01:56:42 - mmengine - INFO - Epoch(train) [28][880/1879] lr: 2.0000e-02 eta: 22:43:49 time: 0.5661 data_time: 0.0225 memory: 13723 grad_norm: 3.8964 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5512 loss: 1.5512 2022/08/09 01:56:53 - mmengine - INFO - Epoch(train) [28][900/1879] lr: 2.0000e-02 eta: 22:43:36 time: 0.5882 data_time: 0.0220 memory: 13723 grad_norm: 3.8505 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5817 loss: 1.5817 2022/08/09 01:57:06 - mmengine - INFO - Epoch(train) [28][920/1879] lr: 2.0000e-02 eta: 22:43:27 time: 0.6554 data_time: 0.0222 memory: 13723 grad_norm: 3.9099 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2905 loss: 1.2905 2022/08/09 01:57:18 - mmengine - INFO - Epoch(train) [28][940/1879] lr: 2.0000e-02 eta: 22:43:13 time: 0.5652 data_time: 0.0212 memory: 13723 grad_norm: 3.9916 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5161 loss: 1.5161 2022/08/09 01:57:31 - mmengine - INFO - Epoch(train) [28][960/1879] lr: 2.0000e-02 eta: 22:43:03 time: 0.6356 data_time: 0.0227 memory: 13723 grad_norm: 3.8682 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4760 loss: 1.4760 2022/08/09 01:57:42 - mmengine - INFO - Epoch(train) [28][980/1879] lr: 2.0000e-02 eta: 22:42:50 time: 0.5920 data_time: 0.0188 memory: 13723 grad_norm: 3.7598 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5729 loss: 1.5729 2022/08/09 01:57:54 - mmengine - INFO - Epoch(train) [28][1000/1879] lr: 2.0000e-02 eta: 22:42:39 time: 0.6029 data_time: 0.0216 memory: 13723 grad_norm: 3.8683 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5669 loss: 1.5669 2022/08/09 01:58:07 - mmengine - INFO - Epoch(train) [28][1020/1879] lr: 2.0000e-02 eta: 22:42:29 time: 0.6417 data_time: 0.0221 memory: 13723 grad_norm: 3.8634 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4310 loss: 1.4310 2022/08/09 01:58:19 - mmengine - INFO - Epoch(train) [28][1040/1879] lr: 2.0000e-02 eta: 22:42:15 time: 0.5674 data_time: 0.0240 memory: 13723 grad_norm: 3.9071 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6243 loss: 1.6243 2022/08/09 01:58:33 - mmengine - INFO - Epoch(train) [28][1060/1879] lr: 2.0000e-02 eta: 22:42:08 time: 0.6968 data_time: 0.0224 memory: 13723 grad_norm: 3.8258 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6633 loss: 1.6633 2022/08/09 01:58:46 - mmengine - INFO - Epoch(train) [28][1080/1879] lr: 2.0000e-02 eta: 22:41:59 time: 0.6610 data_time: 0.0204 memory: 13723 grad_norm: 3.9315 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6740 loss: 1.6740 2022/08/09 01:58:57 - mmengine - INFO - Epoch(train) [28][1100/1879] lr: 2.0000e-02 eta: 22:41:45 time: 0.5659 data_time: 0.0226 memory: 13723 grad_norm: 3.8244 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5601 loss: 1.5601 2022/08/09 01:59:08 - mmengine - INFO - Epoch(train) [28][1120/1879] lr: 2.0000e-02 eta: 22:41:32 time: 0.5679 data_time: 0.0232 memory: 13723 grad_norm: 3.9053 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4056 loss: 1.4056 2022/08/09 01:59:21 - mmengine - INFO - Epoch(train) [28][1140/1879] lr: 2.0000e-02 eta: 22:41:20 time: 0.6071 data_time: 0.0236 memory: 13723 grad_norm: 3.9765 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4821 loss: 1.4821 2022/08/09 01:59:32 - mmengine - INFO - Epoch(train) [28][1160/1879] lr: 2.0000e-02 eta: 22:41:07 time: 0.5770 data_time: 0.0241 memory: 13723 grad_norm: 3.9015 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7641 loss: 1.7641 2022/08/09 01:59:44 - mmengine - INFO - Epoch(train) [28][1180/1879] lr: 2.0000e-02 eta: 22:40:54 time: 0.5883 data_time: 0.0240 memory: 13723 grad_norm: 3.8528 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5358 loss: 1.5358 2022/08/09 01:59:56 - mmengine - INFO - Epoch(train) [28][1200/1879] lr: 2.0000e-02 eta: 22:40:43 time: 0.6183 data_time: 0.0205 memory: 13723 grad_norm: 3.7872 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5131 loss: 1.5131 2022/08/09 02:00:12 - mmengine - INFO - Epoch(train) [28][1220/1879] lr: 2.0000e-02 eta: 22:40:42 time: 0.8058 data_time: 0.1603 memory: 13723 grad_norm: 3.8603 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5667 loss: 1.5667 2022/08/09 02:00:27 - mmengine - INFO - Epoch(train) [28][1240/1879] lr: 2.0000e-02 eta: 22:40:36 time: 0.7197 data_time: 0.0184 memory: 13723 grad_norm: 3.9244 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5157 loss: 1.5157 2022/08/09 02:00:39 - mmengine - INFO - Epoch(train) [28][1260/1879] lr: 2.0000e-02 eta: 22:40:23 time: 0.5905 data_time: 0.0209 memory: 13723 grad_norm: 3.8707 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5327 loss: 1.5327 2022/08/09 02:00:43 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 02:00:50 - mmengine - INFO - Epoch(train) [28][1280/1879] lr: 2.0000e-02 eta: 22:40:11 time: 0.5850 data_time: 0.0217 memory: 13723 grad_norm: 3.8939 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7121 loss: 1.7121 2022/08/09 02:01:02 - mmengine - INFO - Epoch(train) [28][1300/1879] lr: 2.0000e-02 eta: 22:39:58 time: 0.5803 data_time: 0.0222 memory: 13723 grad_norm: 3.9410 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5100 loss: 1.5100 2022/08/09 02:01:13 - mmengine - INFO - Epoch(train) [28][1320/1879] lr: 2.0000e-02 eta: 22:39:44 time: 0.5709 data_time: 0.0231 memory: 13723 grad_norm: 3.9664 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4687 loss: 1.4687 2022/08/09 02:01:26 - mmengine - INFO - Epoch(train) [28][1340/1879] lr: 2.0000e-02 eta: 22:39:34 time: 0.6400 data_time: 0.0256 memory: 13723 grad_norm: 3.9342 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5652 loss: 1.5652 2022/08/09 02:01:38 - mmengine - INFO - Epoch(train) [28][1360/1879] lr: 2.0000e-02 eta: 22:39:20 time: 0.5709 data_time: 0.0197 memory: 13723 grad_norm: 4.0113 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4101 loss: 1.4101 2022/08/09 02:01:49 - mmengine - INFO - Epoch(train) [28][1380/1879] lr: 2.0000e-02 eta: 22:39:07 time: 0.5722 data_time: 0.0236 memory: 13723 grad_norm: 3.9099 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3965 loss: 1.3965 2022/08/09 02:02:01 - mmengine - INFO - Epoch(train) [28][1400/1879] lr: 2.0000e-02 eta: 22:38:54 time: 0.5733 data_time: 0.0219 memory: 13723 grad_norm: 3.9633 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4853 loss: 1.4853 2022/08/09 02:02:13 - mmengine - INFO - Epoch(train) [28][1420/1879] lr: 2.0000e-02 eta: 22:38:42 time: 0.6166 data_time: 0.0225 memory: 13723 grad_norm: 3.9520 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5910 loss: 1.5910 2022/08/09 02:02:24 - mmengine - INFO - Epoch(train) [28][1440/1879] lr: 2.0000e-02 eta: 22:38:29 time: 0.5773 data_time: 0.0215 memory: 13723 grad_norm: 3.7975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4626 loss: 1.4626 2022/08/09 02:02:36 - mmengine - INFO - Epoch(train) [28][1460/1879] lr: 2.0000e-02 eta: 22:38:16 time: 0.5744 data_time: 0.0218 memory: 13723 grad_norm: 3.8258 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5759 loss: 1.5759 2022/08/09 02:02:48 - mmengine - INFO - Epoch(train) [28][1480/1879] lr: 2.0000e-02 eta: 22:38:03 time: 0.5855 data_time: 0.0225 memory: 13723 grad_norm: 3.8308 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3791 loss: 1.3791 2022/08/09 02:03:00 - mmengine - INFO - Epoch(train) [28][1500/1879] lr: 2.0000e-02 eta: 22:37:52 time: 0.6142 data_time: 0.0217 memory: 13723 grad_norm: 3.9089 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5307 loss: 1.5307 2022/08/09 02:03:11 - mmengine - INFO - Epoch(train) [28][1520/1879] lr: 2.0000e-02 eta: 22:37:38 time: 0.5715 data_time: 0.0222 memory: 13723 grad_norm: 3.8410 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5197 loss: 1.5197 2022/08/09 02:03:23 - mmengine - INFO - Epoch(train) [28][1540/1879] lr: 2.0000e-02 eta: 22:37:25 time: 0.5789 data_time: 0.0226 memory: 13723 grad_norm: 3.9120 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4251 loss: 1.4251 2022/08/09 02:03:35 - mmengine - INFO - Epoch(train) [28][1560/1879] lr: 2.0000e-02 eta: 22:37:12 time: 0.5852 data_time: 0.0233 memory: 13723 grad_norm: 3.8571 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3309 loss: 1.3309 2022/08/09 02:03:47 - mmengine - INFO - Epoch(train) [28][1580/1879] lr: 2.0000e-02 eta: 22:37:01 time: 0.6204 data_time: 0.0251 memory: 13723 grad_norm: 3.8955 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6543 loss: 1.6543 2022/08/09 02:03:58 - mmengine - INFO - Epoch(train) [28][1600/1879] lr: 2.0000e-02 eta: 22:36:47 time: 0.5658 data_time: 0.0200 memory: 13723 grad_norm: 3.9288 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3989 loss: 1.3989 2022/08/09 02:04:10 - mmengine - INFO - Epoch(train) [28][1620/1879] lr: 2.0000e-02 eta: 22:36:34 time: 0.5730 data_time: 0.0219 memory: 13723 grad_norm: 3.8440 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4585 loss: 1.4585 2022/08/09 02:04:21 - mmengine - INFO - Epoch(train) [28][1640/1879] lr: 2.0000e-02 eta: 22:36:21 time: 0.5767 data_time: 0.0240 memory: 13723 grad_norm: 3.7587 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6384 loss: 1.6384 2022/08/09 02:04:34 - mmengine - INFO - Epoch(train) [28][1660/1879] lr: 2.0000e-02 eta: 22:36:09 time: 0.6022 data_time: 0.0219 memory: 13723 grad_norm: 3.8534 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4411 loss: 1.4411 2022/08/09 02:04:47 - mmengine - INFO - Epoch(train) [28][1680/1879] lr: 2.0000e-02 eta: 22:36:00 time: 0.6564 data_time: 0.0231 memory: 13723 grad_norm: 3.8979 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4030 loss: 1.4030 2022/08/09 02:04:59 - mmengine - INFO - Epoch(train) [28][1700/1879] lr: 2.0000e-02 eta: 22:35:49 time: 0.6179 data_time: 0.0200 memory: 13723 grad_norm: 3.8518 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3800 loss: 1.3800 2022/08/09 02:05:10 - mmengine - INFO - Epoch(train) [28][1720/1879] lr: 2.0000e-02 eta: 22:35:35 time: 0.5648 data_time: 0.0184 memory: 13723 grad_norm: 4.0091 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7292 loss: 1.7292 2022/08/09 02:05:22 - mmengine - INFO - Epoch(train) [28][1740/1879] lr: 2.0000e-02 eta: 22:35:22 time: 0.5929 data_time: 0.0248 memory: 13723 grad_norm: 3.8781 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5658 loss: 1.5658 2022/08/09 02:05:37 - mmengine - INFO - Epoch(train) [28][1760/1879] lr: 2.0000e-02 eta: 22:35:17 time: 0.7314 data_time: 0.0165 memory: 13723 grad_norm: 3.9266 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2653 loss: 1.2653 2022/08/09 02:05:49 - mmengine - INFO - Epoch(train) [28][1780/1879] lr: 2.0000e-02 eta: 22:35:04 time: 0.5867 data_time: 0.0211 memory: 13723 grad_norm: 3.8762 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5688 loss: 1.5688 2022/08/09 02:06:02 - mmengine - INFO - Epoch(train) [28][1800/1879] lr: 2.0000e-02 eta: 22:34:56 time: 0.6643 data_time: 0.0193 memory: 13723 grad_norm: 3.9035 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5348 loss: 1.5348 2022/08/09 02:06:14 - mmengine - INFO - Epoch(train) [28][1820/1879] lr: 2.0000e-02 eta: 22:34:44 time: 0.6177 data_time: 0.0203 memory: 13723 grad_norm: 3.7948 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6873 loss: 1.6873 2022/08/09 02:06:27 - mmengine - INFO - Epoch(train) [28][1840/1879] lr: 2.0000e-02 eta: 22:34:35 time: 0.6450 data_time: 0.0206 memory: 13723 grad_norm: 3.8803 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3796 loss: 1.3796 2022/08/09 02:06:40 - mmengine - INFO - Epoch(train) [28][1860/1879] lr: 2.0000e-02 eta: 22:34:25 time: 0.6522 data_time: 0.0236 memory: 13723 grad_norm: 3.7584 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4337 loss: 1.4337 2022/08/09 02:06:50 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 02:06:50 - mmengine - INFO - Epoch(train) [28][1879/1879] lr: 2.0000e-02 eta: 22:34:25 time: 0.5347 data_time: 0.0148 memory: 13723 grad_norm: 3.9543 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.3491 loss: 1.3491 2022/08/09 02:07:06 - mmengine - INFO - Epoch(val) [28][20/155] eta: 0:01:44 time: 0.7734 data_time: 0.6327 memory: 1829 2022/08/09 02:07:17 - mmengine - INFO - Epoch(val) [28][40/155] eta: 0:01:01 time: 0.5330 data_time: 0.3924 memory: 1829 2022/08/09 02:07:31 - mmengine - INFO - Epoch(val) [28][60/155] eta: 0:01:07 time: 0.7061 data_time: 0.5663 memory: 1829 2022/08/09 02:07:40 - mmengine - INFO - Epoch(val) [28][80/155] eta: 0:00:35 time: 0.4730 data_time: 0.3344 memory: 1829 2022/08/09 02:07:55 - mmengine - INFO - Epoch(val) [28][100/155] eta: 0:00:41 time: 0.7532 data_time: 0.6117 memory: 1829 2022/08/09 02:08:06 - mmengine - INFO - Epoch(val) [28][120/155] eta: 0:00:18 time: 0.5398 data_time: 0.4015 memory: 1829 2022/08/09 02:08:18 - mmengine - INFO - Epoch(val) [28][140/155] eta: 0:00:09 time: 0.6256 data_time: 0.4917 memory: 1829 2022/08/09 02:08:31 - mmengine - INFO - Epoch(val) [28][155/155] acc/top1: 0.6270 acc/top5: 0.8494 acc/mean1: 0.6269 2022/08/09 02:08:50 - mmengine - INFO - Epoch(train) [29][20/1879] lr: 2.0000e-02 eta: 22:33:50 time: 0.9416 data_time: 0.1992 memory: 13723 grad_norm: 3.7957 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6605 loss: 1.6605 2022/08/09 02:09:02 - mmengine - INFO - Epoch(train) [29][40/1879] lr: 2.0000e-02 eta: 22:33:38 time: 0.5942 data_time: 0.0221 memory: 13723 grad_norm: 3.8165 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5513 loss: 1.5513 2022/08/09 02:09:14 - mmengine - INFO - Epoch(train) [29][60/1879] lr: 2.0000e-02 eta: 22:33:27 time: 0.6182 data_time: 0.0186 memory: 13723 grad_norm: 3.7942 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5486 loss: 1.5486 2022/08/09 02:09:29 - mmengine - INFO - Epoch(train) [29][80/1879] lr: 2.0000e-02 eta: 22:33:22 time: 0.7407 data_time: 0.0187 memory: 13723 grad_norm: 3.7887 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3200 loss: 1.3200 2022/08/09 02:09:43 - mmengine - INFO - Epoch(train) [29][100/1879] lr: 2.0000e-02 eta: 22:33:15 time: 0.7049 data_time: 0.0206 memory: 13723 grad_norm: 3.9217 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4429 loss: 1.4429 2022/08/09 02:09:55 - mmengine - INFO - Epoch(train) [29][120/1879] lr: 2.0000e-02 eta: 22:33:03 time: 0.5987 data_time: 0.0193 memory: 13723 grad_norm: 3.8823 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4643 loss: 1.4643 2022/08/09 02:10:08 - mmengine - INFO - Epoch(train) [29][140/1879] lr: 2.0000e-02 eta: 22:32:54 time: 0.6554 data_time: 0.0226 memory: 13723 grad_norm: 3.8145 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5905 loss: 1.5905 2022/08/09 02:10:24 - mmengine - INFO - Epoch(train) [29][160/1879] lr: 2.0000e-02 eta: 22:32:53 time: 0.8194 data_time: 0.0202 memory: 13723 grad_norm: 3.8604 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4695 loss: 1.4695 2022/08/09 02:10:36 - mmengine - INFO - Epoch(train) [29][180/1879] lr: 2.0000e-02 eta: 22:32:41 time: 0.5887 data_time: 0.0217 memory: 13723 grad_norm: 3.8963 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3437 loss: 1.3437 2022/08/09 02:10:49 - mmengine - INFO - Epoch(train) [29][200/1879] lr: 2.0000e-02 eta: 22:32:30 time: 0.6230 data_time: 0.0195 memory: 13723 grad_norm: 3.8673 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5232 loss: 1.5232 2022/08/09 02:11:00 - mmengine - INFO - Epoch(train) [29][220/1879] lr: 2.0000e-02 eta: 22:32:16 time: 0.5783 data_time: 0.0253 memory: 13723 grad_norm: 3.8197 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.2386 loss: 1.2386 2022/08/09 02:11:13 - mmengine - INFO - Epoch(train) [29][240/1879] lr: 2.0000e-02 eta: 22:32:05 time: 0.6167 data_time: 0.0184 memory: 13723 grad_norm: 3.9437 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4739 loss: 1.4739 2022/08/09 02:11:26 - mmengine - INFO - Epoch(train) [29][260/1879] lr: 2.0000e-02 eta: 22:31:57 time: 0.6833 data_time: 0.0224 memory: 13723 grad_norm: 3.7188 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4444 loss: 1.4444 2022/08/09 02:11:38 - mmengine - INFO - Epoch(train) [29][280/1879] lr: 2.0000e-02 eta: 22:31:45 time: 0.5840 data_time: 0.0196 memory: 13723 grad_norm: 3.7958 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5845 loss: 1.5845 2022/08/09 02:11:50 - mmengine - INFO - Epoch(train) [29][300/1879] lr: 2.0000e-02 eta: 22:31:34 time: 0.6209 data_time: 0.0215 memory: 13723 grad_norm: 3.8443 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5535 loss: 1.5535 2022/08/09 02:12:03 - mmengine - INFO - Epoch(train) [29][320/1879] lr: 2.0000e-02 eta: 22:31:22 time: 0.6115 data_time: 0.0206 memory: 13723 grad_norm: 3.8620 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4706 loss: 1.4706 2022/08/09 02:12:16 - mmengine - INFO - Epoch(train) [29][340/1879] lr: 2.0000e-02 eta: 22:31:15 time: 0.6880 data_time: 0.0244 memory: 13723 grad_norm: 3.9224 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6230 loss: 1.6230 2022/08/09 02:12:30 - mmengine - INFO - Epoch(train) [29][360/1879] lr: 2.0000e-02 eta: 22:31:06 time: 0.6760 data_time: 0.0152 memory: 13723 grad_norm: 3.7917 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5649 loss: 1.5649 2022/08/09 02:12:43 - mmengine - INFO - Epoch(train) [29][380/1879] lr: 2.0000e-02 eta: 22:30:58 time: 0.6711 data_time: 0.0220 memory: 13723 grad_norm: 3.9558 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7089 loss: 1.7089 2022/08/09 02:12:48 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 02:12:58 - mmengine - INFO - Epoch(train) [29][400/1879] lr: 2.0000e-02 eta: 22:30:52 time: 0.7149 data_time: 0.0182 memory: 13723 grad_norm: 3.8917 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3313 loss: 1.3313 2022/08/09 02:13:10 - mmengine - INFO - Epoch(train) [29][420/1879] lr: 2.0000e-02 eta: 22:30:40 time: 0.6008 data_time: 0.0193 memory: 13723 grad_norm: 3.8504 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6537 loss: 1.6537 2022/08/09 02:13:24 - mmengine - INFO - Epoch(train) [29][440/1879] lr: 2.0000e-02 eta: 22:30:34 time: 0.7342 data_time: 0.0186 memory: 13723 grad_norm: 3.9352 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3964 loss: 1.3964 2022/08/09 02:13:36 - mmengine - INFO - Epoch(train) [29][460/1879] lr: 2.0000e-02 eta: 22:30:22 time: 0.5852 data_time: 0.0230 memory: 13723 grad_norm: 3.9377 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5097 loss: 1.5097 2022/08/09 02:13:49 - mmengine - INFO - Epoch(train) [29][480/1879] lr: 2.0000e-02 eta: 22:30:12 time: 0.6405 data_time: 0.0185 memory: 13723 grad_norm: 3.8938 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5806 loss: 1.5806 2022/08/09 02:14:05 - mmengine - INFO - Epoch(train) [29][500/1879] lr: 2.0000e-02 eta: 22:30:10 time: 0.8057 data_time: 0.0221 memory: 13723 grad_norm: 3.8929 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3985 loss: 1.3985 2022/08/09 02:14:19 - mmengine - INFO - Epoch(train) [29][520/1879] lr: 2.0000e-02 eta: 22:30:02 time: 0.6869 data_time: 0.0202 memory: 13723 grad_norm: 3.9242 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6180 loss: 1.6180 2022/08/09 02:14:31 - mmengine - INFO - Epoch(train) [29][540/1879] lr: 2.0000e-02 eta: 22:29:52 time: 0.6394 data_time: 0.0188 memory: 13723 grad_norm: 3.6398 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5080 loss: 1.5080 2022/08/09 02:14:43 - mmengine - INFO - Epoch(train) [29][560/1879] lr: 2.0000e-02 eta: 22:29:39 time: 0.5786 data_time: 0.0222 memory: 13723 grad_norm: 3.8397 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5208 loss: 1.5208 2022/08/09 02:14:58 - mmengine - INFO - Epoch(train) [29][580/1879] lr: 2.0000e-02 eta: 22:29:34 time: 0.7298 data_time: 0.0235 memory: 13723 grad_norm: 3.9692 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6359 loss: 1.6359 2022/08/09 02:15:13 - mmengine - INFO - Epoch(train) [29][600/1879] lr: 2.0000e-02 eta: 22:29:31 time: 0.7903 data_time: 0.0178 memory: 13723 grad_norm: 3.8671 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3100 loss: 1.3100 2022/08/09 02:15:28 - mmengine - INFO - Epoch(train) [29][620/1879] lr: 2.0000e-02 eta: 22:29:26 time: 0.7377 data_time: 0.0206 memory: 13723 grad_norm: 3.7897 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4052 loss: 1.4052 2022/08/09 02:15:40 - mmengine - INFO - Epoch(train) [29][640/1879] lr: 2.0000e-02 eta: 22:29:13 time: 0.5726 data_time: 0.0210 memory: 13723 grad_norm: 3.8692 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.4624 loss: 1.4624 2022/08/09 02:15:55 - mmengine - INFO - Epoch(train) [29][660/1879] lr: 2.0000e-02 eta: 22:29:09 time: 0.7747 data_time: 0.0178 memory: 13723 grad_norm: 3.9035 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6039 loss: 1.6039 2022/08/09 02:16:07 - mmengine - INFO - Epoch(train) [29][680/1879] lr: 2.0000e-02 eta: 22:28:57 time: 0.6024 data_time: 0.0200 memory: 13723 grad_norm: 3.8746 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.5375 loss: 1.5375 2022/08/09 02:16:22 - mmengine - INFO - Epoch(train) [29][700/1879] lr: 2.0000e-02 eta: 22:28:51 time: 0.7198 data_time: 0.0235 memory: 13723 grad_norm: 3.9579 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5542 loss: 1.5542 2022/08/09 02:16:33 - mmengine - INFO - Epoch(train) [29][720/1879] lr: 2.0000e-02 eta: 22:28:37 time: 0.5649 data_time: 0.0181 memory: 13723 grad_norm: 3.9491 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5023 loss: 1.5023 2022/08/09 02:16:45 - mmengine - INFO - Epoch(train) [29][740/1879] lr: 2.0000e-02 eta: 22:28:27 time: 0.6240 data_time: 0.0307 memory: 13723 grad_norm: 3.8752 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4882 loss: 1.4882 2022/08/09 02:16:58 - mmengine - INFO - Epoch(train) [29][760/1879] lr: 2.0000e-02 eta: 22:28:16 time: 0.6295 data_time: 0.0692 memory: 13723 grad_norm: 3.9170 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5475 loss: 1.5475 2022/08/09 02:17:11 - mmengine - INFO - Epoch(train) [29][780/1879] lr: 2.0000e-02 eta: 22:28:05 time: 0.6297 data_time: 0.0213 memory: 13723 grad_norm: 3.9025 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6278 loss: 1.6278 2022/08/09 02:17:23 - mmengine - INFO - Epoch(train) [29][800/1879] lr: 2.0000e-02 eta: 22:27:54 time: 0.6049 data_time: 0.0194 memory: 13723 grad_norm: 3.8472 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3733 loss: 1.3733 2022/08/09 02:17:40 - mmengine - INFO - Epoch(train) [29][820/1879] lr: 2.0000e-02 eta: 22:27:55 time: 0.8703 data_time: 0.0198 memory: 13723 grad_norm: 3.9326 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3743 loss: 1.3743 2022/08/09 02:17:52 - mmengine - INFO - Epoch(train) [29][840/1879] lr: 2.0000e-02 eta: 22:27:43 time: 0.6035 data_time: 0.0214 memory: 13723 grad_norm: 3.9551 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5228 loss: 1.5228 2022/08/09 02:18:05 - mmengine - INFO - Epoch(train) [29][860/1879] lr: 2.0000e-02 eta: 22:27:34 time: 0.6584 data_time: 0.0207 memory: 13723 grad_norm: 3.9341 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4693 loss: 1.4693 2022/08/09 02:18:17 - mmengine - INFO - Epoch(train) [29][880/1879] lr: 2.0000e-02 eta: 22:27:20 time: 0.5704 data_time: 0.0226 memory: 13723 grad_norm: 3.8000 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4832 loss: 1.4832 2022/08/09 02:18:34 - mmengine - INFO - Epoch(train) [29][900/1879] lr: 2.0000e-02 eta: 22:27:20 time: 0.8428 data_time: 0.0191 memory: 13723 grad_norm: 3.8217 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5463 loss: 1.5463 2022/08/09 02:18:46 - mmengine - INFO - Epoch(train) [29][920/1879] lr: 2.0000e-02 eta: 22:27:10 time: 0.6266 data_time: 0.0206 memory: 13723 grad_norm: 3.8725 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5643 loss: 1.5643 2022/08/09 02:18:59 - mmengine - INFO - Epoch(train) [29][940/1879] lr: 2.0000e-02 eta: 22:27:00 time: 0.6512 data_time: 0.1036 memory: 13723 grad_norm: 3.8978 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4717 loss: 1.4717 2022/08/09 02:19:11 - mmengine - INFO - Epoch(train) [29][960/1879] lr: 2.0000e-02 eta: 22:26:46 time: 0.5644 data_time: 0.0175 memory: 13723 grad_norm: 3.9452 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5268 loss: 1.5268 2022/08/09 02:19:23 - mmengine - INFO - Epoch(train) [29][980/1879] lr: 2.0000e-02 eta: 22:26:35 time: 0.6161 data_time: 0.0698 memory: 13723 grad_norm: 3.8794 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4832 loss: 1.4832 2022/08/09 02:19:34 - mmengine - INFO - Epoch(train) [29][1000/1879] lr: 2.0000e-02 eta: 22:26:22 time: 0.5734 data_time: 0.0192 memory: 13723 grad_norm: 3.8690 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4073 loss: 1.4073 2022/08/09 02:19:47 - mmengine - INFO - Epoch(train) [29][1020/1879] lr: 2.0000e-02 eta: 22:26:11 time: 0.6343 data_time: 0.0239 memory: 13723 grad_norm: 3.9462 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5830 loss: 1.5830 2022/08/09 02:19:59 - mmengine - INFO - Epoch(train) [29][1040/1879] lr: 2.0000e-02 eta: 22:25:58 time: 0.5733 data_time: 0.0193 memory: 13723 grad_norm: 3.9183 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6330 loss: 1.6330 2022/08/09 02:20:11 - mmengine - INFO - Epoch(train) [29][1060/1879] lr: 2.0000e-02 eta: 22:25:46 time: 0.6019 data_time: 0.0238 memory: 13723 grad_norm: 3.7907 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2913 loss: 1.2913 2022/08/09 02:20:25 - mmengine - INFO - Epoch(train) [29][1080/1879] lr: 2.0000e-02 eta: 22:25:39 time: 0.7186 data_time: 0.0263 memory: 13723 grad_norm: 3.9706 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5889 loss: 1.5889 2022/08/09 02:20:38 - mmengine - INFO - Epoch(train) [29][1100/1879] lr: 2.0000e-02 eta: 22:25:29 time: 0.6272 data_time: 0.0224 memory: 13723 grad_norm: 3.9610 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4470 loss: 1.4470 2022/08/09 02:20:50 - mmengine - INFO - Epoch(train) [29][1120/1879] lr: 2.0000e-02 eta: 22:25:17 time: 0.6152 data_time: 0.0197 memory: 13723 grad_norm: 3.8963 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5223 loss: 1.5223 2022/08/09 02:21:02 - mmengine - INFO - Epoch(train) [29][1140/1879] lr: 2.0000e-02 eta: 22:25:06 time: 0.6245 data_time: 0.0218 memory: 13723 grad_norm: 3.8204 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3680 loss: 1.3680 2022/08/09 02:21:14 - mmengine - INFO - Epoch(train) [29][1160/1879] lr: 2.0000e-02 eta: 22:24:53 time: 0.5685 data_time: 0.0241 memory: 13723 grad_norm: 3.9857 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2718 loss: 1.2718 2022/08/09 02:21:25 - mmengine - INFO - Epoch(train) [29][1180/1879] lr: 2.0000e-02 eta: 22:24:39 time: 0.5733 data_time: 0.0239 memory: 13723 grad_norm: 3.8914 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3586 loss: 1.3586 2022/08/09 02:21:37 - mmengine - INFO - Epoch(train) [29][1200/1879] lr: 2.0000e-02 eta: 22:24:27 time: 0.5875 data_time: 0.0228 memory: 13723 grad_norm: 3.8608 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6354 loss: 1.6354 2022/08/09 02:21:48 - mmengine - INFO - Epoch(train) [29][1220/1879] lr: 2.0000e-02 eta: 22:24:13 time: 0.5709 data_time: 0.0229 memory: 13723 grad_norm: 4.0652 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5938 loss: 1.5938 2022/08/09 02:22:00 - mmengine - INFO - Epoch(train) [29][1240/1879] lr: 2.0000e-02 eta: 22:24:00 time: 0.5743 data_time: 0.0200 memory: 13723 grad_norm: 3.8342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5392 loss: 1.5392 2022/08/09 02:22:12 - mmengine - INFO - Epoch(train) [29][1260/1879] lr: 2.0000e-02 eta: 22:23:47 time: 0.5847 data_time: 0.0251 memory: 13723 grad_norm: 3.8851 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6413 loss: 1.6413 2022/08/09 02:22:23 - mmengine - INFO - Epoch(train) [29][1280/1879] lr: 2.0000e-02 eta: 22:23:34 time: 0.5948 data_time: 0.0209 memory: 13723 grad_norm: 3.8073 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3342 loss: 1.3342 2022/08/09 02:22:36 - mmengine - INFO - Epoch(train) [29][1300/1879] lr: 2.0000e-02 eta: 22:23:24 time: 0.6409 data_time: 0.0190 memory: 13723 grad_norm: 3.9493 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5641 loss: 1.5641 2022/08/09 02:22:48 - mmengine - INFO - Epoch(train) [29][1320/1879] lr: 2.0000e-02 eta: 22:23:11 time: 0.5798 data_time: 0.0214 memory: 13723 grad_norm: 3.8158 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6101 loss: 1.6101 2022/08/09 02:23:00 - mmengine - INFO - Epoch(train) [29][1340/1879] lr: 2.0000e-02 eta: 22:22:58 time: 0.5801 data_time: 0.0254 memory: 13723 grad_norm: 3.8754 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4676 loss: 1.4676 2022/08/09 02:23:11 - mmengine - INFO - Epoch(train) [29][1360/1879] lr: 2.0000e-02 eta: 22:22:45 time: 0.5802 data_time: 0.0230 memory: 13723 grad_norm: 3.8232 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.3729 loss: 1.3729 2022/08/09 02:23:23 - mmengine - INFO - Epoch(train) [29][1380/1879] lr: 2.0000e-02 eta: 22:22:32 time: 0.5724 data_time: 0.0212 memory: 13723 grad_norm: 3.8839 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3273 loss: 1.3273 2022/08/09 02:23:28 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 02:23:35 - mmengine - INFO - Epoch(train) [29][1400/1879] lr: 2.0000e-02 eta: 22:22:19 time: 0.5999 data_time: 0.0218 memory: 13723 grad_norm: 3.9338 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4968 loss: 1.4968 2022/08/09 02:23:46 - mmengine - INFO - Epoch(train) [29][1420/1879] lr: 2.0000e-02 eta: 22:22:06 time: 0.5687 data_time: 0.0234 memory: 13723 grad_norm: 3.8578 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5208 loss: 1.5208 2022/08/09 02:23:58 - mmengine - INFO - Epoch(train) [29][1440/1879] lr: 2.0000e-02 eta: 22:21:53 time: 0.5792 data_time: 0.0224 memory: 13723 grad_norm: 3.9259 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5140 loss: 1.5140 2022/08/09 02:24:09 - mmengine - INFO - Epoch(train) [29][1460/1879] lr: 2.0000e-02 eta: 22:21:39 time: 0.5708 data_time: 0.0241 memory: 13723 grad_norm: 3.8880 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5359 loss: 1.5359 2022/08/09 02:24:21 - mmengine - INFO - Epoch(train) [29][1480/1879] lr: 2.0000e-02 eta: 22:21:28 time: 0.6132 data_time: 0.0194 memory: 13723 grad_norm: 3.9713 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5399 loss: 1.5399 2022/08/09 02:24:33 - mmengine - INFO - Epoch(train) [29][1500/1879] lr: 2.0000e-02 eta: 22:21:14 time: 0.5690 data_time: 0.0217 memory: 13723 grad_norm: 3.8067 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5197 loss: 1.5197 2022/08/09 02:24:44 - mmengine - INFO - Epoch(train) [29][1520/1879] lr: 2.0000e-02 eta: 22:21:01 time: 0.5792 data_time: 0.0220 memory: 13723 grad_norm: 3.6937 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3148 loss: 1.3148 2022/08/09 02:24:56 - mmengine - INFO - Epoch(train) [29][1540/1879] lr: 2.0000e-02 eta: 22:20:48 time: 0.5861 data_time: 0.0223 memory: 13723 grad_norm: 3.9366 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5541 loss: 1.5541 2022/08/09 02:25:11 - mmengine - INFO - Epoch(train) [29][1560/1879] lr: 2.0000e-02 eta: 22:20:43 time: 0.7333 data_time: 0.0241 memory: 13723 grad_norm: 3.9677 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5138 loss: 1.5138 2022/08/09 02:25:22 - mmengine - INFO - Epoch(train) [29][1580/1879] lr: 2.0000e-02 eta: 22:20:30 time: 0.5910 data_time: 0.0242 memory: 13723 grad_norm: 3.9656 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.7340 loss: 1.7340 2022/08/09 02:25:34 - mmengine - INFO - Epoch(train) [29][1600/1879] lr: 2.0000e-02 eta: 22:20:17 time: 0.5835 data_time: 0.0222 memory: 13723 grad_norm: 3.8337 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4000 loss: 1.4000 2022/08/09 02:25:46 - mmengine - INFO - Epoch(train) [29][1620/1879] lr: 2.0000e-02 eta: 22:20:04 time: 0.5826 data_time: 0.0239 memory: 13723 grad_norm: 3.8073 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4438 loss: 1.4438 2022/08/09 02:25:57 - mmengine - INFO - Epoch(train) [29][1640/1879] lr: 2.0000e-02 eta: 22:19:51 time: 0.5824 data_time: 0.0222 memory: 13723 grad_norm: 3.9016 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4430 loss: 1.4430 2022/08/09 02:26:10 - mmengine - INFO - Epoch(train) [29][1660/1879] lr: 2.0000e-02 eta: 22:19:39 time: 0.6049 data_time: 0.0223 memory: 13723 grad_norm: 3.8804 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5216 loss: 1.5216 2022/08/09 02:26:21 - mmengine - INFO - Epoch(train) [29][1680/1879] lr: 2.0000e-02 eta: 22:19:26 time: 0.5678 data_time: 0.0219 memory: 13723 grad_norm: 3.9100 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5737 loss: 1.5737 2022/08/09 02:26:33 - mmengine - INFO - Epoch(train) [29][1700/1879] lr: 2.0000e-02 eta: 22:19:14 time: 0.6112 data_time: 0.0234 memory: 13723 grad_norm: 3.8979 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6481 loss: 1.6481 2022/08/09 02:26:45 - mmengine - INFO - Epoch(train) [29][1720/1879] lr: 2.0000e-02 eta: 22:19:01 time: 0.5741 data_time: 0.0199 memory: 13723 grad_norm: 3.8233 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6366 loss: 1.6366 2022/08/09 02:26:57 - mmengine - INFO - Epoch(train) [29][1740/1879] lr: 2.0000e-02 eta: 22:18:49 time: 0.6019 data_time: 0.0459 memory: 13723 grad_norm: 3.8287 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5542 loss: 1.5542 2022/08/09 02:27:08 - mmengine - INFO - Epoch(train) [29][1760/1879] lr: 2.0000e-02 eta: 22:18:36 time: 0.5817 data_time: 0.0222 memory: 13723 grad_norm: 3.9887 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4289 loss: 1.4289 2022/08/09 02:27:20 - mmengine - INFO - Epoch(train) [29][1780/1879] lr: 2.0000e-02 eta: 22:18:23 time: 0.5789 data_time: 0.0226 memory: 13723 grad_norm: 3.9339 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5554 loss: 1.5554 2022/08/09 02:27:32 - mmengine - INFO - Epoch(train) [29][1800/1879] lr: 2.0000e-02 eta: 22:18:09 time: 0.5810 data_time: 0.0228 memory: 13723 grad_norm: 3.8522 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4755 loss: 1.4755 2022/08/09 02:27:43 - mmengine - INFO - Epoch(train) [29][1820/1879] lr: 2.0000e-02 eta: 22:17:56 time: 0.5788 data_time: 0.0223 memory: 13723 grad_norm: 3.9803 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4631 loss: 1.4631 2022/08/09 02:27:56 - mmengine - INFO - Epoch(train) [29][1840/1879] lr: 2.0000e-02 eta: 22:17:46 time: 0.6446 data_time: 0.0209 memory: 13723 grad_norm: 3.8024 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4916 loss: 1.4916 2022/08/09 02:28:09 - mmengine - INFO - Epoch(train) [29][1860/1879] lr: 2.0000e-02 eta: 22:17:37 time: 0.6481 data_time: 0.0193 memory: 13723 grad_norm: 3.9183 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7464 loss: 1.7464 2022/08/09 02:28:20 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 02:28:20 - mmengine - INFO - Epoch(train) [29][1879/1879] lr: 2.0000e-02 eta: 22:17:37 time: 0.5594 data_time: 0.0190 memory: 13723 grad_norm: 3.8477 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.5422 loss: 1.5422 2022/08/09 02:28:33 - mmengine - INFO - Epoch(val) [29][20/155] eta: 0:01:29 time: 0.6614 data_time: 0.5215 memory: 1829 2022/08/09 02:28:45 - mmengine - INFO - Epoch(val) [29][40/155] eta: 0:01:08 time: 0.5915 data_time: 0.4530 memory: 1829 2022/08/09 02:28:56 - mmengine - INFO - Epoch(val) [29][60/155] eta: 0:00:51 time: 0.5465 data_time: 0.4080 memory: 1829 2022/08/09 02:29:09 - mmengine - INFO - Epoch(val) [29][80/155] eta: 0:00:50 time: 0.6676 data_time: 0.5277 memory: 1829 2022/08/09 02:29:19 - mmengine - INFO - Epoch(val) [29][100/155] eta: 0:00:28 time: 0.5105 data_time: 0.3719 memory: 1829 2022/08/09 02:29:35 - mmengine - INFO - Epoch(val) [29][120/155] eta: 0:00:26 time: 0.7657 data_time: 0.6272 memory: 1829 2022/08/09 02:29:42 - mmengine - INFO - Epoch(val) [29][140/155] eta: 0:00:05 time: 0.3524 data_time: 0.2174 memory: 1829 2022/08/09 02:29:53 - mmengine - INFO - Epoch(val) [29][155/155] acc/top1: 0.6182 acc/top5: 0.8459 acc/mean1: 0.6180 2022/08/09 02:30:17 - mmengine - INFO - Epoch(train) [30][20/1879] lr: 2.0000e-02 eta: 22:17:15 time: 1.2087 data_time: 0.1939 memory: 13723 grad_norm: 3.6851 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1719 loss: 1.1719 2022/08/09 02:30:29 - mmengine - INFO - Epoch(train) [30][40/1879] lr: 2.0000e-02 eta: 22:17:02 time: 0.5803 data_time: 0.0268 memory: 13723 grad_norm: 3.9456 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5971 loss: 1.5971 2022/08/09 02:30:41 - mmengine - INFO - Epoch(train) [30][60/1879] lr: 2.0000e-02 eta: 22:16:50 time: 0.6033 data_time: 0.0246 memory: 13723 grad_norm: 3.8881 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5138 loss: 1.5138 2022/08/09 02:30:52 - mmengine - INFO - Epoch(train) [30][80/1879] lr: 2.0000e-02 eta: 22:16:36 time: 0.5672 data_time: 0.0241 memory: 13723 grad_norm: 3.8576 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3345 loss: 1.3345 2022/08/09 02:31:05 - mmengine - INFO - Epoch(train) [30][100/1879] lr: 2.0000e-02 eta: 22:16:26 time: 0.6410 data_time: 0.0220 memory: 13723 grad_norm: 3.9570 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4447 loss: 1.4447 2022/08/09 02:31:18 - mmengine - INFO - Epoch(train) [30][120/1879] lr: 2.0000e-02 eta: 22:16:18 time: 0.6743 data_time: 0.0185 memory: 13723 grad_norm: 3.8868 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3306 loss: 1.3306 2022/08/09 02:31:30 - mmengine - INFO - Epoch(train) [30][140/1879] lr: 2.0000e-02 eta: 22:16:04 time: 0.5583 data_time: 0.0207 memory: 13723 grad_norm: 3.9598 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.3556 loss: 1.3556 2022/08/09 02:31:41 - mmengine - INFO - Epoch(train) [30][160/1879] lr: 2.0000e-02 eta: 22:15:50 time: 0.5778 data_time: 0.0246 memory: 13723 grad_norm: 3.9078 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5101 loss: 1.5101 2022/08/09 02:31:53 - mmengine - INFO - Epoch(train) [30][180/1879] lr: 2.0000e-02 eta: 22:15:37 time: 0.5790 data_time: 0.0256 memory: 13723 grad_norm: 3.9653 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3929 loss: 1.3929 2022/08/09 02:32:04 - mmengine - INFO - Epoch(train) [30][200/1879] lr: 2.0000e-02 eta: 22:15:24 time: 0.5755 data_time: 0.0220 memory: 13723 grad_norm: 3.8540 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3863 loss: 1.3863 2022/08/09 02:32:16 - mmengine - INFO - Epoch(train) [30][220/1879] lr: 2.0000e-02 eta: 22:15:11 time: 0.5822 data_time: 0.0283 memory: 13723 grad_norm: 3.8815 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4554 loss: 1.4554 2022/08/09 02:32:28 - mmengine - INFO - Epoch(train) [30][240/1879] lr: 2.0000e-02 eta: 22:14:59 time: 0.6025 data_time: 0.0207 memory: 13723 grad_norm: 3.9076 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.5486 loss: 1.5486 2022/08/09 02:32:40 - mmengine - INFO - Epoch(train) [30][260/1879] lr: 2.0000e-02 eta: 22:14:46 time: 0.5816 data_time: 0.0266 memory: 13723 grad_norm: 3.8233 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4689 loss: 1.4689 2022/08/09 02:32:52 - mmengine - INFO - Epoch(train) [30][280/1879] lr: 2.0000e-02 eta: 22:14:35 time: 0.6317 data_time: 0.0180 memory: 13723 grad_norm: 3.8788 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2950 loss: 1.2950 2022/08/09 02:33:04 - mmengine - INFO - Epoch(train) [30][300/1879] lr: 2.0000e-02 eta: 22:14:22 time: 0.5684 data_time: 0.0225 memory: 13723 grad_norm: 3.9444 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6146 loss: 1.6146 2022/08/09 02:33:16 - mmengine - INFO - Epoch(train) [30][320/1879] lr: 2.0000e-02 eta: 22:14:11 time: 0.6338 data_time: 0.0244 memory: 13723 grad_norm: 3.9112 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4329 loss: 1.4329 2022/08/09 02:33:28 - mmengine - INFO - Epoch(train) [30][340/1879] lr: 2.0000e-02 eta: 22:13:58 time: 0.5752 data_time: 0.0215 memory: 13723 grad_norm: 3.8662 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4466 loss: 1.4466 2022/08/09 02:33:39 - mmengine - INFO - Epoch(train) [30][360/1879] lr: 2.0000e-02 eta: 22:13:44 time: 0.5650 data_time: 0.0189 memory: 13723 grad_norm: 3.8383 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5045 loss: 1.5045 2022/08/09 02:33:51 - mmengine - INFO - Epoch(train) [30][380/1879] lr: 2.0000e-02 eta: 22:13:31 time: 0.5742 data_time: 0.0254 memory: 13723 grad_norm: 3.8692 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4314 loss: 1.4314 2022/08/09 02:34:03 - mmengine - INFO - Epoch(train) [30][400/1879] lr: 2.0000e-02 eta: 22:13:19 time: 0.6069 data_time: 0.0195 memory: 13723 grad_norm: 3.8483 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4014 loss: 1.4014 2022/08/09 02:34:14 - mmengine - INFO - Epoch(train) [30][420/1879] lr: 2.0000e-02 eta: 22:13:06 time: 0.5872 data_time: 0.0223 memory: 13723 grad_norm: 3.8395 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6293 loss: 1.6293 2022/08/09 02:34:27 - mmengine - INFO - Epoch(train) [30][440/1879] lr: 2.0000e-02 eta: 22:12:54 time: 0.6039 data_time: 0.0226 memory: 13723 grad_norm: 3.8518 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4307 loss: 1.4307 2022/08/09 02:34:39 - mmengine - INFO - Epoch(train) [30][460/1879] lr: 2.0000e-02 eta: 22:12:43 time: 0.6213 data_time: 0.0218 memory: 13723 grad_norm: 3.8234 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4407 loss: 1.4407 2022/08/09 02:34:50 - mmengine - INFO - Epoch(train) [30][480/1879] lr: 2.0000e-02 eta: 22:12:30 time: 0.5687 data_time: 0.0195 memory: 13723 grad_norm: 3.8812 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3126 loss: 1.3126 2022/08/09 02:35:03 - mmengine - INFO - Epoch(train) [30][500/1879] lr: 2.0000e-02 eta: 22:12:19 time: 0.6354 data_time: 0.0229 memory: 13723 grad_norm: 3.8968 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6535 loss: 1.6535 2022/08/09 02:35:13 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 02:35:19 - mmengine - INFO - Epoch(train) [30][520/1879] lr: 2.0000e-02 eta: 22:12:16 time: 0.7886 data_time: 0.0740 memory: 13723 grad_norm: 3.9813 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5789 loss: 1.5789 2022/08/09 02:35:30 - mmengine - INFO - Epoch(train) [30][540/1879] lr: 2.0000e-02 eta: 22:12:03 time: 0.5772 data_time: 0.0211 memory: 13723 grad_norm: 3.8098 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5547 loss: 1.5547 2022/08/09 02:35:42 - mmengine - INFO - Epoch(train) [30][560/1879] lr: 2.0000e-02 eta: 22:11:50 time: 0.5786 data_time: 0.0245 memory: 13723 grad_norm: 3.9190 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4433 loss: 1.4433 2022/08/09 02:35:53 - mmengine - INFO - Epoch(train) [30][580/1879] lr: 2.0000e-02 eta: 22:11:36 time: 0.5664 data_time: 0.0227 memory: 13723 grad_norm: 3.8730 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2872 loss: 1.2872 2022/08/09 02:36:05 - mmengine - INFO - Epoch(train) [30][600/1879] lr: 2.0000e-02 eta: 22:11:23 time: 0.5764 data_time: 0.0233 memory: 13723 grad_norm: 3.9073 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5533 loss: 1.5533 2022/08/09 02:36:16 - mmengine - INFO - Epoch(train) [30][620/1879] lr: 2.0000e-02 eta: 22:11:10 time: 0.5770 data_time: 0.0262 memory: 13723 grad_norm: 3.9134 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4532 loss: 1.4532 2022/08/09 02:36:28 - mmengine - INFO - Epoch(train) [30][640/1879] lr: 2.0000e-02 eta: 22:10:57 time: 0.5854 data_time: 0.0209 memory: 13723 grad_norm: 3.8298 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4432 loss: 1.4432 2022/08/09 02:36:40 - mmengine - INFO - Epoch(train) [30][660/1879] lr: 2.0000e-02 eta: 22:10:44 time: 0.5848 data_time: 0.0250 memory: 13723 grad_norm: 3.7901 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3816 loss: 1.3816 2022/08/09 02:36:52 - mmengine - INFO - Epoch(train) [30][680/1879] lr: 2.0000e-02 eta: 22:10:31 time: 0.5854 data_time: 0.0194 memory: 13723 grad_norm: 3.7752 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4760 loss: 1.4760 2022/08/09 02:37:04 - mmengine - INFO - Epoch(train) [30][700/1879] lr: 2.0000e-02 eta: 22:10:20 time: 0.6072 data_time: 0.0238 memory: 13723 grad_norm: 3.8394 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4919 loss: 1.4919 2022/08/09 02:37:15 - mmengine - INFO - Epoch(train) [30][720/1879] lr: 2.0000e-02 eta: 22:10:07 time: 0.5793 data_time: 0.0192 memory: 13723 grad_norm: 3.8795 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5799 loss: 1.5799 2022/08/09 02:37:27 - mmengine - INFO - Epoch(train) [30][740/1879] lr: 2.0000e-02 eta: 22:09:53 time: 0.5732 data_time: 0.0227 memory: 13723 grad_norm: 3.9092 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4044 loss: 1.4044 2022/08/09 02:37:38 - mmengine - INFO - Epoch(train) [30][760/1879] lr: 2.0000e-02 eta: 22:09:40 time: 0.5727 data_time: 0.0237 memory: 13723 grad_norm: 3.8802 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.6524 loss: 1.6524 2022/08/09 02:37:53 - mmengine - INFO - Epoch(train) [30][780/1879] lr: 2.0000e-02 eta: 22:09:34 time: 0.7234 data_time: 0.0344 memory: 13723 grad_norm: 3.9222 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4619 loss: 1.4619 2022/08/09 02:38:04 - mmengine - INFO - Epoch(train) [30][800/1879] lr: 2.0000e-02 eta: 22:09:20 time: 0.5677 data_time: 0.0217 memory: 13723 grad_norm: 3.9281 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5494 loss: 1.5494 2022/08/09 02:38:16 - mmengine - INFO - Epoch(train) [30][820/1879] lr: 2.0000e-02 eta: 22:09:07 time: 0.5806 data_time: 0.0262 memory: 13723 grad_norm: 3.8084 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4523 loss: 1.4523 2022/08/09 02:38:28 - mmengine - INFO - Epoch(train) [30][840/1879] lr: 2.0000e-02 eta: 22:08:56 time: 0.6190 data_time: 0.0235 memory: 13723 grad_norm: 3.7472 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5779 loss: 1.5779 2022/08/09 02:38:39 - mmengine - INFO - Epoch(train) [30][860/1879] lr: 2.0000e-02 eta: 22:08:42 time: 0.5684 data_time: 0.0259 memory: 13723 grad_norm: 3.7860 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4505 loss: 1.4505 2022/08/09 02:38:51 - mmengine - INFO - Epoch(train) [30][880/1879] lr: 2.0000e-02 eta: 22:08:29 time: 0.5699 data_time: 0.0220 memory: 13723 grad_norm: 3.8126 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3426 loss: 1.3426 2022/08/09 02:39:03 - mmengine - INFO - Epoch(train) [30][900/1879] lr: 2.0000e-02 eta: 22:08:16 time: 0.5988 data_time: 0.0269 memory: 13723 grad_norm: 3.9439 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5044 loss: 1.5044 2022/08/09 02:39:14 - mmengine - INFO - Epoch(train) [30][920/1879] lr: 2.0000e-02 eta: 22:08:03 time: 0.5773 data_time: 0.0187 memory: 13723 grad_norm: 3.9764 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6256 loss: 1.6256 2022/08/09 02:39:26 - mmengine - INFO - Epoch(train) [30][940/1879] lr: 2.0000e-02 eta: 22:07:50 time: 0.5659 data_time: 0.0227 memory: 13723 grad_norm: 3.8142 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4525 loss: 1.4525 2022/08/09 02:39:37 - mmengine - INFO - Epoch(train) [30][960/1879] lr: 2.0000e-02 eta: 22:07:36 time: 0.5740 data_time: 0.0239 memory: 13723 grad_norm: 3.8207 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5006 loss: 1.5006 2022/08/09 02:39:49 - mmengine - INFO - Epoch(train) [30][980/1879] lr: 2.0000e-02 eta: 22:07:23 time: 0.5751 data_time: 0.0226 memory: 13723 grad_norm: 3.7555 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3428 loss: 1.3428 2022/08/09 02:40:00 - mmengine - INFO - Epoch(train) [30][1000/1879] lr: 2.0000e-02 eta: 22:07:09 time: 0.5712 data_time: 0.0217 memory: 13723 grad_norm: 4.0085 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6386 loss: 1.6386 2022/08/09 02:40:15 - mmengine - INFO - Epoch(train) [30][1020/1879] lr: 2.0000e-02 eta: 22:07:04 time: 0.7431 data_time: 0.0231 memory: 13723 grad_norm: 3.9282 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5176 loss: 1.5176 2022/08/09 02:40:29 - mmengine - INFO - Epoch(train) [30][1040/1879] lr: 2.0000e-02 eta: 22:06:56 time: 0.6824 data_time: 0.0211 memory: 13723 grad_norm: 3.8616 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2911 loss: 1.2911 2022/08/09 02:40:41 - mmengine - INFO - Epoch(train) [30][1060/1879] lr: 2.0000e-02 eta: 22:06:44 time: 0.5992 data_time: 0.0201 memory: 13723 grad_norm: 3.8386 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4692 loss: 1.4692 2022/08/09 02:40:52 - mmengine - INFO - Epoch(train) [30][1080/1879] lr: 2.0000e-02 eta: 22:06:31 time: 0.5794 data_time: 0.0227 memory: 13723 grad_norm: 3.8208 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4126 loss: 1.4126 2022/08/09 02:41:04 - mmengine - INFO - Epoch(train) [30][1100/1879] lr: 2.0000e-02 eta: 22:06:18 time: 0.5785 data_time: 0.0260 memory: 13723 grad_norm: 3.9651 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5261 loss: 1.5261 2022/08/09 02:41:15 - mmengine - INFO - Epoch(train) [30][1120/1879] lr: 2.0000e-02 eta: 22:06:05 time: 0.5796 data_time: 0.0203 memory: 13723 grad_norm: 3.8949 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4653 loss: 1.4653 2022/08/09 02:41:27 - mmengine - INFO - Epoch(train) [30][1140/1879] lr: 2.0000e-02 eta: 22:05:51 time: 0.5725 data_time: 0.0248 memory: 13723 grad_norm: 3.8759 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5311 loss: 1.5311 2022/08/09 02:41:39 - mmengine - INFO - Epoch(train) [30][1160/1879] lr: 2.0000e-02 eta: 22:05:38 time: 0.5815 data_time: 0.0220 memory: 13723 grad_norm: 3.8583 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5890 loss: 1.5890 2022/08/09 02:41:50 - mmengine - INFO - Epoch(train) [30][1180/1879] lr: 2.0000e-02 eta: 22:05:25 time: 0.5839 data_time: 0.0262 memory: 13723 grad_norm: 3.8761 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5994 loss: 1.5994 2022/08/09 02:42:02 - mmengine - INFO - Epoch(train) [30][1200/1879] lr: 2.0000e-02 eta: 22:05:12 time: 0.5673 data_time: 0.0218 memory: 13723 grad_norm: 3.8762 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5092 loss: 1.5092 2022/08/09 02:42:13 - mmengine - INFO - Epoch(train) [30][1220/1879] lr: 2.0000e-02 eta: 22:04:58 time: 0.5739 data_time: 0.0245 memory: 13723 grad_norm: 3.8147 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4542 loss: 1.4542 2022/08/09 02:42:25 - mmengine - INFO - Epoch(train) [30][1240/1879] lr: 2.0000e-02 eta: 22:04:45 time: 0.5830 data_time: 0.0219 memory: 13723 grad_norm: 3.8626 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4286 loss: 1.4286 2022/08/09 02:42:36 - mmengine - INFO - Epoch(train) [30][1260/1879] lr: 2.0000e-02 eta: 22:04:33 time: 0.5816 data_time: 0.0252 memory: 13723 grad_norm: 3.8803 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6831 loss: 1.6831 2022/08/09 02:42:48 - mmengine - INFO - Epoch(train) [30][1280/1879] lr: 2.0000e-02 eta: 22:04:20 time: 0.5841 data_time: 0.0205 memory: 13723 grad_norm: 3.8896 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4545 loss: 1.4545 2022/08/09 02:43:00 - mmengine - INFO - Epoch(train) [30][1300/1879] lr: 2.0000e-02 eta: 22:04:08 time: 0.6085 data_time: 0.0262 memory: 13723 grad_norm: 3.7914 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6552 loss: 1.6552 2022/08/09 02:43:12 - mmengine - INFO - Epoch(train) [30][1320/1879] lr: 2.0000e-02 eta: 22:03:55 time: 0.5710 data_time: 0.0179 memory: 13723 grad_norm: 3.8548 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4345 loss: 1.4345 2022/08/09 02:43:23 - mmengine - INFO - Epoch(train) [30][1340/1879] lr: 2.0000e-02 eta: 22:03:42 time: 0.5807 data_time: 0.0247 memory: 13723 grad_norm: 3.9346 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6881 loss: 1.6881 2022/08/09 02:43:35 - mmengine - INFO - Epoch(train) [30][1360/1879] lr: 2.0000e-02 eta: 22:03:28 time: 0.5708 data_time: 0.0211 memory: 13723 grad_norm: 3.9069 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6610 loss: 1.6610 2022/08/09 02:43:46 - mmengine - INFO - Epoch(train) [30][1380/1879] lr: 2.0000e-02 eta: 22:03:14 time: 0.5692 data_time: 0.0222 memory: 13723 grad_norm: 3.8876 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5096 loss: 1.5096 2022/08/09 02:43:58 - mmengine - INFO - Epoch(train) [30][1400/1879] lr: 2.0000e-02 eta: 22:03:01 time: 0.5781 data_time: 0.0226 memory: 13723 grad_norm: 3.8555 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4170 loss: 1.4170 2022/08/09 02:44:10 - mmengine - INFO - Epoch(train) [30][1420/1879] lr: 2.0000e-02 eta: 22:02:51 time: 0.6374 data_time: 0.0239 memory: 13723 grad_norm: 3.9849 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5499 loss: 1.5499 2022/08/09 02:44:22 - mmengine - INFO - Epoch(train) [30][1440/1879] lr: 2.0000e-02 eta: 22:02:38 time: 0.5881 data_time: 0.0441 memory: 13723 grad_norm: 3.9526 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5126 loss: 1.5126 2022/08/09 02:44:35 - mmengine - INFO - Epoch(train) [30][1460/1879] lr: 2.0000e-02 eta: 22:02:28 time: 0.6395 data_time: 0.0196 memory: 13723 grad_norm: 3.8799 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7422 loss: 1.7422 2022/08/09 02:44:47 - mmengine - INFO - Epoch(train) [30][1480/1879] lr: 2.0000e-02 eta: 22:02:15 time: 0.5778 data_time: 0.0234 memory: 13723 grad_norm: 3.8294 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6279 loss: 1.6279 2022/08/09 02:44:58 - mmengine - INFO - Epoch(train) [30][1500/1879] lr: 2.0000e-02 eta: 22:02:02 time: 0.5889 data_time: 0.0213 memory: 13723 grad_norm: 3.8349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3703 loss: 1.3703 2022/08/09 02:45:03 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 02:45:11 - mmengine - INFO - Epoch(train) [30][1520/1879] lr: 2.0000e-02 eta: 22:01:53 time: 0.6524 data_time: 0.0206 memory: 13723 grad_norm: 3.7946 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4845 loss: 1.4845 2022/08/09 02:45:24 - mmengine - INFO - Epoch(train) [30][1540/1879] lr: 2.0000e-02 eta: 22:01:41 time: 0.6022 data_time: 0.0249 memory: 13723 grad_norm: 3.8823 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5316 loss: 1.5316 2022/08/09 02:45:36 - mmengine - INFO - Epoch(train) [30][1560/1879] lr: 2.0000e-02 eta: 22:01:30 time: 0.6317 data_time: 0.0187 memory: 13723 grad_norm: 3.8859 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5501 loss: 1.5501 2022/08/09 02:45:48 - mmengine - INFO - Epoch(train) [30][1580/1879] lr: 2.0000e-02 eta: 22:01:17 time: 0.5695 data_time: 0.0234 memory: 13723 grad_norm: 3.8875 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5143 loss: 1.5143 2022/08/09 02:46:00 - mmengine - INFO - Epoch(train) [30][1600/1879] lr: 2.0000e-02 eta: 22:01:06 time: 0.6405 data_time: 0.0218 memory: 13723 grad_norm: 3.8543 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4911 loss: 1.4911 2022/08/09 02:46:12 - mmengine - INFO - Epoch(train) [30][1620/1879] lr: 2.0000e-02 eta: 22:00:53 time: 0.5711 data_time: 0.0222 memory: 13723 grad_norm: 3.8516 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5885 loss: 1.5885 2022/08/09 02:46:24 - mmengine - INFO - Epoch(train) [30][1640/1879] lr: 2.0000e-02 eta: 22:00:41 time: 0.5963 data_time: 0.0536 memory: 13723 grad_norm: 3.9078 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7586 loss: 1.7586 2022/08/09 02:46:35 - mmengine - INFO - Epoch(train) [30][1660/1879] lr: 2.0000e-02 eta: 22:00:27 time: 0.5713 data_time: 0.0210 memory: 13723 grad_norm: 3.8599 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4784 loss: 1.4784 2022/08/09 02:46:47 - mmengine - INFO - Epoch(train) [30][1680/1879] lr: 2.0000e-02 eta: 22:00:14 time: 0.5833 data_time: 0.0221 memory: 13723 grad_norm: 3.8949 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3421 loss: 1.3421 2022/08/09 02:46:58 - mmengine - INFO - Epoch(train) [30][1700/1879] lr: 2.0000e-02 eta: 22:00:01 time: 0.5776 data_time: 0.0233 memory: 13723 grad_norm: 3.8527 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4648 loss: 1.4648 2022/08/09 02:47:11 - mmengine - INFO - Epoch(train) [30][1720/1879] lr: 2.0000e-02 eta: 21:59:51 time: 0.6310 data_time: 0.0206 memory: 13723 grad_norm: 3.8860 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3439 loss: 1.3439 2022/08/09 02:47:22 - mmengine - INFO - Epoch(train) [30][1740/1879] lr: 2.0000e-02 eta: 21:59:37 time: 0.5678 data_time: 0.0233 memory: 13723 grad_norm: 3.9616 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6004 loss: 1.6004 2022/08/09 02:47:34 - mmengine - INFO - Epoch(train) [30][1760/1879] lr: 2.0000e-02 eta: 21:59:25 time: 0.5995 data_time: 0.0183 memory: 13723 grad_norm: 4.0086 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5566 loss: 1.5566 2022/08/09 02:47:46 - mmengine - INFO - Epoch(train) [30][1780/1879] lr: 2.0000e-02 eta: 21:59:12 time: 0.5710 data_time: 0.0233 memory: 13723 grad_norm: 3.9110 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4193 loss: 1.4193 2022/08/09 02:47:59 - mmengine - INFO - Epoch(train) [30][1800/1879] lr: 2.0000e-02 eta: 21:59:01 time: 0.6368 data_time: 0.0215 memory: 13723 grad_norm: 3.8814 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4975 loss: 1.4975 2022/08/09 02:48:10 - mmengine - INFO - Epoch(train) [30][1820/1879] lr: 2.0000e-02 eta: 21:58:47 time: 0.5655 data_time: 0.0232 memory: 13723 grad_norm: 3.8310 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5191 loss: 1.5191 2022/08/09 02:48:21 - mmengine - INFO - Epoch(train) [30][1840/1879] lr: 2.0000e-02 eta: 21:58:34 time: 0.5728 data_time: 0.0207 memory: 13723 grad_norm: 3.8542 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7694 loss: 1.7694 2022/08/09 02:48:33 - mmengine - INFO - Epoch(train) [30][1860/1879] lr: 2.0000e-02 eta: 21:58:21 time: 0.5723 data_time: 0.0244 memory: 13723 grad_norm: 3.8730 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5867 loss: 1.5867 2022/08/09 02:48:43 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 02:48:43 - mmengine - INFO - Epoch(train) [30][1879/1879] lr: 2.0000e-02 eta: 21:58:21 time: 0.5347 data_time: 0.0178 memory: 13723 grad_norm: 3.9529 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.4280 loss: 1.4280 2022/08/09 02:48:43 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/08/09 02:48:59 - mmengine - INFO - Epoch(val) [30][20/155] eta: 0:01:39 time: 0.7338 data_time: 0.5941 memory: 1829 2022/08/09 02:49:08 - mmengine - INFO - Epoch(val) [30][40/155] eta: 0:00:49 time: 0.4321 data_time: 0.2933 memory: 1829 2022/08/09 02:49:21 - mmengine - INFO - Epoch(val) [30][60/155] eta: 0:01:03 time: 0.6646 data_time: 0.5249 memory: 1829 2022/08/09 02:49:32 - mmengine - INFO - Epoch(val) [30][80/155] eta: 0:00:39 time: 0.5283 data_time: 0.3889 memory: 1829 2022/08/09 02:49:45 - mmengine - INFO - Epoch(val) [30][100/155] eta: 0:00:35 time: 0.6394 data_time: 0.4951 memory: 1829 2022/08/09 02:49:54 - mmengine - INFO - Epoch(val) [30][120/155] eta: 0:00:16 time: 0.4573 data_time: 0.3178 memory: 1829 2022/08/09 02:50:10 - mmengine - INFO - Epoch(val) [30][140/155] eta: 0:00:12 time: 0.8367 data_time: 0.6990 memory: 1829 2022/08/09 02:50:19 - mmengine - INFO - Epoch(val) [30][155/155] acc/top1: 0.6226 acc/top5: 0.8466 acc/mean1: 0.6224 2022/08/09 02:50:37 - mmengine - INFO - Epoch(train) [31][20/1879] lr: 2.0000e-02 eta: 21:57:43 time: 0.8663 data_time: 0.2597 memory: 13723 grad_norm: 3.6414 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4070 loss: 1.4070 2022/08/09 02:50:48 - mmengine - INFO - Epoch(train) [31][40/1879] lr: 2.0000e-02 eta: 21:57:30 time: 0.5803 data_time: 0.0256 memory: 13723 grad_norm: 3.7064 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4014 loss: 1.4014 2022/08/09 02:51:00 - mmengine - INFO - Epoch(train) [31][60/1879] lr: 2.0000e-02 eta: 21:57:17 time: 0.5827 data_time: 0.0239 memory: 13723 grad_norm: 3.7525 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4021 loss: 1.4021 2022/08/09 02:51:11 - mmengine - INFO - Epoch(train) [31][80/1879] lr: 2.0000e-02 eta: 21:57:04 time: 0.5690 data_time: 0.0238 memory: 13723 grad_norm: 3.7923 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3164 loss: 1.3164 2022/08/09 02:51:23 - mmengine - INFO - Epoch(train) [31][100/1879] lr: 2.0000e-02 eta: 21:56:50 time: 0.5759 data_time: 0.0226 memory: 13723 grad_norm: 3.8927 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4344 loss: 1.4344 2022/08/09 02:51:36 - mmengine - INFO - Epoch(train) [31][120/1879] lr: 2.0000e-02 eta: 21:56:40 time: 0.6372 data_time: 0.0219 memory: 13723 grad_norm: 3.7766 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4288 loss: 1.4288 2022/08/09 02:51:47 - mmengine - INFO - Epoch(train) [31][140/1879] lr: 2.0000e-02 eta: 21:56:26 time: 0.5674 data_time: 0.0209 memory: 13723 grad_norm: 3.8951 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3226 loss: 1.3226 2022/08/09 02:51:59 - mmengine - INFO - Epoch(train) [31][160/1879] lr: 2.0000e-02 eta: 21:56:15 time: 0.6203 data_time: 0.0214 memory: 13723 grad_norm: 3.8219 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4342 loss: 1.4342 2022/08/09 02:52:11 - mmengine - INFO - Epoch(train) [31][180/1879] lr: 2.0000e-02 eta: 21:56:02 time: 0.5665 data_time: 0.0214 memory: 13723 grad_norm: 3.8221 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.5496 loss: 1.5496 2022/08/09 02:52:22 - mmengine - INFO - Epoch(train) [31][200/1879] lr: 2.0000e-02 eta: 21:55:49 time: 0.5793 data_time: 0.0238 memory: 13723 grad_norm: 3.9543 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4760 loss: 1.4760 2022/08/09 02:52:34 - mmengine - INFO - Epoch(train) [31][220/1879] lr: 2.0000e-02 eta: 21:55:35 time: 0.5690 data_time: 0.0237 memory: 13723 grad_norm: 4.0300 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2055 loss: 1.2055 2022/08/09 02:52:45 - mmengine - INFO - Epoch(train) [31][240/1879] lr: 2.0000e-02 eta: 21:55:22 time: 0.5716 data_time: 0.0230 memory: 13723 grad_norm: 3.9059 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4137 loss: 1.4137 2022/08/09 02:52:57 - mmengine - INFO - Epoch(train) [31][260/1879] lr: 2.0000e-02 eta: 21:55:09 time: 0.5766 data_time: 0.0236 memory: 13723 grad_norm: 3.8653 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2800 loss: 1.2800 2022/08/09 02:53:08 - mmengine - INFO - Epoch(train) [31][280/1879] lr: 2.0000e-02 eta: 21:54:55 time: 0.5776 data_time: 0.0223 memory: 13723 grad_norm: 3.8387 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5003 loss: 1.5003 2022/08/09 02:53:20 - mmengine - INFO - Epoch(train) [31][300/1879] lr: 2.0000e-02 eta: 21:54:42 time: 0.5759 data_time: 0.0222 memory: 13723 grad_norm: 3.8842 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4722 loss: 1.4722 2022/08/09 02:53:32 - mmengine - INFO - Epoch(train) [31][320/1879] lr: 2.0000e-02 eta: 21:54:31 time: 0.6102 data_time: 0.0215 memory: 13723 grad_norm: 3.9390 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3682 loss: 1.3682 2022/08/09 02:53:43 - mmengine - INFO - Epoch(train) [31][340/1879] lr: 2.0000e-02 eta: 21:54:17 time: 0.5716 data_time: 0.0216 memory: 13723 grad_norm: 3.8795 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6452 loss: 1.6452 2022/08/09 02:53:55 - mmengine - INFO - Epoch(train) [31][360/1879] lr: 2.0000e-02 eta: 21:54:04 time: 0.5744 data_time: 0.0243 memory: 13723 grad_norm: 3.9273 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3361 loss: 1.3361 2022/08/09 02:54:06 - mmengine - INFO - Epoch(train) [31][380/1879] lr: 2.0000e-02 eta: 21:53:51 time: 0.5689 data_time: 0.0224 memory: 13723 grad_norm: 3.8892 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4379 loss: 1.4379 2022/08/09 02:54:18 - mmengine - INFO - Epoch(train) [31][400/1879] lr: 2.0000e-02 eta: 21:53:37 time: 0.5752 data_time: 0.0240 memory: 13723 grad_norm: 3.8601 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4024 loss: 1.4024 2022/08/09 02:54:29 - mmengine - INFO - Epoch(train) [31][420/1879] lr: 2.0000e-02 eta: 21:53:24 time: 0.5737 data_time: 0.0233 memory: 13723 grad_norm: 3.8768 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4181 loss: 1.4181 2022/08/09 02:54:41 - mmengine - INFO - Epoch(train) [31][440/1879] lr: 2.0000e-02 eta: 21:53:12 time: 0.5910 data_time: 0.0247 memory: 13723 grad_norm: 3.8885 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.4249 loss: 1.4249 2022/08/09 02:54:53 - mmengine - INFO - Epoch(train) [31][460/1879] lr: 2.0000e-02 eta: 21:53:00 time: 0.6098 data_time: 0.0228 memory: 13723 grad_norm: 3.9702 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4581 loss: 1.4581 2022/08/09 02:55:05 - mmengine - INFO - Epoch(train) [31][480/1879] lr: 2.0000e-02 eta: 21:52:46 time: 0.5706 data_time: 0.0196 memory: 13723 grad_norm: 3.8551 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6028 loss: 1.6028 2022/08/09 02:55:18 - mmengine - INFO - Epoch(train) [31][500/1879] lr: 2.0000e-02 eta: 21:52:37 time: 0.6601 data_time: 0.0215 memory: 13723 grad_norm: 3.7744 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.3373 loss: 1.3373 2022/08/09 02:55:31 - mmengine - INFO - Epoch(train) [31][520/1879] lr: 2.0000e-02 eta: 21:52:27 time: 0.6479 data_time: 0.0264 memory: 13723 grad_norm: 3.8416 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5876 loss: 1.5876 2022/08/09 02:55:42 - mmengine - INFO - Epoch(train) [31][540/1879] lr: 2.0000e-02 eta: 21:52:14 time: 0.5800 data_time: 0.0211 memory: 13723 grad_norm: 3.9141 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5457 loss: 1.5457 2022/08/09 02:55:55 - mmengine - INFO - Epoch(train) [31][560/1879] lr: 2.0000e-02 eta: 21:52:02 time: 0.6039 data_time: 0.0205 memory: 13723 grad_norm: 3.8277 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4662 loss: 1.4662 2022/08/09 02:56:06 - mmengine - INFO - Epoch(train) [31][580/1879] lr: 2.0000e-02 eta: 21:51:49 time: 0.5683 data_time: 0.0226 memory: 13723 grad_norm: 3.8769 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5029 loss: 1.5029 2022/08/09 02:56:17 - mmengine - INFO - Epoch(train) [31][600/1879] lr: 2.0000e-02 eta: 21:51:36 time: 0.5748 data_time: 0.0226 memory: 13723 grad_norm: 3.8423 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4493 loss: 1.4493 2022/08/09 02:56:29 - mmengine - INFO - Epoch(train) [31][620/1879] lr: 2.0000e-02 eta: 21:51:22 time: 0.5746 data_time: 0.0222 memory: 13723 grad_norm: 3.8594 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4516 loss: 1.4516 2022/08/09 02:56:35 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 02:56:41 - mmengine - INFO - Epoch(train) [31][640/1879] lr: 2.0000e-02 eta: 21:51:09 time: 0.5790 data_time: 0.0210 memory: 13723 grad_norm: 3.8313 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7806 loss: 1.7806 2022/08/09 02:56:52 - mmengine - INFO - Epoch(train) [31][660/1879] lr: 2.0000e-02 eta: 21:50:56 time: 0.5717 data_time: 0.0227 memory: 13723 grad_norm: 3.8203 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4447 loss: 1.4447 2022/08/09 02:57:03 - mmengine - INFO - Epoch(train) [31][680/1879] lr: 2.0000e-02 eta: 21:50:43 time: 0.5709 data_time: 0.0225 memory: 13723 grad_norm: 3.8617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3109 loss: 1.3109 2022/08/09 02:57:15 - mmengine - INFO - Epoch(train) [31][700/1879] lr: 2.0000e-02 eta: 21:50:30 time: 0.5959 data_time: 0.0229 memory: 13723 grad_norm: 3.8249 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4799 loss: 1.4799 2022/08/09 02:57:27 - mmengine - INFO - Epoch(train) [31][720/1879] lr: 2.0000e-02 eta: 21:50:17 time: 0.5766 data_time: 0.0228 memory: 13723 grad_norm: 3.7580 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4197 loss: 1.4197 2022/08/09 02:57:39 - mmengine - INFO - Epoch(train) [31][740/1879] lr: 2.0000e-02 eta: 21:50:04 time: 0.5813 data_time: 0.0244 memory: 13723 grad_norm: 3.9488 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4484 loss: 1.4484 2022/08/09 02:57:52 - mmengine - INFO - Epoch(train) [31][760/1879] lr: 2.0000e-02 eta: 21:49:55 time: 0.6531 data_time: 0.0219 memory: 13723 grad_norm: 4.0017 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6780 loss: 1.6780 2022/08/09 02:58:05 - mmengine - INFO - Epoch(train) [31][780/1879] lr: 2.0000e-02 eta: 21:49:45 time: 0.6603 data_time: 0.0197 memory: 13723 grad_norm: 3.8751 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3583 loss: 1.3583 2022/08/09 02:58:17 - mmengine - INFO - Epoch(train) [31][800/1879] lr: 2.0000e-02 eta: 21:49:34 time: 0.6100 data_time: 0.0214 memory: 13723 grad_norm: 3.9037 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5295 loss: 1.5295 2022/08/09 02:58:28 - mmengine - INFO - Epoch(train) [31][820/1879] lr: 2.0000e-02 eta: 21:49:20 time: 0.5704 data_time: 0.0202 memory: 13723 grad_norm: 3.9081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5968 loss: 1.5968 2022/08/09 02:58:40 - mmengine - INFO - Epoch(train) [31][840/1879] lr: 2.0000e-02 eta: 21:49:07 time: 0.5766 data_time: 0.0227 memory: 13723 grad_norm: 3.9825 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6405 loss: 1.6405 2022/08/09 02:58:52 - mmengine - INFO - Epoch(train) [31][860/1879] lr: 2.0000e-02 eta: 21:48:55 time: 0.5906 data_time: 0.0239 memory: 13723 grad_norm: 3.9072 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5016 loss: 1.5016 2022/08/09 02:59:04 - mmengine - INFO - Epoch(train) [31][880/1879] lr: 2.0000e-02 eta: 21:48:42 time: 0.5879 data_time: 0.0234 memory: 13723 grad_norm: 3.9192 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4499 loss: 1.4499 2022/08/09 02:59:15 - mmengine - INFO - Epoch(train) [31][900/1879] lr: 2.0000e-02 eta: 21:48:30 time: 0.5953 data_time: 0.0240 memory: 13723 grad_norm: 3.8339 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5489 loss: 1.5489 2022/08/09 02:59:28 - mmengine - INFO - Epoch(train) [31][920/1879] lr: 2.0000e-02 eta: 21:48:20 time: 0.6406 data_time: 0.0196 memory: 13723 grad_norm: 3.7844 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3195 loss: 1.3195 2022/08/09 02:59:40 - mmengine - INFO - Epoch(train) [31][940/1879] lr: 2.0000e-02 eta: 21:48:06 time: 0.5739 data_time: 0.0235 memory: 13723 grad_norm: 3.7989 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2991 loss: 1.2991 2022/08/09 02:59:52 - mmengine - INFO - Epoch(train) [31][960/1879] lr: 2.0000e-02 eta: 21:47:55 time: 0.6174 data_time: 0.0237 memory: 13723 grad_norm: 3.8555 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6239 loss: 1.6239 2022/08/09 03:00:05 - mmengine - INFO - Epoch(train) [31][980/1879] lr: 2.0000e-02 eta: 21:47:45 time: 0.6356 data_time: 0.0189 memory: 13723 grad_norm: 3.8687 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5678 loss: 1.5678 2022/08/09 03:00:20 - mmengine - INFO - Epoch(train) [31][1000/1879] lr: 2.0000e-02 eta: 21:47:40 time: 0.7685 data_time: 0.0190 memory: 13723 grad_norm: 3.8413 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2473 loss: 1.2473 2022/08/09 03:00:33 - mmengine - INFO - Epoch(train) [31][1020/1879] lr: 2.0000e-02 eta: 21:47:29 time: 0.6152 data_time: 0.0249 memory: 13723 grad_norm: 3.9163 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5490 loss: 1.5490 2022/08/09 03:00:44 - mmengine - INFO - Epoch(train) [31][1040/1879] lr: 2.0000e-02 eta: 21:47:16 time: 0.5799 data_time: 0.0222 memory: 13723 grad_norm: 3.9661 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4887 loss: 1.4887 2022/08/09 03:00:56 - mmengine - INFO - Epoch(train) [31][1060/1879] lr: 2.0000e-02 eta: 21:47:03 time: 0.5766 data_time: 0.0225 memory: 13723 grad_norm: 3.9121 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5287 loss: 1.5287 2022/08/09 03:01:09 - mmengine - INFO - Epoch(train) [31][1080/1879] lr: 2.0000e-02 eta: 21:46:52 time: 0.6401 data_time: 0.0234 memory: 13723 grad_norm: 3.8719 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4925 loss: 1.4925 2022/08/09 03:01:22 - mmengine - INFO - Epoch(train) [31][1100/1879] lr: 2.0000e-02 eta: 21:46:44 time: 0.6771 data_time: 0.0189 memory: 13723 grad_norm: 3.8103 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3200 loss: 1.3200 2022/08/09 03:01:33 - mmengine - INFO - Epoch(train) [31][1120/1879] lr: 2.0000e-02 eta: 21:46:30 time: 0.5678 data_time: 0.0224 memory: 13723 grad_norm: 3.8896 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5530 loss: 1.5530 2022/08/09 03:01:45 - mmengine - INFO - Epoch(train) [31][1140/1879] lr: 2.0000e-02 eta: 21:46:17 time: 0.5782 data_time: 0.0253 memory: 13723 grad_norm: 3.9098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4452 loss: 1.4452 2022/08/09 03:01:57 - mmengine - INFO - Epoch(train) [31][1160/1879] lr: 2.0000e-02 eta: 21:46:05 time: 0.5908 data_time: 0.0326 memory: 13723 grad_norm: 3.7643 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4197 loss: 1.4197 2022/08/09 03:02:08 - mmengine - INFO - Epoch(train) [31][1180/1879] lr: 2.0000e-02 eta: 21:45:52 time: 0.5819 data_time: 0.0182 memory: 13723 grad_norm: 3.8357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4613 loss: 1.4613 2022/08/09 03:02:22 - mmengine - INFO - Epoch(train) [31][1200/1879] lr: 2.0000e-02 eta: 21:45:43 time: 0.6645 data_time: 0.0235 memory: 13723 grad_norm: 3.8234 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6010 loss: 1.6010 2022/08/09 03:02:33 - mmengine - INFO - Epoch(train) [31][1220/1879] lr: 2.0000e-02 eta: 21:45:29 time: 0.5603 data_time: 0.0170 memory: 13723 grad_norm: 3.9745 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6233 loss: 1.6233 2022/08/09 03:02:45 - mmengine - INFO - Epoch(train) [31][1240/1879] lr: 2.0000e-02 eta: 21:45:18 time: 0.6183 data_time: 0.0249 memory: 13723 grad_norm: 3.8013 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4733 loss: 1.4733 2022/08/09 03:02:57 - mmengine - INFO - Epoch(train) [31][1260/1879] lr: 2.0000e-02 eta: 21:45:06 time: 0.6056 data_time: 0.0633 memory: 13723 grad_norm: 3.7571 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.3864 loss: 1.3864 2022/08/09 03:03:11 - mmengine - INFO - Epoch(train) [31][1280/1879] lr: 2.0000e-02 eta: 21:44:56 time: 0.6583 data_time: 0.1075 memory: 13723 grad_norm: 3.8592 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2737 loss: 1.2737 2022/08/09 03:03:22 - mmengine - INFO - Epoch(train) [31][1300/1879] lr: 2.0000e-02 eta: 21:44:43 time: 0.5771 data_time: 0.0213 memory: 13723 grad_norm: 3.9695 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5209 loss: 1.5209 2022/08/09 03:03:34 - mmengine - INFO - Epoch(train) [31][1320/1879] lr: 2.0000e-02 eta: 21:44:30 time: 0.5835 data_time: 0.0253 memory: 13723 grad_norm: 4.0339 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6418 loss: 1.6418 2022/08/09 03:03:45 - mmengine - INFO - Epoch(train) [31][1340/1879] lr: 2.0000e-02 eta: 21:44:17 time: 0.5670 data_time: 0.0220 memory: 13723 grad_norm: 3.8429 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5286 loss: 1.5286 2022/08/09 03:03:58 - mmengine - INFO - Epoch(train) [31][1360/1879] lr: 2.0000e-02 eta: 21:44:07 time: 0.6371 data_time: 0.0208 memory: 13723 grad_norm: 3.8920 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5399 loss: 1.5399 2022/08/09 03:04:09 - mmengine - INFO - Epoch(train) [31][1380/1879] lr: 2.0000e-02 eta: 21:43:53 time: 0.5725 data_time: 0.0248 memory: 13723 grad_norm: 4.0067 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6110 loss: 1.6110 2022/08/09 03:04:21 - mmengine - INFO - Epoch(train) [31][1400/1879] lr: 2.0000e-02 eta: 21:43:40 time: 0.5818 data_time: 0.0212 memory: 13723 grad_norm: 3.8695 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4900 loss: 1.4900 2022/08/09 03:04:33 - mmengine - INFO - Epoch(train) [31][1420/1879] lr: 2.0000e-02 eta: 21:43:28 time: 0.6027 data_time: 0.0234 memory: 13723 grad_norm: 3.8930 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4815 loss: 1.4815 2022/08/09 03:04:45 - mmengine - INFO - Epoch(train) [31][1440/1879] lr: 2.0000e-02 eta: 21:43:15 time: 0.5797 data_time: 0.0230 memory: 13723 grad_norm: 3.9066 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.2984 loss: 1.2984 2022/08/09 03:04:57 - mmengine - INFO - Epoch(train) [31][1460/1879] lr: 2.0000e-02 eta: 21:43:04 time: 0.6092 data_time: 0.0210 memory: 13723 grad_norm: 3.8632 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5918 loss: 1.5918 2022/08/09 03:05:14 - mmengine - INFO - Epoch(train) [31][1480/1879] lr: 2.0000e-02 eta: 21:43:03 time: 0.8438 data_time: 0.0454 memory: 13723 grad_norm: 3.9467 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3851 loss: 1.3851 2022/08/09 03:05:26 - mmengine - INFO - Epoch(train) [31][1500/1879] lr: 2.0000e-02 eta: 21:42:52 time: 0.6242 data_time: 0.0215 memory: 13723 grad_norm: 3.9465 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5658 loss: 1.5658 2022/08/09 03:05:38 - mmengine - INFO - Epoch(train) [31][1520/1879] lr: 2.0000e-02 eta: 21:42:39 time: 0.5897 data_time: 0.0216 memory: 13723 grad_norm: 3.9113 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4989 loss: 1.4989 2022/08/09 03:05:51 - mmengine - INFO - Epoch(train) [31][1540/1879] lr: 2.0000e-02 eta: 21:42:30 time: 0.6606 data_time: 0.0201 memory: 13723 grad_norm: 3.8594 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3863 loss: 1.3863 2022/08/09 03:06:03 - mmengine - INFO - Epoch(train) [31][1560/1879] lr: 2.0000e-02 eta: 21:42:16 time: 0.5693 data_time: 0.0203 memory: 13723 grad_norm: 3.9290 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5275 loss: 1.5275 2022/08/09 03:06:15 - mmengine - INFO - Epoch(train) [31][1580/1879] lr: 2.0000e-02 eta: 21:42:05 time: 0.6110 data_time: 0.0219 memory: 13723 grad_norm: 3.8258 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5810 loss: 1.5810 2022/08/09 03:06:26 - mmengine - INFO - Epoch(train) [31][1600/1879] lr: 2.0000e-02 eta: 21:41:51 time: 0.5634 data_time: 0.0216 memory: 13723 grad_norm: 3.8820 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5175 loss: 1.5175 2022/08/09 03:06:38 - mmengine - INFO - Epoch(train) [31][1620/1879] lr: 2.0000e-02 eta: 21:41:38 time: 0.5725 data_time: 0.0226 memory: 13723 grad_norm: 3.8651 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.6109 loss: 1.6109 2022/08/09 03:06:44 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 03:06:50 - mmengine - INFO - Epoch(train) [31][1640/1879] lr: 2.0000e-02 eta: 21:41:26 time: 0.6037 data_time: 0.0241 memory: 13723 grad_norm: 3.9594 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4771 loss: 1.4771 2022/08/09 03:07:01 - mmengine - INFO - Epoch(train) [31][1660/1879] lr: 2.0000e-02 eta: 21:41:12 time: 0.5702 data_time: 0.0227 memory: 13723 grad_norm: 3.9252 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4488 loss: 1.4488 2022/08/09 03:07:13 - mmengine - INFO - Epoch(train) [31][1680/1879] lr: 2.0000e-02 eta: 21:41:00 time: 0.5884 data_time: 0.0265 memory: 13723 grad_norm: 3.7906 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5360 loss: 1.5360 2022/08/09 03:07:24 - mmengine - INFO - Epoch(train) [31][1700/1879] lr: 2.0000e-02 eta: 21:40:47 time: 0.5765 data_time: 0.0202 memory: 13723 grad_norm: 3.7329 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1697 loss: 1.1697 2022/08/09 03:07:37 - mmengine - INFO - Epoch(train) [31][1720/1879] lr: 2.0000e-02 eta: 21:40:36 time: 0.6411 data_time: 0.0209 memory: 13723 grad_norm: 3.9965 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5066 loss: 1.5066 2022/08/09 03:07:49 - mmengine - INFO - Epoch(train) [31][1740/1879] lr: 2.0000e-02 eta: 21:40:23 time: 0.5735 data_time: 0.0202 memory: 13723 grad_norm: 3.7288 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3460 loss: 1.3460 2022/08/09 03:08:01 - mmengine - INFO - Epoch(train) [31][1760/1879] lr: 2.0000e-02 eta: 21:40:11 time: 0.5994 data_time: 0.0319 memory: 13723 grad_norm: 3.8188 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5724 loss: 1.5724 2022/08/09 03:08:12 - mmengine - INFO - Epoch(train) [31][1780/1879] lr: 2.0000e-02 eta: 21:39:58 time: 0.5801 data_time: 0.0246 memory: 13723 grad_norm: 3.8776 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4076 loss: 1.4076 2022/08/09 03:08:24 - mmengine - INFO - Epoch(train) [31][1800/1879] lr: 2.0000e-02 eta: 21:39:46 time: 0.5955 data_time: 0.0217 memory: 13723 grad_norm: 3.9970 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6033 loss: 1.6033 2022/08/09 03:08:36 - mmengine - INFO - Epoch(train) [31][1820/1879] lr: 2.0000e-02 eta: 21:39:32 time: 0.5719 data_time: 0.0218 memory: 13723 grad_norm: 3.8328 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6881 loss: 1.6881 2022/08/09 03:08:47 - mmengine - INFO - Epoch(train) [31][1840/1879] lr: 2.0000e-02 eta: 21:39:19 time: 0.5712 data_time: 0.0236 memory: 13723 grad_norm: 3.9104 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5015 loss: 1.5015 2022/08/09 03:09:01 - mmengine - INFO - Epoch(train) [31][1860/1879] lr: 2.0000e-02 eta: 21:39:11 time: 0.6812 data_time: 0.0196 memory: 13723 grad_norm: 3.7973 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4920 loss: 1.4920 2022/08/09 03:09:12 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 03:09:12 - mmengine - INFO - Epoch(train) [31][1879/1879] lr: 2.0000e-02 eta: 21:39:11 time: 0.5669 data_time: 0.0169 memory: 13723 grad_norm: 3.9931 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.6997 loss: 1.6997 2022/08/09 03:09:27 - mmengine - INFO - Epoch(val) [31][20/155] eta: 0:01:43 time: 0.7690 data_time: 0.6286 memory: 1829 2022/08/09 03:09:37 - mmengine - INFO - Epoch(val) [31][40/155] eta: 0:00:54 time: 0.4713 data_time: 0.3261 memory: 1829 2022/08/09 03:09:49 - mmengine - INFO - Epoch(val) [31][60/155] eta: 0:01:01 time: 0.6468 data_time: 0.5077 memory: 1829 2022/08/09 03:10:02 - mmengine - INFO - Epoch(val) [31][80/155] eta: 0:00:46 time: 0.6178 data_time: 0.4771 memory: 1829 2022/08/09 03:10:18 - mmengine - INFO - Epoch(val) [31][100/155] eta: 0:00:44 time: 0.8096 data_time: 0.6706 memory: 1829 2022/08/09 03:10:32 - mmengine - INFO - Epoch(val) [31][120/155] eta: 0:00:24 time: 0.6969 data_time: 0.5585 memory: 1829 2022/08/09 03:10:43 - mmengine - INFO - Epoch(val) [31][140/155] eta: 0:00:08 time: 0.5583 data_time: 0.4224 memory: 1829 2022/08/09 03:10:53 - mmengine - INFO - Epoch(val) [31][155/155] acc/top1: 0.6206 acc/top5: 0.8441 acc/mean1: 0.6207 2022/08/09 03:11:12 - mmengine - INFO - Epoch(train) [32][20/1879] lr: 2.0000e-02 eta: 21:38:37 time: 0.9401 data_time: 0.1802 memory: 13723 grad_norm: 3.7648 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3288 loss: 1.3288 2022/08/09 03:11:24 - mmengine - INFO - Epoch(train) [32][40/1879] lr: 2.0000e-02 eta: 21:38:25 time: 0.5940 data_time: 0.0206 memory: 13723 grad_norm: 3.6882 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4272 loss: 1.4272 2022/08/09 03:11:35 - mmengine - INFO - Epoch(train) [32][60/1879] lr: 2.0000e-02 eta: 21:38:11 time: 0.5732 data_time: 0.0229 memory: 13723 grad_norm: 3.9120 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5395 loss: 1.5395 2022/08/09 03:11:47 - mmengine - INFO - Epoch(train) [32][80/1879] lr: 2.0000e-02 eta: 21:37:58 time: 0.5684 data_time: 0.0237 memory: 13723 grad_norm: 3.8506 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4312 loss: 1.4312 2022/08/09 03:11:58 - mmengine - INFO - Epoch(train) [32][100/1879] lr: 2.0000e-02 eta: 21:37:44 time: 0.5688 data_time: 0.0209 memory: 13723 grad_norm: 3.8390 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5124 loss: 1.5124 2022/08/09 03:12:09 - mmengine - INFO - Epoch(train) [32][120/1879] lr: 2.0000e-02 eta: 21:37:31 time: 0.5722 data_time: 0.0237 memory: 13723 grad_norm: 3.8062 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5805 loss: 1.5805 2022/08/09 03:12:21 - mmengine - INFO - Epoch(train) [32][140/1879] lr: 2.0000e-02 eta: 21:37:18 time: 0.5837 data_time: 0.0233 memory: 13723 grad_norm: 3.8261 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4336 loss: 1.4336 2022/08/09 03:12:33 - mmengine - INFO - Epoch(train) [32][160/1879] lr: 2.0000e-02 eta: 21:37:07 time: 0.6071 data_time: 0.0415 memory: 13723 grad_norm: 3.8329 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2812 loss: 1.2812 2022/08/09 03:12:45 - mmengine - INFO - Epoch(train) [32][180/1879] lr: 2.0000e-02 eta: 21:36:53 time: 0.5773 data_time: 0.0198 memory: 13723 grad_norm: 3.7247 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3192 loss: 1.3192 2022/08/09 03:12:59 - mmengine - INFO - Epoch(train) [32][200/1879] lr: 2.0000e-02 eta: 21:36:45 time: 0.6868 data_time: 0.0205 memory: 13723 grad_norm: 3.8755 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.5237 loss: 1.5237 2022/08/09 03:13:10 - mmengine - INFO - Epoch(train) [32][220/1879] lr: 2.0000e-02 eta: 21:36:32 time: 0.5804 data_time: 0.0206 memory: 13723 grad_norm: 3.8569 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5868 loss: 1.5868 2022/08/09 03:13:23 - mmengine - INFO - Epoch(train) [32][240/1879] lr: 2.0000e-02 eta: 21:36:21 time: 0.6159 data_time: 0.0209 memory: 13723 grad_norm: 3.8429 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4346 loss: 1.4346 2022/08/09 03:13:36 - mmengine - INFO - Epoch(train) [32][260/1879] lr: 2.0000e-02 eta: 21:36:13 time: 0.6904 data_time: 0.0323 memory: 13723 grad_norm: 3.9115 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3359 loss: 1.3359 2022/08/09 03:13:48 - mmengine - INFO - Epoch(train) [32][280/1879] lr: 2.0000e-02 eta: 21:35:59 time: 0.5632 data_time: 0.0205 memory: 13723 grad_norm: 3.8902 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3067 loss: 1.3067 2022/08/09 03:14:00 - mmengine - INFO - Epoch(train) [32][300/1879] lr: 2.0000e-02 eta: 21:35:47 time: 0.6080 data_time: 0.0214 memory: 13723 grad_norm: 3.8285 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5208 loss: 1.5208 2022/08/09 03:14:11 - mmengine - INFO - Epoch(train) [32][320/1879] lr: 2.0000e-02 eta: 21:35:34 time: 0.5744 data_time: 0.0213 memory: 13723 grad_norm: 3.9160 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4932 loss: 1.4932 2022/08/09 03:14:23 - mmengine - INFO - Epoch(train) [32][340/1879] lr: 2.0000e-02 eta: 21:35:21 time: 0.5766 data_time: 0.0236 memory: 13723 grad_norm: 3.8671 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5632 loss: 1.5632 2022/08/09 03:14:35 - mmengine - INFO - Epoch(train) [32][360/1879] lr: 2.0000e-02 eta: 21:35:09 time: 0.6085 data_time: 0.0286 memory: 13723 grad_norm: 3.9228 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4409 loss: 1.4409 2022/08/09 03:14:48 - mmengine - INFO - Epoch(train) [32][380/1879] lr: 2.0000e-02 eta: 21:34:59 time: 0.6331 data_time: 0.0174 memory: 13723 grad_norm: 3.8585 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5344 loss: 1.5344 2022/08/09 03:14:59 - mmengine - INFO - Epoch(train) [32][400/1879] lr: 2.0000e-02 eta: 21:34:46 time: 0.5763 data_time: 0.0233 memory: 13723 grad_norm: 3.9005 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2676 loss: 1.2676 2022/08/09 03:15:11 - mmengine - INFO - Epoch(train) [32][420/1879] lr: 2.0000e-02 eta: 21:34:33 time: 0.5742 data_time: 0.0226 memory: 13723 grad_norm: 3.8593 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5084 loss: 1.5084 2022/08/09 03:15:24 - mmengine - INFO - Epoch(train) [32][440/1879] lr: 2.0000e-02 eta: 21:34:23 time: 0.6641 data_time: 0.0348 memory: 13723 grad_norm: 3.9147 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3878 loss: 1.3878 2022/08/09 03:15:37 - mmengine - INFO - Epoch(train) [32][460/1879] lr: 2.0000e-02 eta: 21:34:14 time: 0.6627 data_time: 0.1126 memory: 13723 grad_norm: 3.8816 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.5434 loss: 1.5434 2022/08/09 03:15:50 - mmengine - INFO - Epoch(train) [32][480/1879] lr: 2.0000e-02 eta: 21:34:04 time: 0.6426 data_time: 0.0976 memory: 13723 grad_norm: 3.8298 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4516 loss: 1.4516 2022/08/09 03:16:02 - mmengine - INFO - Epoch(train) [32][500/1879] lr: 2.0000e-02 eta: 21:33:51 time: 0.5785 data_time: 0.0214 memory: 13723 grad_norm: 3.9691 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5786 loss: 1.5786 2022/08/09 03:16:14 - mmengine - INFO - Epoch(train) [32][520/1879] lr: 2.0000e-02 eta: 21:33:39 time: 0.6163 data_time: 0.0202 memory: 13723 grad_norm: 3.7940 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3797 loss: 1.3797 2022/08/09 03:16:25 - mmengine - INFO - Epoch(train) [32][540/1879] lr: 2.0000e-02 eta: 21:33:26 time: 0.5718 data_time: 0.0213 memory: 13723 grad_norm: 3.7566 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3801 loss: 1.3801 2022/08/09 03:16:37 - mmengine - INFO - Epoch(train) [32][560/1879] lr: 2.0000e-02 eta: 21:33:13 time: 0.5725 data_time: 0.0206 memory: 13723 grad_norm: 3.8415 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5360 loss: 1.5360 2022/08/09 03:16:49 - mmengine - INFO - Epoch(train) [32][580/1879] lr: 2.0000e-02 eta: 21:33:00 time: 0.5896 data_time: 0.0225 memory: 13723 grad_norm: 3.8879 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4582 loss: 1.4582 2022/08/09 03:17:00 - mmengine - INFO - Epoch(train) [32][600/1879] lr: 2.0000e-02 eta: 21:32:47 time: 0.5733 data_time: 0.0227 memory: 13723 grad_norm: 3.8488 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4522 loss: 1.4522 2022/08/09 03:17:12 - mmengine - INFO - Epoch(train) [32][620/1879] lr: 2.0000e-02 eta: 21:32:35 time: 0.6068 data_time: 0.0230 memory: 13723 grad_norm: 3.9602 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5400 loss: 1.5400 2022/08/09 03:17:24 - mmengine - INFO - Epoch(train) [32][640/1879] lr: 2.0000e-02 eta: 21:32:22 time: 0.5765 data_time: 0.0225 memory: 13723 grad_norm: 3.8992 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3848 loss: 1.3848 2022/08/09 03:17:35 - mmengine - INFO - Epoch(train) [32][660/1879] lr: 2.0000e-02 eta: 21:32:09 time: 0.5760 data_time: 0.0221 memory: 13723 grad_norm: 3.9556 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7202 loss: 1.7202 2022/08/09 03:17:47 - mmengine - INFO - Epoch(train) [32][680/1879] lr: 2.0000e-02 eta: 21:31:57 time: 0.5906 data_time: 0.0247 memory: 13723 grad_norm: 3.9518 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.3504 loss: 1.3504 2022/08/09 03:18:01 - mmengine - INFO - Epoch(train) [32][700/1879] lr: 2.0000e-02 eta: 21:31:48 time: 0.6696 data_time: 0.0462 memory: 13723 grad_norm: 3.8580 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3924 loss: 1.3924 2022/08/09 03:18:12 - mmengine - INFO - Epoch(train) [32][720/1879] lr: 2.0000e-02 eta: 21:31:35 time: 0.5812 data_time: 0.0229 memory: 13723 grad_norm: 3.9605 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3798 loss: 1.3798 2022/08/09 03:18:26 - mmengine - INFO - Epoch(train) [32][740/1879] lr: 2.0000e-02 eta: 21:31:27 time: 0.6931 data_time: 0.0197 memory: 13723 grad_norm: 3.8487 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4031 loss: 1.4031 2022/08/09 03:18:33 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 03:18:38 - mmengine - INFO - Epoch(train) [32][760/1879] lr: 2.0000e-02 eta: 21:31:14 time: 0.5814 data_time: 0.0238 memory: 13723 grad_norm: 3.9149 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5771 loss: 1.5771 2022/08/09 03:18:50 - mmengine - INFO - Epoch(train) [32][780/1879] lr: 2.0000e-02 eta: 21:31:01 time: 0.5933 data_time: 0.0217 memory: 13723 grad_norm: 3.7523 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4695 loss: 1.4695 2022/08/09 03:19:01 - mmengine - INFO - Epoch(train) [32][800/1879] lr: 2.0000e-02 eta: 21:30:48 time: 0.5726 data_time: 0.0230 memory: 13723 grad_norm: 3.7998 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3645 loss: 1.3645 2022/08/09 03:19:13 - mmengine - INFO - Epoch(train) [32][820/1879] lr: 2.0000e-02 eta: 21:30:35 time: 0.5834 data_time: 0.0223 memory: 13723 grad_norm: 3.8522 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4188 loss: 1.4188 2022/08/09 03:19:25 - mmengine - INFO - Epoch(train) [32][840/1879] lr: 2.0000e-02 eta: 21:30:24 time: 0.6225 data_time: 0.0220 memory: 13723 grad_norm: 3.7996 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4327 loss: 1.4327 2022/08/09 03:19:36 - mmengine - INFO - Epoch(train) [32][860/1879] lr: 2.0000e-02 eta: 21:30:11 time: 0.5631 data_time: 0.0203 memory: 13723 grad_norm: 3.8527 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5767 loss: 1.5767 2022/08/09 03:19:49 - mmengine - INFO - Epoch(train) [32][880/1879] lr: 2.0000e-02 eta: 21:30:00 time: 0.6314 data_time: 0.0209 memory: 13723 grad_norm: 3.9842 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3257 loss: 1.3257 2022/08/09 03:20:00 - mmengine - INFO - Epoch(train) [32][900/1879] lr: 2.0000e-02 eta: 21:29:46 time: 0.5647 data_time: 0.0226 memory: 13723 grad_norm: 4.0695 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5670 loss: 1.5670 2022/08/09 03:20:15 - mmengine - INFO - Epoch(train) [32][920/1879] lr: 2.0000e-02 eta: 21:29:41 time: 0.7484 data_time: 0.0220 memory: 13723 grad_norm: 3.8775 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7287 loss: 1.7287 2022/08/09 03:20:29 - mmengine - INFO - Epoch(train) [32][940/1879] lr: 2.0000e-02 eta: 21:29:33 time: 0.6944 data_time: 0.0193 memory: 13723 grad_norm: 3.8795 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4760 loss: 1.4760 2022/08/09 03:20:43 - mmengine - INFO - Epoch(train) [32][960/1879] lr: 2.0000e-02 eta: 21:29:24 time: 0.6653 data_time: 0.0212 memory: 13723 grad_norm: 3.8423 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4617 loss: 1.4617 2022/08/09 03:20:54 - mmengine - INFO - Epoch(train) [32][980/1879] lr: 2.0000e-02 eta: 21:29:11 time: 0.5948 data_time: 0.0201 memory: 13723 grad_norm: 3.8211 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5518 loss: 1.5518 2022/08/09 03:21:07 - mmengine - INFO - Epoch(train) [32][1000/1879] lr: 2.0000e-02 eta: 21:29:01 time: 0.6396 data_time: 0.0238 memory: 13723 grad_norm: 3.9790 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5166 loss: 1.5166 2022/08/09 03:21:20 - mmengine - INFO - Epoch(train) [32][1020/1879] lr: 2.0000e-02 eta: 21:28:50 time: 0.6173 data_time: 0.0191 memory: 13723 grad_norm: 3.8815 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3959 loss: 1.3959 2022/08/09 03:21:31 - mmengine - INFO - Epoch(train) [32][1040/1879] lr: 2.0000e-02 eta: 21:28:36 time: 0.5756 data_time: 0.0255 memory: 13723 grad_norm: 3.9700 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3342 loss: 1.3342 2022/08/09 03:21:43 - mmengine - INFO - Epoch(train) [32][1060/1879] lr: 2.0000e-02 eta: 21:28:25 time: 0.6073 data_time: 0.0199 memory: 13723 grad_norm: 3.9153 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4558 loss: 1.4558 2022/08/09 03:21:55 - mmengine - INFO - Epoch(train) [32][1080/1879] lr: 2.0000e-02 eta: 21:28:12 time: 0.5844 data_time: 0.0225 memory: 13723 grad_norm: 3.9915 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5042 loss: 1.5042 2022/08/09 03:22:07 - mmengine - INFO - Epoch(train) [32][1100/1879] lr: 2.0000e-02 eta: 21:27:59 time: 0.5808 data_time: 0.0207 memory: 13723 grad_norm: 3.8195 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5786 loss: 1.5786 2022/08/09 03:22:19 - mmengine - INFO - Epoch(train) [32][1120/1879] lr: 2.0000e-02 eta: 21:27:48 time: 0.6147 data_time: 0.0252 memory: 13723 grad_norm: 3.7830 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4080 loss: 1.4080 2022/08/09 03:22:31 - mmengine - INFO - Epoch(train) [32][1140/1879] lr: 2.0000e-02 eta: 21:27:35 time: 0.5994 data_time: 0.0185 memory: 13723 grad_norm: 3.8198 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3266 loss: 1.3266 2022/08/09 03:22:45 - mmengine - INFO - Epoch(train) [32][1160/1879] lr: 2.0000e-02 eta: 21:27:28 time: 0.7061 data_time: 0.0195 memory: 13723 grad_norm: 3.9069 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5631 loss: 1.5631 2022/08/09 03:22:58 - mmengine - INFO - Epoch(train) [32][1180/1879] lr: 2.0000e-02 eta: 21:27:18 time: 0.6569 data_time: 0.0189 memory: 13723 grad_norm: 3.9902 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5183 loss: 1.5183 2022/08/09 03:23:10 - mmengine - INFO - Epoch(train) [32][1200/1879] lr: 2.0000e-02 eta: 21:27:05 time: 0.5768 data_time: 0.0248 memory: 13723 grad_norm: 3.9667 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4187 loss: 1.4187 2022/08/09 03:23:23 - mmengine - INFO - Epoch(train) [32][1220/1879] lr: 2.0000e-02 eta: 21:26:56 time: 0.6699 data_time: 0.1295 memory: 13723 grad_norm: 3.8852 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4094 loss: 1.4094 2022/08/09 03:23:35 - mmengine - INFO - Epoch(train) [32][1240/1879] lr: 2.0000e-02 eta: 21:26:43 time: 0.5773 data_time: 0.0238 memory: 13723 grad_norm: 3.7391 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3281 loss: 1.3281 2022/08/09 03:23:47 - mmengine - INFO - Epoch(train) [32][1260/1879] lr: 2.0000e-02 eta: 21:26:32 time: 0.6157 data_time: 0.0188 memory: 13723 grad_norm: 3.8978 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2651 loss: 1.2651 2022/08/09 03:24:01 - mmengine - INFO - Epoch(train) [32][1280/1879] lr: 2.0000e-02 eta: 21:26:23 time: 0.6858 data_time: 0.0258 memory: 13723 grad_norm: 3.9093 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6293 loss: 1.6293 2022/08/09 03:24:12 - mmengine - INFO - Epoch(train) [32][1300/1879] lr: 2.0000e-02 eta: 21:26:10 time: 0.5807 data_time: 0.0191 memory: 13723 grad_norm: 3.8769 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5551 loss: 1.5551 2022/08/09 03:24:25 - mmengine - INFO - Epoch(train) [32][1320/1879] lr: 2.0000e-02 eta: 21:25:59 time: 0.6117 data_time: 0.0608 memory: 13723 grad_norm: 3.9048 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5254 loss: 1.5254 2022/08/09 03:24:38 - mmengine - INFO - Epoch(train) [32][1340/1879] lr: 2.0000e-02 eta: 21:25:49 time: 0.6536 data_time: 0.0840 memory: 13723 grad_norm: 3.8884 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.4364 loss: 1.4364 2022/08/09 03:24:49 - mmengine - INFO - Epoch(train) [32][1360/1879] lr: 2.0000e-02 eta: 21:25:36 time: 0.5726 data_time: 0.0222 memory: 13723 grad_norm: 3.9093 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5672 loss: 1.5672 2022/08/09 03:25:04 - mmengine - INFO - Epoch(train) [32][1380/1879] lr: 2.0000e-02 eta: 21:25:29 time: 0.7190 data_time: 0.0188 memory: 13723 grad_norm: 4.0326 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6343 loss: 1.6343 2022/08/09 03:25:16 - mmengine - INFO - Epoch(train) [32][1400/1879] lr: 2.0000e-02 eta: 21:25:17 time: 0.5998 data_time: 0.0469 memory: 13723 grad_norm: 3.9200 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5780 loss: 1.5780 2022/08/09 03:25:29 - mmengine - INFO - Epoch(train) [32][1420/1879] lr: 2.0000e-02 eta: 21:25:07 time: 0.6581 data_time: 0.0212 memory: 13723 grad_norm: 3.9286 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4543 loss: 1.4543 2022/08/09 03:25:40 - mmengine - INFO - Epoch(train) [32][1440/1879] lr: 2.0000e-02 eta: 21:24:54 time: 0.5741 data_time: 0.0217 memory: 13723 grad_norm: 3.8805 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5431 loss: 1.5431 2022/08/09 03:25:53 - mmengine - INFO - Epoch(train) [32][1460/1879] lr: 2.0000e-02 eta: 21:24:43 time: 0.6320 data_time: 0.0215 memory: 13723 grad_norm: 3.8750 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5277 loss: 1.5277 2022/08/09 03:26:04 - mmengine - INFO - Epoch(train) [32][1480/1879] lr: 2.0000e-02 eta: 21:24:30 time: 0.5748 data_time: 0.0207 memory: 13723 grad_norm: 3.8653 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5433 loss: 1.5433 2022/08/09 03:26:16 - mmengine - INFO - Epoch(train) [32][1500/1879] lr: 2.0000e-02 eta: 21:24:17 time: 0.5717 data_time: 0.0234 memory: 13723 grad_norm: 3.9796 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.4251 loss: 1.4251 2022/08/09 03:26:27 - mmengine - INFO - Epoch(train) [32][1520/1879] lr: 2.0000e-02 eta: 21:24:03 time: 0.5664 data_time: 0.0219 memory: 13723 grad_norm: 3.8984 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5772 loss: 1.5772 2022/08/09 03:26:39 - mmengine - INFO - Epoch(train) [32][1540/1879] lr: 2.0000e-02 eta: 21:23:50 time: 0.5775 data_time: 0.0236 memory: 13723 grad_norm: 3.9164 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5105 loss: 1.5105 2022/08/09 03:26:50 - mmengine - INFO - Epoch(train) [32][1560/1879] lr: 2.0000e-02 eta: 21:23:37 time: 0.5799 data_time: 0.0215 memory: 13723 grad_norm: 3.9239 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4518 loss: 1.4518 2022/08/09 03:27:02 - mmengine - INFO - Epoch(train) [32][1580/1879] lr: 2.0000e-02 eta: 21:23:24 time: 0.5784 data_time: 0.0247 memory: 13723 grad_norm: 3.9015 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4672 loss: 1.4672 2022/08/09 03:27:14 - mmengine - INFO - Epoch(train) [32][1600/1879] lr: 2.0000e-02 eta: 21:23:12 time: 0.5826 data_time: 0.0217 memory: 13723 grad_norm: 3.9225 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5911 loss: 1.5911 2022/08/09 03:27:25 - mmengine - INFO - Epoch(train) [32][1620/1879] lr: 2.0000e-02 eta: 21:22:58 time: 0.5703 data_time: 0.0227 memory: 13723 grad_norm: 3.8121 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5174 loss: 1.5174 2022/08/09 03:27:36 - mmengine - INFO - Epoch(train) [32][1640/1879] lr: 2.0000e-02 eta: 21:22:45 time: 0.5724 data_time: 0.0260 memory: 13723 grad_norm: 3.9254 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5853 loss: 1.5853 2022/08/09 03:27:49 - mmengine - INFO - Epoch(train) [32][1660/1879] lr: 2.0000e-02 eta: 21:22:34 time: 0.6189 data_time: 0.0201 memory: 13723 grad_norm: 3.9341 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5262 loss: 1.5262 2022/08/09 03:28:02 - mmengine - INFO - Epoch(train) [32][1680/1879] lr: 2.0000e-02 eta: 21:22:23 time: 0.6420 data_time: 0.0400 memory: 13723 grad_norm: 3.8029 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4334 loss: 1.4334 2022/08/09 03:28:14 - mmengine - INFO - Epoch(train) [32][1700/1879] lr: 2.0000e-02 eta: 21:22:12 time: 0.6178 data_time: 0.0195 memory: 13723 grad_norm: 3.9281 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5806 loss: 1.5806 2022/08/09 03:28:26 - mmengine - INFO - Epoch(train) [32][1720/1879] lr: 2.0000e-02 eta: 21:22:00 time: 0.5970 data_time: 0.0521 memory: 13723 grad_norm: 3.9531 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5054 loss: 1.5054 2022/08/09 03:28:37 - mmengine - INFO - Epoch(train) [32][1740/1879] lr: 2.0000e-02 eta: 21:21:46 time: 0.5673 data_time: 0.0212 memory: 13723 grad_norm: 3.9361 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5473 loss: 1.5473 2022/08/09 03:28:45 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 03:28:50 - mmengine - INFO - Epoch(train) [32][1760/1879] lr: 2.0000e-02 eta: 21:21:36 time: 0.6382 data_time: 0.0222 memory: 13723 grad_norm: 3.7947 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7030 loss: 1.7030 2022/08/09 03:29:02 - mmengine - INFO - Epoch(train) [32][1780/1879] lr: 2.0000e-02 eta: 21:21:23 time: 0.5805 data_time: 0.0223 memory: 13723 grad_norm: 3.7948 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4296 loss: 1.4296 2022/08/09 03:29:13 - mmengine - INFO - Epoch(train) [32][1800/1879] lr: 2.0000e-02 eta: 21:21:10 time: 0.5745 data_time: 0.0223 memory: 13723 grad_norm: 3.9832 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4013 loss: 1.4013 2022/08/09 03:29:27 - mmengine - INFO - Epoch(train) [32][1820/1879] lr: 2.0000e-02 eta: 21:21:02 time: 0.7039 data_time: 0.0195 memory: 13723 grad_norm: 3.9309 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5097 loss: 1.5097 2022/08/09 03:29:39 - mmengine - INFO - Epoch(train) [32][1840/1879] lr: 2.0000e-02 eta: 21:20:49 time: 0.5629 data_time: 0.0207 memory: 13723 grad_norm: 3.7626 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4268 loss: 1.4268 2022/08/09 03:29:50 - mmengine - INFO - Epoch(train) [32][1860/1879] lr: 2.0000e-02 eta: 21:20:35 time: 0.5710 data_time: 0.0231 memory: 13723 grad_norm: 3.9277 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4420 loss: 1.4420 2022/08/09 03:30:00 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 03:30:00 - mmengine - INFO - Epoch(train) [32][1879/1879] lr: 2.0000e-02 eta: 21:20:35 time: 0.5316 data_time: 0.0170 memory: 13723 grad_norm: 4.0425 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.4011 loss: 1.4011 2022/08/09 03:30:15 - mmengine - INFO - Epoch(val) [32][20/155] eta: 0:01:40 time: 0.7463 data_time: 0.6054 memory: 1829 2022/08/09 03:30:28 - mmengine - INFO - Epoch(val) [32][40/155] eta: 0:01:14 time: 0.6473 data_time: 0.5085 memory: 1829 2022/08/09 03:30:40 - mmengine - INFO - Epoch(val) [32][60/155] eta: 0:00:58 time: 0.6140 data_time: 0.4747 memory: 1829 2022/08/09 03:30:52 - mmengine - INFO - Epoch(val) [32][80/155] eta: 0:00:45 time: 0.6058 data_time: 0.4660 memory: 1829 2022/08/09 03:31:07 - mmengine - INFO - Epoch(val) [32][100/155] eta: 0:00:39 time: 0.7241 data_time: 0.5854 memory: 1829 2022/08/09 03:31:17 - mmengine - INFO - Epoch(val) [32][120/155] eta: 0:00:18 time: 0.5255 data_time: 0.3857 memory: 1829 2022/08/09 03:31:26 - mmengine - INFO - Epoch(val) [32][140/155] eta: 0:00:06 time: 0.4186 data_time: 0.2826 memory: 1829 2022/08/09 03:31:33 - mmengine - INFO - Epoch(val) [32][155/155] acc/top1: 0.6268 acc/top5: 0.8486 acc/mean1: 0.6267 2022/08/09 03:31:51 - mmengine - INFO - Epoch(train) [33][20/1879] lr: 2.0000e-02 eta: 21:20:00 time: 0.9010 data_time: 0.2361 memory: 13723 grad_norm: 3.8139 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4001 loss: 1.4001 2022/08/09 03:32:03 - mmengine - INFO - Epoch(train) [33][40/1879] lr: 2.0000e-02 eta: 21:19:47 time: 0.5817 data_time: 0.0234 memory: 13723 grad_norm: 3.9828 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4682 loss: 1.4682 2022/08/09 03:32:14 - mmengine - INFO - Epoch(train) [33][60/1879] lr: 2.0000e-02 eta: 21:19:34 time: 0.5750 data_time: 0.0247 memory: 13723 grad_norm: 3.8122 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2016 loss: 1.2016 2022/08/09 03:32:26 - mmengine - INFO - Epoch(train) [33][80/1879] lr: 2.0000e-02 eta: 21:19:21 time: 0.5760 data_time: 0.0235 memory: 13723 grad_norm: 3.9446 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3854 loss: 1.3854 2022/08/09 03:32:37 - mmengine - INFO - Epoch(train) [33][100/1879] lr: 2.0000e-02 eta: 21:19:08 time: 0.5699 data_time: 0.0231 memory: 13723 grad_norm: 3.9462 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4361 loss: 1.4361 2022/08/09 03:32:49 - mmengine - INFO - Epoch(train) [33][120/1879] lr: 2.0000e-02 eta: 21:18:55 time: 0.5808 data_time: 0.0230 memory: 13723 grad_norm: 3.9693 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1513 loss: 1.1513 2022/08/09 03:33:00 - mmengine - INFO - Epoch(train) [33][140/1879] lr: 2.0000e-02 eta: 21:18:42 time: 0.5812 data_time: 0.0225 memory: 13723 grad_norm: 3.8388 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.2668 loss: 1.2668 2022/08/09 03:33:12 - mmengine - INFO - Epoch(train) [33][160/1879] lr: 2.0000e-02 eta: 21:18:29 time: 0.5701 data_time: 0.0217 memory: 13723 grad_norm: 3.8207 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2340 loss: 1.2340 2022/08/09 03:33:23 - mmengine - INFO - Epoch(train) [33][180/1879] lr: 2.0000e-02 eta: 21:18:15 time: 0.5681 data_time: 0.0226 memory: 13723 grad_norm: 3.8439 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4571 loss: 1.4571 2022/08/09 03:33:35 - mmengine - INFO - Epoch(train) [33][200/1879] lr: 2.0000e-02 eta: 21:18:02 time: 0.5736 data_time: 0.0282 memory: 13723 grad_norm: 3.9383 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3019 loss: 1.3019 2022/08/09 03:33:46 - mmengine - INFO - Epoch(train) [33][220/1879] lr: 2.0000e-02 eta: 21:17:49 time: 0.5737 data_time: 0.0217 memory: 13723 grad_norm: 3.8638 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3547 loss: 1.3547 2022/08/09 03:33:57 - mmengine - INFO - Epoch(train) [33][240/1879] lr: 2.0000e-02 eta: 21:17:36 time: 0.5702 data_time: 0.0256 memory: 13723 grad_norm: 3.8915 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4845 loss: 1.4845 2022/08/09 03:34:09 - mmengine - INFO - Epoch(train) [33][260/1879] lr: 2.0000e-02 eta: 21:17:22 time: 0.5726 data_time: 0.0232 memory: 13723 grad_norm: 3.9328 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3492 loss: 1.3492 2022/08/09 03:34:20 - mmengine - INFO - Epoch(train) [33][280/1879] lr: 2.0000e-02 eta: 21:17:09 time: 0.5768 data_time: 0.0254 memory: 13723 grad_norm: 3.8589 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5156 loss: 1.5156 2022/08/09 03:34:32 - mmengine - INFO - Epoch(train) [33][300/1879] lr: 2.0000e-02 eta: 21:16:57 time: 0.5853 data_time: 0.0211 memory: 13723 grad_norm: 3.7928 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3773 loss: 1.3773 2022/08/09 03:34:44 - mmengine - INFO - Epoch(train) [33][320/1879] lr: 2.0000e-02 eta: 21:16:44 time: 0.5900 data_time: 0.0318 memory: 13723 grad_norm: 3.9060 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6198 loss: 1.6198 2022/08/09 03:34:56 - mmengine - INFO - Epoch(train) [33][340/1879] lr: 2.0000e-02 eta: 21:16:31 time: 0.5796 data_time: 0.0207 memory: 13723 grad_norm: 3.8681 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7017 loss: 1.7017 2022/08/09 03:35:10 - mmengine - INFO - Epoch(train) [33][360/1879] lr: 2.0000e-02 eta: 21:16:24 time: 0.7228 data_time: 0.0420 memory: 13723 grad_norm: 3.9936 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5697 loss: 1.5697 2022/08/09 03:35:23 - mmengine - INFO - Epoch(train) [33][380/1879] lr: 2.0000e-02 eta: 21:16:13 time: 0.6222 data_time: 0.0234 memory: 13723 grad_norm: 3.7434 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6060 loss: 1.6060 2022/08/09 03:35:34 - mmengine - INFO - Epoch(train) [33][400/1879] lr: 2.0000e-02 eta: 21:16:01 time: 0.5879 data_time: 0.0256 memory: 13723 grad_norm: 3.9293 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5324 loss: 1.5324 2022/08/09 03:35:46 - mmengine - INFO - Epoch(train) [33][420/1879] lr: 2.0000e-02 eta: 21:15:47 time: 0.5737 data_time: 0.0199 memory: 13723 grad_norm: 3.8622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5229 loss: 1.5229 2022/08/09 03:35:57 - mmengine - INFO - Epoch(train) [33][440/1879] lr: 2.0000e-02 eta: 21:15:35 time: 0.5786 data_time: 0.0225 memory: 13723 grad_norm: 3.8494 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4355 loss: 1.4355 2022/08/09 03:36:09 - mmengine - INFO - Epoch(train) [33][460/1879] lr: 2.0000e-02 eta: 21:15:21 time: 0.5726 data_time: 0.0238 memory: 13723 grad_norm: 3.8177 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3141 loss: 1.3141 2022/08/09 03:36:20 - mmengine - INFO - Epoch(train) [33][480/1879] lr: 2.0000e-02 eta: 21:15:08 time: 0.5786 data_time: 0.0248 memory: 13723 grad_norm: 3.8530 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4884 loss: 1.4884 2022/08/09 03:36:32 - mmengine - INFO - Epoch(train) [33][500/1879] lr: 2.0000e-02 eta: 21:14:55 time: 0.5733 data_time: 0.0223 memory: 13723 grad_norm: 3.8728 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4276 loss: 1.4276 2022/08/09 03:36:44 - mmengine - INFO - Epoch(train) [33][520/1879] lr: 2.0000e-02 eta: 21:14:42 time: 0.5815 data_time: 0.0278 memory: 13723 grad_norm: 3.8857 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4635 loss: 1.4635 2022/08/09 03:36:55 - mmengine - INFO - Epoch(train) [33][540/1879] lr: 2.0000e-02 eta: 21:14:29 time: 0.5722 data_time: 0.0227 memory: 13723 grad_norm: 3.8212 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4471 loss: 1.4471 2022/08/09 03:37:06 - mmengine - INFO - Epoch(train) [33][560/1879] lr: 2.0000e-02 eta: 21:14:16 time: 0.5671 data_time: 0.0250 memory: 13723 grad_norm: 3.8553 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5376 loss: 1.5376 2022/08/09 03:37:19 - mmengine - INFO - Epoch(train) [33][580/1879] lr: 2.0000e-02 eta: 21:14:04 time: 0.6168 data_time: 0.0241 memory: 13723 grad_norm: 3.9001 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4537 loss: 1.4537 2022/08/09 03:37:30 - mmengine - INFO - Epoch(train) [33][600/1879] lr: 2.0000e-02 eta: 21:13:50 time: 0.5580 data_time: 0.0217 memory: 13723 grad_norm: 3.9479 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4050 loss: 1.4050 2022/08/09 03:37:41 - mmengine - INFO - Epoch(train) [33][620/1879] lr: 2.0000e-02 eta: 21:13:37 time: 0.5719 data_time: 0.0237 memory: 13723 grad_norm: 4.0339 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4282 loss: 1.4282 2022/08/09 03:37:53 - mmengine - INFO - Epoch(train) [33][640/1879] lr: 2.0000e-02 eta: 21:13:24 time: 0.5795 data_time: 0.0358 memory: 13723 grad_norm: 3.7844 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2306 loss: 1.2306 2022/08/09 03:38:04 - mmengine - INFO - Epoch(train) [33][660/1879] lr: 2.0000e-02 eta: 21:13:11 time: 0.5751 data_time: 0.0253 memory: 13723 grad_norm: 3.8979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5091 loss: 1.5091 2022/08/09 03:38:16 - mmengine - INFO - Epoch(train) [33][680/1879] lr: 2.0000e-02 eta: 21:12:58 time: 0.5789 data_time: 0.0231 memory: 13723 grad_norm: 3.7368 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6136 loss: 1.6136 2022/08/09 03:38:27 - mmengine - INFO - Epoch(train) [33][700/1879] lr: 2.0000e-02 eta: 21:12:45 time: 0.5726 data_time: 0.0213 memory: 13723 grad_norm: 3.8218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4214 loss: 1.4214 2022/08/09 03:38:39 - mmengine - INFO - Epoch(train) [33][720/1879] lr: 2.0000e-02 eta: 21:12:32 time: 0.5832 data_time: 0.0229 memory: 13723 grad_norm: 3.8743 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4637 loss: 1.4637 2022/08/09 03:38:52 - mmengine - INFO - Epoch(train) [33][740/1879] lr: 2.0000e-02 eta: 21:12:23 time: 0.6581 data_time: 0.0223 memory: 13723 grad_norm: 3.8640 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.4494 loss: 1.4494 2022/08/09 03:39:05 - mmengine - INFO - Epoch(train) [33][760/1879] lr: 2.0000e-02 eta: 21:12:12 time: 0.6255 data_time: 0.0181 memory: 13723 grad_norm: 3.8875 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5718 loss: 1.5718 2022/08/09 03:39:17 - mmengine - INFO - Epoch(train) [33][780/1879] lr: 2.0000e-02 eta: 21:12:00 time: 0.6009 data_time: 0.0200 memory: 13723 grad_norm: 3.7774 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.4620 loss: 1.4620 2022/08/09 03:39:28 - mmengine - INFO - Epoch(train) [33][800/1879] lr: 2.0000e-02 eta: 21:11:46 time: 0.5686 data_time: 0.0218 memory: 13723 grad_norm: 3.8551 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4371 loss: 1.4371 2022/08/09 03:39:40 - mmengine - INFO - Epoch(train) [33][820/1879] lr: 2.0000e-02 eta: 21:11:35 time: 0.6110 data_time: 0.0212 memory: 13723 grad_norm: 3.8353 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5434 loss: 1.5434 2022/08/09 03:39:53 - mmengine - INFO - Epoch(train) [33][840/1879] lr: 2.0000e-02 eta: 21:11:24 time: 0.6356 data_time: 0.0200 memory: 13723 grad_norm: 3.8515 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2802 loss: 1.2802 2022/08/09 03:40:05 - mmengine - INFO - Epoch(train) [33][860/1879] lr: 2.0000e-02 eta: 21:11:11 time: 0.5685 data_time: 0.0201 memory: 13723 grad_norm: 3.9458 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4761 loss: 1.4761 2022/08/09 03:40:14 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 03:40:19 - mmengine - INFO - Epoch(train) [33][880/1879] lr: 2.0000e-02 eta: 21:11:04 time: 0.7377 data_time: 0.1080 memory: 13723 grad_norm: 3.8430 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5518 loss: 1.5518 2022/08/09 03:40:32 - mmengine - INFO - Epoch(train) [33][900/1879] lr: 2.0000e-02 eta: 21:10:54 time: 0.6374 data_time: 0.0207 memory: 13723 grad_norm: 3.9252 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2750 loss: 1.2750 2022/08/09 03:40:44 - mmengine - INFO - Epoch(train) [33][920/1879] lr: 2.0000e-02 eta: 21:10:41 time: 0.5808 data_time: 0.0221 memory: 13723 grad_norm: 3.7853 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5526 loss: 1.5526 2022/08/09 03:40:55 - mmengine - INFO - Epoch(train) [33][940/1879] lr: 2.0000e-02 eta: 21:10:28 time: 0.5845 data_time: 0.0235 memory: 13723 grad_norm: 3.9360 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5385 loss: 1.5385 2022/08/09 03:41:07 - mmengine - INFO - Epoch(train) [33][960/1879] lr: 2.0000e-02 eta: 21:10:15 time: 0.5707 data_time: 0.0225 memory: 13723 grad_norm: 3.9731 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6234 loss: 1.6234 2022/08/09 03:41:19 - mmengine - INFO - Epoch(train) [33][980/1879] lr: 2.0000e-02 eta: 21:10:03 time: 0.5928 data_time: 0.0234 memory: 13723 grad_norm: 3.8703 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4579 loss: 1.4579 2022/08/09 03:41:30 - mmengine - INFO - Epoch(train) [33][1000/1879] lr: 2.0000e-02 eta: 21:09:50 time: 0.5766 data_time: 0.0216 memory: 13723 grad_norm: 3.9543 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.4830 loss: 1.4830 2022/08/09 03:41:42 - mmengine - INFO - Epoch(train) [33][1020/1879] lr: 2.0000e-02 eta: 21:09:38 time: 0.5996 data_time: 0.0213 memory: 13723 grad_norm: 3.9138 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3650 loss: 1.3650 2022/08/09 03:41:54 - mmengine - INFO - Epoch(train) [33][1040/1879] lr: 2.0000e-02 eta: 21:09:24 time: 0.5664 data_time: 0.0225 memory: 13723 grad_norm: 3.8552 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7137 loss: 1.7137 2022/08/09 03:42:05 - mmengine - INFO - Epoch(train) [33][1060/1879] lr: 2.0000e-02 eta: 21:09:11 time: 0.5736 data_time: 0.0238 memory: 13723 grad_norm: 3.7770 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2903 loss: 1.2903 2022/08/09 03:42:17 - mmengine - INFO - Epoch(train) [33][1080/1879] lr: 2.0000e-02 eta: 21:08:58 time: 0.5740 data_time: 0.0250 memory: 13723 grad_norm: 3.8695 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6357 loss: 1.6357 2022/08/09 03:42:28 - mmengine - INFO - Epoch(train) [33][1100/1879] lr: 2.0000e-02 eta: 21:08:45 time: 0.5855 data_time: 0.0440 memory: 13723 grad_norm: 3.8004 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3338 loss: 1.3338 2022/08/09 03:42:40 - mmengine - INFO - Epoch(train) [33][1120/1879] lr: 2.0000e-02 eta: 21:08:32 time: 0.5744 data_time: 0.0228 memory: 13723 grad_norm: 3.8598 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3439 loss: 1.3439 2022/08/09 03:42:51 - mmengine - INFO - Epoch(train) [33][1140/1879] lr: 2.0000e-02 eta: 21:08:19 time: 0.5686 data_time: 0.0231 memory: 13723 grad_norm: 3.9401 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5538 loss: 1.5538 2022/08/09 03:43:02 - mmengine - INFO - Epoch(train) [33][1160/1879] lr: 2.0000e-02 eta: 21:08:05 time: 0.5665 data_time: 0.0243 memory: 13723 grad_norm: 3.9282 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4919 loss: 1.4919 2022/08/09 03:43:14 - mmengine - INFO - Epoch(train) [33][1180/1879] lr: 2.0000e-02 eta: 21:07:52 time: 0.5754 data_time: 0.0210 memory: 13723 grad_norm: 3.8789 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3582 loss: 1.3582 2022/08/09 03:43:26 - mmengine - INFO - Epoch(train) [33][1200/1879] lr: 2.0000e-02 eta: 21:07:39 time: 0.5823 data_time: 0.0258 memory: 13723 grad_norm: 3.8551 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3991 loss: 1.3991 2022/08/09 03:43:37 - mmengine - INFO - Epoch(train) [33][1220/1879] lr: 2.0000e-02 eta: 21:07:26 time: 0.5749 data_time: 0.0199 memory: 13723 grad_norm: 3.9633 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4695 loss: 1.4695 2022/08/09 03:43:49 - mmengine - INFO - Epoch(train) [33][1240/1879] lr: 2.0000e-02 eta: 21:07:13 time: 0.5732 data_time: 0.0249 memory: 13723 grad_norm: 4.0166 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6694 loss: 1.6694 2022/08/09 03:44:00 - mmengine - INFO - Epoch(train) [33][1260/1879] lr: 2.0000e-02 eta: 21:07:00 time: 0.5701 data_time: 0.0217 memory: 13723 grad_norm: 3.7820 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4266 loss: 1.4266 2022/08/09 03:44:11 - mmengine - INFO - Epoch(train) [33][1280/1879] lr: 2.0000e-02 eta: 21:06:47 time: 0.5691 data_time: 0.0234 memory: 13723 grad_norm: 3.9074 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5011 loss: 1.5011 2022/08/09 03:44:23 - mmengine - INFO - Epoch(train) [33][1300/1879] lr: 2.0000e-02 eta: 21:06:33 time: 0.5650 data_time: 0.0217 memory: 13723 grad_norm: 3.9304 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4423 loss: 1.4423 2022/08/09 03:44:34 - mmengine - INFO - Epoch(train) [33][1320/1879] lr: 2.0000e-02 eta: 21:06:20 time: 0.5691 data_time: 0.0235 memory: 13723 grad_norm: 3.9954 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6465 loss: 1.6465 2022/08/09 03:44:46 - mmengine - INFO - Epoch(train) [33][1340/1879] lr: 2.0000e-02 eta: 21:06:06 time: 0.5720 data_time: 0.0253 memory: 13723 grad_norm: 3.9745 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3880 loss: 1.3880 2022/08/09 03:44:57 - mmengine - INFO - Epoch(train) [33][1360/1879] lr: 2.0000e-02 eta: 21:05:53 time: 0.5708 data_time: 0.0226 memory: 13723 grad_norm: 3.9935 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4462 loss: 1.4462 2022/08/09 03:45:12 - mmengine - INFO - Epoch(train) [33][1380/1879] lr: 2.0000e-02 eta: 21:05:46 time: 0.7267 data_time: 0.0218 memory: 13723 grad_norm: 3.9177 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3431 loss: 1.3431 2022/08/09 03:45:23 - mmengine - INFO - Epoch(train) [33][1400/1879] lr: 2.0000e-02 eta: 21:05:34 time: 0.5881 data_time: 0.0301 memory: 13723 grad_norm: 3.9597 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2974 loss: 1.2974 2022/08/09 03:45:36 - mmengine - INFO - Epoch(train) [33][1420/1879] lr: 2.0000e-02 eta: 21:05:24 time: 0.6570 data_time: 0.0225 memory: 13723 grad_norm: 3.9705 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6012 loss: 1.6012 2022/08/09 03:45:48 - mmengine - INFO - Epoch(train) [33][1440/1879] lr: 2.0000e-02 eta: 21:05:11 time: 0.5676 data_time: 0.0222 memory: 13723 grad_norm: 3.9932 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5850 loss: 1.5850 2022/08/09 03:45:59 - mmengine - INFO - Epoch(train) [33][1460/1879] lr: 2.0000e-02 eta: 21:04:57 time: 0.5650 data_time: 0.0232 memory: 13723 grad_norm: 3.9445 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3207 loss: 1.3207 2022/08/09 03:46:10 - mmengine - INFO - Epoch(train) [33][1480/1879] lr: 2.0000e-02 eta: 21:04:44 time: 0.5665 data_time: 0.0236 memory: 13723 grad_norm: 3.9598 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4239 loss: 1.4239 2022/08/09 03:46:22 - mmengine - INFO - Epoch(train) [33][1500/1879] lr: 2.0000e-02 eta: 21:04:31 time: 0.5739 data_time: 0.0233 memory: 13723 grad_norm: 3.8821 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4951 loss: 1.4951 2022/08/09 03:46:33 - mmengine - INFO - Epoch(train) [33][1520/1879] lr: 2.0000e-02 eta: 21:04:18 time: 0.5738 data_time: 0.0236 memory: 13723 grad_norm: 3.8421 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3209 loss: 1.3209 2022/08/09 03:46:45 - mmengine - INFO - Epoch(train) [33][1540/1879] lr: 2.0000e-02 eta: 21:04:05 time: 0.5942 data_time: 0.0257 memory: 13723 grad_norm: 3.9539 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4902 loss: 1.4902 2022/08/09 03:46:57 - mmengine - INFO - Epoch(train) [33][1560/1879] lr: 2.0000e-02 eta: 21:03:53 time: 0.6046 data_time: 0.0212 memory: 13723 grad_norm: 3.9285 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4849 loss: 1.4849 2022/08/09 03:47:09 - mmengine - INFO - Epoch(train) [33][1580/1879] lr: 2.0000e-02 eta: 21:03:40 time: 0.5758 data_time: 0.0239 memory: 13723 grad_norm: 3.7645 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.5386 loss: 1.5386 2022/08/09 03:47:20 - mmengine - INFO - Epoch(train) [33][1600/1879] lr: 2.0000e-02 eta: 21:03:27 time: 0.5709 data_time: 0.0257 memory: 13723 grad_norm: 3.8873 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4362 loss: 1.4362 2022/08/09 03:47:32 - mmengine - INFO - Epoch(train) [33][1620/1879] lr: 2.0000e-02 eta: 21:03:14 time: 0.5657 data_time: 0.0222 memory: 13723 grad_norm: 3.9798 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.4291 loss: 1.4291 2022/08/09 03:47:43 - mmengine - INFO - Epoch(train) [33][1640/1879] lr: 2.0000e-02 eta: 21:03:01 time: 0.5782 data_time: 0.0291 memory: 13723 grad_norm: 3.8933 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3234 loss: 1.3234 2022/08/09 03:47:56 - mmengine - INFO - Epoch(train) [33][1660/1879] lr: 2.0000e-02 eta: 21:02:49 time: 0.6150 data_time: 0.0549 memory: 13723 grad_norm: 3.8943 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5566 loss: 1.5566 2022/08/09 03:48:07 - mmengine - INFO - Epoch(train) [33][1680/1879] lr: 2.0000e-02 eta: 21:02:36 time: 0.5761 data_time: 0.0236 memory: 13723 grad_norm: 3.8370 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3447 loss: 1.3447 2022/08/09 03:48:19 - mmengine - INFO - Epoch(train) [33][1700/1879] lr: 2.0000e-02 eta: 21:02:23 time: 0.5766 data_time: 0.0204 memory: 13723 grad_norm: 3.9251 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5829 loss: 1.5829 2022/08/09 03:48:30 - mmengine - INFO - Epoch(train) [33][1720/1879] lr: 2.0000e-02 eta: 21:02:10 time: 0.5815 data_time: 0.0232 memory: 13723 grad_norm: 3.9297 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4458 loss: 1.4458 2022/08/09 03:48:42 - mmengine - INFO - Epoch(train) [33][1740/1879] lr: 2.0000e-02 eta: 21:01:58 time: 0.5794 data_time: 0.0239 memory: 13723 grad_norm: 3.8714 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3202 loss: 1.3202 2022/08/09 03:48:53 - mmengine - INFO - Epoch(train) [33][1760/1879] lr: 2.0000e-02 eta: 21:01:44 time: 0.5613 data_time: 0.0220 memory: 13723 grad_norm: 3.8730 top1_acc: 0.1250 top5_acc: 0.6875 loss_cls: 1.5139 loss: 1.5139 2022/08/09 03:49:05 - mmengine - INFO - Epoch(train) [33][1780/1879] lr: 2.0000e-02 eta: 21:01:31 time: 0.5688 data_time: 0.0239 memory: 13723 grad_norm: 3.8621 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4809 loss: 1.4809 2022/08/09 03:49:16 - mmengine - INFO - Epoch(train) [33][1800/1879] lr: 2.0000e-02 eta: 21:01:17 time: 0.5675 data_time: 0.0266 memory: 13723 grad_norm: 3.8538 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5364 loss: 1.5364 2022/08/09 03:49:27 - mmengine - INFO - Epoch(train) [33][1820/1879] lr: 2.0000e-02 eta: 21:01:04 time: 0.5775 data_time: 0.0251 memory: 13723 grad_norm: 3.8270 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.3459 loss: 1.3459 2022/08/09 03:49:39 - mmengine - INFO - Epoch(train) [33][1840/1879] lr: 2.0000e-02 eta: 21:00:51 time: 0.5695 data_time: 0.0244 memory: 13723 grad_norm: 3.8180 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.4381 loss: 1.4381 2022/08/09 03:49:50 - mmengine - INFO - Epoch(train) [33][1860/1879] lr: 2.0000e-02 eta: 21:00:38 time: 0.5696 data_time: 0.0224 memory: 13723 grad_norm: 3.8093 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4209 loss: 1.4209 2022/08/09 03:49:57 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 03:50:00 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 03:50:00 - mmengine - INFO - Epoch(train) [33][1879/1879] lr: 2.0000e-02 eta: 21:00:38 time: 0.5413 data_time: 0.0227 memory: 13723 grad_norm: 3.8844 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.6181 loss: 1.6181 2022/08/09 03:50:01 - mmengine - INFO - Saving checkpoint at 33 epochs 2022/08/09 03:50:24 - mmengine - INFO - Epoch(val) [33][20/155] eta: 0:02:24 time: 1.0728 data_time: 0.9353 memory: 1829 2022/08/09 03:50:32 - mmengine - INFO - Epoch(val) [33][40/155] eta: 0:00:49 time: 0.4287 data_time: 0.2894 memory: 1829 2022/08/09 03:50:45 - mmengine - INFO - Epoch(val) [33][60/155] eta: 0:01:02 time: 0.6569 data_time: 0.5175 memory: 1829 2022/08/09 03:50:55 - mmengine - INFO - Epoch(val) [33][80/155] eta: 0:00:36 time: 0.4927 data_time: 0.3535 memory: 1829 2022/08/09 03:51:08 - mmengine - INFO - Epoch(val) [33][100/155] eta: 0:00:34 time: 0.6342 data_time: 0.4914 memory: 1829 2022/08/09 03:51:17 - mmengine - INFO - Epoch(val) [33][120/155] eta: 0:00:15 time: 0.4438 data_time: 0.3044 memory: 1829 2022/08/09 03:51:30 - mmengine - INFO - Epoch(val) [33][140/155] eta: 0:00:09 time: 0.6377 data_time: 0.4959 memory: 1829 2022/08/09 03:51:37 - mmengine - INFO - Epoch(val) [33][155/155] acc/top1: 0.6087 acc/top5: 0.8351 acc/mean1: 0.6085 2022/08/09 03:51:55 - mmengine - INFO - Epoch(train) [34][20/1879] lr: 2.0000e-02 eta: 21:00:02 time: 0.8795 data_time: 0.2186 memory: 13723 grad_norm: 3.8143 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4578 loss: 1.4578 2022/08/09 03:52:07 - mmengine - INFO - Epoch(train) [34][40/1879] lr: 2.0000e-02 eta: 20:59:50 time: 0.5885 data_time: 0.0410 memory: 13723 grad_norm: 3.8123 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3223 loss: 1.3223 2022/08/09 03:52:18 - mmengine - INFO - Epoch(train) [34][60/1879] lr: 2.0000e-02 eta: 20:59:37 time: 0.5689 data_time: 0.0233 memory: 13723 grad_norm: 3.7766 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3647 loss: 1.3647 2022/08/09 03:52:30 - mmengine - INFO - Epoch(train) [34][80/1879] lr: 2.0000e-02 eta: 20:59:24 time: 0.5739 data_time: 0.0232 memory: 13723 grad_norm: 3.8422 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3834 loss: 1.3834 2022/08/09 03:52:41 - mmengine - INFO - Epoch(train) [34][100/1879] lr: 2.0000e-02 eta: 20:59:10 time: 0.5701 data_time: 0.0239 memory: 13723 grad_norm: 3.8146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2306 loss: 1.2306 2022/08/09 03:52:53 - mmengine - INFO - Epoch(train) [34][120/1879] lr: 2.0000e-02 eta: 20:58:59 time: 0.6107 data_time: 0.0224 memory: 13723 grad_norm: 3.8107 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3380 loss: 1.3380 2022/08/09 03:53:05 - mmengine - INFO - Epoch(train) [34][140/1879] lr: 2.0000e-02 eta: 20:58:45 time: 0.5644 data_time: 0.0204 memory: 13723 grad_norm: 3.7920 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3534 loss: 1.3534 2022/08/09 03:53:17 - mmengine - INFO - Epoch(train) [34][160/1879] lr: 2.0000e-02 eta: 20:58:33 time: 0.6058 data_time: 0.0462 memory: 13723 grad_norm: 3.7592 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2544 loss: 1.2544 2022/08/09 03:53:28 - mmengine - INFO - Epoch(train) [34][180/1879] lr: 2.0000e-02 eta: 20:58:20 time: 0.5665 data_time: 0.0216 memory: 13723 grad_norm: 3.9195 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4441 loss: 1.4441 2022/08/09 03:53:40 - mmengine - INFO - Epoch(train) [34][200/1879] lr: 2.0000e-02 eta: 20:58:07 time: 0.5749 data_time: 0.0240 memory: 13723 grad_norm: 3.9145 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4335 loss: 1.4335 2022/08/09 03:53:51 - mmengine - INFO - Epoch(train) [34][220/1879] lr: 2.0000e-02 eta: 20:57:54 time: 0.5697 data_time: 0.0221 memory: 13723 grad_norm: 3.9333 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4574 loss: 1.4574 2022/08/09 03:54:03 - mmengine - INFO - Epoch(train) [34][240/1879] lr: 2.0000e-02 eta: 20:57:42 time: 0.5949 data_time: 0.0262 memory: 13723 grad_norm: 3.9313 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3831 loss: 1.3831 2022/08/09 03:54:14 - mmengine - INFO - Epoch(train) [34][260/1879] lr: 2.0000e-02 eta: 20:57:28 time: 0.5728 data_time: 0.0193 memory: 13723 grad_norm: 3.8970 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3307 loss: 1.3307 2022/08/09 03:54:26 - mmengine - INFO - Epoch(train) [34][280/1879] lr: 2.0000e-02 eta: 20:57:16 time: 0.5943 data_time: 0.0247 memory: 13723 grad_norm: 3.9213 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4860 loss: 1.4860 2022/08/09 03:54:38 - mmengine - INFO - Epoch(train) [34][300/1879] lr: 2.0000e-02 eta: 20:57:04 time: 0.5889 data_time: 0.0253 memory: 13723 grad_norm: 3.9977 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5893 loss: 1.5893 2022/08/09 03:54:50 - mmengine - INFO - Epoch(train) [34][320/1879] lr: 2.0000e-02 eta: 20:56:51 time: 0.5735 data_time: 0.0251 memory: 13723 grad_norm: 3.7958 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4820 loss: 1.4820 2022/08/09 03:55:01 - mmengine - INFO - Epoch(train) [34][340/1879] lr: 2.0000e-02 eta: 20:56:38 time: 0.5776 data_time: 0.0225 memory: 13723 grad_norm: 3.7695 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4383 loss: 1.4383 2022/08/09 03:55:17 - mmengine - INFO - Epoch(train) [34][360/1879] lr: 2.0000e-02 eta: 20:56:34 time: 0.7970 data_time: 0.1569 memory: 13723 grad_norm: 3.9198 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3126 loss: 1.3126 2022/08/09 03:55:29 - mmengine - INFO - Epoch(train) [34][380/1879] lr: 2.0000e-02 eta: 20:56:21 time: 0.5912 data_time: 0.0223 memory: 13723 grad_norm: 3.9657 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4629 loss: 1.4629 2022/08/09 03:55:41 - mmengine - INFO - Epoch(train) [34][400/1879] lr: 2.0000e-02 eta: 20:56:08 time: 0.5845 data_time: 0.0242 memory: 13723 grad_norm: 3.9985 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5848 loss: 1.5848 2022/08/09 03:55:53 - mmengine - INFO - Epoch(train) [34][420/1879] lr: 2.0000e-02 eta: 20:55:58 time: 0.6341 data_time: 0.0336 memory: 13723 grad_norm: 3.9360 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5360 loss: 1.5360 2022/08/09 03:56:05 - mmengine - INFO - Epoch(train) [34][440/1879] lr: 2.0000e-02 eta: 20:55:44 time: 0.5640 data_time: 0.0224 memory: 13723 grad_norm: 3.9278 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4683 loss: 1.4683 2022/08/09 03:56:16 - mmengine - INFO - Epoch(train) [34][460/1879] lr: 2.0000e-02 eta: 20:55:31 time: 0.5676 data_time: 0.0213 memory: 13723 grad_norm: 3.8313 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4908 loss: 1.4908 2022/08/09 03:56:27 - mmengine - INFO - Epoch(train) [34][480/1879] lr: 2.0000e-02 eta: 20:55:18 time: 0.5692 data_time: 0.0244 memory: 13723 grad_norm: 3.9733 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5654 loss: 1.5654 2022/08/09 03:56:39 - mmengine - INFO - Epoch(train) [34][500/1879] lr: 2.0000e-02 eta: 20:55:05 time: 0.5739 data_time: 0.0223 memory: 13723 grad_norm: 3.9086 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5123 loss: 1.5123 2022/08/09 03:56:50 - mmengine - INFO - Epoch(train) [34][520/1879] lr: 2.0000e-02 eta: 20:54:51 time: 0.5638 data_time: 0.0224 memory: 13723 grad_norm: 3.9132 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5465 loss: 1.5465 2022/08/09 03:57:02 - mmengine - INFO - Epoch(train) [34][540/1879] lr: 2.0000e-02 eta: 20:54:38 time: 0.5728 data_time: 0.0249 memory: 13723 grad_norm: 3.8903 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2637 loss: 1.2637 2022/08/09 03:57:13 - mmengine - INFO - Epoch(train) [34][560/1879] lr: 2.0000e-02 eta: 20:54:25 time: 0.5726 data_time: 0.0224 memory: 13723 grad_norm: 3.9681 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3753 loss: 1.3753 2022/08/09 03:57:25 - mmengine - INFO - Epoch(train) [34][580/1879] lr: 2.0000e-02 eta: 20:54:13 time: 0.6030 data_time: 0.0240 memory: 13723 grad_norm: 3.8344 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4728 loss: 1.4728 2022/08/09 03:57:37 - mmengine - INFO - Epoch(train) [34][600/1879] lr: 2.0000e-02 eta: 20:54:00 time: 0.5657 data_time: 0.0216 memory: 13723 grad_norm: 3.9774 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5436 loss: 1.5436 2022/08/09 03:57:48 - mmengine - INFO - Epoch(train) [34][620/1879] lr: 2.0000e-02 eta: 20:53:46 time: 0.5681 data_time: 0.0233 memory: 13723 grad_norm: 3.8859 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4884 loss: 1.4884 2022/08/09 03:58:00 - mmengine - INFO - Epoch(train) [34][640/1879] lr: 2.0000e-02 eta: 20:53:34 time: 0.5901 data_time: 0.0249 memory: 13723 grad_norm: 3.9369 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4719 loss: 1.4719 2022/08/09 03:58:11 - mmengine - INFO - Epoch(train) [34][660/1879] lr: 2.0000e-02 eta: 20:53:21 time: 0.5797 data_time: 0.0222 memory: 13723 grad_norm: 4.0218 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7356 loss: 1.7356 2022/08/09 03:58:24 - mmengine - INFO - Epoch(train) [34][680/1879] lr: 2.0000e-02 eta: 20:53:10 time: 0.6277 data_time: 0.0204 memory: 13723 grad_norm: 3.8498 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3224 loss: 1.3224 2022/08/09 03:58:35 - mmengine - INFO - Epoch(train) [34][700/1879] lr: 2.0000e-02 eta: 20:52:57 time: 0.5771 data_time: 0.0216 memory: 13723 grad_norm: 3.7688 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2788 loss: 1.2788 2022/08/09 03:58:47 - mmengine - INFO - Epoch(train) [34][720/1879] lr: 2.0000e-02 eta: 20:52:44 time: 0.5685 data_time: 0.0251 memory: 13723 grad_norm: 3.8759 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4353 loss: 1.4353 2022/08/09 03:58:59 - mmengine - INFO - Epoch(train) [34][740/1879] lr: 2.0000e-02 eta: 20:52:31 time: 0.5868 data_time: 0.0199 memory: 13723 grad_norm: 3.8526 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2390 loss: 1.2390 2022/08/09 03:59:10 - mmengine - INFO - Epoch(train) [34][760/1879] lr: 2.0000e-02 eta: 20:52:18 time: 0.5752 data_time: 0.0242 memory: 13723 grad_norm: 3.8608 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3823 loss: 1.3823 2022/08/09 03:59:22 - mmengine - INFO - Epoch(train) [34][780/1879] lr: 2.0000e-02 eta: 20:52:05 time: 0.5754 data_time: 0.0212 memory: 13723 grad_norm: 3.9116 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5151 loss: 1.5151 2022/08/09 03:59:33 - mmengine - INFO - Epoch(train) [34][800/1879] lr: 2.0000e-02 eta: 20:51:52 time: 0.5641 data_time: 0.0262 memory: 13723 grad_norm: 3.9448 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3557 loss: 1.3557 2022/08/09 03:59:45 - mmengine - INFO - Epoch(train) [34][820/1879] lr: 2.0000e-02 eta: 20:51:39 time: 0.5846 data_time: 0.0231 memory: 13723 grad_norm: 4.0355 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2905 loss: 1.2905 2022/08/09 03:59:56 - mmengine - INFO - Epoch(train) [34][840/1879] lr: 2.0000e-02 eta: 20:51:26 time: 0.5758 data_time: 0.0233 memory: 13723 grad_norm: 3.9901 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3667 loss: 1.3667 2022/08/09 04:00:07 - mmengine - INFO - Epoch(train) [34][860/1879] lr: 2.0000e-02 eta: 20:51:13 time: 0.5635 data_time: 0.0201 memory: 13723 grad_norm: 3.9278 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3538 loss: 1.3538 2022/08/09 04:00:21 - mmengine - INFO - Epoch(train) [34][880/1879] lr: 2.0000e-02 eta: 20:51:03 time: 0.6605 data_time: 0.0221 memory: 13723 grad_norm: 3.8779 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3471 loss: 1.3471 2022/08/09 04:00:34 - mmengine - INFO - Epoch(train) [34][900/1879] lr: 2.0000e-02 eta: 20:50:53 time: 0.6505 data_time: 0.0219 memory: 13723 grad_norm: 3.8713 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4114 loss: 1.4114 2022/08/09 04:00:45 - mmengine - INFO - Epoch(train) [34][920/1879] lr: 2.0000e-02 eta: 20:50:40 time: 0.5829 data_time: 0.0248 memory: 13723 grad_norm: 3.8705 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3892 loss: 1.3892 2022/08/09 04:00:57 - mmengine - INFO - Epoch(train) [34][940/1879] lr: 2.0000e-02 eta: 20:50:27 time: 0.5758 data_time: 0.0239 memory: 13723 grad_norm: 3.9125 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5364 loss: 1.5364 2022/08/09 04:01:09 - mmengine - INFO - Epoch(train) [34][960/1879] lr: 2.0000e-02 eta: 20:50:15 time: 0.6019 data_time: 0.0206 memory: 13723 grad_norm: 3.8086 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2864 loss: 1.2864 2022/08/09 04:01:20 - mmengine - INFO - Epoch(train) [34][980/1879] lr: 2.0000e-02 eta: 20:50:02 time: 0.5691 data_time: 0.0249 memory: 13723 grad_norm: 3.9208 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3775 loss: 1.3775 2022/08/09 04:01:28 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 04:01:32 - mmengine - INFO - Epoch(train) [34][1000/1879] lr: 2.0000e-02 eta: 20:49:49 time: 0.5714 data_time: 0.0273 memory: 13723 grad_norm: 4.0098 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.2716 loss: 1.2716 2022/08/09 04:01:43 - mmengine - INFO - Epoch(train) [34][1020/1879] lr: 2.0000e-02 eta: 20:49:36 time: 0.5707 data_time: 0.0223 memory: 13723 grad_norm: 3.9089 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3091 loss: 1.3091 2022/08/09 04:01:55 - mmengine - INFO - Epoch(train) [34][1040/1879] lr: 2.0000e-02 eta: 20:49:23 time: 0.5706 data_time: 0.0280 memory: 13723 grad_norm: 3.9060 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6415 loss: 1.6415 2022/08/09 04:02:06 - mmengine - INFO - Epoch(train) [34][1060/1879] lr: 2.0000e-02 eta: 20:49:09 time: 0.5719 data_time: 0.0206 memory: 13723 grad_norm: 4.0092 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5144 loss: 1.5144 2022/08/09 04:02:17 - mmengine - INFO - Epoch(train) [34][1080/1879] lr: 2.0000e-02 eta: 20:48:56 time: 0.5676 data_time: 0.0241 memory: 13723 grad_norm: 3.8141 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6762 loss: 1.6762 2022/08/09 04:02:29 - mmengine - INFO - Epoch(train) [34][1100/1879] lr: 2.0000e-02 eta: 20:48:43 time: 0.5676 data_time: 0.0241 memory: 13723 grad_norm: 3.8347 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3688 loss: 1.3688 2022/08/09 04:02:40 - mmengine - INFO - Epoch(train) [34][1120/1879] lr: 2.0000e-02 eta: 20:48:30 time: 0.5697 data_time: 0.0247 memory: 13723 grad_norm: 3.9403 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3132 loss: 1.3132 2022/08/09 04:02:53 - mmengine - INFO - Epoch(train) [34][1140/1879] lr: 2.0000e-02 eta: 20:48:19 time: 0.6246 data_time: 0.0201 memory: 13723 grad_norm: 3.8154 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4431 loss: 1.4431 2022/08/09 04:03:04 - mmengine - INFO - Epoch(train) [34][1160/1879] lr: 2.0000e-02 eta: 20:48:05 time: 0.5663 data_time: 0.0232 memory: 13723 grad_norm: 3.9531 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4928 loss: 1.4928 2022/08/09 04:03:15 - mmengine - INFO - Epoch(train) [34][1180/1879] lr: 2.0000e-02 eta: 20:47:52 time: 0.5757 data_time: 0.0243 memory: 13723 grad_norm: 3.8147 top1_acc: 0.3125 top5_acc: 0.9375 loss_cls: 1.3253 loss: 1.3253 2022/08/09 04:03:27 - mmengine - INFO - Epoch(train) [34][1200/1879] lr: 2.0000e-02 eta: 20:47:39 time: 0.5753 data_time: 0.0277 memory: 13723 grad_norm: 3.9490 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3952 loss: 1.3952 2022/08/09 04:03:38 - mmengine - INFO - Epoch(train) [34][1220/1879] lr: 2.0000e-02 eta: 20:47:26 time: 0.5752 data_time: 0.0187 memory: 13723 grad_norm: 3.9156 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6660 loss: 1.6660 2022/08/09 04:03:50 - mmengine - INFO - Epoch(train) [34][1240/1879] lr: 2.0000e-02 eta: 20:47:14 time: 0.5988 data_time: 0.0234 memory: 13723 grad_norm: 3.9017 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5544 loss: 1.5544 2022/08/09 04:04:02 - mmengine - INFO - Epoch(train) [34][1260/1879] lr: 2.0000e-02 eta: 20:47:01 time: 0.5703 data_time: 0.0230 memory: 13723 grad_norm: 3.9850 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3882 loss: 1.3882 2022/08/09 04:04:14 - mmengine - INFO - Epoch(train) [34][1280/1879] lr: 2.0000e-02 eta: 20:46:48 time: 0.5686 data_time: 0.0242 memory: 13723 grad_norm: 3.9256 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3440 loss: 1.3440 2022/08/09 04:04:25 - mmengine - INFO - Epoch(train) [34][1300/1879] lr: 2.0000e-02 eta: 20:46:35 time: 0.5912 data_time: 0.0404 memory: 13723 grad_norm: 4.0502 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5664 loss: 1.5664 2022/08/09 04:04:37 - mmengine - INFO - Epoch(train) [34][1320/1879] lr: 2.0000e-02 eta: 20:46:22 time: 0.5749 data_time: 0.0273 memory: 13723 grad_norm: 3.8124 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2539 loss: 1.2539 2022/08/09 04:05:01 - mmengine - INFO - Epoch(train) [34][1340/1879] lr: 2.0000e-02 eta: 20:46:35 time: 1.2317 data_time: 0.0210 memory: 13723 grad_norm: 3.8980 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3614 loss: 1.3614 2022/08/09 04:05:15 - mmengine - INFO - Epoch(train) [34][1360/1879] lr: 2.0000e-02 eta: 20:46:27 time: 0.6849 data_time: 0.0231 memory: 13723 grad_norm: 3.8753 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5443 loss: 1.5443 2022/08/09 04:05:29 - mmengine - INFO - Epoch(train) [34][1380/1879] lr: 2.0000e-02 eta: 20:46:18 time: 0.6919 data_time: 0.0263 memory: 13723 grad_norm: 3.9586 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5851 loss: 1.5851 2022/08/09 04:05:41 - mmengine - INFO - Epoch(train) [34][1400/1879] lr: 2.0000e-02 eta: 20:46:07 time: 0.6187 data_time: 0.0208 memory: 13723 grad_norm: 3.8301 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4046 loss: 1.4046 2022/08/09 04:05:53 - mmengine - INFO - Epoch(train) [34][1420/1879] lr: 2.0000e-02 eta: 20:45:54 time: 0.5850 data_time: 0.0194 memory: 13723 grad_norm: 3.8620 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3273 loss: 1.3273 2022/08/09 04:06:04 - mmengine - INFO - Epoch(train) [34][1440/1879] lr: 2.0000e-02 eta: 20:45:41 time: 0.5704 data_time: 0.0235 memory: 13723 grad_norm: 3.9549 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5326 loss: 1.5326 2022/08/09 04:06:16 - mmengine - INFO - Epoch(train) [34][1460/1879] lr: 2.0000e-02 eta: 20:45:29 time: 0.5910 data_time: 0.0480 memory: 13723 grad_norm: 3.9422 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7435 loss: 1.7435 2022/08/09 04:06:28 - mmengine - INFO - Epoch(train) [34][1480/1879] lr: 2.0000e-02 eta: 20:45:15 time: 0.5678 data_time: 0.0253 memory: 13723 grad_norm: 3.9815 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5241 loss: 1.5241 2022/08/09 04:06:39 - mmengine - INFO - Epoch(train) [34][1500/1879] lr: 2.0000e-02 eta: 20:45:02 time: 0.5775 data_time: 0.0191 memory: 13723 grad_norm: 3.8713 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5269 loss: 1.5269 2022/08/09 04:06:51 - mmengine - INFO - Epoch(train) [34][1520/1879] lr: 2.0000e-02 eta: 20:44:49 time: 0.5730 data_time: 0.0254 memory: 13723 grad_norm: 3.9960 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5680 loss: 1.5680 2022/08/09 04:07:02 - mmengine - INFO - Epoch(train) [34][1540/1879] lr: 2.0000e-02 eta: 20:44:37 time: 0.5858 data_time: 0.0222 memory: 13723 grad_norm: 4.0681 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4353 loss: 1.4353 2022/08/09 04:07:14 - mmengine - INFO - Epoch(train) [34][1560/1879] lr: 2.0000e-02 eta: 20:44:23 time: 0.5652 data_time: 0.0236 memory: 13723 grad_norm: 3.8567 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4687 loss: 1.4687 2022/08/09 04:07:25 - mmengine - INFO - Epoch(train) [34][1580/1879] lr: 2.0000e-02 eta: 20:44:10 time: 0.5755 data_time: 0.0229 memory: 13723 grad_norm: 3.7550 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2954 loss: 1.2954 2022/08/09 04:07:38 - mmengine - INFO - Epoch(train) [34][1600/1879] lr: 2.0000e-02 eta: 20:43:59 time: 0.6288 data_time: 0.0219 memory: 13723 grad_norm: 3.8053 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3646 loss: 1.3646 2022/08/09 04:07:49 - mmengine - INFO - Epoch(train) [34][1620/1879] lr: 2.0000e-02 eta: 20:43:46 time: 0.5705 data_time: 0.0236 memory: 13723 grad_norm: 3.8631 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4219 loss: 1.4219 2022/08/09 04:08:01 - mmengine - INFO - Epoch(train) [34][1640/1879] lr: 2.0000e-02 eta: 20:43:33 time: 0.5782 data_time: 0.0339 memory: 13723 grad_norm: 3.9482 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4654 loss: 1.4654 2022/08/09 04:08:12 - mmengine - INFO - Epoch(train) [34][1660/1879] lr: 2.0000e-02 eta: 20:43:20 time: 0.5787 data_time: 0.0231 memory: 13723 grad_norm: 3.8886 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4801 loss: 1.4801 2022/08/09 04:08:24 - mmengine - INFO - Epoch(train) [34][1680/1879] lr: 2.0000e-02 eta: 20:43:07 time: 0.5752 data_time: 0.0243 memory: 13723 grad_norm: 3.8669 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.5120 loss: 1.5120 2022/08/09 04:08:35 - mmengine - INFO - Epoch(train) [34][1700/1879] lr: 2.0000e-02 eta: 20:42:54 time: 0.5734 data_time: 0.0221 memory: 13723 grad_norm: 3.8761 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5440 loss: 1.5440 2022/08/09 04:08:47 - mmengine - INFO - Epoch(train) [34][1720/1879] lr: 2.0000e-02 eta: 20:42:41 time: 0.5748 data_time: 0.0271 memory: 13723 grad_norm: 3.9388 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5905 loss: 1.5905 2022/08/09 04:08:59 - mmengine - INFO - Epoch(train) [34][1740/1879] lr: 2.0000e-02 eta: 20:42:29 time: 0.5940 data_time: 0.0431 memory: 13723 grad_norm: 3.8351 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3008 loss: 1.3008 2022/08/09 04:09:10 - mmengine - INFO - Epoch(train) [34][1760/1879] lr: 2.0000e-02 eta: 20:42:16 time: 0.5776 data_time: 0.0216 memory: 13723 grad_norm: 3.8452 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4579 loss: 1.4579 2022/08/09 04:09:22 - mmengine - INFO - Epoch(train) [34][1780/1879] lr: 2.0000e-02 eta: 20:42:04 time: 0.5883 data_time: 0.0247 memory: 13723 grad_norm: 4.0108 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5112 loss: 1.5112 2022/08/09 04:09:33 - mmengine - INFO - Epoch(train) [34][1800/1879] lr: 2.0000e-02 eta: 20:41:51 time: 0.5713 data_time: 0.0229 memory: 13723 grad_norm: 3.8480 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6056 loss: 1.6056 2022/08/09 04:09:45 - mmengine - INFO - Epoch(train) [34][1820/1879] lr: 2.0000e-02 eta: 20:41:38 time: 0.5967 data_time: 0.0439 memory: 13723 grad_norm: 3.8623 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3253 loss: 1.3253 2022/08/09 04:09:57 - mmengine - INFO - Epoch(train) [34][1840/1879] lr: 2.0000e-02 eta: 20:41:26 time: 0.5947 data_time: 0.0222 memory: 13723 grad_norm: 3.9650 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4539 loss: 1.4539 2022/08/09 04:10:13 - mmengine - INFO - Epoch(train) [34][1860/1879] lr: 2.0000e-02 eta: 20:41:21 time: 0.7765 data_time: 0.0219 memory: 13723 grad_norm: 3.9640 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4233 loss: 1.4233 2022/08/09 04:10:24 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 04:10:24 - mmengine - INFO - Epoch(train) [34][1879/1879] lr: 2.0000e-02 eta: 20:41:21 time: 0.5885 data_time: 0.0206 memory: 13723 grad_norm: 4.0224 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.3090 loss: 1.3090 2022/08/09 04:10:37 - mmengine - INFO - Epoch(val) [34][20/155] eta: 0:01:29 time: 0.6644 data_time: 0.5228 memory: 1829 2022/08/09 04:10:50 - mmengine - INFO - Epoch(val) [34][40/155] eta: 0:01:09 time: 0.6084 data_time: 0.4695 memory: 1829 2022/08/09 04:10:59 - mmengine - INFO - Epoch(val) [34][60/155] eta: 0:00:44 time: 0.4733 data_time: 0.3343 memory: 1829 2022/08/09 04:11:12 - mmengine - INFO - Epoch(val) [34][80/155] eta: 0:00:50 time: 0.6681 data_time: 0.5287 memory: 1829 2022/08/09 04:11:22 - mmengine - INFO - Epoch(val) [34][100/155] eta: 0:00:26 time: 0.4761 data_time: 0.3362 memory: 1829 2022/08/09 04:11:36 - mmengine - INFO - Epoch(val) [34][120/155] eta: 0:00:24 time: 0.6915 data_time: 0.5495 memory: 1829 2022/08/09 04:11:45 - mmengine - INFO - Epoch(val) [34][140/155] eta: 0:00:06 time: 0.4436 data_time: 0.3070 memory: 1829 2022/08/09 04:11:56 - mmengine - INFO - Epoch(val) [34][155/155] acc/top1: 0.6219 acc/top5: 0.8446 acc/mean1: 0.6218 2022/08/09 04:12:13 - mmengine - INFO - Epoch(train) [35][20/1879] lr: 2.0000e-02 eta: 20:40:45 time: 0.8470 data_time: 0.2821 memory: 13723 grad_norm: 3.7816 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3921 loss: 1.3921 2022/08/09 04:12:27 - mmengine - INFO - Epoch(train) [35][40/1879] lr: 2.0000e-02 eta: 20:40:36 time: 0.6631 data_time: 0.0453 memory: 13723 grad_norm: 3.8708 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4246 loss: 1.4246 2022/08/09 04:12:38 - mmengine - INFO - Epoch(train) [35][60/1879] lr: 2.0000e-02 eta: 20:40:23 time: 0.5749 data_time: 0.0231 memory: 13723 grad_norm: 3.7627 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3765 loss: 1.3765 2022/08/09 04:12:50 - mmengine - INFO - Epoch(train) [35][80/1879] lr: 2.0000e-02 eta: 20:40:09 time: 0.5708 data_time: 0.0228 memory: 13723 grad_norm: 3.8367 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3620 loss: 1.3620 2022/08/09 04:13:02 - mmengine - INFO - Epoch(train) [35][100/1879] lr: 2.0000e-02 eta: 20:39:59 time: 0.6351 data_time: 0.0234 memory: 13723 grad_norm: 3.9245 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3507 loss: 1.3507 2022/08/09 04:13:10 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 04:13:14 - mmengine - INFO - Epoch(train) [35][120/1879] lr: 2.0000e-02 eta: 20:39:45 time: 0.5668 data_time: 0.0208 memory: 13723 grad_norm: 3.9167 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4349 loss: 1.4349 2022/08/09 04:13:25 - mmengine - INFO - Epoch(train) [35][140/1879] lr: 2.0000e-02 eta: 20:39:33 time: 0.5798 data_time: 0.0244 memory: 13723 grad_norm: 3.8186 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.2377 loss: 1.2377 2022/08/09 04:13:37 - mmengine - INFO - Epoch(train) [35][160/1879] lr: 2.0000e-02 eta: 20:39:20 time: 0.5788 data_time: 0.0219 memory: 13723 grad_norm: 3.9160 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4441 loss: 1.4441 2022/08/09 04:13:48 - mmengine - INFO - Epoch(train) [35][180/1879] lr: 2.0000e-02 eta: 20:39:07 time: 0.5764 data_time: 0.0238 memory: 13723 grad_norm: 3.9083 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4327 loss: 1.4327 2022/08/09 04:14:00 - mmengine - INFO - Epoch(train) [35][200/1879] lr: 2.0000e-02 eta: 20:38:54 time: 0.5705 data_time: 0.0213 memory: 13723 grad_norm: 3.9891 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4687 loss: 1.4687 2022/08/09 04:14:11 - mmengine - INFO - Epoch(train) [35][220/1879] lr: 2.0000e-02 eta: 20:38:41 time: 0.5847 data_time: 0.0245 memory: 13723 grad_norm: 3.9287 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4855 loss: 1.4855 2022/08/09 04:14:23 - mmengine - INFO - Epoch(train) [35][240/1879] lr: 2.0000e-02 eta: 20:38:28 time: 0.5663 data_time: 0.0231 memory: 13723 grad_norm: 3.8719 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4537 loss: 1.4537 2022/08/09 04:14:34 - mmengine - INFO - Epoch(train) [35][260/1879] lr: 2.0000e-02 eta: 20:38:15 time: 0.5797 data_time: 0.0251 memory: 13723 grad_norm: 3.9092 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5579 loss: 1.5579 2022/08/09 04:14:46 - mmengine - INFO - Epoch(train) [35][280/1879] lr: 2.0000e-02 eta: 20:38:02 time: 0.5676 data_time: 0.0212 memory: 13723 grad_norm: 3.9058 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3028 loss: 1.3028 2022/08/09 04:14:57 - mmengine - INFO - Epoch(train) [35][300/1879] lr: 2.0000e-02 eta: 20:37:49 time: 0.5799 data_time: 0.0278 memory: 13723 grad_norm: 3.9734 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4983 loss: 1.4983 2022/08/09 04:15:09 - mmengine - INFO - Epoch(train) [35][320/1879] lr: 2.0000e-02 eta: 20:37:36 time: 0.5664 data_time: 0.0202 memory: 13723 grad_norm: 3.9014 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5027 loss: 1.5027 2022/08/09 04:15:24 - mmengine - INFO - Epoch(train) [35][340/1879] lr: 2.0000e-02 eta: 20:37:31 time: 0.7860 data_time: 0.0205 memory: 13723 grad_norm: 4.0222 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4621 loss: 1.4621 2022/08/09 04:15:36 - mmengine - INFO - Epoch(train) [35][360/1879] lr: 2.0000e-02 eta: 20:37:17 time: 0.5680 data_time: 0.0218 memory: 13723 grad_norm: 3.9830 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6809 loss: 1.6809 2022/08/09 04:15:47 - mmengine - INFO - Epoch(train) [35][380/1879] lr: 2.0000e-02 eta: 20:37:04 time: 0.5669 data_time: 0.0229 memory: 13723 grad_norm: 3.9908 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3264 loss: 1.3264 2022/08/09 04:15:59 - mmengine - INFO - Epoch(train) [35][400/1879] lr: 2.0000e-02 eta: 20:36:52 time: 0.5857 data_time: 0.0235 memory: 13723 grad_norm: 4.0369 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5389 loss: 1.5389 2022/08/09 04:16:10 - mmengine - INFO - Epoch(train) [35][420/1879] lr: 2.0000e-02 eta: 20:36:38 time: 0.5723 data_time: 0.0234 memory: 13723 grad_norm: 3.8956 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5054 loss: 1.5054 2022/08/09 04:16:22 - mmengine - INFO - Epoch(train) [35][440/1879] lr: 2.0000e-02 eta: 20:36:25 time: 0.5733 data_time: 0.0233 memory: 13723 grad_norm: 3.8869 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3750 loss: 1.3750 2022/08/09 04:16:33 - mmengine - INFO - Epoch(train) [35][460/1879] lr: 2.0000e-02 eta: 20:36:12 time: 0.5729 data_time: 0.0229 memory: 13723 grad_norm: 3.7657 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3416 loss: 1.3416 2022/08/09 04:16:45 - mmengine - INFO - Epoch(train) [35][480/1879] lr: 2.0000e-02 eta: 20:36:00 time: 0.5813 data_time: 0.0397 memory: 13723 grad_norm: 3.8613 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3987 loss: 1.3987 2022/08/09 04:16:56 - mmengine - INFO - Epoch(train) [35][500/1879] lr: 2.0000e-02 eta: 20:35:46 time: 0.5656 data_time: 0.0229 memory: 13723 grad_norm: 3.8354 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4519 loss: 1.4519 2022/08/09 04:17:08 - mmengine - INFO - Epoch(train) [35][520/1879] lr: 2.0000e-02 eta: 20:35:33 time: 0.5756 data_time: 0.0251 memory: 13723 grad_norm: 3.9651 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3678 loss: 1.3678 2022/08/09 04:17:19 - mmengine - INFO - Epoch(train) [35][540/1879] lr: 2.0000e-02 eta: 20:35:21 time: 0.5807 data_time: 0.0281 memory: 13723 grad_norm: 3.8914 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5155 loss: 1.5155 2022/08/09 04:17:31 - mmengine - INFO - Epoch(train) [35][560/1879] lr: 2.0000e-02 eta: 20:35:08 time: 0.5752 data_time: 0.0233 memory: 13723 grad_norm: 3.8980 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3690 loss: 1.3690 2022/08/09 04:17:42 - mmengine - INFO - Epoch(train) [35][580/1879] lr: 2.0000e-02 eta: 20:34:55 time: 0.5718 data_time: 0.0225 memory: 13723 grad_norm: 3.9706 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3559 loss: 1.3559 2022/08/09 04:17:54 - mmengine - INFO - Epoch(train) [35][600/1879] lr: 2.0000e-02 eta: 20:34:42 time: 0.5847 data_time: 0.0260 memory: 13723 grad_norm: 3.9943 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3600 loss: 1.3600 2022/08/09 04:18:05 - mmengine - INFO - Epoch(train) [35][620/1879] lr: 2.0000e-02 eta: 20:34:29 time: 0.5705 data_time: 0.0238 memory: 13723 grad_norm: 3.9439 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5986 loss: 1.5986 2022/08/09 04:18:17 - mmengine - INFO - Epoch(train) [35][640/1879] lr: 2.0000e-02 eta: 20:34:16 time: 0.5741 data_time: 0.0255 memory: 13723 grad_norm: 3.8607 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5189 loss: 1.5189 2022/08/09 04:18:29 - mmengine - INFO - Epoch(train) [35][660/1879] lr: 2.0000e-02 eta: 20:34:03 time: 0.5849 data_time: 0.0234 memory: 13723 grad_norm: 3.9244 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3974 loss: 1.3974 2022/08/09 04:18:40 - mmengine - INFO - Epoch(train) [35][680/1879] lr: 2.0000e-02 eta: 20:33:50 time: 0.5685 data_time: 0.0219 memory: 13723 grad_norm: 3.8659 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2911 loss: 1.2911 2022/08/09 04:18:51 - mmengine - INFO - Epoch(train) [35][700/1879] lr: 2.0000e-02 eta: 20:33:37 time: 0.5682 data_time: 0.0254 memory: 13723 grad_norm: 4.0669 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3877 loss: 1.3877 2022/08/09 04:19:03 - mmengine - INFO - Epoch(train) [35][720/1879] lr: 2.0000e-02 eta: 20:33:23 time: 0.5684 data_time: 0.0226 memory: 13723 grad_norm: 3.9465 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4334 loss: 1.4334 2022/08/09 04:19:14 - mmengine - INFO - Epoch(train) [35][740/1879] lr: 2.0000e-02 eta: 20:33:10 time: 0.5680 data_time: 0.0241 memory: 13723 grad_norm: 3.8689 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3953 loss: 1.3953 2022/08/09 04:19:26 - mmengine - INFO - Epoch(train) [35][760/1879] lr: 2.0000e-02 eta: 20:32:57 time: 0.5740 data_time: 0.0218 memory: 13723 grad_norm: 3.8646 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3357 loss: 1.3357 2022/08/09 04:19:37 - mmengine - INFO - Epoch(train) [35][780/1879] lr: 2.0000e-02 eta: 20:32:44 time: 0.5781 data_time: 0.0235 memory: 13723 grad_norm: 3.9500 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4716 loss: 1.4716 2022/08/09 04:19:49 - mmengine - INFO - Epoch(train) [35][800/1879] lr: 2.0000e-02 eta: 20:32:31 time: 0.5755 data_time: 0.0217 memory: 13723 grad_norm: 4.0036 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4484 loss: 1.4484 2022/08/09 04:20:00 - mmengine - INFO - Epoch(train) [35][820/1879] lr: 2.0000e-02 eta: 20:32:18 time: 0.5708 data_time: 0.0234 memory: 13723 grad_norm: 3.9590 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4874 loss: 1.4874 2022/08/09 04:20:12 - mmengine - INFO - Epoch(train) [35][840/1879] lr: 2.0000e-02 eta: 20:32:05 time: 0.5762 data_time: 0.0232 memory: 13723 grad_norm: 3.8474 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4017 loss: 1.4017 2022/08/09 04:20:24 - mmengine - INFO - Epoch(train) [35][860/1879] lr: 2.0000e-02 eta: 20:31:53 time: 0.5946 data_time: 0.0288 memory: 13723 grad_norm: 3.8797 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4015 loss: 1.4015 2022/08/09 04:20:36 - mmengine - INFO - Epoch(train) [35][880/1879] lr: 2.0000e-02 eta: 20:31:41 time: 0.6058 data_time: 0.0237 memory: 13723 grad_norm: 3.8089 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2981 loss: 1.2981 2022/08/09 04:20:48 - mmengine - INFO - Epoch(train) [35][900/1879] lr: 2.0000e-02 eta: 20:31:30 time: 0.6282 data_time: 0.0234 memory: 13723 grad_norm: 3.9802 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4669 loss: 1.4669 2022/08/09 04:21:00 - mmengine - INFO - Epoch(train) [35][920/1879] lr: 2.0000e-02 eta: 20:31:17 time: 0.5712 data_time: 0.0232 memory: 13723 grad_norm: 4.0446 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4284 loss: 1.4284 2022/08/09 04:21:11 - mmengine - INFO - Epoch(train) [35][940/1879] lr: 2.0000e-02 eta: 20:31:04 time: 0.5719 data_time: 0.0255 memory: 13723 grad_norm: 4.0204 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5185 loss: 1.5185 2022/08/09 04:21:24 - mmengine - INFO - Epoch(train) [35][960/1879] lr: 2.0000e-02 eta: 20:30:53 time: 0.6175 data_time: 0.0217 memory: 13723 grad_norm: 3.8810 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2359 loss: 1.2359 2022/08/09 04:21:35 - mmengine - INFO - Epoch(train) [35][980/1879] lr: 2.0000e-02 eta: 20:30:40 time: 0.5716 data_time: 0.0219 memory: 13723 grad_norm: 3.9892 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5336 loss: 1.5336 2022/08/09 04:21:47 - mmengine - INFO - Epoch(train) [35][1000/1879] lr: 2.0000e-02 eta: 20:30:27 time: 0.5809 data_time: 0.0258 memory: 13723 grad_norm: 3.8604 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3550 loss: 1.3550 2022/08/09 04:21:58 - mmengine - INFO - Epoch(train) [35][1020/1879] lr: 2.0000e-02 eta: 20:30:14 time: 0.5815 data_time: 0.0230 memory: 13723 grad_norm: 3.7765 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.4084 loss: 1.4084 2022/08/09 04:22:11 - mmengine - INFO - Epoch(train) [35][1040/1879] lr: 2.0000e-02 eta: 20:30:03 time: 0.6172 data_time: 0.0243 memory: 13723 grad_norm: 3.8454 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4324 loss: 1.4324 2022/08/09 04:22:22 - mmengine - INFO - Epoch(train) [35][1060/1879] lr: 2.0000e-02 eta: 20:29:50 time: 0.5703 data_time: 0.0206 memory: 13723 grad_norm: 3.9671 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5571 loss: 1.5571 2022/08/09 04:22:33 - mmengine - INFO - Epoch(train) [35][1080/1879] lr: 2.0000e-02 eta: 20:29:37 time: 0.5707 data_time: 0.0231 memory: 13723 grad_norm: 3.9636 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5000 loss: 1.5000 2022/08/09 04:22:45 - mmengine - INFO - Epoch(train) [35][1100/1879] lr: 2.0000e-02 eta: 20:29:24 time: 0.5700 data_time: 0.0224 memory: 13723 grad_norm: 3.7730 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4584 loss: 1.4584 2022/08/09 04:22:53 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 04:22:57 - mmengine - INFO - Epoch(train) [35][1120/1879] lr: 2.0000e-02 eta: 20:29:11 time: 0.5894 data_time: 0.0259 memory: 13723 grad_norm: 3.7830 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2999 loss: 1.2999 2022/08/09 04:23:08 - mmengine - INFO - Epoch(train) [35][1140/1879] lr: 2.0000e-02 eta: 20:28:58 time: 0.5762 data_time: 0.0212 memory: 13723 grad_norm: 3.8415 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3364 loss: 1.3364 2022/08/09 04:23:20 - mmengine - INFO - Epoch(train) [35][1160/1879] lr: 2.0000e-02 eta: 20:28:45 time: 0.5691 data_time: 0.0241 memory: 13723 grad_norm: 3.9285 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4376 loss: 1.4376 2022/08/09 04:23:31 - mmengine - INFO - Epoch(train) [35][1180/1879] lr: 2.0000e-02 eta: 20:28:32 time: 0.5677 data_time: 0.0228 memory: 13723 grad_norm: 3.8183 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3771 loss: 1.3771 2022/08/09 04:23:42 - mmengine - INFO - Epoch(train) [35][1200/1879] lr: 2.0000e-02 eta: 20:28:19 time: 0.5718 data_time: 0.0245 memory: 13723 grad_norm: 3.9580 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5439 loss: 1.5439 2022/08/09 04:23:54 - mmengine - INFO - Epoch(train) [35][1220/1879] lr: 2.0000e-02 eta: 20:28:06 time: 0.5705 data_time: 0.0229 memory: 13723 grad_norm: 3.8324 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5387 loss: 1.5387 2022/08/09 04:24:05 - mmengine - INFO - Epoch(train) [35][1240/1879] lr: 2.0000e-02 eta: 20:27:52 time: 0.5608 data_time: 0.0228 memory: 13723 grad_norm: 3.9232 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5022 loss: 1.5022 2022/08/09 04:24:17 - mmengine - INFO - Epoch(train) [35][1260/1879] lr: 2.0000e-02 eta: 20:27:40 time: 0.6005 data_time: 0.0230 memory: 13723 grad_norm: 3.8664 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4326 loss: 1.4326 2022/08/09 04:24:29 - mmengine - INFO - Epoch(train) [35][1280/1879] lr: 2.0000e-02 eta: 20:27:27 time: 0.5773 data_time: 0.0244 memory: 13723 grad_norm: 3.9888 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5317 loss: 1.5317 2022/08/09 04:24:40 - mmengine - INFO - Epoch(train) [35][1300/1879] lr: 2.0000e-02 eta: 20:27:15 time: 0.5760 data_time: 0.0236 memory: 13723 grad_norm: 3.9309 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3308 loss: 1.3308 2022/08/09 04:24:52 - mmengine - INFO - Epoch(train) [35][1320/1879] lr: 2.0000e-02 eta: 20:27:02 time: 0.5730 data_time: 0.0227 memory: 13723 grad_norm: 3.8830 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6424 loss: 1.6424 2022/08/09 04:25:03 - mmengine - INFO - Epoch(train) [35][1340/1879] lr: 2.0000e-02 eta: 20:26:48 time: 0.5704 data_time: 0.0236 memory: 13723 grad_norm: 3.9058 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4364 loss: 1.4364 2022/08/09 04:25:18 - mmengine - INFO - Epoch(train) [35][1360/1879] lr: 2.0000e-02 eta: 20:26:41 time: 0.7279 data_time: 0.0193 memory: 13723 grad_norm: 3.9731 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4611 loss: 1.4611 2022/08/09 04:25:30 - mmengine - INFO - Epoch(train) [35][1380/1879] lr: 2.0000e-02 eta: 20:26:30 time: 0.6081 data_time: 0.0236 memory: 13723 grad_norm: 3.7617 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3535 loss: 1.3535 2022/08/09 04:25:41 - mmengine - INFO - Epoch(train) [35][1400/1879] lr: 2.0000e-02 eta: 20:26:17 time: 0.5758 data_time: 0.0237 memory: 13723 grad_norm: 3.9320 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5121 loss: 1.5121 2022/08/09 04:25:53 - mmengine - INFO - Epoch(train) [35][1420/1879] lr: 2.0000e-02 eta: 20:26:05 time: 0.6104 data_time: 0.0201 memory: 13723 grad_norm: 3.9548 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3910 loss: 1.3910 2022/08/09 04:26:05 - mmengine - INFO - Epoch(train) [35][1440/1879] lr: 2.0000e-02 eta: 20:25:52 time: 0.5695 data_time: 0.0218 memory: 13723 grad_norm: 3.8611 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4652 loss: 1.4652 2022/08/09 04:26:16 - mmengine - INFO - Epoch(train) [35][1460/1879] lr: 2.0000e-02 eta: 20:25:39 time: 0.5726 data_time: 0.0244 memory: 13723 grad_norm: 3.8551 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4958 loss: 1.4958 2022/08/09 04:26:28 - mmengine - INFO - Epoch(train) [35][1480/1879] lr: 2.0000e-02 eta: 20:25:26 time: 0.5714 data_time: 0.0237 memory: 13723 grad_norm: 3.8090 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3257 loss: 1.3257 2022/08/09 04:26:39 - mmengine - INFO - Epoch(train) [35][1500/1879] lr: 2.0000e-02 eta: 20:25:13 time: 0.5767 data_time: 0.0254 memory: 13723 grad_norm: 3.9743 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6456 loss: 1.6456 2022/08/09 04:26:51 - mmengine - INFO - Epoch(train) [35][1520/1879] lr: 2.0000e-02 eta: 20:25:00 time: 0.5781 data_time: 0.0249 memory: 13723 grad_norm: 3.8864 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7249 loss: 1.7249 2022/08/09 04:27:02 - mmengine - INFO - Epoch(train) [35][1540/1879] lr: 2.0000e-02 eta: 20:24:47 time: 0.5670 data_time: 0.0219 memory: 13723 grad_norm: 3.8929 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4703 loss: 1.4703 2022/08/09 04:27:14 - mmengine - INFO - Epoch(train) [35][1560/1879] lr: 2.0000e-02 eta: 20:24:34 time: 0.5752 data_time: 0.0240 memory: 13723 grad_norm: 3.9282 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5206 loss: 1.5206 2022/08/09 04:27:25 - mmengine - INFO - Epoch(train) [35][1580/1879] lr: 2.0000e-02 eta: 20:24:21 time: 0.5760 data_time: 0.0243 memory: 13723 grad_norm: 3.9575 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4482 loss: 1.4482 2022/08/09 04:27:37 - mmengine - INFO - Epoch(train) [35][1600/1879] lr: 2.0000e-02 eta: 20:24:08 time: 0.5699 data_time: 0.0224 memory: 13723 grad_norm: 3.8980 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4130 loss: 1.4130 2022/08/09 04:27:48 - mmengine - INFO - Epoch(train) [35][1620/1879] lr: 2.0000e-02 eta: 20:23:55 time: 0.5719 data_time: 0.0229 memory: 13723 grad_norm: 3.9783 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5393 loss: 1.5393 2022/08/09 04:28:00 - mmengine - INFO - Epoch(train) [35][1640/1879] lr: 2.0000e-02 eta: 20:23:42 time: 0.5881 data_time: 0.0243 memory: 13723 grad_norm: 3.9180 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5579 loss: 1.5579 2022/08/09 04:28:11 - mmengine - INFO - Epoch(train) [35][1660/1879] lr: 2.0000e-02 eta: 20:23:29 time: 0.5764 data_time: 0.0223 memory: 13723 grad_norm: 3.9906 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5822 loss: 1.5822 2022/08/09 04:28:23 - mmengine - INFO - Epoch(train) [35][1680/1879] lr: 2.0000e-02 eta: 20:23:16 time: 0.5648 data_time: 0.0224 memory: 13723 grad_norm: 3.8591 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5307 loss: 1.5307 2022/08/09 04:28:34 - mmengine - INFO - Epoch(train) [35][1700/1879] lr: 2.0000e-02 eta: 20:23:03 time: 0.5779 data_time: 0.0265 memory: 13723 grad_norm: 3.8076 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.3195 loss: 1.3195 2022/08/09 04:28:46 - mmengine - INFO - Epoch(train) [35][1720/1879] lr: 2.0000e-02 eta: 20:22:50 time: 0.5671 data_time: 0.0218 memory: 13723 grad_norm: 3.9640 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3718 loss: 1.3718 2022/08/09 04:28:57 - mmengine - INFO - Epoch(train) [35][1740/1879] lr: 2.0000e-02 eta: 20:22:37 time: 0.5730 data_time: 0.0232 memory: 13723 grad_norm: 3.7893 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4887 loss: 1.4887 2022/08/09 04:29:09 - mmengine - INFO - Epoch(train) [35][1760/1879] lr: 2.0000e-02 eta: 20:22:24 time: 0.5709 data_time: 0.0232 memory: 13723 grad_norm: 3.9588 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5343 loss: 1.5343 2022/08/09 04:29:20 - mmengine - INFO - Epoch(train) [35][1780/1879] lr: 2.0000e-02 eta: 20:22:11 time: 0.5724 data_time: 0.0236 memory: 13723 grad_norm: 3.9061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6260 loss: 1.6260 2022/08/09 04:29:32 - mmengine - INFO - Epoch(train) [35][1800/1879] lr: 2.0000e-02 eta: 20:21:59 time: 0.5990 data_time: 0.0493 memory: 13723 grad_norm: 3.8655 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4934 loss: 1.4934 2022/08/09 04:29:43 - mmengine - INFO - Epoch(train) [35][1820/1879] lr: 2.0000e-02 eta: 20:21:46 time: 0.5706 data_time: 0.0219 memory: 13723 grad_norm: 3.8846 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5534 loss: 1.5534 2022/08/09 04:29:55 - mmengine - INFO - Epoch(train) [35][1840/1879] lr: 2.0000e-02 eta: 20:21:33 time: 0.5738 data_time: 0.0245 memory: 13723 grad_norm: 3.9938 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3409 loss: 1.3409 2022/08/09 04:30:06 - mmengine - INFO - Epoch(train) [35][1860/1879] lr: 2.0000e-02 eta: 20:21:20 time: 0.5758 data_time: 0.0241 memory: 13723 grad_norm: 3.9232 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4330 loss: 1.4330 2022/08/09 04:30:17 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 04:30:17 - mmengine - INFO - Epoch(train) [35][1879/1879] lr: 2.0000e-02 eta: 20:21:20 time: 0.5585 data_time: 0.0411 memory: 13723 grad_norm: 4.1223 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.4350 loss: 1.4350 2022/08/09 04:30:32 - mmengine - INFO - Epoch(val) [35][20/155] eta: 0:01:39 time: 0.7354 data_time: 0.5940 memory: 1829 2022/08/09 04:30:41 - mmengine - INFO - Epoch(val) [35][40/155] eta: 0:00:50 time: 0.4411 data_time: 0.3005 memory: 1829 2022/08/09 04:30:54 - mmengine - INFO - Epoch(val) [35][60/155] eta: 0:01:04 time: 0.6753 data_time: 0.5360 memory: 1829 2022/08/09 04:31:06 - mmengine - INFO - Epoch(val) [35][80/155] eta: 0:00:43 time: 0.5840 data_time: 0.4448 memory: 1829 2022/08/09 04:31:19 - mmengine - INFO - Epoch(val) [35][100/155] eta: 0:00:34 time: 0.6332 data_time: 0.4947 memory: 1829 2022/08/09 04:31:29 - mmengine - INFO - Epoch(val) [35][120/155] eta: 0:00:18 time: 0.5250 data_time: 0.3838 memory: 1829 2022/08/09 04:31:44 - mmengine - INFO - Epoch(val) [35][140/155] eta: 0:00:11 time: 0.7395 data_time: 0.6038 memory: 1829 2022/08/09 04:31:54 - mmengine - INFO - Epoch(val) [35][155/155] acc/top1: 0.6218 acc/top5: 0.8469 acc/mean1: 0.6218 2022/08/09 04:32:12 - mmengine - INFO - Epoch(train) [36][20/1879] lr: 2.0000e-02 eta: 20:20:46 time: 0.8960 data_time: 0.2078 memory: 13723 grad_norm: 3.8476 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3946 loss: 1.3946 2022/08/09 04:32:24 - mmengine - INFO - Epoch(train) [36][40/1879] lr: 2.0000e-02 eta: 20:20:33 time: 0.5700 data_time: 0.0217 memory: 13723 grad_norm: 3.8321 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3012 loss: 1.3012 2022/08/09 04:32:35 - mmengine - INFO - Epoch(train) [36][60/1879] lr: 2.0000e-02 eta: 20:20:21 time: 0.5842 data_time: 0.0234 memory: 13723 grad_norm: 3.9395 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4031 loss: 1.4031 2022/08/09 04:32:47 - mmengine - INFO - Epoch(train) [36][80/1879] lr: 2.0000e-02 eta: 20:20:08 time: 0.5857 data_time: 0.0220 memory: 13723 grad_norm: 3.9789 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3418 loss: 1.3418 2022/08/09 04:32:59 - mmengine - INFO - Epoch(train) [36][100/1879] lr: 2.0000e-02 eta: 20:19:57 time: 0.6125 data_time: 0.0220 memory: 13723 grad_norm: 3.9017 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3152 loss: 1.3152 2022/08/09 04:33:11 - mmengine - INFO - Epoch(train) [36][120/1879] lr: 2.0000e-02 eta: 20:19:44 time: 0.5745 data_time: 0.0239 memory: 13723 grad_norm: 3.9980 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5337 loss: 1.5337 2022/08/09 04:33:22 - mmengine - INFO - Epoch(train) [36][140/1879] lr: 2.0000e-02 eta: 20:19:31 time: 0.5722 data_time: 0.0218 memory: 13723 grad_norm: 3.7271 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2795 loss: 1.2795 2022/08/09 04:33:34 - mmengine - INFO - Epoch(train) [36][160/1879] lr: 2.0000e-02 eta: 20:19:18 time: 0.5694 data_time: 0.0240 memory: 13723 grad_norm: 3.9033 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3697 loss: 1.3697 2022/08/09 04:33:45 - mmengine - INFO - Epoch(train) [36][180/1879] lr: 2.0000e-02 eta: 20:19:05 time: 0.5774 data_time: 0.0227 memory: 13723 grad_norm: 3.9324 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.2354 loss: 1.2354 2022/08/09 04:33:57 - mmengine - INFO - Epoch(train) [36][200/1879] lr: 2.0000e-02 eta: 20:18:52 time: 0.5693 data_time: 0.0222 memory: 13723 grad_norm: 4.0077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6163 loss: 1.6163 2022/08/09 04:34:08 - mmengine - INFO - Epoch(train) [36][220/1879] lr: 2.0000e-02 eta: 20:18:39 time: 0.5673 data_time: 0.0269 memory: 13723 grad_norm: 3.9923 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3318 loss: 1.3318 2022/08/09 04:34:16 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 04:34:19 - mmengine - INFO - Epoch(train) [36][240/1879] lr: 2.0000e-02 eta: 20:18:25 time: 0.5675 data_time: 0.0212 memory: 13723 grad_norm: 3.8256 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3123 loss: 1.3123 2022/08/09 04:34:31 - mmengine - INFO - Epoch(train) [36][260/1879] lr: 2.0000e-02 eta: 20:18:12 time: 0.5739 data_time: 0.0236 memory: 13723 grad_norm: 3.9603 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5545 loss: 1.5545 2022/08/09 04:34:42 - mmengine - INFO - Epoch(train) [36][280/1879] lr: 2.0000e-02 eta: 20:17:59 time: 0.5701 data_time: 0.0265 memory: 13723 grad_norm: 4.0089 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.6029 loss: 1.6029 2022/08/09 04:34:54 - mmengine - INFO - Epoch(train) [36][300/1879] lr: 2.0000e-02 eta: 20:17:46 time: 0.5654 data_time: 0.0245 memory: 13723 grad_norm: 3.8453 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3122 loss: 1.3122 2022/08/09 04:35:05 - mmengine - INFO - Epoch(train) [36][320/1879] lr: 2.0000e-02 eta: 20:17:33 time: 0.5752 data_time: 0.0258 memory: 13723 grad_norm: 3.8645 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3273 loss: 1.3273 2022/08/09 04:35:19 - mmengine - INFO - Epoch(train) [36][340/1879] lr: 2.0000e-02 eta: 20:17:24 time: 0.6848 data_time: 0.0398 memory: 13723 grad_norm: 3.9802 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2558 loss: 1.2558 2022/08/09 04:35:32 - mmengine - INFO - Epoch(train) [36][360/1879] lr: 2.0000e-02 eta: 20:17:14 time: 0.6477 data_time: 0.0261 memory: 13723 grad_norm: 3.8495 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4560 loss: 1.4560 2022/08/09 04:35:43 - mmengine - INFO - Epoch(train) [36][380/1879] lr: 2.0000e-02 eta: 20:17:01 time: 0.5812 data_time: 0.0221 memory: 13723 grad_norm: 3.8220 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4897 loss: 1.4897 2022/08/09 04:35:55 - mmengine - INFO - Epoch(train) [36][400/1879] lr: 2.0000e-02 eta: 20:16:48 time: 0.5733 data_time: 0.0236 memory: 13723 grad_norm: 3.9103 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4220 loss: 1.4220 2022/08/09 04:36:06 - mmengine - INFO - Epoch(train) [36][420/1879] lr: 2.0000e-02 eta: 20:16:36 time: 0.5764 data_time: 0.0247 memory: 13723 grad_norm: 3.9438 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.4459 loss: 1.4459 2022/08/09 04:36:18 - mmengine - INFO - Epoch(train) [36][440/1879] lr: 2.0000e-02 eta: 20:16:23 time: 0.5822 data_time: 0.0219 memory: 13723 grad_norm: 3.9312 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3571 loss: 1.3571 2022/08/09 04:36:29 - mmengine - INFO - Epoch(train) [36][460/1879] lr: 2.0000e-02 eta: 20:16:10 time: 0.5633 data_time: 0.0231 memory: 13723 grad_norm: 3.9563 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4914 loss: 1.4914 2022/08/09 04:36:41 - mmengine - INFO - Epoch(train) [36][480/1879] lr: 2.0000e-02 eta: 20:15:57 time: 0.5735 data_time: 0.0224 memory: 13723 grad_norm: 3.8274 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3772 loss: 1.3772 2022/08/09 04:36:52 - mmengine - INFO - Epoch(train) [36][500/1879] lr: 2.0000e-02 eta: 20:15:44 time: 0.5763 data_time: 0.0248 memory: 13723 grad_norm: 4.0406 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4835 loss: 1.4835 2022/08/09 04:37:04 - mmengine - INFO - Epoch(train) [36][520/1879] lr: 2.0000e-02 eta: 20:15:31 time: 0.5689 data_time: 0.0244 memory: 13723 grad_norm: 3.8621 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2432 loss: 1.2432 2022/08/09 04:37:15 - mmengine - INFO - Epoch(train) [36][540/1879] lr: 2.0000e-02 eta: 20:15:18 time: 0.5795 data_time: 0.0238 memory: 13723 grad_norm: 4.0112 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2971 loss: 1.2971 2022/08/09 04:37:27 - mmengine - INFO - Epoch(train) [36][560/1879] lr: 2.0000e-02 eta: 20:15:05 time: 0.5650 data_time: 0.0250 memory: 13723 grad_norm: 3.9704 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5060 loss: 1.5060 2022/08/09 04:37:38 - mmengine - INFO - Epoch(train) [36][580/1879] lr: 2.0000e-02 eta: 20:14:52 time: 0.5818 data_time: 0.0225 memory: 13723 grad_norm: 3.9883 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4864 loss: 1.4864 2022/08/09 04:37:50 - mmengine - INFO - Epoch(train) [36][600/1879] lr: 2.0000e-02 eta: 20:14:39 time: 0.5663 data_time: 0.0231 memory: 13723 grad_norm: 3.9652 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3065 loss: 1.3065 2022/08/09 04:38:01 - mmengine - INFO - Epoch(train) [36][620/1879] lr: 2.0000e-02 eta: 20:14:27 time: 0.5954 data_time: 0.0440 memory: 13723 grad_norm: 4.0028 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5283 loss: 1.5283 2022/08/09 04:38:13 - mmengine - INFO - Epoch(train) [36][640/1879] lr: 2.0000e-02 eta: 20:14:14 time: 0.5712 data_time: 0.0230 memory: 13723 grad_norm: 4.0433 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4707 loss: 1.4707 2022/08/09 04:38:24 - mmengine - INFO - Epoch(train) [36][660/1879] lr: 2.0000e-02 eta: 20:14:01 time: 0.5700 data_time: 0.0215 memory: 13723 grad_norm: 3.9047 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5226 loss: 1.5226 2022/08/09 04:38:36 - mmengine - INFO - Epoch(train) [36][680/1879] lr: 2.0000e-02 eta: 20:13:47 time: 0.5694 data_time: 0.0233 memory: 13723 grad_norm: 3.8149 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4801 loss: 1.4801 2022/08/09 04:38:47 - mmengine - INFO - Epoch(train) [36][700/1879] lr: 2.0000e-02 eta: 20:13:34 time: 0.5684 data_time: 0.0234 memory: 13723 grad_norm: 3.9030 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4707 loss: 1.4707 2022/08/09 04:38:59 - mmengine - INFO - Epoch(train) [36][720/1879] lr: 2.0000e-02 eta: 20:13:21 time: 0.5704 data_time: 0.0244 memory: 13723 grad_norm: 3.9197 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3662 loss: 1.3662 2022/08/09 04:39:10 - mmengine - INFO - Epoch(train) [36][740/1879] lr: 2.0000e-02 eta: 20:13:09 time: 0.5892 data_time: 0.0350 memory: 13723 grad_norm: 3.9752 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5875 loss: 1.5875 2022/08/09 04:39:22 - mmengine - INFO - Epoch(train) [36][760/1879] lr: 2.0000e-02 eta: 20:12:56 time: 0.5628 data_time: 0.0220 memory: 13723 grad_norm: 3.9859 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4758 loss: 1.4758 2022/08/09 04:39:33 - mmengine - INFO - Epoch(train) [36][780/1879] lr: 2.0000e-02 eta: 20:12:42 time: 0.5636 data_time: 0.0253 memory: 13723 grad_norm: 3.8163 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5892 loss: 1.5892 2022/08/09 04:39:44 - mmengine - INFO - Epoch(train) [36][800/1879] lr: 2.0000e-02 eta: 20:12:29 time: 0.5755 data_time: 0.0234 memory: 13723 grad_norm: 3.9413 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5475 loss: 1.5475 2022/08/09 04:39:56 - mmengine - INFO - Epoch(train) [36][820/1879] lr: 2.0000e-02 eta: 20:12:16 time: 0.5701 data_time: 0.0264 memory: 13723 grad_norm: 3.8984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3524 loss: 1.3524 2022/08/09 04:40:07 - mmengine - INFO - Epoch(train) [36][840/1879] lr: 2.0000e-02 eta: 20:12:03 time: 0.5744 data_time: 0.0225 memory: 13723 grad_norm: 3.8743 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3058 loss: 1.3058 2022/08/09 04:40:20 - mmengine - INFO - Epoch(train) [36][860/1879] lr: 2.0000e-02 eta: 20:11:52 time: 0.6222 data_time: 0.0597 memory: 13723 grad_norm: 3.9128 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4699 loss: 1.4699 2022/08/09 04:40:31 - mmengine - INFO - Epoch(train) [36][880/1879] lr: 2.0000e-02 eta: 20:11:40 time: 0.5860 data_time: 0.0270 memory: 13723 grad_norm: 3.8944 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4680 loss: 1.4680 2022/08/09 04:40:43 - mmengine - INFO - Epoch(train) [36][900/1879] lr: 2.0000e-02 eta: 20:11:27 time: 0.5822 data_time: 0.0222 memory: 13723 grad_norm: 3.8176 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4476 loss: 1.4476 2022/08/09 04:40:55 - mmengine - INFO - Epoch(train) [36][920/1879] lr: 2.0000e-02 eta: 20:11:14 time: 0.5724 data_time: 0.0228 memory: 13723 grad_norm: 4.0165 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3468 loss: 1.3468 2022/08/09 04:41:06 - mmengine - INFO - Epoch(train) [36][940/1879] lr: 2.0000e-02 eta: 20:11:01 time: 0.5768 data_time: 0.0228 memory: 13723 grad_norm: 3.9792 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3686 loss: 1.3686 2022/08/09 04:41:18 - mmengine - INFO - Epoch(train) [36][960/1879] lr: 2.0000e-02 eta: 20:10:48 time: 0.5767 data_time: 0.0239 memory: 13723 grad_norm: 3.9236 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3816 loss: 1.3816 2022/08/09 04:41:29 - mmengine - INFO - Epoch(train) [36][980/1879] lr: 2.0000e-02 eta: 20:10:35 time: 0.5715 data_time: 0.0232 memory: 13723 grad_norm: 3.9545 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6693 loss: 1.6693 2022/08/09 04:41:41 - mmengine - INFO - Epoch(train) [36][1000/1879] lr: 2.0000e-02 eta: 20:10:22 time: 0.5698 data_time: 0.0253 memory: 13723 grad_norm: 3.9095 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4654 loss: 1.4654 2022/08/09 04:41:52 - mmengine - INFO - Epoch(train) [36][1020/1879] lr: 2.0000e-02 eta: 20:10:10 time: 0.5857 data_time: 0.0431 memory: 13723 grad_norm: 3.9396 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4412 loss: 1.4412 2022/08/09 04:42:04 - mmengine - INFO - Epoch(train) [36][1040/1879] lr: 2.0000e-02 eta: 20:09:57 time: 0.5719 data_time: 0.0231 memory: 13723 grad_norm: 3.8604 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5207 loss: 1.5207 2022/08/09 04:42:15 - mmengine - INFO - Epoch(train) [36][1060/1879] lr: 2.0000e-02 eta: 20:09:44 time: 0.5751 data_time: 0.0239 memory: 13723 grad_norm: 3.9049 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4465 loss: 1.4465 2022/08/09 04:42:27 - mmengine - INFO - Epoch(train) [36][1080/1879] lr: 2.0000e-02 eta: 20:09:31 time: 0.5682 data_time: 0.0232 memory: 13723 grad_norm: 3.9545 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.4971 loss: 1.4971 2022/08/09 04:42:38 - mmengine - INFO - Epoch(train) [36][1100/1879] lr: 2.0000e-02 eta: 20:09:18 time: 0.5750 data_time: 0.0244 memory: 13723 grad_norm: 3.8723 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5128 loss: 1.5128 2022/08/09 04:42:50 - mmengine - INFO - Epoch(train) [36][1120/1879] lr: 2.0000e-02 eta: 20:09:05 time: 0.5713 data_time: 0.0249 memory: 13723 grad_norm: 3.8664 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4526 loss: 1.4526 2022/08/09 04:43:01 - mmengine - INFO - Epoch(train) [36][1140/1879] lr: 2.0000e-02 eta: 20:08:52 time: 0.5728 data_time: 0.0240 memory: 13723 grad_norm: 3.8932 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5288 loss: 1.5288 2022/08/09 04:43:13 - mmengine - INFO - Epoch(train) [36][1160/1879] lr: 2.0000e-02 eta: 20:08:39 time: 0.5769 data_time: 0.0224 memory: 13723 grad_norm: 4.0492 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6423 loss: 1.6423 2022/08/09 04:43:24 - mmengine - INFO - Epoch(train) [36][1180/1879] lr: 2.0000e-02 eta: 20:08:26 time: 0.5724 data_time: 0.0228 memory: 13723 grad_norm: 3.9177 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4417 loss: 1.4417 2022/08/09 04:43:35 - mmengine - INFO - Epoch(train) [36][1200/1879] lr: 2.0000e-02 eta: 20:08:13 time: 0.5667 data_time: 0.0209 memory: 13723 grad_norm: 3.9042 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2573 loss: 1.2573 2022/08/09 04:43:47 - mmengine - INFO - Epoch(train) [36][1220/1879] lr: 2.0000e-02 eta: 20:08:00 time: 0.5785 data_time: 0.0243 memory: 13723 grad_norm: 3.9958 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4132 loss: 1.4132 2022/08/09 04:43:55 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 04:43:58 - mmengine - INFO - Epoch(train) [36][1240/1879] lr: 2.0000e-02 eta: 20:07:47 time: 0.5681 data_time: 0.0227 memory: 13723 grad_norm: 3.8838 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5545 loss: 1.5545 2022/08/09 04:44:10 - mmengine - INFO - Epoch(train) [36][1260/1879] lr: 2.0000e-02 eta: 20:07:35 time: 0.5908 data_time: 0.0243 memory: 13723 grad_norm: 4.0740 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5625 loss: 1.5625 2022/08/09 04:44:22 - mmengine - INFO - Epoch(train) [36][1280/1879] lr: 2.0000e-02 eta: 20:07:23 time: 0.6125 data_time: 0.0241 memory: 13723 grad_norm: 3.9188 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4666 loss: 1.4666 2022/08/09 04:44:34 - mmengine - INFO - Epoch(train) [36][1300/1879] lr: 2.0000e-02 eta: 20:07:10 time: 0.5666 data_time: 0.0209 memory: 13723 grad_norm: 3.8907 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3757 loss: 1.3757 2022/08/09 04:44:45 - mmengine - INFO - Epoch(train) [36][1320/1879] lr: 2.0000e-02 eta: 20:06:57 time: 0.5730 data_time: 0.0243 memory: 13723 grad_norm: 3.9278 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3541 loss: 1.3541 2022/08/09 04:44:57 - mmengine - INFO - Epoch(train) [36][1340/1879] lr: 2.0000e-02 eta: 20:06:44 time: 0.5682 data_time: 0.0221 memory: 13723 grad_norm: 3.8636 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4381 loss: 1.4381 2022/08/09 04:45:08 - mmengine - INFO - Epoch(train) [36][1360/1879] lr: 2.0000e-02 eta: 20:06:31 time: 0.5772 data_time: 0.0304 memory: 13723 grad_norm: 3.9998 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5642 loss: 1.5642 2022/08/09 04:45:20 - mmengine - INFO - Epoch(train) [36][1380/1879] lr: 2.0000e-02 eta: 20:06:20 time: 0.6157 data_time: 0.0237 memory: 13723 grad_norm: 3.9534 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3121 loss: 1.3121 2022/08/09 04:45:32 - mmengine - INFO - Epoch(train) [36][1400/1879] lr: 2.0000e-02 eta: 20:06:07 time: 0.5743 data_time: 0.0236 memory: 13723 grad_norm: 3.8604 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4475 loss: 1.4475 2022/08/09 04:45:43 - mmengine - INFO - Epoch(train) [36][1420/1879] lr: 2.0000e-02 eta: 20:05:54 time: 0.5678 data_time: 0.0228 memory: 13723 grad_norm: 3.9382 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.4517 loss: 1.4517 2022/08/09 04:45:55 - mmengine - INFO - Epoch(train) [36][1440/1879] lr: 2.0000e-02 eta: 20:05:41 time: 0.5745 data_time: 0.0232 memory: 13723 grad_norm: 4.0212 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5019 loss: 1.5019 2022/08/09 04:46:06 - mmengine - INFO - Epoch(train) [36][1460/1879] lr: 2.0000e-02 eta: 20:05:28 time: 0.5674 data_time: 0.0245 memory: 13723 grad_norm: 4.0597 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3824 loss: 1.3824 2022/08/09 04:46:18 - mmengine - INFO - Epoch(train) [36][1480/1879] lr: 2.0000e-02 eta: 20:05:15 time: 0.5690 data_time: 0.0236 memory: 13723 grad_norm: 3.8935 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6559 loss: 1.6559 2022/08/09 04:46:29 - mmengine - INFO - Epoch(train) [36][1500/1879] lr: 2.0000e-02 eta: 20:05:02 time: 0.5801 data_time: 0.0240 memory: 13723 grad_norm: 3.9439 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4508 loss: 1.4508 2022/08/09 04:46:41 - mmengine - INFO - Epoch(train) [36][1520/1879] lr: 2.0000e-02 eta: 20:04:49 time: 0.5749 data_time: 0.0242 memory: 13723 grad_norm: 3.9037 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4626 loss: 1.4626 2022/08/09 04:46:52 - mmengine - INFO - Epoch(train) [36][1540/1879] lr: 2.0000e-02 eta: 20:04:37 time: 0.5757 data_time: 0.0236 memory: 13723 grad_norm: 3.9093 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4550 loss: 1.4550 2022/08/09 04:47:04 - mmengine - INFO - Epoch(train) [36][1560/1879] lr: 2.0000e-02 eta: 20:04:24 time: 0.5698 data_time: 0.0224 memory: 13723 grad_norm: 3.8428 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4474 loss: 1.4474 2022/08/09 04:47:15 - mmengine - INFO - Epoch(train) [36][1580/1879] lr: 2.0000e-02 eta: 20:04:11 time: 0.5834 data_time: 0.0250 memory: 13723 grad_norm: 3.8712 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5186 loss: 1.5186 2022/08/09 04:47:27 - mmengine - INFO - Epoch(train) [36][1600/1879] lr: 2.0000e-02 eta: 20:03:58 time: 0.5684 data_time: 0.0213 memory: 13723 grad_norm: 3.8701 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4122 loss: 1.4122 2022/08/09 04:47:39 - mmengine - INFO - Epoch(train) [36][1620/1879] lr: 2.0000e-02 eta: 20:03:46 time: 0.6099 data_time: 0.0247 memory: 13723 grad_norm: 3.9328 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5585 loss: 1.5585 2022/08/09 04:47:51 - mmengine - INFO - Epoch(train) [36][1640/1879] lr: 2.0000e-02 eta: 20:03:34 time: 0.5821 data_time: 0.0198 memory: 13723 grad_norm: 3.7129 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3574 loss: 1.3574 2022/08/09 04:48:02 - mmengine - INFO - Epoch(train) [36][1660/1879] lr: 2.0000e-02 eta: 20:03:21 time: 0.5779 data_time: 0.0265 memory: 13723 grad_norm: 3.8708 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1960 loss: 1.1960 2022/08/09 04:48:14 - mmengine - INFO - Epoch(train) [36][1680/1879] lr: 2.0000e-02 eta: 20:03:09 time: 0.5907 data_time: 0.0192 memory: 13723 grad_norm: 4.0115 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5266 loss: 1.5266 2022/08/09 04:48:25 - mmengine - INFO - Epoch(train) [36][1700/1879] lr: 2.0000e-02 eta: 20:02:56 time: 0.5745 data_time: 0.0229 memory: 13723 grad_norm: 3.7866 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1971 loss: 1.1971 2022/08/09 04:48:37 - mmengine - INFO - Epoch(train) [36][1720/1879] lr: 2.0000e-02 eta: 20:02:43 time: 0.5751 data_time: 0.0235 memory: 13723 grad_norm: 3.9393 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5417 loss: 1.5417 2022/08/09 04:48:48 - mmengine - INFO - Epoch(train) [36][1740/1879] lr: 2.0000e-02 eta: 20:02:30 time: 0.5763 data_time: 0.0236 memory: 13723 grad_norm: 3.9631 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6255 loss: 1.6255 2022/08/09 04:49:00 - mmengine - INFO - Epoch(train) [36][1760/1879] lr: 2.0000e-02 eta: 20:02:17 time: 0.5724 data_time: 0.0216 memory: 13723 grad_norm: 3.9392 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2487 loss: 1.2487 2022/08/09 04:49:12 - mmengine - INFO - Epoch(train) [36][1780/1879] lr: 2.0000e-02 eta: 20:02:05 time: 0.5849 data_time: 0.0236 memory: 13723 grad_norm: 3.9165 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3871 loss: 1.3871 2022/08/09 04:49:23 - mmengine - INFO - Epoch(train) [36][1800/1879] lr: 2.0000e-02 eta: 20:01:52 time: 0.5738 data_time: 0.0246 memory: 13723 grad_norm: 3.9228 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3340 loss: 1.3340 2022/08/09 04:49:35 - mmengine - INFO - Epoch(train) [36][1820/1879] lr: 2.0000e-02 eta: 20:01:39 time: 0.5744 data_time: 0.0235 memory: 13723 grad_norm: 3.9349 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4542 loss: 1.4542 2022/08/09 04:49:46 - mmengine - INFO - Epoch(train) [36][1840/1879] lr: 2.0000e-02 eta: 20:01:26 time: 0.5711 data_time: 0.0236 memory: 13723 grad_norm: 3.9797 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3816 loss: 1.3816 2022/08/09 04:49:57 - mmengine - INFO - Epoch(train) [36][1860/1879] lr: 2.0000e-02 eta: 20:01:13 time: 0.5705 data_time: 0.0222 memory: 13723 grad_norm: 4.0091 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8698 loss: 1.8698 2022/08/09 04:50:08 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 04:50:08 - mmengine - INFO - Epoch(train) [36][1879/1879] lr: 2.0000e-02 eta: 20:01:13 time: 0.5345 data_time: 0.0183 memory: 13723 grad_norm: 3.9992 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.5006 loss: 1.5006 2022/08/09 04:50:08 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/08/09 04:50:26 - mmengine - INFO - Epoch(val) [36][20/155] eta: 0:01:49 time: 0.8097 data_time: 0.6687 memory: 1829 2022/08/09 04:50:35 - mmengine - INFO - Epoch(val) [36][40/155] eta: 0:00:55 time: 0.4808 data_time: 0.3415 memory: 1829 2022/08/09 04:50:49 - mmengine - INFO - Epoch(val) [36][60/155] eta: 0:01:03 time: 0.6735 data_time: 0.5347 memory: 1829 2022/08/09 04:50:58 - mmengine - INFO - Epoch(val) [36][80/155] eta: 0:00:34 time: 0.4600 data_time: 0.3199 memory: 1829 2022/08/09 04:51:10 - mmengine - INFO - Epoch(val) [36][100/155] eta: 0:00:33 time: 0.6055 data_time: 0.4668 memory: 1829 2022/08/09 04:51:21 - mmengine - INFO - Epoch(val) [36][120/155] eta: 0:00:19 time: 0.5582 data_time: 0.4198 memory: 1829 2022/08/09 04:51:33 - mmengine - INFO - Epoch(val) [36][140/155] eta: 0:00:09 time: 0.6053 data_time: 0.4695 memory: 1829 2022/08/09 04:51:44 - mmengine - INFO - Epoch(val) [36][155/155] acc/top1: 0.6219 acc/top5: 0.8502 acc/mean1: 0.6216 2022/08/09 04:52:02 - mmengine - INFO - Epoch(train) [37][20/1879] lr: 2.0000e-02 eta: 20:00:41 time: 0.9267 data_time: 0.1971 memory: 13723 grad_norm: 3.8230 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4186 loss: 1.4186 2022/08/09 04:52:14 - mmengine - INFO - Epoch(train) [37][40/1879] lr: 2.0000e-02 eta: 20:00:28 time: 0.5707 data_time: 0.0206 memory: 13723 grad_norm: 3.7940 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3062 loss: 1.3062 2022/08/09 04:52:25 - mmengine - INFO - Epoch(train) [37][60/1879] lr: 2.0000e-02 eta: 20:00:15 time: 0.5683 data_time: 0.0231 memory: 13723 grad_norm: 3.7508 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3595 loss: 1.3595 2022/08/09 04:52:37 - mmengine - INFO - Epoch(train) [37][80/1879] lr: 2.0000e-02 eta: 20:00:02 time: 0.5722 data_time: 0.0237 memory: 13723 grad_norm: 3.9219 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2668 loss: 1.2668 2022/08/09 04:52:48 - mmengine - INFO - Epoch(train) [37][100/1879] lr: 2.0000e-02 eta: 19:59:49 time: 0.5770 data_time: 0.0240 memory: 13723 grad_norm: 3.8462 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1938 loss: 1.1938 2022/08/09 04:53:00 - mmengine - INFO - Epoch(train) [37][120/1879] lr: 2.0000e-02 eta: 19:59:36 time: 0.5767 data_time: 0.0246 memory: 13723 grad_norm: 4.0084 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3903 loss: 1.3903 2022/08/09 04:53:11 - mmengine - INFO - Epoch(train) [37][140/1879] lr: 2.0000e-02 eta: 19:59:23 time: 0.5738 data_time: 0.0225 memory: 13723 grad_norm: 3.9797 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3604 loss: 1.3604 2022/08/09 04:53:22 - mmengine - INFO - Epoch(train) [37][160/1879] lr: 2.0000e-02 eta: 19:59:10 time: 0.5659 data_time: 0.0243 memory: 13723 grad_norm: 3.9898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6158 loss: 1.6158 2022/08/09 04:53:34 - mmengine - INFO - Epoch(train) [37][180/1879] lr: 2.0000e-02 eta: 19:58:58 time: 0.5836 data_time: 0.0214 memory: 13723 grad_norm: 3.9349 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3105 loss: 1.3105 2022/08/09 04:53:47 - mmengine - INFO - Epoch(train) [37][200/1879] lr: 2.0000e-02 eta: 19:58:47 time: 0.6382 data_time: 0.0212 memory: 13723 grad_norm: 3.8493 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1373 loss: 1.1373 2022/08/09 04:53:58 - mmengine - INFO - Epoch(train) [37][220/1879] lr: 2.0000e-02 eta: 19:58:35 time: 0.5819 data_time: 0.0226 memory: 13723 grad_norm: 4.0495 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5484 loss: 1.5484 2022/08/09 04:54:10 - mmengine - INFO - Epoch(train) [37][240/1879] lr: 2.0000e-02 eta: 19:58:21 time: 0.5626 data_time: 0.0239 memory: 13723 grad_norm: 3.8804 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5372 loss: 1.5372 2022/08/09 04:54:21 - mmengine - INFO - Epoch(train) [37][260/1879] lr: 2.0000e-02 eta: 19:58:09 time: 0.5789 data_time: 0.0231 memory: 13723 grad_norm: 3.9939 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5035 loss: 1.5035 2022/08/09 04:54:33 - mmengine - INFO - Epoch(train) [37][280/1879] lr: 2.0000e-02 eta: 19:57:56 time: 0.5790 data_time: 0.0249 memory: 13723 grad_norm: 3.9439 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3222 loss: 1.3222 2022/08/09 04:54:45 - mmengine - INFO - Epoch(train) [37][300/1879] lr: 2.0000e-02 eta: 19:57:45 time: 0.6161 data_time: 0.0653 memory: 13723 grad_norm: 3.9314 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3055 loss: 1.3055 2022/08/09 04:54:57 - mmengine - INFO - Epoch(train) [37][320/1879] lr: 2.0000e-02 eta: 19:57:32 time: 0.5697 data_time: 0.0249 memory: 13723 grad_norm: 4.0010 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.4373 loss: 1.4373 2022/08/09 04:55:08 - mmengine - INFO - Epoch(train) [37][340/1879] lr: 2.0000e-02 eta: 19:57:18 time: 0.5672 data_time: 0.0191 memory: 13723 grad_norm: 3.9425 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4399 loss: 1.4399 2022/08/09 04:55:19 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 04:55:22 - mmengine - INFO - Epoch(train) [37][360/1879] lr: 2.0000e-02 eta: 19:57:11 time: 0.7197 data_time: 0.0287 memory: 13723 grad_norm: 3.8974 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4395 loss: 1.4395 2022/08/09 04:55:34 - mmengine - INFO - Epoch(train) [37][380/1879] lr: 2.0000e-02 eta: 19:56:58 time: 0.5801 data_time: 0.0232 memory: 13723 grad_norm: 3.9806 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.4444 loss: 1.4444 2022/08/09 04:55:46 - mmengine - INFO - Epoch(train) [37][400/1879] lr: 2.0000e-02 eta: 19:56:45 time: 0.5756 data_time: 0.0217 memory: 13723 grad_norm: 3.9483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3504 loss: 1.3504 2022/08/09 04:55:57 - mmengine - INFO - Epoch(train) [37][420/1879] lr: 2.0000e-02 eta: 19:56:32 time: 0.5763 data_time: 0.0253 memory: 13723 grad_norm: 3.8918 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4392 loss: 1.4392 2022/08/09 04:56:09 - mmengine - INFO - Epoch(train) [37][440/1879] lr: 2.0000e-02 eta: 19:56:20 time: 0.5818 data_time: 0.0195 memory: 13723 grad_norm: 3.9727 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4405 loss: 1.4405 2022/08/09 04:56:21 - mmengine - INFO - Epoch(train) [37][460/1879] lr: 2.0000e-02 eta: 19:56:08 time: 0.6105 data_time: 0.0212 memory: 13723 grad_norm: 3.9685 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5799 loss: 1.5799 2022/08/09 04:56:32 - mmengine - INFO - Epoch(train) [37][480/1879] lr: 2.0000e-02 eta: 19:55:55 time: 0.5736 data_time: 0.0219 memory: 13723 grad_norm: 3.9057 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5311 loss: 1.5311 2022/08/09 04:56:44 - mmengine - INFO - Epoch(train) [37][500/1879] lr: 2.0000e-02 eta: 19:55:43 time: 0.5770 data_time: 0.0235 memory: 13723 grad_norm: 3.9318 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3723 loss: 1.3723 2022/08/09 04:56:56 - mmengine - INFO - Epoch(train) [37][520/1879] lr: 2.0000e-02 eta: 19:55:30 time: 0.5754 data_time: 0.0248 memory: 13723 grad_norm: 4.0370 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4255 loss: 1.4255 2022/08/09 04:57:07 - mmengine - INFO - Epoch(train) [37][540/1879] lr: 2.0000e-02 eta: 19:55:17 time: 0.5785 data_time: 0.0234 memory: 13723 grad_norm: 3.9629 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5137 loss: 1.5137 2022/08/09 04:57:19 - mmengine - INFO - Epoch(train) [37][560/1879] lr: 2.0000e-02 eta: 19:55:05 time: 0.5967 data_time: 0.0235 memory: 13723 grad_norm: 3.8014 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3530 loss: 1.3530 2022/08/09 04:57:31 - mmengine - INFO - Epoch(train) [37][580/1879] lr: 2.0000e-02 eta: 19:54:52 time: 0.5782 data_time: 0.0220 memory: 13723 grad_norm: 3.9327 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6083 loss: 1.6083 2022/08/09 04:57:42 - mmengine - INFO - Epoch(train) [37][600/1879] lr: 2.0000e-02 eta: 19:54:40 time: 0.5831 data_time: 0.0232 memory: 13723 grad_norm: 3.9926 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7239 loss: 1.7239 2022/08/09 04:57:54 - mmengine - INFO - Epoch(train) [37][620/1879] lr: 2.0000e-02 eta: 19:54:28 time: 0.6064 data_time: 0.0237 memory: 13723 grad_norm: 3.9195 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3814 loss: 1.3814 2022/08/09 04:58:06 - mmengine - INFO - Epoch(train) [37][640/1879] lr: 2.0000e-02 eta: 19:54:15 time: 0.5759 data_time: 0.0230 memory: 13723 grad_norm: 3.8888 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4752 loss: 1.4752 2022/08/09 04:58:18 - mmengine - INFO - Epoch(train) [37][660/1879] lr: 2.0000e-02 eta: 19:54:03 time: 0.5784 data_time: 0.0229 memory: 13723 grad_norm: 3.8842 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2784 loss: 1.2784 2022/08/09 04:58:29 - mmengine - INFO - Epoch(train) [37][680/1879] lr: 2.0000e-02 eta: 19:53:50 time: 0.5675 data_time: 0.0236 memory: 13723 grad_norm: 3.8859 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3347 loss: 1.3347 2022/08/09 04:58:40 - mmengine - INFO - Epoch(train) [37][700/1879] lr: 2.0000e-02 eta: 19:53:37 time: 0.5707 data_time: 0.0237 memory: 13723 grad_norm: 3.8742 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4355 loss: 1.4355 2022/08/09 04:58:52 - mmengine - INFO - Epoch(train) [37][720/1879] lr: 2.0000e-02 eta: 19:53:24 time: 0.5819 data_time: 0.0227 memory: 13723 grad_norm: 4.0314 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5416 loss: 1.5416 2022/08/09 04:59:04 - mmengine - INFO - Epoch(train) [37][740/1879] lr: 2.0000e-02 eta: 19:53:11 time: 0.5779 data_time: 0.0245 memory: 13723 grad_norm: 3.8076 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4636 loss: 1.4636 2022/08/09 04:59:15 - mmengine - INFO - Epoch(train) [37][760/1879] lr: 2.0000e-02 eta: 19:52:58 time: 0.5685 data_time: 0.0213 memory: 13723 grad_norm: 3.9529 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5492 loss: 1.5492 2022/08/09 04:59:27 - mmengine - INFO - Epoch(train) [37][780/1879] lr: 2.0000e-02 eta: 19:52:47 time: 0.6075 data_time: 0.0257 memory: 13723 grad_norm: 3.8913 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3541 loss: 1.3541 2022/08/09 04:59:38 - mmengine - INFO - Epoch(train) [37][800/1879] lr: 2.0000e-02 eta: 19:52:33 time: 0.5675 data_time: 0.0211 memory: 13723 grad_norm: 4.0473 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5358 loss: 1.5358 2022/08/09 04:59:50 - mmengine - INFO - Epoch(train) [37][820/1879] lr: 2.0000e-02 eta: 19:52:21 time: 0.5726 data_time: 0.0229 memory: 13723 grad_norm: 4.0797 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5260 loss: 1.5260 2022/08/09 05:00:02 - mmengine - INFO - Epoch(train) [37][840/1879] lr: 2.0000e-02 eta: 19:52:09 time: 0.6003 data_time: 0.0234 memory: 13723 grad_norm: 3.8808 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5074 loss: 1.5074 2022/08/09 05:00:18 - mmengine - INFO - Epoch(train) [37][860/1879] lr: 2.0000e-02 eta: 19:52:04 time: 0.8082 data_time: 0.0216 memory: 13723 grad_norm: 4.0119 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4790 loss: 1.4790 2022/08/09 05:00:31 - mmengine - INFO - Epoch(train) [37][880/1879] lr: 2.0000e-02 eta: 19:51:54 time: 0.6461 data_time: 0.0220 memory: 13723 grad_norm: 3.9418 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3787 loss: 1.3787 2022/08/09 05:00:43 - mmengine - INFO - Epoch(train) [37][900/1879] lr: 2.0000e-02 eta: 19:51:41 time: 0.5764 data_time: 0.0212 memory: 13723 grad_norm: 3.9549 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4766 loss: 1.4766 2022/08/09 05:00:54 - mmengine - INFO - Epoch(train) [37][920/1879] lr: 2.0000e-02 eta: 19:51:29 time: 0.5906 data_time: 0.0217 memory: 13723 grad_norm: 3.8179 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5642 loss: 1.5642 2022/08/09 05:01:06 - mmengine - INFO - Epoch(train) [37][940/1879] lr: 2.0000e-02 eta: 19:51:16 time: 0.5741 data_time: 0.0236 memory: 13723 grad_norm: 3.7080 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1423 loss: 1.1423 2022/08/09 05:01:17 - mmengine - INFO - Epoch(train) [37][960/1879] lr: 2.0000e-02 eta: 19:51:03 time: 0.5768 data_time: 0.0237 memory: 13723 grad_norm: 3.9641 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6075 loss: 1.6075 2022/08/09 05:01:30 - mmengine - INFO - Epoch(train) [37][980/1879] lr: 2.0000e-02 eta: 19:50:52 time: 0.6175 data_time: 0.0210 memory: 13723 grad_norm: 3.8407 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4367 loss: 1.4367 2022/08/09 05:01:43 - mmengine - INFO - Epoch(train) [37][1000/1879] lr: 2.0000e-02 eta: 19:50:42 time: 0.6696 data_time: 0.0221 memory: 13723 grad_norm: 3.9303 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4727 loss: 1.4727 2022/08/09 