2022/08/08 16:21:45 - mmengine - INFO - These parameters in pretrained checkpoint are not loaded: {'fc.bias', 'fc.weight'} 2022/08/08 16:21:47 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb by HardDiskBackend. 2022/08/08 16:34:07 - mmengine - INFO - Epoch(train) [1][20/1879] lr: 2.0000e-03 eta: 40 days, 5:28:08 time: 37.0030 data_time: 36.3176 memory: 13723 grad_norm: 2.3836 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9696 loss: 5.9696 2022/08/08 16:34:21 - mmengine - INFO - Epoch(train) [1][40/1879] lr: 2.0000e-03 eta: 20 days, 11:46:15 time: 0.7007 data_time: 0.0233 memory: 13723 grad_norm: 2.4428 top1_acc: 0.0625 top5_acc: 0.0625 loss_cls: 5.8481 loss: 5.8481 2022/08/08 16:34:33 - mmengine - INFO - Epoch(train) [1][60/1879] lr: 2.0000e-03 eta: 13 days, 21:14:22 time: 0.6283 data_time: 0.0195 memory: 13723 grad_norm: 2.5201 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 5.6354 loss: 5.6354 2022/08/08 16:34:47 - mmengine - INFO - Epoch(train) [1][80/1879] lr: 2.0000e-03 eta: 10 days, 14:20:53 time: 0.6860 data_time: 0.0206 memory: 13723 grad_norm: 2.6065 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.4808 loss: 5.4808 2022/08/08 16:35:01 - mmengine - INFO - Epoch(train) [1][100/1879] lr: 2.0000e-03 eta: 8 days, 15:08:48 time: 0.7118 data_time: 0.0148 memory: 13723 grad_norm: 2.7401 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.2295 loss: 5.2295 2022/08/08 16:35:18 - mmengine - INFO - Epoch(train) [1][120/1879] lr: 2.0000e-03 eta: 7 days, 8:15:05 time: 0.8439 data_time: 0.0213 memory: 13723 grad_norm: 2.8484 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 5.0153 loss: 5.0153 2022/08/08 16:35:30 - mmengine - INFO - Epoch(train) [1][140/1879] lr: 2.0000e-03 eta: 6 days, 9:18:07 time: 0.6076 data_time: 0.0212 memory: 13723 grad_norm: 2.9551 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.8064 loss: 4.8064 2022/08/08 16:35:42 - mmengine - INFO - Epoch(train) [1][160/1879] lr: 2.0000e-03 eta: 5 days, 16:03:43 time: 0.5992 data_time: 0.0200 memory: 13723 grad_norm: 3.0624 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.7299 loss: 4.7299 2022/08/08 16:35:56 - mmengine - INFO - Epoch(train) [1][180/1879] lr: 2.0000e-03 eta: 5 days, 2:52:41 time: 0.6772 data_time: 0.0175 memory: 13723 grad_norm: 3.1161 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 4.5289 loss: 4.5289 2022/08/08 16:36:11 - mmengine - INFO - Epoch(train) [1][200/1879] lr: 2.0000e-03 eta: 4 days, 16:31:02 time: 0.7490 data_time: 0.0194 memory: 13723 grad_norm: 3.2371 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 4.3019 loss: 4.3019 2022/08/08 16:36:22 - mmengine - INFO - Epoch(train) [1][220/1879] lr: 2.0000e-03 eta: 4 days, 7:34:53 time: 0.5555 data_time: 0.0189 memory: 13723 grad_norm: 3.2893 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 4.2359 loss: 4.2359 2022/08/08 16:36:36 - mmengine - INFO - Epoch(train) [1][240/1879] lr: 2.0000e-03 eta: 4 days, 0:28:42 time: 0.7142 data_time: 0.0190 memory: 13723 grad_norm: 3.3968 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 4.1679 loss: 4.1679 2022/08/08 16:36:48 - mmengine - INFO - Epoch(train) [1][260/1879] lr: 2.0000e-03 eta: 3 days, 18:10:03 time: 0.5642 data_time: 0.0215 memory: 13723 grad_norm: 3.4679 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 4.0710 loss: 4.0710 2022/08/08 16:37:02 - mmengine - INFO - Epoch(train) [1][280/1879] lr: 2.0000e-03 eta: 3 days, 13:02:25 time: 0.7162 data_time: 0.0176 memory: 13723 grad_norm: 3.5232 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 3.8682 loss: 3.8682 2022/08/08 16:37:15 - mmengine - INFO - Epoch(train) [1][300/1879] lr: 2.0000e-03 eta: 3 days, 8:31:21 time: 0.6738 data_time: 0.0200 memory: 13723 grad_norm: 3.5691 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.8378 loss: 3.8378 2022/08/08 16:37:29 - mmengine - INFO - Epoch(train) [1][320/1879] lr: 2.0000e-03 eta: 3 days, 4:33:27 time: 0.6667 data_time: 0.0181 memory: 13723 grad_norm: 3.6585 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 3.8760 loss: 3.8760 2022/08/08 16:37:43 - mmengine - INFO - Epoch(train) [1][340/1879] lr: 2.0000e-03 eta: 3 days, 1:08:51 time: 0.7249 data_time: 0.0202 memory: 13723 grad_norm: 3.7426 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 3.7601 loss: 3.7601 2022/08/08 16:37:55 - mmengine - INFO - Epoch(train) [1][360/1879] lr: 2.0000e-03 eta: 2 days, 21:54:53 time: 0.5855 data_time: 0.0203 memory: 13723 grad_norm: 3.8021 top1_acc: 0.0625 top5_acc: 0.5625 loss_cls: 3.8299 loss: 3.8299 2022/08/08 16:38:08 - mmengine - INFO - Epoch(train) [1][380/1879] lr: 2.0000e-03 eta: 2 days, 19:06:25 time: 0.6478 data_time: 0.0220 memory: 13723 grad_norm: 3.8341 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.8167 loss: 3.8167 2022/08/08 16:38:21 - mmengine - INFO - Epoch(train) [1][400/1879] lr: 2.0000e-03 eta: 2 days, 16:35:54 time: 0.6622 data_time: 0.0213 memory: 13723 grad_norm: 3.8711 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7187 loss: 3.7187 2022/08/08 16:38:34 - mmengine - INFO - Epoch(train) [1][420/1879] lr: 2.0000e-03 eta: 2 days, 14:16:56 time: 0.6250 data_time: 0.0215 memory: 13723 grad_norm: 3.8681 top1_acc: 0.1250 top5_acc: 0.1875 loss_cls: 3.4951 loss: 3.4951 2022/08/08 16:38:45 - mmengine - INFO - Epoch(train) [1][440/1879] lr: 2.0000e-03 eta: 2 days, 12:06:49 time: 0.5718 data_time: 0.0214 memory: 13723 grad_norm: 3.9209 top1_acc: 0.0625 top5_acc: 0.5625 loss_cls: 3.5313 loss: 3.5313 2022/08/08 16:38:57 - mmengine - INFO - Epoch(train) [1][460/1879] lr: 2.0000e-03 eta: 2 days, 10:08:19 time: 0.5764 data_time: 0.0239 memory: 13723 grad_norm: 4.0353 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 3.5051 loss: 3.5051 2022/08/08 16:39:09 - mmengine - INFO - Epoch(train) [1][480/1879] lr: 2.0000e-03 eta: 2 days, 8:21:09 time: 0.5993 data_time: 0.0211 memory: 13723 grad_norm: 4.0747 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.3888 loss: 3.3888 2022/08/08 16:39:20 - mmengine - INFO - Epoch(train) [1][500/1879] lr: 2.0000e-03 eta: 2 days, 6:41:39 time: 0.5849 data_time: 0.0240 memory: 13723 grad_norm: 4.0992 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3737 loss: 3.3737 2022/08/08 16:39:32 - mmengine - INFO - Epoch(train) [1][520/1879] lr: 2.0000e-03 eta: 2 days, 5:09:33 time: 0.5810 data_time: 0.0227 memory: 13723 grad_norm: 4.1165 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 3.3668 loss: 3.3668 2022/08/08 16:39:43 - mmengine - INFO - Epoch(train) [1][540/1879] lr: 2.0000e-03 eta: 2 days, 3:43:45 time: 0.5720 data_time: 0.0238 memory: 13723 grad_norm: 4.1440 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.2640 loss: 3.2640 2022/08/08 16:39:55 - mmengine - INFO - Epoch(train) [1][560/1879] lr: 2.0000e-03 eta: 2 days, 2:25:14 time: 0.5934 data_time: 0.0233 memory: 13723 grad_norm: 4.2287 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3275 loss: 3.3275 2022/08/08 16:40:07 - mmengine - INFO - Epoch(train) [1][580/1879] lr: 2.0000e-03 eta: 2 days, 1:10:58 time: 0.5716 data_time: 0.0283 memory: 13723 grad_norm: 4.3109 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 3.4241 loss: 3.4241 2022/08/08 16:40:18 - mmengine - INFO - Epoch(train) [1][600/1879] lr: 2.0000e-03 eta: 2 days, 0:01:39 time: 0.5718 data_time: 0.0242 memory: 13723 grad_norm: 4.3279 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.3709 loss: 3.3709 2022/08/08 16:40:30 - mmengine - INFO - Epoch(train) [1][620/1879] lr: 2.0000e-03 eta: 1 day, 22:57:36 time: 0.5881 data_time: 0.0375 memory: 13723 grad_norm: 4.3894 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.3010 loss: 3.3010 2022/08/08 16:40:41 - mmengine - INFO - Epoch(train) [1][640/1879] lr: 2.0000e-03 eta: 1 day, 21:57:09 time: 0.5800 data_time: 0.0247 memory: 13723 grad_norm: 4.4017 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.1548 loss: 3.1548 2022/08/08 16:40:53 - mmengine - INFO - Epoch(train) [1][660/1879] lr: 2.0000e-03 eta: 1 day, 20:59:57 time: 0.5714 data_time: 0.0243 memory: 13723 grad_norm: 4.4563 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 3.1604 loss: 3.1604 2022/08/08 16:41:04 - mmengine - INFO - Epoch(train) [1][680/1879] lr: 2.0000e-03 eta: 1 day, 20:05:55 time: 0.5673 data_time: 0.0264 memory: 13723 grad_norm: 4.4868 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1257 loss: 3.1257 2022/08/08 16:41:16 - mmengine - INFO - Epoch(train) [1][700/1879] lr: 2.0000e-03 eta: 1 day, 19:14:59 time: 0.5680 data_time: 0.0233 memory: 13723 grad_norm: 4.4833 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2327 loss: 3.2327 2022/08/08 16:41:27 - mmengine - INFO - Epoch(train) [1][720/1879] lr: 2.0000e-03 eta: 1 day, 18:27:25 time: 0.5804 data_time: 0.0252 memory: 13723 grad_norm: 4.6070 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2685 loss: 3.2685 2022/08/08 16:41:39 - mmengine - INFO - Epoch(train) [1][740/1879] lr: 2.0000e-03 eta: 1 day, 17:42:11 time: 0.5752 data_time: 0.0225 memory: 13723 grad_norm: 4.5108 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.0297 loss: 3.0297 2022/08/08 16:41:50 - mmengine - INFO - Epoch(train) [1][760/1879] lr: 2.0000e-03 eta: 1 day, 16:59:20 time: 0.5755 data_time: 0.0240 memory: 13723 grad_norm: 4.6175 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 3.1191 loss: 3.1191 2022/08/08 16:42:02 - mmengine - INFO - Epoch(train) [1][780/1879] lr: 2.0000e-03 eta: 1 day, 16:18:57 time: 0.5823 data_time: 0.0250 memory: 13723 grad_norm: 4.6091 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 3.2626 loss: 3.2626 2022/08/08 16:42:13 - mmengine - INFO - Epoch(train) [1][800/1879] lr: 2.0000e-03 eta: 1 day, 15:40:13 time: 0.5735 data_time: 0.0253 memory: 13723 grad_norm: 4.6265 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 3.0277 loss: 3.0277 2022/08/08 16:42:25 - mmengine - INFO - Epoch(train) [1][820/1879] lr: 2.0000e-03 eta: 1 day, 15:03:18 time: 0.5713 data_time: 0.0245 memory: 13723 grad_norm: 4.6146 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.0402 loss: 3.0402 2022/08/08 16:42:36 - mmengine - INFO - Epoch(train) [1][840/1879] lr: 2.0000e-03 eta: 1 day, 14:28:00 time: 0.5682 data_time: 0.0284 memory: 13723 grad_norm: 4.7370 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 3.0066 loss: 3.0066 2022/08/08 16:42:47 - mmengine - INFO - Epoch(train) [1][860/1879] lr: 2.0000e-03 eta: 1 day, 13:54:19 time: 0.5673 data_time: 0.0231 memory: 13723 grad_norm: 4.8278 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.9722 loss: 2.9722 2022/08/08 16:42:59 - mmengine - INFO - Epoch(train) [1][880/1879] lr: 2.0000e-03 eta: 1 day, 13:22:16 time: 0.5706 data_time: 0.0256 memory: 13723 grad_norm: 4.7327 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1616 loss: 3.1616 2022/08/08 16:43:10 - mmengine - INFO - Epoch(train) [1][900/1879] lr: 2.0000e-03 eta: 1 day, 12:51:57 time: 0.5800 data_time: 0.0265 memory: 13723 grad_norm: 4.8019 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.9094 loss: 2.9094 2022/08/08 16:43:22 - mmengine - INFO - Epoch(train) [1][920/1879] lr: 2.0000e-03 eta: 1 day, 12:22:36 time: 0.5695 data_time: 0.0248 memory: 13723 grad_norm: 4.8200 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.0195 loss: 3.0195 2022/08/08 16:43:33 - mmengine - INFO - Epoch(train) [1][940/1879] lr: 2.0000e-03 eta: 1 day, 11:54:18 time: 0.5641 data_time: 0.0234 memory: 13723 grad_norm: 4.8424 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 3.0235 loss: 3.0235 2022/08/08 16:43:45 - mmengine - INFO - Epoch(train) [1][960/1879] lr: 2.0000e-03 eta: 1 day, 11:27:28 time: 0.5729 data_time: 0.0267 memory: 13723 grad_norm: 4.9206 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.9901 loss: 2.9901 2022/08/08 16:43:56 - mmengine - INFO - Epoch(train) [1][980/1879] lr: 2.0000e-03 eta: 1 day, 11:01:41 time: 0.5719 data_time: 0.0266 memory: 13723 grad_norm: 4.9182 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0554 loss: 3.0554 2022/08/08 16:44:07 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 16:44:07 - mmengine - INFO - Epoch(train) [1][1000/1879] lr: 2.0000e-03 eta: 1 day, 10:36:44 time: 0.5655 data_time: 0.0261 memory: 13723 grad_norm: 4.9802 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9488 loss: 2.9488 2022/08/08 16:44:18 - mmengine - INFO - Epoch(train) [1][1020/1879] lr: 2.0000e-03 eta: 1 day, 10:12:31 time: 0.5581 data_time: 0.0239 memory: 13723 grad_norm: 4.9031 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7365 loss: 2.7365 2022/08/08 16:44:30 - mmengine - INFO - Epoch(train) [1][1040/1879] lr: 2.0000e-03 eta: 1 day, 9:49:28 time: 0.5661 data_time: 0.0272 memory: 13723 grad_norm: 4.9153 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9375 loss: 2.9375 2022/08/08 16:44:41 - mmengine - INFO - Epoch(train) [1][1060/1879] lr: 2.0000e-03 eta: 1 day, 9:27:19 time: 0.5668 data_time: 0.0205 memory: 13723 grad_norm: 5.0887 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.8644 loss: 2.8644 2022/08/08 16:44:53 - mmengine - INFO - Epoch(train) [1][1080/1879] lr: 2.0000e-03 eta: 1 day, 9:06:07 time: 0.5724 data_time: 0.0269 memory: 13723 grad_norm: 4.9363 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 3.0181 loss: 3.0181 2022/08/08 16:45:04 - mmengine - INFO - Epoch(train) [1][1100/1879] lr: 2.0000e-03 eta: 1 day, 8:45:41 time: 0.5721 data_time: 0.0226 memory: 13723 grad_norm: 5.0987 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8390 loss: 2.8390 2022/08/08 16:45:17 - mmengine - INFO - Epoch(train) [1][1120/1879] lr: 2.0000e-03 eta: 1 day, 8:28:25 time: 0.6606 data_time: 0.1195 memory: 13723 grad_norm: 5.0259 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.7979 loss: 2.7979 2022/08/08 16:45:29 - mmengine - INFO - Epoch(train) [1][1140/1879] lr: 2.0000e-03 eta: 1 day, 8:09:31 time: 0.5782 data_time: 0.0258 memory: 13723 grad_norm: 5.0031 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.8071 loss: 2.8071 2022/08/08 16:45:43 - mmengine - INFO - Epoch(train) [1][1160/1879] lr: 2.0000e-03 eta: 1 day, 7:54:30 time: 0.7000 data_time: 0.0228 memory: 13723 grad_norm: 5.1209 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.9216 loss: 2.9216 2022/08/08 16:45:54 - mmengine - INFO - Epoch(train) [1][1180/1879] lr: 2.0000e-03 eta: 1 day, 7:36:42 time: 0.5746 data_time: 0.0212 memory: 13723 grad_norm: 5.0503 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.6337 loss: 2.6337 2022/08/08 16:46:06 - mmengine - INFO - Epoch(train) [1][1200/1879] lr: 2.0000e-03 eta: 1 day, 7:20:05 time: 0.5972 data_time: 0.0225 memory: 13723 grad_norm: 5.2676 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.8705 loss: 2.8705 2022/08/08 16:46:19 - mmengine - INFO - Epoch(train) [1][1220/1879] lr: 2.0000e-03 eta: 1 day, 7:04:27 time: 0.6153 data_time: 0.0204 memory: 13723 grad_norm: 5.0770 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6548 loss: 2.6548 2022/08/08 16:46:31 - mmengine - INFO - Epoch(train) [1][1240/1879] lr: 2.0000e-03 eta: 1 day, 6:49:04 time: 0.6051 data_time: 0.0246 memory: 13723 grad_norm: 5.2013 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.8299 loss: 2.8299 2022/08/08 16:46:42 - mmengine - INFO - Epoch(train) [1][1260/1879] lr: 2.0000e-03 eta: 1 day, 6:33:18 time: 0.5701 data_time: 0.0266 memory: 13723 grad_norm: 5.1712 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.8066 loss: 2.8066 2022/08/08 16:46:53 - mmengine - INFO - Epoch(train) [1][1280/1879] lr: 2.0000e-03 eta: 1 day, 6:17:52 time: 0.5639 data_time: 0.0238 memory: 13723 grad_norm: 5.2006 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7831 loss: 2.7831 2022/08/08 16:47:05 - mmengine - INFO - Epoch(train) [1][1300/1879] lr: 2.0000e-03 eta: 1 day, 6:03:08 time: 0.5731 data_time: 0.0257 memory: 13723 grad_norm: 5.2204 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.8069 loss: 2.8069 2022/08/08 16:47:16 - mmengine - INFO - Epoch(train) [1][1320/1879] lr: 2.0000e-03 eta: 1 day, 5:48:32 time: 0.5599 data_time: 0.0246 memory: 13723 grad_norm: 5.1937 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.8381 loss: 2.8381 2022/08/08 16:47:27 - mmengine - INFO - Epoch(train) [1][1340/1879] lr: 2.0000e-03 eta: 1 day, 5:34:27 time: 0.5640 data_time: 0.0270 memory: 13723 grad_norm: 5.1541 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.5290 loss: 2.5290 2022/08/08 16:47:38 - mmengine - INFO - Epoch(train) [1][1360/1879] lr: 2.0000e-03 eta: 1 day, 5:20:40 time: 0.5596 data_time: 0.0255 memory: 13723 grad_norm: 5.2294 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7095 loss: 2.7095 2022/08/08 16:47:50 - mmengine - INFO - Epoch(train) [1][1380/1879] lr: 2.0000e-03 eta: 1 day, 5:07:30 time: 0.5686 data_time: 0.0250 memory: 13723 grad_norm: 5.4070 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7943 loss: 2.7943 2022/08/08 16:48:01 - mmengine - INFO - Epoch(train) [1][1400/1879] lr: 2.0000e-03 eta: 1 day, 4:54:30 time: 0.5605 data_time: 0.0252 memory: 13723 grad_norm: 5.2403 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5640 loss: 2.5640 2022/08/08 16:48:12 - mmengine - INFO - Epoch(train) [1][1420/1879] lr: 2.0000e-03 eta: 1 day, 4:42:01 time: 0.5669 data_time: 0.0237 memory: 13723 grad_norm: 5.3138 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 2.6663 loss: 2.6663 2022/08/08 16:48:24 - mmengine - INFO - Epoch(train) [1][1440/1879] lr: 2.0000e-03 eta: 1 day, 4:29:51 time: 0.5653 data_time: 0.0249 memory: 13723 grad_norm: 5.3077 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6615 loss: 2.6615 2022/08/08 16:48:35 - mmengine - INFO - Epoch(train) [1][1460/1879] lr: 2.0000e-03 eta: 1 day, 4:17:53 time: 0.5602 data_time: 0.0230 memory: 13723 grad_norm: 5.3157 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5700 loss: 2.5700 2022/08/08 16:48:46 - mmengine - INFO - Epoch(train) [1][1480/1879] lr: 2.0000e-03 eta: 1 day, 4:06:22 time: 0.5656 data_time: 0.0247 memory: 13723 grad_norm: 5.3799 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.7389 loss: 2.7389 2022/08/08 16:48:58 - mmengine - INFO - Epoch(train) [1][1500/1879] lr: 2.0000e-03 eta: 1 day, 3:55:10 time: 0.5672 data_time: 0.0231 memory: 13723 grad_norm: 5.3746 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.5369 loss: 2.5369 2022/08/08 16:49:09 - mmengine - INFO - Epoch(train) [1][1520/1879] lr: 2.0000e-03 eta: 1 day, 3:44:21 time: 0.5709 data_time: 0.0259 memory: 13723 grad_norm: 5.4267 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.8059 loss: 2.8059 2022/08/08 16:49:20 - mmengine - INFO - Epoch(train) [1][1540/1879] lr: 2.0000e-03 eta: 1 day, 3:33:49 time: 0.5718 data_time: 0.0236 memory: 13723 grad_norm: 5.4208 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5802 loss: 2.5802 2022/08/08 16:49:32 - mmengine - INFO - Epoch(train) [1][1560/1879] lr: 2.0000e-03 eta: 1 day, 3:23:23 time: 0.5641 data_time: 0.0232 memory: 13723 grad_norm: 5.5586 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 2.6160 loss: 2.6160 2022/08/08 16:49:43 - mmengine - INFO - Epoch(train) [1][1580/1879] lr: 2.0000e-03 eta: 1 day, 3:13:18 time: 0.5676 data_time: 0.0229 memory: 13723 grad_norm: 5.5080 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5655 loss: 2.5655 2022/08/08 16:49:57 - mmengine - INFO - Epoch(train) [1][1600/1879] lr: 2.0000e-03 eta: 1 day, 3:05:34 time: 0.6779 data_time: 0.0229 memory: 13723 grad_norm: 5.3806 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5697 loss: 2.5697 2022/08/08 16:50:13 - mmengine - INFO - Epoch(train) [1][1620/1879] lr: 2.0000e-03 eta: 1 day, 3:00:50 time: 0.8247 data_time: 0.0179 memory: 13723 grad_norm: 5.3961 top1_acc: 0.1875 top5_acc: 0.8125 loss_cls: 2.5951 loss: 2.5951 2022/08/08 16:50:26 - mmengine - INFO - Epoch(train) [1][1640/1879] lr: 2.0000e-03 eta: 1 day, 2:53:00 time: 0.6551 data_time: 0.0203 memory: 13723 grad_norm: 5.4879 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7606 loss: 2.7606 2022/08/08 16:50:40 - mmengine - INFO - Epoch(train) [1][1660/1879] lr: 2.0000e-03 eta: 1 day, 2:45:36 time: 0.6677 data_time: 0.0236 memory: 13723 grad_norm: 5.5077 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5058 loss: 2.5058 2022/08/08 16:50:54 - mmengine - INFO - Epoch(train) [1][1680/1879] lr: 2.0000e-03 eta: 1 day, 2:38:56 time: 0.6992 data_time: 0.0180 memory: 13723 grad_norm: 5.5650 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6538 loss: 2.6538 2022/08/08 16:51:05 - mmengine - INFO - Epoch(train) [1][1700/1879] lr: 2.0000e-03 eta: 1 day, 2:30:15 time: 0.5781 data_time: 0.0211 memory: 13723 grad_norm: 5.3845 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6839 loss: 2.6839 2022/08/08 16:51:17 - mmengine - INFO - Epoch(train) [1][1720/1879] lr: 2.0000e-03 eta: 1 day, 2:22:01 time: 0.5930 data_time: 0.0238 memory: 13723 grad_norm: 5.5089 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5008 loss: 2.5008 2022/08/08 16:51:29 - mmengine - INFO - Epoch(train) [1][1740/1879] lr: 2.0000e-03 eta: 1 day, 2:13:47 time: 0.5826 data_time: 0.0230 memory: 13723 grad_norm: 5.5974 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5727 loss: 2.5727 2022/08/08 16:51:44 - mmengine - INFO - Epoch(train) [1][1760/1879] lr: 2.0000e-03 eta: 1 day, 2:08:51 time: 0.7611 data_time: 0.0180 memory: 13723 grad_norm: 5.5370 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.6163 loss: 2.6163 2022/08/08 16:51:57 - mmengine - INFO - Epoch(train) [1][1780/1879] lr: 2.0000e-03 eta: 1 day, 2:02:07 time: 0.6512 data_time: 0.0226 memory: 13723 grad_norm: 5.5419 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4404 loss: 2.4404 2022/08/08 16:52:11 - mmengine - INFO - Epoch(train) [1][1800/1879] lr: 2.0000e-03 eta: 1 day, 1:56:12 time: 0.6894 data_time: 0.0208 memory: 13723 grad_norm: 5.5723 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5447 loss: 2.5447 2022/08/08 16:52:23 - mmengine - INFO - Epoch(train) [1][1820/1879] lr: 2.0000e-03 eta: 1 day, 1:49:03 time: 0.6094 data_time: 0.0199 memory: 13723 grad_norm: 5.6720 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.6616 loss: 2.6616 2022/08/08 16:52:38 - mmengine - INFO - Epoch(train) [1][1840/1879] lr: 2.0000e-03 eta: 1 day, 1:44:14 time: 0.7409 data_time: 0.0189 memory: 13723 grad_norm: 5.6411 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4998 loss: 2.4998 2022/08/08 16:52:49 - mmengine - INFO - Epoch(train) [1][1860/1879] lr: 2.0000e-03 eta: 1 day, 1:36:46 time: 0.5735 data_time: 0.0225 memory: 13723 grad_norm: 5.5480 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4303 loss: 2.4303 2022/08/08 16:53:00 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 16:53:00 - mmengine - INFO - Epoch(train) [1][1879/1879] lr: 2.0000e-03 eta: 1 day, 1:36:46 time: 0.5798 data_time: 0.0166 memory: 13723 grad_norm: 5.8138 top1_acc: 0.1429 top5_acc: 0.1429 loss_cls: 2.5960 loss: 2.5960 2022/08/08 17:05:13 - mmengine - INFO - Epoch(val) [1][20/155] eta: 1:22:25 time: 36.6343 data_time: 36.4892 memory: 1829 2022/08/08 17:05:22 - mmengine - INFO - Epoch(val) [1][40/155] eta: 0:00:51 time: 0.4504 data_time: 0.3128 memory: 1829 2022/08/08 17:05:33 - mmengine - INFO - Epoch(val) [1][60/155] eta: 0:00:52 time: 0.5510 data_time: 0.4133 memory: 1829 2022/08/08 17:05:45 - mmengine - INFO - Epoch(val) [1][80/155] eta: 0:00:43 time: 0.5850 data_time: 0.4469 memory: 1829 2022/08/08 17:05:55 - mmengine - INFO - Epoch(val) [1][100/155] eta: 0:00:29 time: 0.5286 data_time: 0.3875 memory: 1829 2022/08/08 17:06:05 - mmengine - INFO - Epoch(val) [1][120/155] eta: 0:00:16 time: 0.4634 data_time: 0.3253 memory: 1829 2022/08/08 17:06:15 - mmengine - INFO - Epoch(val) [1][140/155] eta: 0:00:07 time: 0.5154 data_time: 0.3768 memory: 1829 2022/08/08 17:06:35 - mmengine - INFO - Epoch(val) [1][155/155] acc/top1: 0.4515 acc/top5: 0.7305 acc/mean1: 0.4511 2022/08/08 17:06:37 - mmengine - INFO - The best checkpoint with 0.4515 acc/top1 at 2 epoch is saved to best_acc/top1_epoch_2.pth. 2022/08/08 17:06:54 - mmengine - INFO - Epoch(train) [2][20/1879] lr: 6.5000e-03 eta: 1 day, 1:18:37 time: 0.8695 data_time: 0.3280 memory: 13723 grad_norm: 5.9377 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.7174 loss: 2.7174 2022/08/08 17:07:05 - mmengine - INFO - Epoch(train) [2][40/1879] lr: 6.5000e-03 eta: 1 day, 1:11:29 time: 0.5642 data_time: 0.0239 memory: 13723 grad_norm: 6.0504 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7365 loss: 2.7365 2022/08/08 17:07:17 - mmengine - INFO - Epoch(train) [2][60/1879] lr: 6.5000e-03 eta: 1 day, 1:04:33 time: 0.5677 data_time: 0.0216 memory: 13723 grad_norm: 5.9179 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8234 loss: 2.8234 2022/08/08 17:07:28 - mmengine - INFO - Epoch(train) [2][80/1879] lr: 6.5000e-03 eta: 1 day, 0:57:54 time: 0.5780 data_time: 0.0276 memory: 13723 grad_norm: 6.1247 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.9797 loss: 2.9797 2022/08/08 17:07:42 - mmengine - INFO - Epoch(train) [2][100/1879] lr: 6.5000e-03 eta: 1 day, 0:53:03 time: 0.6844 data_time: 0.0700 memory: 13723 grad_norm: 6.0829 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.7595 loss: 2.7595 2022/08/08 17:07:54 - mmengine - INFO - Epoch(train) [2][120/1879] lr: 6.5000e-03 eta: 1 day, 0:47:13 time: 0.6152 data_time: 0.0724 memory: 13723 grad_norm: 5.9503 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.9410 loss: 2.9410 2022/08/08 17:07:55 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 17:08:06 - mmengine - INFO - Epoch(train) [2][140/1879] lr: 6.5000e-03 eta: 1 day, 0:41:17 time: 0.6011 data_time: 0.0399 memory: 13723 grad_norm: 6.0549 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7889 loss: 2.7889 2022/08/08 17:08:21 - mmengine - INFO - Epoch(train) [2][160/1879] lr: 6.5000e-03 eta: 1 day, 0:37:53 time: 0.7618 data_time: 0.2053 memory: 13723 grad_norm: 5.9343 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.8484 loss: 2.8484 2022/08/08 17:08:33 - mmengine - INFO - Epoch(train) [2][180/1879] lr: 6.5000e-03 eta: 1 day, 0:32:04 time: 0.5953 data_time: 0.0502 memory: 13723 grad_norm: 5.9674 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6325 loss: 2.6325 2022/08/08 17:08:51 - mmengine - INFO - Epoch(train) [2][200/1879] lr: 6.5000e-03 eta: 1 day, 0:30:28 time: 0.8736 data_time: 0.3290 memory: 13723 grad_norm: 5.8582 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6861 loss: 2.6861 2022/08/08 17:09:02 - mmengine - INFO - Epoch(train) [2][220/1879] lr: 6.5000e-03 eta: 1 day, 0:24:25 time: 0.5679 data_time: 0.0164 memory: 13723 grad_norm: 5.9364 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.7480 loss: 2.7480 2022/08/08 17:09:15 - mmengine - INFO - Epoch(train) [2][240/1879] lr: 6.5000e-03 eta: 1 day, 0:19:10 time: 0.6157 data_time: 0.0252 memory: 13723 grad_norm: 6.0547 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5866 loss: 2.5866 2022/08/08 17:09:26 - mmengine - INFO - Epoch(train) [2][260/1879] lr: 6.5000e-03 eta: 1 day, 0:13:26 time: 0.5744 data_time: 0.0205 memory: 13723 grad_norm: 6.0766 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7620 loss: 2.7620 2022/08/08 17:09:45 - mmengine - INFO - Epoch(train) [2][280/1879] lr: 6.5000e-03 eta: 1 day, 0:13:05 time: 0.9482 data_time: 0.3865 memory: 13723 grad_norm: 6.0164 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5633 loss: 2.5633 2022/08/08 17:09:56 - mmengine - INFO - Epoch(train) [2][300/1879] lr: 6.5000e-03 eta: 1 day, 0:07:19 time: 0.5607 data_time: 0.0142 memory: 13723 grad_norm: 6.1647 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7045 loss: 2.7045 2022/08/08 17:10:13 - mmengine - INFO - Epoch(train) [2][320/1879] lr: 6.5000e-03 eta: 1 day, 0:05:46 time: 0.8580 data_time: 0.2746 memory: 13723 grad_norm: 6.1356 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8354 loss: 2.8354 2022/08/08 17:10:25 - mmengine - INFO - Epoch(train) [2][340/1879] lr: 6.5000e-03 eta: 1 day, 0:00:41 time: 0.5997 data_time: 0.0437 memory: 13723 grad_norm: 5.8685 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5690 loss: 2.5690 2022/08/08 17:10:39 - mmengine - INFO - Epoch(train) [2][360/1879] lr: 6.5000e-03 eta: 23:56:36 time: 0.6657 data_time: 0.1129 memory: 13723 grad_norm: 6.0397 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 2.6809 loss: 2.6809 2022/08/08 17:10:50 - mmengine - INFO - Epoch(train) [2][380/1879] lr: 6.5000e-03 eta: 23:51:19 time: 0.5726 data_time: 0.0256 memory: 13723 grad_norm: 5.9150 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6625 loss: 2.6625 2022/08/08 17:11:03 - mmengine - INFO - Epoch(train) [2][400/1879] lr: 6.5000e-03 eta: 23:47:04 time: 0.6428 data_time: 0.0250 memory: 13723 grad_norm: 6.0301 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5661 loss: 2.5661 2022/08/08 17:11:17 - mmengine - INFO - Epoch(train) [2][420/1879] lr: 6.5000e-03 eta: 23:43:40 time: 0.7021 data_time: 0.0275 memory: 13723 grad_norm: 5.9673 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6262 loss: 2.6262 2022/08/08 17:11:29 - mmengine - INFO - Epoch(train) [2][440/1879] lr: 6.5000e-03 eta: 23:39:00 time: 0.6007 data_time: 0.0349 memory: 13723 grad_norm: 5.9474 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 2.5978 loss: 2.5978 2022/08/08 17:11:43 - mmengine - INFO - Epoch(train) [2][460/1879] lr: 6.5000e-03 eta: 23:35:36 time: 0.6924 data_time: 0.0180 memory: 13723 grad_norm: 5.9150 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5608 loss: 2.5608 2022/08/08 17:11:55 - mmengine - INFO - Epoch(train) [2][480/1879] lr: 6.5000e-03 eta: 23:31:08 time: 0.6068 data_time: 0.0277 memory: 13723 grad_norm: 5.9383 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4851 loss: 2.4851 2022/08/08 17:12:07 - mmengine - INFO - Epoch(train) [2][500/1879] lr: 6.5000e-03 eta: 23:26:40 time: 0.6003 data_time: 0.0186 memory: 13723 grad_norm: 5.9763 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6419 loss: 2.6419 2022/08/08 17:12:22 - mmengine - INFO - Epoch(train) [2][520/1879] lr: 6.5000e-03 eta: 23:23:51 time: 0.7243 data_time: 0.0184 memory: 13723 grad_norm: 5.9764 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5783 loss: 2.5783 2022/08/08 17:12:33 - mmengine - INFO - Epoch(train) [2][540/1879] lr: 6.5000e-03 eta: 23:19:16 time: 0.5801 data_time: 0.0248 memory: 13723 grad_norm: 6.0536 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5101 loss: 2.5101 2022/08/08 17:12:45 - mmengine - INFO - Epoch(train) [2][560/1879] lr: 6.5000e-03 eta: 23:14:52 time: 0.5902 data_time: 0.0202 memory: 13723 grad_norm: 6.0554 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.8553 loss: 2.8553 2022/08/08 17:12:59 - mmengine - INFO - Epoch(train) [2][580/1879] lr: 6.5000e-03 eta: 23:11:42 time: 0.6836 data_time: 0.0236 memory: 13723 grad_norm: 5.9161 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.6415 loss: 2.6415 2022/08/08 17:13:10 - mmengine - INFO - Epoch(train) [2][600/1879] lr: 6.5000e-03 eta: 23:07:19 time: 0.5820 data_time: 0.0188 memory: 13723 grad_norm: 6.0605 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6893 loss: 2.6893 2022/08/08 17:13:24 - mmengine - INFO - Epoch(train) [2][620/1879] lr: 6.5000e-03 eta: 23:04:10 time: 0.6763 data_time: 0.0214 memory: 13723 grad_norm: 6.1120 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.6376 loss: 2.6376 2022/08/08 17:13:38 - mmengine - INFO - Epoch(train) [2][640/1879] lr: 6.5000e-03 eta: 23:01:43 time: 0.7311 data_time: 0.0209 memory: 13723 grad_norm: 6.1020 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.6936 loss: 2.6936 2022/08/08 17:13:50 - mmengine - INFO - Epoch(train) [2][660/1879] lr: 6.5000e-03 eta: 22:57:23 time: 0.5707 data_time: 0.0217 memory: 13723 grad_norm: 6.0433 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5804 loss: 2.5804 2022/08/08 17:14:03 - mmengine - INFO - Epoch(train) [2][680/1879] lr: 6.5000e-03 eta: 22:54:17 time: 0.6687 data_time: 0.0221 memory: 13723 grad_norm: 6.0397 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6389 loss: 2.6389 2022/08/08 17:14:15 - mmengine - INFO - Epoch(train) [2][700/1879] lr: 6.5000e-03 eta: 22:50:02 time: 0.5670 data_time: 0.0244 memory: 13723 grad_norm: 6.1031 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5057 loss: 2.5057 2022/08/08 17:14:27 - mmengine - INFO - Epoch(train) [2][720/1879] lr: 6.5000e-03 eta: 22:46:30 time: 0.6243 data_time: 0.0237 memory: 13723 grad_norm: 6.0805 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.6842 loss: 2.6842 2022/08/08 17:14:39 - mmengine - INFO - Epoch(train) [2][740/1879] lr: 6.5000e-03 eta: 22:42:28 time: 0.5764 data_time: 0.0231 memory: 13723 grad_norm: 6.2233 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.6152 loss: 2.6152 2022/08/08 17:14:50 - mmengine - INFO - Epoch(train) [2][760/1879] lr: 6.5000e-03 eta: 22:38:32 time: 0.5792 data_time: 0.0229 memory: 13723 grad_norm: 6.0679 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5912 loss: 2.5912 2022/08/08 17:15:02 - mmengine - INFO - Epoch(train) [2][780/1879] lr: 6.5000e-03 eta: 22:34:46 time: 0.5903 data_time: 0.0231 memory: 13723 grad_norm: 6.1448 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3534 loss: 2.3534 2022/08/08 17:15:16 - mmengine - INFO - Epoch(train) [2][800/1879] lr: 6.5000e-03 eta: 22:32:07 time: 0.6832 data_time: 0.0222 memory: 13723 grad_norm: 6.1851 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5456 loss: 2.5456 2022/08/08 17:15:28 - mmengine - INFO - Epoch(train) [2][820/1879] lr: 6.5000e-03 eta: 22:28:45 time: 0.6157 data_time: 0.0238 memory: 13723 grad_norm: 6.1538 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4490 loss: 2.4490 2022/08/08 17:15:40 - mmengine - INFO - Epoch(train) [2][840/1879] lr: 6.5000e-03 eta: 22:25:29 time: 0.6224 data_time: 0.0226 memory: 13723 grad_norm: 5.9885 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.7282 loss: 2.7282 2022/08/08 17:15:52 - mmengine - INFO - Epoch(train) [2][860/1879] lr: 6.5000e-03 eta: 22:21:50 time: 0.5817 data_time: 0.0235 memory: 13723 grad_norm: 5.8860 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5352 loss: 2.5352 2022/08/08 17:16:04 - mmengine - INFO - Epoch(train) [2][880/1879] lr: 6.5000e-03 eta: 22:18:27 time: 0.6024 data_time: 0.0240 memory: 13723 grad_norm: 6.0111 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4341 loss: 2.4341 2022/08/08 17:16:16 - mmengine - INFO - Epoch(train) [2][900/1879] lr: 6.5000e-03 eta: 22:15:14 time: 0.6136 data_time: 0.0616 memory: 13723 grad_norm: 6.1367 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.4659 loss: 2.4659 2022/08/08 17:16:28 - mmengine - INFO - Epoch(train) [2][920/1879] lr: 6.5000e-03 eta: 22:11:43 time: 0.5821 data_time: 0.0220 memory: 13723 grad_norm: 6.1346 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.6024 loss: 2.6024 2022/08/08 17:16:40 - mmengine - INFO - Epoch(train) [2][940/1879] lr: 6.5000e-03 eta: 22:08:37 time: 0.6153 data_time: 0.0201 memory: 13723 grad_norm: 6.2048 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6822 loss: 2.6822 2022/08/08 17:16:56 - mmengine - INFO - Epoch(train) [2][960/1879] lr: 6.5000e-03 eta: 22:07:16 time: 0.7765 data_time: 0.2134 memory: 13723 grad_norm: 6.0696 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5154 loss: 2.5154 2022/08/08 17:17:07 - mmengine - INFO - Epoch(train) [2][980/1879] lr: 6.5000e-03 eta: 22:03:37 time: 0.5568 data_time: 0.0153 memory: 13723 grad_norm: 6.1542 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6189 loss: 2.6189 2022/08/08 17:17:22 - mmengine - INFO - Epoch(train) [2][1000/1879] lr: 6.5000e-03 eta: 22:02:10 time: 0.7618 data_time: 0.2271 memory: 13723 grad_norm: 6.1129 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3984 loss: 2.3984 2022/08/08 17:17:36 - mmengine - INFO - Epoch(train) [2][1020/1879] lr: 6.5000e-03 eta: 21:59:56 time: 0.6864 data_time: 0.1442 memory: 13723 grad_norm: 6.1238 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.6371 loss: 2.6371 2022/08/08 17:17:47 - mmengine - INFO - Epoch(train) [2][1040/1879] lr: 6.5000e-03 eta: 21:56:33 time: 0.5727 data_time: 0.0277 memory: 13723 grad_norm: 6.1452 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3915 loss: 2.3915 2022/08/08 17:18:01 - mmengine - INFO - Epoch(train) [2][1060/1879] lr: 6.5000e-03 eta: 21:54:12 time: 0.6681 data_time: 0.1228 memory: 13723 grad_norm: 6.1566 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5703 loss: 2.5703 2022/08/08 17:18:12 - mmengine - INFO - Epoch(train) [2][1080/1879] lr: 6.5000e-03 eta: 21:50:53 time: 0.5701 data_time: 0.0271 memory: 13723 grad_norm: 6.2738 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3071 loss: 2.3071 2022/08/08 17:18:24 - mmengine - INFO - Epoch(train) [2][1100/1879] lr: 6.5000e-03 eta: 21:47:38 time: 0.5731 data_time: 0.0223 memory: 13723 grad_norm: 6.1537 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4712 loss: 2.4712 2022/08/08 17:18:35 - mmengine - INFO - Epoch(train) [2][1120/1879] lr: 6.5000e-03 eta: 21:44:29 time: 0.5798 data_time: 0.0289 memory: 13723 grad_norm: 6.1543 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.8673 loss: 2.8673 2022/08/08 17:18:36 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 17:18:47 - mmengine - INFO - Epoch(train) [2][1140/1879] lr: 6.5000e-03 eta: 21:41:15 time: 0.5681 data_time: 0.0221 memory: 13723 grad_norm: 6.0072 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5960 loss: 2.5960 2022/08/08 17:18:58 - mmengine - INFO - Epoch(train) [2][1160/1879] lr: 6.5000e-03 eta: 21:38:09 time: 0.5760 data_time: 0.0268 memory: 13723 grad_norm: 6.1041 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4468 loss: 2.4468 2022/08/08 17:19:10 - mmengine - INFO - Epoch(train) [2][1180/1879] lr: 6.5000e-03 eta: 21:35:31 time: 0.6188 data_time: 0.0213 memory: 13723 grad_norm: 6.2163 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4467 loss: 2.4467 2022/08/08 17:19:22 - mmengine - INFO - Epoch(train) [2][1200/1879] lr: 6.5000e-03 eta: 21:32:26 time: 0.5708 data_time: 0.0230 memory: 13723 grad_norm: 6.1149 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5483 loss: 2.5483 2022/08/08 17:19:35 - mmengine - INFO - Epoch(train) [2][1220/1879] lr: 6.5000e-03 eta: 21:30:02 time: 0.6375 data_time: 0.0204 memory: 13723 grad_norm: 6.1850 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3668 loss: 2.3668 2022/08/08 17:19:48 - mmengine - INFO - Epoch(train) [2][1240/1879] lr: 6.5000e-03 eta: 21:27:47 time: 0.6490 data_time: 0.0202 memory: 13723 grad_norm: 6.0180 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3408 loss: 2.3408 2022/08/08 17:20:00 - mmengine - INFO - Epoch(train) [2][1260/1879] lr: 6.5000e-03 eta: 21:25:19 time: 0.6251 data_time: 0.0227 memory: 13723 grad_norm: 6.1078 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.3818 loss: 2.3818 2022/08/08 17:20:14 - mmengine - INFO - Epoch(train) [2][1280/1879] lr: 6.5000e-03 eta: 21:23:24 time: 0.6783 data_time: 0.0257 memory: 13723 grad_norm: 6.1842 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3295 loss: 2.3295 2022/08/08 17:20:29 - mmengine - INFO - Epoch(train) [2][1300/1879] lr: 6.5000e-03 eta: 21:22:31 time: 0.7842 data_time: 0.1866 memory: 13723 grad_norm: 6.0635 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4804 loss: 2.4804 2022/08/08 17:20:41 - mmengine - INFO - Epoch(train) [2][1320/1879] lr: 6.5000e-03 eta: 21:19:38 time: 0.5737 data_time: 0.0226 memory: 13723 grad_norm: 6.0645 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4253 loss: 2.4253 2022/08/08 17:20:54 - mmengine - INFO - Epoch(train) [2][1340/1879] lr: 6.5000e-03 eta: 21:17:23 time: 0.6365 data_time: 0.0198 memory: 13723 grad_norm: 6.2069 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.4565 loss: 2.4565 2022/08/08 17:21:06 - mmengine - INFO - Epoch(train) [2][1360/1879] lr: 6.5000e-03 eta: 21:15:11 time: 0.6383 data_time: 0.0217 memory: 13723 grad_norm: 6.2001 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6085 loss: 2.6085 2022/08/08 17:21:18 - mmengine - INFO - Epoch(train) [2][1380/1879] lr: 6.5000e-03 eta: 21:12:20 time: 0.5665 data_time: 0.0250 memory: 13723 grad_norm: 6.1128 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.5093 loss: 2.5093 2022/08/08 17:21:29 - mmengine - INFO - Epoch(train) [2][1400/1879] lr: 6.5000e-03 eta: 21:09:29 time: 0.5646 data_time: 0.0251 memory: 13723 grad_norm: 6.0223 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3843 loss: 2.3843 2022/08/08 17:21:40 - mmengine - INFO - Epoch(train) [2][1420/1879] lr: 6.5000e-03 eta: 21:06:42 time: 0.5660 data_time: 0.0267 memory: 13723 grad_norm: 6.1679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3693 loss: 2.3693 2022/08/08 17:21:52 - mmengine - INFO - Epoch(train) [2][1440/1879] lr: 6.5000e-03 eta: 21:03:55 time: 0.5642 data_time: 0.0255 memory: 13723 grad_norm: 6.0792 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3192 loss: 2.3192 2022/08/08 17:22:03 - mmengine - INFO - Epoch(train) [2][1460/1879] lr: 6.5000e-03 eta: 21:01:13 time: 0.5685 data_time: 0.0257 memory: 13723 grad_norm: 6.0730 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3243 loss: 2.3243 2022/08/08 17:22:15 - mmengine - INFO - Epoch(train) [2][1480/1879] lr: 6.5000e-03 eta: 20:58:42 time: 0.5858 data_time: 0.0236 memory: 13723 grad_norm: 6.1236 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1806 loss: 2.1806 2022/08/08 17:22:26 - mmengine - INFO - Epoch(train) [2][1500/1879] lr: 6.5000e-03 eta: 20:55:57 time: 0.5578 data_time: 0.0242 memory: 13723 grad_norm: 6.0727 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5989 loss: 2.5989 2022/08/08 17:22:37 - mmengine - INFO - Epoch(train) [2][1520/1879] lr: 6.5000e-03 eta: 20:53:21 time: 0.5693 data_time: 0.0272 memory: 13723 grad_norm: 6.1837 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.3051 loss: 2.3051 2022/08/08 17:22:48 - mmengine - INFO - Epoch(train) [2][1540/1879] lr: 6.5000e-03 eta: 20:50:44 time: 0.5661 data_time: 0.0254 memory: 13723 grad_norm: 6.0435 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2953 loss: 2.2953 2022/08/08 17:23:00 - mmengine - INFO - Epoch(train) [2][1560/1879] lr: 6.5000e-03 eta: 20:48:09 time: 0.5653 data_time: 0.0259 memory: 13723 grad_norm: 6.2219 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5864 loss: 2.5864 2022/08/08 17:23:11 - mmengine - INFO - Epoch(train) [2][1580/1879] lr: 6.5000e-03 eta: 20:45:32 time: 0.5595 data_time: 0.0241 memory: 13723 grad_norm: 5.9342 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1966 loss: 2.1966 2022/08/08 17:23:22 - mmengine - INFO - Epoch(train) [2][1600/1879] lr: 6.5000e-03 eta: 20:43:03 time: 0.5708 data_time: 0.0259 memory: 13723 grad_norm: 5.9896 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3423 loss: 2.3423 2022/08/08 17:23:34 - mmengine - INFO - Epoch(train) [2][1620/1879] lr: 6.5000e-03 eta: 20:40:31 time: 0.5618 data_time: 0.0264 memory: 13723 grad_norm: 5.9413 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6210 loss: 2.6210 2022/08/08 17:23:45 - mmengine - INFO - Epoch(train) [2][1640/1879] lr: 6.5000e-03 eta: 20:38:03 time: 0.5675 data_time: 0.0240 memory: 13723 grad_norm: 6.1712 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2233 loss: 2.2233 2022/08/08 17:23:56 - mmengine - INFO - Epoch(train) [2][1660/1879] lr: 6.5000e-03 eta: 20:35:39 time: 0.5719 data_time: 0.0268 memory: 13723 grad_norm: 6.1274 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3167 loss: 2.3167 2022/08/08 17:24:08 - mmengine - INFO - Epoch(train) [2][1680/1879] lr: 6.5000e-03 eta: 20:33:12 time: 0.5623 data_time: 0.0250 memory: 13723 grad_norm: 6.0886 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5056 loss: 2.5056 2022/08/08 17:24:19 - mmengine - INFO - Epoch(train) [2][1700/1879] lr: 6.5000e-03 eta: 20:30:48 time: 0.5675 data_time: 0.0273 memory: 13723 grad_norm: 6.1127 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2513 loss: 2.2513 2022/08/08 17:24:30 - mmengine - INFO - Epoch(train) [2][1720/1879] lr: 6.5000e-03 eta: 20:28:25 time: 0.5643 data_time: 0.0246 memory: 13723 grad_norm: 6.0938 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2379 loss: 2.2379 2022/08/08 17:24:42 - mmengine - INFO - Epoch(train) [2][1740/1879] lr: 6.5000e-03 eta: 20:26:08 time: 0.5734 data_time: 0.0263 memory: 13723 grad_norm: 6.2177 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.4338 loss: 2.4338 2022/08/08 17:24:53 - mmengine - INFO - Epoch(train) [2][1760/1879] lr: 6.5000e-03 eta: 20:23:46 time: 0.5617 data_time: 0.0245 memory: 13723 grad_norm: 6.1277 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3033 loss: 2.3033 2022/08/08 17:25:05 - mmengine - INFO - Epoch(train) [2][1780/1879] lr: 6.5000e-03 eta: 20:21:34 time: 0.5789 data_time: 0.0263 memory: 13723 grad_norm: 6.0626 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1733 loss: 2.1733 2022/08/08 17:25:18 - mmengine - INFO - Epoch(train) [2][1800/1879] lr: 6.5000e-03 eta: 20:20:04 time: 0.6617 data_time: 0.1016 memory: 13723 grad_norm: 6.1977 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4529 loss: 2.4529 2022/08/08 17:25:29 - mmengine - INFO - Epoch(train) [2][1820/1879] lr: 6.5000e-03 eta: 20:17:44 time: 0.5574 data_time: 0.0220 memory: 13723 grad_norm: 6.1031 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3583 loss: 2.3583 2022/08/08 17:25:40 - mmengine - INFO - Epoch(train) [2][1840/1879] lr: 6.5000e-03 eta: 20:15:30 time: 0.5662 data_time: 0.0272 memory: 13723 grad_norm: 6.1812 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3688 loss: 2.3688 2022/08/08 17:25:52 - mmengine - INFO - Epoch(train) [2][1860/1879] lr: 6.5000e-03 eta: 20:13:14 time: 0.5603 data_time: 0.0247 memory: 13723 grad_norm: 6.1446 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3440 loss: 2.3440 2022/08/08 17:26:02 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 17:26:02 - mmengine - INFO - Epoch(train) [2][1879/1879] lr: 6.5000e-03 eta: 20:13:14 time: 0.5400 data_time: 0.0165 memory: 13723 grad_norm: 6.1783 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.5110 loss: 2.5110 2022/08/08 17:26:15 - mmengine - INFO - Epoch(val) [2][20/155] eta: 0:01:30 time: 0.6677 data_time: 0.5272 memory: 1829 2022/08/08 17:26:25 - mmengine - INFO - Epoch(val) [2][40/155] eta: 0:00:56 time: 0.4896 data_time: 0.3506 memory: 1829 2022/08/08 17:26:37 - mmengine - INFO - Epoch(val) [2][60/155] eta: 0:00:54 time: 0.5785 data_time: 0.4384 memory: 1829 2022/08/08 17:26:46 - mmengine - INFO - Epoch(val) [2][80/155] eta: 0:00:34 time: 0.4547 data_time: 0.3094 memory: 1829 2022/08/08 17:26:59 - mmengine - INFO - Epoch(val) [2][100/155] eta: 0:00:35 time: 0.6498 data_time: 0.5089 memory: 1829 2022/08/08 17:27:07 - mmengine - INFO - Epoch(val) [2][120/155] eta: 0:00:15 time: 0.4408 data_time: 0.3016 memory: 1829 2022/08/08 17:27:21 - mmengine - INFO - Epoch(val) [2][140/155] eta: 0:00:10 time: 0.6863 data_time: 0.5476 memory: 1829 2022/08/08 17:27:29 - mmengine - INFO - Epoch(val) [2][155/155] acc/top1: 0.4954 acc/top5: 0.7599 acc/mean1: 0.4952 2022/08/08 17:27:29 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_2.pth is removed 2022/08/08 17:27:31 - mmengine - INFO - The best checkpoint with 0.4954 acc/top1 at 3 epoch is saved to best_acc/top1_epoch_3.pth. 2022/08/08 17:27:46 - mmengine - INFO - Epoch(train) [3][20/1879] lr: 1.1000e-02 eta: 20:06:27 time: 0.7870 data_time: 0.2324 memory: 13723 grad_norm: 6.1520 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2498 loss: 2.2498 2022/08/08 17:27:58 - mmengine - INFO - Epoch(train) [3][40/1879] lr: 1.1000e-02 eta: 20:04:20 time: 0.5674 data_time: 0.0239 memory: 13723 grad_norm: 6.3822 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.5088 loss: 2.5088 2022/08/08 17:28:09 - mmengine - INFO - Epoch(train) [3][60/1879] lr: 1.1000e-02 eta: 20:02:20 time: 0.5830 data_time: 0.0264 memory: 13723 grad_norm: 6.2941 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.5054 loss: 2.5054 2022/08/08 17:28:21 - mmengine - INFO - Epoch(train) [3][80/1879] lr: 1.1000e-02 eta: 20:00:17 time: 0.5713 data_time: 0.0243 memory: 13723 grad_norm: 6.2572 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5964 loss: 2.5964 2022/08/08 17:28:32 - mmengine - INFO - Epoch(train) [3][100/1879] lr: 1.1000e-02 eta: 19:58:14 time: 0.5705 data_time: 0.0224 memory: 13723 grad_norm: 6.3047 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6205 loss: 2.6205 2022/08/08 17:28:43 - mmengine - INFO - Epoch(train) [3][120/1879] lr: 1.1000e-02 eta: 19:56:08 time: 0.5603 data_time: 0.0251 memory: 13723 grad_norm: 6.2578 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3460 loss: 2.3460 2022/08/08 17:28:55 - mmengine - INFO - Epoch(train) [3][140/1879] lr: 1.1000e-02 eta: 19:54:06 time: 0.5683 data_time: 0.0236 memory: 13723 grad_norm: 6.0377 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3364 loss: 2.3364 2022/08/08 17:29:06 - mmengine - INFO - Epoch(train) [3][160/1879] lr: 1.1000e-02 eta: 19:52:06 time: 0.5691 data_time: 0.0253 memory: 13723 grad_norm: 6.2760 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3721 loss: 2.3721 2022/08/08 17:29:17 - mmengine - INFO - Epoch(train) [3][180/1879] lr: 1.1000e-02 eta: 19:50:07 time: 0.5682 data_time: 0.0264 memory: 13723 grad_norm: 6.0762 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5405 loss: 2.5405 2022/08/08 17:29:29 - mmengine - INFO - Epoch(train) [3][200/1879] lr: 1.1000e-02 eta: 19:48:06 time: 0.5635 data_time: 0.0256 memory: 13723 grad_norm: 6.0184 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.7303 loss: 2.7303 2022/08/08 17:29:40 - mmengine - INFO - Epoch(train) [3][220/1879] lr: 1.1000e-02 eta: 19:46:09 time: 0.5668 data_time: 0.0243 memory: 13723 grad_norm: 6.0518 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7412 loss: 2.7412 2022/08/08 17:29:52 - mmengine - INFO - Epoch(train) [3][240/1879] lr: 1.1000e-02 eta: 19:44:14 time: 0.5713 data_time: 0.0300 memory: 13723 grad_norm: 6.1628 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5474 loss: 2.5474 2022/08/08 17:29:53 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 17:30:03 - mmengine - INFO - Epoch(train) [3][260/1879] lr: 1.1000e-02 eta: 19:42:17 time: 0.5642 data_time: 0.0267 memory: 13723 grad_norm: 5.8823 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5952 loss: 2.5952 2022/08/08 17:30:16 - mmengine - INFO - Epoch(train) [3][280/1879] lr: 1.1000e-02 eta: 19:40:54 time: 0.6382 data_time: 0.0224 memory: 13723 grad_norm: 5.8297 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.5401 loss: 2.5401 2022/08/08 17:30:28 - mmengine - INFO - Epoch(train) [3][300/1879] lr: 1.1000e-02 eta: 19:39:19 time: 0.6083 data_time: 0.0450 memory: 13723 grad_norm: 6.0142 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5136 loss: 2.5136 2022/08/08 17:30:40 - mmengine - INFO - Epoch(train) [3][320/1879] lr: 1.1000e-02 eta: 19:37:41 time: 0.6000 data_time: 0.0271 memory: 13723 grad_norm: 6.1469 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5289 loss: 2.5289 2022/08/08 17:30:52 - mmengine - INFO - Epoch(train) [3][340/1879] lr: 1.1000e-02 eta: 19:36:00 time: 0.5932 data_time: 0.0275 memory: 13723 grad_norm: 5.9603 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.5069 loss: 2.5069 2022/08/08 17:31:03 - mmengine - INFO - Epoch(train) [3][360/1879] lr: 1.1000e-02 eta: 19:34:18 time: 0.5869 data_time: 0.0274 memory: 13723 grad_norm: 5.9963 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 2.7863 loss: 2.7863 2022/08/08 17:31:15 - mmengine - INFO - Epoch(train) [3][380/1879] lr: 1.1000e-02 eta: 19:32:38 time: 0.5909 data_time: 0.0289 memory: 13723 grad_norm: 6.0859 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.5948 loss: 2.5948 2022/08/08 17:31:27 - mmengine - INFO - Epoch(train) [3][400/1879] lr: 1.1000e-02 eta: 19:30:53 time: 0.5759 data_time: 0.0275 memory: 13723 grad_norm: 5.8574 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6926 loss: 2.6926 2022/08/08 17:31:38 - mmengine - INFO - Epoch(train) [3][420/1879] lr: 1.1000e-02 eta: 19:29:07 time: 0.5722 data_time: 0.0248 memory: 13723 grad_norm: 5.8909 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3772 loss: 2.3772 2022/08/08 17:31:50 - mmengine - INFO - Epoch(train) [3][440/1879] lr: 1.1000e-02 eta: 19:27:24 time: 0.5770 data_time: 0.0276 memory: 13723 grad_norm: 5.9642 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4569 loss: 2.4569 2022/08/08 17:32:01 - mmengine - INFO - Epoch(train) [3][460/1879] lr: 1.1000e-02 eta: 19:25:37 time: 0.5663 data_time: 0.0238 memory: 13723 grad_norm: 5.8690 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7185 loss: 2.7185 2022/08/08 17:32:12 - mmengine - INFO - Epoch(train) [3][480/1879] lr: 1.1000e-02 eta: 19:23:52 time: 0.5676 data_time: 0.0257 memory: 13723 grad_norm: 5.9596 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6653 loss: 2.6653 2022/08/08 17:32:24 - mmengine - INFO - Epoch(train) [3][500/1879] lr: 1.1000e-02 eta: 19:22:10 time: 0.5722 data_time: 0.0253 memory: 13723 grad_norm: 5.9273 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.5444 loss: 2.5444 2022/08/08 17:32:35 - mmengine - INFO - Epoch(train) [3][520/1879] lr: 1.1000e-02 eta: 19:20:27 time: 0.5692 data_time: 0.0260 memory: 13723 grad_norm: 5.8586 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4706 loss: 2.4706 2022/08/08 17:32:47 - mmengine - INFO - Epoch(train) [3][540/1879] lr: 1.1000e-02 eta: 19:18:45 time: 0.5695 data_time: 0.0264 memory: 13723 grad_norm: 5.9064 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.5439 loss: 2.5439 2022/08/08 17:32:58 - mmengine - INFO - Epoch(train) [3][560/1879] lr: 1.1000e-02 eta: 19:16:59 time: 0.5582 data_time: 0.0252 memory: 13723 grad_norm: 5.8478 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.4593 loss: 2.4593 2022/08/08 17:33:09 - mmengine - INFO - Epoch(train) [3][580/1879] lr: 1.1000e-02 eta: 19:15:21 time: 0.5743 data_time: 0.0253 memory: 13723 grad_norm: 5.8285 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.6428 loss: 2.6428 2022/08/08 17:33:21 - mmengine - INFO - Epoch(train) [3][600/1879] lr: 1.1000e-02 eta: 19:13:41 time: 0.5683 data_time: 0.0251 memory: 13723 grad_norm: 5.7897 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.6573 loss: 2.6573 2022/08/08 17:33:32 - mmengine - INFO - Epoch(train) [3][620/1879] lr: 1.1000e-02 eta: 19:12:01 time: 0.5662 data_time: 0.0292 memory: 13723 grad_norm: 5.6817 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4769 loss: 2.4769 2022/08/08 17:33:43 - mmengine - INFO - Epoch(train) [3][640/1879] lr: 1.1000e-02 eta: 19:10:22 time: 0.5669 data_time: 0.0248 memory: 13723 grad_norm: 5.8048 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6433 loss: 2.6433 2022/08/08 17:33:55 - mmengine - INFO - Epoch(train) [3][660/1879] lr: 1.1000e-02 eta: 19:08:44 time: 0.5672 data_time: 0.0278 memory: 13723 grad_norm: 5.8694 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4365 loss: 2.4365 2022/08/08 17:34:06 - mmengine - INFO - Epoch(train) [3][680/1879] lr: 1.1000e-02 eta: 19:07:07 time: 0.5674 data_time: 0.0246 memory: 13723 grad_norm: 5.8761 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6100 loss: 2.6100 2022/08/08 17:34:17 - mmengine - INFO - Epoch(train) [3][700/1879] lr: 1.1000e-02 eta: 19:05:32 time: 0.5706 data_time: 0.0264 memory: 13723 grad_norm: 5.6511 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.7120 loss: 2.7120 2022/08/08 17:34:29 - mmengine - INFO - Epoch(train) [3][720/1879] lr: 1.1000e-02 eta: 19:03:55 time: 0.5639 data_time: 0.0256 memory: 13723 grad_norm: 5.7746 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5674 loss: 2.5674 2022/08/08 17:34:40 - mmengine - INFO - Epoch(train) [3][740/1879] lr: 1.1000e-02 eta: 19:02:20 time: 0.5668 data_time: 0.0260 memory: 13723 grad_norm: 5.6673 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.6849 loss: 2.6849 2022/08/08 17:34:51 - mmengine - INFO - Epoch(train) [3][760/1879] lr: 1.1000e-02 eta: 19:00:48 time: 0.5722 data_time: 0.0265 memory: 13723 grad_norm: 5.7414 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4388 loss: 2.4388 2022/08/08 17:35:03 - mmengine - INFO - Epoch(train) [3][780/1879] lr: 1.1000e-02 eta: 18:59:21 time: 0.5835 data_time: 0.0262 memory: 13723 grad_norm: 5.6820 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.3932 loss: 2.3932 2022/08/08 17:35:15 - mmengine - INFO - Epoch(train) [3][800/1879] lr: 1.1000e-02 eta: 18:58:04 time: 0.6066 data_time: 0.0602 memory: 13723 grad_norm: 5.7670 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4513 loss: 2.4513 2022/08/08 17:35:27 - mmengine - INFO - Epoch(train) [3][820/1879] lr: 1.1000e-02 eta: 18:56:34 time: 0.5721 data_time: 0.0236 memory: 13723 grad_norm: 5.6619 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5042 loss: 2.5042 2022/08/08 17:35:38 - mmengine - INFO - Epoch(train) [3][840/1879] lr: 1.1000e-02 eta: 18:55:00 time: 0.5618 data_time: 0.0238 memory: 13723 grad_norm: 5.8866 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.6254 loss: 2.6254 2022/08/08 17:35:49 - mmengine - INFO - Epoch(train) [3][860/1879] lr: 1.1000e-02 eta: 18:53:28 time: 0.5621 data_time: 0.0255 memory: 13723 grad_norm: 5.7455 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.3854 loss: 2.3854 2022/08/08 17:36:00 - mmengine - INFO - Epoch(train) [3][880/1879] lr: 1.1000e-02 eta: 18:51:57 time: 0.5658 data_time: 0.0248 memory: 13723 grad_norm: 5.7277 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.4185 loss: 2.4185 2022/08/08 17:36:12 - mmengine - INFO - Epoch(train) [3][900/1879] lr: 1.1000e-02 eta: 18:50:30 time: 0.5728 data_time: 0.0251 memory: 13723 grad_norm: 5.7022 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4089 loss: 2.4089 2022/08/08 17:36:23 - mmengine - INFO - Epoch(train) [3][920/1879] lr: 1.1000e-02 eta: 18:49:02 time: 0.5676 data_time: 0.0242 memory: 13723 grad_norm: 5.7574 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3360 loss: 2.3360 2022/08/08 17:36:35 - mmengine - INFO - Epoch(train) [3][940/1879] lr: 1.1000e-02 eta: 18:47:37 time: 0.5750 data_time: 0.0242 memory: 13723 grad_norm: 5.6946 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3443 loss: 2.3443 2022/08/08 17:36:47 - mmengine - INFO - Epoch(train) [3][960/1879] lr: 1.1000e-02 eta: 18:46:27 time: 0.6140 data_time: 0.0227 memory: 13723 grad_norm: 5.8367 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4593 loss: 2.4593 2022/08/08 17:36:59 - mmengine - INFO - Epoch(train) [3][980/1879] lr: 1.1000e-02 eta: 18:45:11 time: 0.5951 data_time: 0.0206 memory: 13723 grad_norm: 5.6602 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.6262 loss: 2.6262 2022/08/08 17:37:14 - mmengine - INFO - Epoch(train) [3][1000/1879] lr: 1.1000e-02 eta: 18:44:56 time: 0.7571 data_time: 0.0202 memory: 13723 grad_norm: 5.6563 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2934 loss: 2.2934 2022/08/08 17:37:27 - mmengine - INFO - Epoch(train) [3][1020/1879] lr: 1.1000e-02 eta: 18:44:05 time: 0.6612 data_time: 0.0210 memory: 13723 grad_norm: 5.6128 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2780 loss: 2.2780 2022/08/08 17:37:39 - mmengine - INFO - Epoch(train) [3][1040/1879] lr: 1.1000e-02 eta: 18:42:42 time: 0.5732 data_time: 0.0206 memory: 13723 grad_norm: 5.6729 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4305 loss: 2.4305 2022/08/08 17:37:51 - mmengine - INFO - Epoch(train) [3][1060/1879] lr: 1.1000e-02 eta: 18:41:41 time: 0.6321 data_time: 0.0230 memory: 13723 grad_norm: 5.6851 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4071 loss: 2.4071 2022/08/08 17:38:03 - mmengine - INFO - Epoch(train) [3][1080/1879] lr: 1.1000e-02 eta: 18:40:16 time: 0.5652 data_time: 0.0251 memory: 13723 grad_norm: 5.9353 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.4925 loss: 2.4925 2022/08/08 17:38:14 - mmengine - INFO - Epoch(train) [3][1100/1879] lr: 1.1000e-02 eta: 18:38:52 time: 0.5667 data_time: 0.0252 memory: 13723 grad_norm: 5.7286 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2868 loss: 2.2868 2022/08/08 17:38:25 - mmengine - INFO - Epoch(train) [3][1120/1879] lr: 1.1000e-02 eta: 18:37:27 time: 0.5624 data_time: 0.0253 memory: 13723 grad_norm: 5.7354 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.5651 loss: 2.5651 2022/08/08 17:38:37 - mmengine - INFO - Epoch(train) [3][1140/1879] lr: 1.1000e-02 eta: 18:36:04 time: 0.5659 data_time: 0.0242 memory: 13723 grad_norm: 5.7046 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4385 loss: 2.4385 2022/08/08 17:38:48 - mmengine - INFO - Epoch(train) [3][1160/1879] lr: 1.1000e-02 eta: 18:34:40 time: 0.5617 data_time: 0.0279 memory: 13723 grad_norm: 5.6071 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4027 loss: 2.4027 2022/08/08 17:38:59 - mmengine - INFO - Epoch(train) [3][1180/1879] lr: 1.1000e-02 eta: 18:33:19 time: 0.5666 data_time: 0.0245 memory: 13723 grad_norm: 5.6920 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6278 loss: 2.6278 2022/08/08 17:39:10 - mmengine - INFO - Epoch(train) [3][1200/1879] lr: 1.1000e-02 eta: 18:31:57 time: 0.5644 data_time: 0.0258 memory: 13723 grad_norm: 5.5374 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4211 loss: 2.4211 2022/08/08 17:39:22 - mmengine - INFO - Epoch(train) [3][1220/1879] lr: 1.1000e-02 eta: 18:30:37 time: 0.5674 data_time: 0.0249 memory: 13723 grad_norm: 5.7898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7308 loss: 2.7308 2022/08/08 17:39:33 - mmengine - INFO - Epoch(train) [3][1240/1879] lr: 1.1000e-02 eta: 18:29:17 time: 0.5668 data_time: 0.0267 memory: 13723 grad_norm: 5.6252 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.5093 loss: 2.5093 2022/08/08 17:39:34 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 17:39:44 - mmengine - INFO - Epoch(train) [3][1260/1879] lr: 1.1000e-02 eta: 18:27:56 time: 0.5623 data_time: 0.0225 memory: 13723 grad_norm: 5.6576 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6834 loss: 2.6834 2022/08/08 17:39:57 - mmengine - INFO - Epoch(train) [3][1280/1879] lr: 1.1000e-02 eta: 18:27:05 time: 0.6448 data_time: 0.0233 memory: 13723 grad_norm: 5.6712 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5546 loss: 2.5546 2022/08/08 17:40:14 - mmengine - INFO - Epoch(train) [3][1300/1879] lr: 1.1000e-02 eta: 18:27:25 time: 0.8475 data_time: 0.0236 memory: 13723 grad_norm: 5.6369 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4511 loss: 2.4511 2022/08/08 17:40:26 - mmengine - INFO - Epoch(train) [3][1320/1879] lr: 1.1000e-02 eta: 18:26:16 time: 0.5922 data_time: 0.0293 memory: 13723 grad_norm: 5.5804 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2781 loss: 2.2781 2022/08/08 17:40:38 - mmengine - INFO - Epoch(train) [3][1340/1879] lr: 1.1000e-02 eta: 18:25:03 time: 0.5816 data_time: 0.0264 memory: 13723 grad_norm: 5.6085 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4527 loss: 2.4527 2022/08/08 17:40:49 - mmengine - INFO - Epoch(train) [3][1360/1879] lr: 1.1000e-02 eta: 18:23:52 time: 0.5842 data_time: 0.0278 memory: 13723 grad_norm: 5.5686 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5319 loss: 2.5319 2022/08/08 17:41:01 - mmengine - INFO - Epoch(train) [3][1380/1879] lr: 1.1000e-02 eta: 18:22:37 time: 0.5714 data_time: 0.0246 memory: 13723 grad_norm: 5.6822 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4034 loss: 2.4034 2022/08/08 17:41:12 - mmengine - INFO - Epoch(train) [3][1400/1879] lr: 1.1000e-02 eta: 18:21:25 time: 0.5802 data_time: 0.0243 memory: 13723 grad_norm: 5.6185 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5810 loss: 2.5810 2022/08/08 17:41:24 - mmengine - INFO - Epoch(train) [3][1420/1879] lr: 1.1000e-02 eta: 18:20:14 time: 0.5810 data_time: 0.0273 memory: 13723 grad_norm: 5.5623 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4500 loss: 2.4500 2022/08/08 17:41:36 - mmengine - INFO - Epoch(train) [3][1440/1879] lr: 1.1000e-02 eta: 18:19:04 time: 0.5808 data_time: 0.0237 memory: 13723 grad_norm: 5.4959 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.3081 loss: 2.3081 2022/08/08 17:41:47 - mmengine - INFO - Epoch(train) [3][1460/1879] lr: 1.1000e-02 eta: 18:17:48 time: 0.5628 data_time: 0.0265 memory: 13723 grad_norm: 5.5997 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3045 loss: 2.3045 2022/08/08 17:41:59 - mmengine - INFO - Epoch(train) [3][1480/1879] lr: 1.1000e-02 eta: 18:16:43 time: 0.5939 data_time: 0.0576 memory: 13723 grad_norm: 5.6459 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5494 loss: 2.5494 2022/08/08 17:42:10 - mmengine - INFO - Epoch(train) [3][1500/1879] lr: 1.1000e-02 eta: 18:15:27 time: 0.5608 data_time: 0.0243 memory: 13723 grad_norm: 5.5502 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.3664 loss: 2.3664 2022/08/08 17:42:21 - mmengine - INFO - Epoch(train) [3][1520/1879] lr: 1.1000e-02 eta: 18:14:15 time: 0.5706 data_time: 0.0274 memory: 13723 grad_norm: 5.5047 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.5353 loss: 2.5353 2022/08/08 17:42:33 - mmengine - INFO - Epoch(train) [3][1540/1879] lr: 1.1000e-02 eta: 18:13:00 time: 0.5603 data_time: 0.0249 memory: 13723 grad_norm: 5.5280 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4970 loss: 2.4970 2022/08/08 17:42:44 - mmengine - INFO - Epoch(train) [3][1560/1879] lr: 1.1000e-02 eta: 18:11:47 time: 0.5651 data_time: 0.0253 memory: 13723 grad_norm: 5.5018 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3433 loss: 2.3433 2022/08/08 17:42:55 - mmengine - INFO - Epoch(train) [3][1580/1879] lr: 1.1000e-02 eta: 18:10:34 time: 0.5660 data_time: 0.0241 memory: 13723 grad_norm: 5.4915 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4047 loss: 2.4047 2022/08/08 17:43:07 - mmengine - INFO - Epoch(train) [3][1600/1879] lr: 1.1000e-02 eta: 18:09:23 time: 0.5680 data_time: 0.0276 memory: 13723 grad_norm: 5.5721 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4267 loss: 2.4267 2022/08/08 17:43:18 - mmengine - INFO - Epoch(train) [3][1620/1879] lr: 1.1000e-02 eta: 18:08:12 time: 0.5667 data_time: 0.0265 memory: 13723 grad_norm: 5.5910 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2874 loss: 2.2874 2022/08/08 17:43:29 - mmengine - INFO - Epoch(train) [3][1640/1879] lr: 1.1000e-02 eta: 18:07:01 time: 0.5650 data_time: 0.0246 memory: 13723 grad_norm: 5.5283 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4849 loss: 2.4849 2022/08/08 17:43:41 - mmengine - INFO - Epoch(train) [3][1660/1879] lr: 1.1000e-02 eta: 18:05:51 time: 0.5676 data_time: 0.0241 memory: 13723 grad_norm: 5.3408 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3683 loss: 2.3683 2022/08/08 17:43:52 - mmengine - INFO - Epoch(train) [3][1680/1879] lr: 1.1000e-02 eta: 18:04:42 time: 0.5683 data_time: 0.0261 memory: 13723 grad_norm: 5.4870 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4063 loss: 2.4063 2022/08/08 17:44:03 - mmengine - INFO - Epoch(train) [3][1700/1879] lr: 1.1000e-02 eta: 18:03:32 time: 0.5668 data_time: 0.0241 memory: 13723 grad_norm: 5.4387 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3237 loss: 2.3237 2022/08/08 17:44:15 - mmengine - INFO - Epoch(train) [3][1720/1879] lr: 1.1000e-02 eta: 18:02:29 time: 0.5845 data_time: 0.0231 memory: 13723 grad_norm: 5.4883 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5192 loss: 2.5192 2022/08/08 17:44:27 - mmengine - INFO - Epoch(train) [3][1740/1879] lr: 1.1000e-02 eta: 18:01:24 time: 0.5785 data_time: 0.0396 memory: 13723 grad_norm: 5.5366 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3315 loss: 2.3315 2022/08/08 17:44:38 - mmengine - INFO - Epoch(train) [3][1760/1879] lr: 1.1000e-02 eta: 18:00:16 time: 0.5667 data_time: 0.0271 memory: 13723 grad_norm: 5.4331 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5559 loss: 2.5559 2022/08/08 17:44:49 - mmengine - INFO - Epoch(train) [3][1780/1879] lr: 1.1000e-02 eta: 17:59:09 time: 0.5692 data_time: 0.0260 memory: 13723 grad_norm: 5.4370 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2665 loss: 2.2665 2022/08/08 17:45:01 - mmengine - INFO - Epoch(train) [3][1800/1879] lr: 1.1000e-02 eta: 17:58:02 time: 0.5681 data_time: 0.0234 memory: 13723 grad_norm: 5.5126 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5560 loss: 2.5560 2022/08/08 17:45:12 - mmengine - INFO - Epoch(train) [3][1820/1879] lr: 1.1000e-02 eta: 17:56:57 time: 0.5708 data_time: 0.0278 memory: 13723 grad_norm: 5.3778 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3368 loss: 2.3368 2022/08/08 17:45:24 - mmengine - INFO - Epoch(train) [3][1840/1879] lr: 1.1000e-02 eta: 17:55:53 time: 0.5768 data_time: 0.0227 memory: 13723 grad_norm: 5.2955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1028 loss: 2.1028 2022/08/08 17:45:35 - mmengine - INFO - Epoch(train) [3][1860/1879] lr: 1.1000e-02 eta: 17:54:54 time: 0.5893 data_time: 0.0283 memory: 13723 grad_norm: 5.4589 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4829 loss: 2.4829 2022/08/08 17:45:46 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 17:45:46 - mmengine - INFO - Epoch(train) [3][1879/1879] lr: 1.1000e-02 eta: 17:54:54 time: 0.5415 data_time: 0.0172 memory: 13723 grad_norm: 5.5306 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.5169 loss: 2.5169 2022/08/08 17:45:46 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/08/08 17:46:01 - mmengine - INFO - Epoch(val) [3][20/155] eta: 0:01:30 time: 0.6728 data_time: 0.5315 memory: 1829 2022/08/08 17:46:10 - mmengine - INFO - Epoch(val) [3][40/155] eta: 0:00:51 time: 0.4453 data_time: 0.3064 memory: 1829 2022/08/08 17:46:22 - mmengine - INFO - Epoch(val) [3][60/155] eta: 0:00:59 time: 0.6300 data_time: 0.4900 memory: 1829 2022/08/08 17:46:32 - mmengine - INFO - Epoch(val) [3][80/155] eta: 0:00:35 time: 0.4670 data_time: 0.3278 memory: 1829 2022/08/08 17:46:44 - mmengine - INFO - Epoch(val) [3][100/155] eta: 0:00:34 time: 0.6279 data_time: 0.4884 memory: 1829 2022/08/08 17:46:53 - mmengine - INFO - Epoch(val) [3][120/155] eta: 0:00:15 time: 0.4457 data_time: 0.3070 memory: 1829 2022/08/08 17:47:06 - mmengine - INFO - Epoch(val) [3][140/155] eta: 0:00:09 time: 0.6556 data_time: 0.5156 memory: 1829 2022/08/08 17:47:14 - mmengine - INFO - Epoch(val) [3][155/155] acc/top1: 0.4525 acc/top5: 0.7246 acc/mean1: 0.4523 2022/08/08 17:47:30 - mmengine - INFO - Epoch(train) [4][20/1879] lr: 1.5500e-02 eta: 17:51:17 time: 0.8189 data_time: 0.2296 memory: 13723 grad_norm: 5.5778 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4242 loss: 2.4242 2022/08/08 17:47:42 - mmengine - INFO - Epoch(train) [4][40/1879] lr: 1.5500e-02 eta: 17:50:14 time: 0.5722 data_time: 0.0223 memory: 13723 grad_norm: 5.4132 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6203 loss: 2.6203 2022/08/08 17:47:53 - mmengine - INFO - Epoch(train) [4][60/1879] lr: 1.5500e-02 eta: 17:49:17 time: 0.5912 data_time: 0.0272 memory: 13723 grad_norm: 5.4899 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.4389 loss: 2.4389 2022/08/08 17:48:05 - mmengine - INFO - Epoch(train) [4][80/1879] lr: 1.5500e-02 eta: 17:48:16 time: 0.5760 data_time: 0.0253 memory: 13723 grad_norm: 5.4260 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.4089 loss: 2.4089 2022/08/08 17:48:16 - mmengine - INFO - Epoch(train) [4][100/1879] lr: 1.5500e-02 eta: 17:47:15 time: 0.5748 data_time: 0.0253 memory: 13723 grad_norm: 5.5907 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4843 loss: 2.4843 2022/08/08 17:48:28 - mmengine - INFO - Epoch(train) [4][120/1879] lr: 1.5500e-02 eta: 17:46:14 time: 0.5746 data_time: 0.0275 memory: 13723 grad_norm: 5.6709 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6257 loss: 2.6257 2022/08/08 17:48:39 - mmengine - INFO - Epoch(train) [4][140/1879] lr: 1.5500e-02 eta: 17:45:14 time: 0.5763 data_time: 0.0293 memory: 13723 grad_norm: 5.3580 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.3558 loss: 2.3558 2022/08/08 17:48:51 - mmengine - INFO - Epoch(train) [4][160/1879] lr: 1.5500e-02 eta: 17:44:16 time: 0.5804 data_time: 0.0293 memory: 13723 grad_norm: 5.3793 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5899 loss: 2.5899 2022/08/08 17:49:03 - mmengine - INFO - Epoch(train) [4][180/1879] lr: 1.5500e-02 eta: 17:43:17 time: 0.5781 data_time: 0.0271 memory: 13723 grad_norm: 5.4703 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5175 loss: 2.5175 2022/08/08 17:49:14 - mmengine - INFO - Epoch(train) [4][200/1879] lr: 1.5500e-02 eta: 17:42:20 time: 0.5826 data_time: 0.0254 memory: 13723 grad_norm: 5.3973 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.6359 loss: 2.6359 2022/08/08 17:49:26 - mmengine - INFO - Epoch(train) [4][220/1879] lr: 1.5500e-02 eta: 17:41:19 time: 0.5707 data_time: 0.0282 memory: 13723 grad_norm: 5.2886 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.7500 loss: 2.7500 2022/08/08 17:49:37 - mmengine - INFO - Epoch(train) [4][240/1879] lr: 1.5500e-02 eta: 17:40:18 time: 0.5671 data_time: 0.0246 memory: 13723 grad_norm: 5.1755 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3509 loss: 2.3509 2022/08/08 17:49:48 - mmengine - INFO - Epoch(train) [4][260/1879] lr: 1.5500e-02 eta: 17:39:16 time: 0.5631 data_time: 0.0262 memory: 13723 grad_norm: 5.2493 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3645 loss: 2.3645 2022/08/08 17:50:00 - mmengine - INFO - Epoch(train) [4][280/1879] lr: 1.5500e-02 eta: 17:38:18 time: 0.5762 data_time: 0.0254 memory: 13723 grad_norm: 5.3081 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4261 loss: 2.4261 2022/08/08 17:50:11 - mmengine - INFO - Epoch(train) [4][300/1879] lr: 1.5500e-02 eta: 17:37:20 time: 0.5740 data_time: 0.0280 memory: 13723 grad_norm: 5.2330 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3633 loss: 2.3633 2022/08/08 17:50:24 - mmengine - INFO - Epoch(train) [4][320/1879] lr: 1.5500e-02 eta: 17:36:46 time: 0.6537 data_time: 0.0262 memory: 13723 grad_norm: 5.2183 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3274 loss: 2.3274 2022/08/08 17:50:37 - mmengine - INFO - Epoch(train) [4][340/1879] lr: 1.5500e-02 eta: 17:36:04 time: 0.6271 data_time: 0.0222 memory: 13723 grad_norm: 5.1733 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4079 loss: 2.4079 2022/08/08 17:50:49 - mmengine - INFO - Epoch(train) [4][360/1879] lr: 1.5500e-02 eta: 17:35:09 time: 0.5827 data_time: 0.0247 memory: 13723 grad_norm: 5.2883 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4102 loss: 2.4102 2022/08/08 17:50:50 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 17:51:00 - mmengine - INFO - Epoch(train) [4][380/1879] lr: 1.5500e-02 eta: 17:34:11 time: 0.5677 data_time: 0.0247 memory: 13723 grad_norm: 5.2742 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3525 loss: 2.3525 2022/08/08 17:51:11 - mmengine - INFO - Epoch(train) [4][400/1879] lr: 1.5500e-02 eta: 17:33:12 time: 0.5690 data_time: 0.0261 memory: 13723 grad_norm: 5.2872 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5783 loss: 2.5783 2022/08/08 17:51:23 - mmengine - INFO - Epoch(train) [4][420/1879] lr: 1.5500e-02 eta: 17:32:15 time: 0.5704 data_time: 0.0253 memory: 13723 grad_norm: 5.1630 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3856 loss: 2.3856 2022/08/08 17:51:34 - mmengine - INFO - Epoch(train) [4][440/1879] lr: 1.5500e-02 eta: 17:31:17 time: 0.5678 data_time: 0.0243 memory: 13723 grad_norm: 5.1926 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4990 loss: 2.4990 2022/08/08 17:51:45 - mmengine - INFO - Epoch(train) [4][460/1879] lr: 1.5500e-02 eta: 17:30:20 time: 0.5700 data_time: 0.0267 memory: 13723 grad_norm: 5.1954 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4596 loss: 2.4596 2022/08/08 17:51:57 - mmengine - INFO - Epoch(train) [4][480/1879] lr: 1.5500e-02 eta: 17:29:23 time: 0.5689 data_time: 0.0299 memory: 13723 grad_norm: 5.0138 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3025 loss: 2.3025 2022/08/08 17:52:08 - mmengine - INFO - Epoch(train) [4][500/1879] lr: 1.5500e-02 eta: 17:28:27 time: 0.5694 data_time: 0.0250 memory: 13723 grad_norm: 5.2536 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6630 loss: 2.6630 2022/08/08 17:52:20 - mmengine - INFO - Epoch(train) [4][520/1879] lr: 1.5500e-02 eta: 17:27:29 time: 0.5651 data_time: 0.0267 memory: 13723 grad_norm: 5.0497 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3497 loss: 2.3497 2022/08/08 17:52:31 - mmengine - INFO - Epoch(train) [4][540/1879] lr: 1.5500e-02 eta: 17:26:33 time: 0.5687 data_time: 0.0259 memory: 13723 grad_norm: 5.2217 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3584 loss: 2.3584 2022/08/08 17:52:42 - mmengine - INFO - Epoch(train) [4][560/1879] lr: 1.5500e-02 eta: 17:25:37 time: 0.5692 data_time: 0.0238 memory: 13723 grad_norm: 4.9957 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3096 loss: 2.3096 2022/08/08 17:52:54 - mmengine - INFO - Epoch(train) [4][580/1879] lr: 1.5500e-02 eta: 17:24:41 time: 0.5648 data_time: 0.0270 memory: 13723 grad_norm: 5.0930 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4334 loss: 2.4334 2022/08/08 17:53:05 - mmengine - INFO - Epoch(train) [4][600/1879] lr: 1.5500e-02 eta: 17:23:45 time: 0.5670 data_time: 0.0255 memory: 13723 grad_norm: 5.2776 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3958 loss: 2.3958 2022/08/08 17:53:16 - mmengine - INFO - Epoch(train) [4][620/1879] lr: 1.5500e-02 eta: 17:22:50 time: 0.5700 data_time: 0.0250 memory: 13723 grad_norm: 5.0858 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4524 loss: 2.4524 2022/08/08 17:53:28 - mmengine - INFO - Epoch(train) [4][640/1879] lr: 1.5500e-02 eta: 17:21:54 time: 0.5638 data_time: 0.0251 memory: 13723 grad_norm: 5.0991 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4518 loss: 2.4518 2022/08/08 17:53:39 - mmengine - INFO - Epoch(train) [4][660/1879] lr: 1.5500e-02 eta: 17:21:01 time: 0.5740 data_time: 0.0255 memory: 13723 grad_norm: 5.2075 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.4635 loss: 2.4635 2022/08/08 17:53:50 - mmengine - INFO - Epoch(train) [4][680/1879] lr: 1.5500e-02 eta: 17:20:05 time: 0.5607 data_time: 0.0279 memory: 13723 grad_norm: 5.1476 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6505 loss: 2.6505 2022/08/08 17:54:02 - mmengine - INFO - Epoch(train) [4][700/1879] lr: 1.5500e-02 eta: 17:19:08 time: 0.5597 data_time: 0.0236 memory: 13723 grad_norm: 5.2990 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5542 loss: 2.5542 2022/08/08 17:54:13 - mmengine - INFO - Epoch(train) [4][720/1879] lr: 1.5500e-02 eta: 17:18:19 time: 0.5829 data_time: 0.0268 memory: 13723 grad_norm: 5.0720 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.4232 loss: 2.4232 2022/08/08 17:54:24 - mmengine - INFO - Epoch(train) [4][740/1879] lr: 1.5500e-02 eta: 17:17:22 time: 0.5559 data_time: 0.0239 memory: 13723 grad_norm: 5.0954 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.3992 loss: 2.3992 2022/08/08 17:54:36 - mmengine - INFO - Epoch(train) [4][760/1879] lr: 1.5500e-02 eta: 17:16:30 time: 0.5732 data_time: 0.0296 memory: 13723 grad_norm: 5.0588 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4689 loss: 2.4689 2022/08/08 17:54:47 - mmengine - INFO - Epoch(train) [4][780/1879] lr: 1.5500e-02 eta: 17:15:36 time: 0.5640 data_time: 0.0239 memory: 13723 grad_norm: 4.9999 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 2.1460 loss: 2.1460 2022/08/08 17:54:58 - mmengine - INFO - Epoch(train) [4][800/1879] lr: 1.5500e-02 eta: 17:14:44 time: 0.5721 data_time: 0.0282 memory: 13723 grad_norm: 5.1798 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5131 loss: 2.5131 2022/08/08 17:55:10 - mmengine - INFO - Epoch(train) [4][820/1879] lr: 1.5500e-02 eta: 17:13:54 time: 0.5752 data_time: 0.0254 memory: 13723 grad_norm: 5.1293 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3534 loss: 2.3534 2022/08/08 17:55:21 - mmengine - INFO - Epoch(train) [4][840/1879] lr: 1.5500e-02 eta: 17:13:02 time: 0.5721 data_time: 0.0232 memory: 13723 grad_norm: 4.9983 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.6299 loss: 2.6299 2022/08/08 17:55:33 - mmengine - INFO - Epoch(train) [4][860/1879] lr: 1.5500e-02 eta: 17:12:17 time: 0.5934 data_time: 0.0470 memory: 13723 grad_norm: 5.0279 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1876 loss: 2.1876 2022/08/08 17:55:45 - mmengine - INFO - Epoch(train) [4][880/1879] lr: 1.5500e-02 eta: 17:11:25 time: 0.5652 data_time: 0.0272 memory: 13723 grad_norm: 5.0978 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.3911 loss: 2.3911 2022/08/08 17:55:56 - mmengine - INFO - Epoch(train) [4][900/1879] lr: 1.5500e-02 eta: 17:10:33 time: 0.5675 data_time: 0.0266 memory: 13723 grad_norm: 4.9393 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3407 loss: 2.3407 2022/08/08 17:56:07 - mmengine - INFO - Epoch(train) [4][920/1879] lr: 1.5500e-02 eta: 17:09:41 time: 0.5662 data_time: 0.0272 memory: 13723 grad_norm: 4.9788 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3188 loss: 2.3188 2022/08/08 17:56:19 - mmengine - INFO - Epoch(train) [4][940/1879] lr: 1.5500e-02 eta: 17:08:50 time: 0.5683 data_time: 0.0261 memory: 13723 grad_norm: 4.9038 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.2485 loss: 2.2485 2022/08/08 17:56:30 - mmengine - INFO - Epoch(train) [4][960/1879] lr: 1.5500e-02 eta: 17:07:59 time: 0.5672 data_time: 0.0294 memory: 13723 grad_norm: 5.1661 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.4561 loss: 2.4561 2022/08/08 17:56:41 - mmengine - INFO - Epoch(train) [4][980/1879] lr: 1.5500e-02 eta: 17:07:07 time: 0.5632 data_time: 0.0232 memory: 13723 grad_norm: 4.9397 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2673 loss: 2.2673 2022/08/08 17:56:53 - mmengine - INFO - Epoch(train) [4][1000/1879] lr: 1.5500e-02 eta: 17:06:21 time: 0.5834 data_time: 0.0268 memory: 13723 grad_norm: 4.9678 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2704 loss: 2.2704 2022/08/08 17:57:04 - mmengine - INFO - Epoch(train) [4][1020/1879] lr: 1.5500e-02 eta: 17:05:28 time: 0.5579 data_time: 0.0237 memory: 13723 grad_norm: 4.9679 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3472 loss: 2.3472 2022/08/08 17:57:15 - mmengine - INFO - Epoch(train) [4][1040/1879] lr: 1.5500e-02 eta: 17:04:38 time: 0.5681 data_time: 0.0253 memory: 13723 grad_norm: 5.0999 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5029 loss: 2.5029 2022/08/08 17:57:27 - mmengine - INFO - Epoch(train) [4][1060/1879] lr: 1.5500e-02 eta: 17:03:48 time: 0.5659 data_time: 0.0260 memory: 13723 grad_norm: 4.9389 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3941 loss: 2.3941 2022/08/08 17:57:38 - mmengine - INFO - Epoch(train) [4][1080/1879] lr: 1.5500e-02 eta: 17:03:00 time: 0.5709 data_time: 0.0249 memory: 13723 grad_norm: 5.0883 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5920 loss: 2.5920 2022/08/08 17:57:49 - mmengine - INFO - Epoch(train) [4][1100/1879] lr: 1.5500e-02 eta: 17:02:09 time: 0.5647 data_time: 0.0265 memory: 13723 grad_norm: 5.0317 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.5487 loss: 2.5487 2022/08/08 17:58:01 - mmengine - INFO - Epoch(train) [4][1120/1879] lr: 1.5500e-02 eta: 17:01:24 time: 0.5797 data_time: 0.0477 memory: 13723 grad_norm: 4.8013 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3626 loss: 2.3626 2022/08/08 17:58:12 - mmengine - INFO - Epoch(train) [4][1140/1879] lr: 1.5500e-02 eta: 17:00:32 time: 0.5590 data_time: 0.0257 memory: 13723 grad_norm: 4.9045 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.3110 loss: 2.3110 2022/08/08 17:58:24 - mmengine - INFO - Epoch(train) [4][1160/1879] lr: 1.5500e-02 eta: 16:59:42 time: 0.5622 data_time: 0.0257 memory: 13723 grad_norm: 4.9039 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.3551 loss: 2.3551 2022/08/08 17:58:35 - mmengine - INFO - Epoch(train) [4][1180/1879] lr: 1.5500e-02 eta: 16:58:54 time: 0.5660 data_time: 0.0251 memory: 13723 grad_norm: 5.0257 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5650 loss: 2.5650 2022/08/08 17:58:46 - mmengine - INFO - Epoch(train) [4][1200/1879] lr: 1.5500e-02 eta: 16:58:05 time: 0.5642 data_time: 0.0252 memory: 13723 grad_norm: 5.0353 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4526 loss: 2.4526 2022/08/08 17:58:57 - mmengine - INFO - Epoch(train) [4][1220/1879] lr: 1.5500e-02 eta: 16:57:16 time: 0.5649 data_time: 0.0253 memory: 13723 grad_norm: 4.8704 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3341 loss: 2.3341 2022/08/08 17:59:09 - mmengine - INFO - Epoch(train) [4][1240/1879] lr: 1.5500e-02 eta: 16:56:28 time: 0.5681 data_time: 0.0267 memory: 13723 grad_norm: 4.8502 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1954 loss: 2.1954 2022/08/08 17:59:20 - mmengine - INFO - Epoch(train) [4][1260/1879] lr: 1.5500e-02 eta: 16:55:40 time: 0.5638 data_time: 0.0266 memory: 13723 grad_norm: 4.9171 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2171 loss: 2.2171 2022/08/08 17:59:31 - mmengine - INFO - Epoch(train) [4][1280/1879] lr: 1.5500e-02 eta: 16:54:52 time: 0.5645 data_time: 0.0232 memory: 13723 grad_norm: 5.0542 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5011 loss: 2.5011 2022/08/08 17:59:43 - mmengine - INFO - Epoch(train) [4][1300/1879] lr: 1.5500e-02 eta: 16:54:05 time: 0.5701 data_time: 0.0246 memory: 13723 grad_norm: 4.9313 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3189 loss: 2.3189 2022/08/08 17:59:55 - mmengine - INFO - Epoch(train) [4][1320/1879] lr: 1.5500e-02 eta: 16:53:25 time: 0.5962 data_time: 0.0211 memory: 13723 grad_norm: 4.9560 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5449 loss: 2.5449 2022/08/08 18:00:15 - mmengine - INFO - Epoch(train) [4][1340/1879] lr: 1.5500e-02 eta: 16:54:27 time: 1.0008 data_time: 0.0245 memory: 13723 grad_norm: 4.8241 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2983 loss: 2.2983 2022/08/08 18:00:27 - mmengine - INFO - Epoch(train) [4][1360/1879] lr: 1.5500e-02 eta: 16:53:55 time: 0.6285 data_time: 0.0271 memory: 13723 grad_norm: 4.8340 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.2434 loss: 2.2434 2022/08/08 18:00:29 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 18:00:41 - mmengine - INFO - Epoch(train) [4][1380/1879] lr: 1.5500e-02 eta: 16:53:32 time: 0.6635 data_time: 0.0233 memory: 13723 grad_norm: 4.8009 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1457 loss: 2.1457 2022/08/08 18:00:52 - mmengine - INFO - Epoch(train) [4][1400/1879] lr: 1.5500e-02 eta: 16:52:46 time: 0.5699 data_time: 0.0224 memory: 13723 grad_norm: 5.0353 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2181 loss: 2.2181 2022/08/08 18:01:05 - mmengine - INFO - Epoch(train) [4][1420/1879] lr: 1.5500e-02 eta: 16:52:16 time: 0.6318 data_time: 0.0216 memory: 13723 grad_norm: 4.8659 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3533 loss: 2.3533 2022/08/08 18:01:16 - mmengine - INFO - Epoch(train) [4][1440/1879] lr: 1.5500e-02 eta: 16:51:30 time: 0.5703 data_time: 0.0261 memory: 13723 grad_norm: 4.9386 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1841 loss: 2.1841 2022/08/08 18:01:28 - mmengine - INFO - Epoch(train) [4][1460/1879] lr: 1.5500e-02 eta: 16:50:52 time: 0.5991 data_time: 0.0240 memory: 13723 grad_norm: 4.8076 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3918 loss: 2.3918 2022/08/08 18:01:39 - mmengine - INFO - Epoch(train) [4][1480/1879] lr: 1.5500e-02 eta: 16:50:06 time: 0.5679 data_time: 0.0243 memory: 13723 grad_norm: 4.8504 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3794 loss: 2.3794 2022/08/08 18:01:51 - mmengine - INFO - Epoch(train) [4][1500/1879] lr: 1.5500e-02 eta: 16:49:24 time: 0.5833 data_time: 0.0226 memory: 13723 grad_norm: 4.7641 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 2.3144 loss: 2.3144 2022/08/08 18:02:02 - mmengine - INFO - Epoch(train) [4][1520/1879] lr: 1.5500e-02 eta: 16:48:40 time: 0.5717 data_time: 0.0223 memory: 13723 grad_norm: 4.8438 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4882 loss: 2.4882 2022/08/08 18:02:14 - mmengine - INFO - Epoch(train) [4][1540/1879] lr: 1.5500e-02 eta: 16:47:55 time: 0.5724 data_time: 0.0234 memory: 13723 grad_norm: 4.8693 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3354 loss: 2.3354 2022/08/08 18:02:27 - mmengine - INFO - Epoch(train) [4][1560/1879] lr: 1.5500e-02 eta: 16:47:31 time: 0.6531 data_time: 0.0232 memory: 13723 grad_norm: 4.7522 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5442 loss: 2.5442 2022/08/08 18:02:38 - mmengine - INFO - Epoch(train) [4][1580/1879] lr: 1.5500e-02 eta: 16:46:47 time: 0.5715 data_time: 0.0246 memory: 13723 grad_norm: 4.8710 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4726 loss: 2.4726 2022/08/08 18:02:51 - mmengine - INFO - Epoch(train) [4][1600/1879] lr: 1.5500e-02 eta: 16:46:19 time: 0.6392 data_time: 0.0258 memory: 13723 grad_norm: 4.7784 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0771 loss: 2.0771 2022/08/08 18:03:03 - mmengine - INFO - Epoch(train) [4][1620/1879] lr: 1.5500e-02 eta: 16:45:44 time: 0.6086 data_time: 0.0220 memory: 13723 grad_norm: 4.8620 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1483 loss: 2.1483 2022/08/08 18:03:18 - mmengine - INFO - Epoch(train) [4][1640/1879] lr: 1.5500e-02 eta: 16:45:34 time: 0.7115 data_time: 0.0208 memory: 13723 grad_norm: 4.6827 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2373 loss: 2.2373 2022/08/08 18:03:31 - mmengine - INFO - Epoch(train) [4][1660/1879] lr: 1.5500e-02 eta: 16:45:11 time: 0.6588 data_time: 0.0199 memory: 13723 grad_norm: 4.6760 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4739 loss: 2.4739 2022/08/08 18:03:43 - mmengine - INFO - Epoch(train) [4][1680/1879] lr: 1.5500e-02 eta: 16:44:34 time: 0.5969 data_time: 0.0261 memory: 13723 grad_norm: 4.7622 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2650 loss: 2.2650 2022/08/08 18:03:54 - mmengine - INFO - Epoch(train) [4][1700/1879] lr: 1.5500e-02 eta: 16:43:52 time: 0.5775 data_time: 0.0223 memory: 13723 grad_norm: 4.8796 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2672 loss: 2.2672 2022/08/08 18:04:06 - mmengine - INFO - Epoch(train) [4][1720/1879] lr: 1.5500e-02 eta: 16:43:10 time: 0.5744 data_time: 0.0287 memory: 13723 grad_norm: 4.7103 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2856 loss: 2.2856 2022/08/08 18:04:17 - mmengine - INFO - Epoch(train) [4][1740/1879] lr: 1.5500e-02 eta: 16:42:27 time: 0.5736 data_time: 0.0232 memory: 13723 grad_norm: 4.6231 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4730 loss: 2.4730 2022/08/08 18:04:29 - mmengine - INFO - Epoch(train) [4][1760/1879] lr: 1.5500e-02 eta: 16:41:47 time: 0.5839 data_time: 0.0459 memory: 13723 grad_norm: 4.8040 top1_acc: 0.3125 top5_acc: 0.9375 loss_cls: 2.3820 loss: 2.3820 2022/08/08 18:04:40 - mmengine - INFO - Epoch(train) [4][1780/1879] lr: 1.5500e-02 eta: 16:41:05 time: 0.5716 data_time: 0.0255 memory: 13723 grad_norm: 4.7858 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0186 loss: 2.0186 2022/08/08 18:04:52 - mmengine - INFO - Epoch(train) [4][1800/1879] lr: 1.5500e-02 eta: 16:40:29 time: 0.5983 data_time: 0.0601 memory: 13723 grad_norm: 4.8341 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4928 loss: 2.4928 2022/08/08 18:05:03 - mmengine - INFO - Epoch(train) [4][1820/1879] lr: 1.5500e-02 eta: 16:39:44 time: 0.5593 data_time: 0.0264 memory: 13723 grad_norm: 4.7724 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2046 loss: 2.2046 2022/08/08 18:05:18 - mmengine - INFO - Epoch(train) [4][1840/1879] lr: 1.5500e-02 eta: 16:39:34 time: 0.7110 data_time: 0.0559 memory: 13723 grad_norm: 4.7426 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2630 loss: 2.2630 2022/08/08 18:05:29 - mmengine - INFO - Epoch(train) [4][1860/1879] lr: 1.5500e-02 eta: 16:38:55 time: 0.5855 data_time: 0.0277 memory: 13723 grad_norm: 4.8924 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2726 loss: 2.2726 2022/08/08 18:05:40 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 18:05:40 - mmengine - INFO - Epoch(train) [4][1879/1879] lr: 1.5500e-02 eta: 16:38:55 time: 0.5429 data_time: 0.0195 memory: 13723 grad_norm: 4.7944 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 2.2697 loss: 2.2697 2022/08/08 18:05:53 - mmengine - INFO - Epoch(val) [4][20/155] eta: 0:01:30 time: 0.6709 data_time: 0.5307 memory: 1829 2022/08/08 18:06:04 - mmengine - INFO - Epoch(val) [4][40/155] eta: 0:01:01 time: 0.5337 data_time: 0.3942 memory: 1829 2022/08/08 18:06:15 - mmengine - INFO - Epoch(val) [4][60/155] eta: 0:00:50 time: 0.5366 data_time: 0.3967 memory: 1829 2022/08/08 18:06:25 - mmengine - INFO - Epoch(val) [4][80/155] eta: 0:00:40 time: 0.5374 data_time: 0.3975 memory: 1829 2022/08/08 18:06:38 - mmengine - INFO - Epoch(val) [4][100/155] eta: 0:00:33 time: 0.6127 data_time: 0.4728 memory: 1829 2022/08/08 18:06:48 - mmengine - INFO - Epoch(val) [4][120/155] eta: 0:00:18 time: 0.5294 data_time: 0.3901 memory: 1829 2022/08/08 18:06:58 - mmengine - INFO - Epoch(val) [4][140/155] eta: 0:00:07 time: 0.4929 data_time: 0.3538 memory: 1829 2022/08/08 18:07:07 - mmengine - INFO - Epoch(val) [4][155/155] acc/top1: 0.4921 acc/top5: 0.7601 acc/mean1: 0.4918 2022/08/08 18:07:25 - mmengine - INFO - Epoch(train) [5][20/1879] lr: 2.0000e-02 eta: 16:36:46 time: 0.9063 data_time: 0.2127 memory: 13723 grad_norm: 4.7507 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1709 loss: 2.1709 2022/08/08 18:07:38 - mmengine - INFO - Epoch(train) [5][40/1879] lr: 2.0000e-02 eta: 16:36:17 time: 0.6275 data_time: 0.0199 memory: 13723 grad_norm: 4.7421 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3618 loss: 2.3618 2022/08/08 18:07:49 - mmengine - INFO - Epoch(train) [5][60/1879] lr: 2.0000e-02 eta: 16:35:36 time: 0.5710 data_time: 0.0223 memory: 13723 grad_norm: 4.6731 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9785 loss: 1.9785 2022/08/08 18:08:00 - mmengine - INFO - Epoch(train) [5][80/1879] lr: 2.0000e-02 eta: 16:34:53 time: 0.5648 data_time: 0.0245 memory: 13723 grad_norm: 4.7214 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3514 loss: 2.3514 2022/08/08 18:08:12 - mmengine - INFO - Epoch(train) [5][100/1879] lr: 2.0000e-02 eta: 16:34:11 time: 0.5648 data_time: 0.0274 memory: 13723 grad_norm: 4.6513 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1913 loss: 2.1913 2022/08/08 18:08:23 - mmengine - INFO - Epoch(train) [5][120/1879] lr: 2.0000e-02 eta: 16:33:29 time: 0.5678 data_time: 0.0254 memory: 13723 grad_norm: 4.7349 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3402 loss: 2.3402 2022/08/08 18:08:34 - mmengine - INFO - Epoch(train) [5][140/1879] lr: 2.0000e-02 eta: 16:32:47 time: 0.5664 data_time: 0.0255 memory: 13723 grad_norm: 4.7584 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1396 loss: 2.1396 2022/08/08 18:08:46 - mmengine - INFO - Epoch(train) [5][160/1879] lr: 2.0000e-02 eta: 16:32:11 time: 0.5929 data_time: 0.0533 memory: 13723 grad_norm: 4.6429 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3935 loss: 2.3935 2022/08/08 18:08:58 - mmengine - INFO - Epoch(train) [5][180/1879] lr: 2.0000e-02 eta: 16:31:29 time: 0.5609 data_time: 0.0241 memory: 13723 grad_norm: 4.7454 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.1332 loss: 2.1332 2022/08/08 18:09:09 - mmengine - INFO - Epoch(train) [5][200/1879] lr: 2.0000e-02 eta: 16:30:47 time: 0.5647 data_time: 0.0248 memory: 13723 grad_norm: 4.6844 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2151 loss: 2.2151 2022/08/08 18:09:20 - mmengine - INFO - Epoch(train) [5][220/1879] lr: 2.0000e-02 eta: 16:30:07 time: 0.5726 data_time: 0.0269 memory: 13723 grad_norm: 4.5168 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3560 loss: 2.3560 2022/08/08 18:09:32 - mmengine - INFO - Epoch(train) [5][240/1879] lr: 2.0000e-02 eta: 16:29:27 time: 0.5687 data_time: 0.0235 memory: 13723 grad_norm: 4.6524 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3541 loss: 2.3541 2022/08/08 18:09:43 - mmengine - INFO - Epoch(train) [5][260/1879] lr: 2.0000e-02 eta: 16:28:45 time: 0.5645 data_time: 0.0257 memory: 13723 grad_norm: 4.7055 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4028 loss: 2.4028 2022/08/08 18:09:54 - mmengine - INFO - Epoch(train) [5][280/1879] lr: 2.0000e-02 eta: 16:28:07 time: 0.5778 data_time: 0.0346 memory: 13723 grad_norm: 4.6802 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3138 loss: 2.3138 2022/08/08 18:10:06 - mmengine - INFO - Epoch(train) [5][300/1879] lr: 2.0000e-02 eta: 16:27:29 time: 0.5770 data_time: 0.0254 memory: 13723 grad_norm: 4.5612 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4010 loss: 2.4010 2022/08/08 18:10:19 - mmengine - INFO - Epoch(train) [5][320/1879] lr: 2.0000e-02 eta: 16:27:01 time: 0.6255 data_time: 0.0850 memory: 13723 grad_norm: 4.6096 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2675 loss: 2.2675 2022/08/08 18:10:30 - mmengine - INFO - Epoch(train) [5][340/1879] lr: 2.0000e-02 eta: 16:26:23 time: 0.5743 data_time: 0.0265 memory: 13723 grad_norm: 4.5957 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3551 loss: 2.3551 2022/08/08 18:10:42 - mmengine - INFO - Epoch(train) [5][360/1879] lr: 2.0000e-02 eta: 16:25:48 time: 0.5907 data_time: 0.0248 memory: 13723 grad_norm: 4.6173 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.4855 loss: 2.4855 2022/08/08 18:10:53 - mmengine - INFO - Epoch(train) [5][380/1879] lr: 2.0000e-02 eta: 16:25:10 time: 0.5761 data_time: 0.0256 memory: 13723 grad_norm: 4.6054 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.3078 loss: 2.3078 2022/08/08 18:11:05 - mmengine - INFO - Epoch(train) [5][400/1879] lr: 2.0000e-02 eta: 16:24:31 time: 0.5723 data_time: 0.0248 memory: 13723 grad_norm: 4.5895 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.4099 loss: 2.4099 2022/08/08 18:11:16 - mmengine - INFO - Epoch(train) [5][420/1879] lr: 2.0000e-02 eta: 16:23:52 time: 0.5708 data_time: 0.0253 memory: 13723 grad_norm: 4.5045 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 2.4035 loss: 2.4035 2022/08/08 18:11:28 - mmengine - INFO - Epoch(train) [5][440/1879] lr: 2.0000e-02 eta: 16:23:13 time: 0.5697 data_time: 0.0249 memory: 13723 grad_norm: 4.6764 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2895 loss: 2.2895 2022/08/08 18:11:39 - mmengine - INFO - Epoch(train) [5][460/1879] lr: 2.0000e-02 eta: 16:22:35 time: 0.5727 data_time: 0.0245 memory: 13723 grad_norm: 4.5895 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3262 loss: 2.3262 2022/08/08 18:11:51 - mmengine - INFO - Epoch(train) [5][480/1879] lr: 2.0000e-02 eta: 16:21:57 time: 0.5716 data_time: 0.0261 memory: 13723 grad_norm: 4.5450 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3165 loss: 2.3165 2022/08/08 18:11:53 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 18:12:02 - mmengine - INFO - Epoch(train) [5][500/1879] lr: 2.0000e-02 eta: 16:21:19 time: 0.5728 data_time: 0.0256 memory: 13723 grad_norm: 4.5855 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6332 loss: 2.6332 2022/08/08 18:12:13 - mmengine - INFO - Epoch(train) [5][520/1879] lr: 2.0000e-02 eta: 16:20:40 time: 0.5675 data_time: 0.0241 memory: 13723 grad_norm: 4.6583 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5689 loss: 2.5689 2022/08/08 18:12:25 - mmengine - INFO - Epoch(train) [5][540/1879] lr: 2.0000e-02 eta: 16:20:01 time: 0.5640 data_time: 0.0244 memory: 13723 grad_norm: 4.5480 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4984 loss: 2.4984 2022/08/08 18:12:36 - mmengine - INFO - Epoch(train) [5][560/1879] lr: 2.0000e-02 eta: 16:19:25 time: 0.5787 data_time: 0.0291 memory: 13723 grad_norm: 4.6213 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3513 loss: 2.3513 2022/08/08 18:12:47 - mmengine - INFO - Epoch(train) [5][580/1879] lr: 2.0000e-02 eta: 16:18:45 time: 0.5620 data_time: 0.0249 memory: 13723 grad_norm: 4.4111 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4392 loss: 2.4392 2022/08/08 18:12:59 - mmengine - INFO - Epoch(train) [5][600/1879] lr: 2.0000e-02 eta: 16:18:07 time: 0.5671 data_time: 0.0241 memory: 13723 grad_norm: 4.4894 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.3129 loss: 2.3129 2022/08/08 18:13:10 - mmengine - INFO - Epoch(train) [5][620/1879] lr: 2.0000e-02 eta: 16:17:28 time: 0.5671 data_time: 0.0261 memory: 13723 grad_norm: 4.4816 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5324 loss: 2.5324 2022/08/08 18:13:22 - mmengine - INFO - Epoch(train) [5][640/1879] lr: 2.0000e-02 eta: 16:16:52 time: 0.5738 data_time: 0.0257 memory: 13723 grad_norm: 4.5727 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4688 loss: 2.4688 2022/08/08 18:13:33 - mmengine - INFO - Epoch(train) [5][660/1879] lr: 2.0000e-02 eta: 16:16:14 time: 0.5711 data_time: 0.0309 memory: 13723 grad_norm: 4.6467 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1604 loss: 2.1604 2022/08/08 18:13:44 - mmengine - INFO - Epoch(train) [5][680/1879] lr: 2.0000e-02 eta: 16:15:35 time: 0.5584 data_time: 0.0252 memory: 13723 grad_norm: 4.6030 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2001 loss: 2.2001 2022/08/08 18:13:56 - mmengine - INFO - Epoch(train) [5][700/1879] lr: 2.0000e-02 eta: 16:14:57 time: 0.5692 data_time: 0.0312 memory: 13723 grad_norm: 4.5833 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.3235 loss: 2.3235 2022/08/08 18:14:07 - mmengine - INFO - Epoch(train) [5][720/1879] lr: 2.0000e-02 eta: 16:14:19 time: 0.5659 data_time: 0.0241 memory: 13723 grad_norm: 4.5664 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3287 loss: 2.3287 2022/08/08 18:14:19 - mmengine - INFO - Epoch(train) [5][740/1879] lr: 2.0000e-02 eta: 16:13:46 time: 0.5881 data_time: 0.0500 memory: 13723 grad_norm: 4.4102 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4319 loss: 2.4319 2022/08/08 18:14:30 - mmengine - INFO - Epoch(train) [5][760/1879] lr: 2.0000e-02 eta: 16:13:09 time: 0.5675 data_time: 0.0243 memory: 13723 grad_norm: 4.4500 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4258 loss: 2.4258 2022/08/08 18:14:41 - mmengine - INFO - Epoch(train) [5][780/1879] lr: 2.0000e-02 eta: 16:12:32 time: 0.5692 data_time: 0.0276 memory: 13723 grad_norm: 4.4279 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.4119 loss: 2.4119 2022/08/08 18:14:53 - mmengine - INFO - Epoch(train) [5][800/1879] lr: 2.0000e-02 eta: 16:12:01 time: 0.5979 data_time: 0.0653 memory: 13723 grad_norm: 4.3946 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3846 loss: 2.3846 2022/08/08 18:15:05 - mmengine - INFO - Epoch(train) [5][820/1879] lr: 2.0000e-02 eta: 16:11:23 time: 0.5595 data_time: 0.0251 memory: 13723 grad_norm: 4.3174 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4002 loss: 2.4002 2022/08/08 18:15:17 - mmengine - INFO - Epoch(train) [5][840/1879] lr: 2.0000e-02 eta: 16:10:58 time: 0.6257 data_time: 0.0861 memory: 13723 grad_norm: 4.5415 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3478 loss: 2.3478 2022/08/08 18:15:29 - mmengine - INFO - Epoch(train) [5][860/1879] lr: 2.0000e-02 eta: 16:10:23 time: 0.5750 data_time: 0.0258 memory: 13723 grad_norm: 4.3984 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3116 loss: 2.3116 2022/08/08 18:15:40 - mmengine - INFO - Epoch(train) [5][880/1879] lr: 2.0000e-02 eta: 16:09:49 time: 0.5812 data_time: 0.0273 memory: 13723 grad_norm: 4.4566 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2568 loss: 2.2568 2022/08/08 18:15:52 - mmengine - INFO - Epoch(train) [5][900/1879] lr: 2.0000e-02 eta: 16:09:13 time: 0.5707 data_time: 0.0238 memory: 13723 grad_norm: 4.3416 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9584 loss: 1.9584 2022/08/08 18:16:03 - mmengine - INFO - Epoch(train) [5][920/1879] lr: 2.0000e-02 eta: 16:08:37 time: 0.5697 data_time: 0.0247 memory: 13723 grad_norm: 4.3774 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3360 loss: 2.3360 2022/08/08 18:16:14 - mmengine - INFO - Epoch(train) [5][940/1879] lr: 2.0000e-02 eta: 16:08:00 time: 0.5642 data_time: 0.0263 memory: 13723 grad_norm: 4.3826 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4033 loss: 2.4033 2022/08/08 18:16:26 - mmengine - INFO - Epoch(train) [5][960/1879] lr: 2.0000e-02 eta: 16:07:24 time: 0.5676 data_time: 0.0231 memory: 13723 grad_norm: 4.4007 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.3391 loss: 2.3391 2022/08/08 18:16:37 - mmengine - INFO - Epoch(train) [5][980/1879] lr: 2.0000e-02 eta: 16:06:50 time: 0.5771 data_time: 0.0251 memory: 13723 grad_norm: 4.3980 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3807 loss: 2.3807 2022/08/08 18:16:49 - mmengine - INFO - Epoch(train) [5][1000/1879] lr: 2.0000e-02 eta: 16:06:15 time: 0.5747 data_time: 0.0244 memory: 13723 grad_norm: 4.4423 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.3005 loss: 2.3005 2022/08/08 18:17:00 - mmengine - INFO - Epoch(train) [5][1020/1879] lr: 2.0000e-02 eta: 16:05:42 time: 0.5795 data_time: 0.0247 memory: 13723 grad_norm: 4.3597 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4072 loss: 2.4072 2022/08/08 18:17:12 - mmengine - INFO - Epoch(train) [5][1040/1879] lr: 2.0000e-02 eta: 16:05:06 time: 0.5665 data_time: 0.0288 memory: 13723 grad_norm: 4.3132 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4283 loss: 2.4283 2022/08/08 18:17:24 - mmengine - INFO - Epoch(train) [5][1060/1879] lr: 2.0000e-02 eta: 16:04:46 time: 0.6425 data_time: 0.0268 memory: 13723 grad_norm: 4.3171 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1842 loss: 2.1842 2022/08/08 18:17:36 - mmengine - INFO - Epoch(train) [5][1080/1879] lr: 2.0000e-02 eta: 16:04:09 time: 0.5641 data_time: 0.0264 memory: 13723 grad_norm: 4.2717 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2984 loss: 2.2984 2022/08/08 18:17:47 - mmengine - INFO - Epoch(train) [5][1100/1879] lr: 2.0000e-02 eta: 16:03:37 time: 0.5834 data_time: 0.0494 memory: 13723 grad_norm: 4.3851 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2151 loss: 2.2151 2022/08/08 18:17:59 - mmengine - INFO - Epoch(train) [5][1120/1879] lr: 2.0000e-02 eta: 16:03:01 time: 0.5646 data_time: 0.0251 memory: 13723 grad_norm: 4.2461 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4308 loss: 2.4308 2022/08/08 18:18:10 - mmengine - INFO - Epoch(train) [5][1140/1879] lr: 2.0000e-02 eta: 16:02:26 time: 0.5670 data_time: 0.0268 memory: 13723 grad_norm: 4.3537 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2077 loss: 2.2077 2022/08/08 18:18:21 - mmengine - INFO - Epoch(train) [5][1160/1879] lr: 2.0000e-02 eta: 16:01:50 time: 0.5657 data_time: 0.0277 memory: 13723 grad_norm: 4.4588 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1950 loss: 2.1950 2022/08/08 18:18:33 - mmengine - INFO - Epoch(train) [5][1180/1879] lr: 2.0000e-02 eta: 16:01:15 time: 0.5670 data_time: 0.0244 memory: 13723 grad_norm: 4.3179 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2732 loss: 2.2732 2022/08/08 18:18:44 - mmengine - INFO - Epoch(train) [5][1200/1879] lr: 2.0000e-02 eta: 16:00:43 time: 0.5806 data_time: 0.0449 memory: 13723 grad_norm: 4.2639 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3268 loss: 2.3268 2022/08/08 18:18:56 - mmengine - INFO - Epoch(train) [5][1220/1879] lr: 2.0000e-02 eta: 16:00:08 time: 0.5654 data_time: 0.0239 memory: 13723 grad_norm: 4.2638 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0678 loss: 2.0678 2022/08/08 18:19:07 - mmengine - INFO - Epoch(train) [5][1240/1879] lr: 2.0000e-02 eta: 15:59:32 time: 0.5598 data_time: 0.0252 memory: 13723 grad_norm: 4.4035 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2337 loss: 2.2337 2022/08/08 18:19:18 - mmengine - INFO - Epoch(train) [5][1260/1879] lr: 2.0000e-02 eta: 15:58:57 time: 0.5667 data_time: 0.0250 memory: 13723 grad_norm: 4.2073 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2345 loss: 2.2345 2022/08/08 18:19:30 - mmengine - INFO - Epoch(train) [5][1280/1879] lr: 2.0000e-02 eta: 15:58:25 time: 0.5806 data_time: 0.0262 memory: 13723 grad_norm: 4.3291 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2571 loss: 2.2571 2022/08/08 18:19:41 - mmengine - INFO - Epoch(train) [5][1300/1879] lr: 2.0000e-02 eta: 15:57:51 time: 0.5667 data_time: 0.0237 memory: 13723 grad_norm: 4.3253 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3413 loss: 2.3413 2022/08/08 18:19:53 - mmengine - INFO - Epoch(train) [5][1320/1879] lr: 2.0000e-02 eta: 15:57:19 time: 0.5788 data_time: 0.0277 memory: 13723 grad_norm: 4.2786 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4069 loss: 2.4069 2022/08/08 18:20:04 - mmengine - INFO - Epoch(train) [5][1340/1879] lr: 2.0000e-02 eta: 15:56:44 time: 0.5622 data_time: 0.0252 memory: 13723 grad_norm: 4.2492 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1173 loss: 2.1173 2022/08/08 18:20:18 - mmengine - INFO - Epoch(train) [5][1360/1879] lr: 2.0000e-02 eta: 15:56:33 time: 0.6910 data_time: 0.0262 memory: 13723 grad_norm: 4.3739 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3096 loss: 2.3096 2022/08/08 18:20:30 - mmengine - INFO - Epoch(train) [5][1380/1879] lr: 2.0000e-02 eta: 15:56:06 time: 0.6041 data_time: 0.0281 memory: 13723 grad_norm: 4.2911 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2497 loss: 2.2497 2022/08/08 18:20:43 - mmengine - INFO - Epoch(train) [5][1400/1879] lr: 2.0000e-02 eta: 15:55:47 time: 0.6423 data_time: 0.0310 memory: 13723 grad_norm: 4.3192 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.3264 loss: 2.3264 2022/08/08 18:20:54 - mmengine - INFO - Epoch(train) [5][1420/1879] lr: 2.0000e-02 eta: 15:55:15 time: 0.5793 data_time: 0.0249 memory: 13723 grad_norm: 4.2726 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2338 loss: 2.2338 2022/08/08 18:21:06 - mmengine - INFO - Epoch(train) [5][1440/1879] lr: 2.0000e-02 eta: 15:54:43 time: 0.5750 data_time: 0.0287 memory: 13723 grad_norm: 4.2071 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0817 loss: 2.0817 2022/08/08 18:21:17 - mmengine - INFO - Epoch(train) [5][1460/1879] lr: 2.0000e-02 eta: 15:54:09 time: 0.5674 data_time: 0.0248 memory: 13723 grad_norm: 4.1111 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2389 loss: 2.2389 2022/08/08 18:21:28 - mmengine - INFO - Epoch(train) [5][1480/1879] lr: 2.0000e-02 eta: 15:53:35 time: 0.5628 data_time: 0.0247 memory: 13723 grad_norm: 4.1989 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2225 loss: 2.2225 2022/08/08 18:21:31 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 18:21:40 - mmengine - INFO - Epoch(train) [5][1500/1879] lr: 2.0000e-02 eta: 15:53:02 time: 0.5712 data_time: 0.0264 memory: 13723 grad_norm: 4.2920 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1485 loss: 2.1485 2022/08/08 18:21:51 - mmengine - INFO - Epoch(train) [5][1520/1879] lr: 2.0000e-02 eta: 15:52:28 time: 0.5635 data_time: 0.0251 memory: 13723 grad_norm: 4.2622 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.1389 loss: 2.1389 2022/08/08 18:22:02 - mmengine - INFO - Epoch(train) [5][1540/1879] lr: 2.0000e-02 eta: 15:51:55 time: 0.5685 data_time: 0.0270 memory: 13723 grad_norm: 4.3705 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1543 loss: 2.1543 2022/08/08 18:22:14 - mmengine - INFO - Epoch(train) [5][1560/1879] lr: 2.0000e-02 eta: 15:51:21 time: 0.5665 data_time: 0.0260 memory: 13723 grad_norm: 4.2744 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2623 loss: 2.2623 2022/08/08 18:22:25 - mmengine - INFO - Epoch(train) [5][1580/1879] lr: 2.0000e-02 eta: 15:50:48 time: 0.5652 data_time: 0.0253 memory: 13723 grad_norm: 4.1699 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2123 loss: 2.2123 2022/08/08 18:22:36 - mmengine - INFO - Epoch(train) [5][1600/1879] lr: 2.0000e-02 eta: 15:50:15 time: 0.5665 data_time: 0.0276 memory: 13723 grad_norm: 4.1166 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0964 loss: 2.0964 2022/08/08 18:22:48 - mmengine - INFO - Epoch(train) [5][1620/1879] lr: 2.0000e-02 eta: 15:49:42 time: 0.5668 data_time: 0.0254 memory: 13723 grad_norm: 4.1961 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0805 loss: 2.0805 2022/08/08 18:22:59 - mmengine - INFO - Epoch(train) [5][1640/1879] lr: 2.0000e-02 eta: 15:49:08 time: 0.5633 data_time: 0.0254 memory: 13723 grad_norm: 4.4048 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2386 loss: 2.2386 2022/08/08 18:23:10 - mmengine - INFO - Epoch(train) [5][1660/1879] lr: 2.0000e-02 eta: 15:48:36 time: 0.5687 data_time: 0.0289 memory: 13723 grad_norm: 4.1036 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.2158 loss: 2.2158 2022/08/08 18:23:22 - mmengine - INFO - Epoch(train) [5][1680/1879] lr: 2.0000e-02 eta: 15:48:04 time: 0.5702 data_time: 0.0257 memory: 13723 grad_norm: 4.3256 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3508 loss: 2.3508 2022/08/08 18:23:33 - mmengine - INFO - Epoch(train) [5][1700/1879] lr: 2.0000e-02 eta: 15:47:31 time: 0.5666 data_time: 0.0245 memory: 13723 grad_norm: 4.1226 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3223 loss: 2.3223 2022/08/08 18:23:44 - mmengine - INFO - Epoch(train) [5][1720/1879] lr: 2.0000e-02 eta: 15:46:57 time: 0.5600 data_time: 0.0249 memory: 13723 grad_norm: 4.3072 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0001 loss: 2.0001 2022/08/08 18:23:56 - mmengine - INFO - Epoch(train) [5][1740/1879] lr: 2.0000e-02 eta: 15:46:25 time: 0.5684 data_time: 0.0267 memory: 13723 grad_norm: 4.2183 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2434 loss: 2.2434 2022/08/08 18:24:07 - mmengine - INFO - Epoch(train) [5][1760/1879] lr: 2.0000e-02 eta: 15:45:52 time: 0.5631 data_time: 0.0258 memory: 13723 grad_norm: 4.2661 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1421 loss: 2.1421 2022/08/08 18:24:19 - mmengine - INFO - Epoch(train) [5][1780/1879] lr: 2.0000e-02 eta: 15:45:24 time: 0.5914 data_time: 0.0532 memory: 13723 grad_norm: 4.3474 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2544 loss: 2.2544 2022/08/08 18:24:30 - mmengine - INFO - Epoch(train) [5][1800/1879] lr: 2.0000e-02 eta: 15:44:51 time: 0.5613 data_time: 0.0243 memory: 13723 grad_norm: 4.1696 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1520 loss: 2.1520 2022/08/08 18:24:41 - mmengine - INFO - Epoch(train) [5][1820/1879] lr: 2.0000e-02 eta: 15:44:20 time: 0.5689 data_time: 0.0275 memory: 13723 grad_norm: 4.3082 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2050 loss: 2.2050 2022/08/08 18:24:53 - mmengine - INFO - Epoch(train) [5][1840/1879] lr: 2.0000e-02 eta: 15:43:47 time: 0.5662 data_time: 0.0256 memory: 13723 grad_norm: 4.2720 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2201 loss: 2.2201 2022/08/08 18:25:04 - mmengine - INFO - Epoch(train) [5][1860/1879] lr: 2.0000e-02 eta: 15:43:15 time: 0.5636 data_time: 0.0253 memory: 13723 grad_norm: 4.2475 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2525 loss: 2.2525 2022/08/08 18:25:15 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 18:25:15 - mmengine - INFO - Epoch(train) [5][1879/1879] lr: 2.0000e-02 eta: 15:43:15 time: 0.5860 data_time: 0.0184 memory: 13723 grad_norm: 4.3275 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.2872 loss: 2.2872 2022/08/08 18:25:29 - mmengine - INFO - Epoch(val) [5][20/155] eta: 0:01:30 time: 0.6723 data_time: 0.5327 memory: 1829 2022/08/08 18:25:37 - mmengine - INFO - Epoch(val) [5][40/155] eta: 0:00:48 time: 0.4231 data_time: 0.2838 memory: 1829 2022/08/08 18:25:50 - mmengine - INFO - Epoch(val) [5][60/155] eta: 0:01:01 time: 0.6456 data_time: 0.5059 memory: 1829 2022/08/08 18:25:59 - mmengine - INFO - Epoch(val) [5][80/155] eta: 0:00:34 time: 0.4615 data_time: 0.3226 memory: 1829 2022/08/08 18:26:12 - mmengine - INFO - Epoch(val) [5][100/155] eta: 0:00:35 time: 0.6383 data_time: 0.4941 memory: 1829 2022/08/08 18:26:21 - mmengine - INFO - Epoch(val) [5][120/155] eta: 0:00:15 time: 0.4392 data_time: 0.2998 memory: 1829 2022/08/08 18:26:33 - mmengine - INFO - Epoch(val) [5][140/155] eta: 0:00:09 time: 0.6100 data_time: 0.4703 memory: 1829 2022/08/08 18:26:42 - mmengine - INFO - Epoch(val) [5][155/155] acc/top1: 0.4930 acc/top5: 0.7590 acc/mean1: 0.4929 2022/08/08 18:26:58 - mmengine - INFO - Epoch(train) [6][20/1879] lr: 2.0000e-02 eta: 15:41:21 time: 0.8161 data_time: 0.2191 memory: 13723 grad_norm: 4.1917 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2521 loss: 2.2521 2022/08/08 18:27:10 - mmengine - INFO - Epoch(train) [6][40/1879] lr: 2.0000e-02 eta: 15:40:53 time: 0.5852 data_time: 0.0261 memory: 13723 grad_norm: 4.3246 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.1210 loss: 2.1210 2022/08/08 18:27:22 - mmengine - INFO - Epoch(train) [6][60/1879] lr: 2.0000e-02 eta: 15:40:25 time: 0.5877 data_time: 0.0277 memory: 13723 grad_norm: 4.1651 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.0529 loss: 2.0529 2022/08/08 18:27:33 - mmengine - INFO - Epoch(train) [6][80/1879] lr: 2.0000e-02 eta: 15:39:55 time: 0.5726 data_time: 0.0256 memory: 13723 grad_norm: 4.2164 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2397 loss: 2.2397 2022/08/08 18:27:47 - mmengine - INFO - Epoch(train) [6][100/1879] lr: 2.0000e-02 eta: 15:39:48 time: 0.7045 data_time: 0.1466 memory: 13723 grad_norm: 4.2368 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9978 loss: 1.9978 2022/08/08 18:27:58 - mmengine - INFO - Epoch(train) [6][120/1879] lr: 2.0000e-02 eta: 15:39:15 time: 0.5591 data_time: 0.0251 memory: 13723 grad_norm: 4.1911 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1668 loss: 2.1668 2022/08/08 18:28:10 - mmengine - INFO - Epoch(train) [6][140/1879] lr: 2.0000e-02 eta: 15:38:44 time: 0.5647 data_time: 0.0265 memory: 13723 grad_norm: 4.2544 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0257 loss: 2.0257 2022/08/08 18:28:21 - mmengine - INFO - Epoch(train) [6][160/1879] lr: 2.0000e-02 eta: 15:38:13 time: 0.5666 data_time: 0.0257 memory: 13723 grad_norm: 4.3149 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1647 loss: 2.1647 2022/08/08 18:28:32 - mmengine - INFO - Epoch(train) [6][180/1879] lr: 2.0000e-02 eta: 15:37:42 time: 0.5695 data_time: 0.0276 memory: 13723 grad_norm: 4.2810 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 1.9517 loss: 1.9517 2022/08/08 18:28:44 - mmengine - INFO - Epoch(train) [6][200/1879] lr: 2.0000e-02 eta: 15:37:14 time: 0.5801 data_time: 0.0248 memory: 13723 grad_norm: 4.1939 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1497 loss: 2.1497 2022/08/08 18:28:55 - mmengine - INFO - Epoch(train) [6][220/1879] lr: 2.0000e-02 eta: 15:36:44 time: 0.5763 data_time: 0.0256 memory: 13723 grad_norm: 4.2475 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1773 loss: 2.1773 2022/08/08 18:29:07 - mmengine - INFO - Epoch(train) [6][240/1879] lr: 2.0000e-02 eta: 15:36:19 time: 0.5945 data_time: 0.0260 memory: 13723 grad_norm: 4.1979 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0860 loss: 2.0860 2022/08/08 18:29:19 - mmengine - INFO - Epoch(train) [6][260/1879] lr: 2.0000e-02 eta: 15:35:49 time: 0.5747 data_time: 0.0242 memory: 13723 grad_norm: 4.2095 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.2597 loss: 2.2597 2022/08/08 18:29:30 - mmengine - INFO - Epoch(train) [6][280/1879] lr: 2.0000e-02 eta: 15:35:18 time: 0.5644 data_time: 0.0261 memory: 13723 grad_norm: 4.1346 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1911 loss: 2.1911 2022/08/08 18:29:42 - mmengine - INFO - Epoch(train) [6][300/1879] lr: 2.0000e-02 eta: 15:34:50 time: 0.5807 data_time: 0.0257 memory: 13723 grad_norm: 4.1991 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1335 loss: 2.1335 2022/08/08 18:29:53 - mmengine - INFO - Epoch(train) [6][320/1879] lr: 2.0000e-02 eta: 15:34:21 time: 0.5752 data_time: 0.0251 memory: 13723 grad_norm: 4.1683 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1776 loss: 2.1776 2022/08/08 18:30:04 - mmengine - INFO - Epoch(train) [6][340/1879] lr: 2.0000e-02 eta: 15:33:50 time: 0.5613 data_time: 0.0277 memory: 13723 grad_norm: 4.2766 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2503 loss: 2.2503 2022/08/08 18:30:18 - mmengine - INFO - Epoch(train) [6][360/1879] lr: 2.0000e-02 eta: 15:33:35 time: 0.6587 data_time: 0.0279 memory: 13723 grad_norm: 4.2227 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9914 loss: 1.9914 2022/08/08 18:30:29 - mmengine - INFO - Epoch(train) [6][380/1879] lr: 2.0000e-02 eta: 15:33:09 time: 0.5885 data_time: 0.0243 memory: 13723 grad_norm: 4.2521 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0449 loss: 2.0449 2022/08/08 18:30:42 - mmengine - INFO - Epoch(train) [6][400/1879] lr: 2.0000e-02 eta: 15:32:46 time: 0.6089 data_time: 0.0267 memory: 13723 grad_norm: 4.2745 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9122 loss: 1.9122 2022/08/08 18:30:54 - mmengine - INFO - Epoch(train) [6][420/1879] lr: 2.0000e-02 eta: 15:32:22 time: 0.6069 data_time: 0.0285 memory: 13723 grad_norm: 4.2377 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1852 loss: 2.1852 2022/08/08 18:31:06 - mmengine - INFO - Epoch(train) [6][440/1879] lr: 2.0000e-02 eta: 15:31:57 time: 0.5958 data_time: 0.0300 memory: 13723 grad_norm: 4.1973 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2625 loss: 2.2625 2022/08/08 18:31:18 - mmengine - INFO - Epoch(train) [6][460/1879] lr: 2.0000e-02 eta: 15:31:32 time: 0.5959 data_time: 0.0237 memory: 13723 grad_norm: 4.1246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1899 loss: 2.1899 2022/08/08 18:31:29 - mmengine - INFO - Epoch(train) [6][480/1879] lr: 2.0000e-02 eta: 15:31:05 time: 0.5821 data_time: 0.0258 memory: 13723 grad_norm: 4.2285 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1153 loss: 2.1153 2022/08/08 18:31:41 - mmengine - INFO - Epoch(train) [6][500/1879] lr: 2.0000e-02 eta: 15:30:36 time: 0.5694 data_time: 0.0244 memory: 13723 grad_norm: 4.0727 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0472 loss: 2.0472 2022/08/08 18:31:52 - mmengine - INFO - Epoch(train) [6][520/1879] lr: 2.0000e-02 eta: 15:30:05 time: 0.5631 data_time: 0.0262 memory: 13723 grad_norm: 4.0781 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0702 loss: 2.0702 2022/08/08 18:32:03 - mmengine - INFO - Epoch(train) [6][540/1879] lr: 2.0000e-02 eta: 15:29:36 time: 0.5679 data_time: 0.0265 memory: 13723 grad_norm: 4.1301 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0153 loss: 2.0153 2022/08/08 18:32:15 - mmengine - INFO - Epoch(train) [6][560/1879] lr: 2.0000e-02 eta: 15:29:06 time: 0.5703 data_time: 0.0262 memory: 13723 grad_norm: 4.2447 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3366 loss: 2.3366 2022/08/08 18:32:26 - mmengine - INFO - Epoch(train) [6][580/1879] lr: 2.0000e-02 eta: 15:28:38 time: 0.5727 data_time: 0.0257 memory: 13723 grad_norm: 4.1366 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9182 loss: 1.9182 2022/08/08 18:32:37 - mmengine - INFO - Epoch(train) [6][600/1879] lr: 2.0000e-02 eta: 15:28:08 time: 0.5647 data_time: 0.0247 memory: 13723 grad_norm: 4.0835 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1149 loss: 2.1149 2022/08/08 18:32:40 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 18:32:49 - mmengine - INFO - Epoch(train) [6][620/1879] lr: 2.0000e-02 eta: 15:27:38 time: 0.5653 data_time: 0.0250 memory: 13723 grad_norm: 4.1527 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0402 loss: 2.0402 2022/08/08 18:33:00 - mmengine - INFO - Epoch(train) [6][640/1879] lr: 2.0000e-02 eta: 15:27:09 time: 0.5695 data_time: 0.0247 memory: 13723 grad_norm: 4.1105 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2870 loss: 2.2870 2022/08/08 18:33:12 - mmengine - INFO - Epoch(train) [6][660/1879] lr: 2.0000e-02 eta: 15:26:43 time: 0.5822 data_time: 0.0253 memory: 13723 grad_norm: 4.1148 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1443 loss: 2.1443 2022/08/08 18:33:23 - mmengine - INFO - Epoch(train) [6][680/1879] lr: 2.0000e-02 eta: 15:26:12 time: 0.5574 data_time: 0.0229 memory: 13723 grad_norm: 4.1414 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.2496 loss: 2.2496 2022/08/08 18:33:34 - mmengine - INFO - Epoch(train) [6][700/1879] lr: 2.0000e-02 eta: 15:25:42 time: 0.5650 data_time: 0.0256 memory: 13723 grad_norm: 4.1458 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0636 loss: 2.0636 2022/08/08 18:33:46 - mmengine - INFO - Epoch(train) [6][720/1879] lr: 2.0000e-02 eta: 15:25:15 time: 0.5759 data_time: 0.0258 memory: 13723 grad_norm: 4.1784 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1172 loss: 2.1172 2022/08/08 18:33:57 - mmengine - INFO - Epoch(train) [6][740/1879] lr: 2.0000e-02 eta: 15:24:45 time: 0.5633 data_time: 0.0256 memory: 13723 grad_norm: 4.1141 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.2199 loss: 2.2199 2022/08/08 18:34:08 - mmengine - INFO - Epoch(train) [6][760/1879] lr: 2.0000e-02 eta: 15:24:16 time: 0.5645 data_time: 0.0260 memory: 13723 grad_norm: 4.0264 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1225 loss: 2.1225 2022/08/08 18:34:20 - mmengine - INFO - Epoch(train) [6][780/1879] lr: 2.0000e-02 eta: 15:23:48 time: 0.5728 data_time: 0.0258 memory: 13723 grad_norm: 4.0055 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9747 loss: 1.9747 2022/08/08 18:34:31 - mmengine - INFO - Epoch(train) [6][800/1879] lr: 2.0000e-02 eta: 15:23:19 time: 0.5638 data_time: 0.0236 memory: 13723 grad_norm: 4.1339 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1455 loss: 2.1455 2022/08/08 18:34:42 - mmengine - INFO - Epoch(train) [6][820/1879] lr: 2.0000e-02 eta: 15:22:49 time: 0.5634 data_time: 0.0250 memory: 13723 grad_norm: 4.0852 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0867 loss: 2.0867 2022/08/08 18:34:54 - mmengine - INFO - Epoch(train) [6][840/1879] lr: 2.0000e-02 eta: 15:22:21 time: 0.5686 data_time: 0.0247 memory: 13723 grad_norm: 4.1184 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0826 loss: 2.0826 2022/08/08 18:35:05 - mmengine - INFO - Epoch(train) [6][860/1879] lr: 2.0000e-02 eta: 15:21:52 time: 0.5621 data_time: 0.0277 memory: 13723 grad_norm: 4.1045 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1468 loss: 2.1468 2022/08/08 18:35:19 - mmengine - INFO - Epoch(train) [6][880/1879] lr: 2.0000e-02 eta: 15:21:46 time: 0.7067 data_time: 0.0240 memory: 13723 grad_norm: 4.1873 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1274 loss: 2.1274 2022/08/08 18:35:31 - mmengine - INFO - Epoch(train) [6][900/1879] lr: 2.0000e-02 eta: 15:21:24 time: 0.6108 data_time: 0.0563 memory: 13723 grad_norm: 4.1255 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1562 loss: 2.1562 2022/08/08 18:35:43 - mmengine - INFO - Epoch(train) [6][920/1879] lr: 2.0000e-02 eta: 15:20:58 time: 0.5801 data_time: 0.0262 memory: 13723 grad_norm: 4.1378 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1801 loss: 2.1801 2022/08/08 18:35:55 - mmengine - INFO - Epoch(train) [6][940/1879] lr: 2.0000e-02 eta: 15:20:33 time: 0.5886 data_time: 0.0284 memory: 13723 grad_norm: 4.2345 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0605 loss: 2.0605 2022/08/08 18:36:06 - mmengine - INFO - Epoch(train) [6][960/1879] lr: 2.0000e-02 eta: 15:20:08 time: 0.5866 data_time: 0.0276 memory: 13723 grad_norm: 4.2233 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1590 loss: 2.1590 2022/08/08 18:36:18 - mmengine - INFO - Epoch(train) [6][980/1879] lr: 2.0000e-02 eta: 15:19:41 time: 0.5764 data_time: 0.0269 memory: 13723 grad_norm: 4.0525 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0370 loss: 2.0370 2022/08/08 18:36:29 - mmengine - INFO - Epoch(train) [6][1000/1879] lr: 2.0000e-02 eta: 15:19:13 time: 0.5655 data_time: 0.0240 memory: 13723 grad_norm: 4.1217 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1346 loss: 2.1346 2022/08/08 18:36:41 - mmengine - INFO - Epoch(train) [6][1020/1879] lr: 2.0000e-02 eta: 15:18:51 time: 0.6047 data_time: 0.0670 memory: 13723 grad_norm: 4.1397 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0980 loss: 2.0980 2022/08/08 18:36:52 - mmengine - INFO - Epoch(train) [6][1040/1879] lr: 2.0000e-02 eta: 15:18:21 time: 0.5587 data_time: 0.0235 memory: 13723 grad_norm: 4.1112 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1549 loss: 2.1549 2022/08/08 18:37:04 - mmengine - INFO - Epoch(train) [6][1060/1879] lr: 2.0000e-02 eta: 15:17:53 time: 0.5648 data_time: 0.0254 memory: 13723 grad_norm: 4.0136 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1139 loss: 2.1139 2022/08/08 18:37:15 - mmengine - INFO - Epoch(train) [6][1080/1879] lr: 2.0000e-02 eta: 15:17:26 time: 0.5709 data_time: 0.0386 memory: 13723 grad_norm: 4.1599 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.1957 loss: 2.1957 2022/08/08 18:37:26 - mmengine - INFO - Epoch(train) [6][1100/1879] lr: 2.0000e-02 eta: 15:16:57 time: 0.5591 data_time: 0.0243 memory: 13723 grad_norm: 4.0009 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2964 loss: 2.2964 2022/08/08 18:37:38 - mmengine - INFO - Epoch(train) [6][1120/1879] lr: 2.0000e-02 eta: 15:16:30 time: 0.5745 data_time: 0.0267 memory: 13723 grad_norm: 4.0180 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1878 loss: 2.1878 2022/08/08 18:37:49 - mmengine - INFO - Epoch(train) [6][1140/1879] lr: 2.0000e-02 eta: 15:16:01 time: 0.5606 data_time: 0.0262 memory: 13723 grad_norm: 4.1850 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0506 loss: 2.0506 2022/08/08 18:38:00 - mmengine - INFO - Epoch(train) [6][1160/1879] lr: 2.0000e-02 eta: 15:15:33 time: 0.5620 data_time: 0.0263 memory: 13723 grad_norm: 4.2069 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9794 loss: 1.9794 2022/08/08 18:38:12 - mmengine - INFO - Epoch(train) [6][1180/1879] lr: 2.0000e-02 eta: 15:15:05 time: 0.5644 data_time: 0.0237 memory: 13723 grad_norm: 4.1227 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.1680 loss: 2.1680 2022/08/08 18:38:23 - mmengine - INFO - Epoch(train) [6][1200/1879] lr: 2.0000e-02 eta: 15:14:37 time: 0.5666 data_time: 0.0273 memory: 13723 grad_norm: 4.1538 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 2.3320 loss: 2.3320 2022/08/08 18:38:34 - mmengine - INFO - Epoch(train) [6][1220/1879] lr: 2.0000e-02 eta: 15:14:09 time: 0.5668 data_time: 0.0246 memory: 13723 grad_norm: 4.0892 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0567 loss: 2.0567 2022/08/08 18:38:46 - mmengine - INFO - Epoch(train) [6][1240/1879] lr: 2.0000e-02 eta: 15:13:42 time: 0.5686 data_time: 0.0276 memory: 13723 grad_norm: 4.2040 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.1483 loss: 2.1483 2022/08/08 18:38:57 - mmengine - INFO - Epoch(train) [6][1260/1879] lr: 2.0000e-02 eta: 15:13:14 time: 0.5617 data_time: 0.0238 memory: 13723 grad_norm: 4.0074 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1148 loss: 2.1148 2022/08/08 18:39:08 - mmengine - INFO - Epoch(train) [6][1280/1879] lr: 2.0000e-02 eta: 15:12:46 time: 0.5640 data_time: 0.0284 memory: 13723 grad_norm: 4.1656 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0973 loss: 2.0973 2022/08/08 18:39:20 - mmengine - INFO - Epoch(train) [6][1300/1879] lr: 2.0000e-02 eta: 15:12:20 time: 0.5710 data_time: 0.0261 memory: 13723 grad_norm: 4.0796 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8796 loss: 1.8796 2022/08/08 18:39:31 - mmengine - INFO - Epoch(train) [6][1320/1879] lr: 2.0000e-02 eta: 15:11:52 time: 0.5670 data_time: 0.0258 memory: 13723 grad_norm: 4.0876 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2254 loss: 2.2254 2022/08/08 18:39:42 - mmengine - INFO - Epoch(train) [6][1340/1879] lr: 2.0000e-02 eta: 15:11:25 time: 0.5638 data_time: 0.0274 memory: 13723 grad_norm: 4.0196 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0963 loss: 2.0963 2022/08/08 18:39:54 - mmengine - INFO - Epoch(train) [6][1360/1879] lr: 2.0000e-02 eta: 15:10:58 time: 0.5706 data_time: 0.0303 memory: 13723 grad_norm: 4.0470 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3196 loss: 2.3196 2022/08/08 18:40:05 - mmengine - INFO - Epoch(train) [6][1380/1879] lr: 2.0000e-02 eta: 15:10:31 time: 0.5690 data_time: 0.0261 memory: 13723 grad_norm: 4.0571 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1863 loss: 2.1863 2022/08/08 18:40:19 - mmengine - INFO - Epoch(train) [6][1400/1879] lr: 2.0000e-02 eta: 15:10:21 time: 0.6769 data_time: 0.0969 memory: 13723 grad_norm: 4.0322 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1889 loss: 2.1889 2022/08/08 18:40:30 - mmengine - INFO - Epoch(train) [6][1420/1879] lr: 2.0000e-02 eta: 15:09:56 time: 0.5796 data_time: 0.0208 memory: 13723 grad_norm: 4.0458 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1428 loss: 2.1428 2022/08/08 18:40:42 - mmengine - INFO - Epoch(train) [6][1440/1879] lr: 2.0000e-02 eta: 15:09:31 time: 0.5779 data_time: 0.0360 memory: 13723 grad_norm: 4.1436 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1633 loss: 2.1633 2022/08/08 18:40:53 - mmengine - INFO - Epoch(train) [6][1460/1879] lr: 2.0000e-02 eta: 15:09:05 time: 0.5692 data_time: 0.0253 memory: 13723 grad_norm: 4.1045 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0754 loss: 2.0754 2022/08/08 18:41:04 - mmengine - INFO - Epoch(train) [6][1480/1879] lr: 2.0000e-02 eta: 15:08:38 time: 0.5646 data_time: 0.0292 memory: 13723 grad_norm: 4.0523 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9963 loss: 1.9963 2022/08/08 18:41:16 - mmengine - INFO - Epoch(train) [6][1500/1879] lr: 2.0000e-02 eta: 15:08:11 time: 0.5655 data_time: 0.0251 memory: 13723 grad_norm: 4.1080 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.9557 loss: 1.9557 2022/08/08 18:41:27 - mmengine - INFO - Epoch(train) [6][1520/1879] lr: 2.0000e-02 eta: 15:07:44 time: 0.5697 data_time: 0.0261 memory: 13723 grad_norm: 4.0765 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.3254 loss: 2.3254 2022/08/08 18:41:39 - mmengine - INFO - Epoch(train) [6][1540/1879] lr: 2.0000e-02 eta: 15:07:21 time: 0.5869 data_time: 0.0239 memory: 13723 grad_norm: 4.1587 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1197 loss: 2.1197 2022/08/08 18:41:50 - mmengine - INFO - Epoch(train) [6][1560/1879] lr: 2.0000e-02 eta: 15:06:53 time: 0.5592 data_time: 0.0258 memory: 13723 grad_norm: 3.8982 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1048 loss: 2.1048 2022/08/08 18:42:01 - mmengine - INFO - Epoch(train) [6][1580/1879] lr: 2.0000e-02 eta: 15:06:26 time: 0.5670 data_time: 0.0242 memory: 13723 grad_norm: 4.0926 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1430 loss: 2.1430 2022/08/08 18:42:13 - mmengine - INFO - Epoch(train) [6][1600/1879] lr: 2.0000e-02 eta: 15:06:01 time: 0.5745 data_time: 0.0279 memory: 13723 grad_norm: 4.1066 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0182 loss: 2.0182 2022/08/08 18:42:16 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 18:42:24 - mmengine - INFO - Epoch(train) [6][1620/1879] lr: 2.0000e-02 eta: 15:05:35 time: 0.5661 data_time: 0.0265 memory: 13723 grad_norm: 3.9900 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1831 loss: 2.1831 2022/08/08 18:42:36 - mmengine - INFO - Epoch(train) [6][1640/1879] lr: 2.0000e-02 eta: 15:05:08 time: 0.5673 data_time: 0.0248 memory: 13723 grad_norm: 4.1107 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1243 loss: 2.1243 2022/08/08 18:42:47 - mmengine - INFO - Epoch(train) [6][1660/1879] lr: 2.0000e-02 eta: 15:04:41 time: 0.5628 data_time: 0.0249 memory: 13723 grad_norm: 3.9470 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2663 loss: 2.2663 2022/08/08 18:42:58 - mmengine - INFO - Epoch(train) [6][1680/1879] lr: 2.0000e-02 eta: 15:04:15 time: 0.5647 data_time: 0.0268 memory: 13723 grad_norm: 4.1733 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2435 loss: 2.2435 2022/08/08 18:43:09 - mmengine - INFO - Epoch(train) [6][1700/1879] lr: 2.0000e-02 eta: 15:03:49 time: 0.5704 data_time: 0.0243 memory: 13723 grad_norm: 4.0904 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9445 loss: 1.9445 2022/08/08 18:43:21 - mmengine - INFO - Epoch(train) [6][1720/1879] lr: 2.0000e-02 eta: 15:03:23 time: 0.5664 data_time: 0.0281 memory: 13723 grad_norm: 4.0339 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8981 loss: 1.8981 2022/08/08 18:43:32 - mmengine - INFO - Epoch(train) [6][1740/1879] lr: 2.0000e-02 eta: 15:02:57 time: 0.5694 data_time: 0.0263 memory: 13723 grad_norm: 4.1357 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1642 loss: 2.1642 2022/08/08 18:43:44 - mmengine - INFO - Epoch(train) [6][1760/1879] lr: 2.0000e-02 eta: 15:02:31 time: 0.5661 data_time: 0.0248 memory: 13723 grad_norm: 4.0542 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0308 loss: 2.0308 2022/08/08 18:43:55 - mmengine - INFO - Epoch(train) [6][1780/1879] lr: 2.0000e-02 eta: 15:02:06 time: 0.5719 data_time: 0.0292 memory: 13723 grad_norm: 4.0559 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1197 loss: 2.1197 2022/08/08 18:44:06 - mmengine - INFO - Epoch(train) [6][1800/1879] lr: 2.0000e-02 eta: 15:01:39 time: 0.5640 data_time: 0.0242 memory: 13723 grad_norm: 4.0530 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0029 loss: 2.0029 2022/08/08 18:44:18 - mmengine - INFO - Epoch(train) [6][1820/1879] lr: 2.0000e-02 eta: 15:01:13 time: 0.5649 data_time: 0.0265 memory: 13723 grad_norm: 4.0109 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1653 loss: 2.1653 2022/08/08 18:44:29 - mmengine - INFO - Epoch(train) [6][1840/1879] lr: 2.0000e-02 eta: 15:00:47 time: 0.5676 data_time: 0.0244 memory: 13723 grad_norm: 3.9978 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1267 loss: 2.1267 2022/08/08 18:44:40 - mmengine - INFO - Epoch(train) [6][1860/1879] lr: 2.0000e-02 eta: 15:00:21 time: 0.5638 data_time: 0.0251 memory: 13723 grad_norm: 3.9675 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0333 loss: 2.0333 2022/08/08 18:44:50 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 18:44:50 - mmengine - INFO - Epoch(train) [6][1879/1879] lr: 2.0000e-02 eta: 15:00:21 time: 0.5285 data_time: 0.0193 memory: 13723 grad_norm: 4.1108 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.3284 loss: 2.3284 2022/08/08 18:44:50 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/08/08 18:45:11 - mmengine - INFO - Epoch(val) [6][20/155] eta: 0:02:11 time: 0.9706 data_time: 0.8294 memory: 1829 2022/08/08 18:45:20 - mmengine - INFO - Epoch(val) [6][40/155] eta: 0:00:51 time: 0.4478 data_time: 0.3080 memory: 1829 2022/08/08 18:45:32 - mmengine - INFO - Epoch(val) [6][60/155] eta: 0:00:57 time: 0.6104 data_time: 0.4708 memory: 1829 2022/08/08 18:45:41 - mmengine - INFO - Epoch(val) [6][80/155] eta: 0:00:34 time: 0.4577 data_time: 0.3179 memory: 1829 2022/08/08 18:45:54 - mmengine - INFO - Epoch(val) [6][100/155] eta: 0:00:33 time: 0.6154 data_time: 0.4750 memory: 1829 2022/08/08 18:46:03 - mmengine - INFO - Epoch(val) [6][120/155] eta: 0:00:16 time: 0.4695 data_time: 0.3300 memory: 1829 2022/08/08 18:46:17 - mmengine - INFO - Epoch(val) [6][140/155] eta: 0:00:10 time: 0.6771 data_time: 0.5361 memory: 1829 2022/08/08 18:46:24 - mmengine - INFO - Epoch(val) [6][155/155] acc/top1: 0.5163 acc/top5: 0.7747 acc/mean1: 0.5163 2022/08/08 18:46:24 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_3.pth is removed 2022/08/08 18:46:25 - mmengine - INFO - The best checkpoint with 0.5163 acc/top1 at 7 epoch is saved to best_acc/top1_epoch_7.pth. 2022/08/08 18:46:42 - mmengine - INFO - Epoch(train) [7][20/1879] lr: 2.0000e-02 eta: 14:58:52 time: 0.8377 data_time: 0.2856 memory: 13723 grad_norm: 4.0238 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8948 loss: 1.8948 2022/08/08 18:46:53 - mmengine - INFO - Epoch(train) [7][40/1879] lr: 2.0000e-02 eta: 14:58:26 time: 0.5651 data_time: 0.0245 memory: 13723 grad_norm: 4.1033 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0777 loss: 2.0777 2022/08/08 18:47:05 - mmengine - INFO - Epoch(train) [7][60/1879] lr: 2.0000e-02 eta: 14:58:00 time: 0.5659 data_time: 0.0244 memory: 13723 grad_norm: 4.1128 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0974 loss: 2.0974 2022/08/08 18:47:16 - mmengine - INFO - Epoch(train) [7][80/1879] lr: 2.0000e-02 eta: 14:57:35 time: 0.5680 data_time: 0.0248 memory: 13723 grad_norm: 4.0590 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9804 loss: 1.9804 2022/08/08 18:47:27 - mmengine - INFO - Epoch(train) [7][100/1879] lr: 2.0000e-02 eta: 14:57:09 time: 0.5618 data_time: 0.0257 memory: 13723 grad_norm: 4.0684 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1443 loss: 2.1443 2022/08/08 18:47:39 - mmengine - INFO - Epoch(train) [7][120/1879] lr: 2.0000e-02 eta: 14:56:44 time: 0.5711 data_time: 0.0259 memory: 13723 grad_norm: 4.0137 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0751 loss: 2.0751 2022/08/08 18:47:50 - mmengine - INFO - Epoch(train) [7][140/1879] lr: 2.0000e-02 eta: 14:56:19 time: 0.5647 data_time: 0.0249 memory: 13723 grad_norm: 3.9482 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8772 loss: 1.8772 2022/08/08 18:48:02 - mmengine - INFO - Epoch(train) [7][160/1879] lr: 2.0000e-02 eta: 14:55:54 time: 0.5698 data_time: 0.0248 memory: 13723 grad_norm: 4.0356 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8915 loss: 1.8915 2022/08/08 18:48:13 - mmengine - INFO - Epoch(train) [7][180/1879] lr: 2.0000e-02 eta: 14:55:28 time: 0.5651 data_time: 0.0248 memory: 13723 grad_norm: 4.1479 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.0604 loss: 2.0604 2022/08/08 18:48:24 - mmengine - INFO - Epoch(train) [7][200/1879] lr: 2.0000e-02 eta: 14:55:03 time: 0.5672 data_time: 0.0263 memory: 13723 grad_norm: 4.1161 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9516 loss: 1.9516 2022/08/08 18:48:36 - mmengine - INFO - Epoch(train) [7][220/1879] lr: 2.0000e-02 eta: 14:54:39 time: 0.5704 data_time: 0.0239 memory: 13723 grad_norm: 4.0564 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9983 loss: 1.9983 2022/08/08 18:48:47 - mmengine - INFO - Epoch(train) [7][240/1879] lr: 2.0000e-02 eta: 14:54:17 time: 0.5891 data_time: 0.0306 memory: 13723 grad_norm: 4.0037 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9889 loss: 1.9889 2022/08/08 18:48:59 - mmengine - INFO - Epoch(train) [7][260/1879] lr: 2.0000e-02 eta: 14:53:51 time: 0.5596 data_time: 0.0228 memory: 13723 grad_norm: 4.0245 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0214 loss: 2.0214 2022/08/08 18:49:10 - mmengine - INFO - Epoch(train) [7][280/1879] lr: 2.0000e-02 eta: 14:53:26 time: 0.5669 data_time: 0.0258 memory: 13723 grad_norm: 4.1049 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0989 loss: 2.0989 2022/08/08 18:49:21 - mmengine - INFO - Epoch(train) [7][300/1879] lr: 2.0000e-02 eta: 14:53:00 time: 0.5622 data_time: 0.0224 memory: 13723 grad_norm: 3.9623 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8933 loss: 1.8933 2022/08/08 18:49:32 - mmengine - INFO - Epoch(train) [7][320/1879] lr: 2.0000e-02 eta: 14:52:35 time: 0.5667 data_time: 0.0261 memory: 13723 grad_norm: 3.9653 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1026 loss: 2.1026 2022/08/08 18:49:44 - mmengine - INFO - Epoch(train) [7][340/1879] lr: 2.0000e-02 eta: 14:52:10 time: 0.5667 data_time: 0.0245 memory: 13723 grad_norm: 4.1399 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9502 loss: 1.9502 2022/08/08 18:49:56 - mmengine - INFO - Epoch(train) [7][360/1879] lr: 2.0000e-02 eta: 14:51:46 time: 0.5724 data_time: 0.0259 memory: 13723 grad_norm: 4.0483 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1691 loss: 2.1691 2022/08/08 18:50:07 - mmengine - INFO - Epoch(train) [7][380/1879] lr: 2.0000e-02 eta: 14:51:25 time: 0.5903 data_time: 0.0454 memory: 13723 grad_norm: 4.0618 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9322 loss: 1.9322 2022/08/08 18:50:19 - mmengine - INFO - Epoch(train) [7][400/1879] lr: 2.0000e-02 eta: 14:51:06 time: 0.6058 data_time: 0.0652 memory: 13723 grad_norm: 4.0123 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0119 loss: 2.0119 2022/08/08 18:50:31 - mmengine - INFO - Epoch(train) [7][420/1879] lr: 2.0000e-02 eta: 14:50:44 time: 0.5890 data_time: 0.0347 memory: 13723 grad_norm: 3.9924 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8680 loss: 1.8680 2022/08/08 18:50:43 - mmengine - INFO - Epoch(train) [7][440/1879] lr: 2.0000e-02 eta: 14:50:23 time: 0.5906 data_time: 0.0282 memory: 13723 grad_norm: 3.9927 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0194 loss: 2.0194 2022/08/08 18:50:55 - mmengine - INFO - Epoch(train) [7][460/1879] lr: 2.0000e-02 eta: 14:50:03 time: 0.6015 data_time: 0.0438 memory: 13723 grad_norm: 4.0837 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9254 loss: 1.9254 2022/08/08 18:51:06 - mmengine - INFO - Epoch(train) [7][480/1879] lr: 2.0000e-02 eta: 14:49:41 time: 0.5815 data_time: 0.0275 memory: 13723 grad_norm: 3.9071 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.2025 loss: 2.2025 2022/08/08 18:51:18 - mmengine - INFO - Epoch(train) [7][500/1879] lr: 2.0000e-02 eta: 14:49:18 time: 0.5824 data_time: 0.0234 memory: 13723 grad_norm: 3.9044 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.1766 loss: 2.1766 2022/08/08 18:51:30 - mmengine - INFO - Epoch(train) [7][520/1879] lr: 2.0000e-02 eta: 14:48:55 time: 0.5735 data_time: 0.0238 memory: 13723 grad_norm: 3.8904 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9803 loss: 1.9803 2022/08/08 18:51:41 - mmengine - INFO - Epoch(train) [7][540/1879] lr: 2.0000e-02 eta: 14:48:30 time: 0.5679 data_time: 0.0251 memory: 13723 grad_norm: 4.0291 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9654 loss: 1.9654 2022/08/08 18:51:52 - mmengine - INFO - Epoch(train) [7][560/1879] lr: 2.0000e-02 eta: 14:48:06 time: 0.5670 data_time: 0.0273 memory: 13723 grad_norm: 3.9820 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8734 loss: 1.8734 2022/08/08 18:52:04 - mmengine - INFO - Epoch(train) [7][580/1879] lr: 2.0000e-02 eta: 14:47:42 time: 0.5676 data_time: 0.0278 memory: 13723 grad_norm: 4.0756 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9668 loss: 1.9668 2022/08/08 18:52:15 - mmengine - INFO - Epoch(train) [7][600/1879] lr: 2.0000e-02 eta: 14:47:17 time: 0.5642 data_time: 0.0239 memory: 13723 grad_norm: 4.1415 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0530 loss: 2.0530 2022/08/08 18:52:26 - mmengine - INFO - Epoch(train) [7][620/1879] lr: 2.0000e-02 eta: 14:46:53 time: 0.5701 data_time: 0.0284 memory: 13723 grad_norm: 4.0252 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0324 loss: 2.0324 2022/08/08 18:52:38 - mmengine - INFO - Epoch(train) [7][640/1879] lr: 2.0000e-02 eta: 14:46:29 time: 0.5677 data_time: 0.0257 memory: 13723 grad_norm: 4.0989 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1521 loss: 2.1521 2022/08/08 18:52:49 - mmengine - INFO - Epoch(train) [7][660/1879] lr: 2.0000e-02 eta: 14:46:05 time: 0.5648 data_time: 0.0266 memory: 13723 grad_norm: 3.8886 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9489 loss: 1.9489 2022/08/08 18:53:00 - mmengine - INFO - Epoch(train) [7][680/1879] lr: 2.0000e-02 eta: 14:45:41 time: 0.5716 data_time: 0.0272 memory: 13723 grad_norm: 3.9950 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2527 loss: 2.2527 2022/08/08 18:53:12 - mmengine - INFO - Epoch(train) [7][700/1879] lr: 2.0000e-02 eta: 14:45:18 time: 0.5758 data_time: 0.0273 memory: 13723 grad_norm: 4.0354 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0176 loss: 2.0176 2022/08/08 18:53:23 - mmengine - INFO - Epoch(train) [7][720/1879] lr: 2.0000e-02 eta: 14:44:55 time: 0.5716 data_time: 0.0245 memory: 13723 grad_norm: 4.1113 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9618 loss: 1.9618 2022/08/08 18:53:27 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 18:53:35 - mmengine - INFO - Epoch(train) [7][740/1879] lr: 2.0000e-02 eta: 14:44:32 time: 0.5735 data_time: 0.0280 memory: 13723 grad_norm: 4.0399 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1164 loss: 2.1164 2022/08/08 18:53:46 - mmengine - INFO - Epoch(train) [7][760/1879] lr: 2.0000e-02 eta: 14:44:08 time: 0.5664 data_time: 0.0269 memory: 13723 grad_norm: 4.0333 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8594 loss: 1.8594 2022/08/08 18:53:58 - mmengine - INFO - Epoch(train) [7][780/1879] lr: 2.0000e-02 eta: 14:43:45 time: 0.5716 data_time: 0.0264 memory: 13723 grad_norm: 4.0360 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9333 loss: 1.9333 2022/08/08 18:54:12 - mmengine - INFO - Epoch(train) [7][800/1879] lr: 2.0000e-02 eta: 14:43:42 time: 0.7264 data_time: 0.0257 memory: 13723 grad_norm: 4.0432 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1902 loss: 2.1902 2022/08/08 18:54:23 - mmengine - INFO - Epoch(train) [7][820/1879] lr: 2.0000e-02 eta: 14:43:18 time: 0.5668 data_time: 0.0257 memory: 13723 grad_norm: 4.0470 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9800 loss: 1.9800 2022/08/08 18:54:35 - mmengine - INFO - Epoch(train) [7][840/1879] lr: 2.0000e-02 eta: 14:42:56 time: 0.5774 data_time: 0.0253 memory: 13723 grad_norm: 4.0138 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0215 loss: 2.0215 2022/08/08 18:54:46 - mmengine - INFO - Epoch(train) [7][860/1879] lr: 2.0000e-02 eta: 14:42:32 time: 0.5646 data_time: 0.0274 memory: 13723 grad_norm: 3.9907 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9867 loss: 1.9867 2022/08/08 18:54:58 - mmengine - INFO - Epoch(train) [7][880/1879] lr: 2.0000e-02 eta: 14:42:08 time: 0.5662 data_time: 0.0267 memory: 13723 grad_norm: 4.0045 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1334 loss: 2.1334 2022/08/08 18:55:09 - mmengine - INFO - Epoch(train) [7][900/1879] lr: 2.0000e-02 eta: 14:41:43 time: 0.5604 data_time: 0.0232 memory: 13723 grad_norm: 3.9269 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2282 loss: 2.2282 2022/08/08 18:55:20 - mmengine - INFO - Epoch(train) [7][920/1879] lr: 2.0000e-02 eta: 14:41:21 time: 0.5725 data_time: 0.0284 memory: 13723 grad_norm: 3.8535 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1053 loss: 2.1053 2022/08/08 18:55:32 - mmengine - INFO - Epoch(train) [7][940/1879] lr: 2.0000e-02 eta: 14:40:57 time: 0.5703 data_time: 0.0283 memory: 13723 grad_norm: 4.0327 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0949 loss: 2.0949 2022/08/08 18:55:43 - mmengine - INFO - Epoch(train) [7][960/1879] lr: 2.0000e-02 eta: 14:40:35 time: 0.5734 data_time: 0.0266 memory: 13723 grad_norm: 3.9913 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9179 loss: 1.9179 2022/08/08 18:55:55 - mmengine - INFO - Epoch(train) [7][980/1879] lr: 2.0000e-02 eta: 14:40:12 time: 0.5761 data_time: 0.0272 memory: 13723 grad_norm: 3.9900 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0424 loss: 2.0424 2022/08/08 18:56:06 - mmengine - INFO - Epoch(train) [7][1000/1879] lr: 2.0000e-02 eta: 14:39:49 time: 0.5682 data_time: 0.0257 memory: 13723 grad_norm: 3.9581 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9203 loss: 1.9203 2022/08/08 18:56:17 - mmengine - INFO - Epoch(train) [7][1020/1879] lr: 2.0000e-02 eta: 14:39:26 time: 0.5685 data_time: 0.0254 memory: 13723 grad_norm: 3.9024 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0727 loss: 2.0727 2022/08/08 18:56:29 - mmengine - INFO - Epoch(train) [7][1040/1879] lr: 2.0000e-02 eta: 14:39:02 time: 0.5631 data_time: 0.0229 memory: 13723 grad_norm: 3.9861 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1413 loss: 2.1413 2022/08/08 18:56:40 - mmengine - INFO - Epoch(train) [7][1060/1879] lr: 2.0000e-02 eta: 14:38:39 time: 0.5683 data_time: 0.0276 memory: 13723 grad_norm: 3.9870 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7998 loss: 1.7998 2022/08/08 18:56:51 - mmengine - INFO - Epoch(train) [7][1080/1879] lr: 2.0000e-02 eta: 14:38:15 time: 0.5653 data_time: 0.0255 memory: 13723 grad_norm: 4.0375 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9987 loss: 1.9987 2022/08/08 18:57:03 - mmengine - INFO - Epoch(train) [7][1100/1879] lr: 2.0000e-02 eta: 14:37:52 time: 0.5695 data_time: 0.0274 memory: 13723 grad_norm: 4.1102 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9713 loss: 1.9713 2022/08/08 18:57:14 - mmengine - INFO - Epoch(train) [7][1120/1879] lr: 2.0000e-02 eta: 14:37:29 time: 0.5676 data_time: 0.0261 memory: 13723 grad_norm: 3.9445 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9783 loss: 1.9783 2022/08/08 18:57:25 - mmengine - INFO - Epoch(train) [7][1140/1879] lr: 2.0000e-02 eta: 14:37:06 time: 0.5688 data_time: 0.0258 memory: 13723 grad_norm: 3.9952 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9240 loss: 1.9240 2022/08/08 18:57:37 - mmengine - INFO - Epoch(train) [7][1160/1879] lr: 2.0000e-02 eta: 14:36:42 time: 0.5660 data_time: 0.0266 memory: 13723 grad_norm: 3.9768 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9788 loss: 1.9788 2022/08/08 18:57:48 - mmengine - INFO - Epoch(train) [7][1180/1879] lr: 2.0000e-02 eta: 14:36:19 time: 0.5668 data_time: 0.0237 memory: 13723 grad_norm: 3.8913 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9745 loss: 1.9745 2022/08/08 18:57:59 - mmengine - INFO - Epoch(train) [7][1200/1879] lr: 2.0000e-02 eta: 14:35:56 time: 0.5647 data_time: 0.0264 memory: 13723 grad_norm: 3.9378 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0884 loss: 2.0884 2022/08/08 18:58:11 - mmengine - INFO - Epoch(train) [7][1220/1879] lr: 2.0000e-02 eta: 14:35:33 time: 0.5651 data_time: 0.0255 memory: 13723 grad_norm: 3.8679 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 1.9694 loss: 1.9694 2022/08/08 18:58:22 - mmengine - INFO - Epoch(train) [7][1240/1879] lr: 2.0000e-02 eta: 14:35:10 time: 0.5677 data_time: 0.0252 memory: 13723 grad_norm: 3.8130 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0889 loss: 2.0889 2022/08/08 18:58:33 - mmengine - INFO - Epoch(train) [7][1260/1879] lr: 2.0000e-02 eta: 14:34:46 time: 0.5660 data_time: 0.0255 memory: 13723 grad_norm: 4.0152 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1733 loss: 2.1733 2022/08/08 18:58:45 - mmengine - INFO - Epoch(train) [7][1280/1879] lr: 2.0000e-02 eta: 14:34:23 time: 0.5663 data_time: 0.0250 memory: 13723 grad_norm: 3.9236 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0470 loss: 2.0470 2022/08/08 18:58:56 - mmengine - INFO - Epoch(train) [7][1300/1879] lr: 2.0000e-02 eta: 14:34:01 time: 0.5700 data_time: 0.0275 memory: 13723 grad_norm: 3.9757 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1915 loss: 2.1915 2022/08/08 18:59:07 - mmengine - INFO - Epoch(train) [7][1320/1879] lr: 2.0000e-02 eta: 14:33:38 time: 0.5651 data_time: 0.0264 memory: 13723 grad_norm: 4.0036 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0849 loss: 2.0849 2022/08/08 18:59:19 - mmengine - INFO - Epoch(train) [7][1340/1879] lr: 2.0000e-02 eta: 14:33:15 time: 0.5695 data_time: 0.0274 memory: 13723 grad_norm: 3.9872 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9531 loss: 1.9531 2022/08/08 18:59:30 - mmengine - INFO - Epoch(train) [7][1360/1879] lr: 2.0000e-02 eta: 14:32:54 time: 0.5758 data_time: 0.0367 memory: 13723 grad_norm: 3.9002 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0654 loss: 2.0654 2022/08/08 18:59:42 - mmengine - INFO - Epoch(train) [7][1380/1879] lr: 2.0000e-02 eta: 14:32:30 time: 0.5625 data_time: 0.0255 memory: 13723 grad_norm: 3.9069 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9293 loss: 1.9293 2022/08/08 18:59:53 - mmengine - INFO - Epoch(train) [7][1400/1879] lr: 2.0000e-02 eta: 14:32:07 time: 0.5643 data_time: 0.0264 memory: 13723 grad_norm: 3.9404 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9956 loss: 1.9956 2022/08/08 19:00:05 - mmengine - INFO - Epoch(train) [7][1420/1879] lr: 2.0000e-02 eta: 14:31:46 time: 0.5807 data_time: 0.0309 memory: 13723 grad_norm: 3.9394 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1324 loss: 2.1324 2022/08/08 19:00:17 - mmengine - INFO - Epoch(train) [7][1440/1879] lr: 2.0000e-02 eta: 14:31:34 time: 0.6461 data_time: 0.0489 memory: 13723 grad_norm: 3.9290 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8826 loss: 1.8826 2022/08/08 19:00:29 - mmengine - INFO - Epoch(train) [7][1460/1879] lr: 2.0000e-02 eta: 14:31:14 time: 0.5885 data_time: 0.0283 memory: 13723 grad_norm: 4.0230 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1988 loss: 2.1988 2022/08/08 19:00:41 - mmengine - INFO - Epoch(train) [7][1480/1879] lr: 2.0000e-02 eta: 14:30:56 time: 0.6055 data_time: 0.0271 memory: 13723 grad_norm: 3.9200 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8297 loss: 1.8297 2022/08/08 19:00:53 - mmengine - INFO - Epoch(train) [7][1500/1879] lr: 2.0000e-02 eta: 14:30:36 time: 0.5862 data_time: 0.0289 memory: 13723 grad_norm: 3.9148 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9978 loss: 1.9978 2022/08/08 19:01:05 - mmengine - INFO - Epoch(train) [7][1520/1879] lr: 2.0000e-02 eta: 14:30:15 time: 0.5818 data_time: 0.0210 memory: 13723 grad_norm: 3.8278 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9943 loss: 1.9943 2022/08/08 19:01:16 - mmengine - INFO - Epoch(train) [7][1540/1879] lr: 2.0000e-02 eta: 14:29:53 time: 0.5683 data_time: 0.0263 memory: 13723 grad_norm: 3.9099 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2164 loss: 2.2164 2022/08/08 19:01:28 - mmengine - INFO - Epoch(train) [7][1560/1879] lr: 2.0000e-02 eta: 14:29:31 time: 0.5720 data_time: 0.0278 memory: 13723 grad_norm: 3.9922 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8390 loss: 1.8390 2022/08/08 19:01:39 - mmengine - INFO - Epoch(train) [7][1580/1879] lr: 2.0000e-02 eta: 14:29:08 time: 0.5664 data_time: 0.0281 memory: 13723 grad_norm: 3.8450 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0236 loss: 2.0236 2022/08/08 19:01:50 - mmengine - INFO - Epoch(train) [7][1600/1879] lr: 2.0000e-02 eta: 14:28:46 time: 0.5717 data_time: 0.0254 memory: 13723 grad_norm: 3.9501 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9777 loss: 1.9777 2022/08/08 19:02:02 - mmengine - INFO - Epoch(train) [7][1620/1879] lr: 2.0000e-02 eta: 14:28:24 time: 0.5689 data_time: 0.0271 memory: 13723 grad_norm: 4.0007 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2102 loss: 2.2102 2022/08/08 19:02:13 - mmengine - INFO - Epoch(train) [7][1640/1879] lr: 2.0000e-02 eta: 14:28:02 time: 0.5681 data_time: 0.0273 memory: 13723 grad_norm: 3.8767 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0186 loss: 2.0186 2022/08/08 19:02:25 - mmengine - INFO - Epoch(train) [7][1660/1879] lr: 2.0000e-02 eta: 14:27:41 time: 0.5803 data_time: 0.0275 memory: 13723 grad_norm: 3.9986 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1268 loss: 2.1268 2022/08/08 19:02:36 - mmengine - INFO - Epoch(train) [7][1680/1879] lr: 2.0000e-02 eta: 14:27:19 time: 0.5707 data_time: 0.0254 memory: 13723 grad_norm: 3.9507 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1269 loss: 2.1269 2022/08/08 19:02:47 - mmengine - INFO - Epoch(train) [7][1700/1879] lr: 2.0000e-02 eta: 14:26:57 time: 0.5622 data_time: 0.0242 memory: 13723 grad_norm: 3.9719 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8573 loss: 1.8573 2022/08/08 19:02:59 - mmengine - INFO - Epoch(train) [7][1720/1879] lr: 2.0000e-02 eta: 14:26:34 time: 0.5649 data_time: 0.0261 memory: 13723 grad_norm: 3.9709 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1613 loss: 2.1613 2022/08/08 19:03:02 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 19:03:10 - mmengine - INFO - Epoch(train) [7][1740/1879] lr: 2.0000e-02 eta: 14:26:12 time: 0.5688 data_time: 0.0258 memory: 13723 grad_norm: 3.9127 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0662 loss: 2.0662 2022/08/08 19:03:21 - mmengine - INFO - Epoch(train) [7][1760/1879] lr: 2.0000e-02 eta: 14:25:49 time: 0.5632 data_time: 0.0258 memory: 13723 grad_norm: 3.9420 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1525 loss: 2.1525 2022/08/08 19:03:33 - mmengine - INFO - Epoch(train) [7][1780/1879] lr: 2.0000e-02 eta: 14:25:28 time: 0.5685 data_time: 0.0251 memory: 13723 grad_norm: 3.8884 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1038 loss: 2.1038 2022/08/08 19:03:44 - mmengine - INFO - Epoch(train) [7][1800/1879] lr: 2.0000e-02 eta: 14:25:05 time: 0.5628 data_time: 0.0260 memory: 13723 grad_norm: 3.9362 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.9681 loss: 1.9681 2022/08/08 19:03:55 - mmengine - INFO - Epoch(train) [7][1820/1879] lr: 2.0000e-02 eta: 14:24:43 time: 0.5657 data_time: 0.0246 memory: 13723 grad_norm: 3.9955 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1384 loss: 2.1384 2022/08/08 19:04:07 - mmengine - INFO - Epoch(train) [7][1840/1879] lr: 2.0000e-02 eta: 14:24:20 time: 0.5653 data_time: 0.0249 memory: 13723 grad_norm: 3.8928 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0522 loss: 2.0522 2022/08/08 19:04:18 - mmengine - INFO - Epoch(train) [7][1860/1879] lr: 2.0000e-02 eta: 14:24:00 time: 0.5807 data_time: 0.0489 memory: 13723 grad_norm: 3.9385 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9543 loss: 1.9543 2022/08/08 19:04:28 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 19:04:28 - mmengine - INFO - Epoch(train) [7][1879/1879] lr: 2.0000e-02 eta: 14:24:00 time: 0.5440 data_time: 0.0189 memory: 13723 grad_norm: 3.9847 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.0804 loss: 2.0804 2022/08/08 19:04:43 - mmengine - INFO - Epoch(val) [7][20/155] eta: 0:01:36 time: 0.7174 data_time: 0.5771 memory: 1829 2022/08/08 19:04:51 - mmengine - INFO - Epoch(val) [7][40/155] eta: 0:00:48 time: 0.4230 data_time: 0.2803 memory: 1829 2022/08/08 19:05:04 - mmengine - INFO - Epoch(val) [7][60/155] eta: 0:01:00 time: 0.6411 data_time: 0.5013 memory: 1829 2022/08/08 19:05:13 - mmengine - INFO - Epoch(val) [7][80/155] eta: 0:00:34 time: 0.4594 data_time: 0.3175 memory: 1829 2022/08/08 19:05:25 - mmengine - INFO - Epoch(val) [7][100/155] eta: 0:00:32 time: 0.5929 data_time: 0.4534 memory: 1829 2022/08/08 19:05:35 - mmengine - INFO - Epoch(val) [7][120/155] eta: 0:00:16 time: 0.4842 data_time: 0.3440 memory: 1829 2022/08/08 19:05:47 - mmengine - INFO - Epoch(val) [7][140/155] eta: 0:00:09 time: 0.6164 data_time: 0.4770 memory: 1829 2022/08/08 19:05:56 - mmengine - INFO - Epoch(val) [7][155/155] acc/top1: 0.5450 acc/top5: 0.7997 acc/mean1: 0.5449 2022/08/08 19:05:56 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_7.pth is removed 2022/08/08 19:05:58 - mmengine - INFO - The best checkpoint with 0.5450 acc/top1 at 8 epoch is saved to best_acc/top1_epoch_8.pth. 2022/08/08 19:06:13 - mmengine - INFO - Epoch(train) [8][20/1879] lr: 2.0000e-02 eta: 14:22:36 time: 0.7732 data_time: 0.2277 memory: 13723 grad_norm: 3.9152 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.0840 loss: 2.0840 2022/08/08 19:06:25 - mmengine - INFO - Epoch(train) [8][40/1879] lr: 2.0000e-02 eta: 14:22:16 time: 0.5760 data_time: 0.0248 memory: 13723 grad_norm: 3.9515 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1531 loss: 2.1531 2022/08/08 19:06:36 - mmengine - INFO - Epoch(train) [8][60/1879] lr: 2.0000e-02 eta: 14:21:56 time: 0.5812 data_time: 0.0280 memory: 13723 grad_norm: 3.9959 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0044 loss: 2.0044 2022/08/08 19:06:48 - mmengine - INFO - Epoch(train) [8][80/1879] lr: 2.0000e-02 eta: 14:21:35 time: 0.5788 data_time: 0.0243 memory: 13723 grad_norm: 3.9359 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0167 loss: 2.0167 2022/08/08 19:06:59 - mmengine - INFO - Epoch(train) [8][100/1879] lr: 2.0000e-02 eta: 14:21:15 time: 0.5780 data_time: 0.0263 memory: 13723 grad_norm: 3.9308 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8803 loss: 1.8803 2022/08/08 19:07:11 - mmengine - INFO - Epoch(train) [8][120/1879] lr: 2.0000e-02 eta: 14:20:53 time: 0.5679 data_time: 0.0217 memory: 13723 grad_norm: 3.8689 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9400 loss: 1.9400 2022/08/08 19:07:22 - mmengine - INFO - Epoch(train) [8][140/1879] lr: 2.0000e-02 eta: 14:20:32 time: 0.5718 data_time: 0.0295 memory: 13723 grad_norm: 3.9225 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9047 loss: 1.9047 2022/08/08 19:07:33 - mmengine - INFO - Epoch(train) [8][160/1879] lr: 2.0000e-02 eta: 14:20:10 time: 0.5656 data_time: 0.0247 memory: 13723 grad_norm: 4.0475 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0092 loss: 2.0092 2022/08/08 19:07:45 - mmengine - INFO - Epoch(train) [8][180/1879] lr: 2.0000e-02 eta: 14:19:49 time: 0.5660 data_time: 0.0269 memory: 13723 grad_norm: 4.0318 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9280 loss: 1.9280 2022/08/08 19:07:56 - mmengine - INFO - Epoch(train) [8][200/1879] lr: 2.0000e-02 eta: 14:19:27 time: 0.5649 data_time: 0.0236 memory: 13723 grad_norm: 3.8703 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0413 loss: 2.0413 2022/08/08 19:08:07 - mmengine - INFO - Epoch(train) [8][220/1879] lr: 2.0000e-02 eta: 14:19:06 time: 0.5728 data_time: 0.0272 memory: 13723 grad_norm: 3.8681 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9558 loss: 1.9558 2022/08/08 19:08:19 - mmengine - INFO - Epoch(train) [8][240/1879] lr: 2.0000e-02 eta: 14:18:45 time: 0.5709 data_time: 0.0270 memory: 13723 grad_norm: 4.0134 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7003 loss: 1.7003 2022/08/08 19:08:30 - mmengine - INFO - Epoch(train) [8][260/1879] lr: 2.0000e-02 eta: 14:18:25 time: 0.5781 data_time: 0.0285 memory: 13723 grad_norm: 3.9538 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0250 loss: 2.0250 2022/08/08 19:08:42 - mmengine - INFO - Epoch(train) [8][280/1879] lr: 2.0000e-02 eta: 14:18:05 time: 0.5814 data_time: 0.0281 memory: 13723 grad_norm: 3.9166 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8641 loss: 1.8641 2022/08/08 19:08:54 - mmengine - INFO - Epoch(train) [8][300/1879] lr: 2.0000e-02 eta: 14:17:45 time: 0.5803 data_time: 0.0249 memory: 13723 grad_norm: 3.9593 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0047 loss: 2.0047 2022/08/08 19:09:06 - mmengine - INFO - Epoch(train) [8][320/1879] lr: 2.0000e-02 eta: 14:17:29 time: 0.6120 data_time: 0.0290 memory: 13723 grad_norm: 3.9197 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9646 loss: 1.9646 2022/08/08 19:09:17 - mmengine - INFO - Epoch(train) [8][340/1879] lr: 2.0000e-02 eta: 14:17:08 time: 0.5669 data_time: 0.0223 memory: 13723 grad_norm: 3.9864 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9229 loss: 1.9229 2022/08/08 19:09:29 - mmengine - INFO - Epoch(train) [8][360/1879] lr: 2.0000e-02 eta: 14:16:46 time: 0.5689 data_time: 0.0279 memory: 13723 grad_norm: 3.8067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9225 loss: 1.9225 2022/08/08 19:09:40 - mmengine - INFO - Epoch(train) [8][380/1879] lr: 2.0000e-02 eta: 14:16:27 time: 0.5821 data_time: 0.0487 memory: 13723 grad_norm: 4.0090 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1564 loss: 2.1564 2022/08/08 19:09:52 - mmengine - INFO - Epoch(train) [8][400/1879] lr: 2.0000e-02 eta: 14:16:06 time: 0.5682 data_time: 0.0253 memory: 13723 grad_norm: 3.9745 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9181 loss: 1.9181 2022/08/08 19:10:03 - mmengine - INFO - Epoch(train) [8][420/1879] lr: 2.0000e-02 eta: 14:15:45 time: 0.5734 data_time: 0.0277 memory: 13723 grad_norm: 4.0362 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1648 loss: 2.1648 2022/08/08 19:10:16 - mmengine - INFO - Epoch(train) [8][440/1879] lr: 2.0000e-02 eta: 14:15:30 time: 0.6215 data_time: 0.0302 memory: 13723 grad_norm: 3.9787 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8002 loss: 1.8002 2022/08/08 19:10:28 - mmengine - INFO - Epoch(train) [8][460/1879] lr: 2.0000e-02 eta: 14:15:16 time: 0.6242 data_time: 0.0295 memory: 13723 grad_norm: 3.9249 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0702 loss: 2.0702 2022/08/08 19:10:40 - mmengine - INFO - Epoch(train) [8][480/1879] lr: 2.0000e-02 eta: 14:14:56 time: 0.5779 data_time: 0.0286 memory: 13723 grad_norm: 3.8851 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1206 loss: 2.1206 2022/08/08 19:10:51 - mmengine - INFO - Epoch(train) [8][500/1879] lr: 2.0000e-02 eta: 14:14:37 time: 0.5893 data_time: 0.0268 memory: 13723 grad_norm: 3.9905 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9195 loss: 1.9195 2022/08/08 19:11:03 - mmengine - INFO - Epoch(train) [8][520/1879] lr: 2.0000e-02 eta: 14:14:19 time: 0.5960 data_time: 0.0429 memory: 13723 grad_norm: 3.9294 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9093 loss: 1.9093 2022/08/08 19:11:15 - mmengine - INFO - Epoch(train) [8][540/1879] lr: 2.0000e-02 eta: 14:14:00 time: 0.5823 data_time: 0.0245 memory: 13723 grad_norm: 3.9237 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8612 loss: 1.8612 2022/08/08 19:11:27 - mmengine - INFO - Epoch(train) [8][560/1879] lr: 2.0000e-02 eta: 14:13:44 time: 0.6061 data_time: 0.0246 memory: 13723 grad_norm: 3.9376 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7958 loss: 1.7958 2022/08/08 19:11:38 - mmengine - INFO - Epoch(train) [8][580/1879] lr: 2.0000e-02 eta: 14:13:22 time: 0.5666 data_time: 0.0260 memory: 13723 grad_norm: 3.9295 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9202 loss: 1.9202 2022/08/08 19:11:50 - mmengine - INFO - Epoch(train) [8][600/1879] lr: 2.0000e-02 eta: 14:13:02 time: 0.5726 data_time: 0.0256 memory: 13723 grad_norm: 3.9728 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8478 loss: 1.8478 2022/08/08 19:12:01 - mmengine - INFO - Epoch(train) [8][620/1879] lr: 2.0000e-02 eta: 14:12:41 time: 0.5667 data_time: 0.0261 memory: 13723 grad_norm: 3.9410 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9301 loss: 1.9301 2022/08/08 19:12:12 - mmengine - INFO - Epoch(train) [8][640/1879] lr: 2.0000e-02 eta: 14:12:19 time: 0.5608 data_time: 0.0270 memory: 13723 grad_norm: 3.8661 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0834 loss: 2.0834 2022/08/08 19:12:24 - mmengine - INFO - Epoch(train) [8][660/1879] lr: 2.0000e-02 eta: 14:11:58 time: 0.5665 data_time: 0.0256 memory: 13723 grad_norm: 3.7730 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9747 loss: 1.9747 2022/08/08 19:12:35 - mmengine - INFO - Epoch(train) [8][680/1879] lr: 2.0000e-02 eta: 14:11:37 time: 0.5650 data_time: 0.0254 memory: 13723 grad_norm: 3.8178 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0181 loss: 2.0181 2022/08/08 19:12:46 - mmengine - INFO - Epoch(train) [8][700/1879] lr: 2.0000e-02 eta: 14:11:16 time: 0.5656 data_time: 0.0279 memory: 13723 grad_norm: 4.0039 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9059 loss: 1.9059 2022/08/08 19:12:58 - mmengine - INFO - Epoch(train) [8][720/1879] lr: 2.0000e-02 eta: 14:10:55 time: 0.5679 data_time: 0.0248 memory: 13723 grad_norm: 3.9279 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1423 loss: 2.1423 2022/08/08 19:13:09 - mmengine - INFO - Epoch(train) [8][740/1879] lr: 2.0000e-02 eta: 14:10:34 time: 0.5705 data_time: 0.0259 memory: 13723 grad_norm: 3.8699 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8585 loss: 1.8585 2022/08/08 19:13:21 - mmengine - INFO - Epoch(train) [8][760/1879] lr: 2.0000e-02 eta: 14:10:13 time: 0.5659 data_time: 0.0266 memory: 13723 grad_norm: 3.9184 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9388 loss: 1.9388 2022/08/08 19:13:32 - mmengine - INFO - Epoch(train) [8][780/1879] lr: 2.0000e-02 eta: 14:09:53 time: 0.5665 data_time: 0.0257 memory: 13723 grad_norm: 3.9208 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9569 loss: 1.9569 2022/08/08 19:13:43 - mmengine - INFO - Epoch(train) [8][800/1879] lr: 2.0000e-02 eta: 14:09:32 time: 0.5688 data_time: 0.0277 memory: 13723 grad_norm: 3.9691 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9990 loss: 1.9990 2022/08/08 19:13:54 - mmengine - INFO - Epoch(train) [8][820/1879] lr: 2.0000e-02 eta: 14:09:11 time: 0.5615 data_time: 0.0257 memory: 13723 grad_norm: 3.9565 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1652 loss: 2.1652 2022/08/08 19:14:06 - mmengine - INFO - Epoch(train) [8][840/1879] lr: 2.0000e-02 eta: 14:08:50 time: 0.5710 data_time: 0.0244 memory: 13723 grad_norm: 3.8277 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9677 loss: 1.9677 2022/08/08 19:14:10 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 19:14:17 - mmengine - INFO - Epoch(train) [8][860/1879] lr: 2.0000e-02 eta: 14:08:29 time: 0.5641 data_time: 0.0256 memory: 13723 grad_norm: 4.0193 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9404 loss: 1.9404 2022/08/08 19:14:28 - mmengine - INFO - Epoch(train) [8][880/1879] lr: 2.0000e-02 eta: 14:08:08 time: 0.5627 data_time: 0.0254 memory: 13723 grad_norm: 3.8714 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0424 loss: 2.0424 2022/08/08 19:14:40 - mmengine - INFO - Epoch(train) [8][900/1879] lr: 2.0000e-02 eta: 14:07:47 time: 0.5679 data_time: 0.0265 memory: 13723 grad_norm: 3.9106 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8513 loss: 1.8513 2022/08/08 19:14:51 - mmengine - INFO - Epoch(train) [8][920/1879] lr: 2.0000e-02 eta: 14:07:27 time: 0.5668 data_time: 0.0246 memory: 13723 grad_norm: 3.9640 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8117 loss: 1.8117 2022/08/08 19:15:02 - mmengine - INFO - Epoch(train) [8][940/1879] lr: 2.0000e-02 eta: 14:07:06 time: 0.5637 data_time: 0.0289 memory: 13723 grad_norm: 3.9043 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8260 loss: 1.8260 2022/08/08 19:15:14 - mmengine - INFO - Epoch(train) [8][960/1879] lr: 2.0000e-02 eta: 14:06:45 time: 0.5658 data_time: 0.0291 memory: 13723 grad_norm: 3.9244 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0276 loss: 2.0276 2022/08/08 19:15:25 - mmengine - INFO - Epoch(train) [8][980/1879] lr: 2.0000e-02 eta: 14:06:26 time: 0.5821 data_time: 0.0269 memory: 13723 grad_norm: 3.9607 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0845 loss: 2.0845 2022/08/08 19:15:37 - mmengine - INFO - Epoch(train) [8][1000/1879] lr: 2.0000e-02 eta: 14:06:08 time: 0.5845 data_time: 0.0273 memory: 13723 grad_norm: 3.8605 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9432 loss: 1.9432 2022/08/08 19:15:49 - mmengine - INFO - Epoch(train) [8][1020/1879] lr: 2.0000e-02 eta: 14:05:49 time: 0.5856 data_time: 0.0295 memory: 13723 grad_norm: 3.8544 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8880 loss: 1.8880 2022/08/08 19:16:00 - mmengine - INFO - Epoch(train) [8][1040/1879] lr: 2.0000e-02 eta: 14:05:30 time: 0.5752 data_time: 0.0266 memory: 13723 grad_norm: 3.8568 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7884 loss: 1.7884 2022/08/08 19:16:12 - mmengine - INFO - Epoch(train) [8][1060/1879] lr: 2.0000e-02 eta: 14:05:09 time: 0.5669 data_time: 0.0233 memory: 13723 grad_norm: 3.9892 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9692 loss: 1.9692 2022/08/08 19:16:23 - mmengine - INFO - Epoch(train) [8][1080/1879] lr: 2.0000e-02 eta: 14:04:49 time: 0.5677 data_time: 0.0244 memory: 13723 grad_norm: 3.8391 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9086 loss: 1.9086 2022/08/08 19:16:34 - mmengine - INFO - Epoch(train) [8][1100/1879] lr: 2.0000e-02 eta: 14:04:29 time: 0.5745 data_time: 0.0257 memory: 13723 grad_norm: 3.8320 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8576 loss: 1.8576 2022/08/08 19:16:46 - mmengine - INFO - Epoch(train) [8][1120/1879] lr: 2.0000e-02 eta: 14:04:09 time: 0.5719 data_time: 0.0244 memory: 13723 grad_norm: 3.9173 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0575 loss: 2.0575 2022/08/08 19:16:57 - mmengine - INFO - Epoch(train) [8][1140/1879] lr: 2.0000e-02 eta: 14:03:50 time: 0.5745 data_time: 0.0250 memory: 13723 grad_norm: 3.9222 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9992 loss: 1.9992 2022/08/08 19:17:12 - mmengine - INFO - Epoch(train) [8][1160/1879] lr: 2.0000e-02 eta: 14:03:45 time: 0.7065 data_time: 0.1414 memory: 13723 grad_norm: 3.8859 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9344 loss: 1.9344 2022/08/08 19:17:23 - mmengine - INFO - Epoch(train) [8][1180/1879] lr: 2.0000e-02 eta: 14:03:25 time: 0.5675 data_time: 0.0227 memory: 13723 grad_norm: 4.0245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8901 loss: 1.8901 2022/08/08 19:17:34 - mmengine - INFO - Epoch(train) [8][1200/1879] lr: 2.0000e-02 eta: 14:03:05 time: 0.5745 data_time: 0.0235 memory: 13723 grad_norm: 3.9377 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0382 loss: 2.0382 2022/08/08 19:17:46 - mmengine - INFO - Epoch(train) [8][1220/1879] lr: 2.0000e-02 eta: 14:02:46 time: 0.5730 data_time: 0.0266 memory: 13723 grad_norm: 3.9289 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8400 loss: 1.8400 2022/08/08 19:17:57 - mmengine - INFO - Epoch(train) [8][1240/1879] lr: 2.0000e-02 eta: 14:02:27 time: 0.5786 data_time: 0.0244 memory: 13723 grad_norm: 3.8887 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7954 loss: 1.7954 2022/08/08 19:18:09 - mmengine - INFO - Epoch(train) [8][1260/1879] lr: 2.0000e-02 eta: 14:02:09 time: 0.5890 data_time: 0.0246 memory: 13723 grad_norm: 3.9154 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8853 loss: 1.8853 2022/08/08 19:18:20 - mmengine - INFO - Epoch(train) [8][1280/1879] lr: 2.0000e-02 eta: 14:01:48 time: 0.5627 data_time: 0.0253 memory: 13723 grad_norm: 3.8711 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0094 loss: 2.0094 2022/08/08 19:18:32 - mmengine - INFO - Epoch(train) [8][1300/1879] lr: 2.0000e-02 eta: 14:01:29 time: 0.5770 data_time: 0.0264 memory: 13723 grad_norm: 3.9715 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8578 loss: 1.8578 2022/08/08 19:18:43 - mmengine - INFO - Epoch(train) [8][1320/1879] lr: 2.0000e-02 eta: 14:01:09 time: 0.5665 data_time: 0.0243 memory: 13723 grad_norm: 3.9739 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9451 loss: 1.9451 2022/08/08 19:18:55 - mmengine - INFO - Epoch(train) [8][1340/1879] lr: 2.0000e-02 eta: 14:00:49 time: 0.5696 data_time: 0.0236 memory: 13723 grad_norm: 3.9645 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9143 loss: 1.9143 2022/08/08 19:19:06 - mmengine - INFO - Epoch(train) [8][1360/1879] lr: 2.0000e-02 eta: 14:00:29 time: 0.5718 data_time: 0.0273 memory: 13723 grad_norm: 3.8951 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8648 loss: 1.8648 2022/08/08 19:19:18 - mmengine - INFO - Epoch(train) [8][1380/1879] lr: 2.0000e-02 eta: 14:00:10 time: 0.5701 data_time: 0.0232 memory: 13723 grad_norm: 3.8931 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8140 loss: 1.8140 2022/08/08 19:19:29 - mmengine - INFO - Epoch(train) [8][1400/1879] lr: 2.0000e-02 eta: 13:59:51 time: 0.5788 data_time: 0.0228 memory: 13723 grad_norm: 3.9575 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8776 loss: 1.8776 2022/08/08 19:19:41 - mmengine - INFO - Epoch(train) [8][1420/1879] lr: 2.0000e-02 eta: 13:59:32 time: 0.5768 data_time: 0.0260 memory: 13723 grad_norm: 3.9050 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9311 loss: 1.9311 2022/08/08 19:19:53 - mmengine - INFO - Epoch(train) [8][1440/1879] lr: 2.0000e-02 eta: 13:59:15 time: 0.6006 data_time: 0.0239 memory: 13723 grad_norm: 3.9259 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9044 loss: 1.9044 2022/08/08 19:20:05 - mmengine - INFO - Epoch(train) [8][1460/1879] lr: 2.0000e-02 eta: 13:58:59 time: 0.6006 data_time: 0.0308 memory: 13723 grad_norm: 3.9057 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0972 loss: 2.0972 2022/08/08 19:20:17 - mmengine - INFO - Epoch(train) [8][1480/1879] lr: 2.0000e-02 eta: 13:58:47 time: 0.6370 data_time: 0.0213 memory: 13723 grad_norm: 3.9093 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0104 loss: 2.0104 2022/08/08 19:20:29 - mmengine - INFO - Epoch(train) [8][1500/1879] lr: 2.0000e-02 eta: 13:58:28 time: 0.5787 data_time: 0.0263 memory: 13723 grad_norm: 3.9320 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1478 loss: 2.1478 2022/08/08 19:20:41 - mmengine - INFO - Epoch(train) [8][1520/1879] lr: 2.0000e-02 eta: 13:58:09 time: 0.5804 data_time: 0.0279 memory: 13723 grad_norm: 3.7434 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0249 loss: 2.0249 2022/08/08 19:20:52 - mmengine - INFO - Epoch(train) [8][1540/1879] lr: 2.0000e-02 eta: 13:57:49 time: 0.5678 data_time: 0.0227 memory: 13723 grad_norm: 3.8883 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7750 loss: 1.7750 2022/08/08 19:21:03 - mmengine - INFO - Epoch(train) [8][1560/1879] lr: 2.0000e-02 eta: 13:57:30 time: 0.5736 data_time: 0.0287 memory: 13723 grad_norm: 3.9544 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0221 loss: 2.0221 2022/08/08 19:21:15 - mmengine - INFO - Epoch(train) [8][1580/1879] lr: 2.0000e-02 eta: 13:57:12 time: 0.5836 data_time: 0.0211 memory: 13723 grad_norm: 3.8006 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0205 loss: 2.0205 2022/08/08 19:21:26 - mmengine - INFO - Epoch(train) [8][1600/1879] lr: 2.0000e-02 eta: 13:56:52 time: 0.5624 data_time: 0.0257 memory: 13723 grad_norm: 3.8783 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8251 loss: 1.8251 2022/08/08 19:21:38 - mmengine - INFO - Epoch(train) [8][1620/1879] lr: 2.0000e-02 eta: 13:56:31 time: 0.5630 data_time: 0.0255 memory: 13723 grad_norm: 4.0481 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.8940 loss: 1.8940 2022/08/08 19:21:49 - mmengine - INFO - Epoch(train) [8][1640/1879] lr: 2.0000e-02 eta: 13:56:12 time: 0.5704 data_time: 0.0257 memory: 13723 grad_norm: 3.9817 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9883 loss: 1.9883 2022/08/08 19:22:00 - mmengine - INFO - Epoch(train) [8][1660/1879] lr: 2.0000e-02 eta: 13:55:52 time: 0.5663 data_time: 0.0272 memory: 13723 grad_norm: 3.8620 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8353 loss: 1.8353 2022/08/08 19:22:12 - mmengine - INFO - Epoch(train) [8][1680/1879] lr: 2.0000e-02 eta: 13:55:32 time: 0.5661 data_time: 0.0271 memory: 13723 grad_norm: 3.9377 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0107 loss: 2.0107 2022/08/08 19:22:23 - mmengine - INFO - Epoch(train) [8][1700/1879] lr: 2.0000e-02 eta: 13:55:13 time: 0.5715 data_time: 0.0213 memory: 13723 grad_norm: 3.8826 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.9724 loss: 1.9724 2022/08/08 19:22:35 - mmengine - INFO - Epoch(train) [8][1720/1879] lr: 2.0000e-02 eta: 13:54:54 time: 0.5769 data_time: 0.0320 memory: 13723 grad_norm: 3.8368 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9128 loss: 1.9128 2022/08/08 19:22:46 - mmengine - INFO - Epoch(train) [8][1740/1879] lr: 2.0000e-02 eta: 13:54:34 time: 0.5632 data_time: 0.0213 memory: 13723 grad_norm: 3.8594 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9168 loss: 1.9168 2022/08/08 19:22:57 - mmengine - INFO - Epoch(train) [8][1760/1879] lr: 2.0000e-02 eta: 13:54:14 time: 0.5643 data_time: 0.0276 memory: 13723 grad_norm: 3.8758 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9212 loss: 1.9212 2022/08/08 19:23:09 - mmengine - INFO - Epoch(train) [8][1780/1879] lr: 2.0000e-02 eta: 13:53:54 time: 0.5671 data_time: 0.0266 memory: 13723 grad_norm: 3.7875 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9031 loss: 1.9031 2022/08/08 19:23:20 - mmengine - INFO - Epoch(train) [8][1800/1879] lr: 2.0000e-02 eta: 13:53:34 time: 0.5635 data_time: 0.0248 memory: 13723 grad_norm: 3.8008 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9006 loss: 1.9006 2022/08/08 19:23:31 - mmengine - INFO - Epoch(train) [8][1820/1879] lr: 2.0000e-02 eta: 13:53:15 time: 0.5691 data_time: 0.0285 memory: 13723 grad_norm: 3.8866 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9251 loss: 1.9251 2022/08/08 19:23:43 - mmengine - INFO - Epoch(train) [8][1840/1879] lr: 2.0000e-02 eta: 13:52:55 time: 0.5677 data_time: 0.0247 memory: 13723 grad_norm: 3.8648 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8994 loss: 1.8994 2022/08/08 19:23:47 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 19:23:54 - mmengine - INFO - Epoch(train) [8][1860/1879] lr: 2.0000e-02 eta: 13:52:35 time: 0.5626 data_time: 0.0246 memory: 13723 grad_norm: 3.8290 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0368 loss: 2.0368 2022/08/08 19:24:04 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 19:24:04 - mmengine - INFO - Epoch(train) [8][1879/1879] lr: 2.0000e-02 eta: 13:52:35 time: 0.5314 data_time: 0.0181 memory: 13723 grad_norm: 4.0057 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.0225 loss: 2.0225 2022/08/08 19:24:18 - mmengine - INFO - Epoch(val) [8][20/155] eta: 0:01:33 time: 0.6907 data_time: 0.5289 memory: 1829 2022/08/08 19:24:26 - mmengine - INFO - Epoch(val) [8][40/155] eta: 0:00:48 time: 0.4257 data_time: 0.2862 memory: 1829 2022/08/08 19:24:39 - mmengine - INFO - Epoch(val) [8][60/155] eta: 0:00:58 time: 0.6165 data_time: 0.4767 memory: 1829 2022/08/08 19:24:48 - mmengine - INFO - Epoch(val) [8][80/155] eta: 0:00:34 time: 0.4632 data_time: 0.3214 memory: 1829 2022/08/08 19:25:01 - mmengine - INFO - Epoch(val) [8][100/155] eta: 0:00:35 time: 0.6423 data_time: 0.5018 memory: 1829 2022/08/08 19:25:13 - mmengine - INFO - Epoch(val) [8][120/155] eta: 0:00:21 time: 0.6131 data_time: 0.4733 memory: 1829 2022/08/08 19:25:26 - mmengine - INFO - Epoch(val) [8][140/155] eta: 0:00:09 time: 0.6259 data_time: 0.4857 memory: 1829 2022/08/08 19:25:35 - mmengine - INFO - Epoch(val) [8][155/155] acc/top1: 0.5519 acc/top5: 0.8051 acc/mean1: 0.5519 2022/08/08 19:25:35 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_8.pth is removed 2022/08/08 19:25:36 - mmengine - INFO - The best checkpoint with 0.5519 acc/top1 at 9 epoch is saved to best_acc/top1_epoch_9.pth. 2022/08/08 19:25:51 - mmengine - INFO - Epoch(train) [9][20/1879] lr: 2.0000e-02 eta: 13:51:23 time: 0.7787 data_time: 0.2308 memory: 13723 grad_norm: 3.8592 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7145 loss: 1.7145 2022/08/08 19:26:03 - mmengine - INFO - Epoch(train) [9][40/1879] lr: 2.0000e-02 eta: 13:51:04 time: 0.5740 data_time: 0.0254 memory: 13723 grad_norm: 3.7329 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7819 loss: 1.7819 2022/08/08 19:26:15 - mmengine - INFO - Epoch(train) [9][60/1879] lr: 2.0000e-02 eta: 13:50:47 time: 0.5849 data_time: 0.0283 memory: 13723 grad_norm: 3.8785 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9698 loss: 1.9698 2022/08/08 19:26:27 - mmengine - INFO - Epoch(train) [9][80/1879] lr: 2.0000e-02 eta: 13:50:30 time: 0.5937 data_time: 0.0497 memory: 13723 grad_norm: 3.8341 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9039 loss: 1.9039 2022/08/08 19:26:38 - mmengine - INFO - Epoch(train) [9][100/1879] lr: 2.0000e-02 eta: 13:50:11 time: 0.5694 data_time: 0.0256 memory: 13723 grad_norm: 3.8019 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9351 loss: 1.9351 2022/08/08 19:26:49 - mmengine - INFO - Epoch(train) [9][120/1879] lr: 2.0000e-02 eta: 13:49:51 time: 0.5621 data_time: 0.0244 memory: 13723 grad_norm: 3.8692 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8293 loss: 1.8293 2022/08/08 19:27:01 - mmengine - INFO - Epoch(train) [9][140/1879] lr: 2.0000e-02 eta: 13:49:32 time: 0.5709 data_time: 0.0284 memory: 13723 grad_norm: 3.8854 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7930 loss: 1.7930 2022/08/08 19:27:12 - mmengine - INFO - Epoch(train) [9][160/1879] lr: 2.0000e-02 eta: 13:49:13 time: 0.5755 data_time: 0.0259 memory: 13723 grad_norm: 3.9497 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8521 loss: 1.8521 2022/08/08 19:27:23 - mmengine - INFO - Epoch(train) [9][180/1879] lr: 2.0000e-02 eta: 13:48:54 time: 0.5670 data_time: 0.0245 memory: 13723 grad_norm: 3.8359 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0297 loss: 2.0297 2022/08/08 19:27:35 - mmengine - INFO - Epoch(train) [9][200/1879] lr: 2.0000e-02 eta: 13:48:35 time: 0.5683 data_time: 0.0244 memory: 13723 grad_norm: 3.7864 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6928 loss: 1.6928 2022/08/08 19:27:46 - mmengine - INFO - Epoch(train) [9][220/1879] lr: 2.0000e-02 eta: 13:48:17 time: 0.5767 data_time: 0.0264 memory: 13723 grad_norm: 3.9155 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8083 loss: 1.8083 2022/08/08 19:27:58 - mmengine - INFO - Epoch(train) [9][240/1879] lr: 2.0000e-02 eta: 13:47:58 time: 0.5705 data_time: 0.0215 memory: 13723 grad_norm: 3.8041 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8379 loss: 1.8379 2022/08/08 19:28:09 - mmengine - INFO - Epoch(train) [9][260/1879] lr: 2.0000e-02 eta: 13:47:40 time: 0.5782 data_time: 0.0267 memory: 13723 grad_norm: 3.8920 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7880 loss: 1.7880 2022/08/08 19:28:21 - mmengine - INFO - Epoch(train) [9][280/1879] lr: 2.0000e-02 eta: 13:47:22 time: 0.5785 data_time: 0.0221 memory: 13723 grad_norm: 3.9518 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9012 loss: 1.9012 2022/08/08 19:28:32 - mmengine - INFO - Epoch(train) [9][300/1879] lr: 2.0000e-02 eta: 13:47:02 time: 0.5685 data_time: 0.0251 memory: 13723 grad_norm: 3.8425 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8741 loss: 1.8741 2022/08/08 19:28:44 - mmengine - INFO - Epoch(train) [9][320/1879] lr: 2.0000e-02 eta: 13:46:43 time: 0.5652 data_time: 0.0215 memory: 13723 grad_norm: 3.8263 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8570 loss: 1.8570 2022/08/08 19:28:55 - mmengine - INFO - Epoch(train) [9][340/1879] lr: 2.0000e-02 eta: 13:46:25 time: 0.5728 data_time: 0.0309 memory: 13723 grad_norm: 3.8475 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8443 loss: 1.8443 2022/08/08 19:29:06 - mmengine - INFO - Epoch(train) [9][360/1879] lr: 2.0000e-02 eta: 13:46:05 time: 0.5674 data_time: 0.0271 memory: 13723 grad_norm: 3.8707 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6673 loss: 1.6673 2022/08/08 19:29:18 - mmengine - INFO - Epoch(train) [9][380/1879] lr: 2.0000e-02 eta: 13:45:46 time: 0.5669 data_time: 0.0233 memory: 13723 grad_norm: 3.9313 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1085 loss: 2.1085 2022/08/08 19:29:29 - mmengine - INFO - Epoch(train) [9][400/1879] lr: 2.0000e-02 eta: 13:45:27 time: 0.5671 data_time: 0.0271 memory: 13723 grad_norm: 3.8286 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9489 loss: 1.9489 2022/08/08 19:29:40 - mmengine - INFO - Epoch(train) [9][420/1879] lr: 2.0000e-02 eta: 13:45:08 time: 0.5700 data_time: 0.0257 memory: 13723 grad_norm: 3.9987 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9054 loss: 1.9054 2022/08/08 19:29:52 - mmengine - INFO - Epoch(train) [9][440/1879] lr: 2.0000e-02 eta: 13:44:50 time: 0.5704 data_time: 0.0251 memory: 13723 grad_norm: 3.8731 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8924 loss: 1.8924 2022/08/08 19:30:03 - mmengine - INFO - Epoch(train) [9][460/1879] lr: 2.0000e-02 eta: 13:44:31 time: 0.5726 data_time: 0.0259 memory: 13723 grad_norm: 3.9759 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8279 loss: 1.8279 2022/08/08 19:30:16 - mmengine - INFO - Epoch(train) [9][480/1879] lr: 2.0000e-02 eta: 13:44:18 time: 0.6238 data_time: 0.0263 memory: 13723 grad_norm: 3.8429 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0370 loss: 2.0370 2022/08/08 19:30:29 - mmengine - INFO - Epoch(train) [9][500/1879] lr: 2.0000e-02 eta: 13:44:09 time: 0.6704 data_time: 0.0256 memory: 13723 grad_norm: 3.9204 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0889 loss: 2.0889 2022/08/08 19:30:41 - mmengine - INFO - Epoch(train) [9][520/1879] lr: 2.0000e-02 eta: 13:43:51 time: 0.5753 data_time: 0.0226 memory: 13723 grad_norm: 3.7577 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8545 loss: 1.8545 2022/08/08 19:30:53 - mmengine - INFO - Epoch(train) [9][540/1879] lr: 2.0000e-02 eta: 13:43:36 time: 0.6095 data_time: 0.0253 memory: 13723 grad_norm: 3.8939 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8692 loss: 1.8692 2022/08/08 19:31:04 - mmengine - INFO - Epoch(train) [9][560/1879] lr: 2.0000e-02 eta: 13:43:18 time: 0.5717 data_time: 0.0258 memory: 13723 grad_norm: 3.8641 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9078 loss: 1.9078 2022/08/08 19:31:16 - mmengine - INFO - Epoch(train) [9][580/1879] lr: 2.0000e-02 eta: 13:43:00 time: 0.5736 data_time: 0.0272 memory: 13723 grad_norm: 3.8908 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8238 loss: 1.8238 2022/08/08 19:31:27 - mmengine - INFO - Epoch(train) [9][600/1879] lr: 2.0000e-02 eta: 13:42:41 time: 0.5704 data_time: 0.0248 memory: 13723 grad_norm: 3.8799 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8925 loss: 1.8925 2022/08/08 19:31:39 - mmengine - INFO - Epoch(train) [9][620/1879] lr: 2.0000e-02 eta: 13:42:22 time: 0.5672 data_time: 0.0280 memory: 13723 grad_norm: 3.7196 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9220 loss: 1.9220 2022/08/08 19:31:50 - mmengine - INFO - Epoch(train) [9][640/1879] lr: 2.0000e-02 eta: 13:42:04 time: 0.5729 data_time: 0.0252 memory: 13723 grad_norm: 3.9379 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1444 loss: 2.1444 2022/08/08 19:32:02 - mmengine - INFO - Epoch(train) [9][660/1879] lr: 2.0000e-02 eta: 13:41:45 time: 0.5717 data_time: 0.0255 memory: 13723 grad_norm: 3.7707 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.6375 loss: 1.6375 2022/08/08 19:32:13 - mmengine - INFO - Epoch(train) [9][680/1879] lr: 2.0000e-02 eta: 13:41:28 time: 0.5811 data_time: 0.0429 memory: 13723 grad_norm: 3.8029 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7048 loss: 1.7048 2022/08/08 19:32:24 - mmengine - INFO - Epoch(train) [9][700/1879] lr: 2.0000e-02 eta: 13:41:09 time: 0.5650 data_time: 0.0244 memory: 13723 grad_norm: 3.9430 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.1439 loss: 2.1439 2022/08/08 19:32:36 - mmengine - INFO - Epoch(train) [9][720/1879] lr: 2.0000e-02 eta: 13:40:50 time: 0.5726 data_time: 0.0258 memory: 13723 grad_norm: 3.9076 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8889 loss: 1.8889 2022/08/08 19:32:47 - mmengine - INFO - Epoch(train) [9][740/1879] lr: 2.0000e-02 eta: 13:40:32 time: 0.5736 data_time: 0.0253 memory: 13723 grad_norm: 3.9280 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7535 loss: 1.7535 2022/08/08 19:32:59 - mmengine - INFO - Epoch(train) [9][760/1879] lr: 2.0000e-02 eta: 13:40:14 time: 0.5704 data_time: 0.0236 memory: 13723 grad_norm: 3.8185 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7442 loss: 1.7442 2022/08/08 19:33:10 - mmengine - INFO - Epoch(train) [9][780/1879] lr: 2.0000e-02 eta: 13:39:56 time: 0.5815 data_time: 0.0279 memory: 13723 grad_norm: 4.0010 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9624 loss: 1.9624 2022/08/08 19:33:22 - mmengine - INFO - Epoch(train) [9][800/1879] lr: 2.0000e-02 eta: 13:39:39 time: 0.5777 data_time: 0.0259 memory: 13723 grad_norm: 3.8145 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9390 loss: 1.9390 2022/08/08 19:33:33 - mmengine - INFO - Epoch(train) [9][820/1879] lr: 2.0000e-02 eta: 13:39:20 time: 0.5639 data_time: 0.0239 memory: 13723 grad_norm: 3.8552 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8497 loss: 1.8497 2022/08/08 19:33:45 - mmengine - INFO - Epoch(train) [9][840/1879] lr: 2.0000e-02 eta: 13:39:01 time: 0.5663 data_time: 0.0271 memory: 13723 grad_norm: 3.8351 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8548 loss: 1.8548 2022/08/08 19:33:56 - mmengine - INFO - Epoch(train) [9][860/1879] lr: 2.0000e-02 eta: 13:38:43 time: 0.5741 data_time: 0.0256 memory: 13723 grad_norm: 3.9287 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7198 loss: 1.7198 2022/08/08 19:34:08 - mmengine - INFO - Epoch(train) [9][880/1879] lr: 2.0000e-02 eta: 13:38:26 time: 0.5836 data_time: 0.0226 memory: 13723 grad_norm: 3.8690 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9536 loss: 1.9536 2022/08/08 19:34:19 - mmengine - INFO - Epoch(train) [9][900/1879] lr: 2.0000e-02 eta: 13:38:07 time: 0.5667 data_time: 0.0245 memory: 13723 grad_norm: 3.7832 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0757 loss: 2.0757 2022/08/08 19:34:30 - mmengine - INFO - Epoch(train) [9][920/1879] lr: 2.0000e-02 eta: 13:37:48 time: 0.5637 data_time: 0.0258 memory: 13723 grad_norm: 3.8186 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1149 loss: 2.1149 2022/08/08 19:34:42 - mmengine - INFO - Epoch(train) [9][940/1879] lr: 2.0000e-02 eta: 13:37:29 time: 0.5677 data_time: 0.0246 memory: 13723 grad_norm: 3.8626 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8523 loss: 1.8523 2022/08/08 19:34:53 - mmengine - INFO - Epoch(train) [9][960/1879] lr: 2.0000e-02 eta: 13:37:11 time: 0.5674 data_time: 0.0254 memory: 13723 grad_norm: 3.8354 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8984 loss: 1.8984 2022/08/08 19:34:58 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 19:35:05 - mmengine - INFO - Epoch(train) [9][980/1879] lr: 2.0000e-02 eta: 13:36:53 time: 0.5728 data_time: 0.0245 memory: 13723 grad_norm: 3.9136 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8398 loss: 1.8398 2022/08/08 19:35:17 - mmengine - INFO - Epoch(train) [9][1000/1879] lr: 2.0000e-02 eta: 13:36:38 time: 0.6078 data_time: 0.0247 memory: 13723 grad_norm: 3.8335 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7573 loss: 1.7573 2022/08/08 19:35:29 - mmengine - INFO - Epoch(train) [9][1020/1879] lr: 2.0000e-02 eta: 13:36:22 time: 0.5920 data_time: 0.0403 memory: 13723 grad_norm: 3.7712 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7250 loss: 1.7250 2022/08/08 19:35:40 - mmengine - INFO - Epoch(train) [9][1040/1879] lr: 2.0000e-02 eta: 13:36:04 time: 0.5753 data_time: 0.0219 memory: 13723 grad_norm: 3.9020 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9025 loss: 1.9025 2022/08/08 19:35:52 - mmengine - INFO - Epoch(train) [9][1060/1879] lr: 2.0000e-02 eta: 13:35:48 time: 0.5917 data_time: 0.0258 memory: 13723 grad_norm: 3.8458 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8515 loss: 1.8515 2022/08/08 19:36:03 - mmengine - INFO - Epoch(train) [9][1080/1879] lr: 2.0000e-02 eta: 13:35:31 time: 0.5799 data_time: 0.0237 memory: 13723 grad_norm: 3.8078 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7511 loss: 1.7511 2022/08/08 19:36:15 - mmengine - INFO - Epoch(train) [9][1100/1879] lr: 2.0000e-02 eta: 13:35:13 time: 0.5784 data_time: 0.0228 memory: 13723 grad_norm: 3.8134 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8363 loss: 1.8363 2022/08/08 19:36:27 - mmengine - INFO - Epoch(train) [9][1120/1879] lr: 2.0000e-02 eta: 13:34:57 time: 0.5897 data_time: 0.0434 memory: 13723 grad_norm: 3.8100 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8819 loss: 1.8819 2022/08/08 19:36:38 - mmengine - INFO - Epoch(train) [9][1140/1879] lr: 2.0000e-02 eta: 13:34:39 time: 0.5707 data_time: 0.0251 memory: 13723 grad_norm: 3.8835 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7226 loss: 1.7226 2022/08/08 19:36:50 - mmengine - INFO - Epoch(train) [9][1160/1879] lr: 2.0000e-02 eta: 13:34:22 time: 0.5783 data_time: 0.0244 memory: 13723 grad_norm: 3.7832 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8551 loss: 1.8551 2022/08/08 19:37:01 - mmengine - INFO - Epoch(train) [9][1180/1879] lr: 2.0000e-02 eta: 13:34:03 time: 0.5655 data_time: 0.0239 memory: 13723 grad_norm: 3.8377 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7702 loss: 1.7702 2022/08/08 19:37:13 - mmengine - INFO - Epoch(train) [9][1200/1879] lr: 2.0000e-02 eta: 13:33:47 time: 0.5944 data_time: 0.0244 memory: 13723 grad_norm: 3.9172 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8157 loss: 1.8157 2022/08/08 19:37:24 - mmengine - INFO - Epoch(train) [9][1220/1879] lr: 2.0000e-02 eta: 13:33:28 time: 0.5597 data_time: 0.0241 memory: 13723 grad_norm: 3.8682 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8096 loss: 1.8096 2022/08/08 19:37:35 - mmengine - INFO - Epoch(train) [9][1240/1879] lr: 2.0000e-02 eta: 13:33:09 time: 0.5609 data_time: 0.0233 memory: 13723 grad_norm: 3.9417 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7528 loss: 1.7528 2022/08/08 19:37:47 - mmengine - INFO - Epoch(train) [9][1260/1879] lr: 2.0000e-02 eta: 13:32:52 time: 0.5793 data_time: 0.0226 memory: 13723 grad_norm: 3.9322 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9882 loss: 1.9882 2022/08/08 19:37:59 - mmengine - INFO - Epoch(train) [9][1280/1879] lr: 2.0000e-02 eta: 13:32:34 time: 0.5757 data_time: 0.0224 memory: 13723 grad_norm: 3.8373 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9871 loss: 1.9871 2022/08/08 19:38:12 - mmengine - INFO - Epoch(train) [9][1300/1879] lr: 2.0000e-02 eta: 13:32:25 time: 0.6625 data_time: 0.0240 memory: 13723 grad_norm: 3.8012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8241 loss: 1.8241 2022/08/08 19:38:23 - mmengine - INFO - Epoch(train) [9][1320/1879] lr: 2.0000e-02 eta: 13:32:08 time: 0.5759 data_time: 0.0228 memory: 13723 grad_norm: 3.8045 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7496 loss: 1.7496 2022/08/08 19:38:35 - mmengine - INFO - Epoch(train) [9][1340/1879] lr: 2.0000e-02 eta: 13:31:51 time: 0.5841 data_time: 0.0234 memory: 13723 grad_norm: 3.8350 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8340 loss: 1.8340 2022/08/08 19:38:47 - mmengine - INFO - Epoch(train) [9][1360/1879] lr: 2.0000e-02 eta: 13:31:34 time: 0.5849 data_time: 0.0255 memory: 13723 grad_norm: 3.9336 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7767 loss: 1.7767 2022/08/08 19:38:58 - mmengine - INFO - Epoch(train) [9][1380/1879] lr: 2.0000e-02 eta: 13:31:17 time: 0.5744 data_time: 0.0224 memory: 13723 grad_norm: 3.9664 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0929 loss: 2.0929 2022/08/08 19:39:10 - mmengine - INFO - Epoch(train) [9][1400/1879] lr: 2.0000e-02 eta: 13:30:59 time: 0.5784 data_time: 0.0253 memory: 13723 grad_norm: 3.8523 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9609 loss: 1.9609 2022/08/08 19:39:21 - mmengine - INFO - Epoch(train) [9][1420/1879] lr: 2.0000e-02 eta: 13:30:41 time: 0.5710 data_time: 0.0248 memory: 13723 grad_norm: 3.8206 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8170 loss: 1.8170 2022/08/08 19:39:33 - mmengine - INFO - Epoch(train) [9][1440/1879] lr: 2.0000e-02 eta: 13:30:24 time: 0.5708 data_time: 0.0265 memory: 13723 grad_norm: 3.9426 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0535 loss: 2.0535 2022/08/08 19:39:44 - mmengine - INFO - Epoch(train) [9][1460/1879] lr: 2.0000e-02 eta: 13:30:06 time: 0.5707 data_time: 0.0249 memory: 13723 grad_norm: 3.7901 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8578 loss: 1.8578 2022/08/08 19:39:55 - mmengine - INFO - Epoch(train) [9][1480/1879] lr: 2.0000e-02 eta: 13:29:48 time: 0.5699 data_time: 0.0293 memory: 13723 grad_norm: 3.8500 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0143 loss: 2.0143 2022/08/08 19:40:07 - mmengine - INFO - Epoch(train) [9][1500/1879] lr: 2.0000e-02 eta: 13:29:30 time: 0.5721 data_time: 0.0285 memory: 13723 grad_norm: 3.8141 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8577 loss: 1.8577 2022/08/08 19:40:19 - mmengine - INFO - Epoch(train) [9][1520/1879] lr: 2.0000e-02 eta: 13:29:15 time: 0.5968 data_time: 0.0256 memory: 13723 grad_norm: 3.7853 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0112 loss: 2.0112 2022/08/08 19:40:31 - mmengine - INFO - Epoch(train) [9][1540/1879] lr: 2.0000e-02 eta: 13:29:01 time: 0.6133 data_time: 0.0327 memory: 13723 grad_norm: 3.8409 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8211 loss: 1.8211 2022/08/08 19:40:43 - mmengine - INFO - Epoch(train) [9][1560/1879] lr: 2.0000e-02 eta: 13:28:46 time: 0.6064 data_time: 0.0387 memory: 13723 grad_norm: 3.8825 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8335 loss: 1.8335 2022/08/08 19:40:55 - mmengine - INFO - Epoch(train) [9][1580/1879] lr: 2.0000e-02 eta: 13:28:31 time: 0.5973 data_time: 0.0266 memory: 13723 grad_norm: 3.8271 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8773 loss: 1.8773 2022/08/08 19:41:07 - mmengine - INFO - Epoch(train) [9][1600/1879] lr: 2.0000e-02 eta: 13:28:14 time: 0.5850 data_time: 0.0234 memory: 13723 grad_norm: 3.6837 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9554 loss: 1.9554 2022/08/08 19:41:18 - mmengine - INFO - Epoch(train) [9][1620/1879] lr: 2.0000e-02 eta: 13:27:57 time: 0.5760 data_time: 0.0254 memory: 13723 grad_norm: 3.7512 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1101 loss: 2.1101 2022/08/08 19:41:30 - mmengine - INFO - Epoch(train) [9][1640/1879] lr: 2.0000e-02 eta: 13:27:40 time: 0.5749 data_time: 0.0253 memory: 13723 grad_norm: 3.8671 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9973 loss: 1.9973 2022/08/08 19:41:41 - mmengine - INFO - Epoch(train) [9][1660/1879] lr: 2.0000e-02 eta: 13:27:22 time: 0.5705 data_time: 0.0240 memory: 13723 grad_norm: 3.7410 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8945 loss: 1.8945 2022/08/08 19:41:53 - mmengine - INFO - Epoch(train) [9][1680/1879] lr: 2.0000e-02 eta: 13:27:04 time: 0.5659 data_time: 0.0261 memory: 13723 grad_norm: 3.8281 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9073 loss: 1.9073 2022/08/08 19:42:04 - mmengine - INFO - Epoch(train) [9][1700/1879] lr: 2.0000e-02 eta: 13:26:46 time: 0.5685 data_time: 0.0262 memory: 13723 grad_norm: 3.9624 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7571 loss: 1.7571 2022/08/08 19:42:15 - mmengine - INFO - Epoch(train) [9][1720/1879] lr: 2.0000e-02 eta: 13:26:28 time: 0.5681 data_time: 0.0228 memory: 13723 grad_norm: 3.7672 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9350 loss: 1.9350 2022/08/08 19:42:27 - mmengine - INFO - Epoch(train) [9][1740/1879] lr: 2.0000e-02 eta: 13:26:10 time: 0.5689 data_time: 0.0279 memory: 13723 grad_norm: 3.8092 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6836 loss: 1.6836 2022/08/08 19:42:38 - mmengine - INFO - Epoch(train) [9][1760/1879] lr: 2.0000e-02 eta: 13:25:52 time: 0.5693 data_time: 0.0272 memory: 13723 grad_norm: 3.8010 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8450 loss: 1.8450 2022/08/08 19:42:50 - mmengine - INFO - Epoch(train) [9][1780/1879] lr: 2.0000e-02 eta: 13:25:36 time: 0.5849 data_time: 0.0475 memory: 13723 grad_norm: 3.8481 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9879 loss: 1.9879 2022/08/08 19:43:01 - mmengine - INFO - Epoch(train) [9][1800/1879] lr: 2.0000e-02 eta: 13:25:18 time: 0.5710 data_time: 0.0285 memory: 13723 grad_norm: 3.8817 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7905 loss: 1.7905 2022/08/08 19:43:13 - mmengine - INFO - Epoch(train) [9][1820/1879] lr: 2.0000e-02 eta: 13:25:00 time: 0.5698 data_time: 0.0254 memory: 13723 grad_norm: 3.8668 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9173 loss: 1.9173 2022/08/08 19:43:24 - mmengine - INFO - Epoch(train) [9][1840/1879] lr: 2.0000e-02 eta: 13:24:42 time: 0.5664 data_time: 0.0273 memory: 13723 grad_norm: 3.8305 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.8386 loss: 1.8386 2022/08/08 19:43:35 - mmengine - INFO - Epoch(train) [9][1860/1879] lr: 2.0000e-02 eta: 13:24:24 time: 0.5654 data_time: 0.0244 memory: 13723 grad_norm: 3.7828 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6639 loss: 1.6639 2022/08/08 19:43:46 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 19:43:46 - mmengine - INFO - Epoch(train) [9][1879/1879] lr: 2.0000e-02 eta: 13:24:24 time: 0.5382 data_time: 0.0179 memory: 13723 grad_norm: 3.9051 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.0265 loss: 2.0265 2022/08/08 19:43:46 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/08/08 19:44:01 - mmengine - INFO - Epoch(val) [9][20/155] eta: 0:01:31 time: 0.6797 data_time: 0.5392 memory: 1829 2022/08/08 19:44:09 - mmengine - INFO - Epoch(val) [9][40/155] eta: 0:00:49 time: 0.4306 data_time: 0.2919 memory: 1829 2022/08/08 19:44:21 - mmengine - INFO - Epoch(val) [9][60/155] eta: 0:00:58 time: 0.6150 data_time: 0.4763 memory: 1829 2022/08/08 19:44:31 - mmengine - INFO - Epoch(val) [9][80/155] eta: 0:00:34 time: 0.4580 data_time: 0.3171 memory: 1829 2022/08/08 19:44:43 - mmengine - INFO - Epoch(val) [9][100/155] eta: 0:00:34 time: 0.6356 data_time: 0.4935 memory: 1829 2022/08/08 19:44:52 - mmengine - INFO - Epoch(val) [9][120/155] eta: 0:00:15 time: 0.4435 data_time: 0.3035 memory: 1829 2022/08/08 19:45:06 - mmengine - INFO - Epoch(val) [9][140/155] eta: 0:00:10 time: 0.6845 data_time: 0.5459 memory: 1829 2022/08/08 19:45:14 - mmengine - INFO - Epoch(val) [9][155/155] acc/top1: 0.5570 acc/top5: 0.8058 acc/mean1: 0.5567 2022/08/08 19:45:14 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_9.pth is removed 2022/08/08 19:45:15 - mmengine - INFO - The best checkpoint with 0.5570 acc/top1 at 10 epoch is saved to best_acc/top1_epoch_10.pth. 2022/08/08 19:45:31 - mmengine - INFO - Epoch(train) [10][20/1879] lr: 2.0000e-02 eta: 13:23:19 time: 0.7684 data_time: 0.2235 memory: 13723 grad_norm: 3.7457 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8593 loss: 1.8593 2022/08/08 19:45:43 - mmengine - INFO - Epoch(train) [10][40/1879] lr: 2.0000e-02 eta: 13:23:05 time: 0.6072 data_time: 0.0451 memory: 13723 grad_norm: 3.8094 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7935 loss: 1.7935 2022/08/08 19:45:54 - mmengine - INFO - Epoch(train) [10][60/1879] lr: 2.0000e-02 eta: 13:22:48 time: 0.5833 data_time: 0.0287 memory: 13723 grad_norm: 3.9613 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8023 loss: 1.8023 2022/08/08 19:46:06 - mmengine - INFO - Epoch(train) [10][80/1879] lr: 2.0000e-02 eta: 13:22:31 time: 0.5712 data_time: 0.0212 memory: 13723 grad_norm: 3.8052 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7408 loss: 1.7408 2022/08/08 19:46:11 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 19:46:18 - mmengine - INFO - Epoch(train) [10][100/1879] lr: 2.0000e-02 eta: 13:22:18 time: 0.6236 data_time: 0.0798 memory: 13723 grad_norm: 3.8776 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7846 loss: 1.7846 2022/08/08 19:46:30 - mmengine - INFO - Epoch(train) [10][120/1879] lr: 2.0000e-02 eta: 13:22:00 time: 0.5641 data_time: 0.0192 memory: 13723 grad_norm: 3.7081 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6346 loss: 1.6346 2022/08/08 19:46:41 - mmengine - INFO - Epoch(train) [10][140/1879] lr: 2.0000e-02 eta: 13:21:42 time: 0.5656 data_time: 0.0265 memory: 13723 grad_norm: 3.7956 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7776 loss: 1.7776 2022/08/08 19:46:52 - mmengine - INFO - Epoch(train) [10][160/1879] lr: 2.0000e-02 eta: 13:21:24 time: 0.5683 data_time: 0.0228 memory: 13723 grad_norm: 3.9255 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8309 loss: 1.8309 2022/08/08 19:47:04 - mmengine - INFO - Epoch(train) [10][180/1879] lr: 2.0000e-02 eta: 13:21:06 time: 0.5630 data_time: 0.0245 memory: 13723 grad_norm: 3.9236 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8832 loss: 1.8832 2022/08/08 19:47:15 - mmengine - INFO - Epoch(train) [10][200/1879] lr: 2.0000e-02 eta: 13:20:49 time: 0.5751 data_time: 0.0266 memory: 13723 grad_norm: 3.7558 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6620 loss: 1.6620 2022/08/08 19:47:26 - mmengine - INFO - Epoch(train) [10][220/1879] lr: 2.0000e-02 eta: 13:20:31 time: 0.5628 data_time: 0.0287 memory: 13723 grad_norm: 3.7007 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9174 loss: 1.9174 2022/08/08 19:47:38 - mmengine - INFO - Epoch(train) [10][240/1879] lr: 2.0000e-02 eta: 13:20:14 time: 0.5699 data_time: 0.0239 memory: 13723 grad_norm: 3.7725 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9649 loss: 1.9649 2022/08/08 19:47:49 - mmengine - INFO - Epoch(train) [10][260/1879] lr: 2.0000e-02 eta: 13:19:56 time: 0.5731 data_time: 0.0266 memory: 13723 grad_norm: 3.9051 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7305 loss: 1.7305 2022/08/08 19:48:01 - mmengine - INFO - Epoch(train) [10][280/1879] lr: 2.0000e-02 eta: 13:19:39 time: 0.5693 data_time: 0.0298 memory: 13723 grad_norm: 3.7451 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6639 loss: 1.6639 2022/08/08 19:48:12 - mmengine - INFO - Epoch(train) [10][300/1879] lr: 2.0000e-02 eta: 13:19:21 time: 0.5673 data_time: 0.0252 memory: 13723 grad_norm: 3.7439 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8208 loss: 1.8208 2022/08/08 19:48:24 - mmengine - INFO - Epoch(train) [10][320/1879] lr: 2.0000e-02 eta: 13:19:04 time: 0.5750 data_time: 0.0264 memory: 13723 grad_norm: 3.7740 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8150 loss: 1.8150 2022/08/08 19:48:35 - mmengine - INFO - Epoch(train) [10][340/1879] lr: 2.0000e-02 eta: 13:18:48 time: 0.5800 data_time: 0.0284 memory: 13723 grad_norm: 3.8992 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9927 loss: 1.9927 2022/08/08 19:48:47 - mmengine - INFO - Epoch(train) [10][360/1879] lr: 2.0000e-02 eta: 13:18:31 time: 0.5800 data_time: 0.0213 memory: 13723 grad_norm: 3.8772 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7020 loss: 1.7020 2022/08/08 19:48:58 - mmengine - INFO - Epoch(train) [10][380/1879] lr: 2.0000e-02 eta: 13:18:15 time: 0.5787 data_time: 0.0298 memory: 13723 grad_norm: 3.8428 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0375 loss: 2.0375 2022/08/08 19:49:10 - mmengine - INFO - Epoch(train) [10][400/1879] lr: 2.0000e-02 eta: 13:17:58 time: 0.5819 data_time: 0.0268 memory: 13723 grad_norm: 3.8451 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7539 loss: 1.7539 2022/08/08 19:49:22 - mmengine - INFO - Epoch(train) [10][420/1879] lr: 2.0000e-02 eta: 13:17:44 time: 0.5967 data_time: 0.0308 memory: 13723 grad_norm: 3.7716 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8357 loss: 1.8357 2022/08/08 19:49:33 - mmengine - INFO - Epoch(train) [10][440/1879] lr: 2.0000e-02 eta: 13:17:27 time: 0.5748 data_time: 0.0202 memory: 13723 grad_norm: 3.8221 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8578 loss: 1.8578 2022/08/08 19:49:45 - mmengine - INFO - Epoch(train) [10][460/1879] lr: 2.0000e-02 eta: 13:17:09 time: 0.5670 data_time: 0.0257 memory: 13723 grad_norm: 3.8781 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7116 loss: 1.7116 2022/08/08 19:49:56 - mmengine - INFO - Epoch(train) [10][480/1879] lr: 2.0000e-02 eta: 13:16:52 time: 0.5697 data_time: 0.0246 memory: 13723 grad_norm: 3.7921 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7520 loss: 1.7520 2022/08/08 19:50:09 - mmengine - INFO - Epoch(train) [10][500/1879] lr: 2.0000e-02 eta: 13:16:39 time: 0.6207 data_time: 0.0246 memory: 13723 grad_norm: 3.8769 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1311 loss: 2.1311 2022/08/08 19:50:21 - mmengine - INFO - Epoch(train) [10][520/1879] lr: 2.0000e-02 eta: 13:16:26 time: 0.6156 data_time: 0.0275 memory: 13723 grad_norm: 3.9208 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6754 loss: 1.6754 2022/08/08 19:50:34 - mmengine - INFO - Epoch(train) [10][540/1879] lr: 2.0000e-02 eta: 13:16:16 time: 0.6554 data_time: 0.0362 memory: 13723 grad_norm: 3.8240 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8753 loss: 1.8753 2022/08/08 19:50:46 - mmengine - INFO - Epoch(train) [10][560/1879] lr: 2.0000e-02 eta: 13:16:00 time: 0.5874 data_time: 0.0245 memory: 13723 grad_norm: 3.6703 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7772 loss: 1.7772 2022/08/08 19:50:57 - mmengine - INFO - Epoch(train) [10][580/1879] lr: 2.0000e-02 eta: 13:15:44 time: 0.5880 data_time: 0.0273 memory: 13723 grad_norm: 3.8620 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0468 loss: 2.0468 2022/08/08 19:51:09 - mmengine - INFO - Epoch(train) [10][600/1879] lr: 2.0000e-02 eta: 13:15:28 time: 0.5811 data_time: 0.0226 memory: 13723 grad_norm: 3.7832 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7435 loss: 1.7435 2022/08/08 19:51:21 - mmengine - INFO - Epoch(train) [10][620/1879] lr: 2.0000e-02 eta: 13:15:11 time: 0.5727 data_time: 0.0252 memory: 13723 grad_norm: 3.9558 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6393 loss: 1.6393 2022/08/08 19:51:32 - mmengine - INFO - Epoch(train) [10][640/1879] lr: 2.0000e-02 eta: 13:14:55 time: 0.5784 data_time: 0.0226 memory: 13723 grad_norm: 3.8349 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7392 loss: 1.7392 2022/08/08 19:51:44 - mmengine - INFO - Epoch(train) [10][660/1879] lr: 2.0000e-02 eta: 13:14:39 time: 0.5839 data_time: 0.0262 memory: 13723 grad_norm: 3.9546 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8999 loss: 1.8999 2022/08/08 19:51:55 - mmengine - INFO - Epoch(train) [10][680/1879] lr: 2.0000e-02 eta: 13:14:22 time: 0.5750 data_time: 0.0261 memory: 13723 grad_norm: 3.7642 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6556 loss: 1.6556 2022/08/08 19:52:07 - mmengine - INFO - Epoch(train) [10][700/1879] lr: 2.0000e-02 eta: 13:14:06 time: 0.5809 data_time: 0.0245 memory: 13723 grad_norm: 3.9071 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9013 loss: 1.9013 2022/08/08 19:52:18 - mmengine - INFO - Epoch(train) [10][720/1879] lr: 2.0000e-02 eta: 13:13:48 time: 0.5679 data_time: 0.0260 memory: 13723 grad_norm: 3.8948 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6357 loss: 1.6357 2022/08/08 19:52:30 - mmengine - INFO - Epoch(train) [10][740/1879] lr: 2.0000e-02 eta: 13:13:31 time: 0.5632 data_time: 0.0233 memory: 13723 grad_norm: 3.9034 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.9742 loss: 1.9742 2022/08/08 19:52:42 - mmengine - INFO - Epoch(train) [10][760/1879] lr: 2.0000e-02 eta: 13:13:18 time: 0.6201 data_time: 0.0256 memory: 13723 grad_norm: 3.7759 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9866 loss: 1.9866 2022/08/08 19:52:53 - mmengine - INFO - Epoch(train) [10][780/1879] lr: 2.0000e-02 eta: 13:13:01 time: 0.5725 data_time: 0.0239 memory: 13723 grad_norm: 3.8104 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9974 loss: 1.9974 2022/08/08 19:53:05 - mmengine - INFO - Epoch(train) [10][800/1879] lr: 2.0000e-02 eta: 13:12:44 time: 0.5742 data_time: 0.0246 memory: 13723 grad_norm: 3.7671 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8109 loss: 1.8109 2022/08/08 19:53:16 - mmengine - INFO - Epoch(train) [10][820/1879] lr: 2.0000e-02 eta: 13:12:27 time: 0.5697 data_time: 0.0244 memory: 13723 grad_norm: 3.8090 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9800 loss: 1.9800 2022/08/08 19:53:28 - mmengine - INFO - Epoch(train) [10][840/1879] lr: 2.0000e-02 eta: 13:12:10 time: 0.5685 data_time: 0.0255 memory: 13723 grad_norm: 3.8044 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7583 loss: 1.7583 2022/08/08 19:53:39 - mmengine - INFO - Epoch(train) [10][860/1879] lr: 2.0000e-02 eta: 13:11:53 time: 0.5730 data_time: 0.0247 memory: 13723 grad_norm: 3.8783 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9437 loss: 1.9437 2022/08/08 19:53:51 - mmengine - INFO - Epoch(train) [10][880/1879] lr: 2.0000e-02 eta: 13:11:36 time: 0.5739 data_time: 0.0269 memory: 13723 grad_norm: 3.8501 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7947 loss: 1.7947 2022/08/08 19:54:02 - mmengine - INFO - Epoch(train) [10][900/1879] lr: 2.0000e-02 eta: 13:11:20 time: 0.5784 data_time: 0.0250 memory: 13723 grad_norm: 3.8532 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7423 loss: 1.7423 2022/08/08 19:54:14 - mmengine - INFO - Epoch(train) [10][920/1879] lr: 2.0000e-02 eta: 13:11:04 time: 0.5815 data_time: 0.0285 memory: 13723 grad_norm: 3.8211 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8722 loss: 1.8722 2022/08/08 19:54:25 - mmengine - INFO - Epoch(train) [10][940/1879] lr: 2.0000e-02 eta: 13:10:46 time: 0.5653 data_time: 0.0256 memory: 13723 grad_norm: 3.6909 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8627 loss: 1.8627 2022/08/08 19:54:36 - mmengine - INFO - Epoch(train) [10][960/1879] lr: 2.0000e-02 eta: 13:10:29 time: 0.5652 data_time: 0.0253 memory: 13723 grad_norm: 3.7801 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9039 loss: 1.9039 2022/08/08 19:54:48 - mmengine - INFO - Epoch(train) [10][980/1879] lr: 2.0000e-02 eta: 13:10:11 time: 0.5640 data_time: 0.0293 memory: 13723 grad_norm: 3.8951 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7948 loss: 1.7948 2022/08/08 19:54:59 - mmengine - INFO - Epoch(train) [10][1000/1879] lr: 2.0000e-02 eta: 13:09:54 time: 0.5609 data_time: 0.0248 memory: 13723 grad_norm: 3.8307 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.8946 loss: 1.8946 2022/08/08 19:55:10 - mmengine - INFO - Epoch(train) [10][1020/1879] lr: 2.0000e-02 eta: 13:09:36 time: 0.5635 data_time: 0.0287 memory: 13723 grad_norm: 3.7457 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9005 loss: 1.9005 2022/08/08 19:55:22 - mmengine - INFO - Epoch(train) [10][1040/1879] lr: 2.0000e-02 eta: 13:09:19 time: 0.5740 data_time: 0.0284 memory: 13723 grad_norm: 3.7234 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9226 loss: 1.9226 2022/08/08 19:55:33 - mmengine - INFO - Epoch(train) [10][1060/1879] lr: 2.0000e-02 eta: 13:09:03 time: 0.5823 data_time: 0.0283 memory: 13723 grad_norm: 3.8216 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 1.8495 loss: 1.8495 2022/08/08 19:55:45 - mmengine - INFO - Epoch(train) [10][1080/1879] lr: 2.0000e-02 eta: 13:08:48 time: 0.5867 data_time: 0.0249 memory: 13723 grad_norm: 3.9343 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8542 loss: 1.8542 2022/08/08 19:55:50 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 19:55:57 - mmengine - INFO - Epoch(train) [10][1100/1879] lr: 2.0000e-02 eta: 13:08:32 time: 0.5841 data_time: 0.0259 memory: 13723 grad_norm: 3.7386 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9577 loss: 1.9577 2022/08/08 19:56:08 - mmengine - INFO - Epoch(train) [10][1120/1879] lr: 2.0000e-02 eta: 13:08:16 time: 0.5816 data_time: 0.0255 memory: 13723 grad_norm: 3.7614 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7438 loss: 1.7438 2022/08/08 19:56:20 - mmengine - INFO - Epoch(train) [10][1140/1879] lr: 2.0000e-02 eta: 13:07:59 time: 0.5703 data_time: 0.0253 memory: 13723 grad_norm: 3.7906 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8602 loss: 1.8602 2022/08/08 19:56:31 - mmengine - INFO - Epoch(train) [10][1160/1879] lr: 2.0000e-02 eta: 13:07:43 time: 0.5750 data_time: 0.0232 memory: 13723 grad_norm: 3.7258 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8511 loss: 1.8511 2022/08/08 19:56:43 - mmengine - INFO - Epoch(train) [10][1180/1879] lr: 2.0000e-02 eta: 13:07:26 time: 0.5744 data_time: 0.0254 memory: 13723 grad_norm: 3.7989 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7503 loss: 1.7503 2022/08/08 19:56:54 - mmengine - INFO - Epoch(train) [10][1200/1879] lr: 2.0000e-02 eta: 13:07:09 time: 0.5636 data_time: 0.0249 memory: 13723 grad_norm: 3.8618 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7978 loss: 1.7978 2022/08/08 19:57:05 - mmengine - INFO - Epoch(train) [10][1220/1879] lr: 2.0000e-02 eta: 13:06:52 time: 0.5637 data_time: 0.0258 memory: 13723 grad_norm: 3.8436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7490 loss: 1.7490 2022/08/08 19:57:17 - mmengine - INFO - Epoch(train) [10][1240/1879] lr: 2.0000e-02 eta: 13:06:34 time: 0.5647 data_time: 0.0258 memory: 13723 grad_norm: 3.9144 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9768 loss: 1.9768 2022/08/08 19:57:28 - mmengine - INFO - Epoch(train) [10][1260/1879] lr: 2.0000e-02 eta: 13:06:18 time: 0.5785 data_time: 0.0230 memory: 13723 grad_norm: 3.7794 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9195 loss: 1.9195 2022/08/08 19:57:40 - mmengine - INFO - Epoch(train) [10][1280/1879] lr: 2.0000e-02 eta: 13:06:01 time: 0.5658 data_time: 0.0250 memory: 13723 grad_norm: 3.8031 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.5566 loss: 1.5566 2022/08/08 19:57:51 - mmengine - INFO - Epoch(train) [10][1300/1879] lr: 2.0000e-02 eta: 13:05:43 time: 0.5589 data_time: 0.0249 memory: 13723 grad_norm: 3.8527 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8966 loss: 1.8966 2022/08/08 19:58:02 - mmengine - INFO - Epoch(train) [10][1320/1879] lr: 2.0000e-02 eta: 13:05:26 time: 0.5658 data_time: 0.0272 memory: 13723 grad_norm: 3.7586 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7001 loss: 1.7001 2022/08/08 19:58:13 - mmengine - INFO - Epoch(train) [10][1340/1879] lr: 2.0000e-02 eta: 13:05:09 time: 0.5684 data_time: 0.0264 memory: 13723 grad_norm: 3.7991 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7196 loss: 1.7196 2022/08/08 19:58:25 - mmengine - INFO - Epoch(train) [10][1360/1879] lr: 2.0000e-02 eta: 13:04:52 time: 0.5655 data_time: 0.0251 memory: 13723 grad_norm: 3.7971 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9318 loss: 1.9318 2022/08/08 19:58:36 - mmengine - INFO - Epoch(train) [10][1380/1879] lr: 2.0000e-02 eta: 13:04:35 time: 0.5717 data_time: 0.0247 memory: 13723 grad_norm: 3.7924 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9487 loss: 1.9487 2022/08/08 19:58:48 - mmengine - INFO - Epoch(train) [10][1400/1879] lr: 2.0000e-02 eta: 13:04:19 time: 0.5729 data_time: 0.0253 memory: 13723 grad_norm: 3.6937 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6603 loss: 1.6603 2022/08/08 19:58:59 - mmengine - INFO - Epoch(train) [10][1420/1879] lr: 2.0000e-02 eta: 13:04:02 time: 0.5713 data_time: 0.0240 memory: 13723 grad_norm: 3.7810 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9531 loss: 1.9531 2022/08/08 19:59:10 - mmengine - INFO - Epoch(train) [10][1440/1879] lr: 2.0000e-02 eta: 13:03:45 time: 0.5689 data_time: 0.0247 memory: 13723 grad_norm: 3.8734 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9951 loss: 1.9951 2022/08/08 19:59:22 - mmengine - INFO - Epoch(train) [10][1460/1879] lr: 2.0000e-02 eta: 13:03:28 time: 0.5667 data_time: 0.0248 memory: 13723 grad_norm: 3.8820 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8719 loss: 1.8719 2022/08/08 19:59:34 - mmengine - INFO - Epoch(train) [10][1480/1879] lr: 2.0000e-02 eta: 13:03:13 time: 0.5890 data_time: 0.0253 memory: 13723 grad_norm: 3.8650 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6754 loss: 1.6754 2022/08/08 19:59:45 - mmengine - INFO - Epoch(train) [10][1500/1879] lr: 2.0000e-02 eta: 13:02:56 time: 0.5616 data_time: 0.0243 memory: 13723 grad_norm: 3.8060 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7268 loss: 1.7268 2022/08/08 19:59:56 - mmengine - INFO - Epoch(train) [10][1520/1879] lr: 2.0000e-02 eta: 13:02:40 time: 0.5775 data_time: 0.0282 memory: 13723 grad_norm: 3.8810 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1443 loss: 2.1443 2022/08/08 20:00:08 - mmengine - INFO - Epoch(train) [10][1540/1879] lr: 2.0000e-02 eta: 13:02:22 time: 0.5629 data_time: 0.0248 memory: 13723 grad_norm: 3.8417 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7182 loss: 1.7182 2022/08/08 20:00:20 - mmengine - INFO - Epoch(train) [10][1560/1879] lr: 2.0000e-02 eta: 13:02:11 time: 0.6331 data_time: 0.0259 memory: 13723 grad_norm: 3.8356 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8955 loss: 1.8955 2022/08/08 20:00:33 - mmengine - INFO - Epoch(train) [10][1580/1879] lr: 2.0000e-02 eta: 13:01:58 time: 0.6188 data_time: 0.0289 memory: 13723 grad_norm: 3.8169 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7843 loss: 1.7843 2022/08/08 20:00:44 - mmengine - INFO - Epoch(train) [10][1600/1879] lr: 2.0000e-02 eta: 13:01:43 time: 0.5910 data_time: 0.0287 memory: 13723 grad_norm: 3.7190 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8443 loss: 1.8443 2022/08/08 20:00:56 - mmengine - INFO - Epoch(train) [10][1620/1879] lr: 2.0000e-02 eta: 13:01:28 time: 0.5864 data_time: 0.0268 memory: 13723 grad_norm: 3.7806 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8384 loss: 1.8384 2022/08/08 20:01:08 - mmengine - INFO - Epoch(train) [10][1640/1879] lr: 2.0000e-02 eta: 13:01:13 time: 0.5870 data_time: 0.0268 memory: 13723 grad_norm: 3.8060 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8453 loss: 1.8453 2022/08/08 20:01:19 - mmengine - INFO - Epoch(train) [10][1660/1879] lr: 2.0000e-02 eta: 13:00:57 time: 0.5762 data_time: 0.0255 memory: 13723 grad_norm: 3.7769 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0451 loss: 2.0451 2022/08/08 20:01:31 - mmengine - INFO - Epoch(train) [10][1680/1879] lr: 2.0000e-02 eta: 13:00:41 time: 0.5772 data_time: 0.0236 memory: 13723 grad_norm: 3.8357 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6679 loss: 1.6679 2022/08/08 20:01:43 - mmengine - INFO - Epoch(train) [10][1700/1879] lr: 2.0000e-02 eta: 13:00:24 time: 0.5751 data_time: 0.0225 memory: 13723 grad_norm: 3.8641 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8668 loss: 1.8668 2022/08/08 20:01:54 - mmengine - INFO - Epoch(train) [10][1720/1879] lr: 2.0000e-02 eta: 13:00:08 time: 0.5691 data_time: 0.0254 memory: 13723 grad_norm: 3.8094 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9405 loss: 1.9405 2022/08/08 20:02:05 - mmengine - INFO - Epoch(train) [10][1740/1879] lr: 2.0000e-02 eta: 12:59:51 time: 0.5714 data_time: 0.0263 memory: 13723 grad_norm: 3.7771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9680 loss: 1.9680 2022/08/08 20:02:17 - mmengine - INFO - Epoch(train) [10][1760/1879] lr: 2.0000e-02 eta: 12:59:35 time: 0.5700 data_time: 0.0255 memory: 13723 grad_norm: 3.8132 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6961 loss: 1.6961 2022/08/08 20:02:28 - mmengine - INFO - Epoch(train) [10][1780/1879] lr: 2.0000e-02 eta: 12:59:18 time: 0.5727 data_time: 0.0248 memory: 13723 grad_norm: 3.7688 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8118 loss: 1.8118 2022/08/08 20:02:40 - mmengine - INFO - Epoch(train) [10][1800/1879] lr: 2.0000e-02 eta: 12:59:02 time: 0.5685 data_time: 0.0264 memory: 13723 grad_norm: 3.7899 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5777 loss: 1.5777 2022/08/08 20:02:51 - mmengine - INFO - Epoch(train) [10][1820/1879] lr: 2.0000e-02 eta: 12:58:45 time: 0.5654 data_time: 0.0246 memory: 13723 grad_norm: 3.8618 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8953 loss: 1.8953 2022/08/08 20:03:02 - mmengine - INFO - Epoch(train) [10][1840/1879] lr: 2.0000e-02 eta: 12:58:28 time: 0.5659 data_time: 0.0254 memory: 13723 grad_norm: 3.8094 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9903 loss: 1.9903 2022/08/08 20:03:14 - mmengine - INFO - Epoch(train) [10][1860/1879] lr: 2.0000e-02 eta: 12:58:11 time: 0.5688 data_time: 0.0228 memory: 13723 grad_norm: 3.7915 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7872 loss: 1.7872 2022/08/08 20:03:24 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 20:03:24 - mmengine - INFO - Epoch(train) [10][1879/1879] lr: 2.0000e-02 eta: 12:58:11 time: 0.5566 data_time: 0.0408 memory: 13723 grad_norm: 3.8250 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.8737 loss: 1.8737 2022/08/08 20:03:37 - mmengine - INFO - Epoch(val) [10][20/155] eta: 0:01:25 time: 0.6305 data_time: 0.4905 memory: 1829 2022/08/08 20:03:46 - mmengine - INFO - Epoch(val) [10][40/155] eta: 0:00:54 time: 0.4780 data_time: 0.3394 memory: 1829 2022/08/08 20:03:57 - mmengine - INFO - Epoch(val) [10][60/155] eta: 0:00:48 time: 0.5061 data_time: 0.3670 memory: 1829 2022/08/08 20:04:05 - mmengine - INFO - Epoch(val) [10][80/155] eta: 0:00:32 time: 0.4360 data_time: 0.2953 memory: 1829 2022/08/08 20:04:16 - mmengine - INFO - Epoch(val) [10][100/155] eta: 0:00:29 time: 0.5303 data_time: 0.3915 memory: 1829 2022/08/08 20:04:27 - mmengine - INFO - Epoch(val) [10][120/155] eta: 0:00:19 time: 0.5565 data_time: 0.4161 memory: 1829 2022/08/08 20:04:38 - mmengine - INFO - Epoch(val) [10][140/155] eta: 0:00:07 time: 0.5299 data_time: 0.3908 memory: 1829 2022/08/08 20:04:54 - mmengine - INFO - Epoch(val) [10][155/155] acc/top1: 0.5755 acc/top5: 0.8165 acc/mean1: 0.5752 2022/08/08 20:04:54 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_10.pth is removed 2022/08/08 20:04:56 - mmengine - INFO - The best checkpoint with 0.5755 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2022/08/08 20:05:17 - mmengine - INFO - Epoch(train) [11][20/1879] lr: 2.0000e-02 eta: 12:57:35 time: 1.0549 data_time: 0.5024 memory: 13723 grad_norm: 3.7776 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8713 loss: 1.8713 2022/08/08 20:05:29 - mmengine - INFO - Epoch(train) [11][40/1879] lr: 2.0000e-02 eta: 12:57:21 time: 0.6082 data_time: 0.0242 memory: 13723 grad_norm: 3.7261 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7965 loss: 1.7965 2022/08/08 20:05:40 - mmengine - INFO - Epoch(train) [11][60/1879] lr: 2.0000e-02 eta: 12:57:05 time: 0.5703 data_time: 0.0261 memory: 13723 grad_norm: 3.7359 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7456 loss: 1.7456 2022/08/08 20:05:52 - mmengine - INFO - Epoch(train) [11][80/1879] lr: 2.0000e-02 eta: 12:56:50 time: 0.5892 data_time: 0.0471 memory: 13723 grad_norm: 3.9087 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 2.0298 loss: 2.0298 2022/08/08 20:06:04 - mmengine - INFO - Epoch(train) [11][100/1879] lr: 2.0000e-02 eta: 12:56:33 time: 0.5708 data_time: 0.0270 memory: 13723 grad_norm: 3.8118 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7673 loss: 1.7673 2022/08/08 20:06:15 - mmengine - INFO - Epoch(train) [11][120/1879] lr: 2.0000e-02 eta: 12:56:17 time: 0.5719 data_time: 0.0244 memory: 13723 grad_norm: 3.8433 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6995 loss: 1.6995 2022/08/08 20:06:27 - mmengine - INFO - Epoch(train) [11][140/1879] lr: 2.0000e-02 eta: 12:56:01 time: 0.5787 data_time: 0.0266 memory: 13723 grad_norm: 3.7799 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8601 loss: 1.8601 2022/08/08 20:06:38 - mmengine - INFO - Epoch(train) [11][160/1879] lr: 2.0000e-02 eta: 12:55:46 time: 0.5768 data_time: 0.0244 memory: 13723 grad_norm: 3.7184 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7470 loss: 1.7470 2022/08/08 20:06:50 - mmengine - INFO - Epoch(train) [11][180/1879] lr: 2.0000e-02 eta: 12:55:29 time: 0.5679 data_time: 0.0260 memory: 13723 grad_norm: 3.7961 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7952 loss: 1.7952 2022/08/08 20:07:01 - mmengine - INFO - Epoch(train) [11][200/1879] lr: 2.0000e-02 eta: 12:55:12 time: 0.5665 data_time: 0.0256 memory: 13723 grad_norm: 3.8458 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0044 loss: 2.0044 2022/08/08 20:07:07 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 20:07:12 - mmengine - INFO - Epoch(train) [11][220/1879] lr: 2.0000e-02 eta: 12:54:56 time: 0.5718 data_time: 0.0285 memory: 13723 grad_norm: 3.7704 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.8474 loss: 1.8474 2022/08/08 20:07:24 - mmengine - INFO - Epoch(train) [11][240/1879] lr: 2.0000e-02 eta: 12:54:40 time: 0.5710 data_time: 0.0258 memory: 13723 grad_norm: 3.7419 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8134 loss: 1.8134 2022/08/08 20:07:35 - mmengine - INFO - Epoch(train) [11][260/1879] lr: 2.0000e-02 eta: 12:54:24 time: 0.5803 data_time: 0.0268 memory: 13723 grad_norm: 3.6753 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8910 loss: 1.8910 2022/08/08 20:07:47 - mmengine - INFO - Epoch(train) [11][280/1879] lr: 2.0000e-02 eta: 12:54:08 time: 0.5726 data_time: 0.0289 memory: 13723 grad_norm: 3.9046 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8283 loss: 1.8283 2022/08/08 20:07:58 - mmengine - INFO - Epoch(train) [11][300/1879] lr: 2.0000e-02 eta: 12:53:52 time: 0.5698 data_time: 0.0254 memory: 13723 grad_norm: 3.7487 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7132 loss: 1.7132 2022/08/08 20:08:10 - mmengine - INFO - Epoch(train) [11][320/1879] lr: 2.0000e-02 eta: 12:53:35 time: 0.5721 data_time: 0.0265 memory: 13723 grad_norm: 3.8201 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5537 loss: 1.5537 2022/08/08 20:08:21 - mmengine - INFO - Epoch(train) [11][340/1879] lr: 2.0000e-02 eta: 12:53:19 time: 0.5660 data_time: 0.0266 memory: 13723 grad_norm: 3.8369 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7593 loss: 1.7593 2022/08/08 20:08:32 - mmengine - INFO - Epoch(train) [11][360/1879] lr: 2.0000e-02 eta: 12:53:03 time: 0.5749 data_time: 0.0273 memory: 13723 grad_norm: 3.8278 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.8140 loss: 1.8140 2022/08/08 20:08:45 - mmengine - INFO - Epoch(train) [11][380/1879] lr: 2.0000e-02 eta: 12:52:50 time: 0.6146 data_time: 0.0255 memory: 13723 grad_norm: 3.8340 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6551 loss: 1.6551 2022/08/08 20:08:57 - mmengine - INFO - Epoch(train) [11][400/1879] lr: 2.0000e-02 eta: 12:52:36 time: 0.6039 data_time: 0.0224 memory: 13723 grad_norm: 3.7755 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6916 loss: 1.6916 2022/08/08 20:09:09 - mmengine - INFO - Epoch(train) [11][420/1879] lr: 2.0000e-02 eta: 12:52:21 time: 0.5850 data_time: 0.0266 memory: 13723 grad_norm: 3.8301 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7905 loss: 1.7905 2022/08/08 20:09:20 - mmengine - INFO - Epoch(train) [11][440/1879] lr: 2.0000e-02 eta: 12:52:05 time: 0.5756 data_time: 0.0256 memory: 13723 grad_norm: 3.8177 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8465 loss: 1.8465 2022/08/08 20:09:32 - mmengine - INFO - Epoch(train) [11][460/1879] lr: 2.0000e-02 eta: 12:51:50 time: 0.5771 data_time: 0.0259 memory: 13723 grad_norm: 3.7407 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6779 loss: 1.6779 2022/08/08 20:09:43 - mmengine - INFO - Epoch(train) [11][480/1879] lr: 2.0000e-02 eta: 12:51:34 time: 0.5731 data_time: 0.0255 memory: 13723 grad_norm: 3.8274 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8884 loss: 1.8884 2022/08/08 20:09:54 - mmengine - INFO - Epoch(train) [11][500/1879] lr: 2.0000e-02 eta: 12:51:17 time: 0.5658 data_time: 0.0250 memory: 13723 grad_norm: 3.8100 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7876 loss: 1.7876 2022/08/08 20:10:06 - mmengine - INFO - Epoch(train) [11][520/1879] lr: 2.0000e-02 eta: 12:51:01 time: 0.5692 data_time: 0.0264 memory: 13723 grad_norm: 3.7381 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.7419 loss: 1.7419 2022/08/08 20:10:19 - mmengine - INFO - Epoch(train) [11][540/1879] lr: 2.0000e-02 eta: 12:50:52 time: 0.6622 data_time: 0.0766 memory: 13723 grad_norm: 3.8681 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6501 loss: 1.6501 2022/08/08 20:10:31 - mmengine - INFO - Epoch(train) [11][560/1879] lr: 2.0000e-02 eta: 12:50:37 time: 0.5868 data_time: 0.0273 memory: 13723 grad_norm: 3.8548 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8173 loss: 1.8173 2022/08/08 20:10:43 - mmengine - INFO - Epoch(train) [11][580/1879] lr: 2.0000e-02 eta: 12:50:22 time: 0.5925 data_time: 0.0293 memory: 13723 grad_norm: 3.7341 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7033 loss: 1.7033 2022/08/08 20:10:54 - mmengine - INFO - Epoch(train) [11][600/1879] lr: 2.0000e-02 eta: 12:50:07 time: 0.5837 data_time: 0.0299 memory: 13723 grad_norm: 3.7179 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6612 loss: 1.6612 2022/08/08 20:11:06 - mmengine - INFO - Epoch(train) [11][620/1879] lr: 2.0000e-02 eta: 12:49:53 time: 0.5969 data_time: 0.0229 memory: 13723 grad_norm: 3.8346 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7929 loss: 1.7929 2022/08/08 20:11:18 - mmengine - INFO - Epoch(train) [11][640/1879] lr: 2.0000e-02 eta: 12:49:38 time: 0.5923 data_time: 0.0282 memory: 13723 grad_norm: 3.9322 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0253 loss: 2.0253 2022/08/08 20:11:30 - mmengine - INFO - Epoch(train) [11][660/1879] lr: 2.0000e-02 eta: 12:49:24 time: 0.5908 data_time: 0.0226 memory: 13723 grad_norm: 3.7506 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7638 loss: 1.7638 2022/08/08 20:11:41 - mmengine - INFO - Epoch(train) [11][680/1879] lr: 2.0000e-02 eta: 12:49:07 time: 0.5674 data_time: 0.0241 memory: 13723 grad_norm: 3.7400 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7314 loss: 1.7314 2022/08/08 20:11:52 - mmengine - INFO - Epoch(train) [11][700/1879] lr: 2.0000e-02 eta: 12:48:51 time: 0.5629 data_time: 0.0247 memory: 13723 grad_norm: 3.8434 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9729 loss: 1.9729 2022/08/08 20:12:04 - mmengine - INFO - Epoch(train) [11][720/1879] lr: 2.0000e-02 eta: 12:48:34 time: 0.5648 data_time: 0.0254 memory: 13723 grad_norm: 3.8254 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8727 loss: 1.8727 2022/08/08 20:12:15 - mmengine - INFO - Epoch(train) [11][740/1879] lr: 2.0000e-02 eta: 12:48:18 time: 0.5703 data_time: 0.0265 memory: 13723 grad_norm: 3.7021 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6994 loss: 1.6994 2022/08/08 20:12:26 - mmengine - INFO - Epoch(train) [11][760/1879] lr: 2.0000e-02 eta: 12:48:01 time: 0.5623 data_time: 0.0300 memory: 13723 grad_norm: 3.9252 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8955 loss: 1.8955 2022/08/08 20:12:38 - mmengine - INFO - Epoch(train) [11][780/1879] lr: 2.0000e-02 eta: 12:47:45 time: 0.5730 data_time: 0.0253 memory: 13723 grad_norm: 3.8265 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7408 loss: 1.7408 2022/08/08 20:12:49 - mmengine - INFO - Epoch(train) [11][800/1879] lr: 2.0000e-02 eta: 12:47:30 time: 0.5755 data_time: 0.0255 memory: 13723 grad_norm: 3.8189 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9411 loss: 1.9411 2022/08/08 20:13:01 - mmengine - INFO - Epoch(train) [11][820/1879] lr: 2.0000e-02 eta: 12:47:14 time: 0.5717 data_time: 0.0271 memory: 13723 grad_norm: 3.8027 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7510 loss: 1.7510 2022/08/08 20:13:12 - mmengine - INFO - Epoch(train) [11][840/1879] lr: 2.0000e-02 eta: 12:46:57 time: 0.5703 data_time: 0.0250 memory: 13723 grad_norm: 3.7998 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6722 loss: 1.6722 2022/08/08 20:13:24 - mmengine - INFO - Epoch(train) [11][860/1879] lr: 2.0000e-02 eta: 12:46:41 time: 0.5659 data_time: 0.0246 memory: 13723 grad_norm: 3.8708 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7531 loss: 1.7531 2022/08/08 20:13:35 - mmengine - INFO - Epoch(train) [11][880/1879] lr: 2.0000e-02 eta: 12:46:25 time: 0.5693 data_time: 0.0285 memory: 13723 grad_norm: 3.8503 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8175 loss: 1.8175 2022/08/08 20:13:47 - mmengine - INFO - Epoch(train) [11][900/1879] lr: 2.0000e-02 eta: 12:46:10 time: 0.5803 data_time: 0.0242 memory: 13723 grad_norm: 3.8050 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6341 loss: 1.6341 2022/08/08 20:13:58 - mmengine - INFO - Epoch(train) [11][920/1879] lr: 2.0000e-02 eta: 12:45:54 time: 0.5727 data_time: 0.0238 memory: 13723 grad_norm: 3.7731 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8900 loss: 1.8900 2022/08/08 20:14:11 - mmengine - INFO - Epoch(train) [11][940/1879] lr: 2.0000e-02 eta: 12:45:45 time: 0.6706 data_time: 0.0235 memory: 13723 grad_norm: 3.8254 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8794 loss: 1.8794 2022/08/08 20:14:23 - mmengine - INFO - Epoch(train) [11][960/1879] lr: 2.0000e-02 eta: 12:45:29 time: 0.5655 data_time: 0.0221 memory: 13723 grad_norm: 3.8606 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8027 loss: 1.8027 2022/08/08 20:14:34 - mmengine - INFO - Epoch(train) [11][980/1879] lr: 2.0000e-02 eta: 12:45:14 time: 0.5820 data_time: 0.0235 memory: 13723 grad_norm: 3.8118 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5988 loss: 1.5988 2022/08/08 20:14:46 - mmengine - INFO - Epoch(train) [11][1000/1879] lr: 2.0000e-02 eta: 12:44:58 time: 0.5707 data_time: 0.0261 memory: 13723 grad_norm: 3.7523 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8706 loss: 1.8706 2022/08/08 20:14:57 - mmengine - INFO - Epoch(train) [11][1020/1879] lr: 2.0000e-02 eta: 12:44:42 time: 0.5787 data_time: 0.0256 memory: 13723 grad_norm: 3.8846 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7682 loss: 1.7682 2022/08/08 20:15:09 - mmengine - INFO - Epoch(train) [11][1040/1879] lr: 2.0000e-02 eta: 12:44:27 time: 0.5814 data_time: 0.0210 memory: 13723 grad_norm: 3.8285 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7415 loss: 1.7415 2022/08/08 20:15:21 - mmengine - INFO - Epoch(train) [11][1060/1879] lr: 2.0000e-02 eta: 12:44:12 time: 0.5858 data_time: 0.0256 memory: 13723 grad_norm: 3.8116 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8020 loss: 1.8020 2022/08/08 20:15:33 - mmengine - INFO - Epoch(train) [11][1080/1879] lr: 2.0000e-02 eta: 12:43:58 time: 0.5895 data_time: 0.0237 memory: 13723 grad_norm: 3.7342 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7693 loss: 1.7693 2022/08/08 20:15:45 - mmengine - INFO - Epoch(train) [11][1100/1879] lr: 2.0000e-02 eta: 12:43:45 time: 0.6137 data_time: 0.0236 memory: 13723 grad_norm: 3.7554 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8158 loss: 1.8158 2022/08/08 20:15:57 - mmengine - INFO - Epoch(train) [11][1120/1879] lr: 2.0000e-02 eta: 12:43:32 time: 0.6140 data_time: 0.0240 memory: 13723 grad_norm: 3.8698 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6056 loss: 1.6056 2022/08/08 20:16:09 - mmengine - INFO - Epoch(train) [11][1140/1879] lr: 2.0000e-02 eta: 12:43:17 time: 0.5758 data_time: 0.0236 memory: 13723 grad_norm: 3.7421 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6054 loss: 1.6054 2022/08/08 20:16:20 - mmengine - INFO - Epoch(train) [11][1160/1879] lr: 2.0000e-02 eta: 12:43:01 time: 0.5694 data_time: 0.0265 memory: 13723 grad_norm: 3.7317 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8462 loss: 1.8462 2022/08/08 20:16:31 - mmengine - INFO - Epoch(train) [11][1180/1879] lr: 2.0000e-02 eta: 12:42:45 time: 0.5690 data_time: 0.0249 memory: 13723 grad_norm: 3.7444 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5852 loss: 1.5852 2022/08/08 20:16:43 - mmengine - INFO - Epoch(train) [11][1200/1879] lr: 2.0000e-02 eta: 12:42:29 time: 0.5771 data_time: 0.0240 memory: 13723 grad_norm: 3.7619 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7559 loss: 1.7559 2022/08/08 20:16:49 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 20:16:55 - mmengine - INFO - Epoch(train) [11][1220/1879] lr: 2.0000e-02 eta: 12:42:14 time: 0.5834 data_time: 0.0240 memory: 13723 grad_norm: 3.8575 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6590 loss: 1.6590 2022/08/08 20:17:06 - mmengine - INFO - Epoch(train) [11][1240/1879] lr: 2.0000e-02 eta: 12:42:00 time: 0.5890 data_time: 0.0241 memory: 13723 grad_norm: 3.8357 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6346 loss: 1.6346 2022/08/08 20:17:18 - mmengine - INFO - Epoch(train) [11][1260/1879] lr: 2.0000e-02 eta: 12:41:45 time: 0.5826 data_time: 0.0238 memory: 13723 grad_norm: 3.8276 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6443 loss: 1.6443 2022/08/08 20:17:30 - mmengine - INFO - Epoch(train) [11][1280/1879] lr: 2.0000e-02 eta: 12:41:29 time: 0.5783 data_time: 0.0227 memory: 13723 grad_norm: 3.8202 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9397 loss: 1.9397 2022/08/08 20:17:41 - mmengine - INFO - Epoch(train) [11][1300/1879] lr: 2.0000e-02 eta: 12:41:13 time: 0.5689 data_time: 0.0231 memory: 13723 grad_norm: 3.7700 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7602 loss: 1.7602 2022/08/08 20:17:53 - mmengine - INFO - Epoch(train) [11][1320/1879] lr: 2.0000e-02 eta: 12:40:58 time: 0.5776 data_time: 0.0265 memory: 13723 grad_norm: 3.8619 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7481 loss: 1.7481 2022/08/08 20:18:04 - mmengine - INFO - Epoch(train) [11][1340/1879] lr: 2.0000e-02 eta: 12:40:42 time: 0.5753 data_time: 0.0230 memory: 13723 grad_norm: 3.9078 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9602 loss: 1.9602 2022/08/08 20:18:16 - mmengine - INFO - Epoch(train) [11][1360/1879] lr: 2.0000e-02 eta: 12:40:27 time: 0.5708 data_time: 0.0244 memory: 13723 grad_norm: 3.8020 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9011 loss: 1.9011 2022/08/08 20:18:27 - mmengine - INFO - Epoch(train) [11][1380/1879] lr: 2.0000e-02 eta: 12:40:12 time: 0.5866 data_time: 0.0253 memory: 13723 grad_norm: 3.8697 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8914 loss: 1.8914 2022/08/08 20:18:39 - mmengine - INFO - Epoch(train) [11][1400/1879] lr: 2.0000e-02 eta: 12:39:58 time: 0.5966 data_time: 0.0244 memory: 13723 grad_norm: 3.7702 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9792 loss: 1.9792 2022/08/08 20:18:51 - mmengine - INFO - Epoch(train) [11][1420/1879] lr: 2.0000e-02 eta: 12:39:43 time: 0.5904 data_time: 0.0243 memory: 13723 grad_norm: 3.7759 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8610 loss: 1.8610 2022/08/08 20:19:04 - mmengine - INFO - Epoch(train) [11][1440/1879] lr: 2.0000e-02 eta: 12:39:32 time: 0.6259 data_time: 0.0246 memory: 13723 grad_norm: 3.7511 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8750 loss: 1.8750 2022/08/08 20:19:15 - mmengine - INFO - Epoch(train) [11][1460/1879] lr: 2.0000e-02 eta: 12:39:16 time: 0.5790 data_time: 0.0238 memory: 13723 grad_norm: 3.8274 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9430 loss: 1.9430 2022/08/08 20:19:27 - mmengine - INFO - Epoch(train) [11][1480/1879] lr: 2.0000e-02 eta: 12:39:02 time: 0.5918 data_time: 0.0400 memory: 13723 grad_norm: 3.8173 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0480 loss: 2.0480 2022/08/08 20:19:38 - mmengine - INFO - Epoch(train) [11][1500/1879] lr: 2.0000e-02 eta: 12:38:47 time: 0.5765 data_time: 0.0241 memory: 13723 grad_norm: 3.8133 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6449 loss: 1.6449 2022/08/08 20:19:50 - mmengine - INFO - Epoch(train) [11][1520/1879] lr: 2.0000e-02 eta: 12:38:31 time: 0.5740 data_time: 0.0236 memory: 13723 grad_norm: 3.7607 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9054 loss: 1.9054 2022/08/08 20:20:02 - mmengine - INFO - Epoch(train) [11][1540/1879] lr: 2.0000e-02 eta: 12:38:16 time: 0.5810 data_time: 0.0288 memory: 13723 grad_norm: 3.7278 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6788 loss: 1.6788 2022/08/08 20:20:15 - mmengine - INFO - Epoch(train) [11][1560/1879] lr: 2.0000e-02 eta: 12:38:07 time: 0.6646 data_time: 0.0246 memory: 13723 grad_norm: 3.7169 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8520 loss: 1.8520 2022/08/08 20:20:27 - mmengine - INFO - Epoch(train) [11][1580/1879] lr: 2.0000e-02 eta: 12:37:54 time: 0.6118 data_time: 0.0257 memory: 13723 grad_norm: 3.7202 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8690 loss: 1.8690 2022/08/08 20:20:40 - mmengine - INFO - Epoch(train) [11][1600/1879] lr: 2.0000e-02 eta: 12:37:43 time: 0.6358 data_time: 0.0227 memory: 13723 grad_norm: 3.8529 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9959 loss: 1.9959 2022/08/08 20:20:51 - mmengine - INFO - Epoch(train) [11][1620/1879] lr: 2.0000e-02 eta: 12:37:27 time: 0.5676 data_time: 0.0234 memory: 13723 grad_norm: 3.7214 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6284 loss: 1.6284 2022/08/08 20:21:03 - mmengine - INFO - Epoch(train) [11][1640/1879] lr: 2.0000e-02 eta: 12:37:12 time: 0.5733 data_time: 0.0277 memory: 13723 grad_norm: 3.6196 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.5494 loss: 1.5494 2022/08/08 20:21:14 - mmengine - INFO - Epoch(train) [11][1660/1879] lr: 2.0000e-02 eta: 12:36:56 time: 0.5766 data_time: 0.0242 memory: 13723 grad_norm: 3.6968 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6490 loss: 1.6490 2022/08/08 20:21:26 - mmengine - INFO - Epoch(train) [11][1680/1879] lr: 2.0000e-02 eta: 12:36:41 time: 0.5778 data_time: 0.0232 memory: 13723 grad_norm: 3.7252 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6823 loss: 1.6823 2022/08/08 20:21:38 - mmengine - INFO - Epoch(train) [11][1700/1879] lr: 2.0000e-02 eta: 12:36:27 time: 0.5972 data_time: 0.0227 memory: 13723 grad_norm: 3.6318 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7148 loss: 1.7148 2022/08/08 20:21:49 - mmengine - INFO - Epoch(train) [11][1720/1879] lr: 2.0000e-02 eta: 12:36:12 time: 0.5698 data_time: 0.0244 memory: 13723 grad_norm: 3.7847 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5803 loss: 1.5803 2022/08/08 20:22:01 - mmengine - INFO - Epoch(train) [11][1740/1879] lr: 2.0000e-02 eta: 12:35:56 time: 0.5760 data_time: 0.0250 memory: 13723 grad_norm: 3.8964 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7655 loss: 1.7655 2022/08/08 20:22:13 - mmengine - INFO - Epoch(train) [11][1760/1879] lr: 2.0000e-02 eta: 12:35:43 time: 0.6009 data_time: 0.0231 memory: 13723 grad_norm: 3.8085 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8275 loss: 1.8275 2022/08/08 20:22:24 - mmengine - INFO - Epoch(train) [11][1780/1879] lr: 2.0000e-02 eta: 12:35:27 time: 0.5781 data_time: 0.0235 memory: 13723 grad_norm: 3.7582 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7868 loss: 1.7868 2022/08/08 20:22:36 - mmengine - INFO - Epoch(train) [11][1800/1879] lr: 2.0000e-02 eta: 12:35:14 time: 0.6039 data_time: 0.0227 memory: 13723 grad_norm: 3.8371 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6333 loss: 1.6333 2022/08/08 20:22:48 - mmengine - INFO - Epoch(train) [11][1820/1879] lr: 2.0000e-02 eta: 12:34:59 time: 0.5858 data_time: 0.0232 memory: 13723 grad_norm: 3.8670 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.9650 loss: 1.9650 2022/08/08 20:23:00 - mmengine - INFO - Epoch(train) [11][1840/1879] lr: 2.0000e-02 eta: 12:34:46 time: 0.6043 data_time: 0.0222 memory: 13723 grad_norm: 3.7468 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8799 loss: 1.8799 2022/08/08 20:23:12 - mmengine - INFO - Epoch(train) [11][1860/1879] lr: 2.0000e-02 eta: 12:34:31 time: 0.5834 data_time: 0.0250 memory: 13723 grad_norm: 3.8040 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8356 loss: 1.8356 2022/08/08 20:23:22 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 20:23:22 - mmengine - INFO - Epoch(train) [11][1879/1879] lr: 2.0000e-02 eta: 12:34:31 time: 0.5359 data_time: 0.0182 memory: 13723 grad_norm: 3.9346 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.9101 loss: 1.9101 2022/08/08 20:23:35 - mmengine - INFO - Epoch(val) [11][20/155] eta: 0:01:28 time: 0.6565 data_time: 0.5156 memory: 1829 2022/08/08 20:23:44 - mmengine - INFO - Epoch(val) [11][40/155] eta: 0:00:50 time: 0.4358 data_time: 0.2963 memory: 1829 2022/08/08 20:23:56 - mmengine - INFO - Epoch(val) [11][60/155] eta: 0:00:58 time: 0.6133 data_time: 0.4738 memory: 1829 2022/08/08 20:24:05 - mmengine - INFO - Epoch(val) [11][80/155] eta: 0:00:34 time: 0.4608 data_time: 0.3220 memory: 1829 2022/08/08 20:24:18 - mmengine - INFO - Epoch(val) [11][100/155] eta: 0:00:34 time: 0.6249 data_time: 0.4852 memory: 1829 2022/08/08 20:24:26 - mmengine - INFO - Epoch(val) [11][120/155] eta: 0:00:14 time: 0.4244 data_time: 0.2854 memory: 1829 2022/08/08 20:24:39 - mmengine - INFO - Epoch(val) [11][140/155] eta: 0:00:09 time: 0.6407 data_time: 0.5017 memory: 1829 2022/08/08 20:24:52 - mmengine - INFO - Epoch(val) [11][155/155] acc/top1: 0.5874 acc/top5: 0.8239 acc/mean1: 0.5873 2022/08/08 20:24:52 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_11.pth is removed 2022/08/08 20:24:53 - mmengine - INFO - The best checkpoint with 0.5874 acc/top1 at 12 epoch is saved to best_acc/top1_epoch_12.pth. 2022/08/08 20:25:14 - mmengine - INFO - Epoch(train) [12][20/1879] lr: 2.0000e-02 eta: 12:33:54 time: 1.0210 data_time: 0.3896 memory: 13723 grad_norm: 3.7366 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5675 loss: 1.5675 2022/08/08 20:25:27 - mmengine - INFO - Epoch(train) [12][40/1879] lr: 2.0000e-02 eta: 12:33:44 time: 0.6487 data_time: 0.0195 memory: 13723 grad_norm: 3.7762 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5712 loss: 1.5712 2022/08/08 20:25:42 - mmengine - INFO - Epoch(train) [12][60/1879] lr: 2.0000e-02 eta: 12:33:43 time: 0.7708 data_time: 0.0202 memory: 13723 grad_norm: 3.8533 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9877 loss: 1.9877 2022/08/08 20:25:55 - mmengine - INFO - Epoch(train) [12][80/1879] lr: 2.0000e-02 eta: 12:33:34 time: 0.6694 data_time: 0.0187 memory: 13723 grad_norm: 3.7273 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8460 loss: 1.8460 2022/08/08 20:26:07 - mmengine - INFO - Epoch(train) [12][100/1879] lr: 2.0000e-02 eta: 12:33:19 time: 0.5848 data_time: 0.0212 memory: 13723 grad_norm: 3.7473 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7742 loss: 1.7742 2022/08/08 20:26:19 - mmengine - INFO - Epoch(train) [12][120/1879] lr: 2.0000e-02 eta: 12:33:05 time: 0.5914 data_time: 0.0238 memory: 13723 grad_norm: 3.8148 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8147 loss: 1.8147 2022/08/08 20:26:31 - mmengine - INFO - Epoch(train) [12][140/1879] lr: 2.0000e-02 eta: 12:32:50 time: 0.5813 data_time: 0.0256 memory: 13723 grad_norm: 3.7766 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9260 loss: 1.9260 2022/08/08 20:26:42 - mmengine - INFO - Epoch(train) [12][160/1879] lr: 2.0000e-02 eta: 12:32:35 time: 0.5745 data_time: 0.0229 memory: 13723 grad_norm: 3.6729 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7839 loss: 1.7839 2022/08/08 20:26:55 - mmengine - INFO - Epoch(train) [12][180/1879] lr: 2.0000e-02 eta: 12:32:23 time: 0.6261 data_time: 0.0258 memory: 13723 grad_norm: 3.7797 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6607 loss: 1.6607 2022/08/08 20:27:07 - mmengine - INFO - Epoch(train) [12][200/1879] lr: 2.0000e-02 eta: 12:32:10 time: 0.6022 data_time: 0.0235 memory: 13723 grad_norm: 3.8958 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8716 loss: 1.8716 2022/08/08 20:27:18 - mmengine - INFO - Epoch(train) [12][220/1879] lr: 2.0000e-02 eta: 12:31:54 time: 0.5683 data_time: 0.0243 memory: 13723 grad_norm: 3.8244 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9448 loss: 1.9448 2022/08/08 20:27:30 - mmengine - INFO - Epoch(train) [12][240/1879] lr: 2.0000e-02 eta: 12:31:39 time: 0.5784 data_time: 0.0234 memory: 13723 grad_norm: 3.7748 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8074 loss: 1.8074 2022/08/08 20:27:43 - mmengine - INFO - Epoch(train) [12][260/1879] lr: 2.0000e-02 eta: 12:31:32 time: 0.6935 data_time: 0.0214 memory: 13723 grad_norm: 3.8421 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8159 loss: 1.8159 2022/08/08 20:27:56 - mmengine - INFO - Epoch(train) [12][280/1879] lr: 2.0000e-02 eta: 12:31:18 time: 0.6047 data_time: 0.0205 memory: 13723 grad_norm: 3.7425 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7750 loss: 1.7750 2022/08/08 20:28:12 - mmengine - INFO - Epoch(train) [12][300/1879] lr: 2.0000e-02 eta: 12:31:20 time: 0.8147 data_time: 0.0178 memory: 13723 grad_norm: 3.8734 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7895 loss: 1.7895 2022/08/08 20:28:25 - mmengine - INFO - Epoch(train) [12][320/1879] lr: 2.0000e-02 eta: 12:31:10 time: 0.6479 data_time: 0.0199 memory: 13723 grad_norm: 3.7583 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8848 loss: 1.8848 2022/08/08 20:28:31 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 20:28:36 - mmengine - INFO - Epoch(train) [12][340/1879] lr: 2.0000e-02 eta: 12:30:54 time: 0.5752 data_time: 0.0227 memory: 13723 grad_norm: 3.7148 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8982 loss: 1.8982 2022/08/08 20:28:49 - mmengine - INFO - Epoch(train) [12][360/1879] lr: 2.0000e-02 eta: 12:30:44 time: 0.6486 data_time: 0.0210 memory: 13723 grad_norm: 3.8340 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8726 loss: 1.8726 2022/08/08 20:29:01 - mmengine - INFO - Epoch(train) [12][380/1879] lr: 2.0000e-02 eta: 12:30:31 time: 0.6069 data_time: 0.0225 memory: 13723 grad_norm: 3.8083 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9742 loss: 1.9742 2022/08/08 20:29:14 - mmengine - INFO - Epoch(train) [12][400/1879] lr: 2.0000e-02 eta: 12:30:21 time: 0.6551 data_time: 0.0188 memory: 13723 grad_norm: 3.7643 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6368 loss: 1.6368 2022/08/08 20:29:29 - mmengine - INFO - Epoch(train) [12][420/1879] lr: 2.0000e-02 eta: 12:30:14 time: 0.6957 data_time: 0.0203 memory: 13723 grad_norm: 3.7648 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8556 loss: 1.8556 2022/08/08 20:29:40 - mmengine - INFO - Epoch(train) [12][440/1879] lr: 2.0000e-02 eta: 12:29:59 time: 0.5760 data_time: 0.0347 memory: 13723 grad_norm: 3.6955 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6530 loss: 1.6530 2022/08/08 20:29:51 - mmengine - INFO - Epoch(train) [12][460/1879] lr: 2.0000e-02 eta: 12:29:44 time: 0.5736 data_time: 0.0233 memory: 13723 grad_norm: 3.8121 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8986 loss: 1.8986 2022/08/08 20:30:04 - mmengine - INFO - Epoch(train) [12][480/1879] lr: 2.0000e-02 eta: 12:29:31 time: 0.6195 data_time: 0.0475 memory: 13723 grad_norm: 3.8105 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5921 loss: 1.5921 2022/08/08 20:30:21 - mmengine - INFO - Epoch(train) [12][500/1879] lr: 2.0000e-02 eta: 12:29:37 time: 0.8779 data_time: 0.0472 memory: 13723 grad_norm: 3.8453 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8185 loss: 1.8185 2022/08/08 20:30:33 - mmengine - INFO - Epoch(train) [12][520/1879] lr: 2.0000e-02 eta: 12:29:22 time: 0.5834 data_time: 0.0260 memory: 13723 grad_norm: 3.8291 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8947 loss: 1.8947 2022/08/08 20:30:45 - mmengine - INFO - Epoch(train) [12][540/1879] lr: 2.0000e-02 eta: 12:29:09 time: 0.6007 data_time: 0.0240 memory: 13723 grad_norm: 3.7146 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8755 loss: 1.8755 2022/08/08 20:30:57 - mmengine - INFO - Epoch(train) [12][560/1879] lr: 2.0000e-02 eta: 12:28:54 time: 0.5833 data_time: 0.0216 memory: 13723 grad_norm: 3.8024 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7619 loss: 1.7619 2022/08/08 20:31:08 - mmengine - INFO - Epoch(train) [12][580/1879] lr: 2.0000e-02 eta: 12:28:39 time: 0.5860 data_time: 0.0227 memory: 13723 grad_norm: 3.7579 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7382 loss: 1.7382 2022/08/08 20:31:20 - mmengine - INFO - Epoch(train) [12][600/1879] lr: 2.0000e-02 eta: 12:28:24 time: 0.5796 data_time: 0.0238 memory: 13723 grad_norm: 3.7776 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5900 loss: 1.5900 2022/08/08 20:31:33 - mmengine - INFO - Epoch(train) [12][620/1879] lr: 2.0000e-02 eta: 12:28:14 time: 0.6495 data_time: 0.0208 memory: 13723 grad_norm: 3.8331 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8292 loss: 1.8292 2022/08/08 20:31:45 - mmengine - INFO - Epoch(train) [12][640/1879] lr: 2.0000e-02 eta: 12:27:59 time: 0.5758 data_time: 0.0230 memory: 13723 grad_norm: 3.7323 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6570 loss: 1.6570 2022/08/08 20:31:57 - mmengine - INFO - Epoch(train) [12][660/1879] lr: 2.0000e-02 eta: 12:27:49 time: 0.6454 data_time: 0.0219 memory: 13723 grad_norm: 3.8173 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8313 loss: 1.8313 2022/08/08 20:32:09 - mmengine - INFO - Epoch(train) [12][680/1879] lr: 2.0000e-02 eta: 12:27:33 time: 0.5746 data_time: 0.0233 memory: 13723 grad_norm: 3.7911 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8060 loss: 1.8060 2022/08/08 20:32:21 - mmengine - INFO - Epoch(train) [12][700/1879] lr: 2.0000e-02 eta: 12:27:20 time: 0.6049 data_time: 0.0264 memory: 13723 grad_norm: 3.8157 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.5703 loss: 1.5703 2022/08/08 20:32:32 - mmengine - INFO - Epoch(train) [12][720/1879] lr: 2.0000e-02 eta: 12:27:04 time: 0.5668 data_time: 0.0216 memory: 13723 grad_norm: 3.8263 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8180 loss: 1.8180 2022/08/08 20:32:44 - mmengine - INFO - Epoch(train) [12][740/1879] lr: 2.0000e-02 eta: 12:26:49 time: 0.5800 data_time: 0.0298 memory: 13723 grad_norm: 3.8190 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8820 loss: 1.8820 2022/08/08 20:32:55 - mmengine - INFO - Epoch(train) [12][760/1879] lr: 2.0000e-02 eta: 12:26:34 time: 0.5691 data_time: 0.0243 memory: 13723 grad_norm: 3.7604 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7461 loss: 1.7461 2022/08/08 20:33:07 - mmengine - INFO - Epoch(train) [12][780/1879] lr: 2.0000e-02 eta: 12:26:19 time: 0.5859 data_time: 0.0264 memory: 13723 grad_norm: 3.9020 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8456 loss: 1.8456 2022/08/08 20:33:19 - mmengine - INFO - Epoch(train) [12][800/1879] lr: 2.0000e-02 eta: 12:26:04 time: 0.5799 data_time: 0.0237 memory: 13723 grad_norm: 3.7706 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6061 loss: 1.6061 2022/08/08 20:33:32 - mmengine - INFO - Epoch(train) [12][820/1879] lr: 2.0000e-02 eta: 12:25:54 time: 0.6423 data_time: 0.0229 memory: 13723 grad_norm: 3.8866 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7550 loss: 1.7550 2022/08/08 20:33:43 - mmengine - INFO - Epoch(train) [12][840/1879] lr: 2.0000e-02 eta: 12:25:38 time: 0.5682 data_time: 0.0224 memory: 13723 grad_norm: 3.8222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7479 loss: 1.7479 2022/08/08 20:33:54 - mmengine - INFO - Epoch(train) [12][860/1879] lr: 2.0000e-02 eta: 12:25:23 time: 0.5754 data_time: 0.0231 memory: 13723 grad_norm: 3.8362 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7722 loss: 1.7722 2022/08/08 20:34:06 - mmengine - INFO - Epoch(train) [12][880/1879] lr: 2.0000e-02 eta: 12:25:07 time: 0.5709 data_time: 0.0248 memory: 13723 grad_norm: 3.8548 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7999 loss: 1.7999 2022/08/08 20:34:18 - mmengine - INFO - Epoch(train) [12][900/1879] lr: 2.0000e-02 eta: 12:24:54 time: 0.5983 data_time: 0.0242 memory: 13723 grad_norm: 3.7905 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6162 loss: 1.6162 2022/08/08 20:34:31 - mmengine - INFO - Epoch(train) [12][920/1879] lr: 2.0000e-02 eta: 12:24:43 time: 0.6408 data_time: 0.0199 memory: 13723 grad_norm: 3.7236 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6280 loss: 1.6280 2022/08/08 20:34:44 - mmengine - INFO - Epoch(train) [12][940/1879] lr: 2.0000e-02 eta: 12:24:33 time: 0.6521 data_time: 0.0364 memory: 13723 grad_norm: 3.8268 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6679 loss: 1.6679 2022/08/08 20:34:55 - mmengine - INFO - Epoch(train) [12][960/1879] lr: 2.0000e-02 eta: 12:24:17 time: 0.5657 data_time: 0.0206 memory: 13723 grad_norm: 3.8325 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7641 loss: 1.7641 2022/08/08 20:35:12 - mmengine - INFO - Epoch(train) [12][980/1879] lr: 2.0000e-02 eta: 12:24:21 time: 0.8632 data_time: 0.0250 memory: 13723 grad_norm: 3.8316 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0231 loss: 2.0231 2022/08/08 20:35:24 - mmengine - INFO - Epoch(train) [12][1000/1879] lr: 2.0000e-02 eta: 12:24:06 time: 0.5818 data_time: 0.0260 memory: 13723 grad_norm: 3.6599 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8271 loss: 1.8271 2022/08/08 20:35:37 - mmengine - INFO - Epoch(train) [12][1020/1879] lr: 2.0000e-02 eta: 12:23:56 time: 0.6483 data_time: 0.0226 memory: 13723 grad_norm: 3.7881 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8860 loss: 1.8860 2022/08/08 20:35:49 - mmengine - INFO - Epoch(train) [12][1040/1879] lr: 2.0000e-02 eta: 12:23:43 time: 0.6160 data_time: 0.0209 memory: 13723 grad_norm: 3.8093 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8049 loss: 1.8049 2022/08/08 20:36:01 - mmengine - INFO - Epoch(train) [12][1060/1879] lr: 2.0000e-02 eta: 12:23:28 time: 0.5680 data_time: 0.0240 memory: 13723 grad_norm: 3.8682 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7756 loss: 1.7756 2022/08/08 20:36:12 - mmengine - INFO - Epoch(train) [12][1080/1879] lr: 2.0000e-02 eta: 12:23:12 time: 0.5741 data_time: 0.0262 memory: 13723 grad_norm: 3.7513 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7250 loss: 1.7250 2022/08/08 20:36:25 - mmengine - INFO - Epoch(train) [12][1100/1879] lr: 2.0000e-02 eta: 12:23:02 time: 0.6401 data_time: 0.0243 memory: 13723 grad_norm: 3.6941 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6931 loss: 1.6931 2022/08/08 20:36:37 - mmengine - INFO - Epoch(train) [12][1120/1879] lr: 2.0000e-02 eta: 12:22:48 time: 0.5947 data_time: 0.0211 memory: 13723 grad_norm: 3.7295 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6842 loss: 1.6842 2022/08/08 20:36:49 - mmengine - INFO - Epoch(train) [12][1140/1879] lr: 2.0000e-02 eta: 12:22:35 time: 0.6148 data_time: 0.0370 memory: 13723 grad_norm: 3.8583 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7699 loss: 1.7699 2022/08/08 20:37:00 - mmengine - INFO - Epoch(train) [12][1160/1879] lr: 2.0000e-02 eta: 12:22:20 time: 0.5676 data_time: 0.0230 memory: 13723 grad_norm: 3.8968 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8114 loss: 1.8114 2022/08/08 20:37:12 - mmengine - INFO - Epoch(train) [12][1180/1879] lr: 2.0000e-02 eta: 12:22:04 time: 0.5764 data_time: 0.0227 memory: 13723 grad_norm: 3.7587 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8028 loss: 1.8028 2022/08/08 20:37:25 - mmengine - INFO - Epoch(train) [12][1200/1879] lr: 2.0000e-02 eta: 12:21:54 time: 0.6439 data_time: 0.0215 memory: 13723 grad_norm: 3.7560 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6818 loss: 1.6818 2022/08/08 20:37:37 - mmengine - INFO - Epoch(train) [12][1220/1879] lr: 2.0000e-02 eta: 12:21:41 time: 0.6169 data_time: 0.0213 memory: 13723 grad_norm: 3.8965 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7278 loss: 1.7278 2022/08/08 20:37:49 - mmengine - INFO - Epoch(train) [12][1240/1879] lr: 2.0000e-02 eta: 12:21:26 time: 0.5728 data_time: 0.0254 memory: 13723 grad_norm: 3.8950 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9602 loss: 1.9602 2022/08/08 20:38:01 - mmengine - INFO - Epoch(train) [12][1260/1879] lr: 2.0000e-02 eta: 12:21:13 time: 0.6019 data_time: 0.0254 memory: 13723 grad_norm: 3.7338 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7284 loss: 1.7284 2022/08/08 20:38:13 - mmengine - INFO - Epoch(train) [12][1280/1879] lr: 2.0000e-02 eta: 12:21:02 time: 0.6400 data_time: 0.0210 memory: 13723 grad_norm: 3.7579 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8544 loss: 1.8544 2022/08/08 20:38:25 - mmengine - INFO - Epoch(train) [12][1300/1879] lr: 2.0000e-02 eta: 12:20:48 time: 0.5878 data_time: 0.0241 memory: 13723 grad_norm: 3.7193 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6667 loss: 1.6667 2022/08/08 20:38:37 - mmengine - INFO - Epoch(train) [12][1320/1879] lr: 2.0000e-02 eta: 12:20:33 time: 0.5819 data_time: 0.0229 memory: 13723 grad_norm: 3.8023 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7632 loss: 1.7632 2022/08/08 20:38:43 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 20:38:48 - mmengine - INFO - Epoch(train) [12][1340/1879] lr: 2.0000e-02 eta: 12:20:18 time: 0.5729 data_time: 0.0239 memory: 13723 grad_norm: 3.8822 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6578 loss: 1.6578 2022/08/08 20:39:00 - mmengine - INFO - Epoch(train) [12][1360/1879] lr: 2.0000e-02 eta: 12:20:03 time: 0.5747 data_time: 0.0259 memory: 13723 grad_norm: 3.7950 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6961 loss: 1.6961 2022/08/08 20:39:12 - mmengine - INFO - Epoch(train) [12][1380/1879] lr: 2.0000e-02 eta: 12:19:48 time: 0.5883 data_time: 0.0245 memory: 13723 grad_norm: 3.8363 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7129 loss: 1.7129 2022/08/08 20:39:23 - mmengine - INFO - Epoch(train) [12][1400/1879] lr: 2.0000e-02 eta: 12:19:33 time: 0.5761 data_time: 0.0234 memory: 13723 grad_norm: 3.7606 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7719 loss: 1.7719 2022/08/08 20:39:36 - mmengine - INFO - Epoch(train) [12][1420/1879] lr: 2.0000e-02 eta: 12:19:22 time: 0.6373 data_time: 0.0232 memory: 13723 grad_norm: 3.8791 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7449 loss: 1.7449 2022/08/08 20:39:47 - mmengine - INFO - Epoch(train) [12][1440/1879] lr: 2.0000e-02 eta: 12:19:07 time: 0.5707 data_time: 0.0219 memory: 13723 grad_norm: 3.6915 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9078 loss: 1.9078 2022/08/08 20:40:00 - mmengine - INFO - Epoch(train) [12][1460/1879] lr: 2.0000e-02 eta: 12:18:55 time: 0.6269 data_time: 0.0218 memory: 13723 grad_norm: 3.8056 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8364 loss: 1.8364 2022/08/08 20:40:12 - mmengine - INFO - Epoch(train) [12][1480/1879] lr: 2.0000e-02 eta: 12:18:44 time: 0.6299 data_time: 0.0227 memory: 13723 grad_norm: 3.7691 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8822 loss: 1.8822 2022/08/08 20:40:26 - mmengine - INFO - Epoch(train) [12][1500/1879] lr: 2.0000e-02 eta: 12:18:37 time: 0.7005 data_time: 0.0200 memory: 13723 grad_norm: 3.7476 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7534 loss: 1.7534 2022/08/08 20:40:39 - mmengine - INFO - Epoch(train) [12][1520/1879] lr: 2.0000e-02 eta: 12:18:24 time: 0.6086 data_time: 0.0231 memory: 13723 grad_norm: 3.7059 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9015 loss: 1.9015 2022/08/08 20:40:51 - mmengine - INFO - Epoch(train) [12][1540/1879] lr: 2.0000e-02 eta: 12:18:12 time: 0.6235 data_time: 0.0206 memory: 13723 grad_norm: 3.7453 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7433 loss: 1.7433 2022/08/08 20:41:03 - mmengine - INFO - Epoch(train) [12][1560/1879] lr: 2.0000e-02 eta: 12:17:57 time: 0.5744 data_time: 0.0248 memory: 13723 grad_norm: 3.7307 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7709 loss: 1.7709 2022/08/08 20:41:14 - mmengine - INFO - Epoch(train) [12][1580/1879] lr: 2.0000e-02 eta: 12:17:42 time: 0.5795 data_time: 0.0238 memory: 13723 grad_norm: 3.8703 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6445 loss: 1.6445 2022/08/08 20:41:26 - mmengine - INFO - Epoch(train) [12][1600/1879] lr: 2.0000e-02 eta: 12:17:27 time: 0.5823 data_time: 0.0268 memory: 13723 grad_norm: 3.8153 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8686 loss: 1.8686 2022/08/08 20:41:38 - mmengine - INFO - Epoch(train) [12][1620/1879] lr: 2.0000e-02 eta: 12:17:13 time: 0.5846 data_time: 0.0212 memory: 13723 grad_norm: 3.7404 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7086 loss: 1.7086 2022/08/08 20:41:49 - mmengine - INFO - Epoch(train) [12][1640/1879] lr: 2.0000e-02 eta: 12:16:58 time: 0.5814 data_time: 0.0246 memory: 13723 grad_norm: 3.8312 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7202 loss: 1.7202 2022/08/08 20:42:01 - mmengine - INFO - Epoch(train) [12][1660/1879] lr: 2.0000e-02 eta: 12:16:44 time: 0.5935 data_time: 0.0236 memory: 13723 grad_norm: 3.8548 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8149 loss: 1.8149 2022/08/08 20:42:14 - mmengine - INFO - Epoch(train) [12][1680/1879] lr: 2.0000e-02 eta: 12:16:35 time: 0.6616 data_time: 0.0231 memory: 13723 grad_norm: 3.8680 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6654 loss: 1.6654 2022/08/08 20:42:28 - mmengine - INFO - Epoch(train) [12][1700/1879] lr: 2.0000e-02 eta: 12:16:28 time: 0.6980 data_time: 0.0192 memory: 13723 grad_norm: 3.7736 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7355 loss: 1.7355 2022/08/08 20:42:40 - mmengine - INFO - Epoch(train) [12][1720/1879] lr: 2.0000e-02 eta: 12:16:12 time: 0.5714 data_time: 0.0202 memory: 13723 grad_norm: 3.6605 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5986 loss: 1.5986 2022/08/08 20:42:53 - mmengine - INFO - Epoch(train) [12][1740/1879] lr: 2.0000e-02 eta: 12:16:05 time: 0.6886 data_time: 0.0207 memory: 13723 grad_norm: 3.7767 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7015 loss: 1.7015 2022/08/08 20:43:05 - mmengine - INFO - Epoch(train) [12][1760/1879] lr: 2.0000e-02 eta: 12:15:50 time: 0.5824 data_time: 0.0234 memory: 13723 grad_norm: 3.8430 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7514 loss: 1.7514 2022/08/08 20:43:17 - mmengine - INFO - Epoch(train) [12][1780/1879] lr: 2.0000e-02 eta: 12:15:36 time: 0.5840 data_time: 0.0237 memory: 13723 grad_norm: 3.7381 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.9522 loss: 1.9522 2022/08/08 20:43:29 - mmengine - INFO - Epoch(train) [12][1800/1879] lr: 2.0000e-02 eta: 12:15:22 time: 0.5957 data_time: 0.0220 memory: 13723 grad_norm: 3.7517 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6516 loss: 1.6516 2022/08/08 20:43:42 - mmengine - INFO - Epoch(train) [12][1820/1879] lr: 2.0000e-02 eta: 12:15:11 time: 0.6419 data_time: 0.0208 memory: 13723 grad_norm: 3.8293 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9059 loss: 1.9059 2022/08/08 20:43:53 - mmengine - INFO - Epoch(train) [12][1840/1879] lr: 2.0000e-02 eta: 12:14:56 time: 0.5742 data_time: 0.0237 memory: 13723 grad_norm: 3.7354 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8106 loss: 1.8106 2022/08/08 20:44:05 - mmengine - INFO - Epoch(train) [12][1860/1879] lr: 2.0000e-02 eta: 12:14:43 time: 0.6115 data_time: 0.0216 memory: 13723 grad_norm: 3.7254 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7195 loss: 1.7195 2022/08/08 20:44:15 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 20:44:15 - mmengine - INFO - Epoch(train) [12][1879/1879] lr: 2.0000e-02 eta: 12:14:43 time: 0.5333 data_time: 0.0188 memory: 13723 grad_norm: 3.8147 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.6819 loss: 1.6819 2022/08/08 20:44:15 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/08/08 20:44:31 - mmengine - INFO - Epoch(val) [12][20/155] eta: 0:01:31 time: 0.6769 data_time: 0.5373 memory: 1829 2022/08/08 20:44:39 - mmengine - INFO - Epoch(val) [12][40/155] eta: 0:00:47 time: 0.4144 data_time: 0.2749 memory: 1829 2022/08/08 20:44:51 - mmengine - INFO - Epoch(val) [12][60/155] eta: 0:00:57 time: 0.6034 data_time: 0.4644 memory: 1829 2022/08/08 20:44:59 - mmengine - INFO - Epoch(val) [12][80/155] eta: 0:00:31 time: 0.4143 data_time: 0.2755 memory: 1829 2022/08/08 20:45:13 - mmengine - INFO - Epoch(val) [12][100/155] eta: 0:00:37 time: 0.6853 data_time: 0.5463 memory: 1829 2022/08/08 20:45:24 - mmengine - INFO - Epoch(val) [12][120/155] eta: 0:00:19 time: 0.5501 data_time: 0.4094 memory: 1829 2022/08/08 20:45:39 - mmengine - INFO - Epoch(val) [12][140/155] eta: 0:00:11 time: 0.7414 data_time: 0.6039 memory: 1829 2022/08/08 20:45:51 - mmengine - INFO - Epoch(val) [12][155/155] acc/top1: 0.5730 acc/top5: 0.8179 acc/mean1: 0.5728 2022/08/08 20:46:09 - mmengine - INFO - Epoch(train) [13][20/1879] lr: 2.0000e-02 eta: 12:14:01 time: 0.9222 data_time: 0.2400 memory: 13723 grad_norm: 3.7457 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7574 loss: 1.7574 2022/08/08 20:46:21 - mmengine - INFO - Epoch(train) [13][40/1879] lr: 2.0000e-02 eta: 12:13:47 time: 0.5802 data_time: 0.0243 memory: 13723 grad_norm: 3.7880 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7942 loss: 1.7942 2022/08/08 20:46:35 - mmengine - INFO - Epoch(train) [13][60/1879] lr: 2.0000e-02 eta: 12:13:41 time: 0.7155 data_time: 0.0216 memory: 13723 grad_norm: 3.7062 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7841 loss: 1.7841 2022/08/08 20:46:46 - mmengine - INFO - Epoch(train) [13][80/1879] lr: 2.0000e-02 eta: 12:13:25 time: 0.5650 data_time: 0.0230 memory: 13723 grad_norm: 3.7936 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5736 loss: 1.5736 2022/08/08 20:46:58 - mmengine - INFO - Epoch(train) [13][100/1879] lr: 2.0000e-02 eta: 12:13:10 time: 0.5776 data_time: 0.0227 memory: 13723 grad_norm: 3.9243 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5341 loss: 1.5341 2022/08/08 20:47:09 - mmengine - INFO - Epoch(train) [13][120/1879] lr: 2.0000e-02 eta: 12:12:55 time: 0.5713 data_time: 0.0251 memory: 13723 grad_norm: 3.7045 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6405 loss: 1.6405 2022/08/08 20:47:21 - mmengine - INFO - Epoch(train) [13][140/1879] lr: 2.0000e-02 eta: 12:12:40 time: 0.5800 data_time: 0.0240 memory: 13723 grad_norm: 3.7401 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7677 loss: 1.7677 2022/08/08 20:47:33 - mmengine - INFO - Epoch(train) [13][160/1879] lr: 2.0000e-02 eta: 12:12:25 time: 0.5773 data_time: 0.0232 memory: 13723 grad_norm: 3.8424 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8080 loss: 1.8080 2022/08/08 20:47:44 - mmengine - INFO - Epoch(train) [13][180/1879] lr: 2.0000e-02 eta: 12:12:12 time: 0.5920 data_time: 0.0240 memory: 13723 grad_norm: 3.7864 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6382 loss: 1.6382 2022/08/08 20:47:56 - mmengine - INFO - Epoch(train) [13][200/1879] lr: 2.0000e-02 eta: 12:11:57 time: 0.5797 data_time: 0.0228 memory: 13723 grad_norm: 3.7766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6478 loss: 1.6478 2022/08/08 20:48:08 - mmengine - INFO - Epoch(train) [13][220/1879] lr: 2.0000e-02 eta: 12:11:45 time: 0.6230 data_time: 0.0219 memory: 13723 grad_norm: 3.8116 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6344 loss: 1.6344 2022/08/08 20:48:20 - mmengine - INFO - Epoch(train) [13][240/1879] lr: 2.0000e-02 eta: 12:11:30 time: 0.5795 data_time: 0.0236 memory: 13723 grad_norm: 3.7966 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5960 loss: 1.5960 2022/08/08 20:48:32 - mmengine - INFO - Epoch(train) [13][260/1879] lr: 2.0000e-02 eta: 12:11:16 time: 0.5935 data_time: 0.0241 memory: 13723 grad_norm: 3.7574 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.5819 loss: 1.5819 2022/08/08 20:48:44 - mmengine - INFO - Epoch(train) [13][280/1879] lr: 2.0000e-02 eta: 12:11:02 time: 0.5804 data_time: 0.0224 memory: 13723 grad_norm: 3.7727 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7444 loss: 1.7444 2022/08/08 20:48:59 - mmengine - INFO - Epoch(train) [13][300/1879] lr: 2.0000e-02 eta: 12:10:58 time: 0.7510 data_time: 0.0211 memory: 13723 grad_norm: 3.8238 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.8396 loss: 1.8396 2022/08/08 20:49:10 - mmengine - INFO - Epoch(train) [13][320/1879] lr: 2.0000e-02 eta: 12:10:42 time: 0.5668 data_time: 0.0206 memory: 13723 grad_norm: 3.7954 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8102 loss: 1.8102 2022/08/08 20:49:23 - mmengine - INFO - Epoch(train) [13][340/1879] lr: 2.0000e-02 eta: 12:10:33 time: 0.6593 data_time: 0.0220 memory: 13723 grad_norm: 3.7418 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7129 loss: 1.7129 2022/08/08 20:49:35 - mmengine - INFO - Epoch(train) [13][360/1879] lr: 2.0000e-02 eta: 12:10:18 time: 0.5725 data_time: 0.0219 memory: 13723 grad_norm: 3.8269 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6291 loss: 1.6291 2022/08/08 20:49:46 - mmengine - INFO - Epoch(train) [13][380/1879] lr: 2.0000e-02 eta: 12:10:02 time: 0.5709 data_time: 0.0246 memory: 13723 grad_norm: 3.9119 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9117 loss: 1.9117 2022/08/08 20:49:58 - mmengine - INFO - Epoch(train) [13][400/1879] lr: 2.0000e-02 eta: 12:09:48 time: 0.5878 data_time: 0.0278 memory: 13723 grad_norm: 3.7885 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8385 loss: 1.8385 2022/08/08 20:50:09 - mmengine - INFO - Epoch(train) [13][420/1879] lr: 2.0000e-02 eta: 12:09:34 time: 0.5841 data_time: 0.0262 memory: 13723 grad_norm: 3.7781 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9602 loss: 1.9602 2022/08/08 20:50:22 - mmengine - INFO - Epoch(train) [13][440/1879] lr: 2.0000e-02 eta: 12:09:23 time: 0.6445 data_time: 0.0231 memory: 13723 grad_norm: 3.8455 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7046 loss: 1.7046 2022/08/08 20:50:30 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 20:50:34 - mmengine - INFO - Epoch(train) [13][460/1879] lr: 2.0000e-02 eta: 12:09:10 time: 0.5957 data_time: 0.0233 memory: 13723 grad_norm: 3.7969 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5944 loss: 1.5944 2022/08/08 20:50:46 - mmengine - INFO - Epoch(train) [13][480/1879] lr: 2.0000e-02 eta: 12:08:55 time: 0.5701 data_time: 0.0246 memory: 13723 grad_norm: 3.8490 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6043 loss: 1.6043 2022/08/08 20:50:57 - mmengine - INFO - Epoch(train) [13][500/1879] lr: 2.0000e-02 eta: 12:08:39 time: 0.5656 data_time: 0.0255 memory: 13723 grad_norm: 3.8738 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7899 loss: 1.7899 2022/08/08 20:51:08 - mmengine - INFO - Epoch(train) [13][520/1879] lr: 2.0000e-02 eta: 12:08:24 time: 0.5701 data_time: 0.0266 memory: 13723 grad_norm: 3.8415 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7524 loss: 1.7524 2022/08/08 20:51:22 - mmengine - INFO - Epoch(train) [13][540/1879] lr: 2.0000e-02 eta: 12:08:17 time: 0.7060 data_time: 0.0207 memory: 13723 grad_norm: 3.8434 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5587 loss: 1.5587 2022/08/08 20:51:35 - mmengine - INFO - Epoch(train) [13][560/1879] lr: 2.0000e-02 eta: 12:08:05 time: 0.6242 data_time: 0.0231 memory: 13723 grad_norm: 3.8664 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6503 loss: 1.6503 2022/08/08 20:51:48 - mmengine - INFO - Epoch(train) [13][580/1879] lr: 2.0000e-02 eta: 12:07:54 time: 0.6303 data_time: 0.0185 memory: 13723 grad_norm: 3.7254 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8199 loss: 1.8199 2022/08/08 20:51:59 - mmengine - INFO - Epoch(train) [13][600/1879] lr: 2.0000e-02 eta: 12:07:39 time: 0.5777 data_time: 0.0247 memory: 13723 grad_norm: 3.7885 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6748 loss: 1.6748 2022/08/08 20:52:11 - mmengine - INFO - Epoch(train) [13][620/1879] lr: 2.0000e-02 eta: 12:07:25 time: 0.5873 data_time: 0.0244 memory: 13723 grad_norm: 3.8182 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8567 loss: 1.8567 2022/08/08 20:52:24 - mmengine - INFO - Epoch(train) [13][640/1879] lr: 2.0000e-02 eta: 12:07:15 time: 0.6646 data_time: 0.0213 memory: 13723 grad_norm: 3.6875 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7162 loss: 1.7162 2022/08/08 20:52:36 - mmengine - INFO - Epoch(train) [13][660/1879] lr: 2.0000e-02 eta: 12:07:01 time: 0.5765 data_time: 0.0247 memory: 13723 grad_norm: 3.6996 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7131 loss: 1.7131 2022/08/08 20:52:47 - mmengine - INFO - Epoch(train) [13][680/1879] lr: 2.0000e-02 eta: 12:06:46 time: 0.5792 data_time: 0.0238 memory: 13723 grad_norm: 3.8268 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.8757 loss: 1.8757 2022/08/08 20:52:59 - mmengine - INFO - Epoch(train) [13][700/1879] lr: 2.0000e-02 eta: 12:06:32 time: 0.5844 data_time: 0.0234 memory: 13723 grad_norm: 3.8392 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8843 loss: 1.8843 2022/08/08 20:53:11 - mmengine - INFO - Epoch(train) [13][720/1879] lr: 2.0000e-02 eta: 12:06:17 time: 0.5812 data_time: 0.0234 memory: 13723 grad_norm: 3.6821 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9118 loss: 1.9118 2022/08/08 20:53:22 - mmengine - INFO - Epoch(train) [13][740/1879] lr: 2.0000e-02 eta: 12:06:03 time: 0.5850 data_time: 0.0233 memory: 13723 grad_norm: 3.7987 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.7538 loss: 1.7538 2022/08/08 20:53:34 - mmengine - INFO - Epoch(train) [13][760/1879] lr: 2.0000e-02 eta: 12:05:49 time: 0.5877 data_time: 0.0238 memory: 13723 grad_norm: 3.7840 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8195 loss: 1.8195 2022/08/08 20:53:46 - mmengine - INFO - Epoch(train) [13][780/1879] lr: 2.0000e-02 eta: 12:05:35 time: 0.5851 data_time: 0.0231 memory: 13723 grad_norm: 3.8092 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7489 loss: 1.7489 2022/08/08 20:53:57 - mmengine - INFO - Epoch(train) [13][800/1879] lr: 2.0000e-02 eta: 12:05:20 time: 0.5793 data_time: 0.0263 memory: 13723 grad_norm: 3.8115 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6998 loss: 1.6998 2022/08/08 20:54:10 - mmengine - INFO - Epoch(train) [13][820/1879] lr: 2.0000e-02 eta: 12:05:08 time: 0.6181 data_time: 0.0242 memory: 13723 grad_norm: 3.7671 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8286 loss: 1.8286 2022/08/08 20:54:21 - mmengine - INFO - Epoch(train) [13][840/1879] lr: 2.0000e-02 eta: 12:04:54 time: 0.5844 data_time: 0.0229 memory: 13723 grad_norm: 3.7669 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.5189 loss: 1.5189 2022/08/08 20:54:36 - mmengine - INFO - Epoch(train) [13][860/1879] lr: 2.0000e-02 eta: 12:04:48 time: 0.7223 data_time: 0.0235 memory: 13723 grad_norm: 3.7329 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7396 loss: 1.7396 2022/08/08 20:54:49 - mmengine - INFO - Epoch(train) [13][880/1879] lr: 2.0000e-02 eta: 12:04:38 time: 0.6637 data_time: 0.0180 memory: 13723 grad_norm: 3.8151 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6474 loss: 1.6474 2022/08/08 20:55:01 - mmengine - INFO - Epoch(train) [13][900/1879] lr: 2.0000e-02 eta: 12:04:23 time: 0.5732 data_time: 0.0224 memory: 13723 grad_norm: 3.7887 