2022/08/01 13:21:21 - mmengine - INFO - load model from: https://download.pytorch.org/models/resnet50-11ad3fa6.pth 2022/08/01 13:21:23 - mmengine - INFO - These parameters in the 2d checkpoint are not loaded: {'fc.weight', 'fc.bias'} 2022/08/01 13:21:23 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai/action/work_dirs/slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb by HardDiskBackend. 2022/08/01 13:23:32 - mmengine - INFO - Epoch(train) [1][20/1879] lr: 2.0000e-03 eta: 21 days, 1:15:45 time: 6.4541 data_time: 4.7558 memory: 48767 grad_norm: 1.4240 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9964 loss: 5.9964 2022/08/01 13:23:51 - mmengine - INFO - Epoch(train) [1][40/1879] lr: 2.0000e-03 eta: 12 days, 1:34:45 time: 0.9444 data_time: 0.0392 memory: 11089 grad_norm: 1.3933 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9829 loss: 5.9829 2022/08/01 13:24:10 - mmengine - INFO - Epoch(train) [1][60/1879] lr: 2.0000e-03 eta: 9 days, 1:43:40 time: 0.9462 data_time: 0.0408 memory: 11089 grad_norm: 1.3698 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9724 loss: 5.9724 2022/08/01 13:24:29 - mmengine - INFO - Epoch(train) [1][80/1879] lr: 2.0000e-03 eta: 7 days, 13:43:45 time: 0.9426 data_time: 0.0393 memory: 11089 grad_norm: 1.4184 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.9632 loss: 5.9632 2022/08/01 13:24:47 - mmengine - INFO - Epoch(train) [1][100/1879] lr: 2.0000e-03 eta: 6 days, 16:00:22 time: 0.9349 data_time: 0.0391 memory: 11089 grad_norm: 1.5544 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9594 loss: 5.9594 2022/08/01 13:25:06 - mmengine - INFO - Epoch(train) [1][120/1879] lr: 2.0000e-03 eta: 6 days, 1:32:05 time: 0.9358 data_time: 0.0337 memory: 11089 grad_norm: 1.6436 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9057 loss: 5.9057 2022/08/01 13:25:25 - mmengine - INFO - Epoch(train) [1][140/1879] lr: 2.0000e-03 eta: 5 days, 15:16:33 time: 0.9429 data_time: 0.0397 memory: 11089 grad_norm: 1.7473 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9088 loss: 5.9088 2022/08/01 13:25:44 - mmengine - INFO - Epoch(train) [1][160/1879] lr: 2.0000e-03 eta: 5 days, 7:40:09 time: 0.9520 data_time: 0.0355 memory: 11089 grad_norm: 1.8014 top1_acc: 0.0625 top5_acc: 0.0625 loss_cls: 5.8888 loss: 5.8888 2022/08/01 13:26:03 - mmengine - INFO - Epoch(train) [1][180/1879] lr: 2.0000e-03 eta: 5 days, 1:39:13 time: 0.9407 data_time: 0.0365 memory: 11089 grad_norm: 1.8773 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.8800 loss: 5.8800 2022/08/01 13:26:22 - mmengine - INFO - Epoch(train) [1][200/1879] lr: 2.0000e-03 eta: 4 days, 20:52:53 time: 0.9459 data_time: 0.0388 memory: 11089 grad_norm: 1.9387 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.8239 loss: 5.8239 2022/08/01 13:26:41 - mmengine - INFO - Epoch(train) [1][220/1879] lr: 2.0000e-03 eta: 4 days, 16:57:46 time: 0.9441 data_time: 0.0376 memory: 11089 grad_norm: 2.0416 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.8228 loss: 5.8228 2022/08/01 13:26:59 - mmengine - INFO - Epoch(train) [1][240/1879] lr: 2.0000e-03 eta: 4 days, 13:36:50 time: 0.9315 data_time: 0.0338 memory: 11089 grad_norm: 2.1230 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.7680 loss: 5.7680 2022/08/01 13:27:18 - mmengine - INFO - Epoch(train) [1][260/1879] lr: 2.0000e-03 eta: 4 days, 10:46:52 time: 0.9318 data_time: 0.0323 memory: 11089 grad_norm: 2.1905 top1_acc: 0.1250 top5_acc: 0.1875 loss_cls: 5.7387 loss: 5.7387 2022/08/01 13:27:36 - mmengine - INFO - Epoch(train) [1][280/1879] lr: 2.0000e-03 eta: 4 days, 8:20:59 time: 0.9313 data_time: 0.0329 memory: 11089 grad_norm: 2.3114 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.6776 loss: 5.6776 2022/08/01 13:27:55 - mmengine - INFO - Epoch(train) [1][300/1879] lr: 2.0000e-03 eta: 4 days, 6:21:16 time: 0.9529 data_time: 0.0376 memory: 11089 grad_norm: 2.4014 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.6523 loss: 5.6523 2022/08/01 13:28:14 - mmengine - INFO - Epoch(train) [1][320/1879] lr: 2.0000e-03 eta: 4 days, 4:34:13 time: 0.9452 data_time: 0.0343 memory: 11089 grad_norm: 2.5061 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.5839 loss: 5.5839 2022/08/01 13:28:33 - mmengine - INFO - Epoch(train) [1][340/1879] lr: 2.0000e-03 eta: 4 days, 2:58:29 time: 0.9407 data_time: 0.0363 memory: 11089 grad_norm: 2.6300 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.5569 loss: 5.5569 2022/08/01 13:28:52 - mmengine - INFO - Epoch(train) [1][360/1879] lr: 2.0000e-03 eta: 4 days, 1:31:09 time: 0.9322 data_time: 0.0336 memory: 11089 grad_norm: 2.6999 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.5061 loss: 5.5061 2022/08/01 13:29:10 - mmengine - INFO - Epoch(train) [1][380/1879] lr: 2.0000e-03 eta: 4 days, 0:12:49 time: 0.9317 data_time: 0.0329 memory: 11089 grad_norm: 2.8305 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 5.4144 loss: 5.4144 2022/08/01 13:29:29 - mmengine - INFO - Epoch(train) [1][400/1879] lr: 2.0000e-03 eta: 3 days, 23:06:24 time: 0.9491 data_time: 0.0338 memory: 11089 grad_norm: 2.9219 top1_acc: 0.0625 top5_acc: 0.0625 loss_cls: 5.2992 loss: 5.2992 2022/08/01 13:29:48 - mmengine - INFO - Epoch(train) [1][420/1879] lr: 2.0000e-03 eta: 3 days, 22:02:11 time: 0.9308 data_time: 0.0299 memory: 11089 grad_norm: 3.0390 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2854 loss: 5.2854 2022/08/01 13:30:07 - mmengine - INFO - Epoch(train) [1][440/1879] lr: 2.0000e-03 eta: 3 days, 21:02:21 time: 0.9241 data_time: 0.0320 memory: 11089 grad_norm: 3.1287 top1_acc: 0.2500 top5_acc: 0.3125 loss_cls: 5.1680 loss: 5.1680 2022/08/01 13:30:25 - mmengine - INFO - Epoch(train) [1][460/1879] lr: 2.0000e-03 eta: 3 days, 20:10:54 time: 0.9398 data_time: 0.0312 memory: 11089 grad_norm: 3.2263 top1_acc: 0.0000 top5_acc: 0.3125 loss_cls: 5.1909 loss: 5.1909 2022/08/01 13:30:44 - mmengine - INFO - Epoch(train) [1][480/1879] lr: 2.0000e-03 eta: 3 days, 19:24:41 time: 0.9448 data_time: 0.0331 memory: 11089 grad_norm: 3.3296 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 4.9736 loss: 4.9736 2022/08/01 13:31:03 - mmengine - INFO - Epoch(train) [1][500/1879] lr: 2.0000e-03 eta: 3 days, 18:42:48 time: 0.9484 data_time: 0.0403 memory: 11089 grad_norm: 3.4004 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 5.0037 loss: 5.0037 2022/08/01 13:31:22 - mmengine - INFO - Epoch(train) [1][520/1879] lr: 2.0000e-03 eta: 3 days, 18:02:55 time: 0.9416 data_time: 0.0329 memory: 11089 grad_norm: 3.4573 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.9839 loss: 4.9839 2022/08/01 13:31:41 - mmengine - INFO - Epoch(train) [1][540/1879] lr: 2.0000e-03 eta: 3 days, 17:24:21 time: 0.9325 data_time: 0.0352 memory: 11089 grad_norm: 3.5417 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 4.9302 loss: 4.9302 2022/08/01 13:31:59 - mmengine - INFO - Epoch(train) [1][560/1879] lr: 2.0000e-03 eta: 3 days, 16:48:25 time: 0.9318 data_time: 0.0378 memory: 11089 grad_norm: 3.5921 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.7649 loss: 4.7649 2022/08/01 13:32:18 - mmengine - INFO - Epoch(train) [1][580/1879] lr: 2.0000e-03 eta: 3 days, 16:17:25 time: 0.9471 data_time: 0.0334 memory: 11089 grad_norm: 3.7009 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.8689 loss: 4.8689 2022/08/01 13:32:37 - mmengine - INFO - Epoch(train) [1][600/1879] lr: 2.0000e-03 eta: 3 days, 15:46:49 time: 0.9367 data_time: 0.0391 memory: 11089 grad_norm: 3.7173 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.8345 loss: 4.8345 2022/08/01 13:32:56 - mmengine - INFO - Epoch(train) [1][620/1879] lr: 2.0000e-03 eta: 3 days, 15:17:47 time: 0.9339 data_time: 0.0310 memory: 11089 grad_norm: 3.7457 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 4.7296 loss: 4.7296 2022/08/01 13:33:14 - mmengine - INFO - Epoch(train) [1][640/1879] lr: 2.0000e-03 eta: 3 days, 14:49:06 time: 0.9243 data_time: 0.0331 memory: 11089 grad_norm: 3.7846 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.6375 loss: 4.6375 2022/08/01 13:33:33 - mmengine - INFO - Epoch(train) [1][660/1879] lr: 2.0000e-03 eta: 3 days, 14:25:03 time: 0.9446 data_time: 0.0326 memory: 11089 grad_norm: 3.8799 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.6235 loss: 4.6235 2022/08/01 13:33:52 - mmengine - INFO - Epoch(train) [1][680/1879] lr: 2.0000e-03 eta: 3 days, 14:03:38 time: 0.9538 data_time: 0.0317 memory: 11089 grad_norm: 3.9247 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6284 loss: 4.6284 2022/08/01 13:34:11 - mmengine - INFO - Epoch(train) [1][700/1879] lr: 2.0000e-03 eta: 3 days, 13:43:14 time: 0.9522 data_time: 0.0378 memory: 11089 grad_norm: 3.9783 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 4.4784 loss: 4.4784 2022/08/01 13:34:30 - mmengine - INFO - Epoch(train) [1][720/1879] lr: 2.0000e-03 eta: 3 days, 13:21:29 time: 0.9333 data_time: 0.0332 memory: 11089 grad_norm: 3.9829 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 4.3663 loss: 4.3663 2022/08/01 13:34:49 - mmengine - INFO - Epoch(train) [1][740/1879] lr: 2.0000e-03 eta: 3 days, 13:02:04 time: 0.9426 data_time: 0.0322 memory: 11089 grad_norm: 4.0938 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.4112 loss: 4.4112 2022/08/01 13:35:07 - mmengine - INFO - Epoch(train) [1][760/1879] lr: 2.0000e-03 eta: 3 days, 12:43:14 time: 0.9392 data_time: 0.0280 memory: 11089 grad_norm: 4.0990 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.3904 loss: 4.3904 2022/08/01 13:35:26 - mmengine - INFO - Epoch(train) [1][780/1879] lr: 2.0000e-03 eta: 3 days, 12:24:02 time: 0.9282 data_time: 0.0322 memory: 11089 grad_norm: 4.1373 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 4.3691 loss: 4.3691 2022/08/01 13:35:45 - mmengine - INFO - Epoch(train) [1][800/1879] lr: 2.0000e-03 eta: 3 days, 12:08:26 time: 0.9508 data_time: 0.0252 memory: 11089 grad_norm: 4.2024 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 4.1693 loss: 4.1693 2022/08/01 13:36:04 - mmengine - INFO - Epoch(train) [1][820/1879] lr: 2.0000e-03 eta: 3 days, 11:51:36 time: 0.9335 data_time: 0.0270 memory: 11089 grad_norm: 4.2404 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 4.2577 loss: 4.2577 2022/08/01 13:36:22 - mmengine - INFO - Epoch(train) [1][840/1879] lr: 2.0000e-03 eta: 3 days, 11:34:14 time: 0.9218 data_time: 0.0315 memory: 11089 grad_norm: 4.2595 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.1806 loss: 4.1806 2022/08/01 13:36:41 - mmengine - INFO - Epoch(train) [1][860/1879] lr: 2.0000e-03 eta: 3 days, 11:20:01 time: 0.9434 data_time: 0.0357 memory: 11089 grad_norm: 4.3238 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 4.2623 loss: 4.2623 2022/08/01 13:37:00 - mmengine - INFO - Epoch(train) [1][880/1879] lr: 2.0000e-03 eta: 3 days, 11:05:31 time: 0.9348 data_time: 0.0350 memory: 11089 grad_norm: 4.3141 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 4.3146 loss: 4.3146 2022/08/01 13:37:18 - mmengine - INFO - Epoch(train) [1][900/1879] lr: 2.0000e-03 eta: 3 days, 10:51:19 time: 0.9315 data_time: 0.0357 memory: 11089 grad_norm: 4.3515 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 4.0254 loss: 4.0254 2022/08/01 13:37:37 - mmengine - INFO - Epoch(train) [1][920/1879] lr: 2.0000e-03 eta: 3 days, 10:37:39 time: 0.9308 data_time: 0.0322 memory: 11089 grad_norm: 4.4116 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 4.1887 loss: 4.1887 2022/08/01 13:37:56 - mmengine - INFO - Epoch(train) [1][940/1879] lr: 2.0000e-03 eta: 3 days, 10:24:04 time: 0.9260 data_time: 0.0353 memory: 11089 grad_norm: 4.4201 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 4.1172 loss: 4.1172 2022/08/01 13:38:14 - mmengine - INFO - Epoch(train) [1][960/1879] lr: 2.0000e-03 eta: 3 days, 10:11:19 time: 0.9290 data_time: 0.0321 memory: 11089 grad_norm: 4.4135 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.1480 loss: 4.1480 2022/08/01 13:38:33 - mmengine - INFO - Epoch(train) [1][980/1879] lr: 2.0000e-03 eta: 3 days, 9:58:15 time: 0.9203 data_time: 0.0306 memory: 11089 grad_norm: 4.4182 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.9866 loss: 3.9866 2022/08/01 13:38:51 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 13:38:51 - mmengine - INFO - Epoch(train) [1][1000/1879] lr: 2.0000e-03 eta: 3 days, 9:47:34 time: 0.9402 data_time: 0.0354 memory: 11089 grad_norm: 4.4866 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 3.9852 loss: 3.9852 2022/08/01 13:39:10 - mmengine - INFO - Epoch(train) [1][1020/1879] lr: 2.0000e-03 eta: 3 days, 9:37:00 time: 0.9372 data_time: 0.0353 memory: 11089 grad_norm: 4.4862 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.8832 loss: 3.8832 2022/08/01 13:39:29 - mmengine - INFO - Epoch(train) [1][1040/1879] lr: 2.0000e-03 eta: 3 days, 9:27:42 time: 0.9468 data_time: 0.0358 memory: 11089 grad_norm: 4.5243 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 4.0086 loss: 4.0086 2022/08/01 13:39:48 - mmengine - INFO - Epoch(train) [1][1060/1879] lr: 2.0000e-03 eta: 3 days, 9:17:30 time: 0.9328 data_time: 0.0370 memory: 11089 grad_norm: 4.5550 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 3.9479 loss: 3.9479 2022/08/01 13:40:06 - mmengine - INFO - Epoch(train) [1][1080/1879] lr: 2.0000e-03 eta: 3 days, 9:07:36 time: 0.9320 data_time: 0.0317 memory: 11089 grad_norm: 4.5903 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 4.2475 loss: 4.2475 2022/08/01 13:40:25 - mmengine - INFO - Epoch(train) [1][1100/1879] lr: 2.0000e-03 eta: 3 days, 9:00:14 time: 0.9576 data_time: 0.0362 memory: 11089 grad_norm: 4.5959 top1_acc: 0.2500 top5_acc: 0.3125 loss_cls: 3.8784 loss: 3.8784 2022/08/01 13:40:44 - mmengine - INFO - Epoch(train) [1][1120/1879] lr: 2.0000e-03 eta: 3 days, 8:52:19 time: 0.9482 data_time: 0.0365 memory: 11089 grad_norm: 4.6465 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 3.9397 loss: 3.9397 2022/08/01 13:41:03 - mmengine - INFO - Epoch(train) [1][1140/1879] lr: 2.0000e-03 eta: 3 days, 8:43:05 time: 0.9287 data_time: 0.0318 memory: 11089 grad_norm: 4.6058 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9126 loss: 3.9126 2022/08/01 13:41:22 - mmengine - INFO - Epoch(train) [1][1160/1879] lr: 2.0000e-03 eta: 3 days, 8:34:48 time: 0.9369 data_time: 0.0327 memory: 11089 grad_norm: 4.6278 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 3.7856 loss: 3.7856 2022/08/01 13:41:41 - mmengine - INFO - Epoch(train) [1][1180/1879] lr: 2.0000e-03 eta: 3 days, 8:27:35 time: 0.9467 data_time: 0.0296 memory: 11089 grad_norm: 4.6862 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.9024 loss: 3.9024 2022/08/01 13:41:59 - mmengine - INFO - Epoch(train) [1][1200/1879] lr: 2.0000e-03 eta: 3 days, 8:19:35 time: 0.9337 data_time: 0.0324 memory: 11089 grad_norm: 4.6401 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 3.7249 loss: 3.7249 2022/08/01 13:42:19 - mmengine - INFO - Epoch(train) [1][1220/1879] lr: 2.0000e-03 eta: 3 days, 8:13:50 time: 0.9600 data_time: 0.0398 memory: 11089 grad_norm: 4.6446 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.7850 loss: 3.7850 2022/08/01 13:42:37 - mmengine - INFO - Epoch(train) [1][1240/1879] lr: 2.0000e-03 eta: 3 days, 8:07:01 time: 0.9433 data_time: 0.0381 memory: 11089 grad_norm: 4.6966 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 3.7735 loss: 3.7735 2022/08/01 13:42:56 - mmengine - INFO - Epoch(train) [1][1260/1879] lr: 2.0000e-03 eta: 3 days, 8:00:22 time: 0.9430 data_time: 0.0365 memory: 11089 grad_norm: 4.7033 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7868 loss: 3.7868 2022/08/01 13:43:15 - mmengine - INFO - Epoch(train) [1][1280/1879] lr: 2.0000e-03 eta: 3 days, 7:52:35 time: 0.9246 data_time: 0.0302 memory: 11089 grad_norm: 4.7090 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.7051 loss: 3.7051 2022/08/01 13:43:33 - mmengine - INFO - Epoch(train) [1][1300/1879] lr: 2.0000e-03 eta: 3 days, 7:45:14 time: 0.9275 data_time: 0.0339 memory: 11089 grad_norm: 4.6835 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.8984 loss: 3.8984 2022/08/01 13:43:52 - mmengine - INFO - Epoch(train) [1][1320/1879] lr: 2.0000e-03 eta: 3 days, 7:37:39 time: 0.9213 data_time: 0.0327 memory: 11089 grad_norm: 4.7956 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.7001 loss: 3.7001 2022/08/01 13:44:11 - mmengine - INFO - Epoch(train) [1][1340/1879] lr: 2.0000e-03 eta: 3 days, 7:31:54 time: 0.9442 data_time: 0.0346 memory: 11089 grad_norm: 4.7757 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.6627 loss: 3.6627 2022/08/01 13:44:29 - mmengine - INFO - Epoch(train) [1][1360/1879] lr: 2.0000e-03 eta: 3 days, 7:25:22 time: 0.9307 data_time: 0.0350 memory: 11089 grad_norm: 4.8735 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.7511 loss: 3.7511 2022/08/01 13:44:48 - mmengine - INFO - Epoch(train) [1][1380/1879] lr: 2.0000e-03 eta: 3 days, 7:19:04 time: 0.9312 data_time: 0.0318 memory: 11089 grad_norm: 4.8006 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.6800 loss: 3.6800 2022/08/01 13:45:07 - mmengine - INFO - Epoch(train) [1][1400/1879] lr: 2.0000e-03 eta: 3 days, 7:14:22 time: 0.9528 data_time: 0.0400 memory: 11089 grad_norm: 4.8429 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5944 loss: 3.5944 2022/08/01 13:45:26 - mmengine - INFO - Epoch(train) [1][1420/1879] lr: 2.0000e-03 eta: 3 days, 7:08:23 time: 0.9315 data_time: 0.0373 memory: 11089 grad_norm: 4.8315 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.6462 loss: 3.6462 2022/08/01 13:45:44 - mmengine - INFO - Epoch(train) [1][1440/1879] lr: 2.0000e-03 eta: 3 days, 7:02:15 time: 0.9267 data_time: 0.0349 memory: 11089 grad_norm: 4.8635 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.7350 loss: 3.7350 2022/08/01 13:46:03 - mmengine - INFO - Epoch(train) [1][1460/1879] lr: 2.0000e-03 eta: 3 days, 6:56:49 time: 0.9350 data_time: 0.0343 memory: 11089 grad_norm: 4.8110 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.7046 loss: 3.7046 2022/08/01 13:46:22 - mmengine - INFO - Epoch(train) [1][1480/1879] lr: 2.0000e-03 eta: 3 days, 6:53:36 time: 0.9681 data_time: 0.0389 memory: 11089 grad_norm: 4.8899 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5118 loss: 3.5118 2022/08/01 13:46:41 - mmengine - INFO - Epoch(train) [1][1500/1879] lr: 2.0000e-03 eta: 3 days, 6:48:32 time: 0.9371 data_time: 0.0312 memory: 11089 grad_norm: 4.8964 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.6191 loss: 3.6191 2022/08/01 13:47:00 - mmengine - INFO - Epoch(train) [1][1520/1879] lr: 2.0000e-03 eta: 3 days, 6:43:57 time: 0.9430 data_time: 0.0392 memory: 11089 grad_norm: 4.8946 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 3.4730 loss: 3.4730 2022/08/01 13:47:18 - mmengine - INFO - Epoch(train) [1][1540/1879] lr: 2.0000e-03 eta: 3 days, 6:39:02 time: 0.9357 data_time: 0.0312 memory: 11089 grad_norm: 4.8668 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.3985 loss: 3.3985 2022/08/01 13:47:37 - mmengine - INFO - Epoch(train) [1][1560/1879] lr: 2.0000e-03 eta: 3 days, 6:33:47 time: 0.9281 data_time: 0.0358 memory: 11089 grad_norm: 4.9291 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 3.6025 loss: 3.6025 2022/08/01 13:47:56 - mmengine - INFO - Epoch(train) [1][1580/1879] lr: 2.0000e-03 eta: 3 days, 6:29:12 time: 0.9372 data_time: 0.0323 memory: 11089 grad_norm: 4.9282 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 3.5331 loss: 3.5331 2022/08/01 13:48:15 - mmengine - INFO - Epoch(train) [1][1600/1879] lr: 2.0000e-03 eta: 3 days, 6:25:23 time: 0.9485 data_time: 0.0331 memory: 11089 grad_norm: 4.9516 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5761 loss: 3.5761 2022/08/01 13:48:33 - mmengine - INFO - Epoch(train) [1][1620/1879] lr: 2.0000e-03 eta: 3 days, 6:21:05 time: 0.9385 data_time: 0.0363 memory: 11089 grad_norm: 4.9507 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.5759 loss: 3.5759 2022/08/01 13:48:52 - mmengine - INFO - Epoch(train) [1][1640/1879] lr: 2.0000e-03 eta: 3 days, 6:16:40 time: 0.9350 data_time: 0.0343 memory: 11089 grad_norm: 4.9951 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 3.5847 loss: 3.5847 2022/08/01 13:49:11 - mmengine - INFO - Epoch(train) [1][1660/1879] lr: 2.0000e-03 eta: 3 days, 6:12:14 time: 0.9328 data_time: 0.0305 memory: 11089 grad_norm: 4.9344 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.5543 loss: 3.5543 2022/08/01 13:49:30 - mmengine - INFO - Epoch(train) [1][1680/1879] lr: 2.0000e-03 eta: 3 days, 6:08:39 time: 0.9465 data_time: 0.0346 memory: 11089 grad_norm: 4.9434 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6389 loss: 3.6389 2022/08/01 13:49:48 - mmengine - INFO - Epoch(train) [1][1700/1879] lr: 2.0000e-03 eta: 3 days, 6:04:32 time: 0.9353 data_time: 0.0318 memory: 11089 grad_norm: 4.9954 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.6854 loss: 3.6854 2022/08/01 13:50:08 - mmengine - INFO - Epoch(train) [1][1720/1879] lr: 2.0000e-03 eta: 3 days, 6:01:37 time: 0.9557 data_time: 0.0367 memory: 11089 grad_norm: 4.9063 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 3.6169 loss: 3.6169 2022/08/01 13:50:26 - mmengine - INFO - Epoch(train) [1][1740/1879] lr: 2.0000e-03 eta: 3 days, 5:57:48 time: 0.9376 data_time: 0.0329 memory: 11089 grad_norm: 4.9859 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.4426 loss: 3.4426 2022/08/01 13:50:45 - mmengine - INFO - Epoch(train) [1][1760/1879] lr: 2.0000e-03 eta: 3 days, 5:53:31 time: 0.9277 data_time: 0.0351 memory: 11089 grad_norm: 5.0132 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.5254 loss: 3.5254 2022/08/01 13:51:03 - mmengine - INFO - Epoch(train) [1][1780/1879] lr: 2.0000e-03 eta: 3 days, 5:49:11 time: 0.9248 data_time: 0.0262 memory: 11089 grad_norm: 5.0155 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 3.5597 loss: 3.5597 2022/08/01 13:51:22 - mmengine - INFO - Epoch(train) [1][1800/1879] lr: 2.0000e-03 eta: 3 days, 5:45:56 time: 0.9443 data_time: 0.0350 memory: 11089 grad_norm: 5.0189 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 3.4670 loss: 3.4670 2022/08/01 13:51:41 - mmengine - INFO - Epoch(train) [1][1820/1879] lr: 2.0000e-03 eta: 3 days, 5:41:23 time: 0.9174 data_time: 0.0302 memory: 11089 grad_norm: 5.0552 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 3.4264 loss: 3.4264 2022/08/01 13:51:59 - mmengine - INFO - Epoch(train) [1][1840/1879] lr: 2.0000e-03 eta: 3 days, 5:37:48 time: 0.9346 data_time: 0.0288 memory: 11089 grad_norm: 5.1266 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4091 loss: 3.4091 2022/08/01 13:52:18 - mmengine - INFO - Epoch(train) [1][1860/1879] lr: 2.0000e-03 eta: 3 days, 5:35:10 time: 0.9522 data_time: 0.0314 memory: 11089 grad_norm: 5.0910 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.6766 loss: 3.6766 2022/08/01 13:52:49 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 13:52:49 - mmengine - INFO - Epoch(train) [1][1879/1879] lr: 2.0000e-03 eta: 3 days, 5:35:10 time: 1.5850 data_time: 0.0263 memory: 42468 grad_norm: 5.1630 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 3.4627 loss: 3.4627 2022/08/01 13:53:10 - mmengine - INFO - Epoch(train) [2][20/1879] lr: 4.0000e-03 eta: 3 days, 4:51:04 time: 1.0609 data_time: 0.1640 memory: 11089 grad_norm: 5.0548 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 3.4685 loss: 3.4685 2022/08/01 13:53:30 - mmengine - INFO - Epoch(train) [2][40/1879] lr: 4.0000e-03 eta: 3 days, 4:49:17 time: 0.9585 data_time: 0.0383 memory: 11089 grad_norm: 5.0591 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.3863 loss: 3.3863 2022/08/01 13:53:48 - mmengine - INFO - Epoch(train) [2][60/1879] lr: 4.0000e-03 eta: 3 days, 4:46:25 time: 0.9353 data_time: 0.0324 memory: 11089 grad_norm: 5.0158 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 3.3567 loss: 3.3567 2022/08/01 13:54:07 - mmengine - INFO - Epoch(train) [2][80/1879] lr: 4.0000e-03 eta: 3 days, 4:42:58 time: 0.9216 data_time: 0.0323 memory: 11089 grad_norm: 5.0204 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.1647 loss: 3.1647 2022/08/01 13:54:25 - mmengine - INFO - Epoch(train) [2][100/1879] lr: 4.0000e-03 eta: 3 days, 4:40:09 time: 0.9340 data_time: 0.0378 memory: 11089 grad_norm: 5.1204 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.2673 loss: 3.2673 2022/08/01 13:54:44 - mmengine - INFO - Epoch(train) [2][120/1879] lr: 4.0000e-03 eta: 3 days, 4:36:54 time: 0.9235 data_time: 0.0346 memory: 11089 grad_norm: 5.1896 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4580 loss: 3.4580 2022/08/01 13:54:45 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 13:55:03 - mmengine - INFO - Epoch(train) [2][140/1879] lr: 4.0000e-03 eta: 3 days, 4:34:14 time: 0.9352 data_time: 0.0271 memory: 11089 grad_norm: 5.0710 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.2145 loss: 3.2145 2022/08/01 13:55:21 - mmengine - INFO - Epoch(train) [2][160/1879] lr: 4.0000e-03 eta: 3 days, 4:31:42 time: 0.9366 data_time: 0.0337 memory: 11089 grad_norm: 5.1061 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2453 loss: 3.2453 2022/08/01 13:55:40 - mmengine - INFO - Epoch(train) [2][180/1879] lr: 4.0000e-03 eta: 3 days, 4:29:11 time: 0.9365 data_time: 0.0312 memory: 11089 grad_norm: 5.0818 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2677 loss: 3.2677 2022/08/01 13:55:59 - mmengine - INFO - Epoch(train) [2][200/1879] lr: 4.0000e-03 eta: 3 days, 4:26:32 time: 0.9325 data_time: 0.0298 memory: 11089 grad_norm: 5.1377 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 3.4977 loss: 3.4977 2022/08/01 13:56:18 - mmengine - INFO - Epoch(train) [2][220/1879] lr: 4.0000e-03 eta: 3 days, 4:24:23 time: 0.9425 data_time: 0.0304 memory: 11089 grad_norm: 5.0971 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.2155 loss: 3.2155 2022/08/01 13:56:36 - mmengine - INFO - Epoch(train) [2][240/1879] lr: 4.0000e-03 eta: 3 days, 4:21:39 time: 0.9286 data_time: 0.0300 memory: 11089 grad_norm: 5.1043 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 3.3071 loss: 3.3071 2022/08/01 13:56:55 - mmengine - INFO - Epoch(train) [2][260/1879] lr: 4.0000e-03 eta: 3 days, 4:18:52 time: 0.9263 data_time: 0.0351 memory: 11089 grad_norm: 5.1149 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.2012 loss: 3.2012 2022/08/01 13:57:13 - mmengine - INFO - Epoch(train) [2][280/1879] lr: 4.0000e-03 eta: 3 days, 4:16:17 time: 0.9300 data_time: 0.0298 memory: 11089 grad_norm: 5.1935 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 3.2436 loss: 3.2436 2022/08/01 13:57:32 - mmengine - INFO - Epoch(train) [2][300/1879] lr: 4.0000e-03 eta: 3 days, 4:14:03 time: 0.9370 data_time: 0.0362 memory: 11089 grad_norm: 5.1630 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3239 loss: 3.3239 2022/08/01 13:57:51 - mmengine - INFO - Epoch(train) [2][320/1879] lr: 4.0000e-03 eta: 3 days, 4:11:51 time: 0.9374 data_time: 0.0328 memory: 11089 grad_norm: 5.2398 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 3.3980 loss: 3.3980 2022/08/01 13:58:10 - mmengine - INFO - Epoch(train) [2][340/1879] lr: 4.0000e-03 eta: 3 days, 4:09:45 time: 0.9385 data_time: 0.0353 memory: 11089 grad_norm: 5.0986 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2384 loss: 3.2384 2022/08/01 13:58:28 - mmengine - INFO - Epoch(train) [2][360/1879] lr: 4.0000e-03 eta: 3 days, 4:07:26 time: 0.9328 data_time: 0.0339 memory: 11089 grad_norm: 5.1693 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.3253 loss: 3.3253 2022/08/01 13:58:47 - mmengine - INFO - Epoch(train) [2][380/1879] lr: 4.0000e-03 eta: 3 days, 4:05:03 time: 0.9302 data_time: 0.0302 memory: 11089 grad_norm: 5.1107 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.1155 loss: 3.1155 2022/08/01 13:59:05 - mmengine - INFO - Epoch(train) [2][400/1879] lr: 4.0000e-03 eta: 3 days, 4:02:28 time: 0.9245 data_time: 0.0313 memory: 11089 grad_norm: 5.1945 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.1970 loss: 3.1970 2022/08/01 13:59:24 - mmengine - INFO - Epoch(train) [2][420/1879] lr: 4.0000e-03 eta: 3 days, 4:00:22 time: 0.9354 data_time: 0.0340 memory: 11089 grad_norm: 5.1860 top1_acc: 0.3125 top5_acc: 0.3125 loss_cls: 3.2490 loss: 3.2490 2022/08/01 13:59:43 - mmengine - INFO - Epoch(train) [2][440/1879] lr: 4.0000e-03 eta: 3 days, 3:58:23 time: 0.9375 data_time: 0.0331 memory: 11089 grad_norm: 5.2203 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.1080 loss: 3.1080 2022/08/01 14:00:02 - mmengine - INFO - Epoch(train) [2][460/1879] lr: 4.0000e-03 eta: 3 days, 3:57:11 time: 0.9566 data_time: 0.0354 memory: 11089 grad_norm: 5.2596 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.2553 loss: 3.2553 2022/08/01 14:00:20 - mmengine - INFO - Epoch(train) [2][480/1879] lr: 4.0000e-03 eta: 3 days, 3:54:51 time: 0.9275 data_time: 0.0308 memory: 11089 grad_norm: 5.2728 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.5267 loss: 3.5267 2022/08/01 14:00:39 - mmengine - INFO - Epoch(train) [2][500/1879] lr: 4.0000e-03 eta: 3 days, 3:52:17 time: 0.9205 data_time: 0.0336 memory: 11089 grad_norm: 5.2780 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.2215 loss: 3.2215 2022/08/01 14:00:58 - mmengine - INFO - Epoch(train) [2][520/1879] lr: 4.0000e-03 eta: 3 days, 3:50:11 time: 0.9316 data_time: 0.0363 memory: 11089 grad_norm: 5.2304 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1821 loss: 3.1821 2022/08/01 14:01:16 - mmengine - INFO - Epoch(train) [2][540/1879] lr: 4.0000e-03 eta: 3 days, 3:48:09 time: 0.9325 data_time: 0.0386 memory: 11089 grad_norm: 5.2650 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.2022 loss: 3.2022 2022/08/01 14:01:35 - mmengine - INFO - Epoch(train) [2][560/1879] lr: 4.0000e-03 eta: 3 days, 3:46:16 time: 0.9358 data_time: 0.0346 memory: 11089 grad_norm: 5.3069 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.9988 loss: 2.9988 2022/08/01 14:01:53 - mmengine - INFO - Epoch(train) [2][580/1879] lr: 4.0000e-03 eta: 3 days, 3:43:44 time: 0.9182 data_time: 0.0267 memory: 11089 grad_norm: 5.1922 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 3.1322 loss: 3.1322 2022/08/01 14:02:12 - mmengine - INFO - Epoch(train) [2][600/1879] lr: 4.0000e-03 eta: 3 days, 3:42:02 time: 0.9389 data_time: 0.0354 memory: 11089 grad_norm: 5.3150 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 3.1851 loss: 3.1851 2022/08/01 14:02:31 - mmengine - INFO - Epoch(train) [2][620/1879] lr: 4.0000e-03 eta: 3 days, 3:40:32 time: 0.9440 data_time: 0.0406 memory: 11089 grad_norm: 5.1804 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0686 loss: 3.0686 2022/08/01 14:02:50 - mmengine - INFO - Epoch(train) [2][640/1879] lr: 4.0000e-03 eta: 3 days, 3:38:52 time: 0.9388 data_time: 0.0288 memory: 11089 grad_norm: 5.2420 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 3.1120 loss: 3.1120 2022/08/01 14:03:08 - mmengine - INFO - Epoch(train) [2][660/1879] lr: 4.0000e-03 eta: 3 days, 3:37:04 time: 0.9350 data_time: 0.0336 memory: 11089 grad_norm: 5.1650 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0204 loss: 3.0204 2022/08/01 14:03:27 - mmengine - INFO - Epoch(train) [2][680/1879] lr: 4.0000e-03 eta: 3 days, 3:34:23 time: 0.9100 data_time: 0.0251 memory: 11089 grad_norm: 5.3353 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 3.0975 loss: 3.0975 2022/08/01 14:03:45 - mmengine - INFO - Epoch(train) [2][700/1879] lr: 4.0000e-03 eta: 3 days, 3:32:58 time: 0.9438 data_time: 0.0398 memory: 11089 grad_norm: 5.3147 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 3.2958 loss: 3.2958 2022/08/01 14:04:04 - mmengine - INFO - Epoch(train) [2][720/1879] lr: 4.0000e-03 eta: 3 days, 3:31:31 time: 0.9421 data_time: 0.0319 memory: 11089 grad_norm: 5.3272 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.9197 loss: 2.9197 2022/08/01 14:04:23 - mmengine - INFO - Epoch(train) [2][740/1879] lr: 4.0000e-03 eta: 3 days, 3:29:37 time: 0.9297 data_time: 0.0384 memory: 11089 grad_norm: 5.2456 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.9425 loss: 2.9425 2022/08/01 14:04:42 - mmengine - INFO - Epoch(train) [2][760/1879] lr: 4.0000e-03 eta: 3 days, 3:28:01 time: 0.9368 data_time: 0.0356 memory: 11089 grad_norm: 5.3364 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.8694 loss: 2.8694 2022/08/01 14:05:00 - mmengine - INFO - Epoch(train) [2][780/1879] lr: 4.0000e-03 eta: 3 days, 3:26:31 time: 0.9394 data_time: 0.0360 memory: 11089 grad_norm: 5.3410 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.0687 loss: 3.0687 2022/08/01 14:05:19 - mmengine - INFO - Epoch(train) [2][800/1879] lr: 4.0000e-03 eta: 3 days, 3:24:43 time: 0.9306 data_time: 0.0344 memory: 11089 grad_norm: 5.2552 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.8421 loss: 2.8421 2022/08/01 14:05:38 - mmengine - INFO - Epoch(train) [2][820/1879] lr: 4.0000e-03 eta: 3 days, 3:23:38 time: 0.9503 data_time: 0.0341 memory: 11089 grad_norm: 5.3056 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2346 loss: 3.2346 2022/08/01 14:05:57 - mmengine - INFO - Epoch(train) [2][840/1879] lr: 4.0000e-03 eta: 3 days, 3:21:41 time: 0.9250 data_time: 0.0335 memory: 11089 grad_norm: 5.3463 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.9363 loss: 2.9363 2022/08/01 14:06:15 - mmengine - INFO - Epoch(train) [2][860/1879] lr: 4.0000e-03 eta: 3 days, 3:20:08 time: 0.9357 data_time: 0.0295 memory: 11089 grad_norm: 5.3457 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2032 loss: 3.2032 2022/08/01 14:06:34 - mmengine - INFO - Epoch(train) [2][880/1879] lr: 4.0000e-03 eta: 3 days, 3:18:39 time: 0.9371 data_time: 0.0326 memory: 11089 grad_norm: 5.2272 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7547 loss: 2.7547 2022/08/01 14:06:53 - mmengine - INFO - Epoch(train) [2][900/1879] lr: 4.0000e-03 eta: 3 days, 3:16:50 time: 0.9269 data_time: 0.0319 memory: 11089 grad_norm: 5.3294 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.1071 loss: 3.1071 2022/08/01 14:07:11 - mmengine - INFO - Epoch(train) [2][920/1879] lr: 4.0000e-03 eta: 3 days, 3:15:16 time: 0.9338 data_time: 0.0312 memory: 11089 grad_norm: 5.3205 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.1510 loss: 3.1510 2022/08/01 14:07:30 - mmengine - INFO - Epoch(train) [2][940/1879] lr: 4.0000e-03 eta: 3 days, 3:14:43 time: 0.9640 data_time: 0.0370 memory: 11089 grad_norm: 5.2974 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.9677 loss: 2.9677 2022/08/01 14:07:50 - mmengine - INFO - Epoch(train) [2][960/1879] lr: 4.0000e-03 eta: 3 days, 3:13:50 time: 0.9537 data_time: 0.0353 memory: 11089 grad_norm: 5.3012 top1_acc: 0.2500 top5_acc: 0.3125 loss_cls: 3.0229 loss: 3.0229 2022/08/01 14:08:08 - mmengine - INFO - Epoch(train) [2][980/1879] lr: 4.0000e-03 eta: 3 days, 3:12:14 time: 0.9318 data_time: 0.0312 memory: 11089 grad_norm: 5.2811 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.1622 loss: 3.1622 2022/08/01 14:08:27 - mmengine - INFO - Epoch(train) [2][1000/1879] lr: 4.0000e-03 eta: 3 days, 3:10:11 time: 0.9165 data_time: 0.0345 memory: 11089 grad_norm: 5.3111 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.8614 loss: 2.8614 2022/08/01 14:08:45 - mmengine - INFO - Epoch(train) [2][1020/1879] lr: 4.0000e-03 eta: 3 days, 3:08:43 time: 0.9348 data_time: 0.0264 memory: 11089 grad_norm: 5.3391 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.2594 loss: 3.2594 2022/08/01 14:09:04 - mmengine - INFO - Epoch(train) [2][1040/1879] lr: 4.0000e-03 eta: 3 days, 3:06:58 time: 0.9249 data_time: 0.0340 memory: 11089 grad_norm: 5.3043 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2749 loss: 3.2749 2022/08/01 14:09:23 - mmengine - INFO - Epoch(train) [2][1060/1879] lr: 4.0000e-03 eta: 3 days, 3:05:49 time: 0.9430 data_time: 0.0259 memory: 11089 grad_norm: 5.4070 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8704 loss: 2.8704 2022/08/01 14:09:41 - mmengine - INFO - Epoch(train) [2][1080/1879] lr: 4.0000e-03 eta: 3 days, 3:04:25 time: 0.9352 data_time: 0.0309 memory: 11089 grad_norm: 5.2498 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.0835 loss: 3.0835 2022/08/01 14:10:00 - mmengine - INFO - Epoch(train) [2][1100/1879] lr: 4.0000e-03 eta: 3 days, 3:03:18 time: 0.9435 data_time: 0.0376 memory: 11089 grad_norm: 5.3075 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.0035 loss: 3.0035 2022/08/01 14:10:19 - mmengine - INFO - Epoch(train) [2][1120/1879] lr: 4.0000e-03 eta: 3 days, 3:02:14 time: 0.9453 data_time: 0.0404 memory: 11089 grad_norm: 5.3192 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.9598 loss: 2.9598 2022/08/01 14:10:20 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 14:10:38 - mmengine - INFO - Epoch(train) [2][1140/1879] lr: 4.0000e-03 eta: 3 days, 3:00:59 time: 0.9382 data_time: 0.0340 memory: 11089 grad_norm: 5.2618 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.1536 loss: 3.1536 2022/08/01 14:10:56 - mmengine - INFO - Epoch(train) [2][1160/1879] lr: 4.0000e-03 eta: 3 days, 2:59:29 time: 0.9303 data_time: 0.0270 memory: 11089 grad_norm: 5.3432 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.0216 loss: 3.0216 2022/08/01 14:11:15 - mmengine - INFO - Epoch(train) [2][1180/1879] lr: 4.0000e-03 eta: 3 days, 2:58:02 time: 0.9311 data_time: 0.0338 memory: 11089 grad_norm: 5.3923 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8667 loss: 2.8667 2022/08/01 14:11:34 - mmengine - INFO - Epoch(train) [2][1200/1879] lr: 4.0000e-03 eta: 3 days, 2:57:03 time: 0.9464 data_time: 0.0335 memory: 11089 grad_norm: 5.3113 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.8634 loss: 2.8634 2022/08/01 14:11:53 - mmengine - INFO - Epoch(train) [2][1220/1879] lr: 4.0000e-03 eta: 3 days, 2:56:16 time: 0.9521 data_time: 0.0369 memory: 11089 grad_norm: 5.3932 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.9543 loss: 2.9543 2022/08/01 14:12:12 - mmengine - INFO - Epoch(train) [2][1240/1879] lr: 4.0000e-03 eta: 3 days, 2:55:44 time: 0.9610 data_time: 0.0360 memory: 11089 grad_norm: 5.4558 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 2.8885 loss: 2.8885 2022/08/01 14:12:31 - mmengine - INFO - Epoch(train) [2][1260/1879] lr: 4.0000e-03 eta: 3 days, 2:54:55 time: 0.9511 data_time: 0.0400 memory: 11089 grad_norm: 5.3539 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.9473 loss: 2.9473 2022/08/01 14:12:51 - mmengine - INFO - Epoch(train) [2][1280/1879] lr: 4.0000e-03 eta: 3 days, 2:54:29 time: 0.9640 data_time: 0.0368 memory: 11089 grad_norm: 5.3349 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.8153 loss: 2.8153 2022/08/01 14:13:09 - mmengine - INFO - Epoch(train) [2][1300/1879] lr: 4.0000e-03 eta: 3 days, 2:53:25 time: 0.9421 data_time: 0.0343 memory: 11089 grad_norm: 5.3664 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.0379 loss: 3.0379 2022/08/01 14:13:28 - mmengine - INFO - Epoch(train) [2][1320/1879] lr: 4.0000e-03 eta: 3 days, 2:51:54 time: 0.9264 data_time: 0.0276 memory: 11089 grad_norm: 5.5273 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.0345 loss: 3.0345 2022/08/01 14:13:47 - mmengine - INFO - Epoch(train) [2][1340/1879] lr: 4.0000e-03 eta: 3 days, 2:50:31 time: 0.9303 data_time: 0.0316 memory: 11089 grad_norm: 5.3341 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8440 loss: 2.8440 2022/08/01 14:14:05 - mmengine - INFO - Epoch(train) [2][1360/1879] lr: 4.0000e-03 eta: 3 days, 2:49:34 time: 0.9454 data_time: 0.0352 memory: 11089 grad_norm: 5.4529 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1049 loss: 3.1049 2022/08/01 14:14:24 - mmengine - INFO - Epoch(train) [2][1380/1879] lr: 4.0000e-03 eta: 3 days, 2:48:13 time: 0.9307 data_time: 0.0331 memory: 11089 grad_norm: 5.3875 top1_acc: 0.2500 top5_acc: 0.3125 loss_cls: 2.6935 loss: 2.6935 2022/08/01 14:14:43 - mmengine - INFO - Epoch(train) [2][1400/1879] lr: 4.0000e-03 eta: 3 days, 2:47:01 time: 0.9355 data_time: 0.0299 memory: 11089 grad_norm: 5.4537 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9434 loss: 2.9434 2022/08/01 14:15:02 - mmengine - INFO - Epoch(train) [2][1420/1879] lr: 4.0000e-03 eta: 3 days, 2:45:56 time: 0.9396 data_time: 0.0394 memory: 11089 grad_norm: 5.3436 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.9843 loss: 2.9843 2022/08/01 14:15:20 - mmengine - INFO - Epoch(train) [2][1440/1879] lr: 4.0000e-03 eta: 3 days, 2:44:51 time: 0.9388 data_time: 0.0308 memory: 11089 grad_norm: 5.2944 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0111 loss: 3.0111 2022/08/01 14:15:39 - mmengine - INFO - Epoch(train) [2][1460/1879] lr: 4.0000e-03 eta: 3 days, 2:43:47 time: 0.9395 data_time: 0.0323 memory: 11089 grad_norm: 5.4167 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.0332 loss: 3.0332 2022/08/01 14:15:58 - mmengine - INFO - Epoch(train) [2][1480/1879] lr: 4.0000e-03 eta: 3 days, 2:42:46 time: 0.9404 data_time: 0.0329 memory: 11089 grad_norm: 5.3669 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.9122 loss: 2.9122 2022/08/01 14:16:17 - mmengine - INFO - Epoch(train) [2][1500/1879] lr: 4.0000e-03 eta: 3 days, 2:41:56 time: 0.9473 data_time: 0.0321 memory: 11089 grad_norm: 5.2611 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.7458 loss: 2.7458 2022/08/01 14:16:36 - mmengine - INFO - Epoch(train) [2][1520/1879] lr: 4.0000e-03 eta: 3 days, 2:41:21 time: 0.9562 data_time: 0.0412 memory: 11089 grad_norm: 5.3089 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 3.0248 loss: 3.0248 2022/08/01 14:16:55 - mmengine - INFO - Epoch(train) [2][1540/1879] lr: 4.0000e-03 eta: 3 days, 2:40:00 time: 0.9281 data_time: 0.0346 memory: 11089 grad_norm: 5.4367 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.0454 loss: 3.0454 2022/08/01 14:17:13 - mmengine - INFO - Epoch(train) [2][1560/1879] lr: 4.0000e-03 eta: 3 days, 2:38:43 time: 0.9296 data_time: 0.0317 memory: 11089 grad_norm: 5.3015 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.8831 loss: 2.8831 2022/08/01 14:17:32 - mmengine - INFO - Epoch(train) [2][1580/1879] lr: 4.0000e-03 eta: 3 days, 2:38:25 time: 0.9659 data_time: 0.0365 memory: 11089 grad_norm: 5.3095 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.9276 loss: 2.9276 2022/08/01 14:17:51 - mmengine - INFO - Epoch(train) [2][1600/1879] lr: 4.0000e-03 eta: 3 days, 2:37:23 time: 0.9385 data_time: 0.0321 memory: 11089 grad_norm: 5.4295 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.0300 loss: 3.0300 2022/08/01 14:18:10 - mmengine - INFO - Epoch(train) [2][1620/1879] lr: 4.0000e-03 eta: 3 days, 2:36:00 time: 0.9252 data_time: 0.0336 memory: 11089 grad_norm: 5.5716 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.1897 loss: 3.1897 2022/08/01 14:18:29 - mmengine - INFO - Epoch(train) [2][1640/1879] lr: 4.0000e-03 eta: 3 days, 2:34:57 time: 0.9373 data_time: 0.0291 memory: 11089 grad_norm: 5.4297 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9964 loss: 2.9964 2022/08/01 14:18:47 - mmengine - INFO - Epoch(train) [2][1660/1879] lr: 4.0000e-03 eta: 3 days, 2:33:37 time: 0.9260 data_time: 0.0349 memory: 11089 grad_norm: 5.4856 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.9149 loss: 2.9149 2022/08/01 14:19:06 - mmengine - INFO - Epoch(train) [2][1680/1879] lr: 4.0000e-03 eta: 3 days, 2:32:34 time: 0.9363 data_time: 0.0335 memory: 11089 grad_norm: 5.4738 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 2.8880 loss: 2.8880 2022/08/01 14:19:25 - mmengine - INFO - Epoch(train) [2][1700/1879] lr: 4.0000e-03 eta: 3 days, 2:31:38 time: 0.9405 data_time: 0.0374 memory: 11089 grad_norm: 5.4909 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.1948 loss: 3.1948 2022/08/01 14:19:43 - mmengine - INFO - Epoch(train) [2][1720/1879] lr: 4.0000e-03 eta: 3 days, 2:30:32 time: 0.9342 data_time: 0.0274 memory: 11089 grad_norm: 5.4781 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.8423 loss: 2.8423 2022/08/01 14:20:02 - mmengine - INFO - Epoch(train) [2][1740/1879] lr: 4.0000e-03 eta: 3 days, 2:29:54 time: 0.9515 data_time: 0.0402 memory: 11089 grad_norm: 5.3957 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.9182 loss: 2.9182 2022/08/01 14:20:21 - mmengine - INFO - Epoch(train) [2][1760/1879] lr: 4.0000e-03 eta: 3 days, 2:28:47 time: 0.9331 data_time: 0.0330 memory: 11089 grad_norm: 5.4547 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 3.1346 loss: 3.1346 2022/08/01 14:20:40 - mmengine - INFO - Epoch(train) [2][1780/1879] lr: 4.0000e-03 eta: 3 days, 2:27:41 time: 0.9326 data_time: 0.0339 memory: 11089 grad_norm: 5.4944 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.8584 loss: 2.8584 2022/08/01 14:20:58 - mmengine - INFO - Epoch(train) [2][1800/1879] lr: 4.0000e-03 eta: 3 days, 2:26:27 time: 0.9278 data_time: 0.0321 memory: 11089 grad_norm: 5.3974 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.0772 loss: 3.0772 2022/08/01 14:21:17 - mmengine - INFO - Epoch(train) [2][1820/1879] lr: 4.0000e-03 eta: 3 days, 2:25:28 time: 0.9370 data_time: 0.0316 memory: 11089 grad_norm: 5.4910 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.9532 loss: 2.9532 2022/08/01 14:21:35 - mmengine - INFO - Epoch(train) [2][1840/1879] lr: 4.0000e-03 eta: 3 days, 2:24:16 time: 0.9281 data_time: 0.0323 memory: 11089 grad_norm: 5.4436 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.8970 loss: 2.8970 2022/08/01 14:21:54 - mmengine - INFO - Epoch(train) [2][1860/1879] lr: 4.0000e-03 eta: 3 days, 2:23:10 time: 0.9316 data_time: 0.0306 memory: 11089 grad_norm: 5.4700 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.9176 loss: 2.9176 2022/08/01 14:22:12 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 14:22:12 - mmengine - INFO - Epoch(train) [2][1879/1879] lr: 4.0000e-03 eta: 3 days, 2:23:10 time: 0.9261 data_time: 0.0303 memory: 11089 grad_norm: 5.5854 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 3.1458 loss: 3.1458 2022/08/01 14:22:32 - mmengine - INFO - Epoch(train) [3][20/1879] lr: 6.0000e-03 eta: 3 days, 2:01:39 time: 1.0261 data_time: 0.1317 memory: 11089 grad_norm: 5.4484 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7696 loss: 2.7696 2022/08/01 14:22:51 - mmengine - INFO - Epoch(train) [3][40/1879] lr: 6.0000e-03 eta: 3 days, 2:00:47 time: 0.9359 data_time: 0.0362 memory: 11089 grad_norm: 5.4154 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9022 loss: 2.9022 2022/08/01 14:23:10 - mmengine - INFO - Epoch(train) [3][60/1879] lr: 6.0000e-03 eta: 3 days, 1:59:51 time: 0.9330 data_time: 0.0359 memory: 11089 grad_norm: 5.3915 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7170 loss: 2.7170 2022/08/01 14:23:29 - mmengine - INFO - Epoch(train) [3][80/1879] lr: 6.0000e-03 eta: 3 days, 1:59:07 time: 0.9413 data_time: 0.0406 memory: 11089 grad_norm: 5.3717 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.8296 loss: 2.8296 2022/08/01 14:23:47 - mmengine - INFO - Epoch(train) [3][100/1879] lr: 6.0000e-03 eta: 3 days, 1:58:08 time: 0.9304 data_time: 0.0337 memory: 11089 grad_norm: 5.4116 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.8206 loss: 2.8206 2022/08/01 14:24:05 - mmengine - INFO - Epoch(train) [3][120/1879] lr: 6.0000e-03 eta: 3 days, 1:56:35 time: 0.9060 data_time: 0.0262 memory: 11089 grad_norm: 5.4702 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6519 loss: 2.6519 2022/08/01 14:24:24 - mmengine - INFO - Epoch(train) [3][140/1879] lr: 6.0000e-03 eta: 3 days, 1:56:05 time: 0.9501 data_time: 0.0392 memory: 11089 grad_norm: 5.3904 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.8640 loss: 2.8640 2022/08/01 14:24:43 - mmengine - INFO - Epoch(train) [3][160/1879] lr: 6.0000e-03 eta: 3 days, 1:55:42 time: 0.9550 data_time: 0.0353 memory: 11089 grad_norm: 5.4684 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.9183 loss: 2.9183 2022/08/01 14:25:02 - mmengine - INFO - Epoch(train) [3][180/1879] lr: 6.0000e-03 eta: 3 days, 1:55:12 time: 0.9497 data_time: 0.0335 memory: 11089 grad_norm: 5.4616 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6489 loss: 2.6489 2022/08/01 14:25:21 - mmengine - INFO - Epoch(train) [3][200/1879] lr: 6.0000e-03 eta: 3 days, 1:54:16 time: 0.9316 data_time: 0.0283 memory: 11089 grad_norm: 5.5209 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7924 loss: 2.7924 2022/08/01 14:25:40 - mmengine - INFO - Epoch(train) [3][220/1879] lr: 6.0000e-03 eta: 3 days, 1:53:15 time: 0.9273 data_time: 0.0301 memory: 11089 grad_norm: 5.3753 top1_acc: 0.0625 top5_acc: 0.6250 loss_cls: 2.6976 loss: 2.6976 2022/08/01 14:25:58 - mmengine - INFO - Epoch(train) [3][240/1879] lr: 6.0000e-03 eta: 3 days, 1:52:42 time: 0.9472 data_time: 0.0332 memory: 11089 grad_norm: 5.4310 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.0374 loss: 3.0374 2022/08/01 14:26:00 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 14:26:18 - mmengine - INFO - Epoch(train) [3][260/1879] lr: 6.0000e-03 eta: 3 days, 1:52:16 time: 0.9524 data_time: 0.0394 memory: 11089 grad_norm: 5.3557 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8607 loss: 2.8607 2022/08/01 14:26:36 - mmengine - INFO - Epoch(train) [3][280/1879] lr: 6.0000e-03 eta: 3 days, 1:51:36 time: 0.9421 data_time: 0.0288 memory: 11089 grad_norm: 5.3322 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.7160 loss: 2.7160 2022/08/01 14:26:55 - mmengine - INFO - Epoch(train) [3][300/1879] lr: 6.0000e-03 eta: 3 days, 1:50:27 time: 0.9206 data_time: 0.0250 memory: 11089 grad_norm: 5.5055 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.8478 loss: 2.8478 2022/08/01 14:27:13 - mmengine - INFO - Epoch(train) [3][320/1879] lr: 6.0000e-03 eta: 3 days, 1:49:33 time: 0.9310 data_time: 0.0337 memory: 11089 grad_norm: 5.4517 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.8790 loss: 2.8790 2022/08/01 14:27:32 - mmengine - INFO - Epoch(train) [3][340/1879] lr: 6.0000e-03 eta: 3 days, 1:48:31 time: 0.9251 data_time: 0.0324 memory: 11089 grad_norm: 5.4214 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8071 loss: 2.8071 2022/08/01 14:27:51 - mmengine - INFO - Epoch(train) [3][360/1879] lr: 6.0000e-03 eta: 3 days, 1:47:39 time: 0.9323 data_time: 0.0235 memory: 11089 grad_norm: 5.5122 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.9529 loss: 2.9529 2022/08/01 14:28:09 - mmengine - INFO - Epoch(train) [3][380/1879] lr: 6.0000e-03 eta: 3 days, 1:46:43 time: 0.9290 data_time: 0.0304 memory: 11089 grad_norm: 5.4499 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.7603 loss: 2.7603 2022/08/01 14:28:28 - mmengine - INFO - Epoch(train) [3][400/1879] lr: 6.0000e-03 eta: 3 days, 1:45:51 time: 0.9323 data_time: 0.0371 memory: 11089 grad_norm: 5.5139 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 3.0866 loss: 3.0866 2022/08/01 14:28:47 - mmengine - INFO - Epoch(train) [3][420/1879] lr: 6.0000e-03 eta: 3 days, 1:45:25 time: 0.9509 data_time: 0.0383 memory: 11089 grad_norm: 5.5052 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.0137 loss: 3.0137 2022/08/01 14:29:06 - mmengine - INFO - Epoch(train) [3][440/1879] lr: 6.0000e-03 eta: 3 days, 1:45:00 time: 0.9516 data_time: 0.0407 memory: 11089 grad_norm: 5.4681 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7745 loss: 2.7745 2022/08/01 14:29:24 - mmengine - INFO - Epoch(train) [3][460/1879] lr: 6.0000e-03 eta: 3 days, 1:44:01 time: 0.9263 data_time: 0.0343 memory: 11089 grad_norm: 5.3935 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.7465 loss: 2.7465 2022/08/01 14:29:43 - mmengine - INFO - Epoch(train) [3][480/1879] lr: 6.0000e-03 eta: 3 days, 1:43:24 time: 0.9426 data_time: 0.0346 memory: 11089 grad_norm: 5.2827 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.7544 loss: 2.7544 2022/08/01 14:30:02 - mmengine - INFO - Epoch(train) [3][500/1879] lr: 6.0000e-03 eta: 3 days, 1:42:54 time: 0.9473 data_time: 0.0348 memory: 11089 grad_norm: 5.5300 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7071 loss: 2.7071 2022/08/01 14:30:21 - mmengine - INFO - Epoch(train) [3][520/1879] lr: 6.0000e-03 eta: 3 days, 1:41:56 time: 0.9264 data_time: 0.0318 memory: 11089 grad_norm: 5.4493 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.9342 loss: 2.9342 2022/08/01 14:30:40 - mmengine - INFO - Epoch(train) [3][540/1879] lr: 6.0000e-03 eta: 3 days, 1:41:24 time: 0.9454 data_time: 0.0360 memory: 11089 grad_norm: 5.3399 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.7715 loss: 2.7715 2022/08/01 14:30:58 - mmengine - INFO - Epoch(train) [3][560/1879] lr: 6.0000e-03 eta: 3 days, 1:40:46 time: 0.9416 data_time: 0.0372 memory: 11089 grad_norm: 5.4066 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8489 loss: 2.8489 2022/08/01 14:31:17 - mmengine - INFO - Epoch(train) [3][580/1879] lr: 6.0000e-03 eta: 3 days, 1:40:17 time: 0.9475 data_time: 0.0321 memory: 11089 grad_norm: 5.4799 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.5940 loss: 2.5940 2022/08/01 14:31:36 - mmengine - INFO - Epoch(train) [3][600/1879] lr: 6.0000e-03 eta: 3 days, 1:39:22 time: 0.9274 data_time: 0.0282 memory: 11089 grad_norm: 5.3561 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.8026 loss: 2.8026 2022/08/01 14:31:55 - mmengine - INFO - Epoch(train) [3][620/1879] lr: 6.0000e-03 eta: 3 days, 1:38:42 time: 0.9391 data_time: 0.0320 memory: 11089 grad_norm: 5.3892 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.9790 loss: 2.9790 2022/08/01 14:32:14 - mmengine - INFO - Epoch(train) [3][640/1879] lr: 6.0000e-03 eta: 3 days, 1:38:25 time: 0.9576 data_time: 0.0303 memory: 11089 grad_norm: 5.4432 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7707 loss: 2.7707 2022/08/01 14:32:32 - mmengine - INFO - Epoch(train) [3][660/1879] lr: 6.0000e-03 eta: 3 days, 1:37:32 time: 0.9281 data_time: 0.0308 memory: 11089 grad_norm: 5.3802 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8470 loss: 2.8470 2022/08/01 14:32:51 - mmengine - INFO - Epoch(train) [3][680/1879] lr: 6.0000e-03 eta: 3 days, 1:36:31 time: 0.9218 data_time: 0.0323 memory: 11089 grad_norm: 5.5163 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.9801 loss: 2.9801 2022/08/01 14:33:09 - mmengine - INFO - Epoch(train) [3][700/1879] lr: 6.0000e-03 eta: 3 days, 1:35:34 time: 0.9254 data_time: 0.0329 memory: 11089 grad_norm: 5.5326 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8586 loss: 2.8586 2022/08/01 14:33:28 - mmengine - INFO - Epoch(train) [3][720/1879] lr: 6.0000e-03 eta: 3 days, 1:34:32 time: 0.9200 data_time: 0.0315 memory: 11089 grad_norm: 5.3788 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.0085 loss: 3.0085 2022/08/01 14:33:46 - mmengine - INFO - Epoch(train) [3][740/1879] lr: 6.0000e-03 eta: 3 days, 1:33:24 time: 0.9157 data_time: 0.0313 memory: 11089 grad_norm: 5.4094 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.9988 loss: 2.9988 2022/08/01 14:34:05 - mmengine - INFO - Epoch(train) [3][760/1879] lr: 6.0000e-03 eta: 3 days, 1:33:02 time: 0.9526 data_time: 0.0345 memory: 11089 grad_norm: 5.3895 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.8766 loss: 2.8766 2022/08/01 14:34:24 - mmengine - INFO - Epoch(train) [3][780/1879] lr: 6.0000e-03 eta: 3 days, 1:32:21 time: 0.9365 data_time: 0.0287 memory: 11089 grad_norm: 5.3614 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7704 loss: 2.7704 2022/08/01 14:34:42 - mmengine - INFO - Epoch(train) [3][800/1879] lr: 6.0000e-03 eta: 3 days, 1:31:33 time: 0.9308 data_time: 0.0277 memory: 11089 grad_norm: 5.4103 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5229 loss: 2.5229 2022/08/01 14:35:01 - mmengine - INFO - Epoch(train) [3][820/1879] lr: 6.0000e-03 eta: 3 days, 1:30:36 time: 0.9235 data_time: 0.0361 memory: 11089 grad_norm: 5.4399 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.8359 loss: 2.8359 2022/08/01 14:35:20 - mmengine - INFO - Epoch(train) [3][840/1879] lr: 6.0000e-03 eta: 3 days, 1:30:19 time: 0.9563 data_time: 0.0368 memory: 11089 grad_norm: 5.4473 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.7301 loss: 2.7301 2022/08/01 14:35:39 - mmengine - INFO - Epoch(train) [3][860/1879] lr: 6.0000e-03 eta: 3 days, 1:29:29 time: 0.9284 data_time: 0.0310 memory: 11089 grad_norm: 5.3600 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.8408 loss: 2.8408 2022/08/01 14:35:58 - mmengine - INFO - Epoch(train) [3][880/1879] lr: 6.0000e-03 eta: 3 days, 1:29:06 time: 0.9509 data_time: 0.0380 memory: 11089 grad_norm: 5.4030 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.7566 loss: 2.7566 2022/08/01 14:36:17 - mmengine - INFO - Epoch(train) [3][900/1879] lr: 6.0000e-03 eta: 3 days, 1:28:37 time: 0.9458 data_time: 0.0367 memory: 11089 grad_norm: 5.4418 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8280 loss: 2.8280 2022/08/01 14:36:35 - mmengine - INFO - Epoch(train) [3][920/1879] lr: 6.0000e-03 eta: 3 days, 1:27:57 time: 0.9372 data_time: 0.0364 memory: 11089 grad_norm: 5.3612 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5398 loss: 2.5398 2022/08/01 14:36:54 - mmengine - INFO - Epoch(train) [3][940/1879] lr: 6.0000e-03 eta: 3 days, 1:27:16 time: 0.9356 data_time: 0.0268 memory: 11089 grad_norm: 5.3958 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.8836 loss: 2.8836 2022/08/01 14:37:13 - mmengine - INFO - Epoch(train) [3][960/1879] lr: 6.0000e-03 eta: 3 days, 1:26:43 time: 0.9424 data_time: 0.0317 memory: 11089 grad_norm: 5.4480 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6559 loss: 2.6559 2022/08/01 14:37:32 - mmengine - INFO - Epoch(train) [3][980/1879] lr: 6.0000e-03 eta: 3 days, 1:26:03 time: 0.9355 data_time: 0.0358 memory: 11089 grad_norm: 5.4406 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5486 loss: 2.5486 2022/08/01 14:37:50 - mmengine - INFO - Epoch(train) [3][1000/1879] lr: 6.0000e-03 eta: 3 days, 1:25:10 time: 0.9254 data_time: 0.0296 memory: 11089 grad_norm: 5.3985 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.6608 loss: 2.6608 2022/08/01 14:38:09 - mmengine - INFO - Epoch(train) [3][1020/1879] lr: 6.0000e-03 eta: 3 days, 1:24:16 time: 0.9236 data_time: 0.0323 memory: 11089 grad_norm: 5.4149 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7105 loss: 2.7105 2022/08/01 14:38:27 - mmengine - INFO - Epoch(train) [3][1040/1879] lr: 6.0000e-03 eta: 3 days, 1:23:26 time: 0.9267 data_time: 0.0295 memory: 11089 grad_norm: 5.3973 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.8673 loss: 2.8673 2022/08/01 14:38:46 - mmengine - INFO - Epoch(train) [3][1060/1879] lr: 6.0000e-03 eta: 3 days, 1:23:01 time: 0.9484 data_time: 0.0377 memory: 11089 grad_norm: 5.3288 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6158 loss: 2.6158 2022/08/01 14:39:05 - mmengine - INFO - Epoch(train) [3][1080/1879] lr: 6.0000e-03 eta: 3 days, 1:22:35 time: 0.9480 data_time: 0.0402 memory: 11089 grad_norm: 5.3117 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.7013 loss: 2.7013 2022/08/01 14:39:24 - mmengine - INFO - Epoch(train) [3][1100/1879] lr: 6.0000e-03 eta: 3 days, 1:21:52 time: 0.9324 data_time: 0.0325 memory: 11089 grad_norm: 5.2911 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.8229 loss: 2.8229 2022/08/01 14:39:42 - mmengine - INFO - Epoch(train) [3][1120/1879] lr: 6.0000e-03 eta: 3 days, 1:20:57 time: 0.9217 data_time: 0.0285 memory: 11089 grad_norm: 5.4677 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6086 loss: 2.6086 2022/08/01 14:40:01 - mmengine - INFO - Epoch(train) [3][1140/1879] lr: 6.0000e-03 eta: 3 days, 1:20:35 time: 0.9510 data_time: 0.0265 memory: 11089 grad_norm: 5.3636 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7994 loss: 2.7994 2022/08/01 14:40:20 - mmengine - INFO - Epoch(train) [3][1160/1879] lr: 6.0000e-03 eta: 3 days, 1:19:55 time: 0.9346 data_time: 0.0323 memory: 11089 grad_norm: 5.3227 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.7467 loss: 2.7467 2022/08/01 14:40:39 - mmengine - INFO - Epoch(train) [3][1180/1879] lr: 6.0000e-03 eta: 3 days, 1:19:17 time: 0.9369 data_time: 0.0341 memory: 11089 grad_norm: 5.3512 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6336 loss: 2.6336 2022/08/01 14:40:58 - mmengine - INFO - Epoch(train) [3][1200/1879] lr: 6.0000e-03 eta: 3 days, 1:18:50 time: 0.9462 data_time: 0.0311 memory: 11089 grad_norm: 5.5382 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.7435 loss: 2.7435 2022/08/01 14:41:16 - mmengine - INFO - Epoch(train) [3][1220/1879] lr: 6.0000e-03 eta: 3 days, 1:18:03 time: 0.9276 data_time: 0.0330 memory: 11089 grad_norm: 5.3531 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4790 loss: 2.4790 2022/08/01 14:41:35 - mmengine - INFO - Epoch(train) [3][1240/1879] lr: 6.0000e-03 eta: 3 days, 1:17:31 time: 0.9413 data_time: 0.0284 memory: 11089 grad_norm: 5.4322 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.7354 loss: 2.7354 2022/08/01 14:41:37 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 14:41:54 - mmengine - INFO - Epoch(train) [3][1260/1879] lr: 6.0000e-03 eta: 3 days, 1:17:02 time: 0.9447 data_time: 0.0354 memory: 11089 grad_norm: 5.3476 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.7658 loss: 2.7658 2022/08/01 14:42:12 - mmengine - INFO - Epoch(train) [3][1280/1879] lr: 6.0000e-03 eta: 3 days, 1:16:23 time: 0.9344 data_time: 0.0343 memory: 11089 grad_norm: 5.4684 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.8677 loss: 2.8677 2022/08/01 14:42:31 - mmengine - INFO - Epoch(train) [3][1300/1879] lr: 6.0000e-03 eta: 3 days, 1:15:46 time: 0.9363 data_time: 0.0379 memory: 11089 grad_norm: 5.4270 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9611 loss: 2.9611 2022/08/01 14:42:50 - mmengine - INFO - Epoch(train) [3][1320/1879] lr: 6.0000e-03 eta: 3 days, 1:14:49 time: 0.9179 data_time: 0.0318 memory: 11089 grad_norm: 5.4508 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.5869 loss: 2.5869 2022/08/01 14:43:08 - mmengine - INFO - Epoch(train) [3][1340/1879] lr: 6.0000e-03 eta: 3 days, 1:14:00 time: 0.9254 data_time: 0.0383 memory: 11089 grad_norm: 5.2972 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.6797 loss: 2.6797 2022/08/01 14:43:26 - mmengine - INFO - Epoch(train) [3][1360/1879] lr: 6.0000e-03 eta: 3 days, 1:12:59 time: 0.9139 data_time: 0.0313 memory: 11089 grad_norm: 5.3642 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.7844 loss: 2.7844 2022/08/01 14:43:45 - mmengine - INFO - Epoch(train) [3][1380/1879] lr: 6.0000e-03 eta: 3 days, 1:12:18 time: 0.9320 data_time: 0.0337 memory: 11089 grad_norm: 5.3220 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7885 loss: 2.7885 2022/08/01 14:44:04 - mmengine - INFO - Epoch(train) [3][1400/1879] lr: 6.0000e-03 eta: 3 days, 1:11:36 time: 0.9307 data_time: 0.0304 memory: 11089 grad_norm: 5.4080 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6151 loss: 2.6151 2022/08/01 14:44:22 - mmengine - INFO - Epoch(train) [3][1420/1879] lr: 6.0000e-03 eta: 3 days, 1:11:02 time: 0.9386 data_time: 0.0261 memory: 11089 grad_norm: 5.3765 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.8452 loss: 2.8452 2022/08/01 14:44:42 - mmengine - INFO - Epoch(train) [3][1440/1879] lr: 6.0000e-03 eta: 3 days, 1:11:00 time: 0.9683 data_time: 0.0392 memory: 11089 grad_norm: 5.2546 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.7538 loss: 2.7538 2022/08/01 14:45:00 - mmengine - INFO - Epoch(train) [3][1460/1879] lr: 6.0000e-03 eta: 3 days, 1:10:20 time: 0.9332 data_time: 0.0335 memory: 11089 grad_norm: 5.2232 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8549 loss: 2.8549 2022/08/01 14:45:19 - mmengine - INFO - Epoch(train) [3][1480/1879] lr: 6.0000e-03 eta: 3 days, 1:09:37 time: 0.9287 data_time: 0.0351 memory: 11089 grad_norm: 5.4082 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5258 loss: 2.5258 2022/08/01 14:45:38 - mmengine - INFO - Epoch(train) [3][1500/1879] lr: 6.0000e-03 eta: 3 days, 1:08:57 time: 0.9327 data_time: 0.0330 memory: 11089 grad_norm: 5.4087 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.8266 loss: 2.8266 2022/08/01 14:45:56 - mmengine - INFO - Epoch(train) [3][1520/1879] lr: 6.0000e-03 eta: 3 days, 1:08:29 time: 0.9431 data_time: 0.0343 memory: 11089 grad_norm: 5.3818 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6212 loss: 2.6212 2022/08/01 14:46:15 - mmengine - INFO - Epoch(train) [3][1540/1879] lr: 6.0000e-03 eta: 3 days, 1:07:34 time: 0.9180 data_time: 0.0294 memory: 11089 grad_norm: 5.4647 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.7237 loss: 2.7237 2022/08/01 14:46:34 - mmengine - INFO - Epoch(train) [3][1560/1879] lr: 6.0000e-03 eta: 3 days, 1:07:14 time: 0.9508 data_time: 0.0345 memory: 11089 grad_norm: 5.3801 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7920 loss: 2.7920 2022/08/01 14:46:52 - mmengine - INFO - Epoch(train) [3][1580/1879] lr: 6.0000e-03 eta: 3 days, 1:06:27 time: 0.9254 data_time: 0.0343 memory: 11089 grad_norm: 5.3264 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.8772 loss: 2.8772 2022/08/01 14:47:11 - mmengine - INFO - Epoch(train) [3][1600/1879] lr: 6.0000e-03 eta: 3 days, 1:06:11 time: 0.9549 data_time: 0.0363 memory: 11089 grad_norm: 5.2475 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.7254 loss: 2.7254 2022/08/01 14:47:30 - mmengine - INFO - Epoch(train) [3][1620/1879] lr: 6.0000e-03 eta: 3 days, 1:05:36 time: 0.9362 data_time: 0.0383 memory: 11089 grad_norm: 5.4629 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.9190 loss: 2.9190 2022/08/01 14:47:49 - mmengine - INFO - Epoch(train) [3][1640/1879] lr: 6.0000e-03 eta: 3 days, 1:05:18 time: 0.9526 data_time: 0.0345 memory: 11089 grad_norm: 5.3623 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7326 loss: 2.7326 2022/08/01 14:48:08 - mmengine - INFO - Epoch(train) [3][1660/1879] lr: 6.0000e-03 eta: 3 days, 1:04:55 time: 0.9478 data_time: 0.0350 memory: 11089 grad_norm: 5.3433 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7442 loss: 2.7442 2022/08/01 14:48:27 - mmengine - INFO - Epoch(train) [3][1680/1879] lr: 6.0000e-03 eta: 3 days, 1:04:22 time: 0.9375 data_time: 0.0392 memory: 11089 grad_norm: 5.5123 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7221 loss: 2.7221 2022/08/01 14:48:46 - mmengine - INFO - Epoch(train) [3][1700/1879] lr: 6.0000e-03 eta: 3 days, 1:03:48 time: 0.9371 data_time: 0.0347 memory: 11089 grad_norm: 5.4352 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.6577 loss: 2.6577 2022/08/01 14:49:04 - mmengine - INFO - Epoch(train) [3][1720/1879] lr: 6.0000e-03 eta: 3 days, 1:03:13 time: 0.9365 data_time: 0.0346 memory: 11089 grad_norm: 5.3846 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6738 loss: 2.6738 2022/08/01 14:49:23 - mmengine - INFO - Epoch(train) [3][1740/1879] lr: 6.0000e-03 eta: 3 days, 1:02:48 time: 0.9450 data_time: 0.0351 memory: 11089 grad_norm: 5.4808 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.8016 loss: 2.8016 2022/08/01 14:49:42 - mmengine - INFO - Epoch(train) [3][1760/1879] lr: 6.0000e-03 eta: 3 days, 1:02:14 time: 0.9373 data_time: 0.0336 memory: 11089 grad_norm: 5.3875 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.8678 loss: 2.8678 2022/08/01 14:50:01 - mmengine - INFO - Epoch(train) [3][1780/1879] lr: 6.0000e-03 eta: 3 days, 1:01:53 time: 0.9496 data_time: 0.0371 memory: 11089 grad_norm: 5.3714 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.6573 loss: 2.6573 2022/08/01 14:50:20 - mmengine - INFO - Epoch(train) [3][1800/1879] lr: 6.0000e-03 eta: 3 days, 1:01:09 time: 0.9256 data_time: 0.0345 memory: 11089 grad_norm: 5.4036 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.6124 loss: 2.6124 2022/08/01 14:50:39 - mmengine - INFO - Epoch(train) [3][1820/1879] lr: 6.0000e-03 eta: 3 days, 1:00:49 time: 0.9503 data_time: 0.0372 memory: 11089 grad_norm: 5.3095 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5502 loss: 2.5502 2022/08/01 14:50:57 - mmengine - INFO - Epoch(train) [3][1840/1879] lr: 6.0000e-03 eta: 3 days, 1:00:21 time: 0.9430 data_time: 0.0330 memory: 11089 grad_norm: 5.4498 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.7060 loss: 2.7060 2022/08/01 14:51:16 - mmengine - INFO - Epoch(train) [3][1860/1879] lr: 6.0000e-03 eta: 3 days, 0:59:39 time: 0.9280 data_time: 0.0302 memory: 11089 grad_norm: 5.4588 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.7988 loss: 2.7988 2022/08/01 14:51:34 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 14:51:34 - mmengine - INFO - Epoch(train) [3][1879/1879] lr: 6.0000e-03 eta: 3 days, 0:59:39 time: 0.9332 data_time: 0.0358 memory: 11089 grad_norm: 5.5250 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.7482 loss: 2.7482 2022/08/01 14:51:55 - mmengine - INFO - Epoch(train) [4][20/1879] lr: 8.0000e-03 eta: 3 days, 0:46:07 time: 1.0613 data_time: 0.1164 memory: 11089 grad_norm: 5.4178 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.6954 loss: 2.6954 2022/08/01 14:52:14 - mmengine - INFO - Epoch(train) [4][40/1879] lr: 8.0000e-03 eta: 3 days, 0:45:24 time: 0.9238 data_time: 0.0287 memory: 11089 grad_norm: 5.3648 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7922 loss: 2.7922 2022/08/01 14:52:32 - mmengine - INFO - Epoch(train) [4][60/1879] lr: 8.0000e-03 eta: 3 days, 0:45:01 time: 0.9441 data_time: 0.0368 memory: 11089 grad_norm: 5.3452 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5571 loss: 2.5571 2022/08/01 14:52:51 - mmengine - INFO - Epoch(train) [4][80/1879] lr: 8.0000e-03 eta: 3 days, 0:44:06 time: 0.9113 data_time: 0.0348 memory: 11089 grad_norm: 5.4149 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5354 loss: 2.5354 2022/08/01 14:53:10 - mmengine - INFO - Epoch(train) [4][100/1879] lr: 8.0000e-03 eta: 3 days, 0:43:49 time: 0.9503 data_time: 0.0378 memory: 11089 grad_norm: 5.4010 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.8972 loss: 2.8972 2022/08/01 14:53:29 - mmengine - INFO - Epoch(train) [4][120/1879] lr: 8.0000e-03 eta: 3 days, 0:43:29 time: 0.9477 data_time: 0.0435 memory: 11089 grad_norm: 5.3146 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6187 loss: 2.6187 2022/08/01 14:53:48 - mmengine - INFO - Epoch(train) [4][140/1879] lr: 8.0000e-03 eta: 3 days, 0:43:04 time: 0.9420 data_time: 0.0369 memory: 11089 grad_norm: 5.2163 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.7894 loss: 2.7894 2022/08/01 14:54:06 - mmengine - INFO - Epoch(train) [4][160/1879] lr: 8.0000e-03 eta: 3 days, 0:42:39 time: 0.9417 data_time: 0.0335 memory: 11089 grad_norm: 5.3503 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8499 loss: 2.8499 2022/08/01 14:54:25 - mmengine - INFO - Epoch(train) [4][180/1879] lr: 8.0000e-03 eta: 3 days, 0:41:54 time: 0.9202 data_time: 0.0309 memory: 11089 grad_norm: 5.3681 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.7515 loss: 2.7515 2022/08/01 14:54:44 - mmengine - INFO - Epoch(train) [4][200/1879] lr: 8.0000e-03 eta: 3 days, 0:41:35 time: 0.9481 data_time: 0.0385 memory: 11089 grad_norm: 5.3176 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6602 loss: 2.6602 2022/08/01 14:55:02 - mmengine - INFO - Epoch(train) [4][220/1879] lr: 8.0000e-03 eta: 3 days, 0:40:53 time: 0.9238 data_time: 0.0365 memory: 11089 grad_norm: 5.3486 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6254 loss: 2.6254 2022/08/01 14:55:21 - mmengine - INFO - Epoch(train) [4][240/1879] lr: 8.0000e-03 eta: 3 days, 0:40:31 time: 0.9448 data_time: 0.0328 memory: 11089 grad_norm: 5.4346 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7035 loss: 2.7035 2022/08/01 14:55:40 - mmengine - INFO - Epoch(train) [4][260/1879] lr: 8.0000e-03 eta: 3 days, 0:39:55 time: 0.9298 data_time: 0.0340 memory: 11089 grad_norm: 5.4238 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.7658 loss: 2.7658 2022/08/01 14:55:59 - mmengine - INFO - Epoch(train) [4][280/1879] lr: 8.0000e-03 eta: 3 days, 0:39:34 time: 0.9456 data_time: 0.0342 memory: 11089 grad_norm: 5.3050 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.6868 loss: 2.6868 2022/08/01 14:56:17 - mmengine - INFO - Epoch(train) [4][300/1879] lr: 8.0000e-03 eta: 3 days, 0:39:11 time: 0.9440 data_time: 0.0316 memory: 11089 grad_norm: 5.4405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5789 loss: 2.5789 2022/08/01 14:56:36 - mmengine - INFO - Epoch(train) [4][320/1879] lr: 8.0000e-03 eta: 3 days, 0:38:29 time: 0.9228 data_time: 0.0313 memory: 11089 grad_norm: 5.4202 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.7561 loss: 2.7561 2022/08/01 14:56:55 - mmengine - INFO - Epoch(train) [4][340/1879] lr: 8.0000e-03 eta: 3 days, 0:38:00 time: 0.9377 data_time: 0.0352 memory: 11089 grad_norm: 5.3769 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.7476 loss: 2.7476 2022/08/01 14:57:13 - mmengine - INFO - Epoch(train) [4][360/1879] lr: 8.0000e-03 eta: 3 days, 0:37:18 time: 0.9225 data_time: 0.0314 memory: 11089 grad_norm: 5.3003 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.7165 loss: 2.7165 2022/08/01 14:57:16 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 14:57:31 - mmengine - INFO - Epoch(train) [4][380/1879] lr: 8.0000e-03 eta: 3 days, 0:36:27 time: 0.9124 data_time: 0.0290 memory: 11089 grad_norm: 5.2464 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5936 loss: 2.5936 2022/08/01 14:57:50 - mmengine - INFO - Epoch(train) [4][400/1879] lr: 8.0000e-03 eta: 3 days, 0:35:44 time: 0.9212 data_time: 0.0287 memory: 11089 grad_norm: 5.2344 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.6350 loss: 2.6350 2022/08/01 14:58:08 - mmengine - INFO - Epoch(train) [4][420/1879] lr: 8.0000e-03 eta: 3 days, 0:35:12 time: 0.9337 data_time: 0.0341 memory: 11089 grad_norm: 5.2120 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6944 loss: 2.6944 2022/08/01 14:58:28 - mmengine - INFO - Epoch(train) [4][440/1879] lr: 8.0000e-03 eta: 3 days, 0:35:02 time: 0.9573 data_time: 0.0369 memory: 11089 grad_norm: 5.3808 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5826 loss: 2.5826 2022/08/01 14:58:46 - mmengine - INFO - Epoch(train) [4][460/1879] lr: 8.0000e-03 eta: 3 days, 0:34:25 time: 0.9276 data_time: 0.0254 memory: 11089 grad_norm: 5.4105 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6619 loss: 2.6619 2022/08/01 14:59:05 - mmengine - INFO - Epoch(train) [4][480/1879] lr: 8.0000e-03 eta: 3 days, 0:33:50 time: 0.9293 data_time: 0.0335 memory: 11089 grad_norm: 5.2876 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 2.8715 loss: 2.8715 2022/08/01 14:59:24 - mmengine - INFO - Epoch(train) [4][500/1879] lr: 8.0000e-03 eta: 3 days, 0:33:37 time: 0.9543 data_time: 0.0390 memory: 11089 grad_norm: 5.3091 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6138 loss: 2.6138 2022/08/01 14:59:43 - mmengine - INFO - Epoch(train) [4][520/1879] lr: 8.0000e-03 eta: 3 days, 0:33:27 time: 0.9570 data_time: 0.0387 memory: 11089 grad_norm: 5.1426 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3877 loss: 2.3877 2022/08/01 15:00:02 - mmengine - INFO - Epoch(train) [4][540/1879] lr: 8.0000e-03 eta: 3 days, 0:33:05 time: 0.9445 data_time: 0.0334 memory: 11089 grad_norm: 5.3084 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8086 loss: 2.8086 2022/08/01 15:00:21 - mmengine - INFO - Epoch(train) [4][560/1879] lr: 8.0000e-03 eta: 3 days, 0:32:33 time: 0.9326 data_time: 0.0334 memory: 11089 grad_norm: 5.2945 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5129 loss: 2.5129 2022/08/01 15:00:39 - mmengine - INFO - Epoch(train) [4][580/1879] lr: 8.0000e-03 eta: 3 days, 0:32:11 time: 0.9441 data_time: 0.0376 memory: 11089 grad_norm: 5.3520 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.7352 loss: 2.7352 2022/08/01 15:00:58 - mmengine - INFO - Epoch(train) [4][600/1879] lr: 8.0000e-03 eta: 3 days, 0:31:41 time: 0.9346 data_time: 0.0317 memory: 11089 grad_norm: 5.3002 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5118 loss: 2.5118 2022/08/01 15:01:17 - mmengine - INFO - Epoch(train) [4][620/1879] lr: 8.0000e-03 eta: 3 days, 0:31:06 time: 0.9293 data_time: 0.0307 memory: 11089 grad_norm: 5.2731 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4760 loss: 2.4760 2022/08/01 15:01:35 - mmengine - INFO - Epoch(train) [4][640/1879] lr: 8.0000e-03 eta: 3 days, 0:30:26 time: 0.9237 data_time: 0.0275 memory: 11089 grad_norm: 5.3366 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4083 loss: 2.4083 2022/08/01 15:01:54 - mmengine - INFO - Epoch(train) [4][660/1879] lr: 8.0000e-03 eta: 3 days, 0:29:45 time: 0.9222 data_time: 0.0303 memory: 11089 grad_norm: 5.4063 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5609 loss: 2.5609 2022/08/01 15:02:12 - mmengine - INFO - Epoch(train) [4][680/1879] lr: 8.0000e-03 eta: 3 days, 0:29:16 time: 0.9347 data_time: 0.0403 memory: 11089 grad_norm: 5.2500 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.5613 loss: 2.5613 2022/08/01 15:02:31 - mmengine - INFO - Epoch(train) [4][700/1879] lr: 8.0000e-03 eta: 3 days, 0:28:40 time: 0.9281 data_time: 0.0327 memory: 11089 grad_norm: 5.1975 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5591 loss: 2.5591 2022/08/01 15:02:49 - mmengine - INFO - Epoch(train) [4][720/1879] lr: 8.0000e-03 eta: 3 days, 0:27:54 time: 0.9156 data_time: 0.0306 memory: 11089 grad_norm: 5.2431 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.7407 loss: 2.7407 2022/08/01 15:03:08 - mmengine - INFO - Epoch(train) [4][740/1879] lr: 8.0000e-03 eta: 3 days, 0:27:14 time: 0.9220 data_time: 0.0323 memory: 11089 grad_norm: 5.2489 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5099 loss: 2.5099 2022/08/01 15:03:26 - mmengine - INFO - Epoch(train) [4][760/1879] lr: 8.0000e-03 eta: 3 days, 0:26:46 time: 0.9366 data_time: 0.0314 memory: 11089 grad_norm: 5.2881 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6594 loss: 2.6594 2022/08/01 15:03:45 - mmengine - INFO - Epoch(train) [4][780/1879] lr: 8.0000e-03 eta: 3 days, 0:26:05 time: 0.9220 data_time: 0.0303 memory: 11089 grad_norm: 5.3770 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.6590 loss: 2.6590 2022/08/01 15:04:04 - mmengine - INFO - Epoch(train) [4][800/1879] lr: 8.0000e-03 eta: 3 days, 0:25:40 time: 0.9389 data_time: 0.0356 memory: 11089 grad_norm: 5.2807 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.7106 loss: 2.7106 2022/08/01 15:04:22 - mmengine - INFO - Epoch(train) [4][820/1879] lr: 8.0000e-03 eta: 3 days, 0:25:13 time: 0.9378 data_time: 0.0393 memory: 11089 grad_norm: 5.2919 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6227 loss: 2.6227 2022/08/01 15:04:41 - mmengine - INFO - Epoch(train) [4][840/1879] lr: 8.0000e-03 eta: 3 days, 0:24:46 time: 0.9374 data_time: 0.0343 memory: 11089 grad_norm: 5.1921 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.5517 loss: 2.5517 2022/08/01 15:05:00 - mmengine - INFO - Epoch(train) [4][860/1879] lr: 8.0000e-03 eta: 3 days, 0:24:09 time: 0.9244 data_time: 0.0367 memory: 11089 grad_norm: 5.2990 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9220 loss: 2.9220 2022/08/01 15:05:18 - mmengine - INFO - Epoch(train) [4][880/1879] lr: 8.0000e-03 eta: 3 days, 0:23:46 time: 0.9421 data_time: 0.0323 memory: 11089 grad_norm: 5.2277 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5251 loss: 2.5251 2022/08/01 15:05:37 - mmengine - INFO - Epoch(train) [4][900/1879] lr: 8.0000e-03 eta: 3 days, 0:23:15 time: 0.9326 data_time: 0.0377 memory: 11089 grad_norm: 5.2128 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.6242 loss: 2.6242 2022/08/01 15:05:56 - mmengine - INFO - Epoch(train) [4][920/1879] lr: 8.0000e-03 eta: 3 days, 0:22:40 time: 0.9270 data_time: 0.0351 memory: 11089 grad_norm: 5.2251 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6181 loss: 2.6181 2022/08/01 15:06:14 - mmengine - INFO - Epoch(train) [4][940/1879] lr: 8.0000e-03 eta: 3 days, 0:22:04 time: 0.9261 data_time: 0.0416 memory: 11089 grad_norm: 5.2965 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8084 loss: 2.8084 2022/08/01 15:06:33 - mmengine - INFO - Epoch(train) [4][960/1879] lr: 8.0000e-03 eta: 3 days, 0:21:25 time: 0.9230 data_time: 0.0336 memory: 11089 grad_norm: 5.2275 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.5159 loss: 2.5159 2022/08/01 15:06:51 - mmengine - INFO - Epoch(train) [4][980/1879] lr: 8.0000e-03 eta: 3 days, 0:20:55 time: 0.9328 data_time: 0.0371 memory: 11089 grad_norm: 5.0823 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4915 loss: 2.4915 2022/08/01 15:07:10 - mmengine - INFO - Epoch(train) [4][1000/1879] lr: 8.0000e-03 eta: 3 days, 0:20:19 time: 0.9257 data_time: 0.0287 memory: 11089 grad_norm: 5.1816 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3942 loss: 2.3942 2022/08/01 15:07:28 - mmengine - INFO - Epoch(train) [4][1020/1879] lr: 8.0000e-03 eta: 3 days, 0:19:52 time: 0.9367 data_time: 0.0308 memory: 11089 grad_norm: 5.2417 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7671 loss: 2.7671 2022/08/01 15:07:47 - mmengine - INFO - Epoch(train) [4][1040/1879] lr: 8.0000e-03 eta: 3 days, 0:19:22 time: 0.9319 data_time: 0.0301 memory: 11089 grad_norm: 5.1728 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.5721 loss: 2.5721 2022/08/01 15:08:06 - mmengine - INFO - Epoch(train) [4][1060/1879] lr: 8.0000e-03 eta: 3 days, 0:18:48 time: 0.9283 data_time: 0.0284 memory: 11089 grad_norm: 5.2839 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5547 loss: 2.5547 2022/08/01 15:08:25 - mmengine - INFO - Epoch(train) [4][1080/1879] lr: 8.0000e-03 eta: 3 days, 0:18:33 time: 0.9515 data_time: 0.0367 memory: 11089 grad_norm: 5.2061 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4872 loss: 2.4872 2022/08/01 15:08:44 - mmengine - INFO - Epoch(train) [4][1100/1879] lr: 8.0000e-03 eta: 3 days, 0:18:18 time: 0.9502 data_time: 0.0384 memory: 11089 grad_norm: 5.2979 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.6019 loss: 2.6019 2022/08/01 15:09:03 - mmengine - INFO - Epoch(train) [4][1120/1879] lr: 8.0000e-03 eta: 3 days, 0:17:58 time: 0.9451 data_time: 0.0370 memory: 11089 grad_norm: 5.2796 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4880 loss: 2.4880 2022/08/01 15:09:21 - mmengine - INFO - Epoch(train) [4][1140/1879] lr: 8.0000e-03 eta: 3 days, 0:17:30 time: 0.9349 data_time: 0.0347 memory: 11089 grad_norm: 5.2606 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.7101 loss: 2.7101 2022/08/01 15:09:40 - mmengine - INFO - Epoch(train) [4][1160/1879] lr: 8.0000e-03 eta: 3 days, 0:16:58 time: 0.9294 data_time: 0.0375 memory: 11089 grad_norm: 5.2280 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4822 loss: 2.4822 2022/08/01 15:09:58 - mmengine - INFO - Epoch(train) [4][1180/1879] lr: 8.0000e-03 eta: 3 days, 0:16:25 time: 0.9288 data_time: 0.0351 memory: 11089 grad_norm: 5.2874 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5504 loss: 2.5504 2022/08/01 15:10:17 - mmengine - INFO - Epoch(train) [4][1200/1879] lr: 8.0000e-03 eta: 3 days, 0:16:02 time: 0.9412 data_time: 0.0306 memory: 11089 grad_norm: 5.2125 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7153 loss: 2.7153 2022/08/01 15:10:36 - mmengine - INFO - Epoch(train) [4][1220/1879] lr: 8.0000e-03 eta: 3 days, 0:15:41 time: 0.9439 data_time: 0.0350 memory: 11089 grad_norm: 5.2515 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6710 loss: 2.6710 2022/08/01 15:10:55 - mmengine - INFO - Epoch(train) [4][1240/1879] lr: 8.0000e-03 eta: 3 days, 0:15:21 time: 0.9440 data_time: 0.0405 memory: 11089 grad_norm: 5.2297 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5384 loss: 2.5384 2022/08/01 15:11:14 - mmengine - INFO - Epoch(train) [4][1260/1879] lr: 8.0000e-03 eta: 3 days, 0:15:04 time: 0.9489 data_time: 0.0427 memory: 11089 grad_norm: 5.2412 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7640 loss: 2.7640 2022/08/01 15:11:33 - mmengine - INFO - Epoch(train) [4][1280/1879] lr: 8.0000e-03 eta: 3 days, 0:14:38 time: 0.9368 data_time: 0.0333 memory: 11089 grad_norm: 5.1825 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.6142 loss: 2.6142 2022/08/01 15:11:51 - mmengine - INFO - Epoch(train) [4][1300/1879] lr: 8.0000e-03 eta: 3 days, 0:14:09 time: 0.9331 data_time: 0.0342 memory: 11089 grad_norm: 5.1987 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.4705 loss: 2.4705 2022/08/01 15:12:10 - mmengine - INFO - Epoch(train) [4][1320/1879] lr: 8.0000e-03 eta: 3 days, 0:13:36 time: 0.9281 data_time: 0.0351 memory: 11089 grad_norm: 5.3358 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6300 loss: 2.6300 2022/08/01 15:12:29 - mmengine - INFO - Epoch(train) [4][1340/1879] lr: 8.0000e-03 eta: 3 days, 0:13:15 time: 0.9431 data_time: 0.0350 memory: 11089 grad_norm: 5.2388 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6739 loss: 2.6739 2022/08/01 15:12:48 - mmengine - INFO - Epoch(train) [4][1360/1879] lr: 8.0000e-03 eta: 3 days, 0:13:05 time: 0.9577 data_time: 0.0342 memory: 11089 grad_norm: 5.2375 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5863 loss: 2.5863 2022/08/01 15:12:51 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 15:13:07 - mmengine - INFO - Epoch(train) [4][1380/1879] lr: 8.0000e-03 eta: 3 days, 0:12:47 time: 0.9468 data_time: 0.0338 memory: 11089 grad_norm: 5.2186 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.5162 loss: 2.5162 2022/08/01 15:13:26 - mmengine - INFO - Epoch(train) [4][1400/1879] lr: 8.0000e-03 eta: 3 days, 0:12:19 time: 0.9350 data_time: 0.0322 memory: 11089 grad_norm: 5.2179 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5479 loss: 2.5479 2022/08/01 15:13:44 - mmengine - INFO - Epoch(train) [4][1420/1879] lr: 8.0000e-03 eta: 3 days, 0:11:19 time: 0.8925 data_time: 0.0298 memory: 11089 grad_norm: 5.2900 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.7224 loss: 2.7224 2022/08/01 15:14:02 - mmengine - INFO - Epoch(train) [4][1440/1879] lr: 8.0000e-03 eta: 3 days, 0:10:56 time: 0.9401 data_time: 0.0312 memory: 11089 grad_norm: 5.1544 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5237 loss: 2.5237 2022/08/01 15:14:21 - mmengine - INFO - Epoch(train) [4][1460/1879] lr: 8.0000e-03 eta: 3 days, 0:10:28 time: 0.9342 data_time: 0.0311 memory: 11089 grad_norm: 5.0591 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4571 loss: 2.4571 2022/08/01 15:14:40 - mmengine - INFO - Epoch(train) [4][1480/1879] lr: 8.0000e-03 eta: 3 days, 0:09:59 time: 0.9321 data_time: 0.0411 memory: 11089 grad_norm: 5.0623 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4546 loss: 2.4546 2022/08/01 15:14:59 - mmengine - INFO - Epoch(train) [4][1500/1879] lr: 8.0000e-03 eta: 3 days, 0:09:38 time: 0.9431 data_time: 0.0383 memory: 11089 grad_norm: 5.1753 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6511 loss: 2.6511 2022/08/01 15:15:17 - mmengine - INFO - Epoch(train) [4][1520/1879] lr: 8.0000e-03 eta: 3 days, 0:09:06 time: 0.9289 data_time: 0.0307 memory: 11089 grad_norm: 5.1957 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4245 loss: 2.4245 2022/08/01 15:15:36 - mmengine - INFO - Epoch(train) [4][1540/1879] lr: 8.0000e-03 eta: 3 days, 0:08:30 time: 0.9236 data_time: 0.0344 memory: 11089 grad_norm: 5.1983 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5774 loss: 2.5774 2022/08/01 15:15:55 - mmengine - INFO - Epoch(train) [4][1560/1879] lr: 8.0000e-03 eta: 3 days, 0:08:15 time: 0.9509 data_time: 0.0326 memory: 11089 grad_norm: 5.2375 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5833 loss: 2.5833 2022/08/01 15:16:13 - mmengine - INFO - Epoch(train) [4][1580/1879] lr: 8.0000e-03 eta: 3 days, 0:07:39 time: 0.9230 data_time: 0.0295 memory: 11089 grad_norm: 4.9927 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3984 loss: 2.3984 2022/08/01 15:16:32 - mmengine - INFO - Epoch(train) [4][1600/1879] lr: 8.0000e-03 eta: 3 days, 0:07:10 time: 0.9316 data_time: 0.0304 memory: 11089 grad_norm: 5.1971 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.7173 loss: 2.7173 2022/08/01 15:16:50 - mmengine - INFO - Epoch(train) [4][1620/1879] lr: 8.0000e-03 eta: 3 days, 0:06:44 time: 0.9365 data_time: 0.0354 memory: 11089 grad_norm: 5.2351 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3826 loss: 2.3826 2022/08/01 15:17:09 - mmengine - INFO - Epoch(train) [4][1640/1879] lr: 8.0000e-03 eta: 3 days, 0:06:08 time: 0.9222 data_time: 0.0274 memory: 11089 grad_norm: 5.2195 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.7758 loss: 2.7758 2022/08/01 15:17:28 - mmengine - INFO - Epoch(train) [4][1660/1879] lr: 8.0000e-03 eta: 3 days, 0:05:43 time: 0.9376 data_time: 0.0374 memory: 11089 grad_norm: 5.1648 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5614 loss: 2.5614 2022/08/01 15:17:46 - mmengine - INFO - Epoch(train) [4][1680/1879] lr: 8.0000e-03 eta: 3 days, 0:05:08 time: 0.9233 data_time: 0.0277 memory: 11089 grad_norm: 5.1379 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5564 loss: 2.5564 2022/08/01 15:18:05 - mmengine - INFO - Epoch(train) [4][1700/1879] lr: 8.0000e-03 eta: 3 days, 0:04:54 time: 0.9525 data_time: 0.0330 memory: 11089 grad_norm: 5.2469 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.7145 loss: 2.7145 2022/08/01 15:18:24 - mmengine - INFO - Epoch(train) [4][1720/1879] lr: 8.0000e-03 eta: 3 days, 0:04:33 time: 0.9420 data_time: 0.0439 memory: 11089 grad_norm: 5.1501 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.4570 loss: 2.4570 2022/08/01 15:18:42 - mmengine - INFO - Epoch(train) [4][1740/1879] lr: 8.0000e-03 eta: 3 days, 0:03:58 time: 0.9243 data_time: 0.0362 memory: 11089 grad_norm: 5.1605 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5544 loss: 2.5544 2022/08/01 15:19:01 - mmengine - INFO - Epoch(train) [4][1760/1879] lr: 8.0000e-03 eta: 3 days, 0:03:37 time: 0.9417 data_time: 0.0314 memory: 11089 grad_norm: 5.1055 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5735 loss: 2.5735 2022/08/01 15:19:20 - mmengine - INFO - Epoch(train) [4][1780/1879] lr: 8.0000e-03 eta: 3 days, 0:03:23 time: 0.9522 data_time: 0.0344 memory: 11089 grad_norm: 5.2231 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5023 loss: 2.5023 2022/08/01 15:19:39 - mmengine - INFO - Epoch(train) [4][1800/1879] lr: 8.0000e-03 eta: 3 days, 0:02:58 time: 0.9369 data_time: 0.0402 memory: 11089 grad_norm: 5.1772 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.4763 loss: 2.4763 2022/08/01 15:19:58 - mmengine - INFO - Epoch(train) [4][1820/1879] lr: 8.0000e-03 eta: 3 days, 0:02:34 time: 0.9382 data_time: 0.0309 memory: 11089 grad_norm: 5.2646 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6138 loss: 2.6138 2022/08/01 15:20:17 - mmengine - INFO - Epoch(train) [4][1840/1879] lr: 8.0000e-03 eta: 3 days, 0:02:15 time: 0.9457 data_time: 0.0342 memory: 11089 grad_norm: 5.2255 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.4440 loss: 2.4440 2022/08/01 15:20:35 - mmengine - INFO - Epoch(train) [4][1860/1879] lr: 8.0000e-03 eta: 3 days, 0:01:43 time: 0.9265 data_time: 0.0298 memory: 11089 grad_norm: 5.0274 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6538 loss: 2.6538 2022/08/01 15:20:52 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 15:20:52 - mmengine - INFO - Epoch(train) [4][1879/1879] lr: 8.0000e-03 eta: 3 days, 0:01:43 time: 0.8979 data_time: 0.0351 memory: 11089 grad_norm: 5.3329 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.6032 loss: 2.6032 2022/08/01 15:20:53 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/08/01 15:21:15 - mmengine - INFO - Epoch(train) [5][20/1879] lr: 1.0000e-02 eta: 2 days, 23:51:14 time: 1.0302 data_time: 0.1154 memory: 11089 grad_norm: 5.0952 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4876 loss: 2.4876 2022/08/01 15:21:34 - mmengine - INFO - Epoch(train) [5][40/1879] lr: 1.0000e-02 eta: 2 days, 23:50:44 time: 0.9274 data_time: 0.0312 memory: 11089 grad_norm: 5.3380 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.6731 loss: 2.6731 2022/08/01 15:21:53 - mmengine - INFO - Epoch(train) [5][60/1879] lr: 1.0000e-02 eta: 2 days, 23:50:26 time: 0.9446 data_time: 0.0362 memory: 11089 grad_norm: 5.2307 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.7987 loss: 2.7987 2022/08/01 15:22:12 - mmengine - INFO - Epoch(train) [5][80/1879] lr: 1.0000e-02 eta: 2 days, 23:50:13 time: 0.9507 data_time: 0.0381 memory: 11089 grad_norm: 5.1577 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5263 loss: 2.5263 2022/08/01 15:22:31 - mmengine - INFO - Epoch(train) [5][100/1879] lr: 1.0000e-02 eta: 2 days, 23:50:03 time: 0.9549 data_time: 0.0296 memory: 11089 grad_norm: 5.2205 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5954 loss: 2.5954 2022/08/01 15:22:49 - mmengine - INFO - Epoch(train) [5][120/1879] lr: 1.0000e-02 eta: 2 days, 23:49:24 time: 0.9158 data_time: 0.0349 memory: 11089 grad_norm: 5.1265 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5521 loss: 2.5521 2022/08/01 15:23:08 - mmengine - INFO - Epoch(train) [5][140/1879] lr: 1.0000e-02 eta: 2 days, 23:49:07 time: 0.9453 data_time: 0.0361 memory: 11089 grad_norm: 5.1916 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.5646 loss: 2.5646 2022/08/01 15:23:27 - mmengine - INFO - Epoch(train) [5][160/1879] lr: 1.0000e-02 eta: 2 days, 23:48:35 time: 0.9246 data_time: 0.0374 memory: 11089 grad_norm: 5.2181 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.8470 loss: 2.8470 2022/08/01 15:23:46 - mmengine - INFO - Epoch(train) [5][180/1879] lr: 1.0000e-02 eta: 2 days, 23:48:18 time: 0.9454 data_time: 0.0334 memory: 11089 grad_norm: 5.0979 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5228 loss: 2.5228 2022/08/01 15:24:04 - mmengine - INFO - Epoch(train) [5][200/1879] lr: 1.0000e-02 eta: 2 days, 23:47:49 time: 0.9287 data_time: 0.0330 memory: 11089 grad_norm: 5.2999 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7564 loss: 2.7564 2022/08/01 15:24:23 - mmengine - INFO - Epoch(train) [5][220/1879] lr: 1.0000e-02 eta: 2 days, 23:47:14 time: 0.9200 data_time: 0.0294 memory: 11089 grad_norm: 5.1361 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5188 loss: 2.5188 2022/08/01 15:24:41 - mmengine - INFO - Epoch(train) [5][240/1879] lr: 1.0000e-02 eta: 2 days, 23:46:51 time: 0.9365 data_time: 0.0360 memory: 11089 grad_norm: 5.1688 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.8245 loss: 2.8245 2022/08/01 15:25:00 - mmengine - INFO - Epoch(train) [5][260/1879] lr: 1.0000e-02 eta: 2 days, 23:46:23 time: 0.9307 data_time: 0.0338 memory: 11089 grad_norm: 5.1449 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4529 loss: 2.4529 2022/08/01 15:25:19 - mmengine - INFO - Epoch(train) [5][280/1879] lr: 1.0000e-02 eta: 2 days, 23:46:00 time: 0.9365 data_time: 0.0315 memory: 11089 grad_norm: 5.0715 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3264 loss: 2.3264 2022/08/01 15:25:37 - mmengine - INFO - Epoch(train) [5][300/1879] lr: 1.0000e-02 eta: 2 days, 23:45:24 time: 0.9178 data_time: 0.0344 memory: 11089 grad_norm: 5.0844 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3831 loss: 2.3831 2022/08/01 15:25:56 - mmengine - INFO - Epoch(train) [5][320/1879] lr: 1.0000e-02 eta: 2 days, 23:45:09 time: 0.9477 data_time: 0.0366 memory: 11089 grad_norm: 5.1971 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2763 loss: 2.2763 2022/08/01 15:26:15 - mmengine - INFO - Epoch(train) [5][340/1879] lr: 1.0000e-02 eta: 2 days, 23:44:43 time: 0.9326 data_time: 0.0330 memory: 11089 grad_norm: 5.0532 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3197 loss: 2.3197 2022/08/01 15:26:34 - mmengine - INFO - Epoch(train) [5][360/1879] lr: 1.0000e-02 eta: 2 days, 23:44:25 time: 0.9440 data_time: 0.0338 memory: 11089 grad_norm: 5.1803 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4255 loss: 2.4255 2022/08/01 15:26:53 - mmengine - INFO - Epoch(train) [5][380/1879] lr: 1.0000e-02 eta: 2 days, 23:44:33 time: 0.9813 data_time: 0.0413 memory: 11089 grad_norm: 5.0426 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.6140 loss: 2.6140 2022/08/01 15:27:12 - mmengine - INFO - Epoch(train) [5][400/1879] lr: 1.0000e-02 eta: 2 days, 23:44:11 time: 0.9385 data_time: 0.0356 memory: 11089 grad_norm: 5.1141 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4747 loss: 2.4747 2022/08/01 15:27:30 - mmengine - INFO - Epoch(train) [5][420/1879] lr: 1.0000e-02 eta: 2 days, 23:43:41 time: 0.9272 data_time: 0.0294 memory: 11089 grad_norm: 5.0431 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3970 loss: 2.3970 2022/08/01 15:27:49 - mmengine - INFO - Epoch(train) [5][440/1879] lr: 1.0000e-02 eta: 2 days, 23:43:04 time: 0.9159 data_time: 0.0320 memory: 11089 grad_norm: 5.2111 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.6572 loss: 2.6572 2022/08/01 15:28:08 - mmengine - INFO - Epoch(train) [5][460/1879] lr: 1.0000e-02 eta: 2 days, 23:42:50 time: 0.9495 data_time: 0.0304 memory: 11089 grad_norm: 5.1292 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.7002 loss: 2.7002 2022/08/01 15:28:27 - mmengine - INFO - Epoch(train) [5][480/1879] lr: 1.0000e-02 eta: 2 days, 23:42:34 time: 0.9471 data_time: 0.0305 memory: 11089 grad_norm: 5.1682 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6745 loss: 2.6745 2022/08/01 15:28:30 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 15:28:45 - mmengine - INFO - Epoch(train) [5][500/1879] lr: 1.0000e-02 eta: 2 days, 23:42:05 time: 0.9283 data_time: 0.0261 memory: 11089 grad_norm: 5.1233 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5467 loss: 2.5467 2022/08/01 15:29:04 - mmengine - INFO - Epoch(train) [5][520/1879] lr: 1.0000e-02 eta: 2 days, 23:41:33 time: 0.9225 data_time: 0.0316 memory: 11089 grad_norm: 5.1793 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.6282 loss: 2.6282 2022/08/01 15:29:22 - mmengine - INFO - Epoch(train) [5][540/1879] lr: 1.0000e-02 eta: 2 days, 23:41:07 time: 0.9331 data_time: 0.0282 memory: 11089 grad_norm: 5.0019 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5634 loss: 2.5634 2022/08/01 15:29:42 - mmengine - INFO - Epoch(train) [5][560/1879] lr: 1.0000e-02 eta: 2 days, 23:41:00 time: 0.9591 data_time: 0.0296 memory: 11089 grad_norm: 5.1311 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6802 loss: 2.6802 2022/08/01 15:30:00 - mmengine - INFO - Epoch(train) [5][580/1879] lr: 1.0000e-02 eta: 2 days, 23:40:33 time: 0.9307 data_time: 0.0327 memory: 11089 grad_norm: 5.0270 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6594 loss: 2.6594 2022/08/01 15:30:19 - mmengine - INFO - Epoch(train) [5][600/1879] lr: 1.0000e-02 eta: 2 days, 23:40:13 time: 0.9406 data_time: 0.0350 memory: 11089 grad_norm: 5.1922 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.3096 loss: 2.3096 2022/08/01 15:30:38 - mmengine - INFO - Epoch(train) [5][620/1879] lr: 1.0000e-02 eta: 2 days, 23:39:45 time: 0.9298 data_time: 0.0361 memory: 11089 grad_norm: 5.1181 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6401 loss: 2.6401 2022/08/01 15:30:56 - mmengine - INFO - Epoch(train) [5][640/1879] lr: 1.0000e-02 eta: 2 days, 23:39:27 time: 0.9427 data_time: 0.0341 memory: 11089 grad_norm: 5.0100 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5811 loss: 2.5811 2022/08/01 15:31:15 - mmengine - INFO - Epoch(train) [5][660/1879] lr: 1.0000e-02 eta: 2 days, 23:39:04 time: 0.9371 data_time: 0.0360 memory: 11089 grad_norm: 4.9623 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.5622 loss: 2.5622 2022/08/01 15:31:34 - mmengine - INFO - Epoch(train) [5][680/1879] lr: 1.0000e-02 eta: 2 days, 23:38:43 time: 0.9398 data_time: 0.0326 memory: 11089 grad_norm: 4.9703 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.6767 loss: 2.6767 2022/08/01 15:31:53 - mmengine - INFO - Epoch(train) [5][700/1879] lr: 1.0000e-02 eta: 2 days, 23:38:21 time: 0.9371 data_time: 0.0366 memory: 11089 grad_norm: 5.1158 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5066 loss: 2.5066 2022/08/01 15:32:11 - mmengine - INFO - Epoch(train) [5][720/1879] lr: 1.0000e-02 eta: 2 days, 23:37:51 time: 0.9261 data_time: 0.0360 memory: 11089 grad_norm: 4.9833 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.5493 loss: 2.5493 2022/08/01 15:32:30 - mmengine - INFO - Epoch(train) [5][740/1879] lr: 1.0000e-02 eta: 2 days, 23:37:28 time: 0.9362 data_time: 0.0355 memory: 11089 grad_norm: 4.9918 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.6684 loss: 2.6684 2022/08/01 15:32:49 - mmengine - INFO - Epoch(train) [5][760/1879] lr: 1.0000e-02 eta: 2 days, 23:37:03 time: 0.9332 data_time: 0.0306 memory: 11089 grad_norm: 5.0747 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.6300 loss: 2.6300 2022/08/01 15:33:07 - mmengine - INFO - Epoch(train) [5][780/1879] lr: 1.0000e-02 eta: 2 days, 23:36:37 time: 0.9307 data_time: 0.0305 memory: 11089 grad_norm: 5.0692 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.6559 loss: 2.6559 2022/08/01 15:33:26 - mmengine - INFO - Epoch(train) [5][800/1879] lr: 1.0000e-02 eta: 2 days, 23:36:06 time: 0.9250 data_time: 0.0341 memory: 11089 grad_norm: 5.1546 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.4502 loss: 2.4502 2022/08/01 15:33:44 - mmengine - INFO - Epoch(train) [5][820/1879] lr: 1.0000e-02 eta: 2 days, 23:35:17 time: 0.8959 data_time: 0.0279 memory: 11089 grad_norm: 5.0819 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6198 loss: 2.6198 2022/08/01 15:34:03 - mmengine - INFO - Epoch(train) [5][840/1879] lr: 1.0000e-02 eta: 2 days, 23:35:05 time: 0.9535 data_time: 0.0345 memory: 11089 grad_norm: 5.1003 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5353 loss: 2.5353 2022/08/01 15:34:22 - mmengine - INFO - Epoch(train) [5][860/1879] lr: 1.0000e-02 eta: 2 days, 23:34:45 time: 0.9399 data_time: 0.0352 memory: 11089 grad_norm: 5.0618 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5270 loss: 2.5270 2022/08/01 15:34:41 - mmengine - INFO - Epoch(train) [5][880/1879] lr: 1.0000e-02 eta: 2 days, 23:34:34 time: 0.9549 data_time: 0.0388 memory: 11089 grad_norm: 4.9589 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4803 loss: 2.4803 2022/08/01 15:34:59 - mmengine - INFO - Epoch(train) [5][900/1879] lr: 1.0000e-02 eta: 2 days, 23:34:16 time: 0.9422 data_time: 0.0253 memory: 11089 grad_norm: 5.0350 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4888 loss: 2.4888 2022/08/01 15:35:18 - mmengine - INFO - Epoch(train) [5][920/1879] lr: 1.0000e-02 eta: 2 days, 23:33:58 time: 0.9451 data_time: 0.0325 memory: 11089 grad_norm: 5.1161 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.8750 loss: 2.8750 2022/08/01 15:35:38 - mmengine - INFO - Epoch(train) [5][940/1879] lr: 1.0000e-02 eta: 2 days, 23:33:52 time: 0.9618 data_time: 0.0320 memory: 11089 grad_norm: 5.0280 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.6399 loss: 2.6399 2022/08/01 15:35:56 - mmengine - INFO - Epoch(train) [5][960/1879] lr: 1.0000e-02 eta: 2 days, 23:33:20 time: 0.9223 data_time: 0.0293 memory: 11089 grad_norm: 5.0184 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5696 loss: 2.5696 2022/08/01 15:36:15 - mmengine - INFO - Epoch(train) [5][980/1879] lr: 1.0000e-02 eta: 2 days, 23:32:53 time: 0.9287 data_time: 0.0330 memory: 11089 grad_norm: 5.0482 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.7283 loss: 2.7283 2022/08/01 15:36:34 - mmengine - INFO - Epoch(train) [5][1000/1879] lr: 1.0000e-02 eta: 2 days, 23:32:39 time: 0.9499 data_time: 0.0295 memory: 11089 grad_norm: 5.0813 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.6156 loss: 2.6156 2022/08/01 15:36:52 - mmengine - INFO - Epoch(train) [5][1020/1879] lr: 1.0000e-02 eta: 2 days, 23:32:10 time: 0.9262 data_time: 0.0318 memory: 11089 grad_norm: 5.0245 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.5027 loss: 2.5027 2022/08/01 15:37:11 - mmengine - INFO - Epoch(train) [5][1040/1879] lr: 1.0000e-02 eta: 2 days, 23:31:53 time: 0.9455 data_time: 0.0363 memory: 11089 grad_norm: 5.1109 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5811 loss: 2.5811 2022/08/01 15:37:30 - mmengine - INFO - Epoch(train) [5][1060/1879] lr: 1.0000e-02 eta: 2 days, 23:31:30 time: 0.9356 data_time: 0.0288 memory: 11089 grad_norm: 4.9546 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2950 loss: 2.2950 2022/08/01 15:37:49 - mmengine - INFO - Epoch(train) [5][1080/1879] lr: 1.0000e-02 eta: 2 days, 23:31:13 time: 0.9454 data_time: 0.0358 memory: 11089 grad_norm: 5.0719 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4223 loss: 2.4223 2022/08/01 15:38:07 - mmengine - INFO - Epoch(train) [5][1100/1879] lr: 1.0000e-02 eta: 2 days, 23:30:52 time: 0.9384 data_time: 0.0336 memory: 11089 grad_norm: 4.9816 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2079 loss: 2.2079 2022/08/01 15:38:27 - mmengine - INFO - Epoch(train) [5][1120/1879] lr: 1.0000e-02 eta: 2 days, 23:30:40 time: 0.9533 data_time: 0.0336 memory: 11089 grad_norm: 5.0440 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4132 loss: 2.4132 2022/08/01 15:38:45 - mmengine - INFO - Epoch(train) [5][1140/1879] lr: 1.0000e-02 eta: 2 days, 23:30:19 time: 0.9383 data_time: 0.0377 memory: 11089 grad_norm: 5.1352 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5066 loss: 2.5066 2022/08/01 15:39:04 - mmengine - INFO - Epoch(train) [5][1160/1879] lr: 1.0000e-02 eta: 2 days, 23:29:56 time: 0.9356 data_time: 0.0307 memory: 11089 grad_norm: 4.9274 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4911 loss: 2.4911 2022/08/01 15:39:23 - mmengine - INFO - Epoch(train) [5][1180/1879] lr: 1.0000e-02 eta: 2 days, 23:29:37 time: 0.9421 data_time: 0.0317 memory: 11089 grad_norm: 5.1424 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.5170 loss: 2.5170 2022/08/01 15:39:41 - mmengine - INFO - Epoch(train) [5][1200/1879] lr: 1.0000e-02 eta: 2 days, 23:29:07 time: 0.9246 data_time: 0.0282 memory: 11089 grad_norm: 5.1058 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7191 loss: 2.7191 2022/08/01 15:40:00 - mmengine - INFO - Epoch(train) [5][1220/1879] lr: 1.0000e-02 eta: 2 days, 23:28:41 time: 0.9309 data_time: 0.0315 memory: 11089 grad_norm: 5.0407 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5197 loss: 2.5197 2022/08/01 15:40:19 - mmengine - INFO - Epoch(train) [5][1240/1879] lr: 1.0000e-02 eta: 2 days, 23:28:31 time: 0.9573 data_time: 0.0351 memory: 11089 grad_norm: 4.9806 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.2840 loss: 2.2840 2022/08/01 15:40:38 - mmengine - INFO - Epoch(train) [5][1260/1879] lr: 1.0000e-02 eta: 2 days, 23:28:02 time: 0.9244 data_time: 0.0323 memory: 11089 grad_norm: 4.9265 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3739 loss: 2.3739 2022/08/01 15:40:56 - mmengine - INFO - Epoch(train) [5][1280/1879] lr: 1.0000e-02 eta: 2 days, 23:27:39 time: 0.9368 data_time: 0.0327 memory: 11089 grad_norm: 4.9402 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.5865 loss: 2.5865 2022/08/01 15:41:15 - mmengine - INFO - Epoch(train) [5][1300/1879] lr: 1.0000e-02 eta: 2 days, 23:27:15 time: 0.9336 data_time: 0.0373 memory: 11089 grad_norm: 4.9466 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2384 loss: 2.2384 2022/08/01 15:41:34 - mmengine - INFO - Epoch(train) [5][1320/1879] lr: 1.0000e-02 eta: 2 days, 23:27:04 time: 0.9547 data_time: 0.0356 memory: 11089 grad_norm: 4.9328 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.6528 loss: 2.6528 2022/08/01 15:41:53 - mmengine - INFO - Epoch(train) [5][1340/1879] lr: 1.0000e-02 eta: 2 days, 23:26:41 time: 0.9345 data_time: 0.0360 memory: 11089 grad_norm: 5.1028 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5033 loss: 2.5033 2022/08/01 15:42:11 - mmengine - INFO - Epoch(train) [5][1360/1879] lr: 1.0000e-02 eta: 2 days, 23:25:56 time: 0.9005 data_time: 0.0294 memory: 11089 grad_norm: 5.0724 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4737 loss: 2.4737 2022/08/01 15:42:30 - mmengine - INFO - Epoch(train) [5][1380/1879] lr: 1.0000e-02 eta: 2 days, 23:25:39 time: 0.9442 data_time: 0.0315 memory: 11089 grad_norm: 5.1092 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2724 loss: 2.2724 2022/08/01 15:42:48 - mmengine - INFO - Epoch(train) [5][1400/1879] lr: 1.0000e-02 eta: 2 days, 23:25:18 time: 0.9385 data_time: 0.0302 memory: 11089 grad_norm: 5.1696 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1294 loss: 2.1294 2022/08/01 15:43:07 - mmengine - INFO - Epoch(train) [5][1420/1879] lr: 1.0000e-02 eta: 2 days, 23:24:56 time: 0.9379 data_time: 0.0321 memory: 11089 grad_norm: 5.0924 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3593 loss: 2.3593 2022/08/01 15:43:26 - mmengine - INFO - Epoch(train) [5][1440/1879] lr: 1.0000e-02 eta: 2 days, 23:24:29 time: 0.9286 data_time: 0.0341 memory: 11089 grad_norm: 4.9756 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.4416 loss: 2.4416 2022/08/01 15:43:44 - mmengine - INFO - Epoch(train) [5][1460/1879] lr: 1.0000e-02 eta: 2 days, 23:23:55 time: 0.9174 data_time: 0.0292 memory: 11089 grad_norm: 5.0091 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6112 loss: 2.6112 2022/08/01 15:44:03 - mmengine - INFO - Epoch(train) [5][1480/1879] lr: 1.0000e-02 eta: 2 days, 23:23:30 time: 0.9306 data_time: 0.0267 memory: 11089 grad_norm: 5.0215 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6124 loss: 2.6124 2022/08/01 15:44:06 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 15:44:21 - mmengine - INFO - Epoch(train) [5][1500/1879] lr: 1.0000e-02 eta: 2 days, 23:23:03 time: 0.9293 data_time: 0.0348 memory: 11089 grad_norm: 4.8884 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5746 loss: 2.5746 2022/08/01 15:44:40 - mmengine - INFO - Epoch(train) [5][1520/1879] lr: 1.0000e-02 eta: 2 days, 23:22:41 time: 0.9368 data_time: 0.0360 memory: 11089 grad_norm: 5.0947 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.7648 loss: 2.7648 2022/08/01 15:44:59 - mmengine - INFO - Epoch(train) [5][1540/1879] lr: 1.0000e-02 eta: 2 days, 23:22:22 time: 0.9417 data_time: 0.0366 memory: 11089 grad_norm: 4.9739 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4623 loss: 2.4623 2022/08/01 15:45:18 - mmengine - INFO - Epoch(train) [5][1560/1879] lr: 1.0000e-02 eta: 2 days, 23:22:05 time: 0.9445 data_time: 0.0334 memory: 11089 grad_norm: 4.9571 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3895 loss: 2.3895 2022/08/01 15:45:36 - mmengine - INFO - Epoch(train) [5][1580/1879] lr: 1.0000e-02 eta: 2 days, 23:21:41 time: 0.9333 data_time: 0.0354 memory: 11089 grad_norm: 4.8951 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.6856 loss: 2.6856 2022/08/01 15:45:55 - mmengine - INFO - Epoch(train) [5][1600/1879] lr: 1.0000e-02 eta: 2 days, 23:21:19 time: 0.9367 data_time: 0.0333 memory: 11089 grad_norm: 4.9589 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.2843 loss: 2.2843 2022/08/01 15:46:14 - mmengine - INFO - Epoch(train) [5][1620/1879] lr: 1.0000e-02 eta: 2 days, 23:21:01 time: 0.9435 data_time: 0.0300 memory: 11089 grad_norm: 5.0057 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.5808 loss: 2.5808 2022/08/01 15:46:33 - mmengine - INFO - Epoch(train) [5][1640/1879] lr: 1.0000e-02 eta: 2 days, 23:20:41 time: 0.9385 data_time: 0.0431 memory: 11089 grad_norm: 5.0379 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2824 loss: 2.2824 2022/08/01 15:46:51 - mmengine - INFO - Epoch(train) [5][1660/1879] lr: 1.0000e-02 eta: 2 days, 23:20:13 time: 0.9267 data_time: 0.0320 memory: 11089 grad_norm: 5.0409 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4460 loss: 2.4460 2022/08/01 15:47:10 - mmengine - INFO - Epoch(train) [5][1680/1879] lr: 1.0000e-02 eta: 2 days, 23:19:47 time: 0.9310 data_time: 0.0306 memory: 11089 grad_norm: 4.9919 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5355 loss: 2.5355 2022/08/01 15:47:29 - mmengine - INFO - Epoch(train) [5][1700/1879] lr: 1.0000e-02 eta: 2 days, 23:19:25 time: 0.9364 data_time: 0.0313 memory: 11089 grad_norm: 4.9246 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2657 loss: 2.2657 2022/08/01 15:47:47 - mmengine - INFO - Epoch(train) [5][1720/1879] lr: 1.0000e-02 eta: 2 days, 23:19:00 time: 0.9302 data_time: 0.0388 memory: 11089 grad_norm: 4.9990 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.4948 loss: 2.4948 2022/08/01 15:48:06 - mmengine - INFO - Epoch(train) [5][1740/1879] lr: 1.0000e-02 eta: 2 days, 23:18:39 time: 0.9377 data_time: 0.0334 memory: 11089 grad_norm: 4.9996 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.6729 loss: 2.6729 2022/08/01 15:48:25 - mmengine - INFO - Epoch(train) [5][1760/1879] lr: 1.0000e-02 eta: 2 days, 23:18:09 time: 0.9231 data_time: 0.0311 memory: 11089 grad_norm: 4.8977 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5924 loss: 2.5924 2022/08/01 15:48:43 - mmengine - INFO - Epoch(train) [5][1780/1879] lr: 1.0000e-02 eta: 2 days, 23:17:46 time: 0.9357 data_time: 0.0308 memory: 11089 grad_norm: 5.0035 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.6514 loss: 2.6514 2022/08/01 15:49:02 - mmengine - INFO - Epoch(train) [5][1800/1879] lr: 1.0000e-02 eta: 2 days, 23:17:26 time: 0.9391 data_time: 0.0367 memory: 11089 grad_norm: 4.9861 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6229 loss: 2.6229 2022/08/01 15:49:21 - mmengine - INFO - Epoch(train) [5][1820/1879] lr: 1.0000e-02 eta: 2 days, 23:17:02 time: 0.9335 data_time: 0.0298 memory: 11089 grad_norm: 5.2008 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2753 loss: 2.2753 2022/08/01 15:49:40 - mmengine - INFO - Epoch(train) [5][1840/1879] lr: 1.0000e-02 eta: 2 days, 23:16:55 time: 0.9612 data_time: 0.0382 memory: 11089 grad_norm: 4.9606 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3981 loss: 2.3981 2022/08/01 15:49:59 - mmengine - INFO - Epoch(train) [5][1860/1879] lr: 1.0000e-02 eta: 2 days, 23:16:40 time: 0.9478 data_time: 0.0345 memory: 11089 grad_norm: 5.0527 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6062 loss: 2.6062 2022/08/01 15:50:16 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 15:50:16 - mmengine - INFO - Epoch(train) [5][1879/1879] lr: 1.0000e-02 eta: 2 days, 23:16:40 time: 0.9087 data_time: 0.0339 memory: 11089 grad_norm: 5.0398 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.4368 loss: 2.4368 2022/08/01 15:53:54 - mmengine - INFO - Epoch(val) [5][20/155] eta: 0:24:28 time: 10.8787 data_time: 10.5115 memory: 1950 2022/08/01 15:54:01 - mmengine - INFO - Epoch(val) [5][40/155] eta: 0:00:43 time: 0.3812 data_time: 0.0143 memory: 1950 2022/08/01 15:54:09 - mmengine - INFO - Epoch(val) [5][60/155] eta: 0:00:36 time: 0.3875 data_time: 0.0095 memory: 1950 2022/08/01 15:54:17 - mmengine - INFO - Epoch(val) [5][80/155] eta: 0:00:28 time: 0.3865 data_time: 0.0091 memory: 1950 2022/08/01 15:54:24 - mmengine - INFO - Epoch(val) [5][100/155] eta: 0:00:20 time: 0.3795 data_time: 0.0104 memory: 1950 2022/08/01 15:54:32 - mmengine - INFO - Epoch(val) [5][120/155] eta: 0:00:13 time: 0.3822 data_time: 0.0085 memory: 1950 2022/08/01 15:54:40 - mmengine - INFO - Epoch(val) [5][140/155] eta: 0:00:05 time: 0.3976 data_time: 0.0106 memory: 1950 2022/08/01 15:54:50 - mmengine - INFO - Epoch(val) [5][155/155] acc/top1: 0.5347 acc/top5: 0.7832 acc/mean1: 0.5346 2022/08/01 15:54:53 - mmengine - INFO - The best checkpoint with 0.5347 acc/top1 at 6 epoch is saved to best_acc/top1_epoch_6.pth. 2022/08/01 15:55:12 - mmengine - INFO - Epoch(train) [6][20/1879] lr: 1.2000e-02 eta: 2 days, 23:07:51 time: 0.9860 data_time: 0.1056 memory: 38321 grad_norm: 5.0177 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.5143 loss: 2.5143 2022/08/01 15:55:31 - mmengine - INFO - Epoch(train) [6][40/1879] lr: 1.2000e-02 eta: 2 days, 23:07:17 time: 0.9133 data_time: 0.0329 memory: 11089 grad_norm: 4.9559 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.4923 loss: 2.4923 2022/08/01 15:55:49 - mmengine - INFO - Epoch(train) [6][60/1879] lr: 1.2000e-02 eta: 2 days, 23:06:46 time: 0.9201 data_time: 0.0304 memory: 11089 grad_norm: 4.9604 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5232 loss: 2.5232 2022/08/01 15:56:07 - mmengine - INFO - Epoch(train) [6][80/1879] lr: 1.2000e-02 eta: 2 days, 23:06:16 time: 0.9193 data_time: 0.0312 memory: 11089 grad_norm: 4.9596 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3164 loss: 2.3164 2022/08/01 15:56:26 - mmengine - INFO - Epoch(train) [6][100/1879] lr: 1.2000e-02 eta: 2 days, 23:05:48 time: 0.9244 data_time: 0.0324 memory: 11089 grad_norm: 5.0401 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4450 loss: 2.4450 2022/08/01 15:56:44 - mmengine - INFO - Epoch(train) [6][120/1879] lr: 1.2000e-02 eta: 2 days, 23:05:15 time: 0.9153 data_time: 0.0265 memory: 11089 grad_norm: 4.9653 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3718 loss: 2.3718 2022/08/01 15:57:03 - mmengine - INFO - Epoch(train) [6][140/1879] lr: 1.2000e-02 eta: 2 days, 23:04:49 time: 0.9262 data_time: 0.0295 memory: 11089 grad_norm: 5.0469 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4399 loss: 2.4399 2022/08/01 15:57:22 - mmengine - INFO - Epoch(train) [6][160/1879] lr: 1.2000e-02 eta: 2 days, 23:04:31 time: 0.9410 data_time: 0.0366 memory: 11089 grad_norm: 4.9948 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4881 loss: 2.4881 2022/08/01 15:57:40 - mmengine - INFO - Epoch(train) [6][180/1879] lr: 1.2000e-02 eta: 2 days, 23:03:55 time: 0.9095 data_time: 0.0242 memory: 11089 grad_norm: 4.9781 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2700 loss: 2.2700 2022/08/01 15:57:58 - mmengine - INFO - Epoch(train) [6][200/1879] lr: 1.2000e-02 eta: 2 days, 23:03:24 time: 0.9181 data_time: 0.0311 memory: 11089 grad_norm: 4.8667 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4441 loss: 2.4441 2022/08/01 15:58:16 - mmengine - INFO - Epoch(train) [6][220/1879] lr: 1.2000e-02 eta: 2 days, 23:02:46 time: 0.9066 data_time: 0.0316 memory: 11089 grad_norm: 4.9530 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.5021 loss: 2.5021 2022/08/01 15:58:35 - mmengine - INFO - Epoch(train) [6][240/1879] lr: 1.2000e-02 eta: 2 days, 23:02:26 time: 0.9368 data_time: 0.0266 memory: 11089 grad_norm: 4.9310 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4328 loss: 2.4328 2022/08/01 15:58:53 - mmengine - INFO - Epoch(train) [6][260/1879] lr: 1.2000e-02 eta: 2 days, 23:02:00 time: 0.9273 data_time: 0.0283 memory: 11089 grad_norm: 4.9801 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 2.4370 loss: 2.4370 2022/08/01 15:59:12 - mmengine - INFO - Epoch(train) [6][280/1879] lr: 1.2000e-02 eta: 2 days, 23:01:30 time: 0.9180 data_time: 0.0307 memory: 11089 grad_norm: 4.8894 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7860 loss: 2.7860 2022/08/01 15:59:31 - mmengine - INFO - Epoch(train) [6][300/1879] lr: 1.2000e-02 eta: 2 days, 23:01:10 time: 0.9383 data_time: 0.0434 memory: 11089 grad_norm: 4.8895 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5792 loss: 2.5792 2022/08/01 15:59:49 - mmengine - INFO - Epoch(train) [6][320/1879] lr: 1.2000e-02 eta: 2 days, 23:00:45 time: 0.9277 data_time: 0.0349 memory: 11089 grad_norm: 4.9037 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3572 loss: 2.3572 2022/08/01 16:00:07 - mmengine - INFO - Epoch(train) [6][340/1879] lr: 1.2000e-02 eta: 2 days, 23:00:08 time: 0.9065 data_time: 0.0247 memory: 11089 grad_norm: 4.8948 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4994 loss: 2.4994 2022/08/01 16:00:26 - mmengine - INFO - Epoch(train) [6][360/1879] lr: 1.2000e-02 eta: 2 days, 22:59:34 time: 0.9125 data_time: 0.0250 memory: 11089 grad_norm: 4.8477 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4825 loss: 2.4825 2022/08/01 16:00:44 - mmengine - INFO - Epoch(train) [6][380/1879] lr: 1.2000e-02 eta: 2 days, 22:59:00 time: 0.9121 data_time: 0.0280 memory: 11089 grad_norm: 4.8853 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4026 loss: 2.4026 2022/08/01 16:01:02 - mmengine - INFO - Epoch(train) [6][400/1879] lr: 1.2000e-02 eta: 2 days, 22:58:22 time: 0.9057 data_time: 0.0250 memory: 11089 grad_norm: 4.9083 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.4283 loss: 2.4283 2022/08/01 16:01:20 - mmengine - INFO - Epoch(train) [6][420/1879] lr: 1.2000e-02 eta: 2 days, 22:57:55 time: 0.9231 data_time: 0.0253 memory: 11089 grad_norm: 4.8977 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4383 loss: 2.4383 2022/08/01 16:01:39 - mmengine - INFO - Epoch(train) [6][440/1879] lr: 1.2000e-02 eta: 2 days, 22:57:19 time: 0.9092 data_time: 0.0380 memory: 11089 grad_norm: 4.9598 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6902 loss: 2.6902 2022/08/01 16:01:57 - mmengine - INFO - Epoch(train) [6][460/1879] lr: 1.2000e-02 eta: 2 days, 22:56:40 time: 0.9018 data_time: 0.0260 memory: 11089 grad_norm: 4.9097 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4741 loss: 2.4741 2022/08/01 16:02:15 - mmengine - INFO - Epoch(train) [6][480/1879] lr: 1.2000e-02 eta: 2 days, 22:56:07 time: 0.9137 data_time: 0.0316 memory: 11089 grad_norm: 5.0741 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5672 loss: 2.5672 2022/08/01 16:02:33 - mmengine - INFO - Epoch(train) [6][500/1879] lr: 1.2000e-02 eta: 2 days, 22:55:37 time: 0.9188 data_time: 0.0271 memory: 11089 grad_norm: 4.9596 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3874 loss: 2.3874 2022/08/01 16:02:51 - mmengine - INFO - Epoch(train) [6][520/1879] lr: 1.2000e-02 eta: 2 days, 22:54:58 time: 0.9005 data_time: 0.0213 memory: 11089 grad_norm: 4.9301 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3935 loss: 2.3935 2022/08/01 16:03:09 - mmengine - INFO - Epoch(train) [6][540/1879] lr: 1.2000e-02 eta: 2 days, 22:54:20 time: 0.9052 data_time: 0.0234 memory: 11089 grad_norm: 4.8948 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6290 loss: 2.6290 2022/08/01 16:03:28 - mmengine - INFO - Epoch(train) [6][560/1879] lr: 1.2000e-02 eta: 2 days, 22:53:47 time: 0.9121 data_time: 0.0315 memory: 11089 grad_norm: 4.8247 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.4361 loss: 2.4361 2022/08/01 16:03:46 - mmengine - INFO - Epoch(train) [6][580/1879] lr: 1.2000e-02 eta: 2 days, 22:53:13 time: 0.9103 data_time: 0.0277 memory: 11089 grad_norm: 4.7645 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.3918 loss: 2.3918 2022/08/01 16:04:04 - mmengine - INFO - Epoch(train) [6][600/1879] lr: 1.2000e-02 eta: 2 days, 22:52:38 time: 0.9095 data_time: 0.0378 memory: 11089 grad_norm: 4.9888 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.6233 loss: 2.6233 2022/08/01 16:04:09 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 16:04:22 - mmengine - INFO - Epoch(train) [6][620/1879] lr: 1.2000e-02 eta: 2 days, 22:51:57 time: 0.8974 data_time: 0.0255 memory: 11089 grad_norm: 4.7466 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5929 loss: 2.5929 2022/08/01 16:04:40 - mmengine - INFO - Epoch(train) [6][640/1879] lr: 1.2000e-02 eta: 2 days, 22:51:20 time: 0.9052 data_time: 0.0305 memory: 11089 grad_norm: 4.8484 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.6668 loss: 2.6668 2022/08/01 16:04:58 - mmengine - INFO - Epoch(train) [6][660/1879] lr: 1.2000e-02 eta: 2 days, 22:50:50 time: 0.9174 data_time: 0.0350 memory: 11089 grad_norm: 4.8827 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2088 loss: 2.2088 2022/08/01 16:05:17 - mmengine - INFO - Epoch(train) [6][680/1879] lr: 1.2000e-02 eta: 2 days, 22:50:16 time: 0.9089 data_time: 0.0287 memory: 11089 grad_norm: 4.8593 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3052 loss: 2.3052 2022/08/01 16:05:35 - mmengine - INFO - Epoch(train) [6][700/1879] lr: 1.2000e-02 eta: 2 days, 22:49:53 time: 0.9316 data_time: 0.0335 memory: 11089 grad_norm: 4.9483 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5209 loss: 2.5209 2022/08/01 16:05:53 - mmengine - INFO - Epoch(train) [6][720/1879] lr: 1.2000e-02 eta: 2 days, 22:49:19 time: 0.9090 data_time: 0.0289 memory: 11089 grad_norm: 4.8552 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5172 loss: 2.5172 2022/08/01 16:06:12 - mmengine - INFO - Epoch(train) [6][740/1879] lr: 1.2000e-02 eta: 2 days, 22:48:46 time: 0.9133 data_time: 0.0242 memory: 11089 grad_norm: 5.0184 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6344 loss: 2.6344 2022/08/01 16:06:30 - mmengine - INFO - Epoch(train) [6][760/1879] lr: 1.2000e-02 eta: 2 days, 22:48:10 time: 0.9044 data_time: 0.0262 memory: 11089 grad_norm: 4.8565 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1068 loss: 2.1068 2022/08/01 16:06:48 - mmengine - INFO - Epoch(train) [6][780/1879] lr: 1.2000e-02 eta: 2 days, 22:47:40 time: 0.9182 data_time: 0.0297 memory: 11089 grad_norm: 4.8637 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5266 loss: 2.5266 2022/08/01 16:07:06 - mmengine - INFO - Epoch(train) [6][800/1879] lr: 1.2000e-02 eta: 2 days, 22:47:07 time: 0.9113 data_time: 0.0298 memory: 11089 grad_norm: 4.9875 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.5071 loss: 2.5071 2022/08/01 16:07:24 - mmengine - INFO - Epoch(train) [6][820/1879] lr: 1.2000e-02 eta: 2 days, 22:46:32 time: 0.9064 data_time: 0.0293 memory: 11089 grad_norm: 4.7891 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4586 loss: 2.4586 2022/08/01 16:07:43 - mmengine - INFO - Epoch(train) [6][840/1879] lr: 1.2000e-02 eta: 2 days, 22:46:00 time: 0.9147 data_time: 0.0371 memory: 11089 grad_norm: 4.8078 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4863 loss: 2.4863 2022/08/01 16:08:01 - mmengine - INFO - Epoch(train) [6][860/1879] lr: 1.2000e-02 eta: 2 days, 22:45:19 time: 0.8961 data_time: 0.0222 memory: 11089 grad_norm: 4.9258 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3041 loss: 2.3041 2022/08/01 16:08:19 - mmengine - INFO - Epoch(train) [6][880/1879] lr: 1.2000e-02 eta: 2 days, 22:44:56 time: 0.9283 data_time: 0.0293 memory: 11089 grad_norm: 4.9429 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2629 loss: 2.2629 2022/08/01 16:08:37 - mmengine - INFO - Epoch(train) [6][900/1879] lr: 1.2000e-02 eta: 2 days, 22:44:19 time: 0.9039 data_time: 0.0348 memory: 11089 grad_norm: 4.8157 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6653 loss: 2.6653 2022/08/01 16:08:55 - mmengine - INFO - Epoch(train) [6][920/1879] lr: 1.2000e-02 eta: 2 days, 22:43:40 time: 0.8994 data_time: 0.0274 memory: 11089 grad_norm: 4.8458 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6640 loss: 2.6640 2022/08/01 16:09:13 - mmengine - INFO - Epoch(train) [6][940/1879] lr: 1.2000e-02 eta: 2 days, 22:43:05 time: 0.9065 data_time: 0.0376 memory: 11089 grad_norm: 4.7982 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4386 loss: 2.4386 2022/08/01 16:09:32 - mmengine - INFO - Epoch(train) [6][960/1879] lr: 1.2000e-02 eta: 2 days, 22:42:52 time: 0.9486 data_time: 0.0420 memory: 11089 grad_norm: 4.8476 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3770 loss: 2.3770 2022/08/01 16:09:51 - mmengine - INFO - Epoch(train) [6][980/1879] lr: 1.2000e-02 eta: 2 days, 22:42:23 time: 0.9191 data_time: 0.0317 memory: 11089 grad_norm: 4.7497 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3005 loss: 2.3005 2022/08/01 16:10:09 - mmengine - INFO - Epoch(train) [6][1000/1879] lr: 1.2000e-02 eta: 2 days, 22:41:47 time: 0.9045 data_time: 0.0318 memory: 11089 grad_norm: 4.8287 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3348 loss: 2.3348 2022/08/01 16:10:27 - mmengine - INFO - Epoch(train) [6][1020/1879] lr: 1.2000e-02 eta: 2 days, 22:41:12 time: 0.9064 data_time: 0.0338 memory: 11089 grad_norm: 4.7616 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5063 loss: 2.5063 2022/08/01 16:10:45 - mmengine - INFO - Epoch(train) [6][1040/1879] lr: 1.2000e-02 eta: 2 days, 22:40:29 time: 0.8902 data_time: 0.0321 memory: 11089 grad_norm: 4.8660 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.6392 loss: 2.6392 2022/08/01 16:11:03 - mmengine - INFO - Epoch(train) [6][1060/1879] lr: 1.2000e-02 eta: 2 days, 22:40:02 time: 0.9226 data_time: 0.0272 memory: 11089 grad_norm: 4.8264 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3917 loss: 2.3917 2022/08/01 16:11:22 - mmengine - INFO - Epoch(train) [6][1080/1879] lr: 1.2000e-02 eta: 2 days, 22:39:37 time: 0.9251 data_time: 0.0330 memory: 11089 grad_norm: 4.9080 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.5472 loss: 2.5472 2022/08/01 16:11:40 - mmengine - INFO - Epoch(train) [6][1100/1879] lr: 1.2000e-02 eta: 2 days, 22:39:08 time: 0.9171 data_time: 0.0292 memory: 11089 grad_norm: 4.8535 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3967 loss: 2.3967 2022/08/01 16:11:58 - mmengine - INFO - Epoch(train) [6][1120/1879] lr: 1.2000e-02 eta: 2 days, 22:38:31 time: 0.9015 data_time: 0.0279 memory: 11089 grad_norm: 4.8092 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3150 loss: 2.3150 2022/08/01 16:12:16 - mmengine - INFO - Epoch(train) [6][1140/1879] lr: 1.2000e-02 eta: 2 days, 22:37:57 time: 0.9084 data_time: 0.0314 memory: 11089 grad_norm: 4.9153 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2949 loss: 2.2949 2022/08/01 16:12:35 - mmengine - INFO - Epoch(train) [6][1160/1879] lr: 1.2000e-02 eta: 2 days, 22:37:38 time: 0.9367 data_time: 0.0415 memory: 11089 grad_norm: 4.8111 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3756 loss: 2.3756 2022/08/01 16:12:53 - mmengine - INFO - Epoch(train) [6][1180/1879] lr: 1.2000e-02 eta: 2 days, 22:37:04 time: 0.9064 data_time: 0.0299 memory: 11089 grad_norm: 4.8762 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4751 loss: 2.4751 2022/08/01 16:13:11 - mmengine - INFO - Epoch(train) [6][1200/1879] lr: 1.2000e-02 eta: 2 days, 22:36:24 time: 0.8952 data_time: 0.0284 memory: 11089 grad_norm: 4.9259 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4190 loss: 2.4190 2022/08/01 16:13:29 - mmengine - INFO - Epoch(train) [6][1220/1879] lr: 1.2000e-02 eta: 2 days, 22:35:56 time: 0.9199 data_time: 0.0303 memory: 11089 grad_norm: 4.7170 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3736 loss: 2.3736 2022/08/01 16:13:48 - mmengine - INFO - Epoch(train) [6][1240/1879] lr: 1.2000e-02 eta: 2 days, 22:35:28 time: 0.9184 data_time: 0.0315 memory: 11089 grad_norm: 4.8714 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5024 loss: 2.5024 2022/08/01 16:14:06 - mmengine - INFO - Epoch(train) [6][1260/1879] lr: 1.2000e-02 eta: 2 days, 22:34:58 time: 0.9161 data_time: 0.0348 memory: 11089 grad_norm: 4.7147 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4759 loss: 2.4759 2022/08/01 16:14:24 - mmengine - INFO - Epoch(train) [6][1280/1879] lr: 1.2000e-02 eta: 2 days, 22:34:24 time: 0.9067 data_time: 0.0291 memory: 11089 grad_norm: 4.8057 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2115 loss: 2.2115 2022/08/01 16:14:42 - mmengine - INFO - Epoch(train) [6][1300/1879] lr: 1.2000e-02 eta: 2 days, 22:33:50 time: 0.9061 data_time: 0.0289 memory: 11089 grad_norm: 4.9459 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5783 loss: 2.5783 2022/08/01 16:15:01 - mmengine - INFO - Epoch(train) [6][1320/1879] lr: 1.2000e-02 eta: 2 days, 22:33:27 time: 0.9278 data_time: 0.0316 memory: 11089 grad_norm: 4.7886 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 2.5167 loss: 2.5167 2022/08/01 16:15:19 - mmengine - INFO - Epoch(train) [6][1340/1879] lr: 1.2000e-02 eta: 2 days, 22:32:54 time: 0.9103 data_time: 0.0302 memory: 11089 grad_norm: 4.7313 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.6012 loss: 2.6012 2022/08/01 16:15:37 - mmengine - INFO - Epoch(train) [6][1360/1879] lr: 1.2000e-02 eta: 2 days, 22:32:24 time: 0.9125 data_time: 0.0262 memory: 11089 grad_norm: 4.7631 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4424 loss: 2.4424 2022/08/01 16:15:56 - mmengine - INFO - Epoch(train) [6][1380/1879] lr: 1.2000e-02 eta: 2 days, 22:32:06 time: 0.9401 data_time: 0.0342 memory: 11089 grad_norm: 4.8524 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4030 loss: 2.4030 2022/08/01 16:16:15 - mmengine - INFO - Epoch(train) [6][1400/1879] lr: 1.2000e-02 eta: 2 days, 22:31:36 time: 0.9131 data_time: 0.0348 memory: 11089 grad_norm: 4.8813 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4691 loss: 2.4691 2022/08/01 16:16:33 - mmengine - INFO - Epoch(train) [6][1420/1879] lr: 1.2000e-02 eta: 2 days, 22:31:05 time: 0.9130 data_time: 0.0306 memory: 11089 grad_norm: 4.7944 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.5232 loss: 2.5232 2022/08/01 16:16:51 - mmengine - INFO - Epoch(train) [6][1440/1879] lr: 1.2000e-02 eta: 2 days, 22:30:31 time: 0.9049 data_time: 0.0319 memory: 11089 grad_norm: 4.7314 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.3270 loss: 2.3270 2022/08/01 16:17:09 - mmengine - INFO - Epoch(train) [6][1460/1879] lr: 1.2000e-02 eta: 2 days, 22:29:58 time: 0.9097 data_time: 0.0324 memory: 11089 grad_norm: 4.8296 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.3117 loss: 2.3117 2022/08/01 16:17:28 - mmengine - INFO - Epoch(train) [6][1480/1879] lr: 1.2000e-02 eta: 2 days, 22:29:33 time: 0.9241 data_time: 0.0349 memory: 11089 grad_norm: 4.9147 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2793 loss: 2.2793 2022/08/01 16:17:46 - mmengine - INFO - Epoch(train) [6][1500/1879] lr: 1.2000e-02 eta: 2 days, 22:29:02 time: 0.9116 data_time: 0.0329 memory: 11089 grad_norm: 4.9005 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6445 loss: 2.6445 2022/08/01 16:18:04 - mmengine - INFO - Epoch(train) [6][1520/1879] lr: 1.2000e-02 eta: 2 days, 22:28:36 time: 0.9220 data_time: 0.0281 memory: 11089 grad_norm: 4.8233 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3270 loss: 2.3270 2022/08/01 16:18:23 - mmengine - INFO - Epoch(train) [6][1540/1879] lr: 1.2000e-02 eta: 2 days, 22:28:10 time: 0.9201 data_time: 0.0280 memory: 11089 grad_norm: 4.7170 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3672 loss: 2.3672 2022/08/01 16:18:41 - mmengine - INFO - Epoch(train) [6][1560/1879] lr: 1.2000e-02 eta: 2 days, 22:27:47 time: 0.9290 data_time: 0.0337 memory: 11089 grad_norm: 4.7566 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5214 loss: 2.5214 2022/08/01 16:18:59 - mmengine - INFO - Epoch(train) [6][1580/1879] lr: 1.2000e-02 eta: 2 days, 22:27:16 time: 0.9121 data_time: 0.0237 memory: 11089 grad_norm: 4.9464 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.2616 loss: 2.2616 2022/08/01 16:19:18 - mmengine - INFO - Epoch(train) [6][1600/1879] lr: 1.2000e-02 eta: 2 days, 22:26:48 time: 0.9160 data_time: 0.0316 memory: 11089 grad_norm: 4.9186 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4891 loss: 2.4891 2022/08/01 16:19:23 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 16:19:36 - mmengine - INFO - Epoch(train) [6][1620/1879] lr: 1.2000e-02 eta: 2 days, 22:26:24 time: 0.9271 data_time: 0.0299 memory: 11089 grad_norm: 4.7049 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5054 loss: 2.5054 2022/08/01 16:19:55 - mmengine - INFO - Epoch(train) [6][1640/1879] lr: 1.2000e-02 eta: 2 days, 22:26:00 time: 0.9249 data_time: 0.0328 memory: 11089 grad_norm: 4.7714 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4645 loss: 2.4645 2022/08/01 16:20:13 - mmengine - INFO - Epoch(train) [6][1660/1879] lr: 1.2000e-02 eta: 2 days, 22:25:31 time: 0.9157 data_time: 0.0300 memory: 11089 grad_norm: 4.8150 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3689 loss: 2.3689 2022/08/01 16:20:31 - mmengine - INFO - Epoch(train) [6][1680/1879] lr: 1.2000e-02 eta: 2 days, 22:24:57 time: 0.9039 data_time: 0.0289 memory: 11089 grad_norm: 4.6650 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5416 loss: 2.5416 2022/08/01 16:20:49 - mmengine - INFO - Epoch(train) [6][1700/1879] lr: 1.2000e-02 eta: 2 days, 22:24:22 time: 0.9037 data_time: 0.0303 memory: 11089 grad_norm: 4.7986 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.6568 loss: 2.6568 2022/08/01 16:21:08 - mmengine - INFO - Epoch(train) [6][1720/1879] lr: 1.2000e-02 eta: 2 days, 22:24:00 time: 0.9297 data_time: 0.0258 memory: 11089 grad_norm: 4.8926 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4887 loss: 2.4887 2022/08/01 16:21:26 - mmengine - INFO - Epoch(train) [6][1740/1879] lr: 1.2000e-02 eta: 2 days, 22:23:38 time: 0.9290 data_time: 0.0328 memory: 11089 grad_norm: 4.8464 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5874 loss: 2.5874 2022/08/01 16:21:45 - mmengine - INFO - Epoch(train) [6][1760/1879] lr: 1.2000e-02 eta: 2 days, 22:23:22 time: 0.9421 data_time: 0.0364 memory: 11089 grad_norm: 4.7616 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6465 loss: 2.6465 2022/08/01 16:22:04 - mmengine - INFO - Epoch(train) [6][1780/1879] lr: 1.2000e-02 eta: 2 days, 22:23:01 time: 0.9314 data_time: 0.0317 memory: 11089 grad_norm: 4.7484 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5055 loss: 2.5055 2022/08/01 16:22:22 - mmengine - INFO - Epoch(train) [6][1800/1879] lr: 1.2000e-02 eta: 2 days, 22:22:26 time: 0.9020 data_time: 0.0329 memory: 11089 grad_norm: 4.7507 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4647 loss: 2.4647 2022/08/01 16:22:40 - mmengine - INFO - Epoch(train) [6][1820/1879] lr: 1.2000e-02 eta: 2 days, 22:21:53 time: 0.9070 data_time: 0.0314 memory: 11089 grad_norm: 4.8040 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5538 loss: 2.5538 2022/08/01 16:22:58 - mmengine - INFO - Epoch(train) [6][1840/1879] lr: 1.2000e-02 eta: 2 days, 22:21:26 time: 0.9177 data_time: 0.0348 memory: 11089 grad_norm: 4.7635 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.4913 loss: 2.4913 2022/08/01 16:23:18 - mmengine - INFO - Epoch(train) [6][1860/1879] lr: 1.2000e-02 eta: 2 days, 22:21:16 time: 0.9556 data_time: 0.0408 memory: 11089 grad_norm: 4.8525 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3841 loss: 2.3841 2022/08/01 16:23:35 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 16:23:35 - mmengine - INFO - Epoch(train) [6][1879/1879] lr: 1.2000e-02 eta: 2 days, 22:21:16 time: 0.9309 data_time: 0.0242 memory: 11089 grad_norm: 4.8637 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.3713 loss: 2.3713 2022/08/01 16:23:55 - mmengine - INFO - Epoch(train) [7][20/1879] lr: 1.4000e-02 eta: 2 days, 22:13:49 time: 0.9679 data_time: 0.1148 memory: 11089 grad_norm: 4.7791 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3653 loss: 2.3653 2022/08/01 16:24:13 - mmengine - INFO - Epoch(train) [7][40/1879] lr: 1.4000e-02 eta: 2 days, 22:13:19 time: 0.9110 data_time: 0.0330 memory: 11089 grad_norm: 4.7890 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.2921 loss: 2.2921 2022/08/01 16:24:31 - mmengine - INFO - Epoch(train) [7][60/1879] lr: 1.4000e-02 eta: 2 days, 22:12:52 time: 0.9168 data_time: 0.0322 memory: 11089 grad_norm: 4.6749 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6523 loss: 2.6523 2022/08/01 16:24:50 - mmengine - INFO - Epoch(train) [7][80/1879] lr: 1.4000e-02 eta: 2 days, 22:12:23 time: 0.9129 data_time: 0.0306 memory: 11089 grad_norm: 4.7781 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4247 loss: 2.4247 2022/08/01 16:25:08 - mmengine - INFO - Epoch(train) [7][100/1879] lr: 1.4000e-02 eta: 2 days, 22:12:03 time: 0.9310 data_time: 0.0249 memory: 11089 grad_norm: 4.7916 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6107 loss: 2.6107 2022/08/01 16:25:27 - mmengine - INFO - Epoch(train) [7][120/1879] lr: 1.4000e-02 eta: 2 days, 22:11:34 time: 0.9134 data_time: 0.0252 memory: 11089 grad_norm: 4.5988 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3269 loss: 2.3269 2022/08/01 16:25:45 - mmengine - INFO - Epoch(train) [7][140/1879] lr: 1.4000e-02 eta: 2 days, 22:11:11 time: 0.9241 data_time: 0.0363 memory: 11089 grad_norm: 4.7954 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4419 loss: 2.4419 2022/08/01 16:26:03 - mmengine - INFO - Epoch(train) [7][160/1879] lr: 1.4000e-02 eta: 2 days, 22:10:44 time: 0.9169 data_time: 0.0274 memory: 11089 grad_norm: 4.7402 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2227 loss: 2.2227 2022/08/01 16:26:21 - mmengine - INFO - Epoch(train) [7][180/1879] lr: 1.4000e-02 eta: 2 days, 22:10:12 time: 0.9059 data_time: 0.0250 memory: 11089 grad_norm: 4.6957 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5757 loss: 2.5757 2022/08/01 16:26:40 - mmengine - INFO - Epoch(train) [7][200/1879] lr: 1.4000e-02 eta: 2 days, 22:09:52 time: 0.9328 data_time: 0.0320 memory: 11089 grad_norm: 4.7455 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3110 loss: 2.3110 2022/08/01 16:26:59 - mmengine - INFO - Epoch(train) [7][220/1879] lr: 1.4000e-02 eta: 2 days, 22:09:30 time: 0.9252 data_time: 0.0409 memory: 11089 grad_norm: 4.6951 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4956 loss: 2.4956 2022/08/01 16:27:17 - mmengine - INFO - Epoch(train) [7][240/1879] lr: 1.4000e-02 eta: 2 days, 22:09:02 time: 0.9144 data_time: 0.0291 memory: 11089 grad_norm: 4.7569 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4952 loss: 2.4952 2022/08/01 16:27:35 - mmengine - INFO - Epoch(train) [7][260/1879] lr: 1.4000e-02 eta: 2 days, 22:08:34 time: 0.9162 data_time: 0.0302 memory: 11089 grad_norm: 4.7465 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5290 loss: 2.5290 2022/08/01 16:27:53 - mmengine - INFO - Epoch(train) [7][280/1879] lr: 1.4000e-02 eta: 2 days, 22:08:02 time: 0.9057 data_time: 0.0315 memory: 11089 grad_norm: 4.5323 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3549 loss: 2.3549 2022/08/01 16:28:12 - mmengine - INFO - Epoch(train) [7][300/1879] lr: 1.4000e-02 eta: 2 days, 22:07:34 time: 0.9130 data_time: 0.0300 memory: 11089 grad_norm: 4.7966 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.3017 loss: 2.3017 2022/08/01 16:28:30 - mmengine - INFO - Epoch(train) [7][320/1879] lr: 1.4000e-02 eta: 2 days, 22:07:03 time: 0.9077 data_time: 0.0253 memory: 11089 grad_norm: 4.8325 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1838 loss: 2.1838 2022/08/01 16:28:48 - mmengine - INFO - Epoch(train) [7][340/1879] lr: 1.4000e-02 eta: 2 days, 22:06:33 time: 0.9097 data_time: 0.0348 memory: 11089 grad_norm: 4.7633 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1998 loss: 2.1998 2022/08/01 16:29:06 - mmengine - INFO - Epoch(train) [7][360/1879] lr: 1.4000e-02 eta: 2 days, 22:06:05 time: 0.9150 data_time: 0.0329 memory: 11089 grad_norm: 4.7109 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4812 loss: 2.4812 2022/08/01 16:29:24 - mmengine - INFO - Epoch(train) [7][380/1879] lr: 1.4000e-02 eta: 2 days, 22:05:35 time: 0.9093 data_time: 0.0295 memory: 11089 grad_norm: 4.7017 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3993 loss: 2.3993 2022/08/01 16:29:43 - mmengine - INFO - Epoch(train) [7][400/1879] lr: 1.4000e-02 eta: 2 days, 22:05:04 time: 0.9076 data_time: 0.0309 memory: 11089 grad_norm: 4.7220 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5335 loss: 2.5335 2022/08/01 16:30:01 - mmengine - INFO - Epoch(train) [7][420/1879] lr: 1.4000e-02 eta: 2 days, 22:04:34 time: 0.9076 data_time: 0.0239 memory: 11089 grad_norm: 4.7120 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5800 loss: 2.5800 2022/08/01 16:30:19 - mmengine - INFO - Epoch(train) [7][440/1879] lr: 1.4000e-02 eta: 2 days, 22:04:09 time: 0.9208 data_time: 0.0365 memory: 11089 grad_norm: 4.6866 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3360 loss: 2.3360 2022/08/01 16:30:38 - mmengine - INFO - Epoch(train) [7][460/1879] lr: 1.4000e-02 eta: 2 days, 22:03:50 time: 0.9329 data_time: 0.0400 memory: 11089 grad_norm: 4.6709 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3708 loss: 2.3708 2022/08/01 16:30:56 - mmengine - INFO - Epoch(train) [7][480/1879] lr: 1.4000e-02 eta: 2 days, 22:03:25 time: 0.9194 data_time: 0.0291 memory: 11089 grad_norm: 4.7213 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5270 loss: 2.5270 2022/08/01 16:31:15 - mmengine - INFO - Epoch(train) [7][500/1879] lr: 1.4000e-02 eta: 2 days, 22:03:04 time: 0.9292 data_time: 0.0380 memory: 11089 grad_norm: 4.7017 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5712 loss: 2.5712 2022/08/01 16:31:34 - mmengine - INFO - Epoch(train) [7][520/1879] lr: 1.4000e-02 eta: 2 days, 22:02:47 time: 0.9381 data_time: 0.0314 memory: 11089 grad_norm: 4.6190 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5171 loss: 2.5171 2022/08/01 16:31:52 - mmengine - INFO - Epoch(train) [7][540/1879] lr: 1.4000e-02 eta: 2 days, 22:02:26 time: 0.9275 data_time: 0.0328 memory: 11089 grad_norm: 4.6759 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.5138 loss: 2.5138 2022/08/01 16:32:10 - mmengine - INFO - Epoch(train) [7][560/1879] lr: 1.4000e-02 eta: 2 days, 22:01:51 time: 0.8988 data_time: 0.0276 memory: 11089 grad_norm: 4.7668 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.5528 loss: 2.5528 2022/08/01 16:32:28 - mmengine - INFO - Epoch(train) [7][580/1879] lr: 1.4000e-02 eta: 2 days, 22:01:17 time: 0.9001 data_time: 0.0239 memory: 11089 grad_norm: 4.5425 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.3209 loss: 2.3209 2022/08/01 16:32:47 - mmengine - INFO - Epoch(train) [7][600/1879] lr: 1.4000e-02 eta: 2 days, 22:00:56 time: 0.9277 data_time: 0.0314 memory: 11089 grad_norm: 4.7365 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6834 loss: 2.6834 2022/08/01 16:33:05 - mmengine - INFO - Epoch(train) [7][620/1879] lr: 1.4000e-02 eta: 2 days, 22:00:21 time: 0.8980 data_time: 0.0234 memory: 11089 grad_norm: 4.6908 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4498 loss: 2.4498 2022/08/01 16:33:23 - mmengine - INFO - Epoch(train) [7][640/1879] lr: 1.4000e-02 eta: 2 days, 21:59:50 time: 0.9066 data_time: 0.0287 memory: 11089 grad_norm: 4.5445 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4063 loss: 2.4063 2022/08/01 16:33:41 - mmengine - INFO - Epoch(train) [7][660/1879] lr: 1.4000e-02 eta: 2 days, 21:59:28 time: 0.9260 data_time: 0.0314 memory: 11089 grad_norm: 4.6003 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4793 loss: 2.4793 2022/08/01 16:34:00 - mmengine - INFO - Epoch(train) [7][680/1879] lr: 1.4000e-02 eta: 2 days, 21:59:04 time: 0.9230 data_time: 0.0348 memory: 11089 grad_norm: 4.6945 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5948 loss: 2.5948 2022/08/01 16:34:18 - mmengine - INFO - Epoch(train) [7][700/1879] lr: 1.4000e-02 eta: 2 days, 21:58:29 time: 0.8962 data_time: 0.0245 memory: 11089 grad_norm: 4.6910 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.3979 loss: 2.3979 2022/08/01 16:34:36 - mmengine - INFO - Epoch(train) [7][720/1879] lr: 1.4000e-02 eta: 2 days, 21:58:09 time: 0.9299 data_time: 0.0311 memory: 11089 grad_norm: 4.5800 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2604 loss: 2.2604 2022/08/01 16:34:42 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 16:34:54 - mmengine - INFO - Epoch(train) [7][740/1879] lr: 1.4000e-02 eta: 2 days, 21:57:40 time: 0.9101 data_time: 0.0285 memory: 11089 grad_norm: 4.7332 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.6335 loss: 2.6335 2022/08/01 16:35:13 - mmengine - INFO - Epoch(train) [7][760/1879] lr: 1.4000e-02 eta: 2 days, 21:57:10 time: 0.9098 data_time: 0.0305 memory: 11089 grad_norm: 4.5951 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.4376 loss: 2.4376 2022/08/01 16:35:31 - mmengine - INFO - Epoch(train) [7][780/1879] lr: 1.4000e-02 eta: 2 days, 21:56:39 time: 0.9063 data_time: 0.0281 memory: 11089 grad_norm: 4.7839 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5467 loss: 2.5467 2022/08/01 16:35:50 - mmengine - INFO - Epoch(train) [7][800/1879] lr: 1.4000e-02 eta: 2 days, 21:56:24 time: 0.9414 data_time: 0.0347 memory: 11089 grad_norm: 4.6705 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.3836 loss: 2.3836 2022/08/01 16:36:08 - mmengine - INFO - Epoch(train) [7][820/1879] lr: 1.4000e-02 eta: 2 days, 21:56:09 time: 0.9413 data_time: 0.0396 memory: 11089 grad_norm: 4.7053 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.6169 loss: 2.6169 2022/08/01 16:36:27 - mmengine - INFO - Epoch(train) [7][840/1879] lr: 1.4000e-02 eta: 2 days, 21:55:46 time: 0.9217 data_time: 0.0386 memory: 11089 grad_norm: 4.7648 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1823 loss: 2.1823 2022/08/01 16:36:45 - mmengine - INFO - Epoch(train) [7][860/1879] lr: 1.4000e-02 eta: 2 days, 21:55:18 time: 0.9124 data_time: 0.0333 memory: 11089 grad_norm: 4.5284 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4823 loss: 2.4823 2022/08/01 16:37:04 - mmengine - INFO - Epoch(train) [7][880/1879] lr: 1.4000e-02 eta: 2 days, 21:54:57 time: 0.9289 data_time: 0.0325 memory: 11089 grad_norm: 4.6161 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1967 loss: 2.1967 2022/08/01 16:37:22 - mmengine - INFO - Epoch(train) [7][900/1879] lr: 1.4000e-02 eta: 2 days, 21:54:28 time: 0.9105 data_time: 0.0294 memory: 11089 grad_norm: 4.6701 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1788 loss: 2.1788 2022/08/01 16:37:41 - mmengine - INFO - Epoch(train) [7][920/1879] lr: 1.4000e-02 eta: 2 days, 21:54:14 time: 0.9424 data_time: 0.0348 memory: 11089 grad_norm: 4.6303 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3484 loss: 2.3484 2022/08/01 16:38:00 - mmengine - INFO - Epoch(train) [7][940/1879] lr: 1.4000e-02 eta: 2 days, 21:54:01 time: 0.9467 data_time: 0.0409 memory: 11089 grad_norm: 4.5843 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3882 loss: 2.3882 2022/08/01 16:38:18 - mmengine - INFO - Epoch(train) [7][960/1879] lr: 1.4000e-02 eta: 2 days, 21:53:39 time: 0.9269 data_time: 0.0338 memory: 11089 grad_norm: 4.7339 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6783 loss: 2.6783 2022/08/01 16:38:36 - mmengine - INFO - Epoch(train) [7][980/1879] lr: 1.4000e-02 eta: 2 days, 21:53:11 time: 0.9107 data_time: 0.0293 memory: 11089 grad_norm: 4.7079 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6898 loss: 2.6898 2022/08/01 16:38:55 - mmengine - INFO - Epoch(train) [7][1000/1879] lr: 1.4000e-02 eta: 2 days, 21:52:48 time: 0.9245 data_time: 0.0286 memory: 11089 grad_norm: 4.6891 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6413 loss: 2.6413 2022/08/01 16:39:13 - mmengine - INFO - Epoch(train) [7][1020/1879] lr: 1.4000e-02 eta: 2 days, 21:52:21 time: 0.9136 data_time: 0.0260 memory: 11089 grad_norm: 4.6238 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4956 loss: 2.4956 2022/08/01 16:39:31 - mmengine - INFO - Epoch(train) [7][1040/1879] lr: 1.4000e-02 eta: 2 days, 21:51:49 time: 0.9021 data_time: 0.0262 memory: 11089 grad_norm: 4.6805 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.4677 loss: 2.4677 2022/08/01 16:39:49 - mmengine - INFO - Epoch(train) [7][1060/1879] lr: 1.4000e-02 eta: 2 days, 21:51:17 time: 0.9032 data_time: 0.0277 memory: 11089 grad_norm: 4.6538 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.4528 loss: 2.4528 2022/08/01 16:40:07 - mmengine - INFO - Epoch(train) [7][1080/1879] lr: 1.4000e-02 eta: 2 days, 21:50:46 time: 0.9052 data_time: 0.0309 memory: 11089 grad_norm: 4.6167 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4777 loss: 2.4777 2022/08/01 16:40:26 - mmengine - INFO - Epoch(train) [7][1100/1879] lr: 1.4000e-02 eta: 2 days, 21:50:20 time: 0.9161 data_time: 0.0316 memory: 11089 grad_norm: 4.6874 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.3810 loss: 2.3810 2022/08/01 16:40:44 - mmengine - INFO - Epoch(train) [7][1120/1879] lr: 1.4000e-02 eta: 2 days, 21:49:58 time: 0.9251 data_time: 0.0327 memory: 11089 grad_norm: 4.5954 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2952 loss: 2.2952 2022/08/01 16:41:02 - mmengine - INFO - Epoch(train) [7][1140/1879] lr: 1.4000e-02 eta: 2 days, 21:49:25 time: 0.8988 data_time: 0.0272 memory: 11089 grad_norm: 4.7037 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4271 loss: 2.4271 2022/08/01 16:41:20 - mmengine - INFO - Epoch(train) [7][1160/1879] lr: 1.4000e-02 eta: 2 days, 21:48:58 time: 0.9142 data_time: 0.0377 memory: 11089 grad_norm: 4.6278 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2647 loss: 2.2647 2022/08/01 16:41:39 - mmengine - INFO - Epoch(train) [7][1180/1879] lr: 1.4000e-02 eta: 2 days, 21:48:26 time: 0.9014 data_time: 0.0265 memory: 11089 grad_norm: 4.5591 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5260 loss: 2.5260 2022/08/01 16:41:57 - mmengine - INFO - Epoch(train) [7][1200/1879] lr: 1.4000e-02 eta: 2 days, 21:48:06 time: 0.9299 data_time: 0.0310 memory: 11089 grad_norm: 4.6261 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4502 loss: 2.4502 2022/08/01 16:42:16 - mmengine - INFO - Epoch(train) [7][1220/1879] lr: 1.4000e-02 eta: 2 days, 21:47:42 time: 0.9207 data_time: 0.0267 memory: 11089 grad_norm: 4.7284 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2918 loss: 2.2918 2022/08/01 16:42:34 - mmengine - INFO - Epoch(train) [7][1240/1879] lr: 1.4000e-02 eta: 2 days, 21:47:17 time: 0.9177 data_time: 0.0268 memory: 11089 grad_norm: 4.7795 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4260 loss: 2.4260 2022/08/01 16:42:52 - mmengine - INFO - Epoch(train) [7][1260/1879] lr: 1.4000e-02 eta: 2 days, 21:46:45 time: 0.9034 data_time: 0.0222 memory: 11089 grad_norm: 4.7074 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5094 loss: 2.5094 2022/08/01 16:43:10 - mmengine - INFO - Epoch(train) [7][1280/1879] lr: 1.4000e-02 eta: 2 days, 21:46:21 time: 0.9203 data_time: 0.0371 memory: 11089 grad_norm: 4.6643 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4273 loss: 2.4273 2022/08/01 16:43:29 - mmengine - INFO - Epoch(train) [7][1300/1879] lr: 1.4000e-02 eta: 2 days, 21:45:52 time: 0.9087 data_time: 0.0274 memory: 11089 grad_norm: 4.6087 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2508 loss: 2.2508 2022/08/01 16:43:47 - mmengine - INFO - Epoch(train) [7][1320/1879] lr: 1.4000e-02 eta: 2 days, 21:45:33 time: 0.9311 data_time: 0.0304 memory: 11089 grad_norm: 4.5129 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4793 loss: 2.4793 2022/08/01 16:44:05 - mmengine - INFO - Epoch(train) [7][1340/1879] lr: 1.4000e-02 eta: 2 days, 21:45:02 time: 0.9042 data_time: 0.0275 memory: 11089 grad_norm: 4.6019 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3051 loss: 2.3051 2022/08/01 16:44:24 - mmengine - INFO - Epoch(train) [7][1360/1879] lr: 1.4000e-02 eta: 2 days, 21:44:43 time: 0.9318 data_time: 0.0367 memory: 11089 grad_norm: 4.6257 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4125 loss: 2.4125 2022/08/01 16:44:42 - mmengine - INFO - Epoch(train) [7][1380/1879] lr: 1.4000e-02 eta: 2 days, 21:44:19 time: 0.9200 data_time: 0.0286 memory: 11089 grad_norm: 4.5596 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3489 loss: 2.3489 2022/08/01 16:45:01 - mmengine - INFO - Epoch(train) [7][1400/1879] lr: 1.4000e-02 eta: 2 days, 21:43:52 time: 0.9116 data_time: 0.0364 memory: 11089 grad_norm: 4.5943 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.4255 loss: 2.4255 2022/08/01 16:45:19 - mmengine - INFO - Epoch(train) [7][1420/1879] lr: 1.4000e-02 eta: 2 days, 21:43:26 time: 0.9162 data_time: 0.0270 memory: 11089 grad_norm: 4.5009 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3702 loss: 2.3702 2022/08/01 16:45:37 - mmengine - INFO - Epoch(train) [7][1440/1879] lr: 1.4000e-02 eta: 2 days, 21:43:07 time: 0.9325 data_time: 0.0351 memory: 11089 grad_norm: 4.5438 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.4620 loss: 2.4620 2022/08/01 16:45:56 - mmengine - INFO - Epoch(train) [7][1460/1879] lr: 1.4000e-02 eta: 2 days, 21:42:38 time: 0.9069 data_time: 0.0301 memory: 11089 grad_norm: 4.5428 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3896 loss: 2.3896 2022/08/01 16:46:14 - mmengine - INFO - Epoch(train) [7][1480/1879] lr: 1.4000e-02 eta: 2 days, 21:42:10 time: 0.9103 data_time: 0.0295 memory: 11089 grad_norm: 4.5434 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2514 loss: 2.2514 2022/08/01 16:46:32 - mmengine - INFO - Epoch(train) [7][1500/1879] lr: 1.4000e-02 eta: 2 days, 21:41:45 time: 0.9169 data_time: 0.0276 memory: 11089 grad_norm: 4.6992 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7114 loss: 2.7114 2022/08/01 16:46:51 - mmengine - INFO - Epoch(train) [7][1520/1879] lr: 1.4000e-02 eta: 2 days, 21:41:20 time: 0.9176 data_time: 0.0322 memory: 11089 grad_norm: 4.6196 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.3571 loss: 2.3571 2022/08/01 16:47:09 - mmengine - INFO - Epoch(train) [7][1540/1879] lr: 1.4000e-02 eta: 2 days, 21:40:53 time: 0.9121 data_time: 0.0335 memory: 11089 grad_norm: 4.6175 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.5029 loss: 2.5029 2022/08/01 16:47:27 - mmengine - INFO - Epoch(train) [7][1560/1879] lr: 1.4000e-02 eta: 2 days, 21:40:29 time: 0.9211 data_time: 0.0295 memory: 11089 grad_norm: 4.5050 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.3801 loss: 2.3801 2022/08/01 16:47:45 - mmengine - INFO - Epoch(train) [7][1580/1879] lr: 1.4000e-02 eta: 2 days, 21:39:58 time: 0.9028 data_time: 0.0290 memory: 11089 grad_norm: 4.4284 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.5105 loss: 2.5105 2022/08/01 16:48:04 - mmengine - INFO - Epoch(train) [7][1600/1879] lr: 1.4000e-02 eta: 2 days, 21:39:42 time: 0.9382 data_time: 0.0348 memory: 11089 grad_norm: 4.5523 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3622 loss: 2.3622 2022/08/01 16:48:22 - mmengine - INFO - Epoch(train) [7][1620/1879] lr: 1.4000e-02 eta: 2 days, 21:39:12 time: 0.9053 data_time: 0.0295 memory: 11089 grad_norm: 4.5977 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3154 loss: 2.3154 2022/08/01 16:48:40 - mmengine - INFO - Epoch(train) [7][1640/1879] lr: 1.4000e-02 eta: 2 days, 21:38:47 time: 0.9162 data_time: 0.0304 memory: 11089 grad_norm: 4.7300 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.3304 loss: 2.3304 2022/08/01 16:48:59 - mmengine - INFO - Epoch(train) [7][1660/1879] lr: 1.4000e-02 eta: 2 days, 21:38:28 time: 0.9321 data_time: 0.0367 memory: 11089 grad_norm: 4.6355 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3616 loss: 2.3616 2022/08/01 16:49:17 - mmengine - INFO - Epoch(train) [7][1680/1879] lr: 1.4000e-02 eta: 2 days, 21:38:03 time: 0.9161 data_time: 0.0263 memory: 11089 grad_norm: 4.6121 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.3914 loss: 2.3914 2022/08/01 16:49:36 - mmengine - INFO - Epoch(train) [7][1700/1879] lr: 1.4000e-02 eta: 2 days, 21:37:39 time: 0.9212 data_time: 0.0315 memory: 11089 grad_norm: 4.5792 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5021 loss: 2.5021 2022/08/01 16:49:54 - mmengine - INFO - Epoch(train) [7][1720/1879] lr: 1.4000e-02 eta: 2 days, 21:37:16 time: 0.9220 data_time: 0.0310 memory: 11089 grad_norm: 4.5816 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4406 loss: 2.4406 2022/08/01 16:50:00 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 16:50:13 - mmengine - INFO - Epoch(train) [7][1740/1879] lr: 1.4000e-02 eta: 2 days, 21:36:55 time: 0.9261 data_time: 0.0305 memory: 11089 grad_norm: 4.5796 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5580 loss: 2.5580 2022/08/01 16:50:31 - mmengine - INFO - Epoch(train) [7][1760/1879] lr: 1.4000e-02 eta: 2 days, 21:36:25 time: 0.9053 data_time: 0.0263 memory: 11089 grad_norm: 4.4804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4362 loss: 2.4362 2022/08/01 16:50:49 - mmengine - INFO - Epoch(train) [7][1780/1879] lr: 1.4000e-02 eta: 2 days, 21:35:58 time: 0.9097 data_time: 0.0248 memory: 11089 grad_norm: 4.6548 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3222 loss: 2.3222 2022/08/01 16:51:07 - mmengine - INFO - Epoch(train) [7][1800/1879] lr: 1.4000e-02 eta: 2 days, 21:35:31 time: 0.9131 data_time: 0.0348 memory: 11089 grad_norm: 4.5363 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.3495 loss: 2.3495 2022/08/01 16:51:26 - mmengine - INFO - Epoch(train) [7][1820/1879] lr: 1.4000e-02 eta: 2 days, 21:35:13 time: 0.9325 data_time: 0.0342 memory: 11089 grad_norm: 4.5907 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3824 loss: 2.3824 2022/08/01 16:51:44 - mmengine - INFO - Epoch(train) [7][1840/1879] lr: 1.4000e-02 eta: 2 days, 21:34:42 time: 0.9037 data_time: 0.0282 memory: 11089 grad_norm: 4.5506 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3900 loss: 2.3900 2022/08/01 16:52:03 - mmengine - INFO - Epoch(train) [7][1860/1879] lr: 1.4000e-02 eta: 2 days, 21:34:24 time: 0.9327 data_time: 0.0302 memory: 11089 grad_norm: 4.4633 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4294 loss: 2.4294 2022/08/01 16:52:20 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 16:52:20 - mmengine - INFO - Epoch(train) [7][1879/1879] lr: 1.4000e-02 eta: 2 days, 21:34:24 time: 0.9126 data_time: 0.0389 memory: 11089 grad_norm: 4.5787 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.3220 loss: 2.3220 2022/08/01 16:52:41 - mmengine - INFO - Epoch(train) [8][20/1879] lr: 1.6000e-02 eta: 2 days, 21:28:25 time: 1.0257 data_time: 0.1142 memory: 11089 grad_norm: 4.5652 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3407 loss: 2.3407 2022/08/01 16:52:59 - mmengine - INFO - Epoch(train) [8][40/1879] lr: 1.6000e-02 eta: 2 days, 21:27:55 time: 0.9040 data_time: 0.0285 memory: 11089 grad_norm: 4.5517 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1582 loss: 2.1582 2022/08/01 16:53:17 - mmengine - INFO - Epoch(train) [8][60/1879] lr: 1.6000e-02 eta: 2 days, 21:27:30 time: 0.9160 data_time: 0.0282 memory: 11089 grad_norm: 4.5270 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2741 loss: 2.2741 2022/08/01 16:53:35 - mmengine - INFO - Epoch(train) [8][80/1879] lr: 1.6000e-02 eta: 2 days, 21:27:04 time: 0.9122 data_time: 0.0323 memory: 11089 grad_norm: 4.6175 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3859 loss: 2.3859 2022/08/01 16:53:54 - mmengine - INFO - Epoch(train) [8][100/1879] lr: 1.6000e-02 eta: 2 days, 21:26:40 time: 0.9161 data_time: 0.0256 memory: 11089 grad_norm: 4.6385 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3982 loss: 2.3982 2022/08/01 16:54:12 - mmengine - INFO - Epoch(train) [8][120/1879] lr: 1.6000e-02 eta: 2 days, 21:26:16 time: 0.9186 data_time: 0.0350 memory: 11089 grad_norm: 4.5685 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1876 loss: 2.1876 2022/08/01 16:54:30 - mmengine - INFO - Epoch(train) [8][140/1879] lr: 1.6000e-02 eta: 2 days, 21:25:54 time: 0.9213 data_time: 0.0310 memory: 11089 grad_norm: 4.5158 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4630 loss: 2.4630 2022/08/01 16:54:48 - mmengine - INFO - Epoch(train) [8][160/1879] lr: 1.6000e-02 eta: 2 days, 21:25:23 time: 0.9011 data_time: 0.0262 memory: 11089 grad_norm: 4.5400 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3465 loss: 2.3465 2022/08/01 16:55:07 - mmengine - INFO - Epoch(train) [8][180/1879] lr: 1.6000e-02 eta: 2 days, 21:25:09 time: 0.9410 data_time: 0.0313 memory: 11089 grad_norm: 4.5617 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4159 loss: 2.4159 2022/08/01 16:55:25 - mmengine - INFO - Epoch(train) [8][200/1879] lr: 1.6000e-02 eta: 2 days, 21:24:41 time: 0.9092 data_time: 0.0276 memory: 11089 grad_norm: 4.6356 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6741 loss: 2.6741 2022/08/01 16:55:44 - mmengine - INFO - Epoch(train) [8][220/1879] lr: 1.6000e-02 eta: 2 days, 21:24:17 time: 0.9162 data_time: 0.0270 memory: 11089 grad_norm: 4.6021 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.2429 loss: 2.2429 2022/08/01 16:56:02 - mmengine - INFO - Epoch(train) [8][240/1879] lr: 1.6000e-02 eta: 2 days, 21:23:46 time: 0.8996 data_time: 0.0233 memory: 11089 grad_norm: 4.6040 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1067 loss: 2.1067 2022/08/01 16:56:20 - mmengine - INFO - Epoch(train) [8][260/1879] lr: 1.6000e-02 eta: 2 days, 21:23:25 time: 0.9249 data_time: 0.0349 memory: 11089 grad_norm: 4.6728 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4710 loss: 2.4710 2022/08/01 16:56:38 - mmengine - INFO - Epoch(train) [8][280/1879] lr: 1.6000e-02 eta: 2 days, 21:22:52 time: 0.8938 data_time: 0.0250 memory: 11089 grad_norm: 4.5157 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3827 loss: 2.3827 2022/08/01 16:56:57 - mmengine - INFO - Epoch(train) [8][300/1879] lr: 1.6000e-02 eta: 2 days, 21:22:28 time: 0.9180 data_time: 0.0271 memory: 11089 grad_norm: 4.7026 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.7717 loss: 2.7717 2022/08/01 16:57:15 - mmengine - INFO - Epoch(train) [8][320/1879] lr: 1.6000e-02 eta: 2 days, 21:22:00 time: 0.9078 data_time: 0.0263 memory: 11089 grad_norm: 4.4144 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4460 loss: 2.4460 2022/08/01 16:57:33 - mmengine - INFO - Epoch(train) [8][340/1879] lr: 1.6000e-02 eta: 2 days, 21:21:33 time: 0.9088 data_time: 0.0334 memory: 11089 grad_norm: 4.5280 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3804 loss: 2.3804 2022/08/01 16:57:51 - mmengine - INFO - Epoch(train) [8][360/1879] lr: 1.6000e-02 eta: 2 days, 21:21:11 time: 0.9210 data_time: 0.0270 memory: 11089 grad_norm: 4.5326 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3880 loss: 2.3880 2022/08/01 16:58:09 - mmengine - INFO - Epoch(train) [8][380/1879] lr: 1.6000e-02 eta: 2 days, 21:20:44 time: 0.9086 data_time: 0.0268 memory: 11089 grad_norm: 4.5049 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5354 loss: 2.5354 2022/08/01 16:58:28 - mmengine - INFO - Epoch(train) [8][400/1879] lr: 1.6000e-02 eta: 2 days, 21:20:22 time: 0.9221 data_time: 0.0311 memory: 11089 grad_norm: 4.3666 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3814 loss: 2.3814 2022/08/01 16:58:46 - mmengine - INFO - Epoch(train) [8][420/1879] lr: 1.6000e-02 eta: 2 days, 21:19:59 time: 0.9198 data_time: 0.0291 memory: 11089 grad_norm: 4.4772 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3648 loss: 2.3648 2022/08/01 16:59:05 - mmengine - INFO - Epoch(train) [8][440/1879] lr: 1.6000e-02 eta: 2 days, 21:19:36 time: 0.9189 data_time: 0.0270 memory: 11089 grad_norm: 4.5735 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4295 loss: 2.4295 2022/08/01 16:59:23 - mmengine - INFO - Epoch(train) [8][460/1879] lr: 1.6000e-02 eta: 2 days, 21:19:09 time: 0.9098 data_time: 0.0308 memory: 11089 grad_norm: 4.4583 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.4935 loss: 2.4935 2022/08/01 16:59:42 - mmengine - INFO - Epoch(train) [8][480/1879] lr: 1.6000e-02 eta: 2 days, 21:18:52 time: 0.9342 data_time: 0.0284 memory: 11089 grad_norm: 4.5927 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4246 loss: 2.4246 2022/08/01 17:00:00 - mmengine - INFO - Epoch(train) [8][500/1879] lr: 1.6000e-02 eta: 2 days, 21:18:31 time: 0.9252 data_time: 0.0318 memory: 11089 grad_norm: 4.4475 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.2983 loss: 2.2983 2022/08/01 17:00:19 - mmengine - INFO - Epoch(train) [8][520/1879] lr: 1.6000e-02 eta: 2 days, 21:18:16 time: 0.9384 data_time: 0.0399 memory: 11089 grad_norm: 4.4668 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4243 loss: 2.4243 2022/08/01 17:00:36 - mmengine - INFO - Epoch(train) [8][540/1879] lr: 1.6000e-02 eta: 2 days, 21:17:37 time: 0.8792 data_time: 0.0202 memory: 11089 grad_norm: 4.5332 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.4600 loss: 2.4600 2022/08/01 17:00:55 - mmengine - INFO - Epoch(train) [8][560/1879] lr: 1.6000e-02 eta: 2 days, 21:17:13 time: 0.9165 data_time: 0.0260 memory: 11089 grad_norm: 4.5284 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3126 loss: 2.3126 2022/08/01 17:01:13 - mmengine - INFO - Epoch(train) [8][580/1879] lr: 1.6000e-02 eta: 2 days, 21:16:49 time: 0.9163 data_time: 0.0333 memory: 11089 grad_norm: 4.3708 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3467 loss: 2.3467 2022/08/01 17:01:32 - mmengine - INFO - Epoch(train) [8][600/1879] lr: 1.6000e-02 eta: 2 days, 21:16:30 time: 0.9287 data_time: 0.0313 memory: 11089 grad_norm: 4.5149 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4117 loss: 2.4117 2022/08/01 17:01:50 - mmengine - INFO - Epoch(train) [8][620/1879] lr: 1.6000e-02 eta: 2 days, 21:15:59 time: 0.8977 data_time: 0.0261 memory: 11089 grad_norm: 4.4734 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4701 loss: 2.4701 2022/08/01 17:02:08 - mmengine - INFO - Epoch(train) [8][640/1879] lr: 1.6000e-02 eta: 2 days, 21:15:32 time: 0.9098 data_time: 0.0312 memory: 11089 grad_norm: 4.3534 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.4325 loss: 2.4325 2022/08/01 17:02:26 - mmengine - INFO - Epoch(train) [8][660/1879] lr: 1.6000e-02 eta: 2 days, 21:15:07 time: 0.9143 data_time: 0.0268 memory: 11089 grad_norm: 4.5837 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.4181 loss: 2.4181 2022/08/01 17:02:44 - mmengine - INFO - Epoch(train) [8][680/1879] lr: 1.6000e-02 eta: 2 days, 21:14:31 time: 0.8844 data_time: 0.0210 memory: 11089 grad_norm: 4.4178 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.2244 loss: 2.2244 2022/08/01 17:03:02 - mmengine - INFO - Epoch(train) [8][700/1879] lr: 1.6000e-02 eta: 2 days, 21:14:09 time: 0.9214 data_time: 0.0322 memory: 11089 grad_norm: 4.4967 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3048 loss: 2.3048 2022/08/01 17:03:21 - mmengine - INFO - Epoch(train) [8][720/1879] lr: 1.6000e-02 eta: 2 days, 21:13:47 time: 0.9200 data_time: 0.0296 memory: 11089 grad_norm: 4.5418 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.3861 loss: 2.3861 2022/08/01 17:03:39 - mmengine - INFO - Epoch(train) [8][740/1879] lr: 1.6000e-02 eta: 2 days, 21:13:20 time: 0.9102 data_time: 0.0198 memory: 11089 grad_norm: 4.4662 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4576 loss: 2.4576 2022/08/01 17:03:57 - mmengine - INFO - Epoch(train) [8][760/1879] lr: 1.6000e-02 eta: 2 days, 21:12:56 time: 0.9158 data_time: 0.0336 memory: 11089 grad_norm: 4.5454 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3034 loss: 2.3034 2022/08/01 17:04:16 - mmengine - INFO - Epoch(train) [8][780/1879] lr: 1.6000e-02 eta: 2 days, 21:12:34 time: 0.9210 data_time: 0.0378 memory: 11089 grad_norm: 4.4229 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5011 loss: 2.5011 2022/08/01 17:04:34 - mmengine - INFO - Epoch(train) [8][800/1879] lr: 1.6000e-02 eta: 2 days, 21:12:13 time: 0.9235 data_time: 0.0317 memory: 11089 grad_norm: 4.4172 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4769 loss: 2.4769 2022/08/01 17:04:52 - mmengine - INFO - Epoch(train) [8][820/1879] lr: 1.6000e-02 eta: 2 days, 21:11:50 time: 0.9178 data_time: 0.0341 memory: 11089 grad_norm: 4.4045 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2633 loss: 2.2633 2022/08/01 17:05:11 - mmengine - INFO - Epoch(train) [8][840/1879] lr: 1.6000e-02 eta: 2 days, 21:11:24 time: 0.9103 data_time: 0.0288 memory: 11089 grad_norm: 4.4748 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2340 loss: 2.2340 2022/08/01 17:05:17 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 17:05:29 - mmengine - INFO - Epoch(train) [8][860/1879] lr: 1.6000e-02 eta: 2 days, 21:11:06 time: 0.9329 data_time: 0.0326 memory: 11089 grad_norm: 4.5337 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4289 loss: 2.4289 2022/08/01 17:05:47 - mmengine - INFO - Epoch(train) [8][880/1879] lr: 1.6000e-02 eta: 2 days, 21:10:37 time: 0.9005 data_time: 0.0270 memory: 11089 grad_norm: 4.4977 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5348 loss: 2.5348 2022/08/01 17:06:06 - mmengine - INFO - Epoch(train) [8][900/1879] lr: 1.6000e-02 eta: 2 days, 21:10:13 time: 0.9163 data_time: 0.0281 memory: 11089 grad_norm: 4.4905 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2124 loss: 2.2124 2022/08/01 17:06:24 - mmengine - INFO - Epoch(train) [8][920/1879] lr: 1.6000e-02 eta: 2 days, 21:09:44 time: 0.9036 data_time: 0.0249 memory: 11089 grad_norm: 4.4369 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4479 loss: 2.4479 2022/08/01 17:06:42 - mmengine - INFO - Epoch(train) [8][940/1879] lr: 1.6000e-02 eta: 2 days, 21:09:23 time: 0.9217 data_time: 0.0310 memory: 11089 grad_norm: 4.5183 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4360 loss: 2.4360 2022/08/01 17:07:01 - mmengine - INFO - Epoch(train) [8][960/1879] lr: 1.6000e-02 eta: 2 days, 21:09:07 time: 0.9384 data_time: 0.0400 memory: 11089 grad_norm: 4.4596 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5174 loss: 2.5174 2022/08/01 17:07:20 - mmengine - INFO - Epoch(train) [8][980/1879] lr: 1.6000e-02 eta: 2 days, 21:08:57 time: 0.9515 data_time: 0.0388 memory: 11089 grad_norm: 4.4539 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5481 loss: 2.5481 2022/08/01 17:07:38 - mmengine - INFO - Epoch(train) [8][1000/1879] lr: 1.6000e-02 eta: 2 days, 21:08:33 time: 0.9162 data_time: 0.0310 memory: 11089 grad_norm: 4.4681 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4156 loss: 2.4156 2022/08/01 17:07:57 - mmengine - INFO - Epoch(train) [8][1020/1879] lr: 1.6000e-02 eta: 2 days, 21:08:11 time: 0.9199 data_time: 0.0287 memory: 11089 grad_norm: 4.5518 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3733 loss: 2.3733 2022/08/01 17:08:15 - mmengine - INFO - Epoch(train) [8][1040/1879] lr: 1.6000e-02 eta: 2 days, 21:07:49 time: 0.9218 data_time: 0.0321 memory: 11089 grad_norm: 4.6040 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3475 loss: 2.3475 2022/08/01 17:08:33 - mmengine - INFO - Epoch(train) [8][1060/1879] lr: 1.6000e-02 eta: 2 days, 21:07:20 time: 0.9008 data_time: 0.0327 memory: 11089 grad_norm: 4.3978 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.5780 loss: 2.5780 2022/08/01 17:08:51 - mmengine - INFO - Epoch(train) [8][1080/1879] lr: 1.6000e-02 eta: 2 days, 21:06:56 time: 0.9160 data_time: 0.0355 memory: 11089 grad_norm: 4.4783 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4666 loss: 2.4666 2022/08/01 17:09:09 - mmengine - INFO - Epoch(train) [8][1100/1879] lr: 1.6000e-02 eta: 2 days, 21:06:26 time: 0.9003 data_time: 0.0288 memory: 11089 grad_norm: 4.3605 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2522 loss: 2.2522 2022/08/01 17:09:28 - mmengine - INFO - Epoch(train) [8][1120/1879] lr: 1.6000e-02 eta: 2 days, 21:06:03 time: 0.9188 data_time: 0.0261 memory: 11089 grad_norm: 4.3297 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4966 loss: 2.4966 2022/08/01 17:09:46 - mmengine - INFO - Epoch(train) [8][1140/1879] lr: 1.6000e-02 eta: 2 days, 21:05:44 time: 0.9287 data_time: 0.0385 memory: 11089 grad_norm: 4.3590 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.4033 loss: 2.4033 2022/08/01 17:10:05 - mmengine - INFO - Epoch(train) [8][1160/1879] lr: 1.6000e-02 eta: 2 days, 21:05:21 time: 0.9172 data_time: 0.0281 memory: 11089 grad_norm: 4.4431 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.4726 loss: 2.4726 2022/08/01 17:10:23 - mmengine - INFO - Epoch(train) [8][1180/1879] lr: 1.6000e-02 eta: 2 days, 21:04:57 time: 0.9154 data_time: 0.0342 memory: 11089 grad_norm: 4.4261 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3441 loss: 2.3441 2022/08/01 17:10:41 - mmengine - INFO - Epoch(train) [8][1200/1879] lr: 1.6000e-02 eta: 2 days, 21:04:36 time: 0.9229 data_time: 0.0249 memory: 11089 grad_norm: 4.5386 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.3058 loss: 2.3058 2022/08/01 17:11:00 - mmengine - INFO - Epoch(train) [8][1220/1879] lr: 1.6000e-02 eta: 2 days, 21:04:11 time: 0.9125 data_time: 0.0344 memory: 11089 grad_norm: 4.5131 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4634 loss: 2.4634 2022/08/01 17:11:18 - mmengine - INFO - Epoch(train) [8][1240/1879] lr: 1.6000e-02 eta: 2 days, 21:03:49 time: 0.9198 data_time: 0.0326 memory: 11089 grad_norm: 4.3704 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3723 loss: 2.3723 2022/08/01 17:11:36 - mmengine - INFO - Epoch(train) [8][1260/1879] lr: 1.6000e-02 eta: 2 days, 21:03:26 time: 0.9185 data_time: 0.0276 memory: 11089 grad_norm: 4.2661 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2623 loss: 2.2623 2022/08/01 17:11:55 - mmengine - INFO - Epoch(train) [8][1280/1879] lr: 1.6000e-02 eta: 2 days, 21:03:14 time: 0.9459 data_time: 0.0366 memory: 11089 grad_norm: 4.4310 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2762 loss: 2.2762 2022/08/01 17:12:14 - mmengine - INFO - Epoch(train) [8][1300/1879] lr: 1.6000e-02 eta: 2 days, 21:02:52 time: 0.9211 data_time: 0.0247 memory: 11089 grad_norm: 4.6389 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.5062 loss: 2.5062 2022/08/01 17:12:32 - mmengine - INFO - Epoch(train) [8][1320/1879] lr: 1.6000e-02 eta: 2 days, 21:02:34 time: 0.9313 data_time: 0.0365 memory: 11089 grad_norm: 4.3628 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2246 loss: 2.2246 2022/08/01 17:12:50 - mmengine - INFO - Epoch(train) [8][1340/1879] lr: 1.6000e-02 eta: 2 days, 21:02:05 time: 0.9028 data_time: 0.0317 memory: 11089 grad_norm: 4.4523 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1917 loss: 2.1917 2022/08/01 17:13:09 - mmengine - INFO - Epoch(train) [8][1360/1879] lr: 1.6000e-02 eta: 2 days, 21:01:43 time: 0.9198 data_time: 0.0320 memory: 11089 grad_norm: 4.3531 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5487 loss: 2.5487 2022/08/01 17:13:27 - mmengine - INFO - Epoch(train) [8][1380/1879] lr: 1.6000e-02 eta: 2 days, 21:01:19 time: 0.9135 data_time: 0.0305 memory: 11089 grad_norm: 4.4772 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1915 loss: 2.1915 2022/08/01 17:13:46 - mmengine - INFO - Epoch(train) [8][1400/1879] lr: 1.6000e-02 eta: 2 days, 21:00:58 time: 0.9234 data_time: 0.0349 memory: 11089 grad_norm: 4.4193 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3507 loss: 2.3507 2022/08/01 17:14:04 - mmengine - INFO - Epoch(train) [8][1420/1879] lr: 1.6000e-02 eta: 2 days, 21:00:31 time: 0.9060 data_time: 0.0333 memory: 11089 grad_norm: 4.4518 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2454 loss: 2.2454 2022/08/01 17:14:22 - mmengine - INFO - Epoch(train) [8][1440/1879] lr: 1.6000e-02 eta: 2 days, 21:00:11 time: 0.9253 data_time: 0.0261 memory: 11089 grad_norm: 4.5340 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5519 loss: 2.5519 2022/08/01 17:14:41 - mmengine - INFO - Epoch(train) [8][1460/1879] lr: 1.6000e-02 eta: 2 days, 20:59:48 time: 0.9181 data_time: 0.0274 memory: 11089 grad_norm: 4.5127 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3978 loss: 2.3978 2022/08/01 17:14:59 - mmengine - INFO - Epoch(train) [8][1480/1879] lr: 1.6000e-02 eta: 2 days, 20:59:26 time: 0.9205 data_time: 0.0268 memory: 11089 grad_norm: 4.5484 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4105 loss: 2.4105 2022/08/01 17:15:17 - mmengine - INFO - Epoch(train) [8][1500/1879] lr: 1.6000e-02 eta: 2 days, 20:59:05 time: 0.9222 data_time: 0.0273 memory: 11089 grad_norm: 4.3663 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3713 loss: 2.3713 2022/08/01 17:15:36 - mmengine - INFO - Epoch(train) [8][1520/1879] lr: 1.6000e-02 eta: 2 days, 20:58:37 time: 0.9053 data_time: 0.0272 memory: 11089 grad_norm: 4.4022 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4932 loss: 2.4932 2022/08/01 17:15:53 - mmengine - INFO - Epoch(train) [8][1540/1879] lr: 1.6000e-02 eta: 2 days, 20:58:06 time: 0.8936 data_time: 0.0258 memory: 11089 grad_norm: 4.3398 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3535 loss: 2.3535 2022/08/01 17:16:12 - mmengine - INFO - Epoch(train) [8][1560/1879] lr: 1.6000e-02 eta: 2 days, 20:57:39 time: 0.9075 data_time: 0.0252 memory: 11089 grad_norm: 4.4581 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4319 loss: 2.4319 2022/08/01 17:16:30 - mmengine - INFO - Epoch(train) [8][1580/1879] lr: 1.6000e-02 eta: 2 days, 20:57:09 time: 0.8986 data_time: 0.0278 memory: 11089 grad_norm: 4.5639 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4293 loss: 2.4293 2022/08/01 17:16:48 - mmengine - INFO - Epoch(train) [8][1600/1879] lr: 1.6000e-02 eta: 2 days, 20:56:51 time: 0.9298 data_time: 0.0299 memory: 11089 grad_norm: 4.4584 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3545 loss: 2.3545 2022/08/01 17:17:07 - mmengine - INFO - Epoch(train) [8][1620/1879] lr: 1.6000e-02 eta: 2 days, 20:56:33 time: 0.9311 data_time: 0.0367 memory: 11089 grad_norm: 4.3821 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3798 loss: 2.3798 2022/08/01 17:17:25 - mmengine - INFO - Epoch(train) [8][1640/1879] lr: 1.6000e-02 eta: 2 days, 20:56:08 time: 0.9123 data_time: 0.0280 memory: 11089 grad_norm: 4.3665 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1930 loss: 2.1930 2022/08/01 17:17:43 - mmengine - INFO - Epoch(train) [8][1660/1879] lr: 1.6000e-02 eta: 2 days, 20:55:46 time: 0.9188 data_time: 0.0356 memory: 11089 grad_norm: 4.4187 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4864 loss: 2.4864 2022/08/01 17:18:02 - mmengine - INFO - Epoch(train) [8][1680/1879] lr: 1.6000e-02 eta: 2 days, 20:55:19 time: 0.9070 data_time: 0.0340 memory: 11089 grad_norm: 4.3285 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5843 loss: 2.5843 2022/08/01 17:18:20 - mmengine - INFO - Epoch(train) [8][1700/1879] lr: 1.6000e-02 eta: 2 days, 20:55:03 time: 0.9353 data_time: 0.0427 memory: 11089 grad_norm: 4.4069 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1850 loss: 2.1850 2022/08/01 17:18:39 - mmengine - INFO - Epoch(train) [8][1720/1879] lr: 1.6000e-02 eta: 2 days, 20:54:40 time: 0.9155 data_time: 0.0309 memory: 11089 grad_norm: 4.3156 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3854 loss: 2.3854 2022/08/01 17:18:57 - mmengine - INFO - Epoch(train) [8][1740/1879] lr: 1.6000e-02 eta: 2 days, 20:54:20 time: 0.9268 data_time: 0.0296 memory: 11089 grad_norm: 4.4744 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4673 loss: 2.4673 2022/08/01 17:19:15 - mmengine - INFO - Epoch(train) [8][1760/1879] lr: 1.6000e-02 eta: 2 days, 20:53:55 time: 0.9103 data_time: 0.0287 memory: 11089 grad_norm: 4.5391 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.5515 loss: 2.5515 2022/08/01 17:19:34 - mmengine - INFO - Epoch(train) [8][1780/1879] lr: 1.6000e-02 eta: 2 days, 20:53:33 time: 0.9197 data_time: 0.0378 memory: 11089 grad_norm: 4.3786 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5945 loss: 2.5945 2022/08/01 17:19:52 - mmengine - INFO - Epoch(train) [8][1800/1879] lr: 1.6000e-02 eta: 2 days, 20:53:11 time: 0.9210 data_time: 0.0305 memory: 11089 grad_norm: 4.2666 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0748 loss: 2.0748 2022/08/01 17:20:11 - mmengine - INFO - Epoch(train) [8][1820/1879] lr: 1.6000e-02 eta: 2 days, 20:52:52 time: 0.9271 data_time: 0.0308 memory: 11089 grad_norm: 4.2832 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3548 loss: 2.3548 2022/08/01 17:20:29 - mmengine - INFO - Epoch(train) [8][1840/1879] lr: 1.6000e-02 eta: 2 days, 20:52:30 time: 0.9189 data_time: 0.0313 memory: 11089 grad_norm: 4.3448 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3800 loss: 2.3800 2022/08/01 17:20:35 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 17:20:47 - mmengine - INFO - Epoch(train) [8][1860/1879] lr: 1.6000e-02 eta: 2 days, 20:52:04 time: 0.9096 data_time: 0.0235 memory: 11089 grad_norm: 4.3992 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4603 