05:01:55 - mmengine - INFO - Epoch(train) [37][1020/1879] lr: 2.0000e-02 eta: 19:50:29 time: 0.5697 data_time: 0.0234 memory: 13723 grad_norm: 3.9672 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4181 loss: 1.4181 2022/08/09 05:02:06 - mmengine - INFO - Epoch(train) [37][1040/1879] lr: 2.0000e-02 eta: 19:50:16 time: 0.5825 data_time: 0.0233 memory: 13723 grad_norm: 3.9784 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7888 loss: 1.7888 2022/08/09 05:02:18 - mmengine - INFO - Epoch(train) [37][1060/1879] lr: 2.0000e-02 eta: 19:50:04 time: 0.5786 data_time: 0.0230 memory: 13723 grad_norm: 3.9679 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3264 loss: 1.3264 2022/08/09 05:02:29 - mmengine - INFO - Epoch(train) [37][1080/1879] lr: 2.0000e-02 eta: 19:49:51 time: 0.5719 data_time: 0.0244 memory: 13723 grad_norm: 3.8583 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4278 loss: 1.4278 2022/08/09 05:02:41 - mmengine - INFO - Epoch(train) [37][1100/1879] lr: 2.0000e-02 eta: 19:49:38 time: 0.5693 data_time: 0.0243 memory: 13723 grad_norm: 3.9880 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4542 loss: 1.4542 2022/08/09 05:02:52 - mmengine - INFO - Epoch(train) [37][1120/1879] lr: 2.0000e-02 eta: 19:49:25 time: 0.5809 data_time: 0.0239 memory: 13723 grad_norm: 3.7954 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4495 loss: 1.4495 2022/08/09 05:03:04 - mmengine - INFO - Epoch(train) [37][1140/1879] lr: 2.0000e-02 eta: 19:49:12 time: 0.5741 data_time: 0.0239 memory: 13723 grad_norm: 3.9482 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4386 loss: 1.4386 2022/08/09 05:03:18 - mmengine - INFO - Epoch(train) [37][1160/1879] lr: 2.0000e-02 eta: 19:49:05 time: 0.7237 data_time: 0.0225 memory: 13723 grad_norm: 3.9793 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3519 loss: 1.3519 2022/08/09 05:03:30 - mmengine - INFO - Epoch(train) [37][1180/1879] lr: 2.0000e-02 eta: 19:48:52 time: 0.5831 data_time: 0.0218 memory: 13723 grad_norm: 3.9543 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5093 loss: 1.5093 2022/08/09 05:03:43 - mmengine - INFO - Epoch(train) [37][1200/1879] lr: 2.0000e-02 eta: 19:48:42 time: 0.6538 data_time: 0.0204 memory: 13723 grad_norm: 3.8953 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3897 loss: 1.3897 2022/08/09 05:03:55 - mmengine - INFO - Epoch(train) [37][1220/1879] lr: 2.0000e-02 eta: 19:48:29 time: 0.5747 data_time: 0.0254 memory: 13723 grad_norm: 3.8657 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6072 loss: 1.6072 2022/08/09 05:04:06 - mmengine - INFO - Epoch(train) [37][1240/1879] lr: 2.0000e-02 eta: 19:48:16 time: 0.5751 data_time: 0.0225 memory: 13723 grad_norm: 3.9565 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5006 loss: 1.5006 2022/08/09 05:04:18 - mmengine - INFO - Epoch(train) [37][1260/1879] lr: 2.0000e-02 eta: 19:48:04 time: 0.5762 data_time: 0.0233 memory: 13723 grad_norm: 3.7999 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2517 loss: 1.2517 2022/08/09 05:04:32 - mmengine - INFO - Epoch(train) [37][1280/1879] lr: 2.0000e-02 eta: 19:47:55 time: 0.7064 data_time: 0.0237 memory: 13723 grad_norm: 3.9652 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3488 loss: 1.3488 2022/08/09 05:04:43 - mmengine - INFO - Epoch(train) [37][1300/1879] lr: 2.0000e-02 eta: 19:47:42 time: 0.5627 data_time: 0.0241 memory: 13723 grad_norm: 3.9086 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4326 loss: 1.4326 2022/08/09 05:04:54 - mmengine - INFO - Epoch(train) [37][1320/1879] lr: 2.0000e-02 eta: 19:47:29 time: 0.5717 data_time: 0.0230 memory: 13723 grad_norm: 3.8686 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5559 loss: 1.5559 2022/08/09 05:05:06 - mmengine - INFO - Epoch(train) [37][1340/1879] lr: 2.0000e-02 eta: 19:47:16 time: 0.5657 data_time: 0.0221 memory: 13723 grad_norm: 3.9891 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5315 loss: 1.5315 2022/08/09 05:05:16 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 05:05:19 - mmengine - INFO - Epoch(train) [37][1360/1879] lr: 2.0000e-02 eta: 19:47:06 time: 0.6506 data_time: 0.0249 memory: 13723 grad_norm: 4.0518 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3422 loss: 1.3422 2022/08/09 05:05:31 - mmengine - INFO - Epoch(train) [37][1380/1879] lr: 2.0000e-02 eta: 19:46:54 time: 0.5902 data_time: 0.0226 memory: 13723 grad_norm: 3.8470 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4518 loss: 1.4518 2022/08/09 05:05:43 - mmengine - INFO - Epoch(train) [37][1400/1879] lr: 2.0000e-02 eta: 19:46:43 time: 0.6340 data_time: 0.0223 memory: 13723 grad_norm: 3.9086 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5449 loss: 1.5449 2022/08/09 05:05:55 - mmengine - INFO - Epoch(train) [37][1420/1879] lr: 2.0000e-02 eta: 19:46:30 time: 0.5765 data_time: 0.0225 memory: 13723 grad_norm: 3.8464 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3349 loss: 1.3349 2022/08/09 05:06:06 - mmengine - INFO - Epoch(train) [37][1440/1879] lr: 2.0000e-02 eta: 19:46:17 time: 0.5742 data_time: 0.0232 memory: 13723 grad_norm: 3.9958 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4815 loss: 1.4815 2022/08/09 05:06:18 - mmengine - INFO - Epoch(train) [37][1460/1879] lr: 2.0000e-02 eta: 19:46:04 time: 0.5734 data_time: 0.0243 memory: 13723 grad_norm: 3.9691 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5738 loss: 1.5738 2022/08/09 05:06:29 - mmengine - INFO - Epoch(train) [37][1480/1879] lr: 2.0000e-02 eta: 19:45:51 time: 0.5703 data_time: 0.0243 memory: 13723 grad_norm: 3.9242 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3934 loss: 1.3934 2022/08/09 05:06:41 - mmengine - INFO - Epoch(train) [37][1500/1879] lr: 2.0000e-02 eta: 19:45:39 time: 0.5858 data_time: 0.0271 memory: 13723 grad_norm: 3.8086 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.3160 loss: 1.3160 2022/08/09 05:06:53 - mmengine - INFO - Epoch(train) [37][1520/1879] lr: 2.0000e-02 eta: 19:45:26 time: 0.5813 data_time: 0.0229 memory: 13723 grad_norm: 3.8246 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5314 loss: 1.5314 2022/08/09 05:07:04 - mmengine - INFO - Epoch(train) [37][1540/1879] lr: 2.0000e-02 eta: 19:45:14 time: 0.5730 data_time: 0.0241 memory: 13723 grad_norm: 3.9230 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4304 loss: 1.4304 2022/08/09 05:07:15 - mmengine - INFO - Epoch(train) [37][1560/1879] lr: 2.0000e-02 eta: 19:45:01 time: 0.5736 data_time: 0.0250 memory: 13723 grad_norm: 3.9319 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6301 loss: 1.6301 2022/08/09 05:07:27 - mmengine - INFO - Epoch(train) [37][1580/1879] lr: 2.0000e-02 eta: 19:44:48 time: 0.5710 data_time: 0.0233 memory: 13723 grad_norm: 3.8097 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4463 loss: 1.4463 2022/08/09 05:07:39 - mmengine - INFO - Epoch(train) [37][1600/1879] lr: 2.0000e-02 eta: 19:44:35 time: 0.5804 data_time: 0.0259 memory: 13723 grad_norm: 3.9482 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6578 loss: 1.6578 2022/08/09 05:07:51 - mmengine - INFO - Epoch(train) [37][1620/1879] lr: 2.0000e-02 eta: 19:44:23 time: 0.6017 data_time: 0.0249 memory: 13723 grad_norm: 3.8487 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3082 loss: 1.3082 2022/08/09 05:08:02 - mmengine - INFO - Epoch(train) [37][1640/1879] lr: 2.0000e-02 eta: 19:44:10 time: 0.5689 data_time: 0.0233 memory: 13723 grad_norm: 3.8743 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2669 loss: 1.2669 2022/08/09 05:08:13 - mmengine - INFO - Epoch(train) [37][1660/1879] lr: 2.0000e-02 eta: 19:43:57 time: 0.5666 data_time: 0.0251 memory: 13723 grad_norm: 3.9415 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3187 loss: 1.3187 2022/08/09 05:08:25 - mmengine - INFO - Epoch(train) [37][1680/1879] lr: 2.0000e-02 eta: 19:43:45 time: 0.5801 data_time: 0.0228 memory: 13723 grad_norm: 3.9077 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6537 loss: 1.6537 2022/08/09 05:08:37 - mmengine - INFO - Epoch(train) [37][1700/1879] lr: 2.0000e-02 eta: 19:43:32 time: 0.5908 data_time: 0.0246 memory: 13723 grad_norm: 3.9290 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4625 loss: 1.4625 2022/08/09 05:08:48 - mmengine - INFO - Epoch(train) [37][1720/1879] lr: 2.0000e-02 eta: 19:43:19 time: 0.5716 data_time: 0.0231 memory: 13723 grad_norm: 3.9227 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3761 loss: 1.3761 2022/08/09 05:09:00 - mmengine - INFO - Epoch(train) [37][1740/1879] lr: 2.0000e-02 eta: 19:43:07 time: 0.5797 data_time: 0.0261 memory: 13723 grad_norm: 3.9266 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4764 loss: 1.4764 2022/08/09 05:09:11 - mmengine - INFO - Epoch(train) [37][1760/1879] lr: 2.0000e-02 eta: 19:42:54 time: 0.5726 data_time: 0.0224 memory: 13723 grad_norm: 3.8100 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3708 loss: 1.3708 2022/08/09 05:09:24 - mmengine - INFO - Epoch(train) [37][1780/1879] lr: 2.0000e-02 eta: 19:42:43 time: 0.6331 data_time: 0.0225 memory: 13723 grad_norm: 3.9035 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6444 loss: 1.6444 2022/08/09 05:09:36 - mmengine - INFO - Epoch(train) [37][1800/1879] lr: 2.0000e-02 eta: 19:42:30 time: 0.5811 data_time: 0.0227 memory: 13723 grad_norm: 4.0108 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5053 loss: 1.5053 2022/08/09 05:09:47 - mmengine - INFO - Epoch(train) [37][1820/1879] lr: 2.0000e-02 eta: 19:42:17 time: 0.5667 data_time: 0.0240 memory: 13723 grad_norm: 3.8690 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4299 loss: 1.4299 2022/08/09 05:09:58 - mmengine - INFO - Epoch(train) [37][1840/1879] lr: 2.0000e-02 eta: 19:42:05 time: 0.5773 data_time: 0.0229 memory: 13723 grad_norm: 3.7517 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5167 loss: 1.5167 2022/08/09 05:10:11 - mmengine - INFO - Epoch(train) [37][1860/1879] lr: 2.0000e-02 eta: 19:41:53 time: 0.6139 data_time: 0.0416 memory: 13723 grad_norm: 3.8375 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4071 loss: 1.4071 2022/08/09 05:10:21 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 05:10:21 - mmengine - INFO - Epoch(train) [37][1879/1879] lr: 2.0000e-02 eta: 19:41:53 time: 0.5422 data_time: 0.0169 memory: 13723 grad_norm: 3.9382 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.4767 loss: 1.4767 2022/08/09 05:10:34 - mmengine - INFO - Epoch(val) [37][20/155] eta: 0:01:29 time: 0.6659 data_time: 0.5255 memory: 1829 2022/08/09 05:10:45 - mmengine - INFO - Epoch(val) [37][40/155] eta: 0:01:02 time: 0.5428 data_time: 0.4038 memory: 1829 2022/08/09 05:10:55 - mmengine - INFO - Epoch(val) [37][60/155] eta: 0:00:44 time: 0.4709 data_time: 0.3293 memory: 1829 2022/08/09 05:11:08 - mmengine - INFO - Epoch(val) [37][80/155] eta: 0:00:48 time: 0.6497 data_time: 0.5106 memory: 1829 2022/08/09 05:11:19 - mmengine - INFO - Epoch(val) [37][100/155] eta: 0:00:31 time: 0.5765 data_time: 0.4372 memory: 1829 2022/08/09 05:11:33 - mmengine - INFO - Epoch(val) [37][120/155] eta: 0:00:24 time: 0.7079 data_time: 0.5689 memory: 1829 2022/08/09 05:11:41 - mmengine - INFO - Epoch(val) [37][140/155] eta: 0:00:05 time: 0.3939 data_time: 0.2573 memory: 1829 2022/08/09 05:11:51 - mmengine - INFO - Epoch(val) [37][155/155] acc/top1: 0.6315 acc/top5: 0.8493 acc/mean1: 0.6314 2022/08/09 05:11:51 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_27.pth is removed 2022/08/09 05:11:52 - mmengine - INFO - The best checkpoint with 0.6315 acc/top1 at 38 epoch is saved to best_acc/top1_epoch_38.pth. 2022/08/09 05:12:09 - mmengine - INFO - Epoch(train) [38][20/1879] lr: 2.0000e-02 eta: 19:41:18 time: 0.8266 data_time: 0.2770 memory: 13723 grad_norm: 3.8431 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4149 loss: 1.4149 2022/08/09 05:12:21 - mmengine - INFO - Epoch(train) [38][40/1879] lr: 2.0000e-02 eta: 19:41:06 time: 0.6002 data_time: 0.0431 memory: 13723 grad_norm: 3.6893 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2183 loss: 1.2183 2022/08/09 05:12:32 - mmengine - INFO - Epoch(train) [38][60/1879] lr: 2.0000e-02 eta: 19:40:53 time: 0.5747 data_time: 0.0242 memory: 13723 grad_norm: 3.7844 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.3412 loss: 1.3412 2022/08/09 05:12:44 - mmengine - INFO - Epoch(train) [38][80/1879] lr: 2.0000e-02 eta: 19:40:40 time: 0.5695 data_time: 0.0235 memory: 13723 grad_norm: 3.7879 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4286 loss: 1.4286 2022/08/09 05:12:55 - mmengine - INFO - Epoch(train) [38][100/1879] lr: 2.0000e-02 eta: 19:40:28 time: 0.5765 data_time: 0.0240 memory: 13723 grad_norm: 3.7635 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2262 loss: 1.2262 2022/08/09 05:13:07 - mmengine - INFO - Epoch(train) [38][120/1879] lr: 2.0000e-02 eta: 19:40:15 time: 0.5720 data_time: 0.0248 memory: 13723 grad_norm: 3.7976 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3482 loss: 1.3482 2022/08/09 05:13:18 - mmengine - INFO - Epoch(train) [38][140/1879] lr: 2.0000e-02 eta: 19:40:02 time: 0.5700 data_time: 0.0206 memory: 13723 grad_norm: 3.9563 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4940 loss: 1.4940 2022/08/09 05:13:30 - mmengine - INFO - Epoch(train) [38][160/1879] lr: 2.0000e-02 eta: 19:39:49 time: 0.5687 data_time: 0.0264 memory: 13723 grad_norm: 3.9949 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4854 loss: 1.4854 2022/08/09 05:13:41 - mmengine - INFO - Epoch(train) [38][180/1879] lr: 2.0000e-02 eta: 19:39:36 time: 0.5691 data_time: 0.0231 memory: 13723 grad_norm: 3.8621 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3102 loss: 1.3102 2022/08/09 05:13:52 - mmengine - INFO - Epoch(train) [38][200/1879] lr: 2.0000e-02 eta: 19:39:23 time: 0.5692 data_time: 0.0256 memory: 13723 grad_norm: 3.8320 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3220 loss: 1.3220 2022/08/09 05:14:04 - mmengine - INFO - Epoch(train) [38][220/1879] lr: 2.0000e-02 eta: 19:39:10 time: 0.5765 data_time: 0.0287 memory: 13723 grad_norm: 3.9142 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3551 loss: 1.3551 2022/08/09 05:14:15 - mmengine - INFO - Epoch(train) [38][240/1879] lr: 2.0000e-02 eta: 19:38:57 time: 0.5749 data_time: 0.0240 memory: 13723 grad_norm: 3.9514 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4387 loss: 1.4387 2022/08/09 05:14:27 - mmengine - INFO - Epoch(train) [38][260/1879] lr: 2.0000e-02 eta: 19:38:44 time: 0.5673 data_time: 0.0228 memory: 13723 grad_norm: 3.8596 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4677 loss: 1.4677 2022/08/09 05:14:38 - mmengine - INFO - Epoch(train) [38][280/1879] lr: 2.0000e-02 eta: 19:38:31 time: 0.5646 data_time: 0.0240 memory: 13723 grad_norm: 3.8879 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3872 loss: 1.3872 2022/08/09 05:14:49 - mmengine - INFO - Epoch(train) [38][300/1879] lr: 2.0000e-02 eta: 19:38:18 time: 0.5684 data_time: 0.0244 memory: 13723 grad_norm: 4.0313 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3200 loss: 1.3200 2022/08/09 05:15:01 - mmengine - INFO - Epoch(train) [38][320/1879] lr: 2.0000e-02 eta: 19:38:06 time: 0.5761 data_time: 0.0223 memory: 13723 grad_norm: 3.9985 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4393 loss: 1.4393 2022/08/09 05:15:13 - mmengine - INFO - Epoch(train) [38][340/1879] lr: 2.0000e-02 eta: 19:37:53 time: 0.5977 data_time: 0.0564 memory: 13723 grad_norm: 4.0082 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3877 loss: 1.3877 2022/08/09 05:15:25 - mmengine - INFO - Epoch(train) [38][360/1879] lr: 2.0000e-02 eta: 19:37:42 time: 0.6130 data_time: 0.0264 memory: 13723 grad_norm: 3.9751 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6110 loss: 1.6110 2022/08/09 05:15:38 - mmengine - INFO - Epoch(train) [38][380/1879] lr: 2.0000e-02 eta: 19:37:32 time: 0.6581 data_time: 0.0225 memory: 13723 grad_norm: 3.8665 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3540 loss: 1.3540 2022/08/09 05:15:50 - mmengine - INFO - Epoch(train) [38][400/1879] lr: 2.0000e-02 eta: 19:37:20 time: 0.5967 data_time: 0.0192 memory: 13723 grad_norm: 3.9524 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3232 loss: 1.3232 2022/08/09 05:16:02 - mmengine - INFO - Epoch(train) [38][420/1879] lr: 2.0000e-02 eta: 19:37:07 time: 0.5702 data_time: 0.0225 memory: 13723 grad_norm: 3.9589 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4143 loss: 1.4143 2022/08/09 05:16:14 - mmengine - INFO - Epoch(train) [38][440/1879] lr: 2.0000e-02 eta: 19:36:55 time: 0.6076 data_time: 0.0238 memory: 13723 grad_norm: 3.9107 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4114 loss: 1.4114 2022/08/09 05:16:25 - mmengine - INFO - Epoch(train) [38][460/1879] lr: 2.0000e-02 eta: 19:36:42 time: 0.5646 data_time: 0.0214 memory: 13723 grad_norm: 3.9946 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5002 loss: 1.5002 2022/08/09 05:16:35 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 05:16:37 - mmengine - INFO - Epoch(train) [38][480/1879] lr: 2.0000e-02 eta: 19:36:29 time: 0.5707 data_time: 0.0243 memory: 13723 grad_norm: 3.9332 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5456 loss: 1.5456 2022/08/09 05:16:48 - mmengine - INFO - Epoch(train) [38][500/1879] lr: 2.0000e-02 eta: 19:36:16 time: 0.5683 data_time: 0.0228 memory: 13723 grad_norm: 3.8770 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.4577 loss: 1.4577 2022/08/09 05:17:00 - mmengine - INFO - Epoch(train) [38][520/1879] lr: 2.0000e-02 eta: 19:36:03 time: 0.5732 data_time: 0.0233 memory: 13723 grad_norm: 4.0258 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.4614 loss: 1.4614 2022/08/09 05:17:11 - mmengine - INFO - Epoch(train) [38][540/1879] lr: 2.0000e-02 eta: 19:35:51 time: 0.5691 data_time: 0.0247 memory: 13723 grad_norm: 4.0205 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2985 loss: 1.2985 2022/08/09 05:17:22 - mmengine - INFO - Epoch(train) [38][560/1879] lr: 2.0000e-02 eta: 19:35:38 time: 0.5732 data_time: 0.0217 memory: 13723 grad_norm: 3.9367 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3267 loss: 1.3267 2022/08/09 05:17:35 - mmengine - INFO - Epoch(train) [38][580/1879] lr: 2.0000e-02 eta: 19:35:26 time: 0.6074 data_time: 0.0207 memory: 13723 grad_norm: 3.9291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4129 loss: 1.4129 2022/08/09 05:17:46 - mmengine - INFO - Epoch(train) [38][600/1879] lr: 2.0000e-02 eta: 19:35:13 time: 0.5661 data_time: 0.0244 memory: 13723 grad_norm: 3.9623 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3566 loss: 1.3566 2022/08/09 05:17:58 - mmengine - INFO - Epoch(train) [38][620/1879] lr: 2.0000e-02 eta: 19:35:01 time: 0.6015 data_time: 0.0235 memory: 13723 grad_norm: 3.7806 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2479 loss: 1.2479 2022/08/09 05:18:09 - mmengine - INFO - Epoch(train) [38][640/1879] lr: 2.0000e-02 eta: 19:34:48 time: 0.5627 data_time: 0.0237 memory: 13723 grad_norm: 4.0190 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5498 loss: 1.5498 2022/08/09 05:18:21 - mmengine - INFO - Epoch(train) [38][660/1879] lr: 2.0000e-02 eta: 19:34:35 time: 0.5702 data_time: 0.0240 memory: 13723 grad_norm: 3.9626 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3852 loss: 1.3852 2022/08/09 05:18:32 - mmengine - INFO - Epoch(train) [38][680/1879] lr: 2.0000e-02 eta: 19:34:22 time: 0.5698 data_time: 0.0256 memory: 13723 grad_norm: 4.0684 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4957 loss: 1.4957 2022/08/09 05:18:43 - mmengine - INFO - Epoch(train) [38][700/1879] lr: 2.0000e-02 eta: 19:34:09 time: 0.5685 data_time: 0.0205 memory: 13723 grad_norm: 3.8365 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4062 loss: 1.4062 2022/08/09 05:18:55 - mmengine - INFO - Epoch(train) [38][720/1879] lr: 2.0000e-02 eta: 19:33:56 time: 0.5685 data_time: 0.0251 memory: 13723 grad_norm: 3.9391 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4145 loss: 1.4145 2022/08/09 05:19:06 - mmengine - INFO - Epoch(train) [38][740/1879] lr: 2.0000e-02 eta: 19:33:43 time: 0.5707 data_time: 0.0233 memory: 13723 grad_norm: 3.9170 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3305 loss: 1.3305 2022/08/09 05:19:17 - mmengine - INFO - Epoch(train) [38][760/1879] lr: 2.0000e-02 eta: 19:33:30 time: 0.5658 data_time: 0.0236 memory: 13723 grad_norm: 3.7877 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2465 loss: 1.2465 2022/08/09 05:19:29 - mmengine - INFO - Epoch(train) [38][780/1879] lr: 2.0000e-02 eta: 19:33:17 time: 0.5740 data_time: 0.0251 memory: 13723 grad_norm: 4.0631 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4569 loss: 1.4569 2022/08/09 05:19:40 - mmengine - INFO - Epoch(train) [38][800/1879] lr: 2.0000e-02 eta: 19:33:04 time: 0.5724 data_time: 0.0249 memory: 13723 grad_norm: 3.9766 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3607 loss: 1.3607 2022/08/09 05:19:52 - mmengine - INFO - Epoch(train) [38][820/1879] lr: 2.0000e-02 eta: 19:32:51 time: 0.5610 data_time: 0.0240 memory: 13723 grad_norm: 3.9926 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2931 loss: 1.2931 2022/08/09 05:20:03 - mmengine - INFO - Epoch(train) [38][840/1879] lr: 2.0000e-02 eta: 19:32:38 time: 0.5676 data_time: 0.0249 memory: 13723 grad_norm: 3.9407 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3561 loss: 1.3561 2022/08/09 05:20:19 - mmengine - INFO - Epoch(train) [38][860/1879] lr: 2.0000e-02 eta: 19:32:33 time: 0.8140 data_time: 0.0665 memory: 13723 grad_norm: 3.9005 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3721 loss: 1.3721 2022/08/09 05:20:31 - mmengine - INFO - Epoch(train) [38][880/1879] lr: 2.0000e-02 eta: 19:32:21 time: 0.5994 data_time: 0.0307 memory: 13723 grad_norm: 3.9828 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3557 loss: 1.3557 2022/08/09 05:20:43 - mmengine - INFO - Epoch(train) [38][900/1879] lr: 2.0000e-02 eta: 19:32:09 time: 0.5938 data_time: 0.0236 memory: 13723 grad_norm: 3.9267 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4010 loss: 1.4010 2022/08/09 05:20:55 - mmengine - INFO - Epoch(train) [38][920/1879] lr: 2.0000e-02 eta: 19:31:56 time: 0.5730 data_time: 0.0270 memory: 13723 grad_norm: 4.0358 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5393 loss: 1.5393 2022/08/09 05:21:06 - mmengine - INFO - Epoch(train) [38][940/1879] lr: 2.0000e-02 eta: 19:31:44 time: 0.5776 data_time: 0.0232 memory: 13723 grad_norm: 3.9554 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3053 loss: 1.3053 2022/08/09 05:21:18 - mmengine - INFO - Epoch(train) [38][960/1879] lr: 2.0000e-02 eta: 19:31:31 time: 0.5676 data_time: 0.0241 memory: 13723 grad_norm: 3.8804 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5329 loss: 1.5329 2022/08/09 05:21:29 - mmengine - INFO - Epoch(train) [38][980/1879] lr: 2.0000e-02 eta: 19:31:18 time: 0.5705 data_time: 0.0225 memory: 13723 grad_norm: 3.9638 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3028 loss: 1.3028 2022/08/09 05:21:41 - mmengine - INFO - Epoch(train) [38][1000/1879] lr: 2.0000e-02 eta: 19:31:05 time: 0.5732 data_time: 0.0231 memory: 13723 grad_norm: 4.0054 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4706 loss: 1.4706 2022/08/09 05:21:52 - mmengine - INFO - Epoch(train) [38][1020/1879] lr: 2.0000e-02 eta: 19:30:52 time: 0.5743 data_time: 0.0237 memory: 13723 grad_norm: 4.0367 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4261 loss: 1.4261 2022/08/09 05:22:04 - mmengine - INFO - Epoch(train) [38][1040/1879] lr: 2.0000e-02 eta: 19:30:40 time: 0.5798 data_time: 0.0250 memory: 13723 grad_norm: 3.9644 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3936 loss: 1.3936 2022/08/09 05:22:15 - mmengine - INFO - Epoch(train) [38][1060/1879] lr: 2.0000e-02 eta: 19:30:27 time: 0.5668 data_time: 0.0244 memory: 13723 grad_norm: 3.9939 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4898 loss: 1.4898 2022/08/09 05:22:26 - mmengine - INFO - Epoch(train) [38][1080/1879] lr: 2.0000e-02 eta: 19:30:14 time: 0.5671 data_time: 0.0230 memory: 13723 grad_norm: 4.0596 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6895 loss: 1.6895 2022/08/09 05:22:38 - mmengine - INFO - Epoch(train) [38][1100/1879] lr: 2.0000e-02 eta: 19:30:01 time: 0.5745 data_time: 0.0236 memory: 13723 grad_norm: 3.8464 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3323 loss: 1.3323 2022/08/09 05:22:49 - mmengine - INFO - Epoch(train) [38][1120/1879] lr: 2.0000e-02 eta: 19:29:48 time: 0.5695 data_time: 0.0251 memory: 13723 grad_norm: 3.7824 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3510 loss: 1.3510 2022/08/09 05:23:01 - mmengine - INFO - Epoch(train) [38][1140/1879] lr: 2.0000e-02 eta: 19:29:35 time: 0.5698 data_time: 0.0229 memory: 13723 grad_norm: 3.8682 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3855 loss: 1.3855 2022/08/09 05:23:12 - mmengine - INFO - Epoch(train) [38][1160/1879] lr: 2.0000e-02 eta: 19:29:22 time: 0.5701 data_time: 0.0237 memory: 13723 grad_norm: 4.0656 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4941 loss: 1.4941 2022/08/09 05:23:24 - mmengine - INFO - Epoch(train) [38][1180/1879] lr: 2.0000e-02 eta: 19:29:10 time: 0.6101 data_time: 0.0203 memory: 13723 grad_norm: 3.9917 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5067 loss: 1.5067 2022/08/09 05:23:36 - mmengine - INFO - Epoch(train) [38][1200/1879] lr: 2.0000e-02 eta: 19:28:58 time: 0.5757 data_time: 0.0236 memory: 13723 grad_norm: 3.9497 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2750 loss: 1.2750 2022/08/09 05:23:47 - mmengine - INFO - Epoch(train) [38][1220/1879] lr: 2.0000e-02 eta: 19:28:45 time: 0.5690 data_time: 0.0224 memory: 13723 grad_norm: 3.8203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3839 loss: 1.3839 2022/08/09 05:23:59 - mmengine - INFO - Epoch(train) [38][1240/1879] lr: 2.0000e-02 eta: 19:28:33 time: 0.5971 data_time: 0.0553 memory: 13723 grad_norm: 3.9530 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4502 loss: 1.4502 2022/08/09 05:24:10 - mmengine - INFO - Epoch(train) [38][1260/1879] lr: 2.0000e-02 eta: 19:28:20 time: 0.5641 data_time: 0.0248 memory: 13723 grad_norm: 3.9045 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3858 loss: 1.3858 2022/08/09 05:24:22 - mmengine - INFO - Epoch(train) [38][1280/1879] lr: 2.0000e-02 eta: 19:28:07 time: 0.5715 data_time: 0.0246 memory: 13723 grad_norm: 3.9673 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2820 loss: 1.2820 2022/08/09 05:24:33 - mmengine - INFO - Epoch(train) [38][1300/1879] lr: 2.0000e-02 eta: 19:27:54 time: 0.5735 data_time: 0.0266 memory: 13723 grad_norm: 3.9837 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3866 loss: 1.3866 2022/08/09 05:24:45 - mmengine - INFO - Epoch(train) [38][1320/1879] lr: 2.0000e-02 eta: 19:27:41 time: 0.5681 data_time: 0.0224 memory: 13723 grad_norm: 3.9016 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4553 loss: 1.4553 2022/08/09 05:24:56 - mmengine - INFO - Epoch(train) [38][1340/1879] lr: 2.0000e-02 eta: 19:27:28 time: 0.5663 data_time: 0.0244 memory: 13723 grad_norm: 3.9240 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3340 loss: 1.3340 2022/08/09 05:25:07 - mmengine - INFO - Epoch(train) [38][1360/1879] lr: 2.0000e-02 eta: 19:27:15 time: 0.5659 data_time: 0.0230 memory: 13723 grad_norm: 3.9125 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2074 loss: 1.2074 2022/08/09 05:25:20 - mmengine - INFO - Epoch(train) [38][1380/1879] lr: 2.0000e-02 eta: 19:27:03 time: 0.6100 data_time: 0.0246 memory: 13723 grad_norm: 3.9133 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.3747 loss: 1.3747 2022/08/09 05:25:32 - mmengine - INFO - Epoch(train) [38][1400/1879] lr: 2.0000e-02 eta: 19:26:51 time: 0.5998 data_time: 0.0306 memory: 13723 grad_norm: 3.9593 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3925 loss: 1.3925 2022/08/09 05:25:43 - mmengine - INFO - Epoch(train) [38][1420/1879] lr: 2.0000e-02 eta: 19:26:39 time: 0.5946 data_time: 0.0202 memory: 13723 grad_norm: 3.8308 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3156 loss: 1.3156 2022/08/09 05:25:55 - mmengine - INFO - Epoch(train) [38][1440/1879] lr: 2.0000e-02 eta: 19:26:27 time: 0.5795 data_time: 0.0252 memory: 13723 grad_norm: 4.1088 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5053 loss: 1.5053 2022/08/09 05:26:07 - mmengine - INFO - Epoch(train) [38][1460/1879] lr: 2.0000e-02 eta: 19:26:14 time: 0.5725 data_time: 0.0249 memory: 13723 grad_norm: 4.0862 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4124 loss: 1.4124 2022/08/09 05:26:16 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 05:26:18 - mmengine - INFO - Epoch(train) [38][1480/1879] lr: 2.0000e-02 eta: 19:26:01 time: 0.5759 data_time: 0.0243 memory: 13723 grad_norm: 4.0557 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4880 loss: 1.4880 2022/08/09 05:26:30 - mmengine - INFO - Epoch(train) [38][1500/1879] lr: 2.0000e-02 eta: 19:25:49 time: 0.5783 data_time: 0.0233 memory: 13723 grad_norm: 3.8503 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3565 loss: 1.3565 2022/08/09 05:26:41 - mmengine - INFO - Epoch(train) [38][1520/1879] lr: 2.0000e-02 eta: 19:25:36 time: 0.5735 data_time: 0.0240 memory: 13723 grad_norm: 3.8956 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4554 loss: 1.4554 2022/08/09 05:26:52 - mmengine - INFO - Epoch(train) [38][1540/1879] lr: 2.0000e-02 eta: 19:25:23 time: 0.5662 data_time: 0.0268 memory: 13723 grad_norm: 3.9344 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5092 loss: 1.5092 2022/08/09 05:27:04 - mmengine - INFO - Epoch(train) [38][1560/1879] lr: 2.0000e-02 eta: 19:25:10 time: 0.5748 data_time: 0.0259 memory: 13723 grad_norm: 4.1140 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5276 loss: 1.5276 2022/08/09 05:27:16 - mmengine - INFO - Epoch(train) [38][1580/1879] lr: 2.0000e-02 eta: 19:24:57 time: 0.5770 data_time: 0.0220 memory: 13723 grad_norm: 4.0206 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3005 loss: 1.3005 2022/08/09 05:27:27 - mmengine - INFO - Epoch(train) [38][1600/1879] lr: 2.0000e-02 eta: 19:24:45 time: 0.5735 data_time: 0.0238 memory: 13723 grad_norm: 4.0086 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5031 loss: 1.5031 2022/08/09 05:27:38 - mmengine - INFO - Epoch(train) [38][1620/1879] lr: 2.0000e-02 eta: 19:24:32 time: 0.5689 data_time: 0.0207 memory: 13723 grad_norm: 4.0914 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4215 loss: 1.4215 2022/08/09 05:27:50 - mmengine - INFO - Epoch(train) [38][1640/1879] lr: 2.0000e-02 eta: 19:24:20 time: 0.6037 data_time: 0.0226 memory: 13723 grad_norm: 4.0237 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5981 loss: 1.5981 2022/08/09 05:28:02 - mmengine - INFO - Epoch(train) [38][1660/1879] lr: 2.0000e-02 eta: 19:24:07 time: 0.5650 data_time: 0.0225 memory: 13723 grad_norm: 3.9550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4884 loss: 1.4884 2022/08/09 05:28:13 - mmengine - INFO - Epoch(train) [38][1680/1879] lr: 2.0000e-02 eta: 19:23:54 time: 0.5846 data_time: 0.0258 memory: 13723 grad_norm: 3.9147 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4374 loss: 1.4374 2022/08/09 05:28:25 - mmengine - INFO - Epoch(train) [38][1700/1879] lr: 2.0000e-02 eta: 19:23:42 time: 0.5951 data_time: 0.0227 memory: 13723 grad_norm: 3.9548 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1428 loss: 1.1428 2022/08/09 05:28:37 - mmengine - INFO - Epoch(train) [38][1720/1879] lr: 2.0000e-02 eta: 19:23:29 time: 0.5673 data_time: 0.0223 memory: 13723 grad_norm: 3.9734 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4773 loss: 1.4773 2022/08/09 05:28:48 - mmengine - INFO - Epoch(train) [38][1740/1879] lr: 2.0000e-02 eta: 19:23:16 time: 0.5723 data_time: 0.0256 memory: 13723 grad_norm: 3.9047 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5366 loss: 1.5366 2022/08/09 05:29:00 - mmengine - INFO - Epoch(train) [38][1760/1879] lr: 2.0000e-02 eta: 19:23:04 time: 0.5767 data_time: 0.0256 memory: 13723 grad_norm: 3.8922 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5268 loss: 1.5268 2022/08/09 05:29:11 - mmengine - INFO - Epoch(train) [38][1780/1879] lr: 2.0000e-02 eta: 19:22:51 time: 0.5790 data_time: 0.0232 memory: 13723 grad_norm: 3.9156 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3206 loss: 1.3206 2022/08/09 05:29:23 - mmengine - INFO - Epoch(train) [38][1800/1879] lr: 2.0000e-02 eta: 19:22:38 time: 0.5744 data_time: 0.0229 memory: 13723 grad_norm: 4.0077 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4512 loss: 1.4512 2022/08/09 05:29:35 - mmengine - INFO - Epoch(train) [38][1820/1879] lr: 2.0000e-02 eta: 19:22:26 time: 0.5714 data_time: 0.0248 memory: 13723 grad_norm: 3.9628 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5340 loss: 1.5340 2022/08/09 05:29:46 - mmengine - INFO - Epoch(train) [38][1840/1879] lr: 2.0000e-02 eta: 19:22:14 time: 0.5964 data_time: 0.0374 memory: 13723 grad_norm: 3.8820 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4850 loss: 1.4850 2022/08/09 05:29:58 - mmengine - INFO - Epoch(train) [38][1860/1879] lr: 2.0000e-02 eta: 19:22:01 time: 0.5737 data_time: 0.0232 memory: 13723 grad_norm: 4.0152 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3731 loss: 1.3731 2022/08/09 05:30:08 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 05:30:08 - mmengine - INFO - Epoch(train) [38][1879/1879] lr: 2.0000e-02 eta: 19:22:01 time: 0.5405 data_time: 0.0179 memory: 13723 grad_norm: 3.8788 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.4199 loss: 1.4199 2022/08/09 05:30:23 - mmengine - INFO - Epoch(val) [38][20/155] eta: 0:01:37 time: 0.7249 data_time: 0.5862 memory: 1829 2022/08/09 05:30:32 - mmengine - INFO - Epoch(val) [38][40/155] eta: 0:00:54 time: 0.4776 data_time: 0.3391 memory: 1829 2022/08/09 05:30:44 - mmengine - INFO - Epoch(val) [38][60/155] eta: 0:00:58 time: 0.6131 data_time: 0.4742 memory: 1829 2022/08/09 05:30:55 - mmengine - INFO - Epoch(val) [38][80/155] eta: 0:00:40 time: 0.5403 data_time: 0.4012 memory: 1829 2022/08/09 05:31:08 - mmengine - INFO - Epoch(val) [38][100/155] eta: 0:00:35 time: 0.6420 data_time: 0.5011 memory: 1829 2022/08/09 05:31:19 - mmengine - INFO - Epoch(val) [38][120/155] eta: 0:00:19 time: 0.5443 data_time: 0.4048 memory: 1829 2022/08/09 05:31:33 - mmengine - INFO - Epoch(val) [38][140/155] eta: 0:00:10 time: 0.7145 data_time: 0.5763 memory: 1829 2022/08/09 05:31:43 - mmengine - INFO - Epoch(val) [38][155/155] acc/top1: 0.6351 acc/top5: 0.8565 acc/mean1: 0.6351 2022/08/09 05:31:43 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_38.pth is removed 2022/08/09 05:31:44 - mmengine - INFO - The best checkpoint with 0.6351 acc/top1 at 39 epoch is saved to best_acc/top1_epoch_39.pth. 2022/08/09 05:32:01 - mmengine - INFO - Epoch(train) [39][20/1879] lr: 2.0000e-02 eta: 19:21:26 time: 0.8277 data_time: 0.2036 memory: 13723 grad_norm: 3.7809 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5057 loss: 1.5057 2022/08/09 05:32:13 - mmengine - INFO - Epoch(train) [39][40/1879] lr: 2.0000e-02 eta: 19:21:15 time: 0.6103 data_time: 0.0278 memory: 13723 grad_norm: 3.8106 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.2599 loss: 1.2599 2022/08/09 05:32:25 - mmengine - INFO - Epoch(train) [39][60/1879] lr: 2.0000e-02 eta: 19:21:02 time: 0.5771 data_time: 0.0225 memory: 13723 grad_norm: 3.8624 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3009 loss: 1.3009 2022/08/09 05:32:36 - mmengine - INFO - Epoch(train) [39][80/1879] lr: 2.0000e-02 eta: 19:20:50 time: 0.5842 data_time: 0.0236 memory: 13723 grad_norm: 3.9241 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2654 loss: 1.2654 2022/08/09 05:32:48 - mmengine - INFO - Epoch(train) [39][100/1879] lr: 2.0000e-02 eta: 19:20:37 time: 0.5707 data_time: 0.0226 memory: 13723 grad_norm: 3.8617 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2900 loss: 1.2900 2022/08/09 05:33:00 - mmengine - INFO - Epoch(train) [39][120/1879] lr: 2.0000e-02 eta: 19:20:25 time: 0.5914 data_time: 0.0243 memory: 13723 grad_norm: 3.8354 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4840 loss: 1.4840 2022/08/09 05:33:11 - mmengine - INFO - Epoch(train) [39][140/1879] lr: 2.0000e-02 eta: 19:20:12 time: 0.5680 data_time: 0.0217 memory: 13723 grad_norm: 3.9031 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3405 loss: 1.3405 2022/08/09 05:33:23 - mmengine - INFO - Epoch(train) [39][160/1879] lr: 2.0000e-02 eta: 19:19:59 time: 0.5709 data_time: 0.0231 memory: 13723 grad_norm: 3.8971 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2212 loss: 1.2212 2022/08/09 05:33:34 - mmengine - INFO - Epoch(train) [39][180/1879] lr: 2.0000e-02 eta: 19:19:46 time: 0.5741 data_time: 0.0235 memory: 13723 grad_norm: 3.9314 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4729 loss: 1.4729 2022/08/09 05:33:46 - mmengine - INFO - Epoch(train) [39][200/1879] lr: 2.0000e-02 eta: 19:19:33 time: 0.5780 data_time: 0.0215 memory: 13723 grad_norm: 3.9486 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5681 loss: 1.5681 2022/08/09 05:33:57 - mmengine - INFO - Epoch(train) [39][220/1879] lr: 2.0000e-02 eta: 19:19:21 time: 0.5817 data_time: 0.0248 memory: 13723 grad_norm: 3.9691 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3995 loss: 1.3995 2022/08/09 05:34:09 - mmengine - INFO - Epoch(train) [39][240/1879] lr: 2.0000e-02 eta: 19:19:09 time: 0.5891 data_time: 0.0223 memory: 13723 grad_norm: 3.9785 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4957 loss: 1.4957 2022/08/09 05:34:20 - mmengine - INFO - Epoch(train) [39][260/1879] lr: 2.0000e-02 eta: 19:18:56 time: 0.5637 data_time: 0.0224 memory: 13723 grad_norm: 3.9300 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4349 loss: 1.4349 2022/08/09 05:34:32 - mmengine - INFO - Epoch(train) [39][280/1879] lr: 2.0000e-02 eta: 19:18:43 time: 0.5805 data_time: 0.0231 memory: 13723 grad_norm: 4.0802 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6710 loss: 1.6710 2022/08/09 05:34:43 - mmengine - INFO - Epoch(train) [39][300/1879] lr: 2.0000e-02 eta: 19:18:30 time: 0.5700 data_time: 0.0228 memory: 13723 grad_norm: 3.9302 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4372 loss: 1.4372 2022/08/09 05:34:55 - mmengine - INFO - Epoch(train) [39][320/1879] lr: 2.0000e-02 eta: 19:18:18 time: 0.5793 data_time: 0.0236 memory: 13723 grad_norm: 3.9135 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4440 loss: 1.4440 2022/08/09 05:35:06 - mmengine - INFO - Epoch(train) [39][340/1879] lr: 2.0000e-02 eta: 19:18:05 time: 0.5762 data_time: 0.0240 memory: 13723 grad_norm: 3.9174 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4739 loss: 1.4739 2022/08/09 05:35:19 - mmengine - INFO - Epoch(train) [39][360/1879] lr: 2.0000e-02 eta: 19:17:55 time: 0.6495 data_time: 0.0624 memory: 13723 grad_norm: 4.0016 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.4525 loss: 1.4525 2022/08/09 05:35:31 - mmengine - INFO - Epoch(train) [39][380/1879] lr: 2.0000e-02 eta: 19:17:42 time: 0.5806 data_time: 0.0236 memory: 13723 grad_norm: 3.9134 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5317 loss: 1.5317 2022/08/09 05:35:43 - mmengine - INFO - Epoch(train) [39][400/1879] lr: 2.0000e-02 eta: 19:17:30 time: 0.5849 data_time: 0.0262 memory: 13723 grad_norm: 3.8819 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4534 loss: 1.4534 2022/08/09 05:35:54 - mmengine - INFO - Epoch(train) [39][420/1879] lr: 2.0000e-02 eta: 19:17:17 time: 0.5733 data_time: 0.0219 memory: 13723 grad_norm: 3.9120 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5434 loss: 1.5434 2022/08/09 05:36:06 - mmengine - INFO - Epoch(train) [39][440/1879] lr: 2.0000e-02 eta: 19:17:04 time: 0.5764 data_time: 0.0229 memory: 13723 grad_norm: 3.9458 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5339 loss: 1.5339 2022/08/09 05:36:17 - mmengine - INFO - Epoch(train) [39][460/1879] lr: 2.0000e-02 eta: 19:16:51 time: 0.5720 data_time: 0.0261 memory: 13723 grad_norm: 3.9228 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3493 loss: 1.3493 2022/08/09 05:36:29 - mmengine - INFO - Epoch(train) [39][480/1879] lr: 2.0000e-02 eta: 19:16:39 time: 0.5733 data_time: 0.0231 memory: 13723 grad_norm: 3.8618 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4669 loss: 1.4669 2022/08/09 05:36:40 - mmengine - INFO - Epoch(train) [39][500/1879] lr: 2.0000e-02 eta: 19:16:26 time: 0.5799 data_time: 0.0228 memory: 13723 grad_norm: 3.8589 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4682 loss: 1.4682 2022/08/09 05:36:52 - mmengine - INFO - Epoch(train) [39][520/1879] lr: 2.0000e-02 eta: 19:16:14 time: 0.5868 data_time: 0.0255 memory: 13723 grad_norm: 3.8451 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3583 loss: 1.3583 2022/08/09 05:37:05 - mmengine - INFO - Epoch(train) [39][540/1879] lr: 2.0000e-02 eta: 19:16:03 time: 0.6311 data_time: 0.0237 memory: 13723 grad_norm: 3.9709 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3501 loss: 1.3501 2022/08/09 05:37:17 - mmengine - INFO - Epoch(train) [39][560/1879] lr: 2.0000e-02 eta: 19:15:51 time: 0.5909 data_time: 0.0230 memory: 13723 grad_norm: 3.9663 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3088 loss: 1.3088 2022/08/09 05:37:28 - mmengine - INFO - Epoch(train) [39][580/1879] lr: 2.0000e-02 eta: 19:15:38 time: 0.5668 data_time: 0.0234 memory: 13723 grad_norm: 3.8634 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4808 loss: 1.4808 2022/08/09 05:37:39 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 05:37:40 - mmengine - INFO - Epoch(train) [39][600/1879] lr: 2.0000e-02 eta: 19:15:26 time: 0.5916 data_time: 0.0421 memory: 13723 grad_norm: 4.0370 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6943 loss: 1.6943 2022/08/09 05:37:51 - mmengine - INFO - Epoch(train) [39][620/1879] lr: 2.0000e-02 eta: 19:15:13 time: 0.5856 data_time: 0.0289 memory: 13723 grad_norm: 4.0748 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6245 loss: 1.6245 2022/08/09 05:38:03 - mmengine - INFO - Epoch(train) [39][640/1879] lr: 2.0000e-02 eta: 19:15:01 time: 0.5765 data_time: 0.0250 memory: 13723 grad_norm: 3.9710 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3372 loss: 1.3372 2022/08/09 05:38:15 - mmengine - INFO - Epoch(train) [39][660/1879] lr: 2.0000e-02 eta: 19:14:48 time: 0.5737 data_time: 0.0247 memory: 13723 grad_norm: 3.9405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4259 loss: 1.4259 2022/08/09 05:38:26 - mmengine - INFO - Epoch(train) [39][680/1879] lr: 2.0000e-02 eta: 19:14:35 time: 0.5841 data_time: 0.0235 memory: 13723 grad_norm: 3.8658 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4033 loss: 1.4033 2022/08/09 05:38:38 - mmengine - INFO - Epoch(train) [39][700/1879] lr: 2.0000e-02 eta: 19:14:22 time: 0.5692 data_time: 0.0243 memory: 13723 grad_norm: 3.9432 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5095 loss: 1.5095 2022/08/09 05:38:49 - mmengine - INFO - Epoch(train) [39][720/1879] lr: 2.0000e-02 eta: 19:14:10 time: 0.5798 data_time: 0.0248 memory: 13723 grad_norm: 3.9440 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3281 loss: 1.3281 2022/08/09 05:39:01 - mmengine - INFO - Epoch(train) [39][740/1879] lr: 2.0000e-02 eta: 19:13:57 time: 0.5750 data_time: 0.0216 memory: 13723 grad_norm: 3.8852 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5533 loss: 1.5533 2022/08/09 05:39:13 - mmengine - INFO - Epoch(train) [39][760/1879] lr: 2.0000e-02 eta: 19:13:45 time: 0.5961 data_time: 0.0224 memory: 13723 grad_norm: 3.9644 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3841 loss: 1.3841 2022/08/09 05:39:24 - mmengine - INFO - Epoch(train) [39][780/1879] lr: 2.0000e-02 eta: 19:13:32 time: 0.5661 data_time: 0.0213 memory: 13723 grad_norm: 3.8316 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2418 loss: 1.2418 2022/08/09 05:39:36 - mmengine - INFO - Epoch(train) [39][800/1879] lr: 2.0000e-02 eta: 19:13:20 time: 0.5995 data_time: 0.0240 memory: 13723 grad_norm: 3.9593 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4001 loss: 1.4001 2022/08/09 05:39:48 - mmengine - INFO - Epoch(train) [39][820/1879] lr: 2.0000e-02 eta: 19:13:08 time: 0.5852 data_time: 0.0223 memory: 13723 grad_norm: 4.0029 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5925 loss: 1.5925 2022/08/09 05:39:59 - mmengine - INFO - Epoch(train) [39][840/1879] lr: 2.0000e-02 eta: 19:12:55 time: 0.5762 data_time: 0.0233 memory: 13723 grad_norm: 3.9099 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2290 loss: 1.2290 2022/08/09 05:40:11 - mmengine - INFO - Epoch(train) [39][860/1879] lr: 2.0000e-02 eta: 19:12:43 time: 0.5767 data_time: 0.0337 memory: 13723 grad_norm: 4.0380 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4415 loss: 1.4415 2022/08/09 05:40:25 - mmengine - INFO - Epoch(train) [39][880/1879] lr: 2.0000e-02 eta: 19:12:33 time: 0.6862 data_time: 0.0249 memory: 13723 grad_norm: 3.9870 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3036 loss: 1.3036 2022/08/09 05:40:38 - mmengine - INFO - Epoch(train) [39][900/1879] lr: 2.0000e-02 eta: 19:12:24 time: 0.6789 data_time: 0.0221 memory: 13723 grad_norm: 3.7862 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4365 loss: 1.4365 2022/08/09 05:40:51 - mmengine - INFO - Epoch(train) [39][920/1879] lr: 2.0000e-02 eta: 19:12:13 time: 0.6329 data_time: 0.0229 memory: 13723 grad_norm: 3.8158 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.4401 loss: 1.4401 2022/08/09 05:41:02 - mmengine - INFO - Epoch(train) [39][940/1879] lr: 2.0000e-02 eta: 19:12:00 time: 0.5602 data_time: 0.0201 memory: 13723 grad_norm: 3.9241 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3157 loss: 1.3157 2022/08/09 05:41:13 - mmengine - INFO - Epoch(train) [39][960/1879] lr: 2.0000e-02 eta: 19:11:47 time: 0.5702 data_time: 0.0239 memory: 13723 grad_norm: 3.9616 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4048 loss: 1.4048 2022/08/09 05:41:25 - mmengine - INFO - Epoch(train) [39][980/1879] lr: 2.0000e-02 eta: 19:11:35 time: 0.5756 data_time: 0.0226 memory: 13723 grad_norm: 3.9930 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4231 loss: 1.4231 2022/08/09 05:41:37 - mmengine - INFO - Epoch(train) [39][1000/1879] lr: 2.0000e-02 eta: 19:11:22 time: 0.5840 data_time: 0.0248 memory: 13723 grad_norm: 3.9020 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5063 loss: 1.5063 2022/08/09 05:41:48 - mmengine - INFO - Epoch(train) [39][1020/1879] lr: 2.0000e-02 eta: 19:11:09 time: 0.5723 data_time: 0.0220 memory: 13723 grad_norm: 3.9796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4267 loss: 1.4267 2022/08/09 05:41:59 - mmengine - INFO - Epoch(train) [39][1040/1879] lr: 2.0000e-02 eta: 19:10:57 time: 0.5716 data_time: 0.0219 memory: 13723 grad_norm: 3.9997 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2990 loss: 1.2990 2022/08/09 05:42:11 - mmengine - INFO - Epoch(train) [39][1060/1879] lr: 2.0000e-02 eta: 19:10:44 time: 0.5734 data_time: 0.0244 memory: 13723 grad_norm: 4.0157 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3600 loss: 1.3600 2022/08/09 05:42:23 - mmengine - INFO - Epoch(train) [39][1080/1879] lr: 2.0000e-02 eta: 19:10:31 time: 0.5833 data_time: 0.0326 memory: 13723 grad_norm: 3.9402 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4986 loss: 1.4986 2022/08/09 05:42:34 - mmengine - INFO - Epoch(train) [39][1100/1879] lr: 2.0000e-02 eta: 19:10:18 time: 0.5684 data_time: 0.0214 memory: 13723 grad_norm: 3.8289 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2683 loss: 1.2683 2022/08/09 05:42:46 - mmengine - INFO - Epoch(train) [39][1120/1879] lr: 2.0000e-02 eta: 19:10:06 time: 0.5808 data_time: 0.0218 memory: 13723 grad_norm: 4.0452 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2439 loss: 1.2439 2022/08/09 05:42:57 - mmengine - INFO - Epoch(train) [39][1140/1879] lr: 2.0000e-02 eta: 19:09:53 time: 0.5723 data_time: 0.0245 memory: 13723 grad_norm: 4.0276 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2678 loss: 1.2678 2022/08/09 05:43:09 - mmengine - INFO - Epoch(train) [39][1160/1879] lr: 2.0000e-02 eta: 19:09:40 time: 0.5757 data_time: 0.0223 memory: 13723 grad_norm: 3.9785 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4278 loss: 1.4278 2022/08/09 05:43:20 - mmengine - INFO - Epoch(train) [39][1180/1879] lr: 2.0000e-02 eta: 19:09:28 time: 0.5766 data_time: 0.0239 memory: 13723 grad_norm: 4.0627 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4209 loss: 1.4209 2022/08/09 05:43:32 - mmengine - INFO - Epoch(train) [39][1200/1879] lr: 2.0000e-02 eta: 19:09:15 time: 0.5726 data_time: 0.0224 memory: 13723 grad_norm: 3.8322 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2995 loss: 1.2995 2022/08/09 05:43:43 - mmengine - INFO - Epoch(train) [39][1220/1879] lr: 2.0000e-02 eta: 19:09:02 time: 0.5690 data_time: 0.0238 memory: 13723 grad_norm: 3.9218 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4235 loss: 1.4235 2022/08/09 05:43:55 - mmengine - INFO - Epoch(train) [39][1240/1879] lr: 2.0000e-02 eta: 19:08:50 time: 0.5805 data_time: 0.0228 memory: 13723 grad_norm: 3.9014 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.3655 loss: 1.3655 2022/08/09 05:44:06 - mmengine - INFO - Epoch(train) [39][1260/1879] lr: 2.0000e-02 eta: 19:08:37 time: 0.5718 data_time: 0.0239 memory: 13723 grad_norm: 4.0493 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5785 loss: 1.5785 2022/08/09 05:44:18 - mmengine - INFO - Epoch(train) [39][1280/1879] lr: 2.0000e-02 eta: 19:08:24 time: 0.5770 data_time: 0.0228 memory: 13723 grad_norm: 3.8692 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4982 loss: 1.4982 2022/08/09 05:44:29 - mmengine - INFO - Epoch(train) [39][1300/1879] lr: 2.0000e-02 eta: 19:08:12 time: 0.5754 data_time: 0.0232 memory: 13723 grad_norm: 3.9545 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3711 loss: 1.3711 2022/08/09 05:44:41 - mmengine - INFO - Epoch(train) [39][1320/1879] lr: 2.0000e-02 eta: 19:07:59 time: 0.5766 data_time: 0.0230 memory: 13723 grad_norm: 3.8878 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3034 loss: 1.3034 2022/08/09 05:44:52 - mmengine - INFO - Epoch(train) [39][1340/1879] lr: 2.0000e-02 eta: 19:07:46 time: 0.5777 data_time: 0.0227 memory: 13723 grad_norm: 3.9708 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6142 loss: 1.6142 2022/08/09 05:45:04 - mmengine - INFO - Epoch(train) [39][1360/1879] lr: 2.0000e-02 eta: 19:07:34 time: 0.5719 data_time: 0.0253 memory: 13723 grad_norm: 3.8985 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3800 loss: 1.3800 2022/08/09 05:45:21 - mmengine - INFO - Epoch(train) [39][1380/1879] lr: 2.0000e-02 eta: 19:07:29 time: 0.8492 data_time: 0.0208 memory: 13723 grad_norm: 3.9181 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3460 loss: 1.3460 2022/08/09 05:45:32 - mmengine - INFO - Epoch(train) [39][1400/1879] lr: 2.0000e-02 eta: 19:07:17 time: 0.5830 data_time: 0.0235 memory: 13723 grad_norm: 3.9207 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3503 loss: 1.3503 2022/08/09 05:45:44 - mmengine - INFO - Epoch(train) [39][1420/1879] lr: 2.0000e-02 eta: 19:07:04 time: 0.5744 data_time: 0.0221 memory: 13723 grad_norm: 3.9131 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5592 loss: 1.5592 2022/08/09 05:45:55 - mmengine - INFO - Epoch(train) [39][1440/1879] lr: 2.0000e-02 eta: 19:06:51 time: 0.5661 data_time: 0.0231 memory: 13723 grad_norm: 4.0115 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2478 loss: 1.2478 2022/08/09 05:46:07 - mmengine - INFO - Epoch(train) [39][1460/1879] lr: 2.0000e-02 eta: 19:06:40 time: 0.6037 data_time: 0.0233 memory: 13723 grad_norm: 3.9134 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3983 loss: 1.3983 2022/08/09 05:46:19 - mmengine - INFO - Epoch(train) [39][1480/1879] lr: 2.0000e-02 eta: 19:06:27 time: 0.5715 data_time: 0.0225 memory: 13723 grad_norm: 3.9653 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4863 loss: 1.4863 2022/08/09 05:46:30 - mmengine - INFO - Epoch(train) [39][1500/1879] lr: 2.0000e-02 eta: 19:06:14 time: 0.5751 data_time: 0.0241 memory: 13723 grad_norm: 4.0090 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3548 loss: 1.3548 2022/08/09 05:46:42 - mmengine - INFO - Epoch(train) [39][1520/1879] lr: 2.0000e-02 eta: 19:06:01 time: 0.5665 data_time: 0.0228 memory: 13723 grad_norm: 3.9802 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4596 loss: 1.4596 2022/08/09 05:46:53 - mmengine - INFO - Epoch(train) [39][1540/1879] lr: 2.0000e-02 eta: 19:05:48 time: 0.5704 data_time: 0.0225 memory: 13723 grad_norm: 3.9529 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4763 loss: 1.4763 2022/08/09 05:47:05 - mmengine - INFO - Epoch(train) [39][1560/1879] lr: 2.0000e-02 eta: 19:05:36 time: 0.5796 data_time: 0.0237 memory: 13723 grad_norm: 4.0189 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5432 loss: 1.5432 2022/08/09 05:47:16 - mmengine - INFO - Epoch(train) [39][1580/1879] lr: 2.0000e-02 eta: 19:05:23 time: 0.5801 data_time: 0.0227 memory: 13723 grad_norm: 3.7503 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3817 loss: 1.3817 2022/08/09 05:47:27 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 05:47:28 - mmengine - INFO - Epoch(train) [39][1600/1879] lr: 2.0000e-02 eta: 19:05:11 time: 0.5743 data_time: 0.0226 memory: 13723 grad_norm: 3.9032 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4004 loss: 1.4004 2022/08/09 05:47:39 - mmengine - INFO - Epoch(train) [39][1620/1879] lr: 2.0000e-02 eta: 19:04:58 time: 0.5660 data_time: 0.0227 memory: 13723 grad_norm: 3.9278 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4953 loss: 1.4953 2022/08/09 05:47:51 - mmengine - INFO - Epoch(train) [39][1640/1879] lr: 2.0000e-02 eta: 19:04:46 time: 0.6057 data_time: 0.0251 memory: 13723 grad_norm: 3.9703 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4928 loss: 1.4928 2022/08/09 05:48:03 - mmengine - INFO - Epoch(train) [39][1660/1879] lr: 2.0000e-02 eta: 19:04:33 time: 0.5726 data_time: 0.0211 memory: 13723 grad_norm: 3.9919 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4066 loss: 1.4066 2022/08/09 05:48:14 - mmengine - INFO - Epoch(train) [39][1680/1879] lr: 2.0000e-02 eta: 19:04:20 time: 0.5661 data_time: 0.0266 memory: 13723 grad_norm: 3.9197 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3733 loss: 1.3733 2022/08/09 05:48:25 - mmengine - INFO - Epoch(train) [39][1700/1879] lr: 2.0000e-02 eta: 19:04:07 time: 0.5723 data_time: 0.0232 memory: 13723 grad_norm: 3.9487 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5167 loss: 1.5167 2022/08/09 05:48:37 - mmengine - INFO - Epoch(train) [39][1720/1879] lr: 2.0000e-02 eta: 19:03:55 time: 0.5942 data_time: 0.0480 memory: 13723 grad_norm: 4.0895 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4807 loss: 1.4807 2022/08/09 05:48:49 - mmengine - INFO - Epoch(train) [39][1740/1879] lr: 2.0000e-02 eta: 19:03:43 time: 0.5736 data_time: 0.0235 memory: 13723 grad_norm: 3.8993 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4872 loss: 1.4872 2022/08/09 05:49:00 - mmengine - INFO - Epoch(train) [39][1760/1879] lr: 2.0000e-02 eta: 19:03:30 time: 0.5741 data_time: 0.0239 memory: 13723 grad_norm: 3.9525 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2851 loss: 1.2851 2022/08/09 05:49:12 - mmengine - INFO - Epoch(train) [39][1780/1879] lr: 2.0000e-02 eta: 19:03:17 time: 0.5716 data_time: 0.0226 memory: 13723 grad_norm: 3.9795 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4223 loss: 1.4223 2022/08/09 05:49:23 - mmengine - INFO - Epoch(train) [39][1800/1879] lr: 2.0000e-02 eta: 19:03:05 time: 0.5807 data_time: 0.0223 memory: 13723 grad_norm: 4.0095 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5679 loss: 1.5679 2022/08/09 05:49:35 - mmengine - INFO - Epoch(train) [39][1820/1879] lr: 2.0000e-02 eta: 19:02:52 time: 0.5666 data_time: 0.0227 memory: 13723 grad_norm: 3.9086 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3714 loss: 1.3714 2022/08/09 05:49:46 - mmengine - INFO - Epoch(train) [39][1840/1879] lr: 2.0000e-02 eta: 19:02:39 time: 0.5818 data_time: 0.0243 memory: 13723 grad_norm: 4.0265 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4950 loss: 1.4950 2022/08/09 05:49:58 - mmengine - INFO - Epoch(train) [39][1860/1879] lr: 2.0000e-02 eta: 19:02:26 time: 0.5712 data_time: 0.0252 memory: 13723 grad_norm: 4.0723 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5087 loss: 1.5087 2022/08/09 05:50:08 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 05:50:08 - mmengine - INFO - Epoch(train) [39][1879/1879] lr: 2.0000e-02 eta: 19:02:26 time: 0.5395 data_time: 0.0187 memory: 13723 grad_norm: 4.0791 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.4241 loss: 1.4241 2022/08/09 05:50:08 - mmengine - INFO - Saving checkpoint at 39 epochs 2022/08/09 05:50:25 - mmengine - INFO - Epoch(val) [39][20/155] eta: 0:01:42 time: 0.7620 data_time: 0.6222 memory: 1829 2022/08/09 05:50:34 - mmengine - INFO - Epoch(val) [39][40/155] eta: 0:00:54 time: 0.4772 data_time: 0.3376 memory: 1829 2022/08/09 05:50:47 - mmengine - INFO - Epoch(val) [39][60/155] eta: 0:00:57 time: 0.6093 data_time: 0.4668 memory: 1829 2022/08/09 05:50:58 - mmengine - INFO - Epoch(val) [39][80/155] eta: 0:00:43 time: 0.5850 data_time: 0.4446 memory: 1829 2022/08/09 05:51:08 - mmengine - INFO - Epoch(val) [39][100/155] eta: 0:00:25 time: 0.4656 data_time: 0.3266 memory: 1829 2022/08/09 05:51:21 - mmengine - INFO - Epoch(val) [39][120/155] eta: 0:00:22 time: 0.6437 data_time: 0.5048 memory: 1829 2022/08/09 05:51:31 - mmengine - INFO - Epoch(val) [39][140/155] eta: 0:00:08 time: 0.5388 data_time: 0.4012 memory: 1829 2022/08/09 05:51:40 - mmengine - INFO - Epoch(val) [39][155/155] acc/top1: 0.6312 acc/top5: 0.8499 acc/mean1: 0.6312 2022/08/09 05:51:57 - mmengine - INFO - Epoch(train) [40][20/1879] lr: 2.0000e-02 eta: 19:01:54 time: 0.8685 data_time: 0.2744 memory: 13723 grad_norm: 3.9007 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2876 loss: 1.2876 2022/08/09 05:52:09 - mmengine - INFO - Epoch(train) [40][40/1879] lr: 2.0000e-02 eta: 19:01:41 time: 0.5764 data_time: 0.0209 memory: 13723 grad_norm: 3.9342 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3697 loss: 1.3697 2022/08/09 05:52:21 - mmengine - INFO - Epoch(train) [40][60/1879] lr: 2.0000e-02 eta: 19:01:29 time: 0.6069 data_time: 0.0228 memory: 13723 grad_norm: 3.8704 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2045 loss: 1.2045 2022/08/09 05:52:32 - mmengine - INFO - Epoch(train) [40][80/1879] lr: 2.0000e-02 eta: 19:01:16 time: 0.5659 data_time: 0.0224 memory: 13723 grad_norm: 3.7929 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2308 loss: 1.2308 2022/08/09 05:52:44 - mmengine - INFO - Epoch(train) [40][100/1879] lr: 2.0000e-02 eta: 19:01:04 time: 0.5734 data_time: 0.0233 memory: 13723 grad_norm: 3.8922 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3704 loss: 1.3704 2022/08/09 05:52:55 - mmengine - INFO - Epoch(train) [40][120/1879] lr: 2.0000e-02 eta: 19:00:51 time: 0.5700 data_time: 0.0231 memory: 13723 grad_norm: 3.9449 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3769 loss: 1.3769 2022/08/09 05:53:07 - mmengine - INFO - Epoch(train) [40][140/1879] lr: 2.0000e-02 eta: 19:00:38 time: 0.5666 data_time: 0.0238 memory: 13723 grad_norm: 4.0791 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.3468 loss: 1.3468 2022/08/09 05:53:18 - mmengine - INFO - Epoch(train) [40][160/1879] lr: 2.0000e-02 eta: 19:00:25 time: 0.5744 data_time: 0.0257 memory: 13723 grad_norm: 3.9619 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2590 loss: 1.2590 2022/08/09 05:53:29 - mmengine - INFO - Epoch(train) [40][180/1879] lr: 2.0000e-02 eta: 19:00:13 time: 0.5707 data_time: 0.0218 memory: 13723 grad_norm: 3.9873 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5106 loss: 1.5106 2022/08/09 05:53:41 - mmengine - INFO - Epoch(train) [40][200/1879] lr: 2.0000e-02 eta: 19:00:00 time: 0.5753 data_time: 0.0261 memory: 13723 grad_norm: 3.9433 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4062 loss: 1.4062 2022/08/09 05:53:52 - mmengine - INFO - Epoch(train) [40][220/1879] lr: 2.0000e-02 eta: 18:59:47 time: 0.5659 data_time: 0.0240 memory: 13723 grad_norm: 3.8062 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3762 loss: 1.3762 2022/08/09 05:54:04 - mmengine - INFO - Epoch(train) [40][240/1879] lr: 2.0000e-02 eta: 18:59:34 time: 0.5728 data_time: 0.0223 memory: 13723 grad_norm: 3.8269 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2246 loss: 1.2246 2022/08/09 05:54:15 - mmengine - INFO - Epoch(train) [40][260/1879] lr: 2.0000e-02 eta: 18:59:21 time: 0.5692 data_time: 0.0225 memory: 13723 grad_norm: 3.9059 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1571 loss: 1.1571 2022/08/09 05:54:27 - mmengine - INFO - Epoch(train) [40][280/1879] lr: 2.0000e-02 eta: 18:59:09 time: 0.5718 data_time: 0.0251 memory: 13723 grad_norm: 3.9492 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3961 loss: 1.3961 2022/08/09 05:54:38 - mmengine - INFO - Epoch(train) [40][300/1879] lr: 2.0000e-02 eta: 18:58:56 time: 0.5715 data_time: 0.0244 memory: 13723 grad_norm: 4.1401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5112 loss: 1.5112 2022/08/09 05:54:49 - mmengine - INFO - Epoch(train) [40][320/1879] lr: 2.0000e-02 eta: 18:58:43 time: 0.5680 data_time: 0.0241 memory: 13723 grad_norm: 3.8683 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3680 loss: 1.3680 2022/08/09 05:55:01 - mmengine - INFO - Epoch(train) [40][340/1879] lr: 2.0000e-02 eta: 18:58:30 time: 0.5702 data_time: 0.0240 memory: 13723 grad_norm: 3.9397 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4638 loss: 1.4638 2022/08/09 05:55:12 - mmengine - INFO - Epoch(train) [40][360/1879] lr: 2.0000e-02 eta: 18:58:18 time: 0.5847 data_time: 0.0213 memory: 13723 grad_norm: 3.9114 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4580 loss: 1.4580 2022/08/09 05:55:24 - mmengine - INFO - Epoch(train) [40][380/1879] lr: 2.0000e-02 eta: 18:58:05 time: 0.5801 data_time: 0.0238 memory: 13723 grad_norm: 3.8787 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2654 loss: 1.2654 2022/08/09 05:55:36 - mmengine - INFO - Epoch(train) [40][400/1879] lr: 2.0000e-02 eta: 18:57:53 time: 0.5749 data_time: 0.0231 memory: 13723 grad_norm: 3.8379 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4368 loss: 1.4368 2022/08/09 05:55:47 - mmengine - INFO - Epoch(train) [40][420/1879] lr: 2.0000e-02 eta: 18:57:40 time: 0.5722 data_time: 0.0227 memory: 13723 grad_norm: 3.8988 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3421 loss: 1.3421 2022/08/09 05:55:58 - mmengine - INFO - Epoch(train) [40][440/1879] lr: 2.0000e-02 eta: 18:57:27 time: 0.5700 data_time: 0.0230 memory: 13723 grad_norm: 3.9039 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2972 loss: 1.2972 2022/08/09 05:56:10 - mmengine - INFO - Epoch(train) [40][460/1879] lr: 2.0000e-02 eta: 18:57:14 time: 0.5646 data_time: 0.0238 memory: 13723 grad_norm: 3.9228 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4032 loss: 1.4032 2022/08/09 05:56:21 - mmengine - INFO - Epoch(train) [40][480/1879] lr: 2.0000e-02 eta: 18:57:01 time: 0.5677 data_time: 0.0247 memory: 13723 grad_norm: 4.0174 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5925 loss: 1.5925 2022/08/09 05:56:32 - mmengine - INFO - Epoch(train) [40][500/1879] lr: 2.0000e-02 eta: 18:56:48 time: 0.5650 data_time: 0.0218 memory: 13723 grad_norm: 3.9477 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4936 loss: 1.4936 2022/08/09 05:56:44 - mmengine - INFO - Epoch(train) [40][520/1879] lr: 2.0000e-02 eta: 18:56:35 time: 0.5613 data_time: 0.0238 memory: 13723 grad_norm: 3.8969 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4282 loss: 1.4282 2022/08/09 05:56:55 - mmengine - INFO - Epoch(train) [40][540/1879] lr: 2.0000e-02 eta: 18:56:22 time: 0.5753 data_time: 0.0239 memory: 13723 grad_norm: 3.9957 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5360 loss: 1.5360 2022/08/09 05:57:07 - mmengine - INFO - Epoch(train) [40][560/1879] lr: 2.0000e-02 eta: 18:56:10 time: 0.5723 data_time: 0.0252 memory: 13723 grad_norm: 3.8112 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3118 loss: 1.3118 2022/08/09 05:57:18 - mmengine - INFO - Epoch(train) [40][580/1879] lr: 2.0000e-02 eta: 18:55:57 time: 0.5708 data_time: 0.0296 memory: 13723 grad_norm: 3.9729 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5642 loss: 1.5642 2022/08/09 05:57:29 - mmengine - INFO - Epoch(train) [40][600/1879] lr: 2.0000e-02 eta: 18:55:44 time: 0.5648 data_time: 0.0236 memory: 13723 grad_norm: 3.9235 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.5386 loss: 1.5386 2022/08/09 05:57:41 - mmengine - INFO - Epoch(train) [40][620/1879] lr: 2.0000e-02 eta: 18:55:31 time: 0.5669 data_time: 0.0251 memory: 13723 grad_norm: 3.8921 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4122 loss: 1.4122 2022/08/09 05:57:52 - mmengine - INFO - Epoch(train) [40][640/1879] lr: 2.0000e-02 eta: 18:55:19 time: 0.5814 data_time: 0.0243 memory: 13723 grad_norm: 3.8406 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0523 loss: 1.0523 2022/08/09 05:58:04 - mmengine - INFO - Epoch(train) [40][660/1879] lr: 2.0000e-02 eta: 18:55:06 time: 0.5656 data_time: 0.0237 memory: 13723 grad_norm: 3.8686 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2527 loss: 1.2527 2022/08/09 05:58:15 - mmengine - INFO - Epoch(train) [40][680/1879] lr: 2.0000e-02 eta: 18:54:53 time: 0.5617 data_time: 0.0241 memory: 13723 grad_norm: 3.8563 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3529 loss: 1.3529 2022/08/09 05:58:26 - mmengine - INFO - Epoch(train) [40][700/1879] lr: 2.0000e-02 eta: 18:54:40 time: 0.5666 data_time: 0.0242 memory: 13723 grad_norm: 3.8531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3652 loss: 1.3652 2022/08/09 05:58:37 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 05:58:38 - mmengine - INFO - Epoch(train) [40][720/1879] lr: 2.0000e-02 eta: 18:54:27 time: 0.5647 data_time: 0.0268 memory: 13723 grad_norm: 3.9588 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3918 loss: 1.3918 2022/08/09 05:58:49 - mmengine - INFO - Epoch(train) [40][740/1879] lr: 2.0000e-02 eta: 18:54:14 time: 0.5685 data_time: 0.0246 memory: 13723 grad_norm: 3.9614 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5997 loss: 1.5997 2022/08/09 05:59:00 - mmengine - INFO - Epoch(train) [40][760/1879] lr: 2.0000e-02 eta: 18:54:01 time: 0.5699 data_time: 0.0252 memory: 13723 grad_norm: 3.8739 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4187 loss: 1.4187 2022/08/09 05:59:12 - mmengine - INFO - Epoch(train) [40][780/1879] lr: 2.0000e-02 eta: 18:53:48 time: 0.5611 data_time: 0.0246 memory: 13723 grad_norm: 3.9630 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2459 loss: 1.2459 2022/08/09 05:59:23 - mmengine - INFO - Epoch(train) [40][800/1879] lr: 2.0000e-02 eta: 18:53:35 time: 0.5670 data_time: 0.0233 memory: 13723 grad_norm: 3.9713 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4529 loss: 1.4529 2022/08/09 05:59:34 - mmengine - INFO - Epoch(train) [40][820/1879] lr: 2.0000e-02 eta: 18:53:22 time: 0.5641 data_time: 0.0231 memory: 13723 grad_norm: 3.9702 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2990 loss: 1.2990 2022/08/09 05:59:46 - mmengine - INFO - Epoch(train) [40][840/1879] lr: 2.0000e-02 eta: 18:53:09 time: 0.5660 data_time: 0.0256 memory: 13723 grad_norm: 3.9717 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6625 loss: 1.6625 2022/08/09 05:59:57 - mmengine - INFO - Epoch(train) [40][860/1879] lr: 2.0000e-02 eta: 18:52:56 time: 0.5677 data_time: 0.0247 memory: 13723 grad_norm: 3.8788 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4380 loss: 1.4380 2022/08/09 06:00:10 - mmengine - INFO - Epoch(train) [40][880/1879] lr: 2.0000e-02 eta: 18:52:46 time: 0.6621 data_time: 0.0270 memory: 13723 grad_norm: 3.9045 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3787 loss: 1.3787 2022/08/09 06:00:23 - mmengine - INFO - Epoch(train) [40][900/1879] lr: 2.0000e-02 eta: 18:52:36 time: 0.6335 data_time: 0.0345 memory: 13723 grad_norm: 3.9907 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4409 loss: 1.4409 2022/08/09 06:00:36 - mmengine - INFO - Epoch(train) [40][920/1879] lr: 2.0000e-02 eta: 18:52:25 time: 0.6327 data_time: 0.0260 memory: 13723 grad_norm: 3.9562 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5333 loss: 1.5333 2022/08/09 06:00:48 - mmengine - INFO - Epoch(train) [40][940/1879] lr: 2.0000e-02 eta: 18:52:13 time: 0.6027 data_time: 0.0266 memory: 13723 grad_norm: 3.8507 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4611 loss: 1.4611 2022/08/09 06:00:59 - mmengine - INFO - Epoch(train) [40][960/1879] lr: 2.0000e-02 eta: 18:52:01 time: 0.5847 data_time: 0.0240 memory: 13723 grad_norm: 3.8948 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5768 loss: 1.5768 2022/08/09 06:01:11 - mmengine - INFO - Epoch(train) [40][980/1879] lr: 2.0000e-02 eta: 18:51:48 time: 0.5657 data_time: 0.0239 memory: 13723 grad_norm: 4.0320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4676 loss: 1.4676 2022/08/09 06:01:22 - mmengine - INFO - Epoch(train) [40][1000/1879] lr: 2.0000e-02 eta: 18:51:35 time: 0.5635 data_time: 0.0248 memory: 13723 grad_norm: 3.9614 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.6145 loss: 1.6145 2022/08/09 06:01:33 - mmengine - INFO - Epoch(train) [40][1020/1879] lr: 2.0000e-02 eta: 18:51:22 time: 0.5606 data_time: 0.0248 memory: 13723 grad_norm: 3.8959 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5052 loss: 1.5052 2022/08/09 06:01:45 - mmengine - INFO - Epoch(train) [40][1040/1879] lr: 2.0000e-02 eta: 18:51:09 time: 0.5669 data_time: 0.0267 memory: 13723 grad_norm: 4.0304 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3782 loss: 1.3782 2022/08/09 06:01:56 - mmengine - INFO - Epoch(train) [40][1060/1879] lr: 2.0000e-02 eta: 18:50:56 time: 0.5672 data_time: 0.0231 memory: 13723 grad_norm: 4.1038 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5512 loss: 1.5512 2022/08/09 06:02:07 - mmengine - INFO - Epoch(train) [40][1080/1879] lr: 2.0000e-02 eta: 18:50:43 time: 0.5666 data_time: 0.0256 memory: 13723 grad_norm: 3.9818 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3685 loss: 1.3685 2022/08/09 06:02:19 - mmengine - INFO - Epoch(train) [40][1100/1879] lr: 2.0000e-02 eta: 18:50:30 time: 0.5648 data_time: 0.0278 memory: 13723 grad_norm: 3.9104 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5247 loss: 1.5247 2022/08/09 06:02:30 - mmengine - INFO - Epoch(train) [40][1120/1879] lr: 2.0000e-02 eta: 18:50:17 time: 0.5679 data_time: 0.0254 memory: 13723 grad_norm: 3.8976 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5912 loss: 1.5912 2022/08/09 06:02:41 - mmengine - INFO - Epoch(train) [40][1140/1879] lr: 2.0000e-02 eta: 18:50:04 time: 0.5625 data_time: 0.0241 memory: 13723 grad_norm: 3.8598 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4006 loss: 1.4006 2022/08/09 06:02:52 - mmengine - INFO - Epoch(train) [40][1160/1879] lr: 2.0000e-02 eta: 18:49:51 time: 0.5630 data_time: 0.0249 memory: 13723 grad_norm: 3.9832 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5146 loss: 1.5146 2022/08/09 06:03:04 - mmengine - INFO - Epoch(train) [40][1180/1879] lr: 2.0000e-02 eta: 18:49:38 time: 0.5582 data_time: 0.0235 memory: 13723 grad_norm: 3.9726 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3394 loss: 1.3394 2022/08/09 06:03:15 - mmengine - INFO - Epoch(train) [40][1200/1879] lr: 2.0000e-02 eta: 18:49:25 time: 0.5657 data_time: 0.0239 memory: 13723 grad_norm: 3.9701 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2148 loss: 1.2148 2022/08/09 06:03:26 - mmengine - INFO - Epoch(train) [40][1220/1879] lr: 2.0000e-02 eta: 18:49:12 time: 0.5597 data_time: 0.0227 memory: 13723 grad_norm: 3.9239 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3961 loss: 1.3961 2022/08/09 06:03:37 - mmengine - INFO - Epoch(train) [40][1240/1879] lr: 2.0000e-02 eta: 18:48:59 time: 0.5636 data_time: 0.0243 memory: 13723 grad_norm: 3.9049 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4568 loss: 1.4568 2022/08/09 06:03:49 - mmengine - INFO - Epoch(train) [40][1260/1879] lr: 2.0000e-02 eta: 18:48:46 time: 0.5633 data_time: 0.0234 memory: 13723 grad_norm: 3.8411 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5787 loss: 1.5787 2022/08/09 06:04:00 - mmengine - INFO - Epoch(train) [40][1280/1879] lr: 2.0000e-02 eta: 18:48:33 time: 0.5659 data_time: 0.0242 memory: 13723 grad_norm: 3.9355 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3842 loss: 1.3842 2022/08/09 06:04:11 - mmengine - INFO - Epoch(train) [40][1300/1879] lr: 2.0000e-02 eta: 18:48:20 time: 0.5636 data_time: 0.0239 memory: 13723 grad_norm: 3.8687 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3617 loss: 1.3617 2022/08/09 06:04:23 - mmengine - INFO - Epoch(train) [40][1320/1879] lr: 2.0000e-02 eta: 18:48:08 time: 0.5795 data_time: 0.0218 memory: 13723 grad_norm: 3.8689 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4721 loss: 1.4721 2022/08/09 06:04:34 - mmengine - INFO - Epoch(train) [40][1340/1879] lr: 2.0000e-02 eta: 18:47:54 time: 0.5606 data_time: 0.0247 memory: 13723 grad_norm: 3.9278 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5112 loss: 1.5112 2022/08/09 06:04:45 - mmengine - INFO - Epoch(train) [40][1360/1879] lr: 2.0000e-02 eta: 18:47:41 time: 0.5615 data_time: 0.0219 memory: 13723 grad_norm: 3.8113 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2969 loss: 1.2969 2022/08/09 06:04:57 - mmengine - INFO - Epoch(train) [40][1380/1879] lr: 2.0000e-02 eta: 18:47:29 time: 0.5654 data_time: 0.0247 memory: 13723 grad_norm: 3.9597 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.3844 loss: 1.3844 2022/08/09 06:05:08 - mmengine - INFO - Epoch(train) [40][1400/1879] lr: 2.0000e-02 eta: 18:47:16 time: 0.5780 data_time: 0.0222 memory: 13723 grad_norm: 3.9632 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3692 loss: 1.3692 2022/08/09 06:05:20 - mmengine - INFO - Epoch(train) [40][1420/1879] lr: 2.0000e-02 eta: 18:47:03 time: 0.5777 data_time: 0.0279 memory: 13723 grad_norm: 3.9609 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5341 loss: 1.5341 2022/08/09 06:05:31 - mmengine - INFO - Epoch(train) [40][1440/1879] lr: 2.0000e-02 eta: 18:46:51 time: 0.5700 data_time: 0.0244 memory: 13723 grad_norm: 3.9663 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3946 loss: 1.3946 2022/08/09 06:05:42 - mmengine - INFO - Epoch(train) [40][1460/1879] lr: 2.0000e-02 eta: 18:46:38 time: 0.5607 data_time: 0.0246 memory: 13723 grad_norm: 3.9197 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.3477 loss: 1.3477 2022/08/09 06:05:54 - mmengine - INFO - Epoch(train) [40][1480/1879] lr: 2.0000e-02 eta: 18:46:25 time: 0.5651 data_time: 0.0256 memory: 13723 grad_norm: 3.9713 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.3316 loss: 1.3316 2022/08/09 06:06:05 - mmengine - INFO - Epoch(train) [40][1500/1879] lr: 2.0000e-02 eta: 18:46:12 time: 0.5583 data_time: 0.0239 memory: 13723 grad_norm: 4.0251 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5092 loss: 1.5092 2022/08/09 06:06:16 - mmengine - INFO - Epoch(train) [40][1520/1879] lr: 2.0000e-02 eta: 18:45:58 time: 0.5608 data_time: 0.0259 memory: 13723 grad_norm: 4.0862 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4650 loss: 1.4650 2022/08/09 06:06:27 - mmengine - INFO - Epoch(train) [40][1540/1879] lr: 2.0000e-02 eta: 18:45:45 time: 0.5604 data_time: 0.0236 memory: 13723 grad_norm: 3.9831 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4717 loss: 1.4717 2022/08/09 06:06:39 - mmengine - INFO - Epoch(train) [40][1560/1879] lr: 2.0000e-02 eta: 18:45:32 time: 0.5638 data_time: 0.0241 memory: 13723 grad_norm: 4.0375 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3497 loss: 1.3497 2022/08/09 06:06:50 - mmengine - INFO - Epoch(train) [40][1580/1879] lr: 2.0000e-02 eta: 18:45:20 time: 0.5655 data_time: 0.0246 memory: 13723 grad_norm: 3.9214 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5269 loss: 1.5269 2022/08/09 06:07:01 - mmengine - INFO - Epoch(train) [40][1600/1879] lr: 2.0000e-02 eta: 18:45:06 time: 0.5583 data_time: 0.0231 memory: 13723 grad_norm: 3.9145 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4919 loss: 1.4919 2022/08/09 06:07:13 - mmengine - INFO - Epoch(train) [40][1620/1879] lr: 2.0000e-02 eta: 18:44:54 time: 0.5692 data_time: 0.0260 memory: 13723 grad_norm: 3.9501 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2698 loss: 1.2698 2022/08/09 06:07:24 - mmengine - INFO - Epoch(train) [40][1640/1879] lr: 2.0000e-02 eta: 18:44:41 time: 0.5595 data_time: 0.0238 memory: 13723 grad_norm: 3.9219 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5138 loss: 1.5138 2022/08/09 06:07:35 - mmengine - INFO - Epoch(train) [40][1660/1879] lr: 2.0000e-02 eta: 18:44:28 time: 0.5631 data_time: 0.0232 memory: 13723 grad_norm: 3.8920 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4948 loss: 1.4948 2022/08/09 06:07:46 - mmengine - INFO - Epoch(train) [40][1680/1879] lr: 2.0000e-02 eta: 18:44:15 time: 0.5676 data_time: 0.0275 memory: 13723 grad_norm: 3.9899 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5939 loss: 1.5939 2022/08/09 06:07:58 - mmengine - INFO - Epoch(train) [40][1700/1879] lr: 2.0000e-02 eta: 18:44:02 time: 0.5840 data_time: 0.0274 memory: 13723 grad_norm: 4.0110 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3786 loss: 1.3786 2022/08/09 06:08:09 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 06:08:09 - mmengine - INFO - Epoch(train) [40][1720/1879] lr: 2.0000e-02 eta: 18:43:49 time: 0.5644 data_time: 0.0231 memory: 13723 grad_norm: 3.9321 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.3863 loss: 1.3863 2022/08/09 06:08:21 - mmengine - INFO - Epoch(train) [40][1740/1879] lr: 2.0000e-02 eta: 18:43:36 time: 0.5633 data_time: 0.0242 memory: 13723 grad_norm: 4.0789 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6369 loss: 1.6369 2022/08/09 06:08:32 - mmengine - INFO - Epoch(train) [40][1760/1879] lr: 2.0000e-02 eta: 18:43:23 time: 0.5603 data_time: 0.0230 memory: 13723 grad_norm: 3.9779 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4472 loss: 1.4472 2022/08/09 06:08:43 - mmengine - INFO - Epoch(train) [40][1780/1879] lr: 2.0000e-02 eta: 18:43:11 time: 0.5664 data_time: 0.0230 memory: 13723 grad_norm: 3.9358 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4089 loss: 1.4089 2022/08/09 06:08:54 - mmengine - INFO - Epoch(train) [40][1800/1879] lr: 2.0000e-02 eta: 18:42:58 time: 0.5631 data_time: 0.0249 memory: 13723 grad_norm: 3.9723 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3558 loss: 1.3558 2022/08/09 06:09:06 - mmengine - INFO - Epoch(train) [40][1820/1879] lr: 2.0000e-02 eta: 18:42:45 time: 0.5663 data_time: 0.0243 memory: 13723 grad_norm: 4.0124 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5037 loss: 1.5037 2022/08/09 06:09:17 - mmengine - INFO - Epoch(train) [40][1840/1879] lr: 2.0000e-02 eta: 18:42:32 time: 0.5627 data_time: 0.0250 memory: 13723 grad_norm: 3.8504 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3862 loss: 1.3862 2022/08/09 06:09:29 - mmengine - INFO - Epoch(train) [40][1860/1879] lr: 2.0000e-02 eta: 18:42:19 time: 0.5706 data_time: 0.0229 memory: 13723 grad_norm: 3.9939 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4598 loss: 1.4598 2022/08/09 06:09:39 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 06:09:39 - mmengine - INFO - Epoch(train) [40][1879/1879] lr: 2.0000e-02 eta: 18:42:19 time: 0.5553 data_time: 0.0198 memory: 13723 grad_norm: 4.0737 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2724 loss: 1.2724 2022/08/09 06:09:52 - mmengine - INFO - Epoch(val) [40][20/155] eta: 0:01:29 time: 0.6613 data_time: 0.5209 memory: 1829 2022/08/09 06:10:01 - mmengine - INFO - Epoch(val) [40][40/155] eta: 0:00:52 time: 0.4548 data_time: 0.3155 memory: 1829 2022/08/09 06:10:19 - mmengine - INFO - Epoch(val) [40][60/155] eta: 0:01:20 time: 0.8502 data_time: 0.7015 memory: 1829 2022/08/09 06:10:29 - mmengine - INFO - Epoch(val) [40][80/155] eta: 0:00:38 time: 0.5146 data_time: 0.3735 memory: 1829 2022/08/09 06:10:41 - mmengine - INFO - Epoch(val) [40][100/155] eta: 0:00:32 time: 0.5943 data_time: 0.4530 memory: 1829 2022/08/09 06:10:50 - mmengine - INFO - Epoch(val) [40][120/155] eta: 0:00:15 time: 0.4478 data_time: 0.3079 memory: 1829 2022/08/09 06:11:03 - mmengine - INFO - Epoch(val) [40][140/155] eta: 0:00:09 time: 0.6654 data_time: 0.5214 memory: 1829 2022/08/09 06:11:12 - mmengine - INFO - Epoch(val) [40][155/155] acc/top1: 0.6205 acc/top5: 0.8440 acc/mean1: 0.6203 2022/08/09 06:11:28 - mmengine - INFO - Epoch(train) [41][20/1879] lr: 2.0000e-02 eta: 18:41:45 time: 0.8047 data_time: 0.2239 memory: 13723 grad_norm: 3.9448 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4084 loss: 1.4084 2022/08/09 06:11:40 - mmengine - INFO - Epoch(train) [41][40/1879] lr: 2.0000e-02 eta: 18:41:33 time: 0.5972 data_time: 0.0476 memory: 13723 grad_norm: 3.9524 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.3199 loss: 1.3199 2022/08/09 06:11:52 - mmengine - INFO - Epoch(train) [41][60/1879] lr: 2.0000e-02 eta: 18:41:21 time: 0.5966 data_time: 0.0459 memory: 13723 grad_norm: 3.8087 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2079 loss: 1.2079 2022/08/09 06:12:03 - mmengine - INFO - Epoch(train) [41][80/1879] lr: 2.0000e-02 eta: 18:41:08 time: 0.5727 data_time: 0.0237 memory: 13723 grad_norm: 3.8938 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2628 loss: 1.2628 2022/08/09 06:12:14 - mmengine - INFO - Epoch(train) [41][100/1879] lr: 2.0000e-02 eta: 18:40:55 time: 0.5567 data_time: 0.0220 memory: 13723 grad_norm: 3.9402 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4935 loss: 1.4935 2022/08/09 06:12:26 - mmengine - INFO - Epoch(train) [41][120/1879] lr: 2.0000e-02 eta: 18:40:43 time: 0.5863 data_time: 0.0524 memory: 13723 grad_norm: 3.9499 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3537 loss: 1.3537 2022/08/09 06:12:37 - mmengine - INFO - Epoch(train) [41][140/1879] lr: 2.0000e-02 eta: 18:40:30 time: 0.5590 data_time: 0.0239 memory: 13723 grad_norm: 4.0149 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.3016 loss: 1.3016 2022/08/09 06:12:49 - mmengine - INFO - Epoch(train) [41][160/1879] lr: 2.0000e-02 eta: 18:40:18 time: 0.5840 data_time: 0.0348 memory: 13723 grad_norm: 3.9019 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4017 loss: 1.4017 2022/08/09 06:13:01 - mmengine - INFO - Epoch(train) [41][180/1879] lr: 2.0000e-02 eta: 18:40:05 time: 0.5859 data_time: 0.0238 memory: 13723 grad_norm: 3.9587 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3379 loss: 1.3379 2022/08/09 06:13:12 - mmengine - INFO - Epoch(train) [41][200/1879] lr: 2.0000e-02 eta: 18:39:52 time: 0.5586 data_time: 0.0220 memory: 13723 grad_norm: 3.9240 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2313 loss: 1.2313 2022/08/09 06:13:23 - mmengine - INFO - Epoch(train) [41][220/1879] lr: 2.0000e-02 eta: 18:39:39 time: 0.5622 data_time: 0.0246 memory: 13723 grad_norm: 3.9939 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5618 loss: 1.5618 2022/08/09 06:13:34 - mmengine - INFO - Epoch(train) [41][240/1879] lr: 2.0000e-02 eta: 18:39:26 time: 0.5596 data_time: 0.0228 memory: 13723 grad_norm: 3.8486 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2449 loss: 1.2449 2022/08/09 06:13:46 - mmengine - INFO - Epoch(train) [41][260/1879] lr: 2.0000e-02 eta: 18:39:13 time: 0.5689 data_time: 0.0262 memory: 13723 grad_norm: 4.0098 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.5529 loss: 1.5529 2022/08/09 06:13:57 - mmengine - INFO - Epoch(train) [41][280/1879] lr: 2.0000e-02 eta: 18:39:00 time: 0.5613 data_time: 0.0241 memory: 13723 grad_norm: 4.0736 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4759 loss: 1.4759 2022/08/09 06:14:08 - mmengine - INFO - Epoch(train) [41][300/1879] lr: 2.0000e-02 eta: 18:38:47 time: 0.5651 data_time: 0.0248 memory: 13723 grad_norm: 3.9265 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5061 loss: 1.5061 2022/08/09 06:14:19 - mmengine - INFO - Epoch(train) [41][320/1879] lr: 2.0000e-02 eta: 18:38:34 time: 0.5621 data_time: 0.0239 memory: 13723 grad_norm: 4.0049 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6870 loss: 1.6870 2022/08/09 06:14:31 - mmengine - INFO - Epoch(train) [41][340/1879] lr: 2.0000e-02 eta: 18:38:22 time: 0.5649 data_time: 0.0243 memory: 13723 grad_norm: 3.9889 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3053 loss: 1.3053 2022/08/09 06:14:42 - mmengine - INFO - Epoch(train) [41][360/1879] lr: 2.0000e-02 eta: 18:38:09 time: 0.5708 data_time: 0.0268 memory: 13723 grad_norm: 4.0224 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4513 loss: 1.4513 2022/08/09 06:14:54 - mmengine - INFO - Epoch(train) [41][380/1879] lr: 2.0000e-02 eta: 18:37:56 time: 0.5665 data_time: 0.0220 memory: 13723 grad_norm: 4.0575 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3453 loss: 1.3453 2022/08/09 06:15:05 - mmengine - INFO - Epoch(train) [41][400/1879] lr: 2.0000e-02 eta: 18:37:43 time: 0.5647 data_time: 0.0235 memory: 13723 grad_norm: 3.8463 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4371 loss: 1.4371 2022/08/09 06:15:16 - mmengine - INFO - Epoch(train) [41][420/1879] lr: 2.0000e-02 eta: 18:37:31 time: 0.5756 data_time: 0.0236 memory: 13723 grad_norm: 3.8637 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.4338 loss: 1.4338 2022/08/09 06:15:28 - mmengine - INFO - Epoch(train) [41][440/1879] lr: 2.0000e-02 eta: 18:37:18 time: 0.5695 data_time: 0.0273 memory: 13723 grad_norm: 3.8990 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4613 loss: 1.4613 2022/08/09 06:15:39 - mmengine - INFO - Epoch(train) [41][460/1879] lr: 2.0000e-02 eta: 18:37:05 time: 0.5657 data_time: 0.0252 memory: 13723 grad_norm: 4.0205 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4593 loss: 1.4593 2022/08/09 06:15:50 - mmengine - INFO - Epoch(train) [41][480/1879] lr: 2.0000e-02 eta: 18:36:52 time: 0.5620 data_time: 0.0261 memory: 13723 grad_norm: 3.9163 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4198 loss: 1.4198 2022/08/09 06:16:02 - mmengine - INFO - Epoch(train) [41][500/1879] lr: 2.0000e-02 eta: 18:36:39 time: 0.5638 data_time: 0.0243 memory: 13723 grad_norm: 3.9631 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2128 loss: 1.2128 2022/08/09 06:16:13 - mmengine - INFO - Epoch(train) [41][520/1879] lr: 2.0000e-02 eta: 18:36:26 time: 0.5687 data_time: 0.0230 memory: 13723 grad_norm: 4.0005 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4290 loss: 1.4290 2022/08/09 06:16:24 - mmengine - INFO - Epoch(train) [41][540/1879] lr: 2.0000e-02 eta: 18:36:13 time: 0.5618 data_time: 0.0250 memory: 13723 grad_norm: 3.9666 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3397 loss: 1.3397 2022/08/09 06:16:36 - mmengine - INFO - Epoch(train) [41][560/1879] lr: 2.0000e-02 eta: 18:36:00 time: 0.5628 data_time: 0.0252 memory: 13723 grad_norm: 3.9050 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3755 loss: 1.3755 2022/08/09 06:16:47 - mmengine - INFO - Epoch(train) [41][580/1879] lr: 2.0000e-02 eta: 18:35:47 time: 0.5616 data_time: 0.0238 memory: 13723 grad_norm: 3.8738 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3307 loss: 1.3307 2022/08/09 06:16:58 - mmengine - INFO - Epoch(train) [41][600/1879] lr: 2.0000e-02 eta: 18:35:34 time: 0.5633 data_time: 0.0275 memory: 13723 grad_norm: 3.9827 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1968 loss: 1.1968 2022/08/09 06:17:10 - mmengine - INFO - Epoch(train) [41][620/1879] lr: 2.0000e-02 eta: 18:35:22 time: 0.5805 data_time: 0.0423 memory: 13723 grad_norm: 4.0539 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3270 loss: 1.3270 2022/08/09 06:17:21 - mmengine - INFO - Epoch(train) [41][640/1879] lr: 2.0000e-02 eta: 18:35:09 time: 0.5549 data_time: 0.0234 memory: 13723 grad_norm: 4.1209 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4755 loss: 1.4755 2022/08/09 06:17:32 - mmengine - INFO - Epoch(train) [41][660/1879] lr: 2.0000e-02 eta: 18:34:56 time: 0.5840 data_time: 0.0221 memory: 13723 grad_norm: 3.9999 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4645 loss: 1.4645 2022/08/09 06:17:44 - mmengine - INFO - Epoch(train) [41][680/1879] lr: 2.0000e-02 eta: 18:34:43 time: 0.5623 data_time: 0.0236 memory: 13723 grad_norm: 4.0599 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.2907 loss: 1.2907 2022/08/09 06:17:56 - mmengine - INFO - Epoch(train) [41][700/1879] lr: 2.0000e-02 eta: 18:34:32 time: 0.5965 data_time: 0.0243 memory: 13723 grad_norm: 4.0387 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3535 loss: 1.3535 2022/08/09 06:18:07 - mmengine - INFO - Epoch(train) [41][720/1879] lr: 2.0000e-02 eta: 18:34:19 time: 0.5645 data_time: 0.0260 memory: 13723 grad_norm: 3.9125 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4016 loss: 1.4016 2022/08/09 06:18:18 - mmengine - INFO - Epoch(train) [41][740/1879] lr: 2.0000e-02 eta: 18:34:06 time: 0.5636 data_time: 0.0248 memory: 13723 grad_norm: 3.9366 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3172 loss: 1.3172 2022/08/09 06:18:30 - mmengine - INFO - Epoch(train) [41][760/1879] lr: 2.0000e-02 eta: 18:33:53 time: 0.5802 data_time: 0.0259 memory: 13723 grad_norm: 3.9949 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3052 loss: 1.3052 2022/08/09 06:18:41 - mmengine - INFO - Epoch(train) [41][780/1879] lr: 2.0000e-02 eta: 18:33:40 time: 0.5604 data_time: 0.0249 memory: 13723 grad_norm: 3.9208 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4258 loss: 1.4258 2022/08/09 06:18:52 - mmengine - INFO - Epoch(train) [41][800/1879] lr: 2.0000e-02 eta: 18:33:28 time: 0.5680 data_time: 0.0239 memory: 13723 grad_norm: 4.0230 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2928 loss: 1.2928 2022/08/09 06:19:04 - mmengine - INFO - Epoch(train) [41][820/1879] lr: 2.0000e-02 eta: 18:33:15 time: 0.5643 data_time: 0.0230 memory: 13723 grad_norm: 3.9304 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2930 loss: 1.2930 2022/08/09 06:19:15 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 06:19:15 - mmengine - INFO - Epoch(train) [41][840/1879] lr: 2.0000e-02 eta: 18:33:02 time: 0.5661 data_time: 0.0242 memory: 13723 grad_norm: 3.9797 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3123 loss: 1.3123 2022/08/09 06:19:26 - mmengine - INFO - Epoch(train) [41][860/1879] lr: 2.0000e-02 eta: 18:32:49 time: 0.5662 data_time: 0.0244 memory: 13723 grad_norm: 3.9949 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4252 loss: 1.4252 2022/08/09 06:19:38 - mmengine - INFO - Epoch(train) [41][880/1879] lr: 2.0000e-02 eta: 18:32:36 time: 0.5634 data_time: 0.0231 memory: 13723 grad_norm: 3.9216 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3939 loss: 1.3939 2022/08/09 06:19:49 - mmengine - INFO - Epoch(train) [41][900/1879] lr: 2.0000e-02 eta: 18:32:23 time: 0.5617 data_time: 0.0248 memory: 13723 grad_norm: 3.9898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4282 loss: 1.4282 2022/08/09 06:20:01 - mmengine - INFO - Epoch(train) [41][920/1879] lr: 2.0000e-02 eta: 18:32:11 time: 0.5856 data_time: 0.0505 memory: 13723 grad_norm: 3.8107 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4401 loss: 1.4401 2022/08/09 06:20:12 - mmengine - INFO - Epoch(train) [41][940/1879] lr: 2.0000e-02 eta: 18:31:58 time: 0.5702 data_time: 0.0236 memory: 13723 grad_norm: 4.0669 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4262 loss: 1.4262 2022/08/09 06:20:24 - mmengine - INFO - Epoch(train) [41][960/1879] lr: 2.0000e-02 eta: 18:31:46 time: 0.5827 data_time: 0.0229 memory: 13723 grad_norm: 3.8323 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3657 loss: 1.3657 2022/08/09 06:20:36 - mmengine - INFO - Epoch(train) [41][980/1879] lr: 2.0000e-02 eta: 18:31:33 time: 0.5864 data_time: 0.0256 memory: 13723 grad_norm: 3.9442 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4563 loss: 1.4563 2022/08/09 06:20:47 - mmengine - INFO - Epoch(train) [41][1000/1879] lr: 2.0000e-02 eta: 18:31:21 time: 0.5857 data_time: 0.0256 memory: 13723 grad_norm: 3.9759 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5000 loss: 1.5000 2022/08/09 06:20:59 - mmengine - INFO - Epoch(train) [41][1020/1879] lr: 2.0000e-02 eta: 18:31:08 time: 0.5674 data_time: 0.0234 memory: 13723 grad_norm: 3.9662 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3275 loss: 1.3275 2022/08/09 06:21:10 - mmengine - INFO - Epoch(train) [41][1040/1879] lr: 2.0000e-02 eta: 18:30:56 time: 0.5643 data_time: 0.0245 memory: 13723 grad_norm: 3.8811 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4259 loss: 1.4259 2022/08/09 06:21:21 - mmengine - INFO - Epoch(train) [41][1060/1879] lr: 2.0000e-02 eta: 18:30:43 time: 0.5679 data_time: 0.0258 memory: 13723 grad_norm: 3.9532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3157 loss: 1.3157 2022/08/09 06:21:33 - mmengine - INFO - Epoch(train) [41][1080/1879] lr: 2.0000e-02 eta: 18:30:30 time: 0.5643 data_time: 0.0244 memory: 13723 grad_norm: 4.0459 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3797 loss: 1.3797 2022/08/09 06:21:44 - mmengine - INFO - Epoch(train) [41][1100/1879] lr: 2.0000e-02 eta: 18:30:17 time: 0.5675 data_time: 0.0258 memory: 13723 grad_norm: 4.1161 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4863 loss: 1.4863 2022/08/09 06:21:55 - mmengine - INFO - Epoch(train) [41][1120/1879] lr: 2.0000e-02 eta: 18:30:04 time: 0.5628 data_time: 0.0235 memory: 13723 grad_norm: 3.9066 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5341 loss: 1.5341 2022/08/09 06:22:06 - mmengine - INFO - Epoch(train) [41][1140/1879] lr: 2.0000e-02 eta: 18:29:51 time: 0.5644 data_time: 0.0277 memory: 13723 grad_norm: 3.8190 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1856 loss: 1.1856 2022/08/09 06:22:18 - mmengine - INFO - Epoch(train) [41][1160/1879] lr: 2.0000e-02 eta: 18:29:38 time: 0.5604 data_time: 0.0232 memory: 13723 grad_norm: 3.7962 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5833 loss: 1.5833 2022/08/09 06:22:29 - mmengine - INFO - Epoch(train) [41][1180/1879] lr: 2.0000e-02 eta: 18:29:25 time: 0.5617 data_time: 0.0242 memory: 13723 grad_norm: 3.8896 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2603 loss: 1.2603 2022/08/09 06:22:40 - mmengine - INFO - Epoch(train) [41][1200/1879] lr: 2.0000e-02 eta: 18:29:12 time: 0.5635 data_time: 0.0240 memory: 13723 grad_norm: 4.0071 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2197 loss: 1.2197 2022/08/09 06:22:52 - mmengine - INFO - Epoch(train) [41][1220/1879] lr: 2.0000e-02 eta: 18:29:00 time: 0.5665 data_time: 0.0242 memory: 13723 grad_norm: 3.9352 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4626 loss: 1.4626 2022/08/09 06:23:03 - mmengine - INFO - Epoch(train) [41][1240/1879] lr: 2.0000e-02 eta: 18:28:47 time: 0.5619 data_time: 0.0232 memory: 13723 grad_norm: 3.9115 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4069 loss: 1.4069 2022/08/09 06:23:14 - mmengine - INFO - Epoch(train) [41][1260/1879] lr: 2.0000e-02 eta: 18:28:34 time: 0.5668 data_time: 0.0232 memory: 13723 grad_norm: 4.0130 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4235 loss: 1.4235 2022/08/09 06:23:25 - mmengine - INFO - Epoch(train) [41][1280/1879] lr: 2.0000e-02 eta: 18:28:21 time: 0.5628 data_time: 0.0233 memory: 13723 grad_norm: 3.8465 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3424 loss: 1.3424 2022/08/09 06:23:37 - mmengine - INFO - Epoch(train) [41][1300/1879] lr: 2.0000e-02 eta: 18:28:08 time: 0.5620 data_time: 0.0241 memory: 13723 grad_norm: 3.8801 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5812 loss: 1.5812 2022/08/09 06:23:48 - mmengine - INFO - Epoch(train) [41][1320/1879] lr: 2.0000e-02 eta: 18:27:55 time: 0.5646 data_time: 0.0239 memory: 13723 grad_norm: 3.9137 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3127 loss: 1.3127 2022/08/09 06:23:59 - mmengine - INFO - Epoch(train) [41][1340/1879] lr: 2.0000e-02 eta: 18:27:42 time: 0.5667 data_time: 0.0260 memory: 13723 grad_norm: 3.8596 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3587 loss: 1.3587 2022/08/09 06:24:11 - mmengine - INFO - Epoch(train) [41][1360/1879] lr: 2.0000e-02 eta: 18:27:30 time: 0.5855 data_time: 0.0502 memory: 13723 grad_norm: 4.0842 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5492 loss: 1.5492 2022/08/09 06:24:22 - mmengine - INFO - Epoch(train) [41][1380/1879] lr: 2.0000e-02 eta: 18:27:17 time: 0.5640 data_time: 0.0224 memory: 13723 grad_norm: 4.0707 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3552 loss: 1.3552 2022/08/09 06:24:34 - mmengine - INFO - Epoch(train) [41][1400/1879] lr: 2.0000e-02 eta: 18:27:04 time: 0.5657 data_time: 0.0234 memory: 13723 grad_norm: 4.0156 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1545 loss: 1.1545 2022/08/09 06:24:45 - mmengine - INFO - Epoch(train) [41][1420/1879] lr: 2.0000e-02 eta: 18:26:52 time: 0.5671 data_time: 0.0257 memory: 13723 grad_norm: 3.9828 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4040 loss: 1.4040 2022/08/09 06:24:56 - mmengine - INFO - Epoch(train) [41][1440/1879] lr: 2.0000e-02 eta: 18:26:39 time: 0.5618 data_time: 0.0237 memory: 13723 grad_norm: 3.9888 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6134 loss: 1.6134 2022/08/09 06:25:07 - mmengine - INFO - Epoch(train) [41][1460/1879] lr: 2.0000e-02 eta: 18:26:26 time: 0.5573 data_time: 0.0213 memory: 13723 grad_norm: 3.9590 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5616 loss: 1.5616 2022/08/09 06:25:20 - mmengine - INFO - Epoch(train) [41][1480/1879] lr: 2.0000e-02 eta: 18:26:15 time: 0.6317 data_time: 0.0772 memory: 13723 grad_norm: 4.1867 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3415 loss: 1.3415 2022/08/09 06:25:32 - mmengine - INFO - Epoch(train) [41][1500/1879] lr: 2.0000e-02 eta: 18:26:02 time: 0.5877 data_time: 0.0296 memory: 13723 grad_norm: 3.8684 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4574 loss: 1.4574 2022/08/09 06:25:44 - mmengine - INFO - Epoch(train) [41][1520/1879] lr: 2.0000e-02 eta: 18:25:50 time: 0.5894 data_time: 0.0251 memory: 13723 grad_norm: 3.9495 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3230 loss: 1.3230 2022/08/09 06:25:56 - mmengine - INFO - Epoch(train) [41][1540/1879] lr: 2.0000e-02 eta: 18:25:38 time: 0.5994 data_time: 0.0250 memory: 13723 grad_norm: 3.9264 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4222 loss: 1.4222 2022/08/09 06:26:07 - mmengine - INFO - Epoch(train) [41][1560/1879] lr: 2.0000e-02 eta: 18:25:26 time: 0.5670 data_time: 0.0221 memory: 13723 grad_norm: 3.9445 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.3813 loss: 1.3813 2022/08/09 06:26:18 - mmengine - INFO - Epoch(train) [41][1580/1879] lr: 2.0000e-02 eta: 18:25:13 time: 0.5592 data_time: 0.0237 memory: 13723 grad_norm: 3.9406 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5973 loss: 1.5973 2022/08/09 06:26:29 - mmengine - INFO - Epoch(train) [41][1600/1879] lr: 2.0000e-02 eta: 18:25:00 time: 0.5653 data_time: 0.0247 memory: 13723 grad_norm: 3.9789 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5432 loss: 1.5432 2022/08/09 06:26:41 - mmengine - INFO - Epoch(train) [41][1620/1879] lr: 2.0000e-02 eta: 18:24:47 time: 0.5651 data_time: 0.0255 memory: 13723 grad_norm: 3.9691 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3346 loss: 1.3346 2022/08/09 06:26:52 - mmengine - INFO - Epoch(train) [41][1640/1879] lr: 2.0000e-02 eta: 18:24:34 time: 0.5645 data_time: 0.0233 memory: 13723 grad_norm: 3.9110 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6921 loss: 1.6921 2022/08/09 06:27:03 - mmengine - INFO - Epoch(train) [41][1660/1879] lr: 2.0000e-02 eta: 18:24:21 time: 0.5663 data_time: 0.0263 memory: 13723 grad_norm: 3.8549 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3649 loss: 1.3649 2022/08/09 06:27:15 - mmengine - INFO - Epoch(train) [41][1680/1879] lr: 2.0000e-02 eta: 18:24:08 time: 0.5594 data_time: 0.0244 memory: 13723 grad_norm: 3.9088 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4411 loss: 1.4411 2022/08/09 06:27:26 - mmengine - INFO - Epoch(train) [41][1700/1879] lr: 2.0000e-02 eta: 18:23:55 time: 0.5644 data_time: 0.0241 memory: 13723 grad_norm: 3.9405 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2879 loss: 1.2879 2022/08/09 06:27:37 - mmengine - INFO - Epoch(train) [41][1720/1879] lr: 2.0000e-02 eta: 18:23:43 time: 0.5632 data_time: 0.0245 memory: 13723 grad_norm: 3.8640 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5031 loss: 1.5031 2022/08/09 06:27:49 - mmengine - INFO - Epoch(train) [41][1740/1879] lr: 2.0000e-02 eta: 18:23:30 time: 0.5658 data_time: 0.0248 memory: 13723 grad_norm: 3.9888 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6263 loss: 1.6263 2022/08/09 06:28:00 - mmengine - INFO - Epoch(train) [41][1760/1879] lr: 2.0000e-02 eta: 18:23:18 time: 0.5885 data_time: 0.0235 memory: 13723 grad_norm: 4.0000 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4925 loss: 1.4925 2022/08/09 06:28:12 - mmengine - INFO - Epoch(train) [41][1780/1879] lr: 2.0000e-02 eta: 18:23:05 time: 0.5729 data_time: 0.0268 memory: 13723 grad_norm: 3.9364 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3751 loss: 1.3751 2022/08/09 06:28:24 - mmengine - INFO - Epoch(train) [41][1800/1879] lr: 2.0000e-02 eta: 18:22:53 time: 0.5915 data_time: 0.0220 memory: 13723 grad_norm: 3.8995 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3695 loss: 1.3695 2022/08/09 06:28:35 - mmengine - INFO - Epoch(train) [41][1820/1879] lr: 2.0000e-02 eta: 18:22:40 time: 0.5602 data_time: 0.0232 memory: 13723 grad_norm: 3.9819 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5880 loss: 1.5880 2022/08/09 06:28:46 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 06:28:46 - mmengine - INFO - Epoch(train) [41][1840/1879] lr: 2.0000e-02 eta: 18:22:27 time: 0.5733 data_time: 0.0263 memory: 13723 grad_norm: 3.9176 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3265 loss: 1.3265 2022/08/09 06:28:58 - mmengine - INFO - Epoch(train) [41][1860/1879] lr: 2.0000e-02 eta: 18:22:14 time: 0.5637 data_time: 0.0252 memory: 13723 grad_norm: 3.9093 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5219 loss: 1.5219 2022/08/09 06:29:08 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 06:29:08 - mmengine - INFO - Epoch(train) [41][1879/1879] lr: 2.0000e-02 eta: 18:22:14 time: 0.5266 data_time: 0.0176 memory: 13723 grad_norm: 4.1203 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.5756 loss: 1.5756 2022/08/09 06:29:21 - mmengine - INFO - Epoch(val) [41][20/155] eta: 0:01:30 time: 0.6709 data_time: 0.5254 memory: 1829 2022/08/09 06:29:30 - mmengine - INFO - Epoch(val) [41][40/155] eta: 0:00:49 time: 0.4263 data_time: 0.2858 memory: 1829 2022/08/09 06:29:42 - mmengine - INFO - Epoch(val) [41][60/155] eta: 0:00:57 time: 0.6101 data_time: 0.4703 memory: 1829 2022/08/09 06:29:51 - mmengine - INFO - Epoch(val) [41][80/155] eta: 0:00:35 time: 0.4688 data_time: 0.3292 memory: 1829 2022/08/09 06:30:04 - mmengine - INFO - Epoch(val) [41][100/155] eta: 0:00:34 time: 0.6334 data_time: 0.4941 memory: 1829 2022/08/09 06:30:13 - mmengine - INFO - Epoch(val) [41][120/155] eta: 0:00:16 time: 0.4778 data_time: 0.3367 memory: 1829 2022/08/09 06:30:27 - mmengine - INFO - Epoch(val) [41][140/155] eta: 0:00:10 time: 0.7033 data_time: 0.5633 memory: 1829 2022/08/09 06:30:35 - mmengine - INFO - Epoch(val) [41][155/155] acc/top1: 0.6357 acc/top5: 0.8545 acc/mean1: 0.6356 2022/08/09 06:30:36 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_39.pth is removed 2022/08/09 06:30:37 - mmengine - INFO - The best checkpoint with 0.6357 acc/top1 at 42 epoch is saved to best_acc/top1_epoch_42.pth. 2022/08/09 06:30:53 - mmengine - INFO - Epoch(train) [42][20/1879] lr: 2.0000e-02 eta: 18:21:41 time: 0.8097 data_time: 0.2398 memory: 13723 grad_norm: 3.9048 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3049 loss: 1.3049 2022/08/09 06:31:05 - mmengine - INFO - Epoch(train) [42][40/1879] lr: 2.0000e-02 eta: 18:21:28 time: 0.5658 data_time: 0.0229 memory: 13723 grad_norm: 3.8247 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.2807 loss: 1.2807 2022/08/09 06:31:16 - mmengine - INFO - Epoch(train) [42][60/1879] lr: 2.0000e-02 eta: 18:21:15 time: 0.5647 data_time: 0.0228 memory: 13723 grad_norm: 3.8800 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1974 loss: 1.1974 2022/08/09 06:31:27 - mmengine - INFO - Epoch(train) [42][80/1879] lr: 2.0000e-02 eta: 18:21:02 time: 0.5618 data_time: 0.0250 memory: 13723 grad_norm: 3.8489 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.3114 loss: 1.3114 2022/08/09 06:31:38 - mmengine - INFO - Epoch(train) [42][100/1879] lr: 2.0000e-02 eta: 18:20:50 time: 0.5636 data_time: 0.0229 memory: 13723 grad_norm: 3.9188 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2741 loss: 1.2741 2022/08/09 06:31:50 - mmengine - INFO - Epoch(train) [42][120/1879] lr: 2.0000e-02 eta: 18:20:37 time: 0.5633 data_time: 0.0244 memory: 13723 grad_norm: 3.9508 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1557 loss: 1.1557 2022/08/09 06:32:01 - mmengine - INFO - Epoch(train) [42][140/1879] lr: 2.0000e-02 eta: 18:20:24 time: 0.5855 data_time: 0.0434 memory: 13723 grad_norm: 3.9588 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3156 loss: 1.3156 2022/08/09 06:32:13 - mmengine - INFO - Epoch(train) [42][160/1879] lr: 2.0000e-02 eta: 18:20:12 time: 0.5641 data_time: 0.0243 memory: 13723 grad_norm: 3.9457 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0353 loss: 1.0353 2022/08/09 06:32:24 - mmengine - INFO - Epoch(train) [42][180/1879] lr: 2.0000e-02 eta: 18:19:59 time: 0.5616 data_time: 0.0236 memory: 13723 grad_norm: 3.8975 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3576 loss: 1.3576 2022/08/09 06:32:35 - mmengine - INFO - Epoch(train) [42][200/1879] lr: 2.0000e-02 eta: 18:19:46 time: 0.5707 data_time: 0.0244 memory: 13723 grad_norm: 3.9742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4654 loss: 1.4654 2022/08/09 06:32:47 - mmengine - INFO - Epoch(train) [42][220/1879] lr: 2.0000e-02 eta: 18:19:33 time: 0.5602 data_time: 0.0235 memory: 13723 grad_norm: 3.8872 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3350 loss: 1.3350 2022/08/09 06:32:58 - mmengine - INFO - Epoch(train) [42][240/1879] lr: 2.0000e-02 eta: 18:19:20 time: 0.5681 data_time: 0.0299 memory: 13723 grad_norm: 3.9947 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2932 loss: 1.2932 2022/08/09 06:33:09 - mmengine - INFO - Epoch(train) [42][260/1879] lr: 2.0000e-02 eta: 18:19:07 time: 0.5606 data_time: 0.0233 memory: 13723 grad_norm: 4.0506 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2586 loss: 1.2586 2022/08/09 06:33:21 - mmengine - INFO - Epoch(train) [42][280/1879] lr: 2.0000e-02 eta: 18:18:55 time: 0.5675 data_time: 0.0250 memory: 13723 grad_norm: 3.9156 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4046 loss: 1.4046 2022/08/09 06:33:32 - mmengine - INFO - Epoch(train) [42][300/1879] lr: 2.0000e-02 eta: 18:18:42 time: 0.5679 data_time: 0.0244 memory: 13723 grad_norm: 3.9444 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.2438 loss: 1.2438 2022/08/09 06:33:43 - mmengine - INFO - Epoch(train) [42][320/1879] lr: 2.0000e-02 eta: 18:18:29 time: 0.5630 data_time: 0.0259 memory: 13723 grad_norm: 3.9473 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4663 loss: 1.4663 2022/08/09 06:33:55 - mmengine - INFO - Epoch(train) [42][340/1879] lr: 2.0000e-02 eta: 18:18:16 time: 0.5632 data_time: 0.0256 memory: 13723 grad_norm: 3.9868 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4468 loss: 1.4468 2022/08/09 06:34:06 - mmengine - INFO - Epoch(train) [42][360/1879] lr: 2.0000e-02 eta: 18:18:03 time: 0.5640 data_time: 0.0245 memory: 13723 grad_norm: 3.9406 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4125 loss: 1.4125 2022/08/09 06:34:17 - mmengine - INFO - Epoch(train) [42][380/1879] lr: 2.0000e-02 eta: 18:17:50 time: 0.5605 data_time: 0.0242 memory: 13723 grad_norm: 4.0096 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3948 loss: 1.3948 2022/08/09 06:34:28 - mmengine - INFO - Epoch(train) [42][400/1879] lr: 2.0000e-02 eta: 18:17:38 time: 0.5659 data_time: 0.0255 memory: 13723 grad_norm: 3.8234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3212 loss: 1.3212 2022/08/09 06:34:40 - mmengine - INFO - Epoch(train) [42][420/1879] lr: 2.0000e-02 eta: 18:17:25 time: 0.5656 data_time: 0.0261 memory: 13723 grad_norm: 3.9247 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4497 loss: 1.4497 2022/08/09 06:34:51 - mmengine - INFO - Epoch(train) [42][440/1879] lr: 2.0000e-02 eta: 18:17:12 time: 0.5657 data_time: 0.0248 memory: 13723 grad_norm: 4.0603 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4671 loss: 1.4671 2022/08/09 06:35:03 - mmengine - INFO - Epoch(train) [42][460/1879] lr: 2.0000e-02 eta: 18:17:00 time: 0.5815 data_time: 0.0427 memory: 13723 grad_norm: 3.9442 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5364 loss: 1.5364 2022/08/09 06:35:15 - mmengine - INFO - Epoch(train) [42][480/1879] lr: 2.0000e-02 eta: 18:16:48 time: 0.5921 data_time: 0.0294 memory: 13723 grad_norm: 4.0395 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4927 loss: 1.4927 2022/08/09 06:35:27 - mmengine - INFO - Epoch(train) [42][500/1879] lr: 2.0000e-02 eta: 18:16:36 time: 0.5998 data_time: 0.0278 memory: 13723 grad_norm: 4.0505 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4557 loss: 1.4557 2022/08/09 06:35:38 - mmengine - INFO - Epoch(train) [42][520/1879] lr: 2.0000e-02 eta: 18:16:24 time: 0.5855 data_time: 0.0249 memory: 13723 grad_norm: 3.9954 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3481 loss: 1.3481 2022/08/09 06:35:50 - mmengine - INFO - Epoch(train) [42][540/1879] lr: 2.0000e-02 eta: 18:16:11 time: 0.5812 data_time: 0.0269 memory: 13723 grad_norm: 3.9165 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2593 loss: 1.2593 2022/08/09 06:36:02 - mmengine - INFO - Epoch(train) [42][560/1879] lr: 2.0000e-02 eta: 18:15:59 time: 0.5908 data_time: 0.0256 memory: 13723 grad_norm: 3.9861 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2601 loss: 1.2601 2022/08/09 06:36:13 - mmengine - INFO - Epoch(train) [42][580/1879] lr: 2.0000e-02 eta: 18:15:47 time: 0.5767 data_time: 0.0267 memory: 13723 grad_norm: 4.0006 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3992 loss: 1.3992 2022/08/09 06:36:25 - mmengine - INFO - Epoch(train) [42][600/1879] lr: 2.0000e-02 eta: 18:15:34 time: 0.5704 data_time: 0.0239 memory: 13723 grad_norm: 3.9951 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3416 loss: 1.3416 2022/08/09 06:36:36 - mmengine - INFO - Epoch(train) [42][620/1879] lr: 2.0000e-02 eta: 18:15:21 time: 0.5641 data_time: 0.0249 memory: 13723 grad_norm: 3.9972 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3792 loss: 1.3792 2022/08/09 06:36:47 - mmengine - INFO - Epoch(train) [42][640/1879] lr: 2.0000e-02 eta: 18:15:08 time: 0.5644 data_time: 0.0252 memory: 13723 grad_norm: 3.9847 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4335 loss: 1.4335 2022/08/09 06:36:59 - mmengine - INFO - Epoch(train) [42][660/1879] lr: 2.0000e-02 eta: 18:14:56 time: 0.5649 data_time: 0.0258 memory: 13723 grad_norm: 4.0032 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4611 loss: 1.4611 2022/08/09 06:37:10 - mmengine - INFO - Epoch(train) [42][680/1879] lr: 2.0000e-02 eta: 18:14:43 time: 0.5650 data_time: 0.0230 memory: 13723 grad_norm: 3.9981 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5507 loss: 1.5507 2022/08/09 06:37:21 - mmengine - INFO - Epoch(train) [42][700/1879] lr: 2.0000e-02 eta: 18:14:30 time: 0.5691 data_time: 0.0255 memory: 13723 grad_norm: 3.9044 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5413 loss: 1.5413 2022/08/09 06:37:33 - mmengine - INFO - Epoch(train) [42][720/1879] lr: 2.0000e-02 eta: 18:14:17 time: 0.5661 data_time: 0.0266 memory: 13723 grad_norm: 4.0064 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2493 loss: 1.2493 2022/08/09 06:37:44 - mmengine - INFO - Epoch(train) [42][740/1879] lr: 2.0000e-02 eta: 18:14:04 time: 0.5604 data_time: 0.0256 memory: 13723 grad_norm: 4.0712 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4140 loss: 1.4140 2022/08/09 06:37:56 - mmengine - INFO - Epoch(train) [42][760/1879] lr: 2.0000e-02 eta: 18:13:53 time: 0.6092 data_time: 0.0634 memory: 13723 grad_norm: 4.0138 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4549 loss: 1.4549 2022/08/09 06:38:07 - mmengine - INFO - Epoch(train) [42][780/1879] lr: 2.0000e-02 eta: 18:13:40 time: 0.5640 data_time: 0.0228 memory: 13723 grad_norm: 3.9816 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5263 loss: 1.5263 2022/08/09 06:38:19 - mmengine - INFO - Epoch(train) [42][800/1879] lr: 2.0000e-02 eta: 18:13:27 time: 0.5630 data_time: 0.0235 memory: 13723 grad_norm: 3.9731 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4289 loss: 1.4289 2022/08/09 06:38:30 - mmengine - INFO - Epoch(train) [42][820/1879] lr: 2.0000e-02 eta: 18:13:14 time: 0.5638 data_time: 0.0224 memory: 13723 grad_norm: 3.9219 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2929 loss: 1.2929 2022/08/09 06:38:41 - mmengine - INFO - Epoch(train) [42][840/1879] lr: 2.0000e-02 eta: 18:13:02 time: 0.5718 data_time: 0.0272 memory: 13723 grad_norm: 3.9680 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4963 loss: 1.4963 2022/08/09 06:38:53 - mmengine - INFO - Epoch(train) [42][860/1879] lr: 2.0000e-02 eta: 18:12:49 time: 0.5622 data_time: 0.0238 memory: 13723 grad_norm: 3.9127 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2003 loss: 1.2003 2022/08/09 06:39:04 - mmengine - INFO - Epoch(train) [42][880/1879] lr: 2.0000e-02 eta: 18:12:36 time: 0.5673 data_time: 0.0238 memory: 13723 grad_norm: 3.8823 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.2040 loss: 1.2040 2022/08/09 06:39:15 - mmengine - INFO - Epoch(train) [42][900/1879] lr: 2.0000e-02 eta: 18:12:23 time: 0.5636 data_time: 0.0263 memory: 13723 grad_norm: 3.8288 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2439 loss: 1.2439 2022/08/09 06:39:27 - mmengine - INFO - Epoch(train) [42][920/1879] lr: 2.0000e-02 eta: 18:12:10 time: 0.5645 data_time: 0.0236 memory: 13723 grad_norm: 3.9700 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6200 loss: 1.6200 2022/08/09 06:39:38 - mmengine - INFO - Epoch(train) [42][940/1879] lr: 2.0000e-02 eta: 18:11:58 time: 0.5688 data_time: 0.0259 memory: 13723 grad_norm: 3.9655 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2825 loss: 1.2825 2022/08/09 06:39:49 - mmengine - INFO - Epoch(train) [42][960/1879] lr: 2.0000e-02 eta: 18:11:45 time: 0.5602 data_time: 0.0221 memory: 13723 grad_norm: 4.0248 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5309 loss: 1.5309 2022/08/09 06:39:50 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 06:40:00 - mmengine - INFO - Epoch(train) [42][980/1879] lr: 2.0000e-02 eta: 18:11:32 time: 0.5662 data_time: 0.0249 memory: 13723 grad_norm: 4.0100 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2948 loss: 1.2948 2022/08/09 06:40:12 - mmengine - INFO - Epoch(train) [42][1000/1879] lr: 2.0000e-02 eta: 18:11:20 time: 0.5779 data_time: 0.0291 memory: 13723 grad_norm: 3.9143 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5841 loss: 1.5841 2022/08/09 06:40:24 - mmengine - INFO - Epoch(train) [42][1020/1879] lr: 2.0000e-02 eta: 18:11:07 time: 0.5818 data_time: 0.0294 memory: 13723 grad_norm: 3.9596 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3180 loss: 1.3180 2022/08/09 06:40:35 - mmengine - INFO - Epoch(train) [42][1040/1879] lr: 2.0000e-02 eta: 18:10:55 time: 0.5785 data_time: 0.0272 memory: 13723 grad_norm: 4.0387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4636 loss: 1.4636 2022/08/09 06:40:47 - mmengine - INFO - Epoch(train) [42][1060/1879] lr: 2.0000e-02 eta: 18:10:42 time: 0.5705 data_time: 0.0253 memory: 13723 grad_norm: 3.9528 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3464 loss: 1.3464 2022/08/09 06:40:58 - mmengine - INFO - Epoch(train) [42][1080/1879] lr: 2.0000e-02 eta: 18:10:29 time: 0.5653 data_time: 0.0230 memory: 13723 grad_norm: 4.1088 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3748 loss: 1.3748 2022/08/09 06:41:09 - mmengine - INFO - Epoch(train) [42][1100/1879] lr: 2.0000e-02 eta: 18:10:17 time: 0.5688 data_time: 0.0251 memory: 13723 grad_norm: 3.9903 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3241 loss: 1.3241 2022/08/09 06:41:21 - mmengine - INFO - Epoch(train) [42][1120/1879] lr: 2.0000e-02 eta: 18:10:04 time: 0.5621 data_time: 0.0244 memory: 13723 grad_norm: 4.1027 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5238 loss: 1.5238 2022/08/09 06:41:32 - mmengine - INFO - Epoch(train) [42][1140/1879] lr: 2.0000e-02 eta: 18:09:51 time: 0.5623 data_time: 0.0234 memory: 13723 grad_norm: 3.9182 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.2880 loss: 1.2880 2022/08/09 06:41:43 - mmengine - INFO - Epoch(train) [42][1160/1879] lr: 2.0000e-02 eta: 18:09:38 time: 0.5711 data_time: 0.0251 memory: 13723 grad_norm: 4.0522 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.4378 loss: 1.4378 2022/08/09 06:41:55 - mmengine - INFO - Epoch(train) [42][1180/1879] lr: 2.0000e-02 eta: 18:09:26 time: 0.5612 data_time: 0.0229 memory: 13723 grad_norm: 3.9824 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4960 loss: 1.4960 2022/08/09 06:42:06 - mmengine - INFO - Epoch(train) [42][1200/1879] lr: 2.0000e-02 eta: 18:09:13 time: 0.5643 data_time: 0.0266 memory: 13723 grad_norm: 3.9422 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2720 loss: 1.2720 2022/08/09 06:42:17 - mmengine - INFO - Epoch(train) [42][1220/1879] lr: 2.0000e-02 eta: 18:09:00 time: 0.5595 data_time: 0.0234 memory: 13723 grad_norm: 3.9536 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3266 loss: 1.3266 2022/08/09 06:42:28 - mmengine - INFO - Epoch(train) [42][1240/1879] lr: 2.0000e-02 eta: 18:08:47 time: 0.5675 data_time: 0.0274 memory: 13723 grad_norm: 3.8557 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5034 loss: 1.5034 2022/08/09 06:42:40 - mmengine - INFO - Epoch(train) [42][1260/1879] lr: 2.0000e-02 eta: 18:08:34 time: 0.5621 data_time: 0.0244 memory: 13723 grad_norm: 4.0256 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3712 loss: 1.3712 2022/08/09 06:42:51 - mmengine - INFO - Epoch(train) [42][1280/1879] lr: 2.0000e-02 eta: 18:08:22 time: 0.5717 data_time: 0.0252 memory: 13723 grad_norm: 4.0513 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2405 loss: 1.2405 2022/08/09 06:43:02 - mmengine - INFO - Epoch(train) [42][1300/1879] lr: 2.0000e-02 eta: 18:08:09 time: 0.5623 data_time: 0.0219 memory: 13723 grad_norm: 3.9477 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2709 loss: 1.2709 2022/08/09 06:43:14 - mmengine - INFO - Epoch(train) [42][1320/1879] lr: 2.0000e-02 eta: 18:07:56 time: 0.5679 data_time: 0.0253 memory: 13723 grad_norm: 3.9174 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4599 loss: 1.4599 2022/08/09 06:43:25 - mmengine - INFO - Epoch(train) [42][1340/1879] lr: 2.0000e-02 eta: 18:07:43 time: 0.5623 data_time: 0.0233 memory: 13723 grad_norm: 4.0248 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5913 loss: 1.5913 2022/08/09 06:43:36 - mmengine - INFO - Epoch(train) [42][1360/1879] lr: 2.0000e-02 eta: 18:07:30 time: 0.5630 data_time: 0.0228 memory: 13723 grad_norm: 3.9452 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4986 loss: 1.4986 2022/08/09 06:43:48 - mmengine - INFO - Epoch(train) [42][1380/1879] lr: 2.0000e-02 eta: 18:07:18 time: 0.5654 data_time: 0.0262 memory: 13723 grad_norm: 3.9770 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3417 loss: 1.3417 2022/08/09 06:43:59 - mmengine - INFO - Epoch(train) [42][1400/1879] lr: 2.0000e-02 eta: 18:07:05 time: 0.5612 data_time: 0.0235 memory: 13723 grad_norm: 4.0832 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4581 loss: 1.4581 2022/08/09 06:44:10 - mmengine - INFO - Epoch(train) [42][1420/1879] lr: 2.0000e-02 eta: 18:06:52 time: 0.5643 data_time: 0.0267 memory: 13723 grad_norm: 3.9840 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3362 loss: 1.3362 2022/08/09 06:44:21 - mmengine - INFO - Epoch(train) [42][1440/1879] lr: 2.0000e-02 eta: 18:06:39 time: 0.5623 data_time: 0.0238 memory: 13723 grad_norm: 3.8987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3188 loss: 1.3188 2022/08/09 06:44:33 - mmengine - INFO - Epoch(train) [42][1460/1879] lr: 2.0000e-02 eta: 18:06:26 time: 0.5643 data_time: 0.0240 memory: 13723 grad_norm: 3.9569 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4528 loss: 1.4528 2022/08/09 06:44:44 - mmengine - INFO - Epoch(train) [42][1480/1879] lr: 2.0000e-02 eta: 18:06:13 time: 0.5611 data_time: 0.0226 memory: 13723 grad_norm: 4.0355 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5614 loss: 1.5614 2022/08/09 06:44:55 - mmengine - INFO - Epoch(train) [42][1500/1879] lr: 2.0000e-02 eta: 18:06:01 time: 0.5642 data_time: 0.0262 memory: 13723 grad_norm: 4.0280 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3909 loss: 1.3909 2022/08/09 06:45:06 - mmengine - INFO - Epoch(train) [42][1520/1879] lr: 2.0000e-02 eta: 18:05:47 time: 0.5506 data_time: 0.0223 memory: 13723 grad_norm: 3.9248 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5387 loss: 1.5387 2022/08/09 06:45:20 - mmengine - INFO - Epoch(train) [42][1540/1879] lr: 2.0000e-02 eta: 18:05:38 time: 0.6888 data_time: 0.0451 memory: 13723 grad_norm: 3.9134 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2829 loss: 1.2829 2022/08/09 06:45:32 - mmengine - INFO - Epoch(train) [42][1560/1879] lr: 2.0000e-02 eta: 18:05:26 time: 0.5791 data_time: 0.0276 memory: 13723 grad_norm: 4.0396 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3579 loss: 1.3579 2022/08/09 06:45:43 - mmengine - INFO - Epoch(train) [42][1580/1879] lr: 2.0000e-02 eta: 18:05:13 time: 0.5853 data_time: 0.0260 memory: 13723 grad_norm: 4.0613 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5562 loss: 1.5562 2022/08/09 06:45:55 - mmengine - INFO - Epoch(train) [42][1600/1879] lr: 2.0000e-02 eta: 18:05:01 time: 0.5797 data_time: 0.0258 memory: 13723 grad_norm: 3.9452 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3763 loss: 1.3763 2022/08/09 06:46:07 - mmengine - INFO - Epoch(train) [42][1620/1879] lr: 2.0000e-02 eta: 18:04:49 time: 0.5991 data_time: 0.0312 memory: 13723 grad_norm: 4.0266 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4939 loss: 1.4939 2022/08/09 06:46:18 - mmengine - INFO - Epoch(train) [42][1640/1879] lr: 2.0000e-02 eta: 18:04:36 time: 0.5614 data_time: 0.0242 memory: 13723 grad_norm: 4.0810 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6322 loss: 1.6322 2022/08/09 06:46:29 - mmengine - INFO - Epoch(train) [42][1660/1879] lr: 2.0000e-02 eta: 18:04:24 time: 0.5619 data_time: 0.0240 memory: 13723 grad_norm: 4.0478 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5320 loss: 1.5320 2022/08/09 06:46:41 - mmengine - INFO - Epoch(train) [42][1680/1879] lr: 2.0000e-02 eta: 18:04:11 time: 0.5645 data_time: 0.0263 memory: 13723 grad_norm: 3.9687 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5083 loss: 1.5083 2022/08/09 06:46:52 - mmengine - INFO - Epoch(train) [42][1700/1879] lr: 2.0000e-02 eta: 18:03:58 time: 0.5643 data_time: 0.0236 memory: 13723 grad_norm: 3.8752 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3882 loss: 1.3882 2022/08/09 06:47:03 - mmengine - INFO - Epoch(train) [42][1720/1879] lr: 2.0000e-02 eta: 18:03:45 time: 0.5642 data_time: 0.0261 memory: 13723 grad_norm: 3.8408 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4610 loss: 1.4610 2022/08/09 06:47:15 - mmengine - INFO - Epoch(train) [42][1740/1879] lr: 2.0000e-02 eta: 18:03:32 time: 0.5621 data_time: 0.0239 memory: 13723 grad_norm: 3.7650 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3114 loss: 1.3114 2022/08/09 06:47:26 - mmengine - INFO - Epoch(train) [42][1760/1879] lr: 2.0000e-02 eta: 18:03:20 time: 0.5652 data_time: 0.0244 memory: 13723 grad_norm: 3.9495 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3512 loss: 1.3512 2022/08/09 06:47:37 - mmengine - INFO - Epoch(train) [42][1780/1879] lr: 2.0000e-02 eta: 18:03:07 time: 0.5631 data_time: 0.0276 memory: 13723 grad_norm: 4.1479 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5301 loss: 1.5301 2022/08/09 06:47:48 - mmengine - INFO - Epoch(train) [42][1800/1879] lr: 2.0000e-02 eta: 18:02:54 time: 0.5606 data_time: 0.0259 memory: 13723 grad_norm: 3.9997 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3785 loss: 1.3785 2022/08/09 06:48:00 - mmengine - INFO - Epoch(train) [42][1820/1879] lr: 2.0000e-02 eta: 18:02:42 time: 0.5831 data_time: 0.0446 memory: 13723 grad_norm: 3.9855 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3903 loss: 1.3903 2022/08/09 06:48:11 - mmengine - INFO - Epoch(train) [42][1840/1879] lr: 2.0000e-02 eta: 18:02:29 time: 0.5636 data_time: 0.0247 memory: 13723 grad_norm: 3.8616 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2446 loss: 1.2446 2022/08/09 06:48:23 - mmengine - INFO - Epoch(train) [42][1860/1879] lr: 2.0000e-02 eta: 18:02:16 time: 0.5696 data_time: 0.0240 memory: 13723 grad_norm: 3.9467 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5156 loss: 1.5156 2022/08/09 06:48:33 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 06:48:33 - mmengine - INFO - Epoch(train) [42][1879/1879] lr: 2.0000e-02 eta: 18:02:16 time: 0.5497 data_time: 0.0180 memory: 13723 grad_norm: 4.2359 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.5465 loss: 1.5465 2022/08/09 06:48:33 - mmengine - INFO - Saving checkpoint at 42 epochs 2022/08/09 06:48:48 - mmengine - INFO - Epoch(val) [42][20/155] eta: 0:01:30 time: 0.6714 data_time: 0.5313 memory: 1829 2022/08/09 06:48:57 - mmengine - INFO - Epoch(val) [42][40/155] eta: 0:00:50 time: 0.4351 data_time: 0.2958 memory: 1829 2022/08/09 06:49:09 - mmengine - INFO - Epoch(val) [42][60/155] eta: 0:00:56 time: 0.5939 data_time: 0.4551 memory: 1829 2022/08/09 06:49:18 - mmengine - INFO - Epoch(val) [42][80/155] eta: 0:00:33 time: 0.4524 data_time: 0.3127 memory: 1829 2022/08/09 06:49:30 - mmengine - INFO - Epoch(val) [42][100/155] eta: 0:00:33 time: 0.6150 data_time: 0.4719 memory: 1829 2022/08/09 06:49:40 - mmengine - INFO - Epoch(val) [42][120/155] eta: 0:00:16 time: 0.4736 data_time: 0.3342 memory: 1829 2022/08/09 06:49:53 - mmengine - INFO - Epoch(val) [42][140/155] eta: 0:00:09 time: 0.6595 data_time: 0.5203 memory: 1829 2022/08/09 06:50:00 - mmengine - INFO - Epoch(val) [42][155/155] acc/top1: 0.6294 acc/top5: 0.8491 acc/mean1: 0.6292 2022/08/09 06:50:20 - mmengine - INFO - Epoch(train) [43][20/1879] lr: 2.0000e-02 eta: 18:01:48 time: 0.9823 data_time: 0.2832 memory: 13723 grad_norm: 3.7681 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4538 loss: 1.4538 2022/08/09 06:50:31 - mmengine - INFO - Epoch(train) [43][40/1879] lr: 2.0000e-02 eta: 18:01:35 time: 0.5740 data_time: 0.0249 memory: 13723 grad_norm: 4.0050 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4341 loss: 1.4341 2022/08/09 06:50:43 - mmengine - INFO - Epoch(train) [43][60/1879] lr: 2.0000e-02 eta: 18:01:23 time: 0.5836 data_time: 0.0259 memory: 13723 grad_norm: 4.0055 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3935 loss: 1.3935 2022/08/09 06:50:55 - mmengine - INFO - Epoch(train) [43][80/1879] lr: 2.0000e-02 eta: 18:01:11 time: 0.5763 data_time: 0.0247 memory: 13723 grad_norm: 3.9567 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3797 loss: 1.3797 2022/08/09 06:50:56 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 06:51:06 - mmengine - INFO - Epoch(train) [43][100/1879] lr: 2.0000e-02 eta: 18:00:58 time: 0.5665 data_time: 0.0244 memory: 13723 grad_norm: 4.0765 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3236 loss: 1.3236 2022/08/09 06:51:17 - mmengine - INFO - Epoch(train) [43][120/1879] lr: 2.0000e-02 eta: 18:00:45 time: 0.5589 data_time: 0.0239 memory: 13723 grad_norm: 3.8887 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.3055 loss: 1.3055 2022/08/09 06:51:28 - mmengine - INFO - Epoch(train) [43][140/1879] lr: 2.0000e-02 eta: 18:00:32 time: 0.5622 data_time: 0.0243 memory: 13723 grad_norm: 3.9723 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3300 loss: 1.3300 2022/08/09 06:51:40 - mmengine - INFO - Epoch(train) [43][160/1879] lr: 2.0000e-02 eta: 18:00:20 time: 0.5681 data_time: 0.0246 memory: 13723 grad_norm: 4.0490 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6311 loss: 1.6311 2022/08/09 06:51:51 - mmengine - INFO - Epoch(train) [43][180/1879] lr: 2.0000e-02 eta: 18:00:07 time: 0.5629 data_time: 0.0255 memory: 13723 grad_norm: 3.9258 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4500 loss: 1.4500 2022/08/09 06:52:02 - mmengine - INFO - Epoch(train) [43][200/1879] lr: 2.0000e-02 eta: 17:59:54 time: 0.5663 data_time: 0.0252 memory: 13723 grad_norm: 4.0496 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.3791 loss: 1.3791 2022/08/09 06:52:14 - mmengine - INFO - Epoch(train) [43][220/1879] lr: 2.0000e-02 eta: 17:59:42 time: 0.5763 data_time: 0.0277 memory: 13723 grad_norm: 3.8624 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4858 loss: 1.4858 2022/08/09 06:52:25 - mmengine - INFO - Epoch(train) [43][240/1879] lr: 2.0000e-02 eta: 17:59:29 time: 0.5605 data_time: 0.0226 memory: 13723 grad_norm: 3.9325 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2527 loss: 1.2527 2022/08/09 06:52:36 - mmengine - INFO - Epoch(train) [43][260/1879] lr: 2.0000e-02 eta: 17:59:16 time: 0.5648 data_time: 0.0239 memory: 13723 grad_norm: 3.9466 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3389 loss: 1.3389 2022/08/09 06:52:48 - mmengine - INFO - Epoch(train) [43][280/1879] lr: 2.0000e-02 eta: 17:59:03 time: 0.5652 data_time: 0.0228 memory: 13723 grad_norm: 3.9174 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3426 loss: 1.3426 2022/08/09 06:52:59 - mmengine - INFO - Epoch(train) [43][300/1879] lr: 2.0000e-02 eta: 17:58:51 time: 0.5671 data_time: 0.0260 memory: 13723 grad_norm: 3.9745 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3111 loss: 1.3111 2022/08/09 06:53:10 - mmengine - INFO - Epoch(train) [43][320/1879] lr: 2.0000e-02 eta: 17:58:38 time: 0.5628 data_time: 0.0237 memory: 13723 grad_norm: 3.8769 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3052 loss: 1.3052 2022/08/09 06:53:22 - mmengine - INFO - Epoch(train) [43][340/1879] lr: 2.0000e-02 eta: 17:58:25 time: 0.5781 data_time: 0.0410 memory: 13723 grad_norm: 3.9140 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4733 loss: 1.4733 2022/08/09 06:53:33 - mmengine - INFO - Epoch(train) [43][360/1879] lr: 2.0000e-02 eta: 17:58:13 time: 0.5662 data_time: 0.0243 memory: 13723 grad_norm: 3.9823 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4005 loss: 1.4005 2022/08/09 06:53:45 - mmengine - INFO - Epoch(train) [43][380/1879] lr: 2.0000e-02 eta: 17:58:00 time: 0.5840 data_time: 0.0238 memory: 13723 grad_norm: 3.9113 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2662 loss: 1.2662 2022/08/09 06:53:56 - mmengine - INFO - Epoch(train) [43][400/1879] lr: 2.0000e-02 eta: 17:57:48 time: 0.5608 data_time: 0.0225 memory: 13723 grad_norm: 3.9345 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3739 loss: 1.3739 2022/08/09 06:54:07 - mmengine - INFO - Epoch(train) [43][420/1879] lr: 2.0000e-02 eta: 17:57:35 time: 0.5613 data_time: 0.0242 memory: 13723 grad_norm: 4.0149 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3451 loss: 1.3451 2022/08/09 06:54:19 - mmengine - INFO - Epoch(train) [43][440/1879] lr: 2.0000e-02 eta: 17:57:22 time: 0.5627 data_time: 0.0242 memory: 13723 grad_norm: 3.9421 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4485 loss: 1.4485 2022/08/09 06:54:30 - mmengine - INFO - Epoch(train) [43][460/1879] lr: 2.0000e-02 eta: 17:57:09 time: 0.5604 data_time: 0.0245 memory: 13723 grad_norm: 4.0167 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2932 loss: 1.2932 2022/08/09 06:54:41 - mmengine - INFO - Epoch(train) [43][480/1879] lr: 2.0000e-02 eta: 17:56:56 time: 0.5668 data_time: 0.0263 memory: 13723 grad_norm: 4.0449 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3187 loss: 1.3187 2022/08/09 06:54:53 - mmengine - INFO - Epoch(train) [43][500/1879] lr: 2.0000e-02 eta: 17:56:44 time: 0.5656 data_time: 0.0237 memory: 13723 grad_norm: 3.9848 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5565 loss: 1.5565 2022/08/09 06:55:04 - mmengine - INFO - Epoch(train) [43][520/1879] lr: 2.0000e-02 eta: 17:56:31 time: 0.5574 data_time: 0.0224 memory: 13723 grad_norm: 3.9165 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3019 loss: 1.3019 2022/08/09 06:55:17 - mmengine - INFO - Epoch(train) [43][540/1879] lr: 2.0000e-02 eta: 17:56:21 time: 0.6704 data_time: 0.0969 memory: 13723 grad_norm: 3.8888 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.3879 loss: 1.3879 2022/08/09 06:55:29 - mmengine - INFO - Epoch(train) [43][560/1879] lr: 2.0000e-02 eta: 17:56:09 time: 0.5855 data_time: 0.0305 memory: 13723 grad_norm: 3.7884 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3156 loss: 1.3156 2022/08/09 06:55:40 - mmengine - INFO - Epoch(train) [43][580/1879] lr: 2.0000e-02 eta: 17:55:56 time: 0.5831 data_time: 0.0267 memory: 13723 grad_norm: 4.0564 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4979 loss: 1.4979 2022/08/09 06:55:53 - mmengine - INFO - Epoch(train) [43][600/1879] lr: 2.0000e-02 eta: 17:55:45 time: 0.6061 data_time: 0.0263 memory: 13723 grad_norm: 3.9636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2626 loss: 1.2626 2022/08/09 06:56:04 - mmengine - INFO - Epoch(train) [43][620/1879] lr: 2.0000e-02 eta: 17:55:32 time: 0.5742 data_time: 0.0247 memory: 13723 grad_norm: 3.9305 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2905 loss: 1.2905 2022/08/09 06:56:15 - mmengine - INFO - Epoch(train) [43][640/1879] lr: 2.0000e-02 eta: 17:55:19 time: 0.5623 data_time: 0.0236 memory: 13723 grad_norm: 4.0772 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4611 loss: 1.4611 2022/08/09 06:56:27 - mmengine - INFO - Epoch(train) [43][660/1879] lr: 2.0000e-02 eta: 17:55:07 time: 0.5682 data_time: 0.0260 memory: 13723 grad_norm: 3.9641 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3754 loss: 1.3754 2022/08/09 06:56:38 - mmengine - INFO - Epoch(train) [43][680/1879] lr: 2.0000e-02 eta: 17:54:54 time: 0.5589 data_time: 0.0238 memory: 13723 grad_norm: 3.9621 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3839 loss: 1.3839 2022/08/09 06:56:49 - mmengine - INFO - Epoch(train) [43][700/1879] lr: 2.0000e-02 eta: 17:54:41 time: 0.5628 data_time: 0.0246 memory: 13723 grad_norm: 3.9468 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5126 loss: 1.5126 2022/08/09 06:57:00 - mmengine - INFO - Epoch(train) [43][720/1879] lr: 2.0000e-02 eta: 17:54:28 time: 0.5606 data_time: 0.0245 memory: 13723 grad_norm: 4.0130 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4361 loss: 1.4361 2022/08/09 06:57:12 - mmengine - INFO - Epoch(train) [43][740/1879] lr: 2.0000e-02 eta: 17:54:15 time: 0.5603 data_time: 0.0223 memory: 13723 grad_norm: 3.9717 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3594 loss: 1.3594 2022/08/09 06:57:23 - mmengine - INFO - Epoch(train) [43][760/1879] lr: 2.0000e-02 eta: 17:54:03 time: 0.5695 data_time: 0.0289 memory: 13723 grad_norm: 3.9300 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5167 loss: 1.5167 2022/08/09 06:57:34 - mmengine - INFO - Epoch(train) [43][780/1879] lr: 2.0000e-02 eta: 17:53:50 time: 0.5603 data_time: 0.0247 memory: 13723 grad_norm: 3.9753 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2782 loss: 1.2782 2022/08/09 06:57:46 - mmengine - INFO - Epoch(train) [43][800/1879] lr: 2.0000e-02 eta: 17:53:37 time: 0.5611 data_time: 0.0229 memory: 13723 grad_norm: 3.9570 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4347 loss: 1.4347 2022/08/09 06:57:57 - mmengine - INFO - Epoch(train) [43][820/1879] lr: 2.0000e-02 eta: 17:53:25 time: 0.5838 data_time: 0.0335 memory: 13723 grad_norm: 4.0114 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.2749 loss: 1.2749 2022/08/09 06:58:09 - mmengine - INFO - Epoch(train) [43][840/1879] lr: 2.0000e-02 eta: 17:53:12 time: 0.5657 data_time: 0.0242 memory: 13723 grad_norm: 4.0265 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3068 loss: 1.3068 2022/08/09 06:58:20 - mmengine - INFO - Epoch(train) [43][860/1879] lr: 2.0000e-02 eta: 17:52:59 time: 0.5643 data_time: 0.0279 memory: 13723 grad_norm: 4.0345 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4564 loss: 1.4564 2022/08/09 06:58:31 - mmengine - INFO - Epoch(train) [43][880/1879] lr: 2.0000e-02 eta: 17:52:47 time: 0.5646 data_time: 0.0252 memory: 13723 grad_norm: 3.9086 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2744 loss: 1.2744 2022/08/09 06:58:42 - mmengine - INFO - Epoch(train) [43][900/1879] lr: 2.0000e-02 eta: 17:52:34 time: 0.5631 data_time: 0.0242 memory: 13723 grad_norm: 3.9750 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2435 loss: 1.2435 2022/08/09 06:58:54 - mmengine - INFO - Epoch(train) [43][920/1879] lr: 2.0000e-02 eta: 17:52:21 time: 0.5637 data_time: 0.0248 memory: 13723 grad_norm: 4.0424 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3517 loss: 1.3517 2022/08/09 06:59:05 - mmengine - INFO - Epoch(train) [43][940/1879] lr: 2.0000e-02 eta: 17:52:08 time: 0.5694 data_time: 0.0237 memory: 13723 grad_norm: 3.8622 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3596 loss: 1.3596 2022/08/09 06:59:16 - mmengine - INFO - Epoch(train) [43][960/1879] lr: 2.0000e-02 eta: 17:51:56 time: 0.5660 data_time: 0.0246 memory: 13723 grad_norm: 4.0208 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4797 loss: 1.4797 2022/08/09 06:59:28 - mmengine - INFO - Epoch(train) [43][980/1879] lr: 2.0000e-02 eta: 17:51:43 time: 0.5628 data_time: 0.0233 memory: 13723 grad_norm: 4.0662 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5783 loss: 1.5783 2022/08/09 06:59:39 - mmengine - INFO - Epoch(train) [43][1000/1879] lr: 2.0000e-02 eta: 17:51:30 time: 0.5643 data_time: 0.0252 memory: 13723 grad_norm: 3.8971 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3040 loss: 1.3040 2022/08/09 06:59:50 - mmengine - INFO - Epoch(train) [43][1020/1879] lr: 2.0000e-02 eta: 17:51:17 time: 0.5656 data_time: 0.0244 memory: 13723 grad_norm: 3.9018 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6303 loss: 1.6303 2022/08/09 07:00:02 - mmengine - INFO - Epoch(train) [43][1040/1879] lr: 2.0000e-02 eta: 17:51:05 time: 0.5647 data_time: 0.0247 memory: 13723 grad_norm: 3.8798 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5348 loss: 1.5348 2022/08/09 07:00:13 - mmengine - INFO - Epoch(train) [43][1060/1879] lr: 2.0000e-02 eta: 17:50:52 time: 0.5790 data_time: 0.0299 memory: 13723 grad_norm: 3.9793 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2260 loss: 1.2260 2022/08/09 07:00:25 - mmengine - INFO - Epoch(train) [43][1080/1879] lr: 2.0000e-02 eta: 17:50:40 time: 0.5840 data_time: 0.0261 memory: 13723 grad_norm: 3.9463 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3963 loss: 1.3963 2022/08/09 07:00:26 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 07:00:37 - mmengine - INFO - Epoch(train) [43][1100/1879] lr: 2.0000e-02 eta: 17:50:28 time: 0.5859 data_time: 0.0305 memory: 13723 grad_norm: 3.9014 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3174 loss: 1.3174 2022/08/09 07:00:48 - mmengine - INFO - Epoch(train) [43][1120/1879] lr: 2.0000e-02 eta: 17:50:15 time: 0.5684 data_time: 0.0218 memory: 13723 grad_norm: 3.9810 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3749 loss: 1.3749 2022/08/09 07:00:59 - mmengine - INFO - Epoch(train) [43][1140/1879] lr: 2.0000e-02 eta: 17:50:03 time: 0.5662 data_time: 0.0248 memory: 13723 grad_norm: 4.0495 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3551 loss: 1.3551 2022/08/09 07:01:11 - mmengine - INFO - Epoch(train) [43][1160/1879] lr: 2.0000e-02 eta: 17:49:50 time: 0.5749 data_time: 0.0258 memory: 13723 grad_norm: 3.9553 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3673 loss: 1.3673 2022/08/09 07:01:22 - mmengine - INFO - Epoch(train) [43][1180/1879] lr: 2.0000e-02 eta: 17:49:37 time: 0.5659 data_time: 0.0241 memory: 13723 grad_norm: 4.0265 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4957 loss: 1.4957 2022/08/09 07:01:34 - mmengine - INFO - Epoch(train) [43][1200/1879] lr: 2.0000e-02 eta: 17:49:25 time: 0.5629 data_time: 0.0228 memory: 13723 grad_norm: 3.8539 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2973 loss: 1.2973 2022/08/09 07:01:45 - mmengine - INFO - Epoch(train) [43][1220/1879] lr: 2.0000e-02 eta: 17:49:12 time: 0.5783 data_time: 0.0440 memory: 13723 grad_norm: 3.9007 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4913 loss: 1.4913 2022/08/09 07:01:56 - mmengine - INFO - Epoch(train) [43][1240/1879] lr: 2.0000e-02 eta: 17:49:00 time: 0.5672 data_time: 0.0243 memory: 13723 grad_norm: 3.8507 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2413 loss: 1.2413 2022/08/09 07:02:08 - mmengine - INFO - Epoch(train) [43][1260/1879] lr: 2.0000e-02 eta: 17:48:47 time: 0.5648 data_time: 0.0253 memory: 13723 grad_norm: 3.9531 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3701 loss: 1.3701 2022/08/09 07:02:19 - mmengine - INFO - Epoch(train) [43][1280/1879] lr: 2.0000e-02 eta: 17:48:34 time: 0.5620 data_time: 0.0238 memory: 13723 grad_norm: 4.1305 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4541 loss: 1.4541 2022/08/09 07:02:30 - mmengine - INFO - Epoch(train) [43][1300/1879] lr: 2.0000e-02 eta: 17:48:21 time: 0.5611 data_time: 0.0223 memory: 13723 grad_norm: 4.0064 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3769 loss: 1.3769 2022/08/09 07:02:41 - mmengine - INFO - Epoch(train) [43][1320/1879] lr: 2.0000e-02 eta: 17:48:09 time: 0.5650 data_time: 0.0254 memory: 13723 grad_norm: 4.0478 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4277 loss: 1.4277 2022/08/09 07:02:53 - mmengine - INFO - Epoch(train) [43][1340/1879] lr: 2.0000e-02 eta: 17:47:56 time: 0.5581 data_time: 0.0237 memory: 13723 grad_norm: 3.9568 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2936 loss: 1.2936 2022/08/09 07:03:04 - mmengine - INFO - Epoch(train) [43][1360/1879] lr: 2.0000e-02 eta: 17:47:43 time: 0.5662 data_time: 0.0249 memory: 13723 grad_norm: 3.8954 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3431 loss: 1.3431 2022/08/09 07:03:15 - mmengine - INFO - Epoch(train) [43][1380/1879] lr: 2.0000e-02 eta: 17:47:30 time: 0.5697 data_time: 0.0248 memory: 13723 grad_norm: 3.9646 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6196 loss: 1.6196 2022/08/09 07:03:27 - mmengine - INFO - Epoch(train) [43][1400/1879] lr: 2.0000e-02 eta: 17:47:18 time: 0.5676 data_time: 0.0260 memory: 13723 grad_norm: 3.9261 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4584 loss: 1.4584 2022/08/09 07:03:38 - mmengine - INFO - Epoch(train) [43][1420/1879] lr: 2.0000e-02 eta: 17:47:05 time: 0.5648 data_time: 0.0229 memory: 13723 grad_norm: 4.0815 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4387 loss: 1.4387 2022/08/09 07:03:49 - mmengine - INFO - Epoch(train) [43][1440/1879] lr: 2.0000e-02 eta: 17:46:52 time: 0.5653 data_time: 0.0228 memory: 13723 grad_norm: 4.0826 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2739 loss: 1.2739 2022/08/09 07:04:01 - mmengine - INFO - Epoch(train) [43][1460/1879] lr: 2.0000e-02 eta: 17:46:40 time: 0.5645 data_time: 0.0231 memory: 13723 grad_norm: 4.0002 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4148 loss: 1.4148 2022/08/09 07:04:12 - mmengine - INFO - Epoch(train) [43][1480/1879] lr: 2.0000e-02 eta: 17:46:27 time: 0.5625 data_time: 0.0236 memory: 13723 grad_norm: 3.9940 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5745 loss: 1.5745 2022/08/09 07:04:23 - mmengine - INFO - Epoch(train) [43][1500/1879] lr: 2.0000e-02 eta: 17:46:14 time: 0.5769 data_time: 0.0399 memory: 13723 grad_norm: 3.9556 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3813 loss: 1.3813 2022/08/09 07:04:35 - mmengine - INFO - Epoch(train) [43][1520/1879] lr: 2.0000e-02 eta: 17:46:02 time: 0.5642 data_time: 0.0260 memory: 13723 grad_norm: 3.9899 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3152 loss: 1.3152 2022/08/09 07:04:46 - mmengine - INFO - Epoch(train) [43][1540/1879] lr: 2.0000e-02 eta: 17:45:49 time: 0.5644 data_time: 0.0239 memory: 13723 grad_norm: 3.9355 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4758 loss: 1.4758 2022/08/09 07:04:57 - mmengine - INFO - Epoch(train) [43][1560/1879] lr: 2.0000e-02 eta: 17:45:36 time: 0.5600 data_time: 0.0241 memory: 13723 grad_norm: 3.9162 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4857 loss: 1.4857 2022/08/09 07:05:09 - mmengine - INFO - Epoch(train) [43][1580/1879] lr: 2.0000e-02 eta: 17:45:25 time: 0.6080 data_time: 0.0211 memory: 13723 grad_norm: 3.9955 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5848 loss: 1.5848 2022/08/09 07:05:22 - mmengine - INFO - Epoch(train) [43][1600/1879] lr: 2.0000e-02 eta: 17:45:13 time: 0.6213 data_time: 0.0264 memory: 13723 grad_norm: 3.8949 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4310 loss: 1.4310 2022/08/09 07:05:34 - mmengine - INFO - Epoch(train) [43][1620/1879] lr: 2.0000e-02 eta: 17:45:01 time: 0.5818 data_time: 0.0267 memory: 13723 grad_norm: 4.0082 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5651 loss: 1.5651 2022/08/09 07:05:46 - mmengine - INFO - Epoch(train) [43][1640/1879] lr: 2.0000e-02 eta: 17:44:49 time: 0.5981 data_time: 0.0251 memory: 13723 grad_norm: 4.0740 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6007 loss: 1.6007 2022/08/09 07:05:57 - mmengine - INFO - Epoch(train) [43][1660/1879] lr: 2.0000e-02 eta: 17:44:37 time: 0.5848 data_time: 0.0252 memory: 13723 grad_norm: 4.0977 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5918 loss: 1.5918 2022/08/09 07:06:09 - mmengine - INFO - Epoch(train) [43][1680/1879] lr: 2.0000e-02 eta: 17:44:25 time: 0.5911 data_time: 0.0252 memory: 13723 grad_norm: 3.9913 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5520 loss: 1.5520 2022/08/09 07:06:21 - mmengine - INFO - Epoch(train) [43][1700/1879] lr: 2.0000e-02 eta: 17:44:13 time: 0.5730 data_time: 0.0248 memory: 13723 grad_norm: 3.9620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4772 loss: 1.4772 2022/08/09 07:06:32 - mmengine - INFO - Epoch(train) [43][1720/1879] lr: 2.0000e-02 eta: 17:44:00 time: 0.5629 data_time: 0.0233 memory: 13723 grad_norm: 3.9677 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6196 loss: 1.6196 2022/08/09 07:06:43 - mmengine - INFO - Epoch(train) [43][1740/1879] lr: 2.0000e-02 eta: 17:43:47 time: 0.5612 data_time: 0.0231 memory: 13723 grad_norm: 4.0575 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5208 loss: 1.5208 2022/08/09 07:06:54 - mmengine - INFO - Epoch(train) [43][1760/1879] lr: 2.0000e-02 eta: 17:43:34 time: 0.5673 data_time: 0.0237 memory: 13723 grad_norm: 3.9896 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5071 loss: 1.5071 2022/08/09 07:07:06 - mmengine - INFO - Epoch(train) [43][1780/1879] lr: 2.0000e-02 eta: 17:43:22 time: 0.5681 data_time: 0.0239 memory: 13723 grad_norm: 4.0029 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4486 loss: 1.4486 2022/08/09 07:07:17 - mmengine - INFO - Epoch(train) [43][1800/1879] lr: 2.0000e-02 eta: 17:43:09 time: 0.5612 data_time: 0.0245 memory: 13723 grad_norm: 3.9838 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3485 loss: 1.3485 2022/08/09 07:07:28 - mmengine - INFO - Epoch(train) [43][1820/1879] lr: 2.0000e-02 eta: 17:42:56 time: 0.5666 data_time: 0.0262 memory: 13723 grad_norm: 4.0571 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5470 loss: 1.5470 2022/08/09 07:07:40 - mmengine - INFO - Epoch(train) [43][1840/1879] lr: 2.0000e-02 eta: 17:42:43 time: 0.5608 data_time: 0.0236 memory: 13723 grad_norm: 3.9855 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6463 loss: 1.6463 2022/08/09 07:07:51 - mmengine - INFO - Epoch(train) [43][1860/1879] lr: 2.0000e-02 eta: 17:42:31 time: 0.5740 data_time: 0.0231 memory: 13723 grad_norm: 3.8666 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2664 loss: 1.2664 2022/08/09 07:08:01 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 07:08:01 - mmengine - INFO - Epoch(train) [43][1879/1879] lr: 2.0000e-02 eta: 17:42:31 time: 0.5275 data_time: 0.0173 memory: 13723 grad_norm: 3.9891 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.5852 loss: 1.5852 2022/08/09 07:08:14 - mmengine - INFO - Epoch(val) [43][20/155] eta: 0:01:30 time: 0.6677 data_time: 0.5270 memory: 1829 2022/08/09 07:08:23 - mmengine - INFO - Epoch(val) [43][40/155] eta: 0:00:50 time: 0.4353 data_time: 0.2953 memory: 1829 2022/08/09 07:08:35 - mmengine - INFO - Epoch(val) [43][60/155] eta: 0:00:56 time: 0.5898 data_time: 0.4500 memory: 1829 2022/08/09 07:08:44 - mmengine - INFO - Epoch(val) [43][80/155] eta: 0:00:33 time: 0.4484 data_time: 0.3083 memory: 1829 2022/08/09 07:08:56 - mmengine - INFO - Epoch(val) [43][100/155] eta: 0:00:34 time: 0.6244 data_time: 0.4854 memory: 1829 2022/08/09 07:09:06 - mmengine - INFO - Epoch(val) [43][120/155] eta: 0:00:16 time: 0.4765 data_time: 0.3344 memory: 1829 2022/08/09 07:09:19 - mmengine - INFO - Epoch(val) [43][140/155] eta: 0:00:09 time: 0.6615 data_time: 0.5225 memory: 1829 2022/08/09 07:09:27 - mmengine - INFO - Epoch(val) [43][155/155] acc/top1: 0.6248 acc/top5: 0.8495 acc/mean1: 0.6247 2022/08/09 07:09:43 - mmengine - INFO - Epoch(train) [44][20/1879] lr: 2.0000e-02 eta: 17:41:58 time: 0.7842 data_time: 0.1995 memory: 13723 grad_norm: 3.7821 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3685 loss: 1.3685 2022/08/09 07:09:54 - mmengine - INFO - Epoch(train) [44][40/1879] lr: 2.0000e-02 eta: 17:41:45 time: 0.5784 data_time: 0.0246 memory: 13723 grad_norm: 3.9647 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3623 loss: 1.3623 2022/08/09 07:10:06 - mmengine - INFO - Epoch(train) [44][60/1879] lr: 2.0000e-02 eta: 17:41:34 time: 0.6132 data_time: 0.0417 memory: 13723 grad_norm: 3.9241 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3970 loss: 1.3970 2022/08/09 07:10:19 - mmengine - INFO - Epoch(train) [44][80/1879] lr: 2.0000e-02 eta: 17:41:23 time: 0.6283 data_time: 0.0670 memory: 13723 grad_norm: 3.9952 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5521 loss: 1.5521 2022/08/09 07:10:32 - mmengine - INFO - Epoch(train) [44][100/1879] lr: 2.0000e-02 eta: 17:41:12 time: 0.6232 data_time: 0.0263 memory: 13723 grad_norm: 4.0279 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3103 loss: 1.3103 2022/08/09 07:10:43 - mmengine - INFO - Epoch(train) [44][120/1879] lr: 2.0000e-02 eta: 17:40:59 time: 0.5763 data_time: 0.0255 memory: 13723 grad_norm: 3.9273 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3922 loss: 1.3922 2022/08/09 07:10:55 - mmengine - INFO - Epoch(train) [44][140/1879] lr: 2.0000e-02 eta: 17:40:47 time: 0.5636 data_time: 0.0251 memory: 13723 grad_norm: 3.9867 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4375 loss: 1.4375 2022/08/09 07:11:06 - mmengine - INFO - Epoch(train) [44][160/1879] lr: 2.0000e-02 eta: 17:40:34 time: 0.5806 data_time: 0.0442 memory: 13723 grad_norm: 3.8349 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4976 loss: 1.4976 2022/08/09 07:11:17 - mmengine - INFO - Epoch(train) [44][180/1879] lr: 2.0000e-02 eta: 17:40:22 time: 0.5592 data_time: 0.0240 memory: 13723 grad_norm: 3.9776 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5263 loss: 1.5263 2022/08/09 07:11:28 - mmengine - INFO - Epoch(train) [44][200/1879] lr: 2.0000e-02 eta: 17:40:09 time: 0.5608 data_time: 0.0239 memory: 13723 grad_norm: 3.9158 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3716 loss: 1.3716 2022/08/09 07:11:30 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 07:11:40 - mmengine - INFO - Epoch(train) [44][220/1879] lr: 2.0000e-02 eta: 17:39:56 time: 0.5686 data_time: 0.0239 memory: 13723 grad_norm: 3.9781 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2471 loss: 1.2471 2022/08/09 07:11:51 - mmengine - INFO - Epoch(train) [44][240/1879] lr: 2.0000e-02 eta: 17:39:43 time: 0.5633 data_time: 0.0234 memory: 13723 grad_norm: 3.9288 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1908 loss: 1.1908 2022/08/09 07:12:02 - mmengine - INFO - Epoch(train) [44][260/1879] lr: 2.0000e-02 eta: 17:39:31 time: 0.5655 data_time: 0.0241 memory: 13723 grad_norm: 3.9846 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4175 loss: 1.4175 2022/08/09 07:12:14 - mmengine - INFO - Epoch(train) [44][280/1879] lr: 2.0000e-02 eta: 17:39:18 time: 0.5649 data_time: 0.0233 memory: 13723 grad_norm: 3.9955 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2333 loss: 1.2333 2022/08/09 07:12:25 - mmengine - INFO - Epoch(train) [44][300/1879] lr: 2.0000e-02 eta: 17:39:05 time: 0.5668 data_time: 0.0252 memory: 13723 grad_norm: 3.9769 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3379 loss: 1.3379 2022/08/09 07:12:36 - mmengine - INFO - Epoch(train) [44][320/1879] lr: 2.0000e-02 eta: 17:38:53 time: 0.5622 data_time: 0.0236 memory: 13723 grad_norm: 3.9397 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3798 loss: 1.3798 2022/08/09 07:12:48 - mmengine - INFO - Epoch(train) [44][340/1879] lr: 2.0000e-02 eta: 17:38:40 time: 0.5691 data_time: 0.0229 memory: 13723 grad_norm: 3.9180 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.2551 loss: 1.2551 2022/08/09 07:12:59 - mmengine - INFO - Epoch(train) [44][360/1879] lr: 2.0000e-02 eta: 17:38:27 time: 0.5617 data_time: 0.0244 memory: 13723 grad_norm: 3.9759 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1095 loss: 1.1095 2022/08/09 07:13:10 - mmengine - INFO - Epoch(train) [44][380/1879] lr: 2.0000e-02 eta: 17:38:15 time: 0.5653 data_time: 0.0233 memory: 13723 grad_norm: 3.9366 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3596 loss: 1.3596 2022/08/09 07:13:22 - mmengine - INFO - Epoch(train) [44][400/1879] lr: 2.0000e-02 eta: 17:38:02 time: 0.5619 data_time: 0.0235 memory: 13723 grad_norm: 3.9721 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5104 loss: 1.5104 2022/08/09 07:13:33 - mmengine - INFO - Epoch(train) [44][420/1879] lr: 2.0000e-02 eta: 17:37:49 time: 0.5663 data_time: 0.0232 memory: 13723 grad_norm: 3.9362 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3172 loss: 1.3172 2022/08/09 07:13:44 - mmengine - INFO - Epoch(train) [44][440/1879] lr: 2.0000e-02 eta: 17:37:37 time: 0.5625 data_time: 0.0233 memory: 13723 grad_norm: 3.9807 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3855 loss: 1.3855 2022/08/09 07:13:55 - mmengine - INFO - Epoch(train) [44][460/1879] lr: 2.0000e-02 eta: 17:37:24 time: 0.5604 data_time: 0.0229 memory: 13723 grad_norm: 3.9048 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3253 loss: 1.3253 2022/08/09 07:14:07 - mmengine - INFO - Epoch(train) [44][480/1879] lr: 2.0000e-02 eta: 17:37:12 time: 0.5885 data_time: 0.0245 memory: 13723 grad_norm: 3.9776 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4174 loss: 1.4174 2022/08/09 07:14:18 - mmengine - INFO - Epoch(train) [44][500/1879] lr: 2.0000e-02 eta: 17:36:59 time: 0.5628 data_time: 0.0243 memory: 13723 grad_norm: 3.9879 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2669 loss: 1.2669 2022/08/09 07:14:30 - mmengine - INFO - Epoch(train) [44][520/1879] lr: 2.0000e-02 eta: 17:36:46 time: 0.5636 data_time: 0.0234 memory: 13723 grad_norm: 3.8460 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4549 loss: 1.4549 2022/08/09 07:14:41 - mmengine - INFO - Epoch(train) [44][540/1879] lr: 2.0000e-02 eta: 17:36:33 time: 0.5601 data_time: 0.0252 memory: 13723 grad_norm: 3.8126 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2790 loss: 1.2790 2022/08/09 07:14:52 - mmengine - INFO - Epoch(train) [44][560/1879] lr: 2.0000e-02 eta: 17:36:21 time: 0.5625 data_time: 0.0240 memory: 13723 grad_norm: 3.8965 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3838 loss: 1.3838 2022/08/09 07:15:03 - mmengine - INFO - Epoch(train) [44][580/1879] lr: 2.0000e-02 eta: 17:36:08 time: 0.5660 data_time: 0.0255 memory: 13723 grad_norm: 3.9152 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1614 loss: 1.1614 2022/08/09 07:15:15 - mmengine - INFO - Epoch(train) [44][600/1879] lr: 2.0000e-02 eta: 17:35:56 time: 0.5738 data_time: 0.0258 memory: 13723 grad_norm: 3.8190 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5239 loss: 1.5239 2022/08/09 07:15:26 - mmengine - INFO - Epoch(train) [44][620/1879] lr: 2.0000e-02 eta: 17:35:43 time: 0.5768 data_time: 0.0271 memory: 13723 grad_norm: 4.0095 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3487 loss: 1.3487 2022/08/09 07:15:38 - mmengine - INFO - Epoch(train) [44][640/1879] lr: 2.0000e-02 eta: 17:35:31 time: 0.5708 data_time: 0.0244 memory: 13723 grad_norm: 3.9926 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2304 loss: 1.2304 2022/08/09 07:15:49 - mmengine - INFO - Epoch(train) [44][660/1879] lr: 2.0000e-02 eta: 17:35:18 time: 0.5649 data_time: 0.0226 memory: 13723 grad_norm: 3.9897 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2172 loss: 1.2172 2022/08/09 07:16:01 - mmengine - INFO - Epoch(train) [44][680/1879] lr: 2.0000e-02 eta: 17:35:05 time: 0.5735 data_time: 0.0230 memory: 13723 grad_norm: 4.0276 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2902 loss: 1.2902 2022/08/09 07:16:12 - mmengine - INFO - Epoch(train) [44][700/1879] lr: 2.0000e-02 eta: 17:34:53 time: 0.5639 data_time: 0.0258 memory: 13723 grad_norm: 3.8929 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2936 loss: 1.2936 2022/08/09 07:16:23 - mmengine - INFO - Epoch(train) [44][720/1879] lr: 2.0000e-02 eta: 17:34:40 time: 0.5617 data_time: 0.0235 memory: 13723 grad_norm: 3.9901 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4623 loss: 1.4623 2022/08/09 07:16:34 - mmengine - INFO - Epoch(train) [44][740/1879] lr: 2.0000e-02 eta: 17:34:27 time: 0.5609 data_time: 0.0238 memory: 13723 grad_norm: 3.9739 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3958 loss: 1.3958 2022/08/09 07:16:46 - mmengine - INFO - Epoch(train) [44][760/1879] lr: 2.0000e-02 eta: 17:34:15 time: 0.5651 data_time: 0.0257 memory: 13723 grad_norm: 3.9783 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3287 loss: 1.3287 2022/08/09 07:16:57 - mmengine - INFO - Epoch(train) [44][780/1879] lr: 2.0000e-02 eta: 17:34:02 time: 0.5735 data_time: 0.0219 memory: 13723 grad_norm: 3.9479 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4623 loss: 1.4623 2022/08/09 07:17:08 - mmengine - INFO - Epoch(train) [44][800/1879] lr: 2.0000e-02 eta: 17:33:49 time: 0.5585 data_time: 0.0225 memory: 13723 grad_norm: 3.9779 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2916 loss: 1.2916 2022/08/09 07:17:20 - mmengine - INFO - Epoch(train) [44][820/1879] lr: 2.0000e-02 eta: 17:33:37 time: 0.5661 data_time: 0.0257 memory: 13723 grad_norm: 4.0634 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4669 loss: 1.4669 2022/08/09 07:17:31 - mmengine - INFO - Epoch(train) [44][840/1879] lr: 2.0000e-02 eta: 17:33:24 time: 0.5658 data_time: 0.0246 memory: 13723 grad_norm: 3.9883 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2495 loss: 1.2495 2022/08/09 07:17:42 - mmengine - INFO - Epoch(train) [44][860/1879] lr: 2.0000e-02 eta: 17:33:11 time: 0.5621 data_time: 0.0221 memory: 13723 grad_norm: 4.0291 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3807 loss: 1.3807 2022/08/09 07:17:54 - mmengine - INFO - Epoch(train) [44][880/1879] lr: 2.0000e-02 eta: 17:32:59 time: 0.5796 data_time: 0.0242 memory: 13723 grad_norm: 3.9137 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3058 loss: 1.3058 2022/08/09 07:18:05 - mmengine - INFO - Epoch(train) [44][900/1879] lr: 2.0000e-02 eta: 17:32:46 time: 0.5727 data_time: 0.0242 memory: 13723 grad_norm: 3.9583 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2038 loss: 1.2038 2022/08/09 07:18:17 - mmengine - INFO - Epoch(train) [44][920/1879] lr: 2.0000e-02 eta: 17:32:34 time: 0.5622 data_time: 0.0237 memory: 13723 grad_norm: 3.9822 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.3667 loss: 1.3667 2022/08/09 07:18:28 - mmengine - INFO - Epoch(train) [44][940/1879] lr: 2.0000e-02 eta: 17:32:21 time: 0.5618 data_time: 0.0228 memory: 13723 grad_norm: 3.9097 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4999 loss: 1.4999 2022/08/09 07:18:39 - mmengine - INFO - Epoch(train) [44][960/1879] lr: 2.0000e-02 eta: 17:32:08 time: 0.5611 data_time: 0.0238 memory: 13723 grad_norm: 3.9198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4337 loss: 1.4337 2022/08/09 07:18:51 - mmengine - INFO - Epoch(train) [44][980/1879] lr: 2.0000e-02 eta: 17:31:56 time: 0.5698 data_time: 0.0259 memory: 13723 grad_norm: 4.0157 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5406 loss: 1.5406 2022/08/09 07:19:02 - mmengine - INFO - Epoch(train) [44][1000/1879] lr: 2.0000e-02 eta: 17:31:43 time: 0.5738 data_time: 0.0241 memory: 13723 grad_norm: 3.9534 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4489 loss: 1.4489 2022/08/09 07:19:13 - mmengine - INFO - Epoch(train) [44][1020/1879] lr: 2.0000e-02 eta: 17:31:31 time: 0.5634 data_time: 0.0245 memory: 13723 grad_norm: 3.9392 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4219 loss: 1.4219 2022/08/09 07:19:25 - mmengine - INFO - Epoch(train) [44][1040/1879] lr: 2.0000e-02 eta: 17:31:18 time: 0.5676 data_time: 0.0238 memory: 13723 grad_norm: 3.9682 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3707 loss: 1.3707 2022/08/09 07:19:36 - mmengine - INFO - Epoch(train) [44][1060/1879] lr: 2.0000e-02 eta: 17:31:05 time: 0.5692 data_time: 0.0341 memory: 13723 grad_norm: 3.9498 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2807 loss: 1.2807 2022/08/09 07:19:47 - mmengine - INFO - Epoch(train) [44][1080/1879] lr: 2.0000e-02 eta: 17:30:53 time: 0.5656 data_time: 0.0226 memory: 13723 grad_norm: 3.9746 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3635 loss: 1.3635 2022/08/09 07:19:59 - mmengine - INFO - Epoch(train) [44][1100/1879] lr: 2.0000e-02 eta: 17:30:40 time: 0.5607 data_time: 0.0250 memory: 13723 grad_norm: 4.0892 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3131 loss: 1.3131 2022/08/09 07:20:10 - mmengine - INFO - Epoch(train) [44][1120/1879] lr: 2.0000e-02 eta: 17:30:27 time: 0.5549 data_time: 0.0216 memory: 13723 grad_norm: 3.9640 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3691 loss: 1.3691 2022/08/09 07:20:23 - mmengine - INFO - Epoch(train) [44][1140/1879] lr: 2.0000e-02 eta: 17:30:16 time: 0.6411 data_time: 0.0421 memory: 13723 grad_norm: 3.9810 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2677 loss: 1.2677 2022/08/09 07:20:35 - mmengine - INFO - Epoch(train) [44][1160/1879] lr: 2.0000e-02 eta: 17:30:05 time: 0.6013 data_time: 0.0355 memory: 13723 grad_norm: 3.9360 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5532 loss: 1.5532 2022/08/09 07:20:47 - mmengine - INFO - Epoch(train) [44][1180/1879] lr: 2.0000e-02 eta: 17:29:53 time: 0.5944 data_time: 0.0259 memory: 13723 grad_norm: 3.7412 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1317 loss: 1.1317 2022/08/09 07:20:58 - mmengine - INFO - Epoch(train) [44][1200/1879] lr: 2.0000e-02 eta: 17:29:40 time: 0.5788 data_time: 0.0251 memory: 13723 grad_norm: 3.9457 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3516 loss: 1.3516 2022/08/09 07:21:00 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 07:21:10 - mmengine - INFO - Epoch(train) [44][1220/1879] lr: 2.0000e-02 eta: 17:29:28 time: 0.5719 data_time: 0.0241 memory: 13723 grad_norm: 4.0262 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3546 loss: 1.3546 2022/08/09 07:21:21 - mmengine - INFO - Epoch(train) [44][1240/1879] lr: 2.0000e-02 eta: 17:29:15 time: 0.5653 data_time: 0.0237 memory: 13723 grad_norm: 3.9142 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3475 loss: 1.3475 2022/08/09 07:21:32 - mmengine - INFO - Epoch(train) [44][1260/1879] lr: 2.0000e-02 eta: 17:29:02 time: 0.5584 data_time: 0.0235 memory: 13723 grad_norm: 3.8378 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.4780 loss: 1.4780 2022/08/09 07:21:43 - mmengine - INFO - Epoch(train) [44][1280/1879] lr: 2.0000e-02 eta: 17:28:50 time: 0.5623 data_time: 0.0239 memory: 13723 grad_norm: 3.9587 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4204 loss: 1.4204 2022/08/09 07:21:55 - mmengine - INFO - Epoch(train) [44][1300/1879] lr: 2.0000e-02 eta: 17:28:37 time: 0.5643 data_time: 0.0251 memory: 13723 grad_norm: 3.9078 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4965 loss: 1.4965 2022/08/09 07:22:06 - mmengine - INFO - Epoch(train) [44][1320/1879] lr: 2.0000e-02 eta: 17:28:24 time: 0.5632 data_time: 0.0239 memory: 13723 grad_norm: 3.8883 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3573 loss: 1.3573 2022/08/09 07:22:17 - mmengine - INFO - Epoch(train) [44][1340/1879] lr: 2.0000e-02 eta: 17:28:12 time: 0.5658 data_time: 0.0236 memory: 13723 grad_norm: 3.9293 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4791 loss: 1.4791 2022/08/09 07:22:28 - mmengine - INFO - Epoch(train) [44][1360/1879] lr: 2.0000e-02 eta: 17:27:59 time: 0.5612 data_time: 0.0228 memory: 13723 grad_norm: 4.0859 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4973 loss: 1.4973 2022/08/09 07:22:40 - mmengine - INFO - Epoch(train) [44][1380/1879] lr: 2.0000e-02 eta: 17:27:46 time: 0.5670 data_time: 0.0232 memory: 13723 grad_norm: 4.0092 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4681 loss: 1.4681 2022/08/09 07:22:51 - mmengine - INFO - Epoch(train) [44][1400/1879] lr: 2.0000e-02 eta: 17:27:34 time: 0.5635 data_time: 0.0234 memory: 13723 grad_norm: 4.1010 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5982 loss: 1.5982 2022/08/09 07:23:02 - mmengine - INFO - Epoch(train) [44][1420/1879] lr: 2.0000e-02 eta: 17:27:21 time: 0.5631 data_time: 0.0246 memory: 13723 grad_norm: 4.0385 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5717 loss: 1.5717 2022/08/09 07:23:14 - mmengine - INFO - Epoch(train) [44][1440/1879] lr: 2.0000e-02 eta: 17:27:08 time: 0.5657 data_time: 0.0225 memory: 13723 grad_norm: 3.9563 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5132 loss: 1.5132 2022/08/09 07:23:25 - mmengine - INFO - Epoch(train) [44][1460/1879] lr: 2.0000e-02 eta: 17:26:56 time: 0.5643 data_time: 0.0242 memory: 13723 grad_norm: 4.0157 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3345 loss: 1.3345 2022/08/09 07:23:36 - mmengine - INFO - Epoch(train) [44][1480/1879] lr: 2.0000e-02 eta: 17:26:43 time: 0.5633 data_time: 0.0252 memory: 13723 grad_norm: 3.9873 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3510 loss: 1.3510 2022/08/09 07:23:48 - mmengine - INFO - Epoch(train) [44][1500/1879] lr: 2.0000e-02 eta: 17:26:30 time: 0.5713 data_time: 0.0247 memory: 13723 grad_norm: 3.9767 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2642 loss: 1.2642 2022/08/09 07:23:59 - mmengine - INFO - Epoch(train) [44][1520/1879] lr: 2.0000e-02 eta: 17:26:18 time: 0.5627 data_time: 0.0223 memory: 13723 grad_norm: 4.0643 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4484 loss: 1.4484 2022/08/09 07:24:10 - mmengine - INFO - Epoch(train) [44][1540/1879] lr: 2.0000e-02 eta: 17:26:05 time: 0.5601 data_time: 0.0223 memory: 13723 grad_norm: 4.0195 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5265 loss: 1.5265 2022/08/09 07:24:21 - mmengine - INFO - Epoch(train) [44][1560/1879] lr: 2.0000e-02 eta: 17:25:52 time: 0.5608 data_time: 0.0229 memory: 13723 grad_norm: 4.0479 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4248 loss: 1.4248 2022/08/09 07:24:33 - mmengine - INFO - Epoch(train) [44][1580/1879] lr: 2.0000e-02 eta: 17:25:40 time: 0.5678 data_time: 0.0236 memory: 13723 grad_norm: 3.9055 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3474 loss: 1.3474 2022/08/09 07:24:44 - mmengine - INFO - Epoch(train) [44][1600/1879] lr: 2.0000e-02 eta: 17:25:27 time: 0.5625 data_time: 0.0225 memory: 13723 grad_norm: 4.0683 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5148 loss: 1.5148 2022/08/09 07:24:55 - mmengine - INFO - Epoch(train) [44][1620/1879] lr: 2.0000e-02 eta: 17:25:14 time: 0.5723 data_time: 0.0255 memory: 13723 grad_norm: 3.9939 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4579 loss: 1.4579 2022/08/09 07:25:07 - mmengine - INFO - Epoch(train) [44][1640/1879] lr: 2.0000e-02 eta: 17:25:02 time: 0.5562 data_time: 0.0204 memory: 13723 grad_norm: 4.0115 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4948 loss: 1.4948 2022/08/09 07:25:20 - mmengine - INFO - Epoch(train) [44][1660/1879] lr: 2.0000e-02 eta: 17:24:52 time: 0.6678 data_time: 0.0843 memory: 13723 grad_norm: 4.0117 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4891 loss: 1.4891 2022/08/09 07:25:32 - mmengine - INFO - Epoch(train) [44][1680/1879] lr: 2.0000e-02 eta: 17:24:39 time: 0.5884 data_time: 0.0278 memory: 13723 grad_norm: 3.9106 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4073 loss: 1.4073 2022/08/09 07:25:43 - mmengine - INFO - Epoch(train) [44][1700/1879] lr: 2.0000e-02 eta: 17:24:27 time: 0.5863 data_time: 0.0260 memory: 13723 grad_norm: 3.8929 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3264 loss: 1.3264 2022/08/09 07:25:56 - mmengine - INFO - Epoch(train) [44][1720/1879] lr: 2.0000e-02 eta: 17:24:16 time: 0.6112 data_time: 0.0308 memory: 13723 grad_norm: 3.9555 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4297 loss: 1.4297 2022/08/09 07:26:07 - mmengine - INFO - Epoch(train) [44][1740/1879] lr: 2.0000e-02 eta: 17:24:04 time: 0.5823 data_time: 0.0239 memory: 13723 grad_norm: 3.9955 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3550 loss: 1.3550 2022/08/09 07:26:19 - mmengine - INFO - Epoch(train) [44][1760/1879] lr: 2.0000e-02 eta: 17:23:51 time: 0.5760 data_time: 0.0242 memory: 13723 grad_norm: 4.0128 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6038 loss: 1.6038 2022/08/09 07:26:30 - mmengine - INFO - Epoch(train) [44][1780/1879] lr: 2.0000e-02 eta: 17:23:39 time: 0.5645 data_time: 0.0250 memory: 13723 grad_norm: 3.8638 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4428 loss: 1.4428 2022/08/09 07:26:41 - mmengine - INFO - Epoch(train) [44][1800/1879] lr: 2.0000e-02 eta: 17:23:26 time: 0.5609 data_time: 0.0234 memory: 13723 grad_norm: 3.9309 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3097 loss: 1.3097 2022/08/09 07:26:53 - mmengine - INFO - Epoch(train) [44][1820/1879] lr: 2.0000e-02 eta: 17:23:13 time: 0.5631 data_time: 0.0236 memory: 13723 grad_norm: 3.9392 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4461 loss: 1.4461 2022/08/09 07:27:04 - mmengine - INFO - Epoch(train) [44][1840/1879] lr: 2.0000e-02 eta: 17:23:01 time: 0.5646 data_time: 0.0262 memory: 13723 grad_norm: 3.9218 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3714 loss: 1.3714 2022/08/09 07:27:15 - mmengine - INFO - Epoch(train) [44][1860/1879] lr: 2.0000e-02 eta: 17:22:48 time: 0.5636 data_time: 0.0229 memory: 13723 grad_norm: 3.8903 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2947 loss: 1.2947 2022/08/09 07:27:25 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 07:27:25 - mmengine - INFO - Epoch(train) [44][1879/1879] lr: 2.0000e-02 eta: 17:22:48 time: 0.5304 data_time: 0.0200 memory: 13723 grad_norm: 4.0587 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.3003 loss: 1.3003 2022/08/09 07:27:39 - mmengine - INFO - Epoch(val) [44][20/155] eta: 0:01:30 time: 0.6716 data_time: 0.5301 memory: 1829 2022/08/09 07:27:48 - mmengine - INFO - Epoch(val) [44][40/155] eta: 0:00:52 time: 0.4569 data_time: 0.3174 memory: 1829 2022/08/09 07:28:00 - mmengine - INFO - Epoch(val) [44][60/155] eta: 0:00:58 time: 0.6172 data_time: 0.4762 memory: 1829 2022/08/09 07:28:10 - mmengine - INFO - Epoch(val) [44][80/155] eta: 0:00:34 time: 0.4577 data_time: 0.3171 memory: 1829 2022/08/09 07:28:22 - mmengine - INFO - Epoch(val) [44][100/155] eta: 0:00:35 time: 0.6365 data_time: 0.4946 memory: 1829 2022/08/09 07:28:32 - mmengine - INFO - Epoch(val) [44][120/155] eta: 0:00:16 time: 0.4669 data_time: 0.3271 memory: 1829 2022/08/09 07:28:45 - mmengine - INFO - Epoch(val) [44][140/155] eta: 0:00:10 time: 0.6741 data_time: 0.5340 memory: 1829 2022/08/09 07:28:52 - mmengine - INFO - Epoch(val) [44][155/155] acc/top1: 0.6323 acc/top5: 0.8532 acc/mean1: 0.6321 2022/08/09 07:29:08 - mmengine - INFO - Epoch(train) [45][20/1879] lr: 2.0000e-02 eta: 17:22:16 time: 0.7988 data_time: 0.1998 memory: 13723 grad_norm: 3.8590 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2062 loss: 1.2062 2022/08/09 07:29:20 - mmengine - INFO - Epoch(train) [45][40/1879] lr: 2.0000e-02 eta: 17:22:03 time: 0.5729 data_time: 0.0248 memory: 13723 grad_norm: 3.8976 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5393 loss: 1.5393 2022/08/09 07:29:31 - mmengine - INFO - Epoch(train) [45][60/1879] lr: 2.0000e-02 eta: 17:21:51 time: 0.5785 data_time: 0.0272 memory: 13723 grad_norm: 3.7925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0985 loss: 1.0985 2022/08/09 07:29:43 - mmengine - INFO - Epoch(train) [45][80/1879] lr: 2.0000e-02 eta: 17:21:38 time: 0.5750 data_time: 0.0230 memory: 13723 grad_norm: 3.8817 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2811 loss: 1.2811 2022/08/09 07:29:54 - mmengine - INFO - Epoch(train) [45][100/1879] lr: 2.0000e-02 eta: 17:21:26 time: 0.5684 data_time: 0.0228 memory: 13723 grad_norm: 4.0415 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2938 loss: 1.2938 2022/08/09 07:30:06 - mmengine - INFO - Epoch(train) [45][120/1879] lr: 2.0000e-02 eta: 17:21:13 time: 0.5711 data_time: 0.0253 memory: 13723 grad_norm: 4.0185 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3760 loss: 1.3760 2022/08/09 07:30:17 - mmengine - INFO - Epoch(train) [45][140/1879] lr: 2.0000e-02 eta: 17:21:01 time: 0.5779 data_time: 0.0269 memory: 13723 grad_norm: 4.0680 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2165 loss: 1.2165 2022/08/09 07:30:29 - mmengine - INFO - Epoch(train) [45][160/1879] lr: 2.0000e-02 eta: 17:20:49 time: 0.5706 data_time: 0.0234 memory: 13723 grad_norm: 3.9931 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2295 loss: 1.2295 2022/08/09 07:30:40 - mmengine - INFO - Epoch(train) [45][180/1879] lr: 2.0000e-02 eta: 17:20:36 time: 0.5792 data_time: 0.0278 memory: 13723 grad_norm: 3.9228 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3125 loss: 1.3125 2022/08/09 07:30:52 - mmengine - INFO - Epoch(train) [45][200/1879] lr: 2.0000e-02 eta: 17:20:24 time: 0.5732 data_time: 0.0231 memory: 13723 grad_norm: 3.9584 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3462 loss: 1.3462 2022/08/09 07:31:03 - mmengine - INFO - Epoch(train) [45][220/1879] lr: 2.0000e-02 eta: 17:20:11 time: 0.5660 data_time: 0.0253 memory: 13723 grad_norm: 3.8410 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2683 loss: 1.2683 2022/08/09 07:31:14 - mmengine - INFO - Epoch(train) [45][240/1879] lr: 2.0000e-02 eta: 17:19:59 time: 0.5615 data_time: 0.0245 memory: 13723 grad_norm: 3.9913 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5321 loss: 1.5321 2022/08/09 07:31:26 - mmengine - INFO - Epoch(train) [45][260/1879] lr: 2.0000e-02 eta: 17:19:46 time: 0.5635 data_time: 0.0230 memory: 13723 grad_norm: 4.0121 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5087 loss: 1.5087 2022/08/09 07:31:37 - mmengine - INFO - Epoch(train) [45][280/1879] lr: 2.0000e-02 eta: 17:19:33 time: 0.5665 data_time: 0.0240 memory: 13723 grad_norm: 4.0052 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3363 loss: 1.3363 2022/08/09 07:31:48 - mmengine - INFO - Epoch(train) [45][300/1879] lr: 2.0000e-02 eta: 17:19:21 time: 0.5658 data_time: 0.0237 memory: 13723 grad_norm: 4.0568 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3985 loss: 1.3985 2022/08/09 07:32:00 - mmengine - INFO - Epoch(train) [45][320/1879] lr: 2.0000e-02 eta: 17:19:08 time: 0.5752 data_time: 0.0390 memory: 13723 grad_norm: 3.9934 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3417 loss: 1.3417 2022/08/09 07:32:02 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 07:32:11 - mmengine - INFO - Epoch(train) [45][340/1879] lr: 2.0000e-02 eta: 17:18:56 time: 0.5592 data_time: 0.0234 memory: 13723 grad_norm: 4.0081 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4476 loss: 1.4476 2022/08/09 07:32:22 - mmengine - INFO - Epoch(train) [45][360/1879] lr: 2.0000e-02 eta: 17:18:43 time: 0.5642 data_time: 0.0244 memory: 13723 grad_norm: 3.9936 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1561 loss: 1.1561 2022/08/09 07:32:34 - mmengine - INFO - Epoch(train) [45][380/1879] lr: 2.0000e-02 eta: 17:18:31 time: 0.5761 data_time: 0.0250 memory: 13723 grad_norm: 3.9374 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3867 loss: 1.3867 2022/08/09 07:32:46 - mmengine - INFO - Epoch(train) [45][400/1879] lr: 2.0000e-02 eta: 17:18:18 time: 0.5577 data_time: 0.0237 memory: 13723 grad_norm: 3.9294 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3422 loss: 1.3422 2022/08/09 07:32:57 - mmengine - INFO - Epoch(train) [45][420/1879] lr: 2.0000e-02 eta: 17:18:06 time: 0.5796 data_time: 0.0445 memory: 13723 grad_norm: 3.9714 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4500 loss: 1.4500 2022/08/09 07:33:08 - mmengine - INFO - Epoch(train) [45][440/1879] lr: 2.0000e-02 eta: 17:17:53 time: 0.5738 data_time: 0.0255 memory: 13723 grad_norm: 3.9310 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3688 loss: 1.3688 2022/08/09 07:33:20 - mmengine - INFO - Epoch(train) [45][460/1879] lr: 2.0000e-02 eta: 17:17:41 time: 0.5696 data_time: 0.0258 memory: 13723 grad_norm: 3.9501 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3298 loss: 1.3298 2022/08/09 07:33:31 - mmengine - INFO - Epoch(train) [45][480/1879] lr: 2.0000e-02 eta: 17:17:28 time: 0.5601 data_time: 0.0238 memory: 13723 grad_norm: 3.9846 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6137 loss: 1.6137 2022/08/09 07:33:42 - mmengine - INFO - Epoch(train) [45][500/1879] lr: 2.0000e-02 eta: 17:17:15 time: 0.5731 data_time: 0.0247 memory: 13723 grad_norm: 3.8874 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3125 loss: 1.3125 2022/08/09 07:33:54 - mmengine - INFO - Epoch(train) [45][520/1879] lr: 2.0000e-02 eta: 17:17:03 time: 0.5662 data_time: 0.0269 memory: 13723 grad_norm: 3.9256 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4393 loss: 1.4393 2022/08/09 07:34:05 - mmengine - INFO - Epoch(train) [45][540/1879] lr: 2.0000e-02 eta: 17:16:50 time: 0.5708 data_time: 0.0256 memory: 13723 grad_norm: 3.9806 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4288 loss: 1.4288 2022/08/09 07:34:16 - mmengine - INFO - Epoch(train) [45][560/1879] lr: 2.0000e-02 eta: 17:16:38 time: 0.5646 data_time: 0.0243 memory: 13723 grad_norm: 3.9036 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4142 loss: 1.4142 2022/08/09 07:34:28 - mmengine - INFO - Epoch(train) [45][580/1879] lr: 2.0000e-02 eta: 17:16:25 time: 0.5653 data_time: 0.0268 memory: 13723 grad_norm: 3.8517 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2823 loss: 1.2823 2022/08/09 07:34:39 - mmengine - INFO - Epoch(train) [45][600/1879] lr: 2.0000e-02 eta: 17:16:13 time: 0.5649 data_time: 0.0251 memory: 13723 grad_norm: 4.0043 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3147 loss: 1.3147 2022/08/09 07:34:50 - mmengine - INFO - Epoch(train) [45][620/1879] lr: 2.0000e-02 eta: 17:16:00 time: 0.5650 data_time: 0.0247 memory: 13723 grad_norm: 4.0401 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3477 loss: 1.3477 2022/08/09 07:35:02 - mmengine - INFO - Epoch(train) [45][640/1879] lr: 2.0000e-02 eta: 17:15:47 time: 0.5659 data_time: 0.0229 memory: 13723 grad_norm: 3.9343 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2353 loss: 1.2353 2022/08/09 07:35:13 - mmengine - INFO - Epoch(train) [45][660/1879] lr: 2.0000e-02 eta: 17:15:35 time: 0.5658 data_time: 0.0238 memory: 13723 grad_norm: 4.0859 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3655 loss: 1.3655 2022/08/09 07:35:24 - mmengine - INFO - Epoch(train) [45][680/1879] lr: 2.0000e-02 eta: 17:15:22 time: 0.5755 data_time: 0.0255 memory: 13723 grad_norm: 3.9772 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2635 loss: 1.2635 2022/08/09 07:35:36 - mmengine - INFO - Epoch(train) [45][700/1879] lr: 2.0000e-02 eta: 17:15:10 time: 0.5842 data_time: 0.0297 memory: 13723 grad_norm: 3.9788 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3641 loss: 1.3641 2022/08/09 07:35:48 - mmengine - INFO - Epoch(train) [45][720/1879] lr: 2.0000e-02 eta: 17:14:58 time: 0.5897 data_time: 0.0259 memory: 13723 grad_norm: 4.0409 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3645 loss: 1.3645 2022/08/09 07:36:00 - mmengine - INFO - Epoch(train) [45][740/1879] lr: 2.0000e-02 eta: 17:14:46 time: 0.5813 data_time: 0.0246 memory: 13723 grad_norm: 4.0015 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4454 loss: 1.4454 2022/08/09 07:36:11 - mmengine - INFO - Epoch(train) [45][760/1879] lr: 2.0000e-02 eta: 17:14:33 time: 0.5681 data_time: 0.0280 memory: 13723 grad_norm: 3.9797 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6707 loss: 1.6707 2022/08/09 07:36:22 - mmengine - INFO - Epoch(train) [45][780/1879] lr: 2.0000e-02 eta: 17:14:21 time: 0.5613 data_time: 0.0249 memory: 13723 grad_norm: 4.1196 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5555 loss: 1.5555 2022/08/09 07:36:34 - mmengine - INFO - Epoch(train) [45][800/1879] lr: 2.0000e-02 eta: 17:14:08 time: 0.5746 data_time: 0.0235 memory: 13723 grad_norm: 4.0617 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4938 loss: 1.4938 2022/08/09 07:36:45 - mmengine - INFO - Epoch(train) [45][820/1879] lr: 2.0000e-02 eta: 17:13:56 time: 0.5586 data_time: 0.0220 memory: 13723 grad_norm: 4.0989 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3009 loss: 1.3009 2022/08/09 07:36:56 - mmengine - INFO - Epoch(train) [45][840/1879] lr: 2.0000e-02 eta: 17:13:43 time: 0.5636 data_time: 0.0235 memory: 13723 grad_norm: 4.0886 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5046 loss: 1.5046 2022/08/09 07:37:07 - mmengine - INFO - Epoch(train) [45][860/1879] lr: 2.0000e-02 eta: 17:13:30 time: 0.5632 data_time: 0.0238 memory: 13723 grad_norm: 3.8648 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2865 loss: 1.2865 2022/08/09 07:37:19 - mmengine - INFO - Epoch(train) [45][880/1879] lr: 2.0000e-02 eta: 17:13:18 time: 0.5649 data_time: 0.0246 memory: 13723 grad_norm: 3.9101 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3900 loss: 1.3900 2022/08/09 07:37:30 - mmengine - INFO - Epoch(train) [45][900/1879] lr: 2.0000e-02 eta: 17:13:05 time: 0.5681 data_time: 0.0270 memory: 13723 grad_norm: 4.0492 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5516 loss: 1.5516 2022/08/09 07:37:41 - mmengine - INFO - Epoch(train) [45][920/1879] lr: 2.0000e-02 eta: 17:12:52 time: 0.5574 data_time: 0.0238 memory: 13723 grad_norm: 4.0226 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3000 loss: 1.3000 2022/08/09 07:37:53 - mmengine - INFO - Epoch(train) [45][940/1879] lr: 2.0000e-02 eta: 17:12:40 time: 0.5710 data_time: 0.0240 memory: 13723 grad_norm: 4.1091 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4802 loss: 1.4802 2022/08/09 07:38:04 - mmengine - INFO - Epoch(train) [45][960/1879] lr: 2.0000e-02 eta: 17:12:27 time: 0.5691 data_time: 0.0249 memory: 13723 grad_norm: 3.9155 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4572 loss: 1.4572 2022/08/09 07:38:16 - mmengine - INFO - Epoch(train) [45][980/1879] lr: 2.0000e-02 eta: 17:12:15 time: 0.5692 data_time: 0.0238 memory: 13723 grad_norm: 4.0415 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3938 loss: 1.3938 2022/08/09 07:38:27 - mmengine - INFO - Epoch(train) [45][1000/1879] lr: 2.0000e-02 eta: 17:12:02 time: 0.5716 data_time: 0.0278 memory: 13723 grad_norm: 4.1253 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2102 loss: 1.2102 2022/08/09 07:38:38 - mmengine - INFO - Epoch(train) [45][1020/1879] lr: 2.0000e-02 eta: 17:11:50 time: 0.5618 data_time: 0.0234 memory: 13723 grad_norm: 3.9214 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.3421 loss: 1.3421 2022/08/09 07:38:50 - mmengine - INFO - Epoch(train) [45][1040/1879] lr: 2.0000e-02 eta: 17:11:37 time: 0.5720 data_time: 0.0252 memory: 13723 grad_norm: 3.9623 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4298 loss: 1.4298 2022/08/09 07:39:01 - mmengine - INFO - Epoch(train) [45][1060/1879] lr: 2.0000e-02 eta: 17:11:25 time: 0.5633 data_time: 0.0245 memory: 13723 grad_norm: 3.8840 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3255 loss: 1.3255 2022/08/09 07:39:12 - mmengine - INFO - Epoch(train) [45][1080/1879] lr: 2.0000e-02 eta: 17:11:12 time: 0.5608 data_time: 0.0242 memory: 13723 grad_norm: 3.9758 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4702 loss: 1.4702 2022/08/09 07:39:23 - mmengine - INFO - Epoch(train) [45][1100/1879] lr: 2.0000e-02 eta: 17:10:59 time: 0.5618 data_time: 0.0249 memory: 13723 grad_norm: 4.0893 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3698 loss: 1.3698 2022/08/09 07:39:35 - mmengine - INFO - Epoch(train) [45][1120/1879] lr: 2.0000e-02 eta: 17:10:47 time: 0.5708 data_time: 0.0243 memory: 13723 grad_norm: 3.9413 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2566 loss: 1.2566 2022/08/09 07:39:46 - mmengine - INFO - Epoch(train) [45][1140/1879] lr: 2.0000e-02 eta: 17:10:34 time: 0.5607 data_time: 0.0228 memory: 13723 grad_norm: 3.9603 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4133 loss: 1.4133 2022/08/09 07:39:57 - mmengine - INFO - Epoch(train) [45][1160/1879] lr: 2.0000e-02 eta: 17:10:21 time: 0.5624 data_time: 0.0262 memory: 13723 grad_norm: 3.9696 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5897 loss: 1.5897 2022/08/09 07:40:09 - mmengine - INFO - Epoch(train) [45][1180/1879] lr: 2.0000e-02 eta: 17:10:09 time: 0.5859 data_time: 0.0242 memory: 13723 grad_norm: 3.9434 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3215 loss: 1.3215 2022/08/09 07:40:23 - mmengine - INFO - Epoch(train) [45][1200/1879] lr: 2.0000e-02 eta: 17:10:00 time: 0.6899 data_time: 0.0260 memory: 13723 grad_norm: 4.0539 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4628 loss: 1.4628 2022/08/09 07:40:35 - mmengine - INFO - Epoch(train) [45][1220/1879] lr: 2.0000e-02 eta: 17:09:48 time: 0.5994 data_time: 0.0278 memory: 13723 grad_norm: 3.9361 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4010 loss: 1.4010 2022/08/09 07:40:47 - mmengine - INFO - Epoch(train) [45][1240/1879] lr: 2.0000e-02 eta: 17:09:37 time: 0.6070 data_time: 0.0527 memory: 13723 grad_norm: 3.8885 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4412 loss: 1.4412 2022/08/09 07:40:58 - mmengine - INFO - Epoch(train) [45][1260/1879] lr: 2.0000e-02 eta: 17:09:24 time: 0.5682 data_time: 0.0242 memory: 13723 grad_norm: 3.9748 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2978 loss: 1.2978 2022/08/09 07:41:10 - mmengine - INFO - Epoch(train) [45][1280/1879] lr: 2.0000e-02 eta: 17:09:11 time: 0.5648 data_time: 0.0256 memory: 13723 grad_norm: 3.9726 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2413 loss: 1.2413 2022/08/09 07:41:21 - mmengine - INFO - Epoch(train) [45][1300/1879] lr: 2.0000e-02 eta: 17:08:59 time: 0.5602 data_time: 0.0239 memory: 13723 grad_norm: 4.0400 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5130 loss: 1.5130 2022/08/09 07:41:32 - mmengine - INFO - Epoch(train) [45][1320/1879] lr: 2.0000e-02 eta: 17:08:46 time: 0.5638 data_time: 0.0230 memory: 13723 grad_norm: 4.0159 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3957 loss: 1.3957 2022/08/09 07:41:35 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 07:41:43 - mmengine - INFO - Epoch(train) [45][1340/1879] lr: 2.0000e-02 eta: 17:08:33 time: 0.5625 data_time: 0.0260 memory: 13723 grad_norm: 3.9071 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4557 loss: 1.4557 2022/08/09 07:41:55 - mmengine - INFO - Epoch(train) [45][1360/1879] lr: 2.0000e-02 eta: 17:08:21 time: 0.5618 data_time: 0.0242 memory: 13723 grad_norm: 4.0126 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5536 loss: 1.5536 2022/08/09 07:42:06 - mmengine - INFO - Epoch(train) [45][1380/1879] lr: 2.0000e-02 eta: 17:08:08 time: 0.5623 data_time: 0.0250 memory: 13723 grad_norm: 4.0535 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5327 loss: 1.5327 2022/08/09 07:42:17 - mmengine - INFO - Epoch(train) [45][1400/1879] lr: 2.0000e-02 eta: 17:07:55 time: 0.5638 data_time: 0.0236 memory: 13723 grad_norm: 3.9809 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4115 loss: 1.4115 2022/08/09 07:42:28 - mmengine - INFO - Epoch(train) [45][1420/1879] lr: 2.0000e-02 eta: 17:07:43 time: 0.5607 data_time: 0.0235 memory: 13723 grad_norm: 3.8585 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5469 loss: 1.5469 2022/08/09 07:42:40 - mmengine - INFO - Epoch(train) [45][1440/1879] lr: 2.0000e-02 eta: 17:07:30 time: 0.5621 data_time: 0.0236 memory: 13723 grad_norm: 3.8622 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3190 loss: 1.3190 2022/08/09 07:42:51 - mmengine - INFO - Epoch(train) [45][1460/1879] lr: 2.0000e-02 eta: 17:07:17 time: 0.5666 data_time: 0.0252 memory: 13723 grad_norm: 4.0706 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6711 loss: 1.6711 2022/08/09 07:43:02 - mmengine - INFO - Epoch(train) [45][1480/1879] lr: 2.0000e-02 eta: 17:07:05 time: 0.5602 data_time: 0.0225 memory: 13723 grad_norm: 3.9645 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4002 loss: 1.4002 2022/08/09 07:43:14 - mmengine - INFO - Epoch(train) [45][1500/1879] lr: 2.0000e-02 eta: 17:06:52 time: 0.5646 data_time: 0.0245 memory: 13723 grad_norm: 3.9258 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1179 loss: 1.1179 2022/08/09 07:43:25 - mmengine - INFO - Epoch(train) [45][1520/1879] lr: 2.0000e-02 eta: 17:06:40 time: 0.5665 data_time: 0.0241 memory: 13723 grad_norm: 3.9765 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.3821 loss: 1.3821 2022/08/09 07:43:36 - mmengine - INFO - Epoch(train) [45][1540/1879] lr: 2.0000e-02 eta: 17:06:27 time: 0.5606 data_time: 0.0234 memory: 13723 grad_norm: 4.1028 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3378 loss: 1.3378 2022/08/09 07:43:47 - mmengine - INFO - Epoch(train) [45][1560/1879] lr: 2.0000e-02 eta: 17:06:14 time: 0.5634 data_time: 0.0240 memory: 13723 grad_norm: 4.0658 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6459 loss: 1.6459 2022/08/09 07:43:59 - mmengine - INFO - Epoch(train) [45][1580/1879] lr: 2.0000e-02 eta: 17:06:02 time: 0.5631 data_time: 0.0263 memory: 13723 grad_norm: 3.9710 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3640 loss: 1.3640 2022/08/09 07:44:10 - mmengine - INFO - Epoch(train) [45][1600/1879] lr: 2.0000e-02 eta: 17:05:49 time: 0.5664 data_time: 0.0259 memory: 13723 grad_norm: 4.0812 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3360 loss: 1.3360 2022/08/09 07:44:21 - mmengine - INFO - Epoch(train) [45][1620/1879] lr: 2.0000e-02 eta: 17:05:37 time: 0.5685 data_time: 0.0226 memory: 13723 grad_norm: 4.0307 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3206 loss: 1.3206 2022/08/09 07:44:33 - mmengine - INFO - Epoch(train) [45][1640/1879] lr: 2.0000e-02 eta: 17:05:24 time: 0.5611 data_time: 0.0237 memory: 13723 grad_norm: 4.0058 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3949 loss: 1.3949 2022/08/09 07:44:44 - mmengine - INFO - Epoch(train) [45][1660/1879] lr: 2.0000e-02 eta: 17:05:11 time: 0.5625 data_time: 0.0242 memory: 13723 grad_norm: 4.0838 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4784 loss: 1.4784 2022/08/09 07:44:56 - mmengine - INFO - Epoch(train) [45][1680/1879] lr: 2.0000e-02 eta: 17:04:59 time: 0.5780 data_time: 0.0243 memory: 13723 grad_norm: 4.0791 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5858 loss: 1.5858 2022/08/09 07:45:07 - mmengine - INFO - Epoch(train) [45][1700/1879] lr: 2.0000e-02 eta: 17:04:46 time: 0.5684 data_time: 0.0201 memory: 13723 grad_norm: 4.1415 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4866 loss: 1.4866 2022/08/09 07:45:18 - mmengine - INFO - Epoch(train) [45][1720/1879] lr: 2.0000e-02 eta: 17:04:34 time: 0.5681 data_time: 0.0247 memory: 13723 grad_norm: 4.0146 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4637 loss: 1.4637 2022/08/09 07:45:30 - mmengine - INFO - Epoch(train) [45][1740/1879] lr: 2.0000e-02 eta: 17:04:22 time: 0.5784 data_time: 0.0270 memory: 13723 grad_norm: 3.9647 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3226 loss: 1.3226 2022/08/09 07:45:42 - mmengine - INFO - Epoch(train) [45][1760/1879] lr: 2.0000e-02 eta: 17:04:10 time: 0.5821 data_time: 0.0261 memory: 13723 grad_norm: 3.9940 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4387 loss: 1.4387 2022/08/09 07:45:53 - mmengine - INFO - Epoch(train) [45][1780/1879] lr: 2.0000e-02 eta: 17:03:57 time: 0.5718 data_time: 0.0229 memory: 13723 grad_norm: 4.1160 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2528 loss: 1.2528 2022/08/09 07:46:04 - mmengine - INFO - Epoch(train) [45][1800/1879] lr: 2.0000e-02 eta: 17:03:45 time: 0.5665 data_time: 0.0235 memory: 13723 grad_norm: 4.0632 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5086 loss: 1.5086 2022/08/09 07:46:16 - mmengine - INFO - Epoch(train) [45][1820/1879] lr: 2.0000e-02 eta: 17:03:32 time: 0.5678 data_time: 0.0236 memory: 13723 grad_norm: 4.0352 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4078 loss: 1.4078 2022/08/09 07:46:27 - mmengine - INFO - Epoch(train) [45][1840/1879] lr: 2.0000e-02 eta: 17:03:19 time: 0.5628 data_time: 0.0243 memory: 13723 grad_norm: 3.9352 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3333 loss: 1.3333 2022/08/09 07:46:38 - mmengine - INFO - Epoch(train) [45][1860/1879] lr: 2.0000e-02 eta: 17:03:07 time: 0.5713 data_time: 0.0237 memory: 13723 grad_norm: 3.9236 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3653 loss: 1.3653 2022/08/09 07:46:48 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 07:46:48 - mmengine - INFO - Epoch(train) [45][1879/1879] lr: 2.0000e-02 eta: 17:03:07 time: 0.5268 data_time: 0.0177 memory: 13723 grad_norm: 3.9487 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.2824 loss: 1.2824 2022/08/09 07:46:48 - mmengine - INFO - Saving checkpoint at 45 epochs 2022/08/09 07:47:03 - mmengine - INFO - Epoch(val) [45][20/155] eta: 0:01:28 time: 0.6576 data_time: 0.5165 memory: 1829 2022/08/09 07:47:12 - mmengine - INFO - Epoch(val) [45][40/155] eta: 0:00:53 time: 0.4627 data_time: 0.3225 memory: 1829 2022/08/09 07:47:24 - mmengine - INFO - Epoch(val) [45][60/155] eta: 0:00:55 time: 0.5824 data_time: 0.4427 memory: 1829 2022/08/09 07:47:33 - mmengine - INFO - Epoch(val) [45][80/155] eta: 0:00:35 time: 0.4671 data_time: 0.3279 memory: 1829 2022/08/09 07:47:45 - mmengine - INFO - Epoch(val) [45][100/155] eta: 0:00:32 time: 0.5987 data_time: 0.4574 memory: 1829 2022/08/09 07:47:56 - mmengine - INFO - Epoch(val) [45][120/155] eta: 0:00:17 time: 0.5114 data_time: 0.3726 memory: 1829 2022/08/09 07:48:08 - mmengine - INFO - Epoch(val) [45][140/155] eta: 0:00:09 time: 0.6326 data_time: 0.4942 memory: 1829 2022/08/09 07:48:16 - mmengine - INFO - Epoch(val) [45][155/155] acc/top1: 0.6404 acc/top5: 0.8593 acc/mean1: 0.6404 2022/08/09 07:48:16 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_42.pth is removed 2022/08/09 07:48:17 - mmengine - INFO - The best checkpoint with 0.6404 acc/top1 at 46 epoch is saved to best_acc/top1_epoch_46.pth. 2022/08/09 07:48:32 - mmengine - INFO - Epoch(train) [46][20/1879] lr: 2.0000e-02 eta: 17:02:34 time: 0.7691 data_time: 0.2194 memory: 13723 grad_norm: 3.9256 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2510 loss: 1.2510 2022/08/09 07:48:44 - mmengine - INFO - Epoch(train) [46][40/1879] lr: 2.0000e-02 eta: 17:02:22 time: 0.5853 data_time: 0.0277 memory: 13723 grad_norm: 3.9190 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3766 loss: 1.3766 2022/08/09 07:48:55 - mmengine - INFO - Epoch(train) [46][60/1879] lr: 2.0000e-02 eta: 17:02:10 time: 0.5732 data_time: 0.0276 memory: 13723 grad_norm: 3.8903 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2420 loss: 1.2420 2022/08/09 07:49:07 - mmengine - INFO - Epoch(train) [46][80/1879] lr: 2.0000e-02 eta: 17:01:57 time: 0.5680 data_time: 0.0255 memory: 13723 grad_norm: 3.9342 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2257 loss: 1.2257 2022/08/09 07:49:18 - mmengine - INFO - Epoch(train) [46][100/1879] lr: 2.0000e-02 eta: 17:01:45 time: 0.5653 data_time: 0.0236 memory: 13723 grad_norm: 3.9693 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.3822 loss: 1.3822 2022/08/09 07:49:29 - mmengine - INFO - Epoch(train) [46][120/1879] lr: 2.0000e-02 eta: 17:01:32 time: 0.5730 data_time: 0.0219 memory: 13723 grad_norm: 3.9472 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2814 loss: 1.2814 2022/08/09 07:49:41 - mmengine - INFO - Epoch(train) [46][140/1879] lr: 2.0000e-02 eta: 17:01:20 time: 0.5659 data_time: 0.0238 memory: 13723 grad_norm: 3.9275 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2020 loss: 1.2020 2022/08/09 07:49:52 - mmengine - INFO - Epoch(train) [46][160/1879] lr: 2.0000e-02 eta: 17:01:07 time: 0.5596 data_time: 0.0241 memory: 13723 grad_norm: 4.0334 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3687 loss: 1.3687 2022/08/09 07:50:03 - mmengine - INFO - Epoch(train) [46][180/1879] lr: 2.0000e-02 eta: 17:00:54 time: 0.5638 data_time: 0.0264 memory: 13723 grad_norm: 3.9870 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3654 loss: 1.3654 2022/08/09 07:50:16 - mmengine - INFO - Epoch(train) [46][200/1879] lr: 2.0000e-02 eta: 17:00:44 time: 0.6479 data_time: 0.0288 memory: 13723 grad_norm: 3.9256 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4211 loss: 1.4211 2022/08/09 07:50:29 - mmengine - INFO - Epoch(train) [46][220/1879] lr: 2.0000e-02 eta: 17:00:33 time: 0.6161 data_time: 0.0272 memory: 13723 grad_norm: 4.0175 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0238 loss: 1.0238 2022/08/09 07:50:41 - mmengine - INFO - Epoch(train) [46][240/1879] lr: 2.0000e-02 eta: 17:00:21 time: 0.6050 data_time: 0.0298 memory: 13723 grad_norm: 3.9492 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4225 loss: 1.4225 2022/08/09 07:50:52 - mmengine - INFO - Epoch(train) [46][260/1879] lr: 2.0000e-02 eta: 17:00:09 time: 0.5827 data_time: 0.0243 memory: 13723 grad_norm: 4.0092 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4818 loss: 1.4818 2022/08/09 07:51:04 - mmengine - INFO - Epoch(train) [46][280/1879] lr: 2.0000e-02 eta: 16:59:57 time: 0.6034 data_time: 0.0276 memory: 13723 grad_norm: 3.8920 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2698 loss: 1.2698 2022/08/09 07:51:16 - mmengine - INFO - Epoch(train) [46][300/1879] lr: 2.0000e-02 eta: 16:59:45 time: 0.5674 data_time: 0.0231 memory: 13723 grad_norm: 4.0215 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3550 loss: 1.3550 2022/08/09 07:51:27 - mmengine - INFO - Epoch(train) [46][320/1879] lr: 2.0000e-02 eta: 16:59:32 time: 0.5743 data_time: 0.0243 memory: 13723 grad_norm: 4.0374 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4773 loss: 1.4773 2022/08/09 07:51:39 - mmengine - INFO - Epoch(train) [46][340/1879] lr: 2.0000e-02 eta: 16:59:20 time: 0.5657 data_time: 0.0244 memory: 13723 grad_norm: 4.0243 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3453 loss: 1.3453 2022/08/09 07:51:50 - mmengine - INFO - Epoch(train) [46][360/1879] lr: 2.0000e-02 eta: 16:59:07 time: 0.5605 data_time: 0.0246 memory: 13723 grad_norm: 4.0069 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3474 loss: 1.3474 2022/08/09 07:52:01 - mmengine - INFO - Epoch(train) [46][380/1879] lr: 2.0000e-02 eta: 16:58:55 time: 0.5648 data_time: 0.0250 memory: 13723 grad_norm: 3.8382 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2851 loss: 1.2851 2022/08/09 07:52:12 - mmengine - INFO - Epoch(train) [46][400/1879] lr: 2.0000e-02 eta: 16:58:42 time: 0.5621 data_time: 0.0226 memory: 13723 grad_norm: 4.0009 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3356 loss: 1.3356 2022/08/09 07:52:24 - mmengine - INFO - Epoch(train) [46][420/1879] lr: 2.0000e-02 eta: 16:58:29 time: 0.5719 data_time: 0.0261 memory: 13723 grad_norm: 4.0537 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2941 loss: 1.2941 2022/08/09 07:52:35 - mmengine - INFO - Epoch(train) [46][440/1879] lr: 2.0000e-02 eta: 16:58:17 time: 0.5623 data_time: 0.0227 memory: 13723 grad_norm: 3.9349 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2621 loss: 1.2621 2022/08/09 07:52:38 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 07:52:46 - mmengine - INFO - Epoch(train) [46][460/1879] lr: 2.0000e-02 eta: 16:58:04 time: 0.5660 data_time: 0.0248 memory: 13723 grad_norm: 4.0148 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3902 loss: 1.3902 2022/08/09 07:52:58 - mmengine - INFO - Epoch(train) [46][480/1879] lr: 2.0000e-02 eta: 16:57:52 time: 0.5812 data_time: 0.0219 memory: 13723 grad_norm: 3.9877 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4369 loss: 1.4369 2022/08/09 07:53:09 - mmengine - INFO - Epoch(train) [46][500/1879] lr: 2.0000e-02 eta: 16:57:39 time: 0.5565 data_time: 0.0228 memory: 13723 grad_norm: 3.8702 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2881 loss: 1.2881 2022/08/09 07:53:21 - mmengine - INFO - Epoch(train) [46][520/1879] lr: 2.0000e-02 eta: 16:57:27 time: 0.5685 data_time: 0.0252 memory: 13723 grad_norm: 3.9672 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4973 loss: 1.4973 2022/08/09 07:53:32 - mmengine - INFO - Epoch(train) [46][540/1879] lr: 2.0000e-02 eta: 16:57:14 time: 0.5627 data_time: 0.0234 memory: 13723 grad_norm: 4.0554 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.3345 loss: 1.3345 2022/08/09 07:53:43 - mmengine - INFO - Epoch(train) [46][560/1879] lr: 2.0000e-02 eta: 16:57:02 time: 0.5675 data_time: 0.0240 memory: 13723 grad_norm: 4.0598 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4219 loss: 1.4219 2022/08/09 07:53:55 - mmengine - INFO - Epoch(train) [46][580/1879] lr: 2.0000e-02 eta: 16:56:49 time: 0.5630 data_time: 0.0237 memory: 13723 grad_norm: 3.8677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2930 loss: 1.2930 2022/08/09 07:54:06 - mmengine - INFO - Epoch(train) [46][600/1879] lr: 2.0000e-02 eta: 16:56:37 time: 0.5796 data_time: 0.0453 memory: 13723 grad_norm: 3.9926 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3801 loss: 1.3801 2022/08/09 07:54:17 - mmengine - INFO - Epoch(train) [46][620/1879] lr: 2.0000e-02 eta: 16:56:24 time: 0.5598 data_time: 0.0241 memory: 13723 grad_norm: 4.0432 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.4500 loss: 1.4500 2022/08/09 07:54:29 - mmengine - INFO - Epoch(train) [46][640/1879] lr: 2.0000e-02 eta: 16:56:12 time: 0.5623 data_time: 0.0236 memory: 13723 grad_norm: 3.8886 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5251 loss: 1.5251 2022/08/09 07:54:40 - mmengine - INFO - Epoch(train) [46][660/1879] lr: 2.0000e-02 eta: 16:55:59 time: 0.5608 data_time: 0.0239 memory: 13723 grad_norm: 3.9798 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1542 loss: 1.1542 2022/08/09 07:54:51 - mmengine - INFO - Epoch(train) [46][680/1879] lr: 2.0000e-02 eta: 16:55:46 time: 0.5673 data_time: 0.0243 memory: 13723 grad_norm: 4.1034 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4806 loss: 1.4806 2022/08/09 07:55:03 - mmengine - INFO - Epoch(train) [46][700/1879] lr: 2.0000e-02 eta: 16:55:34 time: 0.5662 data_time: 0.0235 memory: 13723 grad_norm: 4.0046 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5439 loss: 1.5439 2022/08/09 07:55:14 - mmengine - INFO - Epoch(train) [46][720/1879] lr: 2.0000e-02 eta: 16:55:22 time: 0.5730 data_time: 0.0220 memory: 13723 grad_norm: 4.0251 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4363 loss: 1.4363 2022/08/09 07:55:25 - mmengine - INFO - Epoch(train) [46][740/1879] lr: 2.0000e-02 eta: 16:55:09 time: 0.5717 data_time: 0.0239 memory: 13723 grad_norm: 3.9850 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3647 loss: 1.3647 2022/08/09 07:55:37 - mmengine - INFO - Epoch(train) [46][760/1879] lr: 2.0000e-02 eta: 16:54:57 time: 0.5812 data_time: 0.0241 memory: 13723 grad_norm: 4.0436 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2852 loss: 1.2852 2022/08/09 07:55:48 - mmengine - INFO - Epoch(train) [46][780/1879] lr: 2.0000e-02 eta: 16:54:44 time: 0.5592 data_time: 0.0235 memory: 13723 grad_norm: 3.9367 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2469 loss: 1.2469 2022/08/09 07:56:00 - mmengine - INFO - Epoch(train) [46][800/1879] lr: 2.0000e-02 eta: 16:54:32 time: 0.5651 data_time: 0.0276 memory: 13723 grad_norm: 3.9961 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2653 loss: 1.2653 2022/08/09 07:56:11 - mmengine - INFO - Epoch(train) [46][820/1879] lr: 2.0000e-02 eta: 16:54:19 time: 0.5637 data_time: 0.0233 memory: 13723 grad_norm: 4.0133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2729 loss: 1.2729 2022/08/09 07:56:23 - mmengine - INFO - Epoch(train) [46][840/1879] lr: 2.0000e-02 eta: 16:54:07 time: 0.5825 data_time: 0.0466 memory: 13723 grad_norm: 4.0888 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5282 loss: 1.5282 2022/08/09 07:56:34 - mmengine - INFO - Epoch(train) [46][860/1879] lr: 2.0000e-02 eta: 16:53:54 time: 0.5639 data_time: 0.0246 memory: 13723 grad_norm: 3.9716 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.2737 loss: 1.2737 2022/08/09 07:56:45 - mmengine - INFO - Epoch(train) [46][880/1879] lr: 2.0000e-02 eta: 16:53:42 time: 0.5690 data_time: 0.0272 memory: 13723 grad_norm: 4.0199 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.4219 loss: 1.4219 2022/08/09 07:56:57 - mmengine - INFO - Epoch(train) [46][900/1879] lr: 2.0000e-02 eta: 16:53:29 time: 0.5664 data_time: 0.0245 memory: 13723 grad_norm: 4.0381 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4756 loss: 1.4756 2022/08/09 07:57:08 - mmengine - INFO - Epoch(train) [46][920/1879] lr: 2.0000e-02 eta: 16:53:17 time: 0.5641 data_time: 0.0233 memory: 13723 grad_norm: 4.0341 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5618 loss: 1.5618 2022/08/09 07:57:19 - mmengine - INFO - Epoch(train) [46][940/1879] lr: 2.0000e-02 eta: 16:53:04 time: 0.5629 data_time: 0.0240 memory: 13723 grad_norm: 3.9745 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.3987 loss: 1.3987 2022/08/09 07:57:30 - mmengine - INFO - Epoch(train) [46][960/1879] lr: 2.0000e-02 eta: 16:52:52 time: 0.5651 data_time: 0.0245 memory: 13723 grad_norm: 4.0630 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3313 loss: 1.3313 2022/08/09 07:57:42 - mmengine - INFO - Epoch(train) [46][980/1879] lr: 2.0000e-02 eta: 16:52:39 time: 0.5676 data_time: 0.0243 memory: 13723 grad_norm: 4.1034 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3908 loss: 1.3908 2022/08/09 07:57:53 - mmengine - INFO - Epoch(train) [46][1000/1879] lr: 2.0000e-02 eta: 16:52:27 time: 0.5827 data_time: 0.0254 memory: 13723 grad_norm: 4.1215 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5173 loss: 1.5173 2022/08/09 07:58:05 - mmengine - INFO - Epoch(train) [46][1020/1879] lr: 2.0000e-02 eta: 16:52:15 time: 0.5686 data_time: 0.0274 memory: 13723 grad_norm: 3.9390 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3245 loss: 1.3245 2022/08/09 07:58:16 - mmengine - INFO - Epoch(train) [46][1040/1879] lr: 2.0000e-02 eta: 16:52:02 time: 0.5632 data_time: 0.0237 memory: 13723 grad_norm: 3.9666 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2863 loss: 1.2863 2022/08/09 07:58:27 - mmengine - INFO - Epoch(train) [46][1060/1879] lr: 2.0000e-02 eta: 16:51:49 time: 0.5657 data_time: 0.0246 memory: 13723 grad_norm: 3.9279 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5907 loss: 1.5907 2022/08/09 07:58:39 - mmengine - INFO - Epoch(train) [46][1080/1879] lr: 2.0000e-02 eta: 16:51:37 time: 0.5680 data_time: 0.0239 memory: 13723 grad_norm: 3.9402 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3254 loss: 1.3254 2022/08/09 07:58:50 - mmengine - INFO - Epoch(train) [46][1100/1879] lr: 2.0000e-02 eta: 16:51:24 time: 0.5686 data_time: 0.0271 memory: 13723 grad_norm: 4.1042 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2736 loss: 1.2736 2022/08/09 07:59:02 - mmengine - INFO - Epoch(train) [46][1120/1879] lr: 2.0000e-02 eta: 16:51:12 time: 0.5658 data_time: 0.0266 memory: 13723 grad_norm: 4.0849 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3592 loss: 1.3592 2022/08/09 07:59:13 - mmengine - INFO - Epoch(train) [46][1140/1879] lr: 2.0000e-02 eta: 16:51:00 time: 0.5723 data_time: 0.0277 memory: 13723 grad_norm: 4.0151 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4262 loss: 1.4262 2022/08/09 07:59:24 - mmengine - INFO - Epoch(train) [46][1160/1879] lr: 2.0000e-02 eta: 16:50:47 time: 0.5604 data_time: 0.0231 memory: 13723 grad_norm: 4.0271 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3224 loss: 1.3224 2022/08/09 07:59:36 - mmengine - INFO - Epoch(train) [46][1180/1879] lr: 2.0000e-02 eta: 16:50:34 time: 0.5673 data_time: 0.0241 memory: 13723 grad_norm: 4.0660 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4878 loss: 1.4878 2022/08/09 07:59:47 - mmengine - INFO - Epoch(train) [46][1200/1879] lr: 2.0000e-02 eta: 16:50:22 time: 0.5670 data_time: 0.0232 memory: 13723 grad_norm: 4.0310 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4609 loss: 1.4609 2022/08/09 07:59:58 - mmengine - INFO - Epoch(train) [46][1220/1879] lr: 2.0000e-02 eta: 16:50:09 time: 0.5679 data_time: 0.0250 memory: 13723 grad_norm: 3.8902 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6129 loss: 1.6129 2022/08/09 08:00:10 - mmengine - INFO - Epoch(train) [46][1240/1879] lr: 2.0000e-02 eta: 16:49:57 time: 0.5637 data_time: 0.0218 memory: 13723 grad_norm: 3.9809 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3944 loss: 1.3944 2022/08/09 08:00:22 - mmengine - INFO - Epoch(train) [46][1260/1879] lr: 2.0000e-02 eta: 16:49:45 time: 0.6011 data_time: 0.0480 memory: 13723 grad_norm: 3.9582 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6384 loss: 1.6384 2022/08/09 08:00:33 - mmengine - INFO - Epoch(train) [46][1280/1879] lr: 2.0000e-02 eta: 16:49:33 time: 0.5832 data_time: 0.0256 memory: 13723 grad_norm: 3.9463 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5116 loss: 1.5116 2022/08/09 08:00:45 - mmengine - INFO - Epoch(train) [46][1300/1879] lr: 2.0000e-02 eta: 16:49:22 time: 0.6076 data_time: 0.0281 memory: 13723 grad_norm: 4.0531 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3145 loss: 1.3145 2022/08/09 08:00:57 - mmengine - INFO - Epoch(train) [46][1320/1879] lr: 2.0000e-02 eta: 16:49:09 time: 0.5857 data_time: 0.0269 memory: 13723 grad_norm: 3.9656 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4161 loss: 1.4161 2022/08/09 08:01:09 - mmengine - INFO - Epoch(train) [46][1340/1879] lr: 2.0000e-02 eta: 16:48:57 time: 0.5837 data_time: 0.0255 memory: 13723 grad_norm: 3.9478 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5038 loss: 1.5038 2022/08/09 08:01:20 - mmengine - INFO - Epoch(train) [46][1360/1879] lr: 2.0000e-02 eta: 16:48:45 time: 0.5716 data_time: 0.0243 memory: 13723 grad_norm: 3.8864 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3927 loss: 1.3927 2022/08/09 08:01:32 - mmengine - INFO - Epoch(train) [46][1380/1879] lr: 2.0000e-02 eta: 16:48:32 time: 0.5672 data_time: 0.0245 memory: 13723 grad_norm: 4.0038 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3541 loss: 1.3541 2022/08/09 08:01:43 - mmengine - INFO - Epoch(train) [46][1400/1879] lr: 2.0000e-02 eta: 16:48:20 time: 0.5628 data_time: 0.0243 memory: 13723 grad_norm: 3.9028 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3977 loss: 1.3977 2022/08/09 08:01:54 - mmengine - INFO - Epoch(train) [46][1420/1879] lr: 2.0000e-02 eta: 16:48:07 time: 0.5639 data_time: 0.0242 memory: 13723 grad_norm: 3.8911 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4220 loss: 1.4220 2022/08/09 08:02:06 - mmengine - INFO - Epoch(train) [46][1440/1879] lr: 2.0000e-02 eta: 16:47:55 time: 0.5714 data_time: 0.0328 memory: 13723 grad_norm: 4.0065 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5136 loss: 1.5136 2022/08/09 08:02:08 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 08:02:17 - mmengine - INFO - Epoch(train) [46][1460/1879] lr: 2.0000e-02 eta: 16:47:42 time: 0.5590 data_time: 0.0218 memory: 13723 grad_norm: 3.9382 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4071 loss: 1.4071 2022/08/09 08:02:28 - mmengine - INFO - Epoch(train) [46][1480/1879] lr: 2.0000e-02 eta: 16:47:30 time: 0.5643 data_time: 0.0261 memory: 13723 grad_norm: 4.0060 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2107 loss: 1.2107 2022/08/09 08:02:39 - mmengine - INFO - Epoch(train) [46][1500/1879] lr: 2.0000e-02 eta: 16:47:17 time: 0.5670 data_time: 0.0249 memory: 13723 grad_norm: 3.9825 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5818 loss: 1.5818 2022/08/09 08:02:51 - mmengine - INFO - Epoch(train) [46][1520/1879] lr: 2.0000e-02 eta: 16:47:05 time: 0.5649 data_time: 0.0255 memory: 13723 grad_norm: 3.9695 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4632 loss: 1.4632 2022/08/09 08:03:02 - mmengine - INFO - Epoch(train) [46][1540/1879] lr: 2.0000e-02 eta: 16:46:52 time: 0.5784 data_time: 0.0231 memory: 13723 grad_norm: 3.9245 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4199 loss: 1.4199 2022/08/09 08:03:14 - mmengine - INFO - Epoch(train) [46][1560/1879] lr: 2.0000e-02 eta: 16:46:40 time: 0.5611 data_time: 0.0217 memory: 13723 grad_norm: 3.8335 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4249 loss: 1.4249 2022/08/09 08:03:25 - mmengine - INFO - Epoch(train) [46][1580/1879] lr: 2.0000e-02 eta: 16:46:27 time: 0.5601 data_time: 0.0241 memory: 13723 grad_norm: 3.9425 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3975 loss: 1.3975 2022/08/09 08:03:36 - mmengine - INFO - Epoch(train) [46][1600/1879] lr: 2.0000e-02 eta: 16:46:15 time: 0.5638 data_time: 0.0243 memory: 13723 grad_norm: 4.0072 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3154 loss: 1.3154 2022/08/09 08:03:47 - mmengine - INFO - Epoch(train) [46][1620/1879] lr: 2.0000e-02 eta: 16:46:02 time: 0.5657 data_time: 0.0276 memory: 13723 grad_norm: 4.0112 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2620 loss: 1.2620 2022/08/09 08:03:59 - mmengine - INFO - Epoch(train) [46][1640/1879] lr: 2.0000e-02 eta: 16:45:50 time: 0.5800 data_time: 0.0243 memory: 13723 grad_norm: 3.9458 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4923 loss: 1.4923 2022/08/09 08:04:11 - mmengine - INFO - Epoch(train) [46][1660/1879] lr: 2.0000e-02 eta: 16:45:38 time: 0.5760 data_time: 0.0236 memory: 13723 grad_norm: 3.9430 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5091 loss: 1.5091 2022/08/09 08:04:22 - mmengine - INFO - Epoch(train) [46][1680/1879] lr: 2.0000e-02 eta: 16:45:25 time: 0.5648 data_time: 0.0259 memory: 13723 grad_norm: 3.9487 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3341 loss: 1.3341 2022/08/09 08:04:33 - mmengine - INFO - Epoch(train) [46][1700/1879] lr: 2.0000e-02 eta: 16:45:12 time: 0.5607 data_time: 0.0242 memory: 13723 grad_norm: 3.8542 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4021 loss: 1.4021 2022/08/09 08:04:44 - mmengine - INFO - Epoch(train) [46][1720/1879] lr: 2.0000e-02 eta: 16:45:00 time: 0.5620 data_time: 0.0262 memory: 13723 grad_norm: 4.0094 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4117 loss: 1.4117 2022/08/09 08:04:56 - mmengine - INFO - Epoch(train) [46][1740/1879] lr: 2.0000e-02 eta: 16:44:47 time: 0.5652 data_time: 0.0248 memory: 13723 grad_norm: 3.8788 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4550 loss: 1.4550 2022/08/09 08:05:07 - mmengine - INFO - Epoch(train) [46][1760/1879] lr: 2.0000e-02 eta: 16:44:34 time: 0.5544 data_time: 0.0206 memory: 13723 grad_norm: 3.9044 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3915 loss: 1.3915 2022/08/09 08:05:20 - mmengine - INFO - Epoch(train) [46][1780/1879] lr: 2.0000e-02 eta: 16:44:24 time: 0.6439 data_time: 0.0716 memory: 13723 grad_norm: 3.8818 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4248 loss: 1.4248 2022/08/09 08:05:32 - mmengine - INFO - Epoch(train) [46][1800/1879] lr: 2.0000e-02 eta: 16:44:12 time: 0.6083 data_time: 0.0313 memory: 13723 grad_norm: 3.9792 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.5056 loss: 1.5056 2022/08/09 08:05:44 - mmengine - INFO - Epoch(train) [46][1820/1879] lr: 2.0000e-02 eta: 16:44:00 time: 0.5859 data_time: 0.0265 memory: 13723 grad_norm: 4.0486 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5500 loss: 1.5500 2022/08/09 08:05:55 - mmengine - INFO - Epoch(train) [46][1840/1879] lr: 2.0000e-02 eta: 16:43:48 time: 0.5803 data_time: 0.0245 memory: 13723 grad_norm: 3.9186 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3492 loss: 1.3492 2022/08/09 08:06:07 - mmengine - INFO - Epoch(train) [46][1860/1879] lr: 2.0000e-02 eta: 16:43:36 time: 0.5653 data_time: 0.0231 memory: 13723 grad_norm: 3.9174 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5610 loss: 1.5610 2022/08/09 08:06:17 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 08:06:17 - mmengine - INFO - Epoch(train) [46][1879/1879] lr: 2.0000e-02 eta: 16:43:36 time: 0.5285 data_time: 0.0181 memory: 13723 grad_norm: 4.1677 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.4730 loss: 1.4730 2022/08/09 08:06:30 - mmengine - INFO - Epoch(val) [46][20/155] eta: 0:01:30 time: 0.6684 data_time: 0.5275 memory: 1829 2022/08/09 08:06:38 - mmengine - INFO - Epoch(val) [46][40/155] eta: 0:00:47 time: 0.4155 data_time: 0.2765 memory: 1829 2022/08/09 08:06:51 - mmengine - INFO - Epoch(val) [46][60/155] eta: 0:00:58 time: 0.6179 data_time: 0.4781 memory: 1829 2022/08/09 08:07:00 - mmengine - INFO - Epoch(val) [46][80/155] eta: 0:00:34 time: 0.4579 data_time: 0.3180 memory: 1829 2022/08/09 08:07:13 - mmengine - INFO - Epoch(val) [46][100/155] eta: 0:00:35 time: 0.6459 data_time: 0.5059 memory: 1829 2022/08/09 08:07:22 - mmengine - INFO - Epoch(val) [46][120/155] eta: 0:00:15 time: 0.4471 data_time: 0.3074 memory: 1829 2022/08/09 08:07:35 - mmengine - INFO - Epoch(val) [46][140/155] eta: 0:00:09 time: 0.6604 data_time: 0.5201 memory: 1829 2022/08/09 08:07:43 - mmengine - INFO - Epoch(val) [46][155/155] acc/top1: 0.6252 acc/top5: 0.8502 acc/mean1: 0.6250 2022/08/09 08:08:00 - mmengine - INFO - Epoch(train) [47][20/1879] lr: 2.0000e-02 eta: 16:43:05 time: 0.8598 data_time: 0.2668 memory: 13723 grad_norm: 3.8882 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2669 loss: 1.2669 2022/08/09 08:08:11 - mmengine - INFO - Epoch(train) [47][40/1879] lr: 2.0000e-02 eta: 16:42:53 time: 0.5766 data_time: 0.0230 memory: 13723 grad_norm: 3.8921 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3395 loss: 1.3395 2022/08/09 08:08:23 - mmengine - INFO - Epoch(train) [47][60/1879] lr: 2.0000e-02 eta: 16:42:41 time: 0.5731 data_time: 0.0251 memory: 13723 grad_norm: 3.8938 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4248 loss: 1.4248 2022/08/09 08:08:34 - mmengine - INFO - Epoch(train) [47][80/1879] lr: 2.0000e-02 eta: 16:42:28 time: 0.5640 data_time: 0.0243 memory: 13723 grad_norm: 3.8852 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3162 loss: 1.3162 2022/08/09 08:08:46 - mmengine - INFO - Epoch(train) [47][100/1879] lr: 2.0000e-02 eta: 16:42:16 time: 0.5718 data_time: 0.0241 memory: 13723 grad_norm: 3.9152 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2905 loss: 1.2905 2022/08/09 08:08:57 - mmengine - INFO - Epoch(train) [47][120/1879] lr: 2.0000e-02 eta: 16:42:03 time: 0.5615 data_time: 0.0243 memory: 13723 grad_norm: 3.8772 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1907 loss: 1.1907 2022/08/09 08:09:08 - mmengine - INFO - Epoch(train) [47][140/1879] lr: 2.0000e-02 eta: 16:41:51 time: 0.5633 data_time: 0.0241 memory: 13723 grad_norm: 3.9541 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2271 loss: 1.2271 2022/08/09 08:09:19 - mmengine - INFO - Epoch(train) [47][160/1879] lr: 2.0000e-02 eta: 16:41:38 time: 0.5666 data_time: 0.0234 memory: 13723 grad_norm: 3.9947 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3062 loss: 1.3062 2022/08/09 08:09:31 - mmengine - INFO - Epoch(train) [47][180/1879] lr: 2.0000e-02 eta: 16:41:26 time: 0.5632 data_time: 0.0236 memory: 13723 grad_norm: 3.9261 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2598 loss: 1.2598 2022/08/09 08:09:42 - mmengine - INFO - Epoch(train) [47][200/1879] lr: 2.0000e-02 eta: 16:41:13 time: 0.5627 data_time: 0.0244 memory: 13723 grad_norm: 3.9398 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.2925 loss: 1.2925 2022/08/09 08:09:53 - mmengine - INFO - Epoch(train) [47][220/1879] lr: 2.0000e-02 eta: 16:41:01 time: 0.5625 data_time: 0.0228 memory: 13723 grad_norm: 3.8189 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3012 loss: 1.3012 2022/08/09 08:10:04 - mmengine - INFO - Epoch(train) [47][240/1879] lr: 2.0000e-02 eta: 16:40:48 time: 0.5607 data_time: 0.0236 memory: 13723 grad_norm: 3.9572 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3024 loss: 1.3024 2022/08/09 08:10:18 - mmengine - INFO - Epoch(train) [47][260/1879] lr: 2.0000e-02 eta: 16:40:38 time: 0.6939 data_time: 0.0229 memory: 13723 grad_norm: 4.1166 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5848 loss: 1.5848 2022/08/09 08:10:31 - mmengine - INFO - Epoch(train) [47][280/1879] lr: 2.0000e-02 eta: 16:40:28 time: 0.6401 data_time: 0.0249 memory: 13723 grad_norm: 3.8397 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2308 loss: 1.2308 2022/08/09 08:10:43 - mmengine - INFO - Epoch(train) [47][300/1879] lr: 2.0000e-02 eta: 16:40:16 time: 0.5911 data_time: 0.0253 memory: 13723 grad_norm: 4.0709 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4478 loss: 1.4478 2022/08/09 08:10:55 - mmengine - INFO - Epoch(train) [47][320/1879] lr: 2.0000e-02 eta: 16:40:04 time: 0.5886 data_time: 0.0247 memory: 13723 grad_norm: 4.0027 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2080 loss: 1.2080 2022/08/09 08:11:06 - mmengine - INFO - Epoch(train) [47][340/1879] lr: 2.0000e-02 eta: 16:39:51 time: 0.5730 data_time: 0.0255 memory: 13723 grad_norm: 3.9230 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2075 loss: 1.2075 2022/08/09 08:11:18 - mmengine - INFO - Epoch(train) [47][360/1879] lr: 2.0000e-02 eta: 16:39:39 time: 0.5658 data_time: 0.0254 memory: 13723 grad_norm: 3.9758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3652 loss: 1.3652 2022/08/09 08:11:29 - mmengine - INFO - Epoch(train) [47][380/1879] lr: 2.0000e-02 eta: 16:39:26 time: 0.5673 data_time: 0.0267 memory: 13723 grad_norm: 3.9159 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1657 loss: 1.1657 2022/08/09 08:11:40 - mmengine - INFO - Epoch(train) [47][400/1879] lr: 2.0000e-02 eta: 16:39:14 time: 0.5676 data_time: 0.0253 memory: 13723 grad_norm: 4.0236 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2681 loss: 1.2681 2022/08/09 08:11:52 - mmengine - INFO - Epoch(train) [47][420/1879] lr: 2.0000e-02 eta: 16:39:02 time: 0.5720 data_time: 0.0255 memory: 13723 grad_norm: 4.1088 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3353 loss: 1.3353 2022/08/09 08:12:03 - mmengine - INFO - Epoch(train) [47][440/1879] lr: 2.0000e-02 eta: 16:38:49 time: 0.5635 data_time: 0.0250 memory: 13723 grad_norm: 4.0301 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3635 loss: 1.3635 2022/08/09 08:12:14 - mmengine - INFO - Epoch(train) [47][460/1879] lr: 2.0000e-02 eta: 16:38:36 time: 0.5608 data_time: 0.0250 memory: 13723 grad_norm: 3.9406 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3697 loss: 1.3697 2022/08/09 08:12:26 - mmengine - INFO - Epoch(train) [47][480/1879] lr: 2.0000e-02 eta: 16:38:24 time: 0.5640 data_time: 0.0238 memory: 13723 grad_norm: 4.0205 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5766 loss: 1.5766 2022/08/09 08:12:37 - mmengine - INFO - Epoch(train) [47][500/1879] lr: 2.0000e-02 eta: 16:38:11 time: 0.5621 data_time: 0.0236 memory: 13723 grad_norm: 3.9124 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2619 loss: 1.2619 2022/08/09 08:12:48 - mmengine - INFO - Epoch(train) [47][520/1879] lr: 2.0000e-02 eta: 16:37:59 time: 0.5662 data_time: 0.0247 memory: 13723 grad_norm: 3.9558 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5093 loss: 1.5093 2022/08/09 08:12:59 - mmengine - INFO - Epoch(train) [47][540/1879] lr: 2.0000e-02 eta: 16:37:46 time: 0.5650 data_time: 0.0268 memory: 13723 grad_norm: 4.0187 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4087 loss: 1.4087 2022/08/09 08:13:11 - mmengine - INFO - Epoch(train) [47][560/1879] lr: 2.0000e-02 eta: 16:37:34 time: 0.5707 data_time: 0.0272 memory: 13723 grad_norm: 3.9779 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4079 loss: 1.4079 2022/08/09 08:13:14 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 08:13:22 - mmengine - INFO - Epoch(train) [47][580/1879] lr: 2.0000e-02 eta: 16:37:21 time: 0.5642 data_time: 0.0252 memory: 13723 grad_norm: 3.9809 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3270 loss: 1.3270 2022/08/09 08:13:34 - mmengine - INFO - Epoch(train) [47][600/1879] lr: 2.0000e-02 eta: 16:37:09 time: 0.5682 data_time: 0.0252 memory: 13723 grad_norm: 3.9408 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1861 loss: 1.1861 2022/08/09 08:13:45 - mmengine - INFO - Epoch(train) [47][620/1879] lr: 2.0000e-02 eta: 16:36:56 time: 0.5661 data_time: 0.0227 memory: 13723 grad_norm: 3.8889 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2465 loss: 1.2465 2022/08/09 08:13:56 - mmengine - INFO - Epoch(train) [47][640/1879] lr: 2.0000e-02 eta: 16:36:44 time: 0.5599 data_time: 0.0238 memory: 13723 grad_norm: 3.9758 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2009 loss: 1.2009 2022/08/09 08:14:07 - mmengine - INFO - Epoch(train) [47][660/1879] lr: 2.0000e-02 eta: 16:36:31 time: 0.5654 data_time: 0.0254 memory: 13723 grad_norm: 4.1083 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3484 loss: 1.3484 2022/08/09 08:14:19 - mmengine - INFO - Epoch(train) [47][680/1879] lr: 2.0000e-02 eta: 16:36:19 time: 0.5650 data_time: 0.0277 memory: 13723 grad_norm: 4.0226 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2958 loss: 1.2958 2022/08/09 08:14:30 - mmengine - INFO - Epoch(train) [47][700/1879] lr: 2.0000e-02 eta: 16:36:06 time: 0.5650 data_time: 0.0259 memory: 13723 grad_norm: 3.9562 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3353 loss: 1.3353 2022/08/09 08:14:41 - mmengine - INFO - Epoch(train) [47][720/1879] lr: 2.0000e-02 eta: 16:35:54 time: 0.5684 data_time: 0.0284 memory: 13723 grad_norm: 4.0799 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5369 loss: 1.5369 2022/08/09 08:14:53 - mmengine - INFO - Epoch(train) [47][740/1879] lr: 2.0000e-02 eta: 16:35:41 time: 0.5631 data_time: 0.0247 memory: 13723 grad_norm: 3.8625 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4082 loss: 1.4082 2022/08/09 08:15:04 - mmengine - INFO - Epoch(train) [47][760/1879] lr: 2.0000e-02 eta: 16:35:29 time: 0.5649 data_time: 0.0248 memory: 13723 grad_norm: 3.9815 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5370 loss: 1.5370 2022/08/09 08:15:16 - mmengine - INFO - Epoch(train) [47][780/1879] lr: 2.0000e-02 eta: 16:35:16 time: 0.5744 data_time: 0.0280 memory: 13723 grad_norm: 4.1067 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4141 loss: 1.4141 2022/08/09 08:15:27 - mmengine - INFO - Epoch(train) [47][800/1879] lr: 2.0000e-02 eta: 16:35:04 time: 0.5706 data_time: 0.0254 memory: 13723 grad_norm: 3.9275 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4320 loss: 1.4320 2022/08/09 08:15:38 - mmengine - INFO - Epoch(train) [47][820/1879] lr: 2.0000e-02 eta: 16:34:52 time: 0.5639 data_time: 0.0239 memory: 13723 grad_norm: 3.9462 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3715 loss: 1.3715 2022/08/09 08:15:50 - mmengine - INFO - Epoch(train) [47][840/1879] lr: 2.0000e-02 eta: 16:34:39 time: 0.5638 data_time: 0.0249 memory: 13723 grad_norm: 4.0525 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4455 loss: 1.4455 2022/08/09 08:16:01 - mmengine - INFO - Epoch(train) [47][860/1879] lr: 2.0000e-02 eta: 16:34:27 time: 0.5663 data_time: 0.0264 memory: 13723 grad_norm: 4.0081 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3609 loss: 1.3609 2022/08/09 08:16:12 - mmengine - INFO - Epoch(train) [47][880/1879] lr: 2.0000e-02 eta: 16:34:14 time: 0.5643 data_time: 0.0259 memory: 13723 grad_norm: 3.9921 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3070 loss: 1.3070 2022/08/09 08:16:23 - mmengine - INFO - Epoch(train) [47][900/1879] lr: 2.0000e-02 eta: 16:34:01 time: 0.5614 data_time: 0.0225 memory: 13723 grad_norm: 3.9568 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3451 loss: 1.3451 2022/08/09 08:16:35 - mmengine - INFO - Epoch(train) [47][920/1879] lr: 2.0000e-02 eta: 16:33:49 time: 0.5609 data_time: 0.0248 memory: 13723 grad_norm: 4.0075 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4284 loss: 1.4284 2022/08/09 08:16:46 - mmengine - INFO - Epoch(train) [47][940/1879] lr: 2.0000e-02 eta: 16:33:36 time: 0.5638 data_time: 0.0239 memory: 13723 grad_norm: 4.0898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6423 loss: 1.6423 2022/08/09 08:16:57 - mmengine - INFO - Epoch(train) [47][960/1879] lr: 2.0000e-02 eta: 16:33:24 time: 0.5746 data_time: 0.0227 memory: 13723 grad_norm: 3.9810 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4286 loss: 1.4286 2022/08/09 08:17:09 - mmengine - INFO - Epoch(train) [47][980/1879] lr: 2.0000e-02 eta: 16:33:12 time: 0.5826 data_time: 0.0440 memory: 13723 grad_norm: 4.0918 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3518 loss: 1.3518 2022/08/09 08:17:20 - mmengine - INFO - Epoch(train) [47][1000/1879] lr: 2.0000e-02 eta: 16:32:59 time: 0.5673 data_time: 0.0271 memory: 13723 grad_norm: 4.0661 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4453 loss: 1.4453 2022/08/09 08:17:32 - mmengine - INFO - Epoch(train) [47][1020/1879] lr: 2.0000e-02 eta: 16:32:47 time: 0.5636 data_time: 0.0239 memory: 13723 grad_norm: 4.1207 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6305 loss: 1.6305 2022/08/09 08:17:43 - mmengine - INFO - Epoch(train) [47][1040/1879] lr: 2.0000e-02 eta: 16:32:34 time: 0.5661 data_time: 0.0228 memory: 13723 grad_norm: 4.0258 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5289 loss: 1.5289 2022/08/09 08:17:55 - mmengine - INFO - Epoch(train) [47][1060/1879] lr: 2.0000e-02 eta: 16:32:22 time: 0.5751 data_time: 0.0234 memory: 13723 grad_norm: 3.9003 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3251 loss: 1.3251 2022/08/09 08:18:06 - mmengine - INFO - Epoch(train) [47][1080/1879] lr: 2.0000e-02 eta: 16:32:10 time: 0.5654 data_time: 0.0240 memory: 13723 grad_norm: 3.9595 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4237 loss: 1.4237 2022/08/09 08:18:17 - mmengine - INFO - Epoch(train) [47][1100/1879] lr: 2.0000e-02 eta: 16:31:57 time: 0.5653 data_time: 0.0270 memory: 13723 grad_norm: 3.9731 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3391 loss: 1.3391 2022/08/09 08:18:29 - mmengine - INFO - Epoch(train) [47][1120/1879] lr: 2.0000e-02 eta: 16:31:45 time: 0.5747 data_time: 0.0223 memory: 13723 grad_norm: 3.9802 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2631 loss: 1.2631 2022/08/09 08:18:40 - mmengine - INFO - Epoch(train) [47][1140/1879] lr: 2.0000e-02 eta: 16:31:32 time: 0.5578 data_time: 0.0261 memory: 13723 grad_norm: 4.0664 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3314 loss: 1.3314 2022/08/09 08:18:52 - mmengine - INFO - Epoch(train) [47][1160/1879] lr: 2.0000e-02 eta: 16:31:20 time: 0.5805 data_time: 0.0292 memory: 13723 grad_norm: 3.9998 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2784 loss: 1.2784 2022/08/09 08:19:03 - mmengine - INFO - Epoch(train) [47][1180/1879] lr: 2.0000e-02 eta: 16:31:07 time: 0.5608 data_time: 0.0232 memory: 13723 grad_norm: 4.0147 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4068 loss: 1.4068 2022/08/09 08:19:14 - mmengine - INFO - Epoch(train) [47][1200/1879] lr: 2.0000e-02 eta: 16:30:55 time: 0.5645 data_time: 0.0222 memory: 13723 grad_norm: 3.9428 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3330 loss: 1.3330 2022/08/09 08:19:25 - mmengine - INFO - Epoch(train) [47][1220/1879] lr: 2.0000e-02 eta: 16:30:42 time: 0.5582 data_time: 0.0244 memory: 13723 grad_norm: 3.8254 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2839 loss: 1.2839 2022/08/09 08:19:37 - mmengine - INFO - Epoch(train) [47][1240/1879] lr: 2.0000e-02 eta: 16:30:30 time: 0.5686 data_time: 0.0336 memory: 13723 grad_norm: 4.1474 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3072 loss: 1.3072 2022/08/09 08:19:48 - mmengine - INFO - Epoch(train) [47][1260/1879] lr: 2.0000e-02 eta: 16:30:17 time: 0.5601 data_time: 0.0246 memory: 13723 grad_norm: 4.0495 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3492 loss: 1.3492 2022/08/09 08:19:59 - mmengine - INFO - Epoch(train) [47][1280/1879] lr: 2.0000e-02 eta: 16:30:05 time: 0.5638 data_time: 0.0265 memory: 13723 grad_norm: 3.9697 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4376 loss: 1.4376 2022/08/09 08:20:11 - mmengine - INFO - Epoch(train) [47][1300/1879] lr: 2.0000e-02 eta: 16:29:52 time: 0.5669 data_time: 0.0221 memory: 13723 grad_norm: 3.9508 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4062 loss: 1.4062 2022/08/09 08:20:22 - mmengine - INFO - Epoch(train) [47][1320/1879] lr: 2.0000e-02 eta: 16:29:40 time: 0.5905 data_time: 0.0417 memory: 13723 grad_norm: 4.0503 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3213 loss: 1.3213 2022/08/09 08:20:34 - mmengine - INFO - Epoch(train) [47][1340/1879] lr: 2.0000e-02 eta: 16:29:28 time: 0.5848 data_time: 0.0277 memory: 13723 grad_norm: 3.9744 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4083 loss: 1.4083 2022/08/09 08:20:46 - mmengine - INFO - Epoch(train) [47][1360/1879] lr: 2.0000e-02 eta: 16:29:16 time: 0.5924 data_time: 0.0263 memory: 13723 grad_norm: 4.0552 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4111 loss: 1.4111 2022/08/09 08:20:57 - mmengine - INFO - Epoch(train) [47][1380/1879] lr: 2.0000e-02 eta: 16:29:04 time: 0.5787 data_time: 0.0239 memory: 13723 grad_norm: 3.8948 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.3724 loss: 1.3724 2022/08/09 08:21:09 - mmengine - INFO - Epoch(train) [47][1400/1879] lr: 2.0000e-02 eta: 16:28:52 time: 0.5678 data_time: 0.0252 memory: 13723 grad_norm: 3.9528 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3927 loss: 1.3927 2022/08/09 08:21:20 - mmengine - INFO - Epoch(train) [47][1420/1879] lr: 2.0000e-02 eta: 16:28:39 time: 0.5653 data_time: 0.0238 memory: 13723 grad_norm: 4.0144 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2944 loss: 1.2944 2022/08/09 08:21:32 - mmengine - INFO - Epoch(train) [47][1440/1879] lr: 2.0000e-02 eta: 16:28:27 time: 0.5704 data_time: 0.0261 memory: 13723 grad_norm: 3.8903 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3426 loss: 1.3426 2022/08/09 08:21:43 - mmengine - INFO - Epoch(train) [47][1460/1879] lr: 2.0000e-02 eta: 16:28:14 time: 0.5604 data_time: 0.0245 memory: 13723 grad_norm: 4.0618 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.3077 loss: 1.3077 2022/08/09 08:21:54 - mmengine - INFO - Epoch(train) [47][1480/1879] lr: 2.0000e-02 eta: 16:28:02 time: 0.5605 data_time: 0.0242 memory: 13723 grad_norm: 4.0788 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3518 loss: 1.3518 2022/08/09 08:22:05 - mmengine - INFO - Epoch(train) [47][1500/1879] lr: 2.0000e-02 eta: 16:27:49 time: 0.5626 data_time: 0.0250 memory: 13723 grad_norm: 3.9706 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4161 loss: 1.4161 2022/08/09 08:22:17 - mmengine - INFO - Epoch(train) [47][1520/1879] lr: 2.0000e-02 eta: 16:27:37 time: 0.5640 data_time: 0.0228 memory: 13723 grad_norm: 3.9959 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2579 loss: 1.2579 2022/08/09 08:22:28 - mmengine - INFO - Epoch(train) [47][1540/1879] lr: 2.0000e-02 eta: 16:27:24 time: 0.5621 data_time: 0.0240 memory: 13723 grad_norm: 3.9473 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3027 loss: 1.3027 2022/08/09 08:22:39 - mmengine - INFO - Epoch(train) [47][1560/1879] lr: 2.0000e-02 eta: 16:27:12 time: 0.5654 data_time: 0.0232 memory: 13723 grad_norm: 4.0239 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2463 loss: 1.2463 2022/08/09 08:22:43 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 08:22:51 - mmengine - INFO - Epoch(train) [47][1580/1879] lr: 2.0000e-02 eta: 16:26:59 time: 0.5723 data_time: 0.0235 memory: 13723 grad_norm: 4.0630 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3680 loss: 1.3680 2022/08/09 08:23:02 - mmengine - INFO - Epoch(train) [47][1600/1879] lr: 2.0000e-02 eta: 16:26:47 time: 0.5656 data_time: 0.0248 memory: 13723 grad_norm: 3.9301 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5328 loss: 1.5328 2022/08/09 08:23:13 - mmengine - INFO - Epoch(train) [47][1620/1879] lr: 2.0000e-02 eta: 16:26:34 time: 0.5645 data_time: 0.0222 memory: 13723 grad_norm: 3.9076 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4631 loss: 1.4631 2022/08/09 08:23:24 - mmengine - INFO - Epoch(train) [47][1640/1879] lr: 2.0000e-02 eta: 16:26:22 time: 0.5635 data_time: 0.0250 memory: 13723 grad_norm: 3.9651 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3456 loss: 1.3456 2022/08/09 08:23:36 - mmengine - INFO - Epoch(train) [47][1660/1879] lr: 2.0000e-02 eta: 16:26:09 time: 0.5646 data_time: 0.0229 memory: 13723 grad_norm: 3.9570 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2121 loss: 1.2121 2022/08/09 08:23:47 - mmengine - INFO - Epoch(train) [47][1680/1879] lr: 2.0000e-02 eta: 16:25:57 time: 0.5625 data_time: 0.0255 memory: 13723 grad_norm: 4.0222 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5911 loss: 1.5911 2022/08/09 08:23:58 - mmengine - INFO - Epoch(train) [47][1700/1879] lr: 2.0000e-02 eta: 16:25:44 time: 0.5614 data_time: 0.0239 memory: 13723 grad_norm: 3.9490 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3215 loss: 1.3215 2022/08/09 08:24:10 - mmengine - INFO - Epoch(train) [47][1720/1879] lr: 2.0000e-02 eta: 16:25:32 time: 0.5646 data_time: 0.0260 memory: 13723 grad_norm: 3.9293 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5033 loss: 1.5033 2022/08/09 08:24:21 - mmengine - INFO - Epoch(train) [47][1740/1879] lr: 2.0000e-02 eta: 16:25:19 time: 0.5622 data_time: 0.0220 memory: 13723 grad_norm: 3.9546 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4801 loss: 1.4801 2022/08/09 08:24:33 - mmengine - INFO - Epoch(train) [47][1760/1879] lr: 2.0000e-02 eta: 16:25:07 time: 0.5827 data_time: 0.0422 memory: 13723 grad_norm: 3.9948 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3518 loss: 1.3518 2022/08/09 08:24:44 - mmengine - INFO - Epoch(train) [47][1780/1879] lr: 2.0000e-02 eta: 16:24:55 time: 0.5619 data_time: 0.0227 memory: 13723 grad_norm: 3.9454 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4888 loss: 1.4888 2022/08/09 08:24:56 - mmengine - INFO - Epoch(train) [47][1800/1879] lr: 2.0000e-02 eta: 16:24:43 time: 0.5875 data_time: 0.0531 memory: 13723 grad_norm: 4.0217 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1910 loss: 1.1910 2022/08/09 08:25:07 - mmengine - INFO - Epoch(train) [47][1820/1879] lr: 2.0000e-02 eta: 16:24:30 time: 0.5538 data_time: 0.0214 memory: 13723 grad_norm: 3.9628 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4263 loss: 1.4263 2022/08/09 08:25:19 - mmengine - INFO - Epoch(train) [47][1840/1879] lr: 2.0000e-02 eta: 16:24:19 time: 0.6293 data_time: 0.0268 memory: 13723 grad_norm: 3.9014 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3805 loss: 1.3805 2022/08/09 08:25:32 - mmengine - INFO - Epoch(train) [47][1860/1879] lr: 2.0000e-02 eta: 16:24:08 time: 0.6326 data_time: 0.0248 memory: 13723 grad_norm: 3.9257 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4706 loss: 1.4706 2022/08/09 08:25:43 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 08:25:43 - mmengine - INFO - Epoch(train) [47][1879/1879] lr: 2.0000e-02 eta: 16:24:08 time: 0.5679 data_time: 0.0201 memory: 13723 grad_norm: 4.0257 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.3504 loss: 1.3504 2022/08/09 08:25:56 - mmengine - INFO - Epoch(val) [47][20/155] eta: 0:01:32 time: 0.6856 data_time: 0.5439 memory: 1829 2022/08/09 08:26:05 - mmengine - INFO - Epoch(val) [47][40/155] eta: 0:00:50 time: 0.4414 data_time: 0.2983 memory: 1829 2022/08/09 08:26:17 - mmengine - INFO - Epoch(val) [47][60/155] eta: 0:00:56 time: 0.5954 data_time: 0.4552 memory: 1829 2022/08/09 08:26:26 - mmengine - INFO - Epoch(val) [47][80/155] eta: 0:00:33 time: 0.4511 data_time: 0.3064 memory: 1829 2022/08/09 08:26:38 - mmengine - INFO - Epoch(val) [47][100/155] eta: 0:00:33 time: 0.6057 data_time: 0.4663 memory: 1829 2022/08/09 08:26:48 - mmengine - INFO - Epoch(val) [47][120/155] eta: 0:00:17 time: 0.4921 data_time: 0.3518 memory: 1829 2022/08/09 08:27:02 - mmengine - INFO - Epoch(val) [47][140/155] eta: 0:00:10 time: 0.6684 data_time: 0.5284 memory: 1829 2022/08/09 08:27:09 - mmengine - INFO - Epoch(val) [47][155/155] acc/top1: 0.6381 acc/top5: 0.8544 acc/mean1: 0.6380 2022/08/09 08:27:26 - mmengine - INFO - Epoch(train) [48][20/1879] lr: 2.0000e-02 eta: 16:23:37 time: 0.8154 data_time: 0.2156 memory: 13723 grad_norm: 3.9026 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2868 loss: 1.2868 2022/08/09 08:27:37 - mmengine - INFO - Epoch(train) [48][40/1879] lr: 2.0000e-02 eta: 16:23:25 time: 0.5728 data_time: 0.0236 memory: 13723 grad_norm: 3.9308 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.3360 loss: 1.3360 2022/08/09 08:27:48 - mmengine - INFO - Epoch(train) [48][60/1879] lr: 2.0000e-02 eta: 16:23:12 time: 0.5722 data_time: 0.0243 memory: 13723 grad_norm: 4.0757 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5163 loss: 1.5163 2022/08/09 08:28:00 - mmengine - INFO - Epoch(train) [48][80/1879] lr: 2.0000e-02 eta: 16:23:01 time: 0.5950 data_time: 0.0308 memory: 13723 grad_norm: 3.9936 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3590 loss: 1.3590 2022/08/09 08:28:12 - mmengine - INFO - Epoch(train) [48][100/1879] lr: 2.0000e-02 eta: 16:22:48 time: 0.5655 data_time: 0.0250 memory: 13723 grad_norm: 4.0322 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3263 loss: 1.3263 2022/08/09 08:28:23 - mmengine - INFO - Epoch(train) [48][120/1879] lr: 2.0000e-02 eta: 16:22:36 time: 0.5633 data_time: 0.0259 memory: 13723 grad_norm: 3.8513 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1764 loss: 1.1764 2022/08/09 08:28:34 - mmengine - INFO - Epoch(train) [48][140/1879] lr: 2.0000e-02 eta: 16:22:23 time: 0.5696 data_time: 0.0240 memory: 13723 grad_norm: 3.9137 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2744 loss: 1.2744 2022/08/09 08:28:46 - mmengine - INFO - Epoch(train) [48][160/1879] lr: 2.0000e-02 eta: 16:22:11 time: 0.5628 data_time: 0.0237 memory: 13723 grad_norm: 3.9762 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2642 loss: 1.2642 2022/08/09 08:28:57 - mmengine - INFO - Epoch(train) [48][180/1879] lr: 2.0000e-02 eta: 16:21:58 time: 0.5644 data_time: 0.0256 memory: 13723 grad_norm: 3.8455 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2213 loss: 1.2213 2022/08/09 08:29:08 - mmengine - INFO - Epoch(train) [48][200/1879] lr: 2.0000e-02 eta: 16:21:46 time: 0.5599 data_time: 0.0243 memory: 13723 grad_norm: 3.8925 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2774 loss: 1.2774 2022/08/09 08:29:20 - mmengine - INFO - Epoch(train) [48][220/1879] lr: 2.0000e-02 eta: 16:21:33 time: 0.5687 data_time: 0.0236 memory: 13723 grad_norm: 4.0383 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3580 loss: 1.3580 2022/08/09 08:29:31 - mmengine - INFO - Epoch(train) [48][240/1879] lr: 2.0000e-02 eta: 16:21:21 time: 0.5662 data_time: 0.0238 memory: 13723 grad_norm: 4.0215 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2976 loss: 1.2976 2022/08/09 08:29:42 - mmengine - INFO - Epoch(train) [48][260/1879] lr: 2.0000e-02 eta: 16:21:08 time: 0.5656 data_time: 0.0243 memory: 13723 grad_norm: 3.9712 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3375 loss: 1.3375 2022/08/09 08:29:53 - mmengine - INFO - Epoch(train) [48][280/1879] lr: 2.0000e-02 eta: 16:20:56 time: 0.5644 data_time: 0.0237 memory: 13723 grad_norm: 3.9435 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2235 loss: 1.2235 2022/08/09 08:30:05 - mmengine - INFO - Epoch(train) [48][300/1879] lr: 2.0000e-02 eta: 16:20:43 time: 0.5643 data_time: 0.0244 memory: 13723 grad_norm: 3.9742 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5022 loss: 1.5022 2022/08/09 08:30:17 - mmengine - INFO - Epoch(train) [48][320/1879] lr: 2.0000e-02 eta: 16:20:32 time: 0.6030 data_time: 0.0555 memory: 13723 grad_norm: 4.0073 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2122 loss: 1.2122 2022/08/09 08:30:29 - mmengine - INFO - Epoch(train) [48][340/1879] lr: 2.0000e-02 eta: 16:20:20 time: 0.5824 data_time: 0.0286 memory: 13723 grad_norm: 3.9554 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4422 loss: 1.4422 2022/08/09 08:30:40 - mmengine - INFO - Epoch(train) [48][360/1879] lr: 2.0000e-02 eta: 16:20:08 time: 0.5793 data_time: 0.0250 memory: 13723 grad_norm: 4.0569 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2883 loss: 1.2883 2022/08/09 08:30:52 - mmengine - INFO - Epoch(train) [48][380/1879] lr: 2.0000e-02 eta: 16:19:55 time: 0.5693 data_time: 0.0233 memory: 13723 grad_norm: 4.0482 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5182 loss: 1.5182 2022/08/09 08:31:03 - mmengine - INFO - Epoch(train) [48][400/1879] lr: 2.0000e-02 eta: 16:19:43 time: 0.5634 data_time: 0.0252 memory: 13723 grad_norm: 3.8606 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0502 loss: 1.0502 2022/08/09 08:31:14 - mmengine - INFO - Epoch(train) [48][420/1879] lr: 2.0000e-02 eta: 16:19:30 time: 0.5697 data_time: 0.0231 memory: 13723 grad_norm: 3.9473 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2975 loss: 1.2975 2022/08/09 08:31:25 - mmengine - INFO - Epoch(train) [48][440/1879] lr: 2.0000e-02 eta: 16:19:18 time: 0.5621 data_time: 0.0238 memory: 13723 grad_norm: 4.0166 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2688 loss: 1.2688 2022/08/09 08:31:37 - mmengine - INFO - Epoch(train) [48][460/1879] lr: 2.0000e-02 eta: 16:19:05 time: 0.5620 data_time: 0.0242 memory: 13723 grad_norm: 4.0568 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3854 loss: 1.3854 2022/08/09 08:31:48 - mmengine - INFO - Epoch(train) [48][480/1879] lr: 2.0000e-02 eta: 16:18:53 time: 0.5710 data_time: 0.0260 memory: 13723 grad_norm: 3.9094 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2624 loss: 1.2624 2022/08/09 08:31:59 - mmengine - INFO - Epoch(train) [48][500/1879] lr: 2.0000e-02 eta: 16:18:40 time: 0.5634 data_time: 0.0235 memory: 13723 grad_norm: 3.9285 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3208 loss: 1.3208 2022/08/09 08:32:11 - mmengine - INFO - Epoch(train) [48][520/1879] lr: 2.0000e-02 eta: 16:18:28 time: 0.5641 data_time: 0.0240 memory: 13723 grad_norm: 3.9050 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3654 loss: 1.3654 2022/08/09 08:32:22 - mmengine - INFO - Epoch(train) [48][540/1879] lr: 2.0000e-02 eta: 16:18:16 time: 0.5737 data_time: 0.0280 memory: 13723 grad_norm: 3.8880 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4515 loss: 1.4515 2022/08/09 08:32:33 - mmengine - INFO - Epoch(train) [48][560/1879] lr: 2.0000e-02 eta: 16:18:03 time: 0.5625 data_time: 0.0245 memory: 13723 grad_norm: 4.0554 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2765 loss: 1.2765 2022/08/09 08:32:45 - mmengine - INFO - Epoch(train) [48][580/1879] lr: 2.0000e-02 eta: 16:17:51 time: 0.5689 data_time: 0.0240 memory: 13723 grad_norm: 4.1151 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2871 loss: 1.2871 2022/08/09 08:32:56 - mmengine - INFO - Epoch(train) [48][600/1879] lr: 2.0000e-02 eta: 16:17:38 time: 0.5639 data_time: 0.0244 memory: 13723 grad_norm: 4.0318 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4290 loss: 1.4290 2022/08/09 08:33:07 - mmengine - INFO - Epoch(train) [48][620/1879] lr: 2.0000e-02 eta: 16:17:26 time: 0.5623 data_time: 0.0243 memory: 13723 grad_norm: 3.9598 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3838 loss: 1.3838 2022/08/09 08:33:19 - mmengine - INFO - Epoch(train) [48][640/1879] lr: 2.0000e-02 eta: 16:17:13 time: 0.5631 data_time: 0.0254 memory: 13723 grad_norm: 3.9658 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5129 loss: 1.5129 2022/08/09 08:33:30 - mmengine - INFO - Epoch(train) [48][660/1879] lr: 2.0000e-02 eta: 16:17:01 time: 0.5664 data_time: 0.0255 memory: 13723 grad_norm: 3.9081 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2798 loss: 1.2798 2022/08/09 08:33:41 - mmengine - INFO - Epoch(train) [48][680/1879] lr: 2.0000e-02 eta: 16:16:48 time: 0.5627 data_time: 0.0242 memory: 13723 grad_norm: 4.0333 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6386 loss: 1.6386 2022/08/09 08:33:45 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 08:33:53 - mmengine - INFO - Epoch(train) [48][700/1879] lr: 2.0000e-02 eta: 16:16:36 time: 0.5720 data_time: 0.0250 memory: 13723 grad_norm: 4.1747 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3705 loss: 1.3705 2022/08/09 08:34:04 - mmengine - INFO - Epoch(train) [48][720/1879] lr: 2.0000e-02 eta: 16:16:24 time: 0.5789 data_time: 0.0229 memory: 13723 grad_norm: 4.1055 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5054 loss: 1.5054 2022/08/09 08:34:16 - mmengine - INFO - Epoch(train) [48][740/1879] lr: 2.0000e-02 eta: 16:16:11 time: 0.5675 data_time: 0.0249 memory: 13723 grad_norm: 4.0847 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3760 loss: 1.3760 2022/08/09 08:34:27 - mmengine - INFO - Epoch(train) [48][760/1879] lr: 2.0000e-02 eta: 16:15:59 time: 0.5642 data_time: 0.0242 memory: 13723 grad_norm: 4.0930 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3255 loss: 1.3255 2022/08/09 08:34:38 - mmengine - INFO - Epoch(train) [48][780/1879] lr: 2.0000e-02 eta: 16:15:46 time: 0.5604 data_time: 0.0232 memory: 13723 grad_norm: 4.0158 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3387 loss: 1.3387 2022/08/09 08:34:50 - mmengine - INFO - Epoch(train) [48][800/1879] lr: 2.0000e-02 eta: 16:15:34 time: 0.5679 data_time: 0.0273 memory: 13723 grad_norm: 3.9496 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2404 loss: 1.2404 2022/08/09 08:35:01 - mmengine - INFO - Epoch(train) [48][820/1879] lr: 2.0000e-02 eta: 16:15:21 time: 0.5619 data_time: 0.0237 memory: 13723 grad_norm: 4.0793 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3752 loss: 1.3752 2022/08/09 08:35:12 - mmengine - INFO - Epoch(train) [48][840/1879] lr: 2.0000e-02 eta: 16:15:09 time: 0.5815 data_time: 0.0231 memory: 13723 grad_norm: 4.0596 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5617 loss: 1.5617 2022/08/09 08:35:24 - mmengine - INFO - Epoch(train) [48][860/1879] lr: 2.0000e-02 eta: 16:14:58 time: 0.5959 data_time: 0.0440 memory: 13723 grad_norm: 3.8767 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1635 loss: 1.1635 2022/08/09 08:35:36 - mmengine - INFO - Epoch(train) [48][880/1879] lr: 2.0000e-02 eta: 16:14:45 time: 0.5622 data_time: 0.0233 memory: 13723 grad_norm: 4.0430 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3867 loss: 1.3867 2022/08/09 08:35:47 - mmengine - INFO - Epoch(train) [48][900/1879] lr: 2.0000e-02 eta: 16:14:33 time: 0.5666 data_time: 0.0230 memory: 13723 grad_norm: 4.0416 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4370 loss: 1.4370 2022/08/09 08:35:58 - mmengine - INFO - Epoch(train) [48][920/1879] lr: 2.0000e-02 eta: 16:14:20 time: 0.5608 data_time: 0.0251 memory: 13723 grad_norm: 4.0728 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4962 loss: 1.4962 2022/08/09 08:36:10 - mmengine - INFO - Epoch(train) [48][940/1879] lr: 2.0000e-02 eta: 16:14:08 time: 0.5727 data_time: 0.0268 memory: 13723 grad_norm: 4.0829 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4627 loss: 1.4627 2022/08/09 08:36:21 - mmengine - INFO - Epoch(train) [48][960/1879] lr: 2.0000e-02 eta: 16:13:55 time: 0.5638 data_time: 0.0225 memory: 13723 grad_norm: 4.0611 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3695 loss: 1.3695 2022/08/09 08:36:32 - mmengine - INFO - Epoch(train) [48][980/1879] lr: 2.0000e-02 eta: 16:13:43 time: 0.5639 data_time: 0.0255 memory: 13723 grad_norm: 4.0266 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4417 loss: 1.4417 2022/08/09 08:36:44 - mmengine - INFO - Epoch(train) [48][1000/1879] lr: 2.0000e-02 eta: 16:13:30 time: 0.5629 data_time: 0.0254 memory: 13723 grad_norm: 3.9494 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5101 loss: 1.5101 2022/08/09 08:36:55 - mmengine - INFO - Epoch(train) [48][1020/1879] lr: 2.0000e-02 eta: 16:13:18 time: 0.5670 data_time: 0.0234 memory: 13723 grad_norm: 3.9970 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4104 loss: 1.4104 2022/08/09 08:37:06 - mmengine - INFO - Epoch(train) [48][1040/1879] lr: 2.0000e-02 eta: 16:13:06 time: 0.5692 data_time: 0.0264 memory: 13723 grad_norm: 3.9418 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3731 loss: 1.3731 2022/08/09 08:37:18 - mmengine - INFO - Epoch(train) [48][1060/1879] lr: 2.0000e-02 eta: 16:12:53 time: 0.5623 data_time: 0.0219 memory: 13723 grad_norm: 3.8961 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4188 loss: 1.4188 2022/08/09 08:37:29 - mmengine - INFO - Epoch(train) [48][1080/1879] lr: 2.0000e-02 eta: 16:12:41 time: 0.5691 data_time: 0.0244 memory: 13723 grad_norm: 3.9608 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2394 loss: 1.2394 2022/08/09 08:37:40 - mmengine - INFO - Epoch(train) [48][1100/1879] lr: 2.0000e-02 eta: 16:12:28 time: 0.5603 data_time: 0.0240 memory: 13723 grad_norm: 3.9072 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4012 loss: 1.4012 2022/08/09 08:37:52 - mmengine - INFO - Epoch(train) [48][1120/1879] lr: 2.0000e-02 eta: 16:12:16 time: 0.5827 data_time: 0.0244 memory: 13723 grad_norm: 3.9778 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5012 loss: 1.5012 2022/08/09 08:38:03 - mmengine - INFO - Epoch(train) [48][1140/1879] lr: 2.0000e-02 eta: 16:12:04 time: 0.5767 data_time: 0.0256 memory: 13723 grad_norm: 4.0269 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4509 loss: 1.4509 2022/08/09 08:38:15 - mmengine - INFO - Epoch(train) [48][1160/1879] lr: 2.0000e-02 eta: 16:11:51 time: 0.5635 data_time: 0.0228 memory: 13723 grad_norm: 4.1001 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5406 loss: 1.5406 2022/08/09 08:38:26 - mmengine - INFO - Epoch(train) [48][1180/1879] lr: 2.0000e-02 eta: 16:11:39 time: 0.5666 data_time: 0.0238 memory: 13723 grad_norm: 3.9032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2893 loss: 1.2893 2022/08/09 08:38:37 - mmengine - INFO - Epoch(train) [48][1200/1879] lr: 2.0000e-02 eta: 16:11:26 time: 0.5626 data_time: 0.0247 memory: 13723 grad_norm: 3.9369 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3556 loss: 1.3556 2022/08/09 08:38:48 - mmengine - INFO - Epoch(train) [48][1220/1879] lr: 2.0000e-02 eta: 16:11:14 time: 0.5593 data_time: 0.0237 memory: 13723 grad_norm: 3.9905 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3655 loss: 1.3655 2022/08/09 08:39:00 - mmengine - INFO - Epoch(train) [48][1240/1879] lr: 2.0000e-02 eta: 16:11:01 time: 0.5616 data_time: 0.0247 memory: 13723 grad_norm: 4.0768 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6214 loss: 1.6214 2022/08/09 08:39:11 - mmengine - INFO - Epoch(train) [48][1260/1879] lr: 2.0000e-02 eta: 16:10:49 time: 0.5642 data_time: 0.0240 memory: 13723 grad_norm: 3.9908 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5645 loss: 1.5645 2022/08/09 08:39:22 - mmengine - INFO - Epoch(train) [48][1280/1879] lr: 2.0000e-02 eta: 16:10:36 time: 0.5672 data_time: 0.0247 memory: 13723 grad_norm: 3.9737 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4964 loss: 1.4964 2022/08/09 08:39:34 - mmengine - INFO - Epoch(train) [48][1300/1879] lr: 2.0000e-02 eta: 16:10:24 time: 0.5703 data_time: 0.0285 memory: 13723 grad_norm: 4.0310 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5821 loss: 1.5821 2022/08/09 08:39:45 - mmengine - INFO - Epoch(train) [48][1320/1879] lr: 2.0000e-02 eta: 16:10:12 time: 0.5632 data_time: 0.0244 memory: 13723 grad_norm: 4.0080 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3839 loss: 1.3839 2022/08/09 08:39:56 - mmengine - INFO - Epoch(train) [48][1340/1879] lr: 2.0000e-02 eta: 16:09:59 time: 0.5658 data_time: 0.0234 memory: 13723 grad_norm: 4.1718 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3492 loss: 1.3492 2022/08/09 08:40:07 - mmengine - INFO - Epoch(train) [48][1360/1879] lr: 2.0000e-02 eta: 16:09:46 time: 0.5498 data_time: 0.0212 memory: 13723 grad_norm: 4.0258 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3925 loss: 1.3925 2022/08/09 08:40:21 - mmengine - INFO - Epoch(train) [48][1380/1879] lr: 2.0000e-02 eta: 16:09:37 time: 0.6951 data_time: 0.0270 memory: 13723 grad_norm: 3.8760 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2026 loss: 1.2026 2022/08/09 08:40:34 - mmengine - INFO - Epoch(train) [48][1400/1879] lr: 2.0000e-02 eta: 16:09:26 time: 0.6434 data_time: 0.0265 memory: 13723 grad_norm: 3.9912 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4222 loss: 1.4222 2022/08/09 08:40:46 - mmengine - INFO - Epoch(train) [48][1420/1879] lr: 2.0000e-02 eta: 16:09:14 time: 0.5861 data_time: 0.0245 memory: 13723 grad_norm: 4.0409 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3201 loss: 1.3201 2022/08/09 08:40:58 - mmengine - INFO - Epoch(train) [48][1440/1879] lr: 2.0000e-02 eta: 16:09:02 time: 0.5898 data_time: 0.0295 memory: 13723 grad_norm: 3.9497 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2343 loss: 1.2343 2022/08/09 08:41:09 - mmengine - INFO - Epoch(train) [48][1460/1879] lr: 2.0000e-02 eta: 16:08:50 time: 0.5730 data_time: 0.0231 memory: 13723 grad_norm: 4.0413 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4426 loss: 1.4426 2022/08/09 08:41:20 - mmengine - INFO - Epoch(train) [48][1480/1879] lr: 2.0000e-02 eta: 16:08:37 time: 0.5652 data_time: 0.0246 memory: 13723 grad_norm: 3.8941 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3963 loss: 1.3963 2022/08/09 08:41:32 - mmengine - INFO - Epoch(train) [48][1500/1879] lr: 2.0000e-02 eta: 16:08:25 time: 0.5666 data_time: 0.0229 memory: 13723 grad_norm: 4.0122 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4146 loss: 1.4146 2022/08/09 08:41:43 - mmengine - INFO - Epoch(train) [48][1520/1879] lr: 2.0000e-02 eta: 16:08:13 time: 0.5685 data_time: 0.0240 memory: 13723 grad_norm: 4.0952 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4363 loss: 1.4363 2022/08/09 08:41:55 - mmengine - INFO - Epoch(train) [48][1540/1879] lr: 2.0000e-02 eta: 16:08:00 time: 0.5662 data_time: 0.0270 memory: 13723 grad_norm: 4.0445 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4545 loss: 1.4545 2022/08/09 08:42:06 - mmengine - INFO - Epoch(train) [48][1560/1879] lr: 2.0000e-02 eta: 16:07:48 time: 0.5593 data_time: 0.0227 memory: 13723 grad_norm: 4.1103 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5455 loss: 1.5455 2022/08/09 08:42:17 - mmengine - INFO - Epoch(train) [48][1580/1879] lr: 2.0000e-02 eta: 16:07:35 time: 0.5658 data_time: 0.0292 memory: 13723 grad_norm: 3.9911 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4009 loss: 1.4009 2022/08/09 08:42:28 - mmengine - INFO - Epoch(train) [48][1600/1879] lr: 2.0000e-02 eta: 16:07:23 time: 0.5583 data_time: 0.0230 memory: 13723 grad_norm: 4.0223 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5204 loss: 1.5204 2022/08/09 08:42:40 - mmengine - INFO - Epoch(train) [48][1620/1879] lr: 2.0000e-02 eta: 16:07:10 time: 0.5671 data_time: 0.0241 memory: 13723 grad_norm: 3.8273 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2982 loss: 1.2982 2022/08/09 08:42:51 - mmengine - INFO - Epoch(train) [48][1640/1879] lr: 2.0000e-02 eta: 16:06:58 time: 0.5635 data_time: 0.0231 memory: 13723 grad_norm: 3.9141 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3272 loss: 1.3272 2022/08/09 08:43:02 - mmengine - INFO - Epoch(train) [48][1660/1879] lr: 2.0000e-02 eta: 16:06:45 time: 0.5622 data_time: 0.0243 memory: 13723 grad_norm: 3.9028 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4604 loss: 1.4604 2022/08/09 08:43:13 - mmengine - INFO - Epoch(train) [48][1680/1879] lr: 2.0000e-02 eta: 16:06:33 time: 0.5661 data_time: 0.0256 memory: 13723 grad_norm: 3.9720 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3635 loss: 1.3635 2022/08/09 08:43:17 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 08:43:25 - mmengine - INFO - Epoch(train) [48][1700/1879] lr: 2.0000e-02 eta: 16:06:21 time: 0.5783 data_time: 0.0262 memory: 13723 grad_norm: 3.9728 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5542 loss: 1.5542 2022/08/09 08:43:36 - mmengine - INFO - Epoch(train) [48][1720/1879] lr: 2.0000e-02 eta: 16:06:08 time: 0.5629 data_time: 0.0234 memory: 13723 grad_norm: 3.8934 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3160 loss: 1.3160 2022/08/09 08:43:48 - mmengine - INFO - Epoch(train) [48][1740/1879] lr: 2.0000e-02 eta: 16:05:56 time: 0.5659 data_time: 0.0255 memory: 13723 grad_norm: 4.0617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4415 loss: 1.4415 2022/08/09 08:43:59 - mmengine - INFO - Epoch(train) [48][1760/1879] lr: 2.0000e-02 eta: 16:05:43 time: 0.5645 data_time: 0.0243 memory: 13723 grad_norm: 4.0654 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2956 loss: 1.2956 2022/08/09 08:44:10 - mmengine - INFO - Epoch(train) [48][1780/1879] lr: 2.0000e-02 eta: 16:05:31 time: 0.5684 data_time: 0.0279 memory: 13723 grad_norm: 4.1378 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5907 loss: 1.5907 2022/08/09 08:44:22 - mmengine - INFO - Epoch(train) [48][1800/1879] lr: 2.0000e-02 eta: 16:05:19 time: 0.5618 data_time: 0.0261 memory: 13723 grad_norm: 3.9099 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4569 loss: 1.4569 2022/08/09 08:44:33 - mmengine - INFO - Epoch(train) [48][1820/1879] lr: 2.0000e-02 eta: 16:05:06 time: 0.5649 data_time: 0.0241 memory: 13723 grad_norm: 3.8992 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3625 loss: 1.3625 2022/08/09 08:44:44 - mmengine - INFO - Epoch(train) [48][1840/1879] lr: 2.0000e-02 eta: 16:04:54 time: 0.5679 data_time: 0.0257 memory: 13723 grad_norm: 3.9686 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4126 loss: 1.4126 2022/08/09 08:44:56 - mmengine - INFO - Epoch(train) [48][1860/1879] lr: 2.0000e-02 eta: 16:04:41 time: 0.5643 data_time: 0.0249 memory: 13723 grad_norm: 4.0398 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3171 loss: 1.3171 2022/08/09 08:45:06 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 08:45:06 - mmengine - INFO - Epoch(train) [48][1879/1879] lr: 2.0000e-02 eta: 16:04:41 time: 0.5299 data_time: 0.0192 memory: 13723 grad_norm: 4.1559 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.3288 loss: 1.3288 2022/08/09 08:45:06 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/08/09 08:45:21 - mmengine - INFO - Epoch(val) [48][20/155] eta: 0:01:32 time: 0.6845 data_time: 0.5438 memory: 1829 2022/08/09 08:45:31 - mmengine - INFO - Epoch(val) [48][40/155] eta: 0:00:53 time: 0.4668 data_time: 0.3276 memory: 1829 2022/08/09 08:45:42 - mmengine - INFO - Epoch(val) [48][60/155] eta: 0:00:55 time: 0.5817 data_time: 0.4427 memory: 1829 2022/08/09 08:45:52 - mmengine - INFO - Epoch(val) [48][80/155] eta: 0:00:35 time: 0.4668 data_time: 0.3280 memory: 1829 2022/08/09 08:46:04 - mmengine - INFO - Epoch(val) [48][100/155] eta: 0:00:34 time: 0.6316 data_time: 0.4930 memory: 1829 2022/08/09 08:46:13 - mmengine - INFO - Epoch(val) [48][120/155] eta: 0:00:14 time: 0.4170 data_time: 0.2779 memory: 1829 2022/08/09 08:46:26 - mmengine - INFO - Epoch(val) [48][140/155] eta: 0:00:09 time: 0.6520 data_time: 0.5124 memory: 1829 2022/08/09 08:46:35 - mmengine - INFO - Epoch(val) [48][155/155] acc/top1: 0.6322 acc/top5: 0.8530 acc/mean1: 0.6321 2022/08/09 08:46:51 - mmengine - INFO - Epoch(train) [49][20/1879] lr: 2.0000e-02 eta: 16:04:10 time: 0.7875 data_time: 0.2193 memory: 13723 grad_norm: 3.9154 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2108 loss: 1.2108 2022/08/09 08:47:02 - mmengine - INFO - Epoch(train) [49][40/1879] lr: 2.0000e-02 eta: 16:03:58 time: 0.5830 data_time: 0.0251 memory: 13723 grad_norm: 3.9625 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3393 loss: 1.3393 2022/08/09 08:47:14 - mmengine - INFO - Epoch(train) [49][60/1879] lr: 2.0000e-02 eta: 16:03:47 time: 0.6086 data_time: 0.0273 memory: 13723 grad_norm: 3.8728 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1705 loss: 1.1705 2022/08/09 08:47:26 - mmengine - INFO - Epoch(train) [49][80/1879] lr: 2.0000e-02 eta: 16:03:34 time: 0.5659 data_time: 0.0222 memory: 13723 grad_norm: 3.9926 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4485 loss: 1.4485 2022/08/09 08:47:37 - mmengine - INFO - Epoch(train) [49][100/1879] lr: 2.0000e-02 eta: 16:03:22 time: 0.5672 data_time: 0.0248 memory: 13723 grad_norm: 3.9860 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.2843 loss: 1.2843 2022/08/09 08:47:49 - mmengine - INFO - Epoch(train) [49][120/1879] lr: 2.0000e-02 eta: 16:03:10 time: 0.5733 data_time: 0.0249 memory: 13723 grad_norm: 4.0737 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2641 loss: 1.2641 2022/08/09 08:48:00 - mmengine - INFO - Epoch(train) [49][140/1879] lr: 2.0000e-02 eta: 16:02:57 time: 0.5768 data_time: 0.0242 memory: 13723 grad_norm: 3.9887 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3950 loss: 1.3950 2022/08/09 08:48:12 - mmengine - INFO - Epoch(train) [49][160/1879] lr: 2.0000e-02 eta: 16:02:45 time: 0.5750 data_time: 0.0246 memory: 13723 grad_norm: 3.8926 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3203 loss: 1.3203 2022/08/09 08:48:23 - mmengine - INFO - Epoch(train) [49][180/1879] lr: 2.0000e-02 eta: 16:02:33 time: 0.5700 data_time: 0.0238 memory: 13723 grad_norm: 4.1328 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2358 loss: 1.2358 2022/08/09 08:48:34 - mmengine - INFO - Epoch(train) [49][200/1879] lr: 2.0000e-02 eta: 16:02:20 time: 0.5641 data_time: 0.0233 memory: 13723 grad_norm: 4.1291 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5542 loss: 1.5542 2022/08/09 08:48:46 - mmengine - INFO - Epoch(train) [49][220/1879] lr: 2.0000e-02 eta: 16:02:08 time: 0.5611 data_time: 0.0248 memory: 13723 grad_norm: 4.0444 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.4390 loss: 1.4390 2022/08/09 08:48:57 - mmengine - INFO - Epoch(train) [49][240/1879] lr: 2.0000e-02 eta: 16:01:55 time: 0.5646 data_time: 0.0228 memory: 13723 grad_norm: 3.9817 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5371 loss: 1.5371 2022/08/09 08:49:08 - mmengine - INFO - Epoch(train) [49][260/1879] lr: 2.0000e-02 eta: 16:01:43 time: 0.5717 data_time: 0.0228 memory: 13723 grad_norm: 3.9657 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2546 loss: 1.2546 2022/08/09 08:49:20 - mmengine - INFO - Epoch(train) [49][280/1879] lr: 2.0000e-02 eta: 16:01:31 time: 0.5643 data_time: 0.0239 memory: 13723 grad_norm: 4.0251 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3838 loss: 1.3838 2022/08/09 08:49:31 - mmengine - INFO - Epoch(train) [49][300/1879] lr: 2.0000e-02 eta: 16:01:19 time: 0.5818 data_time: 0.0237 memory: 13723 grad_norm: 3.9321 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1145 loss: 1.1145 2022/08/09 08:49:43 - mmengine - INFO - Epoch(train) [49][320/1879] lr: 2.0000e-02 eta: 16:01:06 time: 0.5710 data_time: 0.0243 memory: 13723 grad_norm: 4.0531 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5563 loss: 1.5563 2022/08/09 08:49:54 - mmengine - INFO - Epoch(train) [49][340/1879] lr: 2.0000e-02 eta: 16:00:54 time: 0.5629 data_time: 0.0247 memory: 13723 grad_norm: 3.9524 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4664 loss: 1.4664 2022/08/09 08:50:05 - mmengine - INFO - Epoch(train) [49][360/1879] lr: 2.0000e-02 eta: 16:00:41 time: 0.5634 data_time: 0.0225 memory: 13723 grad_norm: 3.9089 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1841 loss: 1.1841 2022/08/09 08:50:17 - mmengine - INFO - Epoch(train) [49][380/1879] lr: 2.0000e-02 eta: 16:00:29 time: 0.5825 data_time: 0.0264 memory: 13723 grad_norm: 3.9880 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3605 loss: 1.3605 2022/08/09 08:50:28 - mmengine - INFO - Epoch(train) [49][400/1879] lr: 2.0000e-02 eta: 16:00:17 time: 0.5773 data_time: 0.0273 memory: 13723 grad_norm: 3.9929 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3935 loss: 1.3935 2022/08/09 08:50:40 - mmengine - INFO - Epoch(train) [49][420/1879] lr: 2.0000e-02 eta: 16:00:05 time: 0.5887 data_time: 0.0262 memory: 13723 grad_norm: 3.9089 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1368 loss: 1.1368 2022/08/09 08:50:52 - mmengine - INFO - Epoch(train) [49][440/1879] lr: 2.0000e-02 eta: 15:59:53 time: 0.5820 data_time: 0.0264 memory: 13723 grad_norm: 3.9168 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3884 loss: 1.3884 2022/08/09 08:51:03 - mmengine - INFO - Epoch(train) [49][460/1879] lr: 2.0000e-02 eta: 15:59:41 time: 0.5723 data_time: 0.0218 memory: 13723 grad_norm: 3.9693 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3146 loss: 1.3146 2022/08/09 08:51:15 - mmengine - INFO - Epoch(train) [49][480/1879] lr: 2.0000e-02 eta: 15:59:29 time: 0.5788 data_time: 0.0276 memory: 13723 grad_norm: 4.2036 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4526 loss: 1.4526 2022/08/09 08:51:26 - mmengine - INFO - Epoch(train) [49][500/1879] lr: 2.0000e-02 eta: 15:59:16 time: 0.5620 data_time: 0.0234 memory: 13723 grad_norm: 3.9704 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3070 loss: 1.3070 2022/08/09 08:51:38 - mmengine - INFO - Epoch(train) [49][520/1879] lr: 2.0000e-02 eta: 15:59:04 time: 0.5654 data_time: 0.0261 memory: 13723 grad_norm: 4.0289 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3679 loss: 1.3679 2022/08/09 08:51:49 - mmengine - INFO - Epoch(train) [49][540/1879] lr: 2.0000e-02 eta: 15:58:52 time: 0.5660 data_time: 0.0246 memory: 13723 grad_norm: 3.9515 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2665 loss: 1.2665 2022/08/09 08:52:00 - mmengine - INFO - Epoch(train) [49][560/1879] lr: 2.0000e-02 eta: 15:58:39 time: 0.5691 data_time: 0.0246 memory: 13723 grad_norm: 3.9614 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4200 loss: 1.4200 2022/08/09 08:52:11 - mmengine - INFO - Epoch(train) [49][580/1879] lr: 2.0000e-02 eta: 15:58:27 time: 0.5595 data_time: 0.0219 memory: 13723 grad_norm: 3.9860 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2276 loss: 1.2276 2022/08/09 08:52:23 - mmengine - INFO - Epoch(train) [49][600/1879] lr: 2.0000e-02 eta: 15:58:14 time: 0.5626 data_time: 0.0248 memory: 13723 grad_norm: 3.9996 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.5092 loss: 1.5092 2022/08/09 08:52:34 - mmengine - INFO - Epoch(train) [49][620/1879] lr: 2.0000e-02 eta: 15:58:02 time: 0.5644 data_time: 0.0241 memory: 13723 grad_norm: 3.9866 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4273 loss: 1.4273 2022/08/09 08:52:45 - mmengine - INFO - Epoch(train) [49][640/1879] lr: 2.0000e-02 eta: 15:57:49 time: 0.5620 data_time: 0.0227 memory: 13723 grad_norm: 3.9464 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4752 loss: 1.4752 2022/08/09 08:52:56 - mmengine - INFO - Epoch(train) [49][660/1879] lr: 2.0000e-02 eta: 15:57:37 time: 0.5572 data_time: 0.0227 memory: 13723 grad_norm: 4.0913 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2484 loss: 1.2484 2022/08/09 08:53:08 - mmengine - INFO - Epoch(train) [49][680/1879] lr: 2.0000e-02 eta: 15:57:24 time: 0.5713 data_time: 0.0282 memory: 13723 grad_norm: 4.0949 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3404 loss: 1.3404 2022/08/09 08:53:19 - mmengine - INFO - Epoch(train) [49][700/1879] lr: 2.0000e-02 eta: 15:57:12 time: 0.5631 data_time: 0.0224 memory: 13723 grad_norm: 3.8894 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3296 loss: 1.3296 2022/08/09 08:53:30 - mmengine - INFO - Epoch(train) [49][720/1879] lr: 2.0000e-02 eta: 15:57:00 time: 0.5636 data_time: 0.0243 memory: 13723 grad_norm: 3.9832 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4329 loss: 1.4329 2022/08/09 08:53:42 - mmengine - INFO - Epoch(train) [49][740/1879] lr: 2.0000e-02 eta: 15:56:47 time: 0.5652 data_time: 0.0247 memory: 13723 grad_norm: 3.9717 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4727 loss: 1.4727 2022/08/09 08:53:53 - mmengine - INFO - Epoch(train) [49][760/1879] lr: 2.0000e-02 eta: 15:56:35 time: 0.5651 data_time: 0.0228 memory: 13723 grad_norm: 3.8755 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4691 loss: 1.4691 2022/08/09 08:54:04 - mmengine - INFO - Epoch(train) [49][780/1879] lr: 2.0000e-02 eta: 15:56:22 time: 0.5623 data_time: 0.0259 memory: 13723 grad_norm: 3.9270 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2947 loss: 1.2947 2022/08/09 08:54:16 - mmengine - INFO - Epoch(train) [49][800/1879] lr: 2.0000e-02 eta: 15:56:10 time: 0.5661 data_time: 0.0263 memory: 13723 grad_norm: 3.9935 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3524 loss: 1.3524 2022/08/09 08:54:20 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 08:54:27 - mmengine - INFO - Epoch(train) [49][820/1879] lr: 2.0000e-02 eta: 15:55:57 time: 0.5655 data_time: 0.0247 memory: 13723 grad_norm: 4.0902 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4011 loss: 1.4011 2022/08/09 08:54:38 - mmengine - INFO - Epoch(train) [49][840/1879] lr: 2.0000e-02 eta: 15:55:45 time: 0.5685 data_time: 0.0232 memory: 13723 grad_norm: 4.0488 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5407 loss: 1.5407 2022/08/09 08:54:50 - mmengine - INFO - Epoch(train) [49][860/1879] lr: 2.0000e-02 eta: 15:55:33 time: 0.5683 data_time: 0.0248 memory: 13723 grad_norm: 3.9569 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2284 loss: 1.2284 2022/08/09 08:55:01 - mmengine - INFO - Epoch(train) [49][880/1879] lr: 2.0000e-02 eta: 15:55:20 time: 0.5604 data_time: 0.0237 memory: 13723 grad_norm: 4.0089 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3640 loss: 1.3640 2022/08/09 08:55:13 - mmengine - INFO - Epoch(train) [49][900/1879] lr: 2.0000e-02 eta: 15:55:08 time: 0.5783 data_time: 0.0230 memory: 13723 grad_norm: 4.0156 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2079 loss: 1.2079 2022/08/09 08:55:24 - mmengine - INFO - Epoch(train) [49][920/1879] lr: 2.0000e-02 eta: 15:54:56 time: 0.5700 data_time: 0.0243 memory: 13723 grad_norm: 3.9261 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2933 loss: 1.2933 2022/08/09 08:55:35 - mmengine - INFO - Epoch(train) [49][940/1879] lr: 2.0000e-02 eta: 15:54:44 time: 0.5706 data_time: 0.0239 memory: 13723 grad_norm: 3.9691 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3552 loss: 1.3552 2022/08/09 08:55:47 - mmengine - INFO - Epoch(train) [49][960/1879] lr: 2.0000e-02 eta: 15:54:31 time: 0.5660 data_time: 0.0220 memory: 13723 grad_norm: 4.1252 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4308 loss: 1.4308 2022/08/09 08:55:58 - mmengine - INFO - Epoch(train) [49][980/1879] lr: 2.0000e-02 eta: 15:54:19 time: 0.5602 data_time: 0.0244 memory: 13723 grad_norm: 3.8393 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4142 loss: 1.4142 2022/08/09 08:56:09 - mmengine - INFO - Epoch(train) [49][1000/1879] lr: 2.0000e-02 eta: 15:54:06 time: 0.5651 data_time: 0.0234 memory: 13723 grad_norm: 3.9150 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2714 loss: 1.2714 2022/08/09 08:56:21 - mmengine - INFO - Epoch(train) [49][1020/1879] lr: 2.0000e-02 eta: 15:53:54 time: 0.5666 data_time: 0.0236 memory: 13723 grad_norm: 3.9616 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3612 loss: 1.3612 2022/08/09 08:56:32 - mmengine - INFO - Epoch(train) [49][1040/1879] lr: 2.0000e-02 eta: 15:53:41 time: 0.5578 data_time: 0.0240 memory: 13723 grad_norm: 4.0381 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4430 loss: 1.4430 2022/08/09 08:56:43 - mmengine - INFO - Epoch(train) [49][1060/1879] lr: 2.0000e-02 eta: 15:53:29 time: 0.5640 data_time: 0.0241 memory: 13723 grad_norm: 4.0650 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3631 loss: 1.3631 2022/08/09 08:56:54 - mmengine - INFO - Epoch(train) [49][1080/1879] lr: 2.0000e-02 eta: 15:53:16 time: 0.5662 data_time: 0.0224 memory: 13723 grad_norm: 4.0354 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2992 loss: 1.2992 2022/08/09 08:57:06 - mmengine - INFO - Epoch(train) [49][1100/1879] lr: 2.0000e-02 eta: 15:53:04 time: 0.5611 data_time: 0.0243 memory: 13723 grad_norm: 3.9991 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2712 loss: 1.2712 2022/08/09 08:57:17 - mmengine - INFO - Epoch(train) [49][1120/1879] lr: 2.0000e-02 eta: 15:52:51 time: 0.5625 data_time: 0.0247 memory: 13723 grad_norm: 4.0396 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3340 loss: 1.3340 2022/08/09 08:57:28 - mmengine - INFO - Epoch(train) [49][1140/1879] lr: 2.0000e-02 eta: 15:52:39 time: 0.5638 data_time: 0.0244 memory: 13723 grad_norm: 4.0504 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5412 loss: 1.5412 2022/08/09 08:57:39 - mmengine - INFO - Epoch(train) [49][1160/1879] lr: 2.0000e-02 eta: 15:52:27 time: 0.5654 data_time: 0.0240 memory: 13723 grad_norm: 4.0664 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5394 loss: 1.5394 2022/08/09 08:57:51 - mmengine - INFO - Epoch(train) [49][1180/1879] lr: 2.0000e-02 eta: 15:52:15 time: 0.5839 data_time: 0.0239 memory: 13723 grad_norm: 4.0097 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2243 loss: 1.2243 2022/08/09 08:58:02 - mmengine - INFO - Epoch(train) [49][1200/1879] lr: 2.0000e-02 eta: 15:52:02 time: 0.5641 data_time: 0.0240 memory: 13723 grad_norm: 3.9752 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4505 loss: 1.4505 2022/08/09 08:58:14 - mmengine - INFO - Epoch(train) [49][1220/1879] lr: 2.0000e-02 eta: 15:51:50 time: 0.5620 data_time: 0.0251 memory: 13723 grad_norm: 3.9446 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3971 loss: 1.3971 2022/08/09 08:58:25 - mmengine - INFO - Epoch(train) [49][1240/1879] lr: 2.0000e-02 eta: 15:51:37 time: 0.5674 data_time: 0.0285 memory: 13723 grad_norm: 4.0836 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.3762 loss: 1.3762 2022/08/09 08:58:36 - mmengine - INFO - Epoch(train) [49][1260/1879] lr: 2.0000e-02 eta: 15:51:25 time: 0.5667 data_time: 0.0273 memory: 13723 grad_norm: 3.8976 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3342 loss: 1.3342 2022/08/09 08:58:48 - mmengine - INFO - Epoch(train) [49][1280/1879] lr: 2.0000e-02 eta: 15:51:13 time: 0.5619 data_time: 0.0248 memory: 13723 grad_norm: 4.0827 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5299 loss: 1.5299 2022/08/09 08:58:59 - mmengine - INFO - Epoch(train) [49][1300/1879] lr: 2.0000e-02 eta: 15:51:00 time: 0.5801 data_time: 0.0284 memory: 13723 grad_norm: 3.9708 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4454 loss: 1.4454 2022/08/09 08:59:11 - mmengine - INFO - Epoch(train) [49][1320/1879] lr: 2.0000e-02 eta: 15:50:48 time: 0.5687 data_time: 0.0252 memory: 13723 grad_norm: 4.0354 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2923 loss: 1.2923 2022/08/09 08:59:22 - mmengine - INFO - Epoch(train) [49][1340/1879] lr: 2.0000e-02 eta: 15:50:36 time: 0.5632 data_time: 0.0243 memory: 13723 grad_norm: 4.0094 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2945 loss: 1.2945 2022/08/09 08:59:34 - mmengine - INFO - Epoch(train) [49][1360/1879] lr: 2.0000e-02 eta: 15:50:24 time: 0.5853 data_time: 0.0242 memory: 13723 grad_norm: 3.9814 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3762 loss: 1.3762 2022/08/09 08:59:45 - mmengine - INFO - Epoch(train) [49][1380/1879] lr: 2.0000e-02 eta: 15:50:11 time: 0.5672 data_time: 0.0260 memory: 13723 grad_norm: 4.0010 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3648 loss: 1.3648 2022/08/09 08:59:56 - mmengine - INFO - Epoch(train) [49][1400/1879] lr: 2.0000e-02 eta: 15:49:59 time: 0.5669 data_time: 0.0250 memory: 13723 grad_norm: 4.0410 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4470 loss: 1.4470 2022/08/09 09:00:08 - mmengine - INFO - Epoch(train) [49][1420/1879] lr: 2.0000e-02 eta: 15:49:47 time: 0.5627 data_time: 0.0241 memory: 13723 grad_norm: 4.0718 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3957 loss: 1.3957 2022/08/09 09:00:19 - mmengine - INFO - Epoch(train) [49][1440/1879] lr: 2.0000e-02 eta: 15:49:34 time: 0.5752 data_time: 0.0290 memory: 13723 grad_norm: 4.0037 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3047 loss: 1.3047 2022/08/09 09:00:31 - mmengine - INFO - Epoch(train) [49][1460/1879] lr: 2.0000e-02 eta: 15:49:22 time: 0.5850 data_time: 0.0257 memory: 13723 grad_norm: 3.8841 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4129 loss: 1.4129 2022/08/09 09:00:43 - mmengine - INFO - Epoch(train) [49][1480/1879] lr: 2.0000e-02 eta: 15:49:10 time: 0.5872 data_time: 0.0291 memory: 13723 grad_norm: 3.9541 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4094 loss: 1.4094 2022/08/09 09:00:54 - mmengine - INFO - Epoch(train) [49][1500/1879] lr: 2.0000e-02 eta: 15:48:59 time: 0.5882 data_time: 0.0252 memory: 13723 grad_norm: 4.0067 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4230 loss: 1.4230 2022/08/09 09:01:06 - mmengine - INFO - Epoch(train) [49][1520/1879] lr: 2.0000e-02 eta: 15:48:47 time: 0.5901 data_time: 0.0281 memory: 13723 grad_norm: 4.0197 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3504 loss: 1.3504 2022/08/09 09:01:18 - mmengine - INFO - Epoch(train) [49][1540/1879] lr: 2.0000e-02 eta: 15:48:35 time: 0.5799 data_time: 0.0227 memory: 13723 grad_norm: 4.0776 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2948 loss: 1.2948 2022/08/09 09:01:29 - mmengine - INFO - Epoch(train) [49][1560/1879] lr: 2.0000e-02 eta: 15:48:22 time: 0.5697 data_time: 0.0242 memory: 13723 grad_norm: 4.0872 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3606 loss: 1.3606 2022/08/09 09:01:41 - mmengine - INFO - Epoch(train) [49][1580/1879] lr: 2.0000e-02 eta: 15:48:10 time: 0.5656 data_time: 0.0267 memory: 13723 grad_norm: 4.0533 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4737 loss: 1.4737 2022/08/09 09:01:52 - mmengine - INFO - Epoch(train) [49][1600/1879] lr: 2.0000e-02 eta: 15:47:58 time: 0.5654 data_time: 0.0279 memory: 13723 grad_norm: 4.0381 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3629 loss: 1.3629 2022/08/09 09:02:03 - mmengine - INFO - Epoch(train) [49][1620/1879] lr: 2.0000e-02 eta: 15:47:45 time: 0.5609 data_time: 0.0240 memory: 13723 grad_norm: 4.0849 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5088 loss: 1.5088 2022/08/09 09:02:15 - mmengine - INFO - Epoch(train) [49][1640/1879] lr: 2.0000e-02 eta: 15:47:33 time: 0.5903 data_time: 0.0498 memory: 13723 grad_norm: 3.9118 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3310 loss: 1.3310 2022/08/09 09:02:26 - mmengine - INFO - Epoch(train) [49][1660/1879] lr: 2.0000e-02 eta: 15:47:21 time: 0.5633 data_time: 0.0247 memory: 13723 grad_norm: 3.8872 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.3905 loss: 1.3905 2022/08/09 09:02:38 - mmengine - INFO - Epoch(train) [49][1680/1879] lr: 2.0000e-02 eta: 15:47:08 time: 0.5651 data_time: 0.0240 memory: 13723 grad_norm: 3.9467 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5042 loss: 1.5042 2022/08/09 09:02:49 - mmengine - INFO - Epoch(train) [49][1700/1879] lr: 2.0000e-02 eta: 15:46:56 time: 0.5642 data_time: 0.0266 memory: 13723 grad_norm: 3.9790 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3174 loss: 1.3174 2022/08/09 09:03:00 - mmengine - INFO - Epoch(train) [49][1720/1879] lr: 2.0000e-02 eta: 15:46:44 time: 0.5667 data_time: 0.0253 memory: 13723 grad_norm: 4.0949 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5935 loss: 1.5935 2022/08/09 09:03:11 - mmengine - INFO - Epoch(train) [49][1740/1879] lr: 2.0000e-02 eta: 15:46:31 time: 0.5635 data_time: 0.0248 memory: 13723 grad_norm: 3.8846 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3075 loss: 1.3075 2022/08/09 09:03:23 - mmengine - INFO - Epoch(train) [49][1760/1879] lr: 2.0000e-02 eta: 15:46:19 time: 0.5668 data_time: 0.0252 memory: 13723 grad_norm: 3.9808 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3070 loss: 1.3070 2022/08/09 09:03:34 - mmengine - INFO - Epoch(train) [49][1780/1879] lr: 2.0000e-02 eta: 15:46:06 time: 0.5633 data_time: 0.0244 memory: 13723 grad_norm: 4.0703 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3057 loss: 1.3057 2022/08/09 09:03:46 - mmengine - INFO - Epoch(train) [49][1800/1879] lr: 2.0000e-02 eta: 15:45:54 time: 0.5793 data_time: 0.0234 memory: 13723 grad_norm: 4.1419 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4353 loss: 1.4353 2022/08/09 09:03:50 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 09:03:57 - mmengine - INFO - Epoch(train) [49][1820/1879] lr: 2.0000e-02 eta: 15:45:42 time: 0.5615 data_time: 0.0263 memory: 13723 grad_norm: 4.0825 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3476 loss: 1.3476 2022/08/09 09:04:08 - mmengine - INFO - Epoch(train) [49][1840/1879] lr: 2.0000e-02 eta: 15:45:29 time: 0.5609 data_time: 0.0234 memory: 13723 grad_norm: 4.1211 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2676 loss: 1.2676 2022/08/09 09:04:20 - mmengine - INFO - Epoch(train) [49][1860/1879] lr: 2.0000e-02 eta: 15:45:17 time: 0.5682 data_time: 0.0247 memory: 13723 grad_norm: 3.9720 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2846 loss: 1.2846 2022/08/09 09:04:30 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 09:04:30 - mmengine - INFO - Epoch(train) [49][1879/1879] lr: 2.0000e-02 eta: 15:45:17 time: 0.5285 data_time: 0.0173 memory: 13723 grad_norm: 4.1646 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.3629 loss: 1.3629 2022/08/09 09:04:43 - mmengine - INFO - Epoch(val) [49][20/155] eta: 0:01:30 time: 0.6722 data_time: 0.5306 memory: 1829 2022/08/09 09:04:52 - mmengine - INFO - Epoch(val) [49][40/155] eta: 0:00:52 time: 0.4533 data_time: 0.3136 memory: 1829 2022/08/09 09:05:09 - mmengine - INFO - Epoch(val) [49][60/155] eta: 0:01:20 time: 0.8477 data_time: 0.6948 memory: 1829 2022/08/09 09:05:18 - mmengine - INFO - Epoch(val) [49][80/155] eta: 0:00:33 time: 0.4436 data_time: 0.3040 memory: 1829 2022/08/09 09:05:30 - mmengine - INFO - Epoch(val) [49][100/155] eta: 0:00:34 time: 0.6197 data_time: 0.4799 memory: 1829 2022/08/09 09:05:39 - mmengine - INFO - Epoch(val) [49][120/155] eta: 0:00:15 time: 0.4531 data_time: 0.3115 memory: 1829 2022/08/09 09:05:52 - mmengine - INFO - Epoch(val) [49][140/155] eta: 0:00:09 time: 0.6356 data_time: 0.4965 memory: 1829 2022/08/09 09:06:01 - mmengine - INFO - Epoch(val) [49][155/155] acc/top1: 0.6333 acc/top5: 0.8505 acc/mean1: 0.6333 2022/08/09 09:06:17 - mmengine - INFO - Epoch(train) [50][20/1879] lr: 2.0000e-02 eta: 15:44:47 time: 0.8205 data_time: 0.2207 memory: 13723 grad_norm: 4.0066 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1478 loss: 1.1478 2022/08/09 09:06:29 - mmengine - INFO - Epoch(train) [50][40/1879] lr: 2.0000e-02 eta: 15:44:35 time: 0.5767 data_time: 0.0258 memory: 13723 grad_norm: 3.9651 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2984 loss: 1.2984 2022/08/09 09:06:40 - mmengine - INFO - Epoch(train) [50][60/1879] lr: 2.0000e-02 eta: 15:44:23 time: 0.5709 data_time: 0.0240 memory: 13723 grad_norm: 3.9590 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4441 loss: 1.4441 2022/08/09 09:06:51 - mmengine - INFO - Epoch(train) [50][80/1879] lr: 2.0000e-02 eta: 15:44:10 time: 0.5674 data_time: 0.0253 memory: 13723 grad_norm: 3.9975 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3952 loss: 1.3952 2022/08/09 09:07:03 - mmengine - INFO - Epoch(train) [50][100/1879] lr: 2.0000e-02 eta: 15:43:58 time: 0.5658 data_time: 0.0228 memory: 13723 grad_norm: 4.0140 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4462 loss: 1.4462 2022/08/09 09:07:14 - mmengine - INFO - Epoch(train) [50][120/1879] lr: 2.0000e-02 eta: 15:43:45 time: 0.5644 data_time: 0.0271 memory: 13723 grad_norm: 4.0062 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4280 loss: 1.4280 2022/08/09 09:07:26 - mmengine - INFO - Epoch(train) [50][140/1879] lr: 2.0000e-02 eta: 15:43:33 time: 0.5737 data_time: 0.0241 memory: 13723 grad_norm: 3.9204 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3016 loss: 1.3016 2022/08/09 09:07:37 - mmengine - INFO - Epoch(train) [50][160/1879] lr: 2.0000e-02 eta: 15:43:21 time: 0.5599 data_time: 0.0246 memory: 13723 grad_norm: 3.9931 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4787 loss: 1.4787 2022/08/09 09:07:48 - mmengine - INFO - Epoch(train) [50][180/1879] lr: 2.0000e-02 eta: 15:43:08 time: 0.5654 data_time: 0.0279 memory: 13723 grad_norm: 4.0142 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2762 loss: 1.2762 2022/08/09 09:08:00 - mmengine - INFO - Epoch(train) [50][200/1879] lr: 2.0000e-02 eta: 15:42:56 time: 0.5828 data_time: 0.0243 memory: 13723 grad_norm: 4.0728 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3657 loss: 1.3657 2022/08/09 09:08:11 - mmengine - INFO - Epoch(train) [50][220/1879] lr: 2.0000e-02 eta: 15:42:44 time: 0.5689 data_time: 0.0227 memory: 13723 grad_norm: 3.9497 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2582 loss: 1.2582 2022/08/09 09:08:22 - mmengine - INFO - Epoch(train) [50][240/1879] lr: 2.0000e-02 eta: 15:42:32 time: 0.5634 data_time: 0.0257 memory: 13723 grad_norm: 3.9231 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1859 loss: 1.1859 2022/08/09 09:08:34 - mmengine - INFO - Epoch(train) [50][260/1879] lr: 2.0000e-02 eta: 15:42:19 time: 0.5643 data_time: 0.0241 memory: 13723 grad_norm: 3.9982 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3467 loss: 1.3467 2022/08/09 09:08:45 - mmengine - INFO - Epoch(train) [50][280/1879] lr: 2.0000e-02 eta: 15:42:07 time: 0.5689 data_time: 0.0258 memory: 13723 grad_norm: 3.9951 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3767 loss: 1.3767 2022/08/09 09:08:56 - mmengine - INFO - Epoch(train) [50][300/1879] lr: 2.0000e-02 eta: 15:41:55 time: 0.5651 data_time: 0.0244 memory: 13723 grad_norm: 3.9247 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2086 loss: 1.2086 2022/08/09 09:09:08 - mmengine - INFO - Epoch(train) [50][320/1879] lr: 2.0000e-02 eta: 15:41:42 time: 0.5647 data_time: 0.0240 memory: 13723 grad_norm: 4.0392 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2710 loss: 1.2710 2022/08/09 09:09:19 - mmengine - INFO - Epoch(train) [50][340/1879] lr: 2.0000e-02 eta: 15:41:30 time: 0.5890 data_time: 0.0500 memory: 13723 grad_norm: 3.9036 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3234 loss: 1.3234 2022/08/09 09:09:31 - mmengine - INFO - Epoch(train) [50][360/1879] lr: 2.0000e-02 eta: 15:41:18 time: 0.5641 data_time: 0.0247 memory: 13723 grad_norm: 4.0576 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2222 loss: 1.2222 2022/08/09 09:09:42 - mmengine - INFO - Epoch(train) [50][380/1879] lr: 2.0000e-02 eta: 15:41:06 time: 0.5647 data_time: 0.0242 memory: 13723 grad_norm: 3.9634 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3667 loss: 1.3667 2022/08/09 09:09:54 - mmengine - INFO - Epoch(train) [50][400/1879] lr: 2.0000e-02 eta: 15:40:53 time: 0.5765 data_time: 0.0268 memory: 13723 grad_norm: 4.0026 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1789 loss: 1.1789 2022/08/09 09:10:05 - mmengine - INFO - Epoch(train) [50][420/1879] lr: 2.0000e-02 eta: 15:40:41 time: 0.5731 data_time: 0.0235 memory: 13723 grad_norm: 3.8976 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2052 loss: 1.2052 2022/08/09 09:10:19 - mmengine - INFO - Epoch(train) [50][440/1879] lr: 2.0000e-02 eta: 15:40:31 time: 0.6859 data_time: 0.1332 memory: 13723 grad_norm: 4.0875 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4270 loss: 1.4270 2022/08/09 09:10:31 - mmengine - INFO - Epoch(train) [50][460/1879] lr: 2.0000e-02 eta: 15:40:19 time: 0.5878 data_time: 0.0246 memory: 13723 grad_norm: 3.9719 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2579 loss: 1.2579 2022/08/09 09:10:42 - mmengine - INFO - Epoch(train) [50][480/1879] lr: 2.0000e-02 eta: 15:40:07 time: 0.5783 data_time: 0.0238 memory: 13723 grad_norm: 3.9714 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2018 loss: 1.2018 2022/08/09 09:10:54 - mmengine - INFO - Epoch(train) [50][500/1879] lr: 2.0000e-02 eta: 15:39:55 time: 0.5697 data_time: 0.0249 memory: 13723 grad_norm: 4.0248 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.3277 loss: 1.3277 2022/08/09 09:11:05 - mmengine - INFO - Epoch(train) [50][520/1879] lr: 2.0000e-02 eta: 15:39:43 time: 0.5714 data_time: 0.0234 memory: 13723 grad_norm: 4.0874 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4271 loss: 1.4271 2022/08/09 09:11:16 - mmengine - INFO - Epoch(train) [50][540/1879] lr: 2.0000e-02 eta: 15:39:30 time: 0.5626 data_time: 0.0248 memory: 13723 grad_norm: 3.9020 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2523 loss: 1.2523 2022/08/09 09:11:28 - mmengine - INFO - Epoch(train) [50][560/1879] lr: 2.0000e-02 eta: 15:39:18 time: 0.5659 data_time: 0.0245 memory: 13723 grad_norm: 3.9932 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5427 loss: 1.5427 2022/08/09 09:11:39 - mmengine - INFO - Epoch(train) [50][580/1879] lr: 2.0000e-02 eta: 15:39:05 time: 0.5604 data_time: 0.0259 memory: 13723 grad_norm: 4.1692 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5852 loss: 1.5852 2022/08/09 09:11:50 - mmengine - INFO - Epoch(train) [50][600/1879] lr: 2.0000e-02 eta: 15:38:53 time: 0.5668 data_time: 0.0228 memory: 13723 grad_norm: 3.9579 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5333 loss: 1.5333 2022/08/09 09:12:01 - mmengine - INFO - Epoch(train) [50][620/1879] lr: 2.0000e-02 eta: 15:38:41 time: 0.5631 data_time: 0.0246 memory: 13723 grad_norm: 4.0284 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4223 loss: 1.4223 2022/08/09 09:12:13 - mmengine - INFO - Epoch(train) [50][640/1879] lr: 2.0000e-02 eta: 15:38:28 time: 0.5622 data_time: 0.0243 memory: 13723 grad_norm: 4.1193 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5456 loss: 1.5456 2022/08/09 09:12:24 - mmengine - INFO - Epoch(train) [50][660/1879] lr: 2.0000e-02 eta: 15:38:16 time: 0.5610 data_time: 0.0232 memory: 13723 grad_norm: 3.9875 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3356 loss: 1.3356 2022/08/09 09:12:35 - mmengine - INFO - Epoch(train) [50][680/1879] lr: 2.0000e-02 eta: 15:38:03 time: 0.5657 data_time: 0.0247 memory: 13723 grad_norm: 3.9898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4016 loss: 1.4016 2022/08/09 09:12:47 - mmengine - INFO - Epoch(train) [50][700/1879] lr: 2.0000e-02 eta: 15:37:51 time: 0.5644 data_time: 0.0266 memory: 13723 grad_norm: 3.9957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4915 loss: 1.4915 2022/08/09 09:12:58 - mmengine - INFO - Epoch(train) [50][720/1879] lr: 2.0000e-02 eta: 15:37:39 time: 0.5633 data_time: 0.0252 memory: 13723 grad_norm: 4.0950 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1624 loss: 1.1624 2022/08/09 09:13:09 - mmengine - INFO - Epoch(train) [50][740/1879] lr: 2.0000e-02 eta: 15:37:26 time: 0.5664 data_time: 0.0264 memory: 13723 grad_norm: 4.1342 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4729 loss: 1.4729 2022/08/09 09:13:20 - mmengine - INFO - Epoch(train) [50][760/1879] lr: 2.0000e-02 eta: 15:37:14 time: 0.5613 data_time: 0.0245 memory: 13723 grad_norm: 3.9455 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3347 loss: 1.3347 2022/08/09 09:13:32 - mmengine - INFO - Epoch(train) [50][780/1879] lr: 2.0000e-02 eta: 15:37:02 time: 0.5661 data_time: 0.0243 memory: 13723 grad_norm: 3.9713 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2757 loss: 1.2757 2022/08/09 09:13:43 - mmengine - INFO - Epoch(train) [50][800/1879] lr: 2.0000e-02 eta: 15:36:49 time: 0.5611 data_time: 0.0261 memory: 13723 grad_norm: 4.0510 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3478 loss: 1.3478 2022/08/09 09:13:55 - mmengine - INFO - Epoch(train) [50][820/1879] lr: 2.0000e-02 eta: 15:36:37 time: 0.5796 data_time: 0.0405 memory: 13723 grad_norm: 4.0582 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4809 loss: 1.4809 2022/08/09 09:14:06 - mmengine - INFO - Epoch(train) [50][840/1879] lr: 2.0000e-02 eta: 15:36:25 time: 0.5737 data_time: 0.0248 memory: 13723 grad_norm: 4.0116 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4064 loss: 1.4064 2022/08/09 09:14:17 - mmengine - INFO - Epoch(train) [50][860/1879] lr: 2.0000e-02 eta: 15:36:12 time: 0.5683 data_time: 0.0271 memory: 13723 grad_norm: 4.0665 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4137 loss: 1.4137 2022/08/09 09:14:29 - mmengine - INFO - Epoch(train) [50][880/1879] lr: 2.0000e-02 eta: 15:36:00 time: 0.5658 data_time: 0.0253 memory: 13723 grad_norm: 4.1017 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3892 loss: 1.3892 2022/08/09 09:14:40 - mmengine - INFO - Epoch(train) [50][900/1879] lr: 2.0000e-02 eta: 15:35:48 time: 0.5592 data_time: 0.0229 memory: 13723 grad_norm: 4.1085 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3149 loss: 1.3149 2022/08/09 09:14:51 - mmengine - INFO - Epoch(train) [50][920/1879] lr: 2.0000e-02 eta: 15:35:35 time: 0.5634 data_time: 0.0247 memory: 13723 grad_norm: 4.0965 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5157 loss: 1.5157 2022/08/09 09:14:56 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 09:15:03 - mmengine - INFO - Epoch(train) [50][940/1879] lr: 2.0000e-02 eta: 15:35:23 time: 0.5712 data_time: 0.0353 memory: 13723 grad_norm: 4.0399 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3256 loss: 1.3256 2022/08/09 09:15:15 - mmengine - INFO - Epoch(train) [50][960/1879] lr: 2.0000e-02 eta: 15:35:11 time: 0.5937 data_time: 0.0197 memory: 13723 grad_norm: 4.0864 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4689 loss: 1.4689 2022/08/09 09:15:26 - mmengine - INFO - Epoch(train) [50][980/1879] lr: 2.0000e-02 eta: 15:34:59 time: 0.5952 data_time: 0.0263 memory: 13723 grad_norm: 4.0879 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4389 loss: 1.4389 2022/08/09 09:15:38 - mmengine - INFO - Epoch(train) [50][1000/1879] lr: 2.0000e-02 eta: 15:34:47 time: 0.5844 data_time: 0.0271 memory: 13723 grad_norm: 3.9237 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3924 loss: 1.3924 2022/08/09 09:15:50 - mmengine - INFO - Epoch(train) [50][1020/1879] lr: 2.0000e-02 eta: 15:34:35 time: 0.5818 data_time: 0.0262 memory: 13723 grad_norm: 4.0514 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3553 loss: 1.3553 2022/08/09 09:16:01 - mmengine - INFO - Epoch(train) [50][1040/1879] lr: 2.0000e-02 eta: 15:34:23 time: 0.5819 data_time: 0.0244 memory: 13723 grad_norm: 3.9491 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4604 loss: 1.4604 2022/08/09 09:16:13 - mmengine - INFO - Epoch(train) [50][1060/1879] lr: 2.0000e-02 eta: 15:34:11 time: 0.5687 data_time: 0.0235 memory: 13723 grad_norm: 4.0363 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2787 loss: 1.2787 2022/08/09 09:16:24 - mmengine - INFO - Epoch(train) [50][1080/1879] lr: 2.0000e-02 eta: 15:33:59 time: 0.5673 data_time: 0.0255 memory: 13723 grad_norm: 4.1786 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2227 loss: 1.2227 2022/08/09 09:16:35 - mmengine - INFO - Epoch(train) [50][1100/1879] lr: 2.0000e-02 eta: 15:33:46 time: 0.5587 data_time: 0.0231 memory: 13723 grad_norm: 4.0054 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3753 loss: 1.3753 2022/08/09 09:16:47 - mmengine - INFO - Epoch(train) [50][1120/1879] lr: 2.0000e-02 eta: 15:33:34 time: 0.5686 data_time: 0.0252 memory: 13723 grad_norm: 4.0274 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2830 loss: 1.2830 2022/08/09 09:16:58 - mmengine - INFO - Epoch(train) [50][1140/1879] lr: 2.0000e-02 eta: 15:33:22 time: 0.5676 data_time: 0.0247 memory: 13723 grad_norm: 4.1258 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6032 loss: 1.6032 2022/08/09 09:17:09 - mmengine - INFO - Epoch(train) [50][1160/1879] lr: 2.0000e-02 eta: 15:33:09 time: 0.5632 data_time: 0.0269 memory: 13723 grad_norm: 3.9870 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4728 loss: 1.4728 2022/08/09 09:17:21 - mmengine - INFO - Epoch(train) [50][1180/1879] lr: 2.0000e-02 eta: 15:32:57 time: 0.5645 data_time: 0.0220 memory: 13723 grad_norm: 3.8507 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2242 loss: 1.2242 2022/08/09 09:17:32 - mmengine - INFO - Epoch(train) [50][1200/1879] lr: 2.0000e-02 eta: 15:32:44 time: 0.5560 data_time: 0.0222 memory: 13723 grad_norm: 4.0153 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4091 loss: 1.4091 2022/08/09 09:17:43 - mmengine - INFO - Epoch(train) [50][1220/1879] lr: 2.0000e-02 eta: 15:32:32 time: 0.5681 data_time: 0.0268 memory: 13723 grad_norm: 4.0243 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2073 loss: 1.2073 2022/08/09 09:17:55 - mmengine - INFO - Epoch(train) [50][1240/1879] lr: 2.0000e-02 eta: 15:32:20 time: 0.5851 data_time: 0.0367 memory: 13723 grad_norm: 4.0566 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4852 loss: 1.4852 2022/08/09 09:18:06 - mmengine - INFO - Epoch(train) [50][1260/1879] lr: 2.0000e-02 eta: 15:32:08 time: 0.5652 data_time: 0.0231 memory: 13723 grad_norm: 3.9930 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.2687 loss: 1.2687 2022/08/09 09:18:18 - mmengine - INFO - Epoch(train) [50][1280/1879] lr: 2.0000e-02 eta: 15:31:56 time: 0.5722 data_time: 0.0278 memory: 13723 grad_norm: 4.0155 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2775 loss: 1.2775 2022/08/09 09:18:29 - mmengine - INFO - Epoch(train) [50][1300/1879] lr: 2.0000e-02 eta: 15:31:43 time: 0.5622 data_time: 0.0235 memory: 13723 grad_norm: 4.0394 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3020 loss: 1.3020 2022/08/09 09:18:40 - mmengine - INFO - Epoch(train) [50][1320/1879] lr: 2.0000e-02 eta: 15:31:31 time: 0.5724 data_time: 0.0306 memory: 13723 grad_norm: 4.1607 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3356 loss: 1.3356 2022/08/09 09:18:52 - mmengine - INFO - Epoch(train) [50][1340/1879] lr: 2.0000e-02 eta: 15:31:18 time: 0.5585 data_time: 0.0216 memory: 13723 grad_norm: 4.0566 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3063 loss: 1.3063 2022/08/09 09:19:03 - mmengine - INFO - Epoch(train) [50][1360/1879] lr: 2.0000e-02 eta: 15:31:06 time: 0.5624 data_time: 0.0276 memory: 13723 grad_norm: 4.0673 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5662 loss: 1.5662 2022/08/09 09:19:14 - mmengine - INFO - Epoch(train) [50][1380/1879] lr: 2.0000e-02 eta: 15:30:54 time: 0.5608 data_time: 0.0225 memory: 13723 grad_norm: 4.0079 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3468 loss: 1.3468 2022/08/09 09:19:25 - mmengine - INFO - Epoch(train) [50][1400/1879] lr: 2.0000e-02 eta: 15:30:41 time: 0.5662 data_time: 0.0269 memory: 13723 grad_norm: 4.1698 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4141 loss: 1.4141 2022/08/09 09:19:37 - mmengine - INFO - Epoch(train) [50][1420/1879] lr: 2.0000e-02 eta: 15:30:29 time: 0.5631 data_time: 0.0238 memory: 13723 grad_norm: 4.1342 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3584 loss: 1.3584 2022/08/09 09:19:48 - mmengine - INFO - Epoch(train) [50][1440/1879] lr: 2.0000e-02 eta: 15:30:17 time: 0.5666 data_time: 0.0239 memory: 13723 grad_norm: 3.9570 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3211 loss: 1.3211 2022/08/09 09:19:59 - mmengine - INFO - Epoch(train) [50][1460/1879] lr: 2.0000e-02 eta: 15:30:04 time: 0.5627 data_time: 0.0246 memory: 13723 grad_norm: 4.0069 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5314 loss: 1.5314 2022/08/09 09:20:11 - mmengine - INFO - Epoch(train) [50][1480/1879] lr: 2.0000e-02 eta: 15:29:52 time: 0.5585 data_time: 0.0236 memory: 13723 grad_norm: 3.9063 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4636 loss: 1.4636 2022/08/09 09:20:22 - mmengine - INFO - Epoch(train) [50][1500/1879] lr: 2.0000e-02 eta: 15:29:40 time: 0.5945 data_time: 0.0422 memory: 13723 grad_norm: 4.0165 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2553 loss: 1.2553 2022/08/09 09:20:34 - mmengine - INFO - Epoch(train) [50][1520/1879] lr: 2.0000e-02 eta: 15:29:28 time: 0.5846 data_time: 0.0250 memory: 13723 grad_norm: 4.0493 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4743 loss: 1.4743 2022/08/09 09:20:46 - mmengine - INFO - Epoch(train) [50][1540/1879] lr: 2.0000e-02 eta: 15:29:16 time: 0.5805 data_time: 0.0282 memory: 13723 grad_norm: 4.0192 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5699 loss: 1.5699 2022/08/09 09:20:58 - mmengine - INFO - Epoch(train) [50][1560/1879] lr: 2.0000e-02 eta: 15:29:04 time: 0.6019 data_time: 0.0259 memory: 13723 grad_norm: 3.9516 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4735 loss: 1.4735 2022/08/09 09:21:09 - mmengine - INFO - Epoch(train) [50][1580/1879] lr: 2.0000e-02 eta: 15:28:52 time: 0.5695 data_time: 0.0253 memory: 13723 grad_norm: 3.8609 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2215 loss: 1.2215 2022/08/09 09:21:20 - mmengine - INFO - Epoch(train) [50][1600/1879] lr: 2.0000e-02 eta: 15:28:40 time: 0.5623 data_time: 0.0241 memory: 13723 grad_norm: 4.0935 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4717 loss: 1.4717 2022/08/09 09:21:32 - mmengine - INFO - Epoch(train) [50][1620/1879] lr: 2.0000e-02 eta: 15:28:27 time: 0.5664 data_time: 0.0254 memory: 13723 grad_norm: 3.9984 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3456 loss: 1.3456 2022/08/09 09:21:43 - mmengine - INFO - Epoch(train) [50][1640/1879] lr: 2.0000e-02 eta: 15:28:15 time: 0.5713 data_time: 0.0342 memory: 13723 grad_norm: 3.9779 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3743 loss: 1.3743 2022/08/09 09:21:55 - mmengine - INFO - Epoch(train) [50][1660/1879] lr: 2.0000e-02 eta: 15:28:03 time: 0.5620 data_time: 0.0229 memory: 13723 grad_norm: 3.9684 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2837 loss: 1.2837 2022/08/09 09:22:06 - mmengine - INFO - Epoch(train) [50][1680/1879] lr: 2.0000e-02 eta: 15:27:50 time: 0.5660 data_time: 0.0242 memory: 13723 grad_norm: 4.0319 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.4065 loss: 1.4065 2022/08/09 09:22:17 - mmengine - INFO - Epoch(train) [50][1700/1879] lr: 2.0000e-02 eta: 15:27:38 time: 0.5633 data_time: 0.0237 memory: 13723 grad_norm: 4.0968 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2616 loss: 1.2616 2022/08/09 09:22:28 - mmengine - INFO - Epoch(train) [50][1720/1879] lr: 2.0000e-02 eta: 15:27:25 time: 0.5626 data_time: 0.0232 memory: 13723 grad_norm: 4.0961 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4909 loss: 1.4909 2022/08/09 09:22:40 - mmengine - INFO - Epoch(train) [50][1740/1879] lr: 2.0000e-02 eta: 15:27:13 time: 0.5647 data_time: 0.0249 memory: 13723 grad_norm: 4.0432 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3563 loss: 1.3563 2022/08/09 09:22:51 - mmengine - INFO - Epoch(train) [50][1760/1879] lr: 2.0000e-02 eta: 15:27:01 time: 0.5624 data_time: 0.0235 memory: 13723 grad_norm: 3.9320 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1022 loss: 1.1022 2022/08/09 09:23:02 - mmengine - INFO - Epoch(train) [50][1780/1879] lr: 2.0000e-02 eta: 15:26:48 time: 0.5604 data_time: 0.0238 memory: 13723 grad_norm: 3.9929 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4599 loss: 1.4599 2022/08/09 09:23:14 - mmengine - INFO - Epoch(train) [50][1800/1879] lr: 2.0000e-02 eta: 15:26:36 time: 0.5676 data_time: 0.0237 memory: 13723 grad_norm: 3.9775 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3816 loss: 1.3816 2022/08/09 09:23:25 - mmengine - INFO - Epoch(train) [50][1820/1879] lr: 2.0000e-02 eta: 15:26:24 time: 0.5643 data_time: 0.0250 memory: 13723 grad_norm: 4.0229 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3146 loss: 1.3146 2022/08/09 09:23:36 - mmengine - INFO - Epoch(train) [50][1840/1879] lr: 2.0000e-02 eta: 15:26:11 time: 0.5619 data_time: 0.0225 memory: 13723 grad_norm: 4.0754 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5504 loss: 1.5504 2022/08/09 09:23:48 - mmengine - INFO - Epoch(train) [50][1860/1879] lr: 2.0000e-02 eta: 15:25:59 time: 0.5845 data_time: 0.0496 memory: 13723 grad_norm: 3.8297 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3048 loss: 1.3048 2022/08/09 09:23:59 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 09:23:59 - mmengine - INFO - Epoch(train) [50][1879/1879] lr: 2.0000e-02 eta: 15:25:59 time: 0.5698 data_time: 0.0372 memory: 13723 grad_norm: 4.0548 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.3443 loss: 1.3443 2022/08/09 09:24:12 - mmengine - INFO - Epoch(val) [50][20/155] eta: 0:01:29 time: 0.6650 data_time: 0.5233 memory: 1829 2022/08/09 09:24:21 - mmengine - INFO - Epoch(val) [50][40/155] eta: 0:00:52 time: 0.4604 data_time: 0.3187 memory: 1829 2022/08/09 09:24:33 - mmengine - INFO - Epoch(val) [50][60/155] eta: 0:00:57 time: 0.6036 data_time: 0.4641 memory: 1829 2022/08/09 09:24:42 - mmengine - INFO - Epoch(val) [50][80/155] eta: 0:00:33 time: 0.4439 data_time: 0.3039 memory: 1829 2022/08/09 09:24:54 - mmengine - INFO - Epoch(val) [50][100/155] eta: 0:00:33 time: 0.6141 data_time: 0.4741 memory: 1829 2022/08/09 09:25:05 - mmengine - INFO - Epoch(val) [50][120/155] eta: 0:00:17 time: 0.5038 data_time: 0.3646 memory: 1829 2022/08/09 09:25:19 - mmengine - INFO - Epoch(val) [50][140/155] eta: 0:00:10 time: 0.7134 data_time: 0.5747 memory: 1829 2022/08/09 09:25:26 - mmengine - INFO - Epoch(val) [50][155/155] acc/top1: 0.6384 acc/top5: 0.8544 acc/mean1: 0.6384 2022/08/09 09:25:43 - mmengine - INFO - Epoch(train) [51][20/1879] lr: 2.0000e-03 eta: 15:25:30 time: 0.8211 data_time: 0.2185 memory: 13723 grad_norm: 3.8359 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3629 loss: 1.3629 2022/08/09 09:25:54 - mmengine - INFO - Epoch(train) [51][40/1879] lr: 2.0000e-03 eta: 15:25:17 time: 0.5809 data_time: 0.0357 memory: 13723 grad_norm: 3.8008 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1737 loss: 1.1737 2022/08/09 09:26:00 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 09:26:06 - mmengine - INFO - Epoch(train) [51][60/1879] lr: 2.0000e-03 eta: 15:25:05 time: 0.5692 data_time: 0.0245 memory: 13723 grad_norm: 3.6475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2214 loss: 1.2214 2022/08/09 09:26:17 - mmengine - INFO - Epoch(train) [51][80/1879] lr: 2.0000e-03 eta: 15:24:53 time: 0.5745 data_time: 0.0227 memory: 13723 grad_norm: 3.5951 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1130 loss: 1.1130 2022/08/09 09:26:28 - mmengine - INFO - Epoch(train) [51][100/1879] lr: 2.0000e-03 eta: 15:24:41 time: 0.5636 data_time: 0.0237 memory: 13723 grad_norm: 3.5933 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1961 loss: 1.1961 2022/08/09 09:26:40 - mmengine - INFO - Epoch(train) [51][120/1879] lr: 2.0000e-03 eta: 15:24:28 time: 0.5666 data_time: 0.0256 memory: 13723 grad_norm: 3.7405 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2539 loss: 1.2539 2022/08/09 09:26:51 - mmengine - INFO - Epoch(train) [51][140/1879] lr: 2.0000e-03 eta: 15:24:16 time: 0.5620 data_time: 0.0228 memory: 13723 grad_norm: 3.6846 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0142 loss: 1.0142 2022/08/09 09:27:02 - mmengine - INFO - Epoch(train) [51][160/1879] lr: 2.0000e-03 eta: 15:24:04 time: 0.5669 data_time: 0.0251 memory: 13723 grad_norm: 3.6283 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0366 loss: 1.0366 2022/08/09 09:27:14 - mmengine - INFO - Epoch(train) [51][180/1879] lr: 2.0000e-03 eta: 15:23:51 time: 0.5626 data_time: 0.0234 memory: 13723 grad_norm: 3.6724 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2116 loss: 1.2116 2022/08/09 09:27:25 - mmengine - INFO - Epoch(train) [51][200/1879] lr: 2.0000e-03 eta: 15:23:39 time: 0.5629 data_time: 0.0242 memory: 13723 grad_norm: 3.6073 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1448 loss: 1.1448 2022/08/09 09:27:36 - mmengine - INFO - Epoch(train) [51][220/1879] lr: 2.0000e-03 eta: 15:23:27 time: 0.5638 data_time: 0.0237 memory: 13723 grad_norm: 3.6031 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9616 loss: 0.9616 2022/08/09 09:27:47 - mmengine - INFO - Epoch(train) [51][240/1879] lr: 2.0000e-03 eta: 15:23:14 time: 0.5657 data_time: 0.0260 memory: 13723 grad_norm: 3.5810 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9496 loss: 0.9496 2022/08/09 09:27:59 - mmengine - INFO - Epoch(train) [51][260/1879] lr: 2.0000e-03 eta: 15:23:02 time: 0.5848 data_time: 0.0390 memory: 13723 grad_norm: 3.6421 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1939 loss: 1.1939 2022/08/09 09:28:10 - mmengine - INFO - Epoch(train) [51][280/1879] lr: 2.0000e-03 eta: 15:22:50 time: 0.5666 data_time: 0.0233 memory: 13723 grad_norm: 3.7978 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0218 loss: 1.0218 2022/08/09 09:28:22 - mmengine - INFO - Epoch(train) [51][300/1879] lr: 2.0000e-03 eta: 15:22:38 time: 0.5649 data_time: 0.0249 memory: 13723 grad_norm: 3.6571 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9311 loss: 0.9311 2022/08/09 09:28:33 - mmengine - INFO - Epoch(train) [51][320/1879] lr: 2.0000e-03 eta: 15:22:25 time: 0.5699 data_time: 0.0251 memory: 13723 grad_norm: 3.5183 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9741 loss: 0.9741 2022/08/09 09:28:44 - mmengine - INFO - Epoch(train) [51][340/1879] lr: 2.0000e-03 eta: 15:22:13 time: 0.5630 data_time: 0.0254 memory: 13723 grad_norm: 3.5951 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.0535 loss: 1.0535 2022/08/09 09:28:56 - mmengine - INFO - Epoch(train) [51][360/1879] lr: 2.0000e-03 eta: 15:22:01 time: 0.5610 data_time: 0.0229 memory: 13723 grad_norm: 3.5301 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0241 loss: 1.0241 2022/08/09 09:29:07 - mmengine - INFO - Epoch(train) [51][380/1879] lr: 2.0000e-03 eta: 15:21:48 time: 0.5701 data_time: 0.0249 memory: 13723 grad_norm: 3.5922 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0538 loss: 1.0538 2022/08/09 09:29:18 - mmengine - INFO - Epoch(train) [51][400/1879] lr: 2.0000e-03 eta: 15:21:36 time: 0.5622 data_time: 0.0253 memory: 13723 grad_norm: 3.5471 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0262 loss: 1.0262 2022/08/09 09:29:30 - mmengine - INFO - Epoch(train) [51][420/1879] lr: 2.0000e-03 eta: 15:21:24 time: 0.5652 data_time: 0.0238 memory: 13723 grad_norm: 3.5976 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0898 loss: 1.0898 2022/08/09 09:29:41 - mmengine - INFO - Epoch(train) [51][440/1879] lr: 2.0000e-03 eta: 15:21:11 time: 0.5647 data_time: 0.0248 memory: 13723 grad_norm: 3.7401 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0791 loss: 1.0791 2022/08/09 09:29:52 - mmengine - INFO - Epoch(train) [51][460/1879] lr: 2.0000e-03 eta: 15:20:59 time: 0.5620 data_time: 0.0240 memory: 13723 grad_norm: 3.5340 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0712 loss: 1.0712 2022/08/09 09:30:04 - mmengine - INFO - Epoch(train) [51][480/1879] lr: 2.0000e-03 eta: 15:20:47 time: 0.5659 data_time: 0.0228 memory: 13723 grad_norm: 3.6279 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1557 loss: 1.1557 2022/08/09 09:30:16 - mmengine - INFO - Epoch(train) [51][500/1879] lr: 2.0000e-03 eta: 15:20:35 time: 0.5997 data_time: 0.0390 memory: 13723 grad_norm: 3.6920 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2411 loss: 1.2411 2022/08/09 09:30:27 - mmengine - INFO - Epoch(train) [51][520/1879] lr: 2.0000e-03 eta: 15:20:23 time: 0.5867 data_time: 0.0262 memory: 13723 grad_norm: 3.6029 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1931 loss: 1.1931 2022/08/09 09:30:39 - mmengine - INFO - Epoch(train) [51][540/1879] lr: 2.0000e-03 eta: 15:20:11 time: 0.5968 data_time: 0.0257 memory: 13723 grad_norm: 3.7657 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0525 loss: 1.0525 2022/08/09 09:30:51 - mmengine - INFO - Epoch(train) [51][560/1879] lr: 2.0000e-03 eta: 15:19:59 time: 0.5896 data_time: 0.0251 memory: 13723 grad_norm: 3.5583 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1436 loss: 1.1436 2022/08/09 09:31:03 - mmengine - INFO - Epoch(train) [51][580/1879] lr: 2.0000e-03 eta: 15:19:47 time: 0.5753 data_time: 0.0260 memory: 13723 grad_norm: 3.6257 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0227 loss: 1.0227 2022/08/09 09:31:14 - mmengine - INFO - Epoch(train) [51][600/1879] lr: 2.0000e-03 eta: 15:19:35 time: 0.5646 data_time: 0.0228 memory: 13723 grad_norm: 3.7186 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0843 loss: 1.0843 2022/08/09 09:31:25 - mmengine - INFO - Epoch(train) [51][620/1879] lr: 2.0000e-03 eta: 15:19:23 time: 0.5653 data_time: 0.0243 memory: 13723 grad_norm: 3.5979 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1304 loss: 1.1304 2022/08/09 09:31:36 - mmengine - INFO - Epoch(train) [51][640/1879] lr: 2.0000e-03 eta: 15:19:10 time: 0.5608 data_time: 0.0242 memory: 13723 grad_norm: 3.5684 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9523 loss: 0.9523 2022/08/09 09:31:48 - mmengine - INFO - Epoch(train) [51][660/1879] lr: 2.0000e-03 eta: 15:18:58 time: 0.5684 data_time: 0.0258 memory: 13723 grad_norm: 3.6122 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0369 loss: 1.0369 2022/08/09 09:31:59 - mmengine - INFO - Epoch(train) [51][680/1879] lr: 2.0000e-03 eta: 15:18:46 time: 0.5652 data_time: 0.0258 memory: 13723 grad_norm: 3.6335 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9803 loss: 0.9803 2022/08/09 09:32:10 - mmengine - INFO - Epoch(train) [51][700/1879] lr: 2.0000e-03 eta: 15:18:33 time: 0.5581 data_time: 0.0233 memory: 13723 grad_norm: 3.7138 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1130 loss: 1.1130 2022/08/09 09:32:22 - mmengine - INFO - Epoch(train) [51][720/1879] lr: 2.0000e-03 eta: 15:18:21 time: 0.5639 data_time: 0.0281 memory: 13723 grad_norm: 3.6593 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1123 loss: 1.1123 2022/08/09 09:32:33 - mmengine - INFO - Epoch(train) [51][740/1879] lr: 2.0000e-03 eta: 15:18:09 time: 0.5760 data_time: 0.0245 memory: 13723 grad_norm: 3.6885 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2544 loss: 1.2544 2022/08/09 09:32:44 - mmengine - INFO - Epoch(train) [51][760/1879] lr: 2.0000e-03 eta: 15:17:56 time: 0.5644 data_time: 0.0234 memory: 13723 grad_norm: 3.7447 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1363 loss: 1.1363 2022/08/09 09:32:56 - mmengine - INFO - Epoch(train) [51][780/1879] lr: 2.0000e-03 eta: 15:17:44 time: 0.5669 data_time: 0.0234 memory: 13723 grad_norm: 3.7508 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0217 loss: 1.0217 2022/08/09 09:33:07 - mmengine - INFO - Epoch(train) [51][800/1879] lr: 2.0000e-03 eta: 15:17:32 time: 0.5679 data_time: 0.0265 memory: 13723 grad_norm: 3.6081 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1773 loss: 1.1773 2022/08/09 09:33:19 - mmengine - INFO - Epoch(train) [51][820/1879] lr: 2.0000e-03 eta: 15:17:19 time: 0.5670 data_time: 0.0272 memory: 13723 grad_norm: 3.6634 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1298 loss: 1.1298 2022/08/09 09:33:30 - mmengine - INFO - Epoch(train) [51][840/1879] lr: 2.0000e-03 eta: 15:17:07 time: 0.5663 data_time: 0.0264 memory: 13723 grad_norm: 3.6740 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0387 loss: 1.0387 2022/08/09 09:33:41 - mmengine - INFO - Epoch(train) [51][860/1879] lr: 2.0000e-03 eta: 15:16:55 time: 0.5630 data_time: 0.0238 memory: 13723 grad_norm: 3.6890 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1439 loss: 1.1439 2022/08/09 09:33:53 - mmengine - INFO - Epoch(train) [51][880/1879] lr: 2.0000e-03 eta: 15:16:43 time: 0.5685 data_time: 0.0262 memory: 13723 grad_norm: 3.6593 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0875 loss: 1.0875 2022/08/09 09:34:04 - mmengine - INFO - Epoch(train) [51][900/1879] lr: 2.0000e-03 eta: 15:16:30 time: 0.5605 data_time: 0.0224 memory: 13723 grad_norm: 3.6260 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0293 loss: 1.0293 2022/08/09 09:34:15 - mmengine - INFO - Epoch(train) [51][920/1879] lr: 2.0000e-03 eta: 15:16:18 time: 0.5681 data_time: 0.0247 memory: 13723 grad_norm: 3.7066 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9454 loss: 0.9454 2022/08/09 09:34:26 - mmengine - INFO - Epoch(train) [51][940/1879] lr: 2.0000e-03 eta: 15:16:05 time: 0.5632 data_time: 0.0241 memory: 13723 grad_norm: 3.7834 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1420 loss: 1.1420 2022/08/09 09:34:38 - mmengine - INFO - Epoch(train) [51][960/1879] lr: 2.0000e-03 eta: 15:15:53 time: 0.5658 data_time: 0.0252 memory: 13723 grad_norm: 3.6168 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9994 loss: 0.9994 2022/08/09 09:34:49 - mmengine - INFO - Epoch(train) [51][980/1879] lr: 2.0000e-03 eta: 15:15:41 time: 0.5698 data_time: 0.0267 memory: 13723 grad_norm: 3.6162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8041 loss: 0.8041 2022/08/09 09:35:00 - mmengine - INFO - Epoch(train) [51][1000/1879] lr: 2.0000e-03 eta: 15:15:29 time: 0.5611 data_time: 0.0223 memory: 13723 grad_norm: 3.6009 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0427 loss: 1.0427 2022/08/09 09:35:14 - mmengine - INFO - Epoch(train) [51][1020/1879] lr: 2.0000e-03 eta: 15:15:18 time: 0.6584 data_time: 0.0277 memory: 13723 grad_norm: 3.6922 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0603 loss: 1.0603 2022/08/09 09:35:26 - mmengine - INFO - Epoch(train) [51][1040/1879] lr: 2.0000e-03 eta: 15:15:06 time: 0.6031 data_time: 0.0448 memory: 13723 grad_norm: 3.7493 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8862 loss: 0.8862 2022/08/09 09:35:32 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 09:35:38 - mmengine - INFO - Epoch(train) [51][1060/1879] lr: 2.0000e-03 eta: 15:14:56 time: 0.6370 data_time: 0.0656 memory: 13723 grad_norm: 3.5218 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9319 loss: 0.9319 2022/08/09 09:35:50 - mmengine - INFO - Epoch(train) [51][1080/1879] lr: 2.0000e-03 eta: 15:14:44 time: 0.5816 data_time: 0.0256 memory: 13723 grad_norm: 3.6372 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0735 loss: 1.0735 2022/08/09 09:36:01 - mmengine - INFO - Epoch(train) [51][1100/1879] lr: 2.0000e-03 eta: 15:14:31 time: 0.5684 data_time: 0.0250 memory: 13723 grad_norm: 3.7164 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1506 loss: 1.1506 2022/08/09 09:36:13 - mmengine - INFO - Epoch(train) [51][1120/1879] lr: 2.0000e-03 eta: 15:14:19 time: 0.5735 data_time: 0.0217 memory: 13723 grad_norm: 3.5409 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 0.9957 loss: 0.9957 2022/08/09 09:36:24 - mmengine - INFO - Epoch(train) [51][1140/1879] lr: 2.0000e-03 eta: 15:14:07 time: 0.5584 data_time: 0.0223 memory: 13723 grad_norm: 3.6021 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0440 loss: 1.0440 2022/08/09 09:36:35 - mmengine - INFO - Epoch(train) [51][1160/1879] lr: 2.0000e-03 eta: 15:13:54 time: 0.5682 data_time: 0.0241 memory: 13723 grad_norm: 3.5935 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8350 loss: 0.8350 2022/08/09 09:36:47 - mmengine - INFO - Epoch(train) [51][1180/1879] lr: 2.0000e-03 eta: 15:13:42 time: 0.5615 data_time: 0.0245 memory: 13723 grad_norm: 3.7194 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0505 loss: 1.0505 2022/08/09 09:36:58 - mmengine - INFO - Epoch(train) [51][1200/1879] lr: 2.0000e-03 eta: 15:13:30 time: 0.5663 data_time: 0.0263 memory: 13723 grad_norm: 3.6865 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0529 loss: 1.0529 2022/08/09 09:37:10 - mmengine - INFO - Epoch(train) [51][1220/1879] lr: 2.0000e-03 eta: 15:13:18 time: 0.5750 data_time: 0.0256 memory: 13723 grad_norm: 3.6467 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8998 loss: 0.8998 2022/08/09 09:37:21 - mmengine - INFO - Epoch(train) [51][1240/1879] lr: 2.0000e-03 eta: 15:13:05 time: 0.5654 data_time: 0.0236 memory: 13723 grad_norm: 3.6051 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9394 loss: 0.9394 2022/08/09 09:37:32 - mmengine - INFO - Epoch(train) [51][1260/1879] lr: 2.0000e-03 eta: 15:12:53 time: 0.5710 data_time: 0.0253 memory: 13723 grad_norm: 3.7541 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1690 loss: 1.1690 2022/08/09 09:37:44 - mmengine - INFO - Epoch(train) [51][1280/1879] lr: 2.0000e-03 eta: 15:12:41 time: 0.5639 data_time: 0.0242 memory: 13723 grad_norm: 3.5785 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0739 loss: 1.0739 2022/08/09 09:37:55 - mmengine - INFO - Epoch(train) [51][1300/1879] lr: 2.0000e-03 eta: 15:12:29 time: 0.5740 data_time: 0.0371 memory: 13723 grad_norm: 3.7478 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0796 loss: 1.0796 2022/08/09 09:38:07 - mmengine - INFO - Epoch(train) [51][1320/1879] lr: 2.0000e-03 eta: 15:12:16 time: 0.5766 data_time: 0.0242 memory: 13723 grad_norm: 3.7594 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2080 loss: 1.2080 2022/08/09 09:38:18 - mmengine - INFO - Epoch(train) [51][1340/1879] lr: 2.0000e-03 eta: 15:12:04 time: 0.5632 data_time: 0.0220 memory: 13723 grad_norm: 3.6186 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9862 loss: 0.9862 2022/08/09 09:38:29 - mmengine - INFO - Epoch(train) [51][1360/1879] lr: 2.0000e-03 eta: 15:11:52 time: 0.5647 data_time: 0.0243 memory: 13723 grad_norm: 3.7383 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1252 loss: 1.1252 2022/08/09 09:38:41 - mmengine - INFO - Epoch(train) [51][1380/1879] lr: 2.0000e-03 eta: 15:11:40 time: 0.5697 data_time: 0.0257 memory: 13723 grad_norm: 3.7278 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1737 loss: 1.1737 2022/08/09 09:38:52 - mmengine - INFO - Epoch(train) [51][1400/1879] lr: 2.0000e-03 eta: 15:11:27 time: 0.5631 data_time: 0.0248 memory: 13723 grad_norm: 3.5432 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9795 loss: 0.9795 2022/08/09 09:39:03 - mmengine - INFO - Epoch(train) [51][1420/1879] lr: 2.0000e-03 eta: 15:11:15 time: 0.5649 data_time: 0.0244 memory: 13723 grad_norm: 3.7193 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9689 loss: 0.9689 2022/08/09 09:39:15 - mmengine - INFO - Epoch(train) [51][1440/1879] lr: 2.0000e-03 eta: 15:11:03 time: 0.5675 data_time: 0.0258 memory: 13723 grad_norm: 3.5858 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8813 loss: 0.8813 2022/08/09 09:39:26 - mmengine - INFO - Epoch(train) [51][1460/1879] lr: 2.0000e-03 eta: 15:10:50 time: 0.5669 data_time: 0.0232 memory: 13723 grad_norm: 3.6887 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1255 loss: 1.1255 2022/08/09 09:39:37 - mmengine - INFO - Epoch(train) [51][1480/1879] lr: 2.0000e-03 eta: 15:10:38 time: 0.5727 data_time: 0.0236 memory: 13723 grad_norm: 3.5788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9426 loss: 0.9426 2022/08/09 09:39:49 - mmengine - INFO - Epoch(train) [51][1500/1879] lr: 2.0000e-03 eta: 15:10:26 time: 0.5637 data_time: 0.0256 memory: 13723 grad_norm: 3.7071 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8735 loss: 0.8735 2022/08/09 09:40:00 - mmengine - INFO - Epoch(train) [51][1520/1879] lr: 2.0000e-03 eta: 15:10:13 time: 0.5603 data_time: 0.0240 memory: 13723 grad_norm: 3.7992 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0687 loss: 1.0687 2022/08/09 09:40:11 - mmengine - INFO - Epoch(train) [51][1540/1879] lr: 2.0000e-03 eta: 15:10:01 time: 0.5738 data_time: 0.0303 memory: 13723 grad_norm: 3.7390 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9355 loss: 0.9355 2022/08/09 09:40:23 - mmengine - INFO - Epoch(train) [51][1560/1879] lr: 2.0000e-03 eta: 15:09:49 time: 0.5751 data_time: 0.0255 memory: 13723 grad_norm: 3.6133 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1557 loss: 1.1557 2022/08/09 09:40:35 - mmengine - INFO - Epoch(train) [51][1580/1879] lr: 2.0000e-03 eta: 15:09:37 time: 0.5864 data_time: 0.0260 memory: 13723 grad_norm: 3.5925 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9497 loss: 0.9497 2022/08/09 09:40:46 - mmengine - INFO - Epoch(train) [51][1600/1879] lr: 2.0000e-03 eta: 15:09:25 time: 0.5768 data_time: 0.0257 memory: 13723 grad_norm: 3.6777 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9700 loss: 0.9700 2022/08/09 09:40:58 - mmengine - INFO - Epoch(train) [51][1620/1879] lr: 2.0000e-03 eta: 15:09:13 time: 0.5701 data_time: 0.0239 memory: 13723 grad_norm: 3.7496 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1222 loss: 1.1222 2022/08/09 09:41:09 - mmengine - INFO - Epoch(train) [51][1640/1879] lr: 2.0000e-03 eta: 15:09:01 time: 0.5723 data_time: 0.0332 memory: 13723 grad_norm: 3.6442 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8997 loss: 0.8997 2022/08/09 09:41:20 - mmengine - INFO - Epoch(train) [51][1660/1879] lr: 2.0000e-03 eta: 15:08:48 time: 0.5694 data_time: 0.0255 memory: 13723 grad_norm: 3.6655 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7888 loss: 0.7888 2022/08/09 09:41:32 - mmengine - INFO - Epoch(train) [51][1680/1879] lr: 2.0000e-03 eta: 15:08:36 time: 0.5616 data_time: 0.0220 memory: 13723 grad_norm: 3.6502 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8947 loss: 0.8947 2022/08/09 09:41:43 - mmengine - INFO - Epoch(train) [51][1700/1879] lr: 2.0000e-03 eta: 15:08:24 time: 0.5700 data_time: 0.0275 memory: 13723 grad_norm: 3.5649 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9065 loss: 0.9065 2022/08/09 09:41:54 - mmengine - INFO - Epoch(train) [51][1720/1879] lr: 2.0000e-03 eta: 15:08:11 time: 0.5580 data_time: 0.0238 memory: 13723 grad_norm: 3.6433 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1009 loss: 1.1009 2022/08/09 09:42:06 - mmengine - INFO - Epoch(train) [51][1740/1879] lr: 2.0000e-03 eta: 15:07:59 time: 0.5681 data_time: 0.0244 memory: 13723 grad_norm: 3.7274 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9227 loss: 0.9227 2022/08/09 09:42:17 - mmengine - INFO - Epoch(train) [51][1760/1879] lr: 2.0000e-03 eta: 15:07:47 time: 0.5647 data_time: 0.0243 memory: 13723 grad_norm: 3.7496 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9909 loss: 0.9909 2022/08/09 09:42:28 - mmengine - INFO - Epoch(train) [51][1780/1879] lr: 2.0000e-03 eta: 15:07:35 time: 0.5688 data_time: 0.0247 memory: 13723 grad_norm: 3.6260 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9054 loss: 0.9054 2022/08/09 09:42:40 - mmengine - INFO - Epoch(train) [51][1800/1879] lr: 2.0000e-03 eta: 15:07:22 time: 0.5649 data_time: 0.0243 memory: 13723 grad_norm: 3.6228 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9868 loss: 0.9868 2022/08/09 09:42:51 - mmengine - INFO - Epoch(train) [51][1820/1879] lr: 2.0000e-03 eta: 15:07:10 time: 0.5687 data_time: 0.0242 memory: 13723 grad_norm: 3.6947 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0303 loss: 1.0303 2022/08/09 09:43:02 - mmengine - INFO - Epoch(train) [51][1840/1879] lr: 2.0000e-03 eta: 15:06:58 time: 0.5607 data_time: 0.0236 memory: 13723 grad_norm: 3.7915 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1659 loss: 1.1659 2022/08/09 09:43:14 - mmengine - INFO - Epoch(train) [51][1860/1879] lr: 2.0000e-03 eta: 15:06:45 time: 0.5641 data_time: 0.0252 memory: 13723 grad_norm: 3.6587 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9301 loss: 0.9301 2022/08/09 09:43:24 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 09:43:24 - mmengine - INFO - Epoch(train) [51][1879/1879] lr: 2.0000e-03 eta: 15:06:45 time: 0.5263 data_time: 0.0172 memory: 13723 grad_norm: 3.8776 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.9191 loss: 0.9191 2022/08/09 09:43:24 - mmengine - INFO - Saving checkpoint at 51 epochs 2022/08/09 09:43:39 - mmengine - INFO - Epoch(val) [51][20/155] eta: 0:01:31 time: 0.6777 data_time: 0.5378 memory: 1829 2022/08/09 09:43:47 - mmengine - INFO - Epoch(val) [51][40/155] eta: 0:00:49 time: 0.4284 data_time: 0.2882 memory: 1829 2022/08/09 09:43:59 - mmengine - INFO - Epoch(val) [51][60/155] eta: 0:00:56 time: 0.5967 data_time: 0.4562 memory: 1829 2022/08/09 09:44:09 - mmengine - INFO - Epoch(val) [51][80/155] eta: 0:00:35 time: 0.4745 data_time: 0.3349 memory: 1829 2022/08/09 09:44:21 - mmengine - INFO - Epoch(val) [51][100/155] eta: 0:00:33 time: 0.6144 data_time: 0.4731 memory: 1829 2022/08/09 09:44:30 - mmengine - INFO - Epoch(val) [51][120/155] eta: 0:00:16 time: 0.4648 data_time: 0.3252 memory: 1829 2022/08/09 09:44:43 - mmengine - INFO - Epoch(val) [51][140/155] eta: 0:00:09 time: 0.6508 data_time: 0.5086 memory: 1829 2022/08/09 09:44:51 - mmengine - INFO - Epoch(val) [51][155/155] acc/top1: 0.7016 acc/top5: 0.8906 acc/mean1: 0.7016 2022/08/09 09:44:51 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_46.pth is removed 2022/08/09 09:44:52 - mmengine - INFO - The best checkpoint with 0.7016 acc/top1 at 52 epoch is saved to best_acc/top1_epoch_52.pth. 2022/08/09 09:45:11 - mmengine - INFO - Epoch(train) [52][20/1879] lr: 2.0000e-03 eta: 15:06:19 time: 0.9736 data_time: 0.4052 memory: 13723 grad_norm: 3.4892 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0473 loss: 1.0473 2022/08/09 09:45:23 - mmengine - INFO - Epoch(train) [52][40/1879] lr: 2.0000e-03 eta: 15:06:07 time: 0.5817 data_time: 0.0229 memory: 13723 grad_norm: 3.6718 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9421 loss: 0.9421 2022/08/09 09:45:35 - mmengine - INFO - Epoch(train) [52][60/1879] lr: 2.0000e-03 eta: 15:05:55 time: 0.5803 data_time: 0.0270 memory: 13723 grad_norm: 3.6847 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9490 loss: 0.9490 2022/08/09 09:45:46 - mmengine - INFO - Epoch(train) [52][80/1879] lr: 2.0000e-03 eta: 15:05:43 time: 0.5642 data_time: 0.0202 memory: 13723 grad_norm: 3.6820 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9375 loss: 0.9375 2022/08/09 09:45:58 - mmengine - INFO - Epoch(train) [52][100/1879] lr: 2.0000e-03 eta: 15:05:31 time: 0.5828 data_time: 0.0460 memory: 13723 grad_norm: 3.6222 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0714 loss: 1.0714 2022/08/09 09:46:09 - mmengine - INFO - Epoch(train) [52][120/1879] lr: 2.0000e-03 eta: 15:05:18 time: 0.5585 data_time: 0.0245 memory: 13723 grad_norm: 3.5858 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9740 loss: 0.9740 2022/08/09 09:46:20 - mmengine - INFO - Epoch(train) [52][140/1879] lr: 2.0000e-03 eta: 15:05:06 time: 0.5619 data_time: 0.0230 memory: 13723 grad_norm: 3.5411 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0002 loss: 1.0002 2022/08/09 09:46:31 - mmengine - INFO - Epoch(train) [52][160/1879] lr: 2.0000e-03 eta: 15:04:53 time: 0.5627 data_time: 0.0235 memory: 13723 grad_norm: 3.6053 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8887 loss: 0.8887 2022/08/09 09:46:38 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 09:46:43 - mmengine - INFO - Epoch(train) [52][180/1879] lr: 2.0000e-03 eta: 15:04:41 time: 0.5671 data_time: 0.0244 memory: 13723 grad_norm: 3.6259 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0103 loss: 1.0103 2022/08/09 09:46:54 - mmengine - INFO - Epoch(train) [52][200/1879] lr: 2.0000e-03 eta: 15:04:29 time: 0.5618 data_time: 0.0225 memory: 13723 grad_norm: 3.7337 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8650 loss: 0.8650 2022/08/09 09:47:05 - mmengine - INFO - Epoch(train) [52][220/1879] lr: 2.0000e-03 eta: 15:04:17 time: 0.5700 data_time: 0.0250 memory: 13723 grad_norm: 3.7432 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8809 loss: 0.8809 2022/08/09 09:47:17 - mmengine - INFO - Epoch(train) [52][240/1879] lr: 2.0000e-03 eta: 15:04:04 time: 0.5651 data_time: 0.0224 memory: 13723 grad_norm: 3.6554 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8705 loss: 0.8705 2022/08/09 09:47:28 - mmengine - INFO - Epoch(train) [52][260/1879] lr: 2.0000e-03 eta: 15:03:52 time: 0.5669 data_time: 0.0253 memory: 13723 grad_norm: 3.6071 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9720 loss: 0.9720 2022/08/09 09:47:39 - mmengine - INFO - Epoch(train) [52][280/1879] lr: 2.0000e-03 eta: 15:03:40 time: 0.5712 data_time: 0.0246 memory: 13723 grad_norm: 3.6536 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1053 loss: 1.1053 2022/08/09 09:47:51 - mmengine - INFO - Epoch(train) [52][300/1879] lr: 2.0000e-03 eta: 15:03:28 time: 0.5844 data_time: 0.0314 memory: 13723 grad_norm: 3.6383 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0846 loss: 1.0846 2022/08/09 09:48:02 - mmengine - INFO - Epoch(train) [52][320/1879] lr: 2.0000e-03 eta: 15:03:16 time: 0.5623 data_time: 0.0276 memory: 13723 grad_norm: 3.7203 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9638 loss: 0.9638 2022/08/09 09:48:14 - mmengine - INFO - Epoch(train) [52][340/1879] lr: 2.0000e-03 eta: 15:03:03 time: 0.5648 data_time: 0.0247 memory: 13723 grad_norm: 3.6355 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8265 loss: 0.8265 2022/08/09 09:48:25 - mmengine - INFO - Epoch(train) [52][360/1879] lr: 2.0000e-03 eta: 15:02:51 time: 0.5658 data_time: 0.0252 memory: 13723 grad_norm: 3.6647 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9955 loss: 0.9955 2022/08/09 09:48:36 - mmengine - INFO - Epoch(train) [52][380/1879] lr: 2.0000e-03 eta: 15:02:39 time: 0.5629 data_time: 0.0238 memory: 13723 grad_norm: 3.6741 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0068 loss: 1.0068 2022/08/09 09:48:48 - mmengine - INFO - Epoch(train) [52][400/1879] lr: 2.0000e-03 eta: 15:02:26 time: 0.5637 data_time: 0.0238 memory: 13723 grad_norm: 3.6897 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9697 loss: 0.9697 2022/08/09 09:48:59 - mmengine - INFO - Epoch(train) [52][420/1879] lr: 2.0000e-03 eta: 15:02:14 time: 0.5649 data_time: 0.0239 memory: 13723 grad_norm: 3.6728 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9460 loss: 0.9460 2022/08/09 09:49:10 - mmengine - INFO - Epoch(train) [52][440/1879] lr: 2.0000e-03 eta: 15:02:02 time: 0.5622 data_time: 0.0265 memory: 13723 grad_norm: 3.6044 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8532 loss: 0.8532 2022/08/09 09:49:21 - mmengine - INFO - Epoch(train) [52][460/1879] lr: 2.0000e-03 eta: 15:01:49 time: 0.5604 data_time: 0.0246 memory: 13723 grad_norm: 3.6480 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8155 loss: 0.8155 2022/08/09 09:49:33 - mmengine - INFO - Epoch(train) [52][480/1879] lr: 2.0000e-03 eta: 15:01:37 time: 0.5638 data_time: 0.0248 memory: 13723 grad_norm: 3.6913 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9818 loss: 0.9818 2022/08/09 09:49:44 - mmengine - INFO - Epoch(train) [52][500/1879] lr: 2.0000e-03 eta: 15:01:25 time: 0.5784 data_time: 0.0373 memory: 13723 grad_norm: 3.6883 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9694 loss: 0.9694 2022/08/09 09:49:55 - mmengine - INFO - Epoch(train) [52][520/1879] lr: 2.0000e-03 eta: 15:01:12 time: 0.5602 data_time: 0.0240 memory: 13723 grad_norm: 3.7675 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1278 loss: 1.1278 2022/08/09 09:50:07 - mmengine - INFO - Epoch(train) [52][540/1879] lr: 2.0000e-03 eta: 15:01:00 time: 0.5662 data_time: 0.0218 memory: 13723 grad_norm: 3.6993 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9442 loss: 0.9442 2022/08/09 09:50:18 - mmengine - INFO - Epoch(train) [52][560/1879] lr: 2.0000e-03 eta: 15:00:48 time: 0.5784 data_time: 0.0249 memory: 13723 grad_norm: 3.6819 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9567 loss: 0.9567 2022/08/09 09:50:30 - mmengine - INFO - Epoch(train) [52][580/1879] lr: 2.0000e-03 eta: 15:00:36 time: 0.5736 data_time: 0.0258 memory: 13723 grad_norm: 3.6047 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9629 loss: 0.9629 2022/08/09 09:50:42 - mmengine - INFO - Epoch(train) [52][600/1879] lr: 2.0000e-03 eta: 15:00:24 time: 0.5837 data_time: 0.0237 memory: 13723 grad_norm: 3.6243 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9005 loss: 0.9005 2022/08/09 09:50:53 - mmengine - INFO - Epoch(train) [52][620/1879] lr: 2.0000e-03 eta: 15:00:12 time: 0.5726 data_time: 0.0256 memory: 13723 grad_norm: 3.7195 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8234 loss: 0.8234 2022/08/09 09:51:04 - mmengine - INFO - Epoch(train) [52][640/1879] lr: 2.0000e-03 eta: 15:00:00 time: 0.5665 data_time: 0.0266 memory: 13723 grad_norm: 3.7794 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0149 loss: 1.0149 2022/08/09 09:51:16 - mmengine - INFO - Epoch(train) [52][660/1879] lr: 2.0000e-03 eta: 14:59:47 time: 0.5621 data_time: 0.0249 memory: 13723 grad_norm: 3.6265 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8974 loss: 0.8974 2022/08/09 09:51:27 - mmengine - INFO - Epoch(train) [52][680/1879] lr: 2.0000e-03 eta: 14:59:35 time: 0.5690 data_time: 0.0260 memory: 13723 grad_norm: 3.7115 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0667 loss: 1.0667 2022/08/09 09:51:38 - mmengine - INFO - Epoch(train) [52][700/1879] lr: 2.0000e-03 eta: 14:59:23 time: 0.5678 data_time: 0.0217 memory: 13723 grad_norm: 3.7554 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8861 loss: 0.8861 2022/08/09 09:51:50 - mmengine - INFO - Epoch(train) [52][720/1879] lr: 2.0000e-03 eta: 14:59:11 time: 0.5666 data_time: 0.0248 memory: 13723 grad_norm: 3.6415 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9984 loss: 0.9984 2022/08/09 09:52:01 - mmengine - INFO - Epoch(train) [52][740/1879] lr: 2.0000e-03 eta: 14:58:58 time: 0.5632 data_time: 0.0245 memory: 13723 grad_norm: 3.6886 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9551 loss: 0.9551 2022/08/09 09:52:12 - mmengine - INFO - Epoch(train) [52][760/1879] lr: 2.0000e-03 eta: 14:58:46 time: 0.5609 data_time: 0.0218 memory: 13723 grad_norm: 3.5989 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9276 loss: 0.9276 2022/08/09 09:52:23 - mmengine - INFO - Epoch(train) [52][780/1879] lr: 2.0000e-03 eta: 14:58:33 time: 0.5598 data_time: 0.0249 memory: 13723 grad_norm: 3.7104 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0266 loss: 1.0266 2022/08/09 09:52:35 - mmengine - INFO - Epoch(train) [52][800/1879] lr: 2.0000e-03 eta: 14:58:21 time: 0.5719 data_time: 0.0232 memory: 13723 grad_norm: 3.7131 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9154 loss: 0.9154 2022/08/09 09:52:46 - mmengine - INFO - Epoch(train) [52][820/1879] lr: 2.0000e-03 eta: 14:58:09 time: 0.5757 data_time: 0.0431 memory: 13723 grad_norm: 3.5727 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9431 loss: 0.9431 2022/08/09 09:52:58 - mmengine - INFO - Epoch(train) [52][840/1879] lr: 2.0000e-03 eta: 14:57:57 time: 0.5595 data_time: 0.0236 memory: 13723 grad_norm: 3.6727 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9601 loss: 0.9601 2022/08/09 09:53:09 - mmengine - INFO - Epoch(train) [52][860/1879] lr: 2.0000e-03 eta: 14:57:45 time: 0.5661 data_time: 0.0247 memory: 13723 grad_norm: 3.6252 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8874 loss: 0.8874 2022/08/09 09:53:20 - mmengine - INFO - Epoch(train) [52][880/1879] lr: 2.0000e-03 eta: 14:57:32 time: 0.5641 data_time: 0.0231 memory: 13723 grad_norm: 3.6657 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9009 loss: 0.9009 2022/08/09 09:53:31 - mmengine - INFO - Epoch(train) [52][900/1879] lr: 2.0000e-03 eta: 14:57:20 time: 0.5645 data_time: 0.0262 memory: 13723 grad_norm: 3.6412 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8940 loss: 0.8940 2022/08/09 09:53:43 - mmengine - INFO - Epoch(train) [52][920/1879] lr: 2.0000e-03 eta: 14:57:08 time: 0.5647 data_time: 0.0245 memory: 13723 grad_norm: 3.7761 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9308 loss: 0.9308 2022/08/09 09:53:54 - mmengine - INFO - Epoch(train) [52][940/1879] lr: 2.0000e-03 eta: 14:56:55 time: 0.5635 data_time: 0.0266 memory: 13723 grad_norm: 3.7424 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9594 loss: 0.9594 2022/08/09 09:54:05 - mmengine - INFO - Epoch(train) [52][960/1879] lr: 2.0000e-03 eta: 14:56:43 time: 0.5667 data_time: 0.0253 memory: 13723 grad_norm: 3.6620 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0794 loss: 1.0794 2022/08/09 09:54:17 - mmengine - INFO - Epoch(train) [52][980/1879] lr: 2.0000e-03 eta: 14:56:31 time: 0.5707 data_time: 0.0232 memory: 13723 grad_norm: 3.6347 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9671 loss: 0.9671 2022/08/09 09:54:28 - mmengine - INFO - Epoch(train) [52][1000/1879] lr: 2.0000e-03 eta: 14:56:19 time: 0.5718 data_time: 0.0233 memory: 13723 grad_norm: 3.6343 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0627 loss: 1.0627 2022/08/09 09:54:40 - mmengine - INFO - Epoch(train) [52][1020/1879] lr: 2.0000e-03 eta: 14:56:06 time: 0.5610 data_time: 0.0243 memory: 13723 grad_norm: 3.7766 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9668 loss: 0.9668 2022/08/09 09:54:51 - mmengine - INFO - Epoch(train) [52][1040/1879] lr: 2.0000e-03 eta: 14:55:54 time: 0.5648 data_time: 0.0232 memory: 13723 grad_norm: 3.6410 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8962 loss: 0.8962 2022/08/09 09:55:02 - mmengine - INFO - Epoch(train) [52][1060/1879] lr: 2.0000e-03 eta: 14:55:42 time: 0.5661 data_time: 0.0257 memory: 13723 grad_norm: 3.6571 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9929 loss: 0.9929 2022/08/09 09:55:14 - mmengine - INFO - Epoch(train) [52][1080/1879] lr: 2.0000e-03 eta: 14:55:30 time: 0.5706 data_time: 0.0220 memory: 13723 grad_norm: 3.7644 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9306 loss: 0.9306 2022/08/09 09:55:25 - mmengine - INFO - Epoch(train) [52][1100/1879] lr: 2.0000e-03 eta: 14:55:17 time: 0.5744 data_time: 0.0271 memory: 13723 grad_norm: 3.7204 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1154 loss: 1.1154 2022/08/09 09:55:37 - mmengine - INFO - Epoch(train) [52][1120/1879] lr: 2.0000e-03 eta: 14:55:05 time: 0.5763 data_time: 0.0255 memory: 13723 grad_norm: 3.6936 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8442 loss: 0.8442 2022/08/09 09:55:48 - mmengine - INFO - Epoch(train) [52][1140/1879] lr: 2.0000e-03 eta: 14:54:53 time: 0.5732 data_time: 0.0250 memory: 13723 grad_norm: 3.5123 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8630 loss: 0.8630 2022/08/09 09:55:59 - mmengine - INFO - Epoch(train) [52][1160/1879] lr: 2.0000e-03 eta: 14:54:41 time: 0.5646 data_time: 0.0252 memory: 13723 grad_norm: 3.7523 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8832 loss: 0.8832 2022/08/09 09:56:06 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 09:56:11 - mmengine - INFO - Epoch(train) [52][1180/1879] lr: 2.0000e-03 eta: 14:54:29 time: 0.5625 data_time: 0.0243 memory: 13723 grad_norm: 3.7156 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9875 loss: 0.9875 2022/08/09 09:56:22 - mmengine - INFO - Epoch(train) [52][1200/1879] lr: 2.0000e-03 eta: 14:54:16 time: 0.5595 data_time: 0.0237 memory: 13723 grad_norm: 3.6547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9058 loss: 0.9058 2022/08/09 09:56:33 - mmengine - INFO - Epoch(train) [52][1220/1879] lr: 2.0000e-03 eta: 14:54:04 time: 0.5642 data_time: 0.0243 memory: 13723 grad_norm: 3.5858 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8262 loss: 0.8262 2022/08/09 09:56:44 - mmengine - INFO - Epoch(train) [52][1240/1879] lr: 2.0000e-03 eta: 14:53:52 time: 0.5634 data_time: 0.0240 memory: 13723 grad_norm: 3.6858 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8782 loss: 0.8782 2022/08/09 09:56:56 - mmengine - INFO - Epoch(train) [52][1260/1879] lr: 2.0000e-03 eta: 14:53:39 time: 0.5690 data_time: 0.0240 memory: 13723 grad_norm: 3.7142 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0754 loss: 1.0754 2022/08/09 09:57:07 - mmengine - INFO - Epoch(train) [52][1280/1879] lr: 2.0000e-03 eta: 14:53:27 time: 0.5583 data_time: 0.0222 memory: 13723 grad_norm: 3.5719 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9705 loss: 0.9705 2022/08/09 09:57:18 - mmengine - INFO - Epoch(train) [52][1300/1879] lr: 2.0000e-03 eta: 14:53:15 time: 0.5626 data_time: 0.0254 memory: 13723 grad_norm: 3.8079 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9714 loss: 0.9714 2022/08/09 09:57:30 - mmengine - INFO - Epoch(train) [52][1320/1879] lr: 2.0000e-03 eta: 14:53:02 time: 0.5638 data_time: 0.0228 memory: 13723 grad_norm: 3.7537 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0996 loss: 1.0996 2022/08/09 09:57:41 - mmengine - INFO - Epoch(train) [52][1340/1879] lr: 2.0000e-03 eta: 14:52:50 time: 0.5657 data_time: 0.0265 memory: 13723 grad_norm: 3.7811 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0495 loss: 1.0495 2022/08/09 09:57:53 - mmengine - INFO - Epoch(train) [52][1360/1879] lr: 2.0000e-03 eta: 14:52:38 time: 0.5930 data_time: 0.0394 memory: 13723 grad_norm: 3.7828 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9018 loss: 0.9018 2022/08/09 09:58:04 - mmengine - INFO - Epoch(train) [52][1380/1879] lr: 2.0000e-03 eta: 14:52:26 time: 0.5613 data_time: 0.0231 memory: 13723 grad_norm: 3.7324 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9244 loss: 0.9244 2022/08/09 09:58:15 - mmengine - INFO - Epoch(train) [52][1400/1879] lr: 2.0000e-03 eta: 14:52:14 time: 0.5679 data_time: 0.0245 memory: 13723 grad_norm: 3.6098 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8978 loss: 0.8978 2022/08/09 09:58:27 - mmengine - INFO - Epoch(train) [52][1420/1879] lr: 2.0000e-03 eta: 14:52:01 time: 0.5630 data_time: 0.0257 memory: 13723 grad_norm: 3.6725 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8935 loss: 0.8935 2022/08/09 09:58:38 - mmengine - INFO - Epoch(train) [52][1440/1879] lr: 2.0000e-03 eta: 14:51:49 time: 0.5652 data_time: 0.0252 memory: 13723 grad_norm: 3.7391 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8277 loss: 0.8277 2022/08/09 09:58:49 - mmengine - INFO - Epoch(train) [52][1460/1879] lr: 2.0000e-03 eta: 14:51:37 time: 0.5655 data_time: 0.0250 memory: 13723 grad_norm: 3.6981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8595 loss: 0.8595 2022/08/09 09:59:01 - mmengine - INFO - Epoch(train) [52][1480/1879] lr: 2.0000e-03 eta: 14:51:25 time: 0.5697 data_time: 0.0268 memory: 13723 grad_norm: 3.7227 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9873 loss: 0.9873 2022/08/09 09:59:12 - mmengine - INFO - Epoch(train) [52][1500/1879] lr: 2.0000e-03 eta: 14:51:12 time: 0.5687 data_time: 0.0258 memory: 13723 grad_norm: 3.7286 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9178 loss: 0.9178 2022/08/09 09:59:23 - mmengine - INFO - Epoch(train) [52][1520/1879] lr: 2.0000e-03 eta: 14:51:00 time: 0.5618 data_time: 0.0244 memory: 13723 grad_norm: 3.7798 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9666 loss: 0.9666 2022/08/09 09:59:35 - mmengine - INFO - Epoch(train) [52][1540/1879] lr: 2.0000e-03 eta: 14:50:48 time: 0.5637 data_time: 0.0260 memory: 13723 grad_norm: 3.7287 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8915 loss: 0.8915 2022/08/09 09:59:46 - mmengine - INFO - Epoch(train) [52][1560/1879] lr: 2.0000e-03 eta: 14:50:36 time: 0.5639 data_time: 0.0244 memory: 13723 grad_norm: 3.7060 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9360 loss: 0.9360 2022/08/09 09:59:57 - mmengine - INFO - Epoch(train) [52][1580/1879] lr: 2.0000e-03 eta: 14:50:23 time: 0.5620 data_time: 0.0238 memory: 13723 grad_norm: 3.8109 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8882 loss: 0.8882 2022/08/09 10:00:09 - mmengine - INFO - Epoch(train) [52][1600/1879] lr: 2.0000e-03 eta: 14:50:11 time: 0.5924 data_time: 0.0209 memory: 13723 grad_norm: 3.6702 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0060 loss: 1.0060 2022/08/09 10:00:22 - mmengine - INFO - Epoch(train) [52][1620/1879] lr: 2.0000e-03 eta: 14:50:00 time: 0.6219 data_time: 0.0273 memory: 13723 grad_norm: 3.7723 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9023 loss: 0.9023 2022/08/09 10:00:34 - mmengine - INFO - Epoch(train) [52][1640/1879] lr: 2.0000e-03 eta: 14:49:49 time: 0.6151 data_time: 0.0271 memory: 13723 grad_norm: 3.6981 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0867 loss: 1.0867 2022/08/09 10:00:46 - mmengine - INFO - Epoch(train) [52][1660/1879] lr: 2.0000e-03 eta: 14:49:37 time: 0.5844 data_time: 0.0263 memory: 13723 grad_norm: 3.7466 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8990 loss: 0.8990 2022/08/09 10:00:57 - mmengine - INFO - Epoch(train) [52][1680/1879] lr: 2.0000e-03 eta: 14:49:25 time: 0.5859 data_time: 0.0286 memory: 13723 grad_norm: 3.8545 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1021 loss: 1.1021 2022/08/09 10:01:09 - mmengine - INFO - Epoch(train) [52][1700/1879] lr: 2.0000e-03 eta: 14:49:13 time: 0.5756 data_time: 0.0256 memory: 13723 grad_norm: 3.5552 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7952 loss: 0.7952 2022/08/09 10:01:20 - mmengine - INFO - Epoch(train) [52][1720/1879] lr: 2.0000e-03 eta: 14:49:01 time: 0.5676 data_time: 0.0243 memory: 13723 grad_norm: 3.7218 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8751 loss: 0.8751 2022/08/09 10:01:32 - mmengine - INFO - Epoch(train) [52][1740/1879] lr: 2.0000e-03 eta: 14:48:49 time: 0.5694 data_time: 0.0258 memory: 13723 grad_norm: 3.8357 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0878 loss: 1.0878 2022/08/09 10:01:43 - mmengine - INFO - Epoch(train) [52][1760/1879] lr: 2.0000e-03 eta: 14:48:36 time: 0.5627 data_time: 0.0239 memory: 13723 grad_norm: 3.7129 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7847 loss: 0.7847 2022/08/09 10:01:54 - mmengine - INFO - Epoch(train) [52][1780/1879] lr: 2.0000e-03 eta: 14:48:24 time: 0.5680 data_time: 0.0239 memory: 13723 grad_norm: 3.6357 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9605 loss: 0.9605 2022/08/09 10:02:05 - mmengine - INFO - Epoch(train) [52][1800/1879] lr: 2.0000e-03 eta: 14:48:12 time: 0.5621 data_time: 0.0237 memory: 13723 grad_norm: 3.6260 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9094 loss: 0.9094 2022/08/09 10:02:17 - mmengine - INFO - Epoch(train) [52][1820/1879] lr: 2.0000e-03 eta: 14:47:59 time: 0.5664 data_time: 0.0246 memory: 13723 grad_norm: 3.7080 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9195 loss: 0.9195 2022/08/09 10:02:28 - mmengine - INFO - Epoch(train) [52][1840/1879] lr: 2.0000e-03 eta: 14:47:47 time: 0.5704 data_time: 0.0218 memory: 13723 grad_norm: 3.7290 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9414 loss: 0.9414 2022/08/09 10:02:40 - mmengine - INFO - Epoch(train) [52][1860/1879] lr: 2.0000e-03 eta: 14:47:35 time: 0.5779 data_time: 0.0435 memory: 13723 grad_norm: 3.7013 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9859 loss: 0.9859 2022/08/09 10:02:50 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 10:02:50 - mmengine - INFO - Epoch(train) [52][1879/1879] lr: 2.0000e-03 eta: 14:47:35 time: 0.5272 data_time: 0.0168 memory: 13723 grad_norm: 3.9185 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.0058 loss: 1.0058 2022/08/09 10:03:03 - mmengine - INFO - Epoch(val) [52][20/155] eta: 0:01:26 time: 0.6396 data_time: 0.4982 memory: 1829 2022/08/09 10:03:12 - mmengine - INFO - Epoch(val) [52][40/155] eta: 0:00:55 time: 0.4806 data_time: 0.3408 memory: 1829 2022/08/09 10:03:24 - mmengine - INFO - Epoch(val) [52][60/155] eta: 0:00:55 time: 0.5856 data_time: 0.4463 memory: 1829 2022/08/09 10:03:34 - mmengine - INFO - Epoch(val) [52][80/155] eta: 0:00:35 time: 0.4797 data_time: 0.3389 memory: 1829 2022/08/09 10:03:45 - mmengine - INFO - Epoch(val) [52][100/155] eta: 0:00:31 time: 0.5818 data_time: 0.4419 memory: 1829 2022/08/09 10:03:55 - mmengine - INFO - Epoch(val) [52][120/155] eta: 0:00:16 time: 0.4786 data_time: 0.3395 memory: 1829 2022/08/09 10:04:08 - mmengine - INFO - Epoch(val) [52][140/155] eta: 0:00:10 time: 0.6792 data_time: 0.5388 memory: 1829 2022/08/09 10:04:16 - mmengine - INFO - Epoch(val) [52][155/155] acc/top1: 0.7039 acc/top5: 0.8940 acc/mean1: 0.7038 2022/08/09 10:04:16 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_52.pth is removed 2022/08/09 10:04:17 - mmengine - INFO - The best checkpoint with 0.7039 acc/top1 at 53 epoch is saved to best_acc/top1_epoch_53.pth. 2022/08/09 10:04:33 - mmengine - INFO - Epoch(train) [53][20/1879] lr: 2.0000e-03 eta: 14:47:05 time: 0.7771 data_time: 0.2306 memory: 13723 grad_norm: 3.6371 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8917 loss: 0.8917 2022/08/09 10:04:45 - mmengine - INFO - Epoch(train) [53][40/1879] lr: 2.0000e-03 eta: 14:46:54 time: 0.5941 data_time: 0.0479 memory: 13723 grad_norm: 3.6330 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9618 loss: 0.9618 2022/08/09 10:04:56 - mmengine - INFO - Epoch(train) [53][60/1879] lr: 2.0000e-03 eta: 14:46:41 time: 0.5679 data_time: 0.0230 memory: 13723 grad_norm: 3.6882 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9231 loss: 0.9231 2022/08/09 10:05:07 - mmengine - INFO - Epoch(train) [53][80/1879] lr: 2.0000e-03 eta: 14:46:29 time: 0.5589 data_time: 0.0223 memory: 13723 grad_norm: 3.6895 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9807 loss: 0.9807 2022/08/09 10:05:21 - mmengine - INFO - Epoch(train) [53][100/1879] lr: 2.0000e-03 eta: 14:46:19 time: 0.6676 data_time: 0.0545 memory: 13723 grad_norm: 3.6131 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0014 loss: 1.0014 2022/08/09 10:05:32 - mmengine - INFO - Epoch(train) [53][120/1879] lr: 2.0000e-03 eta: 14:46:06 time: 0.5759 data_time: 0.0269 memory: 13723 grad_norm: 3.6073 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7138 loss: 0.7138 2022/08/09 10:05:44 - mmengine - INFO - Epoch(train) [53][140/1879] lr: 2.0000e-03 eta: 14:45:55 time: 0.5849 data_time: 0.0286 memory: 13723 grad_norm: 3.6136 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9200 loss: 0.9200 2022/08/09 10:05:56 - mmengine - INFO - Epoch(train) [53][160/1879] lr: 2.0000e-03 eta: 14:45:43 time: 0.5829 data_time: 0.0258 memory: 13723 grad_norm: 3.6345 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0053 loss: 1.0053 2022/08/09 10:06:07 - mmengine - INFO - Epoch(train) [53][180/1879] lr: 2.0000e-03 eta: 14:45:31 time: 0.5841 data_time: 0.0263 memory: 13723 grad_norm: 3.5946 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9236 loss: 0.9236 2022/08/09 10:06:19 - mmengine - INFO - Epoch(train) [53][200/1879] lr: 2.0000e-03 eta: 14:45:18 time: 0.5668 data_time: 0.0236 memory: 13723 grad_norm: 3.6926 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0801 loss: 1.0801 2022/08/09 10:06:30 - mmengine - INFO - Epoch(train) [53][220/1879] lr: 2.0000e-03 eta: 14:45:06 time: 0.5647 data_time: 0.0234 memory: 13723 grad_norm: 3.6617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8605 loss: 0.8605 2022/08/09 10:06:41 - mmengine - INFO - Epoch(train) [53][240/1879] lr: 2.0000e-03 eta: 14:44:54 time: 0.5633 data_time: 0.0247 memory: 13723 grad_norm: 3.7846 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1366 loss: 1.1366 2022/08/09 10:06:53 - mmengine - INFO - Epoch(train) [53][260/1879] lr: 2.0000e-03 eta: 14:44:42 time: 0.5756 data_time: 0.0254 memory: 13723 grad_norm: 3.6722 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8945 loss: 0.8945 2022/08/09 10:07:04 - mmengine - INFO - Epoch(train) [53][280/1879] lr: 2.0000e-03 eta: 14:44:29 time: 0.5605 data_time: 0.0259 memory: 13723 grad_norm: 3.7459 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0169 loss: 1.0169 2022/08/09 10:07:11 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 10:07:15 - mmengine - INFO - Epoch(train) [53][300/1879] lr: 2.0000e-03 eta: 14:44:17 time: 0.5631 data_time: 0.0228 memory: 13723 grad_norm: 3.7146 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7620 loss: 0.7620 2022/08/09 10:07:27 - mmengine - INFO - Epoch(train) [53][320/1879] lr: 2.0000e-03 eta: 14:44:05 time: 0.5650 data_time: 0.0228 memory: 13723 grad_norm: 3.7033 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9985 loss: 0.9985 2022/08/09 10:07:38 - mmengine - INFO - Epoch(train) [53][340/1879] lr: 2.0000e-03 eta: 14:43:53 time: 0.5644 data_time: 0.0243 memory: 13723 grad_norm: 3.7950 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9094 loss: 0.9094 2022/08/09 10:07:49 - mmengine - INFO - Epoch(train) [53][360/1879] lr: 2.0000e-03 eta: 14:43:40 time: 0.5722 data_time: 0.0237 memory: 13723 grad_norm: 3.6330 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0081 loss: 1.0081 2022/08/09 10:08:01 - mmengine - INFO - Epoch(train) [53][380/1879] lr: 2.0000e-03 eta: 14:43:29 time: 0.6001 data_time: 0.0533 memory: 13723 grad_norm: 3.7583 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9983 loss: 0.9983 2022/08/09 10:08:13 - mmengine - INFO - Epoch(train) [53][400/1879] lr: 2.0000e-03 eta: 14:43:17 time: 0.5632 data_time: 0.0228 memory: 13723 grad_norm: 3.7309 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9390 loss: 0.9390 2022/08/09 10:08:24 - mmengine - INFO - Epoch(train) [53][420/1879] lr: 2.0000e-03 eta: 14:43:04 time: 0.5636 data_time: 0.0250 memory: 13723 grad_norm: 3.6801 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9256 loss: 0.9256 2022/08/09 10:08:35 - mmengine - INFO - Epoch(train) [53][440/1879] lr: 2.0000e-03 eta: 14:42:52 time: 0.5615 data_time: 0.0245 memory: 13723 grad_norm: 3.6898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7780 loss: 0.7780 2022/08/09 10:08:46 - mmengine - INFO - Epoch(train) [53][460/1879] lr: 2.0000e-03 eta: 14:42:40 time: 0.5625 data_time: 0.0251 memory: 13723 grad_norm: 3.7873 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9085 loss: 0.9085 2022/08/09 10:08:58 - mmengine - INFO - Epoch(train) [53][480/1879] lr: 2.0000e-03 eta: 14:42:27 time: 0.5650 data_time: 0.0235 memory: 13723 grad_norm: 3.6800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9188 loss: 0.9188 2022/08/09 10:09:09 - mmengine - INFO - Epoch(train) [53][500/1879] lr: 2.0000e-03 eta: 14:42:15 time: 0.5634 data_time: 0.0250 memory: 13723 grad_norm: 3.6126 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9203 loss: 0.9203 2022/08/09 10:09:20 - mmengine - INFO - Epoch(train) [53][520/1879] lr: 2.0000e-03 eta: 14:42:03 time: 0.5645 data_time: 0.0239 memory: 13723 grad_norm: 3.6453 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7429 loss: 0.7429 2022/08/09 10:09:32 - mmengine - INFO - Epoch(train) [53][540/1879] lr: 2.0000e-03 eta: 14:41:51 time: 0.5800 data_time: 0.0405 memory: 13723 grad_norm: 3.7576 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7471 loss: 0.7471 2022/08/09 10:09:43 - mmengine - INFO - Epoch(train) [53][560/1879] lr: 2.0000e-03 eta: 14:41:39 time: 0.5666 data_time: 0.0256 memory: 13723 grad_norm: 3.6647 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9289 loss: 0.9289 2022/08/09 10:09:54 - mmengine - INFO - Epoch(train) [53][580/1879] lr: 2.0000e-03 eta: 14:41:26 time: 0.5613 data_time: 0.0233 memory: 13723 grad_norm: 3.7602 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7745 loss: 0.7745 2022/08/09 10:10:06 - mmengine - INFO - Epoch(train) [53][600/1879] lr: 2.0000e-03 eta: 14:41:14 time: 0.5594 data_time: 0.0236 memory: 13723 grad_norm: 3.6790 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7271 loss: 0.7271 2022/08/09 10:10:18 - mmengine - INFO - Epoch(train) [53][620/1879] lr: 2.0000e-03 eta: 14:41:02 time: 0.6016 data_time: 0.0250 memory: 13723 grad_norm: 3.6893 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9678 loss: 0.9678 2022/08/09 10:10:30 - mmengine - INFO - Epoch(train) [53][640/1879] lr: 2.0000e-03 eta: 14:40:51 time: 0.6132 data_time: 0.0291 memory: 13723 grad_norm: 3.7154 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7863 loss: 0.7863 2022/08/09 10:10:42 - mmengine - INFO - Epoch(train) [53][660/1879] lr: 2.0000e-03 eta: 14:40:39 time: 0.5869 data_time: 0.0280 memory: 13723 grad_norm: 3.7447 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9623 loss: 0.9623 2022/08/09 10:10:54 - mmengine - INFO - Epoch(train) [53][680/1879] lr: 2.0000e-03 eta: 14:40:27 time: 0.6024 data_time: 0.0258 memory: 13723 grad_norm: 3.8086 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9191 loss: 0.9191 2022/08/09 10:11:05 - mmengine - INFO - Epoch(train) [53][700/1879] lr: 2.0000e-03 eta: 14:40:15 time: 0.5774 data_time: 0.0272 memory: 13723 grad_norm: 3.8235 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8910 loss: 0.8910 2022/08/09 10:11:17 - mmengine - INFO - Epoch(train) [53][720/1879] lr: 2.0000e-03 eta: 14:40:04 time: 0.5881 data_time: 0.0220 memory: 13723 grad_norm: 3.7795 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9390 loss: 0.9390 2022/08/09 10:11:29 - mmengine - INFO - Epoch(train) [53][740/1879] lr: 2.0000e-03 eta: 14:39:51 time: 0.5663 data_time: 0.0236 memory: 13723 grad_norm: 3.7209 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9498 loss: 0.9498 2022/08/09 10:11:40 - mmengine - INFO - Epoch(train) [53][760/1879] lr: 2.0000e-03 eta: 14:39:39 time: 0.5747 data_time: 0.0257 memory: 13723 grad_norm: 3.8185 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8978 loss: 0.8978 2022/08/09 10:11:51 - mmengine - INFO - Epoch(train) [53][780/1879] lr: 2.0000e-03 eta: 14:39:27 time: 0.5695 data_time: 0.0260 memory: 13723 grad_norm: 3.7050 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9258 loss: 0.9258 2022/08/09 10:12:03 - mmengine - INFO - Epoch(train) [53][800/1879] lr: 2.0000e-03 eta: 14:39:15 time: 0.5728 data_time: 0.0252 memory: 13723 grad_norm: 3.7438 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9473 loss: 0.9473 2022/08/09 10:12:14 - mmengine - INFO - Epoch(train) [53][820/1879] lr: 2.0000e-03 eta: 14:39:03 time: 0.5640 data_time: 0.0250 memory: 13723 grad_norm: 3.6988 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8325 loss: 0.8325 2022/08/09 10:12:26 - mmengine - INFO - Epoch(train) [53][840/1879] lr: 2.0000e-03 eta: 14:38:50 time: 0.5655 data_time: 0.0236 memory: 13723 grad_norm: 3.7082 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1801 loss: 1.1801 2022/08/09 10:12:37 - mmengine - INFO - Epoch(train) [53][860/1879] lr: 2.0000e-03 eta: 14:38:38 time: 0.5621 data_time: 0.0249 memory: 13723 grad_norm: 3.7908 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9238 loss: 0.9238 2022/08/09 10:12:48 - mmengine - INFO - Epoch(train) [53][880/1879] lr: 2.0000e-03 eta: 14:38:26 time: 0.5753 data_time: 0.0348 memory: 13723 grad_norm: 3.6788 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9485 loss: 0.9485 2022/08/09 10:13:00 - mmengine - INFO - Epoch(train) [53][900/1879] lr: 2.0000e-03 eta: 14:38:14 time: 0.5626 data_time: 0.0254 memory: 13723 grad_norm: 3.7029 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9834 loss: 0.9834 2022/08/09 10:13:11 - mmengine - INFO - Epoch(train) [53][920/1879] lr: 2.0000e-03 eta: 14:38:02 time: 0.5686 data_time: 0.0247 memory: 13723 grad_norm: 3.7669 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9803 loss: 0.9803 2022/08/09 10:13:23 - mmengine - INFO - Epoch(train) [53][940/1879] lr: 2.0000e-03 eta: 14:37:50 time: 0.6121 data_time: 0.0218 memory: 13723 grad_norm: 3.7395 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0157 loss: 1.0157 2022/08/09 10:13:34 - mmengine - INFO - Epoch(train) [53][960/1879] lr: 2.0000e-03 eta: 14:37:38 time: 0.5620 data_time: 0.0271 memory: 13723 grad_norm: 3.7396 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8720 loss: 0.8720 2022/08/09 10:13:46 - mmengine - INFO - Epoch(train) [53][980/1879] lr: 2.0000e-03 eta: 14:37:26 time: 0.5671 data_time: 0.0228 memory: 13723 grad_norm: 3.7142 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8499 loss: 0.8499 2022/08/09 10:13:57 - mmengine - INFO - Epoch(train) [53][1000/1879] lr: 2.0000e-03 eta: 14:37:13 time: 0.5688 data_time: 0.0240 memory: 13723 grad_norm: 3.7940 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8762 loss: 0.8762 2022/08/09 10:14:09 - mmengine - INFO - Epoch(train) [53][1020/1879] lr: 2.0000e-03 eta: 14:37:01 time: 0.5711 data_time: 0.0242 memory: 13723 grad_norm: 3.8698 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9632 loss: 0.9632 2022/08/09 10:14:20 - mmengine - INFO - Epoch(train) [53][1040/1879] lr: 2.0000e-03 eta: 14:36:49 time: 0.5683 data_time: 0.0233 memory: 13723 grad_norm: 3.6787 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9871 loss: 0.9871 2022/08/09 10:14:32 - mmengine - INFO - Epoch(train) [53][1060/1879] lr: 2.0000e-03 eta: 14:36:37 time: 0.5771 data_time: 0.0223 memory: 13723 grad_norm: 3.5926 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9563 loss: 0.9563 2022/08/09 10:14:43 - mmengine - INFO - Epoch(train) [53][1080/1879] lr: 2.0000e-03 eta: 14:36:25 time: 0.5744 data_time: 0.0272 memory: 13723 grad_norm: 3.7719 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8750 loss: 0.8750 2022/08/09 10:14:54 - mmengine - INFO - Epoch(train) [53][1100/1879] lr: 2.0000e-03 eta: 14:36:13 time: 0.5701 data_time: 0.0223 memory: 13723 grad_norm: 3.7214 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8328 loss: 0.8328 2022/08/09 10:15:06 - mmengine - INFO - Epoch(train) [53][1120/1879] lr: 2.0000e-03 eta: 14:36:01 time: 0.5695 data_time: 0.0260 memory: 13723 grad_norm: 3.8194 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 0.9084 loss: 0.9084 2022/08/09 10:15:17 - mmengine - INFO - Epoch(train) [53][1140/1879] lr: 2.0000e-03 eta: 14:35:49 time: 0.5811 data_time: 0.0263 memory: 13723 grad_norm: 3.7527 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9592 loss: 0.9592 2022/08/09 10:15:29 - mmengine - INFO - Epoch(train) [53][1160/1879] lr: 2.0000e-03 eta: 14:35:37 time: 0.5784 data_time: 0.0272 memory: 13723 grad_norm: 3.8059 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8042 loss: 0.8042 2022/08/09 10:15:40 - mmengine - INFO - Epoch(train) [53][1180/1879] lr: 2.0000e-03 eta: 14:35:24 time: 0.5691 data_time: 0.0225 memory: 13723 grad_norm: 3.6432 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8663 loss: 0.8663 2022/08/09 10:15:52 - mmengine - INFO - Epoch(train) [53][1200/1879] lr: 2.0000e-03 eta: 14:35:12 time: 0.5662 data_time: 0.0254 memory: 13723 grad_norm: 3.6351 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9226 loss: 0.9226 2022/08/09 10:16:03 - mmengine - INFO - Epoch(train) [53][1220/1879] lr: 2.0000e-03 eta: 14:35:00 time: 0.5631 data_time: 0.0225 memory: 13723 grad_norm: 3.7135 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8817 loss: 0.8817 2022/08/09 10:16:14 - mmengine - INFO - Epoch(train) [53][1240/1879] lr: 2.0000e-03 eta: 14:34:48 time: 0.5659 data_time: 0.0242 memory: 13723 grad_norm: 3.6759 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8013 loss: 0.8013 2022/08/09 10:16:26 - mmengine - INFO - Epoch(train) [53][1260/1879] lr: 2.0000e-03 eta: 14:34:35 time: 0.5622 data_time: 0.0247 memory: 13723 grad_norm: 3.7080 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8400 loss: 0.8400 2022/08/09 10:16:37 - mmengine - INFO - Epoch(train) [53][1280/1879] lr: 2.0000e-03 eta: 14:34:23 time: 0.5606 data_time: 0.0233 memory: 13723 grad_norm: 3.7131 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8464 loss: 0.8464 2022/08/09 10:16:44 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 10:16:48 - mmengine - INFO - Epoch(train) [53][1300/1879] lr: 2.0000e-03 eta: 14:34:11 time: 0.5638 data_time: 0.0243 memory: 13723 grad_norm: 3.7505 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8626 loss: 0.8626 2022/08/09 10:16:59 - mmengine - INFO - Epoch(train) [53][1320/1879] lr: 2.0000e-03 eta: 14:33:58 time: 0.5595 data_time: 0.0227 memory: 13723 grad_norm: 3.8243 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9213 loss: 0.9213 2022/08/09 10:17:11 - mmengine - INFO - Epoch(train) [53][1340/1879] lr: 2.0000e-03 eta: 14:33:46 time: 0.5666 data_time: 0.0253 memory: 13723 grad_norm: 3.6631 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8061 loss: 0.8061 2022/08/09 10:17:22 - mmengine - INFO - Epoch(train) [53][1360/1879] lr: 2.0000e-03 eta: 14:33:34 time: 0.5636 data_time: 0.0231 memory: 13723 grad_norm: 3.7752 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8815 loss: 0.8815 2022/08/09 10:17:33 - mmengine - INFO - Epoch(train) [53][1380/1879] lr: 2.0000e-03 eta: 14:33:22 time: 0.5662 data_time: 0.0243 memory: 13723 grad_norm: 3.8763 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9534 loss: 0.9534 2022/08/09 10:17:45 - mmengine - INFO - Epoch(train) [53][1400/1879] lr: 2.0000e-03 eta: 14:33:09 time: 0.5616 data_time: 0.0240 memory: 13723 grad_norm: 3.8278 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8643 loss: 0.8643 2022/08/09 10:17:57 - mmengine - INFO - Epoch(train) [53][1420/1879] lr: 2.0000e-03 eta: 14:32:58 time: 0.6035 data_time: 0.0361 memory: 13723 grad_norm: 3.8404 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8655 loss: 0.8655 2022/08/09 10:18:08 - mmengine - INFO - Epoch(train) [53][1440/1879] lr: 2.0000e-03 eta: 14:32:46 time: 0.5723 data_time: 0.0233 memory: 13723 grad_norm: 3.7126 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9318 loss: 0.9318 2022/08/09 10:18:19 - mmengine - INFO - Epoch(train) [53][1460/1879] lr: 2.0000e-03 eta: 14:32:34 time: 0.5657 data_time: 0.0242 memory: 13723 grad_norm: 3.7608 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9012 loss: 0.9012 2022/08/09 10:18:31 - mmengine - INFO - Epoch(train) [53][1480/1879] lr: 2.0000e-03 eta: 14:32:21 time: 0.5670 data_time: 0.0232 memory: 13723 grad_norm: 3.8136 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8004 loss: 0.8004 2022/08/09 10:18:42 - mmengine - INFO - Epoch(train) [53][1500/1879] lr: 2.0000e-03 eta: 14:32:09 time: 0.5642 data_time: 0.0262 memory: 13723 grad_norm: 3.7683 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9956 loss: 0.9956 2022/08/09 10:18:53 - mmengine - INFO - Epoch(train) [53][1520/1879] lr: 2.0000e-03 eta: 14:31:57 time: 0.5673 data_time: 0.0257 memory: 13723 grad_norm: 3.7912 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9198 loss: 0.9198 2022/08/09 10:19:05 - mmengine - INFO - Epoch(train) [53][1540/1879] lr: 2.0000e-03 eta: 14:31:45 time: 0.5622 data_time: 0.0228 memory: 13723 grad_norm: 3.7534 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9775 loss: 0.9775 2022/08/09 10:19:16 - mmengine - INFO - Epoch(train) [53][1560/1879] lr: 2.0000e-03 eta: 14:31:32 time: 0.5617 data_time: 0.0245 memory: 13723 grad_norm: 3.7899 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8315 loss: 0.8315 2022/08/09 10:19:27 - mmengine - INFO - Epoch(train) [53][1580/1879] lr: 2.0000e-03 eta: 14:31:20 time: 0.5599 data_time: 0.0246 memory: 13723 grad_norm: 3.6651 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9723 loss: 0.9723 2022/08/09 10:19:39 - mmengine - INFO - Epoch(train) [53][1600/1879] lr: 2.0000e-03 eta: 14:31:08 time: 0.5672 data_time: 0.0254 memory: 13723 grad_norm: 3.7453 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9479 loss: 0.9479 2022/08/09 10:19:50 - mmengine - INFO - Epoch(train) [53][1620/1879] lr: 2.0000e-03 eta: 14:30:55 time: 0.5637 data_time: 0.0255 memory: 13723 grad_norm: 3.7369 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7826 loss: 0.7826 2022/08/09 10:20:01 - mmengine - INFO - Epoch(train) [53][1640/1879] lr: 2.0000e-03 eta: 14:30:43 time: 0.5621 data_time: 0.0263 memory: 13723 grad_norm: 3.7861 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9270 loss: 0.9270 2022/08/09 10:20:13 - mmengine - INFO - Epoch(train) [53][1660/1879] lr: 2.0000e-03 eta: 14:30:31 time: 0.5730 data_time: 0.0229 memory: 13723 grad_norm: 3.8331 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9293 loss: 0.9293 2022/08/09 10:20:24 - mmengine - INFO - Epoch(train) [53][1680/1879] lr: 2.0000e-03 eta: 14:30:19 time: 0.5824 data_time: 0.0282 memory: 13723 grad_norm: 3.6481 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8753 loss: 0.8753 2022/08/09 10:20:36 - mmengine - INFO - Epoch(train) [53][1700/1879] lr: 2.0000e-03 eta: 14:30:07 time: 0.5914 data_time: 0.0259 memory: 13723 grad_norm: 3.7088 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9987 loss: 0.9987 2022/08/09 10:20:48 - mmengine - INFO - Epoch(train) [53][1720/1879] lr: 2.0000e-03 eta: 14:29:55 time: 0.5843 data_time: 0.0207 memory: 13723 grad_norm: 3.6661 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9588 loss: 0.9588 2022/08/09 10:20:59 - mmengine - INFO - Epoch(train) [53][1740/1879] lr: 2.0000e-03 eta: 14:29:43 time: 0.5798 data_time: 0.0252 memory: 13723 grad_norm: 3.7900 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9735 loss: 0.9735 2022/08/09 10:21:11 - mmengine - INFO - Epoch(train) [53][1760/1879] lr: 2.0000e-03 eta: 14:29:31 time: 0.5671 data_time: 0.0225 memory: 13723 grad_norm: 3.7660 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9445 loss: 0.9445 2022/08/09 10:21:22 - mmengine - INFO - Epoch(train) [53][1780/1879] lr: 2.0000e-03 eta: 14:29:19 time: 0.5616 data_time: 0.0240 memory: 13723 grad_norm: 3.7490 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9808 loss: 0.9808 2022/08/09 10:21:33 - mmengine - INFO - Epoch(train) [53][1800/1879] lr: 2.0000e-03 eta: 14:29:07 time: 0.5650 data_time: 0.0241 memory: 13723 grad_norm: 3.7889 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0366 loss: 1.0366 2022/08/09 10:21:45 - mmengine - INFO - Epoch(train) [53][1820/1879] lr: 2.0000e-03 eta: 14:28:54 time: 0.5629 data_time: 0.0238 memory: 13723 grad_norm: 3.7787 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0421 loss: 1.0421 2022/08/09 10:21:56 - mmengine - INFO - Epoch(train) [53][1840/1879] lr: 2.0000e-03 eta: 14:28:42 time: 0.5669 data_time: 0.0238 memory: 13723 grad_norm: 3.8156 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1576 loss: 1.1576 2022/08/09 10:22:07 - mmengine - INFO - Epoch(train) [53][1860/1879] lr: 2.0000e-03 eta: 14:28:30 time: 0.5683 data_time: 0.0246 memory: 13723 grad_norm: 3.7881 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8082 loss: 0.8082 2022/08/09 10:22:18 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 10:22:18 - mmengine - INFO - Epoch(train) [53][1879/1879] lr: 2.0000e-03 eta: 14:28:30 time: 0.5509 data_time: 0.0197 memory: 13723 grad_norm: 3.9469 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.0665 loss: 1.0665 2022/08/09 10:22:31 - mmengine - INFO - Epoch(val) [53][20/155] eta: 0:01:28 time: 0.6565 data_time: 0.5151 memory: 1829 2022/08/09 10:22:40 - mmengine - INFO - Epoch(val) [53][40/155] eta: 0:00:53 time: 0.4632 data_time: 0.3228 memory: 1829 2022/08/09 10:22:52 - mmengine - INFO - Epoch(val) [53][60/155] eta: 0:00:55 time: 0.5876 data_time: 0.4465 memory: 1829 2022/08/09 10:23:02 - mmengine - INFO - Epoch(val) [53][80/155] eta: 0:00:36 time: 0.4847 data_time: 0.3453 memory: 1829 2022/08/09 10:23:14 - mmengine - INFO - Epoch(val) [53][100/155] eta: 0:00:34 time: 0.6232 data_time: 0.4838 memory: 1829 2022/08/09 10:23:23 - mmengine - INFO - Epoch(val) [53][120/155] eta: 0:00:15 time: 0.4497 data_time: 0.3048 memory: 1829 2022/08/09 10:23:37 - mmengine - INFO - Epoch(val) [53][140/155] eta: 0:00:10 time: 0.6719 data_time: 0.5324 memory: 1829 2022/08/09 10:23:44 - mmengine - INFO - Epoch(val) [53][155/155] acc/top1: 0.7061 acc/top5: 0.8950 acc/mean1: 0.7060 2022/08/09 10:23:44 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_53.pth is removed 2022/08/09 10:23:46 - mmengine - INFO - The best checkpoint with 0.7061 acc/top1 at 54 epoch is saved to best_acc/top1_epoch_54.pth. 2022/08/09 10:24:02 - mmengine - INFO - Epoch(train) [54][20/1879] lr: 2.0000e-03 eta: 14:28:01 time: 0.7994 data_time: 0.2206 memory: 13723 grad_norm: 3.6366 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8211 loss: 0.8211 2022/08/09 10:24:13 - mmengine - INFO - Epoch(train) [54][40/1879] lr: 2.0000e-03 eta: 14:27:49 time: 0.5685 data_time: 0.0207 memory: 13723 grad_norm: 3.5266 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7745 loss: 0.7745 2022/08/09 10:24:25 - mmengine - INFO - Epoch(train) [54][60/1879] lr: 2.0000e-03 eta: 14:27:36 time: 0.5719 data_time: 0.0248 memory: 13723 grad_norm: 3.7221 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9568 loss: 0.9568 2022/08/09 10:24:36 - mmengine - INFO - Epoch(train) [54][80/1879] lr: 2.0000e-03 eta: 14:27:24 time: 0.5594 data_time: 0.0243 memory: 13723 grad_norm: 3.6984 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8558 loss: 0.8558 2022/08/09 10:24:47 - mmengine - INFO - Epoch(train) [54][100/1879] lr: 2.0000e-03 eta: 14:27:12 time: 0.5647 data_time: 0.0228 memory: 13723 grad_norm: 3.8207 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9884 loss: 0.9884 2022/08/09 10:24:58 - mmengine - INFO - Epoch(train) [54][120/1879] lr: 2.0000e-03 eta: 14:27:00 time: 0.5646 data_time: 0.0227 memory: 13723 grad_norm: 3.7300 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7895 loss: 0.7895 2022/08/09 10:25:10 - mmengine - INFO - Epoch(train) [54][140/1879] lr: 2.0000e-03 eta: 14:26:48 time: 0.5759 data_time: 0.0299 memory: 13723 grad_norm: 3.7126 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9467 loss: 0.9467 2022/08/09 10:25:21 - mmengine - INFO - Epoch(train) [54][160/1879] lr: 2.0000e-03 eta: 14:26:36 time: 0.5757 data_time: 0.0262 memory: 13723 grad_norm: 3.6421 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8380 loss: 0.8380 2022/08/09 10:25:33 - mmengine - INFO - Epoch(train) [54][180/1879] lr: 2.0000e-03 eta: 14:26:24 time: 0.5778 data_time: 0.0273 memory: 13723 grad_norm: 3.6893 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9096 loss: 0.9096 2022/08/09 10:25:44 - mmengine - INFO - Epoch(train) [54][200/1879] lr: 2.0000e-03 eta: 14:26:11 time: 0.5701 data_time: 0.0248 memory: 13723 grad_norm: 3.7835 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9560 loss: 0.9560 2022/08/09 10:25:56 - mmengine - INFO - Epoch(train) [54][220/1879] lr: 2.0000e-03 eta: 14:25:59 time: 0.5645 data_time: 0.0212 memory: 13723 grad_norm: 3.7354 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8277 loss: 0.8277 2022/08/09 10:26:08 - mmengine - INFO - Epoch(train) [54][240/1879] lr: 2.0000e-03 eta: 14:25:47 time: 0.5941 data_time: 0.0559 memory: 13723 grad_norm: 3.7272 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9364 loss: 0.9364 2022/08/09 10:26:19 - mmengine - INFO - Epoch(train) [54][260/1879] lr: 2.0000e-03 eta: 14:25:35 time: 0.5618 data_time: 0.0230 memory: 13723 grad_norm: 3.8240 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9413 loss: 0.9413 2022/08/09 10:26:30 - mmengine - INFO - Epoch(train) [54][280/1879] lr: 2.0000e-03 eta: 14:25:23 time: 0.5638 data_time: 0.0231 memory: 13723 grad_norm: 3.5303 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7315 loss: 0.7315 2022/08/09 10:26:41 - mmengine - INFO - Epoch(train) [54][300/1879] lr: 2.0000e-03 eta: 14:25:11 time: 0.5651 data_time: 0.0262 memory: 13723 grad_norm: 3.7090 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9517 loss: 0.9517 2022/08/09 10:26:53 - mmengine - INFO - Epoch(train) [54][320/1879] lr: 2.0000e-03 eta: 14:24:58 time: 0.5648 data_time: 0.0232 memory: 13723 grad_norm: 3.7480 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9295 loss: 0.9295 2022/08/09 10:27:04 - mmengine - INFO - Epoch(train) [54][340/1879] lr: 2.0000e-03 eta: 14:24:46 time: 0.5619 data_time: 0.0234 memory: 13723 grad_norm: 3.6117 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9373 loss: 0.9373 2022/08/09 10:27:15 - mmengine - INFO - Epoch(train) [54][360/1879] lr: 2.0000e-03 eta: 14:24:34 time: 0.5633 data_time: 0.0239 memory: 13723 grad_norm: 3.7481 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8960 loss: 0.8960 2022/08/09 10:27:27 - mmengine - INFO - Epoch(train) [54][380/1879] lr: 2.0000e-03 eta: 14:24:22 time: 0.5595 data_time: 0.0243 memory: 13723 grad_norm: 3.6696 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9524 loss: 0.9524 2022/08/09 10:27:38 - mmengine - INFO - Epoch(train) [54][400/1879] lr: 2.0000e-03 eta: 14:24:09 time: 0.5662 data_time: 0.0241 memory: 13723 grad_norm: 3.6562 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8198 loss: 0.8198 2022/08/09 10:27:45 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 10:27:49 - mmengine - INFO - Epoch(train) [54][420/1879] lr: 2.0000e-03 eta: 14:23:57 time: 0.5627 data_time: 0.0255 memory: 13723 grad_norm: 3.6981 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9555 loss: 0.9555 2022/08/09 10:28:01 - mmengine - INFO - Epoch(train) [54][440/1879] lr: 2.0000e-03 eta: 14:23:45 time: 0.5747 data_time: 0.0231 memory: 13723 grad_norm: 3.7608 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7584 loss: 0.7584 2022/08/09 10:28:12 - mmengine - INFO - Epoch(train) [54][460/1879] lr: 2.0000e-03 eta: 14:23:33 time: 0.5648 data_time: 0.0239 memory: 13723 grad_norm: 3.7834 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8106 loss: 0.8106 2022/08/09 10:28:23 - mmengine - INFO - Epoch(train) [54][480/1879] lr: 2.0000e-03 eta: 14:23:21 time: 0.5695 data_time: 0.0241 memory: 13723 grad_norm: 3.7334 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8314 loss: 0.8314 2022/08/09 10:28:35 - mmengine - INFO - Epoch(train) [54][500/1879] lr: 2.0000e-03 eta: 14:23:08 time: 0.5622 data_time: 0.0235 memory: 13723 grad_norm: 3.7260 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9538 loss: 0.9538 2022/08/09 10:28:46 - mmengine - INFO - Epoch(train) [54][520/1879] lr: 2.0000e-03 eta: 14:22:56 time: 0.5655 data_time: 0.0241 memory: 13723 grad_norm: 3.7001 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8439 loss: 0.8439 2022/08/09 10:28:57 - mmengine - INFO - Epoch(train) [54][540/1879] lr: 2.0000e-03 eta: 14:22:44 time: 0.5664 data_time: 0.0232 memory: 13723 grad_norm: 3.6707 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8207 loss: 0.8207 2022/08/09 10:29:09 - mmengine - INFO - Epoch(train) [54][560/1879] lr: 2.0000e-03 eta: 14:22:32 time: 0.5637 data_time: 0.0241 memory: 13723 grad_norm: 3.7143 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9574 loss: 0.9574 2022/08/09 10:29:20 - mmengine - INFO - Epoch(train) [54][580/1879] lr: 2.0000e-03 eta: 14:22:19 time: 0.5628 data_time: 0.0236 memory: 13723 grad_norm: 3.7566 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8112 loss: 0.8112 2022/08/09 10:29:31 - mmengine - INFO - Epoch(train) [54][600/1879] lr: 2.0000e-03 eta: 14:22:07 time: 0.5674 data_time: 0.0232 memory: 13723 grad_norm: 3.7361 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8364 loss: 0.8364 2022/08/09 10:29:42 - mmengine - INFO - Epoch(train) [54][620/1879] lr: 2.0000e-03 eta: 14:21:55 time: 0.5656 data_time: 0.0244 memory: 13723 grad_norm: 3.7546 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8614 loss: 0.8614 2022/08/09 10:29:54 - mmengine - INFO - Epoch(train) [54][640/1879] lr: 2.0000e-03 eta: 14:21:43 time: 0.5658 data_time: 0.0246 memory: 13723 grad_norm: 3.6813 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8383 loss: 0.8383 2022/08/09 10:30:05 - mmengine - INFO - Epoch(train) [54][660/1879] lr: 2.0000e-03 eta: 14:21:31 time: 0.5645 data_time: 0.0220 memory: 13723 grad_norm: 3.7127 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7659 loss: 0.7659 2022/08/09 10:30:17 - mmengine - INFO - Epoch(train) [54][680/1879] lr: 2.0000e-03 eta: 14:21:19 time: 0.6083 data_time: 0.0229 memory: 13723 grad_norm: 3.8373 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9453 loss: 0.9453 2022/08/09 10:30:30 - mmengine - INFO - Epoch(train) [54][700/1879] lr: 2.0000e-03 eta: 14:21:08 time: 0.6277 data_time: 0.0376 memory: 13723 grad_norm: 3.8215 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9810 loss: 0.9810 2022/08/09 10:30:42 - mmengine - INFO - Epoch(train) [54][720/1879] lr: 2.0000e-03 eta: 14:20:56 time: 0.5913 data_time: 0.0274 memory: 13723 grad_norm: 3.6673 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9243 loss: 0.9243 2022/08/09 10:30:54 - mmengine - INFO - Epoch(train) [54][740/1879] lr: 2.0000e-03 eta: 14:20:45 time: 0.6028 data_time: 0.0308 memory: 13723 grad_norm: 3.7201 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9399 loss: 0.9399 2022/08/09 10:31:05 - mmengine - INFO - Epoch(train) [54][760/1879] lr: 2.0000e-03 eta: 14:20:33 time: 0.5843 data_time: 0.0217 memory: 13723 grad_norm: 3.9094 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8707 loss: 0.8707 2022/08/09 10:31:17 - mmengine - INFO - Epoch(train) [54][780/1879] lr: 2.0000e-03 eta: 14:20:21 time: 0.5733 data_time: 0.0233 memory: 13723 grad_norm: 3.8082 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0054 loss: 1.0054 2022/08/09 10:31:28 - mmengine - INFO - Epoch(train) [54][800/1879] lr: 2.0000e-03 eta: 14:20:08 time: 0.5665 data_time: 0.0221 memory: 13723 grad_norm: 3.6980 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9590 loss: 0.9590 2022/08/09 10:31:40 - mmengine - INFO - Epoch(train) [54][820/1879] lr: 2.0000e-03 eta: 14:19:56 time: 0.5743 data_time: 0.0236 memory: 13723 grad_norm: 3.8365 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9270 loss: 0.9270 2022/08/09 10:31:51 - mmengine - INFO - Epoch(train) [54][840/1879] lr: 2.0000e-03 eta: 14:19:44 time: 0.5636 data_time: 0.0248 memory: 13723 grad_norm: 3.7045 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0081 loss: 1.0081 2022/08/09 10:32:02 - mmengine - INFO - Epoch(train) [54][860/1879] lr: 2.0000e-03 eta: 14:19:32 time: 0.5640 data_time: 0.0260 memory: 13723 grad_norm: 3.7241 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9559 loss: 0.9559 2022/08/09 10:32:14 - mmengine - INFO - Epoch(train) [54][880/1879] lr: 2.0000e-03 eta: 14:19:20 time: 0.5653 data_time: 0.0253 memory: 13723 grad_norm: 3.5822 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7280 loss: 0.7280 2022/08/09 10:32:25 - mmengine - INFO - Epoch(train) [54][900/1879] lr: 2.0000e-03 eta: 14:19:07 time: 0.5637 data_time: 0.0234 memory: 13723 grad_norm: 3.7375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8641 loss: 0.8641 2022/08/09 10:32:36 - mmengine - INFO - Epoch(train) [54][920/1879] lr: 2.0000e-03 eta: 14:18:55 time: 0.5661 data_time: 0.0255 memory: 13723 grad_norm: 3.7092 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8141 loss: 0.8141 2022/08/09 10:32:48 - mmengine - INFO - Epoch(train) [54][940/1879] lr: 2.0000e-03 eta: 14:18:43 time: 0.5652 data_time: 0.0237 memory: 13723 grad_norm: 3.8022 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0419 loss: 1.0419 2022/08/09 10:32:59 - mmengine - INFO - Epoch(train) [54][960/1879] lr: 2.0000e-03 eta: 14:18:31 time: 0.5614 data_time: 0.0252 memory: 13723 grad_norm: 3.8730 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7709 loss: 0.7709 2022/08/09 10:33:10 - mmengine - INFO - Epoch(train) [54][980/1879] lr: 2.0000e-03 eta: 14:18:19 time: 0.5676 data_time: 0.0250 memory: 13723 grad_norm: 3.6965 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8224 loss: 0.8224 2022/08/09 10:33:22 - mmengine - INFO - Epoch(train) [54][1000/1879] lr: 2.0000e-03 eta: 14:18:06 time: 0.5624 data_time: 0.0237 memory: 13723 grad_norm: 3.6087 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9098 loss: 0.9098 2022/08/09 10:33:33 - mmengine - INFO - Epoch(train) [54][1020/1879] lr: 2.0000e-03 eta: 14:17:54 time: 0.5668 data_time: 0.0259 memory: 13723 grad_norm: 3.6210 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9662 loss: 0.9662 2022/08/09 10:33:44 - mmengine - INFO - Epoch(train) [54][1040/1879] lr: 2.0000e-03 eta: 14:17:42 time: 0.5716 data_time: 0.0266 memory: 13723 grad_norm: 3.7330 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 0.9673 loss: 0.9673 2022/08/09 10:33:56 - mmengine - INFO - Epoch(train) [54][1060/1879] lr: 2.0000e-03 eta: 14:17:30 time: 0.5629 data_time: 0.0247 memory: 13723 grad_norm: 3.8137 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9392 loss: 0.9392 2022/08/09 10:34:07 - mmengine - INFO - Epoch(train) [54][1080/1879] lr: 2.0000e-03 eta: 14:17:17 time: 0.5623 data_time: 0.0242 memory: 13723 grad_norm: 3.8198 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0244 loss: 1.0244 2022/08/09 10:34:18 - mmengine - INFO - Epoch(train) [54][1100/1879] lr: 2.0000e-03 eta: 14:17:05 time: 0.5664 data_time: 0.0244 memory: 13723 grad_norm: 3.8294 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8853 loss: 0.8853 2022/08/09 10:34:29 - mmengine - INFO - Epoch(train) [54][1120/1879] lr: 2.0000e-03 eta: 14:16:53 time: 0.5612 data_time: 0.0256 memory: 13723 grad_norm: 3.6595 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8988 loss: 0.8988 2022/08/09 10:34:41 - mmengine - INFO - Epoch(train) [54][1140/1879] lr: 2.0000e-03 eta: 14:16:41 time: 0.5634 data_time: 0.0255 memory: 13723 grad_norm: 3.8769 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1059 loss: 1.1059 2022/08/09 10:34:52 - mmengine - INFO - Epoch(train) [54][1160/1879] lr: 2.0000e-03 eta: 14:16:28 time: 0.5631 data_time: 0.0251 memory: 13723 grad_norm: 3.7900 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0680 loss: 1.0680 2022/08/09 10:35:03 - mmengine - INFO - Epoch(train) [54][1180/1879] lr: 2.0000e-03 eta: 14:16:16 time: 0.5711 data_time: 0.0243 memory: 13723 grad_norm: 3.8209 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8757 loss: 0.8757 2022/08/09 10:35:18 - mmengine - INFO - Epoch(train) [54][1200/1879] lr: 2.0000e-03 eta: 14:16:07 time: 0.7163 data_time: 0.0265 memory: 13723 grad_norm: 3.8102 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8237 loss: 0.8237 2022/08/09 10:35:30 - mmengine - INFO - Epoch(train) [54][1220/1879] lr: 2.0000e-03 eta: 14:15:55 time: 0.5868 data_time: 0.0279 memory: 13723 grad_norm: 3.8488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9326 loss: 0.9326 2022/08/09 10:35:41 - mmengine - INFO - Epoch(train) [54][1240/1879] lr: 2.0000e-03 eta: 14:15:43 time: 0.5841 data_time: 0.0270 memory: 13723 grad_norm: 3.7118 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8679 loss: 0.8679 2022/08/09 10:35:53 - mmengine - INFO - Epoch(train) [54][1260/1879] lr: 2.0000e-03 eta: 14:15:31 time: 0.5925 data_time: 0.0247 memory: 13723 grad_norm: 3.8064 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9809 loss: 0.9809 2022/08/09 10:36:05 - mmengine - INFO - Epoch(train) [54][1280/1879] lr: 2.0000e-03 eta: 14:15:19 time: 0.5849 data_time: 0.0275 memory: 13723 grad_norm: 3.8664 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9478 loss: 0.9478 2022/08/09 10:36:17 - mmengine - INFO - Epoch(train) [54][1300/1879] lr: 2.0000e-03 eta: 14:15:08 time: 0.5861 data_time: 0.0235 memory: 13723 grad_norm: 3.7613 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8367 loss: 0.8367 2022/08/09 10:36:28 - mmengine - INFO - Epoch(train) [54][1320/1879] lr: 2.0000e-03 eta: 14:14:55 time: 0.5557 data_time: 0.0224 memory: 13723 grad_norm: 3.7461 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0327 loss: 1.0327 2022/08/09 10:36:39 - mmengine - INFO - Epoch(train) [54][1340/1879] lr: 2.0000e-03 eta: 14:14:43 time: 0.5617 data_time: 0.0258 memory: 13723 grad_norm: 3.7602 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8356 loss: 0.8356 2022/08/09 10:36:50 - mmengine - INFO - Epoch(train) [54][1360/1879] lr: 2.0000e-03 eta: 14:14:31 time: 0.5639 data_time: 0.0234 memory: 13723 grad_norm: 3.6732 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8046 loss: 0.8046 2022/08/09 10:37:01 - mmengine - INFO - Epoch(train) [54][1380/1879] lr: 2.0000e-03 eta: 14:14:18 time: 0.5628 data_time: 0.0252 memory: 13723 grad_norm: 3.7140 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7793 loss: 0.7793 2022/08/09 10:37:13 - mmengine - INFO - Epoch(train) [54][1400/1879] lr: 2.0000e-03 eta: 14:14:06 time: 0.5823 data_time: 0.0240 memory: 13723 grad_norm: 3.8226 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9612 loss: 0.9612 2022/08/09 10:37:20 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 10:37:24 - mmengine - INFO - Epoch(train) [54][1420/1879] lr: 2.0000e-03 eta: 14:13:54 time: 0.5603 data_time: 0.0240 memory: 13723 grad_norm: 3.6743 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8211 loss: 0.8211 2022/08/09 10:37:36 - mmengine - INFO - Epoch(train) [54][1440/1879] lr: 2.0000e-03 eta: 14:13:42 time: 0.5580 data_time: 0.0238 memory: 13723 grad_norm: 3.8121 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8948 loss: 0.8948 2022/08/09 10:37:47 - mmengine - INFO - Epoch(train) [54][1460/1879] lr: 2.0000e-03 eta: 14:13:30 time: 0.5667 data_time: 0.0240 memory: 13723 grad_norm: 3.7440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8211 loss: 0.8211 2022/08/09 10:37:58 - mmengine - INFO - Epoch(train) [54][1480/1879] lr: 2.0000e-03 eta: 14:13:18 time: 0.5807 data_time: 0.0251 memory: 13723 grad_norm: 3.6641 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9186 loss: 0.9186 2022/08/09 10:38:10 - mmengine - INFO - Epoch(train) [54][1500/1879] lr: 2.0000e-03 eta: 14:13:06 time: 0.5650 data_time: 0.0227 memory: 13723 grad_norm: 3.7148 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6885 loss: 0.6885 2022/08/09 10:38:21 - mmengine - INFO - Epoch(train) [54][1520/1879] lr: 2.0000e-03 eta: 14:12:53 time: 0.5630 data_time: 0.0243 memory: 13723 grad_norm: 3.7447 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9455 loss: 0.9455 2022/08/09 10:38:33 - mmengine - INFO - Epoch(train) [54][1540/1879] lr: 2.0000e-03 eta: 14:12:41 time: 0.5823 data_time: 0.0465 memory: 13723 grad_norm: 3.9021 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9591 loss: 0.9591 2022/08/09 10:38:44 - mmengine - INFO - Epoch(train) [54][1560/1879] lr: 2.0000e-03 eta: 14:12:29 time: 0.5635 data_time: 0.0248 memory: 13723 grad_norm: 3.7545 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8075 loss: 0.8075 2022/08/09 10:38:55 - mmengine - INFO - Epoch(train) [54][1580/1879] lr: 2.0000e-03 eta: 14:12:17 time: 0.5682 data_time: 0.0241 memory: 13723 grad_norm: 3.7845 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8942 loss: 0.8942 2022/08/09 10:39:07 - mmengine - INFO - Epoch(train) [54][1600/1879] lr: 2.0000e-03 eta: 14:12:05 time: 0.5594 data_time: 0.0235 memory: 13723 grad_norm: 3.7359 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8463 loss: 0.8463 2022/08/09 10:39:18 - mmengine - INFO - Epoch(train) [54][1620/1879] lr: 2.0000e-03 eta: 14:11:52 time: 0.5667 data_time: 0.0243 memory: 13723 grad_norm: 3.8557 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9236 loss: 0.9236 2022/08/09 10:39:29 - mmengine - INFO - Epoch(train) [54][1640/1879] lr: 2.0000e-03 eta: 14:11:40 time: 0.5621 data_time: 0.0255 memory: 13723 grad_norm: 3.7398 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0193 loss: 1.0193 2022/08/09 10:39:41 - mmengine - INFO - Epoch(train) [54][1660/1879] lr: 2.0000e-03 eta: 14:11:28 time: 0.5691 data_time: 0.0238 memory: 13723 grad_norm: 3.7295 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8753 loss: 0.8753 2022/08/09 10:39:52 - mmengine - INFO - Epoch(train) [54][1680/1879] lr: 2.0000e-03 eta: 14:11:16 time: 0.5597 data_time: 0.0226 memory: 13723 grad_norm: 3.8838 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9579 loss: 0.9579 2022/08/09 10:40:03 - mmengine - INFO - Epoch(train) [54][1700/1879] lr: 2.0000e-03 eta: 14:11:04 time: 0.5651 data_time: 0.0250 memory: 13723 grad_norm: 3.7487 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0776 loss: 1.0776 2022/08/09 10:40:15 - mmengine - INFO - Epoch(train) [54][1720/1879] lr: 2.0000e-03 eta: 14:10:52 time: 0.5793 data_time: 0.0304 memory: 13723 grad_norm: 3.7613 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9368 loss: 0.9368 2022/08/09 10:40:26 - mmengine - INFO - Epoch(train) [54][1740/1879] lr: 2.0000e-03 eta: 14:10:40 time: 0.5789 data_time: 0.0260 memory: 13723 grad_norm: 3.8708 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9086 loss: 0.9086 2022/08/09 10:40:38 - mmengine - INFO - Epoch(train) [54][1760/1879] lr: 2.0000e-03 eta: 14:10:28 time: 0.5770 data_time: 0.0263 memory: 13723 grad_norm: 3.7082 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9701 loss: 0.9701 2022/08/09 10:40:49 - mmengine - INFO - Epoch(train) [54][1780/1879] lr: 2.0000e-03 eta: 14:10:16 time: 0.5727 data_time: 0.0249 memory: 13723 grad_norm: 3.7628 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9127 loss: 0.9127 2022/08/09 10:41:01 - mmengine - INFO - Epoch(train) [54][1800/1879] lr: 2.0000e-03 eta: 14:10:03 time: 0.5647 data_time: 0.0242 memory: 13723 grad_norm: 3.7927 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8173 loss: 0.8173 2022/08/09 10:41:12 - mmengine - INFO - Epoch(train) [54][1820/1879] lr: 2.0000e-03 eta: 14:09:51 time: 0.5650 data_time: 0.0254 memory: 13723 grad_norm: 3.7488 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0616 loss: 1.0616 2022/08/09 10:41:23 - mmengine - INFO - Epoch(train) [54][1840/1879] lr: 2.0000e-03 eta: 14:09:39 time: 0.5665 data_time: 0.0241 memory: 13723 grad_norm: 3.7675 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0144 loss: 1.0144 2022/08/09 10:41:35 - mmengine - INFO - Epoch(train) [54][1860/1879] lr: 2.0000e-03 eta: 14:09:27 time: 0.5690 data_time: 0.0251 memory: 13723 grad_norm: 3.6708 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8304 loss: 0.8304 2022/08/09 10:41:45 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 10:41:45 - mmengine - INFO - Epoch(train) [54][1879/1879] lr: 2.0000e-03 eta: 14:09:27 time: 0.5317 data_time: 0.0188 memory: 13723 grad_norm: 3.8193 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9240 loss: 0.9240 2022/08/09 10:41:45 - mmengine - INFO - Saving checkpoint at 54 epochs 2022/08/09 10:41:59 - mmengine - INFO - Epoch(val) [54][20/155] eta: 0:01:28 time: 0.6565 data_time: 0.5163 memory: 1829 2022/08/09 10:42:08 - mmengine - INFO - Epoch(val) [54][40/155] eta: 0:00:51 time: 0.4445 data_time: 0.3000 memory: 1829 2022/08/09 10:42:20 - mmengine - INFO - Epoch(val) [54][60/155] eta: 0:00:56 time: 0.5900 data_time: 0.4496 memory: 1829 2022/08/09 10:42:29 - mmengine - INFO - Epoch(val) [54][80/155] eta: 0:00:34 time: 0.4663 data_time: 0.3255 memory: 1829 2022/08/09 10:42:41 - mmengine - INFO - Epoch(val) [54][100/155] eta: 0:00:33 time: 0.6064 data_time: 0.4667 memory: 1829 2022/08/09 10:42:51 - mmengine - INFO - Epoch(val) [54][120/155] eta: 0:00:16 time: 0.4718 data_time: 0.3323 memory: 1829 2022/08/09 10:43:04 - mmengine - INFO - Epoch(val) [54][140/155] eta: 0:00:10 time: 0.6779 data_time: 0.5381 memory: 1829 2022/08/09 10:43:13 - mmengine - INFO - Epoch(val) [54][155/155] acc/top1: 0.7071 acc/top5: 0.8968 acc/mean1: 0.7070 2022/08/09 10:43:13 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_54.pth is removed 2022/08/09 10:43:14 - mmengine - INFO - The best checkpoint with 0.7071 acc/top1 at 55 epoch is saved to best_acc/top1_epoch_55.pth. 2022/08/09 10:43:30 - mmengine - INFO - Epoch(train) [55][20/1879] lr: 2.0000e-03 eta: 14:08:57 time: 0.7732 data_time: 0.2285 memory: 13723 grad_norm: 3.6616 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8155 loss: 0.8155 2022/08/09 10:43:42 - mmengine - INFO - Epoch(train) [55][40/1879] lr: 2.0000e-03 eta: 14:08:46 time: 0.6008 data_time: 0.0533 memory: 13723 grad_norm: 3.7729 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7949 loss: 0.7949 2022/08/09 10:43:53 - mmengine - INFO - Epoch(train) [55][60/1879] lr: 2.0000e-03 eta: 14:08:34 time: 0.5695 data_time: 0.0238 memory: 13723 grad_norm: 3.7798 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9267 loss: 0.9267 2022/08/09 10:44:05 - mmengine - INFO - Epoch(train) [55][80/1879] lr: 2.0000e-03 eta: 14:08:21 time: 0.5651 data_time: 0.0266 memory: 13723 grad_norm: 3.7801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9044 loss: 0.9044 2022/08/09 10:44:16 - mmengine - INFO - Epoch(train) [55][100/1879] lr: 2.0000e-03 eta: 14:08:10 time: 0.5909 data_time: 0.0544 memory: 13723 grad_norm: 3.7765 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9396 loss: 0.9396 2022/08/09 10:44:28 - mmengine - INFO - Epoch(train) [55][120/1879] lr: 2.0000e-03 eta: 14:07:57 time: 0.5673 data_time: 0.0252 memory: 13723 grad_norm: 3.5954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8320 loss: 0.8320 2022/08/09 10:44:39 - mmengine - INFO - Epoch(train) [55][140/1879] lr: 2.0000e-03 eta: 14:07:45 time: 0.5583 data_time: 0.0235 memory: 13723 grad_norm: 3.8285 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0025 loss: 1.0025 2022/08/09 10:44:50 - mmengine - INFO - Epoch(train) [55][160/1879] lr: 2.0000e-03 eta: 14:07:33 time: 0.5669 data_time: 0.0247 memory: 13723 grad_norm: 3.7752 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9183 loss: 0.9183 2022/08/09 10:45:02 - mmengine - INFO - Epoch(train) [55][180/1879] lr: 2.0000e-03 eta: 14:07:21 time: 0.5812 data_time: 0.0223 memory: 13723 grad_norm: 3.7265 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9195 loss: 0.9195 2022/08/09 10:45:13 - mmengine - INFO - Epoch(train) [55][200/1879] lr: 2.0000e-03 eta: 14:07:09 time: 0.5717 data_time: 0.0291 memory: 13723 grad_norm: 3.7140 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7668 loss: 0.7668 2022/08/09 10:45:25 - mmengine - INFO - Epoch(train) [55][220/1879] lr: 2.0000e-03 eta: 14:06:57 time: 0.5796 data_time: 0.0284 memory: 13723 grad_norm: 3.6638 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9093 loss: 0.9093 2022/08/09 10:45:36 - mmengine - INFO - Epoch(train) [55][240/1879] lr: 2.0000e-03 eta: 14:06:45 time: 0.5690 data_time: 0.0238 memory: 13723 grad_norm: 3.5417 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9591 loss: 0.9591 2022/08/09 10:45:48 - mmengine - INFO - Epoch(train) [55][260/1879] lr: 2.0000e-03 eta: 14:06:33 time: 0.5661 data_time: 0.0243 memory: 13723 grad_norm: 3.7835 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9547 loss: 0.9547 2022/08/09 10:45:59 - mmengine - INFO - Epoch(train) [55][280/1879] lr: 2.0000e-03 eta: 14:06:20 time: 0.5630 data_time: 0.0254 memory: 13723 grad_norm: 3.7110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8456 loss: 0.8456 2022/08/09 10:46:10 - mmengine - INFO - Epoch(train) [55][300/1879] lr: 2.0000e-03 eta: 14:06:08 time: 0.5632 data_time: 0.0231 memory: 13723 grad_norm: 3.5809 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8110 loss: 0.8110 2022/08/09 10:46:22 - mmengine - INFO - Epoch(train) [55][320/1879] lr: 2.0000e-03 eta: 14:05:56 time: 0.5681 data_time: 0.0243 memory: 13723 grad_norm: 3.8393 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9321 loss: 0.9321 2022/08/09 10:46:33 - mmengine - INFO - Epoch(train) [55][340/1879] lr: 2.0000e-03 eta: 14:05:44 time: 0.5620 data_time: 0.0229 memory: 13723 grad_norm: 3.7146 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9178 loss: 0.9178 2022/08/09 10:46:44 - mmengine - INFO - Epoch(train) [55][360/1879] lr: 2.0000e-03 eta: 14:05:32 time: 0.5653 data_time: 0.0242 memory: 13723 grad_norm: 3.8241 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9881 loss: 0.9881 2022/08/09 10:46:56 - mmengine - INFO - Epoch(train) [55][380/1879] lr: 2.0000e-03 eta: 14:05:20 time: 0.5743 data_time: 0.0231 memory: 13723 grad_norm: 3.7247 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9185 loss: 0.9185 2022/08/09 10:47:07 - mmengine - INFO - Epoch(train) [55][400/1879] lr: 2.0000e-03 eta: 14:05:08 time: 0.5716 data_time: 0.0222 memory: 13723 grad_norm: 3.7658 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8967 loss: 0.8967 2022/08/09 10:47:19 - mmengine - INFO - Epoch(train) [55][420/1879] lr: 2.0000e-03 eta: 14:04:55 time: 0.5750 data_time: 0.0271 memory: 13723 grad_norm: 3.7069 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7858 loss: 0.7858 2022/08/09 10:47:30 - mmengine - INFO - Epoch(train) [55][440/1879] lr: 2.0000e-03 eta: 14:04:44 time: 0.5791 data_time: 0.0213 memory: 13723 grad_norm: 3.6133 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9336 loss: 0.9336 2022/08/09 10:47:42 - mmengine - INFO - Epoch(train) [55][460/1879] lr: 2.0000e-03 eta: 14:04:32 time: 0.5897 data_time: 0.0233 memory: 13723 grad_norm: 3.7753 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9232 loss: 0.9232 2022/08/09 10:47:54 - mmengine - INFO - Epoch(train) [55][480/1879] lr: 2.0000e-03 eta: 14:04:20 time: 0.5831 data_time: 0.0227 memory: 13723 grad_norm: 3.6894 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8051 loss: 0.8051 2022/08/09 10:48:05 - mmengine - INFO - Epoch(train) [55][500/1879] lr: 2.0000e-03 eta: 14:04:08 time: 0.5775 data_time: 0.0241 memory: 13723 grad_norm: 3.7808 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9747 loss: 0.9747 2022/08/09 10:48:17 - mmengine - INFO - Epoch(train) [55][520/1879] lr: 2.0000e-03 eta: 14:03:56 time: 0.5749 data_time: 0.0269 memory: 13723 grad_norm: 3.8849 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8488 loss: 0.8488 2022/08/09 10:48:25 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 10:48:28 - mmengine - INFO - Epoch(train) [55][540/1879] lr: 2.0000e-03 eta: 14:03:44 time: 0.5765 data_time: 0.0234 memory: 13723 grad_norm: 3.7281 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9677 loss: 0.9677 2022/08/09 10:48:40 - mmengine - INFO - Epoch(train) [55][560/1879] lr: 2.0000e-03 eta: 14:03:32 time: 0.5793 data_time: 0.0247 memory: 13723 grad_norm: 3.6208 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0189 loss: 1.0189 2022/08/09 10:48:51 - mmengine - INFO - Epoch(train) [55][580/1879] lr: 2.0000e-03 eta: 14:03:20 time: 0.5643 data_time: 0.0226 memory: 13723 grad_norm: 3.7779 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8784 loss: 0.8784 2022/08/09 10:49:03 - mmengine - INFO - Epoch(train) [55][600/1879] lr: 2.0000e-03 eta: 14:03:08 time: 0.5691 data_time: 0.0256 memory: 13723 grad_norm: 3.8441 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8461 loss: 0.8461 2022/08/09 10:49:14 - mmengine - INFO - Epoch(train) [55][620/1879] lr: 2.0000e-03 eta: 14:02:56 time: 0.5867 data_time: 0.0227 memory: 13723 grad_norm: 3.7459 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8818 loss: 0.8818 2022/08/09 10:49:26 - mmengine - INFO - Epoch(train) [55][640/1879] lr: 2.0000e-03 eta: 14:02:44 time: 0.5873 data_time: 0.0241 memory: 13723 grad_norm: 3.7064 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8631 loss: 0.8631 2022/08/09 10:49:38 - mmengine - INFO - Epoch(train) [55][660/1879] lr: 2.0000e-03 eta: 14:02:32 time: 0.5662 data_time: 0.0246 memory: 13723 grad_norm: 3.8199 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8648 loss: 0.8648 2022/08/09 10:49:49 - mmengine - INFO - Epoch(train) [55][680/1879] lr: 2.0000e-03 eta: 14:02:20 time: 0.5666 data_time: 0.0226 memory: 13723 grad_norm: 3.8213 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8021 loss: 0.8021 2022/08/09 10:50:00 - mmengine - INFO - Epoch(train) [55][700/1879] lr: 2.0000e-03 eta: 14:02:07 time: 0.5642 data_time: 0.0239 memory: 13723 grad_norm: 3.8081 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8661 loss: 0.8661 2022/08/09 10:50:12 - mmengine - INFO - Epoch(train) [55][720/1879] lr: 2.0000e-03 eta: 14:01:56 time: 0.5992 data_time: 0.0230 memory: 13723 grad_norm: 3.6872 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8892 loss: 0.8892 2022/08/09 10:50:26 - mmengine - INFO - Epoch(train) [55][740/1879] lr: 2.0000e-03 eta: 14:01:45 time: 0.6758 data_time: 0.0263 memory: 13723 grad_norm: 3.5628 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8641 loss: 0.8641 2022/08/09 10:50:38 - mmengine - INFO - Epoch(train) [55][760/1879] lr: 2.0000e-03 eta: 14:01:34 time: 0.6327 data_time: 0.0263 memory: 13723 grad_norm: 3.7953 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9928 loss: 0.9928 2022/08/09 10:50:50 - mmengine - INFO - Epoch(train) [55][780/1879] lr: 2.0000e-03 eta: 14:01:22 time: 0.5763 data_time: 0.0240 memory: 13723 grad_norm: 3.8639 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8242 loss: 0.8242 2022/08/09 10:51:01 - mmengine - INFO - Epoch(train) [55][800/1879] lr: 2.0000e-03 eta: 14:01:10 time: 0.5709 data_time: 0.0249 memory: 13723 grad_norm: 3.7604 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8885 loss: 0.8885 2022/08/09 10:51:13 - mmengine - INFO - Epoch(train) [55][820/1879] lr: 2.0000e-03 eta: 14:00:58 time: 0.5691 data_time: 0.0221 memory: 13723 grad_norm: 3.8399 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8649 loss: 0.8649 2022/08/09 10:51:24 - mmengine - INFO - Epoch(train) [55][840/1879] lr: 2.0000e-03 eta: 14:00:46 time: 0.5744 data_time: 0.0270 memory: 13723 grad_norm: 3.8123 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8774 loss: 0.8774 2022/08/09 10:51:36 - mmengine - INFO - Epoch(train) [55][860/1879] lr: 2.0000e-03 eta: 14:00:34 time: 0.5709 data_time: 0.0265 memory: 13723 grad_norm: 3.9857 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8235 loss: 0.8235 2022/08/09 10:51:47 - mmengine - INFO - Epoch(train) [55][880/1879] lr: 2.0000e-03 eta: 14:00:22 time: 0.5750 data_time: 0.0233 memory: 13723 grad_norm: 3.8377 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7077 loss: 0.7077 2022/08/09 10:51:59 - mmengine - INFO - Epoch(train) [55][900/1879] lr: 2.0000e-03 eta: 14:00:10 time: 0.5750 data_time: 0.0251 memory: 13723 grad_norm: 3.7853 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8098 loss: 0.8098 2022/08/09 10:52:10 - mmengine - INFO - Epoch(train) [55][920/1879] lr: 2.0000e-03 eta: 13:59:58 time: 0.5681 data_time: 0.0249 memory: 13723 grad_norm: 3.7995 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0081 loss: 1.0081 2022/08/09 10:52:21 - mmengine - INFO - Epoch(train) [55][940/1879] lr: 2.0000e-03 eta: 13:59:46 time: 0.5644 data_time: 0.0231 memory: 13723 grad_norm: 3.7013 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7296 loss: 0.7296 2022/08/09 10:52:33 - mmengine - INFO - Epoch(train) [55][960/1879] lr: 2.0000e-03 eta: 13:59:33 time: 0.5710 data_time: 0.0229 memory: 13723 grad_norm: 3.7701 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0704 loss: 1.0704 2022/08/09 10:52:44 - mmengine - INFO - Epoch(train) [55][980/1879] lr: 2.0000e-03 eta: 13:59:21 time: 0.5672 data_time: 0.0244 memory: 13723 grad_norm: 3.7503 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7143 loss: 0.7143 2022/08/09 10:52:56 - mmengine - INFO - Epoch(train) [55][1000/1879] lr: 2.0000e-03 eta: 13:59:09 time: 0.5684 data_time: 0.0255 memory: 13723 grad_norm: 3.8374 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9450 loss: 0.9450 2022/08/09 10:53:07 - mmengine - INFO - Epoch(train) [55][1020/1879] lr: 2.0000e-03 eta: 13:58:57 time: 0.5612 data_time: 0.0239 memory: 13723 grad_norm: 3.6243 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9037 loss: 0.9037 2022/08/09 10:53:18 - mmengine - INFO - Epoch(train) [55][1040/1879] lr: 2.0000e-03 eta: 13:58:45 time: 0.5681 data_time: 0.0245 memory: 13723 grad_norm: 3.7770 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8336 loss: 0.8336 2022/08/09 10:53:29 - mmengine - INFO - Epoch(train) [55][1060/1879] lr: 2.0000e-03 eta: 13:58:33 time: 0.5637 data_time: 0.0247 memory: 13723 grad_norm: 3.6687 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8501 loss: 0.8501 2022/08/09 10:53:41 - mmengine - INFO - Epoch(train) [55][1080/1879] lr: 2.0000e-03 eta: 13:58:21 time: 0.5780 data_time: 0.0230 memory: 13723 grad_norm: 3.7625 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7308 loss: 0.7308 2022/08/09 10:53:52 - mmengine - INFO - Epoch(train) [55][1100/1879] lr: 2.0000e-03 eta: 13:58:08 time: 0.5650 data_time: 0.0238 memory: 13723 grad_norm: 3.8633 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8679 loss: 0.8679 2022/08/09 10:54:04 - mmengine - INFO - Epoch(train) [55][1120/1879] lr: 2.0000e-03 eta: 13:57:56 time: 0.5616 data_time: 0.0233 memory: 13723 grad_norm: 3.8216 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8363 loss: 0.8363 2022/08/09 10:54:15 - mmengine - INFO - Epoch(train) [55][1140/1879] lr: 2.0000e-03 eta: 13:57:44 time: 0.5684 data_time: 0.0265 memory: 13723 grad_norm: 3.9541 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9123 loss: 0.9123 2022/08/09 10:54:27 - mmengine - INFO - Epoch(train) [55][1160/1879] lr: 2.0000e-03 eta: 13:57:32 time: 0.5765 data_time: 0.0253 memory: 13723 grad_norm: 3.8220 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7981 loss: 0.7981 2022/08/09 10:54:38 - mmengine - INFO - Epoch(train) [55][1180/1879] lr: 2.0000e-03 eta: 13:57:20 time: 0.5664 data_time: 0.0234 memory: 13723 grad_norm: 3.8622 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7809 loss: 0.7809 2022/08/09 10:54:49 - mmengine - INFO - Epoch(train) [55][1200/1879] lr: 2.0000e-03 eta: 13:57:08 time: 0.5760 data_time: 0.0253 memory: 13723 grad_norm: 3.7554 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9195 loss: 0.9195 2022/08/09 10:55:01 - mmengine - INFO - Epoch(train) [55][1220/1879] lr: 2.0000e-03 eta: 13:56:56 time: 0.5598 data_time: 0.0234 memory: 13723 grad_norm: 3.7684 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7853 loss: 0.7853 2022/08/09 10:55:14 - mmengine - INFO - Epoch(train) [55][1240/1879] lr: 2.0000e-03 eta: 13:56:45 time: 0.6526 data_time: 0.1133 memory: 13723 grad_norm: 3.6742 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7766 loss: 0.7766 2022/08/09 10:55:25 - mmengine - INFO - Epoch(train) [55][1260/1879] lr: 2.0000e-03 eta: 13:56:33 time: 0.5896 data_time: 0.0355 memory: 13723 grad_norm: 3.8938 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7696 loss: 0.7696 2022/08/09 10:55:37 - mmengine - INFO - Epoch(train) [55][1280/1879] lr: 2.0000e-03 eta: 13:56:21 time: 0.5839 data_time: 0.0256 memory: 13723 grad_norm: 3.9087 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9239 loss: 0.9239 2022/08/09 10:55:49 - mmengine - INFO - Epoch(train) [55][1300/1879] lr: 2.0000e-03 eta: 13:56:09 time: 0.5854 data_time: 0.0273 memory: 13723 grad_norm: 3.8636 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8262 loss: 0.8262 2022/08/09 10:56:01 - mmengine - INFO - Epoch(train) [55][1320/1879] lr: 2.0000e-03 eta: 13:55:57 time: 0.5877 data_time: 0.0261 memory: 13723 grad_norm: 3.7297 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7826 loss: 0.7826 2022/08/09 10:56:12 - mmengine - INFO - Epoch(train) [55][1340/1879] lr: 2.0000e-03 eta: 13:55:46 time: 0.5830 data_time: 0.0267 memory: 13723 grad_norm: 3.7961 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9012 loss: 0.9012 2022/08/09 10:56:24 - mmengine - INFO - Epoch(train) [55][1360/1879] lr: 2.0000e-03 eta: 13:55:33 time: 0.5630 data_time: 0.0258 memory: 13723 grad_norm: 3.8294 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8468 loss: 0.8468 2022/08/09 10:56:35 - mmengine - INFO - Epoch(train) [55][1380/1879] lr: 2.0000e-03 eta: 13:55:21 time: 0.5716 data_time: 0.0247 memory: 13723 grad_norm: 3.8455 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0006 loss: 1.0006 2022/08/09 10:56:46 - mmengine - INFO - Epoch(train) [55][1400/1879] lr: 2.0000e-03 eta: 13:55:09 time: 0.5623 data_time: 0.0223 memory: 13723 grad_norm: 3.6857 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9076 loss: 0.9076 2022/08/09 10:56:58 - mmengine - INFO - Epoch(train) [55][1420/1879] lr: 2.0000e-03 eta: 13:54:57 time: 0.5616 data_time: 0.0235 memory: 13723 grad_norm: 3.7769 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5594 loss: 0.5594 2022/08/09 10:57:09 - mmengine - INFO - Epoch(train) [55][1440/1879] lr: 2.0000e-03 eta: 13:54:45 time: 0.5648 data_time: 0.0244 memory: 13723 grad_norm: 3.8194 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8234 loss: 0.8234 2022/08/09 10:57:20 - mmengine - INFO - Epoch(train) [55][1460/1879] lr: 2.0000e-03 eta: 13:54:32 time: 0.5626 data_time: 0.0239 memory: 13723 grad_norm: 3.6811 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6992 loss: 0.6992 2022/08/09 10:57:31 - mmengine - INFO - Epoch(train) [55][1480/1879] lr: 2.0000e-03 eta: 13:54:20 time: 0.5608 data_time: 0.0241 memory: 13723 grad_norm: 3.7844 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0210 loss: 1.0210 2022/08/09 10:57:43 - mmengine - INFO - Epoch(train) [55][1500/1879] lr: 2.0000e-03 eta: 13:54:08 time: 0.5635 data_time: 0.0236 memory: 13723 grad_norm: 3.8024 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7634 loss: 0.7634 2022/08/09 10:57:54 - mmengine - INFO - Epoch(train) [55][1520/1879] lr: 2.0000e-03 eta: 13:53:56 time: 0.5819 data_time: 0.0221 memory: 13723 grad_norm: 3.8533 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9559 loss: 0.9559 2022/08/09 10:58:02 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 10:58:06 - mmengine - INFO - Epoch(train) [55][1540/1879] lr: 2.0000e-03 eta: 13:53:44 time: 0.5638 data_time: 0.0249 memory: 13723 grad_norm: 3.8939 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9200 loss: 0.9200 2022/08/09 10:58:17 - mmengine - INFO - Epoch(train) [55][1560/1879] lr: 2.0000e-03 eta: 13:53:32 time: 0.5795 data_time: 0.0230 memory: 13723 grad_norm: 3.7946 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9085 loss: 0.9085 2022/08/09 10:58:28 - mmengine - INFO - Epoch(train) [55][1580/1879] lr: 2.0000e-03 eta: 13:53:20 time: 0.5602 data_time: 0.0229 memory: 13723 grad_norm: 3.7967 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8528 loss: 0.8528 2022/08/09 10:58:40 - mmengine - INFO - Epoch(train) [55][1600/1879] lr: 2.0000e-03 eta: 13:53:07 time: 0.5663 data_time: 0.0238 memory: 13723 grad_norm: 3.8107 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9009 loss: 0.9009 2022/08/09 10:58:51 - mmengine - INFO - Epoch(train) [55][1620/1879] lr: 2.0000e-03 eta: 13:52:55 time: 0.5644 data_time: 0.0250 memory: 13723 grad_norm: 3.7354 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9151 loss: 0.9151 2022/08/09 10:59:03 - mmengine - INFO - Epoch(train) [55][1640/1879] lr: 2.0000e-03 eta: 13:52:43 time: 0.5725 data_time: 0.0279 memory: 13723 grad_norm: 3.7720 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9195 loss: 0.9195 2022/08/09 10:59:14 - mmengine - INFO - Epoch(train) [55][1660/1879] lr: 2.0000e-03 eta: 13:52:31 time: 0.5636 data_time: 0.0241 memory: 13723 grad_norm: 3.7865 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9488 loss: 0.9488 2022/08/09 10:59:25 - mmengine - INFO - Epoch(train) [55][1680/1879] lr: 2.0000e-03 eta: 13:52:19 time: 0.5614 data_time: 0.0247 memory: 13723 grad_norm: 3.8648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9024 loss: 0.9024 2022/08/09 10:59:36 - mmengine - INFO - Epoch(train) [55][1700/1879] lr: 2.0000e-03 eta: 13:52:07 time: 0.5693 data_time: 0.0233 memory: 13723 grad_norm: 3.7387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9017 loss: 0.9017 2022/08/09 10:59:48 - mmengine - INFO - Epoch(train) [55][1720/1879] lr: 2.0000e-03 eta: 13:51:54 time: 0.5628 data_time: 0.0235 memory: 13723 grad_norm: 3.8197 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9952 loss: 0.9952 2022/08/09 10:59:59 - mmengine - INFO - Epoch(train) [55][1740/1879] lr: 2.0000e-03 eta: 13:51:43 time: 0.5823 data_time: 0.0222 memory: 13723 grad_norm: 3.6304 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9815 loss: 0.9815 2022/08/09 11:00:11 - mmengine - INFO - Epoch(train) [55][1760/1879] lr: 2.0000e-03 eta: 13:51:30 time: 0.5745 data_time: 0.0294 memory: 13723 grad_norm: 3.8395 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9657 loss: 0.9657 2022/08/09 11:00:23 - mmengine - INFO - Epoch(train) [55][1780/1879] lr: 2.0000e-03 eta: 13:51:19 time: 0.5903 data_time: 0.0286 memory: 13723 grad_norm: 3.8640 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7520 loss: 0.7520 2022/08/09 11:00:34 - mmengine - INFO - Epoch(train) [55][1800/1879] lr: 2.0000e-03 eta: 13:51:07 time: 0.5825 data_time: 0.0257 memory: 13723 grad_norm: 3.7103 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8106 loss: 0.8106 2022/08/09 11:00:46 - mmengine - INFO - Epoch(train) [55][1820/1879] lr: 2.0000e-03 eta: 13:50:55 time: 0.5923 data_time: 0.0261 memory: 13723 grad_norm: 3.8586 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8837 loss: 0.8837 2022/08/09 11:00:58 - mmengine - INFO - Epoch(train) [55][1840/1879] lr: 2.0000e-03 eta: 13:50:43 time: 0.5827 data_time: 0.0268 memory: 13723 grad_norm: 3.7126 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0946 loss: 1.0946 2022/08/09 11:01:10 - mmengine - INFO - Epoch(train) [55][1860/1879] lr: 2.0000e-03 eta: 13:50:31 time: 0.5813 data_time: 0.0233 memory: 13723 grad_norm: 3.6956 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7932 loss: 0.7932 2022/08/09 11:01:20 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 11:01:20 - mmengine - INFO - Epoch(train) [55][1879/1879] lr: 2.0000e-03 eta: 13:50:31 time: 0.5335 data_time: 0.0175 memory: 13723 grad_norm: 3.9368 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.8005 loss: 0.8005 2022/08/09 11:01:33 - mmengine - INFO - Epoch(val) [55][20/155] eta: 0:01:31 time: 0.6749 data_time: 0.5337 memory: 1829 2022/08/09 11:01:42 - mmengine - INFO - Epoch(val) [55][40/155] eta: 0:00:52 time: 0.4563 data_time: 0.3169 memory: 1829 2022/08/09 11:01:54 - mmengine - INFO - Epoch(val) [55][60/155] eta: 0:00:54 time: 0.5767 data_time: 0.4372 memory: 1829 2022/08/09 11:02:04 - mmengine - INFO - Epoch(val) [55][80/155] eta: 0:00:36 time: 0.4826 data_time: 0.3428 memory: 1829 2022/08/09 11:02:15 - mmengine - INFO - Epoch(val) [55][100/155] eta: 0:00:32 time: 0.5868 data_time: 0.4473 memory: 1829 2022/08/09 11:02:25 - mmengine - INFO - Epoch(val) [55][120/155] eta: 0:00:16 time: 0.4762 data_time: 0.3328 memory: 1829 2022/08/09 11:02:37 - mmengine - INFO - Epoch(val) [55][140/155] eta: 0:00:08 time: 0.5929 data_time: 0.4540 memory: 1829 2022/08/09 11:02:45 - mmengine - INFO - Epoch(val) [55][155/155] acc/top1: 0.7112 acc/top5: 0.8965 acc/mean1: 0.7111 2022/08/09 11:02:45 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_55.pth is removed 2022/08/09 11:02:46 - mmengine - INFO - The best checkpoint with 0.7112 acc/top1 at 56 epoch is saved to best_acc/top1_epoch_56.pth. 2022/08/09 11:03:03 - mmengine - INFO - Epoch(train) [56][20/1879] lr: 2.0000e-03 eta: 13:50:03 time: 0.8247 data_time: 0.2733 memory: 13723 grad_norm: 3.8779 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9464 loss: 0.9464 2022/08/09 11:03:14 - mmengine - INFO - Epoch(train) [56][40/1879] lr: 2.0000e-03 eta: 13:49:51 time: 0.5792 data_time: 0.0386 memory: 13723 grad_norm: 3.8435 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7869 loss: 0.7869 2022/08/09 11:03:25 - mmengine - INFO - Epoch(train) [56][60/1879] lr: 2.0000e-03 eta: 13:49:39 time: 0.5660 data_time: 0.0256 memory: 13723 grad_norm: 3.7123 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8411 loss: 0.8411 2022/08/09 11:03:37 - mmengine - INFO - Epoch(train) [56][80/1879] lr: 2.0000e-03 eta: 13:49:27 time: 0.5640 data_time: 0.0237 memory: 13723 grad_norm: 3.7648 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9013 loss: 0.9013 2022/08/09 11:03:48 - mmengine - INFO - Epoch(train) [56][100/1879] lr: 2.0000e-03 eta: 13:49:15 time: 0.5641 data_time: 0.0231 memory: 13723 grad_norm: 3.7170 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8272 loss: 0.8272 2022/08/09 11:03:59 - mmengine - INFO - Epoch(train) [56][120/1879] lr: 2.0000e-03 eta: 13:49:02 time: 0.5724 data_time: 0.0241 memory: 13723 grad_norm: 3.6415 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8544 loss: 0.8544 2022/08/09 11:04:11 - mmengine - INFO - Epoch(train) [56][140/1879] lr: 2.0000e-03 eta: 13:48:50 time: 0.5674 data_time: 0.0242 memory: 13723 grad_norm: 3.7632 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8893 loss: 0.8893 2022/08/09 11:04:22 - mmengine - INFO - Epoch(train) [56][160/1879] lr: 2.0000e-03 eta: 13:48:38 time: 0.5666 data_time: 0.0250 memory: 13723 grad_norm: 3.6451 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7017 loss: 0.7017 2022/08/09 11:04:34 - mmengine - INFO - Epoch(train) [56][180/1879] lr: 2.0000e-03 eta: 13:48:26 time: 0.5677 data_time: 0.0221 memory: 13723 grad_norm: 3.7162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7349 loss: 0.7349 2022/08/09 11:04:45 - mmengine - INFO - Epoch(train) [56][200/1879] lr: 2.0000e-03 eta: 13:48:14 time: 0.5635 data_time: 0.0228 memory: 13723 grad_norm: 3.7687 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9079 loss: 0.9079 2022/08/09 11:04:56 - mmengine - INFO - Epoch(train) [56][220/1879] lr: 2.0000e-03 eta: 13:48:02 time: 0.5687 data_time: 0.0233 memory: 13723 grad_norm: 3.7659 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8534 loss: 0.8534 2022/08/09 11:05:08 - mmengine - INFO - Epoch(train) [56][240/1879] lr: 2.0000e-03 eta: 13:47:50 time: 0.5913 data_time: 0.0212 memory: 13723 grad_norm: 3.7633 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8163 loss: 0.8163 2022/08/09 11:05:20 - mmengine - INFO - Epoch(train) [56][260/1879] lr: 2.0000e-03 eta: 13:47:38 time: 0.5779 data_time: 0.0273 memory: 13723 grad_norm: 3.8065 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7476 loss: 0.7476 2022/08/09 11:05:31 - mmengine - INFO - Epoch(train) [56][280/1879] lr: 2.0000e-03 eta: 13:47:26 time: 0.5827 data_time: 0.0261 memory: 13723 grad_norm: 3.8834 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9285 loss: 0.9285 2022/08/09 11:05:43 - mmengine - INFO - Epoch(train) [56][300/1879] lr: 2.0000e-03 eta: 13:47:14 time: 0.5814 data_time: 0.0247 memory: 13723 grad_norm: 3.7937 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8907 loss: 0.8907 2022/08/09 11:05:54 - mmengine - INFO - Epoch(train) [56][320/1879] lr: 2.0000e-03 eta: 13:47:02 time: 0.5697 data_time: 0.0248 memory: 13723 grad_norm: 3.8222 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9626 loss: 0.9626 2022/08/09 11:06:06 - mmengine - INFO - Epoch(train) [56][340/1879] lr: 2.0000e-03 eta: 13:46:50 time: 0.5605 data_time: 0.0238 memory: 13723 grad_norm: 3.7129 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0457 loss: 1.0457 2022/08/09 11:06:17 - mmengine - INFO - Epoch(train) [56][360/1879] lr: 2.0000e-03 eta: 13:46:38 time: 0.5713 data_time: 0.0247 memory: 13723 grad_norm: 3.7792 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8499 loss: 0.8499 2022/08/09 11:06:28 - mmengine - INFO - Epoch(train) [56][380/1879] lr: 2.0000e-03 eta: 13:46:26 time: 0.5618 data_time: 0.0255 memory: 13723 grad_norm: 3.7560 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8464 loss: 0.8464 2022/08/09 11:06:40 - mmengine - INFO - Epoch(train) [56][400/1879] lr: 2.0000e-03 eta: 13:46:13 time: 0.5675 data_time: 0.0246 memory: 13723 grad_norm: 3.7751 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8461 loss: 0.8461 2022/08/09 11:06:51 - mmengine - INFO - Epoch(train) [56][420/1879] lr: 2.0000e-03 eta: 13:46:01 time: 0.5669 data_time: 0.0262 memory: 13723 grad_norm: 3.7344 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8471 loss: 0.8471 2022/08/09 11:07:02 - mmengine - INFO - Epoch(train) [56][440/1879] lr: 2.0000e-03 eta: 13:45:49 time: 0.5637 data_time: 0.0240 memory: 13723 grad_norm: 3.6321 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6302 loss: 0.6302 2022/08/09 11:07:13 - mmengine - INFO - Epoch(train) [56][460/1879] lr: 2.0000e-03 eta: 13:45:37 time: 0.5605 data_time: 0.0244 memory: 13723 grad_norm: 3.8094 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8467 loss: 0.8467 2022/08/09 11:07:25 - mmengine - INFO - Epoch(train) [56][480/1879] lr: 2.0000e-03 eta: 13:45:25 time: 0.5655 data_time: 0.0239 memory: 13723 grad_norm: 3.6053 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8800 loss: 0.8800 2022/08/09 11:07:36 - mmengine - INFO - Epoch(train) [56][500/1879] lr: 2.0000e-03 eta: 13:45:13 time: 0.5638 data_time: 0.0228 memory: 13723 grad_norm: 3.8203 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8233 loss: 0.8233 2022/08/09 11:07:47 - mmengine - INFO - Epoch(train) [56][520/1879] lr: 2.0000e-03 eta: 13:45:00 time: 0.5614 data_time: 0.0241 memory: 13723 grad_norm: 3.8872 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8699 loss: 0.8699 2022/08/09 11:07:59 - mmengine - INFO - Epoch(train) [56][540/1879] lr: 2.0000e-03 eta: 13:44:48 time: 0.5822 data_time: 0.0272 memory: 13723 grad_norm: 3.8093 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8183 loss: 0.8183 2022/08/09 11:08:10 - mmengine - INFO - Epoch(train) [56][560/1879] lr: 2.0000e-03 eta: 13:44:36 time: 0.5700 data_time: 0.0256 memory: 13723 grad_norm: 3.7269 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9493 loss: 0.9493 2022/08/09 11:08:22 - mmengine - INFO - Epoch(train) [56][580/1879] lr: 2.0000e-03 eta: 13:44:24 time: 0.5645 data_time: 0.0227 memory: 13723 grad_norm: 3.8282 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0714 loss: 1.0714 2022/08/09 11:08:33 - mmengine - INFO - Epoch(train) [56][600/1879] lr: 2.0000e-03 eta: 13:44:12 time: 0.5662 data_time: 0.0249 memory: 13723 grad_norm: 3.7068 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8016 loss: 0.8016 2022/08/09 11:08:44 - mmengine - INFO - Epoch(train) [56][620/1879] lr: 2.0000e-03 eta: 13:44:00 time: 0.5669 data_time: 0.0242 memory: 13723 grad_norm: 3.8539 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7204 loss: 0.7204 2022/08/09 11:08:56 - mmengine - INFO - Epoch(train) [56][640/1879] lr: 2.0000e-03 eta: 13:43:48 time: 0.5640 data_time: 0.0231 memory: 13723 grad_norm: 3.8582 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8766 loss: 0.8766 2022/08/09 11:09:04 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 11:09:07 - mmengine - INFO - Epoch(train) [56][660/1879] lr: 2.0000e-03 eta: 13:43:36 time: 0.5740 data_time: 0.0241 memory: 13723 grad_norm: 3.7959 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9648 loss: 0.9648 2022/08/09 11:09:18 - mmengine - INFO - Epoch(train) [56][680/1879] lr: 2.0000e-03 eta: 13:43:23 time: 0.5625 data_time: 0.0234 memory: 13723 grad_norm: 3.8148 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7539 loss: 0.7539 2022/08/09 11:09:30 - mmengine - INFO - Epoch(train) [56][700/1879] lr: 2.0000e-03 eta: 13:43:11 time: 0.5650 data_time: 0.0252 memory: 13723 grad_norm: 3.7355 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7537 loss: 0.7537 2022/08/09 11:09:41 - mmengine - INFO - Epoch(train) [56][720/1879] lr: 2.0000e-03 eta: 13:42:59 time: 0.5693 data_time: 0.0243 memory: 13723 grad_norm: 3.9213 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8532 loss: 0.8532 2022/08/09 11:09:53 - mmengine - INFO - Epoch(train) [56][740/1879] lr: 2.0000e-03 eta: 13:42:47 time: 0.5706 data_time: 0.0251 memory: 13723 grad_norm: 3.8020 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9270 loss: 0.9270 2022/08/09 11:10:04 - mmengine - INFO - Epoch(train) [56][760/1879] lr: 2.0000e-03 eta: 13:42:35 time: 0.5850 data_time: 0.0441 memory: 13723 grad_norm: 3.8683 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8878 loss: 0.8878 2022/08/09 11:10:17 - mmengine - INFO - Epoch(train) [56][780/1879] lr: 2.0000e-03 eta: 13:42:24 time: 0.6316 data_time: 0.0704 memory: 13723 grad_norm: 3.8627 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8128 loss: 0.8128 2022/08/09 11:10:29 - mmengine - INFO - Epoch(train) [56][800/1879] lr: 2.0000e-03 eta: 13:42:13 time: 0.6185 data_time: 0.0265 memory: 13723 grad_norm: 3.8080 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7804 loss: 0.7804 2022/08/09 11:10:41 - mmengine - INFO - Epoch(train) [56][820/1879] lr: 2.0000e-03 eta: 13:42:01 time: 0.5828 data_time: 0.0223 memory: 13723 grad_norm: 3.8825 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7718 loss: 0.7718 2022/08/09 11:10:53 - mmengine - INFO - Epoch(train) [56][840/1879] lr: 2.0000e-03 eta: 13:41:49 time: 0.5897 data_time: 0.0259 memory: 13723 grad_norm: 3.7531 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7926 loss: 0.7926 2022/08/09 11:11:04 - mmengine - INFO - Epoch(train) [56][860/1879] lr: 2.0000e-03 eta: 13:41:37 time: 0.5784 data_time: 0.0219 memory: 13723 grad_norm: 3.9313 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0167 loss: 1.0167 2022/08/09 11:11:16 - mmengine - INFO - Epoch(train) [56][880/1879] lr: 2.0000e-03 eta: 13:41:25 time: 0.5749 data_time: 0.0265 memory: 13723 grad_norm: 3.8376 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9331 loss: 0.9331 2022/08/09 11:11:27 - mmengine - INFO - Epoch(train) [56][900/1879] lr: 2.0000e-03 eta: 13:41:13 time: 0.5692 data_time: 0.0225 memory: 13723 grad_norm: 3.8263 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7678 loss: 0.7678 2022/08/09 11:11:39 - mmengine - INFO - Epoch(train) [56][920/1879] lr: 2.0000e-03 eta: 13:41:01 time: 0.5690 data_time: 0.0240 memory: 13723 grad_norm: 3.7307 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7782 loss: 0.7782 2022/08/09 11:11:50 - mmengine - INFO - Epoch(train) [56][940/1879] lr: 2.0000e-03 eta: 13:40:49 time: 0.5663 data_time: 0.0221 memory: 13723 grad_norm: 3.8167 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7511 loss: 0.7511 2022/08/09 11:12:01 - mmengine - INFO - Epoch(train) [56][960/1879] lr: 2.0000e-03 eta: 13:40:37 time: 0.5658 data_time: 0.0230 memory: 13723 grad_norm: 3.7923 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8120 loss: 0.8120 2022/08/09 11:12:13 - mmengine - INFO - Epoch(train) [56][980/1879] lr: 2.0000e-03 eta: 13:40:25 time: 0.5761 data_time: 0.0221 memory: 13723 grad_norm: 3.6580 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7324 loss: 0.7324 2022/08/09 11:12:24 - mmengine - INFO - Epoch(train) [56][1000/1879] lr: 2.0000e-03 eta: 13:40:13 time: 0.5710 data_time: 0.0277 memory: 13723 grad_norm: 3.9180 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9151 loss: 0.9151 2022/08/09 11:12:36 - mmengine - INFO - Epoch(train) [56][1020/1879] lr: 2.0000e-03 eta: 13:40:01 time: 0.5635 data_time: 0.0244 memory: 13723 grad_norm: 3.8263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8613 loss: 0.8613 2022/08/09 11:12:47 - mmengine - INFO - Epoch(train) [56][1040/1879] lr: 2.0000e-03 eta: 13:39:48 time: 0.5691 data_time: 0.0232 memory: 13723 grad_norm: 3.7601 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8560 loss: 0.8560 2022/08/09 11:12:58 - mmengine - INFO - Epoch(train) [56][1060/1879] lr: 2.0000e-03 eta: 13:39:36 time: 0.5693 data_time: 0.0243 memory: 13723 grad_norm: 3.8616 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8526 loss: 0.8526 2022/08/09 11:13:10 - mmengine - INFO - Epoch(train) [56][1080/1879] lr: 2.0000e-03 eta: 13:39:24 time: 0.5678 data_time: 0.0223 memory: 13723 grad_norm: 3.8758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9055 loss: 0.9055 2022/08/09 11:13:21 - mmengine - INFO - Epoch(train) [56][1100/1879] lr: 2.0000e-03 eta: 13:39:12 time: 0.5663 data_time: 0.0234 memory: 13723 grad_norm: 3.9309 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8298 loss: 0.8298 2022/08/09 11:13:32 - mmengine - INFO - Epoch(train) [56][1120/1879] lr: 2.0000e-03 eta: 13:39:00 time: 0.5662 data_time: 0.0227 memory: 13723 grad_norm: 3.7577 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8199 loss: 0.8199 2022/08/09 11:13:44 - mmengine - INFO - Epoch(train) [56][1140/1879] lr: 2.0000e-03 eta: 13:38:48 time: 0.5740 data_time: 0.0251 memory: 13723 grad_norm: 3.7683 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7496 loss: 0.7496 2022/08/09 11:13:55 - mmengine - INFO - Epoch(train) [56][1160/1879] lr: 2.0000e-03 eta: 13:38:36 time: 0.5628 data_time: 0.0255 memory: 13723 grad_norm: 3.9396 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9419 loss: 0.9419 2022/08/09 11:14:07 - mmengine - INFO - Epoch(train) [56][1180/1879] lr: 2.0000e-03 eta: 13:38:24 time: 0.5656 data_time: 0.0247 memory: 13723 grad_norm: 3.8419 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9467 loss: 0.9467 2022/08/09 11:14:18 - mmengine - INFO - Epoch(train) [56][1200/1879] lr: 2.0000e-03 eta: 13:38:11 time: 0.5705 data_time: 0.0292 memory: 13723 grad_norm: 3.8256 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8417 loss: 0.8417 2022/08/09 11:14:29 - mmengine - INFO - Epoch(train) [56][1220/1879] lr: 2.0000e-03 eta: 13:37:59 time: 0.5671 data_time: 0.0250 memory: 13723 grad_norm: 3.8756 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9075 loss: 0.9075 2022/08/09 11:14:41 - mmengine - INFO - Epoch(train) [56][1240/1879] lr: 2.0000e-03 eta: 13:37:47 time: 0.5626 data_time: 0.0252 memory: 13723 grad_norm: 3.7659 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9306 loss: 0.9306 2022/08/09 11:14:52 - mmengine - INFO - Epoch(train) [56][1260/1879] lr: 2.0000e-03 eta: 13:37:35 time: 0.5726 data_time: 0.0241 memory: 13723 grad_norm: 4.0412 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8646 loss: 0.8646 2022/08/09 11:15:03 - mmengine - INFO - Epoch(train) [56][1280/1879] lr: 2.0000e-03 eta: 13:37:23 time: 0.5670 data_time: 0.0227 memory: 13723 grad_norm: 3.8322 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7668 loss: 0.7668 2022/08/09 11:15:16 - mmengine - INFO - Epoch(train) [56][1300/1879] lr: 2.0000e-03 eta: 13:37:12 time: 0.6255 data_time: 0.0248 memory: 13723 grad_norm: 3.8327 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8465 loss: 0.8465 2022/08/09 11:15:29 - mmengine - INFO - Epoch(train) [56][1320/1879] lr: 2.0000e-03 eta: 13:37:01 time: 0.6497 data_time: 0.0260 memory: 13723 grad_norm: 3.7072 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9315 loss: 0.9315 2022/08/09 11:15:41 - mmengine - INFO - Epoch(train) [56][1340/1879] lr: 2.0000e-03 eta: 13:36:49 time: 0.5871 data_time: 0.0235 memory: 13723 grad_norm: 3.7951 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8018 loss: 0.8018 2022/08/09 11:15:55 - mmengine - INFO - Epoch(train) [56][1360/1879] lr: 2.0000e-03 eta: 13:36:40 time: 0.7248 data_time: 0.0234 memory: 13723 grad_norm: 3.7696 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9245 loss: 0.9245 2022/08/09 11:16:07 - mmengine - INFO - Epoch(train) [56][1380/1879] lr: 2.0000e-03 eta: 13:36:27 time: 0.5682 data_time: 0.0213 memory: 13723 grad_norm: 3.8226 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9309 loss: 0.9309 2022/08/09 11:16:21 - mmengine - INFO - Epoch(train) [56][1400/1879] lr: 2.0000e-03 eta: 13:36:18 time: 0.7163 data_time: 0.0211 memory: 13723 grad_norm: 3.8452 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9422 loss: 0.9422 2022/08/09 11:16:32 - mmengine - INFO - Epoch(train) [56][1420/1879] lr: 2.0000e-03 eta: 13:36:06 time: 0.5708 data_time: 0.0255 memory: 13723 grad_norm: 3.8214 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8156 loss: 0.8156 2022/08/09 11:16:44 - mmengine - INFO - Epoch(train) [56][1440/1879] lr: 2.0000e-03 eta: 13:35:54 time: 0.5730 data_time: 0.0193 memory: 13723 grad_norm: 3.9057 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9080 loss: 0.9080 2022/08/09 11:16:56 - mmengine - INFO - Epoch(train) [56][1460/1879] lr: 2.0000e-03 eta: 13:35:42 time: 0.5949 data_time: 0.0246 memory: 13723 grad_norm: 3.8058 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7279 loss: 0.7279 2022/08/09 11:17:07 - mmengine - INFO - Epoch(train) [56][1480/1879] lr: 2.0000e-03 eta: 13:35:30 time: 0.5743 data_time: 0.0248 memory: 13723 grad_norm: 3.7968 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9258 loss: 0.9258 2022/08/09 11:17:19 - mmengine - INFO - Epoch(train) [56][1500/1879] lr: 2.0000e-03 eta: 13:35:18 time: 0.5816 data_time: 0.0339 memory: 13723 grad_norm: 3.7712 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7765 loss: 0.7765 2022/08/09 11:17:31 - mmengine - INFO - Epoch(train) [56][1520/1879] lr: 2.0000e-03 eta: 13:35:07 time: 0.6296 data_time: 0.0613 memory: 13723 grad_norm: 3.8237 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9204 loss: 0.9204 2022/08/09 11:17:43 - mmengine - INFO - Epoch(train) [56][1540/1879] lr: 2.0000e-03 eta: 13:34:55 time: 0.5769 data_time: 0.0221 memory: 13723 grad_norm: 3.7591 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7751 loss: 0.7751 2022/08/09 11:17:55 - mmengine - INFO - Epoch(train) [56][1560/1879] lr: 2.0000e-03 eta: 13:34:43 time: 0.5759 data_time: 0.0203 memory: 13723 grad_norm: 3.7335 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8882 loss: 0.8882 2022/08/09 11:18:06 - mmengine - INFO - Epoch(train) [56][1580/1879] lr: 2.0000e-03 eta: 13:34:31 time: 0.5828 data_time: 0.0251 memory: 13723 grad_norm: 3.7378 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8695 loss: 0.8695 2022/08/09 11:18:18 - mmengine - INFO - Epoch(train) [56][1600/1879] lr: 2.0000e-03 eta: 13:34:19 time: 0.5791 data_time: 0.0218 memory: 13723 grad_norm: 3.7598 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9813 loss: 0.9813 2022/08/09 11:18:30 - mmengine - INFO - Epoch(train) [56][1620/1879] lr: 2.0000e-03 eta: 13:34:08 time: 0.6323 data_time: 0.0554 memory: 13723 grad_norm: 3.8948 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8679 loss: 0.8679 2022/08/09 11:18:43 - mmengine - INFO - Epoch(train) [56][1640/1879] lr: 2.0000e-03 eta: 13:33:57 time: 0.6494 data_time: 0.0915 memory: 13723 grad_norm: 3.6954 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8762 loss: 0.8762 2022/08/09 11:18:52 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 11:18:55 - mmengine - INFO - Epoch(train) [56][1660/1879] lr: 2.0000e-03 eta: 13:33:45 time: 0.5760 data_time: 0.0226 memory: 13723 grad_norm: 3.8086 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9185 loss: 0.9185 2022/08/09 11:19:07 - mmengine - INFO - Epoch(train) [56][1680/1879] lr: 2.0000e-03 eta: 13:33:33 time: 0.5732 data_time: 0.0220 memory: 13723 grad_norm: 3.8515 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6388 loss: 0.6388 2022/08/09 11:19:18 - mmengine - INFO - Epoch(train) [56][1700/1879] lr: 2.0000e-03 eta: 13:33:21 time: 0.5919 data_time: 0.0217 memory: 13723 grad_norm: 3.8503 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8108 loss: 0.8108 2022/08/09 11:19:30 - mmengine - INFO - Epoch(train) [56][1720/1879] lr: 2.0000e-03 eta: 13:33:10 time: 0.5846 data_time: 0.0261 memory: 13723 grad_norm: 3.9202 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9213 loss: 0.9213 2022/08/09 11:19:42 - mmengine - INFO - Epoch(train) [56][1740/1879] lr: 2.0000e-03 eta: 13:32:58 time: 0.5950 data_time: 0.0223 memory: 13723 grad_norm: 3.9067 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8116 loss: 0.8116 2022/08/09 11:19:53 - mmengine - INFO - Epoch(train) [56][1760/1879] lr: 2.0000e-03 eta: 13:32:46 time: 0.5667 data_time: 0.0222 memory: 13723 grad_norm: 3.8499 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9658 loss: 0.9658 2022/08/09 11:20:05 - mmengine - INFO - Epoch(train) [56][1780/1879] lr: 2.0000e-03 eta: 13:32:34 time: 0.5778 data_time: 0.0266 memory: 13723 grad_norm: 3.8999 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8970 loss: 0.8970 2022/08/09 11:20:17 - mmengine - INFO - Epoch(train) [56][1800/1879] lr: 2.0000e-03 eta: 13:32:22 time: 0.5861 data_time: 0.0375 memory: 13723 grad_norm: 3.7467 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7762 loss: 0.7762 2022/08/09 11:20:29 - mmengine - INFO - Epoch(train) [56][1820/1879] lr: 2.0000e-03 eta: 13:32:11 time: 0.6254 data_time: 0.0283 memory: 13723 grad_norm: 3.8337 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8342 loss: 0.8342 2022/08/09 11:20:41 - mmengine - INFO - Epoch(train) [56][1840/1879] lr: 2.0000e-03 eta: 13:31:59 time: 0.5721 data_time: 0.0244 memory: 13723 grad_norm: 3.8239 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7779 loss: 0.7779 2022/08/09 11:20:52 - mmengine - INFO - Epoch(train) [56][1860/1879] lr: 2.0000e-03 eta: 13:31:47 time: 0.5681 data_time: 0.0239 memory: 13723 grad_norm: 3.9074 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9221 loss: 0.9221 2022/08/09 11:21:02 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 11:21:02 - mmengine - INFO - Epoch(train) [56][1879/1879] lr: 2.0000e-03 eta: 13:31:47 time: 0.5282 data_time: 0.0167 memory: 13723 grad_norm: 3.9006 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8258 loss: 0.8258 2022/08/09 11:21:16 - mmengine - INFO - Epoch(val) [56][20/155] eta: 0:01:33 time: 0.6937 data_time: 0.5539 memory: 1829 2022/08/09 11:21:24 - mmengine - INFO - Epoch(val) [56][40/155] eta: 0:00:49 time: 0.4266 data_time: 0.2872 memory: 1829 2022/08/09 11:21:37 - mmengine - INFO - Epoch(val) [56][60/155] eta: 0:00:58 time: 0.6210 data_time: 0.4789 memory: 1829 2022/08/09 11:21:45 - mmengine - INFO - Epoch(val) [56][80/155] eta: 0:00:31 time: 0.4259 data_time: 0.2853 memory: 1829 2022/08/09 11:21:58 - mmengine - INFO - Epoch(val) [56][100/155] eta: 0:00:35 time: 0.6512 data_time: 0.5125 memory: 1829 2022/08/09 11:22:07 - mmengine - INFO - Epoch(val) [56][120/155] eta: 0:00:14 time: 0.4258 data_time: 0.2856 memory: 1829 2022/08/09 11:22:21 - mmengine - INFO - Epoch(val) [56][140/155] eta: 0:00:10 time: 0.6849 data_time: 0.5461 memory: 1829 2022/08/09 11:22:28 - mmengine - INFO - Epoch(val) [56][155/155] acc/top1: 0.7117 acc/top5: 0.8982 acc/mean1: 0.7115 2022/08/09 11:22:28 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_56.pth is removed 2022/08/09 11:22:30 - mmengine - INFO - The best checkpoint with 0.7117 acc/top1 at 57 epoch is saved to best_acc/top1_epoch_57.pth. 2022/08/09 11:22:46 - mmengine - INFO - Epoch(train) [57][20/1879] lr: 2.0000e-03 eta: 13:31:18 time: 0.7883 data_time: 0.2355 memory: 13723 grad_norm: 3.7404 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0558 loss: 1.0558 2022/08/09 11:22:57 - mmengine - INFO - Epoch(train) [57][40/1879] lr: 2.0000e-03 eta: 13:31:06 time: 0.5767 data_time: 0.0223 memory: 13723 grad_norm: 3.8372 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9833 loss: 0.9833 2022/08/09 11:23:09 - mmengine - INFO - Epoch(train) [57][60/1879] lr: 2.0000e-03 eta: 13:30:54 time: 0.5779 data_time: 0.0241 memory: 13723 grad_norm: 3.8714 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9807 loss: 0.9807 2022/08/09 11:23:20 - mmengine - INFO - Epoch(train) [57][80/1879] lr: 2.0000e-03 eta: 13:30:42 time: 0.5704 data_time: 0.0245 memory: 13723 grad_norm: 3.7747 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8103 loss: 0.8103 2022/08/09 11:23:31 - mmengine - INFO - Epoch(train) [57][100/1879] lr: 2.0000e-03 eta: 13:30:30 time: 0.5707 data_time: 0.0223 memory: 13723 grad_norm: 3.7295 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8724 loss: 0.8724 2022/08/09 11:23:43 - mmengine - INFO - Epoch(train) [57][120/1879] lr: 2.0000e-03 eta: 13:30:18 time: 0.5670 data_time: 0.0237 memory: 13723 grad_norm: 3.8029 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8715 loss: 0.8715 2022/08/09 11:23:54 - mmengine - INFO - Epoch(train) [57][140/1879] lr: 2.0000e-03 eta: 13:30:06 time: 0.5659 data_time: 0.0228 memory: 13723 grad_norm: 3.7015 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8032 loss: 0.8032 2022/08/09 11:24:06 - mmengine - INFO - Epoch(train) [57][160/1879] lr: 2.0000e-03 eta: 13:29:54 time: 0.5664 data_time: 0.0240 memory: 13723 grad_norm: 3.7863 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9727 loss: 0.9727 2022/08/09 11:24:17 - mmengine - INFO - Epoch(train) [57][180/1879] lr: 2.0000e-03 eta: 13:29:41 time: 0.5619 data_time: 0.0217 memory: 13723 grad_norm: 3.8158 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7184 loss: 0.7184 2022/08/09 11:24:28 - mmengine - INFO - Epoch(train) [57][200/1879] lr: 2.0000e-03 eta: 13:29:29 time: 0.5728 data_time: 0.0237 memory: 13723 grad_norm: 3.8975 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9500 loss: 0.9500 2022/08/09 11:24:40 - mmengine - INFO - Epoch(train) [57][220/1879] lr: 2.0000e-03 eta: 13:29:17 time: 0.5656 data_time: 0.0247 memory: 13723 grad_norm: 3.8092 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6761 loss: 0.6761 2022/08/09 11:24:51 - mmengine - INFO - Epoch(train) [57][240/1879] lr: 2.0000e-03 eta: 13:29:05 time: 0.5667 data_time: 0.0242 memory: 13723 grad_norm: 3.7489 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8180 loss: 0.8180 2022/08/09 11:25:02 - mmengine - INFO - Epoch(train) [57][260/1879] lr: 2.0000e-03 eta: 13:28:53 time: 0.5731 data_time: 0.0240 memory: 13723 grad_norm: 3.7070 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8457 loss: 0.8457 2022/08/09 11:25:15 - mmengine - INFO - Epoch(train) [57][280/1879] lr: 2.0000e-03 eta: 13:28:42 time: 0.6319 data_time: 0.0217 memory: 13723 grad_norm: 3.7538 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7545 loss: 0.7545 2022/08/09 11:25:27 - mmengine - INFO - Epoch(train) [57][300/1879] lr: 2.0000e-03 eta: 13:28:30 time: 0.6141 data_time: 0.0266 memory: 13723 grad_norm: 3.9001 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0225 loss: 1.0225 2022/08/09 11:25:40 - mmengine - INFO - Epoch(train) [57][320/1879] lr: 2.0000e-03 eta: 13:28:19 time: 0.6073 data_time: 0.0297 memory: 13723 grad_norm: 3.8152 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7759 loss: 0.7759 2022/08/09 11:25:51 - mmengine - INFO - Epoch(train) [57][340/1879] lr: 2.0000e-03 eta: 13:28:07 time: 0.5863 data_time: 0.0240 memory: 13723 grad_norm: 3.7389 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8381 loss: 0.8381 2022/08/09 11:26:03 - mmengine - INFO - Epoch(train) [57][360/1879] lr: 2.0000e-03 eta: 13:27:55 time: 0.5768 data_time: 0.0244 memory: 13723 grad_norm: 3.7675 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7759 loss: 0.7759 2022/08/09 11:26:14 - mmengine - INFO - Epoch(train) [57][380/1879] lr: 2.0000e-03 eta: 13:27:43 time: 0.5760 data_time: 0.0221 memory: 13723 grad_norm: 3.8520 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8503 loss: 0.8503 2022/08/09 11:26:26 - mmengine - INFO - Epoch(train) [57][400/1879] lr: 2.0000e-03 eta: 13:27:31 time: 0.5684 data_time: 0.0254 memory: 13723 grad_norm: 3.8050 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9070 loss: 0.9070 2022/08/09 11:26:37 - mmengine - INFO - Epoch(train) [57][420/1879] lr: 2.0000e-03 eta: 13:27:19 time: 0.5639 data_time: 0.0254 memory: 13723 grad_norm: 3.8654 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9338 loss: 0.9338 2022/08/09 11:26:48 - mmengine - INFO - Epoch(train) [57][440/1879] lr: 2.0000e-03 eta: 13:27:07 time: 0.5697 data_time: 0.0247 memory: 13723 grad_norm: 3.8588 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8415 loss: 0.8415 2022/08/09 11:27:00 - mmengine - INFO - Epoch(train) [57][460/1879] lr: 2.0000e-03 eta: 13:26:55 time: 0.5679 data_time: 0.0257 memory: 13723 grad_norm: 3.7312 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9131 loss: 0.9131 2022/08/09 11:27:11 - mmengine - INFO - Epoch(train) [57][480/1879] lr: 2.0000e-03 eta: 13:26:43 time: 0.5628 data_time: 0.0238 memory: 13723 grad_norm: 3.7608 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7850 loss: 0.7850 2022/08/09 11:27:22 - mmengine - INFO - Epoch(train) [57][500/1879] lr: 2.0000e-03 eta: 13:26:31 time: 0.5707 data_time: 0.0240 memory: 13723 grad_norm: 3.8771 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9275 loss: 0.9275 2022/08/09 11:27:34 - mmengine - INFO - Epoch(train) [57][520/1879] lr: 2.0000e-03 eta: 13:26:18 time: 0.5670 data_time: 0.0233 memory: 13723 grad_norm: 3.7020 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7783 loss: 0.7783 2022/08/09 11:27:45 - mmengine - INFO - Epoch(train) [57][540/1879] lr: 2.0000e-03 eta: 13:26:06 time: 0.5662 data_time: 0.0229 memory: 13723 grad_norm: 3.7293 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7611 loss: 0.7611 2022/08/09 11:27:57 - mmengine - INFO - Epoch(train) [57][560/1879] lr: 2.0000e-03 eta: 13:25:54 time: 0.5837 data_time: 0.0250 memory: 13723 grad_norm: 3.9773 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8900 loss: 0.8900 2022/08/09 11:28:08 - mmengine - INFO - Epoch(train) [57][580/1879] lr: 2.0000e-03 eta: 13:25:42 time: 0.5734 data_time: 0.0231 memory: 13723 grad_norm: 3.8312 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8170 loss: 0.8170 2022/08/09 11:28:20 - mmengine - INFO - Epoch(train) [57][600/1879] lr: 2.0000e-03 eta: 13:25:30 time: 0.5663 data_time: 0.0245 memory: 13723 grad_norm: 3.7027 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8328 loss: 0.8328 2022/08/09 11:28:31 - mmengine - INFO - Epoch(train) [57][620/1879] lr: 2.0000e-03 eta: 13:25:18 time: 0.5812 data_time: 0.0416 memory: 13723 grad_norm: 3.8664 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7993 loss: 0.7993 2022/08/09 11:28:43 - mmengine - INFO - Epoch(train) [57][640/1879] lr: 2.0000e-03 eta: 13:25:06 time: 0.5613 data_time: 0.0213 memory: 13723 grad_norm: 3.8051 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7076 loss: 0.7076 2022/08/09 11:28:54 - mmengine - INFO - Epoch(train) [57][660/1879] lr: 2.0000e-03 eta: 13:24:54 time: 0.5662 data_time: 0.0251 memory: 13723 grad_norm: 3.8812 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8723 loss: 0.8723 2022/08/09 11:29:05 - mmengine - INFO - Epoch(train) [57][680/1879] lr: 2.0000e-03 eta: 13:24:42 time: 0.5640 data_time: 0.0265 memory: 13723 grad_norm: 3.7761 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8093 loss: 0.8093 2022/08/09 11:29:17 - mmengine - INFO - Epoch(train) [57][700/1879] lr: 2.0000e-03 eta: 13:24:30 time: 0.5732 data_time: 0.0271 memory: 13723 grad_norm: 3.7629 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8506 loss: 0.8506 2022/08/09 11:29:28 - mmengine - INFO - Epoch(train) [57][720/1879] lr: 2.0000e-03 eta: 13:24:18 time: 0.5607 data_time: 0.0243 memory: 13723 grad_norm: 3.7799 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7813 loss: 0.7813 2022/08/09 11:29:39 - mmengine - INFO - Epoch(train) [57][740/1879] lr: 2.0000e-03 eta: 13:24:06 time: 0.5709 data_time: 0.0257 memory: 13723 grad_norm: 3.9343 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8303 loss: 0.8303 2022/08/09 11:29:51 - mmengine - INFO - Epoch(train) [57][760/1879] lr: 2.0000e-03 eta: 13:23:54 time: 0.5672 data_time: 0.0242 memory: 13723 grad_norm: 3.9670 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8489 loss: 0.8489 2022/08/09 11:30:00 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 11:30:02 - mmengine - INFO - Epoch(train) [57][780/1879] lr: 2.0000e-03 eta: 13:23:41 time: 0.5687 data_time: 0.0237 memory: 13723 grad_norm: 3.8556 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9946 loss: 0.9946 2022/08/09 11:30:14 - mmengine - INFO - Epoch(train) [57][800/1879] lr: 2.0000e-03 eta: 13:23:29 time: 0.5753 data_time: 0.0265 memory: 13723 grad_norm: 3.8774 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9721 loss: 0.9721 2022/08/09 11:30:25 - mmengine - INFO - Epoch(train) [57][820/1879] lr: 2.0000e-03 eta: 13:23:17 time: 0.5731 data_time: 0.0268 memory: 13723 grad_norm: 3.8446 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8858 loss: 0.8858 2022/08/09 11:30:37 - mmengine - INFO - Epoch(train) [57][840/1879] lr: 2.0000e-03 eta: 13:23:06 time: 0.5833 data_time: 0.0246 memory: 13723 grad_norm: 3.8754 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8337 loss: 0.8337 2022/08/09 11:30:48 - mmengine - INFO - Epoch(train) [57][860/1879] lr: 2.0000e-03 eta: 13:22:54 time: 0.5805 data_time: 0.0248 memory: 13723 grad_norm: 3.8283 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8572 loss: 0.8572 2022/08/09 11:31:00 - mmengine - INFO - Epoch(train) [57][880/1879] lr: 2.0000e-03 eta: 13:22:42 time: 0.5781 data_time: 0.0220 memory: 13723 grad_norm: 3.8051 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7632 loss: 0.7632 2022/08/09 11:31:12 - mmengine - INFO - Epoch(train) [57][900/1879] lr: 2.0000e-03 eta: 13:22:30 time: 0.5824 data_time: 0.0226 memory: 13723 grad_norm: 3.9305 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8066 loss: 0.8066 2022/08/09 11:31:23 - mmengine - INFO - Epoch(train) [57][920/1879] lr: 2.0000e-03 eta: 13:22:18 time: 0.5627 data_time: 0.0218 memory: 13723 grad_norm: 4.0323 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8859 loss: 0.8859 2022/08/09 11:31:34 - mmengine - INFO - Epoch(train) [57][940/1879] lr: 2.0000e-03 eta: 13:22:06 time: 0.5670 data_time: 0.0257 memory: 13723 grad_norm: 3.7801 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7813 loss: 0.7813 2022/08/09 11:31:46 - mmengine - INFO - Epoch(train) [57][960/1879] lr: 2.0000e-03 eta: 13:21:53 time: 0.5699 data_time: 0.0237 memory: 13723 grad_norm: 3.6388 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8318 loss: 0.8318 2022/08/09 11:31:57 - mmengine - INFO - Epoch(train) [57][980/1879] lr: 2.0000e-03 eta: 13:21:42 time: 0.5885 data_time: 0.0546 memory: 13723 grad_norm: 3.8278 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8673 loss: 0.8673 2022/08/09 11:32:09 - mmengine - INFO - Epoch(train) [57][1000/1879] lr: 2.0000e-03 eta: 13:21:30 time: 0.5681 data_time: 0.0237 memory: 13723 grad_norm: 3.8913 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9079 loss: 0.9079 2022/08/09 11:32:20 - mmengine - INFO - Epoch(train) [57][1020/1879] lr: 2.0000e-03 eta: 13:21:18 time: 0.5673 data_time: 0.0226 memory: 13723 grad_norm: 3.7261 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8851 loss: 0.8851 2022/08/09 11:32:32 - mmengine - INFO - Epoch(train) [57][1040/1879] lr: 2.0000e-03 eta: 13:21:06 time: 0.5814 data_time: 0.0244 memory: 13723 grad_norm: 3.7394 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7635 loss: 0.7635 2022/08/09 11:32:43 - mmengine - INFO - Epoch(train) [57][1060/1879] lr: 2.0000e-03 eta: 13:20:53 time: 0.5640 data_time: 0.0228 memory: 13723 grad_norm: 3.8967 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8668 loss: 0.8668 2022/08/09 11:32:54 - mmengine - INFO - Epoch(train) [57][1080/1879] lr: 2.0000e-03 eta: 13:20:41 time: 0.5684 data_time: 0.0275 memory: 13723 grad_norm: 3.8131 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8982 loss: 0.8982 2022/08/09 11:33:06 - mmengine - INFO - Epoch(train) [57][1100/1879] lr: 2.0000e-03 eta: 13:20:29 time: 0.5681 data_time: 0.0234 memory: 13723 grad_norm: 3.8586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8970 loss: 0.8970 2022/08/09 11:33:17 - mmengine - INFO - Epoch(train) [57][1120/1879] lr: 2.0000e-03 eta: 13:20:17 time: 0.5632 data_time: 0.0234 memory: 13723 grad_norm: 3.8408 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8300 loss: 0.8300 2022/08/09 11:33:28 - mmengine - INFO - Epoch(train) [57][1140/1879] lr: 2.0000e-03 eta: 13:20:05 time: 0.5657 data_time: 0.0227 memory: 13723 grad_norm: 3.8482 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8384 loss: 0.8384 2022/08/09 11:33:40 - mmengine - INFO - Epoch(train) [57][1160/1879] lr: 2.0000e-03 eta: 13:19:53 time: 0.5651 data_time: 0.0240 memory: 13723 grad_norm: 3.7851 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9558 loss: 0.9558 2022/08/09 11:33:51 - mmengine - INFO - Epoch(train) [57][1180/1879] lr: 2.0000e-03 eta: 13:19:41 time: 0.5649 data_time: 0.0254 memory: 13723 grad_norm: 3.7979 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8584 loss: 0.8584 2022/08/09 11:34:03 - mmengine - INFO - Epoch(train) [57][1200/1879] lr: 2.0000e-03 eta: 13:19:29 time: 0.5727 data_time: 0.0225 memory: 13723 grad_norm: 3.8613 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7649 loss: 0.7649 2022/08/09 11:34:14 - mmengine - INFO - Epoch(train) [57][1220/1879] lr: 2.0000e-03 eta: 13:19:17 time: 0.5680 data_time: 0.0237 memory: 13723 grad_norm: 3.8726 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9430 loss: 0.9430 2022/08/09 11:34:25 - mmengine - INFO - Epoch(train) [57][1240/1879] lr: 2.0000e-03 eta: 13:19:04 time: 0.5663 data_time: 0.0242 memory: 13723 grad_norm: 3.7356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8797 loss: 0.8797 2022/08/09 11:34:37 - mmengine - INFO - Epoch(train) [57][1260/1879] lr: 2.0000e-03 eta: 13:18:52 time: 0.5711 data_time: 0.0246 memory: 13723 grad_norm: 3.7624 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8758 loss: 0.8758 2022/08/09 11:34:48 - mmengine - INFO - Epoch(train) [57][1280/1879] lr: 2.0000e-03 eta: 13:18:40 time: 0.5673 data_time: 0.0226 memory: 13723 grad_norm: 3.9823 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9769 loss: 0.9769 2022/08/09 11:34:59 - mmengine - INFO - Epoch(train) [57][1300/1879] lr: 2.0000e-03 eta: 13:18:28 time: 0.5655 data_time: 0.0244 memory: 13723 grad_norm: 3.9710 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8418 loss: 0.8418 2022/08/09 11:35:11 - mmengine - INFO - Epoch(train) [57][1320/1879] lr: 2.0000e-03 eta: 13:18:16 time: 0.5730 data_time: 0.0330 memory: 13723 grad_norm: 3.8693 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9696 loss: 0.9696 2022/08/09 11:35:22 - mmengine - INFO - Epoch(train) [57][1340/1879] lr: 2.0000e-03 eta: 13:18:04 time: 0.5760 data_time: 0.0252 memory: 13723 grad_norm: 3.8383 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9162 loss: 0.9162 2022/08/09 11:35:34 - mmengine - INFO - Epoch(train) [57][1360/1879] lr: 2.0000e-03 eta: 13:17:52 time: 0.5720 data_time: 0.0264 memory: 13723 grad_norm: 3.9232 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8657 loss: 0.8657 2022/08/09 11:35:45 - mmengine - INFO - Epoch(train) [57][1380/1879] lr: 2.0000e-03 eta: 13:17:40 time: 0.5662 data_time: 0.0248 memory: 13723 grad_norm: 3.9506 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9803 loss: 0.9803 2022/08/09 11:35:57 - mmengine - INFO - Epoch(train) [57][1400/1879] lr: 2.0000e-03 eta: 13:17:28 time: 0.5848 data_time: 0.0386 memory: 13723 grad_norm: 3.9076 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9225 loss: 0.9225 2022/08/09 11:36:08 - mmengine - INFO - Epoch(train) [57][1420/1879] lr: 2.0000e-03 eta: 13:17:16 time: 0.5662 data_time: 0.0247 memory: 13723 grad_norm: 3.9701 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8493 loss: 0.8493 2022/08/09 11:36:20 - mmengine - INFO - Epoch(train) [57][1440/1879] lr: 2.0000e-03 eta: 13:17:04 time: 0.5671 data_time: 0.0232 memory: 13723 grad_norm: 3.9753 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9568 loss: 0.9568 2022/08/09 11:36:31 - mmengine - INFO - Epoch(train) [57][1460/1879] lr: 2.0000e-03 eta: 13:16:52 time: 0.5687 data_time: 0.0242 memory: 13723 grad_norm: 3.7969 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8212 loss: 0.8212 2022/08/09 11:36:42 - mmengine - INFO - Epoch(train) [57][1480/1879] lr: 2.0000e-03 eta: 13:16:40 time: 0.5680 data_time: 0.0253 memory: 13723 grad_norm: 3.8703 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9623 loss: 0.9623 2022/08/09 11:36:54 - mmengine - INFO - Epoch(train) [57][1500/1879] lr: 2.0000e-03 eta: 13:16:28 time: 0.5638 data_time: 0.0245 memory: 13723 grad_norm: 3.7171 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7230 loss: 0.7230 2022/08/09 11:37:05 - mmengine - INFO - Epoch(train) [57][1520/1879] lr: 2.0000e-03 eta: 13:16:16 time: 0.5718 data_time: 0.0237 memory: 13723 grad_norm: 3.9390 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8935 loss: 0.8935 2022/08/09 11:37:16 - mmengine - INFO - Epoch(train) [57][1540/1879] lr: 2.0000e-03 eta: 13:16:03 time: 0.5608 data_time: 0.0230 memory: 13723 grad_norm: 3.8774 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9112 loss: 0.9112 2022/08/09 11:37:28 - mmengine - INFO - Epoch(train) [57][1560/1879] lr: 2.0000e-03 eta: 13:15:51 time: 0.5606 data_time: 0.0223 memory: 13723 grad_norm: 3.8642 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8140 loss: 0.8140 2022/08/09 11:37:39 - mmengine - INFO - Epoch(train) [57][1580/1879] lr: 2.0000e-03 eta: 13:15:39 time: 0.5681 data_time: 0.0241 memory: 13723 grad_norm: 3.8420 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8102 loss: 0.8102 2022/08/09 11:37:51 - mmengine - INFO - Epoch(train) [57][1600/1879] lr: 2.0000e-03 eta: 13:15:27 time: 0.5822 data_time: 0.0247 memory: 13723 grad_norm: 3.7699 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9585 loss: 0.9585 2022/08/09 11:38:02 - mmengine - INFO - Epoch(train) [57][1620/1879] lr: 2.0000e-03 eta: 13:15:15 time: 0.5762 data_time: 0.0231 memory: 13723 grad_norm: 3.8181 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9730 loss: 0.9730 2022/08/09 11:38:14 - mmengine - INFO - Epoch(train) [57][1640/1879] lr: 2.0000e-03 eta: 13:15:03 time: 0.5699 data_time: 0.0234 memory: 13723 grad_norm: 3.8319 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9136 loss: 0.9136 2022/08/09 11:38:25 - mmengine - INFO - Epoch(train) [57][1660/1879] lr: 2.0000e-03 eta: 13:14:51 time: 0.5662 data_time: 0.0239 memory: 13723 grad_norm: 3.8701 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7812 loss: 0.7812 2022/08/09 11:38:36 - mmengine - INFO - Epoch(train) [57][1680/1879] lr: 2.0000e-03 eta: 13:14:39 time: 0.5717 data_time: 0.0250 memory: 13723 grad_norm: 3.8564 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.8194 loss: 0.8194 2022/08/09 11:38:48 - mmengine - INFO - Epoch(train) [57][1700/1879] lr: 2.0000e-03 eta: 13:14:27 time: 0.5794 data_time: 0.0250 memory: 13723 grad_norm: 3.9534 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8391 loss: 0.8391 2022/08/09 11:38:59 - mmengine - INFO - Epoch(train) [57][1720/1879] lr: 2.0000e-03 eta: 13:14:15 time: 0.5751 data_time: 0.0225 memory: 13723 grad_norm: 3.7449 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7615 loss: 0.7615 2022/08/09 11:39:11 - mmengine - INFO - Epoch(train) [57][1740/1879] lr: 2.0000e-03 eta: 13:14:03 time: 0.5697 data_time: 0.0270 memory: 13723 grad_norm: 3.8509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7875 loss: 0.7875 2022/08/09 11:39:22 - mmengine - INFO - Epoch(train) [57][1760/1879] lr: 2.0000e-03 eta: 13:13:51 time: 0.5613 data_time: 0.0232 memory: 13723 grad_norm: 3.8829 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8389 loss: 0.8389 2022/08/09 11:39:31 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 11:39:34 - mmengine - INFO - Epoch(train) [57][1780/1879] lr: 2.0000e-03 eta: 13:13:39 time: 0.5719 data_time: 0.0241 memory: 13723 grad_norm: 3.7864 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8608 loss: 0.8608 2022/08/09 11:39:45 - mmengine - INFO - Epoch(train) [57][1800/1879] lr: 2.0000e-03 eta: 13:13:27 time: 0.5647 data_time: 0.0233 memory: 13723 grad_norm: 3.8205 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9294 loss: 0.9294 2022/08/09 11:39:56 - mmengine - INFO - Epoch(train) [57][1820/1879] lr: 2.0000e-03 eta: 13:13:15 time: 0.5662 data_time: 0.0261 memory: 13723 grad_norm: 3.8848 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9219 loss: 0.9219 2022/08/09 11:40:08 - mmengine - INFO - Epoch(train) [57][1840/1879] lr: 2.0000e-03 eta: 13:13:03 time: 0.5661 data_time: 0.0224 memory: 13723 grad_norm: 3.8671 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8405 loss: 0.8405 2022/08/09 11:40:19 - mmengine - INFO - Epoch(train) [57][1860/1879] lr: 2.0000e-03 eta: 13:12:51 time: 0.5902 data_time: 0.0438 memory: 13723 grad_norm: 3.9904 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0063 loss: 1.0063 2022/08/09 11:40:31 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 11:40:31 - mmengine - INFO - Epoch(train) [57][1879/1879] lr: 2.0000e-03 eta: 13:12:51 time: 0.6130 data_time: 0.0246 memory: 13723 grad_norm: 3.9777 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9390 loss: 0.9390 2022/08/09 11:40:31 - mmengine - INFO - Saving checkpoint at 57 epochs 2022/08/09 11:40:48 - mmengine - INFO - Epoch(val) [57][20/155] eta: 0:01:40 time: 0.7440 data_time: 0.6046 memory: 1829 2022/08/09 11:40:58 - mmengine - INFO - Epoch(val) [57][40/155] eta: 0:00:58 time: 0.5074 data_time: 0.3692 memory: 1829 2022/08/09 11:41:08 - mmengine - INFO - Epoch(val) [57][60/155] eta: 0:00:50 time: 0.5309 data_time: 0.3866 memory: 1829 2022/08/09 11:41:21 - mmengine - INFO - Epoch(val) [57][80/155] eta: 0:00:45 time: 0.6076 data_time: 0.4684 memory: 1829 2022/08/09 11:41:30 - mmengine - INFO - Epoch(val) [57][100/155] eta: 0:00:25 time: 0.4657 data_time: 0.3268 memory: 1829 2022/08/09 11:41:42 - mmengine - INFO - Epoch(val) [57][120/155] eta: 0:00:21 time: 0.6022 data_time: 0.4632 memory: 1829 2022/08/09 11:41:53 - mmengine - INFO - Epoch(val) [57][140/155] eta: 0:00:08 time: 0.5375 data_time: 0.3992 memory: 1829 2022/08/09 11:42:00 - mmengine - INFO - Epoch(val) [57][155/155] acc/top1: 0.7113 acc/top5: 0.8972 acc/mean1: 0.7112 2022/08/09 11:42:17 - mmengine - INFO - Epoch(train) [58][20/1879] lr: 2.0000e-03 eta: 13:12:24 time: 0.8732 data_time: 0.2030 memory: 13723 grad_norm: 3.7629 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7694 loss: 0.7694 2022/08/09 11:42:29 - mmengine - INFO - Epoch(train) [58][40/1879] lr: 2.0000e-03 eta: 13:12:12 time: 0.5898 data_time: 0.0234 memory: 13723 grad_norm: 3.8561 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8564 loss: 0.8564 2022/08/09 11:42:41 - mmengine - INFO - Epoch(train) [58][60/1879] lr: 2.0000e-03 eta: 13:12:00 time: 0.5730 data_time: 0.0234 memory: 13723 grad_norm: 3.7483 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7271 loss: 0.7271 2022/08/09 11:42:52 - mmengine - INFO - Epoch(train) [58][80/1879] lr: 2.0000e-03 eta: 13:11:48 time: 0.5638 data_time: 0.0237 memory: 13723 grad_norm: 3.6816 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7560 loss: 0.7560 2022/08/09 11:43:03 - mmengine - INFO - Epoch(train) [58][100/1879] lr: 2.0000e-03 eta: 13:11:36 time: 0.5654 data_time: 0.0248 memory: 13723 grad_norm: 3.8311 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8401 loss: 0.8401 2022/08/09 11:43:15 - mmengine - INFO - Epoch(train) [58][120/1879] lr: 2.0000e-03 eta: 13:11:24 time: 0.5709 data_time: 0.0247 memory: 13723 grad_norm: 3.6689 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7071 loss: 0.7071 2022/08/09 11:43:26 - mmengine - INFO - Epoch(train) [58][140/1879] lr: 2.0000e-03 eta: 13:11:12 time: 0.5658 data_time: 0.0254 memory: 13723 grad_norm: 3.8528 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9396 loss: 0.9396 2022/08/09 11:43:37 - mmengine - INFO - Epoch(train) [58][160/1879] lr: 2.0000e-03 eta: 13:11:00 time: 0.5723 data_time: 0.0243 memory: 13723 grad_norm: 3.8070 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8412 loss: 0.8412 2022/08/09 11:43:49 - mmengine - INFO - Epoch(train) [58][180/1879] lr: 2.0000e-03 eta: 13:10:48 time: 0.5875 data_time: 0.0489 memory: 13723 grad_norm: 3.8503 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7670 loss: 0.7670 2022/08/09 11:44:01 - mmengine - INFO - Epoch(train) [58][200/1879] lr: 2.0000e-03 eta: 13:10:36 time: 0.5684 data_time: 0.0230 memory: 13723 grad_norm: 3.8745 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6921 loss: 0.6921 2022/08/09 11:44:12 - mmengine - INFO - Epoch(train) [58][220/1879] lr: 2.0000e-03 eta: 13:10:24 time: 0.5618 data_time: 0.0222 memory: 13723 grad_norm: 3.7675 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8061 loss: 0.8061 2022/08/09 11:44:23 - mmengine - INFO - Epoch(train) [58][240/1879] lr: 2.0000e-03 eta: 13:10:11 time: 0.5637 data_time: 0.0252 memory: 13723 grad_norm: 3.8707 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8296 loss: 0.8296 2022/08/09 11:44:35 - mmengine - INFO - Epoch(train) [58][260/1879] lr: 2.0000e-03 eta: 13:09:59 time: 0.5672 data_time: 0.0260 memory: 13723 grad_norm: 3.7669 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9509 loss: 0.9509 2022/08/09 11:44:46 - mmengine - INFO - Epoch(train) [58][280/1879] lr: 2.0000e-03 eta: 13:09:47 time: 0.5707 data_time: 0.0262 memory: 13723 grad_norm: 3.7701 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7537 loss: 0.7537 2022/08/09 11:44:57 - mmengine - INFO - Epoch(train) [58][300/1879] lr: 2.0000e-03 eta: 13:09:35 time: 0.5628 data_time: 0.0235 memory: 13723 grad_norm: 3.6899 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8090 loss: 0.8090 2022/08/09 11:45:09 - mmengine - INFO - Epoch(train) [58][320/1879] lr: 2.0000e-03 eta: 13:09:23 time: 0.5711 data_time: 0.0215 memory: 13723 grad_norm: 3.7854 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8028 loss: 0.8028 2022/08/09 11:45:20 - mmengine - INFO - Epoch(train) [58][340/1879] lr: 2.0000e-03 eta: 13:09:11 time: 0.5793 data_time: 0.0274 memory: 13723 grad_norm: 3.9131 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7719 loss: 0.7719 2022/08/09 11:45:32 - mmengine - INFO - Epoch(train) [58][360/1879] lr: 2.0000e-03 eta: 13:08:59 time: 0.5812 data_time: 0.0254 memory: 13723 grad_norm: 3.8238 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7698 loss: 0.7698 2022/08/09 11:45:43 - mmengine - INFO - Epoch(train) [58][380/1879] lr: 2.0000e-03 eta: 13:08:47 time: 0.5802 data_time: 0.0253 memory: 13723 grad_norm: 3.8555 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8605 loss: 0.8605 2022/08/09 11:45:55 - mmengine - INFO - Epoch(train) [58][400/1879] lr: 2.0000e-03 eta: 13:08:35 time: 0.5730 data_time: 0.0248 memory: 13723 grad_norm: 3.8375 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8199 loss: 0.8199 2022/08/09 11:46:06 - mmengine - INFO - Epoch(train) [58][420/1879] lr: 2.0000e-03 eta: 13:08:23 time: 0.5635 data_time: 0.0235 memory: 13723 grad_norm: 3.9159 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8428 loss: 0.8428 2022/08/09 11:46:18 - mmengine - INFO - Epoch(train) [58][440/1879] lr: 2.0000e-03 eta: 13:08:11 time: 0.5902 data_time: 0.0515 memory: 13723 grad_norm: 4.0261 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0826 loss: 1.0826 2022/08/09 11:46:29 - mmengine - INFO - Epoch(train) [58][460/1879] lr: 2.0000e-03 eta: 13:07:59 time: 0.5633 data_time: 0.0240 memory: 13723 grad_norm: 3.8134 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7554 loss: 0.7554 2022/08/09 11:46:41 - mmengine - INFO - Epoch(train) [58][480/1879] lr: 2.0000e-03 eta: 13:07:47 time: 0.5749 data_time: 0.0250 memory: 13723 grad_norm: 3.8670 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8389 loss: 0.8389 2022/08/09 11:46:52 - mmengine - INFO - Epoch(train) [58][500/1879] lr: 2.0000e-03 eta: 13:07:35 time: 0.5678 data_time: 0.0229 memory: 13723 grad_norm: 3.8302 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7651 loss: 0.7651 2022/08/09 11:47:04 - mmengine - INFO - Epoch(train) [58][520/1879] lr: 2.0000e-03 eta: 13:07:23 time: 0.5707 data_time: 0.0258 memory: 13723 grad_norm: 3.7535 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9497 loss: 0.9497 2022/08/09 11:47:15 - mmengine - INFO - Epoch(train) [58][540/1879] lr: 2.0000e-03 eta: 13:07:11 time: 0.5646 data_time: 0.0229 memory: 13723 grad_norm: 3.8179 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.7686 loss: 0.7686 2022/08/09 11:47:26 - mmengine - INFO - Epoch(train) [58][560/1879] lr: 2.0000e-03 eta: 13:06:59 time: 0.5680 data_time: 0.0232 memory: 13723 grad_norm: 3.7448 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8307 loss: 0.8307 2022/08/09 11:47:38 - mmengine - INFO - Epoch(train) [58][580/1879] lr: 2.0000e-03 eta: 13:06:47 time: 0.5647 data_time: 0.0236 memory: 13723 grad_norm: 3.7516 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9166 loss: 0.9166 2022/08/09 11:47:49 - mmengine - INFO - Epoch(train) [58][600/1879] lr: 2.0000e-03 eta: 13:06:35 time: 0.5633 data_time: 0.0232 memory: 13723 grad_norm: 3.8531 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8299 loss: 0.8299 2022/08/09 11:48:01 - mmengine - INFO - Epoch(train) [58][620/1879] lr: 2.0000e-03 eta: 13:06:23 time: 0.5898 data_time: 0.0316 memory: 13723 grad_norm: 3.8340 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7806 loss: 0.7806 2022/08/09 11:48:12 - mmengine - INFO - Epoch(train) [58][640/1879] lr: 2.0000e-03 eta: 13:06:11 time: 0.5667 data_time: 0.0253 memory: 13723 grad_norm: 3.8098 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8342 loss: 0.8342 2022/08/09 11:48:23 - mmengine - INFO - Epoch(train) [58][660/1879] lr: 2.0000e-03 eta: 13:05:59 time: 0.5676 data_time: 0.0247 memory: 13723 grad_norm: 3.8346 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8510 loss: 0.8510 2022/08/09 11:48:35 - mmengine - INFO - Epoch(train) [58][680/1879] lr: 2.0000e-03 eta: 13:05:47 time: 0.5677 data_time: 0.0237 memory: 13723 grad_norm: 3.8231 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8100 loss: 0.8100 2022/08/09 11:48:46 - mmengine - INFO - Epoch(train) [58][700/1879] lr: 2.0000e-03 eta: 13:05:35 time: 0.5636 data_time: 0.0229 memory: 13723 grad_norm: 3.8560 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8133 loss: 0.8133 2022/08/09 11:48:57 - mmengine - INFO - Epoch(train) [58][720/1879] lr: 2.0000e-03 eta: 13:05:23 time: 0.5651 data_time: 0.0256 memory: 13723 grad_norm: 4.0101 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8833 loss: 0.8833 2022/08/09 11:49:09 - mmengine - INFO - Epoch(train) [58][740/1879] lr: 2.0000e-03 eta: 13:05:10 time: 0.5639 data_time: 0.0263 memory: 13723 grad_norm: 3.8755 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9057 loss: 0.9057 2022/08/09 11:49:20 - mmengine - INFO - Epoch(train) [58][760/1879] lr: 2.0000e-03 eta: 13:04:58 time: 0.5736 data_time: 0.0267 memory: 13723 grad_norm: 3.9555 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8573 loss: 0.8573 2022/08/09 11:49:32 - mmengine - INFO - Epoch(train) [58][780/1879] lr: 2.0000e-03 eta: 13:04:46 time: 0.5687 data_time: 0.0234 memory: 13723 grad_norm: 3.8607 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8317 loss: 0.8317 2022/08/09 11:49:43 - mmengine - INFO - Epoch(train) [58][800/1879] lr: 2.0000e-03 eta: 13:04:34 time: 0.5603 data_time: 0.0240 memory: 13723 grad_norm: 3.8382 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7629 loss: 0.7629 2022/08/09 11:49:54 - mmengine - INFO - Epoch(train) [58][820/1879] lr: 2.0000e-03 eta: 13:04:22 time: 0.5684 data_time: 0.0238 memory: 13723 grad_norm: 3.9892 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8693 loss: 0.8693 2022/08/09 11:50:05 - mmengine - INFO - Epoch(train) [58][840/1879] lr: 2.0000e-03 eta: 13:04:10 time: 0.5629 data_time: 0.0230 memory: 13723 grad_norm: 3.8652 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7987 loss: 0.7987 2022/08/09 11:50:19 - mmengine - INFO - Epoch(train) [58][860/1879] lr: 2.0000e-03 eta: 13:04:00 time: 0.6856 data_time: 0.0692 memory: 13723 grad_norm: 3.8043 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7554 loss: 0.7554 2022/08/09 11:50:32 - mmengine - INFO - Epoch(train) [58][880/1879] lr: 2.0000e-03 eta: 13:03:48 time: 0.6182 data_time: 0.0274 memory: 13723 grad_norm: 3.8004 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8478 loss: 0.8478 2022/08/09 11:50:42 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 11:50:44 - mmengine - INFO - Epoch(train) [58][900/1879] lr: 2.0000e-03 eta: 13:03:37 time: 0.6005 data_time: 0.0275 memory: 13723 grad_norm: 3.8242 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9377 loss: 0.9377 2022/08/09 11:50:55 - mmengine - INFO - Epoch(train) [58][920/1879] lr: 2.0000e-03 eta: 13:03:25 time: 0.5856 data_time: 0.0195 memory: 13723 grad_norm: 3.8001 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8227 loss: 0.8227 2022/08/09 11:51:07 - mmengine - INFO - Epoch(train) [58][940/1879] lr: 2.0000e-03 eta: 13:03:13 time: 0.5752 data_time: 0.0238 memory: 13723 grad_norm: 3.8609 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7134 loss: 0.7134 2022/08/09 11:51:18 - mmengine - INFO - Epoch(train) [58][960/1879] lr: 2.0000e-03 eta: 13:03:01 time: 0.5703 data_time: 0.0222 memory: 13723 grad_norm: 3.9544 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8179 loss: 0.8179 2022/08/09 11:51:30 - mmengine - INFO - Epoch(train) [58][980/1879] lr: 2.0000e-03 eta: 13:02:49 time: 0.5641 data_time: 0.0245 memory: 13723 grad_norm: 3.9111 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8445 loss: 0.8445 2022/08/09 11:51:41 - mmengine - INFO - Epoch(train) [58][1000/1879] lr: 2.0000e-03 eta: 13:02:37 time: 0.5702 data_time: 0.0221 memory: 13723 grad_norm: 4.0229 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8392 loss: 0.8392 2022/08/09 11:51:52 - mmengine - INFO - Epoch(train) [58][1020/1879] lr: 2.0000e-03 eta: 13:02:25 time: 0.5701 data_time: 0.0250 memory: 13723 grad_norm: 3.9542 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7109 loss: 0.7109 2022/08/09 11:52:04 - mmengine - INFO - Epoch(train) [58][1040/1879] lr: 2.0000e-03 eta: 13:02:13 time: 0.5641 data_time: 0.0233 memory: 13723 grad_norm: 3.7754 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8028 loss: 0.8028 2022/08/09 11:52:15 - mmengine - INFO - Epoch(train) [58][1060/1879] lr: 2.0000e-03 eta: 13:02:00 time: 0.5648 data_time: 0.0231 memory: 13723 grad_norm: 3.9761 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0166 loss: 1.0166 2022/08/09 11:52:26 - mmengine - INFO - Epoch(train) [58][1080/1879] lr: 2.0000e-03 eta: 13:01:48 time: 0.5702 data_time: 0.0274 memory: 13723 grad_norm: 3.7414 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7656 loss: 0.7656 2022/08/09 11:52:38 - mmengine - INFO - Epoch(train) [58][1100/1879] lr: 2.0000e-03 eta: 13:01:36 time: 0.5703 data_time: 0.0245 memory: 13723 grad_norm: 3.8442 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8602 loss: 0.8602 2022/08/09 11:52:49 - mmengine - INFO - Epoch(train) [58][1120/1879] lr: 2.0000e-03 eta: 13:01:24 time: 0.5715 data_time: 0.0245 memory: 13723 grad_norm: 3.9650 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8603 loss: 0.8603 2022/08/09 11:53:01 - mmengine - INFO - Epoch(train) [58][1140/1879] lr: 2.0000e-03 eta: 13:01:12 time: 0.5662 data_time: 0.0239 memory: 13723 grad_norm: 3.8113 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8265 loss: 0.8265 2022/08/09 11:53:12 - mmengine - INFO - Epoch(train) [58][1160/1879] lr: 2.0000e-03 eta: 13:01:00 time: 0.5661 data_time: 0.0229 memory: 13723 grad_norm: 3.9304 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0003 loss: 1.0003 2022/08/09 11:53:23 - mmengine - INFO - Epoch(train) [58][1180/1879] lr: 2.0000e-03 eta: 13:00:48 time: 0.5682 data_time: 0.0232 memory: 13723 grad_norm: 3.8847 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7390 loss: 0.7390 2022/08/09 11:53:35 - mmengine - INFO - Epoch(train) [58][1200/1879] lr: 2.0000e-03 eta: 13:00:36 time: 0.5687 data_time: 0.0235 memory: 13723 grad_norm: 3.8924 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7374 loss: 0.7374 2022/08/09 11:53:46 - mmengine - INFO - Epoch(train) [58][1220/1879] lr: 2.0000e-03 eta: 13:00:24 time: 0.5732 data_time: 0.0245 memory: 13723 grad_norm: 3.9168 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8199 loss: 0.8199 2022/08/09 11:53:57 - mmengine - INFO - Epoch(train) [58][1240/1879] lr: 2.0000e-03 eta: 13:00:12 time: 0.5635 data_time: 0.0219 memory: 13723 grad_norm: 3.9747 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9003 loss: 0.9003 2022/08/09 11:54:09 - mmengine - INFO - Epoch(train) [58][1260/1879] lr: 2.0000e-03 eta: 13:00:00 time: 0.5720 data_time: 0.0279 memory: 13723 grad_norm: 3.9061 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7757 loss: 0.7757 2022/08/09 11:54:20 - mmengine - INFO - Epoch(train) [58][1280/1879] lr: 2.0000e-03 eta: 12:59:48 time: 0.5616 data_time: 0.0235 memory: 13723 grad_norm: 3.9394 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8658 loss: 0.8658 2022/08/09 11:54:31 - mmengine - INFO - Epoch(train) [58][1300/1879] lr: 2.0000e-03 eta: 12:59:36 time: 0.5640 data_time: 0.0251 memory: 13723 grad_norm: 3.9776 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7196 loss: 0.7196 2022/08/09 11:54:43 - mmengine - INFO - Epoch(train) [58][1320/1879] lr: 2.0000e-03 eta: 12:59:24 time: 0.5702 data_time: 0.0276 memory: 13723 grad_norm: 3.8988 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7454 loss: 0.7454 2022/08/09 11:54:54 - mmengine - INFO - Epoch(train) [58][1340/1879] lr: 2.0000e-03 eta: 12:59:11 time: 0.5621 data_time: 0.0215 memory: 13723 grad_norm: 3.8135 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7879 loss: 0.7879 2022/08/09 11:55:06 - mmengine - INFO - Epoch(train) [58][1360/1879] lr: 2.0000e-03 eta: 12:58:59 time: 0.5700 data_time: 0.0279 memory: 13723 grad_norm: 3.8180 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8113 loss: 0.8113 2022/08/09 11:55:18 - mmengine - INFO - Epoch(train) [58][1380/1879] lr: 2.0000e-03 eta: 12:58:48 time: 0.6126 data_time: 0.0654 memory: 13723 grad_norm: 3.9651 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8387 loss: 0.8387 2022/08/09 11:55:29 - mmengine - INFO - Epoch(train) [58][1400/1879] lr: 2.0000e-03 eta: 12:58:36 time: 0.5638 data_time: 0.0274 memory: 13723 grad_norm: 3.9443 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9103 loss: 0.9103 2022/08/09 11:55:40 - mmengine - INFO - Epoch(train) [58][1420/1879] lr: 2.0000e-03 eta: 12:58:24 time: 0.5634 data_time: 0.0246 memory: 13723 grad_norm: 3.9425 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0126 loss: 1.0126 2022/08/09 11:55:52 - mmengine - INFO - Epoch(train) [58][1440/1879] lr: 2.0000e-03 eta: 12:58:12 time: 0.5706 data_time: 0.0254 memory: 13723 grad_norm: 3.9737 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8712 loss: 0.8712 2022/08/09 11:56:03 - mmengine - INFO - Epoch(train) [58][1460/1879] lr: 2.0000e-03 eta: 12:58:00 time: 0.5691 data_time: 0.0247 memory: 13723 grad_norm: 3.8956 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8212 loss: 0.8212 2022/08/09 11:56:15 - mmengine - INFO - Epoch(train) [58][1480/1879] lr: 2.0000e-03 eta: 12:57:48 time: 0.5707 data_time: 0.0234 memory: 13723 grad_norm: 3.7891 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8738 loss: 0.8738 2022/08/09 11:56:26 - mmengine - INFO - Epoch(train) [58][1500/1879] lr: 2.0000e-03 eta: 12:57:35 time: 0.5645 data_time: 0.0230 memory: 13723 grad_norm: 3.7383 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7200 loss: 0.7200 2022/08/09 11:56:37 - mmengine - INFO - Epoch(train) [58][1520/1879] lr: 2.0000e-03 eta: 12:57:23 time: 0.5705 data_time: 0.0230 memory: 13723 grad_norm: 3.7524 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8110 loss: 0.8110 2022/08/09 11:56:49 - mmengine - INFO - Epoch(train) [58][1540/1879] lr: 2.0000e-03 eta: 12:57:11 time: 0.5656 data_time: 0.0220 memory: 13723 grad_norm: 3.8447 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7922 loss: 0.7922 2022/08/09 11:57:00 - mmengine - INFO - Epoch(train) [58][1560/1879] lr: 2.0000e-03 eta: 12:56:59 time: 0.5658 data_time: 0.0237 memory: 13723 grad_norm: 3.8306 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8342 loss: 0.8342 2022/08/09 11:57:11 - mmengine - INFO - Epoch(train) [58][1580/1879] lr: 2.0000e-03 eta: 12:56:47 time: 0.5648 data_time: 0.0237 memory: 13723 grad_norm: 3.9522 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9029 loss: 0.9029 2022/08/09 11:57:23 - mmengine - INFO - Epoch(train) [58][1600/1879] lr: 2.0000e-03 eta: 12:56:35 time: 0.5670 data_time: 0.0242 memory: 13723 grad_norm: 3.9237 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8612 loss: 0.8612 2022/08/09 11:57:34 - mmengine - INFO - Epoch(train) [58][1620/1879] lr: 2.0000e-03 eta: 12:56:23 time: 0.5694 data_time: 0.0236 memory: 13723 grad_norm: 3.8598 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7690 loss: 0.7690 2022/08/09 11:57:45 - mmengine - INFO - Epoch(train) [58][1640/1879] lr: 2.0000e-03 eta: 12:56:11 time: 0.5649 data_time: 0.0221 memory: 13723 grad_norm: 3.8498 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8273 loss: 0.8273 2022/08/09 11:57:57 - mmengine - INFO - Epoch(train) [58][1660/1879] lr: 2.0000e-03 eta: 12:55:59 time: 0.5860 data_time: 0.0418 memory: 13723 grad_norm: 3.9578 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9655 loss: 0.9655 2022/08/09 11:58:08 - mmengine - INFO - Epoch(train) [58][1680/1879] lr: 2.0000e-03 eta: 12:55:47 time: 0.5652 data_time: 0.0229 memory: 13723 grad_norm: 3.7800 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7963 loss: 0.7963 2022/08/09 11:58:20 - mmengine - INFO - Epoch(train) [58][1700/1879] lr: 2.0000e-03 eta: 12:55:35 time: 0.5737 data_time: 0.0236 memory: 13723 grad_norm: 3.9157 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8261 loss: 0.8261 2022/08/09 11:58:31 - mmengine - INFO - Epoch(train) [58][1720/1879] lr: 2.0000e-03 eta: 12:55:23 time: 0.5654 data_time: 0.0223 memory: 13723 grad_norm: 3.8750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9511 loss: 0.9511 2022/08/09 11:58:43 - mmengine - INFO - Epoch(train) [58][1740/1879] lr: 2.0000e-03 eta: 12:55:11 time: 0.5642 data_time: 0.0261 memory: 13723 grad_norm: 3.8109 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9823 loss: 0.9823 2022/08/09 11:58:54 - mmengine - INFO - Epoch(train) [58][1760/1879] lr: 2.0000e-03 eta: 12:54:59 time: 0.5645 data_time: 0.0269 memory: 13723 grad_norm: 3.7831 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9266 loss: 0.9266 2022/08/09 11:59:05 - mmengine - INFO - Epoch(train) [58][1780/1879] lr: 2.0000e-03 eta: 12:54:47 time: 0.5672 data_time: 0.0237 memory: 13723 grad_norm: 3.8910 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8231 loss: 0.8231 2022/08/09 11:59:17 - mmengine - INFO - Epoch(train) [58][1800/1879] lr: 2.0000e-03 eta: 12:54:35 time: 0.5728 data_time: 0.0243 memory: 13723 grad_norm: 3.8685 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7786 loss: 0.7786 2022/08/09 11:59:28 - mmengine - INFO - Epoch(train) [58][1820/1879] lr: 2.0000e-03 eta: 12:54:22 time: 0.5607 data_time: 0.0229 memory: 13723 grad_norm: 3.9155 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8020 loss: 0.8020 2022/08/09 11:59:39 - mmengine - INFO - Epoch(train) [58][1840/1879] lr: 2.0000e-03 eta: 12:54:10 time: 0.5672 data_time: 0.0255 memory: 13723 grad_norm: 3.9577 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8410 loss: 0.8410 2022/08/09 11:59:51 - mmengine - INFO - Epoch(train) [58][1860/1879] lr: 2.0000e-03 eta: 12:53:58 time: 0.5665 data_time: 0.0233 memory: 13723 grad_norm: 3.9520 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7767 loss: 0.7767 2022/08/09 12:00:01 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 12:00:01 - mmengine - INFO - Epoch(train) [58][1879/1879] lr: 2.0000e-03 eta: 12:53:58 time: 0.5499 data_time: 0.0395 memory: 13723 grad_norm: 3.9574 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8250 loss: 0.8250 2022/08/09 12:00:22 - mmengine - INFO - Epoch(val) [58][20/155] eta: 0:02:21 time: 1.0514 data_time: 0.9114 memory: 1829 2022/08/09 12:00:31 - mmengine - INFO - Epoch(val) [58][40/155] eta: 0:00:51 time: 0.4440 data_time: 0.3039 memory: 1829 2022/08/09 12:00:43 - mmengine - INFO - Epoch(val) [58][60/155] eta: 0:00:57 time: 0.6015 data_time: 0.4619 memory: 1829 2022/08/09 12:00:53 - mmengine - INFO - Epoch(val) [58][80/155] eta: 0:00:37 time: 0.5041 data_time: 0.3642 memory: 1829 2022/08/09 12:01:05 - mmengine - INFO - Epoch(val) [58][100/155] eta: 0:00:33 time: 0.6090 data_time: 0.4678 memory: 1829 2022/08/09 12:01:14 - mmengine - INFO - Epoch(val) [58][120/155] eta: 0:00:14 time: 0.4086 data_time: 0.2688 memory: 1829 2022/08/09 12:01:25 - mmengine - INFO - Epoch(val) [58][140/155] eta: 0:00:08 time: 0.5812 data_time: 0.4421 memory: 1829 2022/08/09 12:01:36 - mmengine - INFO - Epoch(val) [58][155/155] acc/top1: 0.7110 acc/top5: 0.8961 acc/mean1: 0.7108 2022/08/09 12:01:51 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 12:01:52 - mmengine - INFO - Epoch(train) [59][20/1879] lr: 2.0000e-03 eta: 12:53:31 time: 0.8275 data_time: 0.1940 memory: 13723 grad_norm: 3.9937 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7135 loss: 0.7135 2022/08/09 12:02:04 - mmengine - INFO - Epoch(train) [59][40/1879] lr: 2.0000e-03 eta: 12:53:19 time: 0.5727 data_time: 0.0240 memory: 13723 grad_norm: 3.8286 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8157 loss: 0.8157 2022/08/09 12:02:15 - mmengine - INFO - Epoch(train) [59][60/1879] lr: 2.0000e-03 eta: 12:53:07 time: 0.5832 data_time: 0.0260 memory: 13723 grad_norm: 3.8268 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8873 loss: 0.8873 2022/08/09 12:02:27 - mmengine - INFO - Epoch(train) [59][80/1879] lr: 2.0000e-03 eta: 12:52:55 time: 0.5680 data_time: 0.0256 memory: 13723 grad_norm: 3.7854 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8910 loss: 0.8910 2022/08/09 12:02:38 - mmengine - INFO - Epoch(train) [59][100/1879] lr: 2.0000e-03 eta: 12:52:43 time: 0.5630 data_time: 0.0229 memory: 13723 grad_norm: 3.9585 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8497 loss: 0.8497 2022/08/09 12:02:49 - mmengine - INFO - Epoch(train) [59][120/1879] lr: 2.0000e-03 eta: 12:52:31 time: 0.5690 data_time: 0.0239 memory: 13723 grad_norm: 3.9645 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9384 loss: 0.9384 2022/08/09 12:03:01 - mmengine - INFO - Epoch(train) [59][140/1879] lr: 2.0000e-03 eta: 12:52:19 time: 0.5703 data_time: 0.0236 memory: 13723 grad_norm: 3.8234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7833 loss: 0.7833 2022/08/09 12:03:12 - mmengine - INFO - Epoch(train) [59][160/1879] lr: 2.0000e-03 eta: 12:52:07 time: 0.5728 data_time: 0.0241 memory: 13723 grad_norm: 3.7885 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8137 loss: 0.8137 2022/08/09 12:03:24 - mmengine - INFO - Epoch(train) [59][180/1879] lr: 2.0000e-03 eta: 12:51:55 time: 0.5696 data_time: 0.0234 memory: 13723 grad_norm: 3.8582 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7262 loss: 0.7262 2022/08/09 12:03:35 - mmengine - INFO - Epoch(train) [59][200/1879] lr: 2.0000e-03 eta: 12:51:43 time: 0.5782 data_time: 0.0425 memory: 13723 grad_norm: 3.8085 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8200 loss: 0.8200 2022/08/09 12:03:47 - mmengine - INFO - Epoch(train) [59][220/1879] lr: 2.0000e-03 eta: 12:51:31 time: 0.5645 data_time: 0.0235 memory: 13723 grad_norm: 3.9052 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8253 loss: 0.8253 2022/08/09 12:03:58 - mmengine - INFO - Epoch(train) [59][240/1879] lr: 2.0000e-03 eta: 12:51:18 time: 0.5625 data_time: 0.0249 memory: 13723 grad_norm: 3.8234 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8284 loss: 0.8284 2022/08/09 12:04:09 - mmengine - INFO - Epoch(train) [59][260/1879] lr: 2.0000e-03 eta: 12:51:06 time: 0.5676 data_time: 0.0230 memory: 13723 grad_norm: 3.8458 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7304 loss: 0.7304 2022/08/09 12:04:21 - mmengine - INFO - Epoch(train) [59][280/1879] lr: 2.0000e-03 eta: 12:50:54 time: 0.5672 data_time: 0.0247 memory: 13723 grad_norm: 3.8303 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8009 loss: 0.8009 2022/08/09 12:04:32 - mmengine - INFO - Epoch(train) [59][300/1879] lr: 2.0000e-03 eta: 12:50:42 time: 0.5796 data_time: 0.0218 memory: 13723 grad_norm: 3.6782 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8620 loss: 0.8620 2022/08/09 12:04:44 - mmengine - INFO - Epoch(train) [59][320/1879] lr: 2.0000e-03 eta: 12:50:31 time: 0.5815 data_time: 0.0237 memory: 13723 grad_norm: 3.8187 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7262 loss: 0.7262 2022/08/09 12:04:55 - mmengine - INFO - Epoch(train) [59][340/1879] lr: 2.0000e-03 eta: 12:50:19 time: 0.5726 data_time: 0.0235 memory: 13723 grad_norm: 3.9525 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9104 loss: 0.9104 2022/08/09 12:05:06 - mmengine - INFO - Epoch(train) [59][360/1879] lr: 2.0000e-03 eta: 12:50:06 time: 0.5578 data_time: 0.0194 memory: 13723 grad_norm: 3.9811 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7981 loss: 0.7981 2022/08/09 12:05:21 - mmengine - INFO - Epoch(train) [59][380/1879] lr: 2.0000e-03 eta: 12:49:56 time: 0.7068 data_time: 0.0252 memory: 13723 grad_norm: 3.9144 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7553 loss: 0.7553 2022/08/09 12:05:32 - mmengine - INFO - Epoch(train) [59][400/1879] lr: 2.0000e-03 eta: 12:49:44 time: 0.5795 data_time: 0.0290 memory: 13723 grad_norm: 3.8449 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8539 loss: 0.8539 2022/08/09 12:05:44 - mmengine - INFO - Epoch(train) [59][420/1879] lr: 2.0000e-03 eta: 12:49:33 time: 0.5904 data_time: 0.0226 memory: 13723 grad_norm: 3.9092 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8256 loss: 0.8256 2022/08/09 12:05:56 - mmengine - INFO - Epoch(train) [59][440/1879] lr: 2.0000e-03 eta: 12:49:21 time: 0.5844 data_time: 0.0250 memory: 13723 grad_norm: 3.8167 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8414 loss: 0.8414 2022/08/09 12:06:08 - mmengine - INFO - Epoch(train) [59][460/1879] lr: 2.0000e-03 eta: 12:49:09 time: 0.5934 data_time: 0.0409 memory: 13723 grad_norm: 3.8244 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8499 loss: 0.8499 2022/08/09 12:06:19 - mmengine - INFO - Epoch(train) [59][480/1879] lr: 2.0000e-03 eta: 12:48:57 time: 0.5614 data_time: 0.0232 memory: 13723 grad_norm: 3.8772 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8571 loss: 0.8571 2022/08/09 12:06:30 - mmengine - INFO - Epoch(train) [59][500/1879] lr: 2.0000e-03 eta: 12:48:45 time: 0.5652 data_time: 0.0251 memory: 13723 grad_norm: 3.7967 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8519 loss: 0.8519 2022/08/09 12:06:42 - mmengine - INFO - Epoch(train) [59][520/1879] lr: 2.0000e-03 eta: 12:48:33 time: 0.5667 data_time: 0.0231 memory: 13723 grad_norm: 3.8953 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7918 loss: 0.7918 2022/08/09 12:06:53 - mmengine - INFO - Epoch(train) [59][540/1879] lr: 2.0000e-03 eta: 12:48:21 time: 0.5657 data_time: 0.0260 memory: 13723 grad_norm: 3.9023 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8565 loss: 0.8565 2022/08/09 12:07:04 - mmengine - INFO - Epoch(train) [59][560/1879] lr: 2.0000e-03 eta: 12:48:09 time: 0.5699 data_time: 0.0253 memory: 13723 grad_norm: 3.8614 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7778 loss: 0.7778 2022/08/09 12:07:16 - mmengine - INFO - Epoch(train) [59][580/1879] lr: 2.0000e-03 eta: 12:47:57 time: 0.5667 data_time: 0.0237 memory: 13723 grad_norm: 3.8508 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8109 loss: 0.8109 2022/08/09 12:07:27 - mmengine - INFO - Epoch(train) [59][600/1879] lr: 2.0000e-03 eta: 12:47:45 time: 0.5609 data_time: 0.0236 memory: 13723 grad_norm: 3.8536 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8287 loss: 0.8287 2022/08/09 12:07:38 - mmengine - INFO - Epoch(train) [59][620/1879] lr: 2.0000e-03 eta: 12:47:33 time: 0.5691 data_time: 0.0245 memory: 13723 grad_norm: 3.9442 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9096 loss: 0.9096 2022/08/09 12:07:50 - mmengine - INFO - Epoch(train) [59][640/1879] lr: 2.0000e-03 eta: 12:47:20 time: 0.5686 data_time: 0.0238 memory: 13723 grad_norm: 3.8789 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9014 loss: 0.9014 2022/08/09 12:08:01 - mmengine - INFO - Epoch(train) [59][660/1879] lr: 2.0000e-03 eta: 12:47:09 time: 0.5817 data_time: 0.0379 memory: 13723 grad_norm: 3.8827 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.7776 loss: 0.7776 2022/08/09 12:08:13 - mmengine - INFO - Epoch(train) [59][680/1879] lr: 2.0000e-03 eta: 12:46:57 time: 0.5676 data_time: 0.0237 memory: 13723 grad_norm: 3.9779 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8509 loss: 0.8509 2022/08/09 12:08:24 - mmengine - INFO - Epoch(train) [59][700/1879] lr: 2.0000e-03 eta: 12:46:45 time: 0.5695 data_time: 0.0251 memory: 13723 grad_norm: 3.8399 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8518 loss: 0.8518 2022/08/09 12:08:35 - mmengine - INFO - Epoch(train) [59][720/1879] lr: 2.0000e-03 eta: 12:46:32 time: 0.5666 data_time: 0.0249 memory: 13723 grad_norm: 3.9646 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7465 loss: 0.7465 2022/08/09 12:08:47 - mmengine - INFO - Epoch(train) [59][740/1879] lr: 2.0000e-03 eta: 12:46:21 time: 0.5736 data_time: 0.0257 memory: 13723 grad_norm: 3.8477 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6661 loss: 0.6661 2022/08/09 12:08:58 - mmengine - INFO - Epoch(train) [59][760/1879] lr: 2.0000e-03 eta: 12:46:08 time: 0.5666 data_time: 0.0237 memory: 13723 grad_norm: 3.9964 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8378 loss: 0.8378 2022/08/09 12:09:10 - mmengine - INFO - Epoch(train) [59][780/1879] lr: 2.0000e-03 eta: 12:45:56 time: 0.5688 data_time: 0.0247 memory: 13723 grad_norm: 3.9082 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6290 loss: 0.6290 2022/08/09 12:09:21 - mmengine - INFO - Epoch(train) [59][800/1879] lr: 2.0000e-03 eta: 12:45:44 time: 0.5645 data_time: 0.0238 memory: 13723 grad_norm: 3.9702 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7308 loss: 0.7308 2022/08/09 12:09:32 - mmengine - INFO - Epoch(train) [59][820/1879] lr: 2.0000e-03 eta: 12:45:32 time: 0.5690 data_time: 0.0252 memory: 13723 grad_norm: 3.8620 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7396 loss: 0.7396 2022/08/09 12:09:44 - mmengine - INFO - Epoch(train) [59][840/1879] lr: 2.0000e-03 eta: 12:45:20 time: 0.5757 data_time: 0.0220 memory: 13723 grad_norm: 3.7543 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9104 loss: 0.9104 2022/08/09 12:09:55 - mmengine - INFO - Epoch(train) [59][860/1879] lr: 2.0000e-03 eta: 12:45:08 time: 0.5787 data_time: 0.0366 memory: 13723 grad_norm: 3.9469 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9469 loss: 0.9469 2022/08/09 12:10:07 - mmengine - INFO - Epoch(train) [59][880/1879] lr: 2.0000e-03 eta: 12:44:56 time: 0.5583 data_time: 0.0234 memory: 13723 grad_norm: 3.9372 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7833 loss: 0.7833 2022/08/09 12:10:19 - mmengine - INFO - Epoch(train) [59][900/1879] lr: 2.0000e-03 eta: 12:44:45 time: 0.6007 data_time: 0.0247 memory: 13723 grad_norm: 3.7433 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9594 loss: 0.9594 2022/08/09 12:10:31 - mmengine - INFO - Epoch(train) [59][920/1879] lr: 2.0000e-03 eta: 12:44:34 time: 0.6377 data_time: 0.0294 memory: 13723 grad_norm: 3.7876 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7025 loss: 0.7025 2022/08/09 12:10:43 - mmengine - INFO - Epoch(train) [59][940/1879] lr: 2.0000e-03 eta: 12:44:22 time: 0.5970 data_time: 0.0267 memory: 13723 grad_norm: 4.0335 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8018 loss: 0.8018 2022/08/09 12:10:56 - mmengine - INFO - Epoch(train) [59][960/1879] lr: 2.0000e-03 eta: 12:44:11 time: 0.6144 data_time: 0.0248 memory: 13723 grad_norm: 3.8884 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8495 loss: 0.8495 2022/08/09 12:11:07 - mmengine - INFO - Epoch(train) [59][980/1879] lr: 2.0000e-03 eta: 12:43:59 time: 0.5731 data_time: 0.0221 memory: 13723 grad_norm: 3.8861 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8234 loss: 0.8234 2022/08/09 12:11:18 - mmengine - INFO - Epoch(train) [59][1000/1879] lr: 2.0000e-03 eta: 12:43:47 time: 0.5669 data_time: 0.0233 memory: 13723 grad_norm: 3.9241 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8611 loss: 0.8611 2022/08/09 12:11:29 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 12:11:30 - mmengine - INFO - Epoch(train) [59][1020/1879] lr: 2.0000e-03 eta: 12:43:34 time: 0.5614 data_time: 0.0231 memory: 13723 grad_norm: 3.8931 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6715 loss: 0.6715 2022/08/09 12:11:41 - mmengine - INFO - Epoch(train) [59][1040/1879] lr: 2.0000e-03 eta: 12:43:22 time: 0.5653 data_time: 0.0239 memory: 13723 grad_norm: 3.9364 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8250 loss: 0.8250 2022/08/09 12:11:52 - mmengine - INFO - Epoch(train) [59][1060/1879] lr: 2.0000e-03 eta: 12:43:10 time: 0.5656 data_time: 0.0236 memory: 13723 grad_norm: 3.8584 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8000 loss: 0.8000 2022/08/09 12:12:04 - mmengine - INFO - Epoch(train) [59][1080/1879] lr: 2.0000e-03 eta: 12:42:58 time: 0.5669 data_time: 0.0243 memory: 13723 grad_norm: 3.9221 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8706 loss: 0.8706 2022/08/09 12:12:15 - mmengine - INFO - Epoch(train) [59][1100/1879] lr: 2.0000e-03 eta: 12:42:46 time: 0.5632 data_time: 0.0241 memory: 13723 grad_norm: 3.9097 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8449 loss: 0.8449 2022/08/09 12:12:26 - mmengine - INFO - Epoch(train) [59][1120/1879] lr: 2.0000e-03 eta: 12:42:34 time: 0.5678 data_time: 0.0255 memory: 13723 grad_norm: 3.7411 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9177 loss: 0.9177 2022/08/09 12:12:38 - mmengine - INFO - Epoch(train) [59][1140/1879] lr: 2.0000e-03 eta: 12:42:22 time: 0.5664 data_time: 0.0243 memory: 13723 grad_norm: 3.8610 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9234 loss: 0.9234 2022/08/09 12:12:49 - mmengine - INFO - Epoch(train) [59][1160/1879] lr: 2.0000e-03 eta: 12:42:10 time: 0.5698 data_time: 0.0238 memory: 13723 grad_norm: 4.0341 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9497 loss: 0.9497 2022/08/09 12:13:00 - mmengine - INFO - Epoch(train) [59][1180/1879] lr: 2.0000e-03 eta: 12:41:58 time: 0.5678 data_time: 0.0250 memory: 13723 grad_norm: 3.9120 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7468 loss: 0.7468 2022/08/09 12:13:12 - mmengine - INFO - Epoch(train) [59][1200/1879] lr: 2.0000e-03 eta: 12:41:46 time: 0.5605 data_time: 0.0230 memory: 13723 grad_norm: 4.0112 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9181 loss: 0.9181 2022/08/09 12:13:23 - mmengine - INFO - Epoch(train) [59][1220/1879] lr: 2.0000e-03 eta: 12:41:34 time: 0.5657 data_time: 0.0230 memory: 13723 grad_norm: 3.9794 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8547 loss: 0.8547 2022/08/09 12:13:34 - mmengine - INFO - Epoch(train) [59][1240/1879] lr: 2.0000e-03 eta: 12:41:22 time: 0.5675 data_time: 0.0246 memory: 13723 grad_norm: 3.8992 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7498 loss: 0.7498 2022/08/09 12:13:46 - mmengine - INFO - Epoch(train) [59][1260/1879] lr: 2.0000e-03 eta: 12:41:09 time: 0.5662 data_time: 0.0239 memory: 13723 grad_norm: 3.8727 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7501 loss: 0.7501 2022/08/09 12:13:57 - mmengine - INFO - Epoch(train) [59][1280/1879] lr: 2.0000e-03 eta: 12:40:57 time: 0.5629 data_time: 0.0234 memory: 13723 grad_norm: 3.8964 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8729 loss: 0.8729 2022/08/09 12:14:08 - mmengine - INFO - Epoch(train) [59][1300/1879] lr: 2.0000e-03 eta: 12:40:45 time: 0.5694 data_time: 0.0238 memory: 13723 grad_norm: 3.9658 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9425 loss: 0.9425 2022/08/09 12:14:20 - mmengine - INFO - Epoch(train) [59][1320/1879] lr: 2.0000e-03 eta: 12:40:33 time: 0.5606 data_time: 0.0250 memory: 13723 grad_norm: 3.7997 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8188 loss: 0.8188 2022/08/09 12:14:31 - mmengine - INFO - Epoch(train) [59][1340/1879] lr: 2.0000e-03 eta: 12:40:21 time: 0.5702 data_time: 0.0277 memory: 13723 grad_norm: 3.9889 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7790 loss: 0.7790 2022/08/09 12:14:42 - mmengine - INFO - Epoch(train) [59][1360/1879] lr: 2.0000e-03 eta: 12:40:09 time: 0.5629 data_time: 0.0235 memory: 13723 grad_norm: 3.8702 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8116 loss: 0.8116 2022/08/09 12:14:54 - mmengine - INFO - Epoch(train) [59][1380/1879] lr: 2.0000e-03 eta: 12:39:57 time: 0.5651 data_time: 0.0229 memory: 13723 grad_norm: 3.9252 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7849 loss: 0.7849 2022/08/09 12:15:05 - mmengine - INFO - Epoch(train) [59][1400/1879] lr: 2.0000e-03 eta: 12:39:45 time: 0.5564 data_time: 0.0223 memory: 13723 grad_norm: 3.9734 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8162 loss: 0.8162 2022/08/09 12:15:19 - mmengine - INFO - Epoch(train) [59][1420/1879] lr: 2.0000e-03 eta: 12:39:35 time: 0.7211 data_time: 0.0226 memory: 13723 grad_norm: 3.8980 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8808 loss: 0.8808 2022/08/09 12:15:31 - mmengine - INFO - Epoch(train) [59][1440/1879] lr: 2.0000e-03 eta: 12:39:23 time: 0.6102 data_time: 0.0263 memory: 13723 grad_norm: 4.0192 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8925 loss: 0.8925 2022/08/09 12:15:44 - mmengine - INFO - Epoch(train) [59][1460/1879] lr: 2.0000e-03 eta: 12:39:12 time: 0.6245 data_time: 0.0283 memory: 13723 grad_norm: 3.9111 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8075 loss: 0.8075 2022/08/09 12:15:56 - mmengine - INFO - Epoch(train) [59][1480/1879] lr: 2.0000e-03 eta: 12:39:00 time: 0.5810 data_time: 0.0245 memory: 13723 grad_norm: 3.8684 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8637 loss: 0.8637 2022/08/09 12:16:07 - mmengine - INFO - Epoch(train) [59][1500/1879] lr: 2.0000e-03 eta: 12:38:48 time: 0.5740 data_time: 0.0234 memory: 13723 grad_norm: 3.9390 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7588 loss: 0.7588 2022/08/09 12:16:18 - mmengine - INFO - Epoch(train) [59][1520/1879] lr: 2.0000e-03 eta: 12:38:36 time: 0.5610 data_time: 0.0230 memory: 13723 grad_norm: 3.9251 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8394 loss: 0.8394 2022/08/09 12:16:30 - mmengine - INFO - Epoch(train) [59][1540/1879] lr: 2.0000e-03 eta: 12:38:24 time: 0.5633 data_time: 0.0244 memory: 13723 grad_norm: 3.9774 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7718 loss: 0.7718 2022/08/09 12:16:41 - mmengine - INFO - Epoch(train) [59][1560/1879] lr: 2.0000e-03 eta: 12:38:12 time: 0.5704 data_time: 0.0223 memory: 13723 grad_norm: 3.8280 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7634 loss: 0.7634 2022/08/09 12:16:52 - mmengine - INFO - Epoch(train) [59][1580/1879] lr: 2.0000e-03 eta: 12:38:00 time: 0.5706 data_time: 0.0236 memory: 13723 grad_norm: 3.9230 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7463 loss: 0.7463 2022/08/09 12:17:04 - mmengine - INFO - Epoch(train) [59][1600/1879] lr: 2.0000e-03 eta: 12:37:48 time: 0.5641 data_time: 0.0243 memory: 13723 grad_norm: 3.9926 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9001 loss: 0.9001 2022/08/09 12:17:15 - mmengine - INFO - Epoch(train) [59][1620/1879] lr: 2.0000e-03 eta: 12:37:36 time: 0.5666 data_time: 0.0230 memory: 13723 grad_norm: 4.0167 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9167 loss: 0.9167 2022/08/09 12:17:26 - mmengine - INFO - Epoch(train) [59][1640/1879] lr: 2.0000e-03 eta: 12:37:24 time: 0.5703 data_time: 0.0277 memory: 13723 grad_norm: 3.8382 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8888 loss: 0.8888 2022/08/09 12:17:38 - mmengine - INFO - Epoch(train) [59][1660/1879] lr: 2.0000e-03 eta: 12:37:12 time: 0.5663 data_time: 0.0225 memory: 13723 grad_norm: 3.9492 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8324 loss: 0.8324 2022/08/09 12:17:49 - mmengine - INFO - Epoch(train) [59][1680/1879] lr: 2.0000e-03 eta: 12:37:00 time: 0.5604 data_time: 0.0224 memory: 13723 grad_norm: 3.8570 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8946 loss: 0.8946 2022/08/09 12:18:01 - mmengine - INFO - Epoch(train) [59][1700/1879] lr: 2.0000e-03 eta: 12:36:48 time: 0.5912 data_time: 0.0230 memory: 13723 grad_norm: 3.9173 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7472 loss: 0.7472 2022/08/09 12:18:12 - mmengine - INFO - Epoch(train) [59][1720/1879] lr: 2.0000e-03 eta: 12:36:36 time: 0.5637 data_time: 0.0230 memory: 13723 grad_norm: 3.8726 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8543 loss: 0.8543 2022/08/09 12:18:24 - mmengine - INFO - Epoch(train) [59][1740/1879] lr: 2.0000e-03 eta: 12:36:24 time: 0.5693 data_time: 0.0236 memory: 13723 grad_norm: 3.9263 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8903 loss: 0.8903 2022/08/09 12:18:35 - mmengine - INFO - Epoch(train) [59][1760/1879] lr: 2.0000e-03 eta: 12:36:12 time: 0.5715 data_time: 0.0253 memory: 13723 grad_norm: 3.9384 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8785 loss: 0.8785 2022/08/09 12:18:46 - mmengine - INFO - Epoch(train) [59][1780/1879] lr: 2.0000e-03 eta: 12:36:00 time: 0.5600 data_time: 0.0221 memory: 13723 grad_norm: 3.9342 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8439 loss: 0.8439 2022/08/09 12:18:58 - mmengine - INFO - Epoch(train) [59][1800/1879] lr: 2.0000e-03 eta: 12:35:48 time: 0.5678 data_time: 0.0251 memory: 13723 grad_norm: 3.9301 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9357 loss: 0.9357 2022/08/09 12:19:09 - mmengine - INFO - Epoch(train) [59][1820/1879] lr: 2.0000e-03 eta: 12:35:36 time: 0.5749 data_time: 0.0237 memory: 13723 grad_norm: 3.9385 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9368 loss: 0.9368 2022/08/09 12:19:20 - mmengine - INFO - Epoch(train) [59][1840/1879] lr: 2.0000e-03 eta: 12:35:24 time: 0.5601 data_time: 0.0230 memory: 13723 grad_norm: 4.0545 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8791 loss: 0.8791 2022/08/09 12:19:32 - mmengine - INFO - Epoch(train) [59][1860/1879] lr: 2.0000e-03 eta: 12:35:12 time: 0.5652 data_time: 0.0247 memory: 13723 grad_norm: 3.9653 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7210 loss: 0.7210 2022/08/09 12:19:42 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 12:19:42 - mmengine - INFO - Epoch(train) [59][1879/1879] lr: 2.0000e-03 eta: 12:35:12 time: 0.5326 data_time: 0.0191 memory: 13723 grad_norm: 4.0864 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9247 loss: 0.9247 2022/08/09 12:19:55 - mmengine - INFO - Epoch(val) [59][20/155] eta: 0:01:28 time: 0.6575 data_time: 0.5166 memory: 1829 2022/08/09 12:20:10 - mmengine - INFO - Epoch(val) [59][40/155] eta: 0:01:28 time: 0.7677 data_time: 0.6280 memory: 1829 2022/08/09 12:20:24 - mmengine - INFO - Epoch(val) [59][60/155] eta: 0:01:03 time: 0.6694 data_time: 0.5272 memory: 1829 2022/08/09 12:20:33 - mmengine - INFO - Epoch(val) [59][80/155] eta: 0:00:35 time: 0.4714 data_time: 0.3297 memory: 1829 2022/08/09 12:20:46 - mmengine - INFO - Epoch(val) [59][100/155] eta: 0:00:34 time: 0.6239 data_time: 0.4839 memory: 1829 2022/08/09 12:20:56 - mmengine - INFO - Epoch(val) [59][120/155] eta: 0:00:17 time: 0.5067 data_time: 0.3672 memory: 1829 2022/08/09 12:21:09 - mmengine - INFO - Epoch(val) [59][140/155] eta: 0:00:09 time: 0.6645 data_time: 0.5250 memory: 1829 2022/08/09 12:21:17 - mmengine - INFO - Epoch(val) [59][155/155] acc/top1: 0.7121 acc/top5: 0.8975 acc/mean1: 0.7120 2022/08/09 12:21:17 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_57.pth is removed 2022/08/09 12:21:19 - mmengine - INFO - The best checkpoint with 0.7121 acc/top1 at 60 epoch is saved to best_acc/top1_epoch_60.pth. 2022/08/09 12:21:35 - mmengine - INFO - Epoch(train) [60][20/1879] lr: 2.0000e-03 eta: 12:34:44 time: 0.7984 data_time: 0.2336 memory: 13723 grad_norm: 4.0332 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8732 loss: 0.8732 2022/08/09 12:21:46 - mmengine - INFO - Epoch(train) [60][40/1879] lr: 2.0000e-03 eta: 12:34:32 time: 0.5720 data_time: 0.0234 memory: 13723 grad_norm: 3.8352 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9156 loss: 0.9156 2022/08/09 12:21:58 - mmengine - INFO - Epoch(train) [60][60/1879] lr: 2.0000e-03 eta: 12:34:20 time: 0.5761 data_time: 0.0277 memory: 13723 grad_norm: 4.0237 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8678 loss: 0.8678 2022/08/09 12:22:09 - mmengine - INFO - Epoch(train) [60][80/1879] lr: 2.0000e-03 eta: 12:34:08 time: 0.5661 data_time: 0.0256 memory: 13723 grad_norm: 3.8934 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8834 loss: 0.8834 2022/08/09 12:22:20 - mmengine - INFO - Epoch(train) [60][100/1879] lr: 2.0000e-03 eta: 12:33:56 time: 0.5697 data_time: 0.0231 memory: 13723 grad_norm: 3.9506 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8084 loss: 0.8084 2022/08/09 12:22:32 - mmengine - INFO - Epoch(train) [60][120/1879] lr: 2.0000e-03 eta: 12:33:44 time: 0.5635 data_time: 0.0225 memory: 13723 grad_norm: 3.6707 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.7763 loss: 0.7763 2022/08/09 12:22:43 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 12:22:43 - mmengine - INFO - Epoch(train) [60][140/1879] lr: 2.0000e-03 eta: 12:33:32 time: 0.5672 data_time: 0.0243 memory: 13723 grad_norm: 3.9530 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7536 loss: 0.7536 2022/08/09 12:22:54 - mmengine - INFO - Epoch(train) [60][160/1879] lr: 2.0000e-03 eta: 12:33:20 time: 0.5656 data_time: 0.0247 memory: 13723 grad_norm: 3.9091 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7366 loss: 0.7366 2022/08/09 12:23:06 - mmengine - INFO - Epoch(train) [60][180/1879] lr: 2.0000e-03 eta: 12:33:07 time: 0.5654 data_time: 0.0255 memory: 13723 grad_norm: 3.9478 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8013 loss: 0.8013 2022/08/09 12:23:17 - mmengine - INFO - Epoch(train) [60][200/1879] lr: 2.0000e-03 eta: 12:32:55 time: 0.5636 data_time: 0.0250 memory: 13723 grad_norm: 3.8199 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8021 loss: 0.8021 2022/08/09 12:23:29 - mmengine - INFO - Epoch(train) [60][220/1879] lr: 2.0000e-03 eta: 12:32:44 time: 0.5904 data_time: 0.0517 memory: 13723 grad_norm: 3.9506 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6997 loss: 0.6997 2022/08/09 12:23:40 - mmengine - INFO - Epoch(train) [60][240/1879] lr: 2.0000e-03 eta: 12:32:32 time: 0.5632 data_time: 0.0237 memory: 13723 grad_norm: 3.8652 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8886 loss: 0.8886 2022/08/09 12:23:52 - mmengine - INFO - Epoch(train) [60][260/1879] lr: 2.0000e-03 eta: 12:32:20 time: 0.5688 data_time: 0.0230 memory: 13723 grad_norm: 3.8838 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8301 loss: 0.8301 2022/08/09 12:24:03 - mmengine - INFO - Epoch(train) [60][280/1879] lr: 2.0000e-03 eta: 12:32:08 time: 0.5701 data_time: 0.0250 memory: 13723 grad_norm: 3.8110 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6775 loss: 0.6775 2022/08/09 12:24:14 - mmengine - INFO - Epoch(train) [60][300/1879] lr: 2.0000e-03 eta: 12:31:55 time: 0.5659 data_time: 0.0238 memory: 13723 grad_norm: 3.9626 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9211 loss: 0.9211 2022/08/09 12:24:26 - mmengine - INFO - Epoch(train) [60][320/1879] lr: 2.0000e-03 eta: 12:31:43 time: 0.5668 data_time: 0.0245 memory: 13723 grad_norm: 3.9598 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7458 loss: 0.7458 2022/08/09 12:24:37 - mmengine - INFO - Epoch(train) [60][340/1879] lr: 2.0000e-03 eta: 12:31:31 time: 0.5654 data_time: 0.0239 memory: 13723 grad_norm: 3.9298 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8102 loss: 0.8102 2022/08/09 12:24:48 - mmengine - INFO - Epoch(train) [60][360/1879] lr: 2.0000e-03 eta: 12:31:19 time: 0.5671 data_time: 0.0238 memory: 13723 grad_norm: 3.9904 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9389 loss: 0.9389 2022/08/09 12:25:00 - mmengine - INFO - Epoch(train) [60][380/1879] lr: 2.0000e-03 eta: 12:31:07 time: 0.5732 data_time: 0.0241 memory: 13723 grad_norm: 3.9050 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8748 loss: 0.8748 2022/08/09 12:25:11 - mmengine - INFO - Epoch(train) [60][400/1879] lr: 2.0000e-03 eta: 12:30:56 time: 0.5818 data_time: 0.0207 memory: 13723 grad_norm: 3.7381 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8582 loss: 0.8582 2022/08/09 12:25:24 - mmengine - INFO - Epoch(train) [60][420/1879] lr: 2.0000e-03 eta: 12:30:45 time: 0.6427 data_time: 0.0262 memory: 13723 grad_norm: 3.9720 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7752 loss: 0.7752 2022/08/09 12:25:36 - mmengine - INFO - Epoch(train) [60][440/1879] lr: 2.0000e-03 eta: 12:30:33 time: 0.5970 data_time: 0.0288 memory: 13723 grad_norm: 3.8757 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8415 loss: 0.8415 2022/08/09 12:25:48 - mmengine - INFO - Epoch(train) [60][460/1879] lr: 2.0000e-03 eta: 12:30:21 time: 0.5889 data_time: 0.0262 memory: 13723 grad_norm: 4.0572 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7969 loss: 0.7969 2022/08/09 12:26:00 - mmengine - INFO - Epoch(train) [60][480/1879] lr: 2.0000e-03 eta: 12:30:09 time: 0.5803 data_time: 0.0238 memory: 13723 grad_norm: 3.9193 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0146 loss: 1.0146 2022/08/09 12:26:11 - mmengine - INFO - Epoch(train) [60][500/1879] lr: 2.0000e-03 eta: 12:29:57 time: 0.5688 data_time: 0.0223 memory: 13723 grad_norm: 3.8394 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8168 loss: 0.8168 2022/08/09 12:26:22 - mmengine - INFO - Epoch(train) [60][520/1879] lr: 2.0000e-03 eta: 12:29:45 time: 0.5634 data_time: 0.0231 memory: 13723 grad_norm: 3.9200 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8795 loss: 0.8795 2022/08/09 12:26:34 - mmengine - INFO - Epoch(train) [60][540/1879] lr: 2.0000e-03 eta: 12:29:33 time: 0.5620 data_time: 0.0235 memory: 13723 grad_norm: 3.8620 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7538 loss: 0.7538 2022/08/09 12:26:45 - mmengine - INFO - Epoch(train) [60][560/1879] lr: 2.0000e-03 eta: 12:29:21 time: 0.5836 data_time: 0.0233 memory: 13723 grad_norm: 3.9314 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7771 loss: 0.7771 2022/08/09 12:26:57 - mmengine - INFO - Epoch(train) [60][580/1879] lr: 2.0000e-03 eta: 12:29:09 time: 0.5675 data_time: 0.0252 memory: 13723 grad_norm: 3.8746 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8331 loss: 0.8331 2022/08/09 12:27:08 - mmengine - INFO - Epoch(train) [60][600/1879] lr: 2.0000e-03 eta: 12:28:57 time: 0.5661 data_time: 0.0232 memory: 13723 grad_norm: 3.7240 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6456 loss: 0.6456 2022/08/09 12:27:19 - mmengine - INFO - Epoch(train) [60][620/1879] lr: 2.0000e-03 eta: 12:28:45 time: 0.5628 data_time: 0.0233 memory: 13723 grad_norm: 3.8596 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9336 loss: 0.9336 2022/08/09 12:27:31 - mmengine - INFO - Epoch(train) [60][640/1879] lr: 2.0000e-03 eta: 12:28:33 time: 0.5661 data_time: 0.0252 memory: 13723 grad_norm: 4.0265 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8689 loss: 0.8689 2022/08/09 12:27:42 - mmengine - INFO - Epoch(train) [60][660/1879] lr: 2.0000e-03 eta: 12:28:21 time: 0.5681 data_time: 0.0228 memory: 13723 grad_norm: 4.0467 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6256 loss: 0.6256 2022/08/09 12:27:54 - mmengine - INFO - Epoch(train) [60][680/1879] lr: 2.0000e-03 eta: 12:28:09 time: 0.5875 data_time: 0.0232 memory: 13723 grad_norm: 3.9357 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8568 loss: 0.8568 2022/08/09 12:28:05 - mmengine - INFO - Epoch(train) [60][700/1879] lr: 2.0000e-03 eta: 12:27:57 time: 0.5673 data_time: 0.0263 memory: 13723 grad_norm: 3.8843 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.7078 loss: 0.7078 2022/08/09 12:28:17 - mmengine - INFO - Epoch(train) [60][720/1879] lr: 2.0000e-03 eta: 12:27:45 time: 0.5697 data_time: 0.0268 memory: 13723 grad_norm: 3.8691 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8203 loss: 0.8203 2022/08/09 12:28:28 - mmengine - INFO - Epoch(train) [60][740/1879] lr: 2.0000e-03 eta: 12:27:33 time: 0.5683 data_time: 0.0234 memory: 13723 grad_norm: 3.8559 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7292 loss: 0.7292 2022/08/09 12:28:39 - mmengine - INFO - Epoch(train) [60][760/1879] lr: 2.0000e-03 eta: 12:27:21 time: 0.5664 data_time: 0.0233 memory: 13723 grad_norm: 4.0491 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8566 loss: 0.8566 2022/08/09 12:28:51 - mmengine - INFO - Epoch(train) [60][780/1879] lr: 2.0000e-03 eta: 12:27:09 time: 0.5730 data_time: 0.0236 memory: 13723 grad_norm: 4.0227 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8325 loss: 0.8325 2022/08/09 12:29:02 - mmengine - INFO - Epoch(train) [60][800/1879] lr: 2.0000e-03 eta: 12:26:57 time: 0.5678 data_time: 0.0248 memory: 13723 grad_norm: 4.0141 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6769 loss: 0.6769 2022/08/09 12:29:13 - mmengine - INFO - Epoch(train) [60][820/1879] lr: 2.0000e-03 eta: 12:26:45 time: 0.5645 data_time: 0.0255 memory: 13723 grad_norm: 3.8316 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8006 loss: 0.8006 2022/08/09 12:29:25 - mmengine - INFO - Epoch(train) [60][840/1879] lr: 2.0000e-03 eta: 12:26:33 time: 0.5691 data_time: 0.0274 memory: 13723 grad_norm: 4.0363 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7492 loss: 0.7492 2022/08/09 12:29:36 - mmengine - INFO - Epoch(train) [60][860/1879] lr: 2.0000e-03 eta: 12:26:21 time: 0.5659 data_time: 0.0249 memory: 13723 grad_norm: 3.9390 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7404 loss: 0.7404 2022/08/09 12:29:47 - mmengine - INFO - Epoch(train) [60][880/1879] lr: 2.0000e-03 eta: 12:26:09 time: 0.5618 data_time: 0.0237 memory: 13723 grad_norm: 3.9421 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8087 loss: 0.8087 2022/08/09 12:29:59 - mmengine - INFO - Epoch(train) [60][900/1879] lr: 2.0000e-03 eta: 12:25:57 time: 0.5702 data_time: 0.0252 memory: 13723 grad_norm: 3.9986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8567 loss: 0.8567 2022/08/09 12:30:12 - mmengine - INFO - Epoch(train) [60][920/1879] lr: 2.0000e-03 eta: 12:25:46 time: 0.6421 data_time: 0.0201 memory: 13723 grad_norm: 3.8280 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8356 loss: 0.8356 2022/08/09 12:30:24 - mmengine - INFO - Epoch(train) [60][940/1879] lr: 2.0000e-03 eta: 12:25:35 time: 0.6350 data_time: 0.0302 memory: 13723 grad_norm: 3.9935 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8531 loss: 0.8531 2022/08/09 12:30:36 - mmengine - INFO - Epoch(train) [60][960/1879] lr: 2.0000e-03 eta: 12:25:23 time: 0.5849 data_time: 0.0262 memory: 13723 grad_norm: 4.0726 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8288 loss: 0.8288 2022/08/09 12:30:48 - mmengine - INFO - Epoch(train) [60][980/1879] lr: 2.0000e-03 eta: 12:25:11 time: 0.5879 data_time: 0.0265 memory: 13723 grad_norm: 3.9537 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8212 loss: 0.8212 2022/08/09 12:30:59 - mmengine - INFO - Epoch(train) [60][1000/1879] lr: 2.0000e-03 eta: 12:24:59 time: 0.5811 data_time: 0.0259 memory: 13723 grad_norm: 4.0619 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8034 loss: 0.8034 2022/08/09 12:31:11 - mmengine - INFO - Epoch(train) [60][1020/1879] lr: 2.0000e-03 eta: 12:24:47 time: 0.5792 data_time: 0.0253 memory: 13723 grad_norm: 3.9902 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8320 loss: 0.8320 2022/08/09 12:31:23 - mmengine - INFO - Epoch(train) [60][1040/1879] lr: 2.0000e-03 eta: 12:24:36 time: 0.5819 data_time: 0.0227 memory: 13723 grad_norm: 3.9655 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8725 loss: 0.8725 2022/08/09 12:31:34 - mmengine - INFO - Epoch(train) [60][1060/1879] lr: 2.0000e-03 eta: 12:24:24 time: 0.5652 data_time: 0.0241 memory: 13723 grad_norm: 3.9355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7702 loss: 0.7702 2022/08/09 12:31:46 - mmengine - INFO - Epoch(train) [60][1080/1879] lr: 2.0000e-03 eta: 12:24:12 time: 0.5722 data_time: 0.0233 memory: 13723 grad_norm: 3.9309 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7538 loss: 0.7538 2022/08/09 12:31:57 - mmengine - INFO - Epoch(train) [60][1100/1879] lr: 2.0000e-03 eta: 12:23:59 time: 0.5660 data_time: 0.0255 memory: 13723 grad_norm: 3.8550 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6754 loss: 0.6754 2022/08/09 12:32:08 - mmengine - INFO - Epoch(train) [60][1120/1879] lr: 2.0000e-03 eta: 12:23:47 time: 0.5664 data_time: 0.0234 memory: 13723 grad_norm: 3.9435 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8147 loss: 0.8147 2022/08/09 12:32:19 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 12:32:20 - mmengine - INFO - Epoch(train) [60][1140/1879] lr: 2.0000e-03 eta: 12:23:35 time: 0.5673 data_time: 0.0235 memory: 13723 grad_norm: 3.9814 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9317 loss: 0.9317 2022/08/09 12:32:31 - mmengine - INFO - Epoch(train) [60][1160/1879] lr: 2.0000e-03 eta: 12:23:23 time: 0.5616 data_time: 0.0230 memory: 13723 grad_norm: 3.9653 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9384 loss: 0.9384 2022/08/09 12:32:42 - mmengine - INFO - Epoch(train) [60][1180/1879] lr: 2.0000e-03 eta: 12:23:11 time: 0.5638 data_time: 0.0245 memory: 13723 grad_norm: 3.9216 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9140 loss: 0.9140 2022/08/09 12:32:53 - mmengine - INFO - Epoch(train) [60][1200/1879] lr: 2.0000e-03 eta: 12:22:59 time: 0.5628 data_time: 0.0232 memory: 13723 grad_norm: 4.0017 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7852 loss: 0.7852 2022/08/09 12:33:05 - mmengine - INFO - Epoch(train) [60][1220/1879] lr: 2.0000e-03 eta: 12:22:47 time: 0.5606 data_time: 0.0233 memory: 13723 grad_norm: 4.1665 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8914 loss: 0.8914 2022/08/09 12:33:16 - mmengine - INFO - Epoch(train) [60][1240/1879] lr: 2.0000e-03 eta: 12:22:35 time: 0.5655 data_time: 0.0257 memory: 13723 grad_norm: 4.0765 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9160 loss: 0.9160 2022/08/09 12:33:27 - mmengine - INFO - Epoch(train) [60][1260/1879] lr: 2.0000e-03 eta: 12:22:23 time: 0.5642 data_time: 0.0245 memory: 13723 grad_norm: 3.9063 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7599 loss: 0.7599 2022/08/09 12:33:39 - mmengine - INFO - Epoch(train) [60][1280/1879] lr: 2.0000e-03 eta: 12:22:11 time: 0.5665 data_time: 0.0229 memory: 13723 grad_norm: 3.9087 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8856 loss: 0.8856 2022/08/09 12:33:50 - mmengine - INFO - Epoch(train) [60][1300/1879] lr: 2.0000e-03 eta: 12:21:59 time: 0.5635 data_time: 0.0238 memory: 13723 grad_norm: 3.9731 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9502 loss: 0.9502 2022/08/09 12:34:01 - mmengine - INFO - Epoch(train) [60][1320/1879] lr: 2.0000e-03 eta: 12:21:47 time: 0.5777 data_time: 0.0420 memory: 13723 grad_norm: 3.9084 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9730 loss: 0.9730 2022/08/09 12:34:13 - mmengine - INFO - Epoch(train) [60][1340/1879] lr: 2.0000e-03 eta: 12:21:35 time: 0.5642 data_time: 0.0240 memory: 13723 grad_norm: 3.7803 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8154 loss: 0.8154 2022/08/09 12:34:24 - mmengine - INFO - Epoch(train) [60][1360/1879] lr: 2.0000e-03 eta: 12:21:23 time: 0.5628 data_time: 0.0228 memory: 13723 grad_norm: 3.9942 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7287 loss: 0.7287 2022/08/09 12:34:35 - mmengine - INFO - Epoch(train) [60][1380/1879] lr: 2.0000e-03 eta: 12:21:11 time: 0.5626 data_time: 0.0257 memory: 13723 grad_norm: 3.9815 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7328 loss: 0.7328 2022/08/09 12:34:47 - mmengine - INFO - Epoch(train) [60][1400/1879] lr: 2.0000e-03 eta: 12:20:59 time: 0.5669 data_time: 0.0238 memory: 13723 grad_norm: 3.8522 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8166 loss: 0.8166 2022/08/09 12:34:58 - mmengine - INFO - Epoch(train) [60][1420/1879] lr: 2.0000e-03 eta: 12:20:46 time: 0.5641 data_time: 0.0225 memory: 13723 grad_norm: 4.1415 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8672 loss: 0.8672 2022/08/09 12:35:10 - mmengine - INFO - Epoch(train) [60][1440/1879] lr: 2.0000e-03 eta: 12:20:35 time: 0.5827 data_time: 0.0274 memory: 13723 grad_norm: 3.9332 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7212 loss: 0.7212 2022/08/09 12:35:21 - mmengine - INFO - Epoch(train) [60][1460/1879] lr: 2.0000e-03 eta: 12:20:23 time: 0.5733 data_time: 0.0259 memory: 13723 grad_norm: 3.8884 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9539 loss: 0.9539 2022/08/09 12:35:33 - mmengine - INFO - Epoch(train) [60][1480/1879] lr: 2.0000e-03 eta: 12:20:11 time: 0.6116 data_time: 0.0247 memory: 13723 grad_norm: 3.8990 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9215 loss: 0.9215 2022/08/09 12:35:45 - mmengine - INFO - Epoch(train) [60][1500/1879] lr: 2.0000e-03 eta: 12:19:59 time: 0.5695 data_time: 0.0233 memory: 13723 grad_norm: 4.0416 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8155 loss: 0.8155 2022/08/09 12:35:56 - mmengine - INFO - Epoch(train) [60][1520/1879] lr: 2.0000e-03 eta: 12:19:47 time: 0.5795 data_time: 0.0420 memory: 13723 grad_norm: 3.9160 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7047 loss: 0.7047 2022/08/09 12:36:08 - mmengine - INFO - Epoch(train) [60][1540/1879] lr: 2.0000e-03 eta: 12:19:35 time: 0.5619 data_time: 0.0238 memory: 13723 grad_norm: 3.9704 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8242 loss: 0.8242 2022/08/09 12:36:19 - mmengine - INFO - Epoch(train) [60][1560/1879] lr: 2.0000e-03 eta: 12:19:23 time: 0.5617 data_time: 0.0230 memory: 13723 grad_norm: 3.9840 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8028 loss: 0.8028 2022/08/09 12:36:30 - mmengine - INFO - Epoch(train) [60][1580/1879] lr: 2.0000e-03 eta: 12:19:11 time: 0.5614 data_time: 0.0232 memory: 13723 grad_norm: 3.8808 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7665 loss: 0.7665 2022/08/09 12:36:41 - mmengine - INFO - Epoch(train) [60][1600/1879] lr: 2.0000e-03 eta: 12:18:59 time: 0.5650 data_time: 0.0251 memory: 13723 grad_norm: 4.0135 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8383 loss: 0.8383 2022/08/09 12:36:53 - mmengine - INFO - Epoch(train) [60][1620/1879] lr: 2.0000e-03 eta: 12:18:47 time: 0.5663 data_time: 0.0250 memory: 13723 grad_norm: 4.0132 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9024 loss: 0.9024 2022/08/09 12:37:04 - mmengine - INFO - Epoch(train) [60][1640/1879] lr: 2.0000e-03 eta: 12:18:35 time: 0.5637 data_time: 0.0249 memory: 13723 grad_norm: 3.9336 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8673 loss: 0.8673 2022/08/09 12:37:15 - mmengine - INFO - Epoch(train) [60][1660/1879] lr: 2.0000e-03 eta: 12:18:23 time: 0.5668 data_time: 0.0254 memory: 13723 grad_norm: 4.0755 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8245 loss: 0.8245 2022/08/09 12:37:27 - mmengine - INFO - Epoch(train) [60][1680/1879] lr: 2.0000e-03 eta: 12:18:11 time: 0.5701 data_time: 0.0250 memory: 13723 grad_norm: 3.8909 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8041 loss: 0.8041 2022/08/09 12:37:38 - mmengine - INFO - Epoch(train) [60][1700/1879] lr: 2.0000e-03 eta: 12:17:59 time: 0.5674 data_time: 0.0264 memory: 13723 grad_norm: 4.0633 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7593 loss: 0.7593 2022/08/09 12:37:49 - mmengine - INFO - Epoch(train) [60][1720/1879] lr: 2.0000e-03 eta: 12:17:47 time: 0.5642 data_time: 0.0236 memory: 13723 grad_norm: 4.0615 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7379 loss: 0.7379 2022/08/09 12:38:01 - mmengine - INFO - Epoch(train) [60][1740/1879] lr: 2.0000e-03 eta: 12:17:35 time: 0.5898 data_time: 0.0479 memory: 13723 grad_norm: 4.0260 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8524 loss: 0.8524 2022/08/09 12:38:13 - mmengine - INFO - Epoch(train) [60][1760/1879] lr: 2.0000e-03 eta: 12:17:23 time: 0.5653 data_time: 0.0257 memory: 13723 grad_norm: 3.9638 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8386 loss: 0.8386 2022/08/09 12:38:24 - mmengine - INFO - Epoch(train) [60][1780/1879] lr: 2.0000e-03 eta: 12:17:11 time: 0.5700 data_time: 0.0241 memory: 13723 grad_norm: 4.0930 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9679 loss: 0.9679 2022/08/09 12:38:36 - mmengine - INFO - Epoch(train) [60][1800/1879] lr: 2.0000e-03 eta: 12:16:59 time: 0.5800 data_time: 0.0235 memory: 13723 grad_norm: 3.9483 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7578 loss: 0.7578 2022/08/09 12:38:47 - mmengine - INFO - Epoch(train) [60][1820/1879] lr: 2.0000e-03 eta: 12:16:47 time: 0.5717 data_time: 0.0262 memory: 13723 grad_norm: 3.9870 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9498 loss: 0.9498 2022/08/09 12:38:58 - mmengine - INFO - Epoch(train) [60][1840/1879] lr: 2.0000e-03 eta: 12:16:35 time: 0.5646 data_time: 0.0249 memory: 13723 grad_norm: 3.9265 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9489 loss: 0.9489 2022/08/09 12:39:10 - mmengine - INFO - Epoch(train) [60][1860/1879] lr: 2.0000e-03 eta: 12:16:23 time: 0.5645 data_time: 0.0242 memory: 13723 grad_norm: 3.8506 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7461 loss: 0.7461 2022/08/09 12:39:20 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 12:39:20 - mmengine - INFO - Epoch(train) [60][1879/1879] lr: 2.0000e-03 eta: 12:16:23 time: 0.5315 data_time: 0.0173 memory: 13723 grad_norm: 4.0727 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.8969 loss: 0.8969 2022/08/09 12:39:20 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/08/09 12:39:35 - mmengine - INFO - Epoch(val) [60][20/155] eta: 0:01:29 time: 0.6608 data_time: 0.5206 memory: 1829 2022/08/09 12:39:43 - mmengine - INFO - Epoch(val) [60][40/155] eta: 0:00:49 time: 0.4291 data_time: 0.2823 memory: 1829 2022/08/09 12:39:56 - mmengine - INFO - Epoch(val) [60][60/155] eta: 0:00:58 time: 0.6181 data_time: 0.4677 memory: 1829 2022/08/09 12:40:05 - mmengine - INFO - Epoch(val) [60][80/155] eta: 0:00:34 time: 0.4580 data_time: 0.3188 memory: 1829 2022/08/09 12:40:18 - mmengine - INFO - Epoch(val) [60][100/155] eta: 0:00:35 time: 0.6376 data_time: 0.4952 memory: 1829 2022/08/09 12:40:28 - mmengine - INFO - Epoch(val) [60][120/155] eta: 0:00:18 time: 0.5330 data_time: 0.3933 memory: 1829 2022/08/09 12:40:42 - mmengine - INFO - Epoch(val) [60][140/155] eta: 0:00:09 time: 0.6592 data_time: 0.5196 memory: 1829 2022/08/09 12:40:49 - mmengine - INFO - Epoch(val) [60][155/155] acc/top1: 0.7104 acc/top5: 0.8988 acc/mean1: 0.7103 2022/08/09 12:41:05 - mmengine - INFO - Epoch(train) [61][20/1879] lr: 2.0000e-03 eta: 12:15:56 time: 0.8027 data_time: 0.2050 memory: 13723 grad_norm: 3.8877 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0550 loss: 1.0550 2022/08/09 12:41:17 - mmengine - INFO - Epoch(train) [61][40/1879] lr: 2.0000e-03 eta: 12:15:44 time: 0.6119 data_time: 0.0238 memory: 13723 grad_norm: 3.9335 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8990 loss: 0.8990 2022/08/09 12:41:29 - mmengine - INFO - Epoch(train) [61][60/1879] lr: 2.0000e-03 eta: 12:15:32 time: 0.5772 data_time: 0.0228 memory: 13723 grad_norm: 3.9448 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8718 loss: 0.8718 2022/08/09 12:41:40 - mmengine - INFO - Epoch(train) [61][80/1879] lr: 2.0000e-03 eta: 12:15:20 time: 0.5662 data_time: 0.0239 memory: 13723 grad_norm: 3.9210 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7674 loss: 0.7674 2022/08/09 12:41:51 - mmengine - INFO - Epoch(train) [61][100/1879] lr: 2.0000e-03 eta: 12:15:08 time: 0.5648 data_time: 0.0224 memory: 13723 grad_norm: 3.8326 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7077 loss: 0.7077 2022/08/09 12:42:03 - mmengine - INFO - Epoch(train) [61][120/1879] lr: 2.0000e-03 eta: 12:14:56 time: 0.5709 data_time: 0.0231 memory: 13723 grad_norm: 4.0430 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7210 loss: 0.7210 2022/08/09 12:42:14 - mmengine - INFO - Epoch(train) [61][140/1879] lr: 2.0000e-03 eta: 12:14:44 time: 0.5617 data_time: 0.0232 memory: 13723 grad_norm: 3.7391 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8340 loss: 0.8340 2022/08/09 12:42:25 - mmengine - INFO - Epoch(train) [61][160/1879] lr: 2.0000e-03 eta: 12:14:32 time: 0.5655 data_time: 0.0253 memory: 13723 grad_norm: 3.8801 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7109 loss: 0.7109 2022/08/09 12:42:37 - mmengine - INFO - Epoch(train) [61][180/1879] lr: 2.0000e-03 eta: 12:14:20 time: 0.5727 data_time: 0.0250 memory: 13723 grad_norm: 3.9350 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8118 loss: 0.8118 2022/08/09 12:42:48 - mmengine - INFO - Epoch(train) [61][200/1879] lr: 2.0000e-03 eta: 12:14:08 time: 0.5639 data_time: 0.0233 memory: 13723 grad_norm: 3.9372 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8450 loss: 0.8450 2022/08/09 12:42:59 - mmengine - INFO - Epoch(train) [61][220/1879] lr: 2.0000e-03 eta: 12:13:56 time: 0.5653 data_time: 0.0242 memory: 13723 grad_norm: 3.9658 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8447 loss: 0.8447 2022/08/09 12:43:11 - mmengine - INFO - Epoch(train) [61][240/1879] lr: 2.0000e-03 eta: 12:13:44 time: 0.5879 data_time: 0.0244 memory: 13723 grad_norm: 3.9276 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8993 loss: 0.8993 2022/08/09 12:43:22 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 12:43:22 - mmengine - INFO - Epoch(train) [61][260/1879] lr: 2.0000e-03 eta: 12:13:32 time: 0.5571 data_time: 0.0231 memory: 13723 grad_norm: 4.0372 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7725 loss: 0.7725 2022/08/09 12:43:34 - mmengine - INFO - Epoch(train) [61][280/1879] lr: 2.0000e-03 eta: 12:13:20 time: 0.5689 data_time: 0.0246 memory: 13723 grad_norm: 3.9849 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7872 loss: 0.7872 2022/08/09 12:43:45 - mmengine - INFO - Epoch(train) [61][300/1879] lr: 2.0000e-03 eta: 12:13:08 time: 0.5615 data_time: 0.0232 memory: 13723 grad_norm: 3.8472 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6696 loss: 0.6696 2022/08/09 12:43:59 - mmengine - INFO - Epoch(train) [61][320/1879] lr: 2.0000e-03 eta: 12:12:57 time: 0.6854 data_time: 0.0231 memory: 13723 grad_norm: 3.9698 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8127 loss: 0.8127 2022/08/09 12:44:11 - mmengine - INFO - Epoch(train) [61][340/1879] lr: 2.0000e-03 eta: 12:12:46 time: 0.5895 data_time: 0.0544 memory: 13723 grad_norm: 3.9533 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7221 loss: 0.7221 2022/08/09 12:44:22 - mmengine - INFO - Epoch(train) [61][360/1879] lr: 2.0000e-03 eta: 12:12:34 time: 0.5630 data_time: 0.0226 memory: 13723 grad_norm: 4.1498 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9933 loss: 0.9933 2022/08/09 12:44:33 - mmengine - INFO - Epoch(train) [61][380/1879] lr: 2.0000e-03 eta: 12:12:22 time: 0.5604 data_time: 0.0260 memory: 13723 grad_norm: 3.7800 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7857 loss: 0.7857 2022/08/09 12:44:44 - mmengine - INFO - Epoch(train) [61][400/1879] lr: 2.0000e-03 eta: 12:12:10 time: 0.5654 data_time: 0.0234 memory: 13723 grad_norm: 3.9497 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6813 loss: 0.6813 2022/08/09 12:44:56 - mmengine - INFO - Epoch(train) [61][420/1879] lr: 2.0000e-03 eta: 12:11:57 time: 0.5669 data_time: 0.0251 memory: 13723 grad_norm: 3.8463 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6814 loss: 0.6814 2022/08/09 12:45:07 - mmengine - INFO - Epoch(train) [61][440/1879] lr: 2.0000e-03 eta: 12:11:45 time: 0.5667 data_time: 0.0282 memory: 13723 grad_norm: 3.8367 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8448 loss: 0.8448 2022/08/09 12:45:19 - mmengine - INFO - Epoch(train) [61][460/1879] lr: 2.0000e-03 eta: 12:11:34 time: 0.5755 data_time: 0.0275 memory: 13723 grad_norm: 4.0155 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7784 loss: 0.7784 2022/08/09 12:45:30 - mmengine - INFO - Epoch(train) [61][480/1879] lr: 2.0000e-03 eta: 12:11:22 time: 0.5820 data_time: 0.0259 memory: 13723 grad_norm: 4.0475 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8938 loss: 0.8938 2022/08/09 12:45:42 - mmengine - INFO - Epoch(train) [61][500/1879] lr: 2.0000e-03 eta: 12:11:10 time: 0.5720 data_time: 0.0235 memory: 13723 grad_norm: 4.0848 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8437 loss: 0.8437 2022/08/09 12:45:53 - mmengine - INFO - Epoch(train) [61][520/1879] lr: 2.0000e-03 eta: 12:10:58 time: 0.5652 data_time: 0.0250 memory: 13723 grad_norm: 3.9689 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9745 loss: 0.9745 2022/08/09 12:46:04 - mmengine - INFO - Epoch(train) [61][540/1879] lr: 2.0000e-03 eta: 12:10:46 time: 0.5612 data_time: 0.0251 memory: 13723 grad_norm: 3.9773 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7136 loss: 0.7136 2022/08/09 12:46:16 - mmengine - INFO - Epoch(train) [61][560/1879] lr: 2.0000e-03 eta: 12:10:34 time: 0.5873 data_time: 0.0478 memory: 13723 grad_norm: 3.8388 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6332 loss: 0.6332 2022/08/09 12:46:27 - mmengine - INFO - Epoch(train) [61][580/1879] lr: 2.0000e-03 eta: 12:10:22 time: 0.5664 data_time: 0.0246 memory: 13723 grad_norm: 3.9714 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7685 loss: 0.7685 2022/08/09 12:46:39 - mmengine - INFO - Epoch(train) [61][600/1879] lr: 2.0000e-03 eta: 12:10:10 time: 0.5654 data_time: 0.0253 memory: 13723 grad_norm: 3.9748 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7644 loss: 0.7644 2022/08/09 12:46:50 - mmengine - INFO - Epoch(train) [61][620/1879] lr: 2.0000e-03 eta: 12:09:58 time: 0.5698 data_time: 0.0251 memory: 13723 grad_norm: 4.0569 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7543 loss: 0.7543 2022/08/09 12:47:01 - mmengine - INFO - Epoch(train) [61][640/1879] lr: 2.0000e-03 eta: 12:09:46 time: 0.5679 data_time: 0.0223 memory: 13723 grad_norm: 4.0051 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9074 loss: 0.9074 2022/08/09 12:47:13 - mmengine - INFO - Epoch(train) [61][660/1879] lr: 2.0000e-03 eta: 12:09:34 time: 0.5663 data_time: 0.0236 memory: 13723 grad_norm: 3.9859 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7637 loss: 0.7637 2022/08/09 12:47:24 - mmengine - INFO - Epoch(train) [61][680/1879] lr: 2.0000e-03 eta: 12:09:22 time: 0.5651 data_time: 0.0253 memory: 13723 grad_norm: 3.8334 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7293 loss: 0.7293 2022/08/09 12:47:35 - mmengine - INFO - Epoch(train) [61][700/1879] lr: 2.0000e-03 eta: 12:09:10 time: 0.5667 data_time: 0.0223 memory: 13723 grad_norm: 3.9827 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7225 loss: 0.7225 2022/08/09 12:47:47 - mmengine - INFO - Epoch(train) [61][720/1879] lr: 2.0000e-03 eta: 12:08:58 time: 0.5643 data_time: 0.0250 memory: 13723 grad_norm: 4.0721 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7613 loss: 0.7613 2022/08/09 12:47:58 - mmengine - INFO - Epoch(train) [61][740/1879] lr: 2.0000e-03 eta: 12:08:46 time: 0.5847 data_time: 0.0271 memory: 13723 grad_norm: 4.1295 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8694 loss: 0.8694 2022/08/09 12:48:10 - mmengine - INFO - Epoch(train) [61][760/1879] lr: 2.0000e-03 eta: 12:08:34 time: 0.5675 data_time: 0.0239 memory: 13723 grad_norm: 3.9128 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8436 loss: 0.8436 2022/08/09 12:48:21 - mmengine - INFO - Epoch(train) [61][780/1879] lr: 2.0000e-03 eta: 12:08:22 time: 0.5671 data_time: 0.0273 memory: 13723 grad_norm: 4.0222 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8686 loss: 0.8686 2022/08/09 12:48:32 - mmengine - INFO - Epoch(train) [61][800/1879] lr: 2.0000e-03 eta: 12:08:10 time: 0.5589 data_time: 0.0228 memory: 13723 grad_norm: 3.9449 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6860 loss: 0.6860 2022/08/09 12:48:44 - mmengine - INFO - Epoch(train) [61][820/1879] lr: 2.0000e-03 eta: 12:07:58 time: 0.5676 data_time: 0.0249 memory: 13723 grad_norm: 3.9602 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6791 loss: 0.6791 2022/08/09 12:48:55 - mmengine - INFO - Epoch(train) [61][840/1879] lr: 2.0000e-03 eta: 12:07:46 time: 0.5655 data_time: 0.0255 memory: 13723 grad_norm: 3.8883 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6490 loss: 0.6490 2022/08/09 12:49:06 - mmengine - INFO - Epoch(train) [61][860/1879] lr: 2.0000e-03 eta: 12:07:34 time: 0.5654 data_time: 0.0234 memory: 13723 grad_norm: 3.9368 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8051 loss: 0.8051 2022/08/09 12:49:19 - mmengine - INFO - Epoch(train) [61][880/1879] lr: 2.0000e-03 eta: 12:07:22 time: 0.6073 data_time: 0.0652 memory: 13723 grad_norm: 4.0363 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.7869 loss: 0.7869 2022/08/09 12:49:30 - mmengine - INFO - Epoch(train) [61][900/1879] lr: 2.0000e-03 eta: 12:07:10 time: 0.5586 data_time: 0.0200 memory: 13723 grad_norm: 3.9790 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7020 loss: 0.7020 2022/08/09 12:49:41 - mmengine - INFO - Epoch(train) [61][920/1879] lr: 2.0000e-03 eta: 12:06:58 time: 0.5702 data_time: 0.0223 memory: 13723 grad_norm: 3.8555 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7224 loss: 0.7224 2022/08/09 12:49:52 - mmengine - INFO - Epoch(train) [61][940/1879] lr: 2.0000e-03 eta: 12:06:46 time: 0.5631 data_time: 0.0251 memory: 13723 grad_norm: 3.9053 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6745 loss: 0.6745 2022/08/09 12:50:04 - mmengine - INFO - Epoch(train) [61][960/1879] lr: 2.0000e-03 eta: 12:06:34 time: 0.5678 data_time: 0.0248 memory: 13723 grad_norm: 3.9828 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8579 loss: 0.8579 2022/08/09 12:50:15 - mmengine - INFO - Epoch(train) [61][980/1879] lr: 2.0000e-03 eta: 12:06:22 time: 0.5679 data_time: 0.0273 memory: 13723 grad_norm: 3.8975 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7587 loss: 0.7587 2022/08/09 12:50:27 - mmengine - INFO - Epoch(train) [61][1000/1879] lr: 2.0000e-03 eta: 12:06:10 time: 0.5834 data_time: 0.0258 memory: 13723 grad_norm: 3.8190 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9445 loss: 0.9445 2022/08/09 12:50:39 - mmengine - INFO - Epoch(train) [61][1020/1879] lr: 2.0000e-03 eta: 12:05:58 time: 0.5884 data_time: 0.0266 memory: 13723 grad_norm: 4.0511 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9712 loss: 0.9712 2022/08/09 12:50:50 - mmengine - INFO - Epoch(train) [61][1040/1879] lr: 2.0000e-03 eta: 12:05:47 time: 0.5855 data_time: 0.0250 memory: 13723 grad_norm: 4.0215 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8663 loss: 0.8663 2022/08/09 12:51:02 - mmengine - INFO - Epoch(train) [61][1060/1879] lr: 2.0000e-03 eta: 12:05:35 time: 0.5935 data_time: 0.0532 memory: 13723 grad_norm: 3.8349 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7781 loss: 0.7781 2022/08/09 12:51:13 - mmengine - INFO - Epoch(train) [61][1080/1879] lr: 2.0000e-03 eta: 12:05:23 time: 0.5595 data_time: 0.0221 memory: 13723 grad_norm: 4.0548 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7243 loss: 0.7243 2022/08/09 12:51:25 - mmengine - INFO - Epoch(train) [61][1100/1879] lr: 2.0000e-03 eta: 12:05:11 time: 0.5940 data_time: 0.0580 memory: 13723 grad_norm: 3.8179 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.6493 loss: 0.6493 2022/08/09 12:51:37 - mmengine - INFO - Epoch(train) [61][1120/1879] lr: 2.0000e-03 eta: 12:04:59 time: 0.5656 data_time: 0.0265 memory: 13723 grad_norm: 4.0796 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7881 loss: 0.7881 2022/08/09 12:51:48 - mmengine - INFO - Epoch(train) [61][1140/1879] lr: 2.0000e-03 eta: 12:04:47 time: 0.5739 data_time: 0.0253 memory: 13723 grad_norm: 4.0205 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8240 loss: 0.8240 2022/08/09 12:51:59 - mmengine - INFO - Epoch(train) [61][1160/1879] lr: 2.0000e-03 eta: 12:04:35 time: 0.5648 data_time: 0.0243 memory: 13723 grad_norm: 4.0131 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8401 loss: 0.8401 2022/08/09 12:52:11 - mmengine - INFO - Epoch(train) [61][1180/1879] lr: 2.0000e-03 eta: 12:04:23 time: 0.5627 data_time: 0.0240 memory: 13723 grad_norm: 4.0807 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8636 loss: 0.8636 2022/08/09 12:52:22 - mmengine - INFO - Epoch(train) [61][1200/1879] lr: 2.0000e-03 eta: 12:04:11 time: 0.5676 data_time: 0.0234 memory: 13723 grad_norm: 3.9171 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7108 loss: 0.7108 2022/08/09 12:52:33 - mmengine - INFO - Epoch(train) [61][1220/1879] lr: 2.0000e-03 eta: 12:03:59 time: 0.5649 data_time: 0.0231 memory: 13723 grad_norm: 3.9925 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6542 loss: 0.6542 2022/08/09 12:52:45 - mmengine - INFO - Epoch(train) [61][1240/1879] lr: 2.0000e-03 eta: 12:03:47 time: 0.5683 data_time: 0.0246 memory: 13723 grad_norm: 3.9594 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7783 loss: 0.7783 2022/08/09 12:52:56 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 12:52:56 - mmengine - INFO - Epoch(train) [61][1260/1879] lr: 2.0000e-03 eta: 12:03:35 time: 0.5636 data_time: 0.0238 memory: 13723 grad_norm: 3.8799 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7513 loss: 0.7513 2022/08/09 12:53:07 - mmengine - INFO - Epoch(train) [61][1280/1879] lr: 2.0000e-03 eta: 12:03:23 time: 0.5614 data_time: 0.0240 memory: 13723 grad_norm: 4.0643 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8874 loss: 0.8874 2022/08/09 12:53:19 - mmengine - INFO - Epoch(train) [61][1300/1879] lr: 2.0000e-03 eta: 12:03:11 time: 0.5729 data_time: 0.0251 memory: 13723 grad_norm: 4.0475 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7905 loss: 0.7905 2022/08/09 12:53:30 - mmengine - INFO - Epoch(train) [61][1320/1879] lr: 2.0000e-03 eta: 12:02:59 time: 0.5614 data_time: 0.0232 memory: 13723 grad_norm: 4.0115 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7260 loss: 0.7260 2022/08/09 12:53:41 - mmengine - INFO - Epoch(train) [61][1340/1879] lr: 2.0000e-03 eta: 12:02:47 time: 0.5647 data_time: 0.0251 memory: 13723 grad_norm: 4.0043 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7602 loss: 0.7602 2022/08/09 12:53:53 - mmengine - INFO - Epoch(train) [61][1360/1879] lr: 2.0000e-03 eta: 12:02:35 time: 0.5688 data_time: 0.0251 memory: 13723 grad_norm: 4.0274 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9460 loss: 0.9460 2022/08/09 12:54:04 - mmengine - INFO - Epoch(train) [61][1380/1879] lr: 2.0000e-03 eta: 12:02:23 time: 0.5636 data_time: 0.0250 memory: 13723 grad_norm: 3.9932 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9025 loss: 0.9025 2022/08/09 12:54:15 - mmengine - INFO - Epoch(train) [61][1400/1879] lr: 2.0000e-03 eta: 12:02:11 time: 0.5652 data_time: 0.0239 memory: 13723 grad_norm: 3.8382 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7508 loss: 0.7508 2022/08/09 12:54:27 - mmengine - INFO - Epoch(train) [61][1420/1879] lr: 2.0000e-03 eta: 12:01:59 time: 0.5660 data_time: 0.0264 memory: 13723 grad_norm: 3.9147 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6626 loss: 0.6626 2022/08/09 12:54:38 - mmengine - INFO - Epoch(train) [61][1440/1879] lr: 2.0000e-03 eta: 12:01:47 time: 0.5656 data_time: 0.0243 memory: 13723 grad_norm: 3.8840 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8075 loss: 0.8075 2022/08/09 12:54:49 - mmengine - INFO - Epoch(train) [61][1460/1879] lr: 2.0000e-03 eta: 12:01:35 time: 0.5649 data_time: 0.0261 memory: 13723 grad_norm: 4.0601 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9656 loss: 0.9656 2022/08/09 12:55:01 - mmengine - INFO - Epoch(train) [61][1480/1879] lr: 2.0000e-03 eta: 12:01:23 time: 0.5683 data_time: 0.0247 memory: 13723 grad_norm: 3.9459 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8991 loss: 0.8991 2022/08/09 12:55:12 - mmengine - INFO - Epoch(train) [61][1500/1879] lr: 2.0000e-03 eta: 12:01:11 time: 0.5801 data_time: 0.0260 memory: 13723 grad_norm: 3.9803 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7328 loss: 0.7328 2022/08/09 12:55:24 - mmengine - INFO - Epoch(train) [61][1520/1879] lr: 2.0000e-03 eta: 12:00:59 time: 0.5767 data_time: 0.0293 memory: 13723 grad_norm: 3.9734 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7165 loss: 0.7165 2022/08/09 12:55:35 - mmengine - INFO - Epoch(train) [61][1540/1879] lr: 2.0000e-03 eta: 12:00:47 time: 0.5682 data_time: 0.0236 memory: 13723 grad_norm: 3.9029 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7297 loss: 0.7297 2022/08/09 12:55:47 - mmengine - INFO - Epoch(train) [61][1560/1879] lr: 2.0000e-03 eta: 12:00:35 time: 0.5694 data_time: 0.0247 memory: 13723 grad_norm: 3.9540 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8152 loss: 0.8152 2022/08/09 12:55:58 - mmengine - INFO - Epoch(train) [61][1580/1879] lr: 2.0000e-03 eta: 12:00:23 time: 0.5666 data_time: 0.0231 memory: 13723 grad_norm: 3.8859 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8461 loss: 0.8461 2022/08/09 12:56:09 - mmengine - INFO - Epoch(train) [61][1600/1879] lr: 2.0000e-03 eta: 12:00:11 time: 0.5640 data_time: 0.0234 memory: 13723 grad_norm: 3.9394 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7467 loss: 0.7467 2022/08/09 12:56:21 - mmengine - INFO - Epoch(train) [61][1620/1879] lr: 2.0000e-03 eta: 11:59:59 time: 0.5859 data_time: 0.0453 memory: 13723 grad_norm: 4.0563 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8819 loss: 0.8819 2022/08/09 12:56:32 - mmengine - INFO - Epoch(train) [61][1640/1879] lr: 2.0000e-03 eta: 11:59:47 time: 0.5610 data_time: 0.0233 memory: 13723 grad_norm: 3.9501 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7891 loss: 0.7891 2022/08/09 12:56:44 - mmengine - INFO - Epoch(train) [61][1660/1879] lr: 2.0000e-03 eta: 11:59:35 time: 0.5673 data_time: 0.0243 memory: 13723 grad_norm: 3.9559 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7259 loss: 0.7259 2022/08/09 12:56:55 - mmengine - INFO - Epoch(train) [61][1680/1879] lr: 2.0000e-03 eta: 11:59:23 time: 0.5659 data_time: 0.0230 memory: 13723 grad_norm: 4.0131 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7819 loss: 0.7819 2022/08/09 12:57:06 - mmengine - INFO - Epoch(train) [61][1700/1879] lr: 2.0000e-03 eta: 11:59:11 time: 0.5673 data_time: 0.0236 memory: 13723 grad_norm: 4.1650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9260 loss: 0.9260 2022/08/09 12:57:18 - mmengine - INFO - Epoch(train) [61][1720/1879] lr: 2.0000e-03 eta: 11:58:59 time: 0.5748 data_time: 0.0322 memory: 13723 grad_norm: 4.0269 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7580 loss: 0.7580 2022/08/09 12:57:29 - mmengine - INFO - Epoch(train) [61][1740/1879] lr: 2.0000e-03 eta: 11:58:47 time: 0.5615 data_time: 0.0237 memory: 13723 grad_norm: 4.0562 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8345 loss: 0.8345 2022/08/09 12:57:40 - mmengine - INFO - Epoch(train) [61][1760/1879] lr: 2.0000e-03 eta: 11:58:35 time: 0.5691 data_time: 0.0252 memory: 13723 grad_norm: 3.8990 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7534 loss: 0.7534 2022/08/09 12:57:52 - mmengine - INFO - Epoch(train) [61][1780/1879] lr: 2.0000e-03 eta: 11:58:23 time: 0.5794 data_time: 0.0326 memory: 13723 grad_norm: 3.8404 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7810 loss: 0.7810 2022/08/09 12:58:03 - mmengine - INFO - Epoch(train) [61][1800/1879] lr: 2.0000e-03 eta: 11:58:11 time: 0.5667 data_time: 0.0235 memory: 13723 grad_norm: 4.0412 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9100 loss: 0.9100 2022/08/09 12:58:15 - mmengine - INFO - Epoch(train) [61][1820/1879] lr: 2.0000e-03 eta: 11:57:59 time: 0.5629 data_time: 0.0243 memory: 13723 grad_norm: 3.9406 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9749 loss: 0.9749 2022/08/09 12:58:26 - mmengine - INFO - Epoch(train) [61][1840/1879] lr: 2.0000e-03 eta: 11:57:47 time: 0.5646 data_time: 0.0249 memory: 13723 grad_norm: 3.9114 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8074 loss: 0.8074 2022/08/09 12:58:37 - mmengine - INFO - Epoch(train) [61][1860/1879] lr: 2.0000e-03 eta: 11:57:35 time: 0.5678 data_time: 0.0238 memory: 13723 grad_norm: 4.0868 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8968 loss: 0.8968 2022/08/09 12:58:48 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 12:58:48 - mmengine - INFO - Epoch(train) [61][1879/1879] lr: 2.0000e-03 eta: 11:57:35 time: 0.5458 data_time: 0.0191 memory: 13723 grad_norm: 4.0222 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.7050 loss: 0.7050 2022/08/09 12:59:01 - mmengine - INFO - Epoch(val) [61][20/155] eta: 0:01:30 time: 0.6712 data_time: 0.5287 memory: 1829 2022/08/09 12:59:10 - mmengine - INFO - Epoch(val) [61][40/155] eta: 0:00:51 time: 0.4501 data_time: 0.3095 memory: 1829 2022/08/09 12:59:23 - mmengine - INFO - Epoch(val) [61][60/155] eta: 0:01:00 time: 0.6377 data_time: 0.4971 memory: 1829 2022/08/09 12:59:32 - mmengine - INFO - Epoch(val) [61][80/155] eta: 0:00:35 time: 0.4693 data_time: 0.3288 memory: 1829 2022/08/09 12:59:45 - mmengine - INFO - Epoch(val) [61][100/155] eta: 0:00:35 time: 0.6458 data_time: 0.5059 memory: 1829 2022/08/09 12:59:54 - mmengine - INFO - Epoch(val) [61][120/155] eta: 0:00:15 time: 0.4404 data_time: 0.2994 memory: 1829 2022/08/09 13:00:10 - mmengine - INFO - Epoch(val) [61][140/155] eta: 0:00:12 time: 0.8163 data_time: 0.6770 memory: 1829 2022/08/09 13:00:18 - mmengine - INFO - Epoch(val) [61][155/155] acc/top1: 0.7119 acc/top5: 0.8976 acc/mean1: 0.7117 2022/08/09 13:00:35 - mmengine - INFO - Epoch(train) [62][20/1879] lr: 2.0000e-03 eta: 11:57:08 time: 0.8168 data_time: 0.1929 memory: 13723 grad_norm: 3.7730 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7796 loss: 0.7796 2022/08/09 13:00:46 - mmengine - INFO - Epoch(train) [62][40/1879] lr: 2.0000e-03 eta: 11:56:56 time: 0.5815 data_time: 0.0249 memory: 13723 grad_norm: 3.8590 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6955 loss: 0.6955 2022/08/09 13:00:58 - mmengine - INFO - Epoch(train) [62][60/1879] lr: 2.0000e-03 eta: 11:56:44 time: 0.5914 data_time: 0.0276 memory: 13723 grad_norm: 3.7501 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7380 loss: 0.7380 2022/08/09 13:01:10 - mmengine - INFO - Epoch(train) [62][80/1879] lr: 2.0000e-03 eta: 11:56:33 time: 0.5942 data_time: 0.0481 memory: 13723 grad_norm: 3.9678 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7101 loss: 0.7101 2022/08/09 13:01:22 - mmengine - INFO - Epoch(train) [62][100/1879] lr: 2.0000e-03 eta: 11:56:21 time: 0.5668 data_time: 0.0239 memory: 13723 grad_norm: 3.9578 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8301 loss: 0.8301 2022/08/09 13:01:33 - mmengine - INFO - Epoch(train) [62][120/1879] lr: 2.0000e-03 eta: 11:56:09 time: 0.5652 data_time: 0.0251 memory: 13723 grad_norm: 3.8362 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6127 loss: 0.6127 2022/08/09 13:01:44 - mmengine - INFO - Epoch(train) [62][140/1879] lr: 2.0000e-03 eta: 11:55:57 time: 0.5616 data_time: 0.0237 memory: 13723 grad_norm: 3.8786 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7241 loss: 0.7241 2022/08/09 13:01:55 - mmengine - INFO - Epoch(train) [62][160/1879] lr: 2.0000e-03 eta: 11:55:45 time: 0.5645 data_time: 0.0240 memory: 13723 grad_norm: 3.9397 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7516 loss: 0.7516 2022/08/09 13:02:07 - mmengine - INFO - Epoch(train) [62][180/1879] lr: 2.0000e-03 eta: 11:55:33 time: 0.5645 data_time: 0.0231 memory: 13723 grad_norm: 4.0889 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8107 loss: 0.8107 2022/08/09 13:02:18 - mmengine - INFO - Epoch(train) [62][200/1879] lr: 2.0000e-03 eta: 11:55:21 time: 0.5683 data_time: 0.0259 memory: 13723 grad_norm: 3.9711 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7389 loss: 0.7389 2022/08/09 13:02:29 - mmengine - INFO - Epoch(train) [62][220/1879] lr: 2.0000e-03 eta: 11:55:08 time: 0.5648 data_time: 0.0247 memory: 13723 grad_norm: 3.9632 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7302 loss: 0.7302 2022/08/09 13:02:41 - mmengine - INFO - Epoch(train) [62][240/1879] lr: 2.0000e-03 eta: 11:54:56 time: 0.5673 data_time: 0.0252 memory: 13723 grad_norm: 3.9663 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8284 loss: 0.8284 2022/08/09 13:02:52 - mmengine - INFO - Epoch(train) [62][260/1879] lr: 2.0000e-03 eta: 11:54:44 time: 0.5642 data_time: 0.0235 memory: 13723 grad_norm: 3.9504 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8349 loss: 0.8349 2022/08/09 13:03:03 - mmengine - INFO - Epoch(train) [62][280/1879] lr: 2.0000e-03 eta: 11:54:32 time: 0.5644 data_time: 0.0223 memory: 13723 grad_norm: 4.1009 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7971 loss: 0.7971 2022/08/09 13:03:15 - mmengine - INFO - Epoch(train) [62][300/1879] lr: 2.0000e-03 eta: 11:54:20 time: 0.5692 data_time: 0.0273 memory: 13723 grad_norm: 3.8678 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6278 loss: 0.6278 2022/08/09 13:03:26 - mmengine - INFO - Epoch(train) [62][320/1879] lr: 2.0000e-03 eta: 11:54:08 time: 0.5652 data_time: 0.0258 memory: 13723 grad_norm: 3.9958 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7947 loss: 0.7947 2022/08/09 13:03:37 - mmengine - INFO - Epoch(train) [62][340/1879] lr: 2.0000e-03 eta: 11:53:56 time: 0.5655 data_time: 0.0234 memory: 13723 grad_norm: 3.9739 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8836 loss: 0.8836 2022/08/09 13:03:49 - mmengine - INFO - Epoch(train) [62][360/1879] lr: 2.0000e-03 eta: 11:53:44 time: 0.5704 data_time: 0.0244 memory: 13723 grad_norm: 4.0531 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7790 loss: 0.7790 2022/08/09 13:04:00 - mmengine - INFO - Epoch(train) [62][380/1879] lr: 2.0000e-03 eta: 11:53:32 time: 0.5714 data_time: 0.0275 memory: 13723 grad_norm: 4.0530 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8074 loss: 0.8074 2022/08/09 13:04:01 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 13:04:12 - mmengine - INFO - Epoch(train) [62][400/1879] lr: 2.0000e-03 eta: 11:53:20 time: 0.5641 data_time: 0.0224 memory: 13723 grad_norm: 3.8619 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7826 loss: 0.7826 2022/08/09 13:04:23 - mmengine - INFO - Epoch(train) [62][420/1879] lr: 2.0000e-03 eta: 11:53:08 time: 0.5642 data_time: 0.0231 memory: 13723 grad_norm: 3.9489 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7312 loss: 0.7312 2022/08/09 13:04:34 - mmengine - INFO - Epoch(train) [62][440/1879] lr: 2.0000e-03 eta: 11:52:56 time: 0.5658 data_time: 0.0242 memory: 13723 grad_norm: 3.8875 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7638 loss: 0.7638 2022/08/09 13:04:45 - mmengine - INFO - Epoch(train) [62][460/1879] lr: 2.0000e-03 eta: 11:52:44 time: 0.5626 data_time: 0.0237 memory: 13723 grad_norm: 4.0801 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7984 loss: 0.7984 2022/08/09 13:04:57 - mmengine - INFO - Epoch(train) [62][480/1879] lr: 2.0000e-03 eta: 11:52:32 time: 0.5638 data_time: 0.0262 memory: 13723 grad_norm: 4.0403 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8348 loss: 0.8348 2022/08/09 13:05:08 - mmengine - INFO - Epoch(train) [62][500/1879] lr: 2.0000e-03 eta: 11:52:20 time: 0.5624 data_time: 0.0249 memory: 13723 grad_norm: 3.8736 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7225 loss: 0.7225 2022/08/09 13:05:21 - mmengine - INFO - Epoch(train) [62][520/1879] lr: 2.0000e-03 eta: 11:52:09 time: 0.6573 data_time: 0.0254 memory: 13723 grad_norm: 3.9655 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7638 loss: 0.7638 2022/08/09 13:05:33 - mmengine - INFO - Epoch(train) [62][540/1879] lr: 2.0000e-03 eta: 11:51:58 time: 0.5933 data_time: 0.0276 memory: 13723 grad_norm: 3.9317 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7949 loss: 0.7949 2022/08/09 13:05:45 - mmengine - INFO - Epoch(train) [62][560/1879] lr: 2.0000e-03 eta: 11:51:46 time: 0.5892 data_time: 0.0246 memory: 13723 grad_norm: 3.9338 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7356 loss: 0.7356 2022/08/09 13:05:56 - mmengine - INFO - Epoch(train) [62][580/1879] lr: 2.0000e-03 eta: 11:51:34 time: 0.5806 data_time: 0.0237 memory: 13723 grad_norm: 3.9292 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8127 loss: 0.8127 2022/08/09 13:06:08 - mmengine - INFO - Epoch(train) [62][600/1879] lr: 2.0000e-03 eta: 11:51:22 time: 0.5750 data_time: 0.0210 memory: 13723 grad_norm: 3.9506 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7424 loss: 0.7424 2022/08/09 13:06:20 - mmengine - INFO - Epoch(train) [62][620/1879] lr: 2.0000e-03 eta: 11:51:10 time: 0.5756 data_time: 0.0248 memory: 13723 grad_norm: 3.9197 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8233 loss: 0.8233 2022/08/09 13:06:31 - mmengine - INFO - Epoch(train) [62][640/1879] lr: 2.0000e-03 eta: 11:50:58 time: 0.5665 data_time: 0.0241 memory: 13723 grad_norm: 4.1480 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9041 loss: 0.9041 2022/08/09 13:06:43 - mmengine - INFO - Epoch(train) [62][660/1879] lr: 2.0000e-03 eta: 11:50:47 time: 0.5917 data_time: 0.0224 memory: 13723 grad_norm: 4.1115 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9520 loss: 0.9520 2022/08/09 13:06:54 - mmengine - INFO - Epoch(train) [62][680/1879] lr: 2.0000e-03 eta: 11:50:35 time: 0.5604 data_time: 0.0232 memory: 13723 grad_norm: 4.0290 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9550 loss: 0.9550 2022/08/09 13:07:05 - mmengine - INFO - Epoch(train) [62][700/1879] lr: 2.0000e-03 eta: 11:50:23 time: 0.5679 data_time: 0.0244 memory: 13723 grad_norm: 4.0017 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8603 loss: 0.8603 2022/08/09 13:07:17 - mmengine - INFO - Epoch(train) [62][720/1879] lr: 2.0000e-03 eta: 11:50:11 time: 0.5766 data_time: 0.0251 memory: 13723 grad_norm: 4.0604 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8638 loss: 0.8638 2022/08/09 13:07:28 - mmengine - INFO - Epoch(train) [62][740/1879] lr: 2.0000e-03 eta: 11:49:59 time: 0.5719 data_time: 0.0239 memory: 13723 grad_norm: 3.7915 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7687 loss: 0.7687 2022/08/09 13:07:40 - mmengine - INFO - Epoch(train) [62][760/1879] lr: 2.0000e-03 eta: 11:49:47 time: 0.5660 data_time: 0.0235 memory: 13723 grad_norm: 3.9932 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8501 loss: 0.8501 2022/08/09 13:07:51 - mmengine - INFO - Epoch(train) [62][780/1879] lr: 2.0000e-03 eta: 11:49:35 time: 0.5809 data_time: 0.0263 memory: 13723 grad_norm: 4.0359 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7214 loss: 0.7214 2022/08/09 13:08:03 - mmengine - INFO - Epoch(train) [62][800/1879] lr: 2.0000e-03 eta: 11:49:23 time: 0.5930 data_time: 0.0244 memory: 13723 grad_norm: 4.1159 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8625 loss: 0.8625 2022/08/09 13:08:14 - mmengine - INFO - Epoch(train) [62][820/1879] lr: 2.0000e-03 eta: 11:49:11 time: 0.5644 data_time: 0.0236 memory: 13723 grad_norm: 4.0199 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.7679 loss: 0.7679 2022/08/09 13:08:26 - mmengine - INFO - Epoch(train) [62][840/1879] lr: 2.0000e-03 eta: 11:48:59 time: 0.5705 data_time: 0.0244 memory: 13723 grad_norm: 3.9404 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7556 loss: 0.7556 2022/08/09 13:08:37 - mmengine - INFO - Epoch(train) [62][860/1879] lr: 2.0000e-03 eta: 11:48:47 time: 0.5706 data_time: 0.0251 memory: 13723 grad_norm: 4.1071 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7168 loss: 0.7168 2022/08/09 13:08:49 - mmengine - INFO - Epoch(train) [62][880/1879] lr: 2.0000e-03 eta: 11:48:35 time: 0.5748 data_time: 0.0257 memory: 13723 grad_norm: 4.0736 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7493 loss: 0.7493 2022/08/09 13:09:00 - mmengine - INFO - Epoch(train) [62][900/1879] lr: 2.0000e-03 eta: 11:48:23 time: 0.5700 data_time: 0.0254 memory: 13723 grad_norm: 4.0247 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7081 loss: 0.7081 2022/08/09 13:09:12 - mmengine - INFO - Epoch(train) [62][920/1879] lr: 2.0000e-03 eta: 11:48:11 time: 0.5666 data_time: 0.0249 memory: 13723 grad_norm: 3.9964 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8643 loss: 0.8643 2022/08/09 13:09:23 - mmengine - INFO - Epoch(train) [62][940/1879] lr: 2.0000e-03 eta: 11:47:59 time: 0.5658 data_time: 0.0235 memory: 13723 grad_norm: 4.1734 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8088 loss: 0.8088 2022/08/09 13:09:34 - mmengine - INFO - Epoch(train) [62][960/1879] lr: 2.0000e-03 eta: 11:47:47 time: 0.5694 data_time: 0.0262 memory: 13723 grad_norm: 4.0905 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8157 loss: 0.8157 2022/08/09 13:09:46 - mmengine - INFO - Epoch(train) [62][980/1879] lr: 2.0000e-03 eta: 11:47:36 time: 0.5771 data_time: 0.0220 memory: 13723 grad_norm: 4.0829 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8172 loss: 0.8172 2022/08/09 13:09:57 - mmengine - INFO - Epoch(train) [62][1000/1879] lr: 2.0000e-03 eta: 11:47:24 time: 0.5662 data_time: 0.0225 memory: 13723 grad_norm: 4.0272 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8294 loss: 0.8294 2022/08/09 13:10:09 - mmengine - INFO - Epoch(train) [62][1020/1879] lr: 2.0000e-03 eta: 11:47:12 time: 0.5655 data_time: 0.0214 memory: 13723 grad_norm: 3.9230 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6714 loss: 0.6714 2022/08/09 13:10:20 - mmengine - INFO - Epoch(train) [62][1040/1879] lr: 2.0000e-03 eta: 11:47:00 time: 0.5791 data_time: 0.0269 memory: 13723 grad_norm: 4.0919 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7937 loss: 0.7937 2022/08/09 13:10:33 - mmengine - INFO - Epoch(train) [62][1060/1879] lr: 2.0000e-03 eta: 11:46:49 time: 0.6353 data_time: 0.0269 memory: 13723 grad_norm: 3.8828 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7731 loss: 0.7731 2022/08/09 13:10:45 - mmengine - INFO - Epoch(train) [62][1080/1879] lr: 2.0000e-03 eta: 11:46:37 time: 0.5833 data_time: 0.0260 memory: 13723 grad_norm: 4.0735 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8697 loss: 0.8697 2022/08/09 13:10:56 - mmengine - INFO - Epoch(train) [62][1100/1879] lr: 2.0000e-03 eta: 11:46:25 time: 0.5846 data_time: 0.0225 memory: 13723 grad_norm: 4.1099 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9069 loss: 0.9069 2022/08/09 13:11:08 - mmengine - INFO - Epoch(train) [62][1120/1879] lr: 2.0000e-03 eta: 11:46:13 time: 0.5798 data_time: 0.0231 memory: 13723 grad_norm: 4.1075 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7312 loss: 0.7312 2022/08/09 13:11:19 - mmengine - INFO - Epoch(train) [62][1140/1879] lr: 2.0000e-03 eta: 11:46:01 time: 0.5734 data_time: 0.0233 memory: 13723 grad_norm: 3.9916 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7681 loss: 0.7681 2022/08/09 13:11:31 - mmengine - INFO - Epoch(train) [62][1160/1879] lr: 2.0000e-03 eta: 11:45:49 time: 0.5651 data_time: 0.0238 memory: 13723 grad_norm: 4.0746 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7985 loss: 0.7985 2022/08/09 13:11:42 - mmengine - INFO - Epoch(train) [62][1180/1879] lr: 2.0000e-03 eta: 11:45:37 time: 0.5678 data_time: 0.0235 memory: 13723 grad_norm: 4.0642 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7236 loss: 0.7236 2022/08/09 13:11:53 - mmengine - INFO - Epoch(train) [62][1200/1879] lr: 2.0000e-03 eta: 11:45:25 time: 0.5684 data_time: 0.0223 memory: 13723 grad_norm: 3.9508 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7646 loss: 0.7646 2022/08/09 13:12:05 - mmengine - INFO - Epoch(train) [62][1220/1879] lr: 2.0000e-03 eta: 11:45:13 time: 0.5719 data_time: 0.0239 memory: 13723 grad_norm: 4.0215 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7486 loss: 0.7486 2022/08/09 13:12:16 - mmengine - INFO - Epoch(train) [62][1240/1879] lr: 2.0000e-03 eta: 11:45:01 time: 0.5657 data_time: 0.0230 memory: 13723 grad_norm: 4.1037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9238 loss: 0.9238 2022/08/09 13:12:27 - mmengine - INFO - Epoch(train) [62][1260/1879] lr: 2.0000e-03 eta: 11:44:49 time: 0.5640 data_time: 0.0235 memory: 13723 grad_norm: 4.0621 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7679 loss: 0.7679 2022/08/09 13:12:39 - mmengine - INFO - Epoch(train) [62][1280/1879] lr: 2.0000e-03 eta: 11:44:37 time: 0.5641 data_time: 0.0233 memory: 13723 grad_norm: 4.0662 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8706 loss: 0.8706 2022/08/09 13:12:50 - mmengine - INFO - Epoch(train) [62][1300/1879] lr: 2.0000e-03 eta: 11:44:25 time: 0.5684 data_time: 0.0234 memory: 13723 grad_norm: 4.0152 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7793 loss: 0.7793 2022/08/09 13:13:02 - mmengine - INFO - Epoch(train) [62][1320/1879] lr: 2.0000e-03 eta: 11:44:13 time: 0.5684 data_time: 0.0240 memory: 13723 grad_norm: 4.1998 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9273 loss: 0.9273 2022/08/09 13:13:13 - mmengine - INFO - Epoch(train) [62][1340/1879] lr: 2.0000e-03 eta: 11:44:01 time: 0.5690 data_time: 0.0219 memory: 13723 grad_norm: 3.9736 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8663 loss: 0.8663 2022/08/09 13:13:24 - mmengine - INFO - Epoch(train) [62][1360/1879] lr: 2.0000e-03 eta: 11:43:49 time: 0.5686 data_time: 0.0236 memory: 13723 grad_norm: 3.9021 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7473 loss: 0.7473 2022/08/09 13:13:36 - mmengine - INFO - Epoch(train) [62][1380/1879] lr: 2.0000e-03 eta: 11:43:37 time: 0.5650 data_time: 0.0219 memory: 13723 grad_norm: 3.8983 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8588 loss: 0.8588 2022/08/09 13:13:36 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 13:13:47 - mmengine - INFO - Epoch(train) [62][1400/1879] lr: 2.0000e-03 eta: 11:43:25 time: 0.5739 data_time: 0.0263 memory: 13723 grad_norm: 3.9114 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7717 loss: 0.7717 2022/08/09 13:13:58 - mmengine - INFO - Epoch(train) [62][1420/1879] lr: 2.0000e-03 eta: 11:43:13 time: 0.5635 data_time: 0.0241 memory: 13723 grad_norm: 4.1553 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8459 loss: 0.8459 2022/08/09 13:14:10 - mmengine - INFO - Epoch(train) [62][1440/1879] lr: 2.0000e-03 eta: 11:43:01 time: 0.5690 data_time: 0.0242 memory: 13723 grad_norm: 4.0250 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7061 loss: 0.7061 2022/08/09 13:14:21 - mmengine - INFO - Epoch(train) [62][1460/1879] lr: 2.0000e-03 eta: 11:42:49 time: 0.5687 data_time: 0.0245 memory: 13723 grad_norm: 3.9260 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8367 loss: 0.8367 2022/08/09 13:14:32 - mmengine - INFO - Epoch(train) [62][1480/1879] lr: 2.0000e-03 eta: 11:42:37 time: 0.5644 data_time: 0.0222 memory: 13723 grad_norm: 3.9769 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8513 loss: 0.8513 2022/08/09 13:14:44 - mmengine - INFO - Epoch(train) [62][1500/1879] lr: 2.0000e-03 eta: 11:42:25 time: 0.5687 data_time: 0.0247 memory: 13723 grad_norm: 4.0410 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7344 loss: 0.7344 2022/08/09 13:14:55 - mmengine - INFO - Epoch(train) [62][1520/1879] lr: 2.0000e-03 eta: 11:42:13 time: 0.5635 data_time: 0.0254 memory: 13723 grad_norm: 4.0696 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7778 loss: 0.7778 2022/08/09 13:15:07 - mmengine - INFO - Epoch(train) [62][1540/1879] lr: 2.0000e-03 eta: 11:42:02 time: 0.5712 data_time: 0.0243 memory: 13723 grad_norm: 4.0274 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8577 loss: 0.8577 2022/08/09 13:15:18 - mmengine - INFO - Epoch(train) [62][1560/1879] lr: 2.0000e-03 eta: 11:41:50 time: 0.5782 data_time: 0.0307 memory: 13723 grad_norm: 3.9050 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8543 loss: 0.8543 2022/08/09 13:15:30 - mmengine - INFO - Epoch(train) [62][1580/1879] lr: 2.0000e-03 eta: 11:41:38 time: 0.5888 data_time: 0.0262 memory: 13723 grad_norm: 4.1132 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7345 loss: 0.7345 2022/08/09 13:15:42 - mmengine - INFO - Epoch(train) [62][1600/1879] lr: 2.0000e-03 eta: 11:41:26 time: 0.5882 data_time: 0.0247 memory: 13723 grad_norm: 4.0946 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8299 loss: 0.8299 2022/08/09 13:15:53 - mmengine - INFO - Epoch(train) [62][1620/1879] lr: 2.0000e-03 eta: 11:41:14 time: 0.5686 data_time: 0.0229 memory: 13723 grad_norm: 3.9649 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8963 loss: 0.8963 2022/08/09 13:16:05 - mmengine - INFO - Epoch(train) [62][1640/1879] lr: 2.0000e-03 eta: 11:41:02 time: 0.5701 data_time: 0.0254 memory: 13723 grad_norm: 3.9544 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7439 loss: 0.7439 2022/08/09 13:16:16 - mmengine - INFO - Epoch(train) [62][1660/1879] lr: 2.0000e-03 eta: 11:40:50 time: 0.5764 data_time: 0.0235 memory: 13723 grad_norm: 3.9853 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9036 loss: 0.9036 2022/08/09 13:16:27 - mmengine - INFO - Epoch(train) [62][1680/1879] lr: 2.0000e-03 eta: 11:40:38 time: 0.5591 data_time: 0.0238 memory: 13723 grad_norm: 3.9494 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7266 loss: 0.7266 2022/08/09 13:16:39 - mmengine - INFO - Epoch(train) [62][1700/1879] lr: 2.0000e-03 eta: 11:40:26 time: 0.5618 data_time: 0.0228 memory: 13723 grad_norm: 4.1278 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6737 loss: 0.6737 2022/08/09 13:16:50 - mmengine - INFO - Epoch(train) [62][1720/1879] lr: 2.0000e-03 eta: 11:40:14 time: 0.5691 data_time: 0.0295 memory: 13723 grad_norm: 3.9581 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9056 loss: 0.9056 2022/08/09 13:17:01 - mmengine - INFO - Epoch(train) [62][1740/1879] lr: 2.0000e-03 eta: 11:40:02 time: 0.5642 data_time: 0.0265 memory: 13723 grad_norm: 3.9306 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7233 loss: 0.7233 2022/08/09 13:17:13 - mmengine - INFO - Epoch(train) [62][1760/1879] lr: 2.0000e-03 eta: 11:39:50 time: 0.5644 data_time: 0.0255 memory: 13723 grad_norm: 4.0878 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8438 loss: 0.8438 2022/08/09 13:17:24 - mmengine - INFO - Epoch(train) [62][1780/1879] lr: 2.0000e-03 eta: 11:39:38 time: 0.5671 data_time: 0.0245 memory: 13723 grad_norm: 4.0398 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9009 loss: 0.9009 2022/08/09 13:17:35 - mmengine - INFO - Epoch(train) [62][1800/1879] lr: 2.0000e-03 eta: 11:39:26 time: 0.5672 data_time: 0.0233 memory: 13723 grad_norm: 4.0379 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8776 loss: 0.8776 2022/08/09 13:17:46 - mmengine - INFO - Epoch(train) [62][1820/1879] lr: 2.0000e-03 eta: 11:39:14 time: 0.5620 data_time: 0.0244 memory: 13723 grad_norm: 4.0492 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7683 loss: 0.7683 2022/08/09 13:17:59 - mmengine - INFO - Epoch(train) [62][1840/1879] lr: 2.0000e-03 eta: 11:39:03 time: 0.5997 data_time: 0.0523 memory: 13723 grad_norm: 4.0552 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9128 loss: 0.9128 2022/08/09 13:18:10 - mmengine - INFO - Epoch(train) [62][1860/1879] lr: 2.0000e-03 eta: 11:38:51 time: 0.5642 data_time: 0.0260 memory: 13723 grad_norm: 4.0382 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8882 loss: 0.8882 2022/08/09 13:18:20 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 13:18:20 - mmengine - INFO - Epoch(train) [62][1879/1879] lr: 2.0000e-03 eta: 11:38:51 time: 0.5410 data_time: 0.0198 memory: 13723 grad_norm: 4.0489 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.6756 loss: 0.6756 2022/08/09 13:18:33 - mmengine - INFO - Epoch(val) [62][20/155] eta: 0:01:29 time: 0.6625 data_time: 0.5207 memory: 1829 2022/08/09 13:18:42 - mmengine - INFO - Epoch(val) [62][40/155] eta: 0:00:51 time: 0.4444 data_time: 0.3046 memory: 1829 2022/08/09 13:18:54 - mmengine - INFO - Epoch(val) [62][60/155] eta: 0:00:55 time: 0.5864 data_time: 0.4461 memory: 1829 2022/08/09 13:19:04 - mmengine - INFO - Epoch(val) [62][80/155] eta: 0:00:37 time: 0.4943 data_time: 0.3532 memory: 1829 2022/08/09 13:19:17 - mmengine - INFO - Epoch(val) [62][100/155] eta: 0:00:37 time: 0.6758 data_time: 0.5355 memory: 1829 2022/08/09 13:19:26 - mmengine - INFO - Epoch(val) [62][120/155] eta: 0:00:15 time: 0.4438 data_time: 0.3038 memory: 1829 2022/08/09 13:19:39 - mmengine - INFO - Epoch(val) [62][140/155] eta: 0:00:09 time: 0.6421 data_time: 0.5021 memory: 1829 2022/08/09 13:19:47 - mmengine - INFO - Epoch(val) [62][155/155] acc/top1: 0.7136 acc/top5: 0.8984 acc/mean1: 0.7135 2022/08/09 13:19:47 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_60.pth is removed 2022/08/09 13:19:48 - mmengine - INFO - The best checkpoint with 0.7136 acc/top1 at 63 epoch is saved to best_acc/top1_epoch_63.pth. 2022/08/09 13:20:03 - mmengine - INFO - Epoch(train) [63][20/1879] lr: 2.0000e-03 eta: 11:38:23 time: 0.7698 data_time: 0.2151 memory: 13723 grad_norm: 3.8920 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8336 loss: 0.8336 2022/08/09 13:20:20 - mmengine - INFO - Epoch(train) [63][40/1879] lr: 2.0000e-03 eta: 11:38:14 time: 0.8298 data_time: 0.2744 memory: 13723 grad_norm: 3.9143 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8687 loss: 0.8687 2022/08/09 13:20:32 - mmengine - INFO - Epoch(train) [63][60/1879] lr: 2.0000e-03 eta: 11:38:03 time: 0.5891 data_time: 0.0268 memory: 13723 grad_norm: 4.0610 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9388 loss: 0.9388 2022/08/09 13:20:44 - mmengine - INFO - Epoch(train) [63][80/1879] lr: 2.0000e-03 eta: 11:37:51 time: 0.6099 data_time: 0.0231 memory: 13723 grad_norm: 3.9038 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7024 loss: 0.7024 2022/08/09 13:20:57 - mmengine - INFO - Epoch(train) [63][100/1879] lr: 2.0000e-03 eta: 11:37:40 time: 0.6483 data_time: 0.0250 memory: 13723 grad_norm: 4.1008 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7078 loss: 0.7078 2022/08/09 13:21:08 - mmengine - INFO - Epoch(train) [63][120/1879] lr: 2.0000e-03 eta: 11:37:28 time: 0.5663 data_time: 0.0250 memory: 13723 grad_norm: 3.8923 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7713 loss: 0.7713 2022/08/09 13:21:20 - mmengine - INFO - Epoch(train) [63][140/1879] lr: 2.0000e-03 eta: 11:37:16 time: 0.5892 data_time: 0.0512 memory: 13723 grad_norm: 3.9432 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7066 loss: 0.7066 2022/08/09 13:21:32 - mmengine - INFO - Epoch(train) [63][160/1879] lr: 2.0000e-03 eta: 11:37:04 time: 0.5626 data_time: 0.0257 memory: 13723 grad_norm: 3.9231 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7183 loss: 0.7183 2022/08/09 13:21:43 - mmengine - INFO - Epoch(train) [63][180/1879] lr: 2.0000e-03 eta: 11:36:52 time: 0.5658 data_time: 0.0245 memory: 13723 grad_norm: 4.0277 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9613 loss: 0.9613 2022/08/09 13:21:54 - mmengine - INFO - Epoch(train) [63][200/1879] lr: 2.0000e-03 eta: 11:36:41 time: 0.5715 data_time: 0.0250 memory: 13723 grad_norm: 3.9782 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7901 loss: 0.7901 2022/08/09 13:22:06 - mmengine - INFO - Epoch(train) [63][220/1879] lr: 2.0000e-03 eta: 11:36:28 time: 0.5613 data_time: 0.0244 memory: 13723 grad_norm: 4.0137 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7749 loss: 0.7749 2022/08/09 13:22:17 - mmengine - INFO - Epoch(train) [63][240/1879] lr: 2.0000e-03 eta: 11:36:17 time: 0.5722 data_time: 0.0239 memory: 13723 grad_norm: 3.9535 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6079 loss: 0.6079 2022/08/09 13:22:28 - mmengine - INFO - Epoch(train) [63][260/1879] lr: 2.0000e-03 eta: 11:36:05 time: 0.5678 data_time: 0.0248 memory: 13723 grad_norm: 3.9244 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7059 loss: 0.7059 2022/08/09 13:22:40 - mmengine - INFO - Epoch(train) [63][280/1879] lr: 2.0000e-03 eta: 11:35:53 time: 0.5685 data_time: 0.0248 memory: 13723 grad_norm: 4.0349 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7654 loss: 0.7654 2022/08/09 13:22:51 - mmengine - INFO - Epoch(train) [63][300/1879] lr: 2.0000e-03 eta: 11:35:41 time: 0.5722 data_time: 0.0282 memory: 13723 grad_norm: 3.9944 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7457 loss: 0.7457 2022/08/09 13:23:02 - mmengine - INFO - Epoch(train) [63][320/1879] lr: 2.0000e-03 eta: 11:35:29 time: 0.5632 data_time: 0.0235 memory: 13723 grad_norm: 3.9723 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7060 loss: 0.7060 2022/08/09 13:23:14 - mmengine - INFO - Epoch(train) [63][340/1879] lr: 2.0000e-03 eta: 11:35:17 time: 0.5663 data_time: 0.0234 memory: 13723 grad_norm: 4.0297 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8522 loss: 0.8522 2022/08/09 13:23:25 - mmengine - INFO - Epoch(train) [63][360/1879] lr: 2.0000e-03 eta: 11:35:05 time: 0.5599 data_time: 0.0237 memory: 13723 grad_norm: 3.9519 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.7823 loss: 0.7823 2022/08/09 13:23:36 - mmengine - INFO - Epoch(train) [63][380/1879] lr: 2.0000e-03 eta: 11:34:53 time: 0.5704 data_time: 0.0235 memory: 13723 grad_norm: 4.0740 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8130 loss: 0.8130 2022/08/09 13:23:48 - mmengine - INFO - Epoch(train) [63][400/1879] lr: 2.0000e-03 eta: 11:34:41 time: 0.5616 data_time: 0.0239 memory: 13723 grad_norm: 3.9893 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6809 loss: 0.6809 2022/08/09 13:23:59 - mmengine - INFO - Epoch(train) [63][420/1879] lr: 2.0000e-03 eta: 11:34:29 time: 0.5673 data_time: 0.0241 memory: 13723 grad_norm: 3.9976 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7434 loss: 0.7434 2022/08/09 13:24:10 - mmengine - INFO - Epoch(train) [63][440/1879] lr: 2.0000e-03 eta: 11:34:17 time: 0.5642 data_time: 0.0246 memory: 13723 grad_norm: 3.9751 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7108 loss: 0.7108 2022/08/09 13:24:22 - mmengine - INFO - Epoch(train) [63][460/1879] lr: 2.0000e-03 eta: 11:34:05 time: 0.5621 data_time: 0.0243 memory: 13723 grad_norm: 3.9887 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7344 loss: 0.7344 2022/08/09 13:24:33 - mmengine - INFO - Epoch(train) [63][480/1879] lr: 2.0000e-03 eta: 11:33:53 time: 0.5703 data_time: 0.0255 memory: 13723 grad_norm: 4.0975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8051 loss: 0.8051 2022/08/09 13:24:44 - mmengine - INFO - Epoch(train) [63][500/1879] lr: 2.0000e-03 eta: 11:33:41 time: 0.5644 data_time: 0.0244 memory: 13723 grad_norm: 3.8812 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7703 loss: 0.7703 2022/08/09 13:24:46 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 13:24:56 - mmengine - INFO - Epoch(train) [63][520/1879] lr: 2.0000e-03 eta: 11:33:29 time: 0.5719 data_time: 0.0251 memory: 13723 grad_norm: 3.9744 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7202 loss: 0.7202 2022/08/09 13:25:07 - mmengine - INFO - Epoch(train) [63][540/1879] lr: 2.0000e-03 eta: 11:33:17 time: 0.5650 data_time: 0.0261 memory: 13723 grad_norm: 3.9705 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7382 loss: 0.7382 2022/08/09 13:25:19 - mmengine - INFO - Epoch(train) [63][560/1879] lr: 2.0000e-03 eta: 11:33:05 time: 0.5702 data_time: 0.0260 memory: 13723 grad_norm: 4.0096 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7492 loss: 0.7492 2022/08/09 13:25:30 - mmengine - INFO - Epoch(train) [63][580/1879] lr: 2.0000e-03 eta: 11:32:53 time: 0.5720 data_time: 0.0264 memory: 13723 grad_norm: 4.1291 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7883 loss: 0.7883 2022/08/09 13:25:41 - mmengine - INFO - Epoch(train) [63][600/1879] lr: 2.0000e-03 eta: 11:32:41 time: 0.5696 data_time: 0.0266 memory: 13723 grad_norm: 4.1125 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9477 loss: 0.9477 2022/08/09 13:25:53 - mmengine - INFO - Epoch(train) [63][620/1879] lr: 2.0000e-03 eta: 11:32:29 time: 0.5624 data_time: 0.0226 memory: 13723 grad_norm: 4.1539 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7546 loss: 0.7546 2022/08/09 13:26:04 - mmengine - INFO - Epoch(train) [63][640/1879] lr: 2.0000e-03 eta: 11:32:17 time: 0.5656 data_time: 0.0232 memory: 13723 grad_norm: 4.0933 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7782 loss: 0.7782 2022/08/09 13:26:15 - mmengine - INFO - Epoch(train) [63][660/1879] lr: 2.0000e-03 eta: 11:32:05 time: 0.5613 data_time: 0.0234 memory: 13723 grad_norm: 4.0507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8135 loss: 0.8135 2022/08/09 13:26:27 - mmengine - INFO - Epoch(train) [63][680/1879] lr: 2.0000e-03 eta: 11:31:53 time: 0.5660 data_time: 0.0245 memory: 13723 grad_norm: 4.1691 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.8879 loss: 0.8879 2022/08/09 13:26:38 - mmengine - INFO - Epoch(train) [63][700/1879] lr: 2.0000e-03 eta: 11:31:41 time: 0.5637 data_time: 0.0232 memory: 13723 grad_norm: 4.0125 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7808 loss: 0.7808 2022/08/09 13:26:49 - mmengine - INFO - Epoch(train) [63][720/1879] lr: 2.0000e-03 eta: 11:31:29 time: 0.5594 data_time: 0.0245 memory: 13723 grad_norm: 4.0075 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9078 loss: 0.9078 2022/08/09 13:27:00 - mmengine - INFO - Epoch(train) [63][740/1879] lr: 2.0000e-03 eta: 11:31:17 time: 0.5647 data_time: 0.0237 memory: 13723 grad_norm: 3.9721 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8572 loss: 0.8572 2022/08/09 13:27:12 - mmengine - INFO - Epoch(train) [63][760/1879] lr: 2.0000e-03 eta: 11:31:05 time: 0.5638 data_time: 0.0241 memory: 13723 grad_norm: 4.0330 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8390 loss: 0.8390 2022/08/09 13:27:23 - mmengine - INFO - Epoch(train) [63][780/1879] lr: 2.0000e-03 eta: 11:30:53 time: 0.5619 data_time: 0.0235 memory: 13723 grad_norm: 3.9884 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8052 loss: 0.8052 2022/08/09 13:27:34 - mmengine - INFO - Epoch(train) [63][800/1879] lr: 2.0000e-03 eta: 11:30:41 time: 0.5615 data_time: 0.0238 memory: 13723 grad_norm: 3.9128 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7344 loss: 0.7344 2022/08/09 13:27:45 - mmengine - INFO - Epoch(train) [63][820/1879] lr: 2.0000e-03 eta: 11:30:29 time: 0.5669 data_time: 0.0275 memory: 13723 grad_norm: 3.9556 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7126 loss: 0.7126 2022/08/09 13:27:57 - mmengine - INFO - Epoch(train) [63][840/1879] lr: 2.0000e-03 eta: 11:30:17 time: 0.5852 data_time: 0.0373 memory: 13723 grad_norm: 4.0034 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8092 loss: 0.8092 2022/08/09 13:28:09 - mmengine - INFO - Epoch(train) [63][860/1879] lr: 2.0000e-03 eta: 11:30:05 time: 0.5650 data_time: 0.0238 memory: 13723 grad_norm: 4.0940 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8682 loss: 0.8682 2022/08/09 13:28:20 - mmengine - INFO - Epoch(train) [63][880/1879] lr: 2.0000e-03 eta: 11:29:53 time: 0.5649 data_time: 0.0261 memory: 13723 grad_norm: 3.9426 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7895 loss: 0.7895 2022/08/09 13:28:31 - mmengine - INFO - Epoch(train) [63][900/1879] lr: 2.0000e-03 eta: 11:29:41 time: 0.5651 data_time: 0.0256 memory: 13723 grad_norm: 4.0759 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8813 loss: 0.8813 2022/08/09 13:28:42 - mmengine - INFO - Epoch(train) [63][920/1879] lr: 2.0000e-03 eta: 11:29:29 time: 0.5626 data_time: 0.0241 memory: 13723 grad_norm: 3.9915 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6405 loss: 0.6405 2022/08/09 13:28:54 - mmengine - INFO - Epoch(train) [63][940/1879] lr: 2.0000e-03 eta: 11:29:17 time: 0.5712 data_time: 0.0248 memory: 13723 grad_norm: 4.0322 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8658 loss: 0.8658 2022/08/09 13:29:05 - mmengine - INFO - Epoch(train) [63][960/1879] lr: 2.0000e-03 eta: 11:29:05 time: 0.5676 data_time: 0.0242 memory: 13723 grad_norm: 3.9991 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7516 loss: 0.7516 2022/08/09 13:29:17 - mmengine - INFO - Epoch(train) [63][980/1879] lr: 2.0000e-03 eta: 11:28:53 time: 0.5696 data_time: 0.0245 memory: 13723 grad_norm: 3.9242 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6478 loss: 0.6478 2022/08/09 13:29:28 - mmengine - INFO - Epoch(train) [63][1000/1879] lr: 2.0000e-03 eta: 11:28:41 time: 0.5615 data_time: 0.0229 memory: 13723 grad_norm: 4.1467 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8424 loss: 0.8424 2022/08/09 13:29:39 - mmengine - INFO - Epoch(train) [63][1020/1879] lr: 2.0000e-03 eta: 11:28:29 time: 0.5718 data_time: 0.0305 memory: 13723 grad_norm: 4.0486 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8709 loss: 0.8709 2022/08/09 13:29:51 - mmengine - INFO - Epoch(train) [63][1040/1879] lr: 2.0000e-03 eta: 11:28:17 time: 0.5647 data_time: 0.0252 memory: 13723 grad_norm: 3.9247 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6944 loss: 0.6944 2022/08/09 13:30:02 - mmengine - INFO - Epoch(train) [63][1060/1879] lr: 2.0000e-03 eta: 11:28:05 time: 0.5667 data_time: 0.0232 memory: 13723 grad_norm: 4.1878 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9862 loss: 0.9862 2022/08/09 13:30:14 - mmengine - INFO - Epoch(train) [63][1080/1879] lr: 2.0000e-03 eta: 11:27:53 time: 0.6028 data_time: 0.0562 memory: 13723 grad_norm: 3.9974 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8503 loss: 0.8503 2022/08/09 13:30:26 - mmengine - INFO - Epoch(train) [63][1100/1879] lr: 2.0000e-03 eta: 11:27:42 time: 0.6090 data_time: 0.0513 memory: 13723 grad_norm: 4.0377 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7079 loss: 0.7079 2022/08/09 13:30:38 - mmengine - INFO - Epoch(train) [63][1120/1879] lr: 2.0000e-03 eta: 11:27:30 time: 0.5781 data_time: 0.0241 memory: 13723 grad_norm: 3.9980 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8111 loss: 0.8111 2022/08/09 13:30:49 - mmengine - INFO - Epoch(train) [63][1140/1879] lr: 2.0000e-03 eta: 11:27:18 time: 0.5669 data_time: 0.0243 memory: 13723 grad_norm: 4.0311 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7957 loss: 0.7957 2022/08/09 13:31:01 - mmengine - INFO - Epoch(train) [63][1160/1879] lr: 2.0000e-03 eta: 11:27:06 time: 0.5648 data_time: 0.0234 memory: 13723 grad_norm: 4.0920 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7584 loss: 0.7584 2022/08/09 13:31:12 - mmengine - INFO - Epoch(train) [63][1180/1879] lr: 2.0000e-03 eta: 11:26:54 time: 0.5662 data_time: 0.0243 memory: 13723 grad_norm: 4.0414 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9011 loss: 0.9011 2022/08/09 13:31:23 - mmengine - INFO - Epoch(train) [63][1200/1879] lr: 2.0000e-03 eta: 11:26:42 time: 0.5766 data_time: 0.0224 memory: 13723 grad_norm: 4.1573 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9112 loss: 0.9112 2022/08/09 13:31:35 - mmengine - INFO - Epoch(train) [63][1220/1879] lr: 2.0000e-03 eta: 11:26:30 time: 0.5616 data_time: 0.0234 memory: 13723 grad_norm: 4.1558 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7590 loss: 0.7590 2022/08/09 13:31:46 - mmengine - INFO - Epoch(train) [63][1240/1879] lr: 2.0000e-03 eta: 11:26:18 time: 0.5647 data_time: 0.0243 memory: 13723 grad_norm: 4.0226 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7725 loss: 0.7725 2022/08/09 13:31:57 - mmengine - INFO - Epoch(train) [63][1260/1879] lr: 2.0000e-03 eta: 11:26:06 time: 0.5682 data_time: 0.0261 memory: 13723 grad_norm: 3.9096 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7833 loss: 0.7833 2022/08/09 13:32:09 - mmengine - INFO - Epoch(train) [63][1280/1879] lr: 2.0000e-03 eta: 11:25:54 time: 0.5622 data_time: 0.0234 memory: 13723 grad_norm: 3.9943 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8443 loss: 0.8443 2022/08/09 13:32:20 - mmengine - INFO - Epoch(train) [63][1300/1879] lr: 2.0000e-03 eta: 11:25:42 time: 0.5644 data_time: 0.0244 memory: 13723 grad_norm: 3.9765 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7598 loss: 0.7598 2022/08/09 13:32:31 - mmengine - INFO - Epoch(train) [63][1320/1879] lr: 2.0000e-03 eta: 11:25:30 time: 0.5664 data_time: 0.0246 memory: 13723 grad_norm: 3.9567 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8178 loss: 0.8178 2022/08/09 13:32:42 - mmengine - INFO - Epoch(train) [63][1340/1879] lr: 2.0000e-03 eta: 11:25:18 time: 0.5617 data_time: 0.0245 memory: 13723 grad_norm: 3.9785 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7620 loss: 0.7620 2022/08/09 13:32:54 - mmengine - INFO - Epoch(train) [63][1360/1879] lr: 2.0000e-03 eta: 11:25:06 time: 0.5624 data_time: 0.0247 memory: 13723 grad_norm: 3.9704 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8205 loss: 0.8205 2022/08/09 13:33:05 - mmengine - INFO - Epoch(train) [63][1380/1879] lr: 2.0000e-03 eta: 11:24:54 time: 0.5621 data_time: 0.0246 memory: 13723 grad_norm: 4.1198 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8487 loss: 0.8487 2022/08/09 13:33:16 - mmengine - INFO - Epoch(train) [63][1400/1879] lr: 2.0000e-03 eta: 11:24:42 time: 0.5636 data_time: 0.0252 memory: 13723 grad_norm: 3.9960 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6209 loss: 0.6209 2022/08/09 13:33:28 - mmengine - INFO - Epoch(train) [63][1420/1879] lr: 2.0000e-03 eta: 11:24:30 time: 0.5655 data_time: 0.0234 memory: 13723 grad_norm: 4.0041 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7523 loss: 0.7523 2022/08/09 13:33:39 - mmengine - INFO - Epoch(train) [63][1440/1879] lr: 2.0000e-03 eta: 11:24:18 time: 0.5658 data_time: 0.0219 memory: 13723 grad_norm: 4.1829 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8875 loss: 0.8875 2022/08/09 13:33:50 - mmengine - INFO - Epoch(train) [63][1460/1879] lr: 2.0000e-03 eta: 11:24:06 time: 0.5602 data_time: 0.0258 memory: 13723 grad_norm: 4.1452 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7945 loss: 0.7945 2022/08/09 13:34:01 - mmengine - INFO - Epoch(train) [63][1480/1879] lr: 2.0000e-03 eta: 11:23:54 time: 0.5632 data_time: 0.0234 memory: 13723 grad_norm: 4.0969 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8244 loss: 0.8244 2022/08/09 13:34:13 - mmengine - INFO - Epoch(train) [63][1500/1879] lr: 2.0000e-03 eta: 11:23:42 time: 0.5612 data_time: 0.0243 memory: 13723 grad_norm: 4.1163 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7064 loss: 0.7064 2022/08/09 13:34:14 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 13:34:24 - mmengine - INFO - Epoch(train) [63][1520/1879] lr: 2.0000e-03 eta: 11:23:30 time: 0.5636 data_time: 0.0237 memory: 13723 grad_norm: 3.9930 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8305 loss: 0.8305 2022/08/09 13:34:35 - mmengine - INFO - Epoch(train) [63][1540/1879] lr: 2.0000e-03 eta: 11:23:18 time: 0.5640 data_time: 0.0249 memory: 13723 grad_norm: 4.2081 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7414 loss: 0.7414 2022/08/09 13:34:47 - mmengine - INFO - Epoch(train) [63][1560/1879] lr: 2.0000e-03 eta: 11:23:06 time: 0.5655 data_time: 0.0249 memory: 13723 grad_norm: 4.1065 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7448 loss: 0.7448 2022/08/09 13:34:58 - mmengine - INFO - Epoch(train) [63][1580/1879] lr: 2.0000e-03 eta: 11:22:54 time: 0.5684 data_time: 0.0250 memory: 13723 grad_norm: 4.0096 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7225 loss: 0.7225 2022/08/09 13:35:09 - mmengine - INFO - Epoch(train) [63][1600/1879] lr: 2.0000e-03 eta: 11:22:42 time: 0.5721 data_time: 0.0270 memory: 13723 grad_norm: 4.1829 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6647 loss: 0.6647 2022/08/09 13:35:21 - mmengine - INFO - Epoch(train) [63][1620/1879] lr: 2.0000e-03 eta: 11:22:30 time: 0.5848 data_time: 0.0294 memory: 13723 grad_norm: 4.0668 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7868 loss: 0.7868 2022/08/09 13:35:33 - mmengine - INFO - Epoch(train) [63][1640/1879] lr: 2.0000e-03 eta: 11:22:18 time: 0.5716 data_time: 0.0283 memory: 13723 grad_norm: 4.2198 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9576 loss: 0.9576 2022/08/09 13:35:44 - mmengine - INFO - Epoch(train) [63][1660/1879] lr: 2.0000e-03 eta: 11:22:07 time: 0.5660 data_time: 0.0229 memory: 13723 grad_norm: 4.0789 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8055 loss: 0.8055 2022/08/09 13:35:55 - mmengine - INFO - Epoch(train) [63][1680/1879] lr: 2.0000e-03 eta: 11:21:55 time: 0.5644 data_time: 0.0252 memory: 13723 grad_norm: 4.0203 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8133 loss: 0.8133 2022/08/09 13:36:06 - mmengine - INFO - Epoch(train) [63][1700/1879] lr: 2.0000e-03 eta: 11:21:42 time: 0.5632 data_time: 0.0230 memory: 13723 grad_norm: 4.1074 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8835 loss: 0.8835 2022/08/09 13:36:18 - mmengine - INFO - Epoch(train) [63][1720/1879] lr: 2.0000e-03 eta: 11:21:30 time: 0.5611 data_time: 0.0255 memory: 13723 grad_norm: 4.1390 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7131 loss: 0.7131 2022/08/09 13:36:29 - mmengine - INFO - Epoch(train) [63][1740/1879] lr: 2.0000e-03 eta: 11:21:18 time: 0.5609 data_time: 0.0230 memory: 13723 grad_norm: 4.0856 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7762 loss: 0.7762 2022/08/09 13:36:40 - mmengine - INFO - Epoch(train) [63][1760/1879] lr: 2.0000e-03 eta: 11:21:06 time: 0.5673 data_time: 0.0232 memory: 13723 grad_norm: 4.1506 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8297 loss: 0.8297 2022/08/09 13:36:52 - mmengine - INFO - Epoch(train) [63][1780/1879] lr: 2.0000e-03 eta: 11:20:54 time: 0.5686 data_time: 0.0240 memory: 13723 grad_norm: 4.0180 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7527 loss: 0.7527 2022/08/09 13:37:03 - mmengine - INFO - Epoch(train) [63][1800/1879] lr: 2.0000e-03 eta: 11:20:42 time: 0.5630 data_time: 0.0235 memory: 13723 grad_norm: 4.3062 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7457 loss: 0.7457 2022/08/09 13:37:14 - mmengine - INFO - Epoch(train) [63][1820/1879] lr: 2.0000e-03 eta: 11:20:31 time: 0.5675 data_time: 0.0234 memory: 13723 grad_norm: 4.0510 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6938 loss: 0.6938 2022/08/09 13:37:26 - mmengine - INFO - Epoch(train) [63][1840/1879] lr: 2.0000e-03 eta: 11:20:18 time: 0.5627 data_time: 0.0262 memory: 13723 grad_norm: 4.0620 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6239 loss: 0.6239 2022/08/09 13:37:37 - mmengine - INFO - Epoch(train) [63][1860/1879] lr: 2.0000e-03 eta: 11:20:06 time: 0.5639 data_time: 0.0242 memory: 13723 grad_norm: 4.1175 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7770 loss: 0.7770 2022/08/09 13:37:47 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 13:37:47 - mmengine - INFO - Epoch(train) [63][1879/1879] lr: 2.0000e-03 eta: 11:20:06 time: 0.5290 data_time: 0.0170 memory: 13723 grad_norm: 4.2778 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7637 loss: 0.7637 2022/08/09 13:37:47 - mmengine - INFO - Saving checkpoint at 63 epochs 2022/08/09 13:38:03 - mmengine - INFO - Epoch(val) [63][20/155] eta: 0:01:32 time: 0.6874 data_time: 0.5468 memory: 1829 2022/08/09 13:38:12 - mmengine - INFO - Epoch(val) [63][40/155] eta: 0:00:53 time: 0.4626 data_time: 0.3223 memory: 1829 2022/08/09 13:38:24 - mmengine - INFO - Epoch(val) [63][60/155] eta: 0:00:57 time: 0.6072 data_time: 0.4678 memory: 1829 2022/08/09 13:38:34 - mmengine - INFO - Epoch(val) [63][80/155] eta: 0:00:36 time: 0.4880 data_time: 0.3477 memory: 1829 2022/08/09 13:38:47 - mmengine - INFO - Epoch(val) [63][100/155] eta: 0:00:35 time: 0.6424 data_time: 0.5028 memory: 1829 2022/08/09 13:38:55 - mmengine - INFO - Epoch(val) [63][120/155] eta: 0:00:15 time: 0.4351 data_time: 0.2947 memory: 1829 2022/08/09 13:39:07 - mmengine - INFO - Epoch(val) [63][140/155] eta: 0:00:08 time: 0.5921 data_time: 0.4530 memory: 1829 2022/08/09 13:39:14 - mmengine - INFO - Epoch(val) [63][155/155] acc/top1: 0.7149 acc/top5: 0.8975 acc/mean1: 0.7148 2022/08/09 13:39:14 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_100e_kinetics400_rgb/best_acc/top1_epoch_63.pth is removed 2022/08/09 13:39:15 - mmengine - INFO - The best checkpoint with 0.7149 acc/top1 at 64 epoch is saved to best_acc/top1_epoch_64.pth. 2022/08/09 13:39:30 - mmengine - INFO - Epoch(train) [64][20/1879] lr: 2.0000e-03 eta: 11:19:39 time: 0.7485 data_time: 0.1931 memory: 13723 grad_norm: 3.9517 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7293 loss: 0.7293 2022/08/09 13:39:42 - mmengine - INFO - Epoch(train) [64][40/1879] lr: 2.0000e-03 eta: 11:19:27 time: 0.5759 data_time: 0.0243 memory: 13723 grad_norm: 3.9801 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8036 loss: 0.8036 2022/08/09 13:39:54 - mmengine - INFO - Epoch(train) [64][60/1879] lr: 2.0000e-03 eta: 11:19:15 time: 0.5840 data_time: 0.0284 memory: 13723 grad_norm: 3.9115 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9092 loss: 0.9092 2022/08/09 13:40:05 - mmengine - INFO - Epoch(train) [64][80/1879] lr: 2.0000e-03 eta: 11:19:04 time: 0.5848 data_time: 0.0216 memory: 13723 grad_norm: 4.0316 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7055 loss: 0.7055 2022/08/09 13:40:18 - mmengine - INFO - Epoch(train) [64][100/1879] lr: 2.0000e-03 eta: 11:18:52 time: 0.6315 data_time: 0.0817 memory: 13723 grad_norm: 3.9857 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7896 loss: 0.7896 2022/08/09 13:40:29 - mmengine - INFO - Epoch(train) [64][120/1879] lr: 2.0000e-03 eta: 11:18:41 time: 0.5777 data_time: 0.0240 memory: 13723 grad_norm: 3.9065 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8881 loss: 0.8881 2022/08/09 13:40:41 - mmengine - INFO - Epoch(train) [64][140/1879] lr: 2.0000e-03 eta: 11:18:29 time: 0.5797 data_time: 0.0246 memory: 13723 grad_norm: 3.9898 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8175 loss: 0.8175 2022/08/09 13:40:53 - mmengine - INFO - Epoch(train) [64][160/1879] lr: 2.0000e-03 eta: 11:18:17 time: 0.5782 data_time: 0.0250 memory: 13723 grad_norm: 4.0363 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8840 loss: 0.8840 2022/08/09 13:41:04 - mmengine - INFO - Epoch(train) [64][180/1879] lr: 2.0000e-03 eta: 11:18:05 time: 0.5628 data_time: 0.0232 memory: 13723 grad_norm: 3.9867 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6133 loss: 0.6133 2022/08/09 13:41:15 - mmengine - INFO - Epoch(train) [64][200/1879] lr: 2.0000e-03 eta: 11:17:53 time: 0.5694 data_time: 0.0245 memory: 13723 grad_norm: 3.9198 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7451 loss: 0.7451 2022/08/09 13:41:27 - mmengine - INFO - Epoch(train) [64][220/1879] lr: 2.0000e-03 eta: 11:17:41 time: 0.5655 data_time: 0.0251 memory: 13723 grad_norm: 3.8535 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7479 loss: 0.7479 2022/08/09 13:41:38 - mmengine - INFO - Epoch(train) [64][240/1879] lr: 2.0000e-03 eta: 11:17:29 time: 0.5703 data_time: 0.0236 memory: 13723 grad_norm: 4.0789 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8216 loss: 0.8216 2022/08/09 13:41:49 - mmengine - INFO - Epoch(train) [64][260/1879] lr: 2.0000e-03 eta: 11:17:17 time: 0.5608 data_time: 0.0221 memory: 13723 grad_norm: 3.9341 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6865 loss: 0.6865 2022/08/09 13:42:01 - mmengine - INFO - Epoch(train) [64][280/1879] lr: 2.0000e-03 eta: 11:17:05 time: 0.5660 data_time: 0.0236 memory: 13723 grad_norm: 4.1372 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7955 loss: 0.7955 2022/08/09 13:42:12 - mmengine - INFO - Epoch(train) [64][300/1879] lr: 2.0000e-03 eta: 11:16:53 time: 0.5705 data_time: 0.0249 memory: 13723 grad_norm: 4.1203 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8516 loss: 0.8516 2022/08/09 13:42:23 - mmengine - INFO - Epoch(train) [64][320/1879] lr: 2.0000e-03 eta: 11:16:41 time: 0.5675 data_time: 0.0243 memory: 13723 grad_norm: 3.9463 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7660 loss: 0.7660 2022/08/09 13:42:35 - mmengine - INFO - Epoch(train) [64][340/1879] lr: 2.0000e-03 eta: 11:16:29 time: 0.5670 data_time: 0.0255 memory: 13723 grad_norm: 4.0934 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7153 loss: 0.7153 2022/08/09 13:42:46 - mmengine - INFO - Epoch(train) [64][360/1879] lr: 2.0000e-03 eta: 11:16:17 time: 0.5633 data_time: 0.0245 memory: 13723 grad_norm: 4.0851 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7886 loss: 0.7886 2022/08/09 13:42:57 - mmengine - INFO - Epoch(train) [64][380/1879] lr: 2.0000e-03 eta: 11:16:05 time: 0.5648 data_time: 0.0232 memory: 13723 grad_norm: 4.0471 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7986 loss: 0.7986 2022/08/09 13:43:09 - mmengine - INFO - Epoch(train) [64][400/1879] lr: 2.0000e-03 eta: 11:15:53 time: 0.5678 data_time: 0.0245 memory: 13723 grad_norm: 3.9022 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7671 loss: 0.7671 2022/08/09 13:43:20 - mmengine - INFO - Epoch(train) [64][420/1879] lr: 2.0000e-03 eta: 11:15:41 time: 0.5679 data_time: 0.0240 memory: 13723 grad_norm: 4.1015 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7985 loss: 0.7985 2022/08/09 13:43:31 - mmengine - INFO - Epoch(train) [64][440/1879] lr: 2.0000e-03 eta: 11:15:29 time: 0.5672 data_time: 0.0239 memory: 13723 grad_norm: 4.1216 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7586 loss: 0.7586 2022/08/09 13:43:43 - mmengine - INFO - Epoch(train) [64][460/1879] lr: 2.0000e-03 eta: 11:15:17 time: 0.5647 data_time: 0.0231 memory: 13723 grad_norm: 4.0865 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8451 loss: 0.8451 2022/08/09 13:43:54 - mmengine - INFO - Epoch(train) [64][480/1879] lr: 2.0000e-03 eta: 11:15:05 time: 0.5714 data_time: 0.0235 memory: 13723 grad_norm: 4.0814 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8098 loss: 0.8098 2022/08/09 13:44:05 - mmengine - INFO - Epoch(train) [64][500/1879] lr: 2.0000e-03 eta: 11:14:53 time: 0.5610 data_time: 0.0224 memory: 13723 grad_norm: 4.0662 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6220 loss: 0.6220 2022/08/09 13:44:17 - mmengine - INFO - Epoch(train) [64][520/1879] lr: 2.0000e-03 eta: 11:14:41 time: 0.5665 data_time: 0.0236 memory: 13723 grad_norm: 4.0683 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9368 loss: 0.9368 2022/08/09 13:44:28 - mmengine - INFO - Epoch(train) [64][540/1879] lr: 2.0000e-03 eta: 11:14:29 time: 0.5658 data_time: 0.0262 memory: 13723 grad_norm: 3.9750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7496 loss: 0.7496 2022/08/09 13:44:40 - mmengine - INFO - Epoch(train) [64][560/1879] lr: 2.0000e-03 eta: 11:14:17 time: 0.5667 data_time: 0.0235 memory: 13723 grad_norm: 4.0844 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7966 loss: 0.7966 2022/08/09 13:44:51 - mmengine - INFO - Epoch(train) [64][580/1879] lr: 2.0000e-03 eta: 11:14:05 time: 0.5651 data_time: 0.0234 memory: 13723 grad_norm: 3.9192 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8683 loss: 0.8683 2022/08/09 13:45:02 - mmengine - INFO - Epoch(train) [64][600/1879] lr: 2.0000e-03 eta: 11:13:54 time: 0.5688 data_time: 0.0229 memory: 13723 grad_norm: 4.1208 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8856 loss: 0.8856 2022/08/09 13:45:16 - mmengine - INFO - Epoch(train) [64][620/1879] lr: 2.0000e-03 eta: 11:13:43 time: 0.6931 data_time: 0.0823 memory: 13723 grad_norm: 4.1082 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8447 loss: 0.8447 2022/08/09 13:45:18 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 13:45:29 - mmengine - INFO - Epoch(train) [64][640/1879] lr: 2.0000e-03 eta: 11:13:32 time: 0.6233 data_time: 0.0261 memory: 13723 grad_norm: 4.0780 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8933 loss: 0.8933 2022/08/09 13:45:40 - mmengine - INFO - Epoch(train) [64][660/1879] lr: 2.0000e-03 eta: 11:13:20 time: 0.5864 data_time: 0.0258 memory: 13723 grad_norm: 3.9766 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7978 loss: 0.7978 2022/08/09 13:45:52 - mmengine - INFO - Epoch(train) [64][680/1879] lr: 2.0000e-03 eta: 11:13:08 time: 0.5891 data_time: 0.0271 memory: 13723 grad_norm: 4.0048 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6982 loss: 0.6982 2022/08/09 13:46:04 - mmengine - INFO - Epoch(train) [64][700/1879] lr: 2.0000e-03 eta: 11:12:56 time: 0.5734 data_time: 0.0219 memory: 13723 grad_norm: 4.0871 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6209 loss: 0.6209 2022/08/09 13:46:15 - mmengine - INFO - Epoch(train) [64][720/1879] lr: 2.0000e-03 eta: 11:12:44 time: 0.5694 data_time: 0.0235 memory: 13723 grad_norm: 4.0646 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.7410 loss: 0.7410 2022/08/09 13:46:26 - mmengine - INFO - Epoch(train) [64][740/1879] lr: 2.0000e-03 eta: 11:12:32 time: 0.5625 data_time: 0.0239 memory: 13723 grad_norm: 4.1335 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8237 loss: 0.8237 2022/08/09 13:46:38 - mmengine - INFO - Epoch(train) [64][760/1879] lr: 2.0000e-03 eta: 11:12:20 time: 0.5688 data_time: 0.0246 memory: 13723 grad_norm: 4.0713 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8249 loss: 0.8249 2022/08/09 13:46:49 - mmengine - INFO - Epoch(train) [64][780/1879] lr: 2.0000e-03 eta: 11:12:09 time: 0.5690 data_time: 0.0245 memory: 13723 grad_norm: 3.9824 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6952 loss: 0.6952 2022/08/09 13:47:00 - mmengine - INFO - Epoch(train) [64][800/1879] lr: 2.0000e-03 eta: 11:11:57 time: 0.5623 data_time: 0.0229 memory: 13723 grad_norm: 3.9321 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7560 loss: 0.7560 2022/08/09 13:47:12 - mmengine - INFO - Epoch(train) [64][820/1879] lr: 2.0000e-03 eta: 11:11:45 time: 0.5677 data_time: 0.0261 memory: 13723 grad_norm: 4.0265 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8624 loss: 0.8624 2022/08/09 13:48:32 - mmengine - INFO - Epoch(train) [64][840/1879] lr: 2.0000e-03 eta: 11:12:12 time: 4.0249 data_time: 3.4427 memory: 13723 grad_norm: 4.1456 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7779 loss: 0.7779 2022/08/09 13:48:43 - mmengine - INFO - Epoch(train) [64][860/1879] lr: 2.0000e-03 eta: 11:12:00 time: 0.5648 data_time: 0.0246 memory: 13723 grad_norm: 4.0106 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8695 loss: 0.8695 2022/08/09 13:48:55 - mmengine - INFO - Epoch(train) [64][880/1879] lr: 2.0000e-03 eta: 11:11:48 time: 0.5625 data_time: 0.0235 memory: 13723 grad_norm: 3.9953 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7025 loss: 0.7025 2022/08/09 13:49:06 - mmengine - INFO - Epoch(train) [64][900/1879] lr: 2.0000e-03 eta: 11:11:36 time: 0.5691 data_time: 0.0272 memory: 13723 grad_norm: 4.0630 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6489 loss: 0.6489 2022/08/09 13:49:17 - mmengine - INFO - Epoch(train) [64][920/1879] lr: 2.0000e-03 eta: 11:11:24 time: 0.5603 data_time: 0.0233 memory: 13723 grad_norm: 4.0944 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9222 loss: 0.9222 2022/08/09 13:49:29 - mmengine - INFO - Epoch(train) [64][940/1879] lr: 2.0000e-03 eta: 11:11:12 time: 0.5612 data_time: 0.0245 memory: 13723 grad_norm: 4.1569 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7613 loss: 0.7613 2022/08/09 13:49:40 - mmengine - INFO - Epoch(train) [64][960/1879] lr: 2.0000e-03 eta: 11:11:00 time: 0.5686 data_time: 0.0247 memory: 13723 grad_norm: 4.0490 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7959 loss: 0.7959 2022/08/09 13:49:51 - mmengine - INFO - Epoch(train) [64][980/1879] lr: 2.0000e-03 eta: 11:10:48 time: 0.5596 data_time: 0.0244 memory: 13723 grad_norm: 3.9352 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7750 loss: 0.7750 2022/08/09 13:50:03 - mmengine - INFO - Epoch(train) [64][1000/1879] lr: 2.0000e-03 eta: 11:10:36 time: 0.5717 data_time: 0.0246 memory: 13723 grad_norm: 4.1036 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8140 loss: 0.8140 2022/08/09 13:50:16 - mmengine - INFO - Epoch(train) [64][1020/1879] lr: 2.0000e-03 eta: 11:10:26 time: 0.6776 data_time: 0.0536 memory: 13723 grad_norm: 4.1365 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7538 loss: 0.7538 2022/08/09 13:50:29 - mmengine - INFO - Epoch(train) [64][1040/1879] lr: 2.0000e-03 eta: 11:10:14 time: 0.6259 data_time: 0.0423 memory: 13723 grad_norm: 4.1276 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8057 loss: 0.8057 2022/08/09 13:50:41 - mmengine - INFO - Epoch(train) [64][1060/1879] lr: 2.0000e-03 eta: 11:10:03 time: 0.6149 data_time: 0.0265 memory: 13723 grad_norm: 4.0733 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7606 loss: 0.7606 2022/08/09 13:50:53 - mmengine - INFO - Epoch(train) [64][1080/1879] lr: 2.0000e-03 eta: 11:09:51 time: 0.5877 data_time: 0.0269 memory: 13723 grad_norm: 4.0516 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8502 loss: 0.8502 2022/08/09 13:51:05 - mmengine - INFO - Epoch(train) [64][1100/1879] lr: 2.0000e-03 eta: 11:09:39 time: 0.5820 data_time: 0.0253 memory: 13723 grad_norm: 4.0920 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7654 loss: 0.7654 2022/08/09 13:51:16 - mmengine - INFO - Epoch(train) [64][1120/1879] lr: 2.0000e-03 eta: 11:09:27 time: 0.5666 data_time: 0.0236 memory: 13723 grad_norm: 4.1883 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7077 loss: 0.7077 2022/08/09 13:51:27 - mmengine - INFO - Epoch(train) [64][1140/1879] lr: 2.0000e-03 eta: 11:09:15 time: 0.5634 data_time: 0.0234 memory: 13723 grad_norm: 4.0536 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6901 loss: 0.6901 2022/08/09 13:51:39 - mmengine - INFO - Epoch(train) [64][1160/1879] lr: 2.0000e-03 eta: 11:09:04 time: 0.5700 data_time: 0.0245 memory: 13723 grad_norm: 4.0311 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8131 loss: 0.8131 2022/08/09 13:51:50 - mmengine - INFO - Epoch(train) [64][1180/1879] lr: 2.0000e-03 eta: 11:08:51 time: 0.5610 data_time: 0.0227 memory: 13723 grad_norm: 4.1522 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7700 loss: 0.7700 2022/08/09 13:52:01 - mmengine - INFO - Epoch(train) [64][1200/1879] lr: 2.0000e-03 eta: 11:08:40 time: 0.5687 data_time: 0.0252 memory: 13723 grad_norm: 3.9962 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8537 loss: 0.8537 2022/08/09 13:52:12 - mmengine - INFO - Epoch(train) [64][1220/1879] lr: 2.0000e-03 eta: 11:08:28 time: 0.5639 data_time: 0.0231 memory: 13723 grad_norm: 4.0829 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8468 loss: 0.8468 2022/08/09 13:52:24 - mmengine - INFO - Epoch(train) [64][1240/1879] lr: 2.0000e-03 eta: 11:08:15 time: 0.5621 data_time: 0.0244 memory: 13723 grad_norm: 4.0750 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7797 loss: 0.7797 2022/08/09 13:52:35 - mmengine - INFO - Epoch(train) [64][1260/1879] lr: 2.0000e-03 eta: 11:08:04 time: 0.5746 data_time: 0.0263 memory: 13723 grad_norm: 3.9700 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7691 loss: 0.7691 2022/08/09 13:52:47 - mmengine - INFO - Epoch(train) [64][1280/1879] lr: 2.0000e-03 eta: 11:07:52 time: 0.5645 data_time: 0.0265 memory: 13723 grad_norm: 3.9811 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8061 loss: 0.8061 2022/08/09 13:52:58 - mmengine - INFO - Epoch(train) [64][1300/1879] lr: 2.0000e-03 eta: 11:07:40 time: 0.5620 data_time: 0.0221 memory: 13723 grad_norm: 4.0512 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8915 loss: 0.8915 2022/08/09 13:53:09 - mmengine - INFO - Epoch(train) [64][1320/1879] lr: 2.0000e-03 eta: 11:07:28 time: 0.5684 data_time: 0.0276 memory: 13723 grad_norm: 3.9445 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7591 loss: 0.7591 2022/08/09 13:53:21 - mmengine - INFO - Epoch(train) [64][1340/1879] lr: 2.0000e-03 eta: 11:07:16 time: 0.5747 data_time: 0.0243 memory: 13723 grad_norm: 4.0919 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7977 loss: 0.7977 2022/08/09 13:53:32 - mmengine - INFO - Epoch(train) [64][1360/1879] lr: 2.0000e-03 eta: 11:07:04 time: 0.5664 data_time: 0.0230 memory: 13723 grad_norm: 4.0210 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7982 loss: 0.7982 2022/08/09 13:53:44 - mmengine - INFO - Epoch(train) [64][1380/1879] lr: 2.0000e-03 eta: 11:06:52 time: 0.5783 data_time: 0.0228 memory: 13723 grad_norm: 4.0756 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7811 loss: 0.7811 2022/08/09 13:53:55 - mmengine - INFO - Epoch(train) [64][1400/1879] lr: 2.0000e-03 eta: 11:06:40 time: 0.5659 data_time: 0.0270 memory: 13723 grad_norm: 4.0772 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6759 loss: 0.6759 2022/08/09 13:54:06 - mmengine - INFO - Epoch(train) [64][1420/1879] lr: 2.0000e-03 eta: 11:06:28 time: 0.5662 data_time: 0.0231 memory: 13723 grad_norm: 4.1351 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8228 loss: 0.8228 2022/08/09 13:54:18 - mmengine - INFO - Epoch(train) [64][1440/1879] lr: 2.0000e-03 eta: 11:06:16 time: 0.5729 data_time: 0.0271 memory: 13723 grad_norm: 4.0391 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5976 loss: 0.5976 2022/08/09 13:54:29 - mmengine - INFO - Epoch(train) [64][1460/1879] lr: 2.0000e-03 eta: 11:06:04 time: 0.5723 data_time: 0.0270 memory: 13723 grad_norm: 4.0483 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7237 loss: 0.7237 2022/08/09 13:54:41 - mmengine - INFO - Epoch(train) [64][1480/1879] lr: 2.0000e-03 eta: 11:05:52 time: 0.5669 data_time: 0.0233 memory: 13723 grad_norm: 4.1093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9209 loss: 0.9209 2022/08/09 13:54:52 - mmengine - INFO - Epoch(train) [64][1500/1879] lr: 2.0000e-03 eta: 11:05:40 time: 0.5663 data_time: 0.0257 memory: 13723 grad_norm: 4.1847 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9581 loss: 0.9581 2022/08/09 13:55:03 - mmengine - INFO - Epoch(train) [64][1520/1879] lr: 2.0000e-03 eta: 11:05:28 time: 0.5707 data_time: 0.0255 memory: 13723 grad_norm: 4.1261 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8708 loss: 0.8708 2022/08/09 13:55:15 - mmengine - INFO - Epoch(train) [64][1540/1879] lr: 2.0000e-03 eta: 11:05:17 time: 0.5993 data_time: 0.0544 memory: 13723 grad_norm: 4.1742 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8789 loss: 0.8789 2022/08/09 13:55:27 - mmengine - INFO - Epoch(train) [64][1560/1879] lr: 2.0000e-03 eta: 11:05:05 time: 0.5680 data_time: 0.0222 memory: 13723 grad_norm: 3.9868 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8271 loss: 0.8271 2022/08/09 13:55:39 - mmengine - INFO - Epoch(train) [64][1580/1879] lr: 2.0000e-03 eta: 11:04:53 time: 0.5910 data_time: 0.0506 memory: 13723 grad_norm: 4.2145 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7713 loss: 0.7713 2022/08/09 13:55:50 - mmengine - INFO - Epoch(train) [64][1600/1879] lr: 2.0000e-03 eta: 11:04:41 time: 0.5593 data_time: 0.0230 memory: 13723 grad_norm: 4.1940 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8752 loss: 0.8752 2022/08/09 13:56:01 - mmengine - INFO - Epoch(train) [64][1620/1879] lr: 2.0000e-03 eta: 11:04:29 time: 0.5644 data_time: 0.0256 memory: 13723 grad_norm: 4.0645 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7908 loss: 0.7908 2022/08/09 13:56:03 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 13:56:12 - mmengine - INFO - Epoch(train) [64][1640/1879] lr: 2.0000e-03 eta: 11:04:17 time: 0.5653 data_time: 0.0250 memory: 13723 grad_norm: 4.0570 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7498 loss: 0.7498 2022/08/09 13:56:24 - mmengine - INFO - Epoch(train) [64][1660/1879] lr: 2.0000e-03 eta: 11:04:05 time: 0.5665 data_time: 0.0253 memory: 13723 grad_norm: 4.0000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7836 loss: 0.7836 2022/08/09 13:56:35 - mmengine - INFO - Epoch(train) [64][1680/1879] lr: 2.0000e-03 eta: 11:03:53 time: 0.5679 data_time: 0.0241 memory: 13723 grad_norm: 4.0205 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7990 loss: 0.7990 2022/08/09 13:56:46 - mmengine - INFO - Epoch(train) [64][1700/1879] lr: 2.0000e-03 eta: 11:03:41 time: 0.5648 data_time: 0.0226 memory: 13723 grad_norm: 4.1133 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7472 loss: 0.7472 2022/08/09 13:56:58 - mmengine - INFO - Epoch(train) [64][1720/1879] lr: 2.0000e-03 eta: 11:03:29 time: 0.5630 data_time: 0.0239 memory: 13723 grad_norm: 4.1147 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8340 loss: 0.8340 2022/08/09 13:57:09 - mmengine - INFO - Epoch(train) [64][1740/1879] lr: 2.0000e-03 eta: 11:03:17 time: 0.5650 data_time: 0.0232 memory: 13723 grad_norm: 4.1410 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8650 loss: 0.8650 2022/08/09 13:57:20 - mmengine - INFO - Epoch(train) [64][1760/1879] lr: 2.0000e-03 eta: 11:03:05 time: 0.5701 data_time: 0.0253 memory: 13723 grad_norm: 4.1767 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7059 loss: 0.7059 2022/08/09 13:57:32 - mmengine - INFO - Epoch(train) [64][1780/1879] lr: 2.0000e-03 eta: 11:02:53 time: 0.5632 data_time: 0.0243 memory: 13723 grad_norm: 3.9674 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7296 loss: 0.7296 2022/08/09 13:57:43 - mmengine - INFO - Epoch(train) [64][1800/1879] lr: 2.0000e-03 eta: 11:02:41 time: 0.5667 data_time: 0.0238 memory: 13723 grad_norm: 4.2762 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7996 loss: 0.7996 2022/08/09 13:57:55 - mmengine - INFO - Epoch(train) [64][1820/1879] lr: 2.0000e-03 eta: 11:02:29 time: 0.5968 data_time: 0.0293 memory: 13723 grad_norm: 4.2007 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8496 loss: 0.8496 2022/08/09 13:58:06 - mmengine - INFO - Epoch(train) [64][1840/1879] lr: 2.0000e-03 eta: 11:02:17 time: 0.5681 data_time: 0.0228 memory: 13723 grad_norm: 4.1649 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7483 loss: 0.7483 2022/08/09 13:58:18 - mmengine - INFO - Epoch(train) [64][1860/1879] lr: 2.0000e-03 eta: 11:02:05 time: 0.5658 data_time: 0.0241 memory: 13723 grad_norm: 4.1307 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6942 loss: 0.6942 2022/08/09 13:58:28 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 13:58:28 - mmengine - INFO - Epoch(train) [64][1879/1879] lr: 2.0000e-03 eta: 11:02:05 time: 0.5445 data_time: 0.0184 memory: 13723 grad_norm: 4.2515 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.7052 loss: 0.7052 2022/08/09 13:58:42 - mmengine - INFO - Epoch(val) [64][20/155] eta: 0:01:30 time: 0.6698 data_time: 0.5279 memory: 1829 2022/08/09 13:58:50 - mmengine - INFO - Epoch(val) [64][40/155] eta: 0:00:49 time: 0.4282 data_time: 0.2881 memory: 1829 2022/08/09 13:59:02 - mmengine - INFO - Epoch(val) [64][60/155] eta: 0:00:57 time: 0.6072 data_time: 0.4673 memory: 1829 2022/08/09 13:59:12 - mmengine - INFO - Epoch(val) [64][80/155] eta: 0:00:34 time: 0.4631 data_time: 0.3240 memory: 1829 2022/08/09 13:59:24 - mmengine - INFO - Epoch(val) [64][100/155] eta: 0:00:33 time: 0.6098 data_time: 0.4692 memory: 1829 2022/08/09 13:59:33 - mmengine - INFO - Epoch(val) [64][120/155] eta: 0:00:16 time: 0.4734 data_time: 0.3294 memory: 1829 2022/08/09 13:59:47 - mmengine - INFO - Epoch(val) [64][140/155] eta: 0:00:10 time: 0.6688 data_time: 0.5288 memory: 1829 2022/08/09 13:59:54 - mmengine - INFO - Epoch(val) [64][155/155] acc/top1: 0.7107 acc/top5: 0.8969 acc/mean1: 0.7107 2022/08/09 14:00:11 - mmengine - INFO - Epoch(train) [65][20/1879] lr: 2.0000e-03 eta: 11:01:39 time: 0.8343 data_time: 0.2763 memory: 13723 grad_norm: 4.0598 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7702 loss: 0.7702 2022/08/09 14:00:24 - mmengine - INFO - Epoch(train) [65][40/1879] lr: 2.0000e-03 eta: 11:01:28 time: 0.6665 data_time: 0.1107 memory: 13723 grad_norm: 4.0534 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8385 loss: 0.8385 2022/08/09 14:00:36 - mmengine - INFO - Epoch(train) [65][60/1879] lr: 2.0000e-03 eta: 11:01:16 time: 0.5863 data_time: 0.0283 memory: 13723 grad_norm: 4.0245 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9037 loss: 0.9037 2022/08/09 14:00:48 - mmengine - INFO - Epoch(train) [65][80/1879] lr: 2.0000e-03 eta: 11:01:05 time: 0.5735 data_time: 0.0234 memory: 13723 grad_norm: 4.2025 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7768 loss: 0.7768 2022/08/09 14:00:59 - mmengine - INFO - Epoch(train) [65][100/1879] lr: 2.0000e-03 eta: 11:00:53 time: 0.5724 data_time: 0.0259 memory: 13723 grad_norm: 3.9769 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6613 loss: 0.6613 2022/08/09 14:01:10 - mmengine - INFO - Epoch(train) [65][120/1879] lr: 2.0000e-03 eta: 11:00:41 time: 0.5661 data_time: 0.0232 memory: 13723 grad_norm: 3.9220 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7019 loss: 0.7019 2022/08/09 14:01:22 - mmengine - INFO - Epoch(train) [65][140/1879] lr: 2.0000e-03 eta: 11:00:29 time: 0.5835 data_time: 0.0223 memory: 13723 grad_norm: 4.0151 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7332 loss: 0.7332 2022/08/09 14:01:33 - mmengine - INFO - Epoch(train) [65][160/1879] lr: 2.0000e-03 eta: 11:00:17 time: 0.5650 data_time: 0.0237 memory: 13723 grad_norm: 3.9973 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.7801 loss: 0.7801 2022/08/09 14:01:45 - mmengine - INFO - Epoch(train) [65][180/1879] lr: 2.0000e-03 eta: 11:00:05 time: 0.5897 data_time: 0.0489 memory: 13723 grad_norm: 4.1519 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8667 loss: 0.8667 2022/08/09 14:01:57 - mmengine - INFO - Epoch(train) [65][200/1879] lr: 2.0000e-03 eta: 10:59:53 time: 0.5650 data_time: 0.0233 memory: 13723 grad_norm: 4.0589 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7923 loss: 0.7923 2022/08/09 14:02:08 - mmengine - INFO - Epoch(train) [65][220/1879] lr: 2.0000e-03 eta: 10:59:41 time: 0.5662 data_time: 0.0248 memory: 13723 grad_norm: 4.1527 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6985 loss: 0.6985 2022/08/09 14:02:19 - mmengine - INFO - Epoch(train) [65][240/1879] lr: 2.0000e-03 eta: 10:59:29 time: 0.5697 data_time: 0.0238 memory: 13723 grad_norm: 4.1420 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8382 loss: 0.8382 2022/08/09 14:02:31 - mmengine - INFO - Epoch(train) [65][260/1879] lr: 2.0000e-03 eta: 10:59:17 time: 0.5656 data_time: 0.0232 memory: 13723 grad_norm: 4.0173 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8359 loss: 0.8359 2022/08/09 14:02:42 - mmengine - INFO - Epoch(train) [65][280/1879] lr: 2.0000e-03 eta: 10:59:05 time: 0.5658 data_time: 0.0233 memory: 13723 grad_norm: 4.0983 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9275 loss: 0.9275 2022/08/09 14:02:53 - mmengine - INFO - Epoch(train) [65][300/1879] lr: 2.0000e-03 eta: 10:58:53 time: 0.5719 data_time: 0.0250 memory: 13723 grad_norm: 4.1151 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5914 loss: 0.5914 2022/08/09 14:03:05 - mmengine - INFO - Epoch(train) [65][320/1879] lr: 2.0000e-03 eta: 10:58:42 time: 0.5674 data_time: 0.0255 memory: 13723 grad_norm: 4.0992 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6791 loss: 0.6791 2022/08/09 14:03:16 - mmengine - INFO - Epoch(train) [65][340/1879] lr: 2.0000e-03 eta: 10:58:30 time: 0.5670 data_time: 0.0256 memory: 13723 grad_norm: 4.0957 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7934 loss: 0.7934 2022/08/09 14:03:27 - mmengine - INFO - Epoch(train) [65][360/1879] lr: 2.0000e-03 eta: 10:58:18 time: 0.5641 data_time: 0.0256 memory: 13723 grad_norm: 4.2612 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8857 loss: 0.8857 2022/08/09 14:03:39 - mmengine - INFO - Epoch(train) [65][380/1879] lr: 2.0000e-03 eta: 10:58:06 time: 0.5640 data_time: 0.0238 memory: 13723 grad_norm: 3.9595 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6506 loss: 0.6506 2022/08/09 14:03:50 - mmengine - INFO - Epoch(train) [65][400/1879] lr: 2.0000e-03 eta: 10:57:54 time: 0.5664 data_time: 0.0239 memory: 13723 grad_norm: 3.8705 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8567 loss: 0.8567 2022/08/09 14:04:02 - mmengine - INFO - Epoch(train) [65][420/1879] lr: 2.0000e-03 eta: 10:57:42 time: 0.5815 data_time: 0.0432 memory: 13723 grad_norm: 3.8619 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7177 loss: 0.7177 2022/08/09 14:04:13 - mmengine - INFO - Epoch(train) [65][440/1879] lr: 2.0000e-03 eta: 10:57:30 time: 0.5631 data_time: 0.0236 memory: 13723 grad_norm: 4.0690 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7259 loss: 0.7259 2022/08/09 14:04:24 - mmengine - INFO - Epoch(train) [65][460/1879] lr: 2.0000e-03 eta: 10:57:18 time: 0.5672 data_time: 0.0236 memory: 13723 grad_norm: 4.0651 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8240 loss: 0.8240 2022/08/09 14:04:36 - mmengine - INFO - Epoch(train) [65][480/1879] lr: 2.0000e-03 eta: 10:57:06 time: 0.5704 data_time: 0.0248 memory: 13723 grad_norm: 4.0445 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7426 loss: 0.7426 2022/08/09 14:04:47 - mmengine - INFO - Epoch(train) [65][500/1879] lr: 2.0000e-03 eta: 10:56:54 time: 0.5597 data_time: 0.0234 memory: 13723 grad_norm: 3.9693 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7718 loss: 0.7718 2022/08/09 14:04:58 - mmengine - INFO - Epoch(train) [65][520/1879] lr: 2.0000e-03 eta: 10:56:42 time: 0.5699 data_time: 0.0264 memory: 13723 grad_norm: 4.0819 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7466 loss: 0.7466 2022/08/09 14:05:10 - mmengine - INFO - Epoch(train) [65][540/1879] lr: 2.0000e-03 eta: 10:56:30 time: 0.5581 data_time: 0.0175 memory: 13723 grad_norm: 4.0913 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7245 loss: 0.7245 2022/08/09 14:05:22 - mmengine - INFO - Epoch(train) [65][560/1879] lr: 2.0000e-03 eta: 10:56:19 time: 0.6418 data_time: 0.0594 memory: 13723 grad_norm: 4.1408 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8345 loss: 0.8345 2022/08/09 14:05:34 - mmengine - INFO - Epoch(train) [65][580/1879] lr: 2.0000e-03 eta: 10:56:07 time: 0.5754 data_time: 0.0244 memory: 13723 grad_norm: 4.0524 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9745 loss: 0.9745 2022/08/09 14:05:46 - mmengine - INFO - Epoch(train) [65][600/1879] lr: 2.0000e-03 eta: 10:55:55 time: 0.5837 data_time: 0.0258 memory: 13723 grad_norm: 4.0824 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7910 loss: 0.7910 2022/08/09 14:05:57 - mmengine - INFO - Epoch(train) [65][620/1879] lr: 2.0000e-03 eta: 10:55:43 time: 0.5869 data_time: 0.0260 memory: 13723 grad_norm: 4.1934 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8312 loss: 0.8312 2022/08/09 14:06:09 - mmengine - INFO - Epoch(train) [65][640/1879] lr: 2.0000e-03 eta: 10:55:32 time: 0.5812 data_time: 0.0247 memory: 13723 grad_norm: 4.2537 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8048 loss: 0.8048 2022/08/09 14:06:20 - mmengine - INFO - Epoch(train) [65][660/1879] lr: 2.0000e-03 eta: 10:55:20 time: 0.5688 data_time: 0.0237 memory: 13723 grad_norm: 3.9856 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6505 loss: 0.6505 2022/08/09 14:06:32 - mmengine - INFO - Epoch(train) [65][680/1879] lr: 2.0000e-03 eta: 10:55:08 time: 0.5669 data_time: 0.0260 memory: 13723 grad_norm: 4.2100 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7919 loss: 0.7919 2022/08/09 14:06:43 - mmengine - INFO - Epoch(train) [65][700/1879] lr: 2.0000e-03 eta: 10:54:56 time: 0.5629 data_time: 0.0233 memory: 13723 grad_norm: 3.9918 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7455 loss: 0.7455 2022/08/09 14:06:54 - mmengine - INFO - Epoch(train) [65][720/1879] lr: 2.0000e-03 eta: 10:54:44 time: 0.5660 data_time: 0.0237 memory: 13723 grad_norm: 4.2964 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7466 loss: 0.7466 2022/08/09 14:07:06 - mmengine - INFO - Epoch(train) [65][740/1879] lr: 2.0000e-03 eta: 10:54:32 time: 0.5666 data_time: 0.0280 memory: 13723 grad_norm: 4.1713 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8449 loss: 0.8449 2022/08/09 14:07:08 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 14:07:17 - mmengine - INFO - Epoch(train) [65][760/1879] lr: 2.0000e-03 eta: 10:54:20 time: 0.5689 data_time: 0.0226 memory: 13723 grad_norm: 4.0847 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7196 loss: 0.7196 2022/08/09 14:07:29 - mmengine - INFO - Epoch(train) [65][780/1879] lr: 2.0000e-03 eta: 10:54:08 time: 0.5855 data_time: 0.0526 memory: 13723 grad_norm: 4.1815 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9013 loss: 0.9013 2022/08/09 14:07:40 - mmengine - INFO - Epoch(train) [65][800/1879] lr: 2.0000e-03 eta: 10:53:56 time: 0.5661 data_time: 0.0249 memory: 13723 grad_norm: 4.1211 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7572 loss: 0.7572 2022/08/09 14:07:52 - mmengine - INFO - Epoch(train) [65][820/1879] lr: 2.0000e-03 eta: 10:53:44 time: 0.5712 data_time: 0.0224 memory: 13723 grad_norm: 4.2469 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8306 loss: 0.8306 2022/08/09 14:08:03 - mmengine - INFO - Epoch(train) [65][840/1879] lr: 2.0000e-03 eta: 10:53:32 time: 0.5729 data_time: 0.0251 memory: 13723 grad_norm: 4.1132 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6687 loss: 0.6687 2022/08/09 14:08:15 - mmengine - INFO - Epoch(train) [65][860/1879] lr: 2.0000e-03 eta: 10:53:20 time: 0.5723 data_time: 0.0246 memory: 13723 grad_norm: 4.0239 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7523 loss: 0.7523 2022/08/09 14:08:26 - mmengine - INFO - Epoch(train) [65][880/1879] lr: 2.0000e-03 eta: 10:53:08 time: 0.5638 data_time: 0.0228 memory: 13723 grad_norm: 3.9287 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7822 loss: 0.7822 2022/08/09 14:08:37 - mmengine - INFO - Epoch(train) [65][900/1879] lr: 2.0000e-03 eta: 10:52:56 time: 0.5703 data_time: 0.0245 memory: 13723 grad_norm: 4.0638 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8300 loss: 0.8300 2022/08/09 14:08:49 - mmengine - INFO - Epoch(train) [65][920/1879] lr: 2.0000e-03 eta: 10:52:44 time: 0.5643 data_time: 0.0234 memory: 13723 grad_norm: 4.1538 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8662 loss: 0.8662 2022/08/09 14:09:00 - mmengine - INFO - Epoch(train) [65][940/1879] lr: 2.0000e-03 eta: 10:52:32 time: 0.5642 data_time: 0.0246 memory: 13723 grad_norm: 4.1292 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8673 loss: 0.8673 2022/08/09 14:09:11 - mmengine - INFO - Epoch(train) [65][960/1879] lr: 2.0000e-03 eta: 10:52:20 time: 0.5672 data_time: 0.0237 memory: 13723 grad_norm: 4.1474 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6564 loss: 0.6564 2022/08/09 14:09:23 - mmengine - INFO - Epoch(train) [65][980/1879] lr: 2.0000e-03 eta: 10:52:08 time: 0.5666 data_time: 0.0231 memory: 13723 grad_norm: 3.9248 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7898 loss: 0.7898 2022/08/09 14:09:34 - mmengine - INFO - Epoch(train) [65][1000/1879] lr: 2.0000e-03 eta: 10:51:57 time: 0.5728 data_time: 0.0238 memory: 13723 grad_norm: 4.2304 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7637 loss: 0.7637 2022/08/09 14:09:45 - mmengine - INFO - Epoch(train) [65][1020/1879] lr: 2.0000e-03 eta: 10:51:45 time: 0.5637 data_time: 0.0233 memory: 13723 grad_norm: 3.9449 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6968 loss: 0.6968 2022/08/09 14:09:57 - mmengine - INFO - Epoch(train) [65][1040/1879] lr: 2.0000e-03 eta: 10:51:33 time: 0.5736 data_time: 0.0229 memory: 13723 grad_norm: 4.1294 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6656 loss: 0.6656 2022/08/09 14:10:08 - mmengine - INFO - Epoch(train) [65][1060/1879] lr: 2.0000e-03 eta: 10:51:21 time: 0.5540 data_time: 0.0209 memory: 13723 grad_norm: 4.1824 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8898 loss: 0.8898 2022/08/09 14:10:22 - mmengine - INFO - Epoch(train) [65][1080/1879] lr: 2.0000e-03 eta: 10:51:10 time: 0.6806 data_time: 0.0275 memory: 13723 grad_norm: 4.1228 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7704 loss: 0.7704 2022/08/09 14:10:35 - mmengine - INFO - Epoch(train) [65][1100/1879] lr: 2.0000e-03 eta: 10:50:59 time: 0.6585 data_time: 0.0281 memory: 13723 grad_norm: 4.1275 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8315 loss: 0.8315 2022/08/09 14:10:47 - mmengine - INFO - Epoch(train) [65][1120/1879] lr: 2.0000e-03 eta: 10:50:47 time: 0.6020 data_time: 0.0459 memory: 13723 grad_norm: 4.1490 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7093 loss: 0.7093 2022/08/09 14:10:59 - mmengine - INFO - Epoch(train) [65][1140/1879] lr: 2.0000e-03 eta: 10:50:36 time: 0.5839 data_time: 0.0257 memory: 13723 grad_norm: 4.2552 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7272 loss: 0.7272 2022/08/09 14:11:10 - mmengine - INFO - Epoch(train) [65][1160/1879] lr: 2.0000e-03 eta: 10:50:24 time: 0.5636 data_time: 0.0252 memory: 13723 grad_norm: 4.1284 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8338 loss: 0.8338 2022/08/09 14:11:21 - mmengine - INFO - Epoch(train) [65][1180/1879] lr: 2.0000e-03 eta: 10:50:12 time: 0.5630 data_time: 0.0244 memory: 13723 grad_norm: 4.2428 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8054 loss: 0.8054 2022/08/09 14:11:32 - mmengine - INFO - Epoch(train) [65][1200/1879] lr: 2.0000e-03 eta: 10:50:00 time: 0.5650 data_time: 0.0238 memory: 13723 grad_norm: 3.9883 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7221 loss: 0.7221 2022/08/09 14:11:44 - mmengine - INFO - Epoch(train) [65][1220/1879] lr: 2.0000e-03 eta: 10:49:48 time: 0.5674 data_time: 0.0236 memory: 13723 grad_norm: 4.1668 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7847 loss: 0.7847 2022/08/09 14:11:55 - mmengine - INFO - Epoch(train) [65][1240/1879] lr: 2.0000e-03 eta: 10:49:36 time: 0.5629 data_time: 0.0250 memory: 13723 grad_norm: 4.2200 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8333 loss: 0.8333 2022/08/09 14:12:07 - mmengine - INFO - Epoch(train) [65][1260/1879] lr: 2.0000e-03 eta: 10:49:24 time: 0.5721 data_time: 0.0249 memory: 13723 grad_norm: 4.1137 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7319 loss: 0.7319 2022/08/09 14:12:18 - mmengine - INFO - Epoch(train) [65][1280/1879] lr: 2.0000e-03 eta: 10:49:12 time: 0.5618 data_time: 0.0239 memory: 13723 grad_norm: 4.1188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9482 loss: 0.9482 2022/08/09 14:12:29 - mmengine - INFO - Epoch(train) [65][1300/1879] lr: 2.0000e-03 eta: 10:49:00 time: 0.5633 data_time: 0.0251 memory: 13723 grad_norm: 4.1117 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6658 loss: 0.6658 2022/08/09 14:12:40 - mmengine - INFO - Epoch(train) [65][1320/1879] lr: 2.0000e-03 eta: 10:48:48 time: 0.5656 data_time: 0.0233 memory: 13723 grad_norm: 4.0855 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8315 loss: 0.8315 2022/08/09 14:12:52 - mmengine - INFO - Epoch(train) [65][1340/1879] lr: 2.0000e-03 eta: 10:48:36 time: 0.5690 data_time: 0.0240 memory: 13723 grad_norm: 4.1086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6324 loss: 0.6324 2022/08/09 14:13:03 - mmengine - INFO - Epoch(train) [65][1360/1879] lr: 2.0000e-03 eta: 10:48:24 time: 0.5602 data_time: 0.0230 memory: 13723 grad_norm: 4.1462 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8645 loss: 0.8645 2022/08/09 14:13:14 - mmengine - INFO - Epoch(train) [65][1380/1879] lr: 2.0000e-03 eta: 10:48:12 time: 0.5660 data_time: 0.0225 memory: 13723 grad_norm: 4.1047 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7331 loss: 0.7331 2022/08/09 14:13:26 - mmengine - INFO - Epoch(train) [65][1400/1879] lr: 2.0000e-03 eta: 10:48:00 time: 0.5748 data_time: 0.0232 memory: 13723 grad_norm: 4.0616 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5953 loss: 0.5953 2022/08/09 14:13:37 - mmengine - INFO - Epoch(train) [65][1420/1879] lr: 2.0000e-03 eta: 10:47:48 time: 0.5735 data_time: 0.0233 memory: 13723 grad_norm: 4.1021 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8749 loss: 0.8749 2022/08/09 14:13:49 - mmengine - INFO - Epoch(train) [65][1440/1879] lr: 2.0000e-03 eta: 10:47:36 time: 0.5690 data_time: 0.0275 memory: 13723 grad_norm: 4.1709 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8350 loss: 0.8350 2022/08/09 14:14:00 - mmengine - INFO - Epoch(train) [65][1460/1879] lr: 2.0000e-03 eta: 10:47:24 time: 0.5690 data_time: 0.0216 memory: 13723 grad_norm: 4.1930 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9721 loss: 0.9721 2022/08/09 14:14:12 - mmengine - INFO - Epoch(train) [65][1480/1879] lr: 2.0000e-03 eta: 10:47:12 time: 0.5747 data_time: 0.0303 memory: 13723 grad_norm: 4.0941 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7398 loss: 0.7398 2022/08/09 14:14:23 - mmengine - INFO - Epoch(train) [65][1500/1879] lr: 2.0000e-03 eta: 10:47:00 time: 0.5725 data_time: 0.0226 memory: 13723 grad_norm: 4.2862 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8701 loss: 0.8701 2022/08/09 14:14:35 - mmengine - INFO - Epoch(train) [65][1520/1879] lr: 2.0000e-03 eta: 10:46:49 time: 0.5709 data_time: 0.0229 memory: 13723 grad_norm: 4.0253 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7488 loss: 0.7488 2022/08/09 14:14:46 - mmengine - INFO - Epoch(train) [65][1540/1879] lr: 2.0000e-03 eta: 10:46:37 time: 0.5625 data_time: 0.0233 memory: 13723 grad_norm: 4.2005 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6838 loss: 0.6838 2022/08/09 14:14:57 - mmengine - INFO - Epoch(train) [65][1560/1879] lr: 2.0000e-03 eta: 10:46:25 time: 0.5764 data_time: 0.0236 memory: 13723 grad_norm: 4.1008 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8637 loss: 0.8637 2022/08/09 14:15:09 - mmengine - INFO - Epoch(train) [65][1580/1879] lr: 2.0000e-03 eta: 10:46:13 time: 0.5678 data_time: 0.0199 memory: 13723 grad_norm: 4.1368 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8161 loss: 0.8161 2022/08/09 14:15:21 - mmengine - INFO - Epoch(train) [65][1600/1879] lr: 2.0000e-03 eta: 10:46:01 time: 0.6044 data_time: 0.0463 memory: 13723 grad_norm: 4.1477 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9288 loss: 0.9288 2022/08/09 14:15:33 - mmengine - INFO - Epoch(train) [65][1620/1879] lr: 2.0000e-03 eta: 10:45:50 time: 0.6202 data_time: 0.0248 memory: 13723 grad_norm: 4.0832 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8274 loss: 0.8274 2022/08/09 14:15:46 - mmengine - INFO - Epoch(train) [65][1640/1879] lr: 2.0000e-03 eta: 10:45:39 time: 0.6576 data_time: 0.0764 memory: 13723 grad_norm: 4.0376 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6699 loss: 0.6699 2022/08/09 14:15:58 - mmengine - INFO - Epoch(train) [65][1660/1879] lr: 2.0000e-03 eta: 10:45:27 time: 0.5745 data_time: 0.0193 memory: 13723 grad_norm: 4.1598 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8080 loss: 0.8080 2022/08/09 14:16:10 - mmengine - INFO - Epoch(train) [65][1680/1879] lr: 2.0000e-03 eta: 10:45:15 time: 0.5807 data_time: 0.0246 memory: 13723 grad_norm: 4.0620 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7387 loss: 0.7387 2022/08/09 14:16:21 - mmengine - INFO - Epoch(train) [65][1700/1879] lr: 2.0000e-03 eta: 10:45:03 time: 0.5729 data_time: 0.0226 memory: 13723 grad_norm: 4.1304 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8842 loss: 0.8842 2022/08/09 14:16:33 - mmengine - INFO - Epoch(train) [65][1720/1879] lr: 2.0000e-03 eta: 10:44:51 time: 0.5836 data_time: 0.0252 memory: 13723 grad_norm: 4.0735 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9132 loss: 0.9132 2022/08/09 14:16:44 - mmengine - INFO - Epoch(train) [65][1740/1879] lr: 2.0000e-03 eta: 10:44:40 time: 0.5703 data_time: 0.0206 memory: 13723 grad_norm: 4.1311 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8386 loss: 0.8386 2022/08/09 14:16:46 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 14:16:57 - mmengine - INFO - Epoch(train) [65][1760/1879] lr: 2.0000e-03 eta: 10:44:28 time: 0.6208 data_time: 0.0234 memory: 13723 grad_norm: 4.0790 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8224 loss: 0.8224 2022/08/09 14:17:08 - mmengine - INFO - Epoch(train) [65][1780/1879] lr: 2.0000e-03 eta: 10:44:16 time: 0.5748 data_time: 0.0241 memory: 13723 grad_norm: 4.1637 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8891 loss: 0.8891 2022/08/09 14:17:20 - mmengine - INFO - Epoch(train) [65][1800/1879] lr: 2.0000e-03 eta: 10:44:04 time: 0.5763 data_time: 0.0235 memory: 13723 grad_norm: 4.1275 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6752 loss: 0.6752 2022/08/09 14:17:31 - mmengine - INFO - Epoch(train) [65][1820/1879] lr: 2.0000e-03 eta: 10:43:53 time: 0.5760 data_time: 0.0223 memory: 13723 grad_norm: 3.9719 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7011 loss: 0.7011 2022/08/09 14:17:43 - mmengine - INFO - Epoch(train) [65][1840/1879] lr: 2.0000e-03 eta: 10:43:41 time: 0.5726 data_time: 0.0227 memory: 13723 grad_norm: 4.0919 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7495 loss: 0.7495 2022/08/09 14:17:54 - mmengine - INFO - Epoch(train) [65][1860/1879] lr: 2.0000e-03 eta: 10:43:29 time: 0.5901 data_time: 0.0252 memory: 13723 grad_norm: 4.0560 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8938 loss: 0.8938 2022/08/09 14:18:05 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 14:18:05 - mmengine - INFO - Epoch(train) [65][1879/1879] lr: 2.0000e-03 eta: 10:43:29 time: 0.5357 data_time: 0.0180 memory: 13723 grad_norm: 4.2409 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 0.7271 loss: 0.7271 2022/08/09 14:18:18 - mmengine - INFO - Epoch(val) [65][20/155] eta: 0:01:32 time: 0.6818 data_time: 0.5409 memory: 1829 2022/08/09 14:18:27 - mmengine - INFO - Epoch(val) [65][40/155] eta: 0:00:49 time: 0.4315 data_time: 0.2905 memory: 1829 2022/08/09 14:18:39 - mmengine - INFO - Epoch(val) [65][60/155] eta: 0:00:58 time: 0.6108 data_time: 0.4697 memory: 1829 2022/08/09 14:18:48 - mmengine - INFO - Epoch(val) [65][80/155] eta: 0:00:34 time: 0.4616 data_time: 0.3203 memory: 1829 2022/08/09 14:19:01 - mmengine - INFO - Epoch(val) [65][100/155] eta: 0:00:34 time: 0.6332 data_time: 0.4937 memory: 1829 2022/08/09 14:19:10 - mmengine - INFO - Epoch(val) [65][120/155] eta: 0:00:15 time: 0.4388 data_time: 0.2988 memory: 1829 2022/08/09 14:19:23 - mmengine - INFO - Epoch(val) [65][140/155] eta: 0:00:10 time: 0.6813 data_time: 0.5421 memory: 1829 2022/08/09 14:19:31 - mmengine - INFO - Epoch(val) [65][155/155] acc/top1: 0.7106 acc/top5: 0.8974 acc/mean1: 0.7105 2022/08/09 14:19:47 - mmengine - INFO - Epoch(train) [66][20/1879] lr: 2.0000e-03 eta: 10:43:02 time: 0.7841 data_time: 0.2206 memory: 13723 grad_norm: 3.9368 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7668 loss: 0.7668 2022/08/09 14:19:58 - mmengine - INFO - Epoch(train) [66][40/1879] lr: 2.0000e-03 eta: 10:42:50 time: 0.5718 data_time: 0.0234 memory: 13723 grad_norm: 4.1354 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8079 loss: 0.8079 2022/08/09 14:20:12 - mmengine - INFO - Epoch(train) [66][60/1879] lr: 2.0000e-03 eta: 10:42:40 time: 0.7171 data_time: 0.0251 memory: 13723 grad_norm: 4.1512 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7927 loss: 0.7927 2022/08/09 14:20:24 - mmengine - INFO - Epoch(train) [66][80/1879] lr: 2.0000e-03 eta: 10:42:28 time: 0.5886 data_time: 0.0270 memory: 13723 grad_norm: 3.9820 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8149 loss: 0.8149 2022/08/09 14:20:36 - mmengine - INFO - Epoch(train) [66][100/1879] lr: 2.0000e-03 eta: 10:42:17 time: 0.6043 data_time: 0.0274 memory: 13723 grad_norm: 4.0646 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6341 loss: 0.6341 2022/08/09 14:20:49 - mmengine - INFO - Epoch(train) [66][120/1879] lr: 2.0000e-03 eta: 10:42:05 time: 0.6147 data_time: 0.0232 memory: 13723 grad_norm: 4.1311 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6465 loss: 0.6465 2022/08/09 14:21:00 - mmengine - INFO - Epoch(train) [66][140/1879] lr: 2.0000e-03 eta: 10:41:53 time: 0.5676 data_time: 0.0216 memory: 13723 grad_norm: 4.0407 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9295 loss: 0.9295 2022/08/09 14:21:11 - mmengine - INFO - Epoch(train) [66][160/1879] lr: 2.0000e-03 eta: 10:41:41 time: 0.5688 data_time: 0.0247 memory: 13723 grad_norm: 3.9002 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6834 loss: 0.6834 2022/08/09 14:21:23 - mmengine - INFO - Epoch(train) [66][180/1879] lr: 2.0000e-03 eta: 10:41:29 time: 0.5630 data_time: 0.0264 memory: 13723 grad_norm: 4.0944 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7495 loss: 0.7495 2022/08/09 14:21:34 - mmengine - INFO - Epoch(train) [66][200/1879] lr: 2.0000e-03 eta: 10:41:18 time: 0.5713 data_time: 0.0287 memory: 13723 grad_norm: 4.1011 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7470 loss: 0.7470 2022/08/09 14:21:45 - mmengine - INFO - Epoch(train) [66][220/1879] lr: 2.0000e-03 eta: 10:41:06 time: 0.5615 data_time: 0.0235 memory: 13723 grad_norm: 4.1252 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9491 loss: 0.9491 2022/08/09 14:21:57 - mmengine - INFO - Epoch(train) [66][240/1879] lr: 2.0000e-03 eta: 10:40:54 time: 0.5662 data_time: 0.0242 memory: 13723 grad_norm: 4.2026 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7153 loss: 0.7153 2022/08/09 14:22:08 - mmengine - INFO - Epoch(train) [66][260/1879] lr: 2.0000e-03 eta: 10:40:42 time: 0.5642 data_time: 0.0251 memory: 13723 grad_norm: 4.0827 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8828 loss: 0.8828 2022/08/09 14:22:19 - mmengine - INFO - Epoch(train) [66][280/1879] lr: 2.0000e-03 eta: 10:40:30 time: 0.5647 data_time: 0.0246 memory: 13723 grad_norm: 4.0915 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6885 loss: 0.6885 2022/08/09 14:22:31 - mmengine - INFO - Epoch(train) [66][300/1879] lr: 2.0000e-03 eta: 10:40:18 time: 0.5683 data_time: 0.0222 memory: 13723 grad_norm: 4.2707 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7444 loss: 0.7444 2022/08/09 14:22:42 - mmengine - INFO - Epoch(train) [66][320/1879] lr: 2.0000e-03 eta: 10:40:06 time: 0.5689 data_time: 0.0246 memory: 13723 grad_norm: 4.0862 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8731 loss: 0.8731 2022/08/09 14:22:53 - mmengine - INFO - Epoch(train) [66][340/1879] lr: 2.0000e-03 eta: 10:39:54 time: 0.5644 data_time: 0.0239 memory: 13723 grad_norm: 4.1586 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7451 loss: 0.7451 2022/08/09 14:23:05 - mmengine - INFO - Epoch(train) [66][360/1879] lr: 2.0000e-03 eta: 10:39:42 time: 0.5667 data_time: 0.0270 memory: 13723 grad_norm: 4.0537 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8645 loss: 0.8645 2022/08/09 14:23:16 - mmengine - INFO - Epoch(train) [66][380/1879] lr: 2.0000e-03 eta: 10:39:30 time: 0.5657 data_time: 0.0260 memory: 13723 grad_norm: 4.1666 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7174 loss: 0.7174 2022/08/09 14:23:27 - mmengine - INFO - Epoch(train) [66][400/1879] lr: 2.0000e-03 eta: 10:39:18 time: 0.5691 data_time: 0.0290 memory: 13723 grad_norm: 4.1290 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8676 loss: 0.8676 2022/08/09 14:23:39 - mmengine - INFO - Epoch(train) [66][420/1879] lr: 2.0000e-03 eta: 10:39:06 time: 0.5638 data_time: 0.0221 memory: 13723 grad_norm: 4.1141 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8083 loss: 0.8083 2022/08/09 14:23:50 - mmengine - INFO - Epoch(train) [66][440/1879] lr: 2.0000e-03 eta: 10:38:54 time: 0.5614 data_time: 0.0265 memory: 13723 grad_norm: 4.0878 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7090 loss: 0.7090 2022/08/09 14:24:01 - mmengine - INFO - Epoch(train) [66][460/1879] lr: 2.0000e-03 eta: 10:38:42 time: 0.5701 data_time: 0.0238 memory: 13723 grad_norm: 4.2643 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6971 loss: 0.6971 2022/08/09 14:24:13 - mmengine - INFO - Epoch(train) [66][480/1879] lr: 2.0000e-03 eta: 10:38:30 time: 0.5613 data_time: 0.0234 memory: 13723 grad_norm: 4.2021 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5946 loss: 0.5946 2022/08/09 14:24:24 - mmengine - INFO - Epoch(train) [66][500/1879] lr: 2.0000e-03 eta: 10:38:18 time: 0.5661 data_time: 0.0260 memory: 13723 grad_norm: 4.1534 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6540 loss: 0.6540 2022/08/09 14:24:35 - mmengine - INFO - Epoch(train) [66][520/1879] lr: 2.0000e-03 eta: 10:38:06 time: 0.5716 data_time: 0.0246 memory: 13723 grad_norm: 4.1596 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8671 loss: 0.8671 2022/08/09 14:24:47 - mmengine - INFO - Epoch(train) [66][540/1879] lr: 2.0000e-03 eta: 10:37:54 time: 0.5627 data_time: 0.0250 memory: 13723 grad_norm: 4.0817 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5886 loss: 0.5886 2022/08/09 14:24:58 - mmengine - INFO - Epoch(train) [66][560/1879] lr: 2.0000e-03 eta: 10:37:42 time: 0.5668 data_time: 0.0235 memory: 13723 grad_norm: 4.0776 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7349 loss: 0.7349 2022/08/09 14:25:10 - mmengine - INFO - Epoch(train) [66][580/1879] lr: 2.0000e-03 eta: 10:37:30 time: 0.5737 data_time: 0.0235 memory: 13723 grad_norm: 3.9009 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6461 loss: 0.6461 2022/08/09 14:25:21 - mmengine - INFO - Epoch(train) [66][600/1879] lr: 2.0000e-03 eta: 10:37:18 time: 0.5741 data_time: 0.0263 memory: 13723 grad_norm: 4.1471 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7407 loss: 0.7407 2022/08/09 14:25:33 - mmengine - INFO - Epoch(train) [66][620/1879] lr: 2.0000e-03 eta: 10:37:07 time: 0.5783 data_time: 0.0237 memory: 13723 grad_norm: 4.1205 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7068 loss: 0.7068 2022/08/09 14:25:44 - mmengine - INFO - Epoch(train) [66][640/1879] lr: 2.0000e-03 eta: 10:36:55 time: 0.5675 data_time: 0.0239 memory: 13723 grad_norm: 4.0622 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7567 loss: 0.7567 2022/08/09 14:25:55 - mmengine - INFO - Epoch(train) [66][660/1879] lr: 2.0000e-03 eta: 10:36:43 time: 0.5681 data_time: 0.0245 memory: 13723 grad_norm: 4.0170 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7113 loss: 0.7113 2022/08/09 14:26:07 - mmengine - INFO - Epoch(train) [66][680/1879] lr: 2.0000e-03 eta: 10:36:31 time: 0.5679 data_time: 0.0267 memory: 13723 grad_norm: 4.0311 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.6529 loss: 0.6529 2022/08/09 14:26:18 - mmengine - INFO - Epoch(train) [66][700/1879] lr: 2.0000e-03 eta: 10:36:19 time: 0.5656 data_time: 0.0232 memory: 13723 grad_norm: 4.1697 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7015 loss: 0.7015 2022/08/09 14:26:29 - mmengine - INFO - Epoch(train) [66][720/1879] lr: 2.0000e-03 eta: 10:36:07 time: 0.5668 data_time: 0.0252 memory: 13723 grad_norm: 4.0678 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7296 loss: 0.7296 2022/08/09 14:26:41 - mmengine - INFO - Epoch(train) [66][740/1879] lr: 2.0000e-03 eta: 10:35:55 time: 0.5684 data_time: 0.0264 memory: 13723 grad_norm: 4.1119 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7477 loss: 0.7477 2022/08/09 14:26:52 - mmengine - INFO - Epoch(train) [66][760/1879] lr: 2.0000e-03 eta: 10:35:43 time: 0.5603 data_time: 0.0235 memory: 13723 grad_norm: 4.2025 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6962 loss: 0.6962 2022/08/09 14:27:04 - mmengine - INFO - Epoch(train) [66][780/1879] lr: 2.0000e-03 eta: 10:35:31 time: 0.5728 data_time: 0.0259 memory: 13723 grad_norm: 4.1968 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7352 loss: 0.7352 2022/08/09 14:27:15 - mmengine - INFO - Epoch(train) [66][800/1879] lr: 2.0000e-03 eta: 10:35:19 time: 0.5633 data_time: 0.0239 memory: 13723 grad_norm: 4.1416 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7187 loss: 0.7187 2022/08/09 14:27:26 - mmengine - INFO - Epoch(train) [66][820/1879] lr: 2.0000e-03 eta: 10:35:07 time: 0.5803 data_time: 0.0243 memory: 13723 grad_norm: 4.0644 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6460 loss: 0.6460 2022/08/09 14:27:38 - mmengine - INFO - Epoch(train) [66][840/1879] lr: 2.0000e-03 eta: 10:34:55 time: 0.5769 data_time: 0.0218 memory: 13723 grad_norm: 4.1316 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8035 loss: 0.8035 2022/08/09 14:27:49 - mmengine - INFO - Epoch(train) [66][860/1879] lr: 2.0000e-03 eta: 10:34:43 time: 0.5629 data_time: 0.0245 memory: 13723 grad_norm: 4.0267 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7679 loss: 0.7679 2022/08/09 14:27:52 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 14:28:01 - mmengine - INFO - Epoch(train) [66][880/1879] lr: 2.0000e-03 eta: 10:34:32 time: 0.5807 data_time: 0.0296 memory: 13723 grad_norm: 4.2451 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8288 loss: 0.8288 2022/08/09 14:28:13 - mmengine - INFO - Epoch(train) [66][900/1879] lr: 2.0000e-03 eta: 10:34:20 time: 0.6073 data_time: 0.0251 memory: 13723 grad_norm: 4.2013 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7415 loss: 0.7415 2022/08/09 14:28:25 - mmengine - INFO - Epoch(train) [66][920/1879] lr: 2.0000e-03 eta: 10:34:08 time: 0.5748 data_time: 0.0228 memory: 13723 grad_norm: 4.0659 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9314 loss: 0.9314 2022/08/09 14:28:37 - mmengine - INFO - Epoch(train) [66][940/1879] lr: 2.0000e-03 eta: 10:33:57 time: 0.6006 data_time: 0.0502 memory: 13723 grad_norm: 4.1627 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8194 loss: 0.8194 2022/08/09 14:28:48 - mmengine - INFO - Epoch(train) [66][960/1879] lr: 2.0000e-03 eta: 10:33:45 time: 0.5627 data_time: 0.0270 memory: 13723 grad_norm: 4.0720 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7155 loss: 0.7155 2022/08/09 14:28:59 - mmengine - INFO - Epoch(train) [66][980/1879] lr: 2.0000e-03 eta: 10:33:33 time: 0.5803 data_time: 0.0222 memory: 13723 grad_norm: 4.1550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8328 loss: 0.8328 2022/08/09 14:29:11 - mmengine - INFO - Epoch(train) [66][1000/1879] lr: 2.0000e-03 eta: 10:33:21 time: 0.5620 data_time: 0.0233 memory: 13723 grad_norm: 4.1198 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8112 loss: 0.8112 2022/08/09 14:29:22 - mmengine - INFO - Epoch(train) [66][1020/1879] lr: 2.0000e-03 eta: 10:33:09 time: 0.5667 data_time: 0.0234 memory: 13723 grad_norm: 4.3403 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8077 loss: 0.8077 2022/08/09 14:29:33 - mmengine - INFO - Epoch(train) [66][1040/1879] lr: 2.0000e-03 eta: 10:32:57 time: 0.5658 data_time: 0.0232 memory: 13723 grad_norm: 4.1452 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8742 loss: 0.8742 2022/08/09 14:29:45 - mmengine - INFO - Epoch(train) [66][1060/1879] lr: 2.0000e-03 eta: 10:32:45 time: 0.5739 data_time: 0.0235 memory: 13723 grad_norm: 4.0811 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7177 loss: 0.7177 2022/08/09 14:29:56 - mmengine - INFO - Epoch(train) [66][1080/1879] lr: 2.0000e-03 eta: 10:32:33 time: 0.5637 data_time: 0.0257 memory: 13723 grad_norm: 4.2025 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6966 loss: 0.6966 2022/08/09 14:30:09 - mmengine - INFO - Epoch(train) [66][1100/1879] lr: 2.0000e-03 eta: 10:32:22 time: 0.6382 data_time: 0.0918 memory: 13723 grad_norm: 4.0864 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7242 loss: 0.7242 2022/08/09 14:30:21 - mmengine - INFO - Epoch(train) [66][1120/1879] lr: 2.0000e-03 eta: 10:32:10 time: 0.5915 data_time: 0.0262 memory: 13723 grad_norm: 4.0611 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7468 loss: 0.7468 2022/08/09 14:30:33 - mmengine - INFO - Epoch(train) [66][1140/1879] lr: 2.0000e-03 eta: 10:31:59 time: 0.6185 data_time: 0.0482 memory: 13723 grad_norm: 4.0671 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7334 loss: 0.7334 2022/08/09 14:30:45 - mmengine - INFO - Epoch(train) [66][1160/1879] lr: 2.0000e-03 eta: 10:31:47 time: 0.5861 data_time: 0.0223 memory: 13723 grad_norm: 4.0463 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7410 loss: 0.7410 2022/08/09 14:30:56 - mmengine - INFO - Epoch(train) [66][1180/1879] lr: 2.0000e-03 eta: 10:31:35 time: 0.5749 data_time: 0.0228 memory: 13723 grad_norm: 4.2136 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6940 loss: 0.6940 2022/08/09 14:31:08 - mmengine - INFO - Epoch(train) [66][1200/1879] lr: 2.0000e-03 eta: 10:31:23 time: 0.5726 data_time: 0.0239 memory: 13723 grad_norm: 4.0640 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5830 loss: 0.5830 2022/08/09 14:31:20 - mmengine - INFO - Epoch(train) [66][1220/1879] lr: 2.0000e-03 eta: 10:31:12 time: 0.5853 data_time: 0.0374 memory: 13723 grad_norm: 4.2229 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6919 loss: 0.6919 2022/08/09 14:31:31 - mmengine - INFO - Epoch(train) [66][1240/1879] lr: 2.0000e-03 eta: 10:31:00 time: 0.5636 data_time: 0.0268 memory: 13723 grad_norm: 4.0630 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6843 loss: 0.6843 2022/08/09 14:31:42 - mmengine - INFO - Epoch(train) [66][1260/1879] lr: 2.0000e-03 eta: 10:30:48 time: 0.5729 data_time: 0.0243 memory: 13723 grad_norm: 4.3357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8002 loss: 0.8002 2022/08/09 14:31:54 - mmengine - INFO - Epoch(train) [66][1280/1879] lr: 2.0000e-03 eta: 10:30:36 time: 0.5596 data_time: 0.0235 memory: 13723 grad_norm: 4.1619 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8286 loss: 0.8286 2022/08/09 14:32:05 - mmengine - INFO - Epoch(train) [66][1300/1879] lr: 2.0000e-03 eta: 10:30:24 time: 0.5721 data_time: 0.0232 memory: 13723 grad_norm: 4.0638 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8018 loss: 0.8018 2022/08/09 14:32:17 - mmengine - INFO - Epoch(train) [66][1320/1879] lr: 2.0000e-03 eta: 10:30:12 time: 0.5741 data_time: 0.0230 memory: 13723 grad_norm: 4.2522 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8271 loss: 0.8271 2022/08/09 14:32:28 - mmengine - INFO - Epoch(train) [66][1340/1879] lr: 2.0000e-03 eta: 10:30:00 time: 0.5679 data_time: 0.0219 memory: 13723 grad_norm: 4.2066 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7910 loss: 0.7910 2022/08/09 14:32:39 - mmengine - INFO - Epoch(train) [66][1360/1879] lr: 2.0000e-03 eta: 10:29:48 time: 0.5778 data_time: 0.0230 memory: 13723 grad_norm: 4.2410 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8256 loss: 0.8256 2022/08/09 14:32:51 - mmengine - INFO - Epoch(train) [66][1380/1879] lr: 2.0000e-03 eta: 10:29:36 time: 0.5629 data_time: 0.0231 memory: 13723 grad_norm: 4.2379 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7796 loss: 0.7796 2022/08/09 14:33:02 - mmengine - INFO - Epoch(train) [66][1400/1879] lr: 2.0000e-03 eta: 10:29:24 time: 0.5652 data_time: 0.0223 memory: 13723 grad_norm: 4.1517 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7106 loss: 0.7106 2022/08/09 14:33:14 - mmengine - INFO - Epoch(train) [66][1420/1879] lr: 2.0000e-03 eta: 10:29:12 time: 0.5743 data_time: 0.0235 memory: 13723 grad_norm: 4.0962 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7738 loss: 0.7738 2022/08/09 14:33:25 - mmengine - INFO - Epoch(train) [66][1440/1879] lr: 2.0000e-03 eta: 10:29:01 time: 0.5810 data_time: 0.0261 memory: 13723 grad_norm: 4.2071 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6629 loss: 0.6629 2022/08/09 14:33:37 - mmengine - INFO - Epoch(train) [66][1460/1879] lr: 2.0000e-03 eta: 10:28:49 time: 0.5820 data_time: 0.0200 memory: 13723 grad_norm: 4.2462 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7972 loss: 0.7972 2022/08/09 14:33:48 - mmengine - INFO - Epoch(train) [66][1480/1879] lr: 2.0000e-03 eta: 10:28:37 time: 0.5766 data_time: 0.0257 memory: 13723 grad_norm: 4.2640 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7711 loss: 0.7711 2022/08/09 14:34:00 - mmengine - INFO - Epoch(train) [66][1500/1879] lr: 2.0000e-03 eta: 10:28:25 time: 0.5753 data_time: 0.0219 memory: 13723 grad_norm: 4.2164 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7851 loss: 0.7851 2022/08/09 14:34:11 - mmengine - INFO - Epoch(train) [66][1520/1879] lr: 2.0000e-03 eta: 10:28:13 time: 0.5693 data_time: 0.0248 memory: 13723 grad_norm: 4.2449 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6925 loss: 0.6925 2022/08/09 14:34:23 - mmengine - INFO - Epoch(train) [66][1540/1879] lr: 2.0000e-03 eta: 10:28:01 time: 0.5706 data_time: 0.0204 memory: 13723 grad_norm: 4.2129 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9039 loss: 0.9039 2022/08/09 14:34:34 - mmengine - INFO - Epoch(train) [66][1560/1879] lr: 2.0000e-03 eta: 10:27:50 time: 0.5745 data_time: 0.0267 memory: 13723 grad_norm: 4.2490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7775 loss: 0.7775 2022/08/09 14:34:46 - mmengine - INFO - Epoch(train) [66][1580/1879] lr: 2.0000e-03 eta: 10:27:38 time: 0.5708 data_time: 0.0243 memory: 13723 grad_norm: 4.3613 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7580 loss: 0.7580 2022/08/09 14:34:57 - mmengine - INFO - Epoch(train) [66][1600/1879] lr: 2.0000e-03 eta: 10:27:26 time: 0.5686 data_time: 0.0228 memory: 13723 grad_norm: 4.3620 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8156 loss: 0.8156 2022/08/09 14:35:08 - mmengine - INFO - Epoch(train) [66][1620/1879] lr: 2.0000e-03 eta: 10:27:14 time: 0.5691 data_time: 0.0271 memory: 13723 grad_norm: 4.2298 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8505 loss: 0.8505 2022/08/09 14:35:21 - mmengine - INFO - Epoch(train) [66][1640/1879] lr: 2.0000e-03 eta: 10:27:03 time: 0.6332 data_time: 0.0832 memory: 13723 grad_norm: 4.3381 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9023 loss: 0.9023 2022/08/09 14:35:33 - mmengine - INFO - Epoch(train) [66][1660/1879] lr: 2.0000e-03 eta: 10:26:51 time: 0.5783 data_time: 0.0257 memory: 13723 grad_norm: 4.2280 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7676 loss: 0.7676 2022/08/09 14:35:44 - mmengine - INFO - Epoch(train) [66][1680/1879] lr: 2.0000e-03 eta: 10:26:39 time: 0.5735 data_time: 0.0261 memory: 13723 grad_norm: 4.1863 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8714 loss: 0.8714 2022/08/09 14:35:56 - mmengine - INFO - Epoch(train) [66][1700/1879] lr: 2.0000e-03 eta: 10:26:27 time: 0.5631 data_time: 0.0231 memory: 13723 grad_norm: 4.1971 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7043 loss: 0.7043 2022/08/09 14:36:07 - mmengine - INFO - Epoch(train) [66][1720/1879] lr: 2.0000e-03 eta: 10:26:15 time: 0.5651 data_time: 0.0233 memory: 13723 grad_norm: 4.3080 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.7217 loss: 0.7217 2022/08/09 14:36:18 - mmengine - INFO - Epoch(train) [66][1740/1879] lr: 2.0000e-03 eta: 10:26:03 time: 0.5713 data_time: 0.0257 memory: 13723 grad_norm: 4.0828 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7294 loss: 0.7294 2022/08/09 14:36:30 - mmengine - INFO - Epoch(train) [66][1760/1879] lr: 2.0000e-03 eta: 10:25:51 time: 0.5663 data_time: 0.0272 memory: 13723 grad_norm: 4.3424 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7977 loss: 0.7977 2022/08/09 14:36:41 - mmengine - INFO - Epoch(train) [66][1780/1879] lr: 2.0000e-03 eta: 10:25:39 time: 0.5711 data_time: 0.0238 memory: 13723 grad_norm: 4.1355 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8404 loss: 0.8404 2022/08/09 14:36:52 - mmengine - INFO - Epoch(train) [66][1800/1879] lr: 2.0000e-03 eta: 10:25:27 time: 0.5598 data_time: 0.0220 memory: 13723 grad_norm: 4.1243 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7689 loss: 0.7689 2022/08/09 14:37:04 - mmengine - INFO - Epoch(train) [66][1820/1879] lr: 2.0000e-03 eta: 10:25:15 time: 0.5717 data_time: 0.0247 memory: 13723 grad_norm: 4.3258 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9277 loss: 0.9277 2022/08/09 14:37:15 - mmengine - INFO - Epoch(train) [66][1840/1879] lr: 2.0000e-03 eta: 10:25:03 time: 0.5692 data_time: 0.0232 memory: 13723 grad_norm: 4.1370 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8235 loss: 0.8235 2022/08/09 14:37:26 - mmengine - INFO - Epoch(train) [66][1860/1879] lr: 2.0000e-03 eta: 10:24:51 time: 0.5691 data_time: 0.0226 memory: 13723 grad_norm: 4.1869 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8283 loss: 0.8283 2022/08/09 14:37:29 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 14:37:37 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 14:37:37 - mmengine - INFO - Epoch(train) [66][1879/1879] lr: 2.0000e-03 eta: 10:24:51 time: 0.5288 data_time: 0.0193 memory: 13723 grad_norm: 4.2247 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7261 loss: 0.7261 2022/08/09 14:37:37 - mmengine - INFO - Saving checkpoint at 66 epochs 2022/08/09 14:37:52 - mmengine - INFO - Epoch(val) [66][20/155] eta: 0:01:31 time: 0.6796 data_time: 0.5392 memory: 1829 2022/08/09 14:38:03 - mmengine - INFO - Epoch(val) [66][40/155] eta: 0:01:02 time: 0.5412 data_time: 0.3968 memory: 1829 2022/08/09 14:38:13 - mmengine - INFO - Epoch(val) [66][60/155] eta: 0:00:48 time: 0.5084 data_time: 0.3686 memory: 1829 2022/08/09 14:38:25 - mmengine - INFO - Epoch(val) [66][80/155] eta: 0:00:47 time: 0.6297 data_time: 0.4872 memory: 1829 2022/08/09 14:38:36 - mmengine - INFO - Epoch(val) [66][100/155] eta: 0:00:29 time: 0.5285 data_time: 0.3897 memory: 1829 2022/08/09 14:38:50 - mmengine - INFO - Epoch(val) [66][120/155] eta: 0:00:23 time: 0.6833 data_time: 0.5444 memory: 1829 2022/08/09 14:38:58 - mmengine - INFO - Epoch(val) [66][140/155] eta: 0:00:06 time: 0.4094 data_time: 0.2723 memory: 1829 2022/08/09 14:39:07 - mmengine - INFO - Epoch(val) [66][155/155] acc/top1: 0.7123 acc/top5: 0.8981 acc/mean1: 0.7123 2022/08/09 14:39:25 - mmengine - INFO - Epoch(train) [67][20/1879] lr: 2.0000e-03 eta: 10:24:26 time: 0.8713 data_time: 0.2135 memory: 13723 grad_norm: 3.9667 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6833 loss: 0.6833 2022/08/09 14:39:36 - mmengine - INFO - Epoch(train) [67][40/1879] lr: 2.0000e-03 eta: 10:24:14 time: 0.5781 data_time: 0.0225 memory: 13723 grad_norm: 3.9088 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6827 loss: 0.6827 2022/08/09 14:39:48 - mmengine - INFO - Epoch(train) [67][60/1879] lr: 2.0000e-03 eta: 10:24:02 time: 0.6100 data_time: 0.0226 memory: 13723 grad_norm: 4.1660 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7842 loss: 0.7842 2022/08/09 14:40:00 - mmengine - INFO - Epoch(train) [67][80/1879] lr: 2.0000e-03 eta: 10:23:51 time: 0.5824 data_time: 0.0256 memory: 13723 grad_norm: 4.2550 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8088 loss: 0.8088 2022/08/09 14:40:12 - mmengine - INFO - Epoch(train) [67][100/1879] lr: 2.0000e-03 eta: 10:23:39 time: 0.5905 data_time: 0.0263 memory: 13723 grad_norm: 4.0398 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7194 loss: 0.7194 2022/08/09 14:40:24 - mmengine - INFO - Epoch(train) [67][120/1879] lr: 2.0000e-03 eta: 10:23:27 time: 0.6001 data_time: 0.0233 memory: 13723 grad_norm: 4.0691 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7088 loss: 0.7088 2022/08/09 14:40:36 - mmengine - INFO - Epoch(train) [67][140/1879] lr: 2.0000e-03 eta: 10:23:16 time: 0.5889 data_time: 0.0266 memory: 13723 grad_norm: 4.1591 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7506 loss: 0.7506 2022/08/09 14:40:48 - mmengine - INFO - Epoch(train) [67][160/1879] lr: 2.0000e-03 eta: 10:23:04 time: 0.5969 data_time: 0.0231 memory: 13723 grad_norm: 4.1263 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7247 loss: 0.7247 2022/08/09 14:40:59 - mmengine - INFO - Epoch(train) [67][180/1879] lr: 2.0000e-03 eta: 10:22:52 time: 0.5970 data_time: 0.0244 memory: 13723 grad_norm: 4.1529 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8537 loss: 0.8537 2022/08/09 14:41:11 - mmengine - INFO - Epoch(train) [67][200/1879] lr: 2.0000e-03 eta: 10:22:41 time: 0.5867 data_time: 0.0233 memory: 13723 grad_norm: 4.1551 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7744 loss: 0.7744 2022/08/09 14:41:23 - mmengine - INFO - Epoch(train) [67][220/1879] lr: 2.0000e-03 eta: 10:22:29 time: 0.5829 data_time: 0.0230 memory: 13723 grad_norm: 4.1987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8010 loss: 0.8010 2022/08/09 14:41:34 - mmengine - INFO - Epoch(train) [67][240/1879] lr: 2.0000e-03 eta: 10:22:17 time: 0.5745 data_time: 0.0233 memory: 13723 grad_norm: 4.2291 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8093 loss: 0.8093 2022/08/09 14:41:46 - mmengine - INFO - Epoch(train) [67][260/1879] lr: 2.0000e-03 eta: 10:22:05 time: 0.5730 data_time: 0.0221 memory: 13723 grad_norm: 4.0852 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.7946 loss: 0.7946 2022/08/09 14:41:58 - mmengine - INFO - Epoch(train) [67][280/1879] lr: 2.0000e-03 eta: 10:21:54 time: 0.5979 data_time: 0.0236 memory: 13723 grad_norm: 4.0616 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6584 loss: 0.6584 2022/08/09 14:42:09 - mmengine - INFO - Epoch(train) [67][300/1879] lr: 2.0000e-03 eta: 10:21:42 time: 0.5773 data_time: 0.0228 memory: 13723 grad_norm: 4.1619 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7662 loss: 0.7662 2022/08/09 14:42:21 - mmengine - INFO - Epoch(train) [67][320/1879] lr: 2.0000e-03 eta: 10:21:30 time: 0.5822 data_time: 0.0221 memory: 13723 grad_norm: 4.0803 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8137 loss: 0.8137 2022/08/09 14:42:33 - mmengine - INFO - Epoch(train) [67][340/1879] lr: 2.0000e-03 eta: 10:21:18 time: 0.5819 data_time: 0.0264 memory: 13723 grad_norm: 4.0175 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7619 loss: 0.7619 2022/08/09 14:42:44 - mmengine - INFO - Epoch(train) [67][360/1879] lr: 2.0000e-03 eta: 10:21:06 time: 0.5777 data_time: 0.0233 memory: 13723 grad_norm: 4.1811 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7871 loss: 0.7871 2022/08/09 14:42:57 - mmengine - INFO - Epoch(train) [67][380/1879] lr: 2.0000e-03 eta: 10:20:55 time: 0.6415 data_time: 0.0220 memory: 13723 grad_norm: 4.1900 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8917 loss: 0.8917 2022/08/09 14:43:11 - mmengine - INFO - Epoch(train) [67][400/1879] lr: 2.0000e-03 eta: 10:20:45 time: 0.7104 data_time: 0.0180 memory: 13723 grad_norm: 4.1944 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8120 loss: 0.8120 2022/08/09 14:43:25 - mmengine - INFO - Epoch(train) [67][420/1879] lr: 2.0000e-03 eta: 10:20:34 time: 0.7004 data_time: 0.0190 memory: 13723 grad_norm: 4.2472 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6657 loss: 0.6657 2022/08/09 14:43:37 - mmengine - INFO - Epoch(train) [67][440/1879] lr: 2.0000e-03 eta: 10:20:22 time: 0.5763 data_time: 0.0206 memory: 13723 grad_norm: 4.2544 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6596 loss: 0.6596 2022/08/09 14:43:49 - mmengine - INFO - Epoch(train) [67][460/1879] lr: 2.0000e-03 eta: 10:20:11 time: 0.5842 data_time: 0.0227 memory: 13723 grad_norm: 4.1956 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7793 loss: 0.7793 2022/08/09 14:44:00 - mmengine - INFO - Epoch(train) [67][480/1879] lr: 2.0000e-03 eta: 10:19:59 time: 0.5777 data_time: 0.0223 memory: 13723 grad_norm: 4.1925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6529 loss: 0.6529 2022/08/09 14:44:12 - mmengine - INFO - Epoch(train) [67][500/1879] lr: 2.0000e-03 eta: 10:19:47 time: 0.6020 data_time: 0.0220 memory: 13723 grad_norm: 4.2317 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7944 loss: 0.7944 2022/08/09 14:44:24 - mmengine - INFO - Epoch(train) [67][520/1879] lr: 2.0000e-03 eta: 10:19:35 time: 0.5806 data_time: 0.0224 memory: 13723 grad_norm: 4.0860 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7753 loss: 0.7753 2022/08/09 14:44:36 - mmengine - INFO - Epoch(train) [67][540/1879] lr: 2.0000e-03 eta: 10:19:24 time: 0.5964 data_time: 0.0231 memory: 13723 grad_norm: 4.1254 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8632 loss: 0.8632 2022/08/09 14:44:47 - mmengine - INFO - Epoch(train) [67][560/1879] lr: 2.0000e-03 eta: 10:19:12 time: 0.5821 data_time: 0.0233 memory: 13723 grad_norm: 4.1765 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8723 loss: 0.8723 2022/08/09 14:45:01 - mmengine - INFO - Epoch(train) [67][580/1879] lr: 2.0000e-03 eta: 10:19:01 time: 0.6640 data_time: 0.1051 memory: 13723 grad_norm: 4.2180 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8019 loss: 0.8019 2022/08/09 14:45:13 - mmengine - INFO - Epoch(train) [67][600/1879] lr: 2.0000e-03 eta: 10:18:50 time: 0.6253 data_time: 0.0322 memory: 13723 grad_norm: 4.1691 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6790 loss: 0.6790 2022/08/09 14:45:25 - mmengine - INFO - Epoch(train) [67][620/1879] lr: 2.0000e-03 eta: 10:18:38 time: 0.5925 data_time: 0.0266 memory: 13723 grad_norm: 4.1120 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7650 loss: 0.7650 2022/08/09 14:45:37 - mmengine - INFO - Epoch(train) [67][640/1879] lr: 2.0000e-03 eta: 10:18:26 time: 0.5972 data_time: 0.0197 memory: 13723 grad_norm: 4.1717 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7852 loss: 0.7852 2022/08/09 14:45:49 - mmengine - INFO - Epoch(train) [67][660/1879] lr: 2.0000e-03 eta: 10:18:15 time: 0.5958 data_time: 0.0231 memory: 13723 grad_norm: 4.2466 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7287 loss: 0.7287 2022/08/09 14:46:01 - mmengine - INFO - Epoch(train) [67][680/1879] lr: 2.0000e-03 eta: 10:18:03 time: 0.5779 data_time: 0.0252 memory: 13723 grad_norm: 4.1705 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7217 loss: 0.7217 2022/08/09 14:46:13 - mmengine - INFO - Epoch(train) [67][700/1879] lr: 2.0000e-03 eta: 10:17:52 time: 0.6282 data_time: 0.0224 memory: 13723 grad_norm: 4.2396 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8219 loss: 0.8219 2022/08/09 14:46:25 - mmengine - INFO - Epoch(train) [67][720/1879] lr: 2.0000e-03 eta: 10:17:40 time: 0.5725 data_time: 0.0213 memory: 13723 grad_norm: 4.1687 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7064 loss: 0.7064 2022/08/09 14:46:36 - mmengine - INFO - Epoch(train) [67][740/1879] lr: 2.0000e-03 eta: 10:17:28 time: 0.5803 data_time: 0.0227 memory: 13723 grad_norm: 4.1546 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7735 loss: 0.7735 2022/08/09 14:46:48 - mmengine - INFO - Epoch(train) [67][760/1879] lr: 2.0000e-03 eta: 10:17:16 time: 0.5716 data_time: 0.0220 memory: 13723 grad_norm: 4.0621 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7546 loss: 0.7546 2022/08/09 14:46:59 - mmengine - INFO - Epoch(train) [67][780/1879] lr: 2.0000e-03 eta: 10:17:04 time: 0.5865 data_time: 0.0214 memory: 13723 grad_norm: 4.2460 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7737 loss: 0.7737 2022/08/09 14:47:13 - mmengine - INFO - Epoch(train) [67][800/1879] lr: 2.0000e-03 eta: 10:16:53 time: 0.6725 data_time: 0.0191 memory: 13723 grad_norm: 4.1706 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5776 loss: 0.5776 2022/08/09 14:47:24 - mmengine - INFO - Epoch(train) [67][820/1879] lr: 2.0000e-03 eta: 10:16:41 time: 0.5665 data_time: 0.0213 memory: 13723 grad_norm: 4.0643 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.6138 loss: 0.6138 2022/08/09 14:47:37 - mmengine - INFO - Epoch(train) [67][840/1879] lr: 2.0000e-03 eta: 10:16:30 time: 0.6173 data_time: 0.0217 memory: 13723 grad_norm: 4.0591 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8560 loss: 0.8560 2022/08/09 14:47:48 - mmengine - INFO - Epoch(train) [67][860/1879] lr: 2.0000e-03 eta: 10:16:18 time: 0.5729 data_time: 0.0239 memory: 13723 grad_norm: 4.1772 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8898 loss: 0.8898 2022/08/09 14:48:00 - mmengine - INFO - Epoch(train) [67][880/1879] lr: 2.0000e-03 eta: 10:16:06 time: 0.5924 data_time: 0.0250 memory: 13723 grad_norm: 4.2063 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7137 loss: 0.7137 2022/08/09 14:48:12 - mmengine - INFO - Epoch(train) [67][900/1879] lr: 2.0000e-03 eta: 10:15:55 time: 0.5887 data_time: 0.0226 memory: 13723 grad_norm: 4.2101 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8208 loss: 0.8208 2022/08/09 14:48:24 - mmengine - INFO - Epoch(train) [67][920/1879] lr: 2.0000e-03 eta: 10:15:43 time: 0.6192 data_time: 0.0226 memory: 13723 grad_norm: 4.2894 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8523 loss: 0.8523 2022/08/09 14:48:36 - mmengine - INFO - Epoch(train) [67][940/1879] lr: 2.0000e-03 eta: 10:15:32 time: 0.5765 data_time: 0.0240 memory: 13723 grad_norm: 4.0876 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6811 loss: 0.6811 2022/08/09 14:48:47 - mmengine - INFO - Epoch(train) [67][960/1879] lr: 2.0000e-03 eta: 10:15:20 time: 0.5707 data_time: 0.0216 memory: 13723 grad_norm: 4.2258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7939 loss: 0.7939 2022/08/09 14:48:59 - mmengine - INFO - Epoch(train) [67][980/1879] lr: 2.0000e-03 eta: 10:15:08 time: 0.5886 data_time: 0.0247 memory: 13723 grad_norm: 4.2427 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8817 loss: 0.8817 2022/08/09 14:49:02 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 14:49:11 - mmengine - INFO - Epoch(train) [67][1000/1879] lr: 2.0000e-03 eta: 10:14:56 time: 0.5853 data_time: 0.0205 memory: 13723 grad_norm: 4.2348 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8569 loss: 0.8569 2022/08/09 14:49:23 - mmengine - INFO - Epoch(train) [67][1020/1879] lr: 2.0000e-03 eta: 10:14:45 time: 0.6296 data_time: 0.0221 memory: 13723 grad_norm: 4.1779 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8228 loss: 0.8228 2022/08/09 14:49:35 - mmengine - INFO - Epoch(train) [67][1040/1879] lr: 2.0000e-03 eta: 10:14:33 time: 0.5729 data_time: 0.0221 memory: 13723 grad_norm: 4.1924 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7710 loss: 0.7710 2022/08/09 14:49:46 - mmengine - INFO - Epoch(train) [67][1060/1879] lr: 2.0000e-03 eta: 10:14:21 time: 0.5869 data_time: 0.0237 memory: 13723 grad_norm: 4.1898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8422 loss: 0.8422 2022/08/09 14:49:58 - mmengine - INFO - Epoch(train) [67][1080/1879] lr: 2.0000e-03 eta: 10:14:09 time: 0.5780 data_time: 0.0225 memory: 13723 grad_norm: 4.1192 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7535 loss: 0.7535 2022/08/09 14:50:10 - mmengine - INFO - Epoch(train) [67][1100/1879] lr: 2.0000e-03 eta: 10:13:58 time: 0.6174 data_time: 0.0250 memory: 13723 grad_norm: 4.1201 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7505 loss: 0.7505 2022/08/09 14:50:24 - mmengine - INFO - Epoch(train) [67][1120/1879] lr: 2.0000e-03 eta: 10:13:47 time: 0.6976 data_time: 0.0240 memory: 13723 grad_norm: 4.1231 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7309 loss: 0.7309 2022/08/09 14:50:37 - mmengine - INFO - Epoch(train) [67][1140/1879] lr: 2.0000e-03 eta: 10:13:36 time: 0.6151 data_time: 0.0524 memory: 13723 grad_norm: 4.1989 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8568 loss: 0.8568 2022/08/09 14:50:48 - mmengine - INFO - Epoch(train) [67][1160/1879] lr: 2.0000e-03 eta: 10:13:24 time: 0.5703 data_time: 0.0234 memory: 13723 grad_norm: 4.2290 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6754 loss: 0.6754 2022/08/09 14:51:00 - mmengine - INFO - Epoch(train) [67][1180/1879] lr: 2.0000e-03 eta: 10:13:12 time: 0.5793 data_time: 0.0233 memory: 13723 grad_norm: 4.2520 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8129 loss: 0.8129 2022/08/09 14:51:11 - mmengine - INFO - Epoch(train) [67][1200/1879] lr: 2.0000e-03 eta: 10:13:00 time: 0.5792 data_time: 0.0230 memory: 13723 grad_norm: 4.1774 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8186 loss: 0.8186 2022/08/09 14:51:23 - mmengine - INFO - Epoch(train) [67][1220/1879] lr: 2.0000e-03 eta: 10:12:49 time: 0.5841 data_time: 0.0259 memory: 13723 grad_norm: 4.1291 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7904 loss: 0.7904 2022/08/09 14:51:37 - mmengine - INFO - Epoch(train) [67][1240/1879] lr: 2.0000e-03 eta: 10:12:38 time: 0.7054 data_time: 0.0376 memory: 13723 grad_norm: 4.2405 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7502 loss: 0.7502 2022/08/09 14:51:49 - mmengine - INFO - Epoch(train) [67][1260/1879] lr: 2.0000e-03 eta: 10:12:27 time: 0.6167 data_time: 0.0224 memory: 13723 grad_norm: 4.3552 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7464 loss: 0.7464 2022/08/09 14:52:01 - mmengine - INFO - Epoch(train) [67][1280/1879] lr: 2.0000e-03 eta: 10:12:15 time: 0.5718 data_time: 0.0221 memory: 13723 grad_norm: 4.2903 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7040 loss: 0.7040 2022/08/09 14:52:13 - mmengine - INFO - Epoch(train) [67][1300/1879] lr: 2.0000e-03 eta: 10:12:03 time: 0.6213 data_time: 0.0218 memory: 13723 grad_norm: 4.2324 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8119 loss: 0.8119 2022/08/09 14:52:25 - mmengine - INFO - Epoch(train) [67][1320/1879] lr: 2.0000e-03 eta: 10:11:52 time: 0.5838 data_time: 0.0236 memory: 13723 grad_norm: 4.1053 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5940 loss: 0.5940 2022/08/09 14:52:38 - mmengine - INFO - Epoch(train) [67][1340/1879] lr: 2.0000e-03 eta: 10:11:40 time: 0.6264 data_time: 0.0213 memory: 13723 grad_norm: 4.3452 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7221 loss: 0.7221 2022/08/09 14:52:49 - mmengine - INFO - Epoch(train) [67][1360/1879] lr: 2.0000e-03 eta: 10:11:28 time: 0.5753 data_time: 0.0228 memory: 13723 grad_norm: 4.1392 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7782 loss: 0.7782 2022/08/09 14:53:01 - mmengine - INFO - Epoch(train) [67][1380/1879] lr: 2.0000e-03 eta: 10:11:17 time: 0.5884 data_time: 0.0265 memory: 13723 grad_norm: 4.2778 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7221 loss: 0.7221 2022/08/09 14:53:13 - mmengine - INFO - Epoch(train) [67][1400/1879] lr: 2.0000e-03 eta: 10:11:05 time: 0.6078 data_time: 0.0201 memory: 13723 grad_norm: 4.2430 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7450 loss: 0.7450 2022/08/09 14:53:25 - mmengine - INFO - Epoch(train) [67][1420/1879] lr: 2.0000e-03 eta: 10:10:53 time: 0.5783 data_time: 0.0242 memory: 13723 grad_norm: 4.0679 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7869 loss: 0.7869 2022/08/09 14:53:37 - mmengine - INFO - Epoch(train) [67][1440/1879] lr: 2.0000e-03 eta: 10:10:42 time: 0.6173 data_time: 0.0199 memory: 13723 grad_norm: 4.1827 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7128 loss: 0.7128 2022/08/09 14:53:49 - mmengine - INFO - Epoch(train) [67][1460/1879] lr: 2.0000e-03 eta: 10:10:30 time: 0.5903 data_time: 0.0228 memory: 13723 grad_norm: 4.1243 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8135 loss: 0.8135 2022/08/09 14:54:00 - mmengine - INFO - Epoch(train) [67][1480/1879] lr: 2.0000e-03 eta: 10:10:18 time: 0.5789 data_time: 0.0225 memory: 13723 grad_norm: 4.0507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7579 loss: 0.7579 2022/08/09 14:54:12 - mmengine - INFO - Epoch(train) [67][1500/1879] lr: 2.0000e-03 eta: 10:10:07 time: 0.5696 data_time: 0.0224 memory: 13723 grad_norm: 4.1455 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6090 loss: 0.6090 2022/08/09 14:54:25 - mmengine - INFO - Epoch(train) [67][1520/1879] lr: 2.0000e-03 eta: 10:09:56 time: 0.6695 data_time: 0.0235 memory: 13723 grad_norm: 4.2810 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.6674 loss: 0.6674 2022/08/09 14:54:37 - mmengine - INFO - Epoch(train) [67][1540/1879] lr: 2.0000e-03 eta: 10:09:44 time: 0.5712 data_time: 0.0228 memory: 13723 grad_norm: 4.1204 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8535 loss: 0.8535 2022/08/09 14:54:48 - mmengine - INFO - Epoch(train) [67][1560/1879] lr: 2.0000e-03 eta: 10:09:32 time: 0.5760 data_time: 0.0248 memory: 13723 grad_norm: 4.3240 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6998 loss: 0.6998 2022/08/09 14:55:00 - mmengine - INFO - Epoch(train) [67][1580/1879] lr: 2.0000e-03 eta: 10:09:20 time: 0.5878 data_time: 0.0243 memory: 13723 grad_norm: 4.0406 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7452 loss: 0.7452 2022/08/09 14:55:12 - mmengine - INFO - Epoch(train) [67][1600/1879] lr: 2.0000e-03 eta: 10:09:08 time: 0.5786 data_time: 0.0263 memory: 13723 grad_norm: 4.3144 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7203 loss: 0.7203 2022/08/09 14:55:25 - mmengine - INFO - Epoch(train) [67][1620/1879] lr: 2.0000e-03 eta: 10:08:57 time: 0.6503 data_time: 0.0273 memory: 13723 grad_norm: 4.3740 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9483 loss: 0.9483 2022/08/09 14:55:37 - mmengine - INFO - Epoch(train) [67][1640/1879] lr: 2.0000e-03 eta: 10:08:46 time: 0.6424 data_time: 0.0230 memory: 13723 grad_norm: 4.2009 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7572 loss: 0.7572 2022/08/09 14:55:49 - mmengine - INFO - Epoch(train) [67][1660/1879] lr: 2.0000e-03 eta: 10:08:34 time: 0.5763 data_time: 0.0248 memory: 13723 grad_norm: 4.1708 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8862 loss: 0.8862 2022/08/09 14:56:01 - mmengine - INFO - Epoch(train) [67][1680/1879] lr: 2.0000e-03 eta: 10:08:22 time: 0.5749 data_time: 0.0250 memory: 13723 grad_norm: 4.1048 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7542 loss: 0.7542 2022/08/09 14:56:12 - mmengine - INFO - Epoch(train) [67][1700/1879] lr: 2.0000e-03 eta: 10:08:10 time: 0.5755 data_time: 0.0234 memory: 13723 grad_norm: 4.1344 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7798 loss: 0.7798 2022/08/09 14:56:24 - mmengine - INFO - Epoch(train) [67][1720/1879] lr: 2.0000e-03 eta: 10:07:59 time: 0.5816 data_time: 0.0236 memory: 13723 grad_norm: 4.1045 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7695 loss: 0.7695 2022/08/09 14:56:35 - mmengine - INFO - Epoch(train) [67][1740/1879] lr: 2.0000e-03 eta: 10:07:47 time: 0.5777 data_time: 0.0238 memory: 13723 grad_norm: 4.0386 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6637 loss: 0.6637 2022/08/09 14:56:47 - mmengine - INFO - Epoch(train) [67][1760/1879] lr: 2.0000e-03 eta: 10:07:35 time: 0.5753 data_time: 0.0235 memory: 13723 grad_norm: 4.1300 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7612 loss: 0.7612 2022/08/09 14:56:58 - mmengine - INFO - Epoch(train) [67][1780/1879] lr: 2.0000e-03 eta: 10:07:23 time: 0.5824 data_time: 0.0236 memory: 13723 grad_norm: 4.3104 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7595 loss: 0.7595 2022/08/09 14:57:10 - mmengine - INFO - Epoch(train) [67][1800/1879] lr: 2.0000e-03 eta: 10:07:12 time: 0.5945 data_time: 0.0240 memory: 13723 grad_norm: 4.2788 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6912 loss: 0.6912 2022/08/09 14:57:22 - mmengine - INFO - Epoch(train) [67][1820/1879] lr: 2.0000e-03 eta: 10:07:00 time: 0.5737 data_time: 0.0233 memory: 13723 grad_norm: 4.2273 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7525 loss: 0.7525 2022/08/09 14:57:33 - mmengine - INFO - Epoch(train) [67][1840/1879] lr: 2.0000e-03 eta: 10:06:48 time: 0.5779 data_time: 0.0231 memory: 13723 grad_norm: 4.1790 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6083 loss: 0.6083 2022/08/09 14:57:45 - mmengine - INFO - Epoch(train) [67][1860/1879] lr: 2.0000e-03 eta: 10:06:36 time: 0.5844 data_time: 0.0258 memory: 13723 grad_norm: 4.4791 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7887 loss: 0.7887 2022/08/09 14:57:55 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 14:57:55 - mmengine - INFO - Epoch(train) [67][1879/1879] lr: 2.0000e-03 eta: 10:06:36 time: 0.5445 data_time: 0.0147 memory: 13723 grad_norm: 4.4535 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 0.9231 loss: 0.9231 2022/08/09 14:58:08 - mmengine - INFO - Epoch(val) [67][20/155] eta: 0:01:26 time: 0.6438 data_time: 0.5027 memory: 1829 2022/08/09 14:58:19 - mmengine - INFO - Epoch(val) [67][40/155] eta: 0:00:59 time: 0.5192 data_time: 0.3783 memory: 1829 2022/08/09 14:58:32 - mmengine - INFO - Epoch(val) [67][60/155] eta: 0:01:03 time: 0.6647 data_time: 0.5244 memory: 1829 2022/08/09 14:58:42 - mmengine - INFO - Epoch(val) [67][80/155] eta: 0:00:37 time: 0.4963 data_time: 0.3567 memory: 1829 2022/08/09 14:58:55 - mmengine - INFO - Epoch(val) [67][100/155] eta: 0:00:36 time: 0.6707 data_time: 0.5285 memory: 1829 2022/08/09 14:59:04 - mmengine - INFO - Epoch(val) [67][120/155] eta: 0:00:15 time: 0.4473 data_time: 0.3080 memory: 1829 2022/08/09 14:59:16 - mmengine - INFO - Epoch(val) [67][140/155] eta: 0:00:08 time: 0.5909 data_time: 0.4518 memory: 1829 2022/08/09 14:59:27 - mmengine - INFO - Epoch(val) [67][155/155] acc/top1: 0.7124 acc/top5: 0.8970 acc/mean1: 0.7122 2022/08/09 14:59:45 - mmengine - INFO - Epoch(train) [68][20/1879] lr: 2.0000e-03 eta: 10:06:11 time: 0.8896 data_time: 0.2035 memory: 13723 grad_norm: 4.0811 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7124 loss: 0.7124 2022/08/09 14:59:57 - mmengine - INFO - Epoch(train) [68][40/1879] lr: 2.0000e-03 eta: 10:05:59 time: 0.5853 data_time: 0.0395 memory: 13723 grad_norm: 4.2068 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7476 loss: 0.7476 2022/08/09 15:00:08 - mmengine - INFO - Epoch(train) [68][60/1879] lr: 2.0000e-03 eta: 10:05:47 time: 0.5791 data_time: 0.0203 memory: 13723 grad_norm: 4.1853 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8170 loss: 0.8170 2022/08/09 15:00:20 - mmengine - INFO - Epoch(train) [68][80/1879] lr: 2.0000e-03 eta: 10:05:36 time: 0.6002 data_time: 0.0244 memory: 13723 grad_norm: 4.2383 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8310 loss: 0.8310 2022/08/09 15:00:35 - mmengine - INFO - Epoch(train) [68][100/1879] lr: 2.0000e-03 eta: 10:05:25 time: 0.7122 data_time: 0.0260 memory: 13723 grad_norm: 4.1623 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7132 loss: 0.7132 2022/08/09 15:00:39 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 15:00:46 - mmengine - INFO - Epoch(train) [68][120/1879] lr: 2.0000e-03 eta: 10:05:13 time: 0.5726 data_time: 0.0188 memory: 13723 grad_norm: 4.2448 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7874 loss: 0.7874 2022/08/09 15:00:58 - mmengine - INFO - Epoch(train) [68][140/1879] lr: 2.0000e-03 eta: 10:05:01 time: 0.5700 data_time: 0.0221 memory: 13723 grad_norm: 4.2217 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7592 loss: 0.7592 2022/08/09 15:01:09 - mmengine - INFO - Epoch(train) [68][160/1879] lr: 2.0000e-03 eta: 10:04:49 time: 0.5727 data_time: 0.0234 memory: 13723 grad_norm: 4.1461 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6132 loss: 0.6132 2022/08/09 15:01:21 - mmengine - INFO - Epoch(train) [68][180/1879] lr: 2.0000e-03 eta: 10:04:38 time: 0.5780 data_time: 0.0248 memory: 13723 grad_norm: 4.2160 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6995 loss: 0.6995 2022/08/09 15:01:32 - mmengine - INFO - Epoch(train) [68][200/1879] lr: 2.0000e-03 eta: 10:04:26 time: 0.5710 data_time: 0.0249 memory: 13723 grad_norm: 4.1764 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6962 loss: 0.6962 2022/08/09 15:01:44 - mmengine - INFO - Epoch(train) [68][220/1879] lr: 2.0000e-03 eta: 10:04:14 time: 0.5746 data_time: 0.0237 memory: 13723 grad_norm: 4.2452 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7596 loss: 0.7596 2022/08/09 15:01:55 - mmengine - INFO - Epoch(train) [68][240/1879] lr: 2.0000e-03 eta: 10:04:02 time: 0.5758 data_time: 0.0237 memory: 13723 grad_norm: 4.1752 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6688 loss: 0.6688 2022/08/09 15:02:07 - mmengine - INFO - Epoch(train) [68][260/1879] lr: 2.0000e-03 eta: 10:03:50 time: 0.5752 data_time: 0.0233 memory: 13723 grad_norm: 4.0040 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.6503 loss: 0.6503 2022/08/09 15:02:19 - mmengine - INFO - Epoch(train) [68][280/1879] lr: 2.0000e-03 eta: 10:03:39 time: 0.6378 data_time: 0.0214 memory: 13723 grad_norm: 4.2244 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6932 loss: 0.6932 2022/08/09 15:02:31 - mmengine - INFO - Epoch(train) [68][300/1879] lr: 2.0000e-03 eta: 10:03:27 time: 0.5761 data_time: 0.0227 memory: 13723 grad_norm: 4.2655 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8922 loss: 0.8922 2022/08/09 15:02:43 - mmengine - INFO - Epoch(train) [68][320/1879] lr: 2.0000e-03 eta: 10:03:15 time: 0.5854 data_time: 0.0213 memory: 13723 grad_norm: 4.2032 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6702 loss: 0.6702 2022/08/09 15:02:54 - mmengine - INFO - Epoch(train) [68][340/1879] lr: 2.0000e-03 eta: 10:03:04 time: 0.5798 data_time: 0.0250 memory: 13723 grad_norm: 4.0480 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7207 loss: 0.7207 2022/08/09 15:03:07 - mmengine - INFO - Epoch(train) [68][360/1879] lr: 2.0000e-03 eta: 10:02:52 time: 0.6436 data_time: 0.0191 memory: 13723 grad_norm: 4.2060 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8600 loss: 0.8600 2022/08/09 15:03:19 - mmengine - INFO - Epoch(train) [68][380/1879] lr: 2.0000e-03 eta: 10:02:41 time: 0.6025 data_time: 0.0481 memory: 13723 grad_norm: 4.0788 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6739 loss: 0.6739 2022/08/09 15:03:31 - mmengine - INFO - Epoch(train) [68][400/1879] lr: 2.0000e-03 eta: 10:02:29 time: 0.6027 data_time: 0.0200 memory: 13723 grad_norm: 4.1659 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6486 loss: 0.6486 2022/08/09 15:03:45 - mmengine - INFO - Epoch(train) [68][420/1879] lr: 2.0000e-03 eta: 10:02:18 time: 0.6601 data_time: 0.0243 memory: 13723 grad_norm: 4.0710 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6605 loss: 0.6605 2022/08/09 15:03:56 - mmengine - INFO - Epoch(train) [68][440/1879] lr: 2.0000e-03 eta: 10:02:06 time: 0.5757 data_time: 0.0234 memory: 13723 grad_norm: 4.1786 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6469 loss: 0.6469 2022/08/09 15:04:08 - mmengine - INFO - Epoch(train) [68][460/1879] lr: 2.0000e-03 eta: 10:01:55 time: 0.5906 data_time: 0.0236 memory: 13723 grad_norm: 4.1852 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7615 loss: 0.7615 2022/08/09 15:04:22 - mmengine - INFO - Epoch(train) [68][480/1879] lr: 2.0000e-03 eta: 10:01:44 time: 0.7218 data_time: 0.0194 memory: 13723 grad_norm: 4.1522 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7898 loss: 0.7898 2022/08/09 15:04:34 - mmengine - INFO - Epoch(train) [68][500/1879] lr: 2.0000e-03 eta: 10:01:32 time: 0.5656 data_time: 0.0226 memory: 13723 grad_norm: 4.1657 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7509 loss: 0.7509 2022/08/09 15:04:45 - mmengine - INFO - Epoch(train) [68][520/1879] lr: 2.0000e-03 eta: 10:01:20 time: 0.5792 data_time: 0.0214 memory: 13723 grad_norm: 4.1835 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7246 loss: 0.7246 2022/08/09 15:04:58 - mmengine - INFO - Epoch(train) [68][540/1879] lr: 2.0000e-03 eta: 10:01:09 time: 0.6174 data_time: 0.0224 memory: 13723 grad_norm: 4.1307 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6932 loss: 0.6932 2022/08/09 15:05:15 - mmengine - INFO - Epoch(train) [68][560/1879] lr: 2.0000e-03 eta: 10:01:00 time: 0.8514 data_time: 0.0179 memory: 13723 grad_norm: 4.2120 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8334 loss: 0.8334 2022/08/09 15:05:27 - mmengine - INFO - Epoch(train) [68][580/1879] lr: 2.0000e-03 eta: 10:00:49 time: 0.6336 data_time: 0.0204 memory: 13723 grad_norm: 4.1889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7729 loss: 0.7729 2022/08/09 15:05:40 - mmengine - INFO - Epoch(train) [68][600/1879] lr: 2.0000e-03 eta: 10:00:37 time: 0.6395 data_time: 0.0218 memory: 13723 grad_norm: 4.0682 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7557 loss: 0.7557 2022/08/09 15:05:52 - mmengine - INFO - Epoch(train) [68][620/1879] lr: 2.0000e-03 eta: 10:00:26 time: 0.5907 data_time: 0.0214 memory: 13723 grad_norm: 4.1792 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7603 loss: 0.7603 2022/08/09 15:06:05 - mmengine - INFO - Epoch(train) [68][640/1879] lr: 2.0000e-03 eta: 10:00:15 time: 0.6713 data_time: 0.0198 memory: 13723 grad_norm: 4.0872 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7216 loss: 0.7216 2022/08/09 15:06:20 - mmengine - INFO - Epoch(train) [68][660/1879] lr: 2.0000e-03 eta: 10:00:04 time: 0.7331 data_time: 0.0226 memory: 13723 grad_norm: 4.3347 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8711 loss: 0.8711 2022/08/09 15:06:32 - mmengine - INFO - Epoch(train) [68][680/1879] lr: 2.0000e-03 eta: 9:59:53 time: 0.5733 data_time: 0.0234 memory: 13723 grad_norm: 4.1947 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9500 loss: 0.9500 2022/08/09 15:06:43 - mmengine - INFO - Epoch(train) [68][700/1879] lr: 2.0000e-03 eta: 9:59:41 time: 0.5805 data_time: 0.0226 memory: 13723 grad_norm: 4.2171 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7543 loss: 0.7543 2022/08/09 15:06:56 - mmengine - INFO - Epoch(train) [68][720/1879] lr: 2.0000e-03 eta: 9:59:29 time: 0.6288 data_time: 0.0383 memory: 13723 grad_norm: 4.1343 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7691 loss: 0.7691 2022/08/09 15:07:08 - mmengine - INFO - Epoch(train) [68][740/1879] lr: 2.0000e-03 eta: 9:59:18 time: 0.6195 data_time: 0.0244 memory: 13723 grad_norm: 4.2918 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8056 loss: 0.8056 2022/08/09 15:07:20 - mmengine - INFO - Epoch(train) [68][760/1879] lr: 2.0000e-03 eta: 9:59:06 time: 0.5819 data_time: 0.0226 memory: 13723 grad_norm: 4.1917 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8029 loss: 0.8029 2022/08/09 15:07:34 - mmengine - INFO - Epoch(train) [68][780/1879] lr: 2.0000e-03 eta: 9:58:55 time: 0.6864 data_time: 0.0200 memory: 13723 grad_norm: 4.0807 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7839 loss: 0.7839 2022/08/09 15:07:46 - mmengine - INFO - Epoch(train) [68][800/1879] lr: 2.0000e-03 eta: 9:58:44 time: 0.6134 data_time: 0.0219 memory: 13723 grad_norm: 4.1130 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6851 loss: 0.6851 2022/08/09 15:07:59 - mmengine - INFO - Epoch(train) [68][820/1879] lr: 2.0000e-03 eta: 9:58:33 time: 0.6350 data_time: 0.0384 memory: 13723 grad_norm: 4.2833 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8742 loss: 0.8742 2022/08/09 15:08:12 - mmengine - INFO - Epoch(train) [68][840/1879] lr: 2.0000e-03 eta: 9:58:22 time: 0.6672 data_time: 0.0228 memory: 13723 grad_norm: 4.2076 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7347 loss: 0.7347 2022/08/09 15:08:24 - mmengine - INFO - Epoch(train) [68][860/1879] lr: 2.0000e-03 eta: 9:58:10 time: 0.5825 data_time: 0.0217 memory: 13723 grad_norm: 4.2310 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7960 loss: 0.7960 2022/08/09 15:08:35 - mmengine - INFO - Epoch(train) [68][880/1879] lr: 2.0000e-03 eta: 9:57:58 time: 0.5859 data_time: 0.0238 memory: 13723 grad_norm: 4.1859 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7819 loss: 0.7819 2022/08/09 15:08:49 - mmengine - INFO - Epoch(train) [68][900/1879] lr: 2.0000e-03 eta: 9:57:47 time: 0.6836 data_time: 0.0200 memory: 13723 grad_norm: 4.1860 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7481 loss: 0.7481 2022/08/09 15:09:02 - mmengine - INFO - Epoch(train) [68][920/1879] lr: 2.0000e-03 eta: 9:57:36 time: 0.6501 data_time: 0.0190 memory: 13723 grad_norm: 4.2219 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7189 loss: 0.7189 2022/08/09 15:09:15 - mmengine - INFO - Epoch(train) [68][940/1879] lr: 2.0000e-03 eta: 9:57:25 time: 0.6490 data_time: 0.0242 memory: 13723 grad_norm: 4.1856 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6191 loss: 0.6191 2022/08/09 15:09:29 - mmengine - INFO - Epoch(train) [68][960/1879] lr: 2.0000e-03 eta: 9:57:14 time: 0.6894 data_time: 0.0195 memory: 13723 grad_norm: 4.0202 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7229 loss: 0.7229 2022/08/09 15:09:43 - mmengine - INFO - Epoch(train) [68][980/1879] lr: 2.0000e-03 eta: 9:57:04 time: 0.6919 data_time: 0.0230 memory: 13723 grad_norm: 4.1369 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7666 loss: 0.7666 2022/08/09 15:09:54 - mmengine - INFO - Epoch(train) [68][1000/1879] lr: 2.0000e-03 eta: 9:56:52 time: 0.5756 data_time: 0.0247 memory: 13723 grad_norm: 4.3100 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7749 loss: 0.7749 2022/08/09 15:10:11 - mmengine - INFO - Epoch(train) [68][1020/1879] lr: 2.0000e-03 eta: 9:56:42 time: 0.8240 data_time: 0.0233 memory: 13723 grad_norm: 4.1675 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8816 loss: 0.8816 2022/08/09 15:10:22 - mmengine - INFO - Epoch(train) [68][1040/1879] lr: 2.0000e-03 eta: 9:56:30 time: 0.5697 data_time: 0.0216 memory: 13723 grad_norm: 4.3117 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9138 loss: 0.9138 2022/08/09 15:10:35 - mmengine - INFO - Epoch(train) [68][1060/1879] lr: 2.0000e-03 eta: 9:56:19 time: 0.6257 data_time: 0.0239 memory: 13723 grad_norm: 4.0212 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8038 loss: 0.8038 2022/08/09 15:10:47 - mmengine - INFO - Epoch(train) [68][1080/1879] lr: 2.0000e-03 eta: 9:56:08 time: 0.6222 data_time: 0.0201 memory: 13723 grad_norm: 4.3066 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7774 loss: 0.7774 2022/08/09 15:11:00 - mmengine - INFO - Epoch(train) [68][1100/1879] lr: 2.0000e-03 eta: 9:55:56 time: 0.6291 data_time: 0.0214 memory: 13723 grad_norm: 4.1759 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7049 loss: 0.7049 2022/08/09 15:11:05 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 15:11:12 - mmengine - INFO - Epoch(train) [68][1120/1879] lr: 2.0000e-03 eta: 9:55:45 time: 0.6354 data_time: 0.0260 memory: 13723 grad_norm: 4.3223 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7777 loss: 0.7777 2022/08/09 15:11:24 - mmengine - INFO - Epoch(train) [68][1140/1879] lr: 2.0000e-03 eta: 9:55:33 time: 0.6013 data_time: 0.0355 memory: 13723 grad_norm: 4.1759 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7782 loss: 0.7782 2022/08/09 15:11:40 - mmengine - INFO - Epoch(train) [68][1160/1879] lr: 2.0000e-03 eta: 9:55:23 time: 0.7633 data_time: 0.0184 memory: 13723 grad_norm: 4.2843 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8320 loss: 0.8320 2022/08/09 15:11:52 - mmengine - INFO - Epoch(train) [68][1180/1879] lr: 2.0000e-03 eta: 9:55:12 time: 0.6218 data_time: 0.0220 memory: 13723 grad_norm: 4.1954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8354 loss: 0.8354 2022/08/09 15:12:06 - mmengine - INFO - Epoch(train) [68][1200/1879] lr: 2.0000e-03 eta: 9:55:01 time: 0.6926 data_time: 0.0229 memory: 13723 grad_norm: 4.2370 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7869 loss: 0.7869 2022/08/09 15:12:18 - mmengine - INFO - Epoch(train) [68][1220/1879] lr: 2.0000e-03 eta: 9:54:50 time: 0.6062 data_time: 0.0188 memory: 13723 grad_norm: 4.3087 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7359 loss: 0.7359 2022/08/09 15:12:30 - mmengine - INFO - Epoch(train) [68][1240/1879] lr: 2.0000e-03 eta: 9:54:38 time: 0.5747 data_time: 0.0230 memory: 13723 grad_norm: 4.2563 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6904 loss: 0.6904 2022/08/09 15:12:44 - mmengine - INFO - Epoch(train) [68][1260/1879] lr: 2.0000e-03 eta: 9:54:27 time: 0.6929 data_time: 0.0230 memory: 13723 grad_norm: 4.2684 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7478 loss: 0.7478 2022/08/09 15:12:56 - mmengine - INFO - Epoch(train) [68][1280/1879] lr: 2.0000e-03 eta: 9:54:15 time: 0.6014 data_time: 0.0207 memory: 13723 grad_norm: 4.3614 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7243 loss: 0.7243 2022/08/09 15:13:10 - mmengine - INFO - Epoch(train) [68][1300/1879] lr: 2.0000e-03 eta: 9:54:05 time: 0.7050 data_time: 0.0198 memory: 13723 grad_norm: 4.2805 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7602 loss: 0.7602 2022/08/09 15:13:23 - mmengine - INFO - Epoch(train) [68][1320/1879] lr: 2.0000e-03 eta: 9:53:54 time: 0.6550 data_time: 0.0194 memory: 13723 grad_norm: 4.1045 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7404 loss: 0.7404 2022/08/09 15:13:35 - mmengine - INFO - Epoch(train) [68][1340/1879] lr: 2.0000e-03 eta: 9:53:42 time: 0.6276 data_time: 0.0227 memory: 13723 grad_norm: 4.1443 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8064 loss: 0.8064 2022/08/09 15:13:48 - mmengine - INFO - Epoch(train) [68][1360/1879] lr: 2.0000e-03 eta: 9:53:31 time: 0.6283 data_time: 0.0226 memory: 13723 grad_norm: 4.2190 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.6742 loss: 0.6742 2022/08/09 15:14:00 - mmengine - INFO - Epoch(train) [68][1380/1879] lr: 2.0000e-03 eta: 9:53:19 time: 0.6112 data_time: 0.0201 memory: 13723 grad_norm: 4.3569 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7916 loss: 0.7916 2022/08/09 15:14:14 - mmengine - INFO - Epoch(train) [68][1400/1879] lr: 2.0000e-03 eta: 9:53:09 time: 0.7007 data_time: 0.0206 memory: 13723 grad_norm: 4.2063 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7680 loss: 0.7680 2022/08/09 15:14:26 - mmengine - INFO - Epoch(train) [68][1420/1879] lr: 2.0000e-03 eta: 9:52:57 time: 0.6050 data_time: 0.0241 memory: 13723 grad_norm: 4.2234 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8429 loss: 0.8429 2022/08/09 15:14:39 - mmengine - INFO - Epoch(train) [68][1440/1879] lr: 2.0000e-03 eta: 9:52:46 time: 0.6238 data_time: 0.0408 memory: 13723 grad_norm: 4.1787 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6479 loss: 0.6479 2022/08/09 15:14:51 - mmengine - INFO - Epoch(train) [68][1460/1879] lr: 2.0000e-03 eta: 9:52:34 time: 0.6047 data_time: 0.0206 memory: 13723 grad_norm: 4.0955 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7034 loss: 0.7034 2022/08/09 15:15:05 - mmengine - INFO - Epoch(train) [68][1480/1879] lr: 2.0000e-03 eta: 9:52:24 time: 0.7082 data_time: 0.0208 memory: 13723 grad_norm: 4.3544 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8638 loss: 0.8638 2022/08/09 15:15:21 - mmengine - INFO - Epoch(train) [68][1500/1879] lr: 2.0000e-03 eta: 9:52:14 time: 0.7804 data_time: 0.1005 memory: 13723 grad_norm: 4.2353 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6596 loss: 0.6596 2022/08/09 15:15:33 - mmengine - INFO - Epoch(train) [68][1520/1879] lr: 2.0000e-03 eta: 9:52:02 time: 0.6210 data_time: 0.0243 memory: 13723 grad_norm: 4.1955 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8650 loss: 0.8650 2022/08/09 15:15:48 - mmengine - INFO - Epoch(train) [68][1540/1879] lr: 2.0000e-03 eta: 9:51:52 time: 0.7433 data_time: 0.0213 memory: 13723 grad_norm: 4.1875 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6417 loss: 0.6417 2022/08/09 15:16:00 - mmengine - INFO - Epoch(train) [68][1560/1879] lr: 2.0000e-03 eta: 9:51:40 time: 0.5885 data_time: 0.0219 memory: 13723 grad_norm: 4.3694 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7891 loss: 0.7891 2022/08/09 15:16:12 - mmengine - INFO - Epoch(train) [68][1580/1879] lr: 2.0000e-03 eta: 9:51:29 time: 0.6105 data_time: 0.0260 memory: 13723 grad_norm: 4.4173 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8625 loss: 0.8625 2022/08/09 15:16:25 - mmengine - INFO - Epoch(train) [68][1600/1879] lr: 2.0000e-03 eta: 9:51:18 time: 0.6651 data_time: 0.0712 memory: 13723 grad_norm: 4.0557 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9076 loss: 0.9076 2022/08/09 15:16:41 - mmengine - INFO - Epoch(train) [68][1620/1879] lr: 2.0000e-03 eta: 9:51:08 time: 0.8000 data_time: 0.0544 memory: 13723 grad_norm: 4.1859 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7426 loss: 0.7426 2022/08/09 15:16:54 - mmengine - INFO - Epoch(train) [68][1640/1879] lr: 2.0000e-03 eta: 9:50:57 time: 0.6386 data_time: 0.0473 memory: 13723 grad_norm: 4.2232 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6931 loss: 0.6931 2022/08/09 15:17:09 - mmengine - INFO - Epoch(train) [68][1660/1879] lr: 2.0000e-03 eta: 9:50:46 time: 0.7218 data_time: 0.1667 memory: 13723 grad_norm: 4.3100 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7914 loss: 0.7914 2022/08/09 15:17:21 - mmengine - INFO - Epoch(train) [68][1680/1879] lr: 2.0000e-03 eta: 9:50:35 time: 0.6286 data_time: 0.0188 memory: 13723 grad_norm: 4.2377 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6038 loss: 0.6038 2022/08/09 15:17:33 - mmengine - INFO - Epoch(train) [68][1700/1879] lr: 2.0000e-03 eta: 9:50:23 time: 0.5857 data_time: 0.0255 memory: 13723 grad_norm: 4.2426 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7194 loss: 0.7194 2022/08/09 15:17:45 - mmengine - INFO - Epoch(train) [68][1720/1879] lr: 2.0000e-03 eta: 9:50:12 time: 0.6040 data_time: 0.0211 memory: 13723 grad_norm: 4.1811 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7058 loss: 0.7058 2022/08/09 15:17:58 - mmengine - INFO - Epoch(train) [68][1740/1879] lr: 2.0000e-03 eta: 9:50:00 time: 0.6401 data_time: 0.0236 memory: 13723 grad_norm: 4.2180 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6811 loss: 0.6811 2022/08/09 15:18:10 - mmengine - INFO - Epoch(train) [68][1760/1879] lr: 2.0000e-03 eta: 9:49:49 time: 0.5898 data_time: 0.0214 memory: 13723 grad_norm: 4.2356 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6975 loss: 0.6975 2022/08/09 15:18:25 - mmengine - INFO - Epoch(train) [68][1780/1879] lr: 2.0000e-03 eta: 9:49:39 time: 0.7603 data_time: 0.0201 memory: 13723 grad_norm: 4.1451 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6567 loss: 0.6567 2022/08/09 15:18:36 - mmengine - INFO - Epoch(train) [68][1800/1879] lr: 2.0000e-03 eta: 9:49:27 time: 0.5736 data_time: 0.0223 memory: 13723 grad_norm: 4.2392 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7246 loss: 0.7246 2022/08/09 15:18:51 - mmengine - INFO - Epoch(train) [68][1820/1879] lr: 2.0000e-03 eta: 9:49:16 time: 0.7324 data_time: 0.0211 memory: 13723 grad_norm: 4.2279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7151 loss: 0.7151 2022/08/09 15:19:03 - mmengine - INFO - Epoch(train) [68][1840/1879] lr: 2.0000e-03 eta: 9:49:05 time: 0.5949 data_time: 0.0223 memory: 13723 grad_norm: 4.2708 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8134 loss: 0.8134 2022/08/09 15:19:17 - mmengine - INFO - Epoch(train) [68][1860/1879] lr: 2.0000e-03 eta: 9:48:54 time: 0.7213 data_time: 0.0238 memory: 13723 grad_norm: 4.3413 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7711 loss: 0.7711 2022/08/09 15:19:27 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 15:19:27 - mmengine - INFO - Epoch(train) [68][1879/1879] lr: 2.0000e-03 eta: 9:48:54 time: 0.6218 data_time: 0.0146 memory: 13723 grad_norm: 4.3517 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.8363 loss: 0.8363 2022/08/09 15:19:45 - mmengine - INFO - Epoch(val) [68][20/155] eta: 0:01:59 time: 0.8874 data_time: 0.7474 memory: 1829 2022/08/09 15:19:53 - mmengine - INFO - Epoch(val) [68][40/155] eta: 0:00:45 time: 0.3963 data_time: 0.2578 memory: 1829 2022/08/09 15:20:11 - mmengine - INFO - Epoch(val) [68][60/155] eta: 0:01:24 time: 0.8865 data_time: 0.7492 memory: 1829 2022/08/09 15:20:22 - mmengine - INFO - Epoch(val) [68][80/155] eta: 0:00:42 time: 0.5662 data_time: 0.4275 memory: 1829 2022/08/09 15:20:34 - mmengine - INFO - Epoch(val) [68][100/155] eta: 0:00:33 time: 0.6004 data_time: 0.4617 memory: 1829 2022/08/09 15:20:48 - mmengine - INFO - Epoch(val) [68][120/155] eta: 0:00:24 time: 0.7029 data_time: 0.5654 memory: 1829 2022/08/09 15:21:00 - mmengine - INFO - Epoch(val) [68][140/155] eta: 0:00:08 time: 0.5835 data_time: 0.4495 memory: 1829 2022/08/09 15:21:13 - mmengine - INFO - Epoch(val) [68][155/155] acc/top1: 0.7117 acc/top5: 0.8974 acc/mean1: 0.7115 2022/08/09 15:21:34 - mmengine - INFO - Epoch(train) [69][20/1879] lr: 2.0000e-03 eta: 9:48:30 time: 1.0704 data_time: 0.2249 memory: 13723 grad_norm: 4.2050 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7607 loss: 0.7607 2022/08/09 15:21:48 - mmengine - INFO - Epoch(train) [69][40/1879] lr: 2.0000e-03 eta: 9:48:20 time: 0.6796 data_time: 0.0196 memory: 13723 grad_norm: 4.1771 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8372 loss: 0.8372 2022/08/09 15:21:59 - mmengine - INFO - Epoch(train) [69][60/1879] lr: 2.0000e-03 eta: 9:48:08 time: 0.5722 data_time: 0.0216 memory: 13723 grad_norm: 4.0998 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6886 loss: 0.6886 2022/08/09 15:22:14 - mmengine - INFO - Epoch(train) [69][80/1879] lr: 2.0000e-03 eta: 9:47:57 time: 0.7387 data_time: 0.0229 memory: 13723 grad_norm: 4.1733 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6912 loss: 0.6912 2022/08/09 15:22:26 - mmengine - INFO - Epoch(train) [69][100/1879] lr: 2.0000e-03 eta: 9:47:46 time: 0.6074 data_time: 0.0213 memory: 13723 grad_norm: 4.1360 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6821 loss: 0.6821 2022/08/09 15:22:38 - mmengine - INFO - Epoch(train) [69][120/1879] lr: 2.0000e-03 eta: 9:47:34 time: 0.5735 data_time: 0.0221 memory: 13723 grad_norm: 4.0368 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5601 loss: 0.5601 2022/08/09 15:22:50 - mmengine - INFO - Epoch(train) [69][140/1879] lr: 2.0000e-03 eta: 9:47:22 time: 0.6098 data_time: 0.0230 memory: 13723 grad_norm: 4.2967 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6998 loss: 0.6998 2022/08/09 15:23:05 - mmengine - INFO - Epoch(train) [69][160/1879] lr: 2.0000e-03 eta: 9:47:12 time: 0.7840 data_time: 0.0202 memory: 13723 grad_norm: 4.3866 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8477 loss: 0.8477 2022/08/09 15:23:22 - mmengine - INFO - Epoch(train) [69][180/1879] lr: 2.0000e-03 eta: 9:47:03 time: 0.8091 data_time: 0.0232 memory: 13723 grad_norm: 4.1424 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8417 loss: 0.8417 2022/08/09 15:23:33 - mmengine - INFO - Epoch(train) [69][200/1879] lr: 2.0000e-03 eta: 9:46:51 time: 0.5686 data_time: 0.0217 memory: 13723 grad_norm: 4.1233 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7027 loss: 0.7027 2022/08/09 15:23:48 - mmengine - INFO - Epoch(train) [69][220/1879] lr: 2.0000e-03 eta: 9:46:41 time: 0.7661 data_time: 0.0225 memory: 13723 grad_norm: 4.2727 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6077 loss: 0.6077 2022/08/09 15:23:53 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 15:24:00 - mmengine - INFO - Epoch(train) [69][240/1879] lr: 2.0000e-03 eta: 9:46:29 time: 0.5992 data_time: 0.0202 memory: 13723 grad_norm: 4.2738 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7159 loss: 0.7159 2022/08/09 15:24:14 - mmengine - INFO - Epoch(train) [69][260/1879] lr: 2.0000e-03 eta: 9:46:18 time: 0.6720 data_time: 0.1260 memory: 13723 grad_norm: 4.2262 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8053 loss: 0.8053 2022/08/09 15:24:29 - mmengine - INFO - Epoch(train) [69][280/1879] lr: 2.0000e-03 eta: 9:46:08 time: 0.7404 data_time: 0.1832 memory: 13723 grad_norm: 4.2436 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5974 loss: 0.5974 2022/08/09 15:24:40 - mmengine - INFO - Epoch(train) [69][300/1879] lr: 2.0000e-03 eta: 9:45:56 time: 0.5771 data_time: 0.0267 memory: 13723 grad_norm: 4.1927 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6056 loss: 0.6056 2022/08/09 15:24:57 - mmengine - INFO - Epoch(train) [69][320/1879] lr: 2.0000e-03 eta: 9:45:47 time: 0.8456 data_time: 0.0217 memory: 13723 grad_norm: 4.1745 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8495 loss: 0.8495 2022/08/09 15:25:09 - mmengine - INFO - Epoch(train) [69][340/1879] lr: 2.0000e-03 eta: 9:45:35 time: 0.5915 data_time: 0.0212 memory: 13723 grad_norm: 4.2384 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7344 loss: 0.7344 2022/08/09 15:25:24 - mmengine - INFO - Epoch(train) [69][360/1879] lr: 2.0000e-03 eta: 9:45:25 time: 0.7702 data_time: 0.0487 memory: 13723 grad_norm: 4.2549 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7042 loss: 0.7042 2022/08/09 15:25:36 - mmengine - INFO - Epoch(train) [69][380/1879] lr: 2.0000e-03 eta: 9:45:13 time: 0.5662 data_time: 0.0213 memory: 13723 grad_norm: 4.2070 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7709 loss: 0.7709 2022/08/09 15:25:51 - mmengine - INFO - Epoch(train) [69][400/1879] lr: 2.0000e-03 eta: 9:45:03 time: 0.7830 data_time: 0.0194 memory: 13723 grad_norm: 4.2714 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8444 loss: 0.8444 2022/08/09 15:26:03 - mmengine - INFO - Epoch(train) [69][420/1879] lr: 2.0000e-03 eta: 9:44:51 time: 0.5819 data_time: 0.0207 memory: 13723 grad_norm: 4.3417 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8102 loss: 0.8102 2022/08/09 15:26:15 - mmengine - INFO - Epoch(train) [69][440/1879] lr: 2.0000e-03 eta: 9:44:40 time: 0.6047 data_time: 0.0221 memory: 13723 grad_norm: 4.1690 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7430 loss: 0.7430 2022/08/09 15:26:29 - mmengine - INFO - Epoch(train) [69][460/1879] lr: 2.0000e-03 eta: 9:44:29 time: 0.6990 data_time: 0.0204 memory: 13723 grad_norm: 4.0791 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7765 loss: 0.7765 2022/08/09 15:26:44 - mmengine - INFO - Epoch(train) [69][480/1879] lr: 2.0000e-03 eta: 9:44:19 time: 0.7415 data_time: 0.0200 memory: 13723 grad_norm: 4.0664 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6853 loss: 0.6853 2022/08/09 15:26:56 - mmengine - INFO - Epoch(train) [69][500/1879] lr: 2.0000e-03 eta: 9:44:07 time: 0.6140 data_time: 0.0219 memory: 13723 grad_norm: 4.1789 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6582 loss: 0.6582 2022/08/09 15:27:10 - mmengine - INFO - Epoch(train) [69][520/1879] lr: 2.0000e-03 eta: 9:43:56 time: 0.6756 data_time: 0.0181 memory: 13723 grad_norm: 4.3373 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7085 loss: 0.7085 2022/08/09 15:27:25 - mmengine - INFO - Epoch(train) [69][540/1879] lr: 2.0000e-03 eta: 9:43:46 time: 0.7649 data_time: 0.0219 memory: 13723 grad_norm: 4.2441 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7414 loss: 0.7414 2022/08/09 15:27:38 - mmengine - INFO - Epoch(train) [69][560/1879] lr: 2.0000e-03 eta: 9:43:35 time: 0.6398 data_time: 0.0178 memory: 13723 grad_norm: 4.2869 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6214 loss: 0.6214 2022/08/09 15:27:52 - mmengine - INFO - Epoch(train) [69][580/1879] lr: 2.0000e-03 eta: 9:43:24 time: 0.6860 data_time: 0.0226 memory: 13723 grad_norm: 4.1035 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8928 loss: 0.8928 2022/08/09 15:28:05 - mmengine - INFO - Epoch(train) [69][600/1879] lr: 2.0000e-03 eta: 9:43:13 time: 0.6446 data_time: 0.0211 memory: 13723 grad_norm: 4.2555 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7846 loss: 0.7846 2022/08/09 15:28:18 - mmengine - INFO - Epoch(train) [69][620/1879] lr: 2.0000e-03 eta: 9:43:02 time: 0.6861 data_time: 0.0210 memory: 13723 grad_norm: 4.3668 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7832 loss: 0.7832 2022/08/09 15:28:32 - mmengine - INFO - Epoch(train) [69][640/1879] lr: 2.0000e-03 eta: 9:42:51 time: 0.7021 data_time: 0.0196 memory: 13723 grad_norm: 4.3153 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7390 loss: 0.7390 2022/08/09 15:28:44 - mmengine - INFO - Epoch(train) [69][660/1879] lr: 2.0000e-03 eta: 9:42:39 time: 0.5710 data_time: 0.0211 memory: 13723 grad_norm: 4.1924 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6272 loss: 0.6272 2022/08/09 15:28:57 - mmengine - INFO - Epoch(train) [69][680/1879] lr: 2.0000e-03 eta: 9:42:28 time: 0.6511 data_time: 0.0216 memory: 13723 grad_norm: 4.1188 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6562 loss: 0.6562 2022/08/09 15:29:10 - mmengine - INFO - Epoch(train) [69][700/1879] lr: 2.0000e-03 eta: 9:42:17 time: 0.6642 data_time: 0.0865 memory: 13723 grad_norm: 3.9804 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6504 loss: 0.6504 2022/08/09 15:29:24 - mmengine - INFO - Epoch(train) [69][720/1879] lr: 2.0000e-03 eta: 9:42:06 time: 0.6999 data_time: 0.1508 memory: 13723 grad_norm: 4.2635 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6984 loss: 0.6984 2022/08/09 15:29:38 - mmengine - INFO - Epoch(train) [69][740/1879] lr: 2.0000e-03 eta: 9:41:55 time: 0.6849 data_time: 0.0192 memory: 13723 grad_norm: 4.1223 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7422 loss: 0.7422 2022/08/09 15:29:50 - mmengine - INFO - Epoch(train) [69][760/1879] lr: 2.0000e-03 eta: 9:41:44 time: 0.6116 data_time: 0.0222 memory: 13723 grad_norm: 4.1721 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6539 loss: 0.6539 2022/08/09 15:30:05 - mmengine - INFO - Epoch(train) [69][780/1879] lr: 2.0000e-03 eta: 9:41:33 time: 0.7252 data_time: 0.0183 memory: 13723 grad_norm: 4.2077 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8157 loss: 0.8157 2022/08/09 15:30:21 - mmengine - INFO - Epoch(train) [69][800/1879] lr: 2.0000e-03 eta: 9:41:24 time: 0.8231 data_time: 0.1018 memory: 13723 grad_norm: 4.2979 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7350 loss: 0.7350 2022/08/09 15:30:35 - mmengine - INFO - Epoch(train) [69][820/1879] lr: 2.0000e-03 eta: 9:41:13 time: 0.7116 data_time: 0.0336 memory: 13723 grad_norm: 4.3569 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6536 loss: 0.6536 2022/08/09 15:30:47 - mmengine - INFO - Epoch(train) [69][840/1879] lr: 2.0000e-03 eta: 9:41:01 time: 0.5781 data_time: 0.0239 memory: 13723 grad_norm: 4.3217 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6719 loss: 0.6719 2022/08/09 15:30:59 - mmengine - INFO - Epoch(train) [69][860/1879] lr: 2.0000e-03 eta: 9:40:50 time: 0.5991 data_time: 0.0232 memory: 13723 grad_norm: 4.3175 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8123 loss: 0.8123 2022/08/09 15:31:13 - mmengine - INFO - Epoch(train) [69][880/1879] lr: 2.0000e-03 eta: 9:40:39 time: 0.7008 data_time: 0.0207 memory: 13723 grad_norm: 4.1947 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7598 loss: 0.7598 2022/08/09 15:31:25 - mmengine - INFO - Epoch(train) [69][900/1879] lr: 2.0000e-03 eta: 9:40:27 time: 0.5772 data_time: 0.0241 memory: 13723 grad_norm: 4.3394 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7712 loss: 0.7712 2022/08/09 15:31:36 - mmengine - INFO - Epoch(train) [69][920/1879] lr: 2.0000e-03 eta: 9:40:15 time: 0.5921 data_time: 0.0215 memory: 13723 grad_norm: 4.2823 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7354 loss: 0.7354 2022/08/09 15:31:51 - mmengine - INFO - Epoch(train) [69][940/1879] lr: 2.0000e-03 eta: 9:40:05 time: 0.7546 data_time: 0.0196 memory: 13723 grad_norm: 4.2013 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7268 loss: 0.7268 2022/08/09 15:32:03 - mmengine - INFO - Epoch(train) [69][960/1879] lr: 2.0000e-03 eta: 9:39:53 time: 0.5737 data_time: 0.0217 memory: 13723 grad_norm: 4.3974 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7772 loss: 0.7772 2022/08/09 15:32:16 - mmengine - INFO - Epoch(train) [69][980/1879] lr: 2.0000e-03 eta: 9:39:42 time: 0.6593 data_time: 0.0216 memory: 13723 grad_norm: 4.0792 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5902 loss: 0.5902 2022/08/09 15:32:29 - mmengine - INFO - Epoch(train) [69][1000/1879] lr: 2.0000e-03 eta: 9:39:31 time: 0.6632 data_time: 0.0208 memory: 13723 grad_norm: 4.1582 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6351 loss: 0.6351 2022/08/09 15:32:42 - mmengine - INFO - Epoch(train) [69][1020/1879] lr: 2.0000e-03 eta: 9:39:20 time: 0.6440 data_time: 0.0236 memory: 13723 grad_norm: 4.1954 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7356 loss: 0.7356 2022/08/09 15:32:54 - mmengine - INFO - Epoch(train) [69][1040/1879] lr: 2.0000e-03 eta: 9:39:08 time: 0.5842 data_time: 0.0199 memory: 13723 grad_norm: 4.3852 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7148 loss: 0.7148 2022/08/09 15:33:08 - mmengine - INFO - Epoch(train) [69][1060/1879] lr: 2.0000e-03 eta: 9:38:57 time: 0.6998 data_time: 0.0219 memory: 13723 grad_norm: 4.2496 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8497 loss: 0.8497 2022/08/09 15:33:23 - mmengine - INFO - Epoch(train) [69][1080/1879] lr: 2.0000e-03 eta: 9:38:47 time: 0.7342 data_time: 0.0193 memory: 13723 grad_norm: 4.2182 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8821 loss: 0.8821 2022/08/09 15:33:35 - mmengine - INFO - Epoch(train) [69][1100/1879] lr: 2.0000e-03 eta: 9:38:35 time: 0.6270 data_time: 0.0226 memory: 13723 grad_norm: 4.3300 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6687 loss: 0.6687 2022/08/09 15:33:49 - mmengine - INFO - Epoch(train) [69][1120/1879] lr: 2.0000e-03 eta: 9:38:25 time: 0.7029 data_time: 0.0202 memory: 13723 grad_norm: 4.2072 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7241 loss: 0.7241 2022/08/09 15:34:03 - mmengine - INFO - Epoch(train) [69][1140/1879] lr: 2.0000e-03 eta: 9:38:14 time: 0.6569 data_time: 0.0231 memory: 13723 grad_norm: 4.3838 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7424 loss: 0.7424 2022/08/09 15:34:17 - mmengine - INFO - Epoch(train) [69][1160/1879] lr: 2.0000e-03 eta: 9:38:03 time: 0.7271 data_time: 0.0203 memory: 13723 grad_norm: 4.1868 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7762 loss: 0.7762 2022/08/09 15:34:30 - mmengine - INFO - Epoch(train) [69][1180/1879] lr: 2.0000e-03 eta: 9:37:52 time: 0.6507 data_time: 0.0621 memory: 13723 grad_norm: 4.1308 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6430 loss: 0.6430 2022/08/09 15:34:42 - mmengine - INFO - Epoch(train) [69][1200/1879] lr: 2.0000e-03 eta: 9:37:40 time: 0.5859 data_time: 0.0245 memory: 13723 grad_norm: 4.4331 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8218 loss: 0.8218 2022/08/09 15:34:59 - mmengine - INFO - Epoch(train) [69][1220/1879] lr: 2.0000e-03 eta: 9:37:31 time: 0.8342 data_time: 0.2800 memory: 13723 grad_norm: 4.1825 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7540 loss: 0.7540 2022/08/09 15:35:03 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 15:35:15 - mmengine - INFO - Epoch(train) [69][1240/1879] lr: 2.0000e-03 eta: 9:37:21 time: 0.8462 data_time: 0.2819 memory: 13723 grad_norm: 4.1676 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7891 loss: 0.7891 2022/08/09 15:35:29 - mmengine - INFO - Epoch(train) [69][1260/1879] lr: 2.0000e-03 eta: 9:37:10 time: 0.6774 data_time: 0.1165 memory: 13723 grad_norm: 4.2110 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7695 loss: 0.7695 2022/08/09 15:35:41 - mmengine - INFO - Epoch(train) [69][1280/1879] lr: 2.0000e-03 eta: 9:36:59 time: 0.6047 data_time: 0.0214 memory: 13723 grad_norm: 4.3867 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6978 loss: 0.6978 2022/08/09 15:35:53 - mmengine - INFO - Epoch(train) [69][1300/1879] lr: 2.0000e-03 eta: 9:36:47 time: 0.6059 data_time: 0.0258 memory: 13723 grad_norm: 4.3310 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6492 loss: 0.6492 2022/08/09 15:36:07 - mmengine - INFO - Epoch(train) [69][1320/1879] lr: 2.0000e-03 eta: 9:36:36 time: 0.6677 data_time: 0.0244 memory: 13723 grad_norm: 4.1327 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7041 loss: 0.7041 2022/08/09 15:36:19 - mmengine - INFO - Epoch(train) [69][1340/1879] lr: 2.0000e-03 eta: 9:36:24 time: 0.6134 data_time: 0.0201 memory: 13723 grad_norm: 4.2422 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8149 loss: 0.8149 2022/08/09 15:36:31 - mmengine - INFO - Epoch(train) [69][1360/1879] lr: 2.0000e-03 eta: 9:36:13 time: 0.6064 data_time: 0.0202 memory: 13723 grad_norm: 4.3867 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7394 loss: 0.7394 2022/08/09 15:36:43 - mmengine - INFO - Epoch(train) [69][1380/1879] lr: 2.0000e-03 eta: 9:36:01 time: 0.5860 data_time: 0.0252 memory: 13723 grad_norm: 4.3986 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6528 loss: 0.6528 2022/08/09 15:36:58 - mmengine - INFO - Epoch(train) [69][1400/1879] lr: 2.0000e-03 eta: 9:35:51 time: 0.7749 data_time: 0.0219 memory: 13723 grad_norm: 4.2552 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6828 loss: 0.6828 2022/08/09 15:37:10 - mmengine - INFO - Epoch(train) [69][1420/1879] lr: 2.0000e-03 eta: 9:35:39 time: 0.5749 data_time: 0.0197 memory: 13723 grad_norm: 4.3714 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8069 loss: 0.8069 2022/08/09 15:37:24 - mmengine - INFO - Epoch(train) [69][1440/1879] lr: 2.0000e-03 eta: 9:35:28 time: 0.7031 data_time: 0.0209 memory: 13723 grad_norm: 4.3106 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7728 loss: 0.7728 2022/08/09 15:37:37 - mmengine - INFO - Epoch(train) [69][1460/1879] lr: 2.0000e-03 eta: 9:35:17 time: 0.6462 data_time: 0.0219 memory: 13723 grad_norm: 4.2961 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8051 loss: 0.8051 2022/08/09 15:37:48 - mmengine - INFO - Epoch(train) [69][1480/1879] lr: 2.0000e-03 eta: 9:35:05 time: 0.5795 data_time: 0.0215 memory: 13723 grad_norm: 4.3386 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8351 loss: 0.8351 2022/08/09 15:38:01 - mmengine - INFO - Epoch(train) [69][1500/1879] lr: 2.0000e-03 eta: 9:34:54 time: 0.6330 data_time: 0.0222 memory: 13723 grad_norm: 4.1994 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7783 loss: 0.7783 2022/08/09 15:38:14 - mmengine - INFO - Epoch(train) [69][1520/1879] lr: 2.0000e-03 eta: 9:34:43 time: 0.6564 data_time: 0.0226 memory: 13723 grad_norm: 4.2569 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7058 loss: 0.7058 2022/08/09 15:38:28 - mmengine - INFO - Epoch(train) [69][1540/1879] lr: 2.0000e-03 eta: 9:34:32 time: 0.6927 data_time: 0.0230 memory: 13723 grad_norm: 4.3399 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8088 loss: 0.8088 2022/08/09 15:38:40 - mmengine - INFO - Epoch(train) [69][1560/1879] lr: 2.0000e-03 eta: 9:34:20 time: 0.5741 data_time: 0.0208 memory: 13723 grad_norm: 4.2424 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7225 loss: 0.7225 2022/08/09 15:38:52 - mmengine - INFO - Epoch(train) [69][1580/1879] lr: 2.0000e-03 eta: 9:34:08 time: 0.5987 data_time: 0.0471 memory: 13723 grad_norm: 4.4019 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6988 loss: 0.6988 2022/08/09 15:39:05 - mmengine - INFO - Epoch(train) [69][1600/1879] lr: 2.0000e-03 eta: 9:33:57 time: 0.6525 data_time: 0.0236 memory: 13723 grad_norm: 4.2677 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7040 loss: 0.7040 2022/08/09 15:39:17 - mmengine - INFO - Epoch(train) [69][1620/1879] lr: 2.0000e-03 eta: 9:33:46 time: 0.6201 data_time: 0.0223 memory: 13723 grad_norm: 4.3394 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6902 loss: 0.6902 2022/08/09 15:39:32 - mmengine - INFO - Epoch(train) [69][1640/1879] lr: 2.0000e-03 eta: 9:33:35 time: 0.7429 data_time: 0.0238 memory: 13723 grad_norm: 4.2044 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8272 loss: 0.8272 2022/08/09 15:39:44 - mmengine - INFO - Epoch(train) [69][1660/1879] lr: 2.0000e-03 eta: 9:33:24 time: 0.5829 data_time: 0.0241 memory: 13723 grad_norm: 4.2938 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7997 loss: 0.7997 2022/08/09 15:39:57 - mmengine - INFO - Epoch(train) [69][1680/1879] lr: 2.0000e-03 eta: 9:33:13 time: 0.6837 data_time: 0.0253 memory: 13723 grad_norm: 4.3776 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7682 loss: 0.7682 2022/08/09 15:40:14 - mmengine - INFO - Epoch(train) [69][1700/1879] lr: 2.0000e-03 eta: 9:33:03 time: 0.8518 data_time: 0.0179 memory: 13723 grad_norm: 4.2649 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7977 loss: 0.7977 2022/08/09 15:40:29 - mmengine - INFO - Epoch(train) [69][1720/1879] lr: 2.0000e-03 eta: 9:32:53 time: 0.7176 data_time: 0.0237 memory: 13723 grad_norm: 4.1571 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6827 loss: 0.6827 2022/08/09 15:40:41 - mmengine - INFO - Epoch(train) [69][1740/1879] lr: 2.0000e-03 eta: 9:32:41 time: 0.6038 data_time: 0.0240 memory: 13723 grad_norm: 4.2952 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6988 loss: 0.6988 2022/08/09 15:40:53 - mmengine - INFO - Epoch(train) [69][1760/1879] lr: 2.0000e-03 eta: 9:32:29 time: 0.6153 data_time: 0.0207 memory: 13723 grad_norm: 4.3511 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7185 loss: 0.7185 2022/08/09 15:41:05 - mmengine - INFO - Epoch(train) [69][1780/1879] lr: 2.0000e-03 eta: 9:32:18 time: 0.6118 data_time: 0.0222 memory: 13723 grad_norm: 4.3697 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8631 loss: 0.8631 2022/08/09 15:41:17 - mmengine - INFO - Epoch(train) [69][1800/1879] lr: 2.0000e-03 eta: 9:32:06 time: 0.5977 data_time: 0.0237 memory: 13723 grad_norm: 4.3700 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6755 loss: 0.6755 2022/08/09 15:41:30 - mmengine - INFO - Epoch(train) [69][1820/1879] lr: 2.0000e-03 eta: 9:31:55 time: 0.6061 data_time: 0.0247 memory: 13723 grad_norm: 4.3051 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7617 loss: 0.7617 2022/08/09 15:41:46 - mmengine - INFO - Epoch(train) [69][1840/1879] lr: 2.0000e-03 eta: 9:31:45 time: 0.7976 data_time: 0.0203 memory: 13723 grad_norm: 4.3408 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7315 loss: 0.7315 2022/08/09 15:41:57 - mmengine - INFO - Epoch(train) [69][1860/1879] lr: 2.0000e-03 eta: 9:31:33 time: 0.5808 data_time: 0.0202 memory: 13723 grad_norm: 4.3062 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7337 loss: 0.7337 2022/08/09 15:42:09 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 15:42:09 - mmengine - INFO - Epoch(train) [69][1879/1879] lr: 2.0000e-03 eta: 9:31:33 time: 0.6022 data_time: 0.0159 memory: 13723 grad_norm: 4.4606 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8909 loss: 0.8909 2022/08/09 15:42:09 - mmengine - INFO - Saving checkpoint at 69 epochs 2022/08/09 15:42:22 - mmengine - INFO - Epoch(val) [69][20/155] eta: 0:01:21 time: 0.6035 data_time: 0.4635 memory: 1829 2022/08/09 15:42:36 - mmengine - INFO - Epoch(val) [69][40/155] eta: 0:01:18 time: 0.6814 data_time: 0.5428 memory: 1829 2022/08/09 15:42:47 - mmengine - INFO - Epoch(val) [69][60/155] eta: 0:00:50 time: 0.5361 data_time: 0.3975 memory: 1829 2022/08/09 15:43:00 - mmengine - INFO - Epoch(val) [69][80/155] eta: 0:00:48 time: 0.6519 data_time: 0.5134 memory: 1829 2022/08/09 15:43:10 - mmengine - INFO - Epoch(val) [69][100/155] eta: 0:00:28 time: 0.5216 data_time: 0.3832 memory: 1829 2022/08/09 15:43:25 - mmengine - INFO - Epoch(val) [69][120/155] eta: 0:00:25 time: 0.7289 data_time: 0.5912 memory: 1829 2022/08/09 15:43:33 - mmengine - INFO - Epoch(val) [69][140/155] eta: 0:00:05 time: 0.3800 data_time: 0.2438 memory: 1829 2022/08/09 15:43:44 - mmengine - INFO - Epoch(val) [69][155/155] acc/top1: 0.7118 acc/top5: 0.8972 acc/mean1: 0.7117 2022/08/09 15:44:04 - mmengine - INFO - Epoch(train) [70][20/1879] lr: 2.0000e-03 eta: 9:31:08 time: 0.9821 data_time: 0.1937 memory: 13723 grad_norm: 4.2469 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8182 loss: 0.8182 2022/08/09 15:44:17 - mmengine - INFO - Epoch(train) [70][40/1879] lr: 2.0000e-03 eta: 9:30:57 time: 0.6330 data_time: 0.0211 memory: 13723 grad_norm: 4.2185 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7025 loss: 0.7025 2022/08/09 15:44:32 - mmengine - INFO - Epoch(train) [70][60/1879] lr: 2.0000e-03 eta: 9:30:47 time: 0.7373 data_time: 0.0200 memory: 13723 grad_norm: 4.2074 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8241 loss: 0.8241 2022/08/09 15:44:45 - mmengine - INFO - Epoch(train) [70][80/1879] lr: 2.0000e-03 eta: 9:30:36 time: 0.6890 data_time: 0.0210 memory: 13723 grad_norm: 4.1145 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7207 loss: 0.7207 2022/08/09 15:45:00 - mmengine - INFO - Epoch(train) [70][100/1879] lr: 2.0000e-03 eta: 9:30:25 time: 0.7467 data_time: 0.1712 memory: 13723 grad_norm: 4.2840 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6835 loss: 0.6835 2022/08/09 15:45:15 - mmengine - INFO - Epoch(train) [70][120/1879] lr: 2.0000e-03 eta: 9:30:15 time: 0.7131 data_time: 0.1635 memory: 13723 grad_norm: 4.2989 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9017 loss: 0.9017 2022/08/09 15:45:30 - mmengine - INFO - Epoch(train) [70][140/1879] lr: 2.0000e-03 eta: 9:30:04 time: 0.7478 data_time: 0.1982 memory: 13723 grad_norm: 4.2007 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6961 loss: 0.6961 2022/08/09 15:45:43 - mmengine - INFO - Epoch(train) [70][160/1879] lr: 2.0000e-03 eta: 9:29:53 time: 0.6739 data_time: 0.1226 memory: 13723 grad_norm: 4.2590 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6991 loss: 0.6991 2022/08/09 15:45:58 - mmengine - INFO - Epoch(train) [70][180/1879] lr: 2.0000e-03 eta: 9:29:43 time: 0.7644 data_time: 0.1687 memory: 13723 grad_norm: 4.0966 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7025 loss: 0.7025 2022/08/09 15:46:16 - mmengine - INFO - Epoch(train) [70][200/1879] lr: 2.0000e-03 eta: 9:29:34 time: 0.8903 data_time: 0.0164 memory: 13723 grad_norm: 4.2287 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8146 loss: 0.8146 2022/08/09 15:46:28 - mmengine - INFO - Epoch(train) [70][220/1879] lr: 2.0000e-03 eta: 9:29:22 time: 0.5937 data_time: 0.0219 memory: 13723 grad_norm: 4.0724 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6489 loss: 0.6489 2022/08/09 15:46:43 - mmengine - INFO - Epoch(train) [70][240/1879] lr: 2.0000e-03 eta: 9:29:12 time: 0.7238 data_time: 0.0185 memory: 13723 grad_norm: 4.1787 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8097 loss: 0.8097 2022/08/09 15:46:59 - mmengine - INFO - Epoch(train) [70][260/1879] lr: 2.0000e-03 eta: 9:29:02 time: 0.8029 data_time: 0.0227 memory: 13723 grad_norm: 4.2960 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6450 loss: 0.6450 2022/08/09 15:47:10 - mmengine - INFO - Epoch(train) [70][280/1879] lr: 2.0000e-03 eta: 9:28:50 time: 0.5710 data_time: 0.0243 memory: 13723 grad_norm: 4.2535 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6390 loss: 0.6390 2022/08/09 15:47:25 - mmengine - INFO - Epoch(train) [70][300/1879] lr: 2.0000e-03 eta: 9:28:40 time: 0.7651 data_time: 0.0742 memory: 13723 grad_norm: 4.2570 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6770 loss: 0.6770 2022/08/09 15:47:40 - mmengine - INFO - Epoch(train) [70][320/1879] lr: 2.0000e-03 eta: 9:28:30 time: 0.7535 data_time: 0.2073 memory: 13723 grad_norm: 4.1973 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7054 loss: 0.7054 2022/08/09 15:47:52 - mmengine - INFO - Epoch(train) [70][340/1879] lr: 2.0000e-03 eta: 9:28:18 time: 0.5914 data_time: 0.0204 memory: 13723 grad_norm: 4.3583 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8316 loss: 0.8316 2022/08/09 15:47:59 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 15:48:06 - mmengine - INFO - Epoch(train) [70][360/1879] lr: 2.0000e-03 eta: 9:28:07 time: 0.6704 data_time: 0.0182 memory: 13723 grad_norm: 4.0640 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6019 loss: 0.6019 2022/08/09 15:48:23 - mmengine - INFO - Epoch(train) [70][380/1879] lr: 2.0000e-03 eta: 9:27:57 time: 0.8760 data_time: 0.0229 memory: 13723 grad_norm: 4.3003 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7009 loss: 0.7009 2022/08/09 15:48:36 - mmengine - INFO - Epoch(train) [70][400/1879] lr: 2.0000e-03 eta: 9:27:46 time: 0.6244 data_time: 0.0211 memory: 13723 grad_norm: 4.3377 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8384 loss: 0.8384 2022/08/09 15:48:47 - mmengine - INFO - Epoch(train) [70][420/1879] lr: 2.0000e-03 eta: 9:27:34 time: 0.5836 data_time: 0.0264 memory: 13723 grad_norm: 4.2589 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7180 loss: 0.7180 2022/08/09 15:49:02 - mmengine - INFO - Epoch(train) [70][440/1879] lr: 2.0000e-03 eta: 9:27:23 time: 0.7030 data_time: 0.0305 memory: 13723 grad_norm: 4.2833 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7026 loss: 0.7026 2022/08/09 15:49:16 - mmengine - INFO - Epoch(train) [70][460/1879] lr: 2.0000e-03 eta: 9:27:13 time: 0.6998 data_time: 0.0218 memory: 13723 grad_norm: 4.0593 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6233 loss: 0.6233 2022/08/09 15:49:28 - mmengine - INFO - Epoch(train) [70][480/1879] lr: 2.0000e-03 eta: 9:27:01 time: 0.6383 data_time: 0.0196 memory: 13723 grad_norm: 4.3231 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7166 loss: 0.7166 2022/08/09 15:49:41 - mmengine - INFO - Epoch(train) [70][500/1879] lr: 2.0000e-03 eta: 9:26:50 time: 0.6153 data_time: 0.0239 memory: 13723 grad_norm: 4.2897 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7514 loss: 0.7514 2022/08/09 15:49:56 - mmengine - INFO - Epoch(train) [70][520/1879] lr: 2.0000e-03 eta: 9:26:40 time: 0.7824 data_time: 0.0193 memory: 13723 grad_norm: 4.2690 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5608 loss: 0.5608 2022/08/09 15:50:16 - mmengine - INFO - Epoch(train) [70][540/1879] lr: 2.0000e-03 eta: 9:26:31 time: 0.9809 data_time: 0.0193 memory: 13723 grad_norm: 4.1170 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6765 loss: 0.6765 2022/08/09 15:50:31 - mmengine - INFO - Epoch(train) [70][560/1879] lr: 2.0000e-03 eta: 9:26:21 time: 0.7307 data_time: 0.0197 memory: 13723 grad_norm: 4.3563 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8178 loss: 0.8178 2022/08/09 15:50:43 - mmengine - INFO - Epoch(train) [70][580/1879] lr: 2.0000e-03 eta: 9:26:09 time: 0.6347 data_time: 0.0205 memory: 13723 grad_norm: 4.3339 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7390 loss: 0.7390 2022/08/09 15:50:57 - mmengine - INFO - Epoch(train) [70][600/1879] lr: 2.0000e-03 eta: 9:25:58 time: 0.6781 data_time: 0.0213 memory: 13723 grad_norm: 4.3266 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6597 loss: 0.6597 2022/08/09 15:51:10 - mmengine - INFO - Epoch(train) [70][620/1879] lr: 2.0000e-03 eta: 9:25:47 time: 0.6438 data_time: 0.0227 memory: 13723 grad_norm: 4.2822 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7263 loss: 0.7263 2022/08/09 15:51:26 - mmengine - INFO - Epoch(train) [70][640/1879] lr: 2.0000e-03 eta: 9:25:37 time: 0.8067 data_time: 0.0181 memory: 13723 grad_norm: 4.3046 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8681 loss: 0.8681 2022/08/09 15:51:40 - mmengine - INFO - Epoch(train) [70][660/1879] lr: 2.0000e-03 eta: 9:25:26 time: 0.6943 data_time: 0.0207 memory: 13723 grad_norm: 4.3189 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8348 loss: 0.8348 2022/08/09 15:51:55 - mmengine - INFO - Epoch(train) [70][680/1879] lr: 2.0000e-03 eta: 9:25:16 time: 0.7826 data_time: 0.0219 memory: 13723 grad_norm: 4.3973 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7128 loss: 0.7128 2022/08/09 15:52:10 - mmengine - INFO - Epoch(train) [70][700/1879] lr: 2.0000e-03 eta: 9:25:06 time: 0.7133 data_time: 0.0225 memory: 13723 grad_norm: 4.3056 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8216 loss: 0.8216 2022/08/09 15:52:26 - mmengine - INFO - Epoch(train) [70][720/1879] lr: 2.0000e-03 eta: 9:24:56 time: 0.8153 data_time: 0.0162 memory: 13723 grad_norm: 4.3730 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6769 loss: 0.6769 2022/08/09 15:52:39 - mmengine - INFO - Epoch(train) [70][740/1879] lr: 2.0000e-03 eta: 9:24:45 time: 0.6560 data_time: 0.0258 memory: 13723 grad_norm: 4.1416 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6536 loss: 0.6536 2022/08/09 15:52:52 - mmengine - INFO - Epoch(train) [70][760/1879] lr: 2.0000e-03 eta: 9:24:33 time: 0.6370 data_time: 0.0190 memory: 13723 grad_norm: 4.2805 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7725 loss: 0.7725 2022/08/09 15:53:08 - mmengine - INFO - Epoch(train) [70][780/1879] lr: 2.0000e-03 eta: 9:24:23 time: 0.7890 data_time: 0.0212 memory: 13723 grad_norm: 4.3818 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7765 loss: 0.7765 2022/08/09 15:53:21 - mmengine - INFO - Epoch(train) [70][800/1879] lr: 2.0000e-03 eta: 9:24:12 time: 0.6845 data_time: 0.0176 memory: 13723 grad_norm: 4.3769 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8024 loss: 0.8024 2022/08/09 15:53:37 - mmengine - INFO - Epoch(train) [70][820/1879] lr: 2.0000e-03 eta: 9:24:02 time: 0.7931 data_time: 0.0215 memory: 13723 grad_norm: 4.2613 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7608 loss: 0.7608 2022/08/09 15:53:52 - mmengine - INFO - Epoch(train) [70][840/1879] lr: 2.0000e-03 eta: 9:23:52 time: 0.7396 data_time: 0.0189 memory: 13723 grad_norm: 4.2063 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7143 loss: 0.7143 2022/08/09 15:54:07 - mmengine - INFO - Epoch(train) [70][860/1879] lr: 2.0000e-03 eta: 9:23:41 time: 0.7394 data_time: 0.0189 memory: 13723 grad_norm: 4.4840 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7864 loss: 0.7864 2022/08/09 15:54:24 - mmengine - INFO - Epoch(train) [70][880/1879] lr: 2.0000e-03 eta: 9:23:32 time: 0.8290 data_time: 0.0192 memory: 13723 grad_norm: 4.1981 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8440 loss: 0.8440 2022/08/09 15:54:36 - mmengine - INFO - Epoch(train) [70][900/1879] lr: 2.0000e-03 eta: 9:23:20 time: 0.6428 data_time: 0.0251 memory: 13723 grad_norm: 4.3372 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7804 loss: 0.7804 2022/08/09 15:54:50 - mmengine - INFO - Epoch(train) [70][920/1879] lr: 2.0000e-03 eta: 9:23:09 time: 0.6587 data_time: 0.0220 memory: 13723 grad_norm: 4.2132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7251 loss: 0.7251 2022/08/09 15:55:03 - mmengine - INFO - Epoch(train) [70][940/1879] lr: 2.0000e-03 eta: 9:22:58 time: 0.6888 data_time: 0.0221 memory: 13723 grad_norm: 4.2216 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.6680 loss: 0.6680 2022/08/09 15:55:17 - mmengine - INFO - Epoch(train) [70][960/1879] lr: 2.0000e-03 eta: 9:22:47 time: 0.6755 data_time: 0.0490 memory: 13723 grad_norm: 4.3050 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8123 loss: 0.8123 2022/08/09 15:55:33 - mmengine - INFO - Epoch(train) [70][980/1879] lr: 2.0000e-03 eta: 9:22:37 time: 0.7941 data_time: 0.0207 memory: 13723 grad_norm: 4.2388 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7108 loss: 0.7108 2022/08/09 15:55:47 - mmengine - INFO - Epoch(train) [70][1000/1879] lr: 2.0000e-03 eta: 9:22:27 time: 0.7124 data_time: 0.0177 memory: 13723 grad_norm: 4.2703 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6950 loss: 0.6950 2022/08/09 15:56:01 - mmengine - INFO - Epoch(train) [70][1020/1879] lr: 2.0000e-03 eta: 9:22:16 time: 0.6857 data_time: 0.0363 memory: 13723 grad_norm: 4.0964 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7035 loss: 0.7035 2022/08/09 15:56:16 - mmengine - INFO - Epoch(train) [70][1040/1879] lr: 2.0000e-03 eta: 9:22:05 time: 0.7621 data_time: 0.0163 memory: 13723 grad_norm: 4.5617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6830 loss: 0.6830 2022/08/09 15:56:30 - mmengine - INFO - Epoch(train) [70][1060/1879] lr: 2.0000e-03 eta: 9:21:54 time: 0.6826 data_time: 0.0272 memory: 13723 grad_norm: 4.2249 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7358 loss: 0.7358 2022/08/09 15:56:42 - mmengine - INFO - Epoch(train) [70][1080/1879] lr: 2.0000e-03 eta: 9:21:43 time: 0.6198 data_time: 0.0200 memory: 13723 grad_norm: 4.2766 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8428 loss: 0.8428 2022/08/09 15:56:56 - mmengine - INFO - Epoch(train) [70][1100/1879] lr: 2.0000e-03 eta: 9:21:32 time: 0.6989 data_time: 0.0218 memory: 13723 grad_norm: 4.3807 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6858 loss: 0.6858 2022/08/09 15:57:10 - mmengine - INFO - Epoch(train) [70][1120/1879] lr: 2.0000e-03 eta: 9:21:21 time: 0.7059 data_time: 0.0727 memory: 13723 grad_norm: 4.2405 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6681 loss: 0.6681 2022/08/09 15:57:26 - mmengine - INFO - Epoch(train) [70][1140/1879] lr: 2.0000e-03 eta: 9:21:11 time: 0.7631 data_time: 0.2095 memory: 13723 grad_norm: 4.2452 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7754 loss: 0.7754 2022/08/09 15:57:38 - mmengine - INFO - Epoch(train) [70][1160/1879] lr: 2.0000e-03 eta: 9:20:59 time: 0.6053 data_time: 0.0218 memory: 13723 grad_norm: 4.1644 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6187 loss: 0.6187 2022/08/09 15:57:51 - mmengine - INFO - Epoch(train) [70][1180/1879] lr: 2.0000e-03 eta: 9:20:48 time: 0.6442 data_time: 0.0267 memory: 13723 grad_norm: 4.2602 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7950 loss: 0.7950 2022/08/09 15:58:04 - mmengine - INFO - Epoch(train) [70][1200/1879] lr: 2.0000e-03 eta: 9:20:37 time: 0.6671 data_time: 0.0161 memory: 13723 grad_norm: 4.2697 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7121 loss: 0.7121 2022/08/09 15:58:25 - mmengine - INFO - Epoch(train) [70][1220/1879] lr: 2.0000e-03 eta: 9:20:29 time: 1.0623 data_time: 0.0197 memory: 13723 grad_norm: 4.4095 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8195 loss: 0.8195 2022/08/09 15:58:36 - mmengine - INFO - Epoch(train) [70][1240/1879] lr: 2.0000e-03 eta: 9:20:17 time: 0.5629 data_time: 0.0205 memory: 13723 grad_norm: 4.2967 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7737 loss: 0.7737 2022/08/09 15:58:52 - mmengine - INFO - Epoch(train) [70][1260/1879] lr: 2.0000e-03 eta: 9:20:07 time: 0.7719 data_time: 0.0217 memory: 13723 grad_norm: 4.3353 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8531 loss: 0.8531 2022/08/09 15:59:05 - mmengine - INFO - Epoch(train) [70][1280/1879] lr: 2.0000e-03 eta: 9:19:56 time: 0.6368 data_time: 0.0231 memory: 13723 grad_norm: 4.2990 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7738 loss: 0.7738 2022/08/09 15:59:17 - mmengine - INFO - Epoch(train) [70][1300/1879] lr: 2.0000e-03 eta: 9:19:44 time: 0.6321 data_time: 0.0241 memory: 13723 grad_norm: 4.2724 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8159 loss: 0.8159 2022/08/09 15:59:33 - mmengine - INFO - Epoch(train) [70][1320/1879] lr: 2.0000e-03 eta: 9:19:34 time: 0.7929 data_time: 0.0225 memory: 13723 grad_norm: 4.3195 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7667 loss: 0.7667 2022/08/09 15:59:47 - mmengine - INFO - Epoch(train) [70][1340/1879] lr: 2.0000e-03 eta: 9:19:23 time: 0.6785 data_time: 0.0204 memory: 13723 grad_norm: 4.1944 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7431 loss: 0.7431 2022/08/09 15:59:52 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 15:59:59 - mmengine - INFO - Epoch(train) [70][1360/1879] lr: 2.0000e-03 eta: 9:19:12 time: 0.6347 data_time: 0.0218 memory: 13723 grad_norm: 4.4052 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7610 loss: 0.7610 2022/08/09 16:00:15 - mmengine - INFO - Epoch(train) [70][1380/1879] lr: 2.0000e-03 eta: 9:19:02 time: 0.8003 data_time: 0.0206 memory: 13723 grad_norm: 4.2576 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7299 loss: 0.7299 2022/08/09 16:00:30 - mmengine - INFO - Epoch(train) [70][1400/1879] lr: 2.0000e-03 eta: 9:18:51 time: 0.7310 data_time: 0.0216 memory: 13723 grad_norm: 4.2561 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7058 loss: 0.7058 2022/08/09 16:00:45 - mmengine - INFO - Epoch(train) [70][1420/1879] lr: 2.0000e-03 eta: 9:18:41 time: 0.7624 data_time: 0.0238 memory: 13723 grad_norm: 4.2977 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.7163 loss: 0.7163 2022/08/09 16:01:01 - mmengine - INFO - Epoch(train) [70][1440/1879] lr: 2.0000e-03 eta: 9:18:31 time: 0.7616 data_time: 0.0174 memory: 13723 grad_norm: 4.2444 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6759 loss: 0.6759 2022/08/09 16:01:18 - mmengine - INFO - Epoch(train) [70][1460/1879] lr: 2.0000e-03 eta: 9:18:21 time: 0.8700 data_time: 0.0200 memory: 13723 grad_norm: 4.3974 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7871 loss: 0.7871 2022/08/09 16:01:29 - mmengine - INFO - Epoch(train) [70][1480/1879] lr: 2.0000e-03 eta: 9:18:09 time: 0.5732 data_time: 0.0229 memory: 13723 grad_norm: 4.3429 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7738 loss: 0.7738 2022/08/09 16:01:41 - mmengine - INFO - Epoch(train) [70][1500/1879] lr: 2.0000e-03 eta: 9:17:57 time: 0.5828 data_time: 0.0265 memory: 13723 grad_norm: 4.3384 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8065 loss: 0.8065 2022/08/09 16:01:58 - mmengine - INFO - Epoch(train) [70][1520/1879] lr: 2.0000e-03 eta: 9:17:48 time: 0.8162 data_time: 0.0214 memory: 13723 grad_norm: 4.3216 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7747 loss: 0.7747 2022/08/09 16:02:11 - mmengine - INFO - Epoch(train) [70][1540/1879] lr: 2.0000e-03 eta: 9:17:37 time: 0.6740 data_time: 0.0190 memory: 13723 grad_norm: 4.3099 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7171 loss: 0.7171 2022/08/09 16:02:23 - mmengine - INFO - Epoch(train) [70][1560/1879] lr: 2.0000e-03 eta: 9:17:25 time: 0.6096 data_time: 0.0445 memory: 13723 grad_norm: 4.2638 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7526 loss: 0.7526 2022/08/09 16:02:38 - mmengine - INFO - Epoch(train) [70][1580/1879] lr: 2.0000e-03 eta: 9:17:14 time: 0.7231 data_time: 0.1654 memory: 13723 grad_norm: 4.3753 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7236 loss: 0.7236 2022/08/09 16:02:52 - mmengine - INFO - Epoch(train) [70][1600/1879] lr: 2.0000e-03 eta: 9:17:03 time: 0.6938 data_time: 0.0346 memory: 13723 grad_norm: 4.2728 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7308 loss: 0.7308 2022/08/09 16:03:04 - mmengine - INFO - Epoch(train) [70][1620/1879] lr: 2.0000e-03 eta: 9:16:52 time: 0.6421 data_time: 0.0238 memory: 13723 grad_norm: 4.1939 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7888 loss: 0.7888 2022/08/09 16:03:19 - mmengine - INFO - Epoch(train) [70][1640/1879] lr: 2.0000e-03 eta: 9:16:41 time: 0.7071 data_time: 0.0892 memory: 13723 grad_norm: 4.3755 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8127 loss: 0.8127 2022/08/09 16:03:30 - mmengine - INFO - Epoch(train) [70][1660/1879] lr: 2.0000e-03 eta: 9:16:29 time: 0.5798 data_time: 0.0221 memory: 13723 grad_norm: 4.1896 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7094 loss: 0.7094 2022/08/09 16:03:46 - mmengine - INFO - Epoch(train) [70][1680/1879] lr: 2.0000e-03 eta: 9:16:19 time: 0.8052 data_time: 0.1352 memory: 13723 grad_norm: 4.3352 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7990 loss: 0.7990 2022/08/09 16:03:58 - mmengine - INFO - Epoch(train) [70][1700/1879] lr: 2.0000e-03 eta: 9:16:08 time: 0.5980 data_time: 0.0188 memory: 13723 grad_norm: 4.3748 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7398 loss: 0.7398 2022/08/09 16:04:12 - mmengine - INFO - Epoch(train) [70][1720/1879] lr: 2.0000e-03 eta: 9:15:56 time: 0.6644 data_time: 0.1048 memory: 13723 grad_norm: 4.4109 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7559 loss: 0.7559 2022/08/09 16:04:23 - mmengine - INFO - Epoch(train) [70][1740/1879] lr: 2.0000e-03 eta: 9:15:45 time: 0.5950 data_time: 0.0209 memory: 13723 grad_norm: 4.2212 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7514 loss: 0.7514 2022/08/09 16:04:37 - mmengine - INFO - Epoch(train) [70][1760/1879] lr: 2.0000e-03 eta: 9:15:34 time: 0.6584 data_time: 0.0213 memory: 13723 grad_norm: 4.3489 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8139 loss: 0.8139 2022/08/09 16:04:53 - mmengine - INFO - Epoch(train) [70][1780/1879] lr: 2.0000e-03 eta: 9:15:24 time: 0.8013 data_time: 0.0210 memory: 13723 grad_norm: 4.3988 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6942 loss: 0.6942 2022/08/09 16:05:09 - mmengine - INFO - Epoch(train) [70][1800/1879] lr: 2.0000e-03 eta: 9:15:14 time: 0.8159 data_time: 0.0190 memory: 13723 grad_norm: 4.2762 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7038 loss: 0.7038 2022/08/09 16:05:22 - mmengine - INFO - Epoch(train) [70][1820/1879] lr: 2.0000e-03 eta: 9:15:02 time: 0.6492 data_time: 0.0262 memory: 13723 grad_norm: 4.3558 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8137 loss: 0.8137 2022/08/09 16:05:37 - mmengine - INFO - Epoch(train) [70][1840/1879] lr: 2.0000e-03 eta: 9:14:52 time: 0.7367 data_time: 0.0162 memory: 13723 grad_norm: 4.3123 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7503 loss: 0.7503 2022/08/09 16:05:52 - mmengine - INFO - Epoch(train) [70][1860/1879] lr: 2.0000e-03 eta: 9:14:42 time: 0.7676 data_time: 0.0226 memory: 13723 grad_norm: 4.2687 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8381 loss: 0.8381 2022/08/09 16:06:02 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 16:06:02 - mmengine - INFO - Epoch(train) [70][1879/1879] lr: 2.0000e-03 eta: 9:14:42 time: 0.5330 data_time: 0.0166 memory: 13723 grad_norm: 4.4406 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6897 loss: 0.6897 2022/08/09 16:06:17 - mmengine - INFO - Epoch(val) [70][20/155] eta: 0:01:38 time: 0.7272 data_time: 0.5877 memory: 1829 2022/08/09 16:06:26 - mmengine - INFO - Epoch(val) [70][40/155] eta: 0:00:54 time: 0.4712 data_time: 0.3285 memory: 1829 2022/08/09 16:06:42 - mmengine - INFO - Epoch(val) [70][60/155] eta: 0:01:13 time: 0.7740 data_time: 0.6360 memory: 1829 2022/08/09 16:06:51 - mmengine - INFO - Epoch(val) [70][80/155] eta: 0:00:35 time: 0.4704 data_time: 0.3315 memory: 1829 2022/08/09 16:07:02 - mmengine - INFO - Epoch(val) [70][100/155] eta: 0:00:29 time: 0.5449 data_time: 0.4081 memory: 1829 2022/08/09 16:07:12 - mmengine - INFO - Epoch(val) [70][120/155] eta: 0:00:16 time: 0.4830 data_time: 0.3470 memory: 1829 2022/08/09 16:07:28 - mmengine - INFO - Epoch(val) [70][140/155] eta: 0:00:12 time: 0.8032 data_time: 0.6691 memory: 1829 2022/08/09 16:07:56 - mmengine - INFO - Epoch(val) [70][155/155] acc/top1: 0.7105 acc/top5: 0.8976 acc/mean1: 0.7105 2022/08/09 16:08:18 - mmengine - INFO - Epoch(train) [71][20/1879] lr: 2.0000e-03 eta: 9:14:18 time: 1.0866 data_time: 0.3497 memory: 13723 grad_norm: 4.3916 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8163 loss: 0.8163 2022/08/09 16:08:35 - mmengine - INFO - Epoch(train) [71][40/1879] lr: 2.0000e-03 eta: 9:14:08 time: 0.8491 data_time: 0.0310 memory: 13723 grad_norm: 4.2909 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7525 loss: 0.7525 2022/08/09 16:08:48 - mmengine - INFO - Epoch(train) [71][60/1879] lr: 2.0000e-03 eta: 9:13:57 time: 0.6407 data_time: 0.0238 memory: 13723 grad_norm: 4.2516 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6718 loss: 0.6718 2022/08/09 16:08:59 - mmengine - INFO - Epoch(train) [71][80/1879] lr: 2.0000e-03 eta: 9:13:45 time: 0.5857 data_time: 0.0232 memory: 13723 grad_norm: 4.1615 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7302 loss: 0.7302 2022/08/09 16:09:14 - mmengine - INFO - Epoch(train) [71][100/1879] lr: 2.0000e-03 eta: 9:13:34 time: 0.7148 data_time: 0.0219 memory: 13723 grad_norm: 4.3437 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7650 loss: 0.7650 2022/08/09 16:09:26 - mmengine - INFO - Epoch(train) [71][120/1879] lr: 2.0000e-03 eta: 9:13:23 time: 0.6058 data_time: 0.0252 memory: 13723 grad_norm: 4.3882 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7488 loss: 0.7488 2022/08/09 16:09:40 - mmengine - INFO - Epoch(train) [71][140/1879] lr: 2.0000e-03 eta: 9:13:12 time: 0.7259 data_time: 0.0245 memory: 13723 grad_norm: 4.4553 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6593 loss: 0.6593 2022/08/09 16:09:56 - mmengine - INFO - Epoch(train) [71][160/1879] lr: 2.0000e-03 eta: 9:13:02 time: 0.7776 data_time: 0.0191 memory: 13723 grad_norm: 4.2982 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7813 loss: 0.7813 2022/08/09 16:10:11 - mmengine - INFO - Epoch(train) [71][180/1879] lr: 2.0000e-03 eta: 9:12:52 time: 0.7628 data_time: 0.0190 memory: 13723 grad_norm: 4.3761 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8271 loss: 0.8271 2022/08/09 16:10:26 - mmengine - INFO - Epoch(train) [71][200/1879] lr: 2.0000e-03 eta: 9:12:41 time: 0.7473 data_time: 0.0183 memory: 13723 grad_norm: 4.2453 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6919 loss: 0.6919 2022/08/09 16:10:43 - mmengine - INFO - Epoch(train) [71][220/1879] lr: 2.0000e-03 eta: 9:12:31 time: 0.8446 data_time: 0.0600 memory: 13723 grad_norm: 4.2244 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7564 loss: 0.7564 2022/08/09 16:11:00 - mmengine - INFO - Epoch(train) [71][240/1879] lr: 2.0000e-03 eta: 9:12:22 time: 0.8267 data_time: 0.2852 memory: 13723 grad_norm: 4.3414 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6761 loss: 0.6761 2022/08/09 16:11:11 - mmengine - INFO - Epoch(train) [71][260/1879] lr: 2.0000e-03 eta: 9:12:10 time: 0.5718 data_time: 0.0235 memory: 13723 grad_norm: 4.2406 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8136 loss: 0.8136 2022/08/09 16:11:26 - mmengine - INFO - Epoch(train) [71][280/1879] lr: 2.0000e-03 eta: 9:11:59 time: 0.7243 data_time: 0.1018 memory: 13723 grad_norm: 4.2578 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6639 loss: 0.6639 2022/08/09 16:11:41 - mmengine - INFO - Epoch(train) [71][300/1879] lr: 2.0000e-03 eta: 9:11:49 time: 0.7759 data_time: 0.0162 memory: 13723 grad_norm: 4.3260 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7556 loss: 0.7556 2022/08/09 16:11:56 - mmengine - INFO - Epoch(train) [71][320/1879] lr: 2.0000e-03 eta: 9:11:38 time: 0.7321 data_time: 0.0231 memory: 13723 grad_norm: 4.4622 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7693 loss: 0.7693 2022/08/09 16:12:12 - mmengine - INFO - Epoch(train) [71][340/1879] lr: 2.0000e-03 eta: 9:11:28 time: 0.8198 data_time: 0.0221 memory: 13723 grad_norm: 4.3531 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8066 loss: 0.8066 2022/08/09 16:12:27 - mmengine - INFO - Epoch(train) [71][360/1879] lr: 2.0000e-03 eta: 9:11:18 time: 0.7469 data_time: 0.0225 memory: 13723 grad_norm: 4.2550 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7588 loss: 0.7588 2022/08/09 16:12:39 - mmengine - INFO - Epoch(train) [71][380/1879] lr: 2.0000e-03 eta: 9:11:06 time: 0.5744 data_time: 0.0195 memory: 13723 grad_norm: 4.2024 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7024 loss: 0.7024 2022/08/09 16:12:52 - mmengine - INFO - Epoch(train) [71][400/1879] lr: 2.0000e-03 eta: 9:10:55 time: 0.6862 data_time: 0.0234 memory: 13723 grad_norm: 4.1968 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7312 loss: 0.7312 2022/08/09 16:13:08 - mmengine - INFO - Epoch(train) [71][420/1879] lr: 2.0000e-03 eta: 9:10:45 time: 0.8051 data_time: 0.2124 memory: 13723 grad_norm: 4.1838 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5922 loss: 0.5922 2022/08/09 16:13:21 - mmengine - INFO - Epoch(train) [71][440/1879] lr: 2.0000e-03 eta: 9:10:33 time: 0.6298 data_time: 0.0218 memory: 13723 grad_norm: 4.3706 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8567 loss: 0.8567 2022/08/09 16:13:37 - mmengine - INFO - Epoch(train) [71][460/1879] lr: 2.0000e-03 eta: 9:10:23 time: 0.7963 data_time: 0.1194 memory: 13723 grad_norm: 4.1770 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5266 loss: 0.5266 2022/08/09 16:13:43 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 16:13:51 - mmengine - INFO - Epoch(train) [71][480/1879] lr: 2.0000e-03 eta: 9:10:12 time: 0.7019 data_time: 0.0184 memory: 13723 grad_norm: 4.3195 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7486 loss: 0.7486 2022/08/09 16:14:05 - mmengine - INFO - Epoch(train) [71][500/1879] lr: 2.0000e-03 eta: 9:10:02 time: 0.6926 data_time: 0.0443 memory: 13723 grad_norm: 4.4460 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6479 loss: 0.6479 2022/08/09 16:14:19 - mmengine - INFO - Epoch(train) [71][520/1879] lr: 2.0000e-03 eta: 9:09:51 time: 0.7231 data_time: 0.1817 memory: 13723 grad_norm: 4.4259 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6129 loss: 0.6129 2022/08/09 16:14:39 - mmengine - INFO - Epoch(train) [71][540/1879] lr: 2.0000e-03 eta: 9:09:42 time: 0.9946 data_time: 0.0229 memory: 13723 grad_norm: 4.2241 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6243 loss: 0.6243 2022/08/09 16:14:52 - mmengine - INFO - Epoch(train) [71][560/1879] lr: 2.0000e-03 eta: 9:09:31 time: 0.6490 data_time: 0.0208 memory: 13723 grad_norm: 4.4322 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6916 loss: 0.6916 2022/08/09 16:15:09 - mmengine - INFO - Epoch(train) [71][580/1879] lr: 2.0000e-03 eta: 9:09:21 time: 0.8193 data_time: 0.1363 memory: 13723 grad_norm: 4.4051 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6527 loss: 0.6527 2022/08/09 16:15:23 - mmengine - INFO - Epoch(train) [71][600/1879] lr: 2.0000e-03 eta: 9:09:10 time: 0.7137 data_time: 0.0467 memory: 13723 grad_norm: 4.2378 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7892 loss: 0.7892 2022/08/09 16:15:40 - mmengine - INFO - Epoch(train) [71][620/1879] lr: 2.0000e-03 eta: 9:09:01 time: 0.8751 data_time: 0.0208 memory: 13723 grad_norm: 4.2695 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6655 loss: 0.6655 2022/08/09 16:15:52 - mmengine - INFO - Epoch(train) [71][640/1879] lr: 2.0000e-03 eta: 9:08:49 time: 0.5677 data_time: 0.0210 memory: 13723 grad_norm: 4.3464 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6050 loss: 0.6050 2022/08/09 16:16:07 - mmengine - INFO - Epoch(train) [71][660/1879] lr: 2.0000e-03 eta: 9:08:38 time: 0.7374 data_time: 0.0219 memory: 13723 grad_norm: 4.2271 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6626 loss: 0.6626 2022/08/09 16:16:19 - mmengine - INFO - Epoch(train) [71][680/1879] lr: 2.0000e-03 eta: 9:08:27 time: 0.6149 data_time: 0.0225 memory: 13723 grad_norm: 4.2002 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7259 loss: 0.7259 2022/08/09 16:16:36 - mmengine - INFO - Epoch(train) [71][700/1879] lr: 2.0000e-03 eta: 9:08:17 time: 0.8297 data_time: 0.0812 memory: 13723 grad_norm: 4.4536 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8486 loss: 0.8486 2022/08/09 16:16:47 - mmengine - INFO - Epoch(train) [71][720/1879] lr: 2.0000e-03 eta: 9:08:05 time: 0.5706 data_time: 0.0214 memory: 13723 grad_norm: 4.2655 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7130 loss: 0.7130 2022/08/09 16:17:01 - mmengine - INFO - Epoch(train) [71][740/1879] lr: 2.0000e-03 eta: 9:07:54 time: 0.7221 data_time: 0.0214 memory: 13723 grad_norm: 4.3379 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8073 loss: 0.8073 2022/08/09 16:17:14 - mmengine - INFO - Epoch(train) [71][760/1879] lr: 2.0000e-03 eta: 9:07:43 time: 0.6449 data_time: 0.0213 memory: 13723 grad_norm: 4.3222 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6648 loss: 0.6648 2022/08/09 16:17:31 - mmengine - INFO - Epoch(train) [71][780/1879] lr: 2.0000e-03 eta: 9:07:33 time: 0.8498 data_time: 0.2858 memory: 13723 grad_norm: 4.4034 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7741 loss: 0.7741 2022/08/09 16:17:46 - mmengine - INFO - Epoch(train) [71][800/1879] lr: 2.0000e-03 eta: 9:07:23 time: 0.7472 data_time: 0.1972 memory: 13723 grad_norm: 4.2364 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7695 loss: 0.7695 2022/08/09 16:18:06 - mmengine - INFO - Epoch(train) [71][820/1879] lr: 2.0000e-03 eta: 9:07:14 time: 0.9641 data_time: 0.4086 memory: 13723 grad_norm: 4.3091 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6130 loss: 0.6130 2022/08/09 16:18:23 - mmengine - INFO - Epoch(train) [71][840/1879] lr: 2.0000e-03 eta: 9:07:04 time: 0.8473 data_time: 0.0170 memory: 13723 grad_norm: 4.3870 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6656 loss: 0.6656 2022/08/09 16:18:36 - mmengine - INFO - Epoch(train) [71][860/1879] lr: 2.0000e-03 eta: 9:06:53 time: 0.6955 data_time: 0.0196 memory: 13723 grad_norm: 4.4013 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7044 loss: 0.7044 2022/08/09 16:18:53 - mmengine - INFO - Epoch(train) [71][880/1879] lr: 2.0000e-03 eta: 9:06:44 time: 0.8248 data_time: 0.0208 memory: 13723 grad_norm: 4.3923 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7831 loss: 0.7831 2022/08/09 16:19:10 - mmengine - INFO - Epoch(train) [71][900/1879] lr: 2.0000e-03 eta: 9:06:34 time: 0.8428 data_time: 0.0169 memory: 13723 grad_norm: 4.1924 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5892 loss: 0.5892 2022/08/09 16:19:25 - mmengine - INFO - Epoch(train) [71][920/1879] lr: 2.0000e-03 eta: 9:06:24 time: 0.7661 data_time: 0.0228 memory: 13723 grad_norm: 4.4565 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7222 loss: 0.7222 2022/08/09 16:19:39 - mmengine - INFO - Epoch(train) [71][940/1879] lr: 2.0000e-03 eta: 9:06:12 time: 0.6799 data_time: 0.1167 memory: 13723 grad_norm: 4.4708 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6879 loss: 0.6879 2022/08/09 16:19:57 - mmengine - INFO - Epoch(train) [71][960/1879] lr: 2.0000e-03 eta: 9:06:03 time: 0.9071 data_time: 0.0169 memory: 13723 grad_norm: 4.5351 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7643 loss: 0.7643 2022/08/09 16:20:10 - mmengine - INFO - Epoch(train) [71][980/1879] lr: 2.0000e-03 eta: 9:05:52 time: 0.6289 data_time: 0.0178 memory: 13723 grad_norm: 4.4132 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8700 loss: 0.8700 2022/08/09 16:20:27 - mmengine - INFO - Epoch(train) [71][1000/1879] lr: 2.0000e-03 eta: 9:05:42 time: 0.8491 data_time: 0.0172 memory: 13723 grad_norm: 4.3315 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6206 loss: 0.6206 2022/08/09 16:20:40 - mmengine - INFO - Epoch(train) [71][1020/1879] lr: 2.0000e-03 eta: 9:05:31 time: 0.6686 data_time: 0.0236 memory: 13723 grad_norm: 4.3378 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8664 loss: 0.8664 2022/08/09 16:20:56 - mmengine - INFO - Epoch(train) [71][1040/1879] lr: 2.0000e-03 eta: 9:05:21 time: 0.7817 data_time: 0.0542 memory: 13723 grad_norm: 4.3066 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7329 loss: 0.7329 2022/08/09 16:21:08 - mmengine - INFO - Epoch(train) [71][1060/1879] lr: 2.0000e-03 eta: 9:05:09 time: 0.6075 data_time: 0.0636 memory: 13723 grad_norm: 4.5181 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7507 loss: 0.7507 2022/08/09 16:21:23 - mmengine - INFO - Epoch(train) [71][1080/1879] lr: 2.0000e-03 eta: 9:04:59 time: 0.7662 data_time: 0.1942 memory: 13723 grad_norm: 4.2687 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7267 loss: 0.7267 2022/08/09 16:21:38 - mmengine - INFO - Epoch(train) [71][1100/1879] lr: 2.0000e-03 eta: 9:04:48 time: 0.7707 data_time: 0.0142 memory: 13723 grad_norm: 4.3335 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7320 loss: 0.7320 2022/08/09 16:21:54 - mmengine - INFO - Epoch(train) [71][1120/1879] lr: 2.0000e-03 eta: 9:04:38 time: 0.7557 data_time: 0.0199 memory: 13723 grad_norm: 4.4834 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7727 loss: 0.7727 2022/08/09 16:22:09 - mmengine - INFO - Epoch(train) [71][1140/1879] lr: 2.0000e-03 eta: 9:04:27 time: 0.7695 data_time: 0.0187 memory: 13723 grad_norm: 4.3485 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6527 loss: 0.6527 2022/08/09 16:22:24 - mmengine - INFO - Epoch(train) [71][1160/1879] lr: 2.0000e-03 eta: 9:04:17 time: 0.7450 data_time: 0.0224 memory: 13723 grad_norm: 4.2812 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8346 loss: 0.8346 2022/08/09 16:22:44 - mmengine - INFO - Epoch(train) [71][1180/1879] lr: 2.0000e-03 eta: 9:04:09 time: 1.0112 data_time: 0.0198 memory: 13723 grad_norm: 4.3963 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7489 loss: 0.7489 2022/08/09 16:22:56 - mmengine - INFO - Epoch(train) [71][1200/1879] lr: 2.0000e-03 eta: 9:03:57 time: 0.5798 data_time: 0.0344 memory: 13723 grad_norm: 4.4642 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7544 loss: 0.7544 2022/08/09 16:23:11 - mmengine - INFO - Epoch(train) [71][1220/1879] lr: 2.0000e-03 eta: 9:03:46 time: 0.7678 data_time: 0.0193 memory: 13723 grad_norm: 4.4102 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6980 loss: 0.6980 2022/08/09 16:23:29 - mmengine - INFO - Epoch(train) [71][1240/1879] lr: 2.0000e-03 eta: 9:03:37 time: 0.8707 data_time: 0.0238 memory: 13723 grad_norm: 4.3250 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6886 loss: 0.6886 2022/08/09 16:23:44 - mmengine - INFO - Epoch(train) [71][1260/1879] lr: 2.0000e-03 eta: 9:03:26 time: 0.7605 data_time: 0.0203 memory: 13723 grad_norm: 4.4109 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7669 loss: 0.7669 2022/08/09 16:23:57 - mmengine - INFO - Epoch(train) [71][1280/1879] lr: 2.0000e-03 eta: 9:03:15 time: 0.6593 data_time: 0.0278 memory: 13723 grad_norm: 4.3843 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6417 loss: 0.6417 2022/08/09 16:24:12 - mmengine - INFO - Epoch(train) [71][1300/1879] lr: 2.0000e-03 eta: 9:03:04 time: 0.7398 data_time: 0.0194 memory: 13723 grad_norm: 4.3379 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6612 loss: 0.6612 2022/08/09 16:24:26 - mmengine - INFO - Epoch(train) [71][1320/1879] lr: 2.0000e-03 eta: 9:02:53 time: 0.6990 data_time: 0.0208 memory: 13723 grad_norm: 4.2527 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5660 loss: 0.5660 2022/08/09 16:24:38 - mmengine - INFO - Epoch(train) [71][1340/1879] lr: 2.0000e-03 eta: 9:02:42 time: 0.5972 data_time: 0.0255 memory: 13723 grad_norm: 4.4356 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9155 loss: 0.9155 2022/08/09 16:24:52 - mmengine - INFO - Epoch(train) [71][1360/1879] lr: 2.0000e-03 eta: 9:02:31 time: 0.7343 data_time: 0.0209 memory: 13723 grad_norm: 4.3767 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7498 loss: 0.7498 2022/08/09 16:25:08 - mmengine - INFO - Epoch(train) [71][1380/1879] lr: 2.0000e-03 eta: 9:02:21 time: 0.7989 data_time: 0.2543 memory: 13723 grad_norm: 4.2324 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7853 loss: 0.7853 2022/08/09 16:25:27 - mmengine - INFO - Epoch(train) [71][1400/1879] lr: 2.0000e-03 eta: 9:02:12 time: 0.9196 data_time: 0.3283 memory: 13723 grad_norm: 4.4576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7050 loss: 0.7050 2022/08/09 16:25:41 - mmengine - INFO - Epoch(train) [71][1420/1879] lr: 2.0000e-03 eta: 9:02:01 time: 0.7179 data_time: 0.1688 memory: 13723 grad_norm: 4.2279 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7056 loss: 0.7056 2022/08/09 16:25:56 - mmengine - INFO - Epoch(train) [71][1440/1879] lr: 2.0000e-03 eta: 9:01:50 time: 0.7375 data_time: 0.1999 memory: 13723 grad_norm: 4.4534 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8404 loss: 0.8404 2022/08/09 16:26:10 - mmengine - INFO - Epoch(train) [71][1460/1879] lr: 2.0000e-03 eta: 9:01:40 time: 0.7177 data_time: 0.1700 memory: 13723 grad_norm: 4.2202 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5778 loss: 0.5778 2022/08/09 16:26:16 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 16:26:22 - mmengine - INFO - Epoch(train) [71][1480/1879] lr: 2.0000e-03 eta: 9:01:28 time: 0.5878 data_time: 0.0390 memory: 13723 grad_norm: 4.3086 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7799 loss: 0.7799 2022/08/09 16:26:36 - mmengine - INFO - Epoch(train) [71][1500/1879] lr: 2.0000e-03 eta: 9:01:17 time: 0.7161 data_time: 0.1729 memory: 13723 grad_norm: 4.2124 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6230 loss: 0.6230 2022/08/09 16:26:50 - mmengine - INFO - Epoch(train) [71][1520/1879] lr: 2.0000e-03 eta: 9:01:06 time: 0.6816 data_time: 0.0212 memory: 13723 grad_norm: 4.3000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8117 loss: 0.8117 2022/08/09 16:27:06 - mmengine - INFO - Epoch(train) [71][1540/1879] lr: 2.0000e-03 eta: 9:00:56 time: 0.8048 data_time: 0.0228 memory: 13723 grad_norm: 4.4210 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7934 loss: 0.7934 2022/08/09 16:27:18 - mmengine - INFO - Epoch(train) [71][1560/1879] lr: 2.0000e-03 eta: 9:00:44 time: 0.5937 data_time: 0.0171 memory: 13723 grad_norm: 4.4588 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8530 loss: 0.8530 2022/08/09 16:27:36 - mmengine - INFO - Epoch(train) [71][1580/1879] lr: 2.0000e-03 eta: 9:00:34 time: 0.8827 data_time: 0.0206 memory: 13723 grad_norm: 4.3769 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6644 loss: 0.6644 2022/08/09 16:27:56 - mmengine - INFO - Epoch(train) [71][1600/1879] lr: 2.0000e-03 eta: 9:00:26 time: 0.9857 data_time: 0.0209 memory: 13723 grad_norm: 4.4060 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7226 loss: 0.7226 2022/08/09 16:28:11 - mmengine - INFO - Epoch(train) [71][1620/1879] lr: 2.0000e-03 eta: 9:00:16 time: 0.7872 data_time: 0.0205 memory: 13723 grad_norm: 4.2210 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7581 loss: 0.7581 2022/08/09 16:28:27 - mmengine - INFO - Epoch(train) [71][1640/1879] lr: 2.0000e-03 eta: 9:00:05 time: 0.7957 data_time: 0.0783 memory: 13723 grad_norm: 4.3252 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8754 loss: 0.8754 2022/08/09 16:28:43 - mmengine - INFO - Epoch(train) [71][1660/1879] lr: 2.0000e-03 eta: 8:59:55 time: 0.7755 data_time: 0.0234 memory: 13723 grad_norm: 4.2414 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7521 loss: 0.7521 2022/08/09 16:28:57 - mmengine - INFO - Epoch(train) [71][1680/1879] lr: 2.0000e-03 eta: 8:59:44 time: 0.6979 data_time: 0.0193 memory: 13723 grad_norm: 4.4475 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7027 loss: 0.7027 2022/08/09 16:29:10 - mmengine - INFO - Epoch(train) [71][1700/1879] lr: 2.0000e-03 eta: 8:59:33 time: 0.6499 data_time: 0.0224 memory: 13723 grad_norm: 4.4010 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7675 loss: 0.7675 2022/08/09 16:29:23 - mmengine - INFO - Epoch(train) [71][1720/1879] lr: 2.0000e-03 eta: 8:59:21 time: 0.6566 data_time: 0.0218 memory: 13723 grad_norm: 4.3861 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7061 loss: 0.7061 2022/08/09 16:29:36 - mmengine - INFO - Epoch(train) [71][1740/1879] lr: 2.0000e-03 eta: 8:59:10 time: 0.6426 data_time: 0.0231 memory: 13723 grad_norm: 4.3676 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7146 loss: 0.7146 2022/08/09 16:29:51 - mmengine - INFO - Epoch(train) [71][1760/1879] lr: 2.0000e-03 eta: 8:59:00 time: 0.7710 data_time: 0.0206 memory: 13723 grad_norm: 4.5307 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7479 loss: 0.7479 2022/08/09 16:30:08 - mmengine - INFO - Epoch(train) [71][1780/1879] lr: 2.0000e-03 eta: 8:58:50 time: 0.8324 data_time: 0.0188 memory: 13723 grad_norm: 4.3864 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8739 loss: 0.8739 2022/08/09 16:30:27 - mmengine - INFO - Epoch(train) [71][1800/1879] lr: 2.0000e-03 eta: 8:58:41 time: 0.9574 data_time: 0.0181 memory: 13723 grad_norm: 4.2906 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7925 loss: 0.7925 2022/08/09 16:30:40 - mmengine - INFO - Epoch(train) [71][1820/1879] lr: 2.0000e-03 eta: 8:58:30 time: 0.6741 data_time: 0.0246 memory: 13723 grad_norm: 4.5205 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7576 loss: 0.7576 2022/08/09 16:30:53 - mmengine - INFO - Epoch(train) [71][1840/1879] lr: 2.0000e-03 eta: 8:58:18 time: 0.6165 data_time: 0.0219 memory: 13723 grad_norm: 4.4522 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6939 loss: 0.6939 2022/08/09 16:31:09 - mmengine - INFO - Epoch(train) [71][1860/1879] lr: 2.0000e-03 eta: 8:58:08 time: 0.8176 data_time: 0.0212 memory: 13723 grad_norm: 4.2101 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8450 loss: 0.8450 2022/08/09 16:31:22 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 16:31:22 - mmengine - INFO - Epoch(train) [71][1879/1879] lr: 2.0000e-03 eta: 8:58:08 time: 0.6922 data_time: 0.0178 memory: 13723 grad_norm: 4.4587 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7067 loss: 0.7067 2022/08/09 16:31:35 - mmengine - INFO - Epoch(val) [71][20/155] eta: 0:01:24 time: 0.6243 data_time: 0.4855 memory: 1829 2022/08/09 16:31:47 - mmengine - INFO - Epoch(val) [71][40/155] eta: 0:01:09 time: 0.6006 data_time: 0.4632 memory: 1829 2022/08/09 16:32:01 - mmengine - INFO - Epoch(val) [71][60/155] eta: 0:01:04 time: 0.6767 data_time: 0.5413 memory: 1829 2022/08/09 16:32:16 - mmengine - INFO - Epoch(val) [71][80/155] eta: 0:00:57 time: 0.7653 data_time: 0.6278 memory: 1829 2022/08/09 16:32:24 - mmengine - INFO - Epoch(val) [71][100/155] eta: 0:00:22 time: 0.4097 data_time: 0.2726 memory: 1829 2022/08/09 16:32:41 - mmengine - INFO - Epoch(val) [71][120/155] eta: 0:00:29 time: 0.8478 data_time: 0.7113 memory: 1829 2022/08/09 16:32:50 - mmengine - INFO - Epoch(val) [71][140/155] eta: 0:00:06 time: 0.4372 data_time: 0.2985 memory: 1829 2022/08/09 16:33:03 - mmengine - INFO - Epoch(val) [71][155/155] acc/top1: 0.7123 acc/top5: 0.8965 acc/mean1: 0.7122 2022/08/09 16:33:22 - mmengine - INFO - Epoch(train) [72][20/1879] lr: 2.0000e-03 eta: 8:57:43 time: 0.9315 data_time: 0.1931 memory: 13723 grad_norm: 4.3871 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7344 loss: 0.7344 2022/08/09 16:33:35 - mmengine - INFO - Epoch(train) [72][40/1879] lr: 2.0000e-03 eta: 8:57:32 time: 0.6532 data_time: 0.0239 memory: 13723 grad_norm: 4.1581 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7654 loss: 0.7654 2022/08/09 16:33:50 - mmengine - INFO - Epoch(train) [72][60/1879] lr: 2.0000e-03 eta: 8:57:21 time: 0.7485 data_time: 0.0215 memory: 13723 grad_norm: 4.4806 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7599 loss: 0.7599 2022/08/09 16:34:02 - mmengine - INFO - Epoch(train) [72][80/1879] lr: 2.0000e-03 eta: 8:57:09 time: 0.5800 data_time: 0.0236 memory: 13723 grad_norm: 4.2305 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7135 loss: 0.7135 2022/08/09 16:34:15 - mmengine - INFO - Epoch(train) [72][100/1879] lr: 2.0000e-03 eta: 8:56:58 time: 0.6683 data_time: 0.0181 memory: 13723 grad_norm: 4.2647 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6112 loss: 0.6112 2022/08/09 16:34:30 - mmengine - INFO - Epoch(train) [72][120/1879] lr: 2.0000e-03 eta: 8:56:47 time: 0.7029 data_time: 0.0233 memory: 13723 grad_norm: 4.2870 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7467 loss: 0.7467 2022/08/09 16:34:42 - mmengine - INFO - Epoch(train) [72][140/1879] lr: 2.0000e-03 eta: 8:56:35 time: 0.6213 data_time: 0.0194 memory: 13723 grad_norm: 4.3757 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.6977 loss: 0.6977 2022/08/09 16:34:56 - mmengine - INFO - Epoch(train) [72][160/1879] lr: 2.0000e-03 eta: 8:56:25 time: 0.7181 data_time: 0.0206 memory: 13723 grad_norm: 4.3805 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7640 loss: 0.7640 2022/08/09 16:35:13 - mmengine - INFO - Epoch(train) [72][180/1879] lr: 2.0000e-03 eta: 8:56:15 time: 0.8145 data_time: 0.0210 memory: 13723 grad_norm: 4.1916 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7015 loss: 0.7015 2022/08/09 16:35:25 - mmengine - INFO - Epoch(train) [72][200/1879] lr: 2.0000e-03 eta: 8:56:03 time: 0.6382 data_time: 0.0207 memory: 13723 grad_norm: 4.2775 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6705 loss: 0.6705 2022/08/09 16:35:41 - mmengine - INFO - Epoch(train) [72][220/1879] lr: 2.0000e-03 eta: 8:55:53 time: 0.7644 data_time: 0.0230 memory: 13723 grad_norm: 4.3548 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6327 loss: 0.6327 2022/08/09 16:35:54 - mmengine - INFO - Epoch(train) [72][240/1879] lr: 2.0000e-03 eta: 8:55:41 time: 0.6470 data_time: 0.0259 memory: 13723 grad_norm: 4.3810 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7845 loss: 0.7845 2022/08/09 16:36:05 - mmengine - INFO - Epoch(train) [72][260/1879] lr: 2.0000e-03 eta: 8:55:29 time: 0.5770 data_time: 0.0244 memory: 13723 grad_norm: 4.3156 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7390 loss: 0.7390 2022/08/09 16:36:18 - mmengine - INFO - Epoch(train) [72][280/1879] lr: 2.0000e-03 eta: 8:55:18 time: 0.6577 data_time: 0.0207 memory: 13723 grad_norm: 4.2385 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6877 loss: 0.6877 2022/08/09 16:36:32 - mmengine - INFO - Epoch(train) [72][300/1879] lr: 2.0000e-03 eta: 8:55:07 time: 0.6606 data_time: 0.0356 memory: 13723 grad_norm: 4.2886 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8052 loss: 0.8052 2022/08/09 16:36:46 - mmengine - INFO - Epoch(train) [72][320/1879] lr: 2.0000e-03 eta: 8:54:56 time: 0.7239 data_time: 0.0212 memory: 13723 grad_norm: 4.4046 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6797 loss: 0.6797 2022/08/09 16:36:59 - mmengine - INFO - Epoch(train) [72][340/1879] lr: 2.0000e-03 eta: 8:54:44 time: 0.6248 data_time: 0.0235 memory: 13723 grad_norm: 4.4081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7848 loss: 0.7848 2022/08/09 16:37:11 - mmengine - INFO - Epoch(train) [72][360/1879] lr: 2.0000e-03 eta: 8:54:33 time: 0.6103 data_time: 0.0254 memory: 13723 grad_norm: 4.3770 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6430 loss: 0.6430 2022/08/09 16:37:22 - mmengine - INFO - Epoch(train) [72][380/1879] lr: 2.0000e-03 eta: 8:54:21 time: 0.5778 data_time: 0.0218 memory: 13723 grad_norm: 4.3891 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8289 loss: 0.8289 2022/08/09 16:37:36 - mmengine - INFO - Epoch(train) [72][400/1879] lr: 2.0000e-03 eta: 8:54:09 time: 0.6635 data_time: 0.0229 memory: 13723 grad_norm: 4.2487 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8850 loss: 0.8850 2022/08/09 16:37:48 - mmengine - INFO - Epoch(train) [72][420/1879] lr: 2.0000e-03 eta: 8:53:58 time: 0.6332 data_time: 0.0181 memory: 13723 grad_norm: 4.6429 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7373 loss: 0.7373 2022/08/09 16:38:03 - mmengine - INFO - Epoch(train) [72][440/1879] lr: 2.0000e-03 eta: 8:53:47 time: 0.7163 data_time: 0.1610 memory: 13723 grad_norm: 4.3664 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5560 loss: 0.5560 2022/08/09 16:38:14 - mmengine - INFO - Epoch(train) [72][460/1879] lr: 2.0000e-03 eta: 8:53:35 time: 0.5757 data_time: 0.0185 memory: 13723 grad_norm: 4.3295 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7504 loss: 0.7504 2022/08/09 16:38:28 - mmengine - INFO - Epoch(train) [72][480/1879] lr: 2.0000e-03 eta: 8:53:24 time: 0.6700 data_time: 0.1014 memory: 13723 grad_norm: 4.3065 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7017 loss: 0.7017 2022/08/09 16:38:41 - mmengine - INFO - Epoch(train) [72][500/1879] lr: 2.0000e-03 eta: 8:53:13 time: 0.6834 data_time: 0.0201 memory: 13723 grad_norm: 4.2649 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7454 loss: 0.7454 2022/08/09 16:38:55 - mmengine - INFO - Epoch(train) [72][520/1879] lr: 2.0000e-03 eta: 8:53:02 time: 0.6909 data_time: 0.0262 memory: 13723 grad_norm: 4.2868 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7475 loss: 0.7475 2022/08/09 16:39:07 - mmengine - INFO - Epoch(train) [72][540/1879] lr: 2.0000e-03 eta: 8:52:50 time: 0.6075 data_time: 0.0241 memory: 13723 grad_norm: 4.3713 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7827 loss: 0.7827 2022/08/09 16:39:25 - mmengine - INFO - Epoch(train) [72][560/1879] lr: 2.0000e-03 eta: 8:52:40 time: 0.8622 data_time: 0.0283 memory: 13723 grad_norm: 4.4942 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7689 loss: 0.7689 2022/08/09 16:39:40 - mmengine - INFO - Epoch(train) [72][580/1879] lr: 2.0000e-03 eta: 8:52:30 time: 0.7484 data_time: 0.0192 memory: 13723 grad_norm: 4.3053 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6508 loss: 0.6508 2022/08/09 16:39:46 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 16:39:51 - mmengine - INFO - Epoch(train) [72][600/1879] lr: 2.0000e-03 eta: 8:52:18 time: 0.5839 data_time: 0.0261 memory: 13723 grad_norm: 4.4387 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8348 loss: 0.8348 2022/08/09 16:40:03 - mmengine - INFO - Epoch(train) [72][620/1879] lr: 2.0000e-03 eta: 8:52:06 time: 0.5911 data_time: 0.0198 memory: 13723 grad_norm: 4.3693 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8261 loss: 0.8261 2022/08/09 16:40:17 - mmengine - INFO - Epoch(train) [72][640/1879] lr: 2.0000e-03 eta: 8:51:55 time: 0.7033 data_time: 0.0254 memory: 13723 grad_norm: 4.3126 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7307 loss: 0.7307 2022/08/09 16:40:30 - mmengine - INFO - Epoch(train) [72][660/1879] lr: 2.0000e-03 eta: 8:51:43 time: 0.6340 data_time: 0.0206 memory: 13723 grad_norm: 4.2951 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6111 loss: 0.6111 2022/08/09 16:40:43 - mmengine - INFO - Epoch(train) [72][680/1879] lr: 2.0000e-03 eta: 8:51:32 time: 0.6329 data_time: 0.0230 memory: 13723 grad_norm: 4.3901 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7425 loss: 0.7425 2022/08/09 16:40:55 - mmengine - INFO - Epoch(train) [72][700/1879] lr: 2.0000e-03 eta: 8:51:20 time: 0.6032 data_time: 0.0507 memory: 13723 grad_norm: 4.4061 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7045 loss: 0.7045 2022/08/09 16:41:11 - mmengine - INFO - Epoch(train) [72][720/1879] lr: 2.0000e-03 eta: 8:51:10 time: 0.8175 data_time: 0.0164 memory: 13723 grad_norm: 4.3196 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7564 loss: 0.7564 2022/08/09 16:41:23 - mmengine - INFO - Epoch(train) [72][740/1879] lr: 2.0000e-03 eta: 8:50:58 time: 0.6135 data_time: 0.0232 memory: 13723 grad_norm: 4.3329 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6437 loss: 0.6437 2022/08/09 16:41:36 - mmengine - INFO - Epoch(train) [72][760/1879] lr: 2.0000e-03 eta: 8:50:47 time: 0.6441 data_time: 0.0238 memory: 13723 grad_norm: 4.3697 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7861 loss: 0.7861 2022/08/09 16:41:48 - mmengine - INFO - Epoch(train) [72][780/1879] lr: 2.0000e-03 eta: 8:50:35 time: 0.5799 data_time: 0.0216 memory: 13723 grad_norm: 4.2835 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6503 loss: 0.6503 2022/08/09 16:42:02 - mmengine - INFO - Epoch(train) [72][800/1879] lr: 2.0000e-03 eta: 8:50:24 time: 0.7041 data_time: 0.1501 memory: 13723 grad_norm: 4.4506 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8583 loss: 0.8583 2022/08/09 16:42:17 - mmengine - INFO - Epoch(train) [72][820/1879] lr: 2.0000e-03 eta: 8:50:13 time: 0.7492 data_time: 0.1911 memory: 13723 grad_norm: 4.4701 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8753 loss: 0.8753 2022/08/09 16:42:31 - mmengine - INFO - Epoch(train) [72][840/1879] lr: 2.0000e-03 eta: 8:50:02 time: 0.7094 data_time: 0.1570 memory: 13723 grad_norm: 4.3189 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6844 loss: 0.6844 2022/08/09 16:42:43 - mmengine - INFO - Epoch(train) [72][860/1879] lr: 2.0000e-03 eta: 8:49:50 time: 0.5793 data_time: 0.0267 memory: 13723 grad_norm: 4.3630 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5803 loss: 0.5803 2022/08/09 16:42:56 - mmengine - INFO - Epoch(train) [72][880/1879] lr: 2.0000e-03 eta: 8:49:39 time: 0.6527 data_time: 0.1048 memory: 13723 grad_norm: 4.3026 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6960 loss: 0.6960 2022/08/09 16:43:08 - mmengine - INFO - Epoch(train) [72][900/1879] lr: 2.0000e-03 eta: 8:49:28 time: 0.6353 data_time: 0.0202 memory: 13723 grad_norm: 4.3876 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7467 loss: 0.7467 2022/08/09 16:43:22 - mmengine - INFO - Epoch(train) [72][920/1879] lr: 2.0000e-03 eta: 8:49:16 time: 0.6623 data_time: 0.0220 memory: 13723 grad_norm: 4.3906 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8476 loss: 0.8476 2022/08/09 16:43:33 - mmengine - INFO - Epoch(train) [72][940/1879] lr: 2.0000e-03 eta: 8:49:04 time: 0.5726 data_time: 0.0245 memory: 13723 grad_norm: 4.4545 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8062 loss: 0.8062 2022/08/09 16:43:49 - mmengine - INFO - Epoch(train) [72][960/1879] lr: 2.0000e-03 eta: 8:48:54 time: 0.8072 data_time: 0.1172 memory: 13723 grad_norm: 4.3135 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6648 loss: 0.6648 2022/08/09 16:44:03 - mmengine - INFO - Epoch(train) [72][980/1879] lr: 2.0000e-03 eta: 8:48:43 time: 0.6933 data_time: 0.0201 memory: 13723 grad_norm: 4.4807 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8571 loss: 0.8571 2022/08/09 16:44:17 - mmengine - INFO - Epoch(train) [72][1000/1879] lr: 2.0000e-03 eta: 8:48:32 time: 0.6869 data_time: 0.0210 memory: 13723 grad_norm: 4.4062 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6372 loss: 0.6372 2022/08/09 16:44:33 - mmengine - INFO - Epoch(train) [72][1020/1879] lr: 2.0000e-03 eta: 8:48:22 time: 0.8233 data_time: 0.0191 memory: 13723 grad_norm: 4.4925 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7666 loss: 0.7666 2022/08/09 16:44:45 - mmengine - INFO - Epoch(train) [72][1040/1879] lr: 2.0000e-03 eta: 8:48:10 time: 0.5715 data_time: 0.0216 memory: 13723 grad_norm: 4.5459 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7299 loss: 0.7299 2022/08/09 16:45:00 - mmengine - INFO - Epoch(train) [72][1060/1879] lr: 2.0000e-03 eta: 8:47:59 time: 0.7556 data_time: 0.0216 memory: 13723 grad_norm: 4.3840 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7222 loss: 0.7222 2022/08/09 16:45:14 - mmengine - INFO - Epoch(train) [72][1080/1879] lr: 2.0000e-03 eta: 8:47:48 time: 0.7037 data_time: 0.0200 memory: 13723 grad_norm: 4.3112 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6569 loss: 0.6569 2022/08/09 16:45:26 - mmengine - INFO - Epoch(train) [72][1100/1879] lr: 2.0000e-03 eta: 8:47:37 time: 0.6066 data_time: 0.0204 memory: 13723 grad_norm: 4.4760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7553 loss: 0.7553 2022/08/09 16:45:39 - mmengine - INFO - Epoch(train) [72][1120/1879] lr: 2.0000e-03 eta: 8:47:25 time: 0.6293 data_time: 0.0226 memory: 13723 grad_norm: 4.4641 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7615 loss: 0.7615 2022/08/09 16:45:57 - mmengine - INFO - Epoch(train) [72][1140/1879] lr: 2.0000e-03 eta: 8:47:15 time: 0.8804 data_time: 0.0234 memory: 13723 grad_norm: 4.3244 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6769 loss: 0.6769 2022/08/09 16:46:11 - mmengine - INFO - Epoch(train) [72][1160/1879] lr: 2.0000e-03 eta: 8:47:05 time: 0.7454 data_time: 0.0174 memory: 13723 grad_norm: 4.3707 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6282 loss: 0.6282 2022/08/09 16:46:24 - mmengine - INFO - Epoch(train) [72][1180/1879] lr: 2.0000e-03 eta: 8:46:53 time: 0.6336 data_time: 0.0234 memory: 13723 grad_norm: 4.3351 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5289 loss: 0.5289 2022/08/09 16:46:40 - mmengine - INFO - Epoch(train) [72][1200/1879] lr: 2.0000e-03 eta: 8:46:43 time: 0.8077 data_time: 0.0370 memory: 13723 grad_norm: 4.4287 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7661 loss: 0.7661 2022/08/09 16:46:55 - mmengine - INFO - Epoch(train) [72][1220/1879] lr: 2.0000e-03 eta: 8:46:32 time: 0.7479 data_time: 0.1848 memory: 13723 grad_norm: 4.4297 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8328 loss: 0.8328 2022/08/09 16:47:11 - mmengine - INFO - Epoch(train) [72][1240/1879] lr: 2.0000e-03 eta: 8:46:22 time: 0.7884 data_time: 0.2383 memory: 13723 grad_norm: 4.3385 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5681 loss: 0.5681 2022/08/09 16:47:26 - mmengine - INFO - Epoch(train) [72][1260/1879] lr: 2.0000e-03 eta: 8:46:12 time: 0.7630 data_time: 0.0844 memory: 13723 grad_norm: 4.4256 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7111 loss: 0.7111 2022/08/09 16:47:38 - mmengine - INFO - Epoch(train) [72][1280/1879] lr: 2.0000e-03 eta: 8:46:00 time: 0.6029 data_time: 0.0181 memory: 13723 grad_norm: 4.3265 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6798 loss: 0.6798 2022/08/09 16:47:53 - mmengine - INFO - Epoch(train) [72][1300/1879] lr: 2.0000e-03 eta: 8:45:49 time: 0.7131 data_time: 0.0452 memory: 13723 grad_norm: 4.2656 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7529 loss: 0.7529 2022/08/09 16:48:07 - mmengine - INFO - Epoch(train) [72][1320/1879] lr: 2.0000e-03 eta: 8:45:38 time: 0.6971 data_time: 0.0168 memory: 13723 grad_norm: 4.4710 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8300 loss: 0.8300 2022/08/09 16:48:19 - mmengine - INFO - Epoch(train) [72][1340/1879] lr: 2.0000e-03 eta: 8:45:26 time: 0.6229 data_time: 0.0240 memory: 13723 grad_norm: 4.3664 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7883 loss: 0.7883 2022/08/09 16:48:36 - mmengine - INFO - Epoch(train) [72][1360/1879] lr: 2.0000e-03 eta: 8:45:16 time: 0.8497 data_time: 0.0233 memory: 13723 grad_norm: 4.4518 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7124 loss: 0.7124 2022/08/09 16:48:51 - mmengine - INFO - Epoch(train) [72][1380/1879] lr: 2.0000e-03 eta: 8:45:06 time: 0.7242 data_time: 0.0193 memory: 13723 grad_norm: 4.4722 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8853 loss: 0.8853 2022/08/09 16:49:07 - mmengine - INFO - Epoch(train) [72][1400/1879] lr: 2.0000e-03 eta: 8:44:55 time: 0.7992 data_time: 0.0182 memory: 13723 grad_norm: 4.4450 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7576 loss: 0.7576 2022/08/09 16:49:18 - mmengine - INFO - Epoch(train) [72][1420/1879] lr: 2.0000e-03 eta: 8:44:43 time: 0.5702 data_time: 0.0219 memory: 13723 grad_norm: 4.4887 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7531 loss: 0.7531 2022/08/09 16:49:41 - mmengine - INFO - Epoch(train) [72][1440/1879] lr: 2.0000e-03 eta: 8:44:36 time: 1.1345 data_time: 0.0176 memory: 13723 grad_norm: 4.4739 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7459 loss: 0.7459 2022/08/09 16:49:55 - mmengine - INFO - Epoch(train) [72][1460/1879] lr: 2.0000e-03 eta: 8:44:25 time: 0.7223 data_time: 0.0243 memory: 13723 grad_norm: 4.6220 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7680 loss: 0.7680 2022/08/09 16:50:12 - mmengine - INFO - Epoch(train) [72][1480/1879] lr: 2.0000e-03 eta: 8:44:15 time: 0.8330 data_time: 0.0176 memory: 13723 grad_norm: 4.5723 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5941 loss: 0.5941 2022/08/09 16:50:33 - mmengine - INFO - Epoch(train) [72][1500/1879] lr: 2.0000e-03 eta: 8:44:07 time: 1.0595 data_time: 0.1399 memory: 13723 grad_norm: 4.3923 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8480 loss: 0.8480 2022/08/09 16:50:46 - mmengine - INFO - Epoch(train) [72][1520/1879] lr: 2.0000e-03 eta: 8:43:55 time: 0.6416 data_time: 0.0979 memory: 13723 grad_norm: 4.3683 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6757 loss: 0.6757 2022/08/09 16:51:03 - mmengine - INFO - Epoch(train) [72][1540/1879] lr: 2.0000e-03 eta: 8:43:45 time: 0.8373 data_time: 0.0203 memory: 13723 grad_norm: 4.3862 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7401 loss: 0.7401 2022/08/09 16:51:16 - mmengine - INFO - Epoch(train) [72][1560/1879] lr: 2.0000e-03 eta: 8:43:34 time: 0.6859 data_time: 0.1224 memory: 13723 grad_norm: 4.5607 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8122 loss: 0.8122 2022/08/09 16:51:30 - mmengine - INFO - Epoch(train) [72][1580/1879] lr: 2.0000e-03 eta: 8:43:23 time: 0.6716 data_time: 0.1215 memory: 13723 grad_norm: 4.2491 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6189 loss: 0.6189 2022/08/09 16:51:38 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 16:51:45 - mmengine - INFO - Epoch(train) [72][1600/1879] lr: 2.0000e-03 eta: 8:43:12 time: 0.7484 data_time: 0.1979 memory: 13723 grad_norm: 4.4455 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7225 loss: 0.7225 2022/08/09 16:52:00 - mmengine - INFO - Epoch(train) [72][1620/1879] lr: 2.0000e-03 eta: 8:43:01 time: 0.7395 data_time: 0.1973 memory: 13723 grad_norm: 4.3165 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7134 loss: 0.7134 2022/08/09 16:52:13 - mmengine - INFO - Epoch(train) [72][1640/1879] lr: 2.0000e-03 eta: 8:42:50 time: 0.6777 data_time: 0.0195 memory: 13723 grad_norm: 4.3560 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7823 loss: 0.7823 2022/08/09 16:52:31 - mmengine - INFO - Epoch(train) [72][1660/1879] lr: 2.0000e-03 eta: 8:42:41 time: 0.9015 data_time: 0.0273 memory: 13723 grad_norm: 4.4397 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7668 loss: 0.7668 2022/08/09 16:52:43 - mmengine - INFO - Epoch(train) [72][1680/1879] lr: 2.0000e-03 eta: 8:42:29 time: 0.5828 data_time: 0.0148 memory: 13723 grad_norm: 4.3272 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7589 loss: 0.7589 2022/08/09 16:52:58 - mmengine - INFO - Epoch(train) [72][1700/1879] lr: 2.0000e-03 eta: 8:42:18 time: 0.7466 data_time: 0.0832 memory: 13723 grad_norm: 4.4368 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6444 loss: 0.6444 2022/08/09 16:53:10 - mmengine - INFO - Epoch(train) [72][1720/1879] lr: 2.0000e-03 eta: 8:42:06 time: 0.6195 data_time: 0.0183 memory: 13723 grad_norm: 4.4959 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6969 loss: 0.6969 2022/08/09 16:53:24 - mmengine - INFO - Epoch(train) [72][1740/1879] lr: 2.0000e-03 eta: 8:41:55 time: 0.7040 data_time: 0.0740 memory: 13723 grad_norm: 4.4034 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7122 loss: 0.7122 2022/08/09 16:53:42 - mmengine - INFO - Epoch(train) [72][1760/1879] lr: 2.0000e-03 eta: 8:41:46 time: 0.8653 data_time: 0.3125 memory: 13723 grad_norm: 4.3195 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6452 loss: 0.6452 2022/08/09 16:53:55 - mmengine - INFO - Epoch(train) [72][1780/1879] lr: 2.0000e-03 eta: 8:41:34 time: 0.6505 data_time: 0.0917 memory: 13723 grad_norm: 4.2792 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6903 loss: 0.6903 2022/08/09 16:54:10 - mmengine - INFO - Epoch(train) [72][1800/1879] lr: 2.0000e-03 eta: 8:41:24 time: 0.7432 data_time: 0.0411 memory: 13723 grad_norm: 4.3790 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6294 loss: 0.6294 2022/08/09 16:54:23 - mmengine - INFO - Epoch(train) [72][1820/1879] lr: 2.0000e-03 eta: 8:41:12 time: 0.6918 data_time: 0.0196 memory: 13723 grad_norm: 4.5073 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7084 loss: 0.7084 2022/08/09 16:54:39 - mmengine - INFO - Epoch(train) [72][1840/1879] lr: 2.0000e-03 eta: 8:41:02 time: 0.7806 data_time: 0.0195 memory: 13723 grad_norm: 4.3743 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6504 loss: 0.6504 2022/08/09 16:54:56 - mmengine - INFO - Epoch(train) [72][1860/1879] lr: 2.0000e-03 eta: 8:40:52 time: 0.8344 data_time: 0.0177 memory: 13723 grad_norm: 4.4674 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8155 loss: 0.8155 2022/08/09 16:55:16 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 16:55:16 - mmengine - INFO - Epoch(train) [72][1879/1879] lr: 2.0000e-03 eta: 8:40:52 time: 1.0426 data_time: 0.0169 memory: 13723 grad_norm: 4.4202 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8330 loss: 0.8330 2022/08/09 16:55:16 - mmengine - INFO - Saving checkpoint at 72 epochs 2022/08/09 16:55:31 - mmengine - INFO - Epoch(val) [72][20/155] eta: 0:01:30 time: 0.6719 data_time: 0.5334 memory: 1829 2022/08/09 16:55:43 - mmengine - INFO - Epoch(val) [72][40/155] eta: 0:01:08 time: 0.5992 data_time: 0.4623 memory: 1829 2022/08/09 16:55:54 - mmengine - INFO - Epoch(val) [72][60/155] eta: 0:00:49 time: 0.5233 data_time: 0.3876 memory: 1829 2022/08/09 16:56:06 - mmengine - INFO - Epoch(val) [72][80/155] eta: 0:00:46 time: 0.6218 data_time: 0.4827 memory: 1829 2022/08/09 16:56:20 - mmengine - INFO - Epoch(val) [72][100/155] eta: 0:00:36 time: 0.6683 data_time: 0.5299 memory: 1829 2022/08/09 16:56:30 - mmengine - INFO - Epoch(val) [72][120/155] eta: 0:00:18 time: 0.5269 data_time: 0.3920 memory: 1829 2022/08/09 16:56:40 - mmengine - INFO - Epoch(val) [72][140/155] eta: 0:00:07 time: 0.4729 data_time: 0.3381 memory: 1829 2022/08/09 16:57:07 - mmengine - INFO - Epoch(val) [72][155/155] acc/top1: 0.7109 acc/top5: 0.8965 acc/mean1: 0.7108 2022/08/09 16:57:30 - mmengine - INFO - Epoch(train) [73][20/1879] lr: 2.0000e-03 eta: 8:40:28 time: 1.1165 data_time: 0.1843 memory: 13723 grad_norm: 4.2454 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6069 loss: 0.6069 2022/08/09 16:57:43 - mmengine - INFO - Epoch(train) [73][40/1879] lr: 2.0000e-03 eta: 8:40:17 time: 0.6456 data_time: 0.0179 memory: 13723 grad_norm: 4.3633 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7987 loss: 0.7987 2022/08/09 16:57:57 - mmengine - INFO - Epoch(train) [73][60/1879] lr: 2.0000e-03 eta: 8:40:06 time: 0.7418 data_time: 0.0479 memory: 13723 grad_norm: 4.3796 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8457 loss: 0.8457 2022/08/09 16:58:09 - mmengine - INFO - Epoch(train) [73][80/1879] lr: 2.0000e-03 eta: 8:39:54 time: 0.5759 data_time: 0.0216 memory: 13723 grad_norm: 4.2980 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6706 loss: 0.6706 2022/08/09 16:58:29 - mmengine - INFO - Epoch(train) [73][100/1879] lr: 2.0000e-03 eta: 8:39:46 time: 1.0193 data_time: 0.0185 memory: 13723 grad_norm: 4.1870 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7670 loss: 0.7670 2022/08/09 16:58:41 - mmengine - INFO - Epoch(train) [73][120/1879] lr: 2.0000e-03 eta: 8:39:34 time: 0.5734 data_time: 0.0214 memory: 13723 grad_norm: 4.2820 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5947 loss: 0.5947 2022/08/09 16:59:00 - mmengine - INFO - Epoch(train) [73][140/1879] lr: 2.0000e-03 eta: 8:39:24 time: 0.9420 data_time: 0.0845 memory: 13723 grad_norm: 4.3860 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7485 loss: 0.7485 2022/08/09 16:59:13 - mmengine - INFO - Epoch(train) [73][160/1879] lr: 2.0000e-03 eta: 8:39:13 time: 0.6507 data_time: 0.0163 memory: 13723 grad_norm: 4.3582 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8115 loss: 0.8115 2022/08/09 16:59:28 - mmengine - INFO - Epoch(train) [73][180/1879] lr: 2.0000e-03 eta: 8:39:02 time: 0.7507 data_time: 0.0229 memory: 13723 grad_norm: 4.4012 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.7220 loss: 0.7220 2022/08/09 16:59:42 - mmengine - INFO - Epoch(train) [73][200/1879] lr: 2.0000e-03 eta: 8:38:52 time: 0.7303 data_time: 0.0195 memory: 13723 grad_norm: 4.1645 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5457 loss: 0.5457 2022/08/09 16:59:57 - mmengine - INFO - Epoch(train) [73][220/1879] lr: 2.0000e-03 eta: 8:38:41 time: 0.7320 data_time: 0.0216 memory: 13723 grad_norm: 4.4490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7626 loss: 0.7626 2022/08/09 17:00:13 - mmengine - INFO - Epoch(train) [73][240/1879] lr: 2.0000e-03 eta: 8:38:31 time: 0.8129 data_time: 0.0159 memory: 13723 grad_norm: 4.4973 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7346 loss: 0.7346 2022/08/09 17:00:30 - mmengine - INFO - Epoch(train) [73][260/1879] lr: 2.0000e-03 eta: 8:38:21 time: 0.8502 data_time: 0.0187 memory: 13723 grad_norm: 4.4715 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6437 loss: 0.6437 2022/08/09 17:00:43 - mmengine - INFO - Epoch(train) [73][280/1879] lr: 2.0000e-03 eta: 8:38:09 time: 0.6453 data_time: 0.0315 memory: 13723 grad_norm: 4.2975 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6493 loss: 0.6493 2022/08/09 17:01:02 - mmengine - INFO - Epoch(train) [73][300/1879] lr: 2.0000e-03 eta: 8:38:00 time: 0.9213 data_time: 0.3413 memory: 13723 grad_norm: 4.3961 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6912 loss: 0.6912 2022/08/09 17:01:15 - mmengine - INFO - Epoch(train) [73][320/1879] lr: 2.0000e-03 eta: 8:37:48 time: 0.6560 data_time: 0.0951 memory: 13723 grad_norm: 4.4773 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6103 loss: 0.6103 2022/08/09 17:01:33 - mmengine - INFO - Epoch(train) [73][340/1879] lr: 2.0000e-03 eta: 8:37:39 time: 0.8907 data_time: 0.0168 memory: 13723 grad_norm: 4.1602 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7704 loss: 0.7704 2022/08/09 17:01:49 - mmengine - INFO - Epoch(train) [73][360/1879] lr: 2.0000e-03 eta: 8:37:29 time: 0.8156 data_time: 0.0191 memory: 13723 grad_norm: 4.3514 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7375 loss: 0.7375 2022/08/09 17:02:04 - mmengine - INFO - Epoch(train) [73][380/1879] lr: 2.0000e-03 eta: 8:37:18 time: 0.7346 data_time: 0.0187 memory: 13723 grad_norm: 4.3162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6822 loss: 0.6822 2022/08/09 17:02:17 - mmengine - INFO - Epoch(train) [73][400/1879] lr: 2.0000e-03 eta: 8:37:06 time: 0.6396 data_time: 0.0211 memory: 13723 grad_norm: 4.3107 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7172 loss: 0.7172 2022/08/09 17:02:32 - mmengine - INFO - Epoch(train) [73][420/1879] lr: 2.0000e-03 eta: 8:36:56 time: 0.7864 data_time: 0.0209 memory: 13723 grad_norm: 4.2178 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7178 loss: 0.7178 2022/08/09 17:02:50 - mmengine - INFO - Epoch(train) [73][440/1879] lr: 2.0000e-03 eta: 8:36:46 time: 0.8856 data_time: 0.0181 memory: 13723 grad_norm: 4.4081 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8471 loss: 0.8471 2022/08/09 17:03:03 - mmengine - INFO - Epoch(train) [73][460/1879] lr: 2.0000e-03 eta: 8:36:35 time: 0.6673 data_time: 0.0216 memory: 13723 grad_norm: 4.2736 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7052 loss: 0.7052 2022/08/09 17:03:17 - mmengine - INFO - Epoch(train) [73][480/1879] lr: 2.0000e-03 eta: 8:36:24 time: 0.6698 data_time: 0.0212 memory: 13723 grad_norm: 4.4003 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6717 loss: 0.6717 2022/08/09 17:03:29 - mmengine - INFO - Epoch(train) [73][500/1879] lr: 2.0000e-03 eta: 8:36:12 time: 0.5873 data_time: 0.0214 memory: 13723 grad_norm: 4.5982 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7233 loss: 0.7233 2022/08/09 17:03:43 - mmengine - INFO - Epoch(train) [73][520/1879] lr: 2.0000e-03 eta: 8:36:01 time: 0.7469 data_time: 0.1064 memory: 13723 grad_norm: 4.4425 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7204 loss: 0.7204 2022/08/09 17:03:56 - mmengine - INFO - Epoch(train) [73][540/1879] lr: 2.0000e-03 eta: 8:35:49 time: 0.6064 data_time: 0.0188 memory: 13723 grad_norm: 4.3085 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8210 loss: 0.8210 2022/08/09 17:04:08 - mmengine - INFO - Epoch(train) [73][560/1879] lr: 2.0000e-03 eta: 8:35:37 time: 0.6182 data_time: 0.0616 memory: 13723 grad_norm: 4.4659 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7506 loss: 0.7506 2022/08/09 17:04:26 - mmengine - INFO - Epoch(train) [73][580/1879] lr: 2.0000e-03 eta: 8:35:28 time: 0.8942 data_time: 0.2709 memory: 13723 grad_norm: 4.5036 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8268 loss: 0.8268 2022/08/09 17:04:38 - mmengine - INFO - Epoch(train) [73][600/1879] lr: 2.0000e-03 eta: 8:35:16 time: 0.5943 data_time: 0.0262 memory: 13723 grad_norm: 4.3247 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7784 loss: 0.7784 2022/08/09 17:04:54 - mmengine - INFO - Epoch(train) [73][620/1879] lr: 2.0000e-03 eta: 8:35:06 time: 0.8274 data_time: 0.1397 memory: 13723 grad_norm: 4.4906 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8553 loss: 0.8553 2022/08/09 17:05:11 - mmengine - INFO - Epoch(train) [73][640/1879] lr: 2.0000e-03 eta: 8:34:56 time: 0.8263 data_time: 0.2589 memory: 13723 grad_norm: 4.3635 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7852 loss: 0.7852 2022/08/09 17:05:24 - mmengine - INFO - Epoch(train) [73][660/1879] lr: 2.0000e-03 eta: 8:34:44 time: 0.6314 data_time: 0.0852 memory: 13723 grad_norm: 4.3898 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8166 loss: 0.8166 2022/08/09 17:05:36 - mmengine - INFO - Epoch(train) [73][680/1879] lr: 2.0000e-03 eta: 8:34:32 time: 0.6162 data_time: 0.0679 memory: 13723 grad_norm: 4.3238 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6572 loss: 0.6572 2022/08/09 17:05:49 - mmengine - INFO - Epoch(train) [73][700/1879] lr: 2.0000e-03 eta: 8:34:21 time: 0.6780 data_time: 0.1293 memory: 13723 grad_norm: 4.2273 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6226 loss: 0.6226 2022/08/09 17:06:00 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 17:06:06 - mmengine - INFO - Epoch(train) [73][720/1879] lr: 2.0000e-03 eta: 8:34:11 time: 0.8127 data_time: 0.2741 memory: 13723 grad_norm: 4.4218 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7176 loss: 0.7176 2022/08/09 17:06:17 - mmengine - INFO - Epoch(train) [73][740/1879] lr: 2.0000e-03 eta: 8:33:59 time: 0.5714 data_time: 0.0178 memory: 13723 grad_norm: 4.4201 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6780 loss: 0.6780 2022/08/09 17:06:32 - mmengine - INFO - Epoch(train) [73][760/1879] lr: 2.0000e-03 eta: 8:33:48 time: 0.7344 data_time: 0.0215 memory: 13723 grad_norm: 4.5383 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8065 loss: 0.8065 2022/08/09 17:06:45 - mmengine - INFO - Epoch(train) [73][780/1879] lr: 2.0000e-03 eta: 8:33:37 time: 0.6746 data_time: 0.1207 memory: 13723 grad_norm: 4.3624 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9033 loss: 0.9033 2022/08/09 17:06:59 - mmengine - INFO - Epoch(train) [73][800/1879] lr: 2.0000e-03 eta: 8:33:26 time: 0.7016 data_time: 0.1347 memory: 13723 grad_norm: 4.3784 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7571 loss: 0.7571 2022/08/09 17:07:11 - mmengine - INFO - Epoch(train) [73][820/1879] lr: 2.0000e-03 eta: 8:33:14 time: 0.6007 data_time: 0.0472 memory: 13723 grad_norm: 4.5204 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8812 loss: 0.8812 2022/08/09 17:07:27 - mmengine - INFO - Epoch(train) [73][840/1879] lr: 2.0000e-03 eta: 8:33:03 time: 0.7706 data_time: 0.2223 memory: 13723 grad_norm: 4.4479 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5998 loss: 0.5998 2022/08/09 17:07:41 - mmengine - INFO - Epoch(train) [73][860/1879] lr: 2.0000e-03 eta: 8:32:52 time: 0.6941 data_time: 0.0217 memory: 13723 grad_norm: 4.4172 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6831 loss: 0.6831 2022/08/09 17:07:53 - mmengine - INFO - Epoch(train) [73][880/1879] lr: 2.0000e-03 eta: 8:32:41 time: 0.6258 data_time: 0.0310 memory: 13723 grad_norm: 4.3930 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6454 loss: 0.6454 2022/08/09 17:08:10 - mmengine - INFO - Epoch(train) [73][900/1879] lr: 2.0000e-03 eta: 8:32:30 time: 0.8232 data_time: 0.1828 memory: 13723 grad_norm: 4.5484 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6786 loss: 0.6786 2022/08/09 17:08:21 - mmengine - INFO - Epoch(train) [73][920/1879] lr: 2.0000e-03 eta: 8:32:18 time: 0.5707 data_time: 0.0220 memory: 13723 grad_norm: 4.4936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6615 loss: 0.6615 2022/08/09 17:08:38 - mmengine - INFO - Epoch(train) [73][940/1879] lr: 2.0000e-03 eta: 8:32:08 time: 0.8256 data_time: 0.0234 memory: 13723 grad_norm: 4.5351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6889 loss: 0.6889 2022/08/09 17:08:49 - mmengine - INFO - Epoch(train) [73][960/1879] lr: 2.0000e-03 eta: 8:31:56 time: 0.5673 data_time: 0.0215 memory: 13723 grad_norm: 4.3838 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7446 loss: 0.7446 2022/08/09 17:09:03 - mmengine - INFO - Epoch(train) [73][980/1879] lr: 2.0000e-03 eta: 8:31:45 time: 0.6793 data_time: 0.0230 memory: 13723 grad_norm: 4.3769 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8360 loss: 0.8360 2022/08/09 17:09:15 - mmengine - INFO - Epoch(train) [73][1000/1879] lr: 2.0000e-03 eta: 8:31:33 time: 0.5990 data_time: 0.0459 memory: 13723 grad_norm: 4.5548 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7831 loss: 0.7831 2022/08/09 17:09:27 - mmengine - INFO - Epoch(train) [73][1020/1879] lr: 2.0000e-03 eta: 8:31:21 time: 0.6374 data_time: 0.0209 memory: 13723 grad_norm: 4.6234 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7846 loss: 0.7846 2022/08/09 17:09:39 - mmengine - INFO - Epoch(train) [73][1040/1879] lr: 2.0000e-03 eta: 8:31:09 time: 0.5814 data_time: 0.0227 memory: 13723 grad_norm: 4.2585 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7301 loss: 0.7301 2022/08/09 17:09:53 - mmengine - INFO - Epoch(train) [73][1060/1879] lr: 2.0000e-03 eta: 8:30:58 time: 0.6952 data_time: 0.0191 memory: 13723 grad_norm: 4.6100 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8044 loss: 0.8044 2022/08/09 17:10:05 - mmengine - INFO - Epoch(train) [73][1080/1879] lr: 2.0000e-03 eta: 8:30:46 time: 0.5759 data_time: 0.0223 memory: 13723 grad_norm: 4.1792 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6622 loss: 0.6622 2022/08/09 17:10:25 - mmengine - INFO - Epoch(train) [73][1100/1879] lr: 2.0000e-03 eta: 8:30:37 time: 0.9976 data_time: 0.0669 memory: 13723 grad_norm: 4.2739 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7874 loss: 0.7874 2022/08/09 17:10:37 - mmengine - INFO - Epoch(train) [73][1120/1879] lr: 2.0000e-03 eta: 8:30:25 time: 0.5985 data_time: 0.0206 memory: 13723 grad_norm: 4.4891 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7461 loss: 0.7461 2022/08/09 17:10:50 - mmengine - INFO - Epoch(train) [73][1140/1879] lr: 2.0000e-03 eta: 8:30:14 time: 0.6948 data_time: 0.0207 memory: 13723 grad_norm: 4.4282 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7741 loss: 0.7741 2022/08/09 17:11:03 - mmengine - INFO - Epoch(train) [73][1160/1879] lr: 2.0000e-03 eta: 8:30:02 time: 0.6035 data_time: 0.0213 memory: 13723 grad_norm: 4.3820 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7871 loss: 0.7871 2022/08/09 17:11:15 - mmengine - INFO - Epoch(train) [73][1180/1879] lr: 2.0000e-03 eta: 8:29:51 time: 0.6004 data_time: 0.0275 memory: 13723 grad_norm: 4.5417 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6750 loss: 0.6750 2022/08/09 17:11:28 - mmengine - INFO - Epoch(train) [73][1200/1879] lr: 2.0000e-03 eta: 8:29:39 time: 0.6534 data_time: 0.0224 memory: 13723 grad_norm: 4.4901 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7322 loss: 0.7322 2022/08/09 17:11:41 - mmengine - INFO - Epoch(train) [73][1220/1879] lr: 2.0000e-03 eta: 8:29:28 time: 0.6486 data_time: 0.0414 memory: 13723 grad_norm: 4.5770 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7886 loss: 0.7886 2022/08/09 17:11:55 - mmengine - INFO - Epoch(train) [73][1240/1879] lr: 2.0000e-03 eta: 8:29:17 time: 0.7320 data_time: 0.0187 memory: 13723 grad_norm: 4.5339 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7562 loss: 0.7562 2022/08/09 17:12:07 - mmengine - INFO - Epoch(train) [73][1260/1879] lr: 2.0000e-03 eta: 8:29:05 time: 0.5805 data_time: 0.0270 memory: 13723 grad_norm: 4.3318 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6728 loss: 0.6728 2022/08/09 17:12:19 - mmengine - INFO - Epoch(train) [73][1280/1879] lr: 2.0000e-03 eta: 8:28:53 time: 0.6203 data_time: 0.0198 memory: 13723 grad_norm: 4.2944 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7046 loss: 0.7046 2022/08/09 17:12:32 - mmengine - INFO - Epoch(train) [73][1300/1879] lr: 2.0000e-03 eta: 8:28:41 time: 0.6289 data_time: 0.0235 memory: 13723 grad_norm: 4.5613 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6698 loss: 0.6698 2022/08/09 17:12:45 - mmengine - INFO - Epoch(train) [73][1320/1879] lr: 2.0000e-03 eta: 8:28:30 time: 0.6341 data_time: 0.0195 memory: 13723 grad_norm: 4.5005 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7219 loss: 0.7219 2022/08/09 17:12:57 - mmengine - INFO - Epoch(train) [73][1340/1879] lr: 2.0000e-03 eta: 8:28:18 time: 0.6414 data_time: 0.0230 memory: 13723 grad_norm: 4.4366 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7350 loss: 0.7350 2022/08/09 17:13:13 - mmengine - INFO - Epoch(train) [73][1360/1879] lr: 2.0000e-03 eta: 8:28:08 time: 