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.6464 loss: 1.6464 2022/08/08 20:55:15 - mmengine - INFO - Epoch(train) [13][920/1879] lr: 2.0000e-02 eta: 12:04:16 time: 0.6943 data_time: 0.0245 memory: 13723 grad_norm: 3.8402 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7483 loss: 1.7483 2022/08/08 20:55:26 - mmengine - INFO - Epoch(train) [13][940/1879] lr: 2.0000e-02 eta: 12:04:01 time: 0.5731 data_time: 0.0228 memory: 13723 grad_norm: 3.7575 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8956 loss: 1.8956 2022/08/08 20:55:39 - mmengine - INFO - Epoch(train) [13][960/1879] lr: 2.0000e-02 eta: 12:03:52 time: 0.6743 data_time: 0.0217 memory: 13723 grad_norm: 3.7869 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7835 loss: 1.7835 2022/08/08 20:55:53 - mmengine - INFO - Epoch(train) [13][980/1879] lr: 2.0000e-02 eta: 12:03:44 time: 0.6896 data_time: 0.0224 memory: 13723 grad_norm: 3.8286 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6845 loss: 1.6845 2022/08/08 20:56:05 - mmengine - INFO - Epoch(train) [13][1000/1879] lr: 2.0000e-02 eta: 12:03:29 time: 0.5741 data_time: 0.0228 memory: 13723 grad_norm: 3.7864 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6863 loss: 1.6863 2022/08/08 20:56:16 - mmengine - INFO - Epoch(train) [13][1020/1879] lr: 2.0000e-02 eta: 12:03:14 time: 0.5748 data_time: 0.0236 memory: 13723 grad_norm: 3.8058 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6431 loss: 1.6431 2022/08/08 20:56:28 - mmengine - INFO - Epoch(train) [13][1040/1879] lr: 2.0000e-02 eta: 12:03:00 time: 0.5860 data_time: 0.0237 memory: 13723 grad_norm: 3.6971 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6917 loss: 1.6917 2022/08/08 20:56:40 - mmengine - INFO - Epoch(train) [13][1060/1879] lr: 2.0000e-02 eta: 12:02:46 time: 0.5886 data_time: 0.0232 memory: 13723 grad_norm: 3.7621 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6516 loss: 1.6516 2022/08/08 20:56:52 - mmengine - INFO - Epoch(train) [13][1080/1879] lr: 2.0000e-02 eta: 12:02:32 time: 0.5919 data_time: 0.0245 memory: 13723 grad_norm: 3.7207 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7474 loss: 1.7474 2022/08/08 20:57:03 - mmengine - INFO - Epoch(train) [13][1100/1879] lr: 2.0000e-02 eta: 12:02:18 time: 0.5833 data_time: 0.0245 memory: 13723 grad_norm: 3.8107 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7741 loss: 1.7741 2022/08/08 20:57:18 - mmengine - INFO - Epoch(train) [13][1120/1879] lr: 2.0000e-02 eta: 12:02:11 time: 0.7118 data_time: 0.0202 memory: 13723 grad_norm: 3.8141 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6301 loss: 1.6301 2022/08/08 20:57:31 - mmengine - INFO - Epoch(train) [13][1140/1879] lr: 2.0000e-02 eta: 12:02:02 time: 0.6733 data_time: 0.0194 memory: 13723 grad_norm: 3.8213 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6918 loss: 1.6918 2022/08/08 20:57:42 - mmengine - INFO - Epoch(train) [13][1160/1879] lr: 2.0000e-02 eta: 12:01:47 time: 0.5735 data_time: 0.0222 memory: 13723 grad_norm: 3.6747 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9503 loss: 1.9503 2022/08/08 20:57:54 - mmengine - INFO - Epoch(train) [13][1180/1879] lr: 2.0000e-02 eta: 12:01:33 time: 0.5775 data_time: 0.0235 memory: 13723 grad_norm: 3.8301 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7658 loss: 1.7658 2022/08/08 20:58:06 - mmengine - INFO - Epoch(train) [13][1200/1879] lr: 2.0000e-02 eta: 12:01:21 time: 0.6206 data_time: 0.0216 memory: 13723 grad_norm: 3.7647 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.6015 loss: 1.6015 2022/08/08 20:58:21 - mmengine - INFO - Epoch(train) [13][1220/1879] lr: 2.0000e-02 eta: 12:01:15 time: 0.7265 data_time: 0.0203 memory: 13723 grad_norm: 3.8718 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7860 loss: 1.7860 2022/08/08 20:58:33 - mmengine - INFO - Epoch(train) [13][1240/1879] lr: 2.0000e-02 eta: 12:01:01 time: 0.5919 data_time: 0.0235 memory: 13723 grad_norm: 3.7537 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.6267 loss: 1.6267 2022/08/08 20:58:46 - mmengine - INFO - Epoch(train) [13][1260/1879] lr: 2.0000e-02 eta: 12:00:50 time: 0.6372 data_time: 0.0217 memory: 13723 grad_norm: 3.7479 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5816 loss: 1.5816 2022/08/08 20:58:58 - mmengine - INFO - Epoch(train) [13][1280/1879] lr: 2.0000e-02 eta: 12:00:37 time: 0.6103 data_time: 0.0255 memory: 13723 grad_norm: 3.7975 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6705 loss: 1.6705 2022/08/08 20:59:10 - mmengine - INFO - Epoch(train) [13][1300/1879] lr: 2.0000e-02 eta: 12:00:23 time: 0.5894 data_time: 0.0232 memory: 13723 grad_norm: 3.7729 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5914 loss: 1.5914 2022/08/08 20:59:21 - mmengine - INFO - Epoch(train) [13][1320/1879] lr: 2.0000e-02 eta: 12:00:09 time: 0.5839 data_time: 0.0239 memory: 13723 grad_norm: 3.7200 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5988 loss: 1.5988 2022/08/08 20:59:33 - mmengine - INFO - Epoch(train) [13][1340/1879] lr: 2.0000e-02 eta: 11:59:55 time: 0.5810 data_time: 0.0250 memory: 13723 grad_norm: 3.7842 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7896 loss: 1.7896 2022/08/08 20:59:44 - mmengine - INFO - Epoch(train) [13][1360/1879] lr: 2.0000e-02 eta: 11:59:40 time: 0.5791 data_time: 0.0240 memory: 13723 grad_norm: 3.6674 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9086 loss: 1.9086 2022/08/08 20:59:56 - mmengine - INFO - Epoch(train) [13][1380/1879] lr: 2.0000e-02 eta: 11:59:26 time: 0.5870 data_time: 0.0234 memory: 13723 grad_norm: 3.7593 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6313 loss: 1.6313 2022/08/08 21:00:15 - mmengine - INFO - Epoch(train) [13][1400/1879] lr: 2.0000e-02 eta: 11:59:33 time: 0.9442 data_time: 0.0217 memory: 13723 grad_norm: 3.8295 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7849 loss: 1.7849 2022/08/08 21:00:29 - mmengine - INFO - Epoch(train) [13][1420/1879] lr: 2.0000e-02 eta: 11:59:25 time: 0.6950 data_time: 0.0208 memory: 13723 grad_norm: 3.6820 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7422 loss: 1.7422 2022/08/08 21:00:40 - mmengine - INFO - Epoch(train) [13][1440/1879] lr: 2.0000e-02 eta: 11:59:10 time: 0.5670 data_time: 0.0221 memory: 13723 grad_norm: 3.7943 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6869 loss: 1.6869 2022/08/08 21:00:47 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 21:00:52 - mmengine - INFO - Epoch(train) [13][1460/1879] lr: 2.0000e-02 eta: 11:58:56 time: 0.5872 data_time: 0.0260 memory: 13723 grad_norm: 3.8454 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6843 loss: 1.6843 2022/08/08 21:01:04 - mmengine - INFO - Epoch(train) [13][1480/1879] lr: 2.0000e-02 eta: 11:58:43 time: 0.6146 data_time: 0.0239 memory: 13723 grad_norm: 3.7263 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5804 loss: 1.5804 2022/08/08 21:01:17 - mmengine - INFO - Epoch(train) [13][1500/1879] lr: 2.0000e-02 eta: 11:58:33 time: 0.6511 data_time: 0.0223 memory: 13723 grad_norm: 3.7877 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5150 loss: 1.5150 2022/08/08 21:01:30 - mmengine - INFO - Epoch(train) [13][1520/1879] lr: 2.0000e-02 eta: 11:58:22 time: 0.6326 data_time: 0.0213 memory: 13723 grad_norm: 3.7269 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6355 loss: 1.6355 2022/08/08 21:01:41 - mmengine - INFO - Epoch(train) [13][1540/1879] lr: 2.0000e-02 eta: 11:58:07 time: 0.5711 data_time: 0.0220 memory: 13723 grad_norm: 3.8074 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7425 loss: 1.7425 2022/08/08 21:01:53 - mmengine - INFO - Epoch(train) [13][1560/1879] lr: 2.0000e-02 eta: 11:57:52 time: 0.5702 data_time: 0.0245 memory: 13723 grad_norm: 3.7589 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7759 loss: 1.7759 2022/08/08 21:02:05 - mmengine - INFO - Epoch(train) [13][1580/1879] lr: 2.0000e-02 eta: 11:57:39 time: 0.6210 data_time: 0.0214 memory: 13723 grad_norm: 3.6928 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7731 loss: 1.7731 2022/08/08 21:02:17 - mmengine - INFO - Epoch(train) [13][1600/1879] lr: 2.0000e-02 eta: 11:57:25 time: 0.5809 data_time: 0.0233 memory: 13723 grad_norm: 3.6868 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6997 loss: 1.6997 2022/08/08 21:02:29 - mmengine - INFO - Epoch(train) [13][1620/1879] lr: 2.0000e-02 eta: 11:57:12 time: 0.6010 data_time: 0.0241 memory: 13723 grad_norm: 3.6929 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7226 loss: 1.7226 2022/08/08 21:02:42 - mmengine - INFO - Epoch(train) [13][1640/1879] lr: 2.0000e-02 eta: 11:57:00 time: 0.6278 data_time: 0.0218 memory: 13723 grad_norm: 3.9267 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8285 loss: 1.8285 2022/08/08 21:02:54 - mmengine - INFO - Epoch(train) [13][1660/1879] lr: 2.0000e-02 eta: 11:56:47 time: 0.6070 data_time: 0.0218 memory: 13723 grad_norm: 3.7272 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7591 loss: 1.7591 2022/08/08 21:03:05 - mmengine - INFO - Epoch(train) [13][1680/1879] lr: 2.0000e-02 eta: 11:56:33 time: 0.5790 data_time: 0.0292 memory: 13723 grad_norm: 3.7356 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7749 loss: 1.7749 2022/08/08 21:03:17 - mmengine - INFO - Epoch(train) [13][1700/1879] lr: 2.0000e-02 eta: 11:56:19 time: 0.5890 data_time: 0.0423 memory: 13723 grad_norm: 3.7936 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9226 loss: 1.9226 2022/08/08 21:03:28 - mmengine - INFO - Epoch(train) [13][1720/1879] lr: 2.0000e-02 eta: 11:56:04 time: 0.5690 data_time: 0.0234 memory: 13723 grad_norm: 3.8333 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7669 loss: 1.7669 2022/08/08 21:03:41 - mmengine - INFO - Epoch(train) [13][1740/1879] lr: 2.0000e-02 eta: 11:55:51 time: 0.6061 data_time: 0.0237 memory: 13723 grad_norm: 3.8031 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6662 loss: 1.6662 2022/08/08 21:03:52 - mmengine - INFO - Epoch(train) [13][1760/1879] lr: 2.0000e-02 eta: 11:55:37 time: 0.5959 data_time: 0.0230 memory: 13723 grad_norm: 3.8237 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7168 loss: 1.7168 2022/08/08 21:04:05 - mmengine - INFO - Epoch(train) [13][1780/1879] lr: 2.0000e-02 eta: 11:55:25 time: 0.6205 data_time: 0.0226 memory: 13723 grad_norm: 3.6181 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7925 loss: 1.7925 2022/08/08 21:04:18 - mmengine - INFO - Epoch(train) [13][1800/1879] lr: 2.0000e-02 eta: 11:55:16 time: 0.6635 data_time: 0.0207 memory: 13723 grad_norm: 3.7360 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9102 loss: 1.9102 2022/08/08 21:04:30 - mmengine - INFO - Epoch(train) [13][1820/1879] lr: 2.0000e-02 eta: 11:55:01 time: 0.5812 data_time: 0.0226 memory: 13723 grad_norm: 3.7904 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.7411 loss: 1.7411 2022/08/08 21:04:42 - mmengine - INFO - Epoch(train) [13][1840/1879] lr: 2.0000e-02 eta: 11:54:49 time: 0.6191 data_time: 0.0216 memory: 13723 grad_norm: 3.8173 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7757 loss: 1.7757 2022/08/08 21:04:55 - mmengine - INFO - Epoch(train) [13][1860/1879] lr: 2.0000e-02 eta: 11:54:39 time: 0.6499 data_time: 0.0219 memory: 13723 grad_norm: 3.7029 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7774 loss: 1.7774 2022/08/08 21:05:05 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 21:05:05 - mmengine - INFO - Epoch(train) [13][1879/1879] lr: 2.0000e-02 eta: 11:54:39 time: 0.5326 data_time: 0.0174 memory: 13723 grad_norm: 3.9109 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.7879 loss: 1.7879 2022/08/08 21:05:22 - mmengine - INFO - Epoch(val) [13][20/155] eta: 0:01:55 time: 0.8592 data_time: 0.7190 memory: 1829 2022/08/08 21:05:32 - mmengine - INFO - Epoch(val) [13][40/155] eta: 0:00:53 time: 0.4642 data_time: 0.3243 memory: 1829 2022/08/08 21:05:43 - mmengine - INFO - Epoch(val) [13][60/155] eta: 0:00:51 time: 0.5375 data_time: 0.3983 memory: 1829 2022/08/08 21:05:51 - mmengine - INFO - Epoch(val) [13][80/155] eta: 0:00:32 time: 0.4286 data_time: 0.2895 memory: 1829 2022/08/08 21:06:02 - mmengine - INFO - Epoch(val) [13][100/155] eta: 0:00:31 time: 0.5695 data_time: 0.4307 memory: 1829 2022/08/08 21:06:11 - mmengine - INFO - Epoch(val) [13][120/155] eta: 0:00:15 time: 0.4487 data_time: 0.3086 memory: 1829 2022/08/08 21:06:23 - mmengine - INFO - Epoch(val) [13][140/155] eta: 0:00:08 time: 0.5988 data_time: 0.4594 memory: 1829 2022/08/08 21:06:45 - mmengine - INFO - Epoch(val) [13][155/155] acc/top1: 0.5850 acc/top5: 0.8288 acc/mean1: 0.5847 2022/08/08 21:07:03 - mmengine - INFO - Epoch(train) [14][20/1879] lr: 2.0000e-02 eta: 11:53:58 time: 0.9114 data_time: 0.2010 memory: 13723 grad_norm: 3.6234 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6738 loss: 1.6738 2022/08/08 21:07:15 - mmengine - INFO - Epoch(train) [14][40/1879] lr: 2.0000e-02 eta: 11:53:46 time: 0.6166 data_time: 0.0231 memory: 13723 grad_norm: 3.8486 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6975 loss: 1.6975 2022/08/08 21:07:27 - mmengine - INFO - Epoch(train) [14][60/1879] lr: 2.0000e-02 eta: 11:53:31 time: 0.5817 data_time: 0.0226 memory: 13723 grad_norm: 3.7466 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7494 loss: 1.7494 2022/08/08 21:07:40 - mmengine - INFO - Epoch(train) [14][80/1879] lr: 2.0000e-02 eta: 11:53:21 time: 0.6511 data_time: 0.0298 memory: 13723 grad_norm: 3.7545 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6670 loss: 1.6670 2022/08/08 21:07:51 - mmengine - INFO - Epoch(train) [14][100/1879] lr: 2.0000e-02 eta: 11:53:07 time: 0.5783 data_time: 0.0209 memory: 13723 grad_norm: 3.7573 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0460 loss: 2.0460 2022/08/08 21:08:03 - mmengine - INFO - Epoch(train) [14][120/1879] lr: 2.0000e-02 eta: 11:52:52 time: 0.5740 data_time: 0.0241 memory: 13723 grad_norm: 3.8229 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6429 loss: 1.6429 2022/08/08 21:08:15 - mmengine - INFO - Epoch(train) [14][140/1879] lr: 2.0000e-02 eta: 11:52:38 time: 0.5821 data_time: 0.0245 memory: 13723 grad_norm: 3.9342 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6675 loss: 1.6675 2022/08/08 21:08:26 - mmengine - INFO - Epoch(train) [14][160/1879] lr: 2.0000e-02 eta: 11:52:23 time: 0.5804 data_time: 0.0232 memory: 13723 grad_norm: 3.8146 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8947 loss: 1.8947 2022/08/08 21:08:38 - mmengine - INFO - Epoch(train) [14][180/1879] lr: 2.0000e-02 eta: 11:52:09 time: 0.5819 data_time: 0.0226 memory: 13723 grad_norm: 3.7448 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6060 loss: 1.6060 2022/08/08 21:08:49 - mmengine - INFO - Epoch(train) [14][200/1879] lr: 2.0000e-02 eta: 11:51:55 time: 0.5803 data_time: 0.0249 memory: 13723 grad_norm: 3.7375 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7265 loss: 1.7265 2022/08/08 21:09:01 - mmengine - INFO - Epoch(train) [14][220/1879] lr: 2.0000e-02 eta: 11:51:40 time: 0.5723 data_time: 0.0235 memory: 13723 grad_norm: 3.7311 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5519 loss: 1.5519 2022/08/08 21:09:14 - mmengine - INFO - Epoch(train) [14][240/1879] lr: 2.0000e-02 eta: 11:51:30 time: 0.6520 data_time: 0.0234 memory: 13723 grad_norm: 3.8655 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6616 loss: 1.6616 2022/08/08 21:09:26 - mmengine - INFO - Epoch(train) [14][260/1879] lr: 2.0000e-02 eta: 11:51:15 time: 0.5787 data_time: 0.0245 memory: 13723 grad_norm: 3.8091 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6527 loss: 1.6527 2022/08/08 21:09:39 - mmengine - INFO - Epoch(train) [14][280/1879] lr: 2.0000e-02 eta: 11:51:06 time: 0.6797 data_time: 0.0206 memory: 13723 grad_norm: 3.8757 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8222 loss: 1.8222 2022/08/08 21:09:51 - mmengine - INFO - Epoch(train) [14][300/1879] lr: 2.0000e-02 eta: 11:50:53 time: 0.5902 data_time: 0.0435 memory: 13723 grad_norm: 3.7951 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5626 loss: 1.5626 2022/08/08 21:10:03 - mmengine - INFO - Epoch(train) [14][320/1879] lr: 2.0000e-02 eta: 11:50:39 time: 0.5892 data_time: 0.0230 memory: 13723 grad_norm: 3.9120 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7234 loss: 1.7234 2022/08/08 21:10:18 - mmengine - INFO - Epoch(train) [14][340/1879] lr: 2.0000e-02 eta: 11:50:35 time: 0.7739 data_time: 0.0389 memory: 13723 grad_norm: 3.8044 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7856 loss: 1.7856 2022/08/08 21:10:32 - mmengine - INFO - Epoch(train) [14][360/1879] lr: 2.0000e-02 eta: 11:50:27 time: 0.6987 data_time: 0.0229 memory: 13723 grad_norm: 3.8377 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6677 loss: 1.6677 2022/08/08 21:10:44 - mmengine - INFO - Epoch(train) [14][380/1879] lr: 2.0000e-02 eta: 11:50:13 time: 0.5802 data_time: 0.0210 memory: 13723 grad_norm: 3.8184 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6802 loss: 1.6802 2022/08/08 21:10:55 - mmengine - INFO - Epoch(train) [14][400/1879] lr: 2.0000e-02 eta: 11:49:59 time: 0.5781 data_time: 0.0235 memory: 13723 grad_norm: 3.7717 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4566 loss: 1.4566 2022/08/08 21:11:07 - mmengine - INFO - Epoch(train) [14][420/1879] lr: 2.0000e-02 eta: 11:49:44 time: 0.5779 data_time: 0.0247 memory: 13723 grad_norm: 3.7963 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7110 loss: 1.7110 2022/08/08 21:11:19 - mmengine - INFO - Epoch(train) [14][440/1879] lr: 2.0000e-02 eta: 11:49:30 time: 0.5818 data_time: 0.0265 memory: 13723 grad_norm: 3.8039 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4889 loss: 1.4889 2022/08/08 21:11:31 - mmengine - INFO - Epoch(train) [14][460/1879] lr: 2.0000e-02 eta: 11:49:19 time: 0.6392 data_time: 0.0215 memory: 13723 grad_norm: 3.7060 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6681 loss: 1.6681 2022/08/08 21:11:43 - mmengine - INFO - Epoch(train) [14][480/1879] lr: 2.0000e-02 eta: 11:49:04 time: 0.5674 data_time: 0.0230 memory: 13723 grad_norm: 3.7263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5091 loss: 1.5091 2022/08/08 21:11:54 - mmengine - INFO - Epoch(train) [14][500/1879] lr: 2.0000e-02 eta: 11:48:50 time: 0.5833 data_time: 0.0252 memory: 13723 grad_norm: 3.8227 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6194 loss: 1.6194 2022/08/08 21:12:06 - mmengine - INFO - Epoch(train) [14][520/1879] lr: 2.0000e-02 eta: 11:48:36 time: 0.5872 data_time: 0.0233 memory: 13723 grad_norm: 3.7773 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6233 loss: 1.6233 2022/08/08 21:12:18 - mmengine - INFO - Epoch(train) [14][540/1879] lr: 2.0000e-02 eta: 11:48:22 time: 0.5830 data_time: 0.0254 memory: 13723 grad_norm: 3.7172 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6776 loss: 1.6776 2022/08/08 21:12:31 - mmengine - INFO - Epoch(train) [14][560/1879] lr: 2.0000e-02 eta: 11:48:12 time: 0.6710 data_time: 0.0222 memory: 13723 grad_norm: 3.7303 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7028 loss: 1.7028 2022/08/08 21:12:39 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 21:12:43 - mmengine - INFO - Epoch(train) [14][580/1879] lr: 2.0000e-02 eta: 11:47:58 time: 0.5826 data_time: 0.0254 memory: 13723 grad_norm: 3.6616 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6333 loss: 1.6333 2022/08/08 21:12:56 - mmengine - INFO - Epoch(train) [14][600/1879] lr: 2.0000e-02 eta: 11:47:47 time: 0.6322 data_time: 0.0231 memory: 13723 grad_norm: 3.7110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6868 loss: 1.6868 2022/08/08 21:13:07 - mmengine - INFO - Epoch(train) [14][620/1879] lr: 2.0000e-02 eta: 11:47:33 time: 0.5843 data_time: 0.0220 memory: 13723 grad_norm: 3.8589 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7323 loss: 1.7323 2022/08/08 21:13:20 - mmengine - INFO - Epoch(train) [14][640/1879] lr: 2.0000e-02 eta: 11:47:21 time: 0.6302 data_time: 0.0229 memory: 13723 grad_norm: 3.8123 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5949 loss: 1.5949 2022/08/08 21:13:32 - mmengine - INFO - Epoch(train) [14][660/1879] lr: 2.0000e-02 eta: 11:47:08 time: 0.6017 data_time: 0.0231 memory: 13723 grad_norm: 3.7775 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.6266 loss: 1.6266 2022/08/08 21:13:43 - mmengine - INFO - Epoch(train) [14][680/1879] lr: 2.0000e-02 eta: 11:46:54 time: 0.5776 data_time: 0.0248 memory: 13723 grad_norm: 3.8451 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6384 loss: 1.6384 2022/08/08 21:13:55 - mmengine - INFO - Epoch(train) [14][700/1879] lr: 2.0000e-02 eta: 11:46:40 time: 0.5991 data_time: 0.0234 memory: 13723 grad_norm: 3.7562 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6727 loss: 1.6727 2022/08/08 21:14:07 - mmengine - INFO - Epoch(train) [14][720/1879] lr: 2.0000e-02 eta: 11:46:26 time: 0.5757 data_time: 0.0251 memory: 13723 grad_norm: 3.8050 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8841 loss: 1.8841 2022/08/08 21:14:19 - mmengine - INFO - Epoch(train) [14][740/1879] lr: 2.0000e-02 eta: 11:46:12 time: 0.5802 data_time: 0.0254 memory: 13723 grad_norm: 3.6316 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6429 loss: 1.6429 2022/08/08 21:14:30 - mmengine - INFO - Epoch(train) [14][760/1879] lr: 2.0000e-02 eta: 11:45:57 time: 0.5825 data_time: 0.0236 memory: 13723 grad_norm: 3.8306 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7630 loss: 1.7630 2022/08/08 21:14:42 - mmengine - INFO - Epoch(train) [14][780/1879] lr: 2.0000e-02 eta: 11:45:45 time: 0.6153 data_time: 0.0223 memory: 13723 grad_norm: 3.8121 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7104 loss: 1.7104 2022/08/08 21:14:54 - mmengine - INFO - Epoch(train) [14][800/1879] lr: 2.0000e-02 eta: 11:45:30 time: 0.5738 data_time: 0.0237 memory: 13723 grad_norm: 3.7088 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6152 loss: 1.6152 2022/08/08 21:15:05 - mmengine - INFO - Epoch(train) [14][820/1879] lr: 2.0000e-02 eta: 11:45:15 time: 0.5665 data_time: 0.0240 memory: 13723 grad_norm: 3.8030 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6436 loss: 1.6436 2022/08/08 21:15:21 - mmengine - INFO - Epoch(train) [14][840/1879] lr: 2.0000e-02 eta: 11:45:13 time: 0.8022 data_time: 0.0250 memory: 13723 grad_norm: 3.6912 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6388 loss: 1.6388 2022/08/08 21:15:36 - mmengine - INFO - Epoch(train) [14][860/1879] lr: 2.0000e-02 eta: 11:45:08 time: 0.7437 data_time: 0.0218 memory: 13723 grad_norm: 3.8184 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7289 loss: 1.7289 2022/08/08 21:15:48 - mmengine - INFO - Epoch(train) [14][880/1879] lr: 2.0000e-02 eta: 11:44:54 time: 0.5830 data_time: 0.0221 memory: 13723 grad_norm: 3.7471 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4980 loss: 1.4980 2022/08/08 21:16:02 - mmengine - INFO - Epoch(train) [14][900/1879] lr: 2.0000e-02 eta: 11:44:47 time: 0.7248 data_time: 0.0196 memory: 13723 grad_norm: 3.8435 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6251 loss: 1.6251 2022/08/08 21:16:14 - mmengine - INFO - Epoch(train) [14][920/1879] lr: 2.0000e-02 eta: 11:44:33 time: 0.5853 data_time: 0.0230 memory: 13723 grad_norm: 3.8553 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8135 loss: 1.8135 2022/08/08 21:16:26 - mmengine - INFO - Epoch(train) [14][940/1879] lr: 2.0000e-02 eta: 11:44:20 time: 0.5968 data_time: 0.0528 memory: 13723 grad_norm: 3.7788 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8053 loss: 1.8053 2022/08/08 21:16:37 - mmengine - INFO - Epoch(train) [14][960/1879] lr: 2.0000e-02 eta: 11:44:05 time: 0.5677 data_time: 0.0232 memory: 13723 grad_norm: 3.7630 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8498 loss: 1.8498 2022/08/08 21:16:49 - mmengine - INFO - Epoch(train) [14][980/1879] lr: 2.0000e-02 eta: 11:43:50 time: 0.5686 data_time: 0.0248 memory: 13723 grad_norm: 3.8932 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7019 loss: 1.7019 2022/08/08 21:17:00 - mmengine - INFO - Epoch(train) [14][1000/1879] lr: 2.0000e-02 eta: 11:43:36 time: 0.5848 data_time: 0.0241 memory: 13723 grad_norm: 3.7347 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7092 loss: 1.7092 2022/08/08 21:17:12 - mmengine - INFO - Epoch(train) [14][1020/1879] lr: 2.0000e-02 eta: 11:43:21 time: 0.5722 data_time: 0.0255 memory: 13723 grad_norm: 3.8233 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7320 loss: 1.7320 2022/08/08 21:17:23 - mmengine - INFO - Epoch(train) [14][1040/1879] lr: 2.0000e-02 eta: 11:43:07 time: 0.5747 data_time: 0.0241 memory: 13723 grad_norm: 3.7665 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7285 loss: 1.7285 2022/08/08 21:17:35 - mmengine - INFO - Epoch(train) [14][1060/1879] lr: 2.0000e-02 eta: 11:42:52 time: 0.5723 data_time: 0.0267 memory: 13723 grad_norm: 3.7941 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6928 loss: 1.6928 2022/08/08 21:17:47 - mmengine - INFO - Epoch(train) [14][1080/1879] lr: 2.0000e-02 eta: 11:42:39 time: 0.5916 data_time: 0.0416 memory: 13723 grad_norm: 3.8283 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7831 loss: 1.7831 2022/08/08 21:17:58 - mmengine - INFO - Epoch(train) [14][1100/1879] lr: 2.0000e-02 eta: 11:42:24 time: 0.5704 data_time: 0.0262 memory: 13723 grad_norm: 3.7720 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7027 loss: 1.7027 2022/08/08 21:18:10 - mmengine - INFO - Epoch(train) [14][1120/1879] lr: 2.0000e-02 eta: 11:42:10 time: 0.5827 data_time: 0.0296 memory: 13723 grad_norm: 3.8278 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5925 loss: 1.5925 2022/08/08 21:18:21 - mmengine - INFO - Epoch(train) [14][1140/1879] lr: 2.0000e-02 eta: 11:41:56 time: 0.5839 data_time: 0.0228 memory: 13723 grad_norm: 3.8729 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.6346 loss: 1.6346 2022/08/08 21:18:33 - mmengine - INFO - Epoch(train) [14][1160/1879] lr: 2.0000e-02 eta: 11:41:42 time: 0.5872 data_time: 0.0269 memory: 13723 grad_norm: 3.7429 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6601 loss: 1.6601 2022/08/08 21:18:48 - mmengine - INFO - Epoch(train) [14][1180/1879] lr: 2.0000e-02 eta: 11:41:36 time: 0.7381 data_time: 0.0203 memory: 13723 grad_norm: 3.6829 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5885 loss: 1.5885 2022/08/08 21:19:01 - mmengine - INFO - Epoch(train) [14][1200/1879] lr: 2.0000e-02 eta: 11:41:25 time: 0.6481 data_time: 0.0218 memory: 13723 grad_norm: 3.7198 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5485 loss: 1.5485 2022/08/08 21:19:13 - mmengine - INFO - Epoch(train) [14][1220/1879] lr: 2.0000e-02 eta: 11:41:13 time: 0.6079 data_time: 0.0211 memory: 13723 grad_norm: 3.8669 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7561 loss: 1.7561 2022/08/08 21:19:25 - mmengine - INFO - Epoch(train) [14][1240/1879] lr: 2.0000e-02 eta: 11:40:59 time: 0.5971 data_time: 0.0236 memory: 13723 grad_norm: 3.8108 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7416 loss: 1.7416 2022/08/08 21:19:37 - mmengine - INFO - Epoch(train) [14][1260/1879] lr: 2.0000e-02 eta: 11:40:45 time: 0.5801 data_time: 0.0247 memory: 13723 grad_norm: 3.7423 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5057 loss: 1.5057 2022/08/08 21:19:48 - mmengine - INFO - Epoch(train) [14][1280/1879] lr: 2.0000e-02 eta: 11:40:31 time: 0.5760 data_time: 0.0245 memory: 13723 grad_norm: 3.7669 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7807 loss: 1.7807 2022/08/08 21:20:00 - mmengine - INFO - Epoch(train) [14][1300/1879] lr: 2.0000e-02 eta: 11:40:17 time: 0.5825 data_time: 0.0222 memory: 13723 grad_norm: 3.8534 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6857 loss: 1.6857 2022/08/08 21:20:12 - mmengine - INFO - Epoch(train) [14][1320/1879] lr: 2.0000e-02 eta: 11:40:03 time: 0.5870 data_time: 0.0212 memory: 13723 grad_norm: 3.6870 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7452 loss: 1.7452 2022/08/08 21:20:26 - mmengine - INFO - Epoch(train) [14][1340/1879] lr: 2.0000e-02 eta: 11:39:56 time: 0.7159 data_time: 0.0277 memory: 13723 grad_norm: 3.7867 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7857 loss: 1.7857 2022/08/08 21:20:39 - mmengine - INFO - Epoch(train) [14][1360/1879] lr: 2.0000e-02 eta: 11:39:44 time: 0.6313 data_time: 0.0225 memory: 13723 grad_norm: 3.8424 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5448 loss: 1.5448 2022/08/08 21:20:50 - mmengine - INFO - Epoch(train) [14][1380/1879] lr: 2.0000e-02 eta: 11:39:30 time: 0.5831 data_time: 0.0240 memory: 13723 grad_norm: 3.8529 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6806 loss: 1.6806 2022/08/08 21:21:03 - mmengine - INFO - Epoch(train) [14][1400/1879] lr: 2.0000e-02 eta: 11:39:18 time: 0.6200 data_time: 0.0211 memory: 13723 grad_norm: 3.8127 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6863 loss: 1.6863 2022/08/08 21:21:15 - mmengine - INFO - Epoch(train) [14][1420/1879] lr: 2.0000e-02 eta: 11:39:05 time: 0.6010 data_time: 0.0236 memory: 13723 grad_norm: 3.7938 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6256 loss: 1.6256 2022/08/08 21:21:26 - mmengine - INFO - Epoch(train) [14][1440/1879] lr: 2.0000e-02 eta: 11:38:51 time: 0.5825 data_time: 0.0228 memory: 13723 grad_norm: 3.7938 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8779 loss: 1.8779 2022/08/08 21:21:38 - mmengine - INFO - Epoch(train) [14][1460/1879] lr: 2.0000e-02 eta: 11:38:37 time: 0.5813 data_time: 0.0231 memory: 13723 grad_norm: 3.7112 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6524 loss: 1.6524 2022/08/08 21:21:50 - mmengine - INFO - Epoch(train) [14][1480/1879] lr: 2.0000e-02 eta: 11:38:25 time: 0.6283 data_time: 0.0209 memory: 13723 grad_norm: 3.7952 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8978 loss: 1.8978 2022/08/08 21:22:02 - mmengine - INFO - Epoch(train) [14][1500/1879] lr: 2.0000e-02 eta: 11:38:12 time: 0.5939 data_time: 0.0237 memory: 13723 grad_norm: 3.7597 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.7513 loss: 1.7513 2022/08/08 21:22:16 - mmengine - INFO - Epoch(train) [14][1520/1879] lr: 2.0000e-02 eta: 11:38:04 time: 0.7031 data_time: 0.0224 memory: 13723 grad_norm: 3.7371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7727 loss: 1.7727 2022/08/08 21:22:28 - mmengine - INFO - Epoch(train) [14][1540/1879] lr: 2.0000e-02 eta: 11:37:49 time: 0.5727 data_time: 0.0248 memory: 13723 grad_norm: 3.8312 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5845 loss: 1.5845 2022/08/08 21:22:40 - mmengine - INFO - Epoch(train) [14][1560/1879] lr: 2.0000e-02 eta: 11:37:36 time: 0.5939 data_time: 0.0227 memory: 13723 grad_norm: 3.7359 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6917 loss: 1.6917 2022/08/08 21:22:47 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 21:22:51 - mmengine - INFO - Epoch(train) [14][1580/1879] lr: 2.0000e-02 eta: 11:37:21 time: 0.5765 data_time: 0.0249 memory: 13723 grad_norm: 3.8342 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7984 loss: 1.7984 2022/08/08 21:23:03 - mmengine - INFO - Epoch(train) [14][1600/1879] lr: 2.0000e-02 eta: 11:37:07 time: 0.5754 data_time: 0.0238 memory: 13723 grad_norm: 3.7782 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7136 loss: 1.7136 2022/08/08 21:23:14 - mmengine - INFO - Epoch(train) [14][1620/1879] lr: 2.0000e-02 eta: 11:36:53 time: 0.5820 data_time: 0.0252 memory: 13723 grad_norm: 3.7407 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4945 loss: 1.4945 2022/08/08 21:23:26 - mmengine - INFO - Epoch(train) [14][1640/1879] lr: 2.0000e-02 eta: 11:36:40 time: 0.5991 data_time: 0.0240 memory: 13723 grad_norm: 3.7530 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8745 loss: 1.8745 2022/08/08 21:23:38 - mmengine - INFO - Epoch(train) [14][1660/1879] lr: 2.0000e-02 eta: 11:36:25 time: 0.5760 data_time: 0.0230 memory: 13723 grad_norm: 3.8490 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6312 loss: 1.6312 2022/08/08 21:23:49 - mmengine - INFO - Epoch(train) [14][1680/1879] lr: 2.0000e-02 eta: 11:36:11 time: 0.5754 data_time: 0.0243 memory: 13723 grad_norm: 3.8811 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7519 loss: 1.7519 2022/08/08 21:24:01 - mmengine - INFO - Epoch(train) [14][1700/1879] lr: 2.0000e-02 eta: 11:35:57 time: 0.5788 data_time: 0.0232 memory: 13723 grad_norm: 3.7188 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8178 loss: 1.8178 2022/08/08 21:24:13 - mmengine - INFO - Epoch(train) [14][1720/1879] lr: 2.0000e-02 eta: 11:35:43 time: 0.5907 data_time: 0.0264 memory: 13723 grad_norm: 3.8019 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8408 loss: 1.8408 2022/08/08 21:24:25 - mmengine - INFO - Epoch(train) [14][1740/1879] lr: 2.0000e-02 eta: 11:35:31 time: 0.6292 data_time: 0.0195 memory: 13723 grad_norm: 3.7863 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5322 loss: 1.5322 2022/08/08 21:24:39 - mmengine - INFO - Epoch(train) [14][1760/1879] lr: 2.0000e-02 eta: 11:35:21 time: 0.6528 data_time: 0.0217 memory: 13723 grad_norm: 3.7800 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0114 loss: 2.0114 2022/08/08 21:24:50 - mmengine - INFO - Epoch(train) [14][1780/1879] lr: 2.0000e-02 eta: 11:35:07 time: 0.5832 data_time: 0.0237 memory: 13723 grad_norm: 3.6999 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5631 loss: 1.5631 2022/08/08 21:25:03 - mmengine - INFO - Epoch(train) [14][1800/1879] lr: 2.0000e-02 eta: 11:34:57 time: 0.6530 data_time: 0.0949 memory: 13723 grad_norm: 3.7959 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7753 loss: 1.7753 2022/08/08 21:25:15 - mmengine - INFO - Epoch(train) [14][1820/1879] lr: 2.0000e-02 eta: 11:34:44 time: 0.6105 data_time: 0.0500 memory: 13723 grad_norm: 3.8250 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.7213 loss: 1.7213 2022/08/08 21:25:27 - mmengine - INFO - Epoch(train) [14][1840/1879] lr: 2.0000e-02 eta: 11:34:30 time: 0.5783 data_time: 0.0256 memory: 13723 grad_norm: 3.8389 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8975 loss: 1.8975 2022/08/08 21:25:39 - mmengine - INFO - Epoch(train) [14][1860/1879] lr: 2.0000e-02 eta: 11:34:16 time: 0.5813 data_time: 0.0236 memory: 13723 grad_norm: 3.7011 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5533 loss: 1.5533 2022/08/08 21:25:49 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 21:25:49 - mmengine - INFO - Epoch(train) [14][1879/1879] lr: 2.0000e-02 eta: 11:34:16 time: 0.5320 data_time: 0.0192 memory: 13723 grad_norm: 3.7884 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.8003 loss: 1.8003 2022/08/08 21:26:03 - mmengine - INFO - Epoch(val) [14][20/155] eta: 0:01:33 time: 0.6923 data_time: 0.5490 memory: 1829 2022/08/08 21:26:11 - mmengine - INFO - Epoch(val) [14][40/155] eta: 0:00:47 time: 0.4113 data_time: 0.2707 memory: 1829 2022/08/08 21:26:23 - mmengine - INFO - Epoch(val) [14][60/155] eta: 0:00:57 time: 0.6051 data_time: 0.4663 memory: 1829 2022/08/08 21:26:32 - mmengine - INFO - Epoch(val) [14][80/155] eta: 0:00:34 time: 0.4582 data_time: 0.3192 memory: 1829 2022/08/08 21:26:44 - mmengine - INFO - Epoch(val) [14][100/155] eta: 0:00:32 time: 0.5843 data_time: 0.4459 memory: 1829 2022/08/08 21:26:52 - mmengine - INFO - Epoch(val) [14][120/155] eta: 0:00:13 time: 0.3904 data_time: 0.2520 memory: 1829 2022/08/08 21:27:03 - mmengine - INFO - Epoch(val) [14][140/155] eta: 0:00:08 time: 0.5555 data_time: 0.4146 memory: 1829 2022/08/08 21:27:22 - mmengine - INFO - Epoch(val) [14][155/155] acc/top1: 0.5930 acc/top5: 0.8285 acc/mean1: 0.5928 2022/08/08 21:27:22 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_12.pth is removed 2022/08/08 21:27:24 - mmengine - INFO - The best checkpoint with 0.5930 acc/top1 at 15 epoch is saved to best_acc/top1_epoch_15.pth. 2022/08/08 21:27:40 - mmengine - INFO - Epoch(train) [15][20/1879] lr: 2.0000e-02 eta: 11:33:32 time: 0.8203 data_time: 0.2100 memory: 13723 grad_norm: 3.7670 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7651 loss: 1.7651 2022/08/08 21:27:52 - mmengine - INFO - Epoch(train) [15][40/1879] lr: 2.0000e-02 eta: 11:33:18 time: 0.5801 data_time: 0.0237 memory: 13723 grad_norm: 3.6504 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5622 loss: 1.5622 2022/08/08 21:28:04 - mmengine - INFO - Epoch(train) [15][60/1879] lr: 2.0000e-02 eta: 11:33:06 time: 0.6158 data_time: 0.0233 memory: 13723 grad_norm: 3.7698 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5564 loss: 1.5564 2022/08/08 21:28:17 - mmengine - INFO - Epoch(train) [15][80/1879] lr: 2.0000e-02 eta: 11:32:55 time: 0.6398 data_time: 0.0223 memory: 13723 grad_norm: 3.6741 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7447 loss: 1.7447 2022/08/08 21:28:28 - mmengine - INFO - Epoch(train) [15][100/1879] lr: 2.0000e-02 eta: 11:32:40 time: 0.5631 data_time: 0.0218 memory: 13723 grad_norm: 3.8777 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5970 loss: 1.5970 2022/08/08 21:28:40 - mmengine - INFO - Epoch(train) [15][120/1879] lr: 2.0000e-02 eta: 11:32:25 time: 0.5747 data_time: 0.0252 memory: 13723 grad_norm: 3.7887 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7016 loss: 1.7016 2022/08/08 21:28:51 - mmengine - INFO - Epoch(train) [15][140/1879] lr: 2.0000e-02 eta: 11:32:12 time: 0.5966 data_time: 0.0227 memory: 13723 grad_norm: 3.7637 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6746 loss: 1.6746 2022/08/08 21:29:03 - mmengine - INFO - Epoch(train) [15][160/1879] lr: 2.0000e-02 eta: 11:31:59 time: 0.5901 data_time: 0.0227 memory: 13723 grad_norm: 3.7452 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6320 loss: 1.6320 2022/08/08 21:29:15 - mmengine - INFO - Epoch(train) [15][180/1879] lr: 2.0000e-02 eta: 11:31:44 time: 0.5772 data_time: 0.0255 memory: 13723 grad_norm: 3.8599 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7436 loss: 1.7436 2022/08/08 21:29:26 - mmengine - INFO - Epoch(train) [15][200/1879] lr: 2.0000e-02 eta: 11:31:30 time: 0.5832 data_time: 0.0235 memory: 13723 grad_norm: 3.8349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6747 loss: 1.6747 2022/08/08 21:29:38 - mmengine - INFO - Epoch(train) [15][220/1879] lr: 2.0000e-02 eta: 11:31:16 time: 0.5787 data_time: 0.0250 memory: 13723 grad_norm: 3.8474 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7576 loss: 1.7576 2022/08/08 21:29:50 - mmengine - INFO - Epoch(train) [15][240/1879] lr: 2.0000e-02 eta: 11:31:02 time: 0.5867 data_time: 0.0222 memory: 13723 grad_norm: 3.7374 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.6557 loss: 1.6557 2022/08/08 21:30:03 - mmengine - INFO - Epoch(train) [15][260/1879] lr: 2.0000e-02 eta: 11:30:52 time: 0.6540 data_time: 0.0224 memory: 13723 grad_norm: 3.7437 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8548 loss: 1.8548 2022/08/08 21:30:20 - mmengine - INFO - Epoch(train) [15][280/1879] lr: 2.0000e-02 eta: 11:30:53 time: 0.8773 data_time: 0.0489 memory: 13723 grad_norm: 3.7948 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5106 loss: 1.5106 2022/08/08 21:30:34 - mmengine - INFO - Epoch(train) [15][300/1879] lr: 2.0000e-02 eta: 11:30:43 time: 0.6609 data_time: 0.0237 memory: 13723 grad_norm: 3.6865 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5835 loss: 1.5835 2022/08/08 21:30:45 - mmengine - INFO - Epoch(train) [15][320/1879] lr: 2.0000e-02 eta: 11:30:29 time: 0.5824 data_time: 0.0216 memory: 13723 grad_norm: 3.7862 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6924 loss: 1.6924 2022/08/08 21:30:57 - mmengine - INFO - Epoch(train) [15][340/1879] lr: 2.0000e-02 eta: 11:30:16 time: 0.5956 data_time: 0.0266 memory: 13723 grad_norm: 3.6659 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7001 loss: 1.7001 2022/08/08 21:31:09 - mmengine - INFO - Epoch(train) [15][360/1879] lr: 2.0000e-02 eta: 11:30:02 time: 0.5779 data_time: 0.0276 memory: 13723 grad_norm: 3.7841 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6090 loss: 1.6090 2022/08/08 21:31:21 - mmengine - INFO - Epoch(train) [15][380/1879] lr: 2.0000e-02 eta: 11:29:48 time: 0.5880 data_time: 0.0221 memory: 13723 grad_norm: 3.8192 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5324 loss: 1.5324 2022/08/08 21:31:32 - mmengine - INFO - Epoch(train) [15][400/1879] lr: 2.0000e-02 eta: 11:29:34 time: 0.5834 data_time: 0.0247 memory: 13723 grad_norm: 3.7642 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6611 loss: 1.6611 2022/08/08 21:31:44 - mmengine - INFO - Epoch(train) [15][420/1879] lr: 2.0000e-02 eta: 11:29:20 time: 0.5843 data_time: 0.0249 memory: 13723 grad_norm: 3.7395 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7174 loss: 1.7174 2022/08/08 21:31:55 - mmengine - INFO - Epoch(train) [15][440/1879] lr: 2.0000e-02 eta: 11:29:06 time: 0.5764 data_time: 0.0244 memory: 13723 grad_norm: 3.7139 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5694 loss: 1.5694 2022/08/08 21:32:07 - mmengine - INFO - Epoch(train) [15][460/1879] lr: 2.0000e-02 eta: 11:28:52 time: 0.5733 data_time: 0.0244 memory: 13723 grad_norm: 3.7572 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5257 loss: 1.5257 2022/08/08 21:32:18 - mmengine - INFO - Epoch(train) [15][480/1879] lr: 2.0000e-02 eta: 11:28:37 time: 0.5776 data_time: 0.0253 memory: 13723 grad_norm: 3.8397 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5847 loss: 1.5847 2022/08/08 21:32:30 - mmengine - INFO - Epoch(train) [15][500/1879] lr: 2.0000e-02 eta: 11:28:23 time: 0.5841 data_time: 0.0235 memory: 13723 grad_norm: 3.8557 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5124 loss: 1.5124 2022/08/08 21:32:44 - mmengine - INFO - Epoch(train) [15][520/1879] lr: 2.0000e-02 eta: 11:28:15 time: 0.6896 data_time: 0.0208 memory: 13723 grad_norm: 3.8455 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5180 loss: 1.5180 2022/08/08 21:32:58 - mmengine - INFO - Epoch(train) [15][540/1879] lr: 2.0000e-02 eta: 11:28:06 time: 0.6908 data_time: 0.0200 memory: 13723 grad_norm: 3.8661 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7553 loss: 1.7553 2022/08/08 21:33:12 - mmengine - INFO - Epoch(train) [15][560/1879] lr: 2.0000e-02 eta: 11:28:00 time: 0.7274 data_time: 0.0202 memory: 13723 grad_norm: 3.8025 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6165 loss: 1.6165 2022/08/08 21:33:25 - mmengine - INFO - Epoch(train) [15][580/1879] lr: 2.0000e-02 eta: 11:27:49 time: 0.6509 data_time: 0.0213 memory: 13723 grad_norm: 3.8340 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7095 loss: 1.7095 2022/08/08 21:33:37 - mmengine - INFO - Epoch(train) [15][600/1879] lr: 2.0000e-02 eta: 11:27:35 time: 0.5797 data_time: 0.0230 memory: 13723 grad_norm: 3.7020 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5842 loss: 1.5842 2022/08/08 21:33:49 - mmengine - INFO - Epoch(train) [15][620/1879] lr: 2.0000e-02 eta: 11:27:21 time: 0.5792 data_time: 0.0249 memory: 13723 grad_norm: 3.7858 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5774 loss: 1.5774 2022/08/08 21:34:01 - mmengine - INFO - Epoch(train) [15][640/1879] lr: 2.0000e-02 eta: 11:27:09 time: 0.6261 data_time: 0.0236 memory: 13723 grad_norm: 3.7778 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6600 loss: 1.6600 2022/08/08 21:34:14 - mmengine - INFO - Epoch(train) [15][660/1879] lr: 2.0000e-02 eta: 11:26:59 time: 0.6498 data_time: 0.0214 memory: 13723 grad_norm: 3.6747 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6970 loss: 1.6970 2022/08/08 21:34:26 - mmengine - INFO - Epoch(train) [15][680/1879] lr: 2.0000e-02 eta: 11:26:44 time: 0.5727 data_time: 0.0226 memory: 13723 grad_norm: 3.5304 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4323 loss: 1.4323 2022/08/08 21:34:35 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 21:34:38 - mmengine - INFO - Epoch(train) [15][700/1879] lr: 2.0000e-02 eta: 11:26:32 time: 0.6187 data_time: 0.0227 memory: 13723 grad_norm: 3.8135 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7098 loss: 1.7098 2022/08/08 21:34:50 - mmengine - INFO - Epoch(train) [15][720/1879] lr: 2.0000e-02 eta: 11:26:18 time: 0.5848 data_time: 0.0223 memory: 13723 grad_norm: 3.7519 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6500 loss: 1.6500 2022/08/08 21:35:03 - mmengine - INFO - Epoch(train) [15][740/1879] lr: 2.0000e-02 eta: 11:26:08 time: 0.6592 data_time: 0.0207 memory: 13723 grad_norm: 3.7351 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8324 loss: 1.8324 2022/08/08 21:35:18 - mmengine - INFO - Epoch(train) [15][760/1879] lr: 2.0000e-02 eta: 11:26:02 time: 0.7421 data_time: 0.0366 memory: 13723 grad_norm: 3.6880 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5506 loss: 1.5506 2022/08/08 21:35:30 - mmengine - INFO - Epoch(train) [15][780/1879] lr: 2.0000e-02 eta: 11:25:50 time: 0.6120 data_time: 0.0243 memory: 13723 grad_norm: 3.7743 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8938 loss: 1.8938 2022/08/08 21:35:44 - mmengine - INFO - Epoch(train) [15][800/1879] lr: 2.0000e-02 eta: 11:25:42 time: 0.7133 data_time: 0.0191 memory: 13723 grad_norm: 3.7717 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6581 loss: 1.6581 2022/08/08 21:35:56 - mmengine - INFO - Epoch(train) [15][820/1879] lr: 2.0000e-02 eta: 11:25:28 time: 0.5723 data_time: 0.0222 memory: 13723 grad_norm: 3.7687 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6806 loss: 1.6806 2022/08/08 21:36:10 - mmengine - INFO - Epoch(train) [15][840/1879] lr: 2.0000e-02 eta: 11:25:20 time: 0.7081 data_time: 0.0595 memory: 13723 grad_norm: 3.9553 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9681 loss: 1.9681 2022/08/08 21:36:23 - mmengine - INFO - Epoch(train) [15][860/1879] lr: 2.0000e-02 eta: 11:25:09 time: 0.6399 data_time: 0.0201 memory: 13723 grad_norm: 3.7900 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7580 loss: 1.7580 2022/08/08 21:36:34 - mmengine - INFO - Epoch(train) [15][880/1879] lr: 2.0000e-02 eta: 11:24:55 time: 0.5863 data_time: 0.0236 memory: 13723 grad_norm: 3.8513 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7383 loss: 1.7383 2022/08/08 21:36:46 - mmengine - INFO - Epoch(train) [15][900/1879] lr: 2.0000e-02 eta: 11:24:41 time: 0.5836 data_time: 0.0234 memory: 13723 grad_norm: 3.7126 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6068 loss: 1.6068 2022/08/08 21:37:01 - mmengine - INFO - Epoch(train) [15][920/1879] lr: 2.0000e-02 eta: 11:24:35 time: 0.7329 data_time: 0.0219 memory: 13723 grad_norm: 3.7861 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6937 loss: 1.6937 2022/08/08 21:37:12 - mmengine - INFO - Epoch(train) [15][940/1879] lr: 2.0000e-02 eta: 11:24:21 time: 0.5821 data_time: 0.0213 memory: 13723 grad_norm: 3.6537 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6540 loss: 1.6540 2022/08/08 21:37:24 - mmengine - INFO - Epoch(train) [15][960/1879] lr: 2.0000e-02 eta: 11:24:07 time: 0.5937 data_time: 0.0218 memory: 13723 grad_norm: 3.8600 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5349 loss: 1.5349 2022/08/08 21:37:36 - mmengine - INFO - Epoch(train) [15][980/1879] lr: 2.0000e-02 eta: 11:23:53 time: 0.5747 data_time: 0.0236 memory: 13723 grad_norm: 3.8268 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6108 loss: 1.6108 2022/08/08 21:37:48 - mmengine - INFO - Epoch(train) [15][1000/1879] lr: 2.0000e-02 eta: 11:23:41 time: 0.6200 data_time: 0.0240 memory: 13723 grad_norm: 3.9068 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7183 loss: 1.7183 2022/08/08 21:38:00 - mmengine - INFO - Epoch(train) [15][1020/1879] lr: 2.0000e-02 eta: 11:23:28 time: 0.5964 data_time: 0.0227 memory: 13723 grad_norm: 3.7291 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7126 loss: 1.7126 2022/08/08 21:38:12 - mmengine - INFO - Epoch(train) [15][1040/1879] lr: 2.0000e-02 eta: 11:23:14 time: 0.5795 data_time: 0.0268 memory: 13723 grad_norm: 3.6546 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6921 loss: 1.6921 2022/08/08 21:38:23 - mmengine - INFO - Epoch(train) [15][1060/1879] lr: 2.0000e-02 eta: 11:23:00 time: 0.5841 data_time: 0.0245 memory: 13723 grad_norm: 3.6706 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7034 loss: 1.7034 2022/08/08 21:38:35 - mmengine - INFO - Epoch(train) [15][1080/1879] lr: 2.0000e-02 eta: 11:22:46 time: 0.5814 data_time: 0.0237 memory: 13723 grad_norm: 3.6515 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6508 loss: 1.6508 2022/08/08 21:38:47 - mmengine - INFO - Epoch(train) [15][1100/1879] lr: 2.0000e-02 eta: 11:22:32 time: 0.5903 data_time: 0.0210 memory: 13723 grad_norm: 3.8096 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7489 loss: 1.7489 2022/08/08 21:39:01 - mmengine - INFO - Epoch(train) [15][1120/1879] lr: 2.0000e-02 eta: 11:22:24 time: 0.7034 data_time: 0.0218 memory: 13723 grad_norm: 3.7931 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6928 loss: 1.6928 2022/08/08 21:39:12 - mmengine - INFO - Epoch(train) [15][1140/1879] lr: 2.0000e-02 eta: 11:22:10 time: 0.5826 data_time: 0.0221 memory: 13723 grad_norm: 3.7435 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6255 loss: 1.6255 2022/08/08 21:39:28 - mmengine - INFO - Epoch(train) [15][1160/1879] lr: 2.0000e-02 eta: 11:22:05 time: 0.7636 data_time: 0.0180 memory: 13723 grad_norm: 3.6233 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4783 loss: 1.4783 2022/08/08 21:39:39 - mmengine - INFO - Epoch(train) [15][1180/1879] lr: 2.0000e-02 eta: 11:21:51 time: 0.5769 data_time: 0.0238 memory: 13723 grad_norm: 3.6535 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6846 loss: 1.6846 2022/08/08 21:39:51 - mmengine - INFO - Epoch(train) [15][1200/1879] lr: 2.0000e-02 eta: 11:21:38 time: 0.6022 data_time: 0.0261 memory: 13723 grad_norm: 3.7262 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8311 loss: 1.8311 2022/08/08 21:40:03 - mmengine - INFO - Epoch(train) [15][1220/1879] lr: 2.0000e-02 eta: 11:21:24 time: 0.5902 data_time: 0.0217 memory: 13723 grad_norm: 3.6919 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5442 loss: 1.5442 2022/08/08 21:40:19 - mmengine - INFO - Epoch(train) [15][1240/1879] lr: 2.0000e-02 eta: 11:21:21 time: 0.7910 data_time: 0.1788 memory: 13723 grad_norm: 3.8994 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6010 loss: 1.6010 2022/08/08 21:40:32 - mmengine - INFO - Epoch(train) [15][1260/1879] lr: 2.0000e-02 eta: 11:21:10 time: 0.6428 data_time: 0.0483 memory: 13723 grad_norm: 3.7581 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7346 loss: 1.7346 2022/08/08 21:40:44 - mmengine - INFO - Epoch(train) [15][1280/1879] lr: 2.0000e-02 eta: 11:20:56 time: 0.5930 data_time: 0.0232 memory: 13723 grad_norm: 3.7576 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7519 loss: 1.7519 2022/08/08 21:40:57 - mmengine - INFO - Epoch(train) [15][1300/1879] lr: 2.0000e-02 eta: 11:20:46 time: 0.6526 data_time: 0.0873 memory: 13723 grad_norm: 3.7585 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7689 loss: 1.7689 2022/08/08 21:41:08 - mmengine - INFO - Epoch(train) [15][1320/1879] lr: 2.0000e-02 eta: 11:20:31 time: 0.5773 data_time: 0.0224 memory: 13723 grad_norm: 3.6752 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6585 loss: 1.6585 2022/08/08 21:41:20 - mmengine - INFO - Epoch(train) [15][1340/1879] lr: 2.0000e-02 eta: 11:20:17 time: 0.5806 data_time: 0.0274 memory: 13723 grad_norm: 3.7668 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5727 loss: 1.5727 2022/08/08 21:41:31 - mmengine - INFO - Epoch(train) [15][1360/1879] lr: 2.0000e-02 eta: 11:20:03 time: 0.5740 data_time: 0.0251 memory: 13723 grad_norm: 3.7339 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8154 loss: 1.8154 2022/08/08 21:41:45 - mmengine - INFO - Epoch(train) [15][1380/1879] lr: 2.0000e-02 eta: 11:19:53 time: 0.6638 data_time: 0.0230 memory: 13723 grad_norm: 3.7491 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8550 loss: 1.8550 2022/08/08 21:41:56 - mmengine - INFO - Epoch(train) [15][1400/1879] lr: 2.0000e-02 eta: 11:19:39 time: 0.5720 data_time: 0.0230 memory: 13723 grad_norm: 3.8022 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7600 loss: 1.7600 2022/08/08 21:42:08 - mmengine - INFO - Epoch(train) [15][1420/1879] lr: 2.0000e-02 eta: 11:19:25 time: 0.5788 data_time: 0.0256 memory: 13723 grad_norm: 3.6903 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8129 loss: 1.8129 2022/08/08 21:42:20 - mmengine - INFO - Epoch(train) [15][1440/1879] lr: 2.0000e-02 eta: 11:19:11 time: 0.5958 data_time: 0.0449 memory: 13723 grad_norm: 3.7998 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6915 loss: 1.6915 2022/08/08 21:42:31 - mmengine - INFO - Epoch(train) [15][1460/1879] lr: 2.0000e-02 eta: 11:18:58 time: 0.5811 data_time: 0.0238 memory: 13723 grad_norm: 3.7423 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9758 loss: 1.9758 2022/08/08 21:42:44 - mmengine - INFO - Epoch(train) [15][1480/1879] lr: 2.0000e-02 eta: 11:18:47 time: 0.6495 data_time: 0.0192 memory: 13723 grad_norm: 3.8003 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8885 loss: 1.8885 2022/08/08 21:42:56 - mmengine - INFO - Epoch(train) [15][1500/1879] lr: 2.0000e-02 eta: 11:18:32 time: 0.5730 data_time: 0.0238 memory: 13723 grad_norm: 3.7845 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8105 loss: 1.8105 2022/08/08 21:43:07 - mmengine - INFO - Epoch(train) [15][1520/1879] lr: 2.0000e-02 eta: 11:18:18 time: 0.5776 data_time: 0.0245 memory: 13723 grad_norm: 3.8028 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8698 loss: 1.8698 2022/08/08 21:43:19 - mmengine - INFO - Epoch(train) [15][1540/1879] lr: 2.0000e-02 eta: 11:18:04 time: 0.5766 data_time: 0.0250 memory: 13723 grad_norm: 3.8222 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6829 loss: 1.6829 2022/08/08 21:43:31 - mmengine - INFO - Epoch(train) [15][1560/1879] lr: 2.0000e-02 eta: 11:17:53 time: 0.6287 data_time: 0.0210 memory: 13723 grad_norm: 3.7735 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7279 loss: 1.7279 2022/08/08 21:43:43 - mmengine - INFO - Epoch(train) [15][1580/1879] lr: 2.0000e-02 eta: 11:17:38 time: 0.5697 data_time: 0.0226 memory: 13723 grad_norm: 3.7166 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6205 loss: 1.6205 2022/08/08 21:43:54 - mmengine - INFO - Epoch(train) [15][1600/1879] lr: 2.0000e-02 eta: 11:17:23 time: 0.5674 data_time: 0.0232 memory: 13723 grad_norm: 3.7646 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5954 loss: 1.5954 2022/08/08 21:44:06 - mmengine - INFO - Epoch(train) [15][1620/1879] lr: 2.0000e-02 eta: 11:17:09 time: 0.5789 data_time: 0.0256 memory: 13723 grad_norm: 3.7910 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6303 loss: 1.6303 2022/08/08 21:44:17 - mmengine - INFO - Epoch(train) [15][1640/1879] lr: 2.0000e-02 eta: 11:16:55 time: 0.5801 data_time: 0.0240 memory: 13723 grad_norm: 3.8037 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7490 loss: 1.7490 2022/08/08 21:44:29 - mmengine - INFO - Epoch(train) [15][1660/1879] lr: 2.0000e-02 eta: 11:16:41 time: 0.5800 data_time: 0.0236 memory: 13723 grad_norm: 3.8527 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7919 loss: 1.7919 2022/08/08 21:44:41 - mmengine - INFO - Epoch(train) [15][1680/1879] lr: 2.0000e-02 eta: 11:16:28 time: 0.5877 data_time: 0.0244 memory: 13723 grad_norm: 3.8906 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.6850 loss: 1.6850 2022/08/08 21:44:49 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 21:44:52 - mmengine - INFO - Epoch(train) [15][1700/1879] lr: 2.0000e-02 eta: 11:16:14 time: 0.5768 data_time: 0.0220 memory: 13723 grad_norm: 3.9052 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8553 loss: 1.8553 2022/08/08 21:45:04 - mmengine - INFO - Epoch(train) [15][1720/1879] lr: 2.0000e-02 eta: 11:16:01 time: 0.6024 data_time: 0.0230 memory: 13723 grad_norm: 3.6934 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7165 loss: 1.7165 2022/08/08 21:45:18 - mmengine - INFO - Epoch(train) [15][1740/1879] lr: 2.0000e-02 eta: 11:15:53 time: 0.7029 data_time: 0.1060 memory: 13723 grad_norm: 3.7377 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6460 loss: 1.6460 2022/08/08 21:45:30 - mmengine - INFO - Epoch(train) [15][1760/1879] lr: 2.0000e-02 eta: 11:15:40 time: 0.6011 data_time: 0.0412 memory: 13723 grad_norm: 3.7868 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7861 loss: 1.7861 2022/08/08 21:45:43 - mmengine - INFO - Epoch(train) [15][1780/1879] lr: 2.0000e-02 eta: 11:15:27 time: 0.6150 data_time: 0.0225 memory: 13723 grad_norm: 3.7827 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6817 loss: 1.6817 2022/08/08 21:45:54 - mmengine - INFO - Epoch(train) [15][1800/1879] lr: 2.0000e-02 eta: 11:15:13 time: 0.5824 data_time: 0.0213 memory: 13723 grad_norm: 3.6862 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5710 loss: 1.5710 2022/08/08 21:46:06 - mmengine - INFO - Epoch(train) [15][1820/1879] lr: 2.0000e-02 eta: 11:15:00 time: 0.5814 data_time: 0.0244 memory: 13723 grad_norm: 3.7995 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6553 loss: 1.6553 2022/08/08 21:46:17 - mmengine - INFO - Epoch(train) [15][1840/1879] lr: 2.0000e-02 eta: 11:14:45 time: 0.5755 data_time: 0.0241 memory: 13723 grad_norm: 3.7522 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7864 loss: 1.7864 2022/08/08 21:46:29 - mmengine - INFO - Epoch(train) [15][1860/1879] lr: 2.0000e-02 eta: 11:14:31 time: 0.5764 data_time: 0.0243 memory: 13723 grad_norm: 3.8304 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6097 loss: 1.6097 2022/08/08 21:46:40 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 21:46:40 - mmengine - INFO - Epoch(train) [15][1879/1879] lr: 2.0000e-02 eta: 11:14:31 time: 0.5538 data_time: 0.0179 memory: 13723 grad_norm: 3.8806 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.3981 loss: 1.3981 2022/08/08 21:46:40 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/08/08 21:46:55 - mmengine - INFO - Epoch(val) [15][20/155] eta: 0:01:33 time: 0.6910 data_time: 0.5506 memory: 1829 2022/08/08 21:47:03 - mmengine - INFO - Epoch(val) [15][40/155] eta: 0:00:46 time: 0.4050 data_time: 0.2651 memory: 1829 2022/08/08 21:47:15 - mmengine - INFO - Epoch(val) [15][60/155] eta: 0:00:55 time: 0.5843 data_time: 0.4423 memory: 1829 2022/08/08 21:47:24 - mmengine - INFO - Epoch(val) [15][80/155] eta: 0:00:33 time: 0.4419 data_time: 0.3018 memory: 1829 2022/08/08 21:47:35 - mmengine - INFO - Epoch(val) [15][100/155] eta: 0:00:31 time: 0.5664 data_time: 0.4268 memory: 1829 2022/08/08 21:47:44 - mmengine - INFO - Epoch(val) [15][120/155] eta: 0:00:15 time: 0.4486 data_time: 0.3093 memory: 1829 2022/08/08 21:47:57 - mmengine - INFO - Epoch(val) [15][140/155] eta: 0:00:09 time: 0.6597 data_time: 0.5204 memory: 1829 2022/08/08 21:48:15 - mmengine - INFO - Epoch(val) [15][155/155] acc/top1: 0.6006 acc/top5: 0.8339 acc/mean1: 0.6006 2022/08/08 21:48:15 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_15.pth is removed 2022/08/08 21:48:16 - mmengine - INFO - The best checkpoint with 0.6006 acc/top1 at 16 epoch is saved to best_acc/top1_epoch_16.pth. 2022/08/08 21:48:33 - mmengine - INFO - Epoch(train) [16][20/1879] lr: 2.0000e-02 eta: 11:13:51 time: 0.8569 data_time: 0.2323 memory: 13723 grad_norm: 3.6712 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6555 loss: 1.6555 2022/08/08 21:48:46 - mmengine - INFO - Epoch(train) [16][40/1879] lr: 2.0000e-02 eta: 11:13:39 time: 0.6165 data_time: 0.0217 memory: 13723 grad_norm: 3.7868 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5554 loss: 1.5554 2022/08/08 21:48:57 - mmengine - INFO - Epoch(train) [16][60/1879] lr: 2.0000e-02 eta: 11:13:25 time: 0.5716 data_time: 0.0252 memory: 13723 grad_norm: 3.7520 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7587 loss: 1.7587 2022/08/08 21:49:09 - mmengine - INFO - Epoch(train) [16][80/1879] lr: 2.0000e-02 eta: 11:13:11 time: 0.5766 data_time: 0.0220 memory: 13723 grad_norm: 3.8153 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6124 loss: 1.6124 2022/08/08 21:49:20 - mmengine - INFO - Epoch(train) [16][100/1879] lr: 2.0000e-02 eta: 11:12:56 time: 0.5696 data_time: 0.0248 memory: 13723 grad_norm: 3.7816 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6263 loss: 1.6263 2022/08/08 21:49:33 - mmengine - INFO - Epoch(train) [16][120/1879] lr: 2.0000e-02 eta: 11:12:45 time: 0.6412 data_time: 0.0245 memory: 13723 grad_norm: 3.8691 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8020 loss: 1.8020 2022/08/08 21:49:44 - mmengine - INFO - Epoch(train) [16][140/1879] lr: 2.0000e-02 eta: 11:12:31 time: 0.5629 data_time: 0.0224 memory: 13723 grad_norm: 3.8790 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7290 loss: 1.7290 2022/08/08 21:49:56 - mmengine - INFO - Epoch(train) [16][160/1879] lr: 2.0000e-02 eta: 11:12:16 time: 0.5733 data_time: 0.0232 memory: 13723 grad_norm: 3.7680 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 1.7374 loss: 1.7374 2022/08/08 21:50:10 - mmengine - INFO - Epoch(train) [16][180/1879] lr: 2.0000e-02 eta: 11:12:08 time: 0.6988 data_time: 0.0206 memory: 13723 grad_norm: 3.6755 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5277 loss: 1.5277 2022/08/08 21:50:26 - mmengine - INFO - Epoch(train) [16][200/1879] lr: 2.0000e-02 eta: 11:12:04 time: 0.7965 data_time: 0.0191 memory: 13723 grad_norm: 3.8302 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6563 loss: 1.6563 2022/08/08 21:50:37 - mmengine - INFO - Epoch(train) [16][220/1879] lr: 2.0000e-02 eta: 11:11:50 time: 0.5818 data_time: 0.0209 memory: 13723 grad_norm: 3.7797 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6662 loss: 1.6662 2022/08/08 21:50:49 - mmengine - INFO - Epoch(train) [16][240/1879] lr: 2.0000e-02 eta: 11:11:37 time: 0.6071 data_time: 0.0233 memory: 13723 grad_norm: 3.7144 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5905 loss: 1.5905 2022/08/08 21:51:04 - mmengine - INFO - Epoch(train) [16][260/1879] lr: 2.0000e-02 eta: 11:11:31 time: 0.7305 data_time: 0.0191 memory: 13723 grad_norm: 3.7614 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5034 loss: 1.5034 2022/08/08 21:51:16 - mmengine - INFO - Epoch(train) [16][280/1879] lr: 2.0000e-02 eta: 11:11:19 time: 0.6236 data_time: 0.0215 memory: 13723 grad_norm: 3.8377 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6519 loss: 1.6519 2022/08/08 21:51:29 - mmengine - INFO - Epoch(train) [16][300/1879] lr: 2.0000e-02 eta: 11:11:07 time: 0.6244 data_time: 0.0234 memory: 13723 grad_norm: 3.8005 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6981 loss: 1.6981 2022/08/08 21:51:41 - mmengine - INFO - Epoch(train) [16][320/1879] lr: 2.0000e-02 eta: 11:10:53 time: 0.5812 data_time: 0.0232 memory: 13723 grad_norm: 3.7264 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4587 loss: 1.4587 2022/08/08 21:51:52 - mmengine - INFO - Epoch(train) [16][340/1879] lr: 2.0000e-02 eta: 11:10:39 time: 0.5790 data_time: 0.0241 memory: 13723 grad_norm: 3.7167 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5813 loss: 1.5813 2022/08/08 21:52:04 - mmengine - INFO - Epoch(train) [16][360/1879] lr: 2.0000e-02 eta: 11:10:26 time: 0.5969 data_time: 0.0238 memory: 13723 grad_norm: 3.6586 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5776 loss: 1.5776 2022/08/08 21:52:16 - mmengine - INFO - Epoch(train) [16][380/1879] lr: 2.0000e-02 eta: 11:10:13 time: 0.6119 data_time: 0.0215 memory: 13723 grad_norm: 3.7555 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5611 loss: 1.5611 2022/08/08 21:52:31 - mmengine - INFO - Epoch(train) [16][400/1879] lr: 2.0000e-02 eta: 11:10:06 time: 0.7155 data_time: 0.0211 memory: 13723 grad_norm: 3.8441 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6861 loss: 1.6861 2022/08/08 21:52:42 - mmengine - INFO - Epoch(train) [16][420/1879] lr: 2.0000e-02 eta: 11:09:51 time: 0.5679 data_time: 0.0232 memory: 13723 grad_norm: 3.8457 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6437 loss: 1.6437 2022/08/08 21:52:54 - mmengine - INFO - Epoch(train) [16][440/1879] lr: 2.0000e-02 eta: 11:09:37 time: 0.5805 data_time: 0.0230 memory: 13723 grad_norm: 3.6754 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6199 loss: 1.6199 2022/08/08 21:53:06 - mmengine - INFO - Epoch(train) [16][460/1879] lr: 2.0000e-02 eta: 11:09:26 time: 0.6380 data_time: 0.0226 memory: 13723 grad_norm: 3.7576 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5503 loss: 1.5503 2022/08/08 21:53:18 - mmengine - INFO - Epoch(train) [16][480/1879] lr: 2.0000e-02 eta: 11:09:12 time: 0.5725 data_time: 0.0242 memory: 13723 grad_norm: 3.6840 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5518 loss: 1.5518 2022/08/08 21:53:32 - mmengine - INFO - Epoch(train) [16][500/1879] lr: 2.0000e-02 eta: 11:09:03 time: 0.6885 data_time: 0.0236 memory: 13723 grad_norm: 3.8482 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7715 loss: 1.7715 2022/08/08 21:53:43 - mmengine - INFO - Epoch(train) [16][520/1879] lr: 2.0000e-02 eta: 11:08:49 time: 0.5804 data_time: 0.0218 memory: 13723 grad_norm: 3.8357 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5720 loss: 1.5720 2022/08/08 21:53:56 - mmengine - INFO - Epoch(train) [16][540/1879] lr: 2.0000e-02 eta: 11:08:38 time: 0.6500 data_time: 0.0231 memory: 13723 grad_norm: 3.7562 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6570 loss: 1.6570 2022/08/08 21:54:11 - mmengine - INFO - Epoch(train) [16][560/1879] lr: 2.0000e-02 eta: 11:08:31 time: 0.7201 data_time: 0.0200 memory: 13723 grad_norm: 3.8276 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7523 loss: 1.7523 2022/08/08 21:54:23 - mmengine - INFO - Epoch(train) [16][580/1879] lr: 2.0000e-02 eta: 11:08:18 time: 0.5983 data_time: 0.0247 memory: 13723 grad_norm: 3.7499 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5305 loss: 1.5305 2022/08/08 21:54:36 - mmengine - INFO - Epoch(train) [16][600/1879] lr: 2.0000e-02 eta: 11:08:07 time: 0.6617 data_time: 0.0207 memory: 13723 grad_norm: 3.7980 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7924 loss: 1.7924 2022/08/08 21:54:49 - mmengine - INFO - Epoch(train) [16][620/1879] lr: 2.0000e-02 eta: 11:07:56 time: 0.6394 data_time: 0.0234 memory: 13723 grad_norm: 3.8867 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8299 loss: 1.8299 2022/08/08 21:55:00 - mmengine - INFO - Epoch(train) [16][640/1879] lr: 2.0000e-02 eta: 11:07:42 time: 0.5805 data_time: 0.0234 memory: 13723 grad_norm: 3.8578 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6822 loss: 1.6822 2022/08/08 21:55:12 - mmengine - INFO - Epoch(train) [16][660/1879] lr: 2.0000e-02 eta: 11:07:29 time: 0.5967 data_time: 0.0285 memory: 13723 grad_norm: 3.8582 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7288 loss: 1.7288 2022/08/08 21:55:25 - mmengine - INFO - Epoch(train) [16][680/1879] lr: 2.0000e-02 eta: 11:07:18 time: 0.6398 data_time: 0.0270 memory: 13723 grad_norm: 3.7695 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5689 loss: 1.5689 2022/08/08 21:55:38 - mmengine - INFO - Epoch(train) [16][700/1879] lr: 2.0000e-02 eta: 11:07:08 time: 0.6684 data_time: 0.0211 memory: 13723 grad_norm: 3.7859 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5747 loss: 1.5747 2022/08/08 21:55:50 - mmengine - INFO - Epoch(train) [16][720/1879] lr: 2.0000e-02 eta: 11:06:54 time: 0.5722 data_time: 0.0266 memory: 13723 grad_norm: 3.7968 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6602 loss: 1.6602 2022/08/08 21:56:02 - mmengine - INFO - Epoch(train) [16][740/1879] lr: 2.0000e-02 eta: 11:06:41 time: 0.6054 data_time: 0.0231 memory: 13723 grad_norm: 3.7606 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.6474 loss: 1.6474 2022/08/08 21:56:13 - mmengine - INFO - Epoch(train) [16][760/1879] lr: 2.0000e-02 eta: 11:06:27 time: 0.5771 data_time: 0.0259 memory: 13723 grad_norm: 3.7025 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6805 loss: 1.6805 2022/08/08 21:56:25 - mmengine - INFO - Epoch(train) [16][780/1879] lr: 2.0000e-02 eta: 11:06:13 time: 0.5763 data_time: 0.0240 memory: 13723 grad_norm: 3.7268 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6934 loss: 1.6934 2022/08/08 21:56:37 - mmengine - INFO - Epoch(train) [16][800/1879] lr: 2.0000e-02 eta: 11:05:59 time: 0.5815 data_time: 0.0233 memory: 13723 grad_norm: 3.7392 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6187 loss: 1.6187 2022/08/08 21:56:46 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 21:56:49 - mmengine - INFO - Epoch(train) [16][820/1879] lr: 2.0000e-02 eta: 11:05:47 time: 0.6167 data_time: 0.0222 memory: 13723 grad_norm: 3.7958 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6056 loss: 1.6056 2022/08/08 21:57:01 - mmengine - INFO - Epoch(train) [16][840/1879] lr: 2.0000e-02 eta: 11:05:33 time: 0.5820 data_time: 0.0276 memory: 13723 grad_norm: 3.8196 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6454 loss: 1.6454 2022/08/08 21:57:12 - mmengine - INFO - Epoch(train) [16][860/1879] lr: 2.0000e-02 eta: 11:05:19 time: 0.5785 data_time: 0.0210 memory: 13723 grad_norm: 3.8746 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6606 loss: 1.6606 2022/08/08 21:57:25 - mmengine - INFO - Epoch(train) [16][880/1879] lr: 2.0000e-02 eta: 11:05:09 time: 0.6567 data_time: 0.0204 memory: 13723 grad_norm: 3.6712 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6435 loss: 1.6435 2022/08/08 21:57:37 - mmengine - INFO - Epoch(train) [16][900/1879] lr: 2.0000e-02 eta: 11:04:56 time: 0.6089 data_time: 0.0406 memory: 13723 grad_norm: 3.8392 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7003 loss: 1.7003 2022/08/08 21:57:50 - mmengine - INFO - Epoch(train) [16][920/1879] lr: 2.0000e-02 eta: 11:04:44 time: 0.6212 data_time: 0.0218 memory: 13723 grad_norm: 3.8049 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6395 loss: 1.6395 2022/08/08 21:58:01 - mmengine - INFO - Epoch(train) [16][940/1879] lr: 2.0000e-02 eta: 11:04:30 time: 0.5785 data_time: 0.0241 memory: 13723 grad_norm: 3.7522 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7556 loss: 1.7556 2022/08/08 21:58:13 - mmengine - INFO - Epoch(train) [16][960/1879] lr: 2.0000e-02 eta: 11:04:17 time: 0.5827 data_time: 0.0235 memory: 13723 grad_norm: 3.7970 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3534 loss: 1.3534 2022/08/08 21:58:25 - mmengine - INFO - Epoch(train) [16][980/1879] lr: 2.0000e-02 eta: 11:04:04 time: 0.6115 data_time: 0.0482 memory: 13723 grad_norm: 3.7058 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5576 loss: 1.5576 2022/08/08 21:58:37 - mmengine - INFO - Epoch(train) [16][1000/1879] lr: 2.0000e-02 eta: 11:03:50 time: 0.5763 data_time: 0.0245 memory: 13723 grad_norm: 3.7018 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6683 loss: 1.6683 2022/08/08 21:58:51 - mmengine - INFO - Epoch(train) [16][1020/1879] lr: 2.0000e-02 eta: 11:03:41 time: 0.6902 data_time: 0.0387 memory: 13723 grad_norm: 3.8567 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7680 loss: 1.7680 2022/08/08 21:59:02 - mmengine - INFO - Epoch(train) [16][1040/1879] lr: 2.0000e-02 eta: 11:03:27 time: 0.5839 data_time: 0.0282 memory: 13723 grad_norm: 3.7752 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4890 loss: 1.4890 2022/08/08 21:59:14 - mmengine - INFO - Epoch(train) [16][1060/1879] lr: 2.0000e-02 eta: 11:03:13 time: 0.5744 data_time: 0.0252 memory: 13723 grad_norm: 3.7678 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7457 loss: 1.7457 2022/08/08 21:59:26 - mmengine - INFO - Epoch(train) [16][1080/1879] lr: 2.0000e-02 eta: 11:03:00 time: 0.5996 data_time: 0.0246 memory: 13723 grad_norm: 3.8504 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6911 loss: 1.6911 2022/08/08 21:59:40 - mmengine - INFO - Epoch(train) [16][1100/1879] lr: 2.0000e-02 eta: 11:02:52 time: 0.7020 data_time: 0.0232 memory: 13723 grad_norm: 3.9088 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8936 loss: 1.8936 2022/08/08 21:59:51 - mmengine - INFO - Epoch(train) [16][1120/1879] lr: 2.0000e-02 eta: 11:02:38 time: 0.5735 data_time: 0.0219 memory: 13723 grad_norm: 3.7592 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5889 loss: 1.5889 2022/08/08 22:00:04 - mmengine - INFO - Epoch(train) [16][1140/1879] lr: 2.0000e-02 eta: 11:02:27 time: 0.6432 data_time: 0.0241 memory: 13723 grad_norm: 3.6858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6248 loss: 1.6248 2022/08/08 22:00:21 - mmengine - INFO - Epoch(train) [16][1160/1879] lr: 2.0000e-02 eta: 11:02:24 time: 0.8309 data_time: 0.0195 memory: 13723 grad_norm: 3.7958 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7754 loss: 1.7754 2022/08/08 22:00:34 - mmengine - INFO - Epoch(train) [16][1180/1879] lr: 2.0000e-02 eta: 11:02:13 time: 0.6525 data_time: 0.0227 memory: 13723 grad_norm: 3.7007 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5559 loss: 1.5559 2022/08/08 22:00:46 - mmengine - INFO - Epoch(train) [16][1200/1879] lr: 2.0000e-02 eta: 11:01:59 time: 0.5776 data_time: 0.0266 memory: 13723 grad_norm: 3.7426 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6829 loss: 1.6829 2022/08/08 22:00:57 - mmengine - INFO - Epoch(train) [16][1220/1879] lr: 2.0000e-02 eta: 11:01:46 time: 0.5827 data_time: 0.0218 memory: 13723 grad_norm: 3.8187 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6650 loss: 1.6650 2022/08/08 22:01:09 - mmengine - INFO - Epoch(train) [16][1240/1879] lr: 2.0000e-02 eta: 11:01:31 time: 0.5731 data_time: 0.0242 memory: 13723 grad_norm: 3.8039 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6339 loss: 1.6339 2022/08/08 22:01:20 - mmengine - INFO - Epoch(train) [16][1260/1879] lr: 2.0000e-02 eta: 11:01:17 time: 0.5742 data_time: 0.0244 memory: 13723 grad_norm: 3.7147 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8712 loss: 1.8712 2022/08/08 22:01:32 - mmengine - INFO - Epoch(train) [16][1280/1879] lr: 2.0000e-02 eta: 11:01:04 time: 0.5824 data_time: 0.0268 memory: 13723 grad_norm: 3.7775 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8600 loss: 1.8600 2022/08/08 22:01:43 - mmengine - INFO - Epoch(train) [16][1300/1879] lr: 2.0000e-02 eta: 11:00:50 time: 0.5816 data_time: 0.0234 memory: 13723 grad_norm: 3.7724 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7398 loss: 1.7398 2022/08/08 22:01:55 - mmengine - INFO - Epoch(train) [16][1320/1879] lr: 2.0000e-02 eta: 11:00:37 time: 0.6027 data_time: 0.0244 memory: 13723 grad_norm: 3.6791 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7315 loss: 1.7315 2022/08/08 22:02:07 - mmengine - INFO - Epoch(train) [16][1340/1879] lr: 2.0000e-02 eta: 11:00:23 time: 0.5759 data_time: 0.0257 memory: 13723 grad_norm: 3.7861 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5528 loss: 1.5528 2022/08/08 22:02:18 - mmengine - INFO - Epoch(train) [16][1360/1879] lr: 2.0000e-02 eta: 11:00:09 time: 0.5730 data_time: 0.0244 memory: 13723 grad_norm: 3.7204 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6544 loss: 1.6544 2022/08/08 22:02:30 - mmengine - INFO - Epoch(train) [16][1380/1879] lr: 2.0000e-02 eta: 10:59:55 time: 0.5778 data_time: 0.0234 memory: 13723 grad_norm: 3.7601 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7397 loss: 1.7397 2022/08/08 22:02:42 - mmengine - INFO - Epoch(train) [16][1400/1879] lr: 2.0000e-02 eta: 10:59:41 time: 0.5824 data_time: 0.0237 memory: 13723 grad_norm: 3.8023 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7598 loss: 1.7598 2022/08/08 22:02:53 - mmengine - INFO - Epoch(train) [16][1420/1879] lr: 2.0000e-02 eta: 10:59:28 time: 0.5866 data_time: 0.0248 memory: 13723 grad_norm: 3.6643 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7031 loss: 1.7031 2022/08/08 22:03:06 - mmengine - INFO - Epoch(train) [16][1440/1879] lr: 2.0000e-02 eta: 10:59:16 time: 0.6182 data_time: 0.0229 memory: 13723 grad_norm: 3.8362 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8645 loss: 1.8645 2022/08/08 22:03:18 - mmengine - INFO - Epoch(train) [16][1460/1879] lr: 2.0000e-02 eta: 10:59:03 time: 0.6138 data_time: 0.0213 memory: 13723 grad_norm: 3.8619 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7264 loss: 1.7264 2022/08/08 22:03:32 - mmengine - INFO - Epoch(train) [16][1480/1879] lr: 2.0000e-02 eta: 10:58:54 time: 0.6899 data_time: 0.0210 memory: 13723 grad_norm: 3.7655 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5500 loss: 1.5500 2022/08/08 22:03:43 - mmengine - INFO - Epoch(train) [16][1500/1879] lr: 2.0000e-02 eta: 10:58:40 time: 0.5760 data_time: 0.0241 memory: 13723 grad_norm: 3.7444 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6273 loss: 1.6273 2022/08/08 22:03:55 - mmengine - INFO - Epoch(train) [16][1520/1879] lr: 2.0000e-02 eta: 10:58:26 time: 0.5729 data_time: 0.0254 memory: 13723 grad_norm: 3.8270 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6258 loss: 1.6258 2022/08/08 22:04:07 - mmengine - INFO - Epoch(train) [16][1540/1879] lr: 2.0000e-02 eta: 10:58:13 time: 0.5904 data_time: 0.0232 memory: 13723 grad_norm: 3.7252 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8559 loss: 1.8559 2022/08/08 22:04:18 - mmengine - INFO - Epoch(train) [16][1560/1879] lr: 2.0000e-02 eta: 10:57:59 time: 0.5877 data_time: 0.0240 memory: 13723 grad_norm: 3.7356 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6674 loss: 1.6674 2022/08/08 22:04:30 - mmengine - INFO - Epoch(train) [16][1580/1879] lr: 2.0000e-02 eta: 10:57:45 time: 0.5753 data_time: 0.0238 memory: 13723 grad_norm: 3.8201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5798 loss: 1.5798 2022/08/08 22:04:41 - mmengine - INFO - Epoch(train) [16][1600/1879] lr: 2.0000e-02 eta: 10:57:31 time: 0.5737 data_time: 0.0247 memory: 13723 grad_norm: 3.7492 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7141 loss: 1.7141 2022/08/08 22:04:53 - mmengine - INFO - Epoch(train) [16][1620/1879] lr: 2.0000e-02 eta: 10:57:17 time: 0.5761 data_time: 0.0262 memory: 13723 grad_norm: 3.6942 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6597 loss: 1.6597 2022/08/08 22:05:04 - mmengine - INFO - Epoch(train) [16][1640/1879] lr: 2.0000e-02 eta: 10:57:03 time: 0.5715 data_time: 0.0259 memory: 13723 grad_norm: 3.8105 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6069 loss: 1.6069 2022/08/08 22:05:20 - mmengine - INFO - Epoch(train) [16][1660/1879] lr: 2.0000e-02 eta: 10:56:58 time: 0.7776 data_time: 0.0792 memory: 13723 grad_norm: 3.6995 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6473 loss: 1.6473 2022/08/08 22:05:32 - mmengine - INFO - Epoch(train) [16][1680/1879] lr: 2.0000e-02 eta: 10:56:45 time: 0.6059 data_time: 0.0241 memory: 13723 grad_norm: 3.7473 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5344 loss: 1.5344 2022/08/08 22:05:44 - mmengine - INFO - Epoch(train) [16][1700/1879] lr: 2.0000e-02 eta: 10:56:32 time: 0.5918 data_time: 0.0232 memory: 13723 grad_norm: 3.7914 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7778 loss: 1.7778 2022/08/08 22:05:56 - mmengine - INFO - Epoch(train) [16][1720/1879] lr: 2.0000e-02 eta: 10:56:18 time: 0.5850 data_time: 0.0240 memory: 13723 grad_norm: 3.7717 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7512 loss: 1.7512 2022/08/08 22:06:07 - mmengine - INFO - Epoch(train) [16][1740/1879] lr: 2.0000e-02 eta: 10:56:04 time: 0.5796 data_time: 0.0250 memory: 13723 grad_norm: 3.7084 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7347 loss: 1.7347 2022/08/08 22:06:20 - mmengine - INFO - Epoch(train) [16][1760/1879] lr: 2.0000e-02 eta: 10:55:52 time: 0.6136 data_time: 0.0233 memory: 13723 grad_norm: 3.7585 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6603 loss: 1.6603 2022/08/08 22:06:31 - mmengine - INFO - Epoch(train) [16][1780/1879] lr: 2.0000e-02 eta: 10:55:39 time: 0.5873 data_time: 0.0246 memory: 13723 grad_norm: 3.7827 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6027 loss: 1.6027 2022/08/08 22:06:44 - mmengine - INFO - Epoch(train) [16][1800/1879] lr: 2.0000e-02 eta: 10:55:26 time: 0.6192 data_time: 0.0212 memory: 13723 grad_norm: 3.7700 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7201 loss: 1.7201 2022/08/08 22:06:52 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 22:06:55 - mmengine - INFO - Epoch(train) [16][1820/1879] lr: 2.0000e-02 eta: 10:55:12 time: 0.5745 data_time: 0.0235 memory: 13723 grad_norm: 3.7745 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8752 loss: 1.8752 2022/08/08 22:07:07 - mmengine - INFO - Epoch(train) [16][1840/1879] lr: 2.0000e-02 eta: 10:54:58 time: 0.5715 data_time: 0.0263 memory: 13723 grad_norm: 3.7799 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5884 loss: 1.5884 2022/08/08 22:07:18 - mmengine - INFO - Epoch(train) [16][1860/1879] lr: 2.0000e-02 eta: 10:54:45 time: 0.5901 data_time: 0.0240 memory: 13723 grad_norm: 3.7362 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7312 loss: 1.7312 2022/08/08 22:07:29 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 22:07:29 - mmengine - INFO - Epoch(train) [16][1879/1879] lr: 2.0000e-02 eta: 10:54:45 time: 0.5378 data_time: 0.0170 memory: 13723 grad_norm: 3.9093 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.8398 loss: 1.8398 2022/08/08 22:07:42 - mmengine - INFO - Epoch(val) [16][20/155] eta: 0:01:32 time: 0.6817 data_time: 0.5404 memory: 1829 2022/08/08 22:07:51 - mmengine - INFO - Epoch(val) [16][40/155] eta: 0:00:47 time: 0.4161 data_time: 0.2759 memory: 1829 2022/08/08 22:08:02 - mmengine - INFO - Epoch(val) [16][60/155] eta: 0:00:55 time: 0.5805 data_time: 0.4401 memory: 1829 2022/08/08 22:08:13 - mmengine - INFO - Epoch(val) [16][80/155] eta: 0:00:39 time: 0.5301 data_time: 0.3920 memory: 1829 2022/08/08 22:08:23 - mmengine - INFO - Epoch(val) [16][100/155] eta: 0:00:28 time: 0.5169 data_time: 0.3773 memory: 1829 2022/08/08 22:08:37 - mmengine - INFO - Epoch(val) [16][120/155] eta: 0:00:24 time: 0.6943 data_time: 0.5573 memory: 1829 2022/08/08 22:08:46 - mmengine - INFO - Epoch(val) [16][140/155] eta: 0:00:07 time: 0.4732 data_time: 0.3367 memory: 1829 2022/08/08 22:09:04 - mmengine - INFO - Epoch(val) [16][155/155] acc/top1: 0.6059 acc/top5: 0.8383 acc/mean1: 0.6057 2022/08/08 22:09:04 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_16.pth is removed 2022/08/08 22:09:05 - mmengine - INFO - The best checkpoint with 0.6059 acc/top1 at 17 epoch is saved to best_acc/top1_epoch_17.pth. 2022/08/08 22:09:21 - mmengine - INFO - Epoch(train) [17][20/1879] lr: 2.0000e-02 eta: 10:54:05 time: 0.8255 data_time: 0.2347 memory: 13723 grad_norm: 3.6812 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6332 loss: 1.6332 2022/08/08 22:09:34 - mmengine - INFO - Epoch(train) [17][40/1879] lr: 2.0000e-02 eta: 10:53:53 time: 0.6184 data_time: 0.0211 memory: 13723 grad_norm: 3.6994 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5884 loss: 1.5884 2022/08/08 22:09:47 - mmengine - INFO - Epoch(train) [17][60/1879] lr: 2.0000e-02 eta: 10:53:43 time: 0.6675 data_time: 0.0386 memory: 13723 grad_norm: 3.7432 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6515 loss: 1.6515 2022/08/08 22:09:59 - mmengine - INFO - Epoch(train) [17][80/1879] lr: 2.0000e-02 eta: 10:53:29 time: 0.5727 data_time: 0.0228 memory: 13723 grad_norm: 3.7472 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5496 loss: 1.5496 2022/08/08 22:10:10 - mmengine - INFO - Epoch(train) [17][100/1879] lr: 2.0000e-02 eta: 10:53:16 time: 0.5931 data_time: 0.0342 memory: 13723 grad_norm: 3.7710 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2992 loss: 1.2992 2022/08/08 22:10:22 - mmengine - INFO - Epoch(train) [17][120/1879] lr: 2.0000e-02 eta: 10:53:02 time: 0.5786 data_time: 0.0253 memory: 13723 grad_norm: 3.7936 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6217 loss: 1.6217 2022/08/08 22:10:35 - mmengine - INFO - Epoch(train) [17][140/1879] lr: 2.0000e-02 eta: 10:52:50 time: 0.6272 data_time: 0.0514 memory: 13723 grad_norm: 3.7114 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5505 loss: 1.5505 2022/08/08 22:10:47 - mmengine - INFO - Epoch(train) [17][160/1879] lr: 2.0000e-02 eta: 10:52:39 time: 0.6338 data_time: 0.0737 memory: 13723 grad_norm: 3.8375 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5715 loss: 1.5715 2022/08/08 22:10:59 - mmengine - INFO - Epoch(train) [17][180/1879] lr: 2.0000e-02 eta: 10:52:25 time: 0.5791 data_time: 0.0273 memory: 13723 grad_norm: 3.7922 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5825 loss: 1.5825 2022/08/08 22:11:10 - mmengine - INFO - Epoch(train) [17][200/1879] lr: 2.0000e-02 eta: 10:52:11 time: 0.5762 data_time: 0.0214 memory: 13723 grad_norm: 3.7481 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4444 loss: 1.4444 2022/08/08 22:11:23 - mmengine - INFO - Epoch(train) [17][220/1879] lr: 2.0000e-02 eta: 10:52:00 time: 0.6352 data_time: 0.0723 memory: 13723 grad_norm: 3.7920 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5015 loss: 1.5015 2022/08/08 22:11:35 - mmengine - INFO - Epoch(train) [17][240/1879] lr: 2.0000e-02 eta: 10:51:46 time: 0.5847 data_time: 0.0196 memory: 13723 grad_norm: 3.8228 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6578 loss: 1.6578 2022/08/08 22:11:48 - mmengine - INFO - Epoch(train) [17][260/1879] lr: 2.0000e-02 eta: 10:51:35 time: 0.6437 data_time: 0.0237 memory: 13723 grad_norm: 3.7320 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5976 loss: 1.5976 2022/08/08 22:12:00 - mmengine - INFO - Epoch(train) [17][280/1879] lr: 2.0000e-02 eta: 10:51:22 time: 0.6003 data_time: 0.0228 memory: 13723 grad_norm: 3.6257 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5577 loss: 1.5577 2022/08/08 22:12:11 - mmengine - INFO - Epoch(train) [17][300/1879] lr: 2.0000e-02 eta: 10:51:08 time: 0.5796 data_time: 0.0236 memory: 13723 grad_norm: 3.6788 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6364 loss: 1.6364 2022/08/08 22:12:23 - mmengine - INFO - Epoch(train) [17][320/1879] lr: 2.0000e-02 eta: 10:50:55 time: 0.5895 data_time: 0.0245 memory: 13723 grad_norm: 3.9028 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8354 loss: 1.8354 2022/08/08 22:12:35 - mmengine - INFO - Epoch(train) [17][340/1879] lr: 2.0000e-02 eta: 10:50:42 time: 0.6070 data_time: 0.0250 memory: 13723 grad_norm: 3.6860 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6397 loss: 1.6397 2022/08/08 22:12:47 - mmengine - INFO - Epoch(train) [17][360/1879] lr: 2.0000e-02 eta: 10:50:29 time: 0.5903 data_time: 0.0231 memory: 13723 grad_norm: 3.7859 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5875 loss: 1.5875 2022/08/08 22:12:59 - mmengine - INFO - Epoch(train) [17][380/1879] lr: 2.0000e-02 eta: 10:50:17 time: 0.6199 data_time: 0.0241 memory: 13723 grad_norm: 3.7239 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7112 loss: 1.7112 2022/08/08 22:13:11 - mmengine - INFO - Epoch(train) [17][400/1879] lr: 2.0000e-02 eta: 10:50:03 time: 0.5814 data_time: 0.0225 memory: 13723 grad_norm: 3.8612 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6567 loss: 1.6567 2022/08/08 22:13:23 - mmengine - INFO - Epoch(train) [17][420/1879] lr: 2.0000e-02 eta: 10:49:49 time: 0.5748 data_time: 0.0268 memory: 13723 grad_norm: 3.8803 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7501 loss: 1.7501 2022/08/08 22:13:34 - mmengine - INFO - Epoch(train) [17][440/1879] lr: 2.0000e-02 eta: 10:49:36 time: 0.5820 data_time: 0.0249 memory: 13723 grad_norm: 3.8163 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6371 loss: 1.6371 2022/08/08 22:13:46 - mmengine - INFO - Epoch(train) [17][460/1879] lr: 2.0000e-02 eta: 10:49:22 time: 0.5764 data_time: 0.0259 memory: 13723 grad_norm: 3.7802 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6402 loss: 1.6402 2022/08/08 22:13:58 - mmengine - INFO - Epoch(train) [17][480/1879] lr: 2.0000e-02 eta: 10:49:09 time: 0.6034 data_time: 0.0410 memory: 13723 grad_norm: 3.8112 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5666 loss: 1.5666 2022/08/08 22:14:09 - mmengine - INFO - Epoch(train) [17][500/1879] lr: 2.0000e-02 eta: 10:48:55 time: 0.5775 data_time: 0.0299 memory: 13723 grad_norm: 3.7500 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6462 loss: 1.6462 2022/08/08 22:14:22 - mmengine - INFO - Epoch(train) [17][520/1879] lr: 2.0000e-02 eta: 10:48:45 time: 0.6536 data_time: 0.0208 memory: 13723 grad_norm: 3.8267 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6378 loss: 1.6378 2022/08/08 22:14:34 - mmengine - INFO - Epoch(train) [17][540/1879] lr: 2.0000e-02 eta: 10:48:31 time: 0.5806 data_time: 0.0255 memory: 13723 grad_norm: 3.9251 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7337 loss: 1.7337 2022/08/08 22:14:49 - mmengine - INFO - Epoch(train) [17][560/1879] lr: 2.0000e-02 eta: 10:48:25 time: 0.7550 data_time: 0.0213 memory: 13723 grad_norm: 3.8657 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5399 loss: 1.5399 2022/08/08 22:15:01 - mmengine - INFO - Epoch(train) [17][580/1879] lr: 2.0000e-02 eta: 10:48:10 time: 0.5679 data_time: 0.0210 memory: 13723 grad_norm: 3.8778 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5897 loss: 1.5897 2022/08/08 22:15:15 - mmengine - INFO - Epoch(train) [17][600/1879] lr: 2.0000e-02 eta: 10:48:02 time: 0.6998 data_time: 0.0224 memory: 13723 grad_norm: 3.8600 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6654 loss: 1.6654 2022/08/08 22:15:27 - mmengine - INFO - Epoch(train) [17][620/1879] lr: 2.0000e-02 eta: 10:47:50 time: 0.6314 data_time: 0.0388 memory: 13723 grad_norm: 3.8613 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5727 loss: 1.5727 2022/08/08 22:15:40 - mmengine - INFO - Epoch(train) [17][640/1879] lr: 2.0000e-02 eta: 10:47:39 time: 0.6376 data_time: 0.0183 memory: 13723 grad_norm: 3.8332 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6672 loss: 1.6672 2022/08/08 22:15:51 - mmengine - INFO - Epoch(train) [17][660/1879] lr: 2.0000e-02 eta: 10:47:24 time: 0.5648 data_time: 0.0233 memory: 13723 grad_norm: 3.8095 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5234 loss: 1.5234 2022/08/08 22:16:03 - mmengine - INFO - Epoch(train) [17][680/1879] lr: 2.0000e-02 eta: 10:47:11 time: 0.5778 data_time: 0.0248 memory: 13723 grad_norm: 3.7530 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8431 loss: 1.8431 2022/08/08 22:16:15 - mmengine - INFO - Epoch(train) [17][700/1879] lr: 2.0000e-02 eta: 10:46:57 time: 0.5892 data_time: 0.0241 memory: 13723 grad_norm: 3.7932 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6934 loss: 1.6934 2022/08/08 22:16:27 - mmengine - INFO - Epoch(train) [17][720/1879] lr: 2.0000e-02 eta: 10:46:45 time: 0.6068 data_time: 0.0223 memory: 13723 grad_norm: 3.6386 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5953 loss: 1.5953 2022/08/08 22:16:39 - mmengine - INFO - Epoch(train) [17][740/1879] lr: 2.0000e-02 eta: 10:46:32 time: 0.6167 data_time: 0.0219 memory: 13723 grad_norm: 3.8648 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5408 loss: 1.5408 2022/08/08 22:16:51 - mmengine - INFO - Epoch(train) [17][760/1879] lr: 2.0000e-02 eta: 10:46:19 time: 0.5831 data_time: 0.0235 memory: 13723 grad_norm: 3.7132 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6476 loss: 1.6476 2022/08/08 22:17:02 - mmengine - INFO - Epoch(train) [17][780/1879] lr: 2.0000e-02 eta: 10:46:05 time: 0.5807 data_time: 0.0250 memory: 13723 grad_norm: 3.7550 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6343 loss: 1.6343 2022/08/08 22:17:14 - mmengine - INFO - Epoch(train) [17][800/1879] lr: 2.0000e-02 eta: 10:45:51 time: 0.5770 data_time: 0.0279 memory: 13723 grad_norm: 3.7998 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7417 loss: 1.7417 2022/08/08 22:17:27 - mmengine - INFO - Epoch(train) [17][820/1879] lr: 2.0000e-02 eta: 10:45:41 time: 0.6534 data_time: 0.0210 memory: 13723 grad_norm: 3.8066 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5598 loss: 1.5598 2022/08/08 22:17:38 - mmengine - INFO - Epoch(train) [17][840/1879] lr: 2.0000e-02 eta: 10:45:27 time: 0.5704 data_time: 0.0218 memory: 13723 grad_norm: 3.8615 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7250 loss: 1.7250 2022/08/08 22:17:51 - mmengine - INFO - Epoch(train) [17][860/1879] lr: 2.0000e-02 eta: 10:45:16 time: 0.6515 data_time: 0.0221 memory: 13723 grad_norm: 3.7623 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6616 loss: 1.6616 2022/08/08 22:18:03 - mmengine - INFO - Epoch(train) [17][880/1879] lr: 2.0000e-02 eta: 10:45:02 time: 0.5805 data_time: 0.0248 memory: 13723 grad_norm: 3.8393 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7014 loss: 1.7014 2022/08/08 22:18:15 - mmengine - INFO - Epoch(train) [17][900/1879] lr: 2.0000e-02 eta: 10:44:49 time: 0.5927 data_time: 0.0221 memory: 13723 grad_norm: 3.8774 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6827 loss: 1.6827 2022/08/08 22:18:28 - mmengine - INFO - Epoch(train) [17][920/1879] lr: 2.0000e-02 eta: 10:44:38 time: 0.6345 data_time: 0.0211 memory: 13723 grad_norm: 3.8570 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6339 loss: 1.6339 2022/08/08 22:18:38 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 22:18:40 - mmengine - INFO - Epoch(train) [17][940/1879] lr: 2.0000e-02 eta: 10:44:26 time: 0.6245 data_time: 0.0242 memory: 13723 grad_norm: 3.8512 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8407 loss: 1.8407 2022/08/08 22:18:52 - mmengine - INFO - Epoch(train) [17][960/1879] lr: 2.0000e-02 eta: 10:44:13 time: 0.6097 data_time: 0.0227 memory: 13723 grad_norm: 3.7003 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6957 loss: 1.6957 2022/08/08 22:19:04 - mmengine - INFO - Epoch(train) [17][980/1879] lr: 2.0000e-02 eta: 10:43:59 time: 0.5738 data_time: 0.0246 memory: 13723 grad_norm: 3.8106 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7344 loss: 1.7344 2022/08/08 22:19:15 - mmengine - INFO - Epoch(train) [17][1000/1879] lr: 2.0000e-02 eta: 10:43:45 time: 0.5727 data_time: 0.0227 memory: 13723 grad_norm: 3.7687 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5698 loss: 1.5698 2022/08/08 22:19:27 - mmengine - INFO - Epoch(train) [17][1020/1879] lr: 2.0000e-02 eta: 10:43:32 time: 0.5773 data_time: 0.0231 memory: 13723 grad_norm: 3.8816 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8540 loss: 1.8540 2022/08/08 22:19:38 - mmengine - INFO - Epoch(train) [17][1040/1879] lr: 2.0000e-02 eta: 10:43:18 time: 0.5840 data_time: 0.0237 memory: 13723 grad_norm: 3.7739 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7118 loss: 1.7118 2022/08/08 22:19:51 - mmengine - INFO - Epoch(train) [17][1060/1879] lr: 2.0000e-02 eta: 10:43:06 time: 0.6258 data_time: 0.0228 memory: 13723 grad_norm: 3.6591 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6844 loss: 1.6844 2022/08/08 22:20:03 - mmengine - INFO - Epoch(train) [17][1080/1879] lr: 2.0000e-02 eta: 10:42:54 time: 0.6041 data_time: 0.0234 memory: 13723 grad_norm: 3.6773 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6109 loss: 1.6109 2022/08/08 22:20:16 - mmengine - INFO - Epoch(train) [17][1100/1879] lr: 2.0000e-02 eta: 10:42:42 time: 0.6269 data_time: 0.0369 memory: 13723 grad_norm: 3.8137 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7210 loss: 1.7210 2022/08/08 22:20:31 - mmengine - INFO - Epoch(train) [17][1120/1879] lr: 2.0000e-02 eta: 10:42:35 time: 0.7456 data_time: 0.0203 memory: 13723 grad_norm: 3.8797 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6193 loss: 1.6193 2022/08/08 22:20:42 - mmengine - INFO - Epoch(train) [17][1140/1879] lr: 2.0000e-02 eta: 10:42:21 time: 0.5769 data_time: 0.0246 memory: 13723 grad_norm: 3.7483 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4698 loss: 1.4698 2022/08/08 22:20:54 - mmengine - INFO - Epoch(train) [17][1160/1879] lr: 2.0000e-02 eta: 10:42:08 time: 0.5832 data_time: 0.0252 memory: 13723 grad_norm: 3.7557 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5892 loss: 1.5892 2022/08/08 22:21:08 - mmengine - INFO - Epoch(train) [17][1180/1879] lr: 2.0000e-02 eta: 10:41:59 time: 0.7070 data_time: 0.0214 memory: 13723 grad_norm: 3.6570 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8009 loss: 1.8009 2022/08/08 22:21:20 - mmengine - INFO - Epoch(train) [17][1200/1879] lr: 2.0000e-02 eta: 10:41:45 time: 0.5852 data_time: 0.0226 memory: 13723 grad_norm: 3.7403 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7109 loss: 1.7109 2022/08/08 22:21:31 - mmengine - INFO - Epoch(train) [17][1220/1879] lr: 2.0000e-02 eta: 10:41:32 time: 0.5895 data_time: 0.0232 memory: 13723 grad_norm: 3.8104 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6133 loss: 1.6133 2022/08/08 22:21:44 - mmengine - INFO - Epoch(train) [17][1240/1879] lr: 2.0000e-02 eta: 10:41:20 time: 0.6070 data_time: 0.0240 memory: 13723 grad_norm: 3.8406 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4932 loss: 1.4932 2022/08/08 22:21:55 - mmengine - INFO - Epoch(train) [17][1260/1879] lr: 2.0000e-02 eta: 10:41:06 time: 0.5842 data_time: 0.0247 memory: 13723 grad_norm: 3.8910 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9580 loss: 1.9580 2022/08/08 22:22:07 - mmengine - INFO - Epoch(train) [17][1280/1879] lr: 2.0000e-02 eta: 10:40:52 time: 0.5742 data_time: 0.0232 memory: 13723 grad_norm: 3.8119 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7364 loss: 1.7364 2022/08/08 22:22:18 - mmengine - INFO - Epoch(train) [17][1300/1879] lr: 2.0000e-02 eta: 10:40:39 time: 0.5883 data_time: 0.0270 memory: 13723 grad_norm: 3.7940 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6578 loss: 1.6578 2022/08/08 22:22:30 - mmengine - INFO - Epoch(train) [17][1320/1879] lr: 2.0000e-02 eta: 10:40:25 time: 0.5685 data_time: 0.0232 memory: 13723 grad_norm: 3.6912 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6810 loss: 1.6810 2022/08/08 22:22:42 - mmengine - INFO - Epoch(train) [17][1340/1879] lr: 2.0000e-02 eta: 10:40:12 time: 0.5875 data_time: 0.0255 memory: 13723 grad_norm: 3.7596 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5484 loss: 1.5484 2022/08/08 22:22:53 - mmengine - INFO - Epoch(train) [17][1360/1879] lr: 2.0000e-02 eta: 10:39:58 time: 0.5818 data_time: 0.0266 memory: 13723 grad_norm: 3.8626 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6464 loss: 1.6464 2022/08/08 22:23:05 - mmengine - INFO - Epoch(train) [17][1380/1879] lr: 2.0000e-02 eta: 10:39:44 time: 0.5751 data_time: 0.0234 memory: 13723 grad_norm: 3.8650 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8141 loss: 1.8141 2022/08/08 22:23:17 - mmengine - INFO - Epoch(train) [17][1400/1879] lr: 2.0000e-02 eta: 10:39:31 time: 0.5872 data_time: 0.0244 memory: 13723 grad_norm: 3.6894 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4507 loss: 1.4507 2022/08/08 22:23:28 - mmengine - INFO - Epoch(train) [17][1420/1879] lr: 2.0000e-02 eta: 10:39:17 time: 0.5783 data_time: 0.0222 memory: 13723 grad_norm: 3.8017 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5185 loss: 1.5185 2022/08/08 22:23:40 - mmengine - INFO - Epoch(train) [17][1440/1879] lr: 2.0000e-02 eta: 10:39:04 time: 0.6061 data_time: 0.0221 memory: 13723 grad_norm: 3.8003 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5051 loss: 1.5051 2022/08/08 22:23:52 - mmengine - INFO - Epoch(train) [17][1460/1879] lr: 2.0000e-02 eta: 10:38:51 time: 0.5960 data_time: 0.0232 memory: 13723 grad_norm: 3.6797 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5363 loss: 1.5363 2022/08/08 22:24:04 - mmengine - INFO - Epoch(train) [17][1480/1879] lr: 2.0000e-02 eta: 10:38:38 time: 0.5841 data_time: 0.0241 memory: 13723 grad_norm: 3.7404 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5230 loss: 1.5230 2022/08/08 22:24:16 - mmengine - INFO - Epoch(train) [17][1500/1879] lr: 2.0000e-02 eta: 10:38:26 time: 0.6143 data_time: 0.0220 memory: 13723 grad_norm: 3.7158 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6052 loss: 1.6052 2022/08/08 22:24:28 - mmengine - INFO - Epoch(train) [17][1520/1879] lr: 2.0000e-02 eta: 10:38:12 time: 0.5817 data_time: 0.0227 memory: 13723 grad_norm: 3.8211 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7310 loss: 1.7310 2022/08/08 22:24:39 - mmengine - INFO - Epoch(train) [17][1540/1879] lr: 2.0000e-02 eta: 10:37:59 time: 0.5827 data_time: 0.0249 memory: 13723 grad_norm: 3.7984 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8080 loss: 1.8080 2022/08/08 22:24:51 - mmengine - INFO - Epoch(train) [17][1560/1879] lr: 2.0000e-02 eta: 10:37:46 time: 0.5946 data_time: 0.0230 memory: 13723 grad_norm: 3.7079 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5706 loss: 1.5706 2022/08/08 22:25:03 - mmengine - INFO - Epoch(train) [17][1580/1879] lr: 2.0000e-02 eta: 10:37:32 time: 0.5736 data_time: 0.0244 memory: 13723 grad_norm: 3.7202 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5741 loss: 1.5741 2022/08/08 22:25:22 - mmengine - INFO - Epoch(train) [17][1600/1879] lr: 2.0000e-02 eta: 10:37:33 time: 0.9495 data_time: 0.0571 memory: 13723 grad_norm: 3.7704 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7015 loss: 1.7015 2022/08/08 22:25:33 - mmengine - INFO - Epoch(train) [17][1620/1879] lr: 2.0000e-02 eta: 10:37:19 time: 0.5738 data_time: 0.0240 memory: 13723 grad_norm: 3.7378 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4903 loss: 1.4903 2022/08/08 22:25:46 - mmengine - INFO - Epoch(train) [17][1640/1879] lr: 2.0000e-02 eta: 10:37:07 time: 0.6244 data_time: 0.0225 memory: 13723 grad_norm: 3.8520 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6454 loss: 1.6454 2022/08/08 22:25:57 - mmengine - INFO - Epoch(train) [17][1660/1879] lr: 2.0000e-02 eta: 10:36:53 time: 0.5779 data_time: 0.0236 memory: 13723 grad_norm: 3.8036 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6185 loss: 1.6185 2022/08/08 22:26:09 - mmengine - INFO - Epoch(train) [17][1680/1879] lr: 2.0000e-02 eta: 10:36:40 time: 0.5977 data_time: 0.0244 memory: 13723 grad_norm: 3.6009 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7404 loss: 1.7404 2022/08/08 22:26:21 - mmengine - INFO - Epoch(train) [17][1700/1879] lr: 2.0000e-02 eta: 10:36:26 time: 0.5717 data_time: 0.0223 memory: 13723 grad_norm: 3.7841 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7162 loss: 1.7162 2022/08/08 22:26:33 - mmengine - INFO - Epoch(train) [17][1720/1879] lr: 2.0000e-02 eta: 10:36:13 time: 0.5988 data_time: 0.0226 memory: 13723 grad_norm: 3.8330 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5331 loss: 1.5331 2022/08/08 22:26:45 - mmengine - INFO - Epoch(train) [17][1740/1879] lr: 2.0000e-02 eta: 10:36:02 time: 0.6376 data_time: 0.0227 memory: 13723 grad_norm: 3.6519 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3873 loss: 1.3873 2022/08/08 22:26:58 - mmengine - INFO - Epoch(train) [17][1760/1879] lr: 2.0000e-02 eta: 10:35:49 time: 0.6037 data_time: 0.0218 memory: 13723 grad_norm: 3.7284 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.7993 loss: 1.7993 2022/08/08 22:27:10 - mmengine - INFO - Epoch(train) [17][1780/1879] lr: 2.0000e-02 eta: 10:35:37 time: 0.6212 data_time: 0.0287 memory: 13723 grad_norm: 3.8700 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7886 loss: 1.7886 2022/08/08 22:27:23 - mmengine - INFO - Epoch(train) [17][1800/1879] lr: 2.0000e-02 eta: 10:35:27 time: 0.6714 data_time: 0.0192 memory: 13723 grad_norm: 3.7705 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5227 loss: 1.5227 2022/08/08 22:27:35 - mmengine - INFO - Epoch(train) [17][1820/1879] lr: 2.0000e-02 eta: 10:35:14 time: 0.5792 data_time: 0.0253 memory: 13723 grad_norm: 3.7610 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7643 loss: 1.7643 2022/08/08 22:27:47 - mmengine - INFO - Epoch(train) [17][1840/1879] lr: 2.0000e-02 eta: 10:35:02 time: 0.6230 data_time: 0.0243 memory: 13723 grad_norm: 3.7510 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6679 loss: 1.6679 2022/08/08 22:27:59 - mmengine - INFO - Epoch(train) [17][1860/1879] lr: 2.0000e-02 eta: 10:34:48 time: 0.5754 data_time: 0.0226 memory: 13723 grad_norm: 3.7412 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7726 loss: 1.7726 2022/08/08 22:28:09 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 22:28:09 - mmengine - INFO - Epoch(train) [17][1879/1879] lr: 2.0000e-02 eta: 10:34:48 time: 0.5474 data_time: 0.0164 memory: 13723 grad_norm: 3.8696 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.6893 loss: 1.6893 2022/08/08 22:28:22 - mmengine - INFO - Epoch(val) [17][20/155] eta: 0:01:27 time: 0.6481 data_time: 0.5051 memory: 1829 2022/08/08 22:28:31 - mmengine - INFO - Epoch(val) [17][40/155] eta: 0:00:51 time: 0.4502 data_time: 0.3117 memory: 1829 2022/08/08 22:28:43 - mmengine - INFO - Epoch(val) [17][60/155] eta: 0:00:54 time: 0.5689 data_time: 0.4306 memory: 1829 2022/08/08 22:28:51 - mmengine - INFO - Epoch(val) [17][80/155] eta: 0:00:31 time: 0.4182 data_time: 0.2803 memory: 1829 2022/08/08 22:29:03 - mmengine - INFO - Epoch(val) [17][100/155] eta: 0:00:31 time: 0.5767 data_time: 0.4368 memory: 1829 2022/08/08 22:29:12 - mmengine - INFO - Epoch(val) [17][120/155] eta: 0:00:16 time: 0.4710 data_time: 0.3327 memory: 1829 2022/08/08 22:29:24 - mmengine - INFO - Epoch(val) [17][140/155] eta: 0:00:08 time: 0.5849 data_time: 0.4446 memory: 1829 2022/08/08 22:29:44 - mmengine - INFO - Epoch(val) [17][155/155] acc/top1: 0.5951 acc/top5: 0.8312 acc/mean1: 0.5950 2022/08/08 22:30:09 - mmengine - INFO - Epoch(train) [18][20/1879] lr: 2.0000e-02 eta: 10:34:25 time: 1.2108 data_time: 0.1917 memory: 13723 grad_norm: 3.6927 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.7522 loss: 1.7522 2022/08/08 22:30:21 - mmengine - INFO - Epoch(train) [18][40/1879] lr: 2.0000e-02 eta: 10:34:12 time: 0.6191 data_time: 0.0256 memory: 13723 grad_norm: 3.6684 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4694 loss: 1.4694 2022/08/08 22:30:33 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 22:30:34 - mmengine - INFO - Epoch(train) [18][60/1879] lr: 2.0000e-02 eta: 10:34:02 time: 0.6566 data_time: 0.0243 memory: 13723 grad_norm: 3.7863 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6152 loss: 1.6152 2022/08/08 22:30:46 - mmengine - INFO - Epoch(train) [18][80/1879] lr: 2.0000e-02 eta: 10:33:48 time: 0.5828 data_time: 0.0246 memory: 13723 grad_norm: 3.8771 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6093 loss: 1.6093 2022/08/08 22:30:58 - mmengine - INFO - Epoch(train) [18][100/1879] lr: 2.0000e-02 eta: 10:33:35 time: 0.5811 data_time: 0.0236 memory: 13723 grad_norm: 3.6271 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5428 loss: 1.5428 2022/08/08 22:31:10 - mmengine - INFO - Epoch(train) [18][120/1879] lr: 2.0000e-02 eta: 10:33:23 time: 0.6253 data_time: 0.0228 memory: 13723 grad_norm: 3.6914 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4973 loss: 1.4973 2022/08/08 22:31:22 - mmengine - INFO - Epoch(train) [18][140/1879] lr: 2.0000e-02 eta: 10:33:11 time: 0.6181 data_time: 0.0211 memory: 13723 grad_norm: 3.7585 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7227 loss: 1.7227 2022/08/08 22:31:34 - mmengine - INFO - Epoch(train) [18][160/1879] lr: 2.0000e-02 eta: 10:32:57 time: 0.5793 data_time: 0.0248 memory: 13723 grad_norm: 3.7697 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4866 loss: 1.4866 2022/08/08 22:31:46 - mmengine - INFO - Epoch(train) [18][180/1879] lr: 2.0000e-02 eta: 10:32:43 time: 0.5762 data_time: 0.0259 memory: 13723 grad_norm: 3.7684 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6622 loss: 1.6622 2022/08/08 22:32:00 - mmengine - INFO - Epoch(train) [18][200/1879] lr: 2.0000e-02 eta: 10:32:35 time: 0.7052 data_time: 0.0214 memory: 13723 grad_norm: 3.7816 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4678 loss: 1.4678 2022/08/08 22:32:11 - mmengine - INFO - Epoch(train) [18][220/1879] lr: 2.0000e-02 eta: 10:32:21 time: 0.5668 data_time: 0.0238 memory: 13723 grad_norm: 3.7689 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5793 loss: 1.5793 2022/08/08 22:32:22 - mmengine - INFO - Epoch(train) [18][240/1879] lr: 2.0000e-02 eta: 10:32:07 time: 0.5755 data_time: 0.0231 memory: 13723 grad_norm: 3.7167 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7930 loss: 1.7930 2022/08/08 22:32:34 - mmengine - INFO - Epoch(train) [18][260/1879] lr: 2.0000e-02 eta: 10:31:54 time: 0.5936 data_time: 0.0252 memory: 13723 grad_norm: 3.7427 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6697 loss: 1.6697 2022/08/08 22:32:47 - mmengine - INFO - Epoch(train) [18][280/1879] lr: 2.0000e-02 eta: 10:31:42 time: 0.6254 data_time: 0.0229 memory: 13723 grad_norm: 3.8161 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4847 loss: 1.4847 2022/08/08 22:32:58 - mmengine - INFO - Epoch(train) [18][300/1879] lr: 2.0000e-02 eta: 10:31:28 time: 0.5762 data_time: 0.0239 memory: 13723 grad_norm: 3.7302 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5311 loss: 1.5311 2022/08/08 22:33:10 - mmengine - INFO - Epoch(train) [18][320/1879] lr: 2.0000e-02 eta: 10:31:15 time: 0.5817 data_time: 0.0247 memory: 13723 grad_norm: 3.7512 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4700 loss: 1.4700 2022/08/08 22:33:24 - mmengine - INFO - Epoch(train) [18][340/1879] lr: 2.0000e-02 eta: 10:31:06 time: 0.7116 data_time: 0.0215 memory: 13723 grad_norm: 3.7785 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5753 loss: 1.5753 2022/08/08 22:33:37 - mmengine - INFO - Epoch(train) [18][360/1879] lr: 2.0000e-02 eta: 10:30:55 time: 0.6468 data_time: 0.0200 memory: 13723 grad_norm: 3.7359 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5552 loss: 1.5552 2022/08/08 22:33:49 - mmengine - INFO - Epoch(train) [18][380/1879] lr: 2.0000e-02 eta: 10:30:42 time: 0.5798 data_time: 0.0223 memory: 13723 grad_norm: 3.7427 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5153 loss: 1.5153 2022/08/08 22:34:00 - mmengine - INFO - Epoch(train) [18][400/1879] lr: 2.0000e-02 eta: 10:30:28 time: 0.5832 data_time: 0.0239 memory: 13723 grad_norm: 3.7908 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4545 loss: 1.4545 2022/08/08 22:34:14 - mmengine - INFO - Epoch(train) [18][420/1879] lr: 2.0000e-02 eta: 10:30:17 time: 0.6531 data_time: 0.0261 memory: 13723 grad_norm: 3.8166 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3985 loss: 1.3985 2022/08/08 22:34:25 - mmengine - INFO - Epoch(train) [18][440/1879] lr: 2.0000e-02 eta: 10:30:03 time: 0.5726 data_time: 0.0220 memory: 13723 grad_norm: 3.7169 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7258 loss: 1.7258 2022/08/08 22:34:37 - mmengine - INFO - Epoch(train) [18][460/1879] lr: 2.0000e-02 eta: 10:29:50 time: 0.5811 data_time: 0.0263 memory: 13723 grad_norm: 3.8497 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5315 loss: 1.5315 2022/08/08 22:34:48 - mmengine - INFO - Epoch(train) [18][480/1879] lr: 2.0000e-02 eta: 10:29:36 time: 0.5734 data_time: 0.0220 memory: 13723 grad_norm: 3.8680 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7186 loss: 1.7186 2022/08/08 22:35:00 - mmengine - INFO - Epoch(train) [18][500/1879] lr: 2.0000e-02 eta: 10:29:23 time: 0.6059 data_time: 0.0252 memory: 13723 grad_norm: 3.7872 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7064 loss: 1.7064 2022/08/08 22:35:15 - mmengine - INFO - Epoch(train) [18][520/1879] lr: 2.0000e-02 eta: 10:29:15 time: 0.7256 data_time: 0.0200 memory: 13723 grad_norm: 3.7736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5574 loss: 1.5574 2022/08/08 22:35:28 - mmengine - INFO - Epoch(train) [18][540/1879] lr: 2.0000e-02 eta: 10:29:05 time: 0.6752 data_time: 0.0260 memory: 13723 grad_norm: 3.8439 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7466 loss: 1.7466 2022/08/08 22:35:41 - mmengine - INFO - Epoch(train) [18][560/1879] lr: 2.0000e-02 eta: 10:28:54 time: 0.6296 data_time: 0.0233 memory: 13723 grad_norm: 3.8702 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5937 loss: 1.5937 2022/08/08 22:35:53 - mmengine - INFO - Epoch(train) [18][580/1879] lr: 2.0000e-02 eta: 10:28:42 time: 0.6300 data_time: 0.0209 memory: 13723 grad_norm: 3.6558 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5639 loss: 1.5639 2022/08/08 22:36:05 - mmengine - INFO - Epoch(train) [18][600/1879] lr: 2.0000e-02 eta: 10:28:29 time: 0.5964 data_time: 0.0283 memory: 13723 grad_norm: 3.7791 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5871 loss: 1.5871 2022/08/08 22:36:18 - mmengine - INFO - Epoch(train) [18][620/1879] lr: 2.0000e-02 eta: 10:28:17 time: 0.6203 data_time: 0.0571 memory: 13723 grad_norm: 3.8828 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4177 loss: 1.4177 2022/08/08 22:36:30 - mmengine - INFO - Epoch(train) [18][640/1879] lr: 2.0000e-02 eta: 10:28:04 time: 0.5960 data_time: 0.0215 memory: 13723 grad_norm: 3.7956 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7814 loss: 1.7814 2022/08/08 22:36:41 - mmengine - INFO - Epoch(train) [18][660/1879] lr: 2.0000e-02 eta: 10:27:50 time: 0.5773 data_time: 0.0231 memory: 13723 grad_norm: 3.6613 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6268 loss: 1.6268 2022/08/08 22:36:53 - mmengine - INFO - Epoch(train) [18][680/1879] lr: 2.0000e-02 eta: 10:27:37 time: 0.5863 data_time: 0.0248 memory: 13723 grad_norm: 3.7145 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5600 loss: 1.5600 2022/08/08 22:37:05 - mmengine - INFO - Epoch(train) [18][700/1879] lr: 2.0000e-02 eta: 10:27:24 time: 0.6000 data_time: 0.0256 memory: 13723 grad_norm: 3.8250 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7043 loss: 1.7043 2022/08/08 22:37:17 - mmengine - INFO - Epoch(train) [18][720/1879] lr: 2.0000e-02 eta: 10:27:11 time: 0.5882 data_time: 0.0252 memory: 13723 grad_norm: 3.7416 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5594 loss: 1.5594 2022/08/08 22:37:28 - mmengine - INFO - Epoch(train) [18][740/1879] lr: 2.0000e-02 eta: 10:26:57 time: 0.5772 data_time: 0.0247 memory: 13723 grad_norm: 3.8538 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7282 loss: 1.7282 2022/08/08 22:37:41 - mmengine - INFO - Epoch(train) [18][760/1879] lr: 2.0000e-02 eta: 10:26:45 time: 0.6094 data_time: 0.0222 memory: 13723 grad_norm: 3.7234 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7003 loss: 1.7003 2022/08/08 22:37:52 - mmengine - INFO - Epoch(train) [18][780/1879] lr: 2.0000e-02 eta: 10:26:32 time: 0.5881 data_time: 0.0219 memory: 13723 grad_norm: 3.6962 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6238 loss: 1.6238 2022/08/08 22:38:04 - mmengine - INFO - Epoch(train) [18][800/1879] lr: 2.0000e-02 eta: 10:26:18 time: 0.5762 data_time: 0.0244 memory: 13723 grad_norm: 3.8267 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7217 loss: 1.7217 2022/08/08 22:38:16 - mmengine - INFO - Epoch(train) [18][820/1879] lr: 2.0000e-02 eta: 10:26:05 time: 0.5843 data_time: 0.0257 memory: 13723 grad_norm: 3.7959 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6827 loss: 1.6827 2022/08/08 22:38:27 - mmengine - INFO - Epoch(train) [18][840/1879] lr: 2.0000e-02 eta: 10:25:51 time: 0.5744 data_time: 0.0256 memory: 13723 grad_norm: 3.8225 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6441 loss: 1.6441 2022/08/08 22:38:39 - mmengine - INFO - Epoch(train) [18][860/1879] lr: 2.0000e-02 eta: 10:25:37 time: 0.5779 data_time: 0.0271 memory: 13723 grad_norm: 3.8049 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5424 loss: 1.5424 2022/08/08 22:38:50 - mmengine - INFO - Epoch(train) [18][880/1879] lr: 2.0000e-02 eta: 10:25:24 time: 0.5815 data_time: 0.0256 memory: 13723 grad_norm: 3.8475 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7624 loss: 1.7624 2022/08/08 22:39:02 - mmengine - INFO - Epoch(train) [18][900/1879] lr: 2.0000e-02 eta: 10:25:10 time: 0.5802 data_time: 0.0239 memory: 13723 grad_norm: 3.8091 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7033 loss: 1.7033 2022/08/08 22:39:13 - mmengine - INFO - Epoch(train) [18][920/1879] lr: 2.0000e-02 eta: 10:24:57 time: 0.5769 data_time: 0.0260 memory: 13723 grad_norm: 3.8005 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7118 loss: 1.7118 2022/08/08 22:39:25 - mmengine - INFO - Epoch(train) [18][940/1879] lr: 2.0000e-02 eta: 10:24:44 time: 0.5940 data_time: 0.0252 memory: 13723 grad_norm: 3.7836 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8220 loss: 1.8220 2022/08/08 22:39:37 - mmengine - INFO - Epoch(train) [18][960/1879] lr: 2.0000e-02 eta: 10:24:31 time: 0.5999 data_time: 0.0244 memory: 13723 grad_norm: 3.7205 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8286 loss: 1.8286 2022/08/08 22:39:49 - mmengine - INFO - Epoch(train) [18][980/1879] lr: 2.0000e-02 eta: 10:24:18 time: 0.6085 data_time: 0.0215 memory: 13723 grad_norm: 3.8105 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5718 loss: 1.5718 2022/08/08 22:40:01 - mmengine - INFO - Epoch(train) [18][1000/1879] lr: 2.0000e-02 eta: 10:24:04 time: 0.5708 data_time: 0.0269 memory: 13723 grad_norm: 3.7609 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6174 loss: 1.6174 2022/08/08 22:40:13 - mmengine - INFO - Epoch(train) [18][1020/1879] lr: 2.0000e-02 eta: 10:23:52 time: 0.6030 data_time: 0.0252 memory: 13723 grad_norm: 3.6817 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6433 loss: 1.6433 2022/08/08 22:40:26 - mmengine - INFO - Epoch(train) [18][1040/1879] lr: 2.0000e-02 eta: 10:23:40 time: 0.6333 data_time: 0.0332 memory: 13723 grad_norm: 3.8765 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6240 loss: 1.6240 2022/08/08 22:40:36 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 22:40:38 - mmengine - INFO - Epoch(train) [18][1060/1879] lr: 2.0000e-02 eta: 10:23:27 time: 0.5970 data_time: 0.0244 memory: 13723 grad_norm: 3.7481 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.5807 loss: 1.5807 2022/08/08 22:40:50 - mmengine - INFO - Epoch(train) [18][1080/1879] lr: 2.0000e-02 eta: 10:23:15 time: 0.6021 data_time: 0.0283 memory: 13723 grad_norm: 3.7586 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6020 loss: 1.6020 2022/08/08 22:41:02 - mmengine - INFO - Epoch(train) [18][1100/1879] lr: 2.0000e-02 eta: 10:23:02 time: 0.6054 data_time: 0.0198 memory: 13723 grad_norm: 3.7501 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5747 loss: 1.5747 2022/08/08 22:41:13 - mmengine - INFO - Epoch(train) [18][1120/1879] lr: 2.0000e-02 eta: 10:22:48 time: 0.5766 data_time: 0.0266 memory: 13723 grad_norm: 3.8223 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6966 loss: 1.6966 2022/08/08 22:41:25 - mmengine - INFO - Epoch(train) [18][1140/1879] lr: 2.0000e-02 eta: 10:22:35 time: 0.5942 data_time: 0.0233 memory: 13723 grad_norm: 3.7280 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6982 loss: 1.6982 2022/08/08 22:41:37 - mmengine - INFO - Epoch(train) [18][1160/1879] lr: 2.0000e-02 eta: 10:22:22 time: 0.5835 data_time: 0.0255 memory: 13723 grad_norm: 3.7553 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6973 loss: 1.6973 2022/08/08 22:41:48 - mmengine - INFO - Epoch(train) [18][1180/1879] lr: 2.0000e-02 eta: 10:22:09 time: 0.5844 data_time: 0.0227 memory: 13723 grad_norm: 3.7888 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6220 loss: 1.6220 2022/08/08 22:42:00 - mmengine - INFO - Epoch(train) [18][1200/1879] lr: 2.0000e-02 eta: 10:21:55 time: 0.5877 data_time: 0.0245 memory: 13723 grad_norm: 3.8404 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5778 loss: 1.5778 2022/08/08 22:42:12 - mmengine - INFO - Epoch(train) [18][1220/1879] lr: 2.0000e-02 eta: 10:21:42 time: 0.5796 data_time: 0.0230 memory: 13723 grad_norm: 3.7580 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7966 loss: 1.7966 2022/08/08 22:42:23 - mmengine - INFO - Epoch(train) [18][1240/1879] lr: 2.0000e-02 eta: 10:21:28 time: 0.5756 data_time: 0.0243 memory: 13723 grad_norm: 3.8178 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4831 loss: 1.4831 2022/08/08 22:42:35 - mmengine - INFO - Epoch(train) [18][1260/1879] lr: 2.0000e-02 eta: 10:21:15 time: 0.5793 data_time: 0.0247 memory: 13723 grad_norm: 3.6729 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6788 loss: 1.6788 2022/08/08 22:42:46 - mmengine - INFO - Epoch(train) [18][1280/1879] lr: 2.0000e-02 eta: 10:21:01 time: 0.5746 data_time: 0.0266 memory: 13723 grad_norm: 3.6670 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5279 loss: 1.5279 2022/08/08 22:42:58 - mmengine - INFO - Epoch(train) [18][1300/1879] lr: 2.0000e-02 eta: 10:20:47 time: 0.5770 data_time: 0.0237 memory: 13723 grad_norm: 3.8049 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4593 loss: 1.4593 2022/08/08 22:43:10 - mmengine - INFO - Epoch(train) [18][1320/1879] lr: 2.0000e-02 eta: 10:20:35 time: 0.6033 data_time: 0.0250 memory: 13723 grad_norm: 3.7835 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6159 loss: 1.6159 2022/08/08 22:43:22 - mmengine - INFO - Epoch(train) [18][1340/1879] lr: 2.0000e-02 eta: 10:20:21 time: 0.5783 data_time: 0.0229 memory: 13723 grad_norm: 3.8850 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5696 loss: 1.5696 2022/08/08 22:43:33 - mmengine - INFO - Epoch(train) [18][1360/1879] lr: 2.0000e-02 eta: 10:20:08 time: 0.5810 data_time: 0.0247 memory: 13723 grad_norm: 3.8198 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7278 loss: 1.7278 2022/08/08 22:43:45 - mmengine - INFO - Epoch(train) [18][1380/1879] lr: 2.0000e-02 eta: 10:19:54 time: 0.5722 data_time: 0.0236 memory: 13723 grad_norm: 3.7574 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5583 loss: 1.5583 2022/08/08 22:43:56 - mmengine - INFO - Epoch(train) [18][1400/1879] lr: 2.0000e-02 eta: 10:19:41 time: 0.5838 data_time: 0.0257 memory: 13723 grad_norm: 3.7224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7356 loss: 1.7356 2022/08/08 22:44:08 - mmengine - INFO - Epoch(train) [18][1420/1879] lr: 2.0000e-02 eta: 10:19:27 time: 0.5813 data_time: 0.0227 memory: 13723 grad_norm: 3.7652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6331 loss: 1.6331 2022/08/08 22:44:21 - mmengine - INFO - Epoch(train) [18][1440/1879] lr: 2.0000e-02 eta: 10:19:15 time: 0.6260 data_time: 0.0218 memory: 13723 grad_norm: 3.7563 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6326 loss: 1.6326 2022/08/08 22:44:33 - mmengine - INFO - Epoch(train) [18][1460/1879] lr: 2.0000e-02 eta: 10:19:04 time: 0.6461 data_time: 0.0231 memory: 13723 grad_norm: 3.7714 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5848 loss: 1.5848 2022/08/08 22:44:45 - mmengine - INFO - Epoch(train) [18][1480/1879] lr: 2.0000e-02 eta: 10:18:50 time: 0.5669 data_time: 0.0216 memory: 13723 grad_norm: 3.7286 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6349 loss: 1.6349 2022/08/08 22:44:57 - mmengine - INFO - Epoch(train) [18][1500/1879] lr: 2.0000e-02 eta: 10:18:37 time: 0.5883 data_time: 0.0237 memory: 13723 grad_norm: 3.8379 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6216 loss: 1.6216 2022/08/08 22:45:11 - mmengine - INFO - Epoch(train) [18][1520/1879] lr: 2.0000e-02 eta: 10:18:28 time: 0.7101 data_time: 0.0282 memory: 13723 grad_norm: 3.8892 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5279 loss: 1.5279 2022/08/08 22:45:23 - mmengine - INFO - Epoch(train) [18][1540/1879] lr: 2.0000e-02 eta: 10:18:16 time: 0.6036 data_time: 0.0230 memory: 13723 grad_norm: 3.7240 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5797 loss: 1.5797 2022/08/08 22:45:35 - mmengine - INFO - Epoch(train) [18][1560/1879] lr: 2.0000e-02 eta: 10:18:02 time: 0.5847 data_time: 0.0225 memory: 13723 grad_norm: 3.8113 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6035 loss: 1.6035 2022/08/08 22:45:46 - mmengine - INFO - Epoch(train) [18][1580/1879] lr: 2.0000e-02 eta: 10:17:49 time: 0.5871 data_time: 0.0251 memory: 13723 grad_norm: 3.9257 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5857 loss: 1.5857 2022/08/08 22:46:00 - mmengine - INFO - Epoch(train) [18][1600/1879] lr: 2.0000e-02 eta: 10:17:39 time: 0.6797 data_time: 0.0209 memory: 13723 grad_norm: 3.8234 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5329 loss: 1.5329 2022/08/08 22:46:11 - mmengine - INFO - Epoch(train) [18][1620/1879] lr: 2.0000e-02 eta: 10:17:25 time: 0.5667 data_time: 0.0241 memory: 13723 grad_norm: 3.6957 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6883 loss: 1.6883 2022/08/08 22:46:23 - mmengine - INFO - Epoch(train) [18][1640/1879] lr: 2.0000e-02 eta: 10:17:12 time: 0.5779 data_time: 0.0250 memory: 13723 grad_norm: 3.7533 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5731 loss: 1.5731 2022/08/08 22:46:34 - mmengine - INFO - Epoch(train) [18][1660/1879] lr: 2.0000e-02 eta: 10:16:58 time: 0.5762 data_time: 0.0227 memory: 13723 grad_norm: 3.6997 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7390 loss: 1.7390 2022/08/08 22:46:47 - mmengine - INFO - Epoch(train) [18][1680/1879] lr: 2.0000e-02 eta: 10:16:46 time: 0.6283 data_time: 0.0498 memory: 13723 grad_norm: 3.8027 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6258 loss: 1.6258 2022/08/08 22:46:58 - mmengine - INFO - Epoch(train) [18][1700/1879] lr: 2.0000e-02 eta: 10:16:33 time: 0.5717 data_time: 0.0241 memory: 13723 grad_norm: 3.7948 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7411 loss: 1.7411 2022/08/08 22:47:10 - mmengine - INFO - Epoch(train) [18][1720/1879] lr: 2.0000e-02 eta: 10:16:19 time: 0.5800 data_time: 0.0237 memory: 13723 grad_norm: 3.8510 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5962 loss: 1.5962 2022/08/08 22:47:22 - mmengine - INFO - Epoch(train) [18][1740/1879] lr: 2.0000e-02 eta: 10:16:07 time: 0.6040 data_time: 0.0233 memory: 13723 grad_norm: 3.7505 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 1.7191 loss: 1.7191 2022/08/08 22:47:34 - mmengine - INFO - Epoch(train) [18][1760/1879] lr: 2.0000e-02 eta: 10:15:53 time: 0.5820 data_time: 0.0230 memory: 13723 grad_norm: 3.8657 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6271 loss: 1.6271 2022/08/08 22:47:47 - mmengine - INFO - Epoch(train) [18][1780/1879] lr: 2.0000e-02 eta: 10:15:43 time: 0.6567 data_time: 0.0217 memory: 13723 grad_norm: 3.8524 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7113 loss: 1.7113 2022/08/08 22:48:00 - mmengine - INFO - Epoch(train) [18][1800/1879] lr: 2.0000e-02 eta: 10:15:31 time: 0.6413 data_time: 0.0875 memory: 13723 grad_norm: 3.7702 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7676 loss: 1.7676 2022/08/08 22:48:11 - mmengine - INFO - Epoch(train) [18][1820/1879] lr: 2.0000e-02 eta: 10:15:18 time: 0.5753 data_time: 0.0253 memory: 13723 grad_norm: 3.8414 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5819 loss: 1.5819 2022/08/08 22:48:23 - mmengine - INFO - Epoch(train) [18][1840/1879] lr: 2.0000e-02 eta: 10:15:05 time: 0.5926 data_time: 0.0412 memory: 13723 grad_norm: 3.8353 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7584 loss: 1.7584 2022/08/08 22:48:35 - mmengine - INFO - Epoch(train) [18][1860/1879] lr: 2.0000e-02 eta: 10:14:51 time: 0.5884 data_time: 0.0269 memory: 13723 grad_norm: 3.8531 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6760 loss: 1.6760 2022/08/08 22:48:45 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 22:48:45 - mmengine - INFO - Epoch(train) [18][1879/1879] lr: 2.0000e-02 eta: 10:14:51 time: 0.5325 data_time: 0.0166 memory: 13723 grad_norm: 3.9230 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.5744 loss: 1.5744 2022/08/08 22:48:45 - mmengine - INFO - Saving checkpoint at 18 epochs 2022/08/08 22:49:01 - mmengine - INFO - Epoch(val) [18][20/155] eta: 0:01:39 time: 0.7361 data_time: 0.5969 memory: 1829 2022/08/08 22:49:10 - mmengine - INFO - Epoch(val) [18][40/155] eta: 0:00:53 time: 0.4624 data_time: 0.3217 memory: 1829 2022/08/08 22:49:22 - mmengine - INFO - Epoch(val) [18][60/155] eta: 0:00:57 time: 0.6034 data_time: 0.4635 memory: 1829 2022/08/08 22:49:31 - mmengine - INFO - Epoch(val) [18][80/155] eta: 0:00:31 time: 0.4198 data_time: 0.2799 memory: 1829 2022/08/08 22:49:43 - mmengine - INFO - Epoch(val) [18][100/155] eta: 0:00:32 time: 0.5877 data_time: 0.4487 memory: 1829 2022/08/08 22:49:53 - mmengine - INFO - Epoch(val) [18][120/155] eta: 0:00:17 time: 0.4977 data_time: 0.3583 memory: 1829 2022/08/08 22:50:07 - mmengine - INFO - Epoch(val) [18][140/155] eta: 0:00:10 time: 0.7292 data_time: 0.5888 memory: 1829 2022/08/08 22:50:17 - mmengine - INFO - Epoch(val) [18][155/155] acc/top1: 0.5939 acc/top5: 0.8276 acc/mean1: 0.5939 2022/08/08 22:50:35 - mmengine - INFO - Epoch(train) [19][20/1879] lr: 2.0000e-02 eta: 10:14:18 time: 0.9259 data_time: 0.2349 memory: 13723 grad_norm: 3.7577 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.3803 loss: 1.3803 2022/08/08 22:50:47 - mmengine - INFO - Epoch(train) [19][40/1879] lr: 2.0000e-02 eta: 10:14:05 time: 0.5836 data_time: 0.0259 memory: 13723 grad_norm: 3.6323 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.6731 loss: 1.6731 2022/08/08 22:50:59 - mmengine - INFO - Epoch(train) [19][60/1879] lr: 2.0000e-02 eta: 10:13:52 time: 0.6093 data_time: 0.0199 memory: 13723 grad_norm: 3.7076 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6809 loss: 1.6809 2022/08/08 22:51:11 - mmengine - INFO - Epoch(train) [19][80/1879] lr: 2.0000e-02 eta: 10:13:39 time: 0.5791 data_time: 0.0241 memory: 13723 grad_norm: 3.7219 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5334 loss: 1.5334 2022/08/08 22:51:22 - mmengine - INFO - Epoch(train) [19][100/1879] lr: 2.0000e-02 eta: 10:13:25 time: 0.5755 data_time: 0.0238 memory: 13723 grad_norm: 3.6979 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5831 loss: 1.5831 2022/08/08 22:51:35 - mmengine - INFO - Epoch(train) [19][120/1879] lr: 2.0000e-02 eta: 10:13:14 time: 0.6330 data_time: 0.0210 memory: 13723 grad_norm: 3.7724 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4787 loss: 1.4787 2022/08/08 22:51:46 - mmengine - INFO - Epoch(train) [19][140/1879] lr: 2.0000e-02 eta: 10:13:00 time: 0.5704 data_time: 0.0243 memory: 13723 grad_norm: 3.6836 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6710 loss: 1.6710 2022/08/08 22:51:58 - mmengine - INFO - Epoch(train) [19][160/1879] lr: 2.0000e-02 eta: 10:12:46 time: 0.5708 data_time: 0.0284 memory: 13723 grad_norm: 3.7146 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6345 loss: 1.6345 2022/08/08 22:52:08 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 22:52:09 - mmengine - INFO - Epoch(train) [19][180/1879] lr: 2.0000e-02 eta: 10:12:32 time: 0.5695 data_time: 0.0238 memory: 13723 grad_norm: 3.7832 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6246 loss: 1.6246 2022/08/08 22:52:21 - mmengine - INFO - Epoch(train) [19][200/1879] lr: 2.0000e-02 eta: 10:12:19 time: 0.5828 data_time: 0.0250 memory: 13723 grad_norm: 3.9598 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6527 loss: 1.6527 2022/08/08 22:52:32 - mmengine - INFO - Epoch(train) [19][220/1879] lr: 2.0000e-02 eta: 10:12:05 time: 0.5750 data_time: 0.0233 memory: 13723 grad_norm: 3.7808 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6073 loss: 1.6073 2022/08/08 22:52:44 - mmengine - INFO - Epoch(train) [19][240/1879] lr: 2.0000e-02 eta: 10:11:52 time: 0.5933 data_time: 0.0261 memory: 13723 grad_norm: 3.8350 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5666 loss: 1.5666 2022/08/08 22:52:56 - mmengine - INFO - Epoch(train) [19][260/1879] lr: 2.0000e-02 eta: 10:11:39 time: 0.5824 data_time: 0.0247 memory: 13723 grad_norm: 3.7987 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7948 loss: 1.7948 2022/08/08 22:53:08 - mmengine - INFO - Epoch(train) [19][280/1879] lr: 2.0000e-02 eta: 10:11:26 time: 0.5831 data_time: 0.0237 memory: 13723 grad_norm: 3.7418 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4279 loss: 1.4279 2022/08/08 22:53:20 - mmengine - INFO - Epoch(train) [19][300/1879] lr: 2.0000e-02 eta: 10:11:13 time: 0.6095 data_time: 0.0249 memory: 13723 grad_norm: 3.7831 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4684 loss: 1.4684 2022/08/08 22:53:31 - mmengine - INFO - Epoch(train) [19][320/1879] lr: 2.0000e-02 eta: 10:11:00 time: 0.5808 data_time: 0.0253 memory: 13723 grad_norm: 3.7666 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5622 loss: 1.5622 2022/08/08 22:53:43 - mmengine - INFO - Epoch(train) [19][340/1879] lr: 2.0000e-02 eta: 10:10:47 time: 0.5803 data_time: 0.0234 memory: 13723 grad_norm: 3.7769 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5979 loss: 1.5979 2022/08/08 22:53:55 - mmengine - INFO - Epoch(train) [19][360/1879] lr: 2.0000e-02 eta: 10:10:33 time: 0.5872 data_time: 0.0236 memory: 13723 grad_norm: 3.8684 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4730 loss: 1.4730 2022/08/08 22:54:06 - mmengine - INFO - Epoch(train) [19][380/1879] lr: 2.0000e-02 eta: 10:10:20 time: 0.5825 data_time: 0.0254 memory: 13723 grad_norm: 3.7774 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5450 loss: 1.5450 2022/08/08 22:54:18 - mmengine - INFO - Epoch(train) [19][400/1879] lr: 2.0000e-02 eta: 10:10:07 time: 0.5857 data_time: 0.0245 memory: 13723 grad_norm: 3.8287 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5082 loss: 1.5082 2022/08/08 22:54:30 - mmengine - INFO - Epoch(train) [19][420/1879] lr: 2.0000e-02 eta: 10:09:53 time: 0.5777 data_time: 0.0246 memory: 13723 grad_norm: 3.9008 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4511 loss: 1.4511 2022/08/08 22:54:41 - mmengine - INFO - Epoch(train) [19][440/1879] lr: 2.0000e-02 eta: 10:09:40 time: 0.5814 data_time: 0.0258 memory: 13723 grad_norm: 3.8462 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6188 loss: 1.6188 2022/08/08 22:54:53 - mmengine - INFO - Epoch(train) [19][460/1879] lr: 2.0000e-02 eta: 10:09:27 time: 0.5770 data_time: 0.0249 memory: 13723 grad_norm: 3.8729 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6280 loss: 1.6280 2022/08/08 22:55:04 - mmengine - INFO - Epoch(train) [19][480/1879] lr: 2.0000e-02 eta: 10:09:13 time: 0.5777 data_time: 0.0245 memory: 13723 grad_norm: 3.8452 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7393 loss: 1.7393 2022/08/08 22:55:19 - mmengine - INFO - Epoch(train) [19][500/1879] lr: 2.0000e-02 eta: 10:09:04 time: 0.7191 data_time: 0.0267 memory: 13723 grad_norm: 3.8908 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7141 loss: 1.7141 2022/08/08 22:55:31 - mmengine - INFO - Epoch(train) [19][520/1879] lr: 2.0000e-02 eta: 10:08:52 time: 0.6168 data_time: 0.0505 memory: 13723 grad_norm: 3.6596 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4961 loss: 1.4961 2022/08/08 22:55:44 - mmengine - INFO - Epoch(train) [19][540/1879] lr: 2.0000e-02 eta: 10:08:40 time: 0.6197 data_time: 0.0236 memory: 13723 grad_norm: 3.7572 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6991 loss: 1.6991 2022/08/08 22:55:55 - mmengine - INFO - Epoch(train) [19][560/1879] lr: 2.0000e-02 eta: 10:08:27 time: 0.5733 data_time: 0.0248 memory: 13723 grad_norm: 3.8747 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7831 loss: 1.7831 2022/08/08 22:56:07 - mmengine - INFO - Epoch(train) [19][580/1879] lr: 2.0000e-02 eta: 10:08:13 time: 0.5741 data_time: 0.0247 memory: 13723 grad_norm: 3.7955 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7253 loss: 1.7253 2022/08/08 22:56:18 - mmengine - INFO - Epoch(train) [19][600/1879] lr: 2.0000e-02 eta: 10:08:00 time: 0.5806 data_time: 0.0238 memory: 13723 grad_norm: 3.7315 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6390 loss: 1.6390 2022/08/08 22:56:30 - mmengine - INFO - Epoch(train) [19][620/1879] lr: 2.0000e-02 eta: 10:07:47 time: 0.6073 data_time: 0.0232 memory: 13723 grad_norm: 3.8121 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4708 loss: 1.4708 2022/08/08 22:56:42 - mmengine - INFO - Epoch(train) [19][640/1879] lr: 2.0000e-02 eta: 10:07:34 time: 0.5796 data_time: 0.0246 memory: 13723 grad_norm: 3.8002 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5011 loss: 1.5011 2022/08/08 22:56:54 - mmengine - INFO - Epoch(train) [19][660/1879] lr: 2.0000e-02 eta: 10:07:21 time: 0.5813 data_time: 0.0250 memory: 13723 grad_norm: 3.7982 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5687 loss: 1.5687 2022/08/08 22:57:05 - mmengine - INFO - Epoch(train) [19][680/1879] lr: 2.0000e-02 eta: 10:07:07 time: 0.5884 data_time: 0.0248 memory: 13723 grad_norm: 3.8614 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5949 loss: 1.5949 2022/08/08 22:57:17 - mmengine - INFO - Epoch(train) [19][700/1879] lr: 2.0000e-02 eta: 10:06:54 time: 0.5759 data_time: 0.0220 memory: 13723 grad_norm: 3.7702 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5889 loss: 1.5889 2022/08/08 22:57:28 - mmengine - INFO - Epoch(train) [19][720/1879] lr: 2.0000e-02 eta: 10:06:40 time: 0.5777 data_time: 0.0257 memory: 13723 grad_norm: 3.7678 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5255 loss: 1.5255 2022/08/08 22:57:40 - mmengine - INFO - Epoch(train) [19][740/1879] lr: 2.0000e-02 eta: 10:06:27 time: 0.5839 data_time: 0.0257 memory: 13723 grad_norm: 3.7689 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6509 loss: 1.6509 2022/08/08 22:57:52 - mmengine - INFO - Epoch(train) [19][760/1879] lr: 2.0000e-02 eta: 10:06:14 time: 0.5862 data_time: 0.0257 memory: 13723 grad_norm: 3.7417 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6649 loss: 1.6649 2022/08/08 22:58:03 - mmengine - INFO - Epoch(train) [19][780/1879] lr: 2.0000e-02 eta: 10:06:00 time: 0.5725 data_time: 0.0241 memory: 13723 grad_norm: 3.7400 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5913 loss: 1.5913 2022/08/08 22:58:15 - mmengine - INFO - Epoch(train) [19][800/1879] lr: 2.0000e-02 eta: 10:05:47 time: 0.5778 data_time: 0.0272 memory: 13723 grad_norm: 3.8469 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4593 loss: 1.4593 2022/08/08 22:58:26 - mmengine - INFO - Epoch(train) [19][820/1879] lr: 2.0000e-02 eta: 10:05:33 time: 0.5762 data_time: 0.0267 memory: 13723 grad_norm: 3.7842 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7534 loss: 1.7534 2022/08/08 22:58:38 - mmengine - INFO - Epoch(train) [19][840/1879] lr: 2.0000e-02 eta: 10:05:20 time: 0.5741 data_time: 0.0266 memory: 13723 grad_norm: 3.8266 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6011 loss: 1.6011 2022/08/08 22:58:49 - mmengine - INFO - Epoch(train) [19][860/1879] lr: 2.0000e-02 eta: 10:05:06 time: 0.5754 data_time: 0.0239 memory: 13723 grad_norm: 3.6993 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5163 loss: 1.5163 2022/08/08 22:59:01 - mmengine - INFO - Epoch(train) [19][880/1879] lr: 2.0000e-02 eta: 10:04:53 time: 0.5729 data_time: 0.0254 memory: 13723 grad_norm: 3.8124 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4619 loss: 1.4619 2022/08/08 22:59:12 - mmengine - INFO - Epoch(train) [19][900/1879] lr: 2.0000e-02 eta: 10:04:39 time: 0.5774 data_time: 0.0237 memory: 13723 grad_norm: 3.7944 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5198 loss: 1.5198 2022/08/08 22:59:24 - mmengine - INFO - Epoch(train) [19][920/1879] lr: 2.0000e-02 eta: 10:04:26 time: 0.5746 data_time: 0.0269 memory: 13723 grad_norm: 3.7688 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4813 loss: 1.4813 2022/08/08 22:59:35 - mmengine - INFO - Epoch(train) [19][940/1879] lr: 2.0000e-02 eta: 10:04:12 time: 0.5742 data_time: 0.0260 memory: 13723 grad_norm: 3.8809 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6424 loss: 1.6424 2022/08/08 22:59:47 - mmengine - INFO - Epoch(train) [19][960/1879] lr: 2.0000e-02 eta: 10:03:59 time: 0.5802 data_time: 0.0246 memory: 13723 grad_norm: 3.7193 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5934 loss: 1.5934 2022/08/08 22:59:58 - mmengine - INFO - Epoch(train) [19][980/1879] lr: 2.0000e-02 eta: 10:03:45 time: 0.5642 data_time: 0.0244 memory: 13723 grad_norm: 3.7837 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7793 loss: 1.7793 2022/08/08 23:00:12 - mmengine - INFO - Epoch(train) [19][1000/1879] lr: 2.0000e-02 eta: 10:03:34 time: 0.6628 data_time: 0.0356 memory: 13723 grad_norm: 3.8641 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5169 loss: 1.5169 2022/08/08 23:00:24 - mmengine - INFO - Epoch(train) [19][1020/1879] lr: 2.0000e-02 eta: 10:03:22 time: 0.6140 data_time: 0.0246 memory: 13723 grad_norm: 3.8349 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7005 loss: 1.7005 2022/08/08 23:00:37 - mmengine - INFO - Epoch(train) [19][1040/1879] lr: 2.0000e-02 eta: 10:03:11 time: 0.6478 data_time: 0.0202 memory: 13723 grad_norm: 3.8438 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6964 loss: 1.6964 2022/08/08 23:00:49 - mmengine - INFO - Epoch(train) [19][1060/1879] lr: 2.0000e-02 eta: 10:02:59 time: 0.6035 data_time: 0.0277 memory: 13723 grad_norm: 3.8279 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6614 loss: 1.6614 2022/08/08 23:01:00 - mmengine - INFO - Epoch(train) [19][1080/1879] lr: 2.0000e-02 eta: 10:02:45 time: 0.5718 data_time: 0.0221 memory: 13723 grad_norm: 3.7977 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6778 loss: 1.6778 2022/08/08 23:01:12 - mmengine - INFO - Epoch(train) [19][1100/1879] lr: 2.0000e-02 eta: 10:02:32 time: 0.5759 data_time: 0.0236 memory: 13723 grad_norm: 3.8234 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7167 loss: 1.7167 2022/08/08 23:01:23 - mmengine - INFO - Epoch(train) [19][1120/1879] lr: 2.0000e-02 eta: 10:02:18 time: 0.5803 data_time: 0.0236 memory: 13723 grad_norm: 3.7958 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8079 loss: 1.8079 2022/08/08 23:01:35 - mmengine - INFO - Epoch(train) [19][1140/1879] lr: 2.0000e-02 eta: 10:02:05 time: 0.5824 data_time: 0.0239 memory: 13723 grad_norm: 3.8092 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6630 loss: 1.6630 2022/08/08 23:01:47 - mmengine - INFO - Epoch(train) [19][1160/1879] lr: 2.0000e-02 eta: 10:01:51 time: 0.5738 data_time: 0.0263 memory: 13723 grad_norm: 3.8260 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6532 loss: 1.6532 2022/08/08 23:01:57 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 23:01:58 - mmengine - INFO - Epoch(train) [19][1180/1879] lr: 2.0000e-02 eta: 10:01:38 time: 0.5825 data_time: 0.0250 memory: 13723 grad_norm: 3.8414 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5898 loss: 1.5898 2022/08/08 23:02:10 - mmengine - INFO - Epoch(train) [19][1200/1879] lr: 2.0000e-02 eta: 10:01:25 time: 0.5731 data_time: 0.0242 memory: 13723 grad_norm: 3.7744 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7501 loss: 1.7501 2022/08/08 23:02:21 - mmengine - INFO - Epoch(train) [19][1220/1879] lr: 2.0000e-02 eta: 10:01:11 time: 0.5812 data_time: 0.0282 memory: 13723 grad_norm: 3.9393 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5900 loss: 1.5900 2022/08/08 23:02:33 - mmengine - INFO - Epoch(train) [19][1240/1879] lr: 2.0000e-02 eta: 10:00:58 time: 0.5741 data_time: 0.0252 memory: 13723 grad_norm: 3.7536 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5588 loss: 1.5588 2022/08/08 23:02:44 - mmengine - INFO - Epoch(train) [19][1260/1879] lr: 2.0000e-02 eta: 10:00:44 time: 0.5740 data_time: 0.0251 memory: 13723 grad_norm: 3.8742 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4983 loss: 1.4983 2022/08/08 23:02:56 - mmengine - INFO - Epoch(train) [19][1280/1879] lr: 2.0000e-02 eta: 10:00:31 time: 0.5779 data_time: 0.0270 memory: 13723 grad_norm: 3.8525 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6670 loss: 1.6670 2022/08/08 23:03:07 - mmengine - INFO - Epoch(train) [19][1300/1879] lr: 2.0000e-02 eta: 10:00:17 time: 0.5739 data_time: 0.0254 memory: 13723 grad_norm: 3.8374 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5996 loss: 1.5996 2022/08/08 23:03:19 - mmengine - INFO - Epoch(train) [19][1320/1879] lr: 2.0000e-02 eta: 10:00:04 time: 0.5731 data_time: 0.0257 memory: 13723 grad_norm: 3.7204 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3579 loss: 1.3579 2022/08/08 23:03:30 - mmengine - INFO - Epoch(train) [19][1340/1879] lr: 2.0000e-02 eta: 9:59:50 time: 0.5749 data_time: 0.0229 memory: 13723 grad_norm: 3.8090 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6341 loss: 1.6341 2022/08/08 23:03:42 - mmengine - INFO - Epoch(train) [19][1360/1879] lr: 2.0000e-02 eta: 9:59:37 time: 0.5691 data_time: 0.0245 memory: 13723 grad_norm: 3.8896 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8171 loss: 1.8171 2022/08/08 23:03:53 - mmengine - INFO - Epoch(train) [19][1380/1879] lr: 2.0000e-02 eta: 9:59:23 time: 0.5676 data_time: 0.0243 memory: 13723 grad_norm: 3.6929 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5804 loss: 1.5804 2022/08/08 23:04:05 - mmengine - INFO - Epoch(train) [19][1400/1879] lr: 2.0000e-02 eta: 9:59:09 time: 0.5721 data_time: 0.0241 memory: 13723 grad_norm: 3.7843 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7063 loss: 1.7063 2022/08/08 23:04:16 - mmengine - INFO - Epoch(train) [19][1420/1879] lr: 2.0000e-02 eta: 9:58:56 time: 0.5783 data_time: 0.0225 memory: 13723 grad_norm: 3.8730 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8557 loss: 1.8557 2022/08/08 23:04:28 - mmengine - INFO - Epoch(train) [19][1440/1879] lr: 2.0000e-02 eta: 9:58:43 time: 0.5862 data_time: 0.0245 memory: 13723 grad_norm: 3.8133 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6265 loss: 1.6265 2022/08/08 23:04:39 - mmengine - INFO - Epoch(train) [19][1460/1879] lr: 2.0000e-02 eta: 9:58:29 time: 0.5780 data_time: 0.0230 memory: 13723 grad_norm: 3.7541 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7574 loss: 1.7574 2022/08/08 23:04:51 - mmengine - INFO - Epoch(train) [19][1480/1879] lr: 2.0000e-02 eta: 9:58:16 time: 0.5791 data_time: 0.0254 memory: 13723 grad_norm: 3.7010 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7036 loss: 1.7036 2022/08/08 23:05:03 - mmengine - INFO - Epoch(train) [19][1500/1879] lr: 2.0000e-02 eta: 9:58:03 time: 0.5814 data_time: 0.0231 memory: 13723 grad_norm: 3.8850 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6734 loss: 1.6734 2022/08/08 23:05:15 - mmengine - INFO - Epoch(train) [19][1520/1879] lr: 2.0000e-02 eta: 9:57:51 time: 0.6319 data_time: 0.0786 memory: 13723 grad_norm: 3.7654 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5069 loss: 1.5069 2022/08/08 23:05:27 - mmengine - INFO - Epoch(train) [19][1540/1879] lr: 2.0000e-02 eta: 9:57:38 time: 0.5969 data_time: 0.0263 memory: 13723 grad_norm: 3.8901 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7263 loss: 1.7263 2022/08/08 23:05:39 - mmengine - INFO - Epoch(train) [19][1560/1879] lr: 2.0000e-02 eta: 9:57:25 time: 0.5807 data_time: 0.0254 memory: 13723 grad_norm: 3.7921 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9314 loss: 1.9314 2022/08/08 23:05:51 - mmengine - INFO - Epoch(train) [19][1580/1879] lr: 2.0000e-02 eta: 9:57:12 time: 0.5875 data_time: 0.0466 memory: 13723 grad_norm: 3.7581 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7324 loss: 1.7324 2022/08/08 23:06:02 - mmengine - INFO - Epoch(train) [19][1600/1879] lr: 2.0000e-02 eta: 9:56:58 time: 0.5659 data_time: 0.0243 memory: 13723 grad_norm: 3.7198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5694 loss: 1.5694 2022/08/08 23:06:13 - mmengine - INFO - Epoch(train) [19][1620/1879] lr: 2.0000e-02 eta: 9:56:45 time: 0.5769 data_time: 0.0265 memory: 13723 grad_norm: 3.6967 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5749 loss: 1.5749 2022/08/08 23:06:26 - mmengine - INFO - Epoch(train) [19][1640/1879] lr: 2.0000e-02 eta: 9:56:33 time: 0.6095 data_time: 0.0216 memory: 13723 grad_norm: 3.6887 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5119 loss: 1.5119 2022/08/08 23:06:37 - mmengine - INFO - Epoch(train) [19][1660/1879] lr: 2.0000e-02 eta: 9:56:19 time: 0.5788 data_time: 0.0243 memory: 13723 grad_norm: 3.7960 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5176 loss: 1.5176 2022/08/08 23:06:49 - mmengine - INFO - Epoch(train) [19][1680/1879] lr: 2.0000e-02 eta: 9:56:07 time: 0.6079 data_time: 0.0257 memory: 13723 grad_norm: 3.7861 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5303 loss: 1.5303 2022/08/08 23:07:01 - mmengine - INFO - Epoch(train) [19][1700/1879] lr: 2.0000e-02 eta: 9:55:54 time: 0.5933 data_time: 0.0232 memory: 13723 grad_norm: 3.9589 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8290 loss: 1.8290 2022/08/08 23:07:13 - mmengine - INFO - Epoch(train) [19][1720/1879] lr: 2.0000e-02 eta: 9:55:40 time: 0.5640 data_time: 0.0244 memory: 13723 grad_norm: 3.7717 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5619 loss: 1.5619 2022/08/08 23:07:24 - mmengine - INFO - Epoch(train) [19][1740/1879] lr: 2.0000e-02 eta: 9:55:27 time: 0.5804 data_time: 0.0249 memory: 13723 grad_norm: 3.7823 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8531 loss: 1.8531 2022/08/08 23:07:36 - mmengine - INFO - Epoch(train) [19][1760/1879] lr: 2.0000e-02 eta: 9:55:14 time: 0.5766 data_time: 0.0263 memory: 13723 grad_norm: 3.8137 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6366 loss: 1.6366 2022/08/08 23:07:47 - mmengine - INFO - Epoch(train) [19][1780/1879] lr: 2.0000e-02 eta: 9:55:00 time: 0.5769 data_time: 0.0258 memory: 13723 grad_norm: 3.7978 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6436 loss: 1.6436 2022/08/08 23:07:59 - mmengine - INFO - Epoch(train) [19][1800/1879] lr: 2.0000e-02 eta: 9:54:48 time: 0.6015 data_time: 0.0555 memory: 13723 grad_norm: 3.7418 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5580 loss: 1.5580 2022/08/08 23:08:11 - mmengine - INFO - Epoch(train) [19][1820/1879] lr: 2.0000e-02 eta: 9:54:34 time: 0.5727 data_time: 0.0252 memory: 13723 grad_norm: 3.7294 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5084 loss: 1.5084 2022/08/08 23:08:22 - mmengine - INFO - Epoch(train) [19][1840/1879] lr: 2.0000e-02 eta: 9:54:21 time: 0.5777 data_time: 0.0269 memory: 13723 grad_norm: 3.7082 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6061 loss: 1.6061 2022/08/08 23:08:34 - mmengine - INFO - Epoch(train) [19][1860/1879] lr: 2.0000e-02 eta: 9:54:07 time: 0.5799 data_time: 0.0248 memory: 13723 grad_norm: 3.8149 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5821 loss: 1.5821 2022/08/08 23:08:44 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 23:08:44 - mmengine - INFO - Epoch(train) [19][1879/1879] lr: 2.0000e-02 eta: 9:54:07 time: 0.5300 data_time: 0.0177 memory: 13723 grad_norm: 3.9123 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.7068 loss: 1.7068 2022/08/08 23:08:57 - mmengine - INFO - Epoch(val) [19][20/155] eta: 0:01:27 time: 0.6514 data_time: 0.5111 memory: 1829 2022/08/08 23:09:06 - mmengine - INFO - Epoch(val) [19][40/155] eta: 0:00:53 time: 0.4652 data_time: 0.3259 memory: 1829 2022/08/08 23:09:19 - mmengine - INFO - Epoch(val) [19][60/155] eta: 0:01:01 time: 0.6454 data_time: 0.5060 memory: 1829 2022/08/08 23:09:29 - mmengine - INFO - Epoch(val) [19][80/155] eta: 0:00:35 time: 0.4708 data_time: 0.3317 memory: 1829 2022/08/08 23:09:41 - mmengine - INFO - Epoch(val) [19][100/155] eta: 0:00:33 time: 0.6049 data_time: 0.4662 memory: 1829 2022/08/08 23:09:50 - mmengine - INFO - Epoch(val) [19][120/155] eta: 0:00:15 time: 0.4354 data_time: 0.2970 memory: 1829 2022/08/08 23:10:01 - mmengine - INFO - Epoch(val) [19][140/155] eta: 0:00:08 time: 0.5894 data_time: 0.4503 memory: 1829 2022/08/08 23:10:18 - mmengine - INFO - Epoch(val) [19][155/155] acc/top1: 0.6063 acc/top5: 0.8423 acc/mean1: 0.6063 2022/08/08 23:10:18 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_17.pth is removed 2022/08/08 23:10:20 - mmengine - INFO - The best checkpoint with 0.6063 acc/top1 at 20 epoch is saved to best_acc/top1_epoch_20.pth. 2022/08/08 23:10:36 - mmengine - INFO - Epoch(train) [20][20/1879] lr: 2.0000e-02 eta: 9:53:31 time: 0.8165 data_time: 0.2207 memory: 13723 grad_norm: 3.6311 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5156 loss: 1.5156 2022/08/08 23:10:48 - mmengine - INFO - Epoch(train) [20][40/1879] lr: 2.0000e-02 eta: 9:53:19 time: 0.5939 data_time: 0.0239 memory: 13723 grad_norm: 3.6271 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5155 loss: 1.5155 2022/08/08 23:11:00 - mmengine - INFO - Epoch(train) [20][60/1879] lr: 2.0000e-02 eta: 9:53:05 time: 0.5855 data_time: 0.0255 memory: 13723 grad_norm: 3.7329 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5466 loss: 1.5466 2022/08/08 23:11:11 - mmengine - INFO - Epoch(train) [20][80/1879] lr: 2.0000e-02 eta: 9:52:52 time: 0.5781 data_time: 0.0255 memory: 13723 grad_norm: 3.7251 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4422 loss: 1.4422 2022/08/08 23:11:23 - mmengine - INFO - Epoch(train) [20][100/1879] lr: 2.0000e-02 eta: 9:52:39 time: 0.5741 data_time: 0.0231 memory: 13723 grad_norm: 3.8005 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4818 loss: 1.4818 2022/08/08 23:11:34 - mmengine - INFO - Epoch(train) [20][120/1879] lr: 2.0000e-02 eta: 9:52:25 time: 0.5723 data_time: 0.0255 memory: 13723 grad_norm: 3.7736 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5409 loss: 1.5409 2022/08/08 23:11:46 - mmengine - INFO - Epoch(train) [20][140/1879] lr: 2.0000e-02 eta: 9:52:12 time: 0.5774 data_time: 0.0243 memory: 13723 grad_norm: 3.7663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4364 loss: 1.4364 2022/08/08 23:11:57 - mmengine - INFO - Epoch(train) [20][160/1879] lr: 2.0000e-02 eta: 9:51:59 time: 0.5777 data_time: 0.0244 memory: 13723 grad_norm: 3.8231 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4306 loss: 1.4306 2022/08/08 23:12:09 - mmengine - INFO - Epoch(train) [20][180/1879] lr: 2.0000e-02 eta: 9:51:46 time: 0.5908 data_time: 0.0243 memory: 13723 grad_norm: 3.8340 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6945 loss: 1.6945 2022/08/08 23:12:21 - mmengine - INFO - Epoch(train) [20][200/1879] lr: 2.0000e-02 eta: 9:51:32 time: 0.5792 data_time: 0.0234 memory: 13723 grad_norm: 3.6921 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3325 loss: 1.3325 2022/08/08 23:12:33 - mmengine - INFO - Epoch(train) [20][220/1879] lr: 2.0000e-02 eta: 9:51:21 time: 0.6337 data_time: 0.0281 memory: 13723 grad_norm: 3.7772 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4579 loss: 1.4579 2022/08/08 23:12:45 - mmengine - INFO - Epoch(train) [20][240/1879] lr: 2.0000e-02 eta: 9:51:08 time: 0.5879 data_time: 0.0200 memory: 13723 grad_norm: 3.8159 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4092 loss: 1.4092 2022/08/08 23:12:57 - mmengine - INFO - Epoch(train) [20][260/1879] lr: 2.0000e-02 eta: 9:50:55 time: 0.5837 data_time: 0.0222 memory: 13723 grad_norm: 3.8418 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4598 loss: 1.4598 2022/08/08 23:13:09 - mmengine - INFO - Epoch(train) [20][280/1879] lr: 2.0000e-02 eta: 9:50:42 time: 0.5942 data_time: 0.0441 memory: 13723 grad_norm: 3.7857 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5527 loss: 1.5527 2022/08/08 23:13:21 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 23:13:22 - mmengine - INFO - Epoch(train) [20][300/1879] lr: 2.0000e-02 eta: 9:50:31 time: 0.6472 data_time: 0.0240 memory: 13723 grad_norm: 3.7579 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6575 loss: 1.6575 2022/08/08 23:13:35 - mmengine - INFO - Epoch(train) [20][320/1879] lr: 2.0000e-02 eta: 9:50:19 time: 0.6360 data_time: 0.0212 memory: 13723 grad_norm: 3.6830 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5099 loss: 1.5099 2022/08/08 23:13:49 - mmengine - INFO - Epoch(train) [20][340/1879] lr: 2.0000e-02 eta: 9:50:11 time: 0.7299 data_time: 0.0221 memory: 13723 grad_norm: 3.8764 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6798 loss: 1.6798 2022/08/08 23:14:00 - mmengine - INFO - Epoch(train) [20][360/1879] lr: 2.0000e-02 eta: 9:49:57 time: 0.5607 data_time: 0.0221 memory: 13723 grad_norm: 3.7607 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6714 loss: 1.6714 2022/08/08 23:14:12 - mmengine - INFO - Epoch(train) [20][380/1879] lr: 2.0000e-02 eta: 9:49:44 time: 0.5766 data_time: 0.0243 memory: 13723 grad_norm: 3.9036 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6463 loss: 1.6463 2022/08/08 23:14:24 - mmengine - INFO - Epoch(train) [20][400/1879] lr: 2.0000e-02 eta: 9:49:31 time: 0.5827 data_time: 0.0261 memory: 13723 grad_norm: 3.7303 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6500 loss: 1.6500 2022/08/08 23:14:35 - mmengine - INFO - Epoch(train) [20][420/1879] lr: 2.0000e-02 eta: 9:49:18 time: 0.5863 data_time: 0.0245 memory: 13723 grad_norm: 3.7813 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6492 loss: 1.6492 2022/08/08 23:14:48 - mmengine - INFO - Epoch(train) [20][440/1879] lr: 2.0000e-02 eta: 9:49:06 time: 0.6191 data_time: 0.0236 memory: 13723 grad_norm: 3.7936 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6906 loss: 1.6906 2022/08/08 23:14:59 - mmengine - INFO - Epoch(train) [20][460/1879] lr: 2.0000e-02 eta: 9:48:52 time: 0.5730 data_time: 0.0221 memory: 13723 grad_norm: 3.7946 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5400 loss: 1.5400 2022/08/08 23:15:13 - mmengine - INFO - Epoch(train) [20][480/1879] lr: 2.0000e-02 eta: 9:48:42 time: 0.6722 data_time: 0.0231 memory: 13723 grad_norm: 3.7678 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5884 loss: 1.5884 2022/08/08 23:15:27 - mmengine - INFO - Epoch(train) [20][500/1879] lr: 2.0000e-02 eta: 9:48:33 time: 0.7055 data_time: 0.0285 memory: 13723 grad_norm: 3.7571 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6688 loss: 1.6688 2022/08/08 23:15:38 - mmengine - INFO - Epoch(train) [20][520/1879] lr: 2.0000e-02 eta: 9:48:20 time: 0.5819 data_time: 0.0212 memory: 13723 grad_norm: 3.6891 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5814 loss: 1.5814 2022/08/08 23:15:50 - mmengine - INFO - Epoch(train) [20][540/1879] lr: 2.0000e-02 eta: 9:48:07 time: 0.5905 data_time: 0.0230 memory: 13723 grad_norm: 3.8199 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7890 loss: 1.7890 2022/08/08 23:16:02 - mmengine - INFO - Epoch(train) [20][560/1879] lr: 2.0000e-02 eta: 9:47:54 time: 0.5924 data_time: 0.0241 memory: 13723 grad_norm: 3.7809 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3855 loss: 1.3855 2022/08/08 23:16:14 - mmengine - INFO - Epoch(train) [20][580/1879] lr: 2.0000e-02 eta: 9:47:41 time: 0.5799 data_time: 0.0238 memory: 13723 grad_norm: 3.7254 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5528 loss: 1.5528 2022/08/08 23:16:25 - mmengine - INFO - Epoch(train) [20][600/1879] lr: 2.0000e-02 eta: 9:47:27 time: 0.5798 data_time: 0.0263 memory: 13723 grad_norm: 3.7612 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5211 loss: 1.5211 2022/08/08 23:16:37 - mmengine - INFO - Epoch(train) [20][620/1879] lr: 2.0000e-02 eta: 9:47:14 time: 0.5781 data_time: 0.0231 memory: 13723 grad_norm: 3.7593 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5320 loss: 1.5320 2022/08/08 23:16:48 - mmengine - INFO - Epoch(train) [20][640/1879] lr: 2.0000e-02 eta: 9:47:01 time: 0.5744 data_time: 0.0255 memory: 13723 grad_norm: 3.8989 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6290 loss: 1.6290 2022/08/08 23:17:00 - mmengine - INFO - Epoch(train) [20][660/1879] lr: 2.0000e-02 eta: 9:46:47 time: 0.5723 data_time: 0.0263 memory: 13723 grad_norm: 3.8950 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8143 loss: 1.8143 2022/08/08 23:17:11 - mmengine - INFO - Epoch(train) [20][680/1879] lr: 2.0000e-02 eta: 9:46:34 time: 0.5748 data_time: 0.0251 memory: 13723 grad_norm: 3.7440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4566 loss: 1.4566 2022/08/08 23:17:23 - mmengine - INFO - Epoch(train) [20][700/1879] lr: 2.0000e-02 eta: 9:46:20 time: 0.5760 data_time: 0.0257 memory: 13723 grad_norm: 3.8372 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6173 loss: 1.6173 2022/08/08 23:17:34 - mmengine - INFO - Epoch(train) [20][720/1879] lr: 2.0000e-02 eta: 9:46:07 time: 0.5661 data_time: 0.0248 memory: 13723 grad_norm: 3.7869 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5427 loss: 1.5427 2022/08/08 23:17:46 - mmengine - INFO - Epoch(train) [20][740/1879] lr: 2.0000e-02 eta: 9:45:54 time: 0.5788 data_time: 0.0251 memory: 13723 grad_norm: 3.8230 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9207 loss: 1.9207 2022/08/08 23:17:57 - mmengine - INFO - Epoch(train) [20][760/1879] lr: 2.0000e-02 eta: 9:45:40 time: 0.5780 data_time: 0.0263 memory: 13723 grad_norm: 3.8026 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4705 loss: 1.4705 2022/08/08 23:18:09 - mmengine - INFO - Epoch(train) [20][780/1879] lr: 2.0000e-02 eta: 9:45:27 time: 0.5745 data_time: 0.0257 memory: 13723 grad_norm: 3.7553 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4390 loss: 1.4390 2022/08/08 23:18:21 - mmengine - INFO - Epoch(train) [20][800/1879] lr: 2.0000e-02 eta: 9:45:14 time: 0.5978 data_time: 0.0230 memory: 13723 grad_norm: 3.7948 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7603 loss: 1.7603 2022/08/08 23:18:34 - mmengine - INFO - Epoch(train) [20][820/1879] lr: 2.0000e-02 eta: 9:45:04 time: 0.6613 data_time: 0.0225 memory: 13723 grad_norm: 3.7690 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3541 loss: 1.3541 2022/08/08 23:18:45 - mmengine - INFO - Epoch(train) [20][840/1879] lr: 2.0000e-02 eta: 9:44:50 time: 0.5724 data_time: 0.0257 memory: 13723 grad_norm: 3.7437 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5426 loss: 1.5426 2022/08/08 23:18:57 - mmengine - INFO - Epoch(train) [20][860/1879] lr: 2.0000e-02 eta: 9:44:37 time: 0.5908 data_time: 0.0224 memory: 13723 grad_norm: 3.7391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6215 loss: 1.6215 2022/08/08 23:19:10 - mmengine - INFO - Epoch(train) [20][880/1879] lr: 2.0000e-02 eta: 9:44:26 time: 0.6330 data_time: 0.0250 memory: 13723 grad_norm: 3.8506 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6091 loss: 1.6091 2022/08/08 23:19:22 - mmengine - INFO - Epoch(train) [20][900/1879] lr: 2.0000e-02 eta: 9:44:13 time: 0.5882 data_time: 0.0256 memory: 13723 grad_norm: 3.8104 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5179 loss: 1.5179 2022/08/08 23:19:33 - mmengine - INFO - Epoch(train) [20][920/1879] lr: 2.0000e-02 eta: 9:43:59 time: 0.5772 data_time: 0.0224 memory: 13723 grad_norm: 3.9426 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6431 loss: 1.6431 2022/08/08 23:19:45 - mmengine - INFO - Epoch(train) [20][940/1879] lr: 2.0000e-02 eta: 9:43:46 time: 0.5786 data_time: 0.0237 memory: 13723 grad_norm: 3.8296 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7541 loss: 1.7541 2022/08/08 23:19:56 - mmengine - INFO - Epoch(train) [20][960/1879] lr: 2.0000e-02 eta: 9:43:33 time: 0.5738 data_time: 0.0234 memory: 13723 grad_norm: 3.7454 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5107 loss: 1.5107 2022/08/08 23:20:08 - mmengine - INFO - Epoch(train) [20][980/1879] lr: 2.0000e-02 eta: 9:43:20 time: 0.5777 data_time: 0.0287 memory: 13723 grad_norm: 3.8003 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5585 loss: 1.5585 2022/08/08 23:20:19 - mmengine - INFO - Epoch(train) [20][1000/1879] lr: 2.0000e-02 eta: 9:43:06 time: 0.5744 data_time: 0.0234 memory: 13723 grad_norm: 3.9245 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3988 loss: 1.3988 2022/08/08 23:20:31 - mmengine - INFO - Epoch(train) [20][1020/1879] lr: 2.0000e-02 eta: 9:42:53 time: 0.5887 data_time: 0.0275 memory: 13723 grad_norm: 3.7907 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4896 loss: 1.4896 2022/08/08 23:20:43 - mmengine - INFO - Epoch(train) [20][1040/1879] lr: 2.0000e-02 eta: 9:42:40 time: 0.5813 data_time: 0.0278 memory: 13723 grad_norm: 3.7149 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6353 loss: 1.6353 2022/08/08 23:20:54 - mmengine - INFO - Epoch(train) [20][1060/1879] lr: 2.0000e-02 eta: 9:42:27 time: 0.5785 data_time: 0.0254 memory: 13723 grad_norm: 3.8421 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8062 loss: 1.8062 2022/08/08 23:21:06 - mmengine - INFO - Epoch(train) [20][1080/1879] lr: 2.0000e-02 eta: 9:42:14 time: 0.5760 data_time: 0.0250 memory: 13723 grad_norm: 3.8061 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6271 loss: 1.6271 2022/08/08 23:21:17 - mmengine - INFO - Epoch(train) [20][1100/1879] lr: 2.0000e-02 eta: 9:42:00 time: 0.5711 data_time: 0.0241 memory: 13723 grad_norm: 3.7538 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6155 loss: 1.6155 2022/08/08 23:21:29 - mmengine - INFO - Epoch(train) [20][1120/1879] lr: 2.0000e-02 eta: 9:41:47 time: 0.5711 data_time: 0.0248 memory: 13723 grad_norm: 3.6824 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5776 loss: 1.5776 2022/08/08 23:21:40 - mmengine - INFO - Epoch(train) [20][1140/1879] lr: 2.0000e-02 eta: 9:41:34 time: 0.5896 data_time: 0.0246 memory: 13723 grad_norm: 3.7930 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.8222 loss: 1.8222 2022/08/08 23:21:52 - mmengine - INFO - Epoch(train) [20][1160/1879] lr: 2.0000e-02 eta: 9:41:20 time: 0.5730 data_time: 0.0281 memory: 13723 grad_norm: 3.8342 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5720 loss: 1.5720 2022/08/08 23:22:03 - mmengine - INFO - Epoch(train) [20][1180/1879] lr: 2.0000e-02 eta: 9:41:07 time: 0.5671 data_time: 0.0264 memory: 13723 grad_norm: 3.8023 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4106 loss: 1.4106 2022/08/08 23:22:15 - mmengine - INFO - Epoch(train) [20][1200/1879] lr: 2.0000e-02 eta: 9:40:54 time: 0.5794 data_time: 0.0253 memory: 13723 grad_norm: 3.9124 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7819 loss: 1.7819 2022/08/08 23:22:26 - mmengine - INFO - Epoch(train) [20][1220/1879] lr: 2.0000e-02 eta: 9:40:40 time: 0.5664 data_time: 0.0230 memory: 13723 grad_norm: 3.8548 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5580 loss: 1.5580 2022/08/08 23:22:38 - mmengine - INFO - Epoch(train) [20][1240/1879] lr: 2.0000e-02 eta: 9:40:27 time: 0.5732 data_time: 0.0265 memory: 13723 grad_norm: 3.7230 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5718 loss: 1.5718 2022/08/08 23:22:49 - mmengine - INFO - Epoch(train) [20][1260/1879] lr: 2.0000e-02 eta: 9:40:13 time: 0.5778 data_time: 0.0236 memory: 13723 grad_norm: 3.8417 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6314 loss: 1.6314 2022/08/08 23:23:01 - mmengine - INFO - Epoch(train) [20][1280/1879] lr: 2.0000e-02 eta: 9:40:00 time: 0.5860 data_time: 0.0411 memory: 13723 grad_norm: 3.7961 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5866 loss: 1.5866 2022/08/08 23:23:12 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 23:23:12 - mmengine - INFO - Epoch(train) [20][1300/1879] lr: 2.0000e-02 eta: 9:39:47 time: 0.5655 data_time: 0.0273 memory: 13723 grad_norm: 3.7320 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6132 loss: 1.6132 2022/08/08 23:23:24 - mmengine - INFO - Epoch(train) [20][1320/1879] lr: 2.0000e-02 eta: 9:39:33 time: 0.5725 data_time: 0.0262 memory: 13723 grad_norm: 3.7080 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4751 loss: 1.4751 2022/08/08 23:23:35 - mmengine - INFO - Epoch(train) [20][1340/1879] lr: 2.0000e-02 eta: 9:39:20 time: 0.5776 data_time: 0.0315 memory: 13723 grad_norm: 3.7890 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4569 loss: 1.4569 2022/08/08 23:23:47 - mmengine - INFO - Epoch(train) [20][1360/1879] lr: 2.0000e-02 eta: 9:39:07 time: 0.5714 data_time: 0.0232 memory: 13723 grad_norm: 3.7882 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6522 loss: 1.6522 2022/08/08 23:23:58 - mmengine - INFO - Epoch(train) [20][1380/1879] lr: 2.0000e-02 eta: 9:38:53 time: 0.5700 data_time: 0.0263 memory: 13723 grad_norm: 3.6762 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4946 loss: 1.4946 2022/08/08 23:24:10 - mmengine - INFO - Epoch(train) [20][1400/1879] lr: 2.0000e-02 eta: 9:38:41 time: 0.6087 data_time: 0.0269 memory: 13723 grad_norm: 3.7000 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5647 loss: 1.5647 2022/08/08 23:24:22 - mmengine - INFO - Epoch(train) [20][1420/1879] lr: 2.0000e-02 eta: 9:38:28 time: 0.5718 data_time: 0.0219 memory: 13723 grad_norm: 3.9281 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6844 loss: 1.6844 2022/08/08 23:24:33 - mmengine - INFO - Epoch(train) [20][1440/1879] lr: 2.0000e-02 eta: 9:38:14 time: 0.5708 data_time: 0.0247 memory: 13723 grad_norm: 3.7184 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5655 loss: 1.5655 2022/08/08 23:24:45 - mmengine - INFO - Epoch(train) [20][1460/1879] lr: 2.0000e-02 eta: 9:38:01 time: 0.5812 data_time: 0.0240 memory: 13723 grad_norm: 3.7133 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5589 loss: 1.5589 2022/08/08 23:24:57 - mmengine - INFO - Epoch(train) [20][1480/1879] lr: 2.0000e-02 eta: 9:37:48 time: 0.5989 data_time: 0.0550 memory: 13723 grad_norm: 3.8965 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5565 loss: 1.5565 2022/08/08 23:25:10 - mmengine - INFO - Epoch(train) [20][1500/1879] lr: 2.0000e-02 eta: 9:37:38 time: 0.6566 data_time: 0.0247 memory: 13723 grad_norm: 3.8939 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6507 loss: 1.6507 2022/08/08 23:25:22 - mmengine - INFO - Epoch(train) [20][1520/1879] lr: 2.0000e-02 eta: 9:37:25 time: 0.6069 data_time: 0.0284 memory: 13723 grad_norm: 3.7206 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6641 loss: 1.6641 2022/08/08 23:25:34 - mmengine - INFO - Epoch(train) [20][1540/1879] lr: 2.0000e-02 eta: 9:37:12 time: 0.5882 data_time: 0.0246 memory: 13723 grad_norm: 3.7270 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7191 loss: 1.7191 2022/08/08 23:25:45 - mmengine - INFO - Epoch(train) [20][1560/1879] lr: 2.0000e-02 eta: 9:36:59 time: 0.5713 data_time: 0.0227 memory: 13723 grad_norm: 3.7126 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6460 loss: 1.6460 2022/08/08 23:25:57 - mmengine - INFO - Epoch(train) [20][1580/1879] lr: 2.0000e-02 eta: 9:36:46 time: 0.5731 data_time: 0.0249 memory: 13723 grad_norm: 3.7714 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6546 loss: 1.6546 2022/08/08 23:26:08 - mmengine - INFO - Epoch(train) [20][1600/1879] lr: 2.0000e-02 eta: 9:36:32 time: 0.5662 data_time: 0.0245 memory: 13723 grad_norm: 3.8131 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5837 loss: 1.5837 2022/08/08 23:26:20 - mmengine - INFO - Epoch(train) [20][1620/1879] lr: 2.0000e-02 eta: 9:36:19 time: 0.5764 data_time: 0.0263 memory: 13723 grad_norm: 3.6658 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6131 loss: 1.6131 2022/08/08 23:26:31 - mmengine - INFO - Epoch(train) [20][1640/1879] lr: 2.0000e-02 eta: 9:36:06 time: 0.5829 data_time: 0.0233 memory: 13723 grad_norm: 3.7480 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5835 loss: 1.5835 2022/08/08 23:26:43 - mmengine - INFO - Epoch(train) [20][1660/1879] lr: 2.0000e-02 eta: 9:35:53 time: 0.5969 data_time: 0.0233 memory: 13723 grad_norm: 3.7744 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6940 loss: 1.6940 2022/08/08 23:26:55 - mmengine - INFO - Epoch(train) [20][1680/1879] lr: 2.0000e-02 eta: 9:35:40 time: 0.5700 data_time: 0.0234 memory: 13723 grad_norm: 3.8012 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6481 loss: 1.6481 2022/08/08 23:27:06 - mmengine - INFO - Epoch(train) [20][1700/1879] lr: 2.0000e-02 eta: 9:35:26 time: 0.5776 data_time: 0.0232 memory: 13723 grad_norm: 3.7337 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4640 loss: 1.4640 2022/08/08 23:27:18 - mmengine - INFO - Epoch(train) [20][1720/1879] lr: 2.0000e-02 eta: 9:35:13 time: 0.5743 data_time: 0.0255 memory: 13723 grad_norm: 3.8637 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7666 loss: 1.7666 2022/08/08 23:27:32 - mmengine - INFO - Epoch(train) [20][1740/1879] lr: 2.0000e-02 eta: 9:35:03 time: 0.6927 data_time: 0.0199 memory: 13723 grad_norm: 3.8807 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6710 loss: 1.6710 2022/08/08 23:27:43 - mmengine - INFO - Epoch(train) [20][1760/1879] lr: 2.0000e-02 eta: 9:34:50 time: 0.5748 data_time: 0.0233 memory: 13723 grad_norm: 3.7043 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4176 loss: 1.4176 2022/08/08 23:27:55 - mmengine - INFO - Epoch(train) [20][1780/1879] lr: 2.0000e-02 eta: 9:34:37 time: 0.5789 data_time: 0.0253 memory: 13723 grad_norm: 3.7928 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6194 loss: 1.6194 2022/08/08 23:28:06 - mmengine - INFO - Epoch(train) [20][1800/1879] lr: 2.0000e-02 eta: 9:34:24 time: 0.5768 data_time: 0.0269 memory: 13723 grad_norm: 3.8082 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6867 loss: 1.6867 2022/08/08 23:28:18 - mmengine - INFO - Epoch(train) [20][1820/1879] lr: 2.0000e-02 eta: 9:34:10 time: 0.5747 data_time: 0.0254 memory: 13723 grad_norm: 3.7713 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5604 loss: 1.5604 2022/08/08 23:28:29 - mmengine - INFO - Epoch(train) [20][1840/1879] lr: 2.0000e-02 eta: 9:33:57 time: 0.5783 data_time: 0.0366 memory: 13723 grad_norm: 3.8358 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5565 loss: 1.5565 2022/08/08 23:28:41 - mmengine - INFO - Epoch(train) [20][1860/1879] lr: 2.0000e-02 eta: 9:33:44 time: 0.5735 data_time: 0.0254 memory: 13723 grad_norm: 3.8063 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6540 loss: 1.6540 2022/08/08 23:28:51 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 23:28:51 - mmengine - INFO - Epoch(train) [20][1879/1879] lr: 2.0000e-02 eta: 9:33:44 time: 0.5308 data_time: 0.0192 memory: 13723 grad_norm: 3.8883 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.6727 loss: 1.6727 2022/08/08 23:29:05 - mmengine - INFO - Epoch(val) [20][20/155] eta: 0:01:32 time: 0.6845 data_time: 0.5447 memory: 1829 2022/08/08 23:29:14 - mmengine - INFO - Epoch(val) [20][40/155] eta: 0:00:52 time: 0.4564 data_time: 0.3176 memory: 1829 2022/08/08 23:29:26 - mmengine - INFO - Epoch(val) [20][60/155] eta: 0:00:56 time: 0.5938 data_time: 0.4557 memory: 1829 2022/08/08 23:29:35 - mmengine - INFO - Epoch(val) [20][80/155] eta: 0:00:33 time: 0.4505 data_time: 0.3067 memory: 1829 2022/08/08 23:29:46 - mmengine - INFO - Epoch(val) [20][100/155] eta: 0:00:32 time: 0.5878 data_time: 0.4499 memory: 1829 2022/08/08 23:29:55 - mmengine - INFO - Epoch(val) [20][120/155] eta: 0:00:15 time: 0.4569 data_time: 0.3130 memory: 1829 2022/08/08 23:30:15 - mmengine - INFO - Epoch(val) [20][140/155] eta: 0:00:15 time: 1.0010 data_time: 0.8620 memory: 1829 2022/08/08 23:30:29 - mmengine - INFO - Epoch(val) [20][155/155] acc/top1: 0.6105 acc/top5: 0.8428 acc/mean1: 0.6103 2022/08/08 23:30:29 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_20.pth is removed 2022/08/08 23:30:30 - mmengine - INFO - The best checkpoint with 0.6105 acc/top1 at 21 epoch is saved to best_acc/top1_epoch_21.pth. 2022/08/08 23:30:47 - mmengine - INFO - Epoch(train) [21][20/1879] lr: 2.0000e-02 eta: 9:33:09 time: 0.8151 data_time: 0.2417 memory: 13723 grad_norm: 3.7647 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6616 loss: 1.6616 2022/08/08 23:30:59 - mmengine - INFO - Epoch(train) [21][40/1879] lr: 2.0000e-02 eta: 9:32:56 time: 0.6026 data_time: 0.0231 memory: 13723 grad_norm: 3.6815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6981 loss: 1.6981 2022/08/08 23:31:11 - mmengine - INFO - Epoch(train) [21][60/1879] lr: 2.0000e-02 eta: 9:32:44 time: 0.6059 data_time: 0.0245 memory: 13723 grad_norm: 3.7293 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6080 loss: 1.6080 2022/08/08 23:31:22 - mmengine - INFO - Epoch(train) [21][80/1879] lr: 2.0000e-02 eta: 9:32:31 time: 0.5801 data_time: 0.0227 memory: 13723 grad_norm: 3.6909 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5490 loss: 1.5490 2022/08/08 23:31:34 - mmengine - INFO - Epoch(train) [21][100/1879] lr: 2.0000e-02 eta: 9:32:18 time: 0.5912 data_time: 0.0239 memory: 13723 grad_norm: 3.7319 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4731 loss: 1.4731 2022/08/08 23:31:46 - mmengine - INFO - Epoch(train) [21][120/1879] lr: 2.0000e-02 eta: 9:32:05 time: 0.5708 data_time: 0.0262 memory: 13723 grad_norm: 3.8043 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6626 loss: 1.6626 2022/08/08 23:31:57 - mmengine - INFO - Epoch(train) [21][140/1879] lr: 2.0000e-02 eta: 9:31:52 time: 0.5802 data_time: 0.0262 memory: 13723 grad_norm: 3.7165 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4316 loss: 1.4316 2022/08/08 23:32:09 - mmengine - INFO - Epoch(train) [21][160/1879] lr: 2.0000e-02 eta: 9:31:39 time: 0.5846 data_time: 0.0267 memory: 13723 grad_norm: 3.6686 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3855 loss: 1.3855 2022/08/08 23:32:20 - mmengine - INFO - Epoch(train) [21][180/1879] lr: 2.0000e-02 eta: 9:31:26 time: 0.5735 data_time: 0.0220 memory: 13723 grad_norm: 3.7534 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5265 loss: 1.5265 2022/08/08 23:32:32 - mmengine - INFO - Epoch(train) [21][200/1879] lr: 2.0000e-02 eta: 9:31:12 time: 0.5802 data_time: 0.0255 memory: 13723 grad_norm: 3.8661 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3021 loss: 1.3021 2022/08/08 23:32:44 - mmengine - INFO - Epoch(train) [21][220/1879] lr: 2.0000e-02 eta: 9:30:59 time: 0.5797 data_time: 0.0255 memory: 13723 grad_norm: 3.8273 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4037 loss: 1.4037 2022/08/08 23:32:55 - mmengine - INFO - Epoch(train) [21][240/1879] lr: 2.0000e-02 eta: 9:30:46 time: 0.5698 data_time: 0.0255 memory: 13723 grad_norm: 3.8292 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5808 loss: 1.5808 2022/08/08 23:33:07 - mmengine - INFO - Epoch(train) [21][260/1879] lr: 2.0000e-02 eta: 9:30:33 time: 0.5812 data_time: 0.0245 memory: 13723 grad_norm: 3.7012 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5937 loss: 1.5937 2022/08/08 23:33:18 - mmengine - INFO - Epoch(train) [21][280/1879] lr: 2.0000e-02 eta: 9:30:20 time: 0.5777 data_time: 0.0246 memory: 13723 grad_norm: 3.7170 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4760 loss: 1.4760 2022/08/08 23:33:30 - mmengine - INFO - Epoch(train) [21][300/1879] lr: 2.0000e-02 eta: 9:30:06 time: 0.5744 data_time: 0.0253 memory: 13723 grad_norm: 3.7678 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.4410 loss: 1.4410 2022/08/08 23:33:41 - mmengine - INFO - Epoch(train) [21][320/1879] lr: 2.0000e-02 eta: 9:29:53 time: 0.5810 data_time: 0.0259 memory: 13723 grad_norm: 3.8635 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7007 loss: 1.7007 2022/08/08 23:33:53 - mmengine - INFO - Epoch(train) [21][340/1879] lr: 2.0000e-02 eta: 9:29:41 time: 0.5917 data_time: 0.0274 memory: 13723 grad_norm: 3.7692 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 1.7614 loss: 1.7614 2022/08/08 23:34:05 - mmengine - INFO - Epoch(train) [21][360/1879] lr: 2.0000e-02 eta: 9:29:28 time: 0.5826 data_time: 0.0230 memory: 13723 grad_norm: 3.8075 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6912 loss: 1.6912 2022/08/08 23:34:17 - mmengine - INFO - Epoch(train) [21][380/1879] lr: 2.0000e-02 eta: 9:29:15 time: 0.5870 data_time: 0.0272 memory: 13723 grad_norm: 3.7406 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4548 loss: 1.4548 2022/08/08 23:34:28 - mmengine - INFO - Epoch(train) [21][400/1879] lr: 2.0000e-02 eta: 9:29:02 time: 0.5841 data_time: 0.0245 memory: 13723 grad_norm: 3.7271 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6481 loss: 1.6481 2022/08/08 23:34:40 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 23:34:40 - mmengine - INFO - Epoch(train) [21][420/1879] lr: 2.0000e-02 eta: 9:28:49 time: 0.5839 data_time: 0.0254 memory: 13723 grad_norm: 3.8289 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6500 loss: 1.6500 2022/08/08 23:34:51 - mmengine - INFO - Epoch(train) [21][440/1879] lr: 2.0000e-02 eta: 9:28:36 time: 0.5773 data_time: 0.0244 memory: 13723 grad_norm: 3.8107 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6196 loss: 1.6196 2022/08/08 23:35:03 - mmengine - INFO - Epoch(train) [21][460/1879] lr: 2.0000e-02 eta: 9:28:22 time: 0.5771 data_time: 0.0258 memory: 13723 grad_norm: 3.7966 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6347 loss: 1.6347 2022/08/08 23:35:18 - mmengine - INFO - Epoch(train) [21][480/1879] lr: 2.0000e-02 eta: 9:28:14 time: 0.7499 data_time: 0.0220 memory: 13723 grad_norm: 3.8269 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8188 loss: 1.8188 2022/08/08 23:35:30 - mmengine - INFO - Epoch(train) [21][500/1879] lr: 2.0000e-02 eta: 9:28:02 time: 0.5915 data_time: 0.0249 memory: 13723 grad_norm: 3.8045 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7365 loss: 1.7365 2022/08/08 23:35:42 - mmengine - INFO - Epoch(train) [21][520/1879] lr: 2.0000e-02 eta: 9:27:49 time: 0.5870 data_time: 0.0255 memory: 13723 grad_norm: 3.7176 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7641 loss: 1.7641 2022/08/08 23:35:53 - mmengine - INFO - Epoch(train) [21][540/1879] lr: 2.0000e-02 eta: 9:27:36 time: 0.5899 data_time: 0.0234 memory: 13723 grad_norm: 3.7305 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6685 loss: 1.6685 2022/08/08 23:36:05 - mmengine - INFO - Epoch(train) [21][560/1879] lr: 2.0000e-02 eta: 9:27:23 time: 0.5795 data_time: 0.0243 memory: 13723 grad_norm: 3.8633 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6485 loss: 1.6485 2022/08/08 23:36:17 - mmengine - INFO - Epoch(train) [21][580/1879] lr: 2.0000e-02 eta: 9:27:10 time: 0.5866 data_time: 0.0236 memory: 13723 grad_norm: 3.7659 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6902 loss: 1.6902 2022/08/08 23:36:28 - mmengine - INFO - Epoch(train) [21][600/1879] lr: 2.0000e-02 eta: 9:26:57 time: 0.5747 data_time: 0.0248 memory: 13723 grad_norm: 3.6949 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4509 loss: 1.4509 2022/08/08 23:36:40 - mmengine - INFO - Epoch(train) [21][620/1879] lr: 2.0000e-02 eta: 9:26:43 time: 0.5706 data_time: 0.0254 memory: 13723 grad_norm: 3.8733 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7524 loss: 1.7524 2022/08/08 23:36:51 - mmengine - INFO - Epoch(train) [21][640/1879] lr: 2.0000e-02 eta: 9:26:30 time: 0.5784 data_time: 0.0260 memory: 13723 grad_norm: 3.7438 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7818 loss: 1.7818 2022/08/08 23:37:03 - mmengine - INFO - Epoch(train) [21][660/1879] lr: 2.0000e-02 eta: 9:26:17 time: 0.5836 data_time: 0.0265 memory: 13723 grad_norm: 3.8637 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5626 loss: 1.5626 2022/08/08 23:37:14 - mmengine - INFO - Epoch(train) [21][680/1879] lr: 2.0000e-02 eta: 9:26:04 time: 0.5729 data_time: 0.0256 memory: 13723 grad_norm: 3.8604 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7388 loss: 1.7388 2022/08/08 23:37:26 - mmengine - INFO - Epoch(train) [21][700/1879] lr: 2.0000e-02 eta: 9:25:51 time: 0.5695 data_time: 0.0254 memory: 13723 grad_norm: 3.7365 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7444 loss: 1.7444 2022/08/08 23:37:37 - mmengine - INFO - Epoch(train) [21][720/1879] lr: 2.0000e-02 eta: 9:25:38 time: 0.5768 data_time: 0.0253 memory: 13723 grad_norm: 3.7484 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4600 loss: 1.4600 2022/08/08 23:37:49 - mmengine - INFO - Epoch(train) [21][740/1879] lr: 2.0000e-02 eta: 9:25:24 time: 0.5723 data_time: 0.0238 memory: 13723 grad_norm: 3.7391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4250 loss: 1.4250 2022/08/08 23:38:00 - mmengine - INFO - Epoch(train) [21][760/1879] lr: 2.0000e-02 eta: 9:25:11 time: 0.5775 data_time: 0.0280 memory: 13723 grad_norm: 3.8146 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6624 loss: 1.6624 2022/08/08 23:38:12 - mmengine - INFO - Epoch(train) [21][780/1879] lr: 2.0000e-02 eta: 9:24:58 time: 0.5822 data_time: 0.0216 memory: 13723 grad_norm: 3.7870 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5125 loss: 1.5125 2022/08/08 23:38:24 - mmengine - INFO - Epoch(train) [21][800/1879] lr: 2.0000e-02 eta: 9:24:45 time: 0.5805 data_time: 0.0272 memory: 13723 grad_norm: 3.8160 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7031 loss: 1.7031 2022/08/08 23:38:35 - mmengine - INFO - Epoch(train) [21][820/1879] lr: 2.0000e-02 eta: 9:24:32 time: 0.5848 data_time: 0.0219 memory: 13723 grad_norm: 3.7501 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3929 loss: 1.3929 2022/08/08 23:38:47 - mmengine - INFO - Epoch(train) [21][840/1879] lr: 2.0000e-02 eta: 9:24:19 time: 0.5869 data_time: 0.0261 memory: 13723 grad_norm: 3.8477 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7204 loss: 1.7204 2022/08/08 23:38:59 - mmengine - INFO - Epoch(train) [21][860/1879] lr: 2.0000e-02 eta: 9:24:06 time: 0.5774 data_time: 0.0238 memory: 13723 grad_norm: 3.7410 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5436 loss: 1.5436 2022/08/08 23:39:10 - mmengine - INFO - Epoch(train) [21][880/1879] lr: 2.0000e-02 eta: 9:23:53 time: 0.5855 data_time: 0.0251 memory: 13723 grad_norm: 3.8053 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6488 loss: 1.6488 2022/08/08 23:39:22 - mmengine - INFO - Epoch(train) [21][900/1879] lr: 2.0000e-02 eta: 9:23:40 time: 0.5817 data_time: 0.0259 memory: 13723 grad_norm: 3.7923 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6224 loss: 1.6224 2022/08/08 23:39:34 - mmengine - INFO - Epoch(train) [21][920/1879] lr: 2.0000e-02 eta: 9:23:28 time: 0.6010 data_time: 0.0245 memory: 13723 grad_norm: 3.7189 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.5600 loss: 1.5600 2022/08/08 23:39:45 - mmengine - INFO - Epoch(train) [21][940/1879] lr: 2.0000e-02 eta: 9:23:15 time: 0.5741 data_time: 0.0226 memory: 13723 grad_norm: 3.7848 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6921 loss: 1.6921 2022/08/08 23:39:57 - mmengine - INFO - Epoch(train) [21][960/1879] lr: 2.0000e-02 eta: 9:23:02 time: 0.5938 data_time: 0.0232 memory: 13723 grad_norm: 3.7632 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7991 loss: 1.7991 2022/08/08 23:40:11 - mmengine - INFO - Epoch(train) [21][980/1879] lr: 2.0000e-02 eta: 9:22:52 time: 0.6859 data_time: 0.0259 memory: 13723 grad_norm: 3.9054 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6140 loss: 1.6140 2022/08/08 23:40:25 - mmengine - INFO - Epoch(train) [21][1000/1879] lr: 2.0000e-02 eta: 9:22:43 time: 0.7060 data_time: 0.0230 memory: 13723 grad_norm: 3.8061 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4709 loss: 1.4709 2022/08/08 23:40:37 - mmengine - INFO - Epoch(train) [21][1020/1879] lr: 2.0000e-02 eta: 9:22:29 time: 0.5788 data_time: 0.0233 memory: 13723 grad_norm: 3.7935 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7132 loss: 1.7132 2022/08/08 23:40:48 - mmengine - INFO - Epoch(train) [21][1040/1879] lr: 2.0000e-02 eta: 9:22:16 time: 0.5742 data_time: 0.0245 memory: 13723 grad_norm: 3.8129 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6843 loss: 1.6843 2022/08/08 23:41:00 - mmengine - INFO - Epoch(train) [21][1060/1879] lr: 2.0000e-02 eta: 9:22:04 time: 0.6113 data_time: 0.0226 memory: 13723 grad_norm: 3.8591 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6861 loss: 1.6861 2022/08/08 23:41:12 - mmengine - INFO - Epoch(train) [21][1080/1879] lr: 2.0000e-02 eta: 9:21:51 time: 0.5733 data_time: 0.0283 memory: 13723 grad_norm: 3.8361 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6076 loss: 1.6076 2022/08/08 23:41:24 - mmengine - INFO - Epoch(train) [21][1100/1879] lr: 2.0000e-02 eta: 9:21:39 time: 0.6171 data_time: 0.0226 memory: 13723 grad_norm: 3.8249 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7228 loss: 1.7228 2022/08/08 23:41:37 - mmengine - INFO - Epoch(train) [21][1120/1879] lr: 2.0000e-02 eta: 9:21:27 time: 0.6153 data_time: 0.0224 memory: 13723 grad_norm: 3.8003 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3743 loss: 1.3743 2022/08/08 23:41:48 - mmengine - INFO - Epoch(train) [21][1140/1879] lr: 2.0000e-02 eta: 9:21:13 time: 0.5640 data_time: 0.0262 memory: 13723 grad_norm: 3.9350 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.4477 loss: 1.4477 2022/08/08 23:41:59 - mmengine - INFO - Epoch(train) [21][1160/1879] lr: 2.0000e-02 eta: 9:21:00 time: 0.5677 data_time: 0.0252 memory: 13723 grad_norm: 3.9147 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6024 loss: 1.6024 2022/08/08 23:42:11 - mmengine - INFO - Epoch(train) [21][1180/1879] lr: 2.0000e-02 eta: 9:20:47 time: 0.5823 data_time: 0.0255 memory: 13723 grad_norm: 3.9020 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7043 loss: 1.7043 2022/08/08 23:42:24 - mmengine - INFO - Epoch(train) [21][1200/1879] lr: 2.0000e-02 eta: 9:20:36 time: 0.6549 data_time: 0.0247 memory: 13723 grad_norm: 3.7764 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5429 loss: 1.5429 2022/08/08 23:42:35 - mmengine - INFO - Epoch(train) [21][1220/1879] lr: 2.0000e-02 eta: 9:20:23 time: 0.5663 data_time: 0.0219 memory: 13723 grad_norm: 3.7846 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5140 loss: 1.5140 2022/08/08 23:42:47 - mmengine - INFO - Epoch(train) [21][1240/1879] lr: 2.0000e-02 eta: 9:20:10 time: 0.5805 data_time: 0.0262 memory: 13723 grad_norm: 3.6999 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5284 loss: 1.5284 2022/08/08 23:42:59 - mmengine - INFO - Epoch(train) [21][1260/1879] lr: 2.0000e-02 eta: 9:19:57 time: 0.5816 data_time: 0.0220 memory: 13723 grad_norm: 3.8518 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6456 loss: 1.6456 2022/08/08 23:43:10 - mmengine - INFO - Epoch(train) [21][1280/1879] lr: 2.0000e-02 eta: 9:19:44 time: 0.5860 data_time: 0.0274 memory: 13723 grad_norm: 3.7049 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4393 loss: 1.4393 2022/08/08 23:43:22 - mmengine - INFO - Epoch(train) [21][1300/1879] lr: 2.0000e-02 eta: 9:19:31 time: 0.5730 data_time: 0.0223 memory: 13723 grad_norm: 3.8039 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6263 loss: 1.6263 2022/08/08 23:43:34 - mmengine - INFO - Epoch(train) [21][1320/1879] lr: 2.0000e-02 eta: 9:19:17 time: 0.5766 data_time: 0.0264 memory: 13723 grad_norm: 3.6506 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4870 loss: 1.4870 2022/08/08 23:43:45 - mmengine - INFO - Epoch(train) [21][1340/1879] lr: 2.0000e-02 eta: 9:19:05 time: 0.5934 data_time: 0.0398 memory: 13723 grad_norm: 3.7447 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5523 loss: 1.5523 2022/08/08 23:43:57 - mmengine - INFO - Epoch(train) [21][1360/1879] lr: 2.0000e-02 eta: 9:18:52 time: 0.5835 data_time: 0.0310 memory: 13723 grad_norm: 3.7198 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4286 loss: 1.4286 2022/08/08 23:44:09 - mmengine - INFO - Epoch(train) [21][1380/1879] lr: 2.0000e-02 eta: 9:18:39 time: 0.5805 data_time: 0.0240 memory: 13723 grad_norm: 3.7753 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5339 loss: 1.5339 2022/08/08 23:44:20 - mmengine - INFO - Epoch(train) [21][1400/1879] lr: 2.0000e-02 eta: 9:18:26 time: 0.5987 data_time: 0.0271 memory: 13723 grad_norm: 3.8189 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5023 loss: 1.5023 2022/08/08 23:44:32 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 23:44:32 - mmengine - INFO - Epoch(train) [21][1420/1879] lr: 2.0000e-02 eta: 9:18:13 time: 0.5749 data_time: 0.0219 memory: 13723 grad_norm: 3.7794 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4146 loss: 1.4146 2022/08/08 23:44:44 - mmengine - INFO - Epoch(train) [21][1440/1879] lr: 2.0000e-02 eta: 9:18:00 time: 0.5934 data_time: 0.0446 memory: 13723 grad_norm: 3.8278 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4900 loss: 1.4900 2022/08/08 23:44:55 - mmengine - INFO - Epoch(train) [21][1460/1879] lr: 2.0000e-02 eta: 9:17:47 time: 0.5731 data_time: 0.0235 memory: 13723 grad_norm: 3.8583 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6037 loss: 1.6037 2022/08/08 23:45:07 - mmengine - INFO - Epoch(train) [21][1480/1879] lr: 2.0000e-02 eta: 9:17:34 time: 0.5637 data_time: 0.0237 memory: 13723 grad_norm: 3.7334 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5942 loss: 1.5942 2022/08/08 23:45:21 - mmengine - INFO - Epoch(train) [21][1500/1879] lr: 2.0000e-02 eta: 9:17:24 time: 0.7043 data_time: 0.0251 memory: 13723 grad_norm: 3.7688 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6102 loss: 1.6102 2022/08/08 23:45:33 - mmengine - INFO - Epoch(train) [21][1520/1879] lr: 2.0000e-02 eta: 9:17:12 time: 0.5927 data_time: 0.0269 memory: 13723 grad_norm: 3.8485 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6088 loss: 1.6088 2022/08/08 23:45:45 - mmengine - INFO - Epoch(train) [21][1540/1879] lr: 2.0000e-02 eta: 9:16:59 time: 0.6089 data_time: 0.0250 memory: 13723 grad_norm: 3.8622 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6786 loss: 1.6786 2022/08/08 23:45:57 - mmengine - INFO - Epoch(train) [21][1560/1879] lr: 2.0000e-02 eta: 9:16:47 time: 0.5928 data_time: 0.0266 memory: 13723 grad_norm: 3.9591 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6311 loss: 1.6311 2022/08/08 23:46:08 - mmengine - INFO - Epoch(train) [21][1580/1879] lr: 2.0000e-02 eta: 9:16:34 time: 0.5815 data_time: 0.0241 memory: 13723 grad_norm: 3.7014 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4590 loss: 1.4590 2022/08/08 23:46:20 - mmengine - INFO - Epoch(train) [21][1600/1879] lr: 2.0000e-02 eta: 9:16:21 time: 0.5884 data_time: 0.0260 memory: 13723 grad_norm: 3.7827 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6409 loss: 1.6409 2022/08/08 23:46:32 - mmengine - INFO - Epoch(train) [21][1620/1879] lr: 2.0000e-02 eta: 9:16:08 time: 0.5790 data_time: 0.0221 memory: 13723 grad_norm: 3.7661 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3506 loss: 1.3506 2022/08/08 23:46:44 - mmengine - INFO - Epoch(train) [21][1640/1879] lr: 2.0000e-02 eta: 9:15:56 time: 0.6063 data_time: 0.0248 memory: 13723 grad_norm: 3.8490 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5109 loss: 1.5109 2022/08/08 23:46:55 - mmengine - INFO - Epoch(train) [21][1660/1879] lr: 2.0000e-02 eta: 9:15:43 time: 0.5774 data_time: 0.0216 memory: 13723 grad_norm: 3.8636 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.6407 loss: 1.6407 2022/08/08 23:47:07 - mmengine - INFO - Epoch(train) [21][1680/1879] lr: 2.0000e-02 eta: 9:15:29 time: 0.5769 data_time: 0.0240 memory: 13723 grad_norm: 3.9586 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6309 loss: 1.6309 2022/08/08 23:47:19 - mmengine - INFO - Epoch(train) [21][1700/1879] lr: 2.0000e-02 eta: 9:15:17 time: 0.5839 data_time: 0.0238 memory: 13723 grad_norm: 3.9357 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5456 loss: 1.5456 2022/08/08 23:47:30 - mmengine - INFO - Epoch(train) [21][1720/1879] lr: 2.0000e-02 eta: 9:15:03 time: 0.5740 data_time: 0.0244 memory: 13723 grad_norm: 3.8297 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7596 loss: 1.7596 2022/08/08 23:47:43 - mmengine - INFO - Epoch(train) [21][1740/1879] lr: 2.0000e-02 eta: 9:14:52 time: 0.6463 data_time: 0.0225 memory: 13723 grad_norm: 3.7628 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5300 loss: 1.5300 2022/08/08 23:47:54 - mmengine - INFO - Epoch(train) [21][1760/1879] lr: 2.0000e-02 eta: 9:14:39 time: 0.5708 data_time: 0.0234 memory: 13723 grad_norm: 3.7078 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5371 loss: 1.5371 2022/08/08 23:48:07 - mmengine - INFO - Epoch(train) [21][1780/1879] lr: 2.0000e-02 eta: 9:14:28 time: 0.6548 data_time: 0.0247 memory: 13723 grad_norm: 3.8382 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2986 loss: 1.2986 2022/08/08 23:48:19 - mmengine - INFO - Epoch(train) [21][1800/1879] lr: 2.0000e-02 eta: 9:14:15 time: 0.5633 data_time: 0.0220 memory: 13723 grad_norm: 3.7330 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.4195 loss: 1.4195 2022/08/08 23:48:30 - mmengine - INFO - Epoch(train) [21][1820/1879] lr: 2.0000e-02 eta: 9:14:01 time: 0.5645 data_time: 0.0243 memory: 13723 grad_norm: 3.7131 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5308 loss: 1.5308 2022/08/08 23:48:42 - mmengine - INFO - Epoch(train) [21][1840/1879] lr: 2.0000e-02 eta: 9:13:48 time: 0.5797 data_time: 0.0265 memory: 13723 grad_norm: 3.8274 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4656 loss: 1.4656 2022/08/08 23:48:54 - mmengine - INFO - Epoch(train) [21][1860/1879] lr: 2.0000e-02 eta: 9:13:37 time: 0.6289 data_time: 0.0233 memory: 13723 grad_norm: 3.7606 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6644 loss: 1.6644 2022/08/08 23:49:05 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 23:49:05 - mmengine - INFO - Epoch(train) [21][1879/1879] lr: 2.0000e-02 eta: 9:13:37 time: 0.5893 data_time: 0.0188 memory: 13723 grad_norm: 3.8315 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.4166 loss: 1.4166 2022/08/08 23:49:05 - mmengine - INFO - Saving checkpoint at 21 epochs 2022/08/08 23:49:20 - mmengine - INFO - Epoch(val) [21][20/155] eta: 0:01:26 time: 0.6374 data_time: 0.4971 memory: 1829 2022/08/08 23:49:30 - mmengine - INFO - Epoch(val) [21][40/155] eta: 0:00:56 time: 0.4917 data_time: 0.3527 memory: 1829 2022/08/08 23:49:40 - mmengine - INFO - Epoch(val) [21][60/155] eta: 0:00:51 time: 0.5409 data_time: 0.4027 memory: 1829 2022/08/08 23:49:51 - mmengine - INFO - Epoch(val) [21][80/155] eta: 0:00:39 time: 0.5314 data_time: 0.3929 memory: 1829 2022/08/08 23:50:01 - mmengine - INFO - Epoch(val) [21][100/155] eta: 0:00:27 time: 0.5000 data_time: 0.3605 memory: 1829 2022/08/08 23:50:14 - mmengine - INFO - Epoch(val) [21][120/155] eta: 0:00:22 time: 0.6323 data_time: 0.4934 memory: 1829 2022/08/08 23:50:26 - mmengine - INFO - Epoch(val) [21][140/155] eta: 0:00:08 time: 0.5925 data_time: 0.4555 memory: 1829 2022/08/08 23:50:41 - mmengine - INFO - Epoch(val) [21][155/155] acc/top1: 0.6195 acc/top5: 0.8394 acc/mean1: 0.6193 2022/08/08 23:50:41 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_21.pth is removed 2022/08/08 23:50:42 - mmengine - INFO - The best checkpoint with 0.6195 acc/top1 at 22 epoch is saved to best_acc/top1_epoch_22.pth. 2022/08/08 23:51:01 - mmengine - INFO - Epoch(train) [22][20/1879] lr: 2.0000e-02 eta: 9:13:06 time: 0.9307 data_time: 0.2235 memory: 13723 grad_norm: 3.6509 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4106 loss: 1.4106 2022/08/08 23:51:12 - mmengine - INFO - Epoch(train) [22][40/1879] lr: 2.0000e-02 eta: 9:12:52 time: 0.5736 data_time: 0.0305 memory: 13723 grad_norm: 3.6794 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6128 loss: 1.6128 2022/08/08 23:51:24 - mmengine - INFO - Epoch(train) [22][60/1879] lr: 2.0000e-02 eta: 9:12:39 time: 0.5791 data_time: 0.0230 memory: 13723 grad_norm: 3.7934 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5239 loss: 1.5239 2022/08/08 23:51:35 - mmengine - INFO - Epoch(train) [22][80/1879] lr: 2.0000e-02 eta: 9:12:26 time: 0.5715 data_time: 0.0264 memory: 13723 grad_norm: 3.7814 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4211 loss: 1.4211 2022/08/08 23:51:48 - mmengine - INFO - Epoch(train) [22][100/1879] lr: 2.0000e-02 eta: 9:12:14 time: 0.6088 data_time: 0.0236 memory: 13723 grad_norm: 3.8059 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4813 loss: 1.4813 2022/08/08 23:51:59 - mmengine - INFO - Epoch(train) [22][120/1879] lr: 2.0000e-02 eta: 9:12:01 time: 0.5687 data_time: 0.0265 memory: 13723 grad_norm: 3.8036 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5378 loss: 1.5378 2022/08/08 23:52:10 - mmengine - INFO - Epoch(train) [22][140/1879] lr: 2.0000e-02 eta: 9:11:48 time: 0.5723 data_time: 0.0241 memory: 13723 grad_norm: 3.7626 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5366 loss: 1.5366 2022/08/08 23:52:22 - mmengine - INFO - Epoch(train) [22][160/1879] lr: 2.0000e-02 eta: 9:11:35 time: 0.5915 data_time: 0.0250 memory: 13723 grad_norm: 3.7698 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7179 loss: 1.7179 2022/08/08 23:52:34 - mmengine - INFO - Epoch(train) [22][180/1879] lr: 2.0000e-02 eta: 9:11:22 time: 0.5739 data_time: 0.0218 memory: 13723 grad_norm: 3.8850 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5521 loss: 1.5521 2022/08/08 23:52:45 - mmengine - INFO - Epoch(train) [22][200/1879] lr: 2.0000e-02 eta: 9:11:09 time: 0.5841 data_time: 0.0245 memory: 13723 grad_norm: 3.7469 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6536 loss: 1.6536 2022/08/08 23:52:57 - mmengine - INFO - Epoch(train) [22][220/1879] lr: 2.0000e-02 eta: 9:10:56 time: 0.5758 data_time: 0.0245 memory: 13723 grad_norm: 3.8657 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6998 loss: 1.6998 2022/08/08 23:53:08 - mmengine - INFO - Epoch(train) [22][240/1879] lr: 2.0000e-02 eta: 9:10:42 time: 0.5680 data_time: 0.0241 memory: 13723 grad_norm: 3.8524 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6175 loss: 1.6175 2022/08/08 23:53:20 - mmengine - INFO - Epoch(train) [22][260/1879] lr: 2.0000e-02 eta: 9:10:29 time: 0.5714 data_time: 0.0247 memory: 13723 grad_norm: 3.6919 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.5292 loss: 1.5292 2022/08/08 23:53:31 - mmengine - INFO - Epoch(train) [22][280/1879] lr: 2.0000e-02 eta: 9:10:16 time: 0.5831 data_time: 0.0245 memory: 13723 grad_norm: 3.8515 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5386 loss: 1.5386 2022/08/08 23:53:43 - mmengine - INFO - Epoch(train) [22][300/1879] lr: 2.0000e-02 eta: 9:10:04 time: 0.5849 data_time: 0.0273 memory: 13723 grad_norm: 3.7804 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4896 loss: 1.4896 2022/08/08 23:53:55 - mmengine - INFO - Epoch(train) [22][320/1879] lr: 2.0000e-02 eta: 9:09:51 time: 0.5800 data_time: 0.0262 memory: 13723 grad_norm: 3.7925 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4741 loss: 1.4741 2022/08/08 23:54:07 - mmengine - INFO - Epoch(train) [22][340/1879] lr: 2.0000e-02 eta: 9:09:38 time: 0.5954 data_time: 0.0227 memory: 13723 grad_norm: 3.8340 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6091 loss: 1.6091 2022/08/08 23:54:18 - mmengine - INFO - Epoch(train) [22][360/1879] lr: 2.0000e-02 eta: 9:09:25 time: 0.5773 data_time: 0.0248 memory: 13723 grad_norm: 3.7387 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3978 loss: 1.3978 2022/08/08 23:54:30 - mmengine - INFO - Epoch(train) [22][380/1879] lr: 2.0000e-02 eta: 9:09:12 time: 0.5747 data_time: 0.0221 memory: 13723 grad_norm: 3.7342 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4194 loss: 1.4194 2022/08/08 23:54:42 - mmengine - INFO - Epoch(train) [22][400/1879] lr: 2.0000e-02 eta: 9:08:59 time: 0.5981 data_time: 0.0260 memory: 13723 grad_norm: 3.7596 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.5942 loss: 1.5942 2022/08/08 23:54:53 - mmengine - INFO - Epoch(train) [22][420/1879] lr: 2.0000e-02 eta: 9:08:46 time: 0.5734 data_time: 0.0233 memory: 13723 grad_norm: 3.8680 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6098 loss: 1.6098 2022/08/08 23:55:05 - mmengine - INFO - Epoch(train) [22][440/1879] lr: 2.0000e-02 eta: 9:08:34 time: 0.6152 data_time: 0.0273 memory: 13723 grad_norm: 3.8381 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6908 loss: 1.6908 2022/08/08 23:55:22 - mmengine - INFO - Epoch(train) [22][460/1879] lr: 2.0000e-02 eta: 9:08:27 time: 0.8056 data_time: 0.0562 memory: 13723 grad_norm: 3.9667 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5955 loss: 1.5955 2022/08/08 23:55:33 - mmengine - INFO - Epoch(train) [22][480/1879] lr: 2.0000e-02 eta: 9:08:14 time: 0.5783 data_time: 0.0267 memory: 13723 grad_norm: 3.8073 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6086 loss: 1.6086 2022/08/08 23:55:45 - mmengine - INFO - Epoch(train) [22][500/1879] lr: 2.0000e-02 eta: 9:08:01 time: 0.5729 data_time: 0.0238 memory: 13723 grad_norm: 3.9063 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5150 loss: 1.5150 2022/08/08 23:55:56 - mmengine - INFO - Epoch(train) [22][520/1879] lr: 2.0000e-02 eta: 9:07:49 time: 0.5923 data_time: 0.0486 memory: 13723 grad_norm: 3.6490 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4274 loss: 1.4274 2022/08/08 23:56:08 - mmengine - INFO - Epoch(train) [22][540/1879] lr: 2.0000e-02 eta: 9:07:35 time: 0.5722 data_time: 0.0251 memory: 13723 grad_norm: 3.8990 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5222 loss: 1.5222 2022/08/08 23:56:09 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/08 23:56:20 - mmengine - INFO - Epoch(train) [22][560/1879] lr: 2.0000e-02 eta: 9:07:22 time: 0.5825 data_time: 0.0259 memory: 13723 grad_norm: 3.8702 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7852 loss: 1.7852 2022/08/08 23:56:31 - mmengine - INFO - Epoch(train) [22][580/1879] lr: 2.0000e-02 eta: 9:07:10 time: 0.5805 data_time: 0.0214 memory: 13723 grad_norm: 3.7737 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5666 loss: 1.5666 2022/08/08 23:56:43 - mmengine - INFO - Epoch(train) [22][600/1879] lr: 2.0000e-02 eta: 9:06:57 time: 0.5913 data_time: 0.0258 memory: 13723 grad_norm: 3.8280 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6586 loss: 1.6586 2022/08/08 23:56:55 - mmengine - INFO - Epoch(train) [22][620/1879] lr: 2.0000e-02 eta: 9:06:45 time: 0.6226 data_time: 0.0206 memory: 13723 grad_norm: 3.7673 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4983 loss: 1.4983 2022/08/08 23:57:07 - mmengine - INFO - Epoch(train) [22][640/1879] lr: 2.0000e-02 eta: 9:06:32 time: 0.5702 data_time: 0.0264 memory: 13723 grad_norm: 3.7023 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5257 loss: 1.5257 2022/08/08 23:57:18 - mmengine - INFO - Epoch(train) [22][660/1879] lr: 2.0000e-02 eta: 9:06:19 time: 0.5782 data_time: 0.0243 memory: 13723 grad_norm: 3.7155 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4095 loss: 1.4095 2022/08/08 23:57:30 - mmengine - INFO - Epoch(train) [22][680/1879] lr: 2.0000e-02 eta: 9:06:06 time: 0.5752 data_time: 0.0252 memory: 13723 grad_norm: 3.8788 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.4748 loss: 1.4748 2022/08/08 23:57:41 - mmengine - INFO - Epoch(train) [22][700/1879] lr: 2.0000e-02 eta: 9:05:53 time: 0.5768 data_time: 0.0296 memory: 13723 grad_norm: 3.7256 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5788 loss: 1.5788 2022/08/08 23:57:53 - mmengine - INFO - Epoch(train) [22][720/1879] lr: 2.0000e-02 eta: 9:05:40 time: 0.5742 data_time: 0.0247 memory: 13723 grad_norm: 3.7573 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6271 loss: 1.6271 2022/08/08 23:58:05 - mmengine - INFO - Epoch(train) [22][740/1879] lr: 2.0000e-02 eta: 9:05:27 time: 0.5904 data_time: 0.0252 memory: 13723 grad_norm: 3.7798 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5441 loss: 1.5441 2022/08/08 23:58:17 - mmengine - INFO - Epoch(train) [22][760/1879] lr: 2.0000e-02 eta: 9:05:15 time: 0.6096 data_time: 0.0266 memory: 13723 grad_norm: 3.8350 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5430 loss: 1.5430 2022/08/08 23:58:28 - mmengine - INFO - Epoch(train) [22][780/1879] lr: 2.0000e-02 eta: 9:05:02 time: 0.5737 data_time: 0.0234 memory: 13723 grad_norm: 3.8238 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6462 loss: 1.6462 2022/08/08 23:58:40 - mmengine - INFO - Epoch(train) [22][800/1879] lr: 2.0000e-02 eta: 9:04:49 time: 0.5862 data_time: 0.0255 memory: 13723 grad_norm: 3.8123 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6140 loss: 1.6140 2022/08/08 23:58:52 - mmengine - INFO - Epoch(train) [22][820/1879] lr: 2.0000e-02 eta: 9:04:36 time: 0.5788 data_time: 0.0240 memory: 13723 grad_norm: 3.7163 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5272 loss: 1.5272 2022/08/08 23:59:04 - mmengine - INFO - Epoch(train) [22][840/1879] lr: 2.0000e-02 eta: 9:04:24 time: 0.6025 data_time: 0.0255 memory: 13723 grad_norm: 3.8618 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4553 loss: 1.4553 2022/08/08 23:59:16 - mmengine - INFO - Epoch(train) [22][860/1879] lr: 2.0000e-02 eta: 9:04:11 time: 0.5830 data_time: 0.0255 memory: 13723 grad_norm: 3.6474 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.6532 loss: 1.6532 2022/08/08 23:59:27 - mmengine - INFO - Epoch(train) [22][880/1879] lr: 2.0000e-02 eta: 9:03:58 time: 0.5759 data_time: 0.0242 memory: 13723 grad_norm: 3.7399 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5009 loss: 1.5009 2022/08/08 23:59:39 - mmengine - INFO - Epoch(train) [22][900/1879] lr: 2.0000e-02 eta: 9:03:45 time: 0.5787 data_time: 0.0243 memory: 13723 grad_norm: 3.8408 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5200 loss: 1.5200 2022/08/08 23:59:50 - mmengine - INFO - Epoch(train) [22][920/1879] lr: 2.0000e-02 eta: 9:03:32 time: 0.5864 data_time: 0.0402 memory: 13723 grad_norm: 3.9377 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6174 loss: 1.6174 2022/08/09 00:00:03 - mmengine - INFO - Epoch(train) [22][940/1879] lr: 2.0000e-02 eta: 9:03:20 time: 0.6340 data_time: 0.0245 memory: 13723 grad_norm: 3.7979 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7048 loss: 1.7048 2022/08/09 00:00:16 - mmengine - INFO - Epoch(train) [22][960/1879] lr: 2.0000e-02 eta: 9:03:09 time: 0.6471 data_time: 0.0388 memory: 13723 grad_norm: 3.8369 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8010 loss: 1.8010 2022/08/09 00:00:28 - mmengine - INFO - Epoch(train) [22][980/1879] lr: 2.0000e-02 eta: 9:02:56 time: 0.5812 data_time: 0.0234 memory: 13723 grad_norm: 3.6375 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4770 loss: 1.4770 2022/08/09 00:00:40 - mmengine - INFO - Epoch(train) [22][1000/1879] lr: 2.0000e-02 eta: 9:02:44 time: 0.5988 data_time: 0.0262 memory: 13723 grad_norm: 3.7547 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4463 loss: 1.4463 2022/08/09 00:00:51 - mmengine - INFO - Epoch(train) [22][1020/1879] lr: 2.0000e-02 eta: 9:02:31 time: 0.5846 data_time: 0.0225 memory: 13723 grad_norm: 3.7888 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7219 loss: 1.7219 2022/08/09 00:01:03 - mmengine - INFO - Epoch(train) [22][1040/1879] lr: 2.0000e-02 eta: 9:02:18 time: 0.5819 data_time: 0.0251 memory: 13723 grad_norm: 3.7307 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4617 loss: 1.4617 2022/08/09 00:01:14 - mmengine - INFO - Epoch(train) [22][1060/1879] lr: 2.0000e-02 eta: 9:02:05 time: 0.5709 data_time: 0.0245 memory: 13723 grad_norm: 3.8694 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3284 loss: 1.3284 2022/08/09 00:01:26 - mmengine - INFO - Epoch(train) [22][1080/1879] lr: 2.0000e-02 eta: 9:01:52 time: 0.5848 data_time: 0.0255 memory: 13723 grad_norm: 3.8302 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5592 loss: 1.5592 2022/08/09 00:01:38 - mmengine - INFO - Epoch(train) [22][1100/1879] lr: 2.0000e-02 eta: 9:01:39 time: 0.5760 data_time: 0.0236 memory: 13723 grad_norm: 3.8289 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4971 loss: 1.4971 2022/08/09 00:01:49 - mmengine - INFO - Epoch(train) [22][1120/1879] lr: 2.0000e-02 eta: 9:01:26 time: 0.5726 data_time: 0.0255 memory: 13723 grad_norm: 3.7529 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5502 loss: 1.5502 2022/08/09 00:02:01 - mmengine - INFO - Epoch(train) [22][1140/1879] lr: 2.0000e-02 eta: 9:01:13 time: 0.5786 data_time: 0.0249 memory: 13723 grad_norm: 3.7551 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2990 loss: 1.2990 2022/08/09 00:02:12 - mmengine - INFO - Epoch(train) [22][1160/1879] lr: 2.0000e-02 eta: 9:01:00 time: 0.5790 data_time: 0.0233 memory: 13723 grad_norm: 3.8459 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4040 loss: 1.4040 2022/08/09 00:02:24 - mmengine - INFO - Epoch(train) [22][1180/1879] lr: 2.0000e-02 eta: 9:00:47 time: 0.5685 data_time: 0.0257 memory: 13723 grad_norm: 3.7484 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6364 loss: 1.6364 2022/08/09 00:02:35 - mmengine - INFO - Epoch(train) [22][1200/1879] lr: 2.0000e-02 eta: 9:00:34 time: 0.5694 data_time: 0.0241 memory: 13723 grad_norm: 3.7850 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6897 loss: 1.6897 2022/08/09 00:02:46 - mmengine - INFO - Epoch(train) [22][1220/1879] lr: 2.0000e-02 eta: 9:00:20 time: 0.5681 data_time: 0.0254 memory: 13723 grad_norm: 3.7848 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5812 loss: 1.5812 2022/08/09 00:02:58 - mmengine - INFO - Epoch(train) [22][1240/1879] lr: 2.0000e-02 eta: 9:00:07 time: 0.5761 data_time: 0.0258 memory: 13723 grad_norm: 3.8934 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.3896 loss: 1.3896 2022/08/09 00:03:09 - mmengine - INFO - Epoch(train) [22][1260/1879] lr: 2.0000e-02 eta: 8:59:54 time: 0.5693 data_time: 0.0233 memory: 13723 grad_norm: 3.8537 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5590 loss: 1.5590 2022/08/09 00:03:21 - mmengine - INFO - Epoch(train) [22][1280/1879] lr: 2.0000e-02 eta: 8:59:41 time: 0.5787 data_time: 0.0247 memory: 13723 grad_norm: 3.7943 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7434 loss: 1.7434 2022/08/09 00:03:32 - mmengine - INFO - Epoch(train) [22][1300/1879] lr: 2.0000e-02 eta: 8:59:28 time: 0.5794 data_time: 0.0232 memory: 13723 grad_norm: 3.8616 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5580 loss: 1.5580 2022/08/09 00:03:44 - mmengine - INFO - Epoch(train) [22][1320/1879] lr: 2.0000e-02 eta: 8:59:16 time: 0.5816 data_time: 0.0239 memory: 13723 grad_norm: 3.6822 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5725 loss: 1.5725 2022/08/09 00:03:56 - mmengine - INFO - Epoch(train) [22][1340/1879] lr: 2.0000e-02 eta: 8:59:03 time: 0.5775 data_time: 0.0284 memory: 13723 grad_norm: 3.9267 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6246 loss: 1.6246 2022/08/09 00:04:07 - mmengine - INFO - Epoch(train) [22][1360/1879] lr: 2.0000e-02 eta: 8:58:50 time: 0.5761 data_time: 0.0237 memory: 13723 grad_norm: 3.7832 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5794 loss: 1.5794 2022/08/09 00:04:19 - mmengine - INFO - Epoch(train) [22][1380/1879] lr: 2.0000e-02 eta: 8:58:36 time: 0.5761 data_time: 0.0247 memory: 13723 grad_norm: 3.7203 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4583 loss: 1.4583 2022/08/09 00:04:30 - mmengine - INFO - Epoch(train) [22][1400/1879] lr: 2.0000e-02 eta: 8:58:23 time: 0.5691 data_time: 0.0254 memory: 13723 grad_norm: 3.6426 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5809 loss: 1.5809 2022/08/09 00:04:42 - mmengine - INFO - Epoch(train) [22][1420/1879] lr: 2.0000e-02 eta: 8:58:10 time: 0.5810 data_time: 0.0224 memory: 13723 grad_norm: 3.7762 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4683 loss: 1.4683 2022/08/09 00:04:53 - mmengine - INFO - Epoch(train) [22][1440/1879] lr: 2.0000e-02 eta: 8:57:57 time: 0.5769 data_time: 0.0261 memory: 13723 grad_norm: 3.8292 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5244 loss: 1.5244 2022/08/09 00:05:05 - mmengine - INFO - Epoch(train) [22][1460/1879] lr: 2.0000e-02 eta: 8:57:45 time: 0.5831 data_time: 0.0245 memory: 13723 grad_norm: 3.7795 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6440 loss: 1.6440 2022/08/09 00:05:18 - mmengine - INFO - Epoch(train) [22][1480/1879] lr: 2.0000e-02 eta: 8:57:33 time: 0.6475 data_time: 0.1013 memory: 13723 grad_norm: 3.7102 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6658 loss: 1.6658 2022/08/09 00:05:29 - mmengine - INFO - Epoch(train) [22][1500/1879] lr: 2.0000e-02 eta: 8:57:20 time: 0.5720 data_time: 0.0262 memory: 13723 grad_norm: 3.9203 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8697 loss: 1.8697 2022/08/09 00:05:41 - mmengine - INFO - Epoch(train) [22][1520/1879] lr: 2.0000e-02 eta: 8:57:07 time: 0.5708 data_time: 0.0279 memory: 13723 grad_norm: 3.9248 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5287 loss: 1.5287 2022/08/09 00:05:52 - mmengine - INFO - Epoch(train) [22][1540/1879] lr: 2.0000e-02 eta: 8:56:54 time: 0.5803 data_time: 0.0239 memory: 13723 grad_norm: 3.7424 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5903 loss: 1.5903 2022/08/09 00:05:53 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 00:06:04 - mmengine - INFO - Epoch(train) [22][1560/1879] lr: 2.0000e-02 eta: 8:56:41 time: 0.5772 data_time: 0.0233 memory: 13723 grad_norm: 3.8021 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6423 loss: 1.6423 2022/08/09 00:06:16 - mmengine - INFO - Epoch(train) [22][1580/1879] lr: 2.0000e-02 eta: 8:56:29 time: 0.5966 data_time: 0.0237 memory: 13723 grad_norm: 3.8181 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5643 loss: 1.5643 2022/08/09 00:06:27 - mmengine - INFO - Epoch(train) [22][1600/1879] lr: 2.0000e-02 eta: 8:56:16 time: 0.5761 data_time: 0.0276 memory: 13723 grad_norm: 3.8069 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5349 loss: 1.5349 2022/08/09 00:06:39 - mmengine - INFO - Epoch(train) [22][1620/1879] lr: 2.0000e-02 eta: 8:56:03 time: 0.5707 data_time: 0.0235 memory: 13723 grad_norm: 3.7972 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7207 loss: 1.7207 2022/08/09 00:06:50 - mmengine - INFO - Epoch(train) [22][1640/1879] lr: 2.0000e-02 eta: 8:55:50 time: 0.5737 data_time: 0.0257 memory: 13723 grad_norm: 3.8030 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8397 loss: 1.8397 2022/08/09 00:07:02 - mmengine - INFO - Epoch(train) [22][1660/1879] lr: 2.0000e-02 eta: 8:55:37 time: 0.5711 data_time: 0.0275 memory: 13723 grad_norm: 3.7338 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7273 loss: 1.7273 2022/08/09 00:07:13 - mmengine - INFO - Epoch(train) [22][1680/1879] lr: 2.0000e-02 eta: 8:55:23 time: 0.5720 data_time: 0.0317 memory: 13723 grad_norm: 3.8434 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2909 loss: 1.2909 2022/08/09 00:07:25 - mmengine - INFO - Epoch(train) [22][1700/1879] lr: 2.0000e-02 eta: 8:55:10 time: 0.5748 data_time: 0.0251 memory: 13723 grad_norm: 3.8585 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6056 loss: 1.6056 2022/08/09 00:07:36 - mmengine - INFO - Epoch(train) [22][1720/1879] lr: 2.0000e-02 eta: 8:54:57 time: 0.5782 data_time: 0.0266 memory: 13723 grad_norm: 3.8663 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4574 loss: 1.4574 2022/08/09 00:07:48 - mmengine - INFO - Epoch(train) [22][1740/1879] lr: 2.0000e-02 eta: 8:54:45 time: 0.5840 data_time: 0.0239 memory: 13723 grad_norm: 3.8110 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8426 loss: 1.8426 2022/08/09 00:08:00 - mmengine - INFO - Epoch(train) [22][1760/1879] lr: 2.0000e-02 eta: 8:54:32 time: 0.5823 data_time: 0.0249 memory: 13723 grad_norm: 3.7320 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5119 loss: 1.5119 2022/08/09 00:08:11 - mmengine - INFO - Epoch(train) [22][1780/1879] lr: 2.0000e-02 eta: 8:54:19 time: 0.5799 data_time: 0.0244 memory: 13723 grad_norm: 3.7374 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5590 loss: 1.5590 2022/08/09 00:08:23 - mmengine - INFO - Epoch(train) [22][1800/1879] lr: 2.0000e-02 eta: 8:54:06 time: 0.5820 data_time: 0.0279 memory: 13723 grad_norm: 3.6680 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3726 loss: 1.3726 2022/08/09 00:08:34 - mmengine - INFO - Epoch(train) [22][1820/1879] lr: 2.0000e-02 eta: 8:53:53 time: 0.5782 data_time: 0.0255 memory: 13723 grad_norm: 3.9143 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7868 loss: 1.7868 2022/08/09 00:08:47 - mmengine - INFO - Epoch(train) [22][1840/1879] lr: 2.0000e-02 eta: 8:53:42 time: 0.6305 data_time: 0.0234 memory: 13723 grad_norm: 3.7209 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5207 loss: 1.5207 2022/08/09 00:08:58 - mmengine - INFO - Epoch(train) [22][1860/1879] lr: 2.0000e-02 eta: 8:53:29 time: 0.5713 data_time: 0.0251 memory: 13723 grad_norm: 3.7236 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5476 loss: 1.5476 2022/08/09 00:09:09 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 00:09:09 - mmengine - INFO - Epoch(train) [22][1879/1879] lr: 2.0000e-02 eta: 8:53:29 time: 0.5369 data_time: 0.0183 memory: 13723 grad_norm: 3.8117 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.5517 loss: 1.5517 2022/08/09 00:09:25 - mmengine - INFO - Epoch(val) [22][20/155] eta: 0:01:30 time: 0.6703 data_time: 0.5299 memory: 1829 2022/08/09 00:09:34 - mmengine - INFO - Epoch(val) [22][40/155] eta: 0:00:53 time: 0.4682 data_time: 0.3293 memory: 1829 2022/08/09 00:09:48 - mmengine - INFO - Epoch(val) [22][60/155] eta: 0:01:02 time: 0.6627 data_time: 0.5240 memory: 1829 2022/08/09 00:09:58 - mmengine - INFO - Epoch(val) [22][80/155] eta: 0:00:37 time: 0.5043 data_time: 0.3647 memory: 1829 2022/08/09 00:10:14 - mmengine - INFO - Epoch(val) [22][100/155] eta: 0:00:45 time: 0.8249 data_time: 0.6872 memory: 1829 2022/08/09 00:10:25 - mmengine - INFO - Epoch(val) [22][120/155] eta: 0:00:18 time: 0.5254 data_time: 0.3887 memory: 1829 2022/08/09 00:10:37 - mmengine - INFO - Epoch(val) [22][140/155] eta: 0:00:09 time: 0.6128 data_time: 0.4753 memory: 1829 2022/08/09 00:10:45 - mmengine - INFO - Epoch(val) [22][155/155] acc/top1: 0.6125 acc/top5: 0.8407 acc/mean1: 0.6124 2022/08/09 00:11:03 - mmengine - INFO - Epoch(train) [23][20/1879] lr: 2.0000e-02 eta: 8:52:58 time: 0.9349 data_time: 0.2186 memory: 13723 grad_norm: 3.7148 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5636 loss: 1.5636 2022/08/09 00:11:15 - mmengine - INFO - Epoch(train) [23][40/1879] lr: 2.0000e-02 eta: 8:52:46 time: 0.5861 data_time: 0.0273 memory: 13723 grad_norm: 3.7527 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4406 loss: 1.4406 2022/08/09 00:11:29 - mmengine - INFO - Epoch(train) [23][60/1879] lr: 2.0000e-02 eta: 8:52:35 time: 0.6791 data_time: 0.0220 memory: 13723 grad_norm: 3.8188 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6107 loss: 1.6107 2022/08/09 00:11:40 - mmengine - INFO - Epoch(train) [23][80/1879] lr: 2.0000e-02 eta: 8:52:22 time: 0.5759 data_time: 0.0234 memory: 13723 grad_norm: 3.8062 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6164 loss: 1.6164 2022/08/09 00:11:52 - mmengine - INFO - Epoch(train) [23][100/1879] lr: 2.0000e-02 eta: 8:52:09 time: 0.5670 data_time: 0.0223 memory: 13723 grad_norm: 3.7869 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5654 loss: 1.5654 2022/08/09 00:12:03 - mmengine - INFO - Epoch(train) [23][120/1879] lr: 2.0000e-02 eta: 8:51:56 time: 0.5758 data_time: 0.0255 memory: 13723 grad_norm: 3.6832 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5197 loss: 1.5197 2022/08/09 00:12:15 - mmengine - INFO - Epoch(train) [23][140/1879] lr: 2.0000e-02 eta: 8:51:44 time: 0.6180 data_time: 0.0240 memory: 13723 grad_norm: 3.7837 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5169 loss: 1.5169 2022/08/09 00:12:28 - mmengine - INFO - Epoch(train) [23][160/1879] lr: 2.0000e-02 eta: 8:51:32 time: 0.6068 data_time: 0.0229 memory: 13723 grad_norm: 3.7223 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4696 loss: 1.4696 2022/08/09 00:12:39 - mmengine - INFO - Epoch(train) [23][180/1879] lr: 2.0000e-02 eta: 8:51:20 time: 0.5939 data_time: 0.0244 memory: 13723 grad_norm: 3.7270 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5485 loss: 1.5485 2022/08/09 00:12:51 - mmengine - INFO - Epoch(train) [23][200/1879] lr: 2.0000e-02 eta: 8:51:07 time: 0.5727 data_time: 0.0238 memory: 13723 grad_norm: 3.8146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3215 loss: 1.3215 2022/08/09 00:13:02 - mmengine - INFO - Epoch(train) [23][220/1879] lr: 2.0000e-02 eta: 8:50:54 time: 0.5761 data_time: 0.0258 memory: 13723 grad_norm: 3.9905 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5076 loss: 1.5076 2022/08/09 00:13:14 - mmengine - INFO - Epoch(train) [23][240/1879] lr: 2.0000e-02 eta: 8:50:41 time: 0.5830 data_time: 0.0235 memory: 13723 grad_norm: 3.8506 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4603 loss: 1.4603 2022/08/09 00:13:27 - mmengine - INFO - Epoch(train) [23][260/1879] lr: 2.0000e-02 eta: 8:50:29 time: 0.6251 data_time: 0.0230 memory: 13723 grad_norm: 3.7512 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2839 loss: 1.2839 2022/08/09 00:13:38 - mmengine - INFO - Epoch(train) [23][280/1879] lr: 2.0000e-02 eta: 8:50:16 time: 0.5797 data_time: 0.0264 memory: 13723 grad_norm: 3.8000 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4383 loss: 1.4383 2022/08/09 00:13:50 - mmengine - INFO - Epoch(train) [23][300/1879] lr: 2.0000e-02 eta: 8:50:03 time: 0.5776 data_time: 0.0230 memory: 13723 grad_norm: 3.7750 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5639 loss: 1.5639 2022/08/09 00:14:01 - mmengine - INFO - Epoch(train) [23][320/1879] lr: 2.0000e-02 eta: 8:49:50 time: 0.5838 data_time: 0.0257 memory: 13723 grad_norm: 3.8286 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5230 loss: 1.5230 2022/08/09 00:14:13 - mmengine - INFO - Epoch(train) [23][340/1879] lr: 2.0000e-02 eta: 8:49:38 time: 0.5890 data_time: 0.0262 memory: 13723 grad_norm: 3.9177 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5610 loss: 1.5610 2022/08/09 00:14:25 - mmengine - INFO - Epoch(train) [23][360/1879] lr: 2.0000e-02 eta: 8:49:25 time: 0.5949 data_time: 0.0354 memory: 13723 grad_norm: 3.7317 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4579 loss: 1.4579 2022/08/09 00:14:37 - mmengine - INFO - Epoch(train) [23][380/1879] lr: 2.0000e-02 eta: 8:49:13 time: 0.5835 data_time: 0.0280 memory: 13723 grad_norm: 3.8472 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5277 loss: 1.5277 2022/08/09 00:14:48 - mmengine - INFO - Epoch(train) [23][400/1879] lr: 2.0000e-02 eta: 8:49:00 time: 0.5776 data_time: 0.0243 memory: 13723 grad_norm: 3.9148 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5328 loss: 1.5328 2022/08/09 00:15:00 - mmengine - INFO - Epoch(train) [23][420/1879] lr: 2.0000e-02 eta: 8:48:47 time: 0.5796 data_time: 0.0226 memory: 13723 grad_norm: 3.7321 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.3754 loss: 1.3754 2022/08/09 00:15:15 - mmengine - INFO - Epoch(train) [23][440/1879] lr: 2.0000e-02 eta: 8:48:38 time: 0.7507 data_time: 0.0230 memory: 13723 grad_norm: 3.8685 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7087 loss: 1.7087 2022/08/09 00:15:27 - mmengine - INFO - Epoch(train) [23][460/1879] lr: 2.0000e-02 eta: 8:48:25 time: 0.5757 data_time: 0.0234 memory: 13723 grad_norm: 3.7840 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6377 loss: 1.6377 2022/08/09 00:15:38 - mmengine - INFO - Epoch(train) [23][480/1879] lr: 2.0000e-02 eta: 8:48:13 time: 0.5950 data_time: 0.0260 memory: 13723 grad_norm: 3.6741 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5898 loss: 1.5898 2022/08/09 00:15:50 - mmengine - INFO - Epoch(train) [23][500/1879] lr: 2.0000e-02 eta: 8:48:00 time: 0.5920 data_time: 0.0223 memory: 13723 grad_norm: 3.8499 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3691 loss: 1.3691 2022/08/09 00:16:02 - mmengine - INFO - Epoch(train) [23][520/1879] lr: 2.0000e-02 eta: 8:47:48 time: 0.6083 data_time: 0.0234 memory: 13723 grad_norm: 3.8478 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4817 loss: 1.4817 2022/08/09 00:16:14 - mmengine - INFO - Epoch(train) [23][540/1879] lr: 2.0000e-02 eta: 8:47:35 time: 0.5733 data_time: 0.0238 memory: 13723 grad_norm: 3.8637 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4944 loss: 1.4944 2022/08/09 00:16:25 - mmengine - INFO - Epoch(train) [23][560/1879] lr: 2.0000e-02 eta: 8:47:22 time: 0.5752 data_time: 0.0255 memory: 13723 grad_norm: 3.7766 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3932 loss: 1.3932 2022/08/09 00:16:37 - mmengine - INFO - Epoch(train) [23][580/1879] lr: 2.0000e-02 eta: 8:47:09 time: 0.5910 data_time: 0.0239 memory: 13723 grad_norm: 3.7865 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.6383 loss: 1.6383 2022/08/09 00:16:49 - mmengine - INFO - Epoch(train) [23][600/1879] lr: 2.0000e-02 eta: 8:46:57 time: 0.5825 data_time: 0.0240 memory: 13723 grad_norm: 3.7620 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4171 loss: 1.4171 2022/08/09 00:17:02 - mmengine - INFO - Epoch(train) [23][620/1879] lr: 2.0000e-02 eta: 8:46:45 time: 0.6340 data_time: 0.0212 memory: 13723 grad_norm: 4.0043 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5815 loss: 1.5815 2022/08/09 00:17:13 - mmengine - INFO - Epoch(train) [23][640/1879] lr: 2.0000e-02 eta: 8:46:32 time: 0.5721 data_time: 0.0246 memory: 13723 grad_norm: 3.9362 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4948 loss: 1.4948 2022/08/09 00:17:25 - mmengine - INFO - Epoch(train) [23][660/1879] lr: 2.0000e-02 eta: 8:46:19 time: 0.5737 data_time: 0.0232 memory: 13723 grad_norm: 3.8929 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4999 loss: 1.4999 2022/08/09 00:17:26 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 00:17:36 - mmengine - INFO - Epoch(train) [23][680/1879] lr: 2.0000e-02 eta: 8:46:07 time: 0.5970 data_time: 0.0427 memory: 13723 grad_norm: 3.7651 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6069 loss: 1.6069 2022/08/09 00:17:48 - mmengine - INFO - Epoch(train) [23][700/1879] lr: 2.0000e-02 eta: 8:45:54 time: 0.5847 data_time: 0.0253 memory: 13723 grad_norm: 3.8012 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4607 loss: 1.4607 2022/08/09 00:18:00 - mmengine - INFO - Epoch(train) [23][720/1879] lr: 2.0000e-02 eta: 8:45:41 time: 0.5833 data_time: 0.0247 memory: 13723 grad_norm: 3.8666 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5919 loss: 1.5919 2022/08/09 00:18:13 - mmengine - INFO - Epoch(train) [23][740/1879] lr: 2.0000e-02 eta: 8:45:30 time: 0.6652 data_time: 0.0249 memory: 13723 grad_norm: 3.7934 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7100 loss: 1.7100 2022/08/09 00:18:25 - mmengine - INFO - Epoch(train) [23][760/1879] lr: 2.0000e-02 eta: 8:45:17 time: 0.5679 data_time: 0.0225 memory: 13723 grad_norm: 3.7949 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6583 loss: 1.6583 2022/08/09 00:18:36 - mmengine - INFO - Epoch(train) [23][780/1879] lr: 2.0000e-02 eta: 8:45:04 time: 0.5737 data_time: 0.0249 memory: 13723 grad_norm: 3.7563 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5208 loss: 1.5208 2022/08/09 00:18:48 - mmengine - INFO - Epoch(train) [23][800/1879] lr: 2.0000e-02 eta: 8:44:52 time: 0.5853 data_time: 0.0271 memory: 13723 grad_norm: 3.8151 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5676 loss: 1.5676 2022/08/09 00:19:00 - mmengine - INFO - Epoch(train) [23][820/1879] lr: 2.0000e-02 eta: 8:44:39 time: 0.6040 data_time: 0.0236 memory: 13723 grad_norm: 3.7742 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6226 loss: 1.6226 2022/08/09 00:19:12 - mmengine - INFO - Epoch(train) [23][840/1879] lr: 2.0000e-02 eta: 8:44:27 time: 0.5948 data_time: 0.0225 memory: 13723 grad_norm: 3.8515 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5661 loss: 1.5661 2022/08/09 00:19:23 - mmengine - INFO - Epoch(train) [23][860/1879] lr: 2.0000e-02 eta: 8:44:14 time: 0.5830 data_time: 0.0239 memory: 13723 grad_norm: 3.7796 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3790 loss: 1.3790 2022/08/09 00:19:37 - mmengine - INFO - Epoch(train) [23][880/1879] lr: 2.0000e-02 eta: 8:44:03 time: 0.6642 data_time: 0.0225 memory: 13723 grad_norm: 3.7446 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3696 loss: 1.3696 2022/08/09 00:19:48 - mmengine - INFO - Epoch(train) [23][900/1879] lr: 2.0000e-02 eta: 8:43:51 time: 0.5781 data_time: 0.0244 memory: 13723 grad_norm: 3.8481 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7411 loss: 1.7411 2022/08/09 00:20:03 - mmengine - INFO - Epoch(train) [23][920/1879] lr: 2.0000e-02 eta: 8:43:41 time: 0.7276 data_time: 0.0221 memory: 13723 grad_norm: 3.7884 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4466 loss: 1.4466 2022/08/09 00:20:15 - mmengine - INFO - Epoch(train) [23][940/1879] lr: 2.0000e-02 eta: 8:43:29 time: 0.5872 data_time: 0.0430 memory: 13723 grad_norm: 3.8569 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6836 loss: 1.6836 2022/08/09 00:20:29 - mmengine - INFO - Epoch(train) [23][960/1879] lr: 2.0000e-02 eta: 8:43:19 time: 0.7064 data_time: 0.0211 memory: 13723 grad_norm: 3.8262 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5511 loss: 1.5511 2022/08/09 00:20:41 - mmengine - INFO - Epoch(train) [23][980/1879] lr: 2.0000e-02 eta: 8:43:07 time: 0.6020 data_time: 0.0240 memory: 13723 grad_norm: 3.6255 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5221 loss: 1.5221 2022/08/09 00:20:52 - mmengine - INFO - Epoch(train) [23][1000/1879] lr: 2.0000e-02 eta: 8:42:54 time: 0.5748 data_time: 0.0241 memory: 13723 grad_norm: 3.8516 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6603 loss: 1.6603 2022/08/09 00:21:04 - mmengine - INFO - Epoch(train) [23][1020/1879] lr: 2.0000e-02 eta: 8:42:41 time: 0.5770 data_time: 0.0253 memory: 13723 grad_norm: 3.8093 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5399 loss: 1.5399 2022/08/09 00:21:16 - mmengine - INFO - Epoch(train) [23][1040/1879] lr: 2.0000e-02 eta: 8:42:28 time: 0.5906 data_time: 0.0265 memory: 13723 grad_norm: 3.8014 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5756 loss: 1.5756 2022/08/09 00:21:29 - mmengine - INFO - Epoch(train) [23][1060/1879] lr: 2.0000e-02 eta: 8:42:17 time: 0.6709 data_time: 0.0226 memory: 13723 grad_norm: 3.6403 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2976 loss: 1.2976 2022/08/09 00:21:40 - mmengine - INFO - Epoch(train) [23][1080/1879] lr: 2.0000e-02 eta: 8:42:04 time: 0.5723 data_time: 0.0256 memory: 13723 grad_norm: 3.9688 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5804 loss: 1.5804 2022/08/09 00:21:52 - mmengine - INFO - Epoch(train) [23][1100/1879] lr: 2.0000e-02 eta: 8:41:51 time: 0.5714 data_time: 0.0232 memory: 13723 grad_norm: 3.9035 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5407 loss: 1.5407 2022/08/09 00:22:04 - mmengine - INFO - Epoch(train) [23][1120/1879] lr: 2.0000e-02 eta: 8:41:39 time: 0.5796 data_time: 0.0282 memory: 13723 grad_norm: 3.8196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5714 loss: 1.5714 2022/08/09 00:22:15 - mmengine - INFO - Epoch(train) [23][1140/1879] lr: 2.0000e-02 eta: 8:41:26 time: 0.5859 data_time: 0.0251 memory: 13723 grad_norm: 3.7527 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4796 loss: 1.4796 2022/08/09 00:22:27 - mmengine - INFO - Epoch(train) [23][1160/1879] lr: 2.0000e-02 eta: 8:41:13 time: 0.5835 data_time: 0.0240 memory: 13723 grad_norm: 3.7729 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7064 loss: 1.7064 2022/08/09 00:22:39 - mmengine - INFO - Epoch(train) [23][1180/1879] lr: 2.0000e-02 eta: 8:41:00 time: 0.5864 data_time: 0.0235 memory: 13723 grad_norm: 3.9288 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.6711 loss: 1.6711 2022/08/09 00:22:50 - mmengine - INFO - Epoch(train) [23][1200/1879] lr: 2.0000e-02 eta: 8:40:48 time: 0.5841 data_time: 0.0236 memory: 13723 grad_norm: 3.8700 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7186 loss: 1.7186 2022/08/09 00:23:02 - mmengine - INFO - Epoch(train) [23][1220/1879] lr: 2.0000e-02 eta: 8:40:35 time: 0.5770 data_time: 0.0223 memory: 13723 grad_norm: 3.7569 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 1.7623 loss: 1.7623 2022/08/09 00:23:14 - mmengine - INFO - Epoch(train) [23][1240/1879] lr: 2.0000e-02 eta: 8:40:22 time: 0.5844 data_time: 0.0243 memory: 13723 grad_norm: 3.7291 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6204 loss: 1.6204 2022/08/09 00:23:27 - mmengine - INFO - Epoch(train) [23][1260/1879] lr: 2.0000e-02 eta: 8:40:12 time: 0.6717 data_time: 0.0220 memory: 13723 grad_norm: 3.7537 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4853 loss: 1.4853 2022/08/09 00:23:39 - mmengine - INFO - Epoch(train) [23][1280/1879] lr: 2.0000e-02 eta: 8:39:59 time: 0.5814 data_time: 0.0240 memory: 13723 grad_norm: 3.8525 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7465 loss: 1.7465 2022/08/09 00:23:50 - mmengine - INFO - Epoch(train) [23][1300/1879] lr: 2.0000e-02 eta: 8:39:46 time: 0.5730 data_time: 0.0248 memory: 13723 grad_norm: 3.7948 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5097 loss: 1.5097 2022/08/09 00:24:02 - mmengine - INFO - Epoch(train) [23][1320/1879] lr: 2.0000e-02 eta: 8:39:33 time: 0.5762 data_time: 0.0243 memory: 13723 grad_norm: 3.8674 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6543 loss: 1.6543 2022/08/09 00:24:13 - mmengine - INFO - Epoch(train) [23][1340/1879] lr: 2.0000e-02 eta: 8:39:20 time: 0.5819 data_time: 0.0239 memory: 13723 grad_norm: 3.7683 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4109 loss: 1.4109 2022/08/09 00:24:25 - mmengine - INFO - Epoch(train) [23][1360/1879] lr: 2.0000e-02 eta: 8:39:07 time: 0.5880 data_time: 0.0243 memory: 13723 grad_norm: 3.7283 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4659 loss: 1.4659 2022/08/09 00:24:38 - mmengine - INFO - Epoch(train) [23][1380/1879] lr: 2.0000e-02 eta: 8:38:56 time: 0.6252 data_time: 0.0247 memory: 13723 grad_norm: 3.7872 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6587 loss: 1.6587 2022/08/09 00:24:49 - mmengine - INFO - Epoch(train) [23][1400/1879] lr: 2.0000e-02 eta: 8:38:43 time: 0.5901 data_time: 0.0225 memory: 13723 grad_norm: 3.8695 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6596 loss: 1.6596 2022/08/09 00:25:01 - mmengine - INFO - Epoch(train) [23][1420/1879] lr: 2.0000e-02 eta: 8:38:30 time: 0.5822 data_time: 0.0271 memory: 13723 grad_norm: 3.7632 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5183 loss: 1.5183 2022/08/09 00:25:13 - mmengine - INFO - Epoch(train) [23][1440/1879] lr: 2.0000e-02 eta: 8:38:18 time: 0.5803 data_time: 0.0278 memory: 13723 grad_norm: 3.8524 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6503 loss: 1.6503 2022/08/09 00:25:26 - mmengine - INFO - Epoch(train) [23][1460/1879] lr: 2.0000e-02 eta: 8:38:07 time: 0.6671 data_time: 0.0233 memory: 13723 grad_norm: 3.8266 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5990 loss: 1.5990 2022/08/09 00:25:39 - mmengine - INFO - Epoch(train) [23][1480/1879] lr: 2.0000e-02 eta: 8:37:55 time: 0.6381 data_time: 0.0686 memory: 13723 grad_norm: 3.6914 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4763 loss: 1.4763 2022/08/09 00:25:50 - mmengine - INFO - Epoch(train) [23][1500/1879] lr: 2.0000e-02 eta: 8:37:42 time: 0.5748 data_time: 0.0228 memory: 13723 grad_norm: 3.7313 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7193 loss: 1.7193 2022/08/09 00:26:02 - mmengine - INFO - Epoch(train) [23][1520/1879] lr: 2.0000e-02 eta: 8:37:30 time: 0.6051 data_time: 0.0398 memory: 13723 grad_norm: 3.7021 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6996 loss: 1.6996 2022/08/09 00:26:14 - mmengine - INFO - Epoch(train) [23][1540/1879] lr: 2.0000e-02 eta: 8:37:17 time: 0.5791 data_time: 0.0251 memory: 13723 grad_norm: 3.7092 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4736 loss: 1.4736 2022/08/09 00:26:25 - mmengine - INFO - Epoch(train) [23][1560/1879] lr: 2.0000e-02 eta: 8:37:04 time: 0.5708 data_time: 0.0254 memory: 13723 grad_norm: 3.7332 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5852 loss: 1.5852 2022/08/09 00:26:38 - mmengine - INFO - Epoch(train) [23][1580/1879] lr: 2.0000e-02 eta: 8:36:52 time: 0.6081 data_time: 0.0222 memory: 13723 grad_norm: 3.8714 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5369 loss: 1.5369 2022/08/09 00:26:49 - mmengine - INFO - Epoch(train) [23][1600/1879] lr: 2.0000e-02 eta: 8:36:39 time: 0.5739 data_time: 0.0225 memory: 13723 grad_norm: 3.8591 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4651 loss: 1.4651 2022/08/09 00:27:01 - mmengine - INFO - Epoch(train) [23][1620/1879] lr: 2.0000e-02 eta: 8:36:26 time: 0.5801 data_time: 0.0237 memory: 13723 grad_norm: 3.8257 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4754 loss: 1.4754 2022/08/09 00:27:13 - mmengine - INFO - Epoch(train) [23][1640/1879] lr: 2.0000e-02 eta: 8:36:14 time: 0.5914 data_time: 0.0242 memory: 13723 grad_norm: 3.7309 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5380 loss: 1.5380 2022/08/09 00:27:24 - mmengine - INFO - Epoch(train) [23][1660/1879] lr: 2.0000e-02 eta: 8:36:01 time: 0.5817 data_time: 0.0289 memory: 13723 grad_norm: 3.8456 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4664 loss: 1.4664 2022/08/09 00:27:25 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 00:27:37 - mmengine - INFO - Epoch(train) [23][1680/1879] lr: 2.0000e-02 eta: 8:35:49 time: 0.6199 data_time: 0.0222 memory: 13723 grad_norm: 3.8826 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6703 loss: 1.6703 2022/08/09 00:27:48 - mmengine - INFO - Epoch(train) [23][1700/1879] lr: 2.0000e-02 eta: 8:35:37 time: 0.5880 data_time: 0.0231 memory: 13723 grad_norm: 3.7808 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6045 loss: 1.6045 2022/08/09 00:28:00 - mmengine - INFO - Epoch(train) [23][1720/1879] lr: 2.0000e-02 eta: 8:35:24 time: 0.5934 data_time: 0.0229 memory: 13723 grad_norm: 3.7782 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5685 loss: 1.5685 2022/08/09 00:28:12 - mmengine - INFO - Epoch(train) [23][1740/1879] lr: 2.0000e-02 eta: 8:35:12 time: 0.5882 data_time: 0.0231 memory: 13723 grad_norm: 3.7212 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5828 loss: 1.5828 2022/08/09 00:28:26 - mmengine - INFO - Epoch(train) [23][1760/1879] lr: 2.0000e-02 eta: 8:35:01 time: 0.6818 data_time: 0.0211 memory: 13723 grad_norm: 3.7518 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6367 loss: 1.6367 2022/08/09 00:28:37 - mmengine - INFO - Epoch(train) [23][1780/1879] lr: 2.0000e-02 eta: 8:34:48 time: 0.5731 data_time: 0.0228 memory: 13723 grad_norm: 3.7041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5966 loss: 1.5966 2022/08/09 00:28:49 - mmengine - INFO - Epoch(train) [23][1800/1879] lr: 2.0000e-02 eta: 8:34:35 time: 0.5816 data_time: 0.0249 memory: 13723 grad_norm: 3.7544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5739 loss: 1.5739 2022/08/09 00:29:00 - mmengine - INFO - Epoch(train) [23][1820/1879] lr: 2.0000e-02 eta: 8:34:23 time: 0.5813 data_time: 0.0238 memory: 13723 grad_norm: 3.7972 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6130 loss: 1.6130 2022/08/09 00:29:12 - mmengine - INFO - Epoch(train) [23][1840/1879] lr: 2.0000e-02 eta: 8:34:10 time: 0.5816 data_time: 0.0223 memory: 13723 grad_norm: 3.7149 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5221 loss: 1.5221 2022/08/09 00:29:24 - mmengine - INFO - Epoch(train) [23][1860/1879] lr: 2.0000e-02 eta: 8:33:57 time: 0.5895 data_time: 0.0250 memory: 13723 grad_norm: 3.8362 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5630 loss: 1.5630 2022/08/09 00:29:34 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 00:29:34 - mmengine - INFO - Epoch(train) [23][1879/1879] lr: 2.0000e-02 eta: 8:33:57 time: 0.5333 data_time: 0.0160 memory: 13723 grad_norm: 3.8258 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.6034 loss: 1.6034 2022/08/09 00:29:47 - mmengine - INFO - Epoch(val) [23][20/155] eta: 0:01:30 time: 0.6696 data_time: 0.5296 memory: 1829 2022/08/09 00:29:56 - mmengine - INFO - Epoch(val) [23][40/155] eta: 0:00:47 time: 0.4102 data_time: 0.2714 memory: 1829 2022/08/09 00:30:12 - mmengine - INFO - Epoch(val) [23][60/155] eta: 0:01:17 time: 0.8116 data_time: 0.6734 memory: 1829 2022/08/09 00:30:22 - mmengine - INFO - Epoch(val) [23][80/155] eta: 0:00:38 time: 0.5149 data_time: 0.3756 memory: 1829 2022/08/09 00:30:34 - mmengine - INFO - Epoch(val) [23][100/155] eta: 0:00:33 time: 0.6125 data_time: 0.4747 memory: 1829 2022/08/09 00:30:43 - mmengine - INFO - Epoch(val) [23][120/155] eta: 0:00:14 time: 0.4198 data_time: 0.2801 memory: 1829 2022/08/09 00:30:55 - mmengine - INFO - Epoch(val) [23][140/155] eta: 0:00:09 time: 0.6062 data_time: 0.4669 memory: 1829 2022/08/09 00:31:11 - mmengine - INFO - Epoch(val) [23][155/155] acc/top1: 0.6166 acc/top5: 0.8447 acc/mean1: 0.6164 2022/08/09 00:31:27 - mmengine - INFO - Epoch(train) [24][20/1879] lr: 2.0000e-02 eta: 8:33:25 time: 0.8297 data_time: 0.2341 memory: 13723 grad_norm: 3.7852 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6235 loss: 1.6235 2022/08/09 00:31:40 - mmengine - INFO - Epoch(train) [24][40/1879] lr: 2.0000e-02 eta: 8:33:13 time: 0.6103 data_time: 0.0242 memory: 13723 grad_norm: 3.7740 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4317 loss: 1.4317 2022/08/09 00:31:53 - mmengine - INFO - Epoch(train) [24][60/1879] lr: 2.0000e-02 eta: 8:33:02 time: 0.6474 data_time: 0.0263 memory: 13723 grad_norm: 3.7217 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5486 loss: 1.5486 2022/08/09 00:32:04 - mmengine - INFO - Epoch(train) [24][80/1879] lr: 2.0000e-02 eta: 8:32:49 time: 0.5716 data_time: 0.0234 memory: 13723 grad_norm: 3.7924 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4369 loss: 1.4369 2022/08/09 00:32:16 - mmengine - INFO - Epoch(train) [24][100/1879] lr: 2.0000e-02 eta: 8:32:36 time: 0.5764 data_time: 0.0253 memory: 13723 grad_norm: 3.7712 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5113 loss: 1.5113 2022/08/09 00:32:27 - mmengine - INFO - Epoch(train) [24][120/1879] lr: 2.0000e-02 eta: 8:32:23 time: 0.5742 data_time: 0.0253 memory: 13723 grad_norm: 3.8072 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5797 loss: 1.5797 2022/08/09 00:32:39 - mmengine - INFO - Epoch(train) [24][140/1879] lr: 2.0000e-02 eta: 8:32:10 time: 0.5741 data_time: 0.0241 memory: 13723 grad_norm: 3.7609 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6103 loss: 1.6103 2022/08/09 00:32:50 - mmengine - INFO - Epoch(train) [24][160/1879] lr: 2.0000e-02 eta: 8:31:58 time: 0.5860 data_time: 0.0250 memory: 13723 grad_norm: 3.8023 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4816 loss: 1.4816 2022/08/09 00:33:02 - mmengine - INFO - Epoch(train) [24][180/1879] lr: 2.0000e-02 eta: 8:31:45 time: 0.5824 data_time: 0.0236 memory: 13723 grad_norm: 3.7982 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4116 loss: 1.4116 2022/08/09 00:33:14 - mmengine - INFO - Epoch(train) [24][200/1879] lr: 2.0000e-02 eta: 8:31:32 time: 0.5886 data_time: 0.0249 memory: 13723 grad_norm: 3.8294 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5197 loss: 1.5197 2022/08/09 00:33:25 - mmengine - INFO - Epoch(train) [24][220/1879] lr: 2.0000e-02 eta: 8:31:20 time: 0.5819 data_time: 0.0238 memory: 13723 grad_norm: 3.8663 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4603 loss: 1.4603 2022/08/09 00:33:37 - mmengine - INFO - Epoch(train) [24][240/1879] lr: 2.0000e-02 eta: 8:31:07 time: 0.5832 data_time: 0.0233 memory: 13723 grad_norm: 3.8140 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5727 loss: 1.5727 2022/08/09 00:33:50 - mmengine - INFO - Epoch(train) [24][260/1879] lr: 2.0000e-02 eta: 8:30:55 time: 0.6309 data_time: 0.0218 memory: 13723 grad_norm: 3.7157 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4920 loss: 1.4920 2022/08/09 00:34:02 - mmengine - INFO - Epoch(train) [24][280/1879] lr: 2.0000e-02 eta: 8:30:43 time: 0.5924 data_time: 0.0235 memory: 13723 grad_norm: 3.8873 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5660 loss: 1.5660 2022/08/09 00:34:13 - mmengine - INFO - Epoch(train) [24][300/1879] lr: 2.0000e-02 eta: 8:30:30 time: 0.5734 data_time: 0.0242 memory: 13723 grad_norm: 3.7591 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4103 loss: 1.4103 2022/08/09 00:34:25 - mmengine - INFO - Epoch(train) [24][320/1879] lr: 2.0000e-02 eta: 8:30:17 time: 0.5869 data_time: 0.0241 memory: 13723 grad_norm: 3.8554 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5493 loss: 1.5493 2022/08/09 00:34:37 - mmengine - INFO - Epoch(train) [24][340/1879] lr: 2.0000e-02 eta: 8:30:05 time: 0.6016 data_time: 0.0229 memory: 13723 grad_norm: 3.8734 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5697 loss: 1.5697 2022/08/09 00:34:48 - mmengine - INFO - Epoch(train) [24][360/1879] lr: 2.0000e-02 eta: 8:29:52 time: 0.5773 data_time: 0.0251 memory: 13723 grad_norm: 3.7951 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3877 loss: 1.3877 2022/08/09 00:35:01 - mmengine - INFO - Epoch(train) [24][380/1879] lr: 2.0000e-02 eta: 8:29:40 time: 0.6183 data_time: 0.0228 memory: 13723 grad_norm: 3.8009 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6336 loss: 1.6336 2022/08/09 00:35:16 - mmengine - INFO - Epoch(train) [24][400/1879] lr: 2.0000e-02 eta: 8:29:32 time: 0.7777 data_time: 0.0203 memory: 13723 grad_norm: 3.8037 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5993 loss: 1.5993 2022/08/09 00:35:28 - mmengine - INFO - Epoch(train) [24][420/1879] lr: 2.0000e-02 eta: 8:29:19 time: 0.5747 data_time: 0.0225 memory: 13723 grad_norm: 3.9601 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6045 loss: 1.6045 2022/08/09 00:35:40 - mmengine - INFO - Epoch(train) [24][440/1879] lr: 2.0000e-02 eta: 8:29:07 time: 0.5933 data_time: 0.0237 memory: 13723 grad_norm: 3.7688 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4035 loss: 1.4035 2022/08/09 00:35:53 - mmengine - INFO - Epoch(train) [24][460/1879] lr: 2.0000e-02 eta: 8:28:56 time: 0.6593 data_time: 0.0236 memory: 13723 grad_norm: 3.9806 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5900 loss: 1.5900 2022/08/09 00:36:05 - mmengine - INFO - Epoch(train) [24][480/1879] lr: 2.0000e-02 eta: 8:28:43 time: 0.5880 data_time: 0.0213 memory: 13723 grad_norm: 3.8259 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5038 loss: 1.5038 2022/08/09 00:36:17 - mmengine - INFO - Epoch(train) [24][500/1879] lr: 2.0000e-02 eta: 8:28:31 time: 0.5935 data_time: 0.0234 memory: 13723 grad_norm: 3.9046 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5524 loss: 1.5524 2022/08/09 00:36:29 - mmengine - INFO - Epoch(train) [24][520/1879] lr: 2.0000e-02 eta: 8:28:19 time: 0.6169 data_time: 0.0221 memory: 13723 grad_norm: 3.7722 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7413 loss: 1.7413 2022/08/09 00:36:41 - mmengine - INFO - Epoch(train) [24][540/1879] lr: 2.0000e-02 eta: 8:28:06 time: 0.5965 data_time: 0.0252 memory: 13723 grad_norm: 3.7448 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5288 loss: 1.5288 2022/08/09 00:36:53 - mmengine - INFO - Epoch(train) [24][560/1879] lr: 2.0000e-02 eta: 8:27:54 time: 0.6144 data_time: 0.0223 memory: 13723 grad_norm: 3.8451 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5226 loss: 1.5226 2022/08/09 00:37:05 - mmengine - INFO - Epoch(train) [24][580/1879] lr: 2.0000e-02 eta: 8:27:42 time: 0.5989 data_time: 0.0215 memory: 13723 grad_norm: 3.7890 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7315 loss: 1.7315 2022/08/09 00:37:18 - mmengine - INFO - Epoch(train) [24][600/1879] lr: 2.0000e-02 eta: 8:27:31 time: 0.6466 data_time: 0.0217 memory: 13723 grad_norm: 3.9464 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6060 loss: 1.6060 2022/08/09 00:37:30 - mmengine - INFO - Epoch(train) [24][620/1879] lr: 2.0000e-02 eta: 8:27:18 time: 0.5892 data_time: 0.0235 memory: 13723 grad_norm: 3.8604 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6028 loss: 1.6028 2022/08/09 00:37:41 - mmengine - INFO - Epoch(train) [24][640/1879] lr: 2.0000e-02 eta: 8:27:05 time: 0.5830 data_time: 0.0249 memory: 13723 grad_norm: 3.8492 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4292 loss: 1.4292 2022/08/09 00:37:53 - mmengine - INFO - Epoch(train) [24][660/1879] lr: 2.0000e-02 eta: 8:26:53 time: 0.5920 data_time: 0.0234 memory: 13723 grad_norm: 3.9752 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4225 loss: 1.4225 2022/08/09 00:38:06 - mmengine - INFO - Epoch(train) [24][680/1879] lr: 2.0000e-02 eta: 8:26:42 time: 0.6540 data_time: 0.0230 memory: 13723 grad_norm: 3.9262 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.7040 loss: 1.7040 2022/08/09 00:38:18 - mmengine - INFO - Epoch(train) [24][700/1879] lr: 2.0000e-02 eta: 8:26:29 time: 0.5693 data_time: 0.0230 memory: 13723 grad_norm: 3.8914 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5271 loss: 1.5271 2022/08/09 00:38:31 - mmengine - INFO - Epoch(train) [24][720/1879] lr: 2.0000e-02 eta: 8:26:18 time: 0.6579 data_time: 0.0262 memory: 13723 grad_norm: 3.8511 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5563 loss: 1.5563 2022/08/09 00:38:42 - mmengine - INFO - Epoch(train) [24][740/1879] lr: 2.0000e-02 eta: 8:26:05 time: 0.5762 data_time: 0.0243 memory: 13723 grad_norm: 3.7566 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4045 loss: 1.4045 2022/08/09 00:38:56 - mmengine - INFO - Epoch(train) [24][760/1879] lr: 2.0000e-02 eta: 8:25:54 time: 0.6704 data_time: 0.0211 memory: 13723 grad_norm: 3.7480 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5025 loss: 1.5025 2022/08/09 00:39:08 - mmengine - INFO - Epoch(train) [24][780/1879] lr: 2.0000e-02 eta: 8:25:42 time: 0.6240 data_time: 0.0229 memory: 13723 grad_norm: 3.7147 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5498 loss: 1.5498 2022/08/09 00:39:10 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 00:39:20 - mmengine - INFO - Epoch(train) [24][800/1879] lr: 2.0000e-02 eta: 8:25:30 time: 0.5787 data_time: 0.0247 memory: 13723 grad_norm: 3.8911 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6743 loss: 1.6743 2022/08/09 00:39:32 - mmengine - INFO - Epoch(train) [24][820/1879] lr: 2.0000e-02 eta: 8:25:18 time: 0.6235 data_time: 0.0233 memory: 13723 grad_norm: 3.8902 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4812 loss: 1.4812 2022/08/09 00:39:44 - mmengine - INFO - Epoch(train) [24][840/1879] lr: 2.0000e-02 eta: 8:25:05 time: 0.5791 data_time: 0.0249 memory: 13723 grad_norm: 3.8860 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5652 loss: 1.5652 2022/08/09 00:39:56 - mmengine - INFO - Epoch(train) [24][860/1879] lr: 2.0000e-02 eta: 8:24:52 time: 0.5771 data_time: 0.0250 memory: 13723 grad_norm: 3.7602 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4491 loss: 1.4491 2022/08/09 00:40:07 - mmengine - INFO - Epoch(train) [24][880/1879] lr: 2.0000e-02 eta: 8:24:39 time: 0.5720 data_time: 0.0189 memory: 13723 grad_norm: 3.8703 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6009 loss: 1.6009 2022/08/09 00:40:23 - mmengine - INFO - Epoch(train) [24][900/1879] lr: 2.0000e-02 eta: 8:24:32 time: 0.8014 data_time: 0.0263 memory: 13723 grad_norm: 3.7876 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5199 loss: 1.5199 2022/08/09 00:40:35 - mmengine - INFO - Epoch(train) [24][920/1879] lr: 2.0000e-02 eta: 8:24:20 time: 0.6174 data_time: 0.0223 memory: 13723 grad_norm: 3.8815 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6156 loss: 1.6156 2022/08/09 00:40:47 - mmengine - INFO - Epoch(train) [24][940/1879] lr: 2.0000e-02 eta: 8:24:07 time: 0.5980 data_time: 0.0234 memory: 13723 grad_norm: 3.7756 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6142 loss: 1.6142 2022/08/09 00:41:00 - mmengine - INFO - Epoch(train) [24][960/1879] lr: 2.0000e-02 eta: 8:23:55 time: 0.6085 data_time: 0.0214 memory: 13723 grad_norm: 3.7186 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5540 loss: 1.5540 2022/08/09 00:41:11 - mmengine - INFO - Epoch(train) [24][980/1879] lr: 2.0000e-02 eta: 8:23:42 time: 0.5782 data_time: 0.0241 memory: 13723 grad_norm: 3.7809 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4140 loss: 1.4140 2022/08/09 00:41:23 - mmengine - INFO - Epoch(train) [24][1000/1879] lr: 2.0000e-02 eta: 8:23:30 time: 0.5833 data_time: 0.0255 memory: 13723 grad_norm: 3.7791 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4649 loss: 1.4649 2022/08/09 00:41:34 - mmengine - INFO - Epoch(train) [24][1020/1879] lr: 2.0000e-02 eta: 8:23:17 time: 0.5705 data_time: 0.0254 memory: 13723 grad_norm: 3.9226 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4965 loss: 1.4965 2022/08/09 00:41:46 - mmengine - INFO - Epoch(train) [24][1040/1879] lr: 2.0000e-02 eta: 8:23:04 time: 0.5878 data_time: 0.0245 memory: 13723 grad_norm: 3.8145 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5768 loss: 1.5768 2022/08/09 00:41:58 - mmengine - INFO - Epoch(train) [24][1060/1879] lr: 2.0000e-02 eta: 8:22:51 time: 0.5824 data_time: 0.0264 memory: 13723 grad_norm: 3.8083 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5509 loss: 1.5509 2022/08/09 00:42:10 - mmengine - INFO - Epoch(train) [24][1080/1879] lr: 2.0000e-02 eta: 8:22:39 time: 0.6003 data_time: 0.0235 memory: 13723 grad_norm: 3.7800 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4579 loss: 1.4579 2022/08/09 00:42:21 - mmengine - INFO - Epoch(train) [24][1100/1879] lr: 2.0000e-02 eta: 8:22:26 time: 0.5876 data_time: 0.0246 memory: 13723 grad_norm: 3.8285 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4908 loss: 1.4908 2022/08/09 00:42:33 - mmengine - INFO - Epoch(train) [24][1120/1879] lr: 2.0000e-02 eta: 8:22:14 time: 0.5793 data_time: 0.0228 memory: 13723 grad_norm: 3.8257 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4094 loss: 1.4094 2022/08/09 00:42:45 - mmengine - INFO - Epoch(train) [24][1140/1879] lr: 2.0000e-02 eta: 8:22:01 time: 0.5938 data_time: 0.0225 memory: 13723 grad_norm: 3.8186 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6677 loss: 1.6677 2022/08/09 00:42:56 - mmengine - INFO - Epoch(train) [24][1160/1879] lr: 2.0000e-02 eta: 8:21:48 time: 0.5747 data_time: 0.0247 memory: 13723 grad_norm: 3.8915 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3457 loss: 1.3457 2022/08/09 00:43:08 - mmengine - INFO - Epoch(train) [24][1180/1879] lr: 2.0000e-02 eta: 8:21:35 time: 0.5677 data_time: 0.0240 memory: 13723 grad_norm: 3.8755 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5339 loss: 1.5339 2022/08/09 00:43:20 - mmengine - INFO - Epoch(train) [24][1200/1879] lr: 2.0000e-02 eta: 8:21:23 time: 0.5903 data_time: 0.0265 memory: 13723 grad_norm: 3.7933 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5749 loss: 1.5749 2022/08/09 00:43:31 - mmengine - INFO - Epoch(train) [24][1220/1879] lr: 2.0000e-02 eta: 8:21:10 time: 0.5692 data_time: 0.0239 memory: 13723 grad_norm: 3.8816 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4966 loss: 1.4966 2022/08/09 00:43:43 - mmengine - INFO - Epoch(train) [24][1240/1879] lr: 2.0000e-02 eta: 8:20:57 time: 0.5811 data_time: 0.0247 memory: 13723 grad_norm: 3.8794 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6976 loss: 1.6976 2022/08/09 00:43:54 - mmengine - INFO - Epoch(train) [24][1260/1879] lr: 2.0000e-02 eta: 8:20:44 time: 0.5792 data_time: 0.0241 memory: 13723 grad_norm: 3.7489 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4729 loss: 1.4729 2022/08/09 00:44:06 - mmengine - INFO - Epoch(train) [24][1280/1879] lr: 2.0000e-02 eta: 8:20:31 time: 0.5764 data_time: 0.0239 memory: 13723 grad_norm: 3.8663 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6360 loss: 1.6360 2022/08/09 00:44:17 - mmengine - INFO - Epoch(train) [24][1300/1879] lr: 2.0000e-02 eta: 8:20:19 time: 0.5836 data_time: 0.0243 memory: 13723 grad_norm: 3.8204 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3686 loss: 1.3686 2022/08/09 00:44:29 - mmengine - INFO - Epoch(train) [24][1320/1879] lr: 2.0000e-02 eta: 8:20:06 time: 0.5750 data_time: 0.0342 memory: 13723 grad_norm: 3.8461 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4806 loss: 1.4806 2022/08/09 00:44:40 - mmengine - INFO - Epoch(train) [24][1340/1879] lr: 2.0000e-02 eta: 8:19:53 time: 0.5772 data_time: 0.0239 memory: 13723 grad_norm: 3.9234 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5891 loss: 1.5891 2022/08/09 00:44:52 - mmengine - INFO - Epoch(train) [24][1360/1879] lr: 2.0000e-02 eta: 8:19:40 time: 0.5712 data_time: 0.0245 memory: 13723 grad_norm: 3.8744 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5277 loss: 1.5277 2022/08/09 00:45:03 - mmengine - INFO - Epoch(train) [24][1380/1879] lr: 2.0000e-02 eta: 8:19:27 time: 0.5772 data_time: 0.0229 memory: 13723 grad_norm: 3.7798 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5741 loss: 1.5741 2022/08/09 00:45:21 - mmengine - INFO - Epoch(train) [24][1400/1879] lr: 2.0000e-02 eta: 8:19:21 time: 0.8647 data_time: 0.0253 memory: 13723 grad_norm: 3.7826 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4727 loss: 1.4727 2022/08/09 00:45:32 - mmengine - INFO - Epoch(train) [24][1420/1879] lr: 2.0000e-02 eta: 8:19:08 time: 0.5771 data_time: 0.0237 memory: 13723 grad_norm: 3.8384 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6307 loss: 1.6307 2022/08/09 00:45:44 - mmengine - INFO - Epoch(train) [24][1440/1879] lr: 2.0000e-02 eta: 8:18:56 time: 0.5922 data_time: 0.0227 memory: 13723 grad_norm: 3.8540 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5554 loss: 1.5554 2022/08/09 00:45:55 - mmengine - INFO - Epoch(train) [24][1460/1879] lr: 2.0000e-02 eta: 8:18:42 time: 0.5640 data_time: 0.0235 memory: 13723 grad_norm: 3.8141 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4955 loss: 1.4955 2022/08/09 00:46:07 - mmengine - INFO - Epoch(train) [24][1480/1879] lr: 2.0000e-02 eta: 8:18:30 time: 0.5716 data_time: 0.0237 memory: 13723 grad_norm: 3.8037 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5787 loss: 1.5787 2022/08/09 00:46:18 - mmengine - INFO - Epoch(train) [24][1500/1879] lr: 2.0000e-02 eta: 8:18:17 time: 0.5788 data_time: 0.0287 memory: 13723 grad_norm: 3.8437 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5032 loss: 1.5032 2022/08/09 00:46:30 - mmengine - INFO - Epoch(train) [24][1520/1879] lr: 2.0000e-02 eta: 8:18:04 time: 0.5866 data_time: 0.0233 memory: 13723 grad_norm: 3.8848 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6941 loss: 1.6941 2022/08/09 00:46:42 - mmengine - INFO - Epoch(train) [24][1540/1879] lr: 2.0000e-02 eta: 8:17:51 time: 0.5816 data_time: 0.0246 memory: 13723 grad_norm: 3.8543 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5062 loss: 1.5062 2022/08/09 00:46:53 - mmengine - INFO - Epoch(train) [24][1560/1879] lr: 2.0000e-02 eta: 8:17:39 time: 0.5752 data_time: 0.0259 memory: 13723 grad_norm: 3.8851 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5238 loss: 1.5238 2022/08/09 00:47:05 - mmengine - INFO - Epoch(train) [24][1580/1879] lr: 2.0000e-02 eta: 8:17:26 time: 0.5760 data_time: 0.0256 memory: 13723 grad_norm: 3.6918 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5919 loss: 1.5919 2022/08/09 00:47:16 - mmengine - INFO - Epoch(train) [24][1600/1879] lr: 2.0000e-02 eta: 8:17:13 time: 0.5797 data_time: 0.0236 memory: 13723 grad_norm: 3.9110 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5136 loss: 1.5136 2022/08/09 00:47:28 - mmengine - INFO - Epoch(train) [24][1620/1879] lr: 2.0000e-02 eta: 8:17:00 time: 0.5712 data_time: 0.0256 memory: 13723 grad_norm: 3.8257 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4682 loss: 1.4682 2022/08/09 00:47:39 - mmengine - INFO - Epoch(train) [24][1640/1879] lr: 2.0000e-02 eta: 8:16:47 time: 0.5755 data_time: 0.0239 memory: 13723 grad_norm: 3.7587 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5567 loss: 1.5567 2022/08/09 00:47:51 - mmengine - INFO - Epoch(train) [24][1660/1879] lr: 2.0000e-02 eta: 8:16:35 time: 0.5846 data_time: 0.0241 memory: 13723 grad_norm: 3.7691 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6273 loss: 1.6273 2022/08/09 00:48:03 - mmengine - INFO - Epoch(train) [24][1680/1879] lr: 2.0000e-02 eta: 8:16:22 time: 0.5790 data_time: 0.0257 memory: 13723 grad_norm: 3.8835 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6396 loss: 1.6396 2022/08/09 00:48:14 - mmengine - INFO - Epoch(train) [24][1700/1879] lr: 2.0000e-02 eta: 8:16:09 time: 0.5772 data_time: 0.0247 memory: 13723 grad_norm: 3.8813 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5359 loss: 1.5359 2022/08/09 00:48:26 - mmengine - INFO - Epoch(train) [24][1720/1879] lr: 2.0000e-02 eta: 8:15:56 time: 0.5809 data_time: 0.0263 memory: 13723 grad_norm: 3.9384 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7364 loss: 1.7364 2022/08/09 00:48:37 - mmengine - INFO - Epoch(train) [24][1740/1879] lr: 2.0000e-02 eta: 8:15:44 time: 0.5765 data_time: 0.0228 memory: 13723 grad_norm: 3.8806 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6576 loss: 1.6576 2022/08/09 00:48:49 - mmengine - INFO - Epoch(train) [24][1760/1879] lr: 2.0000e-02 eta: 8:15:31 time: 0.5787 data_time: 0.0257 memory: 13723 grad_norm: 3.7638 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4995 loss: 1.4995 2022/08/09 00:49:01 - mmengine - INFO - Epoch(train) [24][1780/1879] lr: 2.0000e-02 eta: 8:15:18 time: 0.5847 data_time: 0.0244 memory: 13723 grad_norm: 3.7696 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4693 loss: 1.4693 2022/08/09 00:49:02 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 00:49:12 - mmengine - INFO - Epoch(train) [24][1800/1879] lr: 2.0000e-02 eta: 8:15:05 time: 0.5725 data_time: 0.0272 memory: 13723 grad_norm: 3.7863 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5504 loss: 1.5504 2022/08/09 00:49:25 - mmengine - INFO - Epoch(train) [24][1820/1879] lr: 2.0000e-02 eta: 8:14:54 time: 0.6549 data_time: 0.0217 memory: 13723 grad_norm: 3.8925 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7893 loss: 1.7893 2022/08/09 00:49:38 - mmengine - INFO - Epoch(train) [24][1840/1879] lr: 2.0000e-02 eta: 8:14:42 time: 0.6285 data_time: 0.0344 memory: 13723 grad_norm: 3.6983 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4251 loss: 1.4251 2022/08/09 00:49:50 - mmengine - INFO - Epoch(train) [24][1860/1879] lr: 2.0000e-02 eta: 8:14:30 time: 0.5864 data_time: 0.0235 memory: 13723 grad_norm: 3.7841 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5384 loss: 1.5384 2022/08/09 00:50:00 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 00:50:00 - mmengine - INFO - Epoch(train) [24][1879/1879] lr: 2.0000e-02 eta: 8:14:30 time: 0.5411 data_time: 0.0174 memory: 13723 grad_norm: 3.9480 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.7590 loss: 1.7590 2022/08/09 00:50:00 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/08/09 00:50:16 - mmengine - INFO - Epoch(val) [24][20/155] eta: 0:01:36 time: 0.7166 data_time: 0.5778 memory: 1829 2022/08/09 00:50:26 - mmengine - INFO - Epoch(val) [24][40/155] eta: 0:00:54 time: 0.4762 data_time: 0.3381 memory: 1829 2022/08/09 00:50:37 - mmengine - INFO - Epoch(val) [24][60/155] eta: 0:00:55 time: 0.5840 data_time: 0.4447 memory: 1829 2022/08/09 00:50:48 - mmengine - INFO - Epoch(val) [24][80/155] eta: 0:00:41 time: 0.5592 data_time: 0.4200 memory: 1829 2022/08/09 00:50:58 - mmengine - INFO - Epoch(val) [24][100/155] eta: 0:00:26 time: 0.4755 data_time: 0.3357 memory: 1829 2022/08/09 00:51:10 - mmengine - INFO - Epoch(val) [24][120/155] eta: 0:00:20 time: 0.5846 data_time: 0.4455 memory: 1829 2022/08/09 00:51:19 - mmengine - INFO - Epoch(val) [24][140/155] eta: 0:00:07 time: 0.4904 data_time: 0.3515 memory: 1829 2022/08/09 00:51:33 - mmengine - INFO - Epoch(val) [24][155/155] acc/top1: 0.6161 acc/top5: 0.8432 acc/mean1: 0.6159 2022/08/09 00:51:51 - mmengine - INFO - Epoch(train) [25][20/1879] lr: 2.0000e-02 eta: 8:13:59 time: 0.8591 data_time: 0.2481 memory: 13723 grad_norm: 3.8380 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6094 loss: 1.6094 2022/08/09 00:52:04 - mmengine - INFO - Epoch(train) [25][40/1879] lr: 2.0000e-02 eta: 8:13:48 time: 0.6383 data_time: 0.0300 memory: 13723 grad_norm: 3.6640 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.6684 loss: 1.6684 2022/08/09 00:52:15 - mmengine - INFO - Epoch(train) [25][60/1879] lr: 2.0000e-02 eta: 8:13:35 time: 0.5739 data_time: 0.0239 memory: 13723 grad_norm: 3.7000 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4161 loss: 1.4161 2022/08/09 00:52:27 - mmengine - INFO - Epoch(train) [25][80/1879] lr: 2.0000e-02 eta: 8:13:22 time: 0.5843 data_time: 0.0219 memory: 13723 grad_norm: 3.8049 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4227 loss: 1.4227 2022/08/09 00:52:38 - mmengine - INFO - Epoch(train) [25][100/1879] lr: 2.0000e-02 eta: 8:13:10 time: 0.5853 data_time: 0.0235 memory: 13723 grad_norm: 3.8756 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5641 loss: 1.5641 2022/08/09 00:52:50 - mmengine - INFO - Epoch(train) [25][120/1879] lr: 2.0000e-02 eta: 8:12:57 time: 0.5730 data_time: 0.0235 memory: 13723 grad_norm: 3.9278 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5134 loss: 1.5134 2022/08/09 00:53:01 - mmengine - INFO - Epoch(train) [25][140/1879] lr: 2.0000e-02 eta: 8:12:44 time: 0.5761 data_time: 0.0242 memory: 13723 grad_norm: 3.8283 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5212 loss: 1.5212 2022/08/09 00:53:14 - mmengine - INFO - Epoch(train) [25][160/1879] lr: 2.0000e-02 eta: 8:12:32 time: 0.6325 data_time: 0.0250 memory: 13723 grad_norm: 3.8787 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3773 loss: 1.3773 2022/08/09 00:53:26 - mmengine - INFO - Epoch(train) [25][180/1879] lr: 2.0000e-02 eta: 8:12:20 time: 0.5740 data_time: 0.0236 memory: 13723 grad_norm: 3.9115 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5606 loss: 1.5606 2022/08/09 00:53:37 - mmengine - INFO - Epoch(train) [25][200/1879] lr: 2.0000e-02 eta: 8:12:07 time: 0.5833 data_time: 0.0245 memory: 13723 grad_norm: 3.7574 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3627 loss: 1.3627 2022/08/09 00:53:49 - mmengine - INFO - Epoch(train) [25][220/1879] lr: 2.0000e-02 eta: 8:11:54 time: 0.5781 data_time: 0.0241 memory: 13723 grad_norm: 3.9414 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4980 loss: 1.4980 2022/08/09 00:54:01 - mmengine - INFO - Epoch(train) [25][240/1879] lr: 2.0000e-02 eta: 8:11:42 time: 0.6040 data_time: 0.0235 memory: 13723 grad_norm: 3.9105 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4308 loss: 1.4308 2022/08/09 00:54:12 - mmengine - INFO - Epoch(train) [25][260/1879] lr: 2.0000e-02 eta: 8:11:29 time: 0.5770 data_time: 0.0240 memory: 13723 grad_norm: 3.8001 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4242 loss: 1.4242 2022/08/09 00:54:24 - mmengine - INFO - Epoch(train) [25][280/1879] lr: 2.0000e-02 eta: 8:11:17 time: 0.5829 data_time: 0.0238 memory: 13723 grad_norm: 3.8129 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4768 loss: 1.4768 2022/08/09 00:54:36 - mmengine - INFO - Epoch(train) [25][300/1879] lr: 2.0000e-02 eta: 8:11:04 time: 0.5762 data_time: 0.0253 memory: 13723 grad_norm: 3.8867 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6168 loss: 1.6168 2022/08/09 00:54:47 - mmengine - INFO - Epoch(train) [25][320/1879] lr: 2.0000e-02 eta: 8:10:51 time: 0.5875 data_time: 0.0251 memory: 13723 grad_norm: 3.7822 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4653 loss: 1.4653 2022/08/09 00:54:59 - mmengine - INFO - Epoch(train) [25][340/1879] lr: 2.0000e-02 eta: 8:10:39 time: 0.5922 data_time: 0.0229 memory: 13723 grad_norm: 3.9106 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4794 loss: 1.4794 2022/08/09 00:55:11 - mmengine - INFO - Epoch(train) [25][360/1879] lr: 2.0000e-02 eta: 8:10:26 time: 0.5918 data_time: 0.0211 memory: 13723 grad_norm: 3.9206 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5038 loss: 1.5038 2022/08/09 00:55:23 - mmengine - INFO - Epoch(train) [25][380/1879] lr: 2.0000e-02 eta: 8:10:14 time: 0.5796 data_time: 0.0253 memory: 13723 grad_norm: 3.7779 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6735 loss: 1.6735 2022/08/09 00:55:35 - mmengine - INFO - Epoch(train) [25][400/1879] lr: 2.0000e-02 eta: 8:10:01 time: 0.5907 data_time: 0.0235 memory: 13723 grad_norm: 3.7973 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7030 loss: 1.7030 2022/08/09 00:55:46 - mmengine - INFO - Epoch(train) [25][420/1879] lr: 2.0000e-02 eta: 8:09:48 time: 0.5756 data_time: 0.0251 memory: 13723 grad_norm: 3.8669 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5227 loss: 1.5227 2022/08/09 00:55:58 - mmengine - INFO - Epoch(train) [25][440/1879] lr: 2.0000e-02 eta: 8:09:35 time: 0.5770 data_time: 0.0260 memory: 13723 grad_norm: 3.8903 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5282 loss: 1.5282 2022/08/09 00:56:09 - mmengine - INFO - Epoch(train) [25][460/1879] lr: 2.0000e-02 eta: 8:09:23 time: 0.5790 data_time: 0.0254 memory: 13723 grad_norm: 3.8994 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6838 loss: 1.6838 2022/08/09 00:56:21 - mmengine - INFO - Epoch(train) [25][480/1879] lr: 2.0000e-02 eta: 8:09:10 time: 0.5816 data_time: 0.0242 memory: 13723 grad_norm: 3.8522 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5442 loss: 1.5442 2022/08/09 00:56:33 - mmengine - INFO - Epoch(train) [25][500/1879] lr: 2.0000e-02 eta: 8:08:58 time: 0.5860 data_time: 0.0244 memory: 13723 grad_norm: 3.9242 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5823 loss: 1.5823 2022/08/09 00:56:44 - mmengine - INFO - Epoch(train) [25][520/1879] lr: 2.0000e-02 eta: 8:08:45 time: 0.5753 data_time: 0.0261 memory: 13723 grad_norm: 3.7886 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5965 loss: 1.5965 2022/08/09 00:56:56 - mmengine - INFO - Epoch(train) [25][540/1879] lr: 2.0000e-02 eta: 8:08:32 time: 0.5717 data_time: 0.0238 memory: 13723 grad_norm: 3.9183 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4639 loss: 1.4639 2022/08/09 00:57:08 - mmengine - INFO - Epoch(train) [25][560/1879] lr: 2.0000e-02 eta: 8:08:21 time: 0.6470 data_time: 0.0243 memory: 13723 grad_norm: 3.7923 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3990 loss: 1.3990 2022/08/09 00:57:20 - mmengine - INFO - Epoch(train) [25][580/1879] lr: 2.0000e-02 eta: 8:08:08 time: 0.5735 data_time: 0.0232 memory: 13723 grad_norm: 3.7698 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7041 loss: 1.7041 2022/08/09 00:57:32 - mmengine - INFO - Epoch(train) [25][600/1879] lr: 2.0000e-02 eta: 8:07:55 time: 0.5792 data_time: 0.0238 memory: 13723 grad_norm: 3.8862 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5441 loss: 1.5441 2022/08/09 00:57:43 - mmengine - INFO - Epoch(train) [25][620/1879] lr: 2.0000e-02 eta: 8:07:42 time: 0.5809 data_time: 0.0253 memory: 13723 grad_norm: 3.8364 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3766 loss: 1.3766 2022/08/09 00:57:55 - mmengine - INFO - Epoch(train) [25][640/1879] lr: 2.0000e-02 eta: 8:07:30 time: 0.5747 data_time: 0.0233 memory: 13723 grad_norm: 3.7599 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4172 loss: 1.4172 2022/08/09 00:58:06 - mmengine - INFO - Epoch(train) [25][660/1879] lr: 2.0000e-02 eta: 8:07:17 time: 0.5738 data_time: 0.0268 memory: 13723 grad_norm: 3.7725 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3877 loss: 1.3877 2022/08/09 00:58:18 - mmengine - INFO - Epoch(train) [25][680/1879] lr: 2.0000e-02 eta: 8:07:04 time: 0.5839 data_time: 0.0267 memory: 13723 grad_norm: 3.7921 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5018 loss: 1.5018 2022/08/09 00:58:30 - mmengine - INFO - Epoch(train) [25][700/1879] lr: 2.0000e-02 eta: 8:06:52 time: 0.5922 data_time: 0.0248 memory: 13723 grad_norm: 3.8984 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5524 loss: 1.5524 2022/08/09 00:58:41 - mmengine - INFO - Epoch(train) [25][720/1879] lr: 2.0000e-02 eta: 8:06:39 time: 0.5785 data_time: 0.0259 memory: 13723 grad_norm: 3.7721 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4907 loss: 1.4907 2022/08/09 00:58:53 - mmengine - INFO - Epoch(train) [25][740/1879] lr: 2.0000e-02 eta: 8:06:27 time: 0.5988 data_time: 0.0232 memory: 13723 grad_norm: 3.7838 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5416 loss: 1.5416 2022/08/09 00:59:05 - mmengine - INFO - Epoch(train) [25][760/1879] lr: 2.0000e-02 eta: 8:06:14 time: 0.5872 data_time: 0.0249 memory: 13723 grad_norm: 3.8779 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6200 loss: 1.6200 2022/08/09 00:59:17 - mmengine - INFO - Epoch(train) [25][780/1879] lr: 2.0000e-02 eta: 8:06:01 time: 0.5750 data_time: 0.0226 memory: 13723 grad_norm: 3.7950 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6026 loss: 1.6026 2022/08/09 00:59:28 - mmengine - INFO - Epoch(train) [25][800/1879] lr: 2.0000e-02 eta: 8:05:49 time: 0.5814 data_time: 0.0250 memory: 13723 grad_norm: 3.7975 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5096 loss: 1.5096 2022/08/09 00:59:40 - mmengine - INFO - Epoch(train) [25][820/1879] lr: 2.0000e-02 eta: 8:05:36 time: 0.5762 data_time: 0.0240 memory: 13723 grad_norm: 3.9276 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5089 loss: 1.5089 2022/08/09 00:59:53 - mmengine - INFO - Epoch(train) [25][840/1879] lr: 2.0000e-02 eta: 8:05:25 time: 0.6632 data_time: 0.0225 memory: 13723 grad_norm: 3.7802 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5149 loss: 1.5149 2022/08/09 01:00:04 - mmengine - INFO - Epoch(train) [25][860/1879] lr: 2.0000e-02 eta: 8:05:12 time: 0.5760 data_time: 0.0306 memory: 13723 grad_norm: 3.7545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6786 loss: 1.6786 2022/08/09 01:00:18 - mmengine - INFO - Epoch(train) [25][880/1879] lr: 2.0000e-02 eta: 8:05:02 time: 0.6774 data_time: 0.0789 memory: 13723 grad_norm: 3.7614 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5197 loss: 1.5197 2022/08/09 01:00:30 - mmengine - INFO - Epoch(train) [25][900/1879] lr: 2.0000e-02 eta: 8:04:49 time: 0.5799 data_time: 0.0268 memory: 13723 grad_norm: 3.7027 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3296 loss: 1.3296 2022/08/09 01:00:32 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 01:00:41 - mmengine - INFO - Epoch(train) [25][920/1879] lr: 2.0000e-02 eta: 8:04:36 time: 0.5838 data_time: 0.0255 memory: 13723 grad_norm: 3.8846 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6170 loss: 1.6170 2022/08/09 01:00:53 - mmengine - INFO - Epoch(train) [25][940/1879] lr: 2.0000e-02 eta: 8:04:24 time: 0.5794 data_time: 0.0268 memory: 13723 grad_norm: 3.8875 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4862 loss: 1.4862 2022/08/09 01:01:05 - mmengine - INFO - Epoch(train) [25][960/1879] lr: 2.0000e-02 eta: 8:04:11 time: 0.5825 data_time: 0.0287 memory: 13723 grad_norm: 3.8098 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4939 loss: 1.4939 2022/08/09 01:01:16 - mmengine - INFO - Epoch(train) [25][980/1879] lr: 2.0000e-02 eta: 8:03:58 time: 0.5779 data_time: 0.0233 memory: 13723 grad_norm: 3.7590 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4897 loss: 1.4897 2022/08/09 01:01:28 - mmengine - INFO - Epoch(train) [25][1000/1879] lr: 2.0000e-02 eta: 8:03:46 time: 0.5846 data_time: 0.0234 memory: 13723 grad_norm: 3.8132 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5066 loss: 1.5066 2022/08/09 01:01:39 - mmengine - INFO - Epoch(train) [25][1020/1879] lr: 2.0000e-02 eta: 8:03:33 time: 0.5790 data_time: 0.0243 memory: 13723 grad_norm: 3.7570 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5576 loss: 1.5576 2022/08/09 01:01:53 - mmengine - INFO - Epoch(train) [25][1040/1879] lr: 2.0000e-02 eta: 8:03:22 time: 0.6623 data_time: 0.0229 memory: 13723 grad_norm: 3.7181 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.5949 loss: 1.5949 2022/08/09 01:02:04 - mmengine - INFO - Epoch(train) [25][1060/1879] lr: 2.0000e-02 eta: 8:03:09 time: 0.5742 data_time: 0.0225 memory: 13723 grad_norm: 3.7727 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5440 loss: 1.5440 2022/08/09 01:02:16 - mmengine - INFO - Epoch(train) [25][1080/1879] lr: 2.0000e-02 eta: 8:02:56 time: 0.5738 data_time: 0.0239 memory: 13723 grad_norm: 3.8210 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5872 loss: 1.5872 2022/08/09 01:02:27 - mmengine - INFO - Epoch(train) [25][1100/1879] lr: 2.0000e-02 eta: 8:02:44 time: 0.5875 data_time: 0.0246 memory: 13723 grad_norm: 3.8099 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5058 loss: 1.5058 2022/08/09 01:02:39 - mmengine - INFO - Epoch(train) [25][1120/1879] lr: 2.0000e-02 eta: 8:02:31 time: 0.5825 data_time: 0.0230 memory: 13723 grad_norm: 3.8415 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7058 loss: 1.7058 2022/08/09 01:02:51 - mmengine - INFO - Epoch(train) [25][1140/1879] lr: 2.0000e-02 eta: 8:02:19 time: 0.6158 data_time: 0.0419 memory: 13723 grad_norm: 3.8549 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6303 loss: 1.6303 2022/08/09 01:03:03 - mmengine - INFO - Epoch(train) [25][1160/1879] lr: 2.0000e-02 eta: 8:02:06 time: 0.5787 data_time: 0.0246 memory: 13723 grad_norm: 3.7900 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5738 loss: 1.5738 2022/08/09 01:03:16 - mmengine - INFO - Epoch(train) [25][1180/1879] lr: 2.0000e-02 eta: 8:01:55 time: 0.6374 data_time: 0.0234 memory: 13723 grad_norm: 3.7504 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4582 loss: 1.4582 2022/08/09 01:03:27 - mmengine - INFO - Epoch(train) [25][1200/1879] lr: 2.0000e-02 eta: 8:01:42 time: 0.5747 data_time: 0.0233 memory: 13723 grad_norm: 3.7544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4965 loss: 1.4965 2022/08/09 01:03:39 - mmengine - INFO - Epoch(train) [25][1220/1879] lr: 2.0000e-02 eta: 8:01:30 time: 0.5809 data_time: 0.0259 memory: 13723 grad_norm: 3.7603 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5589 loss: 1.5589 2022/08/09 01:03:51 - mmengine - INFO - Epoch(train) [25][1240/1879] lr: 2.0000e-02 eta: 8:01:17 time: 0.6067 data_time: 0.0244 memory: 13723 grad_norm: 3.8231 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5924 loss: 1.5924 2022/08/09 01:04:02 - mmengine - INFO - Epoch(train) [25][1260/1879] lr: 2.0000e-02 eta: 8:01:05 time: 0.5712 data_time: 0.0234 memory: 13723 grad_norm: 3.7758 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5951 loss: 1.5951 2022/08/09 01:04:14 - mmengine - INFO - Epoch(train) [25][1280/1879] lr: 2.0000e-02 eta: 8:00:52 time: 0.5805 data_time: 0.0255 memory: 13723 grad_norm: 3.8251 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.5081 loss: 1.5081 2022/08/09 01:04:26 - mmengine - INFO - Epoch(train) [25][1300/1879] lr: 2.0000e-02 eta: 8:00:39 time: 0.5823 data_time: 0.0247 memory: 13723 grad_norm: 3.7135 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4248 loss: 1.4248 2022/08/09 01:04:38 - mmengine - INFO - Epoch(train) [25][1320/1879] lr: 2.0000e-02 eta: 8:00:27 time: 0.5974 data_time: 0.0251 memory: 13723 grad_norm: 3.7689 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5244 loss: 1.5244 2022/08/09 01:04:49 - mmengine - INFO - Epoch(train) [25][1340/1879] lr: 2.0000e-02 eta: 8:00:14 time: 0.5762 data_time: 0.0232 memory: 13723 grad_norm: 3.7875 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8808 loss: 1.8808 2022/08/09 01:05:01 - mmengine - INFO - Epoch(train) [25][1360/1879] lr: 2.0000e-02 eta: 8:00:01 time: 0.5772 data_time: 0.0251 memory: 13723 grad_norm: 3.7774 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5241 loss: 1.5241 2022/08/09 01:05:17 - mmengine - INFO - Epoch(train) [25][1380/1879] lr: 2.0000e-02 eta: 7:59:54 time: 0.8157 data_time: 0.0556 memory: 13723 grad_norm: 3.7821 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4656 loss: 1.4656 2022/08/09 01:05:29 - mmengine - INFO - Epoch(train) [25][1400/1879] lr: 2.0000e-02 eta: 7:59:42 time: 0.6116 data_time: 0.0470 memory: 13723 grad_norm: 3.8328 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4380 loss: 1.4380 2022/08/09 01:05:41 - mmengine - INFO - Epoch(train) [25][1420/1879] lr: 2.0000e-02 eta: 7:59:29 time: 0.5806 data_time: 0.0243 memory: 13723 grad_norm: 3.8206 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6011 loss: 1.6011 2022/08/09 01:05:52 - mmengine - INFO - Epoch(train) [25][1440/1879] lr: 2.0000e-02 eta: 7:59:16 time: 0.5785 data_time: 0.0232 memory: 13723 grad_norm: 3.7820 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5579 loss: 1.5579 2022/08/09 01:06:04 - mmengine - INFO - Epoch(train) [25][1460/1879] lr: 2.0000e-02 eta: 7:59:03 time: 0.5757 data_time: 0.0256 memory: 13723 grad_norm: 3.8387 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5450 loss: 1.5450 2022/08/09 01:06:15 - mmengine - INFO - Epoch(train) [25][1480/1879] lr: 2.0000e-02 eta: 7:58:51 time: 0.5732 data_time: 0.0249 memory: 13723 grad_norm: 3.8295 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4500 loss: 1.4500 2022/08/09 01:06:27 - mmengine - INFO - Epoch(train) [25][1500/1879] lr: 2.0000e-02 eta: 7:58:38 time: 0.5857 data_time: 0.0248 memory: 13723 grad_norm: 3.7504 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4671 loss: 1.4671 2022/08/09 01:06:39 - mmengine - INFO - Epoch(train) [25][1520/1879] lr: 2.0000e-02 eta: 7:58:25 time: 0.5786 data_time: 0.0252 memory: 13723 grad_norm: 3.7702 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4288 loss: 1.4288 2022/08/09 01:06:50 - mmengine - INFO - Epoch(train) [25][1540/1879] lr: 2.0000e-02 eta: 7:58:13 time: 0.5741 data_time: 0.0239 memory: 13723 grad_norm: 3.8351 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5684 loss: 1.5684 2022/08/09 01:07:02 - mmengine - INFO - Epoch(train) [25][1560/1879] lr: 2.0000e-02 eta: 7:58:00 time: 0.5799 data_time: 0.0246 memory: 13723 grad_norm: 3.8148 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3465 loss: 1.3465 2022/08/09 01:07:14 - mmengine - INFO - Epoch(train) [25][1580/1879] lr: 2.0000e-02 eta: 7:57:48 time: 0.5961 data_time: 0.0234 memory: 13723 grad_norm: 3.7979 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.5515 loss: 1.5515 2022/08/09 01:07:26 - mmengine - INFO - Epoch(train) [25][1600/1879] lr: 2.0000e-02 eta: 7:57:35 time: 0.6012 data_time: 0.0239 memory: 13723 grad_norm: 3.7791 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4694 loss: 1.4694 2022/08/09 01:07:37 - mmengine - INFO - Epoch(train) [25][1620/1879] lr: 2.0000e-02 eta: 7:57:23 time: 0.5725 data_time: 0.0236 memory: 13723 grad_norm: 3.8706 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6259 loss: 1.6259 2022/08/09 01:07:50 - mmengine - INFO - Epoch(train) [25][1640/1879] lr: 2.0000e-02 eta: 7:57:11 time: 0.6185 data_time: 0.0224 memory: 13723 grad_norm: 3.9692 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6237 loss: 1.6237 2022/08/09 01:08:01 - mmengine - INFO - Epoch(train) [25][1660/1879] lr: 2.0000e-02 eta: 7:56:58 time: 0.5887 data_time: 0.0225 memory: 13723 grad_norm: 3.8950 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6552 loss: 1.6552 2022/08/09 01:08:13 - mmengine - INFO - Epoch(train) [25][1680/1879] lr: 2.0000e-02 eta: 7:56:46 time: 0.5830 data_time: 0.0230 memory: 13723 grad_norm: 3.8023 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6297 loss: 1.6297 2022/08/09 01:08:25 - mmengine - INFO - Epoch(train) [25][1700/1879] lr: 2.0000e-02 eta: 7:56:33 time: 0.5757 data_time: 0.0247 memory: 13723 grad_norm: 3.8102 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8255 loss: 1.8255 2022/08/09 01:08:36 - mmengine - INFO - Epoch(train) [25][1720/1879] lr: 2.0000e-02 eta: 7:56:20 time: 0.5865 data_time: 0.0239 memory: 13723 grad_norm: 3.7876 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5585 loss: 1.5585 2022/08/09 01:08:48 - mmengine - INFO - Epoch(train) [25][1740/1879] lr: 2.0000e-02 eta: 7:56:08 time: 0.5775 data_time: 0.0242 memory: 13723 grad_norm: 3.8946 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6298 loss: 1.6298 2022/08/09 01:09:00 - mmengine - INFO - Epoch(train) [25][1760/1879] lr: 2.0000e-02 eta: 7:55:55 time: 0.5932 data_time: 0.0252 memory: 13723 grad_norm: 3.8183 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6657 loss: 1.6657 2022/08/09 01:09:11 - mmengine - INFO - Epoch(train) [25][1780/1879] lr: 2.0000e-02 eta: 7:55:43 time: 0.5810 data_time: 0.0244 memory: 13723 grad_norm: 3.7595 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6870 loss: 1.6870 2022/08/09 01:09:23 - mmengine - INFO - Epoch(train) [25][1800/1879] lr: 2.0000e-02 eta: 7:55:30 time: 0.5821 data_time: 0.0237 memory: 13723 grad_norm: 3.7134 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4409 loss: 1.4409 2022/08/09 01:09:35 - mmengine - INFO - Epoch(train) [25][1820/1879] lr: 2.0000e-02 eta: 7:55:17 time: 0.5766 data_time: 0.0235 memory: 13723 grad_norm: 3.7745 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3018 loss: 1.3018 2022/08/09 01:09:46 - mmengine - INFO - Epoch(train) [25][1840/1879] lr: 2.0000e-02 eta: 7:55:05 time: 0.5791 data_time: 0.0248 memory: 13723 grad_norm: 3.9346 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4353 loss: 1.4353 2022/08/09 01:09:58 - mmengine - INFO - Epoch(train) [25][1860/1879] lr: 2.0000e-02 eta: 7:54:52 time: 0.5793 data_time: 0.0259 memory: 13723 grad_norm: 3.7558 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5301 loss: 1.5301 2022/08/09 01:10:08 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 01:10:08 - mmengine - INFO - Epoch(train) [25][1879/1879] lr: 2.0000e-02 eta: 7:54:52 time: 0.5445 data_time: 0.0178 memory: 13723 grad_norm: 3.8877 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.7409 loss: 