loss: 2.4603 2022/08/01 17:21:05 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 17:21:05 - mmengine - INFO - Epoch(train) [8][1879/1879] lr: 1.6000e-02 eta: 2 days, 20:52:04 time: 0.9125 data_time: 0.0247 memory: 11089 grad_norm: 4.4314 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.3338 loss: 2.3338 2022/08/01 17:21:05 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/08/01 17:21:28 - mmengine - INFO - Epoch(train) [9][20/1879] lr: 1.8000e-02 eta: 2 days, 20:46:38 time: 0.9949 data_time: 0.1057 memory: 11089 grad_norm: 4.3477 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2922 loss: 2.2922 2022/08/01 17:21:47 - mmengine - INFO - Epoch(train) [9][40/1879] lr: 1.8000e-02 eta: 2 days, 20:46:28 time: 0.9525 data_time: 0.0361 memory: 11089 grad_norm: 4.4266 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4416 loss: 2.4416 2022/08/01 17:22:05 - mmengine - INFO - Epoch(train) [9][60/1879] lr: 1.8000e-02 eta: 2 days, 20:46:05 time: 0.9155 data_time: 0.0292 memory: 11089 grad_norm: 4.4208 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3900 loss: 2.3900 2022/08/01 17:22:24 - mmengine - INFO - Epoch(train) [9][80/1879] lr: 1.8000e-02 eta: 2 days, 20:45:45 time: 0.9226 data_time: 0.0342 memory: 11089 grad_norm: 4.2825 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3345 loss: 2.3345 2022/08/01 17:22:42 - mmengine - INFO - Epoch(train) [9][100/1879] lr: 1.8000e-02 eta: 2 days, 20:45:31 time: 0.9404 data_time: 0.0315 memory: 11089 grad_norm: 4.3687 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2237 loss: 2.2237 2022/08/01 17:23:01 - mmengine - INFO - Epoch(train) [9][120/1879] lr: 1.8000e-02 eta: 2 days, 20:45:18 time: 0.9435 data_time: 0.0396 memory: 11089 grad_norm: 4.3922 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4348 loss: 2.4348 2022/08/01 17:23:20 - mmengine - INFO - Epoch(train) [9][140/1879] lr: 1.8000e-02 eta: 2 days, 20:44:57 time: 0.9212 data_time: 0.0252 memory: 11089 grad_norm: 4.5155 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4427 loss: 2.4427 2022/08/01 17:23:38 - mmengine - INFO - Epoch(train) [9][160/1879] lr: 1.8000e-02 eta: 2 days, 20:44:40 time: 0.9332 data_time: 0.0302 memory: 11089 grad_norm: 4.3778 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3656 loss: 2.3656 2022/08/01 17:23:57 - mmengine - INFO - Epoch(train) [9][180/1879] lr: 1.8000e-02 eta: 2 days, 20:44:20 time: 0.9251 data_time: 0.0372 memory: 11089 grad_norm: 4.3235 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2162 loss: 2.2162 2022/08/01 17:24:15 - mmengine - INFO - Epoch(train) [9][200/1879] lr: 1.8000e-02 eta: 2 days, 20:43:58 time: 0.9181 data_time: 0.0310 memory: 11089 grad_norm: 4.3065 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2946 loss: 2.2946 2022/08/01 17:24:34 - mmengine - INFO - Epoch(train) [9][220/1879] lr: 1.8000e-02 eta: 2 days, 20:43:41 time: 0.9328 data_time: 0.0361 memory: 11089 grad_norm: 4.4796 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2486 loss: 2.2486 2022/08/01 17:24:52 - mmengine - INFO - Epoch(train) [9][240/1879] lr: 1.8000e-02 eta: 2 days, 20:43:17 time: 0.9127 data_time: 0.0285 memory: 11089 grad_norm: 4.3256 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4839 loss: 2.4839 2022/08/01 17:25:10 - mmengine - INFO - Epoch(train) [9][260/1879] lr: 1.8000e-02 eta: 2 days, 20:42:53 time: 0.9108 data_time: 0.0296 memory: 11089 grad_norm: 4.2823 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2264 loss: 2.2264 2022/08/01 17:25:29 - mmengine - INFO - Epoch(train) [9][280/1879] lr: 1.8000e-02 eta: 2 days, 20:42:37 time: 0.9346 data_time: 0.0326 memory: 11089 grad_norm: 4.3676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3757 loss: 2.3757 2022/08/01 17:25:47 - mmengine - INFO - Epoch(train) [9][300/1879] lr: 1.8000e-02 eta: 2 days, 20:42:13 time: 0.9148 data_time: 0.0294 memory: 11089 grad_norm: 4.5126 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.2788 loss: 2.2788 2022/08/01 17:26:05 - mmengine - INFO - Epoch(train) [9][320/1879] lr: 1.8000e-02 eta: 2 days, 20:41:48 time: 0.9097 data_time: 0.0323 memory: 11089 grad_norm: 4.3536 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 2.4152 loss: 2.4152 2022/08/01 17:26:24 - mmengine - INFO - Epoch(train) [9][340/1879] lr: 1.8000e-02 eta: 2 days, 20:41:27 time: 0.9194 data_time: 0.0246 memory: 11089 grad_norm: 4.3232 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.3114 loss: 2.3114 2022/08/01 17:26:42 - mmengine - INFO - Epoch(train) [9][360/1879] lr: 1.8000e-02 eta: 2 days, 20:41:01 time: 0.9078 data_time: 0.0318 memory: 11089 grad_norm: 4.3338 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2250 loss: 2.2250 2022/08/01 17:27:00 - mmengine - INFO - Epoch(train) [9][380/1879] lr: 1.8000e-02 eta: 2 days, 20:40:37 time: 0.9121 data_time: 0.0334 memory: 11089 grad_norm: 4.3729 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2609 loss: 2.2609 2022/08/01 17:27:19 - mmengine - INFO - Epoch(train) [9][400/1879] lr: 1.8000e-02 eta: 2 days, 20:40:16 time: 0.9206 data_time: 0.0247 memory: 11089 grad_norm: 4.3662 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4849 loss: 2.4849 2022/08/01 17:27:37 - mmengine - INFO - Epoch(train) [9][420/1879] lr: 1.8000e-02 eta: 2 days, 20:39:57 time: 0.9268 data_time: 0.0259 memory: 11089 grad_norm: 4.2393 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3767 loss: 2.3767 2022/08/01 17:27:56 - mmengine - INFO - Epoch(train) [9][440/1879] lr: 1.8000e-02 eta: 2 days, 20:39:39 time: 0.9283 data_time: 0.0301 memory: 11089 grad_norm: 4.2951 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4250 loss: 2.4250 2022/08/01 17:28:14 - mmengine - INFO - Epoch(train) [9][460/1879] lr: 1.8000e-02 eta: 2 days, 20:39:13 time: 0.9080 data_time: 0.0232 memory: 11089 grad_norm: 4.2648 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3544 loss: 2.3544 2022/08/01 17:28:32 - mmengine - INFO - Epoch(train) [9][480/1879] lr: 1.8000e-02 eta: 2 days, 20:38:50 time: 0.9136 data_time: 0.0318 memory: 11089 grad_norm: 4.2851 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3933 loss: 2.3933 2022/08/01 17:28:51 - mmengine - INFO - Epoch(train) [9][500/1879] lr: 1.8000e-02 eta: 2 days, 20:38:28 time: 0.9183 data_time: 0.0267 memory: 11089 grad_norm: 4.3218 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2998 loss: 2.2998 2022/08/01 17:29:09 - mmengine - INFO - Epoch(train) [9][520/1879] lr: 1.8000e-02 eta: 2 days, 20:38:08 time: 0.9226 data_time: 0.0280 memory: 11089 grad_norm: 4.3463 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5433 loss: 2.5433 2022/08/01 17:29:27 - mmengine - INFO - Epoch(train) [9][540/1879] lr: 1.8000e-02 eta: 2 days, 20:37:45 time: 0.9152 data_time: 0.0285 memory: 11089 grad_norm: 4.3055 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.4580 loss: 2.4580 2022/08/01 17:29:46 - mmengine - INFO - Epoch(train) [9][560/1879] lr: 1.8000e-02 eta: 2 days, 20:37:21 time: 0.9127 data_time: 0.0280 memory: 11089 grad_norm: 4.2557 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4191 loss: 2.4191 2022/08/01 17:30:04 - mmengine - INFO - Epoch(train) [9][580/1879] lr: 1.8000e-02 eta: 2 days, 20:36:56 time: 0.9083 data_time: 0.0249 memory: 11089 grad_norm: 4.2125 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4558 loss: 2.4558 2022/08/01 17:30:22 - mmengine - INFO - Epoch(train) [9][600/1879] lr: 1.8000e-02 eta: 2 days, 20:36:39 time: 0.9331 data_time: 0.0360 memory: 11089 grad_norm: 4.4322 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2465 loss: 2.2465 2022/08/01 17:30:41 - mmengine - INFO - Epoch(train) [9][620/1879] lr: 1.8000e-02 eta: 2 days, 20:36:20 time: 0.9250 data_time: 0.0296 memory: 11089 grad_norm: 4.3940 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5589 loss: 2.5589 2022/08/01 17:30:59 - mmengine - INFO - Epoch(train) [9][640/1879] lr: 1.8000e-02 eta: 2 days, 20:35:58 time: 0.9194 data_time: 0.0303 memory: 11089 grad_norm: 4.2747 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2699 loss: 2.2699 2022/08/01 17:31:18 - mmengine - INFO - Epoch(train) [9][660/1879] lr: 1.8000e-02 eta: 2 days, 20:35:35 time: 0.9144 data_time: 0.0322 memory: 11089 grad_norm: 4.4285 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4982 loss: 2.4982 2022/08/01 17:31:36 - mmengine - INFO - Epoch(train) [9][680/1879] lr: 1.8000e-02 eta: 2 days, 20:35:11 time: 0.9097 data_time: 0.0279 memory: 11089 grad_norm: 4.3905 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4767 loss: 2.4767 2022/08/01 17:31:54 - mmengine - INFO - Epoch(train) [9][700/1879] lr: 1.8000e-02 eta: 2 days, 20:34:46 time: 0.9115 data_time: 0.0269 memory: 11089 grad_norm: 4.2313 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3286 loss: 2.3286 2022/08/01 17:32:12 - mmengine - INFO - Epoch(train) [9][720/1879] lr: 1.8000e-02 eta: 2 days, 20:34:26 time: 0.9207 data_time: 0.0284 memory: 11089 grad_norm: 4.3246 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4136 loss: 2.4136 2022/08/01 17:32:31 - mmengine - INFO - Epoch(train) [9][740/1879] lr: 1.8000e-02 eta: 2 days, 20:34:12 time: 0.9440 data_time: 0.0338 memory: 11089 grad_norm: 4.3826 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4783 loss: 2.4783 2022/08/01 17:32:50 - mmengine - INFO - Epoch(train) [9][760/1879] lr: 1.8000e-02 eta: 2 days, 20:33:51 time: 0.9181 data_time: 0.0321 memory: 11089 grad_norm: 4.3154 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2863 loss: 2.2863 2022/08/01 17:33:09 - mmengine - INFO - Epoch(train) [9][780/1879] lr: 1.8000e-02 eta: 2 days, 20:33:36 time: 0.9400 data_time: 0.0320 memory: 11089 grad_norm: 4.3997 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3974 loss: 2.3974 2022/08/01 17:33:27 - mmengine - INFO - Epoch(train) [9][800/1879] lr: 1.8000e-02 eta: 2 days, 20:33:13 time: 0.9151 data_time: 0.0282 memory: 11089 grad_norm: 4.4576 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4176 loss: 2.4176 2022/08/01 17:33:45 - mmengine - INFO - Epoch(train) [9][820/1879] lr: 1.8000e-02 eta: 2 days, 20:32:49 time: 0.9115 data_time: 0.0286 memory: 11089 grad_norm: 4.4204 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2114 loss: 2.2114 2022/08/01 17:34:03 - mmengine - INFO - Epoch(train) [9][840/1879] lr: 1.8000e-02 eta: 2 days, 20:32:26 time: 0.9146 data_time: 0.0256 memory: 11089 grad_norm: 4.2862 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.4987 loss: 2.4987 2022/08/01 17:34:22 - mmengine - INFO - Epoch(train) [9][860/1879] lr: 1.8000e-02 eta: 2 days, 20:32:10 time: 0.9351 data_time: 0.0391 memory: 11089 grad_norm: 4.3328 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.2817 loss: 2.2817 2022/08/01 17:34:41 - mmengine - INFO - Epoch(train) [9][880/1879] lr: 1.8000e-02 eta: 2 days, 20:31:55 time: 0.9384 data_time: 0.0403 memory: 11089 grad_norm: 4.2727 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2757 loss: 2.2757 2022/08/01 17:34:59 - mmengine - INFO - Epoch(train) [9][900/1879] lr: 1.8000e-02 eta: 2 days, 20:31:37 time: 0.9273 data_time: 0.0261 memory: 11089 grad_norm: 4.2385 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2436 loss: 2.2436 2022/08/01 17:35:17 - mmengine - INFO - Epoch(train) [9][920/1879] lr: 1.8000e-02 eta: 2 days, 20:31:11 time: 0.9063 data_time: 0.0296 memory: 11089 grad_norm: 4.3306 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3742 loss: 2.3742 2022/08/01 17:35:36 - mmengine - INFO - Epoch(train) [9][940/1879] lr: 1.8000e-02 eta: 2 days, 20:30:52 time: 0.9260 data_time: 0.0281 memory: 11089 grad_norm: 4.3915 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.3245 loss: 2.3245 2022/08/01 17:35:54 - mmengine - INFO - Epoch(train) [9][960/1879] lr: 1.8000e-02 eta: 2 days, 20:30:32 time: 0.9250 data_time: 0.0332 memory: 11089 grad_norm: 4.3370 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3622 loss: 2.3622 2022/08/01 17:36:02 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 17:36:13 - mmengine - INFO - Epoch(train) [9][980/1879] lr: 1.8000e-02 eta: 2 days, 20:30:09 time: 0.9122 data_time: 0.0309 memory: 11089 grad_norm: 4.3300 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.4140 loss: 2.4140 2022/08/01 17:36:31 - mmengine - INFO - Epoch(train) [9][1000/1879] lr: 1.8000e-02 eta: 2 days, 20:29:44 time: 0.9100 data_time: 0.0257 memory: 11089 grad_norm: 4.3878 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3522 loss: 2.3522 2022/08/01 17:36:49 - mmengine - INFO - Epoch(train) [9][1020/1879] lr: 1.8000e-02 eta: 2 days, 20:29:20 time: 0.9110 data_time: 0.0272 memory: 11089 grad_norm: 4.2694 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2738 loss: 2.2738 2022/08/01 17:37:07 - mmengine - INFO - Epoch(train) [9][1040/1879] lr: 1.8000e-02 eta: 2 days, 20:28:56 time: 0.9102 data_time: 0.0327 memory: 11089 grad_norm: 4.3685 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4723 loss: 2.4723 2022/08/01 17:37:26 - mmengine - INFO - Epoch(train) [9][1060/1879] lr: 1.8000e-02 eta: 2 days, 20:28:31 time: 0.9096 data_time: 0.0312 memory: 11089 grad_norm: 4.2282 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9652 loss: 1.9652 2022/08/01 17:37:44 - mmengine - INFO - Epoch(train) [9][1080/1879] lr: 1.8000e-02 eta: 2 days, 20:28:14 time: 0.9307 data_time: 0.0268 memory: 11089 grad_norm: 4.3494 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5443 loss: 2.5443 2022/08/01 17:38:03 - mmengine - INFO - Epoch(train) [9][1100/1879] lr: 1.8000e-02 eta: 2 days, 20:27:57 time: 0.9330 data_time: 0.0445 memory: 11089 grad_norm: 4.3629 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4718 loss: 2.4718 2022/08/01 17:38:21 - mmengine - INFO - Epoch(train) [9][1120/1879] lr: 1.8000e-02 eta: 2 days, 20:27:33 time: 0.9099 data_time: 0.0286 memory: 11089 grad_norm: 4.3497 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1862 loss: 2.1862 2022/08/01 17:38:39 - mmengine - INFO - Epoch(train) [9][1140/1879] lr: 1.8000e-02 eta: 2 days, 20:27:07 time: 0.9050 data_time: 0.0307 memory: 11089 grad_norm: 4.3851 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2798 loss: 2.2798 2022/08/01 17:38:57 - mmengine - INFO - Epoch(train) [9][1160/1879] lr: 1.8000e-02 eta: 2 days, 20:26:43 time: 0.9126 data_time: 0.0318 memory: 11089 grad_norm: 4.4070 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.5037 loss: 2.5037 2022/08/01 17:39:16 - mmengine - INFO - Epoch(train) [9][1180/1879] lr: 1.8000e-02 eta: 2 days, 20:26:20 time: 0.9127 data_time: 0.0318 memory: 11089 grad_norm: 4.3215 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3623 loss: 2.3623 2022/08/01 17:39:34 - mmengine - INFO - Epoch(train) [9][1200/1879] lr: 1.8000e-02 eta: 2 days, 20:25:57 time: 0.9152 data_time: 0.0281 memory: 11089 grad_norm: 4.2878 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4055 loss: 2.4055 2022/08/01 17:39:52 - mmengine - INFO - Epoch(train) [9][1220/1879] lr: 1.8000e-02 eta: 2 days, 20:25:36 time: 0.9190 data_time: 0.0310 memory: 11089 grad_norm: 4.2617 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4379 loss: 2.4379 2022/08/01 17:40:10 - mmengine - INFO - Epoch(train) [9][1240/1879] lr: 1.8000e-02 eta: 2 days, 20:25:09 time: 0.9023 data_time: 0.0258 memory: 11089 grad_norm: 4.3253 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6977 loss: 2.6977 2022/08/01 17:40:29 - mmengine - INFO - Epoch(train) [9][1260/1879] lr: 1.8000e-02 eta: 2 days, 20:24:47 time: 0.9149 data_time: 0.0303 memory: 11089 grad_norm: 4.2703 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4005 loss: 2.4005 2022/08/01 17:40:47 - mmengine - INFO - Epoch(train) [9][1280/1879] lr: 1.8000e-02 eta: 2 days, 20:24:19 time: 0.8993 data_time: 0.0344 memory: 11089 grad_norm: 4.2773 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6005 loss: 2.6005 2022/08/01 17:41:05 - mmengine - INFO - Epoch(train) [9][1300/1879] lr: 1.8000e-02 eta: 2 days, 20:24:00 time: 0.9248 data_time: 0.0295 memory: 11089 grad_norm: 4.3203 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.3569 loss: 2.3569 2022/08/01 17:41:24 - mmengine - INFO - Epoch(train) [9][1320/1879] lr: 1.8000e-02 eta: 2 days, 20:23:41 time: 0.9263 data_time: 0.0295 memory: 11089 grad_norm: 4.2972 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.3098 loss: 2.3098 2022/08/01 17:41:42 - mmengine - INFO - Epoch(train) [9][1340/1879] lr: 1.8000e-02 eta: 2 days, 20:23:16 time: 0.9081 data_time: 0.0286 memory: 11089 grad_norm: 4.3667 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3785 loss: 2.3785 2022/08/01 17:42:00 - mmengine - INFO - Epoch(train) [9][1360/1879] lr: 1.8000e-02 eta: 2 days, 20:22:49 time: 0.9018 data_time: 0.0343 memory: 11089 grad_norm: 4.2203 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3964 loss: 2.3964 2022/08/01 17:42:18 - mmengine - INFO - Epoch(train) [9][1380/1879] lr: 1.8000e-02 eta: 2 days, 20:22:25 time: 0.9094 data_time: 0.0327 memory: 11089 grad_norm: 4.3152 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3926 loss: 2.3926 2022/08/01 17:42:36 - mmengine - INFO - Epoch(train) [9][1400/1879] lr: 1.8000e-02 eta: 2 days, 20:22:04 time: 0.9197 data_time: 0.0265 memory: 11089 grad_norm: 4.2603 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2966 loss: 2.2966 2022/08/01 17:42:55 - mmengine - INFO - Epoch(train) [9][1420/1879] lr: 1.8000e-02 eta: 2 days, 20:21:38 time: 0.9055 data_time: 0.0270 memory: 11089 grad_norm: 4.0953 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2637 loss: 2.2637 2022/08/01 17:43:13 - mmengine - INFO - Epoch(train) [9][1440/1879] lr: 1.8000e-02 eta: 2 days, 20:21:16 time: 0.9154 data_time: 0.0250 memory: 11089 grad_norm: 4.2974 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1074 loss: 2.1074 2022/08/01 17:43:31 - mmengine - INFO - Epoch(train) [9][1460/1879] lr: 1.8000e-02 eta: 2 days, 20:20:50 time: 0.9063 data_time: 0.0274 memory: 11089 grad_norm: 4.2000 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3376 loss: 2.3376 2022/08/01 17:43:49 - mmengine - INFO - Epoch(train) [9][1480/1879] lr: 1.8000e-02 eta: 2 days, 20:20:26 time: 0.9100 data_time: 0.0312 memory: 11089 grad_norm: 4.3168 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.3942 loss: 2.3942 2022/08/01 17:44:07 - mmengine - INFO - Epoch(train) [9][1500/1879] lr: 1.8000e-02 eta: 2 days, 20:20:00 time: 0.9037 data_time: 0.0304 memory: 11089 grad_norm: 4.2022 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2581 loss: 2.2581 2022/08/01 17:44:26 - mmengine - INFO - Epoch(train) [9][1520/1879] lr: 1.8000e-02 eta: 2 days, 20:19:43 time: 0.9310 data_time: 0.0286 memory: 11089 grad_norm: 4.2780 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4445 loss: 2.4445 2022/08/01 17:44:45 - mmengine - INFO - Epoch(train) [9][1540/1879] lr: 1.8000e-02 eta: 2 days, 20:19:29 time: 0.9432 data_time: 0.0411 memory: 11089 grad_norm: 4.1666 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.3081 loss: 2.3081 2022/08/01 17:45:03 - mmengine - INFO - Epoch(train) [9][1560/1879] lr: 1.8000e-02 eta: 2 days, 20:19:09 time: 0.9200 data_time: 0.0323 memory: 11089 grad_norm: 4.2290 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4392 loss: 2.4392 2022/08/01 17:45:21 - mmengine - INFO - Epoch(train) [9][1580/1879] lr: 1.8000e-02 eta: 2 days, 20:18:47 time: 0.9160 data_time: 0.0288 memory: 11089 grad_norm: 4.2547 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4419 loss: 2.4419 2022/08/01 17:45:40 - mmengine - INFO - Epoch(train) [9][1600/1879] lr: 1.8000e-02 eta: 2 days, 20:18:26 time: 0.9195 data_time: 0.0330 memory: 11089 grad_norm: 4.0777 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3488 loss: 2.3488 2022/08/01 17:45:58 - mmengine - INFO - Epoch(train) [9][1620/1879] lr: 1.8000e-02 eta: 2 days, 20:18:02 time: 0.9125 data_time: 0.0334 memory: 11089 grad_norm: 4.0456 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2497 loss: 2.2497 2022/08/01 17:46:17 - mmengine - INFO - Epoch(train) [9][1640/1879] lr: 1.8000e-02 eta: 2 days, 20:17:45 time: 0.9318 data_time: 0.0354 memory: 11089 grad_norm: 4.2375 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.1906 loss: 2.1906 2022/08/01 17:46:35 - mmengine - INFO - Epoch(train) [9][1660/1879] lr: 1.8000e-02 eta: 2 days, 20:17:27 time: 0.9274 data_time: 0.0319 memory: 11089 grad_norm: 4.3224 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5021 loss: 2.5021 2022/08/01 17:46:54 - mmengine - INFO - Epoch(train) [9][1680/1879] lr: 1.8000e-02 eta: 2 days, 20:17:06 time: 0.9187 data_time: 0.0348 memory: 11089 grad_norm: 4.3030 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 2.3965 loss: 2.3965 2022/08/01 17:47:12 - mmengine - INFO - Epoch(train) [9][1700/1879] lr: 1.8000e-02 eta: 2 days, 20:16:46 time: 0.9243 data_time: 0.0363 memory: 11089 grad_norm: 4.2140 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3115 loss: 2.3115 2022/08/01 17:47:30 - mmengine - INFO - Epoch(train) [9][1720/1879] lr: 1.8000e-02 eta: 2 days, 20:16:23 time: 0.9119 data_time: 0.0288 memory: 11089 grad_norm: 4.2077 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2869 loss: 2.2869 2022/08/01 17:47:49 - mmengine - INFO - Epoch(train) [9][1740/1879] lr: 1.8000e-02 eta: 2 days, 20:15:59 time: 0.9102 data_time: 0.0333 memory: 11089 grad_norm: 4.2219 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3394 loss: 2.3394 2022/08/01 17:48:07 - mmengine - INFO - Epoch(train) [9][1760/1879] lr: 1.8000e-02 eta: 2 days, 20:15:34 time: 0.9060 data_time: 0.0278 memory: 11089 grad_norm: 4.1698 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4694 loss: 2.4694 2022/08/01 17:48:25 - mmengine - INFO - Epoch(train) [9][1780/1879] lr: 1.8000e-02 eta: 2 days, 20:15:11 time: 0.9143 data_time: 0.0266 memory: 11089 grad_norm: 4.2756 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3393 loss: 2.3393 2022/08/01 17:48:43 - mmengine - INFO - Epoch(train) [9][1800/1879] lr: 1.8000e-02 eta: 2 days, 20:14:42 time: 0.8931 data_time: 0.0398 memory: 11089 grad_norm: 4.3831 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3652 loss: 2.3652 2022/08/01 17:49:01 - mmengine - INFO - Epoch(train) [9][1820/1879] lr: 1.8000e-02 eta: 2 days, 20:14:17 time: 0.9079 data_time: 0.0284 memory: 11089 grad_norm: 4.2885 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5248 loss: 2.5248 2022/08/01 17:49:20 - mmengine - INFO - Epoch(train) [9][1840/1879] lr: 1.8000e-02 eta: 2 days, 20:14:00 time: 0.9300 data_time: 0.0288 memory: 11089 grad_norm: 4.2196 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1352 loss: 2.1352 2022/08/01 17:49:37 - mmengine - INFO - Epoch(train) [9][1860/1879] lr: 1.8000e-02 eta: 2 days, 20:13:29 time: 0.8888 data_time: 0.0303 memory: 11089 grad_norm: 4.2216 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1774 loss: 2.1774 2022/08/01 17:49:55 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 17:49:55 - mmengine - INFO - Epoch(train) [9][1879/1879] lr: 1.8000e-02 eta: 2 days, 20:13:29 time: 0.9124 data_time: 0.0268 memory: 11089 grad_norm: 4.2256 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.3780 loss: 2.3780 2022/08/01 17:50:15 - mmengine - INFO - Epoch(train) [10][20/1879] lr: 2.0000e-02 eta: 2 days, 20:08:43 time: 1.0095 data_time: 0.1241 memory: 11089 grad_norm: 4.2602 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4273 loss: 2.4273 2022/08/01 17:50:34 - mmengine - INFO - Epoch(train) [10][40/1879] lr: 2.0000e-02 eta: 2 days, 20:08:28 time: 0.9358 data_time: 0.0344 memory: 11089 grad_norm: 4.2546 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1493 loss: 2.1493 2022/08/01 17:50:52 - mmengine - INFO - Epoch(train) [10][60/1879] lr: 2.0000e-02 eta: 2 days, 20:08:09 time: 0.9242 data_time: 0.0317 memory: 11089 grad_norm: 4.2119 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1887 loss: 2.1887 2022/08/01 17:51:11 - mmengine - INFO - Epoch(train) [10][80/1879] lr: 2.0000e-02 eta: 2 days, 20:07:48 time: 0.9184 data_time: 0.0337 memory: 11089 grad_norm: 4.2172 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1777 loss: 2.1777 2022/08/01 17:51:19 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 17:51:29 - mmengine - INFO - Epoch(train) [10][100/1879] lr: 2.0000e-02 eta: 2 days, 20:07:29 time: 0.9265 data_time: 0.0318 memory: 11089 grad_norm: 4.4298 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1704 loss: 2.1704 2022/08/01 17:51:47 - mmengine - INFO - Epoch(train) [10][120/1879] lr: 2.0000e-02 eta: 2 days, 20:07:06 time: 0.9111 data_time: 0.0334 memory: 11089 grad_norm: 4.2706 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.4938 loss: 2.4938 2022/08/01 17:52:06 - mmengine - INFO - Epoch(train) [10][140/1879] lr: 2.0000e-02 eta: 2 days, 20:06:47 time: 0.9231 data_time: 0.0341 memory: 11089 grad_norm: 4.1999 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2760 loss: 2.2760 2022/08/01 17:52:24 - mmengine - INFO - Epoch(train) [10][160/1879] lr: 2.0000e-02 eta: 2 days, 20:06:28 time: 0.9250 data_time: 0.0372 memory: 11089 grad_norm: 4.2053 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4306 loss: 2.4306 2022/08/01 17:52:43 - mmengine - INFO - Epoch(train) [10][180/1879] lr: 2.0000e-02 eta: 2 days, 20:06:14 time: 0.9412 data_time: 0.0352 memory: 11089 grad_norm: 4.2124 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.4629 loss: 2.4629 2022/08/01 17:53:02 - mmengine - INFO - Epoch(train) [10][200/1879] lr: 2.0000e-02 eta: 2 days, 20:05:56 time: 0.9282 data_time: 0.0334 memory: 11089 grad_norm: 4.1208 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5193 loss: 2.5193 2022/08/01 17:53:21 - mmengine - INFO - Epoch(train) [10][220/1879] lr: 2.0000e-02 eta: 2 days, 20:05:46 time: 0.9525 data_time: 0.0384 memory: 11089 grad_norm: 4.1647 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2202 loss: 2.2202 2022/08/01 17:53:39 - mmengine - INFO - Epoch(train) [10][240/1879] lr: 2.0000e-02 eta: 2 days, 20:05:25 time: 0.9178 data_time: 0.0313 memory: 11089 grad_norm: 4.2426 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2909 loss: 2.2909 2022/08/01 17:53:57 - mmengine - INFO - Epoch(train) [10][260/1879] lr: 2.0000e-02 eta: 2 days, 20:04:58 time: 0.8999 data_time: 0.0272 memory: 11089 grad_norm: 4.2403 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.5340 loss: 2.5340 2022/08/01 17:54:15 - mmengine - INFO - Epoch(train) [10][280/1879] lr: 2.0000e-02 eta: 2 days, 20:04:33 time: 0.9051 data_time: 0.0284 memory: 11089 grad_norm: 4.2153 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 2.3830 loss: 2.3830 2022/08/01 17:54:33 - mmengine - INFO - Epoch(train) [10][300/1879] lr: 2.0000e-02 eta: 2 days, 20:04:10 time: 0.9097 data_time: 0.0297 memory: 11089 grad_norm: 4.1813 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 2.2965 loss: 2.2965 2022/08/01 17:54:52 - mmengine - INFO - Epoch(train) [10][320/1879] lr: 2.0000e-02 eta: 2 days, 20:03:49 time: 0.9188 data_time: 0.0289 memory: 11089 grad_norm: 4.2476 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0976 loss: 2.0976 2022/08/01 17:55:10 - mmengine - INFO - Epoch(train) [10][340/1879] lr: 2.0000e-02 eta: 2 days, 20:03:29 time: 0.9224 data_time: 0.0377 memory: 11089 grad_norm: 4.1037 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4585 loss: 2.4585 2022/08/01 17:55:28 - mmengine - INFO - Epoch(train) [10][360/1879] lr: 2.0000e-02 eta: 2 days, 20:03:05 time: 0.9054 data_time: 0.0334 memory: 11089 grad_norm: 4.2567 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2032 loss: 2.2032 2022/08/01 17:55:47 - mmengine - INFO - Epoch(train) [10][380/1879] lr: 2.0000e-02 eta: 2 days, 20:02:47 time: 0.9295 data_time: 0.0353 memory: 11089 grad_norm: 4.3382 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6253 loss: 2.6253 2022/08/01 17:56:05 - mmengine - INFO - Epoch(train) [10][400/1879] lr: 2.0000e-02 eta: 2 days, 20:02:25 time: 0.9142 data_time: 0.0315 memory: 11089 grad_norm: 4.1679 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3618 loss: 2.3618 2022/08/01 17:56:24 - mmengine - INFO - Epoch(train) [10][420/1879] lr: 2.0000e-02 eta: 2 days, 20:02:07 time: 0.9262 data_time: 0.0305 memory: 11089 grad_norm: 4.2998 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.4106 loss: 2.4106 2022/08/01 17:56:42 - mmengine - INFO - Epoch(train) [10][440/1879] lr: 2.0000e-02 eta: 2 days, 20:01:46 time: 0.9176 data_time: 0.0256 memory: 11089 grad_norm: 4.2840 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4158 loss: 2.4158 2022/08/01 17:57:01 - mmengine - INFO - Epoch(train) [10][460/1879] lr: 2.0000e-02 eta: 2 days, 20:01:27 time: 0.9270 data_time: 0.0269 memory: 11089 grad_norm: 4.1311 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1647 loss: 2.1647 2022/08/01 17:57:19 - mmengine - INFO - Epoch(train) [10][480/1879] lr: 2.0000e-02 eta: 2 days, 20:01:06 time: 0.9157 data_time: 0.0271 memory: 11089 grad_norm: 4.1983 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3441 loss: 2.3441 2022/08/01 17:57:37 - mmengine - INFO - Epoch(train) [10][500/1879] lr: 2.0000e-02 eta: 2 days, 20:00:43 time: 0.9133 data_time: 0.0333 memory: 11089 grad_norm: 4.3068 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2666 loss: 2.2666 2022/08/01 17:57:56 - mmengine - INFO - Epoch(train) [10][520/1879] lr: 2.0000e-02 eta: 2 days, 20:00:27 time: 0.9337 data_time: 0.0363 memory: 11089 grad_norm: 4.2498 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4791 loss: 2.4791 2022/08/01 17:58:15 - mmengine - INFO - Epoch(train) [10][540/1879] lr: 2.0000e-02 eta: 2 days, 20:00:13 time: 0.9403 data_time: 0.0304 memory: 11089 grad_norm: 4.1585 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4720 loss: 2.4720 2022/08/01 17:58:34 - mmengine - INFO - Epoch(train) [10][560/1879] lr: 2.0000e-02 eta: 2 days, 20:00:04 time: 0.9579 data_time: 0.0392 memory: 11089 grad_norm: 4.2718 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4272 loss: 2.4272 2022/08/01 17:58:52 - mmengine - INFO - Epoch(train) [10][580/1879] lr: 2.0000e-02 eta: 2 days, 19:59:46 time: 0.9269 data_time: 0.0313 memory: 11089 grad_norm: 4.2137 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2526 loss: 2.2526 2022/08/01 17:59:11 - mmengine - INFO - Epoch(train) [10][600/1879] lr: 2.0000e-02 eta: 2 days, 19:59:26 time: 0.9207 data_time: 0.0351 memory: 11089 grad_norm: 4.1814 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5058 loss: 2.5058 2022/08/01 17:59:29 - mmengine - INFO - Epoch(train) [10][620/1879] lr: 2.0000e-02 eta: 2 days, 19:59:01 time: 0.9053 data_time: 0.0316 memory: 11089 grad_norm: 4.1180 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2688 loss: 2.2688 2022/08/01 17:59:47 - mmengine - INFO - Epoch(train) [10][640/1879] lr: 2.0000e-02 eta: 2 days, 19:58:38 time: 0.9119 data_time: 0.0327 memory: 11089 grad_norm: 4.1565 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2278 loss: 2.2278 2022/08/01 18:00:09 - mmengine - INFO - Epoch(train) [10][660/1879] lr: 2.0000e-02 eta: 2 days, 19:59:06 time: 1.0807 data_time: 0.0431 memory: 11089 grad_norm: 4.1903 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1344 loss: 2.1344 2022/08/01 18:00:27 - mmengine - INFO - Epoch(train) [10][680/1879] lr: 2.0000e-02 eta: 2 days, 19:58:46 time: 0.9202 data_time: 0.0272 memory: 11089 grad_norm: 4.2215 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3618 loss: 2.3618 2022/08/01 18:00:45 - mmengine - INFO - Epoch(train) [10][700/1879] lr: 2.0000e-02 eta: 2 days, 19:58:22 time: 0.9082 data_time: 0.0254 memory: 11089 grad_norm: 4.1953 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4288 loss: 2.4288 2022/08/01 18:01:04 - mmengine - INFO - Epoch(train) [10][720/1879] lr: 2.0000e-02 eta: 2 days, 19:58:02 time: 0.9190 data_time: 0.0318 memory: 11089 grad_norm: 4.1298 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3471 loss: 2.3471 2022/08/01 18:01:22 - mmengine - INFO - Epoch(train) [10][740/1879] lr: 2.0000e-02 eta: 2 days, 19:57:38 time: 0.9082 data_time: 0.0270 memory: 11089 grad_norm: 4.1486 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4302 loss: 2.4302 2022/08/01 18:01:40 - mmengine - INFO - Epoch(train) [10][760/1879] lr: 2.0000e-02 eta: 2 days, 19:57:13 time: 0.9054 data_time: 0.0334 memory: 11089 grad_norm: 4.1293 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4233 loss: 2.4233 2022/08/01 18:01:58 - mmengine - INFO - Epoch(train) [10][780/1879] lr: 2.0000e-02 eta: 2 days, 19:56:48 time: 0.9036 data_time: 0.0270 memory: 11089 grad_norm: 4.1048 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3789 loss: 2.3789 2022/08/01 18:02:16 - mmengine - INFO - Epoch(train) [10][800/1879] lr: 2.0000e-02 eta: 2 days, 19:56:25 time: 0.9110 data_time: 0.0321 memory: 11089 grad_norm: 4.0709 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3033 loss: 2.3033 2022/08/01 18:02:34 - mmengine - INFO - Epoch(train) [10][820/1879] lr: 2.0000e-02 eta: 2 days, 19:56:01 time: 0.9073 data_time: 0.0278 memory: 11089 grad_norm: 4.1901 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2902 loss: 2.2902 2022/08/01 18:02:53 - mmengine - INFO - Epoch(train) [10][840/1879] lr: 2.0000e-02 eta: 2 days, 19:55:36 time: 0.9043 data_time: 0.0219 memory: 11089 grad_norm: 4.1229 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4420 loss: 2.4420 2022/08/01 18:03:11 - mmengine - INFO - Epoch(train) [10][860/1879] lr: 2.0000e-02 eta: 2 days, 19:55:12 time: 0.9094 data_time: 0.0275 memory: 11089 grad_norm: 4.1345 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3360 loss: 2.3360 2022/08/01 18:03:29 - mmengine - INFO - Epoch(train) [10][880/1879] lr: 2.0000e-02 eta: 2 days, 19:54:49 time: 0.9106 data_time: 0.0325 memory: 11089 grad_norm: 4.2277 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2193 loss: 2.2193 2022/08/01 18:03:48 - mmengine - INFO - Epoch(train) [10][900/1879] lr: 2.0000e-02 eta: 2 days, 19:54:36 time: 0.9433 data_time: 0.0360 memory: 11089 grad_norm: 4.0967 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4791 loss: 2.4791 2022/08/01 18:04:06 - mmengine - INFO - Epoch(train) [10][920/1879] lr: 2.0000e-02 eta: 2 days, 19:54:15 time: 0.9177 data_time: 0.0273 memory: 11089 grad_norm: 4.0886 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2108 loss: 2.2108 2022/08/01 18:04:24 - mmengine - INFO - Epoch(train) [10][940/1879] lr: 2.0000e-02 eta: 2 days, 19:53:53 time: 0.9138 data_time: 0.0320 memory: 11089 grad_norm: 4.2386 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4331 loss: 2.4331 2022/08/01 18:04:43 - mmengine - INFO - Epoch(train) [10][960/1879] lr: 2.0000e-02 eta: 2 days, 19:53:37 time: 0.9336 data_time: 0.0361 memory: 11089 grad_norm: 4.1417 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.2325 loss: 2.2325 2022/08/01 18:05:01 - mmengine - INFO - Epoch(train) [10][980/1879] lr: 2.0000e-02 eta: 2 days, 19:53:13 time: 0.9096 data_time: 0.0295 memory: 11089 grad_norm: 4.1615 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.3563 loss: 2.3563 2022/08/01 18:05:20 - mmengine - INFO - Epoch(train) [10][1000/1879] lr: 2.0000e-02 eta: 2 days, 19:52:56 time: 0.9300 data_time: 0.0379 memory: 11089 grad_norm: 4.3068 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4104 loss: 2.4104 2022/08/01 18:05:38 - mmengine - INFO - Epoch(train) [10][1020/1879] lr: 2.0000e-02 eta: 2 days, 19:52:32 time: 0.9072 data_time: 0.0283 memory: 11089 grad_norm: 4.0952 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.3182 loss: 2.3182 2022/08/01 18:05:56 - mmengine - INFO - Epoch(train) [10][1040/1879] lr: 2.0000e-02 eta: 2 days, 19:52:12 time: 0.9200 data_time: 0.0286 memory: 11089 grad_norm: 4.1058 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5648 loss: 2.5648 2022/08/01 18:06:15 - mmengine - INFO - Epoch(train) [10][1060/1879] lr: 2.0000e-02 eta: 2 days, 19:51:53 time: 0.9243 data_time: 0.0276 memory: 11089 grad_norm: 4.1066 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4144 loss: 2.4144 2022/08/01 18:06:33 - mmengine - INFO - Epoch(train) [10][1080/1879] lr: 2.0000e-02 eta: 2 days, 19:51:33 time: 0.9219 data_time: 0.0269 memory: 11089 grad_norm: 4.1657 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2170 loss: 2.2170 2022/08/01 18:06:42 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 18:06:51 - mmengine - INFO - Epoch(train) [10][1100/1879] lr: 2.0000e-02 eta: 2 days, 19:51:08 time: 0.9037 data_time: 0.0268 memory: 11089 grad_norm: 4.1953 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3008 loss: 2.3008 2022/08/01 18:07:10 - mmengine - INFO - Epoch(train) [10][1120/1879] lr: 2.0000e-02 eta: 2 days, 19:50:43 time: 0.9016 data_time: 0.0357 memory: 11089 grad_norm: 4.0748 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2189 loss: 2.2189 2022/08/01 18:07:28 - mmengine - INFO - Epoch(train) [10][1140/1879] lr: 2.0000e-02 eta: 2 days, 19:50:23 time: 0.9231 data_time: 0.0290 memory: 11089 grad_norm: 4.1654 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4071 loss: 2.4071 2022/08/01 18:07:47 - mmengine - INFO - Epoch(train) [10][1160/1879] lr: 2.0000e-02 eta: 2 days, 19:50:08 time: 0.9361 data_time: 0.0349 memory: 11089 grad_norm: 4.0418 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.4666 loss: 2.4666 2022/08/01 18:08:05 - mmengine - INFO - Epoch(train) [10][1180/1879] lr: 2.0000e-02 eta: 2 days, 19:49:47 time: 0.9167 data_time: 0.0330 memory: 11089 grad_norm: 4.1321 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3422 loss: 2.3422 2022/08/01 18:08:23 - mmengine - INFO - Epoch(train) [10][1200/1879] lr: 2.0000e-02 eta: 2 days, 19:49:23 time: 0.9084 data_time: 0.0265 memory: 11089 grad_norm: 4.1409 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2583 loss: 2.2583 2022/08/01 18:08:42 - mmengine - INFO - Epoch(train) [10][1220/1879] lr: 2.0000e-02 eta: 2 days, 19:49:04 time: 0.9246 data_time: 0.0254 memory: 11089 grad_norm: 4.0898 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3889 loss: 2.3889 2022/08/01 18:09:00 - mmengine - INFO - Epoch(train) [10][1240/1879] lr: 2.0000e-02 eta: 2 days, 19:48:44 time: 0.9206 data_time: 0.0314 memory: 11089 grad_norm: 4.1305 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3767 loss: 2.3767 2022/08/01 18:09:18 - mmengine - INFO - Epoch(train) [10][1260/1879] lr: 2.0000e-02 eta: 2 days, 19:48:16 time: 0.8923 data_time: 0.0281 memory: 11089 grad_norm: 4.1716 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2966 loss: 2.2966 2022/08/01 18:09:37 - mmengine - INFO - Epoch(train) [10][1280/1879] lr: 2.0000e-02 eta: 2 days, 19:47:58 time: 0.9294 data_time: 0.0242 memory: 11089 grad_norm: 4.0804 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3214 loss: 2.3214 2022/08/01 18:09:55 - mmengine - INFO - Epoch(train) [10][1300/1879] lr: 2.0000e-02 eta: 2 days, 19:47:38 time: 0.9197 data_time: 0.0386 memory: 11089 grad_norm: 4.1620 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3781 loss: 2.3781 2022/08/01 18:10:13 - mmengine - INFO - Epoch(train) [10][1320/1879] lr: 2.0000e-02 eta: 2 days, 19:47:16 time: 0.9142 data_time: 0.0366 memory: 11089 grad_norm: 4.0750 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.4175 loss: 2.4175 2022/08/01 18:10:32 - mmengine - INFO - Epoch(train) [10][1340/1879] lr: 2.0000e-02 eta: 2 days, 19:47:04 time: 0.9469 data_time: 0.0304 memory: 11089 grad_norm: 4.0492 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3235 loss: 2.3235 2022/08/01 18:10:51 - mmengine - INFO - Epoch(train) [10][1360/1879] lr: 2.0000e-02 eta: 2 days, 19:46:44 time: 0.9209 data_time: 0.0293 memory: 11089 grad_norm: 4.0880 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2976 loss: 2.2976 2022/08/01 18:11:09 - mmengine - INFO - Epoch(train) [10][1380/1879] lr: 2.0000e-02 eta: 2 days, 19:46:21 time: 0.9117 data_time: 0.0296 memory: 11089 grad_norm: 4.1975 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4830 loss: 2.4830 2022/08/01 18:11:28 - mmengine - INFO - Epoch(train) [10][1400/1879] lr: 2.0000e-02 eta: 2 days, 19:46:07 time: 0.9410 data_time: 0.0309 memory: 11089 grad_norm: 4.2501 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3714 loss: 2.3714 2022/08/01 18:11:46 - mmengine - INFO - Epoch(train) [10][1420/1879] lr: 2.0000e-02 eta: 2 days, 19:45:49 time: 0.9246 data_time: 0.0340 memory: 11089 grad_norm: 4.0466 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1354 loss: 2.1354 2022/08/01 18:12:05 - mmengine - INFO - Epoch(train) [10][1440/1879] lr: 2.0000e-02 eta: 2 days, 19:45:32 time: 0.9331 data_time: 0.0348 memory: 11089 grad_norm: 4.0434 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2640 loss: 2.2640 2022/08/01 18:12:23 - mmengine - INFO - Epoch(train) [10][1460/1879] lr: 2.0000e-02 eta: 2 days, 19:45:06 time: 0.8987 data_time: 0.0265 memory: 11089 grad_norm: 4.1621 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.3510 loss: 2.3510 2022/08/01 18:12:41 - mmengine - INFO - Epoch(train) [10][1480/1879] lr: 2.0000e-02 eta: 2 days, 19:44:42 time: 0.9059 data_time: 0.0294 memory: 11089 grad_norm: 4.0541 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5289 loss: 2.5289 2022/08/01 18:12:59 - mmengine - INFO - Epoch(train) [10][1500/1879] lr: 2.0000e-02 eta: 2 days, 19:44:20 time: 0.9147 data_time: 0.0292 memory: 11089 grad_norm: 4.1723 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.3655 loss: 2.3655 2022/08/01 18:13:18 - mmengine - INFO - Epoch(train) [10][1520/1879] lr: 2.0000e-02 eta: 2 days, 19:44:01 time: 0.9238 data_time: 0.0284 memory: 11089 grad_norm: 4.0332 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2934 loss: 2.2934 2022/08/01 18:13:36 - mmengine - INFO - Epoch(train) [10][1540/1879] lr: 2.0000e-02 eta: 2 days, 19:43:41 time: 0.9201 data_time: 0.0296 memory: 11089 grad_norm: 4.0717 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3328 loss: 2.3328 2022/08/01 18:13:55 - mmengine - INFO - Epoch(train) [10][1560/1879] lr: 2.0000e-02 eta: 2 days, 19:43:22 time: 0.9242 data_time: 0.0283 memory: 11089 grad_norm: 4.1140 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4172 loss: 2.4172 2022/08/01 18:14:13 - mmengine - INFO - Epoch(train) [10][1580/1879] lr: 2.0000e-02 eta: 2 days, 19:43:02 time: 0.9209 data_time: 0.0326 memory: 11089 grad_norm: 4.1884 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3797 loss: 2.3797 2022/08/01 18:14:31 - mmengine - INFO - Epoch(train) [10][1600/1879] lr: 2.0000e-02 eta: 2 days, 19:42:39 time: 0.9113 data_time: 0.0332 memory: 11089 grad_norm: 4.0624 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5665 loss: 2.5665 2022/08/01 18:14:49 - mmengine - INFO - Epoch(train) [10][1620/1879] lr: 2.0000e-02 eta: 2 days, 19:42:16 time: 0.9091 data_time: 0.0276 memory: 11089 grad_norm: 4.0783 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.3181 loss: 2.3181 2022/08/01 18:15:08 - mmengine - INFO - Epoch(train) [10][1640/1879] lr: 2.0000e-02 eta: 2 days, 19:41:54 time: 0.9117 data_time: 0.0298 memory: 11089 grad_norm: 4.1083 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3284 loss: 2.3284 2022/08/01 18:15:26 - mmengine - INFO - Epoch(train) [10][1660/1879] lr: 2.0000e-02 eta: 2 days, 19:41:31 time: 0.9116 data_time: 0.0353 memory: 11089 grad_norm: 4.0907 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.1627 loss: 2.1627 2022/08/01 18:15:44 - mmengine - INFO - Epoch(train) [10][1680/1879] lr: 2.0000e-02 eta: 2 days, 19:41:06 time: 0.9006 data_time: 0.0297 memory: 11089 grad_norm: 4.1748 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.5751 loss: 2.5751 2022/08/01 18:16:02 - mmengine - INFO - Epoch(train) [10][1700/1879] lr: 2.0000e-02 eta: 2 days, 19:40:46 time: 0.9197 data_time: 0.0292 memory: 11089 grad_norm: 4.0307 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.4120 loss: 2.4120 2022/08/01 18:16:20 - mmengine - INFO - Epoch(train) [10][1720/1879] lr: 2.0000e-02 eta: 2 days, 19:40:21 time: 0.9049 data_time: 0.0274 memory: 11089 grad_norm: 4.0634 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5786 loss: 2.5786 2022/08/01 18:16:39 - mmengine - INFO - Epoch(train) [10][1740/1879] lr: 2.0000e-02 eta: 2 days, 19:39:59 time: 0.9139 data_time: 0.0248 memory: 11089 grad_norm: 4.0734 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3494 loss: 2.3494 2022/08/01 18:16:57 - mmengine - INFO - Epoch(train) [10][1760/1879] lr: 2.0000e-02 eta: 2 days, 19:39:40 time: 0.9216 data_time: 0.0254 memory: 11089 grad_norm: 4.0771 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5257 loss: 2.5257 2022/08/01 18:17:15 - mmengine - INFO - Epoch(train) [10][1780/1879] lr: 2.0000e-02 eta: 2 days, 19:39:19 time: 0.9162 data_time: 0.0275 memory: 11089 grad_norm: 4.0561 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3848 loss: 2.3848 2022/08/01 18:17:34 - mmengine - INFO - Epoch(train) [10][1800/1879] lr: 2.0000e-02 eta: 2 days, 19:38:58 time: 0.9194 data_time: 0.0343 memory: 11089 grad_norm: 4.1110 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4039 loss: 2.4039 2022/08/01 18:17:53 - mmengine - INFO - Epoch(train) [10][1820/1879] lr: 2.0000e-02 eta: 2 days, 19:38:45 time: 0.9422 data_time: 0.0261 memory: 11089 grad_norm: 4.1413 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4584 loss: 2.4584 2022/08/01 18:18:11 - mmengine - INFO - Epoch(train) [10][1840/1879] lr: 2.0000e-02 eta: 2 days, 19:38:22 time: 0.9108 data_time: 0.0272 memory: 11089 grad_norm: 4.0711 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2574 loss: 2.2574 2022/08/01 18:18:29 - mmengine - INFO - Epoch(train) [10][1860/1879] lr: 2.0000e-02 eta: 2 days, 19:38:01 time: 0.9180 data_time: 0.0334 memory: 11089 grad_norm: 4.0342 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.3300 loss: 2.3300 2022/08/01 18:18:47 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 18:18:47 - mmengine - INFO - Epoch(train) [10][1879/1879] lr: 2.0000e-02 eta: 2 days, 19:38:01 time: 0.9149 data_time: 0.0288 memory: 11089 grad_norm: 4.1288 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.1341 loss: 2.1341 2022/08/01 18:18:55 - mmengine - INFO - Epoch(val) [10][20/155] eta: 0:00:58 time: 0.4305 data_time: 0.1204 memory: 1950 2022/08/01 18:19:02 - mmengine - INFO - Epoch(val) [10][40/155] eta: 0:00:37 time: 0.3219 data_time: 0.0111 memory: 1950 2022/08/01 18:19:08 - mmengine - INFO - Epoch(val) [10][60/155] eta: 0:00:30 time: 0.3256 data_time: 0.0128 memory: 1950 2022/08/01 18:19:15 - mmengine - INFO - Epoch(val) [10][80/155] eta: 0:00:24 time: 0.3254 data_time: 0.0123 memory: 1950 2022/08/01 18:19:22 - mmengine - INFO - Epoch(val) [10][100/155] eta: 0:00:18 time: 0.3381 data_time: 0.0129 memory: 1950 2022/08/01 18:19:28 - mmengine - INFO - Epoch(val) [10][120/155] eta: 0:00:11 time: 0.3288 data_time: 0.0124 memory: 1950 2022/08/01 18:19:36 - mmengine - INFO - Epoch(val) [10][140/155] eta: 0:00:05 time: 0.3853 data_time: 0.0094 memory: 1950 2022/08/01 18:19:43 - mmengine - INFO - Epoch(val) [10][155/155] acc/top1: 0.5504 acc/top5: 0.7924 acc/mean1: 0.5502 2022/08/01 18:19:43 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb/best_acc/top1_epoch_6.pth is removed 2022/08/01 18:19:45 - mmengine - INFO - The best checkpoint with 0.5504 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2022/08/01 18:20:06 - mmengine - INFO - Epoch(train) [11][20/1879] lr: 2.0000e-02 eta: 2 days, 19:33:49 time: 1.0329 data_time: 0.1347 memory: 11089 grad_norm: 4.0348 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2003 loss: 2.2003 2022/08/01 18:20:24 - mmengine - INFO - Epoch(train) [11][40/1879] lr: 2.0000e-02 eta: 2 days, 19:33:30 time: 0.9222 data_time: 0.0325 memory: 11089 grad_norm: 3.9531 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0622 loss: 2.0622 2022/08/01 18:20:42 - mmengine - INFO - Epoch(train) [11][60/1879] lr: 2.0000e-02 eta: 2 days, 19:33:09 time: 0.9144 data_time: 0.0287 memory: 11089 grad_norm: 4.0178 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.3612 loss: 2.3612 2022/08/01 18:21:00 - mmengine - INFO - Epoch(train) [11][80/1879] lr: 2.0000e-02 eta: 2 days, 19:32:44 time: 0.9026 data_time: 0.0296 memory: 11089 grad_norm: 4.0905 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1278 loss: 2.1278 2022/08/01 18:21:19 - mmengine - INFO - Epoch(train) [11][100/1879] lr: 2.0000e-02 eta: 2 days, 19:32:21 time: 0.9091 data_time: 0.0295 memory: 11089 grad_norm: 4.0317 top1_acc: 0.2500 top5_acc: 0.9375 loss_cls: 2.2269 loss: 2.2269 2022/08/01 18:21:37 - mmengine - INFO - Epoch(train) [11][120/1879] lr: 2.0000e-02 eta: 2 days, 19:32:02 time: 0.9223 data_time: 0.0318 memory: 11089 grad_norm: 4.0674 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4294 loss: 2.4294 2022/08/01 18:21:56 - mmengine - INFO - Epoch(train) [11][140/1879] lr: 2.0000e-02 eta: 2 days, 19:31:46 time: 0.9345 data_time: 0.0347 memory: 11089 grad_norm: 4.0837 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.2000 loss: 2.2000 2022/08/01 18:22:14 - mmengine - INFO - Epoch(train) [11][160/1879] lr: 2.0000e-02 eta: 2 days, 19:31:25 time: 0.9129 data_time: 0.0322 memory: 11089 grad_norm: 4.0431 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3304 loss: 2.3304 2022/08/01 18:22:33 - mmengine - INFO - Epoch(train) [11][180/1879] lr: 2.0000e-02 eta: 2 days, 19:31:07 time: 0.9259 data_time: 0.0337 memory: 11089 grad_norm: 4.1760 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3259 loss: 2.3259 2022/08/01 18:22:51 - mmengine - INFO - Epoch(train) [11][200/1879] lr: 2.0000e-02 eta: 2 days, 19:30:44 time: 0.9096 data_time: 0.0290 memory: 11089 grad_norm: 4.1069 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5021 loss: 2.5021 2022/08/01 18:23:00 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 18:23:09 - mmengine - INFO - Epoch(train) [11][220/1879] lr: 2.0000e-02 eta: 2 days, 19:30:20 time: 0.9062 data_time: 0.0323 memory: 11089 grad_norm: 4.1640 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4434 loss: 2.4434 2022/08/01 18:23:27 - mmengine - INFO - Epoch(train) [11][240/1879] lr: 2.0000e-02 eta: 2 days, 19:30:02 time: 0.9260 data_time: 0.0327 memory: 11089 grad_norm: 4.0506 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.3652 loss: 2.3652 2022/08/01 18:23:46 - mmengine - INFO - Epoch(train) [11][260/1879] lr: 2.0000e-02 eta: 2 days, 19:29:42 time: 0.9189 data_time: 0.0290 memory: 11089 grad_norm: 4.1022 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4050 loss: 2.4050 2022/08/01 18:24:04 - mmengine - INFO - Epoch(train) [11][280/1879] lr: 2.0000e-02 eta: 2 days, 19:29:19 time: 0.9075 data_time: 0.0274 memory: 11089 grad_norm: 4.0917 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0631 loss: 2.0631 2022/08/01 18:24:23 - mmengine - INFO - Epoch(train) [11][300/1879] lr: 2.0000e-02 eta: 2 days, 19:29:03 time: 0.9329 data_time: 0.0320 memory: 11089 grad_norm: 4.0695 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2533 loss: 2.2533 2022/08/01 18:24:41 - mmengine - INFO - Epoch(train) [11][320/1879] lr: 2.0000e-02 eta: 2 days, 19:28:42 time: 0.9161 data_time: 0.0327 memory: 11089 grad_norm: 4.0966 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2206 loss: 2.2206 2022/08/01 18:24:59 - mmengine - INFO - Epoch(train) [11][340/1879] lr: 2.0000e-02 eta: 2 days, 19:28:20 time: 0.9118 data_time: 0.0286 memory: 11089 grad_norm: 4.1046 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2036 loss: 2.2036 2022/08/01 18:25:18 - mmengine - INFO - Epoch(train) [11][360/1879] lr: 2.0000e-02 eta: 2 days, 19:28:00 time: 0.9176 data_time: 0.0309 memory: 11089 grad_norm: 4.0676 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0978 loss: 2.0978 2022/08/01 18:25:36 - mmengine - INFO - Epoch(train) [11][380/1879] lr: 2.0000e-02 eta: 2 days, 19:27:42 time: 0.9267 data_time: 0.0289 memory: 11089 grad_norm: 4.0059 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.3479 loss: 2.3479 2022/08/01 18:25:55 - mmengine - INFO - Epoch(train) [11][400/1879] lr: 2.0000e-02 eta: 2 days, 19:27:28 time: 0.9438 data_time: 0.0370 memory: 11089 grad_norm: 4.1563 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3268 loss: 2.3268 2022/08/01 18:26:14 - mmengine - INFO - Epoch(train) [11][420/1879] lr: 2.0000e-02 eta: 2 days, 19:27:13 time: 0.9358 data_time: 0.0314 memory: 11089 grad_norm: 4.1115 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1967 loss: 2.1967 2022/08/01 18:26:32 - mmengine - INFO - Epoch(train) [11][440/1879] lr: 2.0000e-02 eta: 2 days, 19:26:51 time: 0.9116 data_time: 0.0249 memory: 11089 grad_norm: 4.1374 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6113 loss: 2.6113 2022/08/01 18:26:50 - mmengine - INFO - Epoch(train) [11][460/1879] lr: 2.0000e-02 eta: 2 days, 19:26:26 time: 0.9003 data_time: 0.0297 memory: 11089 grad_norm: 4.0338 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2285 loss: 2.2285 2022/08/01 18:27:08 - mmengine - INFO - Epoch(train) [11][480/1879] lr: 2.0000e-02 eta: 2 days, 19:26:07 time: 0.9219 data_time: 0.0311 memory: 11089 grad_norm: 4.0087 top1_acc: 0.4375 top5_acc: 0.4375 loss_cls: 2.3124 loss: 2.3124 2022/08/01 18:27:27 - mmengine - INFO - Epoch(train) [11][500/1879] lr: 2.0000e-02 eta: 2 days, 19:25:45 time: 0.9141 data_time: 0.0342 memory: 11089 grad_norm: 4.0057 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2995 loss: 2.2995 2022/08/01 18:27:45 - mmengine - INFO - Epoch(train) [11][520/1879] lr: 2.0000e-02 eta: 2 days, 19:25:28 time: 0.9297 data_time: 0.0335 memory: 11089 grad_norm: 4.0683 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3680 loss: 2.3680 2022/08/01 18:28:03 - mmengine - INFO - Epoch(train) [11][540/1879] lr: 2.0000e-02 eta: 2 days, 19:25:06 time: 0.9091 data_time: 0.0312 memory: 11089 grad_norm: 4.1532 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.3705 loss: 2.3705 2022/08/01 18:28:21 - mmengine - INFO - Epoch(train) [11][560/1879] lr: 2.0000e-02 eta: 2 days, 19:24:41 time: 0.9018 data_time: 0.0316 memory: 11089 grad_norm: 4.1639 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1144 loss: 2.1144 2022/08/01 18:28:40 - mmengine - INFO - Epoch(train) [11][580/1879] lr: 2.0000e-02 eta: 2 days, 19:24:23 time: 0.9252 data_time: 0.0341 memory: 11089 grad_norm: 4.1865 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5186 loss: 2.5186 2022/08/01 18:28:58 - mmengine - INFO - Epoch(train) [11][600/1879] lr: 2.0000e-02 eta: 2 days, 19:23:57 time: 0.8968 data_time: 0.0233 memory: 11089 grad_norm: 4.0164 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2801 loss: 2.2801 2022/08/01 18:29:16 - mmengine - INFO - Epoch(train) [11][620/1879] lr: 2.0000e-02 eta: 2 days, 19:23:35 time: 0.9132 data_time: 0.0295 memory: 11089 grad_norm: 4.1902 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4480 loss: 2.4480 2022/08/01 18:29:35 - mmengine - INFO - Epoch(train) [11][640/1879] lr: 2.0000e-02 eta: 2 days, 19:23:15 time: 0.9202 data_time: 0.0262 memory: 11089 grad_norm: 4.0792 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4163 loss: 2.4163 2022/08/01 18:29:53 - mmengine - INFO - Epoch(train) [11][660/1879] lr: 2.0000e-02 eta: 2 days, 19:23:00 time: 0.9361 data_time: 0.0318 memory: 11089 grad_norm: 4.1409 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3471 loss: 2.3471 2022/08/01 18:30:11 - mmengine - INFO - Epoch(train) [11][680/1879] lr: 2.0000e-02 eta: 2 days, 19:22:36 time: 0.9034 data_time: 0.0262 memory: 11089 grad_norm: 4.0813 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4973 loss: 2.4973 2022/08/01 18:30:30 - mmengine - INFO - Epoch(train) [11][700/1879] lr: 2.0000e-02 eta: 2 days, 19:22:18 time: 0.9253 data_time: 0.0279 memory: 11089 grad_norm: 4.1232 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5559 loss: 2.5559 2022/08/01 18:30:48 - mmengine - INFO - Epoch(train) [11][720/1879] lr: 2.0000e-02 eta: 2 days, 19:21:57 time: 0.9179 data_time: 0.0367 memory: 11089 grad_norm: 4.0469 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2329 loss: 2.2329 2022/08/01 18:31:07 - mmengine - INFO - Epoch(train) [11][740/1879] lr: 2.0000e-02 eta: 2 days, 19:21:39 time: 0.9249 data_time: 0.0296 memory: 11089 grad_norm: 4.1043 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0591 loss: 2.0591 2022/08/01 18:31:25 - mmengine - INFO - Epoch(train) [11][760/1879] lr: 2.0000e-02 eta: 2 days, 19:21:16 time: 0.9065 data_time: 0.0301 memory: 11089 grad_norm: 4.1061 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.5935 loss: 2.5935 2022/08/01 18:31:43 - mmengine - INFO - Epoch(train) [11][780/1879] lr: 2.0000e-02 eta: 2 days, 19:20:58 time: 0.9289 data_time: 0.0279 memory: 11089 grad_norm: 4.1014 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3497 loss: 2.3497 2022/08/01 18:32:02 - mmengine - INFO - Epoch(train) [11][800/1879] lr: 2.0000e-02 eta: 2 days, 19:20:35 time: 0.9058 data_time: 0.0237 memory: 11089 grad_norm: 4.1149 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4822 loss: 2.4822 2022/08/01 18:32:20 - mmengine - INFO - Epoch(train) [11][820/1879] lr: 2.0000e-02 eta: 2 days, 19:20:18 time: 0.9312 data_time: 0.0308 memory: 11089 grad_norm: 3.9796 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1348 loss: 2.1348 2022/08/01 18:32:38 - mmengine - INFO - Epoch(train) [11][840/1879] lr: 2.0000e-02 eta: 2 days, 19:19:57 time: 0.9125 data_time: 0.0335 memory: 11089 grad_norm: 3.9699 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1676 loss: 2.1676 2022/08/01 18:32:56 - mmengine - INFO - Epoch(train) [11][860/1879] lr: 2.0000e-02 eta: 2 days, 19:19:33 time: 0.9036 data_time: 0.0230 memory: 11089 grad_norm: 4.0065 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2177 loss: 2.2177 2022/08/01 18:33:15 - mmengine - INFO - Epoch(train) [11][880/1879] lr: 2.0000e-02 eta: 2 days, 19:19:15 time: 0.9263 data_time: 0.0262 memory: 11089 grad_norm: 4.0520 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.2929 loss: 2.2929 2022/08/01 18:33:34 - mmengine - INFO - Epoch(train) [11][900/1879] lr: 2.0000e-02 eta: 2 days, 19:19:01 time: 0.9412 data_time: 0.0380 memory: 11089 grad_norm: 4.0908 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4289 loss: 2.4289 2022/08/01 18:33:52 - mmengine - INFO - Epoch(train) [11][920/1879] lr: 2.0000e-02 eta: 2 days, 19:18:41 time: 0.9209 data_time: 0.0254 memory: 11089 grad_norm: 4.0673 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2041 loss: 2.2041 2022/08/01 18:34:10 - mmengine - INFO - Epoch(train) [11][940/1879] lr: 2.0000e-02 eta: 2 days, 19:18:18 time: 0.9062 data_time: 0.0266 memory: 11089 grad_norm: 4.0122 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4002 loss: 2.4002 2022/08/01 18:34:29 - mmengine - INFO - Epoch(train) [11][960/1879] lr: 2.0000e-02 eta: 2 days, 19:17:58 time: 0.9212 data_time: 0.0325 memory: 11089 grad_norm: 3.9881 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.4234 loss: 2.4234 2022/08/01 18:34:47 - mmengine - INFO - Epoch(train) [11][980/1879] lr: 2.0000e-02 eta: 2 days, 19:17:33 time: 0.8962 data_time: 0.0309 memory: 11089 grad_norm: 4.0220 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2128 loss: 2.2128 2022/08/01 18:35:05 - mmengine - INFO - Epoch(train) [11][1000/1879] lr: 2.0000e-02 eta: 2 days, 19:17:11 time: 0.9131 data_time: 0.0292 memory: 11089 grad_norm: 4.0840 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.2997 loss: 2.2997 2022/08/01 18:35:23 - mmengine - INFO - Epoch(train) [11][1020/1879] lr: 2.0000e-02 eta: 2 days, 19:16:52 time: 0.9220 data_time: 0.0272 memory: 11089 grad_norm: 4.1287 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2483 loss: 2.2483 2022/08/01 18:35:42 - mmengine - INFO - Epoch(train) [11][1040/1879] lr: 2.0000e-02 eta: 2 days, 19:16:31 time: 0.9146 data_time: 0.0390 memory: 11089 grad_norm: 4.0095 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.4573 loss: 2.4573 2022/08/01 18:36:00 - mmengine - INFO - Epoch(train) [11][1060/1879] lr: 2.0000e-02 eta: 2 days, 19:16:10 time: 0.9143 data_time: 0.0299 memory: 11089 grad_norm: 4.0057 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3990 loss: 2.3990 2022/08/01 18:36:18 - mmengine - INFO - Epoch(train) [11][1080/1879] lr: 2.0000e-02 eta: 2 days, 19:15:51 time: 0.9227 data_time: 0.0331 memory: 11089 grad_norm: 3.9996 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3741 loss: 2.3741 2022/08/01 18:36:37 - mmengine - INFO - Epoch(train) [11][1100/1879] lr: 2.0000e-02 eta: 2 days, 19:15:27 time: 0.9031 data_time: 0.0279 memory: 11089 grad_norm: 4.0435 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2216 loss: 2.2216 2022/08/01 18:36:55 - mmengine - INFO - Epoch(train) [11][1120/1879] lr: 2.0000e-02 eta: 2 days, 19:15:08 time: 0.9245 data_time: 0.0281 memory: 11089 grad_norm: 4.0009 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.4165 loss: 2.4165 2022/08/01 18:37:13 - mmengine - INFO - Epoch(train) [11][1140/1879] lr: 2.0000e-02 eta: 2 days, 19:14:48 time: 0.9176 data_time: 0.0280 memory: 11089 grad_norm: 4.0221 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1197 loss: 2.1197 2022/08/01 18:37:32 - mmengine - INFO - Epoch(train) [11][1160/1879] lr: 2.0000e-02 eta: 2 days, 19:14:30 time: 0.9269 data_time: 0.0246 memory: 11089 grad_norm: 4.1026 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2951 loss: 2.2951 2022/08/01 18:37:50 - mmengine - INFO - Epoch(train) [11][1180/1879] lr: 2.0000e-02 eta: 2 days, 19:14:12 time: 0.9239 data_time: 0.0330 memory: 11089 grad_norm: 3.9810 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4041 loss: 2.4041 2022/08/01 18:38:09 - mmengine - INFO - Epoch(train) [11][1200/1879] lr: 2.0000e-02 eta: 2 days, 19:13:52 time: 0.9214 data_time: 0.0254 memory: 11089 grad_norm: 4.0130 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.3289 loss: 2.3289 2022/08/01 18:38:18 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 18:38:27 - mmengine - INFO - Epoch(train) [11][1220/1879] lr: 2.0000e-02 eta: 2 days, 19:13:31 time: 0.9119 data_time: 0.0284 memory: 11089 grad_norm: 4.0202 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1239 loss: 2.1239 2022/08/01 18:38:45 - mmengine - INFO - Epoch(train) [11][1240/1879] lr: 2.0000e-02 eta: 2 days, 19:13:06 time: 0.8998 data_time: 0.0266 memory: 11089 grad_norm: 3.9800 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3178 loss: 2.3178 2022/08/01 18:39:03 - mmengine - INFO - Epoch(train) [11][1260/1879] lr: 2.0000e-02 eta: 2 days, 19:12:43 time: 0.9072 data_time: 0.0275 memory: 11089 grad_norm: 4.1249 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2658 loss: 2.2658 2022/08/01 18:39:21 - mmengine - INFO - Epoch(train) [11][1280/1879] lr: 2.0000e-02 eta: 2 days, 19:12:19 time: 0.9051 data_time: 0.0243 memory: 11089 grad_norm: 4.0196 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1947 loss: 2.1947 2022/08/01 18:39:39 - mmengine - INFO - Epoch(train) [11][1300/1879] lr: 2.0000e-02 eta: 2 days, 19:11:56 time: 0.9065 data_time: 0.0254 memory: 11089 grad_norm: 4.1198 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1911 loss: 2.1911 2022/08/01 18:39:57 - mmengine - INFO - Epoch(train) [11][1320/1879] lr: 2.0000e-02 eta: 2 days, 19:11:29 time: 0.8916 data_time: 0.0287 memory: 11089 grad_norm: 4.0843 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.3197 loss: 2.3197 2022/08/01 18:40:16 - mmengine - INFO - Epoch(train) [11][1340/1879] lr: 2.0000e-02 eta: 2 days, 19:11:11 time: 0.9245 data_time: 0.0274 memory: 11089 grad_norm: 4.0575 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1942 loss: 2.1942 2022/08/01 18:40:34 - mmengine - INFO - Epoch(train) [11][1360/1879] lr: 2.0000e-02 eta: 2 days, 19:10:52 time: 0.9209 data_time: 0.0263 memory: 11089 grad_norm: 3.9738 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3487 loss: 2.3487 2022/08/01 18:40:52 - mmengine - INFO - Epoch(train) [11][1380/1879] lr: 2.0000e-02 eta: 2 days, 19:10:30 time: 0.9102 data_time: 0.0316 memory: 11089 grad_norm: 4.0055 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3169 loss: 2.3169 2022/08/01 18:41:11 - mmengine - INFO - Epoch(train) [11][1400/1879] lr: 2.0000e-02 eta: 2 days, 19:10:08 time: 0.9125 data_time: 0.0322 memory: 11089 grad_norm: 3.9581 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2745 loss: 2.2745 2022/08/01 18:41:29 - mmengine - INFO - Epoch(train) [11][1420/1879] lr: 2.0000e-02 eta: 2 days, 19:09:51 time: 0.9285 data_time: 0.0310 memory: 11089 grad_norm: 4.0278 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3957 loss: 2.3957 2022/08/01 18:41:48 - mmengine - INFO - Epoch(train) [11][1440/1879] lr: 2.0000e-02 eta: 2 days, 19:09:35 time: 0.9363 data_time: 0.0252 memory: 11089 grad_norm: 4.0763 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3663 loss: 2.3663 2022/08/01 18:42:06 - mmengine - INFO - Epoch(train) [11][1460/1879] lr: 2.0000e-02 eta: 2 days, 19:09:15 time: 0.9152 data_time: 0.0271 memory: 11089 grad_norm: 3.9870 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1827 loss: 2.1827 2022/08/01 18:42:25 - mmengine - INFO - Epoch(train) [11][1480/1879] lr: 2.0000e-02 eta: 2 days, 19:08:59 time: 0.9341 data_time: 0.0298 memory: 11089 grad_norm: 4.1332 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5060 loss: 2.5060 2022/08/01 18:42:43 - mmengine - INFO - Epoch(train) [11][1500/1879] lr: 2.0000e-02 eta: 2 days, 19:08:35 time: 0.9051 data_time: 0.0271 memory: 11089 grad_norm: 3.9752 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2473 loss: 2.2473 2022/08/01 18:43:01 - mmengine - INFO - Epoch(train) [11][1520/1879] lr: 2.0000e-02 eta: 2 days, 19:08:16 time: 0.9229 data_time: 0.0295 memory: 11089 grad_norm: 4.0115 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1494 loss: 2.1494 2022/08/01 18:43:20 - mmengine - INFO - Epoch(train) [11][1540/1879] lr: 2.0000e-02 eta: 2 days, 19:07:56 time: 0.9148 data_time: 0.0275 memory: 11089 grad_norm: 3.9675 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4627 loss: 2.4627 2022/08/01 18:43:38 - mmengine - INFO - Epoch(train) [11][1560/1879] lr: 2.0000e-02 eta: 2 days, 19:07:33 time: 0.9096 data_time: 0.0281 memory: 11089 grad_norm: 3.8765 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3820 loss: 2.3820 2022/08/01 18:43:56 - mmengine - INFO - Epoch(train) [11][1580/1879] lr: 2.0000e-02 eta: 2 days, 19:07:15 time: 0.9254 data_time: 0.0300 memory: 11089 grad_norm: 4.0003 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.1947 loss: 2.1947 2022/08/01 18:44:15 - mmengine - INFO - Epoch(train) [11][1600/1879] lr: 2.0000e-02 eta: 2 days, 19:06:54 time: 0.9148 data_time: 0.0285 memory: 11089 grad_norm: 4.0557 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2489 loss: 2.2489 2022/08/01 18:44:33 - mmengine - INFO - Epoch(train) [11][1620/1879] lr: 2.0000e-02 eta: 2 days, 19:06:36 time: 0.9234 data_time: 0.0332 memory: 11089 grad_norm: 4.0394 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2217 loss: 2.2217 2022/08/01 18:44:51 - mmengine - INFO - Epoch(train) [11][1640/1879] lr: 2.0000e-02 eta: 2 days, 19:06:13 time: 0.9061 data_time: 0.0282 memory: 11089 grad_norm: 4.0591 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0604 loss: 2.0604 2022/08/01 18:45:10 - mmengine - INFO - Epoch(train) [11][1660/1879] lr: 2.0000e-02 eta: 2 days, 19:05:54 time: 0.9232 data_time: 0.0265 memory: 11089 grad_norm: 3.9783 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3813 loss: 2.3813 2022/08/01 18:45:28 - mmengine - INFO - Epoch(train) [11][1680/1879] lr: 2.0000e-02 eta: 2 days, 19:05:31 time: 0.9079 data_time: 0.0240 memory: 11089 grad_norm: 4.0290 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.3494 loss: 2.3494 2022/08/01 18:45:47 - mmengine - INFO - Epoch(train) [11][1700/1879] lr: 2.0000e-02 eta: 2 days, 19:05:15 time: 0.9335 data_time: 0.0356 memory: 11089 grad_norm: 3.9679 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3694 loss: 2.3694 2022/08/01 18:46:06 - mmengine - INFO - Epoch(train) [11][1720/1879] lr: 2.0000e-02 eta: 2 days, 19:05:02 time: 0.9451 data_time: 0.0309 memory: 11089 grad_norm: 4.0858 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4798 loss: 2.4798 2022/08/01 18:46:24 - mmengine - INFO - Epoch(train) [11][1740/1879] lr: 2.0000e-02 eta: 2 days, 19:04:42 time: 0.9182 data_time: 0.0295 memory: 11089 grad_norm: 3.9333 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1167 loss: 2.1167 2022/08/01 18:46:42 - mmengine - INFO - Epoch(train) [11][1760/1879] lr: 2.0000e-02 eta: 2 days, 19:04:20 time: 0.9095 data_time: 0.0237 memory: 11089 grad_norm: 4.0037 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.2915 loss: 2.2915 2022/08/01 18:47:00 - mmengine - INFO - Epoch(train) [11][1780/1879] lr: 2.0000e-02 eta: 2 days, 19:03:58 time: 0.9121 data_time: 0.0278 memory: 11089 grad_norm: 4.0520 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3160 loss: 2.3160 2022/08/01 18:47:19 - mmengine - INFO - Epoch(train) [11][1800/1879] lr: 2.0000e-02 eta: 2 days, 19:03:37 time: 0.9124 data_time: 0.0276 memory: 11089 grad_norm: 3.9659 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1691 loss: 2.1691 2022/08/01 18:47:37 - mmengine - INFO - Epoch(train) [11][1820/1879] lr: 2.0000e-02 eta: 2 days, 19:03:17 time: 0.9167 data_time: 0.0276 memory: 11089 grad_norm: 3.9746 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1663 loss: 2.1663 2022/08/01 18:47:56 - mmengine - INFO - Epoch(train) [11][1840/1879] lr: 2.0000e-02 eta: 2 days, 19:03:00 time: 0.9331 data_time: 0.0331 memory: 11089 grad_norm: 4.0346 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.5055 loss: 2.5055 2022/08/01 18:48:14 - mmengine - INFO - Epoch(train) [11][1860/1879] lr: 2.0000e-02 eta: 2 days, 19:02:40 time: 0.9150 data_time: 0.0276 memory: 11089 grad_norm: 3.9730 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.1637 loss: 2.1637 2022/08/01 18:48:31 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 18:48:31 - mmengine - INFO - Epoch(train) [11][1879/1879] lr: 2.0000e-02 eta: 2 days, 19:02:40 time: 0.9040 data_time: 0.0271 memory: 11089 grad_norm: 3.9470 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.2780 loss: 2.2780 2022/08/01 18:48:51 - mmengine - INFO - Epoch(train) [12][20/1879] lr: 2.0000e-02 eta: 2 days, 18:58:37 time: 0.9826 data_time: 0.1075 memory: 11089 grad_norm: 3.9869 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.1789 loss: 2.1789 2022/08/01 18:49:09 - mmengine - INFO - Epoch(train) [12][40/1879] lr: 2.0000e-02 eta: 2 days, 18:58:17 time: 0.9183 data_time: 0.0324 memory: 11089 grad_norm: 4.1169 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2431 loss: 2.2431 2022/08/01 18:49:27 - mmengine - INFO - Epoch(train) [12][60/1879] lr: 2.0000e-02 eta: 2 days, 18:57:56 time: 0.9122 data_time: 0.0291 memory: 11089 grad_norm: 4.1113 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2077 loss: 2.2077 2022/08/01 18:49:45 - mmengine - INFO - Epoch(train) [12][80/1879] lr: 2.0000e-02 eta: 2 days, 18:57:32 time: 0.9039 data_time: 0.0281 memory: 11089 grad_norm: 3.8606 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2095 loss: 2.2095 2022/08/01 18:50:03 - mmengine - INFO - Epoch(train) [12][100/1879] lr: 2.0000e-02 eta: 2 days, 18:57:10 time: 0.9052 data_time: 0.0315 memory: 11089 grad_norm: 4.0532 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1910 loss: 2.1910 2022/08/01 18:50:22 - mmengine - INFO - Epoch(train) [12][120/1879] lr: 2.0000e-02 eta: 2 days, 18:56:53 time: 0.9314 data_time: 0.0349 memory: 11089 grad_norm: 4.1465 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4728 loss: 2.4728 2022/08/01 18:50:40 - mmengine - INFO - Epoch(train) [12][140/1879] lr: 2.0000e-02 eta: 2 days, 18:56:29 time: 0.9009 data_time: 0.0268 memory: 11089 grad_norm: 3.9754 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3734 loss: 2.3734 2022/08/01 18:50:58 - mmengine - INFO - Epoch(train) [12][160/1879] lr: 2.0000e-02 eta: 2 days, 18:56:05 time: 0.9001 data_time: 0.0278 memory: 11089 grad_norm: 4.0042 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0958 loss: 2.0958 2022/08/01 18:51:16 - mmengine - INFO - Epoch(train) [12][180/1879] lr: 2.0000e-02 eta: 2 days, 18:55:43 time: 0.9097 data_time: 0.0267 memory: 11089 grad_norm: 3.9686 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.2445 loss: 2.2445 2022/08/01 18:51:35 - mmengine - INFO - Epoch(train) [12][200/1879] lr: 2.0000e-02 eta: 2 days, 18:55:25 time: 0.9262 data_time: 0.0245 memory: 11089 grad_norm: 4.1022 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1266 loss: 2.1266 2022/08/01 18:51:53 - mmengine - INFO - Epoch(train) [12][220/1879] lr: 2.0000e-02 eta: 2 days, 18:55:01 time: 0.8985 data_time: 0.0272 memory: 11089 grad_norm: 3.9564 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2853 loss: 2.2853 2022/08/01 18:52:11 - mmengine - INFO - Epoch(train) [12][240/1879] lr: 2.0000e-02 eta: 2 days, 18:54:41 time: 0.9173 data_time: 0.0263 memory: 11089 grad_norm: 4.0093 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4923 loss: 2.4923 2022/08/01 18:52:29 - mmengine - INFO - Epoch(train) [12][260/1879] lr: 2.0000e-02 eta: 2 days, 18:54:19 time: 0.9119 data_time: 0.0308 memory: 11089 grad_norm: 4.0012 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1859 loss: 2.1859 2022/08/01 18:52:48 - mmengine - INFO - Epoch(train) [12][280/1879] lr: 2.0000e-02 eta: 2 days, 18:53:59 time: 0.9153 data_time: 0.0285 memory: 11089 grad_norm: 4.0791 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2605 loss: 2.2605 2022/08/01 18:53:06 - mmengine - INFO - Epoch(train) [12][300/1879] lr: 2.0000e-02 eta: 2 days, 18:53:43 time: 0.9324 data_time: 0.0382 memory: 11089 grad_norm: 4.1425 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2289 loss: 2.2289 2022/08/01 18:53:25 - mmengine - INFO - Epoch(train) [12][320/1879] lr: 2.0000e-02 eta: 2 days, 18:53:23 time: 0.9184 data_time: 0.0275 memory: 11089 grad_norm: 4.1174 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2546 loss: 2.2546 2022/08/01 18:53:35 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 18:53:43 - mmengine - INFO - Epoch(train) [12][340/1879] lr: 2.0000e-02 eta: 2 days, 18:52:59 time: 0.8979 data_time: 0.0292 memory: 11089 grad_norm: 4.0681 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0505 loss: 2.0505 2022/08/01 18:54:01 - mmengine - INFO - Epoch(train) [12][360/1879] lr: 2.0000e-02 eta: 2 days, 18:52:39 time: 0.9187 data_time: 0.0286 memory: 11089 grad_norm: 3.9870 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4297 loss: 2.4297 2022/08/01 18:54:20 - mmengine - INFO - Epoch(train) [12][380/1879] lr: 2.0000e-02 eta: 2 days, 18:52:21 time: 0.9244 data_time: 0.0328 memory: 11089 grad_norm: 3.9621 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9495 loss: 1.9495 2022/08/01 18:54:38 - mmengine - INFO - Epoch(train) [12][400/1879] lr: 2.0000e-02 eta: 2 days, 18:52:00 time: 0.9146 data_time: 0.0292 memory: 11089 grad_norm: 4.0214 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9732 loss: 1.9732 2022/08/01 18:54:56 - mmengine - INFO - Epoch(train) [12][420/1879] lr: 2.0000e-02 eta: 2 days, 18:51:37 time: 0.9056 data_time: 0.0267 memory: 11089 grad_norm: 4.0513 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2718 loss: 2.2718 2022/08/01 18:55:14 - mmengine - INFO - Epoch(train) [12][440/1879] lr: 2.0000e-02 eta: 2 days, 18:51:18 time: 0.9190 data_time: 0.0286 memory: 11089 grad_norm: 4.0220 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2516 loss: 2.2516 2022/08/01 18:55:33 - mmengine - INFO - Epoch(train) [12][460/1879] lr: 2.0000e-02 eta: 2 days, 18:50:57 time: 0.9132 data_time: 0.0248 memory: 11089 grad_norm: 4.0574 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3088 loss: 2.3088 2022/08/01 18:55:51 - mmengine - INFO - Epoch(train) [12][480/1879] lr: 2.0000e-02 eta: 2 days, 18:50:41 time: 0.9330 data_time: 0.0321 memory: 11089 grad_norm: 4.0178 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0629 loss: 2.0629 2022/08/01 18:56:09 - mmengine - INFO - Epoch(train) [12][500/1879] lr: 2.0000e-02 eta: 2 days, 18:50:20 time: 0.9103 data_time: 0.0279 memory: 11089 grad_norm: 4.0214 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0769 loss: 2.0769 2022/08/01 18:56:28 - mmengine - INFO - Epoch(train) [12][520/1879] lr: 2.0000e-02 eta: 2 days, 18:50:02 time: 0.9269 data_time: 0.0305 memory: 11089 grad_norm: 3.9837 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2306 loss: 2.2306 2022/08/01 18:56:46 - mmengine - INFO - Epoch(train) [12][540/1879] lr: 2.0000e-02 eta: 2 days, 18:49:37 time: 0.8967 data_time: 0.0286 memory: 11089 grad_norm: 3.9719 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5056 loss: 2.5056 2022/08/01 18:57:04 - mmengine - INFO - Epoch(train) [12][560/1879] lr: 2.0000e-02 eta: 2 days, 18:49:14 time: 0.9062 data_time: 0.0270 memory: 11089 grad_norm: 3.9088 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9213 loss: 1.9213 2022/08/01 18:57:22 - mmengine - INFO - Epoch(train) [12][580/1879] lr: 2.0000e-02 eta: 2 days, 18:48:47 time: 0.8865 data_time: 0.0216 memory: 11089 grad_norm: 4.0624 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.5243 loss: 2.5243 2022/08/01 18:57:41 - mmengine - INFO - Epoch(train) [12][600/1879] lr: 2.0000e-02 eta: 2 days, 18:48:32 time: 0.9387 data_time: 0.0452 memory: 11089 grad_norm: 4.0051 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.2432 loss: 2.2432 2022/08/01 18:57:59 - mmengine - INFO - Epoch(train) [12][620/1879] lr: 2.0000e-02 eta: 2 days, 18:48:14 time: 0.9211 data_time: 0.0267 memory: 11089 grad_norm: 4.0290 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2216 loss: 2.2216 2022/08/01 18:58:17 - mmengine - INFO - Epoch(train) [12][640/1879] lr: 2.0000e-02 eta: 2 days, 18:47:53 time: 0.9137 data_time: 0.0317 memory: 11089 grad_norm: 4.0971 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2617 loss: 2.2617 2022/08/01 18:58:36 - mmengine - INFO - Epoch(train) [12][660/1879] lr: 2.0000e-02 eta: 2 days, 18:47:31 time: 0.9098 data_time: 0.0242 memory: 11089 grad_norm: 3.9638 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3537 loss: 2.3537 2022/08/01 18:58:54 - mmengine - INFO - Epoch(train) [12][680/1879] lr: 2.0000e-02 eta: 2 days, 18:47:15 time: 0.9343 data_time: 0.0419 memory: 11089 grad_norm: 4.0045 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2973 loss: 2.2973 2022/08/01 18:59:12 - mmengine - INFO - Epoch(train) [12][700/1879] lr: 2.0000e-02 eta: 2 days, 18:46:53 time: 0.9080 data_time: 0.0275 memory: 11089 grad_norm: 4.0467 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.1116 loss: 2.1116 2022/08/01 18:59:31 - mmengine - INFO - Epoch(train) [12][720/1879] lr: 2.0000e-02 eta: 2 days, 18:46:34 time: 0.9178 data_time: 0.0308 memory: 11089 grad_norm: 4.1827 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4979 loss: 2.4979 2022/08/01 18:59:49 - mmengine - INFO - Epoch(train) [12][740/1879] lr: 2.0000e-02 eta: 2 days, 18:46:14 time: 0.9197 data_time: 0.0292 memory: 11089 grad_norm: 4.0483 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.1953 loss: 2.1953 2022/08/01 19:00:08 - mmengine - INFO - Epoch(train) [12][760/1879] lr: 2.0000e-02 eta: 2 days, 18:46:00 time: 0.9406 data_time: 0.0275 memory: 11089 grad_norm: 4.1583 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.2628 loss: 2.2628 2022/08/01 19:00:26 - mmengine - INFO - Epoch(train) [12][780/1879] lr: 2.0000e-02 eta: 2 days, 18:45:41 time: 0.9218 data_time: 0.0362 memory: 11089 grad_norm: 3.9236 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3207 loss: 2.3207 2022/08/01 19:00:45 - mmengine - INFO - Epoch(train) [12][800/1879] lr: 2.0000e-02 eta: 2 days, 18:45:25 time: 0.9305 data_time: 0.0254 memory: 11089 grad_norm: 3.9444 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1478 loss: 2.1478 2022/08/01 19:01:03 - mmengine - INFO - Epoch(train) [12][820/1879] lr: 2.0000e-02 eta: 2 days, 18:45:06 time: 0.9221 data_time: 0.0318 memory: 11089 grad_norm: 4.0403 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3372 loss: 2.3372 2022/08/01 19:01:22 - mmengine - INFO - Epoch(train) [12][840/1879] lr: 2.0000e-02 eta: 2 days, 18:44:48 time: 0.9237 data_time: 0.0288 memory: 11089 grad_norm: 4.0517 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2673 loss: 2.2673 2022/08/01 19:01:40 - mmengine - INFO - Epoch(train) [12][860/1879] lr: 2.0000e-02 eta: 2 days, 18:44:28 time: 0.9174 data_time: 0.0265 memory: 11089 grad_norm: 4.0746 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1701 loss: 2.1701 2022/08/01 19:01:59 - mmengine - INFO - Epoch(train) [12][880/1879] lr: 2.0000e-02 eta: 2 days, 18:44:08 time: 0.9181 data_time: 0.0306 memory: 11089 grad_norm: 3.9704 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3102 loss: 2.3102 2022/08/01 19:02:17 - mmengine - INFO - Epoch(train) [12][900/1879] lr: 2.0000e-02 eta: 2 days, 18:43:47 time: 0.9116 data_time: 0.0281 memory: 11089 grad_norm: 4.0413 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3824 loss: 2.3824 2022/08/01 19:02:35 - mmengine - INFO - Epoch(train) [12][920/1879] lr: 2.0000e-02 eta: 2 days, 18:43:26 time: 0.9126 data_time: 0.0295 memory: 11089 grad_norm: 3.9439 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2794 loss: 2.2794 2022/08/01 19:02:53 - mmengine - INFO - Epoch(train) [12][940/1879] lr: 2.0000e-02 eta: 2 days, 18:43:04 time: 0.9063 data_time: 0.0276 memory: 11089 grad_norm: 4.0199 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.2399 loss: 2.2399 2022/08/01 19:03:11 - mmengine - INFO - Epoch(train) [12][960/1879] lr: 2.0000e-02 eta: 2 days, 18:42:40 time: 0.9001 data_time: 0.0239 memory: 11089 grad_norm: 3.9742 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1581 loss: 2.1581 2022/08/01 19:03:30 - mmengine - INFO - Epoch(train) [12][980/1879] lr: 2.0000e-02 eta: 2 days, 18:42:20 time: 0.9190 data_time: 0.0299 memory: 11089 grad_norm: 4.0144 top1_acc: 0.4375 top5_acc: 0.4375 loss_cls: 2.3038 loss: 2.3038 2022/08/01 19:03:48 - mmengine - INFO - Epoch(train) [12][1000/1879] lr: 2.0000e-02 eta: 2 days, 18:42:00 time: 0.9158 data_time: 0.0269 memory: 11089 grad_norm: 4.0906 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3096 loss: 2.3096 2022/08/01 19:04:06 - mmengine - INFO - Epoch(train) [12][1020/1879] lr: 2.0000e-02 eta: 2 days, 18:41:41 time: 0.9201 data_time: 0.0334 memory: 11089 grad_norm: 3.9200 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1990 loss: 2.1990 2022/08/01 19:04:24 - mmengine - INFO - Epoch(train) [12][1040/1879] lr: 2.0000e-02 eta: 2 days, 18:41:16 time: 0.8967 data_time: 0.0285 memory: 11089 grad_norm: 3.9939 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.4121 loss: 2.4121 2022/08/01 19:04:42 - mmengine - INFO - Epoch(train) [12][1060/1879] lr: 2.0000e-02 eta: 2 days, 18:40:53 time: 0.9008 data_time: 0.0251 memory: 11089 grad_norm: 3.9298 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2080 loss: 2.2080 2022/08/01 19:05:00 - mmengine - INFO - Epoch(train) [12][1080/1879] lr: 2.0000e-02 eta: 2 days, 18:40:32 time: 0.9143 data_time: 0.0346 memory: 11089 grad_norm: 4.0436 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3014 loss: 2.3014 2022/08/01 19:05:19 - mmengine - INFO - Epoch(train) [12][1100/1879] lr: 2.0000e-02 eta: 2 days, 18:40:15 time: 0.9273 data_time: 0.0256 memory: 11089 grad_norm: 3.9962 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.3492 loss: 2.3492 2022/08/01 19:05:38 - mmengine - INFO - Epoch(train) [12][1120/1879] lr: 2.0000e-02 eta: 2 days, 18:39:59 time: 0.9326 data_time: 0.0364 memory: 11089 grad_norm: 3.9877 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.2937 loss: 2.2937 2022/08/01 19:05:56 - mmengine - INFO - Epoch(train) [12][1140/1879] lr: 2.0000e-02 eta: 2 days, 18:39:37 time: 0.9091 data_time: 0.0308 memory: 11089 grad_norm: 3.9772 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1270 loss: 2.1270 2022/08/01 19:06:14 - mmengine - INFO - Epoch(train) [12][1160/1879] lr: 2.0000e-02 eta: 2 days, 18:39:14 time: 0.9029 data_time: 0.0243 memory: 11089 grad_norm: 3.9335 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1031 loss: 2.1031 2022/08/01 19:06:32 - mmengine - INFO - Epoch(train) [12][1180/1879] lr: 2.0000e-02 eta: 2 days, 18:38:51 time: 0.9059 data_time: 0.0276 memory: 11089 grad_norm: 4.0151 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2108 loss: 2.2108 2022/08/01 19:06:50 - mmengine - INFO - Epoch(train) [12][1200/1879] lr: 2.0000e-02 eta: 2 days, 18:38:31 time: 0.9169 data_time: 0.0335 memory: 11089 grad_norm: 4.0618 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2937 loss: 2.2937 2022/08/01 19:07:09 - mmengine - INFO - Epoch(train) [12][1220/1879] lr: 2.0000e-02 eta: 2 days, 18:38:14 time: 0.9265 data_time: 0.0363 memory: 11089 grad_norm: 3.9678 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4067 loss: 2.4067 2022/08/01 19:07:27 - mmengine - INFO - Epoch(train) [12][1240/1879] lr: 2.0000e-02 eta: 2 days, 18:37:56 time: 0.9236 data_time: 0.0307 memory: 11089 grad_norm: 3.8772 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1726 loss: 2.1726 2022/08/01 19:07:46 - mmengine - INFO - Epoch(train) [12][1260/1879] lr: 2.0000e-02 eta: 2 days, 18:37:36 time: 0.9176 data_time: 0.0266 memory: 11089 grad_norm: 3.9888 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2964 loss: 2.2964 2022/08/01 19:08:04 - mmengine - INFO - Epoch(train) [12][1280/1879] lr: 2.0000e-02 eta: 2 days, 18:37:13 time: 0.9025 data_time: 0.0240 memory: 11089 grad_norm: 3.9085 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.2938 loss: 2.2938 2022/08/01 19:08:22 - mmengine - INFO - Epoch(train) [12][1300/1879] lr: 2.0000e-02 eta: 2 days, 18:36:54 time: 0.9207 data_time: 0.0283 memory: 11089 grad_norm: 4.0081 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.2008 loss: 2.2008 2022/08/01 19:08:41 - mmengine - INFO - Epoch(train) [12][1320/1879] lr: 2.0000e-02 eta: 2 days, 18:36:37 time: 0.9313 data_time: 0.0360 memory: 11089 grad_norm: 4.0045 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1911 loss: 2.1911 2022/08/01 19:08:51 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 19:08:59 - mmengine - INFO - Epoch(train) [12][1340/1879] lr: 2.0000e-02 eta: 2 days, 18:36:16 time: 0.9097 data_time: 0.0292 memory: 11089 grad_norm: 3.9915 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2213 loss: 2.2213 2022/08/01 19:09:18 - mmengine - INFO - Epoch(train) [12][1360/1879] lr: 2.0000e-02 eta: 2 days, 18:35:58 time: 0.9282 data_time: 0.0278 memory: 11089 grad_norm: 3.9672 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4714 loss: 2.4714 2022/08/01 19:09:35 - mmengine - INFO - Epoch(train) [12][1380/1879] lr: 2.0000e-02 eta: 2 days, 18:35:33 time: 0.8926 data_time: 0.0245 memory: 11089 grad_norm: 3.8621 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3649 loss: 2.3649 2022/08/01 19:09:54 - mmengine - INFO - Epoch(train) [12][1400/1879] lr: 2.0000e-02 eta: 2 days, 18:35:17 time: 0.9321 data_time: 0.0256 memory: 11089 grad_norm: 3.9123 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.4352 loss: 2.4352 2022/08/01 19:10:12 - mmengine - INFO - Epoch(train) [12][1420/1879] lr: 2.0000e-02 eta: 2 days, 18:34:57 time: 0.9181 data_time: 0.0273 memory: 11089 grad_norm: 3.9267 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2785 loss: 2.2785 2022/08/01 19:10:31 - mmengine - INFO - Epoch(train) [12][1440/1879] lr: 2.0000e-02 eta: 2 days, 18:34:37 time: 0.9150 data_time: 0.0258 memory: 11089 grad_norm: 3.9230 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1922 loss: 2.1922 2022/08/01 19:10:49 - mmengine - INFO - Epoch(train) [12][1460/1879] lr: 2.0000e-02 eta: 2 days, 18:34:12 time: 0.8956 data_time: 0.0297 memory: 11089 grad_norm: 3.9559 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1570 loss: 2.1570 2022/08/01 19:11:07 - mmengine - INFO - Epoch(train) [12][1480/1879] lr: 2.0000e-02 eta: 2 days, 18:33:55 time: 0.9276 data_time: 0.0322 memory: 11089 grad_norm: 3.9908 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2737 loss: 2.2737 2022/08/01 19:11:25 - mmengine - INFO - Epoch(train) [12][1500/1879] lr: 2.0000e-02 eta: 2 days, 18:33:31 time: 0.9013 data_time: 0.0308 memory: 11089 grad_norm: 4.0069 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.3939 loss: 2.3939 2022/08/01 19:11:43 - mmengine - INFO - Epoch(train) [12][1520/1879] lr: 2.0000e-02 eta: 2 days, 18:33:09 time: 0.9069 data_time: 0.0286 memory: 11089 grad_norm: 3.9699 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4620 loss: 2.4620 2022/08/01 19:12:02 - mmengine - INFO - Epoch(train) [12][1540/1879] lr: 2.0000e-02 eta: 2 days, 18:32:50 time: 0.9192 data_time: 0.0359 memory: 11089 grad_norm: 3.8487 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.4629 loss: 2.4629 2022/08/01 19:12:20 - mmengine - INFO - Epoch(train) [12][1560/1879] lr: 2.0000e-02 eta: 2 days, 18:32:29 time: 0.9132 data_time: 0.0265 memory: 11089 grad_norm: 3.8894 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1018 loss: 2.1018 2022/08/01 19:12:38 - mmengine - INFO - Epoch(train) [12][1580/1879] lr: 2.0000e-02 eta: 2 days, 18:32:08 time: 0.9124 data_time: 0.0314 memory: 11089 grad_norm: 3.9756 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2755 loss: 2.2755 2022/08/01 19:12:56 - mmengine - INFO - Epoch(train) [12][1600/1879] lr: 2.0000e-02 eta: 2 days, 18:31:45 time: 0.9024 data_time: 0.0319 memory: 11089 grad_norm: 3.9224 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1082 loss: 2.1082 2022/08/01 19:13:15 - mmengine - INFO - Epoch(train) [12][1620/1879] lr: 2.0000e-02 eta: 2 days, 18:31:29 time: 0.9322 data_time: 0.0306 memory: 11089 grad_norm: 4.0660 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3493 loss: 2.3493 2022/08/01 19:13:33 - mmengine - INFO - Epoch(train) [12][1640/1879] lr: 2.0000e-02 eta: 2 days, 18:31:11 time: 0.9237 data_time: 0.0318 memory: 11089 grad_norm: 3.9329 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4353 loss: 2.4353 2022/08/01 19:13:52 - mmengine - INFO - Epoch(train) [12][1660/1879] lr: 2.0000e-02 eta: 2 days, 18:30:48 time: 0.9053 data_time: 0.0282 memory: 11089 grad_norm: 3.8432 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3028 loss: 2.3028 2022/08/01 19:14:10 - mmengine - INFO - Epoch(train) [12][1680/1879] lr: 2.0000e-02 eta: 2 days, 18:30:29 time: 0.9185 data_time: 0.0238 memory: 11089 grad_norm: 3.9256 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2226 loss: 2.2226 2022/08/01 19:14:28 - mmengine - INFO - Epoch(train) [12][1700/1879] lr: 2.0000e-02 eta: 2 days, 18:30:11 time: 0.9244 data_time: 0.0238 memory: 11089 grad_norm: 3.9150 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2287 loss: 2.2287 2022/08/01 19:14:47 - mmengine - INFO - Epoch(train) [12][1720/1879] lr: 2.0000e-02 eta: 2 days, 18:29:49 time: 0.9070 data_time: 0.0372 memory: 11089 grad_norm: 3.8817 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2823 loss: 2.2823 2022/08/01 19:15:05 - mmengine - INFO - Epoch(train) [12][1740/1879] lr: 2.0000e-02 eta: 2 days, 18:29:30 time: 0.9219 data_time: 0.0264 memory: 11089 grad_norm: 3.9700 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2981 loss: 2.2981 2022/08/01 19:15:24 - mmengine - INFO - Epoch(train) [12][1760/1879] lr: 2.0000e-02 eta: 2 days, 18:29:13 time: 0.9305 data_time: 0.0273 memory: 11089 grad_norm: 3.9606 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.3122 loss: 2.3122 2022/08/01 19:15:42 - mmengine - INFO - Epoch(train) [12][1780/1879] lr: 2.0000e-02 eta: 2 days, 18:28:56 time: 0.9267 data_time: 0.0292 memory: 11089 grad_norm: 3.8586 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3679 loss: 2.3679 2022/08/01 19:16:01 - mmengine - INFO - Epoch(train) [12][1800/1879] lr: 2.0000e-02 eta: 2 days, 18:28:36 time: 0.9184 data_time: 0.0245 memory: 11089 grad_norm: 3.9920 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0784 loss: 2.0784 2022/08/01 19:16:19 - mmengine - INFO - Epoch(train) [12][1820/1879] lr: 2.0000e-02 eta: 2 days, 18:28:15 time: 0.9120 data_time: 0.0243 memory: 11089 grad_norm: 3.9369 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2966 loss: 2.2966 2022/08/01 19:16:37 - mmengine - INFO - Epoch(train) [12][1840/1879] lr: 2.0000e-02 eta: 2 days, 18:27:56 time: 0.9167 data_time: 0.0321 memory: 11089 grad_norm: 4.1098 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0780 loss: 2.0780 2022/08/01 19:16:55 - mmengine - INFO - Epoch(train) [12][1860/1879] lr: 2.0000e-02 eta: 2 days, 18:27:36 time: 0.9195 data_time: 0.0356 memory: 11089 grad_norm: 3.9513 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3611 loss: 2.3611 2022/08/01 19:17:12 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 19:17:12 - mmengine - INFO - Epoch(train) [12][1879/1879] lr: 2.0000e-02 eta: 2 days, 18:27:36 time: 0.8817 data_time: 0.0303 memory: 11089 grad_norm: 3.9975 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.0974 loss: 2.0974 2022/08/01 19:17:12 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/08/01 19:17:35 - mmengine - INFO - Epoch(train) [13][20/1879] lr: 2.0000e-02 eta: 2 days, 18:23:54 time: 0.9892 data_time: 0.1092 memory: 11089 grad_norm: 3.9229 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1392 loss: 2.1392 2022/08/01 19:17:53 - mmengine - INFO - Epoch(train) [13][40/1879] lr: 2.0000e-02 eta: 2 days, 18:23:31 time: 0.9001 data_time: 0.0257 memory: 11089 grad_norm: 3.9753 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3614 loss: 2.3614 2022/08/01 19:18:11 - mmengine - INFO - Epoch(train) [13][60/1879] lr: 2.0000e-02 eta: 2 days, 18:23:08 time: 0.9039 data_time: 0.0299 memory: 11089 grad_norm: 3.9479 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.1197 loss: 2.1197 2022/08/01 19:18:29 - mmengine - INFO - Epoch(train) [13][80/1879] lr: 2.0000e-02 eta: 2 days, 18:22:47 time: 0.9104 data_time: 0.0340 memory: 11089 grad_norm: 3.9125 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2427 loss: 2.2427 2022/08/01 19:18:48 - mmengine - INFO - Epoch(train) [13][100/1879] lr: 2.0000e-02 eta: 2 days, 18:22:33 time: 0.9392 data_time: 0.0411 memory: 11089 grad_norm: 3.9758 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1128 loss: 2.1128 2022/08/01 19:19:06 - mmengine - INFO - Epoch(train) [13][120/1879] lr: 2.0000e-02 eta: 2 days, 18:22:13 time: 0.9150 data_time: 0.0320 memory: 11089 grad_norm: 3.9689 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2441 loss: 2.2441 2022/08/01 19:19:24 - mmengine - INFO - Epoch(train) [13][140/1879] lr: 2.0000e-02 eta: 2 days, 18:21:50 time: 0.9042 data_time: 0.0315 memory: 11089 grad_norm: 3.8678 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9995 loss: 1.9995 2022/08/01 19:19:43 - mmengine - INFO - Epoch(train) [13][160/1879] lr: 2.0000e-02 eta: 2 days, 18:21:32 time: 0.9242 data_time: 0.0281 memory: 11089 grad_norm: 4.0242 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0412 loss: 2.0412 2022/08/01 19:20:01 - mmengine - INFO - Epoch(train) [13][180/1879] lr: 2.0000e-02 eta: 2 days, 18:21:14 time: 0.9205 data_time: 0.0337 memory: 11089 grad_norm: 3.9859 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9760 loss: 1.9760 2022/08/01 19:20:19 - mmengine - INFO - Epoch(train) [13][200/1879] lr: 2.0000e-02 eta: 2 days, 18:20:53 time: 0.9132 data_time: 0.0316 memory: 11089 grad_norm: 3.9909 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1514 loss: 2.1514 2022/08/01 19:20:38 - mmengine - INFO - Epoch(train) [13][220/1879] lr: 2.0000e-02 eta: 2 days, 18:20:34 time: 0.9179 data_time: 0.0289 memory: 11089 grad_norm: 3.9857 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3751 loss: 2.3751 2022/08/01 19:20:56 - mmengine - INFO - Epoch(train) [13][240/1879] lr: 2.0000e-02 eta: 2 days, 18:20:17 time: 0.9272 data_time: 0.0266 memory: 11089 grad_norm: 3.9422 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.4211 loss: 2.4211 2022/08/01 19:21:15 - mmengine - INFO - Epoch(train) [13][260/1879] lr: 2.0000e-02 eta: 2 days, 18:19:58 time: 0.9219 data_time: 0.0280 memory: 11089 grad_norm: 3.9313 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2684 loss: 2.2684 2022/08/01 19:21:33 - mmengine - INFO - Epoch(train) [13][280/1879] lr: 2.0000e-02 eta: 2 days, 18:19:35 time: 0.8999 data_time: 0.0292 memory: 11089 grad_norm: 3.8826 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2436 loss: 2.2436 2022/08/01 19:21:51 - mmengine - INFO - Epoch(train) [13][300/1879] lr: 2.0000e-02 eta: 2 days, 18:19:16 time: 0.9176 data_time: 0.0324 memory: 11089 grad_norm: 3.8108 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1780 loss: 2.1780 2022/08/01 19:22:09 - mmengine - INFO - Epoch(train) [13][320/1879] lr: 2.0000e-02 eta: 2 days, 18:18:57 time: 0.9202 data_time: 0.0260 memory: 11089 grad_norm: 4.0786 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2530 loss: 2.2530 2022/08/01 19:22:28 - mmengine - INFO - Epoch(train) [13][340/1879] lr: 2.0000e-02 eta: 2 days, 18:18:40 time: 0.9295 data_time: 0.0300 memory: 11089 grad_norm: 3.9400 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1602 loss: 2.1602 2022/08/01 19:22:46 - mmengine - INFO - Epoch(train) [13][360/1879] lr: 2.0000e-02 eta: 2 days, 18:18:18 time: 0.9058 data_time: 0.0257 memory: 11089 grad_norm: 3.9741 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.2122 loss: 2.2122 2022/08/01 19:23:04 - mmengine - INFO - Epoch(train) [13][380/1879] lr: 2.0000e-02 eta: 2 days, 18:17:57 time: 0.9096 data_time: 0.0243 memory: 11089 grad_norm: 3.9176 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1031 loss: 2.1031 2022/08/01 19:23:23 - mmengine - INFO - Epoch(train) [13][400/1879] lr: 2.0000e-02 eta: 2 days, 18:17:37 time: 0.9166 data_time: 0.0302 memory: 11089 grad_norm: 3.9338 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2066 loss: 2.2066 2022/08/01 19:23:41 - mmengine - INFO - Epoch(train) [13][420/1879] lr: 2.0000e-02 eta: 2 days, 18:17:15 time: 0.9072 data_time: 0.0294 memory: 11089 grad_norm: 3.8623 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2120 loss: 2.2120 2022/08/01 19:23:59 - mmengine - INFO - Epoch(train) [13][440/1879] lr: 2.0000e-02 eta: 2 days, 18:16:58 time: 0.9250 data_time: 0.0337 memory: 11089 grad_norm: 3.9133 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3698 loss: 2.3698 2022/08/01 19:24:10 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 19:24:17 - mmengine - INFO - Epoch(train) [13][460/1879] lr: 2.0000e-02 eta: 2 days, 18:16:35 time: 0.9016 data_time: 0.0282 memory: 11089 grad_norm: 3.9392 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0983 loss: 2.0983 2022/08/01 19:24:36 - mmengine - INFO - Epoch(train) [13][480/1879] lr: 2.0000e-02 eta: 2 days, 18:16:16 time: 0.9186 data_time: 0.0324 memory: 11089 grad_norm: 3.9564 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2984 loss: 2.2984 2022/08/01 19:24:54 - mmengine - INFO - Epoch(train) [13][500/1879] lr: 2.0000e-02 eta: 2 days, 18:15:58 time: 0.9277 data_time: 0.0335 memory: 11089 grad_norm: 3.9588 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1099 loss: 2.1099 2022/08/01 19:25:12 - mmengine - INFO - Epoch(train) [13][520/1879] lr: 2.0000e-02 eta: 2 days, 18:15:36 time: 0.9056 data_time: 0.0338 memory: 11089 grad_norm: 3.8713 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4234 loss: 2.4234 2022/08/01 19:25:31 - mmengine - INFO - Epoch(train) [13][540/1879] lr: 2.0000e-02 eta: 2 days, 18:15:15 time: 0.9100 data_time: 0.0251 memory: 11089 grad_norm: 3.8600 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0450 loss: 2.0450 2022/08/01 19:25:49 - mmengine - INFO - Epoch(train) [13][560/1879] lr: 2.0000e-02 eta: 2 days, 18:14:56 time: 0.9164 data_time: 0.0362 memory: 11089 grad_norm: 3.9222 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0444 loss: 2.0444 2022/08/01 19:26:07 - mmengine - INFO - Epoch(train) [13][580/1879] lr: 2.0000e-02 eta: 2 days, 18:14:35 time: 0.9129 data_time: 0.0366 memory: 11089 grad_norm: 3.8124 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2042 loss: 2.2042 2022/08/01 19:26:25 - mmengine - INFO - Epoch(train) [13][600/1879] lr: 2.0000e-02 eta: 2 days, 18:14:14 time: 0.9074 data_time: 0.0276 memory: 11089 grad_norm: 4.0044 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1518 loss: 2.1518 2022/08/01 19:26:43 - mmengine - INFO - Epoch(train) [13][620/1879] lr: 2.0000e-02 eta: 2 days, 18:13:51 time: 0.9017 data_time: 0.0299 memory: 11089 grad_norm: 4.0498 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1050 loss: 2.1050 2022/08/01 19:27:02 - mmengine - INFO - Epoch(train) [13][640/1879] lr: 2.0000e-02 eta: 2 days, 18:13:31 time: 0.9142 data_time: 0.0311 memory: 11089 grad_norm: 4.0059 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4600 loss: 2.4600 2022/08/01 19:27:20 - mmengine - INFO - Epoch(train) [13][660/1879] lr: 2.0000e-02 eta: 2 days, 18:13:13 time: 0.9236 data_time: 0.0388 memory: 11089 grad_norm: 4.0467 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0479 loss: 2.0479 2022/08/01 19:27:38 - mmengine - INFO - Epoch(train) [13][680/1879] lr: 2.0000e-02 eta: 2 days, 18:12:49 time: 0.9007 data_time: 0.0254 memory: 11089 grad_norm: 4.0154 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2935 loss: 2.2935 2022/08/01 19:27:56 - mmengine - INFO - Epoch(train) [13][700/1879] lr: 2.0000e-02 eta: 2 days, 18:12:25 time: 0.8923 data_time: 0.0274 memory: 11089 grad_norm: 3.9761 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1808 loss: 2.1808 2022/08/01 19:28:15 - mmengine - INFO - Epoch(train) [13][720/1879] lr: 2.0000e-02 eta: 2 days, 18:12:06 time: 0.9208 data_time: 0.0289 memory: 11089 grad_norm: 4.0831 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0926 loss: 2.0926 2022/08/01 19:28:33 - mmengine - INFO - Epoch(train) [13][740/1879] lr: 2.0000e-02 eta: 2 days, 18:11:52 time: 0.9418 data_time: 0.0367 memory: 11089 grad_norm: 3.8985 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1629 loss: 2.1629 2022/08/01 19:28:52 - mmengine - INFO - Epoch(train) [13][760/1879] lr: 2.0000e-02 eta: 2 days, 18:11:35 time: 0.9299 data_time: 0.0367 memory: 11089 grad_norm: 3.8443 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 2.2293 loss: 2.2293 2022/08/01 19:29:10 - mmengine - INFO - Epoch(train) [13][780/1879] lr: 2.0000e-02 eta: 2 days, 18:11:18 time: 0.9273 data_time: 0.0253 memory: 11089 grad_norm: 3.9356 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.1975 loss: 2.1975 2022/08/01 19:29:29 - mmengine - INFO - Epoch(train) [13][800/1879] lr: 2.0000e-02 eta: 2 days, 18:11:02 time: 0.9335 data_time: 0.0329 memory: 11089 grad_norm: 3.9983 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2161 loss: 2.2161 2022/08/01 19:29:47 - mmengine - INFO - Epoch(train) [13][820/1879] lr: 2.0000e-02 eta: 2 days, 18:10:39 time: 0.8975 data_time: 0.0241 memory: 11089 grad_norm: 3.9647 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0049 loss: 2.0049 2022/08/01 19:30:06 - mmengine - INFO - Epoch(train) [13][840/1879] lr: 2.0000e-02 eta: 2 days, 18:10:23 time: 0.9357 data_time: 0.0337 memory: 11089 grad_norm: 3.9828 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 2.3597 loss: 2.3597 2022/08/01 19:30:24 - mmengine - INFO - Epoch(train) [13][860/1879] lr: 2.0000e-02 eta: 2 days, 18:10:07 time: 0.9321 data_time: 0.0316 memory: 11089 grad_norm: 3.8888 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1278 loss: 2.1278 2022/08/01 19:30:43 - mmengine - INFO - Epoch(train) [13][880/1879] lr: 2.0000e-02 eta: 2 days, 18:09:47 time: 0.9138 data_time: 0.0303 memory: 11089 grad_norm: 3.9204 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9639 loss: 1.9639 2022/08/01 19:31:01 - mmengine - INFO - Epoch(train) [13][900/1879] lr: 2.0000e-02 eta: 2 days, 18:09:26 time: 0.9127 data_time: 0.0274 memory: 11089 grad_norm: 3.9790 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1750 loss: 2.1750 2022/08/01 19:31:20 - mmengine - INFO - Epoch(train) [13][920/1879] lr: 2.0000e-02 eta: 2 days, 18:09:10 time: 0.9326 data_time: 0.0357 memory: 11089 grad_norm: 4.2045 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2177 loss: 2.2177 2022/08/01 19:31:38 - mmengine - INFO - Epoch(train) [13][940/1879] lr: 2.0000e-02 eta: 2 days, 18:08:49 time: 0.9083 data_time: 0.0378 memory: 11089 grad_norm: 3.9499 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1389 loss: 2.1389 2022/08/01 19:31:56 - mmengine - INFO - Epoch(train) [13][960/1879] lr: 2.0000e-02 eta: 2 days, 18:08:27 time: 0.9045 data_time: 0.0323 memory: 11089 grad_norm: 3.9853 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3055 loss: 2.3055 2022/08/01 19:32:15 - mmengine - INFO - Epoch(train) [13][980/1879] lr: 2.0000e-02 eta: 2 days, 18:08:14 time: 0.9450 data_time: 0.0323 memory: 11089 grad_norm: 4.0341 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3830 loss: 2.3830 2022/08/01 19:32:34 - mmengine - INFO - Epoch(train) [13][1000/1879] lr: 2.0000e-02 eta: 2 days, 18:08:02 time: 0.9513 data_time: 0.0337 memory: 11089 grad_norm: 3.9438 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0540 loss: 2.0540 2022/08/01 19:32:52 - mmengine - INFO - Epoch(train) [13][1020/1879] lr: 2.0000e-02 eta: 2 days, 18:07:43 time: 0.9202 data_time: 0.0302 memory: 11089 grad_norm: 3.8397 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1848 loss: 2.1848 2022/08/01 19:33:11 - mmengine - INFO - Epoch(train) [13][1040/1879] lr: 2.0000e-02 eta: 2 days, 18:07:26 time: 0.9274 data_time: 0.0321 memory: 11089 grad_norm: 3.9492 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1176 loss: 2.1176 2022/08/01 19:33:29 - mmengine - INFO - Epoch(train) [13][1060/1879] lr: 2.0000e-02 eta: 2 days, 18:07:02 time: 0.8994 data_time: 0.0338 memory: 11089 grad_norm: 3.9173 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3187 loss: 2.3187 2022/08/01 19:33:47 - mmengine - INFO - Epoch(train) [13][1080/1879] lr: 2.0000e-02 eta: 2 days, 18:06:38 time: 0.8948 data_time: 0.0262 memory: 11089 grad_norm: 4.1056 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.5172 loss: 2.5172 2022/08/01 19:34:05 - mmengine - INFO - Epoch(train) [13][1100/1879] lr: 2.0000e-02 eta: 2 days, 18:06:17 time: 0.9100 data_time: 0.0293 memory: 11089 grad_norm: 3.9819 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9962 loss: 1.9962 2022/08/01 19:34:23 - mmengine - INFO - Epoch(train) [13][1120/1879] lr: 2.0000e-02 eta: 2 days, 18:05:56 time: 0.9115 data_time: 0.0261 memory: 11089 grad_norm: 3.9012 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0833 loss: 2.0833 2022/08/01 19:34:41 - mmengine - INFO - Epoch(train) [13][1140/1879] lr: 2.0000e-02 eta: 2 days, 18:05:37 time: 0.9159 data_time: 0.0290 memory: 11089 grad_norm: 3.9712 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4533 loss: 2.4533 2022/08/01 19:35:00 - mmengine - INFO - Epoch(train) [13][1160/1879] lr: 2.0000e-02 eta: 2 days, 18:05:18 time: 0.9227 data_time: 0.0315 memory: 11089 grad_norm: 3.9500 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.5379 loss: 2.5379 2022/08/01 19:35:18 - mmengine - INFO - Epoch(train) [13][1180/1879] lr: 2.0000e-02 eta: 2 days, 18:04:57 time: 0.9073 data_time: 0.0315 memory: 11089 grad_norm: 3.8728 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1237 loss: 2.1237 2022/08/01 19:35:36 - mmengine - INFO - Epoch(train) [13][1200/1879] lr: 2.0000e-02 eta: 2 days, 18:04:38 time: 0.9217 data_time: 0.0288 memory: 11089 grad_norm: 3.9561 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4071 loss: 2.4071 2022/08/01 19:35:54 - mmengine - INFO - Epoch(train) [13][1220/1879] lr: 2.0000e-02 eta: 2 days, 18:04:14 time: 0.8950 data_time: 0.0221 memory: 11089 grad_norm: 3.9053 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1726 loss: 2.1726 2022/08/01 19:36:12 - mmengine - INFO - Epoch(train) [13][1240/1879] lr: 2.0000e-02 eta: 2 days, 18:03:53 time: 0.9065 data_time: 0.0275 memory: 11089 grad_norm: 3.9618 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1515 loss: 2.1515 2022/08/01 19:36:31 - mmengine - INFO - Epoch(train) [13][1260/1879] lr: 2.0000e-02 eta: 2 days, 18:03:39 time: 0.9428 data_time: 0.0314 memory: 11089 grad_norm: 4.0037 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3368 loss: 2.3368 2022/08/01 19:36:50 - mmengine - INFO - Epoch(train) [13][1280/1879] lr: 2.0000e-02 eta: 2 days, 18:03:21 time: 0.9252 data_time: 0.0281 memory: 11089 grad_norm: 4.0664 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1259 loss: 2.1259 2022/08/01 19:37:08 - mmengine - INFO - Epoch(train) [13][1300/1879] lr: 2.0000e-02 eta: 2 days, 18:02:57 time: 0.8975 data_time: 0.0258 memory: 11089 grad_norm: 3.8882 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1547 loss: 2.1547 2022/08/01 19:37:26 - mmengine - INFO - Epoch(train) [13][1320/1879] lr: 2.0000e-02 eta: 2 days, 18:02:41 time: 0.9304 data_time: 0.0313 memory: 11089 grad_norm: 4.0067 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1819 loss: 2.1819 2022/08/01 19:37:45 - mmengine - INFO - Epoch(train) [13][1340/1879] lr: 2.0000e-02 eta: 2 days, 18:02:26 time: 0.9383 data_time: 0.0384 memory: 11089 grad_norm: 3.9787 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.2121 loss: 2.2121 2022/08/01 19:38:03 - mmengine - INFO - Epoch(train) [13][1360/1879] lr: 2.0000e-02 eta: 2 days, 18:02:06 time: 0.9144 data_time: 0.0332 memory: 11089 grad_norm: 4.0333 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0524 loss: 2.0524 2022/08/01 19:38:22 - mmengine - INFO - Epoch(train) [13][1380/1879] lr: 2.0000e-02 eta: 2 days, 18:01:53 time: 0.9465 data_time: 0.0335 memory: 11089 grad_norm: 3.8971 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3520 loss: 2.3520 2022/08/01 19:38:41 - mmengine - INFO - Epoch(train) [13][1400/1879] lr: 2.0000e-02 eta: 2 days, 18:01:37 time: 0.9324 data_time: 0.0396 memory: 11089 grad_norm: 4.0131 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1944 loss: 2.1944 2022/08/01 19:38:59 - mmengine - INFO - Epoch(train) [13][1420/1879] lr: 2.0000e-02 eta: 2 days, 18:01:18 time: 0.9178 data_time: 0.0276 memory: 11089 grad_norm: 3.9907 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2393 loss: 2.2393 2022/08/01 19:39:18 - mmengine - INFO - Epoch(train) [13][1440/1879] lr: 2.0000e-02 eta: 2 days, 18:00:57 time: 0.9132 data_time: 0.0311 memory: 11089 grad_norm: 3.9248 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1143 loss: 2.1143 2022/08/01 19:39:29 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 19:39:36 - mmengine - INFO - Epoch(train) [13][1460/1879] lr: 2.0000e-02 eta: 2 days, 18:00:37 time: 0.9108 data_time: 0.0345 memory: 11089 grad_norm: 3.8753 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.1592 loss: 2.1592 2022/08/01 19:39:54 - mmengine - INFO - Epoch(train) [13][1480/1879] lr: 2.0000e-02 eta: 2 days, 18:00:16 time: 0.9109 data_time: 0.0325 memory: 11089 grad_norm: 3.8845 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2413 loss: 2.2413 2022/08/01 19:40:12 - mmengine - INFO - Epoch(train) [13][1500/1879] lr: 2.0000e-02 eta: 2 days, 17:59:57 time: 0.9189 data_time: 0.0290 memory: 11089 grad_norm: 3.8600 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.1116 loss: 2.1116 2022/08/01 19:40:31 - mmengine - INFO - Epoch(train) [13][1520/1879] lr: 2.0000e-02 eta: 2 days, 17:59:40 time: 0.9273 data_time: 0.0320 memory: 11089 grad_norm: 4.0188 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2590 loss: 2.2590 2022/08/01 19:40:49 - mmengine - INFO - Epoch(train) [13][1540/1879] lr: 2.0000e-02 eta: 2 days, 17:59:17 time: 0.9005 data_time: 0.0300 memory: 11089 grad_norm: 3.9646 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.2607 loss: 2.2607 2022/08/01 19:41:07 - mmengine - INFO - Epoch(train) [13][1560/1879] lr: 2.0000e-02 eta: 2 days, 17:58:57 time: 0.9139 data_time: 0.0268 memory: 11089 grad_norm: 4.0361 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.3813 loss: 2.3813 2022/08/01 19:41:25 - mmengine - INFO - Epoch(train) [13][1580/1879] lr: 2.0000e-02 eta: 2 days, 17:58:36 time: 0.9137 data_time: 0.0257 memory: 11089 grad_norm: 3.9482 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1598 loss: 2.1598 2022/08/01 19:41:44 - mmengine - INFO - Epoch(train) [13][1600/1879] lr: 2.0000e-02 eta: 2 days, 17:58:18 time: 0.9210 data_time: 0.0283 memory: 11089 grad_norm: 3.9805 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4360 loss: 2.4360 2022/08/01 19:42:03 - mmengine - INFO - Epoch(train) [13][1620/1879] lr: 2.0000e-02 eta: 2 days, 17:58:01 time: 0.9312 data_time: 0.0288 memory: 11089 grad_norm: 3.8829 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1059 loss: 2.1059 2022/08/01 19:42:21 - mmengine - INFO - Epoch(train) [13][1640/1879] lr: 2.0000e-02 eta: 2 days, 17:57:44 time: 0.9282 data_time: 0.0357 memory: 11089 grad_norm: 3.8699 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4172 loss: 2.4172 2022/08/01 19:42:39 - mmengine - INFO - Epoch(train) [13][1660/1879] lr: 2.0000e-02 eta: 2 days, 17:57:24 time: 0.9107 data_time: 0.0271 memory: 11089 grad_norm: 3.7958 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.3419 loss: 2.3419 2022/08/01 19:42:58 - mmengine - INFO - Epoch(train) [13][1680/1879] lr: 2.0000e-02 eta: 2 days, 17:57:08 time: 0.9345 data_time: 0.0314 memory: 11089 grad_norm: 3.9381 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.4263 loss: 2.4263 2022/08/01 19:43:16 - mmengine - INFO - Epoch(train) [13][1700/1879] lr: 2.0000e-02 eta: 2 days, 17:56:47 time: 0.9096 data_time: 0.0246 memory: 11089 grad_norm: 3.9071 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.3842 loss: 2.3842 2022/08/01 19:43:35 - mmengine - INFO - Epoch(train) [13][1720/1879] lr: 2.0000e-02 eta: 2 days, 17:56:28 time: 0.9204 data_time: 0.0265 memory: 11089 grad_norm: 3.8977 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2213 loss: 2.2213 2022/08/01 19:43:53 - mmengine - INFO - Epoch(train) [13][1740/1879] lr: 2.0000e-02 eta: 2 days, 17:56:09 time: 0.9172 data_time: 0.0347 memory: 11089 grad_norm: 3.9890 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1620 loss: 2.1620 2022/08/01 19:44:11 - mmengine - INFO - Epoch(train) [13][1760/1879] lr: 2.0000e-02 eta: 2 days, 17:55:48 time: 0.9086 data_time: 0.0265 memory: 11089 grad_norm: 3.9553 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2930 loss: 2.2930 2022/08/01 19:44:30 - mmengine - INFO - Epoch(train) [13][1780/1879] lr: 2.0000e-02 eta: 2 days, 17:55:29 time: 0.9210 data_time: 0.0321 memory: 11089 grad_norm: 3.8993 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3127 loss: 2.3127 2022/08/01 19:44:48 - mmengine - INFO - Epoch(train) [13][1800/1879] lr: 2.0000e-02 eta: 2 days, 17:55:09 time: 0.9150 data_time: 0.0297 memory: 11089 grad_norm: 3.8236 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1152 loss: 2.1152 2022/08/01 19:45:07 - mmengine - INFO - Epoch(train) [13][1820/1879] lr: 2.0000e-02 eta: 2 days, 17:54:55 time: 0.9392 data_time: 0.0297 memory: 11089 grad_norm: 3.8167 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2749 loss: 2.2749 2022/08/01 19:45:25 - mmengine - INFO - Epoch(train) [13][1840/1879] lr: 2.0000e-02 eta: 2 days, 17:54:38 time: 0.9284 data_time: 0.0328 memory: 11089 grad_norm: 3.9174 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4416 loss: 2.4416 2022/08/01 19:45:44 - mmengine - INFO - Epoch(train) [13][1860/1879] lr: 2.0000e-02 eta: 2 days, 17:54:25 time: 0.9473 data_time: 0.0367 memory: 11089 grad_norm: 3.9940 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3618 loss: 2.3618 2022/08/01 19:46:01 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 19:46:01 - mmengine - INFO - Epoch(train) [13][1879/1879] lr: 2.0000e-02 eta: 2 days, 17:54:25 time: 0.8744 data_time: 0.0261 memory: 11089 grad_norm: 3.9436 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.9798 loss: 1.9798 2022/08/01 19:46:21 - mmengine - INFO - Epoch(train) [14][20/1879] lr: 2.0000e-02 eta: 2 days, 17:51:04 time: 1.0134 data_time: 0.1406 memory: 11089 grad_norm: 3.8818 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2794 loss: 2.2794 2022/08/01 19:46:39 - mmengine - INFO - Epoch(train) [14][40/1879] lr: 2.0000e-02 eta: 2 days, 17:50:41 time: 0.8983 data_time: 0.0296 memory: 11089 grad_norm: 3.9257 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0337 loss: 2.0337 2022/08/01 19:46:57 - mmengine - INFO - Epoch(train) [14][60/1879] lr: 2.0000e-02 eta: 2 days, 17:50:18 time: 0.9026 data_time: 0.0264 memory: 11089 grad_norm: 3.9068 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4046 loss: 2.4046 2022/08/01 19:47:15 - mmengine - INFO - Epoch(train) [14][80/1879] lr: 2.0000e-02 eta: 2 days, 17:49:56 time: 0.9046 data_time: 0.0344 memory: 11089 grad_norm: 3.8375 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.2502 loss: 2.2502 2022/08/01 19:47:33 - mmengine - INFO - Epoch(train) [14][100/1879] lr: 2.0000e-02 eta: 2 days, 17:49:35 time: 0.9058 data_time: 0.0239 memory: 11089 grad_norm: 3.7924 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0366 loss: 2.0366 2022/08/01 19:47:52 - mmengine - INFO - Epoch(train) [14][120/1879] lr: 2.0000e-02 eta: 2 days, 17:49:17 time: 0.9225 data_time: 0.0319 memory: 11089 grad_norm: 4.1504 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0332 loss: 2.0332 2022/08/01 19:48:10 - mmengine - INFO - Epoch(train) [14][140/1879] lr: 2.0000e-02 eta: 2 days, 17:48:59 time: 0.9256 data_time: 0.0385 memory: 11089 grad_norm: 3.8141 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1529 loss: 2.1529 2022/08/01 19:48:28 - mmengine - INFO - Epoch(train) [14][160/1879] lr: 2.0000e-02 eta: 2 days, 17:48:37 time: 0.9035 data_time: 0.0282 memory: 11089 grad_norm: 3.9195 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9538 loss: 1.9538 2022/08/01 19:48:47 - mmengine - INFO - Epoch(train) [14][180/1879] lr: 2.0000e-02 eta: 2 days, 17:48:16 time: 0.9097 data_time: 0.0268 memory: 11089 grad_norm: 3.9767 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2935 loss: 2.2935 2022/08/01 19:49:05 - mmengine - INFO - Epoch(train) [14][200/1879] lr: 2.0000e-02 eta: 2 days, 17:47:55 time: 0.9070 data_time: 0.0247 memory: 11089 grad_norm: 3.8491 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1557 loss: 2.1557 2022/08/01 19:49:24 - mmengine - INFO - Epoch(train) [14][220/1879] lr: 2.0000e-02 eta: 2 days, 17:47:42 time: 0.9470 data_time: 0.0324 memory: 11089 grad_norm: 3.8836 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2881 loss: 2.2881 2022/08/01 19:49:42 - mmengine - INFO - Epoch(train) [14][240/1879] lr: 2.0000e-02 eta: 2 days, 17:47:24 time: 0.9229 data_time: 0.0269 memory: 11089 grad_norm: 3.9135 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3733 loss: 2.3733 2022/08/01 19:50:00 - mmengine - INFO - Epoch(train) [14][260/1879] lr: 2.0000e-02 eta: 2 days, 17:47:01 time: 0.8967 data_time: 0.0239 memory: 11089 grad_norm: 3.9474 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1721 loss: 2.1721 2022/08/01 19:50:18 - mmengine - INFO - Epoch(train) [14][280/1879] lr: 2.0000e-02 eta: 2 days, 17:46:41 time: 0.9129 data_time: 0.0326 memory: 11089 grad_norm: 4.0189 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9429 loss: 1.9429 2022/08/01 19:50:37 - mmengine - INFO - Epoch(train) [14][300/1879] lr: 2.0000e-02 eta: 2 days, 17:46:26 time: 0.9390 data_time: 0.0329 memory: 11089 grad_norm: 3.8882 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3850 loss: 2.3850 2022/08/01 19:50:56 - mmengine - INFO - Epoch(train) [14][320/1879] lr: 2.0000e-02 eta: 2 days, 17:46:11 time: 0.9386 data_time: 0.0418 memory: 11089 grad_norm: 3.8755 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1904 loss: 2.1904 2022/08/01 19:51:15 - mmengine - INFO - Epoch(train) [14][340/1879] lr: 2.0000e-02 eta: 2 days, 17:45:57 time: 0.9390 data_time: 0.0355 memory: 11089 grad_norm: 3.9597 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1475 loss: 2.1475 2022/08/01 19:51:33 - mmengine - INFO - Epoch(train) [14][360/1879] lr: 2.0000e-02 eta: 2 days, 17:45:37 time: 0.9153 data_time: 0.0393 memory: 11089 grad_norm: 3.9573 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2224 loss: 2.2224 2022/08/01 19:51:51 - mmengine - INFO - Epoch(train) [14][380/1879] lr: 2.0000e-02 eta: 2 days, 17:45:19 time: 0.9213 data_time: 0.0301 memory: 11089 grad_norm: 3.8937 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2809 loss: 2.2809 2022/08/01 19:52:10 - mmengine - INFO - Epoch(train) [14][400/1879] lr: 2.0000e-02 eta: 2 days, 17:45:04 time: 0.9387 data_time: 0.0287 memory: 11089 grad_norm: 3.8247 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1456 loss: 2.1456 2022/08/01 19:52:29 - mmengine - INFO - Epoch(train) [14][420/1879] lr: 2.0000e-02 eta: 2 days, 17:44:50 time: 0.9446 data_time: 0.0364 memory: 11089 grad_norm: 4.0260 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1405 loss: 2.1405 2022/08/01 19:52:47 - mmengine - INFO - Epoch(train) [14][440/1879] lr: 2.0000e-02 eta: 2 days, 17:44:27 time: 0.8957 data_time: 0.0249 memory: 11089 grad_norm: 3.9843 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3625 loss: 2.3625 2022/08/01 19:53:05 - mmengine - INFO - Epoch(train) [14][460/1879] lr: 2.0000e-02 eta: 2 days, 17:44:03 time: 0.8970 data_time: 0.0241 memory: 11089 grad_norm: 3.8404 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2067 loss: 2.2067 2022/08/01 19:53:23 - mmengine - INFO - Epoch(train) [14][480/1879] lr: 2.0000e-02 eta: 2 days, 17:43:43 time: 0.9103 data_time: 0.0265 memory: 11089 grad_norm: 3.9084 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3216 loss: 2.3216 2022/08/01 19:53:41 - mmengine - INFO - Epoch(train) [14][500/1879] lr: 2.0000e-02 eta: 2 days, 17:43:23 time: 0.9140 data_time: 0.0338 memory: 11089 grad_norm: 3.9192 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1827 loss: 2.1827 2022/08/01 19:54:00 - mmengine - INFO - Epoch(train) [14][520/1879] lr: 2.0000e-02 eta: 2 days, 17:43:03 time: 0.9130 data_time: 0.0265 memory: 11089 grad_norm: 3.8575 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0224 loss: 2.0224 2022/08/01 19:54:18 - mmengine - INFO - Epoch(train) [14][540/1879] lr: 2.0000e-02 eta: 2 days, 17:42:46 time: 0.9271 data_time: 0.0259 memory: 11089 grad_norm: 3.9413 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1046 loss: 2.1046 2022/08/01 19:54:37 - mmengine - INFO - Epoch(train) [14][560/1879] lr: 2.0000e-02 eta: 2 days, 17:42:29 time: 0.9301 data_time: 0.0364 memory: 11089 grad_norm: 3.8274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9661 loss: 1.9661 2022/08/01 19:54:49 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 19:54:55 - mmengine - INFO - Epoch(train) [14][580/1879] lr: 2.0000e-02 eta: 2 days, 17:42:08 time: 0.9048 data_time: 0.0268 memory: 11089 grad_norm: 3.9355 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2809 loss: 2.2809 2022/08/01 19:55:13 - mmengine - INFO - Epoch(train) [14][600/1879] lr: 2.0000e-02 eta: 2 days, 17:41:50 time: 0.9276 data_time: 0.0339 memory: 11089 grad_norm: 3.9351 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2360 loss: 2.2360 2022/08/01 19:55:32 - mmengine - INFO - Epoch(train) [14][620/1879] lr: 2.0000e-02 eta: 2 days, 17:41:35 time: 0.9345 data_time: 0.0292 memory: 11089 grad_norm: 3.9144 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1257 loss: 2.1257 2022/08/01 19:55:51 - mmengine - INFO - Epoch(train) [14][640/1879] lr: 2.0000e-02 eta: 2 days, 17:41:18 time: 0.9307 data_time: 0.0321 memory: 11089 grad_norm: 3.9597 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1650 loss: 2.1650 2022/08/01 19:56:09 - mmengine - INFO - Epoch(train) [14][660/1879] lr: 2.0000e-02 eta: 2 days, 17:41:02 time: 0.9295 data_time: 0.0422 memory: 11089 grad_norm: 3.9251 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2118 loss: 2.2118 2022/08/01 19:56:28 - mmengine - INFO - Epoch(train) [14][680/1879] lr: 2.0000e-02 eta: 2 days, 17:40:44 time: 0.9243 data_time: 0.0309 memory: 11089 grad_norm: 3.9019 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0992 loss: 2.0992 2022/08/01 19:56:47 - mmengine - INFO - Epoch(train) [14][700/1879] lr: 2.0000e-02 eta: 2 days, 17:40:30 time: 0.9414 data_time: 0.0282 memory: 11089 grad_norm: 3.9866 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.1944 loss: 2.1944 2022/08/01 19:57:05 - mmengine - INFO - Epoch(train) [14][720/1879] lr: 2.0000e-02 eta: 2 days, 17:40:12 time: 0.9217 data_time: 0.0305 memory: 11089 grad_norm: 4.0045 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2054 loss: 2.2054 2022/08/01 19:57:24 - mmengine - INFO - Epoch(train) [14][740/1879] lr: 2.0000e-02 eta: 2 days, 17:39:54 time: 0.9248 data_time: 0.0327 memory: 11089 grad_norm: 4.0730 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4155 loss: 2.4155 2022/08/01 19:57:42 - mmengine - INFO - Epoch(train) [14][760/1879] lr: 2.0000e-02 eta: 2 days, 17:39:33 time: 0.9082 data_time: 0.0290 memory: 11089 grad_norm: 4.0080 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 2.1562 loss: 2.1562 2022/08/01 19:58:00 - mmengine - INFO - Epoch(train) [14][780/1879] lr: 2.0000e-02 eta: 2 days, 17:39:11 time: 0.9021 data_time: 0.0301 memory: 11089 grad_norm: 3.8315 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.0591 loss: 2.0591 2022/08/01 19:58:18 - mmengine - INFO - Epoch(train) [14][800/1879] lr: 2.0000e-02 eta: 2 days, 17:38:52 time: 0.9186 data_time: 0.0294 memory: 11089 grad_norm: 3.9415 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1772 loss: 2.1772 2022/08/01 19:58:36 - mmengine - INFO - Epoch(train) [14][820/1879] lr: 2.0000e-02 eta: 2 days, 17:38:30 time: 0.9047 data_time: 0.0301 memory: 11089 grad_norm: 3.9693 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8398 loss: 1.8398 2022/08/01 19:58:55 - mmengine - INFO - Epoch(train) [14][840/1879] lr: 2.0000e-02 eta: 2 days, 17:38:11 time: 0.9160 data_time: 0.0293 memory: 11089 grad_norm: 3.8901 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2147 loss: 2.2147 2022/08/01 19:59:13 - mmengine - INFO - Epoch(train) [14][860/1879] lr: 2.0000e-02 eta: 2 days, 17:37:51 time: 0.9159 data_time: 0.0355 memory: 11089 grad_norm: 3.8865 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2086 loss: 2.2086 2022/08/01 19:59:31 - mmengine - INFO - Epoch(train) [14][880/1879] lr: 2.0000e-02 eta: 2 days, 17:37:33 time: 0.9244 data_time: 0.0339 memory: 11089 grad_norm: 3.8812 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4221 loss: 2.4221 2022/08/01 19:59:50 - mmengine - INFO - Epoch(train) [14][900/1879] lr: 2.0000e-02 eta: 2 days, 17:37:13 time: 0.9088 data_time: 0.0326 memory: 11089 grad_norm: 3.8957 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2803 loss: 2.2803 2022/08/01 20:00:07 - mmengine - INFO - Epoch(train) [14][920/1879] lr: 2.0000e-02 eta: 2 days, 17:36:49 time: 0.8942 data_time: 0.0271 memory: 11089 grad_norm: 3.8330 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.3271 loss: 2.3271 2022/08/01 20:00:26 - mmengine - INFO - Epoch(train) [14][940/1879] lr: 2.0000e-02 eta: 2 days, 17:36:33 time: 0.9345 data_time: 0.0266 memory: 11089 grad_norm: 3.8895 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0172 loss: 2.0172 2022/08/01 20:00:45 - mmengine - INFO - Epoch(train) [14][960/1879] lr: 2.0000e-02 eta: 2 days, 17:36:16 time: 0.9252 data_time: 0.0296 memory: 11089 grad_norm: 3.8547 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1722 loss: 2.1722 2022/08/01 20:01:03 - mmengine - INFO - Epoch(train) [14][980/1879] lr: 2.0000e-02 eta: 2 days, 17:35:55 time: 0.9124 data_time: 0.0265 memory: 11089 grad_norm: 3.8891 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2484 loss: 2.2484 2022/08/01 20:01:21 - mmengine - INFO - Epoch(train) [14][1000/1879] lr: 2.0000e-02 eta: 2 days, 17:35:35 time: 0.9116 data_time: 0.0269 memory: 11089 grad_norm: 3.9537 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3293 loss: 2.3293 2022/08/01 20:01:39 - mmengine - INFO - Epoch(train) [14][1020/1879] lr: 2.0000e-02 eta: 2 days, 17:35:14 time: 0.9099 data_time: 0.0336 memory: 11089 grad_norm: 3.9219 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2708 loss: 2.2708 2022/08/01 20:01:58 - mmengine - INFO - Epoch(train) [14][1040/1879] lr: 2.0000e-02 eta: 2 days, 17:34:59 time: 0.9333 data_time: 0.0313 memory: 11089 grad_norm: 3.8616 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 2.1333 loss: 2.1333 2022/08/01 20:02:16 - mmengine - INFO - Epoch(train) [14][1060/1879] lr: 2.0000e-02 eta: 2 days, 17:34:37 time: 0.9058 data_time: 0.0264 memory: 11089 grad_norm: 3.8924 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.1710 loss: 2.1710 2022/08/01 20:02:35 - mmengine - INFO - Epoch(train) [14][1080/1879] lr: 2.0000e-02 eta: 2 days, 17:34:19 time: 0.9239 data_time: 0.0329 memory: 11089 grad_norm: 3.8500 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3363 loss: 2.3363 2022/08/01 20:02:53 - mmengine - INFO - Epoch(train) [14][1100/1879] lr: 2.0000e-02 eta: 2 days, 17:34:00 time: 0.9161 data_time: 0.0263 memory: 11089 grad_norm: 3.8571 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2165 loss: 2.2165 2022/08/01 20:03:11 - mmengine - INFO - Epoch(train) [14][1120/1879] lr: 2.0000e-02 eta: 2 days, 17:33:41 time: 0.9167 data_time: 0.0419 memory: 11089 grad_norm: 3.9983 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1931 loss: 2.1931 2022/08/01 20:03:29 - mmengine - INFO - Epoch(train) [14][1140/1879] lr: 2.0000e-02 eta: 2 days, 17:33:18 time: 0.9017 data_time: 0.0258 memory: 11089 grad_norm: 3.9419 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1289 loss: 2.1289 2022/08/01 20:03:48 - mmengine - INFO - Epoch(train) [14][1160/1879] lr: 2.0000e-02 eta: 2 days, 17:33:02 time: 0.9318 data_time: 0.0282 memory: 11089 grad_norm: 4.0488 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3876 loss: 2.3876 2022/08/01 20:04:06 - mmengine - INFO - Epoch(train) [14][1180/1879] lr: 2.0000e-02 eta: 2 days, 17:32:44 time: 0.9239 data_time: 0.0296 memory: 11089 grad_norm: 3.8229 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2639 loss: 2.2639 2022/08/01 20:04:25 - mmengine - INFO - Epoch(train) [14][1200/1879] lr: 2.0000e-02 eta: 2 days, 17:32:26 time: 0.9233 data_time: 0.0269 memory: 11089 grad_norm: 3.8271 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1450 loss: 2.1450 2022/08/01 20:04:43 - mmengine - INFO - Epoch(train) [14][1220/1879] lr: 2.0000e-02 eta: 2 days, 17:32:08 time: 0.9214 data_time: 0.0312 memory: 11089 grad_norm: 3.9546 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.2524 loss: 2.2524 2022/08/01 20:05:01 - mmengine - INFO - Epoch(train) [14][1240/1879] lr: 2.0000e-02 eta: 2 days, 17:31:46 time: 0.9026 data_time: 0.0270 memory: 11089 grad_norm: 3.9330 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.3004 loss: 2.3004 2022/08/01 20:05:20 - mmengine - INFO - Epoch(train) [14][1260/1879] lr: 2.0000e-02 eta: 2 days, 17:31:25 time: 0.9087 data_time: 0.0440 memory: 11089 grad_norm: 3.8465 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.3634 loss: 2.3634 2022/08/01 20:05:38 - mmengine - INFO - Epoch(train) [14][1280/1879] lr: 2.0000e-02 eta: 2 days, 17:31:07 time: 0.9232 data_time: 0.0266 memory: 11089 grad_norm: 3.9069 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9888 loss: 1.9888 2022/08/01 20:05:57 - mmengine - INFO - Epoch(train) [14][1300/1879] lr: 2.0000e-02 eta: 2 days, 17:30:50 time: 0.9264 data_time: 0.0375 memory: 11089 grad_norm: 3.8587 top1_acc: 0.4375 top5_acc: 0.4375 loss_cls: 2.2469 loss: 2.2469 2022/08/01 20:06:15 - mmengine - INFO - Epoch(train) [14][1320/1879] lr: 2.0000e-02 eta: 2 days, 17:30:29 time: 0.9061 data_time: 0.0237 memory: 11089 grad_norm: 3.9154 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0938 loss: 2.0938 2022/08/01 20:06:33 - mmengine - INFO - Epoch(train) [14][1340/1879] lr: 2.0000e-02 eta: 2 days, 17:30:08 time: 0.9103 data_time: 0.0299 memory: 11089 grad_norm: 3.8814 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0771 loss: 2.0771 2022/08/01 20:06:51 - mmengine - INFO - Epoch(train) [14][1360/1879] lr: 2.0000e-02 eta: 2 days, 17:29:50 time: 0.9228 data_time: 0.0284 memory: 11089 grad_norm: 3.8990 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1830 loss: 2.1830 2022/08/01 20:07:10 - mmengine - INFO - Epoch(train) [14][1380/1879] lr: 2.0000e-02 eta: 2 days, 17:29:33 time: 0.9259 data_time: 0.0359 memory: 11089 grad_norm: 3.9570 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2057 loss: 2.2057 2022/08/01 20:07:28 - mmengine - INFO - Epoch(train) [14][1400/1879] lr: 2.0000e-02 eta: 2 days, 17:29:16 time: 0.9274 data_time: 0.0343 memory: 11089 grad_norm: 3.9575 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4228 loss: 2.4228 2022/08/01 20:07:47 - mmengine - INFO - Epoch(train) [14][1420/1879] lr: 2.0000e-02 eta: 2 days, 17:28:56 time: 0.9154 data_time: 0.0282 memory: 11089 grad_norm: 3.9184 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2127 loss: 2.2127 2022/08/01 20:08:05 - mmengine - INFO - Epoch(train) [14][1440/1879] lr: 2.0000e-02 eta: 2 days, 17:28:34 time: 0.9039 data_time: 0.0285 memory: 11089 grad_norm: 3.9117 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2558 loss: 2.2558 2022/08/01 20:08:23 - mmengine - INFO - Epoch(train) [14][1460/1879] lr: 2.0000e-02 eta: 2 days, 17:28:18 time: 0.9316 data_time: 0.0279 memory: 11089 grad_norm: 3.9892 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2270 loss: 2.2270 2022/08/01 20:08:42 - mmengine - INFO - Epoch(train) [14][1480/1879] lr: 2.0000e-02 eta: 2 days, 17:27:59 time: 0.9158 data_time: 0.0327 memory: 11089 grad_norm: 3.9470 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3873 loss: 2.3873 2022/08/01 20:09:00 - mmengine - INFO - Epoch(train) [14][1500/1879] lr: 2.0000e-02 eta: 2 days, 17:27:42 time: 0.9289 data_time: 0.0399 memory: 11089 grad_norm: 3.7244 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0102 loss: 2.0102 2022/08/01 20:09:19 - mmengine - INFO - Epoch(train) [14][1520/1879] lr: 2.0000e-02 eta: 2 days, 17:27:23 time: 0.9203 data_time: 0.0312 memory: 11089 grad_norm: 3.8891 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.0629 loss: 2.0629 2022/08/01 20:09:37 - mmengine - INFO - Epoch(train) [14][1540/1879] lr: 2.0000e-02 eta: 2 days, 17:27:07 time: 0.9309 data_time: 0.0316 memory: 11089 grad_norm: 3.8558 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3215 loss: 2.3215 2022/08/01 20:09:56 - mmengine - INFO - Epoch(train) [14][1560/1879] lr: 2.0000e-02 eta: 2 days, 17:26:48 time: 0.9172 data_time: 0.0292 memory: 11089 grad_norm: 3.9322 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2045 loss: 2.2045 2022/08/01 20:10:08 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 20:10:14 - mmengine - INFO - Epoch(train) [14][1580/1879] lr: 2.0000e-02 eta: 2 days, 17:26:29 time: 0.9182 data_time: 0.0268 memory: 11089 grad_norm: 3.8633 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8990 loss: 1.8990 2022/08/01 20:10:32 - mmengine - INFO - Epoch(train) [14][1600/1879] lr: 2.0000e-02 eta: 2 days, 17:26:07 time: 0.9020 data_time: 0.0249 memory: 11089 grad_norm: 4.0568 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2454 loss: 2.2454 2022/08/01 20:10:51 - mmengine - INFO - Epoch(train) [14][1620/1879] lr: 2.0000e-02 eta: 2 days, 17:25:50 time: 0.9284 data_time: 0.0330 memory: 11089 grad_norm: 3.9603 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0715 loss: 2.0715 2022/08/01 20:11:09 - mmengine - INFO - Epoch(train) [14][1640/1879] lr: 2.0000e-02 eta: 2 days, 17:25:28 time: 0.9021 data_time: 0.0286 memory: 11089 grad_norm: 4.0036 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3423 loss: 2.3423 2022/08/01 20:11:27 - mmengine - INFO - Epoch(train) [14][1660/1879] lr: 2.0000e-02 eta: 2 days, 17:25:06 time: 0.9070 data_time: 0.0283 memory: 11089 grad_norm: 3.9803 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0767 loss: 2.0767 2022/08/01 20:11:45 - mmengine - INFO - Epoch(train) [14][1680/1879] lr: 2.0000e-02 eta: 2 days, 17:24:45 time: 0.9040 data_time: 0.0254 memory: 11089 grad_norm: 3.8570 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0448 loss: 2.0448 2022/08/01 20:12:04 - mmengine - INFO - Epoch(train) [14][1700/1879] lr: 2.0000e-02 eta: 2 days, 17:24:32 time: 0.9496 data_time: 0.0644 memory: 11089 grad_norm: 3.9742 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0608 loss: 2.0608 2022/08/01 20:12:22 - mmengine - INFO - Epoch(train) [14][1720/1879] lr: 2.0000e-02 eta: 2 days, 17:24:12 time: 0.9146 data_time: 0.0303 memory: 11089 grad_norm: 3.8508 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1384 loss: 2.1384 2022/08/01 20:12:41 - mmengine - INFO - Epoch(train) [14][1740/1879] lr: 2.0000e-02 eta: 2 days, 17:23:54 time: 0.9202 data_time: 0.0321 memory: 11089 grad_norm: 3.9445 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2134 loss: 2.2134 2022/08/01 20:12:59 - mmengine - INFO - Epoch(train) [14][1760/1879] lr: 2.0000e-02 eta: 2 days, 17:23:40 time: 0.9428 data_time: 0.0353 memory: 11089 grad_norm: 3.8053 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9995 loss: 1.9995 2022/08/01 20:13:18 - mmengine - INFO - Epoch(train) [14][1780/1879] lr: 2.0000e-02 eta: 2 days, 17:23:19 time: 0.9106 data_time: 0.0208 memory: 11089 grad_norm: 3.9765 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9874 loss: 1.9874 2022/08/01 20:13:36 - mmengine - INFO - Epoch(train) [14][1800/1879] lr: 2.0000e-02 eta: 2 days, 17:23:02 time: 0.9248 data_time: 0.0401 memory: 11089 grad_norm: 3.9122 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9605 loss: 1.9605 2022/08/01 20:13:55 - mmengine - INFO - Epoch(train) [14][1820/1879] lr: 2.0000e-02 eta: 2 days, 17:22:44 time: 0.9234 data_time: 0.0417 memory: 11089 grad_norm: 3.9277 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2838 loss: 2.2838 2022/08/01 20:14:13 - mmengine - INFO - Epoch(train) [14][1840/1879] lr: 2.0000e-02 eta: 2 days, 17:22:28 time: 0.9343 data_time: 0.0282 memory: 11089 grad_norm: 3.9146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1957 loss: 2.1957 2022/08/01 20:14:32 - mmengine - INFO - Epoch(train) [14][1860/1879] lr: 2.0000e-02 eta: 2 days, 17:22:08 time: 0.9149 data_time: 0.0282 memory: 11089 grad_norm: 3.9163 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2532 loss: 2.2532 2022/08/01 20:14:49 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 20:14:49 - mmengine - INFO - Epoch(train) [14][1879/1879] lr: 2.0000e-02 eta: 2 days, 17:22:08 time: 0.8932 data_time: 0.0250 memory: 11089 grad_norm: 3.8629 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.2254 loss: 2.2254 2022/08/01 20:15:09 - mmengine - INFO - Epoch(train) [15][20/1879] lr: 2.0000e-02 eta: 2 days, 17:19:02 time: 1.0193 data_time: 0.1305 memory: 11089 grad_norm: 3.7346 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1720 loss: 2.1720 2022/08/01 20:15:28 - mmengine - INFO - Epoch(train) [15][40/1879] lr: 2.0000e-02 eta: 2 days, 17:18:47 time: 0.9364 data_time: 0.0318 memory: 11089 grad_norm: 3.8890 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.4931 loss: 2.4931 2022/08/01 20:15:46 - mmengine - INFO - Epoch(train) [15][60/1879] lr: 2.0000e-02 eta: 2 days, 17:18:28 time: 0.9210 data_time: 0.0296 memory: 11089 grad_norm: 3.8274 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4298 loss: 2.4298 2022/08/01 20:16:04 - mmengine - INFO - Epoch(train) [15][80/1879] lr: 2.0000e-02 eta: 2 days, 17:18:08 time: 0.9094 data_time: 0.0259 memory: 11089 grad_norm: 3.9104 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2511 loss: 2.2511 2022/08/01 20:16:23 - mmengine - INFO - Epoch(train) [15][100/1879] lr: 2.0000e-02 eta: 2 days, 17:17:51 time: 0.9298 data_time: 0.0362 memory: 11089 grad_norm: 3.8976 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2910 loss: 2.2910 2022/08/01 20:16:41 - mmengine - INFO - Epoch(train) [15][120/1879] lr: 2.0000e-02 eta: 2 days, 17:17:33 time: 0.9213 data_time: 0.0469 memory: 11089 grad_norm: 3.8852 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0766 loss: 2.0766 2022/08/01 20:17:00 - mmengine - INFO - Epoch(train) [15][140/1879] lr: 2.0000e-02 eta: 2 days, 17:17:14 time: 0.9173 data_time: 0.0319 memory: 11089 grad_norm: 3.8752 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1153 loss: 2.1153 2022/08/01 20:17:18 - mmengine - INFO - Epoch(train) [15][160/1879] lr: 2.0000e-02 eta: 2 days, 17:16:56 time: 0.9206 data_time: 0.0297 memory: 11089 grad_norm: 3.8767 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0071 loss: 2.0071 2022/08/01 20:17:37 - mmengine - INFO - Epoch(train) [15][180/1879] lr: 2.0000e-02 eta: 2 days, 17:16:40 time: 0.9318 data_time: 0.0336 memory: 11089 grad_norm: 3.9142 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2504 loss: 2.2504 2022/08/01 20:17:56 - mmengine - INFO - Epoch(train) [15][200/1879] lr: 2.0000e-02 eta: 2 days, 17:16:25 time: 0.9426 data_time: 0.0425 memory: 11089 grad_norm: 3.9995 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.2460 loss: 2.2460 2022/08/01 20:18:14 - mmengine - INFO - Epoch(train) [15][220/1879] lr: 2.0000e-02 eta: 2 days, 17:16:07 time: 0.9195 data_time: 0.0254 memory: 11089 grad_norm: 3.9284 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0029 loss: 2.0029 2022/08/01 20:18:32 - mmengine - INFO - Epoch(train) [15][240/1879] lr: 2.0000e-02 eta: 2 days, 17:15:45 time: 0.9004 data_time: 0.0277 memory: 11089 grad_norm: 3.8704 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7991 loss: 1.7991 2022/08/01 20:18:51 - mmengine - INFO - Epoch(train) [15][260/1879] lr: 2.0000e-02 eta: 2 days, 17:15:27 time: 0.9246 data_time: 0.0277 memory: 11089 grad_norm: 3.9659 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.1233 loss: 2.1233 2022/08/01 20:19:09 - mmengine - INFO - Epoch(train) [15][280/1879] lr: 2.0000e-02 eta: 2 days, 17:15:12 time: 0.9362 data_time: 0.0315 memory: 11089 grad_norm: 3.8893 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8745 loss: 1.8745 2022/08/01 20:19:27 - mmengine - INFO - Epoch(train) [15][300/1879] lr: 2.0000e-02 eta: 2 days, 17:14:51 time: 0.9068 data_time: 0.0283 memory: 11089 grad_norm: 3.9401 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1330 loss: 2.1330 2022/08/01 20:19:46 - mmengine - INFO - Epoch(train) [15][320/1879] lr: 2.0000e-02 eta: 2 days, 17:14:35 time: 0.9359 data_time: 0.0265 memory: 11089 grad_norm: 3.9705 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1509 loss: 2.1509 2022/08/01 20:20:05 - mmengine - INFO - Epoch(train) [15][340/1879] lr: 2.0000e-02 eta: 2 days, 17:14:23 time: 0.9515 data_time: 0.0543 memory: 11089 grad_norm: 4.0320 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3063 loss: 2.3063 2022/08/01 20:20:24 - mmengine - INFO - Epoch(train) [15][360/1879] lr: 2.0000e-02 eta: 2 days, 17:14:06 time: 0.9288 data_time: 0.0344 memory: 11089 grad_norm: 3.8522 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2409 loss: 2.2409 2022/08/01 20:20:42 - mmengine - INFO - Epoch(train) [15][380/1879] lr: 2.0000e-02 eta: 2 days, 17:13:47 time: 0.9181 data_time: 0.0418 memory: 11089 grad_norm: 3.8557 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0284 loss: 2.0284 2022/08/01 20:21:01 - mmengine - INFO - Epoch(train) [15][400/1879] lr: 2.0000e-02 eta: 2 days, 17:13:34 time: 0.9479 data_time: 0.0318 memory: 11089 grad_norm: 4.0352 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9960 loss: 1.9960 2022/08/01 20:21:19 - mmengine - INFO - Epoch(train) [15][420/1879] lr: 2.0000e-02 eta: 2 days, 17:13:14 time: 0.9101 data_time: 0.0314 memory: 11089 grad_norm: 3.9548 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2165 loss: 2.2165 2022/08/01 20:21:38 - mmengine - INFO - Epoch(train) [15][440/1879] lr: 2.0000e-02 eta: 2 days, 17:12:57 time: 0.9277 data_time: 0.0301 memory: 11089 grad_norm: 3.9531 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1994 loss: 2.1994 2022/08/01 20:21:56 - mmengine - INFO - Epoch(train) [15][460/1879] lr: 2.0000e-02 eta: 2 days, 17:12:38 time: 0.9175 data_time: 0.0266 memory: 11089 grad_norm: 3.8673 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.3066 loss: 2.3066 2022/08/01 20:22:14 - mmengine - INFO - Epoch(train) [15][480/1879] lr: 2.0000e-02 eta: 2 days, 17:12:16 time: 0.9024 data_time: 0.0310 memory: 11089 grad_norm: 3.8543 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0591 loss: 2.0591 2022/08/01 20:22:33 - mmengine - INFO - Epoch(train) [15][500/1879] lr: 2.0000e-02 eta: 2 days, 17:11:56 time: 0.9135 data_time: 0.0266 memory: 11089 grad_norm: 3.8584 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1677 loss: 2.1677 2022/08/01 20:22:51 - mmengine - INFO - Epoch(train) [15][520/1879] lr: 2.0000e-02 eta: 2 days, 17:11:37 time: 0.9155 data_time: 0.0306 memory: 11089 grad_norm: 3.8809 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1065 loss: 2.1065 2022/08/01 20:23:09 - mmengine - INFO - Epoch(train) [15][540/1879] lr: 2.0000e-02 eta: 2 days, 17:11:19 time: 0.9242 data_time: 0.0266 memory: 11089 grad_norm: 3.9332 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1966 loss: 2.1966 2022/08/01 20:23:28 - mmengine - INFO - Epoch(train) [15][560/1879] lr: 2.0000e-02 eta: 2 days, 17:11:02 time: 0.9250 data_time: 0.0302 memory: 11089 grad_norm: 3.9621 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3252 loss: 2.3252 2022/08/01 20:23:47 - mmengine - INFO - Epoch(train) [15][580/1879] lr: 2.0000e-02 eta: 2 days, 17:10:47 time: 0.9388 data_time: 0.0318 memory: 11089 grad_norm: 3.8981 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1769 loss: 2.1769 2022/08/01 20:24:05 - mmengine - INFO - Epoch(train) [15][600/1879] lr: 2.0000e-02 eta: 2 days, 17:10:28 time: 0.9192 data_time: 0.0244 memory: 11089 grad_norm: 3.8505 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.2000 loss: 2.2000 2022/08/01 20:24:23 - mmengine - INFO - Epoch(train) [15][620/1879] lr: 2.0000e-02 eta: 2 days, 17:10:08 time: 0.9120 data_time: 0.0265 memory: 11089 grad_norm: 3.9006 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1732 loss: 2.1732 2022/08/01 20:24:42 - mmengine - INFO - Epoch(train) [15][640/1879] lr: 2.0000e-02 eta: 2 days, 17:09:49 time: 0.9162 data_time: 0.0308 memory: 11089 grad_norm: 3.8203 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9827 loss: 1.9827 2022/08/01 20:25:00 - mmengine - INFO - Epoch(train) [15][660/1879] lr: 2.0000e-02 eta: 2 days, 17:09:28 time: 0.9041 data_time: 0.0263 memory: 11089 grad_norm: 3.8786 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2595 loss: 2.2595 2022/08/01 20:25:18 - mmengine - INFO - Epoch(train) [15][680/1879] lr: 2.0000e-02 eta: 2 days, 17:09:10 time: 0.9237 data_time: 0.0367 memory: 11089 grad_norm: 3.9101 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2256 loss: 2.2256 2022/08/01 20:25:31 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 20:25:37 - mmengine - INFO - Epoch(train) [15][700/1879] lr: 2.0000e-02 eta: 2 days, 17:08:53 time: 0.9304 data_time: 0.0260 memory: 11089 grad_norm: 3.9459 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2644 loss: 2.2644 2022/08/01 20:25:55 - mmengine - INFO - Epoch(train) [15][720/1879] lr: 2.0000e-02 eta: 2 days, 17:08:35 time: 0.9220 data_time: 0.0297 memory: 11089 grad_norm: 3.9260 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1401 loss: 2.1401 2022/08/01 20:26:14 - mmengine - INFO - Epoch(train) [15][740/1879] lr: 2.0000e-02 eta: 2 days, 17:08:18 time: 0.9269 data_time: 0.0317 memory: 11089 grad_norm: 3.8982 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1744 loss: 2.1744 2022/08/01 20:26:32 - mmengine - INFO - Epoch(train) [15][760/1879] lr: 2.0000e-02 eta: 2 days, 17:08:01 time: 0.9281 data_time: 0.0326 memory: 11089 grad_norm: 3.7995 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3439 loss: 2.3439 2022/08/01 20:26:51 - mmengine - INFO - Epoch(train) [15][780/1879] lr: 2.0000e-02 eta: 2 days, 17:07:43 time: 0.9232 data_time: 0.0236 memory: 11089 grad_norm: 3.8103 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0454 loss: 2.0454 2022/08/01 20:27:09 - mmengine - INFO - Epoch(train) [15][800/1879] lr: 2.0000e-02 eta: 2 days, 17:07:23 time: 0.9115 data_time: 0.0282 memory: 11089 grad_norm: 3.9044 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3021 loss: 2.3021 2022/08/01 20:27:29 - mmengine - INFO - Epoch(train) [15][820/1879] lr: 2.0000e-02 eta: 2 days, 17:07:18 time: 0.9911 data_time: 0.1067 memory: 11089 grad_norm: 3.9776 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4229 loss: 2.4229 2022/08/01 20:27:47 - mmengine - INFO - Epoch(train) [15][840/1879] lr: 2.0000e-02 eta: 2 days, 17:07:01 time: 0.9290 data_time: 0.0333 memory: 11089 grad_norm: 3.8545 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1830 loss: 2.1830 2022/08/01 20:28:06 - mmengine - INFO - Epoch(train) [15][860/1879] lr: 2.0000e-02 eta: 2 days, 17:06:44 time: 0.9234 data_time: 0.0242 memory: 11089 grad_norm: 3.9195 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1280 loss: 2.1280 2022/08/01 20:28:24 - mmengine - INFO - Epoch(train) [15][880/1879] lr: 2.0000e-02 eta: 2 days, 17:06:24 time: 0.9129 data_time: 0.0288 memory: 11089 grad_norm: 3.9159 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1647 loss: 2.1647 2022/08/01 20:28:43 - mmengine - INFO - Epoch(train) [15][900/1879] lr: 2.0000e-02 eta: 2 days, 17:06:14 time: 0.9689 data_time: 0.0889 memory: 11089 grad_norm: 4.0065 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2225 loss: 2.2225 2022/08/01 20:29:02 - mmengine - INFO - Epoch(train) [15][920/1879] lr: 2.0000e-02 eta: 2 days, 17:05:54 time: 0.9088 data_time: 0.0246 memory: 11089 grad_norm: 3.8842 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.2516 loss: 2.2516 2022/08/01 20:29:20 - mmengine - INFO - Epoch(train) [15][940/1879] lr: 2.0000e-02 eta: 2 days, 17:05:36 time: 0.9230 data_time: 0.0323 memory: 11089 grad_norm: 3.9381 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1246 loss: 2.1246 2022/08/01 20:29:38 - mmengine - INFO - Epoch(train) [15][960/1879] lr: 2.0000e-02 eta: 2 days, 17:05:17 time: 0.9173 data_time: 0.0300 memory: 11089 grad_norm: 3.8715 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0176 loss: 2.0176 2022/08/01 20:29:57 - mmengine - INFO - Epoch(train) [15][980/1879] lr: 2.0000e-02 eta: 2 days, 17:04:57 time: 0.9095 data_time: 0.0290 memory: 11089 grad_norm: 4.0309 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3832 loss: 2.3832 2022/08/01 20:30:16 - mmengine - INFO - Epoch(train) [15][1000/1879] lr: 2.0000e-02 eta: 2 days, 17:04:43 time: 0.9441 data_time: 0.0358 memory: 11089 grad_norm: 3.9091 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0688 loss: 2.0688 2022/08/01 20:30:34 - mmengine - INFO - Epoch(train) [15][1020/1879] lr: 2.0000e-02 eta: 2 days, 17:04:21 time: 0.9035 data_time: 0.0271 memory: 11089 grad_norm: 3.8708 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0676 loss: 2.0676 2022/08/01 20:30:52 - mmengine - INFO - Epoch(train) [15][1040/1879] lr: 2.0000e-02 eta: 2 days, 17:04:01 time: 0.9139 data_time: 0.0334 memory: 11089 grad_norm: 3.9383 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2955 loss: 2.2955 2022/08/01 20:31:10 - mmengine - INFO - Epoch(train) [15][1060/1879] lr: 2.0000e-02 eta: 2 days, 17:03:43 time: 0.9199 data_time: 0.0329 memory: 11089 grad_norm: 3.8996 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0267 loss: 2.0267 2022/08/01 20:31:29 - mmengine - INFO - Epoch(train) [15][1080/1879] lr: 2.0000e-02 eta: 2 days, 17:03:24 time: 0.9201 data_time: 0.0349 memory: 11089 grad_norm: 3.8209 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.9801 loss: 1.9801 2022/08/01 20:31:47 - mmengine - INFO - Epoch(train) [15][1100/1879] lr: 2.0000e-02 eta: 2 days, 17:03:06 time: 0.9214 data_time: 0.0297 memory: 11089 grad_norm: 3.8218 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1246 loss: 2.1246 2022/08/01 20:32:05 - mmengine - INFO - Epoch(train) [15][1120/1879] lr: 2.0000e-02 eta: 2 days, 17:02:46 time: 0.9108 data_time: 0.0285 memory: 11089 grad_norm: 3.8112 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1856 loss: 2.1856 2022/08/01 20:32:23 - mmengine - INFO - Epoch(train) [15][1140/1879] lr: 2.0000e-02 eta: 2 days, 17:02:24 time: 0.9031 data_time: 0.0261 memory: 11089 grad_norm: 3.9261 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1754 loss: 2.1754 2022/08/01 20:32:42 - mmengine - INFO - Epoch(train) [15][1160/1879] lr: 2.0000e-02 eta: 2 days, 17:02:11 time: 0.9459 data_time: 0.0330 memory: 11089 grad_norm: 3.8662 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1670 loss: 2.1670 2022/08/01 20:33:01 - mmengine - INFO - Epoch(train) [15][1180/1879] lr: 2.0000e-02 eta: 2 days, 17:01:50 time: 0.9099 data_time: 0.0290 memory: 11089 grad_norm: 3.8355 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2237 loss: 2.2237 2022/08/01 20:33:19 - mmengine - INFO - Epoch(train) [15][1200/1879] lr: 2.0000e-02 eta: 2 days, 17:01:29 time: 0.9040 data_time: 0.0255 memory: 11089 grad_norm: 3.8987 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2516 loss: 2.2516 2022/08/01 20:33:37 - mmengine - INFO - Epoch(train) [15][1220/1879] lr: 2.0000e-02 eta: 2 days, 17:01:09 time: 0.9137 data_time: 0.0257 memory: 11089 grad_norm: 3.9084 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2173 loss: 2.2173 2022/08/01 20:33:55 - mmengine - INFO - Epoch(train) [15][1240/1879] lr: 2.0000e-02 eta: 2 days, 17:00:50 time: 0.9154 data_time: 0.0290 memory: 11089 grad_norm: 3.9945 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1625 loss: 2.1625 2022/08/01 20:34:13 - mmengine - INFO - Epoch(train) [15][1260/1879] lr: 2.0000e-02 eta: 2 days, 17:00:30 time: 0.9112 data_time: 0.0359 memory: 11089 grad_norm: 3.8220 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.0333 loss: 2.0333 2022/08/01 20:34:32 - mmengine - INFO - Epoch(train) [15][1280/1879] lr: 2.0000e-02 eta: 2 days, 17:00:11 time: 0.9199 data_time: 0.0285 memory: 11089 grad_norm: 3.9137 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.2449 loss: 2.2449 2022/08/01 20:34:50 - mmengine - INFO - Epoch(train) [15][1300/1879] lr: 2.0000e-02 eta: 2 days, 16:59:55 time: 0.9321 data_time: 0.0326 memory: 11089 grad_norm: 3.9585 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2401 loss: 2.2401 2022/08/01 20:35:09 - mmengine - INFO - Epoch(train) [15][1320/1879] lr: 2.0000e-02 eta: 2 days, 16:59:37 time: 0.9194 data_time: 0.0290 memory: 11089 grad_norm: 3.9219 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0853 loss: 2.0853 2022/08/01 20:35:27 - mmengine - INFO - Epoch(train) [15][1340/1879] lr: 2.0000e-02 eta: 2 days, 16:59:16 time: 0.9106 data_time: 0.0267 memory: 11089 grad_norm: 3.9283 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0800 loss: 2.0800 2022/08/01 20:35:46 - mmengine - INFO - Epoch(train) [15][1360/1879] lr: 2.0000e-02 eta: 2 days, 16:59:02 time: 0.9426 data_time: 0.0296 memory: 11089 grad_norm: 3.8748 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1914 loss: 2.1914 2022/08/01 20:36:04 - mmengine - INFO - Epoch(train) [15][1380/1879] lr: 2.0000e-02 eta: 2 days, 16:58:40 time: 0.8990 data_time: 0.0251 memory: 11089 grad_norm: 3.8813 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0599 loss: 2.0599 2022/08/01 20:36:22 - mmengine - INFO - Epoch(train) [15][1400/1879] lr: 2.0000e-02 eta: 2 days, 16:58:19 time: 0.9068 data_time: 0.0262 memory: 11089 grad_norm: 3.8763 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1910 loss: 2.1910 2022/08/01 20:36:40 - mmengine - INFO - Epoch(train) [15][1420/1879] lr: 2.0000e-02 eta: 2 days, 16:57:58 time: 0.9093 data_time: 0.0264 memory: 11089 grad_norm: 3.8586 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2309 loss: 2.2309 2022/08/01 20:36:58 - mmengine - INFO - Epoch(train) [15][1440/1879] lr: 2.0000e-02 eta: 2 days, 16:57:38 time: 0.9093 data_time: 0.0325 memory: 11089 grad_norm: 3.7869 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2525 loss: 2.2525 2022/08/01 20:37:17 - mmengine - INFO - Epoch(train) [15][1460/1879] lr: 2.0000e-02 eta: 2 days, 16:57:17 time: 0.9077 data_time: 0.0246 memory: 11089 grad_norm: 3.9057 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1449 loss: 2.1449 2022/08/01 20:37:35 - mmengine - INFO - Epoch(train) [15][1480/1879] lr: 2.0000e-02 eta: 2 days, 16:56:59 time: 0.9200 data_time: 0.0243 memory: 11089 grad_norm: 4.0065 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.1475 loss: 2.1475 2022/08/01 20:37:53 - mmengine - INFO - Epoch(train) [15][1500/1879] lr: 2.0000e-02 eta: 2 days, 16:56:38 time: 0.9091 data_time: 0.0263 memory: 11089 grad_norm: 3.9695 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2315 loss: 2.2315 2022/08/01 20:38:11 - mmengine - INFO - Epoch(train) [15][1520/1879] lr: 2.0000e-02 eta: 2 days, 16:56:18 time: 0.9082 data_time: 0.0280 memory: 11089 grad_norm: 3.8980 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9796 loss: 1.9796 2022/08/01 20:38:29 - mmengine - INFO - Epoch(train) [15][1540/1879] lr: 2.0000e-02 eta: 2 days, 16:55:56 time: 0.9021 data_time: 0.0308 memory: 11089 grad_norm: 3.8476 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2298 loss: 2.2298 2022/08/01 20:38:48 - mmengine - INFO - Epoch(train) [15][1560/1879] lr: 2.0000e-02 eta: 2 days, 16:55:36 time: 0.9097 data_time: 0.0268 memory: 11089 grad_norm: 3.9213 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5438 loss: 2.5438 2022/08/01 20:39:06 - mmengine - INFO - Epoch(train) [15][1580/1879] lr: 2.0000e-02 eta: 2 days, 16:55:17 time: 0.9179 data_time: 0.0260 memory: 11089 grad_norm: 3.8396 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3150 loss: 2.3150 2022/08/01 20:39:24 - mmengine - INFO - Epoch(train) [15][1600/1879] lr: 2.0000e-02 eta: 2 days, 16:54:59 time: 0.9226 data_time: 0.0328 memory: 11089 grad_norm: 3.8086 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2969 loss: 2.2969 2022/08/01 20:39:42 - mmengine - INFO - Epoch(train) [15][1620/1879] lr: 2.0000e-02 eta: 2 days, 16:54:36 time: 0.8989 data_time: 0.0261 memory: 11089 grad_norm: 3.9708 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3822 loss: 2.3822 2022/08/01 20:40:00 - mmengine - INFO - Epoch(train) [15][1640/1879] lr: 2.0000e-02 eta: 2 days, 16:54:14 time: 0.9000 data_time: 0.0260 memory: 11089 grad_norm: 3.8955 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2224 loss: 2.2224 2022/08/01 20:40:19 - mmengine - INFO - Epoch(train) [15][1660/1879] lr: 2.0000e-02 eta: 2 days, 16:53:54 time: 0.9111 data_time: 0.0243 memory: 11089 grad_norm: 3.8132 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0238 loss: 2.0238 2022/08/01 20:40:37 - mmengine - INFO - Epoch(train) [15][1680/1879] lr: 2.0000e-02 eta: 2 days, 16:53:33 time: 0.9062 data_time: 0.0286 memory: 11089 grad_norm: 3.9041 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0676 loss: 2.0676 2022/08/01 20:40:50 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 20:40:55 - mmengine - INFO - Epoch(train) [15][1700/1879] lr: 2.0000e-02 eta: 2 days, 16:53:14 time: 0.9138 data_time: 0.0309 memory: 11089 grad_norm: 3.7965 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0720 loss: 2.0720 2022/08/01 20:41:13 - mmengine - INFO - Epoch(train) [15][1720/1879] lr: 2.0000e-02 eta: 2 days, 16:52:55 time: 0.9208 data_time: 0.0262 memory: 11089 grad_norm: 3.8599 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2787 loss: 2.2787 2022/08/01 20:41:32 - mmengine - INFO - Epoch(train) [15][1740/1879] lr: 2.0000e-02 eta: 2 days, 16:52:35 time: 0.9109 data_time: 0.0321 memory: 11089 grad_norm: 3.8842 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2227 loss: 2.2227 2022/08/01 20:41:50 - mmengine - INFO - Epoch(train) [15][1760/1879] lr: 2.0000e-02 eta: 2 days, 16:52:22 time: 0.9455 data_time: 0.0335 memory: 11089 grad_norm: 3.8999 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1494 loss: 2.1494 2022/08/01 20:42:09 - mmengine - INFO - Epoch(train) [15][1780/1879] lr: 2.0000e-02 eta: 2 days, 16:52:03 time: 0.9190 data_time: 0.0233 memory: 11089 grad_norm: 3.8123 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1933 loss: 2.1933 2022/08/01 20:42:27 - mmengine - INFO - Epoch(train) [15][1800/1879] lr: 2.0000e-02 eta: 2 days, 16:51:46 time: 0.9303 data_time: 0.0252 memory: 11089 grad_norm: 3.8605 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0397 loss: 2.0397 2022/08/01 20:42:46 - mmengine - INFO - Epoch(train) [15][1820/1879] lr: 2.0000e-02 eta: 2 days, 16:51:25 time: 0.9065 data_time: 0.0312 memory: 11089 grad_norm: 3.8516 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2898 loss: 2.2898 2022/08/01 20:43:04 - mmengine - INFO - Epoch(train) [15][1840/1879] lr: 2.0000e-02 eta: 2 days, 16:51:06 time: 0.9118 data_time: 0.0301 memory: 11089 grad_norm: 3.8580 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1392 loss: 2.1392 2022/08/01 20:43:22 - mmengine - INFO - Epoch(train) [15][1860/1879] lr: 2.0000e-02 eta: 2 days, 16:50:47 time: 0.9213 data_time: 0.0319 memory: 11089 grad_norm: 3.9316 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2644 loss: 2.2644 2022/08/01 20:43:39 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 20:43:39 - mmengine - INFO - Epoch(train) [15][1879/1879] lr: 2.0000e-02 eta: 2 days, 16:50:47 time: 0.8997 data_time: 0.0345 memory: 11089 grad_norm: 4.0284 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.3783 loss: 2.3783 2022/08/01 20:43:48 - mmengine - INFO - Epoch(val) [15][20/155] eta: 0:00:57 time: 0.4244 data_time: 0.1098 memory: 1950 2022/08/01 20:43:54 - mmengine - INFO - Epoch(val) [15][40/155] eta: 0:00:37 time: 0.3254 data_time: 0.0101 memory: 1950 2022/08/01 20:44:01 - mmengine - INFO - Epoch(val) [15][60/155] eta: 0:00:31 time: 0.3313 data_time: 0.0131 memory: 1950 2022/08/01 20:44:08 - mmengine - INFO - Epoch(val) [15][80/155] eta: 0:00:24 time: 0.3304 data_time: 0.0116 memory: 1950 2022/08/01 20:44:14 - mmengine - INFO - Epoch(val) [15][100/155] eta: 0:00:17 time: 0.3269 data_time: 0.0119 memory: 1950 2022/08/01 20:44:21 - mmengine - INFO - Epoch(val) [15][120/155] eta: 0:00:11 time: 0.3316 data_time: 0.0130 memory: 1950 2022/08/01 20:44:29 - mmengine - INFO - Epoch(val) [15][140/155] eta: 0:00:05 time: 0.3837 data_time: 0.0102 memory: 1950 2022/08/01 20:44:36 - mmengine - INFO - Epoch(val) [15][155/155] acc/top1: 0.5728 acc/top5: 0.8134 acc/mean1: 0.5728 2022/08/01 20:44:36 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb/best_acc/top1_epoch_11.pth is removed 2022/08/01 20:44:37 - mmengine - INFO - The best checkpoint with 0.5728 acc/top1 at 16 epoch is saved to best_acc/top1_epoch_16.pth. 2022/08/01 20:44:58 - mmengine - INFO - Epoch(train) [16][20/1879] lr: 2.0000e-02 eta: 2 days, 16:47:51 time: 1.0144 data_time: 0.1224 memory: 11089 grad_norm: 3.8647 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9615 loss: 1.9615 2022/08/01 20:45:16 - mmengine - INFO - Epoch(train) [16][40/1879] lr: 2.0000e-02 eta: 2 days, 16:47:34 time: 0.9291 data_time: 0.0404 memory: 11089 grad_norm: 3.9078 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3183 loss: 2.3183 2022/08/01 20:45:34 - mmengine - INFO - Epoch(train) [16][60/1879] lr: 2.0000e-02 eta: 2 days, 16:47:14 time: 0.9089 data_time: 0.0334 memory: 11089 grad_norm: 3.8638 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1531 loss: 2.1531 2022/08/01 20:45:53 - mmengine - INFO - Epoch(train) [16][80/1879] lr: 2.0000e-02 eta: 2 days, 16:47:00 time: 0.9454 data_time: 0.0383 memory: 11089 grad_norm: 3.7989 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2422 loss: 2.2422 2022/08/01 20:46:12 - mmengine - INFO - Epoch(train) [16][100/1879] lr: 2.0000e-02 eta: 2 days, 16:46:42 time: 0.9213 data_time: 0.0371 memory: 11089 grad_norm: 3.8319 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0452 loss: 2.0452 2022/08/01 20:46:30 - mmengine - INFO - Epoch(train) [16][120/1879] lr: 2.0000e-02 eta: 2 days, 16:46:23 time: 0.9146 data_time: 0.0315 memory: 11089 grad_norm: 3.7095 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8974 loss: 1.8974 2022/08/01 20:46:49 - mmengine - INFO - Epoch(train) [16][140/1879] lr: 2.0000e-02 eta: 2 days, 16:46:06 time: 0.9287 data_time: 0.0285 memory: 11089 grad_norm: 3.8381 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.2290 loss: 2.2290 2022/08/01 20:47:07 - mmengine - INFO - Epoch(train) [16][160/1879] lr: 2.0000e-02 eta: 2 days, 16:45:49 time: 0.9248 data_time: 0.0362 memory: 11089 grad_norm: 3.8539 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3980 loss: 2.3980 2022/08/01 20:47:26 - mmengine - INFO - Epoch(train) [16][180/1879] lr: 2.0000e-02 eta: 2 days, 16:45:31 time: 0.9228 data_time: 0.0261 memory: 11089 grad_norm: 3.8812 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2289 loss: 2.2289 2022/08/01 20:47:44 - mmengine - INFO - Epoch(train) [16][200/1879] lr: 2.0000e-02 eta: 2 days, 16:45:15 time: 0.9361 data_time: 0.0368 memory: 11089 grad_norm: 3.8143 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1102 loss: 2.1102 2022/08/01 20:48:03 - mmengine - INFO - Epoch(train) [16][220/1879] lr: 2.0000e-02 eta: 2 days, 16:45:00 time: 0.9368 data_time: 0.0354 memory: 11089 grad_norm: 3.8541 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0723 loss: 2.0723 2022/08/01 20:48:21 - mmengine - INFO - Epoch(train) [16][240/1879] lr: 2.0000e-02 eta: 2 days, 16:44:39 time: 0.9050 data_time: 0.0350 memory: 11089 grad_norm: 3.9051 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0790 loss: 2.0790 2022/08/01 20:48:40 - mmengine - INFO - Epoch(train) [16][260/1879] lr: 2.0000e-02 eta: 2 days, 16:44:24 time: 0.9377 data_time: 0.0317 memory: 11089 grad_norm: 3.8495 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1144 loss: 2.1144 2022/08/01 20:48:58 - mmengine - INFO - Epoch(train) [16][280/1879] lr: 2.0000e-02 eta: 2 days, 16:44:02 time: 0.9018 data_time: 0.0263 memory: 11089 grad_norm: 3.8782 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0139 loss: 2.0139 2022/08/01 20:49:16 - mmengine - INFO - Epoch(train) [16][300/1879] lr: 2.0000e-02 eta: 2 days, 16:43:43 time: 0.9153 data_time: 0.0274 memory: 11089 grad_norm: 3.8899 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0880 loss: 2.0880 2022/08/01 20:49:34 - mmengine - INFO - Epoch(train) [16][320/1879] lr: 2.0000e-02 eta: 2 days, 16:43:23 time: 0.9093 data_time: 0.0308 memory: 11089 grad_norm: 3.8813 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2443 loss: 2.2443 2022/08/01 20:49:53 - mmengine - INFO - Epoch(train) [16][340/1879] lr: 2.0000e-02 eta: 2 days, 16:43:05 time: 0.9205 data_time: 0.0302 memory: 11089 grad_norm: 3.7745 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3236 loss: 2.3236 2022/08/01 20:50:12 - mmengine - INFO - Epoch(train) [16][360/1879] lr: 2.0000e-02 eta: 2 days, 16:42:53 time: 0.9571 data_time: 0.0426 memory: 11089 grad_norm: 3.8253 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.3062 loss: 2.3062 2022/08/01 20:50:31 - mmengine - INFO - Epoch(train) [16][380/1879] lr: 2.0000e-02 eta: 2 days, 16:42:36 time: 0.9291 data_time: 0.0358 memory: 11089 grad_norm: 3.7967 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.2939 loss: 2.2939 2022/08/01 20:50:49 - mmengine - INFO - Epoch(train) [16][400/1879] lr: 2.0000e-02 eta: 2 days, 16:42:17 time: 0.9136 data_time: 0.0309 memory: 11089 grad_norm: 3.9035 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0272 loss: 2.0272 2022/08/01 20:51:07 - mmengine - INFO - Epoch(train) [16][420/1879] lr: 2.0000e-02 eta: 2 days, 16:41:57 time: 0.9110 data_time: 0.0328 memory: 11089 grad_norm: 3.8609 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2624 loss: 2.2624 2022/08/01 20:51:25 - mmengine - INFO - Epoch(train) [16][440/1879] lr: 2.0000e-02 eta: 2 days, 16:41:37 time: 0.9134 data_time: 0.0287 memory: 11089 grad_norm: 3.9129 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1350 loss: 2.1350 2022/08/01 20:51:43 - mmengine - INFO - Epoch(train) [16][460/1879] lr: 2.0000e-02 eta: 2 days, 16:41:16 time: 0.9044 data_time: 0.0282 memory: 11089 grad_norm: 3.8734 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0920 loss: 2.0920 2022/08/01 20:52:02 - mmengine - INFO - Epoch(train) [16][480/1879] lr: 2.0000e-02 eta: 2 days, 16:40:57 time: 0.9148 data_time: 0.0303 memory: 11089 grad_norm: 3.8547 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9383 loss: 1.9383 2022/08/01 20:52:20 - mmengine - INFO - Epoch(train) [16][500/1879] lr: 2.0000e-02 eta: 2 days, 16:40:40 time: 0.9289 data_time: 0.0314 memory: 11089 grad_norm: 3.8473 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0349 loss: 2.0349 2022/08/01 20:52:39 - mmengine - INFO - Epoch(train) [16][520/1879] lr: 2.0000e-02 eta: 2 days, 16:40:24 time: 0.9337 data_time: 0.0333 memory: 11089 grad_norm: 3.9194 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0199 loss: 2.0199 2022/08/01 20:52:57 - mmengine - INFO - Epoch(train) [16][540/1879] lr: 2.0000e-02 eta: 2 days, 16:40:05 time: 0.9163 data_time: 0.0233 memory: 11089 grad_norm: 3.8844 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2872 loss: 2.2872 2022/08/01 20:53:15 - mmengine - INFO - Epoch(train) [16][560/1879] lr: 2.0000e-02 eta: 2 days, 16:39:43 time: 0.8996 data_time: 0.0301 memory: 11089 grad_norm: 3.9067 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.0310 loss: 2.0310 2022/08/01 20:53:34 - mmengine - INFO - Epoch(train) [16][580/1879] lr: 2.0000e-02 eta: 2 days, 16:39:26 time: 0.9302 data_time: 0.0313 memory: 11089 grad_norm: 3.8421 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0695 loss: 2.0695 2022/08/01 20:53:53 - mmengine - INFO - Epoch(train) [16][600/1879] lr: 2.0000e-02 eta: 2 days, 16:39:12 time: 0.9427 data_time: 0.0414 memory: 11089 grad_norm: 3.8983 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4335 loss: 2.4335 2022/08/01 20:54:11 - mmengine - INFO - Epoch(train) [16][620/1879] lr: 2.0000e-02 eta: 2 days, 16:38:55 time: 0.9249 data_time: 0.0293 memory: 11089 grad_norm: 3.8359 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.2662 loss: 2.2662 2022/08/01 20:54:30 - mmengine - INFO - Epoch(train) [16][640/1879] lr: 2.0000e-02 eta: 2 days, 16:38:37 time: 0.9267 data_time: 0.0353 memory: 11089 grad_norm: 3.7704 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1443 loss: 2.1443 2022/08/01 20:54:49 - mmengine - INFO - Epoch(train) [16][660/1879] lr: 2.0000e-02 eta: 2 days, 16:38:23 time: 0.9394 data_time: 0.0377 memory: 11089 grad_norm: 3.9650 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.1701 loss: 2.1701 2022/08/01 20:55:07 - mmengine - INFO - Epoch(train) [16][680/1879] lr: 2.0000e-02 eta: 2 days, 16:38:06 time: 0.9291 data_time: 0.0347 memory: 11089 grad_norm: 3.8861 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2099 loss: 2.2099 2022/08/01 20:55:25 - mmengine - INFO - Epoch(train) [16][700/1879] lr: 2.0000e-02 eta: 2 days, 16:37:44 time: 0.9031 data_time: 0.0273 memory: 11089 grad_norm: 3.8226 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0542 loss: 2.0542 2022/08/01 20:55:44 - mmengine - INFO - Epoch(train) [16][720/1879] lr: 2.0000e-02 eta: 2 days, 16:37:26 time: 0.9166 data_time: 0.0250 memory: 11089 grad_norm: 3.8804 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1298 loss: 2.1298 2022/08/01 20:56:02 - mmengine - INFO - Epoch(train) [16][740/1879] lr: 2.0000e-02 eta: 2 days, 16:37:07 time: 0.9169 data_time: 0.0299 memory: 11089 grad_norm: 3.9310 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0761 loss: 2.0761 2022/08/01 20:56:20 - mmengine - INFO - Epoch(train) [16][760/1879] lr: 2.0000e-02 eta: 2 days, 16:36:49 time: 0.9225 data_time: 0.0324 memory: 11089 grad_norm: 3.9118 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1322 loss: 2.1322 2022/08/01 20:56:39 - mmengine - INFO - Epoch(train) [16][780/1879] lr: 2.0000e-02 eta: 2 days, 16:36:30 time: 0.9180 data_time: 0.0287 memory: 11089 grad_norm: 3.8717 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9974 loss: 1.9974 2022/08/01 20:56:57 - mmengine - INFO - Epoch(train) [16][800/1879] lr: 2.0000e-02 eta: 2 days, 16:36:08 time: 0.8963 data_time: 0.0246 memory: 11089 grad_norm: 3.8266 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0243 loss: 2.0243 2022/08/01 20:57:10 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 20:57:15 - mmengine - INFO - Epoch(train) [16][820/1879] lr: 2.0000e-02 eta: 2 days, 16:35:47 time: 0.9052 data_time: 0.0288 memory: 11089 grad_norm: 3.8540 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9427 loss: 1.9427 2022/08/01 20:57:34 - mmengine - INFO - Epoch(train) [16][840/1879] lr: 2.0000e-02 eta: 2 days, 16:35:31 time: 0.9369 data_time: 0.0249 memory: 11089 grad_norm: 3.8690 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0469 loss: 2.0469 2022/08/01 20:57:52 - mmengine - INFO - Epoch(train) [16][860/1879] lr: 2.0000e-02 eta: 2 days, 16:35:14 time: 0.9274 data_time: 0.0462 memory: 11089 grad_norm: 3.9460 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1765 loss: 2.1765 2022/08/01 20:58:11 - mmengine - INFO - Epoch(train) [16][880/1879] lr: 2.0000e-02 eta: 2 days, 16:35:02 time: 0.9532 data_time: 0.0356 memory: 11089 grad_norm: 3.7021 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8797 loss: 1.8797 2022/08/01 20:58:30 - mmengine - INFO - Epoch(train) [16][900/1879] lr: 2.0000e-02 eta: 2 days, 16:34:50 time: 0.9612 data_time: 0.0360 memory: 11089 grad_norm: 3.9890 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2761 loss: 2.2761 2022/08/01 20:58:49 - mmengine - INFO - Epoch(train) [16][920/1879] lr: 2.0000e-02 eta: 2 days, 16:34:37 time: 0.9478 data_time: 0.0374 memory: 11089 grad_norm: 3.9523 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0873 loss: 2.0873 2022/08/01 20:59:08 - mmengine - INFO - Epoch(train) [16][940/1879] lr: 2.0000e-02 eta: 2 days, 16:34:17 time: 0.9114 data_time: 0.0290 memory: 11089 grad_norm: 3.8569 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2634 loss: 2.2634 2022/08/01 20:59:26 - mmengine - INFO - Epoch(train) [16][960/1879] lr: 2.0000e-02 eta: 2 days, 16:33:57 time: 0.9084 data_time: 0.0256 memory: 11089 grad_norm: 3.9389 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2207 loss: 2.2207 2022/08/01 20:59:44 - mmengine - INFO - Epoch(train) [16][980/1879] lr: 2.0000e-02 eta: 2 days, 16:33:35 time: 0.9035 data_time: 0.0307 memory: 11089 grad_norm: 3.8933 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2422 loss: 2.2422 2022/08/01 21:00:02 - mmengine - INFO - Epoch(train) [16][1000/1879] lr: 2.0000e-02 eta: 2 days, 16:33:18 time: 0.9260 data_time: 0.0255 memory: 11089 grad_norm: 3.9133 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1557 loss: 2.1557 2022/08/01 21:00:21 - mmengine - INFO - Epoch(train) [16][1020/1879] lr: 2.0000e-02 eta: 2 days, 16:33:02 time: 0.9331 data_time: 0.0375 memory: 11089 grad_norm: 3.8826 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2140 loss: 2.2140 2022/08/01 21:00:39 - mmengine - INFO - Epoch(train) [16][1040/1879] lr: 2.0000e-02 eta: 2 days, 16:32:43 time: 0.9144 data_time: 0.0263 memory: 11089 grad_norm: 3.8821 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0138 loss: 2.0138 2022/08/01 21:00:57 - mmengine - INFO - Epoch(train) [16][1060/1879] lr: 2.0000e-02 eta: 2 days, 16:32:22 time: 0.9077 data_time: 0.0304 memory: 11089 grad_norm: 3.9043 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.1023 loss: 2.1023 2022/08/01 21:01:15 - mmengine - INFO - Epoch(train) [16][1080/1879] lr: 2.0000e-02 eta: 2 days, 16:32:01 time: 0.9032 data_time: 0.0267 memory: 11089 grad_norm: 3.9326 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0588 loss: 2.0588 2022/08/01 21:01:34 - mmengine - INFO - Epoch(train) [16][1100/1879] lr: 2.0000e-02 eta: 2 days, 16:31:44 time: 0.9282 data_time: 0.0359 memory: 11089 grad_norm: 3.8888 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1832 loss: 2.1832 2022/08/01 21:01:53 - mmengine - INFO - Epoch(train) [16][1120/1879] lr: 2.0000e-02 eta: 2 days, 16:31:28 time: 0.9362 data_time: 0.0364 memory: 11089 grad_norm: 3.8744 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1189 loss: 2.1189 2022/08/01 21:02:11 - mmengine - INFO - Epoch(train) [16][1140/1879] lr: 2.0000e-02 eta: 2 days, 16:31:08 time: 0.9104 data_time: 0.0261 memory: 11089 grad_norm: 3.8681 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1193 loss: 2.1193 2022/08/01 21:02:29 - mmengine - INFO - Epoch(train) [16][1160/1879] lr: 2.0000e-02 eta: 2 days, 16:30:51 time: 0.9250 data_time: 0.0321 memory: 11089 grad_norm: 3.9591 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0662 loss: 2.0662 2022/08/01 21:02:48 - mmengine - INFO - Epoch(train) [16][1180/1879] lr: 2.0000e-02 eta: 2 days, 16:30:34 time: 0.9290 data_time: 0.0303 memory: 11089 grad_norm: 3.9107 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.0716 loss: 2.0716 2022/08/01 21:03:07 - mmengine - INFO - Epoch(train) [16][1200/1879] lr: 2.0000e-02 eta: 2 days, 16:30:20 time: 0.9432 data_time: 0.0294 memory: 11089 grad_norm: 3.8366 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1652 loss: 2.1652 2022/08/01 21:03:26 - mmengine - INFO - Epoch(train) [16][1220/1879] lr: 2.0000e-02 eta: 2 days, 16:30:03 time: 0.9326 data_time: 0.0420 memory: 11089 grad_norm: 3.8299 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0218 loss: 2.0218 2022/08/01 21:03:44 - mmengine - INFO - Epoch(train) [16][1240/1879] lr: 2.0000e-02 eta: 2 days, 16:29:44 time: 0.9124 data_time: 0.0285 memory: 11089 grad_norm: 3.8814 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9652 loss: 1.9652 2022/08/01 21:04:02 - mmengine - INFO - Epoch(train) [16][1260/1879] lr: 2.0000e-02 eta: 2 days, 16:29:27 time: 0.9266 data_time: 0.0312 memory: 11089 grad_norm: 3.9420 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2156 loss: 2.2156 2022/08/01 21:04:21 - mmengine - INFO - Epoch(train) [16][1280/1879] lr: 2.0000e-02 eta: 2 days, 16:29:11 time: 0.9373 data_time: 0.0361 memory: 11089 grad_norm: 3.9163 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1528 loss: 2.1528 2022/08/01 21:04:39 - mmengine - INFO - Epoch(train) [16][1300/1879] lr: 2.0000e-02 eta: 2 days, 16:28:51 time: 0.9077 data_time: 0.0286 memory: 11089 grad_norm: 4.0081 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2637 loss: 2.2637 2022/08/01 21:04:57 - mmengine - INFO - Epoch(train) [16][1320/1879] lr: 2.0000e-02 eta: 2 days, 16:28:30 time: 0.9079 data_time: 0.0282 memory: 11089 grad_norm: 3.8695 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0779 loss: 2.0779 2022/08/01 21:05:15 - mmengine - INFO - Epoch(train) [16][1340/1879] lr: 2.0000e-02 eta: 2 days, 16:28:09 time: 0.9021 data_time: 0.0245 memory: 11089 grad_norm: 3.9775 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.2016 loss: 2.2016 2022/08/01 21:05:34 - mmengine - INFO - Epoch(train) [16][1360/1879] lr: 2.0000e-02 eta: 2 days, 16:27:48 time: 0.9045 data_time: 0.0250 memory: 11089 grad_norm: 3.7804 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1545 loss: 2.1545 2022/08/01 21:05:52 - mmengine - INFO - Epoch(train) [16][1380/1879] lr: 2.0000e-02 eta: 2 days, 16:27:32 time: 0.9362 data_time: 0.0392 memory: 11089 grad_norm: 3.8178 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2430 loss: 2.2430 2022/08/01 21:06:10 - mmengine - INFO - Epoch(train) [16][1400/1879] lr: 2.0000e-02 eta: 2 days, 16:27:11 time: 0.9051 data_time: 0.0287 memory: 11089 grad_norm: 3.8104 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1606 loss: 2.1606 2022/08/01 21:06:29 - mmengine - INFO - Epoch(train) [16][1420/1879] lr: 2.0000e-02 eta: 2 days, 16:26:53 time: 0.9230 data_time: 0.0253 memory: 11089 grad_norm: 3.7863 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1424 loss: 2.1424 2022/08/01 21:06:48 - mmengine - INFO - Epoch(train) [16][1440/1879] lr: 2.0000e-02 eta: 2 days, 16:26:38 time: 0.9374 data_time: 0.0319 memory: 11089 grad_norm: 3.8951 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0207 loss: 2.0207 2022/08/01 21:07:06 - mmengine - INFO - Epoch(train) [16][1460/1879] lr: 2.0000e-02 eta: 2 days, 16:26:18 time: 0.9115 data_time: 0.0265 memory: 11089 grad_norm: 3.8437 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1602 loss: 2.1602 2022/08/01 21:07:24 - mmengine - INFO - Epoch(train) [16][1480/1879] lr: 2.0000e-02 eta: 2 days, 16:25:57 time: 0.9039 data_time: 0.0291 memory: 11089 grad_norm: 3.9056 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1893 loss: 2.1893 2022/08/01 21:07:42 - mmengine - INFO - Epoch(train) [16][1500/1879] lr: 2.0000e-02 eta: 2 days, 16:25:38 time: 0.9179 data_time: 0.0267 memory: 11089 grad_norm: 3.7975 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0919 loss: 2.0919 2022/08/01 21:08:00 - mmengine - INFO - Epoch(train) [16][1520/1879] lr: 2.0000e-02 eta: 2 days, 16:25:19 time: 0.9117 data_time: 0.0308 memory: 11089 grad_norm: 3.8967 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2195 loss: 2.2195 2022/08/01 21:08:19 - mmengine - INFO - Epoch(train) [16][1540/1879] lr: 2.0000e-02 eta: 2 days, 16:25:04 time: 0.9440 data_time: 0.0298 memory: 11089 grad_norm: 3.8346 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9459 loss: 1.9459 2022/08/01 21:08:37 - mmengine - INFO - Epoch(train) [16][1560/1879] lr: 2.0000e-02 eta: 2 days, 16:24:43 time: 0.9027 data_time: 0.0285 memory: 11089 grad_norm: 3.8933 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.1159 loss: 2.1159 2022/08/01 21:08:56 - mmengine - INFO - Epoch(train) [16][1580/1879] lr: 2.0000e-02 eta: 2 days, 16:24:23 time: 0.9079 data_time: 0.0269 memory: 11089 grad_norm: 3.8877 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3803 loss: 2.3803 2022/08/01 21:09:14 - mmengine - INFO - Epoch(train) [16][1600/1879] lr: 2.0000e-02 eta: 2 days, 16:24:07 time: 0.9362 data_time: 0.0314 memory: 11089 grad_norm: 3.8353 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.2349 loss: 2.2349 2022/08/01 21:09:33 - mmengine - INFO - Epoch(train) [16][1620/1879] lr: 2.0000e-02 eta: 2 days, 16:23:48 time: 0.9137 data_time: 0.0337 memory: 11089 grad_norm: 3.8737 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1612 loss: 2.1612 2022/08/01 21:09:51 - mmengine - INFO - Epoch(train) [16][1640/1879] lr: 2.0000e-02 eta: 2 days, 16:23:29 time: 0.9177 data_time: 0.0255 memory: 11089 grad_norm: 3.8528 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0655 loss: 2.0655 2022/08/01 21:10:09 - mmengine - INFO - Epoch(train) [16][1660/1879] lr: 2.0000e-02 eta: 2 days, 16:23:12 time: 0.9273 data_time: 0.0387 memory: 11089 grad_norm: 3.9044 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9195 loss: 1.9195 2022/08/01 21:10:28 - mmengine - INFO - Epoch(train) [16][1680/1879] lr: 2.0000e-02 eta: 2 days, 16:22:55 time: 0.9279 data_time: 0.0304 memory: 11089 grad_norm: 3.8056 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0806 loss: 2.0806 2022/08/01 21:10:46 - mmengine - INFO - Epoch(train) [16][1700/1879] lr: 2.0000e-02 eta: 2 days, 16:22:34 time: 0.9033 data_time: 0.0309 memory: 11089 