0.7882 data_time: 0.0197 memory: 13723 grad_norm: 4.3620 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8837 loss: 0.8837 2022/08/09 17:13:26 - mmengine - INFO - Epoch(train) [73][1380/1879] lr: 2.0000e-03 eta: 8:27:56 time: 0.6133 data_time: 0.0233 memory: 13723 grad_norm: 4.4589 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7317 loss: 0.7317 2022/08/09 17:13:38 - mmengine - INFO - Epoch(train) [73][1400/1879] lr: 2.0000e-03 eta: 8:27:44 time: 0.6136 data_time: 0.0234 memory: 13723 grad_norm: 4.5458 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7592 loss: 0.7592 2022/08/09 17:13:53 - mmengine - INFO - Epoch(train) [73][1420/1879] lr: 2.0000e-03 eta: 8:27:34 time: 0.7524 data_time: 0.1445 memory: 13723 grad_norm: 4.2964 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6537 loss: 0.6537 2022/08/09 17:14:06 - mmengine - INFO - Epoch(train) [73][1440/1879] lr: 2.0000e-03 eta: 8:27:22 time: 0.6375 data_time: 0.0197 memory: 13723 grad_norm: 4.5354 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7186 loss: 0.7186 2022/08/09 17:14:19 - mmengine - INFO - Epoch(train) [73][1460/1879] lr: 2.0000e-03 eta: 8:27:11 time: 0.6845 data_time: 0.1391 memory: 13723 grad_norm: 4.3387 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7041 loss: 0.7041 2022/08/09 17:14:33 - mmengine - INFO - Epoch(train) [73][1480/1879] lr: 2.0000e-03 eta: 8:27:00 time: 0.7028 data_time: 0.0331 memory: 13723 grad_norm: 4.2695 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6503 loss: 0.6503 2022/08/09 17:14:46 - mmengine - INFO - Epoch(train) [73][1500/1879] lr: 2.0000e-03 eta: 8:26:48 time: 0.6046 data_time: 0.0211 memory: 13723 grad_norm: 4.6115 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7888 loss: 0.7888 2022/08/09 17:14:59 - mmengine - INFO - Epoch(train) [73][1520/1879] lr: 2.0000e-03 eta: 8:26:37 time: 0.6920 data_time: 0.0186 memory: 13723 grad_norm: 4.5566 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6686 loss: 0.6686 2022/08/09 17:15:17 - mmengine - INFO - Epoch(train) [73][1540/1879] lr: 2.0000e-03 eta: 8:26:27 time: 0.8887 data_time: 0.0535 memory: 13723 grad_norm: 4.4568 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7102 loss: 0.7102 2022/08/09 17:15:35 - mmengine - INFO - Epoch(train) [73][1560/1879] lr: 2.0000e-03 eta: 8:26:17 time: 0.8765 data_time: 0.0161 memory: 13723 grad_norm: 4.4847 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6269 loss: 0.6269 2022/08/09 17:15:48 - mmengine - INFO - Epoch(train) [73][1580/1879] lr: 2.0000e-03 eta: 8:26:06 time: 0.6610 data_time: 0.0257 memory: 13723 grad_norm: 4.3844 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5907 loss: 0.5907 2022/08/09 17:16:01 - mmengine - INFO - Epoch(train) [73][1600/1879] lr: 2.0000e-03 eta: 8:25:54 time: 0.6637 data_time: 0.0202 memory: 13723 grad_norm: 4.4207 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7309 loss: 0.7309 2022/08/09 17:16:13 - mmengine - INFO - Epoch(train) [73][1620/1879] lr: 2.0000e-03 eta: 8:25:42 time: 0.5822 data_time: 0.0229 memory: 13723 grad_norm: 4.4799 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7648 loss: 0.7648 2022/08/09 17:16:27 - mmengine - INFO - Epoch(train) [73][1640/1879] lr: 2.0000e-03 eta: 8:25:31 time: 0.7099 data_time: 0.0419 memory: 13723 grad_norm: 4.3640 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7351 loss: 0.7351 2022/08/09 17:16:39 - mmengine - INFO - Epoch(train) [73][1660/1879] lr: 2.0000e-03 eta: 8:25:19 time: 0.5891 data_time: 0.0209 memory: 13723 grad_norm: 4.3936 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6737 loss: 0.6737 2022/08/09 17:16:56 - mmengine - INFO - Epoch(train) [73][1680/1879] lr: 2.0000e-03 eta: 8:25:10 time: 0.8725 data_time: 0.0476 memory: 13723 grad_norm: 4.4294 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6524 loss: 0.6524 2022/08/09 17:17:09 - mmengine - INFO - Epoch(train) [73][1700/1879] lr: 2.0000e-03 eta: 8:24:58 time: 0.6552 data_time: 0.0253 memory: 13723 grad_norm: 4.4117 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7047 loss: 0.7047 2022/08/09 17:17:19 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 17:17:26 - mmengine - INFO - Epoch(train) [73][1720/1879] lr: 2.0000e-03 eta: 8:24:48 time: 0.8053 data_time: 0.0202 memory: 13723 grad_norm: 4.3696 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7039 loss: 0.7039 2022/08/09 17:17:37 - mmengine - INFO - Epoch(train) [73][1740/1879] lr: 2.0000e-03 eta: 8:24:36 time: 0.5670 data_time: 0.0216 memory: 13723 grad_norm: 4.5538 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7463 loss: 0.7463 2022/08/09 17:17:51 - mmengine - INFO - Epoch(train) [73][1760/1879] lr: 2.0000e-03 eta: 8:24:25 time: 0.6989 data_time: 0.0205 memory: 13723 grad_norm: 4.4513 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7322 loss: 0.7322 2022/08/09 17:18:04 - mmengine - INFO - Epoch(train) [73][1780/1879] lr: 2.0000e-03 eta: 8:24:13 time: 0.6267 data_time: 0.0502 memory: 13723 grad_norm: 4.5365 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7275 loss: 0.7275 2022/08/09 17:18:16 - mmengine - INFO - Epoch(train) [73][1800/1879] lr: 2.0000e-03 eta: 8:24:01 time: 0.6321 data_time: 0.0214 memory: 13723 grad_norm: 4.4296 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6399 loss: 0.6399 2022/08/09 17:18:30 - mmengine - INFO - Epoch(train) [73][1820/1879] lr: 2.0000e-03 eta: 8:23:50 time: 0.6829 data_time: 0.0237 memory: 13723 grad_norm: 4.5323 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7518 loss: 0.7518 2022/08/09 17:18:41 - mmengine - INFO - Epoch(train) [73][1840/1879] lr: 2.0000e-03 eta: 8:23:38 time: 0.5820 data_time: 0.0258 memory: 13723 grad_norm: 4.3575 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6703 loss: 0.6703 2022/08/09 17:18:55 - mmengine - INFO - Epoch(train) [73][1860/1879] lr: 2.0000e-03 eta: 8:23:27 time: 0.6661 data_time: 0.0256 memory: 13723 grad_norm: 4.4324 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5874 loss: 0.5874 2022/08/09 17:19:05 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 17:19:05 - mmengine - INFO - Epoch(train) [73][1879/1879] lr: 2.0000e-03 eta: 8:23:27 time: 0.6124 data_time: 0.0169 memory: 13723 grad_norm: 4.4623 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7573 loss: 0.7573 2022/08/09 17:19:17 - mmengine - INFO - Epoch(val) [73][20/155] eta: 0:01:23 time: 0.6171 data_time: 0.4773 memory: 1829 2022/08/09 17:19:26 - mmengine - INFO - Epoch(val) [73][40/155] eta: 0:00:47 time: 0.4141 data_time: 0.2755 memory: 1829 2022/08/09 17:19:36 - mmengine - INFO - Epoch(val) [73][60/155] eta: 0:00:49 time: 0.5260 data_time: 0.3880 memory: 1829 2022/08/09 17:19:44 - mmengine - INFO - Epoch(val) [73][80/155] eta: 0:00:28 time: 0.3801 data_time: 0.2423 memory: 1829 2022/08/09 17:19:54 - mmengine - INFO - Epoch(val) [73][100/155] eta: 0:00:26 time: 0.4869 data_time: 0.3461 memory: 1829 2022/08/09 17:20:03 - mmengine - INFO - Epoch(val) [73][120/155] eta: 0:00:15 time: 0.4441 data_time: 0.3061 memory: 1829 2022/08/09 17:20:23 - mmengine - INFO - Epoch(val) [73][140/155] eta: 0:00:15 time: 1.0130 data_time: 0.8745 memory: 1829 2022/08/09 17:20:59 - mmengine - INFO - Epoch(val) [73][155/155] acc/top1: 0.7105 acc/top5: 0.8961 acc/mean1: 0.7104 2022/08/09 17:21:20 - mmengine - INFO - Epoch(train) [74][20/1879] lr: 2.0000e-03 eta: 8:23:03 time: 1.0438 data_time: 0.1778 memory: 13723 grad_norm: 4.3059 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6061 loss: 0.6061 2022/08/09 17:21:36 - mmengine - INFO - Epoch(train) [74][40/1879] lr: 2.0000e-03 eta: 8:22:52 time: 0.7970 data_time: 0.0204 memory: 13723 grad_norm: 4.2921 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8847 loss: 0.8847 2022/08/09 17:21:50 - mmengine - INFO - Epoch(train) [74][60/1879] lr: 2.0000e-03 eta: 8:22:41 time: 0.7033 data_time: 0.0261 memory: 13723 grad_norm: 4.3325 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6290 loss: 0.6290 2022/08/09 17:22:04 - mmengine - INFO - Epoch(train) [74][80/1879] lr: 2.0000e-03 eta: 8:22:30 time: 0.7058 data_time: 0.0207 memory: 13723 grad_norm: 4.3552 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6476 loss: 0.6476 2022/08/09 17:22:17 - mmengine - INFO - Epoch(train) [74][100/1879] lr: 2.0000e-03 eta: 8:22:18 time: 0.6363 data_time: 0.0243 memory: 13723 grad_norm: 4.5035 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6655 loss: 0.6655 2022/08/09 17:22:32 - mmengine - INFO - Epoch(train) [74][120/1879] lr: 2.0000e-03 eta: 8:22:08 time: 0.7602 data_time: 0.0181 memory: 13723 grad_norm: 4.2935 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7453 loss: 0.7453 2022/08/09 17:22:48 - mmengine - INFO - Epoch(train) [74][140/1879] lr: 2.0000e-03 eta: 8:21:57 time: 0.7958 data_time: 0.0220 memory: 13723 grad_norm: 4.3837 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7229 loss: 0.7229 2022/08/09 17:22:59 - mmengine - INFO - Epoch(train) [74][160/1879] lr: 2.0000e-03 eta: 8:21:45 time: 0.5810 data_time: 0.0230 memory: 13723 grad_norm: 4.6803 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7770 loss: 0.7770 2022/08/09 17:23:19 - mmengine - INFO - Epoch(train) [74][180/1879] lr: 2.0000e-03 eta: 8:21:36 time: 0.9965 data_time: 0.0193 memory: 13723 grad_norm: 4.3648 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6598 loss: 0.6598 2022/08/09 17:23:34 - mmengine - INFO - Epoch(train) [74][200/1879] lr: 2.0000e-03 eta: 8:21:25 time: 0.7464 data_time: 0.0234 memory: 13723 grad_norm: 4.3370 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5800 loss: 0.5800 2022/08/09 17:23:47 - mmengine - INFO - Epoch(train) [74][220/1879] lr: 2.0000e-03 eta: 8:21:14 time: 0.6480 data_time: 0.0227 memory: 13723 grad_norm: 4.4082 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7086 loss: 0.7086 2022/08/09 17:24:05 - mmengine - INFO - Epoch(train) [74][240/1879] lr: 2.0000e-03 eta: 8:21:04 time: 0.8615 data_time: 0.0263 memory: 13723 grad_norm: 4.6056 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6667 loss: 0.6667 2022/08/09 17:24:17 - mmengine - INFO - Epoch(train) [74][260/1879] lr: 2.0000e-03 eta: 8:20:52 time: 0.6317 data_time: 0.0191 memory: 13723 grad_norm: 4.2755 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7812 loss: 0.7812 2022/08/09 17:24:42 - mmengine - INFO - Epoch(train) [74][280/1879] lr: 2.0000e-03 eta: 8:20:45 time: 1.2300 data_time: 0.2553 memory: 13723 grad_norm: 4.3859 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6711 loss: 0.6711 2022/08/09 17:24:54 - mmengine - INFO - Epoch(train) [74][300/1879] lr: 2.0000e-03 eta: 8:20:33 time: 0.6041 data_time: 0.0186 memory: 13723 grad_norm: 4.4630 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8374 loss: 0.8374 2022/08/09 17:25:15 - mmengine - INFO - Epoch(train) [74][320/1879] lr: 2.0000e-03 eta: 8:20:25 time: 1.0379 data_time: 0.0184 memory: 13723 grad_norm: 4.2575 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7088 loss: 0.7088 2022/08/09 17:25:34 - mmengine - INFO - Epoch(train) [74][340/1879] lr: 2.0000e-03 eta: 8:20:15 time: 0.9561 data_time: 0.0186 memory: 13723 grad_norm: 4.3434 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6605 loss: 0.6605 2022/08/09 17:25:45 - mmengine - INFO - Epoch(train) [74][360/1879] lr: 2.0000e-03 eta: 8:20:03 time: 0.5648 data_time: 0.0200 memory: 13723 grad_norm: 4.5423 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7306 loss: 0.7306 2022/08/09 17:26:01 - mmengine - INFO - Epoch(train) [74][380/1879] lr: 2.0000e-03 eta: 8:19:53 time: 0.7984 data_time: 0.0190 memory: 13723 grad_norm: 4.4836 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7920 loss: 0.7920 2022/08/09 17:26:16 - mmengine - INFO - Epoch(train) [74][400/1879] lr: 2.0000e-03 eta: 8:19:42 time: 0.7477 data_time: 0.0228 memory: 13723 grad_norm: 4.4252 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7474 loss: 0.7474 2022/08/09 17:26:32 - mmengine - INFO - Epoch(train) [74][420/1879] lr: 2.0000e-03 eta: 8:19:32 time: 0.8025 data_time: 0.0252 memory: 13723 grad_norm: 4.4777 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6752 loss: 0.6752 2022/08/09 17:26:49 - mmengine - INFO - Epoch(train) [74][440/1879] lr: 2.0000e-03 eta: 8:19:21 time: 0.8468 data_time: 0.0229 memory: 13723 grad_norm: 4.3570 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6637 loss: 0.6637 2022/08/09 17:27:02 - mmengine - INFO - Epoch(train) [74][460/1879] lr: 2.0000e-03 eta: 8:19:10 time: 0.6685 data_time: 0.1009 memory: 13723 grad_norm: 4.3265 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6297 loss: 0.6297 2022/08/09 17:27:18 - mmengine - INFO - Epoch(train) [74][480/1879] lr: 2.0000e-03 eta: 8:18:59 time: 0.7595 data_time: 0.1367 memory: 13723 grad_norm: 4.5252 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6962 loss: 0.6962 2022/08/09 17:27:33 - mmengine - INFO - Epoch(train) [74][500/1879] lr: 2.0000e-03 eta: 8:18:49 time: 0.7891 data_time: 0.2454 memory: 13723 grad_norm: 4.4471 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6950 loss: 0.6950 2022/08/09 17:27:53 - mmengine - INFO - Epoch(train) [74][520/1879] lr: 2.0000e-03 eta: 8:18:40 time: 0.9619 data_time: 0.4269 memory: 13723 grad_norm: 4.5319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6713 loss: 0.6713 2022/08/09 17:28:06 - mmengine - INFO - Epoch(train) [74][540/1879] lr: 2.0000e-03 eta: 8:18:28 time: 0.6372 data_time: 0.0874 memory: 13723 grad_norm: 4.4004 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7131 loss: 0.7131 2022/08/09 17:28:28 - mmengine - INFO - Epoch(train) [74][560/1879] lr: 2.0000e-03 eta: 8:18:20 time: 1.1018 data_time: 0.0292 memory: 13723 grad_norm: 4.3789 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7525 loss: 0.7525 2022/08/09 17:28:40 - mmengine - INFO - Epoch(train) [74][580/1879] lr: 2.0000e-03 eta: 8:18:08 time: 0.6212 data_time: 0.0219 memory: 13723 grad_norm: 4.5773 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8458 loss: 0.8458 2022/08/09 17:28:58 - mmengine - INFO - Epoch(train) [74][600/1879] lr: 2.0000e-03 eta: 8:17:58 time: 0.9108 data_time: 0.0197 memory: 13723 grad_norm: 4.4652 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8064 loss: 0.8064 2022/08/09 17:29:12 - mmengine - INFO - Epoch(train) [74][620/1879] lr: 2.0000e-03 eta: 8:17:47 time: 0.7120 data_time: 0.0331 memory: 13723 grad_norm: 4.5035 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7333 loss: 0.7333 2022/08/09 17:29:29 - mmengine - INFO - Epoch(train) [74][640/1879] lr: 2.0000e-03 eta: 8:17:37 time: 0.8249 data_time: 0.0267 memory: 13723 grad_norm: 4.3547 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6997 loss: 0.6997 2022/08/09 17:29:41 - mmengine - INFO - Epoch(train) [74][660/1879] lr: 2.0000e-03 eta: 8:17:25 time: 0.6007 data_time: 0.0205 memory: 13723 grad_norm: 4.3421 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7370 loss: 0.7370 2022/08/09 17:29:58 - mmengine - INFO - Epoch(train) [74][680/1879] lr: 2.0000e-03 eta: 8:17:15 time: 0.8715 data_time: 0.0803 memory: 13723 grad_norm: 4.4496 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7486 loss: 0.7486 2022/08/09 17:30:27 - mmengine - INFO - Epoch(train) [74][700/1879] lr: 2.0000e-03 eta: 8:17:09 time: 1.4104 data_time: 0.8683 memory: 13723 grad_norm: 4.3444 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6713 loss: 0.6713 2022/08/09 17:30:39 - mmengine - INFO - Epoch(train) [74][720/1879] lr: 2.0000e-03 eta: 8:16:58 time: 0.6337 data_time: 0.0168 memory: 13723 grad_norm: 4.5790 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7324 loss: 0.7324 2022/08/09 17:30:54 - mmengine - INFO - Epoch(train) [74][740/1879] lr: 2.0000e-03 eta: 8:16:47 time: 0.7432 data_time: 0.0881 memory: 13723 grad_norm: 4.5056 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7169 loss: 0.7169 2022/08/09 17:31:10 - mmengine - INFO - Epoch(train) [74][760/1879] lr: 2.0000e-03 eta: 8:16:36 time: 0.7664 data_time: 0.1123 memory: 13723 grad_norm: 4.5065 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6710 loss: 0.6710 2022/08/09 17:31:22 - mmengine - INFO - Epoch(train) [74][780/1879] lr: 2.0000e-03 eta: 8:16:24 time: 0.6439 data_time: 0.0778 memory: 13723 grad_norm: 4.4325 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7669 loss: 0.7669 2022/08/09 17:31:38 - mmengine - INFO - Epoch(train) [74][800/1879] lr: 2.0000e-03 eta: 8:16:14 time: 0.8018 data_time: 0.0930 memory: 13723 grad_norm: 4.4675 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5937 loss: 0.5937 2022/08/09 17:31:56 - mmengine - INFO - Epoch(train) [74][820/1879] lr: 2.0000e-03 eta: 8:16:04 time: 0.8932 data_time: 0.0164 memory: 13723 grad_norm: 4.5232 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7812 loss: 0.7812 2022/08/09 17:32:12 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 17:32:17 - mmengine - INFO - Epoch(train) [74][840/1879] lr: 2.0000e-03 eta: 8:15:56 time: 1.0447 data_time: 0.0202 memory: 13723 grad_norm: 4.3911 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6529 loss: 0.6529 2022/08/09 17:32:32 - mmengine - INFO - Epoch(train) [74][860/1879] lr: 2.0000e-03 eta: 8:15:45 time: 0.7387 data_time: 0.0205 memory: 13723 grad_norm: 4.5402 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6856 loss: 0.6856 2022/08/09 17:32:50 - mmengine - INFO - Epoch(train) [74][880/1879] lr: 2.0000e-03 eta: 8:15:35 time: 0.8915 data_time: 0.0186 memory: 13723 grad_norm: 4.5637 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7588 loss: 0.7588 2022/08/09 17:33:04 - mmengine - INFO - Epoch(train) [74][900/1879] lr: 2.0000e-03 eta: 8:15:24 time: 0.6835 data_time: 0.0210 memory: 13723 grad_norm: 4.5875 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8053 loss: 0.8053 2022/08/09 17:33:19 - mmengine - INFO - Epoch(train) [74][920/1879] lr: 2.0000e-03 eta: 8:15:13 time: 0.7760 data_time: 0.1864 memory: 13723 grad_norm: 4.4993 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6887 loss: 0.6887 2022/08/09 17:33:35 - mmengine - INFO - Epoch(train) [74][940/1879] lr: 2.0000e-03 eta: 8:15:02 time: 0.7835 data_time: 0.0203 memory: 13723 grad_norm: 4.4705 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7208 loss: 0.7208 2022/08/09 17:33:51 - mmengine - INFO - Epoch(train) [74][960/1879] lr: 2.0000e-03 eta: 8:14:52 time: 0.8256 data_time: 0.0503 memory: 13723 grad_norm: 4.3634 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7522 loss: 0.7522 2022/08/09 17:34:06 - mmengine - INFO - Epoch(train) [74][980/1879] lr: 2.0000e-03 eta: 8:14:41 time: 0.7277 data_time: 0.0319 memory: 13723 grad_norm: 4.4107 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5985 loss: 0.5985 2022/08/09 17:34:22 - mmengine - INFO - Epoch(train) [74][1000/1879] lr: 2.0000e-03 eta: 8:14:31 time: 0.8016 data_time: 0.0210 memory: 13723 grad_norm: 4.3866 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6550 loss: 0.6550 2022/08/09 17:34:35 - mmengine - INFO - Epoch(train) [74][1020/1879] lr: 2.0000e-03 eta: 8:14:19 time: 0.6510 data_time: 0.0193 memory: 13723 grad_norm: 4.5605 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7702 loss: 0.7702 2022/08/09 17:34:51 - mmengine - INFO - Epoch(train) [74][1040/1879] lr: 2.0000e-03 eta: 8:14:09 time: 0.7877 data_time: 0.0217 memory: 13723 grad_norm: 4.5276 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7483 loss: 0.7483 2022/08/09 17:35:05 - mmengine - INFO - Epoch(train) [74][1060/1879] lr: 2.0000e-03 eta: 8:13:57 time: 0.7063 data_time: 0.1230 memory: 13723 grad_norm: 4.5642 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7043 loss: 0.7043 2022/08/09 17:35:23 - mmengine - INFO - Epoch(train) [74][1080/1879] lr: 2.0000e-03 eta: 8:13:48 time: 0.9284 data_time: 0.3855 memory: 13723 grad_norm: 4.4646 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7422 loss: 0.7422 2022/08/09 17:35:38 - mmengine - INFO - Epoch(train) [74][1100/1879] lr: 2.0000e-03 eta: 8:13:37 time: 0.7464 data_time: 0.0231 memory: 13723 grad_norm: 4.4136 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6287 loss: 0.6287 2022/08/09 17:35:55 - mmengine - INFO - Epoch(train) [74][1120/1879] lr: 2.0000e-03 eta: 8:13:27 time: 0.8429 data_time: 0.0177 memory: 13723 grad_norm: 4.4612 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6342 loss: 0.6342 2022/08/09 17:36:09 - mmengine - INFO - Epoch(train) [74][1140/1879] lr: 2.0000e-03 eta: 8:13:15 time: 0.6684 data_time: 0.1228 memory: 13723 grad_norm: 4.6084 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5987 loss: 0.5987 2022/08/09 17:36:25 - mmengine - INFO - Epoch(train) [74][1160/1879] lr: 2.0000e-03 eta: 8:13:05 time: 0.8051 data_time: 0.2591 memory: 13723 grad_norm: 4.4309 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7282 loss: 0.7282 2022/08/09 17:36:45 - mmengine - INFO - Epoch(train) [74][1180/1879] lr: 2.0000e-03 eta: 8:12:56 time: 0.9923 data_time: 0.2389 memory: 13723 grad_norm: 4.4691 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5424 loss: 0.5424 2022/08/09 17:37:00 - mmengine - INFO - Epoch(train) [74][1200/1879] lr: 2.0000e-03 eta: 8:12:45 time: 0.7681 data_time: 0.0174 memory: 13723 grad_norm: 4.3714 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5740 loss: 0.5740 2022/08/09 17:37:17 - mmengine - INFO - Epoch(train) [74][1220/1879] lr: 2.0000e-03 eta: 8:12:35 time: 0.8583 data_time: 0.1565 memory: 13723 grad_norm: 4.3165 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7664 loss: 0.7664 2022/08/09 17:37:32 - mmengine - INFO - Epoch(train) [74][1240/1879] lr: 2.0000e-03 eta: 8:12:24 time: 0.7290 data_time: 0.0192 memory: 13723 grad_norm: 4.4251 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8505 loss: 0.8505 2022/08/09 17:37:46 - mmengine - INFO - Epoch(train) [74][1260/1879] lr: 2.0000e-03 eta: 8:12:13 time: 0.7181 data_time: 0.0194 memory: 13723 grad_norm: 4.3539 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8235 loss: 0.8235 2022/08/09 17:38:02 - mmengine - INFO - Epoch(train) [74][1280/1879] lr: 2.0000e-03 eta: 8:12:03 time: 0.8007 data_time: 0.0640 memory: 13723 grad_norm: 4.4699 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7426 loss: 0.7426 2022/08/09 17:38:17 - mmengine - INFO - Epoch(train) [74][1300/1879] lr: 2.0000e-03 eta: 8:11:52 time: 0.7533 data_time: 0.0178 memory: 13723 grad_norm: 4.4354 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7825 loss: 0.7825 2022/08/09 17:38:30 - mmengine - INFO - Epoch(train) [74][1320/1879] lr: 2.0000e-03 eta: 8:11:40 time: 0.6543 data_time: 0.0278 memory: 13723 grad_norm: 4.4198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7917 loss: 0.7917 2022/08/09 17:38:47 - mmengine - INFO - Epoch(train) [74][1340/1879] lr: 2.0000e-03 eta: 8:11:30 time: 0.8172 data_time: 0.0183 memory: 13723 grad_norm: 4.5406 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8175 loss: 0.8175 2022/08/09 17:38:59 - mmengine - INFO - Epoch(train) [74][1360/1879] lr: 2.0000e-03 eta: 8:11:18 time: 0.6003 data_time: 0.0540 memory: 13723 grad_norm: 4.5219 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7261 loss: 0.7261 2022/08/09 17:39:12 - mmengine - INFO - Epoch(train) [74][1380/1879] lr: 2.0000e-03 eta: 8:11:06 time: 0.6706 data_time: 0.0659 memory: 13723 grad_norm: 4.4412 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6216 loss: 0.6216 2022/08/09 17:39:32 - mmengine - INFO - Epoch(train) [74][1400/1879] lr: 2.0000e-03 eta: 8:10:57 time: 0.9868 data_time: 0.0178 memory: 13723 grad_norm: 4.5417 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7481 loss: 0.7481 2022/08/09 17:39:46 - mmengine - INFO - Epoch(train) [74][1420/1879] lr: 2.0000e-03 eta: 8:10:46 time: 0.6858 data_time: 0.0535 memory: 13723 grad_norm: 4.5279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7234 loss: 0.7234 2022/08/09 17:40:01 - mmengine - INFO - Epoch(train) [74][1440/1879] lr: 2.0000e-03 eta: 8:10:35 time: 0.7435 data_time: 0.0193 memory: 13723 grad_norm: 4.3863 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6775 loss: 0.6775 2022/08/09 17:40:21 - mmengine - INFO - Epoch(train) [74][1460/1879] lr: 2.0000e-03 eta: 8:10:26 time: 1.0030 data_time: 0.0253 memory: 13723 grad_norm: 4.6000 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7566 loss: 0.7566 2022/08/09 17:40:40 - mmengine - INFO - Epoch(train) [74][1480/1879] lr: 2.0000e-03 eta: 8:10:17 time: 0.9581 data_time: 0.4184 memory: 13723 grad_norm: 4.5515 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7640 loss: 0.7640 2022/08/09 17:40:54 - mmengine - INFO - Epoch(train) [74][1500/1879] lr: 2.0000e-03 eta: 8:10:06 time: 0.7158 data_time: 0.0186 memory: 13723 grad_norm: 4.4030 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6559 loss: 0.6559 2022/08/09 17:41:08 - mmengine - INFO - Epoch(train) [74][1520/1879] lr: 2.0000e-03 eta: 8:09:54 time: 0.7044 data_time: 0.1240 memory: 13723 grad_norm: 4.4919 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7699 loss: 0.7699 2022/08/09 17:41:25 - mmengine - INFO - Epoch(train) [74][1540/1879] lr: 2.0000e-03 eta: 8:09:44 time: 0.8313 data_time: 0.2760 memory: 13723 grad_norm: 4.4409 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7385 loss: 0.7385 2022/08/09 17:41:38 - mmengine - INFO - Epoch(train) [74][1560/1879] lr: 2.0000e-03 eta: 8:09:33 time: 0.6620 data_time: 0.0330 memory: 13723 grad_norm: 4.4586 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7714 loss: 0.7714 2022/08/09 17:41:55 - mmengine - INFO - Epoch(train) [74][1580/1879] lr: 2.0000e-03 eta: 8:09:22 time: 0.8275 data_time: 0.1601 memory: 13723 grad_norm: 4.6730 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7167 loss: 0.7167 2022/08/09 17:42:09 - mmengine - INFO - Epoch(train) [74][1600/1879] lr: 2.0000e-03 eta: 8:09:11 time: 0.7374 data_time: 0.0778 memory: 13723 grad_norm: 4.4137 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8229 loss: 0.8229 2022/08/09 17:42:24 - mmengine - INFO - Epoch(train) [74][1620/1879] lr: 2.0000e-03 eta: 8:09:00 time: 0.7233 data_time: 0.1349 memory: 13723 grad_norm: 4.3408 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6988 loss: 0.6988 2022/08/09 17:42:42 - mmengine - INFO - Epoch(train) [74][1640/1879] lr: 2.0000e-03 eta: 8:08:51 time: 0.9117 data_time: 0.0187 memory: 13723 grad_norm: 4.4233 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6535 loss: 0.6535 2022/08/09 17:42:57 - mmengine - INFO - Epoch(train) [74][1660/1879] lr: 2.0000e-03 eta: 8:08:40 time: 0.7355 data_time: 0.0687 memory: 13723 grad_norm: 4.4812 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7291 loss: 0.7291 2022/08/09 17:43:17 - mmengine - INFO - Epoch(train) [74][1680/1879] lr: 2.0000e-03 eta: 8:08:30 time: 0.9878 data_time: 0.3975 memory: 13723 grad_norm: 4.4549 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7058 loss: 0.7058 2022/08/09 17:43:30 - mmengine - INFO - Epoch(train) [74][1700/1879] lr: 2.0000e-03 eta: 8:08:19 time: 0.6757 data_time: 0.0191 memory: 13723 grad_norm: 4.3990 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7279 loss: 0.7279 2022/08/09 17:43:44 - mmengine - INFO - Epoch(train) [74][1720/1879] lr: 2.0000e-03 eta: 8:08:08 time: 0.7072 data_time: 0.0191 memory: 13723 grad_norm: 4.4343 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8242 loss: 0.8242 2022/08/09 17:44:00 - mmengine - INFO - Epoch(train) [74][1740/1879] lr: 2.0000e-03 eta: 8:07:57 time: 0.7651 data_time: 0.0234 memory: 13723 grad_norm: 4.4141 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7722 loss: 0.7722 2022/08/09 17:44:15 - mmengine - INFO - Epoch(train) [74][1760/1879] lr: 2.0000e-03 eta: 8:07:46 time: 0.7481 data_time: 0.0167 memory: 13723 grad_norm: 4.5562 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7182 loss: 0.7182 2022/08/09 17:44:28 - mmengine - INFO - Epoch(train) [74][1780/1879] lr: 2.0000e-03 eta: 8:07:35 time: 0.6796 data_time: 0.0242 memory: 13723 grad_norm: 4.4696 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7187 loss: 0.7187 2022/08/09 17:44:43 - mmengine - INFO - Epoch(train) [74][1800/1879] lr: 2.0000e-03 eta: 8:07:24 time: 0.7147 data_time: 0.0184 memory: 13723 grad_norm: 4.4843 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7277 loss: 0.7277 2022/08/09 17:44:57 - mmengine - INFO - Epoch(train) [74][1820/1879] lr: 2.0000e-03 eta: 8:07:13 time: 0.7145 data_time: 0.0217 memory: 13723 grad_norm: 4.5420 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7049 loss: 0.7049 2022/08/09 17:45:05 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 17:45:13 - mmengine - INFO - Epoch(train) [74][1840/1879] lr: 2.0000e-03 eta: 8:07:02 time: 0.8196 data_time: 0.0200 memory: 13723 grad_norm: 4.3721 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6633 loss: 0.6633 2022/08/09 17:45:27 - mmengine - INFO - Epoch(train) [74][1860/1879] lr: 2.0000e-03 eta: 8:06:51 time: 0.7002 data_time: 0.0203 memory: 13723 grad_norm: 4.4070 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7291 loss: 0.7291 2022/08/09 17:45:42 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 17:45:42 - mmengine - INFO - Epoch(train) [74][1879/1879] lr: 2.0000e-03 eta: 8:06:51 time: 0.7546 data_time: 0.0154 memory: 13723 grad_norm: 4.7351 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8046 loss: 0.8046 2022/08/09 17:45:53 - mmengine - INFO - Epoch(val) [74][20/155] eta: 0:01:17 time: 0.5759 data_time: 0.4370 memory: 1829 2022/08/09 17:46:03 - mmengine - INFO - Epoch(val) [74][40/155] eta: 0:00:53 time: 0.4656 data_time: 0.3295 memory: 1829 2022/08/09 17:46:15 - mmengine - INFO - Epoch(val) [74][60/155] eta: 0:00:59 time: 0.6314 data_time: 0.4950 memory: 1829 2022/08/09 17:46:24 - mmengine - INFO - Epoch(val) [74][80/155] eta: 0:00:31 time: 0.4219 data_time: 0.2852 memory: 1829 2022/08/09 17:46:36 - mmengine - INFO - Epoch(val) [74][100/155] eta: 0:00:33 time: 0.6163 data_time: 0.4806 memory: 1829 2022/08/09 17:46:43 - mmengine - INFO - Epoch(val) [74][120/155] eta: 0:00:11 time: 0.3267 data_time: 0.1907 memory: 1829 2022/08/09 17:46:54 - mmengine - INFO - Epoch(val) [74][140/155] eta: 0:00:08 time: 0.5701 data_time: 0.4288 memory: 1829 2022/08/09 17:47:35 - mmengine - INFO - Epoch(val) [74][155/155] acc/top1: 0.7091 acc/top5: 0.8939 acc/mean1: 0.7090 2022/08/09 17:47:57 - mmengine - INFO - Epoch(train) [75][20/1879] lr: 2.0000e-03 eta: 8:06:27 time: 1.0820 data_time: 0.3098 memory: 13723 grad_norm: 4.4035 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8904 loss: 0.8904 2022/08/09 17:48:10 - mmengine - INFO - Epoch(train) [75][40/1879] lr: 2.0000e-03 eta: 8:06:16 time: 0.6654 data_time: 0.0182 memory: 13723 grad_norm: 4.4279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4989 loss: 0.4989 2022/08/09 17:48:23 - mmengine - INFO - Epoch(train) [75][60/1879] lr: 2.0000e-03 eta: 8:06:04 time: 0.6564 data_time: 0.0386 memory: 13723 grad_norm: 4.4197 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8012 loss: 0.8012 2022/08/09 17:48:35 - mmengine - INFO - Epoch(train) [75][80/1879] lr: 2.0000e-03 eta: 8:05:52 time: 0.5813 data_time: 0.0201 memory: 13723 grad_norm: 4.5456 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7155 loss: 0.7155 2022/08/09 17:48:49 - mmengine - INFO - Epoch(train) [75][100/1879] lr: 2.0000e-03 eta: 8:05:41 time: 0.6802 data_time: 0.0465 memory: 13723 grad_norm: 4.3552 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7211 loss: 0.7211 2022/08/09 17:49:05 - mmengine - INFO - Epoch(train) [75][120/1879] lr: 2.0000e-03 eta: 8:05:30 time: 0.8103 data_time: 0.0266 memory: 13723 grad_norm: 4.4067 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7503 loss: 0.7503 2022/08/09 17:49:20 - mmengine - INFO - Epoch(train) [75][140/1879] lr: 2.0000e-03 eta: 8:05:19 time: 0.7647 data_time: 0.0204 memory: 13723 grad_norm: 4.6569 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9057 loss: 0.9057 2022/08/09 17:49:33 - mmengine - INFO - Epoch(train) [75][160/1879] lr: 2.0000e-03 eta: 8:05:08 time: 0.6331 data_time: 0.0225 memory: 13723 grad_norm: 4.5110 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6437 loss: 0.6437 2022/08/09 17:49:46 - mmengine - INFO - Epoch(train) [75][180/1879] lr: 2.0000e-03 eta: 8:04:56 time: 0.6405 data_time: 0.0582 memory: 13723 grad_norm: 4.5372 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7245 loss: 0.7245 2022/08/09 17:49:58 - mmengine - INFO - Epoch(train) [75][200/1879] lr: 2.0000e-03 eta: 8:04:44 time: 0.6007 data_time: 0.0404 memory: 13723 grad_norm: 4.3321 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7357 loss: 0.7357 2022/08/09 17:50:14 - mmengine - INFO - Epoch(train) [75][220/1879] lr: 2.0000e-03 eta: 8:04:34 time: 0.8281 data_time: 0.0185 memory: 13723 grad_norm: 4.4664 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8722 loss: 0.8722 2022/08/09 17:50:29 - mmengine - INFO - Epoch(train) [75][240/1879] lr: 2.0000e-03 eta: 8:04:23 time: 0.7337 data_time: 0.0231 memory: 13723 grad_norm: 4.5650 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7995 loss: 0.7995 2022/08/09 17:50:41 - mmengine - INFO - Epoch(train) [75][260/1879] lr: 2.0000e-03 eta: 8:04:11 time: 0.6273 data_time: 0.0208 memory: 13723 grad_norm: 4.4008 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7166 loss: 0.7166 2022/08/09 17:50:55 - mmengine - INFO - Epoch(train) [75][280/1879] lr: 2.0000e-03 eta: 8:03:59 time: 0.6560 data_time: 0.0992 memory: 13723 grad_norm: 4.3016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7482 loss: 0.7482 2022/08/09 17:51:08 - mmengine - INFO - Epoch(train) [75][300/1879] lr: 2.0000e-03 eta: 8:03:48 time: 0.6587 data_time: 0.0211 memory: 13723 grad_norm: 4.3485 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7168 loss: 0.7168 2022/08/09 17:51:21 - mmengine - INFO - Epoch(train) [75][320/1879] lr: 2.0000e-03 eta: 8:03:36 time: 0.6874 data_time: 0.0233 memory: 13723 grad_norm: 4.3183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7424 loss: 0.7424 2022/08/09 17:51:33 - mmengine - INFO - Epoch(train) [75][340/1879] lr: 2.0000e-03 eta: 8:03:24 time: 0.5836 data_time: 0.0221 memory: 13723 grad_norm: 4.3716 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7332 loss: 0.7332 2022/08/09 17:51:51 - mmengine - INFO - Epoch(train) [75][360/1879] lr: 2.0000e-03 eta: 8:03:14 time: 0.8739 data_time: 0.0197 memory: 13723 grad_norm: 4.4865 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6553 loss: 0.6553 2022/08/09 17:52:03 - mmengine - INFO - Epoch(train) [75][380/1879] lr: 2.0000e-03 eta: 8:03:03 time: 0.6186 data_time: 0.0216 memory: 13723 grad_norm: 4.4212 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6400 loss: 0.6400 2022/08/09 17:52:19 - mmengine - INFO - Epoch(train) [75][400/1879] lr: 2.0000e-03 eta: 8:02:52 time: 0.7894 data_time: 0.0205 memory: 13723 grad_norm: 4.4242 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6466 loss: 0.6466 2022/08/09 17:52:31 - mmengine - INFO - Epoch(train) [75][420/1879] lr: 2.0000e-03 eta: 8:02:40 time: 0.6296 data_time: 0.0526 memory: 13723 grad_norm: 4.5846 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7759 loss: 0.7759 2022/08/09 17:52:46 - mmengine - INFO - Epoch(train) [75][440/1879] lr: 2.0000e-03 eta: 8:02:29 time: 0.7255 data_time: 0.1469 memory: 13723 grad_norm: 4.4209 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8337 loss: 0.8337 2022/08/09 17:53:00 - mmengine - INFO - Epoch(train) [75][460/1879] lr: 2.0000e-03 eta: 8:02:18 time: 0.7114 data_time: 0.0186 memory: 13723 grad_norm: 4.5663 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7176 loss: 0.7176 2022/08/09 17:53:15 - mmengine - INFO - Epoch(train) [75][480/1879] lr: 2.0000e-03 eta: 8:02:07 time: 0.7423 data_time: 0.0272 memory: 13723 grad_norm: 4.3728 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6472 loss: 0.6472 2022/08/09 17:53:31 - mmengine - INFO - Epoch(train) [75][500/1879] lr: 2.0000e-03 eta: 8:01:57 time: 0.8128 data_time: 0.0188 memory: 13723 grad_norm: 4.6434 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7486 loss: 0.7486 2022/08/09 17:53:46 - mmengine - INFO - Epoch(train) [75][520/1879] lr: 2.0000e-03 eta: 8:01:45 time: 0.7268 data_time: 0.0192 memory: 13723 grad_norm: 4.4578 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6669 loss: 0.6669 2022/08/09 17:54:01 - mmengine - INFO - Epoch(train) [75][540/1879] lr: 2.0000e-03 eta: 8:01:34 time: 0.7421 data_time: 0.0367 memory: 13723 grad_norm: 4.3396 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6898 loss: 0.6898 2022/08/09 17:54:17 - mmengine - INFO - Epoch(train) [75][560/1879] lr: 2.0000e-03 eta: 8:01:24 time: 0.8133 data_time: 0.0200 memory: 13723 grad_norm: 4.4363 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7094 loss: 0.7094 2022/08/09 17:54:36 - mmengine - INFO - Epoch(train) [75][580/1879] lr: 2.0000e-03 eta: 8:01:15 time: 0.9672 data_time: 0.0180 memory: 13723 grad_norm: 4.2759 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6096 loss: 0.6096 2022/08/09 17:54:56 - mmengine - INFO - Epoch(train) [75][600/1879] lr: 2.0000e-03 eta: 8:01:05 time: 0.9562 data_time: 0.0181 memory: 13723 grad_norm: 4.3262 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7309 loss: 0.7309 2022/08/09 17:55:15 - mmengine - INFO - Epoch(train) [75][620/1879] lr: 2.0000e-03 eta: 8:00:56 time: 0.9579 data_time: 0.0190 memory: 13723 grad_norm: 4.3964 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.6800 loss: 0.6800 2022/08/09 17:55:33 - mmengine - INFO - Epoch(train) [75][640/1879] lr: 2.0000e-03 eta: 8:00:46 time: 0.8899 data_time: 0.0167 memory: 13723 grad_norm: 4.4769 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7146 loss: 0.7146 2022/08/09 17:55:44 - mmengine - INFO - Epoch(train) [75][660/1879] lr: 2.0000e-03 eta: 8:00:33 time: 0.5632 data_time: 0.0189 memory: 13723 grad_norm: 4.4991 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6359 loss: 0.6359 2022/08/09 17:56:00 - mmengine - INFO - Epoch(train) [75][680/1879] lr: 2.0000e-03 eta: 8:00:23 time: 0.8045 data_time: 0.0214 memory: 13723 grad_norm: 4.5037 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6620 loss: 0.6620 2022/08/09 17:56:14 - mmengine - INFO - Epoch(train) [75][700/1879] lr: 2.0000e-03 eta: 8:00:12 time: 0.7055 data_time: 0.0189 memory: 13723 grad_norm: 4.4483 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7714 loss: 0.7714 2022/08/09 17:56:28 - mmengine - INFO - Epoch(train) [75][720/1879] lr: 2.0000e-03 eta: 8:00:00 time: 0.6790 data_time: 0.0227 memory: 13723 grad_norm: 4.6490 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7884 loss: 0.7884 2022/08/09 17:56:43 - mmengine - INFO - Epoch(train) [75][740/1879] lr: 2.0000e-03 eta: 7:59:49 time: 0.7695 data_time: 0.0372 memory: 13723 grad_norm: 4.6762 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7809 loss: 0.7809 2022/08/09 17:56:59 - mmengine - INFO - Epoch(train) [75][760/1879] lr: 2.0000e-03 eta: 7:59:39 time: 0.7742 data_time: 0.0210 memory: 13723 grad_norm: 4.3728 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6709 loss: 0.6709 2022/08/09 17:57:11 - mmengine - INFO - Epoch(train) [75][780/1879] lr: 2.0000e-03 eta: 7:59:27 time: 0.6118 data_time: 0.0239 memory: 13723 grad_norm: 4.5145 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6631 loss: 0.6631 2022/08/09 17:57:28 - mmengine - INFO - Epoch(train) [75][800/1879] lr: 2.0000e-03 eta: 7:59:17 time: 0.8722 data_time: 0.0194 memory: 13723 grad_norm: 4.4825 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8057 loss: 0.8057 2022/08/09 17:57:45 - mmengine - INFO - Epoch(train) [75][820/1879] lr: 2.0000e-03 eta: 7:59:06 time: 0.8167 data_time: 0.0200 memory: 13723 grad_norm: 4.5330 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8545 loss: 0.8545 2022/08/09 17:57:59 - mmengine - INFO - Epoch(train) [75][840/1879] lr: 2.0000e-03 eta: 7:58:55 time: 0.7386 data_time: 0.0188 memory: 13723 grad_norm: 4.5781 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7475 loss: 0.7475 2022/08/09 17:58:14 - mmengine - INFO - Epoch(train) [75][860/1879] lr: 2.0000e-03 eta: 7:58:44 time: 0.7316 data_time: 0.0501 memory: 13723 grad_norm: 4.4526 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7820 loss: 0.7820 2022/08/09 17:58:28 - mmengine - INFO - Epoch(train) [75][880/1879] lr: 2.0000e-03 eta: 7:58:33 time: 0.7107 data_time: 0.0255 memory: 13723 grad_norm: 4.4413 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7977 loss: 0.7977 2022/08/09 17:58:44 - mmengine - INFO - Epoch(train) [75][900/1879] lr: 2.0000e-03 eta: 7:58:22 time: 0.7827 data_time: 0.0168 memory: 13723 grad_norm: 4.5012 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7025 loss: 0.7025 2022/08/09 17:59:00 - mmengine - INFO - Epoch(train) [75][920/1879] lr: 2.0000e-03 eta: 7:58:12 time: 0.7808 data_time: 0.0202 memory: 13723 grad_norm: 4.6253 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8269 loss: 0.8269 2022/08/09 17:59:14 - mmengine - INFO - Epoch(train) [75][940/1879] lr: 2.0000e-03 eta: 7:58:00 time: 0.7111 data_time: 0.0220 memory: 13723 grad_norm: 4.6320 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6156 loss: 0.6156 2022/08/09 17:59:24 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 17:59:27 - mmengine - INFO - Epoch(train) [75][960/1879] lr: 2.0000e-03 eta: 7:57:49 time: 0.6789 data_time: 0.0209 memory: 13723 grad_norm: 4.4949 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8288 loss: 0.8288 2022/08/09 17:59:41 - mmengine - INFO - Epoch(train) [75][980/1879] lr: 2.0000e-03 eta: 7:57:38 time: 0.6783 data_time: 0.0215 memory: 13723 grad_norm: 4.5651 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6624 loss: 0.6624 2022/08/09 17:59:54 - mmengine - INFO - Epoch(train) [75][1000/1879] lr: 2.0000e-03 eta: 7:57:26 time: 0.6353 data_time: 0.0221 memory: 13723 grad_norm: 4.5097 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8043 loss: 0.8043 2022/08/09 18:00:15 - mmengine - INFO - Epoch(train) [75][1020/1879] lr: 2.0000e-03 eta: 7:57:17 time: 1.0635 data_time: 0.0265 memory: 13723 grad_norm: 4.4696 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6337 loss: 0.6337 2022/08/09 18:00:29 - mmengine - INFO - Epoch(train) [75][1040/1879] lr: 2.0000e-03 eta: 7:57:06 time: 0.6932 data_time: 0.0207 memory: 13723 grad_norm: 4.5790 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7020 loss: 0.7020 2022/08/09 18:00:43 - mmengine - INFO - Epoch(train) [75][1060/1879] lr: 2.0000e-03 eta: 7:56:54 time: 0.6973 data_time: 0.0202 memory: 13723 grad_norm: 4.6398 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7733 loss: 0.7733 2022/08/09 18:00:56 - mmengine - INFO - Epoch(train) [75][1080/1879] lr: 2.0000e-03 eta: 7:56:43 time: 0.6777 data_time: 0.0214 memory: 13723 grad_norm: 4.5329 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7155 loss: 0.7155 2022/08/09 18:01:09 - mmengine - INFO - Epoch(train) [75][1100/1879] lr: 2.0000e-03 eta: 7:56:31 time: 0.6390 data_time: 0.0210 memory: 13723 grad_norm: 4.4689 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7150 loss: 0.7150 2022/08/09 18:01:25 - mmengine - INFO - Epoch(train) [75][1120/1879] lr: 2.0000e-03 eta: 7:56:21 time: 0.7806 data_time: 0.0213 memory: 13723 grad_norm: 4.5105 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6908 loss: 0.6908 2022/08/09 18:01:41 - mmengine - INFO - Epoch(train) [75][1140/1879] lr: 2.0000e-03 eta: 7:56:10 time: 0.8068 data_time: 0.0185 memory: 13723 grad_norm: 4.4878 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5332 loss: 0.5332 2022/08/09 18:01:53 - mmengine - INFO - Epoch(train) [75][1160/1879] lr: 2.0000e-03 eta: 7:55:58 time: 0.6133 data_time: 0.0230 memory: 13723 grad_norm: 4.3527 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6459 loss: 0.6459 2022/08/09 18:02:07 - mmengine - INFO - Epoch(train) [75][1180/1879] lr: 2.0000e-03 eta: 7:55:47 time: 0.6849 data_time: 0.0409 memory: 13723 grad_norm: 4.5089 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8325 loss: 0.8325 2022/08/09 18:02:22 - mmengine - INFO - Epoch(train) [75][1200/1879] lr: 2.0000e-03 eta: 7:55:36 time: 0.7398 data_time: 0.0727 memory: 13723 grad_norm: 4.5702 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6451 loss: 0.6451 2022/08/09 18:02:37 - mmengine - INFO - Epoch(train) [75][1220/1879] lr: 2.0000e-03 eta: 7:55:25 time: 0.7574 data_time: 0.0190 memory: 13723 grad_norm: 4.4632 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5946 loss: 0.5946 2022/08/09 18:02:50 - mmengine - INFO - Epoch(train) [75][1240/1879] lr: 2.0000e-03 eta: 7:55:13 time: 0.6603 data_time: 0.0212 memory: 13723 grad_norm: 4.4642 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6370 loss: 0.6370 2022/08/09 18:03:03 - mmengine - INFO - Epoch(train) [75][1260/1879] lr: 2.0000e-03 eta: 7:55:02 time: 0.6604 data_time: 0.0208 memory: 13723 grad_norm: 4.4934 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7641 loss: 0.7641 2022/08/09 18:03:19 - mmengine - INFO - Epoch(train) [75][1280/1879] lr: 2.0000e-03 eta: 7:54:51 time: 0.7881 data_time: 0.0192 memory: 13723 grad_norm: 4.7417 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6734 loss: 0.6734 2022/08/09 18:03:33 - mmengine - INFO - Epoch(train) [75][1300/1879] lr: 2.0000e-03 eta: 7:54:40 time: 0.6755 data_time: 0.0228 memory: 13723 grad_norm: 4.4989 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8043 loss: 0.8043 2022/08/09 18:03:47 - mmengine - INFO - Epoch(train) [75][1320/1879] lr: 2.0000e-03 eta: 7:54:28 time: 0.7357 data_time: 0.0221 memory: 13723 grad_norm: 4.3995 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.5904 loss: 0.5904 2022/08/09 18:04:00 - mmengine - INFO - Epoch(train) [75][1340/1879] lr: 2.0000e-03 eta: 7:54:17 time: 0.6478 data_time: 0.0190 memory: 13723 grad_norm: 4.5838 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6677 loss: 0.6677 2022/08/09 18:04:15 - mmengine - INFO - Epoch(train) [75][1360/1879] lr: 2.0000e-03 eta: 7:54:06 time: 0.7113 data_time: 0.0220 memory: 13723 grad_norm: 4.4780 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7349 loss: 0.7349 2022/08/09 18:04:26 - mmengine - INFO - Epoch(train) [75][1380/1879] lr: 2.0000e-03 eta: 7:53:53 time: 0.5723 data_time: 0.0215 memory: 13723 grad_norm: 4.4327 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7789 loss: 0.7789 2022/08/09 18:04:39 - mmengine - INFO - Epoch(train) [75][1400/1879] lr: 2.0000e-03 eta: 7:53:42 time: 0.6351 data_time: 0.0219 memory: 13723 grad_norm: 4.3586 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5637 loss: 0.5637 2022/08/09 18:04:51 - mmengine - INFO - Epoch(train) [75][1420/1879] lr: 2.0000e-03 eta: 7:53:30 time: 0.6203 data_time: 0.0227 memory: 13723 grad_norm: 4.4396 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7201 loss: 0.7201 2022/08/09 18:05:03 - mmengine - INFO - Epoch(train) [75][1440/1879] lr: 2.0000e-03 eta: 7:53:18 time: 0.6005 data_time: 0.0226 memory: 13723 grad_norm: 4.6634 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8534 loss: 0.8534 2022/08/09 18:05:25 - mmengine - INFO - Epoch(train) [75][1460/1879] lr: 2.0000e-03 eta: 7:53:09 time: 1.0798 data_time: 0.0170 memory: 13723 grad_norm: 4.6237 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7163 loss: 0.7163 2022/08/09 18:05:38 - mmengine - INFO - Epoch(train) [75][1480/1879] lr: 2.0000e-03 eta: 7:52:57 time: 0.6423 data_time: 0.0223 memory: 13723 grad_norm: 4.5051 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7816 loss: 0.7816 2022/08/09 18:05:51 - mmengine - INFO - Epoch(train) [75][1500/1879] lr: 2.0000e-03 eta: 7:52:46 time: 0.6685 data_time: 0.0540 memory: 13723 grad_norm: 4.5687 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7340 loss: 0.7340 2022/08/09 18:06:05 - mmengine - INFO - Epoch(train) [75][1520/1879] lr: 2.0000e-03 eta: 7:52:35 time: 0.7074 data_time: 0.0208 memory: 13723 grad_norm: 4.5849 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7057 loss: 0.7057 2022/08/09 18:06:21 - mmengine - INFO - Epoch(train) [75][1540/1879] lr: 2.0000e-03 eta: 7:52:24 time: 0.8005 data_time: 0.0197 memory: 13723 grad_norm: 4.5114 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7953 loss: 0.7953 2022/08/09 18:06:36 - mmengine - INFO - Epoch(train) [75][1560/1879] lr: 2.0000e-03 eta: 7:52:13 time: 0.7590 data_time: 0.1519 memory: 13723 grad_norm: 4.6757 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7173 loss: 0.7173 2022/08/09 18:06:57 - mmengine - INFO - Epoch(train) [75][1580/1879] lr: 2.0000e-03 eta: 7:52:04 time: 1.0054 data_time: 0.0169 memory: 13723 grad_norm: 4.5106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7440 loss: 0.7440 2022/08/09 18:07:19 - mmengine - INFO - Epoch(train) [75][1600/1879] lr: 2.0000e-03 eta: 7:51:55 time: 1.0976 data_time: 0.0199 memory: 13723 grad_norm: 4.6465 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7868 loss: 0.7868 2022/08/09 18:07:30 - mmengine - INFO - Epoch(train) [75][1620/1879] lr: 2.0000e-03 eta: 7:51:43 time: 0.5891 data_time: 0.0374 memory: 13723 grad_norm: 4.5202 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7366 loss: 0.7366 2022/08/09 18:07:46 - mmengine - INFO - Epoch(train) [75][1640/1879] lr: 2.0000e-03 eta: 7:51:33 time: 0.7992 data_time: 0.1896 memory: 13723 grad_norm: 4.6545 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6954 loss: 0.6954 2022/08/09 18:08:02 - mmengine - INFO - Epoch(train) [75][1660/1879] lr: 2.0000e-03 eta: 7:51:22 time: 0.8053 data_time: 0.0206 memory: 13723 grad_norm: 4.5672 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8071 loss: 0.8071 2022/08/09 18:08:14 - mmengine - INFO - Epoch(train) [75][1680/1879] lr: 2.0000e-03 eta: 7:51:10 time: 0.5706 data_time: 0.0217 memory: 13723 grad_norm: 4.5223 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6439 loss: 0.6439 2022/08/09 18:08:30 - mmengine - INFO - Epoch(train) [75][1700/1879] lr: 2.0000e-03 eta: 7:50:59 time: 0.8041 data_time: 0.0595 memory: 13723 grad_norm: 4.6314 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6605 loss: 0.6605 2022/08/09 18:08:46 - mmengine - INFO - Epoch(train) [75][1720/1879] lr: 2.0000e-03 eta: 7:50:49 time: 0.8004 data_time: 0.0194 memory: 13723 grad_norm: 4.5046 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7806 loss: 0.7806 2022/08/09 18:09:01 - mmengine - INFO - Epoch(train) [75][1740/1879] lr: 2.0000e-03 eta: 7:50:37 time: 0.7248 data_time: 0.0230 memory: 13723 grad_norm: 4.5179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7878 loss: 0.7878 2022/08/09 18:09:14 - mmengine - INFO - Epoch(train) [75][1760/1879] lr: 2.0000e-03 eta: 7:50:26 time: 0.6847 data_time: 0.0229 memory: 13723 grad_norm: 4.5078 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6812 loss: 0.6812 2022/08/09 18:09:31 - mmengine - INFO - Epoch(train) [75][1780/1879] lr: 2.0000e-03 eta: 7:50:15 time: 0.8129 data_time: 0.0194 memory: 13723 grad_norm: 4.6141 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7684 loss: 0.7684 2022/08/09 18:09:44 - mmengine - INFO - Epoch(train) [75][1800/1879] lr: 2.0000e-03 eta: 7:50:04 time: 0.6914 data_time: 0.0189 memory: 13723 grad_norm: 4.5369 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.6351 loss: 0.6351 2022/08/09 18:10:00 - mmengine - INFO - Epoch(train) [75][1820/1879] lr: 2.0000e-03 eta: 7:49:53 time: 0.7668 data_time: 0.0194 memory: 13723 grad_norm: 4.7038 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8247 loss: 0.8247 2022/08/09 18:10:16 - mmengine - INFO - Epoch(train) [75][1840/1879] lr: 2.0000e-03 eta: 7:49:43 time: 0.8005 data_time: 0.1251 memory: 13723 grad_norm: 4.5693 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6710 loss: 0.6710 2022/08/09 18:10:32 - mmengine - INFO - Epoch(train) [75][1860/1879] lr: 2.0000e-03 eta: 7:49:32 time: 0.8198 data_time: 0.0231 memory: 13723 grad_norm: 4.5493 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6263 loss: 0.6263 2022/08/09 18:10:44 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 18:10:44 - mmengine - INFO - Epoch(train) [75][1879/1879] lr: 2.0000e-03 eta: 7:49:32 time: 0.6382 data_time: 0.0560 memory: 13723 grad_norm: 4.5893 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.6415 loss: 0.6415 2022/08/09 18:10:44 - mmengine - INFO - Saving checkpoint at 75 epochs 2022/08/09 18:10:57 - mmengine - INFO - Epoch(val) [75][20/155] eta: 0:01:17 time: 0.5712 data_time: 0.4310 memory: 1829 2022/08/09 18:11:08 - mmengine - INFO - Epoch(val) [75][40/155] eta: 0:00:58 time: 0.5086 data_time: 0.3728 memory: 1829 2022/08/09 18:11:20 - mmengine - INFO - Epoch(val) [75][60/155] eta: 0:01:01 time: 0.6455 data_time: 0.5096 memory: 1829 2022/08/09 18:11:32 - mmengine - INFO - Epoch(val) [75][80/155] eta: 0:00:42 time: 0.5678 data_time: 0.4320 memory: 1829 2022/08/09 18:11:43 - mmengine - INFO - Epoch(val) [75][100/155] eta: 0:00:31 time: 0.5801 data_time: 0.4376 memory: 1829 2022/08/09 18:11:52 - mmengine - INFO - Epoch(val) [75][120/155] eta: 0:00:14 time: 0.4182 data_time: 0.2826 memory: 1829 2022/08/09 18:12:05 - mmengine - INFO - Epoch(val) [75][140/155] eta: 0:00:09 time: 0.6387 data_time: 0.5024 memory: 1829 2022/08/09 18:12:37 - mmengine - INFO - Epoch(val) [75][155/155] acc/top1: 0.7112 acc/top5: 0.8987 acc/mean1: 0.7111 2022/08/09 18:12:58 - mmengine - INFO - Epoch(train) [76][20/1879] lr: 2.0000e-03 eta: 7:49:08 time: 1.0438 data_time: 0.2056 memory: 13723 grad_norm: 4.3052 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6227 loss: 0.6227 2022/08/09 18:13:14 - mmengine - INFO - Epoch(train) [76][40/1879] lr: 2.0000e-03 eta: 7:48:57 time: 0.7956 data_time: 0.2377 memory: 13723 grad_norm: 4.4154 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7192 loss: 0.7192 2022/08/09 18:13:26 - mmengine - INFO - Epoch(train) [76][60/1879] lr: 2.0000e-03 eta: 7:48:45 time: 0.6243 data_time: 0.0192 memory: 13723 grad_norm: 4.3861 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5707 loss: 0.5707 2022/08/09 18:13:38 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 18:13:41 - mmengine - INFO - Epoch(train) [76][80/1879] lr: 2.0000e-03 eta: 7:48:34 time: 0.7611 data_time: 0.0181 memory: 13723 grad_norm: 4.5458 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7905 loss: 0.7905 2022/08/09 18:13:58 - mmengine - INFO - Epoch(train) [76][100/1879] lr: 2.0000e-03 eta: 7:48:24 time: 0.8265 data_time: 0.0189 memory: 13723 grad_norm: 4.4187 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6940 loss: 0.6940 2022/08/09 18:14:12 - mmengine - INFO - Epoch(train) [76][120/1879] lr: 2.0000e-03 eta: 7:48:12 time: 0.6834 data_time: 0.0229 memory: 13723 grad_norm: 4.5363 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.6246 loss: 0.6246 2022/08/09 18:14:30 - mmengine - INFO - Epoch(train) [76][140/1879] lr: 2.0000e-03 eta: 7:48:03 time: 0.9435 data_time: 0.2602 memory: 13723 grad_norm: 4.3411 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6729 loss: 0.6729 2022/08/09 18:14:46 - mmengine - INFO - Epoch(train) [76][160/1879] lr: 2.0000e-03 eta: 7:47:52 time: 0.7832 data_time: 0.1514 memory: 13723 grad_norm: 4.5414 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6289 loss: 0.6289 2022/08/09 18:15:03 - mmengine - INFO - Epoch(train) [76][180/1879] lr: 2.0000e-03 eta: 7:47:41 time: 0.8172 data_time: 0.0165 memory: 13723 grad_norm: 4.4941 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6621 loss: 0.6621 2022/08/09 18:15:25 - mmengine - INFO - Epoch(train) [76][200/1879] lr: 2.0000e-03 eta: 7:47:33 time: 1.1006 data_time: 0.1750 memory: 13723 grad_norm: 4.5748 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8174 loss: 0.8174 2022/08/09 18:15:37 - mmengine - INFO - Epoch(train) [76][220/1879] lr: 2.0000e-03 eta: 7:47:21 time: 0.6292 data_time: 0.0878 memory: 13723 grad_norm: 4.4344 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6291 loss: 0.6291 2022/08/09 18:15:49 - mmengine - INFO - Epoch(train) [76][240/1879] lr: 2.0000e-03 eta: 7:47:09 time: 0.6037 data_time: 0.0230 memory: 13723 grad_norm: 4.3864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6987 loss: 0.6987 2022/08/09 18:16:05 - mmengine - INFO - Epoch(train) [76][260/1879] lr: 2.0000e-03 eta: 7:46:58 time: 0.7895 data_time: 0.0200 memory: 13723 grad_norm: 4.4079 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6065 loss: 0.6065 2022/08/09 18:16:19 - mmengine - INFO - Epoch(train) [76][280/1879] lr: 2.0000e-03 eta: 7:46:47 time: 0.6952 data_time: 0.0315 memory: 13723 grad_norm: 4.4871 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7564 loss: 0.7564 2022/08/09 18:16:35 - mmengine - INFO - Epoch(train) [76][300/1879] lr: 2.0000e-03 eta: 7:46:36 time: 0.7859 data_time: 0.0180 memory: 13723 grad_norm: 4.3750 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5598 loss: 0.5598 2022/08/09 18:16:47 - mmengine - INFO - Epoch(train) [76][320/1879] lr: 2.0000e-03 eta: 7:46:24 time: 0.6297 data_time: 0.0293 memory: 13723 grad_norm: 4.4668 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6543 loss: 0.6543 2022/08/09 18:17:02 - mmengine - INFO - Epoch(train) [76][340/1879] lr: 2.0000e-03 eta: 7:46:13 time: 0.7189 data_time: 0.0376 memory: 13723 grad_norm: 4.4545 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6931 loss: 0.6931 2022/08/09 18:17:18 - mmengine - INFO - Epoch(train) [76][360/1879] lr: 2.0000e-03 eta: 7:46:02 time: 0.7942 data_time: 0.0223 memory: 13723 grad_norm: 4.3902 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7015 loss: 0.7015 2022/08/09 18:17:35 - mmengine - INFO - Epoch(train) [76][380/1879] lr: 2.0000e-03 eta: 7:45:52 time: 0.8842 data_time: 0.0179 memory: 13723 grad_norm: 4.4024 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7881 loss: 0.7881 2022/08/09 18:17:53 - mmengine - INFO - Epoch(train) [76][400/1879] lr: 2.0000e-03 eta: 7:45:42 time: 0.9091 data_time: 0.2294 memory: 13723 grad_norm: 4.6668 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8228 loss: 0.8228 2022/08/09 18:18:08 - mmengine - INFO - Epoch(train) [76][420/1879] lr: 2.0000e-03 eta: 7:45:31 time: 0.7090 data_time: 0.1148 memory: 13723 grad_norm: 4.4758 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6781 loss: 0.6781 2022/08/09 18:18:26 - mmengine - INFO - Epoch(train) [76][440/1879] lr: 2.0000e-03 eta: 7:45:21 time: 0.8905 data_time: 0.0900 memory: 13723 grad_norm: 4.5744 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7532 loss: 0.7532 2022/08/09 18:18:39 - mmengine - INFO - Epoch(train) [76][460/1879] lr: 2.0000e-03 eta: 7:45:10 time: 0.6937 data_time: 0.0877 memory: 13723 grad_norm: 4.5402 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5496 loss: 0.5496 2022/08/09 18:18:54 - mmengine - INFO - Epoch(train) [76][480/1879] lr: 2.0000e-03 eta: 7:44:59 time: 0.7404 data_time: 0.0238 memory: 13723 grad_norm: 4.5007 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7410 loss: 0.7410 2022/08/09 18:19:07 - mmengine - INFO - Epoch(train) [76][500/1879] lr: 2.0000e-03 eta: 7:44:47 time: 0.6504 data_time: 0.0179 memory: 13723 grad_norm: 4.6060 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6726 loss: 0.6726 2022/08/09 18:19:23 - mmengine - INFO - Epoch(train) [76][520/1879] lr: 2.0000e-03 eta: 7:44:36 time: 0.8050 data_time: 0.0210 memory: 13723 grad_norm: 4.4089 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7062 loss: 0.7062 2022/08/09 18:19:39 - mmengine - INFO - Epoch(train) [76][540/1879] lr: 2.0000e-03 eta: 7:44:25 time: 0.7787 data_time: 0.0213 memory: 13723 grad_norm: 4.6019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8111 loss: 0.8111 2022/08/09 18:19:52 - mmengine - INFO - Epoch(train) [76][560/1879] lr: 2.0000e-03 eta: 7:44:14 time: 0.6501 data_time: 0.0260 memory: 13723 grad_norm: 4.5694 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7324 loss: 0.7324 2022/08/09 18:20:13 - mmengine - INFO - Epoch(train) [76][580/1879] lr: 2.0000e-03 eta: 7:44:05 time: 1.0630 data_time: 0.0174 memory: 13723 grad_norm: 4.5073 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7690 loss: 0.7690 2022/08/09 18:20:27 - mmengine - INFO - Epoch(train) [76][600/1879] lr: 2.0000e-03 eta: 7:43:53 time: 0.6817 data_time: 0.0216 memory: 13723 grad_norm: 4.5052 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6086 loss: 0.6086 2022/08/09 18:20:42 - mmengine - INFO - Epoch(train) [76][620/1879] lr: 2.0000e-03 eta: 7:43:42 time: 0.7666 data_time: 0.1336 memory: 13723 grad_norm: 4.6195 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6380 loss: 0.6380 2022/08/09 18:20:56 - mmengine - INFO - Epoch(train) [76][640/1879] lr: 2.0000e-03 eta: 7:43:31 time: 0.7009 data_time: 0.0200 memory: 13723 grad_norm: 4.6350 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7284 loss: 0.7284 2022/08/09 18:21:16 - mmengine - INFO - Epoch(train) [76][660/1879] lr: 2.0000e-03 eta: 7:43:21 time: 0.9686 data_time: 0.0163 memory: 13723 grad_norm: 4.5180 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7136 loss: 0.7136 2022/08/09 18:21:31 - mmengine - INFO - Epoch(train) [76][680/1879] lr: 2.0000e-03 eta: 7:43:10 time: 0.7467 data_time: 0.1547 memory: 13723 grad_norm: 4.6449 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7620 loss: 0.7620 2022/08/09 18:21:46 - mmengine - INFO - Epoch(train) [76][700/1879] lr: 2.0000e-03 eta: 7:42:59 time: 0.7441 data_time: 0.1774 memory: 13723 grad_norm: 4.7405 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6696 loss: 0.6696 2022/08/09 18:21:58 - mmengine - INFO - Epoch(train) [76][720/1879] lr: 2.0000e-03 eta: 7:42:48 time: 0.6481 data_time: 0.0239 memory: 13723 grad_norm: 4.6629 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7965 loss: 0.7965 2022/08/09 18:22:19 - mmengine - INFO - Epoch(train) [76][740/1879] lr: 2.0000e-03 eta: 7:42:38 time: 1.0071 data_time: 0.0191 memory: 13723 grad_norm: 4.3434 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5969 loss: 0.5969 2022/08/09 18:22:36 - mmengine - INFO - Epoch(train) [76][760/1879] lr: 2.0000e-03 eta: 7:42:28 time: 0.8804 data_time: 0.0245 memory: 13723 grad_norm: 4.4684 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4793 loss: 0.4793 2022/08/09 18:22:50 - mmengine - INFO - Epoch(train) [76][780/1879] lr: 2.0000e-03 eta: 7:42:17 time: 0.6804 data_time: 0.0199 memory: 13723 grad_norm: 4.5161 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7651 loss: 0.7651 2022/08/09 18:23:06 - mmengine - INFO - Epoch(train) [76][800/1879] lr: 2.0000e-03 eta: 7:42:06 time: 0.8207 data_time: 0.0199 memory: 13723 grad_norm: 4.3939 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6778 loss: 0.6778 2022/08/09 18:23:21 - mmengine - INFO - Epoch(train) [76][820/1879] lr: 2.0000e-03 eta: 7:41:55 time: 0.7372 data_time: 0.0214 memory: 13723 grad_norm: 4.5272 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7265 loss: 0.7265 2022/08/09 18:23:36 - mmengine - INFO - Epoch(train) [76][840/1879] lr: 2.0000e-03 eta: 7:41:44 time: 0.7404 data_time: 0.0177 memory: 13723 grad_norm: 4.5987 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 0.7443 loss: 0.7443 2022/08/09 18:23:50 - mmengine - INFO - Epoch(train) [76][860/1879] lr: 2.0000e-03 eta: 7:41:33 time: 0.7156 data_time: 0.0183 memory: 13723 grad_norm: 4.6174 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6880 loss: 0.6880 2022/08/09 18:24:06 - mmengine - INFO - Epoch(train) [76][880/1879] lr: 2.0000e-03 eta: 7:41:22 time: 0.7765 data_time: 0.0467 memory: 13723 grad_norm: 4.4914 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7211 loss: 0.7211 2022/08/09 18:24:25 - mmengine - INFO - Epoch(train) [76][900/1879] lr: 2.0000e-03 eta: 7:41:12 time: 0.9543 data_time: 0.0221 memory: 13723 grad_norm: 4.5700 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7865 loss: 0.7865 2022/08/09 18:24:38 - mmengine - INFO - Epoch(train) [76][920/1879] lr: 2.0000e-03 eta: 7:41:00 time: 0.6620 data_time: 0.0230 memory: 13723 grad_norm: 4.6563 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6888 loss: 0.6888 2022/08/09 18:24:53 - mmengine - INFO - Epoch(train) [76][940/1879] lr: 2.0000e-03 eta: 7:40:49 time: 0.7296 data_time: 0.0180 memory: 13723 grad_norm: 4.5149 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6084 loss: 0.6084 2022/08/09 18:25:07 - mmengine - INFO - Epoch(train) [76][960/1879] lr: 2.0000e-03 eta: 7:40:38 time: 0.7180 data_time: 0.0275 memory: 13723 grad_norm: 4.5240 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7344 loss: 0.7344 2022/08/09 18:25:22 - mmengine - INFO - Epoch(train) [76][980/1879] lr: 2.0000e-03 eta: 7:40:27 time: 0.7193 data_time: 0.0192 memory: 13723 grad_norm: 4.5887 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6839 loss: 0.6839 2022/08/09 18:25:37 - mmengine - INFO - Epoch(train) [76][1000/1879] lr: 2.0000e-03 eta: 7:40:16 time: 0.7545 data_time: 0.1305 memory: 13723 grad_norm: 4.7179 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0001 loss: 1.0001 2022/08/09 18:25:50 - mmengine - INFO - Epoch(train) [76][1020/1879] lr: 2.0000e-03 eta: 7:40:04 time: 0.6614 data_time: 0.0477 memory: 13723 grad_norm: 4.6002 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7846 loss: 0.7846 2022/08/09 18:26:06 - mmengine - INFO - Epoch(train) [76][1040/1879] lr: 2.0000e-03 eta: 7:39:53 time: 0.8143 data_time: 0.2621 memory: 13723 grad_norm: 4.5356 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7456 loss: 0.7456 2022/08/09 18:26:23 - mmengine - INFO - Epoch(train) [76][1060/1879] lr: 2.0000e-03 eta: 7:39:43 time: 0.8210 data_time: 0.0182 memory: 13723 grad_norm: 4.5432 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7529 loss: 0.7529 2022/08/09 18:26:33 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 18:26:36 - mmengine - INFO - Epoch(train) [76][1080/1879] lr: 2.0000e-03 eta: 7:39:31 time: 0.6810 data_time: 0.0212 memory: 13723 grad_norm: 4.5162 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7556 loss: 0.7556 2022/08/09 18:26:51 - mmengine - INFO - Epoch(train) [76][1100/1879] lr: 2.0000e-03 eta: 7:39:20 time: 0.7444 data_time: 0.0205 memory: 13723 grad_norm: 4.4917 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7208 loss: 0.7208 2022/08/09 18:27:06 - mmengine - INFO - Epoch(train) [76][1120/1879] lr: 2.0000e-03 eta: 7:39:09 time: 0.7205 data_time: 0.1122 memory: 13723 grad_norm: 4.4098 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6479 loss: 0.6479 2022/08/09 18:27:19 - mmengine - INFO - Epoch(train) [76][1140/1879] lr: 2.0000e-03 eta: 7:38:58 time: 0.6888 data_time: 0.0164 memory: 13723 grad_norm: 4.4774 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6749 loss: 0.6749 2022/08/09 18:27:33 - mmengine - INFO - Epoch(train) [76][1160/1879] lr: 2.0000e-03 eta: 7:38:46 time: 0.7000 data_time: 0.0814 memory: 13723 grad_norm: 4.6083 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7837 loss: 0.7837 2022/08/09 18:27:50 - mmengine - INFO - Epoch(train) [76][1180/1879] lr: 2.0000e-03 eta: 7:38:36 time: 0.8182 data_time: 0.2388 memory: 13723 grad_norm: 4.4661 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6629 loss: 0.6629 2022/08/09 18:28:06 - mmengine - INFO - Epoch(train) [76][1200/1879] lr: 2.0000e-03 eta: 7:38:25 time: 0.8373 data_time: 0.2880 memory: 13723 grad_norm: 4.5926 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7796 loss: 0.7796 2022/08/09 18:28:29 - mmengine - INFO - Epoch(train) [76][1220/1879] lr: 2.0000e-03 eta: 7:38:16 time: 1.1104 data_time: 0.0173 memory: 13723 grad_norm: 4.3093 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5746 loss: 0.5746 2022/08/09 18:28:43 - mmengine - INFO - Epoch(train) [76][1240/1879] lr: 2.0000e-03 eta: 7:38:05 time: 0.7115 data_time: 0.0237 memory: 13723 grad_norm: 4.5098 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6129 loss: 0.6129 2022/08/09 18:28:56 - mmengine - INFO - Epoch(train) [76][1260/1879] lr: 2.0000e-03 eta: 7:37:53 time: 0.6555 data_time: 0.0268 memory: 13723 grad_norm: 4.4235 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7676 loss: 0.7676 2022/08/09 18:29:09 - mmengine - INFO - Epoch(train) [76][1280/1879] lr: 2.0000e-03 eta: 7:37:42 time: 0.6449 data_time: 0.0793 memory: 13723 grad_norm: 4.4269 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6484 loss: 0.6484 2022/08/09 18:29:21 - mmengine - INFO - Epoch(train) [76][1300/1879] lr: 2.0000e-03 eta: 7:37:29 time: 0.5833 data_time: 0.0205 memory: 13723 grad_norm: 4.6693 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7677 loss: 0.7677 2022/08/09 18:29:35 - mmengine - INFO - Epoch(train) [76][1320/1879] lr: 2.0000e-03 eta: 7:37:18 time: 0.7303 data_time: 0.0219 memory: 13723 grad_norm: 4.6569 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6646 loss: 0.6646 2022/08/09 18:29:49 - mmengine - INFO - Epoch(train) [76][1340/1879] lr: 2.0000e-03 eta: 7:37:07 time: 0.7020 data_time: 0.0198 memory: 13723 grad_norm: 4.6136 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7371 loss: 0.7371 2022/08/09 18:30:04 - mmengine - INFO - Epoch(train) [76][1360/1879] lr: 2.0000e-03 eta: 7:36:56 time: 0.7502 data_time: 0.0235 memory: 13723 grad_norm: 4.7417 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7674 loss: 0.7674 2022/08/09 18:30:24 - mmengine - INFO - Epoch(train) [76][1380/1879] lr: 2.0000e-03 eta: 7:36:46 time: 0.9626 data_time: 0.1033 memory: 13723 grad_norm: 4.6126 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7184 loss: 0.7184 2022/08/09 18:30:39 - mmengine - INFO - Epoch(train) [76][1400/1879] lr: 2.0000e-03 eta: 7:36:35 time: 0.7656 data_time: 0.0252 memory: 13723 grad_norm: 4.4958 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6367 loss: 0.6367 2022/08/09 18:30:50 - mmengine - INFO - Epoch(train) [76][1420/1879] lr: 2.0000e-03 eta: 7:36:23 time: 0.5696 data_time: 0.0203 memory: 13723 grad_norm: 4.6659 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6646 loss: 0.6646 2022/08/09 18:31:03 - mmengine - INFO - Epoch(train) [76][1440/1879] lr: 2.0000e-03 eta: 7:36:11 time: 0.6089 data_time: 0.0255 memory: 13723 grad_norm: 4.5097 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6485 loss: 0.6485 2022/08/09 18:31:18 - mmengine - INFO - Epoch(train) [76][1460/1879] lr: 2.0000e-03 eta: 7:36:00 time: 0.7768 data_time: 0.0192 memory: 13723 grad_norm: 4.6962 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8206 loss: 0.8206 2022/08/09 18:31:31 - mmengine - INFO - Epoch(train) [76][1480/1879] lr: 2.0000e-03 eta: 7:35:48 time: 0.6543 data_time: 0.0206 memory: 13723 grad_norm: 4.6193 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6799 loss: 0.6799 2022/08/09 18:31:46 - mmengine - INFO - Epoch(train) [76][1500/1879] lr: 2.0000e-03 eta: 7:35:37 time: 0.7370 data_time: 0.0203 memory: 13723 grad_norm: 4.6671 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5583 loss: 0.5583 2022/08/09 18:32:02 - mmengine - INFO - Epoch(train) [76][1520/1879] lr: 2.0000e-03 eta: 7:35:26 time: 0.7888 data_time: 0.0177 memory: 13723 grad_norm: 4.7774 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6458 loss: 0.6458 2022/08/09 18:32:19 - mmengine - INFO - Epoch(train) [76][1540/1879] lr: 2.0000e-03 eta: 7:35:16 time: 0.8668 data_time: 0.0207 memory: 13723 grad_norm: 4.5178 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6501 loss: 0.6501 2022/08/09 18:32:33 - mmengine - INFO - Epoch(train) [76][1560/1879] lr: 2.0000e-03 eta: 7:35:05 time: 0.7022 data_time: 0.0216 memory: 13723 grad_norm: 4.4881 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6814 loss: 0.6814 2022/08/09 18:32:45 - mmengine - INFO - Epoch(train) [76][1580/1879] lr: 2.0000e-03 eta: 7:34:53 time: 0.5818 data_time: 0.0217 memory: 13723 grad_norm: 4.6584 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8261 loss: 0.8261 2022/08/09 18:32:59 - mmengine - INFO - Epoch(train) [76][1600/1879] lr: 2.0000e-03 eta: 7:34:41 time: 0.7031 data_time: 0.0190 memory: 13723 grad_norm: 4.4999 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7417 loss: 0.7417 2022/08/09 18:33:12 - mmengine - INFO - Epoch(train) [76][1620/1879] lr: 2.0000e-03 eta: 7:34:29 time: 0.6554 data_time: 0.0208 memory: 13723 grad_norm: 4.6110 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5818 loss: 0.5818 2022/08/09 18:33:24 - mmengine - INFO - Epoch(train) [76][1640/1879] lr: 2.0000e-03 eta: 7:34:18 time: 0.6160 data_time: 0.0236 memory: 13723 grad_norm: 4.4961 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6603 loss: 0.6603 2022/08/09 18:33:39 - mmengine - INFO - Epoch(train) [76][1660/1879] lr: 2.0000e-03 eta: 7:34:06 time: 0.7511 data_time: 0.0201 memory: 13723 grad_norm: 4.6983 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8617 loss: 0.8617 2022/08/09 18:33:55 - mmengine - INFO - Epoch(train) [76][1680/1879] lr: 2.0000e-03 eta: 7:33:55 time: 0.7599 data_time: 0.0204 memory: 13723 grad_norm: 4.5178 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7547 loss: 0.7547 2022/08/09 18:34:08 - mmengine - INFO - Epoch(train) [76][1700/1879] lr: 2.0000e-03 eta: 7:33:44 time: 0.6617 data_time: 0.0206 memory: 13723 grad_norm: 4.7610 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5441 loss: 0.5441 2022/08/09 18:34:19 - mmengine - INFO - Epoch(train) [76][1720/1879] lr: 2.0000e-03 eta: 7:33:32 time: 0.5736 data_time: 0.0203 memory: 13723 grad_norm: 4.6861 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7183 loss: 0.7183 2022/08/09 18:34:35 - mmengine - INFO - Epoch(train) [76][1740/1879] lr: 2.0000e-03 eta: 7:33:21 time: 0.7874 data_time: 0.0247 memory: 13723 grad_norm: 4.4716 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7568 loss: 0.7568 2022/08/09 18:34:47 - mmengine - INFO - Epoch(train) [76][1760/1879] lr: 2.0000e-03 eta: 7:33:09 time: 0.5803 data_time: 0.0241 memory: 13723 grad_norm: 4.7972 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7940 loss: 0.7940 2022/08/09 18:35:01 - mmengine - INFO - Epoch(train) [76][1780/1879] lr: 2.0000e-03 eta: 7:32:57 time: 0.7091 data_time: 0.1003 memory: 13723 grad_norm: 4.6615 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6925 loss: 0.6925 2022/08/09 18:35:17 - mmengine - INFO - Epoch(train) [76][1800/1879] lr: 2.0000e-03 eta: 7:32:47 time: 0.8177 data_time: 0.0193 memory: 13723 grad_norm: 4.4872 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6484 loss: 0.6484 2022/08/09 18:35:33 - mmengine - INFO - Epoch(train) [76][1820/1879] lr: 2.0000e-03 eta: 7:32:36 time: 0.8062 data_time: 0.0186 memory: 13723 grad_norm: 4.5381 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5782 loss: 0.5782 2022/08/09 18:35:46 - mmengine - INFO - Epoch(train) [76][1840/1879] lr: 2.0000e-03 eta: 7:32:24 time: 0.6198 data_time: 0.0659 memory: 13723 grad_norm: 4.5338 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6546 loss: 0.6546 2022/08/09 18:36:00 - mmengine - INFO - Epoch(train) [76][1860/1879] lr: 2.0000e-03 eta: 7:32:13 time: 0.7224 data_time: 0.1313 memory: 13723 grad_norm: 4.6407 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8028 loss: 0.8028 2022/08/09 18:36:14 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 18:36:14 - mmengine - INFO - Epoch(train) [76][1879/1879] lr: 2.0000e-03 eta: 7:32:13 time: 0.7229 data_time: 0.1891 memory: 13723 grad_norm: 4.5245 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.8019 loss: 0.8019 2022/08/09 18:36:29 - mmengine - INFO - Epoch(val) [76][20/155] eta: 0:01:41 time: 0.7521 data_time: 0.6142 memory: 1829 2022/08/09 18:36:41 - mmengine - INFO - Epoch(val) [76][40/155] eta: 0:01:06 time: 0.5816 data_time: 0.4386 memory: 1829 2022/08/09 18:36:49 - mmengine - INFO - Epoch(val) [76][60/155] eta: 0:00:39 time: 0.4125 data_time: 0.2766 memory: 1829 2022/08/09 18:37:00 - mmengine - INFO - Epoch(val) [76][80/155] eta: 0:00:41 time: 0.5519 data_time: 0.4148 memory: 1829 2022/08/09 18:37:11 - mmengine - INFO - Epoch(val) [76][100/155] eta: 0:00:28 time: 0.5188 data_time: 0.3804 memory: 1829 2022/08/09 18:37:23 - mmengine - INFO - Epoch(val) [76][120/155] eta: 0:00:22 time: 0.6404 data_time: 0.5035 memory: 1829 2022/08/09 18:37:31 - mmengine - INFO - Epoch(val) [76][140/155] eta: 0:00:06 time: 0.4038 data_time: 0.2664 memory: 1829 2022/08/09 18:37:57 - mmengine - INFO - Epoch(val) [76][155/155] acc/top1: 0.7096 acc/top5: 0.8967 acc/mean1: 0.7095 2022/08/09 18:38:16 - mmengine - INFO - Epoch(train) [77][20/1879] lr: 2.0000e-03 eta: 7:31:48 time: 0.9551 data_time: 0.4039 memory: 13723 grad_norm: 4.5735 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6351 loss: 0.6351 2022/08/09 18:38:28 - mmengine - INFO - Epoch(train) [77][40/1879] lr: 2.0000e-03 eta: 7:31:36 time: 0.6309 data_time: 0.0627 memory: 13723 grad_norm: 4.5792 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6587 loss: 0.6587 2022/08/09 18:38:45 - mmengine - INFO - Epoch(train) [77][60/1879] lr: 2.0000e-03 eta: 7:31:25 time: 0.8010 data_time: 0.0180 memory: 13723 grad_norm: 4.6296 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8208 loss: 0.8208 2022/08/09 18:38:59 - mmengine - INFO - Epoch(train) [77][80/1879] lr: 2.0000e-03 eta: 7:31:14 time: 0.7101 data_time: 0.0234 memory: 13723 grad_norm: 4.3696 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6539 loss: 0.6539 2022/08/09 18:39:11 - mmengine - INFO - Epoch(train) [77][100/1879] lr: 2.0000e-03 eta: 7:31:02 time: 0.6209 data_time: 0.0200 memory: 13723 grad_norm: 4.5076 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6565 loss: 0.6565 2022/08/09 18:39:23 - mmengine - INFO - Epoch(train) [77][120/1879] lr: 2.0000e-03 eta: 7:30:50 time: 0.6144 data_time: 0.0221 memory: 13723 grad_norm: 4.4835 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7452 loss: 0.7452 2022/08/09 18:39:37 - mmengine - INFO - Epoch(train) [77][140/1879] lr: 2.0000e-03 eta: 7:30:39 time: 0.6812 data_time: 0.0213 memory: 13723 grad_norm: 4.6124 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6906 loss: 0.6906 2022/08/09 18:39:50 - mmengine - INFO - Epoch(train) [77][160/1879] lr: 2.0000e-03 eta: 7:30:27 time: 0.6630 data_time: 0.0245 memory: 13723 grad_norm: 4.5551 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6981 loss: 0.6981 2022/08/09 18:40:03 - mmengine - INFO - Epoch(train) [77][180/1879] lr: 2.0000e-03 eta: 7:30:15 time: 0.6146 data_time: 0.0211 memory: 13723 grad_norm: 4.3526 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6453 loss: 0.6453 2022/08/09 18:40:15 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 18:40:19 - mmengine - INFO - Epoch(train) [77][200/1879] lr: 2.0000e-03 eta: 7:30:04 time: 0.8366 data_time: 0.0219 memory: 13723 grad_norm: 4.5458 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7531 loss: 0.7531 2022/08/09 18:40:31 - mmengine - INFO - Epoch(train) [77][220/1879] lr: 2.0000e-03 eta: 7:29:52 time: 0.5948 data_time: 0.0196 memory: 13723 grad_norm: 4.3811 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6600 loss: 0.6600 2022/08/09 18:40:44 - mmengine - INFO - Epoch(train) [77][240/1879] lr: 2.0000e-03 eta: 7:29:41 time: 0.6388 data_time: 0.0236 memory: 13723 grad_norm: 4.4773 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6525 loss: 0.6525 2022/08/09 18:41:02 - mmengine - INFO - Epoch(train) [77][260/1879] lr: 2.0000e-03 eta: 7:29:30 time: 0.8761 data_time: 0.0224 memory: 13723 grad_norm: 4.4523 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5806 loss: 0.5806 2022/08/09 18:41:13 - mmengine - INFO - Epoch(train) [77][280/1879] lr: 2.0000e-03 eta: 7:29:18 time: 0.5711 data_time: 0.0235 memory: 13723 grad_norm: 4.4008 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.6825 loss: 0.6825 2022/08/09 18:41:27 - mmengine - INFO - Epoch(train) [77][300/1879] lr: 2.0000e-03 eta: 7:29:07 time: 0.7060 data_time: 0.0218 memory: 13723 grad_norm: 4.4623 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6359 loss: 0.6359 2022/08/09 18:41:40 - mmengine - INFO - Epoch(train) [77][320/1879] lr: 2.0000e-03 eta: 7:28:55 time: 0.6418 data_time: 0.0246 memory: 13723 grad_norm: 4.4959 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7939 loss: 0.7939 2022/08/09 18:41:54 - mmengine - INFO - Epoch(train) [77][340/1879] lr: 2.0000e-03 eta: 7:28:43 time: 0.7088 data_time: 0.0224 memory: 13723 grad_norm: 4.6106 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7765 loss: 0.7765 2022/08/09 18:42:10 - mmengine - INFO - Epoch(train) [77][360/1879] lr: 2.0000e-03 eta: 7:28:33 time: 0.7964 data_time: 0.0252 memory: 13723 grad_norm: 4.5405 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8254 loss: 0.8254 2022/08/09 18:42:22 - mmengine - INFO - Epoch(train) [77][380/1879] lr: 2.0000e-03 eta: 7:28:20 time: 0.5688 data_time: 0.0198 memory: 13723 grad_norm: 4.4111 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6260 loss: 0.6260 2022/08/09 18:42:35 - mmengine - INFO - Epoch(train) [77][400/1879] lr: 2.0000e-03 eta: 7:28:09 time: 0.6481 data_time: 0.0766 memory: 13723 grad_norm: 4.5880 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7515 loss: 0.7515 2022/08/09 18:42:50 - mmengine - INFO - Epoch(train) [77][420/1879] lr: 2.0000e-03 eta: 7:27:58 time: 0.7458 data_time: 0.0621 memory: 13723 grad_norm: 4.7242 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7500 loss: 0.7500 2022/08/09 18:43:06 - mmengine - INFO - Epoch(train) [77][440/1879] lr: 2.0000e-03 eta: 7:27:47 time: 0.8346 data_time: 0.1020 memory: 13723 grad_norm: 4.4469 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6487 loss: 0.6487 2022/08/09 18:43:23 - mmengine - INFO - Epoch(train) [77][460/1879] lr: 2.0000e-03 eta: 7:27:36 time: 0.8191 data_time: 0.2655 memory: 13723 grad_norm: 4.4880 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7053 loss: 0.7053 2022/08/09 18:43:44 - mmengine - INFO - Epoch(train) [77][480/1879] lr: 2.0000e-03 eta: 7:27:27 time: 1.0481 data_time: 0.5093 memory: 13723 grad_norm: 4.6297 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6451 loss: 0.6451 2022/08/09 18:43:57 - mmengine - INFO - Epoch(train) [77][500/1879] lr: 2.0000e-03 eta: 7:27:15 time: 0.6611 data_time: 0.1065 memory: 13723 grad_norm: 4.7326 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7214 loss: 0.7214 2022/08/09 18:44:12 - mmengine - INFO - Epoch(train) [77][520/1879] lr: 2.0000e-03 eta: 7:27:04 time: 0.7759 data_time: 0.0224 memory: 13723 grad_norm: 4.4086 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7133 loss: 0.7133 2022/08/09 18:44:26 - mmengine - INFO - Epoch(train) [77][540/1879] lr: 2.0000e-03 eta: 7:26:53 time: 0.6976 data_time: 0.0187 memory: 13723 grad_norm: 4.5940 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7246 loss: 0.7246 2022/08/09 18:44:42 - mmengine - INFO - Epoch(train) [77][560/1879] lr: 2.0000e-03 eta: 7:26:42 time: 0.7707 data_time: 0.0200 memory: 13723 grad_norm: 4.4665 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6287 loss: 0.6287 2022/08/09 18:44:58 - mmengine - INFO - Epoch(train) [77][580/1879] lr: 2.0000e-03 eta: 7:26:31 time: 0.8062 data_time: 0.0214 memory: 13723 grad_norm: 4.4238 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5738 loss: 0.5738 2022/08/09 18:45:16 - mmengine - INFO - Epoch(train) [77][600/1879] lr: 2.0000e-03 eta: 7:26:21 time: 0.9182 data_time: 0.0190 memory: 13723 grad_norm: 4.4902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7899 loss: 0.7899 2022/08/09 18:45:30 - mmengine - INFO - Epoch(train) [77][620/1879] lr: 2.0000e-03 eta: 7:26:10 time: 0.7089 data_time: 0.0234 memory: 13723 grad_norm: 4.4371 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6144 loss: 0.6144 2022/08/09 18:45:44 - mmengine - INFO - Epoch(train) [77][640/1879] lr: 2.0000e-03 eta: 7:25:58 time: 0.6800 data_time: 0.1348 memory: 13723 grad_norm: 4.5253 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6796 loss: 0.6796 2022/08/09 18:45:58 - mmengine - INFO - Epoch(train) [77][660/1879] lr: 2.0000e-03 eta: 7:25:47 time: 0.6810 data_time: 0.1261 memory: 13723 grad_norm: 4.6644 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6945 loss: 0.6945 2022/08/09 18:46:13 - mmengine - INFO - Epoch(train) [77][680/1879] lr: 2.0000e-03 eta: 7:25:36 time: 0.7514 data_time: 0.1330 memory: 13723 grad_norm: 4.5198 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5264 loss: 0.5264 2022/08/09 18:46:29 - mmengine - INFO - Epoch(train) [77][700/1879] lr: 2.0000e-03 eta: 7:25:25 time: 0.7858 data_time: 0.0184 memory: 13723 grad_norm: 4.5902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7045 loss: 0.7045 2022/08/09 18:46:42 - mmengine - INFO - Epoch(train) [77][720/1879] lr: 2.0000e-03 eta: 7:25:13 time: 0.6620 data_time: 0.0883 memory: 13723 grad_norm: 4.4724 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7969 loss: 0.7969 2022/08/09 18:46:56 - mmengine - INFO - Epoch(train) [77][740/1879] lr: 2.0000e-03 eta: 7:25:02 time: 0.7030 data_time: 0.1408 memory: 13723 grad_norm: 4.7037 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7861 loss: 0.7861 2022/08/09 18:47:09 - mmengine - INFO - Epoch(train) [77][760/1879] lr: 2.0000e-03 eta: 7:24:50 time: 0.6816 data_time: 0.0184 memory: 13723 grad_norm: 4.5754 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6778 loss: 0.6778 2022/08/09 18:47:29 - mmengine - INFO - Epoch(train) [77][780/1879] lr: 2.0000e-03 eta: 7:24:40 time: 0.9610 data_time: 0.0187 memory: 13723 grad_norm: 4.6461 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7474 loss: 0.7474 2022/08/09 18:47:42 - mmengine - INFO - Epoch(train) [77][800/1879] lr: 2.0000e-03 eta: 7:24:29 time: 0.6695 data_time: 0.0470 memory: 13723 grad_norm: 4.7734 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8073 loss: 0.8073 2022/08/09 18:48:04 - mmengine - INFO - Epoch(train) [77][820/1879] lr: 2.0000e-03 eta: 7:24:20 time: 1.0894 data_time: 0.0187 memory: 13723 grad_norm: 4.5281 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7317 loss: 0.7317 2022/08/09 18:48:18 - mmengine - INFO - Epoch(train) [77][840/1879] lr: 2.0000e-03 eta: 7:24:08 time: 0.7082 data_time: 0.0202 memory: 13723 grad_norm: 4.6480 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7309 loss: 0.7309 2022/08/09 18:48:30 - mmengine - INFO - Epoch(train) [77][860/1879] lr: 2.0000e-03 eta: 7:23:56 time: 0.5893 data_time: 0.0193 memory: 13723 grad_norm: 4.5330 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6503 loss: 0.6503 2022/08/09 18:48:49 - mmengine - INFO - Epoch(train) [77][880/1879] lr: 2.0000e-03 eta: 7:23:46 time: 0.9610 data_time: 0.1992 memory: 13723 grad_norm: 4.5102 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6822 loss: 0.6822 2022/08/09 18:49:06 - mmengine - INFO - Epoch(train) [77][900/1879] lr: 2.0000e-03 eta: 7:23:36 time: 0.8616 data_time: 0.0476 memory: 13723 grad_norm: 4.6248 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6588 loss: 0.6588 2022/08/09 18:49:18 - mmengine - INFO - Epoch(train) [77][920/1879] lr: 2.0000e-03 eta: 7:23:24 time: 0.5711 data_time: 0.0241 memory: 13723 grad_norm: 4.8951 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7136 loss: 0.7136 2022/08/09 18:49:31 - mmengine - INFO - Epoch(train) [77][940/1879] lr: 2.0000e-03 eta: 7:23:12 time: 0.6741 data_time: 0.1160 memory: 13723 grad_norm: 4.4412 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7265 loss: 0.7265 2022/08/09 18:49:49 - mmengine - INFO - Epoch(train) [77][960/1879] lr: 2.0000e-03 eta: 7:23:02 time: 0.8801 data_time: 0.0766 memory: 13723 grad_norm: 4.7691 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6547 loss: 0.6547 2022/08/09 18:50:09 - mmengine - INFO - Epoch(train) [77][980/1879] lr: 2.0000e-03 eta: 7:22:52 time: 1.0085 data_time: 0.0997 memory: 13723 grad_norm: 4.5731 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6367 loss: 0.6367 2022/08/09 18:50:22 - mmengine - INFO - Epoch(train) [77][1000/1879] lr: 2.0000e-03 eta: 7:22:40 time: 0.6481 data_time: 0.0248 memory: 13723 grad_norm: 4.6055 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7744 loss: 0.7744 2022/08/09 18:50:41 - mmengine - INFO - Epoch(train) [77][1020/1879] lr: 2.0000e-03 eta: 7:22:30 time: 0.9424 data_time: 0.0184 memory: 13723 grad_norm: 4.6794 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7022 loss: 0.7022 2022/08/09 18:50:56 - mmengine - INFO - Epoch(train) [77][1040/1879] lr: 2.0000e-03 eta: 7:22:19 time: 0.7563 data_time: 0.0161 memory: 13723 grad_norm: 4.4898 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.6720 loss: 0.6720 2022/08/09 18:51:09 - mmengine - INFO - Epoch(train) [77][1060/1879] lr: 2.0000e-03 eta: 7:22:07 time: 0.6420 data_time: 0.0187 memory: 13723 grad_norm: 4.6457 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7317 loss: 0.7317 2022/08/09 18:51:29 - mmengine - INFO - Epoch(train) [77][1080/1879] lr: 2.0000e-03 eta: 7:21:58 time: 0.9782 data_time: 0.0198 memory: 13723 grad_norm: 4.5930 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6772 loss: 0.6772 2022/08/09 18:51:41 - mmengine - INFO - Epoch(train) [77][1100/1879] lr: 2.0000e-03 eta: 7:21:46 time: 0.6312 data_time: 0.0718 memory: 13723 grad_norm: 4.5055 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8555 loss: 0.8555 2022/08/09 18:51:59 - mmengine - INFO - Epoch(train) [77][1120/1879] lr: 2.0000e-03 eta: 7:21:36 time: 0.9001 data_time: 0.0375 memory: 13723 grad_norm: 4.5889 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7531 loss: 0.7531 2022/08/09 18:52:15 - mmengine - INFO - Epoch(train) [77][1140/1879] lr: 2.0000e-03 eta: 7:21:25 time: 0.7697 data_time: 0.1060 memory: 13723 grad_norm: 4.5256 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6421 loss: 0.6421 2022/08/09 18:52:29 - mmengine - INFO - Epoch(train) [77][1160/1879] lr: 2.0000e-03 eta: 7:21:13 time: 0.7098 data_time: 0.0218 memory: 13723 grad_norm: 4.5889 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6567 loss: 0.6567 2022/08/09 18:52:48 - mmengine - INFO - Epoch(train) [77][1180/1879] lr: 2.0000e-03 eta: 7:21:03 time: 0.9424 data_time: 0.0157 memory: 13723 grad_norm: 4.7465 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6352 loss: 0.6352 2022/08/09 18:52:58 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 18:53:07 - mmengine - INFO - Epoch(train) [77][1200/1879] lr: 2.0000e-03 eta: 7:20:53 time: 0.9839 data_time: 0.0824 memory: 13723 grad_norm: 4.4897 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6792 loss: 0.6792 2022/08/09 18:53:20 - mmengine - INFO - Epoch(train) [77][1220/1879] lr: 2.0000e-03 eta: 7:20:42 time: 0.6324 data_time: 0.0154 memory: 13723 grad_norm: 4.4991 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7273 loss: 0.7273 2022/08/09 18:53:34 - mmengine - INFO - Epoch(train) [77][1240/1879] lr: 2.0000e-03 eta: 7:20:30 time: 0.6756 data_time: 0.0249 memory: 13723 grad_norm: 4.7841 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6565 loss: 0.6565 2022/08/09 18:53:46 - mmengine - INFO - Epoch(train) [77][1260/1879] lr: 2.0000e-03 eta: 7:20:18 time: 0.6286 data_time: 0.0505 memory: 13723 grad_norm: 4.7664 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7114 loss: 0.7114 2022/08/09 18:54:05 - mmengine - INFO - Epoch(train) [77][1280/1879] lr: 2.0000e-03 eta: 7:20:08 time: 0.9494 data_time: 0.4043 memory: 13723 grad_norm: 4.5010 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7561 loss: 0.7561 2022/08/09 18:54:17 - mmengine - INFO - Epoch(train) [77][1300/1879] lr: 2.0000e-03 eta: 7:19:56 time: 0.5998 data_time: 0.0193 memory: 13723 grad_norm: 4.7779 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7515 loss: 0.7515 2022/08/09 18:54:31 - mmengine - INFO - Epoch(train) [77][1320/1879] lr: 2.0000e-03 eta: 7:19:44 time: 0.6816 data_time: 0.0232 memory: 13723 grad_norm: 4.6112 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7064 loss: 0.7064 2022/08/09 18:54:45 - mmengine - INFO - Epoch(train) [77][1340/1879] lr: 2.0000e-03 eta: 7:19:33 time: 0.7067 data_time: 0.1670 memory: 13723 grad_norm: 4.6923 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6915 loss: 0.6915 2022/08/09 18:55:01 - mmengine - INFO - Epoch(train) [77][1360/1879] lr: 2.0000e-03 eta: 7:19:22 time: 0.8095 data_time: 0.2687 memory: 13723 grad_norm: 4.6343 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7846 loss: 0.7846 2022/08/09 18:55:14 - mmengine - INFO - Epoch(train) [77][1380/1879] lr: 2.0000e-03 eta: 7:19:10 time: 0.6555 data_time: 0.0246 memory: 13723 grad_norm: 4.6098 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7162 loss: 0.7162 2022/08/09 18:55:31 - mmengine - INFO - Epoch(train) [77][1400/1879] lr: 2.0000e-03 eta: 7:19:00 time: 0.8418 data_time: 0.1835 memory: 13723 grad_norm: 4.6889 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7270 loss: 0.7270 2022/08/09 18:55:44 - mmengine - INFO - Epoch(train) [77][1420/1879] lr: 2.0000e-03 eta: 7:18:48 time: 0.6488 data_time: 0.0168 memory: 13723 grad_norm: 4.6383 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7394 loss: 0.7394 2022/08/09 18:55:59 - mmengine - INFO - Epoch(train) [77][1440/1879] lr: 2.0000e-03 eta: 7:18:37 time: 0.7422 data_time: 0.0219 memory: 13723 grad_norm: 4.7378 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6613 loss: 0.6613 2022/08/09 18:56:13 - mmengine - INFO - Epoch(train) [77][1460/1879] lr: 2.0000e-03 eta: 7:18:25 time: 0.6791 data_time: 0.0274 memory: 13723 grad_norm: 4.6965 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7569 loss: 0.7569 2022/08/09 18:56:28 - mmengine - INFO - Epoch(train) [77][1480/1879] lr: 2.0000e-03 eta: 7:18:14 time: 0.7622 data_time: 0.2089 memory: 13723 grad_norm: 4.6803 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7400 loss: 0.7400 2022/08/09 18:56:43 - mmengine - INFO - Epoch(train) [77][1500/1879] lr: 2.0000e-03 eta: 7:18:03 time: 0.7641 data_time: 0.0214 memory: 13723 grad_norm: 4.6535 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7499 loss: 0.7499 2022/08/09 18:56:57 - mmengine - INFO - Epoch(train) [77][1520/1879] lr: 2.0000e-03 eta: 7:17:51 time: 0.6705 data_time: 0.1158 memory: 13723 grad_norm: 4.6218 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7560 loss: 0.7560 2022/08/09 18:57:16 - mmengine - INFO - Epoch(train) [77][1540/1879] lr: 2.0000e-03 eta: 7:17:42 time: 0.9644 data_time: 0.3985 memory: 13723 grad_norm: 4.8514 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7741 loss: 0.7741 2022/08/09 18:57:29 - mmengine - INFO - Epoch(train) [77][1560/1879] lr: 2.0000e-03 eta: 7:17:30 time: 0.6488 data_time: 0.0205 memory: 13723 grad_norm: 4.6454 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7184 loss: 0.7184 2022/08/09 18:57:42 - mmengine - INFO - Epoch(train) [77][1580/1879] lr: 2.0000e-03 eta: 7:17:18 time: 0.6746 data_time: 0.0497 memory: 13723 grad_norm: 4.5836 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8096 loss: 0.8096 2022/08/09 18:57:56 - mmengine - INFO - Epoch(train) [77][1600/1879] lr: 2.0000e-03 eta: 7:17:07 time: 0.6969 data_time: 0.1031 memory: 13723 grad_norm: 4.5570 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7089 loss: 0.7089 2022/08/09 18:58:10 - mmengine - INFO - Epoch(train) [77][1620/1879] lr: 2.0000e-03 eta: 7:16:55 time: 0.6597 data_time: 0.0230 memory: 13723 grad_norm: 4.5040 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6793 loss: 0.6793 2022/08/09 18:58:22 - mmengine - INFO - Epoch(train) [77][1640/1879] lr: 2.0000e-03 eta: 7:16:43 time: 0.6434 data_time: 0.1013 memory: 13723 grad_norm: 4.7282 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7234 loss: 0.7234 2022/08/09 18:58:37 - mmengine - INFO - Epoch(train) [77][1660/1879] lr: 2.0000e-03 eta: 7:16:32 time: 0.7310 data_time: 0.0239 memory: 13723 grad_norm: 4.6522 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7779 loss: 0.7779 2022/08/09 18:58:51 - mmengine - INFO - Epoch(train) [77][1680/1879] lr: 2.0000e-03 eta: 7:16:20 time: 0.6844 data_time: 0.0780 memory: 13723 grad_norm: 4.5604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6960 loss: 0.6960 2022/08/09 18:59:06 - mmengine - INFO - Epoch(train) [77][1700/1879] lr: 2.0000e-03 eta: 7:16:09 time: 0.7453 data_time: 0.1492 memory: 13723 grad_norm: 4.6044 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6562 loss: 0.6562 2022/08/09 18:59:20 - mmengine - INFO - Epoch(train) [77][1720/1879] lr: 2.0000e-03 eta: 7:15:58 time: 0.7330 data_time: 0.1391 memory: 13723 grad_norm: 4.6188 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7408 loss: 0.7408 2022/08/09 18:59:41 - mmengine - INFO - Epoch(train) [77][1740/1879] lr: 2.0000e-03 eta: 7:15:48 time: 1.0361 data_time: 0.0386 memory: 13723 grad_norm: 4.8137 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7775 loss: 0.7775 2022/08/09 18:59:55 - mmengine - INFO - Epoch(train) [77][1760/1879] lr: 2.0000e-03 eta: 7:15:37 time: 0.6931 data_time: 0.0215 memory: 13723 grad_norm: 4.7357 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7179 loss: 0.7179 2022/08/09 19:00:13 - mmengine - INFO - Epoch(train) [77][1780/1879] lr: 2.0000e-03 eta: 7:15:26 time: 0.8786 data_time: 0.0214 memory: 13723 grad_norm: 4.4936 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7514 loss: 0.7514 2022/08/09 19:00:29 - mmengine - INFO - Epoch(train) [77][1800/1879] lr: 2.0000e-03 eta: 7:15:16 time: 0.8053 data_time: 0.0623 memory: 13723 grad_norm: 4.6054 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8380 loss: 0.8380 2022/08/09 19:00:42 - mmengine - INFO - Epoch(train) [77][1820/1879] lr: 2.0000e-03 eta: 7:15:04 time: 0.6526 data_time: 0.0295 memory: 13723 grad_norm: 4.4960 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7058 loss: 0.7058 2022/08/09 19:00:58 - mmengine - INFO - Epoch(train) [77][1840/1879] lr: 2.0000e-03 eta: 7:14:53 time: 0.7968 data_time: 0.2477 memory: 13723 grad_norm: 4.6388 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7224 loss: 0.7224 2022/08/09 19:01:13 - mmengine - INFO - Epoch(train) [77][1860/1879] lr: 2.0000e-03 eta: 7:14:42 time: 0.7498 data_time: 0.1903 memory: 13723 grad_norm: 4.7289 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6494 loss: 0.6494 2022/08/09 19:01:29 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 19:01:29 - mmengine - INFO - Epoch(train) [77][1879/1879] lr: 2.0000e-03 eta: 7:14:42 time: 0.8659 data_time: 0.0164 memory: 13723 grad_norm: 4.7417 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.5673 loss: 0.5673 2022/08/09 19:01:42 - mmengine - INFO - Epoch(val) [77][20/155] eta: 0:01:25 time: 0.6345 data_time: 0.4939 memory: 1829 2022/08/09 19:01:51 - mmengine - INFO - Epoch(val) [77][40/155] eta: 0:00:53 time: 0.4611 data_time: 0.3246 memory: 1829 2022/08/09 19:02:03 - mmengine - INFO - Epoch(val) [77][60/155] eta: 0:00:55 time: 0.5813 data_time: 0.4443 memory: 1829 2022/08/09 19:02:19 - mmengine - INFO - Epoch(val) [77][80/155] eta: 0:00:59 time: 0.7928 data_time: 0.6575 memory: 1829 2022/08/09 19:02:31 - mmengine - INFO - Epoch(val) [77][100/155] eta: 0:00:33 time: 0.6177 data_time: 0.4816 memory: 1829 2022/08/09 19:02:37 - mmengine - INFO - Epoch(val) [77][120/155] eta: 0:00:09 time: 0.2707 data_time: 0.1359 memory: 1829 2022/08/09 19:02:47 - mmengine - INFO - Epoch(val) [77][140/155] eta: 0:00:07 time: 0.4931 data_time: 0.3573 memory: 1829 2022/08/09 19:03:24 - mmengine - INFO - Epoch(val) [77][155/155] acc/top1: 0.7097 acc/top5: 0.8942 acc/mean1: 0.7096 2022/08/09 19:03:45 - mmengine - INFO - Epoch(train) [78][20/1879] lr: 2.0000e-03 eta: 7:14:17 time: 1.0511 data_time: 0.3274 memory: 13723 grad_norm: 4.4865 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6308 loss: 0.6308 2022/08/09 19:03:59 - mmengine - INFO - Epoch(train) [78][40/1879] lr: 2.0000e-03 eta: 7:14:06 time: 0.6979 data_time: 0.0265 memory: 13723 grad_norm: 4.5628 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7597 loss: 0.7597 2022/08/09 19:04:14 - mmengine - INFO - Epoch(train) [78][60/1879] lr: 2.0000e-03 eta: 7:13:55 time: 0.7356 data_time: 0.0193 memory: 13723 grad_norm: 4.6925 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6004 loss: 0.6004 2022/08/09 19:04:28 - mmengine - INFO - Epoch(train) [78][80/1879] lr: 2.0000e-03 eta: 7:13:43 time: 0.7168 data_time: 0.1443 memory: 13723 grad_norm: 4.6223 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6176 loss: 0.6176 2022/08/09 19:04:51 - mmengine - INFO - Epoch(train) [78][100/1879] lr: 2.0000e-03 eta: 7:13:34 time: 1.1060 data_time: 0.0166 memory: 13723 grad_norm: 4.6190 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5542 loss: 0.5542 2022/08/09 19:05:05 - mmengine - INFO - Epoch(train) [78][120/1879] lr: 2.0000e-03 eta: 7:13:23 time: 0.6960 data_time: 0.0193 memory: 13723 grad_norm: 4.6305 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6753 loss: 0.6753 2022/08/09 19:05:24 - mmengine - INFO - Epoch(train) [78][140/1879] lr: 2.0000e-03 eta: 7:13:13 time: 0.9557 data_time: 0.0705 memory: 13723 grad_norm: 4.4614 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6282 loss: 0.6282 2022/08/09 19:05:39 - mmengine - INFO - Epoch(train) [78][160/1879] lr: 2.0000e-03 eta: 7:13:02 time: 0.7730 data_time: 0.0206 memory: 13723 grad_norm: 4.6053 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6609 loss: 0.6609 2022/08/09 19:05:54 - mmengine - INFO - Epoch(train) [78][180/1879] lr: 2.0000e-03 eta: 7:12:50 time: 0.7413 data_time: 0.0214 memory: 13723 grad_norm: 4.4458 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6448 loss: 0.6448 2022/08/09 19:06:08 - mmengine - INFO - Epoch(train) [78][200/1879] lr: 2.0000e-03 eta: 7:12:39 time: 0.7169 data_time: 0.0224 memory: 13723 grad_norm: 4.4899 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7700 loss: 0.7700 2022/08/09 19:06:20 - mmengine - INFO - Epoch(train) [78][220/1879] lr: 2.0000e-03 eta: 7:12:27 time: 0.6086 data_time: 0.0231 memory: 13723 grad_norm: 4.5850 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7552 loss: 0.7552 2022/08/09 19:06:35 - mmengine - INFO - Epoch(train) [78][240/1879] lr: 2.0000e-03 eta: 7:12:15 time: 0.6998 data_time: 0.0221 memory: 13723 grad_norm: 4.5974 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5878 loss: 0.5878 2022/08/09 19:06:48 - mmengine - INFO - Epoch(train) [78][260/1879] lr: 2.0000e-03 eta: 7:12:04 time: 0.6654 data_time: 0.0349 memory: 13723 grad_norm: 4.7115 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7885 loss: 0.7885 2022/08/09 19:07:03 - mmengine - INFO - Epoch(train) [78][280/1879] lr: 2.0000e-03 eta: 7:11:52 time: 0.7424 data_time: 0.0341 memory: 13723 grad_norm: 4.5110 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7384 loss: 0.7384 2022/08/09 19:07:20 - mmengine - INFO - Epoch(train) [78][300/1879] lr: 2.0000e-03 eta: 7:11:42 time: 0.8638 data_time: 0.0278 memory: 13723 grad_norm: 4.5313 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.7008 loss: 0.7008 2022/08/09 19:07:32 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 19:07:33 - mmengine - INFO - Epoch(train) [78][320/1879] lr: 2.0000e-03 eta: 7:11:30 time: 0.6651 data_time: 0.0239 memory: 13723 grad_norm: 4.5728 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6046 loss: 0.6046 2022/08/09 19:07:45 - mmengine - INFO - Epoch(train) [78][340/1879] lr: 2.0000e-03 eta: 7:11:18 time: 0.5786 data_time: 0.0194 memory: 13723 grad_norm: 4.5217 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7090 loss: 0.7090 2022/08/09 19:07:57 - mmengine - INFO - Epoch(train) [78][360/1879] lr: 2.0000e-03 eta: 7:11:06 time: 0.5981 data_time: 0.0255 memory: 13723 grad_norm: 4.5420 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6837 loss: 0.6837 2022/08/09 19:08:12 - mmengine - INFO - Epoch(train) [78][380/1879] lr: 2.0000e-03 eta: 7:10:55 time: 0.7733 data_time: 0.2302 memory: 13723 grad_norm: 4.5507 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5856 loss: 0.5856 2022/08/09 19:08:25 - mmengine - INFO - Epoch(train) [78][400/1879] lr: 2.0000e-03 eta: 7:10:43 time: 0.6487 data_time: 0.0915 memory: 13723 grad_norm: 4.6534 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6711 loss: 0.6711 2022/08/09 19:08:42 - mmengine - INFO - Epoch(train) [78][420/1879] lr: 2.0000e-03 eta: 7:10:32 time: 0.8574 data_time: 0.2766 memory: 13723 grad_norm: 4.5441 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.6512 loss: 0.6512 2022/08/09 19:08:54 - mmengine - INFO - Epoch(train) [78][440/1879] lr: 2.0000e-03 eta: 7:10:20 time: 0.5694 data_time: 0.0223 memory: 13723 grad_norm: 4.5458 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7638 loss: 0.7638 2022/08/09 19:09:08 - mmengine - INFO - Epoch(train) [78][460/1879] lr: 2.0000e-03 eta: 7:10:09 time: 0.7243 data_time: 0.0564 memory: 13723 grad_norm: 4.5660 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7775 loss: 0.7775 2022/08/09 19:09:22 - mmengine - INFO - Epoch(train) [78][480/1879] lr: 2.0000e-03 eta: 7:09:57 time: 0.6905 data_time: 0.0211 memory: 13723 grad_norm: 4.5944 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6591 loss: 0.6591 2022/08/09 19:09:36 - mmengine - INFO - Epoch(train) [78][500/1879] lr: 2.0000e-03 eta: 7:09:46 time: 0.7058 data_time: 0.0205 memory: 13723 grad_norm: 4.6375 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7210 loss: 0.7210 2022/08/09 19:09:49 - mmengine - INFO - Epoch(train) [78][520/1879] lr: 2.0000e-03 eta: 7:09:34 time: 0.6126 data_time: 0.0203 memory: 13723 grad_norm: 4.6406 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7097 loss: 0.7097 2022/08/09 19:10:05 - mmengine - INFO - Epoch(train) [78][540/1879] lr: 2.0000e-03 eta: 7:09:23 time: 0.8230 data_time: 0.0221 memory: 13723 grad_norm: 4.6746 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7651 loss: 0.7651 2022/08/09 19:10:23 - mmengine - INFO - Epoch(train) [78][560/1879] lr: 2.0000e-03 eta: 7:09:13 time: 0.9079 data_time: 0.0773 memory: 13723 grad_norm: 4.5054 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7354 loss: 0.7354 2022/08/09 19:10:35 - mmengine - INFO - Epoch(train) [78][580/1879] lr: 2.0000e-03 eta: 7:09:00 time: 0.5771 data_time: 0.0230 memory: 13723 grad_norm: 4.5949 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5281 loss: 0.5281 2022/08/09 19:10:48 - mmengine - INFO - Epoch(train) [78][600/1879] lr: 2.0000e-03 eta: 7:08:49 time: 0.6390 data_time: 0.0225 memory: 13723 grad_norm: 4.5662 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6677 loss: 0.6677 2022/08/09 19:11:03 - mmengine - INFO - Epoch(train) [78][620/1879] lr: 2.0000e-03 eta: 7:08:38 time: 0.7860 data_time: 0.0214 memory: 13723 grad_norm: 4.6483 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7198 loss: 0.7198 2022/08/09 19:11:17 - mmengine - INFO - Epoch(train) [78][640/1879] lr: 2.0000e-03 eta: 7:08:26 time: 0.6837 data_time: 0.0184 memory: 13723 grad_norm: 4.4382 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7208 loss: 0.7208 2022/08/09 19:11:32 - mmengine - INFO - Epoch(train) [78][660/1879] lr: 2.0000e-03 eta: 7:08:15 time: 0.7382 data_time: 0.0212 memory: 13723 grad_norm: 4.3513 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7178 loss: 0.7178 2022/08/09 19:11:45 - mmengine - INFO - Epoch(train) [78][680/1879] lr: 2.0000e-03 eta: 7:08:03 time: 0.6361 data_time: 0.0204 memory: 13723 grad_norm: 4.5831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7208 loss: 0.7208 2022/08/09 19:11:57 - mmengine - INFO - Epoch(train) [78][700/1879] lr: 2.0000e-03 eta: 7:07:51 time: 0.6100 data_time: 0.0228 memory: 13723 grad_norm: 4.5372 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6253 loss: 0.6253 2022/08/09 19:12:13 - mmengine - INFO - Epoch(train) [78][720/1879] lr: 2.0000e-03 eta: 7:07:40 time: 0.8062 data_time: 0.0195 memory: 13723 grad_norm: 4.5315 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6420 loss: 0.6420 2022/08/09 19:12:26 - mmengine - INFO - Epoch(train) [78][740/1879] lr: 2.0000e-03 eta: 7:07:28 time: 0.6298 data_time: 0.0233 memory: 13723 grad_norm: 4.5763 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6970 loss: 0.6970 2022/08/09 19:12:38 - mmengine - INFO - Epoch(train) [78][760/1879] lr: 2.0000e-03 eta: 7:07:16 time: 0.6422 data_time: 0.0204 memory: 13723 grad_norm: 4.7638 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7059 loss: 0.7059 2022/08/09 19:12:53 - mmengine - INFO - Epoch(train) [78][780/1879] lr: 2.0000e-03 eta: 7:07:05 time: 0.7236 data_time: 0.0214 memory: 13723 grad_norm: 4.6129 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6531 loss: 0.6531 2022/08/09 19:13:08 - mmengine - INFO - Epoch(train) [78][800/1879] lr: 2.0000e-03 eta: 7:06:54 time: 0.7623 data_time: 0.1484 memory: 13723 grad_norm: 4.6341 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8491 loss: 0.8491 2022/08/09 19:13:20 - mmengine - INFO - Epoch(train) [78][820/1879] lr: 2.0000e-03 eta: 7:06:41 time: 0.5696 data_time: 0.0177 memory: 13723 grad_norm: 4.4221 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6193 loss: 0.6193 2022/08/09 19:13:31 - mmengine - INFO - Epoch(train) [78][840/1879] lr: 2.0000e-03 eta: 7:06:29 time: 0.5804 data_time: 0.0247 memory: 13723 grad_norm: 4.6068 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7785 loss: 0.7785 2022/08/09 19:13:44 - mmengine - INFO - Epoch(train) [78][860/1879] lr: 2.0000e-03 eta: 7:06:17 time: 0.6166 data_time: 0.0383 memory: 13723 grad_norm: 4.6743 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7214 loss: 0.7214 2022/08/09 19:14:01 - mmengine - INFO - Epoch(train) [78][880/1879] lr: 2.0000e-03 eta: 7:06:07 time: 0.8641 data_time: 0.0175 memory: 13723 grad_norm: 4.5042 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8651 loss: 0.8651 2022/08/09 19:14:12 - mmengine - INFO - Epoch(train) [78][900/1879] lr: 2.0000e-03 eta: 7:05:54 time: 0.5734 data_time: 0.0220 memory: 13723 grad_norm: 4.5364 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5196 loss: 0.5196 2022/08/09 19:14:27 - mmengine - INFO - Epoch(train) [78][920/1879] lr: 2.0000e-03 eta: 7:05:43 time: 0.7227 data_time: 0.0219 memory: 13723 grad_norm: 4.7169 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7633 loss: 0.7633 2022/08/09 19:14:39 - mmengine - INFO - Epoch(train) [78][940/1879] lr: 2.0000e-03 eta: 7:05:31 time: 0.6022 data_time: 0.0238 memory: 13723 grad_norm: 4.4798 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6962 loss: 0.6962 2022/08/09 19:14:52 - mmengine - INFO - Epoch(train) [78][960/1879] lr: 2.0000e-03 eta: 7:05:19 time: 0.6359 data_time: 0.0204 memory: 13723 grad_norm: 4.5079 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6144 loss: 0.6144 2022/08/09 19:15:03 - mmengine - INFO - Epoch(train) [78][980/1879] lr: 2.0000e-03 eta: 7:05:07 time: 0.5917 data_time: 0.0236 memory: 13723 grad_norm: 4.7822 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7932 loss: 0.7932 2022/08/09 19:15:18 - mmengine - INFO - Epoch(train) [78][1000/1879] lr: 2.0000e-03 eta: 7:04:56 time: 0.7451 data_time: 0.0562 memory: 13723 grad_norm: 4.5143 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6754 loss: 0.6754 2022/08/09 19:15:33 - mmengine - INFO - Epoch(train) [78][1020/1879] lr: 2.0000e-03 eta: 7:04:44 time: 0.7286 data_time: 0.0199 memory: 13723 grad_norm: 4.5901 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7331 loss: 0.7331 2022/08/09 19:15:47 - mmengine - INFO - Epoch(train) [78][1040/1879] lr: 2.0000e-03 eta: 7:04:33 time: 0.7176 data_time: 0.0219 memory: 13723 grad_norm: 4.5918 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8830 loss: 0.8830 2022/08/09 19:15:59 - mmengine - INFO - Epoch(train) [78][1060/1879] lr: 2.0000e-03 eta: 7:04:21 time: 0.6054 data_time: 0.0222 memory: 13723 grad_norm: 4.6545 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6548 loss: 0.6548 2022/08/09 19:16:14 - mmengine - INFO - Epoch(train) [78][1080/1879] lr: 2.0000e-03 eta: 7:04:09 time: 0.7382 data_time: 0.0191 memory: 13723 grad_norm: 4.6204 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5463 loss: 0.5463 2022/08/09 19:16:28 - mmengine - INFO - Epoch(train) [78][1100/1879] lr: 2.0000e-03 eta: 7:03:58 time: 0.7137 data_time: 0.0205 memory: 13723 grad_norm: 4.7169 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8131 loss: 0.8131 2022/08/09 19:16:43 - mmengine - INFO - Epoch(train) [78][1120/1879] lr: 2.0000e-03 eta: 7:03:47 time: 0.7236 data_time: 0.0236 memory: 13723 grad_norm: 4.7060 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6160 loss: 0.6160 2022/08/09 19:17:02 - mmengine - INFO - Epoch(train) [78][1140/1879] lr: 2.0000e-03 eta: 7:03:36 time: 0.9286 data_time: 0.0177 memory: 13723 grad_norm: 4.5499 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6291 loss: 0.6291 2022/08/09 19:17:13 - mmengine - INFO - Epoch(train) [78][1160/1879] lr: 2.0000e-03 eta: 7:03:24 time: 0.5711 data_time: 0.0212 memory: 13723 grad_norm: 4.8214 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6725 loss: 0.6725 2022/08/09 19:17:26 - mmengine - INFO - Epoch(train) [78][1180/1879] lr: 2.0000e-03 eta: 7:03:12 time: 0.6406 data_time: 0.0216 memory: 13723 grad_norm: 4.5077 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6457 loss: 0.6457 2022/08/09 19:17:39 - mmengine - INFO - Epoch(train) [78][1200/1879] lr: 2.0000e-03 eta: 7:03:00 time: 0.6712 data_time: 0.0228 memory: 13723 grad_norm: 4.6549 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7618 loss: 0.7618 2022/08/09 19:17:55 - mmengine - INFO - Epoch(train) [78][1220/1879] lr: 2.0000e-03 eta: 7:02:49 time: 0.7785 data_time: 0.0212 memory: 13723 grad_norm: 4.5171 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7598 loss: 0.7598 2022/08/09 19:18:09 - mmengine - INFO - Epoch(train) [78][1240/1879] lr: 2.0000e-03 eta: 7:02:38 time: 0.7170 data_time: 0.0206 memory: 13723 grad_norm: 4.6770 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7098 loss: 0.7098 2022/08/09 19:18:24 - mmengine - INFO - Epoch(train) [78][1260/1879] lr: 2.0000e-03 eta: 7:02:27 time: 0.7417 data_time: 0.0191 memory: 13723 grad_norm: 4.5603 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7150 loss: 0.7150 2022/08/09 19:18:38 - mmengine - INFO - Epoch(train) [78][1280/1879] lr: 2.0000e-03 eta: 7:02:15 time: 0.6826 data_time: 0.0220 memory: 13723 grad_norm: 4.5147 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6154 loss: 0.6154 2022/08/09 19:18:52 - mmengine - INFO - Epoch(train) [78][1300/1879] lr: 2.0000e-03 eta: 7:02:04 time: 0.6982 data_time: 0.0206 memory: 13723 grad_norm: 4.6451 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6287 loss: 0.6287 2022/08/09 19:19:01 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 19:19:03 - mmengine - INFO - Epoch(train) [78][1320/1879] lr: 2.0000e-03 eta: 7:01:51 time: 0.5682 data_time: 0.0248 memory: 13723 grad_norm: 4.6096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7280 loss: 0.7280 2022/08/09 19:19:16 - mmengine - INFO - Epoch(train) [78][1340/1879] lr: 2.0000e-03 eta: 7:01:39 time: 0.6208 data_time: 0.0222 memory: 13723 grad_norm: 4.7633 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7575 loss: 0.7575 2022/08/09 19:19:31 - mmengine - INFO - Epoch(train) [78][1360/1879] lr: 2.0000e-03 eta: 7:01:28 time: 0.7752 data_time: 0.1909 memory: 13723 grad_norm: 4.5728 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6793 loss: 0.6793 2022/08/09 19:19:43 - mmengine - INFO - Epoch(train) [78][1380/1879] lr: 2.0000e-03 eta: 7:01:16 time: 0.6159 data_time: 0.0160 memory: 13723 grad_norm: 4.5856 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.6883 loss: 0.6883 2022/08/09 19:19:59 - mmengine - INFO - Epoch(train) [78][1400/1879] lr: 2.0000e-03 eta: 7:01:05 time: 0.7574 data_time: 0.0234 memory: 13723 grad_norm: 4.6626 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6818 loss: 0.6818 2022/08/09 19:20:15 - mmengine - INFO - Epoch(train) [78][1420/1879] lr: 2.0000e-03 eta: 7:00:54 time: 0.7998 data_time: 0.0235 memory: 13723 grad_norm: 4.8869 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6276 loss: 0.6276 2022/08/09 19:20:30 - mmengine - INFO - Epoch(train) [78][1440/1879] lr: 2.0000e-03 eta: 7:00:43 time: 0.7877 data_time: 0.0167 memory: 13723 grad_norm: 4.8608 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5679 loss: 0.5679 2022/08/09 19:20:48 - mmengine - INFO - Epoch(train) [78][1460/1879] lr: 2.0000e-03 eta: 7:00:32 time: 0.8662 data_time: 0.0182 memory: 13723 grad_norm: 4.5598 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5710 loss: 0.5710 2022/08/09 19:21:00 - mmengine - INFO - Epoch(train) [78][1480/1879] lr: 2.0000e-03 eta: 7:00:20 time: 0.6144 data_time: 0.0227 memory: 13723 grad_norm: 4.6474 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6279 loss: 0.6279 2022/08/09 19:21:13 - mmengine - INFO - Epoch(train) [78][1500/1879] lr: 2.0000e-03 eta: 7:00:09 time: 0.6614 data_time: 0.0216 memory: 13723 grad_norm: 4.7188 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8881 loss: 0.8881 2022/08/09 19:21:25 - mmengine - INFO - Epoch(train) [78][1520/1879] lr: 2.0000e-03 eta: 6:59:56 time: 0.5812 data_time: 0.0252 memory: 13723 grad_norm: 4.5583 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7224 loss: 0.7224 2022/08/09 19:21:39 - mmengine - INFO - Epoch(train) [78][1540/1879] lr: 2.0000e-03 eta: 6:59:45 time: 0.7308 data_time: 0.0227 memory: 13723 grad_norm: 4.6879 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6474 loss: 0.6474 2022/08/09 19:21:51 - mmengine - INFO - Epoch(train) [78][1560/1879] lr: 2.0000e-03 eta: 6:59:33 time: 0.5712 data_time: 0.0234 memory: 13723 grad_norm: 4.7937 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7845 loss: 0.7845 2022/08/09 19:22:04 - mmengine - INFO - Epoch(train) [78][1580/1879] lr: 2.0000e-03 eta: 6:59:21 time: 0.6565 data_time: 0.1090 memory: 13723 grad_norm: 4.5587 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7480 loss: 0.7480 2022/08/09 19:22:19 - mmengine - INFO - Epoch(train) [78][1600/1879] lr: 2.0000e-03 eta: 6:59:10 time: 0.7468 data_time: 0.2002 memory: 13723 grad_norm: 4.6342 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6670 loss: 0.6670 2022/08/09 19:22:32 - mmengine - INFO - Epoch(train) [78][1620/1879] lr: 2.0000e-03 eta: 6:58:58 time: 0.6468 data_time: 0.0973 memory: 13723 grad_norm: 4.5673 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7687 loss: 0.7687 2022/08/09 19:22:45 - mmengine - INFO - Epoch(train) [78][1640/1879] lr: 2.0000e-03 eta: 6:58:46 time: 0.6703 data_time: 0.1282 memory: 13723 grad_norm: 4.6271 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7047 loss: 0.7047 2022/08/09 19:22:57 - mmengine - INFO - Epoch(train) [78][1660/1879] lr: 2.0000e-03 eta: 6:58:34 time: 0.5847 data_time: 0.0261 memory: 13723 grad_norm: 4.6031 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6731 loss: 0.6731 2022/08/09 19:23:10 - mmengine - INFO - Epoch(train) [78][1680/1879] lr: 2.0000e-03 eta: 6:58:22 time: 0.6503 data_time: 0.0844 memory: 13723 grad_norm: 4.8079 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5739 loss: 0.5739 2022/08/09 19:23:25 - mmengine - INFO - Epoch(train) [78][1700/1879] lr: 2.0000e-03 eta: 6:58:11 time: 0.7348 data_time: 0.1770 memory: 13723 grad_norm: 4.7272 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7817 loss: 0.7817 2022/08/09 19:23:38 - mmengine - INFO - Epoch(train) [78][1720/1879] lr: 2.0000e-03 eta: 6:57:59 time: 0.6554 data_time: 0.0219 memory: 13723 grad_norm: 4.5884 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7183 loss: 0.7183 2022/08/09 19:23:51 - mmengine - INFO - Epoch(train) [78][1740/1879] lr: 2.0000e-03 eta: 6:57:47 time: 0.6384 data_time: 0.0223 memory: 13723 grad_norm: 4.7150 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6757 loss: 0.6757 2022/08/09 19:24:04 - mmengine - INFO - Epoch(train) [78][1760/1879] lr: 2.0000e-03 eta: 6:57:35 time: 0.6814 data_time: 0.0239 memory: 13723 grad_norm: 4.6520 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6652 loss: 0.6652 2022/08/09 19:24:17 - mmengine - INFO - Epoch(train) [78][1780/1879] lr: 2.0000e-03 eta: 6:57:23 time: 0.6339 data_time: 0.0209 memory: 13723 grad_norm: 4.7335 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8627 loss: 0.8627 2022/08/09 19:24:29 - mmengine - INFO - Epoch(train) [78][1800/1879] lr: 2.0000e-03 eta: 6:57:11 time: 0.6171 data_time: 0.0233 memory: 13723 grad_norm: 4.5408 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6131 loss: 0.6131 2022/08/09 19:24:41 - mmengine - INFO - Epoch(train) [78][1820/1879] lr: 2.0000e-03 eta: 6:56:59 time: 0.5771 data_time: 0.0236 memory: 13723 grad_norm: 4.6395 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6031 loss: 0.6031 2022/08/09 19:24:55 - mmengine - INFO - Epoch(train) [78][1840/1879] lr: 2.0000e-03 eta: 6:56:48 time: 0.7009 data_time: 0.1535 memory: 13723 grad_norm: 4.6005 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6500 loss: 0.6500 2022/08/09 19:25:13 - mmengine - INFO - Epoch(train) [78][1860/1879] lr: 2.0000e-03 eta: 6:56:37 time: 0.8860 data_time: 0.0558 memory: 13723 grad_norm: 4.7547 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7840 loss: 0.7840 2022/08/09 19:25:25 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 19:25:25 - mmengine - INFO - Epoch(train) [78][1879/1879] lr: 2.0000e-03 eta: 6:56:37 time: 0.6615 data_time: 0.0823 memory: 13723 grad_norm: 4.6688 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.6355 loss: 0.6355 2022/08/09 19:25:26 - mmengine - INFO - Saving checkpoint at 78 epochs 2022/08/09 19:25:39 - mmengine - INFO - Epoch(val) [78][20/155] eta: 0:01:22 time: 0.6090 data_time: 0.4687 memory: 1829 2022/08/09 19:25:51 - mmengine - INFO - Epoch(val) [78][40/155] eta: 0:01:07 time: 0.5894 data_time: 0.4501 memory: 1829 2022/08/09 19:26:00 - mmengine - INFO - Epoch(val) [78][60/155] eta: 0:00:40 time: 0.4287 data_time: 0.2909 memory: 1829 2022/08/09 19:26:12 - mmengine - INFO - Epoch(val) [78][80/155] eta: 0:00:46 time: 0.6217 data_time: 0.4797 memory: 1829 2022/08/09 19:26:22 - mmengine - INFO - Epoch(val) [78][100/155] eta: 0:00:27 time: 0.5040 data_time: 0.3662 memory: 1829 2022/08/09 19:26:33 - mmengine - INFO - Epoch(val) [78][120/155] eta: 0:00:18 time: 0.5303 data_time: 0.3939 memory: 1829 2022/08/09 19:26:41 - mmengine - INFO - Epoch(val) [78][140/155] eta: 0:00:06 time: 0.4104 data_time: 0.2742 memory: 1829 2022/08/09 19:27:07 - mmengine - INFO - Epoch(val) [78][155/155] acc/top1: 0.7114 acc/top5: 0.8960 acc/mean1: 0.7113 2022/08/09 19:27:28 - mmengine - INFO - Epoch(train) [79][20/1879] lr: 2.0000e-03 eta: 6:56:13 time: 1.0281 data_time: 0.1989 memory: 13723 grad_norm: 4.7608 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7400 loss: 0.7400 2022/08/09 19:27:45 - mmengine - INFO - Epoch(train) [79][40/1879] lr: 2.0000e-03 eta: 6:56:02 time: 0.8654 data_time: 0.0213 memory: 13723 grad_norm: 4.7672 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5694 loss: 0.5694 2022/08/09 19:28:01 - mmengine - INFO - Epoch(train) [79][60/1879] lr: 2.0000e-03 eta: 6:55:51 time: 0.7732 data_time: 0.0274 memory: 13723 grad_norm: 4.4425 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7481 loss: 0.7481 2022/08/09 19:28:12 - mmengine - INFO - Epoch(train) [79][80/1879] lr: 2.0000e-03 eta: 6:55:39 time: 0.5646 data_time: 0.0215 memory: 13723 grad_norm: 4.5958 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7736 loss: 0.7736 2022/08/09 19:28:24 - mmengine - INFO - Epoch(train) [79][100/1879] lr: 2.0000e-03 eta: 6:55:26 time: 0.5941 data_time: 0.0388 memory: 13723 grad_norm: 4.5214 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6461 loss: 0.6461 2022/08/09 19:28:36 - mmengine - INFO - Epoch(train) [79][120/1879] lr: 2.0000e-03 eta: 6:55:14 time: 0.6189 data_time: 0.0335 memory: 13723 grad_norm: 4.6412 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8210 loss: 0.8210 2022/08/09 19:28:50 - mmengine - INFO - Epoch(train) [79][140/1879] lr: 2.0000e-03 eta: 6:55:03 time: 0.6941 data_time: 0.0220 memory: 13723 grad_norm: 4.6316 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7195 loss: 0.7195 2022/08/09 19:29:03 - mmengine - INFO - Epoch(train) [79][160/1879] lr: 2.0000e-03 eta: 6:54:51 time: 0.6518 data_time: 0.0206 memory: 13723 grad_norm: 4.5314 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7588 loss: 0.7588 2022/08/09 19:29:18 - mmengine - INFO - Epoch(train) [79][180/1879] lr: 2.0000e-03 eta: 6:54:40 time: 0.7252 data_time: 0.0220 memory: 13723 grad_norm: 4.5630 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7122 loss: 0.7122 2022/08/09 19:29:31 - mmengine - INFO - Epoch(train) [79][200/1879] lr: 2.0000e-03 eta: 6:54:28 time: 0.6825 data_time: 0.0196 memory: 13723 grad_norm: 4.6565 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6437 loss: 0.6437 2022/08/09 19:29:44 - mmengine - INFO - Epoch(train) [79][220/1879] lr: 2.0000e-03 eta: 6:54:16 time: 0.6262 data_time: 0.0232 memory: 13723 grad_norm: 4.5781 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6689 loss: 0.6689 2022/08/09 19:30:00 - mmengine - INFO - Epoch(train) [79][240/1879] lr: 2.0000e-03 eta: 6:54:05 time: 0.8098 data_time: 0.0210 memory: 13723 grad_norm: 4.6935 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6123 loss: 0.6123 2022/08/09 19:30:16 - mmengine - INFO - Epoch(train) [79][260/1879] lr: 2.0000e-03 eta: 6:53:54 time: 0.7852 data_time: 0.0658 memory: 13723 grad_norm: 4.6414 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7728 loss: 0.7728 2022/08/09 19:30:32 - mmengine - INFO - Epoch(train) [79][280/1879] lr: 2.0000e-03 eta: 6:53:43 time: 0.7845 data_time: 0.1356 memory: 13723 grad_norm: 4.5655 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6186 loss: 0.6186 2022/08/09 19:30:44 - mmengine - INFO - Epoch(train) [79][300/1879] lr: 2.0000e-03 eta: 6:53:31 time: 0.6324 data_time: 0.0193 memory: 13723 grad_norm: 4.7963 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5838 loss: 0.5838 2022/08/09 19:31:01 - mmengine - INFO - Epoch(train) [79][320/1879] lr: 2.0000e-03 eta: 6:53:20 time: 0.8228 data_time: 0.0386 memory: 13723 grad_norm: 4.4893 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6797 loss: 0.6797 2022/08/09 19:31:14 - mmengine - INFO - Epoch(train) [79][340/1879] lr: 2.0000e-03 eta: 6:53:08 time: 0.6726 data_time: 0.0251 memory: 13723 grad_norm: 4.6242 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7311 loss: 0.7311 2022/08/09 19:31:27 - mmengine - INFO - Epoch(train) [79][360/1879] lr: 2.0000e-03 eta: 6:52:56 time: 0.6271 data_time: 0.0426 memory: 13723 grad_norm: 4.5691 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7060 loss: 0.7060 2022/08/09 19:31:43 - mmengine - INFO - Epoch(train) [79][380/1879] lr: 2.0000e-03 eta: 6:52:46 time: 0.8253 data_time: 0.0569 memory: 13723 grad_norm: 4.5491 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6343 loss: 0.6343 2022/08/09 19:31:55 - mmengine - INFO - Epoch(train) [79][400/1879] lr: 2.0000e-03 eta: 6:52:33 time: 0.5760 data_time: 0.0228 memory: 13723 grad_norm: 4.5625 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6589 loss: 0.6589 2022/08/09 19:32:08 - mmengine - INFO - Epoch(train) [79][420/1879] lr: 2.0000e-03 eta: 6:52:21 time: 0.6502 data_time: 0.0217 memory: 13723 grad_norm: 4.5337 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7272 loss: 0.7272 2022/08/09 19:32:21 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 19:32:22 - mmengine - INFO - Epoch(train) [79][440/1879] lr: 2.0000e-03 eta: 6:52:10 time: 0.7236 data_time: 0.0208 memory: 13723 grad_norm: 4.7474 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8078 loss: 0.8078 2022/08/09 19:32:38 - mmengine - INFO - Epoch(train) [79][460/1879] lr: 2.0000e-03 eta: 6:51:59 time: 0.7789 data_time: 0.0169 memory: 13723 grad_norm: 4.4245 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6294 loss: 0.6294 2022/08/09 19:32:51 - mmengine - INFO - Epoch(train) [79][480/1879] lr: 2.0000e-03 eta: 6:51:47 time: 0.6733 data_time: 0.0194 memory: 13723 grad_norm: 4.5938 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6262 loss: 0.6262 2022/08/09 19:33:04 - mmengine - INFO - Epoch(train) [79][500/1879] lr: 2.0000e-03 eta: 6:51:35 time: 0.6477 data_time: 0.0246 memory: 13723 grad_norm: 4.6313 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7116 loss: 0.7116 2022/08/09 19:33:18 - mmengine - INFO - Epoch(train) [79][520/1879] lr: 2.0000e-03 eta: 6:51:24 time: 0.6718 data_time: 0.0203 memory: 13723 grad_norm: 4.6832 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7814 loss: 0.7814 2022/08/09 19:33:31 - mmengine - INFO - Epoch(train) [79][540/1879] lr: 2.0000e-03 eta: 6:51:12 time: 0.6380 data_time: 0.0195 memory: 13723 grad_norm: 4.5848 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6150 loss: 0.6150 2022/08/09 19:33:47 - mmengine - INFO - Epoch(train) [79][560/1879] lr: 2.0000e-03 eta: 6:51:01 time: 0.8141 data_time: 0.0175 memory: 13723 grad_norm: 4.5775 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6117 loss: 0.6117 2022/08/09 19:33:59 - mmengine - INFO - Epoch(train) [79][580/1879] lr: 2.0000e-03 eta: 6:50:49 time: 0.5916 data_time: 0.0332 memory: 13723 grad_norm: 4.7729 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5806 loss: 0.5806 2022/08/09 19:34:17 - mmengine - INFO - Epoch(train) [79][600/1879] lr: 2.0000e-03 eta: 6:50:38 time: 0.9040 data_time: 0.0194 memory: 13723 grad_norm: 4.6441 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6039 loss: 0.6039 2022/08/09 19:34:28 - mmengine - INFO - Epoch(train) [79][620/1879] lr: 2.0000e-03 eta: 6:50:26 time: 0.5793 data_time: 0.0338 memory: 13723 grad_norm: 4.7027 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8566 loss: 0.8566 2022/08/09 19:34:42 - mmengine - INFO - Epoch(train) [79][640/1879] lr: 2.0000e-03 eta: 6:50:14 time: 0.7029 data_time: 0.0650 memory: 13723 grad_norm: 4.6664 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6403 loss: 0.6403 2022/08/09 19:34:58 - mmengine - INFO - Epoch(train) [79][660/1879] lr: 2.0000e-03 eta: 6:50:03 time: 0.7646 data_time: 0.0205 memory: 13723 grad_norm: 4.6273 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6526 loss: 0.6526 2022/08/09 19:35:17 - mmengine - INFO - Epoch(train) [79][680/1879] lr: 2.0000e-03 eta: 6:49:53 time: 0.9692 data_time: 0.0224 memory: 13723 grad_norm: 4.6753 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6298 loss: 0.6298 2022/08/09 19:35:33 - mmengine - INFO - Epoch(train) [79][700/1879] lr: 2.0000e-03 eta: 6:49:42 time: 0.7692 data_time: 0.1701 memory: 13723 grad_norm: 4.5325 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6792 loss: 0.6792 2022/08/09 19:35:48 - mmengine - INFO - Epoch(train) [79][720/1879] lr: 2.0000e-03 eta: 6:49:31 time: 0.7715 data_time: 0.0236 memory: 13723 grad_norm: 4.8228 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8569 loss: 0.8569 2022/08/09 19:36:03 - mmengine - INFO - Epoch(train) [79][740/1879] lr: 2.0000e-03 eta: 6:49:19 time: 0.7291 data_time: 0.0318 memory: 13723 grad_norm: 4.5269 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7431 loss: 0.7431 2022/08/09 19:36:17 - mmengine - INFO - Epoch(train) [79][760/1879] lr: 2.0000e-03 eta: 6:49:08 time: 0.6964 data_time: 0.0198 memory: 13723 grad_norm: 4.5111 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6209 loss: 0.6209 2022/08/09 19:36:30 - mmengine - INFO - Epoch(train) [79][780/1879] lr: 2.0000e-03 eta: 6:48:56 time: 0.6790 data_time: 0.0179 memory: 13723 grad_norm: 4.7344 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7461 loss: 0.7461 2022/08/09 19:36:48 - mmengine - INFO - Epoch(train) [79][800/1879] lr: 2.0000e-03 eta: 6:48:46 time: 0.8947 data_time: 0.0182 memory: 13723 grad_norm: 4.6179 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7186 loss: 0.7186 2022/08/09 19:37:05 - mmengine - INFO - Epoch(train) [79][820/1879] lr: 2.0000e-03 eta: 6:48:35 time: 0.8365 data_time: 0.0833 memory: 13723 grad_norm: 4.7309 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7489 loss: 0.7489 2022/08/09 19:37:26 - mmengine - INFO - Epoch(train) [79][840/1879] lr: 2.0000e-03 eta: 6:48:25 time: 1.0498 data_time: 0.4321 memory: 13723 grad_norm: 4.7151 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7250 loss: 0.7250 2022/08/09 19:37:38 - mmengine - INFO - Epoch(train) [79][860/1879] lr: 2.0000e-03 eta: 6:48:13 time: 0.6092 data_time: 0.0308 memory: 13723 grad_norm: 4.6247 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7199 loss: 0.7199 2022/08/09 19:37:55 - mmengine - INFO - Epoch(train) [79][880/1879] lr: 2.0000e-03 eta: 6:48:02 time: 0.8491 data_time: 0.0210 memory: 13723 grad_norm: 4.7421 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5969 loss: 0.5969 2022/08/09 19:38:08 - mmengine - INFO - Epoch(train) [79][900/1879] lr: 2.0000e-03 eta: 6:47:50 time: 0.6377 data_time: 0.0857 memory: 13723 grad_norm: 4.7575 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7135 loss: 0.7135 2022/08/09 19:38:24 - mmengine - INFO - Epoch(train) [79][920/1879] lr: 2.0000e-03 eta: 6:47:39 time: 0.8263 data_time: 0.0185 memory: 13723 grad_norm: 4.7380 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5601 loss: 0.5601 2022/08/09 19:38:47 - mmengine - INFO - Epoch(train) [79][940/1879] lr: 2.0000e-03 eta: 6:47:30 time: 1.1233 data_time: 0.3367 memory: 13723 grad_norm: 4.5902 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6031 loss: 0.6031 2022/08/09 19:39:01 - mmengine - INFO - Epoch(train) [79][960/1879] lr: 2.0000e-03 eta: 6:47:19 time: 0.7227 data_time: 0.0957 memory: 13723 grad_norm: 4.8763 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7380 loss: 0.7380 2022/08/09 19:39:17 - mmengine - INFO - Epoch(train) [79][980/1879] lr: 2.0000e-03 eta: 6:47:07 time: 0.7664 data_time: 0.0793 memory: 13723 grad_norm: 4.5961 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6103 loss: 0.6103 2022/08/09 19:39:29 - mmengine - INFO - Epoch(train) [79][1000/1879] lr: 2.0000e-03 eta: 6:46:55 time: 0.6374 data_time: 0.0918 memory: 13723 grad_norm: 4.5998 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8166 loss: 0.8166 2022/08/09 19:39:47 - mmengine - INFO - Epoch(train) [79][1020/1879] lr: 2.0000e-03 eta: 6:46:45 time: 0.8679 data_time: 0.0871 memory: 13723 grad_norm: 4.6453 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7482 loss: 0.7482 2022/08/09 19:40:04 - mmengine - INFO - Epoch(train) [79][1040/1879] lr: 2.0000e-03 eta: 6:46:34 time: 0.8567 data_time: 0.3116 memory: 13723 grad_norm: 4.6739 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5564 loss: 0.5564 2022/08/09 19:40:23 - mmengine - INFO - Epoch(train) [79][1060/1879] lr: 2.0000e-03 eta: 6:46:24 time: 0.9400 data_time: 0.3938 memory: 13723 grad_norm: 4.7703 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6258 loss: 0.6258 2022/08/09 19:40:36 - mmengine - INFO - Epoch(train) [79][1080/1879] lr: 2.0000e-03 eta: 6:46:12 time: 0.6776 data_time: 0.1289 memory: 13723 grad_norm: 4.4872 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6586 loss: 0.6586 2022/08/09 19:40:57 - mmengine - INFO - Epoch(train) [79][1100/1879] lr: 2.0000e-03 eta: 6:46:02 time: 1.0104 data_time: 0.0161 memory: 13723 grad_norm: 4.6324 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6598 loss: 0.6598 2022/08/09 19:41:12 - mmengine - INFO - Epoch(train) [79][1120/1879] lr: 2.0000e-03 eta: 6:45:51 time: 0.7945 data_time: 0.0223 memory: 13723 grad_norm: 4.6432 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6775 loss: 0.6775 2022/08/09 19:41:28 - mmengine - INFO - Epoch(train) [79][1140/1879] lr: 2.0000e-03 eta: 6:45:40 time: 0.7691 data_time: 0.0184 memory: 13723 grad_norm: 4.5918 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6181 loss: 0.6181 2022/08/09 19:41:40 - mmengine - INFO - Epoch(train) [79][1160/1879] lr: 2.0000e-03 eta: 6:45:28 time: 0.6161 data_time: 0.0216 memory: 13723 grad_norm: 4.6882 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7096 loss: 0.7096 2022/08/09 19:42:01 - mmengine - INFO - Epoch(train) [79][1180/1879] lr: 2.0000e-03 eta: 6:45:18 time: 1.0392 data_time: 0.0177 memory: 13723 grad_norm: 4.7255 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7161 loss: 0.7161 2022/08/09 19:42:19 - mmengine - INFO - Epoch(train) [79][1200/1879] lr: 2.0000e-03 eta: 6:45:08 time: 0.9079 data_time: 0.0206 memory: 13723 grad_norm: 4.5846 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6654 loss: 0.6654 2022/08/09 19:42:31 - mmengine - INFO - Epoch(train) [79][1220/1879] lr: 2.0000e-03 eta: 6:44:55 time: 0.5929 data_time: 0.0241 memory: 13723 grad_norm: 4.6609 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7064 loss: 0.7064 2022/08/09 19:42:46 - mmengine - INFO - Epoch(train) [79][1240/1879] lr: 2.0000e-03 eta: 6:44:44 time: 0.7620 data_time: 0.0256 memory: 13723 grad_norm: 4.6012 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6314 loss: 0.6314 2022/08/09 19:43:03 - mmengine - INFO - Epoch(train) [79][1260/1879] lr: 2.0000e-03 eta: 6:44:33 time: 0.8538 data_time: 0.3032 memory: 13723 grad_norm: 4.6662 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6270 loss: 0.6270 2022/08/09 19:43:19 - mmengine - INFO - Epoch(train) [79][1280/1879] lr: 2.0000e-03 eta: 6:44:22 time: 0.7849 data_time: 0.2361 memory: 13723 grad_norm: 4.5928 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5866 loss: 0.5866 2022/08/09 19:43:33 - mmengine - INFO - Epoch(train) [79][1300/1879] lr: 2.0000e-03 eta: 6:44:11 time: 0.7109 data_time: 0.1667 memory: 13723 grad_norm: 4.8254 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7660 loss: 0.7660 2022/08/09 19:43:50 - mmengine - INFO - Epoch(train) [79][1320/1879] lr: 2.0000e-03 eta: 6:44:00 time: 0.8175 data_time: 0.2705 memory: 13723 grad_norm: 4.7115 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6870 loss: 0.6870 2022/08/09 19:44:04 - mmengine - INFO - Epoch(train) [79][1340/1879] lr: 2.0000e-03 eta: 6:43:48 time: 0.7197 data_time: 0.1822 memory: 13723 grad_norm: 4.7171 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7791 loss: 0.7791 2022/08/09 19:44:19 - mmengine - INFO - Epoch(train) [79][1360/1879] lr: 2.0000e-03 eta: 6:43:37 time: 0.7352 data_time: 0.1852 memory: 13723 grad_norm: 4.7257 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6364 loss: 0.6364 2022/08/09 19:44:35 - mmengine - INFO - Epoch(train) [79][1380/1879] lr: 2.0000e-03 eta: 6:43:26 time: 0.7859 data_time: 0.0216 memory: 13723 grad_norm: 4.7318 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6832 loss: 0.6832 2022/08/09 19:44:52 - mmengine - INFO - Epoch(train) [79][1400/1879] lr: 2.0000e-03 eta: 6:43:15 time: 0.8801 data_time: 0.0171 memory: 13723 grad_norm: 4.7036 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7046 loss: 0.7046 2022/08/09 19:45:12 - mmengine - INFO - Epoch(train) [79][1420/1879] lr: 2.0000e-03 eta: 6:43:05 time: 1.0038 data_time: 0.0192 memory: 13723 grad_norm: 4.5377 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6314 loss: 0.6314 2022/08/09 19:45:24 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 19:45:26 - mmengine - INFO - Epoch(train) [79][1440/1879] lr: 2.0000e-03 eta: 6:42:53 time: 0.6865 data_time: 0.0773 memory: 13723 grad_norm: 4.8342 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6579 loss: 0.6579 2022/08/09 19:45:40 - mmengine - INFO - Epoch(train) [79][1460/1879] lr: 2.0000e-03 eta: 6:42:42 time: 0.7143 data_time: 0.1620 memory: 13723 grad_norm: 4.5634 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6589 loss: 0.6589 2022/08/09 19:45:55 - mmengine - INFO - Epoch(train) [79][1480/1879] lr: 2.0000e-03 eta: 6:42:30 time: 0.7406 data_time: 0.1971 memory: 13723 grad_norm: 4.8054 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.6880 loss: 0.6880 2022/08/09 19:46:13 - mmengine - INFO - Epoch(train) [79][1500/1879] lr: 2.0000e-03 eta: 6:42:20 time: 0.8821 data_time: 0.3109 memory: 13723 grad_norm: 4.8734 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7552 loss: 0.7552 2022/08/09 19:46:26 - mmengine - INFO - Epoch(train) [79][1520/1879] lr: 2.0000e-03 eta: 6:42:08 time: 0.6851 data_time: 0.1509 memory: 13723 grad_norm: 4.9638 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7872 loss: 0.7872 2022/08/09 19:46:43 - mmengine - INFO - Epoch(train) [79][1540/1879] lr: 2.0000e-03 eta: 6:41:57 time: 0.8119 data_time: 0.0199 memory: 13723 grad_norm: 4.6649 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6436 loss: 0.6436 2022/08/09 19:46:58 - mmengine - INFO - Epoch(train) [79][1560/1879] lr: 2.0000e-03 eta: 6:41:46 time: 0.7374 data_time: 0.0156 memory: 13723 grad_norm: 4.7646 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6951 loss: 0.6951 2022/08/09 19:47:10 - mmengine - INFO - Epoch(train) [79][1580/1879] lr: 2.0000e-03 eta: 6:41:34 time: 0.6295 data_time: 0.0743 memory: 13723 grad_norm: 4.8202 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6880 loss: 0.6880 2022/08/09 19:47:29 - mmengine - INFO - Epoch(train) [79][1600/1879] lr: 2.0000e-03 eta: 6:41:23 time: 0.9256 data_time: 0.3610 memory: 13723 grad_norm: 4.7498 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7368 loss: 0.7368 2022/08/09 19:47:47 - mmengine - INFO - Epoch(train) [79][1620/1879] lr: 2.0000e-03 eta: 6:41:13 time: 0.8925 data_time: 0.3578 memory: 13723 grad_norm: 4.6758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6940 loss: 0.6940 2022/08/09 19:47:58 - mmengine - INFO - Epoch(train) [79][1640/1879] lr: 2.0000e-03 eta: 6:41:00 time: 0.5800 data_time: 0.0194 memory: 13723 grad_norm: 4.6788 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7027 loss: 0.7027 2022/08/09 19:48:13 - mmengine - INFO - Epoch(train) [79][1660/1879] lr: 2.0000e-03 eta: 6:40:49 time: 0.7251 data_time: 0.1435 memory: 13723 grad_norm: 4.7093 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7132 loss: 0.7132 2022/08/09 19:48:28 - mmengine - INFO - Epoch(train) [79][1680/1879] lr: 2.0000e-03 eta: 6:40:38 time: 0.7869 data_time: 0.0449 memory: 13723 grad_norm: 4.5793 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6928 loss: 0.6928 2022/08/09 19:48:42 - mmengine - INFO - Epoch(train) [79][1700/1879] lr: 2.0000e-03 eta: 6:40:26 time: 0.6862 data_time: 0.0184 memory: 13723 grad_norm: 4.7409 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7100 loss: 0.7100 2022/08/09 19:48:57 - mmengine - INFO - Epoch(train) [79][1720/1879] lr: 2.0000e-03 eta: 6:40:15 time: 0.7254 data_time: 0.0365 memory: 13723 grad_norm: 4.8493 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6405 loss: 0.6405 2022/08/09 19:49:10 - mmengine - INFO - Epoch(train) [79][1740/1879] lr: 2.0000e-03 eta: 6:40:03 time: 0.6888 data_time: 0.0163 memory: 13723 grad_norm: 4.7874 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7316 loss: 0.7316 2022/08/09 19:49:23 - mmengine - INFO - Epoch(train) [79][1760/1879] lr: 2.0000e-03 eta: 6:39:51 time: 0.6163 data_time: 0.0262 memory: 13723 grad_norm: 4.5490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7221 loss: 0.7221 2022/08/09 19:49:36 - mmengine - INFO - Epoch(train) [79][1780/1879] lr: 2.0000e-03 eta: 6:39:39 time: 0.6786 data_time: 0.0170 memory: 13723 grad_norm: 4.6985 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7381 loss: 0.7381 2022/08/09 19:49:51 - mmengine - INFO - Epoch(train) [79][1800/1879] lr: 2.0000e-03 eta: 6:39:28 time: 0.7142 data_time: 0.0200 memory: 13723 grad_norm: 4.7343 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6732 loss: 0.6732 2022/08/09 19:50:04 - mmengine - INFO - Epoch(train) [79][1820/1879] lr: 2.0000e-03 eta: 6:39:16 time: 0.6477 data_time: 0.0214 memory: 13723 grad_norm: 4.7932 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8062 loss: 0.8062 2022/08/09 19:50:20 - mmengine - INFO - Epoch(train) [79][1840/1879] lr: 2.0000e-03 eta: 6:39:05 time: 0.8398 data_time: 0.0380 memory: 13723 grad_norm: 4.7760 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7015 loss: 0.7015 2022/08/09 19:50:38 - mmengine - INFO - Epoch(train) [79][1860/1879] lr: 2.0000e-03 eta: 6:38:54 time: 0.8549 data_time: 0.0232 memory: 13723 grad_norm: 4.7592 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6967 loss: 0.6967 2022/08/09 19:50:49 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 19:50:49 - mmengine - INFO - Epoch(train) [79][1879/1879] lr: 2.0000e-03 eta: 6:38:54 time: 0.5749 data_time: 0.0154 memory: 13723 grad_norm: 4.7721 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7766 loss: 0.7766 2022/08/09 19:51:01 - mmengine - INFO - Epoch(val) [79][20/155] eta: 0:01:21 time: 0.6073 data_time: 0.4673 memory: 1829 2022/08/09 19:51:09 - mmengine - INFO - Epoch(val) [79][40/155] eta: 0:00:45 time: 0.3978 data_time: 0.2602 memory: 1829 2022/08/09 19:51:18 - mmengine - INFO - Epoch(val) [79][60/155] eta: 0:00:42 time: 0.4429 data_time: 0.3076 memory: 1829 2022/08/09 19:51:26 - mmengine - INFO - Epoch(val) [79][80/155] eta: 0:00:31 time: 0.4263 data_time: 0.2895 memory: 1829 2022/08/09 19:51:35 - mmengine - INFO - Epoch(val) [79][100/155] eta: 0:00:24 time: 0.4382 data_time: 0.3009 memory: 1829 2022/08/09 19:51:43 - mmengine - INFO - Epoch(val) [79][120/155] eta: 0:00:14 time: 0.4256 data_time: 0.2878 memory: 1829 2022/08/09 19:51:52 - mmengine - INFO - Epoch(val) [79][140/155] eta: 0:00:06 time: 0.4254 data_time: 0.2867 memory: 1829 2022/08/09 19:52:38 - mmengine - INFO - Epoch(val) [79][155/155] acc/top1: 0.7081 acc/top5: 0.8961 acc/mean1: 0.7080 2022/08/09 19:52:58 - mmengine - INFO - Epoch(train) [80][20/1879] lr: 2.0000e-03 eta: 6:38:30 time: 1.0238 data_time: 0.4552 memory: 13723 grad_norm: 4.5221 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6371 loss: 0.6371 2022/08/09 19:53:12 - mmengine - INFO - Epoch(train) [80][40/1879] lr: 2.0000e-03 eta: 6:38:18 time: 0.6674 data_time: 0.0708 memory: 13723 grad_norm: 4.7251 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8088 loss: 0.8088 2022/08/09 19:53:24 - mmengine - INFO - Epoch(train) [80][60/1879] lr: 2.0000e-03 eta: 6:38:06 time: 0.6223 data_time: 0.0236 memory: 13723 grad_norm: 4.6833 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5637 loss: 0.5637 2022/08/09 19:53:37 - mmengine - INFO - Epoch(train) [80][80/1879] lr: 2.0000e-03 eta: 6:37:54 time: 0.6579 data_time: 0.0231 memory: 13723 grad_norm: 4.7227 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4892 loss: 0.4892 2022/08/09 19:53:50 - mmengine - INFO - Epoch(train) [80][100/1879] lr: 2.0000e-03 eta: 6:37:42 time: 0.6390 data_time: 0.0251 memory: 13723 grad_norm: 4.6370 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6020 loss: 0.6020 2022/08/09 19:54:06 - mmengine - INFO - Epoch(train) [80][120/1879] lr: 2.0000e-03 eta: 6:37:31 time: 0.7848 data_time: 0.0185 memory: 13723 grad_norm: 4.6173 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7271 loss: 0.7271 2022/08/09 19:54:20 - mmengine - INFO - Epoch(train) [80][140/1879] lr: 2.0000e-03 eta: 6:37:19 time: 0.7256 data_time: 0.0224 memory: 13723 grad_norm: 4.5705 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6725 loss: 0.6725 2022/08/09 19:54:35 - mmengine - INFO - Epoch(train) [80][160/1879] lr: 2.0000e-03 eta: 6:37:08 time: 0.7510 data_time: 0.0179 memory: 13723 grad_norm: 4.5899 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5828 loss: 0.5828 2022/08/09 19:54:47 - mmengine - INFO - Epoch(train) [80][180/1879] lr: 2.0000e-03 eta: 6:36:56 time: 0.5775 data_time: 0.0226 memory: 13723 grad_norm: 4.5400 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6086 loss: 0.6086 2022/08/09 19:55:01 - mmengine - INFO - Epoch(train) [80][200/1879] lr: 2.0000e-03 eta: 6:36:44 time: 0.6814 data_time: 0.0180 memory: 13723 grad_norm: 4.6338 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5605 loss: 0.5605 2022/08/09 19:55:19 - mmengine - INFO - Epoch(train) [80][220/1879] lr: 2.0000e-03 eta: 6:36:33 time: 0.9392 data_time: 0.0219 memory: 13723 grad_norm: 4.7024 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6549 loss: 0.6549 2022/08/09 19:55:35 - mmengine - INFO - Epoch(train) [80][240/1879] lr: 2.0000e-03 eta: 6:36:22 time: 0.7597 data_time: 0.0186 memory: 13723 grad_norm: 4.7442 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6922 loss: 0.6922 2022/08/09 19:55:51 - mmengine - INFO - Epoch(train) [80][260/1879] lr: 2.0000e-03 eta: 6:36:11 time: 0.8231 data_time: 0.0260 memory: 13723 grad_norm: 4.6833 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6456 loss: 0.6456 2022/08/09 19:56:05 - mmengine - INFO - Epoch(train) [80][280/1879] lr: 2.0000e-03 eta: 6:35:59 time: 0.6844 data_time: 0.0209 memory: 13723 grad_norm: 4.6062 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6406 loss: 0.6406 2022/08/09 19:56:19 - mmengine - INFO - Epoch(train) [80][300/1879] lr: 2.0000e-03 eta: 6:35:48 time: 0.6899 data_time: 0.0922 memory: 13723 grad_norm: 4.6643 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6391 loss: 0.6391 2022/08/09 19:56:32 - mmengine - INFO - Epoch(train) [80][320/1879] lr: 2.0000e-03 eta: 6:35:36 time: 0.6550 data_time: 0.1071 memory: 13723 grad_norm: 4.4989 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6993 loss: 0.6993 2022/08/09 19:56:44 - mmengine - INFO - Epoch(train) [80][340/1879] lr: 2.0000e-03 eta: 6:35:24 time: 0.5868 data_time: 0.0379 memory: 13723 grad_norm: 4.6442 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7393 loss: 0.7393 2022/08/09 19:56:57 - mmengine - INFO - Epoch(train) [80][360/1879] lr: 2.0000e-03 eta: 6:35:12 time: 0.6942 data_time: 0.0580 memory: 13723 grad_norm: 4.7524 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7628 loss: 0.7628 2022/08/09 19:57:13 - mmengine - INFO - Epoch(train) [80][380/1879] lr: 2.0000e-03 eta: 6:35:01 time: 0.7919 data_time: 0.0208 memory: 13723 grad_norm: 4.6944 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6646 loss: 0.6646 2022/08/09 19:57:25 - mmengine - INFO - Epoch(train) [80][400/1879] lr: 2.0000e-03 eta: 6:34:48 time: 0.5647 data_time: 0.0162 memory: 13723 grad_norm: 4.6773 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7123 loss: 0.7123 2022/08/09 19:57:38 - mmengine - INFO - Epoch(train) [80][420/1879] lr: 2.0000e-03 eta: 6:34:37 time: 0.6854 data_time: 0.0220 memory: 13723 grad_norm: 4.6070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7118 loss: 0.7118 2022/08/09 19:57:51 - mmengine - INFO - Epoch(train) [80][440/1879] lr: 2.0000e-03 eta: 6:34:25 time: 0.6267 data_time: 0.0210 memory: 13723 grad_norm: 4.6042 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6016 loss: 0.6016 2022/08/09 19:58:05 - mmengine - INFO - Epoch(train) [80][460/1879] lr: 2.0000e-03 eta: 6:34:13 time: 0.6976 data_time: 0.1532 memory: 13723 grad_norm: 4.6322 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6302 loss: 0.6302 2022/08/09 19:58:18 - mmengine - INFO - Epoch(train) [80][480/1879] lr: 2.0000e-03 eta: 6:34:01 time: 0.6347 data_time: 0.0206 memory: 13723 grad_norm: 4.6464 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7930 loss: 0.7930 2022/08/09 19:58:36 - mmengine - INFO - Epoch(train) [80][500/1879] lr: 2.0000e-03 eta: 6:33:51 time: 0.9192 data_time: 0.0278 memory: 13723 grad_norm: 4.5572 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6611 loss: 0.6611 2022/08/09 19:58:47 - mmengine - INFO - Epoch(train) [80][520/1879] lr: 2.0000e-03 eta: 6:33:38 time: 0.5701 data_time: 0.0206 memory: 13723 grad_norm: 4.7402 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6952 loss: 0.6952 2022/08/09 19:59:02 - mmengine - INFO - Epoch(train) [80][540/1879] lr: 2.0000e-03 eta: 6:33:27 time: 0.7258 data_time: 0.1724 memory: 13723 grad_norm: 4.6700 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8070 loss: 0.8070 2022/08/09 19:59:14 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 19:59:15 - mmengine - INFO - Epoch(train) [80][560/1879] lr: 2.0000e-03 eta: 6:33:15 time: 0.6556 data_time: 0.0168 memory: 13723 grad_norm: 4.5841 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6104 loss: 0.6104 2022/08/09 19:59:29 - mmengine - INFO - Epoch(train) [80][580/1879] lr: 2.0000e-03 eta: 6:33:03 time: 0.6809 data_time: 0.0211 memory: 13723 grad_norm: 4.6528 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.6612 loss: 0.6612 2022/08/09 19:59:48 - mmengine - INFO - Epoch(train) [80][600/1879] lr: 2.0000e-03 eta: 6:32:53 time: 0.9525 data_time: 0.0162 memory: 13723 grad_norm: 4.7450 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6975 loss: 0.6975 2022/08/09 20:00:03 - mmengine - INFO - Epoch(train) [80][620/1879] lr: 2.0000e-03 eta: 6:32:41 time: 0.7412 data_time: 0.0214 memory: 13723 grad_norm: 4.5854 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6736 loss: 0.6736 2022/08/09 20:00:21 - mmengine - INFO - Epoch(train) [80][640/1879] lr: 2.0000e-03 eta: 6:32:31 time: 0.9206 data_time: 0.0226 memory: 13723 grad_norm: 4.6026 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5447 loss: 0.5447 2022/08/09 20:00:38 - mmengine - INFO - Epoch(train) [80][660/1879] lr: 2.0000e-03 eta: 6:32:20 time: 0.8487 data_time: 0.1414 memory: 13723 grad_norm: 4.5895 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6683 loss: 0.6683 2022/08/09 20:00:53 - mmengine - INFO - Epoch(train) [80][680/1879] lr: 2.0000e-03 eta: 6:32:09 time: 0.7359 data_time: 0.1939 memory: 13723 grad_norm: 4.6183 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5290 loss: 0.5290 2022/08/09 20:01:05 - mmengine - INFO - Epoch(train) [80][700/1879] lr: 2.0000e-03 eta: 6:31:57 time: 0.6275 data_time: 0.0208 memory: 13723 grad_norm: 4.7428 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7891 loss: 0.7891 2022/08/09 20:01:26 - mmengine - INFO - Epoch(train) [80][720/1879] lr: 2.0000e-03 eta: 6:31:47 time: 1.0129 data_time: 0.0165 memory: 13723 grad_norm: 4.6447 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5986 loss: 0.5986 2022/08/09 20:01:37 - mmengine - INFO - Epoch(train) [80][740/1879] lr: 2.0000e-03 eta: 6:31:34 time: 0.5756 data_time: 0.0231 memory: 13723 grad_norm: 4.7531 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6535 loss: 0.6535 2022/08/09 20:01:49 - mmengine - INFO - Epoch(train) [80][760/1879] lr: 2.0000e-03 eta: 6:31:22 time: 0.5999 data_time: 0.0483 memory: 13723 grad_norm: 4.6934 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7194 loss: 0.7194 2022/08/09 20:02:05 - mmengine - INFO - Epoch(train) [80][780/1879] lr: 2.0000e-03 eta: 6:31:11 time: 0.8029 data_time: 0.2605 memory: 13723 grad_norm: 4.7546 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7868 loss: 0.7868 2022/08/09 20:02:20 - mmengine - INFO - Epoch(train) [80][800/1879] lr: 2.0000e-03 eta: 6:31:00 time: 0.7486 data_time: 0.0183 memory: 13723 grad_norm: 4.5447 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6849 loss: 0.6849 2022/08/09 20:02:37 - mmengine - INFO - Epoch(train) [80][820/1879] lr: 2.0000e-03 eta: 6:30:49 time: 0.8363 data_time: 0.0208 memory: 13723 grad_norm: 4.7169 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5859 loss: 0.5859 2022/08/09 20:02:51 - mmengine - INFO - Epoch(train) [80][840/1879] lr: 2.0000e-03 eta: 6:30:37 time: 0.6914 data_time: 0.0206 memory: 13723 grad_norm: 4.6832 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5658 loss: 0.5658 2022/08/09 20:03:04 - mmengine - INFO - Epoch(train) [80][860/1879] lr: 2.0000e-03 eta: 6:30:25 time: 0.6712 data_time: 0.0203 memory: 13723 grad_norm: 4.7776 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6958 loss: 0.6958 2022/08/09 20:03:19 - mmengine - INFO - Epoch(train) [80][880/1879] lr: 2.0000e-03 eta: 6:30:14 time: 0.7513 data_time: 0.1701 memory: 13723 grad_norm: 4.7674 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7034 loss: 0.7034 2022/08/09 20:03:38 - mmengine - INFO - Epoch(train) [80][900/1879] lr: 2.0000e-03 eta: 6:30:03 time: 0.9482 data_time: 0.2550 memory: 13723 grad_norm: 4.6722 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7420 loss: 0.7420 2022/08/09 20:03:49 - mmengine - INFO - Epoch(train) [80][920/1879] lr: 2.0000e-03 eta: 6:29:51 time: 0.5620 data_time: 0.0142 memory: 13723 grad_norm: 4.8424 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6547 loss: 0.6547 2022/08/09 20:04:01 - mmengine - INFO - Epoch(train) [80][940/1879] lr: 2.0000e-03 eta: 6:29:39 time: 0.6021 data_time: 0.0234 memory: 13723 grad_norm: 4.6391 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7659 loss: 0.7659 2022/08/09 20:04:16 - mmengine - INFO - Epoch(train) [80][960/1879] lr: 2.0000e-03 eta: 6:29:27 time: 0.7334 data_time: 0.0178 memory: 13723 grad_norm: 4.8141 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7060 loss: 0.7060 2022/08/09 20:04:33 - mmengine - INFO - Epoch(train) [80][980/1879] lr: 2.0000e-03 eta: 6:29:16 time: 0.8381 data_time: 0.0237 memory: 13723 grad_norm: 4.7356 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5937 loss: 0.5937 2022/08/09 20:04:44 - mmengine - INFO - Epoch(train) [80][1000/1879] lr: 2.0000e-03 eta: 6:29:04 time: 0.5707 data_time: 0.0192 memory: 13723 grad_norm: 4.8085 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6993 loss: 0.6993 2022/08/09 20:04:58 - mmengine - INFO - Epoch(train) [80][1020/1879] lr: 2.0000e-03 eta: 6:28:52 time: 0.6559 data_time: 0.1123 memory: 13723 grad_norm: 4.7110 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7907 loss: 0.7907 2022/08/09 20:05:14 - mmengine - INFO - Epoch(train) [80][1040/1879] lr: 2.0000e-03 eta: 6:28:41 time: 0.8152 data_time: 0.1479 memory: 13723 grad_norm: 4.5629 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7356 loss: 0.7356 2022/08/09 20:05:29 - mmengine - INFO - Epoch(train) [80][1060/1879] lr: 2.0000e-03 eta: 6:28:30 time: 0.7593 data_time: 0.0201 memory: 13723 grad_norm: 4.8086 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9044 loss: 0.9044 2022/08/09 20:05:46 - mmengine - INFO - Epoch(train) [80][1080/1879] lr: 2.0000e-03 eta: 6:28:19 time: 0.8311 data_time: 0.2953 memory: 13723 grad_norm: 4.9163 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8380 loss: 0.8380 2022/08/09 20:05:59 - mmengine - INFO - Epoch(train) [80][1100/1879] lr: 2.0000e-03 eta: 6:28:07 time: 0.6733 data_time: 0.1274 memory: 13723 grad_norm: 4.7054 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7531 loss: 0.7531 2022/08/09 20:06:16 - mmengine - INFO - Epoch(train) [80][1120/1879] lr: 2.0000e-03 eta: 6:27:56 time: 0.8326 data_time: 0.0192 memory: 13723 grad_norm: 4.7994 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6870 loss: 0.6870 2022/08/09 20:06:30 - mmengine - INFO - Epoch(train) [80][1140/1879] lr: 2.0000e-03 eta: 6:27:44 time: 0.6838 data_time: 0.0876 memory: 13723 grad_norm: 4.9067 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6892 loss: 0.6892 2022/08/09 20:06:44 - mmengine - INFO - Epoch(train) [80][1160/1879] lr: 2.0000e-03 eta: 6:27:33 time: 0.7462 data_time: 0.0408 memory: 13723 grad_norm: 4.7050 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7434 loss: 0.7434 2022/08/09 20:07:01 - mmengine - INFO - Epoch(train) [80][1180/1879] lr: 2.0000e-03 eta: 6:27:22 time: 0.8289 data_time: 0.0204 memory: 13723 grad_norm: 4.7178 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6867 loss: 0.6867 2022/08/09 20:07:15 - mmengine - INFO - Epoch(train) [80][1200/1879] lr: 2.0000e-03 eta: 6:27:10 time: 0.6835 data_time: 0.0187 memory: 13723 grad_norm: 4.7094 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6746 loss: 0.6746 2022/08/09 20:07:34 - mmengine - INFO - Epoch(train) [80][1220/1879] lr: 2.0000e-03 eta: 6:27:00 time: 0.9563 data_time: 0.0226 memory: 13723 grad_norm: 4.6879 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7884 loss: 0.7884 2022/08/09 20:07:53 - mmengine - INFO - Epoch(train) [80][1240/1879] lr: 2.0000e-03 eta: 6:26:49 time: 0.9335 data_time: 0.0189 memory: 13723 grad_norm: 4.8619 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6896 loss: 0.6896 2022/08/09 20:08:10 - mmengine - INFO - Epoch(train) [80][1260/1879] lr: 2.0000e-03 eta: 6:26:38 time: 0.8591 data_time: 0.0159 memory: 13723 grad_norm: 4.5439 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6037 loss: 0.6037 2022/08/09 20:08:23 - mmengine - INFO - Epoch(train) [80][1280/1879] lr: 2.0000e-03 eta: 6:26:26 time: 0.6419 data_time: 0.0206 memory: 13723 grad_norm: 4.5067 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6350 loss: 0.6350 2022/08/09 20:08:35 - mmengine - INFO - Epoch(train) [80][1300/1879] lr: 2.0000e-03 eta: 6:26:14 time: 0.6131 data_time: 0.0229 memory: 13723 grad_norm: 4.7661 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6249 loss: 0.6249 2022/08/09 20:08:50 - mmengine - INFO - Epoch(train) [80][1320/1879] lr: 2.0000e-03 eta: 6:26:03 time: 0.7768 data_time: 0.0174 memory: 13723 grad_norm: 4.8874 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6533 loss: 0.6533 2022/08/09 20:09:05 - mmengine - INFO - Epoch(train) [80][1340/1879] lr: 2.0000e-03 eta: 6:25:51 time: 0.7162 data_time: 0.0225 memory: 13723 grad_norm: 4.6618 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6741 loss: 0.6741 2022/08/09 20:09:17 - mmengine - INFO - Epoch(train) [80][1360/1879] lr: 2.0000e-03 eta: 6:25:39 time: 0.5873 data_time: 0.0223 memory: 13723 grad_norm: 4.7849 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7014 loss: 0.7014 2022/08/09 20:09:30 - mmengine - INFO - Epoch(train) [80][1380/1879] lr: 2.0000e-03 eta: 6:25:27 time: 0.6517 data_time: 0.0399 memory: 13723 grad_norm: 4.7838 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7096 loss: 0.7096 2022/08/09 20:09:47 - mmengine - INFO - Epoch(train) [80][1400/1879] lr: 2.0000e-03 eta: 6:25:16 time: 0.8679 data_time: 0.0162 memory: 13723 grad_norm: 4.6829 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7090 loss: 0.7090 2022/08/09 20:10:03 - mmengine - INFO - Epoch(train) [80][1420/1879] lr: 2.0000e-03 eta: 6:25:05 time: 0.7895 data_time: 0.0603 memory: 13723 grad_norm: 4.8112 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7614 loss: 0.7614 2022/08/09 20:10:16 - mmengine - INFO - Epoch(train) [80][1440/1879] lr: 2.0000e-03 eta: 6:24:53 time: 0.6588 data_time: 0.1092 memory: 13723 grad_norm: 4.6999 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6899 loss: 0.6899 2022/08/09 20:10:34 - mmengine - INFO - Epoch(train) [80][1460/1879] lr: 2.0000e-03 eta: 6:24:43 time: 0.9067 data_time: 0.0211 memory: 13723 grad_norm: 4.7411 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6136 loss: 0.6136 2022/08/09 20:10:46 - mmengine - INFO - Epoch(train) [80][1480/1879] lr: 2.0000e-03 eta: 6:24:30 time: 0.5963 data_time: 0.0187 memory: 13723 grad_norm: 4.6082 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7574 loss: 0.7574 2022/08/09 20:11:02 - mmengine - INFO - Epoch(train) [80][1500/1879] lr: 2.0000e-03 eta: 6:24:19 time: 0.7751 data_time: 0.0223 memory: 13723 grad_norm: 4.8937 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8582 loss: 0.8582 2022/08/09 20:11:16 - mmengine - INFO - Epoch(train) [80][1520/1879] lr: 2.0000e-03 eta: 6:24:08 time: 0.7293 data_time: 0.0175 memory: 13723 grad_norm: 4.7577 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6432 loss: 0.6432 2022/08/09 20:11:31 - mmengine - INFO - Epoch(train) [80][1540/1879] lr: 2.0000e-03 eta: 6:23:56 time: 0.7390 data_time: 0.0283 memory: 13723 grad_norm: 4.5920 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6011 loss: 0.6011 2022/08/09 20:11:48 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 20:11:49 - mmengine - INFO - Epoch(train) [80][1560/1879] lr: 2.0000e-03 eta: 6:23:45 time: 0.8858 data_time: 0.0205 memory: 13723 grad_norm: 4.8266 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6747 loss: 0.6747 2022/08/09 20:12:03 - mmengine - INFO - Epoch(train) [80][1580/1879] lr: 2.0000e-03 eta: 6:23:34 time: 0.7286 data_time: 0.0203 memory: 13723 grad_norm: 4.8975 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7320 loss: 0.7320 2022/08/09 20:12:16 - mmengine - INFO - Epoch(train) [80][1600/1879] lr: 2.0000e-03 eta: 6:23:22 time: 0.6236 data_time: 0.0636 memory: 13723 grad_norm: 4.6537 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7860 loss: 0.7860 2022/08/09 20:12:31 - mmengine - INFO - Epoch(train) [80][1620/1879] lr: 2.0000e-03 eta: 6:23:10 time: 0.7445 data_time: 0.0205 memory: 13723 grad_norm: 4.7572 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5927 loss: 0.5927 2022/08/09 20:12:45 - mmengine - INFO - Epoch(train) [80][1640/1879] lr: 2.0000e-03 eta: 6:22:59 time: 0.6929 data_time: 0.0197 memory: 13723 grad_norm: 4.5515 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6570 loss: 0.6570 2022/08/09 20:12:58 - mmengine - INFO - Epoch(train) [80][1660/1879] lr: 2.0000e-03 eta: 6:22:47 time: 0.6475 data_time: 0.0209 memory: 13723 grad_norm: 4.8826 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7272 loss: 0.7272 2022/08/09 20:13:12 - mmengine - INFO - Epoch(train) [80][1680/1879] lr: 2.0000e-03 eta: 6:22:35 time: 0.7469 data_time: 0.0184 memory: 13723 grad_norm: 4.4728 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7126 loss: 0.7126 2022/08/09 20:13:25 - mmengine - INFO - Epoch(train) [80][1700/1879] lr: 2.0000e-03 eta: 6:22:23 time: 0.6255 data_time: 0.0275 memory: 13723 grad_norm: 4.6659 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6725 loss: 0.6725 2022/08/09 20:13:40 - mmengine - INFO - Epoch(train) [80][1720/1879] lr: 2.0000e-03 eta: 6:22:12 time: 0.7449 data_time: 0.0186 memory: 13723 grad_norm: 4.8525 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6925 loss: 0.6925 2022/08/09 20:13:56 - mmengine - INFO - Epoch(train) [80][1740/1879] lr: 2.0000e-03 eta: 6:22:00 time: 0.7973 data_time: 0.2051 memory: 13723 grad_norm: 4.6230 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7243 loss: 0.7243 2022/08/09 20:14:09 - mmengine - INFO - Epoch(train) [80][1760/1879] lr: 2.0000e-03 eta: 6:21:48 time: 0.6336 data_time: 0.0160 memory: 13723 grad_norm: 4.5600 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6155 loss: 0.6155 2022/08/09 20:14:23 - mmengine - INFO - Epoch(train) [80][1780/1879] lr: 2.0000e-03 eta: 6:21:37 time: 0.7028 data_time: 0.0393 memory: 13723 grad_norm: 4.8139 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8192 loss: 0.8192 2022/08/09 20:14:39 - mmengine - INFO - Epoch(train) [80][1800/1879] lr: 2.0000e-03 eta: 6:21:25 time: 0.7969 data_time: 0.0582 memory: 13723 grad_norm: 4.6668 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7019 loss: 0.7019 2022/08/09 20:14:54 - mmengine - INFO - Epoch(train) [80][1820/1879] lr: 2.0000e-03 eta: 6:21:14 time: 0.7713 data_time: 0.1729 memory: 13723 grad_norm: 4.8229 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6098 loss: 0.6098 2022/08/09 20:15:08 - mmengine - INFO - Epoch(train) [80][1840/1879] lr: 2.0000e-03 eta: 6:21:03 time: 0.7129 data_time: 0.1613 memory: 13723 grad_norm: 4.5836 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6953 loss: 0.6953 2022/08/09 20:15:32 - mmengine - INFO - Epoch(train) [80][1860/1879] lr: 2.0000e-03 eta: 6:20:53 time: 1.1849 data_time: 0.6320 memory: 13723 grad_norm: 4.8541 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7762 loss: 0.7762 2022/08/09 20:15:42 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 20:15:42 - mmengine - INFO - Epoch(train) [80][1879/1879] lr: 2.0000e-03 eta: 6:20:53 time: 0.6495 data_time: 0.1344 memory: 13723 grad_norm: 4.8223 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.7104 loss: 0.7104 2022/08/09 20:15:57 - mmengine - INFO - Epoch(val) [80][20/155] eta: 0:01:42 time: 0.7568 data_time: 0.6177 memory: 1829 2022/08/09 20:16:05 - mmengine - INFO - Epoch(val) [80][40/155] eta: 0:00:45 time: 0.3918 data_time: 0.2549 memory: 1829 2022/08/09 20:16:16 - mmengine - INFO - Epoch(val) [80][60/155] eta: 0:00:48 time: 0.5151 data_time: 0.3792 memory: 1829 2022/08/09 20:16:22 - mmengine - INFO - Epoch(val) [80][80/155] eta: 0:00:25 time: 0.3456 data_time: 0.2103 memory: 1829 2022/08/09 20:16:32 - mmengine - INFO - Epoch(val) [80][100/155] eta: 0:00:25 time: 0.4612 data_time: 0.3246 memory: 1829 2022/08/09 20:16:40 - mmengine - INFO - Epoch(val) [80][120/155] eta: 0:00:14 time: 0.4042 data_time: 0.2668 memory: 1829 2022/08/09 20:16:51 - mmengine - INFO - Epoch(val) [80][140/155] eta: 0:00:08 time: 0.5498 data_time: 0.4146 memory: 1829 2022/08/09 20:17:40 - mmengine - INFO - Epoch(val) [80][155/155] acc/top1: 0.7105 acc/top5: 0.8945 acc/mean1: 0.7104 2022/08/09 20:18:03 - mmengine - INFO - Epoch(train) [81][20/1879] lr: 2.0000e-03 eta: 6:20:29 time: 1.1365 data_time: 0.2832 memory: 13723 grad_norm: 4.6289 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6680 loss: 0.6680 2022/08/09 20:18:19 - mmengine - INFO - Epoch(train) [81][40/1879] lr: 2.0000e-03 eta: 6:20:18 time: 0.8206 data_time: 0.2798 memory: 13723 grad_norm: 4.5432 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6794 loss: 0.6794 2022/08/09 20:18:36 - mmengine - INFO - Epoch(train) [81][60/1879] lr: 2.0000e-03 eta: 6:20:07 time: 0.8193 data_time: 0.2785 memory: 13723 grad_norm: 4.6332 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6375 loss: 0.6375 2022/08/09 20:18:49 - mmengine - INFO - Epoch(train) [81][80/1879] lr: 2.0000e-03 eta: 6:19:55 time: 0.6945 data_time: 0.0763 memory: 13723 grad_norm: 4.6306 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7615 loss: 0.7615 2022/08/09 20:19:03 - mmengine - INFO - Epoch(train) [81][100/1879] lr: 2.0000e-03 eta: 6:19:44 time: 0.6731 data_time: 0.0226 memory: 13723 grad_norm: 4.5215 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6446 loss: 0.6446 2022/08/09 20:19:25 - mmengine - INFO - Epoch(train) [81][120/1879] lr: 2.0000e-03 eta: 6:19:34 time: 1.0872 data_time: 0.0906 memory: 13723 grad_norm: 4.6486 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6020 loss: 0.6020 2022/08/09 20:19:39 - mmengine - INFO - Epoch(train) [81][140/1879] lr: 2.0000e-03 eta: 6:19:22 time: 0.7225 data_time: 0.0206 memory: 13723 grad_norm: 4.5015 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5407 loss: 0.5407 2022/08/09 20:19:56 - mmengine - INFO - Epoch(train) [81][160/1879] lr: 2.0000e-03 eta: 6:19:11 time: 0.8559 data_time: 0.0186 memory: 13723 grad_norm: 4.6931 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6290 loss: 0.6290 2022/08/09 20:20:09 - mmengine - INFO - Epoch(train) [81][180/1879] lr: 2.0000e-03 eta: 6:18:59 time: 0.6202 data_time: 0.0214 memory: 13723 grad_norm: 4.6629 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6072 loss: 0.6072 2022/08/09 20:20:26 - mmengine - INFO - Epoch(train) [81][200/1879] lr: 2.0000e-03 eta: 6:18:48 time: 0.8904 data_time: 0.1291 memory: 13723 grad_norm: 4.5890 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7096 loss: 0.7096 2022/08/09 20:20:44 - mmengine - INFO - Epoch(train) [81][220/1879] lr: 2.0000e-03 eta: 6:18:38 time: 0.8663 data_time: 0.2034 memory: 13723 grad_norm: 4.7715 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8316 loss: 0.8316 2022/08/09 20:20:57 - mmengine - INFO - Epoch(train) [81][240/1879] lr: 2.0000e-03 eta: 6:18:26 time: 0.6454 data_time: 0.1057 memory: 13723 grad_norm: 4.6385 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7022 loss: 0.7022 2022/08/09 20:21:11 - mmengine - INFO - Epoch(train) [81][260/1879] lr: 2.0000e-03 eta: 6:18:14 time: 0.7215 data_time: 0.0197 memory: 13723 grad_norm: 4.4712 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5539 loss: 0.5539 2022/08/09 20:21:25 - mmengine - INFO - Epoch(train) [81][280/1879] lr: 2.0000e-03 eta: 6:18:02 time: 0.7001 data_time: 0.0183 memory: 13723 grad_norm: 4.6046 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6586 loss: 0.6586 2022/08/09 20:21:41 - mmengine - INFO - Epoch(train) [81][300/1879] lr: 2.0000e-03 eta: 6:17:51 time: 0.7846 data_time: 0.0811 memory: 13723 grad_norm: 4.8396 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7782 loss: 0.7782 2022/08/09 20:22:00 - mmengine - INFO - Epoch(train) [81][320/1879] lr: 2.0000e-03 eta: 6:17:40 time: 0.9316 data_time: 0.2462 memory: 13723 grad_norm: 4.6905 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6914 loss: 0.6914 2022/08/09 20:22:14 - mmengine - INFO - Epoch(train) [81][340/1879] lr: 2.0000e-03 eta: 6:17:29 time: 0.7095 data_time: 0.0399 memory: 13723 grad_norm: 4.7348 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6740 loss: 0.6740 2022/08/09 20:22:30 - mmengine - INFO - Epoch(train) [81][360/1879] lr: 2.0000e-03 eta: 6:17:17 time: 0.7952 data_time: 0.0233 memory: 13723 grad_norm: 4.7362 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6294 loss: 0.6294 2022/08/09 20:22:42 - mmengine - INFO - Epoch(train) [81][380/1879] lr: 2.0000e-03 eta: 6:17:05 time: 0.6124 data_time: 0.0219 memory: 13723 grad_norm: 4.7531 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7141 loss: 0.7141 2022/08/09 20:23:01 - mmengine - INFO - Epoch(train) [81][400/1879] lr: 2.0000e-03 eta: 6:16:55 time: 0.9273 data_time: 0.0704 memory: 13723 grad_norm: 4.6602 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6268 loss: 0.6268 2022/08/09 20:23:15 - mmengine - INFO - Epoch(train) [81][420/1879] lr: 2.0000e-03 eta: 6:16:43 time: 0.7293 data_time: 0.0203 memory: 13723 grad_norm: 4.8319 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7026 loss: 0.7026 2022/08/09 20:23:37 - mmengine - INFO - Epoch(train) [81][440/1879] lr: 2.0000e-03 eta: 6:16:33 time: 1.0754 data_time: 0.0202 memory: 13723 grad_norm: 4.6234 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5867 loss: 0.5867 2022/08/09 20:23:56 - mmengine - INFO - Epoch(train) [81][460/1879] lr: 2.0000e-03 eta: 6:16:23 time: 0.9504 data_time: 0.0176 memory: 13723 grad_norm: 4.6143 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6707 loss: 0.6707 2022/08/09 20:24:10 - mmengine - INFO - Epoch(train) [81][480/1879] lr: 2.0000e-03 eta: 6:16:11 time: 0.7098 data_time: 0.0220 memory: 13723 grad_norm: 4.6846 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6047 loss: 0.6047 2022/08/09 20:24:25 - mmengine - INFO - Epoch(train) [81][500/1879] lr: 2.0000e-03 eta: 6:16:00 time: 0.7672 data_time: 0.0220 memory: 13723 grad_norm: 4.7274 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8611 loss: 0.8611 2022/08/09 20:24:48 - mmengine - INFO - Epoch(train) [81][520/1879] lr: 2.0000e-03 eta: 6:15:50 time: 1.1312 data_time: 0.0175 memory: 13723 grad_norm: 4.6530 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6894 loss: 0.6894 2022/08/09 20:25:04 - mmengine - INFO - Epoch(train) [81][540/1879] lr: 2.0000e-03 eta: 6:15:39 time: 0.8203 data_time: 0.0184 memory: 13723 grad_norm: 4.7080 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6778 loss: 0.6778 2022/08/09 20:25:20 - mmengine - INFO - Epoch(train) [81][560/1879] lr: 2.0000e-03 eta: 6:15:28 time: 0.7851 data_time: 0.2350 memory: 13723 grad_norm: 4.6295 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6508 loss: 0.6508 2022/08/09 20:25:37 - mmengine - INFO - Epoch(train) [81][580/1879] lr: 2.0000e-03 eta: 6:15:17 time: 0.8540 data_time: 0.0198 memory: 13723 grad_norm: 4.5443 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.5574 loss: 0.5574 2022/08/09 20:25:58 - mmengine - INFO - Epoch(train) [81][600/1879] lr: 2.0000e-03 eta: 6:15:07 time: 1.0575 data_time: 0.0185 memory: 13723 grad_norm: 4.6835 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6406 loss: 0.6406 2022/08/09 20:26:16 - mmengine - INFO - Epoch(train) [81][620/1879] lr: 2.0000e-03 eta: 6:14:56 time: 0.9049 data_time: 0.0245 memory: 13723 grad_norm: 4.5997 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4953 loss: 0.4953 2022/08/09 20:26:31 - mmengine - INFO - Epoch(train) [81][640/1879] lr: 2.0000e-03 eta: 6:14:45 time: 0.7370 data_time: 0.0176 memory: 13723 grad_norm: 4.5770 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5699 loss: 0.5699 2022/08/09 20:26:49 - mmengine - INFO - Epoch(train) [81][660/1879] lr: 2.0000e-03 eta: 6:14:34 time: 0.9092 data_time: 0.0200 memory: 13723 grad_norm: 4.7265 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6215 loss: 0.6215 2022/08/09 20:27:09 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 20:27:09 - mmengine - INFO - Epoch(train) [81][680/1879] lr: 2.0000e-03 eta: 6:14:23 time: 0.9813 data_time: 0.0158 memory: 13723 grad_norm: 4.8373 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6582 loss: 0.6582 2022/08/09 20:27:23 - mmengine - INFO - Epoch(train) [81][700/1879] lr: 2.0000e-03 eta: 6:14:12 time: 0.6813 data_time: 0.0224 memory: 13723 grad_norm: 4.7639 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6252 loss: 0.6252 2022/08/09 20:27:40 - mmengine - INFO - Epoch(train) [81][720/1879] lr: 2.0000e-03 eta: 6:14:01 time: 0.8775 data_time: 0.0187 memory: 13723 grad_norm: 4.8559 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7278 loss: 0.7278 2022/08/09 20:28:00 - mmengine - INFO - Epoch(train) [81][740/1879] lr: 2.0000e-03 eta: 6:13:51 time: 1.0096 data_time: 0.3408 memory: 13723 grad_norm: 4.8574 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5816 loss: 0.5816 2022/08/09 20:28:15 - mmengine - INFO - Epoch(train) [81][760/1879] lr: 2.0000e-03 eta: 6:13:39 time: 0.7271 data_time: 0.0164 memory: 13723 grad_norm: 4.7248 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6522 loss: 0.6522 2022/08/09 20:28:31 - mmengine - INFO - Epoch(train) [81][780/1879] lr: 2.0000e-03 eta: 6:13:28 time: 0.8135 data_time: 0.2696 memory: 13723 grad_norm: 4.6681 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7187 loss: 0.7187 2022/08/09 20:28:50 - mmengine - INFO - Epoch(train) [81][800/1879] lr: 2.0000e-03 eta: 6:13:17 time: 0.9225 data_time: 0.3673 memory: 13723 grad_norm: 4.7084 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7132 loss: 0.7132 2022/08/09 20:29:04 - mmengine - INFO - Epoch(train) [81][820/1879] lr: 2.0000e-03 eta: 6:13:05 time: 0.6928 data_time: 0.1386 memory: 13723 grad_norm: 4.7782 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8250 loss: 0.8250 2022/08/09 20:29:17 - mmengine - INFO - Epoch(train) [81][840/1879] lr: 2.0000e-03 eta: 6:12:54 time: 0.6824 data_time: 0.0878 memory: 13723 grad_norm: 4.6475 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7514 loss: 0.7514 2022/08/09 20:29:36 - mmengine - INFO - Epoch(train) [81][860/1879] lr: 2.0000e-03 eta: 6:12:43 time: 0.9507 data_time: 0.3032 memory: 13723 grad_norm: 4.7384 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8046 loss: 0.8046 2022/08/09 20:29:51 - mmengine - INFO - Epoch(train) [81][880/1879] lr: 2.0000e-03 eta: 6:12:31 time: 0.7112 data_time: 0.0206 memory: 13723 grad_norm: 4.7523 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6726 loss: 0.6726 2022/08/09 20:30:08 - mmengine - INFO - Epoch(train) [81][900/1879] lr: 2.0000e-03 eta: 6:12:20 time: 0.8652 data_time: 0.0171 memory: 13723 grad_norm: 4.7086 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6769 loss: 0.6769 2022/08/09 20:30:22 - mmengine - INFO - Epoch(train) [81][920/1879] lr: 2.0000e-03 eta: 6:12:09 time: 0.6868 data_time: 0.0227 memory: 13723 grad_norm: 4.6460 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6214 loss: 0.6214 2022/08/09 20:30:38 - mmengine - INFO - Epoch(train) [81][940/1879] lr: 2.0000e-03 eta: 6:11:57 time: 0.8140 data_time: 0.1332 memory: 13723 grad_norm: 4.7976 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7311 loss: 0.7311 2022/08/09 20:30:52 - mmengine - INFO - Epoch(train) [81][960/1879] lr: 2.0000e-03 eta: 6:11:46 time: 0.7249 data_time: 0.1689 memory: 13723 grad_norm: 4.6232 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6386 loss: 0.6386 2022/08/09 20:31:08 - mmengine - INFO - Epoch(train) [81][980/1879] lr: 2.0000e-03 eta: 6:11:34 time: 0.7774 data_time: 0.2269 memory: 13723 grad_norm: 4.6859 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6670 loss: 0.6670 2022/08/09 20:31:24 - mmengine - INFO - Epoch(train) [81][1000/1879] lr: 2.0000e-03 eta: 6:11:23 time: 0.7789 data_time: 0.0882 memory: 13723 grad_norm: 4.6800 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7223 loss: 0.7223 2022/08/09 20:31:39 - mmengine - INFO - Epoch(train) [81][1020/1879] lr: 2.0000e-03 eta: 6:11:12 time: 0.7902 data_time: 0.0175 memory: 13723 grad_norm: 4.8377 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6530 loss: 0.6530 2022/08/09 20:31:54 - mmengine - INFO - Epoch(train) [81][1040/1879] lr: 2.0000e-03 eta: 6:11:00 time: 0.7143 data_time: 0.0404 memory: 13723 grad_norm: 4.7783 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7184 loss: 0.7184 2022/08/09 20:32:13 - mmengine - INFO - Epoch(train) [81][1060/1879] lr: 2.0000e-03 eta: 6:10:50 time: 0.9878 data_time: 0.0195 memory: 13723 grad_norm: 4.8353 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6999 loss: 0.6999 2022/08/09 20:32:28 - mmengine - INFO - Epoch(train) [81][1080/1879] lr: 2.0000e-03 eta: 6:10:38 time: 0.7181 data_time: 0.0198 memory: 13723 grad_norm: 4.7388 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6961 loss: 0.6961 2022/08/09 20:32:42 - mmengine - INFO - Epoch(train) [81][1100/1879] lr: 2.0000e-03 eta: 6:10:26 time: 0.6861 data_time: 0.0352 memory: 13723 grad_norm: 4.7762 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7774 loss: 0.7774 2022/08/09 20:32:56 - mmengine - INFO - Epoch(train) [81][1120/1879] lr: 2.0000e-03 eta: 6:10:15 time: 0.7393 data_time: 0.1858 memory: 13723 grad_norm: 4.6264 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6646 loss: 0.6646 2022/08/09 20:33:10 - mmengine - INFO - Epoch(train) [81][1140/1879] lr: 2.0000e-03 eta: 6:10:03 time: 0.6708 data_time: 0.1257 memory: 13723 grad_norm: 4.8072 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6566 loss: 0.6566 2022/08/09 20:33:23 - mmengine - INFO - Epoch(train) [81][1160/1879] lr: 2.0000e-03 eta: 6:09:51 time: 0.6757 data_time: 0.0215 memory: 13723 grad_norm: 4.7981 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6289 loss: 0.6289 2022/08/09 20:33:36 - mmengine - INFO - Epoch(train) [81][1180/1879] lr: 2.0000e-03 eta: 6:09:39 time: 0.6275 data_time: 0.0208 memory: 13723 grad_norm: 4.7345 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6205 loss: 0.6205 2022/08/09 20:33:54 - mmengine - INFO - Epoch(train) [81][1200/1879] lr: 2.0000e-03 eta: 6:09:28 time: 0.9124 data_time: 0.0189 memory: 13723 grad_norm: 4.6637 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6698 loss: 0.6698 2022/08/09 20:34:06 - mmengine - INFO - Epoch(train) [81][1220/1879] lr: 2.0000e-03 eta: 6:09:16 time: 0.5816 data_time: 0.0198 memory: 13723 grad_norm: 4.7520 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7727 loss: 0.7727 2022/08/09 20:34:21 - mmengine - INFO - Epoch(train) [81][1240/1879] lr: 2.0000e-03 eta: 6:09:04 time: 0.7510 data_time: 0.0204 memory: 13723 grad_norm: 4.6859 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6584 loss: 0.6584 2022/08/09 20:34:33 - mmengine - INFO - Epoch(train) [81][1260/1879] lr: 2.0000e-03 eta: 6:08:52 time: 0.5981 data_time: 0.0262 memory: 13723 grad_norm: 4.5855 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6253 loss: 0.6253 2022/08/09 20:34:47 - mmengine - INFO - Epoch(train) [81][1280/1879] lr: 2.0000e-03 eta: 6:08:40 time: 0.6937 data_time: 0.0177 memory: 13723 grad_norm: 4.8439 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6596 loss: 0.6596 2022/08/09 20:34:59 - mmengine - INFO - Epoch(train) [81][1300/1879] lr: 2.0000e-03 eta: 6:08:28 time: 0.6384 data_time: 0.0215 memory: 13723 grad_norm: 4.7564 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6420 loss: 0.6420 2022/08/09 20:35:13 - mmengine - INFO - Epoch(train) [81][1320/1879] lr: 2.0000e-03 eta: 6:08:16 time: 0.6566 data_time: 0.0199 memory: 13723 grad_norm: 4.8057 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7038 loss: 0.7038 2022/08/09 20:35:26 - mmengine - INFO - Epoch(train) [81][1340/1879] lr: 2.0000e-03 eta: 6:08:04 time: 0.6537 data_time: 0.0211 memory: 13723 grad_norm: 4.7754 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7653 loss: 0.7653 2022/08/09 20:35:42 - mmengine - INFO - Epoch(train) [81][1360/1879] lr: 2.0000e-03 eta: 6:07:53 time: 0.8006 data_time: 0.0226 memory: 13723 grad_norm: 4.9461 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6488 loss: 0.6488 2022/08/09 20:35:53 - mmengine - INFO - Epoch(train) [81][1380/1879] lr: 2.0000e-03 eta: 6:07:41 time: 0.5831 data_time: 0.0219 memory: 13723 grad_norm: 4.8920 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6770 loss: 0.6770 2022/08/09 20:36:09 - mmengine - INFO - Epoch(train) [81][1400/1879] lr: 2.0000e-03 eta: 6:07:29 time: 0.7579 data_time: 0.0214 memory: 13723 grad_norm: 4.7950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7467 loss: 0.7467 2022/08/09 20:36:23 - mmengine - INFO - Epoch(train) [81][1420/1879] lr: 2.0000e-03 eta: 6:07:18 time: 0.7259 data_time: 0.0214 memory: 13723 grad_norm: 4.8521 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7889 loss: 0.7889 2022/08/09 20:36:36 - mmengine - INFO - Epoch(train) [81][1440/1879] lr: 2.0000e-03 eta: 6:07:05 time: 0.6378 data_time: 0.0190 memory: 13723 grad_norm: 4.7627 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6765 loss: 0.6765 2022/08/09 20:36:50 - mmengine - INFO - Epoch(train) [81][1460/1879] lr: 2.0000e-03 eta: 6:06:54 time: 0.7285 data_time: 0.0240 memory: 13723 grad_norm: 4.7387 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6552 loss: 0.6552 2022/08/09 20:37:05 - mmengine - INFO - Epoch(train) [81][1480/1879] lr: 2.0000e-03 eta: 6:06:42 time: 0.7425 data_time: 0.1370 memory: 13723 grad_norm: 4.8179 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6665 loss: 0.6665 2022/08/09 20:37:22 - mmengine - INFO - Epoch(train) [81][1500/1879] lr: 2.0000e-03 eta: 6:06:31 time: 0.8466 data_time: 0.2980 memory: 13723 grad_norm: 4.7582 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5160 loss: 0.5160 2022/08/09 20:37:35 - mmengine - INFO - Epoch(train) [81][1520/1879] lr: 2.0000e-03 eta: 6:06:19 time: 0.6436 data_time: 0.0986 memory: 13723 grad_norm: 4.6413 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6925 loss: 0.6925 2022/08/09 20:37:49 - mmengine - INFO - Epoch(train) [81][1540/1879] lr: 2.0000e-03 eta: 6:06:07 time: 0.6947 data_time: 0.1442 memory: 13723 grad_norm: 4.7913 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7539 loss: 0.7539 2022/08/09 20:38:04 - mmengine - INFO - Epoch(train) [81][1560/1879] lr: 2.0000e-03 eta: 6:05:56 time: 0.7573 data_time: 0.0275 memory: 13723 grad_norm: 4.9259 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7489 loss: 0.7489 2022/08/09 20:38:18 - mmengine - INFO - Epoch(train) [81][1580/1879] lr: 2.0000e-03 eta: 6:05:44 time: 0.6805 data_time: 0.1348 memory: 13723 grad_norm: 4.6118 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6730 loss: 0.6730 2022/08/09 20:38:35 - mmengine - INFO - Epoch(train) [81][1600/1879] lr: 2.0000e-03 eta: 6:05:33 time: 0.8662 data_time: 0.3260 memory: 13723 grad_norm: 4.8024 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7721 loss: 0.7721 2022/08/09 20:38:48 - mmengine - INFO - Epoch(train) [81][1620/1879] lr: 2.0000e-03 eta: 6:05:21 time: 0.6545 data_time: 0.1124 memory: 13723 grad_norm: 4.8001 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7010 loss: 0.7010 2022/08/09 20:39:03 - mmengine - INFO - Epoch(train) [81][1640/1879] lr: 2.0000e-03 eta: 6:05:10 time: 0.7493 data_time: 0.0653 memory: 13723 grad_norm: 4.7586 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6771 loss: 0.6771 2022/08/09 20:39:19 - mmengine - INFO - Epoch(train) [81][1660/1879] lr: 2.0000e-03 eta: 6:04:58 time: 0.8021 data_time: 0.0152 memory: 13723 grad_norm: 4.7771 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5910 loss: 0.5910 2022/08/09 20:39:36 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 20:39:36 - mmengine - INFO - Epoch(train) [81][1680/1879] lr: 2.0000e-03 eta: 6:04:47 time: 0.8055 data_time: 0.0219 memory: 13723 grad_norm: 4.8059 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8361 loss: 0.8361 2022/08/09 20:39:50 - mmengine - INFO - Epoch(train) [81][1700/1879] lr: 2.0000e-03 eta: 6:04:35 time: 0.7068 data_time: 0.0174 memory: 13723 grad_norm: 4.8687 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6642 loss: 0.6642 2022/08/09 20:40:05 - mmengine - INFO - Epoch(train) [81][1720/1879] lr: 2.0000e-03 eta: 6:04:24 time: 0.7768 data_time: 0.0520 memory: 13723 grad_norm: 4.7436 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7921 loss: 0.7921 2022/08/09 20:40:25 - mmengine - INFO - Epoch(train) [81][1740/1879] lr: 2.0000e-03 eta: 6:04:14 time: 0.9953 data_time: 0.3247 memory: 13723 grad_norm: 4.8408 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6421 loss: 0.6421 2022/08/09 20:40:41 - mmengine - INFO - Epoch(train) [81][1760/1879] lr: 2.0000e-03 eta: 6:04:02 time: 0.7840 data_time: 0.0158 memory: 13723 grad_norm: 4.7031 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6081 loss: 0.6081 2022/08/09 20:40:58 - mmengine - INFO - Epoch(train) [81][1780/1879] lr: 2.0000e-03 eta: 6:03:51 time: 0.8703 data_time: 0.0183 memory: 13723 grad_norm: 4.8695 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6182 loss: 0.6182 2022/08/09 20:41:12 - mmengine - INFO - Epoch(train) [81][1800/1879] lr: 2.0000e-03 eta: 6:03:39 time: 0.7029 data_time: 0.0202 memory: 13723 grad_norm: 4.7729 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6728 loss: 0.6728 2022/08/09 20:41:32 - mmengine - INFO - Epoch(train) [81][1820/1879] lr: 2.0000e-03 eta: 6:03:29 time: 0.9924 data_time: 0.0496 memory: 13723 grad_norm: 4.9185 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6556 loss: 0.6556 2022/08/09 20:41:48 - mmengine - INFO - Epoch(train) [81][1840/1879] lr: 2.0000e-03 eta: 6:03:18 time: 0.8141 data_time: 0.2552 memory: 13723 grad_norm: 4.6837 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7239 loss: 0.7239 2022/08/09 20:42:06 - mmengine - INFO - Epoch(train) [81][1860/1879] lr: 2.0000e-03 eta: 6:03:07 time: 0.8986 data_time: 0.1047 memory: 13723 grad_norm: 4.7404 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7275 loss: 0.7275 2022/08/09 20:42:19 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 20:42:19 - mmengine - INFO - Epoch(train) [81][1879/1879] lr: 2.0000e-03 eta: 6:03:07 time: 0.6376 data_time: 0.0157 memory: 13723 grad_norm: 4.7925 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.8392 loss: 0.8392 2022/08/09 20:42:19 - mmengine - INFO - Saving checkpoint at 81 epochs 2022/08/09 20:42:40 - mmengine - INFO - Epoch(val) [81][20/155] eta: 0:02:07 time: 0.9431 data_time: 0.8050 memory: 1829 2022/08/09 20:42:47 - mmengine - INFO - Epoch(val) [81][40/155] eta: 0:00:41 time: 0.3623 data_time: 0.2230 memory: 1829 2022/08/09 20:43:01 - mmengine - INFO - Epoch(val) [81][60/155] eta: 0:01:05 time: 0.6918 data_time: 0.5556 memory: 1829 2022/08/09 20:43:12 - mmengine - INFO - Epoch(val) [81][80/155] eta: 0:00:40 time: 0.5459 data_time: 0.4100 memory: 1829 2022/08/09 20:43:23 - mmengine - INFO - Epoch(val) [81][100/155] eta: 0:00:31 time: 0.5749 data_time: 0.4391 memory: 1829 2022/08/09 20:43:38 - mmengine - INFO - Epoch(val) [81][120/155] eta: 0:00:24 time: 0.7122 data_time: 0.5763 memory: 1829 2022/08/09 20:43:53 - mmengine - INFO - Epoch(val) [81][140/155] eta: 0:00:11 time: 0.7632 data_time: 0.6283 memory: 1829 2022/08/09 20:44:10 - mmengine - INFO - Epoch(val) [81][155/155] acc/top1: 0.7085 acc/top5: 0.8961 acc/mean1: 0.7084 2022/08/09 20:44:29 - mmengine - INFO - Epoch(train) [82][20/1879] lr: 2.0000e-03 eta: 6:02:42 time: 0.9803 data_time: 0.2145 memory: 13723 grad_norm: 4.8080 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6710 loss: 0.6710 2022/08/09 20:44:47 - mmengine - INFO - Epoch(train) [82][40/1879] lr: 2.0000e-03 eta: 6:02:31 time: 0.8639 data_time: 0.0214 memory: 13723 grad_norm: 4.7856 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6315 loss: 0.6315 2022/08/09 20:45:00 - mmengine - INFO - Epoch(train) [82][60/1879] lr: 2.0000e-03 eta: 6:02:19 time: 0.6467 data_time: 0.0211 memory: 13723 grad_norm: 4.6300 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6582 loss: 0.6582 2022/08/09 20:45:15 - mmengine - INFO - Epoch(train) [82][80/1879] lr: 2.0000e-03 eta: 6:02:08 time: 0.7734 data_time: 0.0176 memory: 13723 grad_norm: 4.8768 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6494 loss: 0.6494 2022/08/09 20:45:31 - mmengine - INFO - Epoch(train) [82][100/1879] lr: 2.0000e-03 eta: 6:01:56 time: 0.7997 data_time: 0.0200 memory: 13723 grad_norm: 4.8566 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6753 loss: 0.6753 2022/08/09 20:45:46 - mmengine - INFO - Epoch(train) [82][120/1879] lr: 2.0000e-03 eta: 6:01:45 time: 0.7485 data_time: 0.0213 memory: 13723 grad_norm: 4.8177 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6819 loss: 0.6819 2022/08/09 20:46:04 - mmengine - INFO - Epoch(train) [82][140/1879] lr: 2.0000e-03 eta: 6:01:34 time: 0.8973 data_time: 0.0180 memory: 13723 grad_norm: 4.8628 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7314 loss: 0.7314 2022/08/09 20:46:16 - mmengine - INFO - Epoch(train) [82][160/1879] lr: 2.0000e-03 eta: 6:01:22 time: 0.6128 data_time: 0.0200 memory: 13723 grad_norm: 4.6764 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7172 loss: 0.7172 2022/08/09 20:46:32 - mmengine - INFO - Epoch(train) [82][180/1879] lr: 2.0000e-03 eta: 6:01:10 time: 0.7896 data_time: 0.0198 memory: 13723 grad_norm: 4.7687 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6164 loss: 0.6164 2022/08/09 20:46:47 - mmengine - INFO - Epoch(train) [82][200/1879] lr: 2.0000e-03 eta: 6:00:59 time: 0.7436 data_time: 0.0197 memory: 13723 grad_norm: 4.5781 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6431 loss: 0.6431 2022/08/09 20:46:59 - mmengine - INFO - Epoch(train) [82][220/1879] lr: 2.0000e-03 eta: 6:00:47 time: 0.5971 data_time: 0.0211 memory: 13723 grad_norm: 4.6411 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7038 loss: 0.7038 2022/08/09 20:47:12 - mmengine - INFO - Epoch(train) [82][240/1879] lr: 2.0000e-03 eta: 6:00:35 time: 0.6540 data_time: 0.0237 memory: 13723 grad_norm: 4.8102 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6394 loss: 0.6394 2022/08/09 20:47:29 - mmengine - INFO - Epoch(train) [82][260/1879] lr: 2.0000e-03 eta: 6:00:23 time: 0.8391 data_time: 0.0172 memory: 13723 grad_norm: 4.8814 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6648 loss: 0.6648 2022/08/09 20:47:46 - mmengine - INFO - Epoch(train) [82][280/1879] lr: 2.0000e-03 eta: 6:00:12 time: 0.8557 data_time: 0.0226 memory: 13723 grad_norm: 4.6937 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6896 loss: 0.6896 2022/08/09 20:48:00 - mmengine - INFO - Epoch(train) [82][300/1879] lr: 2.0000e-03 eta: 6:00:01 time: 0.7057 data_time: 0.0186 memory: 13723 grad_norm: 4.6844 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7963 loss: 0.7963 2022/08/09 20:48:16 - mmengine - INFO - Epoch(train) [82][320/1879] lr: 2.0000e-03 eta: 5:59:49 time: 0.7858 data_time: 0.0198 memory: 13723 grad_norm: 4.5806 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7524 loss: 0.7524 2022/08/09 20:48:28 - mmengine - INFO - Epoch(train) [82][340/1879] lr: 2.0000e-03 eta: 5:59:37 time: 0.6210 data_time: 0.0341 memory: 13723 grad_norm: 4.7865 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6673 loss: 0.6673 2022/08/09 20:48:45 - mmengine - INFO - Epoch(train) [82][360/1879] lr: 2.0000e-03 eta: 5:59:26 time: 0.8431 data_time: 0.1777 memory: 13723 grad_norm: 4.8379 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6653 loss: 0.6653 2022/08/09 20:49:00 - mmengine - INFO - Epoch(train) [82][380/1879] lr: 2.0000e-03 eta: 5:59:14 time: 0.7299 data_time: 0.0316 memory: 13723 grad_norm: 4.7646 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6939 loss: 0.6939 2022/08/09 20:49:20 - mmengine - INFO - Epoch(train) [82][400/1879] lr: 2.0000e-03 eta: 5:59:04 time: 1.0114 data_time: 0.0195 memory: 13723 grad_norm: 4.8345 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7550 loss: 0.7550 2022/08/09 20:49:40 - mmengine - INFO - Epoch(train) [82][420/1879] lr: 2.0000e-03 eta: 5:58:54 time: 1.0075 data_time: 0.0285 memory: 13723 grad_norm: 4.9074 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5860 loss: 0.5860 2022/08/09 20:49:58 - mmengine - INFO - Epoch(train) [82][440/1879] lr: 2.0000e-03 eta: 5:58:43 time: 0.8997 data_time: 0.0217 memory: 13723 grad_norm: 4.8368 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5893 loss: 0.5893 2022/08/09 20:50:15 - mmengine - INFO - Epoch(train) [82][460/1879] lr: 2.0000e-03 eta: 5:58:32 time: 0.8545 data_time: 0.0206 memory: 13723 grad_norm: 4.6787 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5968 loss: 0.5968 2022/08/09 20:50:33 - mmengine - INFO - Epoch(train) [82][480/1879] lr: 2.0000e-03 eta: 5:58:21 time: 0.8692 data_time: 0.0357 memory: 13723 grad_norm: 4.6601 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6845 loss: 0.6845 2022/08/09 20:50:46 - mmengine - INFO - Epoch(train) [82][500/1879] lr: 2.0000e-03 eta: 5:58:09 time: 0.6813 data_time: 0.0246 memory: 13723 grad_norm: 4.7343 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6927 loss: 0.6927 2022/08/09 20:51:00 - mmengine - INFO - Epoch(train) [82][520/1879] lr: 2.0000e-03 eta: 5:57:57 time: 0.6662 data_time: 0.1153 memory: 13723 grad_norm: 4.7418 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6880 loss: 0.6880 2022/08/09 20:51:18 - mmengine - INFO - Epoch(train) [82][540/1879] lr: 2.0000e-03 eta: 5:57:46 time: 0.9138 data_time: 0.1946 memory: 13723 grad_norm: 4.6871 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6257 loss: 0.6257 2022/08/09 20:51:34 - mmengine - INFO - Epoch(train) [82][560/1879] lr: 2.0000e-03 eta: 5:57:35 time: 0.7978 data_time: 0.1862 memory: 13723 grad_norm: 4.8981 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7632 loss: 0.7632 2022/08/09 20:51:46 - mmengine - INFO - Epoch(train) [82][580/1879] lr: 2.0000e-03 eta: 5:57:23 time: 0.6275 data_time: 0.0255 memory: 13723 grad_norm: 4.7951 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.5496 loss: 0.5496 2022/08/09 20:52:04 - mmengine - INFO - Epoch(train) [82][600/1879] lr: 2.0000e-03 eta: 5:57:12 time: 0.8951 data_time: 0.0191 memory: 13723 grad_norm: 4.7608 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7467 loss: 0.7467 2022/08/09 20:52:19 - mmengine - INFO - Epoch(train) [82][620/1879] lr: 2.0000e-03 eta: 5:57:00 time: 0.7486 data_time: 0.0203 memory: 13723 grad_norm: 4.6698 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5493 loss: 0.5493 2022/08/09 20:52:35 - mmengine - INFO - Epoch(train) [82][640/1879] lr: 2.0000e-03 eta: 5:56:49 time: 0.7899 data_time: 0.0225 memory: 13723 grad_norm: 4.8953 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7036 loss: 0.7036 2022/08/09 20:52:49 - mmengine - INFO - Epoch(train) [82][660/1879] lr: 2.0000e-03 eta: 5:56:37 time: 0.6946 data_time: 0.0225 memory: 13723 grad_norm: 4.7562 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6645 loss: 0.6645 2022/08/09 20:53:06 - mmengine - INFO - Epoch(train) [82][680/1879] lr: 2.0000e-03 eta: 5:56:26 time: 0.8306 data_time: 0.2157 memory: 13723 grad_norm: 4.6633 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5431 loss: 0.5431 2022/08/09 20:53:21 - mmengine - INFO - Epoch(train) [82][700/1879] lr: 2.0000e-03 eta: 5:56:14 time: 0.7646 data_time: 0.2164 memory: 13723 grad_norm: 4.6674 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6823 loss: 0.6823 2022/08/09 20:53:43 - mmengine - INFO - Epoch(train) [82][720/1879] lr: 2.0000e-03 eta: 5:56:04 time: 1.1219 data_time: 0.0174 memory: 13723 grad_norm: 4.8874 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6058 loss: 0.6058 2022/08/09 20:54:05 - mmengine - INFO - Epoch(train) [82][740/1879] lr: 2.0000e-03 eta: 5:55:54 time: 1.0717 data_time: 0.0192 memory: 13723 grad_norm: 4.7140 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7189 loss: 0.7189 2022/08/09 20:54:26 - mmengine - INFO - Epoch(train) [82][760/1879] lr: 2.0000e-03 eta: 5:55:44 time: 1.0718 data_time: 0.0197 memory: 13723 grad_norm: 4.7884 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7218 loss: 0.7218 2022/08/09 20:54:46 - mmengine - INFO - Epoch(train) [82][780/1879] lr: 2.0000e-03 eta: 5:55:33 time: 0.9613 data_time: 0.0285 memory: 13723 grad_norm: 4.7125 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6403 loss: 0.6403 2022/08/09 20:55:00 - mmengine - INFO - Epoch(train) [82][800/1879] lr: 2.0000e-03 eta: 5:55:22 time: 0.7217 data_time: 0.0206 memory: 13723 grad_norm: 4.7961 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6843 loss: 0.6843 2022/08/09 20:55:01 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 20:55:20 - mmengine - INFO - Epoch(train) [82][820/1879] lr: 2.0000e-03 eta: 5:55:11 time: 0.9952 data_time: 0.0174 memory: 13723 grad_norm: 4.8659 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6456 loss: 0.6456 2022/08/09 20:55:40 - mmengine - INFO - Epoch(train) [82][840/1879] lr: 2.0000e-03 eta: 5:55:01 time: 1.0208 data_time: 0.3561 memory: 13723 grad_norm: 4.7023 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6424 loss: 0.6424 2022/08/09 20:55:55 - mmengine - INFO - Epoch(train) [82][860/1879] lr: 2.0000e-03 eta: 5:54:49 time: 0.7132 data_time: 0.1734 memory: 13723 grad_norm: 4.6889 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5359 loss: 0.5359 2022/08/09 20:56:10 - mmengine - INFO - Epoch(train) [82][880/1879] lr: 2.0000e-03 eta: 5:54:38 time: 0.7644 data_time: 0.0321 memory: 13723 grad_norm: 4.8853 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7244 loss: 0.7244 2022/08/09 20:56:33 - mmengine - INFO - Epoch(train) [82][900/1879] lr: 2.0000e-03 eta: 5:54:28 time: 1.1335 data_time: 0.1379 memory: 13723 grad_norm: 4.7840 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5952 loss: 0.5952 2022/08/09 20:56:56 - mmengine - INFO - Epoch(train) [82][920/1879] lr: 2.0000e-03 eta: 5:54:18 time: 1.1580 data_time: 0.0203 memory: 13723 grad_norm: 4.7881 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5128 loss: 0.5128 2022/08/09 20:57:12 - mmengine - INFO - Epoch(train) [82][940/1879] lr: 2.0000e-03 eta: 5:54:07 time: 0.7855 data_time: 0.1090 memory: 13723 grad_norm: 4.8939 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5994 loss: 0.5994 2022/08/09 20:57:28 - mmengine - INFO - Epoch(train) [82][960/1879] lr: 2.0000e-03 eta: 5:53:55 time: 0.8126 data_time: 0.0166 memory: 13723 grad_norm: 4.8511 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6099 loss: 0.6099 2022/08/09 20:57:43 - mmengine - INFO - Epoch(train) [82][980/1879] lr: 2.0000e-03 eta: 5:53:44 time: 0.7735 data_time: 0.2158 memory: 13723 grad_norm: 4.7762 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7267 loss: 0.7267 2022/08/09 20:58:04 - mmengine - INFO - Epoch(train) [82][1000/1879] lr: 2.0000e-03 eta: 5:53:33 time: 1.0136 data_time: 0.1161 memory: 13723 grad_norm: 4.8756 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7932 loss: 0.7932 2022/08/09 20:58:23 - mmengine - INFO - Epoch(train) [82][1020/1879] lr: 2.0000e-03 eta: 5:53:23 time: 0.9499 data_time: 0.0193 memory: 13723 grad_norm: 4.7980 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7040 loss: 0.7040 2022/08/09 20:58:38 - mmengine - INFO - Epoch(train) [82][1040/1879] lr: 2.0000e-03 eta: 5:53:11 time: 0.7809 data_time: 0.0456 memory: 13723 grad_norm: 4.8863 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6888 loss: 0.6888 2022/08/09 20:58:54 - mmengine - INFO - Epoch(train) [82][1060/1879] lr: 2.0000e-03 eta: 5:53:00 time: 0.7780 data_time: 0.0172 memory: 13723 grad_norm: 4.6329 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6457 loss: 0.6457 2022/08/09 20:59:09 - mmengine - INFO - Epoch(train) [82][1080/1879] lr: 2.0000e-03 eta: 5:52:48 time: 0.7510 data_time: 0.0192 memory: 13723 grad_norm: 4.7770 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5692 loss: 0.5692 2022/08/09 20:59:29 - mmengine - INFO - Epoch(train) [82][1100/1879] lr: 2.0000e-03 eta: 5:52:38 time: 1.0204 data_time: 0.4717 memory: 13723 grad_norm: 4.9568 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6589 loss: 0.6589 2022/08/09 20:59:42 - mmengine - INFO - Epoch(train) [82][1120/1879] lr: 2.0000e-03 eta: 5:52:26 time: 0.6328 data_time: 0.0799 memory: 13723 grad_norm: 4.6559 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6620 loss: 0.6620 2022/08/09 20:59:59 - mmengine - INFO - Epoch(train) [82][1140/1879] lr: 2.0000e-03 eta: 5:52:14 time: 0.8372 data_time: 0.2926 memory: 13723 grad_norm: 4.6958 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7500 loss: 0.7500 2022/08/09 21:00:15 - mmengine - INFO - Epoch(train) [82][1160/1879] lr: 2.0000e-03 eta: 5:52:03 time: 0.8117 data_time: 0.1677 memory: 13723 grad_norm: 4.5791 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6786 loss: 0.6786 2022/08/09 21:00:29 - mmengine - INFO - Epoch(train) [82][1180/1879] lr: 2.0000e-03 eta: 5:51:51 time: 0.7037 data_time: 0.0218 memory: 13723 grad_norm: 4.8221 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7185 loss: 0.7185 2022/08/09 21:00:47 - mmengine - INFO - Epoch(train) [82][1200/1879] lr: 2.0000e-03 eta: 5:51:40 time: 0.9002 data_time: 0.0186 memory: 13723 grad_norm: 4.7727 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7204 loss: 0.7204 2022/08/09 21:00:58 - mmengine - INFO - Epoch(train) [82][1220/1879] lr: 2.0000e-03 eta: 5:51:28 time: 0.5679 data_time: 0.0190 memory: 13723 grad_norm: 4.5413 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6860 loss: 0.6860 2022/08/09 21:01:14 - mmengine - INFO - Epoch(train) [82][1240/1879] lr: 2.0000e-03 eta: 5:51:16 time: 0.7713 data_time: 0.0214 memory: 13723 grad_norm: 4.9164 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6804 loss: 0.6804 2022/08/09 21:01:27 - mmengine - INFO - Epoch(train) [82][1260/1879] lr: 2.0000e-03 eta: 5:51:04 time: 0.6646 data_time: 0.0209 memory: 13723 grad_norm: 4.7069 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7829 loss: 0.7829 2022/08/09 21:01:43 - mmengine - INFO - Epoch(train) [82][1280/1879] lr: 2.0000e-03 eta: 5:50:53 time: 0.7868 data_time: 0.0201 memory: 13723 grad_norm: 4.9038 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6270 loss: 0.6270 2022/08/09 21:01:58 - mmengine - INFO - Epoch(train) [82][1300/1879] lr: 2.0000e-03 eta: 5:50:41 time: 0.7413 data_time: 0.0184 memory: 13723 grad_norm: 4.6459 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6134 loss: 0.6134 2022/08/09 21:02:14 - mmengine - INFO - Epoch(train) [82][1320/1879] lr: 2.0000e-03 eta: 5:50:30 time: 0.8037 data_time: 0.0213 memory: 13723 grad_norm: 4.8747 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6103 loss: 0.6103 2022/08/09 21:02:31 - mmengine - INFO - Epoch(train) [82][1340/1879] lr: 2.0000e-03 eta: 5:50:19 time: 0.8596 data_time: 0.2996 memory: 13723 grad_norm: 4.7306 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5856 loss: 0.5856 2022/08/09 21:02:45 - mmengine - INFO - Epoch(train) [82][1360/1879] lr: 2.0000e-03 eta: 5:50:07 time: 0.6674 data_time: 0.1121 memory: 13723 grad_norm: 4.8087 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7302 loss: 0.7302 2022/08/09 21:03:00 - mmengine - INFO - Epoch(train) [82][1380/1879] lr: 2.0000e-03 eta: 5:49:55 time: 0.7738 data_time: 0.1955 memory: 13723 grad_norm: 4.9181 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6415 loss: 0.6415 2022/08/09 21:03:14 - mmengine - INFO - Epoch(train) [82][1400/1879] lr: 2.0000e-03 eta: 5:49:44 time: 0.7188 data_time: 0.0206 memory: 13723 grad_norm: 4.8344 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6586 loss: 0.6586 2022/08/09 21:03:32 - mmengine - INFO - Epoch(train) [82][1420/1879] lr: 2.0000e-03 eta: 5:49:32 time: 0.8779 data_time: 0.0186 memory: 13723 grad_norm: 4.8306 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7110 loss: 0.7110 2022/08/09 21:03:44 - mmengine - INFO - Epoch(train) [82][1440/1879] lr: 2.0000e-03 eta: 5:49:20 time: 0.5967 data_time: 0.0239 memory: 13723 grad_norm: 4.5255 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6299 loss: 0.6299 2022/08/09 21:04:03 - mmengine - INFO - Epoch(train) [82][1460/1879] lr: 2.0000e-03 eta: 5:49:09 time: 0.9367 data_time: 0.0169 memory: 13723 grad_norm: 4.7439 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6817 loss: 0.6817 2022/08/09 21:04:17 - mmengine - INFO - Epoch(train) [82][1480/1879] lr: 2.0000e-03 eta: 5:48:58 time: 0.6987 data_time: 0.0231 memory: 13723 grad_norm: 4.8262 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5250 loss: 0.5250 2022/08/09 21:04:34 - mmengine - INFO - Epoch(train) [82][1500/1879] lr: 2.0000e-03 eta: 5:48:46 time: 0.8506 data_time: 0.0178 memory: 13723 grad_norm: 4.7947 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5655 loss: 0.5655 2022/08/09 21:04:47 - mmengine - INFO - Epoch(train) [82][1520/1879] lr: 2.0000e-03 eta: 5:48:34 time: 0.6915 data_time: 0.0215 memory: 13723 grad_norm: 4.8500 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7443 loss: 0.7443 2022/08/09 21:05:03 - mmengine - INFO - Epoch(train) [82][1540/1879] lr: 2.0000e-03 eta: 5:48:23 time: 0.7756 data_time: 0.2293 memory: 13723 grad_norm: 4.7564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6680 loss: 0.6680 2022/08/09 21:05:26 - mmengine - INFO - Epoch(train) [82][1560/1879] lr: 2.0000e-03 eta: 5:48:13 time: 1.1548 data_time: 0.0870 memory: 13723 grad_norm: 4.8374 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6999 loss: 0.6999 2022/08/09 21:05:39 - mmengine - INFO - Epoch(train) [82][1580/1879] lr: 2.0000e-03 eta: 5:48:01 time: 0.6533 data_time: 0.0169 memory: 13723 grad_norm: 4.9260 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6421 loss: 0.6421 2022/08/09 21:06:06 - mmengine - INFO - Epoch(train) [82][1600/1879] lr: 2.0000e-03 eta: 5:47:52 time: 1.3203 data_time: 0.0194 memory: 13723 grad_norm: 4.8331 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6715 loss: 0.6715 2022/08/09 21:06:22 - mmengine - INFO - Epoch(train) [82][1620/1879] lr: 2.0000e-03 eta: 5:47:41 time: 0.8419 data_time: 0.0176 memory: 13723 grad_norm: 5.0166 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6963 loss: 0.6963 2022/08/09 21:06:39 - mmengine - INFO - Epoch(train) [82][1640/1879] lr: 2.0000e-03 eta: 5:47:29 time: 0.8093 data_time: 0.0218 memory: 13723 grad_norm: 4.8420 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6384 loss: 0.6384 2022/08/09 21:06:51 - mmengine - INFO - Epoch(train) [82][1660/1879] lr: 2.0000e-03 eta: 5:47:17 time: 0.6194 data_time: 0.0191 memory: 13723 grad_norm: 4.9461 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6331 loss: 0.6331 2022/08/09 21:07:11 - mmengine - INFO - Epoch(train) [82][1680/1879] lr: 2.0000e-03 eta: 5:47:07 time: 1.0110 data_time: 0.3491 memory: 13723 grad_norm: 4.8523 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6804 loss: 0.6804 2022/08/09 21:07:23 - mmengine - INFO - Epoch(train) [82][1700/1879] lr: 2.0000e-03 eta: 5:46:54 time: 0.5848 data_time: 0.0379 memory: 13723 grad_norm: 4.7826 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5736 loss: 0.5736 2022/08/09 21:07:42 - mmengine - INFO - Epoch(train) [82][1720/1879] lr: 2.0000e-03 eta: 5:46:44 time: 0.9461 data_time: 0.0846 memory: 13723 grad_norm: 4.8264 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7534 loss: 0.7534 2022/08/09 21:07:55 - mmengine - INFO - Epoch(train) [82][1740/1879] lr: 2.0000e-03 eta: 5:46:32 time: 0.6602 data_time: 0.0185 memory: 13723 grad_norm: 4.8850 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6466 loss: 0.6466 2022/08/09 21:08:17 - mmengine - INFO - Epoch(train) [82][1760/1879] lr: 2.0000e-03 eta: 5:46:21 time: 1.0991 data_time: 0.0219 memory: 13723 grad_norm: 4.7925 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7284 loss: 0.7284 2022/08/09 21:08:34 - mmengine - INFO - Epoch(train) [82][1780/1879] lr: 2.0000e-03 eta: 5:46:10 time: 0.8516 data_time: 0.0166 memory: 13723 grad_norm: 4.6600 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6399 loss: 0.6399 2022/08/09 21:08:52 - mmengine - INFO - Epoch(train) [82][1800/1879] lr: 2.0000e-03 eta: 5:45:59 time: 0.8916 data_time: 0.0209 memory: 13723 grad_norm: 4.8403 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7499 loss: 0.7499 2022/08/09 21:08:53 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 21:09:07 - mmengine - INFO - Epoch(train) [82][1820/1879] lr: 2.0000e-03 eta: 5:45:48 time: 0.7561 data_time: 0.0704 memory: 13723 grad_norm: 4.8822 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6780 loss: 0.6780 2022/08/09 21:09:23 - mmengine - INFO - Epoch(train) [82][1840/1879] lr: 2.0000e-03 eta: 5:45:36 time: 0.7984 data_time: 0.0217 memory: 13723 grad_norm: 4.8868 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6637 loss: 0.6637 2022/08/09 21:09:35 - mmengine - INFO - Epoch(train) [82][1860/1879] lr: 2.0000e-03 eta: 5:45:24 time: 0.5663 data_time: 0.0196 memory: 13723 grad_norm: 4.6547 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7025 loss: 0.7025 2022/08/09 21:09:49 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 21:09:49 - mmengine - INFO - Epoch(train) [82][1879/1879] lr: 2.0000e-03 eta: 5:45:24 time: 0.7566 data_time: 0.0618 memory: 13723 grad_norm: 5.0455 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.6136 loss: 0.6136 2022/08/09 21:10:01 - mmengine - INFO - Epoch(val) [82][20/155] eta: 0:01:21 time: 0.6054 data_time: 0.4684 memory: 1829 2022/08/09 21:10:17 - mmengine - INFO - Epoch(val) [82][40/155] eta: 0:01:28 time: 0.7734 data_time: 0.6321 memory: 1829 2022/08/09 21:10:27 - mmengine - INFO - Epoch(val) [82][60/155] eta: 0:00:49 time: 0.5182 data_time: 0.3834 memory: 1829 2022/08/09 21:10:38 - mmengine - INFO - Epoch(val) [82][80/155] eta: 0:00:42 time: 0.5630 data_time: 0.4262 memory: 1829 2022/08/09 21:10:55 - mmengine - INFO - Epoch(val) [82][100/155] eta: 0:00:44 time: 0.8147 data_time: 0.6779 memory: 1829 2022/08/09 21:11:07 - mmengine - INFO - Epoch(val) [82][120/155] eta: 0:00:21 time: 0.6125 data_time: 0.4767 memory: 1829 2022/08/09 21:11:18 - mmengine - INFO - Epoch(val) [82][140/155] eta: 0:00:07 time: 0.5330 data_time: 0.3984 memory: 1829 2022/08/09 21:11:45 - mmengine - INFO - Epoch(val) [82][155/155] acc/top1: 0.7075 acc/top5: 0.8959 acc/mean1: 0.7074 2022/08/09 21:12:08 - mmengine - INFO - Epoch(train) [83][20/1879] lr: 2.0000e-03 eta: 5:45:00 time: 1.1179 data_time: 0.1651 memory: 13723 grad_norm: 4.8069 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7704 loss: 0.7704 2022/08/09 21:12:23 - mmengine - INFO - Epoch(train) [83][40/1879] lr: 2.0000e-03 eta: 5:44:48 time: 0.7469 data_time: 0.0448 memory: 13723 grad_norm: 4.8580 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6678 loss: 0.6678 2022/08/09 21:12:41 - mmengine - INFO - Epoch(train) [83][60/1879] lr: 2.0000e-03 eta: 5:44:37 time: 0.9073 data_time: 0.1908 memory: 13723 grad_norm: 4.8942 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6498 loss: 0.6498 2022/08/09 21:12:58 - mmengine - INFO - Epoch(train) [83][80/1879] lr: 2.0000e-03 eta: 5:44:26 time: 0.8557 data_time: 0.2906 memory: 13723 grad_norm: 4.9021 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5310 loss: 0.5310 2022/08/09 21:13:12 - mmengine - INFO - Epoch(train) [83][100/1879] lr: 2.0000e-03 eta: 5:44:14 time: 0.6774 data_time: 0.1341 memory: 13723 grad_norm: 4.9165 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8030 loss: 0.8030 2022/08/09 21:13:26 - mmengine - INFO - Epoch(train) [83][120/1879] lr: 2.0000e-03 eta: 5:44:02 time: 0.6982 data_time: 0.0234 memory: 13723 grad_norm: 4.7673 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5758 loss: 0.5758 2022/08/09 21:13:39 - mmengine - INFO - Epoch(train) [83][140/1879] lr: 2.0000e-03 eta: 5:43:50 time: 0.6851 data_time: 0.1094 memory: 13723 grad_norm: 4.7851 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6049 loss: 0.6049 2022/08/09 21:13:55 - mmengine - INFO - Epoch(train) [83][160/1879] lr: 2.0000e-03 eta: 5:43:38 time: 0.7671 data_time: 0.1090 memory: 13723 grad_norm: 4.8128 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6735 loss: 0.6735 2022/08/09 21:14:12 - mmengine - INFO - Epoch(train) [83][180/1879] lr: 2.0000e-03 eta: 5:43:27 time: 0.8737 data_time: 0.3150 memory: 13723 grad_norm: 4.9303 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7038 loss: 0.7038 2022/08/09 21:14:26 - mmengine - INFO - Epoch(train) [83][200/1879] lr: 2.0000e-03 eta: 5:43:15 time: 0.6991 data_time: 0.1010 memory: 13723 grad_norm: 4.6369 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6625 loss: 0.6625 2022/08/09 21:14:46 - mmengine - INFO - Epoch(train) [83][220/1879] lr: 2.0000e-03 eta: 5:43:05 time: 1.0038 data_time: 0.0721 memory: 13723 grad_norm: 4.6294 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5642 loss: 0.5642 2022/08/09 21:15:00 - mmengine - INFO - Epoch(train) [83][240/1879] lr: 2.0000e-03 eta: 5:42:53 time: 0.6757 data_time: 0.0217 memory: 13723 grad_norm: 4.7980 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5139 loss: 0.5139 2022/08/09 21:15:14 - mmengine - INFO - Epoch(train) [83][260/1879] lr: 2.0000e-03 eta: 5:42:41 time: 0.6843 data_time: 0.0183 memory: 13723 grad_norm: 4.8732 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7828 loss: 0.7828 2022/08/09 21:15:30 - mmengine - INFO - Epoch(train) [83][280/1879] lr: 2.0000e-03 eta: 5:42:29 time: 0.7983 data_time: 0.0188 memory: 13723 grad_norm: 4.8590 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6255 loss: 0.6255 2022/08/09 21:15:44 - mmengine - INFO - Epoch(train) [83][300/1879] lr: 2.0000e-03 eta: 5:42:18 time: 0.7025 data_time: 0.0580 memory: 13723 grad_norm: 4.8550 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5461 loss: 0.5461 2022/08/09 21:16:03 - mmengine - INFO - Epoch(train) [83][320/1879] lr: 2.0000e-03 eta: 5:42:07 time: 0.9517 data_time: 0.3452 memory: 13723 grad_norm: 4.5986 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6310 loss: 0.6310 2022/08/09 21:16:19 - mmengine - INFO - Epoch(train) [83][340/1879] lr: 2.0000e-03 eta: 5:41:55 time: 0.8156 data_time: 0.0862 memory: 13723 grad_norm: 4.6797 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7355 loss: 0.7355 2022/08/09 21:16:35 - mmengine - INFO - Epoch(train) [83][360/1879] lr: 2.0000e-03 eta: 5:41:44 time: 0.7858 data_time: 0.1820 memory: 13723 grad_norm: 4.7258 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5318 loss: 0.5318 2022/08/09 21:16:52 - mmengine - INFO - Epoch(train) [83][380/1879] lr: 2.0000e-03 eta: 5:41:33 time: 0.8622 data_time: 0.0220 memory: 13723 grad_norm: 4.9873 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6637 loss: 0.6637 2022/08/09 21:17:09 - mmengine - INFO - Epoch(train) [83][400/1879] lr: 2.0000e-03 eta: 5:41:22 time: 0.8523 data_time: 0.1321 memory: 13723 grad_norm: 4.7642 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5704 loss: 0.5704 2022/08/09 21:17:23 - mmengine - INFO - Epoch(train) [83][420/1879] lr: 2.0000e-03 eta: 5:41:10 time: 0.6836 data_time: 0.0615 memory: 13723 grad_norm: 4.9081 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7114 loss: 0.7114 2022/08/09 21:17:39 - mmengine - INFO - Epoch(train) [83][440/1879] lr: 2.0000e-03 eta: 5:40:58 time: 0.8243 data_time: 0.2248 memory: 13723 grad_norm: 4.9047 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7772 loss: 0.7772 2022/08/09 21:17:51 - mmengine - INFO - Epoch(train) [83][460/1879] lr: 2.0000e-03 eta: 5:40:46 time: 0.5947 data_time: 0.0324 memory: 13723 grad_norm: 4.7434 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7805 loss: 0.7805 2022/08/09 21:18:08 - mmengine - INFO - Epoch(train) [83][480/1879] lr: 2.0000e-03 eta: 5:40:35 time: 0.8468 data_time: 0.0198 memory: 13723 grad_norm: 4.8173 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7074 loss: 0.7074 2022/08/09 21:18:22 - mmengine - INFO - Epoch(train) [83][500/1879] lr: 2.0000e-03 eta: 5:40:23 time: 0.6823 data_time: 0.0386 memory: 13723 grad_norm: 4.7399 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7501 loss: 0.7501 2022/08/09 21:18:41 - mmengine - INFO - Epoch(train) [83][520/1879] lr: 2.0000e-03 eta: 5:40:12 time: 0.9761 data_time: 0.0176 memory: 13723 grad_norm: 4.6796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7305 loss: 0.7305 2022/08/09 21:18:58 - mmengine - INFO - Epoch(train) [83][540/1879] lr: 2.0000e-03 eta: 5:40:01 time: 0.8468 data_time: 0.0192 memory: 13723 grad_norm: 4.7199 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6538 loss: 0.6538 2022/08/09 21:19:12 - mmengine - INFO - Epoch(train) [83][560/1879] lr: 2.0000e-03 eta: 5:39:49 time: 0.7129 data_time: 0.0189 memory: 13723 grad_norm: 4.7292 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5784 loss: 0.5784 2022/08/09 21:19:25 - mmengine - INFO - Epoch(train) [83][580/1879] lr: 2.0000e-03 eta: 5:39:37 time: 0.6454 data_time: 0.0202 memory: 13723 grad_norm: 4.6577 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7084 loss: 0.7084 2022/08/09 21:19:45 - mmengine - INFO - Epoch(train) [83][600/1879] lr: 2.0000e-03 eta: 5:39:26 time: 0.9718 data_time: 0.0179 memory: 13723 grad_norm: 4.7228 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6014 loss: 0.6014 2022/08/09 21:20:00 - mmengine - INFO - Epoch(train) [83][620/1879] lr: 2.0000e-03 eta: 5:39:14 time: 0.7314 data_time: 0.1598 memory: 13723 grad_norm: 4.8203 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.6194 loss: 0.6194 2022/08/09 21:20:17 - mmengine - INFO - Epoch(train) [83][640/1879] lr: 2.0000e-03 eta: 5:39:03 time: 0.8926 data_time: 0.2206 memory: 13723 grad_norm: 4.7257 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6096 loss: 0.6096 2022/08/09 21:20:37 - mmengine - INFO - Epoch(train) [83][660/1879] lr: 2.0000e-03 eta: 5:38:52 time: 0.9550 data_time: 0.0227 memory: 13723 grad_norm: 4.9574 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6321 loss: 0.6321 2022/08/09 21:20:50 - mmengine - INFO - Epoch(train) [83][680/1879] lr: 2.0000e-03 eta: 5:38:41 time: 0.6809 data_time: 0.0320 memory: 13723 grad_norm: 4.9147 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6492 loss: 0.6492 2022/08/09 21:21:08 - mmengine - INFO - Epoch(train) [83][700/1879] lr: 2.0000e-03 eta: 5:38:29 time: 0.8983 data_time: 0.0183 memory: 13723 grad_norm: 4.7889 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6160 loss: 0.6160 2022/08/09 21:21:29 - mmengine - INFO - Epoch(train) [83][720/1879] lr: 2.0000e-03 eta: 5:38:19 time: 1.0209 data_time: 0.0161 memory: 13723 grad_norm: 4.8827 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6977 loss: 0.6977 2022/08/09 21:21:44 - mmengine - INFO - Epoch(train) [83][740/1879] lr: 2.0000e-03 eta: 5:38:07 time: 0.7493 data_time: 0.0196 memory: 13723 grad_norm: 4.9809 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6886 loss: 0.6886 2022/08/09 21:21:59 - mmengine - INFO - Epoch(train) [83][760/1879] lr: 2.0000e-03 eta: 5:37:56 time: 0.7671 data_time: 0.0173 memory: 13723 grad_norm: 4.7936 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6147 loss: 0.6147 2022/08/09 21:22:13 - mmengine - INFO - Epoch(train) [83][780/1879] lr: 2.0000e-03 eta: 5:37:44 time: 0.6838 data_time: 0.0226 memory: 13723 grad_norm: 4.8500 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7066 loss: 0.7066 2022/08/09 21:22:30 - mmengine - INFO - Epoch(train) [83][800/1879] lr: 2.0000e-03 eta: 5:37:33 time: 0.8736 data_time: 0.0172 memory: 13723 grad_norm: 4.9132 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7315 loss: 0.7315 2022/08/09 21:22:45 - mmengine - INFO - Epoch(train) [83][820/1879] lr: 2.0000e-03 eta: 5:37:21 time: 0.7388 data_time: 0.0197 memory: 13723 grad_norm: 4.8354 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7004 loss: 0.7004 2022/08/09 21:23:01 - mmengine - INFO - Epoch(train) [83][840/1879] lr: 2.0000e-03 eta: 5:37:09 time: 0.7858 data_time: 0.0218 memory: 13723 grad_norm: 4.8577 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7174 loss: 0.7174 2022/08/09 21:23:13 - mmengine - INFO - Epoch(train) [83][860/1879] lr: 2.0000e-03 eta: 5:36:57 time: 0.6223 data_time: 0.0248 memory: 13723 grad_norm: 4.7928 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6328 loss: 0.6328 2022/08/09 21:23:28 - mmengine - INFO - Epoch(train) [83][880/1879] lr: 2.0000e-03 eta: 5:36:45 time: 0.7225 data_time: 0.0414 memory: 13723 grad_norm: 4.7677 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7107 loss: 0.7107 2022/08/09 21:23:41 - mmengine - INFO - Epoch(train) [83][900/1879] lr: 2.0000e-03 eta: 5:36:33 time: 0.6703 data_time: 0.0237 memory: 13723 grad_norm: 4.7432 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6751 loss: 0.6751 2022/08/09 21:23:54 - mmengine - INFO - Epoch(train) [83][920/1879] lr: 2.0000e-03 eta: 5:36:21 time: 0.6574 data_time: 0.0190 memory: 13723 grad_norm: 4.7085 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6548 loss: 0.6548 2022/08/09 21:23:58 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 21:24:09 - mmengine - INFO - Epoch(train) [83][940/1879] lr: 2.0000e-03 eta: 5:36:09 time: 0.7195 data_time: 0.0191 memory: 13723 grad_norm: 4.6047 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6141 loss: 0.6141 2022/08/09 21:24:25 - mmengine - INFO - Epoch(train) [83][960/1879] lr: 2.0000e-03 eta: 5:35:58 time: 0.8005 data_time: 0.0214 memory: 13723 grad_norm: 4.7363 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6131 loss: 0.6131 2022/08/09 21:24:39 - mmengine - INFO - Epoch(train) [83][980/1879] lr: 2.0000e-03 eta: 5:35:46 time: 0.7223 data_time: 0.0225 memory: 13723 grad_norm: 4.6821 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7455 loss: 0.7455 2022/08/09 21:24:56 - mmengine - INFO - Epoch(train) [83][1000/1879] lr: 2.0000e-03 eta: 5:35:35 time: 0.8435 data_time: 0.2624 memory: 13723 grad_norm: 4.9595 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6462 loss: 0.6462 2022/08/09 21:25:13 - mmengine - INFO - Epoch(train) [83][1020/1879] lr: 2.0000e-03 eta: 5:35:24 time: 0.8645 data_time: 0.3196 memory: 13723 grad_norm: 4.9806 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6326 loss: 0.6326 2022/08/09 21:25:28 - mmengine - INFO - Epoch(train) [83][1040/1879] lr: 2.0000e-03 eta: 5:35:12 time: 0.7547 data_time: 0.0213 memory: 13723 grad_norm: 4.7183 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7009 loss: 0.7009 2022/08/09 21:25:43 - mmengine - INFO - Epoch(train) [83][1060/1879] lr: 2.0000e-03 eta: 5:35:00 time: 0.7459 data_time: 0.0760 memory: 13723 grad_norm: 4.7618 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7039 loss: 0.7039 2022/08/09 21:25:57 - mmengine - INFO - Epoch(train) [83][1080/1879] lr: 2.0000e-03 eta: 5:34:48 time: 0.6831 data_time: 0.0166 memory: 13723 grad_norm: 4.8696 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7812 loss: 0.7812 2022/08/09 21:26:13 - mmengine - INFO - Epoch(train) [83][1100/1879] lr: 2.0000e-03 eta: 5:34:37 time: 0.8151 data_time: 0.0217 memory: 13723 grad_norm: 4.8855 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7595 loss: 0.7595 2022/08/09 21:26:30 - mmengine - INFO - Epoch(train) [83][1120/1879] lr: 2.0000e-03 eta: 5:34:25 time: 0.8160 data_time: 0.1451 memory: 13723 grad_norm: 4.5670 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5046 loss: 0.5046 2022/08/09 21:26:44 - mmengine - INFO - Epoch(train) [83][1140/1879] lr: 2.0000e-03 eta: 5:34:13 time: 0.7017 data_time: 0.1584 memory: 13723 grad_norm: 4.9126 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9186 loss: 0.9186 2022/08/09 21:26:58 - mmengine - INFO - Epoch(train) [83][1160/1879] lr: 2.0000e-03 eta: 5:34:02 time: 0.7123 data_time: 0.0315 memory: 13723 grad_norm: 4.8504 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6533 loss: 0.6533 2022/08/09 21:27:12 - mmengine - INFO - Epoch(train) [83][1180/1879] lr: 2.0000e-03 eta: 5:33:50 time: 0.7031 data_time: 0.0189 memory: 13723 grad_norm: 4.9673 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7842 loss: 0.7842 2022/08/09 21:27:27 - mmengine - INFO - Epoch(train) [83][1200/1879] lr: 2.0000e-03 eta: 5:33:38 time: 0.7593 data_time: 0.1409 memory: 13723 grad_norm: 4.8991 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7190 loss: 0.7190 2022/08/09 21:27:42 - mmengine - INFO - Epoch(train) [83][1220/1879] lr: 2.0000e-03 eta: 5:33:26 time: 0.7614 data_time: 0.0589 memory: 13723 grad_norm: 4.8721 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.7380 loss: 0.7380 2022/08/09 21:27:57 - mmengine - INFO - Epoch(train) [83][1240/1879] lr: 2.0000e-03 eta: 5:33:15 time: 0.7377 data_time: 0.0185 memory: 13723 grad_norm: 4.9532 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6341 loss: 0.6341 2022/08/09 21:28:09 - mmengine - INFO - Epoch(train) [83][1260/1879] lr: 2.0000e-03 eta: 5:33:02 time: 0.5726 data_time: 0.0240 memory: 13723 grad_norm: 4.7178 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6854 loss: 0.6854 2022/08/09 21:28:28 - mmengine - INFO - Epoch(train) [83][1280/1879] lr: 2.0000e-03 eta: 5:32:51 time: 0.9432 data_time: 0.1038 memory: 13723 grad_norm: 5.0254 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8344 loss: 0.8344 2022/08/09 21:28:44 - mmengine - INFO - Epoch(train) [83][1300/1879] lr: 2.0000e-03 eta: 5:32:40 time: 0.8107 data_time: 0.0155 memory: 13723 grad_norm: 4.8700 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5256 loss: 0.5256 2022/08/09 21:28:58 - mmengine - INFO - Epoch(train) [83][1320/1879] lr: 2.0000e-03 eta: 5:32:28 time: 0.6881 data_time: 0.0222 memory: 13723 grad_norm: 4.8289 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8325 loss: 0.8325 2022/08/09 21:29:11 - mmengine - INFO - Epoch(train) [83][1340/1879] lr: 2.0000e-03 eta: 5:32:16 time: 0.6642 data_time: 0.1095 memory: 13723 grad_norm: 4.9766 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7127 loss: 0.7127 2022/08/09 21:29:26 - mmengine - INFO - Epoch(train) [83][1360/1879] lr: 2.0000e-03 eta: 5:32:04 time: 0.7757 data_time: 0.2066 memory: 13723 grad_norm: 4.8217 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6743 loss: 0.6743 2022/08/09 21:29:40 - mmengine - INFO - Epoch(train) [83][1380/1879] lr: 2.0000e-03 eta: 5:31:52 time: 0.6609 data_time: 0.0154 memory: 13723 grad_norm: 4.9219 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7960 loss: 0.7960 2022/08/09 21:29:55 - mmengine - INFO - Epoch(train) [83][1400/1879] lr: 2.0000e-03 eta: 5:31:41 time: 0.7822 data_time: 0.1556 memory: 13723 grad_norm: 4.9514 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5680 loss: 0.5680 2022/08/09 21:30:11 - mmengine - INFO - Epoch(train) [83][1420/1879] lr: 2.0000e-03 eta: 5:31:29 time: 0.7754 data_time: 0.0619 memory: 13723 grad_norm: 4.8272 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5900 loss: 0.5900 2022/08/09 21:30:28 - mmengine - INFO - Epoch(train) [83][1440/1879] lr: 2.0000e-03 eta: 5:31:18 time: 0.8714 data_time: 0.3116 memory: 13723 grad_norm: 4.8017 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6507 loss: 0.6507 2022/08/09 21:30:44 - mmengine - INFO - Epoch(train) [83][1460/1879] lr: 2.0000e-03 eta: 5:31:06 time: 0.7719 data_time: 0.0560 memory: 13723 grad_norm: 4.7685 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6856 loss: 0.6856 2022/08/09 21:30:59 - mmengine - INFO - Epoch(train) [83][1480/1879] lr: 2.0000e-03 eta: 5:30:54 time: 0.7499 data_time: 0.0186 memory: 13723 grad_norm: 5.0736 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7457 loss: 0.7457 2022/08/09 21:31:14 - mmengine - INFO - Epoch(train) [83][1500/1879] lr: 2.0000e-03 eta: 5:30:43 time: 0.7713 data_time: 0.1604 memory: 13723 grad_norm: 4.9212 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6659 loss: 0.6659 2022/08/09 21:31:27 - mmengine - INFO - Epoch(train) [83][1520/1879] lr: 2.0000e-03 eta: 5:30:31 time: 0.6386 data_time: 0.0911 memory: 13723 grad_norm: 4.8702 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.5450 loss: 0.5450 2022/08/09 21:31:41 - mmengine - INFO - Epoch(train) [83][1540/1879] lr: 2.0000e-03 eta: 5:30:19 time: 0.7099 data_time: 0.0206 memory: 13723 grad_norm: 4.8486 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8328 loss: 0.8328 2022/08/09 21:31:56 - mmengine - INFO - Epoch(train) [83][1560/1879] lr: 2.0000e-03 eta: 5:30:07 time: 0.7381 data_time: 0.0203 memory: 13723 grad_norm: 4.8795 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6542 loss: 0.6542 2022/08/09 21:32:13 - mmengine - INFO - Epoch(train) [83][1580/1879] lr: 2.0000e-03 eta: 5:29:56 time: 0.8287 data_time: 0.0190 memory: 13723 grad_norm: 4.7996 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6472 loss: 0.6472 2022/08/09 21:32:26 - mmengine - INFO - Epoch(train) [83][1600/1879] lr: 2.0000e-03 eta: 5:29:44 time: 0.6914 data_time: 0.0179 memory: 13723 grad_norm: 4.8942 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6032 loss: 0.6032 2022/08/09 21:32:41 - mmengine - INFO - Epoch(train) [83][1620/1879] lr: 2.0000e-03 eta: 5:29:32 time: 0.7549 data_time: 0.0205 memory: 13723 grad_norm: 4.8526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7519 loss: 0.7519 2022/08/09 21:32:58 - mmengine - INFO - Epoch(train) [83][1640/1879] lr: 2.0000e-03 eta: 5:29:21 time: 0.8459 data_time: 0.1992 memory: 13723 grad_norm: 4.9442 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.6938 loss: 0.6938 2022/08/09 21:33:13 - mmengine - INFO - Epoch(train) [83][1660/1879] lr: 2.0000e-03 eta: 5:29:09 time: 0.7298 data_time: 0.0182 memory: 13723 grad_norm: 4.7012 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6153 loss: 0.6153 2022/08/09 21:33:29 - mmengine - INFO - Epoch(train) [83][1680/1879] lr: 2.0000e-03 eta: 5:28:57 time: 0.7758 data_time: 0.0193 memory: 13723 grad_norm: 4.7073 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6538 loss: 0.6538 2022/08/09 21:33:51 - mmengine - INFO - Epoch(train) [83][1700/1879] lr: 2.0000e-03 eta: 5:28:47 time: 1.1388 data_time: 0.0190 memory: 13723 grad_norm: 4.8433 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5651 loss: 0.5651 2022/08/09 21:34:06 - mmengine - INFO - Epoch(train) [83][1720/1879] lr: 2.0000e-03 eta: 5:28:35 time: 0.7547 data_time: 0.0190 memory: 13723 grad_norm: 4.8779 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5669 loss: 0.5669 2022/08/09 21:34:21 - mmengine - INFO - Epoch(train) [83][1740/1879] lr: 2.0000e-03 eta: 5:28:24 time: 0.7279 data_time: 0.0273 memory: 13723 grad_norm: 4.6711 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5920 loss: 0.5920 2022/08/09 21:34:36 - mmengine - INFO - Epoch(train) [83][1760/1879] lr: 2.0000e-03 eta: 5:28:12 time: 0.7457 data_time: 0.0623 memory: 13723 grad_norm: 4.8690 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5879 loss: 0.5879 2022/08/09 21:34:52 - mmengine - INFO - Epoch(train) [83][1780/1879] lr: 2.0000e-03 eta: 5:28:00 time: 0.8106 data_time: 0.2601 memory: 13723 grad_norm: 4.8645 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6044 loss: 0.6044 2022/08/09 21:35:10 - mmengine - INFO - Epoch(train) [83][1800/1879] lr: 2.0000e-03 eta: 5:27:49 time: 0.8962 data_time: 0.1564 memory: 13723 grad_norm: 4.8675 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5529 loss: 0.5529 2022/08/09 21:35:26 - mmengine - INFO - Epoch(train) [83][1820/1879] lr: 2.0000e-03 eta: 5:27:38 time: 0.8040 data_time: 0.0862 memory: 13723 grad_norm: 4.9215 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7639 loss: 0.7639 2022/08/09 21:35:42 - mmengine - INFO - Epoch(train) [83][1840/1879] lr: 2.0000e-03 eta: 5:27:26 time: 0.7863 data_time: 0.0186 memory: 13723 grad_norm: 4.8358 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6453 loss: 0.6453 2022/08/09 21:35:56 - mmengine - INFO - Epoch(train) [83][1860/1879] lr: 2.0000e-03 eta: 5:27:14 time: 0.7156 data_time: 0.0171 memory: 13723 grad_norm: 4.8638 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6895 loss: 0.6895 2022/08/09 21:36:11 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 21:36:11 - mmengine - INFO - Epoch(train) [83][1879/1879] lr: 2.0000e-03 eta: 5:27:14 time: 0.7670 data_time: 0.1875 memory: 13723 grad_norm: 4.9525 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.7901 loss: 0.7901 2022/08/09 21:36:25 - mmengine - INFO - Epoch(val) [83][20/155] eta: 0:01:33 time: 0.6906 data_time: 0.5539 memory: 1829 2022/08/09 21:36:33 - mmengine - INFO - Epoch(val) [83][40/155] eta: 0:00:44 time: 0.3884 data_time: 0.2442 memory: 1829 2022/08/09 21:36:45 - mmengine - INFO - Epoch(val) [83][60/155] eta: 0:00:59 time: 0.6281 data_time: 0.4906 memory: 1829 2022/08/09 21:36:55 - mmengine - INFO - Epoch(val) [83][80/155] eta: 0:00:36 time: 0.4811 data_time: 0.3438 memory: 1829 2022/08/09 21:37:08 - mmengine - INFO - Epoch(val) [83][100/155] eta: 0:00:36 time: 0.6669 data_time: 0.5290 memory: 1829 2022/08/09 21:37:17 - mmengine - INFO - Epoch(val) [83][120/155] eta: 0:00:15 time: 0.4405 data_time: 0.3050 memory: 1829 2022/08/09 21:37:28 - mmengine - INFO - Epoch(val) [83][140/155] eta: 0:00:07 time: 0.5271 data_time: 0.3916 memory: 1829 2022/08/09 21:37:59 - mmengine - INFO - Epoch(val) [83][155/155] acc/top1: 0.7089 acc/top5: 0.8951 acc/mean1: 0.7088 2022/08/09 21:38:17 - mmengine - INFO - Epoch(train) [84][20/1879] lr: 2.0000e-03 eta: 5:26:49 time: 0.9028 data_time: 0.2001 memory: 13723 grad_norm: 4.8936 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7596 loss: 0.7596 2022/08/09 21:38:32 - mmengine - INFO - Epoch(train) [84][40/1879] lr: 2.0000e-03 eta: 5:26:37 time: 0.7471 data_time: 0.1890 memory: 13723 grad_norm: 4.7496 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6249 loss: 0.6249 2022/08/09 21:38:34 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 21:38:44 - mmengine - INFO - Epoch(train) [84][60/1879] lr: 2.0000e-03 eta: 5:26:25 time: 0.6170 data_time: 0.0166 memory: 13723 grad_norm: 4.8226 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6823 loss: 0.6823 2022/08/09 21:38:59 - mmengine - INFO - Epoch(train) [84][80/1879] lr: 2.0000e-03 eta: 5:26:13 time: 0.7553 data_time: 0.0188 memory: 13723 grad_norm: 4.7725 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7389 loss: 0.7389 2022/08/09 21:39:13 - mmengine - INFO - Epoch(train) [84][100/1879] lr: 2.0000e-03 eta: 5:26:01 time: 0.6960 data_time: 0.0233 memory: 13723 grad_norm: 4.9226 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6542 loss: 0.6542 2022/08/09 21:39:26 - mmengine - INFO - Epoch(train) [84][120/1879] lr: 2.0000e-03 eta: 5:25:49 time: 0.6219 data_time: 0.0221 memory: 13723 grad_norm: 4.8013 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5597 loss: 0.5597 2022/08/09 21:39:38 - mmengine - INFO - Epoch(train) [84][140/1879] lr: 2.0000e-03 eta: 5:25:37 time: 0.6359 data_time: 0.0825 memory: 13723 grad_norm: 4.7916 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6929 loss: 0.6929 2022/08/09 21:39:52 - mmengine - INFO - Epoch(train) [84][160/1879] lr: 2.0000e-03 eta: 5:25:25 time: 0.7001 data_time: 0.1588 memory: 13723 grad_norm: 4.8365 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7079 loss: 0.7079 2022/08/09 21:40:04 - mmengine - INFO - Epoch(train) [84][180/1879] lr: 2.0000e-03 eta: 5:25:13 time: 0.5651 data_time: 0.0184 memory: 13723 grad_norm: 4.8752 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6873 loss: 0.6873 2022/08/09 21:40:20 - mmengine - INFO - Epoch(train) [84][200/1879] lr: 2.0000e-03 eta: 5:25:01 time: 0.8272 data_time: 0.2287 memory: 13723 grad_norm: 4.7511 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5521 loss: 0.5521 2022/08/09 21:40:36 - mmengine - INFO - Epoch(train) [84][220/1879] lr: 2.0000e-03 eta: 5:24:49 time: 0.7680 data_time: 0.0328 memory: 13723 grad_norm: 4.6570 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6012 loss: 0.6012 2022/08/09 21:40:49 - mmengine - INFO - Epoch(train) [84][240/1879] lr: 2.0000e-03 eta: 5:24:37 time: 0.6870 data_time: 0.0190 memory: 13723 grad_norm: 4.8653 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7039 loss: 0.7039 2022/08/09 21:41:13 - mmengine - INFO - Epoch(train) [84][260/1879] lr: 2.0000e-03 eta: 5:24:28 time: 1.1969 data_time: 0.0192 memory: 13723 grad_norm: 4.7101 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.5444 loss: 0.5444 2022/08/09 21:41:26 - mmengine - INFO - Epoch(train) [84][280/1879] lr: 2.0000e-03 eta: 5:24:15 time: 0.6337 data_time: 0.0199 memory: 13723 grad_norm: 4.8419 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6797 loss: 0.6797 2022/08/09 21:41:39 - mmengine - INFO - Epoch(train) [84][300/1879] lr: 2.0000e-03 eta: 5:24:03 time: 0.6358 data_time: 0.0435 memory: 13723 grad_norm: 4.7431 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6832 loss: 0.6832 2022/08/09 21:41:54 - mmengine - INFO - Epoch(train) [84][320/1879] lr: 2.0000e-03 eta: 5:23:51 time: 0.7349 data_time: 0.1602 memory: 13723 grad_norm: 4.8221 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6523 loss: 0.6523 2022/08/09 21:42:06 - mmengine - INFO - Epoch(train) [84][340/1879] lr: 2.0000e-03 eta: 5:23:39 time: 0.6246 data_time: 0.0727 memory: 13723 grad_norm: 4.9661 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6682 loss: 0.6682 2022/08/09 21:42:20 - mmengine - INFO - Epoch(train) [84][360/1879] lr: 2.0000e-03 eta: 5:23:27 time: 0.7020 data_time: 0.1147 memory: 13723 grad_norm: 4.8799 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5700 loss: 0.5700 2022/08/09 21:42:36 - mmengine - INFO - Epoch(train) [84][380/1879] lr: 2.0000e-03 eta: 5:23:16 time: 0.7893 data_time: 0.0169 memory: 13723 grad_norm: 4.7511 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7660 loss: 0.7660 2022/08/09 21:42:48 - mmengine - INFO - Epoch(train) [84][400/1879] lr: 2.0000e-03 eta: 5:23:03 time: 0.5798 data_time: 0.0230 memory: 13723 grad_norm: 4.5886 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5559 loss: 0.5559 2022/08/09 21:43:02 - mmengine - INFO - Epoch(train) [84][420/1879] lr: 2.0000e-03 eta: 5:22:51 time: 0.7167 data_time: 0.0214 memory: 13723 grad_norm: 5.1000 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8035 loss: 0.8035 2022/08/09 21:43:18 - mmengine - INFO - Epoch(train) [84][440/1879] lr: 2.0000e-03 eta: 5:22:40 time: 0.8253 data_time: 0.0197 memory: 13723 grad_norm: 4.9829 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 0.7208 loss: 0.7208 2022/08/09 21:43:30 - mmengine - INFO - Epoch(train) [84][460/1879] lr: 2.0000e-03 eta: 5:22:27 time: 0.6015 data_time: 0.0225 memory: 13723 grad_norm: 4.7569 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5041 loss: 0.5041 2022/08/09 21:43:45 - mmengine - INFO - Epoch(train) [84][480/1879] lr: 2.0000e-03 eta: 5:22:16 time: 0.7296 data_time: 0.0251 memory: 13723 grad_norm: 4.8349 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7149 loss: 0.7149 2022/08/09 21:43:59 - mmengine - INFO - Epoch(train) [84][500/1879] lr: 2.0000e-03 eta: 5:22:04 time: 0.6746 data_time: 0.0183 memory: 13723 grad_norm: 4.7104 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4860 loss: 0.4860 2022/08/09 21:44:12 - mmengine - INFO - Epoch(train) [84][520/1879] lr: 2.0000e-03 eta: 5:21:52 time: 0.6773 data_time: 0.0821 memory: 13723 grad_norm: 4.8989 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6350 loss: 0.6350 2022/08/09 21:44:24 - mmengine - INFO - Epoch(train) [84][540/1879] lr: 2.0000e-03 eta: 5:21:39 time: 0.5827 data_time: 0.0254 memory: 13723 grad_norm: 4.9681 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7275 loss: 0.7275 2022/08/09 21:44:39 - mmengine - INFO - Epoch(train) [84][560/1879] lr: 2.0000e-03 eta: 5:21:27 time: 0.7540 data_time: 0.0282 memory: 13723 grad_norm: 4.9835 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7114 loss: 0.7114 2022/08/09 21:44:52 - mmengine - INFO - Epoch(train) [84][580/1879] lr: 2.0000e-03 eta: 5:21:15 time: 0.6408 data_time: 0.0216 memory: 13723 grad_norm: 4.7557 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6458 loss: 0.6458 2022/08/09 21:45:06 - mmengine - INFO - Epoch(train) [84][600/1879] lr: 2.0000e-03 eta: 5:21:03 time: 0.7259 data_time: 0.0188 memory: 13723 grad_norm: 4.8223 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6377 loss: 0.6377 2022/08/09 21:45:24 - mmengine - INFO - Epoch(train) [84][620/1879] lr: 2.0000e-03 eta: 5:20:52 time: 0.8992 data_time: 0.0793 memory: 13723 grad_norm: 5.0517 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.6707 loss: 0.6707 2022/08/09 21:45:36 - mmengine - INFO - Epoch(train) [84][640/1879] lr: 2.0000e-03 eta: 5:20:40 time: 0.5821 data_time: 0.0217 memory: 13723 grad_norm: 4.8456 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5774 loss: 0.5774 2022/08/09 21:45:52 - mmengine - INFO - Epoch(train) [84][660/1879] lr: 2.0000e-03 eta: 5:20:28 time: 0.7893 data_time: 0.0197 memory: 13723 grad_norm: 4.6787 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5625 loss: 0.5625 2022/08/09 21:46:07 - mmengine - INFO - Epoch(train) [84][680/1879] lr: 2.0000e-03 eta: 5:20:16 time: 0.7595 data_time: 0.0200 memory: 13723 grad_norm: 4.6448 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7276 loss: 0.7276 2022/08/09 21:46:19 - mmengine - INFO - Epoch(train) [84][700/1879] lr: 2.0000e-03 eta: 5:20:04 time: 0.6099 data_time: 0.0193 memory: 13723 grad_norm: 4.8402 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5081 loss: 0.5081 2022/08/09 21:46:38 - mmengine - INFO - Epoch(train) [84][720/1879] lr: 2.0000e-03 eta: 5:19:53 time: 0.9500 data_time: 0.0206 memory: 13723 grad_norm: 4.7767 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4870 loss: 0.4870 2022/08/09 21:46:50 - mmengine - INFO - Epoch(train) [84][740/1879] lr: 2.0000e-03 eta: 5:19:41 time: 0.5910 data_time: 0.0264 memory: 13723 grad_norm: 5.0459 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8043 loss: 0.8043 2022/08/09 21:47:05 - mmengine - INFO - Epoch(train) [84][760/1879] lr: 2.0000e-03 eta: 5:19:29 time: 0.7639 data_time: 0.0176 memory: 13723 grad_norm: 4.9611 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6849 loss: 0.6849 2022/08/09 21:47:22 - mmengine - INFO - Epoch(train) [84][780/1879] lr: 2.0000e-03 eta: 5:19:18 time: 0.8126 data_time: 0.0218 memory: 13723 grad_norm: 4.7624 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7099 loss: 0.7099 2022/08/09 21:47:39 - mmengine - INFO - Epoch(train) [84][800/1879] lr: 2.0000e-03 eta: 5:19:06 time: 0.8723 data_time: 0.0171 memory: 13723 grad_norm: 4.9791 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7821 loss: 0.7821 2022/08/09 21:47:52 - mmengine - INFO - Epoch(train) [84][820/1879] lr: 2.0000e-03 eta: 5:18:54 time: 0.6310 data_time: 0.0271 memory: 13723 grad_norm: 4.8535 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6043 loss: 0.6043 2022/08/09 21:48:06 - mmengine - INFO - Epoch(train) [84][840/1879] lr: 2.0000e-03 eta: 5:18:42 time: 0.7320 data_time: 0.1605 memory: 13723 grad_norm: 4.8812 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5686 loss: 0.5686 2022/08/09 21:48:19 - mmengine - INFO - Epoch(train) [84][860/1879] lr: 2.0000e-03 eta: 5:18:30 time: 0.6560 data_time: 0.1022 memory: 13723 grad_norm: 4.7606 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5917 loss: 0.5917 2022/08/09 21:48:33 - mmengine - INFO - Epoch(train) [84][880/1879] lr: 2.0000e-03 eta: 5:18:18 time: 0.6812 data_time: 0.0283 memory: 13723 grad_norm: 4.9346 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6808 loss: 0.6808 2022/08/09 21:48:46 - mmengine - INFO - Epoch(train) [84][900/1879] lr: 2.0000e-03 eta: 5:18:06 time: 0.6439 data_time: 0.0232 memory: 13723 grad_norm: 4.8647 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7592 loss: 0.7592 2022/08/09 21:49:00 - mmengine - INFO - Epoch(train) [84][920/1879] lr: 2.0000e-03 eta: 5:17:54 time: 0.6797 data_time: 0.0234 memory: 13723 grad_norm: 4.8116 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6785 loss: 0.6785 2022/08/09 21:49:13 - mmengine - INFO - Epoch(train) [84][940/1879] lr: 2.0000e-03 eta: 5:17:42 time: 0.6591 data_time: 0.0696 memory: 13723 grad_norm: 4.9106 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6102 loss: 0.6102 2022/08/09 21:49:36 - mmengine - INFO - Epoch(train) [84][960/1879] lr: 2.0000e-03 eta: 5:17:32 time: 1.1767 data_time: 0.0167 memory: 13723 grad_norm: 4.9981 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6545 loss: 0.6545 2022/08/09 21:49:54 - mmengine - INFO - Epoch(train) [84][980/1879] lr: 2.0000e-03 eta: 5:17:20 time: 0.8966 data_time: 0.0195 memory: 13723 grad_norm: 4.8992 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.5739 loss: 0.5739 2022/08/09 21:50:08 - mmengine - INFO - Epoch(train) [84][1000/1879] lr: 2.0000e-03 eta: 5:17:08 time: 0.6705 data_time: 0.0204 memory: 13723 grad_norm: 5.0124 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7215 loss: 0.7215 2022/08/09 21:50:21 - mmengine - INFO - Epoch(train) [84][1020/1879] lr: 2.0000e-03 eta: 5:16:56 time: 0.6688 data_time: 0.0332 memory: 13723 grad_norm: 4.7025 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5316 loss: 0.5316 2022/08/09 21:50:36 - mmengine - INFO - Epoch(train) [84][1040/1879] lr: 2.0000e-03 eta: 5:16:44 time: 0.7259 data_time: 0.0202 memory: 13723 grad_norm: 4.7884 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6081 loss: 0.6081 2022/08/09 21:50:39 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 21:50:53 - mmengine - INFO - Epoch(train) [84][1060/1879] lr: 2.0000e-03 eta: 5:16:33 time: 0.8617 data_time: 0.0218 memory: 13723 grad_norm: 4.7639 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6471 loss: 0.6471 2022/08/09 21:51:06 - mmengine - INFO - Epoch(train) [84][1080/1879] lr: 2.0000e-03 eta: 5:16:21 time: 0.6649 data_time: 0.1053 memory: 13723 grad_norm: 5.0248 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7616 loss: 0.7616 2022/08/09 21:51:19 - mmengine - INFO - Epoch(train) [84][1100/1879] lr: 2.0000e-03 eta: 5:16:09 time: 0.6525 data_time: 0.1048 memory: 13723 grad_norm: 5.0551 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6545 loss: 0.6545 2022/08/09 21:51:35 - mmengine - INFO - Epoch(train) [84][1120/1879] lr: 2.0000e-03 eta: 5:15:57 time: 0.7706 data_time: 0.0398 memory: 13723 grad_norm: 4.7687 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7385 loss: 0.7385 2022/08/09 21:51:47 - mmengine - INFO - Epoch(train) [84][1140/1879] lr: 2.0000e-03 eta: 5:15:45 time: 0.5935 data_time: 0.0256 memory: 13723 grad_norm: 4.7676 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7696 loss: 0.7696 2022/08/09 21:52:03 - mmengine - INFO - Epoch(train) [84][1160/1879] lr: 2.0000e-03 eta: 5:15:33 time: 0.8159 data_time: 0.0185 memory: 13723 grad_norm: 4.9199 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6986 loss: 0.6986 2022/08/09 21:52:17 - mmengine - INFO - Epoch(train) [84][1180/1879] lr: 2.0000e-03 eta: 5:15:21 time: 0.7233 data_time: 0.0678 memory: 13723 grad_norm: 5.1023 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6866 loss: 0.6866 2022/08/09 21:52:29 - mmengine - INFO - Epoch(train) [84][1200/1879] lr: 2.0000e-03 eta: 5:15:09 time: 0.5740 data_time: 0.0181 memory: 13723 grad_norm: 4.8685 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6116 loss: 0.6116 2022/08/09 21:52:42 - mmengine - INFO - Epoch(train) [84][1220/1879] lr: 2.0000e-03 eta: 5:14:57 time: 0.6587 data_time: 0.0788 memory: 13723 grad_norm: 5.0351 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6851 loss: 0.6851 2022/08/09 21:52:55 - mmengine - INFO - Epoch(train) [84][1240/1879] lr: 2.0000e-03 eta: 5:14:45 time: 0.6653 data_time: 0.0195 memory: 13723 grad_norm: 4.6780 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6122 loss: 0.6122 2022/08/09 21:53:10 - mmengine - INFO - Epoch(train) [84][1260/1879] lr: 2.0000e-03 eta: 5:14:33 time: 0.7360 data_time: 0.1739 memory: 13723 grad_norm: 4.8913 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6805 loss: 0.6805 2022/08/09 21:53:25 - mmengine - INFO - Epoch(train) [84][1280/1879] lr: 2.0000e-03 eta: 5:14:21 time: 0.7253 data_time: 0.1769 memory: 13723 grad_norm: 5.0955 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8031 loss: 0.8031 2022/08/09 21:53:39 - mmengine - INFO - Epoch(train) [84][1300/1879] lr: 2.0000e-03 eta: 5:14:09 time: 0.7247 data_time: 0.1763 memory: 13723 grad_norm: 4.9918 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6920 loss: 0.6920 2022/08/09 21:53:51 - mmengine - INFO - Epoch(train) [84][1320/1879] lr: 2.0000e-03 eta: 5:13:57 time: 0.5887 data_time: 0.0232 memory: 13723 grad_norm: 5.1643 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7087 loss: 0.7087 2022/08/09 21:54:06 - mmengine - INFO - Epoch(train) [84][1340/1879] lr: 2.0000e-03 eta: 5:13:45 time: 0.7619 data_time: 0.0239 memory: 13723 grad_norm: 4.7937 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5650 loss: 0.5650 2022/08/09 21:54:23 - mmengine - INFO - Epoch(train) [84][1360/1879] lr: 2.0000e-03 eta: 5:13:34 time: 0.8415 data_time: 0.0183 memory: 13723 grad_norm: 4.7770 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5449 loss: 0.5449 2022/08/09 21:54:36 - mmengine - INFO - Epoch(train) [84][1380/1879] lr: 2.0000e-03 eta: 5:13:21 time: 0.6693 data_time: 0.0207 memory: 13723 grad_norm: 4.8670 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6922 loss: 0.6922 2022/08/09 21:54:51 - mmengine - INFO - Epoch(train) [84][1400/1879] lr: 2.0000e-03 eta: 5:13:10 time: 0.7280 data_time: 0.0195 memory: 13723 grad_norm: 5.0309 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6385 loss: 0.6385 2022/08/09 21:55:03 - mmengine - INFO - Epoch(train) [84][1420/1879] lr: 2.0000e-03 eta: 5:12:57 time: 0.6141 data_time: 0.0242 memory: 13723 grad_norm: 4.7655 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6949 loss: 0.6949 2022/08/09 21:55:18 - mmengine - INFO - Epoch(train) [84][1440/1879] lr: 2.0000e-03 eta: 5:12:45 time: 0.7179 data_time: 0.0179 memory: 13723 grad_norm: 4.7668 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6883 loss: 0.6883 2022/08/09 21:55:31 - mmengine - INFO - Epoch(train) [84][1460/1879] lr: 2.0000e-03 eta: 5:12:33 time: 0.6479 data_time: 0.0243 memory: 13723 grad_norm: 5.0110 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7028 loss: 0.7028 2022/08/09 21:55:43 - mmengine - INFO - Epoch(train) [84][1480/1879] lr: 2.0000e-03 eta: 5:12:21 time: 0.6269 data_time: 0.0557 memory: 13723 grad_norm: 4.9113 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7195 loss: 0.7195 2022/08/09 21:56:00 - mmengine - INFO - Epoch(train) [84][1500/1879] lr: 2.0000e-03 eta: 5:12:09 time: 0.8294 data_time: 0.0333 memory: 13723 grad_norm: 4.9278 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7893 loss: 0.7893 2022/08/09 21:56:15 - mmengine - INFO - Epoch(train) [84][1520/1879] lr: 2.0000e-03 eta: 5:11:58 time: 0.7782 data_time: 0.0195 memory: 13723 grad_norm: 5.0144 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7232 loss: 0.7232 2022/08/09 21:56:30 - mmengine - INFO - Epoch(train) [84][1540/1879] lr: 2.0000e-03 eta: 5:11:46 time: 0.7261 data_time: 0.0189 memory: 13723 grad_norm: 4.7834 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7130 loss: 0.7130 2022/08/09 21:56:43 - mmengine - INFO - Epoch(train) [84][1560/1879] lr: 2.0000e-03 eta: 5:11:34 time: 0.6584 data_time: 0.0215 memory: 13723 grad_norm: 4.9046 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7639 loss: 0.7639 2022/08/09 21:56:55 - mmengine - INFO - Epoch(train) [84][1580/1879] lr: 2.0000e-03 eta: 5:11:21 time: 0.5828 data_time: 0.0242 memory: 13723 grad_norm: 4.8812 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7057 loss: 0.7057 2022/08/09 21:57:07 - mmengine - INFO - Epoch(train) [84][1600/1879] lr: 2.0000e-03 eta: 5:11:09 time: 0.6028 data_time: 0.0220 memory: 13723 grad_norm: 4.8743 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5280 loss: 0.5280 2022/08/09 21:57:19 - mmengine - INFO - Epoch(train) [84][1620/1879] lr: 2.0000e-03 eta: 5:10:57 time: 0.5951 data_time: 0.0277 memory: 13723 grad_norm: 4.7161 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7203 loss: 0.7203 2022/08/09 21:57:31 - mmengine - INFO - Epoch(train) [84][1640/1879] lr: 2.0000e-03 eta: 5:10:44 time: 0.5919 data_time: 0.0264 memory: 13723 grad_norm: 4.9514 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6248 loss: 0.6248 2022/08/09 21:57:45 - mmengine - INFO - Epoch(train) [84][1660/1879] lr: 2.0000e-03 eta: 5:10:32 time: 0.7002 data_time: 0.0233 memory: 13723 grad_norm: 4.8357 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7199 loss: 0.7199 2022/08/09 21:57:58 - mmengine - INFO - Epoch(train) [84][1680/1879] lr: 2.0000e-03 eta: 5:10:20 time: 0.6604 data_time: 0.0264 memory: 13723 grad_norm: 4.7330 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7757 loss: 0.7757 2022/08/09 21:58:10 - mmengine - INFO - Epoch(train) [84][1700/1879] lr: 2.0000e-03 eta: 5:10:08 time: 0.6182 data_time: 0.0232 memory: 13723 grad_norm: 4.9785 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8013 loss: 0.8013 2022/08/09 21:58:24 - mmengine - INFO - Epoch(train) [84][1720/1879] lr: 2.0000e-03 eta: 5:09:56 time: 0.6686 data_time: 0.0206 memory: 13723 grad_norm: 4.7626 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5929 loss: 0.5929 2022/08/09 21:58:39 - mmengine - INFO - Epoch(train) [84][1740/1879] lr: 2.0000e-03 eta: 5:09:44 time: 0.7728 data_time: 0.0231 memory: 13723 grad_norm: 5.0049 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7814 loss: 0.7814 2022/08/09 21:58:51 - mmengine - INFO - Epoch(train) [84][1760/1879] lr: 2.0000e-03 eta: 5:09:32 time: 0.5878 data_time: 0.0195 memory: 13723 grad_norm: 4.8354 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6305 loss: 0.6305 2022/08/09 21:59:03 - mmengine - INFO - Epoch(train) [84][1780/1879] lr: 2.0000e-03 eta: 5:09:19 time: 0.5864 data_time: 0.0266 memory: 13723 grad_norm: 5.0108 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7156 loss: 0.7156 2022/08/09 21:59:18 - mmengine - INFO - Epoch(train) [84][1800/1879] lr: 2.0000e-03 eta: 5:09:07 time: 0.7423 data_time: 0.0174 memory: 13723 grad_norm: 4.7225 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4546 loss: 0.4546 2022/08/09 21:59:30 - mmengine - INFO - Epoch(train) [84][1820/1879] lr: 2.0000e-03 eta: 5:08:55 time: 0.6414 data_time: 0.0261 memory: 13723 grad_norm: 4.7754 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6657 loss: 0.6657 2022/08/09 21:59:42 - mmengine - INFO - Epoch(train) [84][1840/1879] lr: 2.0000e-03 eta: 5:08:43 time: 0.5773 data_time: 0.0188 memory: 13723 grad_norm: 4.9394 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6284 loss: 0.6284 2022/08/09 21:59:55 - mmengine - INFO - Epoch(train) [84][1860/1879] lr: 2.0000e-03 eta: 5:08:30 time: 0.6430 data_time: 0.0844 memory: 13723 grad_norm: 4.9387 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6322 loss: 0.6322 2022/08/09 22:00:05 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 22:00:05 - mmengine - INFO - Epoch(train) [84][1879/1879] lr: 2.0000e-03 eta: 5:08:30 time: 0.5446 data_time: 0.0140 memory: 13723 grad_norm: 4.8876 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.6931 loss: 0.6931 2022/08/09 22:00:05 - mmengine - INFO - Saving checkpoint at 84 epochs 2022/08/09 22:00:23 - mmengine - INFO - Epoch(val) [84][20/155] eta: 0:01:41 time: 0.7521 data_time: 0.6127 memory: 1829 2022/08/09 22:00:35 - mmengine - INFO - Epoch(val) [84][40/155] eta: 0:01:08 time: 0.5934 data_time: 0.4550 memory: 1829 2022/08/09 22:00:45 - mmengine - INFO - Epoch(val) [84][60/155] eta: 0:00:49 time: 0.5235 data_time: 0.3866 memory: 1829 2022/08/09 22:00:55 - mmengine - INFO - Epoch(val) [84][80/155] eta: 0:00:38 time: 0.5129 data_time: 0.3758 memory: 1829 2022/08/09 22:01:10 - mmengine - INFO - Epoch(val) [84][100/155] eta: 0:00:39 time: 0.7112 data_time: 0.5723 memory: 1829 2022/08/09 22:01:19 - mmengine - INFO - Epoch(val) [84][120/155] eta: 0:00:17 time: 0.4920 data_time: 0.3508 memory: 1829 2022/08/09 22:01:32 - mmengine - INFO - Epoch(val) [84][140/155] eta: 0:00:09 time: 0.6394 data_time: 0.5028 memory: 1829 2022/08/09 22:01:44 - mmengine - INFO - Epoch(val) [84][155/155] acc/top1: 0.7075 acc/top5: 0.8924 acc/mean1: 0.7074 2022/08/09 22:02:04 - mmengine - INFO - Epoch(train) [85][20/1879] lr: 2.0000e-03 eta: 5:08:06 time: 0.9729 data_time: 0.2635 memory: 13723 grad_norm: 4.7867 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6486 loss: 0.6486 2022/08/09 22:02:15 - mmengine - INFO - Epoch(train) [85][40/1879] lr: 2.0000e-03 eta: 5:07:53 time: 0.5712 data_time: 0.0214 memory: 13723 grad_norm: 4.9751 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7756 loss: 0.7756 2022/08/09 22:02:27 - mmengine - INFO - Epoch(train) [85][60/1879] lr: 2.0000e-03 eta: 5:07:41 time: 0.5997 data_time: 0.0221 memory: 13723 grad_norm: 4.9300 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7027 loss: 0.7027 2022/08/09 22:02:40 - mmengine - INFO - Epoch(train) [85][80/1879] lr: 2.0000e-03 eta: 5:07:29 time: 0.6513 data_time: 0.0235 memory: 13723 grad_norm: 4.9094 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6164 loss: 0.6164 2022/08/09 22:02:55 - mmengine - INFO - Epoch(train) [85][100/1879] lr: 2.0000e-03 eta: 5:07:17 time: 0.7067 data_time: 0.0228 memory: 13723 grad_norm: 4.6959 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4532 loss: 0.4532 2022/08/09 22:03:06 - mmengine - INFO - Epoch(train) [85][120/1879] lr: 2.0000e-03 eta: 5:07:04 time: 0.5935 data_time: 0.0215 memory: 13723 grad_norm: 4.9749 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5844 loss: 0.5844 2022/08/09 22:03:18 - mmengine - INFO - Epoch(train) [85][140/1879] lr: 2.0000e-03 eta: 5:06:52 time: 0.6005 data_time: 0.0268 memory: 13723 grad_norm: 4.7171 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6477 loss: 0.6477 2022/08/09 22:03:34 - mmengine - INFO - Epoch(train) [85][160/1879] lr: 2.0000e-03 eta: 5:06:40 time: 0.7959 data_time: 0.2281 memory: 13723 grad_norm: 4.8885 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6187 loss: 0.6187 2022/08/09 22:03:37 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 22:03:46 - mmengine - INFO - Epoch(train) [85][180/1879] lr: 2.0000e-03 eta: 5:06:28 time: 0.5776 data_time: 0.0226 memory: 13723 grad_norm: 4.9340 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5616 loss: 0.5616 2022/08/09 22:04:00 - mmengine - INFO - Epoch(train) [85][200/1879] lr: 2.0000e-03 eta: 5:06:16 time: 0.6833 data_time: 0.0204 memory: 13723 grad_norm: 4.8961 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6465 loss: 0.6465 2022/08/09 22:04:12 - mmengine - INFO - Epoch(train) [85][220/1879] lr: 2.0000e-03 eta: 5:06:04 time: 0.6354 data_time: 0.0244 memory: 13723 grad_norm: 4.9770 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7286 loss: 0.7286 2022/08/09 22:04:25 - mmengine - INFO - Epoch(train) [85][240/1879] lr: 2.0000e-03 eta: 5:05:51 time: 0.6558 data_time: 0.0186 memory: 13723 grad_norm: 5.0826 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5972 loss: 0.5972 2022/08/09 22:04:46 - mmengine - INFO - Epoch(train) [85][260/1879] lr: 2.0000e-03 eta: 5:05:41 time: 1.0039 data_time: 0.0573 memory: 13723 grad_norm: 4.9036 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5140 loss: 0.5140 2022/08/09 22:04:57 - mmengine - INFO - Epoch(train) [85][280/1879] lr: 2.0000e-03 eta: 5:05:28 time: 0.5868 data_time: 0.0236 memory: 13723 grad_norm: 4.9040 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5687 loss: 0.5687 2022/08/09 22:05:12 - mmengine - INFO - Epoch(train) [85][300/1879] lr: 2.0000e-03 eta: 5:05:16 time: 0.7435 data_time: 0.0179 memory: 13723 grad_norm: 4.8074 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6075 loss: 0.6075 2022/08/09 22:05:25 - mmengine - INFO - Epoch(train) [85][320/1879] lr: 2.0000e-03 eta: 5:05:04 time: 0.6421 data_time: 0.0238 memory: 13723 grad_norm: 4.9287 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6919 loss: 0.6919 2022/08/09 22:05:41 - mmengine - INFO - Epoch(train) [85][340/1879] lr: 2.0000e-03 eta: 5:04:52 time: 0.7739 data_time: 0.0196 memory: 13723 grad_norm: 4.6746 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5452 loss: 0.5452 2022/08/09 22:05:52 - mmengine - INFO - Epoch(train) [85][360/1879] lr: 2.0000e-03 eta: 5:04:40 time: 0.5947 data_time: 0.0238 memory: 13723 grad_norm: 4.7058 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6115 loss: 0.6115 2022/08/09 22:06:05 - mmengine - INFO - Epoch(train) [85][380/1879] lr: 2.0000e-03 eta: 5:04:28 time: 0.6303 data_time: 0.0528 memory: 13723 grad_norm: 4.9639 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6341 loss: 0.6341 2022/08/09 22:06:18 - mmengine - INFO - Epoch(train) [85][400/1879] lr: 2.0000e-03 eta: 5:04:16 time: 0.6559 data_time: 0.0205 memory: 13723 grad_norm: 4.8264 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5797 loss: 0.5797 2022/08/09 22:06:34 - mmengine - INFO - Epoch(train) [85][420/1879] lr: 2.0000e-03 eta: 5:04:04 time: 0.7733 data_time: 0.0205 memory: 13723 grad_norm: 4.9165 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6635 loss: 0.6635 2022/08/09 22:06:48 - mmengine - INFO - Epoch(train) [85][440/1879] lr: 2.0000e-03 eta: 5:03:52 time: 0.6899 data_time: 0.0201 memory: 13723 grad_norm: 4.7783 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5886 loss: 0.5886 2022/08/09 22:07:03 - mmengine - INFO - Epoch(train) [85][460/1879] lr: 2.0000e-03 eta: 5:03:40 time: 0.7731 data_time: 0.0156 memory: 13723 grad_norm: 4.9493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5695 loss: 0.5695 2022/08/09 22:07:15 - mmengine - INFO - Epoch(train) [85][480/1879] lr: 2.0000e-03 eta: 5:03:28 time: 0.5924 data_time: 0.0413 memory: 13723 grad_norm: 4.8138 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6643 loss: 0.6643 2022/08/09 22:07:29 - mmengine - INFO - Epoch(train) [85][500/1879] lr: 2.0000e-03 eta: 5:03:16 time: 0.7056 data_time: 0.0573 memory: 13723 grad_norm: 4.8876 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5710 loss: 0.5710 2022/08/09 22:07:42 - mmengine - INFO - Epoch(train) [85][520/1879] lr: 2.0000e-03 eta: 5:03:04 time: 0.6643 data_time: 0.0244 memory: 13723 grad_norm: 4.8681 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7027 loss: 0.7027 2022/08/09 22:07:58 - mmengine - INFO - Epoch(train) [85][540/1879] lr: 2.0000e-03 eta: 5:02:52 time: 0.7891 data_time: 0.0283 memory: 13723 grad_norm: 4.7987 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5811 loss: 0.5811 2022/08/09 22:08:12 - mmengine - INFO - Epoch(train) [85][560/1879] lr: 2.0000e-03 eta: 5:02:40 time: 0.6951 data_time: 0.0503 memory: 13723 grad_norm: 4.7931 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6150 loss: 0.6150 2022/08/09 22:08:25 - mmengine - INFO - Epoch(train) [85][580/1879] lr: 2.0000e-03 eta: 5:02:28 time: 0.6373 data_time: 0.0210 memory: 13723 grad_norm: 4.9411 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7642 loss: 0.7642 2022/08/09 22:08:44 - mmengine - INFO - Epoch(train) [85][600/1879] lr: 2.0000e-03 eta: 5:02:17 time: 0.9472 data_time: 0.4028 memory: 13723 grad_norm: 4.8525 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6807 loss: 0.6807 2022/08/09 22:08:55 - mmengine - INFO - Epoch(train) [85][620/1879] lr: 2.0000e-03 eta: 5:02:04 time: 0.5717 data_time: 0.0229 memory: 13723 grad_norm: 5.0299 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7416 loss: 0.7416 2022/08/09 22:09:11 - mmengine - INFO - Epoch(train) [85][640/1879] lr: 2.0000e-03 eta: 5:01:53 time: 0.7853 data_time: 0.1476 memory: 13723 grad_norm: 4.8730 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5616 loss: 0.5616 2022/08/09 22:09:24 - mmengine - INFO - Epoch(train) [85][660/1879] lr: 2.0000e-03 eta: 5:01:40 time: 0.6388 data_time: 0.0973 memory: 13723 grad_norm: 4.9531 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6315 loss: 0.6315 2022/08/09 22:09:35 - mmengine - INFO - Epoch(train) [85][680/1879] lr: 2.0000e-03 eta: 5:01:28 time: 0.5667 data_time: 0.0208 memory: 13723 grad_norm: 5.0415 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6950 loss: 0.6950 2022/08/09 22:09:50 - mmengine - INFO - Epoch(train) [85][700/1879] lr: 2.0000e-03 eta: 5:01:16 time: 0.7503 data_time: 0.2088 memory: 13723 grad_norm: 5.0390 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7146 loss: 0.7146 2022/08/09 22:10:01 - mmengine - INFO - Epoch(train) [85][720/1879] lr: 2.0000e-03 eta: 5:01:03 time: 0.5699 data_time: 0.0208 memory: 13723 grad_norm: 4.9265 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6030 loss: 0.6030 2022/08/09 22:10:18 - mmengine - INFO - Epoch(train) [85][740/1879] lr: 2.0000e-03 eta: 5:00:52 time: 0.8265 data_time: 0.0230 memory: 13723 grad_norm: 4.7967 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6229 loss: 0.6229 2022/08/09 22:10:30 - mmengine - INFO - Epoch(train) [85][760/1879] lr: 2.0000e-03 eta: 5:00:40 time: 0.5763 data_time: 0.0230 memory: 13723 grad_norm: 5.0174 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6795 loss: 0.6795 2022/08/09 22:10:43 - mmengine - INFO - Epoch(train) [85][780/1879] lr: 2.0000e-03 eta: 5:00:27 time: 0.6906 data_time: 0.0241 memory: 13723 grad_norm: 5.0128 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5663 loss: 0.5663 2022/08/09 22:10:55 - mmengine - INFO - Epoch(train) [85][800/1879] lr: 2.0000e-03 eta: 5:00:15 time: 0.5689 data_time: 0.0209 memory: 13723 grad_norm: 5.0716 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7037 loss: 0.7037 2022/08/09 22:11:11 - mmengine - INFO - Epoch(train) [85][820/1879] lr: 2.0000e-03 eta: 5:00:03 time: 0.8169 data_time: 0.0219 memory: 13723 grad_norm: 4.8508 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5751 loss: 0.5751 2022/08/09 22:11:23 - mmengine - INFO - Epoch(train) [85][840/1879] lr: 2.0000e-03 eta: 4:59:51 time: 0.5802 data_time: 0.0300 memory: 13723 grad_norm: 4.7067 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4739 loss: 0.4739 2022/08/09 22:11:38 - mmengine - INFO - Epoch(train) [85][860/1879] lr: 2.0000e-03 eta: 4:59:39 time: 0.7612 data_time: 0.1468 memory: 13723 grad_norm: 4.8588 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6923 loss: 0.6923 2022/08/09 22:11:52 - mmengine - INFO - Epoch(train) [85][880/1879] lr: 2.0000e-03 eta: 4:59:27 time: 0.6764 data_time: 0.0210 memory: 13723 grad_norm: 4.9029 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6481 loss: 0.6481 2022/08/09 22:12:07 - mmengine - INFO - Epoch(train) [85][900/1879] lr: 2.0000e-03 eta: 4:59:15 time: 0.7939 data_time: 0.2128 memory: 13723 grad_norm: 5.1669 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6680 loss: 0.6680 2022/08/09 22:12:21 - mmengine - INFO - Epoch(train) [85][920/1879] lr: 2.0000e-03 eta: 4:59:03 time: 0.6830 data_time: 0.1397 memory: 13723 grad_norm: 4.9479 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6786 loss: 0.6786 2022/08/09 22:12:34 - mmengine - INFO - Epoch(train) [85][940/1879] lr: 2.0000e-03 eta: 4:58:51 time: 0.6310 data_time: 0.0813 memory: 13723 grad_norm: 4.8921 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6209 loss: 0.6209 2022/08/09 22:12:46 - mmengine - INFO - Epoch(train) [85][960/1879] lr: 2.0000e-03 eta: 4:58:39 time: 0.5870 data_time: 0.0397 memory: 13723 grad_norm: 4.8178 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5531 loss: 0.5531 2022/08/09 22:13:00 - mmengine - INFO - Epoch(train) [85][980/1879] lr: 2.0000e-03 eta: 4:58:27 time: 0.7052 data_time: 0.1675 memory: 13723 grad_norm: 4.8419 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7068 loss: 0.7068 2022/08/09 22:13:12 - mmengine - INFO - Epoch(train) [85][1000/1879] lr: 2.0000e-03 eta: 4:58:14 time: 0.6280 data_time: 0.0598 memory: 13723 grad_norm: 4.9561 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7475 loss: 0.7475 2022/08/09 22:13:25 - mmengine - INFO - Epoch(train) [85][1020/1879] lr: 2.0000e-03 eta: 4:58:02 time: 0.6233 data_time: 0.0803 memory: 13723 grad_norm: 4.9715 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7976 loss: 0.7976 2022/08/09 22:13:36 - mmengine - INFO - Epoch(train) [85][1040/1879] lr: 2.0000e-03 eta: 4:57:50 time: 0.5764 data_time: 0.0205 memory: 13723 grad_norm: 4.9286 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6392 loss: 0.6392 2022/08/09 22:13:49 - mmengine - INFO - Epoch(train) [85][1060/1879] lr: 2.0000e-03 eta: 4:57:38 time: 0.6503 data_time: 0.0314 memory: 13723 grad_norm: 4.8546 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6219 loss: 0.6219 2022/08/09 22:14:02 - mmengine - INFO - Epoch(train) [85][1080/1879] lr: 2.0000e-03 eta: 4:57:25 time: 0.6240 data_time: 0.0221 memory: 13723 grad_norm: 4.7045 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5495 loss: 0.5495 2022/08/09 22:14:15 - mmengine - INFO - Epoch(train) [85][1100/1879] lr: 2.0000e-03 eta: 4:57:13 time: 0.6770 data_time: 0.0236 memory: 13723 grad_norm: 4.8354 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5290 loss: 0.5290 2022/08/09 22:14:29 - mmengine - INFO - Epoch(train) [85][1120/1879] lr: 2.0000e-03 eta: 4:57:01 time: 0.6966 data_time: 0.0196 memory: 13723 grad_norm: 4.8076 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5361 loss: 0.5361 2022/08/09 22:14:41 - mmengine - INFO - Epoch(train) [85][1140/1879] lr: 2.0000e-03 eta: 4:56:49 time: 0.5775 data_time: 0.0235 memory: 13723 grad_norm: 5.0248 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7326 loss: 0.7326 2022/08/09 22:14:53 - mmengine - INFO - Epoch(train) [85][1160/1879] lr: 2.0000e-03 eta: 4:56:36 time: 0.5825 data_time: 0.0280 memory: 13723 grad_norm: 4.8706 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5592 loss: 0.5592 2022/08/09 22:14:57 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 22:15:09 - mmengine - INFO - Epoch(train) [85][1180/1879] lr: 2.0000e-03 eta: 4:56:25 time: 0.8210 data_time: 0.0184 memory: 13723 grad_norm: 4.9442 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7181 loss: 0.7181 2022/08/09 22:15:20 - mmengine - INFO - Epoch(train) [85][1200/1879] lr: 2.0000e-03 eta: 4:56:12 time: 0.5734 data_time: 0.0228 memory: 13723 grad_norm: 4.9042 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6658 loss: 0.6658 2022/08/09 22:15:34 - mmengine - INFO - Epoch(train) [85][1220/1879] lr: 2.0000e-03 eta: 4:56:00 time: 0.6753 data_time: 0.0206 memory: 13723 grad_norm: 4.8753 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7163 loss: 0.7163 2022/08/09 22:15:49 - mmengine - INFO - Epoch(train) [85][1240/1879] lr: 2.0000e-03 eta: 4:55:48 time: 0.7540 data_time: 0.0214 memory: 13723 grad_norm: 5.0125 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7529 loss: 0.7529 2022/08/09 22:16:06 - mmengine - INFO - Epoch(train) [85][1260/1879] lr: 2.0000e-03 eta: 4:55:37 time: 0.8458 data_time: 0.0221 memory: 13723 grad_norm: 4.9662 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8226 loss: 0.8226 2022/08/09 22:16:18 - mmengine - INFO - Epoch(train) [85][1280/1879] lr: 2.0000e-03 eta: 4:55:24 time: 0.6144 data_time: 0.0233 memory: 13723 grad_norm: 4.8186 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7129 loss: 0.7129 2022/08/09 22:16:30 - mmengine - INFO - Epoch(train) [85][1300/1879] lr: 2.0000e-03 eta: 4:55:12 time: 0.6000 data_time: 0.0409 memory: 13723 grad_norm: 4.8657 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6940 loss: 0.6940 2022/08/09 22:16:44 - mmengine - INFO - Epoch(train) [85][1320/1879] lr: 2.0000e-03 eta: 4:55:00 time: 0.6930 data_time: 0.0446 memory: 13723 grad_norm: 4.8551 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6071 loss: 0.6071 2022/08/09 22:16:57 - mmengine - INFO - Epoch(train) [85][1340/1879] lr: 2.0000e-03 eta: 4:54:48 time: 0.6460 data_time: 0.0200 memory: 13723 grad_norm: 4.9755 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5812 loss: 0.5812 2022/08/09 22:17:09 - mmengine - INFO - Epoch(train) [85][1360/1879] lr: 2.0000e-03 eta: 4:54:35 time: 0.5694 data_time: 0.0230 memory: 13723 grad_norm: 4.8137 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6246 loss: 0.6246 2022/08/09 22:17:21 - mmengine - INFO - Epoch(train) [85][1380/1879] lr: 2.0000e-03 eta: 4:54:23 time: 0.6318 data_time: 0.0763 memory: 13723 grad_norm: 5.0174 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6686 loss: 0.6686 2022/08/09 22:17:33 - mmengine - INFO - Epoch(train) [85][1400/1879] lr: 2.0000e-03 eta: 4:54:11 time: 0.6089 data_time: 0.0246 memory: 13723 grad_norm: 4.9825 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6219 loss: 0.6219 2022/08/09 22:17:48 - mmengine - INFO - Epoch(train) [85][1420/1879] lr: 2.0000e-03 eta: 4:53:59 time: 0.7511 data_time: 0.0195 memory: 13723 grad_norm: 4.8920 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5166 loss: 0.5166 2022/08/09 22:18:09 - mmengine - INFO - Epoch(train) [85][1440/1879] lr: 2.0000e-03 eta: 4:53:48 time: 1.0137 data_time: 0.0188 memory: 13723 grad_norm: 4.8588 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6086 loss: 0.6086 2022/08/09 22:18:23 - mmengine - INFO - Epoch(train) [85][1460/1879] lr: 2.0000e-03 eta: 4:53:36 time: 0.7309 data_time: 0.0179 memory: 13723 grad_norm: 5.0754 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6168 loss: 0.6168 2022/08/09 22:18:43 - mmengine - INFO - Epoch(train) [85][1480/1879] lr: 2.0000e-03 eta: 4:53:25 time: 0.9744 data_time: 0.0183 memory: 13723 grad_norm: 4.9198 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7401 loss: 0.7401 2022/08/09 22:19:02 - mmengine - INFO - Epoch(train) [85][1500/1879] lr: 2.0000e-03 eta: 4:53:14 time: 0.9642 data_time: 0.0193 memory: 13723 grad_norm: 4.8787 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5577 loss: 0.5577 2022/08/09 22:19:15 - mmengine - INFO - Epoch(train) [85][1520/1879] lr: 2.0000e-03 eta: 4:53:02 time: 0.6277 data_time: 0.0227 memory: 13723 grad_norm: 5.0608 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6267 loss: 0.6267 2022/08/09 22:19:33 - mmengine - INFO - Epoch(train) [85][1540/1879] lr: 2.0000e-03 eta: 4:52:50 time: 0.8923 data_time: 0.0989 memory: 13723 grad_norm: 5.0806 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5863 loss: 0.5863 2022/08/09 22:19:45 - mmengine - INFO - Epoch(train) [85][1560/1879] lr: 2.0000e-03 eta: 4:52:38 time: 0.6398 data_time: 0.0213 memory: 13723 grad_norm: 5.0890 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6848 loss: 0.6848 2022/08/09 22:20:02 - mmengine - INFO - Epoch(train) [85][1580/1879] lr: 2.0000e-03 eta: 4:52:27 time: 0.8085 data_time: 0.0178 memory: 13723 grad_norm: 5.2287 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7416 loss: 0.7416 2022/08/09 22:20:21 - mmengine - INFO - Epoch(train) [85][1600/1879] lr: 2.0000e-03 eta: 4:52:16 time: 0.9866 data_time: 0.0182 memory: 13723 grad_norm: 4.8356 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6262 loss: 0.6262 2022/08/09 22:20:34 - mmengine - INFO - Epoch(train) [85][1620/1879] lr: 2.0000e-03 eta: 4:52:03 time: 0.6434 data_time: 0.0220 memory: 13723 grad_norm: 4.9880 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7150 loss: 0.7150 2022/08/09 22:20:49 - mmengine - INFO - Epoch(train) [85][1640/1879] lr: 2.0000e-03 eta: 4:51:52 time: 0.7547 data_time: 0.0172 memory: 13723 grad_norm: 4.9137 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5895 loss: 0.5895 2022/08/09 22:21:05 - mmengine - INFO - Epoch(train) [85][1660/1879] lr: 2.0000e-03 eta: 4:51:40 time: 0.7781 data_time: 0.0242 memory: 13723 grad_norm: 4.9728 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7043 loss: 0.7043 2022/08/09 22:21:19 - mmengine - INFO - Epoch(train) [85][1680/1879] lr: 2.0000e-03 eta: 4:51:28 time: 0.6872 data_time: 0.0227 memory: 13723 grad_norm: 4.8868 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6648 loss: 0.6648 2022/08/09 22:21:33 - mmengine - INFO - Epoch(train) [85][1700/1879] lr: 2.0000e-03 eta: 4:51:16 time: 0.7265 data_time: 0.0172 memory: 13723 grad_norm: 5.0201 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7605 loss: 0.7605 2022/08/09 22:21:47 - mmengine - INFO - Epoch(train) [85][1720/1879] lr: 2.0000e-03 eta: 4:51:04 time: 0.6953 data_time: 0.0223 memory: 13723 grad_norm: 5.0238 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7382 loss: 0.7382 2022/08/09 22:22:05 - mmengine - INFO - Epoch(train) [85][1740/1879] lr: 2.0000e-03 eta: 4:50:52 time: 0.8800 data_time: 0.0236 memory: 13723 grad_norm: 4.8004 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7088 loss: 0.7088 2022/08/09 22:22:22 - mmengine - INFO - Epoch(train) [85][1760/1879] lr: 2.0000e-03 eta: 4:50:41 time: 0.8370 data_time: 0.0192 memory: 13723 grad_norm: 4.9818 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6888 loss: 0.6888 2022/08/09 22:22:36 - mmengine - INFO - Epoch(train) [85][1780/1879] lr: 2.0000e-03 eta: 4:50:29 time: 0.7427 data_time: 0.0196 memory: 13723 grad_norm: 4.9457 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6407 loss: 0.6407 2022/08/09 22:22:51 - mmengine - INFO - Epoch(train) [85][1800/1879] lr: 2.0000e-03 eta: 4:50:17 time: 0.7436 data_time: 0.0224 memory: 13723 grad_norm: 4.8835 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5829 loss: 0.5829 2022/08/09 22:23:06 - mmengine - INFO - Epoch(train) [85][1820/1879] lr: 2.0000e-03 eta: 4:50:05 time: 0.7240 data_time: 0.0223 memory: 13723 grad_norm: 4.9705 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5957 loss: 0.5957 2022/08/09 22:23:21 - mmengine - INFO - Epoch(train) [85][1840/1879] lr: 2.0000e-03 eta: 4:49:53 time: 0.7416 data_time: 0.0236 memory: 13723 grad_norm: 5.0597 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7886 loss: 0.7886 2022/08/09 22:23:36 - mmengine - INFO - Epoch(train) [85][1860/1879] lr: 2.0000e-03 eta: 4:49:41 time: 0.7778 data_time: 0.0299 memory: 13723 grad_norm: 4.9798 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5825 loss: 0.5825 2022/08/09 22:23:47 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 22:23:47 - mmengine - INFO - Epoch(train) [85][1879/1879] lr: 2.0000e-03 eta: 4:49:41 time: 0.6027 data_time: 0.0165 memory: 13723 grad_norm: 5.2521 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.6359 loss: 0.6359 2022/08/09 22:24:00 - mmengine - INFO - Epoch(val) [85][20/155] eta: 0:01:23 time: 0.6221 data_time: 0.4824 memory: 1829 2022/08/09 22:24:07 - mmengine - INFO - Epoch(val) [85][40/155] eta: 0:00:40 time: 0.3559 data_time: 0.2192 memory: 1829 2022/08/09 22:24:16 - mmengine - INFO - Epoch(val) [85][60/155] eta: 0:00:45 time: 0.4741 data_time: 0.3369 memory: 1829 2022/08/09 22:24:24 - mmengine - INFO - Epoch(val) [85][80/155] eta: 0:00:28 time: 0.3832 data_time: 0.2466 memory: 1829 2022/08/09 22:24:34 - mmengine - INFO - Epoch(val) [85][100/155] eta: 0:00:27 time: 0.4951 data_time: 0.3577 memory: 1829 2022/08/09 22:24:41 - mmengine - INFO - Epoch(val) [85][120/155] eta: 0:00:12 time: 0.3703 data_time: 0.2325 memory: 1829 2022/08/09 22:24:53 - mmengine - INFO - Epoch(val) [85][140/155] eta: 0:00:08 time: 0.5742 data_time: 0.4365 memory: 1829 2022/08/09 22:25:44 - mmengine - INFO - Epoch(val) [85][155/155] acc/top1: 0.7050 acc/top5: 0.8918 acc/mean1: 0.7049 2022/08/09 22:26:07 - mmengine - INFO - Epoch(train) [86][20/1879] lr: 2.0000e-03 eta: 4:49:17 time: 1.1756 data_time: 0.5462 memory: 13723 grad_norm: 4.7598 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6570 loss: 0.6570 2022/08/09 22:26:23 - mmengine - INFO - Epoch(train) [86][40/1879] lr: 2.0000e-03 eta: 4:49:06 time: 0.8028 data_time: 0.1697 memory: 13723 grad_norm: 4.9039 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6022 loss: 0.6022 2022/08/09 22:26:36 - mmengine - INFO - Epoch(train) [86][60/1879] lr: 2.0000e-03 eta: 4:48:53 time: 0.6466 data_time: 0.0210 memory: 13723 grad_norm: 4.9304 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6583 loss: 0.6583 2022/08/09 22:26:53 - mmengine - INFO - Epoch(train) [86][80/1879] lr: 2.0000e-03 eta: 4:48:42 time: 0.8394 data_time: 0.0196 memory: 13723 grad_norm: 4.8523 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6150 loss: 0.6150 2022/08/09 22:27:13 - mmengine - INFO - Epoch(train) [86][100/1879] lr: 2.0000e-03 eta: 4:48:31 time: 1.0040 data_time: 0.0186 memory: 13723 grad_norm: 4.8885 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5793 loss: 0.5793 2022/08/09 22:27:30 - mmengine - INFO - Epoch(train) [86][120/1879] lr: 2.0000e-03 eta: 4:48:19 time: 0.8607 data_time: 0.0173 memory: 13723 grad_norm: 4.8584 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6786 loss: 0.6786 2022/08/09 22:27:44 - mmengine - INFO - Epoch(train) [86][140/1879] lr: 2.0000e-03 eta: 4:48:07 time: 0.6987 data_time: 0.0442 memory: 13723 grad_norm: 4.8309 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6239 loss: 0.6239 2022/08/09 22:27:57 - mmengine - INFO - Epoch(train) [86][160/1879] lr: 2.0000e-03 eta: 4:47:55 time: 0.6391 data_time: 0.0234 memory: 13723 grad_norm: 4.8093 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6689 loss: 0.6689 2022/08/09 22:28:12 - mmengine - INFO - Epoch(train) [86][180/1879] lr: 2.0000e-03 eta: 4:47:43 time: 0.7165 data_time: 0.0872 memory: 13723 grad_norm: 4.9301 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6912 loss: 0.6912 2022/08/09 22:28:31 - mmengine - INFO - Epoch(train) [86][200/1879] lr: 2.0000e-03 eta: 4:47:32 time: 0.9526 data_time: 0.4014 memory: 13723 grad_norm: 4.7810 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6683 loss: 0.6683 2022/08/09 22:28:43 - mmengine - INFO - Epoch(train) [86][220/1879] lr: 2.0000e-03 eta: 4:47:20 time: 0.6364 data_time: 0.0442 memory: 13723 grad_norm: 4.8917 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5997 loss: 0.5997 2022/08/09 22:28:58 - mmengine - INFO - Epoch(train) [86][240/1879] lr: 2.0000e-03 eta: 4:47:08 time: 0.7251 data_time: 0.0223 memory: 13723 grad_norm: 4.8623 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6766 loss: 0.6766 2022/08/09 22:29:11 - mmengine - INFO - Epoch(train) [86][260/1879] lr: 2.0000e-03 eta: 4:46:56 time: 0.6556 data_time: 0.0198 memory: 13723 grad_norm: 4.9319 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5924 loss: 0.5924 2022/08/09 22:29:25 - mmengine - INFO - Epoch(train) [86][280/1879] lr: 2.0000e-03 eta: 4:46:44 time: 0.6817 data_time: 0.0198 memory: 13723 grad_norm: 4.8217 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6085 loss: 0.6085 2022/08/09 22:29:30 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 22:29:39 - mmengine - INFO - Epoch(train) [86][300/1879] lr: 2.0000e-03 eta: 4:46:32 time: 0.6966 data_time: 0.0192 memory: 13723 grad_norm: 4.8069 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6702 loss: 0.6702 2022/08/09 22:29:50 - mmengine - INFO - Epoch(train) [86][320/1879] lr: 2.0000e-03 eta: 4:46:19 time: 0.5660 data_time: 0.0250 memory: 13723 grad_norm: 4.8349 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6551 loss: 0.6551 2022/08/09 22:30:07 - mmengine - INFO - Epoch(train) [86][340/1879] lr: 2.0000e-03 eta: 4:46:08 time: 0.8641 data_time: 0.3197 memory: 13723 grad_norm: 4.9438 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6712 loss: 0.6712 2022/08/09 22:30:27 - mmengine - INFO - Epoch(train) [86][360/1879] lr: 2.0000e-03 eta: 4:45:56 time: 0.9705 data_time: 0.4204 memory: 13723 grad_norm: 4.8471 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6133 loss: 0.6133 2022/08/09 22:30:39 - mmengine - INFO - Epoch(train) [86][380/1879] lr: 2.0000e-03 eta: 4:45:44 time: 0.6100 data_time: 0.0569 memory: 13723 grad_norm: 4.9378 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6235 loss: 0.6235 2022/08/09 22:30:52 - mmengine - INFO - Epoch(train) [86][400/1879] lr: 2.0000e-03 eta: 4:45:32 time: 0.6380 data_time: 0.0456 memory: 13723 grad_norm: 5.0239 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6738 loss: 0.6738 2022/08/09 22:31:08 - mmengine - INFO - Epoch(train) [86][420/1879] lr: 2.0000e-03 eta: 4:45:20 time: 0.8142 data_time: 0.2708 memory: 13723 grad_norm: 4.9588 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7134 loss: 0.7134 2022/08/09 22:31:20 - mmengine - INFO - Epoch(train) [86][440/1879] lr: 2.0000e-03 eta: 4:45:08 time: 0.6010 data_time: 0.0436 memory: 13723 grad_norm: 4.8969 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6855 loss: 0.6855 2022/08/09 22:31:36 - mmengine - INFO - Epoch(train) [86][460/1879] lr: 2.0000e-03 eta: 4:44:56 time: 0.7931 data_time: 0.2460 memory: 13723 grad_norm: 4.9914 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6842 loss: 0.6842 2022/08/09 22:31:56 - mmengine - INFO - Epoch(train) [86][480/1879] lr: 2.0000e-03 eta: 4:44:45 time: 1.0049 data_time: 0.4239 memory: 13723 grad_norm: 4.8917 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6869 loss: 0.6869 2022/08/09 22:32:08 - mmengine - INFO - Epoch(train) [86][500/1879] lr: 2.0000e-03 eta: 4:44:33 time: 0.5937 data_time: 0.0490 memory: 13723 grad_norm: 4.7403 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6300 loss: 0.6300 2022/08/09 22:32:25 - mmengine - INFO - Epoch(train) [86][520/1879] lr: 2.0000e-03 eta: 4:44:21 time: 0.8609 data_time: 0.1846 memory: 13723 grad_norm: 4.8977 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6495 loss: 0.6495 2022/08/09 22:32:40 - mmengine - INFO - Epoch(train) [86][540/1879] lr: 2.0000e-03 eta: 4:44:09 time: 0.7395 data_time: 0.2039 memory: 13723 grad_norm: 4.8762 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.6220 loss: 0.6220 2022/08/09 22:32:53 - mmengine - INFO - Epoch(train) [86][560/1879] lr: 2.0000e-03 eta: 4:43:57 time: 0.6331 data_time: 0.0783 memory: 13723 grad_norm: 4.8870 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6468 loss: 0.6468 2022/08/09 22:33:06 - mmengine - INFO - Epoch(train) [86][580/1879] lr: 2.0000e-03 eta: 4:43:45 time: 0.6489 data_time: 0.1041 memory: 13723 grad_norm: 5.1049 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6279 loss: 0.6279 2022/08/09 22:33:19 - mmengine - INFO - Epoch(train) [86][600/1879] lr: 2.0000e-03 eta: 4:43:33 time: 0.6575 data_time: 0.1158 memory: 13723 grad_norm: 5.0275 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5789 loss: 0.5789 2022/08/09 22:33:33 - mmengine - INFO - Epoch(train) [86][620/1879] lr: 2.0000e-03 eta: 4:43:21 time: 0.7235 data_time: 0.1774 memory: 13723 grad_norm: 4.8613 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6495 loss: 0.6495 2022/08/09 22:33:48 - mmengine - INFO - Epoch(train) [86][640/1879] lr: 2.0000e-03 eta: 4:43:09 time: 0.7228 data_time: 0.1313 memory: 13723 grad_norm: 4.7913 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6086 loss: 0.6086 2022/08/09 22:34:00 - mmengine - INFO - Epoch(train) [86][660/1879] lr: 2.0000e-03 eta: 4:42:56 time: 0.6322 data_time: 0.0847 memory: 13723 grad_norm: 4.8628 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6169 loss: 0.6169 2022/08/09 22:34:14 - mmengine - INFO - Epoch(train) [86][680/1879] lr: 2.0000e-03 eta: 4:42:44 time: 0.6674 data_time: 0.1187 memory: 13723 grad_norm: 4.9817 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6251 loss: 0.6251 2022/08/09 22:34:30 - mmengine - INFO - Epoch(train) [86][700/1879] lr: 2.0000e-03 eta: 4:42:33 time: 0.8217 data_time: 0.0195 memory: 13723 grad_norm: 5.0460 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6658 loss: 0.6658 2022/08/09 22:34:45 - mmengine - INFO - Epoch(train) [86][720/1879] lr: 2.0000e-03 eta: 4:42:21 time: 0.7212 data_time: 0.0214 memory: 13723 grad_norm: 4.7941 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6982 loss: 0.6982 2022/08/09 22:34:58 - mmengine - INFO - Epoch(train) [86][740/1879] lr: 2.0000e-03 eta: 4:42:08 time: 0.6843 data_time: 0.1166 memory: 13723 grad_norm: 4.8469 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5221 loss: 0.5221 2022/08/09 22:35:14 - mmengine - INFO - Epoch(train) [86][760/1879] lr: 2.0000e-03 eta: 4:41:57 time: 0.7673 data_time: 0.2207 memory: 13723 grad_norm: 4.9380 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6816 loss: 0.6816 2022/08/09 22:35:27 - mmengine - INFO - Epoch(train) [86][780/1879] lr: 2.0000e-03 eta: 4:41:44 time: 0.6709 data_time: 0.1219 memory: 13723 grad_norm: 5.0374 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6695 loss: 0.6695 2022/08/09 22:35:41 - mmengine - INFO - Epoch(train) [86][800/1879] lr: 2.0000e-03 eta: 4:41:32 time: 0.6718 data_time: 0.1309 memory: 13723 grad_norm: 4.9113 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6129 loss: 0.6129 2022/08/09 22:35:54 - mmengine - INFO - Epoch(train) [86][820/1879] lr: 2.0000e-03 eta: 4:41:20 time: 0.6641 data_time: 0.1152 memory: 13723 grad_norm: 4.9550 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5670 loss: 0.5670 2022/08/09 22:36:07 - mmengine - INFO - Epoch(train) [86][840/1879] lr: 2.0000e-03 eta: 4:41:08 time: 0.6468 data_time: 0.0982 memory: 13723 grad_norm: 4.8067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7874 loss: 0.7874 2022/08/09 22:36:18 - mmengine - INFO - Epoch(train) [86][860/1879] lr: 2.0000e-03 eta: 4:40:55 time: 0.5822 data_time: 0.0244 memory: 13723 grad_norm: 4.7689 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6418 loss: 0.6418 2022/08/09 22:36:33 - mmengine - INFO - Epoch(train) [86][880/1879] lr: 2.0000e-03 eta: 4:40:44 time: 0.7366 data_time: 0.0197 memory: 13723 grad_norm: 5.0534 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7097 loss: 0.7097 2022/08/09 22:36:46 - mmengine - INFO - Epoch(train) [86][900/1879] lr: 2.0000e-03 eta: 4:40:31 time: 0.6238 data_time: 0.0781 memory: 13723 grad_norm: 4.8318 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6986 loss: 0.6986 2022/08/09 22:36:59 - mmengine - INFO - Epoch(train) [86][920/1879] lr: 2.0000e-03 eta: 4:40:19 time: 0.6771 data_time: 0.1342 memory: 13723 grad_norm: 4.9748 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6279 loss: 0.6279 2022/08/09 22:37:12 - mmengine - INFO - Epoch(train) [86][940/1879] lr: 2.0000e-03 eta: 4:40:07 time: 0.6104 data_time: 0.0487 memory: 13723 grad_norm: 4.9132 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6812 loss: 0.6812 2022/08/09 22:37:25 - mmengine - INFO - Epoch(train) [86][960/1879] lr: 2.0000e-03 eta: 4:39:55 time: 0.6570 data_time: 0.0184 memory: 13723 grad_norm: 4.8809 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7896 loss: 0.7896 2022/08/09 22:37:40 - mmengine - INFO - Epoch(train) [86][980/1879] lr: 2.0000e-03 eta: 4:39:43 time: 0.7584 data_time: 0.1198 memory: 13723 grad_norm: 5.1171 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6170 loss: 0.6170 2022/08/09 22:37:54 - mmengine - INFO - Epoch(train) [86][1000/1879] lr: 2.0000e-03 eta: 4:39:31 time: 0.7277 data_time: 0.1783 memory: 13723 grad_norm: 5.0038 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7536 loss: 0.7536 2022/08/09 22:38:09 - mmengine - INFO - Epoch(train) [86][1020/1879] lr: 2.0000e-03 eta: 4:39:19 time: 0.7341 data_time: 0.1714 memory: 13723 grad_norm: 4.8457 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4769 loss: 0.4769 2022/08/09 22:38:27 - mmengine - INFO - Epoch(train) [86][1040/1879] lr: 2.0000e-03 eta: 4:39:07 time: 0.9045 data_time: 0.3463 memory: 13723 grad_norm: 4.8190 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7269 loss: 0.7269 2022/08/09 22:38:43 - mmengine - INFO - Epoch(train) [86][1060/1879] lr: 2.0000e-03 eta: 4:38:56 time: 0.7645 data_time: 0.0210 memory: 13723 grad_norm: 4.7887 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7048 loss: 0.7048 2022/08/09 22:38:56 - mmengine - INFO - Epoch(train) [86][1080/1879] lr: 2.0000e-03 eta: 4:38:43 time: 0.6959 data_time: 0.1147 memory: 13723 grad_norm: 4.8915 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6316 loss: 0.6316 2022/08/09 22:39:09 - mmengine - INFO - Epoch(train) [86][1100/1879] lr: 2.0000e-03 eta: 4:38:31 time: 0.6128 data_time: 0.0169 memory: 13723 grad_norm: 4.9907 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7835 loss: 0.7835 2022/08/09 22:39:24 - mmengine - INFO - Epoch(train) [86][1120/1879] lr: 2.0000e-03 eta: 4:38:19 time: 0.7696 data_time: 0.0187 memory: 13723 grad_norm: 4.8897 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6261 loss: 0.6261 2022/08/09 22:39:37 - mmengine - INFO - Epoch(train) [86][1140/1879] lr: 2.0000e-03 eta: 4:38:07 time: 0.6481 data_time: 0.0224 memory: 13723 grad_norm: 5.0308 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5314 loss: 0.5314 2022/08/09 22:39:52 - mmengine - INFO - Epoch(train) [86][1160/1879] lr: 2.0000e-03 eta: 4:37:55 time: 0.7185 data_time: 0.0202 memory: 13723 grad_norm: 5.0892 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7868 loss: 0.7868 2022/08/09 22:40:03 - mmengine - INFO - Epoch(train) [86][1180/1879] lr: 2.0000e-03 eta: 4:37:43 time: 0.5768 data_time: 0.0255 memory: 13723 grad_norm: 4.8967 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6076 loss: 0.6076 2022/08/09 22:40:25 - mmengine - INFO - Epoch(train) [86][1200/1879] lr: 2.0000e-03 eta: 4:37:32 time: 1.1048 data_time: 0.1475 memory: 13723 grad_norm: 4.8693 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5753 loss: 0.5753 2022/08/09 22:40:39 - mmengine - INFO - Epoch(train) [86][1220/1879] lr: 2.0000e-03 eta: 4:37:20 time: 0.6736 data_time: 0.1236 memory: 13723 grad_norm: 4.9118 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6932 loss: 0.6932 2022/08/09 22:40:51 - mmengine - INFO - Epoch(train) [86][1240/1879] lr: 2.0000e-03 eta: 4:37:07 time: 0.6322 data_time: 0.0897 memory: 13723 grad_norm: 4.8525 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6929 loss: 0.6929 2022/08/09 22:41:03 - mmengine - INFO - Epoch(train) [86][1260/1879] lr: 2.0000e-03 eta: 4:36:55 time: 0.5752 data_time: 0.0247 memory: 13723 grad_norm: 4.8126 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7937 loss: 0.7937 2022/08/09 22:41:18 - mmengine - INFO - Epoch(train) [86][1280/1879] lr: 2.0000e-03 eta: 4:36:43 time: 0.7508 data_time: 0.0190 memory: 13723 grad_norm: 4.8998 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5325 loss: 0.5325 2022/08/09 22:41:21 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 22:41:30 - mmengine - INFO - Epoch(train) [86][1300/1879] lr: 2.0000e-03 eta: 4:36:31 time: 0.5997 data_time: 0.0231 memory: 13723 grad_norm: 5.0217 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7629 loss: 0.7629 2022/08/09 22:41:42 - mmengine - INFO - Epoch(train) [86][1320/1879] lr: 2.0000e-03 eta: 4:36:18 time: 0.5970 data_time: 0.0216 memory: 13723 grad_norm: 4.9136 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5326 loss: 0.5326 2022/08/09 22:41:55 - mmengine - INFO - Epoch(train) [86][1340/1879] lr: 2.0000e-03 eta: 4:36:06 time: 0.6766 data_time: 0.0498 memory: 13723 grad_norm: 4.9554 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6267 loss: 0.6267 2022/08/09 22:42:10 - mmengine - INFO - Epoch(train) [86][1360/1879] lr: 2.0000e-03 eta: 4:35:54 time: 0.7431 data_time: 0.0205 memory: 13723 grad_norm: 4.7884 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4929 loss: 0.4929 2022/08/09 22:42:24 - mmengine - INFO - Epoch(train) [86][1380/1879] lr: 2.0000e-03 eta: 4:35:42 time: 0.7039 data_time: 0.0192 memory: 13723 grad_norm: 5.0832 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6585 loss: 0.6585 2022/08/09 22:42:40 - mmengine - INFO - Epoch(train) [86][1400/1879] lr: 2.0000e-03 eta: 4:35:30 time: 0.7876 data_time: 0.0196 memory: 13723 grad_norm: 5.0813 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5515 loss: 0.5515 2022/08/09 22:42:56 - mmengine - INFO - Epoch(train) [86][1420/1879] lr: 2.0000e-03 eta: 4:35:19 time: 0.7609 data_time: 0.0871 memory: 13723 grad_norm: 4.8370 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6946 loss: 0.6946 2022/08/09 22:43:09 - mmengine - INFO - Epoch(train) [86][1440/1879] lr: 2.0000e-03 eta: 4:35:06 time: 0.6546 data_time: 0.0328 memory: 13723 grad_norm: 5.0670 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.5949 loss: 0.5949 2022/08/09 22:43:23 - mmengine - INFO - Epoch(train) [86][1460/1879] lr: 2.0000e-03 eta: 4:34:54 time: 0.7474 data_time: 0.0240 memory: 13723 grad_norm: 5.0143 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6123 loss: 0.6123 2022/08/09 22:43:36 - mmengine - INFO - Epoch(train) [86][1480/1879] lr: 2.0000e-03 eta: 4:34:42 time: 0.6441 data_time: 0.0206 memory: 13723 grad_norm: 4.9289 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5493 loss: 0.5493 2022/08/09 22:43:50 - mmengine - INFO - Epoch(train) [86][1500/1879] lr: 2.0000e-03 eta: 4:34:30 time: 0.6753 data_time: 0.0245 memory: 13723 grad_norm: 5.0436 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7813 loss: 0.7813 2022/08/09 22:44:02 - mmengine - INFO - Epoch(train) [86][1520/1879] lr: 2.0000e-03 eta: 4:34:17 time: 0.5803 data_time: 0.0196 memory: 13723 grad_norm: 4.9089 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6352 loss: 0.6352 2022/08/09 22:44:15 - mmengine - INFO - Epoch(train) [86][1540/1879] lr: 2.0000e-03 eta: 4:34:05 time: 0.6861 data_time: 0.0218 memory: 13723 grad_norm: 4.9837 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7121 loss: 0.7121 2022/08/09 22:44:28 - mmengine - INFO - Epoch(train) [86][1560/1879] lr: 2.0000e-03 eta: 4:33:53 time: 0.6227 data_time: 0.0229 memory: 13723 grad_norm: 5.0616 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7332 loss: 0.7332 2022/08/09 22:44:47 - mmengine - INFO - Epoch(train) [86][1580/1879] lr: 2.0000e-03 eta: 4:33:42 time: 0.9442 data_time: 0.3961 memory: 13723 grad_norm: 5.1349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7583 loss: 0.7583 2022/08/09 22:44:59 - mmengine - INFO - Epoch(train) [86][1600/1879] lr: 2.0000e-03 eta: 4:33:29 time: 0.6015 data_time: 0.0537 memory: 13723 grad_norm: 4.8799 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5469 loss: 0.5469 2022/08/09 22:45:21 - mmengine - INFO - Epoch(train) [86][1620/1879] lr: 2.0000e-03 eta: 4:33:19 time: 1.1212 data_time: 0.5907 memory: 13723 grad_norm: 5.0143 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6815 loss: 0.6815 2022/08/09 22:45:33 - mmengine - INFO - Epoch(train) [86][1640/1879] lr: 2.0000e-03 eta: 4:33:06 time: 0.5896 data_time: 0.0194 memory: 13723 grad_norm: 4.9410 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6859 loss: 0.6859 2022/08/09 22:45:53 - mmengine - INFO - Epoch(train) [86][1660/1879] lr: 2.0000e-03 eta: 4:32:55 time: 1.0147 data_time: 0.0622 memory: 13723 grad_norm: 4.9879 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6478 loss: 0.6478 2022/08/09 22:46:06 - mmengine - INFO - Epoch(train) [86][1680/1879] lr: 2.0000e-03 eta: 4:32:43 time: 0.6578 data_time: 0.0152 memory: 13723 grad_norm: 5.0535 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5194 loss: 0.5194 2022/08/09 22:46:25 - mmengine - INFO - Epoch(train) [86][1700/1879] lr: 2.0000e-03 eta: 4:32:32 time: 0.9337 data_time: 0.0230 memory: 13723 grad_norm: 5.0546 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4639 loss: 0.4639 2022/08/09 22:46:40 - mmengine - INFO - Epoch(train) [86][1720/1879] lr: 2.0000e-03 eta: 4:32:20 time: 0.7238 data_time: 0.0201 memory: 13723 grad_norm: 4.9491 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7210 loss: 0.7210 2022/08/09 22:46:54 - mmengine - INFO - Epoch(train) [86][1740/1879] lr: 2.0000e-03 eta: 4:32:08 time: 0.7109 data_time: 0.0204 memory: 13723 grad_norm: 5.0855 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6630 loss: 0.6630 2022/08/09 22:47:10 - mmengine - INFO - Epoch(train) [86][1760/1879] lr: 2.0000e-03 eta: 4:31:56 time: 0.8104 data_time: 0.0204 memory: 13723 grad_norm: 5.2061 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6921 loss: 0.6921 2022/08/09 22:47:27 - mmengine - INFO - Epoch(train) [86][1780/1879] lr: 2.0000e-03 eta: 4:31:44 time: 0.8537 data_time: 0.0172 memory: 13723 grad_norm: 4.9051 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6252 loss: 0.6252 2022/08/09 22:47:40 - mmengine - INFO - Epoch(train) [86][1800/1879] lr: 2.0000e-03 eta: 4:31:32 time: 0.6373 data_time: 0.0219 memory: 13723 grad_norm: 5.0646 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6734 loss: 0.6734 2022/08/09 22:47:54 - mmengine - INFO - Epoch(train) [86][1820/1879] lr: 2.0000e-03 eta: 4:31:20 time: 0.7108 data_time: 0.0223 memory: 13723 grad_norm: 4.9193 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6215 loss: 0.6215 2022/08/09 22:48:09 - mmengine - INFO - Epoch(train) [86][1840/1879] lr: 2.0000e-03 eta: 4:31:08 time: 0.7201 data_time: 0.0202 memory: 13723 grad_norm: 5.0531 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6037 loss: 0.6037 2022/08/09 22:48:23 - mmengine - INFO - Epoch(train) [86][1860/1879] lr: 2.0000e-03 eta: 4:30:56 time: 0.7399 data_time: 0.0230 memory: 13723 grad_norm: 5.0692 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6168 loss: 0.6168 2022/08/09 22:48:34 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 22:48:34 - mmengine - INFO - Epoch(train) [86][1879/1879] lr: 2.0000e-03 eta: 4:30:56 time: 0.5377 data_time: 0.0156 memory: 13723 grad_norm: 5.1852 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.7584 loss: 0.7584 2022/08/09 22:48:47 - mmengine - INFO - Epoch(val) [86][20/155] eta: 0:01:30 time: 0.6705 data_time: 0.5305 memory: 1829 2022/08/09 22:48:55 - mmengine - INFO - Epoch(val) [86][40/155] eta: 0:00:47 time: 0.4137 data_time: 0.2752 memory: 1829 2022/08/09 22:49:07 - mmengine - INFO - Epoch(val) [86][60/155] eta: 0:00:55 time: 0.5800 data_time: 0.4436 memory: 1829 2022/08/09 22:49:15 - mmengine - INFO - Epoch(val) [86][80/155] eta: 0:00:29 time: 0.3965 data_time: 0.2606 memory: 1829 2022/08/09 22:49:28 - mmengine - INFO - Epoch(val) [86][100/155] eta: 0:00:35 time: 0.6393 data_time: 0.5021 memory: 1829 2022/08/09 22:49:36 - mmengine - INFO - Epoch(val) [86][120/155] eta: 0:00:14 time: 0.4082 data_time: 0.2680 memory: 1829 2022/08/09 22:49:54 - mmengine - INFO - Epoch(val) [86][140/155] eta: 0:00:13 time: 0.8854 data_time: 0.7514 memory: 1829 2022/08/09 22:50:39 - mmengine - INFO - Epoch(val) [86][155/155] acc/top1: 0.7081 acc/top5: 0.8940 acc/mean1: 0.7079 2022/08/09 22:51:02 - mmengine - INFO - Epoch(train) [87][20/1879] lr: 2.0000e-03 eta: 4:30:32 time: 1.1759 data_time: 0.3346 memory: 13723 grad_norm: 5.0131 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5714 loss: 0.5714 2022/08/09 22:51:15 - mmengine - INFO - Epoch(train) [87][40/1879] lr: 2.0000e-03 eta: 4:30:20 time: 0.6406 data_time: 0.0392 memory: 13723 grad_norm: 5.0248 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6713 loss: 0.6713 2022/08/09 22:51:32 - mmengine - INFO - Epoch(train) [87][60/1879] lr: 2.0000e-03 eta: 4:30:08 time: 0.8657 data_time: 0.0892 memory: 13723 grad_norm: 4.7706 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5978 loss: 0.5978 2022/08/09 22:51:49 - mmengine - INFO - Epoch(train) [87][80/1879] lr: 2.0000e-03 eta: 4:29:56 time: 0.8326 data_time: 0.2591 memory: 13723 grad_norm: 4.6902 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6014 loss: 0.6014 2022/08/09 22:52:01 - mmengine - INFO - Epoch(train) [87][100/1879] lr: 2.0000e-03 eta: 4:29:44 time: 0.5948 data_time: 0.0242 memory: 13723 grad_norm: 4.9409 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.6340 loss: 0.6340 2022/08/09 22:52:14 - mmengine - INFO - Epoch(train) [87][120/1879] lr: 2.0000e-03 eta: 4:29:32 time: 0.6436 data_time: 0.0210 memory: 13723 grad_norm: 4.8286 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6469 loss: 0.6469 2022/08/09 22:52:33 - mmengine - INFO - Epoch(train) [87][140/1879] lr: 2.0000e-03 eta: 4:29:20 time: 0.9365 data_time: 0.0174 memory: 13723 grad_norm: 4.9174 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6100 loss: 0.6100 2022/08/09 22:52:44 - mmengine - INFO - Epoch(train) [87][160/1879] lr: 2.0000e-03 eta: 4:29:08 time: 0.5836 data_time: 0.0229 memory: 13723 grad_norm: 4.7371 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6833 loss: 0.6833 2022/08/09 22:53:04 - mmengine - INFO - Epoch(train) [87][180/1879] lr: 2.0000e-03 eta: 4:28:57 time: 0.9874 data_time: 0.0261 memory: 13723 grad_norm: 4.9391 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6196 loss: 0.6196 2022/08/09 22:53:29 - mmengine - INFO - Epoch(train) [87][200/1879] lr: 2.0000e-03 eta: 4:28:46 time: 1.2325 data_time: 0.0166 memory: 13723 grad_norm: 4.8592 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6209 loss: 0.6209 2022/08/09 22:53:43 - mmengine - INFO - Epoch(train) [87][220/1879] lr: 2.0000e-03 eta: 4:28:34 time: 0.6948 data_time: 0.0224 memory: 13723 grad_norm: 4.9401 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.5667 loss: 0.5667 2022/08/09 22:53:56 - mmengine - INFO - Epoch(train) [87][240/1879] lr: 2.0000e-03 eta: 4:28:22 time: 0.6888 data_time: 0.0260 memory: 13723 grad_norm: 4.7789 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4942 loss: 0.4942 2022/08/09 22:54:10 - mmengine - INFO - Epoch(train) [87][260/1879] lr: 2.0000e-03 eta: 4:28:10 time: 0.6676 data_time: 0.0948 memory: 13723 grad_norm: 5.0757 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7249 loss: 0.7249 2022/08/09 22:54:28 - mmengine - INFO - Epoch(train) [87][280/1879] lr: 2.0000e-03 eta: 4:27:59 time: 0.9024 data_time: 0.1158 memory: 13723 grad_norm: 4.9736 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6294 loss: 0.6294 2022/08/09 22:54:42 - mmengine - INFO - Epoch(train) [87][300/1879] lr: 2.0000e-03 eta: 4:27:47 time: 0.7214 data_time: 0.0196 memory: 13723 grad_norm: 4.9638 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6425 loss: 0.6425 2022/08/09 22:54:59 - mmengine - INFO - Epoch(train) [87][320/1879] lr: 2.0000e-03 eta: 4:27:35 time: 0.8449 data_time: 0.0213 memory: 13723 grad_norm: 5.1489 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6099 loss: 0.6099 2022/08/09 22:55:15 - mmengine - INFO - Epoch(train) [87][340/1879] lr: 2.0000e-03 eta: 4:27:23 time: 0.8141 data_time: 0.0161 memory: 13723 grad_norm: 4.7386 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6255 loss: 0.6255 2022/08/09 22:55:29 - mmengine - INFO - Epoch(train) [87][360/1879] lr: 2.0000e-03 eta: 4:27:11 time: 0.6555 data_time: 0.0213 memory: 13723 grad_norm: 4.8844 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6089 loss: 0.6089 2022/08/09 22:55:49 - mmengine - INFO - Epoch(train) [87][380/1879] lr: 2.0000e-03 eta: 4:27:00 time: 1.0242 data_time: 0.0194 memory: 13723 grad_norm: 5.1261 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6545 loss: 0.6545 2022/08/09 22:56:04 - mmengine - INFO - Epoch(train) [87][400/1879] lr: 2.0000e-03 eta: 4:26:48 time: 0.7491 data_time: 0.1418 memory: 13723 grad_norm: 4.9191 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6924 loss: 0.6924 2022/08/09 22:56:08 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 22:56:21 - mmengine - INFO - Epoch(train) [87][420/1879] lr: 2.0000e-03 eta: 4:26:36 time: 0.8566 data_time: 0.0199 memory: 13723 grad_norm: 5.0308 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5485 loss: 0.5485 2022/08/09 22:56:39 - mmengine - INFO - Epoch(train) [87][440/1879] lr: 2.0000e-03 eta: 4:26:25 time: 0.8754 data_time: 0.3312 memory: 13723 grad_norm: 4.9614 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5587 loss: 0.5587 2022/08/09 22:56:53 - mmengine - INFO - Epoch(train) [87][460/1879] lr: 2.0000e-03 eta: 4:26:13 time: 0.7226 data_time: 0.0193 memory: 13723 grad_norm: 4.9115 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6185 loss: 0.6185 2022/08/09 22:57:07 - mmengine - INFO - Epoch(train) [87][480/1879] lr: 2.0000e-03 eta: 4:26:01 time: 0.6984 data_time: 0.0213 memory: 13723 grad_norm: 4.9763 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6114 loss: 0.6114 2022/08/09 22:57:20 - mmengine - INFO - Epoch(train) [87][500/1879] lr: 2.0000e-03 eta: 4:25:48 time: 0.6614 data_time: 0.0205 memory: 13723 grad_norm: 4.9804 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7101 loss: 0.7101 2022/08/09 22:57:38 - mmengine - INFO - Epoch(train) [87][520/1879] lr: 2.0000e-03 eta: 4:25:37 time: 0.8717 data_time: 0.0615 memory: 13723 grad_norm: 5.1324 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7232 loss: 0.7232 2022/08/09 22:57:52 - mmengine - INFO - Epoch(train) [87][540/1879] lr: 2.0000e-03 eta: 4:25:25 time: 0.7152 data_time: 0.1390 memory: 13723 grad_norm: 5.0837 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7100 loss: 0.7100 2022/08/09 22:58:09 - mmengine - INFO - Epoch(train) [87][560/1879] lr: 2.0000e-03 eta: 4:25:13 time: 0.8360 data_time: 0.2906 memory: 13723 grad_norm: 5.0109 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6090 loss: 0.6090 2022/08/09 22:58:26 - mmengine - INFO - Epoch(train) [87][580/1879] lr: 2.0000e-03 eta: 4:25:01 time: 0.8281 data_time: 0.0171 memory: 13723 grad_norm: 4.9799 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5898 loss: 0.5898 2022/08/09 22:58:43 - mmengine - INFO - Epoch(train) [87][600/1879] lr: 2.0000e-03 eta: 4:24:50 time: 0.8920 data_time: 0.0204 memory: 13723 grad_norm: 4.9130 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6118 loss: 0.6118 2022/08/09 22:58:59 - mmengine - INFO - Epoch(train) [87][620/1879] lr: 2.0000e-03 eta: 4:24:38 time: 0.7592 data_time: 0.0860 memory: 13723 grad_norm: 4.9940 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6252 loss: 0.6252 2022/08/09 22:59:11 - mmengine - INFO - Epoch(train) [87][640/1879] lr: 2.0000e-03 eta: 4:24:26 time: 0.6191 data_time: 0.0650 memory: 13723 grad_norm: 5.0787 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5107 loss: 0.5107 2022/08/09 22:59:30 - mmengine - INFO - Epoch(train) [87][660/1879] lr: 2.0000e-03 eta: 4:24:14 time: 0.9429 data_time: 0.2379 memory: 13723 grad_norm: 5.1944 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6763 loss: 0.6763 2022/08/09 22:59:46 - mmengine - INFO - Epoch(train) [87][680/1879] lr: 2.0000e-03 eta: 4:24:03 time: 0.7860 data_time: 0.2408 memory: 13723 grad_norm: 5.2263 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6822 loss: 0.6822 2022/08/09 23:00:00 - mmengine - INFO - Epoch(train) [87][700/1879] lr: 2.0000e-03 eta: 4:23:51 time: 0.7360 data_time: 0.0207 memory: 13723 grad_norm: 4.8841 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6302 loss: 0.6302 2022/08/09 23:00:19 - mmengine - INFO - Epoch(train) [87][720/1879] lr: 2.0000e-03 eta: 4:23:39 time: 0.9490 data_time: 0.0163 memory: 13723 grad_norm: 5.0436 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5623 loss: 0.5623 2022/08/09 23:00:36 - mmengine - INFO - Epoch(train) [87][740/1879] lr: 2.0000e-03 eta: 4:23:27 time: 0.8166 data_time: 0.0177 memory: 13723 grad_norm: 5.0465 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6722 loss: 0.6722 2022/08/09 23:00:49 - mmengine - INFO - Epoch(train) [87][760/1879] lr: 2.0000e-03 eta: 4:23:15 time: 0.6496 data_time: 0.0205 memory: 13723 grad_norm: 5.0618 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6294 loss: 0.6294 2022/08/09 23:01:02 - mmengine - INFO - Epoch(train) [87][780/1879] lr: 2.0000e-03 eta: 4:23:03 time: 0.6883 data_time: 0.0533 memory: 13723 grad_norm: 4.7939 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5853 loss: 0.5853 2022/08/09 23:01:24 - mmengine - INFO - Epoch(train) [87][800/1879] lr: 2.0000e-03 eta: 4:22:52 time: 1.0946 data_time: 0.1284 memory: 13723 grad_norm: 4.9734 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5883 loss: 0.5883 2022/08/09 23:01:40 - mmengine - INFO - Epoch(train) [87][820/1879] lr: 2.0000e-03 eta: 4:22:40 time: 0.7804 data_time: 0.0197 memory: 13723 grad_norm: 5.1525 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5129 loss: 0.5129 2022/08/09 23:01:53 - mmengine - INFO - Epoch(train) [87][840/1879] lr: 2.0000e-03 eta: 4:22:28 time: 0.6664 data_time: 0.1161 memory: 13723 grad_norm: 4.9789 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6249 loss: 0.6249 2022/08/09 23:02:11 - mmengine - INFO - Epoch(train) [87][860/1879] lr: 2.0000e-03 eta: 4:22:17 time: 0.8655 data_time: 0.1805 memory: 13723 grad_norm: 5.0414 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6241 loss: 0.6241 2022/08/09 23:02:23 - mmengine - INFO - Epoch(train) [87][880/1879] lr: 2.0000e-03 eta: 4:22:04 time: 0.6371 data_time: 0.0209 memory: 13723 grad_norm: 5.0477 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5363 loss: 0.5363 2022/08/09 23:02:38 - mmengine - INFO - Epoch(train) [87][900/1879] lr: 2.0000e-03 eta: 4:21:52 time: 0.7132 data_time: 0.0747 memory: 13723 grad_norm: 4.9661 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5099 loss: 0.5099 2022/08/09 23:02:58 - mmengine - INFO - Epoch(train) [87][920/1879] lr: 2.0000e-03 eta: 4:21:41 time: 1.0098 data_time: 0.0183 memory: 13723 grad_norm: 5.1294 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7033 loss: 0.7033 2022/08/09 23:03:11 - mmengine - INFO - Epoch(train) [87][940/1879] lr: 2.0000e-03 eta: 4:21:29 time: 0.6555 data_time: 0.0172 memory: 13723 grad_norm: 5.1453 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7155 loss: 0.7155 2022/08/09 23:03:24 - mmengine - INFO - Epoch(train) [87][960/1879] lr: 2.0000e-03 eta: 4:21:16 time: 0.6555 data_time: 0.0202 memory: 13723 grad_norm: 4.8833 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6122 loss: 0.6122 2022/08/09 23:03:43 - mmengine - INFO - Epoch(train) [87][980/1879] lr: 2.0000e-03 eta: 4:21:05 time: 0.9237 data_time: 0.3162 memory: 13723 grad_norm: 4.8040 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.5877 loss: 0.5877 2022/08/09 23:03:57 - mmengine - INFO - Epoch(train) [87][1000/1879] lr: 2.0000e-03 eta: 4:20:53 time: 0.7400 data_time: 0.0167 memory: 13723 grad_norm: 5.0709 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.7417 loss: 0.7417 2022/08/09 23:04:12 - mmengine - INFO - Epoch(train) [87][1020/1879] lr: 2.0000e-03 eta: 4:20:41 time: 0.7492 data_time: 0.1235 memory: 13723 grad_norm: 4.9454 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6091 loss: 0.6091 2022/08/09 23:04:29 - mmengine - INFO - Epoch(train) [87][1040/1879] lr: 2.0000e-03 eta: 4:20:29 time: 0.8287 data_time: 0.0191 memory: 13723 grad_norm: 5.1581 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6362 loss: 0.6362 2022/08/09 23:04:46 - mmengine - INFO - Epoch(train) [87][1060/1879] lr: 2.0000e-03 eta: 4:20:18 time: 0.8493 data_time: 0.0207 memory: 13723 grad_norm: 4.9280 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6107 loss: 0.6107 2022/08/09 23:05:01 - mmengine - INFO - Epoch(train) [87][1080/1879] lr: 2.0000e-03 eta: 4:20:06 time: 0.7680 data_time: 0.1352 memory: 13723 grad_norm: 4.9739 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5710 loss: 0.5710 2022/08/09 23:05:20 - mmengine - INFO - Epoch(train) [87][1100/1879] lr: 2.0000e-03 eta: 4:19:54 time: 0.9093 data_time: 0.0172 memory: 13723 grad_norm: 4.9903 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6711 loss: 0.6711 2022/08/09 23:05:39 - mmengine - INFO - Epoch(train) [87][1120/1879] lr: 2.0000e-03 eta: 4:19:43 time: 0.9429 data_time: 0.0239 memory: 13723 grad_norm: 5.0893 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7668 loss: 0.7668 2022/08/09 23:05:59 - mmengine - INFO - Epoch(train) [87][1140/1879] lr: 2.0000e-03 eta: 4:19:32 time: 1.0389 data_time: 0.0196 memory: 13723 grad_norm: 5.0088 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5416 loss: 0.5416 2022/08/09 23:06:14 - mmengine - INFO - Epoch(train) [87][1160/1879] lr: 2.0000e-03 eta: 4:19:20 time: 0.7446 data_time: 0.0192 memory: 13723 grad_norm: 5.1673 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7388 loss: 0.7388 2022/08/09 23:06:32 - mmengine - INFO - Epoch(train) [87][1180/1879] lr: 2.0000e-03 eta: 4:19:08 time: 0.8876 data_time: 0.0185 memory: 13723 grad_norm: 4.9777 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6132 loss: 0.6132 2022/08/09 23:06:47 - mmengine - INFO - Epoch(train) [87][1200/1879] lr: 2.0000e-03 eta: 4:18:56 time: 0.7422 data_time: 0.0212 memory: 13723 grad_norm: 4.9482 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5123 loss: 0.5123 2022/08/09 23:07:09 - mmengine - INFO - Epoch(train) [87][1220/1879] lr: 2.0000e-03 eta: 4:18:46 time: 1.1153 data_time: 0.0194 memory: 13723 grad_norm: 5.0290 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6727 loss: 0.6727 2022/08/09 23:07:25 - mmengine - INFO - Epoch(train) [87][1240/1879] lr: 2.0000e-03 eta: 4:18:34 time: 0.8029 data_time: 0.0230 memory: 13723 grad_norm: 4.9699 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6557 loss: 0.6557 2022/08/09 23:07:44 - mmengine - INFO - Epoch(train) [87][1260/1879] lr: 2.0000e-03 eta: 4:18:22 time: 0.9129 data_time: 0.3661 memory: 13723 grad_norm: 4.9287 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6144 loss: 0.6144 2022/08/09 23:07:58 - mmengine - INFO - Epoch(train) [87][1280/1879] lr: 2.0000e-03 eta: 4:18:10 time: 0.7366 data_time: 0.1941 memory: 13723 grad_norm: 4.9884 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7322 loss: 0.7322 2022/08/09 23:08:17 - mmengine - INFO - Epoch(train) [87][1300/1879] lr: 2.0000e-03 eta: 4:17:59 time: 0.9233 data_time: 0.1085 memory: 13723 grad_norm: 4.9238 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5956 loss: 0.5956 2022/08/09 23:08:36 - mmengine - INFO - Epoch(train) [87][1320/1879] lr: 2.0000e-03 eta: 4:17:48 time: 0.9837 data_time: 0.0194 memory: 13723 grad_norm: 4.9652 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7983 loss: 0.7983 2022/08/09 23:08:53 - mmengine - INFO - Epoch(train) [87][1340/1879] lr: 2.0000e-03 eta: 4:17:36 time: 0.8145 data_time: 0.0176 memory: 13723 grad_norm: 5.1613 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7240 loss: 0.7240 2022/08/09 23:09:10 - mmengine - INFO - Epoch(train) [87][1360/1879] lr: 2.0000e-03 eta: 4:17:24 time: 0.8421 data_time: 0.0215 memory: 13723 grad_norm: 5.1361 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6610 loss: 0.6610 2022/08/09 23:09:25 - mmengine - INFO - Epoch(train) [87][1380/1879] lr: 2.0000e-03 eta: 4:17:12 time: 0.7731 data_time: 0.0218 memory: 13723 grad_norm: 4.9408 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5503 loss: 0.5503 2022/08/09 23:09:40 - mmengine - INFO - Epoch(train) [87][1400/1879] lr: 2.0000e-03 eta: 4:17:00 time: 0.7495 data_time: 0.0199 memory: 13723 grad_norm: 5.2022 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6863 loss: 0.6863 2022/08/09 23:09:44 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 23:09:59 - mmengine - INFO - Epoch(train) [87][1420/1879] lr: 2.0000e-03 eta: 4:16:49 time: 0.9502 data_time: 0.4000 memory: 13723 grad_norm: 4.9671 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5288 loss: 0.5288 2022/08/09 23:10:16 - mmengine - INFO - Epoch(train) [87][1440/1879] lr: 2.0000e-03 eta: 4:16:37 time: 0.8608 data_time: 0.3182 memory: 13723 grad_norm: 5.0238 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8398 loss: 0.8398 2022/08/09 23:10:31 - mmengine - INFO - Epoch(train) [87][1460/1879] lr: 2.0000e-03 eta: 4:16:25 time: 0.7474 data_time: 0.0918 memory: 13723 grad_norm: 5.1495 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5728 loss: 0.5728 2022/08/09 23:10:48 - mmengine - INFO - Epoch(train) [87][1480/1879] lr: 2.0000e-03 eta: 4:16:13 time: 0.8510 data_time: 0.0180 memory: 13723 grad_norm: 4.9408 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6961 loss: 0.6961 2022/08/09 23:11:02 - mmengine - INFO - Epoch(train) [87][1500/1879] lr: 2.0000e-03 eta: 4:16:01 time: 0.6861 data_time: 0.0896 memory: 13723 grad_norm: 5.0259 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6445 loss: 0.6445 2022/08/09 23:11:17 - mmengine - INFO - Epoch(train) [87][1520/1879] lr: 2.0000e-03 eta: 4:15:49 time: 0.7491 data_time: 0.1425 memory: 13723 grad_norm: 5.1201 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7463 loss: 0.7463 2022/08/09 23:11:33 - mmengine - INFO - Epoch(train) [87][1540/1879] lr: 2.0000e-03 eta: 4:15:37 time: 0.7792 data_time: 0.0245 memory: 13723 grad_norm: 5.0776 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6330 loss: 0.6330 2022/08/09 23:11:45 - mmengine - INFO - Epoch(train) [87][1560/1879] lr: 2.0000e-03 eta: 4:15:25 time: 0.6321 data_time: 0.0161 memory: 13723 grad_norm: 5.1268 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7548 loss: 0.7548 2022/08/09 23:12:03 - mmengine - INFO - Epoch(train) [87][1580/1879] lr: 2.0000e-03 eta: 4:15:13 time: 0.8755 data_time: 0.0322 memory: 13723 grad_norm: 5.0807 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7533 loss: 0.7533 2022/08/09 23:12:16 - mmengine - INFO - Epoch(train) [87][1600/1879] lr: 2.0000e-03 eta: 4:15:01 time: 0.6718 data_time: 0.0183 memory: 13723 grad_norm: 5.2664 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7218 loss: 0.7218 2022/08/09 23:12:32 - mmengine - INFO - Epoch(train) [87][1620/1879] lr: 2.0000e-03 eta: 4:14:49 time: 0.7701 data_time: 0.1683 memory: 13723 grad_norm: 4.8665 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6053 loss: 0.6053 2022/08/09 23:12:50 - mmengine - INFO - Epoch(train) [87][1640/1879] lr: 2.0000e-03 eta: 4:14:38 time: 0.9225 data_time: 0.0144 memory: 13723 grad_norm: 4.9377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6671 loss: 0.6671 2022/08/09 23:13:06 - mmengine - INFO - Epoch(train) [87][1660/1879] lr: 2.0000e-03 eta: 4:14:26 time: 0.8045 data_time: 0.0224 memory: 13723 grad_norm: 4.9727 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7066 loss: 0.7066 2022/08/09 23:13:21 - mmengine - INFO - Epoch(train) [87][1680/1879] lr: 2.0000e-03 eta: 4:14:14 time: 0.7145 data_time: 0.0183 memory: 13723 grad_norm: 5.1044 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6437 loss: 0.6437 2022/08/09 23:13:37 - mmengine - INFO - Epoch(train) [87][1700/1879] lr: 2.0000e-03 eta: 4:14:02 time: 0.8227 data_time: 0.0187 memory: 13723 grad_norm: 4.9678 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5555 loss: 0.5555 2022/08/09 23:13:53 - mmengine - INFO - Epoch(train) [87][1720/1879] lr: 2.0000e-03 eta: 4:13:50 time: 0.8043 data_time: 0.0835 memory: 13723 grad_norm: 5.0934 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5391 loss: 0.5391 2022/08/09 23:14:10 - mmengine - INFO - Epoch(train) [87][1740/1879] lr: 2.0000e-03 eta: 4:13:38 time: 0.8223 data_time: 0.0148 memory: 13723 grad_norm: 5.1356 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5738 loss: 0.5738 2022/08/09 23:14:27 - mmengine - INFO - Epoch(train) [87][1760/1879] lr: 2.0000e-03 eta: 4:13:27 time: 0.8650 data_time: 0.0217 memory: 13723 grad_norm: 4.9720 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6348 loss: 0.6348 2022/08/09 23:14:39 - mmengine - INFO - Epoch(train) [87][1780/1879] lr: 2.0000e-03 eta: 4:13:14 time: 0.6172 data_time: 0.0660 memory: 13723 grad_norm: 5.0995 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7676 loss: 0.7676 2022/08/09 23:15:04 - mmengine - INFO - Epoch(train) [87][1800/1879] lr: 2.0000e-03 eta: 4:13:04 time: 1.2503 data_time: 0.5259 memory: 13723 grad_norm: 5.0318 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6995 loss: 0.6995 2022/08/09 23:15:17 - mmengine - INFO - Epoch(train) [87][1820/1879] lr: 2.0000e-03 eta: 4:12:52 time: 0.6394 data_time: 0.0892 memory: 13723 grad_norm: 5.0163 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8155 loss: 0.8155 2022/08/09 23:15:33 - mmengine - INFO - Epoch(train) [87][1840/1879] lr: 2.0000e-03 eta: 4:12:40 time: 0.7672 data_time: 0.0239 memory: 13723 grad_norm: 4.8967 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5933 loss: 0.5933 2022/08/09 23:15:49 - mmengine - INFO - Epoch(train) [87][1860/1879] lr: 2.0000e-03 eta: 4:12:28 time: 0.8280 data_time: 0.0919 memory: 13723 grad_norm: 5.1182 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6380 loss: 0.6380 2022/08/09 23:16:08 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 23:16:08 - mmengine - INFO - Epoch(train) [87][1879/1879] lr: 2.0000e-03 eta: 4:12:28 time: 0.9640 data_time: 0.0131 memory: 13723 grad_norm: 5.0577 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.5686 loss: 0.5686 2022/08/09 23:16:08 - mmengine - INFO - Saving checkpoint at 87 epochs 2022/08/09 23:16:21 - mmengine - INFO - Epoch(val) [87][20/155] eta: 0:01:20 time: 0.5929 data_time: 0.4540 memory: 1829 2022/08/09 23:16:28 - mmengine - INFO - Epoch(val) [87][40/155] eta: 0:00:38 time: 0.3341 data_time: 0.1978 memory: 1829 2022/08/09 23:16:37 - mmengine - INFO - Epoch(val) [87][60/155] eta: 0:00:40 time: 0.4312 data_time: 0.2958 memory: 1829 2022/08/09 23:16:44 - mmengine - INFO - Epoch(val) [87][80/155] eta: 0:00:25 time: 0.3381 data_time: 0.2018 memory: 1829 2022/08/09 23:16:53 - mmengine - INFO - Epoch(val) [87][100/155] eta: 0:00:25 time: 0.4549 data_time: 0.3182 memory: 1829 2022/08/09 23:17:01 - mmengine - INFO - Epoch(val) [87][120/155] eta: 0:00:14 time: 0.4044 data_time: 0.2674 memory: 1829 2022/08/09 23:17:10 - mmengine - INFO - Epoch(val) [87][140/155] eta: 0:00:06 time: 0.4449 data_time: 0.3083 memory: 1829 2022/08/09 23:18:10 - mmengine - INFO - Epoch(val) [87][155/155] acc/top1: 0.7089 acc/top5: 0.8935 acc/mean1: 0.7088 2022/08/09 23:18:32 - mmengine - INFO - Epoch(train) [88][20/1879] lr: 2.0000e-03 eta: 4:12:03 time: 1.0890 data_time: 0.5324 memory: 13723 grad_norm: 4.9025 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5887 loss: 0.5887 2022/08/09 23:18:50 - mmengine - INFO - Epoch(train) [88][40/1879] lr: 2.0000e-03 eta: 4:11:52 time: 0.8651 data_time: 0.1333 memory: 13723 grad_norm: 4.9365 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6125 loss: 0.6125 2022/08/09 23:19:09 - mmengine - INFO - Epoch(train) [88][60/1879] lr: 2.0000e-03 eta: 4:11:40 time: 0.9589 data_time: 0.4173 memory: 13723 grad_norm: 4.8254 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6729 loss: 0.6729 2022/08/09 23:19:23 - mmengine - INFO - Epoch(train) [88][80/1879] lr: 2.0000e-03 eta: 4:11:28 time: 0.7326 data_time: 0.1915 memory: 13723 grad_norm: 5.0468 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5038 loss: 0.5038 2022/08/09 23:19:43 - mmengine - INFO - Epoch(train) [88][100/1879] lr: 2.0000e-03 eta: 4:11:17 time: 0.9867 data_time: 0.0192 memory: 13723 grad_norm: 4.9526 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5177 loss: 0.5177 2022/08/09 23:20:06 - mmengine - INFO - Epoch(train) [88][120/1879] lr: 2.0000e-03 eta: 4:11:06 time: 1.1437 data_time: 0.0756 memory: 13723 grad_norm: 5.0460 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7319 loss: 0.7319 2022/08/09 23:20:21 - mmengine - INFO - Epoch(train) [88][140/1879] lr: 2.0000e-03 eta: 4:10:54 time: 0.7410 data_time: 0.0782 memory: 13723 grad_norm: 4.9180 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7046 loss: 0.7046 2022/08/09 23:20:40 - mmengine - INFO - Epoch(train) [88][160/1879] lr: 2.0000e-03 eta: 4:10:43 time: 0.9621 data_time: 0.0210 memory: 13723 grad_norm: 4.8399 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4995 loss: 0.4995 2022/08/09 23:20:54 - mmengine - INFO - Epoch(train) [88][180/1879] lr: 2.0000e-03 eta: 4:10:31 time: 0.6992 data_time: 0.0324 memory: 13723 grad_norm: 4.9656 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6182 loss: 0.6182 2022/08/09 23:21:06 - mmengine - INFO - Epoch(train) [88][200/1879] lr: 2.0000e-03 eta: 4:10:18 time: 0.5960 data_time: 0.0291 memory: 13723 grad_norm: 5.1363 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6590 loss: 0.6590 2022/08/09 23:21:21 - mmengine - INFO - Epoch(train) [88][220/1879] lr: 2.0000e-03 eta: 4:10:06 time: 0.7358 data_time: 0.0212 memory: 13723 grad_norm: 4.7360 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5497 loss: 0.5497 2022/08/09 23:21:32 - mmengine - INFO - Epoch(train) [88][240/1879] lr: 2.0000e-03 eta: 4:09:53 time: 0.5674 data_time: 0.0203 memory: 13723 grad_norm: 4.8701 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7983 loss: 0.7983 2022/08/09 23:21:48 - mmengine - INFO - Epoch(train) [88][260/1879] lr: 2.0000e-03 eta: 4:09:41 time: 0.7773 data_time: 0.0942 memory: 13723 grad_norm: 4.8526 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5299 loss: 0.5299 2022/08/09 23:21:59 - mmengine - INFO - Epoch(train) [88][280/1879] lr: 2.0000e-03 eta: 4:09:29 time: 0.5748 data_time: 0.0223 memory: 13723 grad_norm: 4.8939 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6110 loss: 0.6110 2022/08/09 23:22:14 - mmengine - INFO - Epoch(train) [88][300/1879] lr: 2.0000e-03 eta: 4:09:17 time: 0.7229 data_time: 0.0285 memory: 13723 grad_norm: 5.0201 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5865 loss: 0.5865 2022/08/09 23:22:28 - mmengine - INFO - Epoch(train) [88][320/1879] lr: 2.0000e-03 eta: 4:09:05 time: 0.6866 data_time: 0.1169 memory: 13723 grad_norm: 4.9030 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7152 loss: 0.7152 2022/08/09 23:22:44 - mmengine - INFO - Epoch(train) [88][340/1879] lr: 2.0000e-03 eta: 4:08:53 time: 0.7991 data_time: 0.2597 memory: 13723 grad_norm: 4.9465 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6770 loss: 0.6770 2022/08/09 23:22:59 - mmengine - INFO - Epoch(train) [88][360/1879] lr: 2.0000e-03 eta: 4:08:41 time: 0.7504 data_time: 0.0195 memory: 13723 grad_norm: 5.0702 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6197 loss: 0.6197 2022/08/09 23:23:13 - mmengine - INFO - Epoch(train) [88][380/1879] lr: 2.0000e-03 eta: 4:08:29 time: 0.6997 data_time: 0.0211 memory: 13723 grad_norm: 4.9951 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5985 loss: 0.5985 2022/08/09 23:23:27 - mmengine - INFO - Epoch(train) [88][400/1879] lr: 2.0000e-03 eta: 4:08:17 time: 0.7222 data_time: 0.0163 memory: 13723 grad_norm: 4.9331 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6348 loss: 0.6348 2022/08/09 23:23:40 - mmengine - INFO - Epoch(train) [88][420/1879] lr: 2.0000e-03 eta: 4:08:04 time: 0.6733 data_time: 0.0257 memory: 13723 grad_norm: 5.0623 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6552 loss: 0.6552 2022/08/09 23:23:56 - mmengine - INFO - Epoch(train) [88][440/1879] lr: 2.0000e-03 eta: 4:07:52 time: 0.7607 data_time: 0.0175 memory: 13723 grad_norm: 5.1819 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6949 loss: 0.6949 2022/08/09 23:24:08 - mmengine - INFO - Epoch(train) [88][460/1879] lr: 2.0000e-03 eta: 4:07:40 time: 0.5981 data_time: 0.0237 memory: 13723 grad_norm: 5.0092 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6792 loss: 0.6792 2022/08/09 23:24:24 - mmengine - INFO - Epoch(train) [88][480/1879] lr: 2.0000e-03 eta: 4:07:28 time: 0.8037 data_time: 0.0187 memory: 13723 grad_norm: 4.9380 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6939 loss: 0.6939 2022/08/09 23:24:38 - mmengine - INFO - Epoch(train) [88][500/1879] lr: 2.0000e-03 eta: 4:07:16 time: 0.7334 data_time: 0.0212 memory: 13723 grad_norm: 4.8857 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5482 loss: 0.5482 2022/08/09 23:24:53 - mmengine - INFO - Epoch(train) [88][520/1879] lr: 2.0000e-03 eta: 4:07:04 time: 0.7088 data_time: 0.1684 memory: 13723 grad_norm: 4.9922 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.7804 loss: 0.7804 2022/08/09 23:24:57 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 23:25:06 - mmengine - INFO - Epoch(train) [88][540/1879] lr: 2.0000e-03 eta: 4:06:51 time: 0.6709 data_time: 0.1242 memory: 13723 grad_norm: 5.1122 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5350 loss: 0.5350 2022/08/09 23:25:19 - mmengine - INFO - Epoch(train) [88][560/1879] lr: 2.0000e-03 eta: 4:06:39 time: 0.6324 data_time: 0.0727 memory: 13723 grad_norm: 5.2490 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7162 loss: 0.7162 2022/08/09 23:25:32 - mmengine - INFO - Epoch(train) [88][580/1879] lr: 2.0000e-03 eta: 4:06:27 time: 0.6530 data_time: 0.0213 memory: 13723 grad_norm: 4.8843 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6218 loss: 0.6218 2022/08/09 23:25:46 - mmengine - INFO - Epoch(train) [88][600/1879] lr: 2.0000e-03 eta: 4:06:15 time: 0.6865 data_time: 0.0502 memory: 13723 grad_norm: 4.8648 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6095 loss: 0.6095 2022/08/09 23:26:00 - mmengine - INFO - Epoch(train) [88][620/1879] lr: 2.0000e-03 eta: 4:06:03 time: 0.7443 data_time: 0.1709 memory: 13723 grad_norm: 5.0091 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6146 loss: 0.6146 2022/08/09 23:26:14 - mmengine - INFO - Epoch(train) [88][640/1879] lr: 2.0000e-03 eta: 4:05:50 time: 0.6990 data_time: 0.0923 memory: 13723 grad_norm: 5.0912 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5695 loss: 0.5695 2022/08/09 23:26:37 - mmengine - INFO - Epoch(train) [88][660/1879] lr: 2.0000e-03 eta: 4:05:39 time: 1.1008 data_time: 0.5570 memory: 13723 grad_norm: 4.8686 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5295 loss: 0.5295 2022/08/09 23:26:52 - mmengine - INFO - Epoch(train) [88][680/1879] lr: 2.0000e-03 eta: 4:05:27 time: 0.7808 data_time: 0.2408 memory: 13723 grad_norm: 5.0940 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6526 loss: 0.6526 2022/08/09 23:27:05 - mmengine - INFO - Epoch(train) [88][700/1879] lr: 2.0000e-03 eta: 4:05:15 time: 0.6495 data_time: 0.0587 memory: 13723 grad_norm: 4.9563 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6320 loss: 0.6320 2022/08/09 23:27:23 - mmengine - INFO - Epoch(train) [88][720/1879] lr: 2.0000e-03 eta: 4:05:03 time: 0.8826 data_time: 0.1814 memory: 13723 grad_norm: 5.0726 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6210 loss: 0.6210 2022/08/09 23:27:38 - mmengine - INFO - Epoch(train) [88][740/1879] lr: 2.0000e-03 eta: 4:04:52 time: 0.7711 data_time: 0.1629 memory: 13723 grad_norm: 4.8386 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6601 loss: 0.6601 2022/08/09 23:27:52 - mmengine - INFO - Epoch(train) [88][760/1879] lr: 2.0000e-03 eta: 4:04:39 time: 0.7062 data_time: 0.0214 memory: 13723 grad_norm: 5.0239 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7029 loss: 0.7029 2022/08/09 23:28:07 - mmengine - INFO - Epoch(train) [88][780/1879] lr: 2.0000e-03 eta: 4:04:27 time: 0.7308 data_time: 0.1546 memory: 13723 grad_norm: 5.0594 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6250 loss: 0.6250 2022/08/09 23:28:24 - mmengine - INFO - Epoch(train) [88][800/1879] lr: 2.0000e-03 eta: 4:04:15 time: 0.8283 data_time: 0.2812 memory: 13723 grad_norm: 5.1931 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6363 loss: 0.6363 2022/08/09 23:28:37 - mmengine - INFO - Epoch(train) [88][820/1879] lr: 2.0000e-03 eta: 4:04:03 time: 0.6551 data_time: 0.1077 memory: 13723 grad_norm: 4.8608 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5917 loss: 0.5917 2022/08/09 23:28:52 - mmengine - INFO - Epoch(train) [88][840/1879] lr: 2.0000e-03 eta: 4:03:51 time: 0.7805 data_time: 0.0171 memory: 13723 grad_norm: 5.2013 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6258 loss: 0.6258 2022/08/09 23:29:04 - mmengine - INFO - Epoch(train) [88][860/1879] lr: 2.0000e-03 eta: 4:03:39 time: 0.5696 data_time: 0.0235 memory: 13723 grad_norm: 4.9727 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6614 loss: 0.6614 2022/08/09 23:29:18 - mmengine - INFO - Epoch(train) [88][880/1879] lr: 2.0000e-03 eta: 4:03:26 time: 0.6907 data_time: 0.1414 memory: 13723 grad_norm: 4.8612 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6911 loss: 0.6911 2022/08/09 23:29:37 - mmengine - INFO - Epoch(train) [88][900/1879] lr: 2.0000e-03 eta: 4:03:15 time: 0.9547 data_time: 0.0215 memory: 13723 grad_norm: 5.0102 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6788 loss: 0.6788 2022/08/09 23:29:50 - mmengine - INFO - Epoch(train) [88][920/1879] lr: 2.0000e-03 eta: 4:03:03 time: 0.6705 data_time: 0.0232 memory: 13723 grad_norm: 5.2272 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7547 loss: 0.7547 2022/08/09 23:30:09 - mmengine - INFO - Epoch(train) [88][940/1879] lr: 2.0000e-03 eta: 4:02:51 time: 0.9221 data_time: 0.0176 memory: 13723 grad_norm: 5.1912 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7046 loss: 0.7046 2022/08/09 23:30:26 - mmengine - INFO - Epoch(train) [88][960/1879] lr: 2.0000e-03 eta: 4:02:39 time: 0.8565 data_time: 0.0207 memory: 13723 grad_norm: 5.0829 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5144 loss: 0.5144 2022/08/09 23:30:46 - mmengine - INFO - Epoch(train) [88][980/1879] lr: 2.0000e-03 eta: 4:02:28 time: 0.9902 data_time: 0.0201 memory: 13723 grad_norm: 5.0882 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4984 loss: 0.4984 2022/08/09 23:30:58 - mmengine - INFO - Epoch(train) [88][1000/1879] lr: 2.0000e-03 eta: 4:02:16 time: 0.6277 data_time: 0.0223 memory: 13723 grad_norm: 5.1094 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7485 loss: 0.7485 2022/08/09 23:31:14 - mmengine - INFO - Epoch(train) [88][1020/1879] lr: 2.0000e-03 eta: 4:02:04 time: 0.8076 data_time: 0.2146 memory: 13723 grad_norm: 5.0616 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6096 loss: 0.6096 2022/08/09 23:31:30 - mmengine - INFO - Epoch(train) [88][1040/1879] lr: 2.0000e-03 eta: 4:01:52 time: 0.7999 data_time: 0.2529 memory: 13723 grad_norm: 4.8307 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6228 loss: 0.6228 2022/08/09 23:31:42 - mmengine - INFO - Epoch(train) [88][1060/1879] lr: 2.0000e-03 eta: 4:01:39 time: 0.5881 data_time: 0.0220 memory: 13723 grad_norm: 5.0590 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6786 loss: 0.6786 2022/08/09 23:31:59 - mmengine - INFO - Epoch(train) [88][1080/1879] lr: 2.0000e-03 eta: 4:01:28 time: 0.8548 data_time: 0.1290 memory: 13723 grad_norm: 4.9845 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5670 loss: 0.5670 2022/08/09 23:32:13 - mmengine - INFO - Epoch(train) [88][1100/1879] lr: 2.0000e-03 eta: 4:01:15 time: 0.6979 data_time: 0.1346 memory: 13723 grad_norm: 4.8923 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5978 loss: 0.5978 2022/08/09 23:32:30 - mmengine - INFO - Epoch(train) [88][1120/1879] lr: 2.0000e-03 eta: 4:01:04 time: 0.8364 data_time: 0.2840 memory: 13723 grad_norm: 5.2076 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6209 loss: 0.6209 2022/08/09 23:32:43 - mmengine - INFO - Epoch(train) [88][1140/1879] lr: 2.0000e-03 eta: 4:00:51 time: 0.6745 data_time: 0.1323 memory: 13723 grad_norm: 5.0982 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5726 loss: 0.5726 2022/08/09 23:32:58 - mmengine - INFO - Epoch(train) [88][1160/1879] lr: 2.0000e-03 eta: 4:00:39 time: 0.7052 data_time: 0.1407 memory: 13723 grad_norm: 4.8322 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5901 loss: 0.5901 2022/08/09 23:33:11 - mmengine - INFO - Epoch(train) [88][1180/1879] lr: 2.0000e-03 eta: 4:00:27 time: 0.6650 data_time: 0.0182 memory: 13723 grad_norm: 5.2443 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8686 loss: 0.8686 2022/08/09 23:33:23 - mmengine - INFO - Epoch(train) [88][1200/1879] lr: 2.0000e-03 eta: 4:00:14 time: 0.5996 data_time: 0.0225 memory: 13723 grad_norm: 5.0627 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6304 loss: 0.6304 2022/08/09 23:33:37 - mmengine - INFO - Epoch(train) [88][1220/1879] lr: 2.0000e-03 eta: 4:00:02 time: 0.7283 data_time: 0.0222 memory: 13723 grad_norm: 4.9893 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7330 loss: 0.7330 2022/08/09 23:33:55 - mmengine - INFO - Epoch(train) [88][1240/1879] lr: 2.0000e-03 eta: 3:59:51 time: 0.8628 data_time: 0.0168 memory: 13723 grad_norm: 5.0162 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5570 loss: 0.5570 2022/08/09 23:34:13 - mmengine - INFO - Epoch(train) [88][1260/1879] lr: 2.0000e-03 eta: 3:59:39 time: 0.9184 data_time: 0.0441 memory: 13723 grad_norm: 5.1163 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6698 loss: 0.6698 2022/08/09 23:34:27 - mmengine - INFO - Epoch(train) [88][1280/1879] lr: 2.0000e-03 eta: 3:59:27 time: 0.7135 data_time: 0.0186 memory: 13723 grad_norm: 4.9502 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.6143 loss: 0.6143 2022/08/09 23:34:44 - mmengine - INFO - Epoch(train) [88][1300/1879] lr: 2.0000e-03 eta: 3:59:15 time: 0.8064 data_time: 0.0207 memory: 13723 grad_norm: 4.9521 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6163 loss: 0.6163 2022/08/09 23:34:59 - mmengine - INFO - Epoch(train) [88][1320/1879] lr: 2.0000e-03 eta: 3:59:03 time: 0.7777 data_time: 0.0232 memory: 13723 grad_norm: 5.0505 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6824 loss: 0.6824 2022/08/09 23:35:11 - mmengine - INFO - Epoch(train) [88][1340/1879] lr: 2.0000e-03 eta: 3:58:51 time: 0.5683 data_time: 0.0194 memory: 13723 grad_norm: 5.1127 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7677 loss: 0.7677 2022/08/09 23:35:26 - mmengine - INFO - Epoch(train) [88][1360/1879] lr: 2.0000e-03 eta: 3:58:38 time: 0.7544 data_time: 0.0212 memory: 13723 grad_norm: 5.0374 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8098 loss: 0.8098 2022/08/09 23:35:38 - mmengine - INFO - Epoch(train) [88][1380/1879] lr: 2.0000e-03 eta: 3:58:26 time: 0.6030 data_time: 0.0265 memory: 13723 grad_norm: 5.0753 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6879 loss: 0.6879 2022/08/09 23:35:52 - mmengine - INFO - Epoch(train) [88][1400/1879] lr: 2.0000e-03 eta: 3:58:14 time: 0.7014 data_time: 0.0551 memory: 13723 grad_norm: 5.0774 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6855 loss: 0.6855 2022/08/09 23:36:03 - mmengine - INFO - Epoch(train) [88][1420/1879] lr: 2.0000e-03 eta: 3:58:01 time: 0.5781 data_time: 0.0262 memory: 13723 grad_norm: 4.8997 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5934 loss: 0.5934 2022/08/09 23:36:16 - mmengine - INFO - Epoch(train) [88][1440/1879] lr: 2.0000e-03 eta: 3:57:49 time: 0.6403 data_time: 0.0965 memory: 13723 grad_norm: 5.0604 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6646 loss: 0.6646 2022/08/09 23:36:31 - mmengine - INFO - Epoch(train) [88][1460/1879] lr: 2.0000e-03 eta: 3:57:37 time: 0.7275 data_time: 0.0223 memory: 13723 grad_norm: 5.0952 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5825 loss: 0.5825 2022/08/09 23:36:47 - mmengine - INFO - Epoch(train) [88][1480/1879] lr: 2.0000e-03 eta: 3:57:25 time: 0.7968 data_time: 0.0178 memory: 13723 grad_norm: 5.2131 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6358 loss: 0.6358 2022/08/09 23:37:04 - mmengine - INFO - Epoch(train) [88][1500/1879] lr: 2.0000e-03 eta: 3:57:13 time: 0.8415 data_time: 0.0219 memory: 13723 grad_norm: 5.0357 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5974 loss: 0.5974 2022/08/09 23:37:16 - mmengine - INFO - Epoch(train) [88][1520/1879] lr: 2.0000e-03 eta: 3:57:01 time: 0.6228 data_time: 0.0752 memory: 13723 grad_norm: 4.9735 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6710 loss: 0.6710 2022/08/09 23:37:20 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 23:37:28 - mmengine - INFO - Epoch(train) [88][1540/1879] lr: 2.0000e-03 eta: 3:56:48 time: 0.6094 data_time: 0.0464 memory: 13723 grad_norm: 4.9652 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6017 loss: 0.6017 2022/08/09 23:37:45 - mmengine - INFO - Epoch(train) [88][1560/1879] lr: 2.0000e-03 eta: 3:56:36 time: 0.8315 data_time: 0.2793 memory: 13723 grad_norm: 5.0883 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6840 loss: 0.6840 2022/08/09 23:37:59 - mmengine - INFO - Epoch(train) [88][1580/1879] lr: 2.0000e-03 eta: 3:56:24 time: 0.6981 data_time: 0.1065 memory: 13723 grad_norm: 5.0525 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5235 loss: 0.5235 2022/08/09 23:38:12 - mmengine - INFO - Epoch(train) [88][1600/1879] lr: 2.0000e-03 eta: 3:56:12 time: 0.6437 data_time: 0.0202 memory: 13723 grad_norm: 5.3765 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7025 loss: 0.7025 2022/08/09 23:38:25 - mmengine - INFO - Epoch(train) [88][1620/1879] lr: 2.0000e-03 eta: 3:56:00 time: 0.6851 data_time: 0.1383 memory: 13723 grad_norm: 5.3807 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6683 loss: 0.6683 2022/08/09 23:38:43 - mmengine - INFO - Epoch(train) [88][1640/1879] lr: 2.0000e-03 eta: 3:55:48 time: 0.8653 data_time: 0.0618 memory: 13723 grad_norm: 4.9889 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7112 loss: 0.7112 2022/08/09 23:38:56 - mmengine - INFO - Epoch(train) [88][1660/1879] lr: 2.0000e-03 eta: 3:55:35 time: 0.6447 data_time: 0.0227 memory: 13723 grad_norm: 4.8761 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5922 loss: 0.5922 2022/08/09 23:39:07 - mmengine - INFO - Epoch(train) [88][1680/1879] lr: 2.0000e-03 eta: 3:55:23 time: 0.5812 data_time: 0.0197 memory: 13723 grad_norm: 5.1559 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6244 loss: 0.6244 2022/08/09 23:39:22 - mmengine - INFO - Epoch(train) [88][1700/1879] lr: 2.0000e-03 eta: 3:55:11 time: 0.7330 data_time: 0.0311 memory: 13723 grad_norm: 5.3244 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5615 loss: 0.5615 2022/08/09 23:39:38 - mmengine - INFO - Epoch(train) [88][1720/1879] lr: 2.0000e-03 eta: 3:54:59 time: 0.8143 data_time: 0.0174 memory: 13723 grad_norm: 5.1455 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5242 loss: 0.5242 2022/08/09 23:39:51 - mmengine - INFO - Epoch(train) [88][1740/1879] lr: 2.0000e-03 eta: 3:54:47 time: 0.6529 data_time: 0.0964 memory: 13723 grad_norm: 5.1511 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6931 loss: 0.6931 2022/08/09 23:40:08 - mmengine - INFO - Epoch(train) [88][1760/1879] lr: 2.0000e-03 eta: 3:54:35 time: 0.8156 data_time: 0.0685 memory: 13723 grad_norm: 5.0738 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7276 loss: 0.7276 2022/08/09 23:40:23 - mmengine - INFO - Epoch(train) [88][1780/1879] lr: 2.0000e-03 eta: 3:54:23 time: 0.7777 data_time: 0.0357 memory: 13723 grad_norm: 5.2402 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5295 loss: 0.5295 2022/08/09 23:40:35 - mmengine - INFO - Epoch(train) [88][1800/1879] lr: 2.0000e-03 eta: 3:54:10 time: 0.5717 data_time: 0.0222 memory: 13723 grad_norm: 5.0326 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7131 loss: 0.7131 2022/08/09 23:40:49 - mmengine - INFO - Epoch(train) [88][1820/1879] lr: 2.0000e-03 eta: 3:53:58 time: 0.6996 data_time: 0.0196 memory: 13723 grad_norm: 4.9333 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6331 loss: 0.6331 2022/08/09 23:41:04 - mmengine - INFO - Epoch(train) [88][1840/1879] lr: 2.0000e-03 eta: 3:53:46 time: 0.7874 data_time: 0.0186 memory: 13723 grad_norm: 5.0162 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6984 loss: 0.6984 2022/08/09 23:41:19 - mmengine - INFO - Epoch(train) [88][1860/1879] lr: 2.0000e-03 eta: 3:53:34 time: 0.7069 data_time: 0.0588 memory: 13723 grad_norm: 4.9939 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6362 loss: 0.6362 2022/08/09 23:41:32 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 23:41:32 - mmengine - INFO - Epoch(train) [88][1879/1879] lr: 2.0000e-03 eta: 3:53:34 time: 0.7526 data_time: 0.0140 memory: 13723 grad_norm: 5.0290 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.6229 loss: 0.6229 2022/08/09 23:41:44 - mmengine - INFO - Epoch(val) [88][20/155] eta: 0:01:21 time: 0.6048 data_time: 0.4651 memory: 1829 2022/08/09 23:41:52 - mmengine - INFO - Epoch(val) [88][40/155] eta: 0:00:46 time: 0.4015 data_time: 0.2629 memory: 1829 2022/08/09 23:42:02 - mmengine - INFO - Epoch(val) [88][60/155] eta: 0:00:46 time: 0.4857 data_time: 0.3486 memory: 1829 2022/08/09 23:42:09 - mmengine - INFO - Epoch(val) [88][80/155] eta: 0:00:25 time: 0.3455 data_time: 0.2095 memory: 1829 2022/08/09 23:42:19 - mmengine - INFO - Epoch(val) [88][100/155] eta: 0:00:27 time: 0.5028 data_time: 0.3655 memory: 1829 2022/08/09 23:42:26 - mmengine - INFO - Epoch(val) [88][120/155] eta: 0:00:12 time: 0.3612 data_time: 0.2246 memory: 1829 2022/08/09 23:42:35 - mmengine - INFO - Epoch(val) [88][140/155] eta: 0:00:06 time: 0.4255 data_time: 0.2891 memory: 1829 2022/08/09 23:43:26 - mmengine - INFO - Epoch(val) [88][155/155] acc/top1: 0.7064 acc/top5: 0.8923 acc/mean1: 0.7063 2022/08/09 23:43:48 - mmengine - INFO - Epoch(train) [89][20/1879] lr: 2.0000e-03 eta: 3:53:09 time: 1.1185 data_time: 0.2461 memory: 13723 grad_norm: 4.7949 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6035 loss: 0.6035 2022/08/09 23:44:03 - mmengine - INFO - Epoch(train) [89][40/1879] lr: 2.0000e-03 eta: 3:52:57 time: 0.7234 data_time: 0.1675 memory: 13723 grad_norm: 4.9124 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6978 loss: 0.6978 2022/08/09 23:44:18 - mmengine - INFO - Epoch(train) [89][60/1879] lr: 2.0000e-03 eta: 3:52:45 time: 0.7462 data_time: 0.0556 memory: 13723 grad_norm: 4.9831 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7047 loss: 0.7047 2022/08/09 23:44:31 - mmengine - INFO - Epoch(train) [89][80/1879] lr: 2.0000e-03 eta: 3:52:33 time: 0.6452 data_time: 0.0159 memory: 13723 grad_norm: 4.8858 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5718 loss: 0.5718 2022/08/09 23:44:49 - mmengine - INFO - Epoch(train) [89][100/1879] lr: 2.0000e-03 eta: 3:52:21 time: 0.9299 data_time: 0.0397 memory: 13723 grad_norm: 5.0371 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6678 loss: 0.6678 2022/08/09 23:45:06 - mmengine - INFO - Epoch(train) [89][120/1879] lr: 2.0000e-03 eta: 3:52:09 time: 0.8353 data_time: 0.0171 memory: 13723 grad_norm: 5.1231 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6332 loss: 0.6332 2022/08/09 23:45:19 - mmengine - INFO - Epoch(train) [89][140/1879] lr: 2.0000e-03 eta: 3:51:57 time: 0.6344 data_time: 0.0792 memory: 13723 grad_norm: 4.9816 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5788 loss: 0.5788 2022/08/09 23:45:33 - mmengine - INFO - Epoch(train) [89][160/1879] lr: 2.0000e-03 eta: 3:51:45 time: 0.7260 data_time: 0.0175 memory: 13723 grad_norm: 5.0911 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5733 loss: 0.5733 2022/08/09 23:45:49 - mmengine - INFO - Epoch(train) [89][180/1879] lr: 2.0000e-03 eta: 3:51:33 time: 0.7620 data_time: 0.0202 memory: 13723 grad_norm: 5.1291 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7174 loss: 0.7174 2022/08/09 23:46:04 - mmengine - INFO - Epoch(train) [89][200/1879] lr: 2.0000e-03 eta: 3:51:21 time: 0.7704 data_time: 0.0196 memory: 13723 grad_norm: 5.0247 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5113 loss: 0.5113 2022/08/09 23:46:16 - mmengine - INFO - Epoch(train) [89][220/1879] lr: 2.0000e-03 eta: 3:51:08 time: 0.5979 data_time: 0.0326 memory: 13723 grad_norm: 5.0406 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6159 loss: 0.6159 2022/08/09 23:46:30 - mmengine - INFO - Epoch(train) [89][240/1879] lr: 2.0000e-03 eta: 3:50:56 time: 0.7028 data_time: 0.1429 memory: 13723 grad_norm: 4.8867 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5263 loss: 0.5263 2022/08/09 23:46:45 - mmengine - INFO - Epoch(train) [89][260/1879] lr: 2.0000e-03 eta: 3:50:44 time: 0.7440 data_time: 0.1591 memory: 13723 grad_norm: 4.9284 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6537 loss: 0.6537 2022/08/09 23:46:59 - mmengine - INFO - Epoch(train) [89][280/1879] lr: 2.0000e-03 eta: 3:50:32 time: 0.6928 data_time: 0.1505 memory: 13723 grad_norm: 4.9200 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6195 loss: 0.6195 2022/08/09 23:47:14 - mmengine - INFO - Epoch(train) [89][300/1879] lr: 2.0000e-03 eta: 3:50:20 time: 0.7512 data_time: 0.0209 memory: 13723 grad_norm: 4.9619 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4946 loss: 0.4946 2022/08/09 23:47:29 - mmengine - INFO - Epoch(train) [89][320/1879] lr: 2.0000e-03 eta: 3:50:08 time: 0.7374 data_time: 0.0389 memory: 13723 grad_norm: 5.1026 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6042 loss: 0.6042 2022/08/09 23:47:41 - mmengine - INFO - Epoch(train) [89][340/1879] lr: 2.0000e-03 eta: 3:49:55 time: 0.6244 data_time: 0.0173 memory: 13723 grad_norm: 4.7962 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5110 loss: 0.5110 2022/08/09 23:47:55 - mmengine - INFO - Epoch(train) [89][360/1879] lr: 2.0000e-03 eta: 3:49:43 time: 0.6705 data_time: 0.0213 memory: 13723 grad_norm: 5.2211 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5003 loss: 0.5003 2022/08/09 23:48:06 - mmengine - INFO - Epoch(train) [89][380/1879] lr: 2.0000e-03 eta: 3:49:30 time: 0.5813 data_time: 0.0260 memory: 13723 grad_norm: 4.9127 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5747 loss: 0.5747 2022/08/09 23:48:19 - mmengine - INFO - Epoch(train) [89][400/1879] lr: 2.0000e-03 eta: 3:49:18 time: 0.6299 data_time: 0.0459 memory: 13723 grad_norm: 5.2896 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6172 loss: 0.6172 2022/08/09 23:48:33 - mmengine - INFO - Epoch(train) [89][420/1879] lr: 2.0000e-03 eta: 3:49:06 time: 0.7253 data_time: 0.0375 memory: 13723 grad_norm: 5.0262 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6466 loss: 0.6466 2022/08/09 23:48:46 - mmengine - INFO - Epoch(train) [89][440/1879] lr: 2.0000e-03 eta: 3:48:53 time: 0.6270 data_time: 0.0719 memory: 13723 grad_norm: 4.8733 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6476 loss: 0.6476 2022/08/09 23:49:01 - mmengine - INFO - Epoch(train) [89][460/1879] lr: 2.0000e-03 eta: 3:48:41 time: 0.7276 data_time: 0.1804 memory: 13723 grad_norm: 4.9558 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5323 loss: 0.5323 2022/08/09 23:49:13 - mmengine - INFO - Epoch(train) [89][480/1879] lr: 2.0000e-03 eta: 3:48:29 time: 0.5996 data_time: 0.0243 memory: 13723 grad_norm: 4.7526 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7142 loss: 0.7142 2022/08/09 23:49:29 - mmengine - INFO - Epoch(train) [89][500/1879] lr: 2.0000e-03 eta: 3:48:17 time: 0.8425 data_time: 0.0675 memory: 13723 grad_norm: 5.0603 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6398 loss: 0.6398 2022/08/09 23:49:44 - mmengine - INFO - Epoch(train) [89][520/1879] lr: 2.0000e-03 eta: 3:48:05 time: 0.7085 data_time: 0.0466 memory: 13723 grad_norm: 5.1785 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5762 loss: 0.5762 2022/08/09 23:49:59 - mmengine - INFO - Epoch(train) [89][540/1879] lr: 2.0000e-03 eta: 3:47:53 time: 0.7476 data_time: 0.0176 memory: 13723 grad_norm: 5.0327 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6283 loss: 0.6283 2022/08/09 23:50:16 - mmengine - INFO - Epoch(train) [89][560/1879] lr: 2.0000e-03 eta: 3:47:41 time: 0.8712 data_time: 0.0209 memory: 13723 grad_norm: 5.2683 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5925 loss: 0.5925 2022/08/09 23:50:28 - mmengine - INFO - Epoch(train) [89][580/1879] lr: 2.0000e-03 eta: 3:47:28 time: 0.5853 data_time: 0.0255 memory: 13723 grad_norm: 4.8418 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5389 loss: 0.5389 2022/08/09 23:50:44 - mmengine - INFO - Epoch(train) [89][600/1879] lr: 2.0000e-03 eta: 3:47:16 time: 0.7930 data_time: 0.0203 memory: 13723 grad_norm: 4.9644 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6263 loss: 0.6263 2022/08/09 23:50:59 - mmengine - INFO - Epoch(train) [89][620/1879] lr: 2.0000e-03 eta: 3:47:04 time: 0.7753 data_time: 0.2205 memory: 13723 grad_norm: 4.9421 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7536 loss: 0.7536 2022/08/09 23:51:14 - mmengine - INFO - Epoch(train) [89][640/1879] lr: 2.0000e-03 eta: 3:46:52 time: 0.7672 data_time: 0.0178 memory: 13723 grad_norm: 5.1645 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6230 loss: 0.6230 2022/08/09 23:51:19 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/09 23:51:26 - mmengine - INFO - Epoch(train) [89][660/1879] lr: 2.0000e-03 eta: 3:46:40 time: 0.5802 data_time: 0.0234 memory: 13723 grad_norm: 5.0290 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6880 loss: 0.6880 2022/08/09 23:51:40 - mmengine - INFO - Epoch(train) [89][680/1879] lr: 2.0000e-03 eta: 3:46:28 time: 0.6874 data_time: 0.0360 memory: 13723 grad_norm: 5.2603 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5566 loss: 0.5566 2022/08/09 23:51:52 - mmengine - INFO - Epoch(train) [89][700/1879] lr: 2.0000e-03 eta: 3:46:15 time: 0.5838 data_time: 0.0249 memory: 13723 grad_norm: 5.0737 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5317 loss: 0.5317 2022/08/09 23:52:06 - mmengine - INFO - Epoch(train) [89][720/1879] lr: 2.0000e-03 eta: 3:46:03 time: 0.7157 data_time: 0.0212 memory: 13723 grad_norm: 5.1970 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5906 loss: 0.5906 2022/08/09 23:52:17 - mmengine - INFO - Epoch(train) [89][740/1879] lr: 2.0000e-03 eta: 3:45:50 time: 0.5720 data_time: 0.0212 memory: 13723 grad_norm: 5.0539 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6780 loss: 0.6780 2022/08/09 23:52:30 - mmengine - INFO - Epoch(train) [89][760/1879] lr: 2.0000e-03 eta: 3:45:38 time: 0.6287 data_time: 0.0246 memory: 13723 grad_norm: 4.8796 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5374 loss: 0.5374 2022/08/09 23:52:43 - mmengine - INFO - Epoch(train) [89][780/1879] lr: 2.0000e-03 eta: 3:45:26 time: 0.6468 data_time: 0.0210 memory: 13723 grad_norm: 5.1319 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6550 loss: 0.6550 2022/08/09 23:52:57 - mmengine - INFO - Epoch(train) [89][800/1879] lr: 2.0000e-03 eta: 3:45:13 time: 0.7185 data_time: 0.0403 memory: 13723 grad_norm: 4.9521 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6396 loss: 0.6396 2022/08/09 23:53:09 - mmengine - INFO - Epoch(train) [89][820/1879] lr: 2.0000e-03 eta: 3:45:01 time: 0.5746 data_time: 0.0191 memory: 13723 grad_norm: 5.1555 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6339 loss: 0.6339 2022/08/09 23:53:24 - mmengine - INFO - Epoch(train) [89][840/1879] lr: 2.0000e-03 eta: 3:44:49 time: 0.7486 data_time: 0.0209 memory: 13723 grad_norm: 4.9443 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6677 loss: 0.6677 2022/08/09 23:53:37 - mmengine - INFO - Epoch(train) [89][860/1879] lr: 2.0000e-03 eta: 3:44:36 time: 0.6548 data_time: 0.0215 memory: 13723 grad_norm: 5.2593 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6785 loss: 0.6785 2022/08/09 23:53:54 - mmengine - INFO - Epoch(train) [89][880/1879] lr: 2.0000e-03 eta: 3:44:25 time: 0.8606 data_time: 0.3089 memory: 13723 grad_norm: 5.1045 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5905 loss: 0.5905 2022/08/09 23:54:07 - mmengine - INFO - Epoch(train) [89][900/1879] lr: 2.0000e-03 eta: 3:44:12 time: 0.6525 data_time: 0.1119 memory: 13723 grad_norm: 4.9665 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7262 loss: 0.7262 2022/08/09 23:54:24 - mmengine - INFO - Epoch(train) [89][920/1879] lr: 2.0000e-03 eta: 3:44:00 time: 0.8195 data_time: 0.2693 memory: 13723 grad_norm: 5.1130 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6680 loss: 0.6680 2022/08/09 23:54:39 - mmengine - INFO - Epoch(train) [89][940/1879] lr: 2.0000e-03 eta: 3:43:48 time: 0.7818 data_time: 0.0456 memory: 13723 grad_norm: 5.0273 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6110 loss: 0.6110 2022/08/09 23:54:52 - mmengine - INFO - Epoch(train) [89][960/1879] lr: 2.0000e-03 eta: 3:43:36 time: 0.6345 data_time: 0.0208 memory: 13723 grad_norm: 5.1437 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8113 loss: 0.8113 2022/08/09 23:55:04 - mmengine - INFO - Epoch(train) [89][980/1879] lr: 2.0000e-03 eta: 3:43:23 time: 0.5961 data_time: 0.0208 memory: 13723 grad_norm: 4.8614 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5314 loss: 0.5314 2022/08/09 23:55:19 - mmengine - INFO - Epoch(train) [89][1000/1879] lr: 2.0000e-03 eta: 3:43:11 time: 0.7605 data_time: 0.0173 memory: 13723 grad_norm: 5.0144 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4666 loss: 0.4666 2022/08/09 23:55:34 - mmengine - INFO - Epoch(train) [89][1020/1879] lr: 2.0000e-03 eta: 3:42:59 time: 0.7421 data_time: 0.0205 memory: 13723 grad_norm: 5.0810 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5584 loss: 0.5584 2022/08/09 23:55:50 - mmengine - INFO - Epoch(train) [89][1040/1879] lr: 2.0000e-03 eta: 3:42:47 time: 0.8080 data_time: 0.0208 memory: 13723 grad_norm: 5.1872 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5238 loss: 0.5238 2022/08/09 23:56:10 - mmengine - INFO - Epoch(train) [89][1060/1879] lr: 2.0000e-03 eta: 3:42:36 time: 0.9673 data_time: 0.0194 memory: 13723 grad_norm: 5.0717 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7068 loss: 0.7068 2022/08/09 23:56:22 - mmengine - INFO - Epoch(train) [89][1080/1879] lr: 2.0000e-03 eta: 3:42:23 time: 0.6451 data_time: 0.0216 memory: 13723 grad_norm: 5.0522 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.5252 loss: 0.5252 2022/08/09 23:56:34 - mmengine - INFO - Epoch(train) [89][1100/1879] lr: 2.0000e-03 eta: 3:42:11 time: 0.5896 data_time: 0.0236 memory: 13723 grad_norm: 5.0413 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6436 loss: 0.6436 2022/08/09 23:56:48 - mmengine - INFO - Epoch(train) [89][1120/1879] lr: 2.0000e-03 eta: 3:41:59 time: 0.6869 data_time: 0.0220 memory: 13723 grad_norm: 5.0171 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6417 loss: 0.6417 2022/08/09 23:57:03 - mmengine - INFO - Epoch(train) [89][1140/1879] lr: 2.0000e-03 eta: 3:41:46 time: 0.7516 data_time: 0.0171 memory: 13723 grad_norm: 5.0246 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6361 loss: 0.6361 2022/08/09 23:57:15 - mmengine - INFO - Epoch(train) [89][1160/1879] lr: 2.0000e-03 eta: 3:41:34 time: 0.6001 data_time: 0.0238 memory: 13723 grad_norm: 5.0949 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6825 loss: 0.6825 2022/08/09 23:57:30 - mmengine - INFO - Epoch(train) [89][1180/1879] lr: 2.0000e-03 eta: 3:41:22 time: 0.7370 data_time: 0.0197 memory: 13723 grad_norm: 5.1437 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5927 loss: 0.5927 2022/08/09 23:57:43 - mmengine - INFO - Epoch(train) [89][1200/1879] lr: 2.0000e-03 eta: 3:41:10 time: 0.6600 data_time: 0.0224 memory: 13723 grad_norm: 5.2598 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6146 loss: 0.6146 2022/08/09 23:57:59 - mmengine - INFO - Epoch(train) [89][1220/1879] lr: 2.0000e-03 eta: 3:40:58 time: 0.7914 data_time: 0.0388 memory: 13723 grad_norm: 5.0425 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6025 loss: 0.6025 2022/08/09 23:58:11 - mmengine - INFO - Epoch(train) [89][1240/1879] lr: 2.0000e-03 eta: 3:40:45 time: 0.6204 data_time: 0.0211 memory: 13723 grad_norm: 4.8432 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6201 loss: 0.6201 2022/08/09 23:58:24 - mmengine - INFO - Epoch(train) [89][1260/1879] lr: 2.0000e-03 eta: 3:40:33 time: 0.6373 data_time: 0.0181 memory: 13723 grad_norm: 5.1606 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6812 loss: 0.6812 2022/08/09 23:58:39 - mmengine - INFO - Epoch(train) [89][1280/1879] lr: 2.0000e-03 eta: 3:40:21 time: 0.7454 data_time: 0.0323 memory: 13723 grad_norm: 5.1609 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6403 loss: 0.6403 2022/08/09 23:58:53 - mmengine - INFO - Epoch(train) [89][1300/1879] lr: 2.0000e-03 eta: 3:40:08 time: 0.7193 data_time: 0.1089 memory: 13723 grad_norm: 4.9303 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7541 loss: 0.7541 2022/08/09 23:59:08 - mmengine - INFO - Epoch(train) [89][1320/1879] lr: 2.0000e-03 eta: 3:39:56 time: 0.7200 data_time: 0.0226 memory: 13723 grad_norm: 4.9651 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6112 loss: 0.6112 2022/08/09 23:59:22 - mmengine - INFO - Epoch(train) [89][1340/1879] lr: 2.0000e-03 eta: 3:39:44 time: 0.7013 data_time: 0.0758 memory: 13723 grad_norm: 4.9433 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6625 loss: 0.6625 2022/08/09 23:59:36 - mmengine - INFO - Epoch(train) [89][1360/1879] lr: 2.0000e-03 eta: 3:39:32 time: 0.7190 data_time: 0.0222 memory: 13723 grad_norm: 5.0059 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7693 loss: 0.7693 2022/08/09 23:59:50 - mmengine - INFO - Epoch(train) [89][1380/1879] lr: 2.0000e-03 eta: 3:39:20 time: 0.6899 data_time: 0.0139 memory: 13723 grad_norm: 5.0646 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6203 loss: 0.6203 2022/08/10 00:00:06 - mmengine - INFO - Epoch(train) [89][1400/1879] lr: 2.0000e-03 eta: 3:39:08 time: 0.8100 data_time: 0.0244 memory: 13723 grad_norm: 4.9241 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6846 loss: 0.6846 2022/08/10 00:00:26 - mmengine - INFO - Epoch(train) [89][1420/1879] lr: 2.0000e-03 eta: 3:38:56 time: 0.9802 data_time: 0.0826 memory: 13723 grad_norm: 5.1100 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5363 loss: 0.5363 2022/08/10 00:00:40 - mmengine - INFO - Epoch(train) [89][1440/1879] lr: 2.0000e-03 eta: 3:38:44 time: 0.6919 data_time: 0.0242 memory: 13723 grad_norm: 5.2240 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6672 loss: 0.6672 2022/08/10 00:00:54 - mmengine - INFO - Epoch(train) [89][1460/1879] lr: 2.0000e-03 eta: 3:38:32 time: 0.7209 data_time: 0.0191 memory: 13723 grad_norm: 5.1499 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5271 loss: 0.5271 2022/08/10 00:01:07 - mmengine - INFO - Epoch(train) [89][1480/1879] lr: 2.0000e-03 eta: 3:38:19 time: 0.6576 data_time: 0.0242 memory: 13723 grad_norm: 5.1799 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6873 loss: 0.6873 2022/08/10 00:01:21 - mmengine - INFO - Epoch(train) [89][1500/1879] lr: 2.0000e-03 eta: 3:38:07 time: 0.6997 data_time: 0.0345 memory: 13723 grad_norm: 5.1067 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6017 loss: 0.6017 2022/08/10 00:01:36 - mmengine - INFO - Epoch(train) [89][1520/1879] lr: 2.0000e-03 eta: 3:37:55 time: 0.7235 data_time: 0.0209 memory: 13723 grad_norm: 5.2904 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6152 loss: 0.6152 2022/08/10 00:01:49 - mmengine - INFO - Epoch(train) [89][1540/1879] lr: 2.0000e-03 eta: 3:37:43 time: 0.6653 data_time: 0.0198 memory: 13723 grad_norm: 5.0253 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5996 loss: 0.5996 2022/08/10 00:02:06 - mmengine - INFO - Epoch(train) [89][1560/1879] lr: 2.0000e-03 eta: 3:37:31 time: 0.8362 data_time: 0.1381 memory: 13723 grad_norm: 5.0503 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8126 loss: 0.8126 2022/08/10 00:02:24 - mmengine - INFO - Epoch(train) [89][1580/1879] lr: 2.0000e-03 eta: 3:37:19 time: 0.9171 data_time: 0.0170 memory: 13723 grad_norm: 4.9890 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6090 loss: 0.6090 2022/08/10 00:02:37 - mmengine - INFO - Epoch(train) [89][1600/1879] lr: 2.0000e-03 eta: 3:37:07 time: 0.6566 data_time: 0.0189 memory: 13723 grad_norm: 4.9864 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5002 loss: 0.5002 2022/08/10 00:02:57 - mmengine - INFO - Epoch(train) [89][1620/1879] lr: 2.0000e-03 eta: 3:36:55 time: 0.9770 data_time: 0.1228 memory: 13723 grad_norm: 5.2249 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6564 loss: 0.6564 2022/08/10 00:03:12 - mmengine - INFO - Epoch(train) [89][1640/1879] lr: 2.0000e-03 eta: 3:36:43 time: 0.7416 data_time: 0.0187 memory: 13723 grad_norm: 5.0478 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6720 loss: 0.6720 2022/08/10 00:03:16 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 00:03:26 - mmengine - INFO - Epoch(train) [89][1660/1879] lr: 2.0000e-03 eta: 3:36:31 time: 0.7189 data_time: 0.0225 memory: 13723 grad_norm: 5.1610 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6537 loss: 0.6537 2022/08/10 00:03:41 - mmengine - INFO - Epoch(train) [89][1680/1879] lr: 2.0000e-03 eta: 3:36:19 time: 0.7296 data_time: 0.0198 memory: 13723 grad_norm: 5.2395 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7470 loss: 0.7470 2022/08/10 00:03:54 - mmengine - INFO - Epoch(train) [89][1700/1879] lr: 2.0000e-03 eta: 3:36:06 time: 0.6742 data_time: 0.0190 memory: 13723 grad_norm: 5.1566 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5809 loss: 0.5809 2022/08/10 00:04:08 - mmengine - INFO - Epoch(train) [89][1720/1879] lr: 2.0000e-03 eta: 3:35:54 time: 0.6929 data_time: 0.0198 memory: 13723 grad_norm: 5.2163 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6390 loss: 0.6390 2022/08/10 00:04:24 - mmengine - INFO - Epoch(train) [89][1740/1879] lr: 2.0000e-03 eta: 3:35:42 time: 0.7815 data_time: 0.0214 memory: 13723 grad_norm: 5.0781 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5666 loss: 0.5666 2022/08/10 00:04:36 - mmengine - INFO - Epoch(train) [89][1760/1879] lr: 2.0000e-03 eta: 3:35:29 time: 0.6191 data_time: 0.0209 memory: 13723 grad_norm: 5.1705 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5842 loss: 0.5842 2022/08/10 00:04:51 - mmengine - INFO - Epoch(train) [89][1780/1879] lr: 2.0000e-03 eta: 3:35:17 time: 0.7484 data_time: 0.0182 memory: 13723 grad_norm: 5.2360 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6361 loss: 0.6361 2022/08/10 00:05:05 - mmengine - INFO - Epoch(train) [89][1800/1879] lr: 2.0000e-03 eta: 3:35:05 time: 0.6919 data_time: 0.0219 memory: 13723 grad_norm: 5.1009 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6763 loss: 0.6763 2022/08/10 00:05:20 - mmengine - INFO - Epoch(train) [89][1820/1879] lr: 2.0000e-03 eta: 3:34:53 time: 0.7311 data_time: 0.0187 memory: 13723 grad_norm: 4.9842 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6476 loss: 0.6476 2022/08/10 00:05:36 - mmengine - INFO - Epoch(train) [89][1840/1879] lr: 2.0000e-03 eta: 3:34:41 time: 0.8365 data_time: 0.0204 memory: 13723 grad_norm: 5.0824 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6766 loss: 0.6766 2022/08/10 00:05:55 - mmengine - INFO - Epoch(train) [89][1860/1879] lr: 2.0000e-03 eta: 3:34:29 time: 0.9398 data_time: 0.0192 memory: 13723 grad_norm: 4.9622 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7012 loss: 0.7012 2022/08/10 00:06:08 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 00:06:08 - mmengine - INFO - Epoch(train) [89][1879/1879] lr: 2.0000e-03 eta: 3:34:29 time: 0.6734 data_time: 0.0155 memory: 13723 grad_norm: 5.2274 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.6565 loss: 0.6565 2022/08/10 00:06:25 - mmengine - INFO - Epoch(val) [89][20/155] eta: 0:01:51 time: 0.8293 data_time: 0.6753 memory: 1829 2022/08/10 00:06:35 - mmengine - INFO - Epoch(val) [89][40/155] eta: 0:00:56 time: 0.4874 data_time: 0.3503 memory: 1829 2022/08/10 00:06:50 - mmengine - INFO - Epoch(val) [89][60/155] eta: 0:01:14 time: 0.7858 data_time: 0.6494 memory: 1829 2022/08/10 00:07:07 - mmengine - INFO - Epoch(val) [89][80/155] eta: 0:01:02 time: 0.8280 data_time: 0.6899 memory: 1829 2022/08/10 00:07:16 - mmengine - INFO - Epoch(val) [89][100/155] eta: 0:00:24 time: 0.4366 data_time: 0.2969 memory: 1829 2022/08/10 00:07:33 - mmengine - INFO - Epoch(val) [89][120/155] eta: 0:00:30 time: 0.8623 data_time: 0.7268 memory: 1829 2022/08/10 00:07:42 - mmengine - INFO - Epoch(val) [89][140/155] eta: 0:00:06 time: 0.4319 data_time: 0.2979 memory: 1829 2022/08/10 00:07:54 - mmengine - INFO - Epoch(val) [89][155/155] acc/top1: 0.7056 acc/top5: 0.8905 acc/mean1: 0.7055 2022/08/10 00:08:14 - mmengine - INFO - Epoch(train) [90][20/1879] lr: 2.0000e-03 eta: 3:34:05 time: 1.0013 data_time: 0.2857 memory: 13723 grad_norm: 5.0096 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6843 loss: 0.6843 2022/08/10 00:08:32 - mmengine - INFO - Epoch(train) [90][40/1879] lr: 2.0000e-03 eta: 3:33:53 time: 0.8693 data_time: 0.0229 memory: 13723 grad_norm: 4.9784 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5448 loss: 0.5448 2022/08/10 00:08:46 - mmengine - INFO - Epoch(train) [90][60/1879] lr: 2.0000e-03 eta: 3:33:41 time: 0.7142 data_time: 0.0172 memory: 13723 grad_norm: 4.8741 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5039 loss: 0.5039 2022/08/10 00:08:59 - mmengine - INFO - Epoch(train) [90][80/1879] lr: 2.0000e-03 eta: 3:33:28 time: 0.6446 data_time: 0.0239 memory: 13723 grad_norm: 4.9503 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6390 loss: 0.6390 2022/08/10 00:09:15 - mmengine - INFO - Epoch(train) [90][100/1879] lr: 2.0000e-03 eta: 3:33:16 time: 0.8043 data_time: 0.0199 memory: 13723 grad_norm: 5.0589 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5857 loss: 0.5857 2022/08/10 00:09:30 - mmengine - INFO - Epoch(train) [90][120/1879] lr: 2.0000e-03 eta: 3:33:04 time: 0.7249 data_time: 0.0211 memory: 13723 grad_norm: 5.0060 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5847 loss: 0.5847 2022/08/10 00:09:41 - mmengine - INFO - Epoch(train) [90][140/1879] lr: 2.0000e-03 eta: 3:32:51 time: 0.5760 data_time: 0.0176 memory: 13723 grad_norm: 4.7960 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5405 loss: 0.5405 2022/08/10 00:09:58 - mmengine - INFO - Epoch(train) [90][160/1879] lr: 2.0000e-03 eta: 3:32:39 time: 0.8396 data_time: 0.0198 memory: 13723 grad_norm: 4.9377 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5888 loss: 0.5888 2022/08/10 00:10:21 - mmengine - INFO - Epoch(train) [90][180/1879] lr: 2.0000e-03 eta: 3:32:28 time: 1.1416 data_time: 0.0188 memory: 13723 grad_norm: 4.9571 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5706 loss: 0.5706 2022/08/10 00:10:39 - mmengine - INFO - Epoch(train) [90][200/1879] lr: 2.0000e-03 eta: 3:32:17 time: 0.9181 data_time: 0.0235 memory: 13723 grad_norm: 5.3757 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7096 loss: 0.7096 2022/08/10 00:10:58 - mmengine - INFO - Epoch(train) [90][220/1879] lr: 2.0000e-03 eta: 3:32:05 time: 0.9211 data_time: 0.0167 memory: 13723 grad_norm: 4.9333 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6598 loss: 0.6598 2022/08/10 00:11:13 - mmengine - INFO - Epoch(train) [90][240/1879] lr: 2.0000e-03 eta: 3:31:53 time: 0.7565 data_time: 0.0320 memory: 13723 grad_norm: 5.0702 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6603 loss: 0.6603 2022/08/10 00:11:27 - mmengine - INFO - Epoch(train) [90][260/1879] lr: 2.0000e-03 eta: 3:31:40 time: 0.6967 data_time: 0.0220 memory: 13723 grad_norm: 5.1027 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6361 loss: 0.6361 2022/08/10 00:11:45 - mmengine - INFO - Epoch(train) [90][280/1879] lr: 2.0000e-03 eta: 3:31:29 time: 0.9289 data_time: 0.0181 memory: 13723 grad_norm: 5.0864 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6171 loss: 0.6171 2022/08/10 00:11:58 - mmengine - INFO - Epoch(train) [90][300/1879] lr: 2.0000e-03 eta: 3:31:16 time: 0.6437 data_time: 0.0222 memory: 13723 grad_norm: 5.2061 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6065 loss: 0.6065 2022/08/10 00:12:12 - mmengine - INFO - Epoch(train) [90][320/1879] lr: 2.0000e-03 eta: 3:31:04 time: 0.6754 data_time: 0.0182 memory: 13723 grad_norm: 5.0997 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6398 loss: 0.6398 2022/08/10 00:12:27 - mmengine - INFO - Epoch(train) [90][340/1879] lr: 2.0000e-03 eta: 3:30:52 time: 0.7675 data_time: 0.0894 memory: 13723 grad_norm: 5.1122 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5832 loss: 0.5832 2022/08/10 00:12:42 - mmengine - INFO - Epoch(train) [90][360/1879] lr: 2.0000e-03 eta: 3:30:40 time: 0.7669 data_time: 0.0554 memory: 13723 grad_norm: 4.9323 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5648 loss: 0.5648 2022/08/10 00:12:57 - mmengine - INFO - Epoch(train) [90][380/1879] lr: 2.0000e-03 eta: 3:30:28 time: 0.7109 data_time: 0.0403 memory: 13723 grad_norm: 5.0073 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7662 loss: 0.7662 2022/08/10 00:13:11 - mmengine - INFO - Epoch(train) [90][400/1879] lr: 2.0000e-03 eta: 3:30:15 time: 0.7030 data_time: 0.0168 memory: 13723 grad_norm: 5.0936 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6274 loss: 0.6274 2022/08/10 00:13:24 - mmengine - INFO - Epoch(train) [90][420/1879] lr: 2.0000e-03 eta: 3:30:03 time: 0.6584 data_time: 0.0229 memory: 13723 grad_norm: 5.1275 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7463 loss: 0.7463 2022/08/10 00:13:38 - mmengine - INFO - Epoch(train) [90][440/1879] lr: 2.0000e-03 eta: 3:29:51 time: 0.6773 data_time: 0.0192 memory: 13723 grad_norm: 5.1886 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5156 loss: 0.5156 2022/08/10 00:13:52 - mmengine - INFO - Epoch(train) [90][460/1879] lr: 2.0000e-03 eta: 3:29:38 time: 0.6987 data_time: 0.0194 memory: 13723 grad_norm: 5.1883 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7499 loss: 0.7499 2022/08/10 00:14:09 - mmengine - INFO - Epoch(train) [90][480/1879] lr: 2.0000e-03 eta: 3:29:27 time: 0.8725 data_time: 0.0871 memory: 13723 grad_norm: 5.2618 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6247 loss: 0.6247 2022/08/10 00:14:28 - mmengine - INFO - Epoch(train) [90][500/1879] lr: 2.0000e-03 eta: 3:29:15 time: 0.9455 data_time: 0.0161 memory: 13723 grad_norm: 5.2368 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8611 loss: 0.8611 2022/08/10 00:14:45 - mmengine - INFO - Epoch(train) [90][520/1879] lr: 2.0000e-03 eta: 3:29:03 time: 0.8384 data_time: 0.0213 memory: 13723 grad_norm: 5.0943 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5942 loss: 0.5942 2022/08/10 00:15:11 - mmengine - INFO - Epoch(train) [90][540/1879] lr: 2.0000e-03 eta: 3:28:52 time: 1.3059 data_time: 0.0181 memory: 13723 grad_norm: 4.9697 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6289 loss: 0.6289 2022/08/10 00:15:24 - mmengine - INFO - Epoch(train) [90][560/1879] lr: 2.0000e-03 eta: 3:28:40 time: 0.6829 data_time: 0.0186 memory: 13723 grad_norm: 5.1157 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6228 loss: 0.6228 2022/08/10 00:15:38 - mmengine - INFO - Epoch(train) [90][580/1879] lr: 2.0000e-03 eta: 3:28:28 time: 0.6670 data_time: 0.0210 memory: 13723 grad_norm: 4.9109 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5361 loss: 0.5361 2022/08/10 00:15:53 - mmengine - INFO - Epoch(train) [90][600/1879] lr: 2.0000e-03 eta: 3:28:15 time: 0.7435 data_time: 0.0206 memory: 13723 grad_norm: 5.0188 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5578 loss: 0.5578 2022/08/10 00:16:08 - mmengine - INFO - Epoch(train) [90][620/1879] lr: 2.0000e-03 eta: 3:28:03 time: 0.7802 data_time: 0.0223 memory: 13723 grad_norm: 5.2216 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6796 loss: 0.6796 2022/08/10 00:16:24 - mmengine - INFO - Epoch(train) [90][640/1879] lr: 2.0000e-03 eta: 3:27:51 time: 0.7902 data_time: 0.0208 memory: 13723 grad_norm: 5.2986 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6262 loss: 0.6262 2022/08/10 00:16:36 - mmengine - INFO - Epoch(train) [90][660/1879] lr: 2.0000e-03 eta: 3:27:39 time: 0.6034 data_time: 0.0197 memory: 13723 grad_norm: 5.0981 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6249 loss: 0.6249 2022/08/10 00:16:52 - mmengine - INFO - Epoch(train) [90][680/1879] lr: 2.0000e-03 eta: 3:27:27 time: 0.7607 data_time: 0.0454 memory: 13723 grad_norm: 5.1312 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5627 loss: 0.5627 2022/08/10 00:17:05 - mmengine - INFO - Epoch(train) [90][700/1879] lr: 2.0000e-03 eta: 3:27:14 time: 0.6814 data_time: 0.0154 memory: 13723 grad_norm: 5.1224 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.5217 loss: 0.5217 2022/08/10 00:17:21 - mmengine - INFO - Epoch(train) [90][720/1879] lr: 2.0000e-03 eta: 3:27:02 time: 0.7863 data_time: 0.0215 memory: 13723 grad_norm: 4.8372 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5956 loss: 0.5956 2022/08/10 00:17:41 - mmengine - INFO - Epoch(train) [90][740/1879] lr: 2.0000e-03 eta: 3:26:51 time: 0.9921 data_time: 0.0161 memory: 13723 grad_norm: 5.0887 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6482 loss: 0.6482 2022/08/10 00:17:54 - mmengine - INFO - Epoch(train) [90][760/1879] lr: 2.0000e-03 eta: 3:26:38 time: 0.6862 data_time: 0.0239 memory: 13723 grad_norm: 4.9369 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4995 loss: 0.4995 2022/08/10 00:18:02 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 00:18:09 - mmengine - INFO - Epoch(train) [90][780/1879] lr: 2.0000e-03 eta: 3:26:26 time: 0.7421 data_time: 0.0164 memory: 13723 grad_norm: 5.0206 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5605 loss: 0.5605 2022/08/10 00:18:27 - mmengine - INFO - Epoch(train) [90][800/1879] lr: 2.0000e-03 eta: 3:26:14 time: 0.8598 data_time: 0.0192 memory: 13723 grad_norm: 5.0421 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5691 loss: 0.5691 2022/08/10 00:18:40 - mmengine - INFO - Epoch(train) [90][820/1879] lr: 2.0000e-03 eta: 3:26:02 time: 0.6665 data_time: 0.0236 memory: 13723 grad_norm: 4.9209 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5916 loss: 0.5916 2022/08/10 00:18:55 - mmengine - INFO - Epoch(train) [90][840/1879] lr: 2.0000e-03 eta: 3:25:50 time: 0.7343 data_time: 0.0333 memory: 13723 grad_norm: 5.1431 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6481 loss: 0.6481 2022/08/10 00:19:12 - mmengine - INFO - Epoch(train) [90][860/1879] lr: 2.0000e-03 eta: 3:25:38 time: 0.8460 data_time: 0.0188 memory: 13723 grad_norm: 5.0766 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5457 loss: 0.5457 2022/08/10 00:19:26 - mmengine - INFO - Epoch(train) [90][880/1879] lr: 2.0000e-03 eta: 3:25:26 time: 0.7291 data_time: 0.0204 memory: 13723 grad_norm: 5.1136 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7350 loss: 0.7350 2022/08/10 00:19:44 - mmengine - INFO - Epoch(train) [90][900/1879] lr: 2.0000e-03 eta: 3:25:14 time: 0.8987 data_time: 0.0173 memory: 13723 grad_norm: 5.3261 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7252 loss: 0.7252 2022/08/10 00:20:01 - mmengine - INFO - Epoch(train) [90][920/1879] lr: 2.0000e-03 eta: 3:25:02 time: 0.8486 data_time: 0.0202 memory: 13723 grad_norm: 5.1265 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6173 loss: 0.6173 2022/08/10 00:20:20 - mmengine - INFO - Epoch(train) [90][940/1879] lr: 2.0000e-03 eta: 3:24:50 time: 0.9411 data_time: 0.0207 memory: 13723 grad_norm: 5.1727 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5984 loss: 0.5984 2022/08/10 00:20:37 - mmengine - INFO - Epoch(train) [90][960/1879] lr: 2.0000e-03 eta: 3:24:38 time: 0.8508 data_time: 0.0274 memory: 13723 grad_norm: 5.0469 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6252 loss: 0.6252 2022/08/10 00:20:54 - mmengine - INFO - Epoch(train) [90][980/1879] lr: 2.0000e-03 eta: 3:24:26 time: 0.8305 data_time: 0.0172 memory: 13723 grad_norm: 4.9951 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.5364 loss: 0.5364 2022/08/10 00:21:08 - mmengine - INFO - Epoch(train) [90][1000/1879] lr: 2.0000e-03 eta: 3:24:14 time: 0.7204 data_time: 0.0198 memory: 13723 grad_norm: 4.9851 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6382 loss: 0.6382 2022/08/10 00:21:25 - mmengine - INFO - Epoch(train) [90][1020/1879] lr: 2.0000e-03 eta: 3:24:02 time: 0.8258 data_time: 0.0212 memory: 13723 grad_norm: 5.0022 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6108 loss: 0.6108 2022/08/10 00:21:36 - mmengine - INFO - Epoch(train) [90][1040/1879] lr: 2.0000e-03 eta: 3:23:49 time: 0.5917 data_time: 0.0224 memory: 13723 grad_norm: 5.0066 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6229 loss: 0.6229 2022/08/10 00:21:56 - mmengine - INFO - Epoch(train) [90][1060/1879] lr: 2.0000e-03 eta: 3:23:38 time: 0.9576 data_time: 0.0160 memory: 13723 grad_norm: 5.1289 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6446 loss: 0.6446 2022/08/10 00:22:09 - mmengine - INFO - Epoch(train) [90][1080/1879] lr: 2.0000e-03 eta: 3:23:25 time: 0.6498 data_time: 0.0205 memory: 13723 grad_norm: 5.1468 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7632 loss: 0.7632 2022/08/10 00:22:25 - mmengine - INFO - Epoch(train) [90][1100/1879] lr: 2.0000e-03 eta: 3:23:13 time: 0.8354 data_time: 0.0157 memory: 13723 grad_norm: 5.2527 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6573 loss: 0.6573 2022/08/10 00:22:40 - mmengine - INFO - Epoch(train) [90][1120/1879] lr: 2.0000e-03 eta: 3:23:01 time: 0.7094 data_time: 0.0202 memory: 13723 grad_norm: 5.2047 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5406 loss: 0.5406 2022/08/10 00:22:59 - mmengine - INFO - Epoch(train) [90][1140/1879] lr: 2.0000e-03 eta: 3:22:49 time: 0.9556 data_time: 0.0187 memory: 13723 grad_norm: 5.3014 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6599 loss: 0.6599 2022/08/10 00:23:12 - mmengine - INFO - Epoch(train) [90][1160/1879] lr: 2.0000e-03 eta: 3:22:37 time: 0.6704 data_time: 0.0203 memory: 13723 grad_norm: 5.0399 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6874 loss: 0.6874 2022/08/10 00:23:27 - mmengine - INFO - Epoch(train) [90][1180/1879] lr: 2.0000e-03 eta: 3:22:25 time: 0.7317 data_time: 0.0217 memory: 13723 grad_norm: 5.0904 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6586 loss: 0.6586 2022/08/10 00:23:41 - mmengine - INFO - Epoch(train) [90][1200/1879] lr: 2.0000e-03 eta: 3:22:13 time: 0.7216 data_time: 0.0240 memory: 13723 grad_norm: 5.1347 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6998 loss: 0.6998 2022/08/10 00:23:59 - mmengine - INFO - Epoch(train) [90][1220/1879] lr: 2.0000e-03 eta: 3:22:01 time: 0.9017 data_time: 0.0174 memory: 13723 grad_norm: 5.3219 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6688 loss: 0.6688 2022/08/10 00:24:11 - mmengine - INFO - Epoch(train) [90][1240/1879] lr: 2.0000e-03 eta: 3:21:48 time: 0.5708 data_time: 0.0224 memory: 13723 grad_norm: 5.1973 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7326 loss: 0.7326 2022/08/10 00:24:27 - mmengine - INFO - Epoch(train) [90][1260/1879] lr: 2.0000e-03 eta: 3:21:36 time: 0.7970 data_time: 0.0205 memory: 13723 grad_norm: 5.2251 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6589 loss: 0.6589 2022/08/10 00:24:38 - mmengine - INFO - Epoch(train) [90][1280/1879] lr: 2.0000e-03 eta: 3:21:24 time: 0.5663 data_time: 0.0202 memory: 13723 grad_norm: 5.2325 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6864 loss: 0.6864 2022/08/10 00:24:51 - mmengine - INFO - Epoch(train) [90][1300/1879] lr: 2.0000e-03 eta: 3:21:11 time: 0.6520 data_time: 0.0236 memory: 13723 grad_norm: 4.9732 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6225 loss: 0.6225 2022/08/10 00:25:10 - mmengine - INFO - Epoch(train) [90][1320/1879] lr: 2.0000e-03 eta: 3:21:00 time: 0.9705 data_time: 0.1292 memory: 13723 grad_norm: 4.9418 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5509 loss: 0.5509 2022/08/10 00:25:25 - mmengine - INFO - Epoch(train) [90][1340/1879] lr: 2.0000e-03 eta: 3:20:47 time: 0.7487 data_time: 0.0245 memory: 13723 grad_norm: 5.2172 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6300 loss: 0.6300 2022/08/10 00:25:37 - mmengine - INFO - Epoch(train) [90][1360/1879] lr: 2.0000e-03 eta: 3:20:35 time: 0.5808 data_time: 0.0213 memory: 13723 grad_norm: 5.2989 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6267 loss: 0.6267 2022/08/10 00:25:53 - mmengine - INFO - Epoch(train) [90][1380/1879] lr: 2.0000e-03 eta: 3:20:23 time: 0.8101 data_time: 0.0173 memory: 13723 grad_norm: 5.0784 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5386 loss: 0.5386 2022/08/10 00:26:09 - mmengine - INFO - Epoch(train) [90][1400/1879] lr: 2.0000e-03 eta: 3:20:11 time: 0.7676 data_time: 0.0204 memory: 13723 grad_norm: 5.1219 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6829 loss: 0.6829 2022/08/10 00:26:20 - mmengine - INFO - Epoch(train) [90][1420/1879] lr: 2.0000e-03 eta: 3:19:58 time: 0.5650 data_time: 0.0208 memory: 13723 grad_norm: 5.3598 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7395 loss: 0.7395 2022/08/10 00:26:33 - mmengine - INFO - Epoch(train) [90][1440/1879] lr: 2.0000e-03 eta: 3:19:46 time: 0.6700 data_time: 0.0269 memory: 13723 grad_norm: 5.2143 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6083 loss: 0.6083 2022/08/10 00:26:47 - mmengine - INFO - Epoch(train) [90][1460/1879] lr: 2.0000e-03 eta: 3:19:33 time: 0.6902 data_time: 0.0174 memory: 13723 grad_norm: 5.1759 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5139 loss: 0.5139 2022/08/10 00:27:03 - mmengine - INFO - Epoch(train) [90][1480/1879] lr: 2.0000e-03 eta: 3:19:21 time: 0.7718 data_time: 0.0226 memory: 13723 grad_norm: 4.9273 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7011 loss: 0.7011 2022/08/10 00:27:17 - mmengine - INFO - Epoch(train) [90][1500/1879] lr: 2.0000e-03 eta: 3:19:09 time: 0.7202 data_time: 0.0154 memory: 13723 grad_norm: 5.1210 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6080 loss: 0.6080 2022/08/10 00:27:33 - mmengine - INFO - Epoch(train) [90][1520/1879] lr: 2.0000e-03 eta: 3:18:57 time: 0.7707 data_time: 0.0412 memory: 13723 grad_norm: 5.2420 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6164 loss: 0.6164 2022/08/10 00:27:45 - mmengine - INFO - Epoch(train) [90][1540/1879] lr: 2.0000e-03 eta: 3:18:44 time: 0.6006 data_time: 0.0187 memory: 13723 grad_norm: 5.0344 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5890 loss: 0.5890 2022/08/10 00:28:03 - mmengine - INFO - Epoch(train) [90][1560/1879] lr: 2.0000e-03 eta: 3:18:33 time: 0.9257 data_time: 0.0236 memory: 13723 grad_norm: 5.0975 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5921 loss: 0.5921 2022/08/10 00:28:15 - mmengine - INFO - Epoch(train) [90][1580/1879] lr: 2.0000e-03 eta: 3:18:20 time: 0.6195 data_time: 0.0184 memory: 13723 grad_norm: 5.1078 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5917 loss: 0.5917 2022/08/10 00:28:30 - mmengine - INFO - Epoch(train) [90][1600/1879] lr: 2.0000e-03 eta: 3:18:08 time: 0.7109 data_time: 0.0219 memory: 13723 grad_norm: 5.1240 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5747 loss: 0.5747 2022/08/10 00:28:45 - mmengine - INFO - Epoch(train) [90][1620/1879] lr: 2.0000e-03 eta: 3:17:56 time: 0.7575 data_time: 0.0176 memory: 13723 grad_norm: 5.3566 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7608 loss: 0.7608 2022/08/10 00:29:00 - mmengine - INFO - Epoch(train) [90][1640/1879] lr: 2.0000e-03 eta: 3:17:43 time: 0.7581 data_time: 0.0229 memory: 13723 grad_norm: 5.0895 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7546 loss: 0.7546 2022/08/10 00:29:13 - mmengine - INFO - Epoch(train) [90][1660/1879] lr: 2.0000e-03 eta: 3:17:31 time: 0.6493 data_time: 0.0197 memory: 13723 grad_norm: 5.0206 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6010 loss: 0.6010 2022/08/10 00:29:25 - mmengine - INFO - Epoch(train) [90][1680/1879] lr: 2.0000e-03 eta: 3:17:19 time: 0.6180 data_time: 0.0220 memory: 13723 grad_norm: 5.2943 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6547 loss: 0.6547 2022/08/10 00:29:39 - mmengine - INFO - Epoch(train) [90][1700/1879] lr: 2.0000e-03 eta: 3:17:06 time: 0.6574 data_time: 0.0227 memory: 13723 grad_norm: 5.2638 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5834 loss: 0.5834 2022/08/10 00:29:52 - mmengine - INFO - Epoch(train) [90][1720/1879] lr: 2.0000e-03 eta: 3:16:54 time: 0.6694 data_time: 0.0224 memory: 13723 grad_norm: 5.3088 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6582 loss: 0.6582 2022/08/10 00:30:12 - mmengine - INFO - Epoch(train) [90][1740/1879] lr: 2.0000e-03 eta: 3:16:42 time: 0.9914 data_time: 0.0185 memory: 13723 grad_norm: 5.0792 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5900 loss: 0.5900 2022/08/10 00:30:29 - mmengine - INFO - Epoch(train) [90][1760/1879] lr: 2.0000e-03 eta: 3:16:30 time: 0.8367 data_time: 0.0652 memory: 13723 grad_norm: 5.1116 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5707 loss: 0.5707 2022/08/10 00:30:35 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 00:30:45 - mmengine - INFO - Epoch(train) [90][1780/1879] lr: 2.0000e-03 eta: 3:16:18 time: 0.8024 data_time: 0.0169 memory: 13723 grad_norm: 5.0509 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5386 loss: 0.5386 2022/08/10 00:30:56 - mmengine - INFO - Epoch(train) [90][1800/1879] lr: 2.0000e-03 eta: 3:16:06 time: 0.5690 data_time: 0.0256 memory: 13723 grad_norm: 5.2132 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6646 loss: 0.6646 2022/08/10 00:31:12 - mmengine - INFO - Epoch(train) [90][1820/1879] lr: 2.0000e-03 eta: 3:15:53 time: 0.8148 data_time: 0.1355 memory: 13723 grad_norm: 5.2553 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7283 loss: 0.7283 2022/08/10 00:31:25 - mmengine - INFO - Epoch(train) [90][1840/1879] lr: 2.0000e-03 eta: 3:15:41 time: 0.6510 data_time: 0.0410 memory: 13723 grad_norm: 5.1588 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5314 loss: 0.5314 2022/08/10 00:31:42 - mmengine - INFO - Epoch(train) [90][1860/1879] lr: 2.0000e-03 eta: 3:15:29 time: 0.8145 data_time: 0.0177 memory: 13723 grad_norm: 5.1350 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6506 loss: 0.6506 2022/08/10 00:31:53 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 00:31:53 - mmengine - INFO - Epoch(train) [90][1879/1879] lr: 2.0000e-03 eta: 3:15:29 time: 0.5785 data_time: 0.0149 memory: 13723 grad_norm: 5.5443 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 0.7971 loss: 0.7971 2022/08/10 00:31:53 - mmengine - INFO - Saving checkpoint at 90 epochs 2022/08/10 00:32:07 - mmengine - INFO - Epoch(val) [90][20/155] eta: 0:01:25 time: 0.6358 data_time: 0.4932 memory: 1829 2022/08/10 00:32:22 - mmengine - INFO - Epoch(val) [90][40/155] eta: 0:01:21 time: 0.7129 data_time: 0.5745 memory: 1829 2022/08/10 00:32:35 - mmengine - INFO - Epoch(val) [90][60/155] eta: 0:01:03 time: 0.6635 data_time: 0.5240 memory: 1829 2022/08/10 00:32:49 - mmengine - INFO - Epoch(val) [90][80/155] eta: 0:00:53 time: 0.7187 data_time: 0.5800 memory: 1829 2022/08/10 00:33:05 - mmengine - INFO - Epoch(val) [90][100/155] eta: 0:00:43 time: 0.7876 data_time: 0.6521 memory: 1829 2022/08/10 00:33:16 - mmengine - INFO - Epoch(val) [90][120/155] eta: 0:00:18 time: 0.5428 data_time: 0.4082 memory: 1829 2022/08/10 00:33:27 - mmengine - INFO - Epoch(val) [90][140/155] eta: 0:00:08 time: 0.5517 data_time: 0.4173 memory: 1829 2022/08/10 00:33:43 - mmengine - INFO - Epoch(val) [90][155/155] acc/top1: 0.7053 acc/top5: 0.8914 acc/mean1: 0.7052 2022/08/10 00:34:08 - mmengine - INFO - Epoch(train) [91][20/1879] lr: 2.0000e-04 eta: 3:15:05 time: 1.2552 data_time: 0.2137 memory: 13723 grad_norm: 5.1946 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5939 loss: 0.5939 2022/08/10 00:34:21 - mmengine - INFO - Epoch(train) [91][40/1879] lr: 2.0000e-04 eta: 3:14:52 time: 0.6387 data_time: 0.0209 memory: 13723 grad_norm: 4.7734 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5692 loss: 0.5692 2022/08/10 00:34:36 - mmengine - INFO - Epoch(train) [91][60/1879] lr: 2.0000e-04 eta: 3:14:40 time: 0.7724 data_time: 0.0223 memory: 13723 grad_norm: 4.9639 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5507 loss: 0.5507 2022/08/10 00:34:49 - mmengine - INFO - Epoch(train) [91][80/1879] lr: 2.0000e-04 eta: 3:14:28 time: 0.6540 data_time: 0.0187 memory: 13723 grad_norm: 5.0318 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6748 loss: 0.6748 2022/08/10 00:35:03 - mmengine - INFO - Epoch(train) [91][100/1879] lr: 2.0000e-04 eta: 3:14:15 time: 0.6676 data_time: 0.0194 memory: 13723 grad_norm: 4.8167 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6533 loss: 0.6533 2022/08/10 00:35:26 - mmengine - INFO - Epoch(train) [91][120/1879] lr: 2.0000e-04 eta: 3:14:04 time: 1.1439 data_time: 0.0423 memory: 13723 grad_norm: 5.2310 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5934 loss: 0.5934 2022/08/10 00:35:39 - mmengine - INFO - Epoch(train) [91][140/1879] lr: 2.0000e-04 eta: 3:13:52 time: 0.6913 data_time: 0.0206 memory: 13723 grad_norm: 5.1109 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6454 loss: 0.6454 2022/08/10 00:35:52 - mmengine - INFO - Epoch(train) [91][160/1879] lr: 2.0000e-04 eta: 3:13:39 time: 0.6072 data_time: 0.0196 memory: 13723 grad_norm: 4.8110 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5927 loss: 0.5927 2022/08/10 00:36:07 - mmengine - INFO - Epoch(train) [91][180/1879] lr: 2.0000e-04 eta: 3:13:27 time: 0.7761 data_time: 0.0194 memory: 13723 grad_norm: 5.1464 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5387 loss: 0.5387 2022/08/10 00:36:23 - mmengine - INFO - Epoch(train) [91][200/1879] lr: 2.0000e-04 eta: 3:13:15 time: 0.7739 data_time: 0.0212 memory: 13723 grad_norm: 5.0581 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5627 loss: 0.5627 2022/08/10 00:36:37 - mmengine - INFO - Epoch(train) [91][220/1879] lr: 2.0000e-04 eta: 3:13:03 time: 0.7280 data_time: 0.0201 memory: 13723 grad_norm: 5.1353 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5187 loss: 0.5187 2022/08/10 00:36:51 - mmengine - INFO - Epoch(train) [91][240/1879] lr: 2.0000e-04 eta: 3:12:50 time: 0.6703 data_time: 0.0194 memory: 13723 grad_norm: 4.8774 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5875 loss: 0.5875 2022/08/10 00:37:05 - mmengine - INFO - Epoch(train) [91][260/1879] lr: 2.0000e-04 eta: 3:12:38 time: 0.7010 data_time: 0.0225 memory: 13723 grad_norm: 4.8758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7187 loss: 0.7187 2022/08/10 00:37:23 - mmengine - INFO - Epoch(train) [91][280/1879] lr: 2.0000e-04 eta: 3:12:26 time: 0.9270 data_time: 0.0183 memory: 13723 grad_norm: 4.8706 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4961 loss: 0.4961 2022/08/10 00:37:37 - mmengine - INFO - Epoch(train) [91][300/1879] lr: 2.0000e-04 eta: 3:12:14 time: 0.7075 data_time: 0.0202 memory: 13723 grad_norm: 5.3958 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6735 loss: 0.6735 2022/08/10 00:37:51 - mmengine - INFO - Epoch(train) [91][320/1879] lr: 2.0000e-04 eta: 3:12:02 time: 0.6582 data_time: 0.0318 memory: 13723 grad_norm: 4.8805 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6255 loss: 0.6255 2022/08/10 00:38:05 - mmengine - INFO - Epoch(train) [91][340/1879] lr: 2.0000e-04 eta: 3:11:49 time: 0.7440 data_time: 0.0233 memory: 13723 grad_norm: 5.1913 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6046 loss: 0.6046 2022/08/10 00:38:19 - mmengine - INFO - Epoch(train) [91][360/1879] lr: 2.0000e-04 eta: 3:11:37 time: 0.6584 data_time: 0.0196 memory: 13723 grad_norm: 5.0266 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6719 loss: 0.6719 2022/08/10 00:38:31 - mmengine - INFO - Epoch(train) [91][380/1879] lr: 2.0000e-04 eta: 3:11:24 time: 0.6002 data_time: 0.0210 memory: 13723 grad_norm: 5.0437 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5948 loss: 0.5948 2022/08/10 00:38:43 - mmengine - INFO - Epoch(train) [91][400/1879] lr: 2.0000e-04 eta: 3:11:12 time: 0.6134 data_time: 0.0225 memory: 13723 grad_norm: 4.9996 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6405 loss: 0.6405 2022/08/10 00:38:55 - mmengine - INFO - Epoch(train) [91][420/1879] lr: 2.0000e-04 eta: 3:10:59 time: 0.6192 data_time: 0.0210 memory: 13723 grad_norm: 5.1043 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7201 loss: 0.7201 2022/08/10 00:39:09 - mmengine - INFO - Epoch(train) [91][440/1879] lr: 2.0000e-04 eta: 3:10:47 time: 0.6698 data_time: 0.0208 memory: 13723 grad_norm: 4.9194 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.5447 loss: 0.5447 2022/08/10 00:39:22 - mmengine - INFO - Epoch(train) [91][460/1879] lr: 2.0000e-04 eta: 3:10:35 time: 0.6393 data_time: 0.0237 memory: 13723 grad_norm: 4.8896 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6296 loss: 0.6296 2022/08/10 00:39:35 - mmengine - INFO - Epoch(train) [91][480/1879] lr: 2.0000e-04 eta: 3:10:22 time: 0.6791 data_time: 0.0184 memory: 13723 grad_norm: 4.8610 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4503 loss: 0.4503 2022/08/10 00:39:47 - mmengine - INFO - Epoch(train) [91][500/1879] lr: 2.0000e-04 eta: 3:10:10 time: 0.5829 data_time: 0.0245 memory: 13723 grad_norm: 4.7266 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5258 loss: 0.5258 2022/08/10 00:40:01 - mmengine - INFO - Epoch(train) [91][520/1879] lr: 2.0000e-04 eta: 3:09:57 time: 0.7214 data_time: 0.0216 memory: 13723 grad_norm: 4.9587 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5747 loss: 0.5747 2022/08/10 00:40:23 - mmengine - INFO - Epoch(train) [91][540/1879] lr: 2.0000e-04 eta: 3:09:46 time: 1.0976 data_time: 0.2071 memory: 13723 grad_norm: 4.9248 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6135 loss: 0.6135 2022/08/10 00:40:37 - mmengine - INFO - Epoch(train) [91][560/1879] lr: 2.0000e-04 eta: 3:09:34 time: 0.6730 data_time: 0.0482 memory: 13723 grad_norm: 4.9026 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5305 loss: 0.5305 2022/08/10 00:40:49 - mmengine - INFO - Epoch(train) [91][580/1879] lr: 2.0000e-04 eta: 3:09:21 time: 0.6080 data_time: 0.0223 memory: 13723 grad_norm: 4.7344 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6308 loss: 0.6308 2022/08/10 00:41:01 - mmengine - INFO - Epoch(train) [91][600/1879] lr: 2.0000e-04 eta: 3:09:08 time: 0.5876 data_time: 0.0223 memory: 13723 grad_norm: 4.9307 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4687 loss: 0.4687 2022/08/10 00:41:16 - mmengine - INFO - Epoch(train) [91][620/1879] lr: 2.0000e-04 eta: 3:08:56 time: 0.7797 data_time: 0.0238 memory: 13723 grad_norm: 4.7917 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6247 loss: 0.6247 2022/08/10 00:41:31 - mmengine - INFO - Epoch(train) [91][640/1879] lr: 2.0000e-04 eta: 3:08:44 time: 0.7230 data_time: 0.0191 memory: 13723 grad_norm: 4.8627 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5547 loss: 0.5547 2022/08/10 00:41:43 - mmengine - INFO - Epoch(train) [91][660/1879] lr: 2.0000e-04 eta: 3:08:32 time: 0.5874 data_time: 0.0223 memory: 13723 grad_norm: 5.0054 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6896 loss: 0.6896 2022/08/10 00:41:55 - mmengine - INFO - Epoch(train) [91][680/1879] lr: 2.0000e-04 eta: 3:08:19 time: 0.6378 data_time: 0.0205 memory: 13723 grad_norm: 5.0446 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6155 loss: 0.6155 2022/08/10 00:42:11 - mmengine - INFO - Epoch(train) [91][700/1879] lr: 2.0000e-04 eta: 3:08:07 time: 0.7910 data_time: 0.0206 memory: 13723 grad_norm: 5.0778 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6947 loss: 0.6947 2022/08/10 00:42:23 - mmengine - INFO - Epoch(train) [91][720/1879] lr: 2.0000e-04 eta: 3:07:54 time: 0.5732 data_time: 0.0234 memory: 13723 grad_norm: 4.9106 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6326 loss: 0.6326 2022/08/10 00:42:35 - mmengine - INFO - Epoch(train) [91][740/1879] lr: 2.0000e-04 eta: 3:07:42 time: 0.6052 data_time: 0.0387 memory: 13723 grad_norm: 5.1039 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6698 loss: 0.6698 2022/08/10 00:42:52 - mmengine - INFO - Epoch(train) [91][760/1879] lr: 2.0000e-04 eta: 3:07:30 time: 0.8424 data_time: 0.0197 memory: 13723 grad_norm: 4.9306 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4972 loss: 0.4972 2022/08/10 00:43:05 - mmengine - INFO - Epoch(train) [91][780/1879] lr: 2.0000e-04 eta: 3:07:17 time: 0.6538 data_time: 0.0178 memory: 13723 grad_norm: 5.0085 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6033 loss: 0.6033 2022/08/10 00:43:17 - mmengine - INFO - Epoch(train) [91][800/1879] lr: 2.0000e-04 eta: 3:07:05 time: 0.6138 data_time: 0.0213 memory: 13723 grad_norm: 5.0731 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5720 loss: 0.5720 2022/08/10 00:43:30 - mmengine - INFO - Epoch(train) [91][820/1879] lr: 2.0000e-04 eta: 3:06:53 time: 0.6671 data_time: 0.0205 memory: 13723 grad_norm: 4.8739 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5978 loss: 0.5978 2022/08/10 00:43:44 - mmengine - INFO - Epoch(train) [91][840/1879] lr: 2.0000e-04 eta: 3:06:40 time: 0.6983 data_time: 0.0194 memory: 13723 grad_norm: 5.1340 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4686 loss: 0.4686 2022/08/10 00:43:58 - mmengine - INFO - Epoch(train) [91][860/1879] lr: 2.0000e-04 eta: 3:06:28 time: 0.6850 data_time: 0.0205 memory: 13723 grad_norm: 4.9344 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7092 loss: 0.7092 2022/08/10 00:44:10 - mmengine - INFO - Epoch(train) [91][880/1879] lr: 2.0000e-04 eta: 3:06:15 time: 0.6193 data_time: 0.0207 memory: 13723 grad_norm: 4.9268 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7147 loss: 0.7147 2022/08/10 00:44:16 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 00:44:23 - mmengine - INFO - Epoch(train) [91][900/1879] lr: 2.0000e-04 eta: 3:06:03 time: 0.6368 data_time: 0.0223 memory: 13723 grad_norm: 5.0463 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6304 loss: 0.6304 2022/08/10 00:44:37 - mmengine - INFO - Epoch(train) [91][920/1879] lr: 2.0000e-04 eta: 3:05:51 time: 0.6786 data_time: 0.0227 memory: 13723 grad_norm: 4.8073 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5018 loss: 0.5018 2022/08/10 00:44:51 - mmengine - INFO - Epoch(train) [91][940/1879] lr: 2.0000e-04 eta: 3:05:38 time: 0.6852 data_time: 0.0208 memory: 13723 grad_norm: 4.9195 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5421 loss: 0.5421 2022/08/10 00:45:03 - mmengine - INFO - Epoch(train) [91][960/1879] lr: 2.0000e-04 eta: 3:05:26 time: 0.6400 data_time: 0.0212 memory: 13723 grad_norm: 5.0595 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6200 loss: 0.6200 2022/08/10 00:45:18 - mmengine - INFO - Epoch(train) [91][980/1879] lr: 2.0000e-04 eta: 3:05:13 time: 0.7341 data_time: 0.0214 memory: 13723 grad_norm: 5.0611 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6622 loss: 0.6622 2022/08/10 00:45:30 - mmengine - INFO - Epoch(train) [91][1000/1879] lr: 2.0000e-04 eta: 3:05:01 time: 0.5818 data_time: 0.0226 memory: 13723 grad_norm: 4.7809 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6177 loss: 0.6177 2022/08/10 00:45:43 - mmengine - INFO - Epoch(train) [91][1020/1879] lr: 2.0000e-04 eta: 3:04:49 time: 0.6613 data_time: 0.0207 memory: 13723 grad_norm: 4.8743 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5989 loss: 0.5989 2022/08/10 00:45:55 - mmengine - INFO - Epoch(train) [91][1040/1879] lr: 2.0000e-04 eta: 3:04:36 time: 0.5793 data_time: 0.0249 memory: 13723 grad_norm: 4.9666 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6489 loss: 0.6489 2022/08/10 00:46:06 - mmengine - INFO - Epoch(train) [91][1060/1879] lr: 2.0000e-04 eta: 3:04:23 time: 0.5939 data_time: 0.0250 memory: 13723 grad_norm: 4.8651 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5785 loss: 0.5785 2022/08/10 00:46:20 - mmengine - INFO - Epoch(train) [91][1080/1879] lr: 2.0000e-04 eta: 3:04:11 time: 0.7001 data_time: 0.0205 memory: 13723 grad_norm: 4.8722 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5736 loss: 0.5736 2022/08/10 00:46:35 - mmengine - INFO - Epoch(train) [91][1100/1879] lr: 2.0000e-04 eta: 3:03:59 time: 0.7348 data_time: 0.0193 memory: 13723 grad_norm: 4.7566 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4331 loss: 0.4331 2022/08/10 00:46:49 - mmengine - INFO - Epoch(train) [91][1120/1879] lr: 2.0000e-04 eta: 3:03:46 time: 0.6787 data_time: 0.0208 memory: 13723 grad_norm: 4.9134 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5549 loss: 0.5549 2022/08/10 00:47:02 - mmengine - INFO - Epoch(train) [91][1140/1879] lr: 2.0000e-04 eta: 3:03:34 time: 0.6397 data_time: 0.0216 memory: 13723 grad_norm: 5.0365 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5592 loss: 0.5592 2022/08/10 00:47:16 - mmengine - INFO - Epoch(train) [91][1160/1879] lr: 2.0000e-04 eta: 3:03:22 time: 0.7221 data_time: 0.0199 memory: 13723 grad_norm: 4.8900 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6409 loss: 0.6409 2022/08/10 00:47:30 - mmengine - INFO - Epoch(train) [91][1180/1879] lr: 2.0000e-04 eta: 3:03:09 time: 0.7088 data_time: 0.0221 memory: 13723 grad_norm: 4.8484 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4784 loss: 0.4784 2022/08/10 00:47:45 - mmengine - INFO - Epoch(train) [91][1200/1879] lr: 2.0000e-04 eta: 3:02:57 time: 0.7392 data_time: 0.0197 memory: 13723 grad_norm: 4.7912 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5527 loss: 0.5527 2022/08/10 00:47:58 - mmengine - INFO - Epoch(train) [91][1220/1879] lr: 2.0000e-04 eta: 3:02:45 time: 0.6404 data_time: 0.0204 memory: 13723 grad_norm: 4.7743 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5045 loss: 0.5045 2022/08/10 00:48:09 - mmengine - INFO - Epoch(train) [91][1240/1879] lr: 2.0000e-04 eta: 3:02:32 time: 0.5733 data_time: 0.0248 memory: 13723 grad_norm: 4.6910 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5554 loss: 0.5554 2022/08/10 00:48:21 - mmengine - INFO - Epoch(train) [91][1260/1879] lr: 2.0000e-04 eta: 3:02:20 time: 0.5838 data_time: 0.0251 memory: 13723 grad_norm: 4.6646 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5360 loss: 0.5360 2022/08/10 00:48:34 - mmengine - INFO - Epoch(train) [91][1280/1879] lr: 2.0000e-04 eta: 3:02:07 time: 0.6326 data_time: 0.0217 memory: 13723 grad_norm: 5.0779 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6755 loss: 0.6755 2022/08/10 00:48:49 - mmengine - INFO - Epoch(train) [91][1300/1879] lr: 2.0000e-04 eta: 3:01:55 time: 0.7390 data_time: 0.1211 memory: 13723 grad_norm: 4.9782 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6094 loss: 0.6094 2022/08/10 00:49:00 - mmengine - INFO - Epoch(train) [91][1320/1879] lr: 2.0000e-04 eta: 3:01:42 time: 0.5655 data_time: 0.0230 memory: 13723 grad_norm: 4.8784 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6852 loss: 0.6852 2022/08/10 00:49:15 - mmengine - INFO - Epoch(train) [91][1340/1879] lr: 2.0000e-04 eta: 3:01:30 time: 0.7777 data_time: 0.0203 memory: 13723 grad_norm: 4.8440 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5151 loss: 0.5151 2022/08/10 00:49:27 - mmengine - INFO - Epoch(train) [91][1360/1879] lr: 2.0000e-04 eta: 3:01:18 time: 0.5773 data_time: 0.0244 memory: 13723 grad_norm: 4.8486 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5772 loss: 0.5772 2022/08/10 00:49:40 - mmengine - INFO - Epoch(train) [91][1380/1879] lr: 2.0000e-04 eta: 3:01:05 time: 0.6650 data_time: 0.0220 memory: 13723 grad_norm: 5.1290 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6419 loss: 0.6419 2022/08/10 00:49:54 - mmengine - INFO - Epoch(train) [91][1400/1879] lr: 2.0000e-04 eta: 3:00:53 time: 0.6617 data_time: 0.0192 memory: 13723 grad_norm: 4.9764 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.4961 loss: 0.4961 2022/08/10 00:50:05 - mmengine - INFO - Epoch(train) [91][1420/1879] lr: 2.0000e-04 eta: 3:00:40 time: 0.5771 data_time: 0.0217 memory: 13723 grad_norm: 5.0045 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5646 loss: 0.5646 2022/08/10 00:50:23 - mmengine - INFO - Epoch(train) [91][1440/1879] lr: 2.0000e-04 eta: 3:00:28 time: 0.8947 data_time: 0.0202 memory: 13723 grad_norm: 4.7491 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5231 loss: 0.5231 2022/08/10 00:50:37 - mmengine - INFO - Epoch(train) [91][1460/1879] lr: 2.0000e-04 eta: 3:00:16 time: 0.7108 data_time: 0.0235 memory: 13723 grad_norm: 5.0324 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5697 loss: 0.5697 2022/08/10 00:50:49 - mmengine - INFO - Epoch(train) [91][1480/1879] lr: 2.0000e-04 eta: 3:00:03 time: 0.5926 data_time: 0.0204 memory: 13723 grad_norm: 4.8588 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4754 loss: 0.4754 2022/08/10 00:51:01 - mmengine - INFO - Epoch(train) [91][1500/1879] lr: 2.0000e-04 eta: 2:59:51 time: 0.6032 data_time: 0.0435 memory: 13723 grad_norm: 4.9978 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6221 loss: 0.6221 2022/08/10 00:51:15 - mmengine - INFO - Epoch(train) [91][1520/1879] lr: 2.0000e-04 eta: 2:59:38 time: 0.6923 data_time: 0.0209 memory: 13723 grad_norm: 4.8531 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4856 loss: 0.4856 2022/08/10 00:51:28 - mmengine - INFO - Epoch(train) [91][1540/1879] lr: 2.0000e-04 eta: 2:59:26 time: 0.6277 data_time: 0.0220 memory: 13723 grad_norm: 4.8006 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4902 loss: 0.4902 2022/08/10 00:51:40 - mmengine - INFO - Epoch(train) [91][1560/1879] lr: 2.0000e-04 eta: 2:59:13 time: 0.5948 data_time: 0.0211 memory: 13723 grad_norm: 4.9706 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6126 loss: 0.6126 2022/08/10 00:51:53 - mmengine - INFO - Epoch(train) [91][1580/1879] lr: 2.0000e-04 eta: 2:59:01 time: 0.6553 data_time: 0.0234 memory: 13723 grad_norm: 4.9761 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6078 loss: 0.6078 2022/08/10 00:52:07 - mmengine - INFO - Epoch(train) [91][1600/1879] lr: 2.0000e-04 eta: 2:58:49 time: 0.6903 data_time: 0.0208 memory: 13723 grad_norm: 5.0302 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6644 loss: 0.6644 2022/08/10 00:52:21 - mmengine - INFO - Epoch(train) [91][1620/1879] lr: 2.0000e-04 eta: 2:58:36 time: 0.7146 data_time: 0.0212 memory: 13723 grad_norm: 4.8147 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7680 loss: 0.7680 2022/08/10 00:52:34 - mmengine - INFO - Epoch(train) [91][1640/1879] lr: 2.0000e-04 eta: 2:58:24 time: 0.6507 data_time: 0.0220 memory: 13723 grad_norm: 4.7946 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4972 loss: 0.4972 2022/08/10 00:52:49 - mmengine - INFO - Epoch(train) [91][1660/1879] lr: 2.0000e-04 eta: 2:58:12 time: 0.7435 data_time: 0.0210 memory: 13723 grad_norm: 4.8309 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6570 loss: 0.6570 2022/08/10 00:53:00 - mmengine - INFO - Epoch(train) [91][1680/1879] lr: 2.0000e-04 eta: 2:57:59 time: 0.5733 data_time: 0.0240 memory: 13723 grad_norm: 4.9537 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5218 loss: 0.5218 2022/08/10 00:53:13 - mmengine - INFO - Epoch(train) [91][1700/1879] lr: 2.0000e-04 eta: 2:57:47 time: 0.6164 data_time: 0.0227 memory: 13723 grad_norm: 4.9680 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5385 loss: 0.5385 2022/08/10 00:53:26 - mmengine - INFO - Epoch(train) [91][1720/1879] lr: 2.0000e-04 eta: 2:57:34 time: 0.6852 data_time: 0.0196 memory: 13723 grad_norm: 5.0365 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5868 loss: 0.5868 2022/08/10 00:53:39 - mmengine - INFO - Epoch(train) [91][1740/1879] lr: 2.0000e-04 eta: 2:57:22 time: 0.6542 data_time: 0.0200 memory: 13723 grad_norm: 4.9228 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5994 loss: 0.5994 2022/08/10 00:53:52 - mmengine - INFO - Epoch(train) [91][1760/1879] lr: 2.0000e-04 eta: 2:57:09 time: 0.6519 data_time: 0.0208 memory: 13723 grad_norm: 5.0318 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6607 loss: 0.6607 2022/08/10 00:54:04 - mmengine - INFO - Epoch(train) [91][1780/1879] lr: 2.0000e-04 eta: 2:56:57 time: 0.5769 data_time: 0.0218 memory: 13723 grad_norm: 5.0294 