1.7409 2022/08/09 01:10:23 - mmengine - INFO - Epoch(val) [25][20/155] eta: 0:01:36 time: 0.7139 data_time: 0.5728 memory: 1829 2022/08/09 01:10:32 - mmengine - INFO - Epoch(val) [25][40/155] eta: 0:00:53 time: 0.4649 data_time: 0.3257 memory: 1829 2022/08/09 01:10:44 - mmengine - INFO - Epoch(val) [25][60/155] eta: 0:00:56 time: 0.5950 data_time: 0.4560 memory: 1829 2022/08/09 01:10:52 - mmengine - INFO - Epoch(val) [25][80/155] eta: 0:00:31 time: 0.4173 data_time: 0.2794 memory: 1829 2022/08/09 01:11:03 - mmengine - INFO - Epoch(val) [25][100/155] eta: 0:00:30 time: 0.5513 data_time: 0.4132 memory: 1829 2022/08/09 01:11:13 - mmengine - INFO - Epoch(val) [25][120/155] eta: 0:00:16 time: 0.4740 data_time: 0.3348 memory: 1829 2022/08/09 01:11:25 - mmengine - INFO - Epoch(val) [25][140/155] eta: 0:00:09 time: 0.6079 data_time: 0.4693 memory: 1829 2022/08/09 01:11:41 - mmengine - INFO - Epoch(val) [25][155/155] acc/top1: 0.6207 acc/top5: 0.8440 acc/mean1: 0.6205 2022/08/09 01:11:42 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_22.pth is removed 2022/08/09 01:11:43 - mmengine - INFO - The best checkpoint with 0.6207 acc/top1 at 26 epoch is saved to best_acc/top1_epoch_26.pth. 2022/08/09 01:12:00 - mmengine - INFO - Epoch(train) [26][20/1879] lr: 2.0000e-03 eta: 7:54:21 time: 0.8285 data_time: 0.2500 memory: 13723 grad_norm: 3.6552 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3549 loss: 1.3549 2022/08/09 01:12:02 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 01:12:12 - mmengine - INFO - Epoch(train) [26][40/1879] lr: 2.0000e-03 eta: 7:54:09 time: 0.6045 data_time: 0.0210 memory: 13723 grad_norm: 3.5839 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3660 loss: 1.3660 2022/08/09 01:12:25 - mmengine - INFO - Epoch(train) [26][60/1879] lr: 2.0000e-03 eta: 7:53:58 time: 0.6507 data_time: 0.0233 memory: 13723 grad_norm: 3.5009 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2238 loss: 1.2238 2022/08/09 01:12:36 - mmengine - INFO - Epoch(train) [26][80/1879] lr: 2.0000e-03 eta: 7:53:45 time: 0.5819 data_time: 0.0228 memory: 13723 grad_norm: 3.4519 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2270 loss: 1.2270 2022/08/09 01:12:48 - mmengine - INFO - Epoch(train) [26][100/1879] lr: 2.0000e-03 eta: 7:53:33 time: 0.5904 data_time: 0.0221 memory: 13723 grad_norm: 3.6237 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1169 loss: 1.1169 2022/08/09 01:13:00 - mmengine - INFO - Epoch(train) [26][120/1879] lr: 2.0000e-03 eta: 7:53:20 time: 0.5805 data_time: 0.0235 memory: 13723 grad_norm: 3.4659 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.5039 loss: 1.5039 2022/08/09 01:13:12 - mmengine - INFO - Epoch(train) [26][140/1879] lr: 2.0000e-03 eta: 7:53:08 time: 0.6176 data_time: 0.0271 memory: 13723 grad_norm: 3.4079 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3493 loss: 1.3493 2022/08/09 01:13:25 - mmengine - INFO - Epoch(train) [26][160/1879] lr: 2.0000e-03 eta: 7:52:57 time: 0.6465 data_time: 0.0204 memory: 13723 grad_norm: 3.5026 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3483 loss: 1.3483 2022/08/09 01:13:38 - mmengine - INFO - Epoch(train) [26][180/1879] lr: 2.0000e-03 eta: 7:52:46 time: 0.6566 data_time: 0.0218 memory: 13723 grad_norm: 3.3506 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2251 loss: 1.2251 2022/08/09 01:13:50 - mmengine - INFO - Epoch(train) [26][200/1879] lr: 2.0000e-03 eta: 7:52:33 time: 0.5724 data_time: 0.0239 memory: 13723 grad_norm: 3.4685 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3941 loss: 1.3941 2022/08/09 01:14:03 - mmengine - INFO - Epoch(train) [26][220/1879] lr: 2.0000e-03 eta: 7:52:22 time: 0.6528 data_time: 0.0243 memory: 13723 grad_norm: 3.5478 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1697 loss: 1.1697 2022/08/09 01:14:14 - mmengine - INFO - Epoch(train) [26][240/1879] lr: 2.0000e-03 eta: 7:52:09 time: 0.5808 data_time: 0.0231 memory: 13723 grad_norm: 3.5306 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2887 loss: 1.2887 2022/08/09 01:14:27 - mmengine - INFO - Epoch(train) [26][260/1879] lr: 2.0000e-03 eta: 7:51:57 time: 0.6216 data_time: 0.0255 memory: 13723 grad_norm: 3.4648 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2605 loss: 1.2605 2022/08/09 01:14:38 - mmengine - INFO - Epoch(train) [26][280/1879] lr: 2.0000e-03 eta: 7:51:45 time: 0.5815 data_time: 0.0234 memory: 13723 grad_norm: 3.4489 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2349 loss: 1.2349 2022/08/09 01:14:52 - mmengine - INFO - Epoch(train) [26][300/1879] lr: 2.0000e-03 eta: 7:51:34 time: 0.6607 data_time: 0.0218 memory: 13723 grad_norm: 3.4549 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2934 loss: 1.2934 2022/08/09 01:15:03 - mmengine - INFO - Epoch(train) [26][320/1879] lr: 2.0000e-03 eta: 7:51:21 time: 0.5803 data_time: 0.0241 memory: 13723 grad_norm: 3.4419 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3412 loss: 1.3412 2022/08/09 01:15:20 - mmengine - INFO - Epoch(train) [26][340/1879] lr: 2.0000e-03 eta: 7:51:14 time: 0.8515 data_time: 0.0388 memory: 13723 grad_norm: 3.5102 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2439 loss: 1.2439 2022/08/09 01:15:32 - mmengine - INFO - Epoch(train) [26][360/1879] lr: 2.0000e-03 eta: 7:51:01 time: 0.5689 data_time: 0.0245 memory: 13723 grad_norm: 3.4287 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3149 loss: 1.3149 2022/08/09 01:15:44 - mmengine - INFO - Epoch(train) [26][380/1879] lr: 2.0000e-03 eta: 7:50:49 time: 0.6414 data_time: 0.0224 memory: 13723 grad_norm: 3.5187 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0930 loss: 1.0930 2022/08/09 01:15:57 - mmengine - INFO - Epoch(train) [26][400/1879] lr: 2.0000e-03 eta: 7:50:37 time: 0.6105 data_time: 0.0218 memory: 13723 grad_norm: 3.5218 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2698 loss: 1.2698 2022/08/09 01:16:09 - mmengine - INFO - Epoch(train) [26][420/1879] lr: 2.0000e-03 eta: 7:50:25 time: 0.5979 data_time: 0.0215 memory: 13723 grad_norm: 3.6146 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2463 loss: 1.2463 2022/08/09 01:16:20 - mmengine - INFO - Epoch(train) [26][440/1879] lr: 2.0000e-03 eta: 7:50:13 time: 0.5845 data_time: 0.0367 memory: 13723 grad_norm: 3.5253 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2451 loss: 1.2451 2022/08/09 01:16:33 - mmengine - INFO - Epoch(train) [26][460/1879] lr: 2.0000e-03 eta: 7:50:01 time: 0.6386 data_time: 0.0237 memory: 13723 grad_norm: 3.4537 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1166 loss: 1.1166 2022/08/09 01:16:45 - mmengine - INFO - Epoch(train) [26][480/1879] lr: 2.0000e-03 eta: 7:49:49 time: 0.5968 data_time: 0.0212 memory: 13723 grad_norm: 3.5804 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2772 loss: 1.2772 2022/08/09 01:16:57 - mmengine - INFO - Epoch(train) [26][500/1879] lr: 2.0000e-03 eta: 7:49:36 time: 0.5802 data_time: 0.0244 memory: 13723 grad_norm: 3.5332 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.1693 loss: 1.1693 2022/08/09 01:17:08 - mmengine - INFO - Epoch(train) [26][520/1879] lr: 2.0000e-03 eta: 7:49:24 time: 0.5795 data_time: 0.0242 memory: 13723 grad_norm: 3.4539 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2513 loss: 1.2513 2022/08/09 01:17:20 - mmengine - INFO - Epoch(train) [26][540/1879] lr: 2.0000e-03 eta: 7:49:11 time: 0.5843 data_time: 0.0245 memory: 13723 grad_norm: 3.4834 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1609 loss: 1.1609 2022/08/09 01:17:32 - mmengine - INFO - Epoch(train) [26][560/1879] lr: 2.0000e-03 eta: 7:48:58 time: 0.5840 data_time: 0.0242 memory: 13723 grad_norm: 3.5026 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1562 loss: 1.1562 2022/08/09 01:17:44 - mmengine - INFO - Epoch(train) [26][580/1879] lr: 2.0000e-03 eta: 7:48:46 time: 0.5988 data_time: 0.0236 memory: 13723 grad_norm: 3.4383 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0387 loss: 1.0387 2022/08/09 01:17:55 - mmengine - INFO - Epoch(train) [26][600/1879] lr: 2.0000e-03 eta: 7:48:33 time: 0.5791 data_time: 0.0243 memory: 13723 grad_norm: 3.5352 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2530 loss: 1.2530 2022/08/09 01:18:08 - mmengine - INFO - Epoch(train) [26][620/1879] lr: 2.0000e-03 eta: 7:48:22 time: 0.6160 data_time: 0.0238 memory: 13723 grad_norm: 3.4549 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1917 loss: 1.1917 2022/08/09 01:18:21 - mmengine - INFO - Epoch(train) [26][640/1879] lr: 2.0000e-03 eta: 7:48:11 time: 0.6657 data_time: 0.0209 memory: 13723 grad_norm: 3.5732 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1982 loss: 1.1982 2022/08/09 01:18:32 - mmengine - INFO - Epoch(train) [26][660/1879] lr: 2.0000e-03 eta: 7:47:58 time: 0.5721 data_time: 0.0224 memory: 13723 grad_norm: 3.4570 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0462 loss: 1.0462 2022/08/09 01:18:46 - mmengine - INFO - Epoch(train) [26][680/1879] lr: 2.0000e-03 eta: 7:47:47 time: 0.6919 data_time: 0.0224 memory: 13723 grad_norm: 3.6129 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2652 loss: 1.2652 2022/08/09 01:18:58 - mmengine - INFO - Epoch(train) [26][700/1879] lr: 2.0000e-03 eta: 7:47:35 time: 0.5776 data_time: 0.0265 memory: 13723 grad_norm: 3.5946 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3334 loss: 1.3334 2022/08/09 01:19:09 - mmengine - INFO - Epoch(train) [26][720/1879] lr: 2.0000e-03 eta: 7:47:22 time: 0.5867 data_time: 0.0259 memory: 13723 grad_norm: 3.6544 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1192 loss: 1.1192 2022/08/09 01:19:21 - mmengine - INFO - Epoch(train) [26][740/1879] lr: 2.0000e-03 eta: 7:47:10 time: 0.5902 data_time: 0.0242 memory: 13723 grad_norm: 3.5423 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4379 loss: 1.4379 2022/08/09 01:19:34 - mmengine - INFO - Epoch(train) [26][760/1879] lr: 2.0000e-03 eta: 7:46:58 time: 0.6417 data_time: 0.0221 memory: 13723 grad_norm: 3.5254 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4326 loss: 1.4326 2022/08/09 01:19:46 - mmengine - INFO - Epoch(train) [26][780/1879] lr: 2.0000e-03 eta: 7:46:46 time: 0.5881 data_time: 0.0255 memory: 13723 grad_norm: 3.5343 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2330 loss: 1.2330 2022/08/09 01:19:57 - mmengine - INFO - Epoch(train) [26][800/1879] lr: 2.0000e-03 eta: 7:46:33 time: 0.5771 data_time: 0.0240 memory: 13723 grad_norm: 3.4986 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1183 loss: 1.1183 2022/08/09 01:20:13 - mmengine - INFO - Epoch(train) [26][820/1879] lr: 2.0000e-03 eta: 7:46:24 time: 0.7678 data_time: 0.0250 memory: 13723 grad_norm: 3.6197 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1929 loss: 1.1929 2022/08/09 01:20:27 - mmengine - INFO - Epoch(train) [26][840/1879] lr: 2.0000e-03 eta: 7:46:14 time: 0.7131 data_time: 0.0217 memory: 13723 grad_norm: 3.5615 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2313 loss: 1.2313 2022/08/09 01:20:39 - mmengine - INFO - Epoch(train) [26][860/1879] lr: 2.0000e-03 eta: 7:46:02 time: 0.6110 data_time: 0.0247 memory: 13723 grad_norm: 3.6581 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1364 loss: 1.1364 2022/08/09 01:20:51 - mmengine - INFO - Epoch(train) [26][880/1879] lr: 2.0000e-03 eta: 7:45:49 time: 0.5863 data_time: 0.0211 memory: 13723 grad_norm: 3.5182 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1540 loss: 1.1540 2022/08/09 01:21:03 - mmengine - INFO - Epoch(train) [26][900/1879] lr: 2.0000e-03 eta: 7:45:38 time: 0.6182 data_time: 0.0273 memory: 13723 grad_norm: 3.5084 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2483 loss: 1.2483 2022/08/09 01:21:15 - mmengine - INFO - Epoch(train) [26][920/1879] lr: 2.0000e-03 eta: 7:45:25 time: 0.5792 data_time: 0.0240 memory: 13723 grad_norm: 3.5806 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2037 loss: 1.2037 2022/08/09 01:21:27 - mmengine - INFO - Epoch(train) [26][940/1879] lr: 2.0000e-03 eta: 7:45:13 time: 0.6192 data_time: 0.0226 memory: 13723 grad_norm: 3.5643 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1939 loss: 1.1939 2022/08/09 01:21:39 - mmengine - INFO - Epoch(train) [26][960/1879] lr: 2.0000e-03 eta: 7:45:00 time: 0.5803 data_time: 0.0245 memory: 13723 grad_norm: 3.4767 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2004 loss: 1.2004 2022/08/09 01:21:51 - mmengine - INFO - Epoch(train) [26][980/1879] lr: 2.0000e-03 eta: 7:44:48 time: 0.6124 data_time: 0.0234 memory: 13723 grad_norm: 3.4793 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0258 loss: 1.0258 2022/08/09 01:22:03 - mmengine - INFO - Epoch(train) [26][1000/1879] lr: 2.0000e-03 eta: 7:44:36 time: 0.5910 data_time: 0.0240 memory: 13723 grad_norm: 3.5941 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1636 loss: 1.1636 2022/08/09 01:22:16 - mmengine - INFO - Epoch(train) [26][1020/1879] lr: 2.0000e-03 eta: 7:44:24 time: 0.6219 data_time: 0.0233 memory: 13723 grad_norm: 3.6927 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1796 loss: 1.1796 2022/08/09 01:22:19 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 01:22:27 - mmengine - INFO - Epoch(train) [26][1040/1879] lr: 2.0000e-03 eta: 7:44:11 time: 0.5785 data_time: 0.0233 memory: 13723 grad_norm: 3.5751 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1804 loss: 1.1804 2022/08/09 01:22:39 - mmengine - INFO - Epoch(train) [26][1060/1879] lr: 2.0000e-03 eta: 7:43:59 time: 0.6032 data_time: 0.0222 memory: 13723 grad_norm: 3.5608 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1494 loss: 1.1494 2022/08/09 01:22:51 - mmengine - INFO - Epoch(train) [26][1080/1879] lr: 2.0000e-03 eta: 7:43:47 time: 0.5770 data_time: 0.0243 memory: 13723 grad_norm: 3.5253 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1167 loss: 1.1167 2022/08/09 01:23:04 - mmengine - INFO - Epoch(train) [26][1100/1879] lr: 2.0000e-03 eta: 7:43:35 time: 0.6474 data_time: 0.0234 memory: 13723 grad_norm: 3.4983 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2849 loss: 1.2849 2022/08/09 01:23:16 - mmengine - INFO - Epoch(train) [26][1120/1879] lr: 2.0000e-03 eta: 7:43:23 time: 0.6108 data_time: 0.0210 memory: 13723 grad_norm: 3.5199 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1465 loss: 1.1465 2022/08/09 01:23:29 - mmengine - INFO - Epoch(train) [26][1140/1879] lr: 2.0000e-03 eta: 7:43:12 time: 0.6287 data_time: 0.0225 memory: 13723 grad_norm: 3.5568 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2413 loss: 1.2413 2022/08/09 01:23:41 - mmengine - INFO - Epoch(train) [26][1160/1879] lr: 2.0000e-03 eta: 7:43:00 time: 0.6328 data_time: 0.0427 memory: 13723 grad_norm: 3.5711 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2609 loss: 1.2609 2022/08/09 01:23:53 - mmengine - INFO - Epoch(train) [26][1180/1879] lr: 2.0000e-03 eta: 7:42:48 time: 0.5939 data_time: 0.0243 memory: 13723 grad_norm: 3.5500 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1758 loss: 1.1758 2022/08/09 01:24:05 - mmengine - INFO - Epoch(train) [26][1200/1879] lr: 2.0000e-03 eta: 7:42:35 time: 0.5765 data_time: 0.0235 memory: 13723 grad_norm: 3.4796 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1825 loss: 1.1825 2022/08/09 01:24:17 - mmengine - INFO - Epoch(train) [26][1220/1879] lr: 2.0000e-03 eta: 7:42:23 time: 0.6255 data_time: 0.0226 memory: 13723 grad_norm: 3.5194 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1424 loss: 1.1424 2022/08/09 01:24:29 - mmengine - INFO - Epoch(train) [26][1240/1879] lr: 2.0000e-03 eta: 7:42:10 time: 0.5799 data_time: 0.0235 memory: 13723 grad_norm: 3.5718 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1676 loss: 1.1676 2022/08/09 01:24:41 - mmengine - INFO - Epoch(train) [26][1260/1879] lr: 2.0000e-03 eta: 7:41:58 time: 0.5923 data_time: 0.0231 memory: 13723 grad_norm: 3.5532 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2649 loss: 1.2649 2022/08/09 01:24:53 - mmengine - INFO - Epoch(train) [26][1280/1879] lr: 2.0000e-03 eta: 7:41:46 time: 0.6117 data_time: 0.0224 memory: 13723 grad_norm: 3.6393 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2130 loss: 1.2130 2022/08/09 01:25:05 - mmengine - INFO - Epoch(train) [26][1300/1879] lr: 2.0000e-03 eta: 7:41:34 time: 0.5937 data_time: 0.0263 memory: 13723 grad_norm: 3.4684 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1213 loss: 1.1213 2022/08/09 01:25:22 - mmengine - INFO - Epoch(train) [26][1320/1879] lr: 2.0000e-03 eta: 7:41:26 time: 0.8476 data_time: 0.0603 memory: 13723 grad_norm: 3.5182 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0768 loss: 1.0768 2022/08/09 01:25:35 - mmengine - INFO - Epoch(train) [26][1340/1879] lr: 2.0000e-03 eta: 7:41:15 time: 0.6582 data_time: 0.0231 memory: 13723 grad_norm: 3.6227 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2844 loss: 1.2844 2022/08/09 01:25:46 - mmengine - INFO - Epoch(train) [26][1360/1879] lr: 2.0000e-03 eta: 7:41:02 time: 0.5721 data_time: 0.0233 memory: 13723 grad_norm: 3.5071 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0617 loss: 1.0617 2022/08/09 01:26:00 - mmengine - INFO - Epoch(train) [26][1380/1879] lr: 2.0000e-03 eta: 7:40:51 time: 0.6663 data_time: 0.0198 memory: 13723 grad_norm: 3.6064 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2542 loss: 1.2542 2022/08/09 01:26:11 - mmengine - INFO - Epoch(train) [26][1400/1879] lr: 2.0000e-03 eta: 7:40:38 time: 0.5741 data_time: 0.0239 memory: 13723 grad_norm: 3.6301 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2636 loss: 1.2636 2022/08/09 01:26:23 - mmengine - INFO - Epoch(train) [26][1420/1879] lr: 2.0000e-03 eta: 7:40:26 time: 0.5824 data_time: 0.0230 memory: 13723 grad_norm: 3.6682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1711 loss: 1.1711 2022/08/09 01:26:35 - mmengine - INFO - Epoch(train) [26][1440/1879] lr: 2.0000e-03 eta: 7:40:14 time: 0.5955 data_time: 0.0253 memory: 13723 grad_norm: 3.6232 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2002 loss: 1.2002 2022/08/09 01:26:46 - mmengine - INFO - Epoch(train) [26][1460/1879] lr: 2.0000e-03 eta: 7:40:01 time: 0.5788 data_time: 0.0252 memory: 13723 grad_norm: 3.5895 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0818 loss: 1.0818 2022/08/09 01:26:59 - mmengine - INFO - Epoch(train) [26][1480/1879] lr: 2.0000e-03 eta: 7:39:49 time: 0.6214 data_time: 0.0224 memory: 13723 grad_norm: 3.6599 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0753 loss: 1.0753 2022/08/09 01:27:11 - mmengine - INFO - Epoch(train) [26][1500/1879] lr: 2.0000e-03 eta: 7:39:37 time: 0.6247 data_time: 0.0220 memory: 13723 grad_norm: 3.5902 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4166 loss: 1.4166 2022/08/09 01:27:23 - mmengine - INFO - Epoch(train) [26][1520/1879] lr: 2.0000e-03 eta: 7:39:25 time: 0.5735 data_time: 0.0239 memory: 13723 grad_norm: 3.5500 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2119 loss: 1.2119 2022/08/09 01:27:36 - mmengine - INFO - Epoch(train) [26][1540/1879] lr: 2.0000e-03 eta: 7:39:13 time: 0.6519 data_time: 0.0253 memory: 13723 grad_norm: 3.5031 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0928 loss: 1.0928 2022/08/09 01:27:47 - mmengine - INFO - Epoch(train) [26][1560/1879] lr: 2.0000e-03 eta: 7:39:00 time: 0.5688 data_time: 0.0231 memory: 13723 grad_norm: 3.5392 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2940 loss: 1.2940 2022/08/09 01:27:59 - mmengine - INFO - Epoch(train) [26][1580/1879] lr: 2.0000e-03 eta: 7:38:48 time: 0.5768 data_time: 0.0230 memory: 13723 grad_norm: 3.5565 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2024 loss: 1.2024 2022/08/09 01:28:11 - mmengine - INFO - Epoch(train) [26][1600/1879] lr: 2.0000e-03 eta: 7:38:36 time: 0.6055 data_time: 0.0240 memory: 13723 grad_norm: 3.6009 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2578 loss: 1.2578 2022/08/09 01:28:24 - mmengine - INFO - Epoch(train) [26][1620/1879] lr: 2.0000e-03 eta: 7:38:25 time: 0.6670 data_time: 0.0209 memory: 13723 grad_norm: 3.6062 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1187 loss: 1.1187 2022/08/09 01:28:37 - mmengine - INFO - Epoch(train) [26][1640/1879] lr: 2.0000e-03 eta: 7:38:13 time: 0.6579 data_time: 0.0231 memory: 13723 grad_norm: 3.5660 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1210 loss: 1.1210 2022/08/09 01:28:49 - mmengine - INFO - Epoch(train) [26][1660/1879] lr: 2.0000e-03 eta: 7:38:01 time: 0.5915 data_time: 0.0355 memory: 13723 grad_norm: 3.5588 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1840 loss: 1.1840 2022/08/09 01:29:01 - mmengine - INFO - Epoch(train) [26][1680/1879] lr: 2.0000e-03 eta: 7:37:48 time: 0.5787 data_time: 0.0236 memory: 13723 grad_norm: 3.5937 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1508 loss: 1.1508 2022/08/09 01:29:12 - mmengine - INFO - Epoch(train) [26][1700/1879] lr: 2.0000e-03 eta: 7:37:36 time: 0.5851 data_time: 0.0248 memory: 13723 grad_norm: 3.5869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1631 loss: 1.1631 2022/08/09 01:29:26 - mmengine - INFO - Epoch(train) [26][1720/1879] lr: 2.0000e-03 eta: 7:37:25 time: 0.6620 data_time: 0.0214 memory: 13723 grad_norm: 3.5404 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2198 loss: 1.2198 2022/08/09 01:29:38 - mmengine - INFO - Epoch(train) [26][1740/1879] lr: 2.0000e-03 eta: 7:37:12 time: 0.5985 data_time: 0.0230 memory: 13723 grad_norm: 3.6651 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1437 loss: 1.1437 2022/08/09 01:29:50 - mmengine - INFO - Epoch(train) [26][1760/1879] lr: 2.0000e-03 eta: 7:37:01 time: 0.6306 data_time: 0.0230 memory: 13723 grad_norm: 3.6255 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1108 loss: 1.1108 2022/08/09 01:30:03 - mmengine - INFO - Epoch(train) [26][1780/1879] lr: 2.0000e-03 eta: 7:36:49 time: 0.6277 data_time: 0.0269 memory: 13723 grad_norm: 3.6023 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3121 loss: 1.3121 2022/08/09 01:30:16 - mmengine - INFO - Epoch(train) [26][1800/1879] lr: 2.0000e-03 eta: 7:36:38 time: 0.6528 data_time: 0.0448 memory: 13723 grad_norm: 3.4963 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1184 loss: 1.1184 2022/08/09 01:30:29 - mmengine - INFO - Epoch(train) [26][1820/1879] lr: 2.0000e-03 eta: 7:36:26 time: 0.6300 data_time: 0.0249 memory: 13723 grad_norm: 3.6327 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0616 loss: 1.0616 2022/08/09 01:30:40 - mmengine - INFO - Epoch(train) [26][1840/1879] lr: 2.0000e-03 eta: 7:36:14 time: 0.5988 data_time: 0.0225 memory: 13723 grad_norm: 3.5993 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0654 loss: 1.0654 2022/08/09 01:30:52 - mmengine - INFO - Epoch(train) [26][1860/1879] lr: 2.0000e-03 eta: 7:36:01 time: 0.5744 data_time: 0.0254 memory: 13723 grad_norm: 3.6750 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1823 loss: 1.1823 2022/08/09 01:31:03 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 01:31:03 - mmengine - INFO - Epoch(train) [26][1879/1879] lr: 2.0000e-03 eta: 7:36:01 time: 0.5697 data_time: 0.0214 memory: 13723 grad_norm: 3.6904 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.1812 loss: 1.1812 2022/08/09 01:31:16 - mmengine - INFO - Epoch(val) [26][20/155] eta: 0:01:27 time: 0.6494 data_time: 0.5089 memory: 1829 2022/08/09 01:31:25 - mmengine - INFO - Epoch(val) [26][40/155] eta: 0:00:52 time: 0.4539 data_time: 0.3145 memory: 1829 2022/08/09 01:31:37 - mmengine - INFO - Epoch(val) [26][60/155] eta: 0:00:56 time: 0.5899 data_time: 0.4507 memory: 1829 2022/08/09 01:31:45 - mmengine - INFO - Epoch(val) [26][80/155] eta: 0:00:31 time: 0.4216 data_time: 0.2835 memory: 1829 2022/08/09 01:31:57 - mmengine - INFO - Epoch(val) [26][100/155] eta: 0:00:31 time: 0.5817 data_time: 0.4426 memory: 1829 2022/08/09 01:32:05 - mmengine - INFO - Epoch(val) [26][120/155] eta: 0:00:14 time: 0.4126 data_time: 0.2741 memory: 1829 2022/08/09 01:32:17 - mmengine - INFO - Epoch(val) [26][140/155] eta: 0:00:08 time: 0.5924 data_time: 0.4544 memory: 1829 2022/08/09 01:32:38 - mmengine - INFO - Epoch(val) [26][155/155] acc/top1: 0.6925 acc/top5: 0.8860 acc/mean1: 0.6923 2022/08/09 01:32:38 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_26.pth is removed 2022/08/09 01:32:39 - mmengine - INFO - The best checkpoint with 0.6925 acc/top1 at 27 epoch is saved to best_acc/top1_epoch_27.pth. 2022/08/09 01:32:56 - mmengine - INFO - Epoch(train) [27][20/1879] lr: 2.0000e-03 eta: 7:35:31 time: 0.8589 data_time: 0.2210 memory: 13723 grad_norm: 3.5936 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1492 loss: 1.1492 2022/08/09 01:33:08 - mmengine - INFO - Epoch(train) [27][40/1879] lr: 2.0000e-03 eta: 7:35:19 time: 0.5912 data_time: 0.0224 memory: 13723 grad_norm: 3.6851 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1051 loss: 1.1051 2022/08/09 01:33:20 - mmengine - INFO - Epoch(train) [27][60/1879] lr: 2.0000e-03 eta: 7:35:07 time: 0.6060 data_time: 0.0268 memory: 13723 grad_norm: 3.5155 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9899 loss: 0.9899 2022/08/09 01:33:31 - mmengine - INFO - Epoch(train) [27][80/1879] lr: 2.0000e-03 eta: 7:34:54 time: 0.5793 data_time: 0.0228 memory: 13723 grad_norm: 3.6055 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1182 loss: 1.1182 2022/08/09 01:33:43 - mmengine - INFO - Epoch(train) [27][100/1879] lr: 2.0000e-03 eta: 7:34:42 time: 0.5833 data_time: 0.0248 memory: 13723 grad_norm: 3.6684 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1158 loss: 1.1158 2022/08/09 01:33:55 - mmengine - INFO - Epoch(train) [27][120/1879] lr: 2.0000e-03 eta: 7:34:29 time: 0.5904 data_time: 0.0236 memory: 13723 grad_norm: 3.5063 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0639 loss: 1.0639 2022/08/09 01:34:07 - mmengine - INFO - Epoch(train) [27][140/1879] lr: 2.0000e-03 eta: 7:34:17 time: 0.5795 data_time: 0.0244 memory: 13723 grad_norm: 3.5754 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0974 loss: 1.0974 2022/08/09 01:34:11 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 01:34:19 - mmengine - INFO - Epoch(train) [27][160/1879] lr: 2.0000e-03 eta: 7:34:05 time: 0.6051 data_time: 0.0232 memory: 13723 grad_norm: 3.5989 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0356 loss: 1.0356 2022/08/09 01:34:30 - mmengine - INFO - Epoch(train) [27][180/1879] lr: 2.0000e-03 eta: 7:33:52 time: 0.5750 data_time: 0.0234 memory: 13723 grad_norm: 3.5178 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0302 loss: 1.0302 2022/08/09 01:34:43 - mmengine - INFO - Epoch(train) [27][200/1879] lr: 2.0000e-03 eta: 7:33:40 time: 0.6388 data_time: 0.0223 memory: 13723 grad_norm: 3.6981 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1840 loss: 1.1840 2022/08/09 01:34:58 - mmengine - INFO - Epoch(train) [27][220/1879] lr: 2.0000e-03 eta: 7:33:31 time: 0.7373 data_time: 0.0208 memory: 13723 grad_norm: 3.5333 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1271 loss: 1.1271 2022/08/09 01:35:14 - mmengine - INFO - Epoch(train) [27][240/1879] lr: 2.0000e-03 eta: 7:33:22 time: 0.8069 data_time: 0.0227 memory: 13723 grad_norm: 3.6008 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1554 loss: 1.1554 2022/08/09 01:35:25 - mmengine - INFO - Epoch(train) [27][260/1879] lr: 2.0000e-03 eta: 7:33:09 time: 0.5764 data_time: 0.0249 memory: 13723 grad_norm: 3.6222 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0922 loss: 1.0922 2022/08/09 01:35:37 - mmengine - INFO - Epoch(train) [27][280/1879] lr: 2.0000e-03 eta: 7:32:57 time: 0.5971 data_time: 0.0238 memory: 13723 grad_norm: 3.6149 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1688 loss: 1.1688 2022/08/09 01:35:49 - mmengine - INFO - Epoch(train) [27][300/1879] lr: 2.0000e-03 eta: 7:32:45 time: 0.5857 data_time: 0.0235 memory: 13723 grad_norm: 3.6274 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2036 loss: 1.2036 2022/08/09 01:36:01 - mmengine - INFO - Epoch(train) [27][320/1879] lr: 2.0000e-03 eta: 7:32:32 time: 0.5826 data_time: 0.0238 memory: 13723 grad_norm: 3.5888 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2066 loss: 1.2066 2022/08/09 01:36:14 - mmengine - INFO - Epoch(train) [27][340/1879] lr: 2.0000e-03 eta: 7:32:21 time: 0.6613 data_time: 0.0225 memory: 13723 grad_norm: 3.5597 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1957 loss: 1.1957 2022/08/09 01:36:26 - mmengine - INFO - Epoch(train) [27][360/1879] lr: 2.0000e-03 eta: 7:32:09 time: 0.6162 data_time: 0.0254 memory: 13723 grad_norm: 3.4926 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1754 loss: 1.1754 2022/08/09 01:36:38 - mmengine - INFO - Epoch(train) [27][380/1879] lr: 2.0000e-03 eta: 7:31:56 time: 0.5775 data_time: 0.0237 memory: 13723 grad_norm: 3.5528 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1034 loss: 1.1034 2022/08/09 01:36:50 - mmengine - INFO - Epoch(train) [27][400/1879] lr: 2.0000e-03 eta: 7:31:44 time: 0.6010 data_time: 0.0225 memory: 13723 grad_norm: 3.7015 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1334 loss: 1.1334 2022/08/09 01:37:02 - mmengine - INFO - Epoch(train) [27][420/1879] lr: 2.0000e-03 eta: 7:31:32 time: 0.6209 data_time: 0.0230 memory: 13723 grad_norm: 3.6430 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1244 loss: 1.1244 2022/08/09 01:37:14 - mmengine - INFO - Epoch(train) [27][440/1879] lr: 2.0000e-03 eta: 7:31:20 time: 0.5925 data_time: 0.0435 memory: 13723 grad_norm: 3.7445 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2639 loss: 1.2639 2022/08/09 01:37:26 - mmengine - INFO - Epoch(train) [27][460/1879] lr: 2.0000e-03 eta: 7:31:07 time: 0.5762 data_time: 0.0275 memory: 13723 grad_norm: 3.6779 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3318 loss: 1.3318 2022/08/09 01:37:37 - mmengine - INFO - Epoch(train) [27][480/1879] lr: 2.0000e-03 eta: 7:30:55 time: 0.5821 data_time: 0.0243 memory: 13723 grad_norm: 3.5171 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9432 loss: 0.9432 2022/08/09 01:37:50 - mmengine - INFO - Epoch(train) [27][500/1879] lr: 2.0000e-03 eta: 7:30:43 time: 0.6148 data_time: 0.0231 memory: 13723 grad_norm: 3.6296 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0782 loss: 1.0782 2022/08/09 01:38:01 - mmengine - INFO - Epoch(train) [27][520/1879] lr: 2.0000e-03 eta: 7:30:30 time: 0.5850 data_time: 0.0265 memory: 13723 grad_norm: 3.6910 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9882 loss: 0.9882 2022/08/09 01:38:13 - mmengine - INFO - Epoch(train) [27][540/1879] lr: 2.0000e-03 eta: 7:30:17 time: 0.5745 data_time: 0.0243 memory: 13723 grad_norm: 3.5858 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2154 loss: 1.2154 2022/08/09 01:38:24 - mmengine - INFO - Epoch(train) [27][560/1879] lr: 2.0000e-03 eta: 7:30:05 time: 0.5821 data_time: 0.0247 memory: 13723 grad_norm: 3.6523 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2013 loss: 1.2013 2022/08/09 01:38:36 - mmengine - INFO - Epoch(train) [27][580/1879] lr: 2.0000e-03 eta: 7:29:52 time: 0.5807 data_time: 0.0240 memory: 13723 grad_norm: 3.7090 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4056 loss: 1.4056 2022/08/09 01:38:48 - mmengine - INFO - Epoch(train) [27][600/1879] lr: 2.0000e-03 eta: 7:29:40 time: 0.6127 data_time: 0.0261 memory: 13723 grad_norm: 3.6587 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1093 loss: 1.1093 2022/08/09 01:39:00 - mmengine - INFO - Epoch(train) [27][620/1879] lr: 2.0000e-03 eta: 7:29:28 time: 0.5729 data_time: 0.0255 memory: 13723 grad_norm: 3.5915 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1040 loss: 1.1040 2022/08/09 01:39:11 - mmengine - INFO - Epoch(train) [27][640/1879] lr: 2.0000e-03 eta: 7:29:15 time: 0.5786 data_time: 0.0240 memory: 13723 grad_norm: 3.7374 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.1946 loss: 1.1946 2022/08/09 01:39:23 - mmengine - INFO - Epoch(train) [27][660/1879] lr: 2.0000e-03 eta: 7:29:03 time: 0.6006 data_time: 0.0239 memory: 13723 grad_norm: 3.5290 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1652 loss: 1.1652 2022/08/09 01:39:35 - mmengine - INFO - Epoch(train) [27][680/1879] lr: 2.0000e-03 eta: 7:28:50 time: 0.5945 data_time: 0.0224 memory: 13723 grad_norm: 3.7044 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2066 loss: 1.2066 2022/08/09 01:39:47 - mmengine - INFO - Epoch(train) [27][700/1879] lr: 2.0000e-03 eta: 7:28:38 time: 0.5807 data_time: 0.0228 memory: 13723 grad_norm: 3.6531 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2193 loss: 1.2193 2022/08/09 01:39:58 - mmengine - INFO - Epoch(train) [27][720/1879] lr: 2.0000e-03 eta: 7:28:25 time: 0.5758 data_time: 0.0236 memory: 13723 grad_norm: 3.6543 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1464 loss: 1.1464 2022/08/09 01:40:10 - mmengine - INFO - Epoch(train) [27][740/1879] lr: 2.0000e-03 eta: 7:28:13 time: 0.5865 data_time: 0.0223 memory: 13723 grad_norm: 3.6115 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0612 loss: 1.0612 2022/08/09 01:40:24 - mmengine - INFO - Epoch(train) [27][760/1879] lr: 2.0000e-03 eta: 7:28:02 time: 0.6833 data_time: 0.0258 memory: 13723 grad_norm: 3.6524 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0876 loss: 1.0876 2022/08/09 01:40:36 - mmengine - INFO - Epoch(train) [27][780/1879] lr: 2.0000e-03 eta: 7:27:49 time: 0.5926 data_time: 0.0227 memory: 13723 grad_norm: 3.5858 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2030 loss: 1.2030 2022/08/09 01:40:48 - mmengine - INFO - Epoch(train) [27][800/1879] lr: 2.0000e-03 eta: 7:27:37 time: 0.5916 data_time: 0.0242 memory: 13723 grad_norm: 3.7528 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3052 loss: 1.3052 2022/08/09 01:40:59 - mmengine - INFO - Epoch(train) [27][820/1879] lr: 2.0000e-03 eta: 7:27:25 time: 0.5920 data_time: 0.0249 memory: 13723 grad_norm: 3.8108 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0874 loss: 1.0874 2022/08/09 01:41:11 - mmengine - INFO - Epoch(train) [27][840/1879] lr: 2.0000e-03 eta: 7:27:12 time: 0.5784 data_time: 0.0235 memory: 13723 grad_norm: 3.5755 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0312 loss: 1.0312 2022/08/09 01:41:22 - mmengine - INFO - Epoch(train) [27][860/1879] lr: 2.0000e-03 eta: 7:26:59 time: 0.5736 data_time: 0.0261 memory: 13723 grad_norm: 3.6352 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1536 loss: 1.1536 2022/08/09 01:41:34 - mmengine - INFO - Epoch(train) [27][880/1879] lr: 2.0000e-03 eta: 7:26:47 time: 0.5772 data_time: 0.0245 memory: 13723 grad_norm: 3.6348 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9622 loss: 0.9622 2022/08/09 01:41:46 - mmengine - INFO - Epoch(train) [27][900/1879] lr: 2.0000e-03 eta: 7:26:34 time: 0.5800 data_time: 0.0251 memory: 13723 grad_norm: 3.5566 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0947 loss: 1.0947 2022/08/09 01:41:57 - mmengine - INFO - Epoch(train) [27][920/1879] lr: 2.0000e-03 eta: 7:26:21 time: 0.5767 data_time: 0.0245 memory: 13723 grad_norm: 3.5500 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9686 loss: 0.9686 2022/08/09 01:42:09 - mmengine - INFO - Epoch(train) [27][940/1879] lr: 2.0000e-03 eta: 7:26:09 time: 0.5812 data_time: 0.0239 memory: 13723 grad_norm: 3.7296 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2228 loss: 1.2228 2022/08/09 01:42:21 - mmengine - INFO - Epoch(train) [27][960/1879] lr: 2.0000e-03 eta: 7:25:56 time: 0.5878 data_time: 0.0247 memory: 13723 grad_norm: 3.5732 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0765 loss: 1.0765 2022/08/09 01:42:32 - mmengine - INFO - Epoch(train) [27][980/1879] lr: 2.0000e-03 eta: 7:25:44 time: 0.5792 data_time: 0.0279 memory: 13723 grad_norm: 3.6163 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0562 loss: 1.0562 2022/08/09 01:42:44 - mmengine - INFO - Epoch(train) [27][1000/1879] lr: 2.0000e-03 eta: 7:25:31 time: 0.5726 data_time: 0.0255 memory: 13723 grad_norm: 3.6624 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2881 loss: 1.2881 2022/08/09 01:42:55 - mmengine - INFO - Epoch(train) [27][1020/1879] lr: 2.0000e-03 eta: 7:25:18 time: 0.5724 data_time: 0.0239 memory: 13723 grad_norm: 3.6402 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1956 loss: 1.1956 2022/08/09 01:43:07 - mmengine - INFO - Epoch(train) [27][1040/1879] lr: 2.0000e-03 eta: 7:25:06 time: 0.6152 data_time: 0.0237 memory: 13723 grad_norm: 3.6870 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2263 loss: 1.2263 2022/08/09 01:43:19 - mmengine - INFO - Epoch(train) [27][1060/1879] lr: 2.0000e-03 eta: 7:24:54 time: 0.5928 data_time: 0.0238 memory: 13723 grad_norm: 3.6290 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1601 loss: 1.1601 2022/08/09 01:43:31 - mmengine - INFO - Epoch(train) [27][1080/1879] lr: 2.0000e-03 eta: 7:24:41 time: 0.5694 data_time: 0.0249 memory: 13723 grad_norm: 3.5801 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0183 loss: 1.0183 2022/08/09 01:43:42 - mmengine - INFO - Epoch(train) [27][1100/1879] lr: 2.0000e-03 eta: 7:24:29 time: 0.5748 data_time: 0.0246 memory: 13723 grad_norm: 3.5676 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3982 loss: 1.3982 2022/08/09 01:43:54 - mmengine - INFO - Epoch(train) [27][1120/1879] lr: 2.0000e-03 eta: 7:24:16 time: 0.5809 data_time: 0.0243 memory: 13723 grad_norm: 3.6303 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1506 loss: 1.1506 2022/08/09 01:44:05 - mmengine - INFO - Epoch(train) [27][1140/1879] lr: 2.0000e-03 eta: 7:24:03 time: 0.5712 data_time: 0.0262 memory: 13723 grad_norm: 3.7754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1194 loss: 1.1194 2022/08/09 01:44:09 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 01:44:17 - mmengine - INFO - Epoch(train) [27][1160/1879] lr: 2.0000e-03 eta: 7:23:51 time: 0.5822 data_time: 0.0265 memory: 13723 grad_norm: 3.6336 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1123 loss: 1.1123 2022/08/09 01:44:28 - mmengine - INFO - Epoch(train) [27][1180/1879] lr: 2.0000e-03 eta: 7:23:38 time: 0.5793 data_time: 0.0247 memory: 13723 grad_norm: 3.6536 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8902 loss: 0.8902 2022/08/09 01:44:40 - mmengine - INFO - Epoch(train) [27][1200/1879] lr: 2.0000e-03 eta: 7:23:26 time: 0.5778 data_time: 0.0250 memory: 13723 grad_norm: 3.6639 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0512 loss: 1.0512 2022/08/09 01:44:52 - mmengine - INFO - Epoch(train) [27][1220/1879] lr: 2.0000e-03 eta: 7:23:13 time: 0.5795 data_time: 0.0245 memory: 13723 grad_norm: 3.6739 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9844 loss: 0.9844 2022/08/09 01:45:03 - mmengine - INFO - Epoch(train) [27][1240/1879] lr: 2.0000e-03 eta: 7:23:00 time: 0.5789 data_time: 0.0238 memory: 13723 grad_norm: 3.5773 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9983 loss: 0.9983 2022/08/09 01:45:16 - mmengine - INFO - Epoch(train) [27][1260/1879] lr: 2.0000e-03 eta: 7:22:49 time: 0.6213 data_time: 0.0418 memory: 13723 grad_norm: 3.5578 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2855 loss: 1.2855 2022/08/09 01:45:29 - mmengine - INFO - Epoch(train) [27][1280/1879] lr: 2.0000e-03 eta: 7:22:37 time: 0.6540 data_time: 0.0417 memory: 13723 grad_norm: 3.7811 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0462 loss: 1.0462 2022/08/09 01:45:41 - mmengine - INFO - Epoch(train) [27][1300/1879] lr: 2.0000e-03 eta: 7:22:25 time: 0.5887 data_time: 0.0255 memory: 13723 grad_norm: 3.5296 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9002 loss: 0.9002 2022/08/09 01:45:52 - mmengine - INFO - Epoch(train) [27][1320/1879] lr: 2.0000e-03 eta: 7:22:12 time: 0.5808 data_time: 0.0233 memory: 13723 grad_norm: 3.5892 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1345 loss: 1.1345 2022/08/09 01:46:04 - mmengine - INFO - Epoch(train) [27][1340/1879] lr: 2.0000e-03 eta: 7:22:00 time: 0.5793 data_time: 0.0261 memory: 13723 grad_norm: 3.6249 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0520 loss: 1.0520 2022/08/09 01:46:15 - mmengine - INFO - Epoch(train) [27][1360/1879] lr: 2.0000e-03 eta: 7:21:47 time: 0.5729 data_time: 0.0251 memory: 13723 grad_norm: 3.6463 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.1702 loss: 1.1702 2022/08/09 01:46:27 - mmengine - INFO - Epoch(train) [27][1380/1879] lr: 2.0000e-03 eta: 7:21:34 time: 0.5796 data_time: 0.0240 memory: 13723 grad_norm: 3.6764 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.0104 loss: 1.0104 2022/08/09 01:46:38 - mmengine - INFO - Epoch(train) [27][1400/1879] lr: 2.0000e-03 eta: 7:21:22 time: 0.5752 data_time: 0.0258 memory: 13723 grad_norm: 3.6622 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1079 loss: 1.1079 2022/08/09 01:46:50 - mmengine - INFO - Epoch(train) [27][1420/1879] lr: 2.0000e-03 eta: 7:21:09 time: 0.5788 data_time: 0.0241 memory: 13723 grad_norm: 3.6721 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9726 loss: 0.9726 2022/08/09 01:47:02 - mmengine - INFO - Epoch(train) [27][1440/1879] lr: 2.0000e-03 eta: 7:20:57 time: 0.5843 data_time: 0.0248 memory: 13723 grad_norm: 3.6473 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9923 loss: 0.9923 2022/08/09 01:47:14 - mmengine - INFO - Epoch(train) [27][1460/1879] lr: 2.0000e-03 eta: 7:20:45 time: 0.6300 data_time: 0.0247 memory: 13723 grad_norm: 3.6351 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1368 loss: 1.1368 2022/08/09 01:47:26 - mmengine - INFO - Epoch(train) [27][1480/1879] lr: 2.0000e-03 eta: 7:20:32 time: 0.5788 data_time: 0.0235 memory: 13723 grad_norm: 3.5936 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9711 loss: 0.9711 2022/08/09 01:47:39 - mmengine - INFO - Epoch(train) [27][1500/1879] lr: 2.0000e-03 eta: 7:20:21 time: 0.6292 data_time: 0.0243 memory: 13723 grad_norm: 3.7084 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1403 loss: 1.1403 2022/08/09 01:47:50 - mmengine - INFO - Epoch(train) [27][1520/1879] lr: 2.0000e-03 eta: 7:20:08 time: 0.5826 data_time: 0.0367 memory: 13723 grad_norm: 3.6108 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1715 loss: 1.1715 2022/08/09 01:48:01 - mmengine - INFO - Epoch(train) [27][1540/1879] lr: 2.0000e-03 eta: 7:19:55 time: 0.5699 data_time: 0.0250 memory: 13723 grad_norm: 3.6244 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1692 loss: 1.1692 2022/08/09 01:48:13 - mmengine - INFO - Epoch(train) [27][1560/1879] lr: 2.0000e-03 eta: 7:19:43 time: 0.5822 data_time: 0.0257 memory: 13723 grad_norm: 3.6561 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0918 loss: 1.0918 2022/08/09 01:48:25 - mmengine - INFO - Epoch(train) [27][1580/1879] lr: 2.0000e-03 eta: 7:19:30 time: 0.5924 data_time: 0.0221 memory: 13723 grad_norm: 3.6539 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0040 loss: 1.0040 2022/08/09 01:48:51 - mmengine - INFO - Epoch(train) [27][1600/1879] lr: 2.0000e-03 eta: 7:19:30 time: 1.3102 data_time: 0.0219 memory: 13723 grad_norm: 3.6974 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2274 loss: 1.2274 2022/08/09 01:49:03 - mmengine - INFO - Epoch(train) [27][1620/1879] lr: 2.0000e-03 eta: 7:19:18 time: 0.5923 data_time: 0.0508 memory: 13723 grad_norm: 3.7094 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1242 loss: 1.1242 2022/08/09 01:49:14 - mmengine - INFO - Epoch(train) [27][1640/1879] lr: 2.0000e-03 eta: 7:19:05 time: 0.5730 data_time: 0.0240 memory: 13723 grad_norm: 3.4666 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0370 loss: 1.0370 2022/08/09 01:49:26 - mmengine - INFO - Epoch(train) [27][1660/1879] lr: 2.0000e-03 eta: 7:18:53 time: 0.5751 data_time: 0.0262 memory: 13723 grad_norm: 3.6917 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1738 loss: 1.1738 2022/08/09 01:49:38 - mmengine - INFO - Epoch(train) [27][1680/1879] lr: 2.0000e-03 eta: 7:18:40 time: 0.5861 data_time: 0.0233 memory: 13723 grad_norm: 3.7136 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2131 loss: 1.2131 2022/08/09 01:49:51 - mmengine - INFO - Epoch(train) [27][1700/1879] lr: 2.0000e-03 eta: 7:18:29 time: 0.6557 data_time: 0.0221 memory: 13723 grad_norm: 3.6859 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9376 loss: 0.9376 2022/08/09 01:50:03 - mmengine - INFO - Epoch(train) [27][1720/1879] lr: 2.0000e-03 eta: 7:18:17 time: 0.5840 data_time: 0.0230 memory: 13723 grad_norm: 3.5179 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1005 loss: 1.1005 2022/08/09 01:50:20 - mmengine - INFO - Epoch(train) [27][1740/1879] lr: 2.0000e-03 eta: 7:18:09 time: 0.8515 data_time: 0.0615 memory: 13723 grad_norm: 3.7336 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2072 loss: 1.2072 2022/08/09 01:50:32 - mmengine - INFO - Epoch(train) [27][1760/1879] lr: 2.0000e-03 eta: 7:17:57 time: 0.6338 data_time: 0.0230 memory: 13723 grad_norm: 3.6366 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9377 loss: 0.9377 2022/08/09 01:50:46 - mmengine - INFO - Epoch(train) [27][1780/1879] lr: 2.0000e-03 eta: 7:17:46 time: 0.6691 data_time: 0.0213 memory: 13723 grad_norm: 3.7681 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1070 loss: 1.1070 2022/08/09 01:50:57 - mmengine - INFO - Epoch(train) [27][1800/1879] lr: 2.0000e-03 eta: 7:17:33 time: 0.5715 data_time: 0.0245 memory: 13723 grad_norm: 3.6999 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2762 loss: 1.2762 2022/08/09 01:51:08 - mmengine - INFO - Epoch(train) [27][1820/1879] lr: 2.0000e-03 eta: 7:17:20 time: 0.5698 data_time: 0.0241 memory: 13723 grad_norm: 3.7197 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1146 loss: 1.1146 2022/08/09 01:51:20 - mmengine - INFO - Epoch(train) [27][1840/1879] lr: 2.0000e-03 eta: 7:17:08 time: 0.5760 data_time: 0.0243 memory: 13723 grad_norm: 3.7473 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.1610 loss: 1.1610 2022/08/09 01:51:32 - mmengine - INFO - Epoch(train) [27][1860/1879] lr: 2.0000e-03 eta: 7:16:55 time: 0.5908 data_time: 0.0253 memory: 13723 grad_norm: 3.7510 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1748 loss: 1.1748 2022/08/09 01:51:43 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 01:51:43 - mmengine - INFO - Epoch(train) [27][1879/1879] lr: 2.0000e-03 eta: 7:16:55 time: 0.5913 data_time: 0.0157 memory: 13723 grad_norm: 3.7498 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.1829 loss: 1.1829 2022/08/09 01:51:43 - mmengine - INFO - Saving checkpoint at 27 epochs 2022/08/09 01:51:58 - mmengine - INFO - Epoch(val) [27][20/155] eta: 0:01:28 time: 0.6538 data_time: 0.5139 memory: 1829 2022/08/09 01:52:07 - mmengine - INFO - Epoch(val) [27][40/155] eta: 0:00:52 time: 0.4564 data_time: 0.3144 memory: 1829 2022/08/09 01:52:19 - mmengine - INFO - Epoch(val) [27][60/155] eta: 0:00:56 time: 0.5982 data_time: 0.4589 memory: 1829 2022/08/09 01:52:28 - mmengine - INFO - Epoch(val) [27][80/155] eta: 0:00:34 time: 0.4552 data_time: 0.3163 memory: 1829 2022/08/09 01:52:40 - mmengine - INFO - Epoch(val) [27][100/155] eta: 0:00:32 time: 0.5926 data_time: 0.4525 memory: 1829 2022/08/09 01:52:48 - mmengine - INFO - Epoch(val) [27][120/155] eta: 0:00:14 time: 0.4044 data_time: 0.2656 memory: 1829 2022/08/09 01:53:00 - mmengine - INFO - Epoch(val) [27][140/155] eta: 0:00:09 time: 0.6004 data_time: 0.4613 memory: 1829 2022/08/09 01:53:15 - mmengine - INFO - Epoch(val) [27][155/155] acc/top1: 0.6960 acc/top5: 0.8893 acc/mean1: 0.6959 2022/08/09 01:53:15 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_27.pth is removed 2022/08/09 01:53:17 - mmengine - INFO - The best checkpoint with 0.6960 acc/top1 at 28 epoch is saved to best_acc/top1_epoch_28.pth. 2022/08/09 01:53:33 - mmengine - INFO - Epoch(train) [28][20/1879] lr: 2.0000e-03 eta: 7:16:26 time: 0.8436 data_time: 0.2496 memory: 13723 grad_norm: 3.6920 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1671 loss: 1.1671 2022/08/09 01:53:45 - mmengine - INFO - Epoch(train) [28][40/1879] lr: 2.0000e-03 eta: 7:16:14 time: 0.6039 data_time: 0.0233 memory: 13723 grad_norm: 3.6621 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2530 loss: 1.2530 2022/08/09 01:53:57 - mmengine - INFO - Epoch(train) [28][60/1879] lr: 2.0000e-03 eta: 7:16:01 time: 0.5908 data_time: 0.0240 memory: 13723 grad_norm: 3.6672 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0560 loss: 1.0560 2022/08/09 01:54:09 - mmengine - INFO - Epoch(train) [28][80/1879] lr: 2.0000e-03 eta: 7:15:49 time: 0.5825 data_time: 0.0276 memory: 13723 grad_norm: 3.6131 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.2192 loss: 1.2192 2022/08/09 01:54:21 - mmengine - INFO - Epoch(train) [28][100/1879] lr: 2.0000e-03 eta: 7:15:36 time: 0.5864 data_time: 0.0252 memory: 13723 grad_norm: 3.6769 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0733 loss: 1.0733 2022/08/09 01:54:34 - mmengine - INFO - Epoch(train) [28][120/1879] lr: 2.0000e-03 eta: 7:15:25 time: 0.6573 data_time: 0.0227 memory: 13723 grad_norm: 3.6563 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0160 loss: 1.0160 2022/08/09 01:54:45 - mmengine - INFO - Epoch(train) [28][140/1879] lr: 2.0000e-03 eta: 7:15:12 time: 0.5668 data_time: 0.0235 memory: 13723 grad_norm: 3.5754 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0797 loss: 1.0797 2022/08/09 01:54:57 - mmengine - INFO - Epoch(train) [28][160/1879] lr: 2.0000e-03 eta: 7:15:00 time: 0.5757 data_time: 0.0250 memory: 13723 grad_norm: 3.5684 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9295 loss: 0.9295 2022/08/09 01:55:09 - mmengine - INFO - Epoch(train) [28][180/1879] lr: 2.0000e-03 eta: 7:14:47 time: 0.5883 data_time: 0.0220 memory: 13723 grad_norm: 3.6894 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2594 loss: 1.2594 2022/08/09 01:55:20 - mmengine - INFO - Epoch(train) [28][200/1879] lr: 2.0000e-03 eta: 7:14:35 time: 0.5798 data_time: 0.0259 memory: 13723 grad_norm: 3.6124 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0813 loss: 1.0813 2022/08/09 01:55:33 - mmengine - INFO - Epoch(train) [28][220/1879] lr: 2.0000e-03 eta: 7:14:23 time: 0.6191 data_time: 0.0249 memory: 13723 grad_norm: 3.6810 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3595 loss: 1.3595 2022/08/09 01:55:45 - mmengine - INFO - Epoch(train) [28][240/1879] lr: 2.0000e-03 eta: 7:14:11 time: 0.5995 data_time: 0.0238 memory: 13723 grad_norm: 3.6380 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2121 loss: 1.2121 2022/08/09 01:55:56 - mmengine - INFO - Epoch(train) [28][260/1879] lr: 2.0000e-03 eta: 7:13:58 time: 0.5940 data_time: 0.0250 memory: 13723 grad_norm: 3.7072 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2373 loss: 1.2373 2022/08/09 01:56:01 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 01:56:08 - mmengine - INFO - Epoch(train) [28][280/1879] lr: 2.0000e-03 eta: 7:13:46 time: 0.5929 data_time: 0.0271 memory: 13723 grad_norm: 3.6677 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3646 loss: 1.3646 2022/08/09 01:56:20 - mmengine - INFO - Epoch(train) [28][300/1879] lr: 2.0000e-03 eta: 7:13:33 time: 0.5839 data_time: 0.0234 memory: 13723 grad_norm: 3.5442 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0929 loss: 1.0929 2022/08/09 01:56:32 - mmengine - INFO - Epoch(train) [28][320/1879] lr: 2.0000e-03 eta: 7:13:21 time: 0.5874 data_time: 0.0233 memory: 13723 grad_norm: 3.6806 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0814 loss: 1.0814 2022/08/09 01:56:44 - mmengine - INFO - Epoch(train) [28][340/1879] lr: 2.0000e-03 eta: 7:13:09 time: 0.5903 data_time: 0.0244 memory: 13723 grad_norm: 3.5790 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0176 loss: 1.0176 2022/08/09 01:56:55 - mmengine - INFO - Epoch(train) [28][360/1879] lr: 2.0000e-03 eta: 7:12:56 time: 0.5730 data_time: 0.0242 memory: 13723 grad_norm: 3.6807 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0062 loss: 1.0062 2022/08/09 01:57:07 - mmengine - INFO - Epoch(train) [28][380/1879] lr: 2.0000e-03 eta: 7:12:44 time: 0.6109 data_time: 0.0224 memory: 13723 grad_norm: 3.6068 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0922 loss: 1.0922 2022/08/09 01:57:19 - mmengine - INFO - Epoch(train) [28][400/1879] lr: 2.0000e-03 eta: 7:12:32 time: 0.6025 data_time: 0.0236 memory: 13723 grad_norm: 3.5944 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0920 loss: 1.0920 2022/08/09 01:57:32 - mmengine - INFO - Epoch(train) [28][420/1879] lr: 2.0000e-03 eta: 7:12:20 time: 0.6247 data_time: 0.0218 memory: 13723 grad_norm: 3.5858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1509 loss: 1.1509 2022/08/09 01:57:43 - mmengine - INFO - Epoch(train) [28][440/1879] lr: 2.0000e-03 eta: 7:12:07 time: 0.5780 data_time: 0.0248 memory: 13723 grad_norm: 3.7710 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0848 loss: 1.0848 2022/08/09 01:57:57 - mmengine - INFO - Epoch(train) [28][460/1879] lr: 2.0000e-03 eta: 7:11:56 time: 0.6621 data_time: 0.0209 memory: 13723 grad_norm: 3.6951 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0820 loss: 1.0820 2022/08/09 01:58:08 - mmengine - INFO - Epoch(train) [28][480/1879] lr: 2.0000e-03 eta: 7:11:43 time: 0.5720 data_time: 0.0261 memory: 13723 grad_norm: 3.6280 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0675 loss: 1.0675 2022/08/09 01:58:20 - mmengine - INFO - Epoch(train) [28][500/1879] lr: 2.0000e-03 eta: 7:11:31 time: 0.6082 data_time: 0.0235 memory: 13723 grad_norm: 3.5695 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0095 loss: 1.0095 2022/08/09 01:58:32 - mmengine - INFO - Epoch(train) [28][520/1879] lr: 2.0000e-03 eta: 7:11:19 time: 0.6044 data_time: 0.0235 memory: 13723 grad_norm: 3.6929 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0373 loss: 1.0373 2022/08/09 01:58:45 - mmengine - INFO - Epoch(train) [28][540/1879] lr: 2.0000e-03 eta: 7:11:08 time: 0.6471 data_time: 0.0216 memory: 13723 grad_norm: 3.6949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2228 loss: 1.2228 2022/08/09 01:58:57 - mmengine - INFO - Epoch(train) [28][560/1879] lr: 2.0000e-03 eta: 7:10:55 time: 0.5751 data_time: 0.0250 memory: 13723 grad_norm: 3.6095 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0669 loss: 1.0669 2022/08/09 01:59:09 - mmengine - INFO - Epoch(train) [28][580/1879] lr: 2.0000e-03 eta: 7:10:43 time: 0.5967 data_time: 0.0239 memory: 13723 grad_norm: 3.6637 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0160 loss: 1.0160 2022/08/09 01:59:20 - mmengine - INFO - Epoch(train) [28][600/1879] lr: 2.0000e-03 eta: 7:10:30 time: 0.5856 data_time: 0.0250 memory: 13723 grad_norm: 3.7446 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0906 loss: 1.0906 2022/08/09 01:59:33 - mmengine - INFO - Epoch(train) [28][620/1879] lr: 2.0000e-03 eta: 7:10:18 time: 0.6174 data_time: 0.0216 memory: 13723 grad_norm: 3.5843 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0491 loss: 1.0491 2022/08/09 01:59:45 - mmengine - INFO - Epoch(train) [28][640/1879] lr: 2.0000e-03 eta: 7:10:06 time: 0.6032 data_time: 0.0219 memory: 13723 grad_norm: 3.7749 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2150 loss: 1.2150 2022/08/09 01:59:57 - mmengine - INFO - Epoch(train) [28][660/1879] lr: 2.0000e-03 eta: 7:09:54 time: 0.5892 data_time: 0.0253 memory: 13723 grad_norm: 3.8033 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9969 loss: 0.9969 2022/08/09 02:00:13 - mmengine - INFO - Epoch(train) [28][680/1879] lr: 2.0000e-03 eta: 7:09:45 time: 0.8349 data_time: 0.0282 memory: 13723 grad_norm: 3.6703 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1024 loss: 1.1024 2022/08/09 02:00:27 - mmengine - INFO - Epoch(train) [28][700/1879] lr: 2.0000e-03 eta: 7:09:34 time: 0.6595 data_time: 0.0225 memory: 13723 grad_norm: 3.6880 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1122 loss: 1.1122 2022/08/09 02:00:39 - mmengine - INFO - Epoch(train) [28][720/1879] lr: 2.0000e-03 eta: 7:09:23 time: 0.6291 data_time: 0.0220 memory: 13723 grad_norm: 3.7166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1547 loss: 1.1547 2022/08/09 02:00:51 - mmengine - INFO - Epoch(train) [28][740/1879] lr: 2.0000e-03 eta: 7:09:11 time: 0.6175 data_time: 0.0227 memory: 13723 grad_norm: 3.6989 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0287 loss: 1.0287 2022/08/09 02:01:03 - mmengine - INFO - Epoch(train) [28][760/1879] lr: 2.0000e-03 eta: 7:08:58 time: 0.5733 data_time: 0.0255 memory: 13723 grad_norm: 3.6368 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9973 loss: 0.9973 2022/08/09 02:01:16 - mmengine - INFO - Epoch(train) [28][780/1879] lr: 2.0000e-03 eta: 7:08:46 time: 0.6267 data_time: 0.0222 memory: 13723 grad_norm: 3.6499 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1741 loss: 1.1741 2022/08/09 02:01:27 - mmengine - INFO - Epoch(train) [28][800/1879] lr: 2.0000e-03 eta: 7:08:34 time: 0.5920 data_time: 0.0257 memory: 13723 grad_norm: 3.6340 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1650 loss: 1.1650 2022/08/09 02:01:39 - mmengine - INFO - Epoch(train) [28][820/1879] lr: 2.0000e-03 eta: 7:08:21 time: 0.5850 data_time: 0.0230 memory: 13723 grad_norm: 3.6947 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1098 loss: 1.1098 2022/08/09 02:01:52 - mmengine - INFO - Epoch(train) [28][840/1879] lr: 2.0000e-03 eta: 7:08:09 time: 0.6165 data_time: 0.0235 memory: 13723 grad_norm: 3.6060 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0364 loss: 1.0364 2022/08/09 02:02:04 - mmengine - INFO - Epoch(train) [28][860/1879] lr: 2.0000e-03 eta: 7:07:57 time: 0.6106 data_time: 0.0363 memory: 13723 grad_norm: 3.7271 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.2241 loss: 1.2241 2022/08/09 02:02:15 - mmengine - INFO - Epoch(train) [28][880/1879] lr: 2.0000e-03 eta: 7:07:45 time: 0.5787 data_time: 0.0243 memory: 13723 grad_norm: 3.7792 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1177 loss: 1.1177 2022/08/09 02:02:28 - mmengine - INFO - Epoch(train) [28][900/1879] lr: 2.0000e-03 eta: 7:07:33 time: 0.6302 data_time: 0.0226 memory: 13723 grad_norm: 3.6643 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1887 loss: 1.1887 2022/08/09 02:02:39 - mmengine - INFO - Epoch(train) [28][920/1879] lr: 2.0000e-03 eta: 7:07:20 time: 0.5715 data_time: 0.0237 memory: 13723 grad_norm: 3.6906 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2270 loss: 1.2270 2022/08/09 02:02:51 - mmengine - INFO - Epoch(train) [28][940/1879] lr: 2.0000e-03 eta: 7:07:08 time: 0.5801 data_time: 0.0261 memory: 13723 grad_norm: 3.6192 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0159 loss: 1.0159 2022/08/09 02:03:04 - mmengine - INFO - Epoch(train) [28][960/1879] lr: 2.0000e-03 eta: 7:06:56 time: 0.6342 data_time: 0.0227 memory: 13723 grad_norm: 3.7211 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0847 loss: 1.0847 2022/08/09 02:03:15 - mmengine - INFO - Epoch(train) [28][980/1879] lr: 2.0000e-03 eta: 7:06:44 time: 0.5869 data_time: 0.0259 memory: 13723 grad_norm: 3.6815 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0343 loss: 1.0343 2022/08/09 02:03:27 - mmengine - INFO - Epoch(train) [28][1000/1879] lr: 2.0000e-03 eta: 7:06:31 time: 0.5780 data_time: 0.0222 memory: 13723 grad_norm: 3.6627 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0705 loss: 1.0705 2022/08/09 02:03:39 - mmengine - INFO - Epoch(train) [28][1020/1879] lr: 2.0000e-03 eta: 7:06:19 time: 0.5938 data_time: 0.0241 memory: 13723 grad_norm: 3.7756 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0762 loss: 1.0762 2022/08/09 02:03:51 - mmengine - INFO - Epoch(train) [28][1040/1879] lr: 2.0000e-03 eta: 7:06:07 time: 0.6260 data_time: 0.0227 memory: 13723 grad_norm: 3.6043 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0645 loss: 1.0645 2022/08/09 02:04:03 - mmengine - INFO - Epoch(train) [28][1060/1879] lr: 2.0000e-03 eta: 7:05:54 time: 0.5840 data_time: 0.0256 memory: 13723 grad_norm: 3.6809 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2391 loss: 1.2391 2022/08/09 02:04:15 - mmengine - INFO - Epoch(train) [28][1080/1879] lr: 2.0000e-03 eta: 7:05:42 time: 0.5934 data_time: 0.0257 memory: 13723 grad_norm: 3.6754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2352 loss: 1.2352 2022/08/09 02:04:26 - mmengine - INFO - Epoch(train) [28][1100/1879] lr: 2.0000e-03 eta: 7:05:30 time: 0.5811 data_time: 0.0243 memory: 13723 grad_norm: 3.6520 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9945 loss: 0.9945 2022/08/09 02:04:38 - mmengine - INFO - Epoch(train) [28][1120/1879] lr: 2.0000e-03 eta: 7:05:17 time: 0.5769 data_time: 0.0236 memory: 13723 grad_norm: 3.6547 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0109 loss: 1.0109 2022/08/09 02:04:51 - mmengine - INFO - Epoch(train) [28][1140/1879] lr: 2.0000e-03 eta: 7:05:06 time: 0.6578 data_time: 0.0241 memory: 13723 grad_norm: 3.6243 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0820 loss: 1.0820 2022/08/09 02:05:02 - mmengine - INFO - Epoch(train) [28][1160/1879] lr: 2.0000e-03 eta: 7:04:53 time: 0.5628 data_time: 0.0240 memory: 13723 grad_norm: 3.7140 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1308 loss: 1.1308 2022/08/09 02:05:15 - mmengine - INFO - Epoch(train) [28][1180/1879] lr: 2.0000e-03 eta: 7:04:41 time: 0.6375 data_time: 0.0792 memory: 13723 grad_norm: 3.7339 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9060 loss: 0.9060 2022/08/09 02:05:29 - mmengine - INFO - Epoch(train) [28][1200/1879] lr: 2.0000e-03 eta: 7:04:30 time: 0.6746 data_time: 0.0237 memory: 13723 grad_norm: 3.7354 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0640 loss: 1.0640 2022/08/09 02:05:42 - mmengine - INFO - Epoch(train) [28][1220/1879] lr: 2.0000e-03 eta: 7:04:19 time: 0.6703 data_time: 0.0200 memory: 13723 grad_norm: 3.7351 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1909 loss: 1.1909 2022/08/09 02:05:54 - mmengine - INFO - Epoch(train) [28][1240/1879] lr: 2.0000e-03 eta: 7:04:07 time: 0.5770 data_time: 0.0231 memory: 13723 grad_norm: 3.7110 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1043 loss: 1.1043 2022/08/09 02:06:05 - mmengine - INFO - Epoch(train) [28][1260/1879] lr: 2.0000e-03 eta: 7:03:54 time: 0.5812 data_time: 0.0239 memory: 13723 grad_norm: 3.6842 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1752 loss: 1.1752 2022/08/09 02:06:10 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 02:06:18 - mmengine - INFO - Epoch(train) [28][1280/1879] lr: 2.0000e-03 eta: 7:03:42 time: 0.6419 data_time: 0.0229 memory: 13723 grad_norm: 3.8067 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1978 loss: 1.1978 2022/08/09 02:06:30 - mmengine - INFO - Epoch(train) [28][1300/1879] lr: 2.0000e-03 eta: 7:03:30 time: 0.5835 data_time: 0.0236 memory: 13723 grad_norm: 3.8672 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0329 loss: 1.0329 2022/08/09 02:06:42 - mmengine - INFO - Epoch(train) [28][1320/1879] lr: 2.0000e-03 eta: 7:03:17 time: 0.5831 data_time: 0.0231 memory: 13723 grad_norm: 3.6467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9185 loss: 0.9185 2022/08/09 02:06:54 - mmengine - INFO - Epoch(train) [28][1340/1879] lr: 2.0000e-03 eta: 7:03:06 time: 0.6236 data_time: 0.0237 memory: 13723 grad_norm: 3.6175 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9512 loss: 0.9512 2022/08/09 02:07:06 - mmengine - INFO - Epoch(train) [28][1360/1879] lr: 2.0000e-03 eta: 7:02:53 time: 0.5783 data_time: 0.0262 memory: 13723 grad_norm: 3.6046 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9604 loss: 0.9604 2022/08/09 02:07:18 - mmengine - INFO - Epoch(train) [28][1380/1879] lr: 2.0000e-03 eta: 7:02:41 time: 0.6250 data_time: 0.0218 memory: 13723 grad_norm: 3.6061 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0191 loss: 1.0191 2022/08/09 02:07:30 - mmengine - INFO - Epoch(train) [28][1400/1879] lr: 2.0000e-03 eta: 7:02:29 time: 0.5858 data_time: 0.0257 memory: 13723 grad_norm: 3.7524 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1590 loss: 1.1590 2022/08/09 02:07:43 - mmengine - INFO - Epoch(train) [28][1420/1879] lr: 2.0000e-03 eta: 7:02:17 time: 0.6427 data_time: 0.0227 memory: 13723 grad_norm: 3.5648 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0757 loss: 1.0757 2022/08/09 02:07:55 - mmengine - INFO - Epoch(train) [28][1440/1879] lr: 2.0000e-03 eta: 7:02:05 time: 0.6149 data_time: 0.0239 memory: 13723 grad_norm: 3.5956 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0223 loss: 1.0223 2022/08/09 02:08:07 - mmengine - INFO - Epoch(train) [28][1460/1879] lr: 2.0000e-03 eta: 7:01:53 time: 0.5763 data_time: 0.0243 memory: 13723 grad_norm: 3.6374 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0248 loss: 1.0248 2022/08/09 02:08:19 - mmengine - INFO - Epoch(train) [28][1480/1879] lr: 2.0000e-03 eta: 7:01:41 time: 0.6202 data_time: 0.0254 memory: 13723 grad_norm: 3.7782 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0293 loss: 1.0293 2022/08/09 02:08:32 - mmengine - INFO - Epoch(train) [28][1500/1879] lr: 2.0000e-03 eta: 7:01:30 time: 0.6765 data_time: 0.0202 memory: 13723 grad_norm: 3.6531 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0746 loss: 1.0746 2022/08/09 02:08:47 - mmengine - INFO - Epoch(train) [28][1520/1879] lr: 2.0000e-03 eta: 7:01:19 time: 0.7149 data_time: 0.0185 memory: 13723 grad_norm: 3.7741 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0498 loss: 1.0498 2022/08/09 02:09:01 - mmengine - INFO - Epoch(train) [28][1540/1879] lr: 2.0000e-03 eta: 7:01:09 time: 0.7343 data_time: 0.0210 memory: 13723 grad_norm: 3.6874 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9989 loss: 0.9989 2022/08/09 02:09:13 - mmengine - INFO - Epoch(train) [28][1560/1879] lr: 2.0000e-03 eta: 7:00:57 time: 0.5833 data_time: 0.0225 memory: 13723 grad_norm: 3.7233 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0688 loss: 1.0688 2022/08/09 02:09:27 - mmengine - INFO - Epoch(train) [28][1580/1879] lr: 2.0000e-03 eta: 7:00:46 time: 0.6976 data_time: 0.0197 memory: 13723 grad_norm: 3.7631 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1423 loss: 1.1423 2022/08/09 02:09:39 - mmengine - INFO - Epoch(train) [28][1600/1879] lr: 2.0000e-03 eta: 7:00:34 time: 0.6161 data_time: 0.0219 memory: 13723 grad_norm: 3.7671 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1800 loss: 1.1800 2022/08/09 02:09:55 - mmengine - INFO - Epoch(train) [28][1620/1879] lr: 2.0000e-03 eta: 7:00:24 time: 0.7581 data_time: 0.0207 memory: 13723 grad_norm: 3.8084 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1303 loss: 1.1303 2022/08/09 02:10:12 - mmengine - INFO - Epoch(train) [28][1640/1879] lr: 2.0000e-03 eta: 7:00:17 time: 0.8853 data_time: 0.0225 memory: 13723 grad_norm: 3.6373 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1148 loss: 1.1148 2022/08/09 02:10:24 - mmengine - INFO - Epoch(train) [28][1660/1879] lr: 2.0000e-03 eta: 7:00:04 time: 0.5955 data_time: 0.0260 memory: 13723 grad_norm: 3.6755 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0575 loss: 1.0575 2022/08/09 02:10:38 - mmengine - INFO - Epoch(train) [28][1680/1879] lr: 2.0000e-03 eta: 6:59:54 time: 0.6834 data_time: 0.0230 memory: 13723 grad_norm: 3.6915 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1261 loss: 1.1261 2022/08/09 02:10:51 - mmengine - INFO - Epoch(train) [28][1700/1879] lr: 2.0000e-03 eta: 6:59:42 time: 0.6661 data_time: 0.0198 memory: 13723 grad_norm: 3.8481 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0292 loss: 1.0292 2022/08/09 02:11:06 - mmengine - INFO - Epoch(train) [28][1720/1879] lr: 2.0000e-03 eta: 6:59:32 time: 0.7262 data_time: 0.0217 memory: 13723 grad_norm: 3.6665 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0304 loss: 1.0304 2022/08/09 02:11:19 - mmengine - INFO - Epoch(train) [28][1740/1879] lr: 2.0000e-03 eta: 6:59:20 time: 0.6409 data_time: 0.0406 memory: 13723 grad_norm: 3.7744 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9935 loss: 0.9935 2022/08/09 02:11:31 - mmengine - INFO - Epoch(train) [28][1760/1879] lr: 2.0000e-03 eta: 6:59:08 time: 0.5953 data_time: 0.0217 memory: 13723 grad_norm: 3.7897 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3828 loss: 1.3828 2022/08/09 02:11:42 - mmengine - INFO - Epoch(train) [28][1780/1879] lr: 2.0000e-03 eta: 6:58:56 time: 0.5889 data_time: 0.0233 memory: 13723 grad_norm: 3.7809 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9982 loss: 0.9982 2022/08/09 02:11:55 - mmengine - INFO - Epoch(train) [28][1800/1879] lr: 2.0000e-03 eta: 6:58:44 time: 0.6115 data_time: 0.0245 memory: 13723 grad_norm: 3.8214 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2822 loss: 1.2822 2022/08/09 02:12:08 - mmengine - INFO - Epoch(train) [28][1820/1879] lr: 2.0000e-03 eta: 6:58:32 time: 0.6479 data_time: 0.0220 memory: 13723 grad_norm: 3.6358 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9656 loss: 0.9656 2022/08/09 02:12:19 - mmengine - INFO - Epoch(train) [28][1840/1879] lr: 2.0000e-03 eta: 6:58:20 time: 0.5798 data_time: 0.0233 memory: 13723 grad_norm: 3.6386 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9848 loss: 0.9848 2022/08/09 02:12:32 - mmengine - INFO - Epoch(train) [28][1860/1879] lr: 2.0000e-03 eta: 6:58:08 time: 0.6464 data_time: 0.0227 memory: 13723 grad_norm: 3.7210 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2082 loss: 1.2082 2022/08/09 02:12:42 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 02:12:42 - mmengine - INFO - Epoch(train) [28][1879/1879] lr: 2.0000e-03 eta: 6:58:08 time: 0.5372 data_time: 0.0159 memory: 13723 grad_norm: 3.7554 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.2387 loss: 1.2387 2022/08/09 02:12:55 - mmengine - INFO - Epoch(val) [28][20/155] eta: 0:01:24 time: 0.6279 data_time: 0.4876 memory: 1829 2022/08/09 02:13:04 - mmengine - INFO - Epoch(val) [28][40/155] eta: 0:00:49 time: 0.4343 data_time: 0.2957 memory: 1829 2022/08/09 02:13:14 - mmengine - INFO - Epoch(val) [28][60/155] eta: 0:00:51 time: 0.5398 data_time: 0.4016 memory: 1829 2022/08/09 02:13:22 - mmengine - INFO - Epoch(val) [28][80/155] eta: 0:00:30 time: 0.4055 data_time: 0.2668 memory: 1829 2022/08/09 02:13:34 - mmengine - INFO - Epoch(val) [28][100/155] eta: 0:00:30 time: 0.5525 data_time: 0.4137 memory: 1829 2022/08/09 02:13:41 - mmengine - INFO - Epoch(val) [28][120/155] eta: 0:00:13 time: 0.3918 data_time: 0.2525 memory: 1829 2022/08/09 02:13:55 - mmengine - INFO - Epoch(val) [28][140/155] eta: 0:00:10 time: 0.6735 data_time: 0.5347 memory: 1829 2022/08/09 02:14:25 - mmengine - INFO - Epoch(val) [28][155/155] acc/top1: 0.6957 acc/top5: 0.8921 acc/mean1: 0.6955 2022/08/09 02:14:46 - mmengine - INFO - Epoch(train) [29][20/1879] lr: 2.0000e-03 eta: 6:57:43 time: 1.0783 data_time: 0.2341 memory: 13723 grad_norm: 3.7245 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0146 loss: 1.0146 2022/08/09 02:15:03 - mmengine - INFO - Epoch(train) [29][40/1879] lr: 2.0000e-03 eta: 6:57:34 time: 0.8126 data_time: 0.0207 memory: 13723 grad_norm: 3.6046 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8999 loss: 0.8999 2022/08/09 02:15:16 - mmengine - INFO - Epoch(train) [29][60/1879] lr: 2.0000e-03 eta: 6:57:23 time: 0.6580 data_time: 0.0448 memory: 13723 grad_norm: 3.5697 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9238 loss: 0.9238 2022/08/09 02:15:27 - mmengine - INFO - Epoch(train) [29][80/1879] lr: 2.0000e-03 eta: 6:57:10 time: 0.5794 data_time: 0.0218 memory: 13723 grad_norm: 3.6197 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.1451 loss: 1.1451 2022/08/09 02:15:42 - mmengine - INFO - Epoch(train) [29][100/1879] lr: 2.0000e-03 eta: 6:57:00 time: 0.7522 data_time: 0.0205 memory: 13723 grad_norm: 3.7074 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8811 loss: 0.8811 2022/08/09 02:15:54 - mmengine - INFO - Epoch(train) [29][120/1879] lr: 2.0000e-03 eta: 6:56:48 time: 0.5714 data_time: 0.0227 memory: 13723 grad_norm: 3.6068 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0089 loss: 1.0089 2022/08/09 02:16:06 - mmengine - INFO - Epoch(train) [29][140/1879] lr: 2.0000e-03 eta: 6:56:36 time: 0.6299 data_time: 0.0217 memory: 13723 grad_norm: 3.7069 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0212 loss: 1.0212 2022/08/09 02:16:19 - mmengine - INFO - Epoch(train) [29][160/1879] lr: 2.0000e-03 eta: 6:56:24 time: 0.6347 data_time: 0.0212 memory: 13723 grad_norm: 3.6680 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9565 loss: 0.9565 2022/08/09 02:16:35 - mmengine - INFO - Epoch(train) [29][180/1879] lr: 2.0000e-03 eta: 6:56:14 time: 0.7708 data_time: 0.0196 memory: 13723 grad_norm: 3.6689 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1386 loss: 1.1386 2022/08/09 02:16:46 - mmengine - INFO - Epoch(train) [29][200/1879] lr: 2.0000e-03 eta: 6:56:02 time: 0.5956 data_time: 0.0203 memory: 13723 grad_norm: 3.6571 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9178 loss: 0.9178 2022/08/09 02:16:58 - mmengine - INFO - Epoch(train) [29][220/1879] lr: 2.0000e-03 eta: 6:55:50 time: 0.5845 data_time: 0.0241 memory: 13723 grad_norm: 3.6919 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0853 loss: 1.0853 2022/08/09 02:17:12 - mmengine - INFO - Epoch(train) [29][240/1879] lr: 2.0000e-03 eta: 6:55:39 time: 0.6865 data_time: 0.0210 memory: 13723 grad_norm: 3.7985 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1835 loss: 1.1835 2022/08/09 02:17:24 - mmengine - INFO - Epoch(train) [29][260/1879] lr: 2.0000e-03 eta: 6:55:27 time: 0.6046 data_time: 0.0218 memory: 13723 grad_norm: 3.7396 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1234 loss: 1.1234 2022/08/09 02:17:39 - mmengine - INFO - Epoch(train) [29][280/1879] lr: 2.0000e-03 eta: 6:55:17 time: 0.7567 data_time: 0.0206 memory: 13723 grad_norm: 3.6320 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8884 loss: 0.8884 2022/08/09 02:17:52 - mmengine - INFO - Epoch(train) [29][300/1879] lr: 2.0000e-03 eta: 6:55:05 time: 0.6226 data_time: 0.0213 memory: 13723 grad_norm: 3.6071 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0912 loss: 1.0912 2022/08/09 02:18:03 - mmengine - INFO - Epoch(train) [29][320/1879] lr: 2.0000e-03 eta: 6:54:52 time: 0.5726 data_time: 0.0261 memory: 13723 grad_norm: 3.6912 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0591 loss: 1.0591 2022/08/09 02:18:16 - mmengine - INFO - Epoch(train) [29][340/1879] lr: 2.0000e-03 eta: 6:54:41 time: 0.6703 data_time: 0.0228 memory: 13723 grad_norm: 3.6770 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0327 loss: 1.0327 2022/08/09 02:18:29 - mmengine - INFO - Epoch(train) [29][360/1879] lr: 2.0000e-03 eta: 6:54:29 time: 0.6180 data_time: 0.0211 memory: 13723 grad_norm: 3.6392 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9571 loss: 0.9571 2022/08/09 02:18:43 - mmengine - INFO - Epoch(train) [29][380/1879] lr: 2.0000e-03 eta: 6:54:18 time: 0.6944 data_time: 0.0201 memory: 13723 grad_norm: 3.6982 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0563 loss: 1.0563 2022/08/09 02:18:48 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 02:18:55 - mmengine - INFO - Epoch(train) [29][400/1879] lr: 2.0000e-03 eta: 6:54:06 time: 0.6238 data_time: 0.0224 memory: 13723 grad_norm: 3.5426 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0092 loss: 1.0092 2022/08/09 02:19:08 - mmengine - INFO - Epoch(train) [29][420/1879] lr: 2.0000e-03 eta: 6:53:55 time: 0.6339 data_time: 0.0208 memory: 13723 grad_norm: 3.7908 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2266 loss: 1.2266 2022/08/09 02:19:20 - mmengine - INFO - Epoch(train) [29][440/1879] lr: 2.0000e-03 eta: 6:53:42 time: 0.5888 data_time: 0.0242 memory: 13723 grad_norm: 3.7787 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0192 loss: 1.0192 2022/08/09 02:19:33 - mmengine - INFO - Epoch(train) [29][460/1879] lr: 2.0000e-03 eta: 6:53:31 time: 0.6390 data_time: 0.0240 memory: 13723 grad_norm: 3.6943 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1010 loss: 1.1010 2022/08/09 02:19:44 - mmengine - INFO - Epoch(train) [29][480/1879] lr: 2.0000e-03 eta: 6:53:18 time: 0.5774 data_time: 0.0237 memory: 13723 grad_norm: 3.7740 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9530 loss: 0.9530 2022/08/09 02:19:56 - mmengine - INFO - Epoch(train) [29][500/1879] lr: 2.0000e-03 eta: 6:53:06 time: 0.5942 data_time: 0.0235 memory: 13723 grad_norm: 3.7240 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2711 loss: 1.2711 2022/08/09 02:20:08 - mmengine - INFO - Epoch(train) [29][520/1879] lr: 2.0000e-03 eta: 6:52:53 time: 0.5897 data_time: 0.0340 memory: 13723 grad_norm: 3.7784 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1691 loss: 1.1691 2022/08/09 02:20:24 - mmengine - INFO - Epoch(train) [29][540/1879] lr: 2.0000e-03 eta: 6:52:44 time: 0.7989 data_time: 0.0269 memory: 13723 grad_norm: 3.6280 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0745 loss: 1.0745 2022/08/09 02:20:35 - mmengine - INFO - Epoch(train) [29][560/1879] lr: 2.0000e-03 eta: 6:52:31 time: 0.5718 data_time: 0.0235 memory: 13723 grad_norm: 3.6926 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9843 loss: 0.9843 2022/08/09 02:20:48 - mmengine - INFO - Epoch(train) [29][580/1879] lr: 2.0000e-03 eta: 6:52:20 time: 0.6637 data_time: 0.0207 memory: 13723 grad_norm: 3.6717 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.0184 loss: 1.0184 2022/08/09 02:21:00 - mmengine - INFO - Epoch(train) [29][600/1879] lr: 2.0000e-03 eta: 6:52:08 time: 0.5759 data_time: 0.0227 memory: 13723 grad_norm: 3.7956 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0217 loss: 1.0217 2022/08/09 02:21:11 - mmengine - INFO - Epoch(train) [29][620/1879] lr: 2.0000e-03 eta: 6:51:55 time: 0.5730 data_time: 0.0237 memory: 13723 grad_norm: 3.7174 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2632 loss: 1.2632 2022/08/09 02:21:23 - mmengine - INFO - Epoch(train) [29][640/1879] lr: 2.0000e-03 eta: 6:51:43 time: 0.5941 data_time: 0.0256 memory: 13723 grad_norm: 3.7060 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9564 loss: 0.9564 2022/08/09 02:21:35 - mmengine - INFO - Epoch(train) [29][660/1879] lr: 2.0000e-03 eta: 6:51:30 time: 0.5974 data_time: 0.0265 memory: 13723 grad_norm: 3.6533 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9443 loss: 0.9443 2022/08/09 02:21:47 - mmengine - INFO - Epoch(train) [29][680/1879] lr: 2.0000e-03 eta: 6:51:18 time: 0.5892 data_time: 0.0316 memory: 13723 grad_norm: 3.7837 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1681 loss: 1.1681 2022/08/09 02:21:59 - mmengine - INFO - Epoch(train) [29][700/1879] lr: 2.0000e-03 eta: 6:51:05 time: 0.5827 data_time: 0.0256 memory: 13723 grad_norm: 3.6308 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0977 loss: 1.0977 2022/08/09 02:22:11 - mmengine - INFO - Epoch(train) [29][720/1879] lr: 2.0000e-03 eta: 6:50:53 time: 0.6051 data_time: 0.0230 memory: 13723 grad_norm: 3.6804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1151 loss: 1.1151 2022/08/09 02:22:22 - mmengine - INFO - Epoch(train) [29][740/1879] lr: 2.0000e-03 eta: 6:50:41 time: 0.5761 data_time: 0.0236 memory: 13723 grad_norm: 3.6292 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1098 loss: 1.1098 2022/08/09 02:22:34 - mmengine - INFO - Epoch(train) [29][760/1879] lr: 2.0000e-03 eta: 6:50:28 time: 0.5933 data_time: 0.0248 memory: 13723 grad_norm: 3.7212 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1583 loss: 1.1583 2022/08/09 02:22:46 - mmengine - INFO - Epoch(train) [29][780/1879] lr: 2.0000e-03 eta: 6:50:16 time: 0.5802 data_time: 0.0238 memory: 13723 grad_norm: 3.8204 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0812 loss: 1.0812 2022/08/09 02:22:58 - mmengine - INFO - Epoch(train) [29][800/1879] lr: 2.0000e-03 eta: 6:50:04 time: 0.6264 data_time: 0.0227 memory: 13723 grad_norm: 3.6413 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0346 loss: 1.0346 2022/08/09 02:23:10 - mmengine - INFO - Epoch(train) [29][820/1879] lr: 2.0000e-03 eta: 6:49:51 time: 0.5762 data_time: 0.0234 memory: 13723 grad_norm: 3.7510 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9945 loss: 0.9945 2022/08/09 02:23:22 - mmengine - INFO - Epoch(train) [29][840/1879] lr: 2.0000e-03 eta: 6:49:39 time: 0.6060 data_time: 0.0248 memory: 13723 grad_norm: 3.7753 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1099 loss: 1.1099 2022/08/09 02:23:34 - mmengine - INFO - Epoch(train) [29][860/1879] lr: 2.0000e-03 eta: 6:49:27 time: 0.5813 data_time: 0.0233 memory: 13723 grad_norm: 3.7621 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9772 loss: 0.9772 2022/08/09 02:23:46 - mmengine - INFO - Epoch(train) [29][880/1879] lr: 2.0000e-03 eta: 6:49:14 time: 0.5985 data_time: 0.0232 memory: 13723 grad_norm: 3.7188 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0571 loss: 1.0571 2022/08/09 02:23:57 - mmengine - INFO - Epoch(train) [29][900/1879] lr: 2.0000e-03 eta: 6:49:02 time: 0.5885 data_time: 0.0249 memory: 13723 grad_norm: 3.8032 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0963 loss: 1.0963 2022/08/09 02:24:10 - mmengine - INFO - Epoch(train) [29][920/1879] lr: 2.0000e-03 eta: 6:48:50 time: 0.6184 data_time: 0.0221 memory: 13723 grad_norm: 3.7699 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1024 loss: 1.1024 2022/08/09 02:24:21 - mmengine - INFO - Epoch(train) [29][940/1879] lr: 2.0000e-03 eta: 6:48:37 time: 0.5754 data_time: 0.0251 memory: 13723 grad_norm: 3.7227 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9258 loss: 0.9258 2022/08/09 02:24:33 - mmengine - INFO - Epoch(train) [29][960/1879] lr: 2.0000e-03 eta: 6:48:25 time: 0.5777 data_time: 0.0256 memory: 13723 grad_norm: 3.8763 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1114 loss: 1.1114 2022/08/09 02:24:45 - mmengine - INFO - Epoch(train) [29][980/1879] lr: 2.0000e-03 eta: 6:48:12 time: 0.5832 data_time: 0.0234 memory: 13723 grad_norm: 3.6757 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1278 loss: 1.1278 2022/08/09 02:24:57 - mmengine - INFO - Epoch(train) [29][1000/1879] lr: 2.0000e-03 eta: 6:48:00 time: 0.6088 data_time: 0.0239 memory: 13723 grad_norm: 3.6443 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1274 loss: 1.1274 2022/08/09 02:25:12 - mmengine - INFO - Epoch(train) [29][1020/1879] lr: 2.0000e-03 eta: 6:47:51 time: 0.7780 data_time: 0.0242 memory: 13723 grad_norm: 3.7205 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0188 loss: 1.0188 2022/08/09 02:25:28 - mmengine - INFO - Epoch(train) [29][1040/1879] lr: 2.0000e-03 eta: 6:47:41 time: 0.7821 data_time: 0.0213 memory: 13723 grad_norm: 3.6679 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1314 loss: 1.1314 2022/08/09 02:25:41 - mmengine - INFO - Epoch(train) [29][1060/1879] lr: 2.0000e-03 eta: 6:47:30 time: 0.6662 data_time: 0.0201 memory: 13723 grad_norm: 3.6579 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9928 loss: 0.9928 2022/08/09 02:25:53 - mmengine - INFO - Epoch(train) [29][1080/1879] lr: 2.0000e-03 eta: 6:47:17 time: 0.5839 data_time: 0.0245 memory: 13723 grad_norm: 3.6043 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9575 loss: 0.9575 2022/08/09 02:26:05 - mmengine - INFO - Epoch(train) [29][1100/1879] lr: 2.0000e-03 eta: 6:47:05 time: 0.5854 data_time: 0.0247 memory: 13723 grad_norm: 3.7005 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9902 loss: 0.9902 2022/08/09 02:26:16 - mmengine - INFO - Epoch(train) [29][1120/1879] lr: 2.0000e-03 eta: 6:46:52 time: 0.5747 data_time: 0.0254 memory: 13723 grad_norm: 3.7346 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8945 loss: 0.8945 2022/08/09 02:26:28 - mmengine - INFO - Epoch(train) [29][1140/1879] lr: 2.0000e-03 eta: 6:46:40 time: 0.6001 data_time: 0.0464 memory: 13723 grad_norm: 3.6737 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1868 loss: 1.1868 2022/08/09 02:26:41 - mmengine - INFO - Epoch(train) [29][1160/1879] lr: 2.0000e-03 eta: 6:46:28 time: 0.6296 data_time: 0.0224 memory: 13723 grad_norm: 3.7191 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0908 loss: 1.0908 2022/08/09 02:26:52 - mmengine - INFO - Epoch(train) [29][1180/1879] lr: 2.0000e-03 eta: 6:46:16 time: 0.5783 data_time: 0.0246 memory: 13723 grad_norm: 3.7743 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9307 loss: 0.9307 2022/08/09 02:27:04 - mmengine - INFO - Epoch(train) [29][1200/1879] lr: 2.0000e-03 eta: 6:46:03 time: 0.5751 data_time: 0.0239 memory: 13723 grad_norm: 3.7134 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9394 loss: 0.9394 2022/08/09 02:27:16 - mmengine - INFO - Epoch(train) [29][1220/1879] lr: 2.0000e-03 eta: 6:45:50 time: 0.5813 data_time: 0.0245 memory: 13723 grad_norm: 3.8797 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2658 loss: 1.2658 2022/08/09 02:27:27 - mmengine - INFO - Epoch(train) [29][1240/1879] lr: 2.0000e-03 eta: 6:45:38 time: 0.5784 data_time: 0.0248 memory: 13723 grad_norm: 3.8110 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9468 loss: 0.9468 2022/08/09 02:27:39 - mmengine - INFO - Epoch(train) [29][1260/1879] lr: 2.0000e-03 eta: 6:45:26 time: 0.5888 data_time: 0.0226 memory: 13723 grad_norm: 3.8409 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0973 loss: 1.0973 2022/08/09 02:27:51 - mmengine - INFO - Epoch(train) [29][1280/1879] lr: 2.0000e-03 eta: 6:45:13 time: 0.5957 data_time: 0.0227 memory: 13723 grad_norm: 3.7040 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1090 loss: 1.1090 2022/08/09 02:28:03 - mmengine - INFO - Epoch(train) [29][1300/1879] lr: 2.0000e-03 eta: 6:45:01 time: 0.5851 data_time: 0.0232 memory: 13723 grad_norm: 3.7829 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9682 loss: 0.9682 2022/08/09 02:28:14 - mmengine - INFO - Epoch(train) [29][1320/1879] lr: 2.0000e-03 eta: 6:44:48 time: 0.5811 data_time: 0.0242 memory: 13723 grad_norm: 3.8133 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9723 loss: 0.9723 2022/08/09 02:28:28 - mmengine - INFO - Epoch(train) [29][1340/1879] lr: 2.0000e-03 eta: 6:44:37 time: 0.6695 data_time: 0.0290 memory: 13723 grad_norm: 3.7602 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0829 loss: 1.0829 2022/08/09 02:28:39 - mmengine - INFO - Epoch(train) [29][1360/1879] lr: 2.0000e-03 eta: 6:44:24 time: 0.5668 data_time: 0.0230 memory: 13723 grad_norm: 3.7410 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9006 loss: 0.9006 2022/08/09 02:28:51 - mmengine - INFO - Epoch(train) [29][1380/1879] lr: 2.0000e-03 eta: 6:44:12 time: 0.5960 data_time: 0.0292 memory: 13723 grad_norm: 3.6885 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.0620 loss: 1.0620 2022/08/09 02:28:56 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 02:29:03 - mmengine - INFO - Epoch(train) [29][1400/1879] lr: 2.0000e-03 eta: 6:44:00 time: 0.6113 data_time: 0.0292 memory: 13723 grad_norm: 3.7941 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0883 loss: 1.0883 2022/08/09 02:29:15 - mmengine - INFO - Epoch(train) [29][1420/1879] lr: 2.0000e-03 eta: 6:43:47 time: 0.5882 data_time: 0.0246 memory: 13723 grad_norm: 3.8665 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2099 loss: 1.2099 2022/08/09 02:29:26 - mmengine - INFO - Epoch(train) [29][1440/1879] lr: 2.0000e-03 eta: 6:43:35 time: 0.5732 data_time: 0.0239 memory: 13723 grad_norm: 3.7967 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8617 loss: 0.8617 2022/08/09 02:29:40 - mmengine - INFO - Epoch(train) [29][1460/1879] lr: 2.0000e-03 eta: 6:43:24 time: 0.6733 data_time: 0.0249 memory: 13723 grad_norm: 3.7017 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0268 loss: 1.0268 2022/08/09 02:29:51 - mmengine - INFO - Epoch(train) [29][1480/1879] lr: 2.0000e-03 eta: 6:43:11 time: 0.5666 data_time: 0.0218 memory: 13723 grad_norm: 3.7914 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9371 loss: 0.9371 2022/08/09 02:30:03 - mmengine - INFO - Epoch(train) [29][1500/1879] lr: 2.0000e-03 eta: 6:42:58 time: 0.5730 data_time: 0.0248 memory: 13723 grad_norm: 3.6746 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2804 loss: 1.2804 2022/08/09 02:30:16 - mmengine - INFO - Epoch(train) [29][1520/1879] lr: 2.0000e-03 eta: 6:42:47 time: 0.6506 data_time: 0.0487 memory: 13723 grad_norm: 3.8699 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0748 loss: 1.0748 2022/08/09 02:30:28 - mmengine - INFO - Epoch(train) [29][1540/1879] lr: 2.0000e-03 eta: 6:42:34 time: 0.5948 data_time: 0.0286 memory: 13723 grad_norm: 3.8332 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0251 loss: 1.0251 2022/08/09 02:30:41 - mmengine - INFO - Epoch(train) [29][1560/1879] lr: 2.0000e-03 eta: 6:42:24 time: 0.6897 data_time: 0.0220 memory: 13723 grad_norm: 3.7569 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0692 loss: 1.0692 2022/08/09 02:30:53 - mmengine - INFO - Epoch(train) [29][1580/1879] lr: 2.0000e-03 eta: 6:42:11 time: 0.5758 data_time: 0.0235 memory: 13723 grad_norm: 3.7430 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0263 loss: 1.0263 2022/08/09 02:31:04 - mmengine - INFO - Epoch(train) [29][1600/1879] lr: 2.0000e-03 eta: 6:41:58 time: 0.5755 data_time: 0.0245 memory: 13723 grad_norm: 3.8103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9832 loss: 0.9832 2022/08/09 02:31:16 - mmengine - INFO - Epoch(train) [29][1620/1879] lr: 2.0000e-03 eta: 6:41:46 time: 0.5865 data_time: 0.0237 memory: 13723 grad_norm: 3.6888 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9743 loss: 0.9743 2022/08/09 02:31:29 - mmengine - INFO - Epoch(train) [29][1640/1879] lr: 2.0000e-03 eta: 6:41:35 time: 0.6664 data_time: 0.0215 memory: 13723 grad_norm: 3.8401 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0138 loss: 1.0138 2022/08/09 02:31:41 - mmengine - INFO - Epoch(train) [29][1660/1879] lr: 2.0000e-03 eta: 6:41:22 time: 0.5808 data_time: 0.0246 memory: 13723 grad_norm: 3.7159 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0371 loss: 1.0371 2022/08/09 02:31:53 - mmengine - INFO - Epoch(train) [29][1680/1879] lr: 2.0000e-03 eta: 6:41:10 time: 0.5729 data_time: 0.0249 memory: 13723 grad_norm: 3.8029 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9826 loss: 0.9826 2022/08/09 02:32:04 - mmengine - INFO - Epoch(train) [29][1700/1879] lr: 2.0000e-03 eta: 6:40:57 time: 0.5891 data_time: 0.0236 memory: 13723 grad_norm: 3.7463 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0557 loss: 1.0557 2022/08/09 02:32:17 - mmengine - INFO - Epoch(train) [29][1720/1879] lr: 2.0000e-03 eta: 6:40:45 time: 0.6299 data_time: 0.0243 memory: 13723 grad_norm: 3.8035 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1422 loss: 1.1422 2022/08/09 02:32:29 - mmengine - INFO - Epoch(train) [29][1740/1879] lr: 2.0000e-03 eta: 6:40:33 time: 0.5786 data_time: 0.0231 memory: 13723 grad_norm: 3.7631 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1948 loss: 1.1948 2022/08/09 02:32:41 - mmengine - INFO - Epoch(train) [29][1760/1879] lr: 2.0000e-03 eta: 6:40:21 time: 0.6061 data_time: 0.0234 memory: 13723 grad_norm: 3.6884 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9932 loss: 0.9932 2022/08/09 02:32:52 - mmengine - INFO - Epoch(train) [29][1780/1879] lr: 2.0000e-03 eta: 6:40:08 time: 0.5793 data_time: 0.0234 memory: 13723 grad_norm: 3.8714 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9976 loss: 0.9976 2022/08/09 02:33:05 - mmengine - INFO - Epoch(train) [29][1800/1879] lr: 2.0000e-03 eta: 6:39:57 time: 0.6512 data_time: 0.0232 memory: 13723 grad_norm: 3.8801 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1343 loss: 1.1343 2022/08/09 02:33:19 - mmengine - INFO - Epoch(train) [29][1820/1879] lr: 2.0000e-03 eta: 6:39:45 time: 0.6750 data_time: 0.0220 memory: 13723 grad_norm: 3.8128 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0095 loss: 1.0095 2022/08/09 02:33:30 - mmengine - INFO - Epoch(train) [29][1840/1879] lr: 2.0000e-03 eta: 6:39:33 time: 0.5741 data_time: 0.0237 memory: 13723 grad_norm: 3.7543 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 0.9640 loss: 0.9640 2022/08/09 02:33:42 - mmengine - INFO - Epoch(train) [29][1860/1879] lr: 2.0000e-03 eta: 6:39:20 time: 0.5848 data_time: 0.0254 memory: 13723 grad_norm: 3.7075 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0332 loss: 1.0332 2022/08/09 02:33:52 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 02:33:52 - mmengine - INFO - Epoch(train) [29][1879/1879] lr: 2.0000e-03 eta: 6:39:20 time: 0.5432 data_time: 0.0173 memory: 13723 grad_norm: 3.9321 top1_acc: 0.2857 top5_acc: 1.0000 loss_cls: 1.1166 loss: 1.1166 2022/08/09 02:34:06 - mmengine - INFO - Epoch(val) [29][20/155] eta: 0:01:32 time: 0.6878 data_time: 0.5474 memory: 1829 2022/08/09 02:34:15 - mmengine - INFO - Epoch(val) [29][40/155] eta: 0:00:51 time: 0.4456 data_time: 0.3051 memory: 1829 2022/08/09 02:34:26 - mmengine - INFO - Epoch(val) [29][60/155] eta: 0:00:51 time: 0.5416 data_time: 0.4030 memory: 1829 2022/08/09 02:34:35 - mmengine - INFO - Epoch(val) [29][80/155] eta: 0:00:33 time: 0.4430 data_time: 0.3047 memory: 1829 2022/08/09 02:34:46 - mmengine - INFO - Epoch(val) [29][100/155] eta: 0:00:31 time: 0.5641 data_time: 0.4256 memory: 1829 2022/08/09 02:34:54 - mmengine - INFO - Epoch(val) [29][120/155] eta: 0:00:13 time: 0.3915 data_time: 0.2537 memory: 1829 2022/08/09 02:35:11 - mmengine - INFO - Epoch(val) [29][140/155] eta: 0:00:12 time: 0.8432 data_time: 0.7043 memory: 1829 2022/08/09 02:35:32 - mmengine - INFO - Epoch(val) [29][155/155] acc/top1: 0.6968 acc/top5: 0.8934 acc/mean1: 0.6967 2022/08/09 02:35:32 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_28.pth is removed 2022/08/09 02:35:34 - mmengine - INFO - The best checkpoint with 0.6968 acc/top1 at 30 epoch is saved to best_acc/top1_epoch_30.pth. 2022/08/09 02:35:50 - mmengine - INFO - Epoch(train) [30][20/1879] lr: 2.0000e-03 eta: 6:38:51 time: 0.8026 data_time: 0.2505 memory: 13723 grad_norm: 3.6412 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0154 loss: 1.0154 2022/08/09 02:36:02 - mmengine - INFO - Epoch(train) [30][40/1879] lr: 2.0000e-03 eta: 6:38:39 time: 0.5858 data_time: 0.0255 memory: 13723 grad_norm: 3.6004 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8318 loss: 0.8318 2022/08/09 02:36:14 - mmengine - INFO - Epoch(train) [30][60/1879] lr: 2.0000e-03 eta: 6:38:27 time: 0.6164 data_time: 0.0243 memory: 13723 grad_norm: 3.8287 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1424 loss: 1.1424 2022/08/09 02:36:25 - mmengine - INFO - Epoch(train) [30][80/1879] lr: 2.0000e-03 eta: 6:38:14 time: 0.5787 data_time: 0.0240 memory: 13723 grad_norm: 3.6646 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0779 loss: 1.0779 2022/08/09 02:36:37 - mmengine - INFO - Epoch(train) [30][100/1879] lr: 2.0000e-03 eta: 6:38:02 time: 0.5848 data_time: 0.0263 memory: 13723 grad_norm: 3.8157 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0109 loss: 1.0109 2022/08/09 02:36:49 - mmengine - INFO - Epoch(train) [30][120/1879] lr: 2.0000e-03 eta: 6:37:49 time: 0.5982 data_time: 0.0233 memory: 13723 grad_norm: 3.7075 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9568 loss: 0.9568 2022/08/09 02:37:01 - mmengine - INFO - Epoch(train) [30][140/1879] lr: 2.0000e-03 eta: 6:37:37 time: 0.5927 data_time: 0.0247 memory: 13723 grad_norm: 3.7993 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0485 loss: 1.0485 2022/08/09 02:37:14 - mmengine - INFO - Epoch(train) [30][160/1879] lr: 2.0000e-03 eta: 6:37:26 time: 0.6560 data_time: 0.0214 memory: 13723 grad_norm: 3.7246 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1048 loss: 1.1048 2022/08/09 02:37:26 - mmengine - INFO - Epoch(train) [30][180/1879] lr: 2.0000e-03 eta: 6:37:14 time: 0.6158 data_time: 0.0217 memory: 13723 grad_norm: 3.7741 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9862 loss: 0.9862 2022/08/09 02:37:38 - mmengine - INFO - Epoch(train) [30][200/1879] lr: 2.0000e-03 eta: 6:37:01 time: 0.5707 data_time: 0.0243 memory: 13723 grad_norm: 3.7006 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0484 loss: 1.0484 2022/08/09 02:37:50 - mmengine - INFO - Epoch(train) [30][220/1879] lr: 2.0000e-03 eta: 6:36:49 time: 0.5824 data_time: 0.0256 memory: 13723 grad_norm: 3.7974 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0209 loss: 1.0209 2022/08/09 02:38:01 - mmengine - INFO - Epoch(train) [30][240/1879] lr: 2.0000e-03 eta: 6:36:36 time: 0.5827 data_time: 0.0244 memory: 13723 grad_norm: 3.6396 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9041 loss: 0.9041 2022/08/09 02:38:13 - mmengine - INFO - Epoch(train) [30][260/1879] lr: 2.0000e-03 eta: 6:36:24 time: 0.5837 data_time: 0.0262 memory: 13723 grad_norm: 3.7354 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9961 loss: 0.9961 2022/08/09 02:38:25 - mmengine - INFO - Epoch(train) [30][280/1879] lr: 2.0000e-03 eta: 6:36:11 time: 0.5822 data_time: 0.0250 memory: 13723 grad_norm: 3.7602 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9307 loss: 0.9307 2022/08/09 02:38:38 - mmengine - INFO - Epoch(train) [30][300/1879] lr: 2.0000e-03 eta: 6:36:00 time: 0.6591 data_time: 0.0217 memory: 13723 grad_norm: 3.7789 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9798 loss: 0.9798 2022/08/09 02:38:49 - mmengine - INFO - Epoch(train) [30][320/1879] lr: 2.0000e-03 eta: 6:35:47 time: 0.5742 data_time: 0.0234 memory: 13723 grad_norm: 3.6739 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8914 loss: 0.8914 2022/08/09 02:39:01 - mmengine - INFO - Epoch(train) [30][340/1879] lr: 2.0000e-03 eta: 6:35:35 time: 0.5781 data_time: 0.0256 memory: 13723 grad_norm: 3.6802 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0403 loss: 1.0403 2022/08/09 02:39:12 - mmengine - INFO - Epoch(train) [30][360/1879] lr: 2.0000e-03 eta: 6:35:22 time: 0.5702 data_time: 0.0250 memory: 13723 grad_norm: 3.7527 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9045 loss: 0.9045 2022/08/09 02:39:24 - mmengine - INFO - Epoch(train) [30][380/1879] lr: 2.0000e-03 eta: 6:35:09 time: 0.5789 data_time: 0.0281 memory: 13723 grad_norm: 3.6917 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9293 loss: 0.9293 2022/08/09 02:39:36 - mmengine - INFO - Epoch(train) [30][400/1879] lr: 2.0000e-03 eta: 6:34:57 time: 0.5953 data_time: 0.0249 memory: 13723 grad_norm: 3.6786 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8853 loss: 0.8853 2022/08/09 02:39:47 - mmengine - INFO - Epoch(train) [30][420/1879] lr: 2.0000e-03 eta: 6:34:45 time: 0.5738 data_time: 0.0224 memory: 13723 grad_norm: 3.7255 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9927 loss: 0.9927 2022/08/09 02:39:59 - mmengine - INFO - Epoch(train) [30][440/1879] lr: 2.0000e-03 eta: 6:34:32 time: 0.5834 data_time: 0.0242 memory: 13723 grad_norm: 3.6955 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0231 loss: 1.0231 2022/08/09 02:40:13 - mmengine - INFO - Epoch(train) [30][460/1879] lr: 2.0000e-03 eta: 6:34:22 time: 0.7204 data_time: 0.0221 memory: 13723 grad_norm: 3.8490 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1056 loss: 1.1056 2022/08/09 02:40:27 - mmengine - INFO - Epoch(train) [30][480/1879] lr: 2.0000e-03 eta: 6:34:10 time: 0.6650 data_time: 0.0235 memory: 13723 grad_norm: 3.8148 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0794 loss: 1.0794 2022/08/09 02:40:38 - mmengine - INFO - Epoch(train) [30][500/1879] lr: 2.0000e-03 eta: 6:33:58 time: 0.5795 data_time: 0.0220 memory: 13723 grad_norm: 3.6966 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9950 loss: 0.9950 2022/08/09 02:40:43 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 02:40:50 - mmengine - INFO - Epoch(train) [30][520/1879] lr: 2.0000e-03 eta: 6:33:45 time: 0.5736 data_time: 0.0260 memory: 13723 grad_norm: 3.8110 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0410 loss: 1.0410 2022/08/09 02:41:04 - mmengine - INFO - Epoch(train) [30][540/1879] lr: 2.0000e-03 eta: 6:33:34 time: 0.7095 data_time: 0.0220 memory: 13723 grad_norm: 3.7064 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0251 loss: 1.0251 2022/08/09 02:41:15 - mmengine - INFO - Epoch(train) [30][560/1879] lr: 2.0000e-03 eta: 6:33:22 time: 0.5620 data_time: 0.0216 memory: 13723 grad_norm: 3.7609 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1509 loss: 1.1509 2022/08/09 02:41:27 - mmengine - INFO - Epoch(train) [30][580/1879] lr: 2.0000e-03 eta: 6:33:09 time: 0.5730 data_time: 0.0241 memory: 13723 grad_norm: 3.7540 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0517 loss: 1.0517 2022/08/09 02:41:38 - mmengine - INFO - Epoch(train) [30][600/1879] lr: 2.0000e-03 eta: 6:32:57 time: 0.5794 data_time: 0.0255 memory: 13723 grad_norm: 3.6686 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9429 loss: 0.9429 2022/08/09 02:41:50 - mmengine - INFO - Epoch(train) [30][620/1879] lr: 2.0000e-03 eta: 6:32:44 time: 0.6030 data_time: 0.0244 memory: 13723 grad_norm: 3.7560 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0058 loss: 1.0058 2022/08/09 02:42:02 - mmengine - INFO - Epoch(train) [30][640/1879] lr: 2.0000e-03 eta: 6:32:32 time: 0.5941 data_time: 0.0246 memory: 13723 grad_norm: 3.7822 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1423 loss: 1.1423 2022/08/09 02:42:14 - mmengine - INFO - Epoch(train) [30][660/1879] lr: 2.0000e-03 eta: 6:32:19 time: 0.5770 data_time: 0.0245 memory: 13723 grad_norm: 3.7416 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0278 loss: 1.0278 2022/08/09 02:42:25 - mmengine - INFO - Epoch(train) [30][680/1879] lr: 2.0000e-03 eta: 6:32:07 time: 0.5829 data_time: 0.0238 memory: 13723 grad_norm: 3.7520 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0082 loss: 1.0082 2022/08/09 02:42:37 - mmengine - INFO - Epoch(train) [30][700/1879] lr: 2.0000e-03 eta: 6:31:55 time: 0.5853 data_time: 0.0255 memory: 13723 grad_norm: 3.7395 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9771 loss: 0.9771 2022/08/09 02:42:50 - mmengine - INFO - Epoch(train) [30][720/1879] lr: 2.0000e-03 eta: 6:31:43 time: 0.6219 data_time: 0.0215 memory: 13723 grad_norm: 3.8717 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1387 loss: 1.1387 2022/08/09 02:43:02 - mmengine - INFO - Epoch(train) [30][740/1879] lr: 2.0000e-03 eta: 6:31:31 time: 0.6321 data_time: 0.0242 memory: 13723 grad_norm: 3.8984 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9651 loss: 0.9651 2022/08/09 02:43:14 - mmengine - INFO - Epoch(train) [30][760/1879] lr: 2.0000e-03 eta: 6:31:18 time: 0.5756 data_time: 0.0239 memory: 13723 grad_norm: 3.7116 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9794 loss: 0.9794 2022/08/09 02:43:26 - mmengine - INFO - Epoch(train) [30][780/1879] lr: 2.0000e-03 eta: 6:31:06 time: 0.6220 data_time: 0.0236 memory: 13723 grad_norm: 3.7391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9429 loss: 0.9429 2022/08/09 02:43:38 - mmengine - INFO - Epoch(train) [30][800/1879] lr: 2.0000e-03 eta: 6:30:54 time: 0.5935 data_time: 0.0229 memory: 13723 grad_norm: 3.6856 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9721 loss: 0.9721 2022/08/09 02:43:50 - mmengine - INFO - Epoch(train) [30][820/1879] lr: 2.0000e-03 eta: 6:30:42 time: 0.5970 data_time: 0.0229 memory: 13723 grad_norm: 3.9193 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1216 loss: 1.1216 2022/08/09 02:44:02 - mmengine - INFO - Epoch(train) [30][840/1879] lr: 2.0000e-03 eta: 6:30:29 time: 0.5764 data_time: 0.0243 memory: 13723 grad_norm: 3.6932 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9919 loss: 0.9919 2022/08/09 02:44:14 - mmengine - INFO - Epoch(train) [30][860/1879] lr: 2.0000e-03 eta: 6:30:17 time: 0.6034 data_time: 0.0252 memory: 13723 grad_norm: 3.6966 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0189 loss: 1.0189 2022/08/09 02:44:25 - mmengine - INFO - Epoch(train) [30][880/1879] lr: 2.0000e-03 eta: 6:30:04 time: 0.5748 data_time: 0.0216 memory: 13723 grad_norm: 3.7411 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.0932 loss: 1.0932 2022/08/09 02:44:38 - mmengine - INFO - Epoch(train) [30][900/1879] lr: 2.0000e-03 eta: 6:29:53 time: 0.6486 data_time: 0.0234 memory: 13723 grad_norm: 3.6449 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0210 loss: 1.0210 2022/08/09 02:44:50 - mmengine - INFO - Epoch(train) [30][920/1879] lr: 2.0000e-03 eta: 6:29:40 time: 0.5798 data_time: 0.0299 memory: 13723 grad_norm: 3.7527 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8951 loss: 0.8951 2022/08/09 02:45:01 - mmengine - INFO - Epoch(train) [30][940/1879] lr: 2.0000e-03 eta: 6:29:28 time: 0.5816 data_time: 0.0243 memory: 13723 grad_norm: 3.7740 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0365 loss: 1.0365 2022/08/09 02:45:14 - mmengine - INFO - Epoch(train) [30][960/1879] lr: 2.0000e-03 eta: 6:29:16 time: 0.6167 data_time: 0.0255 memory: 13723 grad_norm: 3.7117 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1379 loss: 1.1379 2022/08/09 02:45:27 - mmengine - INFO - Epoch(train) [30][980/1879] lr: 2.0000e-03 eta: 6:29:05 time: 0.6635 data_time: 0.0271 memory: 13723 grad_norm: 3.7308 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0500 loss: 1.0500 2022/08/09 02:45:39 - mmengine - INFO - Epoch(train) [30][1000/1879] lr: 2.0000e-03 eta: 6:28:53 time: 0.6198 data_time: 0.0206 memory: 13723 grad_norm: 3.7643 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.0225 loss: 1.0225 2022/08/09 02:45:51 - mmengine - INFO - Epoch(train) [30][1020/1879] lr: 2.0000e-03 eta: 6:28:40 time: 0.5872 data_time: 0.0254 memory: 13723 grad_norm: 3.8600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0263 loss: 1.0263 2022/08/09 02:46:03 - mmengine - INFO - Epoch(train) [30][1040/1879] lr: 2.0000e-03 eta: 6:28:28 time: 0.5957 data_time: 0.0224 memory: 13723 grad_norm: 3.8497 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1428 loss: 1.1428 2022/08/09 02:46:17 - mmengine - INFO - Epoch(train) [30][1060/1879] lr: 2.0000e-03 eta: 6:28:17 time: 0.6832 data_time: 0.0204 memory: 13723 grad_norm: 3.7636 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1187 loss: 1.1187 2022/08/09 02:46:28 - mmengine - INFO - Epoch(train) [30][1080/1879] lr: 2.0000e-03 eta: 6:28:04 time: 0.5810 data_time: 0.0258 memory: 13723 grad_norm: 3.8461 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1765 loss: 1.1765 2022/08/09 02:46:41 - mmengine - INFO - Epoch(train) [30][1100/1879] lr: 2.0000e-03 eta: 6:27:53 time: 0.6352 data_time: 0.0201 memory: 13723 grad_norm: 3.8928 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1154 loss: 1.1154 2022/08/09 02:46:53 - mmengine - INFO - Epoch(train) [30][1120/1879] lr: 2.0000e-03 eta: 6:27:40 time: 0.5816 data_time: 0.0243 memory: 13723 grad_norm: 3.8445 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0837 loss: 1.0837 2022/08/09 02:47:04 - mmengine - INFO - Epoch(train) [30][1140/1879] lr: 2.0000e-03 eta: 6:27:28 time: 0.5792 data_time: 0.0238 memory: 13723 grad_norm: 3.8950 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1451 loss: 1.1451 2022/08/09 02:47:16 - mmengine - INFO - Epoch(train) [30][1160/1879] lr: 2.0000e-03 eta: 6:27:15 time: 0.5819 data_time: 0.0236 memory: 13723 grad_norm: 3.8324 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0498 loss: 1.0498 2022/08/09 02:47:28 - mmengine - INFO - Epoch(train) [30][1180/1879] lr: 2.0000e-03 eta: 6:27:03 time: 0.5876 data_time: 0.0261 memory: 13723 grad_norm: 3.8079 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.9682 loss: 0.9682 2022/08/09 02:47:39 - mmengine - INFO - Epoch(train) [30][1200/1879] lr: 2.0000e-03 eta: 6:26:50 time: 0.5750 data_time: 0.0247 memory: 13723 grad_norm: 3.7704 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9769 loss: 0.9769 2022/08/09 02:47:51 - mmengine - INFO - Epoch(train) [30][1220/1879] lr: 2.0000e-03 eta: 6:26:38 time: 0.5885 data_time: 0.0251 memory: 13723 grad_norm: 3.9336 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0243 loss: 1.0243 2022/08/09 02:48:03 - mmengine - INFO - Epoch(train) [30][1240/1879] lr: 2.0000e-03 eta: 6:26:25 time: 0.5896 data_time: 0.0225 memory: 13723 grad_norm: 3.8308 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0071 loss: 1.0071 2022/08/09 02:48:14 - mmengine - INFO - Epoch(train) [30][1260/1879] lr: 2.0000e-03 eta: 6:26:13 time: 0.5828 data_time: 0.0246 memory: 13723 grad_norm: 3.9230 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0473 loss: 1.0473 2022/08/09 02:48:27 - mmengine - INFO - Epoch(train) [30][1280/1879] lr: 2.0000e-03 eta: 6:26:01 time: 0.6450 data_time: 0.0245 memory: 13723 grad_norm: 3.7288 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9711 loss: 0.9711 2022/08/09 02:48:39 - mmengine - INFO - Epoch(train) [30][1300/1879] lr: 2.0000e-03 eta: 6:25:49 time: 0.5701 data_time: 0.0232 memory: 13723 grad_norm: 3.7589 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1054 loss: 1.1054 2022/08/09 02:48:50 - mmengine - INFO - Epoch(train) [30][1320/1879] lr: 2.0000e-03 eta: 6:25:36 time: 0.5708 data_time: 0.0241 memory: 13723 grad_norm: 3.8304 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0166 loss: 1.0166 2022/08/09 02:49:02 - mmengine - INFO - Epoch(train) [30][1340/1879] lr: 2.0000e-03 eta: 6:25:24 time: 0.5818 data_time: 0.0254 memory: 13723 grad_norm: 3.8137 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0808 loss: 1.0808 2022/08/09 02:49:13 - mmengine - INFO - Epoch(train) [30][1360/1879] lr: 2.0000e-03 eta: 6:25:11 time: 0.5795 data_time: 0.0232 memory: 13723 grad_norm: 3.8437 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1268 loss: 1.1268 2022/08/09 02:49:25 - mmengine - INFO - Epoch(train) [30][1380/1879] lr: 2.0000e-03 eta: 6:24:59 time: 0.5845 data_time: 0.0230 memory: 13723 grad_norm: 3.6614 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9162 loss: 0.9162 2022/08/09 02:49:37 - mmengine - INFO - Epoch(train) [30][1400/1879] lr: 2.0000e-03 eta: 6:24:46 time: 0.5843 data_time: 0.0242 memory: 13723 grad_norm: 3.8652 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1055 loss: 1.1055 2022/08/09 02:49:48 - mmengine - INFO - Epoch(train) [30][1420/1879] lr: 2.0000e-03 eta: 6:24:34 time: 0.5755 data_time: 0.0243 memory: 13723 grad_norm: 3.7840 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9474 loss: 0.9474 2022/08/09 02:50:00 - mmengine - INFO - Epoch(train) [30][1440/1879] lr: 2.0000e-03 eta: 6:24:21 time: 0.5843 data_time: 0.0264 memory: 13723 grad_norm: 3.7003 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1204 loss: 1.1204 2022/08/09 02:50:18 - mmengine - INFO - Epoch(train) [30][1460/1879] lr: 2.0000e-03 eta: 6:24:13 time: 0.8924 data_time: 0.0212 memory: 13723 grad_norm: 3.8067 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0198 loss: 1.0198 2022/08/09 02:50:30 - mmengine - INFO - Epoch(train) [30][1480/1879] lr: 2.0000e-03 eta: 6:24:01 time: 0.5835 data_time: 0.0266 memory: 13723 grad_norm: 3.7815 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0728 loss: 1.0728 2022/08/09 02:50:41 - mmengine - INFO - Epoch(train) [30][1500/1879] lr: 2.0000e-03 eta: 6:23:48 time: 0.5813 data_time: 0.0246 memory: 13723 grad_norm: 3.7235 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0975 loss: 1.0975 2022/08/09 02:50:47 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 02:50:53 - mmengine - INFO - Epoch(train) [30][1520/1879] lr: 2.0000e-03 eta: 6:23:36 time: 0.6053 data_time: 0.0255 memory: 13723 grad_norm: 3.7918 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9099 loss: 0.9099 2022/08/09 02:51:05 - mmengine - INFO - Epoch(train) [30][1540/1879] lr: 2.0000e-03 eta: 6:23:23 time: 0.5780 data_time: 0.0237 memory: 13723 grad_norm: 3.7842 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9991 loss: 0.9991 2022/08/09 02:51:17 - mmengine - INFO - Epoch(train) [30][1560/1879] lr: 2.0000e-03 eta: 6:23:11 time: 0.5860 data_time: 0.0425 memory: 13723 grad_norm: 3.9332 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1543 loss: 1.1543 2022/08/09 02:51:28 - mmengine - INFO - Epoch(train) [30][1580/1879] lr: 2.0000e-03 eta: 6:22:59 time: 0.5798 data_time: 0.0230 memory: 13723 grad_norm: 3.6538 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9246 loss: 0.9246 2022/08/09 02:51:41 - mmengine - INFO - Epoch(train) [30][1600/1879] lr: 2.0000e-03 eta: 6:22:47 time: 0.6481 data_time: 0.0225 memory: 13723 grad_norm: 3.8075 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9202 loss: 0.9202 2022/08/09 02:51:53 - mmengine - INFO - Epoch(train) [30][1620/1879] lr: 2.0000e-03 eta: 6:22:35 time: 0.5915 data_time: 0.0228 memory: 13723 grad_norm: 3.8076 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1469 loss: 1.1469 2022/08/09 02:52:04 - mmengine - INFO - Epoch(train) [30][1640/1879] lr: 2.0000e-03 eta: 6:22:22 time: 0.5685 data_time: 0.0230 memory: 13723 grad_norm: 3.8335 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8882 loss: 0.8882 2022/08/09 02:52:16 - mmengine - INFO - Epoch(train) [30][1660/1879] lr: 2.0000e-03 eta: 6:22:10 time: 0.5979 data_time: 0.0238 memory: 13723 grad_norm: 3.8827 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1642 loss: 1.1642 2022/08/09 02:52:28 - mmengine - INFO - Epoch(train) [30][1680/1879] lr: 2.0000e-03 eta: 6:21:57 time: 0.5812 data_time: 0.0238 memory: 13723 grad_norm: 3.8035 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1713 loss: 1.1713 2022/08/09 02:52:40 - mmengine - INFO - Epoch(train) [30][1700/1879] lr: 2.0000e-03 eta: 6:21:45 time: 0.5820 data_time: 0.0263 memory: 13723 grad_norm: 3.8465 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1305 loss: 1.1305 2022/08/09 02:52:51 - mmengine - INFO - Epoch(train) [30][1720/1879] lr: 2.0000e-03 eta: 6:21:32 time: 0.5746 data_time: 0.0241 memory: 13723 grad_norm: 3.7931 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9952 loss: 0.9952 2022/08/09 02:53:03 - mmengine - INFO - Epoch(train) [30][1740/1879] lr: 2.0000e-03 eta: 6:21:20 time: 0.5769 data_time: 0.0236 memory: 13723 grad_norm: 3.9176 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.1221 loss: 1.1221 2022/08/09 02:53:14 - mmengine - INFO - Epoch(train) [30][1760/1879] lr: 2.0000e-03 eta: 6:21:07 time: 0.5753 data_time: 0.0227 memory: 13723 grad_norm: 3.8412 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9528 loss: 0.9528 2022/08/09 02:53:28 - mmengine - INFO - Epoch(train) [30][1780/1879] lr: 2.0000e-03 eta: 6:20:56 time: 0.6993 data_time: 0.0221 memory: 13723 grad_norm: 3.8456 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0836 loss: 1.0836 2022/08/09 02:53:40 - mmengine - INFO - Epoch(train) [30][1800/1879] lr: 2.0000e-03 eta: 6:20:44 time: 0.5777 data_time: 0.0329 memory: 13723 grad_norm: 3.7453 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0339 loss: 1.0339 2022/08/09 02:53:51 - mmengine - INFO - Epoch(train) [30][1820/1879] lr: 2.0000e-03 eta: 6:20:31 time: 0.5675 data_time: 0.0266 memory: 13723 grad_norm: 3.7857 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0904 loss: 1.0904 2022/08/09 02:54:03 - mmengine - INFO - Epoch(train) [30][1840/1879] lr: 2.0000e-03 eta: 6:20:19 time: 0.6064 data_time: 0.0230 memory: 13723 grad_norm: 3.7949 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0884 loss: 1.0884 2022/08/09 02:54:15 - mmengine - INFO - Epoch(train) [30][1860/1879] lr: 2.0000e-03 eta: 6:20:07 time: 0.5956 data_time: 0.0486 memory: 13723 grad_norm: 3.6817 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0707 loss: 1.0707 2022/08/09 02:54:25 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 02:54:25 - mmengine - INFO - Epoch(train) [30][1879/1879] lr: 2.0000e-03 eta: 6:20:07 time: 0.5380 data_time: 0.0173 memory: 13723 grad_norm: 3.7315 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9371 loss: 0.9371 2022/08/09 02:54:25 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/08/09 02:54:40 - mmengine - INFO - Epoch(val) [30][20/155] eta: 0:01:29 time: 0.6638 data_time: 0.5228 memory: 1829 2022/08/09 02:54:49 - mmengine - INFO - Epoch(val) [30][40/155] eta: 0:00:49 time: 0.4328 data_time: 0.2940 memory: 1829 2022/08/09 02:55:00 - mmengine - INFO - Epoch(val) [30][60/155] eta: 0:00:54 time: 0.5730 data_time: 0.4341 memory: 1829 2022/08/09 02:55:12 - mmengine - INFO - Epoch(val) [30][80/155] eta: 0:00:43 time: 0.5817 data_time: 0.4434 memory: 1829 2022/08/09 02:55:24 - mmengine - INFO - Epoch(val) [30][100/155] eta: 0:00:31 time: 0.5763 data_time: 0.4344 memory: 1829 2022/08/09 02:55:32 - mmengine - INFO - Epoch(val) [30][120/155] eta: 0:00:14 time: 0.4191 data_time: 0.2803 memory: 1829 2022/08/09 02:55:44 - mmengine - INFO - Epoch(val) [30][140/155] eta: 0:00:09 time: 0.6261 data_time: 0.4823 memory: 1829 2022/08/09 02:56:00 - mmengine - INFO - Epoch(val) [30][155/155] acc/top1: 0.7040 acc/top5: 0.8954 acc/mean1: 0.7038 2022/08/09 02:56:01 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_30.pth is removed 2022/08/09 02:56:02 - mmengine - INFO - The best checkpoint with 0.7040 acc/top1 at 31 epoch is saved to best_acc/top1_epoch_31.pth. 2022/08/09 02:56:18 - mmengine - INFO - Epoch(train) [31][20/1879] lr: 2.0000e-03 eta: 6:19:38 time: 0.7866 data_time: 0.2243 memory: 13723 grad_norm: 3.5835 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1102 loss: 1.1102 2022/08/09 02:56:30 - mmengine - INFO - Epoch(train) [31][40/1879] lr: 2.0000e-03 eta: 6:19:26 time: 0.6186 data_time: 0.0233 memory: 13723 grad_norm: 3.7385 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9458 loss: 0.9458 2022/08/09 02:56:42 - mmengine - INFO - Epoch(train) [31][60/1879] lr: 2.0000e-03 eta: 6:19:13 time: 0.5848 data_time: 0.0215 memory: 13723 grad_norm: 3.6877 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8725 loss: 0.8725 2022/08/09 02:56:53 - mmengine - INFO - Epoch(train) [31][80/1879] lr: 2.0000e-03 eta: 6:19:01 time: 0.5760 data_time: 0.0254 memory: 13723 grad_norm: 3.7687 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0903 loss: 1.0903 2022/08/09 02:57:05 - mmengine - INFO - Epoch(train) [31][100/1879] lr: 2.0000e-03 eta: 6:18:48 time: 0.5913 data_time: 0.0222 memory: 13723 grad_norm: 3.7052 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0718 loss: 1.0718 2022/08/09 02:57:17 - mmengine - INFO - Epoch(train) [31][120/1879] lr: 2.0000e-03 eta: 6:18:36 time: 0.6117 data_time: 0.0224 memory: 13723 grad_norm: 3.9001 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9930 loss: 0.9930 2022/08/09 02:57:29 - mmengine - INFO - Epoch(train) [31][140/1879] lr: 2.0000e-03 eta: 6:18:24 time: 0.5831 data_time: 0.0250 memory: 13723 grad_norm: 3.7692 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8893 loss: 0.8893 2022/08/09 02:57:41 - mmengine - INFO - Epoch(train) [31][160/1879] lr: 2.0000e-03 eta: 6:18:12 time: 0.5904 data_time: 0.0243 memory: 13723 grad_norm: 3.6709 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9653 loss: 0.9653 2022/08/09 02:57:53 - mmengine - INFO - Epoch(train) [31][180/1879] lr: 2.0000e-03 eta: 6:18:00 time: 0.6116 data_time: 0.0225 memory: 13723 grad_norm: 3.6787 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0655 loss: 1.0655 2022/08/09 02:58:05 - mmengine - INFO - Epoch(train) [31][200/1879] lr: 2.0000e-03 eta: 6:17:47 time: 0.6039 data_time: 0.0215 memory: 13723 grad_norm: 3.6839 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0352 loss: 1.0352 2022/08/09 02:58:17 - mmengine - INFO - Epoch(train) [31][220/1879] lr: 2.0000e-03 eta: 6:17:35 time: 0.6104 data_time: 0.0233 memory: 13723 grad_norm: 3.7500 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0433 loss: 1.0433 2022/08/09 02:58:30 - mmengine - INFO - Epoch(train) [31][240/1879] lr: 2.0000e-03 eta: 6:17:23 time: 0.6172 data_time: 0.0232 memory: 13723 grad_norm: 3.7468 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0482 loss: 1.0482 2022/08/09 02:58:41 - mmengine - INFO - Epoch(train) [31][260/1879] lr: 2.0000e-03 eta: 6:17:11 time: 0.5754 data_time: 0.0232 memory: 13723 grad_norm: 3.8966 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0877 loss: 1.0877 2022/08/09 02:58:54 - mmengine - INFO - Epoch(train) [31][280/1879] lr: 2.0000e-03 eta: 6:16:59 time: 0.6410 data_time: 0.0238 memory: 13723 grad_norm: 3.8129 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2944 loss: 1.2944 2022/08/09 02:59:06 - mmengine - INFO - Epoch(train) [31][300/1879] lr: 2.0000e-03 eta: 6:16:47 time: 0.5732 data_time: 0.0217 memory: 13723 grad_norm: 3.8584 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9929 loss: 0.9929 2022/08/09 02:59:18 - mmengine - INFO - Epoch(train) [31][320/1879] lr: 2.0000e-03 eta: 6:16:34 time: 0.6057 data_time: 0.0266 memory: 13723 grad_norm: 3.7256 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0776 loss: 1.0776 2022/08/09 02:59:29 - mmengine - INFO - Epoch(train) [31][340/1879] lr: 2.0000e-03 eta: 6:16:22 time: 0.5818 data_time: 0.0232 memory: 13723 grad_norm: 3.7859 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0856 loss: 1.0856 2022/08/09 02:59:41 - mmengine - INFO - Epoch(train) [31][360/1879] lr: 2.0000e-03 eta: 6:16:10 time: 0.5864 data_time: 0.0228 memory: 13723 grad_norm: 3.8137 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.2199 loss: 1.2199 2022/08/09 02:59:53 - mmengine - INFO - Epoch(train) [31][380/1879] lr: 2.0000e-03 eta: 6:15:57 time: 0.5925 data_time: 0.0243 memory: 13723 grad_norm: 3.7788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1012 loss: 1.1012 2022/08/09 03:00:07 - mmengine - INFO - Epoch(train) [31][400/1879] lr: 2.0000e-03 eta: 6:15:46 time: 0.6931 data_time: 0.0217 memory: 13723 grad_norm: 3.8290 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1614 loss: 1.1614 2022/08/09 03:00:20 - mmengine - INFO - Epoch(train) [31][420/1879] lr: 2.0000e-03 eta: 6:15:35 time: 0.6748 data_time: 0.0276 memory: 13723 grad_norm: 3.8085 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0102 loss: 1.0102 2022/08/09 03:00:34 - mmengine - INFO - Epoch(train) [31][440/1879] lr: 2.0000e-03 eta: 6:15:24 time: 0.6826 data_time: 0.0238 memory: 13723 grad_norm: 3.8242 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0421 loss: 1.0421 2022/08/09 03:00:47 - mmengine - INFO - Epoch(train) [31][460/1879] lr: 2.0000e-03 eta: 6:15:12 time: 0.6527 data_time: 0.0209 memory: 13723 grad_norm: 3.7277 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9965 loss: 0.9965 2022/08/09 03:00:59 - mmengine - INFO - Epoch(train) [31][480/1879] lr: 2.0000e-03 eta: 6:15:00 time: 0.6147 data_time: 0.0210 memory: 13723 grad_norm: 3.7979 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9346 loss: 0.9346 2022/08/09 03:01:12 - mmengine - INFO - Epoch(train) [31][500/1879] lr: 2.0000e-03 eta: 6:14:49 time: 0.6326 data_time: 0.0218 memory: 13723 grad_norm: 3.8145 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0644 loss: 1.0644 2022/08/09 03:01:24 - mmengine - INFO - Epoch(train) [31][520/1879] lr: 2.0000e-03 eta: 6:14:36 time: 0.5810 data_time: 0.0234 memory: 13723 grad_norm: 3.8180 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0109 loss: 1.0109 2022/08/09 03:01:37 - mmengine - INFO - Epoch(train) [31][540/1879] lr: 2.0000e-03 eta: 6:14:25 time: 0.6814 data_time: 0.0235 memory: 13723 grad_norm: 3.7918 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8980 loss: 0.8980 2022/08/09 03:01:51 - mmengine - INFO - Epoch(train) [31][560/1879] lr: 2.0000e-03 eta: 6:14:14 time: 0.6762 data_time: 0.0209 memory: 13723 grad_norm: 3.6932 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0466 loss: 1.0466 2022/08/09 03:02:02 - mmengine - INFO - Epoch(train) [31][580/1879] lr: 2.0000e-03 eta: 6:14:01 time: 0.5751 data_time: 0.0241 memory: 13723 grad_norm: 3.7880 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0989 loss: 1.0989 2022/08/09 03:02:14 - mmengine - INFO - Epoch(train) [31][600/1879] lr: 2.0000e-03 eta: 6:13:49 time: 0.5771 data_time: 0.0232 memory: 13723 grad_norm: 3.8463 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0149 loss: 1.0149 2022/08/09 03:02:27 - mmengine - INFO - Epoch(train) [31][620/1879] lr: 2.0000e-03 eta: 6:13:37 time: 0.6633 data_time: 0.0217 memory: 13723 grad_norm: 3.7700 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0446 loss: 1.0446 2022/08/09 03:02:33 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 03:02:39 - mmengine - INFO - Epoch(train) [31][640/1879] lr: 2.0000e-03 eta: 6:13:25 time: 0.5811 data_time: 0.0234 memory: 13723 grad_norm: 3.8040 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0269 loss: 1.0269 2022/08/09 03:02:52 - mmengine - INFO - Epoch(train) [31][660/1879] lr: 2.0000e-03 eta: 6:13:13 time: 0.6395 data_time: 0.0333 memory: 13723 grad_norm: 3.7878 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9630 loss: 0.9630 2022/08/09 03:03:04 - mmengine - INFO - Epoch(train) [31][680/1879] lr: 2.0000e-03 eta: 6:13:01 time: 0.5944 data_time: 0.0213 memory: 13723 grad_norm: 3.7525 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0136 loss: 1.0136 2022/08/09 03:03:15 - mmengine - INFO - Epoch(train) [31][700/1879] lr: 2.0000e-03 eta: 6:12:48 time: 0.5780 data_time: 0.0250 memory: 13723 grad_norm: 3.8034 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8360 loss: 0.8360 2022/08/09 03:03:27 - mmengine - INFO - Epoch(train) [31][720/1879] lr: 2.0000e-03 eta: 6:12:36 time: 0.6004 data_time: 0.0229 memory: 13723 grad_norm: 3.7213 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9828 loss: 0.9828 2022/08/09 03:03:39 - mmengine - INFO - Epoch(train) [31][740/1879] lr: 2.0000e-03 eta: 6:12:24 time: 0.6121 data_time: 0.0219 memory: 13723 grad_norm: 3.7418 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0275 loss: 1.0275 2022/08/09 03:03:51 - mmengine - INFO - Epoch(train) [31][760/1879] lr: 2.0000e-03 eta: 6:12:12 time: 0.6009 data_time: 0.0249 memory: 13723 grad_norm: 3.7525 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1566 loss: 1.1566 2022/08/09 03:04:03 - mmengine - INFO - Epoch(train) [31][780/1879] lr: 2.0000e-03 eta: 6:11:59 time: 0.5862 data_time: 0.0226 memory: 13723 grad_norm: 3.7006 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8329 loss: 0.8329 2022/08/09 03:04:16 - mmengine - INFO - Epoch(train) [31][800/1879] lr: 2.0000e-03 eta: 6:11:48 time: 0.6239 data_time: 0.0230 memory: 13723 grad_norm: 3.7671 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8406 loss: 0.8406 2022/08/09 03:04:29 - mmengine - INFO - Epoch(train) [31][820/1879] lr: 2.0000e-03 eta: 6:11:36 time: 0.6671 data_time: 0.0221 memory: 13723 grad_norm: 3.8817 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0303 loss: 1.0303 2022/08/09 03:04:41 - mmengine - INFO - Epoch(train) [31][840/1879] lr: 2.0000e-03 eta: 6:11:24 time: 0.6044 data_time: 0.0203 memory: 13723 grad_norm: 3.7341 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0338 loss: 1.0338 2022/08/09 03:04:53 - mmengine - INFO - Epoch(train) [31][860/1879] lr: 2.0000e-03 eta: 6:11:12 time: 0.5763 data_time: 0.0239 memory: 13723 grad_norm: 3.7812 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0506 loss: 1.0506 2022/08/09 03:05:04 - mmengine - INFO - Epoch(train) [31][880/1879] lr: 2.0000e-03 eta: 6:10:59 time: 0.5841 data_time: 0.0225 memory: 13723 grad_norm: 3.8735 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1899 loss: 1.1899 2022/08/09 03:05:21 - mmengine - INFO - Epoch(train) [31][900/1879] lr: 2.0000e-03 eta: 6:10:50 time: 0.8487 data_time: 0.0194 memory: 13723 grad_norm: 3.8201 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8640 loss: 0.8640 2022/08/09 03:05:33 - mmengine - INFO - Epoch(train) [31][920/1879] lr: 2.0000e-03 eta: 6:10:37 time: 0.5689 data_time: 0.0245 memory: 13723 grad_norm: 3.9086 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9934 loss: 0.9934 2022/08/09 03:05:44 - mmengine - INFO - Epoch(train) [31][940/1879] lr: 2.0000e-03 eta: 6:10:25 time: 0.5898 data_time: 0.0232 memory: 13723 grad_norm: 3.8787 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9739 loss: 0.9739 2022/08/09 03:05:57 - mmengine - INFO - Epoch(train) [31][960/1879] lr: 2.0000e-03 eta: 6:10:13 time: 0.6156 data_time: 0.0250 memory: 13723 grad_norm: 3.7862 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9895 loss: 0.9895 2022/08/09 03:06:09 - mmengine - INFO - Epoch(train) [31][980/1879] lr: 2.0000e-03 eta: 6:10:01 time: 0.6056 data_time: 0.0226 memory: 13723 grad_norm: 4.0283 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0169 loss: 1.0169 2022/08/09 03:06:20 - mmengine - INFO - Epoch(train) [31][1000/1879] lr: 2.0000e-03 eta: 6:09:48 time: 0.5758 data_time: 0.0231 memory: 13723 grad_norm: 3.7362 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9414 loss: 0.9414 2022/08/09 03:06:32 - mmengine - INFO - Epoch(train) [31][1020/1879] lr: 2.0000e-03 eta: 6:09:36 time: 0.5821 data_time: 0.0239 memory: 13723 grad_norm: 3.9015 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2758 loss: 1.2758 2022/08/09 03:06:44 - mmengine - INFO - Epoch(train) [31][1040/1879] lr: 2.0000e-03 eta: 6:09:24 time: 0.5991 data_time: 0.0246 memory: 13723 grad_norm: 3.6856 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9236 loss: 0.9236 2022/08/09 03:06:56 - mmengine - INFO - Epoch(train) [31][1060/1879] lr: 2.0000e-03 eta: 6:09:11 time: 0.5848 data_time: 0.0235 memory: 13723 grad_norm: 3.8669 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0591 loss: 1.0591 2022/08/09 03:07:08 - mmengine - INFO - Epoch(train) [31][1080/1879] lr: 2.0000e-03 eta: 6:08:59 time: 0.5929 data_time: 0.0235 memory: 13723 grad_norm: 3.8801 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9622 loss: 0.9622 2022/08/09 03:07:20 - mmengine - INFO - Epoch(train) [31][1100/1879] lr: 2.0000e-03 eta: 6:08:47 time: 0.5973 data_time: 0.0367 memory: 13723 grad_norm: 3.8287 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0465 loss: 1.0465 2022/08/09 03:07:32 - mmengine - INFO - Epoch(train) [31][1120/1879] lr: 2.0000e-03 eta: 6:08:35 time: 0.6040 data_time: 0.0458 memory: 13723 grad_norm: 3.7895 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0521 loss: 1.0521 2022/08/09 03:07:43 - mmengine - INFO - Epoch(train) [31][1140/1879] lr: 2.0000e-03 eta: 6:08:22 time: 0.5748 data_time: 0.0242 memory: 13723 grad_norm: 3.7520 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0313 loss: 1.0313 2022/08/09 03:07:56 - mmengine - INFO - Epoch(train) [31][1160/1879] lr: 2.0000e-03 eta: 6:08:10 time: 0.6348 data_time: 0.0240 memory: 13723 grad_norm: 3.7756 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9778 loss: 0.9778 2022/08/09 03:08:07 - mmengine - INFO - Epoch(train) [31][1180/1879] lr: 2.0000e-03 eta: 6:07:58 time: 0.5746 data_time: 0.0224 memory: 13723 grad_norm: 3.8692 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8788 loss: 0.8788 2022/08/09 03:08:19 - mmengine - INFO - Epoch(train) [31][1200/1879] lr: 2.0000e-03 eta: 6:07:46 time: 0.5941 data_time: 0.0239 memory: 13723 grad_norm: 3.8280 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7663 loss: 0.7663 2022/08/09 03:08:31 - mmengine - INFO - Epoch(train) [31][1220/1879] lr: 2.0000e-03 eta: 6:07:33 time: 0.6034 data_time: 0.0266 memory: 13723 grad_norm: 3.8600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9381 loss: 0.9381 2022/08/09 03:08:43 - mmengine - INFO - Epoch(train) [31][1240/1879] lr: 2.0000e-03 eta: 6:07:21 time: 0.6043 data_time: 0.0226 memory: 13723 grad_norm: 3.8816 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2971 loss: 1.2971 2022/08/09 03:08:55 - mmengine - INFO - Epoch(train) [31][1260/1879] lr: 2.0000e-03 eta: 6:07:09 time: 0.5824 data_time: 0.0216 memory: 13723 grad_norm: 3.6957 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9987 loss: 0.9987 2022/08/09 03:09:08 - mmengine - INFO - Epoch(train) [31][1280/1879] lr: 2.0000e-03 eta: 6:06:57 time: 0.6442 data_time: 0.0225 memory: 13723 grad_norm: 3.7003 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1041 loss: 1.1041 2022/08/09 03:09:20 - mmengine - INFO - Epoch(train) [31][1300/1879] lr: 2.0000e-03 eta: 6:06:45 time: 0.5791 data_time: 0.0270 memory: 13723 grad_norm: 3.6642 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8693 loss: 0.8693 2022/08/09 03:09:31 - mmengine - INFO - Epoch(train) [31][1320/1879] lr: 2.0000e-03 eta: 6:06:32 time: 0.5935 data_time: 0.0249 memory: 13723 grad_norm: 3.8162 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0507 loss: 1.0507 2022/08/09 03:09:45 - mmengine - INFO - Epoch(train) [31][1340/1879] lr: 2.0000e-03 eta: 6:06:21 time: 0.6547 data_time: 0.0223 memory: 13723 grad_norm: 3.8859 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1506 loss: 1.1506 2022/08/09 03:09:56 - mmengine - INFO - Epoch(train) [31][1360/1879] lr: 2.0000e-03 eta: 6:06:08 time: 0.5782 data_time: 0.0236 memory: 13723 grad_norm: 3.9514 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1786 loss: 1.1786 2022/08/09 03:10:08 - mmengine - INFO - Epoch(train) [31][1380/1879] lr: 2.0000e-03 eta: 6:05:56 time: 0.5696 data_time: 0.0258 memory: 13723 grad_norm: 3.8831 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0968 loss: 1.0968 2022/08/09 03:10:24 - mmengine - INFO - Epoch(train) [31][1400/1879] lr: 2.0000e-03 eta: 6:05:46 time: 0.8157 data_time: 0.0218 memory: 13723 grad_norm: 3.8725 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0746 loss: 1.0746 2022/08/09 03:10:35 - mmengine - INFO - Epoch(train) [31][1420/1879] lr: 2.0000e-03 eta: 6:05:34 time: 0.5810 data_time: 0.0269 memory: 13723 grad_norm: 3.8248 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9494 loss: 0.9494 2022/08/09 03:10:48 - mmengine - INFO - Epoch(train) [31][1440/1879] lr: 2.0000e-03 eta: 6:05:22 time: 0.6194 data_time: 0.0195 memory: 13723 grad_norm: 3.6554 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8168 loss: 0.8168 2022/08/09 03:11:00 - mmengine - INFO - Epoch(train) [31][1460/1879] lr: 2.0000e-03 eta: 6:05:09 time: 0.5891 data_time: 0.0248 memory: 13723 grad_norm: 3.7878 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0719 loss: 1.0719 2022/08/09 03:11:12 - mmengine - INFO - Epoch(train) [31][1480/1879] lr: 2.0000e-03 eta: 6:04:57 time: 0.6023 data_time: 0.0250 memory: 13723 grad_norm: 3.8997 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0197 loss: 1.0197 2022/08/09 03:11:24 - mmengine - INFO - Epoch(train) [31][1500/1879] lr: 2.0000e-03 eta: 6:04:45 time: 0.5908 data_time: 0.0223 memory: 13723 grad_norm: 3.9516 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0044 loss: 1.0044 2022/08/09 03:11:37 - mmengine - INFO - Epoch(train) [31][1520/1879] lr: 2.0000e-03 eta: 6:04:33 time: 0.6498 data_time: 0.0231 memory: 13723 grad_norm: 3.7993 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9771 loss: 0.9771 2022/08/09 03:11:48 - mmengine - INFO - Epoch(train) [31][1540/1879] lr: 2.0000e-03 eta: 6:04:21 time: 0.5737 data_time: 0.0224 memory: 13723 grad_norm: 3.8100 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0694 loss: 1.0694 2022/08/09 03:12:00 - mmengine - INFO - Epoch(train) [31][1560/1879] lr: 2.0000e-03 eta: 6:04:08 time: 0.5843 data_time: 0.0235 memory: 13723 grad_norm: 3.8885 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1198 loss: 1.1198 2022/08/09 03:12:11 - mmengine - INFO - Epoch(train) [31][1580/1879] lr: 2.0000e-03 eta: 6:03:56 time: 0.5790 data_time: 0.0239 memory: 13723 grad_norm: 3.8364 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0404 loss: 1.0404 2022/08/09 03:12:23 - mmengine - INFO - Epoch(train) [31][1600/1879] lr: 2.0000e-03 eta: 6:03:44 time: 0.6031 data_time: 0.0219 memory: 13723 grad_norm: 3.8522 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0099 loss: 1.0099 2022/08/09 03:12:36 - mmengine - INFO - Epoch(train) [31][1620/1879] lr: 2.0000e-03 eta: 6:03:32 time: 0.6148 data_time: 0.0238 memory: 13723 grad_norm: 3.7655 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9389 loss: 0.9389 2022/08/09 03:12:42 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 03:12:48 - mmengine - INFO - Epoch(train) [31][1640/1879] lr: 2.0000e-03 eta: 6:03:19 time: 0.5944 data_time: 0.0218 memory: 13723 grad_norm: 3.9611 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0004 loss: 1.0004 2022/08/09 03:12:59 - mmengine - INFO - Epoch(train) [31][1660/1879] lr: 2.0000e-03 eta: 6:03:07 time: 0.5837 data_time: 0.0254 memory: 13723 grad_norm: 3.7562 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9495 loss: 0.9495 2022/08/09 03:13:12 - mmengine - INFO - Epoch(train) [31][1680/1879] lr: 2.0000e-03 eta: 6:02:55 time: 0.6326 data_time: 0.0242 memory: 13723 grad_norm: 3.7690 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9255 loss: 0.9255 2022/08/09 03:13:24 - mmengine - INFO - Epoch(train) [31][1700/1879] lr: 2.0000e-03 eta: 6:02:43 time: 0.5802 data_time: 0.0233 memory: 13723 grad_norm: 3.8846 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0686 loss: 1.0686 2022/08/09 03:13:37 - mmengine - INFO - Epoch(train) [31][1720/1879] lr: 2.0000e-03 eta: 6:02:31 time: 0.6631 data_time: 0.0207 memory: 13723 grad_norm: 3.8645 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0953 loss: 1.0953 2022/08/09 03:13:48 - mmengine - INFO - Epoch(train) [31][1740/1879] lr: 2.0000e-03 eta: 6:02:19 time: 0.5741 data_time: 0.0241 memory: 13723 grad_norm: 3.7568 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9649 loss: 0.9649 2022/08/09 03:14:00 - mmengine - INFO - Epoch(train) [31][1760/1879] lr: 2.0000e-03 eta: 6:02:06 time: 0.5812 data_time: 0.0245 memory: 13723 grad_norm: 3.7638 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0784 loss: 1.0784 2022/08/09 03:14:12 - mmengine - INFO - Epoch(train) [31][1780/1879] lr: 2.0000e-03 eta: 6:01:54 time: 0.6165 data_time: 0.0226 memory: 13723 grad_norm: 3.8890 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9468 loss: 0.9468 2022/08/09 03:14:25 - mmengine - INFO - Epoch(train) [31][1800/1879] lr: 2.0000e-03 eta: 6:01:42 time: 0.6197 data_time: 0.0226 memory: 13723 grad_norm: 3.8586 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1163 loss: 1.1163 2022/08/09 03:14:36 - mmengine - INFO - Epoch(train) [31][1820/1879] lr: 2.0000e-03 eta: 6:01:30 time: 0.5818 data_time: 0.0240 memory: 13723 grad_norm: 3.8484 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9865 loss: 0.9865 2022/08/09 03:14:48 - mmengine - INFO - Epoch(train) [31][1840/1879] lr: 2.0000e-03 eta: 6:01:18 time: 0.5998 data_time: 0.0228 memory: 13723 grad_norm: 3.9231 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9787 loss: 0.9787 2022/08/09 03:15:00 - mmengine - INFO - Epoch(train) [31][1860/1879] lr: 2.0000e-03 eta: 6:01:05 time: 0.5908 data_time: 0.0260 memory: 13723 grad_norm: 3.8728 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8855 loss: 0.8855 2022/08/09 03:15:17 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 03:15:17 - mmengine - INFO - Epoch(train) [31][1879/1879] lr: 2.0000e-03 eta: 6:01:05 time: 0.8526 data_time: 0.0172 memory: 13723 grad_norm: 3.9863 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.0953 loss: 1.0953 2022/08/09 03:15:30 - mmengine - INFO - Epoch(val) [31][20/155] eta: 0:01:27 time: 0.6485 data_time: 0.5082 memory: 1829 2022/08/09 03:15:38 - mmengine - INFO - Epoch(val) [31][40/155] eta: 0:00:47 time: 0.4149 data_time: 0.2760 memory: 1829 2022/08/09 03:15:49 - mmengine - INFO - Epoch(val) [31][60/155] eta: 0:00:53 time: 0.5641 data_time: 0.4202 memory: 1829 2022/08/09 03:15:58 - mmengine - INFO - Epoch(val) [31][80/155] eta: 0:00:33 time: 0.4442 data_time: 0.3055 memory: 1829 2022/08/09 03:16:10 - mmengine - INFO - Epoch(val) [31][100/155] eta: 0:00:32 time: 0.5872 data_time: 0.4486 memory: 1829 2022/08/09 03:16:18 - mmengine - INFO - Epoch(val) [31][120/155] eta: 0:00:14 time: 0.4109 data_time: 0.2716 memory: 1829 2022/08/09 03:16:30 - mmengine - INFO - Epoch(val) [31][140/155] eta: 0:00:09 time: 0.6036 data_time: 0.4650 memory: 1829 2022/08/09 03:16:52 - mmengine - INFO - Epoch(val) [31][155/155] acc/top1: 0.7042 acc/top5: 0.8947 acc/mean1: 0.7041 2022/08/09 03:16:52 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_31.pth is removed 2022/08/09 03:16:54 - mmengine - INFO - The best checkpoint with 0.7042 acc/top1 at 32 epoch is saved to best_acc/top1_epoch_32.pth. 2022/08/09 03:17:11 - mmengine - INFO - Epoch(train) [32][20/1879] lr: 2.0000e-03 eta: 6:00:38 time: 0.8681 data_time: 0.2363 memory: 13723 grad_norm: 3.7640 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2135 loss: 1.2135 2022/08/09 03:17:23 - mmengine - INFO - Epoch(train) [32][40/1879] lr: 2.0000e-03 eta: 6:00:26 time: 0.6129 data_time: 0.0210 memory: 13723 grad_norm: 3.8294 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9805 loss: 0.9805 2022/08/09 03:17:35 - mmengine - INFO - Epoch(train) [32][60/1879] lr: 2.0000e-03 eta: 6:00:14 time: 0.6055 data_time: 0.0227 memory: 13723 grad_norm: 3.7486 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1039 loss: 1.1039 2022/08/09 03:17:47 - mmengine - INFO - Epoch(train) [32][80/1879] lr: 2.0000e-03 eta: 6:00:01 time: 0.5704 data_time: 0.0229 memory: 13723 grad_norm: 3.7239 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0809 loss: 1.0809 2022/08/09 03:17:58 - mmengine - INFO - Epoch(train) [32][100/1879] lr: 2.0000e-03 eta: 5:59:49 time: 0.5835 data_time: 0.0243 memory: 13723 grad_norm: 3.8273 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0176 loss: 1.0176 2022/08/09 03:18:11 - mmengine - INFO - Epoch(train) [32][120/1879] lr: 2.0000e-03 eta: 5:59:37 time: 0.6218 data_time: 0.0248 memory: 13723 grad_norm: 3.8206 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0435 loss: 1.0435 2022/08/09 03:18:23 - mmengine - INFO - Epoch(train) [32][140/1879] lr: 2.0000e-03 eta: 5:59:24 time: 0.5814 data_time: 0.0241 memory: 13723 grad_norm: 3.8256 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9997 loss: 0.9997 2022/08/09 03:18:34 - mmengine - INFO - Epoch(train) [32][160/1879] lr: 2.0000e-03 eta: 5:59:12 time: 0.5844 data_time: 0.0238 memory: 13723 grad_norm: 3.8545 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0246 loss: 1.0246 2022/08/09 03:18:46 - mmengine - INFO - Epoch(train) [32][180/1879] lr: 2.0000e-03 eta: 5:58:59 time: 0.5695 data_time: 0.0237 memory: 13723 grad_norm: 3.7966 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9633 loss: 0.9633 2022/08/09 03:18:58 - mmengine - INFO - Epoch(train) [32][200/1879] lr: 2.0000e-03 eta: 5:58:48 time: 0.6378 data_time: 0.0226 memory: 13723 grad_norm: 3.8290 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8312 loss: 0.8312 2022/08/09 03:19:10 - mmengine - INFO - Epoch(train) [32][220/1879] lr: 2.0000e-03 eta: 5:58:35 time: 0.5930 data_time: 0.0244 memory: 13723 grad_norm: 3.7658 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0632 loss: 1.0632 2022/08/09 03:19:22 - mmengine - INFO - Epoch(train) [32][240/1879] lr: 2.0000e-03 eta: 5:58:23 time: 0.5923 data_time: 0.0477 memory: 13723 grad_norm: 3.8344 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9709 loss: 0.9709 2022/08/09 03:19:34 - mmengine - INFO - Epoch(train) [32][260/1879] lr: 2.0000e-03 eta: 5:58:10 time: 0.5724 data_time: 0.0264 memory: 13723 grad_norm: 3.8718 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8809 loss: 0.8809 2022/08/09 03:19:45 - mmengine - INFO - Epoch(train) [32][280/1879] lr: 2.0000e-03 eta: 5:57:58 time: 0.5862 data_time: 0.0227 memory: 13723 grad_norm: 3.8840 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0891 loss: 1.0891 2022/08/09 03:19:59 - mmengine - INFO - Epoch(train) [32][300/1879] lr: 2.0000e-03 eta: 5:57:47 time: 0.6655 data_time: 0.0217 memory: 13723 grad_norm: 3.8217 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0599 loss: 1.0599 2022/08/09 03:20:14 - mmengine - INFO - Epoch(train) [32][320/1879] lr: 2.0000e-03 eta: 5:57:37 time: 0.7665 data_time: 0.0241 memory: 13723 grad_norm: 3.7868 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9745 loss: 0.9745 2022/08/09 03:20:26 - mmengine - INFO - Epoch(train) [32][340/1879] lr: 2.0000e-03 eta: 5:57:24 time: 0.6079 data_time: 0.0242 memory: 13723 grad_norm: 3.8347 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9835 loss: 0.9835 2022/08/09 03:20:41 - mmengine - INFO - Epoch(train) [32][360/1879] lr: 2.0000e-03 eta: 5:57:14 time: 0.7192 data_time: 0.0210 memory: 13723 grad_norm: 3.7831 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9161 loss: 0.9161 2022/08/09 03:20:52 - mmengine - INFO - Epoch(train) [32][380/1879] lr: 2.0000e-03 eta: 5:57:01 time: 0.5776 data_time: 0.0249 memory: 13723 grad_norm: 3.9203 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9942 