grad_norm: 3.8316 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0126 loss: 2.0126 2022/08/01 21:11:05 - mmengine - INFO - Epoch(train) [16][1720/1879] lr: 2.0000e-02 eta: 2 days, 16:22:20 time: 0.9510 data_time: 0.0306 memory: 11089 grad_norm: 3.8625 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1673 loss: 2.1673 2022/08/01 21:11:24 - mmengine - INFO - Epoch(train) [16][1740/1879] lr: 2.0000e-02 eta: 2 days, 16:22:03 time: 0.9260 data_time: 0.0248 memory: 11089 grad_norm: 3.8679 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0076 loss: 2.0076 2022/08/01 21:11:42 - mmengine - INFO - Epoch(train) [16][1760/1879] lr: 2.0000e-02 eta: 2 days, 16:21:46 time: 0.9278 data_time: 0.0297 memory: 11089 grad_norm: 3.9602 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1937 loss: 2.1937 2022/08/01 21:12:01 - mmengine - INFO - Epoch(train) [16][1780/1879] lr: 2.0000e-02 eta: 2 days, 16:21:29 time: 0.9283 data_time: 0.0306 memory: 11089 grad_norm: 3.8562 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2538 loss: 2.2538 2022/08/01 21:12:19 - mmengine - INFO - Epoch(train) [16][1800/1879] lr: 2.0000e-02 eta: 2 days, 16:21:11 time: 0.9245 data_time: 0.0297 memory: 11089 grad_norm: 3.9149 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2054 loss: 2.2054 2022/08/01 21:12:33 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 21:12:37 - mmengine - INFO - Epoch(train) [16][1820/1879] lr: 2.0000e-02 eta: 2 days, 16:20:48 time: 0.8918 data_time: 0.0221 memory: 11089 grad_norm: 3.7978 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0889 loss: 2.0889 2022/08/01 21:12:55 - mmengine - INFO - Epoch(train) [16][1840/1879] lr: 2.0000e-02 eta: 2 days, 16:20:30 time: 0.9176 data_time: 0.0305 memory: 11089 grad_norm: 3.8862 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3652 loss: 2.3652 2022/08/01 21:13:14 - mmengine - INFO - Epoch(train) [16][1860/1879] lr: 2.0000e-02 eta: 2 days, 16:20:13 time: 0.9283 data_time: 0.0251 memory: 11089 grad_norm: 3.8243 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0320 loss: 2.0320 2022/08/01 21:13:32 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 21:13:32 - mmengine - INFO - Epoch(train) [16][1879/1879] lr: 2.0000e-02 eta: 2 days, 16:20:13 time: 0.9313 data_time: 0.0374 memory: 11089 grad_norm: 3.9541 top1_acc: 0.1429 top5_acc: 0.8571 loss_cls: 2.1897 loss: 2.1897 2022/08/01 21:13:32 - mmengine - INFO - Saving checkpoint at 16 epochs 2022/08/01 21:13:54 - mmengine - INFO - Epoch(train) [17][20/1879] lr: 2.0000e-02 eta: 2 days, 16:17:24 time: 1.0027 data_time: 0.1226 memory: 11089 grad_norm: 3.8120 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0381 loss: 2.0381 2022/08/01 21:14:13 - mmengine - INFO - Epoch(train) [17][40/1879] lr: 2.0000e-02 eta: 2 days, 16:17:06 time: 0.9182 data_time: 0.0259 memory: 11089 grad_norm: 3.7867 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2363 loss: 2.2363 2022/08/01 21:14:32 - mmengine - INFO - Epoch(train) [17][60/1879] lr: 2.0000e-02 eta: 2 days, 16:16:50 time: 0.9347 data_time: 0.0348 memory: 11089 grad_norm: 3.8202 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1225 loss: 2.1225 2022/08/01 21:14:50 - mmengine - INFO - Epoch(train) [17][80/1879] lr: 2.0000e-02 eta: 2 days, 16:16:34 time: 0.9331 data_time: 0.0375 memory: 11089 grad_norm: 3.9422 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9805 loss: 1.9805 2022/08/01 21:15:08 - mmengine - INFO - Epoch(train) [17][100/1879] lr: 2.0000e-02 eta: 2 days, 16:16:13 time: 0.9048 data_time: 0.0336 memory: 11089 grad_norm: 3.8731 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1643 loss: 2.1643 2022/08/01 21:15:27 - mmengine - INFO - Epoch(train) [17][120/1879] lr: 2.0000e-02 eta: 2 days, 16:15:55 time: 0.9242 data_time: 0.0370 memory: 11089 grad_norm: 3.9126 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9628 loss: 1.9628 2022/08/01 21:15:45 - mmengine - INFO - Epoch(train) [17][140/1879] lr: 2.0000e-02 eta: 2 days, 16:15:39 time: 0.9281 data_time: 0.0345 memory: 11089 grad_norm: 3.8533 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9290 loss: 1.9290 2022/08/01 21:16:04 - mmengine - INFO - Epoch(train) [17][160/1879] lr: 2.0000e-02 eta: 2 days, 16:15:20 time: 0.9193 data_time: 0.0273 memory: 11089 grad_norm: 3.7887 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1863 loss: 2.1863 2022/08/01 21:16:22 - mmengine - INFO - Epoch(train) [17][180/1879] lr: 2.0000e-02 eta: 2 days, 16:15:03 time: 0.9277 data_time: 0.0358 memory: 11089 grad_norm: 3.9009 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9849 loss: 1.9849 2022/08/01 21:16:41 - mmengine - INFO - Epoch(train) [17][200/1879] lr: 2.0000e-02 eta: 2 days, 16:14:45 time: 0.9178 data_time: 0.0256 memory: 11089 grad_norm: 3.8579 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0292 loss: 2.0292 2022/08/01 21:16:59 - mmengine - INFO - Epoch(train) [17][220/1879] lr: 2.0000e-02 eta: 2 days, 16:14:24 time: 0.9078 data_time: 0.0268 memory: 11089 grad_norm: 3.8967 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1393 loss: 2.1393 2022/08/01 21:17:17 - mmengine - INFO - Epoch(train) [17][240/1879] lr: 2.0000e-02 eta: 2 days, 16:14:06 time: 0.9208 data_time: 0.0267 memory: 11089 grad_norm: 3.8646 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3083 loss: 2.3083 2022/08/01 21:17:36 - mmengine - INFO - Epoch(train) [17][260/1879] lr: 2.0000e-02 eta: 2 days, 16:13:48 time: 0.9217 data_time: 0.0367 memory: 11089 grad_norm: 3.8262 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9228 loss: 1.9228 2022/08/01 21:17:54 - mmengine - INFO - Epoch(train) [17][280/1879] lr: 2.0000e-02 eta: 2 days, 16:13:29 time: 0.9172 data_time: 0.0301 memory: 11089 grad_norm: 3.8861 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2473 loss: 2.2473 2022/08/01 21:18:13 - mmengine - INFO - Epoch(train) [17][300/1879] lr: 2.0000e-02 eta: 2 days, 16:13:16 time: 0.9513 data_time: 0.0329 memory: 11089 grad_norm: 3.8550 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2349 loss: 2.2349 2022/08/01 21:18:31 - mmengine - INFO - Epoch(train) [17][320/1879] lr: 2.0000e-02 eta: 2 days, 16:12:59 time: 0.9238 data_time: 0.0337 memory: 11089 grad_norm: 3.8198 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9326 loss: 1.9326 2022/08/01 21:18:50 - mmengine - INFO - Epoch(train) [17][340/1879] lr: 2.0000e-02 eta: 2 days, 16:12:38 time: 0.9048 data_time: 0.0262 memory: 11089 grad_norm: 3.8783 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0636 loss: 2.0636 2022/08/01 21:19:08 - mmengine - INFO - Epoch(train) [17][360/1879] lr: 2.0000e-02 eta: 2 days, 16:12:16 time: 0.9008 data_time: 0.0256 memory: 11089 grad_norm: 3.9725 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1295 loss: 2.1295 2022/08/01 21:19:26 - mmengine - INFO - Epoch(train) [17][380/1879] lr: 2.0000e-02 eta: 2 days, 16:11:59 time: 0.9255 data_time: 0.0304 memory: 11089 grad_norm: 4.0098 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.2048 loss: 2.2048 2022/08/01 21:19:45 - mmengine - INFO - Epoch(train) [17][400/1879] lr: 2.0000e-02 eta: 2 days, 16:11:44 time: 0.9402 data_time: 0.0336 memory: 11089 grad_norm: 3.9168 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1777 loss: 2.1777 2022/08/01 21:20:03 - mmengine - INFO - Epoch(train) [17][420/1879] lr: 2.0000e-02 eta: 2 days, 16:11:26 time: 0.9218 data_time: 0.0363 memory: 11089 grad_norm: 3.9974 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2745 loss: 2.2745 2022/08/01 21:20:22 - mmengine - INFO - Epoch(train) [17][440/1879] lr: 2.0000e-02 eta: 2 days, 16:11:07 time: 0.9150 data_time: 0.0369 memory: 11089 grad_norm: 3.9260 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2121 loss: 2.2121 2022/08/01 21:20:40 - mmengine - INFO - Epoch(train) [17][460/1879] lr: 2.0000e-02 eta: 2 days, 16:10:48 time: 0.9166 data_time: 0.0252 memory: 11089 grad_norm: 3.9485 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3003 loss: 2.3003 2022/08/01 21:20:58 - mmengine - INFO - Epoch(train) [17][480/1879] lr: 2.0000e-02 eta: 2 days, 16:10:28 time: 0.9063 data_time: 0.0280 memory: 11089 grad_norm: 3.9021 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1198 loss: 2.1198 2022/08/01 21:21:17 - mmengine - INFO - Epoch(train) [17][500/1879] lr: 2.0000e-02 eta: 2 days, 16:10:11 time: 0.9330 data_time: 0.0309 memory: 11089 grad_norm: 3.7697 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0636 loss: 2.0636 2022/08/01 21:21:35 - mmengine - INFO - Epoch(train) [17][520/1879] lr: 2.0000e-02 eta: 2 days, 16:09:52 time: 0.9110 data_time: 0.0240 memory: 11089 grad_norm: 3.9102 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9743 loss: 1.9743 2022/08/01 21:21:54 - mmengine - INFO - Epoch(train) [17][540/1879] lr: 2.0000e-02 eta: 2 days, 16:09:35 time: 0.9316 data_time: 0.0305 memory: 11089 grad_norm: 3.8569 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1975 loss: 2.1975 2022/08/01 21:22:12 - mmengine - INFO - Epoch(train) [17][560/1879] lr: 2.0000e-02 eta: 2 days, 16:09:16 time: 0.9138 data_time: 0.0272 memory: 11089 grad_norm: 3.8245 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2249 loss: 2.2249 2022/08/01 21:22:31 - mmengine - INFO - Epoch(train) [17][580/1879] lr: 2.0000e-02 eta: 2 days, 16:09:00 time: 0.9316 data_time: 0.0357 memory: 11089 grad_norm: 3.8131 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0999 loss: 2.0999 2022/08/01 21:22:49 - mmengine - INFO - Epoch(train) [17][600/1879] lr: 2.0000e-02 eta: 2 days, 16:08:40 time: 0.9126 data_time: 0.0328 memory: 11089 grad_norm: 3.9154 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.1000 loss: 2.1000 2022/08/01 21:23:07 - mmengine - INFO - Epoch(train) [17][620/1879] lr: 2.0000e-02 eta: 2 days, 16:08:21 time: 0.9117 data_time: 0.0295 memory: 11089 grad_norm: 3.8376 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2611 loss: 2.2611 2022/08/01 21:23:25 - mmengine - INFO - Epoch(train) [17][640/1879] lr: 2.0000e-02 eta: 2 days, 16:08:00 time: 0.9072 data_time: 0.0250 memory: 11089 grad_norm: 3.7951 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1067 loss: 2.1067 2022/08/01 21:23:44 - mmengine - INFO - Epoch(train) [17][660/1879] lr: 2.0000e-02 eta: 2 days, 16:07:42 time: 0.9178 data_time: 0.0284 memory: 11089 grad_norm: 3.7570 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9338 loss: 1.9338 2022/08/01 21:24:02 - mmengine - INFO - Epoch(train) [17][680/1879] lr: 2.0000e-02 eta: 2 days, 16:07:23 time: 0.9208 data_time: 0.0303 memory: 11089 grad_norm: 3.9028 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0723 loss: 2.0723 2022/08/01 21:24:20 - mmengine - INFO - Epoch(train) [17][700/1879] lr: 2.0000e-02 eta: 2 days, 16:07:05 time: 0.9179 data_time: 0.0295 memory: 11089 grad_norm: 3.7881 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0870 loss: 2.0870 2022/08/01 21:24:39 - mmengine - INFO - Epoch(train) [17][720/1879] lr: 2.0000e-02 eta: 2 days, 16:06:47 time: 0.9234 data_time: 0.0296 memory: 11089 grad_norm: 3.9398 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2196 loss: 2.2196 2022/08/01 21:24:57 - mmengine - INFO - Epoch(train) [17][740/1879] lr: 2.0000e-02 eta: 2 days, 16:06:24 time: 0.8933 data_time: 0.0264 memory: 11089 grad_norm: 3.8014 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9724 loss: 1.9724 2022/08/01 21:25:15 - mmengine - INFO - Epoch(train) [17][760/1879] lr: 2.0000e-02 eta: 2 days, 16:06:03 time: 0.9013 data_time: 0.0291 memory: 11089 grad_norm: 3.8617 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2107 loss: 2.2107 2022/08/01 21:25:33 - mmengine - INFO - Epoch(train) [17][780/1879] lr: 2.0000e-02 eta: 2 days, 16:05:43 time: 0.9112 data_time: 0.0300 memory: 11089 grad_norm: 3.9570 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0754 loss: 2.0754 2022/08/01 21:25:51 - mmengine - INFO - Epoch(train) [17][800/1879] lr: 2.0000e-02 eta: 2 days, 16:05:25 time: 0.9194 data_time: 0.0241 memory: 11089 grad_norm: 3.8187 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0742 loss: 2.0742 2022/08/01 21:26:10 - mmengine - INFO - Epoch(train) [17][820/1879] lr: 2.0000e-02 eta: 2 days, 16:05:07 time: 0.9219 data_time: 0.0309 memory: 11089 grad_norm: 3.8183 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1738 loss: 2.1738 2022/08/01 21:26:28 - mmengine - INFO - Epoch(train) [17][840/1879] lr: 2.0000e-02 eta: 2 days, 16:04:47 time: 0.9087 data_time: 0.0285 memory: 11089 grad_norm: 3.8866 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2390 loss: 2.2390 2022/08/01 21:26:46 - mmengine - INFO - Epoch(train) [17][860/1879] lr: 2.0000e-02 eta: 2 days, 16:04:26 time: 0.9030 data_time: 0.0274 memory: 11089 grad_norm: 3.8370 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2038 loss: 2.2038 2022/08/01 21:27:04 - mmengine - INFO - Epoch(train) [17][880/1879] lr: 2.0000e-02 eta: 2 days, 16:04:09 time: 0.9259 data_time: 0.0385 memory: 11089 grad_norm: 3.9071 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8369 loss: 1.8369 2022/08/01 21:27:23 - mmengine - INFO - Epoch(train) [17][900/1879] lr: 2.0000e-02 eta: 2 days, 16:03:48 time: 0.9067 data_time: 0.0259 memory: 11089 grad_norm: 3.7664 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1353 loss: 2.1353 2022/08/01 21:27:40 - mmengine - INFO - Epoch(train) [17][920/1879] lr: 2.0000e-02 eta: 2 days, 16:03:26 time: 0.8940 data_time: 0.0254 memory: 11089 grad_norm: 3.8910 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3718 loss: 2.3718 2022/08/01 21:27:55 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 21:27:58 - mmengine - INFO - Epoch(train) [17][940/1879] lr: 2.0000e-02 eta: 2 days, 16:03:03 time: 0.8942 data_time: 0.0256 memory: 11089 grad_norm: 3.9154 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2599 loss: 2.2599 2022/08/01 21:28:16 - mmengine - INFO - Epoch(train) [17][960/1879] lr: 2.0000e-02 eta: 2 days, 16:02:43 time: 0.9047 data_time: 0.0234 memory: 11089 grad_norm: 3.9355 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3806 loss: 2.3806 2022/08/01 21:28:35 - mmengine - INFO - Epoch(train) [17][980/1879] lr: 2.0000e-02 eta: 2 days, 16:02:24 time: 0.9192 data_time: 0.0331 memory: 11089 grad_norm: 3.8465 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2591 loss: 2.2591 2022/08/01 21:28:53 - mmengine - INFO - Epoch(train) [17][1000/1879] lr: 2.0000e-02 eta: 2 days, 16:02:06 time: 0.9201 data_time: 0.0331 memory: 11089 grad_norm: 3.9028 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1948 loss: 2.1948 2022/08/01 21:29:12 - mmengine - INFO - Epoch(train) [17][1020/1879] lr: 2.0000e-02 eta: 2 days, 16:01:47 time: 0.9131 data_time: 0.0316 memory: 11089 grad_norm: 3.8454 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2534 loss: 2.2534 2022/08/01 21:29:30 - mmengine - INFO - Epoch(train) [17][1040/1879] lr: 2.0000e-02 eta: 2 days, 16:01:26 time: 0.9063 data_time: 0.0251 memory: 11089 grad_norm: 3.9015 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1180 loss: 2.1180 2022/08/01 21:29:48 - mmengine - INFO - Epoch(train) [17][1060/1879] lr: 2.0000e-02 eta: 2 days, 16:01:08 time: 0.9209 data_time: 0.0264 memory: 11089 grad_norm: 3.7835 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1301 loss: 2.1301 2022/08/01 21:30:06 - mmengine - INFO - Epoch(train) [17][1080/1879] lr: 2.0000e-02 eta: 2 days, 16:00:47 time: 0.9055 data_time: 0.0292 memory: 11089 grad_norm: 3.9359 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.0499 loss: 2.0499 2022/08/01 21:30:25 - mmengine - INFO - Epoch(train) [17][1100/1879] lr: 2.0000e-02 eta: 2 days, 16:00:33 time: 0.9462 data_time: 0.0369 memory: 11089 grad_norm: 3.8616 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2396 loss: 2.2396 2022/08/01 21:30:43 - mmengine - INFO - Epoch(train) [17][1120/1879] lr: 2.0000e-02 eta: 2 days, 16:00:15 time: 0.9182 data_time: 0.0355 memory: 11089 grad_norm: 3.8343 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9336 loss: 1.9336 2022/08/01 21:31:02 - mmengine - INFO - Epoch(train) [17][1140/1879] lr: 2.0000e-02 eta: 2 days, 15:59:55 time: 0.9117 data_time: 0.0291 memory: 11089 grad_norm: 3.8324 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9308 loss: 1.9308 2022/08/01 21:31:20 - mmengine - INFO - Epoch(train) [17][1160/1879] lr: 2.0000e-02 eta: 2 days, 15:59:40 time: 0.9402 data_time: 0.0264 memory: 11089 grad_norm: 3.8425 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0780 loss: 2.0780 2022/08/01 21:31:39 - mmengine - INFO - Epoch(train) [17][1180/1879] lr: 2.0000e-02 eta: 2 days, 15:59:21 time: 0.9153 data_time: 0.0286 memory: 11089 grad_norm: 3.8584 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0336 loss: 2.0336 2022/08/01 21:31:57 - mmengine - INFO - Epoch(train) [17][1200/1879] lr: 2.0000e-02 eta: 2 days, 15:58:59 time: 0.8969 data_time: 0.0273 memory: 11089 grad_norm: 3.8305 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0987 loss: 2.0987 2022/08/01 21:32:15 - mmengine - INFO - Epoch(train) [17][1220/1879] lr: 2.0000e-02 eta: 2 days, 15:58:43 time: 0.9336 data_time: 0.0236 memory: 11089 grad_norm: 3.8567 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2573 loss: 2.2573 2022/08/01 21:32:34 - mmengine - INFO - Epoch(train) [17][1240/1879] lr: 2.0000e-02 eta: 2 days, 15:58:24 time: 0.9132 data_time: 0.0280 memory: 11089 grad_norm: 3.8614 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2353 loss: 2.2353 2022/08/01 21:32:52 - mmengine - INFO - Epoch(train) [17][1260/1879] lr: 2.0000e-02 eta: 2 days, 15:58:03 time: 0.9041 data_time: 0.0235 memory: 11089 grad_norm: 3.8724 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2288 loss: 2.2288 2022/08/01 21:33:10 - mmengine - INFO - Epoch(train) [17][1280/1879] lr: 2.0000e-02 eta: 2 days, 15:57:46 time: 0.9269 data_time: 0.0314 memory: 11089 grad_norm: 3.9067 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0473 loss: 2.0473 2022/08/01 21:33:28 - mmengine - INFO - Epoch(train) [17][1300/1879] lr: 2.0000e-02 eta: 2 days, 15:57:25 time: 0.9059 data_time: 0.0281 memory: 11089 grad_norm: 3.7658 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9921 loss: 1.9921 2022/08/01 21:33:47 - mmengine - INFO - Epoch(train) [17][1320/1879] lr: 2.0000e-02 eta: 2 days, 15:57:07 time: 0.9187 data_time: 0.0334 memory: 11089 grad_norm: 3.8194 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1648 loss: 2.1648 2022/08/01 21:34:05 - mmengine - INFO - Epoch(train) [17][1340/1879] lr: 2.0000e-02 eta: 2 days, 15:56:46 time: 0.9026 data_time: 0.0287 memory: 11089 grad_norm: 3.8182 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1681 loss: 2.1681 2022/08/01 21:34:23 - mmengine - INFO - Epoch(train) [17][1360/1879] lr: 2.0000e-02 eta: 2 days, 15:56:29 time: 0.9269 data_time: 0.0328 memory: 11089 grad_norm: 3.8503 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3123 loss: 2.3123 2022/08/01 21:34:42 - mmengine - INFO - Epoch(train) [17][1380/1879] lr: 2.0000e-02 eta: 2 days, 15:56:08 time: 0.9058 data_time: 0.0277 memory: 11089 grad_norm: 3.8819 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2657 loss: 2.2657 2022/08/01 21:35:00 - mmengine - INFO - Epoch(train) [17][1400/1879] lr: 2.0000e-02 eta: 2 days, 15:55:52 time: 0.9308 data_time: 0.0339 memory: 11089 grad_norm: 3.8920 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1528 loss: 2.1528 2022/08/01 21:35:18 - mmengine - INFO - Epoch(train) [17][1420/1879] lr: 2.0000e-02 eta: 2 days, 15:55:31 time: 0.9054 data_time: 0.0249 memory: 11089 grad_norm: 3.8596 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0247 loss: 2.0247 2022/08/01 21:35:37 - mmengine - INFO - Epoch(train) [17][1440/1879] lr: 2.0000e-02 eta: 2 days, 15:55:11 time: 0.9108 data_time: 0.0251 memory: 11089 grad_norm: 3.8423 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1347 loss: 2.1347 2022/08/01 21:35:54 - mmengine - INFO - Epoch(train) [17][1460/1879] lr: 2.0000e-02 eta: 2 days, 15:54:50 time: 0.8988 data_time: 0.0304 memory: 11089 grad_norm: 3.9463 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9761 loss: 1.9761 2022/08/01 21:36:13 - mmengine - INFO - Epoch(train) [17][1480/1879] lr: 2.0000e-02 eta: 2 days, 15:54:30 time: 0.9128 data_time: 0.0331 memory: 11089 grad_norm: 3.8571 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0628 loss: 2.0628 2022/08/01 21:36:32 - mmengine - INFO - Epoch(train) [17][1500/1879] lr: 2.0000e-02 eta: 2 days, 15:54:16 time: 0.9435 data_time: 0.0378 memory: 11089 grad_norm: 3.8082 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1352 loss: 2.1352 2022/08/01 21:36:50 - mmengine - INFO - Epoch(train) [17][1520/1879] lr: 2.0000e-02 eta: 2 days, 15:53:59 time: 0.9288 data_time: 0.0301 memory: 11089 grad_norm: 3.8255 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1546 loss: 2.1546 2022/08/01 21:37:08 - mmengine - INFO - Epoch(train) [17][1540/1879] lr: 2.0000e-02 eta: 2 days, 15:53:39 time: 0.9101 data_time: 0.0317 memory: 11089 grad_norm: 3.8997 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0347 loss: 2.0347 2022/08/01 21:37:27 - mmengine - INFO - Epoch(train) [17][1560/1879] lr: 2.0000e-02 eta: 2 days, 15:53:23 time: 0.9342 data_time: 0.0289 memory: 11089 grad_norm: 3.8501 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1514 loss: 2.1514 2022/08/01 21:37:46 - mmengine - INFO - Epoch(train) [17][1580/1879] lr: 2.0000e-02 eta: 2 days, 15:53:07 time: 0.9360 data_time: 0.0314 memory: 11089 grad_norm: 3.6801 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.9672 loss: 1.9672 2022/08/01 21:38:04 - mmengine - INFO - Epoch(train) [17][1600/1879] lr: 2.0000e-02 eta: 2 days, 15:52:52 time: 0.9364 data_time: 0.0346 memory: 11089 grad_norm: 3.8895 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2060 loss: 2.2060 2022/08/01 21:38:23 - mmengine - INFO - Epoch(train) [17][1620/1879] lr: 2.0000e-02 eta: 2 days, 15:52:31 time: 0.9064 data_time: 0.0335 memory: 11089 grad_norm: 3.8131 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2416 loss: 2.2416 2022/08/01 21:38:41 - mmengine - INFO - Epoch(train) [17][1640/1879] lr: 2.0000e-02 eta: 2 days, 15:52:11 time: 0.9078 data_time: 0.0251 memory: 11089 grad_norm: 3.9004 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0884 loss: 2.0884 2022/08/01 21:38:59 - mmengine - INFO - Epoch(train) [17][1660/1879] lr: 2.0000e-02 eta: 2 days, 15:51:52 time: 0.9142 data_time: 0.0317 memory: 11089 grad_norm: 3.8439 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0695 loss: 2.0695 2022/08/01 21:39:17 - mmengine - INFO - Epoch(train) [17][1680/1879] lr: 2.0000e-02 eta: 2 days, 15:51:33 time: 0.9129 data_time: 0.0281 memory: 11089 grad_norm: 3.8579 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9769 loss: 1.9769 2022/08/01 21:39:35 - mmengine - INFO - Epoch(train) [17][1700/1879] lr: 2.0000e-02 eta: 2 days, 15:51:13 time: 0.9100 data_time: 0.0281 memory: 11089 grad_norm: 3.8542 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1727 loss: 2.1727 2022/08/01 21:39:54 - mmengine - INFO - Epoch(train) [17][1720/1879] lr: 2.0000e-02 eta: 2 days, 15:50:53 time: 0.9129 data_time: 0.0266 memory: 11089 grad_norm: 3.9146 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2106 loss: 2.2106 2022/08/01 21:40:12 - mmengine - INFO - Epoch(train) [17][1740/1879] lr: 2.0000e-02 eta: 2 days, 15:50:34 time: 0.9149 data_time: 0.0299 memory: 11089 grad_norm: 3.7574 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9453 loss: 1.9453 2022/08/01 21:40:31 - mmengine - INFO - Epoch(train) [17][1760/1879] lr: 2.0000e-02 eta: 2 days, 15:50:17 time: 0.9244 data_time: 0.0366 memory: 11089 grad_norm: 3.7891 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1982 loss: 2.1982 2022/08/01 21:40:49 - mmengine - INFO - Epoch(train) [17][1780/1879] lr: 2.0000e-02 eta: 2 days, 15:49:58 time: 0.9186 data_time: 0.0291 memory: 11089 grad_norm: 3.8723 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1346 loss: 2.1346 2022/08/01 21:41:08 - mmengine - INFO - Epoch(train) [17][1800/1879] lr: 2.0000e-02 eta: 2 days, 15:49:42 time: 0.9305 data_time: 0.0266 memory: 11089 grad_norm: 3.8585 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0410 loss: 2.0410 2022/08/01 21:41:26 - mmengine - INFO - Epoch(train) [17][1820/1879] lr: 2.0000e-02 eta: 2 days, 15:49:23 time: 0.9180 data_time: 0.0340 memory: 11089 grad_norm: 3.8372 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3070 loss: 2.3070 2022/08/01 21:41:44 - mmengine - INFO - Epoch(train) [17][1840/1879] lr: 2.0000e-02 eta: 2 days, 15:49:06 time: 0.9258 data_time: 0.0320 memory: 11089 grad_norm: 3.8493 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1345 loss: 2.1345 2022/08/01 21:42:03 - mmengine - INFO - Epoch(train) [17][1860/1879] lr: 2.0000e-02 eta: 2 days, 15:48:46 time: 0.9078 data_time: 0.0249 memory: 11089 grad_norm: 3.8746 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2253 loss: 2.2253 2022/08/01 21:42:20 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 21:42:20 - mmengine - INFO - Epoch(train) [17][1879/1879] lr: 2.0000e-02 eta: 2 days, 15:48:46 time: 0.8941 data_time: 0.0278 memory: 11089 grad_norm: 3.8529 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.2384 loss: 2.2384 2022/08/01 21:42:40 - mmengine - INFO - Epoch(train) [18][20/1879] lr: 2.0000e-02 eta: 2 days, 15:46:06 time: 1.0021 data_time: 0.1380 memory: 11089 grad_norm: 3.7976 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.9264 loss: 1.9264 2022/08/01 21:42:58 - mmengine - INFO - Epoch(train) [18][40/1879] lr: 2.0000e-02 eta: 2 days, 15:45:48 time: 0.9189 data_time: 0.0274 memory: 11089 grad_norm: 3.9159 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2053 loss: 2.2053 2022/08/01 21:43:14 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 21:43:17 - mmengine - INFO - Epoch(train) [18][60/1879] lr: 2.0000e-02 eta: 2 days, 15:45:33 time: 0.9424 data_time: 0.0384 memory: 11089 grad_norm: 3.7924 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1659 loss: 2.1659 2022/08/01 21:43:35 - mmengine - INFO - Epoch(train) [18][80/1879] lr: 2.0000e-02 eta: 2 days, 15:45:16 time: 0.9231 data_time: 0.0323 memory: 11089 grad_norm: 3.7812 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9152 loss: 1.9152 2022/08/01 21:43:54 - mmengine - INFO - Epoch(train) [18][100/1879] lr: 2.0000e-02 eta: 2 days, 15:44:56 time: 0.9140 data_time: 0.0282 memory: 11089 grad_norm: 3.9035 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0239 loss: 2.0239 2022/08/01 21:44:12 - mmengine - INFO - Epoch(train) [18][120/1879] lr: 2.0000e-02 eta: 2 days, 15:44:38 time: 0.9154 data_time: 0.0274 memory: 11089 grad_norm: 3.9104 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0552 loss: 2.0552 2022/08/01 21:44:30 - mmengine - INFO - Epoch(train) [18][140/1879] lr: 2.0000e-02 eta: 2 days, 15:44:17 time: 0.9074 data_time: 0.0298 memory: 11089 grad_norm: 3.8954 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1648 loss: 2.1648 2022/08/01 21:44:48 - mmengine - INFO - Epoch(train) [18][160/1879] lr: 2.0000e-02 eta: 2 days, 15:43:56 time: 0.8969 data_time: 0.0259 memory: 11089 grad_norm: 3.8546 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0141 loss: 2.0141 2022/08/01 21:45:06 - mmengine - INFO - Epoch(train) [18][180/1879] lr: 2.0000e-02 eta: 2 days, 15:43:36 time: 0.9098 data_time: 0.0272 memory: 11089 grad_norm: 3.8115 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1944 loss: 2.1944 2022/08/01 21:45:25 - mmengine - INFO - Epoch(train) [18][200/1879] lr: 2.0000e-02 eta: 2 days, 15:43:18 time: 0.9196 data_time: 0.0402 memory: 11089 grad_norm: 3.7960 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1700 loss: 2.1700 2022/08/01 21:45:43 - mmengine - INFO - Epoch(train) [18][220/1879] lr: 2.0000e-02 eta: 2 days, 15:43:00 time: 0.9217 data_time: 0.0331 memory: 11089 grad_norm: 3.8979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0258 loss: 2.0258 2022/08/01 21:46:02 - mmengine - INFO - Epoch(train) [18][240/1879] lr: 2.0000e-02 eta: 2 days, 15:42:44 time: 0.9337 data_time: 0.0272 memory: 11089 grad_norm: 3.7973 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9350 loss: 1.9350 2022/08/01 21:46:20 - mmengine - INFO - Epoch(train) [18][260/1879] lr: 2.0000e-02 eta: 2 days, 15:42:27 time: 0.9290 data_time: 0.0356 memory: 11089 grad_norm: 3.7736 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9768 loss: 1.9768 2022/08/01 21:46:38 - mmengine - INFO - Epoch(train) [18][280/1879] lr: 2.0000e-02 eta: 2 days, 15:42:07 time: 0.9076 data_time: 0.0294 memory: 11089 grad_norm: 3.9609 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0834 loss: 2.0834 2022/08/01 21:46:57 - mmengine - INFO - Epoch(train) [18][300/1879] lr: 2.0000e-02 eta: 2 days, 15:41:51 time: 0.9352 data_time: 0.0309 memory: 11089 grad_norm: 3.8811 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0697 loss: 2.0697 2022/08/01 21:47:15 - mmengine - INFO - Epoch(train) [18][320/1879] lr: 2.0000e-02 eta: 2 days, 15:41:31 time: 0.9111 data_time: 0.0302 memory: 11089 grad_norm: 3.9755 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0578 loss: 2.0578 2022/08/01 21:47:33 - mmengine - INFO - Epoch(train) [18][340/1879] lr: 2.0000e-02 eta: 2 days, 15:41:11 time: 0.9037 data_time: 0.0221 memory: 11089 grad_norm: 3.8405 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9700 loss: 1.9700 2022/08/01 21:47:52 - mmengine - INFO - Epoch(train) [18][360/1879] lr: 2.0000e-02 eta: 2 days, 15:40:52 time: 0.9130 data_time: 0.0284 memory: 11089 grad_norm: 3.7980 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0362 loss: 2.0362 2022/08/01 21:48:10 - mmengine - INFO - Epoch(train) [18][380/1879] lr: 2.0000e-02 eta: 2 days, 15:40:31 time: 0.9032 data_time: 0.0265 memory: 11089 grad_norm: 3.8839 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0733 loss: 2.0733 2022/08/01 21:48:28 - mmengine - INFO - Epoch(train) [18][400/1879] lr: 2.0000e-02 eta: 2 days, 15:40:12 time: 0.9176 data_time: 0.0253 memory: 11089 grad_norm: 3.8201 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0965 loss: 2.0965 2022/08/01 21:48:47 - mmengine - INFO - Epoch(train) [18][420/1879] lr: 2.0000e-02 eta: 2 days, 15:39:55 time: 0.9270 data_time: 0.0287 memory: 11089 grad_norm: 3.8679 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1367 loss: 2.1367 2022/08/01 21:49:05 - mmengine - INFO - Epoch(train) [18][440/1879] lr: 2.0000e-02 eta: 2 days, 15:39:36 time: 0.9162 data_time: 0.0267 memory: 11089 grad_norm: 3.8279 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8687 loss: 1.8687 2022/08/01 21:49:23 - mmengine - INFO - Epoch(train) [18][460/1879] lr: 2.0000e-02 eta: 2 days, 15:39:16 time: 0.9060 data_time: 0.0256 memory: 11089 grad_norm: 3.8465 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1278 loss: 2.1278 2022/08/01 21:49:41 - mmengine - INFO - Epoch(train) [18][480/1879] lr: 2.0000e-02 eta: 2 days, 15:38:57 time: 0.9130 data_time: 0.0286 memory: 11089 grad_norm: 3.8100 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0575 loss: 2.0575 2022/08/01 21:50:00 - mmengine - INFO - Epoch(train) [18][500/1879] lr: 2.0000e-02 eta: 2 days, 15:38:39 time: 0.9231 data_time: 0.0267 memory: 11089 grad_norm: 3.8191 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1046 loss: 2.1046 2022/08/01 21:50:18 - mmengine - INFO - Epoch(train) [18][520/1879] lr: 2.0000e-02 eta: 2 days, 15:38:19 time: 0.9083 data_time: 0.0260 memory: 11089 grad_norm: 3.8667 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3003 loss: 2.3003 2022/08/01 21:50:37 - mmengine - INFO - Epoch(train) [18][540/1879] lr: 2.0000e-02 eta: 2 days, 15:38:04 time: 0.9398 data_time: 0.0380 memory: 11089 grad_norm: 3.8440 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1226 loss: 2.1226 2022/08/01 21:50:55 - mmengine - INFO - Epoch(train) [18][560/1879] lr: 2.0000e-02 eta: 2 days, 15:37:47 time: 0.9297 data_time: 0.0324 memory: 11089 grad_norm: 3.8670 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9066 loss: 1.9066 2022/08/01 21:51:14 - mmengine - INFO - Epoch(train) [18][580/1879] lr: 2.0000e-02 eta: 2 days, 15:37:31 time: 0.9316 data_time: 0.0308 memory: 11089 grad_norm: 3.8060 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9606 loss: 1.9606 2022/08/01 21:51:33 - mmengine - INFO - Epoch(train) [18][600/1879] lr: 2.0000e-02 eta: 2 days, 15:37:14 time: 0.9260 data_time: 0.0346 memory: 11089 grad_norm: 3.8233 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.0657 loss: 2.0657 2022/08/01 21:51:51 - mmengine - INFO - Epoch(train) [18][620/1879] lr: 2.0000e-02 eta: 2 days, 15:36:55 time: 0.9150 data_time: 0.0333 memory: 11089 grad_norm: 3.8878 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8208 loss: 1.8208 2022/08/01 21:52:09 - mmengine - INFO - Epoch(train) [18][640/1879] lr: 2.0000e-02 eta: 2 days, 15:36:32 time: 0.8891 data_time: 0.0236 memory: 11089 grad_norm: 3.8729 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3123 loss: 2.3123 2022/08/01 21:52:27 - mmengine - INFO - Epoch(train) [18][660/1879] lr: 2.0000e-02 eta: 2 days, 15:36:16 time: 0.9365 data_time: 0.0304 memory: 11089 grad_norm: 3.8530 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0330 loss: 2.0330 2022/08/01 21:52:46 - mmengine - INFO - Epoch(train) [18][680/1879] lr: 2.0000e-02 eta: 2 days, 15:35:57 time: 0.9158 data_time: 0.0356 memory: 11089 grad_norm: 3.9364 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1042 loss: 2.1042 2022/08/01 21:53:05 - mmengine - INFO - Epoch(train) [18][700/1879] lr: 2.0000e-02 eta: 2 days, 15:35:42 time: 0.9393 data_time: 0.0283 memory: 11089 grad_norm: 3.8982 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0415 loss: 2.0415 2022/08/01 21:53:23 - mmengine - INFO - Epoch(train) [18][720/1879] lr: 2.0000e-02 eta: 2 days, 15:35:23 time: 0.9161 data_time: 0.0344 memory: 11089 grad_norm: 3.8601 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0581 loss: 2.0581 2022/08/01 21:53:41 - mmengine - INFO - Epoch(train) [18][740/1879] lr: 2.0000e-02 eta: 2 days, 15:35:04 time: 0.9088 data_time: 0.0271 memory: 11089 grad_norm: 4.0040 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2529 loss: 2.2529 2022/08/01 21:53:59 - mmengine - INFO - Epoch(train) [18][760/1879] lr: 2.0000e-02 eta: 2 days, 15:34:45 time: 0.9163 data_time: 0.0255 memory: 11089 grad_norm: 3.9039 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9051 loss: 1.9051 2022/08/01 21:54:18 - mmengine - INFO - Epoch(train) [18][780/1879] lr: 2.0000e-02 eta: 2 days, 15:34:25 time: 0.9082 data_time: 0.0272 memory: 11089 grad_norm: 3.9954 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1700 loss: 2.1700 2022/08/01 21:54:36 - mmengine - INFO - Epoch(train) [18][800/1879] lr: 2.0000e-02 eta: 2 days, 15:34:08 time: 0.9301 data_time: 0.0323 memory: 11089 grad_norm: 3.9156 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8745 loss: 1.8745 2022/08/01 21:54:55 - mmengine - INFO - Epoch(train) [18][820/1879] lr: 2.0000e-02 eta: 2 days, 15:33:53 time: 0.9363 data_time: 0.0413 memory: 11089 grad_norm: 3.8570 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0632 loss: 2.0632 2022/08/01 21:55:13 - mmengine - INFO - Epoch(train) [18][840/1879] lr: 2.0000e-02 eta: 2 days, 15:33:32 time: 0.9061 data_time: 0.0274 memory: 11089 grad_norm: 3.8620 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8500 loss: 1.8500 2022/08/01 21:55:31 - mmengine - INFO - Epoch(train) [18][860/1879] lr: 2.0000e-02 eta: 2 days, 15:33:12 time: 0.9039 data_time: 0.0320 memory: 11089 grad_norm: 3.8443 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0621 loss: 2.0621 2022/08/01 21:55:50 - mmengine - INFO - Epoch(train) [18][880/1879] lr: 2.0000e-02 eta: 2 days, 15:32:54 time: 0.9256 data_time: 0.0284 memory: 11089 grad_norm: 3.8728 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3481 loss: 2.3481 2022/08/01 21:56:08 - mmengine - INFO - Epoch(train) [18][900/1879] lr: 2.0000e-02 eta: 2 days, 15:32:38 time: 0.9294 data_time: 0.0309 memory: 11089 grad_norm: 3.9246 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1472 loss: 2.1472 2022/08/01 21:56:27 - mmengine - INFO - Epoch(train) [18][920/1879] lr: 2.0000e-02 eta: 2 days, 15:32:21 time: 0.9283 data_time: 0.0291 memory: 11089 grad_norm: 3.8374 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9767 loss: 1.9767 2022/08/01 21:56:45 - mmengine - INFO - Epoch(train) [18][940/1879] lr: 2.0000e-02 eta: 2 days, 15:32:01 time: 0.9121 data_time: 0.0266 memory: 11089 grad_norm: 3.9400 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2656 loss: 2.2656 2022/08/01 21:57:04 - mmengine - INFO - Epoch(train) [18][960/1879] lr: 2.0000e-02 eta: 2 days, 15:31:46 time: 0.9374 data_time: 0.0324 memory: 11089 grad_norm: 3.8488 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2705 loss: 2.2705 2022/08/01 21:57:22 - mmengine - INFO - Epoch(train) [18][980/1879] lr: 2.0000e-02 eta: 2 days, 15:31:27 time: 0.9133 data_time: 0.0348 memory: 11089 grad_norm: 3.9244 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2657 loss: 2.2657 2022/08/01 21:57:40 - mmengine - INFO - Epoch(train) [18][1000/1879] lr: 2.0000e-02 eta: 2 days, 15:31:07 time: 0.9135 data_time: 0.0331 memory: 11089 grad_norm: 3.8820 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2491 loss: 2.2491 2022/08/01 21:57:59 - mmengine - INFO - Epoch(train) [18][1020/1879] lr: 2.0000e-02 eta: 2 days, 15:30:53 time: 0.9476 data_time: 0.0364 memory: 11089 grad_norm: 3.9852 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0943 loss: 2.0943 2022/08/01 21:58:18 - mmengine - INFO - Epoch(train) [18][1040/1879] lr: 2.0000e-02 eta: 2 days, 15:30:35 time: 0.9184 data_time: 0.0273 memory: 11089 grad_norm: 4.0182 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1866 loss: 2.1866 2022/08/01 21:58:33 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 21:58:36 - mmengine - INFO - Epoch(train) [18][1060/1879] lr: 2.0000e-02 eta: 2 days, 15:30:17 time: 0.9231 data_time: 0.0323 memory: 11089 grad_norm: 3.9176 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1102 loss: 2.1102 2022/08/01 21:58:54 - mmengine - INFO - Epoch(train) [18][1080/1879] lr: 2.0000e-02 eta: 2 days, 15:29:58 time: 0.9136 data_time: 0.0341 memory: 11089 grad_norm: 3.9764 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1491 loss: 2.1491 2022/08/01 21:59:12 - mmengine - INFO - Epoch(train) [18][1100/1879] lr: 2.0000e-02 eta: 2 days, 15:29:38 time: 0.9094 data_time: 0.0334 memory: 11089 grad_norm: 3.9409 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0644 loss: 2.0644 2022/08/01 21:59:31 - mmengine - INFO - Epoch(train) [18][1120/1879] lr: 2.0000e-02 eta: 2 days, 15:29:19 time: 0.9132 data_time: 0.0244 memory: 11089 grad_norm: 3.9535 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3454 loss: 2.3454 2022/08/01 21:59:49 - mmengine - INFO - Epoch(train) [18][1140/1879] lr: 2.0000e-02 eta: 2 days, 15:29:03 time: 0.9353 data_time: 0.0267 memory: 11089 grad_norm: 3.7667 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.2581 loss: 2.2581 2022/08/01 22:00:08 - mmengine - INFO - Epoch(train) [18][1160/1879] lr: 2.0000e-02 eta: 2 days, 15:28:45 time: 0.9196 data_time: 0.0356 memory: 11089 grad_norm: 3.8760 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9997 loss: 1.9997 2022/08/01 22:00:27 - mmengine - INFO - Epoch(train) [18][1180/1879] lr: 2.0000e-02 eta: 2 days, 15:28:29 time: 0.9339 data_time: 0.0285 memory: 11089 grad_norm: 3.9016 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2164 loss: 2.2164 2022/08/01 22:00:45 - mmengine - INFO - Epoch(train) [18][1200/1879] lr: 2.0000e-02 eta: 2 days, 15:28:08 time: 0.9030 data_time: 0.0307 memory: 11089 grad_norm: 3.7896 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2107 loss: 2.2107 2022/08/01 22:01:03 - mmengine - INFO - Epoch(train) [18][1220/1879] lr: 2.0000e-02 eta: 2 days, 15:27:50 time: 0.9164 data_time: 0.0366 memory: 11089 grad_norm: 3.8154 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9306 loss: 1.9306 2022/08/01 22:01:21 - mmengine - INFO - Epoch(train) [18][1240/1879] lr: 2.0000e-02 eta: 2 days, 15:27:27 time: 0.8925 data_time: 0.0278 memory: 11089 grad_norm: 3.8160 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3148 loss: 2.3148 2022/08/01 22:01:39 - mmengine - INFO - Epoch(train) [18][1260/1879] lr: 2.0000e-02 eta: 2 days, 15:27:10 time: 0.9258 data_time: 0.0282 memory: 11089 grad_norm: 3.9039 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0978 loss: 2.0978 2022/08/01 22:01:58 - mmengine - INFO - Epoch(train) [18][1280/1879] lr: 2.0000e-02 eta: 2 days, 15:26:51 time: 0.9175 data_time: 0.0298 memory: 11089 grad_norm: 3.9006 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1555 loss: 2.1555 2022/08/01 22:02:16 - mmengine - INFO - Epoch(train) [18][1300/1879] lr: 2.0000e-02 eta: 2 days, 15:26:33 time: 0.9218 data_time: 0.0307 memory: 11089 grad_norm: 3.9277 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3044 loss: 2.3044 2022/08/01 22:02:35 - mmengine - INFO - Epoch(train) [18][1320/1879] lr: 2.0000e-02 eta: 2 days, 15:26:18 time: 0.9395 data_time: 0.0333 memory: 11089 grad_norm: 3.8360 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1047 loss: 2.1047 2022/08/01 22:02:53 - mmengine - INFO - Epoch(train) [18][1340/1879] lr: 2.0000e-02 eta: 2 days, 15:25:59 time: 0.9132 data_time: 0.0384 memory: 11089 grad_norm: 3.9351 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0900 loss: 2.0900 2022/08/01 22:03:11 - mmengine - INFO - Epoch(train) [18][1360/1879] lr: 2.0000e-02 eta: 2 days, 15:25:38 time: 0.9017 data_time: 0.0307 memory: 11089 grad_norm: 3.8603 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0786 loss: 2.0786 2022/08/01 22:03:30 - mmengine - INFO - Epoch(train) [18][1380/1879] lr: 2.0000e-02 eta: 2 days, 15:25:21 time: 0.9284 data_time: 0.0278 memory: 11089 grad_norm: 3.8085 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8702 loss: 1.8702 2022/08/01 22:03:48 - mmengine - INFO - Epoch(train) [18][1400/1879] lr: 2.0000e-02 eta: 2 days, 15:25:04 time: 0.9283 data_time: 0.0328 memory: 11089 grad_norm: 3.8213 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2154 loss: 2.2154 2022/08/01 22:04:07 - mmengine - INFO - Epoch(train) [18][1420/1879] lr: 2.0000e-02 eta: 2 days, 15:24:49 time: 0.9383 data_time: 0.0384 memory: 11089 grad_norm: 3.7943 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9353 loss: 1.9353 2022/08/01 22:04:25 - mmengine - INFO - Epoch(train) [18][1440/1879] lr: 2.0000e-02 eta: 2 days, 15:24:29 time: 0.9084 data_time: 0.0300 memory: 11089 grad_norm: 3.8855 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1332 loss: 2.1332 2022/08/01 22:04:43 - mmengine - INFO - Epoch(train) [18][1460/1879] lr: 2.0000e-02 eta: 2 days, 15:24:07 time: 0.8943 data_time: 0.0283 memory: 11089 grad_norm: 3.9067 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2495 loss: 2.2495 2022/08/01 22:05:01 - mmengine - INFO - Epoch(train) [18][1480/1879] lr: 2.0000e-02 eta: 2 days, 15:23:46 time: 0.9044 data_time: 0.0293 memory: 11089 grad_norm: 3.7914 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0657 loss: 2.0657 2022/08/01 22:05:20 - mmengine - INFO - Epoch(train) [18][1500/1879] lr: 2.0000e-02 eta: 2 days, 15:23:31 time: 0.9386 data_time: 0.0281 memory: 11089 grad_norm: 3.8361 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9369 loss: 1.9369 2022/08/01 22:05:38 - mmengine - INFO - Epoch(train) [18][1520/1879] lr: 2.0000e-02 eta: 2 days, 15:23:12 time: 0.9165 data_time: 0.0255 memory: 11089 grad_norm: 3.9152 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2068 loss: 2.2068 2022/08/01 22:05:57 - mmengine - INFO - Epoch(train) [18][1540/1879] lr: 2.0000e-02 eta: 2 days, 15:22:54 time: 0.9204 data_time: 0.0263 memory: 11089 grad_norm: 3.7944 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1654 loss: 2.1654 2022/08/01 22:06:15 - mmengine - INFO - Epoch(train) [18][1560/1879] lr: 2.0000e-02 eta: 2 days, 15:22:36 time: 0.9192 data_time: 0.0247 memory: 11089 grad_norm: 3.8094 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9974 loss: 1.9974 2022/08/01 22:06:33 - mmengine - INFO - Epoch(train) [18][1580/1879] lr: 2.0000e-02 eta: 2 days, 15:22:17 time: 0.9134 data_time: 0.0353 memory: 11089 grad_norm: 3.7173 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8503 loss: 1.8503 2022/08/01 22:06:51 - mmengine - INFO - Epoch(train) [18][1600/1879] lr: 2.0000e-02 eta: 2 days, 15:21:53 time: 0.8838 data_time: 0.0223 memory: 11089 grad_norm: 3.7977 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8609 loss: 1.8609 2022/08/01 22:07:10 - mmengine - INFO - Epoch(train) [18][1620/1879] lr: 2.0000e-02 eta: 2 days, 15:21:37 time: 0.9314 data_time: 0.0290 memory: 11089 grad_norm: 3.8309 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2851 loss: 2.2851 2022/08/01 22:07:28 - mmengine - INFO - Epoch(train) [18][1640/1879] lr: 2.0000e-02 eta: 2 days, 15:21:19 time: 0.9234 data_time: 0.0275 memory: 11089 grad_norm: 3.8261 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1205 loss: 2.1205 2022/08/01 22:07:46 - mmengine - INFO - Epoch(train) [18][1660/1879] lr: 2.0000e-02 eta: 2 days, 15:20:57 time: 0.8963 data_time: 0.0236 memory: 11089 grad_norm: 3.7841 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0239 loss: 2.0239 2022/08/01 22:08:04 - mmengine - INFO - Epoch(train) [18][1680/1879] lr: 2.0000e-02 eta: 2 days, 15:20:38 time: 0.9161 data_time: 0.0298 memory: 11089 grad_norm: 3.8225 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8762 loss: 1.8762 2022/08/01 22:08:22 - mmengine - INFO - Epoch(train) [18][1700/1879] lr: 2.0000e-02 eta: 2 days, 15:20:18 time: 0.9026 data_time: 0.0276 memory: 11089 grad_norm: 3.8239 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1931 loss: 2.1931 2022/08/01 22:08:41 - mmengine - INFO - Epoch(train) [18][1720/1879] lr: 2.0000e-02 eta: 2 days, 15:20:03 time: 0.9422 data_time: 0.0297 memory: 11089 grad_norm: 3.8921 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0689 loss: 2.0689 2022/08/01 22:09:00 - mmengine - INFO - Epoch(train) [18][1740/1879] lr: 2.0000e-02 eta: 2 days, 15:19:47 time: 0.9391 data_time: 0.0356 memory: 11089 grad_norm: 3.9058 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8763 loss: 1.8763 2022/08/01 22:09:19 - mmengine - INFO - Epoch(train) [18][1760/1879] lr: 2.0000e-02 eta: 2 days, 15:19:31 time: 0.9322 data_time: 0.0354 memory: 11089 grad_norm: 3.9377 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1613 loss: 2.1613 2022/08/01 22:09:37 - mmengine - INFO - Epoch(train) [18][1780/1879] lr: 2.0000e-02 eta: 2 days, 15:19:13 time: 0.9236 data_time: 0.0349 memory: 11089 grad_norm: 3.8511 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0508 loss: 2.0508 2022/08/01 22:09:56 - mmengine - INFO - Epoch(train) [18][1800/1879] lr: 2.0000e-02 eta: 2 days, 15:18:57 time: 0.9341 data_time: 0.0322 memory: 11089 grad_norm: 3.7666 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2666 loss: 2.2666 2022/08/01 22:10:14 - mmengine - INFO - Epoch(train) [18][1820/1879] lr: 2.0000e-02 eta: 2 days, 15:18:38 time: 0.9126 data_time: 0.0270 memory: 11089 grad_norm: 3.7411 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0231 loss: 2.0231 2022/08/01 22:10:32 - mmengine - INFO - Epoch(train) [18][1840/1879] lr: 2.0000e-02 eta: 2 days, 15:18:19 time: 0.9107 data_time: 0.0275 memory: 11089 grad_norm: 3.7922 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8939 loss: 1.8939 2022/08/01 22:10:51 - mmengine - INFO - Epoch(train) [18][1860/1879] lr: 2.0000e-02 eta: 2 days, 15:17:59 time: 0.9083 data_time: 0.0218 memory: 11089 grad_norm: 3.8740 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2228 loss: 2.2228 2022/08/01 22:11:08 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 22:11:08 - mmengine - INFO - Epoch(train) [18][1879/1879] lr: 2.0000e-02 eta: 2 days, 15:17:59 time: 0.9063 data_time: 0.0334 memory: 11089 grad_norm: 3.9019 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.0168 loss: 2.0168 2022/08/01 22:11:28 - mmengine - INFO - Epoch(train) [19][20/1879] lr: 2.0000e-02 eta: 2 days, 15:15:25 time: 0.9901 data_time: 0.1196 memory: 11089 grad_norm: 3.8500 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0889 loss: 2.0889 2022/08/01 22:11:46 - mmengine - INFO - Epoch(train) [19][40/1879] lr: 2.0000e-02 eta: 2 days, 15:15:06 time: 0.9097 data_time: 0.0297 memory: 11089 grad_norm: 3.7629 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0785 loss: 2.0785 2022/08/01 22:12:04 - mmengine - INFO - Epoch(train) [19][60/1879] lr: 2.0000e-02 eta: 2 days, 15:14:46 time: 0.9083 data_time: 0.0287 memory: 11089 grad_norm: 3.7287 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0941 loss: 2.0941 2022/08/01 22:12:22 - mmengine - INFO - Epoch(train) [19][80/1879] lr: 2.0000e-02 eta: 2 days, 15:14:27 time: 0.9128 data_time: 0.0283 memory: 11089 grad_norm: 3.8285 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0622 loss: 2.0622 2022/08/01 22:12:41 - mmengine - INFO - Epoch(train) [19][100/1879] lr: 2.0000e-02 eta: 2 days, 15:14:08 time: 0.9163 data_time: 0.0319 memory: 11089 grad_norm: 3.8270 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1037 loss: 2.1037 2022/08/01 22:12:59 - mmengine - INFO - Epoch(train) [19][120/1879] lr: 2.0000e-02 eta: 2 days, 15:13:53 time: 0.9393 data_time: 0.0288 memory: 11089 grad_norm: 3.8322 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0442 loss: 2.0442 2022/08/01 22:13:18 - mmengine - INFO - Epoch(train) [19][140/1879] lr: 2.0000e-02 eta: 2 days, 15:13:35 time: 0.9227 data_time: 0.0248 memory: 11089 grad_norm: 3.9423 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2819 loss: 2.2819 2022/08/01 22:13:37 - mmengine - INFO - Epoch(train) [19][160/1879] lr: 2.0000e-02 eta: 2 days, 15:13:20 time: 0.9386 data_time: 0.0334 memory: 11089 grad_norm: 3.7645 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.0443 loss: 2.0443 2022/08/01 22:13:53 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 22:13:55 - mmengine - INFO - Epoch(train) [19][180/1879] lr: 2.0000e-02 eta: 2 days, 15:12:58 time: 0.8964 data_time: 0.0268 memory: 11089 grad_norm: 3.7928 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0460 loss: 2.0460 2022/08/01 22:14:13 - mmengine - INFO - Epoch(train) [19][200/1879] lr: 2.0000e-02 eta: 2 days, 15:12:37 time: 0.8996 data_time: 0.0262 memory: 11089 grad_norm: 3.9533 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1430 loss: 2.1430 2022/08/01 22:14:31 - mmengine - INFO - Epoch(train) [19][220/1879] lr: 2.0000e-02 eta: 2 days, 15:12:19 time: 0.9201 data_time: 0.0290 memory: 11089 grad_norm: 3.7860 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1101 loss: 2.1101 2022/08/01 22:14:50 - mmengine - INFO - Epoch(train) [19][240/1879] lr: 2.0000e-02 eta: 2 days, 15:12:02 time: 0.9294 data_time: 0.0323 memory: 11089 grad_norm: 3.9310 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1465 loss: 2.1465 2022/08/01 22:15:08 - mmengine - INFO - Epoch(train) [19][260/1879] lr: 2.0000e-02 eta: 2 days, 15:11:46 time: 0.9331 data_time: 0.0321 memory: 11089 grad_norm: 3.9063 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9776 loss: 1.9776 2022/08/01 22:15:27 - mmengine - INFO - Epoch(train) [19][280/1879] lr: 2.0000e-02 eta: 2 days, 15:11:28 time: 0.9223 data_time: 0.0354 memory: 11089 grad_norm: 3.7728 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1123 loss: 2.1123 2022/08/01 22:15:45 - mmengine - INFO - Epoch(train) [19][300/1879] lr: 2.0000e-02 eta: 2 days, 15:11:11 time: 0.9221 data_time: 0.0315 memory: 11089 grad_norm: 3.7873 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0054 loss: 2.0054 2022/08/01 22:16:04 - mmengine - INFO - Epoch(train) [19][320/1879] lr: 2.0000e-02 eta: 2 days, 15:10:53 time: 0.9256 data_time: 0.0238 memory: 11089 grad_norm: 3.8436 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9417 loss: 1.9417 2022/08/01 22:16:22 - mmengine - INFO - Epoch(train) [19][340/1879] lr: 2.0000e-02 eta: 2 days, 15:10:34 time: 0.9145 data_time: 0.0334 memory: 11089 grad_norm: 3.7102 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0093 loss: 2.0093 2022/08/01 22:16:40 - mmengine - INFO - Epoch(train) [19][360/1879] lr: 2.0000e-02 eta: 2 days, 15:10:16 time: 0.9204 data_time: 0.0249 memory: 11089 grad_norm: 3.9080 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1863 loss: 2.1863 2022/08/01 22:16:59 - mmengine - INFO - Epoch(train) [19][380/1879] lr: 2.0000e-02 eta: 2 days, 15:09:58 time: 0.9176 data_time: 0.0289 memory: 11089 grad_norm: 3.8662 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2045 loss: 2.2045 2022/08/01 22:17:17 - mmengine - INFO - Epoch(train) [19][400/1879] lr: 2.0000e-02 eta: 2 days, 15:09:39 time: 0.9139 data_time: 0.0297 memory: 11089 grad_norm: 3.8623 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2694 loss: 2.2694 2022/08/01 22:17:35 - mmengine - INFO - Epoch(train) [19][420/1879] lr: 2.0000e-02 eta: 2 days, 15:09:21 time: 0.9200 data_time: 0.0296 memory: 11089 grad_norm: 3.8645 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1321 loss: 2.1321 2022/08/01 22:17:53 - mmengine - INFO - Epoch(train) [19][440/1879] lr: 2.0000e-02 eta: 2 days, 15:09:00 time: 0.9017 data_time: 0.0342 memory: 11089 grad_norm: 3.8847 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1293 loss: 2.1293 2022/08/01 22:18:12 - mmengine - INFO - Epoch(train) [19][460/1879] lr: 2.0000e-02 eta: 2 days, 15:08:43 time: 0.9283 data_time: 0.0333 memory: 11089 grad_norm: 3.8928 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2161 loss: 2.2161 2022/08/01 22:18:31 - mmengine - INFO - Epoch(train) [19][480/1879] lr: 2.0000e-02 eta: 2 days, 15:08:29 time: 0.9454 data_time: 0.0363 memory: 11089 grad_norm: 3.7889 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1277 loss: 2.1277 2022/08/01 22:18:49 - mmengine - INFO - Epoch(train) [19][500/1879] lr: 2.0000e-02 eta: 2 days, 15:08:10 time: 0.9166 data_time: 0.0326 memory: 11089 grad_norm: 3.8313 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1305 loss: 2.1305 2022/08/01 22:19:08 - mmengine - INFO - Epoch(train) [19][520/1879] lr: 2.0000e-02 eta: 2 days, 15:07:51 time: 0.9173 data_time: 0.0308 memory: 11089 grad_norm: 3.8415 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9376 loss: 1.9376 2022/08/01 22:19:26 - mmengine - INFO - Epoch(train) [19][540/1879] lr: 2.0000e-02 eta: 2 days, 15:07:34 time: 0.9264 data_time: 0.0325 memory: 11089 grad_norm: 3.8478 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.2387 loss: 2.2387 2022/08/01 22:19:45 - mmengine - INFO - Epoch(train) [19][560/1879] lr: 2.0000e-02 eta: 2 days, 15:07:18 time: 0.9309 data_time: 0.0361 memory: 11089 grad_norm: 3.8103 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0037 loss: 2.0037 2022/08/01 22:20:03 - mmengine - INFO - Epoch(train) [19][580/1879] lr: 2.0000e-02 eta: 2 days, 15:06:59 time: 0.9135 data_time: 0.0372 memory: 11089 grad_norm: 3.9092 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.2938 loss: 2.2938 2022/08/01 22:20:22 - mmengine - INFO - Epoch(train) [19][600/1879] lr: 2.0000e-02 eta: 2 days, 15:06:43 time: 0.9376 data_time: 0.0293 memory: 11089 grad_norm: 3.9922 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 2.0710 loss: 2.0710 2022/08/01 22:20:40 - mmengine - INFO - Epoch(train) [19][620/1879] lr: 2.0000e-02 eta: 2 days, 15:06:23 time: 0.9081 data_time: 0.0305 memory: 11089 grad_norm: 3.9431 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0812 loss: 2.0812 2022/08/01 22:20:58 - mmengine - INFO - Epoch(train) [19][640/1879] lr: 2.0000e-02 eta: 2 days, 15:06:06 time: 0.9244 data_time: 0.0345 memory: 11089 grad_norm: 3.7811 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1663 loss: 2.1663 2022/08/01 22:21:17 - mmengine - INFO - Epoch(train) [19][660/1879] lr: 2.0000e-02 eta: 2 days, 15:05:46 time: 0.9070 data_time: 0.0239 memory: 11089 grad_norm: 3.8360 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0838 loss: 2.0838 2022/08/01 22:21:35 - mmengine - INFO - Epoch(train) [19][680/1879] lr: 2.0000e-02 eta: 2 days, 15:05:30 time: 0.9343 data_time: 0.0280 memory: 11089 grad_norm: 3.8834 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0121 loss: 2.0121 2022/08/01 22:21:53 - mmengine - INFO - Epoch(train) [19][700/1879] lr: 2.0000e-02 eta: 2 days, 15:05:10 time: 0.9100 data_time: 0.0359 memory: 11089 grad_norm: 3.9116 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0965 loss: 2.0965 2022/08/01 22:22:12 - mmengine - INFO - Epoch(train) [19][720/1879] lr: 2.0000e-02 eta: 2 days, 15:04:52 time: 0.9205 data_time: 0.0250 memory: 11089 grad_norm: 3.8836 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0939 loss: 2.0939 2022/08/01 22:22:31 - mmengine - INFO - Epoch(train) [19][740/1879] lr: 2.0000e-02 eta: 2 days, 15:04:37 time: 0.9390 data_time: 0.0330 memory: 11089 grad_norm: 3.8547 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9784 loss: 1.9784 2022/08/01 22:22:49 - mmengine - INFO - Epoch(train) [19][760/1879] lr: 2.0000e-02 eta: 2 days, 15:04:20 time: 0.9292 data_time: 0.0252 memory: 11089 grad_norm: 3.8648 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0248 loss: 2.0248 2022/08/01 22:23:08 - mmengine - INFO - Epoch(train) [19][780/1879] lr: 2.0000e-02 eta: 2 days, 15:04:01 time: 0.9156 data_time: 0.0311 memory: 11089 grad_norm: 3.9036 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0476 loss: 2.0476 2022/08/01 22:23:26 - mmengine - INFO - Epoch(train) [19][800/1879] lr: 2.0000e-02 eta: 2 days, 15:03:47 time: 0.9461 data_time: 0.0329 memory: 11089 grad_norm: 3.9051 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2620 loss: 2.2620 2022/08/01 22:23:45 - mmengine - INFO - Epoch(train) [19][820/1879] lr: 2.0000e-02 eta: 2 days, 15:03:29 time: 0.9253 data_time: 0.0292 memory: 11089 grad_norm: 3.9384 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2740 loss: 2.2740 2022/08/01 22:24:04 - mmengine - INFO - Epoch(train) [19][840/1879] lr: 2.0000e-02 eta: 2 days, 15:03:13 time: 0.9309 data_time: 0.0295 memory: 11089 grad_norm: 3.9409 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1862 loss: 2.1862 2022/08/01 22:24:22 - mmengine - INFO - Epoch(train) [19][860/1879] lr: 2.0000e-02 eta: 2 days, 15:02:53 time: 0.9047 data_time: 0.0304 memory: 11089 grad_norm: 3.7869 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8172 loss: 1.8172 2022/08/01 22:24:40 - mmengine - INFO - Epoch(train) [19][880/1879] lr: 2.0000e-02 eta: 2 days, 15:02:36 time: 0.9273 data_time: 0.0312 memory: 11089 grad_norm: 3.8671 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0645 loss: 2.0645 2022/08/01 22:24:59 - mmengine - INFO - Epoch(train) [19][900/1879] lr: 2.0000e-02 eta: 2 days, 15:02:18 time: 0.9248 data_time: 0.0280 memory: 11089 grad_norm: 3.8990 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9761 loss: 1.9761 2022/08/01 22:25:17 - mmengine - INFO - Epoch(train) [19][920/1879] lr: 2.0000e-02 eta: 2 days, 15:01:59 time: 0.9118 data_time: 0.0245 memory: 11089 grad_norm: 3.8470 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2754 loss: 2.2754 2022/08/01 22:25:36 - mmengine - INFO - Epoch(train) [19][940/1879] lr: 2.0000e-02 eta: 2 days, 15:01:42 time: 0.9317 data_time: 0.0274 memory: 11089 grad_norm: 3.9377 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0817 loss: 2.0817 2022/08/01 22:25:54 - mmengine - INFO - Epoch(train) [19][960/1879] lr: 2.0000e-02 eta: 2 days, 15:01:23 time: 0.9115 data_time: 0.0272 memory: 11089 grad_norm: 3.8709 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1340 loss: 2.1340 2022/08/01 22:26:12 - mmengine - INFO - Epoch(train) [19][980/1879] lr: 2.0000e-02 eta: 2 days, 15:01:04 time: 0.9155 data_time: 0.0247 memory: 11089 grad_norm: 3.9049 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0153 loss: 2.0153 2022/08/01 22:26:30 - mmengine - INFO - Epoch(train) [19][1000/1879] lr: 2.0000e-02 eta: 2 days, 15:00:45 time: 0.9144 data_time: 0.0333 memory: 11089 grad_norm: 3.8434 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1120 loss: 2.1120 2022/08/01 22:26:49 - mmengine - INFO - Epoch(train) [19][1020/1879] lr: 2.0000e-02 eta: 2 days, 15:00:29 time: 0.9328 data_time: 0.0339 memory: 11089 grad_norm: 3.7675 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8165 loss: 1.8165 2022/08/01 22:27:07 - mmengine - INFO - Epoch(train) [19][1040/1879] lr: 2.0000e-02 eta: 2 days, 15:00:09 time: 0.9046 data_time: 0.0300 memory: 11089 grad_norm: 3.8584 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0948 loss: 2.0948 2022/08/01 22:27:26 - mmengine - INFO - Epoch(train) [19][1060/1879] lr: 2.0000e-02 eta: 2 days, 14:59:51 time: 0.9223 data_time: 0.0362 memory: 11089 grad_norm: 3.7942 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9703 loss: 1.9703 2022/08/01 22:27:44 - mmengine - INFO - Epoch(train) [19][1080/1879] lr: 2.0000e-02 eta: 2 days, 14:59:30 time: 0.9040 data_time: 0.0258 memory: 11089 grad_norm: 3.7595 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8278 loss: 1.8278 2022/08/01 22:28:02 - mmengine - INFO - Epoch(train) [19][1100/1879] lr: 2.0000e-02 eta: 2 days, 14:59:11 time: 0.9082 data_time: 0.0272 memory: 11089 grad_norm: 3.8347 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1305 loss: 2.1305 2022/08/01 22:28:21 - mmengine - INFO - Epoch(train) [19][1120/1879] lr: 2.0000e-02 eta: 2 days, 14:58:57 time: 0.9517 data_time: 0.0328 memory: 11089 grad_norm: 3.9381 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0897 loss: 2.0897 2022/08/01 22:28:40 - mmengine - INFO - Epoch(train) [19][1140/1879] lr: 2.0000e-02 eta: 2 days, 14:58:44 time: 0.9533 data_time: 0.0302 memory: 11089 grad_norm: 3.9569 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0191 loss: 2.0191 2022/08/01 22:28:58 - mmengine - INFO - Epoch(train) [19][1160/1879] lr: 2.0000e-02 eta: 2 days, 14:58:26 time: 0.9240 data_time: 0.0345 memory: 11089 grad_norm: 3.8060 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9236 loss: 1.9236 2022/08/01 22:29:15 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 22:29:17 - mmengine - INFO - Epoch(train) [19][1180/1879] lr: 2.0000e-02 eta: 2 days, 14:58:09 time: 0.9277 data_time: 0.0316 memory: 11089 grad_norm: 3.8411 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0252 loss: 2.0252 2022/08/01 22:29:35 - mmengine - INFO - Epoch(train) [19][1200/1879] lr: 2.0000e-02 eta: 2 days, 14:57:49 time: 0.9092 data_time: 0.0384 memory: 11089 grad_norm: 3.9890 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0166 loss: 2.0166 2022/08/01 22:29:54 - mmengine - INFO - Epoch(train) [19][1220/1879] lr: 2.0000e-02 eta: 2 days, 14:57:33 time: 0.9345 data_time: 0.0433 memory: 11089 grad_norm: 3.9062 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0467 loss: 2.0467 2022/08/01 22:30:12 - mmengine - INFO - Epoch(train) [19][1240/1879] lr: 2.0000e-02 eta: 2 days, 14:57:14 time: 0.9141 data_time: 0.0318 memory: 11089 grad_norm: 3.9033 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1497 loss: 2.1497 2022/08/01 22:30:31 - mmengine - INFO - Epoch(train) [19][1260/1879] lr: 2.0000e-02 eta: 2 days, 14:56:58 time: 0.9323 data_time: 0.0321 memory: 11089 grad_norm: 3.7034 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0165 loss: 2.0165 2022/08/01 22:30:49 - mmengine - INFO - Epoch(train) [19][1280/1879] lr: 2.0000e-02 eta: 2 days, 14:56:38 time: 0.9102 data_time: 0.0312 memory: 11089 grad_norm: 3.8447 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0899 loss: 2.0899 2022/08/01 22:31:08 - mmengine - INFO - Epoch(train) [19][1300/1879] lr: 2.0000e-02 eta: 2 days, 14:56:23 time: 0.9381 data_time: 0.0376 memory: 11089 grad_norm: 3.8309 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3652 loss: 2.3652 2022/08/01 22:31:26 - mmengine - INFO - Epoch(train) [19][1320/1879] lr: 2.0000e-02 eta: 2 days, 14:56:05 time: 0.9202 data_time: 0.0307 memory: 11089 grad_norm: 3.7573 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9445 loss: 1.9445 2022/08/01 22:31:44 - mmengine - INFO - Epoch(train) [19][1340/1879] lr: 2.0000e-02 eta: 2 days, 14:55:46 time: 0.9162 data_time: 0.0260 memory: 11089 grad_norm: 3.8033 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.3793 loss: 2.3793 2022/08/01 22:32:03 - mmengine - INFO - Epoch(train) [19][1360/1879] lr: 2.0000e-02 eta: 2 days, 14:55:30 time: 0.9315 data_time: 0.0341 memory: 11089 grad_norm: 3.7266 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0290 loss: 2.0290 2022/08/01 22:32:22 - mmengine - INFO - Epoch(train) [19][1380/1879] lr: 2.0000e-02 eta: 2 days, 14:55:12 time: 0.9219 data_time: 0.0290 memory: 11089 grad_norm: 3.8355 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1636 loss: 2.1636 2022/08/01 22:32:40 - mmengine - INFO - Epoch(train) [19][1400/1879] lr: 2.0000e-02 eta: 2 days, 14:54:51 time: 0.8996 data_time: 0.0238 memory: 11089 grad_norm: 3.8571 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2569 loss: 2.2569 2022/08/01 22:32:58 - mmengine - INFO - Epoch(train) [19][1420/1879] lr: 2.0000e-02 eta: 2 days, 14:54:31 time: 0.9119 data_time: 0.0297 memory: 11089 grad_norm: 3.7937 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0349 loss: 2.0349 2022/08/01 22:33:16 - mmengine - INFO - Epoch(train) [19][1440/1879] lr: 2.0000e-02 eta: 2 days, 14:54:10 time: 0.8959 data_time: 0.0212 memory: 11089 grad_norm: 3.8310 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0793 loss: 2.0793 2022/08/01 22:33:34 - mmengine - INFO - Epoch(train) [19][1460/1879] lr: 2.0000e-02 eta: 2 days, 14:53:51 time: 0.9180 data_time: 0.0297 memory: 11089 grad_norm: 3.7958 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.2461 loss: 2.2461 2022/08/01 22:33:53 - mmengine - INFO - Epoch(train) [19][1480/1879] lr: 2.0000e-02 eta: 2 days, 14:53:34 time: 0.9273 data_time: 0.0294 memory: 11089 grad_norm: 3.8908 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1920 loss: 2.1920 2022/08/01 22:34:11 - mmengine - INFO - Epoch(train) [19][1500/1879] lr: 2.0000e-02 eta: 2 days, 14:53:18 time: 0.9328 data_time: 0.0328 memory: 11089 grad_norm: 3.7938 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8970 loss: 1.8970 2022/08/01 22:34:29 - mmengine - INFO - Epoch(train) [19][1520/1879] lr: 2.0000e-02 eta: 2 days, 14:52:58 time: 0.9085 data_time: 0.0275 memory: 11089 grad_norm: 3.7598 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9663 loss: 1.9663 2022/08/01 22:34:48 - mmengine - INFO - Epoch(train) [19][1540/1879] lr: 2.0000e-02 eta: 2 days, 14:52:41 time: 0.9295 data_time: 0.0339 memory: 11089 grad_norm: 3.7823 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0085 loss: 2.0085 2022/08/01 22:35:06 - mmengine - INFO - Epoch(train) [19][1560/1879] lr: 2.0000e-02 eta: 2 days, 14:52:22 time: 0.9113 data_time: 0.0309 memory: 11089 grad_norm: 3.8516 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0015 loss: 2.0015 2022/08/01 22:35:25 - mmengine - INFO - Epoch(train) [19][1580/1879] lr: 2.0000e-02 eta: 2 days, 14:52:03 time: 0.9146 data_time: 0.0233 memory: 11089 grad_norm: 3.9459 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0593 loss: 2.0593 2022/08/01 22:35:43 - mmengine - INFO - Epoch(train) [19][1600/1879] lr: 2.0000e-02 eta: 2 days, 14:51:46 time: 0.9273 data_time: 0.0294 memory: 11089 grad_norm: 3.9997 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9488 loss: 1.9488 2022/08/01 22:36:02 - mmengine - INFO - Epoch(train) [19][1620/1879] lr: 2.0000e-02 eta: 2 days, 14:51:31 time: 0.9390 data_time: 0.0303 memory: 11089 grad_norm: 3.8075 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9541 loss: 1.9541 2022/08/01 22:36:18 - mmengine - INFO - Epoch(train) [19][1640/1879] lr: 2.0000e-02 eta: 2 days, 14:50:54 time: 0.7884 data_time: 0.0279 memory: 11089 grad_norm: 3.8233 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0360 loss: 2.0360 2022/08/01 22:36:36 - mmengine - INFO - Epoch(train) [19][1660/1879] lr: 2.0000e-02 eta: 2 days, 14:50:37 time: 0.9255 data_time: 0.0352 memory: 11089 grad_norm: 3.8733 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1767 loss: 2.1767 2022/08/01 22:36:54 - mmengine - INFO - Epoch(train) [19][1680/1879] lr: 2.0000e-02 eta: 2 days, 14:50:17 time: 0.9098 data_time: 0.0257 memory: 11089 grad_norm: 3.9183 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1616 loss: 2.1616 2022/08/01 22:37:13 - mmengine - INFO - Epoch(train) [19][1700/1879] lr: 2.0000e-02 eta: 2 days, 14:49:59 time: 0.9177 data_time: 0.0275 memory: 11089 grad_norm: 3.7949 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0101 loss: 2.0101 2022/08/01 22:37:31 - mmengine - INFO - Epoch(train) [19][1720/1879] lr: 2.0000e-02 eta: 2 days, 14:49:38 time: 0.9015 data_time: 0.0237 memory: 11089 grad_norm: 3.7993 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1346 loss: 2.1346 2022/08/01 22:37:49 - mmengine - INFO - Epoch(train) [19][1740/1879] lr: 2.0000e-02 eta: 2 days, 14:49:20 time: 0.9175 data_time: 0.0342 memory: 11089 grad_norm: 3.7639 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9373 loss: 1.9373 2022/08/01 22:38:08 - mmengine - INFO - Epoch(train) [19][1760/1879] lr: 2.0000e-02 eta: 2 days, 14:49:05 time: 0.9455 data_time: 0.0398 memory: 11089 grad_norm: 3.8188 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1106 loss: 2.1106 2022/08/01 22:38:27 - mmengine - INFO - Epoch(train) [19][1780/1879] lr: 2.0000e-02 eta: 2 days, 14:48:47 time: 0.9215 data_time: 0.0323 memory: 11089 grad_norm: 3.8419 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1311 loss: 2.1311 2022/08/01 22:38:45 - mmengine - INFO - Epoch(train) [19][1800/1879] lr: 2.0000e-02 eta: 2 days, 14:48:27 time: 0.9086 data_time: 0.0326 memory: 11089 grad_norm: 3.7960 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1148 loss: 2.1148 2022/08/01 22:39:03 - mmengine - INFO - Epoch(train) [19][1820/1879] lr: 2.0000e-02 eta: 2 days, 14:48:09 time: 0.9177 data_time: 0.0280 memory: 11089 grad_norm: 3.8082 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9512 loss: 1.9512 2022/08/01 22:39:22 - mmengine - INFO - Epoch(train) [19][1840/1879] lr: 2.0000e-02 eta: 2 days, 14:47:52 time: 0.9314 data_time: 0.0267 memory: 11089 grad_norm: 3.9209 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0913 loss: 2.0913 2022/08/01 22:39:40 - mmengine - INFO - Epoch(train) [19][1860/1879] lr: 2.0000e-02 eta: 2 days, 14:47:34 time: 0.9206 data_time: 0.0339 memory: 11089 grad_norm: 3.8234 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3336 loss: 2.3336 2022/08/01 22:39:58 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 22:39:58 - mmengine - INFO - Epoch(train) [19][1879/1879] lr: 2.0000e-02 eta: 2 days, 14:47:34 time: 0.9249 data_time: 0.0300 memory: 11089 grad_norm: 3.9281 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.0975 loss: 2.0975 2022/08/01 22:40:18 - mmengine - INFO - Epoch(train) [20][20/1879] lr: 2.0000e-02 eta: 2 days, 14:45:14 time: 1.0311 data_time: 0.1477 memory: 11089 grad_norm: 3.8310 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0181 loss: 2.0181 2022/08/01 22:40:37 - mmengine - INFO - Epoch(train) [20][40/1879] lr: 2.0000e-02 eta: 2 days, 14:44:54 time: 0.9065 data_time: 0.0291 memory: 11089 grad_norm: 3.7041 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2141 loss: 2.2141 2022/08/01 22:40:55 - mmengine - INFO - Epoch(train) [20][60/1879] lr: 2.0000e-02 eta: 2 days, 14:44:36 time: 0.9175 data_time: 0.0269 memory: 11089 grad_norm: 3.7727 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9498 loss: 1.9498 2022/08/01 22:41:13 - mmengine - INFO - Epoch(train) [20][80/1879] lr: 2.0000e-02 eta: 2 days, 14:44:18 time: 0.9249 data_time: 0.0344 memory: 11089 grad_norm: 3.8295 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0795 loss: 2.0795 2022/08/01 22:41:32 - mmengine - INFO - Epoch(train) [20][100/1879] lr: 2.0000e-02 eta: 2 days, 14:44:02 time: 0.9318 data_time: 0.0385 memory: 11089 grad_norm: 3.8206 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7473 loss: 1.7473 2022/08/01 22:41:50 - mmengine - INFO - Epoch(train) [20][120/1879] lr: 2.0000e-02 eta: 2 days, 14:43:44 time: 0.9208 data_time: 0.0327 memory: 11089 grad_norm: 3.8736 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9742 loss: 1.9742 2022/08/01 22:42:09 - mmengine - INFO - Epoch(train) [20][140/1879] lr: 2.0000e-02 eta: 2 days, 14:43:29 time: 0.9412 data_time: 0.0369 memory: 11089 grad_norm: 3.8829 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7310 loss: 1.7310 2022/08/01 22:42:28 - mmengine - INFO - Epoch(train) [20][160/1879] lr: 2.0000e-02 eta: 2 days, 14:43:10 time: 0.9182 data_time: 0.0322 memory: 11089 grad_norm: 3.8648 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1457 loss: 2.1457 2022/08/01 22:42:46 - mmengine - INFO - Epoch(train) [20][180/1879] lr: 2.0000e-02 eta: 2 days, 14:42:49 time: 0.9002 data_time: 0.0263 memory: 11089 grad_norm: 3.7616 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9790 loss: 1.9790 2022/08/01 22:43:04 - mmengine - INFO - Epoch(train) [20][200/1879] lr: 2.0000e-02 eta: 2 days, 14:42:32 time: 0.9269 data_time: 0.0298 memory: 11089 grad_norm: 3.7600 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1547 loss: 2.1547 2022/08/01 22:43:22 - mmengine - INFO - Epoch(train) [20][220/1879] lr: 2.0000e-02 eta: 2 days, 14:42:13 time: 0.9134 data_time: 0.0328 memory: 11089 grad_norm: 3.8828 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0251 loss: 2.0251 2022/08/01 22:43:41 - mmengine - INFO - Epoch(train) [20][240/1879] lr: 2.0000e-02 eta: 2 days, 14:41:54 time: 0.9105 data_time: 0.0314 memory: 11089 grad_norm: 3.8215 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1001 loss: 2.1001 2022/08/01 22:43:59 - mmengine - INFO - Epoch(train) [20][260/1879] lr: 2.0000e-02 eta: 2 days, 14:41:35 time: 0.9126 data_time: 0.0285 memory: 11089 grad_norm: 3.9094 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2091 loss: 2.2091 2022/08/01 22:44:17 - mmengine - INFO - Epoch(train) [20][280/1879] lr: 2.0000e-02 eta: 2 days, 14:41:16 time: 0.9106 data_time: 0.0293 memory: 11089 grad_norm: 3.8188 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0682 loss: 2.0682 2022/08/01 22:44:35 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 22:44:36 - mmengine - INFO - Epoch(train) [20][300/1879] lr: 2.0000e-02 eta: 2 days, 14:40:58 time: 0.9265 data_time: 0.0256 memory: 11089 grad_norm: 3.7453 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9142 loss: 1.9142 2022/08/01 22:44:54 - mmengine - INFO - Epoch(train) [20][320/1879] lr: 2.0000e-02 eta: 2 days, 14:40:41 time: 0.9265 data_time: 0.0340 memory: 11089 grad_norm: 3.8001 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8755 loss: 1.8755 2022/08/01 22:45:13 - mmengine - INFO - Epoch(train) [20][340/1879] lr: 2.0000e-02 eta: 2 days, 14:40:30 time: 0.9675 data_time: 0.0356 memory: 11089 grad_norm: 3.7961 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9931 loss: 1.9931 2022/08/01 22:45:32 - mmengine - INFO - Epoch(train) [20][360/1879] lr: 2.0000e-02 eta: 2 days, 14:40:10 time: 0.9080 data_time: 0.0365 memory: 11089 grad_norm: 3.9337 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1615 loss: 2.1615 2022/08/01 22:45:50 - mmengine - INFO - Epoch(train) [20][380/1879] lr: 2.0000e-02 eta: 2 days, 14:39:50 time: 0.9084 data_time: 0.0268 memory: 11089 grad_norm: 3.8659 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.0642 loss: 2.0642 2022/08/01 22:46:08 - mmengine - INFO - Epoch(train) [20][400/1879] lr: 2.0000e-02 eta: 2 days, 14:39:31 time: 0.9103 data_time: 0.0312 memory: 11089 grad_norm: 3.8328 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9816 loss: 1.9816 2022/08/01 22:46:26 - mmengine - INFO - Epoch(train) [20][420/1879] lr: 2.0000e-02 eta: 2 days, 14:39:11 time: 0.9066 data_time: 0.0266 memory: 11089 grad_norm: 3.8994 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1099 loss: 2.1099 2022/08/01 22:46:45 - mmengine - INFO - Epoch(train) [20][440/1879] lr: 2.0000e-02 eta: 2 days, 14:38:55 time: 0.9358 data_time: 0.0313 memory: 11089 grad_norm: 3.8945 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8691 loss: 1.8691 2022/08/01 22:47:04 - mmengine - INFO - Epoch(train) [20][460/1879] lr: 2.0000e-02 eta: 2 days, 14:38:39 time: 0.9329 data_time: 0.0337 memory: 11089 grad_norm: 3.8745 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0973 loss: 2.0973 2022/08/01 22:47:22 - mmengine - INFO - Epoch(train) [20][480/1879] lr: 2.0000e-02 eta: 2 days, 14:38:24 time: 0.9476 data_time: 0.0333 memory: 11089 grad_norm: 3.8023 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0229 loss: 2.0229 2022/08/01 22:47:41 - mmengine - INFO - Epoch(train) [20][500/1879] lr: 2.0000e-02 eta: 2 days, 14:38:06 time: 0.9150 data_time: 0.0303 memory: 11089 grad_norm: 3.8909 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0462 loss: 2.0462 2022/08/01 22:47:59 - mmengine - INFO - Epoch(train) [20][520/1879] lr: 2.0000e-02 eta: 2 days, 14:37:49 time: 0.9308 data_time: 0.0324 memory: 11089 grad_norm: 3.7652 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.2232 loss: 2.2232 2022/08/01 22:48:17 - mmengine - INFO - Epoch(train) [20][540/1879] lr: 2.0000e-02 eta: 2 days, 14:37:27 time: 0.8887 data_time: 0.0248 memory: 11089 grad_norm: 3.8729 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1011 loss: 2.1011 2022/08/01 22:48:35 - mmengine - INFO - Epoch(train) [20][560/1879] lr: 2.0000e-02 eta: 2 days, 14:37:08 time: 0.9154 data_time: 0.0241 memory: 11089 grad_norm: 4.0349 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0909 loss: 2.0909 2022/08/01 22:48:54 - mmengine - INFO - Epoch(train) [20][580/1879] lr: 2.0000e-02 eta: 2 days, 14:36:48 time: 0.9076 data_time: 0.0299 memory: 11089 grad_norm: 3.8083 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1252 loss: 2.1252 2022/08/01 22:49:12 - mmengine - INFO - Epoch(train) [20][600/1879] lr: 2.0000e-02 eta: 2 days, 14:36:31 time: 0.9262 data_time: 0.0305 memory: 11089 grad_norm: 3.8381 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2126 loss: 2.2126 2022/08/01 22:49:31 - mmengine - INFO - Epoch(train) [20][620/1879] lr: 2.0000e-02 eta: 2 days, 14:36:15 time: 0.9334 data_time: 0.0326 memory: 11089 grad_norm: 3.7944 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8556 loss: 1.8556 2022/08/01 22:49:49 - mmengine - INFO - Epoch(train) [20][640/1879] lr: 2.0000e-02 eta: 2 days, 14:35:57 time: 0.9229 data_time: 0.0313 memory: 11089 grad_norm: 3.7527 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8661 loss: 1.8661 2022/08/01 22:50:07 - mmengine - INFO - Epoch(train) [20][660/1879] lr: 2.0000e-02 eta: 2 days, 14:35:37 time: 0.9056 data_time: 0.0310 memory: 11089 grad_norm: 3.8345 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0574 loss: 2.0574 2022/08/01 22:50:26 - mmengine - INFO - Epoch(train) [20][680/1879] lr: 2.0000e-02 eta: 2 days, 14:35:17 time: 0.9084 data_time: 0.0265 memory: 11089 grad_norm: 3.9077 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.9592 loss: 1.9592 2022/08/01 22:50:44 - mmengine - INFO - Epoch(train) [20][700/1879] lr: 2.0000e-02 eta: 2 days, 14:34:58 time: 0.9106 data_time: 0.0250 memory: 11089 grad_norm: 3.7650 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.1034 loss: 2.1034 2022/08/01 22:51:03 - mmengine - INFO - Epoch(train) [20][720/1879] lr: 2.0000e-02 eta: 2 days, 14:34:44 time: 0.9457 data_time: 0.0372 memory: 11089 grad_norm: 3.9302 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.2628 loss: 2.2628 2022/08/01 22:51:22 - mmengine - INFO - Epoch(train) [20][740/1879] lr: 2.0000e-02 eta: 2 days, 14:34:28 time: 0.9427 data_time: 0.0369 memory: 11089 grad_norm: 3.8641 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0112 loss: 2.0112 2022/08/01 22:51:40 - mmengine - INFO - Epoch(train) [20][760/1879] lr: 2.0000e-02 eta: 2 days, 14:34:08 time: 0.9012 data_time: 0.0232 memory: 11089 grad_norm: 3.8386 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0401 loss: 2.0401 2022/08/01 22:51:58 - mmengine - INFO - Epoch(train) [20][780/1879] lr: 2.0000e-02 eta: 2 days, 14:33:49 time: 0.9174 data_time: 0.0289 memory: 11089 grad_norm: 3.8953 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2069 loss: 2.2069 2022/08/01 22:52:16 - mmengine - INFO - Epoch(train) [20][800/1879] lr: 2.0000e-02 eta: 2 days, 14:33:30 time: 0.9108 data_time: 0.0294 memory: 11089 grad_norm: 3.7541 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1149 loss: 2.1149 2022/08/01 22:52:35 - mmengine - INFO - Epoch(train) [20][820/1879] lr: 2.0000e-02 eta: 2 days, 14:33:12 time: 0.9180 data_time: 0.0316 memory: 11089 grad_norm: 3.8567 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.1357 loss: 2.1357 2022/08/01 22:52:53 - mmengine - INFO - Epoch(train) [20][840/1879] lr: 2.0000e-02 eta: 2 days, 14:32:54 time: 0.9203 data_time: 0.0300 memory: 11089 grad_norm: 3.9360 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0783 loss: 2.0783 2022/08/01 22:53:11 - mmengine - INFO - Epoch(train) [20][860/1879] lr: 2.0000e-02 eta: 2 days, 14:32:36 time: 0.9250 data_time: 0.0238 memory: 11089 grad_norm: 3.8478 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1364 loss: 2.1364 2022/08/01 22:53:30 - mmengine - INFO - Epoch(train) [20][880/1879] lr: 2.0000e-02 eta: 2 days, 14:32:20 time: 0.9337 data_time: 0.0279 memory: 11089 grad_norm: 3.9171 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9006 loss: 1.9006 2022/08/01 22:53:49 - mmengine - INFO - Epoch(train) [20][900/1879] lr: 2.0000e-02 eta: 2 days, 14:32:03 time: 0.9293 data_time: 0.0344 memory: 11089 grad_norm: 3.8770 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8660 loss: 1.8660 2022/08/01 22:54:07 - mmengine - INFO - Epoch(train) [20][920/1879] lr: 2.0000e-02 eta: 2 days, 14:31:43 time: 0.9020 data_time: 0.0306 memory: 11089 grad_norm: 3.8301 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0438 loss: 2.0438 2022/08/01 22:54:25 - mmengine - INFO - Epoch(train) [20][940/1879] lr: 2.0000e-02 eta: 2 days, 14:31:24 time: 0.9155 data_time: 0.0348 memory: 11089 grad_norm: 3.8430 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1550 loss: 2.1550 2022/08/01 22:54:43 - mmengine - INFO - Epoch(train) [20][960/1879] lr: 2.0000e-02 eta: 2 days, 14:31:06 time: 0.9183 data_time: 0.0291 memory: 11089 grad_norm: 3.8834 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9762 loss: 1.9762 2022/08/01 22:55:02 - mmengine - INFO - Epoch(train) [20][980/1879] lr: 2.0000e-02 eta: 2 days, 14:30:49 time: 0.9294 data_time: 0.0270 memory: 11089 grad_norm: 3.9205 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0582 loss: 2.0582 2022/08/01 22:55:20 - mmengine - INFO - Epoch(train) [20][1000/1879] lr: 2.0000e-02 eta: 2 days, 14:30:27 time: 0.8894 data_time: 0.0269 memory: 11089 grad_norm: 3.7828 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1107 loss: 2.1107 2022/08/01 22:55:38 - mmengine - INFO - Epoch(train) [20][1020/1879] lr: 2.0000e-02 eta: 2 days, 14:30:09 time: 0.9190 data_time: 0.0272 memory: 11089 grad_norm: 3.9510 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2697 loss: 2.2697 2022/08/01 22:55:57 - mmengine - INFO - Epoch(train) [20][1040/1879] lr: 2.0000e-02 eta: 2 days, 14:29:50 time: 0.9194 data_time: 0.0305 memory: 11089 grad_norm: 3.7944 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0749 loss: 2.0749 2022/08/01 22:56:15 - mmengine - INFO - Epoch(train) [20][1060/1879] lr: 2.0000e-02 eta: 2 days, 14:29:31 time: 0.9111 data_time: 0.0328 memory: 11089 grad_norm: 3.9002 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9976 loss: 1.9976 2022/08/01 22:56:33 - mmengine - INFO - Epoch(train) [20][1080/1879] lr: 2.0000e-02 eta: 2 days, 14:29:11 time: 0.9014 data_time: 0.0278 memory: 11089 grad_norm: 3.9177 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1709 loss: 2.1709 2022/08/01 22:56:51 - mmengine - INFO - Epoch(train) [20][1100/1879] lr: 2.0000e-02 eta: 2 days, 14:28:54 time: 0.9327 data_time: 0.0316 memory: 11089 grad_norm: 3.9262 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.3265 loss: 2.3265 2022/08/01 22:57:10 - mmengine - INFO - Epoch(train) [20][1120/1879] lr: 2.0000e-02 eta: 2 days, 14:28:36 time: 0.9200 data_time: 0.0289 memory: 11089 grad_norm: 3.8442 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2350 loss: 2.2350 2022/08/01 22:57:28 - mmengine - INFO - Epoch(train) [20][1140/1879] lr: 2.0000e-02 eta: 2 days, 14:28:16 time: 0.9047 data_time: 0.0303 memory: 11089 grad_norm: 3.7969 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0564 loss: 2.0564 2022/08/01 22:57:46 - mmengine - INFO - Epoch(train) [20][1160/1879] lr: 2.0000e-02 eta: 2 days, 14:27:58 time: 0.9192 data_time: 0.0360 memory: 11089 grad_norm: 3.8172 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9462 loss: 1.9462 2022/08/01 22:58:04 - mmengine - INFO - Epoch(train) [20][1180/1879] lr: 2.0000e-02 eta: 2 days, 14:27:38 time: 0.9065 data_time: 0.0253 memory: 11089 grad_norm: 3.7699 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0378 loss: 2.0378 2022/08/01 22:58:23 - mmengine - INFO - Epoch(train) [20][1200/1879] lr: 2.0000e-02 eta: 2 days, 14:27:19 time: 0.9151 data_time: 0.0319 memory: 11089 grad_norm: 3.8516 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0273 loss: 2.0273 2022/08/01 22:58:41 - mmengine - INFO - Epoch(train) [20][1220/1879] lr: 2.0000e-02 eta: 2 days, 14:27:00 time: 0.9106 data_time: 0.0294 memory: 11089 grad_norm: 3.8058 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2265 loss: 2.2265 2022/08/01 22:58:59 - mmengine - INFO - Epoch(train) [20][1240/1879] lr: 2.0000e-02 eta: 2 days, 14:26:41 time: 0.9132 data_time: 0.0287 memory: 11089 grad_norm: 3.7067 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0115 loss: 2.0115 2022/08/01 22:59:17 - mmengine - INFO - Epoch(train) [20][1260/1879] lr: 2.0000e-02 eta: 2 days, 14:26:21 time: 0.9080 data_time: 0.0305 memory: 11089 grad_norm: 3.9474 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0022 loss: 2.0022 2022/08/01 22:59:36 - mmengine - INFO - Epoch(train) [20][1280/1879] lr: 2.0000e-02 eta: 2 days, 14:26:06 time: 0.9439 data_time: 0.0281 memory: 11089 grad_norm: 3.9711 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1438 loss: 2.1438 2022/08/01 22:59:54 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 22:59:55 - mmengine - INFO - Epoch(train) [20][1300/1879] lr: 2.0000e-02 eta: 2 days, 14:25:48 time: 0.9198 data_time: 0.0264 memory: 11089 grad_norm: 3.9358 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.2009 loss: 2.2009 2022/08/01 23:00:13 - mmengine - INFO - Epoch(train) [20][1320/1879] lr: 2.0000e-02 eta: 2 days, 14:25:30 time: 0.9167 data_time: 0.0296 memory: 11089 grad_norm: 3.8880 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2242 loss: 2.2242 2022/08/01 23:00:32 - mmengine - INFO - Epoch(train) [20][1340/1879] lr: 2.0000e-02 eta: 2 days, 14:25:14 time: 0.9359 data_time: 0.0267 memory: 11089 grad_norm: 3.9178 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0401 loss: 2.0401 2022/08/01 23:00:50 - mmengine - INFO - Epoch(train) [20][1360/1879] lr: 2.0000e-02 eta: 2 days, 14:24:56 time: 0.9261 data_time: 0.0343 memory: 11089 grad_norm: 3.9046 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2680 loss: 2.2680 2022/08/01 23:01:09 - mmengine - INFO - Epoch(train) [20][1380/1879] lr: 2.0000e-02 eta: 2 days, 14:24:42 time: 0.9507 data_time: 0.0321 memory: 11089 grad_norm: 3.9727 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8863 loss: 1.8863 2022/08/01 23:01:28 - mmengine - INFO - Epoch(train) [20][1400/1879] lr: 2.0000e-02 eta: 2 days, 14:24:24 time: 0.9205 data_time: 0.0288 memory: 11089 grad_norm: 3.9401 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0440 loss: 2.0440 2022/08/01 23:01:46 - mmengine - INFO - Epoch(train) [20][1420/1879] lr: 2.0000e-02 eta: 2 days, 14:24:06 time: 0.9209 data_time: 0.0346 memory: 11089 grad_norm: 3.8186 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.0445 loss: 2.0445 2022/08/01 23:02:05 - mmengine - INFO - Epoch(train) [20][1440/1879] lr: 2.0000e-02 eta: 2 days, 14:23:49 time: 0.9288 data_time: 0.0255 memory: 11089 grad_norm: 3.8722 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0849 loss: 2.0849 2022/08/01 23:02:23 - mmengine - INFO - Epoch(train) [20][1460/1879] lr: 2.0000e-02 eta: 2 days, 14:23:33 time: 0.9326 data_time: 0.0263 memory: 11089 grad_norm: 3.9197 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9268 loss: 1.9268 2022/08/01 23:02:42 - mmengine - INFO - Epoch(train) [20][1480/1879] lr: 2.0000e-02 eta: 2 days, 14:23:17 time: 0.9327 data_time: 0.0285 memory: 11089 grad_norm: 3.8883 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1925 loss: 2.1925 2022/08/01 23:03:01 - mmengine - INFO - Epoch(train) [20][1500/1879] lr: 2.0000e-02 eta: 2 days, 14:23:00 time: 0.9314 data_time: 0.0307 memory: 11089 grad_norm: 3.8668 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1824 loss: 2.1824 2022/08/01 23:03:19 - mmengine - INFO - Epoch(train) [20][1520/1879] lr: 2.0000e-02 eta: 2 days, 14:22:44 time: 0.9332 data_time: 0.0275 memory: 11089 grad_norm: 3.8519 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2128 loss: 2.2128 2022/08/01 23:03:37 - mmengine - INFO - Epoch(train) [20][1540/1879] lr: 2.0000e-02 eta: 2 days, 14:22:24 time: 0.9099 data_time: 0.0265 memory: 11089 grad_norm: 3.9044 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8993 loss: 1.8993 2022/08/01 23:03:56 - mmengine - INFO - Epoch(train) [20][1560/1879] lr: 2.0000e-02 eta: 2 days, 14:22:05 time: 0.9143 data_time: 0.0293 memory: 11089 grad_norm: 3.8529 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1471 loss: 2.1471 2022/08/01 23:04:14 - mmengine - INFO - Epoch(train) [20][1580/1879] lr: 2.0000e-02 eta: 2 days, 14:21:47 time: 0.9157 data_time: 0.0328 memory: 11089 grad_norm: 3.8116 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1726 loss: 2.1726 2022/08/01 23:04:33 - mmengine - INFO - Epoch(train) [20][1600/1879] lr: 2.0000e-02 eta: 2 days, 14:21:32 time: 0.9491 data_time: 0.0341 memory: 11089 grad_norm: 3.7511 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9196 loss: 1.9196 2022/08/01 23:04:52 - mmengine - INFO - Epoch(train) [20][1620/1879] lr: 2.0000e-02 eta: 2 days, 14:21:16 time: 0.9319 data_time: 0.0334 memory: 11089 grad_norm: 3.9415 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1693 loss: 2.1693 2022/08/01 23:05:10 - mmengine - INFO - Epoch(train) [20][1640/1879] lr: 2.0000e-02 eta: 2 days, 14:20:57 time: 0.9145 data_time: 0.0266 memory: 11089 grad_norm: 3.7467 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8910 loss: 1.8910 2022/08/01 23:05:28 - mmengine - INFO - Epoch(train) [20][1660/1879] lr: 2.0000e-02 eta: 2 days, 14:20:37 time: 0.9037 data_time: 0.0297 memory: 11089 grad_norm: 3.8442 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0414 loss: 2.0414 2022/08/01 23:05:47 - mmengine - INFO - Epoch(train) [20][1680/1879] lr: 2.0000e-02 eta: 2 days, 14:20:20 time: 0.9322 data_time: 0.0302 memory: 11089 grad_norm: 3.7341 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0482 loss: 2.0482 2022/08/01 23:06:05 - mmengine - INFO - Epoch(train) [20][1700/1879] lr: 2.0000e-02 eta: 2 days, 14:20:03 time: 0.9220 data_time: 0.0299 memory: 11089 grad_norm: 3.8033 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1001 loss: 2.1001 2022/08/01 23:06:24 - mmengine - INFO - Epoch(train) [20][1720/1879] lr: 2.0000e-02 eta: 2 days, 14:19:45 time: 0.9243 data_time: 0.0323 memory: 11089 grad_norm: 3.8270 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0037 loss: 2.0037 2022/08/01 23:06:42 - mmengine - INFO - Epoch(train) [20][1740/1879] lr: 2.0000e-02 eta: 2 days, 14:19:27 time: 0.9219 data_time: 0.0310 memory: 11089 grad_norm: 3.8334 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0965 loss: 2.0965 2022/08/01 23:07:01 - mmengine - INFO - Epoch(train) [20][1760/1879] lr: 2.0000e-02 eta: 2 days, 14:19:11 time: 0.9336 data_time: 0.0307 memory: 11089 grad_norm: 3.8703 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0590 loss: 2.0590 2022/08/01 23:07:19 - mmengine - INFO - Epoch(train) [20][1780/1879] lr: 2.0000e-02 eta: 2 days, 14:18:52 time: 0.9117 data_time: 0.0374 memory: 11089 grad_norm: 3.8231 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9197 loss: 1.9197 2022/08/01 23:07:37 - mmengine - INFO - Epoch(train) [20][1800/1879] lr: 2.0000e-02 eta: 2 days, 14:18:33 time: 0.9148 data_time: 0.0311 memory: 11089 grad_norm: 3.9847 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0474 loss: 2.0474 2022/08/01 23:07:55 - mmengine - INFO - Epoch(train) [20][1820/1879] lr: 2.0000e-02 eta: 2 days, 14:18:13 time: 0.9049 data_time: 0.0278 memory: 11089 grad_norm: 3.8721 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9392 loss: 1.9392 2022/08/01 23:08:14 - mmengine - INFO - Epoch(train) [20][1840/1879] lr: 2.0000e-02 eta: 2 days, 14:17:53 time: 0.9080 data_time: 0.0267 memory: 11089 grad_norm: 3.7507 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0946 loss: 2.0946 2022/08/01 23:08:32 - mmengine - INFO - Epoch(train) [20][1860/1879] lr: 2.0000e-02 eta: 2 days, 14:17:35 time: 0.9165 data_time: 0.0314 memory: 11089 grad_norm: 3.8597 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1572 loss: 2.1572 2022/08/01 23:08:50 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 23:08:50 - mmengine - INFO - Epoch(train) [20][1879/1879] lr: 2.0000e-02 eta: 2 days, 14:17:35 time: 0.9389 data_time: 0.0282 memory: 11089 grad_norm: 3.9494 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.8920 loss: 1.8920 2022/08/01 23:08:50 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/08/01 23:09:01 - mmengine - INFO - Epoch(val) [20][20/155] eta: 0:00:58 time: 0.4314 data_time: 0.1152 memory: 1950 2022/08/01 23:09:08 - mmengine - INFO - Epoch(val) [20][40/155] eta: 0:00:36 time: 0.3177 data_time: 0.0096 memory: 1950 2022/08/01 23:09:14 - mmengine - INFO - Epoch(val) [20][60/155] eta: 0:00:31 time: 0.3304 data_time: 0.0126 memory: 1950 2022/08/01 23:09:21 - mmengine - INFO - Epoch(val) [20][80/155] eta: 0:00:24 time: 0.3207 data_time: 0.0122 memory: 1950 2022/08/01 23:09:27 - mmengine - INFO - Epoch(val) [20][100/155] eta: 0:00:17 time: 0.3248 data_time: 0.0124 memory: 1950 2022/08/01 23:09:34 - mmengine - INFO - Epoch(val) [20][120/155] eta: 0:00:12 time: 0.3647 data_time: 0.0120 memory: 1950 2022/08/01 23:09:42 - mmengine - INFO - Epoch(val) [20][140/155] eta: 0:00:05 time: 0.3798 data_time: 0.0095 memory: 1950 2022/08/01 23:09:49 - mmengine - INFO - Epoch(val) [20][155/155] acc/top1: 0.5970 acc/top5: 0.8259 acc/mean1: 0.5968 2022/08/01 23:09:50 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb/best_acc/top1_epoch_16.pth is removed 2022/08/01 23:09:51 - mmengine - INFO - The best checkpoint with 0.5970 acc/top1 at 21 epoch is saved to best_acc/top1_epoch_21.pth. 2022/08/01 23:10:11 - mmengine - INFO - Epoch(train) [21][20/1879] lr: 2.0000e-02 eta: 2 days, 14:15:19 time: 1.0233 data_time: 0.1239 memory: 11089 grad_norm: 3.7350 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1199 loss: 2.1199 2022/08/01 23:10:30 - mmengine - INFO - Epoch(train) [21][40/1879] lr: 2.0000e-02 eta: 2 days, 14:15:00 time: 0.9136 data_time: 0.0255 memory: 11089 grad_norm: 3.8731 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2509 loss: 2.2509 2022/08/01 23:10:48 - mmengine - INFO - Epoch(train) [21][60/1879] lr: 2.0000e-02 eta: 2 days, 14:14:41 time: 0.9089 data_time: 0.0320 memory: 11089 grad_norm: 3.7256 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8818 loss: 1.8818 2022/08/01 23:11:06 - mmengine - INFO - Epoch(train) [21][80/1879] lr: 2.0000e-02 eta: 2 days, 14:14:21 time: 0.9024 data_time: 0.0277 memory: 11089 grad_norm: 3.7912 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0208 loss: 2.0208 2022/08/01 23:11:25 - mmengine - INFO - Epoch(train) [21][100/1879] lr: 2.0000e-02 eta: 2 days, 14:14:05 time: 0.9396 data_time: 0.0349 memory: 11089 grad_norm: 3.8837 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1930 loss: 2.1930 2022/08/01 23:11:43 - mmengine - INFO - Epoch(train) [21][120/1879] lr: 2.0000e-02 eta: 2 days, 14:13:48 time: 0.9299 data_time: 0.0312 memory: 11089 grad_norm: 3.8846 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9553 loss: 1.9553 2022/08/01 23:12:01 - mmengine - INFO - Epoch(train) [21][140/1879] lr: 2.0000e-02 eta: 2 days, 14:13:27 time: 0.8956 data_time: 0.0265 memory: 11089 grad_norm: 3.8770 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8799 loss: 1.8799 2022/08/01 23:12:20 - mmengine - INFO - Epoch(train) [21][160/1879] lr: 2.0000e-02 eta: 2 days, 14:13:09 time: 0.9166 data_time: 0.0335 memory: 11089 grad_norm: 3.9083 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0364 loss: 2.0364 2022/08/01 23:12:38 - mmengine - INFO - Epoch(train) [21][180/1879] lr: 2.0000e-02 eta: 2 days, 14:12:48 time: 0.9026 data_time: 0.0261 memory: 11089 grad_norm: 3.7990 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1929 loss: 2.1929 2022/08/01 23:12:56 - mmengine - INFO - Epoch(train) [21][200/1879] lr: 2.0000e-02 eta: 2 days, 14:12:29 time: 0.9066 data_time: 0.0256 memory: 11089 grad_norm: 3.8807 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0947 loss: 2.0947 2022/08/01 23:13:14 - mmengine - INFO - Epoch(train) [21][220/1879] lr: 2.0000e-02 eta: 2 days, 14:12:09 time: 0.9057 data_time: 0.0270 memory: 11089 grad_norm: 3.8414 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1701 loss: 2.1701 2022/08/01 23:13:32 - mmengine - INFO - Epoch(train) [21][240/1879] lr: 2.0000e-02 eta: 2 days, 14:11:51 time: 0.9230 data_time: 0.0300 memory: 11089 grad_norm: 3.7761 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1481 loss: 2.1481 2022/08/01 23:13:50 - mmengine - INFO - Epoch(train) [21][260/1879] lr: 2.0000e-02 eta: 2 days, 14:11:31 time: 0.9047 data_time: 0.0306 memory: 11089 grad_norm: 3.8032 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0362 loss: 2.0362 2022/08/01 23:14:09 - mmengine - INFO - Epoch(train) [21][280/1879] lr: 2.0000e-02 eta: 2 days, 14:11:12 time: 0.9126 data_time: 0.0266 memory: 11089 grad_norm: 3.8920 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2371 loss: 2.2371 2022/08/01 23:14:27 - mmengine - INFO - Epoch(train) [21][300/1879] lr: 2.0000e-02 eta: 2 days, 14:10:53 time: 0.9087 data_time: 0.0306 memory: 11089 grad_norm: 3.8948 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2972 loss: 2.2972 2022/08/01 23:14:45 - mmengine - INFO - Epoch(train) [21][320/1879] lr: 2.0000e-02 eta: 2 days, 14:10:35 time: 0.9209 data_time: 0.0311 memory: 11089 grad_norm: 3.7961 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.1118 loss: 2.1118 2022/08/01 23:15:04 - mmengine - INFO - Epoch(train) [21][340/1879] lr: 2.0000e-02 eta: 2 days, 14:10:17 time: 0.9259 data_time: 0.0265 memory: 11089 grad_norm: 3.7699 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1376 loss: 2.1376 2022/08/01 23:15:23 - mmengine - INFO - Epoch(train) [21][360/1879] lr: 2.0000e-02 eta: 2 days, 14:10:02 time: 0.9403 data_time: 0.0414 memory: 11089 grad_norm: 3.7898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1110 loss: 2.1110 2022/08/01 23:15:42 - mmengine - INFO - Epoch(train) [21][380/1879] lr: 2.0000e-02 eta: 2 days, 14:09:47 time: 0.9429 data_time: 0.0363 memory: 11089 grad_norm: 3.7625 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0695 loss: 2.0695 2022/08/01 23:16:00 - mmengine - INFO - Epoch(train) [21][400/1879] lr: 2.0000e-02 eta: 2 days, 14:09:28 time: 0.9149 data_time: 0.0291 memory: 11089 grad_norm: 3.8725 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9105 loss: 1.9105 2022/08/01 23:16:18 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 23:16:18 - mmengine - INFO - Epoch(train) [21][420/1879] lr: 2.0000e-02 eta: 2 days, 14:09:09 time: 0.9147 data_time: 0.0289 memory: 11089 grad_norm: 3.9605 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9699 loss: 1.9699 2022/08/01 23:16:37 - mmengine - INFO - Epoch(train) [21][440/1879] lr: 2.0000e-02 eta: 2 days, 14:08:53 time: 0.9364 data_time: 0.0347 memory: 11089 grad_norm: 4.0018 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2885 loss: 2.2885 2022/08/01 23:16:56 - mmengine - INFO - Epoch(train) [21][460/1879] lr: 2.0000e-02 eta: 2 days, 14:08:38 time: 0.9387 data_time: 0.0290 memory: 11089 grad_norm: 3.7583 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9673 loss: 1.9673 2022/08/01 23:17:14 - mmengine - INFO - Epoch(train) [21][480/1879] lr: 2.0000e-02 eta: 2 days, 14:08:22 time: 0.9363 data_time: 0.0327 memory: 11089 grad_norm: 3.8216 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9808 loss: 1.9808 2022/08/01 23:17:33 - mmengine - INFO - Epoch(train) [21][500/1879] lr: 2.0000e-02 eta: 2 days, 14:08:05 time: 0.9325 data_time: 0.0316 memory: 11089 grad_norm: 3.8396 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1973 loss: 2.1973 2022/08/01 23:17:52 - mmengine - INFO - Epoch(train) [21][520/1879] lr: 2.0000e-02 eta: 2 days, 14:07:49 time: 0.9365 data_time: 0.0387 memory: 11089 grad_norm: 3.8155 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.3069 loss: 2.3069 2022/08/01 23:18:10 - mmengine - INFO - Epoch(train) [21][540/1879] lr: 2.0000e-02 eta: 2 days, 14:07:29 time: 0.9050 data_time: 0.0211 memory: 11089 grad_norm: 3.9201 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.1829 loss: 2.1829 2022/08/01 23:18:28 - mmengine - INFO - Epoch(train) [21][560/1879] lr: 2.0000e-02 eta: 2 days, 14:07:11 time: 0.9149 data_time: 0.0329 memory: 11089 grad_norm: 3.8865 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1112 loss: 2.1112 2022/08/01 23:18:47 - mmengine - INFO - Epoch(train) [21][580/1879] lr: 2.0000e-02 eta: 2 days, 14:06:56 time: 0.9435 data_time: 0.0337 memory: 11089 grad_norm: 3.7524 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0962 loss: 2.0962 2022/08/01 23:19:05 - mmengine - INFO - Epoch(train) [21][600/1879] lr: 2.0000e-02 eta: 2 days, 14:06:38 time: 0.9233 data_time: 0.0308 memory: 11089 grad_norm: 3.7582 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0417 loss: 2.0417 2022/08/01 23:19:24 - mmengine - INFO - Epoch(train) [21][620/1879] lr: 2.0000e-02 eta: 2 days, 14:06:22 time: 0.9368 data_time: 0.0369 memory: 11089 grad_norm: 3.9318 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0323 loss: 2.0323 2022/08/01 23:19:42 - mmengine - INFO - Epoch(train) [21][640/1879] lr: 2.0000e-02 eta: 2 days, 14:06:03 time: 0.9111 data_time: 0.0249 memory: 11089 grad_norm: 3.8971 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1607 loss: 2.1607 2022/08/01 23:20:00 - mmengine - INFO - Epoch(train) [21][660/1879] lr: 2.0000e-02 eta: 2 days, 14:05:41 time: 0.8895 data_time: 0.0262 memory: 11089 grad_norm: 3.8031 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0468 loss: 2.0468 2022/08/01 23:20:18 - mmengine - INFO - Epoch(train) [21][680/1879] lr: 2.0000e-02 eta: 2 days, 14:05:21 time: 0.9062 data_time: 0.0239 memory: 11089 grad_norm: 3.7963 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9065 loss: 1.9065 2022/08/01 23:20:37 - mmengine - INFO - Epoch(train) [21][700/1879] lr: 2.0000e-02 eta: 2 days, 14:05:02 time: 0.9120 data_time: 0.0310 memory: 11089 grad_norm: 3.8873 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.1351 loss: 2.1351 2022/08/01 23:20:55 - mmengine - INFO - Epoch(train) [21][720/1879] lr: 2.0000e-02 eta: 2 days, 14:04:44 time: 0.9166 data_time: 0.0271 memory: 11089 grad_norm: 3.7858 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9929 loss: 1.9929 2022/08/01 23:21:13 - mmengine - INFO - Epoch(train) [21][740/1879] lr: 2.0000e-02 eta: 2 days, 14:04:26 time: 0.9237 data_time: 0.0327 memory: 11089 grad_norm: 3.8212 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0302 loss: 2.0302 2022/08/01 23:21:32 - mmengine - INFO - Epoch(train) [21][760/1879] lr: 2.0000e-02 eta: 2 days, 14:04:10 time: 0.9366 data_time: 0.0302 memory: 11089 grad_norm: 3.8921 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2441 loss: 2.2441 2022/08/01 23:21:50 - mmengine - INFO - Epoch(train) [21][780/1879] lr: 2.0000e-02 eta: 2 days, 14:03:51 time: 0.9147 data_time: 0.0279 memory: 11089 grad_norm: 3.7820 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8369 loss: 1.8369 2022/08/01 23:22:09 - mmengine - INFO - Epoch(train) [21][800/1879] lr: 2.0000e-02 eta: 2 days, 14:03:33 time: 0.9143 data_time: 0.0340 memory: 11089 grad_norm: 3.7675 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0219 loss: 2.0219 2022/08/01 23:22:27 - mmengine - INFO - Epoch(train) [21][820/1879] lr: 2.0000e-02 eta: 2 days, 14:03:17 time: 0.9389 data_time: 0.0263 memory: 11089 grad_norm: 3.7765 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0418 loss: 2.0418 2022/08/01 23:22:46 - mmengine - INFO - Epoch(train) [21][840/1879] lr: 2.0000e-02 eta: 2 days, 14:02:59 time: 0.9185 data_time: 0.0325 memory: 11089 grad_norm: 3.8621 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8874 loss: 1.8874 2022/08/01 23:23:04 - mmengine - INFO - Epoch(train) [21][860/1879] lr: 2.0000e-02 eta: 2 days, 14:02:40 time: 0.9125 data_time: 0.0311 memory: 11089 grad_norm: 3.8002 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1169 loss: 2.1169 2022/08/01 23:23:22 - mmengine - INFO - Epoch(train) [21][880/1879] lr: 2.0000e-02 eta: 2 days, 14:02:21 time: 0.9152 data_time: 0.0364 memory: 11089 grad_norm: 3.8749 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1655 loss: 2.1655 2022/08/01 23:23:41 - mmengine - INFO - Epoch(train) [21][900/1879] lr: 2.0000e-02 eta: 2 days, 14:02:04 time: 0.9251 data_time: 0.0265 memory: 11089 grad_norm: 3.8255 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9763 loss: 1.9763 2022/08/01 23:23:59 - mmengine - INFO - Epoch(train) [21][920/1879] lr: 2.0000e-02 eta: 2 days, 14:01:43 time: 0.8995 data_time: 0.0276 memory: 11089 grad_norm: 3.8046 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8875 loss: 1.8875 2022/08/01 23:24:17 - mmengine - INFO - Epoch(train) [21][940/1879] lr: 2.0000e-02 eta: 2 days, 14:01:25 time: 0.9195 data_time: 0.0276 memory: 11089 grad_norm: 3.8697 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1261 loss: 2.1261 2022/08/01 23:24:35 - mmengine - INFO - Epoch(train) [21][960/1879] lr: 2.0000e-02 eta: 2 days, 14:01:04 time: 0.8932 data_time: 0.0235 memory: 11089 grad_norm: 3.9185 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0506 loss: 2.0506 2022/08/01 23:24:53 - mmengine - INFO - Epoch(train) [21][980/1879] lr: 2.0000e-02 eta: 2 days, 14:00:45 time: 0.9120 data_time: 0.0297 memory: 11089 grad_norm: 3.9564 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9431 loss: 1.9431 2022/08/01 23:25:12 - mmengine - INFO - Epoch(train) [21][1000/1879] lr: 2.0000e-02 eta: 2 days, 14:00:25 time: 0.9101 data_time: 0.0279 memory: 11089 grad_norm: 3.8916 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8113 loss: 1.8113 2022/08/01 23:25:30 - mmengine - INFO - Epoch(train) [21][1020/1879] lr: 2.0000e-02 eta: 2 days, 14:00:06 time: 0.9123 data_time: 0.0253 memory: 11089 grad_norm: 3.8138 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8878 loss: 1.8878 2022/08/01 23:25:48 - mmengine - INFO - Epoch(train) [21][1040/1879] lr: 2.0000e-02 eta: 2 days, 13:59:48 time: 0.9176 data_time: 0.0260 memory: 11089 grad_norm: 3.8574 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9838 loss: 1.9838 2022/08/01 23:26:07 - mmengine - INFO - Epoch(train) [21][1060/1879] lr: 2.0000e-02 eta: 2 days, 13:59:33 time: 0.9443 data_time: 0.0322 memory: 11089 grad_norm: 3.7666 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8638 loss: 1.8638 2022/08/01 23:26:25 - mmengine - INFO - Epoch(train) [21][1080/1879] lr: 2.0000e-02 eta: 2 days, 13:59:14 time: 0.9107 data_time: 0.0285 memory: 11089 grad_norm: 3.8404 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0851 loss: 2.0851 2022/08/01 23:26:44 - mmengine - INFO - Epoch(train) [21][1100/1879] lr: 2.0000e-02 eta: 2 days, 13:58:56 time: 0.9206 data_time: 0.0316 memory: 11089 grad_norm: 3.9535 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0714 loss: 2.0714 2022/08/01 23:27:03 - mmengine - INFO - Epoch(train) [21][1120/1879] lr: 2.0000e-02 eta: 2 days, 13:58:41 time: 0.9473 data_time: 0.0325 memory: 11089 grad_norm: 4.0113 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0574 loss: 2.0574 2022/08/01 23:27:21 - mmengine - INFO - Epoch(train) [21][1140/1879] lr: 2.0000e-02 eta: 2 days, 13:58:22 time: 0.9124 data_time: 0.0285 memory: 11089 grad_norm: 3.8702 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9725 loss: 1.9725 2022/08/01 23:27:39 - mmengine - INFO - Epoch(train) [21][1160/1879] lr: 2.0000e-02 eta: 2 days, 13:58:02 time: 0.9013 data_time: 0.0276 memory: 11089 grad_norm: 3.9204 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0198 loss: 2.0198 2022/08/01 23:27:58 - mmengine - INFO - Epoch(train) [21][1180/1879] lr: 2.0000e-02 eta: 2 days, 13:57:46 time: 0.9400 data_time: 0.0254 memory: 11089 grad_norm: 3.8647 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0247 loss: 2.0247 2022/08/01 23:28:16 - mmengine - INFO - Epoch(train) [21][1200/1879] lr: 2.0000e-02 eta: 2 days, 13:57:27 time: 0.9105 data_time: 0.0294 memory: 11089 grad_norm: 3.8163 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0684 loss: 2.0684 2022/08/01 23:28:34 - mmengine - INFO - Epoch(train) [21][1220/1879] lr: 2.0000e-02 eta: 2 days, 13:57:07 time: 0.9053 data_time: 0.0267 memory: 11089 grad_norm: 3.8525 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2609 loss: 2.2609 2022/08/01 23:28:52 - mmengine - INFO - Epoch(train) [21][1240/1879] lr: 2.0000e-02 eta: 2 days, 13:56:46 time: 0.8938 data_time: 0.0270 memory: 11089 grad_norm: 3.9690 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9762 loss: 1.9762 2022/08/01 23:29:10 - mmengine - INFO - Epoch(train) [21][1260/1879] lr: 2.0000e-02 eta: 2 days, 13:56:26 time: 0.9067 data_time: 0.0244 memory: 11089 grad_norm: 3.8659 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0991 loss: 2.0991 2022/08/01 23:29:36 - mmengine - INFO - Epoch(train) [21][1280/1879] lr: 2.0000e-02 eta: 2 days, 13:56:54 time: 1.2878 data_time: 0.0600 memory: 11089 grad_norm: 3.7367 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0947 loss: 2.0947 2022/08/01 23:29:54 - mmengine - INFO - Epoch(train) [21][1300/1879] lr: 2.0000e-02 eta: 2 days, 13:56:34 time: 0.9092 data_time: 0.0309 memory: 11089 grad_norm: 3.9464 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1061 loss: 2.1061 2022/08/01 23:30:13 - mmengine - INFO - Epoch(train) [21][1320/1879] lr: 2.0000e-02 eta: 2 days, 13:56:18 time: 0.9364 data_time: 0.0303 memory: 11089 grad_norm: 3.8734 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2246 loss: 2.2246 2022/08/01 23:30:31 - mmengine - INFO - Epoch(train) [21][1340/1879] lr: 2.0000e-02 eta: 2 days, 13:56:01 time: 0.9230 data_time: 0.0315 memory: 11089 grad_norm: 3.8718 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1730 loss: 2.1730 2022/08/01 23:30:49 - mmengine - INFO - Epoch(train) [21][1360/1879] lr: 2.0000e-02 eta: 2 days, 13:55:41 time: 0.9109 data_time: 0.0313 memory: 11089 grad_norm: 3.8822 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9270 loss: 1.9270 2022/08/01 23:31:08 - mmengine - INFO - Epoch(train) [21][1380/1879] lr: 2.0000e-02 eta: 2 days, 13:55:22 time: 0.9125 data_time: 0.0270 memory: 11089 grad_norm: 3.8212 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1524 loss: 2.1524 2022/08/01 23:31:27 - mmengine - INFO - Epoch(train) [21][1400/1879] lr: 2.0000e-02 eta: 2 days, 13:55:10 time: 0.9645 data_time: 0.0298 memory: 11089 grad_norm: 3.7952 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0497 loss: 2.0497 2022/08/01 23:31:46 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 23:31:46 - mmengine - INFO - Epoch(train) [21][1420/1879] lr: 2.0000e-02 eta: 2 days, 13:54:53 time: 0.9332 data_time: 0.0374 memory: 11089 grad_norm: 3.7982 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0160 loss: 2.0160 2022/08/01 23:32:04 - mmengine - INFO - Epoch(train) [21][1440/1879] lr: 2.0000e-02 eta: 2 days, 13:54:36 time: 0.9271 data_time: 0.0289 memory: 11089 grad_norm: 3.7861 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.8860 loss: 1.8860 2022/08/01 23:32:22 - mmengine - INFO - Epoch(train) [21][1460/1879] lr: 2.0000e-02 eta: 2 days, 13:54:17 time: 0.9126 data_time: 0.0257 memory: 11089 grad_norm: 3.9186 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.2477 loss: 2.2477 2022/08/01 23:32:41 - mmengine - INFO - Epoch(train) [21][1480/1879] lr: 2.0000e-02 eta: 2 days, 13:53:59 time: 0.9151 data_time: 0.0280 memory: 11089 grad_norm: 3.9754 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.0295 loss: 2.0295 2022/08/01 23:32:59 - mmengine - INFO - Epoch(train) [21][1500/1879] lr: 2.0000e-02 eta: 2 days, 13:53:39 time: 0.9111 data_time: 0.0336 memory: 11089 grad_norm: 3.8549 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9830 loss: 1.9830 2022/08/01 23:33:17 - mmengine - INFO - Epoch(train) [21][1520/1879] lr: 2.0000e-02 eta: 2 days, 13:53:20 time: 0.9100 data_time: 0.0267 memory: 11089 grad_norm: 3.7428 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9766 loss: 1.9766 2022/08/01 23:33:36 - mmengine - INFO - Epoch(train) [21][1540/1879] lr: 2.0000e-02 eta: 2 days, 13:53:04 time: 0.9364 data_time: 0.0326 memory: 11089 grad_norm: 3.9360 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0871 loss: 2.0871 2022/08/01 23:33:54 - mmengine - INFO - Epoch(train) [21][1560/1879] lr: 2.0000e-02 eta: 2 days, 13:52:46 time: 0.9232 data_time: 0.0281 memory: 11089 grad_norm: 3.8132 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9372 loss: 1.9372 2022/08/01 23:34:14 - mmengine - INFO - Epoch(train) [21][1580/1879] lr: 2.0000e-02 eta: 2 days, 13:52:33 time: 0.9602 data_time: 0.0297 memory: 11089 grad_norm: 3.8556 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9402 loss: 1.9402 2022/08/01 23:34:32 - mmengine - INFO - Epoch(train) [21][1600/1879] lr: 2.0000e-02 eta: 2 days, 13:52:17 time: 0.9318 data_time: 0.0342 memory: 11089 grad_norm: 3.8471 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8636 loss: 1.8636 2022/08/01 23:34:50 - mmengine - INFO - Epoch(train) [21][1620/1879] lr: 2.0000e-02 eta: 2 days, 13:51:57 time: 0.9111 data_time: 0.0278 memory: 11089 grad_norm: 3.8634 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0325 loss: 2.0325 2022/08/01 23:35:09 - mmengine - INFO - Epoch(train) [21][1640/1879] lr: 2.0000e-02 eta: 2 days, 13:51:40 time: 0.9279 data_time: 0.0265 memory: 11089 grad_norm: 3.9231 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2485 loss: 2.2485 2022/08/01 23:35:28 - mmengine - INFO - Epoch(train) [21][1660/1879] lr: 2.0000e-02 eta: 2 days, 13:51:27 time: 0.9603 data_time: 0.0326 memory: 11089 grad_norm: 3.8032 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.2312 loss: 2.2312 2022/08/01 23:35:47 - mmengine - INFO - Epoch(train) [21][1680/1879] lr: 2.0000e-02 eta: 2 days, 13:51:10 time: 0.9262 data_time: 0.0259 memory: 11089 grad_norm: 3.7521 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0124 loss: 2.0124 2022/08/01 23:36:05 - mmengine - INFO - Epoch(train) [21][1700/1879] lr: 2.0000e-02 eta: 2 days, 13:50:53 time: 0.9287 data_time: 0.0303 memory: 11089 grad_norm: 3.8045 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9362 loss: 1.9362 2022/08/01 23:36:24 - mmengine - INFO - Epoch(train) [21][1720/1879] lr: 2.0000e-02 eta: 2 days, 13:50:37 time: 0.9355 data_time: 0.0353 memory: 11089 grad_norm: 3.8353 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9733 loss: 1.9733 2022/08/01 23:36:42 - mmengine - INFO - Epoch(train) [21][1740/1879] lr: 2.0000e-02 eta: 2 days, 13:50:17 time: 0.9098 data_time: 0.0306 memory: 11089 grad_norm: 3.8618 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9726 loss: 1.9726 2022/08/01 23:37:00 - mmengine - INFO - Epoch(train) [21][1760/1879] lr: 2.0000e-02 eta: 2 days, 13:49:58 time: 0.9107 data_time: 0.0293 memory: 11089 grad_norm: 3.8004 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0264 loss: 2.0264 2022/08/01 23:37:19 - mmengine - INFO - Epoch(train) [21][1780/1879] lr: 2.0000e-02 eta: 2 days, 13:49:40 time: 0.9172 data_time: 0.0286 memory: 11089 grad_norm: 3.7841 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9380 loss: 1.9380 2022/08/01 23:37:37 - mmengine - INFO - Epoch(train) [21][1800/1879] lr: 2.0000e-02 eta: 2 days, 13:49:20 time: 0.9042 data_time: 0.0281 memory: 11089 grad_norm: 3.8060 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0174 loss: 2.0174 2022/08/01 23:37:55 - mmengine - INFO - Epoch(train) [21][1820/1879] lr: 2.0000e-02 eta: 2 days, 13:49:02 time: 0.9266 data_time: 0.0229 memory: 11089 grad_norm: 3.8046 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1568 loss: 2.1568 2022/08/01 23:38:13 - mmengine - INFO - Epoch(train) [21][1840/1879] lr: 2.0000e-02 eta: 2 days, 13:48:41 time: 0.8905 data_time: 0.0306 memory: 11089 grad_norm: 3.8316 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0992 loss: 2.0992 2022/08/01 23:38:31 - mmengine - INFO - Epoch(train) [21][1860/1879] lr: 2.0000e-02 eta: 2 days, 13:48:21 time: 0.9115 data_time: 0.0302 memory: 11089 grad_norm: 3.7752 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9863 loss: 1.9863 2022/08/01 23:38:48 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 23:38:48 - mmengine - INFO - Epoch(train) [21][1879/1879] lr: 2.0000e-02 eta: 2 days, 13:48:21 time: 0.8895 data_time: 0.0306 memory: 11089 grad_norm: 3.8651 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.0912 loss: 2.0912 2022/08/01 23:39:08 - mmengine - INFO - Epoch(train) [22][20/1879] lr: 2.0000e-02 eta: 2 days, 13:46:06 time: 0.9812 data_time: 0.1173 memory: 11089 grad_norm: 3.7909 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8792 loss: 1.8792 2022/08/01 23:39:27 - mmengine - INFO - Epoch(train) [22][40/1879] lr: 2.0000e-02 eta: 2 days, 13:45:50 time: 0.9325 data_time: 0.0353 memory: 11089 grad_norm: 3.7944 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0713 loss: 2.0713 2022/08/01 23:39:45 - mmengine - INFO - Epoch(train) [22][60/1879] lr: 2.0000e-02 eta: 2 days, 13:45:34 time: 0.9384 data_time: 0.0285 memory: 11089 grad_norm: 3.8456 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.9047 loss: 1.9047 2022/08/01 23:40:04 - mmengine - INFO - Epoch(train) [22][80/1879] lr: 2.0000e-02 eta: 2 days, 13:45:16 time: 0.9242 data_time: 0.0369 memory: 11089 grad_norm: 3.8458 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1509 loss: 2.1509 2022/08/01 23:40:22 - mmengine - INFO - Epoch(train) [22][100/1879] lr: 2.0000e-02 eta: 2 days, 13:44:59 time: 0.9254 data_time: 0.0358 memory: 11089 grad_norm: 3.8564 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0239 loss: 2.0239 2022/08/01 23:40:41 - mmengine - INFO - Epoch(train) [22][120/1879] lr: 2.0000e-02 eta: 2 days, 13:44:40 time: 0.9079 data_time: 0.0316 memory: 11089 grad_norm: 3.8663 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0767 loss: 2.0767 2022/08/01 23:40:59 - mmengine - INFO - Epoch(train) [22][140/1879] lr: 2.0000e-02 eta: 2 days, 13:44:21 time: 0.9165 data_time: 0.0219 memory: 11089 grad_norm: 3.8221 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1853 loss: 2.1853 2022/08/01 23:41:18 - mmengine - INFO - Epoch(train) [22][160/1879] lr: 2.0000e-02 eta: 2 days, 13:44:06 time: 0.9403 data_time: 0.0246 memory: 11089 grad_norm: 3.7553 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9559 loss: 1.9559 2022/08/01 23:41:36 - mmengine - INFO - Epoch(train) [22][180/1879] lr: 2.0000e-02 eta: 2 days, 13:43:49 time: 0.9354 data_time: 0.0304 memory: 11089 grad_norm: 3.7565 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0535 loss: 2.0535 2022/08/01 23:41:56 - mmengine - INFO - Epoch(train) [22][200/1879] lr: 2.0000e-02 eta: 2 days, 13:43:38 time: 0.9709 data_time: 0.0321 memory: 11089 grad_norm: 3.8444 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1449 loss: 2.1449 2022/08/01 23:42:15 - mmengine - INFO - Epoch(train) [22][220/1879] lr: 2.0000e-02 eta: 2 days, 13:43:21 time: 0.9348 data_time: 0.0238 memory: 11089 grad_norm: 3.8600 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0717 loss: 2.0717 2022/08/01 23:42:33 - mmengine - INFO - Epoch(train) [22][240/1879] lr: 2.0000e-02 eta: 2 days, 13:43:05 time: 0.9333 data_time: 0.0319 memory: 11089 grad_norm: 3.8453 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8866 loss: 1.8866 2022/08/01 23:42:51 - mmengine - INFO - Epoch(train) [22][260/1879] lr: 2.0000e-02 eta: 2 days, 13:42:44 time: 0.8999 data_time: 0.0265 memory: 11089 grad_norm: 3.8282 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1493 loss: 2.1493 2022/08/01 23:43:10 - mmengine - INFO - Epoch(train) [22][280/1879] lr: 2.0000e-02 eta: 2 days, 13:42:27 time: 0.9289 data_time: 0.0333 memory: 11089 grad_norm: 3.8214 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9833 loss: 1.9833 2022/08/01 23:43:29 - mmengine - INFO - Epoch(train) [22][300/1879] lr: 2.0000e-02 eta: 2 days, 13:42:13 time: 0.9535 data_time: 0.0364 memory: 11089 grad_norm: 3.8203 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9654 loss: 1.9654 2022/08/01 23:43:48 - mmengine - INFO - Epoch(train) [22][320/1879] lr: 2.0000e-02 eta: 2 days, 13:41:59 time: 0.9470 data_time: 0.0357 memory: 11089 grad_norm: 3.8741 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2144 loss: 2.2144 2022/08/01 23:44:06 - mmengine - INFO - Epoch(train) [22][340/1879] lr: 2.0000e-02 eta: 2 days, 13:41:41 time: 0.9223 data_time: 0.0312 memory: 11089 grad_norm: 3.7015 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9681 loss: 1.9681 2022/08/01 23:44:25 - mmengine - INFO - Epoch(train) [22][360/1879] lr: 2.0000e-02 eta: 2 days, 13:41:26 time: 0.9476 data_time: 0.0359 memory: 11089 grad_norm: 3.7944 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0112 loss: 2.0112 2022/08/01 23:44:44 - mmengine - INFO - Epoch(train) [22][380/1879] lr: 2.0000e-02 eta: 2 days, 13:41:09 time: 0.9278 data_time: 0.0351 memory: 11089 grad_norm: 3.7972 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1777 loss: 2.1777 2022/08/01 23:45:02 - mmengine - INFO - Epoch(train) [22][400/1879] lr: 2.0000e-02 eta: 2 days, 13:40:52 time: 0.9243 data_time: 0.0273 memory: 11089 grad_norm: 3.8279 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2521 loss: 2.2521 2022/08/01 23:45:21 - mmengine - INFO - Epoch(train) [22][420/1879] lr: 2.0000e-02 eta: 2 days, 13:40:33 time: 0.9122 data_time: 0.0279 memory: 11089 grad_norm: 3.9266 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8368 loss: 1.8368 2022/08/01 23:45:39 - mmengine - INFO - Epoch(train) [22][440/1879] lr: 2.0000e-02 eta: 2 days, 13:40:14 time: 0.9195 data_time: 0.0276 memory: 11089 grad_norm: 3.9013 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0662 loss: 2.0662 2022/08/01 23:45:57 - mmengine - INFO - Epoch(train) [22][460/1879] lr: 2.0000e-02 eta: 2 days, 13:39:57 time: 0.9243 data_time: 0.0355 memory: 11089 grad_norm: 3.8226 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0854 loss: 2.0854 2022/08/01 23:46:16 - mmengine - INFO - Epoch(train) [22][480/1879] lr: 2.0000e-02 eta: 2 days, 13:39:43 time: 0.9524 data_time: 0.0356 memory: 11089 grad_norm: 3.7879 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2926 loss: 2.2926 2022/08/01 23:46:35 - mmengine - INFO - Epoch(train) [22][500/1879] lr: 2.0000e-02 eta: 2 days, 13:39:27 time: 0.9425 data_time: 0.0319 memory: 11089 grad_norm: 3.7019 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0811 loss: 2.0811 2022/08/01 23:46:54 - mmengine - INFO - Epoch(train) [22][520/1879] lr: 2.0000e-02 eta: 2 days, 13:39:13 time: 0.9482 data_time: 0.0299 memory: 11089 grad_norm: 3.7760 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1533 loss: 2.1533 2022/08/01 23:47:12 - mmengine - INFO - Epoch(train) [22][540/1879] lr: 2.0000e-02 eta: 2 days, 13:38:54 time: 0.9104 data_time: 0.0291 memory: 11089 grad_norm: 3.8178 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1222 loss: 2.1222 2022/08/01 23:47:13 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/01 23:47:31 - mmengine - INFO - Epoch(train) [22][560/1879] lr: 2.0000e-02 eta: 2 days, 13:38:35 time: 0.9168 data_time: 0.0310 memory: 11089 grad_norm: 3.8010 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1356 loss: 2.1356 2022/08/01 23:47:50 - mmengine - INFO - Epoch(train) [22][580/1879] lr: 2.0000e-02 eta: 2 days, 13:38:20 time: 0.9417 data_time: 0.0331 memory: 11089 grad_norm: 3.8341 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3415 loss: 2.3415 2022/08/01 23:48:08 - mmengine - INFO - Epoch(train) [22][600/1879] lr: 2.0000e-02 eta: 2 days, 13:38:01 time: 0.9161 data_time: 0.0331 memory: 11089 grad_norm: 3.7166 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0355 loss: 2.0355 2022/08/01 23:48:26 - mmengine - INFO - Epoch(train) [22][620/1879] lr: 2.0000e-02 eta: 2 days, 13:37:39 time: 0.8853 data_time: 0.0317 memory: 11089 grad_norm: 3.8536 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1513 loss: 2.1513 2022/08/01 23:48:44 - mmengine - INFO - Epoch(train) [22][640/1879] lr: 2.0000e-02 eta: 2 days, 13:37:21 time: 0.9181 data_time: 0.0316 memory: 11089 grad_norm: 3.7931 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.0851 loss: 2.0851 2022/08/01 23:49:02 - mmengine - INFO - Epoch(train) [22][660/1879] lr: 2.0000e-02 eta: 2 days, 13:37:00 time: 0.9035 data_time: 0.0286 memory: 11089 grad_norm: 3.8253 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8634 loss: 1.8634 2022/08/01 23:49:20 - mmengine - INFO - Epoch(train) [22][680/1879] lr: 2.0000e-02 eta: 2 days, 13:36:41 time: 0.9105 data_time: 0.0276 memory: 11089 grad_norm: 3.8984 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1067 loss: 2.1067 2022/08/01 23:49:39 - mmengine - INFO - Epoch(train) [22][700/1879] lr: 2.0000e-02 eta: 2 days, 13:36:23 time: 0.9145 data_time: 0.0260 memory: 11089 grad_norm: 3.8566 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2701 loss: 2.2701 2022/08/01 23:49:58 - mmengine - INFO - Epoch(train) [22][720/1879] lr: 2.0000e-02 eta: 2 days, 13:36:08 time: 0.9495 data_time: 0.0364 memory: 11089 grad_norm: 3.8268 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0766 loss: 2.0766 2022/08/01 23:50:16 - mmengine - INFO - Epoch(train) [22][740/1879] lr: 2.0000e-02 eta: 2 days, 13:35:49 time: 0.9150 data_time: 0.0260 memory: 11089 grad_norm: 3.8462 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0787 loss: 2.0787 2022/08/01 23:50:34 - mmengine - INFO - Epoch(train) [22][760/1879] lr: 2.0000e-02 eta: 2 days, 13:35:31 time: 0.9139 data_time: 0.0274 memory: 11089 grad_norm: 3.8936 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9884 loss: 1.9884 2022/08/01 23:50:53 - mmengine - INFO - Epoch(train) [22][780/1879] lr: 2.0000e-02 eta: 2 days, 13:35:12 time: 0.9165 data_time: 0.0326 memory: 11089 grad_norm: 3.8743 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1281 loss: 2.1281 2022/08/01 23:51:11 - mmengine - INFO - Epoch(train) [22][800/1879] lr: 2.0000e-02 eta: 2 days, 13:34:52 time: 0.9043 data_time: 0.0240 memory: 11089 grad_norm: 3.8339 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1472 loss: 2.1472 2022/08/01 23:51:29 - mmengine - INFO - Epoch(train) [22][820/1879] lr: 2.0000e-02 eta: 2 days, 13:34:33 time: 0.9138 data_time: 0.0287 memory: 11089 grad_norm: 3.8011 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8606 loss: 1.8606 2022/08/01 23:51:47 - mmengine - INFO - Epoch(train) [22][840/1879] lr: 2.0000e-02 eta: 2 days, 13:34:16 time: 0.9227 data_time: 0.0320 memory: 11089 grad_norm: 3.7997 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8988 loss: 1.8988 2022/08/01 23:52:06 - mmengine - INFO - Epoch(train) [22][860/1879] lr: 2.0000e-02 eta: 2 days, 13:33:57 time: 0.9159 data_time: 0.0326 memory: 11089 grad_norm: 3.9062 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7699 loss: 1.7699 2022/08/01 23:52:24 - mmengine - INFO - Epoch(train) [22][880/1879] lr: 2.0000e-02 eta: 2 days, 13:33:36 time: 0.8982 data_time: 0.0273 memory: 11089 grad_norm: 3.8076 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0060 loss: 2.0060 2022/08/01 23:52:42 - mmengine - INFO - Epoch(train) [22][900/1879] lr: 2.0000e-02 eta: 2 days, 13:33:17 time: 0.9135 data_time: 0.0342 memory: 11089 grad_norm: 3.7698 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8369 loss: 1.8369 2022/08/01 23:53:01 - mmengine - INFO - Epoch(train) [22][920/1879] lr: 2.0000e-02 eta: 2 days, 13:33:02 time: 0.9381 data_time: 0.0354 memory: 11089 grad_norm: 3.8251 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0861 loss: 2.0861 2022/08/01 23:53:19 - mmengine - INFO - Epoch(train) [22][940/1879] lr: 2.0000e-02 eta: 2 days, 13:32:42 time: 0.9065 data_time: 0.0298 memory: 11089 grad_norm: 3.8865 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1122 loss: 2.1122 2022/08/01 23:53:37 - mmengine - INFO - Epoch(train) [22][960/1879] lr: 2.0000e-02 eta: 2 days, 13:32:24 time: 0.9248 data_time: 0.0290 memory: 11089 grad_norm: 3.8628 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9315 loss: 1.9315 2022/08/01 23:53:56 - mmengine - INFO - Epoch(train) [22][980/1879] lr: 2.0000e-02 eta: 2 days, 13:32:08 time: 0.9352 data_time: 0.0344 memory: 11089 grad_norm: 3.8654 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0212 loss: 2.0212 2022/08/01 23:54:15 - mmengine - INFO - Epoch(train) [22][1000/1879] lr: 2.0000e-02 eta: 2 days, 13:31:51 time: 0.9240 data_time: 0.0319 memory: 11089 grad_norm: 3.7033 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9682 loss: 1.9682 2022/08/01 23:54:34 - mmengine - INFO - Epoch(train) [22][1020/1879] lr: 2.0000e-02 eta: 2 days, 13:31:36 time: 0.9512 data_time: 0.0353 memory: 11089 grad_norm: 3.7706 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8621 loss: 1.8621 2022/08/01 23:54:52 - mmengine - INFO - Epoch(train) [22][1040/1879] lr: 2.0000e-02 eta: 2 days, 13:31:20 time: 0.9339 data_time: 0.0359 memory: 11089 grad_norm: 3.8341 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0203 loss: 2.0203 2022/08/01 23:55:11 - mmengine - INFO - Epoch(train) [22][1060/1879] lr: 2.0000e-02 eta: 2 days, 13:31:02 time: 0.9209 data_time: 0.0289 memory: 11089 grad_norm: 3.8797 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1761 loss: 2.1761 2022/08/01 23:55:29 - mmengine - INFO - Epoch(train) [22][1080/1879] lr: 2.0000e-02 eta: 2 days, 13:30:46 time: 0.9388 data_time: 0.0370 memory: 11089 grad_norm: 3.7949 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0191 loss: 2.0191 2022/08/01 23:55:48 - mmengine - INFO - Epoch(train) [22][1100/1879] lr: 2.0000e-02 eta: 2 days, 13:30:30 time: 0.9369 data_time: 0.0337 memory: 11089 grad_norm: 3.8878 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1255 loss: 2.1255 2022/08/01 23:56:07 - mmengine - INFO - Epoch(train) [22][1120/1879] lr: 2.0000e-02 eta: 2 days, 13:30:13 time: 0.9264 data_time: 0.0343 memory: 11089 grad_norm: 3.8454 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9671 loss: 1.9671 2022/08/01 23:56:25 - mmengine - INFO - Epoch(train) [22][1140/1879] lr: 2.0000e-02 eta: 2 days, 13:29:55 time: 0.9223 data_time: 0.0393 memory: 11089 grad_norm: 3.8106 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1240 loss: 2.1240 2022/08/01 23:56:43 - mmengine - INFO - Epoch(train) [22][1160/1879] lr: 2.0000e-02 eta: 2 days, 13:29:35 time: 0.9092 data_time: 0.0294 memory: 11089 grad_norm: 3.9322 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1483 loss: 2.1483 2022/08/01 23:57:02 - mmengine - INFO - Epoch(train) [22][1180/1879] lr: 2.0000e-02 eta: 2 days, 13:29:17 time: 0.9194 data_time: 0.0306 memory: 11089 grad_norm: 3.8710 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0014 loss: 2.0014 2022/08/01 23:57:20 - mmengine - INFO - Epoch(train) [22][1200/1879] lr: 2.0000e-02 eta: 2 days, 13:28:59 time: 0.9212 data_time: 0.0306 memory: 11089 grad_norm: 3.7967 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0903 loss: 2.0903 2022/08/01 23:57:39 - mmengine - INFO - Epoch(train) [22][1220/1879] lr: 2.0000e-02 eta: 2 days, 13:28:43 time: 0.9333 data_time: 0.0392 memory: 11089 grad_norm: 3.8433 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9136 loss: 1.9136 2022/08/01 23:57:57 - mmengine - INFO - Epoch(train) [22][1240/1879] lr: 2.0000e-02 eta: 2 days, 13:28:24 time: 0.9142 data_time: 0.0322 memory: 11089 grad_norm: 3.8352 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1407 loss: 2.1407 2022/08/01 23:58:15 - mmengine - INFO - Epoch(train) [22][1260/1879] lr: 2.0000e-02 eta: 2 days, 13:28:03 time: 0.8962 data_time: 0.0236 memory: 11089 grad_norm: 3.7589 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1059 loss: 2.1059 2022/08/01 23:58:33 - mmengine - INFO - Epoch(train) [22][1280/1879] lr: 2.0000e-02 eta: 2 days, 13:27:44 time: 0.9069 data_time: 0.0288 memory: 11089 grad_norm: 3.7771 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9050 loss: 1.9050 2022/08/01 23:58:52 - mmengine - INFO - Epoch(train) [22][1300/1879] lr: 2.0000e-02 eta: 2 days, 13:27:27 time: 0.9328 data_time: 0.0321 memory: 11089 grad_norm: 3.8484 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8596 loss: 1.8596 2022/08/01 23:59:10 - mmengine - INFO - Epoch(train) [22][1320/1879] lr: 2.0000e-02 eta: 2 days, 13:27:08 time: 0.9127 data_time: 0.0299 memory: 11089 grad_norm: 3.9134 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1051 loss: 2.1051 2022/08/01 23:59:28 - mmengine - INFO - Epoch(train) [22][1340/1879] lr: 2.0000e-02 eta: 2 days, 13:26:50 time: 0.9210 data_time: 0.0315 memory: 11089 grad_norm: 3.8454 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1293 loss: 2.1293 2022/08/01 23:59:47 - mmengine - INFO - Epoch(train) [22][1360/1879] lr: 2.0000e-02 eta: 2 days, 13:26:32 time: 0.9217 data_time: 0.0281 memory: 11089 grad_norm: 3.7783 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3192 loss: 2.3192 2022/08/02 00:00:08 - mmengine - INFO - Epoch(train) [22][1380/1879] lr: 2.0000e-02 eta: 2 days, 13:26:28 time: 1.0404 data_time: 0.0417 memory: 11089 grad_norm: 3.7727 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0244 loss: 2.0244 2022/08/02 00:00:26 - mmengine - INFO - Epoch(train) [22][1400/1879] lr: 2.0000e-02 eta: 2 days, 13:26:08 time: 0.9026 data_time: 0.0273 memory: 11089 grad_norm: 3.8370 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2577 loss: 2.2577 2022/08/02 00:00:44 - mmengine - INFO - Epoch(train) [22][1420/1879] lr: 2.0000e-02 eta: 2 days, 13:25:49 time: 0.9132 data_time: 0.0317 memory: 11089 grad_norm: 3.7667 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0545 loss: 2.0545 2022/08/02 00:01:02 - mmengine - INFO - Epoch(train) [22][1440/1879] lr: 2.0000e-02 eta: 2 days, 13:25:29 time: 0.9061 data_time: 0.0304 memory: 11089 grad_norm: 3.7678 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9641 loss: 1.9641 2022/08/02 00:01:21 - mmengine - INFO - Epoch(train) [22][1460/1879] lr: 2.0000e-02 eta: 2 days, 13:25:12 time: 0.9216 data_time: 0.0331 memory: 11089 grad_norm: 3.7839 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0380 loss: 2.0380 2022/08/02 00:01:40 - mmengine - INFO - Epoch(train) [22][1480/1879] lr: 2.0000e-02 eta: 2 days, 13:24:57 time: 0.9476 data_time: 0.0367 memory: 11089 grad_norm: 3.8431 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9000 loss: 1.9000 2022/08/02 00:01:58 - mmengine - INFO - Epoch(train) [22][1500/1879] lr: 2.0000e-02 eta: 2 days, 13:24:41 time: 0.9437 data_time: 0.0391 memory: 11089 grad_norm: 3.8948 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3423 loss: 2.3423 2022/08/02 00:02:17 - mmengine - INFO - Epoch(train) [22][1520/1879] lr: 2.0000e-02 eta: 2 days, 13:24:26 time: 0.9412 data_time: 0.0338 memory: 11089 grad_norm: 3.8425 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9269 loss: 1.9269 2022/08/02 00:02:36 - mmengine - INFO - Epoch(train) [22][1540/1879] lr: 2.0000e-02 eta: 2 days, 13:24:10 time: 0.9434 data_time: 0.0300 memory: 11089 grad_norm: 3.8325 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0075 loss: 2.0075 2022/08/02 00:02:37 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 00:02:54 - mmengine - INFO - Epoch(train) [22][1560/1879] lr: 2.0000e-02 eta: 2 days, 13:23:51 time: 0.9055 data_time: 0.0253 memory: 11089 grad_norm: 3.8462 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0796 loss: 2.0796 2022/08/02 00:03:13 - mmengine - INFO - Epoch(train) [22][1580/1879] lr: 2.0000e-02 eta: 2 days, 13:23:34 time: 0.9292 data_time: 0.0324 memory: 11089 grad_norm: 3.7541 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1611 loss: 2.1611 2022/08/02 00:03:31 - mmengine - INFO - Epoch(train) [22][1600/1879] lr: 2.0000e-02 eta: 2 days, 13:23:17 time: 0.9318 data_time: 0.0276 memory: 11089 grad_norm: 3.9869 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2249 loss: 2.2249 2022/08/02 00:03:50 - mmengine - INFO - Epoch(train) [22][1620/1879] lr: 2.0000e-02 eta: 2 days, 13:22:58 time: 0.9087 data_time: 0.0308 memory: 11089 grad_norm: 3.8486 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2040 loss: 2.2040 2022/08/02 00:04:08 - mmengine - INFO - Epoch(train) [22][1640/1879] lr: 2.0000e-02 eta: 2 days, 13:22:40 time: 0.9272 data_time: 0.0353 memory: 11089 grad_norm: 3.9377 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1147 loss: 2.1147 2022/08/02 00:04:26 - mmengine - INFO - Epoch(train) [22][1660/1879] lr: 2.0000e-02 eta: 2 days, 13:22:22 time: 0.9166 data_time: 0.0341 memory: 11089 grad_norm: 3.8141 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9757 loss: 1.9757 2022/08/02 00:04:45 - mmengine - INFO - Epoch(train) [22][1680/1879] lr: 2.0000e-02 eta: 2 days, 13:22:03 time: 0.9137 data_time: 0.0267 memory: 11089 grad_norm: 3.8540 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8790 loss: 1.8790 2022/08/02 00:05:03 - mmengine - INFO - Epoch(train) [22][1700/1879] lr: 2.0000e-02 eta: 2 days, 13:21:43 time: 0.9059 data_time: 0.0275 memory: 11089 grad_norm: 3.7997 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1689 loss: 2.1689 2022/08/02 00:05:22 - mmengine - INFO - Epoch(train) [22][1720/1879] lr: 2.0000e-02 eta: 2 days, 13:21:26 time: 0.9302 data_time: 0.0282 memory: 11089 grad_norm: 3.7882 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0768 loss: 2.0768 2022/08/02 00:05:40 - mmengine - INFO - Epoch(train) [22][1740/1879] lr: 2.0000e-02 eta: 2 days, 13:21:09 time: 0.9283 data_time: 0.0342 memory: 11089 grad_norm: 3.7352 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8478 loss: 1.8478 2022/08/02 00:05:58 - mmengine - INFO - Epoch(train) [22][1760/1879] lr: 2.0000e-02 eta: 2 days, 13:20:49 time: 0.9053 data_time: 0.0283 memory: 11089 grad_norm: 3.8805 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0576 loss: 2.0576 2022/08/02 00:06:17 - mmengine - INFO - Epoch(train) [22][1780/1879] lr: 2.0000e-02 eta: 2 days, 13:20:32 time: 0.9257 data_time: 0.0293 memory: 11089 grad_norm: 3.8012 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0392 loss: 2.0392 2022/08/02 00:06:35 - mmengine - INFO - Epoch(train) [22][1800/1879] lr: 2.0000e-02 eta: 2 days, 13:20:13 time: 0.9116 data_time: 0.0301 memory: 11089 grad_norm: 3.7451 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9682 loss: 1.9682 2022/08/02 00:06:53 - mmengine - INFO - Epoch(train) [22][1820/1879] lr: 2.0000e-02 eta: 2 days, 13:19:55 time: 0.9248 data_time: 0.0298 memory: 11089 grad_norm: 3.8193 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0754 loss: 2.0754 2022/08/02 00:07:12 - mmengine - INFO - Epoch(train) [22][1840/1879] lr: 2.0000e-02 eta: 2 days, 13:19:36 time: 0.9108 data_time: 0.0227 memory: 11089 grad_norm: 3.7828 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9226 loss: 1.9226 2022/08/02 00:07:30 - mmengine - INFO - Epoch(train) [22][1860/1879] lr: 2.0000e-02 eta: 2 days, 13:19:20 time: 0.9397 data_time: 0.0383 memory: 11089 grad_norm: 3.7793 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0967 loss: 2.0967 2022/08/02 00:07:49 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 00:07:49 - mmengine - INFO - Epoch(train) [22][1879/1879] lr: 2.0000e-02 eta: 2 days, 13:19:20 time: 0.9521 data_time: 0.0354 memory: 11089 grad_norm: 3.7954 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.0377 loss: 2.0377 2022/08/02 00:08:09 - mmengine - INFO - Epoch(train) [23][20/1879] lr: 2.0000e-02 eta: 2 days, 13:17:13 time: 1.0033 data_time: 0.1346 memory: 11089 grad_norm: 3.7534 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0967 loss: 2.0967 2022/08/02 00:08:27 - mmengine - INFO - Epoch(train) [23][40/1879] lr: 2.0000e-02 eta: 2 days, 13:16:55 time: 0.9163 data_time: 0.0256 memory: 11089 grad_norm: 3.7890 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0694 loss: 2.0694 2022/08/02 00:08:46 - mmengine - INFO - Epoch(train) [23][60/1879] lr: 2.0000e-02 eta: 2 days, 13:16:39 time: 0.9379 data_time: 0.0324 memory: 11089 grad_norm: 3.8973 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0032 loss: 2.0032 2022/08/02 00:09:04 - mmengine - INFO - Epoch(train) [23][80/1879] lr: 2.0000e-02 eta: 2 days, 13:16:20 time: 0.9143 data_time: 0.0266 memory: 11089 grad_norm: 3.8590 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9950 loss: 1.9950 2022/08/02 00:09:23 - mmengine - INFO - Epoch(train) [23][100/1879] lr: 2.0000e-02 eta: 2 days, 13:16:02 time: 0.9247 data_time: 0.0316 memory: 11089 grad_norm: 3.8608 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0467 loss: 2.0467 2022/08/02 00:09:41 - mmengine - INFO - Epoch(train) [23][120/1879] lr: 2.0000e-02 eta: 2 days, 13:15:43 time: 0.9120 data_time: 0.0317 memory: 11089 grad_norm: 3.8607 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.2482 loss: 2.2482 2022/08/02 00:09:59 - mmengine - INFO - Epoch(train) [23][140/1879] lr: 2.0000e-02 eta: 2 days, 13:15:25 time: 0.9208 data_time: 0.0346 memory: 11089 grad_norm: 3.8777 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8933 loss: 1.8933 2022/08/02 00:10:17 - mmengine - INFO - Epoch(train) [23][160/1879] lr: 2.0000e-02 eta: 2 days, 13:15:05 time: 0.8962 data_time: 0.0288 memory: 11089 grad_norm: 3.7878 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0876 loss: 2.0876 2022/08/02 00:10:36 - mmengine - INFO - Epoch(train) [23][180/1879] lr: 2.0000e-02 eta: 2 days, 13:14:49 time: 0.9444 data_time: 0.0284 memory: 11089 grad_norm: 3.7695 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0048 loss: 2.0048 2022/08/02 00:10:55 - mmengine - INFO - Epoch(train) [23][200/1879] lr: 2.0000e-02 eta: 2 days, 13:14:33 time: 0.9334 data_time: 0.0357 memory: 11089 grad_norm: 3.7688 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0867 loss: 2.0867 2022/08/02 00:11:13 - mmengine - INFO - Epoch(train) [23][220/1879] lr: 2.0000e-02 eta: 2 days, 13:14:16 time: 0.9289 data_time: 0.0265 memory: 11089 grad_norm: 3.9117 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1189 loss: 2.1189 2022/08/02 00:11:32 - mmengine - INFO - Epoch(train) [23][240/1879] lr: 2.0000e-02 eta: 2 days, 13:14:02 time: 0.9596 data_time: 0.0338 memory: 11089 grad_norm: 3.7736 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0756 loss: 2.0756 2022/08/02 00:11:51 - mmengine - INFO - Epoch(train) [23][260/1879] lr: 2.0000e-02 eta: 2 days, 13:13:44 time: 0.9129 data_time: 0.0253 memory: 11089 grad_norm: 3.8628 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9579 loss: 1.9579 2022/08/02 00:12:10 - mmengine - INFO - Epoch(train) [23][280/1879] lr: 2.0000e-02 eta: 2 days, 13:13:28 time: 0.9390 data_time: 0.0300 memory: 11089 grad_norm: 3.8357 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8621 loss: 1.8621 2022/08/02 00:12:28 - mmengine - INFO - Epoch(train) [23][300/1879] lr: 2.0000e-02 eta: 2 days, 13:13:09 time: 0.9163 data_time: 0.0239 memory: 11089 grad_norm: 3.8417 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9475 loss: 1.9475 2022/08/02 00:12:47 - mmengine - INFO - Epoch(train) [23][320/1879] lr: 2.0000e-02 eta: 2 days, 13:12:54 time: 0.9485 data_time: 0.0344 memory: 11089 grad_norm: 3.9221 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0403 loss: 2.0403 2022/08/02 00:13:05 - mmengine - INFO - Epoch(train) [23][340/1879] lr: 2.0000e-02 eta: 2 days, 13:12:36 time: 0.9130 data_time: 0.0262 memory: 11089 grad_norm: 3.8533 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1804 loss: 2.1804 2022/08/02 00:13:24 - mmengine - INFO - Epoch(train) [23][360/1879] lr: 2.0000e-02 eta: 2 days, 13:12:18 time: 0.9272 data_time: 0.0360 memory: 11089 grad_norm: 3.8253 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.1807 loss: 2.1807 2022/08/02 00:13:42 - mmengine - INFO - Epoch(train) [23][380/1879] lr: 2.0000e-02 eta: 2 days, 13:12:01 time: 0.9224 data_time: 0.0263 memory: 11089 grad_norm: 3.9306 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0275 loss: 2.0275 2022/08/02 00:14:00 - mmengine - INFO - Epoch(train) [23][400/1879] lr: 2.0000e-02 eta: 2 days, 13:11:42 time: 0.9131 data_time: 0.0298 memory: 11089 grad_norm: 3.8921 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1344 loss: 2.1344 2022/08/02 00:14:18 - mmengine - INFO - Epoch(train) [23][420/1879] lr: 2.0000e-02 eta: 2 days, 13:11:21 time: 0.8966 data_time: 0.0308 memory: 11089 grad_norm: 3.8300 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0055 loss: 2.0055 2022/08/02 00:14:37 - mmengine - INFO - Epoch(train) [23][440/1879] lr: 2.0000e-02 eta: 2 days, 13:11:04 time: 0.9314 data_time: 0.0342 memory: 11089 grad_norm: 3.8927 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1623 loss: 2.1623 2022/08/02 00:14:55 - mmengine - INFO - Epoch(train) [23][460/1879] lr: 2.0000e-02 eta: 2 days, 13:10:46 time: 0.9182 data_time: 0.0358 memory: 11089 grad_norm: 3.8303 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2397 loss: 2.2397 2022/08/02 00:15:12 - mmengine - INFO - Epoch(train) [23][480/1879] lr: 2.0000e-02 eta: 2 days, 13:10:20 time: 0.8543 data_time: 0.0321 memory: 11089 grad_norm: 3.8563 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1376 loss: 2.1376 2022/08/02 00:15:31 - mmengine - INFO - Epoch(train) [23][500/1879] lr: 2.0000e-02 eta: 2 days, 13:10:02 time: 0.9155 data_time: 0.0318 memory: 11089 grad_norm: 3.8563 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1332 loss: 2.1332 2022/08/02 00:15:49 - mmengine - INFO - Epoch(train) [23][520/1879] lr: 2.0000e-02 eta: 2 days, 13:09:45 time: 0.9274 data_time: 0.0341 memory: 11089 grad_norm: 3.8094 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0483 loss: 2.0483 2022/08/02 00:16:08 - mmengine - INFO - Epoch(train) [23][540/1879] lr: 2.0000e-02 eta: 2 days, 13:09:28 time: 0.9313 data_time: 0.0262 memory: 11089 grad_norm: 4.0301 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0552 loss: 2.0552 2022/08/02 00:16:26 - mmengine - INFO - Epoch(train) [23][560/1879] lr: 2.0000e-02 eta: 2 days, 13:09:08 time: 0.9094 data_time: 0.0263 memory: 11089 grad_norm: 3.8579 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9952 loss: 1.9952 2022/08/02 00:16:44 - mmengine - INFO - Epoch(train) [23][580/1879] lr: 2.0000e-02 eta: 2 days, 13:08:48 time: 0.9026 data_time: 0.0243 memory: 11089 grad_norm: 3.8214 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8968 loss: 1.8968 2022/08/02 00:17:02 - mmengine - INFO - Epoch(train) [23][600/1879] lr: 2.0000e-02 eta: 2 days, 13:08:30 time: 0.9124 data_time: 0.0264 memory: 11089 grad_norm: 3.8893 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9947 loss: 1.9947 2022/08/02 00:17:21 - mmengine - INFO - Epoch(train) [23][620/1879] lr: 2.0000e-02 eta: 2 days, 13:08:13 time: 0.9301 data_time: 0.0318 memory: 11089 grad_norm: 3.7981 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0533 loss: 2.0533 2022/08/02 00:17:40 - mmengine - INFO - Epoch(train) [23][640/1879] lr: 2.0000e-02 eta: 2 days, 13:07:56 time: 0.9362 data_time: 0.0395 memory: 11089 grad_norm: 3.8383 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9049 loss: 1.9049 2022/08/02 00:17:58 - mmengine - INFO - Epoch(train) [23][660/1879] lr: 2.0000e-02 eta: 2 days, 13:07:40 time: 0.9345 data_time: 0.0283 memory: 11089 grad_norm: 3.7749 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9856 loss: 1.9856 2022/08/02 00:18:00 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 00:18:17 - mmengine - INFO - Epoch(train) [23][680/1879] lr: 2.0000e-02 eta: 2 days, 13:07:24 time: 0.9381 data_time: 0.0367 memory: 11089 grad_norm: 3.9084 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0175 loss: 2.0175 2022/08/02 00:18:35 - mmengine - INFO - Epoch(train) [23][700/1879] lr: 2.0000e-02 eta: 2 days, 13:07:05 time: 0.9095 data_time: 0.0263 memory: 11089 grad_norm: 4.0060 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0908 loss: 2.0908 2022/08/02 00:18:53 - mmengine - INFO - Epoch(train) [23][720/1879] lr: 2.0000e-02 eta: 2 days, 13:06:44 time: 0.8932 data_time: 0.0241 memory: 11089 grad_norm: 3.7796 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1216 loss: 2.1216 2022/08/02 00:19:12 - mmengine - INFO - Epoch(train) [23][740/1879] lr: 2.0000e-02 eta: 2 days, 13:06:25 time: 0.9173 data_time: 0.0337 memory: 11089 grad_norm: 3.8600 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1784 loss: 2.1784 2022/08/02 00:19:30 - mmengine - INFO - Epoch(train) [23][760/1879] lr: 2.0000e-02 eta: 2 days, 13:06:09 time: 0.9359 data_time: 0.0347 memory: 11089 grad_norm: 3.8404 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9823 loss: 1.9823 2022/08/02 00:19:49 - mmengine - INFO - Epoch(train) [23][780/1879] lr: 2.0000e-02 eta: 2 days, 13:05:51 time: 0.9166 data_time: 0.0263 memory: 11089 grad_norm: 3.8466 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0047 loss: 2.0047 2022/08/02 00:20:07 - mmengine - INFO - Epoch(train) [23][800/1879] lr: 2.0000e-02 eta: 2 days, 13:05:34 time: 0.9354 data_time: 0.0359 memory: 11089 grad_norm: 3.8377 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1781 loss: 2.1781 2022/08/02 00:20:26 - mmengine - INFO - Epoch(train) [23][820/1879] lr: 2.0000e-02 eta: 2 days, 13:05:15 time: 0.9116 data_time: 0.0297 memory: 11089 grad_norm: 3.7323 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0039 loss: 2.0039 2022/08/02 00:20:44 - mmengine - INFO - Epoch(train) [23][840/1879] lr: 2.0000e-02 eta: 2 days, 13:04:55 time: 0.8999 data_time: 0.0246 memory: 11089 grad_norm: 3.7777 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0588 loss: 2.0588 2022/08/02 00:21:02 - mmengine - INFO - Epoch(train) [23][860/1879] lr: 2.0000e-02 eta: 2 days, 13:04:36 time: 0.9106 data_time: 0.0270 memory: 11089 grad_norm: 3.8561 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8748 loss: 1.8748 2022/08/02 00:21:21 - mmengine - INFO - Epoch(train) [23][880/1879] lr: 2.0000e-02 eta: 2 days, 13:04:21 time: 0.9528 data_time: 0.0218 memory: 11089 grad_norm: 3.6894 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8896 loss: 1.8896 2022/08/02 00:21:39 - mmengine - INFO - Epoch(train) [23][900/1879] lr: 2.0000e-02 eta: 2 days, 13:04:02 time: 0.9083 data_time: 0.0279 memory: 11089 grad_norm: 3.8139 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9631 loss: 1.9631 2022/08/02 00:21:58 - mmengine - INFO - Epoch(train) [23][920/1879] lr: 2.0000e-02 eta: 2 days, 13:03:46 time: 0.9377 data_time: 0.0259 memory: 11089 grad_norm: 3.8376 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1687 loss: 2.1687 2022/08/02 00:22:16 - mmengine - INFO - Epoch(train) [23][940/1879] lr: 2.0000e-02 eta: 2 days, 13:03:27 time: 0.9141 data_time: 0.0244 memory: 11089 grad_norm: 3.9308 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0402 loss: 2.0402 2022/08/02 00:22:34 - mmengine - INFO - Epoch(train) [23][960/1879] lr: 2.0000e-02 eta: 2 days, 13:03:08 time: 0.9134 data_time: 0.0348 memory: 11089 grad_norm: 3.8360 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1261 loss: 2.1261 2022/08/02 00:22:53 - mmengine - INFO - Epoch(train) [23][980/1879] lr: 2.0000e-02 eta: 2 days, 13:02:52 time: 0.9376 data_time: 0.0366 memory: 11089 grad_norm: 3.8175 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0649 loss: 2.0649 2022/08/02 00:23:12 - mmengine - INFO - Epoch(train) [23][1000/1879] lr: 2.0000e-02 eta: 2 days, 13:02:35 time: 0.9271 data_time: 0.0290 memory: 11089 grad_norm: 3.7647 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9441 loss: 1.9441 2022/08/02 00:23:30 - mmengine - INFO - Epoch(train) [23][1020/1879] lr: 2.0000e-02 eta: 2 days, 13:02:17 time: 0.9184 data_time: 0.0305 memory: 11089 grad_norm: 3.9141 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7933 loss: 1.7933 2022/08/02 00:23:48 - mmengine - INFO - Epoch(train) [23][1040/1879] lr: 2.0000e-02 eta: 2 days, 13:01:56 time: 0.8921 data_time: 0.0338 memory: 11089 grad_norm: 3.8626 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0405 loss: 2.0405 2022/08/02 00:24:06 - mmengine - INFO - Epoch(train) [23][1060/1879] lr: 2.0000e-02 eta: 2 days, 13:01:35 time: 0.8949 data_time: 0.0274 memory: 11089 grad_norm: 3.7963 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0946 loss: 2.0946 2022/08/02 00:24:24 - mmengine - INFO - Epoch(train) [23][1080/1879] lr: 2.0000e-02 eta: 2 days, 13:01:18 time: 0.9321 data_time: 0.0288 memory: 11089 grad_norm: 3.8929 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9637 loss: 1.9637 2022/08/02 00:24:43 - mmengine - INFO - Epoch(train) [23][1100/1879] lr: 2.0000e-02 eta: 2 days, 13:00:59 time: 0.9143 data_time: 0.0273 memory: 11089 grad_norm: 3.7689 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9698 loss: 1.9698 2022/08/02 00:25:01 - mmengine - INFO - Epoch(train) [23][1120/1879] lr: 2.0000e-02 eta: 2 days, 13:00:41 time: 0.9153 data_time: 0.0298 memory: 11089 grad_norm: 3.7416 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9200 loss: 1.9200 2022/08/02 00:25:20 - mmengine - INFO - Epoch(train) [23][1140/1879] lr: 2.0000e-02 eta: 2 days, 13:00:26 time: 0.9464 data_time: 0.0300 memory: 11089 grad_norm: 3.8719 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9173 loss: 1.9173 2022/08/02 00:25:38 - mmengine - INFO - Epoch(train) [23][1160/1879] lr: 2.0000e-02 eta: 2 days, 13:00:08 time: 0.9215 data_time: 0.0302 memory: 11089 grad_norm: 3.7631 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1806 loss: 2.1806 2022/08/02 00:25:57 - mmengine - INFO - Epoch(train) [23][1180/1879] lr: 2.0000e-02 eta: 2 days, 12:59:50 time: 0.9194 data_time: 0.0337 memory: 11089 grad_norm: 3.8297 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9690 loss: 1.9690 2022/08/02 00:26:15 - mmengine - INFO - Epoch(train) [23][1200/1879] lr: 2.0000e-02 eta: 2 days, 12:59:32 time: 0.9202 data_time: 0.0256 memory: 11089 grad_norm: 3.8140 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9445 loss: 1.9445 2022/08/02 00:26:33 - mmengine - INFO - Epoch(train) [23][1220/1879] lr: 2.0000e-02 eta: 2 days, 12:59:11 time: 0.8997 data_time: 0.0299 memory: 11089 grad_norm: 3.7932 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0154 loss: 2.0154 2022/08/02 00:26:52 - mmengine - INFO - Epoch(train) [23][1240/1879] lr: 2.0000e-02 eta: 2 days, 12:58:56 time: 0.9483 data_time: 0.0329 memory: 11089 grad_norm: 3.8811 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1041 loss: 2.1041 2022/08/02 00:27:10 - mmengine - INFO - Epoch(train) [23][1260/1879] lr: 2.0000e-02 eta: 2 days, 12:58:38 time: 0.9187 data_time: 0.0293 memory: 11089 grad_norm: 3.8689 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9621 loss: 1.9621 2022/08/02 00:27:29 - mmengine - INFO - Epoch(train) [23][1280/1879] lr: 2.0000e-02 eta: 2 days, 12:58:21 time: 0.9317 data_time: 0.0304 memory: 11089 grad_norm: 3.8166 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1560 loss: 2.1560 2022/08/02 00:27:48 - mmengine - INFO - Epoch(train) [23][1300/1879] lr: 2.0000e-02 eta: 2 days, 12:58:04 time: 0.9267 data_time: 0.0262 memory: 11089 grad_norm: 3.8156 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2412 loss: 2.2412 2022/08/02 00:28:06 - mmengine - INFO - Epoch(train) [23][1320/1879] lr: 2.0000e-02 eta: 2 days, 12:57:45 time: 0.9164 data_time: 0.0317 memory: 11089 grad_norm: 3.7284 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9643 loss: 1.9643 2022/08/02 00:28:24 - mmengine - INFO - Epoch(train) [23][1340/1879] lr: 2.0000e-02 eta: 2 days, 12:57:28 time: 0.9245 data_time: 0.0264 memory: 11089 grad_norm: 3.9176 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8679 loss: 1.8679 2022/08/02 00:28:43 - mmengine - INFO - Epoch(train) [23][1360/1879] lr: 2.0000e-02 eta: 2 days, 12:57:09 time: 0.9105 data_time: 0.0279 memory: 11089 grad_norm: 3.8974 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2830 loss: 2.2830 2022/08/02 00:29:01 - mmengine - INFO - Epoch(train) [23][1380/1879] lr: 2.0000e-02 eta: 2 days, 12:56:52 time: 0.9327 data_time: 0.0345 memory: 11089 grad_norm: 3.9188 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9795 loss: 1.9795 2022/08/02 00:29:20 - mmengine - INFO - Epoch(train) [23][1400/1879] lr: 2.0000e-02 eta: 2 days, 12:56:35 time: 0.9314 data_time: 0.0305 memory: 11089 grad_norm: 3.7689 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0568 loss: 2.0568 2022/08/02 00:29:39 - mmengine - INFO - Epoch(train) [23][1420/1879] lr: 2.0000e-02 eta: 2 days, 12:56:20 time: 0.9414 data_time: 0.0407 memory: 11089 grad_norm: 3.6827 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9783 loss: 1.9783 2022/08/02 00:29:57 - mmengine - INFO - Epoch(train) [23][1440/1879] lr: 2.0000e-02 eta: 2 days, 12:56:01 time: 0.9144 data_time: 0.0275 memory: 11089 grad_norm: 3.7716 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0716 loss: 2.0716 2022/08/02 00:30:16 - mmengine - INFO - Epoch(train) [23][1460/1879] lr: 2.0000e-02 eta: 2 days, 12:55:44 time: 0.9333 data_time: 0.0300 memory: 11089 grad_norm: 3.7820 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9389 loss: 1.9389 2022/08/02 00:30:34 - mmengine - INFO - Epoch(train) [23][1480/1879] lr: 2.0000e-02 eta: 2 days, 12:55:27 time: 0.9241 data_time: 0.0257 memory: 11089 grad_norm: 3.9224 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0896 loss: 2.0896 2022/08/02 00:30:53 - mmengine - INFO - Epoch(train) [23][1500/1879] lr: 2.0000e-02 eta: 2 days, 12:55:10 time: 0.9301 data_time: 0.0301 memory: 11089 grad_norm: 3.7255 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8372 loss: 1.8372 2022/08/02 00:31:11 - mmengine - INFO - Epoch(train) [23][1520/1879] lr: 2.0000e-02 eta: 2 days, 12:54:51 time: 0.9171 data_time: 0.0276 memory: 11089 grad_norm: 3.8088 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1892 loss: 2.1892 2022/08/02 00:31:30 - mmengine - INFO - Epoch(train) [23][1540/1879] lr: 2.0000e-02 eta: 2 days, 12:54:34 time: 0.9268 data_time: 0.0294 memory: 11089 grad_norm: 3.7922 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9179 loss: 1.9179 2022/08/02 00:31:48 - mmengine - INFO - Epoch(train) [23][1560/1879] lr: 2.0000e-02 eta: 2 days, 12:54:17 time: 0.9311 data_time: 0.0344 memory: 11089 grad_norm: 3.8882 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3035 loss: 2.3035 2022/08/02 00:32:07 - mmengine - INFO - Epoch(train) [23][1580/1879] lr: 2.0000e-02 eta: 2 days, 12:53:58 time: 0.9117 data_time: 0.0336 memory: 11089 grad_norm: 3.7598 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0804 loss: 2.0804 2022/08/02 00:32:25 - mmengine - INFO - Epoch(train) [23][1600/1879] lr: 2.0000e-02 eta: 2 days, 12:53:39 time: 0.9072 data_time: 0.0275 memory: 11089 grad_norm: 3.8031 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0069 loss: 2.0069 2022/08/02 00:32:43 - mmengine - INFO - Epoch(train) [23][1620/1879] lr: 2.0000e-02 eta: 2 days, 12:53:23 time: 0.9384 data_time: 0.0311 memory: 11089 grad_norm: 3.8910 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2535 loss: 2.2535 2022/08/02 00:33:02 - mmengine - INFO - Epoch(train) [23][1640/1879] lr: 2.0000e-02 eta: 2 days, 12:53:08 time: 0.9521 data_time: 0.0352 memory: 11089 grad_norm: 3.8760 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0995 loss: 2.0995 2022/08/02 00:33:21 - mmengine - INFO - Epoch(train) [23][1660/1879] lr: 2.0000e-02 eta: 2 days, 12:52:51 time: 0.9271 data_time: 0.0284 memory: 11089 grad_norm: 3.8991 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9685 loss: 1.9685 2022/08/02 00:33:23 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 00:33:39 - mmengine - INFO - Epoch(train) [23][1680/1879] lr: 2.0000e-02 eta: 2 days, 12:52:33 time: 0.9219 data_time: 0.0313 memory: 11089 grad_norm: 3.8798 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.0051 loss: 2.0051 2022/08/02 00:33:58 - mmengine - INFO - Epoch(train) [23][1700/1879] lr: 2.0000e-02 eta: 2 days, 12:52:14 time: 0.9113 data_time: 0.0287 memory: 11089 grad_norm: 3.8213 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9551 loss: 1.9551 2022/08/02 00:34:16 - mmengine - INFO - Epoch(train) [23][1720/1879] lr: 2.0000e-02 eta: 2 days, 12:51:53 time: 0.8928 data_time: 0.0283 memory: 11089 grad_norm: 3.7723 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9775 loss: 1.9775 2022/08/02 00:34:34 - mmengine - INFO - Epoch(train) [23][1740/1879] lr: 2.0000e-02 eta: 2 days, 12:51:34 time: 0.9173 data_time: 0.0349 memory: 11089 grad_norm: 3.7513 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9964 loss: 1.9964 2022/08/02 00:34:53 - mmengine - INFO - Epoch(train) [23][1760/1879] lr: 2.0000e-02 eta: 2 days, 12:51:18 time: 0.9390 data_time: 0.0358 memory: 11089 grad_norm: 3.8661 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9334 loss: 1.9334 2022/08/02 00:35:11 - mmengine - INFO - Epoch(train) [23][1780/1879] lr: 2.0000e-02 eta: 2 days, 12:50:59 time: 0.9044 data_time: 0.0244 memory: 11089 grad_norm: 3.8286 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9331 loss: 1.9331 2022/08/02 00:35:29 - mmengine - INFO - Epoch(train) [23][1800/1879] lr: 2.0000e-02 eta: 2 days, 12:50:40 time: 0.9162 data_time: 0.0265 memory: 11089 grad_norm: 3.8017 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9621 loss: 1.9621 2022/08/02 00:35:47 - mmengine - INFO - Epoch(train) [23][1820/1879] lr: 2.0000e-02 eta: 2 days, 12:50:21 time: 0.9135 data_time: 0.0266 memory: 11089 grad_norm: 3.8403 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0554 loss: 2.0554 2022/08/02 00:36:06 - mmengine - INFO - Epoch(train) [23][1840/1879] lr: 2.0000e-02 eta: 2 days, 12:50:03 time: 0.9222 data_time: 0.0395 memory: 11089 grad_norm: 3.9264 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8684 loss: 1.8684 2022/08/02 00:36:24 - mmengine - INFO - Epoch(train) [23][1860/1879] lr: 2.0000e-02 eta: 2 days, 12:49:47 time: 0.9331 data_time: 0.0234 memory: 11089 grad_norm: 3.8702 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1114 loss: 2.1114 2022/08/02 00:36:42 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 00:36:42 - mmengine - INFO - Epoch(train) [23][1879/1879] lr: 2.0000e-02 eta: 2 days, 12:49:47 time: 0.9220 data_time: 0.0278 memory: 11089 grad_norm: 3.8647 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.0135 loss: 2.0135 2022/08/02 00:37:02 - mmengine - INFO - Epoch(train) [24][20/1879] lr: 2.0000e-02 eta: 2 days, 12:47:44 time: 0.9970 data_time: 0.1250 memory: 11089 grad_norm: 3.7857 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9117 loss: 1.9117 2022/08/02 00:37:20 - mmengine - INFO - Epoch(train) [24][40/1879] lr: 2.0000e-02 eta: 2 days, 12:47:25 time: 0.9166 data_time: 0.0249 memory: 11089 grad_norm: 3.8217 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1089 loss: 2.1089 2022/08/02 00:37:39 - mmengine - INFO - Epoch(train) [24][60/1879] lr: 2.0000e-02 eta: 2 days, 12:47:07 time: 0.9217 data_time: 0.0295 memory: 11089 grad_norm: 3.8363 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9806 loss: 1.9806 2022/08/02 00:37:57 - mmengine - INFO - Epoch(train) [24][80/1879] lr: 2.0000e-02 eta: 2 days, 12:46:48 time: 0.9049 data_time: 0.0277 memory: 11089 grad_norm: 3.7162 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.8569 loss: 1.8569 2022/08/02 00:38:15 - mmengine - INFO - Epoch(train) [24][100/1879] lr: 2.0000e-02 eta: 2 days, 12:46:29 time: 0.9181 data_time: 0.0332 memory: 11089 grad_norm: 3.8523 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8701 loss: 1.8701 2022/08/02 00:38:34 - mmengine - INFO - Epoch(train) [24][120/1879] lr: 2.0000e-02 eta: 2 days, 12:46:11 time: 0.9204 data_time: 0.0345 memory: 11089 grad_norm: 3.8040 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9797 loss: 1.9797 2022/08/02 00:38:52 - mmengine - INFO - Epoch(train) [24][140/1879] lr: 2.0000e-02 eta: 2 days, 12:45:52 time: 0.9085 data_time: 0.0278 memory: 11089 grad_norm: 3.8094 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1325 loss: 2.1325 2022/08/02 00:39:10 - mmengine - INFO - Epoch(train) [24][160/1879] lr: 2.0000e-02 eta: 2 days, 12:45:33 time: 0.9094 data_time: 0.0321 memory: 11089 grad_norm: 3.7754 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0591 loss: 2.0591 2022/08/02 00:39:29 - mmengine - INFO - Epoch(train) [24][180/1879] lr: 2.0000e-02 eta: 2 days, 12:45:16 time: 0.9311 data_time: 0.0325 memory: 11089 grad_norm: 3.9148 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0291 loss: 2.0291 2022/08/02 00:39:47 - mmengine - INFO - Epoch(train) [24][200/1879] lr: 2.0000e-02 eta: 2 days, 12:44:58 time: 0.9221 data_time: 0.0262 memory: 11089 grad_norm: 3.7618 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1300 loss: 2.1300 2022/08/02 00:40:05 - mmengine - INFO - Epoch(train) [24][220/1879] lr: 2.0000e-02 eta: 2 days, 12:44:38 time: 0.8955 data_time: 0.0296 memory: 11089 grad_norm: 3.8045 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0606 loss: 2.0606 2022/08/02 00:40:24 - mmengine - INFO - Epoch(train) [24][240/1879] lr: 2.0000e-02 eta: 2 days, 12:44:21 time: 0.9365 data_time: 0.0329 memory: 11089 grad_norm: 3.8945 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0052 loss: 2.0052 2022/08/02 00:40:42 - mmengine - INFO - Epoch(train) [24][260/1879] lr: 2.0000e-02 eta: 2 days, 12:44:01 time: 0.8960 data_time: 0.0253 memory: 11089 grad_norm: 3.9098 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9264 loss: 1.9264 2022/08/02 00:41:00 - mmengine - INFO - Epoch(train) [24][280/1879] lr: 2.0000e-02 eta: 2 days, 12:43:41 time: 0.9094 data_time: 0.0303 memory: 11089 grad_norm: 3.8448 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9596 loss: 1.9596 2022/08/02 00:41:18 - mmengine - INFO - Epoch(train) [24][300/1879] lr: 2.0000e-02 eta: 2 days, 12:43:24 time: 0.9238 data_time: 0.0340 memory: 11089 grad_norm: 3.7649 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0456 loss: 2.0456 2022/08/02 00:41:37 - mmengine - INFO - Epoch(train) [24][320/1879] lr: 2.0000e-02 eta: 2 days, 12:43:05 time: 0.9166 data_time: 0.0278 memory: 11089 grad_norm: 3.8283 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0546 loss: 2.0546 2022/08/02 00:41:55 - mmengine - INFO - Epoch(train) [24][340/1879] lr: 2.0000e-02 eta: 2 days, 12:42:47 time: 0.9164 data_time: 0.0326 memory: 11089 grad_norm: 3.8335 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0190 loss: 2.0190 2022/08/02 00:42:13 - mmengine - INFO - Epoch(train) [24][360/1879] lr: 2.0000e-02 eta: 2 days, 12:42:28 time: 0.9080 data_time: 0.0316 memory: 11089 grad_norm: 3.8458 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2189 loss: 2.2189 2022/08/02 00:42:31 - mmengine - INFO - Epoch(train) [24][380/1879] lr: 2.0000e-02 eta: 2 days, 12:42:08 time: 0.9021 data_time: 0.0265 memory: 11089 grad_norm: 3.9031 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1818 loss: 2.1818 2022/08/02 00:42:49 - mmengine - INFO - Epoch(train) [24][400/1879] lr: 2.0000e-02 eta: 2 days, 12:41:48 time: 0.9044 data_time: 0.0248 memory: 11089 grad_norm: 3.8514 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9750 loss: 1.9750 2022/08/02 00:43:08 - mmengine - INFO - Epoch(train) [24][420/1879] lr: 2.0000e-02 eta: 2 days, 12:41:30 time: 0.9174 data_time: 0.0317 memory: 11089 grad_norm: 3.6626 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8851 loss: 1.8851 2022/08/02 00:43:27 - mmengine - INFO - Epoch(train) [24][440/1879] lr: 2.0000e-02 eta: 2 days, 12:41:14 time: 0.9433 data_time: 0.0243 memory: 11089 grad_norm: 3.7454 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0100 loss: 2.0100 2022/08/02 00:43:45 - mmengine - INFO - Epoch(train) [24][460/1879] lr: 2.0000e-02 eta: 2 days, 12:40:59 time: 0.9473 data_time: 0.0346 memory: 11089 grad_norm: 3.6732 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8709 loss: 1.8709 2022/08/02 00:44:05 - mmengine - INFO - Epoch(train) [24][480/1879] lr: 2.0000e-02 eta: 2 days, 12:40:46 time: 0.9681 data_time: 0.0388 memory: 11089 grad_norm: 3.8868 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0052 loss: 2.0052 2022/08/02 00:44:23 - mmengine - INFO - Epoch(train) [24][500/1879] lr: 2.0000e-02 eta: 2 days, 12:40:27 time: 0.9068 data_time: 0.0326 memory: 11089 grad_norm: 3.8055 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9757 loss: 1.9757 2022/08/02 00:44:42 - mmengine - INFO - Epoch(train) [24][520/1879] lr: 2.0000e-02 eta: 2 days, 12:40:12 time: 0.9502 data_time: 0.0320 memory: 11089 grad_norm: 3.8722 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9785 loss: 1.9785 2022/08/02 00:45:01 - mmengine - INFO - Epoch(train) [24][540/1879] lr: 2.0000e-02 eta: 2 days, 12:39:55 time: 0.9312 data_time: 0.0337 memory: 11089 grad_norm: 3.7322 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0540 loss: 2.0540 2022/08/02 00:45:19 - mmengine - INFO - Epoch(train) [24][560/1879] lr: 2.0000e-02 eta: 2 days, 12:39:36 time: 0.9107 data_time: 0.0317 memory: 11089 grad_norm: 3.8739 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0791 loss: 2.0791 2022/08/02 00:45:37 - mmengine - INFO - Epoch(train) [24][580/1879] lr: 2.0000e-02 eta: 2 days, 12:39:17 time: 0.9143 data_time: 0.0345 memory: 11089 grad_norm: 3.8187 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0556 loss: 2.0556 2022/08/02 00:45:56 - mmengine - INFO - Epoch(train) [24][600/1879] lr: 2.0000e-02 eta: 2 days, 12:39:00 time: 0.9265 data_time: 0.0349 memory: 11089 grad_norm: 3.7419 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.0027 loss: 2.0027 2022/08/02 00:46:14 - mmengine - INFO - Epoch(train) [24][620/1879] lr: 2.0000e-02 eta: 2 days, 12:38:41 time: 0.9087 data_time: 0.0276 memory: 11089 grad_norm: 3.8303 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9290 loss: 1.9290 2022/08/02 00:46:32 - mmengine - INFO - Epoch(train) [24][640/1879] lr: 2.0000e-02 eta: 2 days, 12:38:22 time: 0.9091 data_time: 0.0319 memory: 11089 grad_norm: 3.7674 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9542 loss: 1.9542 2022/08/02 00:46:50 - mmengine - INFO - Epoch(train) [24][660/1879] lr: 2.0000e-02 eta: 2 days, 12:38:04 time: 0.9241 data_time: 0.0301 memory: 11089 grad_norm: 3.8037 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9576 loss: 1.9576 2022/08/02 00:47:09 - mmengine - INFO - Epoch(train) [24][680/1879] lr: 2.0000e-02 eta: 2 days, 12:37:47 time: 0.9290 data_time: 0.0259 memory: 11089 grad_norm: 3.7469 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9396 loss: 1.9396 2022/08/02 00:47:28 - mmengine - INFO - Epoch(train) [24][700/1879] lr: 2.0000e-02 eta: 2 days, 12:37:30 time: 0.9311 data_time: 0.0359 memory: 11089 grad_norm: 3.8593 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1370 loss: 2.1370 2022/08/02 00:47:47 - mmengine - INFO - Epoch(train) [24][720/1879] lr: 2.0000e-02 eta: 2 days, 12:37:15 time: 0.9438 data_time: 0.0328 memory: 11089 grad_norm: 3.8175 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.9058 loss: 1.9058 2022/08/02 00:48:05 - mmengine - INFO - Epoch(train) [24][740/1879] lr: 2.0000e-02 eta: 2 days, 12:36:54 time: 0.8976 data_time: 0.0285 memory: 11089 grad_norm: 3.7878 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9745 loss: 1.9745 2022/08/02 00:48:23 - mmengine - INFO - Epoch(train) [24][760/1879] lr: 2.0000e-02 eta: 2 days, 12:36:37 time: 0.9256 data_time: 0.0263 memory: 11089 grad_norm: 3.8916 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8587 loss: 1.8587 2022/08/02 00:48:42 - mmengine - INFO - Epoch(train) [24][780/1879] lr: 2.0000e-02 eta: 2 days, 12:36:19 time: 0.9256 data_time: 0.0269 memory: 11089 grad_norm: 3.9011 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0313 loss: 2.0313 2022/08/02 00:48:44 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 00:49:00 - mmengine - INFO - Epoch(train) [24][800/1879] lr: 2.0000e-02 eta: 2 days, 12:36:00 time: 0.9139 data_time: 0.0355 memory: 11089 grad_norm: 3.8957 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9973 loss: 1.9973 2022/08/02 00:49:18 - mmengine - INFO - Epoch(train) [24][820/1879] lr: 2.0000e-02 eta: 2 days, 12:35:39 time: 0.8898 data_time: 0.0274 memory: 11089 grad_norm: 3.8205 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1997 loss: 2.1997 2022/08/02 00:49:36 - mmengine - INFO - Epoch(train) [24][840/1879] lr: 2.0000e-02 eta: 2 days, 12:35:21 time: 0.9225 data_time: 0.0317 memory: 11089 grad_norm: 3.7760 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2019 loss: 2.2019 2022/08/02 00:49:55 - mmengine - INFO - Epoch(train) [24][860/1879] lr: 2.0000e-02 eta: 2 days, 12:35:05 time: 0.9333 data_time: 0.0320 memory: 11089 grad_norm: 3.7847 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0622 loss: 2.0622 2022/08/02 00:50:13 - mmengine - INFO - Epoch(train) [24][880/1879] lr: 2.0000e-02 eta: 2 days, 12:34:48 time: 0.9310 data_time: 0.0317 memory: 11089 grad_norm: 3.8531 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1673 loss: 2.1673 2022/08/02 00:50:32 - mmengine - INFO - Epoch(train) [24][900/1879] lr: 2.0000e-02 eta: 2 days, 12:34:29 time: 0.9106 data_time: 0.0223 memory: 11089 grad_norm: 3.7947 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0287 loss: 2.0287 2022/08/02 00:50:50 - mmengine - INFO - Epoch(train) [24][920/1879] lr: 2.0000e-02 eta: 2 days, 12:34:12 time: 0.9306 data_time: 0.0265 memory: 11089 grad_norm: 4.0131 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0275 loss: 2.0275 2022/08/02 00:51:08 - mmengine - INFO - Epoch(train) [24][940/1879] lr: 2.0000e-02 eta: 2 days, 12:33:53 time: 0.9129 data_time: 0.0243 memory: 11089 grad_norm: 3.8802 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9616 loss: 1.9616 2022/08/02 00:51:27 - mmengine - INFO - Epoch(train) [24][960/1879] lr: 2.0000e-02 eta: 2 days, 12:33:33 time: 0.9036 data_time: 0.0274 memory: 11089 grad_norm: 3.8448 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.0291 loss: 2.0291 2022/08/02 00:51:45 - mmengine - INFO - Epoch(train) [24][980/1879] lr: 2.0000e-02 eta: 2 days, 12:33:14 time: 0.9088 data_time: 0.0306 memory: 11089 grad_norm: 3.7842 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8749 loss: 1.8749 2022/08/02 00:52:04 - mmengine - INFO - Epoch(train) [24][1000/1879] lr: 2.0000e-02 eta: 2 days, 12:32:58 time: 0.9406 data_time: 0.0349 memory: 11089 grad_norm: 3.8650 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9600 loss: 1.9600 2022/08/02 00:52:22 - mmengine - INFO - Epoch(train) [24][1020/1879] lr: 2.0000e-02 eta: 2 days, 12:32:42 time: 0.9406 data_time: 0.0265 memory: 11089 grad_norm: 3.8497 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1786 loss: 2.1786 2022/08/02 00:52:41 - mmengine - INFO - Epoch(train) [24][1040/1879] lr: 2.0000e-02 eta: 2 days, 12:32:26 time: 0.9356 data_time: 0.0298 memory: 11089 grad_norm: 3.8848 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2002 loss: 2.2002 2022/08/02 00:53:00 - mmengine - INFO - Epoch(train) [24][1060/1879] lr: 2.0000e-02 eta: 2 days, 12:32:10 time: 0.9364 data_time: 0.0289 memory: 11089 grad_norm: 3.7973 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9774 loss: 1.9774 2022/08/02 00:53:18 - mmengine - INFO - Epoch(train) [24][1080/1879] lr: 2.0000e-02 eta: 2 days, 12:31:52 time: 0.9237 data_time: 0.0292 memory: 11089 grad_norm: 3.9273 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0848 loss: 2.0848 2022/08/02 00:53:37 - mmengine - INFO - Epoch(train) [24][1100/1879] lr: 2.0000e-02 eta: 2 days, 12:31:34 time: 0.9195 data_time: 0.0346 memory: 11089 grad_norm: 3.8359 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0277 loss: 2.0277 2022/08/02 00:53:55 - mmengine - INFO - Epoch(train) [24][1120/1879] lr: 2.0000e-02 eta: 2 days, 12:31:16 time: 0.9215 data_time: 0.0305 memory: 11089 grad_norm: 3.8828 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1724 loss: 2.1724 2022/08/02 00:54:14 - mmengine - INFO - Epoch(train) [24][1140/1879] lr: 2.0000e-02 eta: 2 days, 12:31:00 time: 0.9417 data_time: 0.0277 memory: 11089 grad_norm: 3.7566 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0630 loss: 2.0630 2022/08/02 00:54:32 - mmengine - INFO - Epoch(train) [24][1160/1879] lr: 2.0000e-02 eta: 2 days, 12:30:43 time: 0.9285 data_time: 0.0276 memory: 11089 grad_norm: 3.8481 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0517 loss: 2.0517 2022/08/02 00:54:51 - mmengine - INFO - Epoch(train) [24][1180/1879] lr: 2.0000e-02 eta: 2 days, 12:30:26 time: 0.9273 data_time: 0.0309 memory: 11089 grad_norm: 3.6888 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9827 loss: 1.9827 2022/08/02 00:55:09 - mmengine - INFO - Epoch(train) [24][1200/1879] lr: 2.0000e-02 eta: 2 days, 12:30:08 time: 0.9207 data_time: 0.0328 memory: 11089 grad_norm: 3.7252 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.0394 loss: 2.0394 2022/08/02 00:55:28 - mmengine - INFO - Epoch(train) [24][1220/1879] lr: 2.0000e-02 eta: 2 days, 12:29:52 time: 0.9387 data_time: 0.0304 memory: 11089 grad_norm: 3.7513 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0205 loss: 2.0205 2022/08/02 00:55:47 - mmengine - INFO - Epoch(train) [24][1240/1879] lr: 2.0000e-02 eta: 2 days, 12:29:34 time: 0.9255 data_time: 0.0240 memory: 11089 grad_norm: 3.8427 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0682 loss: 2.0682 2022/08/02 00:56:06 - mmengine - INFO - Epoch(train) [24][1260/1879] lr: 2.0000e-02 eta: 2 days, 12:29:20 time: 0.9576 data_time: 0.0351 memory: 11089 grad_norm: 3.8218 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1267 loss: 2.1267 2022/08/02 00:56:24 - mmengine - INFO - Epoch(train) [24][1280/1879] lr: 2.0000e-02 eta: 2 days, 12:29:00 time: 0.9030 data_time: 0.0257 memory: 11089 grad_norm: 3.8415 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1957 loss: 2.1957 2022/08/02 00:56:42 - mmengine - INFO - Epoch(train) [24][1300/1879] lr: 2.0000e-02 eta: 2 days, 12:28:43 time: 0.9277 data_time: 0.0328 memory: 11089 grad_norm: 3.8398 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0807 loss: 2.0807 2022/08/02 00:57:01 - mmengine - INFO - Epoch(train) [24][1320/1879] lr: 2.0000e-02 eta: 2 days, 12:28:25 time: 0.9220 data_time: 0.0270 memory: 11089 grad_norm: 3.7568 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8634 loss: 1.8634 2022/08/02 00:57:19 - mmengine - INFO - Epoch(train) [24][1340/1879] lr: 2.0000e-02 eta: 2 days, 12:28:08 time: 0.9263 data_time: 0.0299 memory: 11089 grad_norm: 3.8644 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0259 loss: 2.0259 2022/08/02 00:57:38 - mmengine - INFO - Epoch(train) [24][1360/1879] lr: 2.0000e-02 eta: 2 days, 12:27:50 time: 0.9179 data_time: 0.0301 memory: 11089 grad_norm: 3.7350 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7560 loss: 1.7560 2022/08/02 00:57:56 - mmengine - INFO - Epoch(train) [24][1380/1879] lr: 2.0000e-02 eta: 2 days, 12:27:32 time: 0.9213 data_time: 0.0310 memory: 11089 grad_norm: 3.8087 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1483 loss: 2.1483 2022/08/02 00:58:14 - mmengine - INFO - Epoch(train) [24][1400/1879] lr: 2.0000e-02 eta: 2 days, 12:27:12 time: 0.9022 data_time: 0.0273 memory: 11089 grad_norm: 3.8529 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2304 loss: 2.2304 2022/08/02 00:58:33 - mmengine - INFO - Epoch(train) [24][1420/1879] lr: 2.0000e-02 eta: 2 days, 12:26:53 time: 0.9130 data_time: 0.0269 memory: 11089 grad_norm: 3.8625 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9564 loss: 1.9564 2022/08/02 00:58:51 - mmengine - INFO - Epoch(train) [24][1440/1879] lr: 2.0000e-02 eta: 2 days, 12:26:34 time: 0.9146 data_time: 0.0270 memory: 11089 grad_norm: 3.7945 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8435 loss: 1.8435 2022/08/02 00:59:09 - mmengine - INFO - Epoch(train) [24][1460/1879] lr: 2.0000e-02 eta: 2 days, 12:26:14 time: 0.9032 data_time: 0.0288 memory: 11089 grad_norm: 3.7953 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9583 loss: 1.9583 2022/08/02 00:59:28 - mmengine - INFO - Epoch(train) [24][1480/1879] lr: 2.0000e-02 eta: 2 days, 12:25:57 time: 0.9314 data_time: 0.0285 memory: 11089 grad_norm: 3.8543 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9292 loss: 1.9292 2022/08/02 00:59:46 - mmengine - INFO - Epoch(train) [24][1500/1879] lr: 2.0000e-02 eta: 2 days, 12:25:39 time: 0.9199 data_time: 0.0339 memory: 11089 grad_norm: 3.7777 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0324 loss: 2.0324 2022/08/02 01:00:05 - mmengine - INFO - Epoch(train) [24][1520/1879] lr: 2.0000e-02 eta: 2 days, 12:25:23 time: 0.9376 data_time: 0.0282 memory: 11089 grad_norm: 3.8679 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0417 loss: 2.0417 2022/08/02 01:00:23 - mmengine - INFO - Epoch(train) [24][1540/1879] lr: 2.0000e-02 eta: 2 days, 12:25:03 time: 0.9047 data_time: 0.0329 memory: 11089 grad_norm: 3.7672 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9420 loss: 1.9420 2022/08/02 01:00:41 - mmengine - INFO - Epoch(train) [24][1560/1879] lr: 2.0000e-02 eta: 2 days, 12:24:44 time: 0.9081 data_time: 0.0300 memory: 11089 grad_norm: 3.8152 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.9921 loss: 1.9921 2022/08/02 01:01:00 - mmengine - INFO - Epoch(train) [24][1580/1879] lr: 2.0000e-02 eta: 2 days, 12:24:28 time: 0.9391 data_time: 0.0307 memory: 11089 grad_norm: 3.8208 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9601 loss: 1.9601 2022/08/02 01:01:18 - mmengine - INFO - Epoch(train) [24][1600/1879] lr: 2.0000e-02 eta: 2 days, 12:24:11 time: 0.9252 data_time: 0.0285 memory: 11089 grad_norm: 3.8248 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9162 loss: 1.9162 2022/08/02 01:01:37 - mmengine - INFO - Epoch(train) [24][1620/1879] lr: 2.0000e-02 eta: 2 days, 12:23:56 time: 0.9519 data_time: 0.0289 memory: 11089 grad_norm: 3.8987 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9502 