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6459 loss: 0.6459 2022/08/10 00:54:17 - mmengine - INFO - Epoch(train) [91][1800/1879] lr: 2.0000e-04 eta: 2:56:44 time: 0.6683 data_time: 0.0229 memory: 13723 grad_norm: 4.9283 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4761 loss: 0.4761 2022/08/10 00:54:31 - mmengine - INFO - Epoch(train) [91][1820/1879] lr: 2.0000e-04 eta: 2:56:32 time: 0.6936 data_time: 0.0221 memory: 13723 grad_norm: 5.0447 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4189 loss: 0.4189 2022/08/10 00:54:44 - mmengine - INFO - Epoch(train) [91][1840/1879] lr: 2.0000e-04 eta: 2:56:20 time: 0.6333 data_time: 0.0216 memory: 13723 grad_norm: 4.8781 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4809 loss: 0.4809 2022/08/10 00:54:57 - mmengine - INFO - Epoch(train) [91][1860/1879] lr: 2.0000e-04 eta: 2:56:07 time: 0.6426 data_time: 0.0207 memory: 13723 grad_norm: 4.9184 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6208 loss: 0.6208 2022/08/10 00:55:12 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 00:55:12 - mmengine - INFO - Epoch(train) [91][1879/1879] lr: 2.0000e-04 eta: 2:56:07 time: 0.7620 data_time: 0.0185 memory: 13723 grad_norm: 5.0221 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.6322 loss: 0.6322 2022/08/10 00:55:30 - mmengine - INFO - Epoch(val) [91][20/155] eta: 0:02:06 time: 0.9367 data_time: 0.7965 memory: 1829 2022/08/10 00:55:38 - mmengine - INFO - Epoch(val) [91][40/155] eta: 0:00:45 time: 0.3960 data_time: 0.2569 memory: 1829 2022/08/10 00:55:51 - mmengine - INFO - Epoch(val) [91][60/155] eta: 0:01:01 time: 0.6432 data_time: 0.5048 memory: 1829 2022/08/10 00:55:59 - mmengine - INFO - Epoch(val) [91][80/155] eta: 0:00:30 time: 0.4059 data_time: 0.2664 memory: 1829 2022/08/10 00:56:12 - mmengine - INFO - Epoch(val) [91][100/155] eta: 0:00:35 time: 0.6542 data_time: 0.5148 memory: 1829 2022/08/10 00:56:25 - mmengine - INFO - Epoch(val) [91][120/155] eta: 0:00:21 time: 0.6223 data_time: 0.4836 memory: 1829 2022/08/10 00:56:37 - mmengine - INFO - Epoch(val) [91][140/155] eta: 0:00:09 time: 0.6040 data_time: 0.4695 memory: 1829 2022/08/10 00:56:49 - mmengine - INFO - Epoch(val) [91][155/155] acc/top1: 0.7103 acc/top5: 0.8951 acc/mean1: 0.7102 2022/08/10 00:57:04 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 00:57:11 - mmengine - INFO - Epoch(train) [92][20/1879] lr: 2.0000e-04 eta: 2:55:43 time: 1.1133 data_time: 0.2526 memory: 13723 grad_norm: 4.9070 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5632 loss: 0.5632 2022/08/10 00:57:30 - mmengine - INFO - Epoch(train) [92][40/1879] lr: 2.0000e-04 eta: 2:55:31 time: 0.9433 data_time: 0.0193 memory: 13723 grad_norm: 4.7326 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6526 loss: 0.6526 2022/08/10 00:57:42 - mmengine - INFO - Epoch(train) [92][60/1879] lr: 2.0000e-04 eta: 2:55:18 time: 0.5679 data_time: 0.0225 memory: 13723 grad_norm: 4.9423 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7446 loss: 0.7446 2022/08/10 00:57:54 - mmengine - INFO - Epoch(train) [92][80/1879] lr: 2.0000e-04 eta: 2:55:06 time: 0.5951 data_time: 0.0287 memory: 13723 grad_norm: 4.9238 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5645 loss: 0.5645 2022/08/10 00:58:10 - mmengine - INFO - Epoch(train) [92][100/1879] lr: 2.0000e-04 eta: 2:54:54 time: 0.8233 data_time: 0.0195 memory: 13723 grad_norm: 5.0773 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6079 loss: 0.6079 2022/08/10 00:58:26 - mmengine - INFO - Epoch(train) [92][120/1879] lr: 2.0000e-04 eta: 2:54:41 time: 0.7842 data_time: 0.0198 memory: 13723 grad_norm: 4.8027 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5421 loss: 0.5421 2022/08/10 00:58:38 - mmengine - INFO - Epoch(train) [92][140/1879] lr: 2.0000e-04 eta: 2:54:29 time: 0.6293 data_time: 0.0209 memory: 13723 grad_norm: 4.9869 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4977 loss: 0.4977 2022/08/10 00:58:51 - mmengine - INFO - Epoch(train) [92][160/1879] lr: 2.0000e-04 eta: 2:54:16 time: 0.6161 data_time: 0.0220 memory: 13723 grad_norm: 4.9104 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6660 loss: 0.6660 2022/08/10 00:59:08 - mmengine - INFO - Epoch(train) [92][180/1879] lr: 2.0000e-04 eta: 2:54:04 time: 0.8756 data_time: 0.0205 memory: 13723 grad_norm: 4.9008 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6290 loss: 0.6290 2022/08/10 00:59:20 - mmengine - INFO - Epoch(train) [92][200/1879] lr: 2.0000e-04 eta: 2:53:52 time: 0.5686 data_time: 0.0221 memory: 13723 grad_norm: 4.9401 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5816 loss: 0.5816 2022/08/10 00:59:31 - mmengine - INFO - Epoch(train) [92][220/1879] lr: 2.0000e-04 eta: 2:53:39 time: 0.5776 data_time: 0.0257 memory: 13723 grad_norm: 5.0392 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5033 loss: 0.5033 2022/08/10 00:59:45 - mmengine - INFO - Epoch(train) [92][240/1879] lr: 2.0000e-04 eta: 2:53:27 time: 0.6850 data_time: 0.0212 memory: 13723 grad_norm: 4.8142 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5457 loss: 0.5457 2022/08/10 00:59:56 - mmengine - INFO - Epoch(train) [92][260/1879] lr: 2.0000e-04 eta: 2:53:14 time: 0.5769 data_time: 0.0241 memory: 13723 grad_norm: 5.0086 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5832 loss: 0.5832 2022/08/10 01:00:11 - mmengine - INFO - Epoch(train) [92][280/1879] lr: 2.0000e-04 eta: 2:53:02 time: 0.7210 data_time: 0.0223 memory: 13723 grad_norm: 5.1849 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6535 loss: 0.6535 2022/08/10 01:00:24 - mmengine - INFO - Epoch(train) [92][300/1879] lr: 2.0000e-04 eta: 2:52:50 time: 0.6465 data_time: 0.0271 memory: 13723 grad_norm: 5.0162 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6833 loss: 0.6833 2022/08/10 01:00:39 - mmengine - INFO - Epoch(train) [92][320/1879] lr: 2.0000e-04 eta: 2:52:37 time: 0.7702 data_time: 0.0195 memory: 13723 grad_norm: 4.9429 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6465 loss: 0.6465 2022/08/10 01:00:51 - mmengine - INFO - Epoch(train) [92][340/1879] lr: 2.0000e-04 eta: 2:52:25 time: 0.5746 data_time: 0.0239 memory: 13723 grad_norm: 4.7796 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4712 loss: 0.4712 2022/08/10 01:01:07 - mmengine - INFO - Epoch(train) [92][360/1879] lr: 2.0000e-04 eta: 2:52:13 time: 0.8325 data_time: 0.0206 memory: 13723 grad_norm: 4.9412 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5612 loss: 0.5612 2022/08/10 01:01:19 - mmengine - INFO - Epoch(train) [92][380/1879] lr: 2.0000e-04 eta: 2:52:00 time: 0.5684 data_time: 0.0214 memory: 13723 grad_norm: 5.0567 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7111 loss: 0.7111 2022/08/10 01:01:30 - mmengine - INFO - Epoch(train) [92][400/1879] lr: 2.0000e-04 eta: 2:51:48 time: 0.5830 data_time: 0.0256 memory: 13723 grad_norm: 4.8982 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5661 loss: 0.5661 2022/08/10 01:01:46 - mmengine - INFO - Epoch(train) [92][420/1879] lr: 2.0000e-04 eta: 2:51:35 time: 0.7531 data_time: 0.0199 memory: 13723 grad_norm: 5.0073 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6307 loss: 0.6307 2022/08/10 01:01:58 - mmengine - INFO - Epoch(train) [92][440/1879] lr: 2.0000e-04 eta: 2:51:23 time: 0.6204 data_time: 0.0217 memory: 13723 grad_norm: 4.9867 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6424 loss: 0.6424 2022/08/10 01:02:12 - mmengine - INFO - Epoch(train) [92][460/1879] lr: 2.0000e-04 eta: 2:51:10 time: 0.6814 data_time: 0.0233 memory: 13723 grad_norm: 4.9199 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5423 loss: 0.5423 2022/08/10 01:02:25 - mmengine - INFO - Epoch(train) [92][480/1879] lr: 2.0000e-04 eta: 2:50:58 time: 0.6593 data_time: 0.0228 memory: 13723 grad_norm: 4.8442 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5875 loss: 0.5875 2022/08/10 01:02:36 - mmengine - INFO - Epoch(train) [92][500/1879] lr: 2.0000e-04 eta: 2:50:45 time: 0.5665 data_time: 0.0222 memory: 13723 grad_norm: 4.7706 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5660 loss: 0.5660 2022/08/10 01:02:48 - mmengine - INFO - Epoch(train) [92][520/1879] lr: 2.0000e-04 eta: 2:50:33 time: 0.5794 data_time: 0.0272 memory: 13723 grad_norm: 4.8521 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6566 loss: 0.6566 2022/08/10 01:03:00 - mmengine - INFO - Epoch(train) [92][540/1879] lr: 2.0000e-04 eta: 2:50:20 time: 0.6241 data_time: 0.0247 memory: 13723 grad_norm: 4.9891 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6511 loss: 0.6511 2022/08/10 01:03:12 - mmengine - INFO - Epoch(train) [92][560/1879] lr: 2.0000e-04 eta: 2:50:08 time: 0.5789 data_time: 0.0234 memory: 13723 grad_norm: 4.9159 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5993 loss: 0.5993 2022/08/10 01:03:23 - mmengine - INFO - Epoch(train) [92][580/1879] lr: 2.0000e-04 eta: 2:49:55 time: 0.5732 data_time: 0.0235 memory: 13723 grad_norm: 4.6953 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6008 loss: 0.6008 2022/08/10 01:03:39 - mmengine - INFO - Epoch(train) [92][600/1879] lr: 2.0000e-04 eta: 2:49:43 time: 0.7863 data_time: 0.0213 memory: 13723 grad_norm: 5.1466 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5286 loss: 0.5286 2022/08/10 01:03:51 - mmengine - INFO - Epoch(train) [92][620/1879] lr: 2.0000e-04 eta: 2:49:31 time: 0.6185 data_time: 0.0219 memory: 13723 grad_norm: 4.9464 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5696 loss: 0.5696 2022/08/10 01:04:03 - mmengine - INFO - Epoch(train) [92][640/1879] lr: 2.0000e-04 eta: 2:49:18 time: 0.5709 data_time: 0.0233 memory: 13723 grad_norm: 4.8784 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5903 loss: 0.5903 2022/08/10 01:04:15 - mmengine - INFO - Epoch(train) [92][660/1879] lr: 2.0000e-04 eta: 2:49:05 time: 0.6247 data_time: 0.0212 memory: 13723 grad_norm: 4.8217 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5691 loss: 0.5691 2022/08/10 01:04:32 - mmengine - INFO - Epoch(train) [92][680/1879] lr: 2.0000e-04 eta: 2:48:53 time: 0.8381 data_time: 0.0178 memory: 13723 grad_norm: 4.7322 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5514 loss: 0.5514 2022/08/10 01:04:46 - mmengine - INFO - Epoch(train) [92][700/1879] lr: 2.0000e-04 eta: 2:48:41 time: 0.6915 data_time: 0.0205 memory: 13723 grad_norm: 4.9466 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4640 loss: 0.4640 2022/08/10 01:04:59 - mmengine - INFO - Epoch(train) [92][720/1879] lr: 2.0000e-04 eta: 2:48:29 time: 0.6360 data_time: 0.0225 memory: 13723 grad_norm: 5.0001 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5963 loss: 0.5963 2022/08/10 01:05:12 - mmengine - INFO - Epoch(train) [92][740/1879] lr: 2.0000e-04 eta: 2:48:16 time: 0.6404 data_time: 0.0209 memory: 13723 grad_norm: 4.9858 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5915 loss: 0.5915 2022/08/10 01:05:24 - mmengine - INFO - Epoch(train) [92][760/1879] lr: 2.0000e-04 eta: 2:48:04 time: 0.6146 data_time: 0.0240 memory: 13723 grad_norm: 4.7953 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5189 loss: 0.5189 2022/08/10 01:05:38 - mmengine - INFO - Epoch(train) [92][780/1879] lr: 2.0000e-04 eta: 2:47:51 time: 0.7227 data_time: 0.0213 memory: 13723 grad_norm: 4.7497 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5681 loss: 0.5681 2022/08/10 01:05:50 - mmengine - INFO - Epoch(train) [92][800/1879] lr: 2.0000e-04 eta: 2:47:39 time: 0.5877 data_time: 0.0219 memory: 13723 grad_norm: 4.8485 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5841 loss: 0.5841 2022/08/10 01:06:02 - mmengine - INFO - Epoch(train) [92][820/1879] lr: 2.0000e-04 eta: 2:47:26 time: 0.5835 data_time: 0.0248 memory: 13723 grad_norm: 4.8186 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6276 loss: 0.6276 2022/08/10 01:06:16 - mmengine - INFO - Epoch(train) [92][840/1879] lr: 2.0000e-04 eta: 2:47:14 time: 0.7080 data_time: 0.0220 memory: 13723 grad_norm: 4.9406 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4903 loss: 0.4903 2022/08/10 01:06:28 - mmengine - INFO - Epoch(train) [92][860/1879] lr: 2.0000e-04 eta: 2:47:01 time: 0.6073 data_time: 0.0202 memory: 13723 grad_norm: 5.0079 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6296 loss: 0.6296 2022/08/10 01:06:42 - mmengine - INFO - Epoch(train) [92][880/1879] lr: 2.0000e-04 eta: 2:46:49 time: 0.7068 data_time: 0.0256 memory: 13723 grad_norm: 4.9623 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6158 loss: 0.6158 2022/08/10 01:06:54 - mmengine - INFO - Epoch(train) [92][900/1879] lr: 2.0000e-04 eta: 2:46:36 time: 0.5778 data_time: 0.0229 memory: 13723 grad_norm: 5.0561 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6037 loss: 0.6037 2022/08/10 01:07:06 - mmengine - INFO - Epoch(train) [92][920/1879] lr: 2.0000e-04 eta: 2:46:24 time: 0.6192 data_time: 0.0206 memory: 13723 grad_norm: 4.8829 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5694 loss: 0.5694 2022/08/10 01:07:19 - mmengine - INFO - Epoch(train) [92][940/1879] lr: 2.0000e-04 eta: 2:46:11 time: 0.6118 data_time: 0.0220 memory: 13723 grad_norm: 4.9093 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5880 loss: 0.5880 2022/08/10 01:07:33 - mmengine - INFO - Epoch(train) [92][960/1879] lr: 2.0000e-04 eta: 2:45:59 time: 0.7183 data_time: 0.0209 memory: 13723 grad_norm: 4.9346 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5297 loss: 0.5297 2022/08/10 01:07:47 - mmengine - INFO - Epoch(train) [92][980/1879] lr: 2.0000e-04 eta: 2:45:47 time: 0.7157 data_time: 0.0193 memory: 13723 grad_norm: 4.8867 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5237 loss: 0.5237 2022/08/10 01:08:01 - mmengine - INFO - Epoch(train) [92][1000/1879] lr: 2.0000e-04 eta: 2:45:34 time: 0.6668 data_time: 0.0288 memory: 13723 grad_norm: 4.9176 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5710 loss: 0.5710 2022/08/10 01:08:09 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 01:08:14 - mmengine - INFO - Epoch(train) [92][1020/1879] lr: 2.0000e-04 eta: 2:45:22 time: 0.6747 data_time: 0.0194 memory: 13723 grad_norm: 4.7581 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5676 loss: 0.5676 2022/08/10 01:08:30 - mmengine - INFO - Epoch(train) [92][1040/1879] lr: 2.0000e-04 eta: 2:45:10 time: 0.7985 data_time: 0.0195 memory: 13723 grad_norm: 4.8646 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6179 loss: 0.6179 2022/08/10 01:08:44 - mmengine - INFO - Epoch(train) [92][1060/1879] lr: 2.0000e-04 eta: 2:44:57 time: 0.6818 data_time: 0.0491 memory: 13723 grad_norm: 4.9134 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6399 loss: 0.6399 2022/08/10 01:09:00 - mmengine - INFO - Epoch(train) [92][1080/1879] lr: 2.0000e-04 eta: 2:44:45 time: 0.7969 data_time: 0.0186 memory: 13723 grad_norm: 4.9540 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6502 loss: 0.6502 2022/08/10 01:09:12 - mmengine - INFO - Epoch(train) [92][1100/1879] lr: 2.0000e-04 eta: 2:44:33 time: 0.6267 data_time: 0.0362 memory: 13723 grad_norm: 4.8128 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5778 loss: 0.5778 2022/08/10 01:09:28 - mmengine - INFO - Epoch(train) [92][1120/1879] lr: 2.0000e-04 eta: 2:44:21 time: 0.7809 data_time: 0.0175 memory: 13723 grad_norm: 4.7147 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7358 loss: 0.7358 2022/08/10 01:09:43 - mmengine - INFO - Epoch(train) [92][1140/1879] lr: 2.0000e-04 eta: 2:44:08 time: 0.7469 data_time: 0.0205 memory: 13723 grad_norm: 4.9150 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5820 loss: 0.5820 2022/08/10 01:09:56 - mmengine - INFO - Epoch(train) [92][1160/1879] lr: 2.0000e-04 eta: 2:43:56 time: 0.6434 data_time: 0.0204 memory: 13723 grad_norm: 5.0890 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6210 loss: 0.6210 2022/08/10 01:10:09 - mmengine - INFO - Epoch(train) [92][1180/1879] lr: 2.0000e-04 eta: 2:43:43 time: 0.6713 data_time: 0.0217 memory: 13723 grad_norm: 4.9760 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6605 loss: 0.6605 2022/08/10 01:10:24 - mmengine - INFO - Epoch(train) [92][1200/1879] lr: 2.0000e-04 eta: 2:43:31 time: 0.7597 data_time: 0.0196 memory: 13723 grad_norm: 4.9193 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4709 loss: 0.4709 2022/08/10 01:10:40 - mmengine - INFO - Epoch(train) [92][1220/1879] lr: 2.0000e-04 eta: 2:43:19 time: 0.7613 data_time: 0.0204 memory: 13723 grad_norm: 4.9988 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6060 loss: 0.6060 2022/08/10 01:10:54 - mmengine - INFO - Epoch(train) [92][1240/1879] lr: 2.0000e-04 eta: 2:43:07 time: 0.7309 data_time: 0.0197 memory: 13723 grad_norm: 4.7073 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.5365 loss: 0.5365 2022/08/10 01:11:09 - mmengine - INFO - Epoch(train) [92][1260/1879] lr: 2.0000e-04 eta: 2:42:54 time: 0.7124 data_time: 0.0209 memory: 13723 grad_norm: 4.9594 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5189 loss: 0.5189 2022/08/10 01:11:25 - mmengine - INFO - Epoch(train) [92][1280/1879] lr: 2.0000e-04 eta: 2:42:42 time: 0.8056 data_time: 0.0211 memory: 13723 grad_norm: 4.7805 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5673 loss: 0.5673 2022/08/10 01:11:38 - mmengine - INFO - Epoch(train) [92][1300/1879] lr: 2.0000e-04 eta: 2:42:30 time: 0.6512 data_time: 0.0204 memory: 13723 grad_norm: 4.8896 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4801 loss: 0.4801 2022/08/10 01:11:50 - mmengine - INFO - Epoch(train) [92][1320/1879] lr: 2.0000e-04 eta: 2:42:17 time: 0.5887 data_time: 0.0245 memory: 13723 grad_norm: 4.8891 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4936 loss: 0.4936 2022/08/10 01:12:08 - mmengine - INFO - Epoch(train) [92][1340/1879] lr: 2.0000e-04 eta: 2:42:05 time: 0.9108 data_time: 0.0188 memory: 13723 grad_norm: 4.9908 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5924 loss: 0.5924 2022/08/10 01:12:21 - mmengine - INFO - Epoch(train) [92][1360/1879] lr: 2.0000e-04 eta: 2:41:53 time: 0.6461 data_time: 0.0216 memory: 13723 grad_norm: 5.0255 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6781 loss: 0.6781 2022/08/10 01:12:35 - mmengine - INFO - Epoch(train) [92][1380/1879] lr: 2.0000e-04 eta: 2:41:40 time: 0.7022 data_time: 0.0205 memory: 13723 grad_norm: 4.8893 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6069 loss: 0.6069 2022/08/10 01:12:48 - mmengine - INFO - Epoch(train) [92][1400/1879] lr: 2.0000e-04 eta: 2:41:28 time: 0.6664 data_time: 0.0204 memory: 13723 grad_norm: 4.8558 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6903 loss: 0.6903 2022/08/10 01:13:02 - mmengine - INFO - Epoch(train) [92][1420/1879] lr: 2.0000e-04 eta: 2:41:16 time: 0.7037 data_time: 0.0189 memory: 13723 grad_norm: 4.9654 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6698 loss: 0.6698 2022/08/10 01:13:15 - mmengine - INFO - Epoch(train) [92][1440/1879] lr: 2.0000e-04 eta: 2:41:03 time: 0.6203 data_time: 0.0237 memory: 13723 grad_norm: 4.9061 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5902 loss: 0.5902 2022/08/10 01:13:27 - mmengine - INFO - Epoch(train) [92][1460/1879] lr: 2.0000e-04 eta: 2:40:51 time: 0.5954 data_time: 0.0204 memory: 13723 grad_norm: 4.9179 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4991 loss: 0.4991 2022/08/10 01:13:41 - mmengine - INFO - Epoch(train) [92][1480/1879] lr: 2.0000e-04 eta: 2:40:38 time: 0.7057 data_time: 0.0215 memory: 13723 grad_norm: 4.9975 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6517 loss: 0.6517 2022/08/10 01:13:57 - mmengine - INFO - Epoch(train) [92][1500/1879] lr: 2.0000e-04 eta: 2:40:26 time: 0.8045 data_time: 0.0182 memory: 13723 grad_norm: 4.9030 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6145 loss: 0.6145 2022/08/10 01:14:10 - mmengine - INFO - Epoch(train) [92][1520/1879] lr: 2.0000e-04 eta: 2:40:14 time: 0.6547 data_time: 0.0207 memory: 13723 grad_norm: 4.9949 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5618 loss: 0.5618 2022/08/10 01:14:22 - mmengine - INFO - Epoch(train) [92][1540/1879] lr: 2.0000e-04 eta: 2:40:01 time: 0.5863 data_time: 0.0211 memory: 13723 grad_norm: 5.1128 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5263 loss: 0.5263 2022/08/10 01:14:39 - mmengine - INFO - Epoch(train) [92][1560/1879] lr: 2.0000e-04 eta: 2:39:49 time: 0.8712 data_time: 0.0218 memory: 13723 grad_norm: 4.9075 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4803 loss: 0.4803 2022/08/10 01:14:55 - mmengine - INFO - Epoch(train) [92][1580/1879] lr: 2.0000e-04 eta: 2:39:37 time: 0.7928 data_time: 0.0187 memory: 13723 grad_norm: 5.0390 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6912 loss: 0.6912 2022/08/10 01:15:11 - mmengine - INFO - Epoch(train) [92][1600/1879] lr: 2.0000e-04 eta: 2:39:25 time: 0.8030 data_time: 0.0220 memory: 13723 grad_norm: 4.7946 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5809 loss: 0.5809 2022/08/10 01:15:24 - mmengine - INFO - Epoch(train) [92][1620/1879] lr: 2.0000e-04 eta: 2:39:12 time: 0.6506 data_time: 0.0210 memory: 13723 grad_norm: 4.8567 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5554 loss: 0.5554 2022/08/10 01:15:38 - mmengine - INFO - Epoch(train) [92][1640/1879] lr: 2.0000e-04 eta: 2:39:00 time: 0.6759 data_time: 0.0204 memory: 13723 grad_norm: 4.7870 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5210 loss: 0.5210 2022/08/10 01:15:52 - mmengine - INFO - Epoch(train) [92][1660/1879] lr: 2.0000e-04 eta: 2:38:47 time: 0.6984 data_time: 0.0219 memory: 13723 grad_norm: 4.9152 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4821 loss: 0.4821 2022/08/10 01:16:04 - mmengine - INFO - Epoch(train) [92][1680/1879] lr: 2.0000e-04 eta: 2:38:35 time: 0.6391 data_time: 0.0229 memory: 13723 grad_norm: 4.9664 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6256 loss: 0.6256 2022/08/10 01:16:19 - mmengine - INFO - Epoch(train) [92][1700/1879] lr: 2.0000e-04 eta: 2:38:23 time: 0.7304 data_time: 0.0249 memory: 13723 grad_norm: 4.9607 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5101 loss: 0.5101 2022/08/10 01:16:31 - mmengine - INFO - Epoch(train) [92][1720/1879] lr: 2.0000e-04 eta: 2:38:10 time: 0.6195 data_time: 0.0225 memory: 13723 grad_norm: 4.8759 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5283 loss: 0.5283 2022/08/10 01:16:44 - mmengine - INFO - Epoch(train) [92][1740/1879] lr: 2.0000e-04 eta: 2:37:58 time: 0.6074 data_time: 0.0193 memory: 13723 grad_norm: 4.9924 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6642 loss: 0.6642 2022/08/10 01:16:57 - mmengine - INFO - Epoch(train) [92][1760/1879] lr: 2.0000e-04 eta: 2:37:45 time: 0.6916 data_time: 0.0205 memory: 13723 grad_norm: 4.9517 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5959 loss: 0.5959 2022/08/10 01:17:11 - mmengine - INFO - Epoch(train) [92][1780/1879] lr: 2.0000e-04 eta: 2:37:33 time: 0.6876 data_time: 0.0200 memory: 13723 grad_norm: 4.8668 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5892 loss: 0.5892 2022/08/10 01:17:24 - mmengine - INFO - Epoch(train) [92][1800/1879] lr: 2.0000e-04 eta: 2:37:20 time: 0.6211 data_time: 0.0246 memory: 13723 grad_norm: 4.9167 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5447 loss: 0.5447 2022/08/10 01:17:36 - mmengine - INFO - Epoch(train) [92][1820/1879] lr: 2.0000e-04 eta: 2:37:08 time: 0.6116 data_time: 0.0218 memory: 13723 grad_norm: 4.9363 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5853 loss: 0.5853 2022/08/10 01:17:50 - mmengine - INFO - Epoch(train) [92][1840/1879] lr: 2.0000e-04 eta: 2:36:55 time: 0.6953 data_time: 0.0214 memory: 13723 grad_norm: 4.7760 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4843 loss: 0.4843 2022/08/10 01:18:04 - mmengine - INFO - Epoch(train) [92][1860/1879] lr: 2.0000e-04 eta: 2:36:43 time: 0.6974 data_time: 0.0380 memory: 13723 grad_norm: 4.8654 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6431 loss: 0.6431 2022/08/10 01:18:17 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 01:18:17 - mmengine - INFO - Epoch(train) [92][1879/1879] lr: 2.0000e-04 eta: 2:36:43 time: 0.6965 data_time: 0.0171 memory: 13723 grad_norm: 4.9960 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.6956 loss: 0.6956 2022/08/10 01:18:30 - mmengine - INFO - Epoch(val) [92][20/155] eta: 0:01:22 time: 0.6112 data_time: 0.4716 memory: 1829 2022/08/10 01:18:48 - mmengine - INFO - Epoch(val) [92][40/155] eta: 0:01:43 time: 0.9008 data_time: 0.7632 memory: 1829 2022/08/10 01:18:56 - mmengine - INFO - Epoch(val) [92][60/155] eta: 0:00:40 time: 0.4226 data_time: 0.2864 memory: 1829 2022/08/10 01:19:14 - mmengine - INFO - Epoch(val) [92][80/155] eta: 0:01:07 time: 0.8997 data_time: 0.7598 memory: 1829 2022/08/10 01:19:27 - mmengine - INFO - Epoch(val) [92][100/155] eta: 0:00:36 time: 0.6668 data_time: 0.5293 memory: 1829 2022/08/10 01:19:43 - mmengine - INFO - Epoch(val) [92][120/155] eta: 0:00:26 time: 0.7677 data_time: 0.6319 memory: 1829 2022/08/10 01:19:51 - mmengine - INFO - Epoch(val) [92][140/155] eta: 0:00:06 time: 0.4266 data_time: 0.2864 memory: 1829 2022/08/10 01:20:03 - mmengine - INFO - Epoch(val) [92][155/155] acc/top1: 0.7134 acc/top5: 0.8943 acc/mean1: 0.7133 2022/08/10 01:20:28 - mmengine - INFO - Epoch(train) [93][20/1879] lr: 2.0000e-04 eta: 2:36:19 time: 1.1912 data_time: 0.2198 memory: 13723 grad_norm: 5.0156 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5104 loss: 0.5104 2022/08/10 01:20:44 - mmengine - INFO - Epoch(train) [93][40/1879] lr: 2.0000e-04 eta: 2:36:06 time: 0.8233 data_time: 0.0187 memory: 13723 grad_norm: 4.9508 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5334 loss: 0.5334 2022/08/10 01:20:58 - mmengine - INFO - Epoch(train) [93][60/1879] lr: 2.0000e-04 eta: 2:35:54 time: 0.7075 data_time: 0.0208 memory: 13723 grad_norm: 4.6458 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5217 loss: 0.5217 2022/08/10 01:21:10 - mmengine - INFO - Epoch(train) [93][80/1879] lr: 2.0000e-04 eta: 2:35:42 time: 0.5765 data_time: 0.0221 memory: 13723 grad_norm: 4.7689 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5268 loss: 0.5268 2022/08/10 01:21:24 - mmengine - INFO - Epoch(train) [93][100/1879] lr: 2.0000e-04 eta: 2:35:29 time: 0.7250 data_time: 0.0237 memory: 13723 grad_norm: 4.8608 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5970 loss: 0.5970 2022/08/10 01:21:42 - mmengine - INFO - Epoch(train) [93][120/1879] lr: 2.0000e-04 eta: 2:35:17 time: 0.8951 data_time: 0.0196 memory: 13723 grad_norm: 4.7636 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5548 loss: 0.5548 2022/08/10 01:21:49 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 01:21:55 - mmengine - INFO - Epoch(train) [93][140/1879] lr: 2.0000e-04 eta: 2:35:05 time: 0.6274 data_time: 0.0233 memory: 13723 grad_norm: 4.8921 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.4791 loss: 0.4791 2022/08/10 01:22:10 - mmengine - INFO - Epoch(train) [93][160/1879] lr: 2.0000e-04 eta: 2:34:52 time: 0.7804 data_time: 0.0300 memory: 13723 grad_norm: 4.8228 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5514 loss: 0.5514 2022/08/10 01:22:23 - mmengine - INFO - Epoch(train) [93][180/1879] lr: 2.0000e-04 eta: 2:34:40 time: 0.6118 data_time: 0.0215 memory: 13723 grad_norm: 4.9210 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5147 loss: 0.5147 2022/08/10 01:22:38 - mmengine - INFO - Epoch(train) [93][200/1879] lr: 2.0000e-04 eta: 2:34:28 time: 0.7868 data_time: 0.0203 memory: 13723 grad_norm: 4.8918 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5604 loss: 0.5604 2022/08/10 01:22:54 - mmengine - INFO - Epoch(train) [93][220/1879] lr: 2.0000e-04 eta: 2:34:15 time: 0.7720 data_time: 0.0191 memory: 13723 grad_norm: 5.0135 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6128 loss: 0.6128 2022/08/10 01:23:08 - mmengine - INFO - Epoch(train) [93][240/1879] lr: 2.0000e-04 eta: 2:34:03 time: 0.6813 data_time: 0.0207 memory: 13723 grad_norm: 4.8647 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5940 loss: 0.5940 2022/08/10 01:23:20 - mmengine - INFO - Epoch(train) [93][260/1879] lr: 2.0000e-04 eta: 2:33:51 time: 0.6105 data_time: 0.0217 memory: 13723 grad_norm: 4.9305 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5328 loss: 0.5328 2022/08/10 01:23:35 - mmengine - INFO - Epoch(train) [93][280/1879] lr: 2.0000e-04 eta: 2:33:38 time: 0.7868 data_time: 0.0211 memory: 13723 grad_norm: 4.8961 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5534 loss: 0.5534 2022/08/10 01:23:51 - mmengine - INFO - Epoch(train) [93][300/1879] lr: 2.0000e-04 eta: 2:33:26 time: 0.7597 data_time: 0.0192 memory: 13723 grad_norm: 4.6583 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4562 loss: 0.4562 2022/08/10 01:24:06 - mmengine - INFO - Epoch(train) [93][320/1879] lr: 2.0000e-04 eta: 2:33:14 time: 0.7649 data_time: 0.0204 memory: 13723 grad_norm: 5.0209 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6516 loss: 0.6516 2022/08/10 01:24:19 - mmengine - INFO - Epoch(train) [93][340/1879] lr: 2.0000e-04 eta: 2:33:01 time: 0.6648 data_time: 0.0221 memory: 13723 grad_norm: 4.9469 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6820 loss: 0.6820 2022/08/10 01:24:35 - mmengine - INFO - Epoch(train) [93][360/1879] lr: 2.0000e-04 eta: 2:32:49 time: 0.7834 data_time: 0.0215 memory: 13723 grad_norm: 4.8378 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4966 loss: 0.4966 2022/08/10 01:24:51 - mmengine - INFO - Epoch(train) [93][380/1879] lr: 2.0000e-04 eta: 2:32:37 time: 0.7883 data_time: 0.0205 memory: 13723 grad_norm: 4.8654 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5816 loss: 0.5816 2022/08/10 01:25:06 - mmengine - INFO - Epoch(train) [93][400/1879] lr: 2.0000e-04 eta: 2:32:25 time: 0.7446 data_time: 0.0207 memory: 13723 grad_norm: 4.7725 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5217 loss: 0.5217 2022/08/10 01:25:18 - mmengine - INFO - Epoch(train) [93][420/1879] lr: 2.0000e-04 eta: 2:32:12 time: 0.6218 data_time: 0.0201 memory: 13723 grad_norm: 4.9719 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5594 loss: 0.5594 2022/08/10 01:25:31 - mmengine - INFO - Epoch(train) [93][440/1879] lr: 2.0000e-04 eta: 2:32:00 time: 0.6414 data_time: 0.0218 memory: 13723 grad_norm: 5.0222 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6526 loss: 0.6526 2022/08/10 01:25:44 - mmengine - INFO - Epoch(train) [93][460/1879] lr: 2.0000e-04 eta: 2:31:47 time: 0.6405 data_time: 0.0217 memory: 13723 grad_norm: 5.0059 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.5550 loss: 0.5550 2022/08/10 01:25:58 - mmengine - INFO - Epoch(train) [93][480/1879] lr: 2.0000e-04 eta: 2:31:35 time: 0.6824 data_time: 0.0186 memory: 13723 grad_norm: 4.8133 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5285 loss: 0.5285 2022/08/10 01:26:14 - mmengine - INFO - Epoch(train) [93][500/1879] lr: 2.0000e-04 eta: 2:31:23 time: 0.8283 data_time: 0.0233 memory: 13723 grad_norm: 4.8484 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5053 loss: 0.5053 2022/08/10 01:26:29 - mmengine - INFO - Epoch(train) [93][520/1879] lr: 2.0000e-04 eta: 2:31:10 time: 0.7635 data_time: 0.0187 memory: 13723 grad_norm: 5.0561 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6723 loss: 0.6723 2022/08/10 01:26:46 - mmengine - INFO - Epoch(train) [93][540/1879] lr: 2.0000e-04 eta: 2:30:58 time: 0.8137 data_time: 0.0217 memory: 13723 grad_norm: 4.8468 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5667 loss: 0.5667 2022/08/10 01:27:02 - mmengine - INFO - Epoch(train) [93][560/1879] lr: 2.0000e-04 eta: 2:30:46 time: 0.7861 data_time: 0.0179 memory: 13723 grad_norm: 4.9709 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5242 loss: 0.5242 2022/08/10 01:27:15 - mmengine - INFO - Epoch(train) [93][580/1879] lr: 2.0000e-04 eta: 2:30:34 time: 0.6840 data_time: 0.0331 memory: 13723 grad_norm: 4.9187 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5873 loss: 0.5873 2022/08/10 01:27:30 - mmengine - INFO - Epoch(train) [93][600/1879] lr: 2.0000e-04 eta: 2:30:21 time: 0.7474 data_time: 0.0192 memory: 13723 grad_norm: 5.0439 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5766 loss: 0.5766 2022/08/10 01:27:46 - mmengine - INFO - Epoch(train) [93][620/1879] lr: 2.0000e-04 eta: 2:30:09 time: 0.7856 data_time: 0.0196 memory: 13723 grad_norm: 4.9121 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.5908 loss: 0.5908 2022/08/10 01:27:58 - mmengine - INFO - Epoch(train) [93][640/1879] lr: 2.0000e-04 eta: 2:29:56 time: 0.5913 data_time: 0.0193 memory: 13723 grad_norm: 4.9163 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.5982 loss: 0.5982 2022/08/10 01:28:13 - mmengine - INFO - Epoch(train) [93][660/1879] lr: 2.0000e-04 eta: 2:29:44 time: 0.7574 data_time: 0.0208 memory: 13723 grad_norm: 4.9998 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5521 loss: 0.5521 2022/08/10 01:28:30 - mmengine - INFO - Epoch(train) [93][680/1879] lr: 2.0000e-04 eta: 2:29:32 time: 0.8601 data_time: 0.0195 memory: 13723 grad_norm: 4.9624 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5628 loss: 0.5628 2022/08/10 01:28:42 - mmengine - INFO - Epoch(train) [93][700/1879] lr: 2.0000e-04 eta: 2:29:19 time: 0.5868 data_time: 0.0225 memory: 13723 grad_norm: 4.9449 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5261 loss: 0.5261 2022/08/10 01:28:58 - mmengine - INFO - Epoch(train) [93][720/1879] lr: 2.0000e-04 eta: 2:29:07 time: 0.8132 data_time: 0.0211 memory: 13723 grad_norm: 4.9659 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6135 loss: 0.6135 2022/08/10 01:29:10 - mmengine - INFO - Epoch(train) [93][740/1879] lr: 2.0000e-04 eta: 2:28:55 time: 0.5762 data_time: 0.0222 memory: 13723 grad_norm: 4.9085 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6439 loss: 0.6439 2022/08/10 01:29:22 - mmengine - INFO - Epoch(train) [93][760/1879] lr: 2.0000e-04 eta: 2:28:42 time: 0.6320 data_time: 0.0242 memory: 13723 grad_norm: 4.9324 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6440 loss: 0.6440 2022/08/10 01:29:37 - mmengine - INFO - Epoch(train) [93][780/1879] lr: 2.0000e-04 eta: 2:28:30 time: 0.7142 data_time: 0.0239 memory: 13723 grad_norm: 4.8177 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5285 loss: 0.5285 2022/08/10 01:29:53 - mmengine - INFO - Epoch(train) [93][800/1879] lr: 2.0000e-04 eta: 2:28:18 time: 0.8177 data_time: 0.2581 memory: 13723 grad_norm: 4.9237 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5820 loss: 0.5820 2022/08/10 01:30:08 - mmengine - INFO - Epoch(train) [93][820/1879] lr: 2.0000e-04 eta: 2:28:05 time: 0.7469 data_time: 0.2058 memory: 13723 grad_norm: 5.0104 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5902 loss: 0.5902 2022/08/10 01:30:22 - mmengine - INFO - Epoch(train) [93][840/1879] lr: 2.0000e-04 eta: 2:27:53 time: 0.7168 data_time: 0.1578 memory: 13723 grad_norm: 5.0160 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6638 loss: 0.6638 2022/08/10 01:30:37 - mmengine - INFO - Epoch(train) [93][860/1879] lr: 2.0000e-04 eta: 2:27:41 time: 0.7507 data_time: 0.0209 memory: 13723 grad_norm: 4.9977 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5190 loss: 0.5190 2022/08/10 01:30:49 - mmengine - INFO - Epoch(train) [93][880/1879] lr: 2.0000e-04 eta: 2:27:28 time: 0.6069 data_time: 0.0217 memory: 13723 grad_norm: 4.9630 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.5974 loss: 0.5974 2022/08/10 01:31:03 - mmengine - INFO - Epoch(train) [93][900/1879] lr: 2.0000e-04 eta: 2:27:16 time: 0.6958 data_time: 0.0217 memory: 13723 grad_norm: 5.0100 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6207 loss: 0.6207 2022/08/10 01:31:18 - mmengine - INFO - Epoch(train) [93][920/1879] lr: 2.0000e-04 eta: 2:27:03 time: 0.7066 data_time: 0.0220 memory: 13723 grad_norm: 4.9092 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5720 loss: 0.5720 2022/08/10 01:31:30 - mmengine - INFO - Epoch(train) [93][940/1879] lr: 2.0000e-04 eta: 2:26:51 time: 0.6001 data_time: 0.0215 memory: 13723 grad_norm: 5.0653 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7154 loss: 0.7154 2022/08/10 01:31:44 - mmengine - INFO - Epoch(train) [93][960/1879] lr: 2.0000e-04 eta: 2:26:39 time: 0.7468 data_time: 0.0216 memory: 13723 grad_norm: 5.0713 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5441 loss: 0.5441 2022/08/10 01:31:57 - mmengine - INFO - Epoch(train) [93][980/1879] lr: 2.0000e-04 eta: 2:26:26 time: 0.6204 data_time: 0.0542 memory: 13723 grad_norm: 4.9648 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5899 loss: 0.5899 2022/08/10 01:32:10 - mmengine - INFO - Epoch(train) [93][1000/1879] lr: 2.0000e-04 eta: 2:26:14 time: 0.6297 data_time: 0.0404 memory: 13723 grad_norm: 4.9704 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5448 loss: 0.5448 2022/08/10 01:32:24 - mmengine - INFO - Epoch(train) [93][1020/1879] lr: 2.0000e-04 eta: 2:26:01 time: 0.7399 data_time: 0.1626 memory: 13723 grad_norm: 4.8076 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5822 loss: 0.5822 2022/08/10 01:32:37 - mmengine - INFO - Epoch(train) [93][1040/1879] lr: 2.0000e-04 eta: 2:25:49 time: 0.6270 data_time: 0.0462 memory: 13723 grad_norm: 4.9710 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5702 loss: 0.5702 2022/08/10 01:32:52 - mmengine - INFO - Epoch(train) [93][1060/1879] lr: 2.0000e-04 eta: 2:25:36 time: 0.7321 data_time: 0.0327 memory: 13723 grad_norm: 4.6895 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5495 loss: 0.5495 2022/08/10 01:33:04 - mmengine - INFO - Epoch(train) [93][1080/1879] lr: 2.0000e-04 eta: 2:25:24 time: 0.6293 data_time: 0.0807 memory: 13723 grad_norm: 4.9373 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5692 loss: 0.5692 2022/08/10 01:33:18 - mmengine - INFO - Epoch(train) [93][1100/1879] lr: 2.0000e-04 eta: 2:25:11 time: 0.6661 data_time: 0.1161 memory: 13723 grad_norm: 4.8387 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6280 loss: 0.6280 2022/08/10 01:33:32 - mmengine - INFO - Epoch(train) [93][1120/1879] lr: 2.0000e-04 eta: 2:24:59 time: 0.7442 data_time: 0.1997 memory: 13723 grad_norm: 4.8821 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5621 loss: 0.5621 2022/08/10 01:33:40 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 01:33:45 - mmengine - INFO - Epoch(train) [93][1140/1879] lr: 2.0000e-04 eta: 2:24:47 time: 0.6399 data_time: 0.0594 memory: 13723 grad_norm: 4.8935 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5300 loss: 0.5300 2022/08/10 01:34:00 - mmengine - INFO - Epoch(train) [93][1160/1879] lr: 2.0000e-04 eta: 2:24:34 time: 0.7136 data_time: 0.0192 memory: 13723 grad_norm: 4.9589 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4936 loss: 0.4936 2022/08/10 01:34:13 - mmengine - INFO - Epoch(train) [93][1180/1879] lr: 2.0000e-04 eta: 2:24:22 time: 0.6816 data_time: 0.0220 memory: 13723 grad_norm: 5.0553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6752 loss: 0.6752 2022/08/10 01:34:33 - mmengine - INFO - Epoch(train) [93][1200/1879] lr: 2.0000e-04 eta: 2:24:10 time: 0.9773 data_time: 0.0222 memory: 13723 grad_norm: 4.9214 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5795 loss: 0.5795 2022/08/10 01:34:47 - mmengine - INFO - Epoch(train) [93][1220/1879] lr: 2.0000e-04 eta: 2:23:58 time: 0.7241 data_time: 0.0215 memory: 13723 grad_norm: 4.8865 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5882 loss: 0.5882 2022/08/10 01:35:01 - mmengine - INFO - Epoch(train) [93][1240/1879] lr: 2.0000e-04 eta: 2:23:45 time: 0.7124 data_time: 0.0196 memory: 13723 grad_norm: 4.8281 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6300 loss: 0.6300 2022/08/10 01:35:19 - mmengine - INFO - Epoch(train) [93][1260/1879] lr: 2.0000e-04 eta: 2:23:33 time: 0.8983 data_time: 0.0310 memory: 13723 grad_norm: 4.9332 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7260 loss: 0.7260 2022/08/10 01:35:31 - mmengine - INFO - Epoch(train) [93][1280/1879] lr: 2.0000e-04 eta: 2:23:21 time: 0.5955 data_time: 0.0205 memory: 13723 grad_norm: 4.8496 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5911 loss: 0.5911 2022/08/10 01:35:46 - mmengine - INFO - Epoch(train) [93][1300/1879] lr: 2.0000e-04 eta: 2:23:08 time: 0.7306 data_time: 0.0221 memory: 13723 grad_norm: 4.8279 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6595 loss: 0.6595 2022/08/10 01:35:58 - mmengine - INFO - Epoch(train) [93][1320/1879] lr: 2.0000e-04 eta: 2:22:56 time: 0.6224 data_time: 0.0682 memory: 13723 grad_norm: 5.0308 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5247 loss: 0.5247 2022/08/10 01:36:15 - mmengine - INFO - Epoch(train) [93][1340/1879] lr: 2.0000e-04 eta: 2:22:44 time: 0.8470 data_time: 0.0194 memory: 13723 grad_norm: 4.9755 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6512 loss: 0.6512 2022/08/10 01:36:27 - mmengine - INFO - Epoch(train) [93][1360/1879] lr: 2.0000e-04 eta: 2:22:31 time: 0.5713 data_time: 0.0225 memory: 13723 grad_norm: 5.0298 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6252 loss: 0.6252 2022/08/10 01:36:40 - mmengine - INFO - Epoch(train) [93][1380/1879] lr: 2.0000e-04 eta: 2:22:18 time: 0.6741 data_time: 0.0218 memory: 13723 grad_norm: 4.8590 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6013 loss: 0.6013 2022/08/10 01:36:54 - mmengine - INFO - Epoch(train) [93][1400/1879] lr: 2.0000e-04 eta: 2:22:06 time: 0.6631 data_time: 0.0237 memory: 13723 grad_norm: 4.8212 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5205 loss: 0.5205 2022/08/10 01:37:10 - mmengine - INFO - Epoch(train) [93][1420/1879] lr: 2.0000e-04 eta: 2:21:54 time: 0.7913 data_time: 0.0185 memory: 13723 grad_norm: 4.7260 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6090 loss: 0.6090 2022/08/10 01:37:21 - mmengine - INFO - Epoch(train) [93][1440/1879] lr: 2.0000e-04 eta: 2:21:41 time: 0.5807 data_time: 0.0232 memory: 13723 grad_norm: 4.9405 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6154 loss: 0.6154 2022/08/10 01:37:35 - mmengine - INFO - Epoch(train) [93][1460/1879] lr: 2.0000e-04 eta: 2:21:29 time: 0.6830 data_time: 0.0259 memory: 13723 grad_norm: 4.9132 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5939 loss: 0.5939 2022/08/10 01:37:53 - mmengine - INFO - Epoch(train) [93][1480/1879] lr: 2.0000e-04 eta: 2:21:17 time: 0.9252 data_time: 0.0172 memory: 13723 grad_norm: 5.0760 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5475 loss: 0.5475 2022/08/10 01:38:12 - mmengine - INFO - Epoch(train) [93][1500/1879] lr: 2.0000e-04 eta: 2:21:05 time: 0.9233 data_time: 0.0475 memory: 13723 grad_norm: 5.0860 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6336 loss: 0.6336 2022/08/10 01:38:25 - mmengine - INFO - Epoch(train) [93][1520/1879] lr: 2.0000e-04 eta: 2:20:52 time: 0.6734 data_time: 0.0181 memory: 13723 grad_norm: 4.9711 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6018 loss: 0.6018 2022/08/10 01:38:42 - mmengine - INFO - Epoch(train) [93][1540/1879] lr: 2.0000e-04 eta: 2:20:40 time: 0.8111 data_time: 0.0217 memory: 13723 grad_norm: 4.8846 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4549 loss: 0.4549 2022/08/10 01:38:55 - mmengine - INFO - Epoch(train) [93][1560/1879] lr: 2.0000e-04 eta: 2:20:28 time: 0.6827 data_time: 0.0221 memory: 13723 grad_norm: 4.8224 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5566 loss: 0.5566 2022/08/10 01:39:12 - mmengine - INFO - Epoch(train) [93][1580/1879] lr: 2.0000e-04 eta: 2:20:15 time: 0.8207 data_time: 0.0190 memory: 13723 grad_norm: 4.8382 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4984 loss: 0.4984 2022/08/10 01:39:25 - mmengine - INFO - Epoch(train) [93][1600/1879] lr: 2.0000e-04 eta: 2:20:03 time: 0.6835 data_time: 0.0203 memory: 13723 grad_norm: 4.7531 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5177 loss: 0.5177 2022/08/10 01:39:42 - mmengine - INFO - Epoch(train) [93][1620/1879] lr: 2.0000e-04 eta: 2:19:51 time: 0.8074 data_time: 0.0970 memory: 13723 grad_norm: 4.9763 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5941 loss: 0.5941 2022/08/10 01:39:53 - mmengine - INFO - Epoch(train) [93][1640/1879] lr: 2.0000e-04 eta: 2:19:38 time: 0.5868 data_time: 0.0191 memory: 13723 grad_norm: 4.7540 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4810 loss: 0.4810 2022/08/10 01:40:08 - mmengine - INFO - Epoch(train) [93][1660/1879] lr: 2.0000e-04 eta: 2:19:26 time: 0.7348 data_time: 0.0217 memory: 13723 grad_norm: 4.9557 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5514 loss: 0.5514 2022/08/10 01:40:20 - mmengine - INFO - Epoch(train) [93][1680/1879] lr: 2.0000e-04 eta: 2:19:13 time: 0.6127 data_time: 0.0433 memory: 13723 grad_norm: 5.0039 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4817 loss: 0.4817 2022/08/10 01:40:35 - mmengine - INFO - Epoch(train) [93][1700/1879] lr: 2.0000e-04 eta: 2:19:01 time: 0.7198 data_time: 0.0427 memory: 13723 grad_norm: 4.8427 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5324 loss: 0.5324 2022/08/10 01:40:53 - mmengine - INFO - Epoch(train) [93][1720/1879] lr: 2.0000e-04 eta: 2:18:49 time: 0.8919 data_time: 0.0200 memory: 13723 grad_norm: 5.0029 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6087 loss: 0.6087 2022/08/10 01:41:08 - mmengine - INFO - Epoch(train) [93][1740/1879] lr: 2.0000e-04 eta: 2:18:37 time: 0.7559 data_time: 0.0435 memory: 13723 grad_norm: 4.9665 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6037 loss: 0.6037 2022/08/10 01:41:25 - mmengine - INFO - Epoch(train) [93][1760/1879] lr: 2.0000e-04 eta: 2:18:24 time: 0.8802 data_time: 0.0164 memory: 13723 grad_norm: 4.7583 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4812 loss: 0.4812 2022/08/10 01:41:39 - mmengine - INFO - Epoch(train) [93][1780/1879] lr: 2.0000e-04 eta: 2:18:12 time: 0.7091 data_time: 0.0223 memory: 13723 grad_norm: 4.9121 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6245 loss: 0.6245 2022/08/10 01:41:57 - mmengine - INFO - Epoch(train) [93][1800/1879] lr: 2.0000e-04 eta: 2:18:00 time: 0.8573 data_time: 0.0196 memory: 13723 grad_norm: 4.8009 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4594 loss: 0.4594 2022/08/10 01:42:10 - mmengine - INFO - Epoch(train) [93][1820/1879] lr: 2.0000e-04 eta: 2:17:47 time: 0.6537 data_time: 0.0224 memory: 13723 grad_norm: 4.8955 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5793 loss: 0.5793 2022/08/10 01:42:28 - mmengine - INFO - Epoch(train) [93][1840/1879] lr: 2.0000e-04 eta: 2:17:35 time: 0.9068 data_time: 0.0173 memory: 13723 grad_norm: 4.8965 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5756 loss: 0.5756 2022/08/10 01:42:44 - mmengine - INFO - Epoch(train) [93][1860/1879] lr: 2.0000e-04 eta: 2:17:23 time: 0.7969 data_time: 0.1921 memory: 13723 grad_norm: 4.6966 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5826 loss: 0.5826 2022/08/10 01:42:55 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 01:42:55 - mmengine - INFO - Epoch(train) [93][1879/1879] lr: 2.0000e-04 eta: 2:17:23 time: 0.5645 data_time: 0.0197 memory: 13723 grad_norm: 5.2254 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.5953 loss: 0.5953 2022/08/10 01:42:55 - mmengine - INFO - Saving checkpoint at 93 epochs 2022/08/10 01:43:09 - mmengine - INFO - Epoch(val) [93][20/155] eta: 0:01:20 time: 0.5993 data_time: 0.4599 memory: 1829 2022/08/10 01:43:20 - mmengine - INFO - Epoch(val) [93][40/155] eta: 0:01:03 time: 0.5550 data_time: 0.4179 memory: 1829 2022/08/10 01:43:30 - mmengine - INFO - Epoch(val) [93][60/155] eta: 0:00:48 time: 0.5084 data_time: 0.3710 memory: 1829 2022/08/10 01:43:47 - mmengine - INFO - Epoch(val) [93][80/155] eta: 0:01:05 time: 0.8728 data_time: 0.7353 memory: 1829 2022/08/10 01:43:55 - mmengine - INFO - Epoch(val) [93][100/155] eta: 0:00:21 time: 0.3903 data_time: 0.2495 memory: 1829 2022/08/10 01:44:06 - mmengine - INFO - Epoch(val) [93][120/155] eta: 0:00:18 time: 0.5188 data_time: 0.3838 memory: 1829 2022/08/10 01:44:13 - mmengine - INFO - Epoch(val) [93][140/155] eta: 0:00:05 time: 0.3535 data_time: 0.2173 memory: 1829 2022/08/10 01:44:39 - mmengine - INFO - Epoch(val) [93][155/155] acc/top1: 0.7135 acc/top5: 0.8952 acc/mean1: 0.7134 2022/08/10 01:45:00 - mmengine - INFO - Epoch(train) [94][20/1879] lr: 2.0000e-04 eta: 2:16:58 time: 1.0691 data_time: 0.2777 memory: 13723 grad_norm: 4.9070 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.5302 loss: 0.5302 2022/08/10 01:45:15 - mmengine - INFO - Epoch(train) [94][40/1879] lr: 2.0000e-04 eta: 2:16:46 time: 0.7684 data_time: 0.0198 memory: 13723 grad_norm: 4.7929 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6388 loss: 0.6388 2022/08/10 01:45:27 - mmengine - INFO - Epoch(train) [94][60/1879] lr: 2.0000e-04 eta: 2:16:34 time: 0.5975 data_time: 0.0248 memory: 13723 grad_norm: 5.0489 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4882 loss: 0.4882 2022/08/10 01:45:40 - mmengine - INFO - Epoch(train) [94][80/1879] lr: 2.0000e-04 eta: 2:16:21 time: 0.6372 data_time: 0.0193 memory: 13723 grad_norm: 4.9621 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6016 loss: 0.6016 2022/08/10 01:45:59 - mmengine - INFO - Epoch(train) [94][100/1879] lr: 2.0000e-04 eta: 2:16:09 time: 0.9223 data_time: 0.0193 memory: 13723 grad_norm: 4.7859 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5756 loss: 0.5756 2022/08/10 01:46:15 - mmengine - INFO - Epoch(train) [94][120/1879] lr: 2.0000e-04 eta: 2:15:57 time: 0.8045 data_time: 0.1071 memory: 13723 grad_norm: 4.9638 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6120 loss: 0.6120 2022/08/10 01:46:31 - mmengine - INFO - Epoch(train) [94][140/1879] lr: 2.0000e-04 eta: 2:15:44 time: 0.7955 data_time: 0.0214 memory: 13723 grad_norm: 5.0856 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5559 loss: 0.5559 2022/08/10 01:46:42 - mmengine - INFO - Epoch(train) [94][160/1879] lr: 2.0000e-04 eta: 2:15:32 time: 0.5822 data_time: 0.0216 memory: 13723 grad_norm: 4.7576 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5711 loss: 0.5711 2022/08/10 01:46:59 - mmengine - INFO - Epoch(train) [94][180/1879] lr: 2.0000e-04 eta: 2:15:20 time: 0.8302 data_time: 0.2681 memory: 13723 grad_norm: 4.9514 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6303 loss: 0.6303 2022/08/10 01:47:14 - mmengine - INFO - Epoch(train) [94][200/1879] lr: 2.0000e-04 eta: 2:15:07 time: 0.7563 data_time: 0.0794 memory: 13723 grad_norm: 4.8354 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5152 loss: 0.5152 2022/08/10 01:47:31 - mmengine - INFO - Epoch(train) [94][220/1879] lr: 2.0000e-04 eta: 2:14:55 time: 0.8376 data_time: 0.1570 memory: 13723 grad_norm: 4.9626 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4896 loss: 0.4896 2022/08/10 01:47:48 - mmengine - INFO - Epoch(train) [94][240/1879] lr: 2.0000e-04 eta: 2:14:43 time: 0.8342 data_time: 0.0153 memory: 13723 grad_norm: 5.0743 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5855 loss: 0.5855 2022/08/10 01:47:56 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 01:48:02 - mmengine - INFO - Epoch(train) [94][260/1879] lr: 2.0000e-04 eta: 2:14:30 time: 0.7122 data_time: 0.0233 memory: 13723 grad_norm: 4.8473 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5268 loss: 0.5268 2022/08/10 01:48:16 - mmengine - INFO - Epoch(train) [94][280/1879] lr: 2.0000e-04 eta: 2:14:18 time: 0.6855 data_time: 0.0198 memory: 13723 grad_norm: 4.8844 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5017 loss: 0.5017 2022/08/10 01:48:33 - mmengine - INFO - Epoch(train) [94][300/1879] lr: 2.0000e-04 eta: 2:14:06 time: 0.8789 data_time: 0.3041 memory: 13723 grad_norm: 4.9293 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6086 loss: 0.6086 2022/08/10 01:48:51 - mmengine - INFO - Epoch(train) [94][320/1879] lr: 2.0000e-04 eta: 2:13:54 time: 0.8840 data_time: 0.1374 memory: 13723 grad_norm: 4.9160 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4479 loss: 0.4479 2022/08/10 01:49:13 - mmengine - INFO - Epoch(train) [94][340/1879] lr: 2.0000e-04 eta: 2:13:42 time: 1.0872 data_time: 0.1537 memory: 13723 grad_norm: 4.6198 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5037 loss: 0.5037 2022/08/10 01:49:25 - mmengine - INFO - Epoch(train) [94][360/1879] lr: 2.0000e-04 eta: 2:13:29 time: 0.6219 data_time: 0.0720 memory: 13723 grad_norm: 4.9858 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5155 loss: 0.5155 2022/08/10 01:49:39 - mmengine - INFO - Epoch(train) [94][380/1879] lr: 2.0000e-04 eta: 2:13:17 time: 0.6916 data_time: 0.0866 memory: 13723 grad_norm: 4.7741 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6369 loss: 0.6369 2022/08/10 01:49:53 - mmengine - INFO - Epoch(train) [94][400/1879] lr: 2.0000e-04 eta: 2:13:05 time: 0.6962 data_time: 0.0203 memory: 13723 grad_norm: 4.9884 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5122 loss: 0.5122 2022/08/10 01:50:09 - mmengine - INFO - Epoch(train) [94][420/1879] lr: 2.0000e-04 eta: 2:12:52 time: 0.8139 data_time: 0.0219 memory: 13723 grad_norm: 4.8488 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5004 loss: 0.5004 2022/08/10 01:50:26 - mmengine - INFO - Epoch(train) [94][440/1879] lr: 2.0000e-04 eta: 2:12:40 time: 0.8652 data_time: 0.2193 memory: 13723 grad_norm: 4.8584 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6580 loss: 0.6580 2022/08/10 01:50:41 - mmengine - INFO - Epoch(train) [94][460/1879] lr: 2.0000e-04 eta: 2:12:28 time: 0.7280 data_time: 0.0193 memory: 13723 grad_norm: 4.9735 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6816 loss: 0.6816 2022/08/10 01:50:57 - mmengine - INFO - Epoch(train) [94][480/1879] lr: 2.0000e-04 eta: 2:12:15 time: 0.8086 data_time: 0.1892 memory: 13723 grad_norm: 4.8530 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5248 loss: 0.5248 2022/08/10 01:51:13 - mmengine - INFO - Epoch(train) [94][500/1879] lr: 2.0000e-04 eta: 2:12:03 time: 0.8060 data_time: 0.0232 memory: 13723 grad_norm: 4.9801 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4428 loss: 0.4428 2022/08/10 01:51:26 - mmengine - INFO - Epoch(train) [94][520/1879] lr: 2.0000e-04 eta: 2:11:51 time: 0.6126 data_time: 0.0429 memory: 13723 grad_norm: 4.9306 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6281 loss: 0.6281 2022/08/10 01:51:45 - mmengine - INFO - Epoch(train) [94][540/1879] lr: 2.0000e-04 eta: 2:11:39 time: 0.9581 data_time: 0.0921 memory: 13723 grad_norm: 5.0192 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5429 loss: 0.5429 2022/08/10 01:51:56 - mmengine - INFO - Epoch(train) [94][560/1879] lr: 2.0000e-04 eta: 2:11:26 time: 0.5685 data_time: 0.0201 memory: 13723 grad_norm: 4.9040 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6350 loss: 0.6350 2022/08/10 01:52:14 - mmengine - INFO - Epoch(train) [94][580/1879] lr: 2.0000e-04 eta: 2:11:14 time: 0.8909 data_time: 0.0225 memory: 13723 grad_norm: 4.8124 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5457 loss: 0.5457 2022/08/10 01:52:29 - mmengine - INFO - Epoch(train) [94][600/1879] lr: 2.0000e-04 eta: 2:11:02 time: 0.7706 data_time: 0.0213 memory: 13723 grad_norm: 4.8710 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.5467 loss: 0.5467 2022/08/10 01:52:47 - mmengine - INFO - Epoch(train) [94][620/1879] lr: 2.0000e-04 eta: 2:10:49 time: 0.8708 data_time: 0.1836 memory: 13723 grad_norm: 4.9991 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5669 loss: 0.5669 2022/08/10 01:53:02 - mmengine - INFO - Epoch(train) [94][640/1879] lr: 2.0000e-04 eta: 2:10:37 time: 0.7695 data_time: 0.0410 memory: 13723 grad_norm: 4.8561 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5426 loss: 0.5426 2022/08/10 01:53:14 - mmengine - INFO - Epoch(train) [94][660/1879] lr: 2.0000e-04 eta: 2:10:24 time: 0.5691 data_time: 0.0204 memory: 13723 grad_norm: 5.0690 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5912 loss: 0.5912 2022/08/10 01:53:28 - mmengine - INFO - Epoch(train) [94][680/1879] lr: 2.0000e-04 eta: 2:10:12 time: 0.7319 data_time: 0.0208 memory: 13723 grad_norm: 4.7667 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5477 loss: 0.5477 2022/08/10 01:53:42 - mmengine - INFO - Epoch(train) [94][700/1879] lr: 2.0000e-04 eta: 2:10:00 time: 0.6885 data_time: 0.0214 memory: 13723 grad_norm: 4.9368 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5207 loss: 0.5207 2022/08/10 01:54:00 - mmengine - INFO - Epoch(train) [94][720/1879] lr: 2.0000e-04 eta: 2:09:47 time: 0.9025 data_time: 0.0225 memory: 13723 grad_norm: 4.8503 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5831 loss: 0.5831 2022/08/10 01:54:13 - mmengine - INFO - Epoch(train) [94][740/1879] lr: 2.0000e-04 eta: 2:09:35 time: 0.6353 data_time: 0.0286 memory: 13723 grad_norm: 4.8675 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5378 loss: 0.5378 2022/08/10 01:54:26 - mmengine - INFO - Epoch(train) [94][760/1879] lr: 2.0000e-04 eta: 2:09:23 time: 0.6700 data_time: 0.0260 memory: 13723 grad_norm: 5.0059 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5181 loss: 0.5181 2022/08/10 01:54:47 - mmengine - INFO - Epoch(train) [94][780/1879] lr: 2.0000e-04 eta: 2:09:11 time: 1.0379 data_time: 0.0173 memory: 13723 grad_norm: 4.9184 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5500 loss: 0.5500 2022/08/10 01:55:00 - mmengine - INFO - Epoch(train) [94][800/1879] lr: 2.0000e-04 eta: 2:08:58 time: 0.6445 data_time: 0.0182 memory: 13723 grad_norm: 4.8749 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6395 loss: 0.6395 2022/08/10 01:55:22 - mmengine - INFO - Epoch(train) [94][820/1879] lr: 2.0000e-04 eta: 2:08:46 time: 1.0829 data_time: 0.0200 memory: 13723 grad_norm: 5.1148 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5325 loss: 0.5325 2022/08/10 01:55:34 - mmengine - INFO - Epoch(train) [94][840/1879] lr: 2.0000e-04 eta: 2:08:34 time: 0.6077 data_time: 0.0209 memory: 13723 grad_norm: 4.9528 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5127 loss: 0.5127 2022/08/10 01:55:46 - mmengine - INFO - Epoch(train) [94][860/1879] lr: 2.0000e-04 eta: 2:08:21 time: 0.6018 data_time: 0.0473 memory: 13723 grad_norm: 4.8122 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5067 loss: 0.5067 2022/08/10 01:56:06 - mmengine - INFO - Epoch(train) [94][880/1879] lr: 2.0000e-04 eta: 2:08:09 time: 0.9907 data_time: 0.0201 memory: 13723 grad_norm: 4.9608 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5763 loss: 0.5763 2022/08/10 01:56:18 - mmengine - INFO - Epoch(train) [94][900/1879] lr: 2.0000e-04 eta: 2:07:56 time: 0.5991 data_time: 0.0276 memory: 13723 grad_norm: 4.6858 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.5561 loss: 0.5561 2022/08/10 01:56:32 - mmengine - INFO - Epoch(train) [94][920/1879] lr: 2.0000e-04 eta: 2:07:44 time: 0.7186 data_time: 0.0187 memory: 13723 grad_norm: 4.9785 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6182 loss: 0.6182 2022/08/10 01:56:52 - mmengine - INFO - Epoch(train) [94][940/1879] lr: 2.0000e-04 eta: 2:07:32 time: 0.9738 data_time: 0.0373 memory: 13723 grad_norm: 4.8920 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5948 loss: 0.5948 2022/08/10 01:57:05 - mmengine - INFO - Epoch(train) [94][960/1879] lr: 2.0000e-04 eta: 2:07:20 time: 0.6477 data_time: 0.0187 memory: 13723 grad_norm: 4.8073 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5764 loss: 0.5764 2022/08/10 01:57:18 - mmengine - INFO - Epoch(train) [94][980/1879] lr: 2.0000e-04 eta: 2:07:07 time: 0.6889 data_time: 0.0698 memory: 13723 grad_norm: 4.9364 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5590 loss: 0.5590 2022/08/10 01:57:32 - mmengine - INFO - Epoch(train) [94][1000/1879] lr: 2.0000e-04 eta: 2:06:55 time: 0.6579 data_time: 0.1049 memory: 13723 grad_norm: 5.0310 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5838 loss: 0.5838 2022/08/10 01:57:46 - mmengine - INFO - Epoch(train) [94][1020/1879] lr: 2.0000e-04 eta: 2:06:42 time: 0.7215 data_time: 0.0481 memory: 13723 grad_norm: 5.0194 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6197 loss: 0.6197 2022/08/10 01:58:03 - mmengine - INFO - Epoch(train) [94][1040/1879] lr: 2.0000e-04 eta: 2:06:30 time: 0.8333 data_time: 0.0168 memory: 13723 grad_norm: 4.8946 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4860 loss: 0.4860 2022/08/10 01:58:19 - mmengine - INFO - Epoch(train) [94][1060/1879] lr: 2.0000e-04 eta: 2:06:18 time: 0.8176 data_time: 0.0244 memory: 13723 grad_norm: 4.9455 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5393 loss: 0.5393 2022/08/10 01:58:35 - mmengine - INFO - Epoch(train) [94][1080/1879] lr: 2.0000e-04 eta: 2:06:05 time: 0.7807 data_time: 0.0185 memory: 13723 grad_norm: 5.1252 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6716 loss: 0.6716 2022/08/10 01:58:47 - mmengine - INFO - Epoch(train) [94][1100/1879] lr: 2.0000e-04 eta: 2:05:53 time: 0.6211 data_time: 0.0225 memory: 13723 grad_norm: 5.0132 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5556 loss: 0.5556 2022/08/10 01:59:03 - mmengine - INFO - Epoch(train) [94][1120/1879] lr: 2.0000e-04 eta: 2:05:40 time: 0.7901 data_time: 0.0214 memory: 13723 grad_norm: 4.9062 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4840 loss: 0.4840 2022/08/10 01:59:18 - mmengine - INFO - Epoch(train) [94][1140/1879] lr: 2.0000e-04 eta: 2:05:28 time: 0.7441 data_time: 0.0184 memory: 13723 grad_norm: 4.9203 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6539 loss: 0.6539 2022/08/10 01:59:31 - mmengine - INFO - Epoch(train) [94][1160/1879] lr: 2.0000e-04 eta: 2:05:16 time: 0.6622 data_time: 0.0235 memory: 13723 grad_norm: 4.7710 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5851 loss: 0.5851 2022/08/10 01:59:46 - mmengine - INFO - Epoch(train) [94][1180/1879] lr: 2.0000e-04 eta: 2:05:03 time: 0.7195 data_time: 0.0202 memory: 13723 grad_norm: 4.8960 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5695 loss: 0.5695 2022/08/10 01:59:57 - mmengine - INFO - Epoch(train) [94][1200/1879] lr: 2.0000e-04 eta: 2:04:51 time: 0.5809 data_time: 0.0223 memory: 13723 grad_norm: 4.8509 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4697 loss: 0.4697 2022/08/10 02:00:17 - mmengine - INFO - Epoch(train) [94][1220/1879] lr: 2.0000e-04 eta: 2:04:39 time: 1.0138 data_time: 0.0819 memory: 13723 grad_norm: 4.6877 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5447 loss: 0.5447 2022/08/10 02:00:33 - mmengine - INFO - Epoch(train) [94][1240/1879] lr: 2.0000e-04 eta: 2:04:26 time: 0.7648 data_time: 0.1648 memory: 13723 grad_norm: 5.0682 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5433 loss: 0.5433 2022/08/10 02:00:40 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 02:00:47 - mmengine - INFO - Epoch(train) [94][1260/1879] lr: 2.0000e-04 eta: 2:04:14 time: 0.7083 data_time: 0.1596 memory: 13723 grad_norm: 5.0446 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5216 loss: 0.5216 2022/08/10 02:01:00 - mmengine - INFO - Epoch(train) [94][1280/1879] lr: 2.0000e-04 eta: 2:04:01 time: 0.6453 data_time: 0.0940 memory: 13723 grad_norm: 5.1146 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6555 loss: 0.6555 2022/08/10 02:01:13 - mmengine - INFO - Epoch(train) [94][1300/1879] lr: 2.0000e-04 eta: 2:03:49 time: 0.6741 data_time: 0.1271 memory: 13723 grad_norm: 4.8707 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5458 loss: 0.5458 2022/08/10 02:01:32 - mmengine - INFO - Epoch(train) [94][1320/1879] lr: 2.0000e-04 eta: 2:03:37 time: 0.9086 data_time: 0.3631 memory: 13723 grad_norm: 4.8764 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.6389 loss: 0.6389 2022/08/10 02:01:43 - mmengine - INFO - Epoch(train) [94][1340/1879] lr: 2.0000e-04 eta: 2:03:24 time: 0.5668 data_time: 0.0206 memory: 13723 grad_norm: 4.9031 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5233 loss: 0.5233 2022/08/10 02:01:58 - mmengine - INFO - Epoch(train) [94][1360/1879] lr: 2.0000e-04 eta: 2:03:12 time: 0.7626 data_time: 0.0558 memory: 13723 grad_norm: 4.9567 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5346 loss: 0.5346 2022/08/10 02:02:18 - mmengine - INFO - Epoch(train) [94][1380/1879] lr: 2.0000e-04 eta: 2:03:00 time: 0.9633 data_time: 0.1350 memory: 13723 grad_norm: 5.0905 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6393 loss: 0.6393 2022/08/10 02:02:31 - mmengine - INFO - Epoch(train) [94][1400/1879] lr: 2.0000e-04 eta: 2:02:47 time: 0.6825 data_time: 0.0189 memory: 13723 grad_norm: 4.7690 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5050 loss: 0.5050 2022/08/10 02:02:47 - mmengine - INFO - Epoch(train) [94][1420/1879] lr: 2.0000e-04 eta: 2:02:35 time: 0.7966 data_time: 0.0188 memory: 13723 grad_norm: 4.8391 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5343 loss: 0.5343 2022/08/10 02:02:59 - mmengine - INFO - Epoch(train) [94][1440/1879] lr: 2.0000e-04 eta: 2:02:22 time: 0.5768 data_time: 0.0219 memory: 13723 grad_norm: 5.1505 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6035 loss: 0.6035 2022/08/10 02:03:17 - mmengine - INFO - Epoch(train) [94][1460/1879] lr: 2.0000e-04 eta: 2:02:10 time: 0.9088 data_time: 0.0202 memory: 13723 grad_norm: 4.8709 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5296 loss: 0.5296 2022/08/10 02:03:31 - mmengine - INFO - Epoch(train) [94][1480/1879] lr: 2.0000e-04 eta: 2:01:58 time: 0.6866 data_time: 0.0236 memory: 13723 grad_norm: 4.8256 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5198 loss: 0.5198 2022/08/10 02:03:47 - mmengine - INFO - Epoch(train) [94][1500/1879] lr: 2.0000e-04 eta: 2:01:45 time: 0.7953 data_time: 0.0936 memory: 13723 grad_norm: 4.9380 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6192 loss: 0.6192 2022/08/10 02:03:58 - mmengine - INFO - Epoch(train) [94][1520/1879] lr: 2.0000e-04 eta: 2:01:33 time: 0.5946 data_time: 0.0225 memory: 13723 grad_norm: 4.9624 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5697 loss: 0.5697 2022/08/10 02:04:14 - mmengine - INFO - Epoch(train) [94][1540/1879] lr: 2.0000e-04 eta: 2:01:20 time: 0.7562 data_time: 0.0214 memory: 13723 grad_norm: 5.0419 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5488 loss: 0.5488 2022/08/10 02:04:27 - mmengine - INFO - Epoch(train) [94][1560/1879] lr: 2.0000e-04 eta: 2:01:08 time: 0.6610 data_time: 0.0239 memory: 13723 grad_norm: 4.8953 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6955 loss: 0.6955 2022/08/10 02:04:46 - mmengine - INFO - Epoch(train) [94][1580/1879] lr: 2.0000e-04 eta: 2:00:56 time: 0.9767 data_time: 0.0179 memory: 13723 grad_norm: 4.9180 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5662 loss: 0.5662 2022/08/10 02:05:01 - mmengine - INFO - Epoch(train) [94][1600/1879] lr: 2.0000e-04 eta: 2:00:43 time: 0.7445 data_time: 0.0171 memory: 13723 grad_norm: 4.6150 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6165 loss: 0.6165 2022/08/10 02:05:14 - mmengine - INFO - Epoch(train) [94][1620/1879] lr: 2.0000e-04 eta: 2:00:31 time: 0.6464 data_time: 0.0274 memory: 13723 grad_norm: 4.8801 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6018 loss: 0.6018 2022/08/10 02:05:29 - mmengine - INFO - Epoch(train) [94][1640/1879] lr: 2.0000e-04 eta: 2:00:18 time: 0.7399 data_time: 0.0223 memory: 13723 grad_norm: 5.0494 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6643 loss: 0.6643 2022/08/10 02:05:42 - mmengine - INFO - Epoch(train) [94][1660/1879] lr: 2.0000e-04 eta: 2:00:06 time: 0.6355 data_time: 0.0181 memory: 13723 grad_norm: 4.9141 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5404 loss: 0.5404 2022/08/10 02:05:57 - mmengine - INFO - Epoch(train) [94][1680/1879] lr: 2.0000e-04 eta: 1:59:54 time: 0.7573 data_time: 0.0220 memory: 13723 grad_norm: 4.8488 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6020 loss: 0.6020 2022/08/10 02:06:10 - mmengine - INFO - Epoch(train) [94][1700/1879] lr: 2.0000e-04 eta: 1:59:41 time: 0.6599 data_time: 0.1060 memory: 13723 grad_norm: 4.9771 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5890 loss: 0.5890 2022/08/10 02:06:23 - mmengine - INFO - Epoch(train) [94][1720/1879] lr: 2.0000e-04 eta: 1:59:29 time: 0.6624 data_time: 0.1179 memory: 13723 grad_norm: 4.9302 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.5037 loss: 0.5037 2022/08/10 02:06:37 - mmengine - INFO - Epoch(train) [94][1740/1879] lr: 2.0000e-04 eta: 1:59:16 time: 0.7000 data_time: 0.1404 memory: 13723 grad_norm: 4.8528 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6236 loss: 0.6236 2022/08/10 02:06:50 - mmengine - INFO - Epoch(train) [94][1760/1879] lr: 2.0000e-04 eta: 1:59:04 time: 0.6200 data_time: 0.0674 memory: 13723 grad_norm: 4.8295 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5615 loss: 0.5615 2022/08/10 02:07:03 - mmengine - INFO - Epoch(train) [94][1780/1879] lr: 2.0000e-04 eta: 1:58:51 time: 0.6652 data_time: 0.1194 memory: 13723 grad_norm: 4.8826 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5562 loss: 0.5562 2022/08/10 02:07:15 - mmengine - INFO - Epoch(train) [94][1800/1879] lr: 2.0000e-04 eta: 1:58:39 time: 0.6080 data_time: 0.0561 memory: 13723 grad_norm: 4.9123 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5824 loss: 0.5824 2022/08/10 02:07:28 - mmengine - INFO - Epoch(train) [94][1820/1879] lr: 2.0000e-04 eta: 1:58:26 time: 0.6325 data_time: 0.0203 memory: 13723 grad_norm: 5.1123 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5823 loss: 0.5823 2022/08/10 02:07:41 - mmengine - INFO - Epoch(train) [94][1840/1879] lr: 2.0000e-04 eta: 1:58:14 time: 0.6592 data_time: 0.0213 memory: 13723 grad_norm: 4.8199 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5934 loss: 0.5934 2022/08/10 02:07:54 - mmengine - INFO - Epoch(train) [94][1860/1879] lr: 2.0000e-04 eta: 1:58:01 time: 0.6316 data_time: 0.0238 memory: 13723 grad_norm: 5.1108 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6508 loss: 0.6508 2022/08/10 02:08:08 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 02:08:08 - mmengine - INFO - Epoch(train) [94][1879/1879] lr: 2.0000e-04 eta: 1:58:01 time: 0.7600 data_time: 0.0188 memory: 13723 grad_norm: 5.0909 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.4859 loss: 0.4859 2022/08/10 02:08:21 - mmengine - INFO - Epoch(val) [94][20/155] eta: 0:01:30 time: 0.6722 data_time: 0.5315 memory: 1829 2022/08/10 02:08:30 - mmengine - INFO - Epoch(val) [94][40/155] eta: 0:00:49 time: 0.4326 data_time: 0.2930 memory: 1829 2022/08/10 02:08:41 - mmengine - INFO - Epoch(val) [94][60/155] eta: 0:00:53 time: 0.5589 data_time: 0.4180 memory: 1829 2022/08/10 02:08:50 - mmengine - INFO - Epoch(val) [94][80/155] eta: 0:00:33 time: 0.4506 data_time: 0.3123 memory: 1829 2022/08/10 02:09:01 - mmengine - INFO - Epoch(val) [94][100/155] eta: 0:00:30 time: 0.5566 data_time: 0.4183 memory: 1829 2022/08/10 02:09:09 - mmengine - INFO - Epoch(val) [94][120/155] eta: 0:00:13 time: 0.3872 data_time: 0.2506 memory: 1829 2022/08/10 02:09:20 - mmengine - INFO - Epoch(val) [94][140/155] eta: 0:00:08 time: 0.5433 data_time: 0.4046 memory: 1829 2022/08/10 02:09:45 - mmengine - INFO - Epoch(val) [94][155/155] acc/top1: 0.7145 acc/top5: 0.8946 acc/mean1: 0.7144 2022/08/10 02:10:05 - mmengine - INFO - Epoch(train) [95][20/1879] lr: 2.0000e-04 eta: 1:57:36 time: 1.0047 data_time: 0.3707 memory: 13723 grad_norm: 4.8406 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4189 loss: 0.4189 2022/08/10 02:10:18 - mmengine - INFO - Epoch(train) [95][40/1879] lr: 2.0000e-04 eta: 1:57:24 time: 0.6261 data_time: 0.0733 memory: 13723 grad_norm: 4.9868 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6164 loss: 0.6164 2022/08/10 02:10:30 - mmengine - INFO - Epoch(train) [95][60/1879] lr: 2.0000e-04 eta: 1:57:11 time: 0.6308 data_time: 0.0231 memory: 13723 grad_norm: 5.0387 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6283 loss: 0.6283 2022/08/10 02:10:44 - mmengine - INFO - Epoch(train) [95][80/1879] lr: 2.0000e-04 eta: 1:56:59 time: 0.7047 data_time: 0.1030 memory: 13723 grad_norm: 5.0298 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6233 loss: 0.6233 2022/08/10 02:10:58 - mmengine - INFO - Epoch(train) [95][100/1879] lr: 2.0000e-04 eta: 1:56:46 time: 0.6911 data_time: 0.1370 memory: 13723 grad_norm: 5.0530 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5946 loss: 0.5946 2022/08/10 02:11:11 - mmengine - INFO - Epoch(train) [95][120/1879] lr: 2.0000e-04 eta: 1:56:34 time: 0.6418 data_time: 0.0210 memory: 13723 grad_norm: 5.1502 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5724 loss: 0.5724 2022/08/10 02:11:23 - mmengine - INFO - Epoch(train) [95][140/1879] lr: 2.0000e-04 eta: 1:56:21 time: 0.5793 data_time: 0.0259 memory: 13723 grad_norm: 4.8512 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4326 loss: 0.4326 2022/08/10 02:11:34 - mmengine - INFO - Epoch(train) [95][160/1879] lr: 2.0000e-04 eta: 1:56:09 time: 0.5776 data_time: 0.0235 memory: 13723 grad_norm: 5.0065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6103 loss: 0.6103 2022/08/10 02:11:47 - mmengine - INFO - Epoch(train) [95][180/1879] lr: 2.0000e-04 eta: 1:55:56 time: 0.6268 data_time: 0.0504 memory: 13723 grad_norm: 4.8677 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5481 loss: 0.5481 2022/08/10 02:11:59 - mmengine - INFO - Epoch(train) [95][200/1879] lr: 2.0000e-04 eta: 1:55:43 time: 0.6094 data_time: 0.0208 memory: 13723 grad_norm: 4.9972 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6741 loss: 0.6741 2022/08/10 02:12:12 - mmengine - INFO - Epoch(train) [95][220/1879] lr: 2.0000e-04 eta: 1:55:31 time: 0.6499 data_time: 0.0341 memory: 13723 grad_norm: 4.7934 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5177 loss: 0.5177 2022/08/10 02:12:25 - mmengine - INFO - Epoch(train) [95][240/1879] lr: 2.0000e-04 eta: 1:55:18 time: 0.6401 data_time: 0.0222 memory: 13723 grad_norm: 4.8710 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5292 loss: 0.5292 2022/08/10 02:12:36 - mmengine - INFO - Epoch(train) [95][260/1879] lr: 2.0000e-04 eta: 1:55:06 time: 0.5721 data_time: 0.0196 memory: 13723 grad_norm: 5.1734 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6503 loss: 0.6503 2022/08/10 02:12:49 - mmengine - INFO - Epoch(train) [95][280/1879] lr: 2.0000e-04 eta: 1:54:53 time: 0.6285 data_time: 0.0300 memory: 13723 grad_norm: 4.8227 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5653 loss: 0.5653 2022/08/10 02:13:02 - mmengine - INFO - Epoch(train) [95][300/1879] lr: 2.0000e-04 eta: 1:54:41 time: 0.6362 data_time: 0.0632 memory: 13723 grad_norm: 4.9986 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6017 loss: 0.6017 2022/08/10 02:13:18 - mmengine - INFO - Epoch(train) [95][320/1879] lr: 2.0000e-04 eta: 1:54:28 time: 0.8214 data_time: 0.2241 memory: 13723 grad_norm: 4.9669 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5679 loss: 0.5679 2022/08/10 02:13:31 - mmengine - INFO - Epoch(train) [95][340/1879] lr: 2.0000e-04 eta: 1:54:16 time: 0.6419 data_time: 0.0876 memory: 13723 grad_norm: 4.8944 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6229 loss: 0.6229 2022/08/10 02:13:45 - mmengine - INFO - Epoch(train) [95][360/1879] lr: 2.0000e-04 eta: 1:54:03 time: 0.6849 data_time: 0.1292 memory: 13723 grad_norm: 5.0188 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5568 loss: 0.5568 2022/08/10 02:13:54 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 02:13:58 - mmengine - INFO - Epoch(train) [95][380/1879] lr: 2.0000e-04 eta: 1:53:51 time: 0.6525 data_time: 0.1023 memory: 13723 grad_norm: 4.9619 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6244 loss: 0.6244 2022/08/10 02:14:11 - mmengine - INFO - Epoch(train) [95][400/1879] lr: 2.0000e-04 eta: 1:53:38 time: 0.6559 data_time: 0.0806 memory: 13723 grad_norm: 4.9440 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5544 loss: 0.5544 2022/08/10 02:14:24 - mmengine - INFO - Epoch(train) [95][420/1879] lr: 2.0000e-04 eta: 1:53:26 time: 0.6394 data_time: 0.0218 memory: 13723 grad_norm: 4.9112 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5294 loss: 0.5294 2022/08/10 02:14:39 - mmengine - INFO - Epoch(train) [95][440/1879] lr: 2.0000e-04 eta: 1:53:13 time: 0.7590 data_time: 0.0205 memory: 13723 grad_norm: 4.7603 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5008 loss: 0.5008 2022/08/10 02:14:50 - mmengine - INFO - Epoch(train) [95][460/1879] lr: 2.0000e-04 eta: 1:53:01 time: 0.5697 data_time: 0.0225 memory: 13723 grad_norm: 4.8592 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5980 loss: 0.5980 2022/08/10 02:15:03 - mmengine - INFO - Epoch(train) [95][480/1879] lr: 2.0000e-04 eta: 1:52:48 time: 0.6540 data_time: 0.0216 memory: 13723 grad_norm: 4.7570 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5848 loss: 0.5848 2022/08/10 02:15:18 - mmengine - INFO - Epoch(train) [95][500/1879] lr: 2.0000e-04 eta: 1:52:36 time: 0.7503 data_time: 0.0215 memory: 13723 grad_norm: 4.8816 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6121 loss: 0.6121 2022/08/10 02:15:30 - mmengine - INFO - Epoch(train) [95][520/1879] lr: 2.0000e-04 eta: 1:52:23 time: 0.5787 data_time: 0.0244 memory: 13723 grad_norm: 4.8631 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6796 loss: 0.6796 2022/08/10 02:15:43 - mmengine - INFO - Epoch(train) [95][540/1879] lr: 2.0000e-04 eta: 1:52:11 time: 0.6730 data_time: 0.0219 memory: 13723 grad_norm: 5.0510 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6220 loss: 0.6220 2022/08/10 02:15:56 - mmengine - INFO - Epoch(train) [95][560/1879] lr: 2.0000e-04 eta: 1:51:58 time: 0.6212 data_time: 0.0232 memory: 13723 grad_norm: 5.0124 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5892 loss: 0.5892 2022/08/10 02:16:09 - mmengine - INFO - Epoch(train) [95][580/1879] lr: 2.0000e-04 eta: 1:51:46 time: 0.6384 data_time: 0.0206 memory: 13723 grad_norm: 4.9765 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6818 loss: 0.6818 2022/08/10 02:16:20 - mmengine - INFO - Epoch(train) [95][600/1879] lr: 2.0000e-04 eta: 1:51:33 time: 0.5802 data_time: 0.0242 memory: 13723 grad_norm: 4.9706 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5886 loss: 0.5886 2022/08/10 02:16:32 - mmengine - INFO - Epoch(train) [95][620/1879] lr: 2.0000e-04 eta: 1:51:21 time: 0.5743 data_time: 0.0258 memory: 13723 grad_norm: 5.0330 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4989 loss: 0.4989 2022/08/10 02:16:44 - mmengine - INFO - Epoch(train) [95][640/1879] lr: 2.0000e-04 eta: 1:51:08 time: 0.6002 data_time: 0.0213 memory: 13723 grad_norm: 5.0561 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5222 loss: 0.5222 2022/08/10 02:16:56 - mmengine - INFO - Epoch(train) [95][660/1879] lr: 2.0000e-04 eta: 1:50:55 time: 0.6057 data_time: 0.0251 memory: 13723 grad_norm: 4.8111 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4617 loss: 0.4617 2022/08/10 02:17:11 - mmengine - INFO - Epoch(train) [95][680/1879] lr: 2.0000e-04 eta: 1:50:43 time: 0.7669 data_time: 0.0193 memory: 13723 grad_norm: 4.8022 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5569 loss: 0.5569 2022/08/10 02:17:23 - mmengine - INFO - Epoch(train) [95][700/1879] lr: 2.0000e-04 eta: 1:50:31 time: 0.5940 data_time: 0.0221 memory: 13723 grad_norm: 5.0080 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4783 loss: 0.4783 2022/08/10 02:17:37 - mmengine - INFO - Epoch(train) [95][720/1879] lr: 2.0000e-04 eta: 1:50:18 time: 0.6710 data_time: 0.0237 memory: 13723 grad_norm: 4.7085 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5864 loss: 0.5864 2022/08/10 02:17:50 - mmengine - INFO - Epoch(train) [95][740/1879] lr: 2.0000e-04 eta: 1:50:06 time: 0.6578 data_time: 0.0220 memory: 13723 grad_norm: 4.8997 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5047 loss: 0.5047 2022/08/10 02:18:02 - mmengine - INFO - Epoch(train) [95][760/1879] lr: 2.0000e-04 eta: 1:49:53 time: 0.6105 data_time: 0.0323 memory: 13723 grad_norm: 5.1167 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5718 loss: 0.5718 2022/08/10 02:18:16 - mmengine - INFO - Epoch(train) [95][780/1879] lr: 2.0000e-04 eta: 1:49:40 time: 0.6747 data_time: 0.0257 memory: 13723 grad_norm: 4.7751 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5792 loss: 0.5792 2022/08/10 02:18:28 - mmengine - INFO - Epoch(train) [95][800/1879] lr: 2.0000e-04 eta: 1:49:28 time: 0.6155 data_time: 0.0207 memory: 13723 grad_norm: 4.8513 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5041 loss: 0.5041 2022/08/10 02:18:40 - mmengine - INFO - Epoch(train) [95][820/1879] lr: 2.0000e-04 eta: 1:49:15 time: 0.6164 data_time: 0.0213 memory: 13723 grad_norm: 4.7797 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5594 loss: 0.5594 2022/08/10 02:18:53 - mmengine - INFO - Epoch(train) [95][840/1879] lr: 2.0000e-04 eta: 1:49:03 time: 0.6274 data_time: 0.0225 memory: 13723 grad_norm: 4.8301 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5034 loss: 0.5034 2022/08/10 02:19:04 - mmengine - INFO - Epoch(train) [95][860/1879] lr: 2.0000e-04 eta: 1:48:50 time: 0.5843 data_time: 0.0236 memory: 13723 grad_norm: 4.8430 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5655 loss: 0.5655 2022/08/10 02:19:20 - mmengine - INFO - Epoch(train) [95][880/1879] lr: 2.0000e-04 eta: 1:48:38 time: 0.7872 data_time: 0.0234 memory: 13723 grad_norm: 4.9005 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6037 loss: 0.6037 2022/08/10 02:19:32 - mmengine - INFO - Epoch(train) [95][900/1879] lr: 2.0000e-04 eta: 1:48:25 time: 0.5632 data_time: 0.0220 memory: 13723 grad_norm: 4.8153 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6174 loss: 0.6174 2022/08/10 02:19:44 - mmengine - INFO - Epoch(train) [95][920/1879] lr: 2.0000e-04 eta: 1:48:13 time: 0.6264 data_time: 0.0260 memory: 13723 grad_norm: 4.8698 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6353 loss: 0.6353 2022/08/10 02:19:56 - mmengine - INFO - Epoch(train) [95][940/1879] lr: 2.0000e-04 eta: 1:48:00 time: 0.5825 data_time: 0.0220 memory: 13723 grad_norm: 4.9221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6830 loss: 0.6830 2022/08/10 02:20:09 - mmengine - INFO - Epoch(train) [95][960/1879] lr: 2.0000e-04 eta: 1:47:48 time: 0.6772 data_time: 0.0215 memory: 13723 grad_norm: 5.0035 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5369 loss: 0.5369 2022/08/10 02:20:23 - mmengine - INFO - Epoch(train) [95][980/1879] lr: 2.0000e-04 eta: 1:47:35 time: 0.6727 data_time: 0.0253 memory: 13723 grad_norm: 4.8497 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7323 loss: 0.7323 2022/08/10 02:20:36 - mmengine - INFO - Epoch(train) [95][1000/1879] lr: 2.0000e-04 eta: 1:47:23 time: 0.6520 data_time: 0.0204 memory: 13723 grad_norm: 4.8976 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5650 loss: 0.5650 2022/08/10 02:20:48 - mmengine - INFO - Epoch(train) [95][1020/1879] lr: 2.0000e-04 eta: 1:47:10 time: 0.5858 data_time: 0.0238 memory: 13723 grad_norm: 4.9654 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6808 loss: 0.6808 2022/08/10 02:21:00 - mmengine - INFO - Epoch(train) [95][1040/1879] lr: 2.0000e-04 eta: 1:46:58 time: 0.6389 data_time: 0.0210 memory: 13723 grad_norm: 5.0540 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6223 loss: 0.6223 2022/08/10 02:21:15 - mmengine - INFO - Epoch(train) [95][1060/1879] lr: 2.0000e-04 eta: 1:46:45 time: 0.7104 data_time: 0.0226 memory: 13723 grad_norm: 4.9250 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5756 loss: 0.5756 2022/08/10 02:21:27 - mmengine - INFO - Epoch(train) [95][1080/1879] lr: 2.0000e-04 eta: 1:46:33 time: 0.6137 data_time: 0.0190 memory: 13723 grad_norm: 4.8570 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6229 loss: 0.6229 2022/08/10 02:21:39 - mmengine - INFO - Epoch(train) [95][1100/1879] lr: 2.0000e-04 eta: 1:46:20 time: 0.5961 data_time: 0.0240 memory: 13723 grad_norm: 5.1403 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6306 loss: 0.6306 2022/08/10 02:21:51 - mmengine - INFO - Epoch(train) [95][1120/1879] lr: 2.0000e-04 eta: 1:46:07 time: 0.6278 data_time: 0.0221 memory: 13723 grad_norm: 4.9863 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6758 loss: 0.6758 2022/08/10 02:22:04 - mmengine - INFO - Epoch(train) [95][1140/1879] lr: 2.0000e-04 eta: 1:45:55 time: 0.6053 data_time: 0.0206 memory: 13723 grad_norm: 4.9362 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5946 loss: 0.5946 2022/08/10 02:22:16 - mmengine - INFO - Epoch(train) [95][1160/1879] lr: 2.0000e-04 eta: 1:45:42 time: 0.6455 data_time: 0.0228 memory: 13723 grad_norm: 5.1012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5291 loss: 0.5291 2022/08/10 02:22:28 - mmengine - INFO - Epoch(train) [95][1180/1879] lr: 2.0000e-04 eta: 1:45:30 time: 0.5777 data_time: 0.0262 memory: 13723 grad_norm: 5.0231 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6015 loss: 0.6015 2022/08/10 02:22:40 - mmengine - INFO - Epoch(train) [95][1200/1879] lr: 2.0000e-04 eta: 1:45:17 time: 0.5845 data_time: 0.0225 memory: 13723 grad_norm: 5.0926 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5704 loss: 0.5704 2022/08/10 02:22:53 - mmengine - INFO - Epoch(train) [95][1220/1879] lr: 2.0000e-04 eta: 1:45:05 time: 0.6460 data_time: 0.0234 memory: 13723 grad_norm: 5.1472 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5826 loss: 0.5826 2022/08/10 02:23:05 - mmengine - INFO - Epoch(train) [95][1240/1879] lr: 2.0000e-04 eta: 1:44:52 time: 0.6386 data_time: 0.0208 memory: 13723 grad_norm: 4.8455 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5955 loss: 0.5955 2022/08/10 02:23:17 - mmengine - INFO - Epoch(train) [95][1260/1879] lr: 2.0000e-04 eta: 1:44:39 time: 0.5775 data_time: 0.0233 memory: 13723 grad_norm: 4.9904 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6564 loss: 0.6564 2022/08/10 02:23:32 - mmengine - INFO - Epoch(train) [95][1280/1879] lr: 2.0000e-04 eta: 1:44:27 time: 0.7558 data_time: 0.0214 memory: 13723 grad_norm: 4.9716 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5753 loss: 0.5753 2022/08/10 02:23:48 - mmengine - INFO - Epoch(train) [95][1300/1879] lr: 2.0000e-04 eta: 1:44:15 time: 0.8017 data_time: 0.0309 memory: 13723 grad_norm: 4.9932 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5490 loss: 0.5490 2022/08/10 02:24:02 - mmengine - INFO - Epoch(train) [95][1320/1879] lr: 2.0000e-04 eta: 1:44:02 time: 0.7065 data_time: 0.0234 memory: 13723 grad_norm: 5.0793 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6070 loss: 0.6070 2022/08/10 02:24:14 - mmengine - INFO - Epoch(train) [95][1340/1879] lr: 2.0000e-04 eta: 1:43:50 time: 0.5745 data_time: 0.0212 memory: 13723 grad_norm: 5.0722 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7191 loss: 0.7191 2022/08/10 02:24:29 - mmengine - INFO - Epoch(train) [95][1360/1879] lr: 2.0000e-04 eta: 1:43:37 time: 0.7499 data_time: 0.0215 memory: 13723 grad_norm: 4.8338 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5256 loss: 0.5256 2022/08/10 02:24:38 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 02:24:41 - mmengine - INFO - Epoch(train) [95][1380/1879] lr: 2.0000e-04 eta: 1:43:25 time: 0.6204 data_time: 0.0251 memory: 13723 grad_norm: 5.0626 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5840 loss: 0.5840 2022/08/10 02:24:53 - mmengine - INFO - Epoch(train) [95][1400/1879] lr: 2.0000e-04 eta: 1:43:12 time: 0.5759 data_time: 0.0226 memory: 13723 grad_norm: 4.9796 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5726 loss: 0.5726 2022/08/10 02:25:05 - mmengine - INFO - Epoch(train) [95][1420/1879] lr: 2.0000e-04 eta: 1:43:00 time: 0.6239 data_time: 0.0504 memory: 13723 grad_norm: 4.9003 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5368 loss: 0.5368 2022/08/10 02:25:21 - mmengine - INFO - Epoch(train) [95][1440/1879] lr: 2.0000e-04 eta: 1:42:47 time: 0.8064 data_time: 0.1563 memory: 13723 grad_norm: 4.9864 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6034 loss: 0.6034 2022/08/10 02:25:33 - mmengine - INFO - Epoch(train) [95][1460/1879] lr: 2.0000e-04 eta: 1:42:35 time: 0.5903 data_time: 0.0212 memory: 13723 grad_norm: 4.8122 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5030 loss: 0.5030 2022/08/10 02:25:45 - mmengine - INFO - Epoch(train) [95][1480/1879] lr: 2.0000e-04 eta: 1:42:22 time: 0.5868 data_time: 0.0233 memory: 13723 grad_norm: 4.8825 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5029 loss: 0.5029 2022/08/10 02:25:57 - mmengine - INFO - Epoch(train) [95][1500/1879] lr: 2.0000e-04 eta: 1:42:09 time: 0.6090 data_time: 0.0261 memory: 13723 grad_norm: 4.7678 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5018 loss: 0.5018 2022/08/10 02:26:09 - mmengine - INFO - Epoch(train) [95][1520/1879] lr: 2.0000e-04 eta: 1:41:57 time: 0.5818 data_time: 0.0234 memory: 13723 grad_norm: 5.0309 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6030 loss: 0.6030 2022/08/10 02:26:23 - mmengine - INFO - Epoch(train) [95][1540/1879] lr: 2.0000e-04 eta: 1:41:44 time: 0.7268 data_time: 0.0196 memory: 13723 grad_norm: 4.9285 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5664 loss: 0.5664 2022/08/10 02:26:38 - mmengine - INFO - Epoch(train) [95][1560/1879] lr: 2.0000e-04 eta: 1:41:32 time: 0.7267 data_time: 0.0227 memory: 13723 grad_norm: 4.8577 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6434 loss: 0.6434 2022/08/10 02:26:51 - mmengine - INFO - Epoch(train) [95][1580/1879] lr: 2.0000e-04 eta: 1:41:19 time: 0.6566 data_time: 0.0214 memory: 13723 grad_norm: 4.8717 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5030 loss: 0.5030 2022/08/10 02:27:04 - mmengine - INFO - Epoch(train) [95][1600/1879] lr: 2.0000e-04 eta: 1:41:07 time: 0.6444 data_time: 0.0246 memory: 13723 grad_norm: 4.9093 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5335 loss: 0.5335 2022/08/10 02:27:18 - mmengine - INFO - Epoch(train) [95][1620/1879] lr: 2.0000e-04 eta: 1:40:55 time: 0.7172 data_time: 0.0195 memory: 13723 grad_norm: 4.9997 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5788 loss: 0.5788 2022/08/10 02:27:32 - mmengine - INFO - Epoch(train) [95][1640/1879] lr: 2.0000e-04 eta: 1:40:42 time: 0.6901 data_time: 0.0202 memory: 13723 grad_norm: 4.8698 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6420 loss: 0.6420 2022/08/10 02:27:47 - mmengine - INFO - Epoch(train) [95][1660/1879] lr: 2.0000e-04 eta: 1:40:30 time: 0.7300 data_time: 0.0197 memory: 13723 grad_norm: 5.1270 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6433 loss: 0.6433 2022/08/10 02:28:01 - mmengine - INFO - Epoch(train) [95][1680/1879] lr: 2.0000e-04 eta: 1:40:17 time: 0.7156 data_time: 0.0214 memory: 13723 grad_norm: 4.9782 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5905 loss: 0.5905 2022/08/10 02:28:13 - mmengine - INFO - Epoch(train) [95][1700/1879] lr: 2.0000e-04 eta: 1:40:05 time: 0.5829 data_time: 0.0216 memory: 13723 grad_norm: 5.0858 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4889 loss: 0.4889 2022/08/10 02:28:26 - mmengine - INFO - Epoch(train) [95][1720/1879] lr: 2.0000e-04 eta: 1:39:52 time: 0.6606 data_time: 0.0206 memory: 13723 grad_norm: 4.9387 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5978 loss: 0.5978 2022/08/10 02:28:40 - mmengine - INFO - Epoch(train) [95][1740/1879] lr: 2.0000e-04 eta: 1:39:40 time: 0.6764 data_time: 0.0219 memory: 13723 grad_norm: 5.1116 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6357 loss: 0.6357 2022/08/10 02:28:53 - mmengine - INFO - Epoch(train) [95][1760/1879] lr: 2.0000e-04 eta: 1:39:27 time: 0.6620 data_time: 0.0197 memory: 13723 grad_norm: 4.9286 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6639 loss: 0.6639 2022/08/10 02:29:09 - mmengine - INFO - Epoch(train) [95][1780/1879] lr: 2.0000e-04 eta: 1:39:15 time: 0.7767 data_time: 0.0199 memory: 13723 grad_norm: 5.0777 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5574 loss: 0.5574 2022/08/10 02:29:23 - mmengine - INFO - Epoch(train) [95][1800/1879] lr: 2.0000e-04 eta: 1:39:02 time: 0.7070 data_time: 0.0204 memory: 13723 grad_norm: 5.0540 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5479 loss: 0.5479 2022/08/10 02:29:35 - mmengine - INFO - Epoch(train) [95][1820/1879] lr: 2.0000e-04 eta: 1:38:50 time: 0.6174 data_time: 0.0205 memory: 13723 grad_norm: 5.0249 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5211 loss: 0.5211 2022/08/10 02:29:47 - mmengine - INFO - Epoch(train) [95][1840/1879] lr: 2.0000e-04 eta: 1:38:37 time: 0.6142 data_time: 0.0240 memory: 13723 grad_norm: 4.7214 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6256 loss: 0.6256 2022/08/10 02:30:03 - mmengine - INFO - Epoch(train) [95][1860/1879] lr: 2.0000e-04 eta: 1:38:25 time: 0.7966 data_time: 0.0210 memory: 13723 grad_norm: 4.7945 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5609 loss: 0.5609 2022/08/10 02:30:18 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 02:30:18 - mmengine - INFO - Epoch(train) [95][1879/1879] lr: 2.0000e-04 eta: 1:38:25 time: 0.7904 data_time: 0.0158 memory: 13723 grad_norm: 5.1646 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.5948 loss: 0.5948 2022/08/10 02:30:35 - mmengine - INFO - Epoch(val) [95][20/155] eta: 0:01:51 time: 0.8257 data_time: 0.6875 memory: 1829 2022/08/10 02:30:51 - mmengine - INFO - Epoch(val) [95][40/155] eta: 0:01:31 time: 0.7977 data_time: 0.6530 memory: 1829 2022/08/10 02:31:01 - mmengine - INFO - Epoch(val) [95][60/155] eta: 0:00:46 time: 0.4945 data_time: 0.3582 memory: 1829 2022/08/10 02:31:17 - mmengine - INFO - Epoch(val) [95][80/155] eta: 0:01:00 time: 0.8104 data_time: 0.6734 memory: 1829 2022/08/10 02:31:27 - mmengine - INFO - Epoch(val) [95][100/155] eta: 0:00:25 time: 0.4695 data_time: 0.3320 memory: 1829 2022/08/10 02:31:41 - mmengine - INFO - Epoch(val) [95][120/155] eta: 0:00:25 time: 0.7424 data_time: 0.6076 memory: 1829 2022/08/10 02:31:50 - mmengine - INFO - Epoch(val) [95][140/155] eta: 0:00:06 time: 0.4106 data_time: 0.2762 memory: 1829 2022/08/10 02:32:05 - mmengine - INFO - Epoch(val) [95][155/155] acc/top1: 0.7139 acc/top5: 0.8938 acc/mean1: 0.7138 2022/08/10 02:32:28 - mmengine - INFO - Epoch(train) [96][20/1879] lr: 2.0000e-04 eta: 1:38:00 time: 1.1528 data_time: 0.2135 memory: 13723 grad_norm: 4.7653 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4577 loss: 0.4577 2022/08/10 02:32:42 - mmengine - INFO - Epoch(train) [96][40/1879] lr: 2.0000e-04 eta: 1:37:48 time: 0.7018 data_time: 0.0238 memory: 13723 grad_norm: 4.9088 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5056 loss: 0.5056 2022/08/10 02:32:56 - mmengine - INFO - Epoch(train) [96][60/1879] lr: 2.0000e-04 eta: 1:37:35 time: 0.6782 data_time: 0.0908 memory: 13723 grad_norm: 4.8306 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5285 loss: 0.5285 2022/08/10 02:33:09 - mmengine - INFO - Epoch(train) [96][80/1879] lr: 2.0000e-04 eta: 1:37:23 time: 0.6656 data_time: 0.0201 memory: 13723 grad_norm: 4.9909 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5412 loss: 0.5412 2022/08/10 02:33:22 - mmengine - INFO - Epoch(train) [96][100/1879] lr: 2.0000e-04 eta: 1:37:10 time: 0.6341 data_time: 0.0218 memory: 13723 grad_norm: 4.9515 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5541 loss: 0.5541 2022/08/10 02:33:37 - mmengine - INFO - Epoch(train) [96][120/1879] lr: 2.0000e-04 eta: 1:36:58 time: 0.7673 data_time: 0.0207 memory: 13723 grad_norm: 4.8449 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4266 loss: 0.4266 2022/08/10 02:33:49 - mmengine - INFO - Epoch(train) [96][140/1879] lr: 2.0000e-04 eta: 1:36:45 time: 0.5843 data_time: 0.0218 memory: 13723 grad_norm: 4.9581 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5704 loss: 0.5704 2022/08/10 02:34:06 - mmengine - INFO - Epoch(train) [96][160/1879] lr: 2.0000e-04 eta: 1:36:33 time: 0.8593 data_time: 0.0190 memory: 13723 grad_norm: 4.7815 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5042 loss: 0.5042 2022/08/10 02:34:22 - mmengine - INFO - Epoch(train) [96][180/1879] lr: 2.0000e-04 eta: 1:36:20 time: 0.7687 data_time: 0.0203 memory: 13723 grad_norm: 5.0232 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5639 loss: 0.5639 2022/08/10 02:34:33 - mmengine - INFO - Epoch(train) [96][200/1879] lr: 2.0000e-04 eta: 1:36:08 time: 0.5880 data_time: 0.0210 memory: 13723 grad_norm: 4.7940 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5722 loss: 0.5722 2022/08/10 02:34:53 - mmengine - INFO - Epoch(train) [96][220/1879] lr: 2.0000e-04 eta: 1:35:56 time: 0.9569 data_time: 0.0217 memory: 13723 grad_norm: 4.7807 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6376 loss: 0.6376 2022/08/10 02:35:05 - mmengine - INFO - Epoch(train) [96][240/1879] lr: 2.0000e-04 eta: 1:35:43 time: 0.6138 data_time: 0.0206 memory: 13723 grad_norm: 4.7862 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6313 loss: 0.6313 2022/08/10 02:35:20 - mmengine - INFO - Epoch(train) [96][260/1879] lr: 2.0000e-04 eta: 1:35:31 time: 0.7427 data_time: 0.0217 memory: 13723 grad_norm: 4.7917 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5724 loss: 0.5724 2022/08/10 02:35:35 - mmengine - INFO - Epoch(train) [96][280/1879] lr: 2.0000e-04 eta: 1:35:18 time: 0.7493 data_time: 0.0235 memory: 13723 grad_norm: 4.9923 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5565 loss: 0.5565 2022/08/10 02:35:50 - mmengine - INFO - Epoch(train) [96][300/1879] lr: 2.0000e-04 eta: 1:35:06 time: 0.7869 data_time: 0.0192 memory: 13723 grad_norm: 4.9551 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6217 loss: 0.6217 2022/08/10 02:36:03 - mmengine - INFO - Epoch(train) [96][320/1879] lr: 2.0000e-04 eta: 1:34:53 time: 0.6290 data_time: 0.0226 memory: 13723 grad_norm: 4.7916 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5116 loss: 0.5116 2022/08/10 02:36:18 - mmengine - INFO - Epoch(train) [96][340/1879] lr: 2.0000e-04 eta: 1:34:41 time: 0.7433 data_time: 0.0205 memory: 13723 grad_norm: 4.9729 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5291 loss: 0.5291 2022/08/10 02:36:29 - mmengine - INFO - Epoch(train) [96][360/1879] lr: 2.0000e-04 eta: 1:34:28 time: 0.5765 data_time: 0.0259 memory: 13723 grad_norm: 5.0098 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5717 loss: 0.5717 2022/08/10 02:36:44 - mmengine - INFO - Epoch(train) [96][380/1879] lr: 2.0000e-04 eta: 1:34:16 time: 0.7119 data_time: 0.0203 memory: 13723 grad_norm: 4.8081 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5478 loss: 0.5478 2022/08/10 02:36:57 - mmengine - INFO - Epoch(train) [96][400/1879] lr: 2.0000e-04 eta: 1:34:03 time: 0.6811 data_time: 0.0215 memory: 13723 grad_norm: 4.7896 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5807 loss: 0.5807 2022/08/10 02:37:12 - mmengine - INFO - Epoch(train) [96][420/1879] lr: 2.0000e-04 eta: 1:33:51 time: 0.7075 data_time: 0.0241 memory: 13723 grad_norm: 5.0145 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5822 loss: 0.5822 2022/08/10 02:37:23 - mmengine - INFO - Epoch(train) [96][440/1879] lr: 2.0000e-04 eta: 1:33:38 time: 0.5679 data_time: 0.0199 memory: 13723 grad_norm: 4.8821 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5922 loss: 0.5922 2022/08/10 02:37:37 - mmengine - INFO - Epoch(train) [96][460/1879] lr: 2.0000e-04 eta: 1:33:26 time: 0.7199 data_time: 0.0234 memory: 13723 grad_norm: 4.8259 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4707 loss: 0.4707 2022/08/10 02:37:52 - mmengine - INFO - Epoch(train) [96][480/1879] lr: 2.0000e-04 eta: 1:33:13 time: 0.7073 data_time: 0.0231 memory: 13723 grad_norm: 4.6549 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5721 loss: 0.5721 2022/08/10 02:38:01 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 02:38:04 - mmengine - INFO - Epoch(train) [96][500/1879] lr: 2.0000e-04 eta: 1:33:01 time: 0.6202 data_time: 0.0186 memory: 13723 grad_norm: 5.1209 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5648 loss: 0.5648 2022/08/10 02:38:17 - mmengine - INFO - Epoch(train) [96][520/1879] lr: 2.0000e-04 eta: 1:32:48 time: 0.6209 data_time: 0.0208 memory: 13723 grad_norm: 5.0375 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5144 loss: 0.5144 2022/08/10 02:38:31 - mmengine - INFO - Epoch(train) [96][540/1879] lr: 2.0000e-04 eta: 1:32:36 time: 0.7420 data_time: 0.0352 memory: 13723 grad_norm: 4.8079 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5597 loss: 0.5597 2022/08/10 02:38:46 - mmengine - INFO - Epoch(train) [96][560/1879] lr: 2.0000e-04 eta: 1:32:23 time: 0.7309 data_time: 0.0186 memory: 13723 grad_norm: 4.8385 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4793 loss: 0.4793 2022/08/10 02:39:00 - mmengine - INFO - Epoch(train) [96][580/1879] lr: 2.0000e-04 eta: 1:32:11 time: 0.7114 data_time: 0.0214 memory: 13723 grad_norm: 5.2050 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5715 loss: 0.5715 2022/08/10 02:39:15 - mmengine - INFO - Epoch(train) [96][600/1879] lr: 2.0000e-04 eta: 1:31:58 time: 0.7186 data_time: 0.1413 memory: 13723 grad_norm: 4.8200 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6479 loss: 0.6479 2022/08/10 02:39:28 - mmengine - INFO - Epoch(train) [96][620/1879] lr: 2.0000e-04 eta: 1:31:46 time: 0.6509 data_time: 0.0153 memory: 13723 grad_norm: 4.7497 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5829 loss: 0.5829 2022/08/10 02:39:46 - mmengine - INFO - Epoch(train) [96][640/1879] lr: 2.0000e-04 eta: 1:31:34 time: 0.9071 data_time: 0.0201 memory: 13723 grad_norm: 5.0006 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5690 loss: 0.5690 2022/08/10 02:39:57 - mmengine - INFO - Epoch(train) [96][660/1879] lr: 2.0000e-04 eta: 1:31:21 time: 0.5812 data_time: 0.0225 memory: 13723 grad_norm: 4.8051 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6249 loss: 0.6249 2022/08/10 02:40:14 - mmengine - INFO - Epoch(train) [96][680/1879] lr: 2.0000e-04 eta: 1:31:09 time: 0.8315 data_time: 0.0204 memory: 13723 grad_norm: 4.9418 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4887 loss: 0.4887 2022/08/10 02:40:30 - mmengine - INFO - Epoch(train) [96][700/1879] lr: 2.0000e-04 eta: 1:30:56 time: 0.7888 data_time: 0.0176 memory: 13723 grad_norm: 4.8085 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6023 loss: 0.6023 2022/08/10 02:40:44 - mmengine - INFO - Epoch(train) [96][720/1879] lr: 2.0000e-04 eta: 1:30:44 time: 0.6871 data_time: 0.0211 memory: 13723 grad_norm: 4.8987 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5776 loss: 0.5776 2022/08/10 02:40:57 - mmengine - INFO - Epoch(train) [96][740/1879] lr: 2.0000e-04 eta: 1:30:31 time: 0.6821 data_time: 0.0201 memory: 13723 grad_norm: 5.1104 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5299 loss: 0.5299 2022/08/10 02:41:15 - mmengine - INFO - Epoch(train) [96][760/1879] lr: 2.0000e-04 eta: 1:30:19 time: 0.8917 data_time: 0.0187 memory: 13723 grad_norm: 4.8905 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5527 loss: 0.5527 2022/08/10 02:41:27 - mmengine - INFO - Epoch(train) [96][780/1879] lr: 2.0000e-04 eta: 1:30:06 time: 0.5766 data_time: 0.0243 memory: 13723 grad_norm: 4.9422 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6483 loss: 0.6483 2022/08/10 02:41:44 - mmengine - INFO - Epoch(train) [96][800/1879] lr: 2.0000e-04 eta: 1:29:54 time: 0.8642 data_time: 0.0199 memory: 13723 grad_norm: 4.8174 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6124 loss: 0.6124 2022/08/10 02:42:01 - mmengine - INFO - Epoch(train) [96][820/1879] lr: 2.0000e-04 eta: 1:29:42 time: 0.8635 data_time: 0.0304 memory: 13723 grad_norm: 5.0000 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6735 loss: 0.6735 2022/08/10 02:42:16 - mmengine - INFO - Epoch(train) [96][840/1879] lr: 2.0000e-04 eta: 1:29:29 time: 0.7395 data_time: 0.0201 memory: 13723 grad_norm: 4.8469 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5590 loss: 0.5590 2022/08/10 02:42:34 - mmengine - INFO - Epoch(train) [96][860/1879] lr: 2.0000e-04 eta: 1:29:17 time: 0.8765 data_time: 0.0184 memory: 13723 grad_norm: 4.9038 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5596 loss: 0.5596 2022/08/10 02:42:51 - mmengine - INFO - Epoch(train) [96][880/1879] lr: 2.0000e-04 eta: 1:29:05 time: 0.8568 data_time: 0.0191 memory: 13723 grad_norm: 4.7635 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5399 loss: 0.5399 2022/08/10 02:43:11 - mmengine - INFO - Epoch(train) [96][900/1879] lr: 2.0000e-04 eta: 1:28:52 time: 1.0002 data_time: 0.0207 memory: 13723 grad_norm: 5.0057 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5514 loss: 0.5514 2022/08/10 02:43:25 - mmengine - INFO - Epoch(train) [96][920/1879] lr: 2.0000e-04 eta: 1:28:40 time: 0.7101 data_time: 0.0179 memory: 13723 grad_norm: 4.8201 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5710 loss: 0.5710 2022/08/10 02:43:43 - mmengine - INFO - Epoch(train) [96][940/1879] lr: 2.0000e-04 eta: 1:28:28 time: 0.8929 data_time: 0.0195 memory: 13723 grad_norm: 4.7343 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4900 loss: 0.4900 2022/08/10 02:44:03 - mmengine - INFO - Epoch(train) [96][960/1879] lr: 2.0000e-04 eta: 1:28:15 time: 1.0088 data_time: 0.0249 memory: 13723 grad_norm: 5.0848 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5320 loss: 0.5320 2022/08/10 02:44:20 - mmengine - INFO - Epoch(train) [96][980/1879] lr: 2.0000e-04 eta: 1:28:03 time: 0.8431 data_time: 0.0179 memory: 13723 grad_norm: 4.7408 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5999 loss: 0.5999 2022/08/10 02:44:34 - mmengine - INFO - Epoch(train) [96][1000/1879] lr: 2.0000e-04 eta: 1:27:51 time: 0.7201 data_time: 0.0180 memory: 13723 grad_norm: 4.9758 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5122 loss: 0.5122 2022/08/10 02:44:51 - mmengine - INFO - Epoch(train) [96][1020/1879] lr: 2.0000e-04 eta: 1:27:38 time: 0.8544 data_time: 0.0221 memory: 13723 grad_norm: 4.9132 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4513 loss: 0.4513 2022/08/10 02:45:05 - mmengine - INFO - Epoch(train) [96][1040/1879] lr: 2.0000e-04 eta: 1:27:26 time: 0.6902 data_time: 0.0201 memory: 13723 grad_norm: 4.7676 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.5000 loss: 0.5000 2022/08/10 02:45:27 - mmengine - INFO - Epoch(train) [96][1060/1879] lr: 2.0000e-04 eta: 1:27:14 time: 1.0980 data_time: 0.0201 memory: 13723 grad_norm: 5.0933 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7546 loss: 0.7546 2022/08/10 02:45:41 - mmengine - INFO - Epoch(train) [96][1080/1879] lr: 2.0000e-04 eta: 1:27:01 time: 0.7138 data_time: 0.0172 memory: 13723 grad_norm: 4.8697 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5434 loss: 0.5434 2022/08/10 02:45:57 - mmengine - INFO - Epoch(train) [96][1100/1879] lr: 2.0000e-04 eta: 1:26:49 time: 0.7645 data_time: 0.0246 memory: 13723 grad_norm: 4.9642 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5659 loss: 0.5659 2022/08/10 02:46:11 - mmengine - INFO - Epoch(train) [96][1120/1879] lr: 2.0000e-04 eta: 1:26:36 time: 0.7033 data_time: 0.0169 memory: 13723 grad_norm: 4.8494 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6523 loss: 0.6523 2022/08/10 02:46:31 - mmengine - INFO - Epoch(train) [96][1140/1879] lr: 2.0000e-04 eta: 1:26:24 time: 0.9802 data_time: 0.0188 memory: 13723 grad_norm: 4.9674 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6091 loss: 0.6091 2022/08/10 02:46:48 - mmengine - INFO - Epoch(train) [96][1160/1879] lr: 2.0000e-04 eta: 1:26:12 time: 0.8873 data_time: 0.0183 memory: 13723 grad_norm: 4.8723 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5855 loss: 0.5855 2022/08/10 02:47:08 - mmengine - INFO - Epoch(train) [96][1180/1879] lr: 2.0000e-04 eta: 1:25:59 time: 0.9632 data_time: 0.0208 memory: 13723 grad_norm: 4.7436 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4652 loss: 0.4652 2022/08/10 02:47:21 - mmengine - INFO - Epoch(train) [96][1200/1879] lr: 2.0000e-04 eta: 1:25:47 time: 0.6667 data_time: 0.1241 memory: 13723 grad_norm: 4.9810 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5531 loss: 0.5531 2022/08/10 02:47:35 - mmengine - INFO - Epoch(train) [96][1220/1879] lr: 2.0000e-04 eta: 1:25:34 time: 0.7057 data_time: 0.1108 memory: 13723 grad_norm: 5.0002 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5602 loss: 0.5602 2022/08/10 02:47:51 - mmengine - INFO - Epoch(train) [96][1240/1879] lr: 2.0000e-04 eta: 1:25:22 time: 0.7726 data_time: 0.0168 memory: 13723 grad_norm: 4.7302 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5355 loss: 0.5355 2022/08/10 02:48:09 - mmengine - INFO - Epoch(train) [96][1260/1879] lr: 2.0000e-04 eta: 1:25:10 time: 0.9156 data_time: 0.0198 memory: 13723 grad_norm: 5.0893 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6200 loss: 0.6200 2022/08/10 02:48:24 - mmengine - INFO - Epoch(train) [96][1280/1879] lr: 2.0000e-04 eta: 1:24:57 time: 0.7440 data_time: 0.0182 memory: 13723 grad_norm: 4.9075 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6363 loss: 0.6363 2022/08/10 02:48:40 - mmengine - INFO - Epoch(train) [96][1300/1879] lr: 2.0000e-04 eta: 1:24:45 time: 0.8255 data_time: 0.0188 memory: 13723 grad_norm: 4.8155 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5591 loss: 0.5591 2022/08/10 02:48:52 - mmengine - INFO - Epoch(train) [96][1320/1879] lr: 2.0000e-04 eta: 1:24:32 time: 0.5829 data_time: 0.0245 memory: 13723 grad_norm: 5.0258 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5129 loss: 0.5129 2022/08/10 02:49:05 - mmengine - INFO - Epoch(train) [96][1340/1879] lr: 2.0000e-04 eta: 1:24:20 time: 0.6754 data_time: 0.0205 memory: 13723 grad_norm: 4.7577 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5778 loss: 0.5778 2022/08/10 02:49:20 - mmengine - INFO - Epoch(train) [96][1360/1879] lr: 2.0000e-04 eta: 1:24:07 time: 0.7137 data_time: 0.0205 memory: 13723 grad_norm: 4.9720 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4972 loss: 0.4972 2022/08/10 02:49:37 - mmengine - INFO - Epoch(train) [96][1380/1879] lr: 2.0000e-04 eta: 1:23:55 time: 0.8450 data_time: 0.0182 memory: 13723 grad_norm: 4.7977 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5093 loss: 0.5093 2022/08/10 02:49:50 - mmengine - INFO - Epoch(train) [96][1400/1879] lr: 2.0000e-04 eta: 1:23:42 time: 0.6493 data_time: 0.0201 memory: 13723 grad_norm: 5.1496 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6368 loss: 0.6368 2022/08/10 02:50:07 - mmengine - INFO - Epoch(train) [96][1420/1879] lr: 2.0000e-04 eta: 1:23:30 time: 0.8498 data_time: 0.0221 memory: 13723 grad_norm: 4.9032 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5622 loss: 0.5622 2022/08/10 02:50:21 - mmengine - INFO - Epoch(train) [96][1440/1879] lr: 2.0000e-04 eta: 1:23:17 time: 0.6958 data_time: 0.0399 memory: 13723 grad_norm: 4.8733 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6240 loss: 0.6240 2022/08/10 02:50:43 - mmengine - INFO - Epoch(train) [96][1460/1879] lr: 2.0000e-04 eta: 1:23:05 time: 1.1234 data_time: 0.0187 memory: 13723 grad_norm: 5.0882 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5618 loss: 0.5618 2022/08/10 02:50:56 - mmengine - INFO - Epoch(train) [96][1480/1879] lr: 2.0000e-04 eta: 1:22:53 time: 0.6570 data_time: 0.0319 memory: 13723 grad_norm: 5.0437 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5735 loss: 0.5735 2022/08/10 02:51:06 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 02:51:11 - mmengine - INFO - Epoch(train) [96][1500/1879] lr: 2.0000e-04 eta: 1:22:40 time: 0.7145 data_time: 0.0187 memory: 13723 grad_norm: 4.8048 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4508 loss: 0.4508 2022/08/10 02:51:26 - mmengine - INFO - Epoch(train) [96][1520/1879] lr: 2.0000e-04 eta: 1:22:28 time: 0.7556 data_time: 0.0209 memory: 13723 grad_norm: 4.9796 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5208 loss: 0.5208 2022/08/10 02:51:40 - mmengine - INFO - Epoch(train) [96][1540/1879] lr: 2.0000e-04 eta: 1:22:15 time: 0.7180 data_time: 0.0209 memory: 13723 grad_norm: 4.7974 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5761 loss: 0.5761 2022/08/10 02:51:57 - mmengine - INFO - Epoch(train) [96][1560/1879] lr: 2.0000e-04 eta: 1:22:03 time: 0.8277 data_time: 0.0176 memory: 13723 grad_norm: 5.0881 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6103 loss: 0.6103 2022/08/10 02:52:13 - mmengine - INFO - Epoch(train) [96][1580/1879] lr: 2.0000e-04 eta: 1:21:51 time: 0.8133 data_time: 0.0195 memory: 13723 grad_norm: 4.9151 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6084 loss: 0.6084 2022/08/10 02:52:28 - mmengine - INFO - Epoch(train) [96][1600/1879] lr: 2.0000e-04 eta: 1:21:38 time: 0.7477 data_time: 0.0202 memory: 13723 grad_norm: 5.0409 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6207 loss: 0.6207 2022/08/10 02:52:45 - mmengine - INFO - Epoch(train) [96][1620/1879] lr: 2.0000e-04 eta: 1:21:26 time: 0.8706 data_time: 0.0170 memory: 13723 grad_norm: 5.0638 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5621 loss: 0.5621 2022/08/10 02:52:57 - mmengine - INFO - Epoch(train) [96][1640/1879] lr: 2.0000e-04 eta: 1:21:13 time: 0.5994 data_time: 0.0196 memory: 13723 grad_norm: 4.9131 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5005 loss: 0.5005 2022/08/10 02:53:14 - mmengine - INFO - Epoch(train) [96][1660/1879] lr: 2.0000e-04 eta: 1:21:01 time: 0.8258 data_time: 0.0213 memory: 13723 grad_norm: 4.7853 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4101 loss: 0.4101 2022/08/10 02:53:29 - mmengine - INFO - Epoch(train) [96][1680/1879] lr: 2.0000e-04 eta: 1:20:48 time: 0.7438 data_time: 0.0187 memory: 13723 grad_norm: 5.0130 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5505 loss: 0.5505 2022/08/10 02:53:47 - mmengine - INFO - Epoch(train) [96][1700/1879] lr: 2.0000e-04 eta: 1:20:36 time: 0.8890 data_time: 0.0177 memory: 13723 grad_norm: 4.7057 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6746 loss: 0.6746 2022/08/10 02:53:59 - mmengine - INFO - Epoch(train) [96][1720/1879] lr: 2.0000e-04 eta: 1:20:23 time: 0.6232 data_time: 0.0214 memory: 13723 grad_norm: 4.9989 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4970 loss: 0.4970 2022/08/10 02:54:15 - mmengine - INFO - Epoch(train) [96][1740/1879] lr: 2.0000e-04 eta: 1:20:11 time: 0.7810 data_time: 0.0225 memory: 13723 grad_norm: 4.9523 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6301 loss: 0.6301 2022/08/10 02:54:35 - mmengine - INFO - Epoch(train) [96][1760/1879] lr: 2.0000e-04 eta: 1:19:59 time: 0.9938 data_time: 0.1195 memory: 13723 grad_norm: 4.8163 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5542 loss: 0.5542 2022/08/10 02:54:47 - mmengine - INFO - Epoch(train) [96][1780/1879] lr: 2.0000e-04 eta: 1:19:46 time: 0.6420 data_time: 0.0182 memory: 13723 grad_norm: 4.9309 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5496 loss: 0.5496 2022/08/10 02:55:03 - mmengine - INFO - Epoch(train) [96][1800/1879] lr: 2.0000e-04 eta: 1:19:34 time: 0.7729 data_time: 0.0212 memory: 13723 grad_norm: 5.1426 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6775 loss: 0.6775 2022/08/10 02:55:19 - mmengine - INFO - Epoch(train) [96][1820/1879] lr: 2.0000e-04 eta: 1:19:21 time: 0.7834 data_time: 0.0586 memory: 13723 grad_norm: 4.8226 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5886 loss: 0.5886 2022/08/10 02:55:34 - mmengine - INFO - Epoch(train) [96][1840/1879] lr: 2.0000e-04 eta: 1:19:09 time: 0.7579 data_time: 0.0254 memory: 13723 grad_norm: 4.8535 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5072 loss: 0.5072 2022/08/10 02:55:47 - mmengine - INFO - Epoch(train) [96][1860/1879] lr: 2.0000e-04 eta: 1:18:56 time: 0.6644 data_time: 0.0220 memory: 13723 grad_norm: 4.9275 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6370 loss: 0.6370 2022/08/10 02:56:00 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 02:56:00 - mmengine - INFO - Epoch(train) [96][1879/1879] lr: 2.0000e-04 eta: 1:18:56 time: 0.6730 data_time: 0.1172 memory: 13723 grad_norm: 5.3208 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.5609 loss: 0.5609 2022/08/10 02:56:00 - mmengine - INFO - Saving checkpoint at 96 epochs 2022/08/10 02:56:18 - mmengine - INFO - Epoch(val) [96][20/155] eta: 0:01:48 time: 0.8007 data_time: 0.6616 memory: 1829 2022/08/10 02:56:26 - mmengine - INFO - Epoch(val) [96][40/155] eta: 0:00:49 time: 0.4308 data_time: 0.2903 memory: 1829 2022/08/10 02:56:45 - mmengine - INFO - Epoch(val) [96][60/155] eta: 0:01:29 time: 0.9442 data_time: 0.8068 memory: 1829 2022/08/10 02:56:59 - mmengine - INFO - Epoch(val) [96][80/155] eta: 0:00:49 time: 0.6616 data_time: 0.5236 memory: 1829 2022/08/10 02:57:09 - mmengine - INFO - Epoch(val) [96][100/155] eta: 0:00:29 time: 0.5441 data_time: 0.4090 memory: 1829 2022/08/10 02:57:21 - mmengine - INFO - Epoch(val) [96][120/155] eta: 0:00:21 time: 0.6031 data_time: 0.4672 memory: 1829 2022/08/10 02:57:37 - mmengine - INFO - Epoch(val) [96][140/155] eta: 0:00:11 time: 0.7683 data_time: 0.6342 memory: 1829 2022/08/10 02:57:52 - mmengine - INFO - Epoch(val) [96][155/155] acc/top1: 0.7141 acc/top5: 0.8936 acc/mean1: 0.7141 2022/08/10 02:58:16 - mmengine - INFO - Epoch(train) [97][20/1879] lr: 2.0000e-04 eta: 1:18:32 time: 1.1812 data_time: 0.2170 memory: 13723 grad_norm: 4.9071 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4582 loss: 0.4582 2022/08/10 02:58:33 - mmengine - INFO - Epoch(train) [97][40/1879] lr: 2.0000e-04 eta: 1:18:19 time: 0.8382 data_time: 0.0198 memory: 13723 grad_norm: 4.9724 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5426 loss: 0.5426 2022/08/10 02:58:44 - mmengine - INFO - Epoch(train) [97][60/1879] lr: 2.0000e-04 eta: 1:18:07 time: 0.5749 data_time: 0.0238 memory: 13723 grad_norm: 5.0122 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5771 loss: 0.5771 2022/08/10 02:59:02 - mmengine - INFO - Epoch(train) [97][80/1879] lr: 2.0000e-04 eta: 1:17:54 time: 0.8696 data_time: 0.0169 memory: 13723 grad_norm: 5.0357 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5933 loss: 0.5933 2022/08/10 02:59:20 - mmengine - INFO - Epoch(train) [97][100/1879] lr: 2.0000e-04 eta: 1:17:42 time: 0.9261 data_time: 0.0271 memory: 13723 grad_norm: 5.0114 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5007 loss: 0.5007 2022/08/10 02:59:32 - mmengine - INFO - Epoch(train) [97][120/1879] lr: 2.0000e-04 eta: 1:17:29 time: 0.5667 data_time: 0.0177 memory: 13723 grad_norm: 4.9738 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5102 loss: 0.5102 2022/08/10 02:59:45 - mmengine - INFO - Epoch(train) [97][140/1879] lr: 2.0000e-04 eta: 1:17:17 time: 0.6416 data_time: 0.0236 memory: 13723 grad_norm: 5.0293 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6386 loss: 0.6386 2022/08/10 02:59:59 - mmengine - INFO - Epoch(train) [97][160/1879] lr: 2.0000e-04 eta: 1:17:04 time: 0.7363 data_time: 0.0185 memory: 13723 grad_norm: 4.8841 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6555 loss: 0.6555 2022/08/10 03:00:14 - mmengine - INFO - Epoch(train) [97][180/1879] lr: 2.0000e-04 eta: 1:16:52 time: 0.7383 data_time: 0.1816 memory: 13723 grad_norm: 4.8543 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5547 loss: 0.5547 2022/08/10 03:00:32 - mmengine - INFO - Epoch(train) [97][200/1879] lr: 2.0000e-04 eta: 1:16:39 time: 0.8687 data_time: 0.0186 memory: 13723 grad_norm: 4.8882 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6212 loss: 0.6212 2022/08/10 03:00:50 - mmengine - INFO - Epoch(train) [97][220/1879] lr: 2.0000e-04 eta: 1:16:27 time: 0.9313 data_time: 0.0189 memory: 13723 grad_norm: 4.9059 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6931 loss: 0.6931 2022/08/10 03:01:05 - mmengine - INFO - Epoch(train) [97][240/1879] lr: 2.0000e-04 eta: 1:16:15 time: 0.7546 data_time: 0.0201 memory: 13723 grad_norm: 4.8389 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5037 loss: 0.5037 2022/08/10 03:01:18 - mmengine - INFO - Epoch(train) [97][260/1879] lr: 2.0000e-04 eta: 1:16:02 time: 0.6373 data_time: 0.0236 memory: 13723 grad_norm: 5.0254 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6440 loss: 0.6440 2022/08/10 03:01:36 - mmengine - INFO - Epoch(train) [97][280/1879] lr: 2.0000e-04 eta: 1:15:50 time: 0.9018 data_time: 0.0200 memory: 13723 grad_norm: 5.1555 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5865 loss: 0.5865 2022/08/10 03:01:52 - mmengine - INFO - Epoch(train) [97][300/1879] lr: 2.0000e-04 eta: 1:15:37 time: 0.8094 data_time: 0.0183 memory: 13723 grad_norm: 5.2507 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5565 loss: 0.5565 2022/08/10 03:02:12 - mmengine - INFO - Epoch(train) [97][320/1879] lr: 2.0000e-04 eta: 1:15:25 time: 1.0036 data_time: 0.0193 memory: 13723 grad_norm: 4.8827 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6995 loss: 0.6995 2022/08/10 03:02:29 - mmengine - INFO - Epoch(train) [97][340/1879] lr: 2.0000e-04 eta: 1:15:12 time: 0.8133 data_time: 0.0176 memory: 13723 grad_norm: 4.9053 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4652 loss: 0.4652 2022/08/10 03:02:44 - mmengine - INFO - Epoch(train) [97][360/1879] lr: 2.0000e-04 eta: 1:15:00 time: 0.7777 data_time: 0.1056 memory: 13723 grad_norm: 4.9701 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5100 loss: 0.5100 2022/08/10 03:03:01 - mmengine - INFO - Epoch(train) [97][380/1879] lr: 2.0000e-04 eta: 1:14:48 time: 0.8444 data_time: 0.0245 memory: 13723 grad_norm: 4.9452 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5437 loss: 0.5437 2022/08/10 03:03:15 - mmengine - INFO - Epoch(train) [97][400/1879] lr: 2.0000e-04 eta: 1:14:35 time: 0.6969 data_time: 0.0237 memory: 13723 grad_norm: 4.7660 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5157 loss: 0.5157 2022/08/10 03:03:31 - mmengine - INFO - Epoch(train) [97][420/1879] lr: 2.0000e-04 eta: 1:14:23 time: 0.8184 data_time: 0.0180 memory: 13723 grad_norm: 4.9138 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4948 loss: 0.4948 2022/08/10 03:03:52 - mmengine - INFO - Epoch(train) [97][440/1879] lr: 2.0000e-04 eta: 1:14:10 time: 1.0470 data_time: 0.0186 memory: 13723 grad_norm: 5.0860 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6009 loss: 0.6009 2022/08/10 03:04:06 - mmengine - INFO - Epoch(train) [97][460/1879] lr: 2.0000e-04 eta: 1:13:58 time: 0.6816 data_time: 0.0200 memory: 13723 grad_norm: 4.9910 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5285 loss: 0.5285 2022/08/10 03:04:23 - mmengine - INFO - Epoch(train) [97][480/1879] lr: 2.0000e-04 eta: 1:13:45 time: 0.8302 data_time: 0.2622 memory: 13723 grad_norm: 4.8984 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5453 loss: 0.5453 2022/08/10 03:04:38 - mmengine - INFO - Epoch(train) [97][500/1879] lr: 2.0000e-04 eta: 1:13:33 time: 0.7468 data_time: 0.0167 memory: 13723 grad_norm: 4.8646 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3615 loss: 0.3615 2022/08/10 03:04:56 - mmengine - INFO - Epoch(train) [97][520/1879] lr: 2.0000e-04 eta: 1:13:21 time: 0.9223 data_time: 0.0202 memory: 13723 grad_norm: 4.9300 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5792 loss: 0.5792 2022/08/10 03:05:13 - mmengine - INFO - Epoch(train) [97][540/1879] lr: 2.0000e-04 eta: 1:13:08 time: 0.8475 data_time: 0.0178 memory: 13723 grad_norm: 4.8340 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5085 loss: 0.5085 2022/08/10 03:05:36 - mmengine - INFO - Epoch(train) [97][560/1879] lr: 2.0000e-04 eta: 1:12:56 time: 1.1256 data_time: 0.0183 memory: 13723 grad_norm: 4.7916 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4950 loss: 0.4950 2022/08/10 03:05:58 - mmengine - INFO - Epoch(train) [97][580/1879] lr: 2.0000e-04 eta: 1:12:44 time: 1.1273 data_time: 0.0220 memory: 13723 grad_norm: 4.8159 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6342 loss: 0.6342 2022/08/10 03:06:12 - mmengine - INFO - Epoch(train) [97][600/1879] lr: 2.0000e-04 eta: 1:12:31 time: 0.6807 data_time: 0.0180 memory: 13723 grad_norm: 4.9045 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6143 loss: 0.6143 2022/08/10 03:06:24 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 03:06:31 - mmengine - INFO - Epoch(train) [97][620/1879] lr: 2.0000e-04 eta: 1:12:19 time: 0.9559 data_time: 0.0194 memory: 13723 grad_norm: 4.8660 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5547 loss: 0.5547 2022/08/10 03:06:44 - mmengine - INFO - Epoch(train) [97][640/1879] lr: 2.0000e-04 eta: 1:12:06 time: 0.6511 data_time: 0.0189 memory: 13723 grad_norm: 5.0493 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6640 loss: 0.6640 2022/08/10 03:06:58 - mmengine - INFO - Epoch(train) [97][660/1879] lr: 2.0000e-04 eta: 1:11:54 time: 0.7075 data_time: 0.0211 memory: 13723 grad_norm: 4.8952 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5742 loss: 0.5742 2022/08/10 03:07:14 - mmengine - INFO - Epoch(train) [97][680/1879] lr: 2.0000e-04 eta: 1:11:41 time: 0.7677 data_time: 0.0220 memory: 13723 grad_norm: 5.0713 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7777 loss: 0.7777 2022/08/10 03:07:31 - mmengine - INFO - Epoch(train) [97][700/1879] lr: 2.0000e-04 eta: 1:11:29 time: 0.8740 data_time: 0.0227 memory: 13723 grad_norm: 4.8783 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5634 loss: 0.5634 2022/08/10 03:07:49 - mmengine - INFO - Epoch(train) [97][720/1879] lr: 2.0000e-04 eta: 1:11:17 time: 0.8920 data_time: 0.0172 memory: 13723 grad_norm: 4.9282 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5596 loss: 0.5596 2022/08/10 03:08:02 - mmengine - INFO - Epoch(train) [97][740/1879] lr: 2.0000e-04 eta: 1:11:04 time: 0.6183 data_time: 0.0357 memory: 13723 grad_norm: 5.0028 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5356 loss: 0.5356 2022/08/10 03:08:20 - mmengine - INFO - Epoch(train) [97][760/1879] lr: 2.0000e-04 eta: 1:10:52 time: 0.9478 data_time: 0.0354 memory: 13723 grad_norm: 4.7815 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4511 loss: 0.4511 2022/08/10 03:08:40 - mmengine - INFO - Epoch(train) [97][780/1879] lr: 2.0000e-04 eta: 1:10:39 time: 1.0037 data_time: 0.0172 memory: 13723 grad_norm: 4.8301 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5337 loss: 0.5337 2022/08/10 03:09:06 - mmengine - INFO - Epoch(train) [97][800/1879] lr: 2.0000e-04 eta: 1:10:27 time: 1.3015 data_time: 0.0199 memory: 13723 grad_norm: 4.8588 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5727 loss: 0.5727 2022/08/10 03:09:24 - mmengine - INFO - Epoch(train) [97][820/1879] lr: 2.0000e-04 eta: 1:10:15 time: 0.8760 data_time: 0.0157 memory: 13723 grad_norm: 5.0034 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5278 loss: 0.5278 2022/08/10 03:09:43 - mmengine - INFO - Epoch(train) [97][840/1879] lr: 2.0000e-04 eta: 1:10:02 time: 0.9467 data_time: 0.0180 memory: 13723 grad_norm: 4.8853 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5547 loss: 0.5547 2022/08/10 03:09:59 - mmengine - INFO - Epoch(train) [97][860/1879] lr: 2.0000e-04 eta: 1:09:50 time: 0.8088 data_time: 0.0187 memory: 13723 grad_norm: 4.8533 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5486 loss: 0.5486 2022/08/10 03:10:16 - mmengine - INFO - Epoch(train) [97][880/1879] lr: 2.0000e-04 eta: 1:09:38 time: 0.8269 data_time: 0.0197 memory: 13723 grad_norm: 4.8559 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4908 loss: 0.4908 2022/08/10 03:10:30 - mmengine - INFO - Epoch(train) [97][900/1879] lr: 2.0000e-04 eta: 1:09:25 time: 0.7411 data_time: 0.0239 memory: 13723 grad_norm: 4.8648 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6334 loss: 0.6334 2022/08/10 03:10:49 - mmengine - INFO - Epoch(train) [97][920/1879] lr: 2.0000e-04 eta: 1:09:13 time: 0.9258 data_time: 0.0171 memory: 13723 grad_norm: 4.9470 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5714 loss: 0.5714 2022/08/10 03:11:08 - mmengine - INFO - Epoch(train) [97][940/1879] lr: 2.0000e-04 eta: 1:09:00 time: 0.9704 data_time: 0.0182 memory: 13723 grad_norm: 4.8477 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4101 loss: 0.4101 2022/08/10 03:11:24 - mmengine - INFO - Epoch(train) [97][960/1879] lr: 2.0000e-04 eta: 1:08:48 time: 0.7677 data_time: 0.0185 memory: 13723 grad_norm: 4.8532 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5905 loss: 0.5905 2022/08/10 03:11:38 - mmengine - INFO - Epoch(train) [97][980/1879] lr: 2.0000e-04 eta: 1:08:35 time: 0.7296 data_time: 0.0229 memory: 13723 grad_norm: 4.9208 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6104 loss: 0.6104 2022/08/10 03:11:57 - mmengine - INFO - Epoch(train) [97][1000/1879] lr: 2.0000e-04 eta: 1:08:23 time: 0.9522 data_time: 0.0184 memory: 13723 grad_norm: 4.9144 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6826 loss: 0.6826 2022/08/10 03:12:16 - mmengine - INFO - Epoch(train) [97][1020/1879] lr: 2.0000e-04 eta: 1:08:11 time: 0.9187 data_time: 0.0231 memory: 13723 grad_norm: 4.8519 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5130 loss: 0.5130 2022/08/10 03:12:28 - mmengine - INFO - Epoch(train) [97][1040/1879] lr: 2.0000e-04 eta: 1:07:58 time: 0.5828 data_time: 0.0339 memory: 13723 grad_norm: 5.1194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5136 loss: 0.5136 2022/08/10 03:12:46 - mmengine - INFO - Epoch(train) [97][1060/1879] lr: 2.0000e-04 eta: 1:07:46 time: 0.9159 data_time: 0.0158 memory: 13723 grad_norm: 4.8805 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5692 loss: 0.5692 2022/08/10 03:13:06 - mmengine - INFO - Epoch(train) [97][1080/1879] lr: 2.0000e-04 eta: 1:07:33 time: 0.9824 data_time: 0.0206 memory: 13723 grad_norm: 4.8358 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5456 loss: 0.5456 2022/08/10 03:13:18 - mmengine - INFO - Epoch(train) [97][1100/1879] lr: 2.0000e-04 eta: 1:07:21 time: 0.6474 data_time: 0.0213 memory: 13723 grad_norm: 4.7868 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6094 loss: 0.6094 2022/08/10 03:13:35 - mmengine - INFO - Epoch(train) [97][1120/1879] lr: 2.0000e-04 eta: 1:07:08 time: 0.8156 data_time: 0.0215 memory: 13723 grad_norm: 4.9804 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5989 loss: 0.5989 2022/08/10 03:13:53 - mmengine - INFO - Epoch(train) [97][1140/1879] lr: 2.0000e-04 eta: 1:06:56 time: 0.8866 data_time: 0.0229 memory: 13723 grad_norm: 4.8635 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6577 loss: 0.6577 2022/08/10 03:14:07 - mmengine - INFO - Epoch(train) [97][1160/1879] lr: 2.0000e-04 eta: 1:06:43 time: 0.7208 data_time: 0.0198 memory: 13723 grad_norm: 5.0399 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7007 loss: 0.7007 2022/08/10 03:14:28 - mmengine - INFO - Epoch(train) [97][1180/1879] lr: 2.0000e-04 eta: 1:06:31 time: 1.0600 data_time: 0.0194 memory: 13723 grad_norm: 4.8891 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5164 loss: 0.5164 2022/08/10 03:14:43 - mmengine - INFO - Epoch(train) [97][1200/1879] lr: 2.0000e-04 eta: 1:06:18 time: 0.7443 data_time: 0.0209 memory: 13723 grad_norm: 5.0702 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6502 loss: 0.6502 2022/08/10 03:15:00 - mmengine - INFO - Epoch(train) [97][1220/1879] lr: 2.0000e-04 eta: 1:06:06 time: 0.8225 data_time: 0.0222 memory: 13723 grad_norm: 5.1015 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5634 loss: 0.5634 2022/08/10 03:15:21 - mmengine - INFO - Epoch(train) [97][1240/1879] lr: 2.0000e-04 eta: 1:05:54 time: 1.0505 data_time: 0.0188 memory: 13723 grad_norm: 5.0069 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5973 loss: 0.5973 2022/08/10 03:15:35 - mmengine - INFO - Epoch(train) [97][1260/1879] lr: 2.0000e-04 eta: 1:05:41 time: 0.7237 data_time: 0.0224 memory: 13723 grad_norm: 5.0959 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.5886 loss: 0.5886 2022/08/10 03:15:51 - mmengine - INFO - Epoch(train) [97][1280/1879] lr: 2.0000e-04 eta: 1:05:29 time: 0.8123 data_time: 0.0185 memory: 13723 grad_norm: 5.0212 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6307 loss: 0.6307 2022/08/10 03:16:11 - mmengine - INFO - Epoch(train) [97][1300/1879] lr: 2.0000e-04 eta: 1:05:16 time: 0.9904 data_time: 0.0206 memory: 13723 grad_norm: 4.9159 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6634 loss: 0.6634 2022/08/10 03:16:26 - mmengine - INFO - Epoch(train) [97][1320/1879] lr: 2.0000e-04 eta: 1:05:04 time: 0.7557 data_time: 0.0187 memory: 13723 grad_norm: 4.7584 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5298 loss: 0.5298 2022/08/10 03:16:43 - mmengine - INFO - Epoch(train) [97][1340/1879] lr: 2.0000e-04 eta: 1:04:51 time: 0.8089 data_time: 0.0205 memory: 13723 grad_norm: 4.8804 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5212 loss: 0.5212 2022/08/10 03:17:05 - mmengine - INFO - Epoch(train) [97][1360/1879] lr: 2.0000e-04 eta: 1:04:39 time: 1.1119 data_time: 0.0196 memory: 13723 grad_norm: 5.1368 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6739 loss: 0.6739 2022/08/10 03:17:23 - mmengine - INFO - Epoch(train) [97][1380/1879] lr: 2.0000e-04 eta: 1:04:27 time: 0.8974 data_time: 0.0199 memory: 13723 grad_norm: 4.8756 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4983 loss: 0.4983 2022/08/10 03:17:37 - mmengine - INFO - Epoch(train) [97][1400/1879] lr: 2.0000e-04 eta: 1:04:14 time: 0.7246 data_time: 0.0206 memory: 13723 grad_norm: 5.0573 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6273 loss: 0.6273 2022/08/10 03:17:53 - mmengine - INFO - Epoch(train) [97][1420/1879] lr: 2.0000e-04 eta: 1:04:01 time: 0.7755 data_time: 0.0194 memory: 13723 grad_norm: 4.8564 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4548 loss: 0.4548 2022/08/10 03:18:14 - mmengine - INFO - Epoch(train) [97][1440/1879] lr: 2.0000e-04 eta: 1:03:49 time: 1.0857 data_time: 0.0189 memory: 13723 grad_norm: 4.8847 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6341 loss: 0.6341 2022/08/10 03:18:29 - mmengine - INFO - Epoch(train) [97][1460/1879] lr: 2.0000e-04 eta: 1:03:37 time: 0.7002 data_time: 0.0196 memory: 13723 grad_norm: 5.0389 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5112 loss: 0.5112 2022/08/10 03:18:55 - mmengine - INFO - Epoch(train) [97][1480/1879] lr: 2.0000e-04 eta: 1:03:24 time: 1.3065 data_time: 0.0173 memory: 13723 grad_norm: 4.9871 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6190 loss: 0.6190 2022/08/10 03:19:12 - mmengine - INFO - Epoch(train) [97][1500/1879] lr: 2.0000e-04 eta: 1:03:12 time: 0.8799 data_time: 0.0201 memory: 13723 grad_norm: 4.6924 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5818 loss: 0.5818 2022/08/10 03:19:31 - mmengine - INFO - Epoch(train) [97][1520/1879] lr: 2.0000e-04 eta: 1:03:00 time: 0.9203 data_time: 0.0197 memory: 13723 grad_norm: 5.0742 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.5342 loss: 0.5342 2022/08/10 03:19:51 - mmengine - INFO - Epoch(train) [97][1540/1879] lr: 2.0000e-04 eta: 1:02:47 time: 1.0090 data_time: 0.0201 memory: 13723 grad_norm: 4.9512 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5509 loss: 0.5509 2022/08/10 03:20:10 - mmengine - INFO - Epoch(train) [97][1560/1879] lr: 2.0000e-04 eta: 1:02:35 time: 0.9541 data_time: 0.0180 memory: 13723 grad_norm: 5.0625 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6105 loss: 0.6105 2022/08/10 03:20:28 - mmengine - INFO - Epoch(train) [97][1580/1879] lr: 2.0000e-04 eta: 1:02:22 time: 0.9059 data_time: 0.0216 memory: 13723 grad_norm: 5.1697 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.5604 loss: 0.5604 2022/08/10 03:20:46 - mmengine - INFO - Epoch(train) [97][1600/1879] lr: 2.0000e-04 eta: 1:02:10 time: 0.8970 data_time: 0.0215 memory: 13723 grad_norm: 4.8237 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5978 loss: 0.5978 2022/08/10 03:20:57 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 03:21:02 - mmengine - INFO - Epoch(train) [97][1620/1879] lr: 2.0000e-04 eta: 1:01:57 time: 0.8068 data_time: 0.0221 memory: 13723 grad_norm: 4.7577 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5526 loss: 0.5526 2022/08/10 03:21:19 - mmengine - INFO - Epoch(train) [97][1640/1879] lr: 2.0000e-04 eta: 1:01:45 time: 0.8435 data_time: 0.0188 memory: 13723 grad_norm: 4.9135 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5707 loss: 0.5707 2022/08/10 03:21:38 - mmengine - INFO - Epoch(train) [97][1660/1879] lr: 2.0000e-04 eta: 1:01:33 time: 0.9175 data_time: 0.0338 memory: 13723 grad_norm: 5.0661 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4892 loss: 0.4892 2022/08/10 03:21:53 - mmengine - INFO - Epoch(train) [97][1680/1879] lr: 2.0000e-04 eta: 1:01:20 time: 0.7590 data_time: 0.0203 memory: 13723 grad_norm: 5.0112 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5478 loss: 0.5478 2022/08/10 03:22:11 - mmengine - INFO - Epoch(train) [97][1700/1879] lr: 2.0000e-04 eta: 1:01:08 time: 0.8889 data_time: 0.0212 memory: 13723 grad_norm: 5.0701 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6715 loss: 0.6715 2022/08/10 03:22:27 - mmengine - INFO - Epoch(train) [97][1720/1879] lr: 2.0000e-04 eta: 1:00:55 time: 0.8144 data_time: 0.0195 memory: 13723 grad_norm: 4.6955 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.5748 loss: 0.5748 2022/08/10 03:22:45 - mmengine - INFO - Epoch(train) [97][1740/1879] lr: 2.0000e-04 eta: 1:00:43 time: 0.8861 data_time: 0.0188 memory: 13723 grad_norm: 4.8392 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5831 loss: 0.5831 2022/08/10 03:23:07 - mmengine - INFO - Epoch(train) [97][1760/1879] lr: 2.0000e-04 eta: 1:00:30 time: 1.1331 data_time: 0.0203 memory: 13723 grad_norm: 4.7679 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4549 loss: 0.4549 2022/08/10 03:23:24 - mmengine - INFO - Epoch(train) [97][1780/1879] lr: 2.0000e-04 eta: 1:00:18 time: 0.8466 data_time: 0.0199 memory: 13723 grad_norm: 4.9404 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6363 loss: 0.6363 2022/08/10 03:23:43 - mmengine - INFO - Epoch(train) [97][1800/1879] lr: 2.0000e-04 eta: 1:00:05 time: 0.9535 data_time: 0.0189 memory: 13723 grad_norm: 5.0163 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5734 loss: 0.5734 2022/08/10 03:24:01 - mmengine - INFO - Epoch(train) [97][1820/1879] lr: 2.0000e-04 eta: 0:59:53 time: 0.8977 data_time: 0.0195 memory: 13723 grad_norm: 4.8985 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4576 loss: 0.4576 2022/08/10 03:24:15 - mmengine - INFO - Epoch(train) [97][1840/1879] lr: 2.0000e-04 eta: 0:59:40 time: 0.6982 data_time: 0.0224 memory: 13723 grad_norm: 4.9353 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5337 loss: 0.5337 2022/08/10 03:24:33 - mmengine - INFO - Epoch(train) [97][1860/1879] lr: 2.0000e-04 eta: 0:59:28 time: 0.8727 data_time: 0.0201 memory: 13723 grad_norm: 4.9819 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6054 loss: 0.6054 2022/08/10 03:24:50 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 03:24:50 - mmengine - INFO - Epoch(train) [97][1879/1879] lr: 2.0000e-04 eta: 0:59:28 time: 0.9154 data_time: 0.0196 memory: 13723 grad_norm: 5.1246 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.5768 loss: 0.5768 2022/08/10 03:25:05 - mmengine - INFO - Epoch(val) [97][20/155] eta: 0:01:35 time: 0.7048 data_time: 0.5653 memory: 1829 2022/08/10 03:25:19 - mmengine - INFO - Epoch(val) [97][40/155] eta: 0:01:24 time: 0.7331 data_time: 0.5935 memory: 1829 2022/08/10 03:25:36 - mmengine - INFO - Epoch(val) [97][60/155] eta: 0:01:17 time: 0.8196 data_time: 0.6825 memory: 1829 2022/08/10 03:25:51 - mmengine - INFO - Epoch(val) [97][80/155] eta: 0:00:59 time: 0.7877 data_time: 0.6487 memory: 1829 2022/08/10 03:26:02 - mmengine - INFO - Epoch(val) [97][100/155] eta: 0:00:30 time: 0.5457 data_time: 0.4095 memory: 1829 2022/08/10 03:26:18 - mmengine - INFO - Epoch(val) [97][120/155] eta: 0:00:27 time: 0.7999 data_time: 0.6657 memory: 1829 2022/08/10 03:26:25 - mmengine - INFO - Epoch(val) [97][140/155] eta: 0:00:05 time: 0.3485 data_time: 0.2140 memory: 1829 2022/08/10 03:26:41 - mmengine - INFO - Epoch(val) [97][155/155] acc/top1: 0.7136 acc/top5: 0.8947 acc/mean1: 0.7135 2022/08/10 03:27:02 - mmengine - INFO - Epoch(train) [98][20/1879] lr: 2.0000e-04 eta: 0:59:03 time: 1.0362 data_time: 0.1932 memory: 13723 grad_norm: 4.9822 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5403 loss: 0.5403 2022/08/10 03:27:18 - mmengine - INFO - Epoch(train) [98][40/1879] lr: 2.0000e-04 eta: 0:58:51 time: 0.8089 data_time: 0.0214 memory: 13723 grad_norm: 4.6393 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4401 loss: 0.4401 2022/08/10 03:27:41 - mmengine - INFO - Epoch(train) [98][60/1879] lr: 2.0000e-04 eta: 0:58:38 time: 1.1583 data_time: 0.0186 memory: 13723 grad_norm: 4.7532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4298 loss: 0.4298 2022/08/10 03:27:53 - mmengine - INFO - Epoch(train) [98][80/1879] lr: 2.0000e-04 eta: 0:58:26 time: 0.5919 data_time: 0.0210 memory: 13723 grad_norm: 4.9797 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5304 loss: 0.5304 2022/08/10 03:28:09 - mmengine - INFO - Epoch(train) [98][100/1879] lr: 2.0000e-04 eta: 0:58:13 time: 0.7778 data_time: 0.0188 memory: 13723 grad_norm: 4.9247 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6322 loss: 0.6322 2022/08/10 03:28:23 - mmengine - INFO - Epoch(train) [98][120/1879] lr: 2.0000e-04 eta: 0:58:01 time: 0.7306 data_time: 0.0214 memory: 13723 grad_norm: 4.8458 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5526 loss: 0.5526 2022/08/10 03:28:38 - mmengine - INFO - Epoch(train) [98][140/1879] lr: 2.0000e-04 eta: 0:57:48 time: 0.7443 data_time: 0.0210 memory: 13723 grad_norm: 4.9136 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.6206 loss: 0.6206 2022/08/10 03:28:59 - mmengine - INFO - Epoch(train) [98][160/1879] lr: 2.0000e-04 eta: 0:57:36 time: 1.0339 data_time: 0.0191 memory: 13723 grad_norm: 4.9305 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5427 loss: 0.5427 2022/08/10 03:29:11 - mmengine - INFO - Epoch(train) [98][180/1879] lr: 2.0000e-04 eta: 0:57:23 time: 0.6315 data_time: 0.0201 memory: 13723 grad_norm: 5.1957 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6016 loss: 0.6016 2022/08/10 03:29:25 - mmengine - INFO - Epoch(train) [98][200/1879] lr: 2.0000e-04 eta: 0:57:11 time: 0.6752 data_time: 0.0237 memory: 13723 grad_norm: 4.8020 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5563 loss: 0.5563 2022/08/10 03:29:37 - mmengine - INFO - Epoch(train) [98][220/1879] lr: 2.0000e-04 eta: 0:56:58 time: 0.5956 data_time: 0.0197 memory: 13723 grad_norm: 5.0128 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5551 loss: 0.5551 2022/08/10 03:29:51 - mmengine - INFO - Epoch(train) [98][240/1879] lr: 2.0000e-04 eta: 0:56:45 time: 0.7057 data_time: 0.0217 memory: 13723 grad_norm: 4.9315 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5602 loss: 0.5602 2022/08/10 03:30:05 - mmengine - INFO - Epoch(train) [98][260/1879] lr: 2.0000e-04 eta: 0:56:33 time: 0.7167 data_time: 0.0217 memory: 13723 grad_norm: 5.1356 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.4943 loss: 0.4943 2022/08/10 03:30:19 - mmengine - INFO - Epoch(train) [98][280/1879] lr: 2.0000e-04 eta: 0:56:20 time: 0.6697 data_time: 0.0219 memory: 13723 grad_norm: 5.0751 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5998 loss: 0.5998 2022/08/10 03:30:35 - mmengine - INFO - Epoch(train) [98][300/1879] lr: 2.0000e-04 eta: 0:56:08 time: 0.8320 data_time: 0.0180 memory: 13723 grad_norm: 4.8476 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5500 loss: 0.5500 2022/08/10 03:30:49 - mmengine - INFO - Epoch(train) [98][320/1879] lr: 2.0000e-04 eta: 0:55:55 time: 0.6746 data_time: 0.0195 memory: 13723 grad_norm: 5.2644 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5272 loss: 0.5272 2022/08/10 03:31:08 - mmengine - INFO - Epoch(train) [98][340/1879] lr: 2.0000e-04 eta: 0:55:43 time: 0.9374 data_time: 0.0192 memory: 13723 grad_norm: 5.0657 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5686 loss: 0.5686 2022/08/10 03:31:23 - mmengine - INFO - Epoch(train) [98][360/1879] lr: 2.0000e-04 eta: 0:55:30 time: 0.7563 data_time: 0.0294 memory: 13723 grad_norm: 4.8883 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5378 loss: 0.5378 2022/08/10 03:31:36 - mmengine - INFO - Epoch(train) [98][380/1879] lr: 2.0000e-04 eta: 0:55:17 time: 0.6469 data_time: 0.0236 memory: 13723 grad_norm: 5.1604 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5921 loss: 0.5921 2022/08/10 03:31:51 - mmengine - INFO - Epoch(train) [98][400/1879] lr: 2.0000e-04 eta: 0:55:05 time: 0.7782 data_time: 0.0179 memory: 13723 grad_norm: 5.2144 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6328 loss: 0.6328 2022/08/10 03:32:07 - mmengine - INFO - Epoch(train) [98][420/1879] lr: 2.0000e-04 eta: 0:54:52 time: 0.7599 data_time: 0.0208 memory: 13723 grad_norm: 4.9138 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4734 loss: 0.4734 2022/08/10 03:32:19 - mmengine - INFO - Epoch(train) [98][440/1879] lr: 2.0000e-04 eta: 0:54:40 time: 0.6357 data_time: 0.0199 memory: 13723 grad_norm: 4.8598 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6534 loss: 0.6534 2022/08/10 03:32:33 - mmengine - INFO - Epoch(train) [98][460/1879] lr: 2.0000e-04 eta: 0:54:27 time: 0.6975 data_time: 0.0228 memory: 13723 grad_norm: 4.9127 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4719 loss: 0.4719 2022/08/10 03:32:47 - mmengine - INFO - Epoch(train) [98][480/1879] lr: 2.0000e-04 eta: 0:54:15 time: 0.6600 data_time: 0.0207 memory: 13723 grad_norm: 4.9223 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5123 loss: 0.5123 2022/08/10 03:33:00 - mmengine - INFO - Epoch(train) [98][500/1879] lr: 2.0000e-04 eta: 0:54:02 time: 0.6902 data_time: 0.0338 memory: 13723 grad_norm: 5.0624 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5596 loss: 0.5596 2022/08/10 03:33:15 - mmengine - INFO - Epoch(train) [98][520/1879] lr: 2.0000e-04 eta: 0:53:49 time: 0.7301 data_time: 0.0186 memory: 13723 grad_norm: 4.9161 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5335 loss: 0.5335 2022/08/10 03:33:34 - mmengine - INFO - Epoch(train) [98][540/1879] lr: 2.0000e-04 eta: 0:53:37 time: 0.9264 data_time: 0.0184 memory: 13723 grad_norm: 4.8858 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5694 loss: 0.5694 2022/08/10 03:33:46 - mmengine - INFO - Epoch(train) [98][560/1879] lr: 2.0000e-04 eta: 0:53:24 time: 0.6400 data_time: 0.0221 memory: 13723 grad_norm: 5.0840 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6442 loss: 0.6442 2022/08/10 03:34:02 - mmengine - INFO - Epoch(train) [98][580/1879] lr: 2.0000e-04 eta: 0:53:12 time: 0.7685 data_time: 0.0195 memory: 13723 grad_norm: 4.6387 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5498 loss: 0.5498 2022/08/10 03:34:14 - mmengine - INFO - Epoch(train) [98][600/1879] lr: 2.0000e-04 eta: 0:52:59 time: 0.6115 data_time: 0.0219 memory: 13723 grad_norm: 4.8492 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5718 loss: 0.5718 2022/08/10 03:34:28 - mmengine - INFO - Epoch(train) [98][620/1879] lr: 2.0000e-04 eta: 0:52:47 time: 0.6980 data_time: 0.0201 memory: 13723 grad_norm: 5.0707 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6025 loss: 0.6025 2022/08/10 03:34:42 - mmengine - INFO - Epoch(train) [98][640/1879] lr: 2.0000e-04 eta: 0:52:34 time: 0.7108 data_time: 0.0202 memory: 13723 grad_norm: 4.7726 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6862 loss: 0.6862 2022/08/10 03:34:56 - mmengine - INFO - Epoch(train) [98][660/1879] lr: 2.0000e-04 eta: 0:52:21 time: 0.7094 data_time: 0.0211 memory: 13723 grad_norm: 4.9753 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5503 loss: 0.5503 2022/08/10 03:35:11 - mmengine - INFO - Epoch(train) [98][680/1879] lr: 2.0000e-04 eta: 0:52:09 time: 0.7367 data_time: 0.0325 memory: 13723 grad_norm: 4.8835 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.5362 loss: 0.5362 2022/08/10 03:35:28 - mmengine - INFO - Epoch(train) [98][700/1879] lr: 2.0000e-04 eta: 0:51:56 time: 0.8374 data_time: 0.0215 memory: 13723 grad_norm: 4.9097 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.5613 loss: 0.5613 2022/08/10 03:35:41 - mmengine - INFO - Epoch(train) [98][720/1879] lr: 2.0000e-04 eta: 0:51:44 time: 0.6775 data_time: 0.0680 memory: 13723 grad_norm: 4.8036 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6179 loss: 0.6179 2022/08/10 03:35:53 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 03:35:55 - mmengine - INFO - Epoch(train) [98][740/1879] lr: 2.0000e-04 eta: 0:51:31 time: 0.6738 data_time: 0.0208 memory: 13723 grad_norm: 5.0391 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5523 loss: 0.5523 2022/08/10 03:36:12 - mmengine - INFO - Epoch(train) [98][760/1879] lr: 2.0000e-04 eta: 0:51:19 time: 0.8287 data_time: 0.0312 memory: 13723 grad_norm: 4.9772 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4373 loss: 0.4373 2022/08/10 03:36:27 - mmengine - INFO - Epoch(train) [98][780/1879] lr: 2.0000e-04 eta: 0:51:06 time: 0.7632 data_time: 0.0187 memory: 13723 grad_norm: 4.9220 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7005 loss: 0.7005 2022/08/10 03:36:43 - mmengine - INFO - Epoch(train) [98][800/1879] lr: 2.0000e-04 eta: 0:50:53 time: 0.7965 data_time: 0.0225 memory: 13723 grad_norm: 4.8471 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4468 loss: 0.4468 2022/08/10 03:36:58 - mmengine - INFO - Epoch(train) [98][820/1879] lr: 2.0000e-04 eta: 0:50:41 time: 0.7496 data_time: 0.0233 memory: 13723 grad_norm: 5.0233 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5815 loss: 0.5815 2022/08/10 03:37:13 - mmengine - INFO - Epoch(train) [98][840/1879] lr: 2.0000e-04 eta: 0:50:28 time: 0.7402 data_time: 0.0199 memory: 13723 grad_norm: 4.9220 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5679 loss: 0.5679 2022/08/10 03:37:24 - mmengine - INFO - Epoch(train) [98][860/1879] lr: 2.0000e-04 eta: 0:50:16 time: 0.5830 data_time: 0.0224 memory: 13723 grad_norm: 5.0815 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5879 loss: 0.5879 2022/08/10 03:37:37 - mmengine - INFO - Epoch(train) [98][880/1879] lr: 2.0000e-04 eta: 0:50:03 time: 0.6476 data_time: 0.0242 memory: 13723 grad_norm: 4.8026 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5892 loss: 0.5892 2022/08/10 03:37:53 - mmengine - INFO - Epoch(train) [98][900/1879] lr: 2.0000e-04 eta: 0:49:50 time: 0.7674 data_time: 0.0344 memory: 13723 grad_norm: 5.1449 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5148 loss: 0.5148 2022/08/10 03:38:09 - mmengine - INFO - Epoch(train) [98][920/1879] lr: 2.0000e-04 eta: 0:49:38 time: 0.8099 data_time: 0.0225 memory: 13723 grad_norm: 4.9347 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5602 loss: 0.5602 2022/08/10 03:38:24 - mmengine - INFO - Epoch(train) [98][940/1879] lr: 2.0000e-04 eta: 0:49:25 time: 0.7446 data_time: 0.0213 memory: 13723 grad_norm: 5.0697 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5960 loss: 0.5960 2022/08/10 03:38:38 - mmengine - INFO - Epoch(train) [98][960/1879] lr: 2.0000e-04 eta: 0:49:13 time: 0.7128 data_time: 0.0262 memory: 13723 grad_norm: 5.1458 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4389 loss: 0.4389 2022/08/10 03:38:51 - mmengine - INFO - Epoch(train) [98][980/1879] lr: 2.0000e-04 eta: 0:49:00 time: 0.6230 data_time: 0.0231 memory: 13723 grad_norm: 5.0111 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5967 loss: 0.5967 2022/08/10 03:39:05 - mmengine - INFO - Epoch(train) [98][1000/1879] lr: 2.0000e-04 eta: 0:48:48 time: 0.7104 data_time: 0.0231 memory: 13723 grad_norm: 4.8403 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5577 loss: 0.5577 2022/08/10 03:39:21 - mmengine - INFO - Epoch(train) [98][1020/1879] lr: 2.0000e-04 eta: 0:48:35 time: 0.7869 data_time: 0.1517 memory: 13723 grad_norm: 4.9751 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5513 loss: 0.5513 2022/08/10 03:39:37 - mmengine - INFO - Epoch(train) [98][1040/1879] lr: 2.0000e-04 eta: 0:48:22 time: 0.8219 data_time: 0.0207 memory: 13723 grad_norm: 4.9495 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5371 loss: 0.5371 2022/08/10 03:39:54 - mmengine - INFO - Epoch(train) [98][1060/1879] lr: 2.0000e-04 eta: 0:48:10 time: 0.8584 data_time: 0.0189 memory: 13723 grad_norm: 5.0210 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5507 loss: 0.5507 2022/08/10 03:40:12 - mmengine - INFO - Epoch(train) [98][1080/1879] lr: 2.0000e-04 eta: 0:47:57 time: 0.9048 data_time: 0.0211 memory: 13723 grad_norm: 5.1820 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6190 loss: 0.6190 2022/08/10 03:40:29 - mmengine - INFO - Epoch(train) [98][1100/1879] lr: 2.0000e-04 eta: 0:47:45 time: 0.8563 data_time: 0.0186 memory: 13723 grad_norm: 5.0505 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6227 loss: 0.6227 2022/08/10 03:40:47 - mmengine - INFO - Epoch(train) [98][1120/1879] lr: 2.0000e-04 eta: 0:47:32 time: 0.8675 data_time: 0.0177 memory: 13723 grad_norm: 4.9829 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6006 loss: 0.6006 2022/08/10 03:40:59 - mmengine - INFO - Epoch(train) [98][1140/1879] lr: 2.0000e-04 eta: 0:47:20 time: 0.6055 data_time: 0.0234 memory: 13723 grad_norm: 4.8245 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6295 loss: 0.6295 2022/08/10 03:41:14 - mmengine - INFO - Epoch(train) [98][1160/1879] lr: 2.0000e-04 eta: 0:47:07 time: 0.7416 data_time: 0.0234 memory: 13723 grad_norm: 5.1719 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5615 loss: 0.5615 2022/08/10 03:41:26 - mmengine - INFO - Epoch(train) [98][1180/1879] lr: 2.0000e-04 eta: 0:46:55 time: 0.6199 data_time: 0.0205 memory: 13723 grad_norm: 5.1439 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6525 loss: 0.6525 2022/08/10 03:41:39 - mmengine - INFO - Epoch(train) [98][1200/1879] lr: 2.0000e-04 eta: 0:46:42 time: 0.6600 data_time: 0.0212 memory: 13723 grad_norm: 4.9125 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5356 loss: 0.5356 2022/08/10 03:41:51 - mmengine - INFO - Epoch(train) [98][1220/1879] lr: 2.0000e-04 eta: 0:46:29 time: 0.6024 data_time: 0.0221 memory: 13723 grad_norm: 4.8786 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4349 loss: 0.4349 2022/08/10 03:42:07 - mmengine - INFO - Epoch(train) [98][1240/1879] lr: 2.0000e-04 eta: 0:46:17 time: 0.7691 data_time: 0.0285 memory: 13723 grad_norm: 4.9410 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5363 loss: 0.5363 2022/08/10 03:42:20 - mmengine - INFO - Epoch(train) [98][1260/1879] lr: 2.0000e-04 eta: 0:46:04 time: 0.6692 data_time: 0.0187 memory: 13723 grad_norm: 5.1110 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6556 loss: 0.6556 2022/08/10 03:42:33 - mmengine - INFO - Epoch(train) [98][1280/1879] lr: 2.0000e-04 eta: 0:45:51 time: 0.6193 data_time: 0.0209 memory: 13723 grad_norm: 4.8704 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5135 loss: 0.5135 2022/08/10 03:42:47 - mmengine - INFO - Epoch(train) [98][1300/1879] lr: 2.0000e-04 eta: 0:45:39 time: 0.7304 data_time: 0.0188 memory: 13723 grad_norm: 4.9054 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6143 loss: 0.6143 2022/08/10 03:43:03 - mmengine - INFO - Epoch(train) [98][1320/1879] lr: 2.0000e-04 eta: 0:45:26 time: 0.8081 data_time: 0.0202 memory: 13723 grad_norm: 5.0899 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5527 loss: 0.5527 2022/08/10 03:43:19 - mmengine - INFO - Epoch(train) [98][1340/1879] lr: 2.0000e-04 eta: 0:45:14 time: 0.7738 data_time: 0.0193 memory: 13723 grad_norm: 4.9073 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6464 loss: 0.6464 2022/08/10 03:43:33 - mmengine - INFO - Epoch(train) [98][1360/1879] lr: 2.0000e-04 eta: 0:45:01 time: 0.7073 data_time: 0.0196 memory: 13723 grad_norm: 4.7634 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5240 loss: 0.5240 2022/08/10 03:43:54 - mmengine - INFO - Epoch(train) [98][1380/1879] lr: 2.0000e-04 eta: 0:44:49 time: 1.0483 data_time: 0.0184 memory: 13723 grad_norm: 4.8098 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6018 loss: 0.6018 2022/08/10 03:44:06 - mmengine - INFO - Epoch(train) [98][1400/1879] lr: 2.0000e-04 eta: 0:44:36 time: 0.5904 data_time: 0.0193 memory: 13723 grad_norm: 4.9267 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7058 loss: 0.7058 2022/08/10 03:44:19 - mmengine - INFO - Epoch(train) [98][1420/1879] lr: 2.0000e-04 eta: 0:44:23 time: 0.6575 data_time: 0.0200 memory: 13723 grad_norm: 4.8444 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6779 loss: 0.6779 2022/08/10 03:44:35 - mmengine - INFO - Epoch(train) [98][1440/1879] lr: 2.0000e-04 eta: 0:44:11 time: 0.8162 data_time: 0.0237 memory: 13723 grad_norm: 4.9853 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.4836 loss: 0.4836 2022/08/10 03:44:49 - mmengine - INFO - Epoch(train) [98][1460/1879] lr: 2.0000e-04 eta: 0:43:58 time: 0.6787 data_time: 0.0320 memory: 13723 grad_norm: 4.9115 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5353 loss: 0.5353 2022/08/10 03:45:05 - mmengine - INFO - Epoch(train) [98][1480/1879] lr: 2.0000e-04 eta: 0:43:46 time: 0.7934 data_time: 0.0227 memory: 13723 grad_norm: 5.0557 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6464 loss: 0.6464 2022/08/10 03:45:23 - mmengine - INFO - Epoch(train) [98][1500/1879] lr: 2.0000e-04 eta: 0:43:33 time: 0.9201 data_time: 0.1031 memory: 13723 grad_norm: 4.7644 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4787 loss: 0.4787 2022/08/10 03:45:38 - mmengine - INFO - Epoch(train) [98][1520/1879] lr: 2.0000e-04 eta: 0:43:21 time: 0.7074 data_time: 0.0193 memory: 13723 grad_norm: 5.1334 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6351 loss: 0.6351 2022/08/10 03:45:50 - mmengine - INFO - Epoch(train) [98][1540/1879] lr: 2.0000e-04 eta: 0:43:08 time: 0.6085 data_time: 0.0216 memory: 13723 grad_norm: 5.0372 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4828 loss: 0.4828 2022/08/10 03:46:02 - mmengine - INFO - Epoch(train) [98][1560/1879] lr: 2.0000e-04 eta: 0:42:55 time: 0.6257 data_time: 0.0232 memory: 13723 grad_norm: 5.1414 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5431 loss: 0.5431 2022/08/10 03:46:16 - mmengine - INFO - Epoch(train) [98][1580/1879] lr: 2.0000e-04 eta: 0:42:43 time: 0.7045 data_time: 0.0213 memory: 13723 grad_norm: 4.8843 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5936 loss: 0.5936 2022/08/10 03:46:29 - mmengine - INFO - Epoch(train) [98][1600/1879] lr: 2.0000e-04 eta: 0:42:30 time: 0.6423 data_time: 0.0231 memory: 13723 grad_norm: 4.7854 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4878 loss: 0.4878 2022/08/10 03:46:41 - mmengine - INFO - Epoch(train) [98][1620/1879] lr: 2.0000e-04 eta: 0:42:17 time: 0.5848 data_time: 0.0228 memory: 13723 grad_norm: 4.8527 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6664 loss: 0.6664 2022/08/10 03:46:55 - mmengine - INFO - Epoch(train) [98][1640/1879] lr: 2.0000e-04 eta: 0:42:05 time: 0.6933 data_time: 0.0211 memory: 13723 grad_norm: 4.8738 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5088 loss: 0.5088 2022/08/10 03:47:08 - mmengine - INFO - Epoch(train) [98][1660/1879] lr: 2.0000e-04 eta: 0:41:52 time: 0.6714 data_time: 0.0211 memory: 13723 grad_norm: 4.9340 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5568 loss: 0.5568 2022/08/10 03:47:22 - mmengine - INFO - Epoch(train) [98][1680/1879] lr: 2.0000e-04 eta: 0:41:40 time: 0.6622 data_time: 0.0213 memory: 13723 grad_norm: 4.9237 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5953 loss: 0.5953 2022/08/10 03:47:37 - mmengine - INFO - Epoch(train) [98][1700/1879] lr: 2.0000e-04 eta: 0:41:27 time: 0.7969 data_time: 0.0219 memory: 13723 grad_norm: 4.9689 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5758 loss: 0.5758 2022/08/10 03:47:49 - mmengine - INFO - Epoch(train) [98][1720/1879] lr: 2.0000e-04 eta: 0:41:14 time: 0.5706 data_time: 0.0221 memory: 13723 grad_norm: 4.8735 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5896 loss: 0.5896 2022/08/10 03:48:03 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 03:48:06 - mmengine - INFO - Epoch(train) [98][1740/1879] lr: 2.0000e-04 eta: 0:41:02 time: 0.8297 data_time: 0.0207 memory: 13723 grad_norm: 4.8236 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5516 loss: 0.5516 2022/08/10 03:48:19 - mmengine - INFO - Epoch(train) [98][1760/1879] lr: 2.0000e-04 eta: 0:40:49 time: 0.6479 data_time: 0.0201 memory: 13723 grad_norm: 4.8708 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5414 loss: 0.5414 2022/08/10 03:48:32 - mmengine - INFO - Epoch(train) [98][1780/1879] lr: 2.0000e-04 eta: 0:40:37 time: 0.6914 data_time: 0.0216 memory: 13723 grad_norm: 4.9667 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5905 loss: 0.5905 2022/08/10 03:48:44 - mmengine - INFO - Epoch(train) [98][1800/1879] lr: 2.0000e-04 eta: 0:40:24 time: 0.5823 data_time: 0.0254 memory: 13723 grad_norm: 4.8461 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4899 loss: 0.4899 2022/08/10 03:48:58 - mmengine - INFO - Epoch(train) [98][1820/1879] lr: 2.0000e-04 eta: 0:40:11 time: 0.6862 data_time: 0.0211 memory: 13723 grad_norm: 5.0106 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4918 loss: 0.4918 2022/08/10 03:49:13 - mmengine - INFO - Epoch(train) [98][1840/1879] lr: 2.0000e-04 eta: 0:39:59 time: 0.7747 data_time: 0.0199 memory: 13723 grad_norm: 4.8963 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6751 loss: 0.6751 2022/08/10 03:49:25 - mmengine - INFO - Epoch(train) [98][1860/1879] lr: 2.0000e-04 eta: 0:39:46 time: 0.6015 data_time: 0.0482 memory: 13723 grad_norm: 4.8640 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4819 loss: 0.4819 2022/08/10 03:49:36 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 03:49:36 - mmengine - INFO - Epoch(train) [98][1879/1879] lr: 2.0000e-04 eta: 0:39:46 time: 0.5409 data_time: 0.0185 memory: 13723 grad_norm: 5.0021 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.6020 loss: 0.6020 2022/08/10 03:49:52 - mmengine - INFO - Epoch(val) [98][20/155] eta: 0:01:50 time: 0.8180 data_time: 0.6789 memory: 1829 2022/08/10 03:50:01 - mmengine - INFO - Epoch(val) [98][40/155] eta: 0:00:50 time: 0.4413 data_time: 0.3043 memory: 1829 2022/08/10 03:50:20 - mmengine - INFO - Epoch(val) [98][60/155] eta: 0:01:28 time: 0.9364 data_time: 0.7953 memory: 1829 2022/08/10 03:50:31 - mmengine - INFO - Epoch(val) [98][80/155] eta: 0:00:41 time: 0.5524 data_time: 0.4154 memory: 1829 2022/08/10 03:50:44 - mmengine - INFO - Epoch(val) [98][100/155] eta: 0:00:36 time: 0.6716 data_time: 0.5325 memory: 1829 2022/08/10 03:50:58 - mmengine - INFO - Epoch(val) [98][120/155] eta: 0:00:24 time: 0.6962 data_time: 0.5601 memory: 1829 2022/08/10 03:51:15 - mmengine - INFO - Epoch(val) [98][140/155] eta: 0:00:12 time: 0.8637 data_time: 0.7249 memory: 1829 2022/08/10 03:51:28 - mmengine - INFO - Epoch(val) [98][155/155] acc/top1: 0.7134 acc/top5: 0.8948 acc/mean1: 0.7133 2022/08/10 03:51:50 - mmengine - INFO - Epoch(train) [99][20/1879] lr: 2.0000e-04 eta: 0:39:21 time: 1.0977 data_time: 0.2977 memory: 13723 grad_norm: 5.0057 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4066 loss: 0.4066 2022/08/10 03:52:08 - mmengine - INFO - Epoch(train) [99][40/1879] lr: 2.0000e-04 eta: 0:39:09 time: 0.9269 data_time: 0.2092 memory: 13723 grad_norm: 5.0051 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5447 loss: 0.5447 2022/08/10 03:52:26 - mmengine - INFO - Epoch(train) [99][60/1879] lr: 2.0000e-04 eta: 0:38:56 time: 0.8565 data_time: 0.0888 memory: 13723 grad_norm: 4.9517 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5533 loss: 0.5533 2022/08/10 03:52:41 - mmengine - INFO - Epoch(train) [99][80/1879] lr: 2.0000e-04 eta: 0:38:44 time: 0.7577 data_time: 0.0185 memory: 13723 grad_norm: 4.8872 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5264 loss: 0.5264 2022/08/10 03:52:55 - mmengine - INFO - Epoch(train) [99][100/1879] lr: 2.0000e-04 eta: 0:38:31 time: 0.7012 data_time: 0.0214 memory: 13723 grad_norm: 4.9436 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5239 loss: 0.5239 2022/08/10 03:53:09 - mmengine - INFO - Epoch(train) [99][120/1879] lr: 2.0000e-04 eta: 0:38:19 time: 0.7265 data_time: 0.0177 memory: 13723 grad_norm: 4.8625 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3742 loss: 0.3742 2022/08/10 03:53:25 - mmengine - INFO - Epoch(train) [99][140/1879] lr: 2.0000e-04 eta: 0:38:06 time: 0.8062 data_time: 0.0203 memory: 13723 grad_norm: 4.9159 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5121 loss: 0.5121 2022/08/10 03:53:43 - mmengine - INFO - Epoch(train) [99][160/1879] lr: 2.0000e-04 eta: 0:37:53 time: 0.8566 data_time: 0.0195 memory: 13723 grad_norm: 4.9027 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6035 loss: 0.6035 2022/08/10 03:54:02 - mmengine - INFO - Epoch(train) [99][180/1879] lr: 2.0000e-04 eta: 0:37:41 time: 0.9863 data_time: 0.0194 memory: 13723 grad_norm: 4.9310 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5586 loss: 0.5586 2022/08/10 03:54:18 - mmengine - INFO - Epoch(train) [99][200/1879] lr: 2.0000e-04 eta: 0:37:28 time: 0.7664 data_time: 0.0169 memory: 13723 grad_norm: 5.0826 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4820 loss: 0.4820 2022/08/10 03:54:34 - mmengine - INFO - Epoch(train) [99][220/1879] lr: 2.0000e-04 eta: 0:37:16 time: 0.8088 data_time: 0.0207 memory: 13723 grad_norm: 4.9167 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6222 loss: 0.6222 2022/08/10 03:54:49 - mmengine - INFO - Epoch(train) [99][240/1879] lr: 2.0000e-04 eta: 0:37:03 time: 0.7525 data_time: 0.0193 memory: 13723 grad_norm: 4.9375 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4923 loss: 0.4923 2022/08/10 03:55:02 - mmengine - INFO - Epoch(train) [99][260/1879] lr: 2.0000e-04 eta: 0:36:51 time: 0.6644 data_time: 0.0177 memory: 13723 grad_norm: 4.8983 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4928 loss: 0.4928 2022/08/10 03:55:23 - mmengine - INFO - Epoch(train) [99][280/1879] lr: 2.0000e-04 eta: 0:36:38 time: 1.0161 data_time: 0.0184 memory: 13723 grad_norm: 5.1162 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5924 loss: 0.5924 2022/08/10 03:55:43 - mmengine - INFO - Epoch(train) [99][300/1879] lr: 2.0000e-04 eta: 0:36:26 time: 1.0018 data_time: 0.0225 memory: 13723 grad_norm: 4.9020 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5298 loss: 0.5298 2022/08/10 03:56:01 - mmengine - INFO - Epoch(train) [99][320/1879] lr: 2.0000e-04 eta: 0:36:13 time: 0.8942 data_time: 0.0168 memory: 13723 grad_norm: 5.0948 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6967 loss: 0.6967 2022/08/10 03:56:24 - mmengine - INFO - Epoch(train) [99][340/1879] lr: 2.0000e-04 eta: 0:36:01 time: 1.1615 data_time: 0.0171 memory: 13723 grad_norm: 5.0446 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5536 loss: 0.5536 2022/08/10 03:56:37 - mmengine - INFO - Epoch(train) [99][360/1879] lr: 2.0000e-04 eta: 0:35:48 time: 0.6505 data_time: 0.0198 memory: 13723 grad_norm: 4.9450 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5586 loss: 0.5586 2022/08/10 03:56:55 - mmengine - INFO - Epoch(train) [99][380/1879] lr: 2.0000e-04 eta: 0:35:35 time: 0.9065 data_time: 0.0192 memory: 13723 grad_norm: 4.9782 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5366 loss: 0.5366 2022/08/10 03:57:13 - mmengine - INFO - Epoch(train) [99][400/1879] lr: 2.0000e-04 eta: 0:35:23 time: 0.8776 data_time: 0.0200 memory: 13723 grad_norm: 4.9478 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6601 loss: 0.6601 2022/08/10 03:57:28 - mmengine - INFO - Epoch(train) [99][420/1879] lr: 2.0000e-04 eta: 0:35:10 time: 0.7869 data_time: 0.0200 memory: 13723 grad_norm: 4.9497 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5455 loss: 0.5455 2022/08/10 03:57:45 - mmengine - INFO - Epoch(train) [99][440/1879] lr: 2.0000e-04 eta: 0:34:58 time: 0.8404 data_time: 0.0192 memory: 13723 grad_norm: 5.0026 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5728 loss: 0.5728 2022/08/10 03:58:00 - mmengine - INFO - Epoch(train) [99][460/1879] lr: 2.0000e-04 eta: 0:34:45 time: 0.7522 data_time: 0.0208 memory: 13723 grad_norm: 5.0126 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.5781 loss: 0.5781 2022/08/10 03:58:15 - mmengine - INFO - Epoch(train) [99][480/1879] lr: 2.0000e-04 eta: 0:34:32 time: 0.7191 data_time: 0.0187 memory: 13723 grad_norm: 5.0414 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4665 loss: 0.4665 2022/08/10 03:58:36 - mmengine - INFO - Epoch(train) [99][500/1879] lr: 2.0000e-04 eta: 0:34:20 time: 1.0712 data_time: 0.0214 memory: 13723 grad_norm: 4.8434 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5605 loss: 0.5605 2022/08/10 03:58:51 - mmengine - INFO - Epoch(train) [99][520/1879] lr: 2.0000e-04 eta: 0:34:07 time: 0.7596 data_time: 0.2021 memory: 13723 grad_norm: 4.8860 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4776 loss: 0.4776 2022/08/10 03:59:06 - mmengine - INFO - Epoch(train) [99][540/1879] lr: 2.0000e-04 eta: 0:33:55 time: 0.7236 data_time: 0.0200 memory: 13723 grad_norm: 4.9583 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5439 loss: 0.5439 2022/08/10 03:59:23 - mmengine - INFO - Epoch(train) [99][560/1879] lr: 2.0000e-04 eta: 0:33:42 time: 0.8721 data_time: 0.0173 memory: 13723 grad_norm: 4.8225 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5769 loss: 0.5769 2022/08/10 03:59:38 - mmengine - INFO - Epoch(train) [99][580/1879] lr: 2.0000e-04 eta: 0:33:30 time: 0.7624 data_time: 0.0220 memory: 13723 grad_norm: 4.8964 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4903 loss: 0.4903 2022/08/10 03:59:54 - mmengine - INFO - Epoch(train) [99][600/1879] lr: 2.0000e-04 eta: 0:33:17 time: 0.7646 data_time: 0.0172 memory: 13723 grad_norm: 4.8652 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5000 loss: 0.5000 2022/08/10 04:00:15 - mmengine - INFO - Epoch(train) [99][620/1879] lr: 2.0000e-04 eta: 0:33:04 time: 1.0388 data_time: 0.0326 memory: 13723 grad_norm: 4.9284 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5348 loss: 0.5348 2022/08/10 04:00:31 - mmengine - INFO - Epoch(train) [99][640/1879] lr: 2.0000e-04 eta: 0:32:52 time: 0.8035 data_time: 0.1247 memory: 13723 grad_norm: 5.0102 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6129 loss: 0.6129 2022/08/10 04:00:44 - mmengine - INFO - Epoch(train) [99][660/1879] lr: 2.0000e-04 eta: 0:32:39 time: 0.6798 data_time: 0.0687 memory: 13723 grad_norm: 4.9142 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5629 loss: 0.5629 2022/08/10 04:01:03 - mmengine - INFO - Epoch(train) [99][680/1879] lr: 2.0000e-04 eta: 0:32:27 time: 0.9378 data_time: 0.0169 memory: 13723 grad_norm: 5.1089 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5551 loss: 0.5551 2022/08/10 04:01:26 - mmengine - INFO - Epoch(train) [99][700/1879] lr: 2.0000e-04 eta: 0:32:14 time: 1.1710 data_time: 0.0219 memory: 13723 grad_norm: 4.8272 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5566 loss: 0.5566 2022/08/10 04:01:44 - mmengine - INFO - Epoch(train) [99][720/1879] lr: 2.0000e-04 eta: 0:32:02 time: 0.8748 data_time: 0.0200 memory: 13723 grad_norm: 4.9820 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5487 loss: 0.5487 2022/08/10 04:02:04 - mmengine - INFO - Epoch(train) [99][740/1879] lr: 2.0000e-04 eta: 0:31:49 time: 1.0229 data_time: 0.0235 memory: 13723 grad_norm: 4.9109 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5552 loss: 0.5552 2022/08/10 04:02:19 - mmengine - INFO - Epoch(train) [99][760/1879] lr: 2.0000e-04 eta: 0:31:36 time: 0.7286 data_time: 0.0353 memory: 13723 grad_norm: 4.9549 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5366 loss: 0.5366 2022/08/10 04:02:33 - mmengine - INFO - Epoch(train) [99][780/1879] lr: 2.0000e-04 eta: 0:31:24 time: 0.7040 data_time: 0.0505 memory: 13723 grad_norm: 5.0882 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5471 loss: 0.5471 2022/08/10 04:02:49 - mmengine - INFO - Epoch(train) [99][800/1879] lr: 2.0000e-04 eta: 0:31:11 time: 0.7726 data_time: 0.2217 memory: 13723 grad_norm: 4.8806 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5671 loss: 0.5671 2022/08/10 04:03:03 - mmengine - INFO - Epoch(train) [99][820/1879] lr: 2.0000e-04 eta: 0:30:59 time: 0.7365 data_time: 0.1927 memory: 13723 grad_norm: 5.2360 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6072 loss: 0.6072 2022/08/10 04:03:25 - mmengine - INFO - Epoch(train) [99][840/1879] lr: 2.0000e-04 eta: 0:30:46 time: 1.0915 data_time: 0.5408 memory: 13723 grad_norm: 4.9966 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5481 loss: 0.5481 2022/08/10 04:03:41 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 04:03:42 - mmengine - INFO - Epoch(train) [99][860/1879] lr: 2.0000e-04 eta: 0:30:33 time: 0.8444 data_time: 0.0517 memory: 13723 grad_norm: 5.0007 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5300 loss: 0.5300 2022/08/10 04:03:54 - mmengine - INFO - Epoch(train) [99][880/1879] lr: 2.0000e-04 eta: 0:30:21 time: 0.6158 data_time: 0.0215 memory: 13723 grad_norm: 4.7792 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6633 loss: 0.6633 2022/08/10 04:04:10 - mmengine - INFO - Epoch(train) [99][900/1879] lr: 2.0000e-04 eta: 0:30:08 time: 0.7939 data_time: 0.0204 memory: 13723 grad_norm: 4.8655 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5002 loss: 0.5002 2022/08/10 04:04:27 - mmengine - INFO - Epoch(train) [99][920/1879] lr: 2.0000e-04 eta: 0:29:56 time: 0.8084 data_time: 0.0175 memory: 13723 grad_norm: 5.0330 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6288 loss: 0.6288 2022/08/10 04:04:45 - mmengine - INFO - Epoch(train) [99][940/1879] lr: 2.0000e-04 eta: 0:29:43 time: 0.9013 data_time: 0.0239 memory: 13723 grad_norm: 4.9543 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5257 loss: 0.5257 2022/08/10 04:05:12 - mmengine - INFO - Epoch(train) [99][960/1879] lr: 2.0000e-04 eta: 0:29:31 time: 1.3908 data_time: 0.0154 memory: 13723 grad_norm: 4.7974 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5935 loss: 0.5935 2022/08/10 04:05:38 - mmengine - INFO - Epoch(train) [99][980/1879] lr: 2.0000e-04 eta: 0:29:18 time: 1.2942 data_time: 0.0192 memory: 13723 grad_norm: 4.9680 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5471 loss: 0.5471 2022/08/10 04:05:55 - mmengine - INFO - Epoch(train) [99][1000/1879] lr: 2.0000e-04 eta: 0:29:06 time: 0.8411 data_time: 0.0196 memory: 13723 grad_norm: 4.8557 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4032 loss: 0.4032 2022/08/10 04:06:12 - mmengine - INFO - Epoch(train) [99][1020/1879] lr: 2.0000e-04 eta: 0:28:53 time: 0.8395 data_time: 0.0209 memory: 13723 grad_norm: 5.0143 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6099 loss: 0.6099 2022/08/10 04:06:26 - mmengine - INFO - Epoch(train) [99][1040/1879] lr: 2.0000e-04 eta: 0:28:40 time: 0.6923 data_time: 0.0177 memory: 13723 grad_norm: 5.1068 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5595 loss: 0.5595 2022/08/10 04:06:42 - mmengine - INFO - Epoch(train) [99][1060/1879] lr: 2.0000e-04 eta: 0:28:28 time: 0.8248 data_time: 0.0211 memory: 13723 grad_norm: 4.8491 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5558 loss: 0.5558 2022/08/10 04:06:58 - mmengine - INFO - Epoch(train) [99][1080/1879] lr: 2.0000e-04 eta: 0:28:15 time: 0.7807 data_time: 0.0170 memory: 13723 grad_norm: 4.8348 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6473 loss: 0.6473 2022/08/10 04:07:16 - mmengine - INFO - Epoch(train) [99][1100/1879] lr: 2.0000e-04 eta: 0:28:02 time: 0.9014 data_time: 0.0194 memory: 13723 grad_norm: 4.9499 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6679 loss: 0.6679 2022/08/10 04:07:31 - mmengine - INFO - Epoch(train) [99][1120/1879] lr: 2.0000e-04 eta: 0:27:50 time: 0.7556 data_time: 0.0214 memory: 13723 grad_norm: 5.0354 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6202 loss: 0.6202 2022/08/10 04:07:45 - mmengine - INFO - Epoch(train) [99][1140/1879] lr: 2.0000e-04 eta: 0:27:37 time: 0.6988 data_time: 0.0193 memory: 13723 grad_norm: 4.8011 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5206 loss: 0.5206 2022/08/10 04:08:00 - mmengine - INFO - Epoch(train) [99][1160/1879] lr: 2.0000e-04 eta: 0:27:25 time: 0.7470 data_time: 0.0203 memory: 13723 grad_norm: 5.0766 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6088 loss: 0.6088 2022/08/10 04:08:15 - mmengine - INFO - Epoch(train) [99][1180/1879] lr: 2.0000e-04 eta: 0:27:12 time: 0.7588 data_time: 0.0211 memory: 13723 grad_norm: 4.9829 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6843 loss: 0.6843 2022/08/10 04:08:31 - mmengine - INFO - Epoch(train) [99][1200/1879] lr: 2.0000e-04 eta: 0:26:59 time: 0.8035 data_time: 0.0201 memory: 13723 grad_norm: 4.9040 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5459 loss: 0.5459 2022/08/10 04:08:47 - mmengine - INFO - Epoch(train) [99][1220/1879] lr: 2.0000e-04 eta: 0:26:47 time: 0.7800 data_time: 0.0185 memory: 13723 grad_norm: 4.8577 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4558 loss: 0.4558 2022/08/10 04:09:03 - mmengine - INFO - Epoch(train) [99][1240/1879] lr: 2.0000e-04 eta: 0:26:34 time: 0.8065 data_time: 0.0209 memory: 13723 grad_norm: 4.9117 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6196 loss: 0.6196 2022/08/10 04:09:16 - mmengine - INFO - Epoch(train) [99][1260/1879] lr: 2.0000e-04 eta: 0:26:21 time: 0.6352 data_time: 0.0196 memory: 13723 grad_norm: 4.8804 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6367 loss: 0.6367 2022/08/10 04:09:34 - mmengine - INFO - Epoch(train) [99][1280/1879] lr: 2.0000e-04 eta: 0:26:09 time: 0.8811 data_time: 0.0217 memory: 13723 grad_norm: 5.0148 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4476 loss: 0.4476 2022/08/10 04:09:48 - mmengine - INFO - Epoch(train) [99][1300/1879] lr: 2.0000e-04 eta: 0:25:56 time: 0.7180 data_time: 0.0181 memory: 13723 grad_norm: 5.0354 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6076 loss: 0.6076 2022/08/10 04:10:07 - mmengine - INFO - Epoch(train) [99][1320/1879] lr: 2.0000e-04 eta: 0:25:44 time: 0.9536 data_time: 0.0189 memory: 13723 grad_norm: 5.1043 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5772 loss: 0.5772 2022/08/10 04:10:25 - mmengine - INFO - Epoch(train) [99][1340/1879] lr: 2.0000e-04 eta: 0:25:31 time: 0.9085 data_time: 0.0465 memory: 13723 grad_norm: 4.8976 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5618 loss: 0.5618 2022/08/10 04:10:41 - mmengine - INFO - Epoch(train) [99][1360/1879] lr: 2.0000e-04 eta: 0:25:18 time: 0.8087 data_time: 0.0176 memory: 13723 grad_norm: 5.0402 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6464 loss: 0.6464 2022/08/10 04:11:03 - mmengine - INFO - Epoch(train) [99][1380/1879] lr: 2.0000e-04 eta: 0:25:06 time: 1.0767 data_time: 0.0213 memory: 13723 grad_norm: 5.0850 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5509 loss: 0.5509 2022/08/10 04:11:16 - mmengine - INFO - Epoch(train) [99][1400/1879] lr: 2.0000e-04 eta: 0:24:53 time: 0.6783 data_time: 0.0215 memory: 13723 grad_norm: 4.8497 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.4694 loss: 0.4694 2022/08/10 04:11:34 - mmengine - INFO - Epoch(train) [99][1420/1879] lr: 2.0000e-04 eta: 0:24:41 time: 0.8555 data_time: 0.0198 memory: 13723 grad_norm: 5.1153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6332 loss: 0.6332 2022/08/10 04:11:48 - mmengine - INFO - Epoch(train) [99][1440/1879] lr: 2.0000e-04 eta: 0:24:28 time: 0.7282 data_time: 0.0461 memory: 13723 grad_norm: 4.8599 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5695 loss: 0.5695 2022/08/10 04:12:02 - mmengine - INFO - Epoch(train) [99][1460/1879] lr: 2.0000e-04 eta: 0:24:15 time: 0.6894 data_time: 0.0217 memory: 13723 grad_norm: 5.0135 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5945 loss: 0.5945 2022/08/10 04:12:17 - mmengine - INFO - Epoch(train) [99][1480/1879] lr: 2.0000e-04 eta: 0:24:03 time: 0.7721 data_time: 0.1564 memory: 13723 grad_norm: 4.8331 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6041 loss: 0.6041 2022/08/10 04:12:34 - mmengine - INFO - Epoch(train) [99][1500/1879] lr: 2.0000e-04 eta: 0:23:50 time: 0.8289 data_time: 0.2752 memory: 13723 grad_norm: 4.8662 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5955 loss: 0.5955 2022/08/10 04:12:53 - mmengine - INFO - Epoch(train) [99][1520/1879] lr: 2.0000e-04 eta: 0:23:37 time: 0.9674 data_time: 0.4125 memory: 13723 grad_norm: 4.9325 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5754 loss: 0.5754 2022/08/10 04:13:08 - mmengine - INFO - Epoch(train) [99][1540/1879] lr: 2.0000e-04 eta: 0:23:25 time: 0.7048 data_time: 0.0176 memory: 13723 grad_norm: 4.8228 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.6324 loss: 0.6324 2022/08/10 04:13:22 - mmengine - INFO - Epoch(train) [99][1560/1879] lr: 2.0000e-04 eta: 0:23:12 time: 0.7465 data_time: 0.0203 memory: 13723 grad_norm: 4.6907 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4584 loss: 0.4584 2022/08/10 04:13:40 - mmengine - INFO - Epoch(train) [99][1580/1879] lr: 2.0000e-04 eta: 0:22:59 time: 0.8542 data_time: 0.0205 memory: 13723 grad_norm: 4.9749 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4871 loss: 0.4871 2022/08/10 04:13:54 - mmengine - INFO - Epoch(train) [99][1600/1879] lr: 2.0000e-04 eta: 0:22:47 time: 0.7104 data_time: 0.0280 memory: 13723 grad_norm: 4.9602 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5481 loss: 0.5481 2022/08/10 04:14:08 - mmengine - INFO - Epoch(train) [99][1620/1879] lr: 2.0000e-04 eta: 0:22:34 time: 0.7157 data_time: 0.0189 memory: 13723 grad_norm: 4.9573 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5401 loss: 0.5401 2022/08/10 04:14:26 - mmengine - INFO - Epoch(train) [99][1640/1879] lr: 2.0000e-04 eta: 0:22:22 time: 0.9116 data_time: 0.0192 memory: 13723 grad_norm: 5.0444 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5130 loss: 0.5130 2022/08/10 04:14:39 - mmengine - INFO - Epoch(train) [99][1660/1879] lr: 2.0000e-04 eta: 0:22:09 time: 0.6247 data_time: 0.0218 memory: 13723 grad_norm: 5.2164 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6692 loss: 0.6692 2022/08/10 04:14:54 - mmengine - INFO - Epoch(train) [99][1680/1879] lr: 2.0000e-04 eta: 0:21:56 time: 0.7565 data_time: 0.0194 memory: 13723 grad_norm: 4.9559 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5298 loss: 0.5298 2022/08/10 04:15:11 - mmengine - INFO - Epoch(train) [99][1700/1879] lr: 2.0000e-04 eta: 0:21:44 time: 0.8222 data_time: 0.0196 memory: 13723 grad_norm: 4.9912 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5775 loss: 0.5775 2022/08/10 04:15:25 - mmengine - INFO - Epoch(train) [99][1720/1879] lr: 2.0000e-04 eta: 0:21:31 time: 0.7021 data_time: 0.0208 memory: 13723 grad_norm: 4.9820 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5650 loss: 0.5650 2022/08/10 04:15:42 - mmengine - INFO - Epoch(train) [99][1740/1879] lr: 2.0000e-04 eta: 0:21:18 time: 0.8661 data_time: 0.0178 memory: 13723 grad_norm: 5.0693 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5261 loss: 0.5261 2022/08/10 04:15:58 - mmengine - INFO - Epoch(train) [99][1760/1879] lr: 2.0000e-04 eta: 0:21:06 time: 0.8263 data_time: 0.0215 memory: 13723 grad_norm: 4.8920 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5349 loss: 0.5349 2022/08/10 04:16:15 - mmengine - INFO - Epoch(train) [99][1780/1879] lr: 2.0000e-04 eta: 0:20:53 time: 0.8100 data_time: 0.0202 memory: 13723 grad_norm: 5.0377 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6030 loss: 0.6030 2022/08/10 04:16:29 - mmengine - INFO - Epoch(train) [99][1800/1879] lr: 2.0000e-04 eta: 0:20:40 time: 0.7019 data_time: 0.0201 memory: 13723 grad_norm: 4.8781 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6535 loss: 0.6535 2022/08/10 04:16:46 - mmengine - INFO - Epoch(train) [99][1820/1879] lr: 2.0000e-04 eta: 0:20:28 time: 0.8438 data_time: 0.0186 memory: 13723 grad_norm: 4.9584 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6387 loss: 0.6387 2022/08/10 04:16:58 - mmengine - INFO - Epoch(train) [99][1840/1879] lr: 2.0000e-04 eta: 0:20:15 time: 0.5933 data_time: 0.0256 memory: 13723 grad_norm: 4.8430 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6670 loss: 0.6670 2022/08/10 04:17:13 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 04:17:14 - mmengine - INFO - Epoch(train) [99][1860/1879] lr: 2.0000e-04 eta: 0:20:02 time: 0.8444 data_time: 0.0170 memory: 13723 grad_norm: 5.1251 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5423 loss: 0.5423 2022/08/10 04:17:28 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 04:17:28 - mmengine - INFO - Epoch(train) [99][1879/1879] lr: 2.0000e-04 eta: 0:20:02 time: 0.6849 data_time: 0.0195 memory: 13723 grad_norm: 4.9420 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5727 loss: 0.5727 2022/08/10 04:17:28 - mmengine - INFO - Saving checkpoint at 99 epochs 2022/08/10 04:17:49 - mmengine - INFO - Epoch(val) [99][20/155] eta: 0:02:09 time: 0.9569 data_time: 0.8200 memory: 1829 2022/08/10 04:18:00 - mmengine - INFO - Epoch(val) [99][40/155] eta: 0:01:02 time: 0.5438 data_time: 0.3843 memory: 1829 2022/08/10 04:18:12 - mmengine - INFO - Epoch(val) [99][60/155] eta: 0:00:59 time: 0.6247 data_time: 0.4853 memory: 1829 2022/08/10 04:18:33 - mmengine - INFO - Epoch(val) [99][80/155] eta: 0:01:19 time: 1.0567 data_time: 0.9207 memory: 1829 2022/08/10 04:18:45 - mmengine - INFO - Epoch(val) [99][100/155] eta: 0:00:31 time: 0.5735 data_time: 0.4386 memory: 1829 2022/08/10 04:19:06 - mmengine - INFO - Epoch(val) [99][120/155] eta: 0:00:37 time: 1.0711 data_time: 0.9333 memory: 1829 2022/08/10 04:19:22 - mmengine - INFO - Epoch(val) [99][140/155] eta: 0:00:11 time: 0.7609 data_time: 0.6273 memory: 1829 2022/08/10 04:19:43 - mmengine - INFO - Epoch(val) [99][155/155] acc/top1: 0.7136 acc/top5: 0.8945 acc/mean1: 0.7135 2022/08/10 04:20:10 - mmengine - INFO - Epoch(train) [100][20/1879] lr: 2.0000e-04 eta: 0:19:38 time: 1.3771 data_time: 0.1654 memory: 13723 grad_norm: 4.8941 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.4644 loss: 0.4644 2022/08/10 04:20:26 - mmengine - INFO - Epoch(train) [100][40/1879] lr: 2.0000e-04 eta: 0:19:25 time: 0.7651 data_time: 0.0211 memory: 13723 grad_norm: 4.9043 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5637 loss: 0.5637 2022/08/10 04:20:40 - mmengine - INFO - Epoch(train) [100][60/1879] lr: 2.0000e-04 eta: 0:19:12 time: 0.7333 data_time: 0.0179 memory: 13723 grad_norm: 4.9294 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.5164 loss: 0.5164 2022/08/10 04:20:55 - mmengine - INFO - Epoch(train) [100][80/1879] lr: 2.0000e-04 eta: 0:19:00 time: 0.7438 data_time: 0.0230 memory: 13723 grad_norm: 5.0087 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5338 loss: 0.5338 2022/08/10 04:21:10 - mmengine - INFO - Epoch(train) [100][100/1879] lr: 2.0000e-04 eta: 0:18:47 time: 0.7399 data_time: 0.0919 memory: 13723 grad_norm: 5.0687 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6795 loss: 0.6795 2022/08/10 04:21:27 - mmengine - INFO - Epoch(train) [100][120/1879] lr: 2.0000e-04 eta: 0:18:34 time: 0.8169 data_time: 0.0795 memory: 13723 grad_norm: 4.7441 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4964 loss: 0.4964 2022/08/10 04:21:51 - mmengine - INFO - Epoch(train) [100][140/1879] lr: 2.0000e-04 eta: 0:18:22 time: 1.2107 data_time: 0.2703 memory: 13723 grad_norm: 4.9538 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5412 loss: 0.5412 2022/08/10 04:22:04 - mmengine - INFO - Epoch(train) [100][160/1879] lr: 2.0000e-04 eta: 0:18:09 time: 0.6652 data_time: 0.0191 memory: 13723 grad_norm: 4.9834 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6053 loss: 0.6053 2022/08/10 04:22:19 - mmengine - INFO - Epoch(train) [100][180/1879] lr: 2.0000e-04 eta: 0:17:57 time: 0.7687 data_time: 0.0190 memory: 13723 grad_norm: 4.8825 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6043 loss: 0.6043 2022/08/10 04:22:43 - mmengine - INFO - Epoch(train) [100][200/1879] lr: 2.0000e-04 eta: 0:17:44 time: 1.1943 data_time: 0.0848 memory: 13723 grad_norm: 4.9340 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7227 loss: 0.7227 2022/08/10 04:22:58 - mmengine - INFO - Epoch(train) [100][220/1879] lr: 2.0000e-04 eta: 0:17:31 time: 0.7302 data_time: 0.0186 memory: 13723 grad_norm: 4.8680 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6002 loss: 0.6002 2022/08/10 04:23:19 - mmengine - INFO - Epoch(train) [100][240/1879] lr: 2.0000e-04 eta: 0:17:19 time: 1.0663 data_time: 0.0211 memory: 13723 grad_norm: 5.1116 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5452 loss: 0.5452 2022/08/10 04:23:37 - mmengine - INFO - Epoch(train) [100][260/1879] lr: 2.0000e-04 eta: 0:17:06 time: 0.8795 data_time: 0.0268 memory: 13723 grad_norm: 5.1155 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6134 loss: 0.6134 2022/08/10 04:23:56 - mmengine - INFO - Epoch(train) [100][280/1879] lr: 2.0000e-04 eta: 0:16:53 time: 0.9528 data_time: 0.0317 memory: 13723 grad_norm: 4.9397 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6397 loss: 0.6397 2022/08/10 04:24:15 - mmengine - INFO - Epoch(train) [100][300/1879] lr: 2.0000e-04 eta: 0:16:41 time: 0.9336 data_time: 0.0196 memory: 13723 grad_norm: 4.9907 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.6027 loss: 0.6027 2022/08/10 04:24:30 - mmengine - INFO - Epoch(train) [100][320/1879] lr: 2.0000e-04 eta: 0:16:28 time: 0.7896 data_time: 0.0216 memory: 13723 grad_norm: 5.1359 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.5940 loss: 0.5940 2022/08/10 04:24:46 - mmengine - INFO - Epoch(train) [100][340/1879] lr: 2.0000e-04 eta: 0:16:16 time: 0.7507 data_time: 0.0178 memory: 13723 grad_norm: 5.0805 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6614 loss: 0.6614 2022/08/10 04:24:59 - mmengine - INFO - Epoch(train) [100][360/1879] lr: 2.0000e-04 eta: 0:16:03 time: 0.6847 data_time: 0.0224 memory: 13723 grad_norm: 5.0340 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5109 loss: 0.5109 2022/08/10 04:25:16 - mmengine - INFO - Epoch(train) [100][380/1879] lr: 2.0000e-04 eta: 0:15:50 time: 0.8228 data_time: 0.0182 memory: 13723 grad_norm: 4.8991 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4607 loss: 0.4607 2022/08/10 04:25:34 - mmengine - INFO - Epoch(train) [100][400/1879] lr: 2.0000e-04 eta: 0:15:38 time: 0.8884 data_time: 0.0220 memory: 13723 grad_norm: 5.0318 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6384 loss: 0.6384 2022/08/10 04:25:51 - mmengine - INFO - Epoch(train) [100][420/1879] lr: 2.0000e-04 eta: 0:15:25 time: 0.8492 data_time: 0.0210 memory: 13723 grad_norm: 4.9225 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5296 loss: 0.5296 2022/08/10 04:26:08 - mmengine - INFO - Epoch(train) [100][440/1879] lr: 2.0000e-04 eta: 0:15:12 time: 0.8906 data_time: 0.0197 memory: 13723 grad_norm: 5.1621 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6776 loss: 0.6776 2022/08/10 04:26:27 - mmengine - INFO - Epoch(train) [100][460/1879] lr: 2.0000e-04 eta: 0:15:00 time: 0.9432 data_time: 0.0195 memory: 13723 grad_norm: 5.0493 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4720 loss: 0.4720 2022/08/10 04:26:41 - mmengine - INFO - Epoch(train) [100][480/1879] lr: 2.0000e-04 eta: 0:14:47 time: 0.7097 data_time: 0.0233 memory: 13723 grad_norm: 5.0197 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6792 loss: 0.6792 2022/08/10 04:27:03 - mmengine - INFO - Epoch(train) [100][500/1879] lr: 2.0000e-04 eta: 0:14:34 time: 1.0821 data_time: 0.0180 memory: 13723 grad_norm: 4.8760 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5702 loss: 0.5702 2022/08/10 04:27:20 - mmengine - INFO - Epoch(train) [100][520/1879] lr: 2.0000e-04 eta: 0:14:22 time: 0.8504 data_time: 0.0208 memory: 13723 grad_norm: 4.9267 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5337 loss: 0.5337 2022/08/10 04:27:43 - mmengine - INFO - Epoch(train) [100][540/1879] lr: 2.0000e-04 eta: 0:14:09 time: 1.1473 data_time: 0.0190 memory: 13723 grad_norm: 5.0667 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6671 loss: 0.6671 2022/08/10 04:27:56 - mmengine - INFO - Epoch(train) [100][560/1879] lr: 2.0000e-04 eta: 0:13:56 time: 0.6637 data_time: 0.0230 memory: 13723 grad_norm: 4.9192 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4919 loss: 0.4919 2022/08/10 04:28:18 - mmengine - INFO - Epoch(train) [100][580/1879] lr: 2.0000e-04 eta: 0:13:44 time: 1.0710 data_time: 0.1786 memory: 13723 grad_norm: 4.8663 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4748 loss: 0.4748 2022/08/10 04:28:31 - mmengine - INFO - Epoch(train) [100][600/1879] lr: 2.0000e-04 eta: 0:13:31 time: 0.6543 data_time: 0.0199 memory: 13723 grad_norm: 5.0343 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5439 loss: 0.5439 2022/08/10 04:28:48 - mmengine - INFO - Epoch(train) [100][620/1879] lr: 2.0000e-04 eta: 0:13:18 time: 0.8720 data_time: 0.0171 memory: 13723 grad_norm: 4.9377 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4345 loss: 0.4345 2022/08/10 04:29:04 - mmengine - INFO - Epoch(train) [100][640/1879] lr: 2.0000e-04 eta: 0:13:06 time: 0.7633 data_time: 0.0245 memory: 13723 grad_norm: 5.0680 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6183 loss: 0.6183 2022/08/10 04:29:21 - mmengine - INFO - Epoch(train) [100][660/1879] lr: 2.0000e-04 eta: 0:12:53 time: 0.8630 data_time: 0.0203 memory: 13723 grad_norm: 4.9325 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3978 loss: 0.3978 2022/08/10 04:29:40 - mmengine - INFO - Epoch(train) [100][680/1879] lr: 2.0000e-04 eta: 0:12:40 time: 0.9301 data_time: 0.0229 memory: 13723 grad_norm: 5.0262 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7642 loss: 0.7642 2022/08/10 04:30:03 - mmengine - INFO - Epoch(train) [100][700/1879] lr: 2.0000e-04 eta: 0:12:28 time: 1.1930 data_time: 0.0158 memory: 13723 grad_norm: 5.0834 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6606 loss: 0.6606 2022/08/10 04:30:18 - mmengine - INFO - Epoch(train) [100][720/1879] lr: 2.0000e-04 eta: 0:12:15 time: 0.7395 data_time: 0.0297 memory: 13723 grad_norm: 4.7606 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5267 loss: 0.5267 2022/08/10 04:30:35 - mmengine - INFO - Epoch(train) [100][740/1879] lr: 2.0000e-04 eta: 0:12:02 time: 0.8589 data_time: 0.0193 memory: 13723 grad_norm: 4.8368 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5315 loss: 0.5315 2022/08/10 04:30:50 - mmengine - INFO - Epoch(train) [100][760/1879] lr: 2.0000e-04 eta: 0:11:50 time: 0.7204 data_time: 0.0197 memory: 13723 grad_norm: 4.9347 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5103 loss: 0.5103 2022/08/10 04:31:05 - mmengine - INFO - Epoch(train) [100][780/1879] lr: 2.0000e-04 eta: 0:11:37 time: 0.7777 data_time: 0.0243 memory: 13723 grad_norm: 5.0323 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5100 loss: 0.5100 2022/08/10 04:31:20 - mmengine - INFO - Epoch(train) [100][800/1879] lr: 2.0000e-04 eta: 0:11:24 time: 0.7116 data_time: 0.0212 memory: 13723 grad_norm: 4.8589 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5943 loss: 0.5943 2022/08/10 04:31:35 - mmengine - INFO - Epoch(train) [100][820/1879] lr: 2.0000e-04 eta: 0:11:12 time: 0.7454 data_time: 0.0212 memory: 13723 grad_norm: 4.9157 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6688 loss: 0.6688 2022/08/10 04:31:51 - mmengine - INFO - Epoch(train) [100][840/1879] lr: 2.0000e-04 eta: 0:10:59 time: 0.8401 data_time: 0.0221 memory: 13723 grad_norm: 5.0196 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5619 loss: 0.5619 2022/08/10 04:32:04 - mmengine - INFO - Epoch(train) [100][860/1879] lr: 2.0000e-04 eta: 0:10:46 time: 0.6332 data_time: 0.0216 memory: 13723 grad_norm: 4.7869 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5784 loss: 0.5784 2022/08/10 04:32:22 - mmengine - INFO - Epoch(train) [100][880/1879] lr: 2.0000e-04 eta: 0:10:34 time: 0.8717 data_time: 0.0419 memory: 13723 grad_norm: 4.9671 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4462 loss: 0.4462 2022/08/10 04:32:37 - mmengine - INFO - Epoch(train) [100][900/1879] lr: 2.0000e-04 eta: 0:10:21 time: 0.7538 data_time: 0.0195 memory: 13723 grad_norm: 4.7275 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5235 loss: 0.5235 2022/08/10 04:32:52 - mmengine - INFO - Epoch(train) [100][920/1879] lr: 2.0000e-04 eta: 0:10:08 time: 0.7765 data_time: 0.0188 memory: 13723 grad_norm: 4.7882 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4353 loss: 0.4353 2022/08/10 04:33:10 - mmengine - INFO - Epoch(train) [100][940/1879] lr: 2.0000e-04 eta: 0:09:56 time: 0.8821 data_time: 0.0188 memory: 13723 grad_norm: 5.0291 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6202 loss: 0.6202 2022/08/10 04:33:28 - mmengine - INFO - Epoch(train) [100][960/1879] lr: 2.0000e-04 eta: 0:09:43 time: 0.8919 data_time: 0.0879 memory: 13723 grad_norm: 4.9906 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5677 loss: 0.5677 2022/08/10 04:33:45 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 04:33:45 - mmengine - INFO - Epoch(train) [100][980/1879] lr: 2.0000e-04 eta: 0:09:30 time: 0.8671 data_time: 0.0175 memory: 13723 grad_norm: 4.8443 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5116 loss: 0.5116 2022/08/10 04:34:03 - mmengine - INFO - Epoch(train) [100][1000/1879] lr: 2.0000e-04 eta: 0:09:18 time: 0.8796 data_time: 0.0206 memory: 13723 grad_norm: 4.8253 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4564 loss: 0.4564 2022/08/10 04:34:19 - mmengine - INFO - Epoch(train) [100][1020/1879] lr: 2.0000e-04 eta: 0:09:05 time: 0.8392 data_time: 0.0174 memory: 13723 grad_norm: 4.8215 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5468 loss: 0.5468 2022/08/10 04:34:34 - mmengine - INFO - Epoch(train) [100][1040/1879] lr: 2.0000e-04 eta: 0:08:52 time: 0.7278 data_time: 0.0194 memory: 13723 grad_norm: 5.0270 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7108 loss: 0.7108 2022/08/10 04:34:49 - mmengine - INFO - Epoch(train) [100][1060/1879] lr: 2.0000e-04 eta: 0:08:40 time: 0.7229 data_time: 0.0178 memory: 13723 grad_norm: 5.1224 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4846 loss: 0.4846 2022/08/10 04:35:08 - mmengine - INFO - Epoch(train) [100][1080/1879] lr: 2.0000e-04 eta: 0:08:27 time: 0.9648 data_time: 0.0222 memory: 13723 grad_norm: 4.8454 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5678 loss: 0.5678 2022/08/10 04:35:22 - mmengine - INFO - Epoch(train) [100][1100/1879] lr: 2.0000e-04 eta: 0:08:14 time: 0.7195 data_time: 0.0210 memory: 13723 grad_norm: 5.1722 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5990 loss: 0.5990 2022/08/10 04:35:37 - mmengine - INFO - Epoch(train) [100][1120/1879] lr: 2.0000e-04 eta: 0:08:01 time: 0.7584 data_time: 0.0173 memory: 13723 grad_norm: 4.8022 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5337 loss: 0.5337 2022/08/10 04:35:52 - mmengine - INFO - Epoch(train) [100][1140/1879] lr: 2.0000e-04 eta: 0:07:49 time: 0.7399 data_time: 0.0222 memory: 13723 grad_norm: 5.0628 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5105 loss: 0.5105 2022/08/10 04:36:06 - mmengine - INFO - Epoch(train) [100][1160/1879] lr: 2.0000e-04 eta: 0:07:36 time: 0.7008 data_time: 0.0211 memory: 13723 grad_norm: 5.0521 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6684 loss: 0.6684 2022/08/10 04:36:19 - mmengine - INFO - Epoch(train) [100][1180/1879] lr: 2.0000e-04 eta: 0:07:23 time: 0.6257 data_time: 0.0245 memory: 13723 grad_norm: 4.9749 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5424 loss: 0.5424 2022/08/10 04:36:35 - mmengine - INFO - Epoch(train) [100][1200/1879] lr: 2.0000e-04 eta: 0:07:11 time: 0.8004 data_time: 0.0205 memory: 13723 grad_norm: 5.1640 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6385 loss: 0.6385 2022/08/10 04:36:51 - mmengine - INFO - Epoch(train) [100][1220/1879] lr: 2.0000e-04 eta: 0:06:58 time: 0.8315 data_time: 0.0166 memory: 13723 grad_norm: 4.8112 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6164 loss: 0.6164 2022/08/10 04:37:09 - mmengine - INFO - Epoch(train) [100][1240/1879] lr: 2.0000e-04 eta: 0:06:45 time: 0.8563 data_time: 0.0205 memory: 13723 grad_norm: 5.0367 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5260 loss: 0.5260 2022/08/10 04:37:21 - mmengine - INFO - Epoch(train) [100][1260/1879] lr: 2.0000e-04 eta: 0:06:33 time: 0.6246 data_time: 0.0204 memory: 13723 grad_norm: 4.7903 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5494 loss: 0.5494 2022/08/10 04:37:37 - mmengine - INFO - Epoch(train) [100][1280/1879] lr: 2.0000e-04 eta: 0:06:20 time: 0.8080 data_time: 0.0181 memory: 13723 grad_norm: 4.9012 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4474 loss: 0.4474 2022/08/10 04:37:52 - mmengine - INFO - Epoch(train) [100][1300/1879] lr: 2.0000e-04 eta: 0:06:07 time: 0.7144 data_time: 0.0192 memory: 13723 grad_norm: 4.8650 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6424 loss: 0.6424 2022/08/10 04:38:08 - mmengine - INFO - Epoch(train) [100][1320/1879] lr: 2.0000e-04 eta: 0:05:55 time: 0.8111 data_time: 0.0199 memory: 13723 grad_norm: 5.0269 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5245 loss: 0.5245 2022/08/10 04:38:25 - mmengine - INFO - Epoch(train) [100][1340/1879] lr: 2.0000e-04 eta: 0:05:42 time: 0.8732 data_time: 0.0196 memory: 13723 grad_norm: 4.8618 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5203 loss: 0.5203 2022/08/10 04:38:42 - mmengine - INFO - Epoch(train) [100][1360/1879] lr: 2.0000e-04 eta: 0:05:29 time: 0.8497 data_time: 0.0202 memory: 13723 grad_norm: 4.9474 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5287 loss: 0.5287 2022/08/10 04:38:54 - mmengine - INFO - Epoch(train) [100][1380/1879] lr: 2.0000e-04 eta: 0:05:16 time: 0.5814 data_time: 0.0234 memory: 13723 grad_norm: 4.9674 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5376 loss: 0.5376 2022/08/10 04:39:08 - mmengine - INFO - Epoch(train) [100][1400/1879] lr: 2.0000e-04 eta: 0:05:04 time: 0.7206 data_time: 0.0208 memory: 13723 grad_norm: 5.1209 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5727 loss: 0.5727 2022/08/10 04:39:21 - mmengine - INFO - Epoch(train) [100][1420/1879] lr: 2.0000e-04 eta: 0:04:51 time: 0.6489 data_time: 0.0232 memory: 13723 grad_norm: 5.0547 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6182 loss: 0.6182 2022/08/10 04:39:34 - mmengine - INFO - Epoch(train) [100][1440/1879] lr: 2.0000e-04 eta: 0:04:38 time: 0.6253 data_time: 0.0209 memory: 13723 grad_norm: 4.9269 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5086 loss: 0.5086 2022/08/10 04:39:48 - mmengine - INFO - Epoch(train) [100][1460/1879] lr: 2.0000e-04 eta: 0:04:26 time: 0.7146 data_time: 0.0237 memory: 13723 grad_norm: 4.7445 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5827 loss: 0.5827 2022/08/10 04:40:00 - mmengine - INFO - Epoch(train) [100][1480/1879] lr: 2.0000e-04 eta: 0:04:13 time: 0.5991 data_time: 0.0229 memory: 13723 grad_norm: 4.8485 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5192 loss: 0.5192 2022/08/10 04:40:14 - mmengine - INFO - Epoch(train) [100][1500/1879] lr: 2.0000e-04 eta: 0:04:00 time: 0.7032 data_time: 0.0264 memory: 13723 grad_norm: 5.0008 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4746 loss: 0.4746 2022/08/10 04:40:27 - mmengine - INFO - Epoch(train) [100][1520/1879] lr: 2.0000e-04 eta: 0:03:48 time: 0.6459 data_time: 0.0202 memory: 13723 grad_norm: 5.0616 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.4770 loss: 0.4770 2022/08/10 04:40:43 - mmengine - INFO - Epoch(train) [100][1540/1879] lr: 2.0000e-04 eta: 0:03:35 time: 0.7694 data_time: 0.0244 memory: 13723 grad_norm: 4.8707 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5878 loss: 0.5878 2022/08/10 04:40:57 - mmengine - INFO - Epoch(train) [100][1560/1879] lr: 2.0000e-04 eta: 0:03:22 time: 0.7226 data_time: 0.0214 memory: 13723 grad_norm: 4.7679 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5264 loss: 0.5264 2022/08/10 04:41:10 - mmengine - INFO - Epoch(train) [100][1580/1879] lr: 2.0000e-04 eta: 0:03:09 time: 0.6308 data_time: 0.0202 memory: 13723 grad_norm: 5.0589 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5920 loss: 0.5920 2022/08/10 04:41:28 - mmengine - INFO - Epoch(train) [100][1600/1879] lr: 2.0000e-04 eta: 0:02:57 time: 0.9141 data_time: 0.0187 memory: 13723 grad_norm: 5.1060 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5605 loss: 0.5605 2022/08/10 04:41:42 - mmengine - INFO - Epoch(train) [100][1620/1879] lr: 2.0000e-04 eta: 0:02:44 time: 0.6976 data_time: 0.0215 memory: 13723 grad_norm: 5.0629 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4992 loss: 0.4992 2022/08/10 04:41:56 - mmengine - INFO - Epoch(train) [100][1640/1879] lr: 2.0000e-04 eta: 0:02:31 time: 0.6879 data_time: 0.0181 memory: 13723 grad_norm: 4.8789 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5326 loss: 0.5326 2022/08/10 04:42:11 - mmengine - INFO - Epoch(train) [100][1660/1879] lr: 2.0000e-04 eta: 0:02:19 time: 0.7417 data_time: 0.0217 memory: 13723 grad_norm: 4.8473 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5677 loss: 0.5677 2022/08/10 04:42:24 - mmengine - INFO - Epoch(train) [100][1680/1879] lr: 2.0000e-04 eta: 0:02:06 time: 0.6543 data_time: 0.0209 memory: 13723 grad_norm: 4.9960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5971 loss: 0.5971 2022/08/10 04:42:40 - mmengine - INFO - Epoch(train) [100][1700/1879] lr: 2.0000e-04 eta: 0:01:53 time: 0.8093 data_time: 0.0212 memory: 13723 grad_norm: 5.0109 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7314 loss: 0.7314 2022/08/10 04:42:55 - mmengine - INFO - Epoch(train) [100][1720/1879] lr: 2.0000e-04 eta: 0:01:41 time: 0.7294 data_time: 0.0205 memory: 13723 grad_norm: 4.9373 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5762 loss: 0.5762 2022/08/10 04:43:07 - mmengine - INFO - Epoch(train) [100][1740/1879] lr: 2.0000e-04 eta: 0:01:28 time: 0.5948 data_time: 0.0221 memory: 13723 grad_norm: 4.8112 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4988 loss: 0.4988 2022/08/10 04:43:21 - mmengine - INFO - Epoch(train) [100][1760/1879] lr: 2.0000e-04 eta: 0:01:15 time: 0.7130 data_time: 0.0225 memory: 13723 grad_norm: 4.8562 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5938 loss: 0.5938 2022/08/10 04:43:35 - mmengine - INFO - Epoch(train) [100][1780/1879] lr: 2.0000e-04 eta: 0:01:02 time: 0.6991 data_time: 0.0211 memory: 13723 grad_norm: 4.9198 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5895 loss: 0.5895 2022/08/10 04:43:49 - mmengine - INFO - Epoch(train) [100][1800/1879] lr: 2.0000e-04 eta: 0:00:50 time: 0.7258 data_time: 0.0226 memory: 13723 grad_norm: 4.8128 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5658 loss: 0.5658 2022/08/10 04:44:04 - mmengine - INFO - Epoch(train) [100][1820/1879] lr: 2.0000e-04 eta: 0:00:37 time: 0.7368 data_time: 0.0193 memory: 13723 grad_norm: 5.0037 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4539 loss: 0.4539 2022/08/10 04:44:16 - mmengine - INFO - Epoch(train) [100][1840/1879] lr: 2.0000e-04 eta: 0:00:24 time: 0.5731 data_time: 0.0258 memory: 13723 grad_norm: 5.0392 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5444 loss: 0.5444 2022/08/10 04:44:31 - mmengine - INFO - Epoch(train) [100][1860/1879] lr: 2.0000e-04 eta: 0:00:12 time: 0.7520 data_time: 0.0228 memory: 13723 grad_norm: 4.8526 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6546 loss: 0.6546 2022/08/10 04:44:45 - mmengine - INFO - Exp name: tsm_r50_1x1x8_100e_kinetics400_rgb_20220808_162137 2022/08/10 04:44:45 - mmengine - INFO - Epoch(train) [100][1879/1879] lr: 2.0000e-04 eta: 0:00:12 time: 0.7487 data_time: 0.0175 memory: 13723 grad_norm: 5.1430 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.5373 loss: 0.5373 2022/08/10 04:44:45 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/08/10 04:45:02 - mmengine - INFO - Epoch(val) [100][20/155] eta: 0:01:39 time: 0.7341 data_time: 0.5957 memory: 1829 2022/08/10 04:45:16 - mmengine - INFO - Epoch(val) [100][40/155] eta: 0:01:19 time: 0.6911 data_time: 0.5553 memory: 1829 2022/08/10 04:45:30 - mmengine - INFO - Epoch(val) [100][60/155] eta: 0:01:06 time: 0.7042 data_time: 0.5666 memory: 1829 2022/08/10 04:45:45 - mmengine - INFO - Epoch(val) [100][80/155] eta: 0:00:58 time: 0.7843 data_time: 0.6472 memory: 1829 2022/08/10 04:45:53 - mmengine - INFO - Epoch(val) [100][100/155] eta: 0:00:21 time: 0.3987 data_time: 0.2623 memory: 1829 2022/08/10 04:46:12 - mmengine - INFO - Epoch(val) [100][120/155] eta: 0:00:33 time: 0.9468 data_time: 0.8105 memory: 1829 2022/08/10 04:46:20 - mmengine - INFO - Epoch(val) [100][140/155] eta: 0:00:05 time: 0.3787 data_time: 0.2441 memory: 1829 2022/08/10 04:46:31 - mmengine - INFO - Epoch(val) [100][155/155] acc/top1: 0.7138 acc/top5: 0.8943 acc/mean1: 0.7138