loss: 0.9942 2022/08/09 03:21:05 - mmengine - INFO - Epoch(train) [32][400/1879] lr: 2.0000e-03 eta: 5:56:49 time: 0.6418 data_time: 0.0218 memory: 13723 grad_norm: 3.6909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9788 loss: 0.9788 2022/08/09 03:21:18 - mmengine - INFO - Epoch(train) [32][420/1879] lr: 2.0000e-03 eta: 5:56:38 time: 0.6621 data_time: 0.0200 memory: 13723 grad_norm: 3.7773 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8848 loss: 0.8848 2022/08/09 03:21:30 - mmengine - INFO - Epoch(train) [32][440/1879] lr: 2.0000e-03 eta: 5:56:26 time: 0.5828 data_time: 0.0247 memory: 13723 grad_norm: 3.8902 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9370 loss: 0.9370 2022/08/09 03:21:43 - mmengine - INFO - Epoch(train) [32][460/1879] lr: 2.0000e-03 eta: 5:56:14 time: 0.6715 data_time: 0.0208 memory: 13723 grad_norm: 3.8000 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9372 loss: 0.9372 2022/08/09 03:21:57 - mmengine - INFO - Epoch(train) [32][480/1879] lr: 2.0000e-03 eta: 5:56:03 time: 0.6727 data_time: 0.0195 memory: 13723 grad_norm: 3.8670 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9209 loss: 0.9209 2022/08/09 03:22:11 - mmengine - INFO - Epoch(train) [32][500/1879] lr: 2.0000e-03 eta: 5:55:52 time: 0.7201 data_time: 0.0216 memory: 13723 grad_norm: 3.7738 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0630 loss: 1.0630 2022/08/09 03:22:24 - mmengine - INFO - Epoch(train) [32][520/1879] lr: 2.0000e-03 eta: 5:55:40 time: 0.6395 data_time: 0.0221 memory: 13723 grad_norm: 3.8122 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8282 loss: 0.8282 2022/08/09 03:22:37 - mmengine - INFO - Epoch(train) [32][540/1879] lr: 2.0000e-03 eta: 5:55:29 time: 0.6323 data_time: 0.0228 memory: 13723 grad_norm: 3.8490 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8067 loss: 0.8067 2022/08/09 03:22:48 - mmengine - INFO - Epoch(train) [32][560/1879] lr: 2.0000e-03 eta: 5:55:16 time: 0.5759 data_time: 0.0233 memory: 13723 grad_norm: 3.8353 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0990 loss: 1.0990 2022/08/09 03:23:00 - mmengine - INFO - Epoch(train) [32][580/1879] lr: 2.0000e-03 eta: 5:55:04 time: 0.5833 data_time: 0.0258 memory: 13723 grad_norm: 3.7246 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0759 loss: 1.0759 2022/08/09 03:23:12 - mmengine - INFO - Epoch(train) [32][600/1879] lr: 2.0000e-03 eta: 5:54:51 time: 0.5911 data_time: 0.0222 memory: 13723 grad_norm: 3.9498 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0500 loss: 1.0500 2022/08/09 03:23:25 - mmengine - INFO - Epoch(train) [32][620/1879] lr: 2.0000e-03 eta: 5:54:40 time: 0.6792 data_time: 0.0220 memory: 13723 grad_norm: 3.8024 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9393 loss: 0.9393 2022/08/09 03:23:41 - mmengine - INFO - Epoch(train) [32][640/1879] lr: 2.0000e-03 eta: 5:54:30 time: 0.7822 data_time: 0.0193 memory: 13723 grad_norm: 3.8839 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0796 loss: 1.0796 2022/08/09 03:23:52 - mmengine - INFO - Epoch(train) [32][660/1879] lr: 2.0000e-03 eta: 5:54:17 time: 0.5701 data_time: 0.0238 memory: 13723 grad_norm: 3.8324 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.8838 loss: 0.8838 2022/08/09 03:24:04 - mmengine - INFO - Epoch(train) [32][680/1879] lr: 2.0000e-03 eta: 5:54:05 time: 0.5792 data_time: 0.0257 memory: 13723 grad_norm: 3.8479 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9682 loss: 0.9682 2022/08/09 03:24:17 - mmengine - INFO - Epoch(train) [32][700/1879] lr: 2.0000e-03 eta: 5:53:53 time: 0.6485 data_time: 0.0217 memory: 13723 grad_norm: 3.8844 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0101 loss: 1.0101 2022/08/09 03:24:31 - mmengine - INFO - Epoch(train) [32][720/1879] lr: 2.0000e-03 eta: 5:53:43 time: 0.7255 data_time: 0.0228 memory: 13723 grad_norm: 3.8121 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9842 loss: 0.9842 2022/08/09 03:24:43 - mmengine - INFO - Epoch(train) [32][740/1879] lr: 2.0000e-03 eta: 5:53:30 time: 0.5809 data_time: 0.0248 memory: 13723 grad_norm: 3.9069 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0852 loss: 1.0852 2022/08/09 03:24:52 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 03:24:57 - mmengine - INFO - Epoch(train) [32][760/1879] lr: 2.0000e-03 eta: 5:53:19 time: 0.6881 data_time: 0.0214 memory: 13723 grad_norm: 3.7629 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9295 loss: 0.9295 2022/08/09 03:25:08 - mmengine - INFO - Epoch(train) [32][780/1879] lr: 2.0000e-03 eta: 5:53:07 time: 0.5814 data_time: 0.0229 memory: 13723 grad_norm: 3.8150 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9913 loss: 0.9913 2022/08/09 03:25:23 - mmengine - INFO - Epoch(train) [32][800/1879] lr: 2.0000e-03 eta: 5:52:56 time: 0.7107 data_time: 0.0223 memory: 13723 grad_norm: 3.9351 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9731 loss: 0.9731 2022/08/09 03:25:36 - mmengine - INFO - Epoch(train) [32][820/1879] lr: 2.0000e-03 eta: 5:52:44 time: 0.6478 data_time: 0.0218 memory: 13723 grad_norm: 3.7361 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8879 loss: 0.8879 2022/08/09 03:25:47 - mmengine - INFO - Epoch(train) [32][840/1879] lr: 2.0000e-03 eta: 5:52:32 time: 0.5757 data_time: 0.0246 memory: 13723 grad_norm: 3.8788 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1232 loss: 1.1232 2022/08/09 03:25:59 - mmengine - INFO - Epoch(train) [32][860/1879] lr: 2.0000e-03 eta: 5:52:19 time: 0.5779 data_time: 0.0263 memory: 13723 grad_norm: 3.8746 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9007 loss: 0.9007 2022/08/09 03:26:10 - mmengine - INFO - Epoch(train) [32][880/1879] lr: 2.0000e-03 eta: 5:52:07 time: 0.5757 data_time: 0.0260 memory: 13723 grad_norm: 3.7799 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9306 loss: 0.9306 2022/08/09 03:26:22 - mmengine - INFO - Epoch(train) [32][900/1879] lr: 2.0000e-03 eta: 5:51:54 time: 0.5724 data_time: 0.0246 memory: 13723 grad_norm: 3.7188 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9796 loss: 0.9796 2022/08/09 03:26:33 - mmengine - INFO - Epoch(train) [32][920/1879] lr: 2.0000e-03 eta: 5:51:42 time: 0.5842 data_time: 0.0225 memory: 13723 grad_norm: 3.9060 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2447 loss: 1.2447 2022/08/09 03:26:45 - mmengine - INFO - Epoch(train) [32][940/1879] lr: 2.0000e-03 eta: 5:51:29 time: 0.5980 data_time: 0.0242 memory: 13723 grad_norm: 3.9253 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9905 loss: 0.9905 2022/08/09 03:26:57 - mmengine - INFO - Epoch(train) [32][960/1879] lr: 2.0000e-03 eta: 5:51:17 time: 0.5783 data_time: 0.0246 memory: 13723 grad_norm: 3.8782 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1139 loss: 1.1139 2022/08/09 03:27:09 - mmengine - INFO - Epoch(train) [32][980/1879] lr: 2.0000e-03 eta: 5:51:04 time: 0.5796 data_time: 0.0224 memory: 13723 grad_norm: 3.7124 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9429 loss: 0.9429 2022/08/09 03:27:20 - mmengine - INFO - Epoch(train) [32][1000/1879] lr: 2.0000e-03 eta: 5:50:52 time: 0.5719 data_time: 0.0244 memory: 13723 grad_norm: 3.9832 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9497 loss: 0.9497 2022/08/09 03:27:32 - mmengine - INFO - Epoch(train) [32][1020/1879] lr: 2.0000e-03 eta: 5:50:39 time: 0.5794 data_time: 0.0246 memory: 13723 grad_norm: 3.9387 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9687 loss: 0.9687 2022/08/09 03:27:43 - mmengine - INFO - Epoch(train) [32][1040/1879] lr: 2.0000e-03 eta: 5:50:27 time: 0.5858 data_time: 0.0243 memory: 13723 grad_norm: 3.8151 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0505 loss: 1.0505 2022/08/09 03:27:55 - mmengine - INFO - Epoch(train) [32][1060/1879] lr: 2.0000e-03 eta: 5:50:15 time: 0.5795 data_time: 0.0252 memory: 13723 grad_norm: 3.8595 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9626 loss: 0.9626 2022/08/09 03:28:09 - mmengine - INFO - Epoch(train) [32][1080/1879] lr: 2.0000e-03 eta: 5:50:04 time: 0.7069 data_time: 0.0228 memory: 13723 grad_norm: 3.7530 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0195 loss: 1.0195 2022/08/09 03:28:21 - mmengine - INFO - Epoch(train) [32][1100/1879] lr: 2.0000e-03 eta: 5:49:51 time: 0.5943 data_time: 0.0205 memory: 13723 grad_norm: 3.7408 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9297 loss: 0.9297 2022/08/09 03:28:32 - mmengine - INFO - Epoch(train) [32][1120/1879] lr: 2.0000e-03 eta: 5:49:39 time: 0.5734 data_time: 0.0286 memory: 13723 grad_norm: 3.9343 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1278 loss: 1.1278 2022/08/09 03:28:44 - mmengine - INFO - Epoch(train) [32][1140/1879] lr: 2.0000e-03 eta: 5:49:26 time: 0.5768 data_time: 0.0327 memory: 13723 grad_norm: 3.8709 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9444 loss: 0.9444 2022/08/09 03:28:56 - mmengine - INFO - Epoch(train) [32][1160/1879] lr: 2.0000e-03 eta: 5:49:14 time: 0.5799 data_time: 0.0267 memory: 13723 grad_norm: 3.9714 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0056 loss: 1.0056 2022/08/09 03:29:07 - mmengine - INFO - Epoch(train) [32][1180/1879] lr: 2.0000e-03 eta: 5:49:02 time: 0.5834 data_time: 0.0239 memory: 13723 grad_norm: 3.8027 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1368 loss: 1.1368 2022/08/09 03:29:19 - mmengine - INFO - Epoch(train) [32][1200/1879] lr: 2.0000e-03 eta: 5:48:49 time: 0.6019 data_time: 0.0522 memory: 13723 grad_norm: 3.9180 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0212 loss: 1.0212 2022/08/09 03:29:31 - mmengine - INFO - Epoch(train) [32][1220/1879] lr: 2.0000e-03 eta: 5:48:37 time: 0.5903 data_time: 0.0414 memory: 13723 grad_norm: 3.9076 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0705 loss: 1.0705 2022/08/09 03:29:43 - mmengine - INFO - Epoch(train) [32][1240/1879] lr: 2.0000e-03 eta: 5:48:25 time: 0.5835 data_time: 0.0243 memory: 13723 grad_norm: 3.8782 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0637 loss: 1.0637 2022/08/09 03:29:56 - mmengine - INFO - Epoch(train) [32][1260/1879] lr: 2.0000e-03 eta: 5:48:13 time: 0.6487 data_time: 0.0210 memory: 13723 grad_norm: 3.9119 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0097 loss: 1.0097 2022/08/09 03:30:07 - mmengine - INFO - Epoch(train) [32][1280/1879] lr: 2.0000e-03 eta: 5:48:01 time: 0.5779 data_time: 0.0247 memory: 13723 grad_norm: 4.0523 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2002 loss: 1.2002 2022/08/09 03:30:21 - mmengine - INFO - Epoch(train) [32][1300/1879] lr: 2.0000e-03 eta: 5:47:49 time: 0.6758 data_time: 0.0446 memory: 13723 grad_norm: 3.8930 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1342 loss: 1.1342 2022/08/09 03:30:34 - mmengine - INFO - Epoch(train) [32][1320/1879] lr: 2.0000e-03 eta: 5:47:37 time: 0.6361 data_time: 0.0286 memory: 13723 grad_norm: 3.9188 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9514 loss: 0.9514 2022/08/09 03:30:46 - mmengine - INFO - Epoch(train) [32][1340/1879] lr: 2.0000e-03 eta: 5:47:25 time: 0.6007 data_time: 0.0431 memory: 13723 grad_norm: 3.8228 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9170 loss: 0.9170 2022/08/09 03:30:57 - mmengine - INFO - Epoch(train) [32][1360/1879] lr: 2.0000e-03 eta: 5:47:13 time: 0.5861 data_time: 0.0235 memory: 13723 grad_norm: 3.8006 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9295 loss: 0.9295 2022/08/09 03:31:09 - mmengine - INFO - Epoch(train) [32][1380/1879] lr: 2.0000e-03 eta: 5:47:00 time: 0.5776 data_time: 0.0271 memory: 13723 grad_norm: 3.8804 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8518 loss: 0.8518 2022/08/09 03:31:20 - mmengine - INFO - Epoch(train) [32][1400/1879] lr: 2.0000e-03 eta: 5:46:48 time: 0.5769 data_time: 0.0239 memory: 13723 grad_norm: 3.9237 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9610 loss: 0.9610 2022/08/09 03:31:32 - mmengine - INFO - Epoch(train) [32][1420/1879] lr: 2.0000e-03 eta: 5:46:35 time: 0.5786 data_time: 0.0264 memory: 13723 grad_norm: 3.9333 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0394 loss: 1.0394 2022/08/09 03:31:47 - mmengine - INFO - Epoch(train) [32][1440/1879] lr: 2.0000e-03 eta: 5:46:25 time: 0.7297 data_time: 0.0214 memory: 13723 grad_norm: 3.8054 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9687 loss: 0.9687 2022/08/09 03:31:58 - mmengine - INFO - Epoch(train) [32][1460/1879] lr: 2.0000e-03 eta: 5:46:12 time: 0.5704 data_time: 0.0242 memory: 13723 grad_norm: 3.9482 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1198 loss: 1.1198 2022/08/09 03:32:10 - mmengine - INFO - Epoch(train) [32][1480/1879] lr: 2.0000e-03 eta: 5:46:00 time: 0.5778 data_time: 0.0256 memory: 13723 grad_norm: 3.8635 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9514 loss: 0.9514 2022/08/09 03:32:21 - mmengine - INFO - Epoch(train) [32][1500/1879] lr: 2.0000e-03 eta: 5:45:47 time: 0.5827 data_time: 0.0239 memory: 13723 grad_norm: 3.9757 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9351 loss: 0.9351 2022/08/09 03:32:33 - mmengine - INFO - Epoch(train) [32][1520/1879] lr: 2.0000e-03 eta: 5:45:35 time: 0.5871 data_time: 0.0264 memory: 13723 grad_norm: 3.8389 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8834 loss: 0.8834 2022/08/09 03:32:45 - mmengine - INFO - Epoch(train) [32][1540/1879] lr: 2.0000e-03 eta: 5:45:22 time: 0.5773 data_time: 0.0282 memory: 13723 grad_norm: 3.8547 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8719 loss: 0.8719 2022/08/09 03:32:56 - mmengine - INFO - Epoch(train) [32][1560/1879] lr: 2.0000e-03 eta: 5:45:10 time: 0.5777 data_time: 0.0246 memory: 13723 grad_norm: 3.9256 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0695 loss: 1.0695 2022/08/09 03:33:08 - mmengine - INFO - Epoch(train) [32][1580/1879] lr: 2.0000e-03 eta: 5:44:58 time: 0.5792 data_time: 0.0229 memory: 13723 grad_norm: 3.9751 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1501 loss: 1.1501 2022/08/09 03:33:19 - mmengine - INFO - Epoch(train) [32][1600/1879] lr: 2.0000e-03 eta: 5:44:45 time: 0.5783 data_time: 0.0252 memory: 13723 grad_norm: 3.7914 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8883 loss: 0.8883 2022/08/09 03:33:31 - mmengine - INFO - Epoch(train) [32][1620/1879] lr: 2.0000e-03 eta: 5:44:33 time: 0.5775 data_time: 0.0253 memory: 13723 grad_norm: 3.8636 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0147 loss: 1.0147 2022/08/09 03:33:43 - mmengine - INFO - Epoch(train) [32][1640/1879] lr: 2.0000e-03 eta: 5:44:20 time: 0.5798 data_time: 0.0257 memory: 13723 grad_norm: 3.8780 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9511 loss: 0.9511 2022/08/09 03:33:54 - mmengine - INFO - Epoch(train) [32][1660/1879] lr: 2.0000e-03 eta: 5:44:08 time: 0.5793 data_time: 0.0259 memory: 13723 grad_norm: 3.9654 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9773 loss: 0.9773 2022/08/09 03:34:06 - mmengine - INFO - Epoch(train) [32][1680/1879] lr: 2.0000e-03 eta: 5:43:55 time: 0.5801 data_time: 0.0244 memory: 13723 grad_norm: 3.8374 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0138 loss: 1.0138 2022/08/09 03:34:17 - mmengine - INFO - Epoch(train) [32][1700/1879] lr: 2.0000e-03 eta: 5:43:43 time: 0.5804 data_time: 0.0253 memory: 13723 grad_norm: 3.9223 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9164 loss: 0.9164 2022/08/09 03:34:29 - mmengine - INFO - Epoch(train) [32][1720/1879] lr: 2.0000e-03 eta: 5:43:31 time: 0.5959 data_time: 0.0247 memory: 13723 grad_norm: 3.8424 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0511 loss: 1.0511 2022/08/09 03:34:41 - mmengine - INFO - Epoch(train) [32][1740/1879] lr: 2.0000e-03 eta: 5:43:18 time: 0.5757 data_time: 0.0275 memory: 13723 grad_norm: 3.8303 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9261 loss: 0.9261 2022/08/09 03:34:47 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 03:34:52 - mmengine - INFO - Epoch(train) [32][1760/1879] lr: 2.0000e-03 eta: 5:43:06 time: 0.5746 data_time: 0.0251 memory: 13723 grad_norm: 3.7946 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9223 loss: 0.9223 2022/08/09 03:35:04 - mmengine - INFO - Epoch(train) [32][1780/1879] lr: 2.0000e-03 eta: 5:42:53 time: 0.5867 data_time: 0.0249 memory: 13723 grad_norm: 4.0318 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8936 loss: 0.8936 2022/08/09 03:35:16 - mmengine - INFO - Epoch(train) [32][1800/1879] lr: 2.0000e-03 eta: 5:42:41 time: 0.5957 data_time: 0.0426 memory: 13723 grad_norm: 3.8752 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1103 loss: 1.1103 2022/08/09 03:35:28 - mmengine - INFO - Epoch(train) [32][1820/1879] lr: 2.0000e-03 eta: 5:42:29 time: 0.5764 data_time: 0.0239 memory: 13723 grad_norm: 3.9349 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0695 loss: 1.0695 2022/08/09 03:35:39 - mmengine - INFO - Epoch(train) [32][1840/1879] lr: 2.0000e-03 eta: 5:42:16 time: 0.5792 data_time: 0.0235 memory: 13723 grad_norm: 3.9383 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9173 loss: 0.9173 2022/08/09 03:35:51 - mmengine - INFO - Epoch(train) [32][1860/1879] lr: 2.0000e-03 eta: 5:42:04 time: 0.5772 data_time: 0.0255 memory: 13723 grad_norm: 3.7807 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9405 loss: 0.9405 2022/08/09 03:36:01 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 03:36:01 - mmengine - INFO - Epoch(train) [32][1879/1879] lr: 2.0000e-03 eta: 5:42:04 time: 0.5389 data_time: 0.0180 memory: 13723 grad_norm: 3.9716 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0718 loss: 1.0718 2022/08/09 03:36:14 - mmengine - INFO - Epoch(val) [32][20/155] eta: 0:01:28 time: 0.6562 data_time: 0.5160 memory: 1829 2022/08/09 03:36:23 - mmengine - INFO - Epoch(val) [32][40/155] eta: 0:00:51 time: 0.4454 data_time: 0.3062 memory: 1829 2022/08/09 03:36:35 - mmengine - INFO - Epoch(val) [32][60/155] eta: 0:00:57 time: 0.6072 data_time: 0.4680 memory: 1829 2022/08/09 03:36:44 - mmengine - INFO - Epoch(val) [32][80/155] eta: 0:00:31 time: 0.4231 data_time: 0.2840 memory: 1829 2022/08/09 03:36:55 - mmengine - INFO - Epoch(val) [32][100/155] eta: 0:00:31 time: 0.5802 data_time: 0.4391 memory: 1829 2022/08/09 03:37:05 - mmengine - INFO - Epoch(val) [32][120/155] eta: 0:00:16 time: 0.4790 data_time: 0.3399 memory: 1829 2022/08/09 03:37:17 - mmengine - INFO - Epoch(val) [32][140/155] eta: 0:00:09 time: 0.6371 data_time: 0.4999 memory: 1829 2022/08/09 03:37:32 - mmengine - INFO - Epoch(val) [32][155/155] acc/top1: 0.7037 acc/top5: 0.8965 acc/mean1: 0.7035 2022/08/09 03:37:50 - mmengine - INFO - Epoch(train) [33][20/1879] lr: 2.0000e-03 eta: 5:41:37 time: 0.9119 data_time: 0.2180 memory: 13723 grad_norm: 3.8479 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0041 loss: 1.0041 2022/08/09 03:38:02 - mmengine - INFO - Epoch(train) [33][40/1879] lr: 2.0000e-03 eta: 5:41:24 time: 0.5695 data_time: 0.0215 memory: 13723 grad_norm: 3.8050 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9495 loss: 0.9495 2022/08/09 03:38:13 - mmengine - INFO - Epoch(train) [33][60/1879] lr: 2.0000e-03 eta: 5:41:12 time: 0.5832 data_time: 0.0276 memory: 13723 grad_norm: 3.8911 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9382 loss: 0.9382 2022/08/09 03:38:25 - mmengine - INFO - Epoch(train) [33][80/1879] lr: 2.0000e-03 eta: 5:41:00 time: 0.6023 data_time: 0.0219 memory: 13723 grad_norm: 3.9142 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9459 loss: 0.9459 2022/08/09 03:38:37 - mmengine - INFO - Epoch(train) [33][100/1879] lr: 2.0000e-03 eta: 5:40:48 time: 0.5853 data_time: 0.0241 memory: 13723 grad_norm: 3.8435 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9308 loss: 0.9308 2022/08/09 03:38:50 - mmengine - INFO - Epoch(train) [33][120/1879] lr: 2.0000e-03 eta: 5:40:36 time: 0.6245 data_time: 0.0224 memory: 13723 grad_norm: 3.8585 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9955 loss: 0.9955 2022/08/09 03:39:05 - mmengine - INFO - Epoch(train) [33][140/1879] lr: 2.0000e-03 eta: 5:40:25 time: 0.7638 data_time: 0.0197 memory: 13723 grad_norm: 3.7713 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9384 loss: 0.9384 2022/08/09 03:39:17 - mmengine - INFO - Epoch(train) [33][160/1879] lr: 2.0000e-03 eta: 5:40:13 time: 0.6214 data_time: 0.0242 memory: 13723 grad_norm: 3.8277 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0190 loss: 1.0190 2022/08/09 03:39:29 - mmengine - INFO - Epoch(train) [33][180/1879] lr: 2.0000e-03 eta: 5:40:01 time: 0.5800 data_time: 0.0228 memory: 13723 grad_norm: 3.8375 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9053 loss: 0.9053 2022/08/09 03:39:42 - mmengine - INFO - Epoch(train) [33][200/1879] lr: 2.0000e-03 eta: 5:39:49 time: 0.6315 data_time: 0.0252 memory: 13723 grad_norm: 3.8166 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0565 loss: 1.0565 2022/08/09 03:39:53 - mmengine - INFO - Epoch(train) [33][220/1879] lr: 2.0000e-03 eta: 5:39:36 time: 0.5693 data_time: 0.0228 memory: 13723 grad_norm: 3.8926 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0553 loss: 1.0553 2022/08/09 03:40:04 - mmengine - INFO - Epoch(train) [33][240/1879] lr: 2.0000e-03 eta: 5:39:24 time: 0.5728 data_time: 0.0267 memory: 13723 grad_norm: 3.7815 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0723 loss: 1.0723 2022/08/09 03:40:16 - mmengine - INFO - Epoch(train) [33][260/1879] lr: 2.0000e-03 eta: 5:39:12 time: 0.5969 data_time: 0.0409 memory: 13723 grad_norm: 3.7953 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9584 loss: 0.9584 2022/08/09 03:40:29 - mmengine - INFO - Epoch(train) [33][280/1879] lr: 2.0000e-03 eta: 5:39:00 time: 0.6480 data_time: 0.0232 memory: 13723 grad_norm: 3.7971 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0974 loss: 1.0974 2022/08/09 03:40:41 - mmengine - INFO - Epoch(train) [33][300/1879] lr: 2.0000e-03 eta: 5:38:48 time: 0.5738 data_time: 0.0239 memory: 13723 grad_norm: 3.9487 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0632 loss: 1.0632 2022/08/09 03:40:53 - mmengine - INFO - Epoch(train) [33][320/1879] lr: 2.0000e-03 eta: 5:38:35 time: 0.5916 data_time: 0.0247 memory: 13723 grad_norm: 3.8722 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0908 loss: 1.0908 2022/08/09 03:41:05 - mmengine - INFO - Epoch(train) [33][340/1879] lr: 2.0000e-03 eta: 5:38:23 time: 0.6066 data_time: 0.0240 memory: 13723 grad_norm: 3.9244 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1055 loss: 1.1055 2022/08/09 03:41:16 - mmengine - INFO - Epoch(train) [33][360/1879] lr: 2.0000e-03 eta: 5:38:11 time: 0.5794 data_time: 0.0238 memory: 13723 grad_norm: 3.8699 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0375 loss: 1.0375 2022/08/09 03:41:28 - mmengine - INFO - Epoch(train) [33][380/1879] lr: 2.0000e-03 eta: 5:37:58 time: 0.5878 data_time: 0.0241 memory: 13723 grad_norm: 3.9296 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7464 loss: 0.7464 2022/08/09 03:41:41 - mmengine - INFO - Epoch(train) [33][400/1879] lr: 2.0000e-03 eta: 5:37:46 time: 0.6150 data_time: 0.0237 memory: 13723 grad_norm: 3.9927 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2056 loss: 1.2056 2022/08/09 03:41:52 - mmengine - INFO - Epoch(train) [33][420/1879] lr: 2.0000e-03 eta: 5:37:34 time: 0.5714 data_time: 0.0230 memory: 13723 grad_norm: 3.7456 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9106 loss: 0.9106 2022/08/09 03:42:04 - mmengine - INFO - Epoch(train) [33][440/1879] lr: 2.0000e-03 eta: 5:37:21 time: 0.5817 data_time: 0.0242 memory: 13723 grad_norm: 3.9569 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0410 loss: 1.0410 2022/08/09 03:42:15 - mmengine - INFO - Epoch(train) [33][460/1879] lr: 2.0000e-03 eta: 5:37:09 time: 0.5846 data_time: 0.0256 memory: 13723 grad_norm: 3.9339 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9932 loss: 0.9932 2022/08/09 03:42:27 - mmengine - INFO - Epoch(train) [33][480/1879] lr: 2.0000e-03 eta: 5:36:57 time: 0.5903 data_time: 0.0228 memory: 13723 grad_norm: 3.8875 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9595 loss: 0.9595 2022/08/09 03:42:39 - mmengine - INFO - Epoch(train) [33][500/1879] lr: 2.0000e-03 eta: 5:36:44 time: 0.5829 data_time: 0.0260 memory: 13723 grad_norm: 3.8447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1449 loss: 1.1449 2022/08/09 03:42:50 - mmengine - INFO - Epoch(train) [33][520/1879] lr: 2.0000e-03 eta: 5:36:32 time: 0.5800 data_time: 0.0237 memory: 13723 grad_norm: 3.8587 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9056 loss: 0.9056 2022/08/09 03:43:02 - mmengine - INFO - Epoch(train) [33][540/1879] lr: 2.0000e-03 eta: 5:36:20 time: 0.5850 data_time: 0.0256 memory: 13723 grad_norm: 3.9562 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0172 loss: 1.0172 2022/08/09 03:43:14 - mmengine - INFO - Epoch(train) [33][560/1879] lr: 2.0000e-03 eta: 5:36:07 time: 0.5739 data_time: 0.0275 memory: 13723 grad_norm: 3.9421 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9905 loss: 0.9905 2022/08/09 03:43:25 - mmengine - INFO - Epoch(train) [33][580/1879] lr: 2.0000e-03 eta: 5:35:55 time: 0.5787 data_time: 0.0255 memory: 13723 grad_norm: 3.9711 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1025 loss: 1.1025 2022/08/09 03:43:37 - mmengine - INFO - Epoch(train) [33][600/1879] lr: 2.0000e-03 eta: 5:35:42 time: 0.5724 data_time: 0.0253 memory: 13723 grad_norm: 3.9148 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1303 loss: 1.1303 2022/08/09 03:43:48 - mmengine - INFO - Epoch(train) [33][620/1879] lr: 2.0000e-03 eta: 5:35:30 time: 0.5723 data_time: 0.0248 memory: 13723 grad_norm: 3.9556 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.0772 loss: 1.0772 2022/08/09 03:44:00 - mmengine - INFO - Epoch(train) [33][640/1879] lr: 2.0000e-03 eta: 5:35:17 time: 0.5794 data_time: 0.0278 memory: 13723 grad_norm: 3.9603 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0486 loss: 1.0486 2022/08/09 03:44:11 - mmengine - INFO - Epoch(train) [33][660/1879] lr: 2.0000e-03 eta: 5:35:05 time: 0.5795 data_time: 0.0233 memory: 13723 grad_norm: 3.8256 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9591 loss: 0.9591 2022/08/09 03:44:23 - mmengine - INFO - Epoch(train) [33][680/1879] lr: 2.0000e-03 eta: 5:34:52 time: 0.5825 data_time: 0.0250 memory: 13723 grad_norm: 3.8384 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9675 loss: 0.9675 2022/08/09 03:44:35 - mmengine - INFO - Epoch(train) [33][700/1879] lr: 2.0000e-03 eta: 5:34:40 time: 0.6023 data_time: 0.0275 memory: 13723 grad_norm: 3.8657 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9480 loss: 0.9480 2022/08/09 03:44:47 - mmengine - INFO - Epoch(train) [33][720/1879] lr: 2.0000e-03 eta: 5:34:28 time: 0.5808 data_time: 0.0217 memory: 13723 grad_norm: 3.8783 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0301 loss: 1.0301 2022/08/09 03:44:58 - mmengine - INFO - Epoch(train) [33][740/1879] lr: 2.0000e-03 eta: 5:34:15 time: 0.5698 data_time: 0.0248 memory: 13723 grad_norm: 3.9176 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9328 loss: 0.9328 2022/08/09 03:45:10 - mmengine - INFO - Epoch(train) [33][760/1879] lr: 2.0000e-03 eta: 5:34:03 time: 0.6135 data_time: 0.0217 memory: 13723 grad_norm: 3.8868 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1037 loss: 1.1037 2022/08/09 03:45:22 - mmengine - INFO - Epoch(train) [33][780/1879] lr: 2.0000e-03 eta: 5:33:51 time: 0.5773 data_time: 0.0281 memory: 13723 grad_norm: 3.8190 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9410 loss: 0.9410 2022/08/09 03:45:35 - mmengine - INFO - Epoch(train) [33][800/1879] lr: 2.0000e-03 eta: 5:33:39 time: 0.6675 data_time: 0.0264 memory: 13723 grad_norm: 3.7261 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9167 loss: 0.9167 2022/08/09 03:45:47 - mmengine - INFO - Epoch(train) [33][820/1879] lr: 2.0000e-03 eta: 5:33:27 time: 0.5921 data_time: 0.0247 memory: 13723 grad_norm: 3.9873 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0246 loss: 1.0246 2022/08/09 03:45:59 - mmengine - INFO - Epoch(train) [33][840/1879] lr: 2.0000e-03 eta: 5:33:15 time: 0.5763 data_time: 0.0244 memory: 13723 grad_norm: 3.8808 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0539 loss: 1.0539 2022/08/09 03:46:10 - mmengine - INFO - Epoch(train) [33][860/1879] lr: 2.0000e-03 eta: 5:33:02 time: 0.5678 data_time: 0.0250 memory: 13723 grad_norm: 4.0154 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9894 loss: 0.9894 2022/08/09 03:46:17 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 03:46:22 - mmengine - INFO - Epoch(train) [33][880/1879] lr: 2.0000e-03 eta: 5:32:50 time: 0.5827 data_time: 0.0244 memory: 13723 grad_norm: 4.0049 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8913 loss: 0.8913 2022/08/09 03:46:33 - mmengine - INFO - Epoch(train) [33][900/1879] lr: 2.0000e-03 eta: 5:32:37 time: 0.5783 data_time: 0.0245 memory: 13723 grad_norm: 3.9117 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9846 loss: 0.9846 2022/08/09 03:46:45 - mmengine - INFO - Epoch(train) [33][920/1879] lr: 2.0000e-03 eta: 5:32:25 time: 0.5798 data_time: 0.0250 memory: 13723 grad_norm: 3.8083 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0422 loss: 1.0422 2022/08/09 03:46:57 - mmengine - INFO - Epoch(train) [33][940/1879] lr: 2.0000e-03 eta: 5:32:13 time: 0.5867 data_time: 0.0251 memory: 13723 grad_norm: 4.0038 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9256 loss: 0.9256 2022/08/09 03:47:08 - mmengine - INFO - Epoch(train) [33][960/1879] lr: 2.0000e-03 eta: 5:32:00 time: 0.5666 data_time: 0.0246 memory: 13723 grad_norm: 3.8990 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0656 loss: 1.0656 2022/08/09 03:47:19 - mmengine - INFO - Epoch(train) [33][980/1879] lr: 2.0000e-03 eta: 5:31:48 time: 0.5762 data_time: 0.0247 memory: 13723 grad_norm: 3.8956 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0540 loss: 1.0540 2022/08/09 03:47:31 - mmengine - INFO - Epoch(train) [33][1000/1879] lr: 2.0000e-03 eta: 5:31:35 time: 0.5800 data_time: 0.0244 memory: 13723 grad_norm: 3.9303 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0246 loss: 1.0246 2022/08/09 03:47:43 - mmengine - INFO - Epoch(train) [33][1020/1879] lr: 2.0000e-03 eta: 5:31:23 time: 0.5789 data_time: 0.0237 memory: 13723 grad_norm: 3.8941 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8768 loss: 0.8768 2022/08/09 03:47:54 - mmengine - INFO - Epoch(train) [33][1040/1879] lr: 2.0000e-03 eta: 5:31:10 time: 0.5760 data_time: 0.0285 memory: 13723 grad_norm: 3.8579 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0474 loss: 1.0474 2022/08/09 03:48:06 - mmengine - INFO - Epoch(train) [33][1060/1879] lr: 2.0000e-03 eta: 5:30:58 time: 0.5694 data_time: 0.0230 memory: 13723 grad_norm: 3.9011 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0117 loss: 1.0117 2022/08/09 03:48:17 - mmengine - INFO - Epoch(train) [33][1080/1879] lr: 2.0000e-03 eta: 5:30:46 time: 0.5846 data_time: 0.0248 memory: 13723 grad_norm: 3.9714 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1587 loss: 1.1587 2022/08/09 03:48:29 - mmengine - INFO - Epoch(train) [33][1100/1879] lr: 2.0000e-03 eta: 5:30:33 time: 0.5844 data_time: 0.0305 memory: 13723 grad_norm: 3.9060 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0606 loss: 1.0606 2022/08/09 03:48:41 - mmengine - INFO - Epoch(train) [33][1120/1879] lr: 2.0000e-03 eta: 5:30:21 time: 0.5903 data_time: 0.0248 memory: 13723 grad_norm: 3.9139 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8799 loss: 0.8799 2022/08/09 03:48:53 - mmengine - INFO - Epoch(train) [33][1140/1879] lr: 2.0000e-03 eta: 5:30:09 time: 0.5855 data_time: 0.0238 memory: 13723 grad_norm: 3.6953 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8813 loss: 0.8813 2022/08/09 03:49:04 - mmengine - INFO - Epoch(train) [33][1160/1879] lr: 2.0000e-03 eta: 5:29:56 time: 0.5860 data_time: 0.0275 memory: 13723 grad_norm: 4.0303 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0006 loss: 1.0006 2022/08/09 03:49:16 - mmengine - INFO - Epoch(train) [33][1180/1879] lr: 2.0000e-03 eta: 5:29:44 time: 0.5831 data_time: 0.0249 memory: 13723 grad_norm: 3.9573 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0448 loss: 1.0448 2022/08/09 03:49:28 - mmengine - INFO - Epoch(train) [33][1200/1879] lr: 2.0000e-03 eta: 5:29:31 time: 0.5796 data_time: 0.0246 memory: 13723 grad_norm: 3.9589 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0954 loss: 1.0954 2022/08/09 03:49:39 - mmengine - INFO - Epoch(train) [33][1220/1879] lr: 2.0000e-03 eta: 5:29:19 time: 0.5798 data_time: 0.0249 memory: 13723 grad_norm: 3.8536 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1044 loss: 1.1044 2022/08/09 03:49:51 - mmengine - INFO - Epoch(train) [33][1240/1879] lr: 2.0000e-03 eta: 5:29:07 time: 0.5774 data_time: 0.0252 memory: 13723 grad_norm: 3.8055 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0670 loss: 1.0670 2022/08/09 03:50:02 - mmengine - INFO - Epoch(train) [33][1260/1879] lr: 2.0000e-03 eta: 5:28:54 time: 0.5808 data_time: 0.0251 memory: 13723 grad_norm: 3.9719 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9884 loss: 0.9884 2022/08/09 03:50:16 - mmengine - INFO - Epoch(train) [33][1280/1879] lr: 2.0000e-03 eta: 5:28:43 time: 0.6641 data_time: 0.0756 memory: 13723 grad_norm: 3.8807 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0176 loss: 1.0176 2022/08/09 03:50:28 - mmengine - INFO - Epoch(train) [33][1300/1879] lr: 2.0000e-03 eta: 5:28:30 time: 0.5984 data_time: 0.0255 memory: 13723 grad_norm: 3.7878 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9459 loss: 0.9459 2022/08/09 03:50:40 - mmengine - INFO - Epoch(train) [33][1320/1879] lr: 2.0000e-03 eta: 5:28:18 time: 0.6086 data_time: 0.0238 memory: 13723 grad_norm: 3.9486 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0373 loss: 1.0373 2022/08/09 03:50:52 - mmengine - INFO - Epoch(train) [33][1340/1879] lr: 2.0000e-03 eta: 5:28:06 time: 0.5879 data_time: 0.0256 memory: 13723 grad_norm: 3.9012 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9305 loss: 0.9305 2022/08/09 03:51:03 - mmengine - INFO - Epoch(train) [33][1360/1879] lr: 2.0000e-03 eta: 5:27:54 time: 0.5847 data_time: 0.0247 memory: 13723 grad_norm: 3.9104 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9430 loss: 0.9430 2022/08/09 03:51:15 - mmengine - INFO - Epoch(train) [33][1380/1879] lr: 2.0000e-03 eta: 5:27:41 time: 0.5869 data_time: 0.0233 memory: 13723 grad_norm: 3.9491 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0678 loss: 1.0678 2022/08/09 03:51:27 - mmengine - INFO - Epoch(train) [33][1400/1879] lr: 2.0000e-03 eta: 5:27:29 time: 0.5941 data_time: 0.0238 memory: 13723 grad_norm: 3.9606 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0575 loss: 1.0575 2022/08/09 03:51:38 - mmengine - INFO - Epoch(train) [33][1420/1879] lr: 2.0000e-03 eta: 5:27:17 time: 0.5733 data_time: 0.0260 memory: 13723 grad_norm: 3.9372 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9763 loss: 0.9763 2022/08/09 03:51:50 - mmengine - INFO - Epoch(train) [33][1440/1879] lr: 2.0000e-03 eta: 5:27:04 time: 0.5824 data_time: 0.0245 memory: 13723 grad_norm: 3.9420 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1005 loss: 1.1005 2022/08/09 03:52:01 - mmengine - INFO - Epoch(train) [33][1460/1879] lr: 2.0000e-03 eta: 5:26:52 time: 0.5718 data_time: 0.0246 memory: 13723 grad_norm: 3.8396 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0397 loss: 1.0397 2022/08/09 03:52:13 - mmengine - INFO - Epoch(train) [33][1480/1879] lr: 2.0000e-03 eta: 5:26:39 time: 0.5761 data_time: 0.0263 memory: 13723 grad_norm: 4.0212 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0323 loss: 1.0323 2022/08/09 03:52:24 - mmengine - INFO - Epoch(train) [33][1500/1879] lr: 2.0000e-03 eta: 5:26:27 time: 0.5736 data_time: 0.0267 memory: 13723 grad_norm: 3.8635 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1404 loss: 1.1404 2022/08/09 03:52:36 - mmengine - INFO - Epoch(train) [33][1520/1879] lr: 2.0000e-03 eta: 5:26:14 time: 0.5716 data_time: 0.0245 memory: 13723 grad_norm: 3.9422 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9755 loss: 0.9755 2022/08/09 03:52:47 - mmengine - INFO - Epoch(train) [33][1540/1879] lr: 2.0000e-03 eta: 5:26:02 time: 0.5736 data_time: 0.0250 memory: 13723 grad_norm: 3.9256 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0559 loss: 1.0559 2022/08/09 03:52:59 - mmengine - INFO - Epoch(train) [33][1560/1879] lr: 2.0000e-03 eta: 5:25:50 time: 0.5735 data_time: 0.0251 memory: 13723 grad_norm: 3.9212 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0322 loss: 1.0322 2022/08/09 03:53:10 - mmengine - INFO - Epoch(train) [33][1580/1879] lr: 2.0000e-03 eta: 5:25:37 time: 0.5677 data_time: 0.0254 memory: 13723 grad_norm: 3.8934 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1137 loss: 1.1137 2022/08/09 03:53:22 - mmengine - INFO - Epoch(train) [33][1600/1879] lr: 2.0000e-03 eta: 5:25:25 time: 0.6130 data_time: 0.0256 memory: 13723 grad_norm: 4.0308 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9903 loss: 0.9903 2022/08/09 03:53:34 - mmengine - INFO - Epoch(train) [33][1620/1879] lr: 2.0000e-03 eta: 5:25:13 time: 0.5744 data_time: 0.0240 memory: 13723 grad_norm: 3.9794 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1091 loss: 1.1091 2022/08/09 03:53:46 - mmengine - INFO - Epoch(train) [33][1640/1879] lr: 2.0000e-03 eta: 5:25:00 time: 0.5824 data_time: 0.0258 memory: 13723 grad_norm: 3.9652 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0571 loss: 1.0571 2022/08/09 03:53:57 - mmengine - INFO - Epoch(train) [33][1660/1879] lr: 2.0000e-03 eta: 5:24:48 time: 0.5788 data_time: 0.0230 memory: 13723 grad_norm: 3.9279 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0036 loss: 1.0036 2022/08/09 03:54:09 - mmengine - INFO - Epoch(train) [33][1680/1879] lr: 2.0000e-03 eta: 5:24:36 time: 0.6074 data_time: 0.0247 memory: 13723 grad_norm: 3.9197 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0254 loss: 1.0254 2022/08/09 03:54:21 - mmengine - INFO - Epoch(train) [33][1700/1879] lr: 2.0000e-03 eta: 5:24:23 time: 0.5842 data_time: 0.0232 memory: 13723 grad_norm: 3.8917 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9710 loss: 0.9710 2022/08/09 03:54:33 - mmengine - INFO - Epoch(train) [33][1720/1879] lr: 2.0000e-03 eta: 5:24:11 time: 0.5960 data_time: 0.0223 memory: 13723 grad_norm: 4.1230 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0159 loss: 1.0159 2022/08/09 03:54:44 - mmengine - INFO - Epoch(train) [33][1740/1879] lr: 2.0000e-03 eta: 5:23:59 time: 0.5705 data_time: 0.0251 memory: 13723 grad_norm: 3.9150 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9264 loss: 0.9264 2022/08/09 03:54:56 - mmengine - INFO - Epoch(train) [33][1760/1879] lr: 2.0000e-03 eta: 5:23:46 time: 0.5922 data_time: 0.0251 memory: 13723 grad_norm: 3.9356 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0579 loss: 1.0579 2022/08/09 03:55:12 - mmengine - INFO - Epoch(train) [33][1780/1879] lr: 2.0000e-03 eta: 5:23:36 time: 0.7988 data_time: 0.0220 memory: 13723 grad_norm: 3.8594 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8978 loss: 0.8978 2022/08/09 03:55:25 - mmengine - INFO - Epoch(train) [33][1800/1879] lr: 2.0000e-03 eta: 5:23:24 time: 0.6119 data_time: 0.0294 memory: 13723 grad_norm: 3.9724 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0869 loss: 1.0869 2022/08/09 03:55:38 - mmengine - INFO - Epoch(train) [33][1820/1879] lr: 2.0000e-03 eta: 5:23:13 time: 0.6580 data_time: 0.0232 memory: 13723 grad_norm: 4.1176 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0546 loss: 1.0546 2022/08/09 03:55:49 - mmengine - INFO - Epoch(train) [33][1840/1879] lr: 2.0000e-03 eta: 5:23:00 time: 0.5673 data_time: 0.0223 memory: 13723 grad_norm: 3.9420 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8938 loss: 0.8938 2022/08/09 03:56:01 - mmengine - INFO - Epoch(train) [33][1860/1879] lr: 2.0000e-03 eta: 5:22:48 time: 0.5773 data_time: 0.0266 memory: 13723 grad_norm: 4.0000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9966 loss: 0.9966 2022/08/09 03:56:07 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 03:56:11 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 03:56:11 - mmengine - INFO - Epoch(train) [33][1879/1879] lr: 2.0000e-03 eta: 5:22:48 time: 0.5323 data_time: 0.0172 memory: 13723 grad_norm: 4.0311 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8808 loss: 0.8808 2022/08/09 03:56:11 - mmengine - INFO - Saving checkpoint at 33 epochs 2022/08/09 03:56:25 - mmengine - INFO - Epoch(val) [33][20/155] eta: 0:01:27 time: 0.6512 data_time: 0.5106 memory: 1829 2022/08/09 03:56:34 - mmengine - INFO - Epoch(val) [33][40/155] eta: 0:00:51 time: 0.4516 data_time: 0.3098 memory: 1829 2022/08/09 03:56:46 - mmengine - INFO - Epoch(val) [33][60/155] eta: 0:00:55 time: 0.5891 data_time: 0.4499 memory: 1829 2022/08/09 03:56:55 - mmengine - INFO - Epoch(val) [33][80/155] eta: 0:00:32 time: 0.4362 data_time: 0.2972 memory: 1829 2022/08/09 03:57:06 - mmengine - INFO - Epoch(val) [33][100/155] eta: 0:00:31 time: 0.5678 data_time: 0.4292 memory: 1829 2022/08/09 03:57:16 - mmengine - INFO - Epoch(val) [33][120/155] eta: 0:00:16 time: 0.4817 data_time: 0.3439 memory: 1829 2022/08/09 03:57:28 - mmengine - INFO - Epoch(val) [33][140/155] eta: 0:00:09 time: 0.6205 data_time: 0.4788 memory: 1829 2022/08/09 03:57:43 - mmengine - INFO - Epoch(val) [33][155/155] acc/top1: 0.7041 acc/top5: 0.8958 acc/mean1: 0.7039 2022/08/09 03:58:00 - mmengine - INFO - Epoch(train) [34][20/1879] lr: 2.0000e-03 eta: 5:22:21 time: 0.8783 data_time: 0.2385 memory: 13723 grad_norm: 3.8987 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1207 loss: 1.1207 2022/08/09 03:58:12 - mmengine - INFO - Epoch(train) [34][40/1879] lr: 2.0000e-03 eta: 5:22:09 time: 0.5822 data_time: 0.0233 memory: 13723 grad_norm: 3.9170 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0486 loss: 1.0486 2022/08/09 03:58:25 - mmengine - INFO - Epoch(train) [34][60/1879] lr: 2.0000e-03 eta: 5:21:57 time: 0.6334 data_time: 0.0228 memory: 13723 grad_norm: 4.1007 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0148 loss: 1.0148 2022/08/09 03:58:36 - mmengine - INFO - Epoch(train) [34][80/1879] lr: 2.0000e-03 eta: 5:21:44 time: 0.5859 data_time: 0.0257 memory: 13723 grad_norm: 3.9299 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9835 loss: 0.9835 2022/08/09 03:58:48 - mmengine - INFO - Epoch(train) [34][100/1879] lr: 2.0000e-03 eta: 5:21:32 time: 0.5687 data_time: 0.0223 memory: 13723 grad_norm: 3.8400 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0543 loss: 1.0543 2022/08/09 03:58:59 - mmengine - INFO - Epoch(train) [34][120/1879] lr: 2.0000e-03 eta: 5:21:19 time: 0.5748 data_time: 0.0250 memory: 13723 grad_norm: 3.8000 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0208 loss: 1.0208 2022/08/09 03:59:11 - mmengine - INFO - Epoch(train) [34][140/1879] lr: 2.0000e-03 eta: 5:21:07 time: 0.5818 data_time: 0.0253 memory: 13723 grad_norm: 3.9458 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1533 loss: 1.1533 2022/08/09 03:59:23 - mmengine - INFO - Epoch(train) [34][160/1879] lr: 2.0000e-03 eta: 5:20:55 time: 0.5884 data_time: 0.0249 memory: 13723 grad_norm: 3.8141 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9364 loss: 0.9364 2022/08/09 03:59:34 - mmengine - INFO - Epoch(train) [34][180/1879] lr: 2.0000e-03 eta: 5:20:42 time: 0.5751 data_time: 0.0245 memory: 13723 grad_norm: 3.9719 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.9697 loss: 0.9697 2022/08/09 03:59:46 - mmengine - INFO - Epoch(train) [34][200/1879] lr: 2.0000e-03 eta: 5:20:30 time: 0.5763 data_time: 0.0232 memory: 13723 grad_norm: 4.0360 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0852 loss: 1.0852 2022/08/09 03:59:57 - mmengine - INFO - Epoch(train) [34][220/1879] lr: 2.0000e-03 eta: 5:20:18 time: 0.5834 data_time: 0.0232 memory: 13723 grad_norm: 3.9835 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9153 loss: 0.9153 2022/08/09 04:00:13 - mmengine - INFO - Epoch(train) [34][240/1879] lr: 2.0000e-03 eta: 5:20:07 time: 0.7615 data_time: 0.0232 memory: 13723 grad_norm: 3.9278 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8880 loss: 0.8880 2022/08/09 04:00:26 - mmengine - INFO - Epoch(train) [34][260/1879] lr: 2.0000e-03 eta: 5:19:56 time: 0.6747 data_time: 0.0220 memory: 13723 grad_norm: 3.9937 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0339 loss: 1.0339 2022/08/09 04:00:39 - mmengine - INFO - Epoch(train) [34][280/1879] lr: 2.0000e-03 eta: 5:19:44 time: 0.6381 data_time: 0.0234 memory: 13723 grad_norm: 3.9097 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0864 loss: 1.0864 2022/08/09 04:00:50 - mmengine - INFO - Epoch(train) [34][300/1879] lr: 2.0000e-03 eta: 5:19:31 time: 0.5794 data_time: 0.0279 memory: 13723 grad_norm: 4.0585 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1168 loss: 1.1168 2022/08/09 04:01:02 - mmengine - INFO - Epoch(train) [34][320/1879] lr: 2.0000e-03 eta: 5:19:19 time: 0.5747 data_time: 0.0234 memory: 13723 grad_norm: 3.9052 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9732 loss: 0.9732 2022/08/09 04:01:13 - mmengine - INFO - Epoch(train) [34][340/1879] lr: 2.0000e-03 eta: 5:19:07 time: 0.5677 data_time: 0.0253 memory: 13723 grad_norm: 3.9708 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8696 loss: 0.8696 2022/08/09 04:01:25 - mmengine - INFO - Epoch(train) [34][360/1879] lr: 2.0000e-03 eta: 5:18:54 time: 0.5830 data_time: 0.0259 memory: 13723 grad_norm: 3.9379 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8493 loss: 0.8493 2022/08/09 04:01:37 - mmengine - INFO - Epoch(train) [34][380/1879] lr: 2.0000e-03 eta: 5:18:42 time: 0.5879 data_time: 0.0260 memory: 13723 grad_norm: 3.9907 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1187 loss: 1.1187 2022/08/09 04:01:48 - mmengine - INFO - Epoch(train) [34][400/1879] lr: 2.0000e-03 eta: 5:18:30 time: 0.5825 data_time: 0.0234 memory: 13723 grad_norm: 3.8644 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9046 loss: 0.9046 2022/08/09 04:02:00 - mmengine - INFO - Epoch(train) [34][420/1879] lr: 2.0000e-03 eta: 5:18:17 time: 0.5766 data_time: 0.0259 memory: 13723 grad_norm: 3.9137 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8741 loss: 0.8741 2022/08/09 04:02:12 - mmengine - INFO - Epoch(train) [34][440/1879] lr: 2.0000e-03 eta: 5:18:05 time: 0.5793 data_time: 0.0236 memory: 13723 grad_norm: 3.9912 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9402 loss: 0.9402 2022/08/09 04:02:23 - mmengine - INFO - Epoch(train) [34][460/1879] lr: 2.0000e-03 eta: 5:17:52 time: 0.5814 data_time: 0.0255 memory: 13723 grad_norm: 3.9783 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0549 loss: 1.0549 2022/08/09 04:02:36 - mmengine - INFO - Epoch(train) [34][480/1879] lr: 2.0000e-03 eta: 5:17:40 time: 0.6232 data_time: 0.0231 memory: 13723 grad_norm: 3.8616 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0734 loss: 1.0734 2022/08/09 04:02:49 - mmengine - INFO - Epoch(train) [34][500/1879] lr: 2.0000e-03 eta: 5:17:29 time: 0.6754 data_time: 0.0212 memory: 13723 grad_norm: 4.0002 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0144 loss: 1.0144 2022/08/09 04:03:01 - mmengine - INFO - Epoch(train) [34][520/1879] lr: 2.0000e-03 eta: 5:17:17 time: 0.5730 data_time: 0.0232 memory: 13723 grad_norm: 3.9839 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8342 loss: 0.8342 2022/08/09 04:03:12 - mmengine - INFO - Epoch(train) [34][540/1879] lr: 2.0000e-03 eta: 5:17:04 time: 0.5763 data_time: 0.0241 memory: 13723 grad_norm: 4.0282 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9195 loss: 0.9195 2022/08/09 04:03:24 - mmengine - INFO - Epoch(train) [34][560/1879] lr: 2.0000e-03 eta: 5:16:52 time: 0.5810 data_time: 0.0257 memory: 13723 grad_norm: 3.9355 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 0.9707 loss: 0.9707 2022/08/09 04:03:36 - mmengine - INFO - Epoch(train) [34][580/1879] lr: 2.0000e-03 eta: 5:16:40 time: 0.5965 data_time: 0.0245 memory: 13723 grad_norm: 3.8638 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9742 loss: 0.9742 2022/08/09 04:03:49 - mmengine - INFO - Epoch(train) [34][600/1879] lr: 2.0000e-03 eta: 5:16:28 time: 0.6418 data_time: 0.0239 memory: 13723 grad_norm: 3.8069 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9898 loss: 0.9898 2022/08/09 04:04:00 - mmengine - INFO - Epoch(train) [34][620/1879] lr: 2.0000e-03 eta: 5:16:15 time: 0.5689 data_time: 0.0222 memory: 13723 grad_norm: 4.0626 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0056 loss: 1.0056 2022/08/09 04:04:12 - mmengine - INFO - Epoch(train) [34][640/1879] lr: 2.0000e-03 eta: 5:16:03 time: 0.5845 data_time: 0.0449 memory: 13723 grad_norm: 3.9644 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1363 loss: 1.1363 2022/08/09 04:04:23 - mmengine - INFO - Epoch(train) [34][660/1879] lr: 2.0000e-03 eta: 5:15:51 time: 0.5807 data_time: 0.0235 memory: 13723 grad_norm: 3.9565 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0096 loss: 1.0096 2022/08/09 04:04:35 - mmengine - INFO - Epoch(train) [34][680/1879] lr: 2.0000e-03 eta: 5:15:39 time: 0.6042 data_time: 0.0239 memory: 13723 grad_norm: 3.8701 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0252 loss: 1.0252 2022/08/09 04:04:47 - mmengine - INFO - Epoch(train) [34][700/1879] lr: 2.0000e-03 eta: 5:15:26 time: 0.5809 data_time: 0.0254 memory: 13723 grad_norm: 3.9918 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9623 loss: 0.9623 2022/08/09 04:05:00 - mmengine - INFO - Epoch(train) [34][720/1879] lr: 2.0000e-03 eta: 5:15:15 time: 0.6590 data_time: 0.0238 memory: 13723 grad_norm: 3.9549 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9747 loss: 0.9747 2022/08/09 04:05:13 - mmengine - INFO - Epoch(train) [34][740/1879] lr: 2.0000e-03 eta: 5:15:03 time: 0.6532 data_time: 0.0265 memory: 13723 grad_norm: 3.9259 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9699 loss: 0.9699 2022/08/09 04:05:25 - mmengine - INFO - Epoch(train) [34][760/1879] lr: 2.0000e-03 eta: 5:14:51 time: 0.5782 data_time: 0.0297 memory: 13723 grad_norm: 3.9876 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0217 loss: 1.0217 2022/08/09 04:05:36 - mmengine - INFO - Epoch(train) [34][780/1879] lr: 2.0000e-03 eta: 5:14:38 time: 0.5801 data_time: 0.0246 memory: 13723 grad_norm: 3.9364 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9726 loss: 0.9726 2022/08/09 04:05:48 - mmengine - INFO - Epoch(train) [34][800/1879] lr: 2.0000e-03 eta: 5:14:26 time: 0.5830 data_time: 0.0271 memory: 13723 grad_norm: 3.9733 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9613 loss: 0.9613 2022/08/09 04:06:00 - mmengine - INFO - Epoch(train) [34][820/1879] lr: 2.0000e-03 eta: 5:14:13 time: 0.5815 data_time: 0.0233 memory: 13723 grad_norm: 3.8975 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0520 loss: 1.0520 2022/08/09 04:06:11 - mmengine - INFO - Epoch(train) [34][840/1879] lr: 2.0000e-03 eta: 5:14:01 time: 0.5833 data_time: 0.0248 memory: 13723 grad_norm: 4.1303 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1027 loss: 1.1027 2022/08/09 04:06:23 - mmengine - INFO - Epoch(train) [34][860/1879] lr: 2.0000e-03 eta: 5:13:49 time: 0.5741 data_time: 0.0258 memory: 13723 grad_norm: 3.9597 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8842 loss: 0.8842 2022/08/09 04:06:35 - mmengine - INFO - Epoch(train) [34][880/1879] lr: 2.0000e-03 eta: 5:13:36 time: 0.5806 data_time: 0.0291 memory: 13723 grad_norm: 4.0151 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0828 loss: 1.0828 2022/08/09 04:06:46 - mmengine - INFO - Epoch(train) [34][900/1879] lr: 2.0000e-03 eta: 5:13:24 time: 0.5794 data_time: 0.0239 memory: 13723 grad_norm: 3.8931 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9678 loss: 0.9678 2022/08/09 04:06:58 - mmengine - INFO - Epoch(train) [34][920/1879] lr: 2.0000e-03 eta: 5:13:12 time: 0.5816 data_time: 0.0264 memory: 13723 grad_norm: 4.0008 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9463 loss: 0.9463 2022/08/09 04:07:11 - mmengine - INFO - Epoch(train) [34][940/1879] lr: 2.0000e-03 eta: 5:13:00 time: 0.6562 data_time: 0.0239 memory: 13723 grad_norm: 3.9768 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8576 loss: 0.8576 2022/08/09 04:07:23 - mmengine - INFO - Epoch(train) [34][960/1879] lr: 2.0000e-03 eta: 5:12:48 time: 0.5800 data_time: 0.0271 memory: 13723 grad_norm: 3.9040 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0583 loss: 1.0583 2022/08/09 04:07:34 - mmengine - INFO - Epoch(train) [34][980/1879] lr: 2.0000e-03 eta: 5:12:35 time: 0.5766 data_time: 0.0236 memory: 13723 grad_norm: 4.0466 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1100 loss: 1.1100 2022/08/09 04:07:42 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 04:07:46 - mmengine - INFO - Epoch(train) [34][1000/1879] lr: 2.0000e-03 eta: 5:12:23 time: 0.5862 data_time: 0.0231 memory: 13723 grad_norm: 3.8803 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8555 loss: 0.8555 2022/08/09 04:07:58 - mmengine - INFO - Epoch(train) [34][1020/1879] lr: 2.0000e-03 eta: 5:12:11 time: 0.5825 data_time: 0.0229 memory: 13723 grad_norm: 4.0479 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8731 loss: 0.8731 2022/08/09 04:08:09 - mmengine - INFO - Epoch(train) [34][1040/1879] lr: 2.0000e-03 eta: 5:11:58 time: 0.5761 data_time: 0.0237 memory: 13723 grad_norm: 3.8765 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8906 loss: 0.8906 2022/08/09 04:08:21 - mmengine - INFO - Epoch(train) [34][1060/1879] lr: 2.0000e-03 eta: 5:11:46 time: 0.5764 data_time: 0.0239 memory: 13723 grad_norm: 3.9224 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.0508 loss: 1.0508 2022/08/09 04:08:32 - mmengine - INFO - Epoch(train) [34][1080/1879] lr: 2.0000e-03 eta: 5:11:33 time: 0.5867 data_time: 0.0243 memory: 13723 grad_norm: 4.0213 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9535 loss: 0.9535 2022/08/09 04:08:44 - mmengine - INFO - Epoch(train) [34][1100/1879] lr: 2.0000e-03 eta: 5:11:21 time: 0.5742 data_time: 0.0270 memory: 13723 grad_norm: 3.9767 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9161 loss: 0.9161 2022/08/09 04:08:55 - mmengine - INFO - Epoch(train) [34][1120/1879] lr: 2.0000e-03 eta: 5:11:09 time: 0.5831 data_time: 0.0245 memory: 13723 grad_norm: 3.9446 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7666 loss: 0.7666 2022/08/09 04:09:07 - mmengine - INFO - Epoch(train) [34][1140/1879] lr: 2.0000e-03 eta: 5:10:56 time: 0.5732 data_time: 0.0261 memory: 13723 grad_norm: 3.9444 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9505 loss: 0.9505 2022/08/09 04:09:19 - mmengine - INFO - Epoch(train) [34][1160/1879] lr: 2.0000e-03 eta: 5:10:44 time: 0.5789 data_time: 0.0241 memory: 13723 grad_norm: 4.0044 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9944 loss: 0.9944 2022/08/09 04:09:30 - mmengine - INFO - Epoch(train) [34][1180/1879] lr: 2.0000e-03 eta: 5:10:32 time: 0.5821 data_time: 0.0241 memory: 13723 grad_norm: 3.9545 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0846 loss: 1.0846 2022/08/09 04:09:42 - mmengine - INFO - Epoch(train) [34][1200/1879] lr: 2.0000e-03 eta: 5:10:19 time: 0.5770 data_time: 0.0261 memory: 13723 grad_norm: 3.9948 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9541 loss: 0.9541 2022/08/09 04:09:54 - mmengine - INFO - Epoch(train) [34][1220/1879] lr: 2.0000e-03 eta: 5:10:07 time: 0.5899 data_time: 0.0243 memory: 13723 grad_norm: 4.0177 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0462 loss: 1.0462 2022/08/09 04:10:06 - mmengine - INFO - Epoch(train) [34][1240/1879] lr: 2.0000e-03 eta: 5:09:55 time: 0.6125 data_time: 0.0245 memory: 13723 grad_norm: 3.8083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0772 loss: 1.0772 2022/08/09 04:10:23 - mmengine - INFO - Epoch(train) [34][1260/1879] lr: 2.0000e-03 eta: 5:09:45 time: 0.8395 data_time: 0.1100 memory: 13723 grad_norm: 3.8207 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8692 loss: 0.8692 2022/08/09 04:10:34 - mmengine - INFO - Epoch(train) [34][1280/1879] lr: 2.0000e-03 eta: 5:09:33 time: 0.5747 data_time: 0.0218 memory: 13723 grad_norm: 4.1304 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1539 loss: 1.1539 2022/08/09 04:10:46 - mmengine - INFO - Epoch(train) [34][1300/1879] lr: 2.0000e-03 eta: 5:09:20 time: 0.5840 data_time: 0.0235 memory: 13723 grad_norm: 3.8810 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8964 loss: 0.8964 2022/08/09 04:10:57 - mmengine - INFO - Epoch(train) [34][1320/1879] lr: 2.0000e-03 eta: 5:09:08 time: 0.5730 data_time: 0.0247 memory: 13723 grad_norm: 3.8954 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0162 loss: 1.0162 2022/08/09 04:11:09 - mmengine - INFO - Epoch(train) [34][1340/1879] lr: 2.0000e-03 eta: 5:08:55 time: 0.5792 data_time: 0.0253 memory: 13723 grad_norm: 4.0016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9876 loss: 0.9876 2022/08/09 04:11:20 - mmengine - INFO - Epoch(train) [34][1360/1879] lr: 2.0000e-03 eta: 5:08:43 time: 0.5781 data_time: 0.0241 memory: 13723 grad_norm: 3.9756 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9872 loss: 0.9872 2022/08/09 04:11:32 - mmengine - INFO - Epoch(train) [34][1380/1879] lr: 2.0000e-03 eta: 5:08:31 time: 0.5779 data_time: 0.0249 memory: 13723 grad_norm: 3.9754 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9048 loss: 0.9048 2022/08/09 04:11:44 - mmengine - INFO - Epoch(train) [34][1400/1879] lr: 2.0000e-03 eta: 5:08:18 time: 0.5767 data_time: 0.0239 memory: 13723 grad_norm: 3.9632 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0187 loss: 1.0187 2022/08/09 04:11:55 - mmengine - INFO - Epoch(train) [34][1420/1879] lr: 2.0000e-03 eta: 5:08:06 time: 0.5788 data_time: 0.0235 memory: 13723 grad_norm: 3.9395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0017 loss: 1.0017 2022/08/09 04:12:07 - mmengine - INFO - Epoch(train) [34][1440/1879] lr: 2.0000e-03 eta: 5:07:54 time: 0.5783 data_time: 0.0249 memory: 13723 grad_norm: 4.0194 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9286 loss: 0.9286 2022/08/09 04:12:18 - mmengine - INFO - Epoch(train) [34][1460/1879] lr: 2.0000e-03 eta: 5:07:41 time: 0.5869 data_time: 0.0261 memory: 13723 grad_norm: 4.0254 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9704 loss: 0.9704 2022/08/09 04:12:30 - mmengine - INFO - Epoch(train) [34][1480/1879] lr: 2.0000e-03 eta: 5:07:29 time: 0.5818 data_time: 0.0236 memory: 13723 grad_norm: 3.9135 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0378 loss: 1.0378 2022/08/09 04:12:44 - mmengine - INFO - Epoch(train) [34][1500/1879] lr: 2.0000e-03 eta: 5:07:18 time: 0.6796 data_time: 0.0226 memory: 13723 grad_norm: 3.8868 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0009 loss: 1.0009 2022/08/09 04:12:55 - mmengine - INFO - Epoch(train) [34][1520/1879] lr: 2.0000e-03 eta: 5:07:05 time: 0.5748 data_time: 0.0223 memory: 13723 grad_norm: 4.0968 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9250 loss: 0.9250 2022/08/09 04:13:08 - mmengine - INFO - Epoch(train) [34][1540/1879] lr: 2.0000e-03 eta: 5:06:53 time: 0.6216 data_time: 0.0222 memory: 13723 grad_norm: 4.0609 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9582 loss: 0.9582 2022/08/09 04:13:19 - mmengine - INFO - Epoch(train) [34][1560/1879] lr: 2.0000e-03 eta: 5:06:41 time: 0.5755 data_time: 0.0237 memory: 13723 grad_norm: 3.9528 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0438 loss: 1.0438 2022/08/09 04:13:31 - mmengine - INFO - Epoch(train) [34][1580/1879] lr: 2.0000e-03 eta: 5:06:28 time: 0.5820 data_time: 0.0237 memory: 13723 grad_norm: 3.9985 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.1077 loss: 1.1077 2022/08/09 04:13:43 - mmengine - INFO - Epoch(train) [34][1600/1879] lr: 2.0000e-03 eta: 5:06:16 time: 0.6152 data_time: 0.0236 memory: 13723 grad_norm: 4.0054 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0669 loss: 1.0669 2022/08/09 04:13:55 - mmengine - INFO - Epoch(train) [34][1620/1879] lr: 2.0000e-03 eta: 5:06:04 time: 0.5885 data_time: 0.0225 memory: 13723 grad_norm: 3.9236 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9594 loss: 0.9594 2022/08/09 04:14:06 - mmengine - INFO - Epoch(train) [34][1640/1879] lr: 2.0000e-03 eta: 5:05:52 time: 0.5706 data_time: 0.0247 memory: 13723 grad_norm: 3.9582 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9791 loss: 0.9791 2022/08/09 04:14:18 - mmengine - INFO - Epoch(train) [34][1660/1879] lr: 2.0000e-03 eta: 5:05:39 time: 0.5737 data_time: 0.0227 memory: 13723 grad_norm: 3.9681 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8310 loss: 0.8310 2022/08/09 04:14:29 - mmengine - INFO - Epoch(train) [34][1680/1879] lr: 2.0000e-03 eta: 5:05:27 time: 0.5803 data_time: 0.0288 memory: 13723 grad_norm: 3.8865 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0977 loss: 1.0977 2022/08/09 04:14:41 - mmengine - INFO - Epoch(train) [34][1700/1879] lr: 2.0000e-03 eta: 5:05:14 time: 0.5755 data_time: 0.0225 memory: 13723 grad_norm: 3.9093 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0297 loss: 1.0297 2022/08/09 04:14:53 - mmengine - INFO - Epoch(train) [34][1720/1879] lr: 2.0000e-03 eta: 5:05:02 time: 0.5821 data_time: 0.0251 memory: 13723 grad_norm: 3.8890 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9060 loss: 0.9060 2022/08/09 04:15:04 - mmengine - INFO - Epoch(train) [34][1740/1879] lr: 2.0000e-03 eta: 5:04:50 time: 0.5889 data_time: 0.0253 memory: 13723 grad_norm: 3.9497 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9994 loss: 0.9994 2022/08/09 04:15:18 - mmengine - INFO - Epoch(train) [34][1760/1879] lr: 2.0000e-03 eta: 5:04:39 time: 0.7015 data_time: 0.0261 memory: 13723 grad_norm: 3.9316 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9801 loss: 0.9801 2022/08/09 04:15:30 - mmengine - INFO - Epoch(train) [34][1780/1879] lr: 2.0000e-03 eta: 5:04:26 time: 0.5906 data_time: 0.0283 memory: 13723 grad_norm: 3.9162 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0688 loss: 1.0688 2022/08/09 04:15:42 - mmengine - INFO - Epoch(train) [34][1800/1879] lr: 2.0000e-03 eta: 5:04:14 time: 0.5967 data_time: 0.0234 memory: 13723 grad_norm: 3.8708 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7815 loss: 0.7815 2022/08/09 04:15:54 - mmengine - INFO - Epoch(train) [34][1820/1879] lr: 2.0000e-03 eta: 5:04:02 time: 0.5829 data_time: 0.0239 memory: 13723 grad_norm: 4.0069 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9879 loss: 0.9879 2022/08/09 04:16:06 - mmengine - INFO - Epoch(train) [34][1840/1879] lr: 2.0000e-03 eta: 5:03:50 time: 0.6091 data_time: 0.0235 memory: 13723 grad_norm: 4.0325 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0365 loss: 1.0365 2022/08/09 04:16:19 - mmengine - INFO - Epoch(train) [34][1860/1879] lr: 2.0000e-03 eta: 5:03:38 time: 0.6371 data_time: 0.0219 memory: 13723 grad_norm: 4.0181 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0194 loss: 1.0194 2022/08/09 04:16:29 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 04:16:29 - mmengine - INFO - Epoch(train) [34][1879/1879] lr: 2.0000e-03 eta: 5:03:38 time: 0.5406 data_time: 0.0195 memory: 13723 grad_norm: 4.0110 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9840 loss: 0.9840 2022/08/09 04:16:42 - mmengine - INFO - Epoch(val) [34][20/155] eta: 0:01:26 time: 0.6428 data_time: 0.5027 memory: 1829 2022/08/09 04:16:51 - mmengine - INFO - Epoch(val) [34][40/155] eta: 0:00:52 time: 0.4564 data_time: 0.3169 memory: 1829 2022/08/09 04:17:03 - mmengine - INFO - Epoch(val) [34][60/155] eta: 0:00:55 time: 0.5843 data_time: 0.4429 memory: 1829 2022/08/09 04:17:13 - mmengine - INFO - Epoch(val) [34][80/155] eta: 0:00:36 time: 0.4917 data_time: 0.3534 memory: 1829 2022/08/09 04:17:23 - mmengine - INFO - Epoch(val) [34][100/155] eta: 0:00:28 time: 0.5096 data_time: 0.3706 memory: 1829 2022/08/09 04:17:34 - mmengine - INFO - Epoch(val) [34][120/155] eta: 0:00:18 time: 0.5350 data_time: 0.3965 memory: 1829 2022/08/09 04:17:46 - mmengine - INFO - Epoch(val) [34][140/155] eta: 0:00:09 time: 0.6149 data_time: 0.4747 memory: 1829 2022/08/09 04:18:00 - mmengine - INFO - Epoch(val) [34][155/155] acc/top1: 0.7045 acc/top5: 0.8965 acc/mean1: 0.7043 2022/08/09 04:18:00 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_32.pth is removed 2022/08/09 04:18:02 - mmengine - INFO - The best checkpoint with 0.7045 acc/top1 at 35 epoch is saved to best_acc/top1_epoch_35.pth. 2022/08/09 04:18:18 - mmengine - INFO - Epoch(train) [35][20/1879] lr: 2.0000e-03 eta: 5:03:11 time: 0.8000 data_time: 0.2017 memory: 13723 grad_norm: 3.9034 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0769 loss: 1.0769 2022/08/09 04:18:30 - mmengine - INFO - Epoch(train) [35][40/1879] lr: 2.0000e-03 eta: 5:02:59 time: 0.6229 data_time: 0.0237 memory: 13723 grad_norm: 3.8941 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0273 loss: 1.0273 2022/08/09 04:18:42 - mmengine - INFO - Epoch(train) [35][60/1879] lr: 2.0000e-03 eta: 5:02:47 time: 0.5790 data_time: 0.0252 memory: 13723 grad_norm: 4.0254 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0258 loss: 1.0258 2022/08/09 04:18:53 - mmengine - INFO - Epoch(train) [35][80/1879] lr: 2.0000e-03 eta: 5:02:34 time: 0.5864 data_time: 0.0272 memory: 13723 grad_norm: 3.9531 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1009 loss: 1.1009 2022/08/09 04:19:05 - mmengine - INFO - Epoch(train) [35][100/1879] lr: 2.0000e-03 eta: 5:02:22 time: 0.5946 data_time: 0.0245 memory: 13723 grad_norm: 3.9768 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9877 loss: 0.9877 2022/08/09 04:19:14 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 04:19:17 - mmengine - INFO - Epoch(train) [35][120/1879] lr: 2.0000e-03 eta: 5:02:10 time: 0.6130 data_time: 0.0243 memory: 13723 grad_norm: 3.9614 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9360 loss: 0.9360 2022/08/09 04:19:29 - mmengine - INFO - Epoch(train) [35][140/1879] lr: 2.0000e-03 eta: 5:01:58 time: 0.5814 data_time: 0.0259 memory: 13723 grad_norm: 3.9214 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9882 loss: 0.9882 2022/08/09 04:19:41 - mmengine - INFO - Epoch(train) [35][160/1879] lr: 2.0000e-03 eta: 5:01:46 time: 0.6109 data_time: 0.0234 memory: 13723 grad_norm: 3.9347 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0242 loss: 1.0242 2022/08/09 04:19:53 - mmengine - INFO - Epoch(train) [35][180/1879] lr: 2.0000e-03 eta: 5:01:33 time: 0.5831 data_time: 0.0237 memory: 13723 grad_norm: 4.0946 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2208 loss: 1.2208 2022/08/09 04:20:04 - mmengine - INFO - Epoch(train) [35][200/1879] lr: 2.0000e-03 eta: 5:01:21 time: 0.5718 data_time: 0.0237 memory: 13723 grad_norm: 3.9516 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9677 loss: 0.9677 2022/08/09 04:20:21 - mmengine - INFO - Epoch(train) [35][220/1879] lr: 2.0000e-03 eta: 5:01:11 time: 0.8354 data_time: 0.0831 memory: 13723 grad_norm: 3.9157 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9339 loss: 0.9339 2022/08/09 04:20:33 - mmengine - INFO - Epoch(train) [35][240/1879] lr: 2.0000e-03 eta: 5:00:59 time: 0.6007 data_time: 0.0264 memory: 13723 grad_norm: 4.0486 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0781 loss: 1.0781 2022/08/09 04:20:46 - mmengine - INFO - Epoch(train) [35][260/1879] lr: 2.0000e-03 eta: 5:00:47 time: 0.6374 data_time: 0.0228 memory: 13723 grad_norm: 4.0214 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9520 loss: 0.9520 2022/08/09 04:20:58 - mmengine - INFO - Epoch(train) [35][280/1879] lr: 2.0000e-03 eta: 5:00:35 time: 0.5920 data_time: 0.0228 memory: 13723 grad_norm: 3.8227 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9758 loss: 0.9758 2022/08/09 04:21:09 - mmengine - INFO - Epoch(train) [35][300/1879] lr: 2.0000e-03 eta: 5:00:22 time: 0.5735 data_time: 0.0243 memory: 13723 grad_norm: 3.8658 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.8819 loss: 0.8819 2022/08/09 04:21:21 - mmengine - INFO - Epoch(train) [35][320/1879] lr: 2.0000e-03 eta: 5:00:10 time: 0.5743 data_time: 0.0242 memory: 13723 grad_norm: 4.0133 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9111 loss: 0.9111 2022/08/09 04:21:32 - mmengine - INFO - Epoch(train) [35][340/1879] lr: 2.0000e-03 eta: 4:59:57 time: 0.5769 data_time: 0.0246 memory: 13723 grad_norm: 3.9055 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8947 loss: 0.8947 2022/08/09 04:21:44 - mmengine - INFO - Epoch(train) [35][360/1879] lr: 2.0000e-03 eta: 4:59:45 time: 0.5823 data_time: 0.0248 memory: 13723 grad_norm: 4.0133 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9914 loss: 0.9914 2022/08/09 04:21:56 - mmengine - INFO - Epoch(train) [35][380/1879] lr: 2.0000e-03 eta: 4:59:33 time: 0.5808 data_time: 0.0250 memory: 13723 grad_norm: 3.9822 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8921 loss: 0.8921 2022/08/09 04:22:07 - mmengine - INFO - Epoch(train) [35][400/1879] lr: 2.0000e-03 eta: 4:59:21 time: 0.5837 data_time: 0.0235 memory: 13723 grad_norm: 3.9341 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0234 loss: 1.0234 2022/08/09 04:22:19 - mmengine - INFO - Epoch(train) [35][420/1879] lr: 2.0000e-03 eta: 4:59:08 time: 0.5998 data_time: 0.0495 memory: 13723 grad_norm: 4.0620 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0696 loss: 1.0696 2022/08/09 04:22:31 - mmengine - INFO - Epoch(train) [35][440/1879] lr: 2.0000e-03 eta: 4:58:56 time: 0.5653 data_time: 0.0233 memory: 13723 grad_norm: 3.9963 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0580 loss: 1.0580 2022/08/09 04:22:43 - mmengine - INFO - Epoch(train) [35][460/1879] lr: 2.0000e-03 eta: 4:58:44 time: 0.5949 data_time: 0.0459 memory: 13723 grad_norm: 4.1275 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0011 loss: 1.0011 2022/08/09 04:22:54 - mmengine - INFO - Epoch(train) [35][480/1879] lr: 2.0000e-03 eta: 4:58:31 time: 0.5814 data_time: 0.0249 memory: 13723 grad_norm: 4.0544 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9538 loss: 0.9538 2022/08/09 04:23:06 - mmengine - INFO - Epoch(train) [35][500/1879] lr: 2.0000e-03 eta: 4:58:19 time: 0.5806 data_time: 0.0248 memory: 13723 grad_norm: 3.9886 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9928 loss: 0.9928 2022/08/09 04:23:18 - mmengine - INFO - Epoch(train) [35][520/1879] lr: 2.0000e-03 eta: 4:58:07 time: 0.5869 data_time: 0.0300 memory: 13723 grad_norm: 4.0042 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0658 loss: 1.0658 2022/08/09 04:23:29 - mmengine - INFO - Epoch(train) [35][540/1879] lr: 2.0000e-03 eta: 4:57:54 time: 0.5827 data_time: 0.0244 memory: 13723 grad_norm: 3.9343 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8708 loss: 0.8708 2022/08/09 04:23:41 - mmengine - INFO - Epoch(train) [35][560/1879] lr: 2.0000e-03 eta: 4:57:42 time: 0.5838 data_time: 0.0255 memory: 13723 grad_norm: 4.0120 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8734 loss: 0.8734 2022/08/09 04:23:52 - mmengine - INFO - Epoch(train) [35][580/1879] lr: 2.0000e-03 eta: 4:57:30 time: 0.5749 data_time: 0.0234 memory: 13723 grad_norm: 4.0902 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0993 loss: 1.0993 2022/08/09 04:24:04 - mmengine - INFO - Epoch(train) [35][600/1879] lr: 2.0000e-03 eta: 4:57:17 time: 0.5801 data_time: 0.0245 memory: 13723 grad_norm: 3.8357 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8285 loss: 0.8285 2022/08/09 04:24:15 - mmengine - INFO - Epoch(train) [35][620/1879] lr: 2.0000e-03 eta: 4:57:05 time: 0.5735 data_time: 0.0252 memory: 13723 grad_norm: 4.0411 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9769 loss: 0.9769 2022/08/09 04:24:27 - mmengine - INFO - Epoch(train) [35][640/1879] lr: 2.0000e-03 eta: 4:56:53 time: 0.5797 data_time: 0.0294 memory: 13723 grad_norm: 3.9039 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9526 loss: 0.9526 2022/08/09 04:24:39 - mmengine - INFO - Epoch(train) [35][660/1879] lr: 2.0000e-03 eta: 4:56:40 time: 0.5792 data_time: 0.0209 memory: 13723 grad_norm: 3.9383 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8949 loss: 0.8949 2022/08/09 04:24:50 - mmengine - INFO - Epoch(train) [35][680/1879] lr: 2.0000e-03 eta: 4:56:28 time: 0.5767 data_time: 0.0250 memory: 13723 grad_norm: 3.9314 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0612 loss: 1.0612 2022/08/09 04:25:02 - mmengine - INFO - Epoch(train) [35][700/1879] lr: 2.0000e-03 eta: 4:56:16 time: 0.5750 data_time: 0.0251 memory: 13723 grad_norm: 3.9116 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0014 loss: 1.0014 2022/08/09 04:25:16 - mmengine - INFO - Epoch(train) [35][720/1879] lr: 2.0000e-03 eta: 4:56:04 time: 0.7174 data_time: 0.0257 memory: 13723 grad_norm: 3.9369 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0140 loss: 1.0140 2022/08/09 04:25:28 - mmengine - INFO - Epoch(train) [35][740/1879] lr: 2.0000e-03 eta: 4:55:52 time: 0.6058 data_time: 0.0226 memory: 13723 grad_norm: 4.0173 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0693 loss: 1.0693 2022/08/09 04:25:40 - mmengine - INFO - Epoch(train) [35][760/1879] lr: 2.0000e-03 eta: 4:55:40 time: 0.5871 data_time: 0.0235 memory: 13723 grad_norm: 4.0714 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9690 loss: 0.9690 2022/08/09 04:25:52 - mmengine - INFO - Epoch(train) [35][780/1879] lr: 2.0000e-03 eta: 4:55:28 time: 0.5776 data_time: 0.0264 memory: 13723 grad_norm: 3.9605 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9216 loss: 0.9216 2022/08/09 04:26:03 - mmengine - INFO - Epoch(train) [35][800/1879] lr: 2.0000e-03 eta: 4:55:15 time: 0.5791 data_time: 0.0258 memory: 13723 grad_norm: 3.9117 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0004 loss: 1.0004 2022/08/09 04:26:15 - mmengine - INFO - Epoch(train) [35][820/1879] lr: 2.0000e-03 eta: 4:55:03 time: 0.5743 data_time: 0.0249 memory: 13723 grad_norm: 3.9543 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9712 loss: 0.9712 2022/08/09 04:26:26 - mmengine - INFO - Epoch(train) [35][840/1879] lr: 2.0000e-03 eta: 4:54:51 time: 0.5769 data_time: 0.0262 memory: 13723 grad_norm: 3.9354 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0635 loss: 1.0635 2022/08/09 04:26:38 - mmengine - INFO - Epoch(train) [35][860/1879] lr: 2.0000e-03 eta: 4:54:38 time: 0.5816 data_time: 0.0245 memory: 13723 grad_norm: 3.9863 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9364 loss: 0.9364 2022/08/09 04:26:49 - mmengine - INFO - Epoch(train) [35][880/1879] lr: 2.0000e-03 eta: 4:54:26 time: 0.5698 data_time: 0.0242 memory: 13723 grad_norm: 3.9327 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8471 loss: 0.8471 2022/08/09 04:27:01 - mmengine - INFO - Epoch(train) [35][900/1879] lr: 2.0000e-03 eta: 4:54:13 time: 0.5727 data_time: 0.0242 memory: 13723 grad_norm: 4.0533 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0071 loss: 1.0071 2022/08/09 04:27:12 - mmengine - INFO - Epoch(train) [35][920/1879] lr: 2.0000e-03 eta: 4:54:01 time: 0.5772 data_time: 0.0241 memory: 13723 grad_norm: 4.0061 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9880 loss: 0.9880 2022/08/09 04:27:24 - mmengine - INFO - Epoch(train) [35][940/1879] lr: 2.0000e-03 eta: 4:53:49 time: 0.5821 data_time: 0.0246 memory: 13723 grad_norm: 3.9814 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0591 loss: 1.0591 2022/08/09 04:27:36 - mmengine - INFO - Epoch(train) [35][960/1879] lr: 2.0000e-03 eta: 4:53:36 time: 0.5860 data_time: 0.0279 memory: 13723 grad_norm: 3.8468 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9339 loss: 0.9339 2022/08/09 04:27:47 - mmengine - INFO - Epoch(train) [35][980/1879] lr: 2.0000e-03 eta: 4:53:24 time: 0.5818 data_time: 0.0227 memory: 13723 grad_norm: 3.9438 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9767 loss: 0.9767 2022/08/09 04:27:59 - mmengine - INFO - Epoch(train) [35][1000/1879] lr: 2.0000e-03 eta: 4:53:12 time: 0.5798 data_time: 0.0242 memory: 13723 grad_norm: 3.7931 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9370 loss: 0.9370 2022/08/09 04:28:10 - mmengine - INFO - Epoch(train) [35][1020/1879] lr: 2.0000e-03 eta: 4:52:59 time: 0.5784 data_time: 0.0235 memory: 13723 grad_norm: 3.8989 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0217 loss: 1.0217 2022/08/09 04:28:22 - mmengine - INFO - Epoch(train) [35][1040/1879] lr: 2.0000e-03 eta: 4:52:47 time: 0.5772 data_time: 0.0249 memory: 13723 grad_norm: 4.0054 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0000 loss: 1.0000 2022/08/09 04:28:33 - mmengine - INFO - Epoch(train) [35][1060/1879] lr: 2.0000e-03 eta: 4:52:35 time: 0.5724 data_time: 0.0238 memory: 13723 grad_norm: 4.0131 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8742 loss: 0.8742 2022/08/09 04:28:45 - mmengine - INFO - Epoch(train) [35][1080/1879] lr: 2.0000e-03 eta: 4:52:22 time: 0.5722 data_time: 0.0255 memory: 13723 grad_norm: 4.2109 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0902 loss: 1.0902 2022/08/09 04:28:56 - mmengine - INFO - Epoch(train) [35][1100/1879] lr: 2.0000e-03 eta: 4:52:10 time: 0.5719 data_time: 0.0234 memory: 13723 grad_norm: 3.9860 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9443 loss: 0.9443 2022/08/09 04:29:05 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 04:29:08 - mmengine - INFO - Epoch(train) [35][1120/1879] lr: 2.0000e-03 eta: 4:51:58 time: 0.5839 data_time: 0.0259 memory: 13723 grad_norm: 3.9553 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9499 loss: 0.9499 2022/08/09 04:29:20 - mmengine - INFO - Epoch(train) [35][1140/1879] lr: 2.0000e-03 eta: 4:51:45 time: 0.5785 data_time: 0.0250 memory: 13723 grad_norm: 3.9207 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9379 loss: 0.9379 2022/08/09 04:29:31 - mmengine - INFO - Epoch(train) [35][1160/1879] lr: 2.0000e-03 eta: 4:51:33 time: 0.5696 data_time: 0.0241 memory: 13723 grad_norm: 3.8843 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8044 loss: 0.8044 2022/08/09 04:29:43 - mmengine - INFO - Epoch(train) [35][1180/1879] lr: 2.0000e-03 eta: 4:51:21 time: 0.5792 data_time: 0.0265 memory: 13723 grad_norm: 3.9774 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9999 loss: 0.9999 2022/08/09 04:29:54 - mmengine - INFO - Epoch(train) [35][1200/1879] lr: 2.0000e-03 eta: 4:51:08 time: 0.5778 data_time: 0.0259 memory: 13723 grad_norm: 3.9615 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9959 loss: 0.9959 2022/08/09 04:30:06 - mmengine - INFO - Epoch(train) [35][1220/1879] lr: 2.0000e-03 eta: 4:50:56 time: 0.5852 data_time: 0.0295 memory: 13723 grad_norm: 4.0444 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2597 loss: 1.2597 2022/08/09 04:30:20 - mmengine - INFO - Epoch(train) [35][1240/1879] lr: 2.0000e-03 eta: 4:50:45 time: 0.6989 data_time: 0.1019 memory: 13723 grad_norm: 4.1963 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0555 loss: 1.0555 2022/08/09 04:30:32 - mmengine - INFO - Epoch(train) [35][1260/1879] lr: 2.0000e-03 eta: 4:50:33 time: 0.6109 data_time: 0.0526 memory: 13723 grad_norm: 3.9081 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 0.9396 loss: 0.9396 2022/08/09 04:30:44 - mmengine - INFO - Epoch(train) [35][1280/1879] lr: 2.0000e-03 eta: 4:50:20 time: 0.5955 data_time: 0.0369 memory: 13723 grad_norm: 4.0925 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1083 loss: 1.1083 2022/08/09 04:30:56 - mmengine - INFO - Epoch(train) [35][1300/1879] lr: 2.0000e-03 eta: 4:50:08 time: 0.5801 data_time: 0.0260 memory: 13723 grad_norm: 4.0018 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0546 loss: 1.0546 2022/08/09 04:31:07 - mmengine - INFO - Epoch(train) [35][1320/1879] lr: 2.0000e-03 eta: 4:49:56 time: 0.5807 data_time: 0.0225 memory: 13723 grad_norm: 4.0034 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1368 loss: 1.1368 2022/08/09 04:31:20 - mmengine - INFO - Epoch(train) [35][1340/1879] lr: 2.0000e-03 eta: 4:49:44 time: 0.6178 data_time: 0.0242 memory: 13723 grad_norm: 3.9878 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7229 loss: 0.7229 2022/08/09 04:31:31 - mmengine - INFO - Epoch(train) [35][1360/1879] lr: 2.0000e-03 eta: 4:49:31 time: 0.5794 data_time: 0.0267 memory: 13723 grad_norm: 4.0215 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0007 loss: 1.0007 2022/08/09 04:31:47 - mmengine - INFO - Epoch(train) [35][1380/1879] lr: 2.0000e-03 eta: 4:49:21 time: 0.8026 data_time: 0.2555 memory: 13723 grad_norm: 3.9586 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8404 loss: 0.8404 2022/08/09 04:32:00 - mmengine - INFO - Epoch(train) [35][1400/1879] lr: 2.0000e-03 eta: 4:49:09 time: 0.6226 data_time: 0.0843 memory: 13723 grad_norm: 4.0328 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8161 loss: 0.8161 2022/08/09 04:32:11 - mmengine - INFO - Epoch(train) [35][1420/1879] lr: 2.0000e-03 eta: 4:48:57 time: 0.5709 data_time: 0.0210 memory: 13723 grad_norm: 4.0499 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9161 loss: 0.9161 2022/08/09 04:32:23 - mmengine - INFO - Epoch(train) [35][1440/1879] lr: 2.0000e-03 eta: 4:48:45 time: 0.5985 data_time: 0.0257 memory: 13723 grad_norm: 4.0147 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0324 loss: 1.0324 2022/08/09 04:32:35 - mmengine - INFO - Epoch(train) [35][1460/1879] lr: 2.0000e-03 eta: 4:48:32 time: 0.5780 data_time: 0.0205 memory: 13723 grad_norm: 3.8602 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9104 loss: 0.9104 2022/08/09 04:32:48 - mmengine - INFO - Epoch(train) [35][1480/1879] lr: 2.0000e-03 eta: 4:48:20 time: 0.6474 data_time: 0.0269 memory: 13723 grad_norm: 3.9995 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0388 loss: 1.0388 2022/08/09 04:33:00 - mmengine - INFO - Epoch(train) [35][1500/1879] lr: 2.0000e-03 eta: 4:48:08 time: 0.6015 data_time: 0.0171 memory: 13723 grad_norm: 4.0087 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0901 loss: 1.0901 2022/08/09 04:33:11 - mmengine - INFO - Epoch(train) [35][1520/1879] lr: 2.0000e-03 eta: 4:47:56 time: 0.5757 data_time: 0.0288 memory: 13723 grad_norm: 4.0848 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9981 loss: 0.9981 2022/08/09 04:33:23 - mmengine - INFO - Epoch(train) [35][1540/1879] lr: 2.0000e-03 eta: 4:47:43 time: 0.5644 data_time: 0.0273 memory: 13723 grad_norm: 3.9660 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9011 loss: 0.9011 2022/08/09 04:33:34 - mmengine - INFO - Epoch(train) [35][1560/1879] lr: 2.0000e-03 eta: 4:47:31 time: 0.5758 data_time: 0.0231 memory: 13723 grad_norm: 4.0483 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0368 loss: 1.0368 2022/08/09 04:33:46 - mmengine - INFO - Epoch(train) [35][1580/1879] lr: 2.0000e-03 eta: 4:47:19 time: 0.5794 data_time: 0.0287 memory: 13723 grad_norm: 4.0663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0762 loss: 1.0762 2022/08/09 04:33:57 - mmengine - INFO - Epoch(train) [35][1600/1879] lr: 2.0000e-03 eta: 4:47:06 time: 0.5713 data_time: 0.0219 memory: 13723 grad_norm: 3.9954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9355 loss: 0.9355 2022/08/09 04:34:09 - mmengine - INFO - Epoch(train) [35][1620/1879] lr: 2.0000e-03 eta: 4:46:54 time: 0.5710 data_time: 0.0281 memory: 13723 grad_norm: 4.1811 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9475 loss: 0.9475 2022/08/09 04:34:20 - mmengine - INFO - Epoch(train) [35][1640/1879] lr: 2.0000e-03 eta: 4:46:42 time: 0.5766 data_time: 0.0228 memory: 13723 grad_norm: 4.0625 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9862 loss: 0.9862 2022/08/09 04:34:32 - mmengine - INFO - Epoch(train) [35][1660/1879] lr: 2.0000e-03 eta: 4:46:29 time: 0.5734 data_time: 0.0263 memory: 13723 grad_norm: 3.9951 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9282 loss: 0.9282 2022/08/09 04:34:43 - mmengine - INFO - Epoch(train) [35][1680/1879] lr: 2.0000e-03 eta: 4:46:17 time: 0.5815 data_time: 0.0233 memory: 13723 grad_norm: 4.2266 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9949 loss: 0.9949 2022/08/09 04:34:55 - mmengine - INFO - Epoch(train) [35][1700/1879] lr: 2.0000e-03 eta: 4:46:05 time: 0.5670 data_time: 0.0272 memory: 13723 grad_norm: 4.0522 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8732 loss: 0.8732 2022/08/09 04:35:06 - mmengine - INFO - Epoch(train) [35][1720/1879] lr: 2.0000e-03 eta: 4:45:52 time: 0.5839 data_time: 0.0302 memory: 13723 grad_norm: 3.9774 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9664 loss: 0.9664 2022/08/09 04:35:19 - mmengine - INFO - Epoch(train) [35][1740/1879] lr: 2.0000e-03 eta: 4:45:40 time: 0.6466 data_time: 0.0997 memory: 13723 grad_norm: 4.2228 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9123 loss: 0.9123 2022/08/09 04:35:31 - mmengine - INFO - Epoch(train) [35][1760/1879] lr: 2.0000e-03 eta: 4:45:28 time: 0.5806 data_time: 0.0259 memory: 13723 grad_norm: 3.9837 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9436 loss: 0.9436 2022/08/09 04:35:43 - mmengine - INFO - Epoch(train) [35][1780/1879] lr: 2.0000e-03 eta: 4:45:16 time: 0.5990 data_time: 0.0239 memory: 13723 grad_norm: 4.0048 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9163 loss: 0.9163 2022/08/09 04:35:55 - mmengine - INFO - Epoch(train) [35][1800/1879] lr: 2.0000e-03 eta: 4:45:04 time: 0.5865 data_time: 0.0256 memory: 13723 grad_norm: 4.1500 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8927 loss: 0.8927 2022/08/09 04:36:06 - mmengine - INFO - Epoch(train) [35][1820/1879] lr: 2.0000e-03 eta: 4:44:51 time: 0.5809 data_time: 0.0252 memory: 13723 grad_norm: 4.1278 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0841 loss: 1.0841 2022/08/09 04:36:18 - mmengine - INFO - Epoch(train) [35][1840/1879] lr: 2.0000e-03 eta: 4:44:39 time: 0.5775 data_time: 0.0245 memory: 13723 grad_norm: 4.0215 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9755 loss: 0.9755 2022/08/09 04:36:29 - mmengine - INFO - Epoch(train) [35][1860/1879] lr: 2.0000e-03 eta: 4:44:27 time: 0.5784 data_time: 0.0254 memory: 13723 grad_norm: 4.0970 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9572 loss: 0.9572 2022/08/09 04:36:39 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 04:36:39 - mmengine - INFO - Epoch(train) [35][1879/1879] lr: 2.0000e-03 eta: 4:44:27 time: 0.5380 data_time: 0.0174 memory: 13723 grad_norm: 4.0692 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9445 loss: 0.9445 2022/08/09 04:36:53 - mmengine - INFO - Epoch(val) [35][20/155] eta: 0:01:28 time: 0.6521 data_time: 0.5106 memory: 1829 2022/08/09 04:37:02 - mmengine - INFO - Epoch(val) [35][40/155] eta: 0:00:53 time: 0.4638 data_time: 0.3242 memory: 1829 2022/08/09 04:37:16 - mmengine - INFO - Epoch(val) [35][60/155] eta: 0:01:07 time: 0.7083 data_time: 0.5683 memory: 1829 2022/08/09 04:37:25 - mmengine - INFO - Epoch(val) [35][80/155] eta: 0:00:34 time: 0.4662 data_time: 0.3266 memory: 1829 2022/08/09 04:37:38 - mmengine - INFO - Epoch(val) [35][100/155] eta: 0:00:34 time: 0.6218 data_time: 0.4814 memory: 1829 2022/08/09 04:37:46 - mmengine - INFO - Epoch(val) [35][120/155] eta: 0:00:14 time: 0.4221 data_time: 0.2831 memory: 1829 2022/08/09 04:37:59 - mmengine - INFO - Epoch(val) [35][140/155] eta: 0:00:09 time: 0.6540 data_time: 0.5151 memory: 1829 2022/08/09 04:38:10 - mmengine - INFO - Epoch(val) [35][155/155] acc/top1: 0.7058 acc/top5: 0.8961 acc/mean1: 0.7057 2022/08/09 04:38:10 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_35.pth is removed 2022/08/09 04:38:11 - mmengine - INFO - The best checkpoint with 0.7058 acc/top1 at 36 epoch is saved to best_acc/top1_epoch_36.pth. 2022/08/09 04:38:28 - mmengine - INFO - Epoch(train) [36][20/1879] lr: 2.0000e-03 eta: 4:44:00 time: 0.8535 data_time: 0.2052 memory: 13723 grad_norm: 4.0577 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0889 loss: 1.0889 2022/08/09 04:38:40 - mmengine - INFO - Epoch(train) [36][40/1879] lr: 2.0000e-03 eta: 4:43:48 time: 0.6169 data_time: 0.0236 memory: 13723 grad_norm: 3.9214 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8012 loss: 0.8012 2022/08/09 04:38:52 - mmengine - INFO - Epoch(train) [36][60/1879] lr: 2.0000e-03 eta: 4:43:36 time: 0.5747 data_time: 0.0253 memory: 13723 grad_norm: 4.0379 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0253 loss: 1.0253 2022/08/09 04:39:03 - mmengine - INFO - Epoch(train) [36][80/1879] lr: 2.0000e-03 eta: 4:43:24 time: 0.5682 data_time: 0.0238 memory: 13723 grad_norm: 3.9595 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8346 loss: 0.8346 2022/08/09 04:39:15 - mmengine - INFO - Epoch(train) [36][100/1879] lr: 2.0000e-03 eta: 4:43:11 time: 0.5766 data_time: 0.0267 memory: 13723 grad_norm: 3.9953 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9818 loss: 0.9818 2022/08/09 04:39:26 - mmengine - INFO - Epoch(train) [36][120/1879] lr: 2.0000e-03 eta: 4:42:59 time: 0.5790 data_time: 0.0257 memory: 13723 grad_norm: 3.8563 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0147 loss: 1.0147 2022/08/09 04:39:39 - mmengine - INFO - Epoch(train) [36][140/1879] lr: 2.0000e-03 eta: 4:42:47 time: 0.6497 data_time: 0.0269 memory: 13723 grad_norm: 4.1322 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0089 loss: 1.0089 2022/08/09 04:39:51 - mmengine - INFO - Epoch(train) [36][160/1879] lr: 2.0000e-03 eta: 4:42:35 time: 0.5681 data_time: 0.0210 memory: 13723 grad_norm: 4.0156 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8652 loss: 0.8652 2022/08/09 04:40:03 - mmengine - INFO - Epoch(train) [36][180/1879] lr: 2.0000e-03 eta: 4:42:23 time: 0.6078 data_time: 0.0233 memory: 13723 grad_norm: 3.9849 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8042 loss: 0.8042 2022/08/09 04:40:15 - mmengine - INFO - Epoch(train) [36][200/1879] lr: 2.0000e-03 eta: 4:42:10 time: 0.5764 data_time: 0.0238 memory: 13723 grad_norm: 4.1150 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9757 loss: 0.9757 2022/08/09 04:40:27 - mmengine - INFO - Epoch(train) [36][220/1879] lr: 2.0000e-03 eta: 4:41:59 time: 0.6413 data_time: 0.0250 memory: 13723 grad_norm: 4.0115 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8814 loss: 0.8814 2022/08/09 04:40:37 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 04:40:40 - mmengine - INFO - Epoch(train) [36][240/1879] lr: 2.0000e-03 eta: 4:41:47 time: 0.6203 data_time: 0.0277 memory: 13723 grad_norm: 4.0082 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9364 loss: 0.9364 2022/08/09 04:40:52 - mmengine - INFO - Epoch(train) [36][260/1879] lr: 2.0000e-03 eta: 4:41:35 time: 0.6097 data_time: 0.0252 memory: 13723 grad_norm: 3.9335 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9786 loss: 0.9786 2022/08/09 04:41:04 - mmengine - INFO - Epoch(train) [36][280/1879] lr: 2.0000e-03 eta: 4:41:22 time: 0.5924 data_time: 0.0247 memory: 13723 grad_norm: 3.8557 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8823 loss: 0.8823 2022/08/09 04:41:16 - mmengine - INFO - Epoch(train) [36][300/1879] lr: 2.0000e-03 eta: 4:41:10 time: 0.5909 data_time: 0.0243 memory: 13723 grad_norm: 3.9082 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9566 loss: 0.9566 2022/08/09 04:41:28 - mmengine - INFO - Epoch(train) [36][320/1879] lr: 2.0000e-03 eta: 4:40:58 time: 0.6138 data_time: 0.0220 memory: 13723 grad_norm: 3.9786 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0172 loss: 1.0172 2022/08/09 04:41:39 - mmengine - INFO - Epoch(train) [36][340/1879] lr: 2.0000e-03 eta: 4:40:46 time: 0.5737 data_time: 0.0250 memory: 13723 grad_norm: 4.0391 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0363 loss: 1.0363 2022/08/09 04:41:51 - mmengine - INFO - Epoch(train) [36][360/1879] lr: 2.0000e-03 eta: 4:40:33 time: 0.5728 data_time: 0.0240 memory: 13723 grad_norm: 4.0307 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9492 loss: 0.9492 2022/08/09 04:42:03 - mmengine - INFO - Epoch(train) [36][380/1879] lr: 2.0000e-03 eta: 4:40:21 time: 0.5847 data_time: 0.0250 memory: 13723 grad_norm: 3.8639 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9409 loss: 0.9409 2022/08/09 04:42:14 - mmengine - INFO - Epoch(train) [36][400/1879] lr: 2.0000e-03 eta: 4:40:09 time: 0.5800 data_time: 0.0243 memory: 13723 grad_norm: 3.9436 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0140 loss: 1.0140 2022/08/09 04:42:26 - mmengine - INFO - Epoch(train) [36][420/1879] lr: 2.0000e-03 eta: 4:39:57 time: 0.5840 data_time: 0.0250 memory: 13723 grad_norm: 3.9225 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9804 loss: 0.9804 2022/08/09 04:42:37 - mmengine - INFO - Epoch(train) [36][440/1879] lr: 2.0000e-03 eta: 4:39:44 time: 0.5724 data_time: 0.0242 memory: 13723 grad_norm: 4.0845 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.9450 loss: 0.9450 2022/08/09 04:42:51 - mmengine - INFO - Epoch(train) [36][460/1879] lr: 2.0000e-03 eta: 4:39:33 time: 0.6618 data_time: 0.0215 memory: 13723 grad_norm: 3.9102 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8435 loss: 0.8435 2022/08/09 04:43:02 - mmengine - INFO - Epoch(train) [36][480/1879] lr: 2.0000e-03 eta: 4:39:20 time: 0.5741 data_time: 0.0229 memory: 13723 grad_norm: 3.9937 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9291 loss: 0.9291 2022/08/09 04:43:14 - mmengine - INFO - Epoch(train) [36][500/1879] lr: 2.0000e-03 eta: 4:39:08 time: 0.5784 data_time: 0.0235 memory: 13723 grad_norm: 3.9336 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0817 loss: 1.0817 2022/08/09 04:43:25 - mmengine - INFO - Epoch(train) [36][520/1879] lr: 2.0000e-03 eta: 4:38:55 time: 0.5748 data_time: 0.0257 memory: 13723 grad_norm: 4.0222 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8479 loss: 0.8479 2022/08/09 04:43:37 - mmengine - INFO - Epoch(train) [36][540/1879] lr: 2.0000e-03 eta: 4:38:43 time: 0.5810 data_time: 0.0241 memory: 13723 grad_norm: 4.1516 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8905 loss: 0.8905 2022/08/09 04:43:48 - mmengine - INFO - Epoch(train) [36][560/1879] lr: 2.0000e-03 eta: 4:38:31 time: 0.5812 data_time: 0.0238 memory: 13723 grad_norm: 4.0726 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9307 loss: 0.9307 2022/08/09 04:44:00 - mmengine - INFO - Epoch(train) [36][580/1879] lr: 2.0000e-03 eta: 4:38:19 time: 0.5841 data_time: 0.0254 memory: 13723 grad_norm: 4.0442 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9742 loss: 0.9742 2022/08/09 04:44:12 - mmengine - INFO - Epoch(train) [36][600/1879] lr: 2.0000e-03 eta: 4:38:06 time: 0.5980 data_time: 0.0392 memory: 13723 grad_norm: 3.9934 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8617 loss: 0.8617 2022/08/09 04:44:24 - mmengine - INFO - Epoch(train) [36][620/1879] lr: 2.0000e-03 eta: 4:37:54 time: 0.5810 data_time: 0.0243 memory: 13723 grad_norm: 4.0310 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9317 loss: 0.9317 2022/08/09 04:44:36 - mmengine - INFO - Epoch(train) [36][640/1879] lr: 2.0000e-03 eta: 4:37:42 time: 0.6282 data_time: 0.0251 memory: 13723 grad_norm: 3.9433 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8223 loss: 0.8223 2022/08/09 04:44:48 - mmengine - INFO - Epoch(train) [36][660/1879] lr: 2.0000e-03 eta: 4:37:30 time: 0.5966 data_time: 0.0223 memory: 13723 grad_norm: 4.0119 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8537 loss: 0.8537 2022/08/09 04:45:00 - mmengine - INFO - Epoch(train) [36][680/1879] lr: 2.0000e-03 eta: 4:37:18 time: 0.5883 data_time: 0.0239 memory: 13723 grad_norm: 3.9850 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0652 loss: 1.0652 2022/08/09 04:45:15 - mmengine - INFO - Epoch(train) [36][700/1879] lr: 2.0000e-03 eta: 4:37:07 time: 0.7571 data_time: 0.0197 memory: 13723 grad_norm: 3.9068 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9727 loss: 0.9727 2022/08/09 04:45:27 - mmengine - INFO - Epoch(train) [36][720/1879] lr: 2.0000e-03 eta: 4:36:55 time: 0.5889 data_time: 0.0300 memory: 13723 grad_norm: 3.9943 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0173 loss: 1.0173 2022/08/09 04:45:39 - mmengine - INFO - Epoch(train) [36][740/1879] lr: 2.0000e-03 eta: 4:36:43 time: 0.6240 data_time: 0.0225 memory: 13723 grad_norm: 4.1472 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0339 loss: 1.0339 2022/08/09 04:45:51 - mmengine - INFO - Epoch(train) [36][760/1879] lr: 2.0000e-03 eta: 4:36:31 time: 0.5771 data_time: 0.0269 memory: 13723 grad_norm: 3.9247 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9880 loss: 0.9880 2022/08/09 04:46:03 - mmengine - INFO - Epoch(train) [36][780/1879] lr: 2.0000e-03 eta: 4:36:18 time: 0.5756 data_time: 0.0253 memory: 13723 grad_norm: 3.9750 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9502 loss: 0.9502 2022/08/09 04:46:14 - mmengine - INFO - Epoch(train) [36][800/1879] lr: 2.0000e-03 eta: 4:36:06 time: 0.5745 data_time: 0.0239 memory: 13723 grad_norm: 4.1202 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0664 loss: 1.0664 2022/08/09 04:46:26 - mmengine - INFO - Epoch(train) [36][820/1879] lr: 2.0000e-03 eta: 4:35:54 time: 0.5824 data_time: 0.0258 memory: 13723 grad_norm: 4.1222 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9710 loss: 0.9710 2022/08/09 04:46:38 - mmengine - INFO - Epoch(train) [36][840/1879] lr: 2.0000e-03 eta: 4:35:42 time: 0.6356 data_time: 0.0234 memory: 13723 grad_norm: 4.0757 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0246 loss: 1.0246 2022/08/09 04:46:50 - mmengine - INFO - Epoch(train) [36][860/1879] lr: 2.0000e-03 eta: 4:35:29 time: 0.5744 data_time: 0.0245 memory: 13723 grad_norm: 4.0811 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1074 loss: 1.1074 2022/08/09 04:47:01 - mmengine - INFO - Epoch(train) [36][880/1879] lr: 2.0000e-03 eta: 4:35:17 time: 0.5761 data_time: 0.0248 memory: 13723 grad_norm: 4.0452 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9298 loss: 0.9298 2022/08/09 04:47:13 - mmengine - INFO - Epoch(train) [36][900/1879] lr: 2.0000e-03 eta: 4:35:05 time: 0.5725 data_time: 0.0271 memory: 13723 grad_norm: 3.9446 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9140 loss: 0.9140 2022/08/09 04:47:25 - mmengine - INFO - Epoch(train) [36][920/1879] lr: 2.0000e-03 eta: 4:34:52 time: 0.5790 data_time: 0.0228 memory: 13723 grad_norm: 4.1382 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9151 loss: 0.9151 2022/08/09 04:47:36 - mmengine - INFO - Epoch(train) [36][940/1879] lr: 2.0000e-03 eta: 4:34:40 time: 0.5818 data_time: 0.0273 memory: 13723 grad_norm: 4.0955 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0148 loss: 1.0148 2022/08/09 04:47:48 - mmengine - INFO - Epoch(train) [36][960/1879] lr: 2.0000e-03 eta: 4:34:28 time: 0.5824 data_time: 0.0242 memory: 13723 grad_norm: 3.9634 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0379 loss: 1.0379 2022/08/09 04:47:59 - mmengine - INFO - Epoch(train) [36][980/1879] lr: 2.0000e-03 eta: 4:34:15 time: 0.5772 data_time: 0.0257 memory: 13723 grad_norm: 3.9825 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9253 loss: 0.9253 2022/08/09 04:48:12 - mmengine - INFO - Epoch(train) [36][1000/1879] lr: 2.0000e-03 eta: 4:34:03 time: 0.6085 data_time: 0.0225 memory: 13723 grad_norm: 4.1296 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0155 loss: 1.0155 2022/08/09 04:48:23 - mmengine - INFO - Epoch(train) [36][1020/1879] lr: 2.0000e-03 eta: 4:33:51 time: 0.5778 data_time: 0.0382 memory: 13723 grad_norm: 3.8894 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8659 loss: 0.8659 2022/08/09 04:48:35 - mmengine - INFO - Epoch(train) [36][1040/1879] lr: 2.0000e-03 eta: 4:33:39 time: 0.5877 data_time: 0.0272 memory: 13723 grad_norm: 4.0647 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9126 loss: 0.9126 2022/08/09 04:48:48 - mmengine - INFO - Epoch(train) [36][1060/1879] lr: 2.0000e-03 eta: 4:33:27 time: 0.6787 data_time: 0.0269 memory: 13723 grad_norm: 3.9520 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8433 loss: 0.8433 2022/08/09 04:49:01 - mmengine - INFO - Epoch(train) [36][1080/1879] lr: 2.0000e-03 eta: 4:33:15 time: 0.6260 data_time: 0.0226 memory: 13723 grad_norm: 4.0830 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0037 loss: 1.0037 2022/08/09 04:49:12 - mmengine - INFO - Epoch(train) [36][1100/1879] lr: 2.0000e-03 eta: 4:33:03 time: 0.5687 data_time: 0.0255 memory: 13723 grad_norm: 4.0883 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0290 loss: 1.0290 2022/08/09 04:49:24 - mmengine - INFO - Epoch(train) [36][1120/1879] lr: 2.0000e-03 eta: 4:32:51 time: 0.5701 data_time: 0.0242 memory: 13723 grad_norm: 4.1197 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0059 loss: 1.0059 2022/08/09 04:49:35 - mmengine - INFO - Epoch(train) [36][1140/1879] lr: 2.0000e-03 eta: 4:32:38 time: 0.5795 data_time: 0.0269 memory: 13723 grad_norm: 4.0201 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7665 loss: 0.7665 2022/08/09 04:49:47 - mmengine - INFO - Epoch(train) [36][1160/1879] lr: 2.0000e-03 eta: 4:32:26 time: 0.5816 data_time: 0.0250 memory: 13723 grad_norm: 4.1730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9485 loss: 0.9485 2022/08/09 04:49:59 - mmengine - INFO - Epoch(train) [36][1180/1879] lr: 2.0000e-03 eta: 4:32:14 time: 0.5786 data_time: 0.0272 memory: 13723 grad_norm: 4.1046 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9898 loss: 0.9898 2022/08/09 04:50:10 - mmengine - INFO - Epoch(train) [36][1200/1879] lr: 2.0000e-03 eta: 4:32:01 time: 0.5806 data_time: 0.0303 memory: 13723 grad_norm: 4.2152 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9511 loss: 0.9511 2022/08/09 04:50:22 - mmengine - INFO - Epoch(train) [36][1220/1879] lr: 2.0000e-03 eta: 4:31:49 time: 0.5955 data_time: 0.0254 memory: 13723 grad_norm: 4.1821 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0676 loss: 1.0676 2022/08/09 04:50:31 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 04:50:34 - mmengine - INFO - Epoch(train) [36][1240/1879] lr: 2.0000e-03 eta: 4:31:37 time: 0.5875 data_time: 0.0274 memory: 13723 grad_norm: 3.9583 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9839 loss: 0.9839 2022/08/09 04:50:46 - mmengine - INFO - Epoch(train) [36][1260/1879] lr: 2.0000e-03 eta: 4:31:25 time: 0.5918 data_time: 0.0272 memory: 13723 grad_norm: 4.1582 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0794 loss: 1.0794 2022/08/09 04:50:58 - mmengine - INFO - Epoch(train) [36][1280/1879] lr: 2.0000e-03 eta: 4:31:13 time: 0.5888 data_time: 0.0245 memory: 13723 grad_norm: 4.1026 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8493 loss: 0.8493 2022/08/09 04:51:09 - mmengine - INFO - Epoch(train) [36][1300/1879] lr: 2.0000e-03 eta: 4:31:00 time: 0.5918 data_time: 0.0238 memory: 13723 grad_norm: 4.0183 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0321 loss: 1.0321 2022/08/09 04:51:21 - mmengine - INFO - Epoch(train) [36][1320/1879] lr: 2.0000e-03 eta: 4:30:48 time: 0.5831 data_time: 0.0226 memory: 13723 grad_norm: 4.0447 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0173 loss: 1.0173 2022/08/09 04:51:33 - mmengine - INFO - Epoch(train) [36][1340/1879] lr: 2.0000e-03 eta: 4:30:36 time: 0.5905 data_time: 0.0275 memory: 13723 grad_norm: 4.0056 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1013 loss: 1.1013 2022/08/09 04:51:45 - mmengine - INFO - Epoch(train) [36][1360/1879] lr: 2.0000e-03 eta: 4:30:24 time: 0.6152 data_time: 0.0225 memory: 13723 grad_norm: 4.0994 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8855 loss: 0.8855 2022/08/09 04:51:57 - mmengine - INFO - Epoch(train) [36][1380/1879] lr: 2.0000e-03 eta: 4:30:12 time: 0.5898 data_time: 0.0245 memory: 13723 grad_norm: 3.9713 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0279 loss: 1.0279 2022/08/09 04:52:09 - mmengine - INFO - Epoch(train) [36][1400/1879] lr: 2.0000e-03 eta: 4:30:00 time: 0.5971 data_time: 0.0240 memory: 13723 grad_norm: 4.0618 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9719 loss: 0.9719 2022/08/09 04:52:20 - mmengine - INFO - Epoch(train) [36][1420/1879] lr: 2.0000e-03 eta: 4:29:47 time: 0.5747 data_time: 0.0253 memory: 13723 grad_norm: 3.9930 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8393 loss: 0.8393 2022/08/09 04:52:32 - mmengine - INFO - Epoch(train) [36][1440/1879] lr: 2.0000e-03 eta: 4:29:35 time: 0.5767 data_time: 0.0247 memory: 13723 grad_norm: 4.1258 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8524 loss: 0.8524 2022/08/09 04:52:44 - mmengine - INFO - Epoch(train) [36][1460/1879] lr: 2.0000e-03 eta: 4:29:23 time: 0.5813 data_time: 0.0254 memory: 13723 grad_norm: 3.8849 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9705 loss: 0.9705 2022/08/09 04:52:55 - mmengine - INFO - Epoch(train) [36][1480/1879] lr: 2.0000e-03 eta: 4:29:10 time: 0.5792 data_time: 0.0244 memory: 13723 grad_norm: 4.1831 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0393 loss: 1.0393 2022/08/09 04:53:07 - mmengine - INFO - Epoch(train) [36][1500/1879] lr: 2.0000e-03 eta: 4:28:58 time: 0.5753 data_time: 0.0257 memory: 13723 grad_norm: 4.0598 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0184 loss: 1.0184 2022/08/09 04:53:19 - mmengine - INFO - Epoch(train) [36][1520/1879] lr: 2.0000e-03 eta: 4:28:46 time: 0.5982 data_time: 0.0231 memory: 13723 grad_norm: 4.1027 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8310 loss: 0.8310 2022/08/09 04:53:30 - mmengine - INFO - Epoch(train) [36][1540/1879] lr: 2.0000e-03 eta: 4:28:34 time: 0.5864 data_time: 0.0266 memory: 13723 grad_norm: 4.1768 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0462 loss: 1.0462 2022/08/09 04:53:42 - mmengine - INFO - Epoch(train) [36][1560/1879] lr: 2.0000e-03 eta: 4:28:21 time: 0.5734 data_time: 0.0263 memory: 13723 grad_norm: 4.0779 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9894 loss: 0.9894 2022/08/09 04:53:55 - mmengine - INFO - Epoch(train) [36][1580/1879] lr: 2.0000e-03 eta: 4:28:10 time: 0.6622 data_time: 0.1040 memory: 13723 grad_norm: 4.0449 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9410 loss: 0.9410 2022/08/09 04:54:07 - mmengine - INFO - Epoch(train) [36][1600/1879] lr: 2.0000e-03 eta: 4:27:57 time: 0.5748 data_time: 0.0237 memory: 13723 grad_norm: 4.0940 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0187 loss: 1.0187 2022/08/09 04:54:18 - mmengine - INFO - Epoch(train) [36][1620/1879] lr: 2.0000e-03 eta: 4:27:45 time: 0.5739 data_time: 0.0266 memory: 13723 grad_norm: 4.1412 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9164 loss: 0.9164 2022/08/09 04:54:30 - mmengine - INFO - Epoch(train) [36][1640/1879] lr: 2.0000e-03 eta: 4:27:33 time: 0.5831 data_time: 0.0349 memory: 13723 grad_norm: 4.0693 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9640 loss: 0.9640 2022/08/09 04:54:42 - mmengine - INFO - Epoch(train) [36][1660/1879] lr: 2.0000e-03 eta: 4:27:21 time: 0.6082 data_time: 0.0248 memory: 13723 grad_norm: 4.1360 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0620 loss: 1.0620 2022/08/09 04:54:54 - mmengine - INFO - Epoch(train) [36][1680/1879] lr: 2.0000e-03 eta: 4:27:08 time: 0.5832 data_time: 0.0249 memory: 13723 grad_norm: 4.1041 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0804 loss: 1.0804 2022/08/09 04:55:05 - mmengine - INFO - Epoch(train) [36][1700/1879] lr: 2.0000e-03 eta: 4:26:56 time: 0.5758 data_time: 0.0280 memory: 13723 grad_norm: 4.0877 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8473 loss: 0.8473 2022/08/09 04:55:17 - mmengine - INFO - Epoch(train) [36][1720/1879] lr: 2.0000e-03 eta: 4:26:44 time: 0.6037 data_time: 0.0493 memory: 13723 grad_norm: 4.0058 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9729 loss: 0.9729 2022/08/09 04:55:29 - mmengine - INFO - Epoch(train) [36][1740/1879] lr: 2.0000e-03 eta: 4:26:32 time: 0.5828 data_time: 0.0270 memory: 13723 grad_norm: 4.1820 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9348 loss: 0.9348 2022/08/09 04:55:41 - mmengine - INFO - Epoch(train) [36][1760/1879] lr: 2.0000e-03 eta: 4:26:19 time: 0.5860 data_time: 0.0264 memory: 13723 grad_norm: 4.0411 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0270 loss: 1.0270 2022/08/09 04:55:53 - mmengine - INFO - Epoch(train) [36][1780/1879] lr: 2.0000e-03 eta: 4:26:07 time: 0.6029 data_time: 0.0250 memory: 13723 grad_norm: 4.2659 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0966 loss: 1.0966 2022/08/09 04:56:05 - mmengine - INFO - Epoch(train) [36][1800/1879] lr: 2.0000e-03 eta: 4:25:55 time: 0.5954 data_time: 0.0228 memory: 13723 grad_norm: 4.1048 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9565 loss: 0.9565 2022/08/09 04:56:17 - mmengine - INFO - Epoch(train) [36][1820/1879] lr: 2.0000e-03 eta: 4:25:43 time: 0.6275 data_time: 0.0225 memory: 13723 grad_norm: 4.0634 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0313 loss: 1.0313 2022/08/09 04:56:29 - mmengine - INFO - Epoch(train) [36][1840/1879] lr: 2.0000e-03 eta: 4:25:31 time: 0.5721 data_time: 0.0229 memory: 13723 grad_norm: 4.1166 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9248 loss: 0.9248 2022/08/09 04:56:40 - mmengine - INFO - Epoch(train) [36][1860/1879] lr: 2.0000e-03 eta: 4:25:19 time: 0.5768 data_time: 0.0255 memory: 13723 grad_norm: 4.1059 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0064 loss: 1.0064 2022/08/09 04:56:50 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 04:56:50 - mmengine - INFO - Epoch(train) [36][1879/1879] lr: 2.0000e-03 eta: 4:25:19 time: 0.5385 data_time: 0.0195 memory: 13723 grad_norm: 4.1743 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.0244 loss: 1.0244 2022/08/09 04:56:51 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/08/09 04:57:06 - mmengine - INFO - Epoch(val) [36][20/155] eta: 0:01:28 time: 0.6586 data_time: 0.5192 memory: 1829 2022/08/09 04:57:15 - mmengine - INFO - Epoch(val) [36][40/155] eta: 0:00:50 time: 0.4402 data_time: 0.3015 memory: 1829 2022/08/09 04:57:26 - mmengine - INFO - Epoch(val) [36][60/155] eta: 0:00:54 time: 0.5702 data_time: 0.4311 memory: 1829 2022/08/09 04:57:34 - mmengine - INFO - Epoch(val) [36][80/155] eta: 0:00:31 time: 0.4157 data_time: 0.2772 memory: 1829 2022/08/09 04:57:46 - mmengine - INFO - Epoch(val) [36][100/155] eta: 0:00:32 time: 0.5827 data_time: 0.4429 memory: 1829 2022/08/09 04:57:55 - mmengine - INFO - Epoch(val) [36][120/155] eta: 0:00:16 time: 0.4694 data_time: 0.3309 memory: 1829 2022/08/09 04:58:08 - mmengine - INFO - Epoch(val) [36][140/155] eta: 0:00:09 time: 0.6345 data_time: 0.4949 memory: 1829 2022/08/09 04:58:24 - mmengine - INFO - Epoch(val) [36][155/155] acc/top1: 0.7039 acc/top5: 0.8958 acc/mean1: 0.7037 2022/08/09 04:58:44 - mmengine - INFO - Epoch(train) [37][20/1879] lr: 2.0000e-03 eta: 4:24:53 time: 0.9558 data_time: 0.2336 memory: 13723 grad_norm: 3.9748 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0001 loss: 1.0001 2022/08/09 04:58:55 - mmengine - INFO - Epoch(train) [37][40/1879] lr: 2.0000e-03 eta: 4:24:41 time: 0.5671 data_time: 0.0239 memory: 13723 grad_norm: 4.1157 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9581 loss: 0.9581 2022/08/09 04:59:07 - mmengine - INFO - Epoch(train) [37][60/1879] lr: 2.0000e-03 eta: 4:24:29 time: 0.5844 data_time: 0.0235 memory: 13723 grad_norm: 3.9543 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8873 loss: 0.8873 2022/08/09 04:59:18 - mmengine - INFO - Epoch(train) [37][80/1879] lr: 2.0000e-03 eta: 4:24:16 time: 0.5784 data_time: 0.0248 memory: 13723 grad_norm: 4.2265 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9121 loss: 0.9121 2022/08/09 04:59:30 - mmengine - INFO - Epoch(train) [37][100/1879] lr: 2.0000e-03 eta: 4:24:04 time: 0.5955 data_time: 0.0233 memory: 13723 grad_norm: 3.9469 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8485 loss: 0.8485 2022/08/09 04:59:42 - mmengine - INFO - Epoch(train) [37][120/1879] lr: 2.0000e-03 eta: 4:23:52 time: 0.5993 data_time: 0.0439 memory: 13723 grad_norm: 4.0926 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9586 loss: 0.9586 2022/08/09 04:59:54 - mmengine - INFO - Epoch(train) [37][140/1879] lr: 2.0000e-03 eta: 4:23:40 time: 0.5770 data_time: 0.0263 memory: 13723 grad_norm: 4.1033 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9273 loss: 0.9273 2022/08/09 05:00:05 - mmengine - INFO - Epoch(train) [37][160/1879] lr: 2.0000e-03 eta: 4:23:27 time: 0.5786 data_time: 0.0271 memory: 13723 grad_norm: 4.1325 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0832 loss: 1.0832 2022/08/09 05:00:19 - mmengine - INFO - Epoch(train) [37][180/1879] lr: 2.0000e-03 eta: 4:23:16 time: 0.6821 data_time: 0.0804 memory: 13723 grad_norm: 3.9087 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9924 loss: 0.9924 2022/08/09 05:00:31 - mmengine - INFO - Epoch(train) [37][200/1879] lr: 2.0000e-03 eta: 4:23:04 time: 0.6027 data_time: 0.0250 memory: 13723 grad_norm: 3.9874 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9163 loss: 0.9163 2022/08/09 05:00:43 - mmengine - INFO - Epoch(train) [37][220/1879] lr: 2.0000e-03 eta: 4:22:52 time: 0.5877 data_time: 0.0246 memory: 13723 grad_norm: 4.1419 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9783 loss: 0.9783 2022/08/09 05:00:54 - mmengine - INFO - Epoch(train) [37][240/1879] lr: 2.0000e-03 eta: 4:22:39 time: 0.5842 data_time: 0.0246 memory: 13723 grad_norm: 4.0792 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0427 loss: 1.0427 2022/08/09 05:01:06 - mmengine - INFO - Epoch(train) [37][260/1879] lr: 2.0000e-03 eta: 4:22:27 time: 0.5832 data_time: 0.0244 memory: 13723 grad_norm: 4.0722 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0119 loss: 1.0119 2022/08/09 05:01:18 - mmengine - INFO - Epoch(train) [37][280/1879] lr: 2.0000e-03 eta: 4:22:15 time: 0.5752 data_time: 0.0251 memory: 13723 grad_norm: 4.0181 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9323 loss: 0.9323 2022/08/09 05:01:29 - mmengine - INFO - Epoch(train) [37][300/1879] lr: 2.0000e-03 eta: 4:22:02 time: 0.5854 data_time: 0.0253 memory: 13723 grad_norm: 4.0539 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8292 loss: 0.8292 2022/08/09 05:01:42 - mmengine - INFO - Epoch(train) [37][320/1879] lr: 2.0000e-03 eta: 4:21:51 time: 0.6273 data_time: 0.0232 memory: 13723 grad_norm: 3.9018 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9452 loss: 0.9452 2022/08/09 05:01:54 - mmengine - INFO - Epoch(train) [37][340/1879] lr: 2.0000e-03 eta: 4:21:38 time: 0.5929 data_time: 0.0233 memory: 13723 grad_norm: 4.1712 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9025 loss: 0.9025 2022/08/09 05:02:03 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 05:02:05 - mmengine - INFO - Epoch(train) [37][360/1879] lr: 2.0000e-03 eta: 4:21:26 time: 0.5799 data_time: 0.0240 memory: 13723 grad_norm: 4.0889 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1804 loss: 1.1804 2022/08/09 05:02:19 - mmengine - INFO - Epoch(train) [37][380/1879] lr: 2.0000e-03 eta: 4:21:14 time: 0.6571 data_time: 0.0255 memory: 13723 grad_norm: 3.9031 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7465 loss: 0.7465 2022/08/09 05:02:30 - mmengine - INFO - Epoch(train) [37][400/1879] lr: 2.0000e-03 eta: 4:21:02 time: 0.5796 data_time: 0.0217 memory: 13723 grad_norm: 4.1641 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8831 loss: 0.8831 2022/08/09 05:02:42 - mmengine - INFO - Epoch(train) [37][420/1879] lr: 2.0000e-03 eta: 4:20:50 time: 0.5775 data_time: 0.0238 memory: 13723 grad_norm: 3.9577 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8984 loss: 0.8984 2022/08/09 05:02:53 - mmengine - INFO - Epoch(train) [37][440/1879] lr: 2.0000e-03 eta: 4:20:38 time: 0.5811 data_time: 0.0278 memory: 13723 grad_norm: 4.1485 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9077 loss: 0.9077 2022/08/09 05:03:05 - mmengine - INFO - Epoch(train) [37][460/1879] lr: 2.0000e-03 eta: 4:20:25 time: 0.5865 data_time: 0.0259 memory: 13723 grad_norm: 4.1335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9618 loss: 0.9618 2022/08/09 05:03:17 - mmengine - INFO - Epoch(train) [37][480/1879] lr: 2.0000e-03 eta: 4:20:13 time: 0.5845 data_time: 0.0232 memory: 13723 grad_norm: 4.0693 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8652 loss: 0.8652 2022/08/09 05:03:30 - mmengine - INFO - Epoch(train) [37][500/1879] lr: 2.0000e-03 eta: 4:20:01 time: 0.6491 data_time: 0.0243 memory: 13723 grad_norm: 4.0531 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8972 loss: 0.8972 2022/08/09 05:03:44 - mmengine - INFO - Epoch(train) [37][520/1879] lr: 2.0000e-03 eta: 4:19:50 time: 0.6908 data_time: 0.0199 memory: 13723 grad_norm: 4.2097 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9205 loss: 0.9205 2022/08/09 05:03:55 - mmengine - INFO - Epoch(train) [37][540/1879] lr: 2.0000e-03 eta: 4:19:38 time: 0.5856 data_time: 0.0238 memory: 13723 grad_norm: 3.9304 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8658 loss: 0.8658 2022/08/09 05:04:07 - mmengine - INFO - Epoch(train) [37][560/1879] lr: 2.0000e-03 eta: 4:19:25 time: 0.5774 data_time: 0.0252 memory: 13723 grad_norm: 4.0487 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9037 loss: 0.9037 2022/08/09 05:04:20 - mmengine - INFO - Epoch(train) [37][580/1879] lr: 2.0000e-03 eta: 4:19:14 time: 0.6371 data_time: 0.0207 memory: 13723 grad_norm: 4.2237 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9745 loss: 0.9745 2022/08/09 05:04:31 - mmengine - INFO - Epoch(train) [37][600/1879] lr: 2.0000e-03 eta: 4:19:01 time: 0.5759 data_time: 0.0244 memory: 13723 grad_norm: 3.9413 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9969 loss: 0.9969 2022/08/09 05:04:43 - mmengine - INFO - Epoch(train) [37][620/1879] lr: 2.0000e-03 eta: 4:18:49 time: 0.5814 data_time: 0.0252 memory: 13723 grad_norm: 4.1916 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9892 loss: 0.9892 2022/08/09 05:04:55 - mmengine - INFO - Epoch(train) [37][640/1879] lr: 2.0000e-03 eta: 4:18:37 time: 0.5844 data_time: 0.0239 memory: 13723 grad_norm: 4.1126 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0610 loss: 1.0610 2022/08/09 05:05:06 - mmengine - INFO - Epoch(train) [37][660/1879] lr: 2.0000e-03 eta: 4:18:24 time: 0.5808 data_time: 0.0236 memory: 13723 grad_norm: 4.0493 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0329 loss: 1.0329 2022/08/09 05:05:21 - mmengine - INFO - Epoch(train) [37][680/1879] lr: 2.0000e-03 eta: 4:18:13 time: 0.7326 data_time: 0.0258 memory: 13723 grad_norm: 4.1253 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9964 loss: 0.9964 2022/08/09 05:05:34 - mmengine - INFO - Epoch(train) [37][700/1879] lr: 2.0000e-03 eta: 4:18:01 time: 0.6277 data_time: 0.0211 memory: 13723 grad_norm: 3.9543 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8536 loss: 0.8536 2022/08/09 05:05:45 - mmengine - INFO - Epoch(train) [37][720/1879] lr: 2.0000e-03 eta: 4:17:49 time: 0.5884 data_time: 0.0412 memory: 13723 grad_norm: 4.0971 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8948 loss: 0.8948 2022/08/09 05:05:57 - mmengine - INFO - Epoch(train) [37][740/1879] lr: 2.0000e-03 eta: 4:17:37 time: 0.5699 data_time: 0.0240 memory: 13723 grad_norm: 4.0555 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9231 loss: 0.9231 2022/08/09 05:06:08 - mmengine - INFO - Epoch(train) [37][760/1879] lr: 2.0000e-03 eta: 4:17:25 time: 0.5819 data_time: 0.0241 memory: 13723 grad_norm: 4.0814 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9110 loss: 0.9110 2022/08/09 05:06:20 - mmengine - INFO - Epoch(train) [37][780/1879] lr: 2.0000e-03 eta: 4:17:12 time: 0.5850 data_time: 0.0233 memory: 13723 grad_norm: 4.1657 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8269 loss: 0.8269 2022/08/09 05:06:31 - mmengine - INFO - Epoch(train) [37][800/1879] lr: 2.0000e-03 eta: 4:17:00 time: 0.5779 data_time: 0.0221 memory: 13723 grad_norm: 4.0387 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9430 loss: 0.9430 2022/08/09 05:06:43 - mmengine - INFO - Epoch(train) [37][820/1879] lr: 2.0000e-03 eta: 4:16:48 time: 0.5882 data_time: 0.0245 memory: 13723 grad_norm: 4.0569 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0973 loss: 1.0973 2022/08/09 05:06:55 - mmengine - INFO - Epoch(train) [37][840/1879] lr: 2.0000e-03 eta: 4:16:36 time: 0.5793 data_time: 0.0239 memory: 13723 grad_norm: 4.1459 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0645 loss: 1.0645 2022/08/09 05:07:07 - mmengine - INFO - Epoch(train) [37][860/1879] lr: 2.0000e-03 eta: 4:16:24 time: 0.6266 data_time: 0.0220 memory: 13723 grad_norm: 4.1438 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9565 loss: 0.9565 2022/08/09 05:07:19 - mmengine - INFO - Epoch(train) [37][880/1879] lr: 2.0000e-03 eta: 4:16:11 time: 0.5710 data_time: 0.0249 memory: 13723 grad_norm: 3.9803 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7852 loss: 0.7852 2022/08/09 05:07:30 - mmengine - INFO - Epoch(train) [37][900/1879] lr: 2.0000e-03 eta: 4:15:59 time: 0.5717 data_time: 0.0247 memory: 13723 grad_norm: 4.0560 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9798 loss: 0.9798 2022/08/09 05:07:42 - mmengine - INFO - Epoch(train) [37][920/1879] lr: 2.0000e-03 eta: 4:15:47 time: 0.5820 data_time: 0.0255 memory: 13723 grad_norm: 4.1438 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0521 loss: 1.0521 2022/08/09 05:07:54 - mmengine - INFO - Epoch(train) [37][940/1879] lr: 2.0000e-03 eta: 4:15:34 time: 0.5806 data_time: 0.0243 memory: 13723 grad_norm: 4.0941 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8947 loss: 0.8947 2022/08/09 05:08:05 - mmengine - INFO - Epoch(train) [37][960/1879] lr: 2.0000e-03 eta: 4:15:22 time: 0.5822 data_time: 0.0246 memory: 13723 grad_norm: 3.9963 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9943 loss: 0.9943 2022/08/09 05:08:18 - mmengine - INFO - Epoch(train) [37][980/1879] lr: 2.0000e-03 eta: 4:15:10 time: 0.6191 data_time: 0.0232 memory: 13723 grad_norm: 4.1142 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9400 loss: 0.9400 2022/08/09 05:08:29 - mmengine - INFO - Epoch(train) [37][1000/1879] lr: 2.0000e-03 eta: 4:14:58 time: 0.5779 data_time: 0.0235 memory: 13723 grad_norm: 4.1381 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1017 loss: 1.1017 2022/08/09 05:08:42 - mmengine - INFO - Epoch(train) [37][1020/1879] lr: 2.0000e-03 eta: 4:14:46 time: 0.6352 data_time: 0.0219 memory: 13723 grad_norm: 4.1674 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.0704 loss: 1.0704 2022/08/09 05:08:54 - mmengine - INFO - Epoch(train) [37][1040/1879] lr: 2.0000e-03 eta: 4:14:34 time: 0.6039 data_time: 0.0230 memory: 13723 grad_norm: 4.1045 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9514 loss: 0.9514 2022/08/09 05:09:06 - mmengine - INFO - Epoch(train) [37][1060/1879] lr: 2.0000e-03 eta: 4:14:22 time: 0.5935 data_time: 0.0227 memory: 13723 grad_norm: 4.1782 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8483 loss: 0.8483 2022/08/09 05:09:17 - mmengine - INFO - Epoch(train) [37][1080/1879] lr: 2.0000e-03 eta: 4:14:09 time: 0.5814 data_time: 0.0242 memory: 13723 grad_norm: 4.1842 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1411 loss: 1.1411 2022/08/09 05:09:29 - mmengine - INFO - Epoch(train) [37][1100/1879] lr: 2.0000e-03 eta: 4:13:57 time: 0.5734 data_time: 0.0242 memory: 13723 grad_norm: 4.2201 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9733 loss: 0.9733 2022/08/09 05:09:41 - mmengine - INFO - Epoch(train) [37][1120/1879] lr: 2.0000e-03 eta: 4:13:45 time: 0.5832 data_time: 0.0237 memory: 13723 grad_norm: 4.0785 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8334 loss: 0.8334 2022/08/09 05:09:52 - mmengine - INFO - Epoch(train) [37][1140/1879] lr: 2.0000e-03 eta: 4:13:33 time: 0.5814 data_time: 0.0261 memory: 13723 grad_norm: 4.2343 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9852 loss: 0.9852 2022/08/09 05:10:04 - mmengine - INFO - Epoch(train) [37][1160/1879] lr: 2.0000e-03 eta: 4:13:20 time: 0.5813 data_time: 0.0248 memory: 13723 grad_norm: 4.0442 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0673 loss: 1.0673 2022/08/09 05:10:20 - mmengine - INFO - Epoch(train) [37][1180/1879] lr: 2.0000e-03 eta: 4:13:10 time: 0.8196 data_time: 0.1509 memory: 13723 grad_norm: 4.2832 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1771 loss: 1.1771 2022/08/09 05:10:33 - mmengine - INFO - Epoch(train) [37][1200/1879] lr: 2.0000e-03 eta: 4:12:58 time: 0.6359 data_time: 0.0220 memory: 13723 grad_norm: 4.1421 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8606 loss: 0.8606 2022/08/09 05:10:45 - mmengine - INFO - Epoch(train) [37][1220/1879] lr: 2.0000e-03 eta: 4:12:46 time: 0.6033 data_time: 0.0544 memory: 13723 grad_norm: 4.0740 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8689 loss: 0.8689 2022/08/09 05:10:57 - mmengine - INFO - Epoch(train) [37][1240/1879] lr: 2.0000e-03 eta: 4:12:34 time: 0.5730 data_time: 0.0238 memory: 13723 grad_norm: 4.1233 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9886 loss: 0.9886 2022/08/09 05:11:08 - mmengine - INFO - Epoch(train) [37][1260/1879] lr: 2.0000e-03 eta: 4:12:21 time: 0.5792 data_time: 0.0253 memory: 13723 grad_norm: 4.0296 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.8977 loss: 0.8977 2022/08/09 05:11:20 - mmengine - INFO - Epoch(train) [37][1280/1879] lr: 2.0000e-03 eta: 4:12:09 time: 0.5962 data_time: 0.0429 memory: 13723 grad_norm: 4.2472 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1352 loss: 1.1352 2022/08/09 05:11:32 - mmengine - INFO - Epoch(train) [37][1300/1879] lr: 2.0000e-03 eta: 4:11:57 time: 0.5781 data_time: 0.0259 memory: 13723 grad_norm: 4.1262 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0578 loss: 1.0578 2022/08/09 05:11:43 - mmengine - INFO - Epoch(train) [37][1320/1879] lr: 2.0000e-03 eta: 4:11:45 time: 0.5783 data_time: 0.0254 memory: 13723 grad_norm: 4.0294 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9568 loss: 0.9568 2022/08/09 05:11:55 - mmengine - INFO - Epoch(train) [37][1340/1879] lr: 2.0000e-03 eta: 4:11:32 time: 0.5754 data_time: 0.0248 memory: 13723 grad_norm: 4.1591 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0477 loss: 1.0477 2022/08/09 05:12:04 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 05:12:06 - mmengine - INFO - Epoch(train) [37][1360/1879] lr: 2.0000e-03 eta: 4:11:20 time: 0.5736 data_time: 0.0262 memory: 13723 grad_norm: 4.0875 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9786 loss: 0.9786 2022/08/09 05:12:18 - mmengine - INFO - Epoch(train) [37][1380/1879] lr: 2.0000e-03 eta: 4:11:08 time: 0.5751 data_time: 0.0238 memory: 13723 grad_norm: 4.1628 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9388 loss: 0.9388 2022/08/09 05:12:29 - mmengine - INFO - Epoch(train) [37][1400/1879] lr: 2.0000e-03 eta: 4:10:55 time: 0.5800 data_time: 0.0255 memory: 13723 grad_norm: 4.0498 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8228 loss: 0.8228 2022/08/09 05:12:41 - mmengine - INFO - Epoch(train) [37][1420/1879] lr: 2.0000e-03 eta: 4:10:43 time: 0.5858 data_time: 0.0241 memory: 13723 grad_norm: 4.1017 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0642 loss: 1.0642 2022/08/09 05:12:53 - mmengine - INFO - Epoch(train) [37][1440/1879] lr: 2.0000e-03 eta: 4:10:31 time: 0.5772 data_time: 0.0248 memory: 13723 grad_norm: 4.0897 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9207 loss: 0.9207 2022/08/09 05:13:04 - mmengine - INFO - Epoch(train) [37][1460/1879] lr: 2.0000e-03 eta: 4:10:19 time: 0.5778 data_time: 0.0244 memory: 13723 grad_norm: 4.1658 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0028 loss: 1.0028 2022/08/09 05:13:16 - mmengine - INFO - Epoch(train) [37][1480/1879] lr: 2.0000e-03 eta: 4:10:06 time: 0.5814 data_time: 0.0258 memory: 13723 grad_norm: 3.9966 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8654 loss: 0.8654 2022/08/09 05:13:27 - mmengine - INFO - Epoch(train) [37][1500/1879] lr: 2.0000e-03 eta: 4:09:54 time: 0.5778 data_time: 0.0262 memory: 13723 grad_norm: 4.0616 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9258 loss: 0.9258 2022/08/09 05:13:39 - mmengine - INFO - Epoch(train) [37][1520/1879] lr: 2.0000e-03 eta: 4:09:42 time: 0.5755 data_time: 0.0251 memory: 13723 grad_norm: 4.1830 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9908 loss: 0.9908 2022/08/09 05:13:51 - mmengine - INFO - Epoch(train) [37][1540/1879] lr: 2.0000e-03 eta: 4:09:30 time: 0.5865 data_time: 0.0241 memory: 13723 grad_norm: 4.1042 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7451 loss: 0.7451 2022/08/09 05:14:02 - mmengine - INFO - Epoch(train) [37][1560/1879] lr: 2.0000e-03 eta: 4:09:17 time: 0.5747 data_time: 0.0252 memory: 13723 grad_norm: 4.1285 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8004 loss: 0.8004 2022/08/09 05:14:14 - mmengine - INFO - Epoch(train) [37][1580/1879] lr: 2.0000e-03 eta: 4:09:05 time: 0.5801 data_time: 0.0245 memory: 13723 grad_norm: 4.1629 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0181 loss: 1.0181 2022/08/09 05:14:25 - mmengine - INFO - Epoch(train) [37][1600/1879] lr: 2.0000e-03 eta: 4:08:53 time: 0.5730 data_time: 0.0259 memory: 13723 grad_norm: 4.0890 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9280 loss: 0.9280 2022/08/09 05:14:37 - mmengine - INFO - Epoch(train) [37][1620/1879] lr: 2.0000e-03 eta: 4:08:40 time: 0.5801 data_time: 0.0263 memory: 13723 grad_norm: 4.0890 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1680 loss: 1.1680 2022/08/09 05:14:49 - mmengine - INFO - Epoch(train) [37][1640/1879] lr: 2.0000e-03 eta: 4:08:28 time: 0.5816 data_time: 0.0267 memory: 13723 grad_norm: 4.0184 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8569 loss: 0.8569 2022/08/09 05:15:00 - mmengine - INFO - Epoch(train) [37][1660/1879] lr: 2.0000e-03 eta: 4:08:16 time: 0.5822 data_time: 0.0223 memory: 13723 grad_norm: 4.2726 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0119 loss: 1.0119 2022/08/09 05:15:14 - mmengine - INFO - Epoch(train) [37][1680/1879] lr: 2.0000e-03 eta: 4:08:04 time: 0.6883 data_time: 0.0232 memory: 13723 grad_norm: 4.0077 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7518 loss: 0.7518 2022/08/09 05:15:26 - mmengine - INFO - Epoch(train) [37][1700/1879] lr: 2.0000e-03 eta: 4:07:52 time: 0.6189 data_time: 0.0268 memory: 13723 grad_norm: 3.9772 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0088 loss: 1.0088 2022/08/09 05:15:38 - mmengine - INFO - Epoch(train) [37][1720/1879] lr: 2.0000e-03 eta: 4:07:40 time: 0.6054 data_time: 0.0261 memory: 13723 grad_norm: 4.0375 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8670 loss: 0.8670 2022/08/09 05:15:50 - mmengine - INFO - Epoch(train) [37][1740/1879] lr: 2.0000e-03 eta: 4:07:28 time: 0.5810 data_time: 0.0251 memory: 13723 grad_norm: 4.0587 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9756 loss: 0.9756 2022/08/09 05:16:02 - mmengine - INFO - Epoch(train) [37][1760/1879] lr: 2.0000e-03 eta: 4:07:16 time: 0.5923 data_time: 0.0247 memory: 13723 grad_norm: 4.1428 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8484 loss: 0.8484 2022/08/09 05:16:13 - mmengine - INFO - Epoch(train) [37][1780/1879] lr: 2.0000e-03 eta: 4:07:04 time: 0.5708 data_time: 0.0237 memory: 13723 grad_norm: 4.1982 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8723 loss: 0.8723 2022/08/09 05:16:25 - mmengine - INFO - Epoch(train) [37][1800/1879] lr: 2.0000e-03 eta: 4:06:51 time: 0.5791 data_time: 0.0263 memory: 13723 grad_norm: 4.1263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0017 loss: 1.0017 2022/08/09 05:16:37 - mmengine - INFO - Epoch(train) [37][1820/1879] lr: 2.0000e-03 eta: 4:06:39 time: 0.5804 data_time: 0.0279 memory: 13723 grad_norm: 4.2471 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1197 loss: 1.1197 2022/08/09 05:16:48 - mmengine - INFO - Epoch(train) [37][1840/1879] lr: 2.0000e-03 eta: 4:06:27 time: 0.5810 data_time: 0.0257 memory: 13723 grad_norm: 4.0513 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.0263 loss: 1.0263 2022/08/09 05:17:00 - mmengine - INFO - Epoch(train) [37][1860/1879] lr: 2.0000e-03 eta: 4:06:15 time: 0.5750 data_time: 0.0230 memory: 13723 grad_norm: 4.0550 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0193 loss: 1.0193 2022/08/09 05:17:10 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 05:17:10 - mmengine - INFO - Epoch(train) [37][1879/1879] lr: 2.0000e-03 eta: 4:06:15 time: 0.5329 data_time: 0.0185 memory: 13723 grad_norm: 4.2626 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.0462 loss: 1.0462 2022/08/09 05:17:23 - mmengine - INFO - Epoch(val) [37][20/155] eta: 0:01:27 time: 0.6503 data_time: 0.5102 memory: 1829 2022/08/09 05:17:34 - mmengine - INFO - Epoch(val) [37][40/155] eta: 0:01:04 time: 0.5584 data_time: 0.4180 memory: 1829 2022/08/09 05:17:43 - mmengine - INFO - Epoch(val) [37][60/155] eta: 0:00:44 time: 0.4685 data_time: 0.3292 memory: 1829 2022/08/09 05:17:56 - mmengine - INFO - Epoch(val) [37][80/155] eta: 0:00:46 time: 0.6206 data_time: 0.4815 memory: 1829 2022/08/09 05:18:06 - mmengine - INFO - Epoch(val) [37][100/155] eta: 0:00:28 time: 0.5122 data_time: 0.3730 memory: 1829 2022/08/09 05:18:19 - mmengine - INFO - Epoch(val) [37][120/155] eta: 0:00:22 time: 0.6416 data_time: 0.5036 memory: 1829 2022/08/09 05:18:27 - mmengine - INFO - Epoch(val) [37][140/155] eta: 0:00:06 time: 0.4073 data_time: 0.2698 memory: 1829 2022/08/09 05:18:41 - mmengine - INFO - Epoch(val) [37][155/155] acc/top1: 0.7049 acc/top5: 0.8974 acc/mean1: 0.7049 2022/08/09 05:18:58 - mmengine - INFO - Epoch(train) [38][20/1879] lr: 2.0000e-03 eta: 4:05:49 time: 0.8449 data_time: 0.2109 memory: 13723 grad_norm: 4.1260 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8774 loss: 0.8774 2022/08/09 05:19:10 - mmengine - INFO - Epoch(train) [38][40/1879] lr: 2.0000e-03 eta: 4:05:36 time: 0.5915 data_time: 0.0271 memory: 13723 grad_norm: 4.0701 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8299 loss: 0.8299 2022/08/09 05:19:22 - mmengine - INFO - Epoch(train) [38][60/1879] lr: 2.0000e-03 eta: 4:05:24 time: 0.5931 data_time: 0.0241 memory: 13723 grad_norm: 4.0450 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9028 loss: 0.9028 2022/08/09 05:19:33 - mmengine - INFO - Epoch(train) [38][80/1879] lr: 2.0000e-03 eta: 4:05:12 time: 0.5829 data_time: 0.0296 memory: 13723 grad_norm: 3.9808 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9018 loss: 0.9018 2022/08/09 05:19:45 - mmengine - INFO - Epoch(train) [38][100/1879] lr: 2.0000e-03 eta: 4:05:00 time: 0.5797 data_time: 0.0233 memory: 13723 grad_norm: 4.1533 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9498 loss: 0.9498 2022/08/09 05:19:57 - mmengine - INFO - Epoch(train) [38][120/1879] lr: 2.0000e-03 eta: 4:04:48 time: 0.5995 data_time: 0.0544 memory: 13723 grad_norm: 4.0391 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9369 loss: 0.9369 2022/08/09 05:20:09 - mmengine - INFO - Epoch(train) [38][140/1879] lr: 2.0000e-03 eta: 4:04:36 time: 0.5950 data_time: 0.0547 memory: 13723 grad_norm: 4.0769 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0557 loss: 1.0557 2022/08/09 05:20:23 - mmengine - INFO - Epoch(train) [38][160/1879] lr: 2.0000e-03 eta: 4:04:24 time: 0.7163 data_time: 0.1266 memory: 13723 grad_norm: 4.1297 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9636 loss: 0.9636 2022/08/09 05:20:35 - mmengine - INFO - Epoch(train) [38][180/1879] lr: 2.0000e-03 eta: 4:04:12 time: 0.5923 data_time: 0.0312 memory: 13723 grad_norm: 4.0927 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9524 loss: 0.9524 2022/08/09 05:20:47 - mmengine - INFO - Epoch(train) [38][200/1879] lr: 2.0000e-03 eta: 4:04:00 time: 0.5795 data_time: 0.0288 memory: 13723 grad_norm: 4.0411 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0370 loss: 1.0370 2022/08/09 05:20:58 - mmengine - INFO - Epoch(train) [38][220/1879] lr: 2.0000e-03 eta: 4:03:48 time: 0.5871 data_time: 0.0250 memory: 13723 grad_norm: 4.1595 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0641 loss: 1.0641 2022/08/09 05:21:10 - mmengine - INFO - Epoch(train) [38][240/1879] lr: 2.0000e-03 eta: 4:03:35 time: 0.5793 data_time: 0.0271 memory: 13723 grad_norm: 4.0968 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9611 loss: 0.9611 2022/08/09 05:21:21 - mmengine - INFO - Epoch(train) [38][260/1879] lr: 2.0000e-03 eta: 4:03:23 time: 0.5730 data_time: 0.0220 memory: 13723 grad_norm: 4.0754 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8516 loss: 0.8516 2022/08/09 05:21:33 - mmengine - INFO - Epoch(train) [38][280/1879] lr: 2.0000e-03 eta: 4:03:11 time: 0.5803 data_time: 0.0275 memory: 13723 grad_norm: 4.1788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0238 loss: 1.0238 2022/08/09 05:21:45 - mmengine - INFO - Epoch(train) [38][300/1879] lr: 2.0000e-03 eta: 4:02:59 time: 0.5883 data_time: 0.0264 memory: 13723 grad_norm: 4.0917 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9623 loss: 0.9623 2022/08/09 05:21:56 - mmengine - INFO - Epoch(train) [38][320/1879] lr: 2.0000e-03 eta: 4:02:46 time: 0.5756 data_time: 0.0272 memory: 13723 grad_norm: 4.0800 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9732 loss: 0.9732 2022/08/09 05:22:08 - mmengine - INFO - Epoch(train) [38][340/1879] lr: 2.0000e-03 eta: 4:02:34 time: 0.5742 data_time: 0.0248 memory: 13723 grad_norm: 4.1001 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8630 loss: 0.8630 2022/08/09 05:22:19 - mmengine - INFO - Epoch(train) [38][360/1879] lr: 2.0000e-03 eta: 4:02:22 time: 0.5773 data_time: 0.0269 memory: 13723 grad_norm: 4.2433 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9704 loss: 0.9704 2022/08/09 05:22:31 - mmengine - INFO - Epoch(train) [38][380/1879] lr: 2.0000e-03 eta: 4:02:09 time: 0.5791 data_time: 0.0224 memory: 13723 grad_norm: 3.9703 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9654 loss: 0.9654 2022/08/09 05:22:43 - mmengine - INFO - Epoch(train) [38][400/1879] lr: 2.0000e-03 eta: 4:01:57 time: 0.5775 data_time: 0.0284 memory: 13723 grad_norm: 4.1477 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8565 loss: 0.8565 2022/08/09 05:22:54 - mmengine - INFO - Epoch(train) [38][420/1879] lr: 2.0000e-03 eta: 4:01:45 time: 0.5925 data_time: 0.0505 memory: 13723 grad_norm: 4.0764 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9712 loss: 0.9712 2022/08/09 05:23:06 - mmengine - INFO - Epoch(train) [38][440/1879] lr: 2.0000e-03 eta: 4:01:33 time: 0.5725 data_time: 0.0255 memory: 13723 grad_norm: 4.0770 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8845 loss: 0.8845 2022/08/09 05:23:17 - mmengine - INFO - Epoch(train) [38][460/1879] lr: 2.0000e-03 eta: 4:01:20 time: 0.5794 data_time: 0.0266 memory: 13723 grad_norm: 4.1147 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9611 loss: 0.9611 2022/08/09 05:23:27 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 05:23:29 - mmengine - INFO - Epoch(train) [38][480/1879] lr: 2.0000e-03 eta: 4:01:08 time: 0.5895 data_time: 0.0254 memory: 13723 grad_norm: 4.1482 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0085 loss: 1.0085 2022/08/09 05:23:41 - mmengine - INFO - Epoch(train) [38][500/1879] lr: 2.0000e-03 eta: 4:00:56 time: 0.5782 data_time: 0.0235 memory: 13723 grad_norm: 4.0504 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7175 loss: 0.7175 2022/08/09 05:23:52 - mmengine - INFO - Epoch(train) [38][520/1879] lr: 2.0000e-03 eta: 4:00:44 time: 0.5770 data_time: 0.0245 memory: 13723 grad_norm: 4.2005 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0659 loss: 1.0659 2022/08/09 05:24:04 - mmengine - INFO - Epoch(train) [38][540/1879] lr: 2.0000e-03 eta: 4:00:32 time: 0.5839 data_time: 0.0242 memory: 13723 grad_norm: 4.1050 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9660 loss: 0.9660 2022/08/09 05:24:16 - mmengine - INFO - Epoch(train) [38][560/1879] lr: 2.0000e-03 eta: 4:00:19 time: 0.5826 data_time: 0.0284 memory: 13723 grad_norm: 4.1010 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0639 loss: 1.0639 2022/08/09 05:24:27 - mmengine - INFO - Epoch(train) [38][580/1879] lr: 2.0000e-03 eta: 4:00:07 time: 0.5799 data_time: 0.0231 memory: 13723 grad_norm: 4.1670 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9344 loss: 0.9344 2022/08/09 05:24:39 - mmengine - INFO - Epoch(train) [38][600/1879] lr: 2.0000e-03 eta: 3:59:55 time: 0.5829 data_time: 0.0363 memory: 13723 grad_norm: 4.0136 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9072 loss: 0.9072 2022/08/09 05:24:51 - mmengine - INFO - Epoch(train) [38][620/1879] lr: 2.0000e-03 eta: 3:59:43 time: 0.5831 data_time: 0.0249 memory: 13723 grad_norm: 4.1021 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8076 loss: 0.8076 2022/08/09 05:25:02 - mmengine - INFO - Epoch(train) [38][640/1879] lr: 2.0000e-03 eta: 3:59:30 time: 0.5765 data_time: 0.0259 memory: 13723 grad_norm: 4.2587 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1105 loss: 1.1105 2022/08/09 05:25:14 - mmengine - INFO - Epoch(train) [38][660/1879] lr: 2.0000e-03 eta: 3:59:18 time: 0.5992 data_time: 0.0512 memory: 13723 grad_norm: 4.0440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8833 loss: 0.8833 2022/08/09 05:25:26 - mmengine - INFO - Epoch(train) [38][680/1879] lr: 2.0000e-03 eta: 3:59:06 time: 0.5785 data_time: 0.0281 memory: 13723 grad_norm: 4.1080 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8400 loss: 0.8400 2022/08/09 05:25:38 - mmengine - INFO - Epoch(train) [38][700/1879] lr: 2.0000e-03 eta: 3:58:54 time: 0.5906 data_time: 0.0263 memory: 13723 grad_norm: 4.0719 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9261 loss: 0.9261 2022/08/09 05:25:49 - mmengine - INFO - Epoch(train) [38][720/1879] lr: 2.0000e-03 eta: 3:58:42 time: 0.5762 data_time: 0.0255 memory: 13723 grad_norm: 4.0285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9914 loss: 0.9914 2022/08/09 05:26:01 - mmengine - INFO - Epoch(train) [38][740/1879] lr: 2.0000e-03 eta: 3:58:29 time: 0.5766 data_time: 0.0256 memory: 13723 grad_norm: 4.1733 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0347 loss: 1.0347 2022/08/09 05:26:12 - mmengine - INFO - Epoch(train) [38][760/1879] lr: 2.0000e-03 eta: 3:58:17 time: 0.5780 data_time: 0.0295 memory: 13723 grad_norm: 4.2022 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8554 loss: 0.8554 2022/08/09 05:26:24 - mmengine - INFO - Epoch(train) [38][780/1879] lr: 2.0000e-03 eta: 3:58:05 time: 0.5735 data_time: 0.0216 memory: 13723 grad_norm: 4.1525 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 0.9675 loss: 0.9675 2022/08/09 05:26:35 - mmengine - INFO - Epoch(train) [38][800/1879] lr: 2.0000e-03 eta: 3:57:52 time: 0.5840 data_time: 0.0245 memory: 13723 grad_norm: 4.0044 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7905 loss: 0.7905 2022/08/09 05:26:47 - mmengine - INFO - Epoch(train) [38][820/1879] lr: 2.0000e-03 eta: 3:57:40 time: 0.5903 data_time: 0.0283 memory: 13723 grad_norm: 4.1891 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9048 loss: 0.9048 2022/08/09 05:26:59 - mmengine - INFO - Epoch(train) [38][840/1879] lr: 2.0000e-03 eta: 3:57:28 time: 0.5802 data_time: 0.0267 memory: 13723 grad_norm: 4.3342 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0603 loss: 1.0603 2022/08/09 05:27:10 - mmengine - INFO - Epoch(train) [38][860/1879] lr: 2.0000e-03 eta: 3:57:16 time: 0.5704 data_time: 0.0262 memory: 13723 grad_norm: 4.2039 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1091 loss: 1.1091 2022/08/09 05:27:22 - mmengine - INFO - Epoch(train) [38][880/1879] lr: 2.0000e-03 eta: 3:57:04 time: 0.5824 data_time: 0.0272 memory: 13723 grad_norm: 4.2383 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0609 loss: 1.0609 2022/08/09 05:27:33 - mmengine - INFO - Epoch(train) [38][900/1879] lr: 2.0000e-03 eta: 3:56:51 time: 0.5765 data_time: 0.0239 memory: 13723 grad_norm: 4.2196 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9827 loss: 0.9827 2022/08/09 05:27:45 - mmengine - INFO - Epoch(train) [38][920/1879] lr: 2.0000e-03 eta: 3:56:39 time: 0.5763 data_time: 0.0244 memory: 13723 grad_norm: 4.2360 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9433 