loss: 1.9502 2022/08/02 01:01:55 - mmengine - INFO - Epoch(train) [24][1640/1879] lr: 2.0000e-02 eta: 2 days, 12:23:36 time: 0.9014 data_time: 0.0271 memory: 11089 grad_norm: 3.8190 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8683 loss: 1.8683 2022/08/02 01:02:14 - mmengine - INFO - Epoch(train) [24][1660/1879] lr: 2.0000e-02 eta: 2 days, 12:23:18 time: 0.9259 data_time: 0.0259 memory: 11089 grad_norm: 3.8489 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0843 loss: 2.0843 2022/08/02 01:02:33 - mmengine - INFO - Epoch(train) [24][1680/1879] lr: 2.0000e-02 eta: 2 days, 12:23:02 time: 0.9399 data_time: 0.0352 memory: 11089 grad_norm: 3.9633 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8654 loss: 1.8654 2022/08/02 01:02:52 - mmengine - INFO - Epoch(train) [24][1700/1879] lr: 2.0000e-02 eta: 2 days, 12:22:48 time: 0.9528 data_time: 0.0312 memory: 11089 grad_norm: 3.8525 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9899 loss: 1.9899 2022/08/02 01:03:10 - mmengine - INFO - Epoch(train) [24][1720/1879] lr: 2.0000e-02 eta: 2 days, 12:22:28 time: 0.9061 data_time: 0.0273 memory: 11089 grad_norm: 3.9519 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9603 loss: 1.9603 2022/08/02 01:03:28 - mmengine - INFO - Epoch(train) [24][1740/1879] lr: 2.0000e-02 eta: 2 days, 12:22:07 time: 0.8885 data_time: 0.0247 memory: 11089 grad_norm: 3.8718 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9695 loss: 1.9695 2022/08/02 01:03:47 - mmengine - INFO - Epoch(train) [24][1760/1879] lr: 2.0000e-02 eta: 2 days, 12:21:52 time: 0.9467 data_time: 0.0311 memory: 11089 grad_norm: 3.9310 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9504 loss: 1.9504 2022/08/02 01:04:05 - mmengine - INFO - Epoch(train) [24][1780/1879] lr: 2.0000e-02 eta: 2 days, 12:21:35 time: 0.9332 data_time: 0.0277 memory: 11089 grad_norm: 3.8580 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9408 loss: 1.9408 2022/08/02 01:04:08 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 01:04:24 - mmengine - INFO - Epoch(train) [24][1800/1879] lr: 2.0000e-02 eta: 2 days, 12:21:18 time: 0.9270 data_time: 0.0302 memory: 11089 grad_norm: 3.8800 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0643 loss: 2.0643 2022/08/02 01:04:41 - mmengine - INFO - Epoch(train) [24][1820/1879] lr: 2.0000e-02 eta: 2 days, 12:20:56 time: 0.8866 data_time: 0.0254 memory: 11089 grad_norm: 3.8484 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8329 loss: 1.8329 2022/08/02 01:04:59 - mmengine - INFO - Epoch(train) [24][1840/1879] lr: 2.0000e-02 eta: 2 days, 12:20:36 time: 0.9015 data_time: 0.0265 memory: 11089 grad_norm: 3.9631 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0244 loss: 2.0244 2022/08/02 01:05:18 - mmengine - INFO - Epoch(train) [24][1860/1879] lr: 2.0000e-02 eta: 2 days, 12:20:17 time: 0.9124 data_time: 0.0280 memory: 11089 grad_norm: 3.8859 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9454 loss: 1.9454 2022/08/02 01:05:35 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 01:05:35 - mmengine - INFO - Epoch(train) [24][1879/1879] lr: 2.0000e-02 eta: 2 days, 12:20:17 time: 0.8905 data_time: 0.0328 memory: 11089 grad_norm: 3.8611 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.9829 loss: 1.9829 2022/08/02 01:05:35 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/08/02 01:05:58 - mmengine - INFO - Epoch(train) [25][20/1879] lr: 2.0000e-02 eta: 2 days, 12:18:20 time: 1.0126 data_time: 0.1173 memory: 11089 grad_norm: 3.7305 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0286 loss: 2.0286 2022/08/02 01:06:16 - mmengine - INFO - Epoch(train) [25][40/1879] lr: 2.0000e-02 eta: 2 days, 12:18:03 time: 0.9271 data_time: 0.0330 memory: 11089 grad_norm: 3.8873 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1249 loss: 2.1249 2022/08/02 01:06:35 - mmengine - INFO - Epoch(train) [25][60/1879] lr: 2.0000e-02 eta: 2 days, 12:17:47 time: 0.9401 data_time: 0.0336 memory: 11089 grad_norm: 3.8405 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8466 loss: 1.8466 2022/08/02 01:06:53 - mmengine - INFO - Epoch(train) [25][80/1879] lr: 2.0000e-02 eta: 2 days, 12:17:28 time: 0.9191 data_time: 0.0330 memory: 11089 grad_norm: 3.8407 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9778 loss: 1.9778 2022/08/02 01:07:12 - mmengine - INFO - Epoch(train) [25][100/1879] lr: 2.0000e-02 eta: 2 days, 12:17:10 time: 0.9162 data_time: 0.0354 memory: 11089 grad_norm: 3.9056 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.1259 loss: 2.1259 2022/08/02 01:07:30 - mmengine - INFO - Epoch(train) [25][120/1879] lr: 2.0000e-02 eta: 2 days, 12:16:51 time: 0.9088 data_time: 0.0235 memory: 11089 grad_norm: 3.8930 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0224 loss: 2.0224 2022/08/02 01:07:48 - mmengine - INFO - Epoch(train) [25][140/1879] lr: 2.0000e-02 eta: 2 days, 12:16:31 time: 0.9059 data_time: 0.0270 memory: 11089 grad_norm: 3.7974 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9551 loss: 1.9551 2022/08/02 01:08:07 - mmengine - INFO - Epoch(train) [25][160/1879] lr: 2.0000e-02 eta: 2 days, 12:16:15 time: 0.9375 data_time: 0.0255 memory: 11089 grad_norm: 3.7184 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0329 loss: 2.0329 2022/08/02 01:08:25 - mmengine - INFO - Epoch(train) [25][180/1879] lr: 2.0000e-02 eta: 2 days, 12:15:58 time: 0.9278 data_time: 0.0274 memory: 11089 grad_norm: 3.8187 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8691 loss: 1.8691 2022/08/02 01:08:44 - mmengine - INFO - Epoch(train) [25][200/1879] lr: 2.0000e-02 eta: 2 days, 12:15:40 time: 0.9198 data_time: 0.0358 memory: 11089 grad_norm: 3.8710 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.1213 loss: 2.1213 2022/08/02 01:09:01 - mmengine - INFO - Epoch(train) [25][220/1879] lr: 2.0000e-02 eta: 2 days, 12:15:17 time: 0.8746 data_time: 0.0216 memory: 11089 grad_norm: 3.7851 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9125 loss: 1.9125 2022/08/02 01:09:19 - mmengine - INFO - Epoch(train) [25][240/1879] lr: 2.0000e-02 eta: 2 days, 12:14:58 time: 0.9088 data_time: 0.0261 memory: 11089 grad_norm: 3.8925 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1047 loss: 2.1047 2022/08/02 01:09:37 - mmengine - INFO - Epoch(train) [25][260/1879] lr: 2.0000e-02 eta: 2 days, 12:14:39 time: 0.9084 data_time: 0.0252 memory: 11089 grad_norm: 3.8655 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0550 loss: 2.0550 2022/08/02 01:09:56 - mmengine - INFO - Epoch(train) [25][280/1879] lr: 2.0000e-02 eta: 2 days, 12:14:19 time: 0.9066 data_time: 0.0277 memory: 11089 grad_norm: 3.9475 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0019 loss: 2.0019 2022/08/02 01:10:14 - mmengine - INFO - Epoch(train) [25][300/1879] lr: 2.0000e-02 eta: 2 days, 12:14:01 time: 0.9150 data_time: 0.0264 memory: 11089 grad_norm: 3.8366 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0856 loss: 2.0856 2022/08/02 01:10:33 - mmengine - INFO - Epoch(train) [25][320/1879] lr: 2.0000e-02 eta: 2 days, 12:13:45 time: 0.9454 data_time: 0.0360 memory: 11089 grad_norm: 3.9096 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0199 loss: 2.0199 2022/08/02 01:10:51 - mmengine - INFO - Epoch(train) [25][340/1879] lr: 2.0000e-02 eta: 2 days, 12:13:27 time: 0.9188 data_time: 0.0282 memory: 11089 grad_norm: 3.8039 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1147 loss: 2.1147 2022/08/02 01:11:09 - mmengine - INFO - Epoch(train) [25][360/1879] lr: 2.0000e-02 eta: 2 days, 12:13:09 time: 0.9167 data_time: 0.0353 memory: 11089 grad_norm: 3.7969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0397 loss: 2.0397 2022/08/02 01:11:28 - mmengine - INFO - Epoch(train) [25][380/1879] lr: 2.0000e-02 eta: 2 days, 12:12:50 time: 0.9183 data_time: 0.0287 memory: 11089 grad_norm: 3.8331 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9719 loss: 1.9719 2022/08/02 01:11:46 - mmengine - INFO - Epoch(train) [25][400/1879] lr: 2.0000e-02 eta: 2 days, 12:12:33 time: 0.9262 data_time: 0.0281 memory: 11089 grad_norm: 3.7149 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9680 loss: 1.9680 2022/08/02 01:12:05 - mmengine - INFO - Epoch(train) [25][420/1879] lr: 2.0000e-02 eta: 2 days, 12:12:17 time: 0.9387 data_time: 0.0305 memory: 11089 grad_norm: 3.7633 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8248 loss: 1.8248 2022/08/02 01:12:23 - mmengine - INFO - Epoch(train) [25][440/1879] lr: 2.0000e-02 eta: 2 days, 12:11:58 time: 0.9069 data_time: 0.0222 memory: 11089 grad_norm: 3.7499 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.0109 loss: 2.0109 2022/08/02 01:12:42 - mmengine - INFO - Epoch(train) [25][460/1879] lr: 2.0000e-02 eta: 2 days, 12:11:40 time: 0.9275 data_time: 0.0266 memory: 11089 grad_norm: 3.7494 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0661 loss: 2.0661 2022/08/02 01:13:00 - mmengine - INFO - Epoch(train) [25][480/1879] lr: 2.0000e-02 eta: 2 days, 12:11:22 time: 0.9183 data_time: 0.0414 memory: 11089 grad_norm: 3.8264 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0412 loss: 2.0412 2022/08/02 01:13:18 - mmengine - INFO - Epoch(train) [25][500/1879] lr: 2.0000e-02 eta: 2 days, 12:11:02 time: 0.9006 data_time: 0.0262 memory: 11089 grad_norm: 3.8883 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9504 loss: 1.9504 2022/08/02 01:13:37 - mmengine - INFO - Epoch(train) [25][520/1879] lr: 2.0000e-02 eta: 2 days, 12:10:44 time: 0.9223 data_time: 0.0357 memory: 11089 grad_norm: 3.7359 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8980 loss: 1.8980 2022/08/02 01:13:55 - mmengine - INFO - Epoch(train) [25][540/1879] lr: 2.0000e-02 eta: 2 days, 12:10:26 time: 0.9155 data_time: 0.0310 memory: 11089 grad_norm: 3.8418 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0064 loss: 2.0064 2022/08/02 01:14:13 - mmengine - INFO - Epoch(train) [25][560/1879] lr: 2.0000e-02 eta: 2 days, 12:10:07 time: 0.9091 data_time: 0.0281 memory: 11089 grad_norm: 3.8592 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9399 loss: 1.9399 2022/08/02 01:14:32 - mmengine - INFO - Epoch(train) [25][580/1879] lr: 2.0000e-02 eta: 2 days, 12:09:50 time: 0.9310 data_time: 0.0274 memory: 11089 grad_norm: 3.8946 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2754 loss: 2.2754 2022/08/02 01:14:50 - mmengine - INFO - Epoch(train) [25][600/1879] lr: 2.0000e-02 eta: 2 days, 12:09:32 time: 0.9227 data_time: 0.0311 memory: 11089 grad_norm: 3.9608 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8641 loss: 1.8641 2022/08/02 01:15:09 - mmengine - INFO - Epoch(train) [25][620/1879] lr: 2.0000e-02 eta: 2 days, 12:09:14 time: 0.9234 data_time: 0.0341 memory: 11089 grad_norm: 3.8212 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0846 loss: 2.0846 2022/08/02 01:15:27 - mmengine - INFO - Epoch(train) [25][640/1879] lr: 2.0000e-02 eta: 2 days, 12:08:56 time: 0.9153 data_time: 0.0239 memory: 11089 grad_norm: 3.8070 top1_acc: 0.3125 top5_acc: 0.3125 loss_cls: 2.2192 loss: 2.2192 2022/08/02 01:15:45 - mmengine - INFO - Epoch(train) [25][660/1879] lr: 2.0000e-02 eta: 2 days, 12:08:36 time: 0.9010 data_time: 0.0282 memory: 11089 grad_norm: 3.8533 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0274 loss: 2.0274 2022/08/02 01:16:03 - mmengine - INFO - Epoch(train) [25][680/1879] lr: 2.0000e-02 eta: 2 days, 12:08:18 time: 0.9217 data_time: 0.0260 memory: 11089 grad_norm: 3.8325 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1028 loss: 2.1028 2022/08/02 01:16:22 - mmengine - INFO - Epoch(train) [25][700/1879] lr: 2.0000e-02 eta: 2 days, 12:08:00 time: 0.9191 data_time: 0.0295 memory: 11089 grad_norm: 3.7857 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9779 loss: 1.9779 2022/08/02 01:16:40 - mmengine - INFO - Epoch(train) [25][720/1879] lr: 2.0000e-02 eta: 2 days, 12:07:41 time: 0.9115 data_time: 0.0264 memory: 11089 grad_norm: 3.8640 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9029 loss: 1.9029 2022/08/02 01:16:58 - mmengine - INFO - Epoch(train) [25][740/1879] lr: 2.0000e-02 eta: 2 days, 12:07:20 time: 0.8975 data_time: 0.0221 memory: 11089 grad_norm: 3.8464 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8807 loss: 1.8807 2022/08/02 01:17:17 - mmengine - INFO - Epoch(train) [25][760/1879] lr: 2.0000e-02 eta: 2 days, 12:07:03 time: 0.9300 data_time: 0.0294 memory: 11089 grad_norm: 3.7457 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0661 loss: 2.0661 2022/08/02 01:17:35 - mmengine - INFO - Epoch(train) [25][780/1879] lr: 2.0000e-02 eta: 2 days, 12:06:47 time: 0.9327 data_time: 0.0422 memory: 11089 grad_norm: 3.8191 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9828 loss: 1.9828 2022/08/02 01:17:53 - mmengine - INFO - Epoch(train) [25][800/1879] lr: 2.0000e-02 eta: 2 days, 12:06:25 time: 0.8865 data_time: 0.0269 memory: 11089 grad_norm: 3.8509 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9521 loss: 1.9521 2022/08/02 01:18:12 - mmengine - INFO - Epoch(train) [25][820/1879] lr: 2.0000e-02 eta: 2 days, 12:06:09 time: 0.9345 data_time: 0.0324 memory: 11089 grad_norm: 3.8746 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0099 loss: 2.0099 2022/08/02 01:18:30 - mmengine - INFO - Epoch(train) [25][840/1879] lr: 2.0000e-02 eta: 2 days, 12:05:48 time: 0.8941 data_time: 0.0241 memory: 11089 grad_norm: 3.8615 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2271 loss: 2.2271 2022/08/02 01:18:49 - mmengine - INFO - Epoch(train) [25][860/1879] lr: 2.0000e-02 eta: 2 days, 12:05:33 time: 0.9520 data_time: 0.0333 memory: 11089 grad_norm: 3.7529 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1778 loss: 2.1778 2022/08/02 01:19:07 - mmengine - INFO - Epoch(train) [25][880/1879] lr: 2.0000e-02 eta: 2 days, 12:05:14 time: 0.9085 data_time: 0.0247 memory: 11089 grad_norm: 3.8466 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1017 loss: 2.1017 2022/08/02 01:19:26 - mmengine - INFO - Epoch(train) [25][900/1879] lr: 2.0000e-02 eta: 2 days, 12:04:58 time: 0.9388 data_time: 0.0358 memory: 11089 grad_norm: 3.7994 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9636 loss: 1.9636 2022/08/02 01:19:29 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 01:19:44 - mmengine - INFO - Epoch(train) [25][920/1879] lr: 2.0000e-02 eta: 2 days, 12:04:41 time: 0.9330 data_time: 0.0246 memory: 11089 grad_norm: 3.8246 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1385 loss: 2.1385 2022/08/02 01:20:03 - mmengine - INFO - Epoch(train) [25][940/1879] lr: 2.0000e-02 eta: 2 days, 12:04:27 time: 0.9610 data_time: 0.0296 memory: 11089 grad_norm: 3.9448 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9957 loss: 1.9957 2022/08/02 01:20:22 - mmengine - INFO - Epoch(train) [25][960/1879] lr: 2.0000e-02 eta: 2 days, 12:04:12 time: 0.9449 data_time: 0.0336 memory: 11089 grad_norm: 3.8458 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9574 loss: 1.9574 2022/08/02 01:20:41 - mmengine - INFO - Epoch(train) [25][980/1879] lr: 2.0000e-02 eta: 2 days, 12:03:53 time: 0.9137 data_time: 0.0316 memory: 11089 grad_norm: 3.8351 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9398 loss: 1.9398 2022/08/02 01:20:59 - mmengine - INFO - Epoch(train) [25][1000/1879] lr: 2.0000e-02 eta: 2 days, 12:03:36 time: 0.9322 data_time: 0.0358 memory: 11089 grad_norm: 3.7461 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0501 loss: 2.0501 2022/08/02 01:21:18 - mmengine - INFO - Epoch(train) [25][1020/1879] lr: 2.0000e-02 eta: 2 days, 12:03:21 time: 0.9422 data_time: 0.0373 memory: 11089 grad_norm: 3.9466 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9170 loss: 1.9170 2022/08/02 01:21:36 - mmengine - INFO - Epoch(train) [25][1040/1879] lr: 2.0000e-02 eta: 2 days, 12:03:02 time: 0.9179 data_time: 0.0244 memory: 11089 grad_norm: 3.9490 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1749 loss: 2.1749 2022/08/02 01:21:56 - mmengine - INFO - Epoch(train) [25][1060/1879] lr: 2.0000e-02 eta: 2 days, 12:02:49 time: 0.9627 data_time: 0.0375 memory: 11089 grad_norm: 3.9172 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8623 loss: 1.8623 2022/08/02 01:22:14 - mmengine - INFO - Epoch(train) [25][1080/1879] lr: 2.0000e-02 eta: 2 days, 12:02:29 time: 0.9029 data_time: 0.0277 memory: 11089 grad_norm: 3.8699 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.2005 loss: 2.2005 2022/08/02 01:22:32 - mmengine - INFO - Epoch(train) [25][1100/1879] lr: 2.0000e-02 eta: 2 days, 12:02:10 time: 0.9111 data_time: 0.0308 memory: 11089 grad_norm: 3.7985 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8987 loss: 1.8987 2022/08/02 01:22:50 - mmengine - INFO - Epoch(train) [25][1120/1879] lr: 2.0000e-02 eta: 2 days, 12:01:51 time: 0.9164 data_time: 0.0283 memory: 11089 grad_norm: 3.8161 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2533 loss: 2.2533 2022/08/02 01:23:10 - mmengine - INFO - Epoch(train) [25][1140/1879] lr: 2.0000e-02 eta: 2 days, 12:01:38 time: 0.9624 data_time: 0.0348 memory: 11089 grad_norm: 3.8464 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9256 loss: 1.9256 2022/08/02 01:23:28 - mmengine - INFO - Epoch(train) [25][1160/1879] lr: 2.0000e-02 eta: 2 days, 12:01:21 time: 0.9387 data_time: 0.0363 memory: 11089 grad_norm: 3.8258 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1688 loss: 2.1688 2022/08/02 01:23:47 - mmengine - INFO - Epoch(train) [25][1180/1879] lr: 2.0000e-02 eta: 2 days, 12:01:04 time: 0.9280 data_time: 0.0261 memory: 11089 grad_norm: 3.8623 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0179 loss: 2.0179 2022/08/02 01:24:05 - mmengine - INFO - Epoch(train) [25][1200/1879] lr: 2.0000e-02 eta: 2 days, 12:00:46 time: 0.9156 data_time: 0.0259 memory: 11089 grad_norm: 3.8798 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0027 loss: 2.0027 2022/08/02 01:24:24 - mmengine - INFO - Epoch(train) [25][1220/1879] lr: 2.0000e-02 eta: 2 days, 12:00:30 time: 0.9448 data_time: 0.0256 memory: 11089 grad_norm: 3.7655 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9349 loss: 1.9349 2022/08/02 01:24:42 - mmengine - INFO - Epoch(train) [25][1240/1879] lr: 2.0000e-02 eta: 2 days, 12:00:11 time: 0.9052 data_time: 0.0297 memory: 11089 grad_norm: 3.8139 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9874 loss: 1.9874 2022/08/02 01:25:00 - mmengine - INFO - Epoch(train) [25][1260/1879] lr: 2.0000e-02 eta: 2 days, 11:59:51 time: 0.9033 data_time: 0.0284 memory: 11089 grad_norm: 3.7514 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0781 loss: 2.0781 2022/08/02 01:25:19 - mmengine - INFO - Epoch(train) [25][1280/1879] lr: 2.0000e-02 eta: 2 days, 11:59:34 time: 0.9269 data_time: 0.0309 memory: 11089 grad_norm: 3.8208 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0274 loss: 2.0274 2022/08/02 01:25:37 - mmengine - INFO - Epoch(train) [25][1300/1879] lr: 2.0000e-02 eta: 2 days, 11:59:16 time: 0.9281 data_time: 0.0394 memory: 11089 grad_norm: 3.7832 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8544 loss: 1.8544 2022/08/02 01:25:56 - mmengine - INFO - Epoch(train) [25][1320/1879] lr: 2.0000e-02 eta: 2 days, 11:58:58 time: 0.9206 data_time: 0.0326 memory: 11089 grad_norm: 3.8258 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2295 loss: 2.2295 2022/08/02 01:26:14 - mmengine - INFO - Epoch(train) [25][1340/1879] lr: 2.0000e-02 eta: 2 days, 11:58:40 time: 0.9178 data_time: 0.0274 memory: 11089 grad_norm: 3.9240 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9166 loss: 1.9166 2022/08/02 01:26:33 - mmengine - INFO - Epoch(train) [25][1360/1879] lr: 2.0000e-02 eta: 2 days, 11:58:22 time: 0.9221 data_time: 0.0333 memory: 11089 grad_norm: 3.7929 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0548 loss: 2.0548 2022/08/02 01:26:51 - mmengine - INFO - Epoch(train) [25][1380/1879] lr: 2.0000e-02 eta: 2 days, 11:58:04 time: 0.9164 data_time: 0.0383 memory: 11089 grad_norm: 3.7921 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9246 loss: 1.9246 2022/08/02 01:27:09 - mmengine - INFO - Epoch(train) [25][1400/1879] lr: 2.0000e-02 eta: 2 days, 11:57:46 time: 0.9257 data_time: 0.0284 memory: 11089 grad_norm: 3.7729 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9530 loss: 1.9530 2022/08/02 01:27:28 - mmengine - INFO - Epoch(train) [25][1420/1879] lr: 2.0000e-02 eta: 2 days, 11:57:28 time: 0.9186 data_time: 0.0255 memory: 11089 grad_norm: 3.7288 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.3114 loss: 2.3114 2022/08/02 01:27:46 - mmengine - INFO - Epoch(train) [25][1440/1879] lr: 2.0000e-02 eta: 2 days, 11:57:11 time: 0.9326 data_time: 0.0291 memory: 11089 grad_norm: 3.9138 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2185 loss: 2.2185 2022/08/02 01:28:05 - mmengine - INFO - Epoch(train) [25][1460/1879] lr: 2.0000e-02 eta: 2 days, 11:56:56 time: 0.9450 data_time: 0.0346 memory: 11089 grad_norm: 3.7798 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1425 loss: 2.1425 2022/08/02 01:28:24 - mmengine - INFO - Epoch(train) [25][1480/1879] lr: 2.0000e-02 eta: 2 days, 11:56:41 time: 0.9517 data_time: 0.0351 memory: 11089 grad_norm: 3.8427 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0149 loss: 2.0149 2022/08/02 01:28:43 - mmengine - INFO - Epoch(train) [25][1500/1879] lr: 2.0000e-02 eta: 2 days, 11:56:22 time: 0.9138 data_time: 0.0377 memory: 11089 grad_norm: 3.7592 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2769 loss: 2.2769 2022/08/02 01:29:01 - mmengine - INFO - Epoch(train) [25][1520/1879] lr: 2.0000e-02 eta: 2 days, 11:56:02 time: 0.8975 data_time: 0.0329 memory: 11089 grad_norm: 3.8219 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1257 loss: 2.1257 2022/08/02 01:29:19 - mmengine - INFO - Epoch(train) [25][1540/1879] lr: 2.0000e-02 eta: 2 days, 11:55:44 time: 0.9242 data_time: 0.0342 memory: 11089 grad_norm: 3.7318 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0366 loss: 2.0366 2022/08/02 01:29:38 - mmengine - INFO - Epoch(train) [25][1560/1879] lr: 2.0000e-02 eta: 2 days, 11:55:28 time: 0.9373 data_time: 0.0326 memory: 11089 grad_norm: 3.8856 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0182 loss: 2.0182 2022/08/02 01:29:57 - mmengine - INFO - Epoch(train) [25][1580/1879] lr: 2.0000e-02 eta: 2 days, 11:55:11 time: 0.9357 data_time: 0.0314 memory: 11089 grad_norm: 3.7943 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8948 loss: 1.8948 2022/08/02 01:30:15 - mmengine - INFO - Epoch(train) [25][1600/1879] lr: 2.0000e-02 eta: 2 days, 11:54:53 time: 0.9173 data_time: 0.0314 memory: 11089 grad_norm: 3.7616 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8841 loss: 1.8841 2022/08/02 01:30:34 - mmengine - INFO - Epoch(train) [25][1620/1879] lr: 2.0000e-02 eta: 2 days, 11:54:37 time: 0.9434 data_time: 0.0347 memory: 11089 grad_norm: 3.9301 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1065 loss: 2.1065 2022/08/02 01:30:53 - mmengine - INFO - Epoch(train) [25][1640/1879] lr: 2.0000e-02 eta: 2 days, 11:54:21 time: 0.9417 data_time: 0.0314 memory: 11089 grad_norm: 3.8344 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9798 loss: 1.9798 2022/08/02 01:31:12 - mmengine - INFO - Epoch(train) [25][1660/1879] lr: 2.0000e-02 eta: 2 days, 11:54:06 time: 0.9437 data_time: 0.0362 memory: 11089 grad_norm: 3.7165 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1093 loss: 2.1093 2022/08/02 01:31:30 - mmengine - INFO - Epoch(train) [25][1680/1879] lr: 2.0000e-02 eta: 2 days, 11:53:47 time: 0.9109 data_time: 0.0310 memory: 11089 grad_norm: 3.8064 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0657 loss: 2.0657 2022/08/02 01:31:48 - mmengine - INFO - Epoch(train) [25][1700/1879] lr: 2.0000e-02 eta: 2 days, 11:53:30 time: 0.9324 data_time: 0.0355 memory: 11089 grad_norm: 3.8894 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2173 loss: 2.2173 2022/08/02 01:32:07 - mmengine - INFO - Epoch(train) [25][1720/1879] lr: 2.0000e-02 eta: 2 days, 11:53:11 time: 0.9134 data_time: 0.0324 memory: 11089 grad_norm: 3.8484 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8192 loss: 1.8192 2022/08/02 01:32:26 - mmengine - INFO - Epoch(train) [25][1740/1879] lr: 2.0000e-02 eta: 2 days, 11:52:57 time: 0.9626 data_time: 0.0355 memory: 11089 grad_norm: 3.7847 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.2074 loss: 2.2074 2022/08/02 01:32:44 - mmengine - INFO - Epoch(train) [25][1760/1879] lr: 2.0000e-02 eta: 2 days, 11:52:40 time: 0.9251 data_time: 0.0323 memory: 11089 grad_norm: 3.8041 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9376 loss: 1.9376 2022/08/02 01:33:03 - mmengine - INFO - Epoch(train) [25][1780/1879] lr: 2.0000e-02 eta: 2 days, 11:52:20 time: 0.9057 data_time: 0.0257 memory: 11089 grad_norm: 3.8477 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8664 loss: 1.8664 2022/08/02 01:33:21 - mmengine - INFO - Epoch(train) [25][1800/1879] lr: 2.0000e-02 eta: 2 days, 11:52:02 time: 0.9209 data_time: 0.0334 memory: 11089 grad_norm: 3.7059 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9426 loss: 1.9426 2022/08/02 01:33:40 - mmengine - INFO - Epoch(train) [25][1820/1879] lr: 2.0000e-02 eta: 2 days, 11:51:46 time: 0.9372 data_time: 0.0348 memory: 11089 grad_norm: 3.8835 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8630 loss: 1.8630 2022/08/02 01:33:58 - mmengine - INFO - Epoch(train) [25][1840/1879] lr: 2.0000e-02 eta: 2 days, 11:51:27 time: 0.9128 data_time: 0.0277 memory: 11089 grad_norm: 3.8437 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0028 loss: 2.0028 2022/08/02 01:34:16 - mmengine - INFO - Epoch(train) [25][1860/1879] lr: 2.0000e-02 eta: 2 days, 11:51:07 time: 0.9016 data_time: 0.0255 memory: 11089 grad_norm: 3.8813 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.1115 loss: 2.1115 2022/08/02 01:34:34 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 01:34:34 - mmengine - INFO - Epoch(train) [25][1879/1879] lr: 2.0000e-02 eta: 2 days, 11:51:07 time: 0.9266 data_time: 0.0245 memory: 11089 grad_norm: 3.9436 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.0998 loss: 2.0998 2022/08/02 01:34:43 - mmengine - INFO - Epoch(val) [25][20/155] eta: 0:00:59 time: 0.4442 data_time: 0.1321 memory: 1950 2022/08/02 01:34:49 - mmengine - INFO - Epoch(val) [25][40/155] eta: 0:00:37 time: 0.3269 data_time: 0.0104 memory: 1950 2022/08/02 01:34:56 - mmengine - INFO - Epoch(val) [25][60/155] eta: 0:00:32 time: 0.3409 data_time: 0.0141 memory: 1950 2022/08/02 01:35:03 - mmengine - INFO - Epoch(val) [25][80/155] eta: 0:00:24 time: 0.3290 data_time: 0.0125 memory: 1950 2022/08/02 01:35:09 - mmengine - INFO - Epoch(val) [25][100/155] eta: 0:00:17 time: 0.3142 data_time: 0.0134 memory: 1950 2022/08/02 01:35:15 - mmengine - INFO - Epoch(val) [25][120/155] eta: 0:00:11 time: 0.3316 data_time: 0.0120 memory: 1950 2022/08/02 01:35:23 - mmengine - INFO - Epoch(val) [25][140/155] eta: 0:00:05 time: 0.3769 data_time: 0.0111 memory: 1950 2022/08/02 01:35:30 - mmengine - INFO - Epoch(val) [25][155/155] acc/top1: 0.6073 acc/top5: 0.8320 acc/mean1: 0.6072 2022/08/02 01:35:30 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb/best_acc/top1_epoch_21.pth is removed 2022/08/02 01:35:32 - mmengine - INFO - The best checkpoint with 0.6073 acc/top1 at 26 epoch is saved to best_acc/top1_epoch_26.pth. 2022/08/02 01:35:52 - mmengine - INFO - Epoch(train) [26][20/1879] lr: 2.0000e-02 eta: 2 days, 11:49:13 time: 0.9995 data_time: 0.1221 memory: 11089 grad_norm: 3.7441 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9808 loss: 1.9808 2022/08/02 01:35:57 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 01:36:10 - mmengine - INFO - Epoch(train) [26][40/1879] lr: 2.0000e-02 eta: 2 days, 11:48:53 time: 0.9001 data_time: 0.0229 memory: 11089 grad_norm: 3.7937 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8888 loss: 1.8888 2022/08/02 01:36:28 - mmengine - INFO - Epoch(train) [26][60/1879] lr: 2.0000e-02 eta: 2 days, 11:48:34 time: 0.9140 data_time: 0.0293 memory: 11089 grad_norm: 3.9247 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1391 loss: 2.1391 2022/08/02 01:36:46 - mmengine - INFO - Epoch(train) [26][80/1879] lr: 2.0000e-02 eta: 2 days, 11:48:14 time: 0.9007 data_time: 0.0360 memory: 11089 grad_norm: 3.7508 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8039 loss: 1.8039 2022/08/02 01:37:04 - mmengine - INFO - Epoch(train) [26][100/1879] lr: 2.0000e-02 eta: 2 days, 11:47:55 time: 0.9140 data_time: 0.0269 memory: 11089 grad_norm: 3.8640 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9525 loss: 1.9525 2022/08/02 01:37:23 - mmengine - INFO - Epoch(train) [26][120/1879] lr: 2.0000e-02 eta: 2 days, 11:47:36 time: 0.9096 data_time: 0.0257 memory: 11089 grad_norm: 3.8643 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8431 loss: 1.8431 2022/08/02 01:37:41 - mmengine - INFO - Epoch(train) [26][140/1879] lr: 2.0000e-02 eta: 2 days, 11:47:19 time: 0.9292 data_time: 0.0275 memory: 11089 grad_norm: 3.8526 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9773 loss: 1.9773 2022/08/02 01:38:00 - mmengine - INFO - Epoch(train) [26][160/1879] lr: 2.0000e-02 eta: 2 days, 11:47:03 time: 0.9403 data_time: 0.0407 memory: 11089 grad_norm: 3.8023 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0223 loss: 2.0223 2022/08/02 01:38:19 - mmengine - INFO - Epoch(train) [26][180/1879] lr: 2.0000e-02 eta: 2 days, 11:46:46 time: 0.9300 data_time: 0.0305 memory: 11089 grad_norm: 3.9137 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9197 loss: 1.9197 2022/08/02 01:38:37 - mmengine - INFO - Epoch(train) [26][200/1879] lr: 2.0000e-02 eta: 2 days, 11:46:28 time: 0.9190 data_time: 0.0369 memory: 11089 grad_norm: 3.8629 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0037 loss: 2.0037 2022/08/02 01:38:56 - mmengine - INFO - Epoch(train) [26][220/1879] lr: 2.0000e-02 eta: 2 days, 11:46:11 time: 0.9259 data_time: 0.0319 memory: 11089 grad_norm: 3.9210 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9699 loss: 1.9699 2022/08/02 01:39:14 - mmengine - INFO - Epoch(train) [26][240/1879] lr: 2.0000e-02 eta: 2 days, 11:45:53 time: 0.9281 data_time: 0.0272 memory: 11089 grad_norm: 3.8076 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9222 loss: 1.9222 2022/08/02 01:39:32 - mmengine - INFO - Epoch(train) [26][260/1879] lr: 2.0000e-02 eta: 2 days, 11:45:33 time: 0.8933 data_time: 0.0318 memory: 11089 grad_norm: 3.8198 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0338 loss: 2.0338 2022/08/02 01:39:51 - mmengine - INFO - Epoch(train) [26][280/1879] lr: 2.0000e-02 eta: 2 days, 11:45:15 time: 0.9267 data_time: 0.0276 memory: 11089 grad_norm: 3.7212 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9924 loss: 1.9924 2022/08/02 01:40:09 - mmengine - INFO - Epoch(train) [26][300/1879] lr: 2.0000e-02 eta: 2 days, 11:44:55 time: 0.9027 data_time: 0.0334 memory: 11089 grad_norm: 3.8408 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7742 loss: 1.7742 2022/08/02 01:40:27 - mmengine - INFO - Epoch(train) [26][320/1879] lr: 2.0000e-02 eta: 2 days, 11:44:39 time: 0.9306 data_time: 0.0248 memory: 11089 grad_norm: 3.8784 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0746 loss: 2.0746 2022/08/02 01:40:46 - mmengine - INFO - Epoch(train) [26][340/1879] lr: 2.0000e-02 eta: 2 days, 11:44:20 time: 0.9181 data_time: 0.0268 memory: 11089 grad_norm: 3.9329 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0070 loss: 2.0070 2022/08/02 01:41:04 - mmengine - INFO - Epoch(train) [26][360/1879] lr: 2.0000e-02 eta: 2 days, 11:44:02 time: 0.9135 data_time: 0.0302 memory: 11089 grad_norm: 3.8845 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9845 loss: 1.9845 2022/08/02 01:41:22 - mmengine - INFO - Epoch(train) [26][380/1879] lr: 2.0000e-02 eta: 2 days, 11:43:42 time: 0.9024 data_time: 0.0289 memory: 11089 grad_norm: 3.7086 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.0069 loss: 2.0069 2022/08/02 01:41:40 - mmengine - INFO - Epoch(train) [26][400/1879] lr: 2.0000e-02 eta: 2 days, 11:43:25 time: 0.9274 data_time: 0.0326 memory: 11089 grad_norm: 3.8635 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1244 loss: 2.1244 2022/08/02 01:42:00 - mmengine - INFO - Epoch(train) [26][420/1879] lr: 2.0000e-02 eta: 2 days, 11:43:10 time: 0.9542 data_time: 0.0373 memory: 11089 grad_norm: 3.9297 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0391 loss: 2.0391 2022/08/02 01:42:18 - mmengine - INFO - Epoch(train) [26][440/1879] lr: 2.0000e-02 eta: 2 days, 11:42:54 time: 0.9403 data_time: 0.0295 memory: 11089 grad_norm: 3.8506 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8323 loss: 1.8323 2022/08/02 01:42:37 - mmengine - INFO - Epoch(train) [26][460/1879] lr: 2.0000e-02 eta: 2 days, 11:42:37 time: 0.9290 data_time: 0.0346 memory: 11089 grad_norm: 3.8387 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1012 loss: 2.1012 2022/08/02 01:42:55 - mmengine - INFO - Epoch(train) [26][480/1879] lr: 2.0000e-02 eta: 2 days, 11:42:19 time: 0.9284 data_time: 0.0277 memory: 11089 grad_norm: 3.7465 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1156 loss: 2.1156 2022/08/02 01:43:13 - mmengine - INFO - Epoch(train) [26][500/1879] lr: 2.0000e-02 eta: 2 days, 11:41:57 time: 0.8796 data_time: 0.0277 memory: 11089 grad_norm: 3.8401 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9950 loss: 1.9950 2022/08/02 01:43:32 - mmengine - INFO - Epoch(train) [26][520/1879] lr: 2.0000e-02 eta: 2 days, 11:41:41 time: 0.9399 data_time: 0.0326 memory: 11089 grad_norm: 3.8014 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9770 loss: 1.9770 2022/08/02 01:43:50 - mmengine - INFO - Epoch(train) [26][540/1879] lr: 2.0000e-02 eta: 2 days, 11:41:24 time: 0.9224 data_time: 0.0254 memory: 11089 grad_norm: 3.8263 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9287 loss: 1.9287 2022/08/02 01:44:08 - mmengine - INFO - Epoch(train) [26][560/1879] lr: 2.0000e-02 eta: 2 days, 11:41:03 time: 0.8944 data_time: 0.0280 memory: 11089 grad_norm: 3.9605 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8505 loss: 1.8505 2022/08/02 01:44:26 - mmengine - INFO - Epoch(train) [26][580/1879] lr: 2.0000e-02 eta: 2 days, 11:40:43 time: 0.8976 data_time: 0.0258 memory: 11089 grad_norm: 3.7742 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9810 loss: 1.9810 2022/08/02 01:44:44 - mmengine - INFO - Epoch(train) [26][600/1879] lr: 2.0000e-02 eta: 2 days, 11:40:22 time: 0.8965 data_time: 0.0265 memory: 11089 grad_norm: 3.8902 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1398 loss: 2.1398 2022/08/02 01:45:02 - mmengine - INFO - Epoch(train) [26][620/1879] lr: 2.0000e-02 eta: 2 days, 11:40:02 time: 0.8992 data_time: 0.0259 memory: 11089 grad_norm: 3.8593 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1217 loss: 2.1217 2022/08/02 01:45:21 - mmengine - INFO - Epoch(train) [26][640/1879] lr: 2.0000e-02 eta: 2 days, 11:39:44 time: 0.9171 data_time: 0.0280 memory: 11089 grad_norm: 3.8329 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9268 loss: 1.9268 2022/08/02 01:45:39 - mmengine - INFO - Epoch(train) [26][660/1879] lr: 2.0000e-02 eta: 2 days, 11:39:28 time: 0.9366 data_time: 0.0406 memory: 11089 grad_norm: 3.9155 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9898 loss: 1.9898 2022/08/02 01:45:57 - mmengine - INFO - Epoch(train) [26][680/1879] lr: 2.0000e-02 eta: 2 days, 11:39:08 time: 0.9060 data_time: 0.0241 memory: 11089 grad_norm: 3.8544 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7879 loss: 1.7879 2022/08/02 01:46:16 - mmengine - INFO - Epoch(train) [26][700/1879] lr: 2.0000e-02 eta: 2 days, 11:38:50 time: 0.9234 data_time: 0.0338 memory: 11089 grad_norm: 3.9356 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0007 loss: 2.0007 2022/08/02 01:46:34 - mmengine - INFO - Epoch(train) [26][720/1879] lr: 2.0000e-02 eta: 2 days, 11:38:32 time: 0.9205 data_time: 0.0287 memory: 11089 grad_norm: 3.8321 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2924 loss: 2.2924 2022/08/02 01:46:53 - mmengine - INFO - Epoch(train) [26][740/1879] lr: 2.0000e-02 eta: 2 days, 11:38:14 time: 0.9177 data_time: 0.0281 memory: 11089 grad_norm: 3.7563 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1133 loss: 2.1133 2022/08/02 01:47:11 - mmengine - INFO - Epoch(train) [26][760/1879] lr: 2.0000e-02 eta: 2 days, 11:37:56 time: 0.9232 data_time: 0.0332 memory: 11089 grad_norm: 3.8849 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0446 loss: 2.0446 2022/08/02 01:47:30 - mmengine - INFO - Epoch(train) [26][780/1879] lr: 2.0000e-02 eta: 2 days, 11:37:40 time: 0.9392 data_time: 0.0324 memory: 11089 grad_norm: 3.7574 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0716 loss: 2.0716 2022/08/02 01:47:48 - mmengine - INFO - Epoch(train) [26][800/1879] lr: 2.0000e-02 eta: 2 days, 11:37:22 time: 0.9226 data_time: 0.0356 memory: 11089 grad_norm: 3.7606 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9823 loss: 1.9823 2022/08/02 01:48:07 - mmengine - INFO - Epoch(train) [26][820/1879] lr: 2.0000e-02 eta: 2 days, 11:37:04 time: 0.9168 data_time: 0.0304 memory: 11089 grad_norm: 3.9089 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0436 loss: 2.0436 2022/08/02 01:48:25 - mmengine - INFO - Epoch(train) [26][840/1879] lr: 2.0000e-02 eta: 2 days, 11:36:48 time: 0.9447 data_time: 0.0327 memory: 11089 grad_norm: 3.7822 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7694 loss: 1.7694 2022/08/02 01:48:44 - mmengine - INFO - Epoch(train) [26][860/1879] lr: 2.0000e-02 eta: 2 days, 11:36:29 time: 0.9075 data_time: 0.0232 memory: 11089 grad_norm: 3.8107 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0726 loss: 2.0726 2022/08/02 01:49:02 - mmengine - INFO - Epoch(train) [26][880/1879] lr: 2.0000e-02 eta: 2 days, 11:36:09 time: 0.8964 data_time: 0.0236 memory: 11089 grad_norm: 3.8294 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1236 loss: 2.1236 2022/08/02 01:49:20 - mmengine - INFO - Epoch(train) [26][900/1879] lr: 2.0000e-02 eta: 2 days, 11:35:52 time: 0.9309 data_time: 0.0419 memory: 11089 grad_norm: 3.8058 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.8481 loss: 1.8481 2022/08/02 01:49:38 - mmengine - INFO - Epoch(train) [26][920/1879] lr: 2.0000e-02 eta: 2 days, 11:35:33 time: 0.9073 data_time: 0.0309 memory: 11089 grad_norm: 3.7694 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8302 loss: 1.8302 2022/08/02 01:49:57 - mmengine - INFO - Epoch(train) [26][940/1879] lr: 2.0000e-02 eta: 2 days, 11:35:16 time: 0.9346 data_time: 0.0273 memory: 11089 grad_norm: 3.8848 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8623 loss: 1.8623 2022/08/02 01:50:15 - mmengine - INFO - Epoch(train) [26][960/1879] lr: 2.0000e-02 eta: 2 days, 11:34:58 time: 0.9169 data_time: 0.0279 memory: 11089 grad_norm: 3.7827 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1120 loss: 2.1120 2022/08/02 01:50:34 - mmengine - INFO - Epoch(train) [26][980/1879] lr: 2.0000e-02 eta: 2 days, 11:34:39 time: 0.9127 data_time: 0.0246 memory: 11089 grad_norm: 3.8336 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0603 loss: 2.0603 2022/08/02 01:50:52 - mmengine - INFO - Epoch(train) [26][1000/1879] lr: 2.0000e-02 eta: 2 days, 11:34:22 time: 0.9323 data_time: 0.0327 memory: 11089 grad_norm: 3.8798 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8960 loss: 1.8960 2022/08/02 01:51:11 - mmengine - INFO - Epoch(train) [26][1020/1879] lr: 2.0000e-02 eta: 2 days, 11:34:04 time: 0.9172 data_time: 0.0293 memory: 11089 grad_norm: 3.7436 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0185 loss: 2.0185 2022/08/02 01:51:15 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 01:51:29 - mmengine - INFO - Epoch(train) [26][1040/1879] lr: 2.0000e-02 eta: 2 days, 11:33:47 time: 0.9308 data_time: 0.0274 memory: 11089 grad_norm: 3.7321 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1146 loss: 2.1146 2022/08/02 01:51:47 - mmengine - INFO - Epoch(train) [26][1060/1879] lr: 2.0000e-02 eta: 2 days, 11:33:27 time: 0.9026 data_time: 0.0261 memory: 11089 grad_norm: 4.0090 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1409 loss: 2.1409 2022/08/02 01:52:05 - mmengine - INFO - Epoch(train) [26][1080/1879] lr: 2.0000e-02 eta: 2 days, 11:33:08 time: 0.9090 data_time: 0.0275 memory: 11089 grad_norm: 3.8662 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9115 loss: 1.9115 2022/08/02 01:52:23 - mmengine - INFO - Epoch(train) [26][1100/1879] lr: 2.0000e-02 eta: 2 days, 11:32:47 time: 0.8906 data_time: 0.0259 memory: 11089 grad_norm: 3.8870 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2189 loss: 2.2189 2022/08/02 01:52:42 - mmengine - INFO - Epoch(train) [26][1120/1879] lr: 2.0000e-02 eta: 2 days, 11:32:30 time: 0.9349 data_time: 0.0271 memory: 11089 grad_norm: 3.8488 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9151 loss: 1.9151 2022/08/02 01:53:00 - mmengine - INFO - Epoch(train) [26][1140/1879] lr: 2.0000e-02 eta: 2 days, 11:32:13 time: 0.9257 data_time: 0.0334 memory: 11089 grad_norm: 3.9019 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9576 loss: 1.9576 2022/08/02 01:53:19 - mmengine - INFO - Epoch(train) [26][1160/1879] lr: 2.0000e-02 eta: 2 days, 11:31:54 time: 0.9082 data_time: 0.0236 memory: 11089 grad_norm: 3.8801 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1448 loss: 2.1448 2022/08/02 01:53:37 - mmengine - INFO - Epoch(train) [26][1180/1879] lr: 2.0000e-02 eta: 2 days, 11:31:36 time: 0.9191 data_time: 0.0323 memory: 11089 grad_norm: 3.9263 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8377 loss: 1.8377 2022/08/02 01:53:55 - mmengine - INFO - Epoch(train) [26][1200/1879] lr: 2.0000e-02 eta: 2 days, 11:31:17 time: 0.9177 data_time: 0.0303 memory: 11089 grad_norm: 3.8566 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1220 loss: 2.1220 2022/08/02 01:54:14 - mmengine - INFO - Epoch(train) [26][1220/1879] lr: 2.0000e-02 eta: 2 days, 11:30:59 time: 0.9133 data_time: 0.0264 memory: 11089 grad_norm: 3.8970 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0870 loss: 2.0870 2022/08/02 01:54:32 - mmengine - INFO - Epoch(train) [26][1240/1879] lr: 2.0000e-02 eta: 2 days, 11:30:41 time: 0.9199 data_time: 0.0250 memory: 11089 grad_norm: 3.8667 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0651 loss: 2.0651 2022/08/02 01:54:51 - mmengine - INFO - Epoch(train) [26][1260/1879] lr: 2.0000e-02 eta: 2 days, 11:30:24 time: 0.9315 data_time: 0.0324 memory: 11089 grad_norm: 3.8026 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0995 loss: 2.0995 2022/08/02 01:55:09 - mmengine - INFO - Epoch(train) [26][1280/1879] lr: 2.0000e-02 eta: 2 days, 11:30:05 time: 0.9096 data_time: 0.0260 memory: 11089 grad_norm: 3.8625 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2783 loss: 2.2783 2022/08/02 01:55:28 - mmengine - INFO - Epoch(train) [26][1300/1879] lr: 2.0000e-02 eta: 2 days, 11:29:49 time: 0.9422 data_time: 0.0287 memory: 11089 grad_norm: 3.7693 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0220 loss: 2.0220 2022/08/02 01:55:46 - mmengine - INFO - Epoch(train) [26][1320/1879] lr: 2.0000e-02 eta: 2 days, 11:29:31 time: 0.9261 data_time: 0.0318 memory: 11089 grad_norm: 3.8383 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9665 loss: 1.9665 2022/08/02 01:56:04 - mmengine - INFO - Epoch(train) [26][1340/1879] lr: 2.0000e-02 eta: 2 days, 11:29:12 time: 0.9034 data_time: 0.0256 memory: 11089 grad_norm: 3.8101 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0056 loss: 2.0056 2022/08/02 01:56:22 - mmengine - INFO - Epoch(train) [26][1360/1879] lr: 2.0000e-02 eta: 2 days, 11:28:51 time: 0.8979 data_time: 0.0261 memory: 11089 grad_norm: 3.8566 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9250 loss: 1.9250 2022/08/02 01:56:41 - mmengine - INFO - Epoch(train) [26][1380/1879] lr: 2.0000e-02 eta: 2 days, 11:28:34 time: 0.9253 data_time: 0.0321 memory: 11089 grad_norm: 3.8309 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8148 loss: 1.8148 2022/08/02 01:56:59 - mmengine - INFO - Epoch(train) [26][1400/1879] lr: 2.0000e-02 eta: 2 days, 11:28:15 time: 0.9123 data_time: 0.0325 memory: 11089 grad_norm: 3.8785 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0687 loss: 2.0687 2022/08/02 01:57:17 - mmengine - INFO - Epoch(train) [26][1420/1879] lr: 2.0000e-02 eta: 2 days, 11:27:57 time: 0.9245 data_time: 0.0248 memory: 11089 grad_norm: 3.8923 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8050 loss: 1.8050 2022/08/02 01:57:36 - mmengine - INFO - Epoch(train) [26][1440/1879] lr: 2.0000e-02 eta: 2 days, 11:27:38 time: 0.9086 data_time: 0.0280 memory: 11089 grad_norm: 3.9302 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8693 loss: 1.8693 2022/08/02 01:57:54 - mmengine - INFO - Epoch(train) [26][1460/1879] lr: 2.0000e-02 eta: 2 days, 11:27:20 time: 0.9175 data_time: 0.0259 memory: 11089 grad_norm: 3.8172 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9676 loss: 1.9676 2022/08/02 01:58:12 - mmengine - INFO - Epoch(train) [26][1480/1879] lr: 2.0000e-02 eta: 2 days, 11:27:00 time: 0.9014 data_time: 0.0232 memory: 11089 grad_norm: 3.8314 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9781 loss: 1.9781 2022/08/02 01:58:31 - mmengine - INFO - Epoch(train) [26][1500/1879] lr: 2.0000e-02 eta: 2 days, 11:26:44 time: 0.9376 data_time: 0.0309 memory: 11089 grad_norm: 3.7804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9773 loss: 1.9773 2022/08/02 01:58:50 - mmengine - INFO - Epoch(train) [26][1520/1879] lr: 2.0000e-02 eta: 2 days, 11:26:29 time: 0.9553 data_time: 0.0292 memory: 11089 grad_norm: 3.8895 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9747 loss: 1.9747 2022/08/02 01:59:08 - mmengine - INFO - Epoch(train) [26][1540/1879] lr: 2.0000e-02 eta: 2 days, 11:26:11 time: 0.9201 data_time: 0.0255 memory: 11089 grad_norm: 3.8548 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9057 loss: 1.9057 2022/08/02 01:59:27 - mmengine - INFO - Epoch(train) [26][1560/1879] lr: 2.0000e-02 eta: 2 days, 11:25:53 time: 0.9200 data_time: 0.0221 memory: 11089 grad_norm: 3.7131 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8621 loss: 1.8621 2022/08/02 01:59:45 - mmengine - INFO - Epoch(train) [26][1580/1879] lr: 2.0000e-02 eta: 2 days, 11:25:33 time: 0.9050 data_time: 0.0304 memory: 11089 grad_norm: 3.7696 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1650 loss: 2.1650 2022/08/02 02:00:06 - mmengine - INFO - Epoch(train) [26][1600/1879] lr: 2.0000e-02 eta: 2 days, 11:25:28 time: 1.0491 data_time: 0.0380 memory: 11089 grad_norm: 3.8687 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9414 loss: 1.9414 2022/08/02 02:00:24 - mmengine - INFO - Epoch(train) [26][1620/1879] lr: 2.0000e-02 eta: 2 days, 11:25:09 time: 0.9161 data_time: 0.0305 memory: 11089 grad_norm: 3.8873 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0178 loss: 2.0178 2022/08/02 02:00:42 - mmengine - INFO - Epoch(train) [26][1640/1879] lr: 2.0000e-02 eta: 2 days, 11:24:48 time: 0.8891 data_time: 0.0299 memory: 11089 grad_norm: 3.8646 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9470 loss: 1.9470 2022/08/02 02:01:01 - mmengine - INFO - Epoch(train) [26][1660/1879] lr: 2.0000e-02 eta: 2 days, 11:24:31 time: 0.9311 data_time: 0.0310 memory: 11089 grad_norm: 3.8305 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0765 loss: 2.0765 2022/08/02 02:01:19 - mmengine - INFO - Epoch(train) [26][1680/1879] lr: 2.0000e-02 eta: 2 days, 11:24:15 time: 0.9347 data_time: 0.0247 memory: 11089 grad_norm: 3.8462 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0085 loss: 2.0085 2022/08/02 02:01:38 - mmengine - INFO - Epoch(train) [26][1700/1879] lr: 2.0000e-02 eta: 2 days, 11:23:56 time: 0.9171 data_time: 0.0280 memory: 11089 grad_norm: 3.8528 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9270 loss: 1.9270 2022/08/02 02:01:56 - mmengine - INFO - Epoch(train) [26][1720/1879] lr: 2.0000e-02 eta: 2 days, 11:23:40 time: 0.9388 data_time: 0.0277 memory: 11089 grad_norm: 3.7578 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8083 loss: 1.8083 2022/08/02 02:02:15 - mmengine - INFO - Epoch(train) [26][1740/1879] lr: 2.0000e-02 eta: 2 days, 11:23:21 time: 0.9118 data_time: 0.0326 memory: 11089 grad_norm: 3.9488 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1118 loss: 2.1118 2022/08/02 02:02:33 - mmengine - INFO - Epoch(train) [26][1760/1879] lr: 2.0000e-02 eta: 2 days, 11:23:03 time: 0.9228 data_time: 0.0296 memory: 11089 grad_norm: 3.8446 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.1231 loss: 2.1231 2022/08/02 02:02:52 - mmengine - INFO - Epoch(train) [26][1780/1879] lr: 2.0000e-02 eta: 2 days, 11:22:47 time: 0.9377 data_time: 0.0361 memory: 11089 grad_norm: 3.7826 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0241 loss: 2.0241 2022/08/02 02:03:10 - mmengine - INFO - Epoch(train) [26][1800/1879] lr: 2.0000e-02 eta: 2 days, 11:22:30 time: 0.9280 data_time: 0.0283 memory: 11089 grad_norm: 3.8266 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1284 loss: 2.1284 2022/08/02 02:03:29 - mmengine - INFO - Epoch(train) [26][1820/1879] lr: 2.0000e-02 eta: 2 days, 11:22:13 time: 0.9304 data_time: 0.0338 memory: 11089 grad_norm: 3.7521 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0405 loss: 2.0405 2022/08/02 02:03:48 - mmengine - INFO - Epoch(train) [26][1840/1879] lr: 2.0000e-02 eta: 2 days, 11:21:56 time: 0.9296 data_time: 0.0234 memory: 11089 grad_norm: 3.8805 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9291 loss: 1.9291 2022/08/02 02:04:06 - mmengine - INFO - Epoch(train) [26][1860/1879] lr: 2.0000e-02 eta: 2 days, 11:21:38 time: 0.9245 data_time: 0.0306 memory: 11089 grad_norm: 3.8202 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0029 loss: 2.0029 2022/08/02 02:04:23 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 02:04:23 - mmengine - INFO - Epoch(train) [26][1879/1879] lr: 2.0000e-02 eta: 2 days, 11:21:38 time: 0.8856 data_time: 0.0331 memory: 11089 grad_norm: 3.9746 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.0430 loss: 2.0430 2022/08/02 02:04:43 - mmengine - INFO - Epoch(train) [27][20/1879] lr: 2.0000e-02 eta: 2 days, 11:19:48 time: 1.0095 data_time: 0.1362 memory: 11089 grad_norm: 3.8766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0459 loss: 2.0459 2022/08/02 02:05:01 - mmengine - INFO - Epoch(train) [27][40/1879] lr: 2.0000e-02 eta: 2 days, 11:19:29 time: 0.9114 data_time: 0.0255 memory: 11089 grad_norm: 3.8235 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0622 loss: 2.0622 2022/08/02 02:05:19 - mmengine - INFO - Epoch(train) [27][60/1879] lr: 2.0000e-02 eta: 2 days, 11:19:08 time: 0.8836 data_time: 0.0273 memory: 11089 grad_norm: 3.7977 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8871 loss: 1.8871 2022/08/02 02:05:37 - mmengine - INFO - Epoch(train) [27][80/1879] lr: 2.0000e-02 eta: 2 days, 11:18:49 time: 0.9133 data_time: 0.0336 memory: 11089 grad_norm: 3.8824 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 2.2335 loss: 2.2335 2022/08/02 02:05:56 - mmengine - INFO - Epoch(train) [27][100/1879] lr: 2.0000e-02 eta: 2 days, 11:18:31 time: 0.9198 data_time: 0.0349 memory: 11089 grad_norm: 3.7350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9491 loss: 1.9491 2022/08/02 02:06:14 - mmengine - INFO - Epoch(train) [27][120/1879] lr: 2.0000e-02 eta: 2 days, 11:18:11 time: 0.9024 data_time: 0.0279 memory: 11089 grad_norm: 3.8057 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2520 loss: 2.2520 2022/08/02 02:06:32 - mmengine - INFO - Epoch(train) [27][140/1879] lr: 2.0000e-02 eta: 2 days, 11:17:50 time: 0.8918 data_time: 0.0261 memory: 11089 grad_norm: 3.8715 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9592 loss: 1.9592 2022/08/02 02:06:37 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 02:06:50 - mmengine - INFO - Epoch(train) [27][160/1879] lr: 2.0000e-02 eta: 2 days, 11:17:32 time: 0.9200 data_time: 0.0324 memory: 11089 grad_norm: 3.9105 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2116 loss: 2.2116 2022/08/02 02:07:09 - mmengine - INFO - Epoch(train) [27][180/1879] lr: 2.0000e-02 eta: 2 days, 11:17:15 time: 0.9263 data_time: 0.0320 memory: 11089 grad_norm: 3.8674 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0383 loss: 2.0383 2022/08/02 02:07:27 - mmengine - INFO - Epoch(train) [27][200/1879] lr: 2.0000e-02 eta: 2 days, 11:16:56 time: 0.9063 data_time: 0.0243 memory: 11089 grad_norm: 3.7752 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0106 loss: 2.0106 2022/08/02 02:07:45 - mmengine - INFO - Epoch(train) [27][220/1879] lr: 2.0000e-02 eta: 2 days, 11:16:38 time: 0.9204 data_time: 0.0265 memory: 11089 grad_norm: 3.7720 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0322 loss: 2.0322 2022/08/02 02:08:04 - mmengine - INFO - Epoch(train) [27][240/1879] lr: 2.0000e-02 eta: 2 days, 11:16:21 time: 0.9290 data_time: 0.0283 memory: 11089 grad_norm: 3.8409 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8207 loss: 1.8207 2022/08/02 02:08:22 - mmengine - INFO - Epoch(train) [27][260/1879] lr: 2.0000e-02 eta: 2 days, 11:16:02 time: 0.9162 data_time: 0.0317 memory: 11089 grad_norm: 3.8264 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0110 loss: 2.0110 2022/08/02 02:08:40 - mmengine - INFO - Epoch(train) [27][280/1879] lr: 2.0000e-02 eta: 2 days, 11:15:42 time: 0.8985 data_time: 0.0234 memory: 11089 grad_norm: 3.8303 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9104 loss: 1.9104 2022/08/02 02:08:59 - mmengine - INFO - Epoch(train) [27][300/1879] lr: 2.0000e-02 eta: 2 days, 11:15:25 time: 0.9294 data_time: 0.0301 memory: 11089 grad_norm: 3.8184 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0209 loss: 2.0209 2022/08/02 02:09:17 - mmengine - INFO - Epoch(train) [27][320/1879] lr: 2.0000e-02 eta: 2 days, 11:15:06 time: 0.9140 data_time: 0.0307 memory: 11089 grad_norm: 3.8388 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0049 loss: 2.0049 2022/08/02 02:09:35 - mmengine - INFO - Epoch(train) [27][340/1879] lr: 2.0000e-02 eta: 2 days, 11:14:48 time: 0.9148 data_time: 0.0323 memory: 11089 grad_norm: 4.0477 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0239 loss: 2.0239 2022/08/02 02:09:53 - mmengine - INFO - Epoch(train) [27][360/1879] lr: 2.0000e-02 eta: 2 days, 11:14:28 time: 0.8989 data_time: 0.0304 memory: 11089 grad_norm: 3.8347 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0099 loss: 2.0099 2022/08/02 02:10:12 - mmengine - INFO - Epoch(train) [27][380/1879] lr: 2.0000e-02 eta: 2 days, 11:14:12 time: 0.9384 data_time: 0.0278 memory: 11089 grad_norm: 3.9477 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9169 loss: 1.9169 2022/08/02 02:10:30 - mmengine - INFO - Epoch(train) [27][400/1879] lr: 2.0000e-02 eta: 2 days, 11:13:52 time: 0.9090 data_time: 0.0231 memory: 11089 grad_norm: 3.9170 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.2218 loss: 2.2218 2022/08/02 02:10:49 - mmengine - INFO - Epoch(train) [27][420/1879] lr: 2.0000e-02 eta: 2 days, 11:13:35 time: 0.9313 data_time: 0.0382 memory: 11089 grad_norm: 3.8477 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9723 loss: 1.9723 2022/08/02 02:11:07 - mmengine - INFO - Epoch(train) [27][440/1879] lr: 2.0000e-02 eta: 2 days, 11:13:16 time: 0.8992 data_time: 0.0248 memory: 11089 grad_norm: 3.8322 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7892 loss: 1.7892 2022/08/02 02:11:25 - mmengine - INFO - Epoch(train) [27][460/1879] lr: 2.0000e-02 eta: 2 days, 11:12:55 time: 0.8944 data_time: 0.0315 memory: 11089 grad_norm: 3.8019 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9200 loss: 1.9200 2022/08/02 02:11:43 - mmengine - INFO - Epoch(train) [27][480/1879] lr: 2.0000e-02 eta: 2 days, 11:12:37 time: 0.9171 data_time: 0.0259 memory: 11089 grad_norm: 3.7957 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0447 loss: 2.0447 2022/08/02 02:12:01 - mmengine - INFO - Epoch(train) [27][500/1879] lr: 2.0000e-02 eta: 2 days, 11:12:18 time: 0.9167 data_time: 0.0288 memory: 11089 grad_norm: 3.7898 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0226 loss: 2.0226 2022/08/02 02:12:20 - mmengine - INFO - Epoch(train) [27][520/1879] lr: 2.0000e-02 eta: 2 days, 11:12:01 time: 0.9241 data_time: 0.0260 memory: 11089 grad_norm: 3.7389 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0350 loss: 2.0350 2022/08/02 02:12:38 - mmengine - INFO - Epoch(train) [27][540/1879] lr: 2.0000e-02 eta: 2 days, 11:11:44 time: 0.9304 data_time: 0.0352 memory: 11089 grad_norm: 3.8226 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0231 loss: 2.0231 2022/08/02 02:12:57 - mmengine - INFO - Epoch(train) [27][560/1879] lr: 2.0000e-02 eta: 2 days, 11:11:26 time: 0.9200 data_time: 0.0310 memory: 11089 grad_norm: 3.8054 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8994 loss: 1.8994 2022/08/02 02:13:15 - mmengine - INFO - Epoch(train) [27][580/1879] lr: 2.0000e-02 eta: 2 days, 11:11:09 time: 0.9327 data_time: 0.0253 memory: 11089 grad_norm: 3.8358 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9933 loss: 1.9933 2022/08/02 02:13:33 - mmengine - INFO - Epoch(train) [27][600/1879] lr: 2.0000e-02 eta: 2 days, 11:10:49 time: 0.9022 data_time: 0.0268 memory: 11089 grad_norm: 3.9981 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0095 loss: 2.0095 2022/08/02 02:13:52 - mmengine - INFO - Epoch(train) [27][620/1879] lr: 2.0000e-02 eta: 2 days, 11:10:33 time: 0.9421 data_time: 0.0326 memory: 11089 grad_norm: 3.9128 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0551 loss: 2.0551 2022/08/02 02:14:11 - mmengine - INFO - Epoch(train) [27][640/1879] lr: 2.0000e-02 eta: 2 days, 11:10:17 time: 0.9377 data_time: 0.0338 memory: 11089 grad_norm: 3.8266 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9919 loss: 1.9919 2022/08/02 02:14:30 - mmengine - INFO - Epoch(train) [27][660/1879] lr: 2.0000e-02 eta: 2 days, 11:10:00 time: 0.9319 data_time: 0.0284 memory: 11089 grad_norm: 3.9732 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.0742 loss: 2.0742 2022/08/02 02:14:48 - mmengine - INFO - Epoch(train) [27][680/1879] lr: 2.0000e-02 eta: 2 days, 11:09:41 time: 0.9135 data_time: 0.0260 memory: 11089 grad_norm: 3.8761 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0417 loss: 2.0417 2022/08/02 02:15:06 - mmengine - INFO - Epoch(train) [27][700/1879] lr: 2.0000e-02 eta: 2 days, 11:09:22 time: 0.9088 data_time: 0.0276 memory: 11089 grad_norm: 3.7950 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2471 loss: 2.2471 2022/08/02 02:15:25 - mmengine - INFO - Epoch(train) [27][720/1879] lr: 2.0000e-02 eta: 2 days, 11:09:05 time: 0.9328 data_time: 0.0238 memory: 11089 grad_norm: 3.8453 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8684 loss: 1.8684 2022/08/02 02:15:43 - mmengine - INFO - Epoch(train) [27][740/1879] lr: 2.0000e-02 eta: 2 days, 11:08:47 time: 0.9128 data_time: 0.0218 memory: 11089 grad_norm: 3.7845 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9832 loss: 1.9832 2022/08/02 02:16:02 - mmengine - INFO - Epoch(train) [27][760/1879] lr: 2.0000e-02 eta: 2 days, 11:08:29 time: 0.9279 data_time: 0.0332 memory: 11089 grad_norm: 3.9166 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9596 loss: 1.9596 2022/08/02 02:16:20 - mmengine - INFO - Epoch(train) [27][780/1879] lr: 2.0000e-02 eta: 2 days, 11:08:11 time: 0.9135 data_time: 0.0372 memory: 11089 grad_norm: 3.8350 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0855 loss: 2.0855 2022/08/02 02:16:38 - mmengine - INFO - Epoch(train) [27][800/1879] lr: 2.0000e-02 eta: 2 days, 11:07:52 time: 0.9171 data_time: 0.0328 memory: 11089 grad_norm: 3.7530 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9476 loss: 1.9476 2022/08/02 02:16:57 - mmengine - INFO - Epoch(train) [27][820/1879] lr: 2.0000e-02 eta: 2 days, 11:07:35 time: 0.9267 data_time: 0.0256 memory: 11089 grad_norm: 3.8424 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0411 loss: 2.0411 2022/08/02 02:17:15 - mmengine - INFO - Epoch(train) [27][840/1879] lr: 2.0000e-02 eta: 2 days, 11:07:15 time: 0.8981 data_time: 0.0316 memory: 11089 grad_norm: 3.8016 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9766 loss: 1.9766 2022/08/02 02:17:34 - mmengine - INFO - Epoch(train) [27][860/1879] lr: 2.0000e-02 eta: 2 days, 11:07:00 time: 0.9511 data_time: 0.0341 memory: 11089 grad_norm: 3.9162 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9799 loss: 1.9799 2022/08/02 02:17:52 - mmengine - INFO - Epoch(train) [27][880/1879] lr: 2.0000e-02 eta: 2 days, 11:06:43 time: 0.9304 data_time: 0.0287 memory: 11089 grad_norm: 3.8427 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0575 loss: 2.0575 2022/08/02 02:18:11 - mmengine - INFO - Epoch(train) [27][900/1879] lr: 2.0000e-02 eta: 2 days, 11:06:26 time: 0.9348 data_time: 0.0327 memory: 11089 grad_norm: 3.7989 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0258 loss: 2.0258 2022/08/02 02:18:29 - mmengine - INFO - Epoch(train) [27][920/1879] lr: 2.0000e-02 eta: 2 days, 11:06:08 time: 0.9157 data_time: 0.0274 memory: 11089 grad_norm: 3.7898 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9598 loss: 1.9598 2022/08/02 02:18:48 - mmengine - INFO - Epoch(train) [27][940/1879] lr: 2.0000e-02 eta: 2 days, 11:05:50 time: 0.9217 data_time: 0.0250 memory: 11089 grad_norm: 3.7180 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0724 loss: 2.0724 2022/08/02 02:19:06 - mmengine - INFO - Epoch(train) [27][960/1879] lr: 2.0000e-02 eta: 2 days, 11:05:32 time: 0.9214 data_time: 0.0288 memory: 11089 grad_norm: 3.7924 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.1115 loss: 2.1115 2022/08/02 02:19:25 - mmengine - INFO - Epoch(train) [27][980/1879] lr: 2.0000e-02 eta: 2 days, 11:05:14 time: 0.9192 data_time: 0.0268 memory: 11089 grad_norm: 3.8738 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8929 loss: 1.8929 2022/08/02 02:19:43 - mmengine - INFO - Epoch(train) [27][1000/1879] lr: 2.0000e-02 eta: 2 days, 11:04:56 time: 0.9209 data_time: 0.0296 memory: 11089 grad_norm: 3.9711 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9595 loss: 1.9595 2022/08/02 02:20:01 - mmengine - INFO - Epoch(train) [27][1020/1879] lr: 2.0000e-02 eta: 2 days, 11:04:37 time: 0.9146 data_time: 0.0276 memory: 11089 grad_norm: 3.8715 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0655 loss: 2.0655 2022/08/02 02:20:19 - mmengine - INFO - Epoch(train) [27][1040/1879] lr: 2.0000e-02 eta: 2 days, 11:04:16 time: 0.8898 data_time: 0.0281 memory: 11089 grad_norm: 3.8283 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9607 loss: 1.9607 2022/08/02 02:20:37 - mmengine - INFO - Epoch(train) [27][1060/1879] lr: 2.0000e-02 eta: 2 days, 11:03:57 time: 0.9079 data_time: 0.0263 memory: 11089 grad_norm: 3.8580 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1896 loss: 2.1896 2022/08/02 02:20:55 - mmengine - INFO - Epoch(train) [27][1080/1879] lr: 2.0000e-02 eta: 2 days, 11:03:38 time: 0.9095 data_time: 0.0251 memory: 11089 grad_norm: 3.8289 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9999 loss: 1.9999 2022/08/02 02:21:14 - mmengine - INFO - Epoch(train) [27][1100/1879] lr: 2.0000e-02 eta: 2 days, 11:03:20 time: 0.9172 data_time: 0.0299 memory: 11089 grad_norm: 3.8353 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9779 loss: 1.9779 2022/08/02 02:21:32 - mmengine - INFO - Epoch(train) [27][1120/1879] lr: 2.0000e-02 eta: 2 days, 11:03:00 time: 0.9048 data_time: 0.0213 memory: 11089 grad_norm: 3.8583 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9185 loss: 1.9185 2022/08/02 02:21:51 - mmengine - INFO - Epoch(train) [27][1140/1879] lr: 2.0000e-02 eta: 2 days, 11:02:43 time: 0.9304 data_time: 0.0291 memory: 11089 grad_norm: 3.8663 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9119 loss: 1.9119 2022/08/02 02:21:56 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 02:22:09 - mmengine - INFO - Epoch(train) [27][1160/1879] lr: 2.0000e-02 eta: 2 days, 11:02:25 time: 0.9118 data_time: 0.0251 memory: 11089 grad_norm: 3.8264 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0604 loss: 2.0604 2022/08/02 02:22:27 - mmengine - INFO - Epoch(train) [27][1180/1879] lr: 2.0000e-02 eta: 2 days, 11:02:06 time: 0.9133 data_time: 0.0280 memory: 11089 grad_norm: 3.8441 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9489 loss: 1.9489 2022/08/02 02:22:46 - mmengine - INFO - Epoch(train) [27][1200/1879] lr: 2.0000e-02 eta: 2 days, 11:01:49 time: 0.9341 data_time: 0.0340 memory: 11089 grad_norm: 3.9127 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0579 loss: 2.0579 2022/08/02 02:23:04 - mmengine - INFO - Epoch(train) [27][1220/1879] lr: 2.0000e-02 eta: 2 days, 11:01:32 time: 0.9342 data_time: 0.0315 memory: 11089 grad_norm: 3.8595 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.1228 loss: 2.1228 2022/08/02 02:23:23 - mmengine - INFO - Epoch(train) [27][1240/1879] lr: 2.0000e-02 eta: 2 days, 11:01:15 time: 0.9228 data_time: 0.0320 memory: 11089 grad_norm: 3.7922 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8765 loss: 1.8765 2022/08/02 02:23:41 - mmengine - INFO - Epoch(train) [27][1260/1879] lr: 2.0000e-02 eta: 2 days, 11:00:55 time: 0.8975 data_time: 0.0237 memory: 11089 grad_norm: 3.8248 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8358 loss: 1.8358 2022/08/02 02:23:59 - mmengine - INFO - Epoch(train) [27][1280/1879] lr: 2.0000e-02 eta: 2 days, 11:00:36 time: 0.9097 data_time: 0.0272 memory: 11089 grad_norm: 3.7751 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0543 loss: 2.0543 2022/08/02 02:24:17 - mmengine - INFO - Epoch(train) [27][1300/1879] lr: 2.0000e-02 eta: 2 days, 11:00:18 time: 0.9227 data_time: 0.0274 memory: 11089 grad_norm: 3.8399 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0930 loss: 2.0930 2022/08/02 02:24:36 - mmengine - INFO - Epoch(train) [27][1320/1879] lr: 2.0000e-02 eta: 2 days, 10:59:59 time: 0.9070 data_time: 0.0268 memory: 11089 grad_norm: 3.8721 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9824 loss: 1.9824 2022/08/02 02:24:54 - mmengine - INFO - Epoch(train) [27][1340/1879] lr: 2.0000e-02 eta: 2 days, 10:59:42 time: 0.9314 data_time: 0.0282 memory: 11089 grad_norm: 3.8338 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1712 loss: 2.1712 2022/08/02 02:25:13 - mmengine - INFO - Epoch(train) [27][1360/1879] lr: 2.0000e-02 eta: 2 days, 10:59:24 time: 0.9235 data_time: 0.0290 memory: 11089 grad_norm: 3.8505 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0609 loss: 2.0609 2022/08/02 02:25:32 - mmengine - INFO - Epoch(train) [27][1380/1879] lr: 2.0000e-02 eta: 2 days, 10:59:07 time: 0.9348 data_time: 0.0264 memory: 11089 grad_norm: 3.9186 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0484 loss: 2.0484 2022/08/02 02:25:50 - mmengine - INFO - Epoch(train) [27][1400/1879] lr: 2.0000e-02 eta: 2 days, 10:58:50 time: 0.9312 data_time: 0.0388 memory: 11089 grad_norm: 3.8691 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0024 loss: 2.0024 2022/08/02 02:26:08 - mmengine - INFO - Epoch(train) [27][1420/1879] lr: 2.0000e-02 eta: 2 days, 10:58:32 time: 0.9205 data_time: 0.0255 memory: 11089 grad_norm: 3.8005 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9734 loss: 1.9734 2022/08/02 02:26:26 - mmengine - INFO - Epoch(train) [27][1440/1879] lr: 2.0000e-02 eta: 2 days, 10:58:12 time: 0.8942 data_time: 0.0202 memory: 11089 grad_norm: 3.8577 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0802 loss: 2.0802 2022/08/02 02:26:45 - mmengine - INFO - Epoch(train) [27][1460/1879] lr: 2.0000e-02 eta: 2 days, 10:57:53 time: 0.9099 data_time: 0.0230 memory: 11089 grad_norm: 3.8865 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0674 loss: 2.0674 2022/08/02 02:27:03 - mmengine - INFO - Epoch(train) [27][1480/1879] lr: 2.0000e-02 eta: 2 days, 10:57:36 time: 0.9365 data_time: 0.0270 memory: 11089 grad_norm: 3.7734 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0521 loss: 2.0521 2022/08/02 02:27:21 - mmengine - INFO - Epoch(train) [27][1500/1879] lr: 2.0000e-02 eta: 2 days, 10:57:17 time: 0.9033 data_time: 0.0237 memory: 11089 grad_norm: 3.7187 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8112 loss: 1.8112 2022/08/02 02:27:40 - mmengine - INFO - Epoch(train) [27][1520/1879] lr: 2.0000e-02 eta: 2 days, 10:57:00 time: 0.9330 data_time: 0.0283 memory: 11089 grad_norm: 3.8395 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8111 loss: 1.8111 2022/08/02 02:27:59 - mmengine - INFO - Epoch(train) [27][1540/1879] lr: 2.0000e-02 eta: 2 days, 10:56:43 time: 0.9293 data_time: 0.0243 memory: 11089 grad_norm: 3.8731 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9922 loss: 1.9922 2022/08/02 02:28:17 - mmengine - INFO - Epoch(train) [27][1560/1879] lr: 2.0000e-02 eta: 2 days, 10:56:23 time: 0.9061 data_time: 0.0249 memory: 11089 grad_norm: 3.8926 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1431 loss: 2.1431 2022/08/02 02:28:35 - mmengine - INFO - Epoch(train) [27][1580/1879] lr: 2.0000e-02 eta: 2 days, 10:56:06 time: 0.9304 data_time: 0.0229 memory: 11089 grad_norm: 3.9175 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8936 loss: 1.8936 2022/08/02 02:28:54 - mmengine - INFO - Epoch(train) [27][1600/1879] lr: 2.0000e-02 eta: 2 days, 10:55:48 time: 0.9164 data_time: 0.0263 memory: 11089 grad_norm: 3.8660 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9234 loss: 1.9234 2022/08/02 02:29:12 - mmengine - INFO - Epoch(train) [27][1620/1879] lr: 2.0000e-02 eta: 2 days, 10:55:29 time: 0.9102 data_time: 0.0294 memory: 11089 grad_norm: 3.7640 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0939 loss: 2.0939 2022/08/02 02:29:30 - mmengine - INFO - Epoch(train) [27][1640/1879] lr: 2.0000e-02 eta: 2 days, 10:55:11 time: 0.9252 data_time: 0.0278 memory: 11089 grad_norm: 3.8206 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8760 loss: 1.8760 2022/08/02 02:29:49 - mmengine - INFO - Epoch(train) [27][1660/1879] lr: 2.0000e-02 eta: 2 days, 10:54:54 time: 0.9276 data_time: 0.0256 memory: 11089 grad_norm: 3.8530 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8746 loss: 1.8746 2022/08/02 02:30:07 - mmengine - INFO - Epoch(train) [27][1680/1879] lr: 2.0000e-02 eta: 2 days, 10:54:35 time: 0.9079 data_time: 0.0254 memory: 11089 grad_norm: 3.8599 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9725 loss: 1.9725 2022/08/02 02:30:25 - mmengine - INFO - Epoch(train) [27][1700/1879] lr: 2.0000e-02 eta: 2 days, 10:54:16 time: 0.9131 data_time: 0.0319 memory: 11089 grad_norm: 3.9394 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2145 loss: 2.2145 2022/08/02 02:30:44 - mmengine - INFO - Epoch(train) [27][1720/1879] lr: 2.0000e-02 eta: 2 days, 10:53:58 time: 0.9229 data_time: 0.0248 memory: 11089 grad_norm: 3.9388 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1585 loss: 2.1585 2022/08/02 02:31:02 - mmengine - INFO - Epoch(train) [27][1740/1879] lr: 2.0000e-02 eta: 2 days, 10:53:41 time: 0.9250 data_time: 0.0294 memory: 11089 grad_norm: 3.9319 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2646 loss: 2.2646 2022/08/02 02:31:20 - mmengine - INFO - Epoch(train) [27][1760/1879] lr: 2.0000e-02 eta: 2 days, 10:53:21 time: 0.9038 data_time: 0.0273 memory: 11089 grad_norm: 3.8957 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1045 loss: 2.1045 2022/08/02 02:31:39 - mmengine - INFO - Epoch(train) [27][1780/1879] lr: 2.0000e-02 eta: 2 days, 10:53:03 time: 0.9223 data_time: 0.0294 memory: 11089 grad_norm: 3.7923 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8828 loss: 1.8828 2022/08/02 02:31:57 - mmengine - INFO - Epoch(train) [27][1800/1879] lr: 2.0000e-02 eta: 2 days, 10:52:45 time: 0.9140 data_time: 0.0293 memory: 11089 grad_norm: 3.8693 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0718 loss: 2.0718 2022/08/02 02:32:16 - mmengine - INFO - Epoch(train) [27][1820/1879] lr: 2.0000e-02 eta: 2 days, 10:52:28 time: 0.9363 data_time: 0.0246 memory: 11089 grad_norm: 3.8672 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9388 loss: 1.9388 2022/08/02 02:32:34 - mmengine - INFO - Epoch(train) [27][1840/1879] lr: 2.0000e-02 eta: 2 days, 10:52:11 time: 0.9323 data_time: 0.0330 memory: 11089 grad_norm: 3.9189 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0774 loss: 2.0774 2022/08/02 02:32:53 - mmengine - INFO - Epoch(train) [27][1860/1879] lr: 2.0000e-02 eta: 2 days, 10:51:54 time: 0.9264 data_time: 0.0315 memory: 11089 grad_norm: 3.9581 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9556 loss: 1.9556 2022/08/02 02:33:10 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 02:33:10 - mmengine - INFO - Epoch(train) [27][1879/1879] lr: 2.0000e-02 eta: 2 days, 10:51:54 time: 0.9088 data_time: 0.0335 memory: 11089 grad_norm: 3.9057 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.8841 loss: 1.8841 2022/08/02 02:33:31 - mmengine - INFO - Epoch(train) [28][20/1879] lr: 2.0000e-02 eta: 2 days, 10:50:08 time: 1.0157 data_time: 0.1438 memory: 11089 grad_norm: 3.8312 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8527 loss: 1.8527 2022/08/02 02:33:50 - mmengine - INFO - Epoch(train) [28][40/1879] lr: 2.0000e-02 eta: 2 days, 10:49:52 time: 0.9407 data_time: 0.0264 memory: 11089 grad_norm: 3.8172 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9192 loss: 1.9192 2022/08/02 02:34:08 - mmengine - INFO - Epoch(train) [28][60/1879] lr: 2.0000e-02 eta: 2 days, 10:49:32 time: 0.9033 data_time: 0.0253 memory: 11089 grad_norm: 3.8814 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9213 loss: 1.9213 2022/08/02 02:34:26 - mmengine - INFO - Epoch(train) [28][80/1879] lr: 2.0000e-02 eta: 2 days, 10:49:14 time: 0.9195 data_time: 0.0314 memory: 11089 grad_norm: 3.9605 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0525 loss: 2.0525 2022/08/02 02:34:45 - mmengine - INFO - Epoch(train) [28][100/1879] lr: 2.0000e-02 eta: 2 days, 10:48:57 time: 0.9281 data_time: 0.0308 memory: 11089 grad_norm: 3.9178 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9649 loss: 1.9649 2022/08/02 02:35:04 - mmengine - INFO - Epoch(train) [28][120/1879] lr: 2.0000e-02 eta: 2 days, 10:48:42 time: 0.9556 data_time: 0.0279 memory: 11089 grad_norm: 3.7624 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0107 loss: 2.0107 2022/08/02 02:35:22 - mmengine - INFO - Epoch(train) [28][140/1879] lr: 2.0000e-02 eta: 2 days, 10:48:23 time: 0.9103 data_time: 0.0307 memory: 11089 grad_norm: 3.7342 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0250 loss: 2.0250 2022/08/02 02:35:41 - mmengine - INFO - Epoch(train) [28][160/1879] lr: 2.0000e-02 eta: 2 days, 10:48:07 time: 0.9388 data_time: 0.0314 memory: 11089 grad_norm: 3.7999 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0441 loss: 2.0441 2022/08/02 02:35:59 - mmengine - INFO - Epoch(train) [28][180/1879] lr: 2.0000e-02 eta: 2 days, 10:47:48 time: 0.9076 data_time: 0.0270 memory: 11089 grad_norm: 3.8220 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0326 loss: 2.0326 2022/08/02 02:36:17 - mmengine - INFO - Epoch(train) [28][200/1879] lr: 2.0000e-02 eta: 2 days, 10:47:29 time: 0.9105 data_time: 0.0218 memory: 11089 grad_norm: 3.8487 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1612 loss: 2.1612 2022/08/02 02:36:36 - mmengine - INFO - Epoch(train) [28][220/1879] lr: 2.0000e-02 eta: 2 days, 10:47:12 time: 0.9334 data_time: 0.0283 memory: 11089 grad_norm: 3.8421 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1598 loss: 2.1598 2022/08/02 02:36:54 - mmengine - INFO - Epoch(train) [28][240/1879] lr: 2.0000e-02 eta: 2 days, 10:46:53 time: 0.9139 data_time: 0.0328 memory: 11089 grad_norm: 3.7703 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8680 loss: 1.8680 2022/08/02 02:37:13 - mmengine - INFO - Epoch(train) [28][260/1879] lr: 2.0000e-02 eta: 2 days, 10:46:37 time: 0.9331 data_time: 0.0284 memory: 11089 grad_norm: 3.8164 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1065 loss: 2.1065 2022/08/02 02:37:19 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 02:37:31 - mmengine - INFO - Epoch(train) [28][280/1879] lr: 2.0000e-02 eta: 2 days, 10:46:19 time: 0.9228 data_time: 0.0284 memory: 11089 grad_norm: 3.7502 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7711 loss: 1.7711 2022/08/02 02:37:50 - mmengine - INFO - Epoch(train) [28][300/1879] lr: 2.0000e-02 eta: 2 days, 10:46:04 time: 0.9608 data_time: 0.0304 memory: 11089 grad_norm: 3.7613 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0766 loss: 2.0766 2022/08/02 02:38:09 - mmengine - INFO - Epoch(train) [28][320/1879] lr: 2.0000e-02 eta: 2 days, 10:45:46 time: 0.9126 data_time: 0.0288 memory: 11089 grad_norm: 3.9023 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0055 loss: 2.0055 2022/08/02 02:38:27 - mmengine - INFO - Epoch(train) [28][340/1879] lr: 2.0000e-02 eta: 2 days, 10:45:27 time: 0.9080 data_time: 0.0210 memory: 11089 grad_norm: 3.8661 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.0344 loss: 2.0344 2022/08/02 02:38:45 - mmengine - INFO - Epoch(train) [28][360/1879] lr: 2.0000e-02 eta: 2 days, 10:45:07 time: 0.9057 data_time: 0.0244 memory: 11089 grad_norm: 3.9653 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0007 loss: 2.0007 2022/08/02 02:39:03 - mmengine - INFO - Epoch(train) [28][380/1879] lr: 2.0000e-02 eta: 2 days, 10:44:49 time: 0.9174 data_time: 0.0267 memory: 11089 grad_norm: 3.8774 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7912 loss: 1.7912 2022/08/02 02:39:22 - mmengine - INFO - Epoch(train) [28][400/1879] lr: 2.0000e-02 eta: 2 days, 10:44:31 time: 0.9244 data_time: 0.0320 memory: 11089 grad_norm: 3.8289 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0906 loss: 2.0906 2022/08/02 02:39:40 - mmengine - INFO - Epoch(train) [28][420/1879] lr: 2.0000e-02 eta: 2 days, 10:44:12 time: 0.9012 data_time: 0.0228 memory: 11089 grad_norm: 3.9216 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2908 loss: 2.2908 2022/08/02 02:39:58 - mmengine - INFO - Epoch(train) [28][440/1879] lr: 2.0000e-02 eta: 2 days, 10:43:53 time: 0.9095 data_time: 0.0319 memory: 11089 grad_norm: 3.8445 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8662 loss: 1.8662 2022/08/02 02:40:16 - mmengine - INFO - Epoch(train) [28][460/1879] lr: 2.0000e-02 eta: 2 days, 10:43:34 time: 0.9092 data_time: 0.0310 memory: 11089 grad_norm: 3.8425 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0479 loss: 2.0479 2022/08/02 02:40:34 - mmengine - INFO - Epoch(train) [28][480/1879] lr: 2.0000e-02 eta: 2 days, 10:43:15 time: 0.9108 data_time: 0.0273 memory: 11089 grad_norm: 3.8918 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0189 loss: 2.0189 2022/08/02 02:40:53 - mmengine - INFO - Epoch(train) [28][500/1879] lr: 2.0000e-02 eta: 2 days, 10:42:56 time: 0.9127 data_time: 0.0244 memory: 11089 grad_norm: 3.8648 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0121 loss: 2.0121 2022/08/02 02:41:11 - mmengine - INFO - Epoch(train) [28][520/1879] lr: 2.0000e-02 eta: 2 days, 10:42:37 time: 0.9017 data_time: 0.0258 memory: 11089 grad_norm: 3.9512 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2533 loss: 2.2533 2022/08/02 02:41:29 - mmengine - INFO - Epoch(train) [28][540/1879] lr: 2.0000e-02 eta: 2 days, 10:42:18 time: 0.9166 data_time: 0.0243 memory: 11089 grad_norm: 3.7641 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0526 loss: 2.0526 2022/08/02 02:41:48 - mmengine - INFO - Epoch(train) [28][560/1879] lr: 2.0000e-02 eta: 2 days, 10:42:02 time: 0.9431 data_time: 0.0219 memory: 11089 grad_norm: 3.8304 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.0488 loss: 2.0488 2022/08/02 02:42:06 - mmengine - INFO - Epoch(train) [28][580/1879] lr: 2.0000e-02 eta: 2 days, 10:41:45 time: 0.9262 data_time: 0.0347 memory: 11089 grad_norm: 3.8809 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9277 loss: 1.9277 2022/08/02 02:42:25 - mmengine - INFO - Epoch(train) [28][600/1879] lr: 2.0000e-02 eta: 2 days, 10:41:26 time: 0.9133 data_time: 0.0226 memory: 11089 grad_norm: 3.8250 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0575 loss: 2.0575 2022/08/02 02:42:43 - mmengine - INFO - Epoch(train) [28][620/1879] lr: 2.0000e-02 eta: 2 days, 10:41:07 time: 0.9024 data_time: 0.0281 memory: 11089 grad_norm: 3.8496 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0270 loss: 2.0270 2022/08/02 02:43:01 - mmengine - INFO - Epoch(train) [28][640/1879] lr: 2.0000e-02 eta: 2 days, 10:40:49 time: 0.9296 data_time: 0.0247 memory: 11089 grad_norm: 3.8301 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7936 loss: 1.7936 2022/08/02 02:43:20 - mmengine - INFO - Epoch(train) [28][660/1879] lr: 2.0000e-02 eta: 2 days, 10:40:31 time: 0.9174 data_time: 0.0292 memory: 11089 grad_norm: 3.7649 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8022 loss: 1.8022 2022/08/02 02:43:38 - mmengine - INFO - Epoch(train) [28][680/1879] lr: 2.0000e-02 eta: 2 days, 10:40:13 time: 0.9230 data_time: 0.0313 memory: 11089 grad_norm: 3.8823 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0267 loss: 2.0267 2022/08/02 02:43:57 - mmengine - INFO - Epoch(train) [28][700/1879] lr: 2.0000e-02 eta: 2 days, 10:39:58 time: 0.9497 data_time: 0.0292 memory: 11089 grad_norm: 3.8710 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9878 loss: 1.9878 2022/08/02 02:44:15 - mmengine - INFO - Epoch(train) [28][720/1879] lr: 2.0000e-02 eta: 2 days, 10:39:39 time: 0.9045 data_time: 0.0251 memory: 11089 grad_norm: 3.8509 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1454 loss: 2.1454 2022/08/02 02:44:34 - mmengine - INFO - Epoch(train) [28][740/1879] lr: 2.0000e-02 eta: 2 days, 10:39:21 time: 0.9236 data_time: 0.0317 memory: 11089 grad_norm: 3.7468 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0749 loss: 2.0749 2022/08/02 02:44:52 - mmengine - INFO - Epoch(train) [28][760/1879] lr: 2.0000e-02 eta: 2 days, 10:39:04 time: 0.9297 data_time: 0.0251 memory: 11089 grad_norm: 3.8810 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9971 loss: 1.9971 2022/08/02 02:45:11 - mmengine - INFO - Epoch(train) [28][780/1879] lr: 2.0000e-02 eta: 2 days, 10:38:47 time: 0.9287 data_time: 0.0297 memory: 11089 grad_norm: 3.7720 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9537 loss: 1.9537 2022/08/02 02:45:29 - mmengine - INFO - Epoch(train) [28][800/1879] lr: 2.0000e-02 eta: 2 days, 10:38:27 time: 0.9082 data_time: 0.0320 memory: 11089 grad_norm: 3.7882 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9248 loss: 1.9248 2022/08/02 02:45:48 - mmengine - INFO - Epoch(train) [28][820/1879] lr: 2.0000e-02 eta: 2 days, 10:38:11 time: 0.9415 data_time: 0.0286 memory: 11089 grad_norm: 3.9031 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9259 loss: 1.9259 2022/08/02 02:46:06 - mmengine - INFO - Epoch(train) [28][840/1879] lr: 2.0000e-02 eta: 2 days, 10:37:54 time: 0.9306 data_time: 0.0377 memory: 11089 grad_norm: 3.8789 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0986 loss: 2.0986 2022/08/02 02:46:25 - mmengine - INFO - Epoch(train) [28][860/1879] lr: 2.0000e-02 eta: 2 days, 10:37:38 time: 0.9392 data_time: 0.0292 memory: 11089 grad_norm: 3.8504 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7746 loss: 1.7746 2022/08/02 02:46:44 - mmengine - INFO - Epoch(train) [28][880/1879] lr: 2.0000e-02 eta: 2 days, 10:37:20 time: 0.9208 data_time: 0.0252 memory: 11089 grad_norm: 3.8771 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9301 loss: 1.9301 2022/08/02 02:47:02 - mmengine - INFO - Epoch(train) [28][900/1879] lr: 2.0000e-02 eta: 2 days, 10:37:02 time: 0.9170 data_time: 0.0291 memory: 11089 grad_norm: 3.9059 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1717 loss: 2.1717 2022/08/02 02:47:20 - mmengine - INFO - Epoch(train) [28][920/1879] lr: 2.0000e-02 eta: 2 days, 10:36:42 time: 0.9035 data_time: 0.0303 memory: 11089 grad_norm: 3.8837 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0637 loss: 2.0637 2022/08/02 02:47:38 - mmengine - INFO - Epoch(train) [28][940/1879] lr: 2.0000e-02 eta: 2 days, 10:36:24 time: 0.9151 data_time: 0.0262 memory: 11089 grad_norm: 3.9211 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.9088 loss: 1.9088 2022/08/02 02:47:57 - mmengine - INFO - Epoch(train) [28][960/1879] lr: 2.0000e-02 eta: 2 days, 10:36:05 time: 0.9174 data_time: 0.0330 memory: 11089 grad_norm: 3.9056 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1228 loss: 2.1228 2022/08/02 02:48:15 - mmengine - INFO - Epoch(train) [28][980/1879] lr: 2.0000e-02 eta: 2 days, 10:35:47 time: 0.9136 data_time: 0.0297 memory: 11089 grad_norm: 3.8121 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9077 loss: 1.9077 2022/08/02 02:48:34 - mmengine - INFO - Epoch(train) [28][1000/1879] lr: 2.0000e-02 eta: 2 days, 10:35:31 time: 0.9491 data_time: 0.0265 memory: 11089 grad_norm: 3.8893 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3121 loss: 2.3121 2022/08/02 02:48:53 - mmengine - INFO - Epoch(train) [28][1020/1879] lr: 2.0000e-02 eta: 2 days, 10:35:14 time: 0.9299 data_time: 0.0288 memory: 11089 grad_norm: 3.8927 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1736 loss: 2.1736 2022/08/02 02:49:11 - mmengine - INFO - Epoch(train) [28][1040/1879] lr: 2.0000e-02 eta: 2 days, 10:34:55 time: 0.9043 data_time: 0.0311 memory: 11089 grad_norm: 3.7930 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.1074 loss: 2.1074 2022/08/02 02:49:29 - mmengine - INFO - Epoch(train) [28][1060/1879] lr: 2.0000e-02 eta: 2 days, 10:34:36 time: 0.9078 data_time: 0.0293 memory: 11089 grad_norm: 3.8789 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9700 loss: 1.9700 2022/08/02 02:49:47 - mmengine - INFO - Epoch(train) [28][1080/1879] lr: 2.0000e-02 eta: 2 days, 10:34:17 time: 0.9165 data_time: 0.0261 memory: 11089 grad_norm: 3.8370 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0575 loss: 2.0575 2022/08/02 02:50:06 - mmengine - INFO - Epoch(train) [28][1100/1879] lr: 2.0000e-02 eta: 2 days, 10:34:02 time: 0.9504 data_time: 0.0327 memory: 11089 grad_norm: 3.7449 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8869 loss: 1.8869 2022/08/02 02:50:24 - mmengine - INFO - Epoch(train) [28][1120/1879] lr: 2.0000e-02 eta: 2 days, 10:33:43 time: 0.9100 data_time: 0.0285 memory: 11089 grad_norm: 3.8333 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8439 loss: 1.8439 2022/08/02 02:50:43 - mmengine - INFO - Epoch(train) [28][1140/1879] lr: 2.0000e-02 eta: 2 days, 10:33:25 time: 0.9199 data_time: 0.0279 memory: 11089 grad_norm: 3.8603 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0179 loss: 2.0179 2022/08/02 02:51:01 - mmengine - INFO - Epoch(train) [28][1160/1879] lr: 2.0000e-02 eta: 2 days, 10:33:05 time: 0.8968 data_time: 0.0258 memory: 11089 grad_norm: 3.8190 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0142 loss: 2.0142 2022/08/02 02:51:19 - mmengine - INFO - Epoch(train) [28][1180/1879] lr: 2.0000e-02 eta: 2 days, 10:32:45 time: 0.8967 data_time: 0.0284 memory: 11089 grad_norm: 3.8017 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9390 loss: 1.9390 2022/08/02 02:51:37 - mmengine - INFO - Epoch(train) [28][1200/1879] lr: 2.0000e-02 eta: 2 days, 10:32:29 time: 0.9427 data_time: 0.0325 memory: 11089 grad_norm: 3.9148 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0639 loss: 2.0639 2022/08/02 02:51:56 - mmengine - INFO - Epoch(train) [28][1220/1879] lr: 2.0000e-02 eta: 2 days, 10:32:13 time: 0.9387 data_time: 0.0327 memory: 11089 grad_norm: 3.8925 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9617 loss: 1.9617 2022/08/02 02:52:15 - mmengine - INFO - Epoch(train) [28][1240/1879] lr: 2.0000e-02 eta: 2 days, 10:31:56 time: 0.9427 data_time: 0.0313 memory: 11089 grad_norm: 3.9045 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0031 loss: 2.0031 2022/08/02 02:52:33 - mmengine - INFO - Epoch(train) [28][1260/1879] lr: 2.0000e-02 eta: 2 days, 10:31:37 time: 0.9048 data_time: 0.0270 memory: 11089 grad_norm: 3.8827 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0985 loss: 2.0985 2022/08/02 02:52:40 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 02:52:52 - mmengine - INFO - Epoch(train) [28][1280/1879] lr: 2.0000e-02 eta: 2 days, 10:31:19 time: 0.9164 data_time: 0.0336 memory: 11089 grad_norm: 3.8939 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8143 loss: 1.8143 2022/08/02 02:53:10 - mmengine - INFO - Epoch(train) [28][1300/1879] lr: 2.0000e-02 eta: 2 days, 10:30:59 time: 0.9009 data_time: 0.0269 memory: 11089 grad_norm: 3.9731 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9897 loss: 1.9897 2022/08/02 02:53:28 - mmengine - INFO - Epoch(train) [28][1320/1879] lr: 2.0000e-02 eta: 2 days, 10:30:43 time: 0.9376 data_time: 0.0250 memory: 11089 grad_norm: 3.7856 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8927 loss: 1.8927 2022/08/02 02:53:47 - mmengine - INFO - Epoch(train) [28][1340/1879] lr: 2.0000e-02 eta: 2 days, 10:30:24 time: 0.9181 data_time: 0.0361 memory: 11089 grad_norm: 3.7563 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0116 loss: 2.0116 2022/08/02 02:54:05 - mmengine - INFO - Epoch(train) [28][1360/1879] lr: 2.0000e-02 eta: 2 days, 10:30:06 time: 0.9202 data_time: 0.0305 memory: 11089 grad_norm: 3.7248 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8284 loss: 1.8284 2022/08/02 02:54:24 - mmengine - INFO - Epoch(train) [28][1380/1879] lr: 2.0000e-02 eta: 2 days, 10:29:48 time: 0.9219 data_time: 0.0268 memory: 11089 grad_norm: 3.8699 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8747 loss: 1.8747 2022/08/02 02:54:42 - mmengine - INFO - Epoch(train) [28][1400/1879] lr: 2.0000e-02 eta: 2 days, 10:29:31 time: 0.9314 data_time: 0.0276 memory: 11089 grad_norm: 3.8504 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0308 loss: 2.0308 2022/08/02 02:55:00 - mmengine - INFO - Epoch(train) [28][1420/1879] lr: 2.0000e-02 eta: 2 days, 10:29:10 time: 0.8787 data_time: 0.0259 memory: 11089 grad_norm: 3.8146 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8206 loss: 1.8206 2022/08/02 02:55:18 - mmengine - INFO - Epoch(train) [28][1440/1879] lr: 2.0000e-02 eta: 2 days, 10:28:51 time: 0.9090 data_time: 0.0258 memory: 11089 grad_norm: 3.8571 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9798 loss: 1.9798 2022/08/02 02:55:36 - mmengine - INFO - Epoch(train) [28][1460/1879] lr: 2.0000e-02 eta: 2 days, 10:28:32 time: 0.9142 data_time: 0.0283 memory: 11089 grad_norm: 3.7537 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9182 loss: 1.9182 2022/08/02 02:55:55 - mmengine - INFO - Epoch(train) [28][1480/1879] lr: 2.0000e-02 eta: 2 days, 10:28:16 time: 0.9356 data_time: 0.0342 memory: 11089 grad_norm: 3.8391 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9804 loss: 1.9804 2022/08/02 02:56:14 - mmengine - INFO - Epoch(train) [28][1500/1879] lr: 2.0000e-02 eta: 2 days, 10:27:58 time: 0.9261 data_time: 0.0293 memory: 11089 grad_norm: 3.7833 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8880 loss: 1.8880 2022/08/02 02:56:32 - mmengine - INFO - Epoch(train) [28][1520/1879] lr: 2.0000e-02 eta: 2 days, 10:27:41 time: 0.9327 data_time: 0.0386 memory: 11089 grad_norm: 3.8206 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2720 loss: 2.2720 2022/08/02 02:56:50 - mmengine - INFO - Epoch(train) [28][1540/1879] lr: 2.0000e-02 eta: 2 days, 10:27:22 time: 0.9131 data_time: 0.0240 memory: 11089 grad_norm: 3.8812 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1421 loss: 2.1421 2022/08/02 02:57:09 - mmengine - INFO - Epoch(train) [28][1560/1879] lr: 2.0000e-02 eta: 2 days, 10:27:04 time: 0.9098 data_time: 0.0272 memory: 11089 grad_norm: 3.9015 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8352 loss: 1.8352 2022/08/02 02:57:28 - mmengine - INFO - Epoch(train) [28][1580/1879] lr: 2.0000e-02 eta: 2 days, 10:26:49 time: 0.9548 data_time: 0.0291 memory: 11089 grad_norm: 3.9643 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.1569 loss: 2.1569 2022/08/02 02:57:46 - mmengine - INFO - Epoch(train) [28][1600/1879] lr: 2.0000e-02 eta: 2 days, 10:26:31 time: 0.9205 data_time: 0.0319 memory: 11089 grad_norm: 3.8818 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9569 loss: 1.9569 2022/08/02 02:58:05 - mmengine - INFO - Epoch(train) [28][1620/1879] lr: 2.0000e-02 eta: 2 days, 10:26:13 time: 0.9260 data_time: 0.0306 memory: 11089 grad_norm: 3.8157 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9874 loss: 1.9874 2022/08/02 02:58:23 - mmengine - INFO - Epoch(train) [28][1640/1879] lr: 2.0000e-02 eta: 2 days, 10:25:57 time: 0.9431 data_time: 0.0283 memory: 11089 grad_norm: 3.8918 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9579 loss: 1.9579 2022/08/02 02:58:42 - mmengine - INFO - Epoch(train) [28][1660/1879] lr: 2.0000e-02 eta: 2 days, 10:25:38 time: 0.9112 data_time: 0.0258 memory: 11089 grad_norm: 3.8428 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 2.0611 loss: 2.0611 2022/08/02 02:59:00 - mmengine - INFO - Epoch(train) [28][1680/1879] lr: 2.0000e-02 eta: 2 days, 10:25:21 time: 0.9304 data_time: 0.0259 memory: 11089 grad_norm: 3.7940 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9846 loss: 1.9846 2022/08/02 02:59:19 - mmengine - INFO - Epoch(train) [28][1700/1879] lr: 2.0000e-02 eta: 2 days, 10:25:04 time: 0.9295 data_time: 0.0262 memory: 11089 grad_norm: 3.8655 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9487 loss: 1.9487 2022/08/02 02:59:38 - mmengine - INFO - Epoch(train) [28][1720/1879] lr: 2.0000e-02 eta: 2 days, 10:24:48 time: 0.9470 data_time: 0.0303 memory: 11089 grad_norm: 3.8429 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0450 loss: 2.0450 2022/08/02 02:59:57 - mmengine - INFO - Epoch(train) [28][1740/1879] lr: 2.0000e-02 eta: 2 days, 10:24:32 time: 0.9440 data_time: 0.0292 memory: 11089 grad_norm: 3.7845 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9796 loss: 1.9796 2022/08/02 03:00:15 - mmengine - INFO - Epoch(train) [28][1760/1879] lr: 2.0000e-02 eta: 2 days, 10:24:14 time: 0.9138 data_time: 0.0235 memory: 11089 grad_norm: 3.8046 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8087 loss: 1.8087 2022/08/02 03:00:33 - mmengine - INFO - Epoch(train) [28][1780/1879] lr: 2.0000e-02 eta: 2 days, 10:23:53 time: 0.8919 data_time: 0.0288 memory: 11089 grad_norm: 3.9221 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1270 loss: 2.1270 2022/08/02 03:00:51 - mmengine - INFO - Epoch(train) [28][1800/1879] lr: 2.0000e-02 eta: 2 days, 10:23:35 time: 0.9233 data_time: 0.0321 memory: 11089 grad_norm: 3.8718 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1298 loss: 2.1298 2022/08/02 03:01:10 - mmengine - INFO - Epoch(train) [28][1820/1879] lr: 2.0000e-02 eta: 2 days, 10:23:18 time: 0.9256 data_time: 0.0354 memory: 11089 grad_norm: 3.8050 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0909 loss: 2.0909 2022/08/02 03:01:28 - mmengine - INFO - Epoch(train) [28][1840/1879] lr: 2.0000e-02 eta: 2 days, 10:23:01 time: 0.9339 data_time: 0.0273 memory: 11089 grad_norm: 3.9268 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1342 loss: 2.1342 2022/08/02 03:01:47 - mmengine - INFO - Epoch(train) [28][1860/1879] lr: 2.0000e-02 eta: 2 days, 10:22:41 time: 0.9016 data_time: 0.0258 memory: 11089 grad_norm: 3.8691 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9460 loss: 1.9460 2022/08/02 03:02:04 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 03:02:04 - mmengine - INFO - Epoch(train) [28][1879/1879] lr: 2.0000e-02 eta: 2 days, 10:22:41 time: 0.8940 data_time: 0.0307 memory: 11089 grad_norm: 3.8180 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.9023 loss: 1.9023 2022/08/02 03:02:04 - mmengine - INFO - Saving checkpoint at 28 epochs 2022/08/02 03:02:27 - mmengine - INFO - Epoch(train) [29][20/1879] lr: 2.0000e-02 eta: 2 days, 10:20:59 time: 1.0250 data_time: 0.1159 memory: 11089 grad_norm: 3.7329 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9038 loss: 1.9038 2022/08/02 03:02:45 - mmengine - INFO - Epoch(train) [29][40/1879] lr: 2.0000e-02 eta: 2 days, 10:20:39 time: 0.8927 data_time: 0.0337 memory: 11089 grad_norm: 3.8049 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8784 loss: 1.8784 2022/08/02 03:03:03 - mmengine - INFO - Epoch(train) [29][60/1879] lr: 2.0000e-02 eta: 2 days, 10:20:21 time: 0.9241 data_time: 0.0317 memory: 11089 grad_norm: 3.8123 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8244 loss: 1.8244 2022/08/02 03:03:21 - mmengine - INFO - Epoch(train) [29][80/1879] lr: 2.0000e-02 eta: 2 days, 10:20:01 time: 0.8992 data_time: 0.0270 memory: 11089 grad_norm: 3.7916 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9171 loss: 1.9171 2022/08/02 03:03:39 - mmengine - INFO - Epoch(train) [29][100/1879] lr: 2.0000e-02 eta: 2 days, 10:19:43 time: 0.9211 data_time: 0.0256 memory: 11089 grad_norm: 3.8910 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7595 loss: 1.7595 2022/08/02 03:03:58 - mmengine - INFO - Epoch(train) [29][120/1879] lr: 2.0000e-02 eta: 2 days, 10:19:26 time: 0.9313 data_time: 0.0307 memory: 11089 grad_norm: 3.8471 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0638 loss: 2.0638 2022/08/02 03:04:17 - mmengine - INFO - Epoch(train) [29][140/1879] lr: 2.0000e-02 eta: 2 days, 10:19:09 time: 0.9230 data_time: 0.0263 memory: 11089 grad_norm: 3.8381 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0266 loss: 2.0266 2022/08/02 03:04:35 - mmengine - INFO - Epoch(train) [29][160/1879] lr: 2.0000e-02 eta: 2 days, 10:18:52 time: 0.9310 data_time: 0.0290 memory: 11089 grad_norm: 3.9308 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8498 loss: 1.8498 2022/08/02 03:04:54 - mmengine - INFO - Epoch(train) [29][180/1879] lr: 2.0000e-02 eta: 2 days, 10:18:35 time: 0.9319 data_time: 0.0341 memory: 11089 grad_norm: 3.7485 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7948 loss: 1.7948 2022/08/02 03:05:12 - mmengine - INFO - Epoch(train) [29][200/1879] lr: 2.0000e-02 eta: 2 days, 10:18:17 time: 0.9265 data_time: 0.0294 memory: 11089 grad_norm: 3.8062 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8483 loss: 1.8483 2022/08/02 03:05:30 - mmengine - INFO - Epoch(train) [29][220/1879] lr: 2.0000e-02 eta: 2 days, 10:17:57 time: 0.8976 data_time: 0.0276 memory: 11089 grad_norm: 3.8041 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7707 loss: 1.7707 2022/08/02 03:05:49 - mmengine - INFO - Epoch(train) [29][240/1879] lr: 2.0000e-02 eta: 2 days, 10:17:38 time: 0.9124 data_time: 0.0262 memory: 11089 grad_norm: 3.8046 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8485 loss: 1.8485 2022/08/02 03:06:07 - mmengine - INFO - Epoch(train) [29][260/1879] lr: 2.0000e-02 eta: 2 days, 10:17:19 time: 0.9088 data_time: 0.0281 memory: 11089 grad_norm: 3.8623 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0640 loss: 2.0640 2022/08/02 03:06:25 - mmengine - INFO - Epoch(train) [29][280/1879] lr: 2.0000e-02 eta: 2 days, 10:17:01 time: 0.9171 data_time: 0.0255 memory: 11089 grad_norm: 3.8764 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9498 loss: 1.9498 2022/08/02 03:06:44 - mmengine - INFO - Epoch(train) [29][300/1879] lr: 2.0000e-02 eta: 2 days, 10:16:44 time: 0.9312 data_time: 0.0255 memory: 11089 grad_norm: 3.8801 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9800 loss: 1.9800 2022/08/02 03:07:02 - mmengine - INFO - Epoch(train) [29][320/1879] lr: 2.0000e-02 eta: 2 days, 10:16:27 time: 0.9333 data_time: 0.0226 memory: 11089 grad_norm: 3.9157 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1408 loss: 2.1408 2022/08/02 03:07:21 - mmengine - INFO - Epoch(train) [29][340/1879] lr: 2.0000e-02 eta: 2 days, 10:16:10 time: 0.9304 data_time: 0.0317 memory: 11089 grad_norm: 3.8717 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1079 loss: 2.1079 2022/08/02 03:07:40 - mmengine - INFO - Epoch(train) [29][360/1879] lr: 2.0000e-02 eta: 2 days, 10:15:54 time: 0.9426 data_time: 0.0314 memory: 11089 grad_norm: 3.9127 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1756 loss: 2.1756 2022/08/02 03:07:58 - mmengine - INFO - Epoch(train) [29][380/1879] lr: 2.0000e-02 eta: 2 days, 10:15:35 time: 0.9130 data_time: 0.0276 memory: 11089 grad_norm: 3.9111 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7168 loss: 1.7168 2022/08/02 03:08:06 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 03:08:17 - mmengine - INFO - Epoch(train) [29][400/1879] lr: 2.0000e-02 eta: 2 days, 10:15:18 time: 0.9244 data_time: 0.0290 memory: 11089 grad_norm: 3.8035 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0727 loss: 2.0727 2022/08/02 03:08:35 - mmengine - INFO - Epoch(train) [29][420/1879] lr: 2.0000e-02 eta: 2 days, 10:14:59 time: 0.9106 data_time: 0.0275 memory: 11089 grad_norm: 3.7638 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9360 loss: 1.9360 2022/08/02 03:08:53 - mmengine - INFO - Epoch(train) [29][440/1879] lr: 2.0000e-02 eta: 2 days, 10:14:41 time: 0.9239 data_time: 0.0361 memory: 11089 grad_norm: 3.8538 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8747 loss: 1.8747 2022/08/02 03:09:11 - mmengine - INFO - Epoch(train) [29][460/1879] lr: 2.0000e-02 eta: 2 days, 10:14:21 time: 0.8951 data_time: 0.0230 memory: 11089 grad_norm: 3.9234 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0677 loss: 2.0677 2022/08/02 03:09:30 - mmengine - INFO - Epoch(train) [29][480/1879] lr: 2.0000e-02 eta: 2 days, 10:14:03 time: 0.9222 data_time: 0.0257 memory: 11089 grad_norm: 3.8926 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9261 loss: 1.9261 2022/08/02 03:09:48 - mmengine - INFO - Epoch(train) [29][500/1879] lr: 2.0000e-02 eta: 2 days, 10:13:44 time: 0.9020 data_time: 0.0299 memory: 11089 grad_norm: 3.8577 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0243 loss: 2.0243 2022/08/02 03:10:06 - mmengine - INFO - Epoch(train) [29][520/1879] lr: 2.0000e-02 eta: 2 days, 10:13:26 time: 0.9234 data_time: 0.0322 memory: 11089 grad_norm: 3.8598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9015 loss: 1.9015 2022/08/02 03:10:24 - mmengine - INFO - Epoch(train) [29][540/1879] lr: 2.0000e-02 eta: 2 days, 10:13:07 time: 0.9126 data_time: 0.0238 memory: 11089 grad_norm: 3.8257 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9296 loss: 1.9296 2022/08/02 03:10:43 - mmengine - INFO - Epoch(train) [29][560/1879] lr: 2.0000e-02 eta: 2 days, 10:12:52 time: 0.9500 data_time: 0.0326 memory: 11089 grad_norm: 3.8982 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0900 loss: 2.0900 2022/08/02 03:11:01 - mmengine - INFO - Epoch(train) [29][580/1879] lr: 2.0000e-02 eta: 2 days, 10:12:32 time: 0.9044 data_time: 0.0327 memory: 11089 grad_norm: 3.8533 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.1799 loss: 2.1799 2022/08/02 03:11:20 - mmengine - INFO - Epoch(train) [29][600/1879] lr: 2.0000e-02 eta: 2 days, 10:12:17 time: 0.9462 data_time: 0.0284 memory: 11089 grad_norm: 3.8909 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8247 loss: 1.8247 2022/08/02 03:11:39 - mmengine - INFO - Epoch(train) [29][620/1879] lr: 2.0000e-02 eta: 2 days, 10:11:59 time: 0.9255 data_time: 0.0307 memory: 11089 grad_norm: 3.8779 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0589 loss: 2.0589 2022/08/02 03:11:57 - mmengine - INFO - Epoch(train) [29][640/1879] lr: 2.0000e-02 eta: 2 days, 10:11:42 time: 0.9279 data_time: 0.0326 memory: 11089 grad_norm: 3.7917 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8337 loss: 1.8337 2022/08/02 03:12:16 - mmengine - INFO - Epoch(train) [29][660/1879] lr: 2.0000e-02 eta: 2 days, 10:11:25 time: 0.9289 data_time: 0.0316 memory: 11089 grad_norm: 3.8941 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8726 loss: 1.8726 2022/08/02 03:12:35 - mmengine - INFO - Epoch(train) [29][680/1879] lr: 2.0000e-02 eta: 2 days, 10:11:08 time: 0.9423 data_time: 0.0315 memory: 11089 grad_norm: 3.7901 top1_acc: 0.3125 top5_acc: 0.9375 loss_cls: 1.9400 loss: 1.9400 2022/08/02 03:12:53 - mmengine - INFO - Epoch(train) [29][700/1879] lr: 2.0000e-02 eta: 2 days, 10:10:51 time: 0.9282 data_time: 0.0308 memory: 11089 grad_norm: 3.9184 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9259 loss: 1.9259 2022/08/02 03:13:12 - mmengine - INFO - Epoch(train) [29][720/1879] lr: 2.0000e-02 eta: 2 days, 10:10:33 time: 0.9190 data_time: 0.0251 memory: 11089 grad_norm: 3.7857 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1539 loss: 2.1539 2022/08/02 03:13:30 - mmengine - INFO - Epoch(train) [29][740/1879] lr: 2.0000e-02 eta: 2 days, 10:10:14 time: 0.9061 data_time: 0.0342 memory: 11089 grad_norm: 3.8968 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0094 loss: 2.0094 2022/08/02 03:13:48 - mmengine - INFO - Epoch(train) [29][760/1879] lr: 2.0000e-02 eta: 2 days, 10:09:55 time: 0.9096 data_time: 0.0295 memory: 11089 grad_norm: 3.9130 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8940 loss: 1.8940 2022/08/02 03:14:06 - mmengine - INFO - Epoch(train) [29][780/1879] lr: 2.0000e-02 eta: 2 days, 10:09:35 time: 0.9020 data_time: 0.0260 memory: 11089 grad_norm: 3.8911 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2017 loss: 2.2017 2022/08/02 03:14:25 - mmengine - INFO - Epoch(train) [29][800/1879] lr: 2.0000e-02 eta: 2 days, 10:09:18 time: 0.9276 data_time: 0.0339 memory: 11089 grad_norm: 3.9325 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7962 loss: 1.7962 2022/08/02 03:14:44 - mmengine - INFO - Epoch(train) [29][820/1879] lr: 2.0000e-02 eta: 2 days, 10:09:01 time: 0.9349 data_time: 0.0272 memory: 11089 grad_norm: 3.8337 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1105 loss: 2.1105 2022/08/02 03:15:02 - mmengine - INFO - Epoch(train) [29][840/1879] lr: 2.0000e-02 eta: 2 days, 10:08:45 time: 0.9386 data_time: 0.0325 memory: 11089 grad_norm: 3.8199 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9778 loss: 1.9778 2022/08/02 03:15:20 - mmengine - INFO - Epoch(train) [29][860/1879] lr: 2.0000e-02 eta: 2 days, 10:08:26 time: 0.9068 data_time: 0.0241 memory: 11089 grad_norm: 3.8137 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8439 loss: 1.8439 2022/08/02 03:15:38 - mmengine - INFO - Epoch(train) [29][880/1879] lr: 2.0000e-02 eta: 2 days, 10:08:06 time: 0.9020 data_time: 0.0232 memory: 11089 grad_norm: 3.8190 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0349 loss: 2.0349 2022/08/02 03:15:57 - mmengine - INFO - Epoch(train) [29][900/1879] lr: 2.0000e-02 eta: 2 days, 10:07:48 time: 0.9244 data_time: 0.0252 memory: 11089 grad_norm: 3.9804 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9245 loss: 1.9245 2022/08/02 03:16:15 - mmengine - INFO - Epoch(train) [29][920/1879] lr: 2.0000e-02 eta: 2 days, 10:07:31 time: 0.9258 data_time: 0.0292 memory: 11089 grad_norm: 3.8600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9110 loss: 1.9110 2022/08/02 03:16:34 - mmengine - INFO - Epoch(train) [29][940/1879] lr: 2.0000e-02 eta: 2 days, 10:07:15 time: 0.9415 data_time: 0.0299 memory: 11089 grad_norm: 3.8031 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9551 loss: 1.9551 2022/08/02 03:16:52 - mmengine - INFO - Epoch(train) [29][960/1879] lr: 2.0000e-02 eta: 2 days, 10:06:55 time: 0.9047 data_time: 0.0223 memory: 11089 grad_norm: 3.8594 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8421 loss: 1.8421 2022/08/02 03:17:11 - mmengine - INFO - Epoch(train) [29][980/1879] lr: 2.0000e-02 eta: 2 days, 10:06:40 time: 0.9493 data_time: 0.0278 memory: 11089 grad_norm: 3.8556 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7682 loss: 1.7682 2022/08/02 03:17:30 - mmengine - INFO - Epoch(train) [29][1000/1879] lr: 2.0000e-02 eta: 2 days, 10:06:21 time: 0.9134 data_time: 0.0349 memory: 11089 grad_norm: 3.8620 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0651 loss: 2.0651 2022/08/02 03:17:48 - mmengine - INFO - Epoch(train) [29][1020/1879] lr: 2.0000e-02 eta: 2 days, 10:06:04 time: 0.9278 data_time: 0.0262 memory: 11089 grad_norm: 3.8316 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1015 loss: 2.1015 2022/08/02 03:18:07 - mmengine - INFO - Epoch(train) [29][1040/1879] lr: 2.0000e-02 eta: 2 days, 10:05:46 time: 0.9265 data_time: 0.0405 memory: 11089 grad_norm: 3.8509 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1291 loss: 2.1291 2022/08/02 03:18:25 - mmengine - INFO - Epoch(train) [29][1060/1879] lr: 2.0000e-02 eta: 2 days, 10:05:29 time: 0.9258 data_time: 0.0354 memory: 11089 grad_norm: 3.8134 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8298 loss: 1.8298 2022/08/02 03:18:44 - mmengine - INFO - Epoch(train) [29][1080/1879] lr: 2.0000e-02 eta: 2 days, 10:05:10 time: 0.9172 data_time: 0.0283 memory: 11089 grad_norm: 3.8495 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0042 loss: 2.0042 2022/08/02 03:19:02 - mmengine - INFO - Epoch(train) [29][1100/1879] lr: 2.0000e-02 eta: 2 days, 10:04:52 time: 0.9187 data_time: 0.0351 memory: 11089 grad_norm: 3.8321 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0665 loss: 2.0665 2022/08/02 03:19:20 - mmengine - INFO - Epoch(train) [29][1120/1879] lr: 2.0000e-02 eta: 2 days, 10:04:33 time: 0.9044 data_time: 0.0246 memory: 11089 grad_norm: 3.8496 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0524 loss: 2.0524 2022/08/02 03:19:38 - mmengine - INFO - Epoch(train) [29][1140/1879] lr: 2.0000e-02 eta: 2 days, 10:04:14 time: 0.9038 data_time: 0.0277 memory: 11089 grad_norm: 3.8372 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9866 loss: 1.9866 2022/08/02 03:19:56 - mmengine - INFO - Epoch(train) [29][1160/1879] lr: 2.0000e-02 eta: 2 days, 10:03:55 time: 0.9107 data_time: 0.0249 memory: 11089 grad_norm: 3.8809 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0513 loss: 2.0513 2022/08/02 03:20:14 - mmengine - INFO - Epoch(train) [29][1180/1879] lr: 2.0000e-02 eta: 2 days, 10:03:35 time: 0.8969 data_time: 0.0286 memory: 11089 grad_norm: 3.9067 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0929 loss: 2.0929 2022/08/02 03:20:32 - mmengine - INFO - Epoch(train) [29][1200/1879] lr: 2.0000e-02 eta: 2 days, 10:03:16 time: 0.9089 data_time: 0.0216 memory: 11089 grad_norm: 3.8912 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1288 loss: 2.1288 2022/08/02 03:20:51 - mmengine - INFO - Epoch(train) [29][1220/1879] lr: 2.0000e-02 eta: 2 days, 10:02:58 time: 0.9220 data_time: 0.0277 memory: 11089 grad_norm: 3.9039 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1058 loss: 2.1058 2022/08/02 03:21:09 - mmengine - INFO - Epoch(train) [29][1240/1879] lr: 2.0000e-02 eta: 2 days, 10:02:40 time: 0.9236 data_time: 0.0360 memory: 11089 grad_norm: 3.8631 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0309 loss: 2.0309 2022/08/02 03:21:27 - mmengine - INFO - Epoch(train) [29][1260/1879] lr: 2.0000e-02 eta: 2 days, 10:02:20 time: 0.8937 data_time: 0.0253 memory: 11089 grad_norm: 3.9066 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9634 loss: 1.9634 2022/08/02 03:21:46 - mmengine - INFO - Epoch(train) [29][1280/1879] lr: 2.0000e-02 eta: 2 days, 10:02:02 time: 0.9228 data_time: 0.0253 memory: 11089 grad_norm: 3.8696 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9686 loss: 1.9686 2022/08/02 03:22:03 - mmengine - INFO - Epoch(train) [29][1300/1879] lr: 2.0000e-02 eta: 2 days, 10:01:40 time: 0.8766 data_time: 0.0179 memory: 11089 grad_norm: 3.9506 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9628 loss: 1.9628 2022/08/02 03:22:22 - mmengine - INFO - Epoch(train) [29][1320/1879] lr: 2.0000e-02 eta: 2 days, 10:01:22 time: 0.9210 data_time: 0.0283 memory: 11089 grad_norm: 3.8633 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.1521 loss: 2.1521 2022/08/02 03:22:40 - mmengine - INFO - Epoch(train) [29][1340/1879] lr: 2.0000e-02 eta: 2 days, 10:01:05 time: 0.9243 data_time: 0.0290 memory: 11089 grad_norm: 3.8928 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0865 loss: 2.0865 2022/08/02 03:22:58 - mmengine - INFO - Epoch(train) [29][1360/1879] lr: 2.0000e-02 eta: 2 days, 10:00:46 time: 0.9097 data_time: 0.0337 memory: 11089 grad_norm: 3.8348 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8936 loss: 1.8936 2022/08/02 03:23:17 - mmengine - INFO - Epoch(train) [29][1380/1879] lr: 2.0000e-02 eta: 2 days, 10:00:29 time: 0.9376 data_time: 0.0267 memory: 11089 grad_norm: 3.8595 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0310 loss: 2.0310 2022/08/02 03:23:25 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 03:23:35 - mmengine - INFO - Epoch(train) [29][1400/1879] lr: 2.0000e-02 eta: 2 days, 10:00:11 time: 0.9169 data_time: 0.0248 memory: 11089 grad_norm: 3.8069 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0427 loss: 2.0427 2022/08/02 03:23:54 - mmengine - INFO - Epoch(train) [29][1420/1879] lr: 2.0000e-02 eta: 2 days, 9:59:53 time: 0.9170 data_time: 0.0224 memory: 11089 grad_norm: 3.9191 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1117 loss: 2.1117 2022/08/02 03:24:12 - mmengine - INFO - Epoch(train) [29][1440/1879] lr: 2.0000e-02 eta: 2 days, 9:59:35 time: 0.9195 data_time: 0.0341 memory: 11089 grad_norm: 3.7407 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.8528 loss: 1.8528 2022/08/02 03:24:30 - mmengine - INFO - Epoch(train) [29][1460/1879] lr: 2.0000e-02 eta: 2 days, 9:59:16 time: 0.9082 data_time: 0.0275 memory: 11089 grad_norm: 3.8411 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0517 loss: 2.0517 2022/08/02 03:24:49 - mmengine - INFO - Epoch(train) [29][1480/1879] lr: 2.0000e-02 eta: 2 days, 9:59:00 time: 0.9435 data_time: 0.0276 memory: 11089 grad_norm: 3.9488 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1538 loss: 2.1538 2022/08/02 03:25:08 - mmengine - INFO - Epoch(train) [29][1500/1879] lr: 2.0000e-02 eta: 2 days, 9:58:42 time: 0.9273 data_time: 0.0343 memory: 11089 grad_norm: 3.8600 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9889 loss: 1.9889 2022/08/02 03:25:26 - mmengine - INFO - Epoch(train) [29][1520/1879] lr: 2.0000e-02 eta: 2 days, 9:58:24 time: 0.9207 data_time: 0.0272 memory: 11089 grad_norm: 3.7752 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2017 loss: 2.2017 2022/08/02 03:25:44 - mmengine - INFO - Epoch(train) [29][1540/1879] lr: 2.0000e-02 eta: 2 days, 9:58:05 time: 0.9006 data_time: 0.0259 memory: 11089 grad_norm: 3.7828 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0076 loss: 2.0076 2022/08/02 03:26:02 - mmengine - INFO - Epoch(train) [29][1560/1879] lr: 2.0000e-02 eta: 2 days, 9:57:46 time: 0.9086 data_time: 0.0263 memory: 11089 grad_norm: 3.8384 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8828 loss: 1.8828 2022/08/02 03:26:20 - mmengine - INFO - Epoch(train) [29][1580/1879] lr: 2.0000e-02 eta: 2 days, 9:57:26 time: 0.9069 data_time: 0.0232 memory: 11089 grad_norm: 3.8013 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9356 loss: 1.9356 2022/08/02 03:26:39 - mmengine - INFO - Epoch(train) [29][1600/1879] lr: 2.0000e-02 eta: 2 days, 9:57:09 time: 0.9326 data_time: 0.0299 memory: 11089 grad_norm: 3.8927 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0765 loss: 2.0765 2022/08/02 03:26:58 - mmengine - INFO - Epoch(train) [29][1620/1879] lr: 2.0000e-02 eta: 2 days, 9:56:52 time: 0.9253 data_time: 0.0297 memory: 11089 grad_norm: 3.8430 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0354 loss: 2.0354 2022/08/02 03:27:17 - mmengine - INFO - Epoch(train) [29][1640/1879] lr: 2.0000e-02 eta: 2 days, 9:56:36 time: 0.9468 data_time: 0.0389 memory: 11089 grad_norm: 3.8154 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9168 loss: 1.9168 2022/08/02 03:27:36 - mmengine - INFO - Epoch(train) [29][1660/1879] lr: 2.0000e-02 eta: 2 days, 9:56:21 time: 0.9543 data_time: 0.0296 memory: 11089 grad_norm: 3.8111 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0061 loss: 2.0061 2022/08/02 03:27:54 - mmengine - INFO - Epoch(train) [29][1680/1879] lr: 2.0000e-02 eta: 2 days, 9:56:03 time: 0.9227 data_time: 0.0300 memory: 11089 grad_norm: 3.8634 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9801 loss: 1.9801 2022/08/02 03:28:12 - mmengine - INFO - Epoch(train) [29][1700/1879] lr: 2.0000e-02 eta: 2 days, 9:55:44 time: 0.9113 data_time: 0.0284 memory: 11089 grad_norm: 3.9437 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0649 loss: 2.0649 2022/08/02 03:28:31 - mmengine - INFO - Epoch(train) [29][1720/1879] lr: 2.0000e-02 eta: 2 days, 9:55:27 time: 0.9260 data_time: 0.0278 memory: 11089 grad_norm: 3.9119 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8275 loss: 1.8275 2022/08/02 03:28:49 - mmengine - INFO - Epoch(train) [29][1740/1879] lr: 2.0000e-02 eta: 2 days, 9:55:09 time: 0.9212 data_time: 0.0255 memory: 11089 grad_norm: 3.8847 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9605 loss: 1.9605 2022/08/02 03:29:08 - mmengine - INFO - Epoch(train) [29][1760/1879] lr: 2.0000e-02 eta: 2 days, 9:54:51 time: 0.9190 data_time: 0.0386 memory: 11089 grad_norm: 3.8264 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0531 loss: 2.0531 2022/08/02 03:29:26 - mmengine - INFO - Epoch(train) [29][1780/1879] lr: 2.0000e-02 eta: 2 days, 9:54:33 time: 0.9230 data_time: 0.0274 memory: 11089 grad_norm: 3.8701 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9943 loss: 1.9943 2022/08/02 03:29:44 - mmengine - INFO - Epoch(train) [29][1800/1879] lr: 2.0000e-02 eta: 2 days, 9:54:13 time: 0.9008 data_time: 0.0240 memory: 11089 grad_norm: 3.8695 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9866 loss: 1.9866 2022/08/02 03:30:03 - mmengine - INFO - Epoch(train) [29][1820/1879] lr: 2.0000e-02 eta: 2 days, 9:53:55 time: 0.9195 data_time: 0.0284 memory: 11089 grad_norm: 3.9004 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9187 loss: 1.9187 2022/08/02 03:30:21 - mmengine - INFO - Epoch(train) [29][1840/1879] lr: 2.0000e-02 eta: 2 days, 9:53:38 time: 0.9341 data_time: 0.0288 memory: 11089 grad_norm: 3.8820 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8884 loss: 1.8884 2022/08/02 03:30:40 - mmengine - INFO - Epoch(train) [29][1860/1879] lr: 2.0000e-02 eta: 2 days, 9:53:22 time: 0.9376 data_time: 0.0320 memory: 11089 grad_norm: 3.9870 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1372 loss: 2.1372 2022/08/02 03:30:57 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 03:30:57 - mmengine - INFO - Epoch(train) [29][1879/1879] lr: 2.0000e-02 eta: 2 days, 9:53:22 time: 0.9221 data_time: 0.0285 memory: 11089 grad_norm: 3.9483 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.9726 loss: 1.9726 2022/08/02 03:31:18 - mmengine - INFO - Epoch(train) [30][20/1879] lr: 2.0000e-02 eta: 2 days, 9:51:40 time: 0.9994 data_time: 0.1235 memory: 11089 grad_norm: 3.8178 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9624 loss: 1.9624 2022/08/02 03:31:37 - mmengine - INFO - Epoch(train) [30][40/1879] lr: 2.0000e-02 eta: 2 days, 9:51:25 time: 0.9525 data_time: 0.0326 memory: 11089 grad_norm: 3.8329 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9054 loss: 1.9054 2022/08/02 03:31:55 - mmengine - INFO - Epoch(train) [30][60/1879] lr: 2.0000e-02 eta: 2 days, 9:51:07 time: 0.9174 data_time: 0.0294 memory: 11089 grad_norm: 3.7718 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1369 loss: 2.1369 2022/08/02 03:32:13 - mmengine - INFO - Epoch(train) [30][80/1879] lr: 2.0000e-02 eta: 2 days, 9:50:48 time: 0.9121 data_time: 0.0253 memory: 11089 grad_norm: 3.8866 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8260 loss: 1.8260 2022/08/02 03:32:32 - mmengine - INFO - Epoch(train) [30][100/1879] lr: 2.0000e-02 eta: 2 days, 9:50:30 time: 0.9158 data_time: 0.0283 memory: 11089 grad_norm: 3.8199 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8789 loss: 1.8789 2022/08/02 03:32:50 - mmengine - INFO - Epoch(train) [30][120/1879] lr: 2.0000e-02 eta: 2 days, 9:50:12 time: 0.9272 data_time: 0.0251 memory: 11089 grad_norm: 3.8904 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9495 loss: 1.9495 2022/08/02 03:33:08 - mmengine - INFO - Epoch(train) [30][140/1879] lr: 2.0000e-02 eta: 2 days, 9:49:54 time: 0.9195 data_time: 0.0315 memory: 11089 grad_norm: 3.8836 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0717 loss: 2.0717 2022/08/02 03:33:27 - mmengine - INFO - Epoch(train) [30][160/1879] lr: 2.0000e-02 eta: 2 days, 9:49:36 time: 0.9180 data_time: 0.0269 memory: 11089 grad_norm: 3.7604 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6766 loss: 1.6766 2022/08/02 03:33:45 - mmengine - INFO - Epoch(train) [30][180/1879] lr: 2.0000e-02 eta: 2 days, 9:49:17 time: 0.9134 data_time: 0.0295 memory: 11089 grad_norm: 3.8003 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8477 loss: 1.8477 2022/08/02 03:34:03 - mmengine - INFO - Epoch(train) [30][200/1879] lr: 2.0000e-02 eta: 2 days, 9:48:59 time: 0.9103 data_time: 0.0247 memory: 11089 grad_norm: 3.8812 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9540 loss: 1.9540 2022/08/02 03:34:22 - mmengine - INFO - Epoch(train) [30][220/1879] lr: 2.0000e-02 eta: 2 days, 9:48:41 time: 0.9225 data_time: 0.0274 memory: 11089 grad_norm: 3.9033 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9276 loss: 1.9276 2022/08/02 03:34:40 - mmengine - INFO - Epoch(train) [30][240/1879] lr: 2.0000e-02 eta: 2 days, 9:48:23 time: 0.9242 data_time: 0.0294 memory: 11089 grad_norm: 3.8281 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8868 loss: 1.8868 2022/08/02 03:34:59 - mmengine - INFO - Epoch(train) [30][260/1879] lr: 2.0000e-02 eta: 2 days, 9:48:06 time: 0.9307 data_time: 0.0329 memory: 11089 grad_norm: 3.9013 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0816 loss: 2.0816 2022/08/02 03:35:17 - mmengine - INFO - Epoch(train) [30][280/1879] lr: 2.0000e-02 eta: 2 days, 9:47:49 time: 0.9273 data_time: 0.0342 memory: 11089 grad_norm: 3.9476 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0653 loss: 2.0653 2022/08/02 03:35:36 - mmengine - INFO - Epoch(train) [30][300/1879] lr: 2.0000e-02 eta: 2 days, 9:47:30 time: 0.9116 data_time: 0.0235 memory: 11089 grad_norm: 3.8005 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.0284 loss: 2.0284 2022/08/02 03:35:54 - mmengine - INFO - Epoch(train) [30][320/1879] lr: 2.0000e-02 eta: 2 days, 9:47:12 time: 0.9203 data_time: 0.0340 memory: 11089 grad_norm: 3.8616 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9322 loss: 1.9322 2022/08/02 03:36:12 - mmengine - INFO - Epoch(train) [30][340/1879] lr: 2.0000e-02 eta: 2 days, 9:46:54 time: 0.9157 data_time: 0.0342 memory: 11089 grad_norm: 3.8470 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9298 loss: 1.9298 2022/08/02 03:36:31 - mmengine - INFO - Epoch(train) [30][360/1879] lr: 2.0000e-02 eta: 2 days, 9:46:36 time: 0.9265 data_time: 0.0233 memory: 11089 grad_norm: 3.9337 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7588 loss: 1.7588 2022/08/02 03:36:49 - mmengine - INFO - Epoch(train) [30][380/1879] lr: 2.0000e-02 eta: 2 days, 9:46:17 time: 0.9108 data_time: 0.0297 memory: 11089 grad_norm: 3.8427 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0304 loss: 2.0304 2022/08/02 03:37:08 - mmengine - INFO - Epoch(train) [30][400/1879] lr: 2.0000e-02 eta: 2 days, 9:46:01 time: 0.9421 data_time: 0.0289 memory: 11089 grad_norm: 3.8759 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.0164 loss: 2.0164 2022/08/02 03:37:27 - mmengine - INFO - Epoch(train) [30][420/1879] lr: 2.0000e-02 eta: 2 days, 9:45:44 time: 0.9322 data_time: 0.0275 memory: 11089 grad_norm: 3.8991 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1091 loss: 2.1091 2022/08/02 03:37:45 - mmengine - INFO - Epoch(train) [30][440/1879] lr: 2.0000e-02 eta: 2 days, 9:45:26 time: 0.9135 data_time: 0.0240 memory: 11089 grad_norm: 3.7527 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9337 loss: 1.9337 2022/08/02 03:38:03 - mmengine - INFO - Epoch(train) [30][460/1879] lr: 2.0000e-02 eta: 2 days, 9:45:07 time: 0.9082 data_time: 0.0263 memory: 11089 grad_norm: 3.8510 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9042 loss: 1.9042 2022/08/02 03:38:22 - mmengine - INFO - Epoch(train) [30][480/1879] lr: 2.0000e-02 eta: 2 days, 9:44:48 time: 0.9194 data_time: 0.0266 memory: 11089 grad_norm: 3.8244 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0568 loss: 2.0568 2022/08/02 03:38:40 - mmengine - INFO - Epoch(train) [30][500/1879] lr: 2.0000e-02 eta: 2 days, 9:44:31 time: 0.9305 data_time: 0.0337 memory: 11089 grad_norm: 3.8424 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8372 loss: 1.8372 2022/08/02 03:38:48 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 03:38:58 - mmengine - INFO - Epoch(train) [30][520/1879] lr: 2.0000e-02 eta: 2 days, 9:44:12 time: 0.9078 data_time: 0.0252 memory: 11089 grad_norm: 3.9037 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8833 loss: 1.8833 2022/08/02 03:39:17 - mmengine - INFO - Epoch(train) [30][540/1879] lr: 2.0000e-02 eta: 2 days, 9:43:55 time: 0.9258 data_time: 0.0270 memory: 11089 grad_norm: 3.7853 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9364 loss: 1.9364 2022/08/02 03:39:35 - mmengine - INFO - Epoch(train) [30][560/1879] lr: 2.0000e-02 eta: 2 days, 9:43:36 time: 0.9102 data_time: 0.0263 memory: 11089 grad_norm: 3.8836 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.0189 loss: 2.0189 2022/08/02 03:39:53 - mmengine - INFO - Epoch(train) [30][580/1879] lr: 2.0000e-02 eta: 2 days, 9:43:17 time: 0.9085 data_time: 0.0269 memory: 11089 grad_norm: 3.9175 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0984 loss: 2.0984 2022/08/02 03:40:12 - mmengine - INFO - Epoch(train) [30][600/1879] lr: 2.0000e-02 eta: 2 days, 9:42:59 time: 0.9249 data_time: 0.0310 memory: 11089 grad_norm: 3.8653 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0315 loss: 2.0315 2022/08/02 03:40:31 - mmengine - INFO - Epoch(train) [30][620/1879] lr: 2.0000e-02 eta: 2 days, 9:42:44 time: 0.9544 data_time: 0.0364 memory: 11089 grad_norm: 3.8478 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1306 loss: 2.1306 2022/08/02 03:40:49 - mmengine - INFO - Epoch(train) [30][640/1879] lr: 2.0000e-02 eta: 2 days, 9:42:26 time: 0.9209 data_time: 0.0286 memory: 11089 grad_norm: 3.9153 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7620 loss: 1.7620 2022/08/02 03:41:08 - mmengine - INFO - Epoch(train) [30][660/1879] lr: 2.0000e-02 eta: 2 days, 9:42:09 time: 0.9293 data_time: 0.0265 memory: 11089 grad_norm: 3.7443 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9051 loss: 1.9051 2022/08/02 03:41:26 - mmengine - INFO - Epoch(train) [30][680/1879] lr: 2.0000e-02 eta: 2 days, 9:41:52 time: 0.9332 data_time: 0.0242 memory: 11089 grad_norm: 3.8803 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8606 loss: 1.8606 2022/08/02 03:41:44 - mmengine - INFO - Epoch(train) [30][700/1879] lr: 2.0000e-02 eta: 2 days, 9:41:32 time: 0.8932 data_time: 0.0200 memory: 11089 grad_norm: 3.8576 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8629 loss: 1.8629 2022/08/02 03:42:03 - mmengine - INFO - Epoch(train) [30][720/1879] lr: 2.0000e-02 eta: 2 days, 9:41:15 time: 0.9362 data_time: 0.0325 memory: 11089 grad_norm: 3.8769 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8256 loss: 1.8256 2022/08/02 03:42:21 - mmengine - INFO - Epoch(train) [30][740/1879] lr: 2.0000e-02 eta: 2 days, 9:40:56 time: 0.9099 data_time: 0.0243 memory: 11089 grad_norm: 3.9145 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9279 loss: 1.9279 2022/08/02 03:42:39 - mmengine - INFO - Epoch(train) [30][760/1879] lr: 2.0000e-02 eta: 2 days, 9:40:38 time: 0.9134 data_time: 0.0290 memory: 11089 grad_norm: 3.8978 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8961 loss: 1.8961 2022/08/02 03:42:58 - mmengine - INFO - Epoch(train) [30][780/1879] lr: 2.0000e-02 eta: 2 days, 9:40:19 time: 0.9064 data_time: 0.0291 memory: 11089 grad_norm: 3.8881 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0325 loss: 2.0325 2022/08/02 03:43:16 - mmengine - INFO - Epoch(train) [30][800/1879] lr: 2.0000e-02 eta: 2 days, 9:40:00 time: 0.9172 data_time: 0.0249 memory: 11089 grad_norm: 3.9282 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8691 loss: 1.8691 2022/08/02 03:43:35 - mmengine - INFO - Epoch(train) [30][820/1879] lr: 2.0000e-02 eta: 2 days, 9:39:44 time: 0.9450 data_time: 0.0366 memory: 11089 grad_norm: 3.7336 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8874 loss: 1.8874 2022/08/02 03:43:53 - mmengine - INFO - Epoch(train) [30][840/1879] lr: 2.0000e-02 eta: 2 days, 9:39:25 time: 0.9033 data_time: 0.0255 memory: 11089 grad_norm: 3.8084 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0230 loss: 2.0230 2022/08/02 03:44:11 - mmengine - INFO - Epoch(train) [30][860/1879] lr: 2.0000e-02 eta: 2 days, 9:39:07 time: 0.9193 data_time: 0.0236 memory: 11089 grad_norm: 3.7384 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8760 loss: 1.8760 2022/08/02 03:44:29 - mmengine - INFO - Epoch(train) [30][880/1879] lr: 2.0000e-02 eta: 2 days, 9:38:48 time: 0.9087 data_time: 0.0322 memory: 11089 grad_norm: 3.8157 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8468 loss: 1.8468 2022/08/02 03:44:47 - mmengine - INFO - Epoch(train) [30][900/1879] lr: 2.0000e-02 eta: 2 days, 9:38:28 time: 0.9017 data_time: 0.0275 memory: 11089 grad_norm: 3.8588 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8520 loss: 1.8520 2022/08/02 03:45:06 - mmengine - INFO - Epoch(train) [30][920/1879] lr: 2.0000e-02 eta: 2 days, 9:38:10 time: 0.9099 data_time: 0.0305 memory: 11089 grad_norm: 3.9945 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8433 loss: 1.8433 2022/08/02 03:45:24 - mmengine - INFO - Epoch(train) [30][940/1879] lr: 2.0000e-02 eta: 2 days, 9:37:52 time: 0.9317 data_time: 0.0302 memory: 11089 grad_norm: 3.8940 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1876 loss: 2.1876 2022/08/02 03:45:43 - mmengine - INFO - Epoch(train) [30][960/1879] lr: 2.0000e-02 eta: 2 days, 9:37:34 time: 0.9188 data_time: 0.0269 memory: 11089 grad_norm: 3.8002 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0840 loss: 2.0840 2022/08/02 03:46:01 - mmengine - INFO - Epoch(train) [30][980/1879] lr: 2.0000e-02 eta: 2 days, 9:37:17 time: 0.9315 data_time: 0.0316 memory: 11089 grad_norm: 3.8515 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8741 loss: 1.8741 2022/08/02 03:46:20 - mmengine - INFO - Epoch(train) [30][1000/1879] lr: 2.0000e-02 eta: 2 days, 9:36:59 time: 0.9146 data_time: 0.0222 memory: 11089 grad_norm: 3.8998 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9373 loss: 1.9373 2022/08/02 03:46:39 - mmengine - INFO - Epoch(train) [30][1020/1879] lr: 2.0000e-02 eta: 2 days, 9:36:43 time: 0.9492 data_time: 0.0332 memory: 11089 grad_norm: 3.7989 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8034 loss: 1.8034 2022/08/02 03:46:57 - mmengine - INFO - Epoch(train) [30][1040/1879] lr: 2.0000e-02 eta: 2 days, 9:36:27 time: 0.9430 data_time: 0.0322 memory: 11089 grad_norm: 3.8725 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0480 loss: 2.0480 2022/08/02 03:47:16 - mmengine - INFO - Epoch(train) [30][1060/1879] lr: 2.0000e-02 eta: 2 days, 9:36:09 time: 0.9160 data_time: 0.0283 memory: 11089 grad_norm: 3.8551 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0077 loss: 2.0077 2022/08/02 03:47:34 - mmengine - INFO - Epoch(train) [30][1080/1879] lr: 2.0000e-02 eta: 2 days, 9:35:51 time: 0.9256 data_time: 0.0353 memory: 11089 grad_norm: 3.8798 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1198 loss: 2.1198 2022/08/02 03:47:53 - mmengine - INFO - Epoch(train) [30][1100/1879] lr: 2.0000e-02 eta: 2 days, 9:35:33 time: 0.9198 data_time: 0.0278 memory: 11089 grad_norm: 3.9072 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8926 loss: 1.8926 2022/08/02 03:48:11 - mmengine - INFO - Epoch(train) [30][1120/1879] lr: 2.0000e-02 eta: 2 days, 9:35:15 time: 0.9190 data_time: 0.0287 memory: 11089 grad_norm: 3.8457 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7642 loss: 1.7642 2022/08/02 03:48:30 - mmengine - INFO - Epoch(train) [30][1140/1879] lr: 2.0000e-02 eta: 2 days, 9:34:59 time: 0.9423 data_time: 0.0351 memory: 11089 grad_norm: 3.8678 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0190 loss: 2.0190 2022/08/02 03:48:49 - mmengine - INFO - Epoch(train) [30][1160/1879] lr: 2.0000e-02 eta: 2 days, 9:34:43 time: 0.9461 data_time: 0.0264 memory: 11089 grad_norm: 3.9188 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.0371 loss: 2.0371 2022/08/02 03:49:07 - mmengine - INFO - Epoch(train) [30][1180/1879] lr: 2.0000e-02 eta: 2 days, 9:34:25 time: 0.9175 data_time: 0.0294 memory: 11089 grad_norm: 3.9648 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1019 loss: 2.1019 2022/08/02 03:49:25 - mmengine - INFO - Epoch(train) [30][1200/1879] lr: 2.0000e-02 eta: 2 days, 9:34:05 time: 0.9067 data_time: 0.0220 memory: 11089 grad_norm: 3.7455 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8213 loss: 1.8213 2022/08/02 03:49:44 - mmengine - INFO - Epoch(train) [30][1220/1879] lr: 2.0000e-02 eta: 2 days, 9:33:48 time: 0.9281 data_time: 0.0293 memory: 11089 grad_norm: 3.9314 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0973 loss: 2.0973 2022/08/02 03:50:03 - mmengine - INFO - Epoch(train) [30][1240/1879] lr: 2.0000e-02 eta: 2 days, 9:33:31 time: 0.9334 data_time: 0.0370 memory: 11089 grad_norm: 3.9136 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8282 loss: 1.8282 2022/08/02 03:50:21 - mmengine - INFO - Epoch(train) [30][1260/1879] lr: 2.0000e-02 eta: 2 days, 9:33:14 time: 0.9292 data_time: 0.0316 memory: 11089 grad_norm: 3.9032 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9993 loss: 1.9993 2022/08/02 03:50:40 - mmengine - INFO - Epoch(train) [30][1280/1879] lr: 2.0000e-02 eta: 2 days, 9:32:56 time: 0.9202 data_time: 0.0293 memory: 11089 grad_norm: 3.8302 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1936 loss: 2.1936 2022/08/02 03:50:58 - mmengine - INFO - Epoch(train) [30][1300/1879] lr: 2.0000e-02 eta: 2 days, 9:32:40 time: 0.9460 data_time: 0.0314 memory: 11089 grad_norm: 3.8841 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9492 loss: 1.9492 2022/08/02 03:51:16 - mmengine - INFO - Epoch(train) [30][1320/1879] lr: 2.0000e-02 eta: 2 days, 9:32:20 time: 0.8994 data_time: 0.0336 memory: 11089 grad_norm: 3.8779 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0670 loss: 2.0670 2022/08/02 03:51:35 - mmengine - INFO - Epoch(train) [30][1340/1879] lr: 2.0000e-02 eta: 2 days, 9:32:03 time: 0.9317 data_time: 0.0267 memory: 11089 grad_norm: 3.8607 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9093 loss: 1.9093 2022/08/02 03:51:54 - mmengine - INFO - Epoch(train) [30][1360/1879] lr: 2.0000e-02 eta: 2 days, 9:31:45 time: 0.9232 data_time: 0.0331 memory: 11089 grad_norm: 3.7297 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0856 loss: 2.0856 2022/08/02 03:52:12 - mmengine - INFO - Epoch(train) [30][1380/1879] lr: 2.0000e-02 eta: 2 days, 9:31:27 time: 0.9231 data_time: 0.0249 memory: 11089 grad_norm: 3.8454 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9828 loss: 1.9828 2022/08/02 03:52:30 - mmengine - INFO - Epoch(train) [30][1400/1879] lr: 2.0000e-02 eta: 2 days, 9:31:08 time: 0.9031 data_time: 0.0245 memory: 11089 grad_norm: 3.8017 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0373 loss: 2.0373 2022/08/02 03:52:48 - mmengine - INFO - Epoch(train) [30][1420/1879] lr: 2.0000e-02 eta: 2 days, 9:30:49 time: 0.9113 data_time: 0.0244 memory: 11089 grad_norm: 3.7153 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9262 loss: 1.9262 2022/08/02 03:53:06 - mmengine - INFO - Epoch(train) [30][1440/1879] lr: 2.0000e-02 eta: 2 days, 9:30:30 time: 0.9027 data_time: 0.0275 memory: 11089 grad_norm: 3.8199 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9557 loss: 1.9557 2022/08/02 03:53:25 - mmengine - INFO - Epoch(train) [30][1460/1879] lr: 2.0000e-02 eta: 2 days, 9:30:11 time: 0.9112 data_time: 0.0313 memory: 11089 grad_norm: 3.8930 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1201 loss: 2.1201 2022/08/02 03:53:43 - mmengine - INFO - Epoch(train) [30][1480/1879] lr: 2.0000e-02 eta: 2 days, 9:29:53 time: 0.9246 data_time: 0.0358 memory: 11089 grad_norm: 3.8821 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0348 loss: 2.0348 2022/08/02 03:54:02 - mmengine - INFO - Epoch(train) [30][1500/1879] lr: 2.0000e-02 eta: 2 days, 9:29:36 time: 0.9228 data_time: 0.0329 memory: 11089 grad_norm: 3.8297 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8867 loss: 1.8867 2022/08/02 03:54:10 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 03:54:20 - mmengine - INFO - Epoch(train) [30][1520/1879] lr: 2.0000e-02 eta: 2 days, 9:29:17 time: 0.9116 data_time: 0.0306 memory: 11089 grad_norm: 3.8031 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7005 loss: 1.7005 2022/08/02 03:54:38 - mmengine - INFO - Epoch(train) [30][1540/1879] lr: 2.0000e-02 eta: 2 days, 9:28:56 time: 0.8880 data_time: 0.0275 memory: 11089 grad_norm: 3.8605 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0410 loss: 2.0410 2022/08/02 03:54:56 - mmengine - INFO - Epoch(train) [30][1560/1879] lr: 2.0000e-02 eta: 2 days, 9:28:38 time: 0.9141 data_time: 0.0296 memory: 11089 grad_norm: 3.9704 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0077 loss: 2.0077 2022/08/02 03:55:15 - mmengine - INFO - Epoch(train) [30][1580/1879] lr: 2.0000e-02 eta: 2 days, 9:28:22 time: 0.9488 data_time: 0.0225 memory: 11089 grad_norm: 3.9189 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9843 loss: 1.9843 2022/08/02 03:55:33 - mmengine - INFO - Epoch(train) [30][1600/1879] lr: 2.0000e-02 eta: 2 days, 9:28:04 time: 0.9162 data_time: 0.0260 memory: 11089 grad_norm: 3.8657 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9679 loss: 1.9679 2022/08/02 03:55:52 - mmengine - INFO - Epoch(train) [30][1620/1879] lr: 2.0000e-02 eta: 2 days, 9:27:47 time: 0.9342 data_time: 0.0241 memory: 11089 grad_norm: 3.8896 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0287 loss: 2.0287 2022/08/02 03:56:10 - mmengine - INFO - Epoch(train) [30][1640/1879] lr: 2.0000e-02 eta: 2 days, 9:27:30 time: 0.9314 data_time: 0.0370 memory: 11089 grad_norm: 3.7787 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8063 loss: 1.8063 2022/08/02 03:56:30 - mmengine - INFO - Epoch(train) [30][1660/1879] lr: 2.0000e-02 eta: 2 days, 9:27:15 time: 0.9589 data_time: 0.0302 memory: 11089 grad_norm: 3.8330 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8954 loss: 1.8954 2022/08/02 03:56:48 - mmengine - INFO - Epoch(train) [30][1680/1879] lr: 2.0000e-02 eta: 2 days, 9:26:58 time: 0.9406 data_time: 0.0349 memory: 11089 grad_norm: 3.8785 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9057 loss: 1.9057 2022/08/02 03:57:07 - mmengine - INFO - Epoch(train) [30][1700/1879] lr: 2.0000e-02 eta: 2 days, 9:26:41 time: 0.9232 data_time: 0.0285 memory: 11089 grad_norm: 3.8047 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.9608 loss: 1.9608 2022/08/02 03:57:26 - mmengine - INFO - Epoch(train) [30][1720/1879] lr: 2.0000e-02 eta: 2 days, 9:26:25 time: 0.9467 data_time: 0.0291 memory: 11089 grad_norm: 3.8016 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.8806 loss: 1.8806 2022/08/02 03:57:44 - mmengine - INFO - Epoch(train) [30][1740/1879] lr: 2.0000e-02 eta: 2 days, 9:26:06 time: 0.9166 data_time: 0.0256 memory: 11089 grad_norm: 3.8946 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2283 loss: 2.2283 2022/08/02 03:58:03 - mmengine - INFO - Epoch(train) [30][1760/1879] lr: 2.0000e-02 eta: 2 days, 9:25:50 time: 0.9341 data_time: 0.0291 memory: 11089 grad_norm: 3.8325 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.9909 loss: 1.9909 2022/08/02 03:58:22 - mmengine - INFO - Epoch(train) [30][1780/1879] lr: 2.0000e-02 eta: 2 days, 9:25:33 time: 0.9332 data_time: 0.0239 memory: 11089 grad_norm: 3.8550 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0588 loss: 2.0588 2022/08/02 03:58:40 - mmengine - INFO - Epoch(train) [30][1800/1879] lr: 2.0000e-02 eta: 2 days, 9:25:15 time: 0.9317 data_time: 0.0304 memory: 11089 grad_norm: 3.9792 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1869 loss: 2.1869 2022/08/02 03:58:58 - mmengine - INFO - Epoch(train) [30][1820/1879] lr: 2.0000e-02 eta: 2 days, 9:24:56 time: 0.9069 data_time: 0.0266 memory: 11089 grad_norm: 3.9297 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0173 loss: 2.0173 2022/08/02 03:59:17 - mmengine - INFO - Epoch(train) [30][1840/1879] lr: 2.0000e-02 eta: 2 days, 9:24:38 time: 0.9149 data_time: 0.0241 memory: 11089 grad_norm: 3.8766 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8695 loss: 1.8695 2022/08/02 03:59:35 - mmengine - INFO - Epoch(train) [30][1860/1879] lr: 2.0000e-02 eta: 2 days, 9:24:19 time: 0.9110 data_time: 0.0286 memory: 11089 grad_norm: 3.7891 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9403 loss: 1.9403 2022/08/02 03:59:52 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 03:59:52 - mmengine - INFO - Epoch(train) [30][1879/1879] lr: 2.0000e-02 eta: 2 days, 9:24:19 time: 0.8777 data_time: 0.0236 memory: 11089 grad_norm: 3.8976 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.0929 loss: 2.0929 2022/08/02 04:00:00 - mmengine - INFO - Epoch(val) [30][20/155] eta: 0:00:57 time: 0.4247 data_time: 0.1141 memory: 1950 2022/08/02 04:00:07 - mmengine - INFO - Epoch(val) [30][40/155] eta: 0:00:37 time: 0.3296 data_time: 0.0118 memory: 1950 2022/08/02 04:00:13 - mmengine - INFO - Epoch(val) [30][60/155] eta: 0:00:31 time: 0.3320 data_time: 0.0126 memory: 1950 2022/08/02 04:00:20 - mmengine - INFO - Epoch(val) [30][80/155] eta: 0:00:24 time: 0.3259 data_time: 0.0120 memory: 1950 2022/08/02 04:00:26 - mmengine - INFO - Epoch(val) [30][100/155] eta: 0:00:17 time: 0.3228 data_time: 0.0111 memory: 1950 2022/08/02 04:00:33 - mmengine - INFO - Epoch(val) [30][120/155] eta: 0:00:11 time: 0.3350 data_time: 0.0127 memory: 1950 2022/08/02 04:00:41 - mmengine - INFO - Epoch(val) [30][140/155] eta: 0:00:05 time: 0.3778 data_time: 0.0104 memory: 1950 2022/08/02 04:00:48 - mmengine - INFO - Epoch(val) [30][155/155] acc/top1: 0.6014 acc/top5: 0.8294 acc/mean1: 0.6013 2022/08/02 04:01:08 - mmengine - INFO - Epoch(train) [31][20/1879] lr: 2.0000e-02 eta: 2 days, 9:22:41 time: 1.0045 data_time: 0.1163 memory: 11089 grad_norm: 3.8968 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8509 loss: 1.8509 2022/08/02 04:01:26 - mmengine - INFO - Epoch(train) [31][40/1879] lr: 2.0000e-02 eta: 2 days, 9:22:22 time: 0.9104 data_time: 0.0224 memory: 11089 grad_norm: 3.9682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9402 loss: 1.9402 2022/08/02 04:01:44 - mmengine - INFO - Epoch(train) [31][60/1879] lr: 2.0000e-02 eta: 2 days, 9:22:04 time: 0.9191 data_time: 0.0274 memory: 11089 grad_norm: 3.8640 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9268 loss: 1.9268 2022/08/02 04:02:03 - mmengine - INFO - Epoch(train) [31][80/1879] lr: 2.0000e-02 eta: 2 days, 9:21:46 time: 0.9201 data_time: 0.0270 memory: 11089 grad_norm: 3.7759 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0280 loss: 2.0280 2022/08/02 04:02:21 - mmengine - INFO - Epoch(train) [31][100/1879] lr: 2.0000e-02 eta: 2 days, 9:21:28 time: 0.9185 data_time: 0.0329 memory: 11089 grad_norm: 3.8760 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0134 loss: 2.0134 2022/08/02 04:02:39 - mmengine - INFO - Epoch(train) [31][120/1879] lr: 2.0000e-02 eta: 2 days, 9:21:09 time: 0.9153 data_time: 0.0254 memory: 11089 grad_norm: 3.7304 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0106 loss: 2.0106 2022/08/02 04:02:58 - mmengine - INFO - Epoch(train) [31][140/1879] lr: 2.0000e-02 eta: 2 days, 9:20:51 time: 0.9116 data_time: 0.0248 memory: 11089 grad_norm: 3.8897 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0123 loss: 2.0123 2022/08/02 04:03:16 - mmengine - INFO - Epoch(train) [31][160/1879] lr: 2.0000e-02 eta: 2 days, 9:20:32 time: 0.9088 data_time: 0.0270 memory: 11089 grad_norm: 3.8717 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0519 loss: 2.0519 2022/08/02 04:03:34 - mmengine - INFO - Epoch(train) [31][180/1879] lr: 2.0000e-02 eta: 2 days, 9:20:14 time: 0.9277 data_time: 0.0265 memory: 11089 grad_norm: 3.9297 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9460 loss: 1.9460 2022/08/02 04:03:53 - mmengine - INFO - Epoch(train) [31][200/1879] lr: 2.0000e-02 eta: 2 days, 9:19:55 time: 0.9075 data_time: 0.0248 memory: 11089 grad_norm: 3.8574 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7772 loss: 1.7772 2022/08/02 04:04:11 - mmengine - INFO - Epoch(train) [31][220/1879] lr: 2.0000e-02 eta: 2 days, 9:19:36 time: 0.9004 data_time: 0.0239 memory: 11089 grad_norm: 3.8726 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1355 loss: 2.1355 2022/08/02 04:04:29 - mmengine - INFO - Epoch(train) [31][240/1879] lr: 2.0000e-02 eta: 2 days, 9:19:19 time: 0.9291 data_time: 0.0257 memory: 11089 grad_norm: 3.8443 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8253 loss: 1.8253 2022/08/02 04:04:47 - mmengine - INFO - Epoch(train) [31][260/1879] lr: 2.0000e-02 eta: 2 days, 9:19:00 time: 0.9124 data_time: 0.0215 memory: 11089 grad_norm: 3.8433 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8919 loss: 1.8919 2022/08/02 04:05:06 - mmengine - INFO - Epoch(train) [31][280/1879] lr: 2.0000e-02 eta: 2 days, 9:18:41 time: 0.9144 data_time: 0.0271 memory: 11089 grad_norm: 3.8541 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7947 loss: 1.7947 2022/08/02 04:05:24 - mmengine - INFO - Epoch(train) [31][300/1879] lr: 2.0000e-02 eta: 2 days, 9:18:24 time: 0.9230 data_time: 0.0309 memory: 11089 grad_norm: 3.8180 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7229 loss: 1.7229 2022/08/02 04:05:43 - mmengine - INFO - Epoch(train) [31][320/1879] lr: 2.0000e-02 eta: 2 days, 9:18:09 time: 0.9575 data_time: 0.0350 memory: 11089 grad_norm: 3.8310 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9324 loss: 1.9324 2022/08/02 04:06:02 - mmengine - INFO - Epoch(train) [31][340/1879] lr: 2.0000e-02 eta: 2 days, 9:17:52 time: 0.9343 data_time: 0.0292 memory: 11089 grad_norm: 3.8965 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0202 loss: 2.0202 2022/08/02 04:06:20 - mmengine - INFO - Epoch(train) [31][360/1879] lr: 2.0000e-02 eta: 2 days, 9:17:34 time: 0.9189 data_time: 0.0292 memory: 11089 grad_norm: 3.8382 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0400 loss: 2.0400 2022/08/02 04:06:39 - mmengine - INFO - Epoch(train) [31][380/1879] lr: 2.0000e-02 eta: 2 days, 9:17:15 time: 0.9144 data_time: 0.0241 memory: 11089 grad_norm: 3.8930 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9703 loss: 1.9703 2022/08/02 04:06:57 - mmengine - INFO - Epoch(train) [31][400/1879] lr: 2.0000e-02 eta: 2 days, 9:16:57 time: 0.9200 data_time: 0.0259 memory: 11089 grad_norm: 3.8661 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9015 loss: 1.9015 2022/08/02 04:07:15 - mmengine - INFO - Epoch(train) [31][420/1879] lr: 2.0000e-02 eta: 2 days, 9:16:39 time: 0.9185 data_time: 0.0313 memory: 11089 grad_norm: 3.9261 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2049 loss: 2.2049 2022/08/02 04:07:34 - mmengine - INFO - Epoch(train) [31][440/1879] lr: 2.0000e-02 eta: 2 days, 9:16:21 time: 0.9172 data_time: 0.0298 memory: 11089 grad_norm: 3.9257 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8592 loss: 1.8592 2022/08/02 04:07:52 - mmengine - INFO - Epoch(train) [31][460/1879] lr: 2.0000e-02 eta: 2 days, 9:16:01 time: 0.8962 data_time: 0.0266 memory: 11089 grad_norm: 3.8628 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0036 loss: 2.0036 2022/08/02 04:08:10 - mmengine - INFO - Epoch(train) [31][480/1879] lr: 2.0000e-02 eta: 2 days, 9:15:43 time: 0.9270 data_time: 0.0290 memory: 11089 grad_norm: 3.8737 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.0224 loss: 2.0224 2022/08/02 04:08:28 - mmengine - INFO - Epoch(train) [31][500/1879] lr: 2.0000e-02 eta: 2 days, 9:15:23 time: 0.8965 data_time: 0.0245 memory: 11089 grad_norm: 3.9175 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9778 loss: 1.9778 2022/08/02 04:08:46 - mmengine - INFO - Epoch(train) [31][520/1879] lr: 2.0000e-02 eta: 2 days, 9:15:04 time: 0.9018 data_time: 0.0235 memory: 11089 grad_norm: 3.7609 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9660 loss: 1.9660 2022/08/02 04:09:04 - mmengine - INFO - Epoch(train) [31][540/1879] lr: 2.0000e-02 eta: 2 days, 9:14:45 time: 0.9103 data_time: 0.0306 memory: 11089 grad_norm: 3.7849 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8657 loss: 1.8657 2022/08/02 04:09:23 - mmengine - INFO - Epoch(train) [31][560/1879] lr: 2.0000e-02 eta: 2 days, 9:14:26 time: 0.9089 data_time: 0.0263 memory: 11089 grad_norm: 3.7687 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9361 loss: 1.9361 2022/08/02 04:09:41 - mmengine - INFO - Epoch(train) [31][580/1879] lr: 2.0000e-02 eta: 2 days, 9:14:10 time: 0.9379 data_time: 0.0288 memory: 11089 grad_norm: 3.7849 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9579 loss: 1.9579 2022/08/02 04:09:59 - mmengine - INFO - Epoch(train) [31][600/1879] lr: 2.0000e-02 eta: 2 days, 9:13:50 time: 0.9031 data_time: 0.0235 memory: 11089 grad_norm: 3.9172 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1983 loss: 2.1983 2022/08/02 04:10:18 - mmengine - INFO - Epoch(train) [31][620/1879] lr: 2.0000e-02 eta: 2 days, 9:13:32 time: 0.9185 data_time: 0.0259 memory: 11089 grad_norm: 3.9863 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7930 loss: 1.7930 2022/08/02 04:10:27 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 04:10:36 - mmengine - INFO - Epoch(train) [31][640/1879] lr: 2.0000e-02 eta: 2 days, 9:13:15 time: 0.9341 data_time: 0.0326 memory: 11089 grad_norm: 3.9001 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.1143 loss: 2.1143 2022/08/02 04:10:55 - mmengine - INFO - Epoch(train) [31][660/1879] lr: 2.0000e-02 eta: 2 days, 9:12:57 time: 0.9168 data_time: 0.0311 memory: 11089 grad_norm: 3.8232 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9112 loss: 1.9112 2022/08/02 04:11:14 - mmengine - INFO - Epoch(train) [31][680/1879] lr: 2.0000e-02 eta: 2 days, 9:12:40 time: 0.9376 data_time: 0.0281 memory: 11089 grad_norm: 3.7457 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8566 loss: 1.8566 2022/08/02 04:11:32 - mmengine - INFO - Epoch(train) [31][700/1879] lr: 2.0000e-02 eta: 2 days, 9:12:22 time: 0.9154 data_time: 0.0239 memory: 11089 grad_norm: 3.8626 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.9200 loss: 1.9200 2022/08/02 04:11:50 - mmengine - INFO - Epoch(train) [31][720/1879] lr: 2.0000e-02 eta: 2 days, 9:12:03 time: 0.9134 data_time: 0.0272 memory: 11089 grad_norm: 3.8582 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8873 loss: 1.8873 2022/08/02 04:12:09 - mmengine - INFO - Epoch(train) [31][740/1879] lr: 2.0000e-02 eta: 2 days, 9:11:46 time: 0.9245 data_time: 0.0294 memory: 11089 grad_norm: 3.8875 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8788 loss: 1.8788 2022/08/02 04:12:27 - mmengine - INFO - Epoch(train) [31][760/1879] lr: 2.0000e-02 eta: 2 days, 9:11:27 time: 0.9128 data_time: 0.0273 memory: 11089 grad_norm: 3.9161 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2013 loss: 2.2013 2022/08/02 04:12:45 - mmengine - INFO - Epoch(train) [31][780/1879] lr: 2.0000e-02 eta: 2 days, 9:11:08 time: 0.9085 data_time: 0.0294 memory: 11089 grad_norm: 3.9411 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9022 loss: 1.9022 2022/08/02 04:13:03 - mmengine - INFO - Epoch(train) [31][800/1879] lr: 2.0000e-02 eta: 2 days, 9:10:49 time: 0.9067 data_time: 0.0279 memory: 11089 grad_norm: 3.8196 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0603 loss: 2.0603 2022/08/02 04:13:22 - mmengine - INFO - Epoch(train) [31][820/1879] lr: 2.0000e-02 eta: 2 days, 9:10:31 time: 0.9213 data_time: 0.0298 memory: 11089 grad_norm: 3.9492 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0981 loss: 2.0981 2022/08/02 04:13:40 - mmengine - INFO - Epoch(train) [31][840/1879] lr: 2.0000e-02 eta: 2 days, 9:10:14 time: 0.9292 data_time: 0.0324 memory: 11089 grad_norm: 3.8616 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8377 loss: 1.8377 2022/08/02 04:13:59 - mmengine - INFO - Epoch(train) [31][860/1879] lr: 2.0000e-02 eta: 2 days, 9:09:56 time: 0.9151 data_time: 0.0257 memory: 11089 grad_norm: 3.9096 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0711 loss: 2.0711 2022/08/02 04:14:17 - mmengine - INFO - Epoch(train) [31][880/1879] lr: 2.0000e-02 eta: 2 days, 9:09:37 time: 0.9106 data_time: 0.0321 memory: 11089 grad_norm: 3.8520 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9459 loss: 1.9459 2022/08/02 04:14:35 - mmengine - INFO - Epoch(train) [31][900/1879] lr: 2.0000e-02 eta: 2 days, 9:09:18 time: 0.9060 data_time: 0.0276 memory: 11089 grad_norm: 3.9016 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9389 loss: 1.9389 2022/08/02 04:14:54 - mmengine - INFO - Epoch(train) [31][920/1879] lr: 2.0000e-02 eta: 2 days, 9:09:01 time: 0.9321 data_time: 0.0299 memory: 11089 grad_norm: 3.8730 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0847 loss: 2.0847 2022/08/02 04:15:12 - mmengine - INFO - Epoch(train) [31][940/1879] lr: 2.0000e-02 eta: 2 days, 9:08:43 time: 0.9193 data_time: 0.0292 memory: 11089 grad_norm: 3.9140 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9963 loss: 1.9963 2022/08/02 04:15:30 - mmengine - INFO - Epoch(train) [31][960/1879] lr: 2.0000e-02 eta: 2 days, 9:08:24 time: 0.9190 data_time: 0.0280 memory: 11089 grad_norm: 3.8214 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8825 loss: 1.8825 2022/08/02 04:15:49 - mmengine - INFO - Epoch(train) [31][980/1879] lr: 2.0000e-02 eta: 2 days, 9:08:07 time: 0.9243 data_time: 0.0261 memory: 11089 grad_norm: 3.8159 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0360 loss: 2.0360 2022/08/02 04:16:07 - mmengine - INFO - Epoch(train) [31][1000/1879] lr: 2.0000e-02 eta: 2 days, 9:07:47 time: 0.8984 data_time: 0.0244 memory: 11089 grad_norm: 3.8767 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1134 loss: 2.1134 2022/08/02 04:16:26 - mmengine - INFO - Epoch(train) [31][1020/1879] lr: 2.0000e-02 eta: 2 days, 9:07:31 time: 0.9399 data_time: 0.0243 memory: 11089 grad_norm: 4.0296 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9705 loss: 1.9705 2022/08/02 04:16:44 - mmengine - INFO - Epoch(train) [31][1040/1879] lr: 2.0000e-02 eta: 2 days, 9:07:13 time: 0.9305 data_time: 0.0367 memory: 11089 grad_norm: 3.8912 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0306 loss: 2.0306 2022/08/02 04:17:03 - mmengine - INFO - Epoch(train) [31][1060/1879] lr: 2.0000e-02 eta: 2 days, 9:06:55 time: 0.9197 data_time: 0.0321 memory: 11089 grad_norm: 3.8191 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7832 loss: 1.7832 2022/08/02 04:17:21 - mmengine - INFO - Epoch(train) [31][1080/1879] lr: 2.0000e-02 eta: 2 days, 9:06:39 time: 0.9421 data_time: 0.0297 memory: 11089 grad_norm: 3.8887 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.8044 loss: 1.8044 2022/08/02 04:17:40 - mmengine - INFO - Epoch(train) [31][1100/1879] lr: 2.0000e-02 eta: 2 days, 9:06:22 time: 0.9382 data_time: 0.0316 memory: 11089 grad_norm: 3.9105 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9840 loss: 1.9840 2022/08/02 04:17:58 - mmengine - INFO - Epoch(train) [31][1120/1879] lr: 2.0000e-02 eta: 2 days, 9:06:04 time: 0.9150 data_time: 0.0259 memory: 11089 grad_norm: 3.9216 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0993 loss: 2.0993 2022/08/02 04:18:17 - mmengine - INFO - Epoch(train) [31][1140/1879] lr: 2.0000e-02 eta: 2 days, 9:05:46 time: 0.9245 data_time: 0.0397 memory: 11089 grad_norm: 3.9436 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0351 loss: 2.0351 2022/08/02 04:18:36 - mmengine - INFO - Epoch(train) [31][1160/1879] lr: 2.0000e-02 eta: 2 days, 9:05:30 time: 0.9387 data_time: 0.0290 memory: 11089 grad_norm: 3.9013 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8084 loss: 1.8084 2022/08/02 04:18:54 - mmengine - INFO - Epoch(train) [31][1180/1879] lr: 2.0000e-02 eta: 2 days, 9:05:10 time: 0.8930 data_time: 0.0223 memory: 11089 grad_norm: 3.9860 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0791 loss: 2.0791 2022/08/02 04:19:12 - mmengine - INFO - Epoch(train) [31][1200/1879] lr: 2.0000e-02 eta: 2 days, 9:04:51 time: 0.9172 data_time: 0.0258 memory: 11089 grad_norm: 3.8565 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0691 loss: 2.0691 2022/08/02 04:19:30 - mmengine - INFO - Epoch(train) [31][1220/1879] lr: 2.0000e-02 eta: 2 days, 9:04:34 time: 0.9236 data_time: 0.0292 memory: 11089 grad_norm: 3.8259 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1582 loss: 2.1582 2022/08/02 04:19:48 - mmengine - INFO - Epoch(train) [31][1240/1879] lr: 2.0000e-02 eta: 2 days, 9:04:14 time: 0.8954 data_time: 0.0245 memory: 11089 grad_norm: 3.8206 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2129 loss: 2.2129 2022/08/02 04:20:07 - mmengine - INFO - Epoch(train) [31][1260/1879] lr: 2.0000e-02 eta: 2 days, 9:03:55 time: 0.9167 data_time: 0.0262 memory: 11089 grad_norm: 3.8803 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0706 loss: 2.0706 2022/08/02 04:20:25 - mmengine - INFO - Epoch(train) [31][1280/1879] lr: 2.0000e-02 eta: 2 days, 9:03:37 time: 0.9184 data_time: 0.0317 memory: 11089 grad_norm: 3.8760 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9250 loss: 1.9250 2022/08/02 04:20:43 - mmengine - INFO - Epoch(train) [31][1300/1879] lr: 2.0000e-02 eta: 2 days, 9:03:19 time: 0.9125 data_time: 0.0223 memory: 11089 grad_norm: 3.9110 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8440 loss: 1.8440 2022/08/02 04:21:02 - mmengine - INFO - Epoch(train) [31][1320/1879] lr: 2.0000e-02 eta: 2 days, 9:03:00 time: 0.9175 data_time: 0.0250 memory: 11089 grad_norm: 3.9318 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7601 loss: 1.7601 2022/08/02 04:21:20 - mmengine - INFO - Epoch(train) [31][1340/1879] lr: 2.0000e-02 eta: 2 days, 9:02:42 time: 0.9195 data_time: 0.0264 memory: 11089 grad_norm: 3.7569 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8032 loss: 1.8032 2022/08/02 04:21:38 - mmengine - INFO - Epoch(train) [31][1360/1879] lr: 2.0000e-02 eta: 2 days, 9:02:23 time: 0.9080 data_time: 0.0277 memory: 11089 grad_norm: 3.8103 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0441 loss: 2.0441 2022/08/02 04:21:57 - mmengine - INFO - Epoch(train) [31][1380/1879] lr: 2.0000e-02 eta: 2 days, 9:02:05 time: 0.9210 data_time: 0.0340 memory: 11089 grad_norm: 3.8911 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9420 loss: 1.9420 2022/08/02 04:22:15 - mmengine - INFO - Epoch(train) [31][1400/1879] lr: 2.0000e-02 eta: 2 days, 9:01:47 time: 0.9171 data_time: 0.0261 memory: 11089 grad_norm: 3.9140 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8975 loss: 1.8975 2022/08/02 04:22:34 - mmengine - INFO - Epoch(train) [31][1420/1879] lr: 2.0000e-02 eta: 2 days, 9:01:30 time: 0.9371 data_time: 0.0275 memory: 11089 grad_norm: 3.8706 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8140 loss: 1.8140 2022/08/02 04:22:52 - mmengine - INFO - Epoch(train) [31][1440/1879] lr: 2.0000e-02 eta: 2 days, 9:01:13 time: 0.9299 data_time: 0.0311 memory: 11089 grad_norm: 3.8847 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9352 loss: 1.9352 2022/08/02 04:23:11 - mmengine - INFO - Epoch(train) [31][1460/1879] lr: 2.0000e-02 eta: 2 days, 9:00:56 time: 0.9296 data_time: 0.0273 memory: 11089 grad_norm: 3.9678 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7996 loss: 1.7996 2022/08/02 04:23:29 - mmengine - INFO - Epoch(train) [31][1480/1879] lr: 2.0000e-02 eta: 2 days, 9:00:36 time: 0.8940 data_time: 0.0268 memory: 11089 grad_norm: 3.9139 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3512 loss: 2.3512 2022/08/02 04:23:48 - mmengine - INFO - Epoch(train) [31][1500/1879] lr: 2.0000e-02 eta: 2 days, 9:00:20 time: 0.9463 data_time: 0.0273 memory: 11089 grad_norm: 3.8808 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1392 loss: 2.1392 2022/08/02 04:24:06 - mmengine - INFO - Epoch(train) [31][1520/1879] lr: 2.0000e-02 eta: 2 days, 9:00:01 time: 0.9090 data_time: 0.0308 memory: 11089 grad_norm: 3.8804 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7361 loss: 1.7361 2022/08/02 04:24:25 - mmengine - INFO - Epoch(train) [31][1540/1879] lr: 2.0000e-02 eta: 2 days, 8:59:44 time: 0.9370 data_time: 0.0296 memory: 11089 grad_norm: 3.8421 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8800 loss: 1.8800 2022/08/02 04:24:43 - mmengine - INFO - Epoch(train) [31][1560/1879] lr: 2.0000e-02 eta: 2 days, 8:59:27 time: 0.9321 data_time: 0.0352 memory: 11089 grad_norm: 3.8366 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9202 loss: 1.9202 2022/08/02 04:25:02 - mmengine - INFO - Epoch(train) [31][1580/1879] lr: 2.0000e-02 eta: 2 days, 8:59:09 time: 0.9216 data_time: 0.0314 memory: 11089 grad_norm: 3.8067 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0534 loss: 2.0534 2022/08/02 04:25:20 - mmengine - INFO - Epoch(train) [31][1600/1879] lr: 2.0000e-02 eta: 2 days, 8:58:50 time: 0.8990 data_time: 0.0291 memory: 11089 grad_norm: 3.9445 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.0656 loss: 2.0656 2022/08/02 04:25:38 - mmengine - INFO - Epoch(train) [31][1620/1879] lr: 2.0000e-02 eta: 2 days, 8:58:30 time: 0.8979 data_time: 0.0249 memory: 11089 grad_norm: 3.9205 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1003 loss: 2.1003 2022/08/02 04:25:47 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 04:25:56 - mmengine - INFO - Epoch(train) [31][1640/1879] lr: 2.0000e-02 eta: 2 days, 8:58:13 time: 0.9330 data_time: 0.0281 memory: 11089 grad_norm: 3.8100 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9886 loss: 1.9886 2022/08/02 04:26:15 - mmengine - INFO - Epoch(train) [31][1660/1879] lr: 2.0000e-02 eta: 2 days, 8:57:56 time: 0.9417 data_time: 0.0337 memory: 11089 grad_norm: 3.8205 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9652 loss: 1.9652 2022/08/02 04:26:33 - mmengine - INFO - Epoch(train) [31][1680/1879] lr: 2.0000e-02 eta: 2 days, 8:57:38 time: 0.9155 data_time: 0.0261 memory: 11089 grad_norm: 3.7965 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8668 loss: 1.8668 2022/08/02 04:26:52 - mmengine - INFO - Epoch(train) [31][1700/1879] lr: 2.0000e-02 eta: 2 days, 8:57:19 time: 0.9116 data_time: 0.0265 memory: 11089 grad_norm: 3.8035 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1026 loss: 2.1026 2022/08/02 04:27:10 - mmengine - INFO - Epoch(train) [31][1720/1879] lr: 2.0000e-02 eta: 2 days, 8:57:02 time: 0.9308 data_time: 0.0261 memory: 11089 grad_norm: 3.9191 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2035 loss: 2.2035 2022/08/02 04:27:29 - mmengine - INFO - Epoch(train) [31][1740/1879] lr: 2.0000e-02 eta: 2 days, 8:56:44 time: 0.9146 data_time: 0.0294 memory: 11089 grad_norm: 3.8293 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9339 loss: 1.9339 2022/08/02 04:27:47 - mmengine - INFO - Epoch(train) [31][1760/1879] lr: 2.0000e-02 eta: 2 days, 8:56:25 time: 0.9102 data_time: 0.0261 memory: 11089 grad_norm: 3.9297 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1402 loss: 2.1402 2022/08/02 04:28:05 - mmengine - INFO - Epoch(train) [31][1780/1879] lr: 2.0000e-02 eta: 2 days, 8:56:07 time: 0.9208 data_time: 0.0253 memory: 11089 grad_norm: 3.9279 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1770 loss: 2.1770 2022/08/02 04:28:24 - mmengine - INFO - Epoch(train) [31][1800/1879] lr: 2.0000e-02 eta: 2 days, 8:55:50 time: 0.9286 data_time: 0.0290 memory: 11089 grad_norm: 3.8995 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0126 loss: 2.0126 2022/08/02 04:28:42 - mmengine - INFO - Epoch(train) [31][1820/1879] lr: 2.0000e-02 eta: 2 days, 8:55:32 time: 0.9264 data_time: 0.0361 memory: 11089 grad_norm: 3.9132 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0785 loss: 2.0785 2022/08/02 04:29:00 - mmengine - INFO - Epoch(train) [31][1840/1879] lr: 2.0000e-02 eta: 2 days, 8:55:13 time: 0.9085 data_time: 0.0214 memory: 11089 grad_norm: 3.8268 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9362 loss: 1.9362 2022/08/02 04:29:19 - mmengine - INFO - Epoch(train) [31][1860/1879] lr: 2.0000e-02 eta: 2 days, 8:54:54 time: 0.9040 data_time: 0.0337 memory: 11089 grad_norm: 4.0219 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7949 loss: 1.7949 2022/08/02 04:29:36 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 04:29:36 - mmengine - INFO - Epoch(train) [31][1879/1879] lr: 2.0000e-02 eta: 2 days, 8:54:54 time: 0.9040 data_time: 0.0285 memory: 11089 grad_norm: 3.9679 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.1522 loss: 2.1522 2022/08/02 04:29:57 - mmengine - INFO - Epoch(train) [32][20/1879] lr: 2.0000e-02 eta: 2 days, 8:53:21 time: 1.0399 data_time: 0.1322 memory: 11089 grad_norm: 3.7870 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8576 loss: 1.8576 2022/08/02 04:30:16 - mmengine - INFO - Epoch(train) [32][40/1879] lr: 2.0000e-02 eta: 2 days, 8:53:05 time: 0.9484 data_time: 0.0269 memory: 11089 grad_norm: 3.8329 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 1.7915 loss: 1.7915 2022/08/02 04:30:34 - mmengine - INFO - Epoch(train) [32][60/1879] lr: 2.0000e-02 eta: 2 days, 8:52:47 time: 0.9239 data_time: 0.0239 memory: 11089 grad_norm: 3.8878 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0344 loss: 2.0344 2022/08/02 04:30:52 - mmengine - INFO - Epoch(train) [32][80/1879] lr: 2.0000e-02 eta: 2 days, 8:52:28 time: 0.9106 data_time: 0.0262 memory: 11089 grad_norm: 3.7925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7904 loss: 1.7904 2022/08/02 04:31:11 - mmengine - INFO - Epoch(train) [32][100/1879] lr: 2.0000e-02 eta: 2 days, 8:52:11 time: 0.9274 data_time: 0.0269 memory: 11089 grad_norm: 3.9530 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9691 loss: 1.9691 2022/08/02 04:31:29 - mmengine - INFO - Epoch(train) [32][120/1879] lr: 2.0000e-02 eta: 2 days, 8:51:53 time: 0.9141 data_time: 0.0288 memory: 11089 grad_norm: 3.9430 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1467 loss: 2.1467 2022/08/02 04:31:48 - mmengine - INFO - Epoch(train) [32][140/1879] lr: 2.0000e-02 eta: 2 days, 8:51:34 time: 0.9136 data_time: 0.0302 memory: 11089 grad_norm: 3.9206 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0153 loss: 2.0153 2022/08/02 04:32:06 - mmengine - INFO - Epoch(train) [32][160/1879] lr: 2.0000e-02 eta: 2 days, 8:51:19 time: 0.9529 data_time: 0.0400 memory: 11089 grad_norm: 3.8387 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0556 loss: 2.0556 2022/08/02 04:32:25 - mmengine - INFO - Epoch(train) [32][180/1879] lr: 2.0000e-02 eta: 2 days, 8:51:01 time: 0.9254 data_time: 0.0355 memory: 11089 grad_norm: 3.8062 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0442 loss: 2.0442 2022/08/02 04:32:43 - mmengine - INFO - Epoch(train) [32][200/1879] lr: 2.0000e-02 eta: 2 days, 8:50:43 time: 0.9263 data_time: 0.0311 memory: 11089 grad_norm: 3.8602 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9108 loss: 1.9108 2022/08/02 04:33:02 - mmengine - INFO - Epoch(train) [32][220/1879] lr: 2.0000e-02 eta: 2 days, 8:50:27 time: 0.9379 data_time: 0.0303 memory: 11089 grad_norm: 3.8602 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1196 loss: 2.1196 2022/08/02 04:33:21 - mmengine - INFO - Epoch(train) [32][240/1879] lr: 2.0000e-02 eta: 2 days, 8:50:08 time: 0.9134 data_time: 0.0306 memory: 11089 grad_norm: 3.8427 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0664 loss: 2.0664 2022/08/02 04:33:39 - mmengine - INFO - Epoch(train) [32][260/1879] lr: 2.0000e-02 eta: 2 days, 8:49:51 time: 0.9365 data_time: 0.0286 memory: 11089 grad_norm: 3.8216 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9883 loss: 1.9883 2022/08/02 04:33:58 - mmengine - INFO - Epoch(train) [32][280/1879] lr: 2.0000e-02 eta: 2 days, 8:49:35 time: 0.9391 data_time: 0.0333 memory: 11089 grad_norm: 3.8476 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9053 loss: 1.9053 2022/08/02 04:34:17 - mmengine - INFO - Epoch(train) [32][300/1879] lr: 2.0000e-02 eta: 2 days, 8:49:18 time: 0.9287 data_time: 0.0318 memory: 11089 grad_norm: 3.8423 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8325 loss: 1.8325 2022/08/02 04:34:35 - mmengine - INFO - Epoch(train) [32][320/1879] lr: 2.0000e-02 eta: 2 days, 8:48:59 time: 0.9153 data_time: 0.0296 memory: 11089 grad_norm: 3.9421 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8556 loss: 1.8556 2022/08/02 04:34:54 - mmengine - INFO - Epoch(train) [32][340/1879] lr: 2.0000e-02 eta: 2 days, 8:48:42 time: 0.9352 data_time: 0.0366 memory: 11089 grad_norm: 3.9702 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9267 loss: 1.9267 2022/08/02 04:35:12 - mmengine - INFO - Epoch(train) [32][360/1879] lr: 2.0000e-02 eta: 2 days, 8:48:24 time: 0.9099 data_time: 0.0293 memory: 11089 grad_norm: 3.9339 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8702 loss: 1.8702 2022/08/02 04:35:30 - mmengine - INFO - Epoch(train) [32][380/1879] lr: 2.0000e-02 eta: 2 days, 8:48:05 time: 0.9088 data_time: 0.0296 memory: 11089 grad_norm: 3.7978 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8572 loss: 1.8572 2022/08/02 04:35:48 - mmengine - INFO - Epoch(train) [32][400/1879] lr: 2.0000e-02 eta: 2 days, 8:47:44 time: 0.8912 data_time: 0.0264 memory: 11089 grad_norm: 3.9313 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9615 loss: 1.9615 2022/08/02 04:36:06 - mmengine - INFO - Epoch(train) [32][420/1879] lr: 2.0000e-02 eta: 2 days, 8:47:26 time: 0.9126 data_time: 0.0277 memory: 11089 grad_norm: 3.8622 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0779 loss: 2.0779 2022/08/02 04:36:24 - mmengine - INFO - Epoch(train) [32][440/1879] lr: 2.0000e-02 eta: 2 days, 8:47:06 time: 0.8968 data_time: 0.0240 memory: 11089 grad_norm: 3.8044 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0707 loss: 2.0707 2022/08/02 04:36:42 - mmengine - INFO - Epoch(train) [32][460/1879] lr: 2.0000e-02 eta: 2 days, 8:46:48 time: 0.9142 data_time: 0.0293 memory: 11089 grad_norm: 3.8597 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9015 loss: 1.9015 2022/08/02 04:37:01 - mmengine - INFO - Epoch(train) [32][480/1879] lr: 2.0000e-02 eta: 2 days, 8:46:30 time: 0.9262 data_time: 0.0263 memory: 11089 grad_norm: 3.8365 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7529 loss: 1.7529 2022/08/02 04:37:20 - mmengine - INFO - Epoch(train) [32][500/1879] lr: 2.0000e-02 eta: 2 days, 8:46:14 time: 0.9424 data_time: 0.0364 memory: 11089 grad_norm: 3.8597 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9706 loss: 1.9706 2022/08/02 04:37:38 - mmengine - INFO - Epoch(train) [32][520/1879] lr: 2.0000e-02 eta: 2 days, 8:45:56 time: 0.9212 data_time: 0.0285 memory: 11089 grad_norm: 3.8720 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2147 loss: 2.2147 2022/08/02 04:37:57 - mmengine - INFO - Epoch(train) [32][540/1879] lr: 2.0000e-02 eta: 2 days, 8:45:40 time: 0.9469 data_time: 0.0299 memory: 11089 grad_norm: 3.8299 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0804 loss: 2.0804 2022/08/02 04:38:16 - mmengine - INFO - Epoch(train) [32][560/1879] lr: 2.0000e-02 eta: 2 days, 8:45:23 time: 0.9290 data_time: 0.0264 memory: 11089 grad_norm: 3.9786 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8395 loss: 1.8395 2022/08/02 04:38:34 - mmengine - INFO - Epoch(train) [32][580/1879] lr: 2.0000e-02 eta: 2 days, 8:45:06 time: 0.9354 data_time: 0.0282 memory: 11089 grad_norm: 3.8539 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8744 loss: 1.8744 2022/08/02 04:38:53 - mmengine - INFO - Epoch(train) [32][600/1879] lr: 2.0000e-02 eta: 2 days, 8:44:48 time: 0.9295 data_time: 0.0240 memory: 11089 grad_norm: 3.8853 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7674 loss: 1.7674 2022/08/02 04:39:12 - mmengine - INFO - Epoch(train) [32][620/1879] lr: 2.0000e-02 eta: 2 days, 8:44:32 time: 0.9386 data_time: 0.0273 memory: 11089 grad_norm: 3.8616 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9754 loss: 1.9754 2022/08/02 04:39:30 - mmengine - INFO - Epoch(train) [32][640/1879] lr: 2.0000e-02 eta: 2 days, 8:44:12 time: 0.9027 data_time: 0.0247 memory: 11089 grad_norm: 3.8479 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0066 loss: 2.0066 2022/08/02 04:39:49 - mmengine - INFO - Epoch(train) [32][660/1879] lr: 2.0000e-02 eta: 2 days, 8:43:56 time: 0.9414 data_time: 0.0361 memory: 11089 grad_norm: 3.9283 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0238 loss: 2.0238 2022/08/02 04:40:07 - mmengine - INFO - Epoch(train) [32][680/1879] lr: 2.0000e-02 eta: 2 days, 8:43:39 time: 0.9277 data_time: 0.0270 memory: 11089 grad_norm: 3.8613 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9919 loss: 1.9919 2022/08/02 04:40:26 - mmengine - INFO - Epoch(train) [32][700/1879] lr: 2.0000e-02 eta: 2 days, 8:43:22 time: 0.9347 data_time: 0.0347 memory: 11089 grad_norm: 3.8323 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0523 loss: 2.0523 2022/08/02 04:40:45 - mmengine - INFO - Epoch(train) [32][720/1879] lr: 2.0000e-02 eta: 2 days, 8:43:05 time: 0.9428 data_time: 0.0342 memory: 11089 grad_norm: 3.8317 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9918 loss: 1.9918 2022/08/02 04:41:03 - mmengine - INFO - Epoch(train) [32][740/1879] lr: 2.0000e-02 eta: 2 days, 8:42:47 time: 0.9227 data_time: 0.0277 memory: 11089 grad_norm: 4.0251 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0587 loss: 2.0587 2022/08/02 04:41:13 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 04:41:21 - mmengine - INFO - Epoch(train) [32][760/1879] lr: 2.0000e-02 eta: 2 days, 8:42:29 time: 0.9078 data_time: 0.0274 memory: 11089 grad_norm: 3.9803 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1305 loss: 2.1305 2022/08/02 04:41:39 - mmengine - INFO - Epoch(train) [32][780/1879] lr: 2.0000e-02 eta: 2 days, 8:42:09 time: 0.9040 data_time: 0.0283 memory: 11089 grad_norm: 3.9301 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3166 loss: 2.3166 2022/08/02 04:41:58 - mmengine - INFO - Epoch(train) [32][800/1879] lr: 2.0000e-02 eta: 2 days, 8:41:53 time: 0.9459 data_time: 0.0259 memory: 11089 grad_norm: 3.7859 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1078 loss: 2.1078 2022/08/02 04:42:17 - mmengine - INFO - Epoch(train) [32][820/1879] lr: 2.0000e-02 eta: 2 days, 8:41:37 time: 0.9459 data_time: 0.0271 memory: 11089 grad_norm: 3.8108 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0024 loss: 2.0024 2022/08/02 04:42:36 - mmengine - INFO - Epoch(train) [32][840/1879] lr: 2.0000e-02 eta: 2 days, 8:41:19 time: 0.9136 data_time: 0.0282 memory: 11089 grad_norm: 3.8795 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8392 loss: 1.8392 2022/08/02 04:42:54 - mmengine - INFO - Epoch(train) [32][860/1879] lr: 2.0000e-02 eta: 2 days, 8:41:01 time: 0.9314 data_time: 0.0328 memory: 11089 grad_norm: 3.8995 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9455 loss: 1.9455 2022/08/02 04:43:13 - mmengine - INFO - Epoch(train) [32][880/1879] lr: 2.0000e-02 eta: 2 days, 8:40:44 time: 0.9225 data_time: 0.0342 memory: 11089 grad_norm: 3.9374 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.9723 loss: 1.9723 2022/08/02 04:43:31 - mmengine - INFO - Epoch(train) [32][900/1879] lr: 2.0000e-02 eta: 2 days, 8:40:24 time: 0.9016 data_time: 0.0264 memory: 11089 grad_norm: 3.9040 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8743 loss: 1.8743 2022/08/02 04:43:50 - mmengine - INFO - Epoch(train) [32][920/1879] lr: 2.0000e-02 eta: 2 days, 8:40:08 time: 0.9413 data_time: 0.0263 memory: 11089 grad_norm: 3.9297 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0256 loss: 2.0256 2022/08/02 04:44:08 - mmengine - INFO - Epoch(train) [32][940/1879] lr: 2.0000e-02 eta: 2 days, 8:39:50 time: 0.9252 data_time: 0.0329 memory: 11089 grad_norm: 3.8638 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.9221 loss: 1.9221 2022/08/02 04:44:27 - mmengine - INFO - Epoch(train) [32][960/1879] lr: 2.0000e-02 eta: 2 days, 8:39:34 time: 0.9489 data_time: 0.0294 memory: 11089 grad_norm: 3.8201 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7319 loss: 1.7319 2022/08/02 04:44:45 - mmengine - INFO - Epoch(train) [32][980/1879] lr: 2.0000e-02 eta: 2 days, 8:39:15 time: 0.9084 data_time: 0.0275 memory: 11089 grad_norm: 3.7517 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8458 loss: 1.8458 2022/08/02 04:45:03 - mmengine - INFO - Epoch(train) [32][1000/1879] lr: 2.0000e-02 eta: 2 days, 8:38:56 time: 0.9038 data_time: 0.0250 memory: 11089 grad_norm: 3.7391 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0403 loss: 2.0403 2022/08/02 04:45:22 - mmengine - INFO - Epoch(train) [32][1020/1879] lr: 2.0000e-02 eta: 2 days, 8:38:39 time: 0.9264 data_time: 0.0280 memory: 11089 grad_norm: 3.8303 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8629 loss: 1.8629 2022/08/02 04:45:40 - mmengine - INFO - Epoch(train) [32][1040/1879] lr: 2.0000e-02 eta: 2 days, 8:38:22 time: 0.9335 data_time: 0.0296 memory: 11089 grad_norm: 3.7987 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0480 loss: 2.0480 2022/08/02 04:45:59 - mmengine - INFO - Epoch(train) [32][1060/1879] lr: 2.0000e-02 eta: 2 days, 8:38:05 time: 0.9351 data_time: 0.0370 memory: 11089 grad_norm: 3.9214 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0407 loss: 2.0407 2022/08/02 04:46:17 - mmengine - INFO - Epoch(train) [32][1080/1879] lr: 2.0000e-02 eta: 2 days, 8:37:46 time: 0.9185 data_time: 0.0246 memory: 11089 grad_norm: 3.9369 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0319 loss: 2.0319 2022/08/02 04:46:36 - mmengine - INFO - Epoch(train) [32][1100/1879] lr: 2.0000e-02 eta: 2 days, 8:37:30 time: 0.9353 data_time: 0.0248 memory: 11089 grad_norm: 3.8558 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.9519 loss: 1.9519 2022/08/02 04:46:55 - mmengine - INFO - Epoch(train) [32][1120/1879] lr: 2.0000e-02 eta: 2 days, 8:37:14 time: 0.9520 data_time: 0.0347 memory: 11089 grad_norm: 3.8688 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0933 loss: 2.0933 2022/08/02 04:47:14 - mmengine - INFO - Epoch(train) [32][1140/1879] lr: 2.0000e-02 eta: 2 days, 8:36:57 time: 0.9355 data_time: 0.0346 memory: 11089 grad_norm: 3.8954 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2023 loss: 2.2023 2022/08/02 04:47:33 - mmengine - INFO - Epoch(train) [32][1160/1879] lr: 2.0000e-02 eta: 2 days, 8:36:40 time: 0.9382 data_time: 0.0347 memory: 11089 grad_norm: 3.9058 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1315 loss: 2.1315 2022/08/02 04:47:51 - mmengine - INFO - Epoch(train) [32][1180/1879] lr: 2.0000e-02 eta: 2 days, 8:36:23 time: 0.9243 data_time: 0.0376 memory: 11089 grad_norm: 3.8386 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9620 loss: 1.9620 2022/08/02 04:48:09 - mmengine - INFO - Epoch(train) [32][1200/1879] lr: 2.0000e-02 eta: 2 days, 8:36:03 time: 0.9028 data_time: 0.0227 memory: 11089 grad_norm: 3.8363 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9756 loss: 1.9756 2022/08/02 04:48:28 - mmengine - INFO - Epoch(train) [32][1220/1879] lr: 2.0000e-02 eta: 2 days, 8:35:47 time: 0.9400 data_time: 0.0323 memory: 11089 grad_norm: 3.9097 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9773 loss: 1.9773 2022/08/02 04:48:46 - mmengine - INFO - Epoch(train) [32][1240/1879] lr: 2.0000e-02 eta: 2 days, 8:35:29 time: 0.9168 data_time: 0.0252 memory: 11089 grad_norm: 3.8911 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0957 loss: 2.0957 2022/08/02 04:49:05 - mmengine - INFO - Epoch(train) [32][1260/1879] lr: 2.0000e-02 eta: 2 days, 8:35:10 time: 0.9167 data_time: 0.0297 memory: 11089 grad_norm: 3.8756 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1179 loss: 2.1179 2022/08/02 04:49:24 - mmengine - INFO - Epoch(train) [32][1280/1879] lr: 2.0000e-02 eta: 2 days, 8:34:55 time: 0.9577 data_time: 0.0330 memory: 11089 grad_norm: 3.8412 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0738 loss: 2.0738 2022/08/02 04:49:42 - mmengine - INFO - Epoch(train) [32][1300/1879] lr: 2.0000e-02 eta: 2 days, 8:34:37 time: 0.9266 data_time: 0.0278 memory: 11089 grad_norm: 3.8256 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0525 loss: 2.0525 2022/08/02 04:50:01 - mmengine - INFO - Epoch(train) [32][1320/1879] lr: 2.0000e-02 eta: 2 days, 8:34:18 time: 0.9072 data_time: 0.0255 memory: 11089 grad_norm: 3.7619 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9381 loss: 1.9381 2022/08/02 04:50:19 - mmengine - INFO - Epoch(train) [32][1340/1879] lr: 2.0000e-02 eta: 2 days, 8:34:01 time: 0.9223 data_time: 0.0325 memory: 11089 grad_norm: 3.7932 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7239 loss: 1.7239 2022/08/02 04:50:37 - mmengine - INFO - Epoch(train) [32][1360/1879] lr: 2.0000e-02 eta: 2 days, 8:33:42 time: 0.9185 data_time: 0.0262 memory: 11089 grad_norm: 3.8526 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0551 loss: 2.0551 2022/08/02 04:50:56 - mmengine - INFO - Epoch(train) [32][1380/1879] lr: 2.0000e-02 eta: 2 days, 8:33:26 time: 0.9355 data_time: 0.0281 memory: 11089 grad_norm: 3.9441 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1154 loss: 2.1154 2022/08/02 04:51:15 - mmengine - INFO - Epoch(train) [32][1400/1879] lr: 2.0000e-02 eta: 2 days, 8:33:09 time: 0.9401 data_time: 0.0385 memory: 11089 grad_norm: 3.7839 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8933 loss: 1.8933 2022/08/02 04:51:33 - mmengine - INFO - Epoch(train) [32][1420/1879] lr: 2.0000e-02 eta: 2 days, 8:32:51 time: 0.9148 data_time: 0.0351 memory: 11089 grad_norm: 4.0050 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1195 loss: 2.1195 2022/08/02 04:51:51 - mmengine - INFO - Epoch(train) [32][1440/1879] lr: 2.0000e-02 eta: 2 days, 8:32:31 time: 0.8996 data_time: 0.0233 memory: 11089 grad_norm: 3.8117 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.9897 loss: 1.9897 2022/08/02 04:52:09 - mmengine - INFO - Epoch(train) [32][1460/1879] lr: 2.0000e-02 eta: 2 days, 8:32:12 time: 0.9133 data_time: 0.0240 memory: 11089 grad_norm: 3.9352 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0150 loss: 2.0150 2022/08/02 04:52:28 - mmengine - INFO - Epoch(train) [32][1480/1879] lr: 2.0000e-02 eta: 2 days, 8:31:54 time: 0.9124 data_time: 0.0309 memory: 11089 grad_norm: 4.0525 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0092 loss: 2.0092 2022/08/02 04:52:46 - mmengine - INFO - Epoch(train) [32][1500/1879] lr: 2.0000e-02 eta: 2 days, 8:31:35 time: 0.9113 data_time: 0.0279 memory: 11089 grad_norm: 3.8817 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0716 loss: 2.0716 2022/08/02 04:53:04 - mmengine - INFO - Epoch(train) [32][1520/1879] lr: 2.0000e-02 eta: 2 days, 8:31:17 time: 0.9131 data_time: 0.0347 memory: 11089 grad_norm: 3.8664 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0580 loss: 2.0580 2022/08/02 04:53:22 - mmengine - INFO - Epoch(train) [32][1540/1879] lr: 2.0000e-02 eta: 2 days, 8:30:58 time: 0.9105 data_time: 0.0304 memory: 11089 grad_norm: 3.7862 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8874 loss: 1.8874 2022/08/02 04:53:41 - mmengine - INFO - Epoch(train) [32][1560/1879] lr: 2.0000e-02 eta: 2 days, 8:30:39 time: 0.9078 data_time: 0.0283 memory: 11089 grad_norm: 3.8808 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0197 loss: 2.0197 2022/08/02 04:53:59 - mmengine - INFO - Epoch(train) [32][1580/1879] lr: 2.0000e-02 eta: 2 days, 8:30:21 time: 0.9256 data_time: 0.0312 memory: 11089 grad_norm: 3.9086 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0464 loss: 2.0464 2022/08/02 04:54:17 - mmengine - INFO - Epoch(train) [32][1600/1879] lr: 2.0000e-02 eta: 2 days, 8:30:03 time: 0.9149 data_time: 0.0263 memory: 11089 grad_norm: 3.8393 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9525 loss: 1.9525 2022/08/02 04:54:36 - mmengine - INFO - Epoch(train) [32][1620/1879] lr: 2.0000e-02 eta: 2 days, 8:29:45 time: 0.9216 data_time: 0.0305 memory: 11089 grad_norm: 3.8912 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1366 loss: 2.1366 2022/08/02 04:54:54 - mmengine - INFO - Epoch(train) [32][1640/1879] lr: 2.0000e-02 eta: 2 days, 8:29:25 time: 0.8990 data_time: 0.0243 memory: 11089 grad_norm: 3.7727 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0914 loss: 2.0914 2022/08/02 04:55:12 - mmengine - INFO - Epoch(train) [32][1660/1879] lr: 2.0000e-02 eta: 2 days, 8:29:06 time: 0.9020 data_time: 0.0252 memory: 11089 grad_norm: 3.8213 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0488 loss: 2.0488 2022/08/02 04:55:31 - mmengine - INFO - Epoch(train) [32][1680/1879] lr: 2.0000e-02 eta: 2 days, 8:28:49 time: 0.9300 data_time: 0.0275 memory: 11089 grad_norm: 3.7260 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8191 loss: 1.8191 2022/08/02 04:55:49 - mmengine - INFO - Epoch(train) [32][1700/1879] lr: 2.0000e-02 eta: 2 days, 8:28:32 time: 0.9331 data_time: 0.0322 memory: 11089 grad_norm: 3.8669 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0082 loss: 2.0082 2022/08/02 04:56:08 - mmengine - INFO - Epoch(train) [32][1720/1879] lr: 2.0000e-02 eta: 2 days, 8:28:14 time: 0.9292 data_time: 0.0303 memory: 11089 grad_norm: 3.8908 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8477 loss: 1.8477 2022/08/02 04:56:27 - mmengine - INFO - Epoch(train) [32][1740/1879] lr: 2.0000e-02 eta: 2 days, 8:27:58 time: 0.9480 data_time: 0.0365 memory: 11089 grad_norm: 3.7790 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8171 loss: 1.8171 2022/08/02 04:56:37 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 04:56:45 - mmengine - INFO - Epoch(train) [32][1760/1879] lr: 2.0000e-02 eta: 2 days, 8:27:42 time: 0.9424 data_time: 0.0396 memory: 11089 grad_norm: 3.7646 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0963 loss: 2.0963 2022/08/02 04:57:04 - mmengine - INFO - Epoch(train) [32][1780/1879] lr: 2.0000e-02 eta: 2 days, 8:27:23 time: 0.9061 data_time: 0.0284 memory: 11089 grad_norm: 3.8090 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9121 loss: 1.9121 2022/08/02 04:57:22 - mmengine - INFO - Epoch(train) [32][1800/1879] lr: 2.0000e-02 eta: 2 days, 8:27:05 time: 0.9227 data_time: 0.0292 memory: 11089 grad_norm: 3.8410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0246 loss: 2.0246 2022/08/02 04:57:41 - mmengine - INFO - Epoch(train) [32][1820/1879] lr: 2.0000e-02 eta: 2 days, 8:26:48 time: 0.9345 data_time: 0.0234 memory: 11089 grad_norm: 3.8694 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0554 loss: 2.0554 2022/08/02 04:57:59 - mmengine - INFO - Epoch(train) [32][1840/1879] lr: 2.0000e-02 eta: 2 days, 8:26:30 time: 0.9230 data_time: 0.0282 memory: 11089 grad_norm: 3.8860 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0418 loss: 2.0418 2022/08/02 04:58:18 - mmengine - INFO - Epoch(train) [32][1860/1879] lr: 2.0000e-02 eta: 2 days, 8:26:12 time: 0.9231 data_time: 0.0302 memory: 11089 grad_norm: 3.9525 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0601 loss: 2.0601 2022/08/02 04:58:35 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 04:58:35 - mmengine - INFO - Epoch(train) [32][1879/1879] lr: 2.0000e-02 eta: 2 days, 8:26:12 time: 0.9241 data_time: 0.0227 memory: 11089 grad_norm: 3.9762 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.1386 loss: 2.1386 2022/08/02 04:58:35 - mmengine - INFO - Saving checkpoint at 32 epochs 2022/08/02 04:58:58 - mmengine - INFO - Epoch(train) [33][20/1879] lr: 2.0000e-02 eta: 2 days, 8:24:38 time: 0.9921 data_time: 0.1022 memory: 11089 grad_norm: 3.8092 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9472 loss: 1.9472 2022/08/02 04:59:17 - mmengine - INFO - Epoch(train) [33][40/1879] lr: 2.0000e-02 eta: 2 days, 8:24:21 time: 0.9381 data_time: 0.0272 memory: 11089 grad_norm: 3.7470 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1070 loss: 2.1070 2022/08/02 04:59:36 - mmengine - INFO - Epoch(train) [33][60/1879] lr: 2.0000e-02 eta: 2 days, 8:24:05 time: 0.9447 data_time: 0.0334 memory: 11089 grad_norm: 3.8013 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9444 loss: 1.9444 2022/08/02 04:59:54 - mmengine - INFO - Epoch(train) [33][80/1879] lr: 2.0000e-02 eta: 2 days, 8:23:46 time: 0.9066 data_time: 0.0324 memory: 11089 grad_norm: 3.9613 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0013 loss: 2.0013 2022/08/02 05:00:12 - mmengine - INFO - Epoch(train) [33][100/1879] lr: 2.0000e-02 eta: 2 days, 8:23:27 time: 0.9049 data_time: 0.0265 memory: 11089 grad_norm: 3.9501 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8133 loss: 1.8133 2022/08/02 05:00:30 - mmengine - INFO - Epoch(train) [33][120/1879] lr: 2.0000e-02 eta: 2 days, 8:23:09 time: 0.9167 data_time: 0.0226 memory: 11089 grad_norm: 3.8918 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9098 loss: 1.9098 2022/08/02 05:00:50 - mmengine - INFO - Epoch(train) [33][140/1879] lr: 2.0000e-02 eta: 2 days, 8:22:54 time: 0.9631 data_time: 0.0436 memory: 11089 grad_norm: 3.9386 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1476 loss: 2.1476 2022/08/02 05:01:08 - mmengine - INFO - Epoch(train) [33][160/1879] lr: 2.0000e-02 eta: 2 days, 8:22:36 time: 0.9293 data_time: 0.0340 memory: 11089 grad_norm: 3.8491 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9567 loss: 1.9567 2022/08/02 05:01:27 - mmengine - INFO - Epoch(train) [33][180/1879] lr: 2.0000e-02 eta: 2 days, 8:22:18 time: 0.9181 data_time: 0.0350 memory: 11089 grad_norm: 3.7584 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8744 loss: 1.8744 2022/08/02 05:01:45 - mmengine - INFO - Epoch(train) [33][200/1879] lr: 2.0000e-02 eta: 2 days, 8:22:01 time: 0.9318 data_time: 0.0317 memory: 11089 grad_norm: 3.9019 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9825 loss: 1.9825 2022/08/02 05:02:04 - mmengine - INFO - Epoch(train) [33][220/1879] lr: 2.0000e-02 eta: 2 days, 8:21:45 time: 0.9408 data_time: 0.0321 memory: 11089 grad_norm: 3.9109 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3542 loss: 2.3542 2022/08/02 05:02:23 - mmengine - INFO - Epoch(train) [33][240/1879] lr: 2.0000e-02 eta: 2 days, 8:21:27 time: 0.9319 data_time: 0.0304 memory: 11089 grad_norm: 3.8502 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9753 loss: 1.9753 2022/08/02 05:02:41 - mmengine - INFO - Epoch(train) [33][260/1879] lr: 2.0000e-02 eta: 2 days, 8:21:09 time: 0.9124 data_time: 0.0335 memory: 11089 grad_norm: 3.8008 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9820 loss: 1.9820 2022/08/02 05:02:59 - mmengine - INFO - Epoch(train) [33][280/1879] lr: 2.0000e-02 eta: 2 days, 8:20:51 time: 0.9264 data_time: 0.0257 memory: 11089 grad_norm: 3.8120 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9084 loss: 1.9084 2022/08/02 05:03:18 - mmengine - INFO - Epoch(train) [33][300/1879] lr: 2.0000e-02 eta: 2 days, 8:20:32 time: 0.9056 data_time: 0.0255 memory: 11089 grad_norm: 3.9084 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9576 loss: 1.9576 2022/08/02 05:03:36 - mmengine - INFO - Epoch(train) [33][320/1879] lr: 2.0000e-02 eta: 2 days, 8:20:13 time: 0.9068 data_time: 0.0270 memory: 11089 grad_norm: 3.9133 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8255 loss: 1.8255 2022/08/02 05:03:54 - mmengine - INFO - Epoch(train) [33][340/1879] lr: 2.0000e-02 eta: 2 days, 8:19:54 time: 0.8987 data_time: 0.0236 memory: 11089 grad_norm: 3.9340 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0191 loss: 2.0191 2022/08/02 05:04:12 - mmengine - INFO - Epoch(train) [33][360/1879] lr: 2.0000e-02 eta: 2 days, 8:19:34 time: 0.9029 data_time: 0.0243 memory: 11089 grad_norm: 3.9045 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0274 loss: 2.0274 2022/08/02 05:04:31 - mmengine - INFO - Epoch(train) [33][380/1879] lr: 2.0000e-02 eta: 2 days, 8:19:18 time: 0.9435 data_time: 0.0247 memory: 11089 grad_norm: 3.9249 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0636 loss: 2.0636 2022/08/02 05:04:49 - mmengine - INFO - Epoch(train) [33][400/1879] lr: 2.0000e-02 eta: 2 days, 8:19:00 time: 0.9151 data_time: 0.0300 memory: 11089 grad_norm: 3.8472 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9196 loss: 1.9196 2022/08/02 05:05:07 - mmengine - INFO - Epoch(train) [33][420/1879] lr: 2.0000e-02 eta: 2 days, 8:18:41 time: 0.9079 data_time: 0.0257 memory: 11089 grad_norm: 3.9312 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9956 loss: 1.9956 2022/08/02 05:05:26 - mmengine - INFO - Epoch(train) [33][440/1879] lr: 2.0000e-02 eta: 2 days, 8:18:24 time: 0.9318 data_time: 0.0284 memory: 11089 grad_norm: 3.8605 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8031 loss: 1.8031 2022/08/02 05:05:44 - mmengine - INFO - Epoch(train) [33][460/1879] lr: 2.0000e-02 eta: 2 days, 8:18:05 time: 0.9080 data_time: 0.0307 memory: 11089 grad_norm: 3.8641 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0516 loss: 2.0516 2022/08/02 05:06:02 - mmengine - INFO - Epoch(train) [33][480/1879] lr: 2.0000e-02 eta: 2 days, 8:17:47 time: 0.9221 data_time: 0.0323 memory: 11089 grad_norm: 3.9539 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9570 loss: 1.9570 2022/08/02 05:06:21 - mmengine - INFO - Epoch(train) [33][500/1879] lr: 2.0000e-02 eta: 2 days, 8:17:30 time: 0.9353 data_time: 0.0358 memory: 11089 grad_norm: 3.8409 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9490 loss: 1.9490 2022/08/02 05:06:40 - mmengine - INFO - Epoch(train) [33][520/1879] lr: 2.0000e-02 eta: 2 days, 8:17:13 time: 0.9294 data_time: 0.0269 memory: 11089 grad_norm: 3.9566 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7876 loss: 1.7876 2022/08/02 05:06:58 - mmengine - INFO - Epoch(train) [33][540/1879] lr: 2.0000e-02 eta: 2 days, 8:16:55 time: 0.9274 data_time: 0.0273 memory: 11089 grad_norm: 3.8957 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6548 loss: 1.6548 2022/08/02 05:07:17 - mmengine - INFO - Epoch(train) [33][560/1879] lr: 2.0000e-02 eta: 2 days, 8:16:40 time: 0.9619 data_time: 0.0453 memory: 11089 grad_norm: 3.9325 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8624 loss: 1.8624 2022/08/02 05:07:36 - mmengine - INFO - Epoch(train) [33][580/1879] lr: 2.0000e-02 eta: 2 days, 8:16:24 time: 0.9480 data_time: 0.0312 memory: 11089 grad_norm: 3.8682 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7702 loss: 1.7702 2022/08/02 05:07:55 - mmengine - INFO - Epoch(train) [33][600/1879] lr: 2.0000e-02 eta: 2 days, 8:16:07 time: 0.9344 data_time: 0.0267 memory: 11089 grad_norm: 3.9431 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.8301 loss: 1.8301 2022/08/02 05:08:13 - mmengine - INFO - Epoch(train) [33][620/1879] lr: 2.0000e-02 eta: 2 days, 8:15:49 time: 0.9179 data_time: 0.0272 memory: 11089 grad_norm: 3.7903 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9574 loss: 1.9574 2022/08/02 05:08:32 - mmengine - INFO - Epoch(train) [33][640/1879] lr: 2.0000e-02 eta: 2 days, 8:15:30 time: 0.9140 data_time: 0.0287 memory: 11089 grad_norm: 3.8783 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1421 loss: 2.1421 2022/08/02 05:08:50 - mmengine - INFO - Epoch(train) [33][660/1879] lr: 2.0000e-02 eta: 2 days, 8:15:12 time: 0.9180 data_time: 0.0367 memory: 11089 grad_norm: 3.8535 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0165 loss: 2.0165 2022/08/02 05:09:08 - mmengine - INFO - Epoch(train) [33][680/1879] lr: 2.0000e-02 eta: 2 days, 8:14:54 time: 0.9204 data_time: 0.0277 memory: 11089 grad_norm: 3.9175 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0447 loss: 2.0447 2022/08/02 05:09:27 - mmengine - INFO - Epoch(train) [33][700/1879] lr: 2.0000e-02 eta: 2 days, 8:14:37 time: 0.9362 data_time: 0.0315 memory: 11089 grad_norm: 3.8932 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7965 loss: 1.7965 2022/08/02 05:09:45 - mmengine - INFO - Epoch(train) [33][720/1879] lr: 2.0000e-02 eta: 2 days, 8:14:18 time: 0.9005 data_time: 0.0280 memory: 11089 grad_norm: 3.9507 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9688 loss: 1.9688 2022/08/02 05:10:03 - mmengine - INFO - Epoch(train) [33][740/1879] lr: 2.0000e-02 eta: 2 days, 8:13:58 time: 0.8936 data_time: 0.0271 memory: 11089 grad_norm: 3.8338 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8861 loss: 1.8861 2022/08/02 05:10:21 - mmengine - INFO - Epoch(train) [33][760/1879] lr: 2.0000e-02 eta: 2 days, 8:13:40 time: 0.9192 data_time: 0.0275 memory: 11089 grad_norm: 3.7796 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9113 loss: 1.9113 2022/08/02 05:10:40 - mmengine - INFO - Epoch(train) [33][780/1879] lr: 2.0000e-02 eta: 2 days, 8:13:23 time: 0.9360 data_time: 0.0256 memory: 11089 grad_norm: 3.7979 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8616 loss: 1.8616 2022/08/02 05:10:59 - mmengine - INFO - Epoch(train) [33][800/1879] lr: 2.0000e-02 eta: 2 days, 8:13:05 time: 0.9255 data_time: 0.0330 memory: 11089 grad_norm: 3.8157 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9254 loss: 1.9254 2022/08/02 05:11:17 - mmengine - INFO - Epoch(train) [33][820/1879] lr: 2.0000e-02 eta: 2 days, 8:12:47 time: 0.9116 data_time: 0.0241 memory: 11089 grad_norm: 3.8354 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9849 loss: 1.9849 2022/08/02 05:11:35 - mmengine - INFO - Epoch(train) [33][840/1879] lr: 2.0000e-02 eta: 2 days, 8:12:29 time: 0.9230 data_time: 0.0261 memory: 11089 grad_norm: 3.9286 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0796 loss: 2.0796 2022/08/02 05:11:54 - mmengine - INFO - Epoch(train) [33][860/1879] lr: 2.0000e-02 eta: 2 days, 8:12:12 time: 0.9363 data_time: 0.0251 memory: 11089 grad_norm: 3.8591 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9514 loss: 1.9514 2022/08/02 05:12:06 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 05:12:13 - mmengine - INFO - Epoch(train) [33][880/1879] lr: 2.0000e-02 eta: 2 days, 8:11:57 time: 0.9563 data_time: 0.0376 memory: 11089 grad_norm: 3.9233 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0250 loss: 2.0250 2022/08/02 05:12:32 - mmengine - INFO - Epoch(train) [33][900/1879] lr: 2.0000e-02 eta: 2 days, 8:11:41 time: 0.9538 data_time: 0.0295 memory: 11089 grad_norm: 3.8842 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9547 loss: 1.9547 2022/08/02 05:12:51 - mmengine - INFO - Epoch(train) [33][920/1879] lr: 2.0000e-02 eta: 2 days, 8:11:23 time: 0.9206 data_time: 0.0364 memory: 11089 grad_norm: 3.7821 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 2.0355 loss: 2.0355 2022/08/02 05:13:09 - mmengine - INFO - Epoch(train) [33][940/1879] lr: 2.0000e-02 eta: 2 days, 8:11:06 time: 0.9325 data_time: 0.0306 memory: 11089 grad_norm: 3.9036 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0600 loss: 2.0600 2022/08/02 05:13:27 - mmengine - INFO - Epoch(train) [33][960/1879] lr: 2.0000e-02 eta: 2 days, 8:10:46 time: 0.8998 data_time: 0.0240 memory: 11089 grad_norm: 3.8356 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7396 loss: 1.7396 2022/08/02 05:13:45 - mmengine - INFO - Epoch(train) [33][980/1879] lr: 2.0000e-02 eta: 2 days, 8:10:27 time: 0.9019 data_time: 0.0263 memory: 11089 grad_norm: 3.8599 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0162 loss: 2.0162 2022/08/02 05:14:03 - mmengine - INFO - Epoch(train) [33][1000/1879] lr: 2.0000e-02 eta: 2 days, 8:10:07 time: 0.8886 data_time: 0.0189 memory: 11089 grad_norm: 3.9532 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9423 loss: 1.9423 2022/08/02 05:14:22 - mmengine - INFO - Epoch(train) [33][1020/1879] lr: 2.0000e-02 eta: 2 days, 8:09:49 time: 0.9265 data_time: 0.0270 memory: 11089 grad_norm: 3.7845 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9047 loss: 1.9047 2022/08/02 05:14:40 - mmengine - INFO - Epoch(train) [33][1040/1879] lr: 2.0000e-02 eta: 2 days, 8:09:31 time: 0.9138 data_time: 0.0275 memory: 11089 grad_norm: 3.8884 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0097 loss: 2.0097 2022/08/02 05:14:59 - mmengine - INFO - Epoch(train) [33][1060/1879] lr: 2.0000e-02 eta: 2 days, 8:09:15 time: 0.9482 data_time: 0.0371 memory: 11089 grad_norm: 3.8589 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9168 loss: 1.9168 2022/08/02 05:15:17 - mmengine - INFO - Epoch(train) [33][1080/1879] lr: 2.0000e-02 eta: 2 days, 8:08:57 time: 0.9209 data_time: 0.0305 memory: 11089 grad_norm: 3.9721 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9496 loss: 1.9496 2022/08/02 05:15:36 - mmengine - INFO - Epoch(train) [33][1100/1879] lr: 2.0000e-02 eta: 2 days, 8:08:38 time: 0.9180 data_time: 0.0371 memory: 11089 grad_norm: 3.8712 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1127 loss: 2.1127 2022/08/02 05:15:54 - mmengine - INFO - Epoch(train) [33][1120/1879] lr: 2.0000e-02 eta: 2 days, 8:08:21 time: 0.9272 data_time: 0.0296 memory: 11089 grad_norm: 3.8493 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1219 loss: 2.1219 2022/08/02 05:16:13 - mmengine - INFO - Epoch(train) [33][1140/1879] lr: 2.0000e-02 eta: 2 days, 8:08:03 time: 0.9275 data_time: 0.0344 memory: 11089 grad_norm: 3.9422 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7165 loss: 1.7165 2022/08/02 05:16:32 - mmengine - INFO - Epoch(train) [33][1160/1879] lr: 2.0000e-02 eta: 2 days, 8:07:46 time: 0.9355 data_time: 0.0303 memory: 11089 grad_norm: 3.9189 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9586 loss: 1.9586 2022/08/02 05:16:50 - mmengine - INFO - Epoch(train) [33][1180/1879] lr: 2.0000e-02 eta: 2 days, 8:07:27 time: 0.9053 data_time: 0.0232 memory: 11089 grad_norm: 3.8745 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8462 loss: 1.8462 2022/08/02 05:17:08 - mmengine - INFO - Epoch(train) [33][1200/1879] lr: 2.0000e-02 eta: 2 days, 8:07:09 time: 0.9224 data_time: 0.0291 memory: 11089 grad_norm: 3.9154 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0039 loss: 2.0039 2022/08/02 05:17:27 - mmengine - INFO - Epoch(train) [33][1220/1879] lr: 2.0000e-02 eta: 2 days, 8:06:52 time: 0.9225 data_time: 0.0286 memory: 11089 grad_norm: 3.7956 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9111 loss: 1.9111 2022/08/02 05:17:45 - mmengine - INFO - Epoch(train) [33][1240/1879] lr: 2.0000e-02 eta: 2 days, 8:06:33 time: 0.9134 data_time: 0.0292 memory: 11089 grad_norm: 3.8573 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0483 loss: 2.0483 2022/08/02 05:18:03 - mmengine - INFO - Epoch(train) [33][1260/1879] lr: 2.0000e-02 eta: 2 days, 8:06:14 time: 0.8993 data_time: 0.0234 memory: 11089 grad_norm: 3.8567 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9691 loss: 1.9691 2022/08/02 05:18:22 - mmengine - INFO - Epoch(train) [33][1280/1879] lr: 2.0000e-02 eta: 2 days, 8:05:57 time: 0.9380 data_time: 0.0350 memory: 11089 grad_norm: 3.8567 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0478 loss: 2.0478 2022/08/02 05:18:40 - mmengine - INFO - Epoch(train) [33][1300/1879] lr: 2.0000e-02 eta: 2 days, 8:05:38 time: 0.9126 data_time: 0.0277 memory: 11089 grad_norm: 3.9649 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1490 loss: 2.1490 2022/08/02 05:18:58 - mmengine - INFO - Epoch(train) [33][1320/1879] lr: 2.0000e-02 eta: 2 days, 8:05:21 time: 0.9251 data_time: 0.0348 memory: 11089 grad_norm: 3.9371 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9150 loss: 1.9150 2022/08/02 05:19:17 - mmengine - INFO - Epoch(train) [33][1340/1879] lr: 2.0000e-02 eta: 2 days, 8:05:02 time: 0.9115 data_time: 0.0212 memory: 11089 grad_norm: 3.8668 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0455 loss: 2.0455 2022/08/02 05:19:35 - mmengine - INFO - Epoch(train) [33][1360/1879] lr: 2.0000e-02 eta: 2 days, 8:04:43 time: 0.9135 data_time: 0.0247 memory: 11089 grad_norm: 3.8407 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9687 loss: 1.9687 2022/08/02 05:19:53 - mmengine - INFO - Epoch(train) [33][1380/1879] lr: 2.0000e-02 eta: 2 days, 8:04:26 time: 0.9261 data_time: 0.0315 memory: 11089 grad_norm: 3.9228 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0337 loss: 2.0337 2022/08/02 05:20:11 - mmengine - INFO - Epoch(train) [33][1400/1879] lr: 2.0000e-02 eta: 2 days, 8:04:07 time: 0.9038 data_time: 0.0309 memory: 11089 grad_norm: 3.9125 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9899 loss: 1.9899 2022/08/02 05:20:30 - mmengine - INFO - Epoch(train) [33][1420/1879] lr: 2.0000e-02 eta: 2 days, 8:03:49 time: 0.9265 data_time: 0.0309 memory: 11089 grad_norm: 3.8733 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0793 loss: 2.0793 2022/08/02 05:20:48 - mmengine - INFO - Epoch(train) [33][1440/1879] lr: 2.0000e-02 eta: 2 days, 8:03:32 time: 0.9276 data_time: 0.0325 memory: 11089 grad_norm: 3.8885 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8369 loss: 1.8369 2022/08/02 05:21:07 - mmengine - INFO - Epoch(train) [33][1460/1879] lr: 2.0000e-02 eta: 2 days, 8:03:13 time: 0.9083 data_time: 0.0224 memory: 11089 grad_norm: 3.8025 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9840 loss: 1.9840 2022/08/02 05:21:25 - mmengine - INFO - Epoch(train) [33][1480/1879] lr: 2.0000e-02 eta: 2 days, 8:02:53 time: 0.8947 data_time: 0.0297 memory: 11089 grad_norm: 3.8481 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9225 loss: 1.9225 2022/08/02 05:21:42 - mmengine - INFO - Epoch(train) [33][1500/1879] lr: 2.0000e-02 eta: 2 days, 8:02:33 time: 0.8940 data_time: 0.0224 memory: 11089 grad_norm: 3.9026 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.1635 loss: 2.1635 2022/08/02 05:22:01 - mmengine - INFO - Epoch(train) [33][1520/1879] lr: 2.0000e-02 eta: 2 days, 8:02:14 time: 0.9097 data_time: 0.0250 memory: 11089 grad_norm: 3.8993 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9434 loss: 1.9434 2022/08/02 05:22:19 - mmengine - INFO - Epoch(train) [33][1540/1879] lr: 2.0000e-02 eta: 2 days, 8:01:56 time: 0.9250 data_time: 0.0276 memory: 11089 grad_norm: 3.8677 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9313 loss: 1.9313 2022/08/02 05:22:38 - mmengine - INFO - Epoch(train) [33][1560/1879] lr: 2.0000e-02 eta: 2 days, 8:01:38 time: 0.9214 data_time: 0.0238 memory: 11089 grad_norm: 3.8700 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0190 loss: 2.0190 2022/08/02 05:22:57 - mmengine - INFO - Epoch(train) [33][1580/1879] lr: 2.0000e-02 eta: 2 days, 8:01:23 time: 0.9551 data_time: 0.0306 memory: 11089 grad_norm: 3.8549 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2488 loss: 2.2488 2022/08/02 05:23:15 - mmengine - INFO - Epoch(train) [33][1600/1879] lr: 2.0000e-02 eta: 2 days, 8:01:04 time: 0.9067 data_time: 0.0279 memory: 11089 grad_norm: 3.7767 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0576 loss: 2.0576 2022/08/02 05:23:33 - mmengine - INFO - Epoch(train) [33][1620/1879] lr: 2.0000e-02 eta: 2 days, 8:00:45 time: 0.9117 data_time: 0.0294 memory: 11089 grad_norm: 3.8898 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9191 loss: 1.9191 2022/08/02 05:23:51 - mmengine - INFO - Epoch(train) [33][1640/1879] lr: 2.0000e-02 eta: 2 days, 8:00:27 time: 0.9197 data_time: 0.0243 memory: 11089 grad_norm: 3.9055 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8855 loss: 1.8855 2022/08/02 05:24:10 - mmengine - INFO - Epoch(train) [33][1660/1879] lr: 2.0000e-02 eta: 2 days, 8:00:09 time: 0.9205 data_time: 0.0264 memory: 11089 grad_norm: 3.8987 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8985 loss: 1.8985 2022/08/02 05:24:28 - mmengine - INFO - Epoch(train) [33][1680/1879] lr: 2.0000e-02 eta: 2 days, 7:59:50 time: 0.9081 data_time: 0.0247 memory: 11089 grad_norm: 3.8685 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0307 loss: 2.0307 2022/08/02 05:24:47 - mmengine - INFO - Epoch(train) [33][1700/1879] lr: 2.0000e-02 eta: 2 days, 7:59:33 time: 0.9258 data_time: 0.0281 memory: 11089 grad_norm: 3.8043 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9266 loss: 1.9266 2022/08/02 05:25:05 - mmengine - INFO - Epoch(train) [33][1720/1879] lr: 2.0000e-02 eta: 2 days, 7:59:14 time: 0.9049 data_time: 0.0237 memory: 11089 grad_norm: 3.9206 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0588 loss: 2.0588 2022/08/02 05:25:23 - mmengine - INFO - Epoch(train) [33][1740/1879] lr: 2.0000e-02 eta: 2 days, 7:58:56 time: 0.9329 data_time: 0.0261 memory: 11089 grad_norm: 3.9015 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1167 loss: 2.1167 2022/08/02 05:25:42 - mmengine - INFO - Epoch(train) [33][1760/1879] lr: 2.0000e-02 eta: 2 days, 7:58:41 time: 0.9548 data_time: 0.0415 memory: 11089 grad_norm: 3.8231 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7965 loss: 1.7965 2022/08/02 05:26:00 - mmengine - INFO - Epoch(train) [33][1780/1879] lr: 2.0000e-02 eta: 2 days, 7:58:21 time: 0.8994 data_time: 0.0255 memory: 11089 grad_norm: 3.8337 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9145 loss: 1.9145 2022/08/02 05:26:19 - mmengine - INFO - Epoch(train) [33][1800/1879] lr: 2.0000e-02 eta: 2 days, 7:58:02 time: 0.9072 data_time: 0.0265 memory: 11089 grad_norm: 3.8374 top1_acc: 0.1875 top5_acc: 0.8125 loss_cls: 1.8943 loss: 1.8943 2022/08/02 05:26:37 - mmengine - INFO - Epoch(train) [33][1820/1879] lr: 2.0000e-02 eta: 2 days, 7:57:44 time: 0.9096 data_time: 0.0300 memory: 11089 grad_norm: 3.9274 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0295 loss: 2.0295 2022/08/02 05:26:56 - mmengine - INFO - Epoch(train) [33][1840/1879] lr: 2.0000e-02 eta: 2 days, 7:57:27 time: 0.9386 data_time: 0.0300 memory: 11089 grad_norm: 3.7598 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1620 loss: 2.1620 2022/08/02 05:27:14 - mmengine - INFO - Epoch(train) [33][1860/1879] lr: 2.0000e-02 eta: 2 days, 7:57:10 time: 0.9418 data_time: 0.0324 memory: 11089 grad_norm: 3.7361 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9114 loss: 1.9114 2022/08/02 05:27:25 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 05:27:31 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 05:27:31 - mmengine - INFO - Epoch(train) [33][1879/1879] lr: 2.0000e-02 eta: 2 days, 7:57:10 time: 0.8819 data_time: 0.0252 memory: 11089 grad_norm: 3.9511 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.0152 loss: 2.0152 2022/08/02 05:27:52 - mmengine - INFO - Epoch(train) [34][20/1879] lr: 2.0000e-02 eta: 2 days, 7:55:41 time: 1.0269 data_time: 0.1348 memory: 11089 grad_norm: 3.8577 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9157 loss: 1.9157 2022/08/02 05:28:10 - mmengine - INFO - Epoch(train) [34][40/1879] lr: 2.0000e-02 eta: 2 days, 7:55:22 time: 0.9138 data_time: 0.0299 memory: 11089 grad_norm: 3.9512 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0021 loss: 2.0021 2022/08/02 05:28:28 - mmengine - INFO - Epoch(train) [34][60/1879] lr: 2.0000e-02 eta: 2 days, 7:55:04 time: 0.9191 data_time: 0.0360 memory: 11089 grad_norm: 3.9093 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9531 loss: 1.9531 2022/08/02 05:28:47 - mmengine - INFO - Epoch(train) [34][80/1879] lr: 2.0000e-02 eta: 2 days, 7:54:46 time: 0.9126 data_time: 0.0291 memory: 11089 grad_norm: 3.8173 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7112 loss: 1.7112 2022/08/02 05:29:05 - mmengine - INFO - Epoch(train) [34][100/1879] lr: 2.0000e-02 eta: 2 days, 7:54:29 time: 0.9396 data_time: 0.0297 memory: 11089 grad_norm: 3.8169 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8762 loss: 1.8762 2022/08/02 05:29:24 - mmengine - INFO - Epoch(train) [34][120/1879] lr: 2.0000e-02 eta: 2 days, 7:54:12 time: 0.9353 data_time: 0.0346 memory: 11089 grad_norm: 3.9418 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0002 loss: 2.0002 2022/08/02 05:29:43 - mmengine - INFO - Epoch(train) [34][140/1879] lr: 2.0000e-02 eta: 2 days, 7:53:56 time: 0.9430 data_time: 0.0251 memory: 11089 grad_norm: 3.9528 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1313 loss: 2.1313 2022/08/02 05:30:01 - mmengine - INFO - Epoch(train) [34][160/1879] lr: 2.0000e-02 eta: 2 days, 7:53:37 time: 0.9156 data_time: 0.0332 memory: 11089 grad_norm: 3.9348 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1967 loss: 2.1967 2022/08/02 05:30:19 - mmengine - INFO - Epoch(train) [34][180/1879] lr: 2.0000e-02 eta: 2 days, 7:53:18 time: 0.9073 data_time: 0.0274 memory: 11089 grad_norm: 4.0105 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9633 loss: 1.9633 2022/08/02 05:30:38 - mmengine - INFO - Epoch(train) [34][200/1879] lr: 2.0000e-02 eta: 2 days, 7:53:00 time: 0.9149 data_time: 0.0259 memory: 11089 grad_norm: 3.7817 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8414 loss: 1.8414 2022/08/02 05:30:56 - mmengine - INFO - Epoch(train) [34][220/1879] lr: 2.0000e-02 eta: 2 days, 7:52:42 time: 0.9137 data_time: 0.0304 memory: 11089 grad_norm: 3.8618 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1353 loss: 2.1353 2022/08/02 05:31:14 - mmengine - INFO - Epoch(train) [34][240/1879] lr: 2.0000e-02 eta: 2 days, 7:52:23 time: 0.9075 data_time: 0.0290 memory: 11089 grad_norm: 3.9278 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0989 loss: 2.0989 2022/08/02 05:31:33 - mmengine - INFO - Epoch(train) [34][260/1879] lr: 2.0000e-02 eta: 2 days, 7:52:04 time: 0.9148 data_time: 0.0275 memory: 11089 grad_norm: 3.8638 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1556 loss: 2.1556 2022/08/02 05:31:51 - mmengine - INFO - Epoch(train) [34][280/1879] lr: 2.0000e-02 eta: 2 days, 7:51:48 time: 0.9399 data_time: 0.0339 memory: 11089 grad_norm: 3.8926 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8128 loss: 1.8128 2022/08/02 05:32:10 - mmengine - INFO - Epoch(train) [34][300/1879] lr: 2.0000e-02 eta: 2 days, 7:51:31 time: 0.9394 data_time: 0.0344 memory: 11089 grad_norm: 3.9203 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1010 loss: 2.1010 2022/08/02 05:32:28 - mmengine - INFO - Epoch(train) [34][320/1879] lr: 2.0000e-02 eta: 2 days, 7:51:12 time: 0.9051 data_time: 0.0285 memory: 11089 grad_norm: 3.9782 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9774 loss: 1.9774 2022/08/02 05:32:47 - mmengine - INFO - Epoch(train) [34][340/1879] lr: 2.0000e-02 eta: 2 days, 7:50:54 time: 0.9171 data_time: 0.0301 memory: 11089 grad_norm: 3.9950 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8502 loss: 1.8502 2022/08/02 05:33:05 - mmengine - INFO - Epoch(train) [34][360/1879] lr: 2.0000e-02 eta: 2 days, 7:50:36 time: 0.9239 data_time: 0.0266 memory: 11089 grad_norm: 3.7529 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8220 loss: 1.8220 2022/08/02 05:33:23 - mmengine - INFO - Epoch(train) [34][380/1879] lr: 2.0000e-02 eta: 2 days, 7:50:17 time: 0.9118 data_time: 0.0294 memory: 11089 grad_norm: 3.8633 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9367 loss: 1.9367 2022/08/02 05:33:41 - mmengine - INFO - Epoch(train) [34][400/1879] lr: 2.0000e-02 eta: 2 days, 7:49:58 time: 0.9032 data_time: 0.0297 memory: 11089 grad_norm: 3.7673 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8380 loss: 1.8380 2022/08/02 05:34:00 - mmengine - INFO - Epoch(train) [34][420/1879] lr: 2.0000e-02 eta: 2 days, 7:49:41 time: 0.9404 data_time: 0.0304 memory: 11089 grad_norm: 3.8051 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0472 loss: 2.0472 2022/08/02 05:34:19 - mmengine - INFO - Epoch(train) [34][440/1879] lr: 2.0000e-02 eta: 2 days, 7:49:26 time: 0.9528 data_time: 0.0307 memory: 11089 grad_norm: 3.8502 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1043 loss: 2.1043 2022/08/02 05:34:37 - mmengine - INFO - Epoch(train) [34][460/1879] lr: 2.0000e-02 eta: 2 days, 7:49:07 time: 0.9109 data_time: 0.0300 memory: 11089 grad_norm: 3.9085 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0328 loss: 2.0328 2022/08/02 05:34:55 - mmengine - INFO - Epoch(train) [34][480/1879] lr: 2.0000e-02 eta: 2 days, 7:48:48 time: 0.9023 data_time: 0.0246 memory: 11089 grad_norm: 3.8162 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9183 loss: 1.9183 2022/08/02 05:35:14 - mmengine - INFO - Epoch(train) [34][500/1879] lr: 2.0000e-02 eta: 2 days, 7:48:29 time: 0.9124 data_time: 0.0275 memory: 11089 grad_norm: 3.8364 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0493 loss: 2.0493 2022/08/02 05:35:32 - mmengine - INFO - Epoch(train) [34][520/1879] lr: 2.0000e-02 eta: 2 days, 7:48:11 time: 0.9178 data_time: 0.0258 memory: 11089 grad_norm: 3.9225 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0064 loss: 2.0064 2022/08/02 05:35:50 - mmengine - INFO - Epoch(train) [34][540/1879] lr: 2.0000e-02 eta: 2 days, 7:47:53 time: 0.9226 data_time: 0.0246 memory: 11089 grad_norm: 3.9779 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9019 loss: 1.9019 2022/08/02 05:36:09 - mmengine - INFO - Epoch(train) [34][560/1879] lr: 2.0000e-02 eta: 2 days, 7:47:36 time: 0.9333 data_time: 0.0271 memory: 11089 grad_norm: 3.8562 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9528 loss: 1.9528 2022/08/02 05:36:28 - mmengine - INFO - Epoch(train) [34][580/1879] lr: 2.0000e-02 eta: 2 days, 7:47:18 time: 0.9166 data_time: 0.0260 memory: 11089 grad_norm: 3.8348 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9531 loss: 1.9531 2022/08/02 05:36:46 - mmengine - INFO - Epoch(train) [34][600/1879] lr: 2.0000e-02 eta: 2 days, 7:46:59 time: 0.9105 data_time: 0.0273 memory: 11089 grad_norm: 3.9372 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9881 loss: 1.9881 2022/08/02 05:37:04 - mmengine - INFO - Epoch(train) [34][620/1879] lr: 2.0000e-02 eta: 2 days, 7:46:41 time: 0.9178 data_time: 0.0294 memory: 11089 grad_norm: 3.9002 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9727 loss: 1.9727 2022/08/02 05:37:22 - mmengine - INFO - Epoch(train) [34][640/1879] lr: 2.0000e-02 eta: 2 days, 7:46:22 time: 0.9153 data_time: 0.0227 memory: 11089 grad_norm: 3.8194 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8540 loss: 1.8540 2022/08/02 05:37:41 - mmengine - INFO - Epoch(train) [34][660/1879] lr: 2.0000e-02 eta: 2 days, 7:46:04 time: 0.9124 data_time: 0.0259 memory: 11089 grad_norm: 3.9009 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8170 loss: 1.8170 2022/08/02 05:37:59 - mmengine - INFO - Epoch(train) [34][680/1879] lr: 2.0000e-02 eta: 2 days, 7:45:47 time: 0.9426 data_time: 0.0322 memory: 11089 grad_norm: 3.9483 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0182 loss: 2.0182 2022/08/02 05:38:18 - mmengine - INFO - Epoch(train) [34][700/1879] lr: 2.0000e-02 eta: 2 days, 7:45:29 time: 0.9171 data_time: 0.0260 memory: 11089 grad_norm: 3.9398 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0366 loss: 2.0366 2022/08/02 05:38:36 - mmengine - INFO - Epoch(train) [34][720/1879] lr: 2.0000e-02 eta: 2 days, 7:45:10 time: 0.9055 data_time: 0.0306 memory: 11089 grad_norm: 3.8815 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8233 loss: 1.8233 2022/08/02 05:38:55 - mmengine - INFO - Epoch(train) [34][740/1879] lr: 2.0000e-02 eta: 2 days, 7:44:54 time: 0.9436 data_time: 0.0299 memory: 11089 grad_norm: 3.8299 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8849 loss: 1.8849 2022/08/02 05:39:13 - mmengine - INFO - Epoch(train) [34][760/1879] lr: 2.0000e-02 eta: 2 days, 7:44:36 time: 0.9182 data_time: 0.0290 memory: 11089 grad_norm: 3.9100 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7641 loss: 1.7641 2022/08/02 05:39:31 - mmengine - INFO - Epoch(train) [34][780/1879] lr: 2.0000e-02 eta: 2 days, 7:44:17 time: 0.9081 data_time: 0.0271 memory: 11089 grad_norm: 4.0226 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0737 loss: 2.0737 2022/08/02 05:39:50 - mmengine - INFO - Epoch(train) [34][800/1879] lr: 2.0000e-02 eta: 2 days, 7:43:59 time: 0.9189 data_time: 0.0253 memory: 11089 grad_norm: 3.8897 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9006 loss: 1.9006 2022/08/02 05:40:08 - mmengine - INFO - Epoch(train) [34][820/1879] lr: 2.0000e-02 eta: 2 days, 7:43:40 time: 0.9101 data_time: 0.0235 memory: 11089 grad_norm: 3.8927 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9742 loss: 1.9742 2022/08/02 05:40:26 - mmengine - INFO - Epoch(train) [34][840/1879] lr: 2.0000e-02 eta: 2 days, 7:43:21 time: 0.9052 data_time: 0.0279 memory: 11089 grad_norm: 3.8545 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0955 loss: 2.0955 2022/08/02 05:40:45 - mmengine - INFO - Epoch(train) [34][860/1879] lr: 2.0000e-02 eta: 2 days, 7:43:03 time: 0.9252 data_time: 0.0291 memory: 11089 grad_norm: 3.8785 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8651 loss: 1.8651 2022/08/02 05:41:03 - mmengine - INFO - Epoch(train) [34][880/1879] lr: 2.0000e-02 eta: 2 days, 7:42:45 time: 0.9254 data_time: 0.0229 memory: 11089 grad_norm: 3.8556 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7747 loss: 1.7747 2022/08/02 05:41:21 - mmengine - INFO - Epoch(train) [34][900/1879] lr: 2.0000e-02 eta: 2 days, 7:42:27 time: 0.9156 data_time: 0.0224 memory: 11089 grad_norm: 3.9611 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9370 loss: 1.9370 2022/08/02 05:41:39 - mmengine - INFO - Epoch(train) [34][920/1879] lr: 2.0000e-02 eta: 2 days, 7:42:07 time: 0.8947 data_time: 0.0279 memory: 11089 grad_norm: 3.8671 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7525 loss: 1.7525 2022/08/02 05:41:58 - mmengine - INFO - Epoch(train) [34][940/1879] lr: 2.0000e-02 eta: 2 days, 7:41:49 time: 0.9225 data_time: 0.0221 memory: 11089 grad_norm: 3.8718 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9824 loss: 1.9824 2022/08/02 05:42:16 - mmengine - INFO - Epoch(train) [34][960/1879] lr: 2.0000e-02 eta: 2 days, 7:41:30 time: 0.9063 data_time: 0.0260 memory: 11089 grad_norm: 3.8139 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0095 loss: 2.0095 2022/08/02 05:42:34 - mmengine - INFO - Epoch(train) [34][980/1879] lr: 2.0000e-02 eta: 2 days, 7:41:12 time: 0.9185 data_time: 0.0301 memory: 11089 grad_norm: 3.9386 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0139 loss: 2.0139 2022/08/02 05:42:46 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 05:42:53 - mmengine - INFO - Epoch(train) [34][1000/1879] lr: 2.0000e-02 eta: 2 days, 7:40:55 time: 0.9290 data_time: 0.0334 memory: 11089 grad_norm: 3.8001 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.9398 loss: 1.9398 2022/08/02 05:43:11 - mmengine - INFO - Epoch(train) [34][1020/1879] lr: 2.0000e-02 eta: 2 days, 7:40:37 time: 0.9229 data_time: 0.0258 memory: 11089 grad_norm: 3.8496 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0707 loss: 2.0707 2022/08/02 05:43:30 - mmengine - INFO - Epoch(train) [34][1040/1879] lr: 2.0000e-02 eta: 2 days, 7:40:20 time: 0.9293 data_time: 0.0272 memory: 11089 grad_norm: 3.9024 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0455 loss: 2.0455 2022/08/02 05:43:48 - mmengine - INFO - Epoch(train) [34][1060/1879] lr: 2.0000e-02 eta: 2 days, 7:40:02 time: 0.9279 data_time: 0.0303 memory: 11089 grad_norm: 3.8523 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8840 loss: 1.8840 2022/08/02 05:44:07 - mmengine - INFO - Epoch(train) [34][1080/1879] lr: 2.0000e-02 eta: 2 days, 7:39:43 time: 0.9071 data_time: 0.0240 memory: 11089 grad_norm: 3.9189 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9842 loss: 1.9842 2022/08/02 05:44:25 - mmengine - INFO - Epoch(train) [34][1100/1879] lr: 2.0000e-02 eta: 2 days, 7:39:27 time: 0.9447 data_time: 0.0272 memory: 11089 grad_norm: 3.9041 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9833 loss: 1.9833 2022/08/02 05:44:44 - mmengine - INFO - Epoch(train) [34][1120/1879] lr: 2.0000e-02 eta: 2 days, 7:39:11 time: 0.9511 data_time: 0.0346 memory: 11089 grad_norm: 3.8534 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9073 loss: 1.9073 2022/08/02 05:45:03 - mmengine - INFO - Epoch(train) [34][1140/1879] lr: 2.0000e-02 eta: 2 days, 7:38:54 time: 0.9343 data_time: 0.0325 memory: 11089 grad_norm: 3.8585 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0188 loss: 2.0188 2022/08/02 05:45:21 - mmengine - INFO - Epoch(train) [34][1160/1879] lr: 2.0000e-02 eta: 2 days, 7:38:35 time: 0.9105 data_time: 0.0295 memory: 11089 grad_norm: 3.8708 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.8486 loss: 1.8486 2022/08/02 05:45:40 - mmengine - INFO - Epoch(train) [34][1180/1879] lr: 2.0000e-02 eta: 2 days, 7:38:17 time: 0.9135 data_time: 0.0281 memory: 11089 grad_norm: 3.9259 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7850 loss: 1.7850 2022/08/02 05:45:58 - mmengine - INFO - Epoch(train) [34][1200/1879] lr: 2.0000e-02 eta: 2 days, 7:37:58 time: 0.9107 data_time: 0.0232 memory: 11089 grad_norm: 3.8461 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7439 loss: 1.7439 2022/08/02 05:46:16 - mmengine - INFO - Epoch(train) [34][1220/1879] lr: 2.0000e-02 eta: 2 days, 7:37:39 time: 0.9092 data_time: 0.0285 memory: 11089 grad_norm: 3.9204 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9648 loss: 1.9648 2022/08/02 05:46:35 - mmengine - INFO - Epoch(train) [34][1240/1879] lr: 2.0000e-02 eta: 2 days, 7:37:22 time: 0.9268 data_time: 0.0231 memory: 11089 grad_norm: 3.8637 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1290 loss: 2.1290 2022/08/02 05:46:53 - mmengine - INFO - Epoch(train) [34][1260/1879] lr: 2.0000e-02 eta: 2 days, 7:37:03 time: 0.9080 data_time: 0.0272 memory: 11089 grad_norm: 3.9135 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1072 loss: 2.1072 2022/08/02 05:47:11 - mmengine - INFO - Epoch(train) [34][1280/1879] lr: 2.0000e-02 eta: 2 days, 7:36:45 time: 0.9257 data_time: 0.0282 memory: 11089 grad_norm: 3.8478 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0294 loss: 2.0294 2022/08/02 05:47:30 - mmengine - INFO - Epoch(train) [34][1300/1879] lr: 2.0000e-02 eta: 2 days, 7:36:27 time: 0.9149 data_time: 0.0285 memory: 11089 grad_norm: 3.8748 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0311 loss: 2.0311 2022/08/02 05:47:48 - mmengine - INFO - Epoch(train) [34][1320/1879] lr: 2.0000e-02 eta: 2 days, 7:36:08 time: 0.9064 data_time: 0.0241 memory: 11089 grad_norm: 3.7883 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9974 loss: 1.9974 2022/08/02 05:48:06 - mmengine - INFO - Epoch(train) [34][1340/1879] lr: 2.0000e-02 eta: 2 days, 7:35:49 time: 0.9130 data_time: 0.0250 memory: 11089 grad_norm: 3.8163 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9694 loss: 1.9694 2022/08/02 05:48:24 - mmengine - INFO - Epoch(train) [34][1360/1879] lr: 2.0000e-02 eta: 2 days, 7:35:31 time: 0.9130 data_time: 0.0246 memory: 11089 grad_norm: 3.9721 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0036 loss: 2.0036 2022/08/02 05:48:43 - mmengine - INFO - Epoch(train) [34][1380/1879] lr: 2.0000e-02 eta: 2 days, 7:35:15 time: 0.9600 data_time: 0.0379 memory: 11089 grad_norm: 3.8425 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1551 loss: 2.1551 2022/08/02 05:49:02 - mmengine - INFO - Epoch(train) [34][1400/1879] lr: 2.0000e-02 eta: 2 days, 7:34:57 time: 0.9180 data_time: 0.0255 memory: 11089 grad_norm: 3.8385 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9503 loss: 1.9503 2022/08/02 05:49:20 - mmengine - INFO - Epoch(train) [34][1420/1879] lr: 2.0000e-02 eta: 2 days, 7:34:40 time: 0.9331 data_time: 0.0280 memory: 11089 grad_norm: 3.7929 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0501 loss: 2.0501 2022/08/02 05:49:39 - mmengine - INFO - Epoch(train) [34][1440/1879] lr: 2.0000e-02 eta: 2 days, 7:34:22 time: 0.9192 data_time: 0.0282 memory: 11089 grad_norm: 3.8111 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9646 loss: 1.9646 2022/08/02 05:49:57 - mmengine - INFO - Epoch(train) [34][1460/1879] lr: 2.0000e-02 eta: 2 days, 7:34:03 time: 0.9033 data_time: 0.0275 memory: 11089 grad_norm: 3.8238 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1174 loss: 2.1174 2022/08/02 05:50:16 - mmengine - INFO - Epoch(train) [34][1480/1879] lr: 2.0000e-02 eta: 2 days, 7:33:45 time: 0.9268 data_time: 0.0267 memory: 11089 grad_norm: 3.9130 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0303 loss: 2.0303 2022/08/02 05:50:34 - mmengine - INFO - Epoch(train) [34][1500/1879] lr: 2.0000e-02 eta: 2 days, 7:33:28 time: 0.9260 data_time: 0.0313 memory: 11089 grad_norm: 3.8476 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9440 loss: 1.9440 2022/08/02 05:50:52 - mmengine - INFO - Epoch(train) [34][1520/1879] lr: 2.0000e-02 eta: 2 days, 7:33:09 time: 0.9155 data_time: 0.0323 memory: 11089 grad_norm: 3.8896 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0013 loss: 2.0013 2022/08/02 05:51:11 - mmengine - INFO - Epoch(train) [34][1540/1879] lr: 2.0000e-02 eta: 2 days, 7:32:52 time: 0.9332 data_time: 0.0308 memory: 11089 grad_norm: 3.8029 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8480 loss: 1.8480 2022/08/02 05:51:29 - mmengine - INFO - Epoch(train) [34][1560/1879] lr: 2.0000e-02 eta: 2 days, 7:32:32 time: 0.8890 data_time: 0.0290 memory: 11089 grad_norm: 3.9047 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9115 loss: 1.9115 2022/08/02 05:51:47 - mmengine - INFO - Epoch(train) [34][1580/1879] lr: 2.0000e-02 eta: 2 days, 7:32:13 time: 0.9133 data_time: 0.0277 memory: 11089 grad_norm: 3.8981 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.0590 loss: 2.0590 2022/08/02 05:52:05 - mmengine - INFO - Epoch(train) [34][1600/1879] lr: 2.0000e-02 eta: 2 days, 7:31:55 time: 0.9182 data_time: 0.0310 memory: 11089 grad_norm: 3.8269 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0133 loss: 2.0133 2022/08/02 05:52:25 - mmengine - INFO - Epoch(train) [34][1620/1879] lr: 2.0000e-02 eta: 2 days, 7:31:40 time: 0.9598 data_time: 0.0373 memory: 11089 grad_norm: 3.8778 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2198 loss: 2.2198 2022/08/02 05:52:43 - mmengine - INFO - Epoch(train) [34][1640/1879] lr: 2.0000e-02 eta: 2 days, 7:31:22 time: 0.9161 data_time: 0.0252 memory: 11089 grad_norm: 3.8026 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8766 loss: 1.8766 2022/08/02 05:53:02 - mmengine - INFO - Epoch(train) [34][1660/1879] lr: 2.0000e-02 eta: 2 days, 7:31:06 time: 0.9528 data_time: 0.0381 memory: 11089 grad_norm: 3.8435 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9876 loss: 1.9876 2022/08/02 05:53:20 - mmengine - INFO - Epoch(train) [34][1680/1879] lr: 2.0000e-02 eta: 2 days, 7:30:47 time: 0.9100 data_time: 0.0267 memory: 11089 grad_norm: 3.8168 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1579 loss: 2.1579 2022/08/02 05:53:38 - mmengine - INFO - Epoch(train) [34][1700/1879] lr: 2.0000e-02 eta: 2 days, 7:30:28 time: 0.9035 data_time: 0.0265 memory: 11089 grad_norm: 3.8729 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8722 loss: 1.8722 2022/08/02 05:53:56 - mmengine - INFO - Epoch(train) [34][1720/1879] lr: 2.0000e-02 eta: 2 days, 7:30:09 time: 0.9078 data_time: 0.0279 memory: 11089 grad_norm: 3.9350 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7785 loss: 1.7785 2022/08/02 05:54:15 - mmengine - INFO - Epoch(train) [34][1740/1879] lr: 2.0000e-02 eta: 2 days, 7:29:51 time: 0.9227 data_time: 0.0287 memory: 11089 grad_norm: 3.8830 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1724 loss: 2.1724 2022/08/02 05:54:34 - mmengine - INFO - Epoch(train) [34][1760/1879] lr: 2.0000e-02 eta: 2 days, 7:29:35 time: 0.9508 data_time: 0.0273 memory: 11089 grad_norm: 3.9069 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.1059 loss: 2.1059 2022/08/02 05:54:52 - mmengine - INFO - Epoch(train) [34][1780/1879] lr: 2.0000e-02 eta: 2 days, 7:29:16 time: 0.9092 data_time: 0.0282 memory: 11089 grad_norm: 3.8577 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9301 loss: 1.9301 2022/08/02 05:55:10 - mmengine - INFO - Epoch(train) [34][1800/1879] lr: 2.0000e-02 eta: 2 days, 7:28:58 time: 0.9145 data_time: 0.0318 memory: 11089 grad_norm: 3.7549 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.9384 loss: 1.9384 2022/08/02 05:55:28 - mmengine - INFO - Epoch(train) [34][1820/1879] lr: 2.0000e-02 eta: 2 days, 7:28:39 time: 0.9043 data_time: 0.0281 memory: 11089 grad_norm: 3.7542 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8067 loss: 1.8067 2022/08/02 05:55:47 - mmengine - INFO - Epoch(train) [34][1840/1879] lr: 2.0000e-02 eta: 2 days, 7:28:22 time: 0.9426 data_time: 0.0352 memory: 11089 grad_norm: 3.8459 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0963 loss: 2.0963 2022/08/02 05:56:06 - mmengine - INFO - Epoch(train) [34][1860/1879] lr: 2.0000e-02 eta: 2 days, 7:28:05 time: 0.9327 data_time: 0.0336 memory: 11089 grad_norm: 3.8666 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9169 loss: 1.9169 2022/08/02 05:56:23 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 05:56:23 - mmengine - INFO - Epoch(train) [34][1879/1879] lr: 2.0000e-02 eta: 2 days, 7:28:05 time: 0.9117 data_time: 0.0243 memory: 11089 grad_norm: 4.0031 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7750 loss: 1.7750 2022/08/02 05:56:43 - mmengine - INFO - Epoch(train) [35][20/1879] lr: 2.0000e-02 eta: 2 days, 7:26:36 time: 0.9980 data_time: 0.1350 memory: 11089 grad_norm: 3.8090 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1320 loss: 2.1320 2022/08/02 05:57:02 - mmengine - INFO - Epoch(train) [35][40/1879] lr: 2.0000e-02 eta: 2 days, 7:26:17 time: 0.9094 data_time: 0.0326 memory: 11089 grad_norm: 3.9317 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8271 loss: 1.8271 2022/08/02 05:57:20 - mmengine - INFO - Epoch(train) [35][60/1879] lr: 2.0000e-02 eta: 2 days, 7:26:00 time: 0.9358 data_time: 0.0306 memory: 11089 grad_norm: 3.8320 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7889 loss: 1.7889 2022/08/02 05:57:39 - mmengine - INFO - Epoch(train) [35][80/1879] lr: 2.0000e-02 eta: 2 days, 7:25:43 time: 0.9318 data_time: 0.0329 memory: 11089 grad_norm: 3.9917 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8994 loss: 1.8994 2022/08/02 05:57:57 - mmengine - INFO - Epoch(train) [35][100/1879] lr: 2.0000e-02 eta: 2 days, 7:25:24 time: 0.9038 data_time: 0.0321 memory: 11089 grad_norm: 3.8441 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8158 loss: 1.8158 2022/08/02 05:58:10 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 05:58:16 - mmengine - INFO - Epoch(train) [35][120/1879] lr: 2.0000e-02 eta: 2 days, 7:25:06 time: 0.9319 data_time: 0.0292 memory: 11089 grad_norm: 3.8914 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9827 loss: 1.9827 2022/08/02 05:58:34 - mmengine - INFO - Epoch(train) [35][140/1879] lr: 2.0000e-02 eta: 2 days, 7:24:48 time: 0.9205 data_time: 0.0245 memory: 11089 grad_norm: 3.8237 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8664 loss: 1.8664 2022/08/02 05:58:52 - mmengine - INFO - Epoch(train) [35][160/1879] lr: 2.0000e-02 eta: 2 days, 7:24:31 time: 0.9224 data_time: 0.0367 memory: 11089 grad_norm: 3.8655 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0363 loss: 2.0363 2022/08/02 05:59:11 - mmengine - INFO - Epoch(train) [35][180/1879] lr: 2.0000e-02 eta: 2 days, 7:24:13 time: 0.9338 data_time: 0.0288 memory: 11089 grad_norm: 3.8760 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9147 loss: 1.9147 2022/08/02 05:59:30 - mmengine - INFO - Epoch(train) [35][200/1879] lr: 2.0000e-02 eta: 2 days, 7:23:55 time: 0.9192 data_time: 0.0233 memory: 11089 grad_norm: 3.9107 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7782 loss: 1.7782 2022/08/02 05:59:48 - mmengine - INFO - Epoch(train) [35][220/1879] lr: 2.0000e-02 eta: 2 days, 7:23:37 time: 0.9200 data_time: 0.0318 memory: 11089 grad_norm: 3.8722 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9642 loss: 1.9642 2022/08/02 06:00:09 - mmengine - INFO - Epoch(train) [35][240/1879] lr: 2.0000e-02 eta: 2 days, 7:23:29 time: 1.0638 data_time: 0.0418 memory: 11089 grad_norm: 3.8339 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7482 loss: 1.7482 2022/08/02 06:00:28 - mmengine - INFO - Epoch(train) [35][260/1879] lr: 2.0000e-02 eta: 2 days, 7:23:11 time: 0.9197 data_time: 0.0280 memory: 11089 grad_norm: 3.9455 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0581 loss: 2.0581 2022/08/02 06:00:46 - mmengine - INFO - Epoch(train) [35][280/1879] lr: 2.0000e-02 eta: 2 days, 7:22:52 time: 0.9087 data_time: 0.0257 memory: 11089 grad_norm: 3.7985 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0346 loss: 2.0346 2022/08/02 06:01:04 - mmengine - INFO - Epoch(train) [35][300/1879] lr: 2.0000e-02 eta: 2 days, 7:22:34 time: 0.9180 data_time: 0.0330 memory: 11089 grad_norm: 3.9422 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9503 loss: 1.9503 2022/08/02 06:01:23 - mmengine - INFO - Epoch(train) [35][320/1879] lr: 2.0000e-02 eta: 2 days, 7:22:17 time: 0.9306 data_time: 0.0303 memory: 11089 grad_norm: 3.8866 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8903 loss: 1.8903 2022/08/02 06:01:41 - mmengine - INFO - Epoch(train) [35][340/1879] lr: 2.0000e-02 eta: 2 days, 7:21:59 time: 0.9266 data_time: 0.0219 memory: 11089 grad_norm: 3.9188 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9148 loss: 1.9148 2022/08/02 06:01:59 - mmengine - INFO - Epoch(train) [35][360/1879] lr: 2.0000e-02 eta: 2 days, 7:21:40 time: 0.9030 data_time: 0.0240 memory: 11089 grad_norm: 3.8695 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9530 loss: 1.9530 2022/08/02 06:02:17 - mmengine - INFO - Epoch(train) [35][380/1879] lr: 2.0000e-02 eta: 2 days, 7:21:21 time: 0.9067 data_time: 0.0277 memory: 11089 grad_norm: 3.9000 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8149 loss: 1.8149 2022/08/02 06:02:36 - mmengine - INFO - Epoch(train) [35][400/1879] lr: 2.0000e-02 eta: 2 days, 7:21:04 time: 0.9355 data_time: 0.0244 memory: 11089 grad_norm: 3.8612 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8817 loss: 1.8817 2022/08/02 06:02:55 - mmengine - INFO - Epoch(train) [35][420/1879] lr: 2.0000e-02 eta: 2 days, 7:20:46 time: 0.9249 data_time: 0.0330 memory: 11089 grad_norm: 3.7574 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1578 loss: 2.1578 2022/08/02 06:03:13 - mmengine - INFO - Epoch(train) [35][440/1879] lr: 2.0000e-02 eta: 2 days, 7:20:27 time: 0.9083 data_time: 0.0259 memory: 11089 grad_norm: 3.8608 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9892 loss: 1.9892 2022/08/02 06:03:31 - mmengine - INFO - Epoch(train) [35][460/1879] lr: 2.0000e-02 eta: 2 days, 7:20:09 time: 0.9205 data_time: 0.0276 memory: 11089 grad_norm: 3.8199 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9000 loss: 1.9000 2022/08/02 06:03:50 - mmengine - INFO - Epoch(train) [35][480/1879] lr: 2.0000e-02 eta: 2 days, 7:19:51 time: 0.9128 data_time: 0.0232 memory: 11089 grad_norm: 3.8915 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8288 loss: 1.8288 2022/08/02 06:04:08 - mmengine - INFO - Epoch(train) [35][500/1879] lr: 2.0000e-02 eta: 2 days, 7:19:32 time: 0.9009 data_time: 0.0249 memory: 11089 grad_norm: 3.9280 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.0922 loss: 2.0922 2022/08/02 06:04:26 - mmengine - INFO - Epoch(train) [35][520/1879] lr: 2.0000e-02 eta: 2 days, 7:19:15 time: 0.9357 data_time: 0.0311 memory: 11089 grad_norm: 3.9991 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0604 loss: 2.0604 2022/08/02 06:04:45 - mmengine - INFO - Epoch(train) [35][540/1879] lr: 2.0000e-02 eta: 2 days, 7:18:57 time: 0.9210 data_time: 0.0238 memory: 11089 grad_norm: 3.9400 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9954 loss: 1.9954 2022/08/02 06:05:03 - mmengine - INFO - Epoch(train) [35][560/1879] lr: 2.0000e-02 eta: 2 days, 7:18:38 time: 0.9114 data_time: 0.0328 memory: 11089 grad_norm: 3.9209 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9524 loss: 1.9524 2022/08/02 06:05:22 - mmengine - INFO - Epoch(train) [35][580/1879] lr: 2.0000e-02 eta: 2 days, 7:18:21 time: 0.9329 data_time: 0.0330 memory: 11089 grad_norm: 3.9096 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8146 loss: 1.8146 2022/08/02 06:05:40 - mmengine - INFO - Epoch(train) [35][600/1879] lr: 2.0000e-02 eta: 2 days, 7:18:02 time: 0.9041 data_time: 0.0220 memory: 11089 grad_norm: 3.8848 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0125 loss: 2.0125 2022/08/02 06:05:58 - mmengine - INFO - Epoch(train) [35][620/1879] lr: 2.0000e-02 eta: 2 days, 7:17:44 time: 0.9303 data_time: 0.0338 memory: 11089 grad_norm: 3.9074 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0036 loss: 2.0036 2022/08/02 06:06:17 - mmengine - INFO - Epoch(train) [35][640/1879] lr: 2.0000e-02 eta: 2 days, 7:17:28 time: 0.9432 data_time: 0.0269 memory: 11089 grad_norm: 3.9364 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1561 loss: 2.1561 2022/08/02 06:06:36 - mmengine - INFO - Epoch(train) [35][660/1879] lr: 2.0000e-02 eta: 2 days, 7:17:10 time: 0.9248 data_time: 0.0268 memory: 11089 grad_norm: 3.8965 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9986 loss: 1.9986 2022/08/02 06:06:54 - mmengine - INFO - Epoch(train) [35][680/1879] lr: 2.0000e-02 eta: 2 days, 7:16:52 time: 0.9142 data_time: 0.0270 memory: 11089 grad_norm: 3.8699 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9903 loss: 1.9903 2022/08/02 06:07:13 - mmengine - INFO - Epoch(train) [35][700/1879] lr: 2.0000e-02 eta: 2 days, 7:16:35 time: 0.9369 data_time: 0.0315 memory: 11089 grad_norm: 3.8739 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0004 loss: 2.0004 2022/08/02 06:07:31 - mmengine - INFO - Epoch(train) [35][720/1879] lr: 2.0000e-02 eta: 2 days, 7:16:17 time: 0.9215 data_time: 0.0281 memory: 11089 grad_norm: 3.8426 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9946 loss: 1.9946 2022/08/02 06:07:50 - mmengine - INFO - Epoch(train) [35][740/1879] lr: 2.0000e-02 eta: 2 days, 7:16:00 time: 0.9299 data_time: 0.0269 memory: 11089 grad_norm: 3.8448 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.0081 loss: 2.0081 2022/08/02 06:08:07 - mmengine - INFO - Epoch(train) [35][760/1879] lr: 2.0000e-02 eta: 2 days, 7:15:40 time: 0.8911 data_time: 0.0317 memory: 11089 grad_norm: 3.8453 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9168 loss: 1.9168 2022/08/02 06:08:26 - mmengine - INFO - Epoch(train) [35][780/1879] lr: 2.0000e-02 eta: 2 days, 7:15:21 time: 0.9154 data_time: 0.0240 memory: 11089 grad_norm: 3.9190 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0927 loss: 2.0927 2022/08/02 06:08:44 - mmengine - INFO - Epoch(train) [35][800/1879] lr: 2.0000e-02 eta: 2 days, 7:15:03 time: 0.9130 data_time: 0.0221 memory: 11089 grad_norm: 3.9242 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0541 loss: 2.0541 2022/08/02 06:09:03 - mmengine - INFO - Epoch(train) [35][820/1879] lr: 2.0000e-02 eta: 2 days, 7:14:45 time: 0.9240 data_time: 0.0235 memory: 11089 grad_norm: 3.9670 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9865 loss: 1.9865 2022/08/02 06:09:21 - mmengine - INFO - Epoch(train) [35][840/1879] lr: 2.0000e-02 eta: 2 days, 7:14:27 time: 0.9225 data_time: 0.0316 memory: 11089 grad_norm: 3.9687 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1074 loss: 2.1074 2022/08/02 06:09:39 - mmengine - INFO - Epoch(train) [35][860/1879] lr: 2.0000e-02 eta: 2 days, 7:14:08 time: 0.9114 data_time: 0.0254 memory: 11089 grad_norm: 3.8527 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9240 loss: 1.9240 2022/08/02 06:09:58 - mmengine - INFO - Epoch(train) [35][880/1879] lr: 2.0000e-02 eta: 2 days, 7:13:51 time: 0.9304 data_time: 0.0332 memory: 11089 grad_norm: 3.7741 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0315 loss: 2.0315 2022/08/02 06:10:16 - mmengine - INFO - Epoch(train) [35][900/1879] lr: 2.0000e-02 eta: 2 days, 7:13:33 time: 0.9169 data_time: 0.0320 memory: 11089 grad_norm: 3.9606 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1423 loss: 2.1423 2022/08/02 06:10:34 - mmengine - INFO - Epoch(train) [35][920/1879] lr: 2.0000e-02 eta: 2 days, 7:13:14 time: 0.9062 data_time: 0.0228 memory: 11089 grad_norm: 3.8698 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0573 loss: 2.0573 2022/08/02 06:10:53 - mmengine - INFO - Epoch(train) [35][940/1879] lr: 2.0000e-02 eta: 2 days, 7:12:55 time: 0.9129 data_time: 0.0324 memory: 11089 grad_norm: 3.9122 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8791 loss: 1.8791 2022/08/02 06:11:11 - mmengine - INFO - Epoch(train) [35][960/1879] lr: 2.0000e-02 eta: 2 days, 7:12:38 time: 0.9292 data_time: 0.0294 memory: 11089 grad_norm: 3.9084 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8802 loss: 1.8802 2022/08/02 06:11:30 - mmengine - INFO - Epoch(train) [35][980/1879] lr: 2.0000e-02 eta: 2 days, 7:12:20 time: 0.9262 data_time: 0.0298 memory: 11089 grad_norm: 3.8808 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8399 loss: 1.8399 2022/08/02 06:11:48 - mmengine - INFO - Epoch(train) [35][1000/1879] lr: 2.0000e-02 eta: 2 days, 7:12:03 time: 0.9261 data_time: 0.0397 memory: 11089 grad_norm: 3.8504 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8621 loss: 1.8621 2022/08/02 06:12:06 - mmengine - INFO - Epoch(train) [35][1020/1879] lr: 2.0000e-02 eta: 2 days, 7:11:44 time: 0.9135 data_time: 0.0229 memory: 11089 grad_norm: 4.0686 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.1692 loss: 2.1692 2022/08/02 06:12:25 - mmengine - INFO - Epoch(train) [35][1040/1879] lr: 2.0000e-02 eta: 2 days, 7:11:25 time: 0.9029 data_time: 0.0291 memory: 11089 grad_norm: 3.9104 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9396 loss: 1.9396 2022/08/02 06:12:43 - mmengine - INFO - Epoch(train) [35][1060/1879] lr: 2.0000e-02 eta: 2 days, 7:11:07 time: 0.9185 data_time: 0.0306 memory: 11089 grad_norm: 3.8563 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9137 loss: 1.9137 2022/08/02 06:13:01 - mmengine - INFO - Epoch(train) [35][1080/1879] lr: 2.0000e-02 eta: 2 days, 7:10:49 time: 0.9204 data_time: 0.0325 memory: 11089 grad_norm: 3.9010 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9788 loss: 1.9788 2022/08/02 06:13:20 - mmengine - INFO - Epoch(train) [35][1100/1879] lr: 2.0000e-02 eta: 2 days, 7:10:30 time: 0.9096 data_time: 0.0254 memory: 11089 grad_norm: 3.9176 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0241 loss: 2.0241 2022/08/02 06:13:32 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 06:13:38 - mmengine - INFO - Epoch(train) [35][1120/1879] lr: 2.0000e-02 eta: 2 days, 7:10:11 time: 0.9073 data_time: 0.0287 memory: 11089 grad_norm: 3.8733 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0556 loss: 2.0556 2022/08/02 06:13:56 - mmengine - INFO - Epoch(train) [35][1140/1879] lr: 2.0000e-02 eta: 2 days, 7:09:52 time: 0.9076 data_time: 0.0295 memory: 11089 grad_norm: 3.8981 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9987 loss: 1.9987 2022/08/02 06:14:14 - mmengine - INFO - Epoch(train) [35][1160/1879] lr: 2.0000e-02 eta: 2 days, 7:09:33 time: 0.9072 data_time: 0.0203 memory: 11089 grad_norm: 3.9567 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1216 loss: 2.1216 2022/08/02 06:14:32 - mmengine - INFO - Epoch(train) [35][1180/1879] lr: 2.0000e-02 eta: 2 days, 7:09:15 time: 0.9218 data_time: 0.0389 memory: 11089 grad_norm: 3.7460 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9907 loss: 1.9907 2022/08/02 06:14:51 - mmengine - INFO - Epoch(train) [35][1200/1879] lr: 2.0000e-02 eta: 2 days, 7:08:58 time: 0.9228 data_time: 0.0332 memory: 11089 grad_norm: 3.8256 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9107 loss: 1.9107 2022/08/02 06:15:10 - mmengine - INFO - Epoch(train) [35][1220/1879] lr: 2.0000e-02 eta: 2 days, 7:08:41 time: 0.9367 data_time: 0.0327 memory: 11089 grad_norm: 3.9419 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8621 loss: 1.8621 2022/08/02 06:15:28 - mmengine - INFO - Epoch(train) [35][1240/1879] lr: 2.0000e-02 eta: 2 days, 7:08:22 time: 0.9146 data_time: 0.0338 memory: 11089 grad_norm: 3.8329 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9430 loss: 1.9430 2022/08/02 06:15:46 - mmengine - INFO - Epoch(train) [35][1260/1879] lr: 2.0000e-02 eta: 2 days, 7:08:04 time: 0.9196 data_time: 0.0251 memory: 11089 grad_norm: 3.9292 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7331 loss: 1.7331 2022/08/02 06:16:04 - mmengine - INFO - Epoch(train) [35][1280/1879] lr: 2.0000e-02 eta: 2 days, 7:07:45 time: 0.9059 data_time: 0.0310 memory: 11089 grad_norm: 3.9335 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8484 loss: 1.8484 2022/08/02 06:16:22 - mmengine - INFO - Epoch(train) [35][1300/1879] lr: 2.0000e-02 eta: 2 days, 7:07:25 time: 0.8946 data_time: 0.0246 memory: 11089 grad_norm: 3.9820 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0791 loss: 2.0791 2022/08/02 06:16:40 - mmengine - INFO - Epoch(train) [35][1320/1879] lr: 2.0000e-02 eta: 2 days, 7:07:07 time: 0.9088 data_time: 0.0270 memory: 11089 grad_norm: 3.9746 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8867 loss: 1.8867 2022/08/02 06:16:59 - mmengine - INFO - Epoch(train) [35][1340/1879] lr: 2.0000e-02 eta: 2 days, 7:06:48 time: 0.9084 data_time: 0.0334 memory: 11089 grad_norm: 3.8763 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8942 loss: 1.8942 2022/08/02 06:17:17 - mmengine - INFO - Epoch(train) [35][1360/1879] lr: 2.0000e-02 eta: 2 days, 7:06:30 time: 0.9188 data_time: 0.0254 memory: 11089 grad_norm: 3.8240 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9770 loss: 1.9770 2022/08/02 06:17:36 - mmengine - INFO - Epoch(train) [35][1380/1879] lr: 2.0000e-02 eta: 2 days, 7:06:13 time: 0.9411 data_time: 0.0240 memory: 11089 grad_norm: 3.8222 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9074 loss: 1.9074 2022/08/02 06:17:54 - mmengine - INFO - Epoch(train) [35][1400/1879] lr: 2.0000e-02 eta: 2 days, 7:05:54 time: 0.9092 data_time: 0.0315 memory: 11089 grad_norm: 3.8075 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9143 loss: 1.9143 2022/08/02 06:18:12 - mmengine - INFO - Epoch(train) [35][1420/1879] lr: 2.0000e-02 eta: 2 days, 7:05:35 time: 0.9074 data_time: 0.0234 memory: 11089 grad_norm: 3.8855 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0335 loss: 2.0335 2022/08/02 06:18:31 - mmengine - INFO - Epoch(train) [35][1440/1879] lr: 2.0000e-02 eta: 2 days, 7:05:18 time: 0.9282 data_time: 0.0348 memory: 11089 grad_norm: 3.8898 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6328 loss: 1.6328 2022/08/02 06:18:49 - mmengine - INFO - Epoch(train) [35][1460/1879] lr: 2.0000e-02 eta: 2 days, 7:05:00 time: 0.9285 data_time: 0.0319 memory: 11089 grad_norm: 3.8833 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8170 loss: 1.8170 2022/08/02 06:19:08 - mmengine - INFO - Epoch(train) [35][1480/1879] lr: 2.0000e-02 eta: 2 days, 7:04:44 time: 0.9443 data_time: 0.0314 memory: 11089 grad_norm: 3.9036 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0435 loss: 2.0435 2022/08/02 06:19:27 - mmengine - INFO - Epoch(train) [35][1500/1879] lr: 2.0000e-02 eta: 2 days, 7:04:26 time: 0.9155 data_time: 0.0296 memory: 11089 grad_norm: 3.8204 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7396 loss: 1.7396 2022/08/02 06:19:44 - mmengine - INFO - Epoch(train) [35][1520/1879] lr: 2.0000e-02 eta: 2 days, 7:04:06 time: 0.8939 data_time: 0.0263 memory: 11089 grad_norm: 3.8821 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8270 loss: 1.8270 2022/08/02 06:20:03 - mmengine - INFO - Epoch(train) [35][1540/1879] lr: 2.0000e-02 eta: 2 days, 7:03:47 time: 0.9136 data_time: 0.0256 memory: 11089 grad_norm: 3.9256 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9864 loss: 1.9864 2022/08/02 06:20:21 - mmengine - INFO - Epoch(train) [35][1560/1879] lr: 2.0000e-02 eta: 2 days, 7:03:30 time: 0.9227 data_time: 0.0288 memory: 11089 grad_norm: 3.8724 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0333 loss: 2.0333 2022/08/02 06:20:39 - mmengine - INFO - Epoch(train) [35][1580/1879] lr: 2.0000e-02 eta: 2 days, 7:03:10 time: 0.8978 data_time: 0.0349 memory: 11089 grad_norm: 3.8756 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0242 loss: 2.0242 2022/08/02 06:20:58 - mmengine - INFO - Epoch(train) [35][1600/1879] lr: 2.0000e-02 eta: 2 days, 7:02:53 time: 0.9316 data_time: 0.0330 memory: 11089 grad_norm: 3.8610 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8387 loss: 1.8387 2022/08/02 06:21:16 - mmengine - INFO - Epoch(train) [35][1620/1879] lr: 2.0000e-02 eta: 2 days, 7:02:35 time: 0.9198 data_time: 0.0275 memory: 11089 grad_norm: 3.9123 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9320 loss: 1.9320 2022/08/02 06:21:35 - mmengine - INFO - Epoch(train) [35][1640/1879] lr: 2.0000e-02 eta: 2 days, 7:02:17 time: 0.9313 data_time: 0.0236 memory: 11089 grad_norm: 3.9049 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1242 loss: 2.1242 2022/08/02 06:21:53 - mmengine - INFO - Epoch(train) [35][1660/1879] lr: 2.0000e-02 eta: 2 days, 7:01:59 time: 0.9170 data_time: 0.0246 memory: 11089 grad_norm: 3.8793 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9098 loss: 1.9098 2022/08/02 06:22:11 - mmengine - INFO - Epoch(train) [35][1680/1879] lr: 2.0000e-02 eta: 2 days, 7:01:40 time: 0.9056 data_time: 0.0264 memory: 11089 grad_norm: 3.9392 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9168 loss: 1.9168 2022/08/02 06:22:30 - mmengine - INFO - Epoch(train) [35][1700/1879] lr: 2.0000e-02 eta: 2 days, 7:01:22 time: 0.9212 data_time: 0.0272 memory: 11089 grad_norm: 3.8444 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0828 loss: 2.0828 2022/08/02 06:22:48 - mmengine - INFO - Epoch(train) [35][1720/1879] lr: 2.0000e-02 eta: 2 days, 7:01:04 time: 0.9114 data_time: 0.0263 memory: 11089 grad_norm: 3.9624 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1619 loss: 2.1619 2022/08/02 06:23:06 - mmengine - INFO - Epoch(train) [35][1740/1879] lr: 2.0000e-02 eta: 2 days, 7:00:46 time: 0.9315 data_time: 0.0274 memory: 11089 grad_norm: 3.9839 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7858 loss: 1.7858 2022/08/02 06:23:25 - mmengine - INFO - Epoch(train) [35][1760/1879] lr: 2.0000e-02 eta: 2 days, 7:00:28 time: 0.9218 data_time: 0.0299 memory: 11089 grad_norm: 4.0176 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2974 loss: 2.2974 2022/08/02 06:23:44 - mmengine - INFO - Epoch(train) [35][1780/1879] lr: 2.0000e-02 eta: 2 days, 7:00:11 time: 0.9343 data_time: 0.0254 memory: 11089 grad_norm: 3.9449 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2986 loss: 2.2986 2022/08/02 06:24:02 - mmengine - INFO - Epoch(train) [35][1800/1879] lr: 2.0000e-02 eta: 2 days, 6:59:52 time: 0.8962 data_time: 0.0220 memory: 11089 grad_norm: 3.8962 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.2205 loss: 2.2205 2022/08/02 06:24:20 - mmengine - INFO - Epoch(train) [35][1820/1879] lr: 2.0000e-02 eta: 2 days, 6:59:33 time: 0.9121 data_time: 0.0312 memory: 11089 grad_norm: 3.9486 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0554 loss: 2.0554 2022/08/02 06:24:38 - mmengine - INFO - Epoch(train) [35][1840/1879] lr: 2.0000e-02 eta: 2 days, 6:59:14 time: 0.9072 data_time: 0.0259 memory: 11089 grad_norm: 3.8058 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0257 loss: 2.0257 2022/08/02 06:24:56 - mmengine - INFO - Epoch(train) [35][1860/1879] lr: 2.0000e-02 eta: 2 days, 6:58:57 time: 0.9267 data_time: 0.0309 memory: 11089 grad_norm: 3.7933 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8438 loss: 1.8438 2022/08/02 06:25:14 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 06:25:14 - mmengine - INFO - Epoch(train) [35][1879/1879] lr: 2.0000e-02 eta: 2 days, 6:58:57 time: 0.9241 data_time: 0.0267 memory: 11089 grad_norm: 4.0373 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.8985 loss: 1.8985 2022/08/02 06:25:23 - mmengine - INFO - Epoch(val) [35][20/155] eta: 0:00:59 time: 0.4372 data_time: 0.1320 memory: 1950 2022/08/02 06:25:29 - mmengine - INFO - Epoch(val) [35][40/155] eta: 0:00:37 time: 0.3251 data_time: 0.0111 memory: 1950 2022/08/02 06:25:37 - mmengine - INFO - Epoch(val) [35][60/155] eta: 0:00:34 time: 0.3674 data_time: 0.0462 memory: 1950 2022/08/02 06:25:43 - mmengine - INFO - Epoch(val) [35][80/155] eta: 0:00:23 time: 0.3187 data_time: 0.0111 memory: 1950 2022/08/02 06:25:50 - mmengine - INFO - Epoch(val) [35][100/155] eta: 0:00:17 time: 0.3221 data_time: 0.0090 memory: 1950 2022/08/02 06:25:57 - mmengine - INFO - Epoch(val) [35][120/155] eta: 0:00:12 time: 0.3521 data_time: 0.0159 memory: 1950 2022/08/02 06:26:04 - mmengine - INFO - Epoch(val) [35][140/155] eta: 0:00:05 time: 0.3927 data_time: 0.0167 memory: 1950 2022/08/02 06:26:12 - mmengine - INFO - Epoch(val) [35][155/155] acc/top1: 0.6116 acc/top5: 0.8310 acc/mean1: 0.6116 2022/08/02 06:26:12 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb/best_acc/top1_epoch_26.pth is removed 2022/08/02 06:26:14 - mmengine - INFO - The best checkpoint with 0.6116 acc/top1 at 36 epoch is saved to best_acc/top1_epoch_36.pth. 2022/08/02 06:26:33 - mmengine - INFO - Epoch(train) [36][20/1879] lr: 2.0000e-02 eta: 2 days, 6:57:26 time: 0.9583 data_time: 0.1117 memory: 11089 grad_norm: 3.9607 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9613 loss: 1.9613 2022/08/02 06:26:50 - mmengine - INFO - Epoch(train) [36][40/1879] lr: 2.0000e-02 eta: 2 days, 6:57:06 time: 0.8838 data_time: 0.0246 memory: 11089 grad_norm: 3.8857 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8918 loss: 1.8918 2022/08/02 06:27:09 - mmengine - INFO - Epoch(train) [36][60/1879] lr: 2.0000e-02 eta: 2 days, 6:56:48 time: 0.9221 data_time: 0.0347 memory: 11089 grad_norm: 3.8354 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8688 loss: 1.8688 2022/08/02 06:27:27 - mmengine - INFO - Epoch(train) [36][80/1879] lr: 2.0000e-02 eta: 2 days, 6:56:29 time: 0.9110 data_time: 0.0285 memory: 11089 grad_norm: 3.8648 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8639 loss: 1.8639 2022/08/02 06:27:46 - mmengine - INFO - Epoch(train) [36][100/1879] lr: 2.0000e-02 eta: 2 days, 6:56:12 time: 0.9293 data_time: 0.0286 memory: 11089 grad_norm: 3.8642 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0252 loss: 2.0252 2022/08/02 06:28:04 - mmengine - INFO - Epoch(train) [36][120/1879] lr: 2.0000e-02 eta: 2 days, 6:55:54 time: 0.9209 data_time: 0.0300 memory: 11089 grad_norm: 3.9273 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7814 loss: 1.7814 2022/08/02 06:28:22 - mmengine - INFO - Epoch(train) [36][140/1879] lr: 2.0000e-02 eta: 2 days, 6:55:36 time: 0.9150 data_time: 0.0237 memory: 11089 grad_norm: 3.8223 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0396 loss: 2.0396 2022/08/02 06:28:41 - mmengine - INFO - Epoch(train) [36][160/1879] lr: 2.0000e-02 eta: 2 days, 6:55:18 time: 0.9215 data_time: 0.0248 memory: 11089 grad_norm: 3.9114 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7818 loss: 1.7818 2022/08/02 06:29:00 - mmengine - INFO - Epoch(train) [36][180/1879] lr: 2.0000e-02 eta: 2 days, 6:55:01 time: 0.9444 data_time: 0.0313 memory: 11089 grad_norm: 3.8538 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7998 loss: 1.7998 2022/08/02 06:29:18 - mmengine - INFO - Epoch(train) [36][200/1879] lr: 2.0000e-02 eta: 2 days, 6:54:43 time: 0.9199 data_time: 0.0264 memory: 11089 grad_norm: 3.9348 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7270 loss: 1.7270 2022/08/02 06:29:37 - mmengine - INFO - Epoch(train) [36][220/1879] lr: 2.0000e-02 eta: 2 days, 6:54:27 time: 0.9404 data_time: 0.0333 memory: 11089 grad_norm: 3.9287 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8466 loss: 1.8466 2022/08/02 06:29:51 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 06:29:55 - mmengine - INFO - Epoch(train) [36][240/1879] lr: 2.0000e-02 eta: 2 days, 6:54:09 time: 0.9201 data_time: 0.0347 memory: 11089 grad_norm: 3.8570 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0786 loss: 2.0786 2022/08/02 06:30:14 - mmengine - INFO - Epoch(train) [36][260/1879] lr: 2.0000e-02 eta: 2 days, 6:53:50 time: 0.9106 data_time: 0.0274 memory: 11089 grad_norm: 3.8890 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0741 loss: 2.0741 2022/08/02 06:30:32 - mmengine - INFO - Epoch(train) [36][280/1879] lr: 2.0000e-02 eta: 2 days, 6:53:33 time: 0.9353 data_time: 0.0273 memory: 11089 grad_norm: 3.8341 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7679 loss: 1.7679 2022/08/02 06:30:50 - mmengine - INFO - Epoch(train) [36][300/1879] lr: 2.0000e-02 eta: 2 days, 6:53:14 time: 0.8999 data_time: 0.0262 memory: 11089 grad_norm: 3.9241 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8648 loss: 1.8648 2022/08/02 06:31:09 - mmengine - INFO - Epoch(train) [36][320/1879] lr: 2.0000e-02 eta: 2 days, 6:52:57 time: 0.9364 data_time: 0.0279 memory: 11089 grad_norm: 3.9537 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9148 loss: 1.9148 2022/08/02 06:31:28 - mmengine - INFO - Epoch(train) [36][340/1879] lr: 2.0000e-02 eta: 2 days, 6:52:39 time: 0.9336 data_time: 0.0317 memory: 11089 grad_norm: 3.9329 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1048 loss: 2.1048 2022/08/02 06:31:46 - mmengine - INFO - Epoch(train) [36][360/1879] lr: 2.0000e-02 eta: 2 days, 6:52:21 time: 0.9127 data_time: 0.0304 memory: 11089 grad_norm: 3.8140 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.0680 loss: 2.0680 2022/08/02 06:32:04 - mmengine - INFO - Epoch(train) [36][380/1879] lr: 2.0000e-02 eta: 2 days, 6:52:03 time: 0.9239 data_time: 0.0308 memory: 11089 grad_norm: 3.8410 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8790 loss: 1.8790 2022/08/02 06:32:23 - mmengine - INFO - Epoch(train) [36][400/1879] lr: 2.0000e-02 eta: 2 days, 6:51:47 time: 0.9428 data_time: 0.0363 memory: 11089 grad_norm: 3.8388 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6813 loss: 1.6813 2022/08/02 06:32:41 - mmengine - INFO - Epoch(train) [36][420/1879] lr: 2.0000e-02 eta: 2 days, 6:51:27 time: 0.8940 data_time: 0.0214 memory: 11089 grad_norm: 3.9732 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0471 loss: 2.0471 2022/08/02 06:33:00 - mmengine - INFO - Epoch(train) [36][440/1879] lr: 2.0000e-02 eta: 2 days, 6:51:11 time: 0.9499 data_time: 0.0277 memory: 11089 grad_norm: 3.9585 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9608 loss: 1.9608 2022/08/02 06:33:19 - mmengine - INFO - Epoch(train) [36][460/1879] lr: 2.0000e-02 eta: 2 days, 6:50:54 time: 0.9459 data_time: 0.0383 memory: 11089 grad_norm: 3.9279 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9487 loss: 1.9487 2022/08/02 06:33:38 - mmengine - INFO - Epoch(train) [36][480/1879] lr: 2.0000e-02 eta: 2 days, 6:50:37 time: 0.9316 data_time: 0.0316 memory: 11089 grad_norm: 3.9015 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7412 loss: 1.7412 2022/08/02 06:33:56 - mmengine - INFO - Epoch(train) [36][500/1879] lr: 2.0000e-02 eta: 2 days, 6:50:18 time: 0.9048 data_time: 0.0257 memory: 11089 grad_norm: 3.8506 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8050 loss: 1.8050 2022/08/02 06:34:15 - mmengine - INFO - Epoch(train) [36][520/1879] lr: 2.0000e-02 eta: 2 days, 6:50:02 time: 0.9419 data_time: 0.0265 memory: 11089 grad_norm: 3.8169 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0056 loss: 2.0056 2022/08/02 06:34:33 - mmengine - INFO - Epoch(train) [36][540/1879] lr: 2.0000e-02 eta: 2 days, 6:49:45 time: 0.9382 data_time: 0.0310 memory: 11089 grad_norm: 3.8416 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9361 loss: 1.9361 2022/08/02 06:34:52 - mmengine - INFO - Epoch(train) [36][560/1879] lr: 2.0000e-02 eta: 2 days, 6:49:26 time: 0.9173 data_time: 0.0264 memory: 11089 grad_norm: 3.9694 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9955 loss: 1.9955 2022/08/02 06:35:11 - mmengine - INFO - Epoch(train) [36][580/1879] lr: 2.0000e-02 eta: 2 days, 6:49:10 time: 0.9492 data_time: 0.0328 memory: 11089 grad_norm: 3.9473 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0389 loss: 2.0389 2022/08/02 06:35:29 - mmengine - INFO - Epoch(train) [36][600/1879] lr: 2.0000e-02 eta: 2 days, 6:48:51 time: 0.9072 data_time: 0.0315 memory: 11089 grad_norm: 3.9861 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9691 loss: 1.9691 2022/08/02 06:35:48 - mmengine - INFO - Epoch(train) [36][620/1879] lr: 2.0000e-02 eta: 2 days, 6:48:34 time: 0.9338 data_time: 0.0268 memory: 11089 grad_norm: 4.0680 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1583 loss: 2.1583 2022/08/02 06:36:06 - mmengine - INFO - Epoch(train) [36][640/1879] lr: 2.0000e-02 eta: 2 days, 6:48:17 time: 0.9285 data_time: 0.0284 memory: 11089 grad_norm: 3.9484 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0419 loss: 2.0419 2022/08/02 06:36:24 - mmengine - INFO - Epoch(train) [36][660/1879] lr: 2.0000e-02 eta: 2 days, 6:47:58 time: 0.9058 data_time: 0.0237 memory: 11089 grad_norm: 3.9105 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8683 loss: 1.8683 2022/08/02 06:36:42 - mmengine - INFO - Epoch(train) [36][680/1879] lr: 2.0000e-02 eta: 2 days, 6:47:39 time: 0.9060 data_time: 0.0202 memory: 11089 grad_norm: 3.8762 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0186 loss: 2.0186 2022/08/02 06:37:01 - mmengine - INFO - Epoch(train) [36][700/1879] lr: 2.0000e-02 eta: 2 days, 6:47:21 time: 0.9169 data_time: 0.0245 memory: 11089 grad_norm: 3.9710 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9538 loss: 1.9538 2022/08/02 06:37:19 - mmengine - INFO - Epoch(train) [36][720/1879] lr: 2.0000e-02 eta: 2 days, 6:47:03 time: 0.9280 data_time: 0.0262 memory: 11089 grad_norm: 3.8480 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0460 loss: 2.0460 2022/08/02 06:37:38 - mmengine - INFO - Epoch(train) [36][740/1879] lr: 2.0000e-02 eta: 2 days, 6:46:45 time: 0.9188 data_time: 0.0297 memory: 11089 grad_norm: 3.9602 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9912 loss: 1.9912 2022/08/02 06:37:56 - mmengine - INFO - Epoch(train) [36][760/1879] lr: 2.0000e-02 eta: 2 days, 6:46:28 time: 0.9365 data_time: 0.0345 memory: 11089 grad_norm: 3.9700 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8880 loss: 1.8880 2022/08/02 06:38:14 - mmengine - INFO - Epoch(train) [36][780/1879] lr: 2.0000e-02 eta: 2 days, 6:46:09 time: 0.9025 data_time: 0.0225 memory: 11089 grad_norm: 3.8353 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.7869 loss: 1.7869 2022/08/02 06:38:33 - mmengine - INFO - Epoch(train) [36][800/1879] lr: 2.0000e-02 eta: 2 days, 6:45:50 time: 0.9039 data_time: 0.0227 memory: 11089 grad_norm: 3.8510 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9690 loss: 1.9690 2022/08/02 06:38:51 - mmengine - INFO - Epoch(train) [36][820/1879] lr: 2.0000e-02 eta: 2 days, 6:45:32 time: 0.9304 data_time: 0.0260 memory: 11089 grad_norm: 3.9026 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9493 loss: 1.9493 2022/08/02 06:39:10 - mmengine - INFO - Epoch(train) [36][840/1879] lr: 2.0000e-02 eta: 2 days, 6:45:14 time: 0.9190 data_time: 0.0293 memory: 11089 grad_norm: 3.7501 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0910 loss: 2.0910 2022/08/02 06:39:28 - mmengine - INFO - Epoch(train) [36][860/1879] lr: 2.0000e-02 eta: 2 days, 6:44:57 time: 0.9297 data_time: 0.0304 memory: 11089 grad_norm: 3.9174 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1330 loss: 2.1330 2022/08/02 06:39:46 - mmengine - INFO - Epoch(train) [36][880/1879] lr: 2.0000e-02 eta: 2 days, 6:44:39 time: 0.9170 data_time: 0.0281 memory: 11089 grad_norm: 3.9983 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0751 loss: 2.0751 2022/08/02 06:40:05 - mmengine - INFO - Epoch(train) [36][900/1879] lr: 2.0000e-02 eta: 2 days, 6:44:20 time: 0.9100 data_time: 0.0239 memory: 11089 grad_norm: 3.9683 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0585 loss: 2.0585 2022/08/02 06:40:23 - mmengine - INFO - Epoch(train) [36][920/1879] lr: 2.0000e-02 eta: 2 days, 6:44:03 time: 0.9337 data_time: 0.0278 memory: 11089 grad_norm: 3.7951 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7837 loss: 1.7837 2022/08/02 06:40:42 - mmengine - INFO - Epoch(train) [36][940/1879] lr: 2.0000e-02 eta: 2 days, 6:43:44 time: 0.9098 data_time: 0.0318 memory: 11089 grad_norm: 3.8416 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0396 loss: 2.0396 2022/08/02 06:41:00 - mmengine - INFO - Epoch(train) [36][960/1879] lr: 2.0000e-02 eta: 2 days, 6:43:26 time: 0.9217 data_time: 0.0328 memory: 11089 grad_norm: 3.9470 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7571 loss: 1.7571 2022/08/02 06:41:18 - mmengine - INFO - Epoch(train) [36][980/1879] lr: 2.0000e-02 eta: 2 days, 6:43:07 time: 0.9026 data_time: 0.0220 memory: 11089 grad_norm: 3.8664 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8748 loss: 1.8748 2022/08/02 06:41:37 - mmengine - INFO - Epoch(train) [36][1000/1879] lr: 2.0000e-02 eta: 2 days, 6:42:50 time: 0.9317 data_time: 0.0362 memory: 11089 grad_norm: 3.9528 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0994 loss: 2.0994 2022/08/02 06:41:56 - mmengine - INFO - Epoch(train) [36][1020/1879] lr: 2.0000e-02 eta: 2 days, 6:42:36 time: 0.9801 data_time: 0.0347 memory: 11089 grad_norm: 3.8788 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9442 loss: 1.9442 2022/08/02 06:42:15 - mmengine - INFO - Epoch(train) [36][1040/1879] lr: 2.0000e-02 eta: 2 days, 6:42:18 time: 0.9291 data_time: 0.0387 memory: 11089 grad_norm: 3.8191 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9126 loss: 1.9126 2022/08/02 06:42:37 - mmengine - INFO - Epoch(train) [36][1060/1879] lr: 2.0000e-02 eta: 2 days, 6:42:11 time: 1.0949 data_time: 0.0404 memory: 11089 grad_norm: 3.8795 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9777 loss: 1.9777 2022/08/02 06:42:54 - mmengine - INFO - Epoch(train) [36][1080/1879] lr: 2.0000e-02 eta: 2 days, 6:41:51 time: 0.8850 data_time: 0.0418 memory: 11089 grad_norm: 3.9039 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6681 loss: 1.6681 2022/08/02 06:43:13 - mmengine - INFO - Epoch(train) [36][1100/1879] lr: 2.0000e-02 eta: 2 days, 6:41:32 time: 0.9121 data_time: 0.0308 memory: 11089 grad_norm: 4.0720 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0676 loss: 2.0676 2022/08/02 06:43:31 - mmengine - INFO - Epoch(train) [36][1120/1879] lr: 2.0000e-02 eta: 2 days, 6:41:14 time: 0.9196 data_time: 0.0266 memory: 11089 grad_norm: 3.9953 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9266 loss: 1.9266 2022/08/02 06:43:50 - mmengine - INFO - Epoch(train) [36][1140/1879] lr: 2.0000e-02 eta: 2 days, 6:40:57 time: 0.9339 data_time: 0.0297 memory: 11089 grad_norm: 3.8768 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7676 loss: 1.7676 2022/08/02 06:44:08 - mmengine - INFO - Epoch(train) [36][1160/1879] lr: 2.0000e-02 eta: 2 days, 6:40:39 time: 0.9157 data_time: 0.0404 memory: 11089 grad_norm: 3.8877 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9894 loss: 1.9894 2022/08/02 06:44:26 - mmengine - INFO - Epoch(train) [36][1180/1879] lr: 2.0000e-02 eta: 2 days, 6:40:20 time: 0.9031 data_time: 0.0296 memory: 11089 grad_norm: 3.8524 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8936 loss: 1.8936 2022/08/02 06:44:45 - mmengine - INFO - Epoch(train) [36][1200/1879] lr: 2.0000e-02 eta: 2 days, 6:40:02 time: 0.9274 data_time: 0.0256 memory: 11089 grad_norm: 3.9180 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8870 loss: 1.8870 2022/08/02 06:45:03 - mmengine - INFO - Epoch(train) [36][1220/1879] lr: 2.0000e-02 eta: 2 days, 6:39:43 time: 0.9059 data_time: 0.0250 memory: 11089 grad_norm: 3.8118 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9583 loss: 1.9583 2022/08/02 06:45:17 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 06:45:21 - mmengine - INFO - Epoch(train) [36][1240/1879] lr: 2.0000e-02 eta: 2 days, 6:39:25 time: 0.9175 data_time: 0.0279 memory: 11089 grad_norm: 3.9086 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8867 loss: 1.8867 2022/08/02 06:45:39 - mmengine - INFO - Epoch(train) [36][1260/1879] lr: 2.0000e-02 eta: 2 days, 6:39:07 time: 0.9128 data_time: 0.0299 memory: 11089 grad_norm: 3.9124 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8982 loss: 1.8982 2022/08/02 06:45:58 - mmengine - INFO - Epoch(train) [36][1280/1879] lr: 2.0000e-02 eta: 2 days, 6:38:49 time: 0.9207 data_time: 0.0228 memory: 11089 grad_norm: 3.8745 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0768 loss: 2.0768 2022/08/02 06:46:16 - mmengine - INFO - Epoch(train) [36][1300/1879] lr: 2.0000e-02 eta: 2 days, 6:38:31 time: 0.9314 data_time: 0.0316 memory: 11089 grad_norm: 3.9769 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9968 loss: 1.9968 2022/08/02 06:46:35 - mmengine - INFO - Epoch(train) [36][1320/1879] lr: 2.0000e-02 eta: 2 days, 6:38:12 time: 0.9086 data_time: 0.0276 memory: 11089 grad_norm: 3.8749 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8637 loss: 1.8637 2022/08/02 06:46:53 - mmengine - INFO - Epoch(train) [36][1340/1879] lr: 2.0000e-02 eta: 2 days, 6:37:54 time: 0.9191 data_time: 0.0338 memory: 11089 grad_norm: 3.9236 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9747 loss: 1.9747 2022/08/02 06:47:11 - mmengine - INFO - Epoch(train) [36][1360/1879] lr: 2.0000e-02 eta: 2 days, 6:37:36 time: 0.9207 data_time: 0.0272 memory: 11089 grad_norm: 3.9147 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8942 loss: 1.8942 2022/08/02 06:47:30 - mmengine - INFO - Epoch(train) [36][1380/1879] lr: 2.0000e-02 eta: 2 days, 6:37:18 time: 0.9190 data_time: 0.0277 memory: 11089 grad_norm: 3.8575 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9973 loss: 1.9973 2022/08/02 06:47:49 - mmengine - INFO - Epoch(train) [36][1400/1879] lr: 2.0000e-02 eta: 2 days, 6:37:02 time: 0.9441 data_time: 0.0288 memory: 11089 grad_norm: 4.0078 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2303 loss: 2.2303 2022/08/02 06:48:07 - mmengine - INFO - Epoch(train) [36][1420/1879] lr: 2.0000e-02 eta: 2 days, 6:36:44 time: 0.9309 data_time: 0.0326 memory: 11089 grad_norm: 3.9467 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9563 loss: 1.9563 2022/08/02 06:48:26 - mmengine - INFO - Epoch(train) [36][1440/1879] lr: 2.0000e-02 eta: 2 days, 6:36:26 time: 0.9114 data_time: 0.0265 memory: 11089 grad_norm: 3.9008 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1198 loss: 2.1198 2022/08/02 06:48:44 - mmengine - INFO - Epoch(train) [36][1460/1879] lr: 2.0000e-02 eta: 2 days, 6:36:07 time: 0.9072 data_time: 0.0299 memory: 11089 grad_norm: 3.9268 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9430 loss: 1.9430 2022/08/02 06:49:02 - mmengine - INFO - Epoch(train) [36][1480/1879] lr: 2.0000e-02 eta: 2 days, 6:35:48 time: 0.9005 data_time: 0.0250 memory: 11089 grad_norm: 3.9448 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9777 loss: 1.9777 2022/08/02 06:49:20 - mmengine - INFO - Epoch(train) [36][1500/1879] lr: 2.0000e-02 eta: 2 days, 6:35:30 time: 0.9324 data_time: 0.0347 memory: 11089 grad_norm: 3.9290 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9382 loss: 1.9382 2022/08/02 06:49:39 - mmengine - INFO - Epoch(train) [36][1520/1879] lr: 2.0000e-02 eta: 2 days, 6:35:12 time: 0.9148 data_time: 0.0263 memory: 11089 grad_norm: 3.8649 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1432 loss: 2.1432 2022/08/02 06:49:57 - mmengine - INFO - Epoch(train) [36][1540/1879] lr: 2.0000e-02 eta: 2 days, 6:34:54 time: 0.9285 data_time: 0.0274 memory: 11089 grad_norm: 3.8704 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9041 loss: 1.9041 2022/08/02 06:50:16 - mmengine - INFO - Epoch(train) [36][1560/1879] lr: 2.0000e-02 eta: 2 days, 6:34:38 time: 0.9482 data_time: 0.0285 memory: 11089 grad_norm: 3.9137 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9726 loss: 1.9726 2022/08/02 06:50:36 - mmengine - INFO - Epoch(train) [36][1580/1879] lr: 2.0000e-02 eta: 2 days, 6:34:26 time: 1.0111 data_time: 0.0263 memory: 11089 grad_norm: 3.8859 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1435 loss: 2.1435 2022/08/02 06:50:55 - mmengine - INFO - Epoch(train) [36][1600/1879] lr: 2.0000e-02 eta: 2 days, 6:34:07 time: 0.9148 data_time: 0.0277 memory: 11089 grad_norm: 3.9745 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8905 loss: 1.8905 2022/08/02 06:51:13 - mmengine - INFO - Epoch(train) [36][1620/1879] lr: 2.0000e-02 eta: 2 days, 6:33:48 time: 0.9015 data_time: 0.0242 memory: 11089 grad_norm: 3.9049 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9995 loss: 1.9995 2022/08/02 06:51:31 - mmengine - INFO - Epoch(train) [36][1640/1879] lr: 2.0000e-02 eta: 2 days, 6:33:30 time: 0.9091 data_time: 0.0264 memory: 11089 grad_norm: 3.8432 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1337 loss: 2.1337 2022/08/02 06:51:49 - mmengine - INFO - Epoch(train) [36][1660/1879] lr: 2.0000e-02 eta: 2 days, 6:33:11 time: 0.9141 data_time: 0.0228 memory: 11089 grad_norm: 3.8900 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1809 loss: 2.1809 2022/08/02 06:52:07 - mmengine - INFO - Epoch(train) [36][1680/1879] lr: 2.0000e-02 eta: 2 days, 6:32:52 time: 0.9012 data_time: 0.0216 memory: 11089 grad_norm: 3.9156 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1413 loss: 2.1413 2022/08/02 06:52:25 - mmengine - INFO - Epoch(train) [36][1700/1879] lr: 2.0000e-02 eta: 2 days, 6:32:33 time: 0.9095 data_time: 0.0281 memory: 11089 grad_norm: 3.8126 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1245 loss: 2.1245 2022/08/02 06:52:44 - mmengine - INFO - Epoch(train) [36][1720/1879] lr: 2.0000e-02 eta: 2 days, 6:32:15 time: 0.9186 data_time: 0.0293 memory: 11089 grad_norm: 3.9971 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1574 loss: 2.1574 2022/08/02 06:53:02 - mmengine - INFO - Epoch(train) [36][1740/1879] lr: 2.0000e-02 eta: 2 days, 6:31:57 time: 0.9232 data_time: 0.0297 memory: 11089 grad_norm: 3.8878 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9271 loss: 1.9271 2022/08/02 06:53:20 - mmengine - INFO - Epoch(train) [36][1760/1879] lr: 2.0000e-02 eta: 2 days, 6:31:38 time: 0.9008 data_time: 0.0253 memory: 11089 grad_norm: 3.9048 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7718 loss: 1.7718 2022/08/02 06:53:38 - mmengine - INFO - Epoch(train) [36][1780/1879] lr: 2.0000e-02 eta: 2 days, 6:31:19 time: 0.9051 data_time: 0.0248 memory: 11089 grad_norm: 3.9059 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9685 loss: 1.9685 2022/08/02 06:53:57 - mmengine - INFO - Epoch(train) [36][1800/1879] lr: 2.0000e-02 eta: 2 days, 6:31:01 time: 0.9169 data_time: 0.0287 memory: 11089 grad_norm: 3.9159 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1198 loss: 2.1198 2022/08/02 06:54:15 - mmengine - INFO - Epoch(train) [36][1820/1879] lr: 2.0000e-02 eta: 2 days, 6:30:42 time: 0.9111 data_time: 0.0318 memory: 11089 grad_norm: 3.8514 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.9385 loss: 1.9385 2022/08/02 06:54:33 - mmengine - INFO - Epoch(train) [36][1840/1879] lr: 2.0000e-02 eta: 2 days, 6:30:24 time: 0.9223 data_time: 0.0269 memory: 11089 grad_norm: 3.9367 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9838 loss: 1.9838 2022/08/02 06:54:52 - mmengine - INFO - Epoch(train) [36][1860/1879] lr: 2.0000e-02 eta: 2 days, 6:30:05 time: 0.9088 data_time: 0.0212 memory: 11089 grad_norm: 3.8977 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9514 loss: 1.9514 2022/08/02 06:55:08 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 06:55:08 - mmengine - INFO - Epoch(train) [36][1879/1879] lr: 2.0000e-02 eta: 2 days, 6:30:05 time: 0.8881 data_time: 0.0239 memory: 11089 grad_norm: 4.0482 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.9650 loss: 1.9650 2022/08/02 06:55:09 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/08/02 06:55:31 - mmengine - INFO - Epoch(train) [37][20/1879] lr: 2.0000e-02 eta: 2 days, 6:28:39 time: 0.9859 data_time: 0.1092 memory: 11089 grad_norm: 4.0213 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9089 loss: 1.9089 2022/08/02 06:55:49 - mmengine - INFO - Epoch(train) [37][40/1879] lr: 2.0000e-02 eta: 2 days, 6:28:21 time: 0.9250 data_time: 0.0223 memory: 11089 grad_norm: 3.8997 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9391 loss: 1.9391 2022/08/02 06:56:08 - mmengine - INFO - Epoch(train) [37][60/1879] lr: 2.0000e-02 eta: 2 days, 6:28:04 time: 0.9313 data_time: 0.0319 memory: 11089 grad_norm: 3.8968 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.0288 loss: 2.0288 2022/08/02 06:56:27 - mmengine - INFO - Epoch(train) [37][80/1879] lr: 2.0000e-02 eta: 2 days, 6:27:47 time: 0.9350 data_time: 0.0341 memory: 11089 grad_norm: 3.8316 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9573 loss: 1.9573 2022/08/02 06:56:45 - mmengine - INFO - Epoch(train) [37][100/1879] lr: 2.0000e-02 eta: 2 days, 6:27:30 time: 0.9378 data_time: 0.0279 memory: 11089 grad_norm: 3.9568 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9526 loss: 1.9526 2022/08/02 06:57:04 - mmengine - INFO - Epoch(train) [37][120/1879] lr: 2.0000e-02 eta: 2 days, 6:27:11 time: 0.9106 data_time: 0.0259 memory: 11089 grad_norm: 3.9947 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9746 loss: 1.9746 2022/08/02 06:57:22 - mmengine - INFO - Epoch(train) [37][140/1879] lr: 2.0000e-02 eta: 2 days, 6:26:53 time: 0.9194 data_time: 0.0257 memory: 11089 grad_norm: 3.9765 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7949 loss: 1.7949 2022/08/02 06:57:40 - mmengine - INFO - Epoch(train) [37][160/1879] lr: 2.0000e-02 eta: 2 days, 6:26:35 time: 0.9193 data_time: 0.0284 memory: 11089 grad_norm: 3.9123 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9934 loss: 1.9934 2022/08/02 06:57:59 - mmengine - INFO - Epoch(train) [37][180/1879] lr: 2.0000e-02 eta: 2 days, 6:26:17 time: 0.9229 data_time: 0.0255 memory: 11089 grad_norm: 3.8360 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7338 loss: 1.7338 2022/08/02 06:58:18 - mmengine - INFO - Epoch(train) [37][200/1879] lr: 2.0000e-02 eta: 2 days, 6:26:01 time: 0.9417 data_time: 0.0264 memory: 11089 grad_norm: 3.8398 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0300 loss: 2.0300 2022/08/02 06:58:36 - mmengine - INFO - Epoch(train) [37][220/1879] lr: 2.0000e-02 eta: 2 days, 6:25:42 time: 0.9144 data_time: 0.0228 memory: 11089 grad_norm: 3.9128 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8757 loss: 1.8757 2022/08/02 06:58:54 - mmengine - INFO - Epoch(train) [37][240/1879] lr: 2.0000e-02 eta: 2 days, 6:25:23 time: 0.9062 data_time: 0.0253 memory: 11089 grad_norm: 3.9393 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8370 loss: 1.8370 2022/08/02 06:59:13 - mmengine - INFO - Epoch(train) [37][260/1879] lr: 2.0000e-02 eta: 2 days, 6:25:05 time: 0.9228 data_time: 0.0260 memory: 11089 grad_norm: 3.7802 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7917 loss: 1.7917 2022/08/02 06:59:31 - mmengine - INFO - Epoch(train) [37][280/1879] lr: 2.0000e-02 eta: 2 days, 6:24:47 time: 0.9128 data_time: 0.0261 memory: 11089 grad_norm: 3.7968 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0870 loss: 2.0870 2022/08/02 06:59:49 - mmengine - INFO - Epoch(train) [37][300/1879] lr: 2.0000e-02 eta: 2 days, 6:24:28 time: 0.9135 data_time: 0.0261 memory: 11089 grad_norm: 3.8624 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9647 loss: 1.9647 2022/08/02 07:00:08 - mmengine - INFO - Epoch(train) [37][320/1879] lr: 2.0000e-02 eta: 2 days, 6:24:10 time: 0.9219 data_time: 0.0278 memory: 11089 grad_norm: 3.9236 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8429 loss: 1.8429 2022/08/02 07:00:26 - mmengine - INFO - Epoch(train) [37][340/1879] lr: 2.0000e-02 eta: 2 days, 6:23:52 time: 0.9204 data_time: 0.0296 memory: 11089 grad_norm: 3.9502 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9844 loss: 1.9844 2022/08/02 07:00:40 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 07:00:44 - mmengine - INFO - Epoch(train) [37][360/1879] lr: 2.0000e-02 eta: 2 days, 6:23:32 time: 0.8832 data_time: 0.0285 memory: 11089 grad_norm: 3.8453 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9385 loss: 1.9385 2022/08/02 07:01:02 - mmengine - INFO - Epoch(train) [37][380/1879] lr: 2.0000e-02 eta: 2 days, 6:23:15 time: 0.9374 data_time: 0.0250 memory: 11089 grad_norm: 3.9024 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9327 loss: 1.9327 2022/08/02 07:01:21 - mmengine - INFO - Epoch(train) [37][400/1879] lr: 2.0000e-02 eta: 2 days, 6:22:57 time: 0.9192 data_time: 0.0327 memory: 11089 grad_norm: 3.9327 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9463 loss: 1.9463 2022/08/02 07:01:39 - mmengine - INFO - Epoch(train) [37][420/1879] lr: 2.0000e-02 eta: 2 days, 6:22:39 time: 0.9196 data_time: 0.0266 memory: 11089 grad_norm: 3.9059 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0317 loss: 2.0317 2022/08/02 07:01:57 - mmengine - INFO - Epoch(train) [37][440/1879] lr: 2.0000e-02 eta: 2 days, 6:22:20 time: 0.8973 data_time: 0.0258 memory: 11089 grad_norm: 3.8640 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2620 loss: 2.2620 2022/08/02 07:02:15 - mmengine - INFO - Epoch(train) [37][460/1879] lr: 2.0000e-02 eta: 2 days, 6:22:01 time: 0.9157 data_time: 0.0322 memory: 11089 grad_norm: 3.9181 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0854 loss: 2.0854 2022/08/02 07:02:34 - mmengine - INFO - Epoch(train) [37][480/1879] lr: 2.0000e-02 eta: 2 days, 6:21:44 time: 0.9336 data_time: 0.0263 memory: 11089 grad_norm: 3.8524 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8561 loss: 1.8561 2022/08/02 07:02:52 - mmengine - INFO - Epoch(train) [37][500/1879] lr: 2.0000e-02 eta: 2 days, 6:21:26 time: 0.9168 data_time: 0.0313 memory: 11089 grad_norm: 3.8279 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9465 loss: 1.9465 2022/08/02 07:03:11 - mmengine - INFO - Epoch(train) [37][520/1879] lr: 2.0000e-02 eta: 2 days, 6:21:07 time: 0.9102 data_time: 0.0257 memory: 11089 grad_norm: 3.8867 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9730 loss: 1.9730 2022/08/02 07:03:29 - mmengine - INFO - Epoch(train) [37][540/1879] lr: 2.0000e-02 eta: 2 days, 6:20:50 time: 0.9297 data_time: 0.0284 memory: 11089 grad_norm: 3.9106 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.0458 loss: 2.0458 2022/08/02 07:03:48 - mmengine - INFO - Epoch(train) [37][560/1879] lr: 2.0000e-02 eta: 2 days, 6:20:32 time: 0.9215 data_time: 0.0345 memory: 11089 grad_norm: 3.8381 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8514 loss: 1.8514 2022/08/02 07:04:06 - mmengine - INFO - Epoch(train) [37][580/1879] lr: 2.0000e-02 eta: 2 days, 6:20:13 time: 0.9112 data_time: 0.0296 memory: 11089 grad_norm: 3.8151 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0704 loss: 2.0704 2022/08/02 07:04:24 - mmengine - INFO - Epoch(train) [37][600/1879] lr: 2.0000e-02 eta: 2 days, 6:19:54 time: 0.9080 data_time: 0.0319 memory: 11089 grad_norm: 3.9610 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9675 loss: 1.9675 2022/08/02 07:04:43 - mmengine - INFO - Epoch(train) [37][620/1879] lr: 2.0000e-02 eta: 2 days, 6:19:38 time: 0.9458 data_time: 0.0266 memory: 11089 grad_norm: 3.8957 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9446 loss: 1.9446 2022/08/02 07:05:02 - mmengine - INFO - Epoch(train) [37][640/1879] lr: 2.0000e-02 eta: 2 days, 6:19:21 time: 0.9423 data_time: 0.0361 memory: 11089 grad_norm: 3.9275 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9774 loss: 1.9774 2022/08/02 07:05:20 - mmengine - INFO - Epoch(train) [37][660/1879] lr: 2.0000e-02 eta: 2 days, 6:19:01 time: 0.8862 data_time: 0.0218 memory: 11089 grad_norm: 3.9219 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8828 loss: 1.8828 2022/08/02 07:05:38 - mmengine - INFO - Epoch(train) [37][680/1879] lr: 2.0000e-02 eta: 2 days, 6:18:43 time: 0.9167 data_time: 0.0337 memory: 11089 grad_norm: 3.9289 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8731 loss: 1.8731 2022/08/02 07:05:56 - mmengine - INFO - Epoch(train) [37][700/1879] lr: 2.0000e-02 eta: 2 days, 6:18:24 time: 0.9076 data_time: 0.0303 memory: 11089 grad_norm: 3.8350 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8351 loss: 1.8351 2022/08/02 07:06:14 - mmengine - INFO - Epoch(train) [37][720/1879] lr: 2.0000e-02 eta: 2 days, 6:18:05 time: 0.9048 data_time: 0.0246 memory: 11089 grad_norm: 3.9612 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9003 loss: 1.9003 2022/08/02 07:06:33 - mmengine - INFO - Epoch(train) [37][740/1879] lr: 2.0000e-02 eta: 2 days, 6:17:49 time: 0.9453 data_time: 0.0313 memory: 11089 grad_norm: 3.8768 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0580 loss: 2.0580 2022/08/02 07:06:52 - mmengine - INFO - Epoch(train) [37][760/1879] lr: 2.0000e-02 eta: 2 days, 6:17:31 time: 0.9258 data_time: 0.0331 memory: 11089 grad_norm: 3.8689 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0279 loss: 2.0279 2022/08/02 07:07:10 - mmengine - INFO - Epoch(train) [37][780/1879] lr: 2.0000e-02 eta: 2 days, 6:17:12 time: 0.9033 data_time: 0.0236 memory: 11089 grad_norm: 3.7982 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8356 loss: 1.8356 2022/08/02 07:07:28 - mmengine - INFO - Epoch(train) [37][800/1879] lr: 2.0000e-02 eta: 2 days, 6:16:54 time: 0.9215 data_time: 0.0306 memory: 11089 grad_norm: 3.8751 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0591 loss: 2.0591 2022/08/02 07:07:46 - mmengine - INFO - Epoch(train) [37][820/1879] lr: 2.0000e-02 eta: 2 days, 6:16:36 time: 0.9157 data_time: 0.0346 memory: 11089 grad_norm: 3.8001 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.0187 loss: 2.0187 2022/08/02 07:08:05 - mmengine - INFO - Epoch(train) [37][840/1879] lr: 2.0000e-02 eta: 2 days, 6:16:17 time: 0.9122 data_time: 0.0307 memory: 11089 grad_norm: 3.9027 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0164 loss: 2.0164 2022/08/02 07:08:23 - mmengine - INFO - Epoch(train) [37][860/1879] lr: 2.0000e-02 eta: 2 days, 6:15:59 time: 0.9274 data_time: 0.0219 memory: 11089 grad_norm: 3.8760 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8778 loss: 1.8778 2022/08/02 07:08:42 - mmengine - INFO - Epoch(train) [37][880/1879] lr: 2.0000e-02 eta: 2 days, 6:15:42 time: 0.9256 data_time: 0.0379 memory: 11089 grad_norm: 3.9201 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0747 loss: 2.0747 2022/08/02 07:09:00 - mmengine - INFO - Epoch(train) [37][900/1879] lr: 2.0000e-02 eta: 2 days, 6:15:23 time: 0.9092 data_time: 0.0289 memory: 11089 grad_norm: 3.9511 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8853 loss: 1.8853 2022/08/02 07:09:18 - mmengine - INFO - Epoch(train) [37][920/1879] lr: 2.0000e-02 eta: 2 days, 6:15:05 time: 0.9178 data_time: 0.0321 memory: 11089 grad_norm: 3.8127 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8768 loss: 1.8768 2022/08/02 07:09:37 - mmengine - INFO - Epoch(train) [37][940/1879] lr: 2.0000e-02 eta: 2 days, 6:14:47 time: 0.9156 data_time: 0.0277 memory: 11089 grad_norm: 3.8806 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8517 loss: 1.8517 2022/08/02 07:09:55 - mmengine - INFO - Epoch(train) [37][960/1879] lr: 2.0000e-02 eta: 2 days, 6:14:29 time: 0.9257 data_time: 0.0288 memory: 11089 grad_norm: 3.9167 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9323 loss: 1.9323 2022/08/02 07:10:14 - mmengine - INFO - Epoch(train) [37][980/1879] lr: 2.0000e-02 eta: 2 days, 6:14:11 time: 0.9229 data_time: 0.0237 memory: 11089 grad_norm: 3.8370 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8777 loss: 1.8777 2022/08/02 07:10:33 - mmengine - INFO - Epoch(train) [37][1000/1879] lr: 2.0000e-02 eta: 2 days, 6:13:55 time: 0.9480 data_time: 0.0318 memory: 11089 grad_norm: 3.9405 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9430 loss: 1.9430 2022/08/02 07:10:50 - mmengine - INFO - Epoch(train) [37][1020/1879] lr: 2.0000e-02 eta: 2 days, 6:13:34 time: 0.8702 data_time: 0.0254 memory: 11089 grad_norm: 3.9312 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9102 loss: 1.9102 2022/08/02 07:11:08 - mmengine - INFO - Epoch(train) [37][1040/1879] lr: 2.0000e-02 eta: 2 days, 6:13:16 time: 0.9256 data_time: 0.0297 memory: 11089 grad_norm: 3.7992 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1360 loss: 2.1360 2022/08/02 07:11:27 - mmengine - INFO - Epoch(train) [37][1060/1879] lr: 2.0000e-02 eta: 2 days, 6:12:59 time: 0.9393 data_time: 0.0312 memory: 11089 grad_norm: 3.8041 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9382 loss: 1.9382 2022/08/02 07:11:45 - mmengine - INFO - Epoch(train) [37][1080/1879] lr: 2.0000e-02 eta: 2 days, 6:12:40 time: 0.9091 data_time: 0.0286 memory: 11089 grad_norm: 3.9898 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.1726 loss: 2.1726 2022/08/02 07:12:03 - mmengine - INFO - Epoch(train) [37][1100/1879] lr: 2.0000e-02 eta: 2 days, 6:12:21 time: 0.9014 data_time: 0.0222 memory: 11089 grad_norm: 3.9759 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0424 loss: 2.0424 2022/08/02 07:12:22 - mmengine - INFO - Epoch(train) [37][1120/1879] lr: 2.0000e-02 eta: 2 days, 6:12:03 time: 0.9133 data_time: 0.0278 memory: 11089 grad_norm: 3.9239 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1431 loss: 2.1431 2022/08/02 07:12:40 - mmengine - INFO - Epoch(train) [37][1140/1879] lr: 2.0000e-02 eta: 2 days, 6:11:45 time: 0.9239 data_time: 0.0293 memory: 11089 grad_norm: 3.8373 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8659 loss: 1.8659 2022/08/02 07:12:59 - mmengine - INFO - Epoch(train) [37][1160/1879] lr: 2.0000e-02 eta: 2 days, 6:11:27 time: 0.9253 data_time: 0.0320 memory: 11089 grad_norm: 3.8351 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0693 loss: 2.0693 2022/08/02 07:13:18 - mmengine - INFO - Epoch(train) [37][1180/1879] lr: 2.0000e-02 eta: 2 days, 6:11:10 time: 0.9414 data_time: 0.0326 memory: 11089 grad_norm: 3.8133 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8239 loss: 1.8239 2022/08/02 07:13:36 - mmengine - INFO - Epoch(train) [37][1200/1879] lr: 2.0000e-02 eta: 2 days, 6:10:52 time: 0.9085 data_time: 0.0257 memory: 11089 grad_norm: 3.8418 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8978 loss: 1.8978 2022/08/02 07:13:54 - mmengine - INFO - Epoch(train) [37][1220/1879] lr: 2.0000e-02 eta: 2 days, 6:10:34 time: 0.9258 data_time: 0.0298 memory: 11089 grad_norm: 3.8503 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8870 loss: 1.8870 2022/08/02 07:14:13 - mmengine - INFO - Epoch(train) [37][1240/1879] lr: 2.0000e-02 eta: 2 days, 6:10:16 time: 0.9152 data_time: 0.0304 memory: 11089 grad_norm: 3.9020 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9557 loss: 1.9557 2022/08/02 07:14:31 - mmengine - INFO - Epoch(train) [37][1260/1879] lr: 2.0000e-02 eta: 2 days, 6:09:57 time: 0.9162 data_time: 0.0280 memory: 11089 grad_norm: 3.9286 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9996 loss: 1.9996 2022/08/02 07:14:50 - mmengine - INFO - Epoch(train) [37][1280/1879] lr: 2.0000e-02 eta: 2 days, 6:09:40 time: 0.9391 data_time: 0.0298 memory: 11089 grad_norm: 4.0638 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0003 loss: 2.0003 2022/08/02 07:15:08 - mmengine - INFO - Epoch(train) [37][1300/1879] lr: 2.0000e-02 eta: 2 days, 6:09:23 time: 0.9239 data_time: 0.0368 memory: 11089 grad_norm: 3.9329 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9653 loss: 1.9653 2022/08/02 07:15:27 - mmengine - INFO - Epoch(train) [37][1320/1879] lr: 2.0000e-02 eta: 2 days, 6:09:06 time: 0.9398 data_time: 0.0326 memory: 11089 grad_norm: 3.8768 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8836 loss: 1.8836 2022/08/02 07:15:45 - mmengine - INFO - Epoch(train) [37][1340/1879] lr: 2.0000e-02 eta: 2 days, 6:08:48 time: 0.9249 data_time: 0.0371 memory: 11089 grad_norm: 3.9838 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9811 loss: 1.9811 2022/08/02 07:16:01 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 07:16:04 - mmengine - INFO - Epoch(train) [37][1360/1879] lr: 2.0000e-02 eta: 2 days, 6:08:32 time: 0.9495 data_time: 0.0331 memory: 11089 grad_norm: 3.8914 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8985 loss: 1.8985 2022/08/02 07:16:23 - mmengine - INFO - Epoch(train) [37][1380/1879] lr: 2.0000e-02 eta: 2 days, 6:08:15 time: 0.9433 data_time: 0.0281 memory: 11089 grad_norm: 3.9243 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0526 loss: 2.0526 2022/08/02 07:16:42 - mmengine - INFO - Epoch(train) [37][1400/1879] lr: 2.0000e-02 eta: 2 days, 6:07:57 time: 0.9244 data_time: 0.0304 memory: 11089 grad_norm: 3.8881 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0758 loss: 2.0758 2022/08/02 07:17:01 - mmengine - INFO - Epoch(train) [37][1420/1879] lr: 2.0000e-02 eta: 2 days, 6:07:41 time: 0.9464 data_time: 0.0296 memory: 11089 grad_norm: 3.7734 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9365 loss: 1.9365 2022/08/02 07:17:19 - mmengine - INFO - Epoch(train) [37][1440/1879] lr: 2.0000e-02 eta: 2 days, 6:07:23 time: 0.9241 data_time: 0.0303 memory: 11089 grad_norm: 3.8409 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8117 loss: 1.8117 2022/08/02 07:17:38 - mmengine - INFO - Epoch(train) [37][1460/1879] lr: 2.0000e-02 eta: 2 days, 6:07:06 time: 0.9421 data_time: 0.0286 memory: 11089 grad_norm: 3.8241 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0507 loss: 2.0507 2022/08/02 07:17:57 - mmengine - INFO - Epoch(train) [37][1480/1879] lr: 2.0000e-02 eta: 2 days, 6:06:48 time: 0.9214 data_time: 0.0263 memory: 11089 grad_norm: 3.8684 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0352 loss: 2.0352 2022/08/02 07:18:16 - mmengine - INFO - Epoch(train) [37][1500/1879] lr: 2.0000e-02 eta: 2 days, 6:06:32 time: 0.9531 data_time: 0.0286 memory: 11089 grad_norm: 3.9002 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9769 loss: 1.9769 2022/08/02 07:18:34 - mmengine - INFO - Epoch(train) [37][1520/1879] lr: 2.0000e-02 eta: 2 days, 6:06:15 time: 0.9268 data_time: 0.0367 memory: 11089 grad_norm: 3.9203 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9381 loss: 1.9381 2022/08/02 07:18:52 - mmengine - INFO - Epoch(train) [37][1540/1879] lr: 2.0000e-02 eta: 2 days, 6:05:56 time: 0.9149 data_time: 0.0273 memory: 11089 grad_norm: 3.8971 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8245 loss: 1.8245 2022/08/02 07:19:11 - mmengine - INFO - Epoch(train) [37][1560/1879] lr: 2.0000e-02 eta: 2 days, 6:05:39 time: 0.9264 data_time: 0.0285 memory: 11089 grad_norm: 3.8990 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0521 loss: 2.0521 2022/08/02 07:19:29 - mmengine - INFO - Epoch(train) [37][1580/1879] lr: 2.0000e-02 eta: 2 days, 6:05:21 time: 0.9269 data_time: 0.0266 memory: 11089 grad_norm: 3.9367 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9516 loss: 1.9516 2022/08/02 07:19:48 - mmengine - INFO - Epoch(train) [37][1600/1879] lr: 2.0000e-02 eta: 2 days, 6:05:05 time: 0.9464 data_time: 0.0266 memory: 11089 grad_norm: 3.9629 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0730 loss: 2.0730 2022/08/02 07:20:07 - mmengine - INFO - Epoch(train) [37][1620/1879] lr: 2.0000e-02 eta: 2 days, 6:04:46 time: 0.9116 data_time: 0.0301 memory: 11089 grad_norm: 3.9221 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9834 loss: 1.9834 2022/08/02 07:20:25 - mmengine - INFO - Epoch(train) [37][1640/1879] lr: 2.0000e-02 eta: 2 days, 6:04:28 time: 0.9123 data_time: 0.0213 memory: 11089 grad_norm: 3.9505 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8224 loss: 1.8224 2022/08/02 07:20:44 - mmengine - INFO - Epoch(train) [37][1660/1879] lr: 2.0000e-02 eta: 2 days, 6:04:11 time: 0.9482 data_time: 0.0294 memory: 11089 grad_norm: 3.8625 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8633 loss: 1.8633 2022/08/02 07:21:02 - mmengine - INFO - Epoch(train) [37][1680/1879] lr: 2.0000e-02 eta: 2 days, 6:03:54 time: 0.9261 data_time: 0.0278 memory: 11089 grad_norm: 3.8952 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0601 loss: 2.0601 2022/08/02 07:21:21 - mmengine - INFO - Epoch(train) [37][1700/1879] lr: 2.0000e-02 eta: 2 days, 6:03:36 time: 0.9339 data_time: 0.0293 memory: 11089 grad_norm: 3.9277 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9717 loss: 1.9717 2022/08/02 07:21:40 - mmengine - INFO - Epoch(train) [37][1720/1879] lr: 2.0000e-02 eta: 2 days, 6:03:19 time: 0.9293 data_time: 0.0292 memory: 11089 grad_norm: 3.8706 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0675 loss: 2.0675 2022/08/02 07:21:58 - mmengine - INFO - Epoch(train) [37][1740/1879] lr: 2.0000e-02 eta: 2 days, 6:03:00 time: 0.9062 data_time: 0.0262 memory: 11089 grad_norm: 3.8674 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9696 loss: 1.9696 2022/08/02 07:22:16 - mmengine - INFO - Epoch(train) [37][1760/1879] lr: 2.0000e-02 eta: 2 days, 6:02:43 time: 0.9327 data_time: 0.0287 memory: 11089 grad_norm: 3.9295 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0642 loss: 2.0642 2022/08/02 07:22:35 - mmengine - INFO - Epoch(train) [37][1780/1879] lr: 2.0000e-02 eta: 2 days, 6:02:25 time: 0.9255 data_time: 0.0346 memory: 11089 grad_norm: 3.8547 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9031 loss: 1.9031 2022/08/02 07:22:54 - mmengine - INFO - Epoch(train) [37][1800/1879] lr: 2.0000e-02 eta: 2 days, 6:02:08 time: 0.9401 data_time: 0.0320 memory: 11089 grad_norm: 3.9213 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8567 loss: 1.8567 2022/08/02 07:23:12 - mmengine - INFO - Epoch(train) [37][1820/1879] lr: 2.0000e-02 eta: 2 days, 6:01:50 time: 0.9203 data_time: 0.0256 memory: 11089 grad_norm: 3.8746 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9363 loss: 1.9363 2022/08/02 07:23:30 - mmengine - INFO - Epoch(train) [37][1840/1879] lr: 2.0000e-02 eta: 2 days, 6:01:31 time: 0.9013 data_time: 0.0268 memory: 11089 grad_norm: 3.8578 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1739 loss: 2.1739 2022/08/02 07:23:49 - mmengine - INFO - Epoch(train) [37][1860/1879] lr: 2.0000e-02 eta: 2 days, 6:01:14 time: 0.9427 data_time: 0.0254 memory: 11089 grad_norm: 3.9127 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9448 loss: 1.9448 2022/08/02 07:24:06 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 07:24:06 - mmengine - INFO - Epoch(train) [37][1879/1879] lr: 2.0000e-02 eta: 2 days, 6:01:14 time: 0.8881 data_time: 0.0286 memory: 11089 grad_norm: 4.1117 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.2013 loss: 2.2013 2022/08/02 07:24:26 - mmengine - INFO - Epoch(train) [38][20/1879] lr: 2.0000e-02 eta: 2 days, 5:59:51 time: 1.0044 data_time: 0.1185 memory: 11089 grad_norm: 3.7742 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8069 loss: 1.8069 2022/08/02 07:24:45 - mmengine - INFO - Epoch(train) [38][40/1879] lr: 2.0000e-02 eta: 2 days, 5:59:34 time: 0.9330 data_time: 0.0281 memory: 11089 grad_norm: 3.8300 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9673 loss: 1.9673 2022/08/02 07:25:03 - mmengine - INFO - Epoch(train) [38][60/1879] lr: 2.0000e-02 eta: 2 days, 5:59:14 time: 0.8974 data_time: 0.0244 memory: 11089 grad_norm: 3.9870 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8774 loss: 1.8774 2022/08/02 07:25:21 - mmengine - INFO - Epoch(train) [38][80/1879] lr: 2.0000e-02 eta: 2 days, 5:58:55 time: 0.8971 data_time: 0.0267 memory: 11089 grad_norm: 3.9300 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0864 loss: 2.0864 2022/08/02 07:25:39 - mmengine - INFO - Epoch(train) [38][100/1879] lr: 2.0000e-02 eta: 2 days, 5:58:36 time: 0.9088 data_time: 0.0293 memory: 11089 grad_norm: 3.8892 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9161 loss: 1.9161 2022/08/02 07:25:57 - mmengine - INFO - Epoch(train) [38][120/1879] lr: 2.0000e-02 eta: 2 days, 5:58:18 time: 0.9157 data_time: 0.0248 memory: 11089 grad_norm: 3.8575 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9739 loss: 1.9739 2022/08/02 07:26:15 - mmengine - INFO - Epoch(train) [38][140/1879] lr: 2.0000e-02 eta: 2 days, 5:57:59 time: 0.9104 data_time: 0.0297 memory: 11089 grad_norm: 3.9407 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7590 loss: 1.7590 2022/08/02 07:26:33 - mmengine - INFO - Epoch(train) [38][160/1879] lr: 2.0000e-02 eta: 2 days, 5:57:40 time: 0.9056 data_time: 0.0246 memory: 11089 grad_norm: 3.9410 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0155 loss: 2.0155 2022/08/02 07:26:52 - mmengine - INFO - Epoch(train) [38][180/1879] lr: 2.0000e-02 eta: 2 days, 5:57:22 time: 0.9140 data_time: 0.0287 memory: 11089 grad_norm: 3.9209 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8957 loss: 1.8957 2022/08/02 07:27:11 - mmengine - INFO - Epoch(train) [38][200/1879] lr: 2.0000e-02 eta: 2 days, 5:57:05 time: 0.9453 data_time: 0.0329 memory: 11089 grad_norm: 3.8271 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8082 loss: 1.8082 2022/08/02 07:27:29 - mmengine - INFO - Epoch(train) [38][220/1879] lr: 2.0000e-02 eta: 2 days, 5:56:47 time: 0.9244 data_time: 0.0287 memory: 11089 grad_norm: 4.0190 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9053 loss: 1.9053 2022/08/02 07:27:47 - mmengine - INFO - Epoch(train) [38][240/1879] lr: 2.0000e-02 eta: 2 days, 5:56:29 time: 0.9060 data_time: 0.0222 memory: 11089 grad_norm: 3.8836 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9953 loss: 1.9953 2022/08/02 07:28:06 - mmengine - INFO - Epoch(train) [38][260/1879] lr: 2.0000e-02 eta: 2 days, 5:56:10 time: 0.9176 data_time: 0.0287 memory: 11089 grad_norm: 3.8708 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9013 loss: 1.9013 2022/08/02 07:28:24 - mmengine - INFO - Epoch(train) [38][280/1879] lr: 2.0000e-02 eta: 2 days, 5:55:52 time: 0.9106 data_time: 0.0224 memory: 11089 grad_norm: 3.8732 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8086 loss: 1.8086 2022/08/02 07:28:43 - mmengine - INFO - Epoch(train) [38][300/1879] lr: 2.0000e-02 eta: 2 days, 5:55:35 time: 0.9375 data_time: 0.0305 memory: 11089 grad_norm: 4.0023 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1639 loss: 2.1639 2022/08/02 07:29:01 - mmengine - INFO - Epoch(train) [38][320/1879] lr: 2.0000e-02 eta: 2 days, 5:55:17 time: 0.9259 data_time: 0.0359 memory: 11089 grad_norm: 3.9559 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8999 loss: 1.8999 2022/08/02 07:29:19 - mmengine - INFO - Epoch(train) [38][340/1879] lr: 2.0000e-02 eta: 2 days, 5:54:58 time: 0.8964 data_time: 0.0337 memory: 11089 grad_norm: 3.8983 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9094 loss: 1.9094 2022/08/02 07:29:38 - mmengine - INFO - Epoch(train) [38][360/1879] lr: 2.0000e-02 eta: 2 days, 5:54:40 time: 0.9270 data_time: 0.0276 memory: 11089 grad_norm: 3.8943 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8141 loss: 1.8141 2022/08/02 07:29:56 - mmengine - INFO - Epoch(train) [38][380/1879] lr: 2.0000e-02 eta: 2 days, 5:54:21 time: 0.9032 data_time: 0.0303 memory: 11089 grad_norm: 3.7576 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0569 loss: 2.0569 2022/08/02 07:30:14 - mmengine - INFO - Epoch(train) [38][400/1879] lr: 2.0000e-02 eta: 2 days, 5:54:03 time: 0.9159 data_time: 0.0291 memory: 11089 grad_norm: 3.7542 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9322 loss: 1.9322 2022/08/02 07:30:33 - mmengine - INFO - Epoch(train) [38][420/1879] lr: 2.0000e-02 eta: 2 days, 5:53:46 time: 0.9516 data_time: 0.0321 memory: 11089 grad_norm: 3.8708 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7203 loss: 1.7203 2022/08/02 07:30:51 - mmengine - INFO - Epoch(train) [38][440/1879] lr: 2.0000e-02 eta: 2 days, 5:53:28 time: 0.9068 data_time: 0.0263 memory: 11089 grad_norm: 3.9830 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0372 loss: 2.0372 2022/08/02 07:31:10 - mmengine - INFO - Epoch(train) [38][460/1879] lr: 2.0000e-02 eta: 2 days, 5:53:10 time: 0.9273 data_time: 0.0271 memory: 11089 grad_norm: 3.9995 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9903 loss: 1.9903 2022/08/02 07:31:25 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 07:31:28 - mmengine - INFO - Epoch(train) [38][480/1879] lr: 2.0000e-02 eta: 2 days, 5:52:53 time: 0.9339 data_time: 0.0299 memory: 11089 grad_norm: 3.9777 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9173 loss: 1.9173 2022/08/02 07:31:46 - mmengine - INFO - Epoch(train) [38][500/1879] lr: 2.0000e-02 eta: 2 days, 5:52:34 time: 0.9075 data_time: 0.0257 memory: 11089 grad_norm: 3.9221 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.9505 loss: 1.9505 2022/08/02 07:32:05 - mmengine - INFO - Epoch(train) [38][520/1879] lr: 2.0000e-02 eta: 2 days, 5:52:16 time: 0.9295 data_time: 0.0281 memory: 11089 grad_norm: 3.9166 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9071 loss: 1.9071 2022/08/02 07:32:23 - mmengine - INFO - Epoch(train) [38][540/1879] lr: 2.0000e-02 eta: 2 days, 5:51:57 time: 0.9042 data_time: 0.0294 memory: 11089 grad_norm: 3.8342 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0045 loss: 2.0045 2022/08/02 07:32:42 - mmengine - INFO - Epoch(train) [38][560/1879] lr: 2.0000e-02 eta: 2 days, 5:51:41 time: 0.9389 data_time: 0.0253 memory: 11089 grad_norm: 3.8870 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0130 loss: 2.0130 2022/08/02 07:33:00 - mmengine - INFO - Epoch(train) [38][580/1879] lr: 2.0000e-02 eta: 2 days, 5:51:23 time: 0.9258 data_time: 0.0320 memory: 11089 grad_norm: 3.9233 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0162 loss: 2.0162 2022/08/02 07:33:19 - mmengine - INFO - Epoch(train) [38][600/1879] lr: 2.0000e-02 eta: 2 days, 5:51:04 time: 0.9122 data_time: 0.0234 memory: 11089 grad_norm: 3.9529 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0871 loss: 2.0871 2022/08/02 07:33:38 - mmengine - INFO - Epoch(train) [38][620/1879] lr: 2.0000e-02 eta: 2 days, 5:50:48 time: 0.9402 data_time: 0.0341 memory: 11089 grad_norm: 3.9961 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8476 loss: 1.8476 2022/08/02 07:33:56 - mmengine - INFO - Epoch(train) [38][640/1879] lr: 2.0000e-02 eta: 2 days, 5:50:30 time: 0.9298 data_time: 0.0294 memory: 11089 grad_norm: 3.8565 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8963 loss: 1.8963 2022/08/02 07:34:15 - mmengine - INFO - Epoch(train) [38][660/1879] lr: 2.0000e-02 eta: 2 days, 5:50:13 time: 0.9345 data_time: 0.0295 memory: 11089 grad_norm: 3.8960 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9999 loss: 1.9999 2022/08/02 07:34:33 - mmengine - INFO - Epoch(train) [38][680/1879] lr: 2.0000e-02 eta: 2 days, 5:49:55 time: 0.9261 data_time: 0.0274 memory: 11089 grad_norm: 4.0150 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0977 loss: 2.0977 2022/08/02 07:34:52 - mmengine - INFO - Epoch(train) [38][700/1879] lr: 2.0000e-02 eta: 2 days, 5:49:38 time: 0.9356 data_time: 0.0367 memory: 11089 grad_norm: 3.8696 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9081 loss: 1.9081 2022/08/02 07:35:10 - mmengine - INFO - Epoch(train) [38][720/1879] lr: 2.0000e-02 eta: 2 days, 5:49:18 time: 0.8927 data_time: 0.0229 memory: 11089 grad_norm: 3.9241 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8407 loss: 1.8407 2022/08/02 07:35:29 - mmengine - INFO - Epoch(train) [38][740/1879] lr: 2.0000e-02 eta: 2 days, 5:49:01 time: 0.9319 data_time: 0.0283 memory: 11089 grad_norm: 3.8066 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8887 loss: 1.8887 2022/08/02 07:35:47 - mmengine - INFO - Epoch(train) [38][760/1879] lr: 2.0000e-02 eta: 2 days, 5:48:42 time: 0.9000 data_time: 0.0288 memory: 11089 grad_norm: 3.8597 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9407 loss: 1.9407 2022/08/02 07:36:05 - mmengine - INFO - Epoch(train) [38][780/1879] lr: 2.0000e-02 eta: 2 days, 5:48:23 time: 0.9089 data_time: 0.0251 memory: 11089 grad_norm: 3.9097 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7716 loss: 1.7716 2022/08/02 07:36:23 - mmengine - INFO - Epoch(train) [38][800/1879] lr: 2.0000e-02 eta: 2 days, 5:48:04 time: 0.9029 data_time: 0.0239 memory: 11089 grad_norm: 3.8269 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7958 loss: 1.7958 2022/08/02 07:36:41 - mmengine - INFO - Epoch(train) [38][820/1879] lr: 2.0000e-02 eta: 2 days, 5:47:45 time: 0.9111 data_time: 0.0269 memory: 11089 grad_norm: 3.8856 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1927 loss: 2.1927 2022/08/02 07:37:00 - mmengine - INFO - Epoch(train) [38][840/1879] lr: 2.0000e-02 eta: 2 days, 5:47:28 time: 0.9333 data_time: 0.0287 memory: 11089 grad_norm: 3.9551 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8373 loss: 1.8373 2022/08/02 07:37:18 - mmengine - INFO - Epoch(train) [38][860/1879] lr: 2.0000e-02 eta: 2 days, 5:47:10 time: 0.9255 data_time: 0.0314 memory: 11089 grad_norm: 3.9916 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9429 loss: 1.9429 2022/08/02 07:37:36 - mmengine - INFO - Epoch(train) [38][880/1879] lr: 2.0000e-02 eta: 2 days, 5:46:52 time: 0.9152 data_time: 0.0265 memory: 11089 grad_norm: 3.8732 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0680 loss: 2.0680 2022/08/02 07:37:55 - mmengine - INFO - Epoch(train) [38][900/1879] lr: 2.0000e-02 eta: 2 days, 5:46:33 time: 0.9101 data_time: 0.0215 memory: 11089 grad_norm: 3.8099 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1446 loss: 2.1446 2022/08/02 07:38:14 - mmengine - INFO - Epoch(train) [38][920/1879] lr: 2.0000e-02 eta: 2 days, 5:46:17 time: 0.9443 data_time: 0.0287 memory: 11089 grad_norm: 3.9033 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0274 loss: 2.0274 2022/08/02 07:38:32 - mmengine - INFO - Epoch(train) [38][940/1879] lr: 2.0000e-02 eta: 2 days, 5:45:59 time: 0.9289 data_time: 0.0226 memory: 11089 grad_norm: 3.8850 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9721 loss: 1.9721 2022/08/02 07:38:51 - mmengine - INFO - Epoch(train) [38][960/1879] lr: 2.0000e-02 eta: 2 days, 5:45:43 time: 0.9499 data_time: 0.0331 memory: 11089 grad_norm: 3.8702 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8063 loss: 1.8063 2022/08/02 07:39:10 - mmengine - INFO - Epoch(train) [38][980/1879] lr: 2.0000e-02 eta: 2 days, 5:45:26 time: 0.9430 data_time: 0.0351 memory: 11089 grad_norm: 3.9933 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0266 loss: 2.0266 2022/08/02 07:39:28 - mmengine - INFO - Epoch(train) [38][1000/1879] lr: 2.0000e-02 eta: 2 days, 5:45:08 time: 0.9100 data_time: 0.0275 memory: 11089 grad_norm: 3.8915 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9814 loss: 1.9814 2022/08/02 07:39:46 - mmengine - INFO - Epoch(train) [38][1020/1879] lr: 2.0000e-02 eta: 2 days, 5:44:48 time: 0.8935 data_time: 0.0251 memory: 11089 grad_norm: 3.8813 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9121 loss: 1.9121 2022/08/02 07:40:05 - mmengine - INFO - Epoch(train) [38][1040/1879] lr: 2.0000e-02 eta: 2 days, 5:44:31 time: 0.9361 data_time: 0.0412 memory: 11089 grad_norm: 3.9217 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7548 loss: 1.7548 2022/08/02 07:40:24 - mmengine - INFO - Epoch(train) [38][1060/1879] lr: 2.0000e-02 eta: 2 days, 5:44:14 time: 0.9443 data_time: 0.0297 memory: 11089 grad_norm: 3.9188 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9097 loss: 1.9097 2022/08/02 07:40:42 - mmengine - INFO - Epoch(train) [38][1080/1879] lr: 2.0000e-02 eta: 2 days, 5:43:58 time: 0.9385 data_time: 0.0284 memory: 11089 grad_norm: 3.8613 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9404 loss: 1.9404 2022/08/02 07:41:01 - mmengine - INFO - Epoch(train) [38][1100/1879] lr: 2.0000e-02 eta: 2 days, 5:43:38 time: 0.9014 data_time: 0.0194 memory: 11089 grad_norm: 4.0152 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8755 loss: 1.8755 2022/08/02 07:41:19 - mmengine - INFO - Epoch(train) [38][1120/1879] lr: 2.0000e-02 eta: 2 days, 5:43:22 time: 0.9467 data_time: 0.0326 memory: 11089 grad_norm: 3.8415 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1099 loss: 2.1099 2022/08/02 07:41:37 - mmengine - INFO - Epoch(train) [38][1140/1879] lr: 2.0000e-02 eta: 2 days, 5:43:03 time: 0.9013 data_time: 0.0213 memory: 11089 grad_norm: 4.0353 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0143 loss: 2.0143 2022/08/02 07:41:56 - mmengine - INFO - Epoch(train) [38][1160/1879] lr: 2.0000e-02 eta: 2 days, 5:42:45 time: 0.9244 data_time: 0.0235 memory: 11089 grad_norm: 3.9295 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0263 loss: 2.0263 2022/08/02 07:42:14 - mmengine - INFO - Epoch(train) [38][1180/1879] lr: 2.0000e-02 eta: 2 days, 5:42:26 time: 0.9108 data_time: 0.0283 memory: 11089 grad_norm: 3.9601 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0382 loss: 2.0382 2022/08/02 07:42:32 - mmengine - INFO - Epoch(train) [38][1200/1879] lr: 2.0000e-02 eta: 2 days, 5:42:07 time: 0.8978 data_time: 0.0267 memory: 11089 grad_norm: 3.9501 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0534 loss: 2.0534 2022/08/02 07:42:51 - mmengine - INFO - Epoch(train) [38][1220/1879] lr: 2.0000e-02 eta: 2 days, 5:41:49 time: 0.9202 data_time: 0.0258 memory: 11089 grad_norm: 3.9563 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7895 loss: 1.7895 2022/08/02 07:43:10 - mmengine - INFO - Epoch(train) [38][1240/1879] lr: 2.0000e-02 eta: 2 days, 5:41:33 time: 0.9497 data_time: 0.0364 memory: 11089 grad_norm: 3.8381 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9911 loss: 1.9911 2022/08/02 07:43:28 - mmengine - INFO - Epoch(train) [38][1260/1879] lr: 2.0000e-02 eta: 2 days, 5:41:15 time: 0.9230 data_time: 0.0218 memory: 11089 grad_norm: 3.8456 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8974 loss: 1.8974 2022/08/02 07:43:47 - mmengine - INFO - Epoch(train) [38][1280/1879] lr: 2.0000e-02 eta: 2 days, 5:40:58 time: 0.9418 data_time: 0.0342 memory: 11089 grad_norm: 3.9308 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0105 loss: 2.0105 2022/08/02 07:44:05 - mmengine - INFO - Epoch(train) [38][1300/1879] lr: 2.0000e-02 eta: 2 days, 5:40:40 time: 0.9203 data_time: 0.0269 memory: 11089 grad_norm: 3.9063 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1398 loss: 2.1398 2022/08/02 07:44:24 - mmengine - INFO - Epoch(train) [38][1320/1879] lr: 2.0000e-02 eta: 2 days, 5:40:22 time: 0.9190 data_time: 0.0276 memory: 11089 grad_norm: 3.8069 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8131 loss: 1.8131 2022/08/02 07:44:42 - mmengine - INFO - Epoch(train) [38][1340/1879] lr: 2.0000e-02 eta: 2 days, 5:40:03 time: 0.9149 data_time: 0.0253 memory: 11089 grad_norm: 3.9734 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9686 loss: 1.9686 2022/08/02 07:45:00 - mmengine - INFO - Epoch(train) [38][1360/1879] lr: 2.0000e-02 eta: 2 days, 5:39:44 time: 0.8970 data_time: 0.0272 memory: 11089 grad_norm: 3.9864 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0104 loss: 2.0104 2022/08/02 07:45:18 - mmengine - INFO - Epoch(train) [38][1380/1879] lr: 2.0000e-02 eta: 2 days, 5:39:26 time: 0.9128 data_time: 0.0305 memory: 11089 grad_norm: 3.9314 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.9267 loss: 1.9267 2022/08/02 07:45:37 - mmengine - INFO - Epoch(train) [38][1400/1879] lr: 2.0000e-02 eta: 2 days, 5:39:09 time: 0.9514 data_time: 0.0317 memory: 11089 grad_norm: 3.9290 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9107 loss: 1.9107 2022/08/02 07:45:55 - mmengine - INFO - Epoch(train) [38][1420/1879] lr: 2.0000e-02 eta: 2 days, 5:38:51 time: 0.9134 data_time: 0.0236 memory: 11089 grad_norm: 3.8707 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0120 loss: 2.0120 2022/08/02 07:46:14 - mmengine - INFO - Epoch(train) [38][1440/1879] lr: 2.0000e-02 eta: 2 days, 5:38:35 time: 0.9485 data_time: 0.0320 memory: 11089 grad_norm: 3.9868 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.9199 loss: 1.9199 2022/08/02 07:46:33 - mmengine - INFO - Epoch(train) [38][1460/1879] lr: 2.0000e-02 eta: 2 days, 5:38:16 time: 0.9111 data_time: 0.0314 memory: 11089 grad_norm: 3.8548 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7810 loss: 1.7810 2022/08/02 07:46:48 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 07:46:51 - mmengine - INFO - Epoch(train) [38][1480/1879] lr: 2.0000e-02 eta: 2 days, 5:37:57 time: 0.9100 data_time: 0.0261 memory: 11089 grad_norm: 3.8404 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0019 loss: 2.0019 2022/08/02 07:47:09 - mmengine - INFO - Epoch(train) [38][1500/1879] lr: 2.0000e-02 eta: 2 days, 5:37:38 time: 0.9074 data_time: 0.0294 memory: 11089 grad_norm: 3.9195 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8442 loss: 1.8442 2022/08/02 07:47:27 - mmengine - INFO - Epoch(train) [38][1520/1879] lr: 2.0000e-02 eta: 2 days, 5:37:20 time: 0.9119 data_time: 0.0275 memory: 11089 grad_norm: 3.9522 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0056 loss: 2.0056 2022/08/02 07:47:46 - mmengine - INFO - Epoch(train) [38][1540/1879] lr: 2.0000e-02 eta: 2 days, 5:37:03 time: 0.9389 data_time: 0.0316 memory: 11089 grad_norm: 4.0117 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9276 loss: 1.9276 2022/08/02 07:48:05 - mmengine - INFO - Epoch(train) [38][1560/1879] lr: 2.0000e-02 eta: 2 days, 5:36:46 time: 0.9312 data_time: 0.0287 memory: 11089 grad_norm: 3.8529 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1182 loss: 2.1182 2022/08/02 07:48:23 - mmengine - INFO - Epoch(train) [38][1580/1879] lr: 2.0000e-02 eta: 2 days, 5:36:28 time: 0.9334 data_time: 0.0259 memory: 11089 grad_norm: 3.9065 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0892 loss: 2.0892 2022/08/02 07:48:42 - mmengine - INFO - Epoch(train) [38][1600/1879] lr: 2.0000e-02 eta: 2 days, 5:36:10 time: 0.9114 data_time: 0.0240 memory: 11089 grad_norm: 4.0375 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9789 loss: 1.9789 2022/08/02 07:49:00 - mmengine - INFO - Epoch(train) [38][1620/1879] lr: 2.0000e-02 eta: 2 days, 5:35:51 time: 0.9147 data_time: 0.0251 memory: 11089 grad_norm: 3.9398 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8532 loss: 1.8532 2022/08/02 07:49:18 - mmengine - INFO - Epoch(train) [38][1640/1879] lr: 2.0000e-02 eta: 2 days, 5:35:33 time: 0.9156 data_time: 0.0294 memory: 11089 grad_norm: 3.8061 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0023 loss: 2.0023 2022/08/02 07:49:37 - mmengine - INFO - Epoch(train) [38][1660/1879] lr: 2.0000e-02 eta: 2 days, 5:35:15 time: 0.9232 data_time: 0.0251 memory: 11089 grad_norm: 3.9131 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8022 loss: 1.8022 2022/08/02 07:49:55 - mmengine - INFO - Epoch(train) [38][1680/1879] lr: 2.0000e-02 eta: 2 days, 5:34:57 time: 0.9134 data_time: 0.0290 memory: 11089 grad_norm: 3.8316 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8515 loss: 1.8515 2022/08/02 07:50:13 - mmengine - INFO - Epoch(train) [38][1700/1879] lr: 2.0000e-02 eta: 2 days, 5:34:38 time: 0.9063 data_time: 0.0260 memory: 11089 grad_norm: 3.8327 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9683 loss: 1.9683 2022/08/02 07:50:31 - mmengine - INFO - Epoch(train) [38][1720/1879] lr: 2.0000e-02 eta: 2 days, 5:34:20 time: 0.9198 data_time: 0.0243 memory: 11089 grad_norm: 3.8782 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9682 loss: 1.9682 2022/08/02 07:50:50 - mmengine - INFO - Epoch(train) [38][1740/1879] lr: 2.0000e-02 eta: 2 days, 5:34:02 time: 0.9324 data_time: 0.0262 memory: 11089 grad_norm: 3.9678 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0580 loss: 2.0580 2022/08/02 07:51:08 - mmengine - INFO - Epoch(train) [38][1760/1879] lr: 2.0000e-02 eta: 2 days, 5:33:43 time: 0.8969 data_time: 0.0262 memory: 11089 grad_norm: 3.8743 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8877 loss: 1.8877 2022/08/02 07:51:26 - mmengine - INFO - Epoch(train) [38][1780/1879] lr: 2.0000e-02 eta: 2 days, 5:33:25 time: 0.9227 data_time: 0.0332 memory: 11089 grad_norm: 3.9185 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9630 loss: 1.9630 2022/08/02 07:51:45 - mmengine - INFO - Epoch(train) [38][1800/1879] lr: 2.0000e-02 eta: 2 days, 5:33:08 time: 0.9324 data_time: 0.0298 memory: 11089 grad_norm: 3.9227 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8284 loss: 1.8284 2022/08/02 07:52:04 - mmengine - INFO - Epoch(train) [38][1820/1879] lr: 2.0000e-02 eta: 2 days, 5:32:50 time: 0.9252 data_time: 0.0314 memory: 11089 grad_norm: 3.9867 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.1051 loss: 2.1051 2022/08/02 07:52:22 - mmengine - INFO - Epoch(train) [38][1840/1879] lr: 2.0000e-02 eta: 2 days, 5:32:32 time: 0.9281 data_time: 0.0296 memory: 11089 grad_norm: 3.9073 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9123 loss: 1.9123 2022/08/02 07:52:41 - mmengine - INFO - Epoch(train) [38][1860/1879] lr: 2.0000e-02 eta: 2 days, 5:32:14 time: 0.9167 data_time: 0.0299 memory: 11089 grad_norm: 4.0361 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1629 loss: 2.1629 2022/08/02 07:52:58 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 07:52:58 - mmengine - INFO - Epoch(train) [38][1879/1879] lr: 2.0000e-02 eta: 2 days, 5:32:14 time: 0.9240 data_time: 0.0278 memory: 11089 grad_norm: 3.9143 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.1229 loss: 2.1229 2022/08/02 07:53:18 - mmengine - INFO - Epoch(train) [39][20/1879] lr: 2.0000e-02 eta: 2 days, 5:30:53 time: 1.0184 data_time: 0.1415 memory: 11089 grad_norm: 3.8204 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8762 loss: 1.8762 2022/08/02 07:53:37 - mmengine - INFO - Epoch(train) [39][40/1879] lr: 2.0000e-02 eta: 2 days, 5:30:35 time: 0.9104 data_time: 0.0266 memory: 11089 grad_norm: 3.9267 top1_acc: 0.3125 top5_acc: 0.9375 loss_cls: 1.8914 loss: 1.8914 2022/08/02 07:53:55 - mmengine - INFO - Epoch(train) [39][60/1879] lr: 2.0000e-02 eta: 2 days, 5:30:17 time: 0.9264 data_time: 0.0314 memory: 11089 grad_norm: 3.8213 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9241 loss: 1.9241 2022/08/02 07:54:14 - mmengine - INFO - Epoch(train) [39][80/1879] lr: 2.0000e-02 eta: 2 days, 5:29:59 time: 0.9211 data_time: 0.0250 memory: 11089 grad_norm: 3.8975 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8055 loss: 1.8055 2022/08/02 07:54:32 - mmengine - INFO - Epoch(train) [39][100/1879] lr: 2.0000e-02 eta: 2 days, 5:29:42 time: 0.9362 data_time: 0.0274 memory: 11089 grad_norm: 3.8543 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8452 loss: 1.8452 2022/08/02 07:54:51 - mmengine - INFO - Epoch(train) [39][120/1879] lr: 2.0000e-02 eta: 2 days, 5:29:25 time: 0.9329 data_time: 0.0230 memory: 11089 grad_norm: 3.9548 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8610 loss: 1.8610 2022/08/02 07:55:09 - mmengine - INFO - Epoch(train) [39][140/1879] lr: 2.0000e-02 eta: 2 days, 5:29:05 time: 0.9007 data_time: 0.0273 memory: 11089 grad_norm: 4.0028 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0438 loss: 2.0438 2022/08/02 07:55:28 - mmengine - INFO - Epoch(train) [39][160/1879] lr: 2.0000e-02 eta: 2 days, 5:28:49 time: 0.9447 data_time: 0.0253 memory: 11089 grad_norm: 3.8846 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.8320 loss: 1.8320 2022/08/02 07:55:46 - mmengine - INFO - Epoch(train) [39][180/1879] lr: 2.0000e-02 eta: 2 days, 5:28:31 time: 0.9203 data_time: 0.0303 memory: 11089 grad_norm: 3.8210 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9331 loss: 1.9331 2022/08/02 07:56:05 - mmengine - INFO - Epoch(train) [39][200/1879] lr: 2.0000e-02 eta: 2 days, 5:28:14 time: 0.9456 data_time: 0.0291 memory: 11089 grad_norm: 3.9135 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9426 loss: 1.9426 2022/08/02 07:56:24 - mmengine - INFO - Epoch(train) [39][220/1879] lr: 2.0000e-02 eta: 2 days, 5:27:57 time: 0.9382 data_time: 0.0297 memory: 11089 grad_norm: 3.8896 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0023 loss: 2.0023 2022/08/02 07:56:42 - mmengine - INFO - Epoch(train) [39][240/1879] lr: 2.0000e-02 eta: 2 days, 5:27:39 time: 0.9200 data_time: 0.0324 memory: 11089 grad_norm: 3.8970 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1167 loss: 2.1167 2022/08/02 07:57:01 - mmengine - INFO - Epoch(train) [39][260/1879] lr: 2.0000e-02 eta: 2 days, 5:27:21 time: 0.9222 data_time: 0.0268 memory: 11089 grad_norm: 3.9123 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8401 loss: 1.8401 2022/08/02 07:57:19 - mmengine - INFO - Epoch(train) [39][280/1879] lr: 2.0000e-02 eta: 2 days, 5:27:02 time: 0.8997 data_time: 0.0256 memory: 11089 grad_norm: 3.9340 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9587 loss: 1.9587 2022/08/02 07:57:38 - mmengine - INFO - Epoch(train) [39][300/1879] lr: 2.0000e-02 eta: 2 days, 5:26:45 time: 0.9399 data_time: 0.0251 memory: 11089 grad_norm: 3.9967 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1427 loss: 2.1427 2022/08/02 07:57:56 - mmengine - INFO - Epoch(train) [39][320/1879] lr: 2.0000e-02 eta: 2 days, 5:26:28 time: 0.9302 data_time: 0.0280 memory: 11089 grad_norm: 3.9027 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7645 loss: 1.7645 2022/08/02 07:58:15 - mmengine - INFO - Epoch(train) [39][340/1879] lr: 2.0000e-02 eta: 2 days, 5:26:10 time: 0.9318 data_time: 0.0305 memory: 11089 grad_norm: 3.8550 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8560 loss: 1.8560 2022/08/02 07:58:34 - mmengine - INFO - Epoch(train) [39][360/1879] lr: 2.0000e-02 eta: 2 days, 5:25:53 time: 0.9305 data_time: 0.0291 memory: 11089 grad_norm: 3.9120 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0893 loss: 2.0893 2022/08/02 07:58:52 - mmengine - INFO - Epoch(train) [39][380/1879] lr: 2.0000e-02 eta: 2 days, 5:25:35 time: 0.9260 data_time: 0.0240 memory: 11089 grad_norm: 3.8107 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9158 loss: 1.9158 2022/08/02 07:59:11 - mmengine - INFO - Epoch(train) [39][400/1879] lr: 2.0000e-02 eta: 2 days, 5:25:17 time: 0.9217 data_time: 0.0270 memory: 11089 grad_norm: 3.8323 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0569 loss: 2.0569 2022/08/02 07:59:29 - mmengine - INFO - Epoch(train) [39][420/1879] lr: 2.0000e-02 eta: 2 days, 5:25:00 time: 0.9348 data_time: 0.0267 memory: 11089 grad_norm: 3.9551 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0748 loss: 2.0748 2022/08/02 07:59:48 - mmengine - INFO - Epoch(train) [39][440/1879] lr: 2.0000e-02 eta: 2 days, 5:24:42 time: 0.9281 data_time: 0.0281 memory: 11089 grad_norm: 3.8684 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9631 loss: 1.9631 2022/08/02 08:00:06 - mmengine - INFO - Epoch(train) [39][460/1879] lr: 2.0000e-02 eta: 2 days, 5:24:24 time: 0.9092 data_time: 0.0247 memory: 11089 grad_norm: 3.9081 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.1708 loss: 2.1708 2022/08/02 08:00:24 - mmengine - INFO - Epoch(train) [39][480/1879] lr: 2.0000e-02 eta: 2 days, 5:24:06 time: 0.9244 data_time: 0.0290 memory: 11089 grad_norm: 3.8687 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0320 loss: 2.0320 2022/08/02 08:00:42 - mmengine - INFO - Epoch(train) [39][500/1879] lr: 2.0000e-02 eta: 2 days, 5:23:47 time: 0.9022 data_time: 0.0269 memory: 11089 grad_norm: 3.9984 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0097 loss: 2.0097 2022/08/02 08:01:01 - mmengine - INFO - Epoch(train) [39][520/1879] lr: 2.0000e-02 eta: 2 days, 5:23:29 time: 0.9179 data_time: 0.0274 memory: 11089 grad_norm: 3.8123 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9690 loss: 1.9690 2022/08/02 08:01:20 - mmengine - INFO - Epoch(train) [39][540/1879] lr: 2.0000e-02 eta: 2 days, 5:23:12 time: 0.9364 data_time: 0.0329 memory: 11089 grad_norm: 3.9398 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1095 loss: 2.1095 2022/08/02 08:01:38 - mmengine - INFO - Epoch(train) [39][560/1879] lr: 2.0000e-02 eta: 2 days, 5:22:55 time: 0.9366 data_time: 0.0337 memory: 11089 grad_norm: 3.8144 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0595 loss: 2.0595 2022/08/02 08:01:57 - mmengine - INFO - Epoch(train) [39][580/1879] lr: 2.0000e-02 eta: 2 days, 5:22:38 time: 0.9436 data_time: 0.0303 memory: 11089 grad_norm: 3.9518 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9946 loss: 1.9946 2022/08/02 08:02:14 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 08:02:15 - mmengine - INFO - Epoch(train) [39][600/1879] lr: 2.0000e-02 eta: 2 days, 5:22:19 time: 0.9102 data_time: 0.0289 memory: 11089 grad_norm: 3.9946 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9267 loss: 1.9267 2022/08/02 08:02:34 - mmengine - INFO - Epoch(train) [39][620/1879] lr: 2.0000e-02 eta: 2 days, 5:22:01 time: 0.9164 data_time: 0.0298 memory: 11089 grad_norm: 3.9438 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9554 loss: 1.9554 2022/08/02 08:02:52 - mmengine - INFO - Epoch(train) [39][640/1879] lr: 2.0000e-02 eta: 2 days, 5:21:41 time: 0.8938 data_time: 0.0257 memory: 11089 grad_norm: 3.9738 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8943 loss: 1.8943 2022/08/02 08:03:10 - mmengine - INFO - Epoch(train) [39][660/1879] lr: 2.0000e-02 eta: 2 days, 5:21:22 time: 0.8987 data_time: 0.0272 memory: 11089 grad_norm: 3.9478 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9775 loss: 1.9775 2022/08/02 08:03:28 - mmengine - INFO - Epoch(train) [39][680/1879] lr: 2.0000e-02 eta: 2 days, 5:21:03 time: 0.8992 data_time: 0.0293 memory: 11089 grad_norm: 3.8307 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7544 loss: 1.7544 2022/08/02 08:03:46 - mmengine - INFO - Epoch(train) [39][700/1879] lr: 2.0000e-02 eta: 2 days, 5:20:46 time: 0.9383 data_time: 0.0327 memory: 11089 grad_norm: 3.8709 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9881 loss: 1.9881 2022/08/02 08:04:06 - mmengine - INFO - Epoch(train) [39][720/1879] lr: 2.0000e-02 eta: 2 days, 5:20:30 time: 0.9612 data_time: 0.0296 memory: 11089 grad_norm: 3.8977 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7532 loss: 1.7532 2022/08/02 08:04:24 - mmengine - INFO - Epoch(train) [39][740/1879] lr: 2.0000e-02 eta: 2 days, 5:20:12 time: 0.9222 data_time: 0.0221 memory: 11089 grad_norm: 3.8985 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0253 loss: 2.0253 2022/08/02 08:04:42 - mmengine - INFO - Epoch(train) [39][760/1879] lr: 2.0000e-02 eta: 2 days, 5:19:54 time: 0.9158 data_time: 0.0265 memory: 11089 grad_norm: 3.8856 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0095 loss: 2.0095 2022/08/02 08:05:01 - mmengine - INFO - Epoch(train) [39][780/1879] lr: 2.0000e-02 eta: 2 days, 5:19:36 time: 0.9222 data_time: 0.0257 memory: 11089 grad_norm: 3.8742 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9500 loss: 1.9500 2022/08/02 08:05:19 - mmengine - INFO - Epoch(train) [39][800/1879] lr: 2.0000e-02 eta: 2 days, 5:19:18 time: 0.9287 data_time: 0.0285 memory: 11089 grad_norm: 3.9441 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8505 loss: 1.8505 2022/08/02 08:05:38 - mmengine - INFO - Epoch(train) [39][820/1879] lr: 2.0000e-02 eta: 2 days, 5:18:59 time: 0.9029 data_time: 0.0254 memory: 11089 grad_norm: 3.8335 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7190 loss: 1.7190 2022/08/02 08:05:56 - mmengine - INFO - Epoch(train) [39][840/1879] lr: 2.0000e-02 eta: 2 days, 5:18:42 time: 0.9269 data_time: 0.0293 memory: 11089 grad_norm: 3.8530 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1049 loss: 2.1049 2022/08/02 08:06:14 - mmengine - INFO - Epoch(train) [39][860/1879] lr: 2.0000e-02 eta: 2 days, 5:18:23 time: 0.9038 data_time: 0.0266 memory: 11089 grad_norm: 3.9277 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7945 loss: 1.7945 2022/08/02 08:06:32 - mmengine - INFO - Epoch(train) [39][880/1879] lr: 2.0000e-02 eta: 2 days, 5:18:04 time: 0.9143 data_time: 0.0250 memory: 11089 grad_norm: 3.8517 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1229 loss: 2.1229 2022/08/02 08:06:51 - mmengine - INFO - Epoch(train) [39][900/1879] lr: 2.0000e-02 eta: 2 days, 5:17:46 time: 0.9096 data_time: 0.0252 memory: 11089 grad_norm: 3.9863 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8393 loss: 1.8393 2022/08/02 08:07:09 - mmengine - INFO - Epoch(train) [39][920/1879] lr: 2.0000e-02 eta: 2 days, 5:17:27 time: 0.9066 data_time: 0.0274 memory: 11089 grad_norm: 3.8567 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9661 loss: 1.9661 2022/08/02 08:07:27 - mmengine - INFO - Epoch(train) [39][940/1879] lr: 2.0000e-02 eta: 2 days, 5:17:08 time: 0.9042 data_time: 0.0255 memory: 11089 grad_norm: 3.8180 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9942 loss: 1.9942 2022/08/02 08:07:45 - mmengine - INFO - Epoch(train) [39][960/1879] lr: 2.0000e-02 eta: 2 days, 5:16:50 time: 0.9195 data_time: 0.0259 memory: 11089 grad_norm: 3.9911 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0347 loss: 2.0347 2022/08/02 08:08:03 - mmengine - INFO - Epoch(train) [39][980/1879] lr: 2.0000e-02 eta: 2 days, 5:16:31 time: 0.9052 data_time: 0.0215 memory: 11089 grad_norm: 3.9398 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8904 loss: 1.8904 2022/08/02 08:08:21 - mmengine - INFO - Epoch(train) [39][1000/1879] lr: 2.0000e-02 eta: 2 days, 5:16:12 time: 0.9103 data_time: 0.0321 memory: 11089 grad_norm: 3.9138 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9753 loss: 1.9753 2022/08/02 08:08:40 - mmengine - INFO - Epoch(train) [39][1020/1879] lr: 2.0000e-02 eta: 2 days, 5:15:56 time: 0.9461 data_time: 0.0334 memory: 11089 grad_norm: 4.0163 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0461 loss: 2.0461 2022/08/02 08:08:59 - mmengine - INFO - Epoch(train) [39][1040/1879] lr: 2.0000e-02 eta: 2 days, 5:15:38 time: 0.9284 data_time: 0.0307 memory: 11089 grad_norm: 3.8461 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0511 loss: 2.0511 2022/08/02 08:09:17 - mmengine - INFO - Epoch(train) [39][1060/1879] lr: 2.0000e-02 eta: 2 days, 5:15:19 time: 0.9010 data_time: 0.0252 memory: 11089 grad_norm: 3.9095 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9638 loss: 1.9638 2022/08/02 08:09:35 - mmengine - INFO - Epoch(train) [39][1080/1879] lr: 2.0000e-02 eta: 2 days, 5:15:01 time: 0.9158 data_time: 0.0297 memory: 11089 grad_norm: 3.9400 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9739 loss: 1.9739 2022/08/02 08:09:54 - mmengine - INFO - Epoch(train) [39][1100/1879] lr: 2.0000e-02 eta: 2 days, 5:14:43 time: 0.9229 data_time: 0.0295 memory: 11089 grad_norm: 4.0342 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0234 loss: 2.0234 2022/08/02 08:10:12 - mmengine - INFO - Epoch(train) [39][1120/1879] lr: 2.0000e-02 eta: 2 days, 5:14:25 time: 0.9273 data_time: 0.0284 memory: 11089 grad_norm: 3.9500 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8364 loss: 1.8364 2022/08/02 08:10:31 - mmengine - INFO - Epoch(train) [39][1140/1879] lr: 2.0000e-02 eta: 2 days, 5:14:07 time: 0.9099 data_time: 0.0342 memory: 11089 grad_norm: 3.8540 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9963 loss: 1.9963 2022/08/02 08:10:50 - mmengine - INFO - Epoch(train) [39][1160/1879] lr: 2.0000e-02 eta: 2 days, 5:13:50 time: 0.9551 data_time: 0.0339 memory: 11089 grad_norm: 3.8547 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0184 loss: 2.0184 2022/08/02 08:11:08 - mmengine - INFO - Epoch(train) [39][1180/1879] lr: 2.0000e-02 eta: 2 days, 5:13:33 time: 0.9232 data_time: 0.0248 memory: 11089 grad_norm: 3.8904 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8737 loss: 1.8737 2022/08/02 08:11:26 - mmengine - INFO - Epoch(train) [39][1200/1879] lr: 2.0000e-02 eta: 2 days, 5:13:15 time: 0.9206 data_time: 0.0240 memory: 11089 grad_norm: 3.9357 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0478 loss: 2.0478 2022/08/02 08:11:45 - mmengine - INFO - Epoch(train) [39][1220/1879] lr: 2.0000e-02 eta: 2 days, 5:12:56 time: 0.9041 data_time: 0.0233 memory: 11089 grad_norm: 3.7878 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7896 loss: 1.7896 2022/08/02 08:12:03 - mmengine - INFO - Epoch(train) [39][1240/1879] lr: 2.0000e-02 eta: 2 days, 5:12:38 time: 0.9257 data_time: 0.0259 memory: 11089 grad_norm: 3.9567 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0017 loss: 2.0017 2022/08/02 08:12:21 - mmengine - INFO - Epoch(train) [39][1260/1879] lr: 2.0000e-02 eta: 2 days, 5:12:19 time: 0.8977 data_time: 0.0182 memory: 11089 grad_norm: 3.8701 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2343 loss: 2.2343 2022/08/02 08:12:39 - mmengine - INFO - Epoch(train) [39][1280/1879] lr: 2.0000e-02 eta: 2 days, 5:11:59 time: 0.9033 data_time: 0.0238 memory: 11089 grad_norm: 4.0162 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9721 loss: 1.9721 2022/08/02 08:12:57 - mmengine - INFO - Epoch(train) [39][1300/1879] lr: 2.0000e-02 eta: 2 days, 5:11:41 time: 0.9093 data_time: 0.0250 memory: 11089 grad_norm: 3.8976 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8073 loss: 1.8073 2022/08/02 08:13:15 - mmengine - INFO - Epoch(train) [39][1320/1879] lr: 2.0000e-02 eta: 2 days, 5:11:22 time: 0.9100 data_time: 0.0276 memory: 11089 grad_norm: 3.8959 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8197 loss: 1.8197 2022/08/02 08:13:34 - mmengine - INFO - Epoch(train) [39][1340/1879] lr: 2.0000e-02 eta: 2 days, 5:11:05 time: 0.9276 data_time: 0.0247 memory: 11089 grad_norm: 3.8280 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9165 loss: 1.9165 2022/08/02 08:13:53 - mmengine - INFO - Epoch(train) [39][1360/1879] lr: 2.0000e-02 eta: 2 days, 5:10:47 time: 0.9340 data_time: 0.0327 memory: 11089 grad_norm: 3.9338 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.2018 loss: 2.2018 2022/08/02 08:14:11 - mmengine - INFO - Epoch(train) [39][1380/1879] lr: 2.0000e-02 eta: 2 days, 5:10:30 time: 0.9327 data_time: 0.0254 memory: 11089 grad_norm: 3.9526 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0373 loss: 2.0373 2022/08/02 08:14:30 - mmengine - INFO - Epoch(train) [39][1400/1879] lr: 2.0000e-02 eta: 2 days, 5:10:12 time: 0.9209 data_time: 0.0306 memory: 11089 grad_norm: 4.0206 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9644 loss: 1.9644 2022/08/02 08:14:49 - mmengine - INFO - Epoch(train) [39][1420/1879] lr: 2.0000e-02 eta: 2 days, 5:09:55 time: 0.9416 data_time: 0.0376 memory: 11089 grad_norm: 3.8779 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0061 loss: 2.0061 2022/08/02 08:15:07 - mmengine - INFO - Epoch(train) [39][1440/1879] lr: 2.0000e-02 eta: 2 days, 5:09:37 time: 0.9251 data_time: 0.0270 memory: 11089 grad_norm: 3.9398 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8121 loss: 1.8121 2022/08/02 08:15:26 - mmengine - INFO - Epoch(train) [39][1460/1879] lr: 2.0000e-02 eta: 2 days, 5:09:19 time: 0.9220 data_time: 0.0342 memory: 11089 grad_norm: 3.9599 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1644 loss: 2.1644 2022/08/02 08:15:44 - mmengine - INFO - Epoch(train) [39][1480/1879] lr: 2.0000e-02 eta: 2 days, 5:09:02 time: 0.9334 data_time: 0.0348 memory: 11089 grad_norm: 3.9397 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0514 loss: 2.0514 2022/08/02 08:16:03 - mmengine - INFO - Epoch(train) [39][1500/1879] lr: 2.0000e-02 eta: 2 days, 5:08:46 time: 0.9462 data_time: 0.0320 memory: 11089 grad_norm: 4.0866 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9927 loss: 1.9927 2022/08/02 08:16:22 - mmengine - INFO - Epoch(train) [39][1520/1879] lr: 2.0000e-02 eta: 2 days, 5:08:27 time: 0.9150 data_time: 0.0314 memory: 11089 grad_norm: 4.0118 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9756 loss: 1.9756 2022/08/02 08:16:40 - mmengine - INFO - Epoch(train) [39][1540/1879] lr: 2.0000e-02 eta: 2 days, 5:08:10 time: 0.9270 data_time: 0.0317 memory: 11089 grad_norm: 3.8227 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9952 loss: 1.9952 2022/08/02 08:16:59 - mmengine - INFO - Epoch(train) [39][1560/1879] lr: 2.0000e-02 eta: 2 days, 5:07:54 time: 0.9566 data_time: 0.0346 memory: 11089 grad_norm: 3.9057 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8213 loss: 1.8213 2022/08/02 08:17:18 - mmengine - INFO - Epoch(train) [39][1580/1879] lr: 2.0000e-02 eta: 2 days, 5:07:36 time: 0.9215 data_time: 0.0321 memory: 11089 grad_norm: 3.8784 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9472 loss: 1.9472 2022/08/02 08:17:34 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 08:17:36 - mmengine - INFO - Epoch(train) [39][1600/1879] lr: 2.0000e-02 eta: 2 days, 5:07:18 time: 0.9221 data_time: 0.0286 memory: 11089 grad_norm: 3.9257 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8779 loss: 1.8779 2022/08/02 08:17:54 - mmengine - INFO - Epoch(train) [39][1620/1879] lr: 2.0000e-02 eta: 2 days, 5:06:59 time: 0.9181 data_time: 0.0310 memory: 11089 grad_norm: 3.9658 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.9857 loss: 1.9857 2022/08/02 08:18:13 - mmengine - INFO - Epoch(train) [39][1640/1879] lr: 2.0000e-02 eta: 2 days, 5:06:42 time: 0.9361 data_time: 0.0366 memory: 11089 grad_norm: 3.8747 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0173 loss: 2.0173 2022/08/02 08:18:31 - mmengine - INFO - Epoch(train) [39][1660/1879] lr: 2.0000e-02 eta: 2 days, 5:06:24 time: 0.9132 data_time: 0.0269 memory: 11089 grad_norm: 3.9464 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0537 loss: 2.0537 2022/08/02 08:18:50 - mmengine - INFO - Epoch(train) [39][1680/1879] lr: 2.0000e-02 eta: 2 days, 5:06:07 time: 0.9462 data_time: 0.0258 memory: 11089 grad_norm: 3.9565 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0098 loss: 2.0098 2022/08/02 08:19:08 - mmengine - INFO - Epoch(train) [39][1700/1879] lr: 2.0000e-02 eta: 2 days, 5:05:48 time: 0.9047 data_time: 0.0244 memory: 11089 grad_norm: 3.9199 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1173 loss: 2.1173 2022/08/02 08:19:27 - mmengine - INFO - Epoch(train) [39][1720/1879] lr: 2.0000e-02 eta: 2 days, 5:05:30 time: 0.9140 data_time: 0.0267 memory: 11089 grad_norm: 3.8371 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9097 loss: 1.9097 2022/08/02 08:19:45 - mmengine - INFO - Epoch(train) [39][1740/1879] lr: 2.0000e-02 eta: 2 days, 5:05:12 time: 0.9290 data_time: 0.0338 memory: 11089 grad_norm: 3.8789 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9013 loss: 1.9013 2022/08/02 08:20:03 - mmengine - INFO - Epoch(train) [39][1760/1879] lr: 2.0000e-02 eta: 2 days, 5:04:53 time: 0.8899 data_time: 0.0224 memory: 11089 grad_norm: 3.9631 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0006 loss: 2.0006 2022/08/02 08:20:22 - mmengine - INFO - Epoch(train) [39][1780/1879] lr: 2.0000e-02 eta: 2 days, 5:04:35 time: 0.9231 data_time: 0.0255 memory: 11089 grad_norm: 3.9814 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9833 loss: 1.9833 2022/08/02 08:20:40 - mmengine - INFO - Epoch(train) [39][1800/1879] lr: 2.0000e-02 eta: 2 days, 5:04:16 time: 0.9118 data_time: 0.0267 memory: 11089 grad_norm: 3.9141 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2109 loss: 2.2109 2022/08/02 08:20:58 - mmengine - INFO - Epoch(train) [39][1820/1879] lr: 2.0000e-02 eta: 2 days, 5:03:57 time: 0.9047 data_time: 0.0299 memory: 11089 grad_norm: 3.8650 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8339 loss: 1.8339 2022/08/02 08:21:17 - mmengine - INFO - Epoch(train) [39][1840/1879] lr: 2.0000e-02 eta: 2 days, 5:03:41 time: 0.9451 data_time: 0.0246 memory: 11089 grad_norm: 3.9199 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9178 loss: 1.9178 2022/08/02 08:21:35 - mmengine - INFO - Epoch(train) [39][1860/1879] lr: 2.0000e-02 eta: 2 days, 5:03:23 time: 0.9279 data_time: 0.0353 memory: 11089 grad_norm: 3.8979 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8293 loss: 1.8293 2022/08/02 08:21:53 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 08:21:53 - mmengine - INFO - Epoch(train) [39][1879/1879] lr: 2.0000e-02 eta: 2 days, 5:03:23 time: 0.9045 data_time: 0.0320 memory: 11089 grad_norm: 4.0821 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.9135 loss: 1.9135 2022/08/02 08:22:12 - mmengine - INFO - Epoch(train) [40][20/1879] lr: 2.0000e-02 eta: 2 days, 5:02:02 time: 0.9873 data_time: 0.1204 memory: 11089 grad_norm: 3.7945 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7665 loss: 1.7665 2022/08/02 08:22:31 - mmengine - INFO - Epoch(train) [40][40/1879] lr: 2.0000e-02 eta: 2 days, 5:01:44 time: 0.9164 data_time: 0.0251 memory: 11089 grad_norm: 3.8536 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7251 loss: 1.7251 2022/08/02 08:22:49 - mmengine - INFO - Epoch(train) [40][60/1879] lr: 2.0000e-02 eta: 2 days, 5:01:26 time: 0.9332 data_time: 0.0258 memory: 11089 grad_norm: 3.9274 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9521 loss: 1.9521 2022/08/02 08:23:08 - mmengine - INFO - Epoch(train) [40][80/1879] lr: 2.0000e-02 eta: 2 days, 5:01:09 time: 0.9290 data_time: 0.0228 memory: 11089 grad_norm: 3.8462 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9167 loss: 1.9167 2022/08/02 08:23:27 - mmengine - INFO - Epoch(train) [40][100/1879] lr: 2.0000e-02 eta: 2 days, 5:00:51 time: 0.9308 data_time: 0.0336 memory: 11089 grad_norm: 3.9120 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0083 loss: 2.0083 2022/08/02 08:23:45 - mmengine - INFO - Epoch(train) [40][120/1879] lr: 2.0000e-02 eta: 2 days, 5:00:34 time: 0.9247 data_time: 0.0280 memory: 11089 grad_norm: 3.8188 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7982 loss: 1.7982 2022/08/02 08:24:04 - mmengine - INFO - Epoch(train) [40][140/1879] lr: 2.0000e-02 eta: 2 days, 5:00:16 time: 0.9217 data_time: 0.0319 memory: 11089 grad_norm: 3.8196 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8182 loss: 1.8182 2022/08/02 08:24:22 - mmengine - INFO - Epoch(train) [40][160/1879] lr: 2.0000e-02 eta: 2 days, 4:59:57 time: 0.9158 data_time: 0.0251 memory: 11089 grad_norm: 3.9111 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9204 loss: 1.9204 2022/08/02 08:24:40 - mmengine - INFO - Epoch(train) [40][180/1879] lr: 2.0000e-02 eta: 2 days, 4:59:40 time: 0.9251 data_time: 0.0296 memory: 11089 grad_norm: 3.9242 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8502 loss: 1.8502 2022/08/02 08:24:59 - mmengine - INFO - Epoch(train) [40][200/1879] lr: 2.0000e-02 eta: 2 days, 4:59:22 time: 0.9280 data_time: 0.0267 memory: 11089 grad_norm: 3.9576 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0157 loss: 2.0157 2022/08/02 08:25:18 - mmengine - INFO - Epoch(train) [40][220/1879] lr: 2.0000e-02 eta: 2 days, 4:59:05 time: 0.9376 data_time: 0.0303 memory: 11089 grad_norm: 4.0064 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7993 loss: 1.7993 2022/08/02 08:25:36 - mmengine - INFO - Epoch(train) [40][240/1879] lr: 2.0000e-02 eta: 2 days, 4:58:45 time: 0.8966 data_time: 0.0213 memory: 11089 grad_norm: 3.8997 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8828 loss: 1.8828 2022/08/02 08:25:54 - mmengine - INFO - Epoch(train) [40][260/1879] lr: 2.0000e-02 eta: 2 days, 4:58:27 time: 0.9061 data_time: 0.0328 memory: 11089 grad_norm: 3.8809 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9293 loss: 1.9293 2022/08/02 08:26:12 - mmengine - INFO - Epoch(train) [40][280/1879] lr: 2.0000e-02 eta: 2 days, 4:58:09 time: 0.9234 data_time: 0.0274 memory: 11089 grad_norm: 3.8786 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8155 loss: 1.8155 2022/08/02 08:26:30 - mmengine - INFO - Epoch(train) [40][300/1879] lr: 2.0000e-02 eta: 2 days, 4:57:49 time: 0.8923 data_time: 0.0202 memory: 11089 grad_norm: 4.0136 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8258 loss: 1.8258 2022/08/02 08:26:48 - mmengine - INFO - Epoch(train) [40][320/1879] lr: 2.0000e-02 eta: 2 days, 4:57:30 time: 0.9004 data_time: 0.0242 memory: 11089 grad_norm: 3.9202 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1583 loss: 2.1583 2022/08/02 08:27:06 - mmengine - INFO - Epoch(train) [40][340/1879] lr: 2.0000e-02 eta: 2 days, 4:57:12 time: 0.9186 data_time: 0.0350 memory: 11089 grad_norm: 4.0504 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1908 loss: 2.1908 2022/08/02 08:27:25 - mmengine - INFO - Epoch(train) [40][360/1879] lr: 2.0000e-02 eta: 2 days, 4:56:54 time: 0.9245 data_time: 0.0337 memory: 11089 grad_norm: 3.9558 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9301 loss: 1.9301 2022/08/02 08:27:44 - mmengine - INFO - Epoch(train) [40][380/1879] lr: 2.0000e-02 eta: 2 days, 4:56:38 time: 0.9506 data_time: 0.0314 memory: 11089 grad_norm: 3.9749 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0452 loss: 2.0452 2022/08/02 08:28:02 - mmengine - INFO - Epoch(train) [40][400/1879] lr: 2.0000e-02 eta: 2 days, 4:56:20 time: 0.9204 data_time: 0.0271 memory: 11089 grad_norm: 4.0122 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8768 loss: 1.8768 2022/08/02 08:28:21 - mmengine - INFO - Epoch(train) [40][420/1879] lr: 2.0000e-02 eta: 2 days, 4:56:02 time: 0.9241 data_time: 0.0215 memory: 11089 grad_norm: 4.0542 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9595 loss: 1.9595 2022/08/02 08:28:39 - mmengine - INFO - Epoch(train) [40][440/1879] lr: 2.0000e-02 eta: 2 days, 4:55:44 time: 0.9232 data_time: 0.0274 memory: 11089 grad_norm: 3.9606 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9267 loss: 1.9267 2022/08/02 08:28:58 - mmengine - INFO - Epoch(train) [40][460/1879] lr: 2.0000e-02 eta: 2 days, 4:55:26 time: 0.9295 data_time: 0.0321 memory: 11089 grad_norm: 3.9746 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1692 loss: 2.1692 2022/08/02 08:29:16 - mmengine - INFO - Epoch(train) [40][480/1879] lr: 2.0000e-02 eta: 2 days, 4:55:08 time: 0.9099 data_time: 0.0310 memory: 11089 grad_norm: 3.9881 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0823 loss: 2.0823 2022/08/02 08:29:35 - mmengine - INFO - Epoch(train) [40][500/1879] lr: 2.0000e-02 eta: 2 days, 4:54:51 time: 0.9370 data_time: 0.0270 memory: 11089 grad_norm: 3.8825 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8368 loss: 1.8368 2022/08/02 08:29:53 - mmengine - INFO - Epoch(train) [40][520/1879] lr: 2.0000e-02 eta: 2 days, 4:54:33 time: 0.9176 data_time: 0.0288 memory: 11089 grad_norm: 3.8364 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8646 loss: 1.8646 2022/08/02 08:30:11 - mmengine - INFO - Epoch(train) [40][540/1879] lr: 2.0000e-02 eta: 2 days, 4:54:14 time: 0.9072 data_time: 0.0222 memory: 11089 grad_norm: 4.0064 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1236 loss: 2.1236 2022/08/02 08:30:30 - mmengine - INFO - Epoch(train) [40][560/1879] lr: 2.0000e-02 eta: 2 days, 4:53:55 time: 0.9138 data_time: 0.0298 memory: 11089 grad_norm: 3.9796 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9202 loss: 1.9202 2022/08/02 08:30:48 - mmengine - INFO - Epoch(train) [40][580/1879] lr: 2.0000e-02 eta: 2 days, 4:53:37 time: 0.9206 data_time: 0.0257 memory: 11089 grad_norm: 4.0272 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9211 loss: 1.9211 2022/08/02 08:31:06 - mmengine - INFO - Epoch(train) [40][600/1879] lr: 2.0000e-02 eta: 2 days, 4:53:19 time: 0.9167 data_time: 0.0259 memory: 11089 grad_norm: 3.9663 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0173 loss: 2.0173 2022/08/02 08:31:25 - mmengine - INFO - Epoch(train) [40][620/1879] lr: 2.0000e-02 eta: 2 days, 4:53:01 time: 0.9112 data_time: 0.0261 memory: 11089 grad_norm: 3.9621 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1977 loss: 2.1977 2022/08/02 08:31:43 - mmengine - INFO - Epoch(train) [40][640/1879] lr: 2.0000e-02 eta: 2 days, 4:52:42 time: 0.9109 data_time: 0.0287 memory: 11089 grad_norm: 3.8693 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7443 loss: 1.7443 2022/08/02 08:32:01 - mmengine - INFO - Epoch(train) [40][660/1879] lr: 2.0000e-02 eta: 2 days, 4:52:24 time: 0.9274 data_time: 0.0283 memory: 11089 grad_norm: 3.9581 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0983 loss: 2.0983 2022/08/02 08:32:20 - mmengine - INFO - Epoch(train) [40][680/1879] lr: 2.0000e-02 eta: 2 days, 4:52:06 time: 0.9229 data_time: 0.0268 memory: 11089 grad_norm: 3.9277 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8807 loss: 1.8807 2022/08/02 08:32:38 - mmengine - INFO - Epoch(train) [40][700/1879] lr: 2.0000e-02 eta: 2 days, 4:51:47 time: 0.8956 data_time: 0.0219 memory: 11089 grad_norm: 3.8621 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9786 loss: 1.9786 2022/08/02 08:32:55 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 08:32:56 - mmengine - INFO - Epoch(train) [40][720/1879] lr: 2.0000e-02 eta: 2 days, 4:51:30 time: 0.9305 data_time: 0.0287 memory: 11089 grad_norm: 3.9954 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9564 loss: 1.9564 2022/08/02 08:33:15 - mmengine - INFO - Epoch(train) [40][740/1879] lr: 2.0000e-02 eta: 2 days, 4:51:13 time: 0.9468 data_time: 0.0298 memory: 11089 grad_norm: 3.8794 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7534 loss: 1.7534 2022/08/02 08:33:34 - mmengine - INFO - Epoch(train) [40][760/1879] lr: 2.0000e-02 eta: 2 days, 4:50:54 time: 0.9099 data_time: 0.0241 memory: 11089 grad_norm: 3.8619 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9269 loss: 1.9269 2022/08/02 08:33:52 - mmengine - INFO - Epoch(train) [40][780/1879] lr: 2.0000e-02 eta: 2 days, 4:50:37 time: 0.9257 data_time: 0.0303 memory: 11089 grad_norm: 3.9910 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.9030 loss: 1.9030 2022/08/02 08:34:10 - mmengine - INFO - Epoch(train) [40][800/1879] lr: 2.0000e-02 eta: 2 days, 4:50:18 time: 0.9092 data_time: 0.0304 memory: 11089 grad_norm: 3.9290 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9546 loss: 1.9546 2022/08/02 08:34:29 - mmengine - INFO - Epoch(train) [40][820/1879] lr: 2.0000e-02 eta: 2 days, 4:50:00 time: 0.9284 data_time: 0.0386 memory: 11089 grad_norm: 3.9186 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9943 loss: 1.9943 2022/08/02 08:34:47 - mmengine - INFO - Epoch(train) [40][840/1879] lr: 2.0000e-02 eta: 2 days, 4:49:42 time: 0.9197 data_time: 0.0274 memory: 11089 grad_norm: 3.8790 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9397 loss: 1.9397 2022/08/02 08:35:06 - mmengine - INFO - Epoch(train) [40][860/1879] lr: 2.0000e-02 eta: 2 days, 4:49:25 time: 0.9286 data_time: 0.0275 memory: 11089 grad_norm: 3.8640 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.9256 loss: 1.9256 2022/08/02 08:35:24 - mmengine - INFO - Epoch(train) [40][880/1879] lr: 2.0000e-02 eta: 2 days, 4:49:06 time: 0.9093 data_time: 0.0240 memory: 11089 grad_norm: 3.9022 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8088 loss: 1.8088 2022/08/02 08:35:42 - mmengine - INFO - Epoch(train) [40][900/1879] lr: 2.0000e-02 eta: 2 days, 4:48:47 time: 0.9090 data_time: 0.0250 memory: 11089 grad_norm: 3.8460 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9984 loss: 1.9984 2022/08/02 08:36:01 - mmengine - INFO - Epoch(train) [40][920/1879] lr: 2.0000e-02 eta: 2 days, 4:48:30 time: 0.9381 data_time: 0.0287 memory: 11089 grad_norm: 3.7822 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0742 loss: 2.0742 2022/08/02 08:36:19 - mmengine - INFO - Epoch(train) [40][940/1879] lr: 2.0000e-02 eta: 2 days, 4:48:13 time: 0.9286 data_time: 0.0321 memory: 11089 grad_norm: 4.0942 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1183 loss: 2.1183 2022/08/02 08:36:37 - mmengine - INFO - Epoch(train) [40][960/1879] lr: 2.0000e-02 eta: 2 days, 4:47:54 time: 0.9010 data_time: 0.0274 memory: 11089 grad_norm: 3.9338 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1390 loss: 2.1390 2022/08/02 08:36:56 - mmengine - INFO - Epoch(train) [40][980/1879] lr: 2.0000e-02 eta: 2 days, 4:47:36 time: 0.9281 data_time: 0.0253 memory: 11089 grad_norm: 3.9718 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0763 loss: 2.0763 2022/08/02 08:37:14 - mmengine - INFO - Epoch(train) [40][1000/1879] lr: 2.0000e-02 eta: 2 days, 4:47:17 time: 0.9117 data_time: 0.0322 memory: 11089 grad_norm: 3.9803 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7980 loss: 1.7980 2022/08/02 08:37:33 - mmengine - INFO - Epoch(train) [40][1020/1879] lr: 2.0000e-02 eta: 2 days, 4:47:00 time: 0.9278 data_time: 0.0313 memory: 11089 grad_norm: 4.0101 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 1.8818 loss: 1.8818 2022/08/02 08:37:51 - mmengine - INFO - Epoch(train) [40][1040/1879] lr: 2.0000e-02 eta: 2 days, 4:46:42 time: 0.9224 data_time: 0.0302 memory: 11089 grad_norm: 3.9608 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0654 loss: 2.0654 2022/08/02 08:38:10 - mmengine - INFO - Epoch(train) [40][1060/1879] lr: 2.0000e-02 eta: 2 days, 4:46:25 time: 0.9475 data_time: 0.0356 memory: 11089 grad_norm: 3.8288 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9661 loss: 1.9661 2022/08/02 08:38:29 - mmengine - INFO - Epoch(train) [40][1080/1879] lr: 2.0000e-02 eta: 2 days, 4:46:07 time: 0.9162 data_time: 0.0295 memory: 11089 grad_norm: 3.9912 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1022 loss: 2.1022 2022/08/02 08:38:47 - mmengine - INFO - Epoch(train) [40][1100/1879] lr: 2.0000e-02 eta: 2 days, 4:45:50 time: 0.9359 data_time: 0.0269 memory: 11089 grad_norm: 3.8377 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0689 loss: 2.0689 2022/08/02 08:39:06 - mmengine - INFO - Epoch(train) [40][1120/1879] lr: 2.0000e-02 eta: 2 days, 4:45:34 time: 0.9508 data_time: 0.0331 memory: 11089 grad_norm: 3.8653 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8183 loss: 1.8183 2022/08/02 08:39:25 - mmengine - INFO - Epoch(train) [40][1140/1879] lr: 2.0000e-02 eta: 2 days, 4:45:16 time: 0.9226 data_time: 0.0292 memory: 11089 grad_norm: 3.7520 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9317 loss: 1.9317 2022/08/02 08:39:43 - mmengine - INFO - Epoch(train) [40][1160/1879] lr: 2.0000e-02 eta: 2 days, 4:44:57 time: 0.9024 data_time: 0.0235 memory: 11089 grad_norm: 3.9541 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9180 loss: 1.9180 2022/08/02 08:40:01 - mmengine - INFO - Epoch(train) [40][1180/1879] lr: 2.0000e-02 eta: 2 days, 4:44:39 time: 0.9188 data_time: 0.0259 memory: 11089 grad_norm: 4.0144 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1016 loss: 2.1016 2022/08/02 08:40:20 - mmengine - INFO - Epoch(train) [40][1200/1879] lr: 2.0000e-02 eta: 2 days, 4:44:21 time: 0.9311 data_time: 0.0339 memory: 11089 grad_norm: 3.8114 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0129 loss: 2.0129 2022/08/02 08:40:39 - mmengine - INFO - Epoch(train) [40][1220/1879] lr: 2.0000e-02 eta: 2 days, 4:44:04 time: 0.9413 data_time: 0.0335 memory: 11089 grad_norm: 3.9105 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7598 loss: 1.7598 2022/08/02 08:40:57 - mmengine - INFO - Epoch(train) [40][1240/1879] lr: 2.0000e-02 eta: 2 days, 4:43:47 time: 0.9313 data_time: 0.0353 memory: 11089 grad_norm: 3.9709 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0506 loss: 2.0506 2022/08/02 08:41:16 - mmengine - INFO - Epoch(train) [40][1260/1879] lr: 2.0000e-02 eta: 2 days, 4:43:28 time: 0.9127 data_time: 0.0280 memory: 11089 grad_norm: 3.9423 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8056 loss: 1.8056 2022/08/02 08:41:34 - mmengine - INFO - Epoch(train) [40][1280/1879] lr: 2.0000e-02 eta: 2 days, 4:43:09 time: 0.9072 data_time: 0.0290 memory: 11089 grad_norm: 3.8843 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8886 loss: 1.8886 2022/08/02 08:41:52 - mmengine - INFO - Epoch(train) [40][1300/1879] lr: 2.0000e-02 eta: 2 days, 4:42:51 time: 0.9059 data_time: 0.0268 memory: 11089 grad_norm: 3.8735 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7903 loss: 1.7903 2022/08/02 08:42:10 - mmengine - INFO - Epoch(train) [40][1320/1879] lr: 2.0000e-02 eta: 2 days, 4:42:33 time: 0.9295 data_time: 0.0296 memory: 11089 grad_norm: 4.0038 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9797 loss: 1.9797 2022/08/02 08:42:29 - mmengine - INFO - Epoch(train) [40][1340/1879] lr: 2.0000e-02 eta: 2 days, 4:42:14 time: 0.9066 data_time: 0.0310 memory: 11089 grad_norm: 4.0170 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0104 loss: 2.0104 2022/08/02 08:42:47 - mmengine - INFO - Epoch(train) [40][1360/1879] lr: 2.0000e-02 eta: 2 days, 4:41:56 time: 0.9234 data_time: 0.0284 memory: 11089 grad_norm: 3.9661 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2402 loss: 2.2402 2022/08/02 08:43:06 - mmengine - INFO - Epoch(train) [40][1380/1879] lr: 2.0000e-02 eta: 2 days, 4:41:39 time: 0.9258 data_time: 0.0283 memory: 11089 grad_norm: 3.9647 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9526 loss: 1.9526 2022/08/02 08:43:24 - mmengine - INFO - Epoch(train) [40][1400/1879] lr: 2.0000e-02 eta: 2 days, 4:41:20 time: 0.9071 data_time: 0.0320 memory: 11089 grad_norm: 3.8871 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7161 loss: 1.7161 2022/08/02 08:43:42 - mmengine - INFO - Epoch(train) [40][1420/1879] lr: 2.0000e-02 eta: 2 days, 4:41:03 time: 0.9420 data_time: 0.0207 memory: 11089 grad_norm: 3.9154 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7776 loss: 1.7776 2022/08/02 08:44:01 - mmengine - INFO - Epoch(train) [40][1440/1879] lr: 2.0000e-02 eta: 2 days, 4:40:45 time: 0.9229 data_time: 0.0301 memory: 11089 grad_norm: 4.0526 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1001 loss: 2.1001 2022/08/02 08:44:19 - mmengine - INFO - Epoch(train) [40][1460/1879] lr: 2.0000e-02 eta: 2 days, 4:40:27 time: 0.9270 data_time: 0.0287 memory: 11089 grad_norm: 3.9997 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0736 loss: 2.0736 2022/08/02 08:44:38 - mmengine - INFO - Epoch(train) [40][1480/1879] lr: 2.0000e-02 eta: 2 days, 4:40:11 time: 0.9415 data_time: 0.0297 memory: 11089 grad_norm: 3.8576 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8180 loss: 1.8180 