loss: 0.9433 2022/08/09 05:27:57 - mmengine - INFO - Epoch(train) [38][940/1879] lr: 2.0000e-03 eta: 3:56:27 time: 0.5876 data_time: 0.0240 memory: 13723 grad_norm: 4.2417 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0409 loss: 1.0409 2022/08/09 05:28:08 - mmengine - INFO - Epoch(train) [38][960/1879] lr: 2.0000e-03 eta: 3:56:15 time: 0.5786 data_time: 0.0291 memory: 13723 grad_norm: 4.0041 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8671 loss: 0.8671 2022/08/09 05:28:20 - mmengine - INFO - Epoch(train) [38][980/1879] lr: 2.0000e-03 eta: 3:56:02 time: 0.5756 data_time: 0.0242 memory: 13723 grad_norm: 4.2186 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9189 loss: 0.9189 2022/08/09 05:28:32 - mmengine - INFO - Epoch(train) [38][1000/1879] lr: 2.0000e-03 eta: 3:55:50 time: 0.6004 data_time: 0.0241 memory: 13723 grad_norm: 4.1560 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0274 loss: 1.0274 2022/08/09 05:28:43 - mmengine - INFO - Epoch(train) [38][1020/1879] lr: 2.0000e-03 eta: 3:55:38 time: 0.5736 data_time: 0.0243 memory: 13723 grad_norm: 4.1227 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9340 loss: 0.9340 2022/08/09 05:28:56 - mmengine - INFO - Epoch(train) [38][1040/1879] lr: 2.0000e-03 eta: 3:55:26 time: 0.6473 data_time: 0.0252 memory: 13723 grad_norm: 4.2268 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9266 loss: 0.9266 2022/08/09 05:29:08 - mmengine - INFO - Epoch(train) [38][1060/1879] lr: 2.0000e-03 eta: 3:55:14 time: 0.5927 data_time: 0.0311 memory: 13723 grad_norm: 4.1370 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9525 loss: 0.9525 2022/08/09 05:29:20 - mmengine - INFO - Epoch(train) [38][1080/1879] lr: 2.0000e-03 eta: 3:55:02 time: 0.5757 data_time: 0.0234 memory: 13723 grad_norm: 4.1659 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9375 loss: 0.9375 2022/08/09 05:29:31 - mmengine - INFO - Epoch(train) [38][1100/1879] lr: 2.0000e-03 eta: 3:54:49 time: 0.5789 data_time: 0.0242 memory: 13723 grad_norm: 4.1411 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0386 loss: 1.0386 2022/08/09 05:29:44 - mmengine - INFO - Epoch(train) [38][1120/1879] lr: 2.0000e-03 eta: 3:54:38 time: 0.6394 data_time: 0.0253 memory: 13723 grad_norm: 4.2203 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9815 loss: 0.9815 2022/08/09 05:29:56 - mmengine - INFO - Epoch(train) [38][1140/1879] lr: 2.0000e-03 eta: 3:54:25 time: 0.5871 data_time: 0.0243 memory: 13723 grad_norm: 4.3214 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0155 loss: 1.0155 2022/08/09 05:30:09 - mmengine - INFO - Epoch(train) [38][1160/1879] lr: 2.0000e-03 eta: 3:54:14 time: 0.6740 data_time: 0.0204 memory: 13723 grad_norm: 4.0369 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8540 loss: 0.8540 2022/08/09 05:30:27 - mmengine - INFO - Epoch(train) [38][1180/1879] lr: 2.0000e-03 eta: 3:54:03 time: 0.8633 data_time: 0.0295 memory: 13723 grad_norm: 4.0354 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8986 loss: 0.8986 2022/08/09 05:30:39 - mmengine - INFO - Epoch(train) [38][1200/1879] lr: 2.0000e-03 eta: 3:53:51 time: 0.6078 data_time: 0.0221 memory: 13723 grad_norm: 4.1970 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9637 loss: 0.9637 2022/08/09 05:30:51 - mmengine - INFO - Epoch(train) [38][1220/1879] lr: 2.0000e-03 eta: 3:53:39 time: 0.5860 data_time: 0.0257 memory: 13723 grad_norm: 4.1516 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8941 loss: 0.8941 2022/08/09 05:31:02 - mmengine - INFO - Epoch(train) [38][1240/1879] lr: 2.0000e-03 eta: 3:53:27 time: 0.5915 data_time: 0.0224 memory: 13723 grad_norm: 4.1746 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9874 loss: 0.9874 2022/08/09 05:31:14 - mmengine - INFO - Epoch(train) [38][1260/1879] lr: 2.0000e-03 eta: 3:53:15 time: 0.5882 data_time: 0.0255 memory: 13723 grad_norm: 4.2814 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9708 loss: 0.9708 2022/08/09 05:31:26 - mmengine - INFO - Epoch(train) [38][1280/1879] lr: 2.0000e-03 eta: 3:53:03 time: 0.5778 data_time: 0.0240 memory: 13723 grad_norm: 4.0993 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9569 loss: 0.9569 2022/08/09 05:31:38 - mmengine - INFO - Epoch(train) [38][1300/1879] lr: 2.0000e-03 eta: 3:52:50 time: 0.6046 data_time: 0.0256 memory: 13723 grad_norm: 4.0091 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9573 loss: 0.9573 2022/08/09 05:31:50 - mmengine - INFO - Epoch(train) [38][1320/1879] lr: 2.0000e-03 eta: 3:52:39 time: 0.6301 data_time: 0.0213 memory: 13723 grad_norm: 4.1580 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8212 loss: 0.8212 2022/08/09 05:32:04 - mmengine - INFO - Epoch(train) [38][1340/1879] lr: 2.0000e-03 eta: 3:52:27 time: 0.6553 data_time: 0.0242 memory: 13723 grad_norm: 4.2330 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8445 loss: 0.8445 2022/08/09 05:32:15 - mmengine - INFO - Epoch(train) [38][1360/1879] lr: 2.0000e-03 eta: 3:52:15 time: 0.5775 data_time: 0.0202 memory: 13723 grad_norm: 4.1600 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9113 loss: 0.9113 2022/08/09 05:32:27 - mmengine - INFO - Epoch(train) [38][1380/1879] lr: 2.0000e-03 eta: 3:52:02 time: 0.5718 data_time: 0.0246 memory: 13723 grad_norm: 4.1135 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9040 loss: 0.9040 2022/08/09 05:32:38 - mmengine - INFO - Epoch(train) [38][1400/1879] lr: 2.0000e-03 eta: 3:51:50 time: 0.5742 data_time: 0.0284 memory: 13723 grad_norm: 4.1227 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0079 loss: 1.0079 2022/08/09 05:32:50 - mmengine - INFO - Epoch(train) [38][1420/1879] lr: 2.0000e-03 eta: 3:51:38 time: 0.5858 data_time: 0.0247 memory: 13723 grad_norm: 4.1370 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0242 loss: 1.0242 2022/08/09 05:33:01 - mmengine - INFO - Epoch(train) [38][1440/1879] lr: 2.0000e-03 eta: 3:51:26 time: 0.5845 data_time: 0.0232 memory: 13723 grad_norm: 4.2076 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9001 loss: 0.9001 2022/08/09 05:33:13 - mmengine - INFO - Epoch(train) [38][1460/1879] lr: 2.0000e-03 eta: 3:51:13 time: 0.5782 data_time: 0.0259 memory: 13723 grad_norm: 4.2209 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9011 loss: 0.9011 2022/08/09 05:33:23 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 05:33:25 - mmengine - INFO - Epoch(train) [38][1480/1879] lr: 2.0000e-03 eta: 3:51:01 time: 0.5852 data_time: 0.0238 memory: 13723 grad_norm: 4.0923 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9866 loss: 0.9866 2022/08/09 05:33:36 - mmengine - INFO - Epoch(train) [38][1500/1879] lr: 2.0000e-03 eta: 3:50:49 time: 0.5762 data_time: 0.0250 memory: 13723 grad_norm: 4.2175 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8780 loss: 0.8780 2022/08/09 05:33:48 - mmengine - INFO - Epoch(train) [38][1520/1879] lr: 2.0000e-03 eta: 3:50:37 time: 0.5781 data_time: 0.0262 memory: 13723 grad_norm: 4.1746 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0241 loss: 1.0241 2022/08/09 05:33:59 - mmengine - INFO - Epoch(train) [38][1540/1879] lr: 2.0000e-03 eta: 3:50:24 time: 0.5789 data_time: 0.0245 memory: 13723 grad_norm: 4.1705 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8727 loss: 0.8727 2022/08/09 05:34:11 - mmengine - INFO - Epoch(train) [38][1560/1879] lr: 2.0000e-03 eta: 3:50:12 time: 0.5848 data_time: 0.0239 memory: 13723 grad_norm: 4.1637 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9997 loss: 0.9997 2022/08/09 05:34:23 - mmengine - INFO - Epoch(train) [38][1580/1879] lr: 2.0000e-03 eta: 3:50:00 time: 0.5775 data_time: 0.0254 memory: 13723 grad_norm: 4.1054 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8867 loss: 0.8867 2022/08/09 05:34:34 - mmengine - INFO - Epoch(train) [38][1600/1879] lr: 2.0000e-03 eta: 3:49:48 time: 0.5682 data_time: 0.0237 memory: 13723 grad_norm: 4.1993 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8815 loss: 0.8815 2022/08/09 05:34:46 - mmengine - INFO - Epoch(train) [38][1620/1879] lr: 2.0000e-03 eta: 3:49:35 time: 0.5890 data_time: 0.0246 memory: 13723 grad_norm: 4.1461 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8053 loss: 0.8053 2022/08/09 05:34:58 - mmengine - INFO - Epoch(train) [38][1640/1879] lr: 2.0000e-03 eta: 3:49:23 time: 0.5880 data_time: 0.0245 memory: 13723 grad_norm: 4.0997 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8510 loss: 0.8510 2022/08/09 05:35:09 - mmengine - INFO - Epoch(train) [38][1660/1879] lr: 2.0000e-03 eta: 3:49:11 time: 0.5768 data_time: 0.0234 memory: 13723 grad_norm: 4.1534 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8510 loss: 0.8510 2022/08/09 05:35:21 - mmengine - INFO - Epoch(train) [38][1680/1879] lr: 2.0000e-03 eta: 3:48:59 time: 0.6102 data_time: 0.0254 memory: 13723 grad_norm: 4.1206 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9591 loss: 0.9591 2022/08/09 05:35:34 - mmengine - INFO - Epoch(train) [38][1700/1879] lr: 2.0000e-03 eta: 3:48:47 time: 0.6208 data_time: 0.0255 memory: 13723 grad_norm: 4.2250 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1988 loss: 1.1988 2022/08/09 05:35:46 - mmengine - INFO - Epoch(train) [38][1720/1879] lr: 2.0000e-03 eta: 3:48:35 time: 0.5904 data_time: 0.0230 memory: 13723 grad_norm: 4.2800 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0198 loss: 1.0198 2022/08/09 05:35:57 - mmengine - INFO - Epoch(train) [38][1740/1879] lr: 2.0000e-03 eta: 3:48:23 time: 0.5803 data_time: 0.0254 memory: 13723 grad_norm: 4.1190 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9826 loss: 0.9826 2022/08/09 05:36:09 - mmengine - INFO - Epoch(train) [38][1760/1879] lr: 2.0000e-03 eta: 3:48:10 time: 0.5712 data_time: 0.0244 memory: 13723 grad_norm: 4.2432 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0791 loss: 1.0791 2022/08/09 05:36:21 - mmengine - INFO - Epoch(train) [38][1780/1879] lr: 2.0000e-03 eta: 3:47:58 time: 0.5971 data_time: 0.0235 memory: 13723 grad_norm: 4.1491 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7898 loss: 0.7898 2022/08/09 05:36:32 - mmengine - INFO - Epoch(train) [38][1800/1879] lr: 2.0000e-03 eta: 3:47:46 time: 0.5792 data_time: 0.0244 memory: 13723 grad_norm: 4.2332 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0366 loss: 1.0366 2022/08/09 05:36:44 - mmengine - INFO - Epoch(train) [38][1820/1879] lr: 2.0000e-03 eta: 3:47:34 time: 0.5833 data_time: 0.0230 memory: 13723 grad_norm: 4.2837 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9594 loss: 0.9594 2022/08/09 05:36:56 - mmengine - INFO - Epoch(train) [38][1840/1879] lr: 2.0000e-03 eta: 3:47:22 time: 0.5879 data_time: 0.0300 memory: 13723 grad_norm: 4.0846 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8961 loss: 0.8961 2022/08/09 05:37:07 - mmengine - INFO - Epoch(train) [38][1860/1879] lr: 2.0000e-03 eta: 3:47:09 time: 0.5764 data_time: 0.0256 memory: 13723 grad_norm: 4.2358 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9893 loss: 0.9893 2022/08/09 05:37:17 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 05:37:17 - mmengine - INFO - Epoch(train) [38][1879/1879] lr: 2.0000e-03 eta: 3:47:09 time: 0.5362 data_time: 0.0160 memory: 13723 grad_norm: 4.1708 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.9820 loss: 0.9820 2022/08/09 05:37:31 - mmengine - INFO - Epoch(val) [38][20/155] eta: 0:01:31 time: 0.6794 data_time: 0.5391 memory: 1829 2022/08/09 05:37:40 - mmengine - INFO - Epoch(val) [38][40/155] eta: 0:00:51 time: 0.4473 data_time: 0.3084 memory: 1829 2022/08/09 05:37:52 - mmengine - INFO - Epoch(val) [38][60/155] eta: 0:00:56 time: 0.5939 data_time: 0.4547 memory: 1829 2022/08/09 05:38:01 - mmengine - INFO - Epoch(val) [38][80/155] eta: 0:00:36 time: 0.4802 data_time: 0.3385 memory: 1829 2022/08/09 05:38:13 - mmengine - INFO - Epoch(val) [38][100/155] eta: 0:00:31 time: 0.5672 data_time: 0.4281 memory: 1829 2022/08/09 05:38:22 - mmengine - INFO - Epoch(val) [38][120/155] eta: 0:00:16 time: 0.4768 data_time: 0.3369 memory: 1829 2022/08/09 05:38:35 - mmengine - INFO - Epoch(val) [38][140/155] eta: 0:00:09 time: 0.6486 data_time: 0.5092 memory: 1829 2022/08/09 05:38:50 - mmengine - INFO - Epoch(val) [38][155/155] acc/top1: 0.7076 acc/top5: 0.8982 acc/mean1: 0.7075 2022/08/09 05:38:51 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_36.pth is removed 2022/08/09 05:38:52 - mmengine - INFO - The best checkpoint with 0.7076 acc/top1 at 39 epoch is saved to best_acc/top1_epoch_39.pth. 2022/08/09 05:39:08 - mmengine - INFO - Epoch(train) [39][20/1879] lr: 2.0000e-03 eta: 3:46:44 time: 0.8262 data_time: 0.2079 memory: 13723 grad_norm: 4.0587 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7891 loss: 0.7891 2022/08/09 05:39:20 - mmengine - INFO - Epoch(train) [39][40/1879] lr: 2.0000e-03 eta: 3:46:31 time: 0.5773 data_time: 0.0220 memory: 13723 grad_norm: 4.0519 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9451 loss: 0.9451 2022/08/09 05:39:32 - mmengine - INFO - Epoch(train) [39][60/1879] lr: 2.0000e-03 eta: 3:46:19 time: 0.5849 data_time: 0.0251 memory: 13723 grad_norm: 4.1456 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9571 loss: 0.9571 2022/08/09 05:39:43 - mmengine - INFO - Epoch(train) [39][80/1879] lr: 2.0000e-03 eta: 3:46:07 time: 0.5828 data_time: 0.0250 memory: 13723 grad_norm: 4.0530 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0050 loss: 1.0050 2022/08/09 05:39:55 - mmengine - INFO - Epoch(train) [39][100/1879] lr: 2.0000e-03 eta: 3:45:55 time: 0.5846 data_time: 0.0232 memory: 13723 grad_norm: 4.0804 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9183 loss: 0.9183 2022/08/09 05:40:09 - mmengine - INFO - Epoch(train) [39][120/1879] lr: 2.0000e-03 eta: 3:45:43 time: 0.6912 data_time: 0.0213 memory: 13723 grad_norm: 4.1456 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7555 loss: 0.7555 2022/08/09 05:40:22 - mmengine - INFO - Epoch(train) [39][140/1879] lr: 2.0000e-03 eta: 3:45:31 time: 0.6660 data_time: 0.0261 memory: 13723 grad_norm: 4.1296 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 0.9620 loss: 0.9620 2022/08/09 05:40:34 - mmengine - INFO - Epoch(train) [39][160/1879] lr: 2.0000e-03 eta: 3:45:19 time: 0.5863 data_time: 0.0270 memory: 13723 grad_norm: 4.1534 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9154 loss: 0.9154 2022/08/09 05:40:49 - mmengine - INFO - Epoch(train) [39][180/1879] lr: 2.0000e-03 eta: 3:45:08 time: 0.7271 data_time: 0.0241 memory: 13723 grad_norm: 4.0829 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0792 loss: 1.0792 2022/08/09 05:41:00 - mmengine - INFO - Epoch(train) [39][200/1879] lr: 2.0000e-03 eta: 3:44:56 time: 0.5854 data_time: 0.0208 memory: 13723 grad_norm: 4.1823 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9684 loss: 0.9684 2022/08/09 05:41:12 - mmengine - INFO - Epoch(train) [39][220/1879] lr: 2.0000e-03 eta: 3:44:44 time: 0.5773 data_time: 0.0237 memory: 13723 grad_norm: 4.1812 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9243 loss: 0.9243 2022/08/09 05:41:23 - mmengine - INFO - Epoch(train) [39][240/1879] lr: 2.0000e-03 eta: 3:44:31 time: 0.5799 data_time: 0.0267 memory: 13723 grad_norm: 4.2275 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0287 loss: 1.0287 2022/08/09 05:41:35 - mmengine - INFO - Epoch(train) [39][260/1879] lr: 2.0000e-03 eta: 3:44:19 time: 0.5938 data_time: 0.0249 memory: 13723 grad_norm: 4.1806 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0227 loss: 1.0227 2022/08/09 05:41:47 - mmengine - INFO - Epoch(train) [39][280/1879] lr: 2.0000e-03 eta: 3:44:07 time: 0.5896 data_time: 0.0251 memory: 13723 grad_norm: 4.1759 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0266 loss: 1.0266 2022/08/09 05:41:59 - mmengine - INFO - Epoch(train) [39][300/1879] lr: 2.0000e-03 eta: 3:43:55 time: 0.5866 data_time: 0.0246 memory: 13723 grad_norm: 4.1739 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9925 loss: 0.9925 2022/08/09 05:42:11 - mmengine - INFO - Epoch(train) [39][320/1879] lr: 2.0000e-03 eta: 3:43:43 time: 0.5961 data_time: 0.0240 memory: 13723 grad_norm: 3.9988 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8761 loss: 0.8761 2022/08/09 05:42:22 - mmengine - INFO - Epoch(train) [39][340/1879] lr: 2.0000e-03 eta: 3:43:30 time: 0.5752 data_time: 0.0232 memory: 13723 grad_norm: 4.1325 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8563 loss: 0.8563 2022/08/09 05:42:35 - mmengine - INFO - Epoch(train) [39][360/1879] lr: 2.0000e-03 eta: 3:43:19 time: 0.6428 data_time: 0.0232 memory: 13723 grad_norm: 4.0863 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8664 loss: 0.8664 2022/08/09 05:42:47 - mmengine - INFO - Epoch(train) [39][380/1879] lr: 2.0000e-03 eta: 3:43:06 time: 0.5723 data_time: 0.0239 memory: 13723 grad_norm: 4.1271 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9004 loss: 0.9004 2022/08/09 05:42:58 - mmengine - INFO - Epoch(train) [39][400/1879] lr: 2.0000e-03 eta: 3:42:54 time: 0.5744 data_time: 0.0242 memory: 13723 grad_norm: 4.0687 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8220 loss: 0.8220 2022/08/09 05:43:10 - mmengine - INFO - Epoch(train) [39][420/1879] lr: 2.0000e-03 eta: 3:42:42 time: 0.5754 data_time: 0.0239 memory: 13723 grad_norm: 4.2934 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8191 loss: 0.8191 2022/08/09 05:43:21 - mmengine - INFO - Epoch(train) [39][440/1879] lr: 2.0000e-03 eta: 3:42:30 time: 0.5730 data_time: 0.0251 memory: 13723 grad_norm: 4.2133 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0017 loss: 1.0017 2022/08/09 05:43:33 - mmengine - INFO - Epoch(train) [39][460/1879] lr: 2.0000e-03 eta: 3:42:17 time: 0.5748 data_time: 0.0270 memory: 13723 grad_norm: 4.1668 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9140 loss: 0.9140 2022/08/09 05:43:44 - mmengine - INFO - Epoch(train) [39][480/1879] lr: 2.0000e-03 eta: 3:42:05 time: 0.5853 data_time: 0.0235 memory: 13723 grad_norm: 4.1194 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9031 loss: 0.9031 2022/08/09 05:43:56 - mmengine - INFO - Epoch(train) [39][500/1879] lr: 2.0000e-03 eta: 3:41:53 time: 0.5761 data_time: 0.0249 memory: 13723 grad_norm: 4.1735 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0832 loss: 1.0832 2022/08/09 05:44:07 - mmengine - INFO - Epoch(train) [39][520/1879] lr: 2.0000e-03 eta: 3:41:41 time: 0.5820 data_time: 0.0245 memory: 13723 grad_norm: 4.0925 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8007 loss: 0.8007 2022/08/09 05:44:20 - mmengine - INFO - Epoch(train) [39][540/1879] lr: 2.0000e-03 eta: 3:41:29 time: 0.6131 data_time: 0.0597 memory: 13723 grad_norm: 4.1533 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8172 loss: 0.8172 2022/08/09 05:44:31 - mmengine - INFO - Epoch(train) [39][560/1879] lr: 2.0000e-03 eta: 3:41:16 time: 0.5697 data_time: 0.0227 memory: 13723 grad_norm: 4.2099 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8250 loss: 0.8250 2022/08/09 05:44:43 - mmengine - INFO - Epoch(train) [39][580/1879] lr: 2.0000e-03 eta: 3:41:04 time: 0.5750 data_time: 0.0249 memory: 13723 grad_norm: 4.1442 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7989 loss: 0.7989 2022/08/09 05:44:53 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 05:44:54 - mmengine - INFO - Epoch(train) [39][600/1879] lr: 2.0000e-03 eta: 3:40:52 time: 0.5875 data_time: 0.0275 memory: 13723 grad_norm: 4.2193 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0583 loss: 1.0583 2022/08/09 05:45:06 - mmengine - INFO - Epoch(train) [39][620/1879] lr: 2.0000e-03 eta: 3:40:40 time: 0.5758 data_time: 0.0190 memory: 13723 grad_norm: 4.1084 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7579 loss: 0.7579 2022/08/09 05:45:21 - mmengine - INFO - Epoch(train) [39][640/1879] lr: 2.0000e-03 eta: 3:40:28 time: 0.7559 data_time: 0.0252 memory: 13723 grad_norm: 4.2094 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9688 loss: 0.9688 2022/08/09 05:45:33 - mmengine - INFO - Epoch(train) [39][660/1879] lr: 2.0000e-03 eta: 3:40:16 time: 0.6154 data_time: 0.0460 memory: 13723 grad_norm: 4.2464 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0881 loss: 1.0881 2022/08/09 05:45:45 - mmengine - INFO - Epoch(train) [39][680/1879] lr: 2.0000e-03 eta: 3:40:04 time: 0.5857 data_time: 0.0228 memory: 13723 grad_norm: 4.0629 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7584 loss: 0.7584 2022/08/09 05:45:57 - mmengine - INFO - Epoch(train) [39][700/1879] lr: 2.0000e-03 eta: 3:39:52 time: 0.5887 data_time: 0.0236 memory: 13723 grad_norm: 4.2255 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9486 loss: 0.9486 2022/08/09 05:46:09 - mmengine - INFO - Epoch(train) [39][720/1879] lr: 2.0000e-03 eta: 3:39:40 time: 0.5796 data_time: 0.0255 memory: 13723 grad_norm: 4.2239 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9435 loss: 0.9435 2022/08/09 05:46:20 - mmengine - INFO - Epoch(train) [39][740/1879] lr: 2.0000e-03 eta: 3:39:28 time: 0.5706 data_time: 0.0252 memory: 13723 grad_norm: 4.2977 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0461 loss: 1.0461 2022/08/09 05:46:31 - mmengine - INFO - Epoch(train) [39][760/1879] lr: 2.0000e-03 eta: 3:39:15 time: 0.5774 data_time: 0.0261 memory: 13723 grad_norm: 4.1588 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7987 loss: 0.7987 2022/08/09 05:46:43 - mmengine - INFO - Epoch(train) [39][780/1879] lr: 2.0000e-03 eta: 3:39:03 time: 0.5760 data_time: 0.0247 memory: 13723 grad_norm: 4.2158 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0625 loss: 1.0625 2022/08/09 05:46:55 - mmengine - INFO - Epoch(train) [39][800/1879] lr: 2.0000e-03 eta: 3:38:51 time: 0.5758 data_time: 0.0260 memory: 13723 grad_norm: 4.2304 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9560 loss: 0.9560 2022/08/09 05:47:06 - mmengine - INFO - Epoch(train) [39][820/1879] lr: 2.0000e-03 eta: 3:38:39 time: 0.5839 data_time: 0.0238 memory: 13723 grad_norm: 4.2052 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8820 loss: 0.8820 2022/08/09 05:47:18 - mmengine - INFO - Epoch(train) [39][840/1879] lr: 2.0000e-03 eta: 3:38:27 time: 0.5990 data_time: 0.0231 memory: 13723 grad_norm: 4.2583 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9856 loss: 0.9856 2022/08/09 05:47:30 - mmengine - INFO - Epoch(train) [39][860/1879] lr: 2.0000e-03 eta: 3:38:14 time: 0.5734 data_time: 0.0247 memory: 13723 grad_norm: 4.1159 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8198 loss: 0.8198 2022/08/09 05:47:41 - mmengine - INFO - Epoch(train) [39][880/1879] lr: 2.0000e-03 eta: 3:38:02 time: 0.5742 data_time: 0.0247 memory: 13723 grad_norm: 4.1770 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1068 loss: 1.1068 2022/08/09 05:47:53 - mmengine - INFO - Epoch(train) [39][900/1879] lr: 2.0000e-03 eta: 3:37:50 time: 0.5731 data_time: 0.0254 memory: 13723 grad_norm: 4.1517 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9855 loss: 0.9855 2022/08/09 05:48:04 - mmengine - INFO - Epoch(train) [39][920/1879] lr: 2.0000e-03 eta: 3:37:38 time: 0.5840 data_time: 0.0245 memory: 13723 grad_norm: 4.2075 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8935 loss: 0.8935 2022/08/09 05:48:16 - mmengine - INFO - Epoch(train) [39][940/1879] lr: 2.0000e-03 eta: 3:37:25 time: 0.5823 data_time: 0.0255 memory: 13723 grad_norm: 4.1642 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9536 loss: 0.9536 2022/08/09 05:48:27 - mmengine - INFO - Epoch(train) [39][960/1879] lr: 2.0000e-03 eta: 3:37:13 time: 0.5709 data_time: 0.0249 memory: 13723 grad_norm: 4.1368 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0092 loss: 1.0092 2022/08/09 05:48:39 - mmengine - INFO - Epoch(train) [39][980/1879] lr: 2.0000e-03 eta: 3:37:01 time: 0.5787 data_time: 0.0275 memory: 13723 grad_norm: 4.1518 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8406 loss: 0.8406 2022/08/09 05:48:51 - mmengine - INFO - Epoch(train) [39][1000/1879] lr: 2.0000e-03 eta: 3:36:49 time: 0.5812 data_time: 0.0285 memory: 13723 grad_norm: 4.4382 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9508 loss: 0.9508 2022/08/09 05:49:02 - mmengine - INFO - Epoch(train) [39][1020/1879] lr: 2.0000e-03 eta: 3:36:37 time: 0.5907 data_time: 0.0228 memory: 13723 grad_norm: 4.2409 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9300 loss: 0.9300 2022/08/09 05:49:14 - mmengine - INFO - Epoch(train) [39][1040/1879] lr: 2.0000e-03 eta: 3:36:24 time: 0.5799 data_time: 0.0259 memory: 13723 grad_norm: 4.2615 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0583 loss: 1.0583 2022/08/09 05:49:26 - mmengine - INFO - Epoch(train) [39][1060/1879] lr: 2.0000e-03 eta: 3:36:12 time: 0.5701 data_time: 0.0256 memory: 13723 grad_norm: 4.1771 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9949 loss: 0.9949 2022/08/09 05:49:37 - mmengine - INFO - Epoch(train) [39][1080/1879] lr: 2.0000e-03 eta: 3:36:00 time: 0.5708 data_time: 0.0247 memory: 13723 grad_norm: 4.0700 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9411 loss: 0.9411 2022/08/09 05:49:48 - mmengine - INFO - Epoch(train) [39][1100/1879] lr: 2.0000e-03 eta: 3:35:48 time: 0.5718 data_time: 0.0252 memory: 13723 grad_norm: 4.2243 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8935 loss: 0.8935 2022/08/09 05:50:00 - mmengine - INFO - Epoch(train) [39][1120/1879] lr: 2.0000e-03 eta: 3:35:35 time: 0.5723 data_time: 0.0262 memory: 13723 grad_norm: 4.1854 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9123 loss: 0.9123 2022/08/09 05:50:12 - mmengine - INFO - Epoch(train) [39][1140/1879] lr: 2.0000e-03 eta: 3:35:23 time: 0.5910 data_time: 0.0234 memory: 13723 grad_norm: 4.4722 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9454 loss: 0.9454 2022/08/09 05:50:24 - mmengine - INFO - Epoch(train) [39][1160/1879] lr: 2.0000e-03 eta: 3:35:11 time: 0.6382 data_time: 0.0335 memory: 13723 grad_norm: 4.2769 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8946 loss: 0.8946 2022/08/09 05:50:37 - mmengine - INFO - Epoch(train) [39][1180/1879] lr: 2.0000e-03 eta: 3:34:59 time: 0.6177 data_time: 0.0241 memory: 13723 grad_norm: 4.1562 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0434 loss: 1.0434 2022/08/09 05:50:49 - mmengine - INFO - Epoch(train) [39][1200/1879] lr: 2.0000e-03 eta: 3:34:47 time: 0.5943 data_time: 0.0262 memory: 13723 grad_norm: 4.2891 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8553 loss: 0.8553 2022/08/09 05:51:00 - mmengine - INFO - Epoch(train) [39][1220/1879] lr: 2.0000e-03 eta: 3:34:35 time: 0.5770 data_time: 0.0251 memory: 13723 grad_norm: 4.2020 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9666 loss: 0.9666 2022/08/09 05:51:12 - mmengine - INFO - Epoch(train) [39][1240/1879] lr: 2.0000e-03 eta: 3:34:23 time: 0.5891 data_time: 0.0234 memory: 13723 grad_norm: 4.1411 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9391 loss: 0.9391 2022/08/09 05:51:24 - mmengine - INFO - Epoch(train) [39][1260/1879] lr: 2.0000e-03 eta: 3:34:11 time: 0.5727 data_time: 0.0282 memory: 13723 grad_norm: 4.1334 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9004 loss: 0.9004 2022/08/09 05:51:35 - mmengine - INFO - Epoch(train) [39][1280/1879] lr: 2.0000e-03 eta: 3:33:58 time: 0.5737 data_time: 0.0248 memory: 13723 grad_norm: 4.1850 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8645 loss: 0.8645 2022/08/09 05:51:47 - mmengine - INFO - Epoch(train) [39][1300/1879] lr: 2.0000e-03 eta: 3:33:46 time: 0.6081 data_time: 0.0206 memory: 13723 grad_norm: 4.2407 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0796 loss: 1.0796 2022/08/09 05:51:59 - mmengine - INFO - Epoch(train) [39][1320/1879] lr: 2.0000e-03 eta: 3:33:34 time: 0.5719 data_time: 0.0243 memory: 13723 grad_norm: 4.2762 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0074 loss: 1.0074 2022/08/09 05:52:10 - mmengine - INFO - Epoch(train) [39][1340/1879] lr: 2.0000e-03 eta: 3:33:22 time: 0.5720 data_time: 0.0281 memory: 13723 grad_norm: 4.2500 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1213 loss: 1.1213 2022/08/09 05:52:22 - mmengine - INFO - Epoch(train) [39][1360/1879] lr: 2.0000e-03 eta: 3:33:09 time: 0.5760 data_time: 0.0257 memory: 13723 grad_norm: 4.1106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9732 loss: 0.9732 2022/08/09 05:52:33 - mmengine - INFO - Epoch(train) [39][1380/1879] lr: 2.0000e-03 eta: 3:32:57 time: 0.5824 data_time: 0.0239 memory: 13723 grad_norm: 4.2985 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8602 loss: 0.8602 2022/08/09 05:52:45 - mmengine - INFO - Epoch(train) [39][1400/1879] lr: 2.0000e-03 eta: 3:32:45 time: 0.5770 data_time: 0.0251 memory: 13723 grad_norm: 4.3972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0165 loss: 1.0165 2022/08/09 05:52:57 - mmengine - INFO - Epoch(train) [39][1420/1879] lr: 2.0000e-03 eta: 3:32:33 time: 0.6203 data_time: 0.0236 memory: 13723 grad_norm: 4.1588 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9704 loss: 0.9704 2022/08/09 05:53:09 - mmengine - INFO - Epoch(train) [39][1440/1879] lr: 2.0000e-03 eta: 3:32:21 time: 0.5782 data_time: 0.0252 memory: 13723 grad_norm: 4.1754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8618 loss: 0.8618 2022/08/09 05:53:20 - mmengine - INFO - Epoch(train) [39][1460/1879] lr: 2.0000e-03 eta: 3:32:09 time: 0.5780 data_time: 0.0271 memory: 13723 grad_norm: 4.1747 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8826 loss: 0.8826 2022/08/09 05:53:32 - mmengine - INFO - Epoch(train) [39][1480/1879] lr: 2.0000e-03 eta: 3:31:56 time: 0.5735 data_time: 0.0268 memory: 13723 grad_norm: 4.2292 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8492 loss: 0.8492 2022/08/09 05:53:43 - mmengine - INFO - Epoch(train) [39][1500/1879] lr: 2.0000e-03 eta: 3:31:44 time: 0.5753 data_time: 0.0224 memory: 13723 grad_norm: 4.2539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8226 loss: 0.8226 2022/08/09 05:53:55 - mmengine - INFO - Epoch(train) [39][1520/1879] lr: 2.0000e-03 eta: 3:31:32 time: 0.5749 data_time: 0.0249 memory: 13723 grad_norm: 4.2815 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9852 loss: 0.9852 2022/08/09 05:54:06 - mmengine - INFO - Epoch(train) [39][1540/1879] lr: 2.0000e-03 eta: 3:31:20 time: 0.5774 data_time: 0.0244 memory: 13723 grad_norm: 4.1374 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8184 loss: 0.8184 2022/08/09 05:54:18 - mmengine - INFO - Epoch(train) [39][1560/1879] lr: 2.0000e-03 eta: 3:31:07 time: 0.5737 data_time: 0.0246 memory: 13723 grad_norm: 4.2855 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0664 loss: 1.0664 2022/08/09 05:54:30 - mmengine - INFO - Epoch(train) [39][1580/1879] lr: 2.0000e-03 eta: 3:30:55 time: 0.5827 data_time: 0.0235 memory: 13723 grad_norm: 4.3293 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0241 loss: 1.0241 2022/08/09 05:54:40 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 05:54:41 - mmengine - INFO - Epoch(train) [39][1600/1879] lr: 2.0000e-03 eta: 3:30:43 time: 0.5736 data_time: 0.0233 memory: 13723 grad_norm: 4.1936 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9037 loss: 0.9037 2022/08/09 05:54:53 - mmengine - INFO - Epoch(train) [39][1620/1879] lr: 2.0000e-03 eta: 3:30:31 time: 0.5849 data_time: 0.0242 memory: 13723 grad_norm: 4.3538 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0469 loss: 1.0469 2022/08/09 05:55:04 - mmengine - INFO - Epoch(train) [39][1640/1879] lr: 2.0000e-03 eta: 3:30:19 time: 0.5751 data_time: 0.0234 memory: 13723 grad_norm: 4.1315 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8282 loss: 0.8282 2022/08/09 05:55:17 - mmengine - INFO - Epoch(train) [39][1660/1879] lr: 2.0000e-03 eta: 3:30:07 time: 0.6323 data_time: 0.0585 memory: 13723 grad_norm: 4.4445 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0158 loss: 1.0158 2022/08/09 05:55:29 - mmengine - INFO - Epoch(train) [39][1680/1879] lr: 2.0000e-03 eta: 3:29:54 time: 0.5837 data_time: 0.0254 memory: 13723 grad_norm: 4.2065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8621 loss: 0.8621 2022/08/09 05:55:40 - mmengine - INFO - Epoch(train) [39][1700/1879] lr: 2.0000e-03 eta: 3:29:42 time: 0.5765 data_time: 0.0263 memory: 13723 grad_norm: 4.0960 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9607 loss: 0.9607 2022/08/09 05:55:52 - mmengine - INFO - Epoch(train) [39][1720/1879] lr: 2.0000e-03 eta: 3:29:30 time: 0.5718 data_time: 0.0260 memory: 13723 grad_norm: 4.3319 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9834 loss: 0.9834 2022/08/09 05:56:03 - mmengine - INFO - Epoch(train) [39][1740/1879] lr: 2.0000e-03 eta: 3:29:18 time: 0.5777 data_time: 0.0244 memory: 13723 grad_norm: 4.0812 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9416 loss: 0.9416 2022/08/09 05:56:15 - mmengine - INFO - Epoch(train) [39][1760/1879] lr: 2.0000e-03 eta: 3:29:06 time: 0.5786 data_time: 0.0258 memory: 13723 grad_norm: 4.1794 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0925 loss: 1.0925 2022/08/09 05:56:26 - mmengine - INFO - Epoch(train) [39][1780/1879] lr: 2.0000e-03 eta: 3:28:53 time: 0.5726 data_time: 0.0255 memory: 13723 grad_norm: 4.1493 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 0.8540 loss: 0.8540 2022/08/09 05:56:38 - mmengine - INFO - Epoch(train) [39][1800/1879] lr: 2.0000e-03 eta: 3:28:41 time: 0.5774 data_time: 0.0262 memory: 13723 grad_norm: 4.4338 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8482 loss: 0.8482 2022/08/09 05:56:49 - mmengine - INFO - Epoch(train) [39][1820/1879] lr: 2.0000e-03 eta: 3:28:29 time: 0.5803 data_time: 0.0246 memory: 13723 grad_norm: 4.2871 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0482 loss: 1.0482 2022/08/09 05:57:01 - mmengine - INFO - Epoch(train) [39][1840/1879] lr: 2.0000e-03 eta: 3:28:17 time: 0.5799 data_time: 0.0249 memory: 13723 grad_norm: 4.3239 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9160 loss: 0.9160 2022/08/09 05:57:13 - mmengine - INFO - Epoch(train) [39][1860/1879] lr: 2.0000e-03 eta: 3:28:05 time: 0.5882 data_time: 0.0243 memory: 13723 grad_norm: 4.1863 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8993 loss: 0.8993 2022/08/09 05:57:23 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 05:57:23 - mmengine - INFO - Epoch(train) [39][1879/1879] lr: 2.0000e-03 eta: 3:28:05 time: 0.5342 data_time: 0.0177 memory: 13723 grad_norm: 4.3620 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.8801 loss: 0.8801 2022/08/09 05:57:23 - mmengine - INFO - Saving checkpoint at 39 epochs 2022/08/09 05:57:38 - mmengine - INFO - Epoch(val) [39][20/155] eta: 0:01:30 time: 0.6707 data_time: 0.5307 memory: 1829 2022/08/09 05:57:47 - mmengine - INFO - Epoch(val) [39][40/155] eta: 0:00:53 time: 0.4688 data_time: 0.3294 memory: 1829 2022/08/09 05:58:00 - mmengine - INFO - Epoch(val) [39][60/155] eta: 0:00:58 time: 0.6159 data_time: 0.4766 memory: 1829 2022/08/09 05:58:09 - mmengine - INFO - Epoch(val) [39][80/155] eta: 0:00:33 time: 0.4416 data_time: 0.3024 memory: 1829 2022/08/09 05:58:21 - mmengine - INFO - Epoch(val) [39][100/155] eta: 0:00:33 time: 0.6171 data_time: 0.4783 memory: 1829 2022/08/09 05:58:31 - mmengine - INFO - Epoch(val) [39][120/155] eta: 0:00:17 time: 0.4919 data_time: 0.3519 memory: 1829 2022/08/09 05:58:45 - mmengine - INFO - Epoch(val) [39][140/155] eta: 0:00:10 time: 0.7040 data_time: 0.5630 memory: 1829 2022/08/09 05:58:52 - mmengine - INFO - Epoch(val) [39][155/155] acc/top1: 0.7095 acc/top5: 0.8975 acc/mean1: 0.7094 2022/08/09 05:58:53 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_39.pth is removed 2022/08/09 05:58:54 - mmengine - INFO - The best checkpoint with 0.7095 acc/top1 at 40 epoch is saved to best_acc/top1_epoch_40.pth. 2022/08/09 05:59:10 - mmengine - INFO - Epoch(train) [40][20/1879] lr: 2.0000e-03 eta: 3:27:39 time: 0.8019 data_time: 0.2453 memory: 13723 grad_norm: 4.3014 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9954 loss: 0.9954 2022/08/09 05:59:21 - mmengine - INFO - Epoch(train) [40][40/1879] lr: 2.0000e-03 eta: 3:27:27 time: 0.5779 data_time: 0.0270 memory: 13723 grad_norm: 4.1457 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0141 loss: 1.0141 2022/08/09 05:59:33 - mmengine - INFO - Epoch(train) [40][60/1879] lr: 2.0000e-03 eta: 3:27:15 time: 0.5807 data_time: 0.0289 memory: 13723 grad_norm: 4.2324 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9944 loss: 0.9944 2022/08/09 05:59:44 - mmengine - INFO - Epoch(train) [40][80/1879] lr: 2.0000e-03 eta: 3:27:02 time: 0.5696 data_time: 0.0238 memory: 13723 grad_norm: 4.2156 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9600 loss: 0.9600 2022/08/09 05:59:56 - mmengine - INFO - Epoch(train) [40][100/1879] lr: 2.0000e-03 eta: 3:26:50 time: 0.5694 data_time: 0.0267 memory: 13723 grad_norm: 4.1343 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0828 loss: 1.0828 2022/08/09 06:00:08 - mmengine - INFO - Epoch(train) [40][120/1879] lr: 2.0000e-03 eta: 3:26:38 time: 0.5928 data_time: 0.0277 memory: 13723 grad_norm: 4.1987 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9610 loss: 0.9610 2022/08/09 06:00:20 - mmengine - INFO - Epoch(train) [40][140/1879] lr: 2.0000e-03 eta: 3:26:26 time: 0.6345 data_time: 0.0337 memory: 13723 grad_norm: 4.2429 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8947 loss: 0.8947 2022/08/09 06:00:33 - mmengine - INFO - Epoch(train) [40][160/1879] lr: 2.0000e-03 eta: 3:26:14 time: 0.6156 data_time: 0.0474 memory: 13723 grad_norm: 4.3151 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8301 loss: 0.8301 2022/08/09 06:00:44 - mmengine - INFO - Epoch(train) [40][180/1879] lr: 2.0000e-03 eta: 3:26:02 time: 0.5867 data_time: 0.0261 memory: 13723 grad_norm: 4.2337 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9889 loss: 0.9889 2022/08/09 06:00:56 - mmengine - INFO - Epoch(train) [40][200/1879] lr: 2.0000e-03 eta: 3:25:50 time: 0.5915 data_time: 0.0292 memory: 13723 grad_norm: 4.2824 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9100 loss: 0.9100 2022/08/09 06:01:08 - mmengine - INFO - Epoch(train) [40][220/1879] lr: 2.0000e-03 eta: 3:25:38 time: 0.5834 data_time: 0.0244 memory: 13723 grad_norm: 4.0888 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8422 loss: 0.8422 2022/08/09 06:01:19 - mmengine - INFO - Epoch(train) [40][240/1879] lr: 2.0000e-03 eta: 3:25:25 time: 0.5786 data_time: 0.0275 memory: 13723 grad_norm: 4.2519 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0417 loss: 1.0417 2022/08/09 06:01:31 - mmengine - INFO - Epoch(train) [40][260/1879] lr: 2.0000e-03 eta: 3:25:13 time: 0.5791 data_time: 0.0274 memory: 13723 grad_norm: 4.2831 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9414 loss: 0.9414 2022/08/09 06:01:42 - mmengine - INFO - Epoch(train) [40][280/1879] lr: 2.0000e-03 eta: 3:25:01 time: 0.5674 data_time: 0.0250 memory: 13723 grad_norm: 4.0932 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8624 loss: 0.8624 2022/08/09 06:01:54 - mmengine - INFO - Epoch(train) [40][300/1879] lr: 2.0000e-03 eta: 3:24:49 time: 0.5725 data_time: 0.0321 memory: 13723 grad_norm: 4.1801 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0482 loss: 1.0482 2022/08/09 06:02:05 - mmengine - INFO - Epoch(train) [40][320/1879] lr: 2.0000e-03 eta: 3:24:36 time: 0.5726 data_time: 0.0268 memory: 13723 grad_norm: 4.2589 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7737 loss: 0.7737 2022/08/09 06:02:17 - mmengine - INFO - Epoch(train) [40][340/1879] lr: 2.0000e-03 eta: 3:24:24 time: 0.5696 data_time: 0.0247 memory: 13723 grad_norm: 4.1862 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9256 loss: 0.9256 2022/08/09 06:02:28 - mmengine - INFO - Epoch(train) [40][360/1879] lr: 2.0000e-03 eta: 3:24:12 time: 0.5711 data_time: 0.0266 memory: 13723 grad_norm: 4.2073 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0534 loss: 1.0534 2022/08/09 06:02:39 - mmengine - INFO - Epoch(train) [40][380/1879] lr: 2.0000e-03 eta: 3:24:00 time: 0.5676 data_time: 0.0273 memory: 13723 grad_norm: 4.1988 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0387 loss: 1.0387 2022/08/09 06:02:51 - mmengine - INFO - Epoch(train) [40][400/1879] lr: 2.0000e-03 eta: 3:23:47 time: 0.5734 data_time: 0.0253 memory: 13723 grad_norm: 4.1322 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8331 loss: 0.8331 2022/08/09 06:03:02 - mmengine - INFO - Epoch(train) [40][420/1879] lr: 2.0000e-03 eta: 3:23:35 time: 0.5668 data_time: 0.0257 memory: 13723 grad_norm: 4.2409 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9212 loss: 0.9212 2022/08/09 06:03:14 - mmengine - INFO - Epoch(train) [40][440/1879] lr: 2.0000e-03 eta: 3:23:23 time: 0.5705 data_time: 0.0259 memory: 13723 grad_norm: 4.1597 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8371 loss: 0.8371 2022/08/09 06:03:25 - mmengine - INFO - Epoch(train) [40][460/1879] lr: 2.0000e-03 eta: 3:23:11 time: 0.5674 data_time: 0.0256 memory: 13723 grad_norm: 4.1259 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9506 loss: 0.9506 2022/08/09 06:03:36 - mmengine - INFO - Epoch(train) [40][480/1879] lr: 2.0000e-03 eta: 3:22:58 time: 0.5679 data_time: 0.0259 memory: 13723 grad_norm: 4.1258 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9039 loss: 0.9039 2022/08/09 06:03:48 - mmengine - INFO - Epoch(train) [40][500/1879] lr: 2.0000e-03 eta: 3:22:46 time: 0.5675 data_time: 0.0252 memory: 13723 grad_norm: 4.2232 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7500 loss: 0.7500 2022/08/09 06:03:59 - mmengine - INFO - Epoch(train) [40][520/1879] lr: 2.0000e-03 eta: 3:22:34 time: 0.5696 data_time: 0.0254 memory: 13723 grad_norm: 4.1609 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0103 loss: 1.0103 2022/08/09 06:04:11 - mmengine - INFO - Epoch(train) [40][540/1879] lr: 2.0000e-03 eta: 3:22:22 time: 0.5683 data_time: 0.0254 memory: 13723 grad_norm: 4.1721 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8037 loss: 0.8037 2022/08/09 06:04:22 - mmengine - INFO - Epoch(train) [40][560/1879] lr: 2.0000e-03 eta: 3:22:09 time: 0.5661 data_time: 0.0267 memory: 13723 grad_norm: 4.1485 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0049 loss: 1.0049 2022/08/09 06:04:33 - mmengine - INFO - Epoch(train) [40][580/1879] lr: 2.0000e-03 eta: 3:21:57 time: 0.5706 data_time: 0.0261 memory: 13723 grad_norm: 4.2578 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9318 loss: 0.9318 2022/08/09 06:04:45 - mmengine - INFO - Epoch(train) [40][600/1879] lr: 2.0000e-03 eta: 3:21:45 time: 0.5686 data_time: 0.0254 memory: 13723 grad_norm: 4.2758 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9109 loss: 0.9109 2022/08/09 06:04:56 - mmengine - INFO - Epoch(train) [40][620/1879] lr: 2.0000e-03 eta: 3:21:33 time: 0.5698 data_time: 0.0269 memory: 13723 grad_norm: 4.2502 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8541 loss: 0.8541 2022/08/09 06:05:08 - mmengine - INFO - Epoch(train) [40][640/1879] lr: 2.0000e-03 eta: 3:21:20 time: 0.5706 data_time: 0.0322 memory: 13723 grad_norm: 4.2298 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9281 loss: 0.9281 2022/08/09 06:05:19 - mmengine - INFO - Epoch(train) [40][660/1879] lr: 2.0000e-03 eta: 3:21:08 time: 0.5787 data_time: 0.0291 memory: 13723 grad_norm: 4.1220 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9223 loss: 0.9223 2022/08/09 06:05:31 - mmengine - INFO - Epoch(train) [40][680/1879] lr: 2.0000e-03 eta: 3:20:56 time: 0.5898 data_time: 0.0284 memory: 13723 grad_norm: 4.1253 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9367 loss: 0.9367 2022/08/09 06:05:42 - mmengine - INFO - Epoch(train) [40][700/1879] lr: 2.0000e-03 eta: 3:20:44 time: 0.5674 data_time: 0.0274 memory: 13723 grad_norm: 4.2398 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8930 loss: 0.8930 2022/08/09 06:05:53 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 06:05:54 - mmengine - INFO - Epoch(train) [40][720/1879] lr: 2.0000e-03 eta: 3:20:31 time: 0.5683 data_time: 0.0292 memory: 13723 grad_norm: 4.2910 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0522 loss: 1.0522 2022/08/09 06:06:05 - mmengine - INFO - Epoch(train) [40][740/1879] lr: 2.0000e-03 eta: 3:20:19 time: 0.5714 data_time: 0.0264 memory: 13723 grad_norm: 4.1661 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9417 loss: 0.9417 2022/08/09 06:06:17 - mmengine - INFO - Epoch(train) [40][760/1879] lr: 2.0000e-03 eta: 3:20:07 time: 0.5701 data_time: 0.0285 memory: 13723 grad_norm: 4.1459 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9874 loss: 0.9874 2022/08/09 06:06:28 - mmengine - INFO - Epoch(train) [40][780/1879] lr: 2.0000e-03 eta: 3:19:55 time: 0.5707 data_time: 0.0266 memory: 13723 grad_norm: 4.0561 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9010 loss: 0.9010 2022/08/09 06:06:39 - mmengine - INFO - Epoch(train) [40][800/1879] lr: 2.0000e-03 eta: 3:19:43 time: 0.5647 data_time: 0.0269 memory: 13723 grad_norm: 4.0999 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8819 loss: 0.8819 2022/08/09 06:06:51 - mmengine - INFO - Epoch(train) [40][820/1879] lr: 2.0000e-03 eta: 3:19:30 time: 0.5682 data_time: 0.0266 memory: 13723 grad_norm: 4.2966 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0515 loss: 1.0515 2022/08/09 06:07:02 - mmengine - INFO - Epoch(train) [40][840/1879] lr: 2.0000e-03 eta: 3:19:18 time: 0.5675 data_time: 0.0278 memory: 13723 grad_norm: 4.2066 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9830 loss: 0.9830 2022/08/09 06:07:13 - mmengine - INFO - Epoch(train) [40][860/1879] lr: 2.0000e-03 eta: 3:19:06 time: 0.5709 data_time: 0.0255 memory: 13723 grad_norm: 4.2647 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0264 loss: 1.0264 2022/08/09 06:07:25 - mmengine - INFO - Epoch(train) [40][880/1879] lr: 2.0000e-03 eta: 3:18:54 time: 0.5654 data_time: 0.0263 memory: 13723 grad_norm: 4.1797 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9433 loss: 0.9433 2022/08/09 06:07:36 - mmengine - INFO - Epoch(train) [40][900/1879] lr: 2.0000e-03 eta: 3:18:41 time: 0.5700 data_time: 0.0261 memory: 13723 grad_norm: 4.3140 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8599 loss: 0.8599 2022/08/09 06:07:48 - mmengine - INFO - Epoch(train) [40][920/1879] lr: 2.0000e-03 eta: 3:18:29 time: 0.5696 data_time: 0.0308 memory: 13723 grad_norm: 4.1830 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9456 loss: 0.9456 2022/08/09 06:07:59 - mmengine - INFO - Epoch(train) [40][940/1879] lr: 2.0000e-03 eta: 3:18:17 time: 0.5652 data_time: 0.0256 memory: 13723 grad_norm: 4.1567 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8693 loss: 0.8693 2022/08/09 06:08:10 - mmengine - INFO - Epoch(train) [40][960/1879] lr: 2.0000e-03 eta: 3:18:05 time: 0.5690 data_time: 0.0279 memory: 13723 grad_norm: 4.3112 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9297 loss: 0.9297 2022/08/09 06:08:22 - mmengine - INFO - Epoch(train) [40][980/1879] lr: 2.0000e-03 eta: 3:17:52 time: 0.5691 data_time: 0.0247 memory: 13723 grad_norm: 4.2782 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9125 loss: 0.9125 2022/08/09 06:08:33 - mmengine - INFO - Epoch(train) [40][1000/1879] lr: 2.0000e-03 eta: 3:17:40 time: 0.5699 data_time: 0.0242 memory: 13723 grad_norm: 4.4147 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0559 loss: 1.0559 2022/08/09 06:08:45 - mmengine - INFO - Epoch(train) [40][1020/1879] lr: 2.0000e-03 eta: 3:17:28 time: 0.5783 data_time: 0.0244 memory: 13723 grad_norm: 4.1985 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8901 loss: 0.8901 2022/08/09 06:08:56 - mmengine - INFO - Epoch(train) [40][1040/1879] lr: 2.0000e-03 eta: 3:17:16 time: 0.5652 data_time: 0.0284 memory: 13723 grad_norm: 4.1920 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0053 loss: 1.0053 2022/08/09 06:09:07 - mmengine - INFO - Epoch(train) [40][1060/1879] lr: 2.0000e-03 eta: 3:17:03 time: 0.5732 data_time: 0.0248 memory: 13723 grad_norm: 4.2813 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7870 loss: 0.7870 2022/08/09 06:09:19 - mmengine - INFO - Epoch(train) [40][1080/1879] lr: 2.0000e-03 eta: 3:16:51 time: 0.5663 data_time: 0.0256 memory: 13723 grad_norm: 4.2935 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9450 loss: 0.9450 2022/08/09 06:09:30 - mmengine - INFO - Epoch(train) [40][1100/1879] lr: 2.0000e-03 eta: 3:16:39 time: 0.5659 data_time: 0.0243 memory: 13723 grad_norm: 4.3079 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0643 loss: 1.0643 2022/08/09 06:09:42 - mmengine - INFO - Epoch(train) [40][1120/1879] lr: 2.0000e-03 eta: 3:16:27 time: 0.5710 data_time: 0.0278 memory: 13723 grad_norm: 4.2287 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8650 loss: 0.8650 2022/08/09 06:09:53 - mmengine - INFO - Epoch(train) [40][1140/1879] lr: 2.0000e-03 eta: 3:16:14 time: 0.5687 data_time: 0.0250 memory: 13723 grad_norm: 4.2567 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9212 loss: 0.9212 2022/08/09 06:10:05 - mmengine - INFO - Epoch(train) [40][1160/1879] lr: 2.0000e-03 eta: 3:16:02 time: 0.5948 data_time: 0.0276 memory: 13723 grad_norm: 4.2132 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9789 loss: 0.9789 2022/08/09 06:10:16 - mmengine - INFO - Epoch(train) [40][1180/1879] lr: 2.0000e-03 eta: 3:15:50 time: 0.5758 data_time: 0.0253 memory: 13723 grad_norm: 4.2226 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8693 loss: 0.8693 2022/08/09 06:10:28 - mmengine - INFO - Epoch(train) [40][1200/1879] lr: 2.0000e-03 eta: 3:15:38 time: 0.5823 data_time: 0.0262 memory: 13723 grad_norm: 4.1330 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8421 loss: 0.8421 2022/08/09 06:10:40 - mmengine - INFO - Epoch(train) [40][1220/1879] lr: 2.0000e-03 eta: 3:15:26 time: 0.5843 data_time: 0.0277 memory: 13723 grad_norm: 4.1638 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9804 loss: 0.9804 2022/08/09 06:10:51 - mmengine - INFO - Epoch(train) [40][1240/1879] lr: 2.0000e-03 eta: 3:15:14 time: 0.5821 data_time: 0.0281 memory: 13723 grad_norm: 4.3151 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9165 loss: 0.9165 2022/08/09 06:11:03 - mmengine - INFO - Epoch(train) [40][1260/1879] lr: 2.0000e-03 eta: 3:15:01 time: 0.5733 data_time: 0.0273 memory: 13723 grad_norm: 4.2122 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8696 loss: 0.8696 2022/08/09 06:11:14 - mmengine - INFO - Epoch(train) [40][1280/1879] lr: 2.0000e-03 eta: 3:14:49 time: 0.5642 data_time: 0.0243 memory: 13723 grad_norm: 4.2279 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7123 loss: 0.7123 2022/08/09 06:11:26 - mmengine - INFO - Epoch(train) [40][1300/1879] lr: 2.0000e-03 eta: 3:14:37 time: 0.5704 data_time: 0.0281 memory: 13723 grad_norm: 4.1373 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0007 loss: 1.0007 2022/08/09 06:11:37 - mmengine - INFO - Epoch(train) [40][1320/1879] lr: 2.0000e-03 eta: 3:14:25 time: 0.5683 data_time: 0.0255 memory: 13723 grad_norm: 4.2796 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8772 loss: 0.8772 2022/08/09 06:11:48 - mmengine - INFO - Epoch(train) [40][1340/1879] lr: 2.0000e-03 eta: 3:14:12 time: 0.5643 data_time: 0.0252 memory: 13723 grad_norm: 4.2241 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9996 loss: 0.9996 2022/08/09 06:12:00 - mmengine - INFO - Epoch(train) [40][1360/1879] lr: 2.0000e-03 eta: 3:14:00 time: 0.5714 data_time: 0.0261 memory: 13723 grad_norm: 4.2205 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9751 loss: 0.9751 2022/08/09 06:12:11 - mmengine - INFO - Epoch(train) [40][1380/1879] lr: 2.0000e-03 eta: 3:13:48 time: 0.5694 data_time: 0.0241 memory: 13723 grad_norm: 4.2662 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9726 loss: 0.9726 2022/08/09 06:12:22 - mmengine - INFO - Epoch(train) [40][1400/1879] lr: 2.0000e-03 eta: 3:13:36 time: 0.5652 data_time: 0.0249 memory: 13723 grad_norm: 4.3363 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8800 loss: 0.8800 2022/08/09 06:12:34 - mmengine - INFO - Epoch(train) [40][1420/1879] lr: 2.0000e-03 eta: 3:13:23 time: 0.5632 data_time: 0.0248 memory: 13723 grad_norm: 4.2029 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0311 loss: 1.0311 2022/08/09 06:12:45 - mmengine - INFO - Epoch(train) [40][1440/1879] lr: 2.0000e-03 eta: 3:13:11 time: 0.5675 data_time: 0.0285 memory: 13723 grad_norm: 4.2414 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9526 loss: 0.9526 2022/08/09 06:12:56 - mmengine - INFO - Epoch(train) [40][1460/1879] lr: 2.0000e-03 eta: 3:12:59 time: 0.5711 data_time: 0.0260 memory: 13723 grad_norm: 4.2634 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9669 loss: 0.9669 2022/08/09 06:13:08 - mmengine - INFO - Epoch(train) [40][1480/1879] lr: 2.0000e-03 eta: 3:12:47 time: 0.5642 data_time: 0.0258 memory: 13723 grad_norm: 4.2775 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8596 loss: 0.8596 2022/08/09 06:13:19 - mmengine - INFO - Epoch(train) [40][1500/1879] lr: 2.0000e-03 eta: 3:12:35 time: 0.5656 data_time: 0.0259 memory: 13723 grad_norm: 4.1593 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7875 loss: 0.7875 2022/08/09 06:13:30 - mmengine - INFO - Epoch(train) [40][1520/1879] lr: 2.0000e-03 eta: 3:12:22 time: 0.5692 data_time: 0.0266 memory: 13723 grad_norm: 4.3341 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0678 loss: 1.0678 2022/08/09 06:13:42 - mmengine - INFO - Epoch(train) [40][1540/1879] lr: 2.0000e-03 eta: 3:12:10 time: 0.5709 data_time: 0.0250 memory: 13723 grad_norm: 4.2076 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8350 loss: 0.8350 2022/08/09 06:13:53 - mmengine - INFO - Epoch(train) [40][1560/1879] lr: 2.0000e-03 eta: 3:11:58 time: 0.5724 data_time: 0.0308 memory: 13723 grad_norm: 4.3103 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8609 loss: 0.8609 2022/08/09 06:14:05 - mmengine - INFO - Epoch(train) [40][1580/1879] lr: 2.0000e-03 eta: 3:11:46 time: 0.5646 data_time: 0.0261 memory: 13723 grad_norm: 4.2285 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8671 loss: 0.8671 2022/08/09 06:14:16 - mmengine - INFO - Epoch(train) [40][1600/1879] lr: 2.0000e-03 eta: 3:11:33 time: 0.5677 data_time: 0.0291 memory: 13723 grad_norm: 4.2643 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9861 loss: 0.9861 2022/08/09 06:14:27 - mmengine - INFO - Epoch(train) [40][1620/1879] lr: 2.0000e-03 eta: 3:11:21 time: 0.5697 data_time: 0.0299 memory: 13723 grad_norm: 4.2862 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8751 loss: 0.8751 2022/08/09 06:14:39 - mmengine - INFO - Epoch(train) [40][1640/1879] lr: 2.0000e-03 eta: 3:11:09 time: 0.5646 data_time: 0.0248 memory: 13723 grad_norm: 4.2513 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0898 loss: 1.0898 2022/08/09 06:14:50 - mmengine - INFO - Epoch(train) [40][1660/1879] lr: 2.0000e-03 eta: 3:10:57 time: 0.5656 data_time: 0.0288 memory: 13723 grad_norm: 4.2632 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9392 loss: 0.9392 2022/08/09 06:15:01 - mmengine - INFO - Epoch(train) [40][1680/1879] lr: 2.0000e-03 eta: 3:10:44 time: 0.5712 data_time: 0.0280 memory: 13723 grad_norm: 4.3308 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0856 loss: 1.0856 2022/08/09 06:15:13 - mmengine - INFO - Epoch(train) [40][1700/1879] lr: 2.0000e-03 eta: 3:10:32 time: 0.5670 data_time: 0.0285 memory: 13723 grad_norm: 4.3791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0722 loss: 1.0722 2022/08/09 06:15:24 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 06:15:24 - mmengine - INFO - Epoch(train) [40][1720/1879] lr: 2.0000e-03 eta: 3:10:20 time: 0.5808 data_time: 0.0269 memory: 13723 grad_norm: 4.3738 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0368 loss: 1.0368 2022/08/09 06:15:36 - mmengine - INFO - Epoch(train) [40][1740/1879] lr: 2.0000e-03 eta: 3:10:08 time: 0.5956 data_time: 0.0287 memory: 13723 grad_norm: 4.3180 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0389 loss: 1.0389 2022/08/09 06:15:48 - mmengine - INFO - Epoch(train) [40][1760/1879] lr: 2.0000e-03 eta: 3:09:56 time: 0.5995 data_time: 0.0287 memory: 13723 grad_norm: 4.1653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0008 loss: 1.0008 2022/08/09 06:16:00 - mmengine - INFO - Epoch(train) [40][1780/1879] lr: 2.0000e-03 eta: 3:09:44 time: 0.5835 data_time: 0.0250 memory: 13723 grad_norm: 4.2862 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1130 loss: 1.1130 2022/08/09 06:16:12 - mmengine - INFO - Epoch(train) [40][1800/1879] lr: 2.0000e-03 eta: 3:09:32 time: 0.5781 data_time: 0.0281 memory: 13723 grad_norm: 4.2188 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0918 loss: 1.0918 2022/08/09 06:16:23 - mmengine - INFO - Epoch(train) [40][1820/1879] lr: 2.0000e-03 eta: 3:09:19 time: 0.5743 data_time: 0.0288 memory: 13723 grad_norm: 4.2856 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0239 loss: 1.0239 2022/08/09 06:16:35 - mmengine - INFO - Epoch(train) [40][1840/1879] lr: 2.0000e-03 eta: 3:09:07 time: 0.5710 data_time: 0.0254 memory: 13723 grad_norm: 4.4966 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0410 loss: 1.0410 2022/08/09 06:16:46 - mmengine - INFO - Epoch(train) [40][1860/1879] lr: 2.0000e-03 eta: 3:08:55 time: 0.5696 data_time: 0.0279 memory: 13723 grad_norm: 4.3517 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1120 loss: 1.1120 2022/08/09 06:16:56 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 06:16:56 - mmengine - INFO - Epoch(train) [40][1879/1879] lr: 2.0000e-03 eta: 3:08:55 time: 0.5304 data_time: 0.0195 memory: 13723 grad_norm: 4.3651 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.0478 loss: 1.0478 2022/08/09 06:17:10 - mmengine - INFO - Epoch(val) [40][20/155] eta: 0:01:30 time: 0.6708 data_time: 0.5293 memory: 1829 2022/08/09 06:17:18 - mmengine - INFO - Epoch(val) [40][40/155] eta: 0:00:51 time: 0.4436 data_time: 0.3035 memory: 1829 2022/08/09 06:17:31 - mmengine - INFO - Epoch(val) [40][60/155] eta: 0:00:58 time: 0.6187 data_time: 0.4782 memory: 1829 2022/08/09 06:17:40 - mmengine - INFO - Epoch(val) [40][80/155] eta: 0:00:36 time: 0.4801 data_time: 0.3403 memory: 1829 2022/08/09 06:17:53 - mmengine - INFO - Epoch(val) [40][100/155] eta: 0:00:34 time: 0.6329 data_time: 0.4925 memory: 1829 2022/08/09 06:18:02 - mmengine - INFO - Epoch(val) [40][120/155] eta: 0:00:15 time: 0.4553 data_time: 0.3150 memory: 1829 2022/08/09 06:18:15 - mmengine - INFO - Epoch(val) [40][140/155] eta: 0:00:09 time: 0.6251 data_time: 0.4849 memory: 1829 2022/08/09 06:18:23 - mmengine - INFO - Epoch(val) [40][155/155] acc/top1: 0.7062 acc/top5: 0.8953 acc/mean1: 0.7060 2022/08/09 06:18:40 - mmengine - INFO - Epoch(train) [41][20/1879] lr: 2.0000e-03 eta: 3:08:30 time: 0.8517 data_time: 0.2111 memory: 13723 grad_norm: 4.2439 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9500 loss: 0.9500 2022/08/09 06:18:51 - mmengine - INFO - Epoch(train) [41][40/1879] lr: 2.0000e-03 eta: 3:08:18 time: 0.5758 data_time: 0.0265 memory: 13723 grad_norm: 4.2908 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0384 loss: 1.0384 2022/08/09 06:19:03 - mmengine - INFO - Epoch(train) [41][60/1879] lr: 2.0000e-03 eta: 3:08:05 time: 0.5817 data_time: 0.0275 memory: 13723 grad_norm: 4.1066 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7852 loss: 0.7852 2022/08/09 06:19:15 - mmengine - INFO - Epoch(train) [41][80/1879] lr: 2.0000e-03 eta: 3:07:53 time: 0.5790 data_time: 0.0271 memory: 13723 grad_norm: 4.1612 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8880 loss: 0.8880 2022/08/09 06:19:26 - mmengine - INFO - Epoch(train) [41][100/1879] lr: 2.0000e-03 eta: 3:07:41 time: 0.5685 data_time: 0.0252 memory: 13723 grad_norm: 4.3117 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.0310 loss: 1.0310 2022/08/09 06:19:37 - mmengine - INFO - Epoch(train) [41][120/1879] lr: 2.0000e-03 eta: 3:07:29 time: 0.5756 data_time: 0.0261 memory: 13723 grad_norm: 4.1826 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9774 loss: 0.9774 2022/08/09 06:19:49 - mmengine - INFO - Epoch(train) [41][140/1879] lr: 2.0000e-03 eta: 3:07:17 time: 0.5617 data_time: 0.0263 memory: 13723 grad_norm: 4.1118 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9259 loss: 0.9259 2022/08/09 06:20:00 - mmengine - INFO - Epoch(train) [41][160/1879] lr: 2.0000e-03 eta: 3:07:04 time: 0.5680 data_time: 0.0264 memory: 13723 grad_norm: 4.2427 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9647 loss: 0.9647 2022/08/09 06:20:12 - mmengine - INFO - Epoch(train) [41][180/1879] lr: 2.0000e-03 eta: 3:06:52 time: 0.5973 data_time: 0.0284 memory: 13723 grad_norm: 4.1739 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8229 loss: 0.8229 2022/08/09 06:20:24 - mmengine - INFO - Epoch(train) [41][200/1879] lr: 2.0000e-03 eta: 3:06:40 time: 0.5842 data_time: 0.0283 memory: 13723 grad_norm: 4.2464 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8875 loss: 0.8875 2022/08/09 06:20:36 - mmengine - INFO - Epoch(train) [41][220/1879] lr: 2.0000e-03 eta: 3:06:28 time: 0.5896 data_time: 0.0321 memory: 13723 grad_norm: 4.2155 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9167 loss: 0.9167 2022/08/09 06:20:47 - mmengine - INFO - Epoch(train) [41][240/1879] lr: 2.0000e-03 eta: 3:06:16 time: 0.5909 data_time: 0.0274 memory: 13723 grad_norm: 4.2052 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8532 loss: 0.8532 2022/08/09 06:20:59 - mmengine - INFO - Epoch(train) [41][260/1879] lr: 2.0000e-03 eta: 3:06:04 time: 0.5885 data_time: 0.0282 memory: 13723 grad_norm: 4.1903 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9064 loss: 0.9064 2022/08/09 06:21:11 - mmengine - INFO - Epoch(train) [41][280/1879] lr: 2.0000e-03 eta: 3:05:52 time: 0.5856 data_time: 0.0259 memory: 13723 grad_norm: 4.0926 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.9391 loss: 0.9391 2022/08/09 06:21:22 - mmengine - INFO - Epoch(train) [41][300/1879] lr: 2.0000e-03 eta: 3:05:40 time: 0.5786 data_time: 0.0285 memory: 13723 grad_norm: 4.1997 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8495 loss: 0.8495 2022/08/09 06:21:34 - mmengine - INFO - Epoch(train) [41][320/1879] lr: 2.0000e-03 eta: 3:05:27 time: 0.5742 data_time: 0.0262 memory: 13723 grad_norm: 4.2769 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8616 loss: 0.8616 2022/08/09 06:21:45 - mmengine - INFO - Epoch(train) [41][340/1879] lr: 2.0000e-03 eta: 3:05:15 time: 0.5709 data_time: 0.0262 memory: 13723 grad_norm: 4.0968 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8699 loss: 0.8699 2022/08/09 06:21:57 - mmengine - INFO - Epoch(train) [41][360/1879] lr: 2.0000e-03 eta: 3:05:03 time: 0.5686 data_time: 0.0254 memory: 13723 grad_norm: 4.1822 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9085 loss: 0.9085 2022/08/09 06:22:08 - mmengine - INFO - Epoch(train) [41][380/1879] lr: 2.0000e-03 eta: 3:04:51 time: 0.5748 data_time: 0.0260 memory: 13723 grad_norm: 4.3867 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9471 loss: 0.9471 2022/08/09 06:22:20 - mmengine - INFO - Epoch(train) [41][400/1879] lr: 2.0000e-03 eta: 3:04:39 time: 0.5699 data_time: 0.0367 memory: 13723 grad_norm: 4.2097 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9482 loss: 0.9482 2022/08/09 06:22:31 - mmengine - INFO - Epoch(train) [41][420/1879] lr: 2.0000e-03 eta: 3:04:26 time: 0.5716 data_time: 0.0274 memory: 13723 grad_norm: 4.3551 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8219 loss: 0.8219 2022/08/09 06:22:42 - mmengine - INFO - Epoch(train) [41][440/1879] lr: 2.0000e-03 eta: 3:04:14 time: 0.5680 data_time: 0.0265 memory: 13723 grad_norm: 4.1452 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7906 loss: 0.7906 2022/08/09 06:22:54 - mmengine - INFO - Epoch(train) [41][460/1879] lr: 2.0000e-03 eta: 3:04:02 time: 0.5711 data_time: 0.0269 memory: 13723 grad_norm: 4.2870 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0874 loss: 1.0874 2022/08/09 06:23:05 - mmengine - INFO - Epoch(train) [41][480/1879] lr: 2.0000e-03 eta: 3:03:50 time: 0.5663 data_time: 0.0244 memory: 13723 grad_norm: 4.1856 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7940 loss: 0.7940 2022/08/09 06:23:17 - mmengine - INFO - Epoch(train) [41][500/1879] lr: 2.0000e-03 eta: 3:03:38 time: 0.5695 data_time: 0.0266 memory: 13723 grad_norm: 4.1761 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8313 loss: 0.8313 2022/08/09 06:23:28 - mmengine - INFO - Epoch(train) [41][520/1879] lr: 2.0000e-03 eta: 3:03:25 time: 0.5656 data_time: 0.0268 memory: 13723 grad_norm: 4.2817 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9630 loss: 0.9630 2022/08/09 06:23:39 - mmengine - INFO - Epoch(train) [41][540/1879] lr: 2.0000e-03 eta: 3:03:13 time: 0.5730 data_time: 0.0283 memory: 13723 grad_norm: 4.2449 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8830 loss: 0.8830 2022/08/09 06:23:51 - mmengine - INFO - Epoch(train) [41][560/1879] lr: 2.0000e-03 eta: 3:03:01 time: 0.5712 data_time: 0.0257 memory: 13723 grad_norm: 4.2210 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0150 loss: 1.0150 2022/08/09 06:24:02 - mmengine - INFO - Epoch(train) [41][580/1879] lr: 2.0000e-03 eta: 3:02:49 time: 0.5707 data_time: 0.0274 memory: 13723 grad_norm: 4.1591 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7545 loss: 0.7545 2022/08/09 06:24:14 - mmengine - INFO - Epoch(train) [41][600/1879] lr: 2.0000e-03 eta: 3:02:37 time: 0.5827 data_time: 0.0428 memory: 13723 grad_norm: 4.3850 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0675 loss: 1.0675 2022/08/09 06:24:25 - mmengine - INFO - Epoch(train) [41][620/1879] lr: 2.0000e-03 eta: 3:02:24 time: 0.5647 data_time: 0.0255 memory: 13723 grad_norm: 4.2318 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0588 loss: 1.0588 2022/08/09 06:24:37 - mmengine - INFO - Epoch(train) [41][640/1879] lr: 2.0000e-03 eta: 3:02:12 time: 0.5694 data_time: 0.0261 memory: 13723 grad_norm: 4.3311 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0664 loss: 1.0664 2022/08/09 06:24:48 - mmengine - INFO - Epoch(train) [41][660/1879] lr: 2.0000e-03 eta: 3:02:00 time: 0.5717 data_time: 0.0284 memory: 13723 grad_norm: 4.2715 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9555 loss: 0.9555 2022/08/09 06:24:59 - mmengine - INFO - Epoch(train) [41][680/1879] lr: 2.0000e-03 eta: 3:01:48 time: 0.5648 data_time: 0.0285 memory: 13723 grad_norm: 4.2002 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9058 loss: 0.9058 2022/08/09 06:25:14 - mmengine - INFO - Epoch(train) [41][700/1879] lr: 2.0000e-03 eta: 3:01:36 time: 0.7520 data_time: 0.0561 memory: 13723 grad_norm: 4.3466 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9227 loss: 0.9227 2022/08/09 06:25:26 - mmengine - INFO - Epoch(train) [41][720/1879] lr: 2.0000e-03 eta: 3:01:24 time: 0.5876 data_time: 0.0303 memory: 13723 grad_norm: 4.3553 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0152 loss: 1.0152 2022/08/09 06:25:38 - mmengine - INFO - Epoch(train) [41][740/1879] lr: 2.0000e-03 eta: 3:01:12 time: 0.5843 data_time: 0.0276 memory: 13723 grad_norm: 4.4108 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8341 loss: 0.8341 2022/08/09 06:25:50 - mmengine - INFO - Epoch(train) [41][760/1879] lr: 2.0000e-03 eta: 3:01:00 time: 0.5988 data_time: 0.0266 memory: 13723 grad_norm: 4.2228 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9191 loss: 0.9191 2022/08/09 06:26:02 - mmengine - INFO - Epoch(train) [41][780/1879] lr: 2.0000e-03 eta: 3:00:48 time: 0.6147 data_time: 0.0608 memory: 13723 grad_norm: 4.3867 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9721 loss: 0.9721 2022/08/09 06:26:14 - mmengine - INFO - Epoch(train) [41][800/1879] lr: 2.0000e-03 eta: 3:00:36 time: 0.5705 data_time: 0.0278 memory: 13723 grad_norm: 4.2285 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9145 loss: 0.9145 2022/08/09 06:26:25 - mmengine - INFO - Epoch(train) [41][820/1879] lr: 2.0000e-03 eta: 3:00:24 time: 0.5696 data_time: 0.0265 memory: 13723 grad_norm: 4.2271 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9091 loss: 0.9091 2022/08/09 06:26:37 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 06:26:37 - mmengine - INFO - Epoch(train) [41][840/1879] lr: 2.0000e-03 eta: 3:00:11 time: 0.5738 data_time: 0.0292 memory: 13723 grad_norm: 4.1251 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8412 loss: 0.8412 2022/08/09 06:26:48 - mmengine - INFO - Epoch(train) [41][860/1879] lr: 2.0000e-03 eta: 2:59:59 time: 0.5704 data_time: 0.0281 memory: 13723 grad_norm: 4.2716 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9725 loss: 0.9725 2022/08/09 06:26:59 - mmengine - INFO - Epoch(train) [41][880/1879] lr: 2.0000e-03 eta: 2:59:47 time: 0.5682 data_time: 0.0232 memory: 13723 grad_norm: 4.2556 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.0225 loss: 1.0225 2022/08/09 06:27:11 - mmengine - INFO - Epoch(train) [41][900/1879] lr: 2.0000e-03 eta: 2:59:35 time: 0.5716 data_time: 0.0241 memory: 13723 grad_norm: 4.4072 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8689 loss: 0.8689 2022/08/09 06:27:22 - mmengine - INFO - Epoch(train) [41][920/1879] lr: 2.0000e-03 eta: 2:59:23 time: 0.5736 data_time: 0.0292 memory: 13723 grad_norm: 4.1808 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0093 loss: 1.0093 2022/08/09 06:27:34 - mmengine - INFO - Epoch(train) [41][940/1879] lr: 2.0000e-03 eta: 2:59:11 time: 0.5770 data_time: 0.0262 memory: 13723 grad_norm: 4.3300 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9675 loss: 0.9675 2022/08/09 06:27:45 - mmengine - INFO - Epoch(train) [41][960/1879] lr: 2.0000e-03 eta: 2:58:58 time: 0.5661 data_time: 0.0279 memory: 13723 grad_norm: 4.3912 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9514 loss: 0.9514 2022/08/09 06:27:57 - mmengine - INFO - Epoch(train) [41][980/1879] lr: 2.0000e-03 eta: 2:58:46 time: 0.5730 data_time: 0.0261 memory: 13723 grad_norm: 4.3126 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9980 loss: 0.9980 2022/08/09 06:28:08 - mmengine - INFO - Epoch(train) [41][1000/1879] lr: 2.0000e-03 eta: 2:58:34 time: 0.5781 data_time: 0.0250 memory: 13723 grad_norm: 4.3138 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8132 loss: 0.8132 2022/08/09 06:28:20 - mmengine - INFO - Epoch(train) [41][1020/1879] lr: 2.0000e-03 eta: 2:58:22 time: 0.5765 data_time: 0.0273 memory: 13723 grad_norm: 4.2885 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9196 loss: 0.9196 2022/08/09 06:28:31 - mmengine - INFO - Epoch(train) [41][1040/1879] lr: 2.0000e-03 eta: 2:58:10 time: 0.5727 data_time: 0.0290 memory: 13723 grad_norm: 4.2515 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8405 loss: 0.8405 2022/08/09 06:28:43 - mmengine - INFO - Epoch(train) [41][1060/1879] lr: 2.0000e-03 eta: 2:57:57 time: 0.5745 data_time: 0.0228 memory: 13723 grad_norm: 4.4857 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0340 loss: 1.0340 2022/08/09 06:28:55 - mmengine - INFO - Epoch(train) [41][1080/1879] lr: 2.0000e-03 eta: 2:57:45 time: 0.5945 data_time: 0.0260 memory: 13723 grad_norm: 4.3664 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8629 loss: 0.8629 2022/08/09 06:29:06 - mmengine - INFO - Epoch(train) [41][1100/1879] lr: 2.0000e-03 eta: 2:57:33 time: 0.5797 data_time: 0.0262 memory: 13723 grad_norm: 4.4043 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8384 loss: 0.8384 2022/08/09 06:29:18 - mmengine - INFO - Epoch(train) [41][1120/1879] lr: 2.0000e-03 eta: 2:57:21 time: 0.5739 data_time: 0.0249 memory: 13723 grad_norm: 4.3819 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8980 loss: 0.8980 2022/08/09 06:29:29 - mmengine - INFO - Epoch(train) [41][1140/1879] lr: 2.0000e-03 eta: 2:57:09 time: 0.5645 data_time: 0.0264 memory: 13723 grad_norm: 4.2922 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9128 loss: 0.9128 2022/08/09 06:29:40 - mmengine - INFO - Epoch(train) [41][1160/1879] lr: 2.0000e-03 eta: 2:56:57 time: 0.5668 data_time: 0.0278 memory: 13723 grad_norm: 4.2407 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7518 loss: 0.7518 2022/08/09 06:29:52 - mmengine - INFO - Epoch(train) [41][1180/1879] lr: 2.0000e-03 eta: 2:56:44 time: 0.5649 data_time: 0.0252 memory: 13723 grad_norm: 4.2696 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8865 loss: 0.8865 2022/08/09 06:30:03 - mmengine - INFO - Epoch(train) [41][1200/1879] lr: 2.0000e-03 eta: 2:56:32 time: 0.5741 data_time: 0.0265 memory: 13723 grad_norm: 4.4172 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9842 loss: 0.9842 2022/08/09 06:30:16 - mmengine - INFO - Epoch(train) [41][1220/1879] lr: 2.0000e-03 eta: 2:56:20 time: 0.6176 data_time: 0.0248 memory: 13723 grad_norm: 4.2601 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8593 loss: 0.8593 2022/08/09 06:30:27 - mmengine - INFO - Epoch(train) [41][1240/1879] lr: 2.0000e-03 eta: 2:56:08 time: 0.5875 data_time: 0.0250 memory: 13723 grad_norm: 4.3596 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9532 loss: 0.9532 2022/08/09 06:30:39 - mmengine - INFO - Epoch(train) [41][1260/1879] lr: 2.0000e-03 eta: 2:55:56 time: 0.5904 data_time: 0.0283 memory: 13723 grad_norm: 4.3576 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9469 loss: 0.9469 2022/08/09 06:30:52 - mmengine - INFO - Epoch(train) [41][1280/1879] lr: 2.0000e-03 eta: 2:55:44 time: 0.6334 data_time: 0.0282 memory: 13723 grad_norm: 4.1882 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8468 loss: 0.8468 2022/08/09 06:31:03 - mmengine - INFO - Epoch(train) [41][1300/1879] lr: 2.0000e-03 eta: 2:55:32 time: 0.5779 data_time: 0.0242 memory: 13723 grad_norm: 4.2093 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8621 loss: 0.8621 2022/08/09 06:31:15 - mmengine - INFO - Epoch(train) [41][1320/1879] lr: 2.0000e-03 eta: 2:55:20 time: 0.5761 data_time: 0.0278 memory: 13723 grad_norm: 4.3608 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0665 loss: 1.0665 2022/08/09 06:31:26 - mmengine - INFO - Epoch(train) [41][1340/1879] lr: 2.0000e-03 eta: 2:55:08 time: 0.5682 data_time: 0.0251 memory: 13723 grad_norm: 4.2734 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0602 loss: 1.0602 2022/08/09 06:31:38 - mmengine - INFO - Epoch(train) [41][1360/1879] lr: 2.0000e-03 eta: 2:54:55 time: 0.5797 data_time: 0.0432 memory: 13723 grad_norm: 4.2469 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8637 loss: 0.8637 2022/08/09 06:31:49 - mmengine - INFO - Epoch(train) [41][1380/1879] lr: 2.0000e-03 eta: 2:54:43 time: 0.5626 data_time: 0.0245 memory: 13723 grad_norm: 4.2454 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9062 loss: 0.9062 2022/08/09 06:32:01 - mmengine - INFO - Epoch(train) [41][1400/1879] lr: 2.0000e-03 eta: 2:54:31 time: 0.5718 data_time: 0.0242 memory: 13723 grad_norm: 4.3929 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8072 loss: 0.8072 2022/08/09 06:32:12 - mmengine - INFO - Epoch(train) [41][1420/1879] lr: 2.0000e-03 eta: 2:54:19 time: 0.5650 data_time: 0.0250 memory: 13723 grad_norm: 4.3326 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0375 loss: 1.0375 2022/08/09 06:32:23 - mmengine - INFO - Epoch(train) [41][1440/1879] lr: 2.0000e-03 eta: 2:54:07 time: 0.5670 data_time: 0.0243 memory: 13723 grad_norm: 4.2377 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8770 loss: 0.8770 2022/08/09 06:32:35 - mmengine - INFO - Epoch(train) [41][1460/1879] lr: 2.0000e-03 eta: 2:53:55 time: 0.5751 data_time: 0.0272 memory: 13723 grad_norm: 4.3028 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9175 loss: 0.9175 2022/08/09 06:32:46 - mmengine - INFO - Epoch(train) [41][1480/1879] lr: 2.0000e-03 eta: 2:53:42 time: 0.5655 data_time: 0.0240 memory: 13723 grad_norm: 4.4276 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0372 loss: 1.0372 2022/08/09 06:32:58 - mmengine - INFO - Epoch(train) [41][1500/1879] lr: 2.0000e-03 eta: 2:53:30 time: 0.5735 data_time: 0.0276 memory: 13723 grad_norm: 4.5001 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0677 loss: 1.0677 2022/08/09 06:33:09 - mmengine - INFO - Epoch(train) [41][1520/1879] lr: 2.0000e-03 eta: 2:53:18 time: 0.5653 data_time: 0.0248 memory: 13723 grad_norm: 4.3316 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0142 loss: 1.0142 2022/08/09 06:33:20 - mmengine - INFO - Epoch(train) [41][1540/1879] lr: 2.0000e-03 eta: 2:53:06 time: 0.5735 data_time: 0.0257 memory: 13723 grad_norm: 4.0765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8738 loss: 0.8738 2022/08/09 06:33:32 - mmengine - INFO - Epoch(train) [41][1560/1879] lr: 2.0000e-03 eta: 2:52:54 time: 0.5701 data_time: 0.0269 memory: 13723 grad_norm: 4.1585 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8446 loss: 0.8446 2022/08/09 06:33:43 - mmengine - INFO - Epoch(train) [41][1580/1879] lr: 2.0000e-03 eta: 2:52:41 time: 0.5664 data_time: 0.0257 memory: 13723 grad_norm: 4.3468 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9953 loss: 0.9953 2022/08/09 06:33:54 - mmengine - INFO - Epoch(train) [41][1600/1879] lr: 2.0000e-03 eta: 2:52:29 time: 0.5654 data_time: 0.0269 memory: 13723 grad_norm: 4.2283 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8524 loss: 0.8524 2022/08/09 06:34:06 - mmengine - INFO - Epoch(train) [41][1620/1879] lr: 2.0000e-03 eta: 2:52:17 time: 0.5670 data_time: 0.0267 memory: 13723 grad_norm: 4.3918 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8818 loss: 0.8818 2022/08/09 06:34:18 - mmengine - INFO - Epoch(train) [41][1640/1879] lr: 2.0000e-03 eta: 2:52:05 time: 0.5891 data_time: 0.0480 memory: 13723 grad_norm: 4.2962 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9365 loss: 0.9365 2022/08/09 06:34:29 - mmengine - INFO - Epoch(train) [41][1660/1879] lr: 2.0000e-03 eta: 2:51:53 time: 0.5608 data_time: 0.0234 memory: 13723 grad_norm: 4.3780 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9188 loss: 0.9188 2022/08/09 06:34:40 - mmengine - INFO - Epoch(train) [41][1680/1879] lr: 2.0000e-03 eta: 2:51:40 time: 0.5675 data_time: 0.0272 memory: 13723 grad_norm: 4.5135 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1630 loss: 1.1630 2022/08/09 06:34:52 - mmengine - INFO - Epoch(train) [41][1700/1879] lr: 2.0000e-03 eta: 2:51:28 time: 0.5744 data_time: 0.0273 memory: 13723 grad_norm: 4.2471 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9366 loss: 0.9366 2022/08/09 06:35:03 - mmengine - INFO - Epoch(train) [41][1720/1879] lr: 2.0000e-03 eta: 2:51:16 time: 0.5638 data_time: 0.0265 memory: 13723 grad_norm: 4.2005 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8917 loss: 0.8917 2022/08/09 06:35:15 - mmengine - INFO - Epoch(train) [41][1740/1879] lr: 2.0000e-03 eta: 2:51:04 time: 0.6219 data_time: 0.0793 memory: 13723 grad_norm: 4.3344 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0773 loss: 1.0773 2022/08/09 06:35:28 - mmengine - INFO - Epoch(train) [41][1760/1879] lr: 2.0000e-03 eta: 2:50:52 time: 0.6220 data_time: 0.0666 memory: 13723 grad_norm: 4.2028 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8288 loss: 0.8288 2022/08/09 06:35:40 - mmengine - INFO - Epoch(train) [41][1780/1879] lr: 2.0000e-03 eta: 2:50:40 time: 0.5909 data_time: 0.0287 memory: 13723 grad_norm: 4.2873 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0198 loss: 1.0198 2022/08/09 06:35:51 - mmengine - INFO - Epoch(train) [41][1800/1879] lr: 2.0000e-03 eta: 2:50:28 time: 0.5888 data_time: 0.0253 memory: 13723 grad_norm: 4.2727 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8825 loss: 0.8825 2022/08/09 06:36:03 - mmengine - INFO - Epoch(train) [41][1820/1879] lr: 2.0000e-03 eta: 2:50:16 time: 0.5880 data_time: 0.0296 memory: 13723 grad_norm: 4.3154 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9636 loss: 0.9636 2022/08/09 06:36:15 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 06:36:15 - mmengine - INFO - Epoch(train) [41][1840/1879] lr: 2.0000e-03 eta: 2:50:04 time: 0.5867 data_time: 0.0220 memory: 13723 grad_norm: 4.3694 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0453 loss: 1.0453 2022/08/09 06:36:26 - mmengine - INFO - Epoch(train) [41][1860/1879] lr: 2.0000e-03 eta: 2:49:52 time: 0.5717 data_time: 0.0263 memory: 13723 grad_norm: 4.2411 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9458 loss: 0.9458 2022/08/09 06:36:37 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 06:36:37 - mmengine - INFO - Epoch(train) [41][1879/1879] lr: 2.0000e-03 eta: 2:49:52 time: 0.5460 data_time: 0.0191 memory: 13723 grad_norm: 4.3823 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9242 loss: 0.9242 2022/08/09 06:36:50 - mmengine - INFO - Epoch(val) [41][20/155] eta: 0:01:28 time: 0.6535 data_time: 0.5127 memory: 1829 2022/08/09 06:36:59 - mmengine - INFO - Epoch(val) [41][40/155] eta: 0:00:52 time: 0.4576 data_time: 0.3142 memory: 1829 2022/08/09 06:37:12 - mmengine - INFO - Epoch(val) [41][60/155] eta: 0:01:00 time: 0.6360 data_time: 0.4962 memory: 1829 2022/08/09 06:37:21 - mmengine - INFO - Epoch(val) [41][80/155] eta: 0:00:34 time: 0.4592 data_time: 0.3200 memory: 1829 2022/08/09 06:37:33 - mmengine - INFO - Epoch(val) [41][100/155] eta: 0:00:33 time: 0.6164 data_time: 0.4755 memory: 1829 2022/08/09 06:37:43 - mmengine - INFO - Epoch(val) [41][120/155] eta: 0:00:16 time: 0.4739 data_time: 0.3332 memory: 1829 2022/08/09 06:37:56 - mmengine - INFO - Epoch(val) [41][140/155] eta: 0:00:10 time: 0.6676 data_time: 0.5278 memory: 1829 2022/08/09 06:38:04 - mmengine - INFO - Epoch(val) [41][155/155] acc/top1: 0.7077 acc/top5: 0.8958 acc/mean1: 0.7075 2022/08/09 06:38:20 - mmengine - INFO - Epoch(train) [42][20/1879] lr: 2.0000e-03 eta: 2:49:27 time: 0.8275 data_time: 0.2203 memory: 13723 grad_norm: 4.2526 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0598 loss: 1.0598 2022/08/09 06:38:32 - mmengine - INFO - Epoch(train) [42][40/1879] lr: 2.0000e-03 eta: 2:49:14 time: 0.5765 data_time: 0.0274 memory: 13723 grad_norm: 4.2583 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9802 loss: 0.9802 2022/08/09 06:38:44 - mmengine - INFO - Epoch(train) [42][60/1879] lr: 2.0000e-03 eta: 2:49:02 time: 0.5868 data_time: 0.0264 memory: 13723 grad_norm: 4.2139 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9381 loss: 0.9381 2022/08/09 06:38:55 - mmengine - INFO - Epoch(train) [42][80/1879] lr: 2.0000e-03 eta: 2:48:50 time: 0.5779 data_time: 0.0261 memory: 13723 grad_norm: 4.2237 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8948 loss: 0.8948 2022/08/09 06:39:07 - mmengine - INFO - Epoch(train) [42][100/1879] lr: 2.0000e-03 eta: 2:48:38 time: 0.5721 data_time: 0.0276 memory: 13723 grad_norm: 4.4615 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0353 loss: 1.0353 2022/08/09 06:39:18 - mmengine - INFO - Epoch(train) [42][120/1879] lr: 2.0000e-03 eta: 2:48:26 time: 0.5691 data_time: 0.0266 memory: 13723 grad_norm: 4.1825 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7231 loss: 0.7231 2022/08/09 06:39:29 - mmengine - INFO - Epoch(train) [42][140/1879] lr: 2.0000e-03 eta: 2:48:14 time: 0.5652 data_time: 0.0239 memory: 13723 grad_norm: 4.1665 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8323 loss: 0.8323 2022/08/09 06:39:41 - mmengine - INFO - Epoch(train) [42][160/1879] lr: 2.0000e-03 eta: 2:48:01 time: 0.5672 data_time: 0.0252 memory: 13723 grad_norm: 4.3383 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9453 loss: 0.9453 2022/08/09 06:39:52 - mmengine - INFO - Epoch(train) [42][180/1879] lr: 2.0000e-03 eta: 2:47:49 time: 0.5718 data_time: 0.0257 memory: 13723 grad_norm: 4.1491 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9739 loss: 0.9739 2022/08/09 06:40:04 - mmengine - INFO - Epoch(train) [42][200/1879] lr: 2.0000e-03 eta: 2:47:37 time: 0.5767 data_time: 0.0272 memory: 13723 grad_norm: 4.2001 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9679 loss: 0.9679 2022/08/09 06:40:16 - mmengine - INFO - Epoch(train) [42][220/1879] lr: 2.0000e-03 eta: 2:47:25 time: 0.6077 data_time: 0.0619 memory: 13723 grad_norm: 4.2831 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9775 loss: 0.9775 2022/08/09 06:40:27 - mmengine - INFO - Epoch(train) [42][240/1879] lr: 2.0000e-03 eta: 2:47:13 time: 0.5775 data_time: 0.0280 memory: 13723 grad_norm: 4.3264 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9605 loss: 0.9605 2022/08/09 06:40:39 - mmengine - INFO - Epoch(train) [42][260/1879] lr: 2.0000e-03 eta: 2:47:01 time: 0.5908 data_time: 0.0264 memory: 13723 grad_norm: 4.2981 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8579 loss: 0.8579 2022/08/09 06:40:51 - mmengine - INFO - Epoch(train) [42][280/1879] lr: 2.0000e-03 eta: 2:46:49 time: 0.5744 data_time: 0.0258 memory: 13723 grad_norm: 4.3304 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8718 loss: 0.8718 2022/08/09 06:41:02 - mmengine - INFO - Epoch(train) [42][300/1879] lr: 2.0000e-03 eta: 2:46:37 time: 0.5717 data_time: 0.0268 memory: 13723 grad_norm: 4.3526 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9147 loss: 0.9147 2022/08/09 06:41:14 - mmengine - INFO - Epoch(train) [42][320/1879] lr: 2.0000e-03 eta: 2:46:24 time: 0.5720 data_time: 0.0257 memory: 13723 grad_norm: 4.2609 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.8376 loss: 0.8376 2022/08/09 06:41:25 - mmengine - INFO - Epoch(train) [42][340/1879] lr: 2.0000e-03 eta: 2:46:12 time: 0.5684 data_time: 0.0248 memory: 13723 grad_norm: 4.2772 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9056 loss: 0.9056 2022/08/09 06:41:36 - mmengine - INFO - Epoch(train) [42][360/1879] lr: 2.0000e-03 eta: 2:46:00 time: 0.5715 data_time: 0.0271 memory: 13723 grad_norm: 4.2742 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9792 loss: 0.9792 2022/08/09 06:41:48 - mmengine - INFO - Epoch(train) [42][380/1879] lr: 2.0000e-03 eta: 2:45:48 time: 0.5737 data_time: 0.0267 memory: 13723 grad_norm: 4.1637 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9400 loss: 0.9400 2022/08/09 06:41:59 - mmengine - INFO - Epoch(train) [42][400/1879] lr: 2.0000e-03 eta: 2:45:36 time: 0.5741 data_time: 0.0260 memory: 13723 grad_norm: 4.2712 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8509 loss: 0.8509 2022/08/09 06:42:11 - mmengine - INFO - Epoch(train) [42][420/1879] lr: 2.0000e-03 eta: 2:45:24 time: 0.5668 data_time: 0.0271 memory: 13723 grad_norm: 4.2621 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0120 loss: 1.0120 2022/08/09 06:42:22 - mmengine - INFO - Epoch(train) [42][440/1879] lr: 2.0000e-03 eta: 2:45:11 time: 0.5712 data_time: 0.0248 memory: 13723 grad_norm: 4.4448 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8439 loss: 0.8439 2022/08/09 06:42:34 - mmengine - INFO - Epoch(train) [42][460/1879] lr: 2.0000e-03 eta: 2:44:59 time: 0.5681 data_time: 0.0271 memory: 13723 grad_norm: 4.1952 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8407 loss: 0.8407 2022/08/09 06:42:45 - mmengine - INFO - Epoch(train) [42][480/1879] lr: 2.0000e-03 eta: 2:44:47 time: 0.5674 data_time: 0.0247 memory: 13723 grad_norm: 4.2275 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0061 loss: 1.0061 2022/08/09 06:42:56 - mmengine - INFO - Epoch(train) [42][500/1879] lr: 2.0000e-03 eta: 2:44:35 time: 0.5655 data_time: 0.0258 memory: 13723 grad_norm: 4.4033 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8839 loss: 0.8839 2022/08/09 06:43:08 - mmengine - INFO - Epoch(train) [42][520/1879] lr: 2.0000e-03 eta: 2:44:23 time: 0.5742 data_time: 0.0260 memory: 13723 grad_norm: 4.2965 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9464 loss: 0.9464 2022/08/09 06:43:19 - mmengine - INFO - Epoch(train) [42][540/1879] lr: 2.0000e-03 eta: 2:44:11 time: 0.5714 data_time: 0.0302 memory: 13723 grad_norm: 4.3047 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9861 loss: 0.9861 2022/08/09 06:43:31 - mmengine - INFO - Epoch(train) [42][560/1879] lr: 2.0000e-03 eta: 2:43:58 time: 0.5691 data_time: 0.0260 memory: 13723 grad_norm: 4.2063 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9222 loss: 0.9222 2022/08/09 06:43:42 - mmengine - INFO - Epoch(train) [42][580/1879] lr: 2.0000e-03 eta: 2:43:46 time: 0.5677 data_time: 0.0260 memory: 13723 grad_norm: 4.3032 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9905 loss: 0.9905 2022/08/09 06:43:54 - mmengine - INFO - Epoch(train) [42][600/1879] lr: 2.0000e-03 eta: 2:43:34 time: 0.5876 data_time: 0.0443 memory: 13723 grad_norm: 4.4962 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0335 loss: 1.0335 2022/08/09 06:44:06 - mmengine - INFO - Epoch(train) [42][620/1879] lr: 2.0000e-03 eta: 2:43:22 time: 0.6000 data_time: 0.0262 memory: 13723 grad_norm: 4.3006 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9088 loss: 0.9088 2022/08/09 06:44:17 - mmengine - INFO - Epoch(train) [42][640/1879] lr: 2.0000e-03 eta: 2:43:10 time: 0.5636 data_time: 0.0237 memory: 13723 grad_norm: 4.1891 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9396 loss: 0.9396 2022/08/09 06:44:28 - mmengine - INFO - Epoch(train) [42][660/1879] lr: 2.0000e-03 eta: 2:42:58 time: 0.5695 data_time: 0.0249 memory: 13723 grad_norm: 4.2232 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9230 loss: 0.9230 2022/08/09 06:44:40 - mmengine - INFO - Epoch(train) [42][680/1879] lr: 2.0000e-03 eta: 2:42:46 time: 0.5722 data_time: 0.0277 memory: 13723 grad_norm: 4.3300 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0025 loss: 1.0025 2022/08/09 06:44:51 - mmengine - INFO - Epoch(train) [42][700/1879] lr: 2.0000e-03 eta: 2:42:33 time: 0.5676 data_time: 0.0256 memory: 13723 grad_norm: 4.2510 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.9105 loss: 0.9105 2022/08/09 06:45:03 - mmengine - INFO - Epoch(train) [42][720/1879] lr: 2.0000e-03 eta: 2:42:21 time: 0.5698 data_time: 0.0282 memory: 13723 grad_norm: 4.2586 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7723 loss: 0.7723 2022/08/09 06:45:16 - mmengine - INFO - Epoch(train) [42][740/1879] lr: 2.0000e-03 eta: 2:42:09 time: 0.6430 data_time: 0.0227 memory: 13723 grad_norm: 4.3531 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0416 loss: 1.0416 2022/08/09 06:45:28 - mmengine - INFO - Epoch(train) [42][760/1879] lr: 2.0000e-03 eta: 2:41:57 time: 0.6268 data_time: 0.0511 memory: 13723 grad_norm: 4.3434 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0602 loss: 1.0602 2022/08/09 06:45:40 - mmengine - INFO - Epoch(train) [42][780/1879] lr: 2.0000e-03 eta: 2:41:45 time: 0.5942 data_time: 0.0292 memory: 13723 grad_norm: 4.2497 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8407 loss: 0.8407 2022/08/09 06:45:52 - mmengine - INFO - Epoch(train) [42][800/1879] lr: 2.0000e-03 eta: 2:41:33 time: 0.5928 data_time: 0.0279 memory: 13723 grad_norm: 4.3174 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9511 loss: 0.9511 2022/08/09 06:46:04 - mmengine - INFO - Epoch(train) [42][820/1879] lr: 2.0000e-03 eta: 2:41:21 time: 0.5902 data_time: 0.0270 memory: 13723 grad_norm: 4.2047 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9933 loss: 0.9933 2022/08/09 06:46:15 - mmengine - INFO - Epoch(train) [42][840/1879] lr: 2.0000e-03 eta: 2:41:09 time: 0.5911 data_time: 0.0261 memory: 13723 grad_norm: 4.3043 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9561 loss: 0.9561 2022/08/09 06:46:27 - mmengine - INFO - Epoch(train) [42][860/1879] lr: 2.0000e-03 eta: 2:40:57 time: 0.5706 data_time: 0.0240 memory: 13723 grad_norm: 4.3796 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9366 loss: 0.9366 2022/08/09 06:46:38 - mmengine - INFO - Epoch(train) [42][880/1879] lr: 2.0000e-03 eta: 2:40:45 time: 0.5662 data_time: 0.0242 memory: 13723 grad_norm: 4.3006 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7626 loss: 0.7626 2022/08/09 06:46:50 - mmengine - INFO - Epoch(train) [42][900/1879] lr: 2.0000e-03 eta: 2:40:33 time: 0.5635 data_time: 0.0257 memory: 13723 grad_norm: 4.3620 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7984 loss: 0.7984 2022/08/09 06:47:01 - mmengine - INFO - Epoch(train) [42][920/1879] lr: 2.0000e-03 eta: 2:40:20 time: 0.5695 data_time: 0.0250 memory: 13723 grad_norm: 4.2852 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7954 loss: 0.7954 2022/08/09 06:47:12 - mmengine - INFO - Epoch(train) [42][940/1879] lr: 2.0000e-03 eta: 2:40:08 time: 0.5676 data_time: 0.0249 memory: 13723 grad_norm: 4.3818 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8193 loss: 0.8193 2022/08/09 06:47:24 - mmengine - INFO - Epoch(train) [42][960/1879] lr: 2.0000e-03 eta: 2:39:56 time: 0.5727 data_time: 0.0280 memory: 13723 grad_norm: 4.2235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9153 loss: 0.9153 2022/08/09 06:47:24 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 06:47:35 - mmengine - INFO - Epoch(train) [42][980/1879] lr: 2.0000e-03 eta: 2:39:44 time: 0.5680 data_time: 0.0267 memory: 13723 grad_norm: 4.3598 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9644 loss: 0.9644 2022/08/09 06:47:47 - mmengine - INFO - Epoch(train) [42][1000/1879] lr: 2.0000e-03 eta: 2:39:32 time: 0.5850 data_time: 0.0260 memory: 13723 grad_norm: 4.2704 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9143 loss: 0.9143 2022/08/09 06:47:58 - mmengine - INFO - Epoch(train) [42][1020/1879] lr: 2.0000e-03 eta: 2:39:20 time: 0.5663 data_time: 0.0246 memory: 13723 grad_norm: 4.2679 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8780 loss: 0.8780 2022/08/09 06:48:10 - mmengine - INFO - Epoch(train) [42][1040/1879] lr: 2.0000e-03 eta: 2:39:07 time: 0.5685 data_time: 0.0259 memory: 13723 grad_norm: 4.3970 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9529 loss: 0.9529 2022/08/09 06:48:21 - mmengine - INFO - Epoch(train) [42][1060/1879] lr: 2.0000e-03 eta: 2:38:55 time: 0.5740 data_time: 0.0275 memory: 13723 grad_norm: 4.3154 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7870 loss: 0.7870 2022/08/09 06:48:32 - mmengine - INFO - Epoch(train) [42][1080/1879] lr: 2.0000e-03 eta: 2:38:43 time: 0.5708 data_time: 0.0273 memory: 13723 grad_norm: 4.2953 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8673 loss: 0.8673 2022/08/09 06:48:44 - mmengine - INFO - Epoch(train) [42][1100/1879] lr: 2.0000e-03 eta: 2:38:31 time: 0.5654 data_time: 0.0258 memory: 13723 grad_norm: 4.3674 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9454 loss: 0.9454 2022/08/09 06:48:55 - mmengine - INFO - Epoch(train) [42][1120/1879] lr: 2.0000e-03 eta: 2:38:19 time: 0.5671 data_time: 0.0248 memory: 13723 grad_norm: 4.3487 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9735 loss: 0.9735 2022/08/09 06:49:07 - mmengine - INFO - Epoch(train) [42][1140/1879] lr: 2.0000e-03 eta: 2:38:07 time: 0.5742 data_time: 0.0258 memory: 13723 grad_norm: 4.4668 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9620 loss: 0.9620 2022/08/09 06:49:18 - mmengine - INFO - Epoch(train) [42][1160/1879] lr: 2.0000e-03 eta: 2:37:55 time: 0.5681 data_time: 0.0276 memory: 13723 grad_norm: 4.3953 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9673 loss: 0.9673 2022/08/09 06:49:29 - mmengine - INFO - Epoch(train) [42][1180/1879] lr: 2.0000e-03 eta: 2:37:42 time: 0.5639 data_time: 0.0256 memory: 13723 grad_norm: 4.1936 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8462 loss: 0.8462 2022/08/09 06:49:41 - mmengine - INFO - Epoch(train) [42][1200/1879] lr: 2.0000e-03 eta: 2:37:30 time: 0.5746 data_time: 0.0268 memory: 13723 grad_norm: 4.1756 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7526 loss: 0.7526 2022/08/09 06:49:52 - mmengine - INFO - Epoch(train) [42][1220/1879] lr: 2.0000e-03 eta: 2:37:18 time: 0.5730 data_time: 0.0314 memory: 13723 grad_norm: 4.3600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9313 loss: 0.9313 2022/08/09 06:50:04 - mmengine - INFO - Epoch(train) [42][1240/1879] lr: 2.0000e-03 eta: 2:37:06 time: 0.5717 data_time: 0.0268 memory: 13723 grad_norm: 4.3957 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8337 loss: 0.8337 2022/08/09 06:50:17 - mmengine - INFO - Epoch(train) [42][1260/1879] lr: 2.0000e-03 eta: 2:36:54 time: 0.6445 data_time: 0.0972 memory: 13723 grad_norm: 4.1815 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8952 loss: 0.8952 2022/08/09 06:50:28 - mmengine - INFO - Epoch(train) [42][1280/1879] lr: 2.0000e-03 eta: 2:36:42 time: 0.5860 data_time: 0.0310 memory: 13723 grad_norm: 4.4485 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9302 loss: 0.9302 2022/08/09 06:50:40 - mmengine - INFO - Epoch(train) [42][1300/1879] lr: 2.0000e-03 eta: 2:36:30 time: 0.5850 data_time: 0.0276 memory: 13723 grad_norm: 4.3086 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8822 loss: 0.8822 2022/08/09 06:50:52 - mmengine - INFO - Epoch(train) [42][1320/1879] lr: 2.0000e-03 eta: 2:36:18 time: 0.6017 data_time: 0.0274 memory: 13723 grad_norm: 4.3278 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8504 loss: 0.8504 2022/08/09 06:51:04 - mmengine - INFO - Epoch(train) [42][1340/1879] lr: 2.0000e-03 eta: 2:36:06 time: 0.5751 data_time: 0.0274 memory: 13723 grad_norm: 4.3714 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9251 loss: 0.9251 2022/08/09 06:51:15 - mmengine - INFO - Epoch(train) [42][1360/1879] lr: 2.0000e-03 eta: 2:35:54 time: 0.5684 data_time: 0.0263 memory: 13723 grad_norm: 4.3574 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9521 loss: 0.9521 2022/08/09 06:51:27 - mmengine - INFO - Epoch(train) [42][1380/1879] lr: 2.0000e-03 eta: 2:35:41 time: 0.5776 data_time: 0.0281 memory: 13723 grad_norm: 4.4118 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0336 loss: 1.0336 2022/08/09 06:51:38 - mmengine - INFO - Epoch(train) [42][1400/1879] lr: 2.0000e-03 eta: 2:35:29 time: 0.5658 data_time: 0.0255 memory: 13723 grad_norm: 4.3474 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8340 loss: 0.8340 2022/08/09 06:51:49 - mmengine - INFO - Epoch(train) [42][1420/1879] lr: 2.0000e-03 eta: 2:35:17 time: 0.5667 data_time: 0.0252 memory: 13723 grad_norm: 4.3741 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9210 loss: 0.9210 2022/08/09 06:52:01 - mmengine - INFO - Epoch(train) [42][1440/1879] lr: 2.0000e-03 eta: 2:35:05 time: 0.5667 data_time: 0.0259 memory: 13723 grad_norm: 4.3508 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9033 loss: 0.9033 2022/08/09 06:52:12 - mmengine - INFO - Epoch(train) [42][1460/1879] lr: 2.0000e-03 eta: 2:34:53 time: 0.5682 data_time: 0.0276 memory: 13723 grad_norm: 4.5635 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8695 loss: 0.8695 2022/08/09 06:52:23 - mmengine - INFO - Epoch(train) [42][1480/1879] lr: 2.0000e-03 eta: 2:34:41 time: 0.5675 data_time: 0.0252 memory: 13723 grad_norm: 4.2505 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8477 loss: 0.8477 2022/08/09 06:52:35 - mmengine - INFO - Epoch(train) [42][1500/1879] lr: 2.0000e-03 eta: 2:34:28 time: 0.5673 data_time: 0.0272 memory: 13723 grad_norm: 4.4188 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9535 loss: 0.9535 2022/08/09 06:52:46 - mmengine - INFO - Epoch(train) [42][1520/1879] lr: 2.0000e-03 eta: 2:34:16 time: 0.5707 data_time: 0.0262 memory: 13723 grad_norm: 4.2009 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8237 loss: 0.8237 2022/08/09 06:52:57 - mmengine - INFO - Epoch(train) [42][1540/1879] lr: 2.0000e-03 eta: 2:34:04 time: 0.5697 data_time: 0.0246 memory: 13723 grad_norm: 4.3255 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0129 loss: 1.0129 2022/08/09 06:53:09 - mmengine - INFO - Epoch(train) [42][1560/1879] lr: 2.0000e-03 eta: 2:33:52 time: 0.5749 data_time: 0.0267 memory: 13723 grad_norm: 4.3252 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0619 loss: 1.0619 2022/08/09 06:53:20 - mmengine - INFO - Epoch(train) [42][1580/1879] lr: 2.0000e-03 eta: 2:33:40 time: 0.5636 data_time: 0.0272 memory: 13723 grad_norm: 4.3954 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8667 loss: 0.8667 2022/08/09 06:53:32 - mmengine - INFO - Epoch(train) [42][1600/1879] lr: 2.0000e-03 eta: 2:33:28 time: 0.5726 data_time: 0.0256 memory: 13723 grad_norm: 4.3622 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8934 loss: 0.8934 2022/08/09 06:53:43 - mmengine - INFO - Epoch(train) [42][1620/1879] lr: 2.0000e-03 eta: 2:33:15 time: 0.5657 data_time: 0.0264 memory: 13723 grad_norm: 4.3730 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9529 loss: 0.9529 2022/08/09 06:53:54 - mmengine - INFO - Epoch(train) [42][1640/1879] lr: 2.0000e-03 eta: 2:33:03 time: 0.5659 data_time: 0.0261 memory: 13723 grad_norm: 4.4571 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1610 loss: 1.1610 2022/08/09 06:54:06 - mmengine - INFO - Epoch(train) [42][1660/1879] lr: 2.0000e-03 eta: 2:32:51 time: 0.5677 data_time: 0.0263 memory: 13723 grad_norm: 4.2344 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7082 loss: 0.7082 2022/08/09 06:54:17 - mmengine - INFO - Epoch(train) [42][1680/1879] lr: 2.0000e-03 eta: 2:32:39 time: 0.5677 data_time: 0.0277 memory: 13723 grad_norm: 4.2134 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0960 loss: 1.0960 2022/08/09 06:54:29 - mmengine - INFO - Epoch(train) [42][1700/1879] lr: 2.0000e-03 eta: 2:32:27 time: 0.5721 data_time: 0.0276 memory: 13723 grad_norm: 4.3330 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9256 loss: 0.9256 2022/08/09 06:54:40 - mmengine - INFO - Epoch(train) [42][1720/1879] lr: 2.0000e-03 eta: 2:32:15 time: 0.5657 data_time: 0.0243 memory: 13723 grad_norm: 4.4764 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0095 loss: 1.0095 2022/08/09 06:54:51 - mmengine - INFO - Epoch(train) [42][1740/1879] lr: 2.0000e-03 eta: 2:32:03 time: 0.5776 data_time: 0.0270 memory: 13723 grad_norm: 4.3108 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0018 loss: 1.0018 2022/08/09 06:55:03 - mmengine - INFO - Epoch(train) [42][1760/1879] lr: 2.0000e-03 eta: 2:31:50 time: 0.5685 data_time: 0.0230 memory: 13723 grad_norm: 4.2880 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9470 loss: 0.9470 2022/08/09 06:55:16 - mmengine - INFO - Epoch(train) [42][1780/1879] lr: 2.0000e-03 eta: 2:31:39 time: 0.6521 data_time: 0.0407 memory: 13723 grad_norm: 4.2827 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8344 loss: 0.8344 2022/08/09 06:55:28 - mmengine - INFO - Epoch(train) [42][1800/1879] lr: 2.0000e-03 eta: 2:31:27 time: 0.5971 data_time: 0.0342 memory: 13723 grad_norm: 4.4164 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8555 loss: 0.8555 2022/08/09 06:55:40 - mmengine - INFO - Epoch(train) [42][1820/1879] lr: 2.0000e-03 eta: 2:31:14 time: 0.5885 data_time: 0.0315 memory: 13723 grad_norm: 4.4914 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9949 loss: 0.9949 2022/08/09 06:55:52 - mmengine - INFO - Epoch(train) [42][1840/1879] lr: 2.0000e-03 eta: 2:31:02 time: 0.5987 data_time: 0.0267 memory: 13723 grad_norm: 4.3090 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8286 loss: 0.8286 2022/08/09 06:56:04 - mmengine - INFO - Epoch(train) [42][1860/1879] lr: 2.0000e-03 eta: 2:30:50 time: 0.5985 data_time: 0.0273 memory: 13723 grad_norm: 4.2871 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7141 loss: 0.7141 2022/08/09 06:56:14 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 06:56:14 - mmengine - INFO - Epoch(train) [42][1879/1879] lr: 2.0000e-03 eta: 2:30:50 time: 0.5489 data_time: 0.0189 memory: 13723 grad_norm: 4.4634 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7714 loss: 0.7714 2022/08/09 06:56:14 - mmengine - INFO - Saving checkpoint at 42 epochs 2022/08/09 06:56:29 - mmengine - INFO - Epoch(val) [42][20/155] eta: 0:01:30 time: 0.6729 data_time: 0.5331 memory: 1829 2022/08/09 06:56:39 - mmengine - INFO - Epoch(val) [42][40/155] eta: 0:00:53 time: 0.4641 data_time: 0.3243 memory: 1829 2022/08/09 06:56:51 - mmengine - INFO - Epoch(val) [42][60/155] eta: 0:00:57 time: 0.6032 data_time: 0.4643 memory: 1829 2022/08/09 06:57:00 - mmengine - INFO - Epoch(val) [42][80/155] eta: 0:00:34 time: 0.4559 data_time: 0.3164 memory: 1829 2022/08/09 06:57:12 - mmengine - INFO - Epoch(val) [42][100/155] eta: 0:00:33 time: 0.6115 data_time: 0.4723 memory: 1829 2022/08/09 06:57:22 - mmengine - INFO - Epoch(val) [42][120/155] eta: 0:00:17 time: 0.5031 data_time: 0.3629 memory: 1829 2022/08/09 06:57:35 - mmengine - INFO - Epoch(val) [42][140/155] eta: 0:00:09 time: 0.6488 data_time: 0.5083 memory: 1829 2022/08/09 06:57:42 - mmengine - INFO - Epoch(val) [42][155/155] acc/top1: 0.7076 acc/top5: 0.8983 acc/mean1: 0.7075 2022/08/09 06:57:59 - mmengine - INFO - Epoch(train) [43][20/1879] lr: 2.0000e-03 eta: 2:30:26 time: 0.8230 data_time: 0.2344 memory: 13723 grad_norm: 4.3421 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9537 loss: 0.9537 2022/08/09 06:58:10 - mmengine - INFO - Epoch(train) [43][40/1879] lr: 2.0000e-03 eta: 2:30:14 time: 0.5766 data_time: 0.0264 memory: 13723 grad_norm: 4.3875 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8734 loss: 0.8734 2022/08/09 06:58:22 - mmengine - INFO - Epoch(train) [43][60/1879] lr: 2.0000e-03 eta: 2:30:01 time: 0.5882 data_time: 0.0303 memory: 13723 grad_norm: 4.3287 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0197 loss: 1.0197 2022/08/09 06:58:34 - mmengine - INFO - Epoch(train) [43][80/1879] lr: 2.0000e-03 eta: 2:29:49 time: 0.5803 data_time: 0.0261 memory: 13723 grad_norm: 4.2234 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0103 loss: 1.0103 2022/08/09 06:58:35 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 06:58:45 - mmengine - INFO - Epoch(train) [43][100/1879] lr: 2.0000e-03 eta: 2:29:37 time: 0.5706 data_time: 0.0253 memory: 13723 grad_norm: 4.3702 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8576 loss: 0.8576 2022/08/09 06:58:57 - mmengine - INFO - Epoch(train) [43][120/1879] lr: 2.0000e-03 eta: 2:29:25 time: 0.5702 data_time: 0.0279 memory: 13723 grad_norm: 4.1206 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6999 loss: 0.6999 2022/08/09 06:59:09 - mmengine - INFO - Epoch(train) [43][140/1879] lr: 2.0000e-03 eta: 2:29:13 time: 0.5978 data_time: 0.0493 memory: 13723 grad_norm: 4.3960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9812 loss: 0.9812 2022/08/09 06:59:20 - mmengine - INFO - Epoch(train) [43][160/1879] lr: 2.0000e-03 eta: 2:29:01 time: 0.5728 data_time: 0.0273 memory: 13723 grad_norm: 4.1905 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7303 loss: 0.7303 2022/08/09 06:59:32 - mmengine - INFO - Epoch(train) [43][180/1879] lr: 2.0000e-03 eta: 2:28:49 time: 0.5726 data_time: 0.0270 memory: 13723 grad_norm: 4.2946 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0125 loss: 1.0125 2022/08/09 06:59:43 - mmengine - INFO - Epoch(train) [43][200/1879] lr: 2.0000e-03 eta: 2:28:37 time: 0.5663 data_time: 0.0274 memory: 13723 grad_norm: 4.3798 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8973 loss: 0.8973 2022/08/09 06:59:54 - mmengine - INFO - Epoch(train) [43][220/1879] lr: 2.0000e-03 eta: 2:28:24 time: 0.5652 data_time: 0.0249 memory: 13723 grad_norm: 4.3394 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9534 loss: 0.9534 2022/08/09 07:00:06 - mmengine - INFO - Epoch(train) [43][240/1879] lr: 2.0000e-03 eta: 2:28:12 time: 0.5685 data_time: 0.0259 memory: 13723 grad_norm: 4.5687 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8575 loss: 0.8575 2022/08/09 07:00:19 - mmengine - INFO - Epoch(train) [43][260/1879] lr: 2.0000e-03 eta: 2:28:00 time: 0.6519 data_time: 0.0485 memory: 13723 grad_norm: 4.2479 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7680 loss: 0.7680 2022/08/09 07:00:30 - mmengine - INFO - Epoch(train) [43][280/1879] lr: 2.0000e-03 eta: 2:27:48 time: 0.5771 data_time: 0.0274 memory: 13723 grad_norm: 4.4201 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8539 loss: 0.8539 2022/08/09 07:00:42 - mmengine - INFO - Epoch(train) [43][300/1879] lr: 2.0000e-03 eta: 2:27:36 time: 0.5820 data_time: 0.0263 memory: 13723 grad_norm: 4.2501 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8548 loss: 0.8548 2022/08/09 07:00:54 - mmengine - INFO - Epoch(train) [43][320/1879] lr: 2.0000e-03 eta: 2:27:24 time: 0.5957 data_time: 0.0424 memory: 13723 grad_norm: 4.2524 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7363 loss: 0.7363 2022/08/09 07:01:05 - mmengine - INFO - Epoch(train) [43][340/1879] lr: 2.0000e-03 eta: 2:27:12 time: 0.5725 data_time: 0.0288 memory: 13723 grad_norm: 4.2327 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8653 loss: 0.8653 2022/08/09 07:01:17 - mmengine - INFO - Epoch(train) [43][360/1879] lr: 2.0000e-03 eta: 2:27:00 time: 0.5712 data_time: 0.0271 memory: 13723 grad_norm: 4.4021 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8815 loss: 0.8815 2022/08/09 07:01:28 - mmengine - INFO - Epoch(train) [43][380/1879] lr: 2.0000e-03 eta: 2:26:48 time: 0.5678 data_time: 0.0257 memory: 13723 grad_norm: 4.3880 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0227 loss: 1.0227 2022/08/09 07:01:39 - mmengine - INFO - Epoch(train) [43][400/1879] lr: 2.0000e-03 eta: 2:26:36 time: 0.5725 data_time: 0.0282 memory: 13723 grad_norm: 4.3610 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9221 loss: 0.9221 2022/08/09 07:01:51 - mmengine - INFO - Epoch(train) [43][420/1879] lr: 2.0000e-03 eta: 2:26:24 time: 0.5682 data_time: 0.0263 memory: 13723 grad_norm: 4.3638 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8853 loss: 0.8853 2022/08/09 07:02:02 - mmengine - INFO - Epoch(train) [43][440/1879] lr: 2.0000e-03 eta: 2:26:11 time: 0.5744 data_time: 0.0293 memory: 13723 grad_norm: 4.3820 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8750 loss: 0.8750 2022/08/09 07:02:14 - mmengine - INFO - Epoch(train) [43][460/1879] lr: 2.0000e-03 eta: 2:25:59 time: 0.5709 data_time: 0.0274 memory: 13723 grad_norm: 4.3974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8560 loss: 0.8560 2022/08/09 07:02:25 - mmengine - INFO - Epoch(train) [43][480/1879] lr: 2.0000e-03 eta: 2:25:47 time: 0.5715 data_time: 0.0254 memory: 13723 grad_norm: 4.4168 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0729 loss: 1.0729 2022/08/09 07:02:37 - mmengine - INFO - Epoch(train) [43][500/1879] lr: 2.0000e-03 eta: 2:25:35 time: 0.5695 data_time: 0.0248 memory: 13723 grad_norm: 4.3658 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7921 loss: 0.7921 2022/08/09 07:02:48 - mmengine - INFO - Epoch(train) [43][520/1879] lr: 2.0000e-03 eta: 2:25:23 time: 0.5724 data_time: 0.0266 memory: 13723 grad_norm: 4.2778 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9190 loss: 0.9190 2022/08/09 07:03:00 - mmengine - INFO - Epoch(train) [43][540/1879] lr: 2.0000e-03 eta: 2:25:11 time: 0.5715 data_time: 0.0259 memory: 13723 grad_norm: 4.2484 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7641 loss: 0.7641 2022/08/09 07:03:11 - mmengine - INFO - Epoch(train) [43][560/1879] lr: 2.0000e-03 eta: 2:24:59 time: 0.5663 data_time: 0.0249 memory: 13723 grad_norm: 4.3177 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0620 loss: 1.0620 2022/08/09 07:03:22 - mmengine - INFO - Epoch(train) [43][580/1879] lr: 2.0000e-03 eta: 2:24:46 time: 0.5678 data_time: 0.0271 memory: 13723 grad_norm: 4.3826 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8989 loss: 0.8989 2022/08/09 07:03:34 - mmengine - INFO - Epoch(train) [43][600/1879] lr: 2.0000e-03 eta: 2:24:34 time: 0.5668 data_time: 0.0260 memory: 13723 grad_norm: 4.2444 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7231 loss: 0.7231 2022/08/09 07:03:45 - mmengine - INFO - Epoch(train) [43][620/1879] lr: 2.0000e-03 eta: 2:24:22 time: 0.5660 data_time: 0.0254 memory: 13723 grad_norm: 4.2939 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0430 loss: 1.0430 2022/08/09 07:03:56 - mmengine - INFO - Epoch(train) [43][640/1879] lr: 2.0000e-03 eta: 2:24:10 time: 0.5692 data_time: 0.0287 memory: 13723 grad_norm: 4.2811 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8523 loss: 0.8523 2022/08/09 07:04:08 - mmengine - INFO - Epoch(train) [43][660/1879] lr: 2.0000e-03 eta: 2:23:58 time: 0.5678 data_time: 0.0262 memory: 13723 grad_norm: 4.2800 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9685 loss: 0.9685 2022/08/09 07:04:19 - mmengine - INFO - Epoch(train) [43][680/1879] lr: 2.0000e-03 eta: 2:23:46 time: 0.5682 data_time: 0.0249 memory: 13723 grad_norm: 4.4131 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9341 loss: 0.9341 2022/08/09 07:04:31 - mmengine - INFO - Epoch(train) [43][700/1879] lr: 2.0000e-03 eta: 2:23:34 time: 0.5730 data_time: 0.0287 memory: 13723 grad_norm: 4.4072 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9706 loss: 0.9706 2022/08/09 07:04:42 - mmengine - INFO - Epoch(train) [43][720/1879] lr: 2.0000e-03 eta: 2:23:21 time: 0.5665 data_time: 0.0235 memory: 13723 grad_norm: 4.4375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8714 loss: 0.8714 2022/08/09 07:04:53 - mmengine - INFO - Epoch(train) [43][740/1879] lr: 2.0000e-03 eta: 2:23:09 time: 0.5655 data_time: 0.0254 memory: 13723 grad_norm: 4.3955 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9248 loss: 0.9248 2022/08/09 07:05:05 - mmengine - INFO - Epoch(train) [43][760/1879] lr: 2.0000e-03 eta: 2:22:57 time: 0.5663 data_time: 0.0273 memory: 13723 grad_norm: 4.3128 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0302 loss: 1.0302 2022/08/09 07:05:16 - mmengine - INFO - Epoch(train) [43][780/1879] lr: 2.0000e-03 eta: 2:22:45 time: 0.5709 data_time: 0.0277 memory: 13723 grad_norm: 4.4768 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9443 loss: 0.9443 2022/08/09 07:05:28 - mmengine - INFO - Epoch(train) [43][800/1879] lr: 2.0000e-03 eta: 2:22:33 time: 0.5778 data_time: 0.0264 memory: 13723 grad_norm: 4.3975 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8522 loss: 0.8522 2022/08/09 07:05:39 - mmengine - INFO - Epoch(train) [43][820/1879] lr: 2.0000e-03 eta: 2:22:21 time: 0.5880 data_time: 0.0279 memory: 13723 grad_norm: 4.4240 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0397 loss: 1.0397 2022/08/09 07:05:51 - mmengine - INFO - Epoch(train) [43][840/1879] lr: 2.0000e-03 eta: 2:22:09 time: 0.5871 data_time: 0.0281 memory: 13723 grad_norm: 4.3499 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7909 loss: 0.7909 2022/08/09 07:06:02 - mmengine - INFO - Epoch(train) [43][860/1879] lr: 2.0000e-03 eta: 2:21:57 time: 0.5687 data_time: 0.0252 memory: 13723 grad_norm: 4.5030 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0940 loss: 1.0940 2022/08/09 07:06:14 - mmengine - INFO - Epoch(train) [43][880/1879] lr: 2.0000e-03 eta: 2:21:45 time: 0.5689 data_time: 0.0253 memory: 13723 grad_norm: 4.4075 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8435 loss: 0.8435 2022/08/09 07:06:25 - mmengine - INFO - Epoch(train) [43][900/1879] lr: 2.0000e-03 eta: 2:21:32 time: 0.5643 data_time: 0.0270 memory: 13723 grad_norm: 4.5867 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9827 loss: 0.9827 2022/08/09 07:06:37 - mmengine - INFO - Epoch(train) [43][920/1879] lr: 2.0000e-03 eta: 2:21:20 time: 0.5698 data_time: 0.0282 memory: 13723 grad_norm: 4.4170 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7733 loss: 0.7733 2022/08/09 07:06:48 - mmengine - INFO - Epoch(train) [43][940/1879] lr: 2.0000e-03 eta: 2:21:08 time: 0.5699 data_time: 0.0292 memory: 13723 grad_norm: 4.4593 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0843 loss: 1.0843 2022/08/09 07:06:59 - mmengine - INFO - Epoch(train) [43][960/1879] lr: 2.0000e-03 eta: 2:20:56 time: 0.5719 data_time: 0.0252 memory: 13723 grad_norm: 4.4398 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8609 loss: 0.8609 2022/08/09 07:07:11 - mmengine - INFO - Epoch(train) [43][980/1879] lr: 2.0000e-03 eta: 2:20:44 time: 0.5677 data_time: 0.0247 memory: 13723 grad_norm: 4.3416 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9273 loss: 0.9273 2022/08/09 07:07:22 - mmengine - INFO - Epoch(train) [43][1000/1879] lr: 2.0000e-03 eta: 2:20:32 time: 0.5686 data_time: 0.0262 memory: 13723 grad_norm: 4.4659 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.0374 loss: 1.0374 2022/08/09 07:07:33 - mmengine - INFO - Epoch(train) [43][1020/1879] lr: 2.0000e-03 eta: 2:20:20 time: 0.5645 data_time: 0.0249 memory: 13723 grad_norm: 4.4086 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8348 loss: 0.8348 2022/08/09 07:07:45 - mmengine - INFO - Epoch(train) [43][1040/1879] lr: 2.0000e-03 eta: 2:20:07 time: 0.5682 data_time: 0.0268 memory: 13723 grad_norm: 4.2720 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9214 loss: 0.9214 2022/08/09 07:07:56 - mmengine - INFO - Epoch(train) [43][1060/1879] lr: 2.0000e-03 eta: 2:19:55 time: 0.5665 data_time: 0.0266 memory: 13723 grad_norm: 4.3378 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8655 loss: 0.8655 2022/08/09 07:08:07 - mmengine - INFO - Epoch(train) [43][1080/1879] lr: 2.0000e-03 eta: 2:19:43 time: 0.5662 data_time: 0.0261 memory: 13723 grad_norm: 4.3805 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9395 loss: 0.9395 2022/08/09 07:08:09 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 07:08:19 - mmengine - INFO - Epoch(train) [43][1100/1879] lr: 2.0000e-03 eta: 2:19:31 time: 0.5690 data_time: 0.0242 memory: 13723 grad_norm: 4.3930 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9454 loss: 0.9454 2022/08/09 07:08:30 - mmengine - INFO - Epoch(train) [43][1120/1879] lr: 2.0000e-03 eta: 2:19:19 time: 0.5773 data_time: 0.0257 memory: 13723 grad_norm: 4.2691 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7265 loss: 0.7265 2022/08/09 07:08:42 - mmengine - INFO - Epoch(train) [43][1140/1879] lr: 2.0000e-03 eta: 2:19:07 time: 0.5760 data_time: 0.0262 memory: 13723 grad_norm: 4.4144 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9905 loss: 0.9905 2022/08/09 07:08:54 - mmengine - INFO - Epoch(train) [43][1160/1879] lr: 2.0000e-03 eta: 2:18:55 time: 0.5821 data_time: 0.0288 memory: 13723 grad_norm: 4.3434 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9803 loss: 0.9803 2022/08/09 07:09:05 - mmengine - INFO - Epoch(train) [43][1180/1879] lr: 2.0000e-03 eta: 2:18:43 time: 0.5846 data_time: 0.0254 memory: 13723 grad_norm: 4.4187 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9934 loss: 0.9934 2022/08/09 07:09:17 - mmengine - INFO - Epoch(train) [43][1200/1879] lr: 2.0000e-03 eta: 2:18:31 time: 0.5834 data_time: 0.0278 memory: 13723 grad_norm: 4.4073 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9401 loss: 0.9401 2022/08/09 07:09:28 - mmengine - INFO - Epoch(train) [43][1220/1879] lr: 2.0000e-03 eta: 2:18:18 time: 0.5734 data_time: 0.0235 memory: 13723 grad_norm: 4.2719 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8363 loss: 0.8363 2022/08/09 07:09:40 - mmengine - INFO - Epoch(train) [43][1240/1879] lr: 2.0000e-03 eta: 2:18:06 time: 0.5675 data_time: 0.0259 memory: 13723 grad_norm: 4.3500 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9456 loss: 0.9456 2022/08/09 07:09:51 - mmengine - INFO - Epoch(train) [43][1260/1879] lr: 2.0000e-03 eta: 2:17:54 time: 0.5679 data_time: 0.0254 memory: 13723 grad_norm: 4.5148 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0786 loss: 1.0786 2022/08/09 07:10:02 - mmengine - INFO - Epoch(train) [43][1280/1879] lr: 2.0000e-03 eta: 2:17:42 time: 0.5646 data_time: 0.0244 memory: 13723 grad_norm: 4.3994 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9064 loss: 0.9064 2022/08/09 07:10:14 - mmengine - INFO - Epoch(train) [43][1300/1879] lr: 2.0000e-03 eta: 2:17:30 time: 0.5701 data_time: 0.0277 memory: 13723 grad_norm: 4.5251 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9388 loss: 0.9388 2022/08/09 07:10:27 - mmengine - INFO - Epoch(train) [43][1320/1879] lr: 2.0000e-03 eta: 2:17:18 time: 0.6394 data_time: 0.0260 memory: 13723 grad_norm: 4.3967 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9678 loss: 0.9678 2022/08/09 07:10:39 - mmengine - INFO - Epoch(train) [43][1340/1879] lr: 2.0000e-03 eta: 2:17:06 time: 0.6030 data_time: 0.0295 memory: 13723 grad_norm: 4.5121 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8856 loss: 0.8856 2022/08/09 07:10:51 - mmengine - INFO - Epoch(train) [43][1360/1879] lr: 2.0000e-03 eta: 2:16:54 time: 0.5864 data_time: 0.0299 memory: 13723 grad_norm: 4.4833 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9283 loss: 0.9283 2022/08/09 07:11:02 - mmengine - INFO - Epoch(train) [43][1380/1879] lr: 2.0000e-03 eta: 2:16:42 time: 0.5846 data_time: 0.0261 memory: 13723 grad_norm: 4.3994 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9334 loss: 0.9334 2022/08/09 07:11:14 - mmengine - INFO - Epoch(train) [43][1400/1879] lr: 2.0000e-03 eta: 2:16:30 time: 0.5729 data_time: 0.0255 memory: 13723 grad_norm: 4.3858 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9367 loss: 0.9367 2022/08/09 07:11:25 - mmengine - INFO - Epoch(train) [43][1420/1879] lr: 2.0000e-03 eta: 2:16:18 time: 0.5651 data_time: 0.0248 memory: 13723 grad_norm: 4.4407 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9284 loss: 0.9284 2022/08/09 07:11:36 - mmengine - INFO - Epoch(train) [43][1440/1879] lr: 2.0000e-03 eta: 2:16:06 time: 0.5723 data_time: 0.0244 memory: 13723 grad_norm: 4.4956 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9869 loss: 0.9869 2022/08/09 07:11:48 - mmengine - INFO - Epoch(train) [43][1460/1879] lr: 2.0000e-03 eta: 2:15:53 time: 0.5629 data_time: 0.0251 memory: 13723 grad_norm: 4.4463 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8902 loss: 0.8902 2022/08/09 07:11:59 - mmengine - INFO - Epoch(train) [43][1480/1879] lr: 2.0000e-03 eta: 2:15:41 time: 0.5660 data_time: 0.0265 memory: 13723 grad_norm: 4.4125 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7663 loss: 0.7663 2022/08/09 07:12:11 - mmengine - INFO - Epoch(train) [43][1500/1879] lr: 2.0000e-03 eta: 2:15:29 time: 0.5725 data_time: 0.0270 memory: 13723 grad_norm: 4.3620 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8602 loss: 0.8602 2022/08/09 07:12:22 - mmengine - INFO - Epoch(train) [43][1520/1879] lr: 2.0000e-03 eta: 2:15:17 time: 0.5652 data_time: 0.0241 memory: 13723 grad_norm: 4.4613 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9055 loss: 0.9055 2022/08/09 07:12:33 - mmengine - INFO - Epoch(train) [43][1540/1879] lr: 2.0000e-03 eta: 2:15:05 time: 0.5736 data_time: 0.0280 memory: 13723 grad_norm: 4.3849 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9506 loss: 0.9506 2022/08/09 07:12:45 - mmengine - INFO - Epoch(train) [43][1560/1879] lr: 2.0000e-03 eta: 2:14:53 time: 0.5696 data_time: 0.0247 memory: 13723 grad_norm: 4.4459 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9008 loss: 0.9008 2022/08/09 07:12:56 - mmengine - INFO - Epoch(train) [43][1580/1879] lr: 2.0000e-03 eta: 2:14:41 time: 0.5708 data_time: 0.0279 memory: 13723 grad_norm: 4.2930 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7462 loss: 0.7462 2022/08/09 07:13:07 - mmengine - INFO - Epoch(train) [43][1600/1879] lr: 2.0000e-03 eta: 2:14:29 time: 0.5643 data_time: 0.0254 memory: 13723 grad_norm: 4.4232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0145 loss: 1.0145 2022/08/09 07:13:19 - mmengine - INFO - Epoch(train) [43][1620/1879] lr: 2.0000e-03 eta: 2:14:16 time: 0.5674 data_time: 0.0253 memory: 13723 grad_norm: 4.3652 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0097 loss: 1.0097 2022/08/09 07:13:30 - mmengine - INFO - Epoch(train) [43][1640/1879] lr: 2.0000e-03 eta: 2:14:04 time: 0.5689 data_time: 0.0255 memory: 13723 grad_norm: 4.3232 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9350 loss: 0.9350 2022/08/09 07:13:42 - mmengine - INFO - Epoch(train) [43][1660/1879] lr: 2.0000e-03 eta: 2:13:52 time: 0.5757 data_time: 0.0247 memory: 13723 grad_norm: 4.4786 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9177 loss: 0.9177 2022/08/09 07:13:53 - mmengine - INFO - Epoch(train) [43][1680/1879] lr: 2.0000e-03 eta: 2:13:40 time: 0.5700 data_time: 0.0250 memory: 13723 grad_norm: 4.3116 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9546 loss: 0.9546 2022/08/09 07:14:05 - mmengine - INFO - Epoch(train) [43][1700/1879] lr: 2.0000e-03 eta: 2:13:28 time: 0.5744 data_time: 0.0270 memory: 13723 grad_norm: 4.4034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7871 loss: 0.7871 2022/08/09 07:14:16 - mmengine - INFO - Epoch(train) [43][1720/1879] lr: 2.0000e-03 eta: 2:13:16 time: 0.5664 data_time: 0.0251 memory: 13723 grad_norm: 4.2029 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6917 loss: 0.6917 2022/08/09 07:14:27 - mmengine - INFO - Epoch(train) [43][1740/1879] lr: 2.0000e-03 eta: 2:13:04 time: 0.5696 data_time: 0.0258 memory: 13723 grad_norm: 4.4528 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8264 loss: 0.8264 2022/08/09 07:14:39 - mmengine - INFO - Epoch(train) [43][1760/1879] lr: 2.0000e-03 eta: 2:12:52 time: 0.5680 data_time: 0.0238 memory: 13723 grad_norm: 4.4102 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9124 loss: 0.9124 2022/08/09 07:14:50 - mmengine - INFO - Epoch(train) [43][1780/1879] lr: 2.0000e-03 eta: 2:12:40 time: 0.5700 data_time: 0.0269 memory: 13723 grad_norm: 4.5088 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9646 loss: 0.9646 2022/08/09 07:15:02 - mmengine - INFO - Epoch(train) [43][1800/1879] lr: 2.0000e-03 eta: 2:12:27 time: 0.5760 data_time: 0.0266 memory: 13723 grad_norm: 4.4089 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8563 loss: 0.8563 2022/08/09 07:15:13 - mmengine - INFO - Epoch(train) [43][1820/1879] lr: 2.0000e-03 eta: 2:12:15 time: 0.5616 data_time: 0.0247 memory: 13723 grad_norm: 4.6063 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9275 loss: 0.9275 2022/08/09 07:15:25 - mmengine - INFO - Epoch(train) [43][1840/1879] lr: 2.0000e-03 eta: 2:12:03 time: 0.5842 data_time: 0.0290 memory: 13723 grad_norm: 4.4768 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8020 loss: 0.8020 2022/08/09 07:15:36 - mmengine - INFO - Epoch(train) [43][1860/1879] lr: 2.0000e-03 eta: 2:11:51 time: 0.5847 data_time: 0.0265 memory: 13723 grad_norm: 4.2918 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.8305 loss: 0.8305 2022/08/09 07:15:47 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 07:15:47 - mmengine - INFO - Epoch(train) [43][1879/1879] lr: 2.0000e-03 eta: 2:11:51 time: 0.5496 data_time: 0.0200 memory: 13723 grad_norm: 4.4388 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8961 loss: 0.8961 2022/08/09 07:16:00 - mmengine - INFO - Epoch(val) [43][20/155] eta: 0:01:28 time: 0.6554 data_time: 0.5133 memory: 1829 2022/08/09 07:16:09 - mmengine - INFO - Epoch(val) [43][40/155] eta: 0:00:53 time: 0.4642 data_time: 0.3244 memory: 1829 2022/08/09 07:16:21 - mmengine - INFO - Epoch(val) [43][60/155] eta: 0:00:57 time: 0.6031 data_time: 0.4630 memory: 1829 2022/08/09 07:16:31 - mmengine - INFO - Epoch(val) [43][80/155] eta: 0:00:34 time: 0.4630 data_time: 0.3233 memory: 1829 2022/08/09 07:16:43 - mmengine - INFO - Epoch(val) [43][100/155] eta: 0:00:33 time: 0.6025 data_time: 0.4624 memory: 1829 2022/08/09 07:16:53 - mmengine - INFO - Epoch(val) [43][120/155] eta: 0:00:17 time: 0.5128 data_time: 0.3732 memory: 1829 2022/08/09 07:17:06 - mmengine - INFO - Epoch(val) [43][140/155] eta: 0:00:10 time: 0.6795 data_time: 0.5389 memory: 1829 2022/08/09 07:17:14 - mmengine - INFO - Epoch(val) [43][155/155] acc/top1: 0.7050 acc/top5: 0.8962 acc/mean1: 0.7048 2022/08/09 07:17:31 - mmengine - INFO - Epoch(train) [44][20/1879] lr: 2.0000e-03 eta: 2:11:27 time: 0.8513 data_time: 0.2375 memory: 13723 grad_norm: 4.3175 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7510 loss: 0.7510 2022/08/09 07:17:43 - mmengine - INFO - Epoch(train) [44][40/1879] lr: 2.0000e-03 eta: 2:11:15 time: 0.5883 data_time: 0.0267 memory: 13723 grad_norm: 4.3855 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9655 loss: 0.9655 2022/08/09 07:17:55 - mmengine - INFO - Epoch(train) [44][60/1879] lr: 2.0000e-03 eta: 2:11:03 time: 0.5916 data_time: 0.0295 memory: 13723 grad_norm: 4.3298 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9445 loss: 0.9445 2022/08/09 07:18:06 - mmengine - INFO - Epoch(train) [44][80/1879] lr: 2.0000e-03 eta: 2:10:51 time: 0.5829 data_time: 0.0248 memory: 13723 grad_norm: 4.3950 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8886 loss: 0.8886 2022/08/09 07:18:18 - mmengine - INFO - Epoch(train) [44][100/1879] lr: 2.0000e-03 eta: 2:10:38 time: 0.5830 data_time: 0.0247 memory: 13723 grad_norm: 4.3871 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9681 loss: 0.9681 2022/08/09 07:18:29 - mmengine - INFO - Epoch(train) [44][120/1879] lr: 2.0000e-03 eta: 2:10:26 time: 0.5712 data_time: 0.0256 memory: 13723 grad_norm: 4.3307 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8962 loss: 0.8962 2022/08/09 07:18:41 - mmengine - INFO - Epoch(train) [44][140/1879] lr: 2.0000e-03 eta: 2:10:14 time: 0.5708 data_time: 0.0331 memory: 13723 grad_norm: 4.4090 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9097 loss: 0.9097 2022/08/09 07:18:52 - mmengine - INFO - Epoch(train) [44][160/1879] lr: 2.0000e-03 eta: 2:10:02 time: 0.5679 data_time: 0.0251 memory: 13723 grad_norm: 4.3217 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8099 loss: 0.8099 2022/08/09 07:19:04 - mmengine - INFO - Epoch(train) [44][180/1879] lr: 2.0000e-03 eta: 2:09:50 time: 0.5730 data_time: 0.0282 memory: 13723 grad_norm: 4.3528 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0734 loss: 1.0734 2022/08/09 07:19:15 - mmengine - INFO - Epoch(train) [44][200/1879] lr: 2.0000e-03 eta: 2:09:38 time: 0.5692 data_time: 0.0274 memory: 13723 grad_norm: 4.2657 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8029 loss: 0.8029 2022/08/09 07:19:17 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 07:19:26 - mmengine - INFO - Epoch(train) [44][220/1879] lr: 2.0000e-03 eta: 2:09:26 time: 0.5664 data_time: 0.0260 memory: 13723 grad_norm: 4.4183 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9785 loss: 0.9785 2022/08/09 07:19:38 - mmengine - INFO - Epoch(train) [44][240/1879] lr: 2.0000e-03 eta: 2:09:14 time: 0.5689 data_time: 0.0257 memory: 13723 grad_norm: 4.3212 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9379 loss: 0.9379 2022/08/09 07:19:49 - mmengine - INFO - Epoch(train) [44][260/1879] lr: 2.0000e-03 eta: 2:09:02 time: 0.5690 data_time: 0.0277 memory: 13723 grad_norm: 4.5019 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9130 loss: 0.9130 2022/08/09 07:20:01 - mmengine - INFO - Epoch(train) [44][280/1879] lr: 2.0000e-03 eta: 2:08:50 time: 0.5940 data_time: 0.0246 memory: 13723 grad_norm: 4.3538 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0437 loss: 1.0437 2022/08/09 07:20:14 - mmengine - INFO - Epoch(train) [44][300/1879] lr: 2.0000e-03 eta: 2:08:38 time: 0.6401 data_time: 0.0456 memory: 13723 grad_norm: 4.2553 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9648 loss: 0.9648 2022/08/09 07:20:27 - mmengine - INFO - Epoch(train) [44][320/1879] lr: 2.0000e-03 eta: 2:08:26 time: 0.6586 data_time: 0.0974 memory: 13723 grad_norm: 4.3825 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8759 loss: 0.8759 2022/08/09 07:20:39 - mmengine - INFO - Epoch(train) [44][340/1879] lr: 2.0000e-03 eta: 2:08:14 time: 0.5862 data_time: 0.0277 memory: 13723 grad_norm: 4.4389 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9277 loss: 0.9277 2022/08/09 07:20:51 - mmengine - INFO - Epoch(train) [44][360/1879] lr: 2.0000e-03 eta: 2:08:02 time: 0.5885 data_time: 0.0263 memory: 13723 grad_norm: 4.4336 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9133 loss: 0.9133 2022/08/09 07:21:03 - mmengine - INFO - Epoch(train) [44][380/1879] lr: 2.0000e-03 eta: 2:07:50 time: 0.5943 data_time: 0.0313 memory: 13723 grad_norm: 4.3853 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8452 loss: 0.8452 2022/08/09 07:21:14 - mmengine - INFO - Epoch(train) [44][400/1879] lr: 2.0000e-03 eta: 2:07:38 time: 0.5873 data_time: 0.0253 memory: 13723 grad_norm: 4.2762 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7981 loss: 0.7981 2022/08/09 07:21:26 - mmengine - INFO - Epoch(train) [44][420/1879] lr: 2.0000e-03 eta: 2:07:26 time: 0.5768 data_time: 0.0270 memory: 13723 grad_norm: 4.4466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9675 loss: 0.9675 2022/08/09 07:21:37 - mmengine - INFO - Epoch(train) [44][440/1879] lr: 2.0000e-03 eta: 2:07:13 time: 0.5702 data_time: 0.0241 memory: 13723 grad_norm: 4.5473 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9153 loss: 0.9153 2022/08/09 07:21:49 - mmengine - INFO - Epoch(train) [44][460/1879] lr: 2.0000e-03 eta: 2:07:01 time: 0.5684 data_time: 0.0257 memory: 13723 grad_norm: 4.3497 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9360 loss: 0.9360 2022/08/09 07:22:00 - mmengine - INFO - Epoch(train) [44][480/1879] lr: 2.0000e-03 eta: 2:06:49 time: 0.5809 data_time: 0.0287 memory: 13723 grad_norm: 4.2973 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8221 loss: 0.8221 2022/08/09 07:22:12 - mmengine - INFO - Epoch(train) [44][500/1879] lr: 2.0000e-03 eta: 2:06:37 time: 0.5636 data_time: 0.0258 memory: 13723 grad_norm: 4.5254 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8883 loss: 0.8883 2022/08/09 07:22:23 - mmengine - INFO - Epoch(train) [44][520/1879] lr: 2.0000e-03 eta: 2:06:25 time: 0.5717 data_time: 0.0274 memory: 13723 grad_norm: 4.3962 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8845 loss: 0.8845 2022/08/09 07:22:34 - mmengine - INFO - Epoch(train) [44][540/1879] lr: 2.0000e-03 eta: 2:06:13 time: 0.5733 data_time: 0.0283 memory: 13723 grad_norm: 4.5228 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8322 loss: 0.8322 2022/08/09 07:22:46 - mmengine - INFO - Epoch(train) [44][560/1879] lr: 2.0000e-03 eta: 2:06:01 time: 0.5668 data_time: 0.0279 memory: 13723 grad_norm: 4.4895 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0273 loss: 1.0273 2022/08/09 07:22:57 - mmengine - INFO - Epoch(train) [44][580/1879] lr: 2.0000e-03 eta: 2:05:49 time: 0.5701 data_time: 0.0266 memory: 13723 grad_norm: 4.4455 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7469 loss: 0.7469 2022/08/09 07:23:09 - mmengine - INFO - Epoch(train) [44][600/1879] lr: 2.0000e-03 eta: 2:05:37 time: 0.5733 data_time: 0.0284 memory: 13723 grad_norm: 4.3681 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9168 loss: 0.9168 2022/08/09 07:23:20 - mmengine - INFO - Epoch(train) [44][620/1879] lr: 2.0000e-03 eta: 2:05:25 time: 0.5676 data_time: 0.0252 memory: 13723 grad_norm: 4.5433 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9182 loss: 0.9182 2022/08/09 07:23:31 - mmengine - INFO - Epoch(train) [44][640/1879] lr: 2.0000e-03 eta: 2:05:12 time: 0.5668 data_time: 0.0247 memory: 13723 grad_norm: 4.3736 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8582 loss: 0.8582 2022/08/09 07:23:43 - mmengine - INFO - Epoch(train) [44][660/1879] lr: 2.0000e-03 eta: 2:05:00 time: 0.5678 data_time: 0.0256 memory: 13723 grad_norm: 4.3226 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7048 loss: 0.7048 2022/08/09 07:23:54 - mmengine - INFO - Epoch(train) [44][680/1879] lr: 2.0000e-03 eta: 2:04:48 time: 0.5678 data_time: 0.0252 memory: 13723 grad_norm: 4.3997 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9049 loss: 0.9049 2022/08/09 07:24:05 - mmengine - INFO - Epoch(train) [44][700/1879] lr: 2.0000e-03 eta: 2:04:36 time: 0.5672 data_time: 0.0273 memory: 13723 grad_norm: 4.4874 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8136 loss: 0.8136 2022/08/09 07:24:17 - mmengine - INFO - Epoch(train) [44][720/1879] lr: 2.0000e-03 eta: 2:04:24 time: 0.5656 data_time: 0.0278 memory: 13723 grad_norm: 4.4060 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8337 loss: 0.8337 2022/08/09 07:24:28 - mmengine - INFO - Epoch(train) [44][740/1879] lr: 2.0000e-03 eta: 2:04:12 time: 0.5641 data_time: 0.0278 memory: 13723 grad_norm: 4.4517 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9356 loss: 0.9356 2022/08/09 07:24:39 - mmengine - INFO - Epoch(train) [44][760/1879] lr: 2.0000e-03 eta: 2:04:00 time: 0.5664 data_time: 0.0276 memory: 13723 grad_norm: 4.4690 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.9277 loss: 0.9277 2022/08/09 07:24:51 - mmengine - INFO - Epoch(train) [44][780/1879] lr: 2.0000e-03 eta: 2:03:48 time: 0.5670 data_time: 0.0244 memory: 13723 grad_norm: 4.3442 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9583 loss: 0.9583 2022/08/09 07:25:02 - mmengine - INFO - Epoch(train) [44][800/1879] lr: 2.0000e-03 eta: 2:03:36 time: 0.5696 data_time: 0.0284 memory: 13723 grad_norm: 4.4838 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8200 loss: 0.8200 2022/08/09 07:25:14 - mmengine - INFO - Epoch(train) [44][820/1879] lr: 2.0000e-03 eta: 2:03:24 time: 0.5905 data_time: 0.0364 memory: 13723 grad_norm: 4.2603 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8311 loss: 0.8311 2022/08/09 07:25:26 - mmengine - INFO - Epoch(train) [44][840/1879] lr: 2.0000e-03 eta: 2:03:11 time: 0.5771 data_time: 0.0251 memory: 13723 grad_norm: 4.5295 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7418 loss: 0.7418 2022/08/09 07:25:37 - mmengine - INFO - Epoch(train) [44][860/1879] lr: 2.0000e-03 eta: 2:02:59 time: 0.5671 data_time: 0.0259 memory: 13723 grad_norm: 4.5659 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9020 loss: 0.9020 2022/08/09 07:25:48 - mmengine - INFO - Epoch(train) [44][880/1879] lr: 2.0000e-03 eta: 2:02:47 time: 0.5735 data_time: 0.0270 memory: 13723 grad_norm: 4.4629 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9102 loss: 0.9102 2022/08/09 07:26:00 - mmengine - INFO - Epoch(train) [44][900/1879] lr: 2.0000e-03 eta: 2:02:35 time: 0.5670 data_time: 0.0273 memory: 13723 grad_norm: 4.3823 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7774 loss: 0.7774 2022/08/09 07:26:11 - mmengine - INFO - Epoch(train) [44][920/1879] lr: 2.0000e-03 eta: 2:02:23 time: 0.5681 data_time: 0.0267 memory: 13723 grad_norm: 4.3843 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8713 loss: 0.8713 2022/08/09 07:26:23 - mmengine - INFO - Epoch(train) [44][940/1879] lr: 2.0000e-03 eta: 2:02:11 time: 0.5708 data_time: 0.0289 memory: 13723 grad_norm: 4.4875 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9157 loss: 0.9157 2022/08/09 07:26:34 - mmengine - INFO - Epoch(train) [44][960/1879] lr: 2.0000e-03 eta: 2:01:59 time: 0.5623 data_time: 0.0247 memory: 13723 grad_norm: 4.3268 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9000 loss: 0.9000 2022/08/09 07:26:45 - mmengine - INFO - Epoch(train) [44][980/1879] lr: 2.0000e-03 eta: 2:01:47 time: 0.5703 data_time: 0.0265 memory: 13723 grad_norm: 4.4810 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9911 loss: 0.9911 2022/08/09 07:26:56 - mmengine - INFO - Epoch(train) [44][1000/1879] lr: 2.0000e-03 eta: 2:01:35 time: 0.5618 data_time: 0.0240 memory: 13723 grad_norm: 4.4562 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9279 loss: 0.9279 2022/08/09 07:27:08 - mmengine - INFO - Epoch(train) [44][1020/1879] lr: 2.0000e-03 eta: 2:01:23 time: 0.5690 data_time: 0.0257 memory: 13723 grad_norm: 4.4271 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8944 loss: 0.8944 2022/08/09 07:27:19 - mmengine - INFO - Epoch(train) [44][1040/1879] lr: 2.0000e-03 eta: 2:01:10 time: 0.5658 data_time: 0.0248 memory: 13723 grad_norm: 4.3089 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8881 loss: 0.8881 2022/08/09 07:27:31 - mmengine - INFO - Epoch(train) [44][1060/1879] lr: 2.0000e-03 eta: 2:00:58 time: 0.5670 data_time: 0.0260 memory: 13723 grad_norm: 4.3986 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9175 loss: 0.9175 2022/08/09 07:27:42 - mmengine - INFO - Epoch(train) [44][1080/1879] lr: 2.0000e-03 eta: 2:00:46 time: 0.5712 data_time: 0.0266 memory: 13723 grad_norm: 4.4356 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9067 loss: 0.9067 2022/08/09 07:27:53 - mmengine - INFO - Epoch(train) [44][1100/1879] lr: 2.0000e-03 eta: 2:00:34 time: 0.5645 data_time: 0.0255 memory: 13723 grad_norm: 4.3750 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6923 loss: 0.6923 2022/08/09 07:28:05 - mmengine - INFO - Epoch(train) [44][1120/1879] lr: 2.0000e-03 eta: 2:00:22 time: 0.5713 data_time: 0.0278 memory: 13723 grad_norm: 4.3902 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8676 loss: 0.8676 2022/08/09 07:28:16 - mmengine - INFO - Epoch(train) [44][1140/1879] lr: 2.0000e-03 eta: 2:00:10 time: 0.5652 data_time: 0.0250 memory: 13723 grad_norm: 4.3343 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8019 loss: 0.8019 2022/08/09 07:28:27 - mmengine - INFO - Epoch(train) [44][1160/1879] lr: 2.0000e-03 eta: 1:59:58 time: 0.5679 data_time: 0.0262 memory: 13723 grad_norm: 4.4757 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8620 loss: 0.8620 2022/08/09 07:28:39 - mmengine - INFO - Epoch(train) [44][1180/1879] lr: 2.0000e-03 eta: 1:59:46 time: 0.5639 data_time: 0.0245 memory: 13723 grad_norm: 4.4116 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8404 loss: 0.8404 2022/08/09 07:28:50 - mmengine - INFO - Epoch(train) [44][1200/1879] lr: 2.0000e-03 eta: 1:59:34 time: 0.5678 data_time: 0.0248 memory: 13723 grad_norm: 4.5145 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0619 loss: 1.0619 2022/08/09 07:28:52 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 07:29:01 - mmengine - INFO - Epoch(train) [44][1220/1879] lr: 2.0000e-03 eta: 1:59:22 time: 0.5690 data_time: 0.0266 memory: 13723 grad_norm: 4.1982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9212 loss: 0.9212 2022/08/09 07:29:13 - mmengine - INFO - Epoch(train) [44][1240/1879] lr: 2.0000e-03 eta: 1:59:09 time: 0.5802 data_time: 0.0235 memory: 13723 grad_norm: 4.4627 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9896 loss: 0.9896 2022/08/09 07:29:24 - mmengine - INFO - Epoch(train) [44][1260/1879] lr: 2.0000e-03 eta: 1:58:57 time: 0.5662 data_time: 0.0241 memory: 13723 grad_norm: 4.4142 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9724 loss: 0.9724 2022/08/09 07:29:36 - mmengine - INFO - Epoch(train) [44][1280/1879] lr: 2.0000e-03 eta: 1:58:45 time: 0.5699 data_time: 0.0264 memory: 13723 grad_norm: 4.4178 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9733 loss: 0.9733 2022/08/09 07:29:47 - mmengine - INFO - Epoch(train) [44][1300/1879] lr: 2.0000e-03 eta: 1:58:33 time: 0.5673 data_time: 0.0242 memory: 13723 grad_norm: 4.5230 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9530 loss: 0.9530 2022/08/09 07:29:59 - mmengine - INFO - Epoch(train) [44][1320/1879] lr: 2.0000e-03 eta: 1:58:21 time: 0.5679 data_time: 0.0308 memory: 13723 grad_norm: 4.5175 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9076 loss: 0.9076 2022/08/09 07:30:11 - mmengine - INFO - Epoch(train) [44][1340/1879] lr: 2.0000e-03 eta: 1:58:09 time: 0.6158 data_time: 0.0279 memory: 13723 grad_norm: 4.5102 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8526 loss: 0.8526 2022/08/09 07:30:22 - mmengine - INFO - Epoch(train) [44][1360/1879] lr: 2.0000e-03 eta: 1:57:57 time: 0.5757 data_time: 0.0257 memory: 13723 grad_norm: 4.5732 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7446 loss: 0.7446 2022/08/09 07:30:34 - mmengine - INFO - Epoch(train) [44][1380/1879] lr: 2.0000e-03 eta: 1:57:45 time: 0.5764 data_time: 0.0270 memory: 13723 grad_norm: 4.4650 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9822 loss: 0.9822 2022/08/09 07:30:46 - mmengine - INFO - Epoch(train) [44][1400/1879] lr: 2.0000e-03 eta: 1:57:33 time: 0.5778 data_time: 0.0268 memory: 13723 grad_norm: 4.3443 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8430 loss: 0.8430 2022/08/09 07:30:57 - mmengine - INFO - Epoch(train) [44][1420/1879] lr: 2.0000e-03 eta: 1:57:21 time: 0.5825 data_time: 0.0281 memory: 13723 grad_norm: 4.4921 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8487 loss: 0.8487 2022/08/09 07:31:09 - mmengine - INFO - Epoch(train) [44][1440/1879] lr: 2.0000e-03 eta: 1:57:09 time: 0.5812 data_time: 0.0267 memory: 13723 grad_norm: 4.6202 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9899 loss: 0.9899 2022/08/09 07:31:20 - mmengine - INFO - Epoch(train) [44][1460/1879] lr: 2.0000e-03 eta: 1:56:57 time: 0.5810 data_time: 0.0260 memory: 13723 grad_norm: 4.3202 