2022/08/02 08:44:57 - mmengine - INFO - Epoch(train) [40][1500/1879] lr: 2.0000e-02 eta: 2 days, 4:39:54 time: 0.9532 data_time: 0.0365 memory: 11089 grad_norm: 3.8292 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0063 loss: 2.0063 2022/08/02 08:45:16 - mmengine - INFO - Epoch(train) [40][1520/1879] lr: 2.0000e-02 eta: 2 days, 4:39:36 time: 0.9141 data_time: 0.0316 memory: 11089 grad_norm: 3.9984 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0405 loss: 2.0405 2022/08/02 08:45:34 - mmengine - INFO - Epoch(train) [40][1540/1879] lr: 2.0000e-02 eta: 2 days, 4:39:17 time: 0.9030 data_time: 0.0224 memory: 11089 grad_norm: 3.9903 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1451 loss: 2.1451 2022/08/02 08:45:52 - mmengine - INFO - Epoch(train) [40][1560/1879] lr: 2.0000e-02 eta: 2 days, 4:38:59 time: 0.9170 data_time: 0.0296 memory: 11089 grad_norm: 3.9126 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.9558 loss: 1.9558 2022/08/02 08:46:11 - mmengine - INFO - Epoch(train) [40][1580/1879] lr: 2.0000e-02 eta: 2 days, 4:38:41 time: 0.9301 data_time: 0.0350 memory: 11089 grad_norm: 3.8280 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7235 loss: 1.7235 2022/08/02 08:46:29 - mmengine - INFO - Epoch(train) [40][1600/1879] lr: 2.0000e-02 eta: 2 days, 4:38:23 time: 0.9211 data_time: 0.0315 memory: 11089 grad_norm: 3.9448 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9213 loss: 1.9213 2022/08/02 08:46:48 - mmengine - INFO - Epoch(train) [40][1620/1879] lr: 2.0000e-02 eta: 2 days, 4:38:05 time: 0.9262 data_time: 0.0343 memory: 11089 grad_norm: 3.9888 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9083 loss: 1.9083 2022/08/02 08:47:06 - mmengine - INFO - Epoch(train) [40][1640/1879] lr: 2.0000e-02 eta: 2 days, 4:37:46 time: 0.9037 data_time: 0.0315 memory: 11089 grad_norm: 3.9183 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0296 loss: 2.0296 2022/08/02 08:47:24 - mmengine - INFO - Epoch(train) [40][1660/1879] lr: 2.0000e-02 eta: 2 days, 4:37:28 time: 0.9201 data_time: 0.0269 memory: 11089 grad_norm: 3.8836 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9194 loss: 1.9194 2022/08/02 08:47:43 - mmengine - INFO - Epoch(train) [40][1680/1879] lr: 2.0000e-02 eta: 2 days, 4:37:12 time: 0.9435 data_time: 0.0336 memory: 11089 grad_norm: 3.9952 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1118 loss: 2.1118 2022/08/02 08:48:02 - mmengine - INFO - Epoch(train) [40][1700/1879] lr: 2.0000e-02 eta: 2 days, 4:36:54 time: 0.9351 data_time: 0.0295 memory: 11089 grad_norm: 3.8938 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0373 loss: 2.0373 2022/08/02 08:48:19 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 08:48:20 - mmengine - INFO - Epoch(train) [40][1720/1879] lr: 2.0000e-02 eta: 2 days, 4:36:35 time: 0.8967 data_time: 0.0210 memory: 11089 grad_norm: 3.9486 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9840 loss: 1.9840 2022/08/02 08:48:38 - mmengine - INFO - Epoch(train) [40][1740/1879] lr: 2.0000e-02 eta: 2 days, 4:36:17 time: 0.9116 data_time: 0.0263 memory: 11089 grad_norm: 3.9716 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1314 loss: 2.1314 2022/08/02 08:48:56 - mmengine - INFO - Epoch(train) [40][1760/1879] lr: 2.0000e-02 eta: 2 days, 4:35:59 time: 0.9208 data_time: 0.0261 memory: 11089 grad_norm: 4.0134 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9905 loss: 1.9905 2022/08/02 08:49:14 - mmengine - INFO - Epoch(train) [40][1780/1879] lr: 2.0000e-02 eta: 2 days, 4:35:39 time: 0.8955 data_time: 0.0232 memory: 11089 grad_norm: 3.8531 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8473 loss: 1.8473 2022/08/02 08:49:33 - mmengine - INFO - Epoch(train) [40][1800/1879] lr: 2.0000e-02 eta: 2 days, 4:35:21 time: 0.9197 data_time: 0.0252 memory: 11089 grad_norm: 3.9555 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7843 loss: 1.7843 2022/08/02 08:49:51 - mmengine - INFO - Epoch(train) [40][1820/1879] lr: 2.0000e-02 eta: 2 days, 4:35:03 time: 0.9134 data_time: 0.0306 memory: 11089 grad_norm: 3.8879 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0971 loss: 2.0971 2022/08/02 08:50:09 - mmengine - INFO - Epoch(train) [40][1840/1879] lr: 2.0000e-02 eta: 2 days, 4:34:44 time: 0.9085 data_time: 0.0295 memory: 11089 grad_norm: 3.9124 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0258 loss: 2.0258 2022/08/02 08:50:28 - mmengine - INFO - Epoch(train) [40][1860/1879] lr: 2.0000e-02 eta: 2 days, 4:34:28 time: 0.9550 data_time: 0.0295 memory: 11089 grad_norm: 3.9662 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9183 loss: 1.9183 2022/08/02 08:50:46 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 08:50:46 - mmengine - INFO - Epoch(train) [40][1879/1879] lr: 2.0000e-02 eta: 2 days, 4:34:28 time: 0.9224 data_time: 0.0314 memory: 11089 grad_norm: 4.0098 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 2.0691 loss: 2.0691 2022/08/02 08:50:46 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/08/02 08:50:56 - mmengine - INFO - Epoch(val) [40][20/155] eta: 0:00:56 time: 0.4151 data_time: 0.1143 memory: 1950 2022/08/02 08:51:03 - mmengine - INFO - Epoch(val) [40][40/155] eta: 0:00:37 time: 0.3280 data_time: 0.0120 memory: 1950 2022/08/02 08:51:10 - mmengine - INFO - Epoch(val) [40][60/155] eta: 0:00:31 time: 0.3316 data_time: 0.0119 memory: 1950 2022/08/02 08:51:16 - mmengine - INFO - Epoch(val) [40][80/155] eta: 0:00:24 time: 0.3241 data_time: 0.0133 memory: 1950 2022/08/02 08:51:22 - mmengine - INFO - Epoch(val) [40][100/155] eta: 0:00:17 time: 0.3216 data_time: 0.0121 memory: 1950 2022/08/02 08:51:30 - mmengine - INFO - Epoch(val) [40][120/155] eta: 0:00:12 time: 0.3618 data_time: 0.0112 memory: 1950 2022/08/02 08:51:37 - mmengine - INFO - Epoch(val) [40][140/155] eta: 0:00:05 time: 0.3814 data_time: 0.0129 memory: 1950 2022/08/02 08:51:45 - mmengine - INFO - Epoch(val) [40][155/155] acc/top1: 0.6129 acc/top5: 0.8361 acc/mean1: 0.6128 2022/08/02 08:51:45 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb/best_acc/top1_epoch_36.pth is removed 2022/08/02 08:51:46 - mmengine - INFO - The best checkpoint with 0.6129 acc/top1 at 41 epoch is saved to best_acc/top1_epoch_41.pth. 2022/08/02 08:52:06 - mmengine - INFO - Epoch(train) [41][20/1879] lr: 2.0000e-02 eta: 2 days, 4:33:09 time: 0.9948 data_time: 0.1135 memory: 11089 grad_norm: 3.9362 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9381 loss: 1.9381 2022/08/02 08:52:25 - mmengine - INFO - Epoch(train) [41][40/1879] lr: 2.0000e-02 eta: 2 days, 4:32:50 time: 0.9134 data_time: 0.0330 memory: 11089 grad_norm: 3.8698 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8620 loss: 1.8620 2022/08/02 08:52:43 - mmengine - INFO - Epoch(train) [41][60/1879] lr: 2.0000e-02 eta: 2 days, 4:32:33 time: 0.9323 data_time: 0.0316 memory: 11089 grad_norm: 3.7838 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7730 loss: 1.7730 2022/08/02 08:53:02 - mmengine - INFO - Epoch(train) [41][80/1879] lr: 2.0000e-02 eta: 2 days, 4:32:16 time: 0.9410 data_time: 0.0424 memory: 11089 grad_norm: 3.9154 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7457 loss: 1.7457 2022/08/02 08:53:21 - mmengine - INFO - Epoch(train) [41][100/1879] lr: 2.0000e-02 eta: 2 days, 4:31:59 time: 0.9409 data_time: 0.0336 memory: 11089 grad_norm: 4.0000 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8454 loss: 1.8454 2022/08/02 08:53:39 - mmengine - INFO - Epoch(train) [41][120/1879] lr: 2.0000e-02 eta: 2 days, 4:31:41 time: 0.9178 data_time: 0.0232 memory: 11089 grad_norm: 3.8596 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0734 loss: 2.0734 2022/08/02 08:53:58 - mmengine - INFO - Epoch(train) [41][140/1879] lr: 2.0000e-02 eta: 2 days, 4:31:23 time: 0.9172 data_time: 0.0342 memory: 11089 grad_norm: 3.9095 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7959 loss: 1.7959 2022/08/02 08:54:16 - mmengine - INFO - Epoch(train) [41][160/1879] lr: 2.0000e-02 eta: 2 days, 4:31:04 time: 0.9118 data_time: 0.0302 memory: 11089 grad_norm: 3.9470 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8458 loss: 1.8458 2022/08/02 08:54:34 - mmengine - INFO - Epoch(train) [41][180/1879] lr: 2.0000e-02 eta: 2 days, 4:30:45 time: 0.9109 data_time: 0.0261 memory: 11089 grad_norm: 4.0068 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0058 loss: 2.0058 2022/08/02 08:54:52 - mmengine - INFO - Epoch(train) [41][200/1879] lr: 2.0000e-02 eta: 2 days, 4:30:27 time: 0.9075 data_time: 0.0282 memory: 11089 grad_norm: 3.9298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8193 loss: 1.8193 2022/08/02 08:55:11 - mmengine - INFO - Epoch(train) [41][220/1879] lr: 2.0000e-02 eta: 2 days, 4:30:10 time: 0.9530 data_time: 0.0277 memory: 11089 grad_norm: 3.9128 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9222 loss: 1.9222 2022/08/02 08:55:30 - mmengine - INFO - Epoch(train) [41][240/1879] lr: 2.0000e-02 eta: 2 days, 4:29:53 time: 0.9252 data_time: 0.0330 memory: 11089 grad_norm: 4.0348 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1522 loss: 2.1522 2022/08/02 08:55:48 - mmengine - INFO - Epoch(train) [41][260/1879] lr: 2.0000e-02 eta: 2 days, 4:29:35 time: 0.9199 data_time: 0.0285 memory: 11089 grad_norm: 3.8994 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9262 loss: 1.9262 2022/08/02 08:56:06 - mmengine - INFO - Epoch(train) [41][280/1879] lr: 2.0000e-02 eta: 2 days, 4:29:15 time: 0.8979 data_time: 0.0242 memory: 11089 grad_norm: 3.8719 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7638 loss: 1.7638 2022/08/02 08:56:24 - mmengine - INFO - Epoch(train) [41][300/1879] lr: 2.0000e-02 eta: 2 days, 4:28:57 time: 0.9063 data_time: 0.0338 memory: 11089 grad_norm: 3.8361 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9366 loss: 1.9366 2022/08/02 08:56:43 - mmengine - INFO - Epoch(train) [41][320/1879] lr: 2.0000e-02 eta: 2 days, 4:28:39 time: 0.9211 data_time: 0.0306 memory: 11089 grad_norm: 4.0518 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9639 loss: 1.9639 2022/08/02 08:57:01 - mmengine - INFO - Epoch(train) [41][340/1879] lr: 2.0000e-02 eta: 2 days, 4:28:21 time: 0.9240 data_time: 0.0281 memory: 11089 grad_norm: 3.8630 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7625 loss: 1.7625 2022/08/02 08:57:20 - mmengine - INFO - Epoch(train) [41][360/1879] lr: 2.0000e-02 eta: 2 days, 4:28:04 time: 0.9362 data_time: 0.0351 memory: 11089 grad_norm: 4.0965 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9347 loss: 1.9347 2022/08/02 08:57:38 - mmengine - INFO - Epoch(train) [41][380/1879] lr: 2.0000e-02 eta: 2 days, 4:27:44 time: 0.8932 data_time: 0.0304 memory: 11089 grad_norm: 3.9179 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1023 loss: 2.1023 2022/08/02 08:57:56 - mmengine - INFO - Epoch(train) [41][400/1879] lr: 2.0000e-02 eta: 2 days, 4:27:25 time: 0.8950 data_time: 0.0286 memory: 11089 grad_norm: 3.8351 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8959 loss: 1.8959 2022/08/02 08:58:14 - mmengine - INFO - Epoch(train) [41][420/1879] lr: 2.0000e-02 eta: 2 days, 4:27:06 time: 0.9148 data_time: 0.0275 memory: 11089 grad_norm: 3.8642 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7126 loss: 1.7126 2022/08/02 08:58:32 - mmengine - INFO - Epoch(train) [41][440/1879] lr: 2.0000e-02 eta: 2 days, 4:26:48 time: 0.9154 data_time: 0.0295 memory: 11089 grad_norm: 3.8494 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7973 loss: 1.7973 2022/08/02 08:58:51 - mmengine - INFO - Epoch(train) [41][460/1879] lr: 2.0000e-02 eta: 2 days, 4:26:30 time: 0.9192 data_time: 0.0290 memory: 11089 grad_norm: 4.0444 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9243 loss: 1.9243 2022/08/02 08:59:09 - mmengine - INFO - Epoch(train) [41][480/1879] lr: 2.0000e-02 eta: 2 days, 4:26:13 time: 0.9351 data_time: 0.0332 memory: 11089 grad_norm: 3.9904 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0246 loss: 2.0246 2022/08/02 08:59:28 - mmengine - INFO - Epoch(train) [41][500/1879] lr: 2.0000e-02 eta: 2 days, 4:25:55 time: 0.9303 data_time: 0.0269 memory: 11089 grad_norm: 3.9881 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9721 loss: 1.9721 2022/08/02 08:59:46 - mmengine - INFO - Epoch(train) [41][520/1879] lr: 2.0000e-02 eta: 2 days, 4:25:36 time: 0.9012 data_time: 0.0216 memory: 11089 grad_norm: 4.0125 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9446 loss: 1.9446 2022/08/02 09:00:04 - mmengine - INFO - Epoch(train) [41][540/1879] lr: 2.0000e-02 eta: 2 days, 4:25:17 time: 0.9102 data_time: 0.0269 memory: 11089 grad_norm: 3.9794 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8853 loss: 1.8853 2022/08/02 09:00:22 - mmengine - INFO - Epoch(train) [41][560/1879] lr: 2.0000e-02 eta: 2 days, 4:24:58 time: 0.9034 data_time: 0.0186 memory: 11089 grad_norm: 3.9044 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9376 loss: 1.9376 2022/08/02 09:00:41 - mmengine - INFO - Epoch(train) [41][580/1879] lr: 2.0000e-02 eta: 2 days, 4:24:42 time: 0.9414 data_time: 0.0395 memory: 11089 grad_norm: 3.8661 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0740 loss: 2.0740 2022/08/02 09:00:59 - mmengine - INFO - Epoch(train) [41][600/1879] lr: 2.0000e-02 eta: 2 days, 4:24:23 time: 0.9191 data_time: 0.0276 memory: 11089 grad_norm: 3.9538 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9358 loss: 1.9358 2022/08/02 09:01:18 - mmengine - INFO - Epoch(train) [41][620/1879] lr: 2.0000e-02 eta: 2 days, 4:24:06 time: 0.9324 data_time: 0.0303 memory: 11089 grad_norm: 3.9408 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8120 loss: 1.8120 2022/08/02 09:01:36 - mmengine - INFO - Epoch(train) [41][640/1879] lr: 2.0000e-02 eta: 2 days, 4:23:47 time: 0.9073 data_time: 0.0282 memory: 11089 grad_norm: 3.8372 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9666 loss: 1.9666 2022/08/02 09:01:54 - mmengine - INFO - Epoch(train) [41][660/1879] lr: 2.0000e-02 eta: 2 days, 4:23:29 time: 0.9104 data_time: 0.0254 memory: 11089 grad_norm: 4.0480 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0915 loss: 2.0915 2022/08/02 09:02:13 - mmengine - INFO - Epoch(train) [41][680/1879] lr: 2.0000e-02 eta: 2 days, 4:23:11 time: 0.9172 data_time: 0.0273 memory: 11089 grad_norm: 3.9223 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9550 loss: 1.9550 2022/08/02 09:02:32 - mmengine - INFO - Epoch(train) [41][700/1879] lr: 2.0000e-02 eta: 2 days, 4:22:53 time: 0.9387 data_time: 0.0285 memory: 11089 grad_norm: 3.9783 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8658 loss: 1.8658 2022/08/02 09:02:50 - mmengine - INFO - Epoch(train) [41][720/1879] lr: 2.0000e-02 eta: 2 days, 4:22:35 time: 0.9202 data_time: 0.0262 memory: 11089 grad_norm: 4.0045 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8069 loss: 1.8069 2022/08/02 09:03:09 - mmengine - INFO - Epoch(train) [41][740/1879] lr: 2.0000e-02 eta: 2 days, 4:22:18 time: 0.9362 data_time: 0.0311 memory: 11089 grad_norm: 3.9444 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0398 loss: 2.0398 2022/08/02 09:03:27 - mmengine - INFO - Epoch(train) [41][760/1879] lr: 2.0000e-02 eta: 2 days, 4:22:00 time: 0.9196 data_time: 0.0249 memory: 11089 grad_norm: 3.9139 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0138 loss: 2.0138 2022/08/02 09:03:45 - mmengine - INFO - Epoch(train) [41][780/1879] lr: 2.0000e-02 eta: 2 days, 4:21:42 time: 0.9161 data_time: 0.0308 memory: 11089 grad_norm: 4.0045 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0146 loss: 2.0146 2022/08/02 09:04:04 - mmengine - INFO - Epoch(train) [41][800/1879] lr: 2.0000e-02 eta: 2 days, 4:21:24 time: 0.9231 data_time: 0.0254 memory: 11089 grad_norm: 3.9174 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9126 loss: 1.9126 2022/08/02 09:04:22 - mmengine - INFO - Epoch(train) [41][820/1879] lr: 2.0000e-02 eta: 2 days, 4:21:06 time: 0.9238 data_time: 0.0348 memory: 11089 grad_norm: 3.8583 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9238 loss: 1.9238 2022/08/02 09:04:41 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 09:04:41 - mmengine - INFO - Epoch(train) [41][840/1879] lr: 2.0000e-02 eta: 2 days, 4:20:48 time: 0.9243 data_time: 0.0337 memory: 11089 grad_norm: 4.0294 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9959 loss: 1.9959 2022/08/02 09:05:00 - mmengine - INFO - Epoch(train) [41][860/1879] lr: 2.0000e-02 eta: 2 days, 4:20:31 time: 0.9422 data_time: 0.0352 memory: 11089 grad_norm: 3.9465 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8807 loss: 1.8807 2022/08/02 09:05:18 - mmengine - INFO - Epoch(train) [41][880/1879] lr: 2.0000e-02 eta: 2 days, 4:20:13 time: 0.9178 data_time: 0.0272 memory: 11089 grad_norm: 3.9875 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8357 loss: 1.8357 2022/08/02 09:05:36 - mmengine - INFO - Epoch(train) [41][900/1879] lr: 2.0000e-02 eta: 2 days, 4:19:54 time: 0.9031 data_time: 0.0238 memory: 11089 grad_norm: 3.9773 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8145 loss: 1.8145 2022/08/02 09:05:54 - mmengine - INFO - Epoch(train) [41][920/1879] lr: 2.0000e-02 eta: 2 days, 4:19:35 time: 0.9045 data_time: 0.0250 memory: 11089 grad_norm: 3.8229 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9073 loss: 1.9073 2022/08/02 09:06:13 - mmengine - INFO - Epoch(train) [41][940/1879] lr: 2.0000e-02 eta: 2 days, 4:19:17 time: 0.9149 data_time: 0.0314 memory: 11089 grad_norm: 3.9837 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0996 loss: 2.0996 2022/08/02 09:06:31 - mmengine - INFO - Epoch(train) [41][960/1879] lr: 2.0000e-02 eta: 2 days, 4:18:58 time: 0.9095 data_time: 0.0245 memory: 11089 grad_norm: 3.8762 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9963 loss: 1.9963 2022/08/02 09:06:50 - mmengine - INFO - Epoch(train) [41][980/1879] lr: 2.0000e-02 eta: 2 days, 4:18:42 time: 0.9415 data_time: 0.0269 memory: 11089 grad_norm: 3.9130 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6999 loss: 1.6999 2022/08/02 09:07:08 - mmengine - INFO - Epoch(train) [41][1000/1879] lr: 2.0000e-02 eta: 2 days, 4:18:23 time: 0.9172 data_time: 0.0242 memory: 11089 grad_norm: 3.9273 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0255 loss: 2.0255 2022/08/02 09:07:26 - mmengine - INFO - Epoch(train) [41][1020/1879] lr: 2.0000e-02 eta: 2 days, 4:18:04 time: 0.8905 data_time: 0.0191 memory: 11089 grad_norm: 3.9264 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6684 loss: 1.6684 2022/08/02 09:07:44 - mmengine - INFO - Epoch(train) [41][1040/1879] lr: 2.0000e-02 eta: 2 days, 4:17:46 time: 0.9256 data_time: 0.0279 memory: 11089 grad_norm: 3.9050 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9684 loss: 1.9684 2022/08/02 09:08:03 - mmengine - INFO - Epoch(train) [41][1060/1879] lr: 2.0000e-02 eta: 2 days, 4:17:29 time: 0.9365 data_time: 0.0360 memory: 11089 grad_norm: 3.9513 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0588 loss: 2.0588 2022/08/02 09:08:21 - mmengine - INFO - Epoch(train) [41][1080/1879] lr: 2.0000e-02 eta: 2 days, 4:17:10 time: 0.9140 data_time: 0.0288 memory: 11089 grad_norm: 3.9230 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0912 loss: 2.0912 2022/08/02 09:08:40 - mmengine - INFO - Epoch(train) [41][1100/1879] lr: 2.0000e-02 eta: 2 days, 4:16:53 time: 0.9276 data_time: 0.0361 memory: 11089 grad_norm: 3.8901 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9646 loss: 1.9646 2022/08/02 09:08:58 - mmengine - INFO - Epoch(train) [41][1120/1879] lr: 2.0000e-02 eta: 2 days, 4:16:34 time: 0.9102 data_time: 0.0324 memory: 11089 grad_norm: 3.9635 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.9348 loss: 1.9348 2022/08/02 09:09:16 - mmengine - INFO - Epoch(train) [41][1140/1879] lr: 2.0000e-02 eta: 2 days, 4:16:15 time: 0.9098 data_time: 0.0261 memory: 11089 grad_norm: 3.9343 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8436 loss: 1.8436 2022/08/02 09:09:34 - mmengine - INFO - Epoch(train) [41][1160/1879] lr: 2.0000e-02 eta: 2 days, 4:15:57 time: 0.9099 data_time: 0.0271 memory: 11089 grad_norm: 3.9497 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0924 loss: 2.0924 2022/08/02 09:09:53 - mmengine - INFO - Epoch(train) [41][1180/1879] lr: 2.0000e-02 eta: 2 days, 4:15:39 time: 0.9274 data_time: 0.0323 memory: 11089 grad_norm: 3.9068 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9582 loss: 1.9582 2022/08/02 09:10:11 - mmengine - INFO - Epoch(train) [41][1200/1879] lr: 2.0000e-02 eta: 2 days, 4:15:21 time: 0.9126 data_time: 0.0243 memory: 11089 grad_norm: 3.8900 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9773 loss: 1.9773 2022/08/02 09:10:30 - mmengine - INFO - Epoch(train) [41][1220/1879] lr: 2.0000e-02 eta: 2 days, 4:15:04 time: 0.9361 data_time: 0.0277 memory: 11089 grad_norm: 3.9088 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8159 loss: 1.8159 2022/08/02 09:10:48 - mmengine - INFO - Epoch(train) [41][1240/1879] lr: 2.0000e-02 eta: 2 days, 4:14:46 time: 0.9281 data_time: 0.0237 memory: 11089 grad_norm: 3.9852 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2259 loss: 2.2259 2022/08/02 09:11:07 - mmengine - INFO - Epoch(train) [41][1260/1879] lr: 2.0000e-02 eta: 2 days, 4:14:27 time: 0.9088 data_time: 0.0375 memory: 11089 grad_norm: 3.9463 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8969 loss: 1.8969 2022/08/02 09:11:25 - mmengine - INFO - Epoch(train) [41][1280/1879] lr: 2.0000e-02 eta: 2 days, 4:14:08 time: 0.8984 data_time: 0.0292 memory: 11089 grad_norm: 3.8699 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0261 loss: 2.0261 2022/08/02 09:11:43 - mmengine - INFO - Epoch(train) [41][1300/1879] lr: 2.0000e-02 eta: 2 days, 4:13:50 time: 0.9208 data_time: 0.0269 memory: 11089 grad_norm: 3.9348 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8471 loss: 1.8471 2022/08/02 09:12:01 - mmengine - INFO - Epoch(train) [41][1320/1879] lr: 2.0000e-02 eta: 2 days, 4:13:31 time: 0.9027 data_time: 0.0221 memory: 11089 grad_norm: 3.9432 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8527 loss: 1.8527 2022/08/02 09:12:20 - mmengine - INFO - Epoch(train) [41][1340/1879] lr: 2.0000e-02 eta: 2 days, 4:13:13 time: 0.9253 data_time: 0.0277 memory: 11089 grad_norm: 3.9951 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9638 loss: 1.9638 2022/08/02 09:12:38 - mmengine - INFO - Epoch(train) [41][1360/1879] lr: 2.0000e-02 eta: 2 days, 4:12:54 time: 0.9013 data_time: 0.0211 memory: 11089 grad_norm: 3.9854 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1630 loss: 2.1630 2022/08/02 09:12:56 - mmengine - INFO - Epoch(train) [41][1380/1879] lr: 2.0000e-02 eta: 2 days, 4:12:36 time: 0.9114 data_time: 0.0257 memory: 11089 grad_norm: 4.0393 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9270 loss: 1.9270 2022/08/02 09:13:14 - mmengine - INFO - Epoch(train) [41][1400/1879] lr: 2.0000e-02 eta: 2 days, 4:12:17 time: 0.9095 data_time: 0.0282 memory: 11089 grad_norm: 3.9515 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9147 loss: 1.9147 2022/08/02 09:13:32 - mmengine - INFO - Epoch(train) [41][1420/1879] lr: 2.0000e-02 eta: 2 days, 4:11:58 time: 0.9113 data_time: 0.0309 memory: 11089 grad_norm: 3.9678 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0450 loss: 2.0450 2022/08/02 09:13:50 - mmengine - INFO - Epoch(train) [41][1440/1879] lr: 2.0000e-02 eta: 2 days, 4:11:40 time: 0.9107 data_time: 0.0279 memory: 11089 grad_norm: 3.9874 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0421 loss: 2.0421 2022/08/02 09:14:09 - mmengine - INFO - Epoch(train) [41][1460/1879] lr: 2.0000e-02 eta: 2 days, 4:11:21 time: 0.9072 data_time: 0.0287 memory: 11089 grad_norm: 3.9444 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0874 loss: 2.0874 2022/08/02 09:14:27 - mmengine - INFO - Epoch(train) [41][1480/1879] lr: 2.0000e-02 eta: 2 days, 4:11:03 time: 0.9270 data_time: 0.0285 memory: 11089 grad_norm: 4.0328 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9453 loss: 1.9453 2022/08/02 09:14:46 - mmengine - INFO - Epoch(train) [41][1500/1879] lr: 2.0000e-02 eta: 2 days, 4:10:46 time: 0.9367 data_time: 0.0331 memory: 11089 grad_norm: 3.9529 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0094 loss: 2.0094 2022/08/02 09:15:04 - mmengine - INFO - Epoch(train) [41][1520/1879] lr: 2.0000e-02 eta: 2 days, 4:10:28 time: 0.9160 data_time: 0.0228 memory: 11089 grad_norm: 3.9107 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7687 loss: 1.7687 2022/08/02 09:15:22 - mmengine - INFO - Epoch(train) [41][1540/1879] lr: 2.0000e-02 eta: 2 days, 4:10:09 time: 0.9103 data_time: 0.0247 memory: 11089 grad_norm: 3.9460 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8970 loss: 1.8970 2022/08/02 09:15:41 - mmengine - INFO - Epoch(train) [41][1560/1879] lr: 2.0000e-02 eta: 2 days, 4:09:50 time: 0.9027 data_time: 0.0251 memory: 11089 grad_norm: 3.8842 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7437 loss: 1.7437 2022/08/02 09:15:59 - mmengine - INFO - Epoch(train) [41][1580/1879] lr: 2.0000e-02 eta: 2 days, 4:09:33 time: 0.9416 data_time: 0.0289 memory: 11089 grad_norm: 3.9504 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9391 loss: 1.9391 2022/08/02 09:16:18 - mmengine - INFO - Epoch(train) [41][1600/1879] lr: 2.0000e-02 eta: 2 days, 4:09:15 time: 0.9160 data_time: 0.0325 memory: 11089 grad_norm: 4.0445 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9152 loss: 1.9152 2022/08/02 09:16:36 - mmengine - INFO - Epoch(train) [41][1620/1879] lr: 2.0000e-02 eta: 2 days, 4:08:56 time: 0.9048 data_time: 0.0260 memory: 11089 grad_norm: 3.9502 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7526 loss: 1.7526 2022/08/02 09:16:54 - mmengine - INFO - Epoch(train) [41][1640/1879] lr: 2.0000e-02 eta: 2 days, 4:08:39 time: 0.9292 data_time: 0.0271 memory: 11089 grad_norm: 3.9122 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9874 loss: 1.9874 2022/08/02 09:17:12 - mmengine - INFO - Epoch(train) [41][1660/1879] lr: 2.0000e-02 eta: 2 days, 4:08:20 time: 0.9022 data_time: 0.0279 memory: 11089 grad_norm: 3.9866 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8763 loss: 1.8763 2022/08/02 09:17:31 - mmengine - INFO - Epoch(train) [41][1680/1879] lr: 2.0000e-02 eta: 2 days, 4:08:02 time: 0.9334 data_time: 0.0266 memory: 11089 grad_norm: 3.9522 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7955 loss: 1.7955 2022/08/02 09:17:49 - mmengine - INFO - Epoch(train) [41][1700/1879] lr: 2.0000e-02 eta: 2 days, 4:07:42 time: 0.8806 data_time: 0.0236 memory: 11089 grad_norm: 4.0192 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2563 loss: 2.2563 2022/08/02 09:18:07 - mmengine - INFO - Epoch(train) [41][1720/1879] lr: 2.0000e-02 eta: 2 days, 4:07:24 time: 0.9129 data_time: 0.0318 memory: 11089 grad_norm: 3.9897 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.2005 loss: 2.2005 2022/08/02 09:18:25 - mmengine - INFO - Epoch(train) [41][1740/1879] lr: 2.0000e-02 eta: 2 days, 4:07:05 time: 0.9061 data_time: 0.0268 memory: 11089 grad_norm: 4.0155 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8919 loss: 1.8919 2022/08/02 09:18:43 - mmengine - INFO - Epoch(train) [41][1760/1879] lr: 2.0000e-02 eta: 2 days, 4:06:47 time: 0.9146 data_time: 0.0279 memory: 11089 grad_norm: 3.9534 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9046 loss: 1.9046 2022/08/02 09:19:02 - mmengine - INFO - Epoch(train) [41][1780/1879] lr: 2.0000e-02 eta: 2 days, 4:06:29 time: 0.9382 data_time: 0.0307 memory: 11089 grad_norm: 3.9870 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9558 loss: 1.9558 2022/08/02 09:19:21 - mmengine - INFO - Epoch(train) [41][1800/1879] lr: 2.0000e-02 eta: 2 days, 4:06:12 time: 0.9257 data_time: 0.0287 memory: 11089 grad_norm: 4.0392 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1828 loss: 2.1828 2022/08/02 09:19:39 - mmengine - INFO - Epoch(train) [41][1820/1879] lr: 2.0000e-02 eta: 2 days, 4:05:53 time: 0.9160 data_time: 0.0339 memory: 11089 grad_norm: 3.8440 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.9796 loss: 1.9796 2022/08/02 09:19:58 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 09:19:58 - mmengine - INFO - Epoch(train) [41][1840/1879] lr: 2.0000e-02 eta: 2 days, 4:05:36 time: 0.9280 data_time: 0.0294 memory: 11089 grad_norm: 3.8515 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9229 loss: 1.9229 2022/08/02 09:20:16 - mmengine - INFO - Epoch(train) [41][1860/1879] lr: 2.0000e-02 eta: 2 days, 4:05:18 time: 0.9183 data_time: 0.0267 memory: 11089 grad_norm: 3.9152 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9563 loss: 1.9563 2022/08/02 09:20:33 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 09:20:33 - mmengine - INFO - Epoch(train) [41][1879/1879] lr: 2.0000e-02 eta: 2 days, 4:05:18 time: 0.9230 data_time: 0.0277 memory: 11089 grad_norm: 3.9258 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.0043 loss: 2.0043 2022/08/02 09:20:54 - mmengine - INFO - Epoch(train) [42][20/1879] lr: 2.0000e-02 eta: 2 days, 4:04:02 time: 1.0409 data_time: 0.1421 memory: 11089 grad_norm: 3.8492 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0384 loss: 2.0384 2022/08/02 09:21:13 - mmengine - INFO - Epoch(train) [42][40/1879] lr: 2.0000e-02 eta: 2 days, 4:03:45 time: 0.9381 data_time: 0.0316 memory: 11089 grad_norm: 3.9337 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8450 loss: 1.8450 2022/08/02 09:21:31 - mmengine - INFO - Epoch(train) [42][60/1879] lr: 2.0000e-02 eta: 2 days, 4:03:27 time: 0.9165 data_time: 0.0296 memory: 11089 grad_norm: 3.8644 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6814 loss: 1.6814 2022/08/02 09:21:50 - mmengine - INFO - Epoch(train) [42][80/1879] lr: 2.0000e-02 eta: 2 days, 4:03:09 time: 0.9159 data_time: 0.0332 memory: 11089 grad_norm: 3.9573 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0503 loss: 2.0503 2022/08/02 09:22:08 - mmengine - INFO - Epoch(train) [42][100/1879] lr: 2.0000e-02 eta: 2 days, 4:02:51 time: 0.9179 data_time: 0.0220 memory: 11089 grad_norm: 3.9839 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8694 loss: 1.8694 2022/08/02 09:22:27 - mmengine - INFO - Epoch(train) [42][120/1879] lr: 2.0000e-02 eta: 2 days, 4:02:33 time: 0.9304 data_time: 0.0268 memory: 11089 grad_norm: 3.8441 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8088 loss: 1.8088 2022/08/02 09:22:46 - mmengine - INFO - Epoch(train) [42][140/1879] lr: 2.0000e-02 eta: 2 days, 4:02:16 time: 0.9306 data_time: 0.0358 memory: 11089 grad_norm: 3.9090 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0499 loss: 2.0499 2022/08/02 09:23:04 - mmengine - INFO - Epoch(train) [42][160/1879] lr: 2.0000e-02 eta: 2 days, 4:01:58 time: 0.9240 data_time: 0.0351 memory: 11089 grad_norm: 3.9116 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8221 loss: 1.8221 2022/08/02 09:23:22 - mmengine - INFO - Epoch(train) [42][180/1879] lr: 2.0000e-02 eta: 2 days, 4:01:39 time: 0.9089 data_time: 0.0236 memory: 11089 grad_norm: 3.9610 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8993 loss: 1.8993 2022/08/02 09:23:41 - mmengine - INFO - Epoch(train) [42][200/1879] lr: 2.0000e-02 eta: 2 days, 4:01:22 time: 0.9314 data_time: 0.0348 memory: 11089 grad_norm: 3.9055 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9668 loss: 1.9668 2022/08/02 09:23:59 - mmengine - INFO - Epoch(train) [42][220/1879] lr: 2.0000e-02 eta: 2 days, 4:01:03 time: 0.9068 data_time: 0.0286 memory: 11089 grad_norm: 4.0018 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9059 loss: 1.9059 2022/08/02 09:24:17 - mmengine - INFO - Epoch(train) [42][240/1879] lr: 2.0000e-02 eta: 2 days, 4:00:44 time: 0.9083 data_time: 0.0297 memory: 11089 grad_norm: 3.9573 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9039 loss: 1.9039 2022/08/02 09:24:35 - mmengine - INFO - Epoch(train) [42][260/1879] lr: 2.0000e-02 eta: 2 days, 4:00:26 time: 0.9163 data_time: 0.0293 memory: 11089 grad_norm: 3.9371 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7916 loss: 1.7916 2022/08/02 09:24:53 - mmengine - INFO - Epoch(train) [42][280/1879] lr: 2.0000e-02 eta: 2 days, 4:00:06 time: 0.8926 data_time: 0.0299 memory: 11089 grad_norm: 3.8624 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9935 loss: 1.9935 2022/08/02 09:25:12 - mmengine - INFO - Epoch(train) [42][300/1879] lr: 2.0000e-02 eta: 2 days, 3:59:49 time: 0.9364 data_time: 0.0312 memory: 11089 grad_norm: 3.9317 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9812 loss: 1.9812 2022/08/02 09:25:31 - mmengine - INFO - Epoch(train) [42][320/1879] lr: 2.0000e-02 eta: 2 days, 3:59:32 time: 0.9404 data_time: 0.0349 memory: 11089 grad_norm: 3.9544 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7312 loss: 1.7312 2022/08/02 09:25:49 - mmengine - INFO - Epoch(train) [42][340/1879] lr: 2.0000e-02 eta: 2 days, 3:59:13 time: 0.8954 data_time: 0.0257 memory: 11089 grad_norm: 3.8892 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8587 loss: 1.8587 2022/08/02 09:26:07 - mmengine - INFO - Epoch(train) [42][360/1879] lr: 2.0000e-02 eta: 2 days, 3:58:54 time: 0.9096 data_time: 0.0330 memory: 11089 grad_norm: 3.8593 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8482 loss: 1.8482 2022/08/02 09:26:26 - mmengine - INFO - Epoch(train) [42][380/1879] lr: 2.0000e-02 eta: 2 days, 3:58:37 time: 0.9399 data_time: 0.0361 memory: 11089 grad_norm: 3.9653 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7499 loss: 1.7499 2022/08/02 09:26:45 - mmengine - INFO - Epoch(train) [42][400/1879] lr: 2.0000e-02 eta: 2 days, 3:58:21 time: 0.9471 data_time: 0.0382 memory: 11089 grad_norm: 4.0371 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0027 loss: 2.0027 2022/08/02 09:27:03 - mmengine - INFO - Epoch(train) [42][420/1879] lr: 2.0000e-02 eta: 2 days, 3:58:02 time: 0.9090 data_time: 0.0296 memory: 11089 grad_norm: 3.9394 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7196 loss: 1.7196 2022/08/02 09:27:21 - mmengine - INFO - Epoch(train) [42][440/1879] lr: 2.0000e-02 eta: 2 days, 3:57:43 time: 0.9095 data_time: 0.0270 memory: 11089 grad_norm: 3.9967 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0062 loss: 2.0062 2022/08/02 09:27:39 - mmengine - INFO - Epoch(train) [42][460/1879] lr: 2.0000e-02 eta: 2 days, 3:57:25 time: 0.9044 data_time: 0.0231 memory: 11089 grad_norm: 3.9705 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8661 loss: 1.8661 2022/08/02 09:27:58 - mmengine - INFO - Epoch(train) [42][480/1879] lr: 2.0000e-02 eta: 2 days, 3:57:07 time: 0.9306 data_time: 0.0289 memory: 11089 grad_norm: 3.9068 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8606 loss: 1.8606 2022/08/02 09:28:16 - mmengine - INFO - Epoch(train) [42][500/1879] lr: 2.0000e-02 eta: 2 days, 3:56:49 time: 0.9145 data_time: 0.0305 memory: 11089 grad_norm: 3.9301 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8891 loss: 1.8891 2022/08/02 09:28:34 - mmengine - INFO - Epoch(train) [42][520/1879] lr: 2.0000e-02 eta: 2 days, 3:56:31 time: 0.9255 data_time: 0.0250 memory: 11089 grad_norm: 3.9573 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9351 loss: 1.9351 2022/08/02 09:28:53 - mmengine - INFO - Epoch(train) [42][540/1879] lr: 2.0000e-02 eta: 2 days, 3:56:13 time: 0.9171 data_time: 0.0293 memory: 11089 grad_norm: 4.0154 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9800 loss: 1.9800 2022/08/02 09:29:11 - mmengine - INFO - Epoch(train) [42][560/1879] lr: 2.0000e-02 eta: 2 days, 3:55:55 time: 0.9319 data_time: 0.0279 memory: 11089 grad_norm: 4.0589 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0585 loss: 2.0585 2022/08/02 09:29:29 - mmengine - INFO - Epoch(train) [42][580/1879] lr: 2.0000e-02 eta: 2 days, 3:55:36 time: 0.9010 data_time: 0.0212 memory: 11089 grad_norm: 3.9781 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9980 loss: 1.9980 2022/08/02 09:29:47 - mmengine - INFO - Epoch(train) [42][600/1879] lr: 2.0000e-02 eta: 2 days, 3:55:17 time: 0.8972 data_time: 0.0262 memory: 11089 grad_norm: 3.9191 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8913 loss: 1.8913 2022/08/02 09:30:06 - mmengine - INFO - Epoch(train) [42][620/1879] lr: 2.0000e-02 eta: 2 days, 3:54:58 time: 0.9076 data_time: 0.0262 memory: 11089 grad_norm: 3.9364 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9816 loss: 1.9816 2022/08/02 09:30:24 - mmengine - INFO - Epoch(train) [42][640/1879] lr: 2.0000e-02 eta: 2 days, 3:54:40 time: 0.9130 data_time: 0.0316 memory: 11089 grad_norm: 3.8967 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8775 loss: 1.8775 2022/08/02 09:30:43 - mmengine - INFO - Epoch(train) [42][660/1879] lr: 2.0000e-02 eta: 2 days, 3:54:23 time: 0.9464 data_time: 0.0355 memory: 11089 grad_norm: 3.9600 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9636 loss: 1.9636 2022/08/02 09:31:01 - mmengine - INFO - Epoch(train) [42][680/1879] lr: 2.0000e-02 eta: 2 days, 3:54:04 time: 0.9082 data_time: 0.0258 memory: 11089 grad_norm: 3.9168 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0394 loss: 2.0394 2022/08/02 09:31:19 - mmengine - INFO - Epoch(train) [42][700/1879] lr: 2.0000e-02 eta: 2 days, 3:53:46 time: 0.9111 data_time: 0.0281 memory: 11089 grad_norm: 3.9533 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0796 loss: 2.0796 2022/08/02 09:31:37 - mmengine - INFO - Epoch(train) [42][720/1879] lr: 2.0000e-02 eta: 2 days, 3:53:28 time: 0.9165 data_time: 0.0290 memory: 11089 grad_norm: 3.9316 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8253 loss: 1.8253 2022/08/02 09:31:56 - mmengine - INFO - Epoch(train) [42][740/1879] lr: 2.0000e-02 eta: 2 days, 3:53:10 time: 0.9288 data_time: 0.0259 memory: 11089 grad_norm: 3.8752 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9171 loss: 1.9171 2022/08/02 09:32:14 - mmengine - INFO - Epoch(train) [42][760/1879] lr: 2.0000e-02 eta: 2 days, 3:52:51 time: 0.9065 data_time: 0.0267 memory: 11089 grad_norm: 3.8581 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8905 loss: 1.8905 2022/08/02 09:32:33 - mmengine - INFO - Epoch(train) [42][780/1879] lr: 2.0000e-02 eta: 2 days, 3:52:34 time: 0.9256 data_time: 0.0270 memory: 11089 grad_norm: 3.8846 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8928 loss: 1.8928 2022/08/02 09:32:51 - mmengine - INFO - Epoch(train) [42][800/1879] lr: 2.0000e-02 eta: 2 days, 3:52:15 time: 0.9168 data_time: 0.0221 memory: 11089 grad_norm: 4.0135 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7918 loss: 1.7918 2022/08/02 09:33:09 - mmengine - INFO - Epoch(train) [42][820/1879] lr: 2.0000e-02 eta: 2 days, 3:51:57 time: 0.9169 data_time: 0.0279 memory: 11089 grad_norm: 4.0598 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8769 loss: 1.8769 2022/08/02 09:33:28 - mmengine - INFO - Epoch(train) [42][840/1879] lr: 2.0000e-02 eta: 2 days, 3:51:39 time: 0.9258 data_time: 0.0276 memory: 11089 grad_norm: 3.9307 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9251 loss: 1.9251 2022/08/02 09:33:46 - mmengine - INFO - Epoch(train) [42][860/1879] lr: 2.0000e-02 eta: 2 days, 3:51:20 time: 0.8964 data_time: 0.0263 memory: 11089 grad_norm: 3.9604 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0830 loss: 2.0830 2022/08/02 09:34:05 - mmengine - INFO - Epoch(train) [42][880/1879] lr: 2.0000e-02 eta: 2 days, 3:51:04 time: 0.9513 data_time: 0.0289 memory: 11089 grad_norm: 4.0049 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.0339 loss: 2.0339 2022/08/02 09:34:23 - mmengine - INFO - Epoch(train) [42][900/1879] lr: 2.0000e-02 eta: 2 days, 3:50:44 time: 0.8986 data_time: 0.0262 memory: 11089 grad_norm: 3.9278 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1799 loss: 2.1799 2022/08/02 09:34:41 - mmengine - INFO - Epoch(train) [42][920/1879] lr: 2.0000e-02 eta: 2 days, 3:50:27 time: 0.9345 data_time: 0.0341 memory: 11089 grad_norm: 3.9982 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8954 loss: 1.8954 2022/08/02 09:35:00 - mmengine - INFO - Epoch(train) [42][940/1879] lr: 2.0000e-02 eta: 2 days, 3:50:09 time: 0.9145 data_time: 0.0272 memory: 11089 grad_norm: 3.9673 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0334 loss: 2.0334 2022/08/02 09:35:18 - mmengine - INFO - Epoch(train) [42][960/1879] lr: 2.0000e-02 eta: 2 days, 3:49:50 time: 0.9018 data_time: 0.0287 memory: 11089 grad_norm: 3.8511 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9033 loss: 1.9033 2022/08/02 09:35:19 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 09:35:37 - mmengine - INFO - Epoch(train) [42][980/1879] lr: 2.0000e-02 eta: 2 days, 3:49:33 time: 0.9437 data_time: 0.0296 memory: 11089 grad_norm: 4.0591 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7698 loss: 1.7698 2022/08/02 09:35:55 - mmengine - INFO - Epoch(train) [42][1000/1879] lr: 2.0000e-02 eta: 2 days, 3:49:14 time: 0.9095 data_time: 0.0297 memory: 11089 grad_norm: 4.0168 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8020 loss: 1.8020 2022/08/02 09:36:13 - mmengine - INFO - Epoch(train) [42][1020/1879] lr: 2.0000e-02 eta: 2 days, 3:48:57 time: 0.9293 data_time: 0.0287 memory: 11089 grad_norm: 4.0293 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9354 loss: 1.9354 2022/08/02 09:36:32 - mmengine - INFO - Epoch(train) [42][1040/1879] lr: 2.0000e-02 eta: 2 days, 3:48:39 time: 0.9247 data_time: 0.0300 memory: 11089 grad_norm: 4.0700 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0424 loss: 2.0424 2022/08/02 09:36:51 - mmengine - INFO - Epoch(train) [42][1060/1879] lr: 2.0000e-02 eta: 2 days, 3:48:22 time: 0.9430 data_time: 0.0257 memory: 11089 grad_norm: 3.8929 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8575 loss: 1.8575 2022/08/02 09:37:09 - mmengine - INFO - Epoch(train) [42][1080/1879] lr: 2.0000e-02 eta: 2 days, 3:48:04 time: 0.9145 data_time: 0.0288 memory: 11089 grad_norm: 3.9562 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8878 loss: 1.8878 2022/08/02 09:37:27 - mmengine - INFO - Epoch(train) [42][1100/1879] lr: 2.0000e-02 eta: 2 days, 3:47:45 time: 0.9094 data_time: 0.0289 memory: 11089 grad_norm: 3.9443 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8365 loss: 1.8365 2022/08/02 09:37:45 - mmengine - INFO - Epoch(train) [42][1120/1879] lr: 2.0000e-02 eta: 2 days, 3:47:26 time: 0.9082 data_time: 0.0227 memory: 11089 grad_norm: 3.9167 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.0207 loss: 2.0207 2022/08/02 09:38:04 - mmengine - INFO - Epoch(train) [42][1140/1879] lr: 2.0000e-02 eta: 2 days, 3:47:08 time: 0.9185 data_time: 0.0349 memory: 11089 grad_norm: 3.9160 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8255 loss: 1.8255 2022/08/02 09:38:23 - mmengine - INFO - Epoch(train) [42][1160/1879] lr: 2.0000e-02 eta: 2 days, 3:46:51 time: 0.9325 data_time: 0.0270 memory: 11089 grad_norm: 3.9828 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9622 loss: 1.9622 2022/08/02 09:38:41 - mmengine - INFO - Epoch(train) [42][1180/1879] lr: 2.0000e-02 eta: 2 days, 3:46:34 time: 0.9398 data_time: 0.0386 memory: 11089 grad_norm: 4.0245 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.8702 loss: 1.8702 2022/08/02 09:39:00 - mmengine - INFO - Epoch(train) [42][1200/1879] lr: 2.0000e-02 eta: 2 days, 3:46:16 time: 0.9228 data_time: 0.0286 memory: 11089 grad_norm: 3.9343 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2319 loss: 2.2319 2022/08/02 09:39:18 - mmengine - INFO - Epoch(train) [42][1220/1879] lr: 2.0000e-02 eta: 2 days, 3:45:57 time: 0.9017 data_time: 0.0277 memory: 11089 grad_norm: 3.9835 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0605 loss: 2.0605 2022/08/02 09:39:36 - mmengine - INFO - Epoch(train) [42][1240/1879] lr: 2.0000e-02 eta: 2 days, 3:45:39 time: 0.9273 data_time: 0.0327 memory: 11089 grad_norm: 4.1314 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0737 loss: 2.0737 2022/08/02 09:39:55 - mmengine - INFO - Epoch(train) [42][1260/1879] lr: 2.0000e-02 eta: 2 days, 3:45:22 time: 0.9384 data_time: 0.0307 memory: 11089 grad_norm: 3.9592 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2128 loss: 2.2128 2022/08/02 09:40:14 - mmengine - INFO - Epoch(train) [42][1280/1879] lr: 2.0000e-02 eta: 2 days, 3:45:05 time: 0.9308 data_time: 0.0404 memory: 11089 grad_norm: 3.9725 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9386 loss: 1.9386 2022/08/02 09:40:32 - mmengine - INFO - Epoch(train) [42][1300/1879] lr: 2.0000e-02 eta: 2 days, 3:44:46 time: 0.9037 data_time: 0.0239 memory: 11089 grad_norm: 3.9954 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8222 loss: 1.8222 2022/08/02 09:40:50 - mmengine - INFO - Epoch(train) [42][1320/1879] lr: 2.0000e-02 eta: 2 days, 3:44:28 time: 0.9183 data_time: 0.0251 memory: 11089 grad_norm: 3.8599 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9347 loss: 1.9347 2022/08/02 09:41:09 - mmengine - INFO - Epoch(train) [42][1340/1879] lr: 2.0000e-02 eta: 2 days, 3:44:10 time: 0.9217 data_time: 0.0284 memory: 11089 grad_norm: 3.9066 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0760 loss: 2.0760 2022/08/02 09:41:26 - mmengine - INFO - Epoch(train) [42][1360/1879] lr: 2.0000e-02 eta: 2 days, 3:43:50 time: 0.8859 data_time: 0.0250 memory: 11089 grad_norm: 3.9129 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9680 loss: 1.9680 2022/08/02 09:41:45 - mmengine - INFO - Epoch(train) [42][1380/1879] lr: 2.0000e-02 eta: 2 days, 3:43:32 time: 0.9189 data_time: 0.0302 memory: 11089 grad_norm: 3.8558 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9088 loss: 1.9088 2022/08/02 09:42:03 - mmengine - INFO - Epoch(train) [42][1400/1879] lr: 2.0000e-02 eta: 2 days, 3:43:14 time: 0.9252 data_time: 0.0348 memory: 11089 grad_norm: 3.8849 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8819 loss: 1.8819 2022/08/02 09:42:22 - mmengine - INFO - Epoch(train) [42][1420/1879] lr: 2.0000e-02 eta: 2 days, 3:42:56 time: 0.9247 data_time: 0.0284 memory: 11089 grad_norm: 4.0266 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0167 loss: 2.0167 2022/08/02 09:42:40 - mmengine - INFO - Epoch(train) [42][1440/1879] lr: 2.0000e-02 eta: 2 days, 3:42:38 time: 0.9231 data_time: 0.0255 memory: 11089 grad_norm: 3.9239 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.1404 loss: 2.1404 2022/08/02 09:42:59 - mmengine - INFO - Epoch(train) [42][1460/1879] lr: 2.0000e-02 eta: 2 days, 3:42:20 time: 0.9289 data_time: 0.0368 memory: 11089 grad_norm: 3.9645 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0511 loss: 2.0511 2022/08/02 09:43:17 - mmengine - INFO - Epoch(train) [42][1480/1879] lr: 2.0000e-02 eta: 2 days, 3:42:02 time: 0.9099 data_time: 0.0236 memory: 11089 grad_norm: 3.9349 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8089 loss: 1.8089 2022/08/02 09:43:35 - mmengine - INFO - Epoch(train) [42][1500/1879] lr: 2.0000e-02 eta: 2 days, 3:41:43 time: 0.9123 data_time: 0.0226 memory: 11089 grad_norm: 3.8453 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7554 loss: 1.7554 2022/08/02 09:43:54 - mmengine - INFO - Epoch(train) [42][1520/1879] lr: 2.0000e-02 eta: 2 days, 3:41:25 time: 0.9207 data_time: 0.0324 memory: 11089 grad_norm: 3.9457 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0258 loss: 2.0258 2022/08/02 09:44:12 - mmengine - INFO - Epoch(train) [42][1540/1879] lr: 2.0000e-02 eta: 2 days, 3:41:06 time: 0.8972 data_time: 0.0230 memory: 11089 grad_norm: 3.9000 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9423 loss: 1.9423 2022/08/02 09:44:30 - mmengine - INFO - Epoch(train) [42][1560/1879] lr: 2.0000e-02 eta: 2 days, 3:40:47 time: 0.9072 data_time: 0.0229 memory: 11089 grad_norm: 3.9723 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9280 loss: 1.9280 2022/08/02 09:44:49 - mmengine - INFO - Epoch(train) [42][1580/1879] lr: 2.0000e-02 eta: 2 days, 3:40:31 time: 0.9449 data_time: 0.0336 memory: 11089 grad_norm: 4.0701 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1074 loss: 2.1074 2022/08/02 09:45:07 - mmengine - INFO - Epoch(train) [42][1600/1879] lr: 2.0000e-02 eta: 2 days, 3:40:13 time: 0.9252 data_time: 0.0243 memory: 11089 grad_norm: 4.0234 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0241 loss: 2.0241 2022/08/02 09:45:25 - mmengine - INFO - Epoch(train) [42][1620/1879] lr: 2.0000e-02 eta: 2 days, 3:39:53 time: 0.8938 data_time: 0.0273 memory: 11089 grad_norm: 3.9171 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0978 loss: 2.0978 2022/08/02 09:45:43 - mmengine - INFO - Epoch(train) [42][1640/1879] lr: 2.0000e-02 eta: 2 days, 3:39:35 time: 0.9209 data_time: 0.0271 memory: 11089 grad_norm: 3.9011 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8590 loss: 1.8590 2022/08/02 09:46:02 - mmengine - INFO - Epoch(train) [42][1660/1879] lr: 2.0000e-02 eta: 2 days, 3:39:17 time: 0.9104 data_time: 0.0258 memory: 11089 grad_norm: 3.8708 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8119 loss: 1.8119 2022/08/02 09:46:20 - mmengine - INFO - Epoch(train) [42][1680/1879] lr: 2.0000e-02 eta: 2 days, 3:38:58 time: 0.9097 data_time: 0.0242 memory: 11089 grad_norm: 3.9437 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8575 loss: 1.8575 2022/08/02 09:46:38 - mmengine - INFO - Epoch(train) [42][1700/1879] lr: 2.0000e-02 eta: 2 days, 3:38:40 time: 0.9226 data_time: 0.0352 memory: 11089 grad_norm: 3.9224 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9756 loss: 1.9756 2022/08/02 09:46:56 - mmengine - INFO - Epoch(train) [42][1720/1879] lr: 2.0000e-02 eta: 2 days, 3:38:21 time: 0.9022 data_time: 0.0245 memory: 11089 grad_norm: 3.9819 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8365 loss: 1.8365 2022/08/02 09:47:15 - mmengine - INFO - Epoch(train) [42][1740/1879] lr: 2.0000e-02 eta: 2 days, 3:38:03 time: 0.9092 data_time: 0.0265 memory: 11089 grad_norm: 3.8936 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1448 loss: 2.1448 2022/08/02 09:47:33 - mmengine - INFO - Epoch(train) [42][1760/1879] lr: 2.0000e-02 eta: 2 days, 3:37:45 time: 0.9182 data_time: 0.0240 memory: 11089 grad_norm: 4.0313 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9195 loss: 1.9195 2022/08/02 09:47:51 - mmengine - INFO - Epoch(train) [42][1780/1879] lr: 2.0000e-02 eta: 2 days, 3:37:25 time: 0.8909 data_time: 0.0252 memory: 11089 grad_norm: 3.9894 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0429 loss: 2.0429 2022/08/02 09:48:09 - mmengine - INFO - Epoch(train) [42][1800/1879] lr: 2.0000e-02 eta: 2 days, 3:37:07 time: 0.9187 data_time: 0.0252 memory: 11089 grad_norm: 3.9842 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0311 loss: 2.0311 2022/08/02 09:48:28 - mmengine - INFO - Epoch(train) [42][1820/1879] lr: 2.0000e-02 eta: 2 days, 3:36:50 time: 0.9450 data_time: 0.0234 memory: 11089 grad_norm: 3.9073 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9019 loss: 1.9019 2022/08/02 09:48:46 - mmengine - INFO - Epoch(train) [42][1840/1879] lr: 2.0000e-02 eta: 2 days, 3:36:32 time: 0.9126 data_time: 0.0252 memory: 11089 grad_norm: 3.9620 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7883 loss: 1.7883 2022/08/02 09:49:04 - mmengine - INFO - Epoch(train) [42][1860/1879] lr: 2.0000e-02 eta: 2 days, 3:36:13 time: 0.9033 data_time: 0.0269 memory: 11089 grad_norm: 3.9445 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0243 loss: 2.0243 2022/08/02 09:49:22 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 09:49:22 - mmengine - INFO - Epoch(train) [42][1879/1879] lr: 2.0000e-02 eta: 2 days, 3:36:13 time: 0.9226 data_time: 0.0260 memory: 11089 grad_norm: 4.0737 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 2.0283 loss: 2.0283 2022/08/02 09:49:42 - mmengine - INFO - Epoch(train) [43][20/1879] lr: 2.0000e-02 eta: 2 days, 3:34:57 time: 1.0056 data_time: 0.1256 memory: 11089 grad_norm: 3.9390 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9021 loss: 1.9021 2022/08/02 09:50:00 - mmengine - INFO - Epoch(train) [43][40/1879] lr: 2.0000e-02 eta: 2 days, 3:34:38 time: 0.9062 data_time: 0.0245 memory: 11089 grad_norm: 4.0273 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0407 loss: 2.0407 2022/08/02 09:50:18 - mmengine - INFO - Epoch(train) [43][60/1879] lr: 2.0000e-02 eta: 2 days, 3:34:20 time: 0.9102 data_time: 0.0240 memory: 11089 grad_norm: 3.9490 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8230 loss: 1.8230 2022/08/02 09:50:37 - mmengine - INFO - Epoch(train) [43][80/1879] lr: 2.0000e-02 eta: 2 days, 3:34:01 time: 0.9035 data_time: 0.0227 memory: 11089 grad_norm: 3.7993 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7772 loss: 1.7772 2022/08/02 09:50:38 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 09:50:55 - mmengine - INFO - Epoch(train) [43][100/1879] lr: 2.0000e-02 eta: 2 days, 3:33:44 time: 0.9469 data_time: 0.0293 memory: 11089 grad_norm: 3.9303 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8436 loss: 1.8436 2022/08/02 09:51:14 - mmengine - INFO - Epoch(train) [43][120/1879] lr: 2.0000e-02 eta: 2 days, 3:33:26 time: 0.9117 data_time: 0.0310 memory: 11089 grad_norm: 3.8343 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8106 loss: 1.8106 2022/08/02 09:51:32 - mmengine - INFO - Epoch(train) [43][140/1879] lr: 2.0000e-02 eta: 2 days, 3:33:07 time: 0.9098 data_time: 0.0233 memory: 11089 grad_norm: 3.8566 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7732 loss: 1.7732 2022/08/02 09:51:51 - mmengine - INFO - Epoch(train) [43][160/1879] lr: 2.0000e-02 eta: 2 days, 3:32:50 time: 0.9393 data_time: 0.0253 memory: 11089 grad_norm: 3.9023 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7918 loss: 1.7918 2022/08/02 09:52:09 - mmengine - INFO - Epoch(train) [43][180/1879] lr: 2.0000e-02 eta: 2 days, 3:32:32 time: 0.9218 data_time: 0.0255 memory: 11089 grad_norm: 3.8959 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7811 loss: 1.7811 2022/08/02 09:52:28 - mmengine - INFO - Epoch(train) [43][200/1879] lr: 2.0000e-02 eta: 2 days, 3:32:14 time: 0.9207 data_time: 0.0274 memory: 11089 grad_norm: 4.0406 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.7797 loss: 1.7797 2022/08/02 09:52:47 - mmengine - INFO - Epoch(train) [43][220/1879] lr: 2.0000e-02 eta: 2 days, 3:31:57 time: 0.9482 data_time: 0.0394 memory: 11089 grad_norm: 3.9774 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9214 loss: 1.9214 2022/08/02 09:53:05 - mmengine - INFO - Epoch(train) [43][240/1879] lr: 2.0000e-02 eta: 2 days, 3:31:39 time: 0.9177 data_time: 0.0361 memory: 11089 grad_norm: 4.0448 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0736 loss: 2.0736 2022/08/02 09:53:23 - mmengine - INFO - Epoch(train) [43][260/1879] lr: 2.0000e-02 eta: 2 days, 3:31:21 time: 0.9207 data_time: 0.0277 memory: 11089 grad_norm: 3.9825 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9900 loss: 1.9900 2022/08/02 09:53:42 - mmengine - INFO - Epoch(train) [43][280/1879] lr: 2.0000e-02 eta: 2 days, 3:31:03 time: 0.9167 data_time: 0.0278 memory: 11089 grad_norm: 4.0327 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9125 loss: 1.9125 2022/08/02 09:54:00 - mmengine - INFO - Epoch(train) [43][300/1879] lr: 2.0000e-02 eta: 2 days, 3:30:44 time: 0.9113 data_time: 0.0268 memory: 11089 grad_norm: 3.9610 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8340 loss: 1.8340 2022/08/02 09:54:18 - mmengine - INFO - Epoch(train) [43][320/1879] lr: 2.0000e-02 eta: 2 days, 3:30:25 time: 0.9026 data_time: 0.0245 memory: 11089 grad_norm: 4.0430 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7618 loss: 1.7618 2022/08/02 09:54:36 - mmengine - INFO - Epoch(train) [43][340/1879] lr: 2.0000e-02 eta: 2 days, 3:30:06 time: 0.9028 data_time: 0.0214 memory: 11089 grad_norm: 3.9064 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9228 loss: 1.9228 2022/08/02 09:54:55 - mmengine - INFO - Epoch(train) [43][360/1879] lr: 2.0000e-02 eta: 2 days, 3:29:49 time: 0.9275 data_time: 0.0352 memory: 11089 grad_norm: 4.1026 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1646 loss: 2.1646 2022/08/02 09:55:13 - mmengine - INFO - Epoch(train) [43][380/1879] lr: 2.0000e-02 eta: 2 days, 3:29:30 time: 0.8995 data_time: 0.0277 memory: 11089 grad_norm: 4.0174 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9435 loss: 1.9435 2022/08/02 09:55:31 - mmengine - INFO - Epoch(train) [43][400/1879] lr: 2.0000e-02 eta: 2 days, 3:29:11 time: 0.9114 data_time: 0.0300 memory: 11089 grad_norm: 3.9724 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8130 loss: 1.8130 2022/08/02 09:55:49 - mmengine - INFO - Epoch(train) [43][420/1879] lr: 2.0000e-02 eta: 2 days, 3:28:52 time: 0.9005 data_time: 0.0267 memory: 11089 grad_norm: 3.9321 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9720 loss: 1.9720 2022/08/02 09:56:07 - mmengine - INFO - Epoch(train) [43][440/1879] lr: 2.0000e-02 eta: 2 days, 3:28:35 time: 0.9353 data_time: 0.0336 memory: 11089 grad_norm: 3.9041 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7893 loss: 1.7893 2022/08/02 09:56:26 - mmengine - INFO - Epoch(train) [43][460/1879] lr: 2.0000e-02 eta: 2 days, 3:28:17 time: 0.9209 data_time: 0.0259 memory: 11089 grad_norm: 4.0270 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0214 loss: 2.0214 2022/08/02 09:56:44 - mmengine - INFO - Epoch(train) [43][480/1879] lr: 2.0000e-02 eta: 2 days, 3:27:59 time: 0.9277 data_time: 0.0285 memory: 11089 grad_norm: 4.0269 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8670 loss: 1.8670 2022/08/02 09:57:03 - mmengine - INFO - Epoch(train) [43][500/1879] lr: 2.0000e-02 eta: 2 days, 3:27:42 time: 0.9368 data_time: 0.0320 memory: 11089 grad_norm: 3.9696 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9764 loss: 1.9764 2022/08/02 09:57:22 - mmengine - INFO - Epoch(train) [43][520/1879] lr: 2.0000e-02 eta: 2 days, 3:27:24 time: 0.9142 data_time: 0.0295 memory: 11089 grad_norm: 4.0093 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7788 loss: 1.7788 2022/08/02 09:57:40 - mmengine - INFO - Epoch(train) [43][540/1879] lr: 2.0000e-02 eta: 2 days, 3:27:05 time: 0.9183 data_time: 0.0353 memory: 11089 grad_norm: 3.9601 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8018 loss: 1.8018 2022/08/02 09:57:58 - mmengine - INFO - Epoch(train) [43][560/1879] lr: 2.0000e-02 eta: 2 days, 3:26:47 time: 0.9157 data_time: 0.0269 memory: 11089 grad_norm: 3.8986 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9248 loss: 1.9248 2022/08/02 09:58:17 - mmengine - INFO - Epoch(train) [43][580/1879] lr: 2.0000e-02 eta: 2 days, 3:26:30 time: 0.9419 data_time: 0.0322 memory: 11089 grad_norm: 3.9772 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0570 loss: 2.0570 2022/08/02 09:58:36 - mmengine - INFO - Epoch(train) [43][600/1879] lr: 2.0000e-02 eta: 2 days, 3:26:13 time: 0.9314 data_time: 0.0294 memory: 11089 grad_norm: 4.0045 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9460 loss: 1.9460 2022/08/02 09:58:54 - mmengine - INFO - Epoch(train) [43][620/1879] lr: 2.0000e-02 eta: 2 days, 3:25:54 time: 0.9127 data_time: 0.0281 memory: 11089 grad_norm: 3.9275 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9890 loss: 1.9890 2022/08/02 09:59:12 - mmengine - INFO - Epoch(train) [43][640/1879] lr: 2.0000e-02 eta: 2 days, 3:25:36 time: 0.9112 data_time: 0.0277 memory: 11089 grad_norm: 3.9865 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0176 loss: 2.0176 2022/08/02 09:59:30 - mmengine - INFO - Epoch(train) [43][660/1879] lr: 2.0000e-02 eta: 2 days, 3:25:17 time: 0.9104 data_time: 0.0238 memory: 11089 grad_norm: 3.9760 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9142 loss: 1.9142 2022/08/02 09:59:48 - mmengine - INFO - Epoch(train) [43][680/1879] lr: 2.0000e-02 eta: 2 days, 3:24:59 time: 0.9063 data_time: 0.0241 memory: 11089 grad_norm: 3.8502 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7970 loss: 1.7970 2022/08/02 10:00:07 - mmengine - INFO - Epoch(train) [43][700/1879] lr: 2.0000e-02 eta: 2 days, 3:24:41 time: 0.9257 data_time: 0.0253 memory: 11089 grad_norm: 3.9293 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8222 loss: 1.8222 2022/08/02 10:00:25 - mmengine - INFO - Epoch(train) [43][720/1879] lr: 2.0000e-02 eta: 2 days, 3:24:22 time: 0.8960 data_time: 0.0252 memory: 11089 grad_norm: 3.9329 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9857 loss: 1.9857 2022/08/02 10:00:43 - mmengine - INFO - Epoch(train) [43][740/1879] lr: 2.0000e-02 eta: 2 days, 3:24:03 time: 0.9131 data_time: 0.0273 memory: 11089 grad_norm: 4.0192 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8686 loss: 1.8686 2022/08/02 10:01:01 - mmengine - INFO - Epoch(train) [43][760/1879] lr: 2.0000e-02 eta: 2 days, 3:23:45 time: 0.9096 data_time: 0.0253 memory: 11089 grad_norm: 3.9422 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7645 loss: 1.7645 2022/08/02 10:01:19 - mmengine - INFO - Epoch(train) [43][780/1879] lr: 2.0000e-02 eta: 2 days, 3:23:26 time: 0.9046 data_time: 0.0249 memory: 11089 grad_norm: 3.9499 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9017 loss: 1.9017 2022/08/02 10:01:38 - mmengine - INFO - Epoch(train) [43][800/1879] lr: 2.0000e-02 eta: 2 days, 3:23:09 time: 0.9413 data_time: 0.0291 memory: 11089 grad_norm: 4.0495 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0366 loss: 2.0366 2022/08/02 10:01:57 - mmengine - INFO - Epoch(train) [43][820/1879] lr: 2.0000e-02 eta: 2 days, 3:22:50 time: 0.9175 data_time: 0.0336 memory: 11089 grad_norm: 4.0266 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0042 loss: 2.0042 2022/08/02 10:02:15 - mmengine - INFO - Epoch(train) [43][840/1879] lr: 2.0000e-02 eta: 2 days, 3:22:33 time: 0.9275 data_time: 0.0255 memory: 11089 grad_norm: 3.8995 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9101 loss: 1.9101 2022/08/02 10:02:34 - mmengine - INFO - Epoch(train) [43][860/1879] lr: 2.0000e-02 eta: 2 days, 3:22:15 time: 0.9164 data_time: 0.0267 memory: 11089 grad_norm: 4.0514 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1923 loss: 2.1923 2022/08/02 10:02:52 - mmengine - INFO - Epoch(train) [43][880/1879] lr: 2.0000e-02 eta: 2 days, 3:21:56 time: 0.9080 data_time: 0.0299 memory: 11089 grad_norm: 4.0499 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8425 loss: 1.8425 2022/08/02 10:03:10 - mmengine - INFO - Epoch(train) [43][900/1879] lr: 2.0000e-02 eta: 2 days, 3:21:37 time: 0.9128 data_time: 0.0318 memory: 11089 grad_norm: 4.0039 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0722 loss: 2.0722 2022/08/02 10:03:28 - mmengine - INFO - Epoch(train) [43][920/1879] lr: 2.0000e-02 eta: 2 days, 3:21:19 time: 0.9174 data_time: 0.0258 memory: 11089 grad_norm: 3.9401 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0449 loss: 2.0449 2022/08/02 10:03:47 - mmengine - INFO - Epoch(train) [43][940/1879] lr: 2.0000e-02 eta: 2 days, 3:21:01 time: 0.9187 data_time: 0.0248 memory: 11089 grad_norm: 3.9570 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0504 loss: 2.0504 2022/08/02 10:04:05 - mmengine - INFO - Epoch(train) [43][960/1879] lr: 2.0000e-02 eta: 2 days, 3:20:44 time: 0.9354 data_time: 0.0278 memory: 11089 grad_norm: 3.9465 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8658 loss: 1.8658 2022/08/02 10:04:24 - mmengine - INFO - Epoch(train) [43][980/1879] lr: 2.0000e-02 eta: 2 days, 3:20:26 time: 0.9245 data_time: 0.0253 memory: 11089 grad_norm: 3.9796 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9929 loss: 1.9929 2022/08/02 10:04:42 - mmengine - INFO - Epoch(train) [43][1000/1879] lr: 2.0000e-02 eta: 2 days, 3:20:08 time: 0.9103 data_time: 0.0272 memory: 11089 grad_norm: 4.0054 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1919 loss: 2.1919 2022/08/02 10:05:00 - mmengine - INFO - Epoch(train) [43][1020/1879] lr: 2.0000e-02 eta: 2 days, 3:19:49 time: 0.9159 data_time: 0.0251 memory: 11089 grad_norm: 3.9489 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0014 loss: 2.0014 2022/08/02 10:05:19 - mmengine - INFO - Epoch(train) [43][1040/1879] lr: 2.0000e-02 eta: 2 days, 3:19:31 time: 0.9262 data_time: 0.0271 memory: 11089 grad_norm: 4.0420 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1447 loss: 2.1447 2022/08/02 10:05:38 - mmengine - INFO - Epoch(train) [43][1060/1879] lr: 2.0000e-02 eta: 2 days, 3:19:14 time: 0.9377 data_time: 0.0319 memory: 11089 grad_norm: 3.9877 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8268 loss: 1.8268 2022/08/02 10:05:56 - mmengine - INFO - Epoch(train) [43][1080/1879] lr: 2.0000e-02 eta: 2 days, 3:18:56 time: 0.9240 data_time: 0.0249 memory: 11089 grad_norm: 4.0178 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0031 loss: 2.0031 2022/08/02 10:05:58 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 10:06:15 - mmengine - INFO - Epoch(train) [43][1100/1879] lr: 2.0000e-02 eta: 2 days, 3:18:39 time: 0.9258 data_time: 0.0264 memory: 11089 grad_norm: 4.0839 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9284 loss: 1.9284 2022/08/02 10:06:33 - mmengine - INFO - Epoch(train) [43][1120/1879] lr: 2.0000e-02 eta: 2 days, 3:18:22 time: 0.9379 data_time: 0.0293 memory: 11089 grad_norm: 4.0567 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8524 loss: 1.8524 2022/08/02 10:06:51 - mmengine - INFO - Epoch(train) [43][1140/1879] lr: 2.0000e-02 eta: 2 days, 3:18:02 time: 0.8971 data_time: 0.0251 memory: 11089 grad_norm: 3.9495 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8922 loss: 1.8922 2022/08/02 10:07:10 - mmengine - INFO - Epoch(train) [43][1160/1879] lr: 2.0000e-02 eta: 2 days, 3:17:44 time: 0.9128 data_time: 0.0238 memory: 11089 grad_norm: 3.9266 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1604 loss: 2.1604 2022/08/02 10:07:28 - mmengine - INFO - Epoch(train) [43][1180/1879] lr: 2.0000e-02 eta: 2 days, 3:17:26 time: 0.9305 data_time: 0.0275 memory: 11089 grad_norm: 3.9589 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1317 loss: 2.1317 2022/08/02 10:07:46 - mmengine - INFO - Epoch(train) [43][1200/1879] lr: 2.0000e-02 eta: 2 days, 3:17:08 time: 0.9091 data_time: 0.0271 memory: 11089 grad_norm: 3.8825 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9292 loss: 1.9292 2022/08/02 10:08:05 - mmengine - INFO - Epoch(train) [43][1220/1879] lr: 2.0000e-02 eta: 2 days, 3:16:50 time: 0.9190 data_time: 0.0291 memory: 11089 grad_norm: 3.9765 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8323 loss: 1.8323 2022/08/02 10:08:23 - mmengine - INFO - Epoch(train) [43][1240/1879] lr: 2.0000e-02 eta: 2 days, 3:16:31 time: 0.9027 data_time: 0.0248 memory: 11089 grad_norm: 3.8587 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8692 loss: 1.8692 2022/08/02 10:08:41 - mmengine - INFO - Epoch(train) [43][1260/1879] lr: 2.0000e-02 eta: 2 days, 3:16:12 time: 0.9138 data_time: 0.0280 memory: 11089 grad_norm: 3.9005 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0373 loss: 2.0373 2022/08/02 10:08:59 - mmengine - INFO - Epoch(train) [43][1280/1879] lr: 2.0000e-02 eta: 2 days, 3:15:53 time: 0.8970 data_time: 0.0261 memory: 11089 grad_norm: 3.9781 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0136 loss: 2.0136 2022/08/02 10:09:18 - mmengine - INFO - Epoch(train) [43][1300/1879] lr: 2.0000e-02 eta: 2 days, 3:15:35 time: 0.9220 data_time: 0.0282 memory: 11089 grad_norm: 3.9186 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.8733 loss: 1.8733 2022/08/02 10:09:36 - mmengine - INFO - Epoch(train) [43][1320/1879] lr: 2.0000e-02 eta: 2 days, 3:15:17 time: 0.9122 data_time: 0.0276 memory: 11089 grad_norm: 3.9331 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9386 loss: 1.9386 2022/08/02 10:09:54 - mmengine - INFO - Epoch(train) [43][1340/1879] lr: 2.0000e-02 eta: 2 days, 3:14:58 time: 0.9072 data_time: 0.0244 memory: 11089 grad_norm: 3.9597 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9729 loss: 1.9729 2022/08/02 10:10:12 - mmengine - INFO - Epoch(train) [43][1360/1879] lr: 2.0000e-02 eta: 2 days, 3:14:39 time: 0.9030 data_time: 0.0263 memory: 11089 grad_norm: 3.9356 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2496 loss: 2.2496 2022/08/02 10:10:30 - mmengine - INFO - Epoch(train) [43][1380/1879] lr: 2.0000e-02 eta: 2 days, 3:14:21 time: 0.9155 data_time: 0.0235 memory: 11089 grad_norm: 3.9290 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0452 loss: 2.0452 2022/08/02 10:10:49 - mmengine - INFO - Epoch(train) [43][1400/1879] lr: 2.0000e-02 eta: 2 days, 3:14:03 time: 0.9320 data_time: 0.0299 memory: 11089 grad_norm: 3.8908 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.0679 loss: 2.0679 2022/08/02 10:11:07 - mmengine - INFO - Epoch(train) [43][1420/1879] lr: 2.0000e-02 eta: 2 days, 3:13:46 time: 0.9269 data_time: 0.0291 memory: 11089 grad_norm: 3.9138 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8497 loss: 1.8497 2022/08/02 10:11:26 - mmengine - INFO - Epoch(train) [43][1440/1879] lr: 2.0000e-02 eta: 2 days, 3:13:27 time: 0.9139 data_time: 0.0291 memory: 11089 grad_norm: 4.0144 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9927 loss: 1.9927 2022/08/02 10:11:44 - mmengine - INFO - Epoch(train) [43][1460/1879] lr: 2.0000e-02 eta: 2 days, 3:13:10 time: 0.9275 data_time: 0.0305 memory: 11089 grad_norm: 3.8820 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0430 loss: 2.0430 2022/08/02 10:12:03 - mmengine - INFO - Epoch(train) [43][1480/1879] lr: 2.0000e-02 eta: 2 days, 3:12:51 time: 0.9201 data_time: 0.0284 memory: 11089 grad_norm: 4.0208 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9171 loss: 1.9171 2022/08/02 10:12:21 - mmengine - INFO - Epoch(train) [43][1500/1879] lr: 2.0000e-02 eta: 2 days, 3:12:34 time: 0.9263 data_time: 0.0271 memory: 11089 grad_norm: 3.9605 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1196 loss: 2.1196 2022/08/02 10:12:40 - mmengine - INFO - Epoch(train) [43][1520/1879] lr: 2.0000e-02 eta: 2 days, 3:12:17 time: 0.9428 data_time: 0.0270 memory: 11089 grad_norm: 3.8804 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0246 loss: 2.0246 2022/08/02 10:12:59 - mmengine - INFO - Epoch(train) [43][1540/1879] lr: 2.0000e-02 eta: 2 days, 3:11:59 time: 0.9307 data_time: 0.0289 memory: 11089 grad_norm: 3.9519 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0533 loss: 2.0533 2022/08/02 10:13:18 - mmengine - INFO - Epoch(train) [43][1560/1879] lr: 2.0000e-02 eta: 2 days, 3:11:42 time: 0.9457 data_time: 0.0331 memory: 11089 grad_norm: 3.9457 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7101 loss: 1.7101 2022/08/02 10:13:36 - mmengine - INFO - Epoch(train) [43][1580/1879] lr: 2.0000e-02 eta: 2 days, 3:11:24 time: 0.9108 data_time: 0.0220 memory: 11089 grad_norm: 3.8957 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8497 loss: 1.8497 2022/08/02 10:13:54 - mmengine - INFO - Epoch(train) [43][1600/1879] lr: 2.0000e-02 eta: 2 days, 3:11:05 time: 0.9118 data_time: 0.0286 memory: 11089 grad_norm: 4.0266 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9697 loss: 1.9697 2022/08/02 10:14:12 - mmengine - INFO - Epoch(train) [43][1620/1879] lr: 2.0000e-02 eta: 2 days, 3:10:47 time: 0.9043 data_time: 0.0201 memory: 11089 grad_norm: 3.9342 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7945 loss: 1.7945 2022/08/02 10:14:31 - mmengine - INFO - Epoch(train) [43][1640/1879] lr: 2.0000e-02 eta: 2 days, 3:10:28 time: 0.9158 data_time: 0.0278 memory: 11089 grad_norm: 3.9093 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0447 loss: 2.0447 2022/08/02 10:14:50 - mmengine - INFO - Epoch(train) [43][1660/1879] lr: 2.0000e-02 eta: 2 days, 3:10:12 time: 0.9525 data_time: 0.0370 memory: 11089 grad_norm: 3.8907 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0515 loss: 2.0515 2022/08/02 10:15:08 - mmengine - INFO - Epoch(train) [43][1680/1879] lr: 2.0000e-02 eta: 2 days, 3:09:54 time: 0.9318 data_time: 0.0350 memory: 11089 grad_norm: 4.0008 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0766 loss: 2.0766 2022/08/02 10:15:27 - mmengine - INFO - Epoch(train) [43][1700/1879] lr: 2.0000e-02 eta: 2 days, 3:09:37 time: 0.9399 data_time: 0.0358 memory: 11089 grad_norm: 3.8988 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9925 loss: 1.9925 2022/08/02 10:15:46 - mmengine - INFO - Epoch(train) [43][1720/1879] lr: 2.0000e-02 eta: 2 days, 3:09:20 time: 0.9272 data_time: 0.0326 memory: 11089 grad_norm: 3.9985 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8801 loss: 1.8801 2022/08/02 10:16:04 - mmengine - INFO - Epoch(train) [43][1740/1879] lr: 2.0000e-02 eta: 2 days, 3:09:01 time: 0.9151 data_time: 0.0266 memory: 11089 grad_norm: 3.8678 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9859 loss: 1.9859 2022/08/02 10:16:22 - mmengine - INFO - Epoch(train) [43][1760/1879] lr: 2.0000e-02 eta: 2 days, 3:08:43 time: 0.9123 data_time: 0.0334 memory: 11089 grad_norm: 3.9942 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8024 loss: 1.8024 2022/08/02 10:16:40 - mmengine - INFO - Epoch(train) [43][1780/1879] lr: 2.0000e-02 eta: 2 days, 3:08:24 time: 0.8967 data_time: 0.0218 memory: 11089 grad_norm: 3.9363 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1283 loss: 2.1283 2022/08/02 10:16:58 - mmengine - INFO - Epoch(train) [43][1800/1879] lr: 2.0000e-02 eta: 2 days, 3:08:06 time: 0.9203 data_time: 0.0214 memory: 11089 grad_norm: 3.9094 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1340 loss: 2.1340 2022/08/02 10:17:17 - mmengine - INFO - Epoch(train) [43][1820/1879] lr: 2.0000e-02 eta: 2 days, 3:07:48 time: 0.9394 data_time: 0.0303 memory: 11089 grad_norm: 3.9277 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8441 loss: 1.8441 2022/08/02 10:17:35 - mmengine - INFO - Epoch(train) [43][1840/1879] lr: 2.0000e-02 eta: 2 days, 3:07:30 time: 0.9093 data_time: 0.0231 memory: 11089 grad_norm: 3.9157 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8100 loss: 1.8100 2022/08/02 10:17:53 - mmengine - INFO - Epoch(train) [43][1860/1879] lr: 2.0000e-02 eta: 2 days, 3:07:11 time: 0.8970 data_time: 0.0213 memory: 11089 grad_norm: 4.0381 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9391 loss: 1.9391 2022/08/02 10:18:10 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 10:18:10 - mmengine - INFO - Epoch(train) [43][1879/1879] lr: 2.0000e-02 eta: 2 days, 3:07:11 time: 0.8995 data_time: 0.0316 memory: 11089 grad_norm: 3.9674 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.9069 loss: 1.9069 2022/08/02 10:18:31 - mmengine - INFO - Epoch(train) [44][20/1879] lr: 2.0000e-02 eta: 2 days, 3:05:56 time: 1.0082 data_time: 0.1268 memory: 11089 grad_norm: 3.8644 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9165 loss: 1.9165 2022/08/02 10:18:49 - mmengine - INFO - Epoch(train) [44][40/1879] lr: 2.0000e-02 eta: 2 days, 3:05:38 time: 0.9223 data_time: 0.0249 memory: 11089 grad_norm: 3.9349 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8533 loss: 1.8533 2022/08/02 10:19:07 - mmengine - INFO - Epoch(train) [44][60/1879] lr: 2.0000e-02 eta: 2 days, 3:05:20 time: 0.9104 data_time: 0.0296 memory: 11089 grad_norm: 3.9799 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8458 loss: 1.8458 2022/08/02 10:19:26 - mmengine - INFO - Epoch(train) [44][80/1879] lr: 2.0000e-02 eta: 2 days, 3:05:03 time: 0.9342 data_time: 0.0330 memory: 11089 grad_norm: 4.0408 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0454 loss: 2.0454 2022/08/02 10:19:45 - mmengine - INFO - Epoch(train) [44][100/1879] lr: 2.0000e-02 eta: 2 days, 3:04:45 time: 0.9368 data_time: 0.0323 memory: 11089 grad_norm: 3.9480 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7530 loss: 1.7530 2022/08/02 10:20:03 - mmengine - INFO - Epoch(train) [44][120/1879] lr: 2.0000e-02 eta: 2 days, 3:04:26 time: 0.9014 data_time: 0.0237 memory: 11089 grad_norm: 3.9006 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0657 loss: 2.0657 2022/08/02 10:20:21 - mmengine - INFO - Epoch(train) [44][140/1879] lr: 2.0000e-02 eta: 2 days, 3:04:08 time: 0.9226 data_time: 0.0304 memory: 11089 grad_norm: 4.0103 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9386 loss: 1.9386 2022/08/02 10:20:40 - mmengine - INFO - Epoch(train) [44][160/1879] lr: 2.0000e-02 eta: 2 days, 3:03:51 time: 0.9309 data_time: 0.0370 memory: 11089 grad_norm: 3.9604 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9632 loss: 1.9632 2022/08/02 10:20:58 - mmengine - INFO - Epoch(train) [44][180/1879] lr: 2.0000e-02 eta: 2 days, 3:03:33 time: 0.9150 data_time: 0.0263 memory: 11089 grad_norm: 3.9835 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8480 loss: 1.8480 2022/08/02 10:21:17 - mmengine - INFO - Epoch(train) [44][200/1879] lr: 2.0000e-02 eta: 2 days, 3:03:15 time: 0.9325 data_time: 0.0324 memory: 11089 grad_norm: 4.0071 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1420 loss: 2.1420 2022/08/02 10:21:20 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 10:21:36 - mmengine - INFO - Epoch(train) [44][220/1879] lr: 2.0000e-02 eta: 2 days, 3:02:59 time: 0.9508 data_time: 0.0318 memory: 11089 grad_norm: 3.9468 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9469 loss: 1.9469 2022/08/02 10:21:54 - mmengine - INFO - Epoch(train) [44][240/1879] lr: 2.0000e-02 eta: 2 days, 3:02:40 time: 0.9048 data_time: 0.0238 memory: 11089 grad_norm: 3.9703 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9097 loss: 1.9097 2022/08/02 10:22:12 - mmengine - INFO - Epoch(train) [44][260/1879] lr: 2.0000e-02 eta: 2 days, 3:02:22 time: 0.9281 data_time: 0.0252 memory: 11089 grad_norm: 3.8726 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8177 loss: 1.8177 2022/08/02 10:22:31 - mmengine - INFO - Epoch(train) [44][280/1879] lr: 2.0000e-02 eta: 2 days, 3:02:04 time: 0.9225 data_time: 0.0379 memory: 11089 grad_norm: 3.9308 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9747 loss: 1.9747 2022/08/02 10:22:50 - mmengine - INFO - Epoch(train) [44][300/1879] lr: 2.0000e-02 eta: 2 days, 3:01:47 time: 0.9366 data_time: 0.0339 memory: 11089 grad_norm: 3.8653 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9276 loss: 1.9276 2022/08/02 10:23:08 - mmengine - INFO - Epoch(train) [44][320/1879] lr: 2.0000e-02 eta: 2 days, 3:01:29 time: 0.9150 data_time: 0.0277 memory: 11089 grad_norm: 3.9004 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0207 loss: 2.0207 2022/08/02 10:23:26 - mmengine - INFO - Epoch(train) [44][340/1879] lr: 2.0000e-02 eta: 2 days, 3:01:11 time: 0.9199 data_time: 0.0279 memory: 11089 grad_norm: 3.9756 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8955 loss: 1.8955 2022/08/02 10:23:45 - mmengine - INFO - Epoch(train) [44][360/1879] lr: 2.0000e-02 eta: 2 days, 3:00:53 time: 0.9209 data_time: 0.0287 memory: 11089 grad_norm: 4.0193 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1197 loss: 2.1197 2022/08/02 10:24:03 - mmengine - INFO - Epoch(train) [44][380/1879] lr: 2.0000e-02 eta: 2 days, 3:00:35 time: 0.9220 data_time: 0.0290 memory: 11089 grad_norm: 3.8927 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0309 loss: 2.0309 2022/08/02 10:24:21 - mmengine - INFO - Epoch(train) [44][400/1879] lr: 2.0000e-02 eta: 2 days, 3:00:16 time: 0.9038 data_time: 0.0309 memory: 11089 grad_norm: 3.8361 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8697 loss: 1.8697 2022/08/02 10:24:40 - mmengine - INFO - Epoch(train) [44][420/1879] lr: 2.0000e-02 eta: 2 days, 2:59:58 time: 0.9281 data_time: 0.0274 memory: 11089 grad_norm: 3.9555 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0079 loss: 2.0079 2022/08/02 10:24:58 - mmengine - INFO - Epoch(train) [44][440/1879] lr: 2.0000e-02 eta: 2 days, 2:59:40 time: 0.9190 data_time: 0.0300 memory: 11089 grad_norm: 3.9599 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8435 loss: 1.8435 2022/08/02 10:25:17 - mmengine - INFO - Epoch(train) [44][460/1879] lr: 2.0000e-02 eta: 2 days, 2:59:22 time: 0.9291 data_time: 0.0281 memory: 11089 grad_norm: 3.9643 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8829 loss: 1.8829 2022/08/02 10:25:35 - mmengine - INFO - Epoch(train) [44][480/1879] lr: 2.0000e-02 eta: 2 days, 2:59:04 time: 0.9182 data_time: 0.0256 memory: 11089 grad_norm: 3.9061 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9245 loss: 1.9245 2022/08/02 10:25:53 - mmengine - INFO - Epoch(train) [44][500/1879] lr: 2.0000e-02 eta: 2 days, 2:58:46 time: 0.9108 data_time: 0.0237 memory: 11089 grad_norm: 3.9263 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9252 loss: 1.9252 2022/08/02 10:26:12 - mmengine - INFO - Epoch(train) [44][520/1879] lr: 2.0000e-02 eta: 2 days, 2:58:28 time: 0.9255 data_time: 0.0263 memory: 11089 grad_norm: 4.1001 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9071 loss: 1.9071 2022/08/02 10:26:31 - mmengine - INFO - Epoch(train) [44][540/1879] lr: 2.0000e-02 eta: 2 days, 2:58:11 time: 0.9373 data_time: 0.0359 memory: 11089 grad_norm: 3.8763 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8672 loss: 1.8672 2022/08/02 10:26:49 - mmengine - INFO - Epoch(train) [44][560/1879] lr: 2.0000e-02 eta: 2 days, 2:57:53 time: 0.9328 data_time: 0.0276 memory: 11089 grad_norm: 3.9389 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8137 loss: 1.8137 2022/08/02 10:27:08 - mmengine - INFO - Epoch(train) [44][580/1879] lr: 2.0000e-02 eta: 2 days, 2:57:35 time: 0.9206 data_time: 0.0288 memory: 11089 grad_norm: 4.1139 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8528 loss: 1.8528 2022/08/02 10:27:26 - mmengine - INFO - Epoch(train) [44][600/1879] lr: 2.0000e-02 eta: 2 days, 2:57:17 time: 0.9103 data_time: 0.0247 memory: 11089 grad_norm: 3.8918 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9019 loss: 1.9019 2022/08/02 10:27:44 - mmengine - INFO - Epoch(train) [44][620/1879] lr: 2.0000e-02 eta: 2 days, 2:56:59 time: 0.9211 data_time: 0.0309 memory: 11089 grad_norm: 3.8511 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9781 loss: 1.9781 2022/08/02 10:28:03 - mmengine - INFO - Epoch(train) [44][640/1879] lr: 2.0000e-02 eta: 2 days, 2:56:40 time: 0.9147 data_time: 0.0279 memory: 11089 grad_norm: 4.0163 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8531 loss: 1.8531 2022/08/02 10:28:21 - mmengine - INFO - Epoch(train) [44][660/1879] lr: 2.0000e-02 eta: 2 days, 2:56:22 time: 0.9135 data_time: 0.0271 memory: 11089 grad_norm: 3.8612 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8939 loss: 1.8939 2022/08/02 10:28:40 - mmengine - INFO - Epoch(train) [44][680/1879] lr: 2.0000e-02 eta: 2 days, 2:56:05 time: 0.9489 data_time: 0.0332 memory: 11089 grad_norm: 4.0485 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0095 loss: 2.0095 2022/08/02 10:28:59 - mmengine - INFO - Epoch(train) [44][700/1879] lr: 2.0000e-02 eta: 2 days, 2:55:48 time: 0.9425 data_time: 0.0287 memory: 11089 grad_norm: 4.0077 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0473 loss: 2.0473 2022/08/02 10:29:17 - mmengine - INFO - Epoch(train) [44][720/1879] lr: 2.0000e-02 eta: 2 days, 2:55:30 time: 0.9216 data_time: 0.0270 memory: 11089 grad_norm: 4.0536 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9432 loss: 1.9432 2022/08/02 10:29:36 - mmengine - INFO - Epoch(train) [44][740/1879] lr: 2.0000e-02 eta: 2 days, 2:55:12 time: 0.9207 data_time: 0.0322 memory: 11089 grad_norm: 4.0598 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9529 loss: 1.9529 2022/08/02 10:29:54 - mmengine - INFO - Epoch(train) [44][760/1879] lr: 2.0000e-02 eta: 2 days, 2:54:54 time: 0.9080 data_time: 0.0253 memory: 11089 grad_norm: 4.0707 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2298 loss: 2.2298 2022/08/02 10:30:12 - mmengine - INFO - Epoch(train) [44][780/1879] lr: 2.0000e-02 eta: 2 days, 2:54:36 time: 0.9324 data_time: 0.0282 memory: 11089 grad_norm: 3.9494 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9549 loss: 1.9549 2022/08/02 10:30:31 - mmengine - INFO - Epoch(train) [44][800/1879] lr: 2.0000e-02 eta: 2 days, 2:54:19 time: 0.9272 data_time: 0.0244 memory: 11089 grad_norm: 3.9828 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0254 loss: 2.0254 2022/08/02 10:30:50 - mmengine - INFO - Epoch(train) [44][820/1879] lr: 2.0000e-02 eta: 2 days, 2:54:01 time: 0.9271 data_time: 0.0293 memory: 11089 grad_norm: 3.9883 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.1056 loss: 2.1056 2022/08/02 10:31:08 - mmengine - INFO - Epoch(train) [44][840/1879] lr: 2.0000e-02 eta: 2 days, 2:53:44 time: 0.9416 data_time: 0.0294 memory: 11089 grad_norm: 3.9800 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8546 loss: 1.8546 2022/08/02 10:31:27 - mmengine - INFO - Epoch(train) [44][860/1879] lr: 2.0000e-02 eta: 2 days, 2:53:25 time: 0.9110 data_time: 0.0252 memory: 11089 grad_norm: 3.8709 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7849 loss: 1.7849 2022/08/02 10:31:45 - mmengine - INFO - Epoch(train) [44][880/1879] lr: 2.0000e-02 eta: 2 days, 2:53:08 time: 0.9266 data_time: 0.0339 memory: 11089 grad_norm: 3.8474 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8217 loss: 1.8217 2022/08/02 10:32:03 - mmengine - INFO - Epoch(train) [44][900/1879] lr: 2.0000e-02 eta: 2 days, 2:52:49 time: 0.9166 data_time: 0.0293 memory: 11089 grad_norm: 3.8697 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9431 loss: 1.9431 2022/08/02 10:32:22 - mmengine - INFO - Epoch(train) [44][920/1879] lr: 2.0000e-02 eta: 2 days, 2:52:31 time: 0.9193 data_time: 0.0250 memory: 11089 grad_norm: 3.8985 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8235 loss: 1.8235 2022/08/02 10:32:40 - mmengine - INFO - Epoch(train) [44][940/1879] lr: 2.0000e-02 eta: 2 days, 2:52:13 time: 0.9249 data_time: 0.0254 memory: 11089 grad_norm: 3.9377 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8963 loss: 1.8963 2022/08/02 10:32:58 - mmengine - INFO - Epoch(train) [44][960/1879] lr: 2.0000e-02 eta: 2 days, 2:51:55 time: 0.9037 data_time: 0.0256 memory: 11089 grad_norm: 3.9370 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9282 loss: 1.9282 2022/08/02 10:33:17 - mmengine - INFO - Epoch(train) [44][980/1879] lr: 2.0000e-02 eta: 2 days, 2:51:37 time: 0.9235 data_time: 0.0367 memory: 11089 grad_norm: 3.9926 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9942 loss: 1.9942 2022/08/02 10:33:36 - mmengine - INFO - Epoch(train) [44][1000/1879] lr: 2.0000e-02 eta: 2 days, 2:51:19 time: 0.9371 data_time: 0.0270 memory: 11089 grad_norm: 3.9335 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8897 loss: 1.8897 2022/08/02 10:33:54 - mmengine - INFO - Epoch(train) [44][1020/1879] lr: 2.0000e-02 eta: 2 days, 2:51:01 time: 0.9092 data_time: 0.0239 memory: 11089 grad_norm: 3.9050 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8814 loss: 1.8814 2022/08/02 10:34:13 - mmengine - INFO - Epoch(train) [44][1040/1879] lr: 2.0000e-02 eta: 2 days, 2:50:44 time: 0.9395 data_time: 0.0303 memory: 11089 grad_norm: 3.9283 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7884 loss: 1.7884 2022/08/02 10:34:31 - mmengine - INFO - Epoch(train) [44][1060/1879] lr: 2.0000e-02 eta: 2 days, 2:50:25 time: 0.9100 data_time: 0.0340 memory: 11089 grad_norm: 3.9762 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0222 loss: 2.0222 2022/08/02 10:34:50 - mmengine - INFO - Epoch(train) [44][1080/1879] lr: 2.0000e-02 eta: 2 days, 2:50:08 time: 0.9466 data_time: 0.0287 memory: 11089 grad_norm: 3.9975 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8576 loss: 1.8576 2022/08/02 10:35:08 - mmengine - INFO - Epoch(train) [44][1100/1879] lr: 2.0000e-02 eta: 2 days, 2:49:50 time: 0.9083 data_time: 0.0252 memory: 11089 grad_norm: 4.0236 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9966 loss: 1.9966 2022/08/02 10:35:26 - mmengine - INFO - Epoch(train) [44][1120/1879] lr: 2.0000e-02 eta: 2 days, 2:49:32 time: 0.9204 data_time: 0.0282 memory: 11089 grad_norm: 3.8581 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8213 loss: 1.8213 2022/08/02 10:35:45 - mmengine - INFO - Epoch(train) [44][1140/1879] lr: 2.0000e-02 eta: 2 days, 2:49:14 time: 0.9225 data_time: 0.0235 memory: 11089 grad_norm: 3.9477 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0267 loss: 2.0267 2022/08/02 10:36:03 - mmengine - INFO - Epoch(train) [44][1160/1879] lr: 2.0000e-02 eta: 2 days, 2:48:56 time: 0.9287 data_time: 0.0350 memory: 11089 grad_norm: 3.8545 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9338 loss: 1.9338 2022/08/02 10:36:22 - mmengine - INFO - Epoch(train) [44][1180/1879] lr: 2.0000e-02 eta: 2 days, 2:48:39 time: 0.9323 data_time: 0.0274 memory: 11089 grad_norm: 3.9289 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8098 loss: 1.8098 2022/08/02 10:36:40 - mmengine - INFO - Epoch(train) [44][1200/1879] lr: 2.0000e-02 eta: 2 days, 2:48:19 time: 0.8941 data_time: 0.0352 memory: 11089 grad_norm: 3.9529 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8309 loss: 1.8309 2022/08/02 10:36:43 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 10:36:58 - mmengine - INFO - Epoch(train) [44][1220/1879] lr: 2.0000e-02 eta: 2 days, 2:48:01 time: 0.9236 data_time: 0.0221 memory: 11089 grad_norm: 3.9976 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8746 loss: 1.8746 2022/08/02 10:37:17 - mmengine - INFO - Epoch(train) [44][1240/1879] lr: 2.0000e-02 eta: 2 days, 2:47:43 time: 0.9087 data_time: 0.0236 memory: 11089 grad_norm: 3.9849 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1167 loss: 2.1167 2022/08/02 10:37:35 - mmengine - INFO - Epoch(train) [44][1260/1879] lr: 2.0000e-02 eta: 2 days, 2:47:25 time: 0.9199 data_time: 0.0266 memory: 11089 grad_norm: 3.9157 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9986 loss: 1.9986 2022/08/02 10:37:53 - mmengine - INFO - Epoch(train) [44][1280/1879] lr: 2.0000e-02 eta: 2 days, 2:47:06 time: 0.9044 data_time: 0.0283 memory: 11089 grad_norm: 3.9091 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7927 loss: 1.7927 2022/08/02 10:38:12 - mmengine - INFO - Epoch(train) [44][1300/1879] lr: 2.0000e-02 eta: 2 days, 2:46:48 time: 0.9237 data_time: 0.0273 memory: 11089 grad_norm: 3.9464 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9419 loss: 1.9419 2022/08/02 10:38:30 - mmengine - INFO - Epoch(train) [44][1320/1879] lr: 2.0000e-02 eta: 2 days, 2:46:29 time: 0.9096 data_time: 0.0304 memory: 11089 grad_norm: 4.1252 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8967 loss: 1.8967 2022/08/02 10:38:48 - mmengine - INFO - Epoch(train) [44][1340/1879] lr: 2.0000e-02 eta: 2 days, 2:46:11 time: 0.9089 data_time: 0.0214 memory: 11089 grad_norm: 3.8724 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0062 loss: 2.0062 2022/08/02 10:39:06 - mmengine - INFO - Epoch(train) [44][1360/1879] lr: 2.0000e-02 eta: 2 days, 2:45:52 time: 0.9086 data_time: 0.0254 memory: 11089 grad_norm: 3.9023 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8370 loss: 1.8370 2022/08/02 10:39:24 - mmengine - INFO - Epoch(train) [44][1380/1879] lr: 2.0000e-02 eta: 2 days, 2:45:34 time: 0.9079 data_time: 0.0297 memory: 11089 grad_norm: 4.0485 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8521 loss: 1.8521 2022/08/02 10:39:42 - mmengine - INFO - Epoch(train) [44][1400/1879] lr: 2.0000e-02 eta: 2 days, 2:45:15 time: 0.9002 data_time: 0.0261 memory: 11089 grad_norm: 4.0263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9558 loss: 1.9558 2022/08/02 10:40:00 - mmengine - INFO - Epoch(train) [44][1420/1879] lr: 2.0000e-02 eta: 2 days, 2:44:56 time: 0.9008 data_time: 0.0276 memory: 11089 grad_norm: 3.9471 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0709 loss: 2.0709 2022/08/02 10:40:18 - mmengine - INFO - Epoch(train) [44][1440/1879] lr: 2.0000e-02 eta: 2 days, 2:44:37 time: 0.9108 data_time: 0.0265 memory: 11089 grad_norm: 3.9056 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0217 loss: 2.0217 2022/08/02 10:40:37 - mmengine - INFO - Epoch(train) [44][1460/1879] lr: 2.0000e-02 eta: 2 days, 2:44:19 time: 0.9142 data_time: 0.0227 memory: 11089 grad_norm: 4.0317 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7827 loss: 1.7827 2022/08/02 10:40:55 - mmengine - INFO - Epoch(train) [44][1480/1879] lr: 2.0000e-02 eta: 2 days, 2:44:01 time: 0.9239 data_time: 0.0262 memory: 11089 grad_norm: 4.0557 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0933 loss: 2.0933 2022/08/02 10:41:13 - mmengine - INFO - Epoch(train) [44][1500/1879] lr: 2.0000e-02 eta: 2 days, 2:43:42 time: 0.9037 data_time: 0.0252 memory: 11089 grad_norm: 3.9427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9063 loss: 1.9063 2022/08/02 10:41:31 - mmengine - INFO - Epoch(train) [44][1520/1879] lr: 2.0000e-02 eta: 2 days, 2:43:23 time: 0.9032 data_time: 0.0242 memory: 11089 grad_norm: 3.9872 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0322 loss: 2.0322 2022/08/02 10:41:50 - mmengine - INFO - Epoch(train) [44][1540/1879] lr: 2.0000e-02 eta: 2 days, 2:43:05 time: 0.9120 data_time: 0.0225 memory: 11089 grad_norm: 3.9583 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8922 loss: 1.8922 2022/08/02 10:42:08 - mmengine - INFO - Epoch(train) [44][1560/1879] lr: 2.0000e-02 eta: 2 days, 2:42:46 time: 0.9050 data_time: 0.0295 memory: 11089 grad_norm: 4.0177 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2047 loss: 2.2047 2022/08/02 10:42:26 - mmengine - INFO - Epoch(train) [44][1580/1879] lr: 2.0000e-02 eta: 2 days, 2:42:27 time: 0.9063 data_time: 0.0274 memory: 11089 grad_norm: 3.8377 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9201 loss: 1.9201 2022/08/02 10:42:44 - mmengine - INFO - Epoch(train) [44][1600/1879] lr: 2.0000e-02 eta: 2 days, 2:42:09 time: 0.9266 data_time: 0.0342 memory: 11089 grad_norm: 4.0154 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9907 loss: 1.9907 2022/08/02 10:43:03 - mmengine - INFO - Epoch(train) [44][1620/1879] lr: 2.0000e-02 eta: 2 days, 2:41:52 time: 0.9328 data_time: 0.0284 memory: 11089 grad_norm: 3.8566 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8689 loss: 1.8689 2022/08/02 10:43:22 - mmengine - INFO - Epoch(train) [44][1640/1879] lr: 2.0000e-02 eta: 2 days, 2:41:34 time: 0.9304 data_time: 0.0267 memory: 11089 grad_norm: 3.9428 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7288 loss: 1.7288 2022/08/02 10:43:40 - mmengine - INFO - Epoch(train) [44][1660/1879] lr: 2.0000e-02 eta: 2 days, 2:41:17 time: 0.9266 data_time: 0.0251 memory: 11089 grad_norm: 4.0337 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0300 loss: 2.0300 2022/08/02 10:43:58 - mmengine - INFO - Epoch(train) [44][1680/1879] lr: 2.0000e-02 eta: 2 days, 2:40:58 time: 0.9070 data_time: 0.0260 memory: 11089 grad_norm: 3.9252 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8739 loss: 1.8739 2022/08/02 10:44:16 - mmengine - INFO - Epoch(train) [44][1700/1879] lr: 2.0000e-02 eta: 2 days, 2:40:39 time: 0.8996 data_time: 0.0292 memory: 11089 grad_norm: 3.8936 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7850 loss: 1.7850 2022/08/02 10:44:34 - mmengine - INFO - Epoch(train) [44][1720/1879] lr: 2.0000e-02 eta: 2 days, 2:40:20 time: 0.9061 data_time: 0.0244 memory: 11089 grad_norm: 4.0101 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9272 loss: 1.9272 2022/08/02 10:44:53 - mmengine - INFO - Epoch(train) [44][1740/1879] lr: 2.0000e-02 eta: 2 days, 2:40:03 time: 0.9372 data_time: 0.0225 memory: 11089 grad_norm: 3.9820 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7849 loss: 1.7849 2022/08/02 10:45:12 - mmengine - INFO - Epoch(train) [44][1760/1879] lr: 2.0000e-02 eta: 2 days, 2:39:45 time: 0.9157 data_time: 0.0262 memory: 11089 grad_norm: 3.9486 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9119 loss: 1.9119 2022/08/02 10:45:30 - mmengine - INFO - Epoch(train) [44][1780/1879] lr: 2.0000e-02 eta: 2 days, 2:39:27 time: 0.9303 data_time: 0.0299 memory: 11089 grad_norm: 3.9130 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9363 loss: 1.9363 2022/08/02 10:45:48 - mmengine - INFO - Epoch(train) [44][1800/1879] lr: 2.0000e-02 eta: 2 days, 2:39:08 time: 0.9090 data_time: 0.0237 memory: 11089 grad_norm: 3.9589 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8049 loss: 1.8049 2022/08/02 10:46:07 - mmengine - INFO - Epoch(train) [44][1820/1879] lr: 2.0000e-02 eta: 2 days, 2:38:50 time: 0.9195 data_time: 0.0223 memory: 11089 grad_norm: 3.9819 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8845 loss: 1.8845 2022/08/02 10:46:25 - mmengine - INFO - Epoch(train) [44][1840/1879] lr: 2.0000e-02 eta: 2 days, 2:38:32 time: 0.9185 data_time: 0.0230 memory: 11089 grad_norm: 4.0408 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0608 loss: 2.0608 2022/08/02 10:46:44 - mmengine - INFO - Epoch(train) [44][1860/1879] lr: 2.0000e-02 eta: 2 days, 2:38:15 time: 0.9304 data_time: 0.0263 memory: 11089 grad_norm: 3.9718 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9499 loss: 1.9499 2022/08/02 10:47:01 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 10:47:01 - mmengine - INFO - Epoch(train) [44][1879/1879] lr: 2.0000e-02 eta: 2 days, 2:38:15 time: 0.8948 data_time: 0.0220 memory: 11089 grad_norm: 4.0032 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.9622 loss: 1.9622 2022/08/02 10:47:01 - mmengine - INFO - Saving checkpoint at 44 epochs 2022/08/02 10:47:24 - mmengine - INFO - Epoch(train) [45][20/1879] lr: 2.0000e-02 eta: 2 days, 2:37:01 time: 1.0032 data_time: 0.1180 memory: 11089 grad_norm: 3.8777 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8846 loss: 1.8846 2022/08/02 10:47:42 - mmengine - INFO - Epoch(train) [45][40/1879] lr: 2.0000e-02 eta: 2 days, 2:36:43 time: 0.9219 data_time: 0.0247 memory: 11089 grad_norm: 3.9381 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8147 loss: 1.8147 2022/08/02 10:48:01 - mmengine - INFO - Epoch(train) [45][60/1879] lr: 2.0000e-02 eta: 2 days, 2:36:26 time: 0.9424 data_time: 0.0345 memory: 11089 grad_norm: 3.9135 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8946 loss: 1.8946 2022/08/02 10:48:19 - mmengine - INFO - Epoch(train) [45][80/1879] lr: 2.0000e-02 eta: 2 days, 2:36:08 time: 0.9109 data_time: 0.0289 memory: 11089 grad_norm: 3.9701 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.8812 loss: 1.8812 2022/08/02 10:48:37 - mmengine - INFO - Epoch(train) [45][100/1879] lr: 2.0000e-02 eta: 2 days, 2:35:49 time: 0.9047 data_time: 0.0251 memory: 11089 grad_norm: 3.9383 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0274 loss: 2.0274 2022/08/02 10:48:55 - mmengine - INFO - Epoch(train) [45][120/1879] lr: 2.0000e-02 eta: 2 days, 2:35:30 time: 0.9074 data_time: 0.0313 memory: 11089 grad_norm: 3.8999 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8819 loss: 1.8819 2022/08/02 10:49:14 - mmengine - INFO - Epoch(train) [45][140/1879] lr: 2.0000e-02 eta: 2 days, 2:35:13 time: 0.9285 data_time: 0.0322 memory: 11089 grad_norm: 3.8730 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9783 loss: 1.9783 2022/08/02 10:49:33 - mmengine - INFO - Epoch(train) [45][160/1879] lr: 2.0000e-02 eta: 2 days, 2:34:57 time: 0.9662 data_time: 0.0390 memory: 11089 grad_norm: 3.9784 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8795 loss: 1.8795 2022/08/02 10:49:52 - mmengine - INFO - Epoch(train) [45][180/1879] lr: 2.0000e-02 eta: 2 days, 2:34:39 time: 0.9302 data_time: 0.0344 memory: 11089 grad_norm: 3.9823 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9034 loss: 1.9034 2022/08/02 10:50:10 - mmengine - INFO - Epoch(train) [45][200/1879] lr: 2.0000e-02 eta: 2 days, 2:34:20 time: 0.8978 data_time: 0.0282 memory: 11089 grad_norm: 3.9990 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9977 loss: 1.9977 2022/08/02 10:50:28 - mmengine - INFO - Epoch(train) [45][220/1879] lr: 2.0000e-02 eta: 2 days, 2:34:01 time: 0.9009 data_time: 0.0279 memory: 11089 grad_norm: 4.0516 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9452 loss: 1.9452 2022/08/02 10:50:47 - mmengine - INFO - Epoch(train) [45][240/1879] lr: 2.0000e-02 eta: 2 days, 2:33:44 time: 0.9389 data_time: 0.0352 memory: 11089 grad_norm: 3.9359 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9946 loss: 1.9946 2022/08/02 10:51:05 - mmengine - INFO - Epoch(train) [45][260/1879] lr: 2.0000e-02 eta: 2 days, 2:33:27 time: 0.9409 data_time: 0.0324 memory: 11089 grad_norm: 3.9915 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8954 loss: 1.8954 2022/08/02 10:51:24 - mmengine - INFO - Epoch(train) [45][280/1879] lr: 2.0000e-02 eta: 2 days, 2:33:09 time: 0.9133 data_time: 0.0329 memory: 11089 grad_norm: 3.8959 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1187 loss: 2.1187 2022/08/02 10:51:42 - mmengine - INFO - Epoch(train) [45][300/1879] lr: 2.0000e-02 eta: 2 days, 2:32:50 time: 0.9032 data_time: 0.0268 memory: 11089 grad_norm: 3.9128 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0068 loss: 2.0068 2022/08/02 10:52:00 - mmengine - INFO - Epoch(train) [45][320/1879] lr: 2.0000e-02 eta: 2 days, 2:32:32 time: 0.9308 data_time: 0.0252 memory: 11089 grad_norm: 4.0798 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9703 loss: 1.9703 2022/08/02 10:52:04 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 10:52:18 - mmengine - INFO - Epoch(train) [45][340/1879] lr: 2.0000e-02 eta: 2 days, 2:32:13 time: 0.8948 data_time: 0.0243 memory: 11089 grad_norm: 4.0755 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9792 loss: 1.9792 2022/08/02 10:52:36 - mmengine - INFO - Epoch(train) [45][360/1879] lr: 2.0000e-02 eta: 2 days, 2:31:52 time: 0.8652 data_time: 0.0218 memory: 11089 grad_norm: 3.9531 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9393 loss: 1.9393 2022/08/02 10:52:54 - mmengine - INFO - Epoch(train) [45][380/1879] lr: 2.0000e-02 eta: 2 days, 2:31:34 time: 0.9181 data_time: 0.0227 memory: 11089 grad_norm: 4.0521 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9714 loss: 1.9714 2022/08/02 10:53:13 - mmengine - INFO - Epoch(train) [45][400/1879] lr: 2.0000e-02 eta: 2 days, 2:31:17 time: 0.9399 data_time: 0.0330 memory: 11089 grad_norm: 3.9872 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8412 loss: 1.8412 2022/08/02 10:53:31 - mmengine - INFO - Epoch(train) [45][420/1879] lr: 2.0000e-02 eta: 2 days, 2:30:59 time: 0.9310 data_time: 0.0297 memory: 11089 grad_norm: 3.9936 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0525 loss: 2.0525 2022/08/02 10:53:50 - mmengine - INFO - Epoch(train) [45][440/1879] lr: 2.0000e-02 eta: 2 days, 2:30:41 time: 0.9175 data_time: 0.0324 memory: 11089 grad_norm: 4.0127 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9006 loss: 1.9006 2022/08/02 10:54:08 - mmengine - INFO - Epoch(train) [45][460/1879] lr: 2.0000e-02 eta: 2 days, 2:30:24 time: 0.9356 data_time: 0.0342 memory: 11089 grad_norm: 4.0104 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8555 loss: 1.8555 2022/08/02 10:54:26 - mmengine - INFO - Epoch(train) [45][480/1879] lr: 2.0000e-02 eta: 2 days, 2:30:05 time: 0.9055 data_time: 0.0239 memory: 11089 grad_norm: 4.0097 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2517 loss: 2.2517 2022/08/02 10:54:45 - mmengine - INFO - Epoch(train) [45][500/1879] lr: 2.0000e-02 eta: 2 days, 2:29:48 time: 0.9280 data_time: 0.0250 memory: 11089 grad_norm: 3.9980 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9142 loss: 1.9142 2022/08/02 10:55:04 - mmengine - INFO - Epoch(train) [45][520/1879] lr: 2.0000e-02 eta: 2 days, 2:29:30 time: 0.9274 data_time: 0.0306 memory: 11089 grad_norm: 3.9030 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7717 loss: 1.7717 2022/08/02 10:55:22 - mmengine - INFO - Epoch(train) [45][540/1879] lr: 2.0000e-02 eta: 2 days, 2:29:12 time: 0.9254 data_time: 0.0307 memory: 11089 grad_norm: 4.1864 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8922 loss: 1.8922 2022/08/02 10:55:40 - mmengine - INFO - Epoch(train) [45][560/1879] lr: 2.0000e-02 eta: 2 days, 2:28:53 time: 0.9028 data_time: 0.0246 memory: 11089 grad_norm: 3.9850 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8943 loss: 1.8943 2022/08/02 10:55:58 - mmengine - INFO - Epoch(train) [45][580/1879] lr: 2.0000e-02 eta: 2 days, 2:28:34 time: 0.8990 data_time: 0.0247 memory: 11089 grad_norm: 3.9861 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9896 loss: 1.9896 2022/08/02 10:56:16 - mmengine - INFO - Epoch(train) [45][600/1879] lr: 2.0000e-02 eta: 2 days, 2:28:16 time: 0.9112 data_time: 0.0288 memory: 11089 grad_norm: 3.9232 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9624 loss: 1.9624 2022/08/02 10:56:35 - mmengine - INFO - Epoch(train) [45][620/1879] lr: 2.0000e-02 eta: 2 days, 2:27:58 time: 0.9220 data_time: 0.0273 memory: 11089 grad_norm: 3.9500 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8742 loss: 1.8742 2022/08/02 10:56:54 - mmengine - INFO - Epoch(train) [45][640/1879] lr: 2.0000e-02 eta: 2 days, 2:27:40 time: 0.9375 data_time: 0.0301 memory: 11089 grad_norm: 3.9134 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8761 loss: 1.8761 2022/08/02 10:57:12 - mmengine - INFO - Epoch(train) [45][660/1879] lr: 2.0000e-02 eta: 2 days, 2:27:22 time: 0.9128 data_time: 0.0248 memory: 11089 grad_norm: 3.9772 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9977 loss: 1.9977 2022/08/02 10:57:30 - mmengine - INFO - Epoch(train) [45][680/1879] lr: 2.0000e-02 eta: 2 days, 2:27:04 time: 0.9197 data_time: 0.0336 memory: 11089 grad_norm: 3.8980 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8570 loss: 1.8570 2022/08/02 10:57:49 - mmengine - INFO - Epoch(train) [45][700/1879] lr: 2.0000e-02 eta: 2 days, 2:26:46 time: 0.9309 data_time: 0.0344 memory: 11089 grad_norm: 3.9262 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8157 loss: 1.8157 2022/08/02 10:58:07 - mmengine - INFO - Epoch(train) [45][720/1879] lr: 2.0000e-02 eta: 2 days, 2:26:28 time: 0.9077 data_time: 0.0268 memory: 11089 grad_norm: 4.0292 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9884 loss: 1.9884 2022/08/02 10:58:25 - mmengine - INFO - Epoch(train) [45][740/1879] lr: 2.0000e-02 eta: 2 days, 2:26:08 time: 0.8934 data_time: 0.0284 memory: 11089 grad_norm: 3.9267 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9279 loss: 1.9279 2022/08/02 10:58:43 - mmengine - INFO - Epoch(train) [45][760/1879] lr: 2.0000e-02 eta: 2 days, 2:25:51 time: 0.9241 data_time: 0.0278 memory: 11089 grad_norm: 3.8489 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8527 loss: 1.8527 2022/08/02 10:59:02 - mmengine - INFO - Epoch(train) [45][780/1879] lr: 2.0000e-02 eta: 2 days, 2:25:33 time: 0.9383 data_time: 0.0339 memory: 11089 grad_norm: 3.9662 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0198 loss: 2.0198 2022/08/02 10:59:20 - mmengine - INFO - Epoch(train) [45][800/1879] lr: 2.0000e-02 eta: 2 days, 2:25:15 time: 0.9173 data_time: 0.0261 memory: 11089 grad_norm: 3.9624 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8915 loss: 1.8915 2022/08/02 10:59:38 - mmengine - INFO - Epoch(train) [45][820/1879] lr: 2.0000e-02 eta: 2 days, 2:24:56 time: 0.8987 data_time: 0.0276 memory: 11089 grad_norm: 4.0707 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7938 loss: 1.7938 2022/08/02 10:59:57 - mmengine - INFO - Epoch(train) [45][840/1879] lr: 2.0000e-02 eta: 2 days, 2:24:38 time: 0.9146 data_time: 0.0236 memory: 11089 grad_norm: 3.9932 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9544 loss: 1.9544 2022/08/02 11:00:15 - mmengine - INFO - Epoch(train) [45][860/1879] lr: 2.0000e-02 eta: 2 days, 2:24:19 time: 0.9014 data_time: 0.0270 memory: 11089 grad_norm: 4.0435 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9859 loss: 1.9859 2022/08/02 11:00:33 - mmengine - INFO - Epoch(train) [45][880/1879] lr: 2.0000e-02 eta: 2 days, 2:24:01 time: 0.9276 data_time: 0.0339 memory: 11089 grad_norm: 4.0288 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8104 loss: 1.8104 2022/08/02 11:00:52 - mmengine - INFO - Epoch(train) [45][900/1879] lr: 2.0000e-02 eta: 2 days, 2:23:43 time: 0.9139 data_time: 0.0267 memory: 11089 grad_norm: 3.9259 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9336 loss: 1.9336 2022/08/02 11:01:10 - mmengine - INFO - Epoch(train) [45][920/1879] lr: 2.0000e-02 eta: 2 days, 2:23:24 time: 0.9108 data_time: 0.0349 memory: 11089 grad_norm: 4.0284 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9275 loss: 1.9275 2022/08/02 11:01:28 - mmengine - INFO - Epoch(train) [45][940/1879] lr: 2.0000e-02 eta: 2 days, 2:23:06 time: 0.9188 data_time: 0.0279 memory: 11089 grad_norm: 4.1370 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9161 loss: 1.9161 2022/08/02 11:01:47 - mmengine - INFO - Epoch(train) [45][960/1879] lr: 2.0000e-02 eta: 2 days, 2:22:48 time: 0.9174 data_time: 0.0314 memory: 11089 grad_norm: 4.1062 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9866 loss: 1.9866 2022/08/02 11:02:05 - mmengine - INFO - Epoch(train) [45][980/1879] lr: 2.0000e-02 eta: 2 days, 2:22:30 time: 0.9319 data_time: 0.0265 memory: 11089 grad_norm: 4.0225 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0032 loss: 2.0032 2022/08/02 11:02:24 - mmengine - INFO - Epoch(train) [45][1000/1879] lr: 2.0000e-02 eta: 2 days, 2:22:13 time: 0.9276 data_time: 0.0272 memory: 11089 grad_norm: 3.9266 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9222 loss: 1.9222 2022/08/02 11:02:42 - mmengine - INFO - Epoch(train) [45][1020/1879] lr: 2.0000e-02 eta: 2 days, 2:21:55 time: 0.9202 data_time: 0.0254 memory: 11089 grad_norm: 4.0525 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.2153 loss: 2.2153 2022/08/02 11:03:01 - mmengine - INFO - Epoch(train) [45][1040/1879] lr: 2.0000e-02 eta: 2 days, 2:21:37 time: 0.9195 data_time: 0.0256 memory: 11089 grad_norm: 4.0110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7416 loss: 1.7416 2022/08/02 11:03:19 - mmengine - INFO - Epoch(train) [45][1060/1879] lr: 2.0000e-02 eta: 2 days, 2:21:20 time: 0.9479 data_time: 0.0350 memory: 11089 grad_norm: 4.1333 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7020 loss: 1.7020 2022/08/02 11:03:38 - mmengine - INFO - Epoch(train) [45][1080/1879] lr: 2.0000e-02 eta: 2 days, 2:21:02 time: 0.9178 data_time: 0.0314 memory: 11089 grad_norm: 3.9179 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7617 loss: 1.7617 2022/08/02 11:03:56 - mmengine - INFO - Epoch(train) [45][1100/1879] lr: 2.0000e-02 eta: 2 days, 2:20:44 time: 0.9284 data_time: 0.0281 memory: 11089 grad_norm: 4.0581 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0109 loss: 2.0109 2022/08/02 11:04:15 - mmengine - INFO - Epoch(train) [45][1120/1879] lr: 2.0000e-02 eta: 2 days, 2:20:26 time: 0.9118 data_time: 0.0263 memory: 11089 grad_norm: 3.9808 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8977 loss: 1.8977 2022/08/02 11:04:33 - mmengine - INFO - Epoch(train) [45][1140/1879] lr: 2.0000e-02 eta: 2 days, 2:20:07 time: 0.9191 data_time: 0.0287 memory: 11089 grad_norm: 3.9741 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8994 loss: 1.8994 2022/08/02 11:04:52 - mmengine - INFO - Epoch(train) [45][1160/1879] lr: 2.0000e-02 eta: 2 days, 2:19:50 time: 0.9416 data_time: 0.0296 memory: 11089 grad_norm: 4.0165 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8942 loss: 1.8942 2022/08/02 11:05:11 - mmengine - INFO - Epoch(train) [45][1180/1879] lr: 2.0000e-02 eta: 2 days, 2:19:33 time: 0.9398 data_time: 0.0247 memory: 11089 grad_norm: 3.9896 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8319 loss: 1.8319 2022/08/02 11:05:29 - mmengine - INFO - Epoch(train) [45][1200/1879] lr: 2.0000e-02 eta: 2 days, 2:19:16 time: 0.9314 data_time: 0.0377 memory: 11089 grad_norm: 4.0768 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9344 loss: 1.9344 2022/08/02 11:05:48 - mmengine - INFO - Epoch(train) [45][1220/1879] lr: 2.0000e-02 eta: 2 days, 2:18:57 time: 0.9157 data_time: 0.0285 memory: 11089 grad_norm: 4.0685 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9154 loss: 1.9154 2022/08/02 11:06:06 - mmengine - INFO - Epoch(train) [45][1240/1879] lr: 2.0000e-02 eta: 2 days, 2:18:40 time: 0.9269 data_time: 0.0305 memory: 11089 grad_norm: 3.9910 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9975 loss: 1.9975 2022/08/02 11:06:25 - mmengine - INFO - Epoch(train) [45][1260/1879] lr: 2.0000e-02 eta: 2 days, 2:18:22 time: 0.9369 data_time: 0.0327 memory: 11089 grad_norm: 3.9951 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0045 loss: 2.0045 2022/08/02 11:06:43 - mmengine - INFO - Epoch(train) [45][1280/1879] lr: 2.0000e-02 eta: 2 days, 2:18:04 time: 0.9045 data_time: 0.0287 memory: 11089 grad_norm: 3.9767 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0429 loss: 2.0429 2022/08/02 11:07:02 - mmengine - INFO - Epoch(train) [45][1300/1879] lr: 2.0000e-02 eta: 2 days, 2:17:46 time: 0.9268 data_time: 0.0277 memory: 11089 grad_norm: 4.0138 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0412 loss: 2.0412 2022/08/02 11:07:20 - mmengine - INFO - Epoch(train) [45][1320/1879] lr: 2.0000e-02 eta: 2 days, 2:17:28 time: 0.9139 data_time: 0.0301 memory: 11089 grad_norm: 3.9977 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1076 loss: 2.1076 2022/08/02 11:07:24 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 11:07:39 - mmengine - INFO - Epoch(train) [45][1340/1879] lr: 2.0000e-02 eta: 2 days, 2:17:11 time: 0.9451 data_time: 0.0394 memory: 11089 grad_norm: 3.9321 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0585 loss: 2.0585 2022/08/02 11:07:57 - mmengine - INFO - Epoch(train) [45][1360/1879] lr: 2.0000e-02 eta: 2 days, 2:16:52 time: 0.9140 data_time: 0.0361 memory: 11089 grad_norm: 3.9316 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0352 loss: 2.0352 2022/08/02 11:08:16 - mmengine - INFO - Epoch(train) [45][1380/1879] lr: 2.0000e-02 eta: 2 days, 2:16:35 time: 0.9392 data_time: 0.0332 memory: 11089 grad_norm: 3.9717 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8678 loss: 1.8678 2022/08/02 11:08:34 - mmengine - INFO - Epoch(train) [45][1400/1879] lr: 2.0000e-02 eta: 2 days, 2:16:16 time: 0.9023 data_time: 0.0245 memory: 11089 grad_norm: 3.9857 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8661 loss: 1.8661 2022/08/02 11:08:52 - mmengine - INFO - Epoch(train) [45][1420/1879] lr: 2.0000e-02 eta: 2 days, 2:15:59 time: 0.9278 data_time: 0.0291 memory: 11089 grad_norm: 3.9473 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7012 loss: 1.7012 2022/08/02 11:09:11 - mmengine - INFO - Epoch(train) [45][1440/1879] lr: 2.0000e-02 eta: 2 days, 2:15:41 time: 0.9339 data_time: 0.0271 memory: 11089 grad_norm: 4.0574 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0376 loss: 2.0376 2022/08/02 11:09:30 - mmengine - INFO - Epoch(train) [45][1460/1879] lr: 2.0000e-02 eta: 2 days, 2:15:23 time: 0.9237 data_time: 0.0220 memory: 11089 grad_norm: 4.1079 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1795 loss: 2.1795 2022/08/02 11:09:48 - mmengine - INFO - Epoch(train) [45][1480/1879] lr: 2.0000e-02 eta: 2 days, 2:15:04 time: 0.9045 data_time: 0.0246 memory: 11089 grad_norm: 4.0381 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9961 loss: 1.9961 2022/08/02 11:10:06 - mmengine - INFO - Epoch(train) [45][1500/1879] lr: 2.0000e-02 eta: 2 days, 2:14:47 time: 0.9411 data_time: 0.0328 memory: 11089 grad_norm: 3.9818 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8945 loss: 1.8945 2022/08/02 11:10:25 - mmengine - INFO - Epoch(train) [45][1520/1879] lr: 2.0000e-02 eta: 2 days, 2:14:30 time: 0.9297 data_time: 0.0290 memory: 11089 grad_norm: 3.9855 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0804 loss: 2.0804 2022/08/02 11:10:43 - mmengine - INFO - Epoch(train) [45][1540/1879] lr: 2.0000e-02 eta: 2 days, 2:14:11 time: 0.9078 data_time: 0.0270 memory: 11089 grad_norm: 3.9954 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9771 loss: 1.9771 2022/08/02 11:11:02 - mmengine - INFO - Epoch(train) [45][1560/1879] lr: 2.0000e-02 eta: 2 days, 2:13:54 time: 0.9396 data_time: 0.0300 memory: 11089 grad_norm: 3.9421 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9193 loss: 1.9193 2022/08/02 11:11:21 - mmengine - INFO - Epoch(train) [45][1580/1879] lr: 2.0000e-02 eta: 2 days, 2:13:37 time: 0.9369 data_time: 0.0338 memory: 11089 grad_norm: 3.9401 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0449 loss: 2.0449 2022/08/02 11:11:40 - mmengine - INFO - Epoch(train) [45][1600/1879] lr: 2.0000e-02 eta: 2 days, 2:13:19 time: 0.9370 data_time: 0.0426 memory: 11089 grad_norm: 3.9287 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7480 loss: 1.7480 2022/08/02 11:11:58 - mmengine - INFO - Epoch(train) [45][1620/1879] lr: 2.0000e-02 eta: 2 days, 2:13:01 time: 0.9141 data_time: 0.0240 memory: 11089 grad_norm: 3.9922 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9939 loss: 1.9939 2022/08/02 11:12:17 - mmengine - INFO - Epoch(train) [45][1640/1879] lr: 2.0000e-02 eta: 2 days, 2:12:45 time: 0.9546 data_time: 0.0278 memory: 11089 grad_norm: 3.9918 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8364 loss: 1.8364 2022/08/02 11:12:36 - mmengine - INFO - Epoch(train) [45][1660/1879] lr: 2.0000e-02 eta: 2 days, 2:12:27 time: 0.9385 data_time: 0.0331 memory: 11089 grad_norm: 4.0335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9773 loss: 1.9773 2022/08/02 11:12:55 - mmengine - INFO - Epoch(train) [45][1680/1879] lr: 2.0000e-02 eta: 2 days, 2:12:10 time: 0.9435 data_time: 0.0344 memory: 11089 grad_norm: 3.9731 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8737 loss: 1.8737 2022/08/02 11:13:14 - mmengine - INFO - Epoch(train) [45][1700/1879] lr: 2.0000e-02 eta: 2 days, 2:11:54 time: 0.9565 data_time: 0.0344 memory: 11089 grad_norm: 4.0022 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9622 loss: 1.9622 2022/08/02 11:13:32 - mmengine - INFO - Epoch(train) [45][1720/1879] lr: 2.0000e-02 eta: 2 days, 2:11:36 time: 0.9296 data_time: 0.0285 memory: 11089 grad_norm: 3.8747 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.0869 loss: 2.0869 2022/08/02 11:13:51 - mmengine - INFO - Epoch(train) [45][1740/1879] lr: 2.0000e-02 eta: 2 days, 2:11:18 time: 0.9130 data_time: 0.0318 memory: 11089 grad_norm: 3.9855 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9671 loss: 1.9671 2022/08/02 11:14:09 - mmengine - INFO - Epoch(train) [45][1760/1879] lr: 2.0000e-02 eta: 2 days, 2:11:00 time: 0.9192 data_time: 0.0353 memory: 11089 grad_norm: 3.9477 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0071 loss: 2.0071 2022/08/02 11:14:27 - mmengine - INFO - Epoch(train) [45][1780/1879] lr: 2.0000e-02 eta: 2 days, 2:10:42 time: 0.9226 data_time: 0.0312 memory: 11089 grad_norm: 3.9924 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1348 loss: 2.1348 2022/08/02 11:14:46 - mmengine - INFO - Epoch(train) [45][1800/1879] lr: 2.0000e-02 eta: 2 days, 2:10:25 time: 0.9359 data_time: 0.0303 memory: 11089 grad_norm: 3.9639 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8806 loss: 1.8806 2022/08/02 11:15:05 - mmengine - INFO - Epoch(train) [45][1820/1879] lr: 2.0000e-02 eta: 2 days, 2:10:07 time: 0.9252 data_time: 0.0321 memory: 11089 grad_norm: 3.9004 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.8579 loss: 1.8579 2022/08/02 11:15:23 - mmengine - INFO - Epoch(train) [45][1840/1879] lr: 2.0000e-02 eta: 2 days, 2:09:50 time: 0.9435 data_time: 0.0336 memory: 11089 grad_norm: 4.0053 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9427 loss: 1.9427 2022/08/02 11:15:42 - mmengine - INFO - Epoch(train) [45][1860/1879] lr: 2.0000e-02 eta: 2 days, 2:09:32 time: 0.9321 data_time: 0.0279 memory: 11089 grad_norm: 3.8911 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9147 loss: 1.9147 2022/08/02 11:15:59 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 11:15:59 - mmengine - INFO - Epoch(train) [45][1879/1879] lr: 2.0000e-02 eta: 2 days, 2:09:32 time: 0.8937 data_time: 0.0244 memory: 11089 grad_norm: 4.0258 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.7121 loss: 1.7121 2022/08/02 11:16:08 - mmengine - INFO - Epoch(val) [45][20/155] eta: 0:00:59 time: 0.4411 data_time: 0.1280 memory: 1950 2022/08/02 11:16:15 - mmengine - INFO - Epoch(val) [45][40/155] eta: 0:00:38 time: 0.3331 data_time: 0.0113 memory: 1950 2022/08/02 11:16:22 - mmengine - INFO - Epoch(val) [45][60/155] eta: 0:00:33 time: 0.3486 data_time: 0.0127 memory: 1950 2022/08/02 11:16:28 - mmengine - INFO - Epoch(val) [45][80/155] eta: 0:00:24 time: 0.3255 data_time: 0.0114 memory: 1950 2022/08/02 11:16:35 - mmengine - INFO - Epoch(val) [45][100/155] eta: 0:00:17 time: 0.3205 data_time: 0.0120 memory: 1950 2022/08/02 11:16:41 - mmengine - INFO - Epoch(val) [45][120/155] eta: 0:00:11 time: 0.3310 data_time: 0.0112 memory: 1950 2022/08/02 11:16:49 - mmengine - INFO - Epoch(val) [45][140/155] eta: 0:00:05 time: 0.3872 data_time: 0.0100 memory: 1950 2022/08/02 11:16:56 - mmengine - INFO - Epoch(val) [45][155/155] acc/top1: 0.6057 acc/top5: 0.8334 acc/mean1: 0.6055 2022/08/02 11:17:16 - mmengine - INFO - Epoch(train) [46][20/1879] lr: 2.0000e-02 eta: 2 days, 2:08:19 time: 0.9761 data_time: 0.1091 memory: 11089 grad_norm: 3.9729 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9267 loss: 1.9267 2022/08/02 11:17:34 - mmengine - INFO - Epoch(train) [46][40/1879] lr: 2.0000e-02 eta: 2 days, 2:08:00 time: 0.9116 data_time: 0.0279 memory: 11089 grad_norm: 4.1258 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7629 loss: 1.7629 2022/08/02 11:17:52 - mmengine - INFO - Epoch(train) [46][60/1879] lr: 2.0000e-02 eta: 2 days, 2:07:42 time: 0.9144 data_time: 0.0278 memory: 11089 grad_norm: 3.9795 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0717 loss: 2.0717 2022/08/02 11:18:11 - mmengine - INFO - Epoch(train) [46][80/1879] lr: 2.0000e-02 eta: 2 days, 2:07:25 time: 0.9463 data_time: 0.0377 memory: 11089 grad_norm: 3.9268 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0072 loss: 2.0072 2022/08/02 11:18:30 - mmengine - INFO - Epoch(train) [46][100/1879] lr: 2.0000e-02 eta: 2 days, 2:07:07 time: 0.9231 data_time: 0.0313 memory: 11089 grad_norm: 3.9307 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0485 loss: 2.0485 2022/08/02 11:18:48 - mmengine - INFO - Epoch(train) [46][120/1879] lr: 2.0000e-02 eta: 2 days, 2:06:49 time: 0.9117 data_time: 0.0295 memory: 11089 grad_norm: 3.9544 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8624 loss: 1.8624 2022/08/02 11:19:07 - mmengine - INFO - Epoch(train) [46][140/1879] lr: 2.0000e-02 eta: 2 days, 2:06:31 time: 0.9275 data_time: 0.0243 memory: 11089 grad_norm: 3.9553 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9829 loss: 1.9829 2022/08/02 11:19:25 - mmengine - INFO - Epoch(train) [46][160/1879] lr: 2.0000e-02 eta: 2 days, 2:06:13 time: 0.9117 data_time: 0.0281 memory: 11089 grad_norm: 3.8400 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8251 loss: 1.8251 2022/08/02 11:19:43 - mmengine - INFO - Epoch(train) [46][180/1879] lr: 2.0000e-02 eta: 2 days, 2:05:54 time: 0.9064 data_time: 0.0285 memory: 11089 grad_norm: 3.8373 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9128 loss: 1.9128 2022/08/02 11:20:01 - mmengine - INFO - Epoch(train) [46][200/1879] lr: 2.0000e-02 eta: 2 days, 2:05:36 time: 0.9164 data_time: 0.0320 memory: 11089 grad_norm: 3.8637 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8690 loss: 1.8690 2022/08/02 11:20:20 - mmengine - INFO - Epoch(train) [46][220/1879] lr: 2.0000e-02 eta: 2 days, 2:05:18 time: 0.9231 data_time: 0.0327 memory: 11089 grad_norm: 3.9565 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9413 loss: 1.9413 2022/08/02 11:20:38 - mmengine - INFO - Epoch(train) [46][240/1879] lr: 2.0000e-02 eta: 2 days, 2:05:00 time: 0.9276 data_time: 0.0253 memory: 11089 grad_norm: 3.9606 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0998 loss: 2.0998 2022/08/02 11:20:57 - mmengine - INFO - Epoch(train) [46][260/1879] lr: 2.0000e-02 eta: 2 days, 2:04:43 time: 0.9327 data_time: 0.0295 memory: 11089 grad_norm: 3.9355 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0085 loss: 2.0085 2022/08/02 11:21:16 - mmengine - INFO - Epoch(train) [46][280/1879] lr: 2.0000e-02 eta: 2 days, 2:04:25 time: 0.9260 data_time: 0.0344 memory: 11089 grad_norm: 3.9664 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8331 loss: 1.8331 2022/08/02 11:21:34 - mmengine - INFO - Epoch(train) [46][300/1879] lr: 2.0000e-02 eta: 2 days, 2:04:07 time: 0.9259 data_time: 0.0307 memory: 11089 grad_norm: 3.8500 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9000 loss: 1.9000 2022/08/02 11:21:53 - mmengine - INFO - Epoch(train) [46][320/1879] lr: 2.0000e-02 eta: 2 days, 2:03:49 time: 0.9251 data_time: 0.0291 memory: 11089 grad_norm: 3.9807 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0031 loss: 2.0031 2022/08/02 11:22:11 - mmengine - INFO - Epoch(train) [46][340/1879] lr: 2.0000e-02 eta: 2 days, 2:03:31 time: 0.9157 data_time: 0.0218 memory: 11089 grad_norm: 3.9059 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6437 loss: 1.6437 2022/08/02 11:22:29 - mmengine - INFO - Epoch(train) [46][360/1879] lr: 2.0000e-02 eta: 2 days, 2:03:12 time: 0.9046 data_time: 0.0323 memory: 11089 grad_norm: 4.1296 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9479 loss: 1.9479 2022/08/02 11:22:48 - mmengine - INFO - Epoch(train) [46][380/1879] lr: 2.0000e-02 eta: 2 days, 2:02:55 time: 0.9361 data_time: 0.0189 memory: 11089 grad_norm: 4.0792 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8409 loss: 1.8409 2022/08/02 11:23:06 - mmengine - INFO - Epoch(train) [46][400/1879] lr: 2.0000e-02 eta: 2 days, 2:02:38 time: 0.9383 data_time: 0.0332 memory: 11089 grad_norm: 3.9782 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7648 loss: 1.7648 2022/08/02 11:23:24 - mmengine - INFO - Epoch(train) [46][420/1879] lr: 2.0000e-02 eta: 2 days, 2:02:19 time: 0.8974 data_time: 0.0256 memory: 11089 grad_norm: 3.9223 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7607 loss: 1.7607 2022/08/02 11:23:43 - mmengine - INFO - Epoch(train) [46][440/1879] lr: 2.0000e-02 eta: 2 days, 2:02:00 time: 0.9142 data_time: 0.0288 memory: 11089 grad_norm: 3.9417 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7627 loss: 1.7627 2022/08/02 11:23:47 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 11:24:02 - mmengine - INFO - Epoch(train) [46][460/1879] lr: 2.0000e-02 eta: 2 days, 2:01:43 time: 0.9411 data_time: 0.0298 memory: 11089 grad_norm: 4.0115 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0208 loss: 2.0208 2022/08/02 11:24:20 - mmengine - INFO - Epoch(train) [46][480/1879] lr: 2.0000e-02 eta: 2 days, 2:01:26 time: 0.9406 data_time: 0.0280 memory: 11089 grad_norm: 3.9828 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0725 loss: 2.0725 2022/08/02 11:24:39 - mmengine - INFO - Epoch(train) [46][500/1879] lr: 2.0000e-02 eta: 2 days, 2:01:08 time: 0.9137 data_time: 0.0329 memory: 11089 grad_norm: 4.0003 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7225 loss: 1.7225 2022/08/02 11:24:57 - mmengine - INFO - Epoch(train) [46][520/1879] lr: 2.0000e-02 eta: 2 days, 2:00:50 time: 0.9246 data_time: 0.0256 memory: 11089 grad_norm: 3.9375 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.9008 loss: 1.9008 2022/08/02 11:25:16 - mmengine - INFO - Epoch(train) [46][540/1879] lr: 2.0000e-02 eta: 2 days, 2:00:33 time: 0.9390 data_time: 0.0278 memory: 11089 grad_norm: 4.0237 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9729 loss: 1.9729 2022/08/02 11:25:35 - mmengine - INFO - Epoch(train) [46][560/1879] lr: 2.0000e-02 eta: 2 days, 2:00:15 time: 0.9404 data_time: 0.0268 memory: 11089 grad_norm: 3.9922 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7431 loss: 1.7431 2022/08/02 11:25:53 - mmengine - INFO - Epoch(train) [46][580/1879] lr: 2.0000e-02 eta: 2 days, 1:59:57 time: 0.9181 data_time: 0.0266 memory: 11089 grad_norm: 4.0155 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8700 loss: 1.8700 2022/08/02 11:26:12 - mmengine - INFO - Epoch(train) [46][600/1879] lr: 2.0000e-02 eta: 2 days, 1:59:40 time: 0.9463 data_time: 0.0285 memory: 11089 grad_norm: 4.0401 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9813 loss: 1.9813 2022/08/02 11:26:30 - mmengine - INFO - Epoch(train) [46][620/1879] lr: 2.0000e-02 eta: 2 days, 1:59:22 time: 0.9042 data_time: 0.0256 memory: 11089 grad_norm: 4.0058 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9410 loss: 1.9410 2022/08/02 11:26:49 - mmengine - INFO - Epoch(train) [46][640/1879] lr: 2.0000e-02 eta: 2 days, 1:59:03 time: 0.9155 data_time: 0.0258 memory: 11089 grad_norm: 4.0094 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8456 loss: 1.8456 2022/08/02 11:27:07 - mmengine - INFO - Epoch(train) [46][660/1879] lr: 2.0000e-02 eta: 2 days, 1:58:46 time: 0.9429 data_time: 0.0324 memory: 11089 grad_norm: 4.0034 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0246 loss: 2.0246 2022/08/02 11:27:26 - mmengine - INFO - Epoch(train) [46][680/1879] lr: 2.0000e-02 eta: 2 days, 1:58:29 time: 0.9296 data_time: 0.0335 memory: 11089 grad_norm: 3.9541 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8805 loss: 1.8805 2022/08/02 11:27:44 - mmengine - INFO - Epoch(train) [46][700/1879] lr: 2.0000e-02 eta: 2 days, 1:58:10 time: 0.9104 data_time: 0.0351 memory: 11089 grad_norm: 4.0059 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6967 loss: 1.6967 2022/08/02 11:28:03 - mmengine - INFO - Epoch(train) [46][720/1879] lr: 2.0000e-02 eta: 2 days, 1:57:53 time: 0.9487 data_time: 0.0294 memory: 11089 grad_norm: 3.9345 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0312 loss: 2.0312 2022/08/02 11:28:22 - mmengine - INFO - Epoch(train) [46][740/1879] lr: 2.0000e-02 eta: 2 days, 1:57:36 time: 0.9262 data_time: 0.0299 memory: 11089 grad_norm: 4.0546 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8818 loss: 1.8818 2022/08/02 11:28:40 - mmengine - INFO - Epoch(train) [46][760/1879] lr: 2.0000e-02 eta: 2 days, 1:57:17 time: 0.9140 data_time: 0.0284 memory: 11089 grad_norm: 3.9466 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9912 loss: 1.9912 2022/08/02 11:28:59 - mmengine - INFO - Epoch(train) [46][780/1879] lr: 2.0000e-02 eta: 2 days, 1:57:00 time: 0.9376 data_time: 0.0355 memory: 11089 grad_norm: 4.0021 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6737 loss: 1.6737 2022/08/02 11:29:17 - mmengine - INFO - Epoch(train) [46][800/1879] lr: 2.0000e-02 eta: 2 days, 1:56:42 time: 0.9136 data_time: 0.0247 memory: 11089 grad_norm: 4.0251 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7534 loss: 1.7534 2022/08/02 11:29:35 - mmengine - INFO - Epoch(train) [46][820/1879] lr: 2.0000e-02 eta: 2 days, 1:56:23 time: 0.9150 data_time: 0.0268 memory: 11089 grad_norm: 3.9047 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8565 loss: 1.8565 2022/08/02 11:29:53 - mmengine - INFO - Epoch(train) [46][840/1879] lr: 2.0000e-02 eta: 2 days, 1:56:04 time: 0.9000 data_time: 0.0258 memory: 11089 grad_norm: 3.9471 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9504 loss: 1.9504 2022/08/02 11:30:12 - mmengine - INFO - Epoch(train) [46][860/1879] lr: 2.0000e-02 eta: 2 days, 1:55:46 time: 0.9189 data_time: 0.0260 memory: 11089 grad_norm: 3.9757 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9155 loss: 1.9155 2022/08/02 11:30:30 - mmengine - INFO - Epoch(train) [46][880/1879] lr: 2.0000e-02 eta: 2 days, 1:55:28 time: 0.9079 data_time: 0.0272 memory: 11089 grad_norm: 3.9328 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9376 loss: 1.9376 2022/08/02 11:30:49 - mmengine - INFO - Epoch(train) [46][900/1879] lr: 2.0000e-02 eta: 2 days, 1:55:11 time: 0.9413 data_time: 0.0329 memory: 11089 grad_norm: 3.9828 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9424 loss: 1.9424 2022/08/02 11:31:07 - mmengine - INFO - Epoch(train) [46][920/1879] lr: 2.0000e-02 eta: 2 days, 1:54:52 time: 0.9147 data_time: 0.0315 memory: 11089 grad_norm: 3.9869 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8856 loss: 1.8856 2022/08/02 11:31:25 - mmengine - INFO - Epoch(train) [46][940/1879] lr: 2.0000e-02 eta: 2 days, 1:54:34 time: 0.9102 data_time: 0.0257 memory: 11089 grad_norm: 4.0026 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9900 loss: 1.9900 2022/08/02 11:31:44 - mmengine - INFO - Epoch(train) [46][960/1879] lr: 2.0000e-02 eta: 2 days, 1:54:16 time: 0.9221 data_time: 0.0244 memory: 11089 grad_norm: 3.9934 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9477 loss: 1.9477 2022/08/02 11:32:02 - mmengine - INFO - Epoch(train) [46][980/1879] lr: 2.0000e-02 eta: 2 days, 1:53:59 time: 0.9463 data_time: 0.0321 memory: 11089 grad_norm: 3.9983 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8815 loss: 1.8815 2022/08/02 11:32:21 - mmengine - INFO - Epoch(train) [46][1000/1879] lr: 2.0000e-02 eta: 2 days, 1:53:41 time: 0.9201 data_time: 0.0217 memory: 11089 grad_norm: 3.9834 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9306 loss: 1.9306 2022/08/02 11:32:40 - mmengine - INFO - Epoch(train) [46][1020/1879] lr: 2.0000e-02 eta: 2 days, 1:53:24 time: 0.9430 data_time: 0.0318 memory: 11089 grad_norm: 4.0637 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0558 loss: 2.0558 2022/08/02 11:32:58 - mmengine - INFO - Epoch(train) [46][1040/1879] lr: 2.0000e-02 eta: 2 days, 1:53:05 time: 0.9140 data_time: 0.0290 memory: 11089 grad_norm: 3.8925 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8749 loss: 1.8749 2022/08/02 11:33:16 - mmengine - INFO - Epoch(train) [46][1060/1879] lr: 2.0000e-02 eta: 2 days, 1:52:47 time: 0.9220 data_time: 0.0289 memory: 11089 grad_norm: 3.9579 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9460 loss: 1.9460 2022/08/02 11:33:35 - mmengine - INFO - Epoch(train) [46][1080/1879] lr: 2.0000e-02 eta: 2 days, 1:52:29 time: 0.9158 data_time: 0.0286 memory: 11089 grad_norm: 3.9705 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0490 loss: 2.0490 2022/08/02 11:33:54 - mmengine - INFO - Epoch(train) [46][1100/1879] lr: 2.0000e-02 eta: 2 days, 1:52:13 time: 0.9525 data_time: 0.0319 memory: 11089 grad_norm: 3.9942 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7266 loss: 1.7266 2022/08/02 11:34:13 - mmengine - INFO - Epoch(train) [46][1120/1879] lr: 2.0000e-02 eta: 2 days, 1:51:56 time: 0.9581 data_time: 0.0240 memory: 11089 grad_norm: 3.9943 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0253 loss: 2.0253 2022/08/02 11:34:32 - mmengine - INFO - Epoch(train) [46][1140/1879] lr: 2.0000e-02 eta: 2 days, 1:51:39 time: 0.9395 data_time: 0.0334 memory: 11089 grad_norm: 4.0085 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7686 loss: 1.7686 2022/08/02 11:34:50 - mmengine - INFO - Epoch(train) [46][1160/1879] lr: 2.0000e-02 eta: 2 days, 1:51:20 time: 0.9063 data_time: 0.0312 memory: 11089 grad_norm: 3.9648 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8842 loss: 1.8842 2022/08/02 11:35:08 - mmengine - INFO - Epoch(train) [46][1180/1879] lr: 2.0000e-02 eta: 2 days, 1:51:03 time: 0.9264 data_time: 0.0285 memory: 11089 grad_norm: 3.9565 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8539 loss: 1.8539 2022/08/02 11:35:27 - mmengine - INFO - Epoch(train) [46][1200/1879] lr: 2.0000e-02 eta: 2 days, 1:50:45 time: 0.9196 data_time: 0.0277 memory: 11089 grad_norm: 3.9718 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9041 loss: 1.9041 2022/08/02 11:35:45 - mmengine - INFO - Epoch(train) [46][1220/1879] lr: 2.0000e-02 eta: 2 days, 1:50:26 time: 0.9020 data_time: 0.0294 memory: 11089 grad_norm: 3.9981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0243 loss: 2.0243 2022/08/02 11:36:04 - mmengine - INFO - Epoch(train) [46][1240/1879] lr: 2.0000e-02 eta: 2 days, 1:50:09 time: 0.9486 data_time: 0.0362 memory: 11089 grad_norm: 3.9701 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7486 loss: 1.7486 2022/08/02 11:36:23 - mmengine - INFO - Epoch(train) [46][1260/1879] lr: 2.0000e-02 eta: 2 days, 1:49:52 time: 0.9373 data_time: 0.0273 memory: 11089 grad_norm: 4.0285 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0141 loss: 2.0141 2022/08/02 11:36:41 - mmengine - INFO - Epoch(train) [46][1280/1879] lr: 2.0000e-02 eta: 2 days, 1:49:33 time: 0.9090 data_time: 0.0238 memory: 11089 grad_norm: 3.9619 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9428 loss: 1.9428 2022/08/02 11:36:59 - mmengine - INFO - Epoch(train) [46][1300/1879] lr: 2.0000e-02 eta: 2 days, 1:49:14 time: 0.9055 data_time: 0.0315 memory: 11089 grad_norm: 4.0689 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8381 loss: 1.8381 2022/08/02 11:37:17 - mmengine - INFO - Epoch(train) [46][1320/1879] lr: 2.0000e-02 eta: 2 days, 1:48:56 time: 0.9235 data_time: 0.0256 memory: 11089 grad_norm: 3.9951 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2274 loss: 2.2274 2022/08/02 11:37:36 - mmengine - INFO - Epoch(train) [46][1340/1879] lr: 2.0000e-02 eta: 2 days, 1:48:39 time: 0.9334 data_time: 0.0286 memory: 11089 grad_norm: 3.9214 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0884 loss: 2.0884 2022/08/02 11:37:54 - mmengine - INFO - Epoch(train) [46][1360/1879] lr: 2.0000e-02 eta: 2 days, 1:48:21 time: 0.9164 data_time: 0.0364 memory: 11089 grad_norm: 4.0265 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1027 loss: 2.1027 2022/08/02 11:38:12 - mmengine - INFO - Epoch(train) [46][1380/1879] lr: 2.0000e-02 eta: 2 days, 1:48:01 time: 0.8867 data_time: 0.0254 memory: 11089 grad_norm: 4.0967 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9439 loss: 1.9439 2022/08/02 11:38:30 - mmengine - INFO - Epoch(train) [46][1400/1879] lr: 2.0000e-02 eta: 2 days, 1:47:42 time: 0.9059 data_time: 0.0290 memory: 11089 grad_norm: 3.9235 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0140 loss: 2.0140 2022/08/02 11:38:49 - mmengine - INFO - Epoch(train) [46][1420/1879] lr: 2.0000e-02 eta: 2 days, 1:47:24 time: 0.9254 data_time: 0.0300 memory: 11089 grad_norm: 4.0866 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9878 loss: 1.9878 2022/08/02 11:39:08 - mmengine - INFO - Epoch(train) [46][1440/1879] lr: 2.0000e-02 eta: 2 days, 1:47:07 time: 0.9399 data_time: 0.0333 memory: 11089 grad_norm: 3.9919 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8403 loss: 1.8403 2022/08/02 11:39:12 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 11:39:26 - mmengine - INFO - Epoch(train) [46][1460/1879] lr: 2.0000e-02 eta: 2 days, 1:46:49 time: 0.9171 data_time: 0.0340 memory: 11089 grad_norm: 3.9343 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8417 loss: 1.8417 2022/08/02 11:39:44 - mmengine - INFO - Epoch(train) [46][1480/1879] lr: 2.0000e-02 eta: 2 days, 1:46:32 time: 0.9311 data_time: 0.0310 memory: 11089 grad_norm: 3.9795 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8068 loss: 1.8068 2022/08/02 11:40:03 - mmengine - INFO - Epoch(train) [46][1500/1879] lr: 2.0000e-02 eta: 2 days, 1:46:13 time: 0.9105 data_time: 0.0265 memory: 11089 grad_norm: 4.0182 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.0126 loss: 2.0126 2022/08/02 11:40:21 - mmengine - INFO - Epoch(train) [46][1520/1879] lr: 2.0000e-02 eta: 2 days, 1:45:54 time: 0.9054 data_time: 0.0239 memory: 11089 grad_norm: 4.0188 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9411 loss: 1.9411 2022/08/02 11:40:39 - mmengine - INFO - Epoch(train) [46][1540/1879] lr: 2.0000e-02 eta: 2 days, 1:45:37 time: 0.9280 data_time: 0.0226 memory: 11089 grad_norm: 3.9385 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9290 loss: 1.9290 2022/08/02 11:40:58 - mmengine - INFO - Epoch(train) [46][1560/1879] lr: 2.0000e-02 eta: 2 days, 1:45:19 time: 0.9285 data_time: 0.0244 memory: 11089 grad_norm: 3.9605 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7671 loss: 1.7671 2022/08/02 11:41:16 - mmengine - INFO - Epoch(train) [46][1580/1879] lr: 2.0000e-02 eta: 2 days, 1:45:01 time: 0.9253 data_time: 0.0364 memory: 11089 grad_norm: 4.0859 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1375 loss: 2.1375 2022/08/02 11:41:34 - mmengine - INFO - Epoch(train) [46][1600/1879] lr: 2.0000e-02 eta: 2 days, 1:44:42 time: 0.8972 data_time: 0.0293 memory: 11089 grad_norm: 3.9380 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0195 loss: 2.0195 2022/08/02 11:41:53 - mmengine - INFO - Epoch(train) [46][1620/1879] lr: 2.0000e-02 eta: 2 days, 1:44:24 time: 0.9249 data_time: 0.0303 memory: 11089 grad_norm: 4.0096 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9866 loss: 1.9866 2022/08/02 11:42:11 - mmengine - INFO - Epoch(train) [46][1640/1879] lr: 2.0000e-02 eta: 2 days, 1:44:06 time: 0.9230 data_time: 0.0278 memory: 11089 grad_norm: 4.0215 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8378 loss: 1.8378 2022/08/02 11:42:30 - mmengine - INFO - Epoch(train) [46][1660/1879] lr: 2.0000e-02 eta: 2 days, 1:43:48 time: 0.9159 data_time: 0.0307 memory: 11089 grad_norm: 4.0375 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9303 loss: 1.9303 2022/08/02 11:42:48 - mmengine - INFO - Epoch(train) [46][1680/1879] lr: 2.0000e-02 eta: 2 days, 1:43:30 time: 0.9217 data_time: 0.0305 memory: 11089 grad_norm: 4.0420 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8320 loss: 1.8320 2022/08/02 11:43:07 - mmengine - INFO - Epoch(train) [46][1700/1879] lr: 2.0000e-02 eta: 2 days, 1:43:13 time: 0.9426 data_time: 0.0326 memory: 11089 grad_norm: 3.8929 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1358 loss: 2.1358 2022/08/02 11:43:25 - mmengine - INFO - Epoch(train) [46][1720/1879] lr: 2.0000e-02 eta: 2 days, 1:42:54 time: 0.9154 data_time: 0.0254 memory: 11089 grad_norm: 3.9859 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0149 loss: 2.0149 2022/08/02 11:43:44 - mmengine - INFO - Epoch(train) [46][1740/1879] lr: 2.0000e-02 eta: 2 days, 1:42:37 time: 0.9261 data_time: 0.0240 memory: 11089 grad_norm: 3.9505 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9320 loss: 1.9320 2022/08/02 11:44:02 - mmengine - INFO - Epoch(train) [46][1760/1879] lr: 2.0000e-02 eta: 2 days, 1:42:18 time: 0.9089 data_time: 0.0243 memory: 11089 grad_norm: 4.0738 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2099 loss: 2.2099 2022/08/02 11:44:21 - mmengine - INFO - Epoch(train) [46][1780/1879] lr: 2.0000e-02 eta: 2 days, 1:42:01 time: 0.9371 data_time: 0.0218 memory: 11089 grad_norm: 4.1076 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9711 loss: 1.9711 2022/08/02 11:44:39 - mmengine - INFO - Epoch(train) [46][1800/1879] lr: 2.0000e-02 eta: 2 days, 1:41:43 time: 0.9167 data_time: 0.0271 memory: 11089 grad_norm: 4.0260 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0057 loss: 2.0057 2022/08/02 11:44:58 - mmengine - INFO - Epoch(train) [46][1820/1879] lr: 2.0000e-02 eta: 2 days, 1:41:25 time: 0.9276 data_time: 0.0293 memory: 11089 grad_norm: 4.0260 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0586 loss: 2.0586 2022/08/02 11:45:16 - mmengine - INFO - Epoch(train) [46][1840/1879] lr: 2.0000e-02 eta: 2 days, 1:41:06 time: 0.9035 data_time: 0.0279 memory: 11089 grad_norm: 3.9663 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6685 loss: 1.6685 2022/08/02 11:45:34 - mmengine - INFO - Epoch(train) [46][1860/1879] lr: 2.0000e-02 eta: 2 days, 1:40:47 time: 0.9005 data_time: 0.0245 memory: 11089 grad_norm: 3.9853 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7958 loss: 1.7958 2022/08/02 11:45:51 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 11:45:51 - mmengine - INFO - Epoch(train) [46][1879/1879] lr: 2.0000e-02 eta: 2 days, 1:40:47 time: 0.8866 data_time: 0.0215 memory: 11089 grad_norm: 4.0801 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.9787 loss: 1.9787 2022/08/02 11:46:11 - mmengine - INFO - Epoch(train) [47][20/1879] lr: 2.0000e-02 eta: 2 days, 1:39:36 time: 1.0135 data_time: 0.1416 memory: 11089 grad_norm: 3.8844 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9368 loss: 1.9368 2022/08/02 11:46:29 - mmengine - INFO - Epoch(train) [47][40/1879] lr: 2.0000e-02 eta: 2 days, 1:39:18 time: 0.9086 data_time: 0.0289 memory: 11089 grad_norm: 3.9392 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9611 loss: 1.9611 2022/08/02 11:46:48 - mmengine - INFO - Epoch(train) [47][60/1879] lr: 2.0000e-02 eta: 2 days, 1:39:00 time: 0.9219 data_time: 0.0269 memory: 11089 grad_norm: 3.9877 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8751 loss: 1.8751 2022/08/02 11:47:06 - mmengine - INFO - Epoch(train) [47][80/1879] lr: 2.0000e-02 eta: 2 days, 1:38:42 time: 0.9333 data_time: 0.0289 memory: 11089 grad_norm: 4.0537 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9724 loss: 1.9724 2022/08/02 11:47:25 - mmengine - INFO - Epoch(train) [47][100/1879] lr: 2.0000e-02 eta: 2 days, 1:38:25 time: 0.9282 data_time: 0.0359 memory: 11089 grad_norm: 3.9863 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9393 loss: 1.9393 2022/08/02 11:47:43 - mmengine - INFO - Epoch(train) [47][120/1879] lr: 2.0000e-02 eta: 2 days, 1:38:07 time: 0.9316 data_time: 0.0328 memory: 11089 grad_norm: 4.0039 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8262 loss: 1.8262 2022/08/02 11:48:02 - mmengine - INFO - Epoch(train) [47][140/1879] lr: 2.0000e-02 eta: 2 days, 1:37:49 time: 0.9107 data_time: 0.0285 memory: 11089 grad_norm: 3.9833 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 2.0435 loss: 2.0435 2022/08/02 11:48:20 - mmengine - INFO - Epoch(train) [47][160/1879] lr: 2.0000e-02 eta: 2 days, 1:37:31 time: 0.9202 data_time: 0.0234 memory: 11089 grad_norm: 3.9513 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9385 loss: 1.9385 2022/08/02 11:48:38 - mmengine - INFO - Epoch(train) [47][180/1879] lr: 2.0000e-02 eta: 2 days, 1:37:12 time: 0.9089 data_time: 0.0287 memory: 11089 grad_norm: 4.0017 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0011 loss: 2.0011 2022/08/02 11:48:57 - mmengine - INFO - Epoch(train) [47][200/1879] lr: 2.0000e-02 eta: 2 days, 1:36:54 time: 0.9224 data_time: 0.0290 memory: 11089 grad_norm: 3.9419 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0569 loss: 2.0569 2022/08/02 11:49:16 - mmengine - INFO - Epoch(train) [47][220/1879] lr: 2.0000e-02 eta: 2 days, 1:36:37 time: 0.9506 data_time: 0.0289 memory: 11089 grad_norm: 3.8522 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7910 loss: 1.7910 2022/08/02 11:49:34 - mmengine - INFO - Epoch(train) [47][240/1879] lr: 2.0000e-02 eta: 2 days, 1:36:20 time: 0.9278 data_time: 0.0278 memory: 11089 grad_norm: 3.9074 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9398 loss: 1.9398 2022/08/02 11:49:53 - mmengine - INFO - Epoch(train) [47][260/1879] lr: 2.0000e-02 eta: 2 days, 1:36:02 time: 0.9257 data_time: 0.0320 memory: 11089 grad_norm: 3.9972 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8153 loss: 1.8153 2022/08/02 11:50:11 - mmengine - INFO - Epoch(train) [47][280/1879] lr: 2.0000e-02 eta: 2 days, 1:35:43 time: 0.8973 data_time: 0.0222 memory: 11089 grad_norm: 3.9729 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9532 loss: 1.9532 2022/08/02 11:50:30 - mmengine - INFO - Epoch(train) [47][300/1879] lr: 2.0000e-02 eta: 2 days, 1:35:26 time: 0.9480 data_time: 0.0311 memory: 11089 grad_norm: 3.9300 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8802 loss: 1.8802 2022/08/02 11:50:49 - mmengine - INFO - Epoch(train) [47][320/1879] lr: 2.0000e-02 eta: 2 days, 1:35:09 time: 0.9458 data_time: 0.0409 memory: 11089 grad_norm: 4.0372 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0037 loss: 2.0037 2022/08/02 11:51:07 - mmengine - INFO - Epoch(train) [47][340/1879] lr: 2.0000e-02 eta: 2 days, 1:34:51 time: 0.9189 data_time: 0.0336 memory: 11089 grad_norm: 4.0136 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1738 loss: 2.1738 2022/08/02 11:51:26 - mmengine - INFO - Epoch(train) [47][360/1879] lr: 2.0000e-02 eta: 2 days, 1:34:33 time: 0.9249 data_time: 0.0381 memory: 11089 grad_norm: 3.9885 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.9351 loss: 1.9351 2022/08/02 11:51:44 - mmengine - INFO - Epoch(train) [47][380/1879] lr: 2.0000e-02 eta: 2 days, 1:34:15 time: 0.9142 data_time: 0.0300 memory: 11089 grad_norm: 4.0074 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8306 loss: 1.8306 2022/08/02 11:52:02 - mmengine - INFO - Epoch(train) [47][400/1879] lr: 2.0000e-02 eta: 2 days, 1:33:56 time: 0.9108 data_time: 0.0262 memory: 11089 grad_norm: 4.0487 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0399 loss: 2.0399 2022/08/02 11:52:21 - mmengine - INFO - Epoch(train) [47][420/1879] lr: 2.0000e-02 eta: 2 days, 1:33:39 time: 0.9328 data_time: 0.0259 memory: 11089 grad_norm: 3.8409 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9774 loss: 1.9774 2022/08/02 11:52:39 - mmengine - INFO - Epoch(train) [47][440/1879] lr: 2.0000e-02 eta: 2 days, 1:33:22 time: 0.9398 data_time: 0.0270 memory: 11089 grad_norm: 3.9258 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9391 loss: 1.9391 2022/08/02 11:52:58 - mmengine - INFO - Epoch(train) [47][460/1879] lr: 2.0000e-02 eta: 2 days, 1:33:04 time: 0.9292 data_time: 0.0254 memory: 11089 grad_norm: 3.9957 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8995 loss: 1.8995 2022/08/02 11:53:17 - mmengine - INFO - Epoch(train) [47][480/1879] lr: 2.0000e-02 eta: 2 days, 1:32:47 time: 0.9377 data_time: 0.0283 memory: 11089 grad_norm: 3.9411 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1005 loss: 2.1005 2022/08/02 11:53:35 - mmengine - INFO - Epoch(train) [47][500/1879] lr: 2.0000e-02 eta: 2 days, 1:32:28 time: 0.9115 data_time: 0.0233 memory: 11089 grad_norm: 3.9728 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8919 loss: 1.8919 2022/08/02 11:53:53 - mmengine - INFO - Epoch(train) [47][520/1879] lr: 2.0000e-02 eta: 2 days, 1:32:10 time: 0.9200 data_time: 0.0270 memory: 11089 grad_norm: 4.0185 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7608 loss: 1.7608 2022/08/02 11:54:12 - mmengine - INFO - Epoch(train) [47][540/1879] lr: 2.0000e-02 eta: 2 days, 1:31:52 time: 0.9129 data_time: 0.0258 memory: 11089 grad_norm: 4.0120 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8359 loss: 1.8359 2022/08/02 11:54:30 - mmengine - INFO - Epoch(train) [47][560/1879] lr: 2.0000e-02 eta: 2 days, 1:31:34 time: 0.9195 data_time: 0.0325 memory: 11089 grad_norm: 3.9733 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2501 loss: 2.2501 2022/08/02 11:54:36 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 11:54:48 - mmengine - INFO - Epoch(train) [47][580/1879] lr: 2.0000e-02 eta: 2 days, 1:31:14 time: 0.8969 data_time: 0.0209 memory: 11089 grad_norm: 3.9591 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0286 loss: 2.0286 2022/08/02 11:55:07 - mmengine - INFO - Epoch(train) [47][600/1879] lr: 2.0000e-02 eta: 2 days, 1:30:57 time: 0.9322 data_time: 0.0283 memory: 11089 grad_norm: 3.9449 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9512 loss: 1.9512 2022/08/02 11:55:25 - mmengine - INFO - Epoch(train) [47][620/1879] lr: 2.0000e-02 eta: 2 days, 1:30:38 time: 0.8970 data_time: 0.0250 memory: 11089 grad_norm: 4.0046 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9767 loss: 1.9767 2022/08/02 11:55:43 - mmengine - INFO - Epoch(train) [47][640/1879] lr: 2.0000e-02 eta: 2 days, 1:30:20 time: 0.9265 data_time: 0.0245 memory: 11089 grad_norm: 3.9600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9145 loss: 1.9145 2022/08/02 11:56:02 - mmengine - INFO - Epoch(train) [47][660/1879] lr: 2.0000e-02 eta: 2 days, 1:30:03 time: 0.9366 data_time: 0.0374 memory: 11089 grad_norm: 3.9810 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0242 loss: 2.0242 2022/08/02 11:56:20 - mmengine - INFO - Epoch(train) [47][680/1879] lr: 2.0000e-02 eta: 2 days, 1:29:45 time: 0.9194 data_time: 0.0240 memory: 11089 grad_norm: 4.0398 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0069 loss: 2.0069 2022/08/02 11:56:39 - mmengine - INFO - Epoch(train) [47][700/1879] lr: 2.0000e-02 eta: 2 days, 1:29:27 time: 0.9327 data_time: 0.0322 memory: 11089 grad_norm: 4.0162 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9231 loss: 1.9231 2022/08/02 11:56:57 - mmengine - INFO - Epoch(train) [47][720/1879] lr: 2.0000e-02 eta: 2 days, 1:29:09 time: 0.9212 data_time: 0.0266 memory: 11089 grad_norm: 4.0868 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6080 loss: 1.6080 2022/08/02 11:57:16 - mmengine - INFO - Epoch(train) [47][740/1879] lr: 2.0000e-02 eta: 2 days, 1:28:51 time: 0.9285 data_time: 0.0252 memory: 11089 grad_norm: 4.0147 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9298 loss: 1.9298 2022/08/02 11:57:35 - mmengine - INFO - Epoch(train) [47][760/1879] lr: 2.0000e-02 eta: 2 days, 1:28:34 time: 0.9440 data_time: 0.0311 memory: 11089 grad_norm: 4.0185 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9024 loss: 1.9024 2022/08/02 11:57:53 - mmengine - INFO - Epoch(train) [47][780/1879] lr: 2.0000e-02 eta: 2 days, 1:28:16 time: 0.9134 data_time: 0.0316 memory: 11089 grad_norm: 4.0690 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0658 loss: 2.0658 2022/08/02 11:58:11 - mmengine - INFO - Epoch(train) [47][800/1879] lr: 2.0000e-02 eta: 2 days, 1:27:57 time: 0.9036 data_time: 0.0294 memory: 11089 grad_norm: 3.9804 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9429 loss: 1.9429 2022/08/02 11:58:30 - mmengine - INFO - Epoch(train) [47][820/1879] lr: 2.0000e-02 eta: 2 days, 1:27:39 time: 0.9279 data_time: 0.0269 memory: 11089 grad_norm: 3.9555 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8199 loss: 1.8199 2022/08/02 11:58:49 - mmengine - INFO - Epoch(train) [47][840/1879] lr: 2.0000e-02 eta: 2 days, 1:27:22 time: 0.9441 data_time: 0.0397 memory: 11089 grad_norm: 4.0023 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9619 loss: 1.9619 2022/08/02 11:59:07 - mmengine - INFO - Epoch(train) [47][860/1879] lr: 2.0000e-02 eta: 2 days, 1:27:05 time: 0.9241 data_time: 0.0277 memory: 11089 grad_norm: 3.9572 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0628 loss: 2.0628 2022/08/02 11:59:26 - mmengine - INFO - Epoch(train) [47][880/1879] lr: 2.0000e-02 eta: 2 days, 1:26:48 time: 0.9455 data_time: 0.0299 memory: 11089 grad_norm: 4.0615 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8252 loss: 1.8252 2022/08/02 11:59:44 - mmengine - INFO - Epoch(train) [47][900/1879] lr: 2.0000e-02 eta: 2 days, 1:26:29 time: 0.9167 data_time: 0.0272 memory: 11089 grad_norm: 3.9961 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8298 loss: 1.8298 2022/08/02 12:00:06 - mmengine - INFO - Epoch(train) [47][920/1879] lr: 2.0000e-02 eta: 2 days, 1:26:19 time: 1.0829 data_time: 0.0330 memory: 11089 grad_norm: 3.9678 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8901 loss: 1.8901 2022/08/02 12:00:25 - mmengine - INFO - Epoch(train) [47][940/1879] lr: 2.0000e-02 eta: 2 days, 1:26:01 time: 0.9317 data_time: 0.0313 memory: 11089 grad_norm: 4.1143 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9868 loss: 1.9868 2022/08/02 12:00:43 - mmengine - INFO - Epoch(train) [47][960/1879] lr: 2.0000e-02 eta: 2 days, 1:25:42 time: 0.8994 data_time: 0.0225 memory: 11089 grad_norm: 4.0315 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9475 loss: 1.9475 2022/08/02 12:01:01 - mmengine - INFO - Epoch(train) [47][980/1879] lr: 2.0000e-02 eta: 2 days, 1:25:24 time: 0.9247 data_time: 0.0250 memory: 11089 grad_norm: 3.9807 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7944 loss: 1.7944 2022/08/02 12:01:20 - mmengine - INFO - Epoch(train) [47][1000/1879] lr: 2.0000e-02 eta: 2 days, 1:25:06 time: 0.9279 data_time: 0.0360 memory: 11089 grad_norm: 4.0273 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.7290 loss: 1.7290 2022/08/02 12:01:38 - mmengine - INFO - Epoch(train) [47][1020/1879] lr: 2.0000e-02 eta: 2 days, 1:24:48 time: 0.9201 data_time: 0.0322 memory: 11089 grad_norm: 4.0219 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0948 loss: 2.0948 2022/08/02 12:01:57 - mmengine - INFO - Epoch(train) [47][1040/1879] lr: 2.0000e-02 eta: 2 days, 1:24:31 time: 0.9308 data_time: 0.0254 memory: 11089 grad_norm: 3.9350 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6931 loss: 1.6931 2022/08/02 12:02:16 - mmengine - INFO - Epoch(train) [47][1060/1879] lr: 2.0000e-02 eta: 2 days, 1:24:14 time: 0.9402 data_time: 0.0309 memory: 11089 grad_norm: 3.9879 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1752 loss: 2.1752 2022/08/02 12:02:34 - mmengine - INFO - Epoch(train) [47][1080/1879] lr: 2.0000e-02 eta: 2 days, 1:23:55 time: 0.9088 data_time: 0.0275 memory: 11089 grad_norm: 4.0341 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0578 loss: 2.0578 2022/08/02 12:02:52 - mmengine - INFO - Epoch(train) [47][1100/1879] lr: 2.0000e-02 eta: 2 days, 1:23:37 time: 0.9303 data_time: 0.0319 memory: 11089 grad_norm: 3.9819 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0703 loss: 2.0703 2022/08/02 12:03:11 - mmengine - INFO - Epoch(train) [47][1120/1879] lr: 2.0000e-02 eta: 2 days, 1:23:19 time: 0.9099 data_time: 0.0250 memory: 11089 grad_norm: 3.9668 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9940 loss: 1.9940 2022/08/02 12:03:29 - mmengine - INFO - Epoch(train) [47][1140/1879] lr: 2.0000e-02 eta: 2 days, 1:23:01 time: 0.9360 data_time: 0.0314 memory: 11089 grad_norm: 3.8567 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8658 loss: 1.8658 2022/08/02 12:03:48 - mmengine - INFO - Epoch(train) [47][1160/1879] lr: 2.0000e-02 eta: 2 days, 1:22:44 time: 0.9268 data_time: 0.0252 memory: 11089 grad_norm: 3.9505 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8472 loss: 1.8472 2022/08/02 12:04:06 - mmengine - INFO - Epoch(train) [47][1180/1879] lr: 2.0000e-02 eta: 2 days, 1:22:25 time: 0.9088 data_time: 0.0223 memory: 11089 grad_norm: 3.9041 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9709 loss: 1.9709 2022/08/02 12:04:25 - mmengine - INFO - Epoch(train) [47][1200/1879] lr: 2.0000e-02 eta: 2 days, 1:22:07 time: 0.9315 data_time: 0.0293 memory: 11089 grad_norm: 4.0102 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9548 loss: 1.9548 2022/08/02 12:04:43 - mmengine - INFO - Epoch(train) [47][1220/1879] lr: 2.0000e-02 eta: 2 days, 1:21:48 time: 0.8985 data_time: 0.0268 memory: 11089 grad_norm: 4.0392 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0340 loss: 2.0340 2022/08/02 12:05:01 - mmengine - INFO - Epoch(train) [47][1240/1879] lr: 2.0000e-02 eta: 2 days, 1:21:31 time: 0.9268 data_time: 0.0267 memory: 11089 grad_norm: 3.8669 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9112 loss: 1.9112 2022/08/02 12:05:20 - mmengine - INFO - Epoch(train) [47][1260/1879] lr: 2.0000e-02 eta: 2 days, 1:21:14 time: 0.9525 data_time: 0.0407 memory: 11089 grad_norm: 3.9942 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0543 loss: 2.0543 2022/08/02 12:05:38 - mmengine - INFO - Epoch(train) [47][1280/1879] lr: 2.0000e-02 eta: 2 days, 1:20:56 time: 0.9139 data_time: 0.0249 memory: 11089 grad_norm: 3.9780 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9749 loss: 1.9749 2022/08/02 12:05:57 - mmengine - INFO - Epoch(train) [47][1300/1879] lr: 2.0000e-02 eta: 2 days, 1:20:38 time: 0.9257 data_time: 0.0286 memory: 11089 grad_norm: 4.0566 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9417 loss: 1.9417 2022/08/02 12:06:15 - mmengine - INFO - Epoch(train) [47][1320/1879] lr: 2.0000e-02 eta: 2 days, 1:20:19 time: 0.9057 data_time: 0.0225 memory: 11089 grad_norm: 3.8638 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0899 loss: 2.0899 2022/08/02 12:06:33 - mmengine - INFO - Epoch(train) [47][1340/1879] lr: 2.0000e-02 eta: 2 days, 1:20:01 time: 0.9138 data_time: 0.0241 memory: 11089 grad_norm: 3.9510 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2395 loss: 2.2395 2022/08/02 12:06:51 - mmengine - INFO - Epoch(train) [47][1360/1879] lr: 2.0000e-02 eta: 2 days, 1:19:42 time: 0.9071 data_time: 0.0276 memory: 11089 grad_norm: 3.9781 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1393 loss: 2.1393 2022/08/02 12:07:10 - mmengine - INFO - Epoch(train) [47][1380/1879] lr: 2.0000e-02 eta: 2 days, 1:19:24 time: 0.9277 data_time: 0.0320 memory: 11089 grad_norm: 4.0394 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9223 loss: 1.9223 2022/08/02 12:07:28 - mmengine - INFO - Epoch(train) [47][1400/1879] lr: 2.0000e-02 eta: 2 days, 1:19:06 time: 0.9074 data_time: 0.0245 memory: 11089 grad_norm: 3.9612 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9435 loss: 1.9435 2022/08/02 12:07:46 - mmengine - INFO - Epoch(train) [47][1420/1879] lr: 2.0000e-02 eta: 2 days, 1:18:47 time: 0.9098 data_time: 0.0256 memory: 11089 grad_norm: 4.0128 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9734 loss: 1.9734 2022/08/02 12:08:04 - mmengine - INFO - Epoch(train) [47][1440/1879] lr: 2.0000e-02 eta: 2 days, 1:18:28 time: 0.9009 data_time: 0.0255 memory: 11089 grad_norm: 4.0001 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8623 loss: 1.8623 2022/08/02 12:08:23 - mmengine - INFO - Epoch(train) [47][1460/1879] lr: 2.0000e-02 eta: 2 days, 1:18:10 time: 0.9115 data_time: 0.0296 memory: 11089 grad_norm: 3.9415 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1074 loss: 2.1074 2022/08/02 12:08:41 - mmengine - INFO - Epoch(train) [47][1480/1879] lr: 2.0000e-02 eta: 2 days, 1:17:52 time: 0.9373 data_time: 0.0241 memory: 11089 grad_norm: 4.0281 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9462 loss: 1.9462 2022/08/02 12:09:00 - mmengine - INFO - Epoch(train) [47][1500/1879] lr: 2.0000e-02 eta: 2 days, 1:17:35 time: 0.9258 data_time: 0.0264 memory: 11089 grad_norm: 4.0137 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1829 loss: 2.1829 2022/08/02 12:09:18 - mmengine - INFO - Epoch(train) [47][1520/1879] lr: 2.0000e-02 eta: 2 days, 1:17:17 time: 0.9288 data_time: 0.0285 memory: 11089 grad_norm: 3.9579 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1174 loss: 2.1174 2022/08/02 12:09:37 - mmengine - INFO - Epoch(train) [47][1540/1879] lr: 2.0000e-02 eta: 2 days, 1:16:59 time: 0.9172 data_time: 0.0310 memory: 11089 grad_norm: 3.9993 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0949 loss: 2.0949 2022/08/02 12:09:55 - mmengine - INFO - Epoch(train) [47][1560/1879] lr: 2.0000e-02 eta: 2 days, 1:16:41 time: 0.9318 data_time: 0.0250 memory: 11089 grad_norm: 3.9033 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1056 loss: 2.1056 2022/08/02 12:10:01 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 12:10:14 - mmengine - INFO - Epoch(train) [47][1580/1879] lr: 2.0000e-02 eta: 2 days, 1:16:23 time: 0.9171 data_time: 0.0274 memory: 11089 grad_norm: 3.9150 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9496 loss: 1.9496 2022/08/02 12:10:32 - mmengine - INFO - Epoch(train) [47][1600/1879] lr: 2.0000e-02 eta: 2 days, 1:16:04 time: 0.9107 data_time: 0.0249 memory: 11089 grad_norm: 3.9549 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1158 loss: 2.1158 2022/08/02 12:10:51 - mmengine - INFO - Epoch(train) [47][1620/1879] lr: 2.0000e-02 eta: 2 days, 1:15:46 time: 0.9234 data_time: 0.0237 memory: 11089 grad_norm: 4.0857 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9242 loss: 1.9242 2022/08/02 12:11:09 - mmengine - INFO - Epoch(train) [47][1640/1879] lr: 2.0000e-02 eta: 2 days, 1:15:29 time: 0.9231 data_time: 0.0290 memory: 11089 grad_norm: 4.0391 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9195 loss: 1.9195 2022/08/02 12:11:27 - mmengine - INFO - Epoch(train) [47][1660/1879] lr: 2.0000e-02 eta: 2 days, 1:15:10 time: 0.9129 data_time: 0.0287 memory: 11089 grad_norm: 3.9569 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8500 loss: 1.8500 2022/08/02 12:11:45 - mmengine - INFO - Epoch(train) [47][1680/1879] lr: 2.0000e-02 eta: 2 days, 1:14:52 time: 0.9109 data_time: 0.0240 memory: 11089 grad_norm: 4.0505 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8819 loss: 1.8819 2022/08/02 12:12:04 - mmengine - INFO - Epoch(train) [47][1700/1879] lr: 2.0000e-02 eta: 2 days, 1:14:33 time: 0.9121 data_time: 0.0286 memory: 11089 grad_norm: 3.8653 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.1465 loss: 2.1465 2022/08/02 12:12:22 - mmengine - INFO - Epoch(train) [47][1720/1879] lr: 2.0000e-02 eta: 2 days, 1:14:16 time: 0.9311 data_time: 0.0269 memory: 11089 grad_norm: 3.9905 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9838 loss: 1.9838 2022/08/02 12:12:41 - mmengine - INFO - Epoch(train) [47][1740/1879] lr: 2.0000e-02 eta: 2 days, 1:13:58 time: 0.9340 data_time: 0.0285 memory: 11089 grad_norm: 4.0093 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0808 loss: 2.0808 2022/08/02 12:12:59 - mmengine - INFO - Epoch(train) [47][1760/1879] lr: 2.0000e-02 eta: 2 days, 1:13:39 time: 0.9046 data_time: 0.0296 memory: 11089 grad_norm: 3.9610 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9935 loss: 1.9935 2022/08/02 12:13:18 - mmengine - INFO - Epoch(train) [47][1780/1879] lr: 2.0000e-02 eta: 2 days, 1:13:21 time: 0.9214 data_time: 0.0325 memory: 11089 grad_norm: 3.9641 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0557 loss: 2.0557 2022/08/02 12:13:36 - mmengine - INFO - Epoch(train) [47][1800/1879] lr: 2.0000e-02 eta: 2 days, 1:13:04 time: 0.9290 data_time: 0.0249 memory: 11089 grad_norm: 3.9538 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8993 loss: 1.8993 2022/08/02 12:13:55 - mmengine - INFO - Epoch(train) [47][1820/1879] lr: 2.0000e-02 eta: 2 days, 1:12:46 time: 0.9253 data_time: 0.0406 memory: 11089 grad_norm: 4.0707 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9647 loss: 1.9647 2022/08/02 12:14:13 - mmengine - INFO - Epoch(train) [47][1840/1879] lr: 2.0000e-02 eta: 2 days, 1:12:27 time: 0.9105 data_time: 0.0295 memory: 11089 grad_norm: 3.9604 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0305 loss: 2.0305 2022/08/02 12:14:31 - mmengine - INFO - Epoch(train) [47][1860/1879] lr: 2.0000e-02 eta: 2 days, 1:12:09 time: 0.9157 data_time: 0.0293 memory: 11089 grad_norm: 3.8871 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9485 loss: 1.9485 2022/08/02 12:14:48 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 12:14:48 - mmengine - INFO - Epoch(train) [47][1879/1879] lr: 2.0000e-02 eta: 2 days, 1:12:09 time: 0.8798 data_time: 0.0231 memory: 11089 grad_norm: 4.1567 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.9272 loss: 1.9272 2022/08/02 12:15:09 - mmengine - INFO - Epoch(train) [48][20/1879] lr: 2.0000e-02 eta: 2 days, 1:11:00 time: 1.0268 data_time: 0.1203 memory: 11089 grad_norm: 3.9844 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.8516 loss: 1.8516 2022/08/02 12:15:27 - mmengine - INFO - Epoch(train) [48][40/1879] lr: 2.0000e-02 eta: 2 days, 1:10:42 time: 0.9083 data_time: 0.0241 memory: 11089 grad_norm: 3.8996 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7336 loss: 1.7336 2022/08/02 12:15:45 - mmengine - INFO - Epoch(train) [48][60/1879] lr: 2.0000e-02 eta: 2 days, 1:10:23 time: 0.9128 data_time: 0.0310 memory: 11089 grad_norm: 3.9075 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0143 loss: 2.0143 2022/08/02 12:16:03 - mmengine - INFO - Epoch(train) [48][80/1879] lr: 2.0000e-02 eta: 2 days, 1:10:05 time: 0.9240 data_time: 0.0284 memory: 11089 grad_norm: 4.0031 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0229 loss: 2.0229 2022/08/02 12:16:22 - mmengine - INFO - Epoch(train) [48][100/1879] lr: 2.0000e-02 eta: 2 days, 1:09:47 time: 0.9057 data_time: 0.0288 memory: 11089 grad_norm: 3.9828 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8114 loss: 1.8114 2022/08/02 12:16:40 - mmengine - INFO - Epoch(train) [48][120/1879] lr: 2.0000e-02 eta: 2 days, 1:09:28 time: 0.9181 data_time: 0.0317 memory: 11089 grad_norm: 3.9803 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9048 loss: 1.9048 2022/08/02 12:16:59 - mmengine - INFO - Epoch(train) [48][140/1879] lr: 2.0000e-02 eta: 2 days, 1:09:11 time: 0.9427 data_time: 0.0326 memory: 11089 grad_norm: 4.0991 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0058 loss: 2.0058 2022/08/02 12:17:18 - mmengine - INFO - Epoch(train) [48][160/1879] lr: 2.0000e-02 eta: 2 days, 1:08:54 time: 0.9408 data_time: 0.0303 memory: 11089 grad_norm: 4.0028 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0027 loss: 2.0027 2022/08/02 12:17:36 - mmengine - INFO - Epoch(train) [48][180/1879] lr: 2.0000e-02 eta: 2 days, 1:08:36 time: 0.9287 data_time: 0.0328 memory: 11089 grad_norm: 3.9093 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0691 loss: 2.0691 2022/08/02 12:17:54 - mmengine - INFO - Epoch(train) [48][200/1879] lr: 2.0000e-02 eta: 2 days, 1:08:18 time: 0.9078 data_time: 0.0263 memory: 11089 grad_norm: 3.9946 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8778 loss: 1.8778 2022/08/02 12:18:13 - mmengine - INFO - Epoch(train) [48][220/1879] lr: 2.0000e-02 eta: 2 days, 1:08:00 time: 0.9179 data_time: 0.0239 memory: 11089 grad_norm: 3.9180 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0136 loss: 2.0136 2022/08/02 12:18:31 - mmengine - INFO - Epoch(train) [48][240/1879] lr: 2.0000e-02 eta: 2 days, 1:07:42 time: 0.9214 data_time: 0.0247 memory: 11089 grad_norm: 4.1186 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9781 loss: 1.9781 2022/08/02 12:18:50 - mmengine - INFO - Epoch(train) [48][260/1879] lr: 2.0000e-02 eta: 2 days, 1:07:24 time: 0.9254 data_time: 0.0269 memory: 11089 grad_norm: 3.9985 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0131 loss: 2.0131 2022/08/02 12:19:08 - mmengine - INFO - Epoch(train) [48][280/1879] lr: 2.0000e-02 eta: 2 days, 1:07:05 time: 0.9127 data_time: 0.0334 memory: 11089 grad_norm: 3.9868 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9793 loss: 1.9793 2022/08/02 12:19:27 - mmengine - INFO - Epoch(train) [48][300/1879] lr: 2.0000e-02 eta: 2 days, 1:06:48 time: 0.9304 data_time: 0.0342 memory: 11089 grad_norm: 3.9455 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.0495 loss: 2.0495 2022/08/02 12:19:45 - mmengine - INFO - Epoch(train) [48][320/1879] lr: 2.0000e-02 eta: 2 days, 1:06:30 time: 0.9241 data_time: 0.0303 memory: 11089 grad_norm: 4.0161 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0220 loss: 2.0220 2022/08/02 12:20:03 - mmengine - INFO - Epoch(train) [48][340/1879] lr: 2.0000e-02 eta: 2 days, 1:06:12 time: 0.9149 data_time: 0.0280 memory: 11089 grad_norm: 3.9759 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0495 loss: 2.0495 2022/08/02 12:20:23 - mmengine - INFO - Epoch(train) [48][360/1879] lr: 2.0000e-02 eta: 2 days, 1:05:55 time: 0.9543 data_time: 0.0291 memory: 11089 grad_norm: 3.9693 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9246 loss: 1.9246 2022/08/02 12:20:41 - mmengine - INFO - Epoch(train) [48][380/1879] lr: 2.0000e-02 eta: 2 days, 1:05:36 time: 0.9102 data_time: 0.0344 memory: 11089 grad_norm: 3.9018 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6926 loss: 1.6926 2022/08/02 12:20:59 - mmengine - INFO - Epoch(train) [48][400/1879] lr: 2.0000e-02 eta: 2 days, 1:05:19 time: 0.9235 data_time: 0.0327 memory: 11089 grad_norm: 4.0261 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9901 loss: 1.9901 2022/08/02 12:21:18 - mmengine - INFO - Epoch(train) [48][420/1879] lr: 2.0000e-02 eta: 2 days, 1:05:01 time: 0.9226 data_time: 0.0283 memory: 11089 grad_norm: 3.9380 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9745 loss: 1.9745 2022/08/02 12:21:37 - mmengine - INFO - Epoch(train) [48][440/1879] lr: 2.0000e-02 eta: 2 days, 1:04:44 time: 0.9501 data_time: 0.0289 memory: 11089 grad_norm: 3.9745 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8250 loss: 1.8250 2022/08/02 12:21:55 - mmengine - INFO - Epoch(train) [48][460/1879] lr: 2.0000e-02 eta: 2 days, 1:04:26 time: 0.9281 data_time: 0.0301 memory: 11089 grad_norm: 3.9847 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0137 loss: 2.0137 2022/08/02 12:22:13 - mmengine - INFO - Epoch(train) [48][480/1879] lr: 2.0000e-02 eta: 2 days, 1:04:08 time: 0.9138 data_time: 0.0328 memory: 11089 grad_norm: 3.9028 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7931 loss: 1.7931 2022/08/02 12:22:32 - mmengine - INFO - Epoch(train) [48][500/1879] lr: 2.0000e-02 eta: 2 days, 1:03:50 time: 0.9238 data_time: 0.0306 memory: 11089 grad_norm: 3.9741 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6954 loss: 1.6954 2022/08/02 12:22:51 - mmengine - INFO - Epoch(train) [48][520/1879] lr: 2.0000e-02 eta: 2 days, 1:03:32 time: 0.9318 data_time: 0.0251 memory: 11089 grad_norm: 3.9292 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1814 loss: 2.1814 2022/08/02 12:23:08 - mmengine - INFO - Epoch(train) [48][540/1879] lr: 2.0000e-02 eta: 2 days, 1:03:13 time: 0.8883 data_time: 0.0233 memory: 11089 grad_norm: 3.9129 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8536 loss: 1.8536 2022/08/02 12:23:27 - mmengine - INFO - Epoch(train) [48][560/1879] lr: 2.0000e-02 eta: 2 days, 1:02:56 time: 0.9398 data_time: 0.0302 memory: 11089 grad_norm: 4.1216 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9571 loss: 1.9571 2022/08/02 12:23:45 - mmengine - INFO - Epoch(train) [48][580/1879] lr: 2.0000e-02 eta: 2 days, 1:02:37 time: 0.9035 data_time: 0.0257 memory: 11089 grad_norm: 3.9299 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9214 loss: 1.9214 2022/08/02 12:24:03 - mmengine - INFO - Epoch(train) [48][600/1879] lr: 2.0000e-02 eta: 2 days, 1:02:18 time: 0.9085 data_time: 0.0240 memory: 11089 grad_norm: 4.1153 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9697 loss: 1.9697 2022/08/02 12:24:21 - mmengine - INFO - Epoch(train) [48][620/1879] lr: 2.0000e-02 eta: 2 days, 1:01:59 time: 0.9005 data_time: 0.0268 memory: 11089 grad_norm: 3.9848 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8314 loss: 1.8314 2022/08/02 12:24:40 - mmengine - INFO - Epoch(train) [48][640/1879] lr: 2.0000e-02 eta: 2 days, 1:01:42 time: 0.9349 data_time: 0.0354 memory: 11089 grad_norm: 4.0010 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0905 loss: 2.0905 2022/08/02 12:24:58 - mmengine - INFO - Epoch(train) [48][660/1879] lr: 2.0000e-02 eta: 2 days, 1:01:23 time: 0.9040 data_time: 0.0276 memory: 11089 grad_norm: 3.9343 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9989 loss: 1.9989 2022/08/02 12:25:17 - mmengine - INFO - Epoch(train) [48][680/1879] lr: 2.0000e-02 eta: 2 days, 1:01:05 time: 0.9275 data_time: 0.0282 memory: 11089 grad_norm: 4.0902 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7767 loss: 1.7767 2022/08/02 12:25:23 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 12:25:35 - mmengine - INFO - Epoch(train) [48][700/1879] lr: 2.0000e-02 eta: 2 days, 1:00:47 time: 0.9137 data_time: 0.0276 memory: 11089 grad_norm: 4.0401 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9174 loss: 1.9174 2022/08/02 12:25:54 - mmengine - INFO - Epoch(train) [48][720/1879] lr: 2.0000e-02 eta: 2 days, 1:00:30 time: 0.9396 data_time: 0.0376 memory: 11089 grad_norm: 4.0556 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6364 loss: 1.6364 2022/08/02 12:26:12 - mmengine - INFO - Epoch(train) [48][740/1879] lr: 2.0000e-02 eta: 2 days, 1:00:11 time: 0.9182 data_time: 0.0290 memory: 11089 grad_norm: 3.9551 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9780 loss: 1.9780 2022/08/02 12:26:30 - mmengine - INFO - Epoch(train) [48][760/1879] lr: 2.0000e-02 eta: 2 days, 0:59:53 time: 0.9068 data_time: 0.0262 memory: 11089 grad_norm: 3.9446 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.9825 loss: 1.9825 2022/08/02 12:26:48 - mmengine - INFO - Epoch(train) [48][780/1879] lr: 2.0000e-02 eta: 2 days, 0:59:34 time: 0.9116 data_time: 0.0278 memory: 11089 grad_norm: 3.9369 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9332 loss: 1.9332 2022/08/02 12:27:07 - mmengine - INFO - Epoch(train) [48][800/1879] lr: 2.0000e-02 eta: 2 days, 0:59:17 time: 0.9338 data_time: 0.0265 memory: 11089 grad_norm: 3.9617 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5286 loss: 1.5286 2022/08/02 12:27:25 - mmengine - INFO - Epoch(train) [48][820/1879] lr: 2.0000e-02 eta: 2 days, 0:58:58 time: 0.9040 data_time: 0.0232 memory: 11089 grad_norm: 3.9644 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0255 loss: 2.0255 2022/08/02 12:27:43 - mmengine - INFO - Epoch(train) [48][840/1879] lr: 2.0000e-02 eta: 2 days, 0:58:39 time: 0.9072 data_time: 0.0294 memory: 11089 grad_norm: 3.9719 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9693 loss: 1.9693 2022/08/02 12:28:02 - mmengine - INFO - Epoch(train) [48][860/1879] lr: 2.0000e-02 eta: 2 days, 0:58:21 time: 0.9163 data_time: 0.0304 memory: 11089 grad_norm: 4.1007 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9337 loss: 1.9337 2022/08/02 12:28:20 - mmengine - INFO - Epoch(train) [48][880/1879] lr: 2.0000e-02 eta: 2 days, 0:58:03 time: 0.9073 data_time: 0.0227 memory: 11089 grad_norm: 3.9212 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8841 loss: 1.8841 2022/08/02 12:28:38 - mmengine - INFO - Epoch(train) [48][900/1879] lr: 2.0000e-02 eta: 2 days, 0:57:44 time: 0.9179 data_time: 0.0259 memory: 11089 grad_norm: 3.9754 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1298 loss: 2.1298 2022/08/02 12:28:56 - mmengine - INFO - Epoch(train) [48][920/1879] lr: 2.0000e-02 eta: 2 days, 0:57:26 time: 0.9112 data_time: 0.0249 memory: 11089 grad_norm: 4.0968 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0584 loss: 2.0584 2022/08/02 12:29:15 - mmengine - INFO - Epoch(train) [48][940/1879] lr: 2.0000e-02 eta: 2 days, 0:57:08 time: 0.9264 data_time: 0.0378 memory: 11089 grad_norm: 4.0072 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1256 loss: 2.1256 2022/08/02 12:29:33 - mmengine - INFO - Epoch(train) [48][960/1879] lr: 2.0000e-02 eta: 2 days, 0:56:50 time: 0.9201 data_time: 0.0267 memory: 11089 grad_norm: 3.9194 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8025 loss: 1.8025 2022/08/02 12:29:52 - mmengine - INFO - Epoch(train) [48][980/1879] lr: 2.0000e-02 eta: 2 days, 0:56:32 time: 0.9164 data_time: 0.0274 memory: 11089 grad_norm: 3.9342 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9478 loss: 1.9478 2022/08/02 12:30:10 - mmengine - INFO - Epoch(train) [48][1000/1879] lr: 2.0000e-02 eta: 2 days, 0:56:14 time: 0.9328 data_time: 0.0308 memory: 11089 grad_norm: 3.9066 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8333 loss: 1.8333 2022/08/02 12:30:28 - mmengine - INFO - Epoch(train) [48][1020/1879] lr: 2.0000e-02 eta: 2 days, 0:55:55 time: 0.9026 data_time: 0.0309 memory: 11089 grad_norm: 3.9809 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6355 loss: 1.6355 2022/08/02 12:30:47 - mmengine - INFO - Epoch(train) [48][1040/1879] lr: 2.0000e-02 eta: 2 days, 0:55:37 time: 0.9212 data_time: 0.0273 memory: 11089 grad_norm: 4.0375 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9327 loss: 1.9327 2022/08/02 12:31:05 - mmengine - INFO - Epoch(train) [48][1060/1879] lr: 2.0000e-02 eta: 2 days, 0:55:20 time: 0.9276 data_time: 0.0342 memory: 11089 grad_norm: 4.0126 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8403 loss: 1.8403 2022/08/02 12:31:24 - mmengine - INFO - Epoch(train) [48][1080/1879] lr: 2.0000e-02 eta: 2 days, 0:55:01 time: 0.9126 data_time: 0.0280 memory: 11089 grad_norm: 4.0456 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1947 loss: 2.1947 2022/08/02 12:31:42 - mmengine - INFO - Epoch(train) [48][1100/1879] lr: 2.0000e-02 eta: 2 days, 0:54:43 time: 0.9125 data_time: 0.0278 memory: 11089 grad_norm: 4.0626 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8657 loss: 1.8657 2022/08/02 12:32:00 - mmengine - INFO - Epoch(train) [48][1120/1879] lr: 2.0000e-02 eta: 2 days, 0:54:24 time: 0.9021 data_time: 0.0241 memory: 11089 grad_norm: 3.9531 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8056 loss: 1.8056 2022/08/02 12:32:18 - mmengine - INFO - Epoch(train) [48][1140/1879] lr: 2.0000e-02 eta: 2 days, 0:54:06 time: 0.9148 data_time: 0.0269 memory: 11089 grad_norm: 4.0144 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9407 loss: 1.9407 2022/08/02 12:32:37 - mmengine - INFO - Epoch(train) [48][1160/1879] lr: 2.0000e-02 eta: 2 days, 0:53:47 time: 0.9146 data_time: 0.0236 memory: 11089 grad_norm: 4.0189 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8513 loss: 1.8513 2022/08/02 12:32:55 - mmengine - INFO - Epoch(train) [48][1180/1879] lr: 2.0000e-02 eta: 2 days, 0:53:29 time: 0.9178 data_time: 0.0297 memory: 11089 grad_norm: 4.0476 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0722 loss: 2.0722 2022/08/02 12:33:14 - mmengine - INFO - Epoch(train) [48][1200/1879] lr: 2.0000e-02 eta: 2 days, 0:53:12 time: 0.9390 data_time: 0.0300 memory: 11089 grad_norm: 4.0835 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0556 loss: 2.0556 2022/08/02 12:33:32 - mmengine - INFO - Epoch(train) [48][1220/1879] lr: 2.0000e-02 eta: 2 days, 0:52:54 time: 0.9346 data_time: 0.0274 memory: 11089 grad_norm: 4.0176 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0360 loss: 2.0360 2022/08/02 12:33:51 - mmengine - INFO - Epoch(train) [48][1240/1879] lr: 2.0000e-02 eta: 2 days, 0:52:36 time: 0.9096 data_time: 0.0262 memory: 11089 grad_norm: 3.9315 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8466 loss: 1.8466 2022/08/02 12:34:09 - mmengine - INFO - Epoch(train) [48][1260/1879] lr: 2.0000e-02 eta: 2 days, 0:52:18 time: 0.9162 data_time: 0.0206 memory: 11089 grad_norm: 4.0638 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8725 loss: 1.8725 2022/08/02 12:34:27 - mmengine - INFO - Epoch(train) [48][1280/1879] lr: 2.0000e-02 eta: 2 days, 0:51:59 time: 0.9032 data_time: 0.0279 memory: 11089 grad_norm: 4.0096 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1710 loss: 2.1710 2022/08/02 12:34:45 - mmengine - INFO - Epoch(train) [48][1300/1879] lr: 2.0000e-02 eta: 2 days, 0:51:41 time: 0.9143 data_time: 0.0288 memory: 11089 grad_norm: 3.9390 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7863 loss: 1.7863 2022/08/02 12:35:04 - mmengine - INFO - Epoch(train) [48][1320/1879] lr: 2.0000e-02 eta: 2 days, 0:51:22 time: 0.9119 data_time: 0.0260 memory: 11089 grad_norm: 3.9018 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9664 loss: 1.9664 2022/08/02 12:35:22 - mmengine - INFO - Epoch(train) [48][1340/1879] lr: 2.0000e-02 eta: 2 days, 0:51:04 time: 0.9158 data_time: 0.0259 memory: 11089 grad_norm: 4.1049 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1372 loss: 2.1372 2022/08/02 12:35:40 - mmengine - INFO - Epoch(train) [48][1360/1879] lr: 2.0000e-02 eta: 2 days, 0:50:45 time: 0.9082 data_time: 0.0261 memory: 11089 grad_norm: 3.9664 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0156 loss: 2.0156 2022/08/02 12:35:58 - mmengine - INFO - Epoch(train) [48][1380/1879] lr: 2.0000e-02 eta: 2 days, 0:50:27 time: 0.9053 data_time: 0.0263 memory: 11089 grad_norm: 4.0254 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1012 loss: 2.1012 2022/08/02 12:36:17 - mmengine - INFO - Epoch(train) [48][1400/1879] lr: 2.0000e-02 eta: 2 days, 0:50:09 time: 0.9221 data_time: 0.0340 memory: 11089 grad_norm: 4.1489 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9477 loss: 1.9477 2022/08/02 12:36:35 - mmengine - INFO - Epoch(train) [48][1420/1879] lr: 2.0000e-02 eta: 2 days, 0:49:50 time: 0.9127 data_time: 0.0283 memory: 11089 grad_norm: 4.0840 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0853 loss: 2.0853 2022/08/02 12:36:53 - mmengine - INFO - Epoch(train) [48][1440/1879] lr: 2.0000e-02 eta: 2 days, 0:49:32 time: 0.9297 data_time: 0.0286 memory: 11089 grad_norm: 4.0731 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7762 loss: 1.7762 2022/08/02 12:37:12 - mmengine - INFO - Epoch(train) [48][1460/1879] lr: 2.0000e-02 eta: 2 days, 0:49:15 time: 0.9330 data_time: 0.0272 memory: 11089 grad_norm: 3.9978 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9122 loss: 1.9122 2022/08/02 12:37:31 - mmengine - INFO - Epoch(train) [48][1480/1879] lr: 2.0000e-02 eta: 2 days, 0:48:57 time: 0.9313 data_time: 0.0289 memory: 11089 grad_norm: 4.0444 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0316 loss: 2.0316 2022/08/02 12:37:49 - mmengine - INFO - Epoch(train) [48][1500/1879] lr: 2.0000e-02 eta: 2 days, 0:48:39 time: 0.9064 data_time: 0.0293 memory: 11089 grad_norm: 3.8992 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9315 loss: 1.9315 2022/08/02 12:38:07 - mmengine - INFO - Epoch(train) [48][1520/1879] lr: 2.0000e-02 eta: 2 days, 0:48:20 time: 0.9049 data_time: 0.0242 memory: 11089 grad_norm: 3.9037 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9590 loss: 1.9590 2022/08/02 12:38:25 - mmengine - INFO - Epoch(train) [48][1540/1879] lr: 2.0000e-02 eta: 2 days, 0:48:02 time: 0.9162 data_time: 0.0266 memory: 11089 grad_norm: 4.0030 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9869 loss: 1.9869 2022/08/02 12:38:44 - mmengine - INFO - Epoch(train) [48][1560/1879] lr: 2.0000e-02 eta: 2 days, 0:47:43 time: 0.9121 data_time: 0.0335 memory: 11089 grad_norm: 3.9105 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9387 loss: 1.9387 2022/08/02 12:39:02 - mmengine - INFO - Epoch(train) [48][1580/1879] lr: 2.0000e-02 eta: 2 days, 0:47:26 time: 0.9282 data_time: 0.0312 memory: 11089 grad_norm: 3.9220 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9115 loss: 1.9115 2022/08/02 12:39:21 - mmengine - INFO - Epoch(train) [48][1600/1879] lr: 2.0000e-02 eta: 2 days, 0:47:08 time: 0.9275 data_time: 0.0361 memory: 11089 grad_norm: 3.9556 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9267 loss: 1.9267 2022/08/02 12:39:39 - mmengine - INFO - Epoch(train) [48][1620/1879] lr: 2.0000e-02 eta: 2 days, 0:46:50 time: 0.9205 data_time: 0.0279 memory: 11089 grad_norm: 4.0141 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8815 loss: 1.8815 2022/08/02 12:39:57 - mmengine - INFO - Epoch(train) [48][1640/1879] lr: 2.0000e-02 eta: 2 days, 0:46:32 time: 0.9205 data_time: 0.0271 memory: 11089 grad_norm: 4.0033 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9299 loss: 1.9299 2022/08/02 12:40:16 - mmengine - INFO - Epoch(train) [48][1660/1879] lr: 2.0000e-02 eta: 2 days, 0:46:14 time: 0.9327 data_time: 0.0273 memory: 11089 grad_norm: 3.9491 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0281 loss: 2.0281 2022/08/02 12:40:34 - mmengine - INFO - Epoch(train) [48][1680/1879] lr: 2.0000e-02 eta: 2 days, 0:45:56 time: 0.9189 data_time: 0.0351 memory: 11089 grad_norm: 4.0800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8582 loss: 1.8582 2022/08/02 12:40:41 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 12:40:53 - mmengine - INFO - Epoch(train) [48][1700/1879] lr: 2.0000e-02 eta: 2 days, 0:45:38 time: 0.9142 data_time: 0.0272 memory: 11089 grad_norm: 4.0490 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7936 loss: 1.7936 2022/08/02 12:41:11 - mmengine - INFO - Epoch(train) [48][1720/1879] lr: 2.0000e-02 eta: 2 days, 0:45:19 time: 0.9116 data_time: 0.0231 memory: 11089 grad_norm: 4.1394 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1731 loss: 2.1731 2022/08/02 12:41:30 - mmengine - INFO - Epoch(train) [48][1740/1879] lr: 2.0000e-02 eta: 2 days, 0:45:02 time: 0.9455 data_time: 0.0334 memory: 11089 grad_norm: 3.9619 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9288 loss: 1.9288 2022/08/02 12:41:48 - mmengine - INFO - Epoch(train) [48][1760/1879] lr: 2.0000e-02 eta: 2 days, 0:44:44 time: 0.9168 data_time: 0.0254 memory: 11089 grad_norm: 4.0657 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9329 loss: 1.9329 2022/08/02 12:42:06 - mmengine - INFO - Epoch(train) [48][1780/1879] lr: 2.0000e-02 eta: 2 days, 0:44:25 time: 0.9039 data_time: 0.0274 memory: 11089 grad_norm: 3.9568 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8614 loss: 1.8614 2022/08/02 12:42:25 - mmengine - INFO - Epoch(train) [48][1800/1879] lr: 2.0000e-02 eta: 2 days, 0:44:08 time: 0.9371 data_time: 0.0333 memory: 11089 grad_norm: 4.0313 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9070 loss: 1.9070 2022/08/02 12:42:43 - mmengine - INFO - Epoch(train) [48][1820/1879] lr: 2.0000e-02 eta: 2 days, 0:43:50 time: 0.9168 data_time: 0.0276 memory: 11089 grad_norm: 4.0106 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9251 loss: 1.9251 2022/08/02 12:43:01 - mmengine - INFO - Epoch(train) [48][1840/1879] lr: 2.0000e-02 eta: 2 days, 0:43:30 time: 0.8968 data_time: 0.0214 memory: 11089 grad_norm: 4.0309 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1467 loss: 2.1467 2022/08/02 12:43:20 - mmengine - INFO - Epoch(train) [48][1860/1879] lr: 2.0000e-02 eta: 2 days, 0:43:13 time: 0.9397 data_time: 0.0279 memory: 11089 grad_norm: 4.0894 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9930 loss: 1.9930 2022/08/02 12:43:38 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 12:43:38 - mmengine - INFO - Epoch(train) [48][1879/1879] lr: 2.0000e-02 eta: 2 days, 0:43:13 time: 0.9204 data_time: 0.0265 memory: 11089 grad_norm: 4.0847 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.1103 loss: 2.1103 2022/08/02 12:43:38 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/08/02 12:44:01 - mmengine - INFO - Epoch(train) [49][20/1879] lr: 2.0000e-02 eta: 2 days, 0:42:05 time: 1.0222 data_time: 0.1114 memory: 11089 grad_norm: 3.9601 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9372 loss: 1.9372 2022/08/02 12:44:19 - mmengine - INFO - Epoch(train) [49][40/1879] lr: 2.0000e-02 eta: 2 days, 0:41:47 time: 0.9232 data_time: 0.0257 memory: 11089 grad_norm: 3.9102 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8442 loss: 1.8442 2022/08/02 12:44:37 - mmengine - INFO - Epoch(train) [49][60/1879] lr: 2.0000e-02 eta: 2 days, 0:41:28 time: 0.9053 data_time: 0.0224 memory: 11089 grad_norm: 4.0322 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8766 loss: 1.8766 2022/08/02 12:44:56 - mmengine - INFO - Epoch(train) [49][80/1879] lr: 2.0000e-02 eta: 2 days, 0:41:11 time: 0.9238 data_time: 0.0274 memory: 11089 grad_norm: 4.1348 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8599 loss: 1.8599 2022/08/02 12:45:14 - mmengine - INFO - Epoch(train) [49][100/1879] lr: 2.0000e-02 eta: 2 days, 0:40:53 time: 0.9244 data_time: 0.0270 memory: 11089 grad_norm: 4.0404 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9145 loss: 1.9145 2022/08/02 12:45:33 - mmengine - INFO - Epoch(train) [49][120/1879] lr: 2.0000e-02 eta: 2 days, 0:40:36 time: 0.9530 data_time: 0.0444 memory: 11089 grad_norm: 3.9952 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8054 loss: 1.8054 2022/08/02 12:45:52 - mmengine - INFO - Epoch(train) [49][140/1879] lr: 2.0000e-02 eta: 2 days, 0:40:19 time: 0.9554 data_time: 0.0282 memory: 11089 grad_norm: 4.0058 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8756 loss: 1.8756 2022/08/02 12:46:11 - mmengine - INFO - Epoch(train) [49][160/1879] lr: 2.0000e-02 eta: 2 days, 0:40:02 time: 0.9413 data_time: 0.0342 memory: 11089 grad_norm: 4.0465 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8210 loss: 1.8210 2022/08/02 12:46:30 - mmengine - INFO - Epoch(train) [49][180/1879] lr: 2.0000e-02 eta: 2 days, 0:39:45 time: 0.9337 data_time: 0.0362 memory: 11089 grad_norm: 3.9804 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.1147 loss: 2.1147 2022/08/02 12:46:48 - mmengine - INFO - Epoch(train) [49][200/1879] lr: 2.0000e-02 eta: 2 days, 0:39:27 time: 0.9204 data_time: 0.0281 memory: 11089 grad_norm: 3.9659 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9986 loss: 1.9986 2022/08/02 12:47:06 - mmengine - INFO - Epoch(train) [49][220/1879] lr: 2.0000e-02 eta: 2 days, 0:39:08 time: 0.9041 data_time: 0.0244 memory: 11089 grad_norm: 4.0847 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0219 loss: 2.0219 2022/08/02 12:47:25 - mmengine - INFO - Epoch(train) [49][240/1879] lr: 2.0000e-02 eta: 2 days, 0:38:50 time: 0.9312 data_time: 0.0319 memory: 11089 grad_norm: 4.0453 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9069 loss: 1.9069 2022/08/02 12:47:43 - mmengine - INFO - Epoch(train) [49][260/1879] lr: 2.0000e-02 eta: 2 days, 0:38:32 time: 0.9143 data_time: 0.0284 memory: 11089 grad_norm: 3.9885 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8806 loss: 1.8806 2022/08/02 12:48:02 - mmengine - INFO - Epoch(train) [49][280/1879] lr: 2.0000e-02 eta: 2 days, 0:38:14 time: 0.9238 data_time: 0.0186 memory: 11089 grad_norm: 3.9751 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7482 loss: 1.7482 2022/08/02 12:48:20 - mmengine - INFO - Epoch(train) [49][300/1879] lr: 2.0000e-02 eta: 2 days, 0:37:56 time: 0.9217 data_time: 0.0315 memory: 11089 grad_norm: 4.0064 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7616 loss: 1.7616 2022/08/02 12:48:39 - mmengine - INFO - Epoch(train) [49][320/1879] lr: 2.0000e-02 eta: 2 days, 0:37:38 time: 0.9281 data_time: 0.0247 memory: 11089 grad_norm: 4.0189 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8738 loss: 1.8738 2022/08/02 12:48:57 - mmengine - INFO - Epoch(train) [49][340/1879] lr: 2.0000e-02 eta: 2 days, 0:37:20 time: 0.9196 data_time: 0.0285 memory: 11089 grad_norm: 3.9829 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0361 loss: 2.0361 2022/08/02 12:49:15 - mmengine - INFO - Epoch(train) [49][360/1879] lr: 2.0000e-02 eta: 2 days, 0:37:02 time: 0.9183 data_time: 0.0344 memory: 11089 grad_norm: 3.9963 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8676 loss: 1.8676 2022/08/02 12:49:34 - mmengine - INFO - Epoch(train) [49][380/1879] lr: 2.0000e-02 eta: 2 days, 0:36:43 time: 0.9068 data_time: 0.0249 memory: 11089 grad_norm: 3.9502 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8818 loss: 1.8818 2022/08/02 12:49:52 - mmengine - INFO - Epoch(train) [49][400/1879] lr: 2.0000e-02 eta: 2 days, 0:36:25 time: 0.9100 data_time: 0.0216 memory: 11089 grad_norm: 4.0045 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9492 loss: 1.9492 2022/08/02 12:50:11 - mmengine - INFO - Epoch(train) [49][420/1879] lr: 2.0000e-02 eta: 2 days, 0:36:08 time: 0.9401 data_time: 0.0373 memory: 11089 grad_norm: 4.0029 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9340 loss: 1.9340 2022/08/02 12:50:29 - mmengine - INFO - Epoch(train) [49][440/1879] lr: 2.0000e-02 eta: 2 days, 0:35:50 time: 0.9306 data_time: 0.0296 memory: 11089 grad_norm: 3.9405 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9660 loss: 1.9660 2022/08/02 12:50:48 - mmengine - INFO - Epoch(train) [49][460/1879] lr: 2.0000e-02 eta: 2 days, 0:35:32 time: 0.9218 data_time: 0.0272 memory: 11089 grad_norm: 3.9805 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7473 loss: 1.7473 2022/08/02 12:51:06 - mmengine - INFO - Epoch(train) [49][480/1879] lr: 2.0000e-02 eta: 2 days, 0:35:13 time: 0.9033 data_time: 0.0256 memory: 11089 grad_norm: 4.0936 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6798 loss: 1.6798 2022/08/02 12:51:24 - mmengine - INFO - Epoch(train) [49][500/1879] lr: 2.0000e-02 eta: 2 days, 0:34:55 time: 0.9175 data_time: 0.0316 memory: 11089 grad_norm: 4.0842 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0147 loss: 2.0147 2022/08/02 12:51:42 - mmengine - INFO - Epoch(train) [49][520/1879] lr: 2.0000e-02 eta: 2 days, 0:34:36 time: 0.9083 data_time: 0.0247 memory: 11089 grad_norm: 3.9783 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7893 loss: 1.7893 2022/08/02 12:52:00 - mmengine - INFO - Epoch(train) [49][540/1879] lr: 2.0000e-02 eta: 2 days, 0:34:17 time: 0.8938 data_time: 0.0214 memory: 11089 grad_norm: 3.9894 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0029 loss: 2.0029 2022/08/02 12:52:19 - mmengine - INFO - Epoch(train) [49][560/1879] lr: 2.0000e-02 eta: 2 days, 0:33:59 time: 0.9203 data_time: 0.0319 memory: 11089 grad_norm: 3.9517 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8944 loss: 1.8944 2022/08/02 12:52:37 - mmengine - INFO - Epoch(train) [49][580/1879] lr: 2.0000e-02 eta: 2 days, 0:33:42 time: 0.9305 data_time: 0.0324 memory: 11089 grad_norm: 3.9511 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9006 loss: 1.9006 2022/08/02 12:52:55 - mmengine - INFO - Epoch(train) [49][600/1879] lr: 2.0000e-02 eta: 2 days, 0:33:23 time: 0.8987 data_time: 0.0250 memory: 11089 grad_norm: 3.8952 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9300 loss: 1.9300 2022/08/02 12:53:13 - mmengine - INFO - Epoch(train) [49][620/1879] lr: 2.0000e-02 eta: 2 days, 0:33:03 time: 0.8948 data_time: 0.0255 memory: 11089 grad_norm: 3.9550 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9414 loss: 1.9414 2022/08/02 12:53:31 - mmengine - INFO - Epoch(train) [49][640/1879] lr: 2.0000e-02 eta: 2 days, 0:32:45 time: 0.9153 data_time: 0.0300 memory: 11089 grad_norm: 3.9550 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6624 loss: 1.6624 2022/08/02 12:53:50 - mmengine - INFO - Epoch(train) [49][660/1879] lr: 2.0000e-02 eta: 2 days, 0:32:27 time: 0.9088 data_time: 0.0256 memory: 11089 grad_norm: 3.9823 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8493 loss: 1.8493 2022/08/02 12:54:08 - mmengine - INFO - Epoch(train) [49][680/1879] lr: 2.0000e-02 eta: 2 days, 0:32:08 time: 0.9007 data_time: 0.0270 memory: 11089 grad_norm: 4.0418 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9603 loss: 1.9603 2022/08/02 12:54:26 - mmengine - INFO - Epoch(train) [49][700/1879] lr: 2.0000e-02 eta: 2 days, 0:31:50 time: 0.9257 data_time: 0.0257 memory: 11089 grad_norm: 4.0625 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0915 loss: 2.0915 2022/08/02 12:54:44 - mmengine - INFO - Epoch(train) [49][720/1879] lr: 2.0000e-02 eta: 2 days, 0:31:32 time: 0.9156 data_time: 0.0338 memory: 11089 grad_norm: 3.9482 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9946 loss: 1.9946 2022/08/02 12:55:03 - mmengine - INFO - Epoch(train) [49][740/1879] lr: 2.0000e-02 eta: 2 days, 0:31:13 time: 0.9080 data_time: 0.0267 memory: 11089 grad_norm: 4.0283 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9453 loss: 1.9453 2022/08/02 12:55:21 - mmengine - INFO - Epoch(train) [49][760/1879] lr: 2.0000e-02 eta: 2 days, 0:30:56 time: 0.9472 data_time: 0.0315 memory: 11089 grad_norm: 3.9532 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0582 loss: 2.0582 2022/08/02 12:55:40 - mmengine - INFO - Epoch(train) [49][780/1879] lr: 2.0000e-02 eta: 2 days, 0:30:38 time: 0.9271 data_time: 0.0323 memory: 11089 grad_norm: 4.0917 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0568 loss: 2.0568 2022/08/02 12:55:58 - mmengine - INFO - Epoch(train) [49][800/1879] lr: 2.0000e-02 eta: 2 days, 0:30:20 time: 0.9216 data_time: 0.0292 memory: 11089 grad_norm: 4.0114 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8776 loss: 1.8776 2022/08/02 12:56:06 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 12:56:17 - mmengine - INFO - Epoch(train) [49][820/1879] lr: 2.0000e-02 eta: 2 days, 0:30:02 time: 0.9256 data_time: 0.0271 memory: 11089 grad_norm: 4.0981 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2667 loss: 2.2667 2022/08/02 12:56:35 - mmengine - INFO - Epoch(train) [49][840/1879] lr: 2.0000e-02 eta: 2 days, 0:29:44 time: 0.9238 data_time: 0.0310 memory: 11089 grad_norm: 3.9912 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9512 loss: 1.9512 2022/08/02 12:56:53 - mmengine - INFO - Epoch(train) [49][860/1879] lr: 2.0000e-02 eta: 2 days, 0:29:26 time: 0.9001 data_time: 0.0255 memory: 11089 grad_norm: 3.9648 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8793 loss: 1.8793 2022/08/02 12:57:12 - mmengine - INFO - Epoch(train) [49][880/1879] lr: 2.0000e-02 eta: 2 days, 0:29:07 time: 0.9076 data_time: 0.0260 memory: 11089 grad_norm: 4.0890 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7795 loss: 1.7795 2022/08/02 12:57:30 - mmengine - INFO - Epoch(train) [49][900/1879] lr: 2.0000e-02 eta: 2 days, 0:28:49 time: 0.9253 data_time: 0.0286 memory: 11089 grad_norm: 4.0177 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9135 loss: 1.9135 2022/08/02 12:57:48 - mmengine - INFO - Epoch(train) [49][920/1879] lr: 2.0000e-02 eta: 2 days, 0:28:31 time: 0.9150 data_time: 0.0254 memory: 11089 grad_norm: 4.0000 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7771 loss: 1.7771 2022/08/02 12:58:07 - mmengine - INFO - Epoch(train) [49][940/1879] lr: 2.0000e-02 eta: 2 days, 0:28:12 time: 0.9124 data_time: 0.0234 memory: 11089 grad_norm: 4.1174 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8610 loss: 1.8610 2022/08/02 12:58:25 - mmengine - INFO - Epoch(train) [49][960/1879] lr: 2.0000e-02 eta: 2 days, 0:27:55 time: 0.9292 data_time: 0.0335 memory: 11089 grad_norm: 4.0185 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9209 loss: 1.9209 2022/08/02 12:58:44 - mmengine - INFO - Epoch(train) [49][980/1879] lr: 2.0000e-02 eta: 2 days, 0:27:37 time: 0.9193 data_time: 0.0333 memory: 11089 grad_norm: 3.9966 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7906 loss: 1.7906 2022/08/02 12:59:02 - mmengine - INFO - Epoch(train) [49][1000/1879] lr: 2.0000e-02 eta: 2 days, 0:27:18 time: 0.8982 data_time: 0.0255 memory: 11089 grad_norm: 4.0214 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0735 loss: 2.0735 2022/08/02 12:59:20 - mmengine - INFO - Epoch(train) [49][1020/1879] lr: 2.0000e-02 eta: 2 days, 0:27:00 time: 0.9254 data_time: 0.0256 memory: 11089 grad_norm: 4.0881 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9302 loss: 1.9302 2022/08/02 12:59:38 - mmengine - INFO - Epoch(train) [49][1040/1879] lr: 2.0000e-02 eta: 2 days, 0:26:41 time: 0.9034 data_time: 0.0233 memory: 11089 grad_norm: 3.9945 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9922 loss: 1.9922 2022/08/02 12:59:57 - mmengine - INFO - Epoch(train) [49][1060/1879] lr: 2.0000e-02 eta: 2 days, 0:26:24 time: 0.9429 data_time: 0.0298 memory: 11089 grad_norm: 4.0335 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0667 loss: 2.0667 2022/08/02 13:00:15 - mmengine - INFO - Epoch(train) [49][1080/1879] lr: 2.0000e-02 eta: 2 days, 0:26:06 time: 0.9206 data_time: 0.0348 memory: 11089 grad_norm: 3.9593 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8735 loss: 1.8735 2022/08/02 13:00:34 - mmengine - INFO - Epoch(train) [49][1100/1879] lr: 2.0000e-02 eta: 2 days, 0:25:48 time: 0.9267 data_time: 0.0256 memory: 11089 grad_norm: 3.9046 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7642 loss: 1.7642 2022/08/02 13:00:52 - mmengine - INFO - Epoch(train) [49][1120/1879] lr: 2.0000e-02 eta: 2 days, 0:25:29 time: 0.9114 data_time: 0.0316 memory: 11089 grad_norm: 3.9929 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8835 loss: 1.8835 2022/08/02 13:01:11 - mmengine - INFO - Epoch(train) [49][1140/1879] lr: 2.0000e-02 eta: 2 days, 0:25:12 time: 0.9255 data_time: 0.0283 memory: 11089 grad_norm: 3.9037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0739 loss: 2.0739 2022/08/02 13:01:29 - mmengine - INFO - Epoch(train) [49][1160/1879] lr: 2.0000e-02 eta: 2 days, 0:24:53 time: 0.9186 data_time: 0.0262 memory: 11089 grad_norm: 3.9545 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7731 loss: 1.7731 2022/08/02 13:01:48 - mmengine - INFO - Epoch(train) [49][1180/1879] lr: 2.0000e-02 eta: 2 days, 0:24:36 time: 0.9309 data_time: 0.0364 memory: 11089 grad_norm: 4.0122 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8266 loss: 1.8266 2022/08/02 13:02:06 - mmengine - INFO - Epoch(train) [49][1200/1879] lr: 2.0000e-02 eta: 2 days, 0:24:17 time: 0.9092 data_time: 0.0252 memory: 11089 grad_norm: 4.0854 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9674 loss: 1.9674 2022/08/02 13:02:24 - mmengine - INFO - Epoch(train) [49][1220/1879] lr: 2.0000e-02 eta: 2 days, 0:23:59 time: 0.9136 data_time: 0.0268 memory: 11089 grad_norm: 4.0370 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9536 loss: 1.9536 2022/08/02 13:02:42 - mmengine - INFO - Epoch(train) [49][1240/1879] lr: 2.0000e-02 eta: 2 days, 0:23:40 time: 0.9078 data_time: 0.0324 memory: 11089 grad_norm: 4.0673 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9717 loss: 1.9717 2022/08/02 13:03:00 - mmengine - INFO - Epoch(train) [49][1260/1879] lr: 2.0000e-02 eta: 2 days, 0:23:22 time: 0.9043 data_time: 0.0261 memory: 11089 grad_norm: 4.0001 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9871 loss: 1.9871 2022/08/02 13:03:19 - mmengine - INFO - Epoch(train) [49][1280/1879] lr: 2.0000e-02 eta: 2 days, 0:23:03 time: 0.9052 data_time: 0.0238 memory: 11089 grad_norm: 3.9647 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0665 loss: 2.0665 2022/08/02 13:03:37 - mmengine - INFO - Epoch(train) [49][1300/1879] lr: 2.0000e-02 eta: 2 days, 0:22:45 time: 0.9266 data_time: 0.0289 memory: 11089 grad_norm: 4.0547 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1473 loss: 2.1473 2022/08/02 13:03:55 - mmengine - INFO - Epoch(train) [49][1320/1879] lr: 2.0000e-02 eta: 2 days, 0:22:27 time: 0.9109 data_time: 0.0289 memory: 11089 grad_norm: 4.0387 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9301 loss: 1.9301 2022/08/02 13:04:14 - mmengine - INFO - Epoch(train) [49][1340/1879] lr: 2.0000e-02 eta: 2 days, 0:22:09 time: 0.9208 data_time: 0.0281 memory: 11089 grad_norm: 4.0440 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1234 loss: 2.1234 2022/08/02 13:04:32 - mmengine - INFO - Epoch(train) [49][1360/1879] lr: 2.0000e-02 eta: 2 days, 0:21:51 time: 0.9332 data_time: 0.0246 memory: 11089 grad_norm: 4.0177 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1988 loss: 2.1988 2022/08/02 13:04:51 - mmengine - INFO - Epoch(train) [49][1380/1879] lr: 2.0000e-02 eta: 2 days, 0:21:33 time: 0.9195 data_time: 0.0278 memory: 11089 grad_norm: 4.0211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9928 loss: 1.9928 2022/08/02 13:05:09 - mmengine - INFO - Epoch(train) [49][1400/1879] lr: 2.0000e-02 eta: 2 days, 0:21:14 time: 0.9044 data_time: 0.0293 memory: 11089 grad_norm: 4.0131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0541 loss: 2.0541 2022/08/02 13:05:28 - mmengine - INFO - Epoch(train) [49][1420/1879] lr: 2.0000e-02 eta: 2 days, 0:20:58 time: 0.9550 data_time: 0.0326 memory: 11089 grad_norm: 4.0456 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.0064 loss: 2.0064 2022/08/02 13:05:47 - mmengine - INFO - Epoch(train) [49][1440/1879] lr: 2.0000e-02 eta: 2 days, 0:20:41 time: 0.9487 data_time: 0.0232 memory: 11089 grad_norm: 4.1013 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0576 loss: 2.0576 2022/08/02 13:06:06 - mmengine - INFO - Epoch(train) [49][1460/1879] lr: 2.0000e-02 eta: 2 days, 0:20:24 time: 0.9446 data_time: 0.0253 memory: 11089 grad_norm: 3.8384 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0042 loss: 2.0042 2022/08/02 13:06:25 - mmengine - INFO - Epoch(train) [49][1480/1879] lr: 2.0000e-02 eta: 2 days, 0:20:06 time: 0.9336 data_time: 0.0313 memory: 11089 grad_norm: 3.9994 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0303 loss: 2.0303 2022/08/02 13:06:43 - mmengine - INFO - Epoch(train) [49][1500/1879] lr: 2.0000e-02 eta: 2 days, 0:19:48 time: 0.9264 data_time: 0.0370 memory: 11089 grad_norm: 4.0448 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0117 loss: 2.0117 2022/08/02 13:07:02 - mmengine - INFO - Epoch(train) [49][1520/1879] lr: 2.0000e-02 eta: 2 days, 0:19:31 time: 0.9362 data_time: 0.0278 memory: 11089 grad_norm: 3.9952 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9943 loss: 1.9943 2022/08/02 13:07:20 - mmengine - INFO - Epoch(train) [49][1540/1879] lr: 2.0000e-02 eta: 2 days, 0:19:13 time: 0.9336 data_time: 0.0282 memory: 11089 grad_norm: 4.0256 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0450 loss: 2.0450 2022/08/02 13:07:39 - mmengine - INFO - Epoch(train) [49][1560/1879] lr: 2.0000e-02 eta: 2 days, 0:18:56 time: 0.9363 data_time: 0.0294 memory: 11089 grad_norm: 3.8671 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7730 loss: 1.7730 2022/08/02 13:07:57 - mmengine - INFO - Epoch(train) [49][1580/1879] lr: 2.0000e-02 eta: 2 days, 0:18:38 time: 0.9134 data_time: 0.0345 memory: 11089 grad_norm: 3.9582 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8906 loss: 1.8906 2022/08/02 13:08:16 - mmengine - INFO - Epoch(train) [49][1600/1879] lr: 2.0000e-02 eta: 2 days, 0:18:20 time: 0.9399 data_time: 0.0266 memory: 11089 grad_norm: 4.0196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8649 loss: 1.8649 2022/08/02 13:08:35 - mmengine - INFO - Epoch(train) [49][1620/1879] lr: 2.0000e-02 eta: 2 days, 0:18:02 time: 0.9197 data_time: 0.0324 memory: 11089 grad_norm: 3.9763 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9637 loss: 1.9637 2022/08/02 13:08:53 - mmengine - INFO - Epoch(train) [49][1640/1879] lr: 2.0000e-02 eta: 2 days, 0:17:44 time: 0.9069 data_time: 0.0275 memory: 11089 grad_norm: 4.0872 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0178 loss: 2.0178 2022/08/02 13:09:11 - mmengine - INFO - Epoch(train) [49][1660/1879] lr: 2.0000e-02 eta: 2 days, 0:17:26 time: 0.9247 data_time: 0.0299 memory: 11089 grad_norm: 4.0392 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7437 loss: 1.7437 2022/08/02 13:09:29 - mmengine - INFO - Epoch(train) [49][1680/1879] lr: 2.0000e-02 eta: 2 days, 0:17:07 time: 0.8961 data_time: 0.0252 memory: 11089 grad_norm: 4.0476 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0800 loss: 2.0800 2022/08/02 13:09:48 - mmengine - INFO - Epoch(train) [49][1700/1879] lr: 2.0000e-02 eta: 2 days, 0:16:49 time: 0.9431 data_time: 0.0309 memory: 11089 grad_norm: 3.9752 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0354 loss: 2.0354 2022/08/02 13:10:06 - mmengine - INFO - Epoch(train) [49][1720/1879] lr: 2.0000e-02 eta: 2 days, 0:16:31 time: 0.9207 data_time: 0.0299 memory: 11089 grad_norm: 3.8782 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0031 loss: 2.0031 2022/08/02 13:10:25 - mmengine - INFO - Epoch(train) [49][1740/1879] lr: 2.0000e-02 eta: 2 days, 0:16:13 time: 0.9074 data_time: 0.0246 memory: 11089 grad_norm: 4.0512 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9429 loss: 1.9429 2022/08/02 13:10:43 - mmengine - INFO - Epoch(train) [49][1760/1879] lr: 2.0000e-02 eta: 2 days, 0:15:55 time: 0.9291 data_time: 0.0311 memory: 11089 grad_norm: 3.9802 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9482 loss: 1.9482 2022/08/02 13:11:01 - mmengine - INFO - Epoch(train) [49][1780/1879] lr: 2.0000e-02 eta: 2 days, 0:15:36 time: 0.9063 data_time: 0.0231 memory: 11089 grad_norm: 3.9036 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.0654 loss: 2.0654 2022/08/02 13:11:19 - mmengine - INFO - Epoch(train) [49][1800/1879] lr: 2.0000e-02 eta: 2 days, 0:15:18 time: 0.9039 data_time: 0.0187 memory: 11089 grad_norm: 4.0200 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1100 loss: 2.1100 2022/08/02 13:11:27 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 13:11:38 - mmengine - INFO - Epoch(train) [49][1820/1879] lr: 2.0000e-02 eta: 2 days, 0:15:00 time: 0.9312 data_time: 0.0278 memory: 11089 grad_norm: 4.0502 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8657 loss: 1.8657 2022/08/02 13:11:56 - mmengine - INFO - Epoch(train) [49][1840/1879] lr: 2.0000e-02 eta: 2 days, 0:14:42 time: 0.9147 data_time: 0.0249 memory: 11089 grad_norm: 3.9494 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8675 loss: 1.8675 2022/08/02 13:12:15 - mmengine - INFO - Epoch(train) [49][1860/1879] lr: 2.0000e-02 eta: 2 days, 0:14:24 time: 0.9236 data_time: 0.0253 memory: 11089 grad_norm: 4.0444 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8687 loss: 1.8687 2022/08/02 13:12:32 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 13:12:32 - mmengine - INFO - Epoch(train) [49][1879/1879] lr: 2.0000e-02 eta: 2 days, 0:14:24 time: 0.9212 data_time: 0.0284 memory: 11089 grad_norm: 4.0892 top1_acc: 0.2857 top5_acc: 1.0000 loss_cls: 1.8301 loss: 1.8301 2022/08/02 13:12:52 - mmengine - INFO - Epoch(train) [50][20/1879] lr: 2.0000e-02 eta: 2 days, 0:13:15 time: 0.9909 data_time: 0.1360 memory: 11089 grad_norm: 4.0302 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8936 loss: 1.8936 2022/08/02 13:13:10 - mmengine - INFO - Epoch(train) [50][40/1879] lr: 2.0000e-02 eta: 2 days, 0:12:56 time: 0.8994 data_time: 0.0254 memory: 11089 grad_norm: 4.0142 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0351 loss: 2.0351 2022/08/02 13:13:29 - mmengine - INFO - Epoch(train) [50][60/1879] lr: 2.0000e-02 eta: 2 days, 0:12:38 time: 0.9241 data_time: 0.0370 memory: 11089 grad_norm: 3.9212 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9310 loss: 1.9310 2022/08/02 13:13:47 - mmengine - INFO - Epoch(train) [50][80/1879] lr: 2.0000e-02 eta: 2 days, 0:12:20 time: 0.9186 data_time: 0.0255 memory: 11089 grad_norm: 3.9903 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7007 loss: 1.7007 2022/08/02 13:14:06 - mmengine - INFO - Epoch(train) [50][100/1879] lr: 2.0000e-02 eta: 2 days, 0:12:03 time: 0.9403 data_time: 0.0363 memory: 11089 grad_norm: 3.9372 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.9704 loss: 1.9704 2022/08/02 13:14:24 - mmengine - INFO - Epoch(train) [50][120/1879] lr: 2.0000e-02 eta: 2 days, 0:11:44 time: 0.9063 data_time: 0.0221 memory: 11089 grad_norm: 3.9953 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8973 loss: 1.8973 2022/08/02 13:14:43 - mmengine - INFO - Epoch(train) [50][140/1879] lr: 2.0000e-02 eta: 2 days, 0:11:27 time: 0.9314 data_time: 0.0327 memory: 11089 grad_norm: 3.9928 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8304 loss: 1.8304 2022/08/02 13:15:01 - mmengine - INFO - Epoch(train) [50][160/1879] lr: 2.0000e-02 eta: 2 days, 0:11:09 time: 0.9243 data_time: 0.0267 memory: 11089 grad_norm: 3.9490 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0556 loss: 2.0556 2022/08/02 13:15:19 - mmengine - INFO - Epoch(train) [50][180/1879] lr: 2.0000e-02 eta: 2 days, 0:10:51 time: 0.9126 data_time: 0.0239 memory: 11089 grad_norm: 3.9950 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9310 loss: 1.9310 2022/08/02 13:15:38 - mmengine - INFO - Epoch(train) [50][200/1879] lr: 2.0000e-02 eta: 2 days, 0:10:32 time: 0.9036 data_time: 0.0240 memory: 11089 grad_norm: 3.9628 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9254 loss: 1.9254 2022/08/02 13:15:56 - mmengine - INFO - Epoch(train) [50][220/1879] lr: 2.0000e-02 eta: 2 days, 0:10:14 time: 0.9164 data_time: 0.0274 memory: 11089 grad_norm: 4.0508 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7239 loss: 1.7239 2022/08/02 13:16:14 - mmengine - INFO - Epoch(train) [50][240/1879] lr: 2.0000e-02 eta: 2 days, 0:09:55 time: 0.9183 data_time: 0.0231 memory: 11089 grad_norm: 4.0537 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0463 loss: 2.0463 2022/08/02 13:16:33 - mmengine - INFO - Epoch(train) [50][260/1879] lr: 2.0000e-02 eta: 2 days, 0:09:37 time: 0.9182 data_time: 0.0285 memory: 11089 grad_norm: 3.9819 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8264 loss: 1.8264 2022/08/02 13:16:51 - mmengine - INFO - Epoch(train) [50][280/1879] lr: 2.0000e-02 eta: 2 days, 0:09:18 time: 0.8938 data_time: 0.0237 memory: 11089 grad_norm: 4.1132 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0053 loss: 2.0053 2022/08/02 13:17:09 - mmengine - INFO - Epoch(train) [50][300/1879] lr: 2.0000e-02 eta: 2 days, 0:09:00 time: 0.9106 data_time: 0.0337 memory: 11089 grad_norm: 3.9612 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7991 loss: 1.7991 2022/08/02 13:17:27 - mmengine - INFO - Epoch(train) [50][320/1879] lr: 2.0000e-02 eta: 2 days, 0:08:41 time: 0.9125 data_time: 0.0255 memory: 11089 grad_norm: 3.9529 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7946 loss: 1.7946 2022/08/02 13:17:45 - mmengine - INFO - Epoch(train) [50][340/1879] lr: 2.0000e-02 eta: 2 days, 0:08:23 time: 0.9156 data_time: 0.0340 memory: 11089 grad_norm: 3.8248 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8937 loss: 1.8937 2022/08/02 13:18:04 - mmengine - INFO - Epoch(train) [50][360/1879] lr: 2.0000e-02 eta: 2 days, 0:08:05 time: 0.9202 data_time: 0.0289 memory: 11089 grad_norm: 4.0158 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9356 loss: 1.9356 2022/08/02 13:18:22 - mmengine - INFO - Epoch(train) [50][380/1879] lr: 2.0000e-02 eta: 2 days, 0:07:46 time: 0.9134 data_time: 0.0254 memory: 11089 grad_norm: 4.1201 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1035 loss: 2.1035 2022/08/02 13:18:41 - mmengine - INFO - Epoch(train) [50][400/1879] lr: 2.0000e-02 eta: 2 days, 0:07:29 time: 0.9275 data_time: 0.0287 memory: 11089 grad_norm: 3.9624 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0330 loss: 2.0330 2022/08/02 13:18:58 - mmengine - INFO - Epoch(train) [50][420/1879] lr: 2.0000e-02 eta: 2 days, 0:07:10 time: 0.8977 data_time: 0.0282 memory: 11089 grad_norm: 3.9339 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8913 loss: 1.8913 2022/08/02 13:19:17 - mmengine - INFO - Epoch(train) [50][440/1879] lr: 2.0000e-02 eta: 2 days, 0:06:52 time: 0.9276 data_time: 0.0281 memory: 11089 grad_norm: 4.0211 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.9646 loss: 1.9646 2022/08/02 13:19:35 - mmengine - INFO - Epoch(train) [50][460/1879] lr: 2.0000e-02 eta: 2 days, 0:06:34 time: 0.9162 data_time: 0.0243 memory: 11089 grad_norm: 4.0051 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0590 loss: 2.0590 2022/08/02 13:19:54 - mmengine - INFO - Epoch(train) [50][480/1879] lr: 2.0000e-02 eta: 2 days, 0:06:15 time: 0.9107 data_time: 0.0232 memory: 11089 grad_norm: 4.0474 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7996 loss: 1.7996 2022/08/02 13:20:12 - mmengine - INFO - Epoch(train) [50][500/1879] lr: 2.0000e-02 eta: 2 days, 0:05:57 time: 0.9219 data_time: 0.0299 memory: 11089 grad_norm: 4.0272 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7176 loss: 1.7176 2022/08/02 13:20:30 - mmengine - INFO - Epoch(train) [50][520/1879] lr: 2.0000e-02 eta: 2 days, 0:05:39 time: 0.9150 data_time: 0.0314 memory: 11089 grad_norm: 3.9109 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8674 loss: 1.8674 2022/08/02 13:20:49 - mmengine - INFO - Epoch(train) [50][540/1879] lr: 2.0000e-02 eta: 2 days, 0:05:22 time: 0.9409 data_time: 0.0277 memory: 11089 grad_norm: 4.0498 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8080 loss: 1.8080 2022/08/02 13:21:08 - mmengine - INFO - Epoch(train) [50][560/1879] lr: 2.0000e-02 eta: 2 days, 0:05:04 time: 0.9207 data_time: 0.0286 memory: 11089 grad_norm: 3.9214 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9944 loss: 1.9944 2022/08/02 13:21:26 - mmengine - INFO - Epoch(train) [50][580/1879] lr: 2.0000e-02 eta: 2 days, 0:04:46 time: 0.9280 data_time: 0.0252 memory: 11089 grad_norm: 4.1137 top1_acc: 0.4375 top5_acc: 1.0000 loss_cls: 1.9770 loss: 1.9770 2022/08/02 13:21:44 - mmengine - INFO - Epoch(train) [50][600/1879] lr: 2.0000e-02 eta: 2 days, 0:04:27 time: 0.9029 data_time: 0.0247 memory: 11089 grad_norm: 4.1002 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8553 loss: 1.8553 2022/08/02 13:22:02 - mmengine - INFO - Epoch(train) [50][620/1879] lr: 2.0000e-02 eta: 2 days, 0:04:08 time: 0.8970 data_time: 0.0273 memory: 11089 grad_norm: 4.1038 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0794 loss: 2.0794 2022/08/02 13:22:20 - mmengine - INFO - Epoch(train) [50][640/1879] lr: 2.0000e-02 eta: 2 days, 0:03:49 time: 0.9076 data_time: 0.0264 memory: 11089 grad_norm: 4.1310 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0120 loss: 2.0120 2022/08/02 13:22:39 - mmengine - INFO - Epoch(train) [50][660/1879] lr: 2.0000e-02 eta: 2 days, 0:03:32 time: 0.9332 data_time: 0.0254 memory: 11089 grad_norm: 4.0030 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8069 loss: 1.8069 2022/08/02 13:22:57 - mmengine - INFO - Epoch(train) [50][680/1879] lr: 2.0000e-02 eta: 2 days, 0:03:14 time: 0.9114 data_time: 0.0259 memory: 11089 grad_norm: 4.0274 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0401 loss: 2.0401 2022/08/02 13:23:16 - mmengine - INFO - Epoch(train) [50][700/1879] lr: 2.0000e-02 eta: 2 days, 0:02:55 time: 0.9170 data_time: 0.0327 memory: 11089 grad_norm: 3.9450 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8035 loss: 1.8035 2022/08/02 13:23:34 - mmengine - INFO - Epoch(train) [50][720/1879] lr: 2.0000e-02 eta: 2 days, 0:02:38 time: 0.9389 data_time: 0.0357 memory: 11089 grad_norm: 3.9224 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9462 loss: 1.9462 2022/08/02 13:23:53 - mmengine - INFO - Epoch(train) [50][740/1879] lr: 2.0000e-02 eta: 2 days, 0:02:20 time: 0.9329 data_time: 0.0269 memory: 11089 grad_norm: 3.9067 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0265 loss: 2.0265 2022/08/02 13:24:11 - mmengine - INFO - Epoch(train) [50][760/1879] lr: 2.0000e-02 eta: 2 days, 0:02:03 time: 0.9271 data_time: 0.0308 memory: 11089 grad_norm: 4.0736 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8688 loss: 1.8688 2022/08/02 13:24:30 - mmengine - INFO - Epoch(train) [50][780/1879] lr: 2.0000e-02 eta: 2 days, 0:01:44 time: 0.9163 data_time: 0.0244 memory: 11089 grad_norm: 3.8929 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9466 loss: 1.9466 2022/08/02 13:24:48 - mmengine - INFO - Epoch(train) [50][800/1879] lr: 2.0000e-02 eta: 2 days, 0:01:26 time: 0.9243 data_time: 0.0239 memory: 11089 grad_norm: 4.0834 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9208 loss: 1.9208 2022/08/02 13:25:07 - mmengine - INFO - Epoch(train) [50][820/1879] lr: 2.0000e-02 eta: 2 days, 0:01:09 time: 0.9303 data_time: 0.0283 memory: 11089 grad_norm: 3.9913 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7983 loss: 1.7983 2022/08/02 13:25:25 - mmengine - INFO - Epoch(train) [50][840/1879] lr: 2.0000e-02 eta: 2 days, 0:00:51 time: 0.9240 data_time: 0.0280 memory: 11089 grad_norm: 4.0065 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8471 loss: 1.8471 2022/08/02 13:25:44 - mmengine - INFO - Epoch(train) [50][860/1879] lr: 2.0000e-02 eta: 2 days, 0:00:34 time: 0.9422 data_time: 0.0299 memory: 11089 grad_norm: 4.1203 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0468 loss: 2.0468 2022/08/02 13:26:03 - mmengine - INFO - Epoch(train) [50][880/1879] lr: 2.0000e-02 eta: 2 days, 0:00:16 time: 0.9346 data_time: 0.0273 memory: 11089 grad_norm: 4.0721 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9189 loss: 1.9189 2022/08/02 13:26:21 - mmengine - INFO - Epoch(train) [50][900/1879] lr: 2.0000e-02 eta: 1 day, 23:59:58 time: 0.9063 data_time: 0.0261 memory: 11089 grad_norm: 3.9640 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0246 loss: 2.0246 2022/08/02 13:26:40 - mmengine - INFO - Epoch(train) [50][920/1879] lr: 2.0000e-02 eta: 1 day, 23:59:40 time: 0.9238 data_time: 0.0255 memory: 11089 grad_norm: 4.0329 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9817 loss: 1.9817 2022/08/02 13:26:48 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 13:26:58 - mmengine - INFO - Epoch(train) [50][940/1879] lr: 2.0000e-02 eta: 1 day, 23:59:22 time: 0.9249 data_time: 0.0308 memory: 11089 grad_norm: 4.0228 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7728 loss: 1.7728 2022/08/02 13:27:16 - mmengine - INFO - Epoch(train) [50][960/1879] lr: 2.0000e-02 eta: 1 day, 23:59:03 time: 0.9029 data_time: 0.0243 memory: 11089 grad_norm: 3.8570 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0794 loss: 2.0794 2022/08/02 13:27:35 - mmengine - INFO - Epoch(train) [50][980/1879] lr: 2.0000e-02 eta: 1 day, 23:58:45 time: 0.9236 data_time: 0.0285 memory: 11089 grad_norm: 4.0380 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7653 loss: 1.7653 2022/08/02 13:27:53 - mmengine - INFO - Epoch(train) [50][1000/1879] lr: 2.0000e-02 eta: 1 day, 23:58:26 time: 0.9048 data_time: 0.0279 memory: 11089 grad_norm: 4.0221 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8896 loss: 1.8896 2022/08/02 13:28:11 - mmengine - INFO - Epoch(train) [50][1020/1879] lr: 2.0000e-02 eta: 1 day, 23:58:08 time: 0.9029 data_time: 0.0238 memory: 11089 grad_norm: 4.0213 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.7861 loss: 1.7861 2022/08/02 13:28:29 - mmengine - INFO - Epoch(train) [50][1040/1879] lr: 2.0000e-02 eta: 1 day, 23:57:50 time: 0.9374 data_time: 0.0257 memory: 11089 grad_norm: 3.9873 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0712 loss: 2.0712 2022/08/02 13:28:48 - mmengine - INFO - Epoch(train) [50][1060/1879] lr: 2.0000e-02 eta: 1 day, 23:57:32 time: 0.9087 data_time: 0.0253 memory: 11089 grad_norm: 4.0976 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0223 loss: 2.0223 2022/08/02 13:29:05 - mmengine - INFO - Epoch(train) [50][1080/1879] lr: 2.0000e-02 eta: 1 day, 23:57:12 time: 0.8897 data_time: 0.0233 memory: 11089 grad_norm: 4.0217 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8850 loss: 1.8850 2022/08/02 13:29:24 - mmengine - INFO - Epoch(train) [50][1100/1879] lr: 2.0000e-02 eta: 1 day, 23:56:54 time: 0.9249 data_time: 0.0355 memory: 11089 grad_norm: 4.0862 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.8151 loss: 1.8151 2022/08/02 13:29:42 - mmengine - INFO - Epoch(train) [50][1120/1879] lr: 2.0000e-02 eta: 1 day, 23:56:36 time: 0.9096 data_time: 0.0284 memory: 11089 grad_norm: 4.0825 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8285 loss: 1.8285 2022/08/02 13:30:01 - mmengine - INFO - Epoch(train) [50][1140/1879] lr: 2.0000e-02 eta: 1 day, 23:56:18 time: 0.9368 data_time: 0.0301 memory: 11089 grad_norm: 4.0816 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0545 loss: 2.0545 2022/08/02 13:30:19 - mmengine - INFO - Epoch(train) [50][1160/1879] lr: 2.0000e-02 eta: 1 day, 23:56:01 time: 0.9288 data_time: 0.0328 memory: 11089 grad_norm: 4.0346 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9155 loss: 1.9155 2022/08/02 13:30:38 - mmengine - INFO - Epoch(train) [50][1180/1879] lr: 2.0000e-02 eta: 1 day, 23:55:43 time: 0.9286 data_time: 0.0272 memory: 11089 grad_norm: 3.9692 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0736 loss: 2.0736 2022/08/02 13:30:57 - mmengine - INFO - Epoch(train) [50][1200/1879] lr: 2.0000e-02 eta: 1 day, 23:55:26 time: 0.9398 data_time: 0.0299 memory: 11089 grad_norm: 4.0481 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8933 loss: 1.8933 2022/08/02 13:31:15 - mmengine - INFO - Epoch(train) [50][1220/1879] lr: 2.0000e-02 eta: 1 day, 23:55:08 time: 0.9174 data_time: 0.0368 memory: 11089 grad_norm: 3.9923 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8516 loss: 1.8516 2022/08/02 13:31:33 - mmengine - INFO - Epoch(train) [50][1240/1879] lr: 2.0000e-02 eta: 1 day, 23:54:49 time: 0.9005 data_time: 0.0266 memory: 11089 grad_norm: 3.9827 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0615 loss: 2.0615 2022/08/02 13:31:51 - mmengine - INFO - Epoch(train) [50][1260/1879] lr: 2.0000e-02 eta: 1 day, 23:54:30 time: 0.9136 data_time: 0.0277 memory: 11089 grad_norm: 4.0300 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8216 loss: 1.8216 2022/08/02 13:32:10 - mmengine - INFO - Epoch(train) [50][1280/1879] lr: 2.0000e-02 eta: 1 day, 23:54:13 time: 0.9395 data_time: 0.0269 memory: 11089 grad_norm: 4.0597 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.9879 loss: 1.9879 2022/08/02 13:32:28 - mmengine - INFO - Epoch(train) [50][1300/1879] lr: 2.0000e-02 eta: 1 day, 23:53:54 time: 0.9101 data_time: 0.0287 memory: 11089 grad_norm: 4.0013 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8813 loss: 1.8813 2022/08/02 13:32:47 - mmengine - INFO - Epoch(train) [50][1320/1879] lr: 2.0000e-02 eta: 1 day, 23:53:36 time: 0.9162 data_time: 0.0300 memory: 11089 grad_norm: 3.9239 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0875 loss: 2.0875 2022/08/02 13:33:05 - mmengine - INFO - Epoch(train) [50][1340/1879] lr: 2.0000e-02 eta: 1 day, 23:53:18 time: 0.9168 data_time: 0.0274 memory: 11089 grad_norm: 4.0257 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1102 loss: 2.1102 2022/08/02 13:33:25 - mmengine - INFO - Epoch(train) [50][1360/1879] lr: 2.0000e-02 eta: 1 day, 23:53:02 time: 0.9709 data_time: 0.0248 memory: 11089 grad_norm: 4.0451 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9534 loss: 1.9534 2022/08/02 13:33:43 - mmengine - INFO - Epoch(train) [50][1380/1879] lr: 2.0000e-02 eta: 1 day, 23:52:44 time: 0.9352 data_time: 0.0307 memory: 11089 grad_norm: 4.0037 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0209 loss: 2.0209 2022/08/02 13:34:01 - mmengine - INFO - Epoch(train) [50][1400/1879] lr: 2.0000e-02 eta: 1 day, 23:52:26 time: 0.8980 data_time: 0.0231 memory: 11089 grad_norm: 4.0007 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0851 loss: 2.0851 2022/08/02 13:34:20 - mmengine - INFO - Epoch(train) [50][1420/1879] lr: 2.0000e-02 eta: 1 day, 23:52:07 time: 0.9100 data_time: 0.0251 memory: 11089 grad_norm: 4.0585 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8858 loss: 1.8858 2022/08/02 13:34:38 - mmengine - INFO - Epoch(train) [50][1440/1879] lr: 2.0000e-02 eta: 1 day, 23:51:49 time: 0.9245 data_time: 0.0391 memory: 11089 grad_norm: 3.9617 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7567 loss: 1.7567 2022/08/02 13:34:57 - mmengine - INFO - Epoch(train) [50][1460/1879] lr: 2.0000e-02 eta: 1 day, 23:51:31 time: 0.9296 data_time: 0.0293 memory: 11089 grad_norm: 4.1226 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9745 loss: 1.9745 2022/08/02 13:35:15 - mmengine - INFO - Epoch(train) [50][1480/1879] lr: 2.0000e-02 eta: 1 day, 23:51:13 time: 0.9146 data_time: 0.0225 memory: 11089 grad_norm: 4.1173 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0506 loss: 2.0506 2022/08/02 13:35:33 - mmengine - INFO - Epoch(train) [50][1500/1879] lr: 2.0000e-02 eta: 1 day, 23:50:55 time: 0.9274 data_time: 0.0316 memory: 11089 grad_norm: 4.0744 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0294 loss: 2.0294 2022/08/02 13:35:52 - mmengine - INFO - Epoch(train) [50][1520/1879] lr: 2.0000e-02 eta: 1 day, 23:50:37 time: 0.9072 data_time: 0.0248 memory: 11089 grad_norm: 3.9868 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8961 loss: 1.8961 2022/08/02 13:36:10 - mmengine - INFO - Epoch(train) [50][1540/1879] lr: 2.0000e-02 eta: 1 day, 23:50:19 time: 0.9281 data_time: 0.0277 memory: 11089 grad_norm: 3.9960 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.0774 loss: 2.0774 2022/08/02 13:36:29 - mmengine - INFO - Epoch(train) [50][1560/1879] lr: 2.0000e-02 eta: 1 day, 23:50:01 time: 0.9361 data_time: 0.0302 memory: 11089 grad_norm: 3.9631 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9654 loss: 1.9654 2022/08/02 13:36:48 - mmengine - INFO - Epoch(train) [50][1580/1879] lr: 2.0000e-02 eta: 1 day, 23:49:44 time: 0.9386 data_time: 0.0262 memory: 11089 grad_norm: 4.0686 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7949 loss: 1.7949 2022/08/02 13:37:06 - mmengine - INFO - Epoch(train) [50][1600/1879] lr: 2.0000e-02 eta: 1 day, 23:49:26 time: 0.9119 data_time: 0.0254 memory: 11089 grad_norm: 3.9593 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9687 loss: 1.9687 2022/08/02 13:37:24 - mmengine - INFO - Epoch(train) [50][1620/1879] lr: 2.0000e-02 eta: 1 day, 23:49:08 time: 0.9256 data_time: 0.0280 memory: 11089 grad_norm: 3.9354 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.2029 loss: 2.2029 2022/08/02 13:37:43 - mmengine - INFO - Epoch(train) [50][1640/1879] lr: 2.0000e-02 eta: 1 day, 23:48:50 time: 0.9224 data_time: 0.0259 memory: 11089 grad_norm: 3.9802 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7717 loss: 1.7717 2022/08/02 13:38:01 - mmengine - INFO - Epoch(train) [50][1660/1879] lr: 2.0000e-02 eta: 1 day, 23:48:32 time: 0.9280 data_time: 0.0285 memory: 11089 grad_norm: 4.0723 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1285 loss: 2.1285 2022/08/02 13:38:20 - mmengine - INFO - Epoch(train) [50][1680/1879] lr: 2.0000e-02 eta: 1 day, 23:48:14 time: 0.9140 data_time: 0.0286 memory: 11089 grad_norm: 3.9189 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9543 loss: 1.9543 2022/08/02 13:38:38 - mmengine - INFO - Epoch(train) [50][1700/1879] lr: 2.0000e-02 eta: 1 day, 23:47:55 time: 0.9154 data_time: 0.0264 memory: 11089 grad_norm: 4.0525 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1198 loss: 2.1198 2022/08/02 13:38:56 - mmengine - INFO - Epoch(train) [50][1720/1879] lr: 2.0000e-02 eta: 1 day, 23:47:38 time: 0.9248 data_time: 0.0244 memory: 11089 grad_norm: 4.0639 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1880 loss: 2.1880 2022/08/02 13:39:15 - mmengine - INFO - Epoch(train) [50][1740/1879] lr: 2.0000e-02 eta: 1 day, 23:47:20 time: 0.9246 data_time: 0.0288 memory: 11089 grad_norm: 4.0827 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9232 loss: 1.9232 2022/08/02 13:39:33 - mmengine - INFO - Epoch(train) [50][1760/1879] lr: 2.0000e-02 eta: 1 day, 23:47:01 time: 0.9053 data_time: 0.0228 memory: 11089 grad_norm: 4.0624 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9600 loss: 1.9600 2022/08/02 13:39:51 - mmengine - INFO - Epoch(train) [50][1780/1879] lr: 2.0000e-02 eta: 1 day, 23:46:42 time: 0.9055 data_time: 0.0287 memory: 11089 grad_norm: 3.9928 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6771 loss: 1.6771 2022/08/02 13:40:10 - mmengine - INFO - Epoch(train) [50][1800/1879] lr: 2.0000e-02 eta: 1 day, 23:46:25 time: 0.9380 data_time: 0.0314 memory: 11089 grad_norm: 3.9143 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0360 loss: 2.0360 2022/08/02 13:40:28 - mmengine - INFO - Epoch(train) [50][1820/1879] lr: 2.0000e-02 eta: 1 day, 23:46:07 time: 0.9287 data_time: 0.0322 memory: 11089 grad_norm: 3.9724 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8962 loss: 1.8962 2022/08/02 13:40:47 - mmengine - INFO - Epoch(train) [50][1840/1879] lr: 2.0000e-02 eta: 1 day, 23:45:48 time: 0.9028 data_time: 0.0218 memory: 11089 grad_norm: 3.9825 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8245 loss: 1.8245 2022/08/02 13:41:05 - mmengine - INFO - Epoch(train) [50][1860/1879] lr: 2.0000e-02 eta: 1 day, 23:45:31 time: 0.9370 data_time: 0.0316 memory: 11089 grad_norm: 3.9785 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8798 loss: 1.8798 2022/08/02 13:41:23 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 13:41:23 - mmengine - INFO - Epoch(train) [50][1879/1879] lr: 2.0000e-02 eta: 1 day, 23:45:31 time: 0.9081 data_time: 0.0264 memory: 11089 grad_norm: 4.1476 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.9742 loss: 1.9742 2022/08/02 13:41:32 - mmengine - INFO - Epoch(val) [50][20/155] eta: 0:01:00 time: 0.4460 data_time: 0.1298 memory: 1950 2022/08/02 13:41:38 - mmengine - INFO - Epoch(val) [50][40/155] eta: 0:00:36 time: 0.3195 data_time: 0.0114 memory: 1950 2022/08/02 13:41:46 - mmengine - INFO - Epoch(val) [50][60/155] eta: 0:00:38 time: 0.4052 data_time: 0.0241 memory: 1950 2022/08/02 13:41:52 - mmengine - INFO - Epoch(val) [50][80/155] eta: 0:00:24 time: 0.3222 data_time: 0.0118 memory: 1950 2022/08/02 13:41:59 - mmengine - INFO - Epoch(val) [50][100/155] eta: 0:00:18 time: 0.3274 data_time: 0.0122 memory: 1950 2022/08/02 13:42:06 - mmengine - INFO - Epoch(val) [50][120/155] eta: 0:00:11 time: 0.3410 data_time: 0.0142 memory: 1950 2022/08/02 13:42:13 - mmengine - INFO - Epoch(val) [50][140/155] eta: 0:00:05 time: 0.3516 data_time: 0.0107 memory: 1950 2022/08/02 13:42:20 - mmengine - INFO - Epoch(val) [50][155/155] acc/top1: 0.6022 acc/top5: 0.8282 acc/mean1: 0.6020 2022/08/02 13:42:40 - mmengine - INFO - Epoch(train) [51][20/1879] lr: 2.0000e-02 eta: 1 day, 23:44:25 time: 1.0248 data_time: 0.1526 memory: 11089 grad_norm: 3.9929 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9471 loss: 1.9471 2022/08/02 13:42:59 - mmengine - INFO - Epoch(train) [51][40/1879] lr: 2.0000e-02 eta: 1 day, 23:44:08 time: 0.9468 data_time: 0.0286 memory: 11089 grad_norm: 4.0079 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9679 loss: 1.9679 2022/08/02 13:43:08 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 13:43:18 - mmengine - INFO - Epoch(train) [51][60/1879] lr: 2.0000e-02 eta: 1 day, 23:43:50 time: 0.9340 data_time: 0.0272 memory: 11089 grad_norm: 3.9318 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8358 loss: 1.8358 2022/08/02 13:43:37 - mmengine - INFO - Epoch(train) [51][80/1879] lr: 2.0000e-02 eta: 1 day, 23:43:33 time: 0.9275 data_time: 0.0322 memory: 11089 grad_norm: 4.0930 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9936 loss: 1.9936 2022/08/02 13:43:56 - mmengine - INFO - Epoch(train) [51][100/1879] lr: 2.0000e-02 eta: 1 day, 23:43:16 time: 0.9557 data_time: 0.0296 memory: 11089 grad_norm: 3.8526 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9325 loss: 1.9325 2022/08/02 13:44:14 - mmengine - INFO - Epoch(train) [51][120/1879] lr: 2.0000e-02 eta: 1 day, 23:42:57 time: 0.9028 data_time: 0.0257 memory: 11089 grad_norm: 4.0379 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9347 loss: 1.9347 2022/08/02 13:44:32 - mmengine - INFO - Epoch(train) [51][140/1879] lr: 2.0000e-02 eta: 1 day, 23:42:38 time: 0.8956 data_time: 0.0266 memory: 11089 grad_norm: 3.9718 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7853 loss: 1.7853 2022/08/02 13:44:50 - mmengine - INFO - Epoch(train) [51][160/1879] lr: 2.0000e-02 eta: 1 day, 23:42:21 time: 0.9442 data_time: 0.0280 memory: 11089 grad_norm: 4.0083 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8827 loss: 1.8827 2022/08/02 13:45:09 - mmengine - INFO - Epoch(train) [51][180/1879] lr: 2.0000e-02 eta: 1 day, 23:42:03 time: 0.9266 data_time: 0.0265 memory: 11089 grad_norm: 3.9690 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9292 loss: 1.9292 2022/08/02 13:45:27 - mmengine - INFO - Epoch(train) [51][200/1879] lr: 2.0000e-02 eta: 1 day, 23:41:44 time: 0.9033 data_time: 0.0320 memory: 11089 grad_norm: 3.9933 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7846 loss: 1.7846 2022/08/02 13:45:45 - mmengine - INFO - Epoch(train) [51][220/1879] lr: 2.0000e-02 eta: 1 day, 23:41:26 time: 0.9093 data_time: 0.0240 memory: 11089 grad_norm: 4.1565 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8567 loss: 1.8567 2022/08/02 13:46:04 - mmengine - INFO - Epoch(train) [51][240/1879] lr: 2.0000e-02 eta: 1 day, 23:41:08 time: 0.9138 data_time: 0.0308 memory: 11089 grad_norm: 4.1281 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9117 loss: 1.9117 2022/08/02 13:46:22 - mmengine - INFO - Epoch(train) [51][260/1879] lr: 2.0000e-02 eta: 1 day, 23:40:49 time: 0.9138 data_time: 0.0317 memory: 11089 grad_norm: 4.0606 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0159 loss: 2.0159 2022/08/02 13:46:41 - mmengine - INFO - Epoch(train) [51][280/1879] lr: 2.0000e-02 eta: 1 day, 23:40:32 time: 0.9436 data_time: 0.0286 memory: 11089 grad_norm: 4.0079 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9950 loss: 1.9950 2022/08/02 13:47:00 - mmengine - INFO - Epoch(train) [51][300/1879] lr: 2.0000e-02 eta: 1 day, 23:40:15 time: 0.9379 data_time: 0.0328 memory: 11089 grad_norm: 4.0552 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0400 loss: 2.0400 2022/08/02 13:47:18 - mmengine - INFO - Epoch(train) [51][320/1879] lr: 2.0000e-02 eta: 1 day, 23:39:56 time: 0.9100 data_time: 0.0331 memory: 11089 grad_norm: 4.0151 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8565 loss: 1.8565 2022/08/02 13:47:36 - mmengine - INFO - Epoch(train) [51][340/1879] lr: 2.0000e-02 eta: 1 day, 23:39:38 time: 0.9129 data_time: 0.0297 memory: 11089 grad_norm: 4.0311 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9234 loss: 1.9234 2022/08/02 13:47:54 - mmengine - INFO - Epoch(train) [51][360/1879] lr: 2.0000e-02 eta: 1 day, 23:39:19 time: 0.9035 data_time: 0.0306 memory: 11089 grad_norm: 3.9722 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9625 loss: 1.9625 2022/08/02 13:48:12 - mmengine - INFO - Epoch(train) [51][380/1879] lr: 2.0000e-02 eta: 1 day, 23:39:00 time: 0.9006 data_time: 0.0218 memory: 11089 grad_norm: 4.0027 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0118 loss: 2.0118 2022/08/02 13:48:31 - mmengine - INFO - Epoch(train) [51][400/1879] lr: 2.0000e-02 eta: 1 day, 23:38:43 time: 0.9372 data_time: 0.0348 memory: 11089 grad_norm: 3.9497 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8175 loss: 1.8175 2022/08/02 13:48:49 - mmengine - INFO - Epoch(train) [51][420/1879] lr: 2.0000e-02 eta: 1 day, 23:38:25 time: 0.9263 data_time: 0.0314 memory: 11089 grad_norm: 3.9421 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9192 loss: 1.9192 2022/08/02 13:49:08 - mmengine - INFO - Epoch(train) [51][440/1879] lr: 2.0000e-02 eta: 1 day, 23:38:08 time: 0.9387 data_time: 0.0280 memory: 11089 grad_norm: 3.9924 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9941 loss: 1.9941 2022/08/02 13:49:27 - mmengine - INFO - Epoch(train) [51][460/1879] lr: 2.0000e-02 eta: 1 day, 23:37:50 time: 0.9351 data_time: 0.0301 memory: 11089 grad_norm: 3.9790 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0149 loss: 2.0149 2022/08/02 13:49:47 - mmengine - INFO - Epoch(train) [51][480/1879] lr: 2.0000e-02 eta: 1 day, 23:37:36 time: 1.0161 data_time: 0.0286 memory: 11089 grad_norm: 3.9241 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7390 loss: 1.7390 2022/08/02 13:50:06 - mmengine - INFO - Epoch(train) [51][500/1879] lr: 2.0000e-02 eta: 1 day, 23:37:18 time: 0.9203 data_time: 0.0251 memory: 11089 grad_norm: 4.0419 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9091 loss: 1.9091 2022/08/02 13:50:24 - mmengine - INFO - Epoch(train) [51][520/1879] lr: 2.0000e-02 eta: 1 day, 23:37:00 time: 0.9175 data_time: 0.0309 memory: 11089 grad_norm: 4.1913 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9064 loss: 1.9064 2022/08/02 13:50:42 - mmengine - INFO - Epoch(train) [51][540/1879] lr: 2.0000e-02 eta: 1 day, 23:36:41 time: 0.9075 data_time: 0.0263 memory: 11089 grad_norm: 4.1017 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9278 loss: 1.9278 2022/08/02 13:51:01 - mmengine - INFO - Epoch(train) [51][560/1879] lr: 2.0000e-02 eta: 1 day, 23:36:23 time: 0.9205 data_time: 0.0262 memory: 11089 grad_norm: 4.0492 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7807 loss: 1.7807 2022/08/02 13:51:19 - mmengine - INFO - Epoch(train) [51][580/1879] lr: 2.0000e-02 eta: 1 day, 23:36:05 time: 0.9193 data_time: 0.0380 memory: 11089 grad_norm: 3.9826 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0506 loss: 2.0506 2022/08/02 13:51:37 - mmengine - INFO - Epoch(train) [51][600/1879] lr: 2.0000e-02 eta: 1 day, 23:35:47 time: 0.9328 data_time: 0.0295 memory: 11089 grad_norm: 4.0439 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8491 loss: 1.8491 2022/08/02 13:51:56 - mmengine - INFO - Epoch(train) [51][620/1879] lr: 2.0000e-02 eta: 1 day, 23:35:29 time: 0.9258 data_time: 0.0328 memory: 11089 grad_norm: 4.0495 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9814 loss: 1.9814 2022/08/02 13:52:14 - mmengine - INFO - Epoch(train) [51][640/1879] lr: 2.0000e-02 eta: 1 day, 23:35:11 time: 0.9122 data_time: 0.0255 memory: 11089 grad_norm: 4.0620 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0190 loss: 2.0190 2022/08/02 13:52:32 - mmengine - INFO - Epoch(train) [51][660/1879] lr: 2.0000e-02 eta: 1 day, 23:34:53 time: 0.9108 data_time: 0.0253 memory: 11089 grad_norm: 4.0309 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9492 loss: 1.9492 2022/08/02 13:52:51 - mmengine - INFO - Epoch(train) [51][680/1879] lr: 2.0000e-02 eta: 1 day, 23:34:34 time: 0.9177 data_time: 0.0260 memory: 11089 grad_norm: 3.9841 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9457 loss: 1.9457 2022/08/02 13:53:09 - mmengine - INFO - Epoch(train) [51][700/1879] lr: 2.0000e-02 eta: 1 day, 23:34:16 time: 0.9098 data_time: 0.0293 memory: 11089 grad_norm: 3.9917 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9582 loss: 1.9582 2022/08/02 13:53:27 - mmengine - INFO - Epoch(train) [51][720/1879] lr: 2.0000e-02 eta: 1 day, 23:33:57 time: 0.8951 data_time: 0.0198 memory: 11089 grad_norm: 4.0419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9229 loss: 1.9229 2022/08/02 13:53:45 - mmengine - INFO - Epoch(train) [51][740/1879] lr: 2.0000e-02 eta: 1 day, 23:33:39 time: 0.9178 data_time: 0.0261 memory: 11089 grad_norm: 4.0706 top1_acc: 0.3125 top5_acc: 0.9375 loss_cls: 1.7750 loss: 1.7750 2022/08/02 13:54:03 - mmengine - INFO - Epoch(train) [51][760/1879] lr: 2.0000e-02 eta: 1 day, 23:33:20 time: 0.9083 data_time: 0.0290 memory: 11089 grad_norm: 4.0437 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.7171 loss: 1.7171 2022/08/02 13:54:22 - mmengine - INFO - Epoch(train) [51][780/1879] lr: 2.0000e-02 eta: 1 day, 23:33:03 time: 0.9383 data_time: 0.0255 memory: 11089 grad_norm: 3.9214 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9667 loss: 1.9667 2022/08/02 13:54:40 - mmengine - INFO - Epoch(train) [51][800/1879] lr: 2.0000e-02 eta: 1 day, 23:32:44 time: 0.9012 data_time: 0.0312 memory: 11089 grad_norm: 3.8965 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7612 loss: 1.7612 2022/08/02 13:54:58 - mmengine - INFO - Epoch(train) [51][820/1879] lr: 2.0000e-02 eta: 1 day, 23:32:25 time: 0.9039 data_time: 0.0301 memory: 11089 grad_norm: 4.0032 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9312 loss: 1.9312 2022/08/02 13:55:17 - mmengine - INFO - Epoch(train) [51][840/1879] lr: 2.0000e-02 eta: 1 day, 23:32:07 time: 0.9159 data_time: 0.0251 memory: 11089 grad_norm: 4.0043 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 1.9636 loss: 1.9636 2022/08/02 13:55:35 - mmengine - INFO - Epoch(train) [51][860/1879] lr: 2.0000e-02 eta: 1 day, 23:31:48 time: 0.9041 data_time: 0.0289 memory: 11089 grad_norm: 4.0158 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9192 loss: 1.9192 2022/08/02 13:55:53 - mmengine - INFO - Epoch(train) [51][880/1879] lr: 2.0000e-02 eta: 1 day, 23:31:30 time: 0.9214 data_time: 0.0246 memory: 11089 grad_norm: 4.0491 top1_acc: 0.3125 top5_acc: 0.9375 loss_cls: 2.0419 loss: 2.0419 2022/08/02 13:56:11 - mmengine - INFO - Epoch(train) [51][900/1879] lr: 2.0000e-02 eta: 1 day, 23:31:12 time: 0.9146 data_time: 0.0250 memory: 11089 grad_norm: 4.0709 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8754 loss: 1.8754 2022/08/02 13:56:30 - mmengine - INFO - Epoch(train) [51][920/1879] lr: 2.0000e-02 eta: 1 day, 23:30:54 time: 0.9174 data_time: 0.0288 memory: 11089 grad_norm: 3.9385 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7879 loss: 1.7879 2022/08/02 13:56:48 - mmengine - INFO - Epoch(train) [51][940/1879] lr: 2.0000e-02 eta: 1 day, 23:30:35 time: 0.9093 data_time: 0.0271 memory: 11089 grad_norm: 4.0568 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8479 loss: 1.8479 2022/08/02 13:57:06 - mmengine - INFO - Epoch(train) [51][960/1879] lr: 2.0000e-02 eta: 1 day, 23:30:17 time: 0.9173 data_time: 0.0247 memory: 11089 grad_norm: 4.0692 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8821 loss: 1.8821 2022/08/02 13:57:25 - mmengine - INFO - Epoch(train) [51][980/1879] lr: 2.0000e-02 eta: 1 day, 23:29:58 time: 0.9119 data_time: 0.0259 memory: 11089 grad_norm: 3.8944 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9240 loss: 1.9240 2022/08/02 13:57:43 - mmengine - INFO - Epoch(train) [51][1000/1879] lr: 2.0000e-02 eta: 1 day, 23:29:40 time: 0.9200 data_time: 0.0277 memory: 11089 grad_norm: 4.0061 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8391 loss: 1.8391 2022/08/02 13:58:02 - mmengine - INFO - Epoch(train) [51][1020/1879] lr: 2.0000e-02 eta: 1 day, 23:29:23 time: 0.9393 data_time: 0.0291 memory: 11089 grad_norm: 4.1236 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1214 loss: 2.1214 2022/08/02 13:58:20 - mmengine - INFO - Epoch(train) [51][1040/1879] lr: 2.0000e-02 eta: 1 day, 23:29:04 time: 0.9046 data_time: 0.0285 memory: 11089 grad_norm: 3.9938 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9887 loss: 1.9887 2022/08/02 13:58:29 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 13:58:38 - mmengine - INFO - Epoch(train) [51][1060/1879] lr: 2.0000e-02 eta: 1 day, 23:28:46 time: 0.9209 data_time: 0.0300 memory: 11089 grad_norm: 4.0477 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9439 loss: 1.9439 2022/08/02 13:58:57 - mmengine - INFO - Epoch(train) [51][1080/1879] lr: 2.0000e-02 eta: 1 day, 23:28:29 time: 0.9319 data_time: 0.0339 memory: 11089 grad_norm: 3.8965 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8664 loss: 1.8664 2022/08/02 13:59:15 - mmengine - INFO - Epoch(train) [51][1100/1879] lr: 2.0000e-02 eta: 1 day, 23:28:10 time: 0.8928 data_time: 0.0232 memory: 11089 grad_norm: 4.0066 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9978 loss: 1.9978 2022/08/02 13:59:33 - mmengine - INFO - Epoch(train) [51][1120/1879] lr: 2.0000e-02 eta: 1 day, 23:27:51 time: 0.9077 data_time: 0.0228 memory: 11089 grad_norm: 4.0499 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0292 loss: 2.0292 2022/08/02 13:59:52 - mmengine - INFO - Epoch(train) [51][1140/1879] lr: 2.0000e-02 eta: 1 day, 23:27:33 time: 0.9320 data_time: 0.0304 memory: 11089 grad_norm: 3.9616 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1315 loss: 2.1315 2022/08/02 14:00:10 - mmengine - INFO - Epoch(train) [51][1160/1879] lr: 2.0000e-02 eta: 1 day, 23:27:15 time: 0.9123 data_time: 0.0330 memory: 11089 grad_norm: 3.9640 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9259 loss: 1.9259 2022/08/02 14:00:28 - mmengine - INFO - Epoch(train) [51][1180/1879] lr: 2.0000e-02 eta: 1 day, 23:26:56 time: 0.9004 data_time: 0.0263 memory: 11089 grad_norm: 4.0036 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9674 loss: 1.9674 2022/08/02 14:00:46 - mmengine - INFO - Epoch(train) [51][1200/1879] lr: 2.0000e-02 eta: 1 day, 23:26:37 time: 0.9082 data_time: 0.0256 memory: 11089 grad_norm: 3.9893 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9256 loss: 1.9256 2022/08/02 14:01:04 - mmengine - INFO - Epoch(train) [51][1220/1879] lr: 2.0000e-02 eta: 1 day, 23:26:19 time: 0.9097 data_time: 0.0244 memory: 11089 grad_norm: 4.0844 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8089 loss: 1.8089 2022/08/02 14:01:23 - mmengine - INFO - Epoch(train) [51][1240/1879] lr: 2.0000e-02 eta: 1 day, 23:26:01 time: 0.9290 data_time: 0.0253 memory: 11089 grad_norm: 4.1295 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.9723 loss: 1.9723 2022/08/02 14:01:41 - mmengine - INFO - Epoch(train) [51][1260/1879] lr: 2.0000e-02 eta: 1 day, 23:25:43 time: 0.9095 data_time: 0.0268 memory: 11089 grad_norm: 4.0944 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8996 loss: 1.8996 2022/08/02 14:01:59 - mmengine - INFO - Epoch(train) [51][1280/1879] lr: 2.0000e-02 eta: 1 day, 23:25:24 time: 0.9138 data_time: 0.0290 memory: 11089 grad_norm: 3.9909 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0487 loss: 2.0487 2022/08/02 14:02:18 - mmengine - INFO - Epoch(train) [51][1300/1879] lr: 2.0000e-02 eta: 1 day, 23:25:07 time: 0.9313 data_time: 0.0374 memory: 11089 grad_norm: 4.0275 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8243 loss: 1.8243 2022/08/02 14:02:36 - mmengine - INFO - Epoch(train) [51][1320/1879] lr: 2.0000e-02 eta: 1 day, 23:24:49 time: 0.9281 data_time: 0.0268 memory: 11089 grad_norm: 4.0597 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.0971 loss: 2.0971 2022/08/02 14:02:55 - mmengine - INFO - Epoch(train) [51][1340/1879] lr: 2.0000e-02 eta: 1 day, 23:24:30 time: 0.9036 data_time: 0.0302 memory: 11089 grad_norm: 4.0641 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0564 loss: 2.0564 2022/08/02 14:03:13 - mmengine - INFO - Epoch(train) [51][1360/1879] lr: 2.0000e-02 eta: 1 day, 23:24:12 time: 0.9055 data_time: 0.0315 memory: 11089 grad_norm: 3.9853 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9939 loss: 1.9939 2022/08/02 14:03:32 - mmengine - INFO - Epoch(train) [51][1380/1879] lr: 2.0000e-02 eta: 1 day, 23:23:55 time: 0.9525 data_time: 0.0238 memory: 11089 grad_norm: 4.0062 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8604 loss: 1.8604 2022/08/02 14:03:50 - mmengine - INFO - Epoch(train) [51][1400/1879] lr: 2.0000e-02 eta: 1 day, 23:23:36 time: 0.9136 data_time: 0.0284 memory: 11089 grad_norm: 4.1635 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8715 loss: 1.8715 2022/08/02 14:04:08 - mmengine - INFO - Epoch(train) [51][1420/1879] lr: 2.0000e-02 eta: 1 day, 23:23:19 time: 0.9247 data_time: 0.0270 memory: 11089 grad_norm: 4.0172 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8573 loss: 1.8573 2022/08/02 14:04:27 - mmengine - INFO - Epoch(train) [51][1440/1879] lr: 2.0000e-02 eta: 1 day, 23:23:00 time: 0.9218 data_time: 0.0274 memory: 11089 grad_norm: 3.9861 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.1375 loss: 2.1375 2022/08/02 14:04:45 - mmengine - INFO - Epoch(train) [51][1460/1879] lr: 2.0000e-02 eta: 1 day, 23:22:42 time: 0.9174 data_time: 0.0327 memory: 11089 grad_norm: 4.0080 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8629 loss: 1.8629 2022/08/02 14:05:04 - mmengine - INFO - Epoch(train) [51][1480/1879] lr: 2.0000e-02 eta: 1 day, 23:22:24 time: 0.9176 data_time: 0.0309 memory: 11089 grad_norm: 4.0263 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8735 loss: 1.8735 2022/08/02 14:05:22 - mmengine - INFO - Epoch(train) [51][1500/1879] lr: 2.0000e-02 eta: 1 day, 23:22:06 time: 0.9167 data_time: 0.0243 memory: 11089 grad_norm: 3.9896 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0111 loss: 2.0111 2022/08/02 14:05:40 - mmengine - INFO - Epoch(train) [51][1520/1879] lr: 2.0000e-02 eta: 1 day, 23:21:48 time: 0.9138 data_time: 0.0281 memory: 11089 grad_norm: 3.9778 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7957 loss: 1.7957 2022/08/02 14:05:58 - mmengine - INFO - Epoch(train) [51][1540/1879] lr: 2.0000e-02 eta: 1 day, 23:21:29 time: 0.9075 data_time: 0.0297 memory: 11089 grad_norm: 4.0006 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9698 loss: 1.9698 2022/08/02 14:06:16 - mmengine - INFO - Epoch(train) [51][1560/1879] lr: 2.0000e-02 eta: 1 day, 23:21:10 time: 0.8973 data_time: 0.0296 memory: 11089 grad_norm: 3.9658 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0564 loss: 2.0564 2022/08/02 14:06:34 - mmengine - INFO - Epoch(train) [51][1580/1879] lr: 2.0000e-02 eta: 1 day, 23:20:51 time: 0.8988 data_time: 0.0215 memory: 11089 grad_norm: 4.0517 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6779 loss: 1.6779 2022/08/02 14:06:52 - mmengine - INFO - Epoch(train) [51][1600/1879] lr: 2.0000e-02 eta: 1 day, 23:20:32 time: 0.8938 data_time: 0.0233 memory: 11089 grad_norm: 3.9020 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7365 loss: 1.7365 2022/08/02 14:07:10 - mmengine - INFO - Epoch(train) [51][1620/1879] lr: 2.0000e-02 eta: 1 day, 23:20:14 time: 0.9141 data_time: 0.0329 memory: 11089 grad_norm: 4.1033 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8777 loss: 1.8777 2022/08/02 14:07:29 - mmengine - INFO - Epoch(train) [51][1640/1879] lr: 2.0000e-02 eta: 1 day, 23:19:55 time: 0.9095 data_time: 0.0225 memory: 11089 grad_norm: 4.0132 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9575 loss: 1.9575 2022/08/02 14:07:47 - mmengine - INFO - Epoch(train) [51][1660/1879] lr: 2.0000e-02 eta: 1 day, 23:19:37 time: 0.9223 data_time: 0.0252 memory: 11089 grad_norm: 4.0313 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9736 loss: 1.9736 2022/08/02 14:08:06 - mmengine - INFO - Epoch(train) [51][1680/1879] lr: 2.0000e-02 eta: 1 day, 23:19:19 time: 0.9212 data_time: 0.0243 memory: 11089 grad_norm: 4.0259 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9584 loss: 1.9584 2022/08/02 14:08:24 - mmengine - INFO - Epoch(train) [51][1700/1879] lr: 2.0000e-02 eta: 1 day, 23:19:01 time: 0.9141 data_time: 0.0274 memory: 11089 grad_norm: 4.0526 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0103 loss: 2.0103 2022/08/02 14:08:42 - mmengine - INFO - Epoch(train) [51][1720/1879] lr: 2.0000e-02 eta: 1 day, 23:18:42 time: 0.9119 data_time: 0.0337 memory: 11089 grad_norm: 3.9936 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9547 loss: 1.9547 2022/08/02 14:09:01 - mmengine - INFO - Epoch(train) [51][1740/1879] lr: 2.0000e-02 eta: 1 day, 23:18:25 time: 0.9398 data_time: 0.0295 memory: 11089 grad_norm: 4.0197 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6920 loss: 1.6920 2022/08/02 14:09:19 - mmengine - INFO - Epoch(train) [51][1760/1879] lr: 2.0000e-02 eta: 1 day, 23:18:06 time: 0.9055 data_time: 0.0270 memory: 11089 grad_norm: 3.9838 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6814 loss: 1.6814 2022/08/02 14:09:37 - mmengine - INFO - Epoch(train) [51][1780/1879] lr: 2.0000e-02 eta: 1 day, 23:17:48 time: 0.9117 data_time: 0.0212 memory: 11089 grad_norm: 3.9909 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9791 loss: 1.9791 2022/08/02 14:09:55 - mmengine - INFO - Epoch(train) [51][1800/1879] lr: 2.0000e-02 eta: 1 day, 23:17:29 time: 0.9037 data_time: 0.0236 memory: 11089 grad_norm: 4.0582 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0804 loss: 2.0804 2022/08/02 14:10:14 - mmengine - INFO - Epoch(train) [51][1820/1879] lr: 2.0000e-02 eta: 1 day, 23:17:11 time: 0.9220 data_time: 0.0293 memory: 11089 grad_norm: 4.0355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9422 loss: 1.9422 2022/08/02 14:10:33 - mmengine - INFO - Epoch(train) [51][1840/1879] lr: 2.0000e-02 eta: 1 day, 23:16:54 time: 0.9380 data_time: 0.0286 memory: 11089 grad_norm: 3.9531 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0212 loss: 2.0212 2022/08/02 14:10:51 - mmengine - INFO - Epoch(train) [51][1860/1879] lr: 2.0000e-02 eta: 1 day, 23:16:35 time: 0.9087 data_time: 0.0251 memory: 11089 grad_norm: 4.0743 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8246 loss: 1.8246 2022/08/02 14:11:08 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 14:11:08 - mmengine - INFO - Epoch(train) [51][1879/1879] lr: 2.0000e-02 eta: 1 day, 23:16:35 time: 0.9286 data_time: 0.0305 memory: 11089 grad_norm: 4.2083 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.8236 loss: 1.8236 2022/08/02 14:11:28 - mmengine - INFO - Epoch(train) [52][20/1879] lr: 2.0000e-02 eta: 1 day, 23:15:28 time: 0.9791 data_time: 0.1197 memory: 11089 grad_norm: 4.0462 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8341 loss: 1.8341 2022/08/02 14:11:46 - mmengine - INFO - Epoch(train) [52][40/1879] lr: 2.0000e-02 eta: 1 day, 23:15:10 time: 0.9097 data_time: 0.0339 memory: 11089 grad_norm: 4.0242 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0084 loss: 2.0084 2022/08/02 14:12:04 - mmengine - INFO - Epoch(train) [52][60/1879] lr: 2.0000e-02 eta: 1 day, 23:14:51 time: 0.9053 data_time: 0.0284 memory: 11089 grad_norm: 3.9693 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9573 loss: 1.9573 2022/08/02 14:12:23 - mmengine - INFO - Epoch(train) [52][80/1879] lr: 2.0000e-02 eta: 1 day, 23:14:33 time: 0.9104 data_time: 0.0210 memory: 11089 grad_norm: 4.0744 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8632 loss: 1.8632 2022/08/02 14:12:41 - mmengine - INFO - Epoch(train) [52][100/1879] lr: 2.0000e-02 eta: 1 day, 23:14:15 time: 0.9218 data_time: 0.0296 memory: 11089 grad_norm: 4.0398 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9928 loss: 1.9928 2022/08/02 14:13:00 - mmengine - INFO - Epoch(train) [52][120/1879] lr: 2.0000e-02 eta: 1 day, 23:13:57 time: 0.9345 data_time: 0.0316 memory: 11089 grad_norm: 3.9755 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9634 loss: 1.9634 2022/08/02 14:13:18 - mmengine - INFO - Epoch(train) [52][140/1879] lr: 2.0000e-02 eta: 1 day, 23:13:39 time: 0.9210 data_time: 0.0292 memory: 11089 grad_norm: 4.0440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8997 loss: 1.8997 2022/08/02 14:13:37 - mmengine - INFO - Epoch(train) [52][160/1879] lr: 2.0000e-02 eta: 1 day, 23:13:22 time: 0.9479 data_time: 0.0343 memory: 11089 grad_norm: 4.0284 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9286 loss: 1.9286 2022/08/02 14:13:47 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 14:13:55 - mmengine - INFO - Epoch(train) [52][180/1879] lr: 2.0000e-02 eta: 1 day, 23:13:04 time: 0.9172 data_time: 0.0286 memory: 11089 grad_norm: 4.0654 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8981 loss: 1.8981 2022/08/02 14:14:14 - mmengine - INFO - Epoch(train) [52][200/1879] lr: 2.0000e-02 eta: 1 day, 23:12:47 time: 0.9392 data_time: 0.0358 memory: 11089 grad_norm: 4.0427 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8425 loss: 1.8425 2022/08/02 14:14:33 - mmengine - INFO - Epoch(train) [52][220/1879] lr: 2.0000e-02 eta: 1 day, 23:12:29 time: 0.9225 data_time: 0.0317 memory: 11089 grad_norm: 4.0558 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8793 loss: 1.8793 2022/08/02 14:14:51 - mmengine - INFO - Epoch(train) [52][240/1879] lr: 2.0000e-02 eta: 1 day, 23:12:10 time: 0.9144 data_time: 0.0252 memory: 11089 grad_norm: 4.0629 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9686 loss: 1.9686 2022/08/02 14:15:10 - mmengine - INFO - Epoch(train) [52][260/1879] lr: 2.0000e-02 eta: 1 day, 23:11:52 time: 0.9273 data_time: 0.0300 memory: 11089 grad_norm: 4.0283 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8686 loss: 1.8686 2022/08/02 14:15:27 - mmengine - INFO - Epoch(train) [52][280/1879] lr: 2.0000e-02 eta: 1 day, 23:11:33 time: 0.8856 data_time: 0.0232 memory: 11089 grad_norm: 4.0791 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9061 loss: 1.9061 2022/08/02 14:15:46 - mmengine - INFO - Epoch(train) [52][300/1879] lr: 2.0000e-02 eta: 1 day, 23:11:15 time: 0.9162 data_time: 0.0340 memory: 11089 grad_norm: 4.0729 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8170 loss: 1.8170 2022/08/02 14:16:04 - mmengine - INFO - Epoch(train) [52][320/1879] lr: 2.0000e-02 eta: 1 day, 23:10:56 time: 0.9056 data_time: 0.0314 memory: 11089 grad_norm: 3.9572 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0503 loss: 2.0503 2022/08/02 14:16:22 - mmengine - INFO - Epoch(train) [52][340/1879] lr: 2.0000e-02 eta: 1 day, 23:10:38 time: 0.9054 data_time: 0.0272 memory: 11089 grad_norm: 4.0162 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8374 loss: 1.8374 2022/08/02 14:16:40 - mmengine - INFO - Epoch(train) [52][360/1879] lr: 2.0000e-02 eta: 1 day, 23:10:19 time: 0.9080 data_time: 0.0249 memory: 11089 grad_norm: 4.0114 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8725 loss: 1.8725 2022/08/02 14:16:58 - mmengine - INFO - Epoch(train) [52][380/1879] lr: 2.0000e-02 eta: 1 day, 23:10:01 time: 0.9136 data_time: 0.0329 memory: 11089 grad_norm: 3.9339 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7726 loss: 1.7726 2022/08/02 14:17:16 - mmengine - INFO - Epoch(train) [52][400/1879] lr: 2.0000e-02 eta: 1 day, 23:09:42 time: 0.9070 data_time: 0.0288 memory: 11089 grad_norm: 3.9827 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9295 loss: 1.9295 2022/08/02 14:17:35 - mmengine - INFO - Epoch(train) [52][420/1879] lr: 2.0000e-02 eta: 1 day, 23:09:24 time: 0.9156 data_time: 0.0301 memory: 11089 grad_norm: 4.0469 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0931 loss: 2.0931 2022/08/02 14:17:53 - mmengine - INFO - Epoch(train) [52][440/1879] lr: 2.0000e-02 eta: 1 day, 23:09:06 time: 0.9208 data_time: 0.0286 memory: 11089 grad_norm: 4.0370 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8690 loss: 1.8690 2022/08/02 14:18:12 - mmengine - INFO - Epoch(train) [52][460/1879] lr: 2.0000e-02 eta: 1 day, 23:08:48 time: 0.9212 data_time: 0.0250 memory: 11089 grad_norm: 4.0739 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8017 loss: 1.8017 2022/08/02 14:18:30 - mmengine - INFO - Epoch(train) [52][480/1879] lr: 2.0000e-02 eta: 1 day, 23:08:29 time: 0.9171 data_time: 0.0240 memory: 11089 grad_norm: 3.9632 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9345 loss: 1.9345 2022/08/02 14:18:49 - mmengine - INFO - Epoch(train) [52][500/1879] lr: 2.0000e-02 eta: 1 day, 23:08:12 time: 0.9379 data_time: 0.0289 memory: 11089 grad_norm: 4.0397 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9741 loss: 1.9741 2022/08/02 14:19:07 - mmengine - INFO - Epoch(train) [52][520/1879] lr: 2.0000e-02 eta: 1 day, 23:07:53 time: 0.8957 data_time: 0.0243 memory: 11089 grad_norm: 3.9911 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1657 loss: 2.1657 2022/08/02 14:19:25 - mmengine - INFO - Epoch(train) [52][540/1879] lr: 2.0000e-02 eta: 1 day, 23:07:35 time: 0.9131 data_time: 0.0340 memory: 11089 grad_norm: 3.9702 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9615 loss: 1.9615 2022/08/02 14:19:43 - mmengine - INFO - Epoch(train) [52][560/1879] lr: 2.0000e-02 eta: 1 day, 23:07:17 time: 0.9240 data_time: 0.0239 memory: 11089 grad_norm: 4.0581 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8661 loss: 1.8661 2022/08/02 14:20:02 - mmengine - INFO - Epoch(train) [52][580/1879] lr: 2.0000e-02 eta: 1 day, 23:06:59 time: 0.9250 data_time: 0.0343 memory: 11089 grad_norm: 4.0047 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9742 loss: 1.9742 2022/08/02 14:20:20 - mmengine - INFO - Epoch(train) [52][600/1879] lr: 2.0000e-02 eta: 1 day, 23:06:41 time: 0.9166 data_time: 0.0344 memory: 11089 grad_norm: 4.0628 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.0940 loss: 2.0940 2022/08/02 14:20:38 - mmengine - INFO - Epoch(train) [52][620/1879] lr: 2.0000e-02 eta: 1 day, 23:06:22 time: 0.9101 data_time: 0.0255 memory: 11089 grad_norm: 3.8233 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8609 loss: 1.8609 2022/08/02 14:20:57 - mmengine - INFO - Epoch(train) [52][640/1879] lr: 2.0000e-02 eta: 1 day, 23:06:04 time: 0.9246 data_time: 0.0291 memory: 11089 grad_norm: 4.0154 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8098 loss: 1.8098 2022/08/02 14:21:15 - mmengine - INFO - Epoch(train) [52][660/1879] lr: 2.0000e-02 eta: 1 day, 23:05:46 time: 0.9031 data_time: 0.0276 memory: 11089 grad_norm: 4.1048 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0169 loss: 2.0169 2022/08/02 14:21:34 - mmengine - INFO - Epoch(train) [52][680/1879] lr: 2.0000e-02 eta: 1 day, 23:05:28 time: 0.9377 data_time: 0.0307 memory: 11089 grad_norm: 4.0758 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0865 loss: 2.0865 2022/08/02 14:21:52 - mmengine - INFO - Epoch(train) [52][700/1879] lr: 2.0000e-02 eta: 1 day, 23:05:10 time: 0.9265 data_time: 0.0292 memory: 11089 grad_norm: 4.0508 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0288 loss: 2.0288 2022/08/02 14:22:11 - mmengine - INFO - Epoch(train) [52][720/1879] lr: 2.0000e-02 eta: 1 day, 23:04:52 time: 0.9269 data_time: 0.0283 memory: 11089 grad_norm: 3.9783 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.0374 loss: 2.0374 2022/08/02 14:22:29 - mmengine - INFO - Epoch(train) [52][740/1879] lr: 2.0000e-02 eta: 1 day, 23:04:34 time: 0.9139 data_time: 0.0275 memory: 11089 grad_norm: 3.9799 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8269 loss: 1.8269 2022/08/02 14:22:48 - mmengine - INFO - Epoch(train) [52][760/1879] lr: 2.0000e-02 eta: 1 day, 23:04:17 time: 0.9453 data_time: 0.0277 memory: 11089 grad_norm: 4.1091 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8864 loss: 1.8864 2022/08/02 14:23:06 - mmengine - INFO - Epoch(train) [52][780/1879] lr: 2.0000e-02 eta: 1 day, 23:03:58 time: 0.9037 data_time: 0.0220 memory: 11089 grad_norm: 4.0313 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8401 loss: 1.8401 2022/08/02 14:23:24 - mmengine - INFO - Epoch(train) [52][800/1879] lr: 2.0000e-02 eta: 1 day, 23:03:40 time: 0.9183 data_time: 0.0303 memory: 11089 grad_norm: 4.0508 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0541 loss: 2.0541 2022/08/02 14:23:42 - mmengine - INFO - Epoch(train) [52][820/1879] lr: 2.0000e-02 eta: 1 day, 23:03:22 time: 0.9055 data_time: 0.0254 memory: 11089 grad_norm: 4.0768 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8405 loss: 1.8405 2022/08/02 14:24:01 - mmengine - INFO - Epoch(train) [52][840/1879] lr: 2.0000e-02 eta: 1 day, 23:03:03 time: 0.9169 data_time: 0.0303 memory: 11089 grad_norm: 3.9817 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8159 loss: 1.8159 2022/08/02 14:24:19 - mmengine - INFO - Epoch(train) [52][860/1879] lr: 2.0000e-02 eta: 1 day, 23:02:45 time: 0.9181 data_time: 0.0273 memory: 11089 grad_norm: 4.0347 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9315 loss: 1.9315 2022/08/02 14:24:37 - mmengine - INFO - Epoch(train) [52][880/1879] lr: 2.0000e-02 eta: 1 day, 23:02:26 time: 0.9021 data_time: 0.0241 memory: 11089 grad_norm: 4.0824 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9040 loss: 1.9040 2022/08/02 14:24:56 - mmengine - INFO - Epoch(train) [52][900/1879] lr: 2.0000e-02 eta: 1 day, 23:02:08 time: 0.9159 data_time: 0.0261 memory: 11089 grad_norm: 4.0245 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9060 loss: 1.9060 2022/08/02 14:25:14 - mmengine - INFO - Epoch(train) [52][920/1879] lr: 2.0000e-02 eta: 1 day, 23:01:51 time: 0.9400 data_time: 0.0316 memory: 11089 grad_norm: 3.9732 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8628 loss: 1.8628 2022/08/02 14:25:33 - mmengine - INFO - Epoch(train) [52][940/1879] lr: 2.0000e-02 eta: 1 day, 23:01:33 time: 0.9321 data_time: 0.0314 memory: 11089 grad_norm: 4.0282 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0407 loss: 2.0407 2022/08/02 14:25:52 - mmengine - INFO - Epoch(train) [52][960/1879] lr: 2.0000e-02 eta: 1 day, 23:01:16 time: 0.9449 data_time: 0.0293 memory: 11089 grad_norm: 4.0314 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7415 loss: 1.7415 2022/08/02 14:26:10 - mmengine - INFO - Epoch(train) [52][980/1879] lr: 2.0000e-02 eta: 1 day, 23:00:58 time: 0.9139 data_time: 0.0275 memory: 11089 grad_norm: 4.0468 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9520 loss: 1.9520 2022/08/02 14:26:29 - mmengine - INFO - Epoch(train) [52][1000/1879] lr: 2.0000e-02 eta: 1 day, 23:00:41 time: 0.9564 data_time: 0.0358 memory: 11089 grad_norm: 3.9621 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7449 loss: 1.7449 2022/08/02 14:26:47 - mmengine - INFO - Epoch(train) [52][1020/1879] lr: 2.0000e-02 eta: 1 day, 23:00:22 time: 0.9088 data_time: 0.0293 memory: 11089 grad_norm: 4.0452 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1401 loss: 2.1401 2022/08/02 14:27:06 - mmengine - INFO - Epoch(train) [52][1040/1879] lr: 2.0000e-02 eta: 1 day, 23:00:04 time: 0.9215 data_time: 0.0324 memory: 11089 grad_norm: 4.0600 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.9893 loss: 1.9893 2022/08/02 14:27:24 - mmengine - INFO - Epoch(train) [52][1060/1879] lr: 2.0000e-02 eta: 1 day, 22:59:47 time: 0.9274 data_time: 0.0287 memory: 11089 grad_norm: 4.0228 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9674 loss: 1.9674 2022/08/02 14:27:43 - mmengine - INFO - Epoch(train) [52][1080/1879] lr: 2.0000e-02 eta: 1 day, 22:59:28 time: 0.9119 data_time: 0.0243 memory: 11089 grad_norm: 4.0379 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9337 loss: 1.9337 2022/08/02 14:28:01 - mmengine - INFO - Epoch(train) [52][1100/1879] lr: 2.0000e-02 eta: 1 day, 22:59:11 time: 0.9364 data_time: 0.0314 memory: 11089 grad_norm: 3.9621 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7494 loss: 1.7494 2022/08/02 14:28:20 - mmengine - INFO - Epoch(train) [52][1120/1879] lr: 2.0000e-02 eta: 1 day, 22:58:54 time: 0.9456 data_time: 0.0350 memory: 11089 grad_norm: 4.0783 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0522 loss: 2.0522 2022/08/02 14:28:39 - mmengine - INFO - Epoch(train) [52][1140/1879] lr: 2.0000e-02 eta: 1 day, 22:58:35 time: 0.9114 data_time: 0.0267 memory: 11089 grad_norm: 3.9943 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 1.9307 loss: 1.9307 2022/08/02 14:28:57 - mmengine - INFO - Epoch(train) [52][1160/1879] lr: 2.0000e-02 eta: 1 day, 22:58:17 time: 0.9040 data_time: 0.0271 memory: 11089 grad_norm: 3.9343 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0024 loss: 2.0024 2022/08/02 14:29:07 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 14:29:15 - mmengine - INFO - Epoch(train) [52][1180/1879] lr: 2.0000e-02 eta: 1 day, 22:57:59 time: 0.9265 data_time: 0.0263 memory: 11089 grad_norm: 4.0756 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9878 loss: 1.9878 2022/08/02 14:29:33 - mmengine - INFO - Epoch(train) [52][1200/1879] lr: 2.0000e-02 eta: 1 day, 22:57:40 time: 0.9080 data_time: 0.0261 memory: 11089 grad_norm: 4.0618 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9343 loss: 1.9343 2022/08/02 14:29:52 - mmengine - INFO - Epoch(train) [52][1220/1879] lr: 2.0000e-02 eta: 1 day, 22:57:23 time: 0.9434 data_time: 0.0293 memory: 11089 grad_norm: 4.0531 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0487 loss: 2.0487 2022/08/02 14:30:11 - mmengine - INFO - Epoch(train) [52][1240/1879] lr: 2.0000e-02 eta: 1 day, 22:57:05 time: 0.9211 data_time: 0.0329 memory: 11089 grad_norm: 4.0532 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7822 loss: 1.7822 2022/08/02 14:30:29 - mmengine - INFO - Epoch(train) [52][1260/1879] lr: 2.0000e-02 eta: 1 day, 22:56:47 time: 0.9146 data_time: 0.0288 memory: 11089 grad_norm: 4.0848 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0324 loss: 2.0324 2022/08/02 14:30:47 - mmengine - INFO - Epoch(train) [52][1280/1879] lr: 2.0000e-02 eta: 1 day, 22:56:28 time: 0.9047 data_time: 0.0255 memory: 11089 grad_norm: 4.0531 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7821 loss: 1.7821 2022/08/02 14:31:06 - mmengine - INFO - Epoch(train) [52][1300/1879] lr: 2.0000e-02 eta: 1 day, 22:56:10 time: 0.9250 data_time: 0.0245 memory: 11089 grad_norm: 3.9592 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9472 loss: 1.9472 2022/08/02 14:31:24 - mmengine - INFO - Epoch(train) [52][1320/1879] lr: 2.0000e-02 eta: 1 day, 22:55:51 time: 0.9075 data_time: 0.0269 memory: 11089 grad_norm: 4.0019 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0858 loss: 2.0858 2022/08/02 14:31:42 - mmengine - INFO - Epoch(train) [52][1340/1879] lr: 2.0000e-02 eta: 1 day, 22:55:34 time: 0.9260 data_time: 0.0278 memory: 11089 grad_norm: 4.0631 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8385 loss: 1.8385 2022/08/02 14:32:00 - mmengine - INFO - Epoch(train) [52][1360/1879] lr: 2.0000e-02 eta: 1 day, 22:55:15 time: 0.9136 data_time: 0.0233 memory: 11089 grad_norm: 3.9864 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9897 loss: 1.9897 2022/08/02 14:32:19 - mmengine - INFO - Epoch(train) [52][1380/1879] lr: 2.0000e-02 eta: 1 day, 22:54:57 time: 0.9166 data_time: 0.0311 memory: 11089 grad_norm: 4.0632 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9727 loss: 1.9727 2022/08/02 14:32:37 - mmengine - INFO - Epoch(train) [52][1400/1879] lr: 2.0000e-02 eta: 1 day, 22:54:39 time: 0.9112 data_time: 0.0263 memory: 11089 grad_norm: 4.0535 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8883 loss: 1.8883 2022/08/02 14:32:55 - mmengine - INFO - Epoch(train) [52][1420/1879] lr: 2.0000e-02 eta: 1 day, 22:54:20 time: 0.9020 data_time: 0.0286 memory: 11089 grad_norm: 3.9912 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9292 loss: 1.9292 2022/08/02 14:33:13 - mmengine - INFO - Epoch(train) [52][1440/1879] lr: 2.0000e-02 eta: 1 day, 22:54:02 time: 0.9181 data_time: 0.0296 memory: 11089 grad_norm: 3.9515 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7152 loss: 1.7152 2022/08/02 14:33:32 - mmengine - INFO - Epoch(train) [52][1460/1879] lr: 2.0000e-02 eta: 1 day, 22:53:44 time: 0.9261 data_time: 0.0275 memory: 11089 grad_norm: 4.1031 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0220 loss: 2.0220 2022/08/02 14:33:50 - mmengine - INFO - Epoch(train) [52][1480/1879] lr: 2.0000e-02 eta: 1 day, 22:53:25 time: 0.9036 data_time: 0.0258 memory: 11089 grad_norm: 4.0521 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9382 loss: 1.9382 2022/08/02 14:34:09 - mmengine - INFO - Epoch(train) [52][1500/1879] lr: 2.0000e-02 eta: 1 day, 22:53:07 time: 0.9254 data_time: 0.0230 memory: 11089 grad_norm: 3.9499 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0119 loss: 2.0119 2022/08/02 14:34:27 - mmengine - INFO - Epoch(train) [52][1520/1879] lr: 2.0000e-02 eta: 1 day, 22:52:49 time: 0.9080 data_time: 0.0248 memory: 11089 grad_norm: 3.9524 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9103 loss: 1.9103 2022/08/02 14:34:45 - mmengine - INFO - Epoch(train) [52][1540/1879] lr: 2.0000e-02 eta: 1 day, 22:52:30 time: 0.9201 data_time: 0.0263 memory: 11089 grad_norm: 4.0555 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8845 loss: 1.8845 2022/08/02 14:35:04 - mmengine - INFO - Epoch(train) [52][1560/1879] lr: 2.0000e-02 eta: 1 day, 22:52:13 time: 0.9384 data_time: 0.0380 memory: 11089 grad_norm: 3.9839 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9593 loss: 1.9593 2022/08/02 14:35:23 - mmengine - INFO - Epoch(train) [52][1580/1879] lr: 2.0000e-02 eta: 1 day, 22:51:55 time: 0.9269 data_time: 0.0265 memory: 11089 grad_norm: 3.9581 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0007 loss: 2.0007 2022/08/02 14:35:41 - mmengine - INFO - Epoch(train) [52][1600/1879] lr: 2.0000e-02 eta: 1 day, 22:51:38 time: 0.9392 data_time: 0.0393 memory: 11089 grad_norm: 4.0434 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.0501 loss: 2.0501 2022/08/02 14:35:59 - mmengine - INFO - Epoch(train) [52][1620/1879] lr: 2.0000e-02 eta: 1 day, 22:51:19 time: 0.9089 data_time: 0.0304 memory: 11089 grad_norm: 4.0531 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8025 loss: 1.8025 2022/08/02 14:36:18 - mmengine - INFO - Epoch(train) [52][1640/1879] lr: 2.0000e-02 eta: 1 day, 22:51:02 time: 0.9301 data_time: 0.0265 memory: 11089 grad_norm: 4.0815 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9076 loss: 1.9076 2022/08/02 14:36:36 - mmengine - INFO - Epoch(train) [52][1660/1879] lr: 2.0000e-02 eta: 1 day, 22:50:44 time: 0.9215 data_time: 0.0324 memory: 11089 grad_norm: 4.0700 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1307 loss: 2.1307 2022/08/02 14:36:55 - mmengine - INFO - Epoch(train) [52][1680/1879] lr: 2.0000e-02 eta: 1 day, 22:50:26 time: 0.9203 data_time: 0.0307 memory: 11089 grad_norm: 4.0023 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9415 loss: 1.9415 2022/08/02 14:37:13 - mmengine - INFO - Epoch(train) [52][1700/1879] lr: 2.0000e-02 eta: 1 day, 22:50:08 time: 0.9242 data_time: 0.0325 memory: 11089 grad_norm: 4.0540 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0366 loss: 2.0366 2022/08/02 14:37:32 - mmengine - INFO - Epoch(train) [52][1720/1879] lr: 2.0000e-02 eta: 1 day, 22:49:50 time: 0.9200 data_time: 0.0272 memory: 11089 grad_norm: 3.9878 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.8653 loss: 1.8653 2022/08/02 14:37:50 - mmengine - INFO - Epoch(train) [52][1740/1879] lr: 2.0000e-02 eta: 1 day, 22:49:31 time: 0.9106 data_time: 0.0254 memory: 11089 grad_norm: 4.1558 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2492 loss: 2.2492 2022/08/02 14:38:08 - mmengine - INFO - Epoch(train) [52][1760/1879] lr: 2.0000e-02 eta: 1 day, 22:49:12 time: 0.8976 data_time: 0.0275 memory: 11089 grad_norm: 3.9250 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8768 loss: 1.8768 2022/08/02 14:38:26 - mmengine - INFO - Epoch(train) [52][1780/1879] lr: 2.0000e-02 eta: 1 day, 22:48:54 time: 0.9218 data_time: 0.0281 memory: 11089 grad_norm: 3.9231 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8914 loss: 1.8914 2022/08/02 14:38:45 - mmengine - INFO - Epoch(train) [52][1800/1879] lr: 2.0000e-02 eta: 1 day, 22:48:36 time: 0.9243 data_time: 0.0358 memory: 11089 grad_norm: 4.0415 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1522 loss: 2.1522 2022/08/02 14:39:03 - mmengine - INFO - Epoch(train) [52][1820/1879] lr: 2.0000e-02 eta: 1 day, 22:48:18 time: 0.9112 data_time: 0.0247 memory: 11089 grad_norm: 3.9819 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8614 loss: 1.8614 2022/08/02 14:39:21 - mmengine - INFO - Epoch(train) [52][1840/1879] lr: 2.0000e-02 eta: 1 day, 22:47:59 time: 0.9158 data_time: 0.0376 memory: 11089 grad_norm: 4.0778 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.9681 loss: 1.9681 2022/08/02 14:39:40 - mmengine - INFO - Epoch(train) [52][1860/1879] lr: 2.0000e-02 eta: 1 day, 22:47:41 time: 0.9122 data_time: 0.0242 memory: 11089 grad_norm: 4.0922 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8551 loss: 1.8551 2022/08/02 14:39:57 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 14:39:57 - mmengine - INFO - Epoch(train) [52][1879/1879] lr: 2.0000e-02 eta: 1 day, 22:47:41 time: 0.8958 data_time: 0.0266 memory: 11089 grad_norm: 4.2502 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.7503 loss: 1.7503 2022/08/02 14:39:57 - mmengine - INFO - Saving checkpoint at 52 epochs 2022/08/02 14:40:20 - mmengine - INFO - Epoch(train) [53][20/1879] lr: 2.0000e-02 eta: 1 day, 22:46:36 time: 1.0145 data_time: 0.1220 memory: 11089 grad_norm: 3.9304 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8658 loss: 1.8658 2022/08/02 14:40:38 - mmengine - INFO - Epoch(train) [53][40/1879] lr: 2.0000e-02 eta: 1 day, 22:46:18 time: 0.9238 data_time: 0.0256 memory: 11089 grad_norm: 4.0457 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8455 loss: 1.8455 2022/08/02 14:40:56 - mmengine - INFO - Epoch(train) [53][60/1879] lr: 2.0000e-02 eta: 1 day, 22:46:00 time: 0.9064 data_time: 0.0270 memory: 11089 grad_norm: 3.8916 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8279 loss: 1.8279 2022/08/02 14:41:15 - mmengine - INFO - Epoch(train) [53][80/1879] lr: 2.0000e-02 eta: 1 day, 22:45:42 time: 0.9147 data_time: 0.0251 memory: 11089 grad_norm: 4.0392 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7405 loss: 1.7405 2022/08/02 14:41:33 - mmengine - INFO - Epoch(train) [53][100/1879] lr: 2.0000e-02 eta: 1 day, 22:45:23 time: 0.9098 data_time: 0.0245 memory: 11089 grad_norm: 3.9992 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.8576 loss: 1.8576 2022/08/02 14:41:51 - mmengine - INFO - Epoch(train) [53][120/1879] lr: 2.0000e-02 eta: 1 day, 22:45:05 time: 0.9189 data_time: 0.0235 memory: 11089 grad_norm: 4.1075 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8432 loss: 1.8432 2022/08/02 14:42:10 - mmengine - INFO - Epoch(train) [53][140/1879] lr: 2.0000e-02 eta: 1 day, 22:44:47 time: 0.9232 data_time: 0.0331 memory: 11089 grad_norm: 4.0662 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8724 loss: 1.8724 2022/08/02 14:42:28 - mmengine - INFO - Epoch(train) [53][160/1879] lr: 2.0000e-02 eta: 1 day, 22:44:29 time: 0.9108 data_time: 0.0285 memory: 11089 grad_norm: 4.0456 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0868 loss: 2.0868 2022/08/02 14:42:46 - mmengine - INFO - Epoch(train) [53][180/1879] lr: 2.0000e-02 eta: 1 day, 22:44:10 time: 0.9113 data_time: 0.0284 memory: 11089 grad_norm: 3.9861 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7833 loss: 1.7833 2022/08/02 14:43:05 - mmengine - INFO - Epoch(train) [53][200/1879] lr: 2.0000e-02 eta: 1 day, 22:43:52 time: 0.9280 data_time: 0.0335 memory: 11089 grad_norm: 4.0929 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7665 loss: 1.7665 2022/08/02 14:43:23 - mmengine - INFO - Epoch(train) [53][220/1879] lr: 2.0000e-02 eta: 1 day, 22:43:34 time: 0.9025 data_time: 0.0290 memory: 11089 grad_norm: 4.0016 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0511 loss: 2.0511 2022/08/02 14:43:42 - mmengine - INFO - Epoch(train) [53][240/1879] lr: 2.0000e-02 eta: 1 day, 22:43:16 time: 0.9308 data_time: 0.0276 memory: 11089 grad_norm: 4.1174 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8944 loss: 1.8944 2022/08/02 14:44:00 - mmengine - INFO - Epoch(train) [53][260/1879] lr: 2.0000e-02 eta: 1 day, 22:42:57 time: 0.9023 data_time: 0.0290 memory: 11089 grad_norm: 4.0667 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9150 loss: 1.9150 2022/08/02 14:44:18 - mmengine - INFO - Epoch(train) [53][280/1879] lr: 2.0000e-02 eta: 1 day, 22:42:39 time: 0.9055 data_time: 0.0309 memory: 11089 grad_norm: 4.1013 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9157 loss: 1.9157 2022/08/02 14:44:28 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 14:44:36 - mmengine - INFO - Epoch(train) [53][300/1879] lr: 2.0000e-02 eta: 1 day, 22:42:21 time: 0.9220 data_time: 0.0297 memory: 11089 grad_norm: 4.1101 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0642 loss: 2.0642 2022/08/02 14:44:54 - mmengine - INFO - Epoch(train) [53][320/1879] lr: 2.0000e-02 eta: 1 day, 22:42:02 time: 0.9103 data_time: 0.0295 memory: 11089 grad_norm: 4.0243 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9121 loss: 1.9121 2022/08/02 14:45:13 - mmengine - INFO - Epoch(train) [53][340/1879] lr: 2.0000e-02 eta: 1 day, 22:41:44 time: 0.9109 data_time: 0.0217 memory: 11089 grad_norm: 4.0429 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9934 loss: 1.9934 2022/08/02 14:45:31 - mmengine - INFO - Epoch(train) [53][360/1879] lr: 2.0000e-02 eta: 1 day, 22:41:26 time: 0.9312 data_time: 0.0281 memory: 11089 grad_norm: 3.9495 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9718 loss: 1.9718 2022/08/02 14:45:50 - mmengine - INFO - Epoch(train) [53][380/1879] lr: 2.0000e-02 eta: 1 day, 22:41:08 time: 0.9226 data_time: 0.0272 memory: 11089 grad_norm: 3.9990 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8930 loss: 1.8930 2022/08/02 14:46:07 - mmengine - INFO - Epoch(train) [53][400/1879] lr: 2.0000e-02 eta: 1 day, 22:40:49 time: 0.8885 data_time: 0.0255 memory: 11089 grad_norm: 4.0977 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1207 loss: 2.1207 2022/08/02 14:46:26 - mmengine - INFO - Epoch(train) [53][420/1879] lr: 2.0000e-02 eta: 1 day, 22:40:30 time: 0.9141 data_time: 0.0222 memory: 11089 grad_norm: 4.0522 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9595 loss: 1.9595 2022/08/02 14:46:44 - mmengine - INFO - Epoch(train) [53][440/1879] lr: 2.0000e-02 eta: 1 day, 22:40:12 time: 0.9164 data_time: 0.0219 memory: 11089 grad_norm: 3.9140 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7841 loss: 1.7841 2022/08/02 14:47:02 - mmengine - INFO - Epoch(train) [53][460/1879] lr: 2.0000e-02 eta: 1 day, 22:39:54 time: 0.9226 data_time: 0.0325 memory: 11089 grad_norm: 3.9711 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9005 loss: 1.9005 2022/08/02 14:47:21 - mmengine - INFO - Epoch(train) [53][480/1879] lr: 2.0000e-02 eta: 1 day, 22:39:36 time: 0.9192 data_time: 0.0215 memory: 11089 grad_norm: 3.9828 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.0703 loss: 2.0703 2022/08/02 14:47:39 - mmengine - INFO - Epoch(train) [53][500/1879] lr: 2.0000e-02 eta: 1 day, 22:39:17 time: 0.9064 data_time: 0.0242 memory: 11089 grad_norm: 4.0947 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0543 loss: 2.0543 2022/08/02 14:47:57 - mmengine - INFO - Epoch(train) [53][520/1879] lr: 2.0000e-02 eta: 1 day, 22:38:59 time: 0.9170 data_time: 0.0282 memory: 11089 grad_norm: 4.0452 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0282 loss: 2.0282 2022/08/02 14:48:16 - mmengine - INFO - Epoch(train) [53][540/1879] lr: 2.0000e-02 eta: 1 day, 22:38:41 time: 0.9233 data_time: 0.0289 memory: 11089 grad_norm: 4.0118 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0307 loss: 2.0307 2022/08/02 14:48:34 - mmengine - INFO - Epoch(train) [53][560/1879] lr: 2.0000e-02 eta: 1 day, 22:38:23 time: 0.9239 data_time: 0.0284 memory: 11089 grad_norm: 4.0509 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.1352 loss: 2.1352 2022/08/02 14:48:53 - mmengine - INFO - Epoch(train) [53][580/1879] lr: 2.0000e-02 eta: 1 day, 22:38:05 time: 0.9180 data_time: 0.0230 memory: 11089 grad_norm: 4.0583 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8258 loss: 1.8258 2022/08/02 14:49:11 - mmengine - INFO - Epoch(train) [53][600/1879] lr: 2.0000e-02 eta: 1 day, 22:37:47 time: 0.9180 data_time: 0.0271 memory: 11089 grad_norm: 4.0603 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9512 loss: 1.9512 2022/08/02 14:49:29 - mmengine - INFO - Epoch(train) [53][620/1879] lr: 2.0000e-02 eta: 1 day, 22:37:28 time: 0.9063 data_time: 0.0280 memory: 11089 grad_norm: 4.0625 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0858 loss: 2.0858 2022/08/02 14:49:47 - mmengine - INFO - Epoch(train) [53][640/1879] lr: 2.0000e-02 eta: 1 day, 22:37:09 time: 0.8891 data_time: 0.0239 memory: 11089 grad_norm: 4.0620 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0692 loss: 2.0692 2022/08/02 14:50:05 - mmengine - INFO - Epoch(train) [53][660/1879] lr: 2.0000e-02 eta: 1 day, 22:36:51 time: 0.9085 data_time: 0.0241 memory: 11089 grad_norm: 4.1579 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0451 loss: 2.0451 2022/08/02 14:50:23 - mmengine - INFO - Epoch(train) [53][680/1879] lr: 2.0000e-02 eta: 1 day, 22:36:32 time: 0.9145 data_time: 0.0333 memory: 11089 grad_norm: 4.0742 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0765 loss: 2.0765 2022/08/02 14:50:42 - mmengine - INFO - Epoch(train) [53][700/1879] lr: 2.0000e-02 eta: 1 day, 22:36:14 time: 0.9146 data_time: 0.0253 memory: 11089 grad_norm: 4.0467 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8073 loss: 1.8073 2022/08/02 14:51:00 - mmengine - INFO - Epoch(train) [53][720/1879] lr: 2.0000e-02 eta: 1 day, 22:35:57 time: 0.9359 data_time: 0.0244 memory: 11089 grad_norm: 3.9881 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9205 loss: 1.9205 2022/08/02 14:51:19 - mmengine - INFO - Epoch(train) [53][740/1879] lr: 2.0000e-02 eta: 1 day, 22:35:38 time: 0.9174 data_time: 0.0270 memory: 11089 grad_norm: 4.0176 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8039 loss: 1.8039 2022/08/02 14:51:37 - mmengine - INFO - Epoch(train) [53][760/1879] lr: 2.0000e-02 eta: 1 day, 22:35:21 time: 0.9324 data_time: 0.0329 memory: 11089 grad_norm: 4.0397 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9498 loss: 1.9498 2022/08/02 14:51:56 - mmengine - INFO - Epoch(train) [53][780/1879] lr: 2.0000e-02 eta: 1 day, 22:35:03 time: 0.9241 data_time: 0.0245 memory: 11089 grad_norm: 4.1245 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.1314 loss: 2.1314 2022/08/02 14:52:14 - mmengine - INFO - Epoch(train) [53][800/1879] lr: 2.0000e-02 eta: 1 day, 22:34:45 time: 0.9237 data_time: 0.0277 memory: 11089 grad_norm: 3.9527 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9822 loss: 1.9822 2022/08/02 14:52:33 - mmengine - INFO - Epoch(train) [53][820/1879] lr: 2.0000e-02 eta: 1 day, 22:34:27 time: 0.9172 data_time: 0.0263 memory: 11089 grad_norm: 4.0550 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9506 loss: 1.9506 2022/08/02 14:52:51 - mmengine - INFO - Epoch(train) [53][840/1879] lr: 2.0000e-02 eta: 1 day, 22:34:08 time: 0.9154 data_time: 0.0278 memory: 11089 grad_norm: 4.0757 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8817 loss: 1.8817 2022/08/02 14:53:09 - mmengine - INFO - Epoch(train) [53][860/1879] lr: 2.0000e-02 eta: 1 day, 22:33:51 time: 0.9261 data_time: 0.0340 memory: 11089 grad_norm: 4.0109 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8879 loss: 1.8879 2022/08/02 14:53:28 - mmengine - INFO - Epoch(train) [53][880/1879] lr: 2.0000e-02 eta: 1 day, 22:33:33 time: 0.9394 data_time: 0.0268 memory: 11089 grad_norm: 4.1162 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9486 loss: 1.9486 2022/08/02 14:53:46 - mmengine - INFO - Epoch(train) [53][900/1879] lr: 2.0000e-02 eta: 1 day, 22:33:15 time: 0.9044 data_time: 0.0259 memory: 11089 grad_norm: 3.9352 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7785 loss: 1.7785 2022/08/02 14:54:05 - mmengine - INFO - Epoch(train) [53][920/1879] lr: 2.0000e-02 eta: 1 day, 22:32:56 time: 0.9196 data_time: 0.0258 memory: 11089 grad_norm: 4.0839 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0766 loss: 2.0766 2022/08/02 14:54:23 - mmengine - INFO - Epoch(train) [53][940/1879] lr: 2.0000e-02 eta: 1 day, 22:32:38 time: 0.9045 data_time: 0.0234 memory: 11089 grad_norm: 3.9988 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0901 loss: 2.0901 2022/08/02 14:54:42 - mmengine - INFO - Epoch(train) [53][960/1879] lr: 2.0000e-02 eta: 1 day, 22:32:20 time: 0.9365 data_time: 0.0316 memory: 11089 grad_norm: 4.0289 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1138 loss: 2.1138 2022/08/02 14:55:00 - mmengine - INFO - Epoch(train) [53][980/1879] lr: 2.0000e-02 eta: 1 day, 22:32:02 time: 0.9204 data_time: 0.0256 memory: 11089 grad_norm: 4.1066 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1172 loss: 2.1172 2022/08/02 14:55:18 - mmengine - INFO - Epoch(train) [53][1000/1879] lr: 2.0000e-02 eta: 1 day, 22:31:44 time: 0.9213 data_time: 0.0324 memory: 11089 grad_norm: 3.9630 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8933 loss: 1.8933 2022/08/02 14:55:37 - mmengine - INFO - Epoch(train) [53][1020/1879] lr: 2.0000e-02 eta: 1 day, 22:31:26 time: 0.9320 data_time: 0.0222 memory: 11089 grad_norm: 3.9760 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8922 loss: 1.8922 2022/08/02 14:55:55 - mmengine - INFO - Epoch(train) [53][1040/1879] lr: 2.0000e-02 eta: 1 day, 22:31:07 time: 0.8864 data_time: 0.0243 memory: 11089 grad_norm: 4.0768 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9941 loss: 1.9941 2022/08/02 14:56:13 - mmengine - INFO - Epoch(train) [53][1060/1879] lr: 2.0000e-02 eta: 1 day, 22:30:48 time: 0.9012 data_time: 0.0278 memory: 11089 grad_norm: 4.0302 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1921 loss: 2.1921 2022/08/02 14:56:31 - mmengine - INFO - Epoch(train) [53][1080/1879] lr: 2.0000e-02 eta: 1 day, 22:30:31 time: 0.9266 data_time: 0.0325 memory: 11089 grad_norm: 3.9776 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9102 loss: 1.9102 2022/08/02 14:56:50 - mmengine - INFO - Epoch(train) [53][1100/1879] lr: 2.0000e-02 eta: 1 day, 22:30:12 time: 0.9197 data_time: 0.0258 memory: 11089 grad_norm: 3.9530 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0139 loss: 2.0139 2022/08/02 14:57:08 - mmengine - INFO - Epoch(train) [53][1120/1879] lr: 2.0000e-02 eta: 1 day, 22:29:54 time: 0.9113 data_time: 0.0337 memory: 11089 grad_norm: 4.0523 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8889 loss: 1.8889 2022/08/02 14:57:26 - mmengine - INFO - Epoch(train) [53][1140/1879] lr: 2.0000e-02 eta: 1 day, 22:29:35 time: 0.8871 data_time: 0.0242 memory: 11089 grad_norm: 4.0387 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8832 loss: 1.8832 2022/08/02 14:57:44 - mmengine - INFO - Epoch(train) [53][1160/1879] lr: 2.0000e-02 eta: 1 day, 22:29:16 time: 0.9164 data_time: 0.0313 memory: 11089 grad_norm: 4.0806 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0562 loss: 2.0562 2022/08/02 14:58:02 - mmengine - INFO - Epoch(train) [53][1180/1879] lr: 2.0000e-02 eta: 1 day, 22:28:58 time: 0.9100 data_time: 0.0282 memory: 11089 grad_norm: 3.9548 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9311 loss: 1.9311 2022/08/02 14:58:20 - mmengine - INFO - Epoch(train) [53][1200/1879] lr: 2.0000e-02 eta: 1 day, 22:28:39 time: 0.9059 data_time: 0.0196 memory: 11089 grad_norm: 4.0602 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8906 loss: 1.8906 2022/08/02 14:58:39 - mmengine - INFO - Epoch(train) [53][1220/1879] lr: 2.0000e-02 eta: 1 day, 22:28:21 time: 0.9161 data_time: 0.0365 memory: 11089 grad_norm: 3.9805 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6075 loss: 1.6075 2022/08/02 14:58:57 - mmengine - INFO - Epoch(train) [53][1240/1879] lr: 2.0000e-02 eta: 1 day, 22:28:04 time: 0.9327 data_time: 0.0289 memory: 11089 grad_norm: 4.0092 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8939 loss: 1.8939 2022/08/02 14:59:16 - mmengine - INFO - Epoch(train) [53][1260/1879] lr: 2.0000e-02 eta: 1 day, 22:27:46 time: 0.9240 data_time: 0.0240 memory: 11089 grad_norm: 3.9183 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8536 loss: 1.8536 2022/08/02 14:59:34 - mmengine - INFO - Epoch(train) [53][1280/1879] lr: 2.0000e-02 eta: 1 day, 22:27:27 time: 0.9171 data_time: 0.0239 memory: 11089 grad_norm: 3.8688 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0463 loss: 2.0463 2022/08/02 14:59:45 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 14:59:52 - mmengine - INFO - Epoch(train) [53][1300/1879] lr: 2.0000e-02 eta: 1 day, 22:27:09 time: 0.9101 data_time: 0.0265 memory: 11089 grad_norm: 4.1359 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1391 loss: 2.1391 2022/08/02 15:00:10 - mmengine - INFO - Epoch(train) [53][1320/1879] lr: 2.0000e-02 eta: 1 day, 22:26:50 time: 0.9040 data_time: 0.0251 memory: 11089 grad_norm: 4.1025 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0354 loss: 2.0354 2022/08/02 15:00:28 - mmengine - INFO - Epoch(train) [53][1340/1879] lr: 2.0000e-02 eta: 1 day, 22:26:31 time: 0.8986 data_time: 0.0237 memory: 11089 grad_norm: 3.9967 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1012 loss: 2.1012 2022/08/02 15:00:47 - mmengine - INFO - Epoch(train) [53][1360/1879] lr: 2.0000e-02 eta: 1 day, 22:26:13 time: 0.9143 data_time: 0.0248 memory: 11089 grad_norm: 4.0131 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0278 loss: 2.0278 2022/08/02 15:01:05 - mmengine - INFO - Epoch(train) [53][1380/1879] lr: 2.0000e-02 eta: 1 day, 22:25:55 time: 0.9341 data_time: 0.0256 memory: 11089 grad_norm: 4.0994 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0855 loss: 2.0855 2022/08/02 15:01:24 - mmengine - INFO - Epoch(train) [53][1400/1879] lr: 2.0000e-02 eta: 1 day, 22:25:37 time: 0.9176 data_time: 0.0346 memory: 11089 grad_norm: 4.0502 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9910 loss: 1.9910 2022/08/02 15:01:42 - mmengine - INFO - Epoch(train) [53][1420/1879] lr: 2.0000e-02 eta: 1 day, 22:25:19 time: 0.9215 data_time: 0.0259 memory: 11089 grad_norm: 4.0464 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0054 loss: 2.0054 2022/08/02 15:02:00 - mmengine - INFO - Epoch(train) [53][1440/1879] lr: 2.0000e-02 eta: 1 day, 22:25:00 time: 0.9008 data_time: 0.0272 memory: 11089 grad_norm: 4.1122 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1046 loss: 2.1046 2022/08/02 15:02:18 - mmengine - INFO - Epoch(train) [53][1460/1879] lr: 2.0000e-02 eta: 1 day, 22:24:41 time: 0.8802 data_time: 0.0304 memory: 11089 grad_norm: 4.0633 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9539 loss: 1.9539 2022/08/02 15:02:36 - mmengine - INFO - Epoch(train) [53][1480/1879] lr: 2.0000e-02 eta: 1 day, 22:24:23 time: 0.9252 data_time: 0.0296 memory: 11089 grad_norm: 4.1230 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7631 loss: 1.7631 2022/08/02 15:02:55 - mmengine - INFO - Epoch(train) [53][1500/1879] lr: 2.0000e-02 eta: 1 day, 22:24:05 time: 0.9094 data_time: 0.0271 memory: 11089 grad_norm: 4.1335 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1047 loss: 2.1047 2022/08/02 15:03:13 - mmengine - INFO - Epoch(train) [53][1520/1879] lr: 2.0000e-02 eta: 1 day, 22:23:47 time: 0.9226 data_time: 0.0281 memory: 11089 grad_norm: 4.0474 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0906 loss: 2.0906 2022/08/02 15:03:31 - mmengine - INFO - Epoch(train) [53][1540/1879] lr: 2.0000e-02 eta: 1 day, 22:23:28 time: 0.9086 data_time: 0.0271 memory: 11089 grad_norm: 3.9595 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7812 loss: 1.7812 2022/08/02 15:03:50 - mmengine - INFO - Epoch(train) [53][1560/1879] lr: 2.0000e-02 eta: 1 day, 22:23:10 time: 0.9224 data_time: 0.0245 memory: 11089 grad_norm: 4.0822 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9542 loss: 1.9542 2022/08/02 15:04:08 - mmengine - INFO - Epoch(train) [53][1580/1879] lr: 2.0000e-02 eta: 1 day, 22:22:52 time: 0.9151 data_time: 0.0201 memory: 11089 grad_norm: 3.9715 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7457 loss: 1.7457 2022/08/02 15:04:26 - mmengine - INFO - Epoch(train) [53][1600/1879] lr: 2.0000e-02 eta: 1 day, 22:22:33 time: 0.9075 data_time: 0.0240 memory: 11089 grad_norm: 4.1283 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0336 loss: 2.0336 2022/08/02 15:04:44 - mmengine - INFO - Epoch(train) [53][1620/1879] lr: 2.0000e-02 eta: 1 day, 22:22:15 time: 0.9198 data_time: 0.0296 memory: 11089 grad_norm: 4.0718 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9459 loss: 1.9459 2022/08/02 15:05:03 - mmengine - INFO - Epoch(train) [53][1640/1879] lr: 2.0000e-02 eta: 1 day, 22:21:57 time: 0.9214 data_time: 0.0276 memory: 11089 grad_norm: 4.0399 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8939 loss: 1.8939 2022/08/02 15:05:21 - mmengine - INFO - Epoch(train) [53][1660/1879] lr: 2.0000e-02 eta: 1 day, 22:21:39 time: 0.9102 data_time: 0.0263 memory: 11089 grad_norm: 4.0411 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9796 loss: 1.9796 2022/08/02 15:05:39 - mmengine - INFO - Epoch(train) [53][1680/1879] lr: 2.0000e-02 eta: 1 day, 22:21:20 time: 0.9044 data_time: 0.0243 memory: 11089 grad_norm: 4.0734 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0176 loss: 2.0176 2022/08/02 15:05:58 - mmengine - INFO - Epoch(train) [53][1700/1879] lr: 2.0000e-02 eta: 1 day, 22:21:03 time: 0.9396 data_time: 0.0281 memory: 11089 grad_norm: 4.0377 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1368 loss: 2.1368 2022/08/02 15:06:17 - mmengine - INFO - Epoch(train) [53][1720/1879] lr: 2.0000e-02 eta: 1 day, 22:20:45 time: 0.9401 data_time: 0.0346 memory: 11089 grad_norm: 3.9677 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8572 loss: 1.8572 2022/08/02 15:06:36 - mmengine - INFO - Epoch(train) [53][1740/1879] lr: 2.0000e-02 eta: 1 day, 22:20:28 time: 0.9438 data_time: 0.0288 memory: 11089 grad_norm: 3.9829 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1012 loss: 2.1012 2022/08/02 15:06:54 - mmengine - INFO - Epoch(train) [53][1760/1879] lr: 2.0000e-02 eta: 1 day, 22:20:10 time: 0.9259 data_time: 0.0289 memory: 11089 grad_norm: 3.9546 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8447 loss: 1.8447 2022/08/02 15:07:13 - mmengine - INFO - Epoch(train) [53][1780/1879] lr: 2.0000e-02 eta: 1 day, 22:19:52 time: 0.9296 data_time: 0.0267 memory: 11089 grad_norm: 4.1134 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0804 loss: 2.0804 2022/08/02 15:07:31 - mmengine - INFO - Epoch(train) [53][1800/1879] lr: 2.0000e-02 eta: 1 day, 22:19:35 time: 0.9282 data_time: 0.0311 memory: 11089 grad_norm: 4.0094 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0091 loss: 2.0091 2022/08/02 15:07:50 - mmengine - INFO - Epoch(train) [53][1820/1879] lr: 2.0000e-02 eta: 1 day, 22:19:16 time: 0.9113 data_time: 0.0265 memory: 11089 grad_norm: 4.0886 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9850 loss: 1.9850 2022/08/02 15:08:08 - mmengine - INFO - Epoch(train) [53][1840/1879] lr: 2.0000e-02 eta: 1 day, 22:18:58 time: 0.9124 data_time: 0.0249 memory: 11089 grad_norm: 4.0113 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7828 loss: 1.7828 2022/08/02 15:08:26 - mmengine - INFO - Epoch(train) [53][1860/1879] lr: 2.0000e-02 eta: 1 day, 22:18:40 time: 0.9192 data_time: 0.0293 memory: 11089 grad_norm: 4.0801 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8066 loss: 1.8066 2022/08/02 15:08:43 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 15:08:43 - mmengine - INFO - Epoch(train) [53][1879/1879] lr: 2.0000e-02 eta: 1 day, 22:18:40 time: 0.8914 data_time: 0.0247 memory: 11089 grad_norm: 4.1841 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.0150 loss: 2.0150 2022/08/02 15:09:04 - mmengine - INFO - Epoch(train) [54][20/1879] lr: 2.0000e-02 eta: 1 day, 22:17:37 time: 1.0562 data_time: 0.1549 memory: 11089 grad_norm: 4.1466 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0218 loss: 2.0218 2022/08/02 15:09:23 - mmengine - INFO - Epoch(train) [54][40/1879] lr: 2.0000e-02 eta: 1 day, 22:17:19 time: 0.9163 data_time: 0.0338 memory: 11089 grad_norm: 4.1208 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0246 loss: 2.0246 2022/08/02 15:09:41 - mmengine - INFO - Epoch(train) [54][60/1879] lr: 2.0000e-02 eta: 1 day, 22:17:01 time: 0.9063 data_time: 0.0344 memory: 11089 grad_norm: 4.0558 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8859 loss: 1.8859 2022/08/02 15:10:00 - mmengine - INFO - Epoch(train) [54][80/1879] lr: 2.0000e-02 eta: 1 day, 22:16:43 time: 0.9382 data_time: 0.0294 memory: 11089 grad_norm: 4.0883 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8726 loss: 1.8726 2022/08/02 15:10:18 - mmengine - INFO - Epoch(train) [54][100/1879] lr: 2.0000e-02 eta: 1 day, 22:16:25 time: 0.9261 data_time: 0.0357 memory: 11089 grad_norm: 4.0830 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8911 loss: 1.8911 2022/08/02 15:10:37 - mmengine - INFO - Epoch(train) [54][120/1879] lr: 2.0000e-02 eta: 1 day, 22:16:07 time: 0.9197 data_time: 0.0247 memory: 11089 grad_norm: 3.9587 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9799 loss: 1.9799 2022/08/02 15:10:55 - mmengine - INFO - Epoch(train) [54][140/1879] lr: 2.0000e-02 eta: 1 day, 22:15:49 time: 0.9237 data_time: 0.0349 memory: 11089 grad_norm: 3.9893 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8540 loss: 1.8540 2022/08/02 15:11:13 - mmengine - INFO - Epoch(train) [54][160/1879] lr: 2.0000e-02 eta: 1 day, 22:15:31 time: 0.9062 data_time: 0.0276 memory: 11089 grad_norm: 4.0191 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8615 loss: 1.8615 2022/08/02 15:11:32 - mmengine - INFO - Epoch(train) [54][180/1879] lr: 2.0000e-02 eta: 1 day, 22:15:13 time: 0.9259 data_time: 0.0316 memory: 11089 grad_norm: 4.1088 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9912 loss: 1.9912 2022/08/02 15:11:51 - mmengine - INFO - Epoch(train) [54][200/1879] lr: 2.0000e-02 eta: 1 day, 22:14:55 time: 0.9397 data_time: 0.0374 memory: 11089 grad_norm: 4.0460 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9081 loss: 1.9081 2022/08/02 15:12:09 - mmengine - INFO - Epoch(train) [54][220/1879] lr: 2.0000e-02 eta: 1 day, 22:14:37 time: 0.9134 data_time: 0.0324 memory: 11089 grad_norm: 4.0719 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0066 loss: 2.0066 2022/08/02 15:12:27 - mmengine - INFO - Epoch(train) [54][240/1879] lr: 2.0000e-02 eta: 1 day, 22:14:19 time: 0.9206 data_time: 0.0281 memory: 11089 grad_norm: 3.9659 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0236 loss: 2.0236 2022/08/02 15:12:46 - mmengine - INFO - Epoch(train) [54][260/1879] lr: 2.0000e-02 eta: 1 day, 22:14:01 time: 0.9343 data_time: 0.0361 memory: 11089 grad_norm: 4.1829 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8307 loss: 1.8307 2022/08/02 15:13:04 - mmengine - INFO - Epoch(train) [54][280/1879] lr: 2.0000e-02 eta: 1 day, 22:13:43 time: 0.9244 data_time: 0.0285 memory: 11089 grad_norm: 4.1206 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9576 loss: 1.9576 2022/08/02 15:13:23 - mmengine - INFO - Epoch(train) [54][300/1879] lr: 2.0000e-02 eta: 1 day, 22:13:26 time: 0.9245 data_time: 0.0302 memory: 11089 grad_norm: 4.1422 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9280 loss: 1.9280 2022/08/02 15:13:41 - mmengine - INFO - Epoch(train) [54][320/1879] lr: 2.0000e-02 eta: 1 day, 22:13:07 time: 0.9018 data_time: 0.0254 memory: 11089 grad_norm: 4.0515 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9765 loss: 1.9765 2022/08/02 15:13:59 - mmengine - INFO - Epoch(train) [54][340/1879] lr: 2.0000e-02 eta: 1 day, 22:12:49 time: 0.9285 data_time: 0.0315 memory: 11089 grad_norm: 4.0017 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1056 loss: 2.1056 2022/08/02 15:14:18 - mmengine - INFO - Epoch(train) [54][360/1879] lr: 2.0000e-02 eta: 1 day, 22:12:31 time: 0.9325 data_time: 0.0287 memory: 11089 grad_norm: 4.0788 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9211 loss: 1.9211 2022/08/02 15:14:36 - mmengine - INFO - Epoch(train) [54][380/1879] lr: 2.0000e-02 eta: 1 day, 22:12:13 time: 0.9022 data_time: 0.0319 memory: 11089 grad_norm: 4.1376 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0095 loss: 2.0095 2022/08/02 15:14:55 - mmengine - INFO - Epoch(train) [54][400/1879] lr: 2.0000e-02 eta: 1 day, 22:11:55 time: 0.9272 data_time: 0.0268 memory: 11089 grad_norm: 4.0571 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7962 loss: 1.7962 2022/08/02 15:15:07 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 15:15:13 - mmengine - INFO - Epoch(train) [54][420/1879] lr: 2.0000e-02 eta: 1 day, 22:11:37 time: 0.9284 data_time: 0.0287 memory: 11089 grad_norm: 4.2135 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9487 loss: 1.9487 2022/08/02 15:15:32 - mmengine - INFO - Epoch(train) [54][440/1879] lr: 2.0000e-02 eta: 1 day, 22:11:19 time: 0.9164 data_time: 0.0248 memory: 11089 grad_norm: 3.9977 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8314 loss: 1.8314 2022/08/02 15:15:50 - mmengine - INFO - Epoch(train) [54][460/1879] lr: 2.0000e-02 eta: 1 day, 22:11:00 time: 0.9021 data_time: 0.0197 memory: 11089 grad_norm: 4.0131 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0544 loss: 2.0544 2022/08/02 15:16:08 - mmengine - INFO - Epoch(train) [54][480/1879] lr: 2.0000e-02 eta: 1 day, 22:10:42 time: 0.9205 data_time: 0.0228 memory: 11089 grad_norm: 4.0894 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0717 loss: 2.0717 2022/08/02 15:16:26 - mmengine - INFO - Epoch(train) [54][500/1879] lr: 2.0000e-02 eta: 1 day, 22:10:23 time: 0.9010 data_time: 0.0283 memory: 11089 grad_norm: 4.0872 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9352 loss: 1.9352 2022/08/02 15:16:45 - mmengine - INFO - Epoch(train) [54][520/1879] lr: 2.0000e-02 eta: 1 day, 22:10:05 time: 0.9233 data_time: 0.0238 memory: 11089 grad_norm: 4.0172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8925 loss: 1.8925 2022/08/02 15:17:03 - mmengine - INFO - Epoch(train) [54][540/1879] lr: 2.0000e-02 eta: 1 day, 22:09:47 time: 0.9266 data_time: 0.0326 memory: 11089 grad_norm: 4.0650 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.9956 loss: 1.9956 2022/08/02 15:17:21 - mmengine - INFO - Epoch(train) [54][560/1879] lr: 2.0000e-02 eta: 1 day, 22:09:29 time: 0.9168 data_time: 0.0263 memory: 11089 grad_norm: 4.0724 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8905 loss: 1.8905 2022/08/02 15:17:40 - mmengine - INFO - Epoch(train) [54][580/1879] lr: 2.0000e-02 eta: 1 day, 22:09:11 time: 0.9294 data_time: 0.0272 memory: 11089 grad_norm: 4.1514 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9642 loss: 1.9642 2022/08/02 15:17:58 - mmengine - INFO - Epoch(train) [54][600/1879] lr: 2.0000e-02 eta: 1 day, 22:08:53 time: 0.9112 data_time: 0.0313 memory: 11089 grad_norm: 4.0958 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9775 loss: 1.9775 2022/08/02 15:18:16 - mmengine - INFO - Epoch(train) [54][620/1879] lr: 2.0000e-02 eta: 1 day, 22:08:34 time: 0.9043 data_time: 0.0250 memory: 11089 grad_norm: 3.9689 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8867 loss: 1.8867 2022/08/02 15:18:34 - mmengine - INFO - Epoch(train) [54][640/1879] lr: 2.0000e-02 eta: 1 day, 22:08:15 time: 0.8995 data_time: 0.0238 memory: 11089 grad_norm: 4.0974 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9451 loss: 1.9451 2022/08/02 15:18:53 - mmengine - INFO - Epoch(train) [54][660/1879] lr: 2.0000e-02 eta: 1 day, 22:07:57 time: 0.9073 data_time: 0.0196 memory: 11089 grad_norm: 4.0547 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8147 loss: 1.8147 2022/08/02 15:19:11 - mmengine - INFO - Epoch(train) [54][680/1879] lr: 2.0000e-02 eta: 1 day, 22:07:39 time: 0.9136 data_time: 0.0269 memory: 11089 grad_norm: 4.0871 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0352 loss: 2.0352 2022/08/02 15:19:30 - mmengine - INFO - Epoch(train) [54][700/1879] lr: 2.0000e-02 eta: 1 day, 22:07:21 time: 0.9380 data_time: 0.0253 memory: 11089 grad_norm: 4.1243 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0477 loss: 2.0477 2022/08/02 15:19:48 - mmengine - INFO - Epoch(train) [54][720/1879] lr: 2.0000e-02 eta: 1 day, 22:07:03 time: 0.9094 data_time: 0.0242 memory: 11089 grad_norm: 4.0174 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.8397 loss: 1.8397 2022/08/02 15:20:06 - mmengine - INFO - Epoch(train) [54][740/1879] lr: 2.0000e-02 eta: 1 day, 22:06:45 time: 0.9210 data_time: 0.0253 memory: 11089 grad_norm: 3.9570 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8662 loss: 1.8662 2022/08/02 15:20:24 - mmengine - INFO - Epoch(train) [54][760/1879] lr: 2.0000e-02 eta: 1 day, 22:06:26 time: 0.9145 data_time: 0.0276 memory: 11089 grad_norm: 4.0769 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9973 loss: 1.9973 2022/08/02 15:20:43 - mmengine - INFO - Epoch(train) [54][780/1879] lr: 2.0000e-02 eta: 1 day, 22:06:08 time: 0.9097 data_time: 0.0284 memory: 11089 grad_norm: 4.0436 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8473 loss: 1.8473 2022/08/02 15:21:01 - mmengine - INFO - Epoch(train) [54][800/1879] lr: 2.0000e-02 eta: 1 day, 22:05:50 time: 0.9217 data_time: 0.0291 memory: 11089 grad_norm: 4.1746 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0699 loss: 2.0699 2022/08/02 15:21:20 - mmengine - INFO - Epoch(train) [54][820/1879] lr: 2.0000e-02 eta: 1 day, 22:05:32 time: 0.9256 data_time: 0.0291 memory: 11089 grad_norm: 4.0242 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8996 loss: 1.8996 2022/08/02 15:21:38 - mmengine - INFO - Epoch(train) [54][840/1879] lr: 2.0000e-02 eta: 1 day, 22:05:14 time: 0.9231 data_time: 0.0261 memory: 11089 grad_norm: 3.9286 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0443 loss: 2.0443 2022/08/02 15:21:56 - mmengine - INFO - Epoch(train) [54][860/1879] lr: 2.0000e-02 eta: 1 day, 22:04:56 time: 0.9186 data_time: 0.0292 memory: 11089 grad_norm: 4.0187 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0982 loss: 2.0982 2022/08/02 15:22:15 - mmengine - INFO - Epoch(train) [54][880/1879] lr: 2.0000e-02 eta: 1 day, 22:04:38 time: 0.9255 data_time: 0.0255 memory: 11089 grad_norm: 3.9753 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7582 loss: 1.7582 2022/08/02 15:22:33 - mmengine - INFO - Epoch(train) [54][900/1879] lr: 2.0000e-02 eta: 1 day, 22:04:19 time: 0.9073 data_time: 0.0202 memory: 11089 grad_norm: 4.0945 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9419 loss: 1.9419 2022/08/02 15:22:51 - mmengine - INFO - Epoch(train) [54][920/1879] lr: 2.0000e-02 eta: 1 day, 22:04:01 time: 0.9126 data_time: 0.0275 memory: 11089 grad_norm: 3.9985 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9714 loss: 1.9714 2022/08/02 15:23:10 - mmengine - INFO - Epoch(train) [54][940/1879] lr: 2.0000e-02 eta: 1 day, 22:03:43 time: 0.9104 data_time: 0.0238 memory: 11089 grad_norm: 3.9765 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9522 loss: 1.9522 2022/08/02 15:23:28 - mmengine - INFO - Epoch(train) [54][960/1879] lr: 2.0000e-02 eta: 1 day, 22:03:24 time: 0.9182 data_time: 0.0341 memory: 11089 grad_norm: 3.9945 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0936 loss: 2.0936 2022/08/02 15:23:46 - mmengine - INFO - Epoch(train) [54][980/1879] lr: 2.0000e-02 eta: 1 day, 22:03:06 time: 0.9069 data_time: 0.0243 memory: 11089 grad_norm: 4.0824 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1004 loss: 2.1004 2022/08/02 15:24:04 - mmengine - INFO - Epoch(train) [54][1000/1879] lr: 2.0000e-02 eta: 1 day, 22:02:48 time: 0.9168 data_time: 0.0318 memory: 11089 grad_norm: 4.0091 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0077 loss: 2.0077 2022/08/02 15:24:22 - mmengine - INFO - Epoch(train) [54][1020/1879] lr: 2.0000e-02 eta: 1 day, 22:02:29 time: 0.9038 data_time: 0.0265 memory: 11089 grad_norm: 4.0270 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9110 loss: 1.9110 2022/08/02 15:24:41 - mmengine - INFO - Epoch(train) [54][1040/1879] lr: 2.0000e-02 eta: 1 day, 22:02:10 time: 0.9077 data_time: 0.0242 memory: 11089 grad_norm: 4.1662 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8962 loss: 1.8962 2022/08/02 15:24:58 - mmengine - INFO - Epoch(train) [54][1060/1879] lr: 2.0000e-02 eta: 1 day, 22:01:51 time: 0.8898 data_time: 0.0191 memory: 11089 grad_norm: 3.9227 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.0157 loss: 2.0157 2022/08/02 15:25:17 - mmengine - INFO - Epoch(train) [54][1080/1879] lr: 2.0000e-02 eta: 1 day, 22:01:33 time: 0.9183 data_time: 0.0264 memory: 11089 grad_norm: 4.0268 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8126 loss: 1.8126 2022/08/02 15:25:35 - mmengine - INFO - Epoch(train) [54][1100/1879] lr: 2.0000e-02 eta: 1 day, 22:01:15 time: 0.9135 data_time: 0.0245 memory: 11089 grad_norm: 4.0047 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8672 loss: 1.8672 2022/08/02 15:25:53 - mmengine - INFO - Epoch(train) [54][1120/1879] lr: 2.0000e-02 eta: 1 day, 22:00:56 time: 0.9021 data_time: 0.0227 memory: 11089 grad_norm: 4.0514 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9624 loss: 1.9624 2022/08/02 15:26:11 - mmengine - INFO - Epoch(train) [54][1140/1879] lr: 2.0000e-02 eta: 1 day, 22:00:37 time: 0.8939 data_time: 0.0226 memory: 11089 grad_norm: 4.0419 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9225 loss: 1.9225 2022/08/02 15:26:30 - mmengine - INFO - Epoch(train) [54][1160/1879] lr: 2.0000e-02 eta: 1 day, 22:00:19 time: 0.9231 data_time: 0.0263 memory: 11089 grad_norm: 4.0169 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1410 loss: 2.1410 2022/08/02 15:26:48 - mmengine - INFO - Epoch(train) [54][1180/1879] lr: 2.0000e-02 eta: 1 day, 22:00:01 time: 0.9319 data_time: 0.0337 memory: 11089 grad_norm: 4.1490 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1992 loss: 2.1992 2022/08/02 15:27:06 - mmengine - INFO - Epoch(train) [54][1200/1879] lr: 2.0000e-02 eta: 1 day, 21:59:43 time: 0.9039 data_time: 0.0277 memory: 11089 grad_norm: 4.0776 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7525 loss: 1.7525 2022/08/02 15:27:25 - mmengine - INFO - Epoch(train) [54][1220/1879] lr: 2.0000e-02 eta: 1 day, 21:59:25 time: 0.9182 data_time: 0.0260 memory: 11089 grad_norm: 4.0944 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0658 loss: 2.0658 2022/08/02 15:27:43 - mmengine - INFO - Epoch(train) [54][1240/1879] lr: 2.0000e-02 eta: 1 day, 21:59:06 time: 0.9062 data_time: 0.0242 memory: 11089 grad_norm: 4.0876 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0219 loss: 2.0219 2022/08/02 15:28:01 - mmengine - INFO - Epoch(train) [54][1260/1879] lr: 2.0000e-02 eta: 1 day, 21:58:47 time: 0.9067 data_time: 0.0243 memory: 11089 grad_norm: 3.9619 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1363 loss: 2.1363 2022/08/02 15:28:19 - mmengine - INFO - Epoch(train) [54][1280/1879] lr: 2.0000e-02 eta: 1 day, 21:58:30 time: 0.9319 data_time: 0.0294 memory: 11089 grad_norm: 4.2518 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1533 loss: 2.1533 2022/08/02 15:28:37 - mmengine - INFO - Epoch(train) [54][1300/1879] lr: 2.0000e-02 eta: 1 day, 21:58:11 time: 0.8968 data_time: 0.0209 memory: 11089 grad_norm: 4.1002 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0205 loss: 2.0205 2022/08/02 15:28:56 - mmengine - INFO - Epoch(train) [54][1320/1879] lr: 2.0000e-02 eta: 1 day, 21:57:52 time: 0.9097 data_time: 0.0267 memory: 11089 grad_norm: 3.9575 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8482 loss: 1.8482 2022/08/02 15:29:14 - mmengine - INFO - Epoch(train) [54][1340/1879] lr: 2.0000e-02 eta: 1 day, 21:57:35 time: 0.9289 data_time: 0.0277 memory: 11089 grad_norm: 4.0113 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1881 loss: 2.1881 2022/08/02 15:29:33 - mmengine - INFO - Epoch(train) [54][1360/1879] lr: 2.0000e-02 eta: 1 day, 21:57:16 time: 0.9170 data_time: 0.0309 memory: 11089 grad_norm: 3.9752 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8892 loss: 1.8892 2022/08/02 15:29:51 - mmengine - INFO - Epoch(train) [54][1380/1879] lr: 2.0000e-02 eta: 1 day, 21:56:58 time: 0.9160 data_time: 0.0303 memory: 11089 grad_norm: 4.1253 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8686 loss: 1.8686 2022/08/02 15:30:09 - mmengine - INFO - Epoch(train) [54][1400/1879] lr: 2.0000e-02 eta: 1 day, 21:56:40 time: 0.9244 data_time: 0.0354 memory: 11089 grad_norm: 4.0337 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8429 loss: 1.8429 2022/08/02 15:30:21 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 15:30:27 - mmengine - INFO - Epoch(train) [54][1420/1879] lr: 2.0000e-02 eta: 1 day, 21:56:22 time: 0.9061 data_time: 0.0323 memory: 11089 grad_norm: 4.0371 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8924 loss: 1.8924 2022/08/02 15:30:46 - mmengine - INFO - Epoch(train) [54][1440/1879] lr: 2.0000e-02 eta: 1 day, 21:56:04 time: 0.9257 data_time: 0.0275 memory: 11089 grad_norm: 4.0684 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9579 loss: 1.9579 2022/08/02 15:31:05 - mmengine - INFO - Epoch(train) [54][1460/1879] lr: 2.0000e-02 eta: 1 day, 21:55:46 time: 0.9307 data_time: 0.0299 memory: 11089 grad_norm: 4.0792 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9728 loss: 1.9728 2022/08/02 15:31:23 - mmengine - INFO - Epoch(train) [54][1480/1879] lr: 2.0000e-02 eta: 1 day, 21:55:28 time: 0.9316 data_time: 0.0309 memory: 11089 grad_norm: 3.9700 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9398 loss: 1.9398 2022/08/02 15:31:41 - mmengine - INFO - Epoch(train) [54][1500/1879] lr: 2.0000e-02 eta: 1 day, 21:55:09 time: 0.8748 data_time: 0.0291 memory: 11089 grad_norm: 4.0459 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9132 loss: 1.9132 2022/08/02 15:31:59 - mmengine - INFO - Epoch(train) [54][1520/1879] lr: 2.0000e-02 eta: 1 day, 21:54:50 time: 0.9035 data_time: 0.0298 memory: 11089 grad_norm: 4.0178 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8792 loss: 1.8792 2022/08/02 15:32:17 - mmengine - INFO - Epoch(train) [54][1540/1879] lr: 2.0000e-02 eta: 1 day, 21:54:31 time: 0.9055 data_time: 0.0233 memory: 11089 grad_norm: 4.0440 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.9488 loss: 1.9488 2022/08/02 15:32:35 - mmengine - INFO - Epoch(train) [54][1560/1879] lr: 2.0000e-02 eta: 1 day, 21:54:13 time: 0.9187 data_time: 0.0245 memory: 11089 grad_norm: 4.0429 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7540 loss: 1.7540 2022/08/02 15:32:53 - mmengine - INFO - Epoch(train) [54][1580/1879] lr: 2.0000e-02 eta: 1 day, 21:53:55 time: 0.9060 data_time: 0.0243 memory: 11089 grad_norm: 4.0663 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8442 loss: 1.8442 2022/08/02 15:33:12 - mmengine - INFO - Epoch(train) [54][1600/1879] lr: 2.0000e-02 eta: 1 day, 21:53:36 time: 0.9105 data_time: 0.0306 memory: 11089 grad_norm: 4.1206 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0164 loss: 2.0164 2022/08/02 15:33:30 - mmengine - INFO - Epoch(train) [54][1620/1879] lr: 2.0000e-02 eta: 1 day, 21:53:18 time: 0.9253 data_time: 0.0305 memory: 11089 grad_norm: 3.9992 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9005 loss: 1.9005 2022/08/02 15:33:49 - mmengine - INFO - Epoch(train) [54][1640/1879] lr: 2.0000e-02 eta: 1 day, 21:53:00 time: 0.9231 data_time: 0.0271 memory: 11089 grad_norm: 3.9393 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9087 loss: 1.9087 2022/08/02 15:34:07 - mmengine - INFO - Epoch(train) [54][1660/1879] lr: 2.0000e-02 eta: 1 day, 21:52:43 time: 0.9360 data_time: 0.0275 memory: 11089 grad_norm: 4.0283 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0830 loss: 2.0830 2022/08/02 15:34:26 - mmengine - INFO - Epoch(train) [54][1680/1879] lr: 2.0000e-02 eta: 1 day, 21:52:25 time: 0.9259 data_time: 0.0329 memory: 11089 grad_norm: 4.1249 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2760 loss: 2.2760 2022/08/02 15:34:44 - mmengine - INFO - Epoch(train) [54][1700/1879] lr: 2.0000e-02 eta: 1 day, 21:52:06 time: 0.9007 data_time: 0.0215 memory: 11089 grad_norm: 4.1663 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1254 loss: 2.1254 2022/08/02 15:35:02 - mmengine - INFO - Epoch(train) [54][1720/1879] lr: 2.0000e-02 eta: 1 day, 21:51:48 time: 0.9250 data_time: 0.0293 memory: 11089 grad_norm: 4.1743 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0368 loss: 2.0368 2022/08/02 15:35:21 - mmengine - INFO - Epoch(train) [54][1740/1879] lr: 2.0000e-02 eta: 1 day, 21:51:30 time: 0.9316 data_time: 0.0295 memory: 11089 grad_norm: 4.0520 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9942 loss: 1.9942 2022/08/02 15:35:39 - mmengine - INFO - Epoch(train) [54][1760/1879] lr: 2.0000e-02 eta: 1 day, 21:51:12 time: 0.9194 data_time: 0.0262 memory: 11089 grad_norm: 4.0630 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8762 loss: 1.8762 2022/08/02 15:35:57 - mmengine - INFO - Epoch(train) [54][1780/1879] lr: 2.0000e-02 eta: 1 day, 21:50:53 time: 0.8961 data_time: 0.0250 memory: 11089 grad_norm: 4.1427 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9611 loss: 1.9611 2022/08/02 15:36:16 - mmengine - INFO - Epoch(train) [54][1800/1879] lr: 2.0000e-02 eta: 1 day, 21:50:35 time: 0.9152 data_time: 0.0274 memory: 11089 grad_norm: 4.0025 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9395 loss: 1.9395 2022/08/02 15:36:33 - mmengine - INFO - Epoch(train) [54][1820/1879] lr: 2.0000e-02 eta: 1 day, 21:50:16 time: 0.8875 data_time: 0.0243 memory: 11089 grad_norm: 4.0851 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0013 loss: 2.0013 2022/08/02 15:36:52 - mmengine - INFO - Epoch(train) [54][1840/1879] lr: 2.0000e-02 eta: 1 day, 21:49:59 time: 0.9446 data_time: 0.0340 memory: 11089 grad_norm: 4.0032 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9328 loss: 1.9328 2022/08/02 15:37:11 - mmengine - INFO - Epoch(train) [54][1860/1879] lr: 2.0000e-02 eta: 1 day, 21:49:40 time: 0.9162 data_time: 0.0260 memory: 11089 grad_norm: 4.0285 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7692 loss: 1.7692 2022/08/02 15:37:28 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 15:37:28 - mmengine - INFO - Epoch(train) [54][1879/1879] lr: 2.0000e-02 eta: 1 day, 21:49:40 time: 0.9129 data_time: 0.0269 memory: 11089 grad_norm: 4.2116 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.6726 loss: 1.6726 2022/08/02 15:37:48 - mmengine - INFO - Epoch(train) [55][20/1879] lr: 2.0000e-02 eta: 1 day, 21:48:37 time: 1.0070 data_time: 0.1425 memory: 11089 grad_norm: 4.1317 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0689 loss: 2.0689 2022/08/02 15:38:06 - mmengine - INFO - Epoch(train) [55][40/1879] lr: 2.0000e-02 eta: 1 day, 21:48:19 time: 0.9111 data_time: 0.0248 memory: 11089 grad_norm: 3.9247 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8041 loss: 1.8041 2022/08/02 15:38:25 - mmengine - INFO - Epoch(train) [55][60/1879] lr: 2.0000e-02 eta: 1 day, 21:48:01 time: 0.9287 data_time: 0.0293 memory: 11089 grad_norm: 4.1101 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9641 loss: 1.9641 2022/08/02 15:38:43 - mmengine - INFO - Epoch(train) [55][80/1879] lr: 2.0000e-02 eta: 1 day, 21:47:43 time: 0.9089 data_time: 0.0288 memory: 11089 grad_norm: 4.0808 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0225 loss: 2.0225 2022/08/02 15:39:02 - mmengine - INFO - Epoch(train) [55][100/1879] lr: 2.0000e-02 eta: 1 day, 21:47:24 time: 0.9206 data_time: 0.0257 memory: 11089 grad_norm: 4.0395 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8400 loss: 1.8400 2022/08/02 15:39:20 - mmengine - INFO - Epoch(train) [55][120/1879] lr: 2.0000e-02 eta: 1 day, 21:47:06 time: 0.9153 data_time: 0.0271 memory: 11089 grad_norm: 3.9945 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8412 loss: 1.8412 2022/08/02 15:39:38 - mmengine - INFO - Epoch(train) [55][140/1879] lr: 2.0000e-02 eta: 1 day, 21:46:48 time: 0.9106 data_time: 0.0265 memory: 11089 grad_norm: 4.0886 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8802 loss: 1.8802 2022/08/02 15:39:56 - mmengine - INFO - Epoch(train) [55][160/1879] lr: 2.0000e-02 eta: 1 day, 21:46:29 time: 0.9085 data_time: 0.0213 memory: 11089 grad_norm: 4.1134 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7410 loss: 1.7410 2022/08/02 15:40:15 - mmengine - INFO - Epoch(train) [55][180/1879] lr: 2.0000e-02 eta: 1 day, 21:46:12 time: 0.9337 data_time: 0.0247 memory: 11089 grad_norm: 4.0244 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8999 loss: 1.8999 2022/08/02 15:40:33 - mmengine - INFO - Epoch(train) [55][200/1879] lr: 2.0000e-02 eta: 1 day, 21:45:53 time: 0.9115 data_time: 0.0281 memory: 11089 grad_norm: 4.0291 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9383 loss: 1.9383 2022/08/02 15:40:51 - mmengine - INFO - Epoch(train) [55][220/1879] lr: 2.0000e-02 eta: 1 day, 21:45:34 time: 0.8829 data_time: 0.0219 memory: 11089 grad_norm: 4.1367 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9702 loss: 1.9702 2022/08/02 15:41:09 - mmengine - INFO - Epoch(train) [55][240/1879] lr: 2.0000e-02 eta: 1 day, 21:45:15 time: 0.9008 data_time: 0.0226 memory: 11089 grad_norm: 4.0420 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9291 loss: 1.9291 2022/08/02 15:41:27 - mmengine - INFO - Epoch(train) [55][260/1879] lr: 2.0000e-02 eta: 1 day, 21:44:57 time: 0.9089 data_time: 0.0227 memory: 11089 grad_norm: 4.0923 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8952 loss: 1.8952 2022/08/02 15:41:46 - mmengine - INFO - Epoch(train) [55][280/1879] lr: 2.0000e-02 eta: 1 day, 21:44:39 time: 0.9372 data_time: 0.0405 memory: 11089 grad_norm: 4.1359 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9697 loss: 1.9697 2022/08/02 15:42:05 - mmengine - INFO - Epoch(train) [55][300/1879] lr: 2.0000e-02 eta: 1 day, 21:44:22 time: 0.9346 data_time: 0.0274 memory: 11089 grad_norm: 4.1012 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9689 loss: 1.9689 2022/08/02 15:42:23 - mmengine - INFO - Epoch(train) [55][320/1879] lr: 2.0000e-02 eta: 1 day, 21:44:04 time: 0.9204 data_time: 0.0353 memory: 11089 grad_norm: 4.0878 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9107 loss: 1.9107 2022/08/02 15:42:42 - mmengine - INFO - Epoch(train) [55][340/1879] lr: 2.0000e-02 eta: 1 day, 21:43:46 time: 0.9394 data_time: 0.0297 memory: 11089 grad_norm: 3.9978 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9282 loss: 1.9282 2022/08/02 15:43:00 - mmengine - INFO - Epoch(train) [55][360/1879] lr: 2.0000e-02 eta: 1 day, 21:43:28 time: 0.9267 data_time: 0.0362 memory: 11089 grad_norm: 4.0590 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9654 loss: 1.9654 2022/08/02 15:43:19 - mmengine - INFO - Epoch(train) [55][380/1879] lr: 2.0000e-02 eta: 1 day, 21:43:11 time: 0.9343 data_time: 0.0297 memory: 11089 grad_norm: 4.0601 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1007 loss: 2.1007 2022/08/02 15:43:37 - mmengine - INFO - Epoch(train) [55][400/1879] lr: 2.0000e-02 eta: 1 day, 21:42:53 time: 0.9205 data_time: 0.0222 memory: 11089 grad_norm: 4.0579 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9581 loss: 1.9581 2022/08/02 15:43:56 - mmengine - INFO - Epoch(train) [55][420/1879] lr: 2.0000e-02 eta: 1 day, 21:42:34 time: 0.9184 data_time: 0.0347 memory: 11089 grad_norm: 4.0306 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9948 loss: 1.9948 2022/08/02 15:44:14 - mmengine - INFO - Epoch(train) [55][440/1879] lr: 2.0000e-02 eta: 1 day, 21:42:16 time: 0.9108 data_time: 0.0345 memory: 11089 grad_norm: 3.9507 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9616 loss: 1.9616 2022/08/02 15:44:32 - mmengine - INFO - Epoch(train) [55][460/1879] lr: 2.0000e-02 eta: 1 day, 21:41:58 time: 0.9144 data_time: 0.0314 memory: 11089 grad_norm: 3.9531 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0086 loss: 2.0086 2022/08/02 15:44:51 - mmengine - INFO - Epoch(train) [55][480/1879] lr: 2.0000e-02 eta: 1 day, 21:41:40 time: 0.9195 data_time: 0.0254 memory: 11089 grad_norm: 4.1119 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9482 loss: 1.9482 2022/08/02 15:45:09 - mmengine - INFO - Epoch(train) [55][500/1879] lr: 2.0000e-02 eta: 1 day, 21:41:21 time: 0.9030 data_time: 0.0239 memory: 11089 grad_norm: 3.9548 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7752 loss: 1.7752 2022/08/02 15:45:28 - mmengine - INFO - Epoch(train) [55][520/1879] lr: 2.0000e-02 eta: 1 day, 21:41:04 time: 0.9520 data_time: 0.0312 memory: 11089 grad_norm: 4.0505 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9342 loss: 1.9342 2022/08/02 15:45:40 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 15:45:46 - mmengine - INFO - Epoch(train) [55][540/1879] lr: 2.0000e-02 eta: 1 day, 21:40:45 time: 0.9010 data_time: 0.0241 memory: 11089 grad_norm: 4.0933 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9594 loss: 1.9594 2022/08/02 15:46:04 - mmengine - INFO - Epoch(train) [55][560/1879] lr: 2.0000e-02 eta: 1 day, 21:40:27 time: 0.9182 data_time: 0.0313 memory: 11089 grad_norm: 4.0109 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7857 loss: 1.7857 2022/08/02 15:46:22 - mmengine - INFO - Epoch(train) [55][580/1879] lr: 2.0000e-02 eta: 1 day, 21:40:08 time: 0.9047 data_time: 0.0240 memory: 11089 grad_norm: 4.0194 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8515 loss: 1.8515 2022/08/02 15:46:41 - mmengine - INFO - Epoch(train) [55][600/1879] lr: 2.0000e-02 eta: 1 day, 21:39:51 time: 0.9259 data_time: 0.0291 memory: 11089 grad_norm: 4.0438 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6663 loss: 1.6663 2022/08/02 15:46:59 - mmengine - INFO - Epoch(train) [55][620/1879] lr: 2.0000e-02 eta: 1 day, 21:39:32 time: 0.9092 data_time: 0.0231 memory: 11089 grad_norm: 4.0790 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9473 loss: 1.9473 2022/08/02 15:47:17 - mmengine - INFO - Epoch(train) [55][640/1879] lr: 2.0000e-02 eta: 1 day, 21:39:14 time: 0.9145 data_time: 0.0287 memory: 11089 grad_norm: 4.0712 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7572 loss: 1.7572 2022/08/02 15:47:36 - mmengine - INFO - Epoch(train) [55][660/1879] lr: 2.0000e-02 eta: 1 day, 21:38:56 time: 0.9275 data_time: 0.0266 memory: 11089 grad_norm: 4.1444 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9496 loss: 1.9496 2022/08/02 15:47:54 - mmengine - INFO - Epoch(train) [55][680/1879] lr: 2.0000e-02 eta: 1 day, 21:38:38 time: 0.9081 data_time: 0.0254 memory: 11089 grad_norm: 4.0505 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9126 loss: 1.9126 2022/08/02 15:48:12 - mmengine - INFO - Epoch(train) [55][700/1879] lr: 2.0000e-02 eta: 1 day, 21:38:19 time: 0.9079 data_time: 0.0273 memory: 11089 grad_norm: 4.0252 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8341 loss: 1.8341 2022/08/02 15:48:30 - mmengine - INFO - Epoch(train) [55][720/1879] lr: 2.0000e-02 eta: 1 day, 21:38:00 time: 0.9054 data_time: 0.0259 memory: 11089 grad_norm: 4.0732 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9057 loss: 1.9057 2022/08/02 15:48:49 - mmengine - INFO - Epoch(train) [55][740/1879] lr: 2.0000e-02 eta: 1 day, 21:37:42 time: 0.9204 data_time: 0.0286 memory: 11089 grad_norm: 4.0285 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8901 loss: 1.8901 2022/08/02 15:49:07 - mmengine - INFO - Epoch(train) [55][760/1879] lr: 2.0000e-02 eta: 1 day, 21:37:24 time: 0.9027 data_time: 0.0225 memory: 11089 grad_norm: 3.9916 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8848 loss: 1.8848 2022/08/02 15:49:25 - mmengine - INFO - Epoch(train) [55][780/1879] lr: 2.0000e-02 eta: 1 day, 21:37:05 time: 0.9006 data_time: 0.0223 memory: 11089 grad_norm: 4.0649 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0576 loss: 2.0576 2022/08/02 15:49:43 - mmengine - INFO - Epoch(train) [55][800/1879] lr: 2.0000e-02 eta: 1 day, 21:36:46 time: 0.9116 data_time: 0.0205 memory: 11089 grad_norm: 4.0636 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9353 loss: 1.9353 2022/08/02 15:50:01 - mmengine - INFO - Epoch(train) [55][820/1879] lr: 2.0000e-02 eta: 1 day, 21:36:28 time: 0.9173 data_time: 0.0235 memory: 11089 grad_norm: 4.1125 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9478 loss: 1.9478 2022/08/02 15:50:19 - mmengine - INFO - Epoch(train) [55][840/1879] lr: 2.0000e-02 eta: 1 day, 21:36:10 time: 0.9091 data_time: 0.0228 memory: 11089 grad_norm: 4.1026 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0057 loss: 2.0057 2022/08/02 15:50:38 - mmengine - INFO - Epoch(train) [55][860/1879] lr: 2.0000e-02 eta: 1 day, 21:35:51 time: 0.9081 data_time: 0.0258 memory: 11089 grad_norm: 4.0564 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8073 loss: 1.8073 2022/08/02 15:50:56 - mmengine - INFO - Epoch(train) [55][880/1879] lr: 2.0000e-02 eta: 1 day, 21:35:33 time: 0.9119 data_time: 0.0249 memory: 11089 grad_norm: 4.0994 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8175 loss: 1.8175 2022/08/02 15:51:14 - mmengine - INFO - Epoch(train) [55][900/1879] lr: 2.0000e-02 eta: 1 day, 21:35:14 time: 0.9092 data_time: 0.0256 memory: 11089 grad_norm: 4.0746 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0570 loss: 2.0570 2022/08/02 15:51:32 - mmengine - INFO - Epoch(train) [55][920/1879] lr: 2.0000e-02 eta: 1 day, 21:34:56 time: 0.9117 data_time: 0.0257 memory: 11089 grad_norm: 3.9925 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8203 loss: 1.8203 2022/08/02 15:51:50 - mmengine - INFO - Epoch(train) [55][940/1879] lr: 2.0000e-02 eta: 1 day, 21:34:37 time: 0.9059 data_time: 0.0256 memory: 11089 grad_norm: 4.0929 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0398 loss: 2.0398 2022/08/02 15:52:09 - mmengine - INFO - Epoch(train) [55][960/1879] lr: 2.0000e-02 eta: 1 day, 21:34:19 time: 0.9155 data_time: 0.0241 memory: 11089 grad_norm: 4.0040 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1589 loss: 2.1589 2022/08/02 15:52:27 - mmengine - INFO - Epoch(train) [55][980/1879] lr: 2.0000e-02 eta: 1 day, 21:34:01 time: 0.9088 data_time: 0.0279 memory: 11089 grad_norm: 4.0932 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9813 loss: 1.9813 2022/08/02 15:52:45 - mmengine - INFO - Epoch(train) [55][1000/1879] lr: 2.0000e-02 eta: 1 day, 21:33:42 time: 0.9115 data_time: 0.0249 memory: 11089 grad_norm: 4.1700 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7826 loss: 1.7826 2022/08/02 15:53:03 - mmengine - INFO - Epoch(train) [55][1020/1879] lr: 2.0000e-02 eta: 1 day, 21:33:24 time: 0.9066 data_time: 0.0244 memory: 11089 grad_norm: 4.0983 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0453 loss: 2.0453 2022/08/02 15:53:22 - mmengine - INFO - Epoch(train) [55][1040/1879] lr: 2.0000e-02 eta: 1 day, 21:33:06 time: 0.9253 data_time: 0.0291 memory: 11089 grad_norm: 4.0236 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0200 loss: 2.0200 2022/08/02 15:53:40 - mmengine - INFO - Epoch(train) [55][1060/1879] lr: 2.0000e-02 eta: 1 day, 21:32:47 time: 0.9091 data_time: 0.0252 memory: 11089 grad_norm: 4.0812 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9227 loss: 1.9227 2022/08/02 15:53:58 - mmengine - INFO - Epoch(train) [55][1080/1879] lr: 2.0000e-02 eta: 1 day, 21:32:29 time: 0.9209 data_time: 0.0269 memory: 11089 grad_norm: 4.1909 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0616 loss: 2.0616 2022/08/02 15:54:17 - mmengine - INFO - Epoch(train) [55][1100/1879] lr: 2.0000e-02 eta: 1 day, 21:32:11 time: 0.9219 data_time: 0.0375 memory: 11089 grad_norm: 4.1804 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6713 loss: 1.6713 2022/08/02 15:54:35 - mmengine - INFO - Epoch(train) [55][1120/1879] lr: 2.0000e-02 eta: 1 day, 21:31:53 time: 0.9041 data_time: 0.0252 memory: 11089 grad_norm: 4.1482 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0450 loss: 2.0450 2022/08/02 15:54:53 - mmengine - INFO - Epoch(train) [55][1140/1879] lr: 2.0000e-02 eta: 1 day, 21:31:34 time: 0.9091 data_time: 0.0303 memory: 11089 grad_norm: 4.0072 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9768 loss: 1.9768 2022/08/02 15:55:11 - mmengine - INFO - Epoch(train) [55][1160/1879] lr: 2.0000e-02 eta: 1 day, 21:31:16 time: 0.9151 data_time: 0.0267 memory: 11089 grad_norm: 4.0684 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8418 loss: 1.8418 2022/08/02 15:55:30 - mmengine - INFO - Epoch(train) [55][1180/1879] lr: 2.0000e-02 eta: 1 day, 21:30:58 time: 0.9135 data_time: 0.0260 memory: 11089 grad_norm: 4.0635 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9127 loss: 1.9127 2022/08/02 15:55:48 - mmengine - INFO - Epoch(train) [55][1200/1879] lr: 2.0000e-02 eta: 1 day, 21:30:39 time: 0.9122 data_time: 0.0263 memory: 11089 grad_norm: 4.0402 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8858 loss: 1.8858 2022/08/02 15:56:06 - mmengine - INFO - Epoch(train) [55][1220/1879] lr: 2.0000e-02 eta: 1 day, 21:30:21 time: 0.9176 data_time: 0.0248 memory: 11089 grad_norm: 4.0938 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0369 loss: 2.0369 2022/08/02 15:56:25 - mmengine - INFO - Epoch(train) [55][1240/1879] lr: 2.0000e-02 eta: 1 day, 21:30:03 time: 0.9153 data_time: 0.0260 memory: 11089 grad_norm: 4.0747 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7849 loss: 1.7849 2022/08/02 15:56:43 - mmengine - INFO - Epoch(train) [55][1260/1879] lr: 2.0000e-02 eta: 1 day, 21:29:45 time: 0.9158 data_time: 0.0246 memory: 11089 grad_norm: 4.0371 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.8205 loss: 1.8205 2022/08/02 15:57:01 - mmengine - INFO - Epoch(train) [55][1280/1879] lr: 2.0000e-02 eta: 1 day, 21:29:26 time: 0.9101 data_time: 0.0240 memory: 11089 grad_norm: 3.9754 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9503 loss: 1.9503 2022/08/02 15:57:19 - mmengine - INFO - Epoch(train) [55][1300/1879] lr: 2.0000e-02 eta: 1 day, 21:29:07 time: 0.9011 data_time: 0.0289 memory: 11089 grad_norm: 4.1783 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8893 loss: 1.8893 2022/08/02 15:57:38 - mmengine - INFO - Epoch(train) [55][1320/1879] lr: 2.0000e-02 eta: 1 day, 21:28:50 time: 0.9316 data_time: 0.0285 memory: 11089 grad_norm: 4.1581 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9841 loss: 1.9841 2022/08/02 15:57:56 - mmengine - INFO - Epoch(train) [55][1340/1879] lr: 2.0000e-02 eta: 1 day, 21:28:31 time: 0.8989 data_time: 0.0266 memory: 11089 grad_norm: 4.0588 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0727 loss: 2.0727 2022/08/02 15:58:14 - mmengine - INFO - Epoch(train) [55][1360/1879] lr: 2.0000e-02 eta: 1 day, 21:28:12 time: 0.9068 data_time: 0.0253 memory: 11089 grad_norm: 4.0651 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8614 loss: 1.8614 2022/08/02 15:58:32 - mmengine - INFO - Epoch(train) [55][1380/1879] lr: 2.0000e-02 eta: 1 day, 21:27:54 time: 0.9130 data_time: 0.0274 memory: 11089 grad_norm: 3.9529 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8326 loss: 1.8326 2022/08/02 15:58:51 - mmengine - INFO - Epoch(train) [55][1400/1879] lr: 2.0000e-02 eta: 1 day, 21:27:36 time: 0.9235 data_time: 0.0340 memory: 11089 grad_norm: 4.0601 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0611 loss: 2.0611 2022/08/02 15:59:09 - mmengine - INFO - Epoch(train) [55][1420/1879] lr: 2.0000e-02 eta: 1 day, 21:27:18 time: 0.9220 data_time: 0.0344 memory: 11089 grad_norm: 4.0569 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8856 loss: 1.8856 2022/08/02 15:59:28 - mmengine - INFO - Epoch(train) [55][1440/1879] lr: 2.0000e-02 eta: 1 day, 21:27:00 time: 0.9230 data_time: 0.0345 memory: 11089 grad_norm: 3.9883 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8566 loss: 1.8566 2022/08/02 15:59:46 - mmengine - INFO - Epoch(train) [55][1460/1879] lr: 2.0000e-02 eta: 1 day, 21:26:42 time: 0.9095 data_time: 0.0288 memory: 11089 grad_norm: 4.0585 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9319 loss: 1.9319 2022/08/02 16:00:04 - mmengine - INFO - Epoch(train) [55][1480/1879] lr: 2.0000e-02 eta: 1 day, 21:26:23 time: 0.9099 data_time: 0.0274 memory: 11089 grad_norm: 4.0367 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9104 loss: 1.9104 2022/08/02 16:00:22 - mmengine - INFO - Epoch(train) [55][1500/1879] lr: 2.0000e-02 eta: 1 day, 21:26:05 time: 0.9158 data_time: 0.0232 memory: 11089 grad_norm: 4.0629 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.0368 loss: 2.0368 2022/08/02 16:00:40 - mmengine - INFO - Epoch(train) [55][1520/1879] lr: 2.0000e-02 eta: 1 day, 21:25:47 time: 0.9120 data_time: 0.0287 memory: 11089 grad_norm: 4.0397 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9333 loss: 1.9333 2022/08/02 16:00:53 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 16:00:59 - mmengine - INFO - Epoch(train) [55][1540/1879] lr: 2.0000e-02 eta: 1 day, 21:25:28 time: 0.9023 data_time: 0.0176 memory: 11089 grad_norm: 3.9728 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9640 loss: 1.9640 2022/08/02 16:01:17 - mmengine - INFO - Epoch(train) [55][1560/1879] lr: 2.0000e-02 eta: 1 day, 21:25:10 time: 0.9230 data_time: 0.0264 memory: 11089 grad_norm: 4.1719 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9223 loss: 1.9223 2022/08/02 16:01:35 - mmengine - INFO - Epoch(train) [55][1580/1879] lr: 2.0000e-02 eta: 1 day, 21:24:51 time: 0.8941 data_time: 0.0251 memory: 11089 grad_norm: 4.1632 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7448 loss: 1.7448 2022/08/02 16:01:53 - mmengine - INFO - Epoch(train) [55][1600/1879] lr: 2.0000e-02 eta: 1 day, 21:24:33 time: 0.9257 data_time: 0.0252 memory: 11089 grad_norm: 4.0654 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0384 loss: 2.0384 2022/08/02 16:02:12 - mmengine - INFO - Epoch(train) [55][1620/1879] lr: 2.0000e-02 eta: 1 day, 21:24:15 time: 0.9169 data_time: 0.0221 memory: 11089 grad_norm: 4.0378 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9301 loss: 1.9301 2022/08/02 16:02:30 - mmengine - INFO - Epoch(train) [55][1640/1879] lr: 2.0000e-02 eta: 1 day, 21:23:57 time: 0.9169 data_time: 0.0264 memory: 11089 grad_norm: 3.9743 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9125 loss: 1.9125 2022/08/02 16:02:49 - mmengine - INFO - Epoch(train) [55][1660/1879] lr: 2.0000e-02 eta: 1 day, 21:23:39 time: 0.9251 data_time: 0.0329 memory: 11089 grad_norm: 4.0725 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8823 loss: 1.8823 2022/08/02 16:03:07 - mmengine - INFO - Epoch(train) [55][1680/1879] lr: 2.0000e-02 eta: 1 day, 21:23:20 time: 0.9133 data_time: 0.0250 memory: 11089 grad_norm: 3.9907 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9077 loss: 1.9077 2022/08/02 16:03:25 - mmengine - INFO - Epoch(train) [55][1700/1879] lr: 2.0000e-02 eta: 1 day, 21:23:02 time: 0.9025 data_time: 0.0268 memory: 11089 grad_norm: 3.9837 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0331 loss: 2.0331 2022/08/02 16:03:43 - mmengine - INFO - Epoch(train) [55][1720/1879] lr: 2.0000e-02 eta: 1 day, 21:22:43 time: 0.9021 data_time: 0.0267 memory: 11089 grad_norm: 4.0348 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0221 loss: 2.0221 2022/08/02 16:04:01 - mmengine - INFO - Epoch(train) [55][1740/1879] lr: 2.0000e-02 eta: 1 day, 21:22:25 time: 0.9142 data_time: 0.0245 memory: 11089 grad_norm: 4.0665 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9027 loss: 1.9027 2022/08/02 16:04:20 - mmengine - INFO - Epoch(train) [55][1760/1879] lr: 2.0000e-02 eta: 1 day, 21:22:06 time: 0.9147 data_time: 0.0278 memory: 11089 grad_norm: 4.0806 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9125 loss: 1.9125 2022/08/02 16:04:38 - mmengine - INFO - Epoch(train) [55][1780/1879] lr: 2.0000e-02 eta: 1 day, 21:21:48 time: 0.9104 data_time: 0.0221 memory: 11089 grad_norm: 3.9555 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9763 loss: 1.9763 2022/08/02 16:04:56 - mmengine - INFO - Epoch(train) [55][1800/1879] lr: 2.0000e-02 eta: 1 day, 21:21:29 time: 0.9063 data_time: 0.0304 memory: 11089 grad_norm: 4.1229 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8865 loss: 1.8865 2022/08/02 16:05:14 - mmengine - INFO - Epoch(train) [55][1820/1879] lr: 2.0000e-02 eta: 1 day, 21:21:11 time: 0.9058 data_time: 0.0265 memory: 11089 grad_norm: 4.1305 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8971 loss: 1.8971 2022/08/02 16:05:33 - mmengine - INFO - Epoch(train) [55][1840/1879] lr: 2.0000e-02 eta: 1 day, 21:20:53 time: 0.9313 data_time: 0.0248 memory: 11089 grad_norm: 4.1011 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8073 loss: 1.8073 2022/08/02 16:05:51 - mmengine - INFO - Epoch(train) [55][1860/1879] lr: 2.0000e-02 eta: 1 day, 21:20:35 time: 0.9345 data_time: 0.0336 memory: 11089 grad_norm: 4.1684 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9718 loss: 1.9718 2022/08/02 16:06:09 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 16:06:09 - mmengine - INFO - Epoch(train) [55][1879/1879] lr: 2.0000e-02 eta: 1 day, 21:20:35 time: 0.9040 data_time: 0.0236 memory: 11089 grad_norm: 4.2953 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.0684 loss: 2.0684 2022/08/02 16:06:17 - mmengine - INFO - Epoch(val) [55][20/155] eta: 0:00:58 time: 0.4342 data_time: 0.1242 memory: 1950 2022/08/02 16:06:24 - mmengine - INFO - Epoch(val) [55][40/155] eta: 0:00:37 time: 0.3220 data_time: 0.0112 memory: 1950 2022/08/02 16:06:30 - mmengine - INFO - Epoch(val) [55][60/155] eta: 0:00:32 time: 0.3372 data_time: 0.0129 memory: 1950 2022/08/02 16:06:37 - mmengine - INFO - Epoch(val) [55][80/155] eta: 0:00:24 time: 0.3245 data_time: 0.0122 memory: 1950 2022/08/02 16:06:43 - mmengine - INFO - Epoch(val) [55][100/155] eta: 0:00:17 time: 0.3236 data_time: 0.0119 memory: 1950 2022/08/02 16:06:50 - mmengine - INFO - Epoch(val) [55][120/155] eta: 0:00:12 time: 0.3483 data_time: 0.0150 memory: 1950 2022/08/02 16:06:58 - mmengine - INFO - Epoch(val) [55][140/155] eta: 0:00:05 time: 0.3761 data_time: 0.0108 memory: 1950 2022/08/02 16:07:05 - mmengine - INFO - Epoch(val) [55][155/155] acc/top1: 0.6019 acc/top5: 0.8278 acc/mean1: 0.6016 2022/08/02 16:07:25 - mmengine - INFO - Epoch(train) [56][20/1879] lr: 2.0000e-02 eta: 1 day, 21:19:32 time: 0.9838 data_time: 0.1131 memory: 11089 grad_norm: 3.9123 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0386 loss: 2.0386 2022/08/02 16:07:43 - mmengine - INFO - Epoch(train) [56][40/1879] lr: 2.0000e-02 eta: 1 day, 21:19:14 time: 0.9190 data_time: 0.0316 memory: 11089 grad_norm: 4.0724 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0447 loss: 2.0447 2022/08/02 16:08:02 - mmengine - INFO - Epoch(train) [56][60/1879] lr: 2.0000e-02 eta: 1 day, 21:18:56 time: 0.9199 data_time: 0.0237 memory: 11089 grad_norm: 4.0439 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8862 loss: 1.8862 2022/08/02 16:08:20 - mmengine - INFO - Epoch(train) [56][80/1879] lr: 2.0000e-02 eta: 1 day, 21:18:37 time: 0.9032 data_time: 0.0319 memory: 11089 grad_norm: 4.0406 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9894 loss: 1.9894 2022/08/02 16:08:39 - mmengine - INFO - Epoch(train) [56][100/1879] lr: 2.0000e-02 eta: 1 day, 21:18:20 time: 0.9374 data_time: 0.0295 memory: 11089 grad_norm: 3.9389 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7987 loss: 1.7987 2022/08/02 16:08:57 - mmengine - INFO - Epoch(train) [56][120/1879] lr: 2.0000e-02 eta: 1 day, 21:18:01 time: 0.8933 data_time: 0.0229 memory: 11089 grad_norm: 3.9908 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7780 loss: 1.7780 2022/08/02 16:09:16 - mmengine - INFO - Epoch(train) [56][140/1879] lr: 2.0000e-02 eta: 1 day, 21:17:44 time: 0.9586 data_time: 0.0285 memory: 11089 grad_norm: 3.9463 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8842 loss: 1.8842 2022/08/02 16:09:34 - mmengine - INFO - Epoch(train) [56][160/1879] lr: 2.0000e-02 eta: 1 day, 21:17:25 time: 0.9001 data_time: 0.0238 memory: 11089 grad_norm: 4.1696 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0262 loss: 2.0262 2022/08/02 16:09:52 - mmengine - INFO - Epoch(train) [56][180/1879] lr: 2.0000e-02 eta: 1 day, 21:17:07 time: 0.9082 data_time: 0.0286 memory: 11089 grad_norm: 4.0846 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9421 loss: 1.9421 2022/08/02 16:10:10 - mmengine - INFO - Epoch(train) [56][200/1879] lr: 2.0000e-02 eta: 1 day, 21:16:48 time: 0.9000 data_time: 0.0221 memory: 11089 grad_norm: 3.9823 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8591 loss: 1.8591 2022/08/02 16:10:28 - mmengine - INFO - Epoch(train) [56][220/1879] lr: 2.0000e-02 eta: 1 day, 21:16:30 time: 0.9150 data_time: 0.0261 memory: 11089 grad_norm: 4.0384 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0087 loss: 2.0087 2022/08/02 16:10:47 - mmengine - INFO - Epoch(train) [56][240/1879] lr: 2.0000e-02 eta: 1 day, 21:16:12 time: 0.9186 data_time: 0.0436 memory: 11089 grad_norm: 3.9785 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9642 loss: 1.9642 2022/08/02 16:11:05 - mmengine - INFO - Epoch(train) [56][260/1879] lr: 2.0000e-02 eta: 1 day, 21:15:54 time: 0.9229 data_time: 0.0268 memory: 11089 grad_norm: 4.1213 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6401 loss: 1.6401 2022/08/02 16:11:23 - mmengine - INFO - Epoch(train) [56][280/1879] lr: 2.0000e-02 eta: 1 day, 21:15:35 time: 0.9023 data_time: 0.0227 memory: 11089 grad_norm: 4.0632 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6867 loss: 1.6867 2022/08/02 16:11:41 - mmengine - INFO - Epoch(train) [56][300/1879] lr: 2.0000e-02 eta: 1 day, 21:15:17 time: 0.9186 data_time: 0.0215 memory: 11089 grad_norm: 3.9796 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9107 loss: 1.9107 2022/08/02 16:11:59 - mmengine - INFO - Epoch(train) [56][320/1879] lr: 2.0000e-02 eta: 1 day, 21:14:58 time: 0.8923 data_time: 0.0223 memory: 11089 grad_norm: 4.0953 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7088 loss: 1.7088 2022/08/02 16:12:18 - mmengine - INFO - Epoch(train) [56][340/1879] lr: 2.0000e-02 eta: 1 day, 21:14:40 time: 0.9384 data_time: 0.0269 memory: 11089 grad_norm: 4.0922 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8802 loss: 1.8802 2022/08/02 16:12:36 - mmengine - INFO - Epoch(train) [56][360/1879] lr: 2.0000e-02 eta: 1 day, 21:14:22 time: 0.8993 data_time: 0.0223 memory: 11089 grad_norm: 4.0596 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9771 loss: 1.9771 2022/08/02 16:12:54 - mmengine - INFO - Epoch(train) [56][380/1879] lr: 2.0000e-02 eta: 1 day, 21:14:03 time: 0.9091 data_time: 0.0244 memory: 11089 grad_norm: 4.0235 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8690 loss: 1.8690 2022/08/02 16:13:12 - mmengine - INFO - Epoch(train) [56][400/1879] lr: 2.0000e-02 eta: 1 day, 21:13:44 time: 0.9021 data_time: 0.0215 memory: 11089 grad_norm: 4.1282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9088 loss: 1.9088 2022/08/02 16:13:31 - mmengine - INFO - Epoch(train) [56][420/1879] lr: 2.0000e-02 eta: 1 day, 21:13:27 time: 0.9291 data_time: 0.0277 memory: 11089 grad_norm: 4.0823 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7868 loss: 1.7868 2022/08/02 16:13:49 - mmengine - INFO - Epoch(train) [56][440/1879] lr: 2.0000e-02 eta: 1 day, 21:13:08 time: 0.9145 data_time: 0.0254 memory: 11089 grad_norm: 4.2281 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9706 loss: 1.9706 2022/08/02 16:14:07 - mmengine - INFO - Epoch(train) [56][460/1879] lr: 2.0000e-02 eta: 1 day, 21:12:50 time: 0.9013 data_time: 0.0229 memory: 11089 grad_norm: 4.1846 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2001 loss: 2.2001 2022/08/02 16:14:25 - mmengine - INFO - Epoch(train) [56][480/1879] lr: 2.0000e-02 eta: 1 day, 21:12:31 time: 0.9103 data_time: 0.0226 memory: 11089 grad_norm: 4.1414 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1721 loss: 2.1721 2022/08/02 16:14:44 - mmengine - INFO - Epoch(train) [56][500/1879] lr: 2.0000e-02 eta: 1 day, 21:12:13 time: 0.9105 data_time: 0.0233 memory: 11089 grad_norm: 4.2503 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0222 loss: 2.0222 2022/08/02 16:15:02 - mmengine - INFO - Epoch(train) [56][520/1879] lr: 2.0000e-02 eta: 1 day, 21:11:54 time: 0.9128 data_time: 0.0250 memory: 11089 grad_norm: 4.0924 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8160 loss: 1.8160 2022/08/02 16:15:21 - mmengine - INFO - Epoch(train) [56][540/1879] lr: 2.0000e-02 eta: 1 day, 21:11:37 time: 0.9399 data_time: 0.0381 memory: 11089 grad_norm: 4.2494 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9192 loss: 1.9192 2022/08/02 16:15:39 - mmengine - INFO - Epoch(train) [56][560/1879] lr: 2.0000e-02 eta: 1 day, 21:11:19 time: 0.9107 data_time: 0.0234 memory: 11089 grad_norm: 4.1044 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1585 loss: 2.1585 2022/08/02 16:15:57 - mmengine - INFO - Epoch(train) [56][580/1879] lr: 2.0000e-02 eta: 1 day, 21:11:00 time: 0.9067 data_time: 0.0272 memory: 11089 grad_norm: 4.0053 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9597 loss: 1.9597 2022/08/02 16:16:15 - mmengine - INFO - Epoch(train) [56][600/1879] lr: 2.0000e-02 eta: 1 day, 21:10:42 time: 0.9109 data_time: 0.0250 memory: 11089 grad_norm: 3.9646 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7373 loss: 1.7373 2022/08/02 16:16:34 - mmengine - INFO - Epoch(train) [56][620/1879] lr: 2.0000e-02 eta: 1 day, 21:10:23 time: 0.9150 data_time: 0.0295 memory: 11089 grad_norm: 3.9981 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9876 loss: 1.9876 2022/08/02 16:16:52 - mmengine - INFO - Epoch(train) [56][640/1879] lr: 2.0000e-02 eta: 1 day, 21:10:05 time: 0.9142 data_time: 0.0238 memory: 11089 grad_norm: 4.0465 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8646 loss: 1.8646 2022/08/02 16:17:06 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 16:17:10 - mmengine - INFO - Epoch(train) [56][660/1879] lr: 2.0000e-02 eta: 1 day, 21:09:47 time: 0.9232 data_time: 0.0262 memory: 11089 grad_norm: 4.0433 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9145 loss: 1.9145 2022/08/02 16:17:29 - mmengine - INFO - Epoch(train) [56][680/1879] lr: 2.0000e-02 eta: 1 day, 21:09:30 time: 0.9406 data_time: 0.0620 memory: 11089 grad_norm: 4.1295 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9797 loss: 1.9797 2022/08/02 16:17:47 - mmengine - INFO - Epoch(train) [56][700/1879] lr: 2.0000e-02 eta: 1 day, 21:09:11 time: 0.9107 data_time: 0.0280 memory: 11089 grad_norm: 4.0662 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9551 loss: 1.9551 2022/08/02 16:18:06 - mmengine - INFO - Epoch(train) [56][720/1879] lr: 2.0000e-02 eta: 1 day, 21:08:54 time: 0.9311 data_time: 0.0242 memory: 11089 grad_norm: 4.0176 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9013 loss: 1.9013 2022/08/02 16:18:24 - mmengine - INFO - Epoch(train) [56][740/1879] lr: 2.0000e-02 eta: 1 day, 21:08:35 time: 0.9136 data_time: 0.0294 memory: 11089 grad_norm: 4.0174 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.0369 loss: 2.0369 2022/08/02 16:18:43 - mmengine - INFO - Epoch(train) [56][760/1879] lr: 2.0000e-02 eta: 1 day, 21:08:17 time: 0.9200 data_time: 0.0256 memory: 11089 grad_norm: 4.0817 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1074 loss: 2.1074 2022/08/02 16:19:01 - mmengine - INFO - Epoch(train) [56][780/1879] lr: 2.0000e-02 eta: 1 day, 21:07:59 time: 0.9204 data_time: 0.0260 memory: 11089 grad_norm: 4.0016 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9040 loss: 1.9040 2022/08/02 16:19:20 - mmengine - INFO - Epoch(train) [56][800/1879] lr: 2.0000e-02 eta: 1 day, 21:07:41 time: 0.9235 data_time: 0.0323 memory: 11089 grad_norm: 4.0906 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0193 loss: 2.0193 2022/08/02 16:19:38 - mmengine - INFO - Epoch(train) [56][820/1879] lr: 2.0000e-02 eta: 1 day, 21:07:23 time: 0.9042 data_time: 0.0311 memory: 11089 grad_norm: 4.0905 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8411 loss: 1.8411 2022/08/02 16:19:56 - mmengine - INFO - Epoch(train) [56][840/1879] lr: 2.0000e-02 eta: 1 day, 21:07:05 time: 0.9180 data_time: 0.0223 memory: 11089 grad_norm: 4.1077 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9560 loss: 1.9560 2022/08/02 16:20:14 - mmengine - INFO - Epoch(train) [56][860/1879] lr: 2.0000e-02 eta: 1 day, 21:06:46 time: 0.9133 data_time: 0.0309 memory: 11089 grad_norm: 4.1271 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0399 loss: 2.0399 2022/08/02 16:20:32 - mmengine - INFO - Epoch(train) [56][880/1879] lr: 2.0000e-02 eta: 1 day, 21:06:28 time: 0.9106 data_time: 0.0256 memory: 11089 grad_norm: 4.0938 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9069 loss: 1.9069 2022/08/02 16:20:51 - mmengine - INFO - Epoch(train) [56][900/1879] lr: 2.0000e-02 eta: 1 day, 21:06:10 time: 0.9190 data_time: 0.0290 memory: 11089 grad_norm: 4.1860 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0252 loss: 2.0252 2022/08/02 16:21:09 - mmengine - INFO - Epoch(train) [56][920/1879] lr: 2.0000e-02 eta: 1 day, 21:05:51 time: 0.9016 data_time: 0.0327 memory: 11089 grad_norm: 4.0334 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0809 loss: 2.0809 2022/08/02 16:21:27 - mmengine - INFO - Epoch(train) [56][940/1879] lr: 2.0000e-02 eta: 1 day, 21:05:33 time: 0.9241 data_time: 0.0228 memory: 11089 grad_norm: 4.0523 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9850 loss: 1.9850 2022/08/02 16:21:46 - mmengine - INFO - Epoch(train) [56][960/1879] lr: 2.0000e-02 eta: 1 day, 21:05:15 time: 0.9323 data_time: 0.0338 memory: 11089 grad_norm: 4.1361 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7419 loss: 1.7419 2022/08/02 16:22:04 - mmengine - INFO - Epoch(train) [56][980/1879] lr: 2.0000e-02 eta: 1 day, 21:04:57 time: 0.9208 data_time: 0.0334 memory: 11089 grad_norm: 4.0365 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7284 loss: 1.7284 2022/08/02 16:22:23 - mmengine - INFO - Epoch(train) [56][1000/1879] lr: 2.0000e-02 eta: 1 day, 21:04:39 time: 0.9197 data_time: 0.0272 memory: 11089 grad_norm: 4.1115 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9772 loss: 1.9772 2022/08/02 16:22:41 - mmengine - INFO - Epoch(train) [56][1020/1879] lr: 2.0000e-02 eta: 1 day, 21:04:21 time: 0.9068 data_time: 0.0333 memory: 11089 grad_norm: 4.0482 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8518 loss: 1.8518 2022/08/02 16:22:59 - mmengine - INFO - Epoch(train) [56][1040/1879] lr: 2.0000e-02 eta: 1 day, 21:04:02 time: 0.9098 data_time: 0.0303 memory: 11089 grad_norm: 4.0364 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9338 loss: 1.9338 2022/08/02 16:23:17 - mmengine - INFO - Epoch(train) [56][1060/1879] lr: 2.0000e-02 eta: 1 day, 21:03:44 time: 0.9057 data_time: 0.0272 memory: 11089 grad_norm: 4.0184 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9031 loss: 1.9031 2022/08/02 16:23:35 - mmengine - INFO - Epoch(train) [56][1080/1879] lr: 2.0000e-02 eta: 1 day, 21:03:25 time: 0.9012 data_time: 0.0271 memory: 11089 grad_norm: 4.0621 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8296 loss: 1.8296 2022/08/02 16:23:54 - mmengine - INFO - Epoch(train) [56][1100/1879] lr: 2.0000e-02 eta: 1 day, 21:03:07 time: 0.9126 data_time: 0.0258 memory: 11089 grad_norm: 3.9805 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8598 loss: 1.8598 2022/08/02 16:24:12 - mmengine - INFO - Epoch(train) [56][1120/1879] lr: 2.0000e-02 eta: 1 day, 21:02:48 time: 0.9138 data_time: 0.0345 memory: 11089 grad_norm: 4.1527 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9631 loss: 1.9631 2022/08/02 16:24:30 - mmengine - INFO - Epoch(train) [56][1140/1879] lr: 2.0000e-02 eta: 1 day, 21:02:30 time: 0.9110 data_time: 0.0226 memory: 11089 grad_norm: 4.1453 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1741 loss: 2.1741 2022/08/02 16:24:48 - mmengine - INFO - Epoch(train) [56][1160/1879] lr: 2.0000e-02 eta: 1 day, 21:02:11 time: 0.9066 data_time: 0.0262 memory: 11089 grad_norm: 4.0771 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7654 loss: 1.7654 2022/08/02 16:25:07 - mmengine - INFO - Epoch(train) [56][1180/1879] lr: 2.0000e-02 eta: 1 day, 21:01:53 time: 0.9209 data_time: 0.0263 memory: 11089 grad_norm: 4.0439 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9183 loss: 1.9183 2022/08/02 16:25:25 - mmengine - INFO - Epoch(train) [56][1200/1879] lr: 2.0000e-02 eta: 1 day, 21:01:34 time: 0.8990 data_time: 0.0260 memory: 11089 grad_norm: 4.0797 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8278 loss: 1.8278 2022/08/02 16:25:43 - mmengine - INFO - Epoch(train) [56][1220/1879] lr: 2.0000e-02 eta: 1 day, 21:01:16 time: 0.9084 data_time: 0.0285 memory: 11089 grad_norm: 4.2055 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8873 loss: 1.8873 2022/08/02 16:26:01 - mmengine - INFO - Epoch(train) [56][1240/1879] lr: 2.0000e-02 eta: 1 day, 21:00:58 time: 0.9098 data_time: 0.0227 memory: 11089 grad_norm: 4.0416 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9488 loss: 1.9488 2022/08/02 16:26:19 - mmengine - INFO - Epoch(train) [56][1260/1879] lr: 2.0000e-02 eta: 1 day, 21:00:39 time: 0.9086 data_time: 0.0243 memory: 11089 grad_norm: 4.0519 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9127 loss: 1.9127 2022/08/02 16:26:37 - mmengine - INFO - Epoch(train) [56][1280/1879] lr: 2.0000e-02 eta: 1 day, 21:00:21 time: 0.9105 data_time: 0.0297 memory: 11089 grad_norm: 4.1418 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9591 loss: 1.9591 2022/08/02 16:26:56 - mmengine - INFO - Epoch(train) [56][1300/1879] lr: 2.0000e-02 eta: 1 day, 21:00:04 time: 0.9506 data_time: 0.0355 memory: 11089 grad_norm: 4.0061 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9580 loss: 1.9580 2022/08/02 16:27:15 - mmengine - INFO - Epoch(train) [56][1320/1879] lr: 2.0000e-02 eta: 1 day, 20:59:46 time: 0.9279 data_time: 0.0244 memory: 11089 grad_norm: 4.0802 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0529 loss: 2.0529 2022/08/02 