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9902 loss: 0.9902 2022/08/09 07:31:32 - mmengine - INFO - Epoch(train) [44][1480/1879] lr: 2.0000e-03 eta: 1:56:45 time: 0.5674 data_time: 0.0249 memory: 13723 grad_norm: 4.4831 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8535 loss: 0.8535 2022/08/09 07:31:43 - mmengine - INFO - Epoch(train) [44][1500/1879] lr: 2.0000e-03 eta: 1:56:33 time: 0.5662 data_time: 0.0254 memory: 13723 grad_norm: 4.4460 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8990 loss: 0.8990 2022/08/09 07:31:55 - mmengine - INFO - Epoch(train) [44][1520/1879] lr: 2.0000e-03 eta: 1:56:20 time: 0.5683 data_time: 0.0285 memory: 13723 grad_norm: 4.4782 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9820 loss: 0.9820 2022/08/09 07:32:06 - mmengine - INFO - Epoch(train) [44][1540/1879] lr: 2.0000e-03 eta: 1:56:08 time: 0.5693 data_time: 0.0282 memory: 13723 grad_norm: 4.5424 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8953 loss: 0.8953 2022/08/09 07:32:17 - mmengine - INFO - Epoch(train) [44][1560/1879] lr: 2.0000e-03 eta: 1:55:56 time: 0.5684 data_time: 0.0277 memory: 13723 grad_norm: 4.4741 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8850 loss: 0.8850 2022/08/09 07:32:29 - mmengine - INFO - Epoch(train) [44][1580/1879] lr: 2.0000e-03 eta: 1:55:44 time: 0.5648 data_time: 0.0265 memory: 13723 grad_norm: 4.5471 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8712 loss: 0.8712 2022/08/09 07:32:40 - mmengine - INFO - Epoch(train) [44][1600/1879] lr: 2.0000e-03 eta: 1:55:32 time: 0.5749 data_time: 0.0290 memory: 13723 grad_norm: 4.4682 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9733 loss: 0.9733 2022/08/09 07:32:51 - mmengine - INFO - Epoch(train) [44][1620/1879] lr: 2.0000e-03 eta: 1:55:20 time: 0.5686 data_time: 0.0275 memory: 13723 grad_norm: 4.6243 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0623 loss: 1.0623 2022/08/09 07:33:03 - mmengine - INFO - Epoch(train) [44][1640/1879] lr: 2.0000e-03 eta: 1:55:08 time: 0.5740 data_time: 0.0257 memory: 13723 grad_norm: 4.4113 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8324 loss: 0.8324 2022/08/09 07:33:14 - mmengine - INFO - Epoch(train) [44][1660/1879] lr: 2.0000e-03 eta: 1:54:56 time: 0.5613 data_time: 0.0287 memory: 13723 grad_norm: 4.4983 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9793 loss: 0.9793 2022/08/09 07:33:26 - mmengine - INFO - Epoch(train) [44][1680/1879] lr: 2.0000e-03 eta: 1:54:44 time: 0.5718 data_time: 0.0266 memory: 13723 grad_norm: 4.3909 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9996 loss: 0.9996 2022/08/09 07:33:37 - mmengine - INFO - Epoch(train) [44][1700/1879] lr: 2.0000e-03 eta: 1:54:32 time: 0.5692 data_time: 0.0271 memory: 13723 grad_norm: 4.5800 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9358 loss: 0.9358 2022/08/09 07:33:48 - mmengine - INFO - Epoch(train) [44][1720/1879] lr: 2.0000e-03 eta: 1:54:20 time: 0.5687 data_time: 0.0260 memory: 13723 grad_norm: 4.5153 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9294 loss: 0.9294 2022/08/09 07:34:00 - mmengine - INFO - Epoch(train) [44][1740/1879] lr: 2.0000e-03 eta: 1:54:07 time: 0.5674 data_time: 0.0264 memory: 13723 grad_norm: 4.5293 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9292 loss: 0.9292 2022/08/09 07:34:11 - mmengine - INFO - Epoch(train) [44][1760/1879] lr: 2.0000e-03 eta: 1:53:55 time: 0.5679 data_time: 0.0250 memory: 13723 grad_norm: 4.5235 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7728 loss: 0.7728 2022/08/09 07:34:23 - mmengine - INFO - Epoch(train) [44][1780/1879] lr: 2.0000e-03 eta: 1:53:43 time: 0.5705 data_time: 0.0286 memory: 13723 grad_norm: 4.5096 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9921 loss: 0.9921 2022/08/09 07:34:34 - mmengine - INFO - Epoch(train) [44][1800/1879] lr: 2.0000e-03 eta: 1:53:31 time: 0.5747 data_time: 0.0269 memory: 13723 grad_norm: 4.4370 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9431 loss: 0.9431 2022/08/09 07:34:45 - mmengine - INFO - Epoch(train) [44][1820/1879] lr: 2.0000e-03 eta: 1:53:19 time: 0.5664 data_time: 0.0236 memory: 13723 grad_norm: 4.5253 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8104 loss: 0.8104 2022/08/09 07:34:57 - mmengine - INFO - Epoch(train) [44][1840/1879] lr: 2.0000e-03 eta: 1:53:07 time: 0.5896 data_time: 0.0528 memory: 13723 grad_norm: 4.5798 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8617 loss: 0.8617 2022/08/09 07:35:09 - mmengine - INFO - Epoch(train) [44][1860/1879] lr: 2.0000e-03 eta: 1:52:55 time: 0.5631 data_time: 0.0209 memory: 13723 grad_norm: 4.5829 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0482 loss: 1.0482 2022/08/09 07:35:19 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 07:35:19 - mmengine - INFO - Epoch(train) [44][1879/1879] lr: 2.0000e-03 eta: 1:52:55 time: 0.5511 data_time: 0.0214 memory: 13723 grad_norm: 4.6253 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9177 loss: 0.9177 2022/08/09 07:35:32 - mmengine - INFO - Epoch(val) [44][20/155] eta: 0:01:29 time: 0.6621 data_time: 0.5219 memory: 1829 2022/08/09 07:35:42 - mmengine - INFO - Epoch(val) [44][40/155] eta: 0:00:53 time: 0.4674 data_time: 0.3273 memory: 1829 2022/08/09 07:35:54 - mmengine - INFO - Epoch(val) [44][60/155] eta: 0:00:59 time: 0.6261 data_time: 0.4863 memory: 1829 2022/08/09 07:36:03 - mmengine - INFO - Epoch(val) [44][80/155] eta: 0:00:32 time: 0.4375 data_time: 0.2980 memory: 1829 2022/08/09 07:36:15 - mmengine - INFO - Epoch(val) [44][100/155] eta: 0:00:34 time: 0.6183 data_time: 0.4788 memory: 1829 2022/08/09 07:36:25 - mmengine - INFO - Epoch(val) [44][120/155] eta: 0:00:17 time: 0.5047 data_time: 0.3652 memory: 1829 2022/08/09 07:36:39 - mmengine - INFO - Epoch(val) [44][140/155] eta: 0:00:09 time: 0.6603 data_time: 0.5196 memory: 1829 2022/08/09 07:36:46 - mmengine - INFO - Epoch(val) [44][155/155] acc/top1: 0.7092 acc/top5: 0.8970 acc/mean1: 0.7091 2022/08/09 07:37:03 - mmengine - INFO - Epoch(train) [45][20/1879] lr: 2.0000e-03 eta: 1:52:31 time: 0.8262 data_time: 0.2508 memory: 13723 grad_norm: 4.3939 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8521 loss: 0.8521 2022/08/09 07:37:14 - mmengine - INFO - Epoch(train) [45][40/1879] lr: 2.0000e-03 eta: 1:52:19 time: 0.5709 data_time: 0.0258 memory: 13723 grad_norm: 4.2908 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.8587 loss: 0.8587 2022/08/09 07:37:26 - mmengine - INFO - Epoch(train) [45][60/1879] lr: 2.0000e-03 eta: 1:52:07 time: 0.5853 data_time: 0.0296 memory: 13723 grad_norm: 4.4167 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7817 loss: 0.7817 2022/08/09 07:37:37 - mmengine - INFO - Epoch(train) [45][80/1879] lr: 2.0000e-03 eta: 1:51:55 time: 0.5734 data_time: 0.0250 memory: 13723 grad_norm: 4.3878 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8764 loss: 0.8764 2022/08/09 07:37:49 - mmengine - INFO - Epoch(train) [45][100/1879] lr: 2.0000e-03 eta: 1:51:42 time: 0.5806 data_time: 0.0279 memory: 13723 grad_norm: 4.5544 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7776 loss: 0.7776 2022/08/09 07:38:00 - mmengine - INFO - Epoch(train) [45][120/1879] lr: 2.0000e-03 eta: 1:51:30 time: 0.5736 data_time: 0.0259 memory: 13723 grad_norm: 4.3149 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7638 loss: 0.7638 2022/08/09 07:38:12 - mmengine - INFO - Epoch(train) [45][140/1879] lr: 2.0000e-03 eta: 1:51:18 time: 0.5707 data_time: 0.0264 memory: 13723 grad_norm: 4.4418 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7767 loss: 0.7767 2022/08/09 07:38:23 - mmengine - INFO - Epoch(train) [45][160/1879] lr: 2.0000e-03 eta: 1:51:06 time: 0.5742 data_time: 0.0259 memory: 13723 grad_norm: 4.3267 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8606 loss: 0.8606 2022/08/09 07:38:35 - mmengine - INFO - Epoch(train) [45][180/1879] lr: 2.0000e-03 eta: 1:50:54 time: 0.5699 data_time: 0.0276 memory: 13723 grad_norm: 4.3568 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0784 loss: 1.0784 2022/08/09 07:38:46 - mmengine - INFO - Epoch(train) [45][200/1879] lr: 2.0000e-03 eta: 1:50:42 time: 0.5660 data_time: 0.0264 memory: 13723 grad_norm: 4.4861 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7519 loss: 0.7519 2022/08/09 07:38:58 - mmengine - INFO - Epoch(train) [45][220/1879] lr: 2.0000e-03 eta: 1:50:30 time: 0.5719 data_time: 0.0272 memory: 13723 grad_norm: 4.2797 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7780 loss: 0.7780 2022/08/09 07:39:09 - mmengine - INFO - Epoch(train) [45][240/1879] lr: 2.0000e-03 eta: 1:50:18 time: 0.5733 data_time: 0.0263 memory: 13723 grad_norm: 4.3921 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7881 loss: 0.7881 2022/08/09 07:39:21 - mmengine - INFO - Epoch(train) [45][260/1879] lr: 2.0000e-03 eta: 1:50:06 time: 0.5732 data_time: 0.0251 memory: 13723 grad_norm: 4.4496 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8721 loss: 0.8721 2022/08/09 07:39:32 - mmengine - INFO - Epoch(train) [45][280/1879] lr: 2.0000e-03 eta: 1:49:54 time: 0.5750 data_time: 0.0270 memory: 13723 grad_norm: 4.4477 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8922 loss: 0.8922 2022/08/09 07:39:44 - mmengine - INFO - Epoch(train) [45][300/1879] lr: 2.0000e-03 eta: 1:49:42 time: 0.5797 data_time: 0.0297 memory: 13723 grad_norm: 4.4854 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8523 loss: 0.8523 2022/08/09 07:39:55 - mmengine - INFO - Epoch(train) [45][320/1879] lr: 2.0000e-03 eta: 1:49:30 time: 0.5688 data_time: 0.0264 memory: 13723 grad_norm: 4.3743 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8938 loss: 0.8938 2022/08/09 07:39:57 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 07:40:06 - mmengine - INFO - Epoch(train) [45][340/1879] lr: 2.0000e-03 eta: 1:49:18 time: 0.5602 data_time: 0.0251 memory: 13723 grad_norm: 4.3920 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9466 loss: 0.9466 2022/08/09 07:40:19 - mmengine - INFO - Epoch(train) [45][360/1879] lr: 2.0000e-03 eta: 1:49:06 time: 0.6577 data_time: 0.0555 memory: 13723 grad_norm: 4.4059 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7990 loss: 0.7990 2022/08/09 07:40:32 - mmengine - INFO - Epoch(train) [45][380/1879] lr: 2.0000e-03 eta: 1:48:54 time: 0.6259 data_time: 0.0302 memory: 13723 grad_norm: 4.5520 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9135 loss: 0.9135 2022/08/09 07:40:44 - mmengine - INFO - Epoch(train) [45][400/1879] lr: 2.0000e-03 eta: 1:48:42 time: 0.6232 data_time: 0.0272 memory: 13723 grad_norm: 4.3513 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9747 loss: 0.9747 2022/08/09 07:40:56 - mmengine - INFO - Epoch(train) [45][420/1879] lr: 2.0000e-03 eta: 1:48:30 time: 0.5866 data_time: 0.0292 memory: 13723 grad_norm: 4.3147 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8560 loss: 0.8560 2022/08/09 07:41:08 - mmengine - INFO - Epoch(train) [45][440/1879] lr: 2.0000e-03 eta: 1:48:18 time: 0.5849 data_time: 0.0236 memory: 13723 grad_norm: 4.5528 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8945 loss: 0.8945 2022/08/09 07:41:19 - mmengine - INFO - Epoch(train) [45][460/1879] lr: 2.0000e-03 eta: 1:48:06 time: 0.5728 data_time: 0.0249 memory: 13723 grad_norm: 4.3996 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7494 loss: 0.7494 2022/08/09 07:41:31 - mmengine - INFO - Epoch(train) [45][480/1879] lr: 2.0000e-03 eta: 1:47:54 time: 0.5662 data_time: 0.0272 memory: 13723 grad_norm: 4.5715 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8698 loss: 0.8698 2022/08/09 07:41:42 - mmengine - INFO - Epoch(train) [45][500/1879] lr: 2.0000e-03 eta: 1:47:42 time: 0.5658 data_time: 0.0263 memory: 13723 grad_norm: 4.4798 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8762 loss: 0.8762 2022/08/09 07:41:53 - mmengine - INFO - Epoch(train) [45][520/1879] lr: 2.0000e-03 eta: 1:47:30 time: 0.5689 data_time: 0.0275 memory: 13723 grad_norm: 4.5590 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7925 loss: 0.7925 2022/08/09 07:42:05 - mmengine - INFO - Epoch(train) [45][540/1879] lr: 2.0000e-03 eta: 1:47:17 time: 0.5734 data_time: 0.0267 memory: 13723 grad_norm: 4.5689 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0279 loss: 1.0279 2022/08/09 07:42:16 - mmengine - INFO - Epoch(train) [45][560/1879] lr: 2.0000e-03 eta: 1:47:05 time: 0.5697 data_time: 0.0254 memory: 13723 grad_norm: 4.4408 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7903 loss: 0.7903 2022/08/09 07:42:28 - mmengine - INFO - Epoch(train) [45][580/1879] lr: 2.0000e-03 eta: 1:46:53 time: 0.5679 data_time: 0.0260 memory: 13723 grad_norm: 4.4385 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8397 loss: 0.8397 2022/08/09 07:42:39 - mmengine - INFO - Epoch(train) [45][600/1879] lr: 2.0000e-03 eta: 1:46:41 time: 0.5677 data_time: 0.0244 memory: 13723 grad_norm: 4.3423 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0498 loss: 1.0498 2022/08/09 07:42:50 - mmengine - INFO - Epoch(train) [45][620/1879] lr: 2.0000e-03 eta: 1:46:29 time: 0.5737 data_time: 0.0265 memory: 13723 grad_norm: 4.4421 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0106 loss: 1.0106 2022/08/09 07:43:02 - mmengine - INFO - Epoch(train) [45][640/1879] lr: 2.0000e-03 eta: 1:46:17 time: 0.5667 data_time: 0.0264 memory: 13723 grad_norm: 4.3608 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8449 loss: 0.8449 2022/08/09 07:43:13 - mmengine - INFO - Epoch(train) [45][660/1879] lr: 2.0000e-03 eta: 1:46:05 time: 0.5728 data_time: 0.0250 memory: 13723 grad_norm: 4.5145 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0036 loss: 1.0036 2022/08/09 07:43:25 - mmengine - INFO - Epoch(train) [45][680/1879] lr: 2.0000e-03 eta: 1:45:53 time: 0.5681 data_time: 0.0276 memory: 13723 grad_norm: 4.4371 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7457 loss: 0.7457 2022/08/09 07:43:36 - mmengine - INFO - Epoch(train) [45][700/1879] lr: 2.0000e-03 eta: 1:45:41 time: 0.5654 data_time: 0.0268 memory: 13723 grad_norm: 4.3471 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8526 loss: 0.8526 2022/08/09 07:43:47 - mmengine - INFO - Epoch(train) [45][720/1879] lr: 2.0000e-03 eta: 1:45:29 time: 0.5651 data_time: 0.0268 memory: 13723 grad_norm: 4.4589 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9109 loss: 0.9109 2022/08/09 07:43:59 - mmengine - INFO - Epoch(train) [45][740/1879] lr: 2.0000e-03 eta: 1:45:17 time: 0.5687 data_time: 0.0254 memory: 13723 grad_norm: 4.5479 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9127 loss: 0.9127 2022/08/09 07:44:10 - mmengine - INFO - Epoch(train) [45][760/1879] lr: 2.0000e-03 eta: 1:45:05 time: 0.5714 data_time: 0.0249 memory: 13723 grad_norm: 4.3889 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9207 loss: 0.9207 2022/08/09 07:44:22 - mmengine - INFO - Epoch(train) [45][780/1879] lr: 2.0000e-03 eta: 1:44:53 time: 0.5759 data_time: 0.0328 memory: 13723 grad_norm: 4.5419 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9185 loss: 0.9185 2022/08/09 07:44:33 - mmengine - INFO - Epoch(train) [45][800/1879] lr: 2.0000e-03 eta: 1:44:41 time: 0.5674 data_time: 0.0278 memory: 13723 grad_norm: 4.4186 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9144 loss: 0.9144 2022/08/09 07:44:44 - mmengine - INFO - Epoch(train) [45][820/1879] lr: 2.0000e-03 eta: 1:44:28 time: 0.5705 data_time: 0.0251 memory: 13723 grad_norm: 4.4616 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8823 loss: 0.8823 2022/08/09 07:44:56 - mmengine - INFO - Epoch(train) [45][840/1879] lr: 2.0000e-03 eta: 1:44:16 time: 0.5678 data_time: 0.0259 memory: 13723 grad_norm: 4.4522 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9555 loss: 0.9555 2022/08/09 07:45:07 - mmengine - INFO - Epoch(train) [45][860/1879] lr: 2.0000e-03 eta: 1:44:04 time: 0.5551 data_time: 0.0254 memory: 13723 grad_norm: 4.3560 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8566 loss: 0.8566 2022/08/09 07:45:21 - mmengine - INFO - Epoch(train) [45][880/1879] lr: 2.0000e-03 eta: 1:43:53 time: 0.7227 data_time: 0.0311 memory: 13723 grad_norm: 4.4535 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7731 loss: 0.7731 2022/08/09 07:45:33 - mmengine - INFO - Epoch(train) [45][900/1879] lr: 2.0000e-03 eta: 1:43:41 time: 0.5898 data_time: 0.0278 memory: 13723 grad_norm: 4.5403 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7762 loss: 0.7762 2022/08/09 07:45:45 - mmengine - INFO - Epoch(train) [45][920/1879] lr: 2.0000e-03 eta: 1:43:29 time: 0.6041 data_time: 0.0250 memory: 13723 grad_norm: 4.5807 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0155 loss: 1.0155 2022/08/09 07:45:57 - mmengine - INFO - Epoch(train) [45][940/1879] lr: 2.0000e-03 eta: 1:43:17 time: 0.5752 data_time: 0.0246 memory: 13723 grad_norm: 4.5462 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0162 loss: 1.0162 2022/08/09 07:46:08 - mmengine - INFO - Epoch(train) [45][960/1879] lr: 2.0000e-03 eta: 1:43:04 time: 0.5656 data_time: 0.0246 memory: 13723 grad_norm: 4.5451 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9576 loss: 0.9576 2022/08/09 07:46:20 - mmengine - INFO - Epoch(train) [45][980/1879] lr: 2.0000e-03 eta: 1:42:52 time: 0.5737 data_time: 0.0275 memory: 13723 grad_norm: 4.3615 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9821 loss: 0.9821 2022/08/09 07:46:31 - mmengine - INFO - Epoch(train) [45][1000/1879] lr: 2.0000e-03 eta: 1:42:40 time: 0.5643 data_time: 0.0252 memory: 13723 grad_norm: 4.4481 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8492 loss: 0.8492 2022/08/09 07:46:42 - mmengine - INFO - Epoch(train) [45][1020/1879] lr: 2.0000e-03 eta: 1:42:28 time: 0.5706 data_time: 0.0291 memory: 13723 grad_norm: 4.5614 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8830 loss: 0.8830 2022/08/09 07:46:54 - mmengine - INFO - Epoch(train) [45][1040/1879] lr: 2.0000e-03 eta: 1:42:16 time: 0.5666 data_time: 0.0262 memory: 13723 grad_norm: 4.3555 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8882 loss: 0.8882 2022/08/09 07:47:05 - mmengine - INFO - Epoch(train) [45][1060/1879] lr: 2.0000e-03 eta: 1:42:04 time: 0.5698 data_time: 0.0254 memory: 13723 grad_norm: 4.4718 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8927 loss: 0.8927 2022/08/09 07:47:17 - mmengine - INFO - Epoch(train) [45][1080/1879] lr: 2.0000e-03 eta: 1:41:52 time: 0.5730 data_time: 0.0257 memory: 13723 grad_norm: 4.4237 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8382 loss: 0.8382 2022/08/09 07:47:28 - mmengine - INFO - Epoch(train) [45][1100/1879] lr: 2.0000e-03 eta: 1:41:40 time: 0.5688 data_time: 0.0241 memory: 13723 grad_norm: 4.4907 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8617 loss: 0.8617 2022/08/09 07:47:39 - mmengine - INFO - Epoch(train) [45][1120/1879] lr: 2.0000e-03 eta: 1:41:28 time: 0.5675 data_time: 0.0287 memory: 13723 grad_norm: 4.5279 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8578 loss: 0.8578 2022/08/09 07:47:51 - mmengine - INFO - Epoch(train) [45][1140/1879] lr: 2.0000e-03 eta: 1:41:16 time: 0.5737 data_time: 0.0245 memory: 13723 grad_norm: 4.4772 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8829 loss: 0.8829 2022/08/09 07:48:02 - mmengine - INFO - Epoch(train) [45][1160/1879] lr: 2.0000e-03 eta: 1:41:04 time: 0.5665 data_time: 0.0273 memory: 13723 grad_norm: 4.4123 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8701 loss: 0.8701 2022/08/09 07:48:14 - mmengine - INFO - Epoch(train) [45][1180/1879] lr: 2.0000e-03 eta: 1:40:52 time: 0.5748 data_time: 0.0300 memory: 13723 grad_norm: 4.4876 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0163 loss: 1.0163 2022/08/09 07:48:25 - mmengine - INFO - Epoch(train) [45][1200/1879] lr: 2.0000e-03 eta: 1:40:40 time: 0.5675 data_time: 0.0267 memory: 13723 grad_norm: 4.5089 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8241 loss: 0.8241 2022/08/09 07:48:37 - mmengine - INFO - Epoch(train) [45][1220/1879] lr: 2.0000e-03 eta: 1:40:28 time: 0.6021 data_time: 0.0271 memory: 13723 grad_norm: 4.5396 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9680 loss: 0.9680 2022/08/09 07:48:48 - mmengine - INFO - Epoch(train) [45][1240/1879] lr: 2.0000e-03 eta: 1:40:16 time: 0.5706 data_time: 0.0254 memory: 13723 grad_norm: 4.3353 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9125 loss: 0.9125 2022/08/09 07:49:00 - mmengine - INFO - Epoch(train) [45][1260/1879] lr: 2.0000e-03 eta: 1:40:04 time: 0.5807 data_time: 0.0271 memory: 13723 grad_norm: 4.4728 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7748 loss: 0.7748 2022/08/09 07:49:12 - mmengine - INFO - Epoch(train) [45][1280/1879] lr: 2.0000e-03 eta: 1:39:52 time: 0.5763 data_time: 0.0277 memory: 13723 grad_norm: 4.4849 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8416 loss: 0.8416 2022/08/09 07:49:23 - mmengine - INFO - Epoch(train) [45][1300/1879] lr: 2.0000e-03 eta: 1:39:39 time: 0.5660 data_time: 0.0255 memory: 13723 grad_norm: 4.5516 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9212 loss: 0.9212 2022/08/09 07:49:34 - mmengine - INFO - Epoch(train) [45][1320/1879] lr: 2.0000e-03 eta: 1:39:27 time: 0.5663 data_time: 0.0261 memory: 13723 grad_norm: 4.4094 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.8571 loss: 0.8571 2022/08/09 07:49:37 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 07:49:46 - mmengine - INFO - Epoch(train) [45][1340/1879] lr: 2.0000e-03 eta: 1:39:15 time: 0.5641 data_time: 0.0258 memory: 13723 grad_norm: 4.5975 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7805 loss: 0.7805 2022/08/09 07:49:57 - mmengine - INFO - Epoch(train) [45][1360/1879] lr: 2.0000e-03 eta: 1:39:03 time: 0.5727 data_time: 0.0273 memory: 13723 grad_norm: 4.5144 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9590 loss: 0.9590 2022/08/09 07:50:08 - mmengine - INFO - Epoch(train) [45][1380/1879] lr: 2.0000e-03 eta: 1:38:51 time: 0.5648 data_time: 0.0225 memory: 13723 grad_norm: 4.4962 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8667 loss: 0.8667 2022/08/09 07:50:20 - mmengine - INFO - Epoch(train) [45][1400/1879] lr: 2.0000e-03 eta: 1:38:39 time: 0.5987 data_time: 0.0240 memory: 13723 grad_norm: 4.4402 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9471 loss: 0.9471 2022/08/09 07:50:32 - mmengine - INFO - Epoch(train) [45][1420/1879] lr: 2.0000e-03 eta: 1:38:27 time: 0.5998 data_time: 0.0295 memory: 13723 grad_norm: 4.5279 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9099 loss: 0.9099 2022/08/09 07:50:44 - mmengine - INFO - Epoch(train) [45][1440/1879] lr: 2.0000e-03 eta: 1:38:15 time: 0.5967 data_time: 0.0297 memory: 13723 grad_norm: 4.4676 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8503 loss: 0.8503 2022/08/09 07:50:56 - mmengine - INFO - Epoch(train) [45][1460/1879] lr: 2.0000e-03 eta: 1:38:03 time: 0.5798 data_time: 0.0260 memory: 13723 grad_norm: 4.4687 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8324 loss: 0.8324 2022/08/09 07:51:08 - mmengine - INFO - Epoch(train) [45][1480/1879] lr: 2.0000e-03 eta: 1:37:51 time: 0.5822 data_time: 0.0254 memory: 13723 grad_norm: 4.4475 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9201 loss: 0.9201 2022/08/09 07:51:19 - mmengine - INFO - Epoch(train) [45][1500/1879] lr: 2.0000e-03 eta: 1:37:39 time: 0.5680 data_time: 0.0249 memory: 13723 grad_norm: 4.4952 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7669 loss: 0.7669 2022/08/09 07:51:30 - mmengine - INFO - Epoch(train) [45][1520/1879] lr: 2.0000e-03 eta: 1:37:27 time: 0.5659 data_time: 0.0264 memory: 13723 grad_norm: 4.6010 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9255 loss: 0.9255 2022/08/09 07:51:42 - mmengine - INFO - Epoch(train) [45][1540/1879] lr: 2.0000e-03 eta: 1:37:15 time: 0.5680 data_time: 0.0240 memory: 13723 grad_norm: 4.4635 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8643 loss: 0.8643 2022/08/09 07:51:53 - mmengine - INFO - Epoch(train) [45][1560/1879] lr: 2.0000e-03 eta: 1:37:03 time: 0.5694 data_time: 0.0286 memory: 13723 grad_norm: 4.3795 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7989 loss: 0.7989 2022/08/09 07:52:05 - mmengine - INFO - Epoch(train) [45][1580/1879] lr: 2.0000e-03 eta: 1:36:51 time: 0.5716 data_time: 0.0276 memory: 13723 grad_norm: 4.3218 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7027 loss: 0.7027 2022/08/09 07:52:16 - mmengine - INFO - Epoch(train) [45][1600/1879] lr: 2.0000e-03 eta: 1:36:39 time: 0.5706 data_time: 0.0249 memory: 13723 grad_norm: 4.5661 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9184 loss: 0.9184 2022/08/09 07:52:27 - mmengine - INFO - Epoch(train) [45][1620/1879] lr: 2.0000e-03 eta: 1:36:27 time: 0.5760 data_time: 0.0271 memory: 13723 grad_norm: 4.6000 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9069 loss: 0.9069 2022/08/09 07:52:39 - mmengine - INFO - Epoch(train) [45][1640/1879] lr: 2.0000e-03 eta: 1:36:15 time: 0.5694 data_time: 0.0268 memory: 13723 grad_norm: 4.4980 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9393 loss: 0.9393 2022/08/09 07:52:50 - mmengine - INFO - Epoch(train) [45][1660/1879] lr: 2.0000e-03 eta: 1:36:03 time: 0.5666 data_time: 0.0258 memory: 13723 grad_norm: 4.4748 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8196 loss: 0.8196 2022/08/09 07:53:02 - mmengine - INFO - Epoch(train) [45][1680/1879] lr: 2.0000e-03 eta: 1:35:51 time: 0.5720 data_time: 0.0275 memory: 13723 grad_norm: 4.5896 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0896 loss: 1.0896 2022/08/09 07:53:13 - mmengine - INFO - Epoch(train) [45][1700/1879] lr: 2.0000e-03 eta: 1:35:39 time: 0.5670 data_time: 0.0259 memory: 13723 grad_norm: 4.6779 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9954 loss: 0.9954 2022/08/09 07:53:24 - mmengine - INFO - Epoch(train) [45][1720/1879] lr: 2.0000e-03 eta: 1:35:26 time: 0.5714 data_time: 0.0262 memory: 13723 grad_norm: 4.6187 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9181 loss: 0.9181 2022/08/09 07:53:36 - mmengine - INFO - Epoch(train) [45][1740/1879] lr: 2.0000e-03 eta: 1:35:14 time: 0.5706 data_time: 0.0254 memory: 13723 grad_norm: 4.6468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9478 loss: 0.9478 2022/08/09 07:53:47 - mmengine - INFO - Epoch(train) [45][1760/1879] lr: 2.0000e-03 eta: 1:35:02 time: 0.5629 data_time: 0.0261 memory: 13723 grad_norm: 4.4761 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8668 loss: 0.8668 2022/08/09 07:53:59 - mmengine - INFO - Epoch(train) [45][1780/1879] lr: 2.0000e-03 eta: 1:34:50 time: 0.5754 data_time: 0.0270 memory: 13723 grad_norm: 4.5554 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8972 loss: 0.8972 2022/08/09 07:54:10 - mmengine - INFO - Epoch(train) [45][1800/1879] lr: 2.0000e-03 eta: 1:34:38 time: 0.5845 data_time: 0.0240 memory: 13723 grad_norm: 4.4813 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9140 loss: 0.9140 2022/08/09 07:54:22 - mmengine - INFO - Epoch(train) [45][1820/1879] lr: 2.0000e-03 eta: 1:34:26 time: 0.5679 data_time: 0.0257 memory: 13723 grad_norm: 4.5098 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9874 loss: 0.9874 2022/08/09 07:54:33 - mmengine - INFO - Epoch(train) [45][1840/1879] lr: 2.0000e-03 eta: 1:34:14 time: 0.5684 data_time: 0.0295 memory: 13723 grad_norm: 4.5732 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1084 loss: 1.1084 2022/08/09 07:54:45 - mmengine - INFO - Epoch(train) [45][1860/1879] lr: 2.0000e-03 eta: 1:34:02 time: 0.5701 data_time: 0.0253 memory: 13723 grad_norm: 4.5796 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0004 loss: 1.0004 2022/08/09 07:54:55 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 07:54:55 - mmengine - INFO - Epoch(train) [45][1879/1879] lr: 2.0000e-03 eta: 1:34:02 time: 0.5341 data_time: 0.0186 memory: 13723 grad_norm: 4.5370 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8193 loss: 0.8193 2022/08/09 07:54:55 - mmengine - INFO - Saving checkpoint at 45 epochs 2022/08/09 07:55:13 - mmengine - INFO - Epoch(val) [45][20/155] eta: 0:01:51 time: 0.8246 data_time: 0.6851 memory: 1829 2022/08/09 07:55:23 - mmengine - INFO - Epoch(val) [45][40/155] eta: 0:00:56 time: 0.4947 data_time: 0.3556 memory: 1829 2022/08/09 07:55:35 - mmengine - INFO - Epoch(val) [45][60/155] eta: 0:00:56 time: 0.5934 data_time: 0.4533 memory: 1829 2022/08/09 07:55:44 - mmengine - INFO - Epoch(val) [45][80/155] eta: 0:00:34 time: 0.4585 data_time: 0.3193 memory: 1829 2022/08/09 07:55:57 - mmengine - INFO - Epoch(val) [45][100/155] eta: 0:00:35 time: 0.6533 data_time: 0.5140 memory: 1829 2022/08/09 07:56:06 - mmengine - INFO - Epoch(val) [45][120/155] eta: 0:00:15 time: 0.4551 data_time: 0.3164 memory: 1829 2022/08/09 07:56:19 - mmengine - INFO - Epoch(val) [45][140/155] eta: 0:00:09 time: 0.6567 data_time: 0.5185 memory: 1829 2022/08/09 07:56:26 - mmengine - INFO - Epoch(val) [45][155/155] acc/top1: 0.7061 acc/top5: 0.8956 acc/mean1: 0.7060 2022/08/09 07:56:42 - mmengine - INFO - Epoch(train) [46][20/1879] lr: 2.0000e-04 eta: 1:33:38 time: 0.8066 data_time: 0.2208 memory: 13723 grad_norm: 4.3543 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9161 loss: 0.9161 2022/08/09 07:56:54 - mmengine - INFO - Epoch(train) [46][40/1879] lr: 2.0000e-04 eta: 1:33:26 time: 0.5797 data_time: 0.0251 memory: 13723 grad_norm: 4.3620 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7472 loss: 0.7472 2022/08/09 07:57:06 - mmengine - INFO - Epoch(train) [46][60/1879] lr: 2.0000e-04 eta: 1:33:14 time: 0.5865 data_time: 0.0277 memory: 13723 grad_norm: 4.4981 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8575 loss: 0.8575 2022/08/09 07:57:17 - mmengine - INFO - Epoch(train) [46][80/1879] lr: 2.0000e-04 eta: 1:33:02 time: 0.5835 data_time: 0.0264 memory: 13723 grad_norm: 4.4117 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9222 loss: 0.9222 2022/08/09 07:57:29 - mmengine - INFO - Epoch(train) [46][100/1879] lr: 2.0000e-04 eta: 1:32:50 time: 0.5714 data_time: 0.0249 memory: 13723 grad_norm: 4.4764 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8545 loss: 0.8545 2022/08/09 07:57:40 - mmengine - INFO - Epoch(train) [46][120/1879] lr: 2.0000e-04 eta: 1:32:38 time: 0.5727 data_time: 0.0241 memory: 13723 grad_norm: 4.3863 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7210 loss: 0.7210 2022/08/09 07:57:52 - mmengine - INFO - Epoch(train) [46][140/1879] lr: 2.0000e-04 eta: 1:32:26 time: 0.5693 data_time: 0.0276 memory: 13723 grad_norm: 4.4952 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8919 loss: 0.8919 2022/08/09 07:58:03 - mmengine - INFO - Epoch(train) [46][160/1879] lr: 2.0000e-04 eta: 1:32:14 time: 0.5652 data_time: 0.0249 memory: 13723 grad_norm: 4.4134 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8579 loss: 0.8579 2022/08/09 07:58:14 - mmengine - INFO - Epoch(train) [46][180/1879] lr: 2.0000e-04 eta: 1:32:02 time: 0.5678 data_time: 0.0250 memory: 13723 grad_norm: 4.3946 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8292 loss: 0.8292 2022/08/09 07:58:26 - mmengine - INFO - Epoch(train) [46][200/1879] lr: 2.0000e-04 eta: 1:31:50 time: 0.5760 data_time: 0.0253 memory: 13723 grad_norm: 4.5099 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7674 loss: 0.7674 2022/08/09 07:58:37 - mmengine - INFO - Epoch(train) [46][220/1879] lr: 2.0000e-04 eta: 1:31:38 time: 0.5702 data_time: 0.0259 memory: 13723 grad_norm: 4.5118 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9331 loss: 0.9331 2022/08/09 07:58:49 - mmengine - INFO - Epoch(train) [46][240/1879] lr: 2.0000e-04 eta: 1:31:25 time: 0.5696 data_time: 0.0262 memory: 13723 grad_norm: 4.4018 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8055 loss: 0.8055 2022/08/09 07:59:00 - mmengine - INFO - Epoch(train) [46][260/1879] lr: 2.0000e-04 eta: 1:31:13 time: 0.5668 data_time: 0.0247 memory: 13723 grad_norm: 4.4136 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7908 loss: 0.7908 2022/08/09 07:59:12 - mmengine - INFO - Epoch(train) [46][280/1879] lr: 2.0000e-04 eta: 1:31:01 time: 0.5714 data_time: 0.0260 memory: 13723 grad_norm: 4.3936 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8694 loss: 0.8694 2022/08/09 07:59:23 - mmengine - INFO - Epoch(train) [46][300/1879] lr: 2.0000e-04 eta: 1:30:49 time: 0.5690 data_time: 0.0244 memory: 13723 grad_norm: 4.4599 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8648 loss: 0.8648 2022/08/09 07:59:34 - mmengine - INFO - Epoch(train) [46][320/1879] lr: 2.0000e-04 eta: 1:30:37 time: 0.5728 data_time: 0.0247 memory: 13723 grad_norm: 4.3043 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8288 loss: 0.8288 2022/08/09 07:59:46 - mmengine - INFO - Epoch(train) [46][340/1879] lr: 2.0000e-04 eta: 1:30:25 time: 0.5768 data_time: 0.0283 memory: 13723 grad_norm: 4.3105 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8005 loss: 0.8005 2022/08/09 07:59:58 - mmengine - INFO - Epoch(train) [46][360/1879] lr: 2.0000e-04 eta: 1:30:13 time: 0.5803 data_time: 0.0423 memory: 13723 grad_norm: 4.4578 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9531 loss: 0.9531 2022/08/09 08:00:09 - mmengine - INFO - Epoch(train) [46][380/1879] lr: 2.0000e-04 eta: 1:30:01 time: 0.5828 data_time: 0.0260 memory: 13723 grad_norm: 4.5072 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7865 loss: 0.7865 2022/08/09 08:00:22 - mmengine - INFO - Epoch(train) [46][400/1879] lr: 2.0000e-04 eta: 1:29:49 time: 0.6384 data_time: 0.0397 memory: 13723 grad_norm: 4.4212 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8969 loss: 0.8969 2022/08/09 08:00:34 - mmengine - INFO - Epoch(train) [46][420/1879] lr: 2.0000e-04 eta: 1:29:37 time: 0.5886 data_time: 0.0285 memory: 13723 grad_norm: 4.4490 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9502 loss: 0.9502 2022/08/09 08:00:46 - mmengine - INFO - Epoch(train) [46][440/1879] lr: 2.0000e-04 eta: 1:29:25 time: 0.5916 data_time: 0.0259 memory: 13723 grad_norm: 4.3428 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8832 loss: 0.8832 2022/08/09 08:00:49 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 08:00:57 - mmengine - INFO - Epoch(train) [46][460/1879] lr: 2.0000e-04 eta: 1:29:13 time: 0.5840 data_time: 0.0277 memory: 13723 grad_norm: 4.4597 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8748 loss: 0.8748 2022/08/09 08:01:09 - mmengine - INFO - Epoch(train) [46][480/1879] lr: 2.0000e-04 eta: 1:29:01 time: 0.5748 data_time: 0.0266 memory: 13723 grad_norm: 4.3539 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8636 loss: 0.8636 2022/08/09 08:01:20 - mmengine - INFO - Epoch(train) [46][500/1879] lr: 2.0000e-04 eta: 1:28:49 time: 0.5728 data_time: 0.0261 memory: 13723 grad_norm: 4.3934 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8771 loss: 0.8771 2022/08/09 08:01:32 - mmengine - INFO - Epoch(train) [46][520/1879] lr: 2.0000e-04 eta: 1:28:37 time: 0.5636 data_time: 0.0245 memory: 13723 grad_norm: 4.4920 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8076 loss: 0.8076 2022/08/09 08:01:43 - mmengine - INFO - Epoch(train) [46][540/1879] lr: 2.0000e-04 eta: 1:28:25 time: 0.5707 data_time: 0.0271 memory: 13723 grad_norm: 4.3487 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7783 loss: 0.7783 2022/08/09 08:01:54 - mmengine - INFO - Epoch(train) [46][560/1879] lr: 2.0000e-04 eta: 1:28:13 time: 0.5656 data_time: 0.0260 memory: 13723 grad_norm: 4.3669 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8425 loss: 0.8425 2022/08/09 08:02:06 - mmengine - INFO - Epoch(train) [46][580/1879] lr: 2.0000e-04 eta: 1:28:01 time: 0.5762 data_time: 0.0276 memory: 13723 grad_norm: 4.5073 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9369 loss: 0.9369 2022/08/09 08:02:17 - mmengine - INFO - Epoch(train) [46][600/1879] lr: 2.0000e-04 eta: 1:27:49 time: 0.5670 data_time: 0.0266 memory: 13723 grad_norm: 4.4258 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7676 loss: 0.7676 2022/08/09 08:02:29 - mmengine - INFO - Epoch(train) [46][620/1879] lr: 2.0000e-04 eta: 1:27:37 time: 0.5681 data_time: 0.0267 memory: 13723 grad_norm: 4.4846 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7712 loss: 0.7712 2022/08/09 08:02:40 - mmengine - INFO - Epoch(train) [46][640/1879] lr: 2.0000e-04 eta: 1:27:25 time: 0.5688 data_time: 0.0286 memory: 13723 grad_norm: 4.4791 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8955 loss: 0.8955 2022/08/09 08:02:51 - mmengine - INFO - Epoch(train) [46][660/1879] lr: 2.0000e-04 eta: 1:27:13 time: 0.5653 data_time: 0.0248 memory: 13723 grad_norm: 4.3920 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8993 loss: 0.8993 2022/08/09 08:03:03 - mmengine - INFO - Epoch(train) [46][680/1879] lr: 2.0000e-04 eta: 1:27:01 time: 0.5690 data_time: 0.0253 memory: 13723 grad_norm: 4.4170 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0345 loss: 1.0345 2022/08/09 08:03:14 - mmengine - INFO - Epoch(train) [46][700/1879] lr: 2.0000e-04 eta: 1:26:49 time: 0.5640 data_time: 0.0251 memory: 13723 grad_norm: 4.5135 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7551 loss: 0.7551 2022/08/09 08:03:25 - mmengine - INFO - Epoch(train) [46][720/1879] lr: 2.0000e-04 eta: 1:26:37 time: 0.5684 data_time: 0.0288 memory: 13723 grad_norm: 4.2620 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8391 loss: 0.8391 2022/08/09 08:03:37 - mmengine - INFO - Epoch(train) [46][740/1879] lr: 2.0000e-04 eta: 1:26:25 time: 0.5700 data_time: 0.0269 memory: 13723 grad_norm: 4.4335 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8687 loss: 0.8687 2022/08/09 08:03:48 - mmengine - INFO - Epoch(train) [46][760/1879] lr: 2.0000e-04 eta: 1:26:13 time: 0.5628 data_time: 0.0273 memory: 13723 grad_norm: 4.3872 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8828 loss: 0.8828 2022/08/09 08:04:00 - mmengine - INFO - Epoch(train) [46][780/1879] lr: 2.0000e-04 eta: 1:26:01 time: 0.5739 data_time: 0.0277 memory: 13723 grad_norm: 4.4370 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9420 loss: 0.9420 2022/08/09 08:04:11 - mmengine - INFO - Epoch(train) [46][800/1879] lr: 2.0000e-04 eta: 1:25:49 time: 0.5691 data_time: 0.0252 memory: 13723 grad_norm: 4.4239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9109 loss: 0.9109 2022/08/09 08:04:22 - mmengine - INFO - Epoch(train) [46][820/1879] lr: 2.0000e-04 eta: 1:25:36 time: 0.5699 data_time: 0.0252 memory: 13723 grad_norm: 4.4322 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9096 loss: 0.9096 2022/08/09 08:04:34 - mmengine - INFO - Epoch(train) [46][840/1879] lr: 2.0000e-04 eta: 1:25:24 time: 0.5670 data_time: 0.0253 memory: 13723 grad_norm: 4.4595 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.8370 loss: 0.8370 2022/08/09 08:04:45 - mmengine - INFO - Epoch(train) [46][860/1879] lr: 2.0000e-04 eta: 1:25:12 time: 0.5661 data_time: 0.0240 memory: 13723 grad_norm: 4.2641 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6845 loss: 0.6845 2022/08/09 08:04:57 - mmengine - INFO - Epoch(train) [46][880/1879] lr: 2.0000e-04 eta: 1:25:00 time: 0.5664 data_time: 0.0264 memory: 13723 grad_norm: 4.3452 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7933 loss: 0.7933 2022/08/09 08:05:08 - mmengine - INFO - Epoch(train) [46][900/1879] lr: 2.0000e-04 eta: 1:24:48 time: 0.5860 data_time: 0.0408 memory: 13723 grad_norm: 4.4822 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8897 loss: 0.8897 2022/08/09 08:05:20 - mmengine - INFO - Epoch(train) [46][920/1879] lr: 2.0000e-04 eta: 1:24:36 time: 0.5859 data_time: 0.0261 memory: 13723 grad_norm: 4.4119 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8838 loss: 0.8838 2022/08/09 08:05:31 - mmengine - INFO - Epoch(train) [46][940/1879] lr: 2.0000e-04 eta: 1:24:24 time: 0.5774 data_time: 0.0296 memory: 13723 grad_norm: 4.3834 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7528 loss: 0.7528 2022/08/09 08:05:44 - mmengine - INFO - Epoch(train) [46][960/1879] lr: 2.0000e-04 eta: 1:24:12 time: 0.6059 data_time: 0.0325 memory: 13723 grad_norm: 4.2368 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8120 loss: 0.8120 2022/08/09 08:05:56 - mmengine - INFO - Epoch(train) [46][980/1879] lr: 2.0000e-04 eta: 1:24:00 time: 0.6226 data_time: 0.0628 memory: 13723 grad_norm: 4.5244 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8478 loss: 0.8478 2022/08/09 08:06:08 - mmengine - INFO - Epoch(train) [46][1000/1879] lr: 2.0000e-04 eta: 1:23:48 time: 0.5810 data_time: 0.0266 memory: 13723 grad_norm: 4.4935 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8675 loss: 0.8675 2022/08/09 08:06:19 - mmengine - INFO - Epoch(train) [46][1020/1879] lr: 2.0000e-04 eta: 1:23:36 time: 0.5777 data_time: 0.0250 memory: 13723 grad_norm: 4.4128 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7083 loss: 0.7083 2022/08/09 08:06:30 - mmengine - INFO - Epoch(train) [46][1040/1879] lr: 2.0000e-04 eta: 1:23:24 time: 0.5656 data_time: 0.0242 memory: 13723 grad_norm: 4.5064 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9278 loss: 0.9278 2022/08/09 08:06:42 - mmengine - INFO - Epoch(train) [46][1060/1879] lr: 2.0000e-04 eta: 1:23:12 time: 0.5700 data_time: 0.0261 memory: 13723 grad_norm: 4.3765 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9436 loss: 0.9436 2022/08/09 08:06:53 - mmengine - INFO - Epoch(train) [46][1080/1879] lr: 2.0000e-04 eta: 1:23:00 time: 0.5641 data_time: 0.0253 memory: 13723 grad_norm: 4.4523 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8111 loss: 0.8111 2022/08/09 08:07:05 - mmengine - INFO - Epoch(train) [46][1100/1879] lr: 2.0000e-04 eta: 1:22:48 time: 0.5725 data_time: 0.0257 memory: 13723 grad_norm: 4.3663 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8525 loss: 0.8525 2022/08/09 08:07:16 - mmengine - INFO - Epoch(train) [46][1120/1879] lr: 2.0000e-04 eta: 1:22:36 time: 0.5690 data_time: 0.0240 memory: 13723 grad_norm: 4.3990 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9347 loss: 0.9347 2022/08/09 08:07:27 - mmengine - INFO - Epoch(train) [46][1140/1879] lr: 2.0000e-04 eta: 1:22:24 time: 0.5656 data_time: 0.0254 memory: 13723 grad_norm: 4.3915 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7388 loss: 0.7388 2022/08/09 08:07:39 - mmengine - INFO - Epoch(train) [46][1160/1879] lr: 2.0000e-04 eta: 1:22:12 time: 0.5720 data_time: 0.0274 memory: 13723 grad_norm: 4.2724 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7574 loss: 0.7574 2022/08/09 08:07:50 - mmengine - INFO - Epoch(train) [46][1180/1879] lr: 2.0000e-04 eta: 1:22:00 time: 0.5696 data_time: 0.0274 memory: 13723 grad_norm: 4.2961 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0434 loss: 1.0434 2022/08/09 08:08:02 - mmengine - INFO - Epoch(train) [46][1200/1879] lr: 2.0000e-04 eta: 1:21:48 time: 0.5661 data_time: 0.0266 memory: 13723 grad_norm: 4.4464 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7750 loss: 0.7750 2022/08/09 08:08:13 - mmengine - INFO - Epoch(train) [46][1220/1879] lr: 2.0000e-04 eta: 1:21:36 time: 0.5668 data_time: 0.0244 memory: 13723 grad_norm: 4.4387 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9375 loss: 0.9375 2022/08/09 08:08:24 - mmengine - INFO - Epoch(train) [46][1240/1879] lr: 2.0000e-04 eta: 1:21:24 time: 0.5730 data_time: 0.0266 memory: 13723 grad_norm: 4.3347 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9229 loss: 0.9229 2022/08/09 08:08:36 - mmengine - INFO - Epoch(train) [46][1260/1879] lr: 2.0000e-04 eta: 1:21:12 time: 0.5640 data_time: 0.0270 memory: 13723 grad_norm: 4.3774 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9240 loss: 0.9240 2022/08/09 08:08:47 - mmengine - INFO - Epoch(train) [46][1280/1879] lr: 2.0000e-04 eta: 1:21:00 time: 0.5688 data_time: 0.0245 memory: 13723 grad_norm: 4.3379 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8742 loss: 0.8742 2022/08/09 08:08:58 - mmengine - INFO - Epoch(train) [46][1300/1879] lr: 2.0000e-04 eta: 1:20:48 time: 0.5679 data_time: 0.0253 memory: 13723 grad_norm: 4.5087 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8466 loss: 0.8466 2022/08/09 08:09:10 - mmengine - INFO - Epoch(train) [46][1320/1879] lr: 2.0000e-04 eta: 1:20:36 time: 0.5682 data_time: 0.0251 memory: 13723 grad_norm: 4.2612 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8528 loss: 0.8528 2022/08/09 08:09:21 - mmengine - INFO - Epoch(train) [46][1340/1879] lr: 2.0000e-04 eta: 1:20:24 time: 0.5677 data_time: 0.0297 memory: 13723 grad_norm: 4.4292 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7996 loss: 0.7996 2022/08/09 08:09:33 - mmengine - INFO - Epoch(train) [46][1360/1879] lr: 2.0000e-04 eta: 1:20:12 time: 0.5719 data_time: 0.0281 memory: 13723 grad_norm: 4.3305 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8776 loss: 0.8776 2022/08/09 08:09:44 - mmengine - INFO - Epoch(train) [46][1380/1879] lr: 2.0000e-04 eta: 1:20:00 time: 0.5667 data_time: 0.0247 memory: 13723 grad_norm: 4.4639 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0051 loss: 1.0051 2022/08/09 08:09:55 - mmengine - INFO - Epoch(train) [46][1400/1879] lr: 2.0000e-04 eta: 1:19:48 time: 0.5667 data_time: 0.0265 memory: 13723 grad_norm: 4.3286 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7196 loss: 0.7196 2022/08/09 08:10:07 - mmengine - INFO - Epoch(train) [46][1420/1879] lr: 2.0000e-04 eta: 1:19:36 time: 0.5784 data_time: 0.0259 memory: 13723 grad_norm: 4.4411 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7696 loss: 0.7696 2022/08/09 08:10:19 - mmengine - INFO - Epoch(train) [46][1440/1879] lr: 2.0000e-04 eta: 1:19:24 time: 0.5816 data_time: 0.0256 memory: 13723 grad_norm: 4.4173 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8692 loss: 0.8692 2022/08/09 08:10:21 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 08:10:31 - mmengine - INFO - Epoch(train) [46][1460/1879] lr: 2.0000e-04 eta: 1:19:12 time: 0.6186 data_time: 0.0339 memory: 13723 grad_norm: 4.3216 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9123 loss: 0.9123 2022/08/09 08:10:43 - mmengine - INFO - Epoch(train) [46][1480/1879] lr: 2.0000e-04 eta: 1:19:00 time: 0.5953 data_time: 0.0285 memory: 13723 grad_norm: 4.5281 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8670 loss: 0.8670 2022/08/09 08:10:55 - mmengine - INFO - Epoch(train) [46][1500/1879] lr: 2.0000e-04 eta: 1:18:48 time: 0.5936 data_time: 0.0245 memory: 13723 grad_norm: 4.2207 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8685 loss: 0.8685 2022/08/09 08:11:06 - mmengine - INFO - Epoch(train) [46][1520/1879] lr: 2.0000e-04 eta: 1:18:36 time: 0.5842 data_time: 0.0250 memory: 13723 grad_norm: 4.5278 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8027 loss: 0.8027 2022/08/09 08:11:18 - mmengine - INFO - Epoch(train) [46][1540/1879] lr: 2.0000e-04 eta: 1:18:24 time: 0.5717 data_time: 0.0253 memory: 13723 grad_norm: 4.3233 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9004 loss: 0.9004 2022/08/09 08:11:29 - mmengine - INFO - Epoch(train) [46][1560/1879] lr: 2.0000e-04 eta: 1:18:12 time: 0.5643 data_time: 0.0262 memory: 13723 grad_norm: 4.2738 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8431 loss: 0.8431 2022/08/09 08:11:41 - mmengine - INFO - Epoch(train) [46][1580/1879] lr: 2.0000e-04 eta: 1:18:00 time: 0.5764 data_time: 0.0264 memory: 13723 grad_norm: 4.4461 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7954 loss: 0.7954 2022/08/09 08:11:52 - mmengine - INFO - Epoch(train) [46][1600/1879] lr: 2.0000e-04 eta: 1:17:48 time: 0.5666 data_time: 0.0251 memory: 13723 grad_norm: 4.2692 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7349 loss: 0.7349 2022/08/09 08:12:03 - mmengine - INFO - Epoch(train) [46][1620/1879] lr: 2.0000e-04 eta: 1:17:36 time: 0.5655 data_time: 0.0281 memory: 13723 grad_norm: 4.3484 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7431 loss: 0.7431 2022/08/09 08:12:15 - mmengine - INFO - Epoch(train) [46][1640/1879] lr: 2.0000e-04 eta: 1:17:24 time: 0.5779 data_time: 0.0253 memory: 13723 grad_norm: 4.4455 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8045 loss: 0.8045 2022/08/09 08:12:26 - mmengine - INFO - Epoch(train) [46][1660/1879] lr: 2.0000e-04 eta: 1:17:11 time: 0.5694 data_time: 0.0281 memory: 13723 grad_norm: 4.4653 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9329 loss: 0.9329 2022/08/09 08:12:38 - mmengine - INFO - Epoch(train) [46][1680/1879] lr: 2.0000e-04 eta: 1:16:59 time: 0.5644 data_time: 0.0253 memory: 13723 grad_norm: 4.3555 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9150 loss: 0.9150 2022/08/09 08:12:49 - mmengine - INFO - Epoch(train) [46][1700/1879] lr: 2.0000e-04 eta: 1:16:47 time: 0.5708 data_time: 0.0237 memory: 13723 grad_norm: 4.1071 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7841 loss: 0.7841 2022/08/09 08:13:00 - mmengine - INFO - Epoch(train) [46][1720/1879] lr: 2.0000e-04 eta: 1:16:35 time: 0.5663 data_time: 0.0266 memory: 13723 grad_norm: 4.3919 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7930 loss: 0.7930 2022/08/09 08:13:12 - mmengine - INFO - Epoch(train) [46][1740/1879] lr: 2.0000e-04 eta: 1:16:23 time: 0.5707 data_time: 0.0258 memory: 13723 grad_norm: 4.3871 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9151 loss: 0.9151 2022/08/09 08:13:23 - mmengine - INFO - Epoch(train) [46][1760/1879] lr: 2.0000e-04 eta: 1:16:11 time: 0.5619 data_time: 0.0243 memory: 13723 grad_norm: 4.3780 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8544 loss: 0.8544 2022/08/09 08:13:34 - mmengine - INFO - Epoch(train) [46][1780/1879] lr: 2.0000e-04 eta: 1:15:59 time: 0.5692 data_time: 0.0282 memory: 13723 grad_norm: 4.2757 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9011 loss: 0.9011 2022/08/09 08:13:46 - mmengine - INFO - Epoch(train) [46][1800/1879] lr: 2.0000e-04 eta: 1:15:47 time: 0.5680 data_time: 0.0267 memory: 13723 grad_norm: 4.3711 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9862 loss: 0.9862 2022/08/09 08:13:57 - mmengine - INFO - Epoch(train) [46][1820/1879] lr: 2.0000e-04 eta: 1:15:35 time: 0.5713 data_time: 0.0227 memory: 13723 grad_norm: 4.3168 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9272 loss: 0.9272 2022/08/09 08:14:09 - mmengine - INFO - Epoch(train) [46][1840/1879] lr: 2.0000e-04 eta: 1:15:23 time: 0.5738 data_time: 0.0286 memory: 13723 grad_norm: 4.3626 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8469 loss: 0.8469 2022/08/09 08:14:20 - mmengine - INFO - Epoch(train) [46][1860/1879] lr: 2.0000e-04 eta: 1:15:11 time: 0.5684 data_time: 0.0244 memory: 13723 grad_norm: 4.3974 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8463 loss: 0.8463 2022/08/09 08:14:30 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 08:14:30 - mmengine - INFO - Epoch(train) [46][1879/1879] lr: 2.0000e-04 eta: 1:15:11 time: 0.5299 data_time: 0.0180 memory: 13723 grad_norm: 4.4688 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.8900 loss: 0.8900 2022/08/09 08:14:44 - mmengine - INFO - Epoch(val) [46][20/155] eta: 0:01:30 time: 0.6688 data_time: 0.5282 memory: 1829 2022/08/09 08:14:52 - mmengine - INFO - Epoch(val) [46][40/155] eta: 0:00:50 time: 0.4422 data_time: 0.3025 memory: 1829 2022/08/09 08:15:05 - mmengine - INFO - Epoch(val) [46][60/155] eta: 0:00:59 time: 0.6281 data_time: 0.4875 memory: 1829 2022/08/09 08:15:15 - mmengine - INFO - Epoch(val) [46][80/155] eta: 0:00:36 time: 0.4887 data_time: 0.3486 memory: 1829 2022/08/09 08:15:27 - mmengine - INFO - Epoch(val) [46][100/155] eta: 0:00:34 time: 0.6222 data_time: 0.4827 memory: 1829 2022/08/09 08:15:36 - mmengine - INFO - Epoch(val) [46][120/155] eta: 0:00:15 time: 0.4556 data_time: 0.3157 memory: 1829 2022/08/09 08:15:50 - mmengine - INFO - Epoch(val) [46][140/155] eta: 0:00:09 time: 0.6584 data_time: 0.5177 memory: 1829 2022/08/09 08:15:59 - mmengine - INFO - Epoch(val) [46][155/155] acc/top1: 0.7125 acc/top5: 0.8981 acc/mean1: 0.7123 2022/08/09 08:15:59 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_40.pth is removed 2022/08/09 08:16:00 - mmengine - INFO - The best checkpoint with 0.7125 acc/top1 at 47 epoch is saved to best_acc/top1_epoch_47.pth. 2022/08/09 08:16:15 - mmengine - INFO - Epoch(train) [47][20/1879] lr: 2.0000e-04 eta: 1:14:47 time: 0.7630 data_time: 0.2156 memory: 13723 grad_norm: 4.3187 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7771 loss: 0.7771 2022/08/09 08:16:27 - mmengine - INFO - Epoch(train) [47][40/1879] lr: 2.0000e-04 eta: 1:14:35 time: 0.5768 data_time: 0.0319 memory: 13723 grad_norm: 4.3440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9219 loss: 0.9219 2022/08/09 08:16:39 - mmengine - INFO - Epoch(train) [47][60/1879] lr: 2.0000e-04 eta: 1:14:23 time: 0.5819 data_time: 0.0295 memory: 13723 grad_norm: 4.3101 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8351 loss: 0.8351 2022/08/09 08:16:50 - mmengine - INFO - Epoch(train) [47][80/1879] lr: 2.0000e-04 eta: 1:14:11 time: 0.5801 data_time: 0.0243 memory: 13723 grad_norm: 4.1480 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7234 loss: 0.7234 2022/08/09 08:17:02 - mmengine - INFO - Epoch(train) [47][100/1879] lr: 2.0000e-04 eta: 1:13:59 time: 0.5729 data_time: 0.0247 memory: 13723 grad_norm: 4.3637 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9758 loss: 0.9758 2022/08/09 08:17:13 - mmengine - INFO - Epoch(train) [47][120/1879] lr: 2.0000e-04 eta: 1:13:47 time: 0.5661 data_time: 0.0251 memory: 13723 grad_norm: 4.5013 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9013 loss: 0.9013 2022/08/09 08:17:24 - mmengine - INFO - Epoch(train) [47][140/1879] lr: 2.0000e-04 eta: 1:13:35 time: 0.5663 data_time: 0.0258 memory: 13723 grad_norm: 4.3394 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8581 loss: 0.8581 2022/08/09 08:17:36 - mmengine - INFO - Epoch(train) [47][160/1879] lr: 2.0000e-04 eta: 1:13:23 time: 0.5680 data_time: 0.0265 memory: 13723 grad_norm: 4.4354 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7346 loss: 0.7346 2022/08/09 08:17:47 - mmengine - INFO - Epoch(train) [47][180/1879] lr: 2.0000e-04 eta: 1:13:11 time: 0.5676 data_time: 0.0252 memory: 13723 grad_norm: 4.5585 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9270 loss: 0.9270 2022/08/09 08:17:59 - mmengine - INFO - Epoch(train) [47][200/1879] lr: 2.0000e-04 eta: 1:12:59 time: 0.5749 data_time: 0.0255 memory: 13723 grad_norm: 4.3990 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8965 loss: 0.8965 2022/08/09 08:18:10 - mmengine - INFO - Epoch(train) [47][220/1879] lr: 2.0000e-04 eta: 1:12:47 time: 0.5700 data_time: 0.0259 memory: 13723 grad_norm: 4.5061 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8495 loss: 0.8495 2022/08/09 08:18:21 - mmengine - INFO - Epoch(train) [47][240/1879] lr: 2.0000e-04 eta: 1:12:35 time: 0.5738 data_time: 0.0274 memory: 13723 grad_norm: 4.3478 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6789 loss: 0.6789 2022/08/09 08:18:33 - mmengine - INFO - Epoch(train) [47][260/1879] lr: 2.0000e-04 eta: 1:12:23 time: 0.5657 data_time: 0.0271 memory: 13723 grad_norm: 4.4381 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8932 loss: 0.8932 2022/08/09 08:18:44 - mmengine - INFO - Epoch(train) [47][280/1879] lr: 2.0000e-04 eta: 1:12:11 time: 0.5693 data_time: 0.0271 memory: 13723 grad_norm: 4.4456 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9952 loss: 0.9952 2022/08/09 08:18:56 - mmengine - INFO - Epoch(train) [47][300/1879] lr: 2.0000e-04 eta: 1:11:59 time: 0.5684 data_time: 0.0260 memory: 13723 grad_norm: 4.4622 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8220 loss: 0.8220 2022/08/09 08:19:07 - mmengine - INFO - Epoch(train) [47][320/1879] lr: 2.0000e-04 eta: 1:11:47 time: 0.5731 data_time: 0.0241 memory: 13723 grad_norm: 4.3774 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 0.8375 loss: 0.8375 2022/08/09 08:19:18 - mmengine - INFO - Epoch(train) [47][340/1879] lr: 2.0000e-04 eta: 1:11:35 time: 0.5662 data_time: 0.0254 memory: 13723 grad_norm: 4.2669 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8422 loss: 0.8422 2022/08/09 08:19:30 - mmengine - INFO - Epoch(train) [47][360/1879] lr: 2.0000e-04 eta: 1:11:23 time: 0.5712 data_time: 0.0272 memory: 13723 grad_norm: 4.2333 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8955 loss: 0.8955 2022/08/09 08:19:41 - mmengine - INFO - Epoch(train) [47][380/1879] lr: 2.0000e-04 eta: 1:11:11 time: 0.5668 data_time: 0.0257 memory: 13723 grad_norm: 4.3321 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7763 loss: 0.7763 2022/08/09 08:19:53 - mmengine - INFO - Epoch(train) [47][400/1879] lr: 2.0000e-04 eta: 1:10:59 time: 0.5711 data_time: 0.0280 memory: 13723 grad_norm: 4.3070 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8372 loss: 0.8372 2022/08/09 08:20:04 - mmengine - INFO - Epoch(train) [47][420/1879] lr: 2.0000e-04 eta: 1:10:47 time: 0.5718 data_time: 0.0291 memory: 13723 grad_norm: 4.5328 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8754 loss: 0.8754 2022/08/09 08:20:16 - mmengine - INFO - Epoch(train) [47][440/1879] lr: 2.0000e-04 eta: 1:10:35 time: 0.6108 data_time: 0.0640 memory: 13723 grad_norm: 4.3464 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8337 loss: 0.8337 2022/08/09 08:20:28 - mmengine - INFO - Epoch(train) [47][460/1879] lr: 2.0000e-04 eta: 1:10:23 time: 0.5891 data_time: 0.0276 memory: 13723 grad_norm: 4.2384 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8732 loss: 0.8732 2022/08/09 08:20:40 - mmengine - INFO - Epoch(train) [47][480/1879] lr: 2.0000e-04 eta: 1:10:11 time: 0.5863 data_time: 0.0278 memory: 13723 grad_norm: 4.5506 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8517 loss: 0.8517 2022/08/09 08:20:51 - mmengine - INFO - Epoch(train) [47][500/1879] lr: 2.0000e-04 eta: 1:09:59 time: 0.5769 data_time: 0.0273 memory: 13723 grad_norm: 4.5099 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9470 loss: 0.9470 2022/08/09 08:21:03 - mmengine - INFO - Epoch(train) [47][520/1879] lr: 2.0000e-04 eta: 1:09:47 time: 0.5713 data_time: 0.0245 memory: 13723 grad_norm: 4.5174 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8892 loss: 0.8892 2022/08/09 08:21:14 - mmengine - INFO - Epoch(train) [47][540/1879] lr: 2.0000e-04 eta: 1:09:35 time: 0.5686 data_time: 0.0277 memory: 13723 grad_norm: 4.2652 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8670 loss: 0.8670 2022/08/09 08:21:26 - mmengine - INFO - Epoch(train) [47][560/1879] lr: 2.0000e-04 eta: 1:09:23 time: 0.5726 data_time: 0.0276 memory: 13723 grad_norm: 4.3244 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0356 loss: 1.0356 2022/08/09 08:21:29 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 08:21:37 - mmengine - INFO - Epoch(train) [47][580/1879] lr: 2.0000e-04 eta: 1:09:11 time: 0.5710 data_time: 0.0250 memory: 13723 grad_norm: 4.6128 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9188 loss: 0.9188 2022/08/09 08:21:48 - mmengine - INFO - Epoch(train) [47][600/1879] lr: 2.0000e-04 eta: 1:08:59 time: 0.5729 data_time: 0.0296 memory: 13723 grad_norm: 4.3897 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8135 loss: 0.8135 2022/08/09 08:22:00 - mmengine - INFO - Epoch(train) [47][620/1879] lr: 2.0000e-04 eta: 1:08:47 time: 0.5720 data_time: 0.0243 memory: 13723 grad_norm: 4.2387 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8363 loss: 0.8363 2022/08/09 08:22:11 - mmengine - INFO - Epoch(train) [47][640/1879] lr: 2.0000e-04 eta: 1:08:35 time: 0.5701 data_time: 0.0290 memory: 13723 grad_norm: 4.4147 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8814 loss: 0.8814 2022/08/09 08:22:23 - mmengine - INFO - Epoch(train) [47][660/1879] lr: 2.0000e-04 eta: 1:08:23 time: 0.5716 data_time: 0.0259 memory: 13723 grad_norm: 4.4577 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7671 loss: 0.7671 2022/08/09 08:22:34 - mmengine - INFO - Epoch(train) [47][680/1879] lr: 2.0000e-04 eta: 1:08:11 time: 0.5649 data_time: 0.0268 memory: 13723 grad_norm: 4.4445 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8835 loss: 0.8835 2022/08/09 08:22:45 - mmengine - INFO - Epoch(train) [47][700/1879] lr: 2.0000e-04 eta: 1:07:59 time: 0.5630 data_time: 0.0258 memory: 13723 grad_norm: 4.4470 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8049 loss: 0.8049 2022/08/09 08:22:57 - mmengine - INFO - Epoch(train) [47][720/1879] lr: 2.0000e-04 eta: 1:07:47 time: 0.5723 data_time: 0.0265 memory: 13723 grad_norm: 4.4120 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9808 loss: 0.9808 2022/08/09 08:23:08 - mmengine - INFO - Epoch(train) [47][740/1879] lr: 2.0000e-04 eta: 1:07:35 time: 0.5713 data_time: 0.0265 memory: 13723 grad_norm: 4.4564 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9024 loss: 0.9024 2022/08/09 08:23:20 - mmengine - INFO - Epoch(train) [47][760/1879] lr: 2.0000e-04 eta: 1:07:23 time: 0.5753 data_time: 0.0275 memory: 13723 grad_norm: 4.3058 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7398 loss: 0.7398 2022/08/09 08:23:31 - mmengine - INFO - Epoch(train) [47][780/1879] lr: 2.0000e-04 eta: 1:07:11 time: 0.5833 data_time: 0.0266 memory: 13723 grad_norm: 4.4550 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8575 loss: 0.8575 2022/08/09 08:23:43 - mmengine - INFO - Epoch(train) [47][800/1879] lr: 2.0000e-04 eta: 1:06:59 time: 0.5671 data_time: 0.0242 memory: 13723 grad_norm: 4.3118 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7836 loss: 0.7836 2022/08/09 08:23:54 - mmengine - INFO - Epoch(train) [47][820/1879] lr: 2.0000e-04 eta: 1:06:47 time: 0.5634 data_time: 0.0240 memory: 13723 grad_norm: 4.3980 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8137 loss: 0.8137 2022/08/09 08:24:06 - mmengine - INFO - Epoch(train) [47][840/1879] lr: 2.0000e-04 eta: 1:06:35 time: 0.5821 data_time: 0.0261 memory: 13723 grad_norm: 4.4536 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8741 loss: 0.8741 2022/08/09 08:24:17 - mmengine - INFO - Epoch(train) [47][860/1879] lr: 2.0000e-04 eta: 1:06:23 time: 0.5615 data_time: 0.0257 memory: 13723 grad_norm: 4.4416 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9427 loss: 0.9427 2022/08/09 08:24:28 - mmengine - INFO - Epoch(train) [47][880/1879] lr: 2.0000e-04 eta: 1:06:11 time: 0.5706 data_time: 0.0250 memory: 13723 grad_norm: 4.3555 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8064 loss: 0.8064 2022/08/09 08:24:40 - mmengine - INFO - Epoch(train) [47][900/1879] lr: 2.0000e-04 eta: 1:05:59 time: 0.5698 data_time: 0.0252 memory: 13723 grad_norm: 4.3299 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9934 loss: 0.9934 2022/08/09 08:24:51 - mmengine - INFO - Epoch(train) [47][920/1879] lr: 2.0000e-04 eta: 1:05:47 time: 0.5704 data_time: 0.0257 memory: 13723 grad_norm: 4.2556 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8037 loss: 0.8037 2022/08/09 08:25:03 - mmengine - INFO - Epoch(train) [47][940/1879] lr: 2.0000e-04 eta: 1:05:35 time: 0.5680 data_time: 0.0275 memory: 13723 grad_norm: 4.4307 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9242 loss: 0.9242 2022/08/09 08:25:14 - mmengine - INFO - Epoch(train) [47][960/1879] lr: 2.0000e-04 eta: 1:05:23 time: 0.5680 data_time: 0.0288 memory: 13723 grad_norm: 4.5133 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7438 loss: 0.7438 2022/08/09 08:25:26 - mmengine - INFO - Epoch(train) [47][980/1879] lr: 2.0000e-04 eta: 1:05:11 time: 0.5863 data_time: 0.0295 memory: 13723 grad_norm: 4.3617 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8669 loss: 0.8669 2022/08/09 08:25:37 - mmengine - INFO - Epoch(train) [47][1000/1879] lr: 2.0000e-04 eta: 1:04:59 time: 0.5805 data_time: 0.0259 memory: 13723 grad_norm: 4.2463 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8343 loss: 0.8343 2022/08/09 08:25:49 - mmengine - INFO - Epoch(train) [47][1020/1879] lr: 2.0000e-04 eta: 1:04:47 time: 0.5729 data_time: 0.0256 memory: 13723 grad_norm: 4.3677 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7195 loss: 0.7195 2022/08/09 08:26:00 - mmengine - INFO - Epoch(train) [47][1040/1879] lr: 2.0000e-04 eta: 1:04:35 time: 0.5755 data_time: 0.0277 memory: 13723 grad_norm: 4.4382 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8206 loss: 0.8206 2022/08/09 08:26:12 - mmengine - INFO - Epoch(train) [47][1060/1879] lr: 2.0000e-04 eta: 1:04:23 time: 0.5674 data_time: 0.0256 memory: 13723 grad_norm: 4.4559 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8172 loss: 0.8172 2022/08/09 08:26:23 - mmengine - INFO - Epoch(train) [47][1080/1879] lr: 2.0000e-04 eta: 1:04:11 time: 0.5722 data_time: 0.0292 memory: 13723 grad_norm: 4.3096 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8723 loss: 0.8723 2022/08/09 08:26:35 - mmengine - INFO - Epoch(train) [47][1100/1879] lr: 2.0000e-04 eta: 1:03:59 time: 0.5663 data_time: 0.0258 memory: 13723 grad_norm: 4.3925 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9051 loss: 0.9051 2022/08/09 08:26:46 - mmengine - INFO - Epoch(train) [47][1120/1879] lr: 2.0000e-04 eta: 1:03:47 time: 0.5727 data_time: 0.0249 memory: 13723 grad_norm: 4.4910 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7936 loss: 0.7936 2022/08/09 08:26:57 - mmengine - INFO - Epoch(train) [47][1140/1879] lr: 2.0000e-04 eta: 1:03:35 time: 0.5674 data_time: 0.0257 memory: 13723 grad_norm: 4.3148 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8245 loss: 0.8245 2022/08/09 08:27:09 - mmengine - INFO - Epoch(train) [47][1160/1879] lr: 2.0000e-04 eta: 1:03:22 time: 0.5691 data_time: 0.0268 memory: 13723 grad_norm: 4.5021 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9717 loss: 0.9717 2022/08/09 08:27:20 - mmengine - INFO - Epoch(train) [47][1180/1879] lr: 2.0000e-04 eta: 1:03:10 time: 0.5679 data_time: 0.0257 memory: 13723 grad_norm: 4.5373 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8569 loss: 0.8569 2022/08/09 08:27:32 - mmengine - INFO - Epoch(train) [47][1200/1879] lr: 2.0000e-04 eta: 1:02:58 time: 0.5695 data_time: 0.0270 memory: 13723 grad_norm: 4.4000 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7779 loss: 0.7779 2022/08/09 08:27:43 - mmengine - INFO - Epoch(train) [47][1220/1879] lr: 2.0000e-04 eta: 1:02:46 time: 0.5662 data_time: 0.0262 memory: 13723 grad_norm: 4.2386 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7770 loss: 0.7770 2022/08/09 08:27:54 - mmengine - INFO - Epoch(train) [47][1240/1879] lr: 2.0000e-04 eta: 1:02:34 time: 0.5692 data_time: 0.0262 memory: 13723 grad_norm: 4.4345 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9225 loss: 0.9225 2022/08/09 08:28:06 - mmengine - INFO - Epoch(train) [47][1260/1879] lr: 2.0000e-04 eta: 1:02:22 time: 0.5704 data_time: 0.0285 memory: 13723 grad_norm: 4.4518 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7678 loss: 0.7678 2022/08/09 08:28:17 - mmengine - INFO - Epoch(train) [47][1280/1879] lr: 2.0000e-04 eta: 1:02:10 time: 0.5707 data_time: 0.0239 memory: 13723 grad_norm: 4.4153 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8581 loss: 0.8581 2022/08/09 08:28:29 - mmengine - INFO - Epoch(train) [47][1300/1879] lr: 2.0000e-04 eta: 1:01:58 time: 0.5741 data_time: 0.0278 memory: 13723 grad_norm: 4.2652 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9279 loss: 0.9279 2022/08/09 08:28:40 - mmengine - INFO - Epoch(train) [47][1320/1879] lr: 2.0000e-04 eta: 1:01:46 time: 0.5697 data_time: 0.0269 memory: 13723 grad_norm: 4.1598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7497 loss: 0.7497 2022/08/09 08:28:52 - mmengine - INFO - Epoch(train) [47][1340/1879] lr: 2.0000e-04 eta: 1:01:34 time: 0.5773 data_time: 0.0254 memory: 13723 grad_norm: 4.2277 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8242 loss: 0.8242 2022/08/09 08:29:03 - mmengine - INFO - Epoch(train) [47][1360/1879] lr: 2.0000e-04 eta: 1:01:22 time: 0.5793 data_time: 0.0257 memory: 13723 grad_norm: 4.4760 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7525 loss: 0.7525 2022/08/09 08:29:15 - mmengine - INFO - Epoch(train) [47][1380/1879] lr: 2.0000e-04 eta: 1:01:10 time: 0.5813 data_time: 0.0239 memory: 13723 grad_norm: 4.3252 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9554 loss: 0.9554 2022/08/09 08:29:26 - mmengine - INFO - Epoch(train) [47][1400/1879] lr: 2.0000e-04 eta: 1:00:58 time: 0.5795 data_time: 0.0273 memory: 13723 grad_norm: 4.3603 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7213 loss: 0.7213 2022/08/09 08:29:38 - mmengine - INFO - Epoch(train) [47][1420/1879] lr: 2.0000e-04 eta: 1:00:46 time: 0.5792 data_time: 0.0255 memory: 13723 grad_norm: 4.3510 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8715 loss: 0.8715 2022/08/09 08:29:49 - mmengine - INFO - Epoch(train) [47][1440/1879] lr: 2.0000e-04 eta: 1:00:34 time: 0.5661 data_time: 0.0284 memory: 13723 grad_norm: 4.4967 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8386 loss: 0.8386 2022/08/09 08:30:01 - mmengine - INFO - Epoch(train) [47][1460/1879] lr: 2.0000e-04 eta: 1:00:22 time: 0.5701 data_time: 0.0241 memory: 13723 grad_norm: 4.3503 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8884 loss: 0.8884 2022/08/09 08:30:14 - mmengine - INFO - Epoch(train) [47][1480/1879] lr: 2.0000e-04 eta: 1:00:11 time: 0.6405 data_time: 0.0259 memory: 13723 grad_norm: 4.2673 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7322 loss: 0.7322 2022/08/09 08:30:27 - mmengine - INFO - Epoch(train) [47][1500/1879] lr: 2.0000e-04 eta: 0:59:59 time: 0.6543 data_time: 0.0280 memory: 13723 grad_norm: 4.5099 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8663 loss: 0.8663 2022/08/09 08:30:39 - mmengine - INFO - Epoch(train) [47][1520/1879] lr: 2.0000e-04 eta: 0:59:47 time: 0.6302 data_time: 0.0279 memory: 13723 grad_norm: 4.2957 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8753 loss: 0.8753 2022/08/09 08:30:51 - mmengine - INFO - Epoch(train) [47][1540/1879] lr: 2.0000e-04 eta: 0:59:35 time: 0.6101 data_time: 0.0248 memory: 13723 grad_norm: 4.4104 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7369 loss: 0.7369 2022/08/09 08:31:03 - mmengine - INFO - Epoch(train) [47][1560/1879] lr: 2.0000e-04 eta: 0:59:23 time: 0.5837 data_time: 0.0262 memory: 13723 grad_norm: 4.2404 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6757 loss: 0.6757 2022/08/09 08:31:07 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 08:31:15 - mmengine - INFO - Epoch(train) [47][1580/1879] lr: 2.0000e-04 eta: 0:59:11 time: 0.5670 data_time: 0.0242 memory: 13723 grad_norm: 4.4171 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7841 loss: 0.7841 2022/08/09 08:31:26 - mmengine - INFO - Epoch(train) [47][1600/1879] lr: 2.0000e-04 eta: 0:58:59 time: 0.5678 data_time: 0.0263 memory: 13723 grad_norm: 4.2745 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7794 loss: 0.7794 2022/08/09 08:31:37 - mmengine - INFO - Epoch(train) [47][1620/1879] lr: 2.0000e-04 eta: 0:58:47 time: 0.5704 data_time: 0.0252 memory: 13723 grad_norm: 4.4156 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9449 loss: 0.9449 2022/08/09 08:31:49 - mmengine - INFO - Epoch(train) [47][1640/1879] lr: 2.0000e-04 eta: 0:58:35 time: 0.5639 data_time: 0.0242 memory: 13723 grad_norm: 4.3478 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8654 loss: 0.8654 2022/08/09 08:32:00 - mmengine - INFO - Epoch(train) [47][1660/1879] lr: 2.0000e-04 eta: 0:58:23 time: 0.5721 data_time: 0.0263 memory: 13723 grad_norm: 4.4798 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7342 loss: 0.7342 2022/08/09 08:32:12 - mmengine - INFO - Epoch(train) [47][1680/1879] lr: 2.0000e-04 eta: 0:58:11 time: 0.5863 data_time: 0.0493 memory: 13723 grad_norm: 4.4012 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9377 loss: 0.9377 2022/08/09 08:32:23 - mmengine - INFO - Epoch(train) [47][1700/1879] lr: 2.0000e-04 eta: 0:57:59 time: 0.5687 data_time: 0.0243 memory: 13723 grad_norm: 4.3674 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8202 loss: 0.8202 2022/08/09 08:32:35 - mmengine - INFO - Epoch(train) [47][1720/1879] lr: 2.0000e-04 eta: 0:57:47 time: 0.5719 data_time: 0.0267 memory: 13723 grad_norm: 4.4677 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7717 loss: 0.7717 2022/08/09 08:32:46 - mmengine - INFO - Epoch(train) [47][1740/1879] lr: 2.0000e-04 eta: 0:57:35 time: 0.5856 data_time: 0.0461 memory: 13723 grad_norm: 4.4852 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9961 loss: 0.9961 2022/08/09 08:32:58 - mmengine - INFO - Epoch(train) [47][1760/1879] lr: 2.0000e-04 eta: 0:57:23 time: 0.5677 data_time: 0.0258 memory: 13723 grad_norm: 4.4587 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7580 loss: 0.7580 2022/08/09 08:33:09 - mmengine - INFO - Epoch(train) [47][1780/1879] lr: 2.0000e-04 eta: 0:57:11 time: 0.5672 data_time: 0.0245 memory: 13723 grad_norm: 4.3827 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9245 loss: 0.9245 2022/08/09 08:33:20 - mmengine - INFO - Epoch(train) [47][1800/1879] lr: 2.0000e-04 eta: 0:56:59 time: 0.5694 data_time: 0.0262 memory: 13723 grad_norm: 4.4812 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8368 loss: 0.8368 2022/08/09 08:33:32 - mmengine - INFO - Epoch(train) [47][1820/1879] lr: 2.0000e-04 eta: 0:56:47 time: 0.5701 data_time: 0.0274 memory: 13723 grad_norm: 4.3772 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9292 loss: 0.9292 2022/08/09 08:33:43 - mmengine - INFO - Epoch(train) [47][1840/1879] lr: 2.0000e-04 eta: 0:56:35 time: 0.5670 data_time: 0.0252 memory: 13723 grad_norm: 4.3583 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8878 loss: 0.8878 2022/08/09 08:33:55 - mmengine - INFO - Epoch(train) [47][1860/1879] lr: 2.0000e-04 eta: 0:56:23 time: 0.5679 data_time: 0.0269 memory: 13723 grad_norm: 4.4565 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8355 loss: 0.8355 2022/08/09 08:34:05 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 08:34:05 - mmengine - INFO - Epoch(train) [47][1879/1879] lr: 2.0000e-04 eta: 0:56:23 time: 0.5529 data_time: 0.0182 memory: 13723 grad_norm: 4.5484 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 0.9486 loss: 0.9486 2022/08/09 08:34:19 - mmengine - INFO - Epoch(val) [47][20/155] eta: 0:01:30 time: 0.6721 data_time: 0.5083 memory: 1829 2022/08/09 08:34:28 - mmengine - INFO - Epoch(val) [47][40/155] eta: 0:00:51 time: 0.4476 data_time: 0.3084 memory: 1829 2022/08/09 08:34:40 - mmengine - INFO - Epoch(val) [47][60/155] eta: 0:00:59 time: 0.6263 data_time: 0.4866 memory: 1829 2022/08/09 08:34:49 - mmengine - INFO - Epoch(val) [47][80/155] eta: 0:00:34 time: 0.4593 data_time: 0.3199 memory: 1829 2022/08/09 08:35:02 - mmengine - INFO - Epoch(val) [47][100/155] eta: 0:00:34 time: 0.6355 data_time: 0.4962 memory: 1829 2022/08/09 08:35:14 - mmengine - INFO - Epoch(val) [47][120/155] eta: 0:00:21 time: 0.6083 data_time: 0.4694 memory: 1829 2022/08/09 08:35:28 - mmengine - INFO - Epoch(val) [47][140/155] eta: 0:00:10 time: 0.6739 data_time: 0.5345 memory: 1829 2022/08/09 08:35:35 - mmengine - INFO - Epoch(val) [47][155/155] acc/top1: 0.7122 acc/top5: 0.9003 acc/mean1: 0.7120 2022/08/09 08:35:51 - mmengine - INFO - Epoch(train) [48][20/1879] lr: 2.0000e-04 eta: 0:55:59 time: 0.8128 data_time: 0.2173 memory: 13723 grad_norm: 4.5934 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0118 loss: 1.0118 2022/08/09 08:36:03 - mmengine - INFO - Epoch(train) [48][40/1879] lr: 2.0000e-04 eta: 0:55:47 time: 0.5792 data_time: 0.0253 memory: 13723 grad_norm: 4.3699 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8650 loss: 0.8650 2022/08/09 08:36:15 - mmengine - INFO - Epoch(train) [48][60/1879] lr: 2.0000e-04 eta: 0:55:35 time: 0.5831 data_time: 0.0266 memory: 13723 grad_norm: 4.4898 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8891 loss: 0.8891 2022/08/09 08:36:26 - mmengine - INFO - Epoch(train) [48][80/1879] lr: 2.0000e-04 eta: 0:55:23 time: 0.5813 data_time: 0.0266 memory: 13723 grad_norm: 4.2837 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7862 loss: 0.7862 2022/08/09 08:36:38 - mmengine - INFO - Epoch(train) [48][100/1879] lr: 2.0000e-04 eta: 0:55:11 time: 0.5764 data_time: 0.0257 memory: 13723 grad_norm: 4.4281 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8484 loss: 0.8484 2022/08/09 08:36:49 - mmengine - INFO - Epoch(train) [48][120/1879] lr: 2.0000e-04 eta: 0:54:59 time: 0.5749 data_time: 0.0283 memory: 13723 grad_norm: 4.4005 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8997 loss: 0.8997 2022/08/09 08:37:01 - mmengine - INFO - Epoch(train) [48][140/1879] lr: 2.0000e-04 eta: 0:54:47 time: 0.5760 data_time: 0.0267 memory: 13723 grad_norm: 4.1745 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7170 loss: 0.7170 2022/08/09 08:37:12 - mmengine - INFO - Epoch(train) [48][160/1879] lr: 2.0000e-04 eta: 0:54:35 time: 0.5669 data_time: 0.0272 memory: 13723 grad_norm: 4.4305 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7570 loss: 0.7570 2022/08/09 08:37:24 - mmengine - INFO - Epoch(train) [48][180/1879] lr: 2.0000e-04 eta: 0:54:23 time: 0.5726 data_time: 0.0267 memory: 13723 grad_norm: 4.4774 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9266 loss: 0.9266 2022/08/09 08:37:35 - mmengine - INFO - Epoch(train) [48][200/1879] lr: 2.0000e-04 eta: 0:54:11 time: 0.5708 data_time: 0.0265 memory: 13723 grad_norm: 4.3095 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8056 loss: 0.8056 2022/08/09 08:37:46 - mmengine - INFO - Epoch(train) [48][220/1879] lr: 2.0000e-04 eta: 0:53:59 time: 0.5717 data_time: 0.0293 memory: 13723 grad_norm: 4.3505 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8979 loss: 0.8979 2022/08/09 08:37:58 - mmengine - INFO - Epoch(train) [48][240/1879] lr: 2.0000e-04 eta: 0:53:47 time: 0.5624 data_time: 0.0261 memory: 13723 grad_norm: 4.4338 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8276 loss: 0.8276 2022/08/09 08:38:09 - mmengine - INFO - Epoch(train) [48][260/1879] lr: 2.0000e-04 eta: 0:53:35 time: 0.5758 data_time: 0.0278 memory: 13723 grad_norm: 4.3448 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9084 loss: 0.9084 2022/08/09 08:38:21 - mmengine - INFO - Epoch(train) [48][280/1879] lr: 2.0000e-04 eta: 0:53:23 time: 0.5710 data_time: 0.0274 memory: 13723 grad_norm: 4.4370 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 0.8522 loss: 0.8522 2022/08/09 08:38:32 - mmengine - INFO - Epoch(train) [48][300/1879] lr: 2.0000e-04 eta: 0:53:11 time: 0.5639 data_time: 0.0243 memory: 13723 grad_norm: 4.5300 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9632 loss: 0.9632 2022/08/09 08:38:43 - mmengine - INFO - Epoch(train) [48][320/1879] lr: 2.0000e-04 eta: 0:52:59 time: 0.5663 data_time: 0.0251 memory: 13723 grad_norm: 4.3234 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7571 loss: 0.7571 2022/08/09 08:38:55 - mmengine - INFO - Epoch(train) [48][340/1879] lr: 2.0000e-04 eta: 0:52:47 time: 0.5712 data_time: 0.0276 memory: 13723 grad_norm: 4.4225 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8483 loss: 0.8483 2022/08/09 08:39:06 - mmengine - INFO - Epoch(train) [48][360/1879] lr: 2.0000e-04 eta: 0:52:35 time: 0.5715 data_time: 0.0266 memory: 13723 grad_norm: 4.3603 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7938 loss: 0.7938 2022/08/09 08:39:18 - mmengine - INFO - Epoch(train) [48][380/1879] lr: 2.0000e-04 eta: 0:52:23 time: 0.5664 data_time: 0.0254 memory: 13723 grad_norm: 4.3904 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7951 loss: 0.7951 2022/08/09 08:39:29 - mmengine - INFO - Epoch(train) [48][400/1879] lr: 2.0000e-04 eta: 0:52:11 time: 0.5717 data_time: 0.0249 memory: 13723 grad_norm: 4.3313 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8138 loss: 0.8138 2022/08/09 08:39:40 - mmengine - INFO - Epoch(train) [48][420/1879] lr: 2.0000e-04 eta: 0:51:59 time: 0.5720 data_time: 0.0265 memory: 13723 grad_norm: 4.3580 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7869 loss: 0.7869 2022/08/09 08:39:52 - mmengine - INFO - Epoch(train) [48][440/1879] lr: 2.0000e-04 eta: 0:51:47 time: 0.5670 data_time: 0.0276 memory: 13723 grad_norm: 4.4463 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9432 loss: 0.9432 2022/08/09 08:40:03 - mmengine - INFO - Epoch(train) [48][460/1879] lr: 2.0000e-04 eta: 0:51:35 time: 0.5778 data_time: 0.0261 memory: 13723 grad_norm: 4.5349 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8977 loss: 0.8977 2022/08/09 08:40:16 - mmengine - INFO - Epoch(train) [48][480/1879] lr: 2.0000e-04 eta: 0:51:23 time: 0.6368 data_time: 0.0367 memory: 13723 grad_norm: 4.3708 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9255 loss: 0.9255 2022/08/09 08:40:28 - mmengine - INFO - Epoch(train) [48][500/1879] lr: 2.0000e-04 eta: 0:51:11 time: 0.6094 data_time: 0.0281 memory: 13723 grad_norm: 4.6428 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8829 loss: 0.8829 2022/08/09 08:40:40 - mmengine - INFO - Epoch(train) [48][520/1879] lr: 2.0000e-04 eta: 0:50:59 time: 0.5915 data_time: 0.0290 memory: 13723 grad_norm: 4.3460 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8286 loss: 0.8286 2022/08/09 08:40:52 - mmengine - INFO - Epoch(train) [48][540/1879] lr: 2.0000e-04 eta: 0:50:47 time: 0.5870 data_time: 0.0283 memory: 13723 grad_norm: 4.2387 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8568 loss: 0.8568 2022/08/09 08:41:04 - mmengine - INFO - Epoch(train) [48][560/1879] lr: 2.0000e-04 eta: 0:50:35 time: 0.5889 data_time: 0.0263 memory: 13723 grad_norm: 4.4229 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8776 loss: 0.8776 2022/08/09 08:41:15 - mmengine - INFO - Epoch(train) [48][580/1879] lr: 2.0000e-04 eta: 0:50:23 time: 0.5776 data_time: 0.0260 memory: 13723 grad_norm: 4.3357 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8154 loss: 0.8154 2022/08/09 08:41:27 - mmengine - INFO - Epoch(train) [48][600/1879] lr: 2.0000e-04 eta: 0:50:11 time: 0.5681 data_time: 0.0255 memory: 13723 grad_norm: 4.4405 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8772 loss: 0.8772 2022/08/09 08:41:38 - mmengine - INFO - Epoch(train) [48][620/1879] lr: 2.0000e-04 eta: 0:49:59 time: 0.5669 data_time: 0.0281 memory: 13723 grad_norm: 4.3883 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8789 loss: 0.8789 2022/08/09 08:41:49 - mmengine - INFO - Epoch(train) [48][640/1879] lr: 2.0000e-04 eta: 0:49:47 time: 0.5699 data_time: 0.0245 memory: 13723 grad_norm: 4.3321 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7886 loss: 0.7886 2022/08/09 08:42:01 - mmengine - INFO - Epoch(train) [48][660/1879] lr: 2.0000e-04 eta: 0:49:35 time: 0.5672 data_time: 0.0275 memory: 13723 grad_norm: 4.4416 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8398 loss: 0.8398 2022/08/09 08:42:12 - mmengine - INFO - Epoch(train) [48][680/1879] lr: 2.0000e-04 eta: 0:49:23 time: 0.5710 data_time: 0.0267 memory: 13723 grad_norm: 4.2826 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7918 loss: 0.7918 2022/08/09 08:42:16 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 08:42:24 - mmengine - INFO - Epoch(train) [48][700/1879] lr: 2.0000e-04 eta: 0:49:11 time: 0.5682 data_time: 0.0256 memory: 13723 grad_norm: 4.3451 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7729 loss: 0.7729 2022/08/09 08:42:35 - mmengine - INFO - Epoch(train) [48][720/1879] lr: 2.0000e-04 eta: 0:49:00 time: 0.5689 data_time: 0.0277 memory: 13723 grad_norm: 4.4506 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7477 loss: 0.7477 2022/08/09 08:42:46 - mmengine - INFO - Epoch(train) [48][740/1879] lr: 2.0000e-04 eta: 0:48:48 time: 0.5739 data_time: 0.0265 memory: 13723 grad_norm: 4.5014 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7943 loss: 0.7943 2022/08/09 08:42:58 - mmengine - INFO - Epoch(train) [48][760/1879] lr: 2.0000e-04 eta: 0:48:36 time: 0.5660 data_time: 0.0240 memory: 13723 grad_norm: 4.3347 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8087 loss: 0.8087 2022/08/09 08:43:09 - mmengine - INFO - Epoch(train) [48][780/1879] lr: 2.0000e-04 eta: 0:48:24 time: 0.5702 data_time: 0.0266 memory: 13723 grad_norm: 4.5216 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8189 loss: 0.8189 2022/08/09 08:43:21 - mmengine - INFO - Epoch(train) [48][800/1879] lr: 2.0000e-04 eta: 0:48:12 time: 0.5742 data_time: 0.0298 memory: 13723 grad_norm: 4.4775 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8450 loss: 0.8450 2022/08/09 08:43:32 - mmengine - INFO - Epoch(train) [48][820/1879] lr: 2.0000e-04 eta: 0:48:00 time: 0.5674 data_time: 0.0260 memory: 13723 grad_norm: 4.4628 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8213 loss: 0.8213 2022/08/09 08:43:44 - mmengine - INFO - Epoch(train) [48][840/1879] lr: 2.0000e-04 eta: 0:47:48 time: 0.5740 data_time: 0.0288 memory: 13723 grad_norm: 4.2837 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8719 loss: 0.8719 2022/08/09 08:43:55 - mmengine - INFO - Epoch(train) [48][860/1879] lr: 2.0000e-04 eta: 0:47:36 time: 0.5683 data_time: 0.0256 memory: 13723 grad_norm: 4.4231 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7483 loss: 0.7483 2022/08/09 08:44:06 - mmengine - INFO - Epoch(train) [48][880/1879] lr: 2.0000e-04 eta: 0:47:24 time: 0.5717 data_time: 0.0252 memory: 13723 grad_norm: 4.3959 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9148 loss: 0.9148 2022/08/09 08:44:18 - mmengine - INFO - Epoch(train) [48][900/1879] lr: 2.0000e-04 eta: 0:47:12 time: 0.5702 data_time: 0.0265 memory: 13723 grad_norm: 4.3886 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7455 loss: 0.7455 2022/08/09 08:44:29 - mmengine - INFO - Epoch(train) [48][920/1879] lr: 2.0000e-04 eta: 0:47:00 time: 0.5676 data_time: 0.0282 memory: 13723 grad_norm: 4.4050 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8958 loss: 0.8958 2022/08/09 08:44:41 - mmengine - INFO - Epoch(train) [48][940/1879] lr: 2.0000e-04 eta: 0:46:48 time: 0.5710 data_time: 0.0270 memory: 13723 grad_norm: 4.4927 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8094 loss: 0.8094 2022/08/09 08:44:52 - mmengine - INFO - Epoch(train) [48][960/1879] lr: 2.0000e-04 eta: 0:46:36 time: 0.5642 data_time: 0.0250 memory: 13723 grad_norm: 4.4603 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7488 loss: 0.7488 2022/08/09 08:45:03 - mmengine - INFO - Epoch(train) [48][980/1879] lr: 2.0000e-04 eta: 0:46:24 time: 0.5663 data_time: 0.0264 memory: 13723 grad_norm: 4.4514 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8114 loss: 0.8114 2022/08/09 08:45:15 - mmengine - INFO - Epoch(train) [48][1000/1879] lr: 2.0000e-04 eta: 0:46:12 time: 0.5883 data_time: 0.0515 memory: 13723 grad_norm: 4.4397 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7339 loss: 0.7339 2022/08/09 08:45:27 - mmengine - INFO - Epoch(train) [48][1020/1879] lr: 2.0000e-04 eta: 0:46:00 time: 0.5870 data_time: 0.0246 memory: 13723 grad_norm: 4.4811 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8338 loss: 0.8338 2022/08/09 08:45:38 - mmengine - INFO - Epoch(train) [48][1040/1879] lr: 2.0000e-04 eta: 0:45:48 time: 0.5673 data_time: 0.0254 memory: 13723 grad_norm: 4.6245 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7332 loss: 0.7332 2022/08/09 08:45:50 - mmengine - INFO - Epoch(train) [48][1060/1879] lr: 2.0000e-04 eta: 0:45:36 time: 0.5689 data_time: 0.0250 memory: 13723 grad_norm: 4.3751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8069 loss: 0.8069 2022/08/09 08:46:01 - mmengine - INFO - Epoch(train) [48][1080/1879] lr: 2.0000e-04 eta: 0:45:24 time: 0.5680 data_time: 0.0256 memory: 13723 grad_norm: 4.2543 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7904 loss: 0.7904 2022/08/09 08:46:12 - mmengine - INFO - Epoch(train) [48][1100/1879] lr: 2.0000e-04 eta: 0:45:12 time: 0.5668 data_time: 0.0260 memory: 13723 grad_norm: 4.4050 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8785 loss: 0.8785 2022/08/09 08:46:23 - mmengine - INFO - Epoch(train) [48][1120/1879] lr: 2.0000e-04 eta: 0:45:00 time: 0.5617 data_time: 0.0249 memory: 13723 grad_norm: 4.3441 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6824 loss: 0.6824 2022/08/09 08:46:35 - mmengine - INFO - Epoch(train) [48][1140/1879] lr: 2.0000e-04 eta: 0:44:48 time: 0.5735 data_time: 0.0272 memory: 13723 grad_norm: 4.3300 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8665 loss: 0.8665 2022/08/09 08:46:46 - mmengine - INFO - Epoch(train) [48][1160/1879] lr: 2.0000e-04 eta: 0:44:36 time: 0.5670 data_time: 0.0257 memory: 13723 grad_norm: 4.5321 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0532 loss: 1.0532 2022/08/09 08:46:58 - mmengine - INFO - Epoch(train) [48][1180/1879] lr: 2.0000e-04 eta: 0:44:24 time: 0.5706 data_time: 0.0266 memory: 13723 grad_norm: 4.3488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8145 loss: 0.8145 2022/08/09 08:47:09 - mmengine - INFO - Epoch(train) [48][1200/1879] lr: 2.0000e-04 eta: 0:44:12 time: 0.5699 data_time: 0.0241 memory: 13723 grad_norm: 4.3402 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8209 loss: 0.8209 2022/08/09 08:47:21 - mmengine - INFO - Epoch(train) [48][1220/1879] lr: 2.0000e-04 eta: 0:44:00 time: 0.5724 data_time: 0.0268 memory: 13723 grad_norm: 4.4343 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8146 loss: 0.8146 2022/08/09 08:47:32 - mmengine - INFO - Epoch(train) [48][1240/1879] lr: 2.0000e-04 eta: 0:43:48 time: 0.5676 data_time: 0.0259 memory: 13723 grad_norm: 4.3004 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7954 loss: 0.7954 2022/08/09 08:47:43 - mmengine - INFO - Epoch(train) [48][1260/1879] lr: 2.0000e-04 eta: 0:43:36 time: 0.5719 data_time: 0.0260 memory: 13723 grad_norm: 4.3465 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7803 loss: 0.7803 2022/08/09 08:47:55 - mmengine - INFO - Epoch(train) [48][1280/1879] lr: 2.0000e-04 eta: 0:43:24 time: 0.5692 data_time: 0.0267 memory: 13723 grad_norm: 4.4342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8131 loss: 0.8131 2022/08/09 08:48:06 - mmengine - INFO - Epoch(train) [48][1300/1879] lr: 2.0000e-04 eta: 0:43:12 time: 0.5662 data_time: 0.0254 memory: 13723 grad_norm: 4.3773 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9246 loss: 0.9246 2022/08/09 08:48:18 - mmengine - INFO - Epoch(train) [48][1320/1879] lr: 2.0000e-04 eta: 0:43:00 time: 0.5713 data_time: 0.0292 memory: 13723 grad_norm: 4.4612 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9465 loss: 0.9465 2022/08/09 08:48:29 - mmengine - INFO - Epoch(train) [48][1340/1879] lr: 2.0000e-04 eta: 0:42:48 time: 0.5710 data_time: 0.0279 memory: 13723 grad_norm: 4.4438 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7306 loss: 0.7306 2022/08/09 08:48:41 - mmengine - INFO - Epoch(train) [48][1360/1879] lr: 2.0000e-04 eta: 0:42:36 time: 0.5737 data_time: 0.0272 memory: 13723 grad_norm: 4.4983 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8370 loss: 0.8370 2022/08/09 08:48:52 - mmengine - INFO - Epoch(train) [48][1380/1879] lr: 2.0000e-04 eta: 0:42:24 time: 0.5696 data_time: 0.0277 memory: 13723 grad_norm: 4.5438 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8070 loss: 0.8070 2022/08/09 08:49:03 - mmengine - INFO - Epoch(train) [48][1400/1879] lr: 2.0000e-04 eta: 0:42:12 time: 0.5660 data_time: 0.0262 memory: 13723 grad_norm: 4.3207 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8669 loss: 0.8669 2022/08/09 08:49:15 - mmengine - INFO - Epoch(train) [48][1420/1879] lr: 2.0000e-04 eta: 0:42:00 time: 0.5695 data_time: 0.0281 memory: 13723 grad_norm: 4.2893 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6080 loss: 0.6080 2022/08/09 08:49:26 - mmengine - INFO - Epoch(train) [48][1440/1879] lr: 2.0000e-04 eta: 0:41:48 time: 0.5681 data_time: 0.0269 memory: 13723 grad_norm: 4.3007 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7685 loss: 0.7685 2022/08/09 08:49:37 - mmengine - INFO - Epoch(train) [48][1460/1879] lr: 2.0000e-04 eta: 0:41:36 time: 0.5722 data_time: 0.0287 memory: 13723 grad_norm: 4.4293 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7793 loss: 0.7793 2022/08/09 08:49:49 - mmengine - INFO - Epoch(train) [48][1480/1879] lr: 2.0000e-04 eta: 0:41:24 time: 0.5675 data_time: 0.0267 memory: 13723 grad_norm: 4.3996 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8701 loss: 0.8701 2022/08/09 08:50:00 - mmengine - INFO - Epoch(train) [48][1500/1879] lr: 2.0000e-04 eta: 0:41:12 time: 0.5719 data_time: 0.0267 memory: 13723 grad_norm: 4.2873 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7967 loss: 0.7967 2022/08/09 08:50:12 - mmengine - INFO - Epoch(train) [48][1520/1879] lr: 2.0000e-04 eta: 0:41:00 time: 0.5672 data_time: 0.0300 memory: 13723 grad_norm: 4.4279 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7133 loss: 0.7133 2022/08/09 08:50:23 - mmengine - INFO - Epoch(train) [48][1540/1879] lr: 2.0000e-04 eta: 0:40:48 time: 0.5894 data_time: 0.0302 memory: 13723 grad_norm: 4.2656 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8104 loss: 0.8104 2022/08/09 08:50:35 - mmengine - INFO - Epoch(train) [48][1560/1879] lr: 2.0000e-04 eta: 0:40:36 time: 0.5904 data_time: 0.0267 memory: 13723 grad_norm: 4.4425 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8565 loss: 0.8565 2022/08/09 08:50:47 - mmengine - INFO - Epoch(train) [48][1580/1879] lr: 2.0000e-04 eta: 0:40:24 time: 0.5834 data_time: 0.0271 memory: 13723 grad_norm: 4.3347 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7623 loss: 0.7623 2022/08/09 08:50:59 - mmengine - INFO - Epoch(train) [48][1600/1879] lr: 2.0000e-04 eta: 0:40:12 time: 0.5911 data_time: 0.0258 memory: 13723 grad_norm: 4.2686 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7787 loss: 0.7787 2022/08/09 08:51:10 - mmengine - INFO - Epoch(train) [48][1620/1879] lr: 2.0000e-04 eta: 0:40:00 time: 0.5677 data_time: 0.0260 memory: 13723 grad_norm: 4.4898 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8502 loss: 0.8502 2022/08/09 08:51:22 - mmengine - INFO - Epoch(train) [48][1640/1879] lr: 2.0000e-04 eta: 0:39:48 time: 0.5694 data_time: 0.0266 memory: 13723 grad_norm: 4.4308 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9408 loss: 0.9408 2022/08/09 08:51:33 - mmengine - INFO - Epoch(train) [48][1660/1879] lr: 2.0000e-04 eta: 0:39:36 time: 0.5684 data_time: 0.0254 memory: 13723 grad_norm: 4.4499 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7305 loss: 0.7305 2022/08/09 08:51:44 - mmengine - INFO - Epoch(train) [48][1680/1879] lr: 2.0000e-04 eta: 0:39:24 time: 0.5732 data_time: 0.0261 memory: 13723 grad_norm: 4.4380 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9767 loss: 0.9767 2022/08/09 08:51:48 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 08:51:56 - mmengine - INFO - Epoch(train) [48][1700/1879] lr: 2.0000e-04 eta: 0:39:12 time: 0.5671 data_time: 0.0259 memory: 13723 grad_norm: 4.3758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8691 loss: 0.8691 2022/08/09 08:52:07 - mmengine - INFO - Epoch(train) [48][1720/1879] lr: 2.0000e-04 eta: 0:39:00 time: 0.5760 data_time: 0.0266 memory: 13723 grad_norm: 4.3894 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6319 loss: 0.6319 2022/08/09 08:52:19 - mmengine - INFO - Epoch(train) [48][1740/1879] lr: 2.0000e-04 eta: 0:38:48 time: 0.5696 data_time: 0.0273 memory: 13723 grad_norm: 4.3562 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7812 loss: 0.7812 2022/08/09 08:52:30 - mmengine - INFO - Epoch(train) [48][1760/1879] lr: 2.0000e-04 eta: 0:38:36 time: 0.5729 data_time: 0.0280 memory: 13723 grad_norm: 4.4073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8235 loss: 0.8235 2022/08/09 08:52:41 - mmengine - INFO - Epoch(train) [48][1780/1879] lr: 2.0000e-04 eta: 0:38:25 time: 0.5650 data_time: 0.0250 memory: 13723 grad_norm: 4.3218 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7950 loss: 0.7950 2022/08/09 08:52:53 - mmengine - INFO - Epoch(train) [48][1800/1879] lr: 2.0000e-04 eta: 0:38:13 time: 0.5669 data_time: 0.0279 memory: 13723 grad_norm: 4.4119 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9177 loss: 0.9177 2022/08/09 08:53:04 - mmengine - INFO - Epoch(train) [48][1820/1879] lr: 2.0000e-04 eta: 0:38:01 time: 0.5654 data_time: 0.0255 memory: 13723 grad_norm: 4.2918 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8290 loss: 0.8290 2022/08/09 08:53:16 - mmengine - INFO - Epoch(train) [48][1840/1879] lr: 2.0000e-04 eta: 0:37:49 time: 0.5678 data_time: 0.0268 memory: 13723 grad_norm: 4.4756 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9338 loss: 0.9338 2022/08/09 08:53:27 - mmengine - INFO - Epoch(train) [48][1860/1879] lr: 2.0000e-04 eta: 0:37:37 time: 0.5668 data_time: 0.0250 memory: 13723 grad_norm: 4.3910 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7939 loss: 0.7939 2022/08/09 08:53:37 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 08:53:37 - mmengine - INFO - Epoch(train) [48][1879/1879] lr: 2.0000e-04 eta: 0:37:37 time: 0.5333 data_time: 0.0201 memory: 13723 grad_norm: 4.3693 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8566 loss: 0.8566 2022/08/09 08:53:37 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/08/09 08:53:52 - mmengine - INFO - Epoch(val) [48][20/155] eta: 0:01:29 time: 0.6663 data_time: 0.5254 memory: 1829 2022/08/09 08:54:01 - mmengine - INFO - Epoch(val) [48][40/155] eta: 0:00:52 time: 0.4584 data_time: 0.3184 memory: 1829 2022/08/09 08:54:13 - mmengine - INFO - Epoch(val) [48][60/155] eta: 0:00:58 time: 0.6107 data_time: 0.4706 memory: 1829 2022/08/09 08:54:23 - mmengine - INFO - Epoch(val) [48][80/155] eta: 0:00:34 time: 0.4664 data_time: 0.3270 memory: 1829 2022/08/09 08:54:35 - mmengine - INFO - Epoch(val) [48][100/155] eta: 0:00:34 time: 0.6264 data_time: 0.4835 memory: 1829 2022/08/09 08:54:44 - mmengine - INFO - Epoch(val) [48][120/155] eta: 0:00:15 time: 0.4511 data_time: 0.3121 memory: 1829 2022/08/09 08:54:57 - mmengine - INFO - Epoch(val) [48][140/155] eta: 0:00:09 time: 0.6602 data_time: 0.5205 memory: 1829 2022/08/09 08:55:09 - mmengine - INFO - Epoch(val) [48][155/155] acc/top1: 0.7136 acc/top5: 0.8998 acc/mean1: 0.7134 2022/08/09 08:55:09 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_47.pth is removed 2022/08/09 08:55:10 - mmengine - INFO - The best checkpoint with 0.7136 acc/top1 at 49 epoch is saved to best_acc/top1_epoch_49.pth. 2022/08/09 08:55:26 - mmengine - INFO - Epoch(train) [49][20/1879] lr: 2.0000e-04 eta: 0:37:13 time: 0.7631 data_time: 0.2117 memory: 13723 grad_norm: 4.3120 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8495 loss: 0.8495 2022/08/09 08:55:37 - mmengine - INFO - Epoch(train) [49][40/1879] lr: 2.0000e-04 eta: 0:37:01 time: 0.5866 data_time: 0.0249 memory: 13723 grad_norm: 4.4532 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7690 loss: 0.7690 2022/08/09 08:55:49 - mmengine - INFO - Epoch(train) [49][60/1879] lr: 2.0000e-04 eta: 0:36:49 time: 0.5864 data_time: 0.0300 memory: 13723 grad_norm: 4.4311 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0220 loss: 1.0220 2022/08/09 08:56:01 - mmengine - INFO - Epoch(train) [49][80/1879] lr: 2.0000e-04 eta: 0:36:37 time: 0.5727 data_time: 0.0242 memory: 13723 grad_norm: 4.5421 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8705 loss: 0.8705 2022/08/09 08:56:12 - mmengine - INFO - Epoch(train) [49][100/1879] lr: 2.0000e-04 eta: 0:36:25 time: 0.5731 data_time: 0.0253 memory: 13723 grad_norm: 4.4150 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8059 loss: 0.8059 2022/08/09 08:56:23 - mmengine - INFO - Epoch(train) [49][120/1879] lr: 2.0000e-04 eta: 0:36:13 time: 0.5676 data_time: 0.0247 memory: 13723 grad_norm: 4.3545 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8470 loss: 0.8470 2022/08/09 08:56:35 - mmengine - INFO - Epoch(train) [49][140/1879] lr: 2.0000e-04 eta: 0:36:01 time: 0.5709 data_time: 0.0261 memory: 13723 grad_norm: 4.4366 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8992 loss: 0.8992 2022/08/09 08:56:46 - mmengine - INFO - Epoch(train) [49][160/1879] lr: 2.0000e-04 eta: 0:35:49 time: 0.5627 data_time: 0.0234 memory: 13723 grad_norm: 4.2454 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7867 loss: 0.7867 2022/08/09 08:56:58 - mmengine - INFO - Epoch(train) [49][180/1879] lr: 2.0000e-04 eta: 0:35:37 time: 0.5706 data_time: 0.0258 memory: 13723 grad_norm: 4.4017 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8583 loss: 0.8583 2022/08/09 08:57:09 - mmengine - INFO - Epoch(train) [49][200/1879] lr: 2.0000e-04 eta: 0:35:25 time: 0.5698 data_time: 0.0271 memory: 13723 grad_norm: 4.3655 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8964 loss: 0.8964 2022/08/09 08:57:20 - mmengine - INFO - Epoch(train) [49][220/1879] lr: 2.0000e-04 eta: 0:35:13 time: 0.5676 data_time: 0.0263 memory: 13723 grad_norm: 4.4673 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9096 loss: 0.9096 2022/08/09 08:57:32 - mmengine - INFO - Epoch(train) [49][240/1879] lr: 2.0000e-04 eta: 0:35:01 time: 0.5790 data_time: 0.0297 memory: 13723 grad_norm: 4.4856 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8880 loss: 0.8880 2022/08/09 08:57:43 - mmengine - INFO - Epoch(train) [49][260/1879] lr: 2.0000e-04 eta: 0:34:49 time: 0.5674 data_time: 0.0269 memory: 13723 grad_norm: 4.2896 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7878 loss: 0.7878 2022/08/09 08:57:55 - mmengine - INFO - Epoch(train) [49][280/1879] lr: 2.0000e-04 eta: 0:34:37 time: 0.5630 data_time: 0.0273 memory: 13723 grad_norm: 4.2274 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7817 loss: 0.7817 2022/08/09 08:58:06 - mmengine - INFO - Epoch(train) [49][300/1879] lr: 2.0000e-04 eta: 0:34:25 time: 0.5745 data_time: 0.0255 memory: 13723 grad_norm: 4.4364 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8026 loss: 0.8026 2022/08/09 08:58:17 - mmengine - INFO - Epoch(train) [49][320/1879] lr: 2.0000e-04 eta: 0:34:13 time: 0.5708 data_time: 0.0294 memory: 13723 grad_norm: 4.4811 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7640 loss: 0.7640 2022/08/09 08:58:29 - mmengine - INFO - Epoch(train) [49][340/1879] lr: 2.0000e-04 eta: 0:34:01 time: 0.5711 data_time: 0.0269 memory: 13723 grad_norm: 4.3846 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8461 loss: 0.8461 2022/08/09 08:58:40 - mmengine - INFO - Epoch(train) [49][360/1879] lr: 2.0000e-04 eta: 0:33:49 time: 0.5774 data_time: 0.0271 memory: 13723 grad_norm: 4.5005 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9072 loss: 0.9072 2022/08/09 08:58:52 - mmengine - INFO - Epoch(train) [49][380/1879] lr: 2.0000e-04 eta: 0:33:38 time: 0.5864 data_time: 0.0293 memory: 13723 grad_norm: 4.5291 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9387 loss: 0.9387 2022/08/09 08:59:04 - mmengine - INFO - Epoch(train) [49][400/1879] lr: 2.0000e-04 eta: 0:33:26 time: 0.5840 data_time: 0.0267 memory: 13723 grad_norm: 4.3676 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9264 loss: 0.9264 2022/08/09 08:59:16 - mmengine - INFO - Epoch(train) [49][420/1879] lr: 2.0000e-04 eta: 0:33:14 time: 0.5822 data_time: 0.0306 memory: 13723 grad_norm: 4.1286 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7876 loss: 0.7876 2022/08/09 08:59:27 - mmengine - INFO - Epoch(train) [49][440/1879] lr: 2.0000e-04 eta: 0:33:02 time: 0.5787 data_time: 0.0271 memory: 13723 grad_norm: 4.2118 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6876 loss: 0.6876 2022/08/09 08:59:39 - mmengine - INFO - Epoch(train) [49][460/1879] lr: 2.0000e-04 eta: 0:32:50 time: 0.5710 data_time: 0.0254 memory: 13723 grad_norm: 4.3175 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8405 loss: 0.8405 2022/08/09 08:59:50 - mmengine - INFO - Epoch(train) [49][480/1879] lr: 2.0000e-04 eta: 0:32:38 time: 0.5726 data_time: 0.0265 memory: 13723 grad_norm: 4.4539 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9571 loss: 0.9571 2022/08/09 09:00:02 - mmengine - INFO - Epoch(train) [49][500/1879] lr: 2.0000e-04 eta: 0:32:26 time: 0.5732 data_time: 0.0256 memory: 13723 grad_norm: 4.4276 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7233 loss: 0.7233 2022/08/09 09:00:14 - mmengine - INFO - Epoch(train) [49][520/1879] lr: 2.0000e-04 eta: 0:32:14 time: 0.6296 data_time: 0.0349 memory: 13723 grad_norm: 4.3094 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7636 loss: 0.7636 2022/08/09 09:00:26 - mmengine - INFO - Epoch(train) [49][540/1879] lr: 2.0000e-04 eta: 0:32:02 time: 0.5981 data_time: 0.0294 memory: 13723 grad_norm: 4.4098 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9286 loss: 0.9286 2022/08/09 09:00:38 - mmengine - INFO - Epoch(train) [49][560/1879] lr: 2.0000e-04 eta: 0:31:50 time: 0.5776 data_time: 0.0325 memory: 13723 grad_norm: 4.2790 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8236 loss: 0.8236 2022/08/09 09:00:49 - mmengine - INFO - Epoch(train) [49][580/1879] lr: 2.0000e-04 eta: 0:31:38 time: 0.5768 data_time: 0.0242 memory: 13723 grad_norm: 4.3830 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8009 loss: 0.8009 2022/08/09 09:01:01 - mmengine - INFO - Epoch(train) [49][600/1879] lr: 2.0000e-04 eta: 0:31:26 time: 0.5716 data_time: 0.0253 memory: 13723 grad_norm: 4.4116 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.7456 loss: 0.7456 2022/08/09 09:01:12 - mmengine - INFO - Epoch(train) [49][620/1879] lr: 2.0000e-04 eta: 0:31:14 time: 0.5662 data_time: 0.0257 memory: 13723 grad_norm: 4.3566 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7895 loss: 0.7895 2022/08/09 09:01:23 - mmengine - INFO - Epoch(train) [49][640/1879] lr: 2.0000e-04 eta: 0:31:02 time: 0.5726 data_time: 0.0277 memory: 13723 grad_norm: 4.4190 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8373 loss: 0.8373 2022/08/09 09:01:35 - mmengine - INFO - Epoch(train) [49][660/1879] lr: 2.0000e-04 eta: 0:30:50 time: 0.5719 data_time: 0.0255 memory: 13723 grad_norm: 4.2972 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8931 loss: 0.8931 2022/08/09 09:01:47 - mmengine - INFO - Epoch(train) [49][680/1879] lr: 2.0000e-04 eta: 0:30:38 time: 0.5823 data_time: 0.0237 memory: 13723 grad_norm: 4.3147 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7657 loss: 0.7657 2022/08/09 09:01:58 - mmengine - INFO - Epoch(train) [49][700/1879] lr: 2.0000e-04 eta: 0:30:26 time: 0.5635 data_time: 0.0259 memory: 13723 grad_norm: 4.5042 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7821 loss: 0.7821 2022/08/09 09:02:09 - mmengine - INFO - Epoch(train) [49][720/1879] lr: 2.0000e-04 eta: 0:30:14 time: 0.5673 data_time: 0.0262 memory: 13723 grad_norm: 4.3174 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7903 loss: 0.7903 2022/08/09 09:02:21 - mmengine - INFO - Epoch(train) [49][740/1879] lr: 2.0000e-04 eta: 0:30:02 time: 0.5679 data_time: 0.0271 memory: 13723 grad_norm: 4.4307 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9949 loss: 0.9949 2022/08/09 09:02:32 - mmengine - INFO - Epoch(train) [49][760/1879] lr: 2.0000e-04 eta: 0:29:50 time: 0.5698 data_time: 0.0279 memory: 13723 grad_norm: 4.4692 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8870 loss: 0.8870 2022/08/09 09:02:44 - mmengine - INFO - Epoch(train) [49][780/1879] lr: 2.0000e-04 eta: 0:29:38 time: 0.5780 data_time: 0.0273 memory: 13723 grad_norm: 4.2944 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7549 loss: 0.7549 2022/08/09 09:02:55 - mmengine - INFO - Epoch(train) [49][800/1879] lr: 2.0000e-04 eta: 0:29:26 time: 0.5638 data_time: 0.0264 memory: 13723 grad_norm: 4.4299 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9412 loss: 0.9412 2022/08/09 09:02:59 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 09:03:06 - mmengine - INFO - Epoch(train) [49][820/1879] lr: 2.0000e-04 eta: 0:29:14 time: 0.5708 data_time: 0.0268 memory: 13723 grad_norm: 4.2892 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8221 loss: 0.8221 2022/08/09 09:03:18 - mmengine - INFO - Epoch(train) [49][840/1879] lr: 2.0000e-04 eta: 0:29:02 time: 0.5660 data_time: 0.0263 memory: 13723 grad_norm: 4.4341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9509 loss: 0.9509 2022/08/09 09:03:29 - mmengine - INFO - Epoch(train) [49][860/1879] lr: 2.0000e-04 eta: 0:28:50 time: 0.5881 data_time: 0.0440 memory: 13723 grad_norm: 4.5178 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7470 loss: 0.7470 2022/08/09 09:03:41 - mmengine - INFO - Epoch(train) [49][880/1879] lr: 2.0000e-04 eta: 0:28:38 time: 0.5678 data_time: 0.0267 memory: 13723 grad_norm: 4.3667 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7303 loss: 0.7303 2022/08/09 09:03:52 - mmengine - INFO - Epoch(train) [49][900/1879] lr: 2.0000e-04 eta: 0:28:27 time: 0.5631 data_time: 0.0247 memory: 13723 grad_norm: 4.4602 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7894 loss: 0.7894 2022/08/09 09:04:03 - mmengine - INFO - Epoch(train) [49][920/1879] lr: 2.0000e-04 eta: 0:28:15 time: 0.5690 data_time: 0.0305 memory: 13723 grad_norm: 4.3110 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7502 loss: 0.7502 2022/08/09 09:04:15 - mmengine - INFO - Epoch(train) [49][940/1879] lr: 2.0000e-04 eta: 0:28:03 time: 0.5723 data_time: 0.0271 memory: 13723 grad_norm: 4.3124 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7021 loss: 0.7021 2022/08/09 09:04:26 - mmengine - INFO - Epoch(train) [49][960/1879] lr: 2.0000e-04 eta: 0:27:51 time: 0.5703 data_time: 0.0265 memory: 13723 grad_norm: 4.4368 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8936 loss: 0.8936 2022/08/09 09:04:38 - mmengine - INFO - Epoch(train) [49][980/1879] lr: 2.0000e-04 eta: 0:27:39 time: 0.5702 data_time: 0.0260 memory: 13723 grad_norm: 4.4135 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7753 loss: 0.7753 2022/08/09 09:04:49 - mmengine - INFO - Epoch(train) [49][1000/1879] lr: 2.0000e-04 eta: 0:27:27 time: 0.5669 data_time: 0.0257 memory: 13723 grad_norm: 4.3577 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7370 loss: 0.7370 2022/08/09 09:05:01 - mmengine - INFO - Epoch(train) [49][1020/1879] lr: 2.0000e-04 eta: 0:27:15 time: 0.5761 data_time: 0.0255 memory: 13723 grad_norm: 4.3163 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7011 loss: 0.7011 2022/08/09 09:05:13 - mmengine - INFO - Epoch(train) [49][1040/1879] lr: 2.0000e-04 eta: 0:27:03 time: 0.6223 data_time: 0.0389 memory: 13723 grad_norm: 4.4394 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8620 loss: 0.8620 2022/08/09 09:05:25 - mmengine - INFO - Epoch(train) [49][1060/1879] lr: 2.0000e-04 eta: 0:26:51 time: 0.6014 data_time: 0.0432 memory: 13723 grad_norm: 4.4407 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9459 loss: 0.9459 2022/08/09 09:05:37 - mmengine - INFO - Epoch(train) [49][1080/1879] lr: 2.0000e-04 eta: 0:26:39 time: 0.5875 data_time: 0.0270 memory: 13723 grad_norm: 4.4745 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8494 loss: 0.8494 2022/08/09 09:05:49 - mmengine - INFO - Epoch(train) [49][1100/1879] lr: 2.0000e-04 eta: 0:26:27 time: 0.5904 data_time: 0.0284 memory: 13723 grad_norm: 4.5307 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8696 loss: 0.8696 2022/08/09 09:06:00 - mmengine - INFO - Epoch(train) [49][1120/1879] lr: 2.0000e-04 eta: 0:26:15 time: 0.5864 data_time: 0.0271 memory: 13723 grad_norm: 4.3892 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7962 loss: 0.7962 2022/08/09 09:06:12 - mmengine - INFO - Epoch(train) [49][1140/1879] lr: 2.0000e-04 eta: 0:26:03 time: 0.5824 data_time: 0.0268 memory: 13723 grad_norm: 4.3794 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8795 loss: 0.8795 2022/08/09 09:06:24 - mmengine - INFO - Epoch(train) [49][1160/1879] lr: 2.0000e-04 eta: 0:25:51 time: 0.5840 data_time: 0.0300 memory: 13723 grad_norm: 4.4921 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8539 loss: 0.8539 2022/08/09 09:06:35 - mmengine - INFO - Epoch(train) [49][1180/1879] lr: 2.0000e-04 eta: 0:25:39 time: 0.5666 data_time: 0.0254 memory: 13723 grad_norm: 4.4687 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7992 loss: 0.7992 2022/08/09 09:06:46 - mmengine - INFO - Epoch(train) [49][1200/1879] lr: 2.0000e-04 eta: 0:25:27 time: 0.5674 data_time: 0.0243 memory: 13723 grad_norm: 4.3391 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7003 loss: 0.7003 2022/08/09 09:06:58 - mmengine - INFO - Epoch(train) [49][1220/1879] lr: 2.0000e-04 eta: 0:25:15 time: 0.5689 data_time: 0.0264 memory: 13723 grad_norm: 4.4969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7919 loss: 0.7919 2022/08/09 09:07:09 - mmengine - INFO - Epoch(train) [49][1240/1879] lr: 2.0000e-04 eta: 0:25:03 time: 0.5653 data_time: 0.0261 memory: 13723 grad_norm: 4.4614 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8935 loss: 0.8935 2022/08/09 09:07:21 - mmengine - INFO - Epoch(train) [49][1260/1879] lr: 2.0000e-04 eta: 0:24:51 time: 0.5746 data_time: 0.0270 memory: 13723 grad_norm: 4.3391 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7403 loss: 0.7403 2022/08/09 09:07:32 - mmengine - INFO - Epoch(train) [49][1280/1879] lr: 2.0000e-04 eta: 0:24:39 time: 0.5687 data_time: 0.0276 memory: 13723 grad_norm: 4.3703 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7857 loss: 0.7857 2022/08/09 09:07:43 - mmengine - INFO - Epoch(train) [49][1300/1879] lr: 2.0000e-04 eta: 0:24:27 time: 0.5698 data_time: 0.0248 memory: 13723 grad_norm: 4.4789 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8532 loss: 0.8532 2022/08/09 09:07:55 - mmengine - INFO - Epoch(train) [49][1320/1879] lr: 2.0000e-04 eta: 0:24:15 time: 0.5951 data_time: 0.0473 memory: 13723 grad_norm: 4.3667 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7809 loss: 0.7809 2022/08/09 09:08:07 - mmengine - INFO - Epoch(train) [49][1340/1879] lr: 2.0000e-04 eta: 0:24:04 time: 0.5654 data_time: 0.0243 memory: 13723 grad_norm: 4.3385 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7693 loss: 0.7693 2022/08/09 09:08:18 - mmengine - INFO - Epoch(train) [49][1360/1879] lr: 2.0000e-04 eta: 0:23:52 time: 0.5679 data_time: 0.0264 memory: 13723 grad_norm: 4.4136 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9288 loss: 0.9288 2022/08/09 09:08:30 - mmengine - INFO - Epoch(train) [49][1380/1879] lr: 2.0000e-04 eta: 0:23:40 time: 0.5703 data_time: 0.0265 memory: 13723 grad_norm: 4.3940 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9146 loss: 0.9146 2022/08/09 09:08:41 - mmengine - INFO - Epoch(train) [49][1400/1879] lr: 2.0000e-04 eta: 0:23:28 time: 0.5699 data_time: 0.0272 memory: 13723 grad_norm: 4.4503 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9380 loss: 0.9380 2022/08/09 09:08:52 - mmengine - INFO - Epoch(train) [49][1420/1879] lr: 2.0000e-04 eta: 0:23:16 time: 0.5692 data_time: 0.0257 memory: 13723 grad_norm: 4.5155 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0536 loss: 1.0536 2022/08/09 09:09:04 - mmengine - INFO - Epoch(train) [49][1440/1879] lr: 2.0000e-04 eta: 0:23:04 time: 0.5980 data_time: 0.0540 memory: 13723 grad_norm: 4.5778 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9146 loss: 0.9146 2022/08/09 09:09:16 - mmengine - INFO - Epoch(train) [49][1460/1879] lr: 2.0000e-04 eta: 0:22:52 time: 0.5766 data_time: 0.0305 memory: 13723 grad_norm: 4.4243 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8898 loss: 0.8898 2022/08/09 09:09:27 - mmengine - INFO - Epoch(train) [49][1480/1879] lr: 2.0000e-04 eta: 0:22:40 time: 0.5644 data_time: 0.0250 memory: 13723 grad_norm: 4.3407 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8835 loss: 0.8835 2022/08/09 09:09:39 - mmengine - INFO - Epoch(train) [49][1500/1879] lr: 2.0000e-04 eta: 0:22:28 time: 0.5739 data_time: 0.0259 memory: 13723 grad_norm: 4.5308 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7671 loss: 0.7671 2022/08/09 09:09:50 - mmengine - INFO - Epoch(train) [49][1520/1879] lr: 2.0000e-04 eta: 0:22:16 time: 0.5665 data_time: 0.0271 memory: 13723 grad_norm: 4.4372 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0246 loss: 1.0246 2022/08/09 09:10:01 - mmengine - INFO - Epoch(train) [49][1540/1879] lr: 2.0000e-04 eta: 0:22:04 time: 0.5706 data_time: 0.0258 memory: 13723 grad_norm: 4.5360 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8923 loss: 0.8923 2022/08/09 09:10:16 - mmengine - INFO - Epoch(train) [49][1560/1879] lr: 2.0000e-04 eta: 0:21:52 time: 0.7133 data_time: 0.1340 memory: 13723 grad_norm: 4.4967 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0771 loss: 1.0771 2022/08/09 09:10:29 - mmengine - INFO - Epoch(train) [49][1580/1879] lr: 2.0000e-04 eta: 0:21:40 time: 0.6476 data_time: 0.0396 memory: 13723 grad_norm: 4.5650 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7992 loss: 0.7992 2022/08/09 09:10:41 - mmengine - INFO - Epoch(train) [49][1600/1879] lr: 2.0000e-04 eta: 0:21:28 time: 0.5982 data_time: 0.0290 memory: 13723 grad_norm: 4.4343 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6644 loss: 0.6644 2022/08/09 09:10:53 - mmengine - INFO - Epoch(train) [49][1620/1879] lr: 2.0000e-04 eta: 0:21:16 time: 0.5995 data_time: 0.0263 memory: 13723 grad_norm: 4.4978 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8781 loss: 0.8781 2022/08/09 09:11:04 - mmengine - INFO - Epoch(train) [49][1640/1879] lr: 2.0000e-04 eta: 0:21:04 time: 0.5907 data_time: 0.0282 memory: 13723 grad_norm: 4.4755 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9146 loss: 0.9146 2022/08/09 09:11:16 - mmengine - INFO - Epoch(train) [49][1660/1879] lr: 2.0000e-04 eta: 0:20:52 time: 0.5788 data_time: 0.0246 memory: 13723 grad_norm: 4.5674 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9028 loss: 0.9028 2022/08/09 09:11:27 - mmengine - INFO - Epoch(train) [49][1680/1879] lr: 2.0000e-04 eta: 0:20:40 time: 0.5706 data_time: 0.0249 memory: 13723 grad_norm: 4.6087 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8433 loss: 0.8433 2022/08/09 09:11:39 - mmengine - INFO - Epoch(train) [49][1700/1879] lr: 2.0000e-04 eta: 0:20:28 time: 0.5740 data_time: 0.0254 memory: 13723 grad_norm: 4.3973 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8099 loss: 0.8099 2022/08/09 09:11:50 - mmengine - INFO - Epoch(train) [49][1720/1879] lr: 2.0000e-04 eta: 0:20:16 time: 0.5672 data_time: 0.0258 memory: 13723 grad_norm: 4.2446 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7959 loss: 0.7959 2022/08/09 09:12:02 - mmengine - INFO - Epoch(train) [49][1740/1879] lr: 2.0000e-04 eta: 0:20:05 time: 0.5697 data_time: 0.0280 memory: 13723 grad_norm: 4.3798 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7090 loss: 0.7090 2022/08/09 09:12:13 - mmengine - INFO - Epoch(train) [49][1760/1879] lr: 2.0000e-04 eta: 0:19:53 time: 0.5670 data_time: 0.0264 memory: 13723 grad_norm: 4.5518 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8574 loss: 0.8574 2022/08/09 09:12:25 - mmengine - INFO - Epoch(train) [49][1780/1879] lr: 2.0000e-04 eta: 0:19:41 time: 0.5729 data_time: 0.0273 memory: 13723 grad_norm: 4.4579 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8663 loss: 0.8663 2022/08/09 09:12:36 - mmengine - INFO - Epoch(train) [49][1800/1879] lr: 2.0000e-04 eta: 0:19:29 time: 0.5933 data_time: 0.0524 memory: 13723 grad_norm: 4.5023 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8001 loss: 0.8001 2022/08/09 09:12:41 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 09:12:48 - mmengine - INFO - Epoch(train) [49][1820/1879] lr: 2.0000e-04 eta: 0:19:17 time: 0.5624 data_time: 0.0245 memory: 13723 grad_norm: 4.4640 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8999 loss: 0.8999 2022/08/09 09:12:59 - mmengine - INFO - Epoch(train) [49][1840/1879] lr: 2.0000e-04 eta: 0:19:05 time: 0.5715 data_time: 0.0265 memory: 13723 grad_norm: 4.3107 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8781 loss: 0.8781 2022/08/09 09:13:10 - mmengine - INFO - Epoch(train) [49][1860/1879] lr: 2.0000e-04 eta: 0:18:53 time: 0.5685 data_time: 0.0238 memory: 13723 grad_norm: 4.4369 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8951 loss: 0.8951 2022/08/09 09:13:21 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 09:13:21 - mmengine - INFO - Epoch(train) [49][1879/1879] lr: 2.0000e-04 eta: 0:18:53 time: 0.5325 data_time: 0.0170 memory: 13723 grad_norm: 4.4034 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.7381 loss: 0.7381 2022/08/09 09:13:34 - mmengine - INFO - Epoch(val) [49][20/155] eta: 0:01:32 time: 0.6849 data_time: 0.5426 memory: 1829 2022/08/09 09:13:43 - mmengine - INFO - Epoch(val) [49][40/155] eta: 0:00:49 time: 0.4344 data_time: 0.2950 memory: 1829 2022/08/09 09:13:55 - mmengine - INFO - Epoch(val) [49][60/155] eta: 0:00:57 time: 0.6041 data_time: 0.4646 memory: 1829 2022/08/09 09:14:05 - mmengine - INFO - Epoch(val) [49][80/155] eta: 0:00:36 time: 0.4842 data_time: 0.3445 memory: 1829 2022/08/09 09:14:17 - mmengine - INFO - Epoch(val) [49][100/155] eta: 0:00:34 time: 0.6277 data_time: 0.4880 memory: 1829 2022/08/09 09:14:26 - mmengine - INFO - Epoch(val) [49][120/155] eta: 0:00:15 time: 0.4484 data_time: 0.3087 memory: 1829 2022/08/09 09:14:40 - mmengine - INFO - Epoch(val) [49][140/155] eta: 0:00:10 time: 0.6727 data_time: 0.5333 memory: 1829 2022/08/09 09:14:48 - mmengine - INFO - Epoch(val) [49][155/155] acc/top1: 0.7136 acc/top5: 0.8995 acc/mean1: 0.7134 2022/08/09 09:15:04 - mmengine - INFO - Epoch(train) [50][20/1879] lr: 2.0000e-04 eta: 0:18:29 time: 0.8088 data_time: 0.1813 memory: 13723 grad_norm: 4.3349 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8571 loss: 0.8571 2022/08/09 09:15:21 - mmengine - INFO - Epoch(train) [50][40/1879] lr: 2.0000e-04 eta: 0:18:18 time: 0.8345 data_time: 0.0649 memory: 13723 grad_norm: 4.3358 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9169 loss: 0.9169 2022/08/09 09:15:33 - mmengine - INFO - Epoch(train) [50][60/1879] lr: 2.0000e-04 eta: 0:18:06 time: 0.5890 data_time: 0.0290 memory: 13723 grad_norm: 4.4319 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7163 loss: 0.7163 2022/08/09 09:15:44 - mmengine - INFO - Epoch(train) [50][80/1879] lr: 2.0000e-04 eta: 0:17:54 time: 0.5779 data_time: 0.0251 memory: 13723 grad_norm: 4.5757 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8354 loss: 0.8354 2022/08/09 09:15:56 - mmengine - INFO - Epoch(train) [50][100/1879] lr: 2.0000e-04 eta: 0:17:42 time: 0.5885 data_time: 0.0288 memory: 13723 grad_norm: 4.4753 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8759 loss: 0.8759 2022/08/09 09:16:08 - mmengine - INFO - Epoch(train) [50][120/1879] lr: 2.0000e-04 eta: 0:17:30 time: 0.5787 data_time: 0.0248 memory: 13723 grad_norm: 4.3457 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7798 loss: 0.7798 2022/08/09 09:16:19 - mmengine - INFO - Epoch(train) [50][140/1879] lr: 2.0000e-04 eta: 0:17:18 time: 0.5807 data_time: 0.0257 memory: 13723 grad_norm: 4.3537 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8901 loss: 0.8901 2022/08/09 09:16:31 - mmengine - INFO - Epoch(train) [50][160/1879] lr: 2.0000e-04 eta: 0:17:06 time: 0.5700 data_time: 0.0271 memory: 13723 grad_norm: 4.3980 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8002 loss: 0.8002 2022/08/09 09:16:42 - mmengine - INFO - Epoch(train) [50][180/1879] lr: 2.0000e-04 eta: 0:16:54 time: 0.5740 data_time: 0.0311 memory: 13723 grad_norm: 4.3727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9245 loss: 0.9245 2022/08/09 09:16:54 - mmengine - INFO - Epoch(train) [50][200/1879] lr: 2.0000e-04 eta: 0:16:42 time: 0.5695 data_time: 0.0275 memory: 13723 grad_norm: 4.4275 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8947 loss: 0.8947 2022/08/09 09:17:05 - mmengine - INFO - Epoch(train) [50][220/1879] lr: 2.0000e-04 eta: 0:16:30 time: 0.5735 data_time: 0.0272 memory: 13723 grad_norm: 4.4182 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8758 loss: 0.8758 2022/08/09 09:17:17 - mmengine - INFO - Epoch(train) [50][240/1879] lr: 2.0000e-04 eta: 0:16:18 time: 0.5715 data_time: 0.0249 memory: 13723 grad_norm: 4.3840 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7789 loss: 0.7789 2022/08/09 09:17:28 - mmengine - INFO - Epoch(train) [50][260/1879] lr: 2.0000e-04 eta: 0:16:06 time: 0.5691 data_time: 0.0264 memory: 13723 grad_norm: 4.4535 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7727 loss: 0.7727 2022/08/09 09:17:39 - mmengine - INFO - Epoch(train) [50][280/1879] lr: 2.0000e-04 eta: 0:15:54 time: 0.5616 data_time: 0.0254 memory: 13723 grad_norm: 4.4157 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9107 loss: 0.9107 2022/08/09 09:17:51 - mmengine - INFO - Epoch(train) [50][300/1879] lr: 2.0000e-04 eta: 0:15:42 time: 0.5695 data_time: 0.0256 memory: 13723 grad_norm: 4.3258 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8593 loss: 0.8593 2022/08/09 09:18:02 - mmengine - INFO - Epoch(train) [50][320/1879] lr: 2.0000e-04 eta: 0:15:30 time: 0.5725 data_time: 0.0272 memory: 13723 grad_norm: 4.4202 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.8960 loss: 0.8960 2022/08/09 09:18:13 - mmengine - INFO - Epoch(train) [50][340/1879] lr: 2.0000e-04 eta: 0:15:18 time: 0.5701 data_time: 0.0247 memory: 13723 grad_norm: 4.4889 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7938 loss: 0.7938 2022/08/09 09:18:25 - mmengine - INFO - Epoch(train) [50][360/1879] lr: 2.0000e-04 eta: 0:15:06 time: 0.5731 data_time: 0.0250 memory: 13723 grad_norm: 4.4381 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8000 loss: 0.8000 2022/08/09 09:18:36 - mmengine - INFO - Epoch(train) [50][380/1879] lr: 2.0000e-04 eta: 0:14:54 time: 0.5680 data_time: 0.0281 memory: 13723 grad_norm: 4.3972 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8292 loss: 0.8292 2022/08/09 09:18:48 - mmengine - INFO - Epoch(train) [50][400/1879] lr: 2.0000e-04 eta: 0:14:42 time: 0.5721 data_time: 0.0255 memory: 13723 grad_norm: 4.3892 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7635 loss: 0.7635 2022/08/09 09:18:59 - mmengine - INFO - Epoch(train) [50][420/1879] lr: 2.0000e-04 eta: 0:14:31 time: 0.5695 data_time: 0.0257 memory: 13723 grad_norm: 4.5699 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9167 loss: 0.9167 2022/08/09 09:19:11 - mmengine - INFO - Epoch(train) [50][440/1879] lr: 2.0000e-04 eta: 0:14:19 time: 0.5709 data_time: 0.0259 memory: 13723 grad_norm: 4.3970 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7282 loss: 0.7282 2022/08/09 09:19:22 - mmengine - INFO - Epoch(train) [50][460/1879] lr: 2.0000e-04 eta: 0:14:07 time: 0.5693 data_time: 0.0257 memory: 13723 grad_norm: 4.4031 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7839 loss: 0.7839 2022/08/09 09:19:33 - mmengine - INFO - Epoch(train) [50][480/1879] lr: 2.0000e-04 eta: 0:13:55 time: 0.5714 data_time: 0.0252 memory: 13723 grad_norm: 4.3244 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0240 loss: 1.0240 2022/08/09 09:19:45 - mmengine - INFO - Epoch(train) [50][500/1879] lr: 2.0000e-04 eta: 0:13:43 time: 0.5656 data_time: 0.0251 memory: 13723 grad_norm: 4.4856 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 0.8340 loss: 0.8340 2022/08/09 09:19:56 - mmengine - INFO - Epoch(train) [50][520/1879] lr: 2.0000e-04 eta: 0:13:31 time: 0.5722 data_time: 0.0280 memory: 13723 grad_norm: 4.5913 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9368 loss: 0.9368 2022/08/09 09:20:09 - mmengine - INFO - Epoch(train) [50][540/1879] lr: 2.0000e-04 eta: 0:13:19 time: 0.6213 data_time: 0.0236 memory: 13723 grad_norm: 4.2987 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8438 loss: 0.8438 2022/08/09 09:20:21 - mmengine - INFO - Epoch(train) [50][560/1879] lr: 2.0000e-04 eta: 0:13:07 time: 0.6330 data_time: 0.0381 memory: 13723 grad_norm: 4.4306 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8619 loss: 0.8619 2022/08/09 09:20:34 - mmengine - INFO - Epoch(train) [50][580/1879] lr: 2.0000e-04 eta: 0:12:55 time: 0.6186 data_time: 0.0463 memory: 13723 grad_norm: 4.4823 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7986 loss: 0.7986 2022/08/09 09:20:46 - mmengine - INFO - Epoch(train) [50][600/1879] lr: 2.0000e-04 eta: 0:12:43 time: 0.6328 data_time: 0.0622 memory: 13723 grad_norm: 4.3809 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6918 loss: 0.6918 2022/08/09 09:20:58 - mmengine - INFO - Epoch(train) [50][620/1879] lr: 2.0000e-04 eta: 0:12:31 time: 0.5889 data_time: 0.0242 memory: 13723 grad_norm: 4.3971 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9409 loss: 0.9409 2022/08/09 09:21:10 - mmengine - INFO - Epoch(train) [50][640/1879] lr: 2.0000e-04 eta: 0:12:19 time: 0.5769 data_time: 0.0259 memory: 13723 grad_norm: 4.3747 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7860 loss: 0.7860 2022/08/09 09:21:21 - mmengine - INFO - Epoch(train) [50][660/1879] lr: 2.0000e-04 eta: 0:12:07 time: 0.5639 data_time: 0.0234 memory: 13723 grad_norm: 4.4303 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8096 loss: 0.8096 2022/08/09 09:21:32 - mmengine - INFO - Epoch(train) [50][680/1879] lr: 2.0000e-04 eta: 0:11:55 time: 0.5693 data_time: 0.0250 memory: 13723 grad_norm: 4.4832 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8861 loss: 0.8861 2022/08/09 09:21:44 - mmengine - INFO - Epoch(train) [50][700/1879] lr: 2.0000e-04 eta: 0:11:43 time: 0.5690 data_time: 0.0251 memory: 13723 grad_norm: 4.4064 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8266 loss: 0.8266 2022/08/09 09:21:55 - mmengine - INFO - Epoch(train) [50][720/1879] lr: 2.0000e-04 eta: 0:11:31 time: 0.5765 data_time: 0.0245 memory: 13723 grad_norm: 4.5354 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8919 loss: 0.8919 2022/08/09 09:22:07 - mmengine - INFO - Epoch(train) [50][740/1879] lr: 2.0000e-04 eta: 0:11:19 time: 0.5644 data_time: 0.0290 memory: 13723 grad_norm: 4.4720 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9035 loss: 0.9035 2022/08/09 09:22:18 - mmengine - INFO - Epoch(train) [50][760/1879] lr: 2.0000e-04 eta: 0:11:07 time: 0.5715 data_time: 0.0259 memory: 13723 grad_norm: 4.3026 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8052 loss: 0.8052 2022/08/09 09:22:29 - mmengine - INFO - Epoch(train) [50][780/1879] lr: 2.0000e-04 eta: 0:10:56 time: 0.5688 data_time: 0.0276 memory: 13723 grad_norm: 4.4388 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9312 loss: 0.9312 2022/08/09 09:22:41 - mmengine - INFO - Epoch(train) [50][800/1879] lr: 2.0000e-04 eta: 0:10:44 time: 0.5662 data_time: 0.0276 memory: 13723 grad_norm: 4.3360 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8684 loss: 0.8684 2022/08/09 09:22:52 - mmengine - INFO - Epoch(train) [50][820/1879] lr: 2.0000e-04 eta: 0:10:32 time: 0.5706 data_time: 0.0266 memory: 13723 grad_norm: 4.4361 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8316 loss: 0.8316 2022/08/09 09:23:04 - mmengine - INFO - Epoch(train) [50][840/1879] lr: 2.0000e-04 eta: 0:10:20 time: 0.5681 data_time: 0.0256 memory: 13723 grad_norm: 4.3402 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8879 loss: 0.8879 2022/08/09 09:23:15 - mmengine - INFO - Epoch(train) [50][860/1879] lr: 2.0000e-04 eta: 0:10:08 time: 0.5726 data_time: 0.0279 memory: 13723 grad_norm: 4.4365 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7691 loss: 0.7691 2022/08/09 09:23:27 - mmengine - INFO - Epoch(train) [50][880/1879] lr: 2.0000e-04 eta: 0:09:56 time: 0.5728 data_time: 0.0272 memory: 13723 grad_norm: 4.4722 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9107 loss: 0.9107 2022/08/09 09:23:38 - mmengine - INFO - Epoch(train) [50][900/1879] lr: 2.0000e-04 eta: 0:09:44 time: 0.5668 data_time: 0.0253 memory: 13723 grad_norm: 4.6027 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9491 loss: 0.9491 2022/08/09 09:23:49 - mmengine - INFO - Epoch(train) [50][920/1879] lr: 2.0000e-04 eta: 0:09:32 time: 0.5720 data_time: 0.0262 memory: 13723 grad_norm: 4.4618 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8622 loss: 0.8622 2022/08/09 09:23:55 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 09:24:01 - mmengine - INFO - Epoch(train) [50][940/1879] lr: 2.0000e-04 eta: 0:09:20 time: 0.5691 data_time: 0.0262 memory: 13723 grad_norm: 4.3932 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7529 loss: 0.7529 2022/08/09 09:24:12 - mmengine - INFO - Epoch(train) [50][960/1879] lr: 2.0000e-04 eta: 0:09:08 time: 0.5697 data_time: 0.0244 memory: 13723 grad_norm: 4.6144 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7723 loss: 0.7723 2022/08/09 09:24:24 - mmengine - INFO - Epoch(train) [50][980/1879] lr: 2.0000e-04 eta: 0:08:56 time: 0.5672 data_time: 0.0278 memory: 13723 grad_norm: 4.4509 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7520 loss: 0.7520 2022/08/09 09:24:35 - mmengine - INFO - Epoch(train) [50][1000/1879] lr: 2.0000e-04 eta: 0:08:44 time: 0.5811 data_time: 0.0312 memory: 13723 grad_norm: 4.3868 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7846 loss: 0.7846 2022/08/09 09:24:47 - mmengine - INFO - Epoch(train) [50][1020/1879] lr: 2.0000e-04 eta: 0:08:32 time: 0.5784 data_time: 0.0271 memory: 13723 grad_norm: 4.4142 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7016 loss: 0.7016 2022/08/09 09:24:58 - mmengine - INFO - Epoch(train) [50][1040/1879] lr: 2.0000e-04 eta: 0:08:20 time: 0.5635 data_time: 0.0247 memory: 13723 grad_norm: 4.2300 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8032 loss: 0.8032 2022/08/09 09:25:09 - mmengine - INFO - Epoch(train) [50][1060/1879] lr: 2.0000e-04 eta: 0:08:08 time: 0.5669 data_time: 0.0237 memory: 13723 grad_norm: 4.4127 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8613 loss: 0.8613 2022/08/09 09:25:21 - mmengine - INFO - Epoch(train) [50][1080/1879] lr: 2.0000e-04 eta: 0:07:56 time: 0.5825 data_time: 0.0283 memory: 13723 grad_norm: 4.4667 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9395 loss: 0.9395 2022/08/09 09:25:33 - mmengine - INFO - Epoch(train) [50][1100/1879] lr: 2.0000e-04 eta: 0:07:44 time: 0.5891 data_time: 0.0289 memory: 13723 grad_norm: 4.4166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7973 loss: 0.7973 2022/08/09 09:25:45 - mmengine - INFO - Epoch(train) [50][1120/1879] lr: 2.0000e-04 eta: 0:07:33 time: 0.5845 data_time: 0.0262 memory: 13723 grad_norm: 4.2787 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7837 loss: 0.7837 2022/08/09 09:25:56 - mmengine - INFO - Epoch(train) [50][1140/1879] lr: 2.0000e-04 eta: 0:07:21 time: 0.5808 data_time: 0.0286 memory: 13723 grad_norm: 4.3859 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7576 loss: 0.7576 2022/08/09 09:26:08 - mmengine - INFO - Epoch(train) [50][1160/1879] lr: 2.0000e-04 eta: 0:07:09 time: 0.5746 data_time: 0.0268 memory: 13723 grad_norm: 4.4099 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8521 loss: 0.8521 2022/08/09 09:26:19 - mmengine - INFO - Epoch(train) [50][1180/1879] lr: 2.0000e-04 eta: 0:06:57 time: 0.5682 data_time: 0.0269 memory: 13723 grad_norm: 4.4019 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7910 loss: 0.7910 2022/08/09 09:26:30 - mmengine - INFO - Epoch(train) [50][1200/1879] lr: 2.0000e-04 eta: 0:06:45 time: 0.5705 data_time: 0.0251 memory: 13723 grad_norm: 4.4167 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7656 loss: 0.7656 2022/08/09 09:26:42 - mmengine - INFO - Epoch(train) [50][1220/1879] lr: 2.0000e-04 eta: 0:06:33 time: 0.5677 data_time: 0.0273 memory: 13723 grad_norm: 4.4036 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7222 loss: 0.7222 2022/08/09 09:26:53 - mmengine - INFO - Epoch(train) [50][1240/1879] lr: 2.0000e-04 eta: 0:06:21 time: 0.5679 data_time: 0.0245 memory: 13723 grad_norm: 4.4788 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8375 loss: 0.8375 2022/08/09 09:27:05 - mmengine - INFO - Epoch(train) [50][1260/1879] lr: 2.0000e-04 eta: 0:06:09 time: 0.5666 data_time: 0.0273 memory: 13723 grad_norm: 4.4312 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7441 loss: 0.7441 2022/08/09 09:27:16 - mmengine - INFO - Epoch(train) [50][1280/1879] lr: 2.0000e-04 eta: 0:05:57 time: 0.5700 data_time: 0.0269 memory: 13723 grad_norm: 4.4373 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7961 loss: 0.7961 2022/08/09 09:27:27 - mmengine - INFO - Epoch(train) [50][1300/1879] lr: 2.0000e-04 eta: 0:05:45 time: 0.5722 data_time: 0.0306 memory: 13723 grad_norm: 4.4133 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9386 loss: 0.9386 2022/08/09 09:27:39 - mmengine - INFO - Epoch(train) [50][1320/1879] lr: 2.0000e-04 eta: 0:05:33 time: 0.5686 data_time: 0.0267 memory: 13723 grad_norm: 4.3703 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8926 loss: 0.8926 2022/08/09 09:27:50 - mmengine - INFO - Epoch(train) [50][1340/1879] lr: 2.0000e-04 eta: 0:05:21 time: 0.5663 data_time: 0.0249 memory: 13723 grad_norm: 4.4551 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9365 loss: 0.9365 2022/08/09 09:28:01 - mmengine - INFO - Epoch(train) [50][1360/1879] lr: 2.0000e-04 eta: 0:05:09 time: 0.5663 data_time: 0.0252 memory: 13723 grad_norm: 4.3822 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8275 loss: 0.8275 2022/08/09 09:28:13 - mmengine - INFO - Epoch(train) [50][1380/1879] lr: 2.0000e-04 eta: 0:04:57 time: 0.5686 data_time: 0.0282 memory: 13723 grad_norm: 4.4855 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8853 loss: 0.8853 2022/08/09 09:28:24 - mmengine - INFO - Epoch(train) [50][1400/1879] lr: 2.0000e-04 eta: 0:04:45 time: 0.5674 data_time: 0.0259 memory: 13723 grad_norm: 4.4555 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8093 loss: 0.8093 2022/08/09 09:28:36 - mmengine - INFO - Epoch(train) [50][1420/1879] lr: 2.0000e-04 eta: 0:04:33 time: 0.5735 data_time: 0.0254 memory: 13723 grad_norm: 4.5593 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8981 loss: 0.8981 2022/08/09 09:28:47 - mmengine - INFO - Epoch(train) [50][1440/1879] lr: 2.0000e-04 eta: 0:04:21 time: 0.5700 data_time: 0.0271 memory: 13723 grad_norm: 4.4506 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8708 loss: 0.8708 2022/08/09 09:28:58 - mmengine - INFO - Epoch(train) [50][1460/1879] lr: 2.0000e-04 eta: 0:04:10 time: 0.5671 data_time: 0.0251 memory: 13723 grad_norm: 4.3938 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7879 loss: 0.7879 2022/08/09 09:29:10 - mmengine - INFO - Epoch(train) [50][1480/1879] lr: 2.0000e-04 eta: 0:03:58 time: 0.5700 data_time: 0.0263 memory: 13723 grad_norm: 4.5192 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9121 loss: 0.9121 2022/08/09 09:29:21 - mmengine - INFO - Epoch(train) [50][1500/1879] lr: 2.0000e-04 eta: 0:03:46 time: 0.5685 data_time: 0.0268 memory: 13723 grad_norm: 4.5006 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8119 loss: 0.8119 2022/08/09 09:29:33 - mmengine - INFO - Epoch(train) [50][1520/1879] lr: 2.0000e-04 eta: 0:03:34 time: 0.5808 data_time: 0.0274 memory: 13723 grad_norm: 4.4318 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7788 loss: 0.7788 2022/08/09 09:29:44 - mmengine - INFO - Epoch(train) [50][1540/1879] lr: 2.0000e-04 eta: 0:03:22 time: 0.5645 data_time: 0.0256 memory: 13723 grad_norm: 4.2302 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7131 loss: 0.7131 2022/08/09 09:29:56 - mmengine - INFO - Epoch(train) [50][1560/1879] lr: 2.0000e-04 eta: 0:03:10 time: 0.5703 data_time: 0.0286 memory: 13723 grad_norm: 4.3498 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8116 loss: 0.8116 2022/08/09 09:30:07 - mmengine - INFO - Epoch(train) [50][1580/1879] lr: 2.0000e-04 eta: 0:02:58 time: 0.5692 data_time: 0.0293 memory: 13723 grad_norm: 4.4786 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7663 loss: 0.7663 2022/08/09 09:30:19 - mmengine - INFO - Epoch(train) [50][1600/1879] lr: 2.0000e-04 eta: 0:02:46 time: 0.6200 data_time: 0.0261 memory: 13723 grad_norm: 4.5625 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9462 loss: 0.9462 2022/08/09 09:30:31 - mmengine - INFO - Epoch(train) [50][1620/1879] lr: 2.0000e-04 eta: 0:02:34 time: 0.5825 data_time: 0.0272 memory: 13723 grad_norm: 4.3936 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8748 loss: 0.8748 2022/08/09 09:30:43 - mmengine - INFO - Epoch(train) [50][1640/1879] lr: 2.0000e-04 eta: 0:02:22 time: 0.5896 data_time: 0.0325 memory: 13723 grad_norm: 4.4161 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8414 loss: 0.8414 2022/08/09 09:30:55 - mmengine - INFO - Epoch(train) [50][1660/1879] lr: 2.0000e-04 eta: 0:02:10 time: 0.5818 data_time: 0.0252 memory: 13723 grad_norm: 4.3692 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9122 loss: 0.9122 2022/08/09 09:31:06 - mmengine - INFO - Epoch(train) [50][1680/1879] lr: 2.0000e-04 eta: 0:01:58 time: 0.5804 data_time: 0.0264 memory: 13723 grad_norm: 4.3428 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7887 loss: 0.7887 2022/08/09 09:31:18 - mmengine - INFO - Epoch(train) [50][1700/1879] lr: 2.0000e-04 eta: 0:01:46 time: 0.5744 data_time: 0.0264 memory: 13723 grad_norm: 4.3165 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7514 loss: 0.7514 2022/08/09 09:31:29 - mmengine - INFO - Epoch(train) [50][1720/1879] lr: 2.0000e-04 eta: 0:01:34 time: 0.5659 data_time: 0.0266 memory: 13723 grad_norm: 4.5080 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8905 loss: 0.8905 2022/08/09 09:31:41 - mmengine - INFO - Epoch(train) [50][1740/1879] lr: 2.0000e-04 eta: 0:01:22 time: 0.5805 data_time: 0.0244 memory: 13723 grad_norm: 4.3856 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9452 loss: 0.9452 2022/08/09 09:31:52 - mmengine - INFO - Epoch(train) [50][1760/1879] lr: 2.0000e-04 eta: 0:01:11 time: 0.5715 data_time: 0.0254 memory: 13723 grad_norm: 4.4545 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8287 loss: 0.8287 2022/08/09 09:32:03 - mmengine - INFO - Epoch(train) [50][1780/1879] lr: 2.0000e-04 eta: 0:00:59 time: 0.5686 data_time: 0.0254 memory: 13723 grad_norm: 4.3343 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8812 loss: 0.8812 2022/08/09 09:32:15 - mmengine - INFO - Epoch(train) [50][1800/1879] lr: 2.0000e-04 eta: 0:00:47 time: 0.5677 data_time: 0.0252 memory: 13723 grad_norm: 4.3883 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7555 loss: 0.7555 2022/08/09 09:32:26 - mmengine - INFO - Epoch(train) [50][1820/1879] lr: 2.0000e-04 eta: 0:00:35 time: 0.5751 data_time: 0.0283 memory: 13723 grad_norm: 4.4886 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9471 loss: 0.9471 2022/08/09 09:32:38 - mmengine - INFO - Epoch(train) [50][1840/1879] lr: 2.0000e-04 eta: 0:00:23 time: 0.5742 data_time: 0.0277 memory: 13723 grad_norm: 4.5114 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7809 loss: 0.7809 2022/08/09 09:32:49 - mmengine - INFO - Epoch(train) [50][1860/1879] lr: 2.0000e-04 eta: 0:00:11 time: 0.5681 data_time: 0.0258 memory: 13723 grad_norm: 4.5473 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8594 loss: 0.8594 2022/08/09 09:32:59 - mmengine - INFO - Exp name: tsm_r50_1x1x8_50e_kinetics400_rgb_20220808_162136 2022/08/09 09:32:59 - mmengine - INFO - Epoch(train) [50][1879/1879] lr: 2.0000e-04 eta: 0:00:11 time: 0.5335 data_time: 0.0199 memory: 13723 grad_norm: 4.4954 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 0.8667 loss: 0.8667 2022/08/09 09:32:59 - mmengine - INFO - Saving checkpoint at 50 epochs 2022/08/09 09:33:15 - mmengine - INFO - Epoch(val) [50][20/155] eta: 0:01:30 time: 0.6740 data_time: 0.5334 memory: 1829 2022/08/09 09:33:24 - mmengine - INFO - Epoch(val) [50][40/155] eta: 0:00:54 time: 0.4699 data_time: 0.3309 memory: 1829 2022/08/09 09:33:36 - mmengine - INFO - Epoch(val) [50][60/155] eta: 0:00:57 time: 0.6102 data_time: 0.4710 memory: 1829 2022/08/09 09:33:45 - mmengine - INFO - Epoch(val) [50][80/155] eta: 0:00:33 time: 0.4517 data_time: 0.3078 memory: 1829 2022/08/09 09:33:58 - mmengine - INFO - Epoch(val) [50][100/155] eta: 0:00:33 time: 0.6078 data_time: 0.4681 memory: 1829 2022/08/09 09:34:08 - mmengine - INFO - Epoch(val) [50][120/155] eta: 0:00:17 time: 0.5049 data_time: 0.3639 memory: 1829 2022/08/09 09:34:21 - mmengine - INFO - Epoch(val) [50][140/155] eta: 0:00:09 time: 0.6544 data_time: 0.5153 memory: 1829 2022/08/09 09:34:28 - mmengine - INFO - Epoch(val) [50][155/155] acc/top1: 0.7148 acc/top5: 0.9002 acc/mean1: 0.7147 2022/08/09 09:34:28 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_49.pth is removed 2022/08/09 09:34:30 - mmengine - INFO - The best checkpoint with 0.7148 acc/top1 at 51 epoch is saved to best_acc/top1_epoch_51.pth.