16:27:33 - mmengine - INFO - Epoch(train) [56][1340/1879] lr: 2.0000e-02 eta: 1 day, 20:59:28 time: 0.9199 data_time: 0.0276 memory: 11089 grad_norm: 4.0539 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0133 loss: 2.0133 2022/08/02 16:27:52 - mmengine - INFO - Epoch(train) [56][1360/1879] lr: 2.0000e-02 eta: 1 day, 20:59:10 time: 0.9187 data_time: 0.0328 memory: 11089 grad_norm: 4.0569 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9962 loss: 1.9962 2022/08/02 16:28:10 - mmengine - INFO - Epoch(train) [56][1380/1879] lr: 2.0000e-02 eta: 1 day, 20:58:52 time: 0.9215 data_time: 0.0314 memory: 11089 grad_norm: 4.1114 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7840 loss: 1.7840 2022/08/02 16:28:29 - mmengine - INFO - Epoch(train) [56][1400/1879] lr: 2.0000e-02 eta: 1 day, 20:58:34 time: 0.9250 data_time: 0.0313 memory: 11089 grad_norm: 4.0875 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8665 loss: 1.8665 2022/08/02 16:28:47 - mmengine - INFO - Epoch(train) [56][1420/1879] lr: 2.0000e-02 eta: 1 day, 20:58:15 time: 0.9116 data_time: 0.0305 memory: 11089 grad_norm: 4.0616 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7636 loss: 1.7636 2022/08/02 16:29:06 - mmengine - INFO - Epoch(train) [56][1440/1879] lr: 2.0000e-02 eta: 1 day, 20:57:58 time: 0.9314 data_time: 0.0257 memory: 11089 grad_norm: 4.0262 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9535 loss: 1.9535 2022/08/02 16:29:24 - mmengine - INFO - Epoch(train) [56][1460/1879] lr: 2.0000e-02 eta: 1 day, 20:57:40 time: 0.9312 data_time: 0.0299 memory: 11089 grad_norm: 3.9782 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7880 loss: 1.7880 2022/08/02 16:29:43 - mmengine - INFO - Epoch(train) [56][1480/1879] lr: 2.0000e-02 eta: 1 day, 20:57:23 time: 0.9502 data_time: 0.0268 memory: 11089 grad_norm: 4.0607 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9199 loss: 1.9199 2022/08/02 16:30:02 - mmengine - INFO - Epoch(train) [56][1500/1879] lr: 2.0000e-02 eta: 1 day, 20:57:05 time: 0.9389 data_time: 0.0263 memory: 11089 grad_norm: 4.1345 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8713 loss: 1.8713 2022/08/02 16:30:20 - mmengine - INFO - Epoch(train) [56][1520/1879] lr: 2.0000e-02 eta: 1 day, 20:56:47 time: 0.9153 data_time: 0.0254 memory: 11089 grad_norm: 4.1176 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9974 loss: 1.9974 2022/08/02 16:30:39 - mmengine - INFO - Epoch(train) [56][1540/1879] lr: 2.0000e-02 eta: 1 day, 20:56:29 time: 0.9172 data_time: 0.0400 memory: 11089 grad_norm: 3.9840 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0413 loss: 2.0413 2022/08/02 16:30:57 - mmengine - INFO - Epoch(train) [56][1560/1879] lr: 2.0000e-02 eta: 1 day, 20:56:11 time: 0.9387 data_time: 0.0259 memory: 11089 grad_norm: 3.9990 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7164 loss: 1.7164 2022/08/02 16:31:16 - mmengine - INFO - Epoch(train) [56][1580/1879] lr: 2.0000e-02 eta: 1 day, 20:55:53 time: 0.9230 data_time: 0.0297 memory: 11089 grad_norm: 3.9702 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9873 loss: 1.9873 2022/08/02 16:31:34 - mmengine - INFO - Epoch(train) [56][1600/1879] lr: 2.0000e-02 eta: 1 day, 20:55:35 time: 0.9162 data_time: 0.0313 memory: 11089 grad_norm: 4.0548 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8322 loss: 1.8322 2022/08/02 16:31:53 - mmengine - INFO - Epoch(train) [56][1620/1879] lr: 2.0000e-02 eta: 1 day, 20:55:17 time: 0.9158 data_time: 0.0280 memory: 11089 grad_norm: 4.1052 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0671 loss: 2.0671 2022/08/02 16:32:11 - mmengine - INFO - Epoch(train) [56][1640/1879] lr: 2.0000e-02 eta: 1 day, 20:54:58 time: 0.9017 data_time: 0.0300 memory: 11089 grad_norm: 4.0899 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7873 loss: 1.7873 2022/08/02 16:32:24 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 16:32:29 - mmengine - INFO - Epoch(train) [56][1660/1879] lr: 2.0000e-02 eta: 1 day, 20:54:40 time: 0.9055 data_time: 0.0245 memory: 11089 grad_norm: 4.1478 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7944 loss: 1.7944 2022/08/02 16:32:47 - mmengine - INFO - Epoch(train) [56][1680/1879] lr: 2.0000e-02 eta: 1 day, 20:54:22 time: 0.9186 data_time: 0.0310 memory: 11089 grad_norm: 4.0894 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8463 loss: 1.8463 2022/08/02 16:33:05 - mmengine - INFO - Epoch(train) [56][1700/1879] lr: 2.0000e-02 eta: 1 day, 20:54:03 time: 0.9064 data_time: 0.0231 memory: 11089 grad_norm: 4.0261 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0880 loss: 2.0880 2022/08/02 16:33:23 - mmengine - INFO - Epoch(train) [56][1720/1879] lr: 2.0000e-02 eta: 1 day, 20:53:44 time: 0.8920 data_time: 0.0220 memory: 11089 grad_norm: 4.1421 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9521 loss: 1.9521 2022/08/02 16:33:41 - mmengine - INFO - Epoch(train) [56][1740/1879] lr: 2.0000e-02 eta: 1 day, 20:53:25 time: 0.9016 data_time: 0.0227 memory: 11089 grad_norm: 4.1725 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2448 loss: 2.2448 2022/08/02 16:33:59 - mmengine - INFO - Epoch(train) [56][1760/1879] lr: 2.0000e-02 eta: 1 day, 20:53:07 time: 0.9072 data_time: 0.0232 memory: 11089 grad_norm: 4.1168 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8110 loss: 1.8110 2022/08/02 16:34:17 - mmengine - INFO - Epoch(train) [56][1780/1879] lr: 2.0000e-02 eta: 1 day, 20:52:48 time: 0.8997 data_time: 0.0251 memory: 11089 grad_norm: 4.0642 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9853 loss: 1.9853 2022/08/02 16:34:35 - mmengine - INFO - Epoch(train) [56][1800/1879] lr: 2.0000e-02 eta: 1 day, 20:52:30 time: 0.9093 data_time: 0.0227 memory: 11089 grad_norm: 4.0967 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8727 loss: 1.8727 2022/08/02 16:34:54 - mmengine - INFO - Epoch(train) [56][1820/1879] lr: 2.0000e-02 eta: 1 day, 20:52:11 time: 0.9125 data_time: 0.0259 memory: 11089 grad_norm: 4.1314 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.3434 loss: 2.3434 2022/08/02 16:35:12 - mmengine - INFO - Epoch(train) [56][1840/1879] lr: 2.0000e-02 eta: 1 day, 20:51:53 time: 0.9078 data_time: 0.0227 memory: 11089 grad_norm: 4.1184 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8948 loss: 1.8948 2022/08/02 16:35:30 - mmengine - INFO - Epoch(train) [56][1860/1879] lr: 2.0000e-02 eta: 1 day, 20:51:35 time: 0.9223 data_time: 0.0312 memory: 11089 grad_norm: 4.1483 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8758 loss: 1.8758 2022/08/02 16:35:47 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 16:35:47 - mmengine - INFO - Epoch(train) [56][1879/1879] lr: 2.0000e-02 eta: 1 day, 20:51:35 time: 0.8911 data_time: 0.0258 memory: 11089 grad_norm: 4.0714 top1_acc: 0.0000 top5_acc: 0.5714 loss_cls: 1.8056 loss: 1.8056 2022/08/02 16:35:47 - mmengine - INFO - Saving checkpoint at 56 epochs 2022/08/02 16:36:11 - mmengine - INFO - Epoch(train) [57][20/1879] lr: 2.0000e-02 eta: 1 day, 20:50:32 time: 0.9899 data_time: 0.1025 memory: 11089 grad_norm: 3.8876 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7949 loss: 1.7949 2022/08/02 16:36:29 - mmengine - INFO - Epoch(train) [57][40/1879] lr: 2.0000e-02 eta: 1 day, 20:50:14 time: 0.9121 data_time: 0.0325 memory: 11089 grad_norm: 3.9706 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8370 loss: 1.8370 2022/08/02 16:36:47 - mmengine - INFO - Epoch(train) [57][60/1879] lr: 2.0000e-02 eta: 1 day, 20:49:56 time: 0.9152 data_time: 0.0245 memory: 11089 grad_norm: 4.1102 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9648 loss: 1.9648 2022/08/02 16:37:06 - mmengine - INFO - Epoch(train) [57][80/1879] lr: 2.0000e-02 eta: 1 day, 20:49:37 time: 0.9116 data_time: 0.0284 memory: 11089 grad_norm: 4.0335 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8000 loss: 1.8000 2022/08/02 16:37:24 - mmengine - INFO - Epoch(train) [57][100/1879] lr: 2.0000e-02 eta: 1 day, 20:49:19 time: 0.9189 data_time: 0.0269 memory: 11089 grad_norm: 3.9332 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7639 loss: 1.7639 2022/08/02 16:37:42 - mmengine - INFO - Epoch(train) [57][120/1879] lr: 2.0000e-02 eta: 1 day, 20:49:01 time: 0.9093 data_time: 0.0271 memory: 11089 grad_norm: 4.0382 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8925 loss: 1.8925 2022/08/02 16:38:01 - mmengine - INFO - Epoch(train) [57][140/1879] lr: 2.0000e-02 eta: 1 day, 20:48:43 time: 0.9326 data_time: 0.0267 memory: 11089 grad_norm: 4.1014 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8166 loss: 1.8166 2022/08/02 16:38:19 - mmengine - INFO - Epoch(train) [57][160/1879] lr: 2.0000e-02 eta: 1 day, 20:48:25 time: 0.9066 data_time: 0.0270 memory: 11089 grad_norm: 4.0448 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.8534 loss: 1.8534 2022/08/02 16:38:38 - mmengine - INFO - Epoch(train) [57][180/1879] lr: 2.0000e-02 eta: 1 day, 20:48:07 time: 0.9254 data_time: 0.0262 memory: 11089 grad_norm: 4.0665 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0391 loss: 2.0391 2022/08/02 16:38:56 - mmengine - INFO - Epoch(train) [57][200/1879] lr: 2.0000e-02 eta: 1 day, 20:47:48 time: 0.9037 data_time: 0.0338 memory: 11089 grad_norm: 4.0162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7996 loss: 1.7996 2022/08/02 16:39:14 - mmengine - INFO - Epoch(train) [57][220/1879] lr: 2.0000e-02 eta: 1 day, 20:47:30 time: 0.9204 data_time: 0.0253 memory: 11089 grad_norm: 4.1224 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8140 loss: 1.8140 2022/08/02 16:39:32 - mmengine - INFO - Epoch(train) [57][240/1879] lr: 2.0000e-02 eta: 1 day, 20:47:12 time: 0.9120 data_time: 0.0246 memory: 11089 grad_norm: 4.1491 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.9089 loss: 1.9089 2022/08/02 16:39:51 - mmengine - INFO - Epoch(train) [57][260/1879] lr: 2.0000e-02 eta: 1 day, 20:46:53 time: 0.9132 data_time: 0.0276 memory: 11089 grad_norm: 4.0755 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7173 loss: 1.7173 2022/08/02 16:40:09 - mmengine - INFO - Epoch(train) [57][280/1879] lr: 2.0000e-02 eta: 1 day, 20:46:36 time: 0.9313 data_time: 0.0246 memory: 11089 grad_norm: 4.1133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7506 loss: 1.7506 2022/08/02 16:40:28 - mmengine - INFO - Epoch(train) [57][300/1879] lr: 2.0000e-02 eta: 1 day, 20:46:18 time: 0.9330 data_time: 0.0293 memory: 11089 grad_norm: 4.0083 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9940 loss: 1.9940 2022/08/02 16:40:46 - mmengine - INFO - Epoch(train) [57][320/1879] lr: 2.0000e-02 eta: 1 day, 20:45:59 time: 0.9029 data_time: 0.0238 memory: 11089 grad_norm: 3.9533 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8160 loss: 1.8160 2022/08/02 16:41:04 - mmengine - INFO - Epoch(train) [57][340/1879] lr: 2.0000e-02 eta: 1 day, 20:45:41 time: 0.9153 data_time: 0.0266 memory: 11089 grad_norm: 4.0885 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7450 loss: 1.7450 2022/08/02 16:41:23 - mmengine - INFO - Epoch(train) [57][360/1879] lr: 2.0000e-02 eta: 1 day, 20:45:24 time: 0.9457 data_time: 0.0229 memory: 11089 grad_norm: 4.0748 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.1553 loss: 2.1553 2022/08/02 16:41:41 - mmengine - INFO - Epoch(train) [57][380/1879] lr: 2.0000e-02 eta: 1 day, 20:45:06 time: 0.9132 data_time: 0.0257 memory: 11089 grad_norm: 4.0244 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9204 loss: 1.9204 2022/08/02 16:42:00 - mmengine - INFO - Epoch(train) [57][400/1879] lr: 2.0000e-02 eta: 1 day, 20:44:47 time: 0.9060 data_time: 0.0288 memory: 11089 grad_norm: 4.1687 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9861 loss: 1.9861 2022/08/02 16:42:18 - mmengine - INFO - Epoch(train) [57][420/1879] lr: 2.0000e-02 eta: 1 day, 20:44:29 time: 0.9091 data_time: 0.0269 memory: 11089 grad_norm: 4.1022 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8950 loss: 1.8950 2022/08/02 16:42:36 - mmengine - INFO - Epoch(train) [57][440/1879] lr: 2.0000e-02 eta: 1 day, 20:44:10 time: 0.9116 data_time: 0.0228 memory: 11089 grad_norm: 4.1324 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0584 loss: 2.0584 2022/08/02 16:42:54 - mmengine - INFO - Epoch(train) [57][460/1879] lr: 2.0000e-02 eta: 1 day, 20:43:52 time: 0.9140 data_time: 0.0280 memory: 11089 grad_norm: 4.0579 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8341 loss: 1.8341 2022/08/02 16:43:13 - mmengine - INFO - Epoch(train) [57][480/1879] lr: 2.0000e-02 eta: 1 day, 20:43:34 time: 0.9203 data_time: 0.0261 memory: 11089 grad_norm: 4.0178 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8385 loss: 1.8385 2022/08/02 16:43:31 - mmengine - INFO - Epoch(train) [57][500/1879] lr: 2.0000e-02 eta: 1 day, 20:43:15 time: 0.9028 data_time: 0.0301 memory: 11089 grad_norm: 4.1426 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9051 loss: 1.9051 2022/08/02 16:43:49 - mmengine - INFO - Epoch(train) [57][520/1879] lr: 2.0000e-02 eta: 1 day, 20:42:57 time: 0.9107 data_time: 0.0261 memory: 11089 grad_norm: 4.0459 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6761 loss: 1.6761 2022/08/02 16:44:08 - mmengine - INFO - Epoch(train) [57][540/1879] lr: 2.0000e-02 eta: 1 day, 20:42:39 time: 0.9405 data_time: 0.0274 memory: 11089 grad_norm: 4.0635 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8292 loss: 1.8292 2022/08/02 16:44:26 - mmengine - INFO - Epoch(train) [57][560/1879] lr: 2.0000e-02 eta: 1 day, 20:42:22 time: 0.9246 data_time: 0.0278 memory: 11089 grad_norm: 4.0699 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7584 loss: 1.7584 2022/08/02 16:44:45 - mmengine - INFO - Epoch(train) [57][580/1879] lr: 2.0000e-02 eta: 1 day, 20:42:03 time: 0.9218 data_time: 0.0289 memory: 11089 grad_norm: 4.1480 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9647 loss: 1.9647 2022/08/02 16:45:03 - mmengine - INFO - Epoch(train) [57][600/1879] lr: 2.0000e-02 eta: 1 day, 20:41:45 time: 0.9211 data_time: 0.0246 memory: 11089 grad_norm: 4.1461 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9474 loss: 1.9474 2022/08/02 16:45:22 - mmengine - INFO - Epoch(train) [57][620/1879] lr: 2.0000e-02 eta: 1 day, 20:41:27 time: 0.9233 data_time: 0.0334 memory: 11089 grad_norm: 3.9901 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7707 loss: 1.7707 2022/08/02 16:45:40 - mmengine - INFO - Epoch(train) [57][640/1879] lr: 2.0000e-02 eta: 1 day, 20:41:09 time: 0.9180 data_time: 0.0268 memory: 11089 grad_norm: 4.0581 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0488 loss: 2.0488 2022/08/02 16:45:59 - mmengine - INFO - Epoch(train) [57][660/1879] lr: 2.0000e-02 eta: 1 day, 20:40:52 time: 0.9337 data_time: 0.0320 memory: 11089 grad_norm: 4.0291 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9397 loss: 1.9397 2022/08/02 16:46:17 - mmengine - INFO - Epoch(train) [57][680/1879] lr: 2.0000e-02 eta: 1 day, 20:40:33 time: 0.9142 data_time: 0.0263 memory: 11089 grad_norm: 4.0230 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8220 loss: 1.8220 2022/08/02 16:46:36 - mmengine - INFO - Epoch(train) [57][700/1879] lr: 2.0000e-02 eta: 1 day, 20:40:16 time: 0.9326 data_time: 0.0248 memory: 11089 grad_norm: 4.1081 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0487 loss: 2.0487 2022/08/02 16:46:54 - mmengine - INFO - Epoch(train) [57][720/1879] lr: 2.0000e-02 eta: 1 day, 20:39:58 time: 0.9162 data_time: 0.0279 memory: 11089 grad_norm: 4.1790 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9610 loss: 1.9610 2022/08/02 16:47:12 - mmengine - INFO - Epoch(train) [57][740/1879] lr: 2.0000e-02 eta: 1 day, 20:39:39 time: 0.9103 data_time: 0.0265 memory: 11089 grad_norm: 4.0565 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8966 loss: 1.8966 2022/08/02 16:47:30 - mmengine - INFO - Epoch(train) [57][760/1879] lr: 2.0000e-02 eta: 1 day, 20:39:21 time: 0.9083 data_time: 0.0255 memory: 11089 grad_norm: 4.1399 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9139 loss: 1.9139 2022/08/02 16:47:45 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 16:47:49 - mmengine - INFO - Epoch(train) [57][780/1879] lr: 2.0000e-02 eta: 1 day, 20:39:03 time: 0.9396 data_time: 0.0279 memory: 11089 grad_norm: 4.0660 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9844 loss: 1.9844 2022/08/02 16:48:08 - mmengine - INFO - Epoch(train) [57][800/1879] lr: 2.0000e-02 eta: 1 day, 20:38:45 time: 0.9311 data_time: 0.0254 memory: 11089 grad_norm: 4.0827 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0140 loss: 2.0140 2022/08/02 16:48:26 - mmengine - INFO - Epoch(train) [57][820/1879] lr: 2.0000e-02 eta: 1 day, 20:38:28 time: 0.9364 data_time: 0.0320 memory: 11089 grad_norm: 4.1287 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1637 loss: 2.1637 2022/08/02 16:48:45 - mmengine - INFO - Epoch(train) [57][840/1879] lr: 2.0000e-02 eta: 1 day, 20:38:10 time: 0.9205 data_time: 0.0315 memory: 11089 grad_norm: 4.2243 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9600 loss: 1.9600 2022/08/02 16:49:04 - mmengine - INFO - Epoch(train) [57][860/1879] lr: 2.0000e-02 eta: 1 day, 20:37:52 time: 0.9413 data_time: 0.0301 memory: 11089 grad_norm: 4.0978 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8825 loss: 1.8825 2022/08/02 16:49:22 - mmengine - INFO - Epoch(train) [57][880/1879] lr: 2.0000e-02 eta: 1 day, 20:37:34 time: 0.9219 data_time: 0.0309 memory: 11089 grad_norm: 4.1295 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9398 loss: 1.9398 2022/08/02 16:49:40 - mmengine - INFO - Epoch(train) [57][900/1879] lr: 2.0000e-02 eta: 1 day, 20:37:16 time: 0.9088 data_time: 0.0244 memory: 11089 grad_norm: 4.0666 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9703 loss: 1.9703 2022/08/02 16:49:58 - mmengine - INFO - Epoch(train) [57][920/1879] lr: 2.0000e-02 eta: 1 day, 20:36:58 time: 0.9103 data_time: 0.0235 memory: 11089 grad_norm: 4.1134 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3439 loss: 2.3439 2022/08/02 16:50:17 - mmengine - INFO - Epoch(train) [57][940/1879] lr: 2.0000e-02 eta: 1 day, 20:36:39 time: 0.9101 data_time: 0.0254 memory: 11089 grad_norm: 4.1633 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0151 loss: 2.0151 2022/08/02 16:50:35 - mmengine - INFO - Epoch(train) [57][960/1879] lr: 2.0000e-02 eta: 1 day, 20:36:21 time: 0.9060 data_time: 0.0263 memory: 11089 grad_norm: 4.0482 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1067 loss: 2.1067 2022/08/02 16:50:53 - mmengine - INFO - Epoch(train) [57][980/1879] lr: 2.0000e-02 eta: 1 day, 20:36:02 time: 0.9185 data_time: 0.0291 memory: 11089 grad_norm: 4.1217 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9760 loss: 1.9760 2022/08/02 16:51:11 - mmengine - INFO - Epoch(train) [57][1000/1879] lr: 2.0000e-02 eta: 1 day, 20:35:44 time: 0.9135 data_time: 0.0264 memory: 11089 grad_norm: 4.1090 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1643 loss: 2.1643 2022/08/02 16:51:29 - mmengine - INFO - Epoch(train) [57][1020/1879] lr: 2.0000e-02 eta: 1 day, 20:35:25 time: 0.8922 data_time: 0.0265 memory: 11089 grad_norm: 4.0888 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9490 loss: 1.9490 2022/08/02 16:51:48 - mmengine - INFO - Epoch(train) [57][1040/1879] lr: 2.0000e-02 eta: 1 day, 20:35:07 time: 0.9179 data_time: 0.0252 memory: 11089 grad_norm: 4.0914 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0133 loss: 2.0133 2022/08/02 16:52:06 - mmengine - INFO - Epoch(train) [57][1060/1879] lr: 2.0000e-02 eta: 1 day, 20:34:49 time: 0.9193 data_time: 0.0282 memory: 11089 grad_norm: 4.1090 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8848 loss: 1.8848 2022/08/02 16:52:24 - mmengine - INFO - Epoch(train) [57][1080/1879] lr: 2.0000e-02 eta: 1 day, 20:34:31 time: 0.9185 data_time: 0.0252 memory: 11089 grad_norm: 4.1825 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8879 loss: 1.8879 2022/08/02 16:52:43 - mmengine - INFO - Epoch(train) [57][1100/1879] lr: 2.0000e-02 eta: 1 day, 20:34:13 time: 0.9411 data_time: 0.0305 memory: 11089 grad_norm: 4.1077 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.1460 loss: 2.1460 2022/08/02 16:53:02 - mmengine - INFO - Epoch(train) [57][1120/1879] lr: 2.0000e-02 eta: 1 day, 20:33:55 time: 0.9111 data_time: 0.0275 memory: 11089 grad_norm: 4.1860 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9072 loss: 1.9072 2022/08/02 16:53:20 - mmengine - INFO - Epoch(train) [57][1140/1879] lr: 2.0000e-02 eta: 1 day, 20:33:37 time: 0.9223 data_time: 0.0284 memory: 11089 grad_norm: 4.2002 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8643 loss: 1.8643 2022/08/02 16:53:38 - mmengine - INFO - Epoch(train) [57][1160/1879] lr: 2.0000e-02 eta: 1 day, 20:33:19 time: 0.9204 data_time: 0.0299 memory: 11089 grad_norm: 4.0650 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0660 loss: 2.0660 2022/08/02 16:53:57 - mmengine - INFO - Epoch(train) [57][1180/1879] lr: 2.0000e-02 eta: 1 day, 20:33:01 time: 0.9230 data_time: 0.0304 memory: 11089 grad_norm: 4.0217 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9813 loss: 1.9813 2022/08/02 16:54:15 - mmengine - INFO - Epoch(train) [57][1200/1879] lr: 2.0000e-02 eta: 1 day, 20:32:43 time: 0.9204 data_time: 0.0283 memory: 11089 grad_norm: 4.0557 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8997 loss: 1.8997 2022/08/02 16:54:34 - mmengine - INFO - Epoch(train) [57][1220/1879] lr: 2.0000e-02 eta: 1 day, 20:32:25 time: 0.9207 data_time: 0.0224 memory: 11089 grad_norm: 4.0454 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8482 loss: 1.8482 2022/08/02 16:54:52 - mmengine - INFO - Epoch(train) [57][1240/1879] lr: 2.0000e-02 eta: 1 day, 20:32:06 time: 0.9095 data_time: 0.0266 memory: 11089 grad_norm: 4.1831 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0997 loss: 2.0997 2022/08/02 16:55:10 - mmengine - INFO - Epoch(train) [57][1260/1879] lr: 2.0000e-02 eta: 1 day, 20:31:48 time: 0.9118 data_time: 0.0248 memory: 11089 grad_norm: 4.0327 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9353 loss: 1.9353 2022/08/02 16:55:28 - mmengine - INFO - Epoch(train) [57][1280/1879] lr: 2.0000e-02 eta: 1 day, 20:31:30 time: 0.9214 data_time: 0.0266 memory: 11089 grad_norm: 4.2342 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1388 loss: 2.1388 2022/08/02 16:55:46 - mmengine - INFO - Epoch(train) [57][1300/1879] lr: 2.0000e-02 eta: 1 day, 20:31:11 time: 0.8957 data_time: 0.0300 memory: 11089 grad_norm: 3.9807 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7987 loss: 1.7987 2022/08/02 16:56:05 - mmengine - INFO - Epoch(train) [57][1320/1879] lr: 2.0000e-02 eta: 1 day, 20:30:54 time: 0.9435 data_time: 0.0375 memory: 11089 grad_norm: 3.9666 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8843 loss: 1.8843 2022/08/02 16:56:23 - mmengine - INFO - Epoch(train) [57][1340/1879] lr: 2.0000e-02 eta: 1 day, 20:30:35 time: 0.9053 data_time: 0.0263 memory: 11089 grad_norm: 4.1576 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1679 loss: 2.1679 2022/08/02 16:56:42 - mmengine - INFO - Epoch(train) [57][1360/1879] lr: 2.0000e-02 eta: 1 day, 20:30:17 time: 0.9149 data_time: 0.0261 memory: 11089 grad_norm: 4.1682 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0896 loss: 2.0896 2022/08/02 16:57:00 - mmengine - INFO - Epoch(train) [57][1380/1879] lr: 2.0000e-02 eta: 1 day, 20:29:58 time: 0.8999 data_time: 0.0253 memory: 11089 grad_norm: 4.1406 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9124 loss: 1.9124 2022/08/02 16:57:18 - mmengine - INFO - Epoch(train) [57][1400/1879] lr: 2.0000e-02 eta: 1 day, 20:29:40 time: 0.9233 data_time: 0.0295 memory: 11089 grad_norm: 4.0498 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8203 loss: 1.8203 2022/08/02 16:57:37 - mmengine - INFO - Epoch(train) [57][1420/1879] lr: 2.0000e-02 eta: 1 day, 20:29:22 time: 0.9210 data_time: 0.0296 memory: 11089 grad_norm: 4.1414 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0450 loss: 2.0450 2022/08/02 16:57:55 - mmengine - INFO - Epoch(train) [57][1440/1879] lr: 2.0000e-02 eta: 1 day, 20:29:04 time: 0.9172 data_time: 0.0235 memory: 11089 grad_norm: 4.1034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6927 loss: 1.6927 2022/08/02 16:58:13 - mmengine - INFO - Epoch(train) [57][1460/1879] lr: 2.0000e-02 eta: 1 day, 20:28:45 time: 0.9042 data_time: 0.0299 memory: 11089 grad_norm: 3.9142 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.8566 loss: 1.8566 2022/08/02 16:58:31 - mmengine - INFO - Epoch(train) [57][1480/1879] lr: 2.0000e-02 eta: 1 day, 20:28:27 time: 0.9212 data_time: 0.0240 memory: 11089 grad_norm: 4.1095 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9256 loss: 1.9256 2022/08/02 16:58:50 - mmengine - INFO - Epoch(train) [57][1500/1879] lr: 2.0000e-02 eta: 1 day, 20:28:10 time: 0.9377 data_time: 0.0259 memory: 11089 grad_norm: 4.0519 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8938 loss: 1.8938 2022/08/02 16:59:08 - mmengine - INFO - Epoch(train) [57][1520/1879] lr: 2.0000e-02 eta: 1 day, 20:27:51 time: 0.9084 data_time: 0.0299 memory: 11089 grad_norm: 4.1077 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1284 loss: 2.1284 2022/08/02 16:59:27 - mmengine - INFO - Epoch(train) [57][1540/1879] lr: 2.0000e-02 eta: 1 day, 20:27:34 time: 0.9398 data_time: 0.0263 memory: 11089 grad_norm: 4.0298 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7849 loss: 1.7849 2022/08/02 16:59:45 - mmengine - INFO - Epoch(train) [57][1560/1879] lr: 2.0000e-02 eta: 1 day, 20:27:15 time: 0.9087 data_time: 0.0263 memory: 11089 grad_norm: 4.0395 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9201 loss: 1.9201 2022/08/02 17:00:03 - mmengine - INFO - Epoch(train) [57][1580/1879] lr: 2.0000e-02 eta: 1 day, 20:26:57 time: 0.9058 data_time: 0.0246 memory: 11089 grad_norm: 4.1008 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8238 loss: 1.8238 2022/08/02 17:00:22 - mmengine - INFO - Epoch(train) [57][1600/1879] lr: 2.0000e-02 eta: 1 day, 20:26:39 time: 0.9168 data_time: 0.0297 memory: 11089 grad_norm: 4.0933 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7858 loss: 1.7858 2022/08/02 17:00:40 - mmengine - INFO - Epoch(train) [57][1620/1879] lr: 2.0000e-02 eta: 1 day, 20:26:20 time: 0.9102 data_time: 0.0288 memory: 11089 grad_norm: 4.0888 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8158 loss: 1.8158 2022/08/02 17:00:58 - mmengine - INFO - Epoch(train) [57][1640/1879] lr: 2.0000e-02 eta: 1 day, 20:26:02 time: 0.9085 data_time: 0.0304 memory: 11089 grad_norm: 4.0672 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8021 loss: 1.8021 2022/08/02 17:01:16 - mmengine - INFO - Epoch(train) [57][1660/1879] lr: 2.0000e-02 eta: 1 day, 20:25:43 time: 0.8960 data_time: 0.0242 memory: 11089 grad_norm: 4.0075 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1379 loss: 2.1379 2022/08/02 17:01:34 - mmengine - INFO - Epoch(train) [57][1680/1879] lr: 2.0000e-02 eta: 1 day, 20:25:24 time: 0.9084 data_time: 0.0230 memory: 11089 grad_norm: 4.0175 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8283 loss: 1.8283 2022/08/02 17:01:52 - mmengine - INFO - Epoch(train) [57][1700/1879] lr: 2.0000e-02 eta: 1 day, 20:25:06 time: 0.9079 data_time: 0.0261 memory: 11089 grad_norm: 4.0637 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9832 loss: 1.9832 2022/08/02 17:02:11 - mmengine - INFO - Epoch(train) [57][1720/1879] lr: 2.0000e-02 eta: 1 day, 20:24:48 time: 0.9170 data_time: 0.0308 memory: 11089 grad_norm: 3.9476 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0880 loss: 2.0880 2022/08/02 17:02:29 - mmengine - INFO - Epoch(train) [57][1740/1879] lr: 2.0000e-02 eta: 1 day, 20:24:29 time: 0.9094 data_time: 0.0227 memory: 11089 grad_norm: 4.0435 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9964 loss: 1.9964 2022/08/02 17:02:47 - mmengine - INFO - Epoch(train) [57][1760/1879] lr: 2.0000e-02 eta: 1 day, 20:24:11 time: 0.9178 data_time: 0.0313 memory: 11089 grad_norm: 3.9992 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7918 loss: 1.7918 2022/08/02 17:03:02 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 17:03:06 - mmengine - INFO - Epoch(train) [57][1780/1879] lr: 2.0000e-02 eta: 1 day, 20:23:53 time: 0.9232 data_time: 0.0244 memory: 11089 grad_norm: 4.0381 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8804 loss: 1.8804 2022/08/02 17:03:24 - mmengine - INFO - Epoch(train) [57][1800/1879] lr: 2.0000e-02 eta: 1 day, 20:23:35 time: 0.9262 data_time: 0.0351 memory: 11089 grad_norm: 4.0942 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0159 loss: 2.0159 2022/08/02 17:03:43 - mmengine - INFO - Epoch(train) [57][1820/1879] lr: 2.0000e-02 eta: 1 day, 20:23:17 time: 0.9162 data_time: 0.0240 memory: 11089 grad_norm: 4.0630 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8939 loss: 1.8939 2022/08/02 17:04:01 - mmengine - INFO - Epoch(train) [57][1840/1879] lr: 2.0000e-02 eta: 1 day, 20:22:59 time: 0.9154 data_time: 0.0345 memory: 11089 grad_norm: 4.0378 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8764 loss: 1.8764 2022/08/02 17:04:19 - mmengine - INFO - Epoch(train) [57][1860/1879] lr: 2.0000e-02 eta: 1 day, 20:22:41 time: 0.9241 data_time: 0.0278 memory: 11089 grad_norm: 4.1637 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9329 loss: 1.9329 2022/08/02 17:04:36 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 17:04:36 - mmengine - INFO - Epoch(train) [57][1879/1879] lr: 2.0000e-02 eta: 1 day, 20:22:41 time: 0.8696 data_time: 0.0215 memory: 11089 grad_norm: 4.1344 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.8682 loss: 1.8682 2022/08/02 17:04:56 - mmengine - INFO - Epoch(train) [58][20/1879] lr: 2.0000e-02 eta: 1 day, 20:21:39 time: 0.9911 data_time: 0.1256 memory: 11089 grad_norm: 3.9697 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9967 loss: 1.9967 2022/08/02 17:05:14 - mmengine - INFO - Epoch(train) [58][40/1879] lr: 2.0000e-02 eta: 1 day, 20:21:21 time: 0.9201 data_time: 0.0291 memory: 11089 grad_norm: 4.1367 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9267 loss: 1.9267 2022/08/02 17:05:33 - mmengine - INFO - Epoch(train) [58][60/1879] lr: 2.0000e-02 eta: 1 day, 20:21:03 time: 0.9240 data_time: 0.0283 memory: 11089 grad_norm: 3.9616 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7757 loss: 1.7757 2022/08/02 17:05:51 - mmengine - INFO - Epoch(train) [58][80/1879] lr: 2.0000e-02 eta: 1 day, 20:20:45 time: 0.9118 data_time: 0.0267 memory: 11089 grad_norm: 3.9712 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9441 loss: 1.9441 2022/08/02 17:06:09 - mmengine - INFO - Epoch(train) [58][100/1879] lr: 2.0000e-02 eta: 1 day, 20:20:27 time: 0.9187 data_time: 0.0308 memory: 11089 grad_norm: 4.1444 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0739 loss: 2.0739 2022/08/02 17:06:28 - mmengine - INFO - Epoch(train) [58][120/1879] lr: 2.0000e-02 eta: 1 day, 20:20:09 time: 0.9181 data_time: 0.0291 memory: 11089 grad_norm: 4.0070 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7819 loss: 1.7819 2022/08/02 17:06:46 - mmengine - INFO - Epoch(train) [58][140/1879] lr: 2.0000e-02 eta: 1 day, 20:19:51 time: 0.9220 data_time: 0.0256 memory: 11089 grad_norm: 4.0784 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8206 loss: 1.8206 2022/08/02 17:07:05 - mmengine - INFO - Epoch(train) [58][160/1879] lr: 2.0000e-02 eta: 1 day, 20:19:33 time: 0.9209 data_time: 0.0289 memory: 11089 grad_norm: 4.1439 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7427 loss: 1.7427 2022/08/02 17:07:23 - mmengine - INFO - Epoch(train) [58][180/1879] lr: 2.0000e-02 eta: 1 day, 20:19:15 time: 0.9293 data_time: 0.0363 memory: 11089 grad_norm: 4.1682 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9867 loss: 1.9867 2022/08/02 17:07:41 - mmengine - INFO - Epoch(train) [58][200/1879] lr: 2.0000e-02 eta: 1 day, 20:18:56 time: 0.9014 data_time: 0.0244 memory: 11089 grad_norm: 4.1904 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9386 loss: 1.9386 2022/08/02 17:07:59 - mmengine - INFO - Epoch(train) [58][220/1879] lr: 2.0000e-02 eta: 1 day, 20:18:37 time: 0.9017 data_time: 0.0251 memory: 11089 grad_norm: 4.2116 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8552 loss: 1.8552 2022/08/02 17:08:18 - mmengine - INFO - Epoch(train) [58][240/1879] lr: 2.0000e-02 eta: 1 day, 20:18:19 time: 0.9229 data_time: 0.0310 memory: 11089 grad_norm: 4.2605 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.8865 loss: 1.8865 2022/08/02 17:08:36 - mmengine - INFO - Epoch(train) [58][260/1879] lr: 2.0000e-02 eta: 1 day, 20:18:01 time: 0.9089 data_time: 0.0247 memory: 11089 grad_norm: 4.0820 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0776 loss: 2.0776 2022/08/02 17:08:54 - mmengine - INFO - Epoch(train) [58][280/1879] lr: 2.0000e-02 eta: 1 day, 20:17:43 time: 0.9282 data_time: 0.0305 memory: 11089 grad_norm: 4.0658 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0796 loss: 2.0796 2022/08/02 17:09:13 - mmengine - INFO - Epoch(train) [58][300/1879] lr: 2.0000e-02 eta: 1 day, 20:17:25 time: 0.9029 data_time: 0.0262 memory: 11089 grad_norm: 4.1287 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8301 loss: 1.8301 2022/08/02 17:09:31 - mmengine - INFO - Epoch(train) [58][320/1879] lr: 2.0000e-02 eta: 1 day, 20:17:06 time: 0.9054 data_time: 0.0251 memory: 11089 grad_norm: 4.1214 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9123 loss: 1.9123 2022/08/02 17:09:49 - mmengine - INFO - Epoch(train) [58][340/1879] lr: 2.0000e-02 eta: 1 day, 20:16:47 time: 0.9051 data_time: 0.0252 memory: 11089 grad_norm: 4.0478 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8921 loss: 1.8921 2022/08/02 17:10:07 - mmengine - INFO - Epoch(train) [58][360/1879] lr: 2.0000e-02 eta: 1 day, 20:16:29 time: 0.9146 data_time: 0.0306 memory: 11089 grad_norm: 3.9441 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8222 loss: 1.8222 2022/08/02 17:10:25 - mmengine - INFO - Epoch(train) [58][380/1879] lr: 2.0000e-02 eta: 1 day, 20:16:11 time: 0.9099 data_time: 0.0264 memory: 11089 grad_norm: 4.1773 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1712 loss: 2.1712 2022/08/02 17:10:43 - mmengine - INFO - Epoch(train) [58][400/1879] lr: 2.0000e-02 eta: 1 day, 20:15:52 time: 0.8923 data_time: 0.0203 memory: 11089 grad_norm: 4.0249 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.0162 loss: 2.0162 2022/08/02 17:11:01 - mmengine - INFO - Epoch(train) [58][420/1879] lr: 2.0000e-02 eta: 1 day, 20:15:33 time: 0.8982 data_time: 0.0265 memory: 11089 grad_norm: 4.0646 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.0219 loss: 2.0219 2022/08/02 17:11:19 - mmengine - INFO - Epoch(train) [58][440/1879] lr: 2.0000e-02 eta: 1 day, 20:15:15 time: 0.9211 data_time: 0.0287 memory: 11089 grad_norm: 3.9724 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7871 loss: 1.7871 2022/08/02 17:11:38 - mmengine - INFO - Epoch(train) [58][460/1879] lr: 2.0000e-02 eta: 1 day, 20:14:57 time: 0.9343 data_time: 0.0365 memory: 11089 grad_norm: 4.0866 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0832 loss: 2.0832 2022/08/02 17:11:56 - mmengine - INFO - Epoch(train) [58][480/1879] lr: 2.0000e-02 eta: 1 day, 20:14:39 time: 0.9036 data_time: 0.0229 memory: 11089 grad_norm: 4.1383 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9184 loss: 1.9184 2022/08/02 17:12:15 - mmengine - INFO - Epoch(train) [58][500/1879] lr: 2.0000e-02 eta: 1 day, 20:14:21 time: 0.9283 data_time: 0.0257 memory: 11089 grad_norm: 4.0638 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9092 loss: 1.9092 2022/08/02 17:12:33 - mmengine - INFO - Epoch(train) [58][520/1879] lr: 2.0000e-02 eta: 1 day, 20:14:02 time: 0.8919 data_time: 0.0268 memory: 11089 grad_norm: 4.0667 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8714 loss: 1.8714 2022/08/02 17:12:51 - mmengine - INFO - Epoch(train) [58][540/1879] lr: 2.0000e-02 eta: 1 day, 20:13:43 time: 0.9086 data_time: 0.0235 memory: 11089 grad_norm: 4.0728 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9590 loss: 1.9590 2022/08/02 17:13:09 - mmengine - INFO - Epoch(train) [58][560/1879] lr: 2.0000e-02 eta: 1 day, 20:13:25 time: 0.9099 data_time: 0.0237 memory: 11089 grad_norm: 4.0566 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7156 loss: 1.7156 2022/08/02 17:13:28 - mmengine - INFO - Epoch(train) [58][580/1879] lr: 2.0000e-02 eta: 1 day, 20:13:07 time: 0.9296 data_time: 0.0256 memory: 11089 grad_norm: 4.0055 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8516 loss: 1.8516 2022/08/02 17:13:46 - mmengine - INFO - Epoch(train) [58][600/1879] lr: 2.0000e-02 eta: 1 day, 20:12:49 time: 0.9094 data_time: 0.0282 memory: 11089 grad_norm: 4.2208 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8523 loss: 1.8523 2022/08/02 17:14:04 - mmengine - INFO - Epoch(train) [58][620/1879] lr: 2.0000e-02 eta: 1 day, 20:12:30 time: 0.9104 data_time: 0.0231 memory: 11089 grad_norm: 4.0964 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0780 loss: 2.0780 2022/08/02 17:14:22 - mmengine - INFO - Epoch(train) [58][640/1879] lr: 2.0000e-02 eta: 1 day, 20:12:12 time: 0.8996 data_time: 0.0217 memory: 11089 grad_norm: 4.1223 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8089 loss: 1.8089 2022/08/02 17:14:40 - mmengine - INFO - Epoch(train) [58][660/1879] lr: 2.0000e-02 eta: 1 day, 20:11:53 time: 0.9145 data_time: 0.0306 memory: 11089 grad_norm: 4.0938 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9389 loss: 1.9389 2022/08/02 17:14:59 - mmengine - INFO - Epoch(train) [58][680/1879] lr: 2.0000e-02 eta: 1 day, 20:11:35 time: 0.9104 data_time: 0.0273 memory: 11089 grad_norm: 4.0485 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.6904 loss: 1.6904 2022/08/02 17:15:17 - mmengine - INFO - Epoch(train) [58][700/1879] lr: 2.0000e-02 eta: 1 day, 20:11:17 time: 0.9341 data_time: 0.0258 memory: 11089 grad_norm: 3.9988 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9673 loss: 1.9673 2022/08/02 17:15:36 - mmengine - INFO - Epoch(train) [58][720/1879] lr: 2.0000e-02 eta: 1 day, 20:11:00 time: 0.9331 data_time: 0.0261 memory: 11089 grad_norm: 3.9742 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8372 loss: 1.8372 2022/08/02 17:15:54 - mmengine - INFO - Epoch(train) [58][740/1879] lr: 2.0000e-02 eta: 1 day, 20:10:41 time: 0.8981 data_time: 0.0242 memory: 11089 grad_norm: 4.0212 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9360 loss: 1.9360 2022/08/02 17:16:12 - mmengine - INFO - Epoch(train) [58][760/1879] lr: 2.0000e-02 eta: 1 day, 20:10:22 time: 0.9072 data_time: 0.0316 memory: 11089 grad_norm: 4.0887 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9925 loss: 1.9925 2022/08/02 17:16:30 - mmengine - INFO - Epoch(train) [58][780/1879] lr: 2.0000e-02 eta: 1 day, 20:10:04 time: 0.9189 data_time: 0.0272 memory: 11089 grad_norm: 4.1162 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8264 loss: 1.8264 2022/08/02 17:16:49 - mmengine - INFO - Epoch(train) [58][800/1879] lr: 2.0000e-02 eta: 1 day, 20:09:46 time: 0.9172 data_time: 0.0235 memory: 11089 grad_norm: 4.1800 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1019 loss: 2.1019 2022/08/02 17:17:07 - mmengine - INFO - Epoch(train) [58][820/1879] lr: 2.0000e-02 eta: 1 day, 20:09:28 time: 0.9141 data_time: 0.0299 memory: 11089 grad_norm: 4.0607 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9397 loss: 1.9397 2022/08/02 17:17:25 - mmengine - INFO - Epoch(train) [58][840/1879] lr: 2.0000e-02 eta: 1 day, 20:09:09 time: 0.9085 data_time: 0.0254 memory: 11089 grad_norm: 4.2332 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0192 loss: 2.0192 2022/08/02 17:17:43 - mmengine - INFO - Epoch(train) [58][860/1879] lr: 2.0000e-02 eta: 1 day, 20:08:50 time: 0.8920 data_time: 0.0258 memory: 11089 grad_norm: 4.0890 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6999 loss: 1.6999 2022/08/02 17:18:01 - mmengine - INFO - Epoch(train) [58][880/1879] lr: 2.0000e-02 eta: 1 day, 20:08:32 time: 0.9208 data_time: 0.0251 memory: 11089 grad_norm: 4.1824 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0324 loss: 2.0324 2022/08/02 17:18:17 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 17:18:20 - mmengine - INFO - Epoch(train) [58][900/1879] lr: 2.0000e-02 eta: 1 day, 20:08:15 time: 0.9338 data_time: 0.0270 memory: 11089 grad_norm: 3.9087 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8187 loss: 1.8187 2022/08/02 17:18:38 - mmengine - INFO - Epoch(train) [58][920/1879] lr: 2.0000e-02 eta: 1 day, 20:07:56 time: 0.9151 data_time: 0.0314 memory: 11089 grad_norm: 4.0263 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0112 loss: 2.0112 2022/08/02 17:18:57 - mmengine - INFO - Epoch(train) [58][940/1879] lr: 2.0000e-02 eta: 1 day, 20:07:38 time: 0.9158 data_time: 0.0272 memory: 11089 grad_norm: 4.0575 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9242 loss: 1.9242 2022/08/02 17:19:15 - mmengine - INFO - Epoch(train) [58][960/1879] lr: 2.0000e-02 eta: 1 day, 20:07:20 time: 0.9137 data_time: 0.0339 memory: 11089 grad_norm: 4.1032 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7783 loss: 1.7783 2022/08/02 17:19:33 - mmengine - INFO - Epoch(train) [58][980/1879] lr: 2.0000e-02 eta: 1 day, 20:07:02 time: 0.9183 data_time: 0.0347 memory: 11089 grad_norm: 4.0884 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9706 loss: 1.9706 2022/08/02 17:19:52 - mmengine - INFO - Epoch(train) [58][1000/1879] lr: 2.0000e-02 eta: 1 day, 20:06:44 time: 0.9304 data_time: 0.0274 memory: 11089 grad_norm: 4.0113 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0477 loss: 2.0477 2022/08/02 17:20:10 - mmengine - INFO - Epoch(train) [58][1020/1879] lr: 2.0000e-02 eta: 1 day, 20:06:25 time: 0.9025 data_time: 0.0216 memory: 11089 grad_norm: 4.0036 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8471 loss: 1.8471 2022/08/02 17:20:28 - mmengine - INFO - Epoch(train) [58][1040/1879] lr: 2.0000e-02 eta: 1 day, 20:06:07 time: 0.9071 data_time: 0.0291 memory: 11089 grad_norm: 4.0312 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2676 loss: 2.2676 2022/08/02 17:20:46 - mmengine - INFO - Epoch(train) [58][1060/1879] lr: 2.0000e-02 eta: 1 day, 20:05:49 time: 0.9115 data_time: 0.0274 memory: 11089 grad_norm: 4.1112 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1338 loss: 2.1338 2022/08/02 17:21:05 - mmengine - INFO - Epoch(train) [58][1080/1879] lr: 2.0000e-02 eta: 1 day, 20:05:30 time: 0.9131 data_time: 0.0209 memory: 11089 grad_norm: 4.0408 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9689 loss: 1.9689 2022/08/02 17:21:23 - mmengine - INFO - Epoch(train) [58][1100/1879] lr: 2.0000e-02 eta: 1 day, 20:05:12 time: 0.9091 data_time: 0.0286 memory: 11089 grad_norm: 3.9416 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7897 loss: 1.7897 2022/08/02 17:21:41 - mmengine - INFO - Epoch(train) [58][1120/1879] lr: 2.0000e-02 eta: 1 day, 20:04:53 time: 0.9087 data_time: 0.0299 memory: 11089 grad_norm: 4.0129 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0116 loss: 2.0116 2022/08/02 17:21:59 - mmengine - INFO - Epoch(train) [58][1140/1879] lr: 2.0000e-02 eta: 1 day, 20:04:35 time: 0.9088 data_time: 0.0255 memory: 11089 grad_norm: 4.1253 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 1.8535 loss: 1.8535 2022/08/02 17:22:18 - mmengine - INFO - Epoch(train) [58][1160/1879] lr: 2.0000e-02 eta: 1 day, 20:04:17 time: 0.9225 data_time: 0.0287 memory: 11089 grad_norm: 4.0512 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.0012 loss: 2.0012 2022/08/02 17:22:36 - mmengine - INFO - Epoch(train) [58][1180/1879] lr: 2.0000e-02 eta: 1 day, 20:03:58 time: 0.8993 data_time: 0.0244 memory: 11089 grad_norm: 4.1248 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8644 loss: 1.8644 2022/08/02 17:22:54 - mmengine - INFO - Epoch(train) [58][1200/1879] lr: 2.0000e-02 eta: 1 day, 20:03:39 time: 0.8975 data_time: 0.0247 memory: 11089 grad_norm: 4.0395 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9090 loss: 1.9090 2022/08/02 17:23:12 - mmengine - INFO - Epoch(train) [58][1220/1879] lr: 2.0000e-02 eta: 1 day, 20:03:21 time: 0.9100 data_time: 0.0231 memory: 11089 grad_norm: 4.0480 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7569 loss: 1.7569 2022/08/02 17:23:30 - mmengine - INFO - Epoch(train) [58][1240/1879] lr: 2.0000e-02 eta: 1 day, 20:03:03 time: 0.9160 data_time: 0.0240 memory: 11089 grad_norm: 3.9560 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8618 loss: 1.8618 2022/08/02 17:23:49 - mmengine - INFO - Epoch(train) [58][1260/1879] lr: 2.0000e-02 eta: 1 day, 20:02:45 time: 0.9273 data_time: 0.0311 memory: 11089 grad_norm: 4.1359 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9474 loss: 1.9474 2022/08/02 17:24:07 - mmengine - INFO - Epoch(train) [58][1280/1879] lr: 2.0000e-02 eta: 1 day, 20:02:26 time: 0.9063 data_time: 0.0253 memory: 11089 grad_norm: 4.1297 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0058 loss: 2.0058 2022/08/02 17:24:25 - mmengine - INFO - Epoch(train) [58][1300/1879] lr: 2.0000e-02 eta: 1 day, 20:02:08 time: 0.9203 data_time: 0.0294 memory: 11089 grad_norm: 4.1085 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9972 loss: 1.9972 2022/08/02 17:24:44 - mmengine - INFO - Epoch(train) [58][1320/1879] lr: 2.0000e-02 eta: 1 day, 20:01:50 time: 0.9176 data_time: 0.0263 memory: 11089 grad_norm: 4.0104 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0623 loss: 2.0623 2022/08/02 17:25:02 - mmengine - INFO - Epoch(train) [58][1340/1879] lr: 2.0000e-02 eta: 1 day, 20:01:32 time: 0.9142 data_time: 0.0234 memory: 11089 grad_norm: 4.0309 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8127 loss: 1.8127 2022/08/02 17:25:20 - mmengine - INFO - Epoch(train) [58][1360/1879] lr: 2.0000e-02 eta: 1 day, 20:01:14 time: 0.9181 data_time: 0.0283 memory: 11089 grad_norm: 3.9578 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9092 loss: 1.9092 2022/08/02 17:25:39 - mmengine - INFO - Epoch(train) [58][1380/1879] lr: 2.0000e-02 eta: 1 day, 20:00:56 time: 0.9321 data_time: 0.0280 memory: 11089 grad_norm: 3.9529 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9318 loss: 1.9318 2022/08/02 17:25:57 - mmengine - INFO - Epoch(train) [58][1400/1879] lr: 2.0000e-02 eta: 1 day, 20:00:37 time: 0.8915 data_time: 0.0197 memory: 11089 grad_norm: 4.0822 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0106 loss: 2.0106 2022/08/02 17:26:15 - mmengine - INFO - Epoch(train) [58][1420/1879] lr: 2.0000e-02 eta: 1 day, 20:00:18 time: 0.9022 data_time: 0.0203 memory: 11089 grad_norm: 4.0108 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.0042 loss: 2.0042 2022/08/02 17:26:33 - mmengine - INFO - Epoch(train) [58][1440/1879] lr: 2.0000e-02 eta: 1 day, 19:59:59 time: 0.8966 data_time: 0.0212 memory: 11089 grad_norm: 4.0286 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6572 loss: 1.6572 2022/08/02 17:26:51 - mmengine - INFO - Epoch(train) [58][1460/1879] lr: 2.0000e-02 eta: 1 day, 19:59:41 time: 0.9137 data_time: 0.0287 memory: 11089 grad_norm: 4.0263 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0079 loss: 2.0079 2022/08/02 17:27:10 - mmengine - INFO - Epoch(train) [58][1480/1879] lr: 2.0000e-02 eta: 1 day, 19:59:23 time: 0.9274 data_time: 0.0284 memory: 11089 grad_norm: 4.1459 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9572 loss: 1.9572 2022/08/02 17:27:28 - mmengine - INFO - Epoch(train) [58][1500/1879] lr: 2.0000e-02 eta: 1 day, 19:59:05 time: 0.9012 data_time: 0.0230 memory: 11089 grad_norm: 4.0649 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 1.9321 loss: 1.9321 2022/08/02 17:27:46 - mmengine - INFO - Epoch(train) [58][1520/1879] lr: 2.0000e-02 eta: 1 day, 19:58:46 time: 0.9163 data_time: 0.0289 memory: 11089 grad_norm: 4.2707 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0248 loss: 2.0248 2022/08/02 17:28:04 - mmengine - INFO - Epoch(train) [58][1540/1879] lr: 2.0000e-02 eta: 1 day, 19:58:28 time: 0.9041 data_time: 0.0266 memory: 11089 grad_norm: 4.1468 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9767 loss: 1.9767 2022/08/02 17:28:22 - mmengine - INFO - Epoch(train) [58][1560/1879] lr: 2.0000e-02 eta: 1 day, 19:58:10 time: 0.9179 data_time: 0.0262 memory: 11089 grad_norm: 4.0980 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8461 loss: 1.8461 2022/08/02 17:28:41 - mmengine - INFO - Epoch(train) [58][1580/1879] lr: 2.0000e-02 eta: 1 day, 19:57:52 time: 0.9284 data_time: 0.0285 memory: 11089 grad_norm: 4.1669 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1261 loss: 2.1261 2022/08/02 17:28:59 - mmengine - INFO - Epoch(train) [58][1600/1879] lr: 2.0000e-02 eta: 1 day, 19:57:34 time: 0.9213 data_time: 0.0314 memory: 11089 grad_norm: 4.0555 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0570 loss: 2.0570 2022/08/02 17:29:18 - mmengine - INFO - Epoch(train) [58][1620/1879] lr: 2.0000e-02 eta: 1 day, 19:57:16 time: 0.9195 data_time: 0.0253 memory: 11089 grad_norm: 4.1364 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1816 loss: 2.1816 2022/08/02 17:29:36 - mmengine - INFO - Epoch(train) [58][1640/1879] lr: 2.0000e-02 eta: 1 day, 19:56:58 time: 0.9164 data_time: 0.0231 memory: 11089 grad_norm: 4.0531 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8247 loss: 1.8247 2022/08/02 17:29:54 - mmengine - INFO - Epoch(train) [58][1660/1879] lr: 2.0000e-02 eta: 1 day, 19:56:39 time: 0.8908 data_time: 0.0235 memory: 11089 grad_norm: 4.0193 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7997 loss: 1.7997 2022/08/02 17:30:12 - mmengine - INFO - Epoch(train) [58][1680/1879] lr: 2.0000e-02 eta: 1 day, 19:56:20 time: 0.9205 data_time: 0.0262 memory: 11089 grad_norm: 4.0917 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0230 loss: 2.0230 2022/08/02 17:30:31 - mmengine - INFO - Epoch(train) [58][1700/1879] lr: 2.0000e-02 eta: 1 day, 19:56:02 time: 0.9162 data_time: 0.0357 memory: 11089 grad_norm: 4.2615 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1678 loss: 2.1678 2022/08/02 17:30:49 - mmengine - INFO - Epoch(train) [58][1720/1879] lr: 2.0000e-02 eta: 1 day, 19:55:44 time: 0.9078 data_time: 0.0265 memory: 11089 grad_norm: 4.0862 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8473 loss: 1.8473 2022/08/02 17:31:07 - mmengine - INFO - Epoch(train) [58][1740/1879] lr: 2.0000e-02 eta: 1 day, 19:55:26 time: 0.9160 data_time: 0.0264 memory: 11089 grad_norm: 4.0407 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0541 loss: 2.0541 2022/08/02 17:31:26 - mmengine - INFO - Epoch(train) [58][1760/1879] lr: 2.0000e-02 eta: 1 day, 19:55:08 time: 0.9253 data_time: 0.0255 memory: 11089 grad_norm: 4.0261 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9883 loss: 1.9883 2022/08/02 17:31:44 - mmengine - INFO - Epoch(train) [58][1780/1879] lr: 2.0000e-02 eta: 1 day, 19:54:50 time: 0.9281 data_time: 0.0286 memory: 11089 grad_norm: 4.1082 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9416 loss: 1.9416 2022/08/02 17:32:03 - mmengine - INFO - Epoch(train) [58][1800/1879] lr: 2.0000e-02 eta: 1 day, 19:54:32 time: 0.9209 data_time: 0.0298 memory: 11089 grad_norm: 4.1480 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0501 loss: 2.0501 2022/08/02 17:32:21 - mmengine - INFO - Epoch(train) [58][1820/1879] lr: 2.0000e-02 eta: 1 day, 19:54:14 time: 0.9231 data_time: 0.0309 memory: 11089 grad_norm: 4.1985 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1691 loss: 2.1691 2022/08/02 17:32:39 - mmengine - INFO - Epoch(train) [58][1840/1879] lr: 2.0000e-02 eta: 1 day, 19:53:56 time: 0.9202 data_time: 0.0234 memory: 11089 grad_norm: 4.0434 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9077 loss: 1.9077 2022/08/02 17:32:58 - mmengine - INFO - Epoch(train) [58][1860/1879] lr: 2.0000e-02 eta: 1 day, 19:53:38 time: 0.9281 data_time: 0.0259 memory: 11089 grad_norm: 4.1117 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9816 loss: 1.9816 2022/08/02 17:33:14 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 17:33:14 - mmengine - INFO - Epoch(train) [58][1879/1879] lr: 2.0000e-02 eta: 1 day, 19:53:38 time: 0.8674 data_time: 0.0198 memory: 11089 grad_norm: 4.2093 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.9872 loss: 1.9872 2022/08/02 17:33:33 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 17:33:35 - mmengine - INFO - Epoch(train) [59][20/1879] lr: 2.0000e-02 eta: 1 day, 19:52:37 time: 1.0000 data_time: 0.1232 memory: 11089 grad_norm: 3.9679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7176 loss: 1.7176 2022/08/02 17:33:53 - mmengine - INFO - Epoch(train) [59][40/1879] lr: 2.0000e-02 eta: 1 day, 19:52:19 time: 0.9071 data_time: 0.0269 memory: 11089 grad_norm: 3.9377 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7599 loss: 1.7599 2022/08/02 17:34:11 - mmengine - INFO - Epoch(train) [59][60/1879] lr: 2.0000e-02 eta: 1 day, 19:52:01 time: 0.9315 data_time: 0.0275 memory: 11089 grad_norm: 4.0136 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7099 loss: 1.7099 2022/08/02 17:34:29 - mmengine - INFO - Epoch(train) [59][80/1879] lr: 2.0000e-02 eta: 1 day, 19:51:43 time: 0.9018 data_time: 0.0246 memory: 11089 grad_norm: 4.0673 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9659 loss: 1.9659 2022/08/02 17:34:48 - mmengine - INFO - Epoch(train) [59][100/1879] lr: 2.0000e-02 eta: 1 day, 19:51:24 time: 0.9161 data_time: 0.0230 memory: 11089 grad_norm: 4.1513 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0143 loss: 2.0143 2022/08/02 17:35:06 - mmengine - INFO - Epoch(train) [59][120/1879] lr: 2.0000e-02 eta: 1 day, 19:51:06 time: 0.9185 data_time: 0.0284 memory: 11089 grad_norm: 4.0544 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7193 loss: 1.7193 2022/08/02 17:35:25 - mmengine - INFO - Epoch(train) [59][140/1879] lr: 2.0000e-02 eta: 1 day, 19:50:48 time: 0.9221 data_time: 0.0244 memory: 11089 grad_norm: 4.1569 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9621 loss: 1.9621 2022/08/02 17:35:43 - mmengine - INFO - Epoch(train) [59][160/1879] lr: 2.0000e-02 eta: 1 day, 19:50:30 time: 0.9165 data_time: 0.0265 memory: 11089 grad_norm: 4.1251 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7933 loss: 1.7933 2022/08/02 17:36:01 - mmengine - INFO - Epoch(train) [59][180/1879] lr: 2.0000e-02 eta: 1 day, 19:50:12 time: 0.9221 data_time: 0.0248 memory: 11089 grad_norm: 4.1349 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8581 loss: 1.8581 2022/08/02 17:36:20 - mmengine - INFO - Epoch(train) [59][200/1879] lr: 2.0000e-02 eta: 1 day, 19:49:54 time: 0.9350 data_time: 0.0241 memory: 11089 grad_norm: 4.1073 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0520 loss: 2.0520 2022/08/02 17:36:38 - mmengine - INFO - Epoch(train) [59][220/1879] lr: 2.0000e-02 eta: 1 day, 19:49:36 time: 0.9213 data_time: 0.0230 memory: 11089 grad_norm: 4.0406 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9357 loss: 1.9357 2022/08/02 17:36:57 - mmengine - INFO - Epoch(train) [59][240/1879] lr: 2.0000e-02 eta: 1 day, 19:49:18 time: 0.9196 data_time: 0.0298 memory: 11089 grad_norm: 4.0847 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7997 loss: 1.7997 2022/08/02 17:37:15 - mmengine - INFO - Epoch(train) [59][260/1879] lr: 2.0000e-02 eta: 1 day, 19:49:00 time: 0.9067 data_time: 0.0277 memory: 11089 grad_norm: 4.0876 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8231 loss: 1.8231 2022/08/02 17:37:34 - mmengine - INFO - Epoch(train) [59][280/1879] lr: 2.0000e-02 eta: 1 day, 19:48:42 time: 0.9285 data_time: 0.0265 memory: 11089 grad_norm: 4.1285 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8243 loss: 1.8243 2022/08/02 17:37:52 - mmengine - INFO - Epoch(train) [59][300/1879] lr: 2.0000e-02 eta: 1 day, 19:48:24 time: 0.9125 data_time: 0.0237 memory: 11089 grad_norm: 4.1907 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.0938 loss: 2.0938 2022/08/02 17:38:10 - mmengine - INFO - Epoch(train) [59][320/1879] lr: 2.0000e-02 eta: 1 day, 19:48:06 time: 0.9225 data_time: 0.0267 memory: 11089 grad_norm: 4.1562 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2132 loss: 2.2132 2022/08/02 17:38:29 - mmengine - INFO - Epoch(train) [59][340/1879] lr: 2.0000e-02 eta: 1 day, 19:47:48 time: 0.9298 data_time: 0.0313 memory: 11089 grad_norm: 4.1728 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9405 loss: 1.9405 2022/08/02 17:38:47 - mmengine - INFO - Epoch(train) [59][360/1879] lr: 2.0000e-02 eta: 1 day, 19:47:30 time: 0.9209 data_time: 0.0260 memory: 11089 grad_norm: 4.1426 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9148 loss: 1.9148 2022/08/02 17:39:06 - mmengine - INFO - Epoch(train) [59][380/1879] lr: 2.0000e-02 eta: 1 day, 19:47:11 time: 0.9135 data_time: 0.0247 memory: 11089 grad_norm: 4.0129 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9076 loss: 1.9076 2022/08/02 17:39:24 - mmengine - INFO - Epoch(train) [59][400/1879] lr: 2.0000e-02 eta: 1 day, 19:46:53 time: 0.9196 data_time: 0.0338 memory: 11089 grad_norm: 4.0639 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7596 loss: 1.7596 2022/08/02 17:39:42 - mmengine - INFO - Epoch(train) [59][420/1879] lr: 2.0000e-02 eta: 1 day, 19:46:35 time: 0.9200 data_time: 0.0286 memory: 11089 grad_norm: 4.0809 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9286 loss: 1.9286 2022/08/02 17:40:01 - mmengine - INFO - Epoch(train) [59][440/1879] lr: 2.0000e-02 eta: 1 day, 19:46:17 time: 0.9130 data_time: 0.0319 memory: 11089 grad_norm: 4.0373 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0034 loss: 2.0034 2022/08/02 17:40:19 - mmengine - INFO - Epoch(train) [59][460/1879] lr: 2.0000e-02 eta: 1 day, 19:45:59 time: 0.9194 data_time: 0.0241 memory: 11089 grad_norm: 4.0650 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0600 loss: 2.0600 2022/08/02 17:40:37 - mmengine - INFO - Epoch(train) [59][480/1879] lr: 2.0000e-02 eta: 1 day, 19:45:41 time: 0.9169 data_time: 0.0315 memory: 11089 grad_norm: 4.0140 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8676 loss: 1.8676 2022/08/02 17:40:56 - mmengine - INFO - Epoch(train) [59][500/1879] lr: 2.0000e-02 eta: 1 day, 19:45:23 time: 0.9226 data_time: 0.0365 memory: 11089 grad_norm: 4.1280 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7982 loss: 1.7982 2022/08/02 17:41:14 - mmengine - INFO - Epoch(train) [59][520/1879] lr: 2.0000e-02 eta: 1 day, 19:45:04 time: 0.9086 data_time: 0.0262 memory: 11089 grad_norm: 4.1548 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8716 loss: 1.8716 2022/08/02 17:41:33 - mmengine - INFO - Epoch(train) [59][540/1879] lr: 2.0000e-02 eta: 1 day, 19:44:46 time: 0.9271 data_time: 0.0312 memory: 11089 grad_norm: 4.0616 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8663 loss: 1.8663 2022/08/02 17:41:51 - mmengine - INFO - Epoch(train) [59][560/1879] lr: 2.0000e-02 eta: 1 day, 19:44:28 time: 0.9101 data_time: 0.0258 memory: 11089 grad_norm: 3.9854 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8193 loss: 1.8193 2022/08/02 17:42:09 - mmengine - INFO - Epoch(train) [59][580/1879] lr: 2.0000e-02 eta: 1 day, 19:44:09 time: 0.9060 data_time: 0.0288 memory: 11089 grad_norm: 4.0193 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9572 loss: 1.9572 2022/08/02 17:42:28 - mmengine - INFO - Epoch(train) [59][600/1879] lr: 2.0000e-02 eta: 1 day, 19:43:52 time: 0.9319 data_time: 0.0291 memory: 11089 grad_norm: 4.0691 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7474 loss: 1.7474 2022/08/02 17:42:46 - mmengine - INFO - Epoch(train) [59][620/1879] lr: 2.0000e-02 eta: 1 day, 19:43:33 time: 0.9132 data_time: 0.0280 memory: 11089 grad_norm: 4.2181 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0411 loss: 2.0411 2022/08/02 17:43:04 - mmengine - INFO - Epoch(train) [59][640/1879] lr: 2.0000e-02 eta: 1 day, 19:43:15 time: 0.9163 data_time: 0.0205 memory: 11089 grad_norm: 4.0734 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9021 loss: 1.9021 2022/08/02 17:43:22 - mmengine - INFO - Epoch(train) [59][660/1879] lr: 2.0000e-02 eta: 1 day, 19:42:57 time: 0.9116 data_time: 0.0228 memory: 11089 grad_norm: 4.1217 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7561 loss: 1.7561 2022/08/02 17:43:41 - mmengine - INFO - Epoch(train) [59][680/1879] lr: 2.0000e-02 eta: 1 day, 19:42:38 time: 0.9104 data_time: 0.0276 memory: 11089 grad_norm: 4.1011 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9923 loss: 1.9923 2022/08/02 17:43:59 - mmengine - INFO - Epoch(train) [59][700/1879] lr: 2.0000e-02 eta: 1 day, 19:42:20 time: 0.9061 data_time: 0.0223 memory: 11089 grad_norm: 4.0263 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9929 loss: 1.9929 2022/08/02 17:44:17 - mmengine - INFO - Epoch(train) [59][720/1879] lr: 2.0000e-02 eta: 1 day, 19:42:02 time: 0.9088 data_time: 0.0275 memory: 11089 grad_norm: 3.9743 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.9456 loss: 1.9456 2022/08/02 17:44:35 - mmengine - INFO - Epoch(train) [59][740/1879] lr: 2.0000e-02 eta: 1 day, 19:41:43 time: 0.9021 data_time: 0.0235 memory: 11089 grad_norm: 4.0350 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7637 loss: 1.7637 2022/08/02 17:44:53 - mmengine - INFO - Epoch(train) [59][760/1879] lr: 2.0000e-02 eta: 1 day, 19:41:25 time: 0.9157 data_time: 0.0243 memory: 11089 grad_norm: 4.1440 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9269 loss: 1.9269 2022/08/02 17:45:11 - mmengine - INFO - Epoch(train) [59][780/1879] lr: 2.0000e-02 eta: 1 day, 19:41:06 time: 0.8993 data_time: 0.0222 memory: 11089 grad_norm: 4.2044 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1156 loss: 2.1156 2022/08/02 17:45:30 - mmengine - INFO - Epoch(train) [59][800/1879] lr: 2.0000e-02 eta: 1 day, 19:40:48 time: 0.9209 data_time: 0.0296 memory: 11089 grad_norm: 4.1173 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8878 loss: 1.8878 2022/08/02 17:45:48 - mmengine - INFO - Epoch(train) [59][820/1879] lr: 2.0000e-02 eta: 1 day, 19:40:30 time: 0.9147 data_time: 0.0276 memory: 11089 grad_norm: 4.0593 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9320 loss: 1.9320 2022/08/02 17:46:06 - mmengine - INFO - Epoch(train) [59][840/1879] lr: 2.0000e-02 eta: 1 day, 19:40:11 time: 0.9130 data_time: 0.0239 memory: 11089 grad_norm: 4.1166 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0664 loss: 2.0664 2022/08/02 17:46:24 - mmengine - INFO - Epoch(train) [59][860/1879] lr: 2.0000e-02 eta: 1 day, 19:39:53 time: 0.9067 data_time: 0.0294 memory: 11089 grad_norm: 4.0964 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0244 loss: 2.0244 2022/08/02 17:46:42 - mmengine - INFO - Epoch(train) [59][880/1879] lr: 2.0000e-02 eta: 1 day, 19:39:34 time: 0.9006 data_time: 0.0209 memory: 11089 grad_norm: 4.1162 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1620 loss: 2.1620 2022/08/02 17:47:01 - mmengine - INFO - Epoch(train) [59][900/1879] lr: 2.0000e-02 eta: 1 day, 19:39:17 time: 0.9397 data_time: 0.0237 memory: 11089 grad_norm: 4.1065 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0444 loss: 2.0444 2022/08/02 17:47:20 - mmengine - INFO - Epoch(train) [59][920/1879] lr: 2.0000e-02 eta: 1 day, 19:38:59 time: 0.9300 data_time: 0.0239 memory: 11089 grad_norm: 4.1958 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8432 loss: 1.8432 2022/08/02 17:47:38 - mmengine - INFO - Epoch(train) [59][940/1879] lr: 2.0000e-02 eta: 1 day, 19:38:40 time: 0.9047 data_time: 0.0262 memory: 11089 grad_norm: 3.9747 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7587 loss: 1.7587 2022/08/02 17:47:56 - mmengine - INFO - Epoch(train) [59][960/1879] lr: 2.0000e-02 eta: 1 day, 19:38:22 time: 0.9132 data_time: 0.0286 memory: 11089 grad_norm: 4.1577 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8988 loss: 1.8988 2022/08/02 17:48:15 - mmengine - INFO - Epoch(train) [59][980/1879] lr: 2.0000e-02 eta: 1 day, 19:38:04 time: 0.9177 data_time: 0.0286 memory: 11089 grad_norm: 4.0395 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9636 loss: 1.9636 2022/08/02 17:48:33 - mmengine - INFO - Epoch(train) [59][1000/1879] lr: 2.0000e-02 eta: 1 day, 19:37:45 time: 0.9035 data_time: 0.0293 memory: 11089 grad_norm: 4.0633 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9020 loss: 1.9020 2022/08/02 17:48:49 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 17:48:51 - mmengine - INFO - Epoch(train) [59][1020/1879] lr: 2.0000e-02 eta: 1 day, 19:37:27 time: 0.9248 data_time: 0.0266 memory: 11089 grad_norm: 4.1858 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0066 loss: 2.0066 2022/08/02 17:49:09 - mmengine - INFO - Epoch(train) [59][1040/1879] lr: 2.0000e-02 eta: 1 day, 19:37:09 time: 0.9089 data_time: 0.0281 memory: 11089 grad_norm: 4.0792 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7342 loss: 1.7342 2022/08/02 17:49:28 - mmengine - INFO - Epoch(train) [59][1060/1879] lr: 2.0000e-02 eta: 1 day, 19:36:51 time: 0.9313 data_time: 0.0330 memory: 11089 grad_norm: 4.1032 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7877 loss: 1.7877 2022/08/02 17:49:46 - mmengine - INFO - Epoch(train) [59][1080/1879] lr: 2.0000e-02 eta: 1 day, 19:36:33 time: 0.9288 data_time: 0.0301 memory: 11089 grad_norm: 4.0351 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9337 loss: 1.9337 2022/08/02 17:50:05 - mmengine - INFO - Epoch(train) [59][1100/1879] lr: 2.0000e-02 eta: 1 day, 19:36:15 time: 0.9089 data_time: 0.0217 memory: 11089 grad_norm: 4.0028 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8351 loss: 1.8351 2022/08/02 17:50:23 - mmengine - INFO - Epoch(train) [59][1120/1879] lr: 2.0000e-02 eta: 1 day, 19:35:57 time: 0.9195 data_time: 0.0354 memory: 11089 grad_norm: 4.1714 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0055 loss: 2.0055 2022/08/02 17:50:41 - mmengine - INFO - Epoch(train) [59][1140/1879] lr: 2.0000e-02 eta: 1 day, 19:35:38 time: 0.9103 data_time: 0.0210 memory: 11089 grad_norm: 4.1292 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8013 loss: 1.8013 2022/08/02 17:50:59 - mmengine - INFO - Epoch(train) [59][1160/1879] lr: 2.0000e-02 eta: 1 day, 19:35:20 time: 0.9033 data_time: 0.0221 memory: 11089 grad_norm: 4.0872 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7207 loss: 1.7207 2022/08/02 17:51:18 - mmengine - INFO - Epoch(train) [59][1180/1879] lr: 2.0000e-02 eta: 1 day, 19:35:02 time: 0.9207 data_time: 0.0252 memory: 11089 grad_norm: 4.1038 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8746 loss: 1.8746 2022/08/02 17:51:36 - mmengine - INFO - Epoch(train) [59][1200/1879] lr: 2.0000e-02 eta: 1 day, 19:34:43 time: 0.9026 data_time: 0.0234 memory: 11089 grad_norm: 4.1468 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0333 loss: 2.0333 2022/08/02 17:51:54 - mmengine - INFO - Epoch(train) [59][1220/1879] lr: 2.0000e-02 eta: 1 day, 19:34:25 time: 0.9043 data_time: 0.0223 memory: 11089 grad_norm: 4.0356 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8742 loss: 1.8742 2022/08/02 17:52:12 - mmengine - INFO - Epoch(train) [59][1240/1879] lr: 2.0000e-02 eta: 1 day, 19:34:06 time: 0.9045 data_time: 0.0275 memory: 11089 grad_norm: 4.1300 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8934 loss: 1.8934 2022/08/02 17:52:30 - mmengine - INFO - Epoch(train) [59][1260/1879] lr: 2.0000e-02 eta: 1 day, 19:33:47 time: 0.9075 data_time: 0.0281 memory: 11089 grad_norm: 4.1974 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9864 loss: 1.9864 2022/08/02 17:52:49 - mmengine - INFO - Epoch(train) [59][1280/1879] lr: 2.0000e-02 eta: 1 day, 19:33:30 time: 0.9325 data_time: 0.0292 memory: 11089 grad_norm: 4.1984 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9543 loss: 1.9543 2022/08/02 17:53:07 - mmengine - INFO - Epoch(train) [59][1300/1879] lr: 2.0000e-02 eta: 1 day, 19:33:11 time: 0.8889 data_time: 0.0211 memory: 11089 grad_norm: 4.1911 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8233 loss: 1.8233 2022/08/02 17:53:25 - mmengine - INFO - Epoch(train) [59][1320/1879] lr: 2.0000e-02 eta: 1 day, 19:32:53 time: 0.9302 data_time: 0.0301 memory: 11089 grad_norm: 4.0736 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9454 loss: 1.9454 2022/08/02 17:53:43 - mmengine - INFO - Epoch(train) [59][1340/1879] lr: 2.0000e-02 eta: 1 day, 19:32:34 time: 0.9037 data_time: 0.0277 memory: 11089 grad_norm: 4.0803 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8894 loss: 1.8894 2022/08/02 17:54:01 - mmengine - INFO - Epoch(train) [59][1360/1879] lr: 2.0000e-02 eta: 1 day, 19:32:16 time: 0.9074 data_time: 0.0256 memory: 11089 grad_norm: 4.0499 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8934 loss: 1.8934 2022/08/02 17:54:20 - mmengine - INFO - Epoch(train) [59][1380/1879] lr: 2.0000e-02 eta: 1 day, 19:31:58 time: 0.9116 data_time: 0.0247 memory: 11089 grad_norm: 4.0766 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9991 loss: 1.9991 2022/08/02 17:54:38 - mmengine - INFO - Epoch(train) [59][1400/1879] lr: 2.0000e-02 eta: 1 day, 19:31:39 time: 0.9079 data_time: 0.0269 memory: 11089 grad_norm: 4.1564 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9725 loss: 1.9725 2022/08/02 17:54:56 - mmengine - INFO - Epoch(train) [59][1420/1879] lr: 2.0000e-02 eta: 1 day, 19:31:21 time: 0.9119 data_time: 0.0320 memory: 11089 grad_norm: 4.1032 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9242 loss: 1.9242 2022/08/02 17:55:14 - mmengine - INFO - Epoch(train) [59][1440/1879] lr: 2.0000e-02 eta: 1 day, 19:31:02 time: 0.9064 data_time: 0.0287 memory: 11089 grad_norm: 4.0949 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7977 loss: 1.7977 2022/08/02 17:55:33 - mmengine - INFO - Epoch(train) [59][1460/1879] lr: 2.0000e-02 eta: 1 day, 19:30:44 time: 0.9191 data_time: 0.0280 memory: 11089 grad_norm: 4.0770 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8418 loss: 1.8418 2022/08/02 17:55:51 - mmengine - INFO - Epoch(train) [59][1480/1879] lr: 2.0000e-02 eta: 1 day, 19:30:25 time: 0.9023 data_time: 0.0250 memory: 11089 grad_norm: 4.1525 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8370 loss: 1.8370 2022/08/02 17:56:09 - mmengine - INFO - Epoch(train) [59][1500/1879] lr: 2.0000e-02 eta: 1 day, 19:30:07 time: 0.9229 data_time: 0.0257 memory: 11089 grad_norm: 4.2217 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0291 loss: 2.0291 2022/08/02 17:56:27 - mmengine - INFO - Epoch(train) [59][1520/1879] lr: 2.0000e-02 eta: 1 day, 19:29:49 time: 0.9056 data_time: 0.0307 memory: 11089 grad_norm: 3.9563 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0721 loss: 2.0721 2022/08/02 17:56:45 - mmengine - INFO - Epoch(train) [59][1540/1879] lr: 2.0000e-02 eta: 1 day, 19:29:30 time: 0.9055 data_time: 0.0303 memory: 11089 grad_norm: 4.0334 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8835 loss: 1.8835 2022/08/02 17:57:03 - mmengine - INFO - Epoch(train) [59][1560/1879] lr: 2.0000e-02 eta: 1 day, 19:29:12 time: 0.9113 data_time: 0.0302 memory: 11089 grad_norm: 4.1292 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8893 loss: 1.8893 2022/08/02 17:57:22 - mmengine - INFO - Epoch(train) [59][1580/1879] lr: 2.0000e-02 eta: 1 day, 19:28:54 time: 0.9113 data_time: 0.0295 memory: 11089 grad_norm: 4.1223 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1320 loss: 2.1320 2022/08/02 17:57:40 - mmengine - INFO - Epoch(train) [59][1600/1879] lr: 2.0000e-02 eta: 1 day, 19:28:36 time: 0.9187 data_time: 0.0237 memory: 11089 grad_norm: 4.1034 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9532 loss: 1.9532 2022/08/02 17:57:58 - mmengine - INFO - Epoch(train) [59][1620/1879] lr: 2.0000e-02 eta: 1 day, 19:28:17 time: 0.9193 data_time: 0.0324 memory: 11089 grad_norm: 4.1213 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0988 loss: 2.0988 2022/08/02 17:58:17 - mmengine - INFO - Epoch(train) [59][1640/1879] lr: 2.0000e-02 eta: 1 day, 19:27:59 time: 0.9139 data_time: 0.0241 memory: 11089 grad_norm: 4.1440 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.2059 loss: 2.2059 2022/08/02 17:58:35 - mmengine - INFO - Epoch(train) [59][1660/1879] lr: 2.0000e-02 eta: 1 day, 19:27:41 time: 0.9135 data_time: 0.0238 memory: 11089 grad_norm: 4.0048 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9421 loss: 1.9421 2022/08/02 17:58:53 - mmengine - INFO - Epoch(train) [59][1680/1879] lr: 2.0000e-02 eta: 1 day, 19:27:23 time: 0.9175 data_time: 0.0229 memory: 11089 grad_norm: 4.1381 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0492 loss: 2.0492 2022/08/02 17:59:12 - mmengine - INFO - Epoch(train) [59][1700/1879] lr: 2.0000e-02 eta: 1 day, 19:27:05 time: 0.9183 data_time: 0.0276 memory: 11089 grad_norm: 3.9920 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7903 loss: 1.7903 2022/08/02 17:59:30 - mmengine - INFO - Epoch(train) [59][1720/1879] lr: 2.0000e-02 eta: 1 day, 19:26:47 time: 0.9268 data_time: 0.0274 memory: 11089 grad_norm: 4.0276 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9708 loss: 1.9708 2022/08/02 17:59:49 - mmengine - INFO - Epoch(train) [59][1740/1879] lr: 2.0000e-02 eta: 1 day, 19:26:28 time: 0.9159 data_time: 0.0285 memory: 11089 grad_norm: 4.0584 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9798 loss: 1.9798 2022/08/02 18:00:09 - mmengine - INFO - Epoch(train) [59][1760/1879] lr: 2.0000e-02 eta: 1 day, 19:26:14 time: 1.0400 data_time: 0.0285 memory: 11089 grad_norm: 4.0232 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2767 loss: 2.2767 2022/08/02 18:00:27 - mmengine - INFO - Epoch(train) [59][1780/1879] lr: 2.0000e-02 eta: 1 day, 19:25:55 time: 0.9026 data_time: 0.0262 memory: 11089 grad_norm: 4.0807 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8708 loss: 1.8708 2022/08/02 18:00:46 - mmengine - INFO - Epoch(train) [59][1800/1879] lr: 2.0000e-02 eta: 1 day, 19:25:37 time: 0.9051 data_time: 0.0306 memory: 11089 grad_norm: 4.1942 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0069 loss: 2.0069 2022/08/02 18:01:04 - mmengine - INFO - Epoch(train) [59][1820/1879] lr: 2.0000e-02 eta: 1 day, 19:25:18 time: 0.8982 data_time: 0.0237 memory: 11089 grad_norm: 3.9582 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.0372 loss: 2.0372 2022/08/02 18:01:22 - mmengine - INFO - Epoch(train) [59][1840/1879] lr: 2.0000e-02 eta: 1 day, 19:25:00 time: 0.9161 data_time: 0.0254 memory: 11089 grad_norm: 4.0330 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8608 loss: 1.8608 2022/08/02 18:01:40 - mmengine - INFO - Epoch(train) [59][1860/1879] lr: 2.0000e-02 eta: 1 day, 19:24:41 time: 0.9062 data_time: 0.0259 memory: 11089 grad_norm: 4.0041 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.0137 loss: 2.0137 2022/08/02 18:01:57 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 18:01:57 - mmengine - INFO - Epoch(train) [59][1879/1879] lr: 2.0000e-02 eta: 1 day, 19:24:41 time: 0.8951 data_time: 0.0273 memory: 11089 grad_norm: 4.1844 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.9824 loss: 1.9824 2022/08/02 18:02:17 - mmengine - INFO - Epoch(train) [60][20/1879] lr: 2.0000e-02 eta: 1 day, 19:23:42 time: 0.9971 data_time: 0.1265 memory: 11089 grad_norm: 4.1183 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9684 loss: 1.9684 2022/08/02 18:02:35 - mmengine - INFO - Epoch(train) [60][40/1879] lr: 2.0000e-02 eta: 1 day, 19:23:23 time: 0.9150 data_time: 0.0267 memory: 11089 grad_norm: 4.0145 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9455 loss: 1.9455 2022/08/02 18:02:54 - mmengine - INFO - Epoch(train) [60][60/1879] lr: 2.0000e-02 eta: 1 day, 19:23:06 time: 0.9310 data_time: 0.0340 memory: 11089 grad_norm: 4.0260 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0344 loss: 2.0344 2022/08/02 18:03:12 - mmengine - INFO - Epoch(train) [60][80/1879] lr: 2.0000e-02 eta: 1 day, 19:22:48 time: 0.9250 data_time: 0.0292 memory: 11089 grad_norm: 4.0848 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.7802 loss: 1.7802 2022/08/02 18:03:31 - mmengine - INFO - Epoch(train) [60][100/1879] lr: 2.0000e-02 eta: 1 day, 19:22:30 time: 0.9188 data_time: 0.0324 memory: 11089 grad_norm: 4.1485 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0178 loss: 2.0178 2022/08/02 18:03:49 - mmengine - INFO - Epoch(train) [60][120/1879] lr: 2.0000e-02 eta: 1 day, 19:22:12 time: 0.9225 data_time: 0.0262 memory: 11089 grad_norm: 4.1576 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9393 loss: 1.9393 2022/08/02 18:04:07 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 18:04:08 - mmengine - INFO - Epoch(train) [60][140/1879] lr: 2.0000e-02 eta: 1 day, 19:21:53 time: 0.9201 data_time: 0.0302 memory: 11089 grad_norm: 4.1188 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.7875 loss: 1.7875 2022/08/02 18:04:26 - mmengine - INFO - Epoch(train) [60][160/1879] lr: 2.0000e-02 eta: 1 day, 19:21:35 time: 0.9096 data_time: 0.0258 memory: 11089 grad_norm: 4.0158 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8159 loss: 1.8159 2022/08/02 18:04:44 - mmengine - INFO - Epoch(train) [60][180/1879] lr: 2.0000e-02 eta: 1 day, 19:21:17 time: 0.9178 data_time: 0.0278 memory: 11089 grad_norm: 3.9938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1220 loss: 2.1220 2022/08/02 18:05:02 - mmengine - INFO - Epoch(train) [60][200/1879] lr: 2.0000e-02 eta: 1 day, 19:20:58 time: 0.9061 data_time: 0.0252 memory: 11089 grad_norm: 4.1101 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9404 loss: 1.9404 2022/08/02 18:05:21 - mmengine - INFO - Epoch(train) [60][220/1879] lr: 2.0000e-02 eta: 1 day, 19:20:40 time: 0.9242 data_time: 0.0232 memory: 11089 grad_norm: 4.1512 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0570 loss: 2.0570 2022/08/02 18:05:39 - mmengine - INFO - Epoch(train) [60][240/1879] lr: 2.0000e-02 eta: 1 day, 19:20:22 time: 0.9132 data_time: 0.0336 memory: 11089 grad_norm: 4.1326 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8757 loss: 1.8757 2022/08/02 18:05:57 - mmengine - INFO - Epoch(train) [60][260/1879] lr: 2.0000e-02 eta: 1 day, 19:20:04 time: 0.9010 data_time: 0.0246 memory: 11089 grad_norm: 4.0954 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9749 loss: 1.9749 2022/08/02 18:06:15 - mmengine - INFO - Epoch(train) [60][280/1879] lr: 2.0000e-02 eta: 1 day, 19:19:45 time: 0.9019 data_time: 0.0247 memory: 11089 grad_norm: 4.0721 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9015 loss: 1.9015 2022/08/02 18:06:34 - mmengine - INFO - Epoch(train) [60][300/1879] lr: 2.0000e-02 eta: 1 day, 19:19:27 time: 0.9208 data_time: 0.0277 memory: 11089 grad_norm: 4.1793 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1037 loss: 2.1037 2022/08/02 18:06:52 - mmengine - INFO - Epoch(train) [60][320/1879] lr: 2.0000e-02 eta: 1 day, 19:19:08 time: 0.9080 data_time: 0.0270 memory: 11089 grad_norm: 4.2168 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 1.8660 loss: 1.8660 2022/08/02 18:07:10 - mmengine - INFO - Epoch(train) [60][340/1879] lr: 2.0000e-02 eta: 1 day, 19:18:50 time: 0.9016 data_time: 0.0236 memory: 11089 grad_norm: 4.1408 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8217 loss: 1.8217 2022/08/02 18:07:28 - mmengine - INFO - Epoch(train) [60][360/1879] lr: 2.0000e-02 eta: 1 day, 19:18:31 time: 0.9053 data_time: 0.0261 memory: 11089 grad_norm: 4.0715 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.2180 loss: 2.2180 2022/08/02 18:07:46 - mmengine - INFO - Epoch(train) [60][380/1879] lr: 2.0000e-02 eta: 1 day, 19:18:13 time: 0.9187 data_time: 0.0231 memory: 11089 grad_norm: 4.1088 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9779 loss: 1.9779 2022/08/02 18:08:05 - mmengine - INFO - Epoch(train) [60][400/1879] lr: 2.0000e-02 eta: 1 day, 19:17:55 time: 0.9093 data_time: 0.0267 memory: 11089 grad_norm: 4.1174 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7845 loss: 1.7845 2022/08/02 18:08:23 - mmengine - INFO - Epoch(train) [60][420/1879] lr: 2.0000e-02 eta: 1 day, 19:17:37 time: 0.9257 data_time: 0.0327 memory: 11089 grad_norm: 4.0552 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0087 loss: 2.0087 2022/08/02 18:08:41 - mmengine - INFO - Epoch(train) [60][440/1879] lr: 2.0000e-02 eta: 1 day, 19:17:19 time: 0.9187 data_time: 0.0260 memory: 11089 grad_norm: 4.1224 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9564 loss: 1.9564 2022/08/02 18:09:00 - mmengine - INFO - Epoch(train) [60][460/1879] lr: 2.0000e-02 eta: 1 day, 19:17:01 time: 0.9217 data_time: 0.0273 memory: 11089 grad_norm: 4.0189 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8245 loss: 1.8245 2022/08/02 18:09:18 - mmengine - INFO - Epoch(train) [60][480/1879] lr: 2.0000e-02 eta: 1 day, 19:16:43 time: 0.9238 data_time: 0.0268 memory: 11089 grad_norm: 4.0903 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7484 loss: 1.7484 2022/08/02 18:09:37 - mmengine - INFO - Epoch(train) [60][500/1879] lr: 2.0000e-02 eta: 1 day, 19:16:25 time: 0.9316 data_time: 0.0245 memory: 11089 grad_norm: 4.0258 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8150 loss: 1.8150 2022/08/02 18:09:55 - mmengine - INFO - Epoch(train) [60][520/1879] lr: 2.0000e-02 eta: 1 day, 19:16:07 time: 0.9126 data_time: 0.0304 memory: 11089 grad_norm: 4.0313 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9636 loss: 1.9636 2022/08/02 18:10:13 - mmengine - INFO - Epoch(train) [60][540/1879] lr: 2.0000e-02 eta: 1 day, 19:15:48 time: 0.8962 data_time: 0.0265 memory: 11089 grad_norm: 4.0199 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0187 loss: 2.0187 2022/08/02 18:10:31 - mmengine - INFO - Epoch(train) [60][560/1879] lr: 2.0000e-02 eta: 1 day, 19:15:29 time: 0.9087 data_time: 0.0220 memory: 11089 grad_norm: 4.1864 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.8772 loss: 1.8772 2022/08/02 18:10:50 - mmengine - INFO - Epoch(train) [60][580/1879] lr: 2.0000e-02 eta: 1 day, 19:15:11 time: 0.9268 data_time: 0.0275 memory: 11089 grad_norm: 4.1132 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0425 loss: 2.0425 2022/08/02 18:11:08 - mmengine - INFO - Epoch(train) [60][600/1879] lr: 2.0000e-02 eta: 1 day, 19:14:53 time: 0.9133 data_time: 0.0270 memory: 11089 grad_norm: 4.1898 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9585 loss: 1.9585 2022/08/02 18:11:26 - mmengine - INFO - Epoch(train) [60][620/1879] lr: 2.0000e-02 eta: 1 day, 19:14:35 time: 0.9133 data_time: 0.0232 memory: 11089 grad_norm: 4.1546 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9918 loss: 1.9918 2022/08/02 18:11:45 - mmengine - INFO - Epoch(train) [60][640/1879] lr: 2.0000e-02 eta: 1 day, 19:14:17 time: 0.9155 data_time: 0.0324 memory: 11089 grad_norm: 4.0826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0300 loss: 2.0300 2022/08/02 18:12:03 - mmengine - INFO - Epoch(train) [60][660/1879] lr: 2.0000e-02 eta: 1 day, 19:13:58 time: 0.9110 data_time: 0.0273 memory: 11089 grad_norm: 4.1954 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9457 loss: 1.9457 2022/08/02 18:12:22 - mmengine - INFO - Epoch(train) [60][680/1879] lr: 2.0000e-02 eta: 1 day, 19:13:41 time: 0.9295 data_time: 0.0324 memory: 11089 grad_norm: 4.1382 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8669 loss: 1.8669 2022/08/02 18:12:40 - mmengine - INFO - Epoch(train) [60][700/1879] lr: 2.0000e-02 eta: 1 day, 19:13:22 time: 0.9159 data_time: 0.0287 memory: 11089 grad_norm: 4.1059 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8173 loss: 1.8173 2022/08/02 18:12:58 - mmengine - INFO - Epoch(train) [60][720/1879] lr: 2.0000e-02 eta: 1 day, 19:13:04 time: 0.8976 data_time: 0.0295 memory: 11089 grad_norm: 4.1195 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1746 loss: 2.1746 2022/08/02 18:13:16 - mmengine - INFO - Epoch(train) [60][740/1879] lr: 2.0000e-02 eta: 1 day, 19:12:45 time: 0.8898 data_time: 0.0218 memory: 11089 grad_norm: 4.0730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9035 loss: 1.9035 2022/08/02 18:13:34 - mmengine - INFO - Epoch(train) [60][760/1879] lr: 2.0000e-02 eta: 1 day, 19:12:26 time: 0.8991 data_time: 0.0284 memory: 11089 grad_norm: 4.0720 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8539 loss: 1.8539 2022/08/02 18:13:52 - mmengine - INFO - Epoch(train) [60][780/1879] lr: 2.0000e-02 eta: 1 day, 19:12:08 time: 0.9218 data_time: 0.0315 memory: 11089 grad_norm: 4.0463 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9275 loss: 1.9275 2022/08/02 18:14:10 - mmengine - INFO - Epoch(train) [60][800/1879] lr: 2.0000e-02 eta: 1 day, 19:11:50 time: 0.9208 data_time: 0.0332 memory: 11089 grad_norm: 4.1510 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0339 loss: 2.0339 2022/08/02 18:14:29 - mmengine - INFO - Epoch(train) [60][820/1879] lr: 2.0000e-02 eta: 1 day, 19:11:32 time: 0.9244 data_time: 0.0238 memory: 11089 grad_norm: 4.0327 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9047 loss: 1.9047 2022/08/02 18:14:47 - mmengine - INFO - Epoch(train) [60][840/1879] lr: 2.0000e-02 eta: 1 day, 19:11:14 time: 0.9152 data_time: 0.0250 memory: 11089 grad_norm: 4.1105 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9024 loss: 1.9024 2022/08/02 18:15:05 - mmengine - INFO - Epoch(train) [60][860/1879] lr: 2.0000e-02 eta: 1 day, 19:10:55 time: 0.9087 data_time: 0.0288 memory: 11089 grad_norm: 4.0794 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9942 loss: 1.9942 2022/08/02 18:15:23 - mmengine - INFO - Epoch(train) [60][880/1879] lr: 2.0000e-02 eta: 1 day, 19:10:36 time: 0.9008 data_time: 0.0266 memory: 11089 grad_norm: 4.1142 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8667 loss: 1.8667 2022/08/02 18:15:42 - mmengine - INFO - Epoch(train) [60][900/1879] lr: 2.0000e-02 eta: 1 day, 19:10:18 time: 0.9060 data_time: 0.0249 memory: 11089 grad_norm: 4.1379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8256 loss: 1.8256 2022/08/02 18:16:00 - mmengine - INFO - Epoch(train) [60][920/1879] lr: 2.0000e-02 eta: 1 day, 19:10:00 time: 0.9146 data_time: 0.0308 memory: 11089 grad_norm: 4.1040 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9000 loss: 1.9000 2022/08/02 18:16:18 - mmengine - INFO - Epoch(train) [60][940/1879] lr: 2.0000e-02 eta: 1 day, 19:09:42 time: 0.9173 data_time: 0.0237 memory: 11089 grad_norm: 4.1310 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8289 loss: 1.8289 2022/08/02 18:16:36 - mmengine - INFO - Epoch(train) [60][960/1879] lr: 2.0000e-02 eta: 1 day, 19:09:23 time: 0.8982 data_time: 0.0265 memory: 11089 grad_norm: 4.2310 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9665 loss: 1.9665 2022/08/02 18:16:55 - mmengine - INFO - Epoch(train) [60][980/1879] lr: 2.0000e-02 eta: 1 day, 19:09:05 time: 0.9241 data_time: 0.0250 memory: 11089 grad_norm: 4.1559 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0696 loss: 2.0696 2022/08/02 18:17:13 - mmengine - INFO - Epoch(train) [60][1000/1879] lr: 2.0000e-02 eta: 1 day, 19:08:46 time: 0.9118 data_time: 0.0291 memory: 11089 grad_norm: 4.0921 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9274 loss: 1.9274 2022/08/02 18:17:31 - mmengine - INFO - Epoch(train) [60][1020/1879] lr: 2.0000e-02 eta: 1 day, 19:08:28 time: 0.9098 data_time: 0.0245 memory: 11089 grad_norm: 4.1474 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8313 loss: 1.8313 2022/08/02 18:17:49 - mmengine - INFO - Epoch(train) [60][1040/1879] lr: 2.0000e-02 eta: 1 day, 19:08:10 time: 0.9084 data_time: 0.0255 memory: 11089 grad_norm: 4.1902 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0500 loss: 2.0500 2022/08/02 18:18:07 - mmengine - INFO - Epoch(train) [60][1060/1879] lr: 2.0000e-02 eta: 1 day, 19:07:51 time: 0.8992 data_time: 0.0217 memory: 11089 grad_norm: 4.2296 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8587 loss: 1.8587 2022/08/02 18:18:26 - mmengine - INFO - Epoch(train) [60][1080/1879] lr: 2.0000e-02 eta: 1 day, 19:07:33 time: 0.9249 data_time: 0.0281 memory: 11089 grad_norm: 4.0736 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0301 loss: 2.0301 2022/08/02 18:18:44 - mmengine - INFO - Epoch(train) [60][1100/1879] lr: 2.0000e-02 eta: 1 day, 19:07:14 time: 0.8997 data_time: 0.0298 memory: 11089 grad_norm: 4.1120 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8965 loss: 1.8965 2022/08/02 18:19:02 - mmengine - INFO - Epoch(train) [60][1120/1879] lr: 2.0000e-02 eta: 1 day, 19:06:56 time: 0.8992 data_time: 0.0186 memory: 11089 grad_norm: 4.1292 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8418 loss: 1.8418 2022/08/02 18:19:19 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 18:19:20 - mmengine - INFO - Epoch(train) [60][1140/1879] lr: 2.0000e-02 eta: 1 day, 19:06:38 time: 0.9222 data_time: 0.0295 memory: 11089 grad_norm: 4.0778 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1669 loss: 2.1669 2022/08/02 18:19:38 - mmengine - INFO - Epoch(train) [60][1160/1879] lr: 2.0000e-02 eta: 1 day, 19:06:19 time: 0.9072 data_time: 0.0298 memory: 11089 grad_norm: 4.0989 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9922 loss: 1.9922 2022/08/02 18:19:57 - mmengine - INFO - Epoch(train) [60][1180/1879] lr: 2.0000e-02 eta: 1 day, 19:06:01 time: 0.9332 data_time: 0.0277 memory: 11089 grad_norm: 4.1189 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1223 loss: 2.1223 2022/08/02 18:20:15 - mmengine - INFO - Epoch(train) [60][1200/1879] lr: 2.0000e-02 eta: 1 day, 19:05:43 time: 0.9168 data_time: 0.0269 memory: 11089 grad_norm: 4.1547 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0067 loss: 2.0067 2022/08/02 18:20:34 - mmengine - INFO - Epoch(train) [60][1220/1879] lr: 2.0000e-02 eta: 1 day, 19:05:26 time: 0.9400 data_time: 0.0323 memory: 11089 grad_norm: 4.0602 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0370 loss: 2.0370 2022/08/02 18:20:52 - mmengine - INFO - Epoch(train) [60][1240/1879] lr: 2.0000e-02 eta: 1 day, 19:05:07 time: 0.9053 data_time: 0.0266 memory: 11089 grad_norm: 4.1166 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8197 loss: 1.8197 2022/08/02 18:21:10 - mmengine - INFO - Epoch(train) [60][1260/1879] lr: 2.0000e-02 eta: 1 day, 19:04:49 time: 0.9111 data_time: 0.0291 memory: 11089 grad_norm: 4.1032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8575 loss: 1.8575 2022/08/02 18:21:29 - mmengine - INFO - Epoch(train) [60][1280/1879] lr: 2.0000e-02 eta: 1 day, 19:04:30 time: 0.9058 data_time: 0.0237 memory: 11089 grad_norm: 4.0783 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8852 loss: 1.8852 2022/08/02 18:21:47 - mmengine - INFO - Epoch(train) [60][1300/1879] lr: 2.0000e-02 eta: 1 day, 19:04:12 time: 0.9234 data_time: 0.0275 memory: 11089 grad_norm: 4.1629 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0563 loss: 2.0563 2022/08/02 18:22:06 - mmengine - INFO - Epoch(train) [60][1320/1879] lr: 2.0000e-02 eta: 1 day, 19:03:55 time: 0.9331 data_time: 0.0251 memory: 11089 grad_norm: 4.1254 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8293 loss: 1.8293 2022/08/02 18:22:24 - mmengine - INFO - Epoch(train) [60][1340/1879] lr: 2.0000e-02 eta: 1 day, 19:03:37 time: 0.9316 data_time: 0.0254 memory: 11089 grad_norm: 4.1131 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9604 loss: 1.9604 2022/08/02 18:22:43 - mmengine - INFO - Epoch(train) [60][1360/1879] lr: 2.0000e-02 eta: 1 day, 19:03:19 time: 0.9203 data_time: 0.0265 memory: 11089 grad_norm: 4.1329 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0342 loss: 2.0342 2022/08/02 18:23:01 - mmengine - INFO - Epoch(train) [60][1380/1879] lr: 2.0000e-02 eta: 1 day, 19:03:01 time: 0.9276 data_time: 0.0352 memory: 11089 grad_norm: 4.1136 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0596 loss: 2.0596 2022/08/02 18:23:20 - mmengine - INFO - Epoch(train) [60][1400/1879] lr: 2.0000e-02 eta: 1 day, 19:02:43 time: 0.9209 data_time: 0.0272 memory: 11089 grad_norm: 4.1187 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.2849 loss: 2.2849 2022/08/02 18:23:38 - mmengine - INFO - Epoch(train) [60][1420/1879] lr: 2.0000e-02 eta: 1 day, 19:02:25 time: 0.9362 data_time: 0.0305 memory: 11089 grad_norm: 3.9987 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8468 loss: 1.8468 2022/08/02 18:23:57 - mmengine - INFO - Epoch(train) [60][1440/1879] lr: 2.0000e-02 eta: 1 day, 19:02:07 time: 0.9274 data_time: 0.0307 memory: 11089 grad_norm: 4.1519 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8982 loss: 1.8982 2022/08/02 18:24:15 - mmengine - INFO - Epoch(train) [60][1460/1879] lr: 2.0000e-02 eta: 1 day, 19:01:49 time: 0.9082 data_time: 0.0268 memory: 11089 grad_norm: 4.1055 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1176 loss: 2.1176 2022/08/02 18:24:34 - mmengine - INFO - Epoch(train) [60][1480/1879] lr: 2.0000e-02 eta: 1 day, 19:01:31 time: 0.9237 data_time: 0.0245 memory: 11089 grad_norm: 3.9586 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9615 loss: 1.9615 2022/08/02 18:24:52 - mmengine - INFO - Epoch(train) [60][1500/1879] lr: 2.0000e-02 eta: 1 day, 19:01:12 time: 0.9035 data_time: 0.0312 memory: 11089 grad_norm: 4.0213 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7681 loss: 1.7681 2022/08/02 18:25:10 - mmengine - INFO - Epoch(train) [60][1520/1879] lr: 2.0000e-02 eta: 1 day, 19:00:54 time: 0.9096 data_time: 0.0275 memory: 11089 grad_norm: 4.0482 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9194 loss: 1.9194 2022/08/02 18:25:28 - mmengine - INFO - Epoch(train) [60][1540/1879] lr: 2.0000e-02 eta: 1 day, 19:00:36 time: 0.9125 data_time: 0.0310 memory: 11089 grad_norm: 4.0540 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8860 loss: 1.8860 2022/08/02 18:25:46 - mmengine - INFO - Epoch(train) [60][1560/1879] lr: 2.0000e-02 eta: 1 day, 19:00:17 time: 0.9033 data_time: 0.0233 memory: 11089 grad_norm: 4.2215 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9035 loss: 1.9035 2022/08/02 18:26:05 - mmengine - INFO - Epoch(train) [60][1580/1879] lr: 2.0000e-02 eta: 1 day, 18:59:59 time: 0.9111 data_time: 0.0289 memory: 11089 grad_norm: 4.0134 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8335 loss: 1.8335 2022/08/02 18:26:22 - mmengine - INFO - Epoch(train) [60][1600/1879] lr: 2.0000e-02 eta: 1 day, 18:59:40 time: 0.8976 data_time: 0.0201 memory: 11089 grad_norm: 4.1086 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8127 loss: 1.8127 2022/08/02 18:26:40 - mmengine - INFO - Epoch(train) [60][1620/1879] lr: 2.0000e-02 eta: 1 day, 18:59:21 time: 0.8976 data_time: 0.0218 memory: 11089 grad_norm: 4.0251 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9344 loss: 1.9344 2022/08/02 18:26:59 - mmengine - INFO - Epoch(train) [60][1640/1879] lr: 2.0000e-02 eta: 1 day, 18:59:03 time: 0.9217 data_time: 0.0286 memory: 11089 grad_norm: 4.0780 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9073 loss: 1.9073 2022/08/02 18:27:17 - mmengine - INFO - Epoch(train) [60][1660/1879] lr: 2.0000e-02 eta: 1 day, 18:58:45 time: 0.9080 data_time: 0.0268 memory: 11089 grad_norm: 4.1334 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7380 loss: 1.7380 2022/08/02 18:27:35 - mmengine - INFO - Epoch(train) [60][1680/1879] lr: 2.0000e-02 eta: 1 day, 18:58:26 time: 0.9021 data_time: 0.0232 memory: 11089 grad_norm: 4.0871 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9483 loss: 1.9483 2022/08/02 18:27:53 - mmengine - INFO - Epoch(train) [60][1700/1879] lr: 2.0000e-02 eta: 1 day, 18:58:08 time: 0.9190 data_time: 0.0269 memory: 11089 grad_norm: 4.1349 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0454 loss: 2.0454 2022/08/02 18:28:12 - mmengine - INFO - Epoch(train) [60][1720/1879] lr: 2.0000e-02 eta: 1 day, 18:57:50 time: 0.9116 data_time: 0.0280 memory: 11089 grad_norm: 4.1684 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8703 loss: 1.8703 2022/08/02 18:28:30 - mmengine - INFO - Epoch(train) [60][1740/1879] lr: 2.0000e-02 eta: 1 day, 18:57:31 time: 0.9090 data_time: 0.0255 memory: 11089 grad_norm: 4.1603 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.0758 loss: 2.0758 2022/08/02 18:28:48 - mmengine - INFO - Epoch(train) [60][1760/1879] lr: 2.0000e-02 eta: 1 day, 18:57:13 time: 0.9108 data_time: 0.0267 memory: 11089 grad_norm: 4.1209 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0114 loss: 2.0114 2022/08/02 18:29:06 - mmengine - INFO - Epoch(train) [60][1780/1879] lr: 2.0000e-02 eta: 1 day, 18:56:55 time: 0.9094 data_time: 0.0262 memory: 11089 grad_norm: 4.0450 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9862 loss: 1.9862 2022/08/02 18:29:24 - mmengine - INFO - Epoch(train) [60][1800/1879] lr: 2.0000e-02 eta: 1 day, 18:56:36 time: 0.9051 data_time: 0.0223 memory: 11089 grad_norm: 4.2466 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0366 loss: 2.0366 2022/08/02 18:29:43 - mmengine - INFO - Epoch(train) [60][1820/1879] lr: 2.0000e-02 eta: 1 day, 18:56:18 time: 0.9243 data_time: 0.0262 memory: 11089 grad_norm: 4.1059 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8766 loss: 1.8766 2022/08/02 18:30:01 - mmengine - INFO - Epoch(train) [60][1840/1879] lr: 2.0000e-02 eta: 1 day, 18:56:00 time: 0.9079 data_time: 0.0298 memory: 11089 grad_norm: 4.1074 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0817 loss: 2.0817 2022/08/02 18:30:19 - mmengine - INFO - Epoch(train) [60][1860/1879] lr: 2.0000e-02 eta: 1 day, 18:55:41 time: 0.9003 data_time: 0.0278 memory: 11089 grad_norm: 4.0093 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.8638 loss: 1.8638 2022/08/02 18:30:36 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 18:30:36 - mmengine - INFO - Epoch(train) [60][1879/1879] lr: 2.0000e-02 eta: 1 day, 18:55:41 time: 0.8792 data_time: 0.0222 memory: 11089 grad_norm: 4.1727 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 1.9862 loss: 1.9862 2022/08/02 18:30:36 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/08/02 18:30:50 - mmengine - INFO - Epoch(val) [60][20/155] eta: 0:00:58 time: 0.4333 data_time: 0.1189 memory: 1950 2022/08/02 18:30:57 - mmengine - INFO - Epoch(val) [60][40/155] eta: 0:00:37 time: 0.3298 data_time: 0.0106 memory: 1950 2022/08/02 18:31:03 - mmengine - INFO - Epoch(val) [60][60/155] eta: 0:00:30 time: 0.3260 data_time: 0.0116 memory: 1950 2022/08/02 18:31:10 - mmengine - INFO - Epoch(val) [60][80/155] eta: 0:00:24 time: 0.3286 data_time: 0.0142 memory: 1950 2022/08/02 18:31:17 - mmengine - INFO - Epoch(val) [60][100/155] eta: 0:00:18 time: 0.3323 data_time: 0.0131 memory: 1950 2022/08/02 18:31:24 - mmengine - INFO - Epoch(val) [60][120/155] eta: 0:00:13 time: 0.3775 data_time: 0.0103 memory: 1950 2022/08/02 18:31:32 - mmengine - INFO - Epoch(val) [60][140/155] eta: 0:00:05 time: 0.3953 data_time: 0.0124 memory: 1950 2022/08/02 18:31:39 - mmengine - INFO - Epoch(val) [60][155/155] acc/top1: 0.6101 acc/top5: 0.8339 acc/mean1: 0.6100 2022/08/02 18:31:59 - mmengine - INFO - Epoch(train) [61][20/1879] lr: 2.0000e-02 eta: 1 day, 18:54:42 time: 0.9972 data_time: 0.1263 memory: 11089 grad_norm: 4.1094 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8234 loss: 1.8234 2022/08/02 18:32:17 - mmengine - INFO - Epoch(train) [61][40/1879] lr: 2.0000e-02 eta: 1 day, 18:54:24 time: 0.9209 data_time: 0.0254 memory: 11089 grad_norm: 4.0516 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9636 loss: 1.9636 2022/08/02 18:32:36 - mmengine - INFO - Epoch(train) [61][60/1879] lr: 2.0000e-02 eta: 1 day, 18:54:05 time: 0.9112 data_time: 0.0239 memory: 11089 grad_norm: 4.1035 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0185 loss: 2.0185 2022/08/02 18:32:54 - mmengine - INFO - Epoch(train) [61][80/1879] lr: 2.0000e-02 eta: 1 day, 18:53:47 time: 0.9202 data_time: 0.0273 memory: 11089 grad_norm: 4.1675 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9829 loss: 1.9829 2022/08/02 18:33:13 - mmengine - INFO - Epoch(train) [61][100/1879] lr: 2.0000e-02 eta: 1 day, 18:53:29 time: 0.9270 data_time: 0.0301 memory: 11089 grad_norm: 3.9908 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6988 loss: 1.6988 2022/08/02 18:33:31 - mmengine - INFO - Epoch(train) [61][120/1879] lr: 2.0000e-02 eta: 1 day, 18:53:11 time: 0.9094 data_time: 0.0233 memory: 11089 grad_norm: 3.9861 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8773 loss: 1.8773 2022/08/02 18:33:49 - mmengine - INFO - Epoch(train) [61][140/1879] lr: 2.0000e-02 eta: 1 day, 18:52:53 time: 0.9215 data_time: 0.0300 memory: 11089 grad_norm: 4.0444 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8507 loss: 1.8507 2022/08/02 18:34:08 - mmengine - INFO - Epoch(train) [61][160/1879] lr: 2.0000e-02 eta: 1 day, 18:52:35 time: 0.9223 data_time: 0.0271 memory: 11089 grad_norm: 4.0223 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0642 loss: 2.0642 2022/08/02 18:34:26 - mmengine - INFO - Epoch(train) [61][180/1879] lr: 2.0000e-02 eta: 1 day, 18:52:16 time: 0.8984 data_time: 0.0252 memory: 11089 grad_norm: 4.1042 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8372 loss: 1.8372 2022/08/02 18:34:44 - mmengine - INFO - Epoch(train) [61][200/1879] lr: 2.0000e-02 eta: 1 day, 18:51:58 time: 0.9272 data_time: 0.0302 memory: 11089 grad_norm: 4.0611 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9660 loss: 1.9660 2022/08/02 18:35:02 - mmengine - INFO - Epoch(train) [61][220/1879] lr: 2.0000e-02 eta: 1 day, 18:51:40 time: 0.9042 data_time: 0.0244 memory: 11089 grad_norm: 4.0129 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9019 loss: 1.9019 2022/08/02 18:35:20 - mmengine - INFO - Epoch(train) [61][240/1879] lr: 2.0000e-02 eta: 1 day, 18:51:21 time: 0.9037 data_time: 0.0223 memory: 11089 grad_norm: 4.2572 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0059 loss: 2.0059 2022/08/02 18:35:39 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 18:35:39 - mmengine - INFO - Epoch(train) [61][260/1879] lr: 2.0000e-02 eta: 1 day, 18:51:03 time: 0.9111 data_time: 0.0327 memory: 11089 grad_norm: 4.1778 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0651 loss: 2.0651 2022/08/02 18:35:57 - mmengine - INFO - Epoch(train) [61][280/1879] lr: 2.0000e-02 eta: 1 day, 18:50:45 time: 0.9222 data_time: 0.0263 memory: 11089 grad_norm: 4.1607 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7325 loss: 1.7325 2022/08/02 18:36:16 - mmengine - INFO - Epoch(train) [61][300/1879] lr: 2.0000e-02 eta: 1 day, 18:50:27 time: 0.9273 data_time: 0.0267 memory: 11089 grad_norm: 4.1139 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8668 loss: 1.8668 2022/08/02 18:36:34 - mmengine - INFO - Epoch(train) [61][320/1879] lr: 2.0000e-02 eta: 1 day, 18:50:09 time: 0.9249 data_time: 0.0244 memory: 11089 grad_norm: 4.0952 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9880 loss: 1.9880 2022/08/02 18:36:53 - mmengine - INFO - Epoch(train) [61][340/1879] lr: 2.0000e-02 eta: 1 day, 18:49:51 time: 0.9244 data_time: 0.0297 memory: 11089 grad_norm: 4.1102 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0380 loss: 2.0380 2022/08/02 18:37:11 - mmengine - INFO - Epoch(train) [61][360/1879] lr: 2.0000e-02 eta: 1 day, 18:49:33 time: 0.9182 data_time: 0.0290 memory: 11089 grad_norm: 4.2934 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0673 loss: 2.0673 2022/08/02 18:37:29 - mmengine - INFO - Epoch(train) [61][380/1879] lr: 2.0000e-02 eta: 1 day, 18:49:15 time: 0.9193 data_time: 0.0216 memory: 11089 grad_norm: 4.0610 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0522 loss: 2.0522 2022/08/02 18:37:47 - mmengine - INFO - Epoch(train) [61][400/1879] lr: 2.0000e-02 eta: 1 day, 18:48:56 time: 0.9048 data_time: 0.0224 memory: 11089 grad_norm: 4.0922 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9730 loss: 1.9730 2022/08/02 18:38:06 - mmengine - INFO - Epoch(train) [61][420/1879] lr: 2.0000e-02 eta: 1 day, 18:48:38 time: 0.9268 data_time: 0.0235 memory: 11089 grad_norm: 4.1458 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0847 loss: 2.0847 2022/08/02 18:38:24 - mmengine - INFO - Epoch(train) [61][440/1879] lr: 2.0000e-02 eta: 1 day, 18:48:20 time: 0.9033 data_time: 0.0262 memory: 11089 grad_norm: 4.0700 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9669 loss: 1.9669 2022/08/02 18:38:42 - mmengine - INFO - Epoch(train) [61][460/1879] lr: 2.0000e-02 eta: 1 day, 18:48:01 time: 0.9031 data_time: 0.0229 memory: 11089 grad_norm: 4.1042 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1832 loss: 2.1832 2022/08/02 18:39:00 - mmengine - INFO - Epoch(train) [61][480/1879] lr: 2.0000e-02 eta: 1 day, 18:47:43 time: 0.9096 data_time: 0.0310 memory: 11089 grad_norm: 3.9929 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8467 loss: 1.8467 2022/08/02 18:39:18 - mmengine - INFO - Epoch(train) [61][500/1879] lr: 2.0000e-02 eta: 1 day, 18:47:24 time: 0.9050 data_time: 0.0225 memory: 11089 grad_norm: 4.0864 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9184 loss: 1.9184 2022/08/02 18:39:36 - mmengine - INFO - Epoch(train) [61][520/1879] lr: 2.0000e-02 eta: 1 day, 18:47:06 time: 0.9035 data_time: 0.0259 memory: 11089 grad_norm: 4.0771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8730 loss: 1.8730 2022/08/02 18:39:55 - mmengine - INFO - Epoch(train) [61][540/1879] lr: 2.0000e-02 eta: 1 day, 18:46:47 time: 0.9105 data_time: 0.0256 memory: 11089 grad_norm: 4.2831 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8401 loss: 1.8401 2022/08/02 18:40:13 - mmengine - INFO - Epoch(train) [61][560/1879] lr: 2.0000e-02 eta: 1 day, 18:46:29 time: 0.9105 data_time: 0.0275 memory: 11089 grad_norm: 4.2652 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8062 loss: 1.8062 2022/08/02 18:40:31 - mmengine - INFO - Epoch(train) [61][580/1879] lr: 2.0000e-02 eta: 1 day, 18:46:11 time: 0.9112 data_time: 0.0248 memory: 11089 grad_norm: 4.0963 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9675 loss: 1.9675 2022/08/02 18:40:50 - mmengine - INFO - Epoch(train) [61][600/1879] lr: 2.0000e-02 eta: 1 day, 18:45:53 time: 0.9301 data_time: 0.0256 memory: 11089 grad_norm: 4.0137 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8601 loss: 1.8601 2022/08/02 18:41:08 - mmengine - INFO - Epoch(train) [61][620/1879] lr: 2.0000e-02 eta: 1 day, 18:45:35 time: 0.9145 data_time: 0.0249 memory: 11089 grad_norm: 4.0604 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0033 loss: 2.0033 2022/08/02 18:41:26 - mmengine - INFO - Epoch(train) [61][640/1879] lr: 2.0000e-02 eta: 1 day, 18:45:16 time: 0.9070 data_time: 0.0280 memory: 11089 grad_norm: 4.1157 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0420 loss: 2.0420 2022/08/02 18:41:44 - mmengine - INFO - Epoch(train) [61][660/1879] lr: 2.0000e-02 eta: 1 day, 18:44:58 time: 0.8989 data_time: 0.0233 memory: 11089 grad_norm: 4.0979 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1243 loss: 2.1243 2022/08/02 18:42:03 - mmengine - INFO - Epoch(train) [61][680/1879] lr: 2.0000e-02 eta: 1 day, 18:44:40 time: 0.9293 data_time: 0.0281 memory: 11089 grad_norm: 4.1173 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8347 loss: 1.8347 2022/08/02 18:42:21 - mmengine - INFO - Epoch(train) [61][700/1879] lr: 2.0000e-02 eta: 1 day, 18:44:22 time: 0.9173 data_time: 0.0317 memory: 11089 grad_norm: 4.0900 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0681 loss: 2.0681 2022/08/02 18:42:40 - mmengine - INFO - Epoch(train) [61][720/1879] lr: 2.0000e-02 eta: 1 day, 18:44:04 time: 0.9336 data_time: 0.0272 memory: 11089 grad_norm: 4.0739 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9310 loss: 1.9310 2022/08/02 18:42:58 - mmengine - INFO - Epoch(train) [61][740/1879] lr: 2.0000e-02 eta: 1 day, 18:43:46 time: 0.9177 data_time: 0.0300 memory: 11089 grad_norm: 4.0121 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0541 loss: 2.0541 2022/08/02 18:43:17 - mmengine - INFO - Epoch(train) [61][760/1879] lr: 2.0000e-02 eta: 1 day, 18:43:28 time: 0.9262 data_time: 0.0331 memory: 11089 grad_norm: 4.0329 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8070 loss: 1.8070 2022/08/02 18:43:35 - mmengine - INFO - Epoch(train) [61][780/1879] lr: 2.0000e-02 eta: 1 day, 18:43:10 time: 0.9187 data_time: 0.0288 memory: 11089 grad_norm: 4.0878 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9840 loss: 1.9840 2022/08/02 18:43:53 - mmengine - INFO - Epoch(train) [61][800/1879] lr: 2.0000e-02 eta: 1 day, 18:42:51 time: 0.9077 data_time: 0.0237 memory: 11089 grad_norm: 4.1021 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6780 loss: 1.6780 2022/08/02 18:44:11 - mmengine - INFO - Epoch(train) [61][820/1879] lr: 2.0000e-02 eta: 1 day, 18:42:33 time: 0.9143 data_time: 0.0261 memory: 11089 grad_norm: 4.0754 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8513 loss: 1.8513 2022/08/02 18:44:30 - mmengine - INFO - Epoch(train) [61][840/1879] lr: 2.0000e-02 eta: 1 day, 18:42:14 time: 0.9061 data_time: 0.0278 memory: 11089 grad_norm: 4.1982 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9840 loss: 1.9840 2022/08/02 18:44:48 - mmengine - INFO - Epoch(train) [61][860/1879] lr: 2.0000e-02 eta: 1 day, 18:41:56 time: 0.9113 data_time: 0.0255 memory: 11089 grad_norm: 4.0826 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8801 loss: 1.8801 2022/08/02 18:45:06 - mmengine - INFO - Epoch(train) [61][880/1879] lr: 2.0000e-02 eta: 1 day, 18:41:38 time: 0.9127 data_time: 0.0241 memory: 11089 grad_norm: 4.1275 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3101 loss: 2.3101 2022/08/02 18:45:24 - mmengine - INFO - Epoch(train) [61][900/1879] lr: 2.0000e-02 eta: 1 day, 18:41:19 time: 0.9039 data_time: 0.0207 memory: 11089 grad_norm: 4.2521 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9418 loss: 1.9418 2022/08/02 18:45:43 - mmengine - INFO - Epoch(train) [61][920/1879] lr: 2.0000e-02 eta: 1 day, 18:41:01 time: 0.9169 data_time: 0.0359 memory: 11089 grad_norm: 3.9798 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7779 loss: 1.7779 2022/08/02 18:46:00 - mmengine - INFO - Epoch(train) [61][940/1879] lr: 2.0000e-02 eta: 1 day, 18:40:42 time: 0.8731 data_time: 0.0206 memory: 11089 grad_norm: 4.0358 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9249 loss: 1.9249 2022/08/02 18:46:18 - mmengine - INFO - Epoch(train) [61][960/1879] lr: 2.0000e-02 eta: 1 day, 18:40:23 time: 0.9148 data_time: 0.0227 memory: 11089 grad_norm: 4.0948 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 1.9937 loss: 1.9937 2022/08/02 18:46:37 - mmengine - INFO - Epoch(train) [61][980/1879] lr: 2.0000e-02 eta: 1 day, 18:40:05 time: 0.9176 data_time: 0.0279 memory: 11089 grad_norm: 3.9842 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9461 loss: 1.9461 2022/08/02 18:46:55 - mmengine - INFO - Epoch(train) [61][1000/1879] lr: 2.0000e-02 eta: 1 day, 18:39:47 time: 0.9035 data_time: 0.0246 memory: 11089 grad_norm: 4.1412 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9524 loss: 1.9524 2022/08/02 18:47:13 - mmengine - INFO - Epoch(train) [61][1020/1879] lr: 2.0000e-02 eta: 1 day, 18:39:28 time: 0.9082 data_time: 0.0225 memory: 11089 grad_norm: 4.0255 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8993 loss: 1.8993 2022/08/02 18:47:31 - mmengine - INFO - Epoch(train) [61][1040/1879] lr: 2.0000e-02 eta: 1 day, 18:39:09 time: 0.8902 data_time: 0.0219 memory: 11089 grad_norm: 4.1122 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9251 loss: 1.9251 2022/08/02 18:47:49 - mmengine - INFO - Epoch(train) [61][1060/1879] lr: 2.0000e-02 eta: 1 day, 18:38:51 time: 0.9251 data_time: 0.0265 memory: 11089 grad_norm: 4.1369 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9579 loss: 1.9579 2022/08/02 18:48:07 - mmengine - INFO - Epoch(train) [61][1080/1879] lr: 2.0000e-02 eta: 1 day, 18:38:33 time: 0.9151 data_time: 0.0301 memory: 11089 grad_norm: 4.0183 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8400 loss: 1.8400 2022/08/02 18:48:26 - mmengine - INFO - Epoch(train) [61][1100/1879] lr: 2.0000e-02 eta: 1 day, 18:38:15 time: 0.9193 data_time: 0.0263 memory: 11089 grad_norm: 4.1740 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9728 loss: 1.9728 2022/08/02 18:48:44 - mmengine - INFO - Epoch(train) [61][1120/1879] lr: 2.0000e-02 eta: 1 day, 18:37:56 time: 0.9026 data_time: 0.0291 memory: 11089 grad_norm: 4.1195 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9756 loss: 1.9756 2022/08/02 18:49:02 - mmengine - INFO - Epoch(train) [61][1140/1879] lr: 2.0000e-02 eta: 1 day, 18:37:38 time: 0.9228 data_time: 0.0209 memory: 11089 grad_norm: 4.0343 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9103 loss: 1.9103 2022/08/02 18:49:21 - mmengine - INFO - Epoch(train) [61][1160/1879] lr: 2.0000e-02 eta: 1 day, 18:37:20 time: 0.9072 data_time: 0.0254 memory: 11089 grad_norm: 4.0797 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9190 loss: 1.9190 2022/08/02 18:49:39 - mmengine - INFO - Epoch(train) [61][1180/1879] lr: 2.0000e-02 eta: 1 day, 18:37:02 time: 0.9194 data_time: 0.0253 memory: 11089 grad_norm: 4.1685 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9004 loss: 1.9004 2022/08/02 18:49:57 - mmengine - INFO - Epoch(train) [61][1200/1879] lr: 2.0000e-02 eta: 1 day, 18:36:43 time: 0.9049 data_time: 0.0258 memory: 11089 grad_norm: 4.1375 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1296 loss: 2.1296 2022/08/02 18:50:15 - mmengine - INFO - Epoch(train) [61][1220/1879] lr: 2.0000e-02 eta: 1 day, 18:36:25 time: 0.9024 data_time: 0.0293 memory: 11089 grad_norm: 4.1962 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0652 loss: 2.0652 2022/08/02 18:50:33 - mmengine - INFO - Epoch(train) [61][1240/1879] lr: 2.0000e-02 eta: 1 day, 18:36:07 time: 0.9193 data_time: 0.0260 memory: 11089 grad_norm: 4.0110 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9327 loss: 1.9327 2022/08/02 18:50:52 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 18:50:52 - mmengine - INFO - Epoch(train) [61][1260/1879] lr: 2.0000e-02 eta: 1 day, 18:35:48 time: 0.9012 data_time: 0.0262 memory: 11089 grad_norm: 3.9715 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9498 loss: 1.9498 2022/08/02 18:51:10 - mmengine - INFO - Epoch(train) [61][1280/1879] lr: 2.0000e-02 eta: 1 day, 18:35:30 time: 0.9199 data_time: 0.0289 memory: 11089 grad_norm: 4.0848 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9855 loss: 1.9855 2022/08/02 18:51:28 - mmengine - INFO - Epoch(train) [61][1300/1879] lr: 2.0000e-02 eta: 1 day, 18:35:12 time: 0.9176 data_time: 0.0256 memory: 11089 grad_norm: 4.0730 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9714 loss: 1.9714 2022/08/02 18:51:47 - mmengine - INFO - Epoch(train) [61][1320/1879] lr: 2.0000e-02 eta: 1 day, 18:34:54 time: 0.9302 data_time: 0.0317 memory: 11089 grad_norm: 4.2905 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8396 loss: 1.8396 2022/08/02 18:52:05 - mmengine - INFO - Epoch(train) [61][1340/1879] lr: 2.0000e-02 eta: 1 day, 18:34:36 time: 0.9148 data_time: 0.0286 memory: 11089 grad_norm: 4.1747 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9558 loss: 1.9558 2022/08/02 18:52:24 - mmengine - INFO - Epoch(train) [61][1360/1879] lr: 2.0000e-02 eta: 1 day, 18:34:18 time: 0.9379 data_time: 0.0307 memory: 11089 grad_norm: 4.0375 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0056 loss: 2.0056 2022/08/02 18:52:42 - mmengine - INFO - Epoch(train) [61][1380/1879] lr: 2.0000e-02 eta: 1 day, 18:34:00 time: 0.9106 data_time: 0.0260 memory: 11089 grad_norm: 4.0545 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1150 loss: 2.1150 2022/08/02 18:53:00 - mmengine - INFO - Epoch(train) [61][1400/1879] lr: 2.0000e-02 eta: 1 day, 18:33:41 time: 0.9036 data_time: 0.0185 memory: 11089 grad_norm: 4.0449 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9022 loss: 1.9022 2022/08/02 18:53:18 - mmengine - INFO - Epoch(train) [61][1420/1879] lr: 2.0000e-02 eta: 1 day, 18:33:23 time: 0.9122 data_time: 0.0250 memory: 11089 grad_norm: 4.0681 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7633 loss: 1.7633 2022/08/02 18:53:37 - mmengine - INFO - Epoch(train) [61][1440/1879] lr: 2.0000e-02 eta: 1 day, 18:33:05 time: 0.9186 data_time: 0.0293 memory: 11089 grad_norm: 4.1562 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0000 loss: 2.0000 2022/08/02 18:53:55 - mmengine - INFO - Epoch(train) [61][1460/1879] lr: 2.0000e-02 eta: 1 day, 18:32:47 time: 0.9129 data_time: 0.0257 memory: 11089 grad_norm: 4.2030 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1731 loss: 2.1731 2022/08/02 18:54:13 - mmengine - INFO - Epoch(train) [61][1480/1879] lr: 2.0000e-02 eta: 1 day, 18:32:28 time: 0.9054 data_time: 0.0301 memory: 11089 grad_norm: 4.1648 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8316 loss: 1.8316 2022/08/02 18:54:32 - mmengine - INFO - Epoch(train) [61][1500/1879] lr: 2.0000e-02 eta: 1 day, 18:32:10 time: 0.9197 data_time: 0.0274 memory: 11089 grad_norm: 4.0320 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9578 loss: 1.9578 2022/08/02 18:54:50 - mmengine - INFO - Epoch(train) [61][1520/1879] lr: 2.0000e-02 eta: 1 day, 18:31:52 time: 0.9367 data_time: 0.0355 memory: 11089 grad_norm: 4.2126 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1134 loss: 2.1134 2022/08/02 18:55:09 - mmengine - INFO - Epoch(train) [61][1540/1879] lr: 2.0000e-02 eta: 1 day, 18:31:34 time: 0.9086 data_time: 0.0274 memory: 11089 grad_norm: 4.1751 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7442 loss: 1.7442 2022/08/02 18:55:27 - mmengine - INFO - Epoch(train) [61][1560/1879] lr: 2.0000e-02 eta: 1 day, 18:31:16 time: 0.9319 data_time: 0.0349 memory: 11089 grad_norm: 4.2647 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1774 loss: 2.1774 2022/08/02 18:55:46 - mmengine - INFO - Epoch(train) [61][1580/1879] lr: 2.0000e-02 eta: 1 day, 18:30:58 time: 0.9266 data_time: 0.0239 memory: 11089 grad_norm: 4.1028 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8851 loss: 1.8851 2022/08/02 18:56:04 - mmengine - INFO - Epoch(train) [61][1600/1879] lr: 2.0000e-02 eta: 1 day, 18:30:40 time: 0.9188 data_time: 0.0269 memory: 11089 grad_norm: 4.1719 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0107 loss: 2.0107 2022/08/02 18:56:22 - mmengine - INFO - Epoch(train) [61][1620/1879] lr: 2.0000e-02 eta: 1 day, 18:30:22 time: 0.9067 data_time: 0.0241 memory: 11089 grad_norm: 4.0866 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0793 loss: 2.0793 2022/08/02 18:56:40 - mmengine - INFO - Epoch(train) [61][1640/1879] lr: 2.0000e-02 eta: 1 day, 18:30:03 time: 0.9040 data_time: 0.0292 memory: 11089 grad_norm: 4.1304 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0258 loss: 2.0258 2022/08/02 18:56:59 - mmengine - INFO - Epoch(train) [61][1660/1879] lr: 2.0000e-02 eta: 1 day, 18:29:45 time: 0.9155 data_time: 0.0274 memory: 11089 grad_norm: 4.0220 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0014 loss: 2.0014 2022/08/02 18:57:17 - mmengine - INFO - Epoch(train) [61][1680/1879] lr: 2.0000e-02 eta: 1 day, 18:29:26 time: 0.9069 data_time: 0.0274 memory: 11089 grad_norm: 4.2233 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8708 loss: 1.8708 2022/08/02 18:57:35 - mmengine - INFO - Epoch(train) [61][1700/1879] lr: 2.0000e-02 eta: 1 day, 18:29:08 time: 0.9064 data_time: 0.0214 memory: 11089 grad_norm: 4.0948 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3083 loss: 2.3083 2022/08/02 18:57:53 - mmengine - INFO - Epoch(train) [61][1720/1879] lr: 2.0000e-02 eta: 1 day, 18:28:49 time: 0.9071 data_time: 0.0286 memory: 11089 grad_norm: 4.0673 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0323 loss: 2.0323 2022/08/02 18:58:11 - mmengine - INFO - Epoch(train) [61][1740/1879] lr: 2.0000e-02 eta: 1 day, 18:28:31 time: 0.9016 data_time: 0.0249 memory: 11089 grad_norm: 4.0439 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8013 loss: 1.8013 2022/08/02 18:58:29 - mmengine - INFO - Epoch(train) [61][1760/1879] lr: 2.0000e-02 eta: 1 day, 18:28:12 time: 0.9102 data_time: 0.0279 memory: 11089 grad_norm: 4.0902 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9472 loss: 1.9472 2022/08/02 18:58:48 - mmengine - INFO - Epoch(train) [61][1780/1879] lr: 2.0000e-02 eta: 1 day, 18:27:55 time: 0.9240 data_time: 0.0268 memory: 11089 grad_norm: 4.2065 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0430 loss: 2.0430 2022/08/02 18:59:06 - mmengine - INFO - Epoch(train) [61][1800/1879] lr: 2.0000e-02 eta: 1 day, 18:27:36 time: 0.9004 data_time: 0.0228 memory: 11089 grad_norm: 4.0768 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8049 loss: 1.8049 2022/08/02 18:59:24 - mmengine - INFO - Epoch(train) [61][1820/1879] lr: 2.0000e-02 eta: 1 day, 18:27:18 time: 0.9198 data_time: 0.0243 memory: 11089 grad_norm: 4.2115 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.9340 loss: 1.9340 2022/08/02 18:59:42 - mmengine - INFO - Epoch(train) [61][1840/1879] lr: 2.0000e-02 eta: 1 day, 18:26:59 time: 0.9086 data_time: 0.0223 memory: 11089 grad_norm: 4.0693 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0099 loss: 2.0099 2022/08/02 19:00:01 - mmengine - INFO - Epoch(train) [61][1860/1879] lr: 2.0000e-02 eta: 1 day, 18:26:41 time: 0.9267 data_time: 0.0295 memory: 11089 grad_norm: 4.0536 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1029 loss: 2.1029 2022/08/02 19:00:18 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 19:00:18 - mmengine - INFO - Epoch(train) [61][1879/1879] lr: 2.0000e-02 eta: 1 day, 18:26:41 time: 0.9135 data_time: 0.0243 memory: 11089 grad_norm: 4.2096 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.8458 loss: 1.8458 2022/08/02 19:00:39 - mmengine - INFO - Epoch(train) [62][20/1879] lr: 2.0000e-02 eta: 1 day, 18:25:44 time: 1.0180 data_time: 0.1516 memory: 11089 grad_norm: 4.1327 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8094 loss: 1.8094 2022/08/02 19:00:57 - mmengine - INFO - Epoch(train) [62][40/1879] lr: 2.0000e-02 eta: 1 day, 18:25:25 time: 0.9073 data_time: 0.0240 memory: 11089 grad_norm: 4.2409 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1216 loss: 2.1216 2022/08/02 19:01:15 - mmengine - INFO - Epoch(train) [62][60/1879] lr: 2.0000e-02 eta: 1 day, 18:25:07 time: 0.9040 data_time: 0.0240 memory: 11089 grad_norm: 4.0474 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9695 loss: 1.9695 2022/08/02 19:01:33 - mmengine - INFO - Epoch(train) [62][80/1879] lr: 2.0000e-02 eta: 1 day, 18:24:48 time: 0.9043 data_time: 0.0231 memory: 11089 grad_norm: 4.0319 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9816 loss: 1.9816 2022/08/02 19:01:51 - mmengine - INFO - Epoch(train) [62][100/1879] lr: 2.0000e-02 eta: 1 day, 18:24:30 time: 0.9132 data_time: 0.0221 memory: 11089 grad_norm: 4.0910 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0389 loss: 2.0389 2022/08/02 19:02:10 - mmengine - INFO - Epoch(train) [62][120/1879] lr: 2.0000e-02 eta: 1 day, 18:24:12 time: 0.9321 data_time: 0.0292 memory: 11089 grad_norm: 4.2305 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0958 loss: 2.0958 2022/08/02 19:02:28 - mmengine - INFO - Epoch(train) [62][140/1879] lr: 2.0000e-02 eta: 1 day, 18:23:54 time: 0.9230 data_time: 0.0268 memory: 11089 grad_norm: 4.1153 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9440 loss: 1.9440 2022/08/02 19:02:47 - mmengine - INFO - Epoch(train) [62][160/1879] lr: 2.0000e-02 eta: 1 day, 18:23:36 time: 0.9334 data_time: 0.0332 memory: 11089 grad_norm: 4.1219 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0152 loss: 2.0152 2022/08/02 19:03:05 - mmengine - INFO - Epoch(train) [62][180/1879] lr: 2.0000e-02 eta: 1 day, 18:23:18 time: 0.9098 data_time: 0.0271 memory: 11089 grad_norm: 4.1309 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9972 loss: 1.9972 2022/08/02 19:03:23 - mmengine - INFO - Epoch(train) [62][200/1879] lr: 2.0000e-02 eta: 1 day, 18:22:59 time: 0.9045 data_time: 0.0178 memory: 11089 grad_norm: 4.1742 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0278 loss: 2.0278 2022/08/02 19:03:41 - mmengine - INFO - Epoch(train) [62][220/1879] lr: 2.0000e-02 eta: 1 day, 18:22:41 time: 0.9026 data_time: 0.0248 memory: 11089 grad_norm: 4.1659 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8650 loss: 1.8650 2022/08/02 19:04:00 - mmengine - INFO - Epoch(train) [62][240/1879] lr: 2.0000e-02 eta: 1 day, 18:22:22 time: 0.9068 data_time: 0.0300 memory: 11089 grad_norm: 4.0721 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0615 loss: 2.0615 2022/08/02 19:04:18 - mmengine - INFO - Epoch(train) [62][260/1879] lr: 2.0000e-02 eta: 1 day, 18:22:04 time: 0.9136 data_time: 0.0291 memory: 11089 grad_norm: 4.0285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8607 loss: 1.8607 2022/08/02 19:04:36 - mmengine - INFO - Epoch(train) [62][280/1879] lr: 2.0000e-02 eta: 1 day, 18:21:46 time: 0.9048 data_time: 0.0306 memory: 11089 grad_norm: 4.1412 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7596 loss: 1.7596 2022/08/02 19:04:54 - mmengine - INFO - Epoch(train) [62][300/1879] lr: 2.0000e-02 eta: 1 day, 18:21:27 time: 0.9116 data_time: 0.0237 memory: 11089 grad_norm: 4.1373 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0169 loss: 2.0169 2022/08/02 19:05:13 - mmengine - INFO - Epoch(train) [62][320/1879] lr: 2.0000e-02 eta: 1 day, 18:21:10 time: 0.9326 data_time: 0.0281 memory: 11089 grad_norm: 4.0473 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7308 loss: 1.7308 2022/08/02 19:05:31 - mmengine - INFO - Epoch(train) [62][340/1879] lr: 2.0000e-02 eta: 1 day, 18:20:51 time: 0.9113 data_time: 0.0255 memory: 11089 grad_norm: 4.1365 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0747 loss: 2.0747 2022/08/02 19:05:49 - mmengine - INFO - Epoch(train) [62][360/1879] lr: 2.0000e-02 eta: 1 day, 18:20:33 time: 0.9146 data_time: 0.0300 memory: 11089 grad_norm: 4.1156 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0932 loss: 2.0932 2022/08/02 19:06:08 - mmengine - INFO - Epoch(train) [62][380/1879] lr: 2.0000e-02 eta: 1 day, 18:20:15 time: 0.9082 data_time: 0.0262 memory: 11089 grad_norm: 4.3065 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9456 loss: 1.9456 2022/08/02 19:06:09 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 19:06:26 - mmengine - INFO - Epoch(train) [62][400/1879] lr: 2.0000e-02 eta: 1 day, 18:19:56 time: 0.9053 data_time: 0.0287 memory: 11089 grad_norm: 4.1790 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.9272 loss: 1.9272 2022/08/02 19:06:44 - mmengine - INFO - Epoch(train) [62][420/1879] lr: 2.0000e-02 eta: 1 day, 18:19:38 time: 0.9074 data_time: 0.0231 memory: 11089 grad_norm: 4.0786 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8044 loss: 1.8044 2022/08/02 19:07:02 - mmengine - INFO - Epoch(train) [62][440/1879] lr: 2.0000e-02 eta: 1 day, 18:19:20 time: 0.9323 data_time: 0.0284 memory: 11089 grad_norm: 4.0817 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0114 loss: 2.0114 2022/08/02 19:07:21 - mmengine - INFO - Epoch(train) [62][460/1879] lr: 2.0000e-02 eta: 1 day, 18:19:02 time: 0.9117 data_time: 0.0255 memory: 11089 grad_norm: 4.1112 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9927 loss: 1.9927 2022/08/02 19:07:39 - mmengine - INFO - Epoch(train) [62][480/1879] lr: 2.0000e-02 eta: 1 day, 18:18:44 time: 0.9266 data_time: 0.0371 memory: 11089 grad_norm: 4.1092 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0050 loss: 2.0050 2022/08/02 19:07:58 - mmengine - INFO - Epoch(train) [62][500/1879] lr: 2.0000e-02 eta: 1 day, 18:18:26 time: 0.9208 data_time: 0.0248 memory: 11089 grad_norm: 4.0429 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.1326 loss: 2.1326 2022/08/02 19:08:16 - mmengine - INFO - Epoch(train) [62][520/1879] lr: 2.0000e-02 eta: 1 day, 18:18:07 time: 0.9135 data_time: 0.0296 memory: 11089 grad_norm: 3.9638 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8614 loss: 1.8614 2022/08/02 19:08:34 - mmengine - INFO - Epoch(train) [62][540/1879] lr: 2.0000e-02 eta: 1 day, 18:17:49 time: 0.9037 data_time: 0.0269 memory: 11089 grad_norm: 4.1017 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9654 loss: 1.9654 2022/08/02 19:08:53 - mmengine - INFO - Epoch(train) [62][560/1879] lr: 2.0000e-02 eta: 1 day, 18:17:31 time: 0.9253 data_time: 0.0260 memory: 11089 grad_norm: 4.1033 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9311 loss: 1.9311 2022/08/02 19:09:11 - mmengine - INFO - Epoch(train) [62][580/1879] lr: 2.0000e-02 eta: 1 day, 18:17:13 time: 0.9161 data_time: 0.0292 memory: 11089 grad_norm: 4.0479 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9795 loss: 1.9795 2022/08/02 19:09:29 - mmengine - INFO - Epoch(train) [62][600/1879] lr: 2.0000e-02 eta: 1 day, 18:16:54 time: 0.9157 data_time: 0.0268 memory: 11089 grad_norm: 4.0354 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7947 loss: 1.7947 2022/08/02 19:09:48 - mmengine - INFO - Epoch(train) [62][620/1879] lr: 2.0000e-02 eta: 1 day, 18:16:36 time: 0.9208 data_time: 0.0257 memory: 11089 grad_norm: 4.1342 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9543 loss: 1.9543 2022/08/02 19:10:06 - mmengine - INFO - Epoch(train) [62][640/1879] lr: 2.0000e-02 eta: 1 day, 18:16:19 time: 0.9391 data_time: 0.0331 memory: 11089 grad_norm: 4.1997 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0304 loss: 2.0304 2022/08/02 19:10:25 - mmengine - INFO - Epoch(train) [62][660/1879] lr: 2.0000e-02 eta: 1 day, 18:16:01 time: 0.9230 data_time: 0.0290 memory: 11089 grad_norm: 4.1101 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7707 loss: 1.7707 2022/08/02 19:10:43 - mmengine - INFO - Epoch(train) [62][680/1879] lr: 2.0000e-02 eta: 1 day, 18:15:42 time: 0.9070 data_time: 0.0350 memory: 11089 grad_norm: 4.0388 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8553 loss: 1.8553 2022/08/02 19:11:01 - mmengine - INFO - Epoch(train) [62][700/1879] lr: 2.0000e-02 eta: 1 day, 18:15:24 time: 0.9078 data_time: 0.0245 memory: 11089 grad_norm: 4.1202 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.9149 loss: 1.9149 2022/08/02 19:11:19 - mmengine - INFO - Epoch(train) [62][720/1879] lr: 2.0000e-02 eta: 1 day, 18:15:06 time: 0.9113 data_time: 0.0285 memory: 11089 grad_norm: 4.1373 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8877 loss: 1.8877 2022/08/02 19:11:38 - mmengine - INFO - Epoch(train) [62][740/1879] lr: 2.0000e-02 eta: 1 day, 18:14:48 time: 0.9178 data_time: 0.0258 memory: 11089 grad_norm: 4.1210 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1127 loss: 2.1127 2022/08/02 19:11:56 - mmengine - INFO - Epoch(train) [62][760/1879] lr: 2.0000e-02 eta: 1 day, 18:14:29 time: 0.9190 data_time: 0.0257 memory: 11089 grad_norm: 4.1339 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0383 loss: 2.0383 2022/08/02 19:12:14 - mmengine - INFO - Epoch(train) [62][780/1879] lr: 2.0000e-02 eta: 1 day, 18:14:11 time: 0.8964 data_time: 0.0204 memory: 11089 grad_norm: 4.0560 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8584 loss: 1.8584 2022/08/02 19:12:32 - mmengine - INFO - Epoch(train) [62][800/1879] lr: 2.0000e-02 eta: 1 day, 18:13:52 time: 0.9177 data_time: 0.0288 memory: 11089 grad_norm: 4.0466 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9555 loss: 1.9555 2022/08/02 19:12:51 - mmengine - INFO - Epoch(train) [62][820/1879] lr: 2.0000e-02 eta: 1 day, 18:13:34 time: 0.9202 data_time: 0.0233 memory: 11089 grad_norm: 4.1007 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9164 loss: 1.9164 2022/08/02 19:13:09 - mmengine - INFO - Epoch(train) [62][840/1879] lr: 2.0000e-02 eta: 1 day, 18:13:16 time: 0.9076 data_time: 0.0285 memory: 11089 grad_norm: 4.0998 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7338 loss: 1.7338 2022/08/02 19:13:28 - mmengine - INFO - Epoch(train) [62][860/1879] lr: 2.0000e-02 eta: 1 day, 18:12:58 time: 0.9324 data_time: 0.0267 memory: 11089 grad_norm: 4.0894 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0016 loss: 2.0016 2022/08/02 19:13:46 - mmengine - INFO - Epoch(train) [62][880/1879] lr: 2.0000e-02 eta: 1 day, 18:12:40 time: 0.9234 data_time: 0.0284 memory: 11089 grad_norm: 4.1944 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0114 loss: 2.0114 2022/08/02 19:14:04 - mmengine - INFO - Epoch(train) [62][900/1879] lr: 2.0000e-02 eta: 1 day, 18:12:22 time: 0.9103 data_time: 0.0263 memory: 11089 grad_norm: 4.2582 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0131 loss: 2.0131 2022/08/02 19:14:22 - mmengine - INFO - Epoch(train) [62][920/1879] lr: 2.0000e-02 eta: 1 day, 18:12:04 time: 0.9105 data_time: 0.0219 memory: 11089 grad_norm: 4.1719 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9401 loss: 1.9401 2022/08/02 19:14:41 - mmengine - INFO - Epoch(train) [62][940/1879] lr: 2.0000e-02 eta: 1 day, 18:11:46 time: 0.9235 data_time: 0.0261 memory: 11089 grad_norm: 4.0241 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8320 loss: 1.8320 2022/08/02 19:14:59 - mmengine - INFO - Epoch(train) [62][960/1879] lr: 2.0000e-02 eta: 1 day, 18:11:27 time: 0.9003 data_time: 0.0227 memory: 11089 grad_norm: 4.0143 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8589 loss: 1.8589 2022/08/02 19:15:17 - mmengine - INFO - Epoch(train) [62][980/1879] lr: 2.0000e-02 eta: 1 day, 18:11:09 time: 0.9093 data_time: 0.0261 memory: 11089 grad_norm: 4.0823 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0177 loss: 2.0177 2022/08/02 19:15:35 - mmengine - INFO - Epoch(train) [62][1000/1879] lr: 2.0000e-02 eta: 1 day, 18:10:50 time: 0.9094 data_time: 0.0306 memory: 11089 grad_norm: 4.0587 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.1241 loss: 2.1241 2022/08/02 19:15:54 - mmengine - INFO - Epoch(train) [62][1020/1879] lr: 2.0000e-02 eta: 1 day, 18:10:32 time: 0.9150 data_time: 0.0256 memory: 11089 grad_norm: 4.1395 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0559 loss: 2.0559 2022/08/02 19:16:12 - mmengine - INFO - Epoch(train) [62][1040/1879] lr: 2.0000e-02 eta: 1 day, 18:10:14 time: 0.9143 data_time: 0.0220 memory: 11089 grad_norm: 4.1118 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0210 loss: 2.0210 2022/08/02 19:16:30 - mmengine - INFO - Epoch(train) [62][1060/1879] lr: 2.0000e-02 eta: 1 day, 18:09:55 time: 0.9146 data_time: 0.0283 memory: 11089 grad_norm: 4.1574 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8400 loss: 1.8400 2022/08/02 19:16:48 - mmengine - INFO - Epoch(train) [62][1080/1879] lr: 2.0000e-02 eta: 1 day, 18:09:37 time: 0.9128 data_time: 0.0293 memory: 11089 grad_norm: 4.0811 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9156 loss: 1.9156 2022/08/02 19:17:06 - mmengine - INFO - Epoch(train) [62][1100/1879] lr: 2.0000e-02 eta: 1 day, 18:09:18 time: 0.8994 data_time: 0.0249 memory: 11089 grad_norm: 4.1374 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7162 loss: 1.7162 2022/08/02 19:17:25 - mmengine - INFO - Epoch(train) [62][1120/1879] lr: 2.0000e-02 eta: 1 day, 18:09:00 time: 0.9075 data_time: 0.0242 memory: 11089 grad_norm: 4.0677 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7925 loss: 1.7925 2022/08/02 19:17:43 - mmengine - INFO - Epoch(train) [62][1140/1879] lr: 2.0000e-02 eta: 1 day, 18:08:42 time: 0.9132 data_time: 0.0232 memory: 11089 grad_norm: 4.0663 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0163 loss: 2.0163 2022/08/02 19:18:02 - mmengine - INFO - Epoch(train) [62][1160/1879] lr: 2.0000e-02 eta: 1 day, 18:08:24 time: 0.9307 data_time: 0.0294 memory: 11089 grad_norm: 4.0810 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9177 loss: 1.9177 2022/08/02 19:18:20 - mmengine - INFO - Epoch(train) [62][1180/1879] lr: 2.0000e-02 eta: 1 day, 18:08:05 time: 0.8994 data_time: 0.0258 memory: 11089 grad_norm: 4.1712 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9761 loss: 1.9761 2022/08/02 19:18:38 - mmengine - INFO - Epoch(train) [62][1200/1879] lr: 2.0000e-02 eta: 1 day, 18:07:47 time: 0.9248 data_time: 0.0243 memory: 11089 grad_norm: 4.1660 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0545 loss: 2.0545 2022/08/02 19:18:57 - mmengine - INFO - Epoch(train) [62][1220/1879] lr: 2.0000e-02 eta: 1 day, 18:07:29 time: 0.9279 data_time: 0.0325 memory: 11089 grad_norm: 4.1462 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8627 loss: 1.8627 2022/08/02 19:19:15 - mmengine - INFO - Epoch(train) [62][1240/1879] lr: 2.0000e-02 eta: 1 day, 18:07:11 time: 0.9045 data_time: 0.0246 memory: 11089 grad_norm: 3.9918 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8529 loss: 1.8529 2022/08/02 19:19:33 - mmengine - INFO - Epoch(train) [62][1260/1879] lr: 2.0000e-02 eta: 1 day, 18:06:53 time: 0.9078 data_time: 0.0225 memory: 11089 grad_norm: 4.2005 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8745 loss: 1.8745 2022/08/02 19:19:51 - mmengine - INFO - Epoch(train) [62][1280/1879] lr: 2.0000e-02 eta: 1 day, 18:06:35 time: 0.9219 data_time: 0.0320 memory: 11089 grad_norm: 4.2297 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1201 loss: 2.1201 2022/08/02 19:20:10 - mmengine - INFO - Epoch(train) [62][1300/1879] lr: 2.0000e-02 eta: 1 day, 18:06:16 time: 0.9169 data_time: 0.0299 memory: 11089 grad_norm: 4.1137 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6713 loss: 1.6713 2022/08/02 19:20:28 - mmengine - INFO - Epoch(train) [62][1320/1879] lr: 2.0000e-02 eta: 1 day, 18:05:58 time: 0.9150 data_time: 0.0307 memory: 11089 grad_norm: 4.1634 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.1118 loss: 2.1118 2022/08/02 19:20:46 - mmengine - INFO - Epoch(train) [62][1340/1879] lr: 2.0000e-02 eta: 1 day, 18:05:40 time: 0.9165 data_time: 0.0249 memory: 11089 grad_norm: 4.2413 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8320 loss: 1.8320 2022/08/02 19:21:04 - mmengine - INFO - Epoch(train) [62][1360/1879] lr: 2.0000e-02 eta: 1 day, 18:05:21 time: 0.9028 data_time: 0.0281 memory: 11089 grad_norm: 4.2041 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0649 loss: 2.0649 2022/08/02 19:21:23 - mmengine - INFO - Epoch(train) [62][1380/1879] lr: 2.0000e-02 eta: 1 day, 18:05:03 time: 0.9205 data_time: 0.0255 memory: 11089 grad_norm: 4.1927 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9296 loss: 1.9296 2022/08/02 19:21:24 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 19:21:41 - mmengine - INFO - Epoch(train) [62][1400/1879] lr: 2.0000e-02 eta: 1 day, 18:04:45 time: 0.9058 data_time: 0.0250 memory: 11089 grad_norm: 4.0978 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8689 loss: 1.8689 2022/08/02 19:21:59 - mmengine - INFO - Epoch(train) [62][1420/1879] lr: 2.0000e-02 eta: 1 day, 18:04:26 time: 0.9092 data_time: 0.0217 memory: 11089 grad_norm: 4.0519 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8997 loss: 1.8997 2022/08/02 19:22:17 - mmengine - INFO - Epoch(train) [62][1440/1879] lr: 2.0000e-02 eta: 1 day, 18:04:08 time: 0.9144 data_time: 0.0287 memory: 11089 grad_norm: 4.1359 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9477 loss: 1.9477 2022/08/02 19:22:36 - mmengine - INFO - Epoch(train) [62][1460/1879] lr: 2.0000e-02 eta: 1 day, 18:03:50 time: 0.9154 data_time: 0.0284 memory: 11089 grad_norm: 4.0848 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9905 loss: 1.9905 2022/08/02 19:22:54 - mmengine - INFO - Epoch(train) [62][1480/1879] lr: 2.0000e-02 eta: 1 day, 18:03:32 time: 0.9085 data_time: 0.0271 memory: 11089 grad_norm: 4.0421 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9938 loss: 1.9938 2022/08/02 19:23:12 - mmengine - INFO - Epoch(train) [62][1500/1879] lr: 2.0000e-02 eta: 1 day, 18:03:13 time: 0.9199 data_time: 0.0310 memory: 11089 grad_norm: 4.0543 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0177 loss: 2.0177 2022/08/02 19:23:31 - mmengine - INFO - Epoch(train) [62][1520/1879] lr: 2.0000e-02 eta: 1 day, 18:02:55 time: 0.9237 data_time: 0.0288 memory: 11089 grad_norm: 4.1099 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8640 loss: 1.8640 2022/08/02 19:23:49 - mmengine - INFO - Epoch(train) [62][1540/1879] lr: 2.0000e-02 eta: 1 day, 18:02:37 time: 0.9198 data_time: 0.0252 memory: 11089 grad_norm: 4.1710 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1133 loss: 2.1133 2022/08/02 19:24:07 - mmengine - INFO - Epoch(train) [62][1560/1879] lr: 2.0000e-02 eta: 1 day, 18:02:19 time: 0.9066 data_time: 0.0292 memory: 11089 grad_norm: 4.0778 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9449 loss: 1.9449 2022/08/02 19:24:25 - mmengine - INFO - Epoch(train) [62][1580/1879] lr: 2.0000e-02 eta: 1 day, 18:02:00 time: 0.9041 data_time: 0.0247 memory: 11089 grad_norm: 4.2122 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0081 loss: 2.0081 2022/08/02 19:24:43 - mmengine - INFO - Epoch(train) [62][1600/1879] lr: 2.0000e-02 eta: 1 day, 18:01:42 time: 0.9088 data_time: 0.0215 memory: 11089 grad_norm: 4.0878 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9879 loss: 1.9879 2022/08/02 19:25:02 - mmengine - INFO - Epoch(train) [62][1620/1879] lr: 2.0000e-02 eta: 1 day, 18:01:24 time: 0.9075 data_time: 0.0230 memory: 11089 grad_norm: 4.0740 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7018 loss: 1.7018 2022/08/02 19:25:20 - mmengine - INFO - Epoch(train) [62][1640/1879] lr: 2.0000e-02 eta: 1 day, 18:01:05 time: 0.9041 data_time: 0.0273 memory: 11089 grad_norm: 4.1066 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0839 loss: 2.0839 2022/08/02 19:25:38 - mmengine - INFO - Epoch(train) [62][1660/1879] lr: 2.0000e-02 eta: 1 day, 18:00:47 time: 0.9192 data_time: 0.0345 memory: 11089 grad_norm: 4.1513 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9135 loss: 1.9135 2022/08/02 19:25:56 - mmengine - INFO - Epoch(train) [62][1680/1879] lr: 2.0000e-02 eta: 1 day, 18:00:29 time: 0.9143 data_time: 0.0274 memory: 11089 grad_norm: 4.0096 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8217 loss: 1.8217 2022/08/02 19:26:14 - mmengine - INFO - Epoch(train) [62][1700/1879] lr: 2.0000e-02 eta: 1 day, 18:00:10 time: 0.9029 data_time: 0.0282 memory: 11089 grad_norm: 4.1179 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.7971 loss: 1.7971 2022/08/02 19:26:33 - mmengine - INFO - Epoch(train) [62][1720/1879] lr: 2.0000e-02 eta: 1 day, 17:59:52 time: 0.9149 data_time: 0.0258 memory: 11089 grad_norm: 4.2244 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8883 loss: 1.8883 2022/08/02 19:26:51 - mmengine - INFO - Epoch(train) [62][1740/1879] lr: 2.0000e-02 eta: 1 day, 17:59:34 time: 0.9169 data_time: 0.0283 memory: 11089 grad_norm: 4.0161 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0260 loss: 2.0260 2022/08/02 19:27:09 - mmengine - INFO - Epoch(train) [62][1760/1879] lr: 2.0000e-02 eta: 1 day, 17:59:15 time: 0.9075 data_time: 0.0214 memory: 11089 grad_norm: 4.0875 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0108 loss: 2.0108 2022/08/02 19:27:28 - mmengine - INFO - Epoch(train) [62][1780/1879] lr: 2.0000e-02 eta: 1 day, 17:58:57 time: 0.9259 data_time: 0.0237 memory: 11089 grad_norm: 4.0578 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8134 loss: 1.8134 2022/08/02 19:27:46 - mmengine - INFO - Epoch(train) [62][1800/1879] lr: 2.0000e-02 eta: 1 day, 17:58:39 time: 0.9034 data_time: 0.0313 memory: 11089 grad_norm: 4.0039 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8399 loss: 1.8399 2022/08/02 19:28:04 - mmengine - INFO - Epoch(train) [62][1820/1879] lr: 2.0000e-02 eta: 1 day, 17:58:21 time: 0.9170 data_time: 0.0272 memory: 11089 grad_norm: 4.0535 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8615 loss: 1.8615 2022/08/02 19:28:22 - mmengine - INFO - Epoch(train) [62][1840/1879] lr: 2.0000e-02 eta: 1 day, 17:58:02 time: 0.9080 data_time: 0.0305 memory: 11089 grad_norm: 4.0461 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.7786 loss: 1.7786 2022/08/02 19:28:41 - mmengine - INFO - Epoch(train) [62][1860/1879] lr: 2.0000e-02 eta: 1 day, 17:57:44 time: 0.9212 data_time: 0.0295 memory: 11089 grad_norm: 4.0652 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2377 loss: 2.2377 2022/08/02 19:28:58 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 19:28:58 - mmengine - INFO - Epoch(train) [62][1879/1879] lr: 2.0000e-02 eta: 1 day, 17:57:44 time: 0.9176 data_time: 0.0288 memory: 11089 grad_norm: 4.2045 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.1620 loss: 2.1620 2022/08/02 19:29:19 - mmengine - INFO - Epoch(train) [63][20/1879] lr: 2.0000e-02 eta: 1 day, 17:56:47 time: 1.0318 data_time: 0.1487 memory: 11089 grad_norm: 4.0224 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9213 loss: 1.9213 2022/08/02 19:29:37 - mmengine - INFO - Epoch(train) [63][40/1879] lr: 2.0000e-02 eta: 1 day, 17:56:29 time: 0.9115 data_time: 0.0271 memory: 11089 grad_norm: 4.0888 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0704 loss: 2.0704 2022/08/02 19:29:55 - mmengine - INFO - Epoch(train) [63][60/1879] lr: 2.0000e-02 eta: 1 day, 17:56:10 time: 0.8836 data_time: 0.0212 memory: 11089 grad_norm: 4.1255 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8209 loss: 1.8209 2022/08/02 19:30:13 - mmengine - INFO - Epoch(train) [63][80/1879] lr: 2.0000e-02 eta: 1 day, 17:55:51 time: 0.9013 data_time: 0.0235 memory: 11089 grad_norm: 4.1946 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9518 loss: 1.9518 2022/08/02 19:30:31 - mmengine - INFO - Epoch(train) [63][100/1879] lr: 2.0000e-02 eta: 1 day, 17:55:33 time: 0.9146 data_time: 0.0283 memory: 11089 grad_norm: 4.0534 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1120 loss: 2.1120 2022/08/02 19:30:50 - mmengine - INFO - Epoch(train) [63][120/1879] lr: 2.0000e-02 eta: 1 day, 17:55:15 time: 0.9210 data_time: 0.0380 memory: 11089 grad_norm: 4.1380 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9003 loss: 1.9003 2022/08/02 19:31:08 - mmengine - INFO - Epoch(train) [63][140/1879] lr: 2.0000e-02 eta: 1 day, 17:54:57 time: 0.9124 data_time: 0.0219 memory: 11089 grad_norm: 4.3677 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9393 loss: 1.9393 2022/08/02 19:31:26 - mmengine - INFO - Epoch(train) [63][160/1879] lr: 2.0000e-02 eta: 1 day, 17:54:38 time: 0.8970 data_time: 0.0215 memory: 11089 grad_norm: 4.1522 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9321 loss: 1.9321 2022/08/02 19:31:44 - mmengine - INFO - Epoch(train) [63][180/1879] lr: 2.0000e-02 eta: 1 day, 17:54:20 time: 0.9128 data_time: 0.0214 memory: 11089 grad_norm: 4.1561 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 2.0276 loss: 2.0276 2022/08/02 19:32:03 - mmengine - INFO - Epoch(train) [63][200/1879] lr: 2.0000e-02 eta: 1 day, 17:54:02 time: 0.9286 data_time: 0.0293 memory: 11089 grad_norm: 4.1473 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0245 loss: 2.0245 2022/08/02 19:32:21 - mmengine - INFO - Epoch(train) [63][220/1879] lr: 2.0000e-02 eta: 1 day, 17:53:43 time: 0.9093 data_time: 0.0305 memory: 11089 grad_norm: 4.1264 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8833 loss: 1.8833 2022/08/02 19:32:39 - mmengine - INFO - Epoch(train) [63][240/1879] lr: 2.0000e-02 eta: 1 day, 17:53:25 time: 0.9240 data_time: 0.0293 memory: 11089 grad_norm: 4.2264 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8413 loss: 1.8413 2022/08/02 19:32:58 - mmengine - INFO - Epoch(train) [63][260/1879] lr: 2.0000e-02 eta: 1 day, 17:53:07 time: 0.9249 data_time: 0.0287 memory: 11089 grad_norm: 4.1646 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8570 loss: 1.8570 2022/08/02 19:33:16 - mmengine - INFO - Epoch(train) [63][280/1879] lr: 2.0000e-02 eta: 1 day, 17:52:49 time: 0.8992 data_time: 0.0246 memory: 11089 grad_norm: 4.2500 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9087 loss: 1.9087 2022/08/02 19:33:34 - mmengine - INFO - Epoch(train) [63][300/1879] lr: 2.0000e-02 eta: 1 day, 17:52:31 time: 0.9156 data_time: 0.0234 memory: 11089 grad_norm: 4.1468 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1018 loss: 2.1018 2022/08/02 19:33:53 - mmengine - INFO - Epoch(train) [63][320/1879] lr: 2.0000e-02 eta: 1 day, 17:52:13 time: 0.9349 data_time: 0.0353 memory: 11089 grad_norm: 4.0654 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9234 loss: 1.9234 2022/08/02 19:34:11 - mmengine - INFO - Epoch(train) [63][340/1879] lr: 2.0000e-02 eta: 1 day, 17:51:55 time: 0.9100 data_time: 0.0256 memory: 11089 grad_norm: 4.0593 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8440 loss: 1.8440 2022/08/02 19:34:29 - mmengine - INFO - Epoch(train) [63][360/1879] lr: 2.0000e-02 eta: 1 day, 17:51:36 time: 0.9134 data_time: 0.0230 memory: 11089 grad_norm: 4.1475 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7374 loss: 1.7374 2022/08/02 19:34:47 - mmengine - INFO - Epoch(train) [63][380/1879] lr: 2.0000e-02 eta: 1 day, 17:51:18 time: 0.9063 data_time: 0.0259 memory: 11089 grad_norm: 4.1761 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8983 loss: 1.8983 2022/08/02 19:35:06 - mmengine - INFO - Epoch(train) [63][400/1879] lr: 2.0000e-02 eta: 1 day, 17:51:00 time: 0.9162 data_time: 0.0268 memory: 11089 grad_norm: 4.1203 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9756 loss: 1.9756 2022/08/02 19:35:24 - mmengine - INFO - Epoch(train) [63][420/1879] lr: 2.0000e-02 eta: 1 day, 17:50:41 time: 0.9141 data_time: 0.0264 memory: 11089 grad_norm: 4.0170 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0877 loss: 2.0877 2022/08/02 19:35:42 - mmengine - INFO - Epoch(train) [63][440/1879] lr: 2.0000e-02 eta: 1 day, 17:50:23 time: 0.9173 data_time: 0.0238 memory: 11089 grad_norm: 4.0809 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8315 loss: 1.8315 2022/08/02 19:36:01 - mmengine - INFO - Epoch(train) [63][460/1879] lr: 2.0000e-02 eta: 1 day, 17:50:05 time: 0.9252 data_time: 0.0271 memory: 11089 grad_norm: 4.0906 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8272 loss: 1.8272 2022/08/02 19:36:19 - mmengine - INFO - Epoch(train) [63][480/1879] lr: 2.0000e-02 eta: 1 day, 17:49:47 time: 0.9178 data_time: 0.0288 memory: 11089 grad_norm: 4.2022 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1178 loss: 2.1178 2022/08/02 19:36:38 - mmengine - INFO - Epoch(train) [63][500/1879] lr: 2.0000e-02 eta: 1 day, 17:49:29 time: 0.9142 data_time: 0.0301 memory: 11089 grad_norm: 4.1275 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0959 loss: 2.0959 2022/08/02 19:36:39 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 19:36:56 - mmengine - INFO - Epoch(train) [63][520/1879] lr: 2.0000e-02 eta: 1 day, 17:49:11 time: 0.9128 data_time: 0.0222 memory: 11089 grad_norm: 4.1377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0754 loss: 2.0754 2022/08/02 19:37:14 - mmengine - INFO - Epoch(train) [63][540/1879] lr: 2.0000e-02 eta: 1 day, 17:48:52 time: 0.9108 data_time: 0.0291 memory: 11089 grad_norm: 4.1128 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1520 loss: 2.1520 2022/08/02 19:37:33 - mmengine - INFO - Epoch(train) [63][560/1879] lr: 2.0000e-02 eta: 1 day, 17:48:34 time: 0.9297 data_time: 0.0295 memory: 11089 grad_norm: 4.0564 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0849 loss: 2.0849 2022/08/02 19:37:51 - mmengine - INFO - Epoch(train) [63][580/1879] lr: 2.0000e-02 eta: 1 day, 17:48:16 time: 0.9030 data_time: 0.0255 memory: 11089 grad_norm: 4.0949 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9876 loss: 1.9876 2022/08/02 19:38:09 - mmengine - INFO - Epoch(train) [63][600/1879] lr: 2.0000e-02 eta: 1 day, 17:47:57 time: 0.9030 data_time: 0.0258 memory: 11089 grad_norm: 4.0889 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9505 loss: 1.9505 2022/08/02 19:38:27 - mmengine - INFO - Epoch(train) [63][620/1879] lr: 2.0000e-02 eta: 1 day, 17:47:39 time: 0.9069 data_time: 0.0238 memory: 11089 grad_norm: 4.0973 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0532 loss: 2.0532 2022/08/02 19:38:46 - mmengine - INFO - Epoch(train) [63][640/1879] lr: 2.0000e-02 eta: 1 day, 17:47:21 time: 0.9353 data_time: 0.0347 memory: 11089 grad_norm: 4.0734 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9569 loss: 1.9569 2022/08/02 19:39:04 - mmengine - INFO - Epoch(train) [63][660/1879] lr: 2.0000e-02 eta: 1 day, 17:47:03 time: 0.9262 data_time: 0.0336 memory: 11089 grad_norm: 4.1349 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1762 loss: 2.1762 2022/08/02 19:39:23 - mmengine - INFO - Epoch(train) [63][680/1879] lr: 2.0000e-02 eta: 1 day, 17:46:46 time: 0.9378 data_time: 0.0284 memory: 11089 grad_norm: 4.0260 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9218 loss: 1.9218 2022/08/02 19:39:41 - mmengine - INFO - Epoch(train) [63][700/1879] lr: 2.0000e-02 eta: 1 day, 17:46:28 time: 0.9273 data_time: 0.0313 memory: 11089 grad_norm: 4.0689 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8668 loss: 1.8668 2022/08/02 19:40:00 - mmengine - INFO - Epoch(train) [63][720/1879] lr: 2.0000e-02 eta: 1 day, 17:46:10 time: 0.9144 data_time: 0.0254 memory: 11089 grad_norm: 4.2631 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9136 loss: 1.9136 2022/08/02 19:40:18 - mmengine - INFO - Epoch(train) [63][740/1879] lr: 2.0000e-02 eta: 1 day, 17:45:51 time: 0.9126 data_time: 0.0283 memory: 11089 grad_norm: 4.1616 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0072 loss: 2.0072 2022/08/02 19:40:36 - mmengine - INFO - Epoch(train) [63][760/1879] lr: 2.0000e-02 eta: 1 day, 17:45:33 time: 0.9113 data_time: 0.0262 memory: 11089 grad_norm: 4.0172 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9273 loss: 1.9273 2022/08/02 19:40:55 - mmengine - INFO - Epoch(train) [63][780/1879] lr: 2.0000e-02 eta: 1 day, 17:45:15 time: 0.9113 data_time: 0.0250 memory: 11089 grad_norm: 4.1107 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.9740 loss: 1.9740 2022/08/02 19:41:13 - mmengine - INFO - Epoch(train) [63][800/1879] lr: 2.0000e-02 eta: 1 day, 17:44:57 time: 0.9267 data_time: 0.0290 memory: 11089 grad_norm: 4.2287 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8564 loss: 1.8564 2022/08/02 19:41:32 - mmengine - INFO - Epoch(train) [63][820/1879] lr: 2.0000e-02 eta: 1 day, 17:44:39 time: 0.9246 data_time: 0.0262 memory: 11089 grad_norm: 4.1034 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9916 loss: 1.9916 2022/08/02 19:41:50 - mmengine - INFO - Epoch(train) [63][840/1879] lr: 2.0000e-02 eta: 1 day, 17:44:21 time: 0.9162 data_time: 0.0304 memory: 11089 grad_norm: 4.1868 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0614 loss: 2.0614 2022/08/02 19:42:08 - mmengine - INFO - Epoch(train) [63][860/1879] lr: 2.0000e-02 eta: 1 day, 17:44:02 time: 0.9036 data_time: 0.0252 memory: 11089 grad_norm: 4.1134 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9425 loss: 1.9425 2022/08/02 19:42:26 - mmengine - INFO - Epoch(train) [63][880/1879] lr: 2.0000e-02 eta: 1 day, 17:43:44 time: 0.9175 data_time: 0.0283 memory: 11089 grad_norm: 4.0643 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8425 loss: 1.8425 2022/08/02 19:42:45 - mmengine - INFO - Epoch(train) [63][900/1879] lr: 2.0000e-02 eta: 1 day, 17:43:26 time: 0.9244 data_time: 0.0276 memory: 11089 grad_norm: 4.1688 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9199 loss: 1.9199 2022/08/02 19:43:03 - mmengine - INFO - Epoch(train) [63][920/1879] lr: 2.0000e-02 eta: 1 day, 17:43:08 time: 0.9346 data_time: 0.0333 memory: 11089 grad_norm: 4.1408 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0494 loss: 2.0494 2022/08/02 19:43:22 - mmengine - INFO - Epoch(train) [63][940/1879] lr: 2.0000e-02 eta: 1 day, 17:42:50 time: 0.9151 data_time: 0.0291 memory: 11089 grad_norm: 4.1147 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8804 loss: 1.8804 2022/08/02 19:43:40 - mmengine - INFO - Epoch(train) [63][960/1879] lr: 2.0000e-02 eta: 1 day, 17:42:32 time: 0.9091 data_time: 0.0252 memory: 11089 grad_norm: 4.1120 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9421 loss: 1.9421 2022/08/02 19:43:58 - mmengine - INFO - Epoch(train) [63][980/1879] lr: 2.0000e-02 eta: 1 day, 17:42:13 time: 0.9063 data_time: 0.0296 memory: 11089 grad_norm: 4.1075 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7548 loss: 1.7548 2022/08/02 19:44:16 - mmengine - INFO - Epoch(train) [63][1000/1879] lr: 2.0000e-02 eta: 1 day, 17:41:55 time: 0.9020 data_time: 0.0231 memory: 11089 grad_norm: 4.1594 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8584 loss: 1.8584 2022/08/02 19:44:35 - mmengine - INFO - Epoch(train) [63][1020/1879] lr: 2.0000e-02 eta: 1 day, 17:41:37 time: 0.9221 data_time: 0.0221 memory: 11089 grad_norm: 4.0891 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9377 loss: 1.9377 2022/08/02 19:44:53 - mmengine - INFO - Epoch(train) [63][1040/1879] lr: 2.0000e-02 eta: 1 day, 17:41:18 time: 0.9135 data_time: 0.0338 memory: 11089 grad_norm: 4.1839 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0516 loss: 2.0516 2022/08/02 19:45:11 - mmengine - INFO - Epoch(train) [63][1060/1879] lr: 2.0000e-02 eta: 1 day, 17:41:01 time: 0.9266 data_time: 0.0267 memory: 11089 grad_norm: 4.0667 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0341 loss: 2.0341 2022/08/02 19:45:29 - mmengine - INFO - Epoch(train) [63][1080/1879] lr: 2.0000e-02 eta: 1 day, 17:40:42 time: 0.9048 data_time: 0.0263 memory: 11089 grad_norm: 4.1467 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0427 loss: 2.0427 2022/08/02 19:45:47 - mmengine - INFO - Epoch(train) [63][1100/1879] lr: 2.0000e-02 eta: 1 day, 17:40:23 time: 0.8989 data_time: 0.0218 memory: 11089 grad_norm: 4.1342 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9639 loss: 1.9639 2022/08/02 19:46:06 - mmengine - INFO - Epoch(train) [63][1120/1879] lr: 2.0000e-02 eta: 1 day, 17:40:05 time: 0.9046 data_time: 0.0251 memory: 11089 grad_norm: 4.0938 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9998 loss: 1.9998 2022/08/02 19:46:24 - mmengine - INFO - Epoch(train) [63][1140/1879] lr: 2.0000e-02 eta: 1 day, 17:39:47 time: 0.9139 data_time: 0.0251 memory: 11089 grad_norm: 4.0849 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9208 loss: 1.9208 2022/08/02 19:46:42 - mmengine - INFO - Epoch(train) [63][1160/1879] lr: 2.0000e-02 eta: 1 day, 17:39:29 time: 0.9212 data_time: 0.0282 memory: 11089 grad_norm: 4.0354 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9427 loss: 1.9427 2022/08/02 19:47:01 - mmengine - INFO - Epoch(train) [63][1180/1879] lr: 2.0000e-02 eta: 1 day, 17:39:10 time: 0.9143 data_time: 0.0284 memory: 11089 grad_norm: 4.0965 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0130 loss: 2.0130 2022/08/02 19:47:19 - mmengine - INFO - Epoch(train) [63][1200/1879] lr: 2.0000e-02 eta: 1 day, 17:38:52 time: 0.9228 data_time: 0.0245 memory: 11089 grad_norm: 4.1919 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8660 loss: 1.8660 2022/08/02 19:47:37 - mmengine - INFO - Epoch(train) [63][1220/1879] lr: 2.0000e-02 eta: 1 day, 17:38:34 time: 0.8959 data_time: 0.0228 memory: 11089 grad_norm: 4.1108 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9158 loss: 1.9158 2022/08/02 19:47:55 - mmengine - INFO - Epoch(train) [63][1240/1879] lr: 2.0000e-02 eta: 1 day, 17:38:15 time: 0.9009 data_time: 0.0242 memory: 11089 grad_norm: 4.0989 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9161 loss: 1.9161 2022/08/02 19:48:13 - mmengine - INFO - Epoch(train) [63][1260/1879] lr: 2.0000e-02 eta: 1 day, 17:37:57 time: 0.9199 data_time: 0.0316 memory: 11089 grad_norm: 4.0697 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9930 loss: 1.9930 2022/08/02 19:48:32 - mmengine - INFO - Epoch(train) [63][1280/1879] lr: 2.0000e-02 eta: 1 day, 17:37:39 time: 0.9135 data_time: 0.0312 memory: 11089 grad_norm: 4.1677 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0161 loss: 2.0161 2022/08/02 19:48:50 - mmengine - INFO - Epoch(train) [63][1300/1879] lr: 2.0000e-02 eta: 1 day, 17:37:21 time: 0.9255 data_time: 0.0341 memory: 11089 grad_norm: 4.0753 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8228 loss: 1.8228 2022/08/02 19:49:09 - mmengine - INFO - Epoch(train) [63][1320/1879] lr: 2.0000e-02 eta: 1 day, 17:37:03 time: 0.9254 data_time: 0.0328 memory: 11089 grad_norm: 4.0423 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0827 loss: 2.0827 2022/08/02 19:49:27 - mmengine - INFO - Epoch(train) [63][1340/1879] lr: 2.0000e-02 eta: 1 day, 17:36:45 time: 0.9425 data_time: 0.0312 memory: 11089 grad_norm: 4.1227 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.0605 loss: 2.0605 2022/08/02 19:49:46 - mmengine - INFO - Epoch(train) [63][1360/1879] lr: 2.0000e-02 eta: 1 day, 17:36:27 time: 0.9317 data_time: 0.0311 memory: 11089 grad_norm: 4.1563 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9209 loss: 1.9209 2022/08/02 19:50:05 - mmengine - INFO - Epoch(train) [63][1380/1879] lr: 2.0000e-02 eta: 1 day, 17:36:10 time: 0.9287 data_time: 0.0233 memory: 11089 grad_norm: 4.2078 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0574 loss: 2.0574 2022/08/02 19:50:23 - mmengine - INFO - Epoch(train) [63][1400/1879] lr: 2.0000e-02 eta: 1 day, 17:35:52 time: 0.9219 data_time: 0.0299 memory: 11089 grad_norm: 3.9945 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1667 loss: 2.1667 2022/08/02 19:50:41 - mmengine - INFO - Epoch(train) [63][1420/1879] lr: 2.0000e-02 eta: 1 day, 17:35:33 time: 0.9176 data_time: 0.0332 memory: 11089 grad_norm: 4.0905 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8830 loss: 1.8830 2022/08/02 19:51:00 - mmengine - INFO - Epoch(train) [63][1440/1879] lr: 2.0000e-02 eta: 1 day, 17:35:15 time: 0.9123 data_time: 0.0305 memory: 11089 grad_norm: 4.1033 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9871 loss: 1.9871 2022/08/02 19:51:18 - mmengine - INFO - Epoch(train) [63][1460/1879] lr: 2.0000e-02 eta: 1 day, 17:34:57 time: 0.9141 data_time: 0.0313 memory: 11089 grad_norm: 4.1830 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0150 loss: 2.0150 2022/08/02 19:51:37 - mmengine - INFO - Epoch(train) [63][1480/1879] lr: 2.0000e-02 eta: 1 day, 17:34:39 time: 0.9267 data_time: 0.0209 memory: 11089 grad_norm: 4.0977 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8770 loss: 1.8770 2022/08/02 19:51:55 - mmengine - INFO - Epoch(train) [63][1500/1879] lr: 2.0000e-02 eta: 1 day, 17:34:21 time: 0.9265 data_time: 0.0291 memory: 11089 grad_norm: 4.1219 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0845 loss: 2.0845 2022/08/02 19:51:57 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 19:52:14 - mmengine - INFO - Epoch(train) [63][1520/1879] lr: 2.0000e-02 eta: 1 day, 17:34:03 time: 0.9198 data_time: 0.0291 memory: 11089 grad_norm: 4.1277 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8532 loss: 1.8532 2022/08/02 19:52:32 - mmengine - INFO - Epoch(train) [63][1540/1879] lr: 2.0000e-02 eta: 1 day, 17:33:45 time: 0.9048 data_time: 0.0241 memory: 11089 grad_norm: 4.1338 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7702 loss: 1.7702 2022/08/02 19:52:50 - mmengine - INFO - Epoch(train) [63][1560/1879] lr: 2.0000e-02 eta: 1 day, 17:33:26 time: 0.9114 data_time: 0.0269 memory: 11089 grad_norm: 4.0972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8978 loss: 1.8978 2022/08/02 19:53:08 - mmengine - INFO - Epoch(train) [63][1580/1879] lr: 2.0000e-02 eta: 1 day, 17:33:08 time: 0.9163 data_time: 0.0276 memory: 11089 grad_norm: 4.1132 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8349 loss: 1.8349 2022/08/02 19:53:27 - mmengine - INFO - Epoch(train) [63][1600/1879] lr: 2.0000e-02 eta: 1 day, 17:32:50 time: 0.9299 data_time: 0.0281 memory: 11089 grad_norm: 4.1842 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 2.0252 loss: 2.0252 2022/08/02 19:53:45 - mmengine - INFO - Epoch(train) [63][1620/1879] lr: 2.0000e-02 eta: 1 day, 17:32:32 time: 0.9114 data_time: 0.0234 memory: 11089 grad_norm: 4.1028 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1454 loss: 2.1454 2022/08/02 19:54:03 - mmengine - INFO - Epoch(train) [63][1640/1879] lr: 2.0000e-02 eta: 1 day, 17:32:13 time: 0.8989 data_time: 0.0221 memory: 11089 grad_norm: 4.0702 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8909 loss: 1.8909 2022/08/02 19:54:21 - mmengine - INFO - Epoch(train) [63][1660/1879] lr: 2.0000e-02 eta: 1 day, 17:31:55 time: 0.9259 data_time: 0.0270 memory: 11089 grad_norm: 4.0131 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8979 loss: 1.8979 2022/08/02 19:54:40 - mmengine - INFO - Epoch(train) [63][1680/1879] lr: 2.0000e-02 eta: 1 day, 17:31:37 time: 0.9275 data_time: 0.0264 memory: 11089 grad_norm: 4.1383 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8393 loss: 1.8393 2022/08/02 19:54:58 - mmengine - INFO - Epoch(train) [63][1700/1879] lr: 2.0000e-02 eta: 1 day, 17:31:19 time: 0.9009 data_time: 0.0217 memory: 11089 grad_norm: 4.0985 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0209 loss: 2.0209 2022/08/02 19:55:16 - mmengine - INFO - Epoch(train) [63][1720/1879] lr: 2.0000e-02 eta: 1 day, 17:31:01 time: 0.9193 data_time: 0.0239 memory: 11089 grad_norm: 4.0927 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0255 loss: 2.0255 2022/08/02 19:55:36 - mmengine - INFO - Epoch(train) [63][1740/1879] lr: 2.0000e-02 eta: 1 day, 17:30:44 time: 0.9567 data_time: 0.0400 memory: 11089 grad_norm: 4.1295 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1886 loss: 2.1886 2022/08/02 19:55:54 - mmengine - INFO - Epoch(train) [63][1760/1879] lr: 2.0000e-02 eta: 1 day, 17:30:25 time: 0.9118 data_time: 0.0310 memory: 11089 grad_norm: 4.0587 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7377 loss: 1.7377 2022/08/02 19:56:12 - mmengine - INFO - Epoch(train) [63][1780/1879] lr: 2.0000e-02 eta: 1 day, 17:30:07 time: 0.9218 data_time: 0.0262 memory: 11089 grad_norm: 4.1738 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8579 loss: 1.8579 2022/08/02 19:56:31 - mmengine - INFO - Epoch(train) [63][1800/1879] lr: 2.0000e-02 eta: 1 day, 17:29:49 time: 0.9131 data_time: 0.0285 memory: 11089 grad_norm: 4.1512 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7204 loss: 1.7204 2022/08/02 19:56:49 - mmengine - INFO - Epoch(train) [63][1820/1879] lr: 2.0000e-02 eta: 1 day, 17:29:30 time: 0.9041 data_time: 0.0245 memory: 11089 grad_norm: 4.1682 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8332 loss: 1.8332 2022/08/02 19:57:07 - mmengine - INFO - Epoch(train) [63][1840/1879] lr: 2.0000e-02 eta: 1 day, 17:29:12 time: 0.9113 data_time: 0.0256 memory: 11089 grad_norm: 4.1431 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9508 loss: 1.9508 2022/08/02 19:57:25 - mmengine - INFO - Epoch(train) [63][1860/1879] lr: 2.0000e-02 eta: 1 day, 17:28:53 time: 0.8924 data_time: 0.0264 memory: 11089 grad_norm: 4.1833 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3239 loss: 2.3239 2022/08/02 19:57:42 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 19:57:42 - mmengine - INFO - Epoch(train) [63][1879/1879] lr: 2.0000e-02 eta: 1 day, 17:28:53 time: 0.9110 data_time: 0.0355 memory: 11089 grad_norm: 4.1577 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.9199 loss: 1.9199 2022/08/02 19:58:02 - mmengine - INFO - Epoch(train) [64][20/1879] lr: 2.0000e-02 eta: 1 day, 17:27:57 time: 1.0160 data_time: 0.1488 memory: 11089 grad_norm: 4.1235 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8849 loss: 1.8849 2022/08/02 19:58:21 - mmengine - INFO - Epoch(train) [64][40/1879] lr: 2.0000e-02 eta: 1 day, 17:27:38 time: 0.9166 data_time: 0.0250 memory: 11089 grad_norm: 4.1181 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.7480 loss: 1.7480 2022/08/02 19:58:39 - mmengine - INFO - Epoch(train) [64][60/1879] lr: 2.0000e-02 eta: 1 day, 17:27:20 time: 0.9098 data_time: 0.0231 memory: 11089 grad_norm: 4.1250 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.9606 loss: 1.9606 2022/08/02 19:58:57 - mmengine - INFO - Epoch(train) [64][80/1879] lr: 2.0000e-02 eta: 1 day, 17:27:02 time: 0.9153 data_time: 0.0289 memory: 11089 grad_norm: 4.1915 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8652 loss: 1.8652 2022/08/02 19:59:16 - mmengine - INFO - Epoch(train) [64][100/1879] lr: 2.0000e-02 eta: 1 day, 17:26:44 time: 0.9209 data_time: 0.0195 memory: 11089 grad_norm: 4.3270 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9491 loss: 1.9491 2022/08/02 19:59:34 - mmengine - INFO - Epoch(train) [64][120/1879] lr: 2.0000e-02 eta: 1 day, 17:26:26 time: 0.9247 data_time: 0.0312 memory: 11089 grad_norm: 4.1185 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9258 loss: 1.9258 2022/08/02 19:59:53 - mmengine - INFO - Epoch(train) [64][140/1879] lr: 2.0000e-02 eta: 1 day, 17:26:08 time: 0.9239 data_time: 0.0286 memory: 11089 grad_norm: 4.0982 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7949 loss: 1.7949 2022/08/02 20:00:11 - mmengine - INFO - Epoch(train) [64][160/1879] lr: 2.0000e-02 eta: 1 day, 17:25:50 time: 0.9137 data_time: 0.0251 memory: 11089 grad_norm: 4.1808 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8634 loss: 1.8634 2022/08/02 20:00:29 - mmengine - INFO - Epoch(train) [64][180/1879] lr: 2.0000e-02 eta: 1 day, 17:25:31 time: 0.9140 data_time: 0.0257 memory: 11089 grad_norm: 4.1666 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9995 loss: 1.9995 2022/08/02 20:00:47 - mmengine - INFO - Epoch(train) [64][200/1879] lr: 2.0000e-02 eta: 1 day, 17:25:13 time: 0.9079 data_time: 0.0278 memory: 11089 grad_norm: 4.1143 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7514 loss: 1.7514 2022/08/02 20:01:06 - mmengine - INFO - Epoch(train) [64][220/1879] lr: 2.0000e-02 eta: 1 day, 17:24:55 time: 0.9325 data_time: 0.0266 memory: 11089 grad_norm: 4.1285 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8567 loss: 1.8567 2022/08/02 20:01:25 - mmengine - INFO - Epoch(train) [64][240/1879] lr: 2.0000e-02 eta: 1 day, 17:24:37 time: 0.9219 data_time: 0.0289 memory: 11089 grad_norm: 4.2049 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0477 loss: 2.0477 2022/08/02 20:01:43 - mmengine - INFO - Epoch(train) [64][260/1879] lr: 2.0000e-02 eta: 1 day, 17:24:19 time: 0.9238 data_time: 0.0363 memory: 11089 grad_norm: 4.2093 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8888 loss: 1.8888 2022/08/02 20:02:02 - mmengine - INFO - Epoch(train) [64][280/1879] lr: 2.0000e-02 eta: 1 day, 17:24:01 time: 0.9219 data_time: 0.0258 memory: 11089 grad_norm: 4.2400 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0006 loss: 2.0006 2022/08/02 20:02:20 - mmengine - INFO - Epoch(train) [64][300/1879] lr: 2.0000e-02 eta: 1 day, 17:23:43 time: 0.9247 data_time: 0.0310 memory: 11089 grad_norm: 4.1244 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9281 loss: 1.9281 2022/08/02 20:02:39 - mmengine - INFO - Epoch(train) [64][320/1879] lr: 2.0000e-02 eta: 1 day, 17:23:26 time: 0.9342 data_time: 0.0339 memory: 11089 grad_norm: 4.1527 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8331 loss: 1.8331 2022/08/02 20:02:57 - mmengine - INFO - Epoch(train) [64][340/1879] lr: 2.0000e-02 eta: 1 day, 17:23:07 time: 0.9178 data_time: 0.0307 memory: 11089 grad_norm: 4.0666 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6383 loss: 1.6383 2022/08/02 20:03:16 - mmengine - INFO - Epoch(train) [64][360/1879] lr: 2.0000e-02 eta: 1 day, 17:22:49 time: 0.9273 data_time: 0.0328 memory: 11089 grad_norm: 4.2052 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9240 loss: 1.9240 2022/08/02 20:03:34 - mmengine - INFO - Epoch(train) [64][380/1879] lr: 2.0000e-02 eta: 1 day, 17:22:32 time: 0.9295 data_time: 0.0348 memory: 11089 grad_norm: 4.2915 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0454 loss: 2.0454 2022/08/02 20:03:52 - mmengine - INFO - Epoch(train) [64][400/1879] lr: 2.0000e-02 eta: 1 day, 17:22:13 time: 0.8993 data_time: 0.0252 memory: 11089 grad_norm: 4.0898 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9598 loss: 1.9598 2022/08/02 20:04:10 - mmengine - INFO - Epoch(train) [64][420/1879] lr: 2.0000e-02 eta: 1 day, 17:21:55 time: 0.9082 data_time: 0.0299 memory: 11089 grad_norm: 4.1108 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9095 loss: 1.9095 2022/08/02 20:04:29 - mmengine - INFO - Epoch(train) [64][440/1879] lr: 2.0000e-02 eta: 1 day, 17:21:36 time: 0.9166 data_time: 0.0238 memory: 11089 grad_norm: 4.1136 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9776 loss: 1.9776 2022/08/02 20:04:47 - mmengine - INFO - Epoch(train) [64][460/1879] lr: 2.0000e-02 eta: 1 day, 17:21:18 time: 0.9065 data_time: 0.0285 memory: 11089 grad_norm: 4.0668 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8422 loss: 1.8422 2022/08/02 20:05:05 - mmengine - INFO - Epoch(train) [64][480/1879] lr: 2.0000e-02 eta: 1 day, 17:21:00 time: 0.9216 data_time: 0.0276 memory: 11089 grad_norm: 4.0829 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9030 loss: 1.9030 2022/08/02 20:05:24 - mmengine - INFO - Epoch(train) [64][500/1879] lr: 2.0000e-02 eta: 1 day, 17:20:42 time: 0.9277 data_time: 0.0247 memory: 11089 grad_norm: 4.1260 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9812 loss: 1.9812 2022/08/02 20:05:42 - mmengine - INFO - Epoch(train) [64][520/1879] lr: 2.0000e-02 eta: 1 day, 17:20:24 time: 0.9255 data_time: 0.0251 memory: 11089 grad_norm: 4.1595 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9818 loss: 1.9818 2022/08/02 20:06:00 - mmengine - INFO - Epoch(train) [64][540/1879] lr: 2.0000e-02 eta: 1 day, 17:20:06 time: 0.9062 data_time: 0.0271 memory: 11089 grad_norm: 4.1709 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8149 loss: 1.8149 2022/08/02 20:06:19 - mmengine - INFO - Epoch(train) [64][560/1879] lr: 2.0000e-02 eta: 1 day, 17:19:47 time: 0.9080 data_time: 0.0280 memory: 11089 grad_norm: 4.1472 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9870 loss: 1.9870 2022/08/02 20:06:37 - mmengine - INFO - Epoch(train) [64][580/1879] lr: 2.0000e-02 eta: 1 day, 17:19:30 time: 0.9384 data_time: 0.0279 memory: 11089 grad_norm: 4.1274 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8676 loss: 1.8676 2022/08/02 20:06:56 - mmengine - INFO - Epoch(train) [64][600/1879] lr: 2.0000e-02 eta: 1 day, 17:19:12 time: 0.9193 data_time: 0.0352 memory: 11089 grad_norm: 4.2038 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1281 loss: 2.1281 2022/08/02 20:07:14 - mmengine - INFO - Epoch(train) [64][620/1879] lr: 2.0000e-02 eta: 1 day, 17:18:53 time: 0.9169 data_time: 0.0261 memory: 11089 grad_norm: 4.0838 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8531 loss: 1.8531 2022/08/02 20:07:17 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 20:07:32 - mmengine - INFO - Epoch(train) [64][640/1879] lr: 2.0000e-02 eta: 1 day, 17:18:35 time: 0.8962 data_time: 0.0277 memory: 11089 grad_norm: 4.0587 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8460 loss: 1.8460 2022/08/02 20:07:50 - mmengine - INFO - Epoch(train) [64][660/1879] lr: 2.0000e-02 eta: 1 day, 17:18:16 time: 0.9075 data_time: 0.0267 memory: 11089 grad_norm: 4.0621 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0068 loss: 2.0068 2022/08/02 20:08:08 - mmengine - INFO - Epoch(train) [64][680/1879] lr: 2.0000e-02 eta: 1 day, 17:17:58 time: 0.9083 data_time: 0.0233 memory: 11089 grad_norm: 4.0911 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8255 loss: 1.8255 2022/08/02 20:08:27 - mmengine - INFO - Epoch(train) [64][700/1879] lr: 2.0000e-02 eta: 1 day, 17:17:40 time: 0.9219 data_time: 0.0292 memory: 11089 grad_norm: 4.1301 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7180 loss: 1.7180 2022/08/02 20:08:45 - mmengine - INFO - Epoch(train) [64][720/1879] lr: 2.0000e-02 eta: 1 day, 17:17:21 time: 0.9069 data_time: 0.0242 memory: 11089 grad_norm: 4.2763 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8944 loss: 1.8944 2022/08/02 20:09:03 - mmengine - INFO - Epoch(train) [64][740/1879] lr: 2.0000e-02 eta: 1 day, 17:17:03 time: 0.9074 data_time: 0.0239 memory: 11089 grad_norm: 4.1722 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9146 loss: 1.9146 2022/08/02 20:09:21 - mmengine - INFO - Epoch(train) [64][760/1879] lr: 2.0000e-02 eta: 1 day, 17:16:45 time: 0.9176 data_time: 0.0363 memory: 11089 grad_norm: 4.0365 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.9165 loss: 1.9165 2022/08/02 20:09:39 - mmengine - INFO - Epoch(train) [64][780/1879] lr: 2.0000e-02 eta: 1 day, 17:16:26 time: 0.9017 data_time: 0.0263 memory: 11089 grad_norm: 4.1560 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8237 loss: 1.8237 2022/08/02 20:09:58 - mmengine - INFO - Epoch(train) [64][800/1879] lr: 2.0000e-02 eta: 1 day, 17:16:08 time: 0.9054 data_time: 0.0236 memory: 11089 grad_norm: 4.1661 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8940 loss: 1.8940 2022/08/02 20:10:16 - mmengine - INFO - Epoch(train) [64][820/1879] lr: 2.0000e-02 eta: 1 day, 17:15:50 time: 0.9223 data_time: 0.0274 memory: 11089 grad_norm: 4.0034 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8268 loss: 1.8268 2022/08/02 20:10:34 - mmengine - INFO - Epoch(train) [64][840/1879] lr: 2.0000e-02 eta: 1 day, 17:15:32 time: 0.9154 data_time: 0.0321 memory: 11089 grad_norm: 4.1258 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.9074 loss: 1.9074 2022/08/02 20:10:53 - mmengine - INFO - Epoch(train) [64][860/1879] lr: 2.0000e-02 eta: 1 day, 17:15:14 time: 0.9339 data_time: 0.0279 memory: 11089 grad_norm: 4.1474 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9603 loss: 1.9603 2022/08/02 20:11:11 - mmengine - INFO - Epoch(train) [64][880/1879] lr: 2.0000e-02 eta: 1 day, 17:14:56 time: 0.9137 data_time: 0.0241 memory: 11089 grad_norm: 4.2251 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8369 loss: 1.8369 2022/08/02 20:11:29 - mmengine - INFO - Epoch(train) [64][900/1879] lr: 2.0000e-02 eta: 1 day, 17:14:37 time: 0.8968 data_time: 0.0295 memory: 11089 grad_norm: 4.2377 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7741 loss: 1.7741 2022/08/02 20:11:47 - mmengine - INFO - Epoch(train) [64][920/1879] lr: 2.0000e-02 eta: 1 day, 17:14:18 time: 0.8991 data_time: 0.0273 memory: 11089 grad_norm: 4.1003 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8835 loss: 1.8835 2022/08/02 20:12:05 - mmengine - INFO - Epoch(train) [64][940/1879] lr: 2.0000e-02 eta: 1 day, 17:14:00 time: 0.9100 data_time: 0.0297 memory: 11089 grad_norm: 4.1321 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0133 loss: 2.0133 2022/08/02 20:12:24 - mmengine - INFO - Epoch(train) [64][960/1879] lr: 2.0000e-02 eta: 1 day, 17:13:42 time: 0.9401 data_time: 0.0288 memory: 11089 grad_norm: 4.1212 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9373 loss: 1.9373 2022/08/02 20:12:43 - mmengine - INFO - Epoch(train) [64][980/1879] lr: 2.0000e-02 eta: 1 day, 17:13:24 time: 0.9223 data_time: 0.0258 memory: 11089 grad_norm: 4.2834 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0461 loss: 2.0461 2022/08/02 20:13:01 - mmengine - INFO - Epoch(train) [64][1000/1879] lr: 2.0000e-02 eta: 1 day, 17:13:06 time: 0.9073 data_time: 0.0265 memory: 11089 grad_norm: 4.1619 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9975 loss: 1.9975 2022/08/02 20:13:19 - mmengine - INFO - Epoch(train) [64][1020/1879] lr: 2.0000e-02 eta: 1 day, 17:12:48 time: 0.9252 data_time: 0.0257 memory: 11089 grad_norm: 4.1898 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1040 loss: 2.1040 2022/08/02 20:13:38 - mmengine - INFO - Epoch(train) [64][1040/1879] lr: 2.0000e-02 eta: 1 day, 17:12:30 time: 0.9281 data_time: 0.0270 memory: 11089 grad_norm: 4.0734 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7948 loss: 1.7948 2022/08/02 20:13:56 - mmengine - INFO - Epoch(train) [64][1060/1879] lr: 2.0000e-02 eta: 1 day, 17:12:12 time: 0.9153 data_time: 0.0273 memory: 11089 grad_norm: 4.1661 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7519 loss: 1.7519 2022/08/02 20:14:14 - mmengine - INFO - Epoch(train) [64][1080/1879] lr: 2.0000e-02 eta: 1 day, 17:11:54 time: 0.9134 data_time: 0.0265 memory: 11089 grad_norm: 4.0499 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7737 loss: 1.7737 2022/08/02 20:14:33 - mmengine - INFO - Epoch(train) [64][1100/1879] lr: 2.0000e-02 eta: 1 day, 17:11:35 time: 0.9196 data_time: 0.0261 memory: 11089 grad_norm: 4.0327 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9646 loss: 1.9646 2022/08/02 20:14:51 - mmengine - INFO - Epoch(train) [64][1120/1879] lr: 2.0000e-02 eta: 1 day, 17:11:18 time: 0.9242 data_time: 0.0347 memory: 11089 grad_norm: 4.1090 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8341 loss: 1.8341 2022/08/02 20:15:10 - mmengine - INFO - Epoch(train) [64][1140/1879] lr: 2.0000e-02 eta: 1 day, 17:10:59 time: 0.9132 data_time: 0.0240 memory: 11089 grad_norm: 4.1645 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0111 loss: 2.0111 2022/08/02 20:15:28 - mmengine - INFO - Epoch(train) [64][1160/1879] lr: 2.0000e-02 eta: 1 day, 17:10:41 time: 0.9164 data_time: 0.0203 memory: 11089 grad_norm: 4.1533 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9729 loss: 1.9729 2022/08/02 20:15:46 - mmengine - INFO - Epoch(train) [64][1180/1879] lr: 2.0000e-02 eta: 1 day, 17:10:23 time: 0.9051 data_time: 0.0243 memory: 11089 grad_norm: 4.1486 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0269 loss: 2.0269 2022/08/02 20:16:05 - mmengine - INFO - Epoch(train) [64][1200/1879] lr: 2.0000e-02 eta: 1 day, 17:10:05 time: 0.9220 data_time: 0.0244 memory: 11089 grad_norm: 4.1095 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9589 loss: 1.9589 2022/08/02 20:16:23 - mmengine - INFO - Epoch(train) [64][1220/1879] lr: 2.0000e-02 eta: 1 day, 17:09:46 time: 0.9128 data_time: 0.0278 memory: 11089 grad_norm: 4.1924 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7893 loss: 1.7893 2022/08/02 20:16:41 - mmengine - INFO - Epoch(train) [64][1240/1879] lr: 2.0000e-02 eta: 1 day, 17:09:28 time: 0.9074 data_time: 0.0301 memory: 11089 grad_norm: 4.1908 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9808 loss: 1.9808 2022/08/02 20:16:59 - mmengine - INFO - Epoch(train) [64][1260/1879] lr: 2.0000e-02 eta: 1 day, 17:09:09 time: 0.9015 data_time: 0.0263 memory: 11089 grad_norm: 4.2090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8021 loss: 1.8021 2022/08/02 20:17:17 - mmengine - INFO - Epoch(train) [64][1280/1879] lr: 2.0000e-02 eta: 1 day, 17:08:51 time: 0.9229 data_time: 0.0280 memory: 11089 grad_norm: 4.0981 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8067 loss: 1.8067 2022/08/02 20:17:36 - mmengine - INFO - Epoch(train) [64][1300/1879] lr: 2.0000e-02 eta: 1 day, 17:08:34 time: 0.9333 data_time: 0.0405 memory: 11089 grad_norm: 4.2341 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1335 loss: 2.1335 2022/08/02 20:17:55 - mmengine - INFO - Epoch(train) [64][1320/1879] lr: 2.0000e-02 eta: 1 day, 17:08:16 time: 0.9235 data_time: 0.0239 memory: 11089 grad_norm: 4.0699 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7548 loss: 1.7548 2022/08/02 20:18:13 - mmengine - INFO - Epoch(train) [64][1340/1879] lr: 2.0000e-02 eta: 1 day, 17:07:58 time: 0.9326 data_time: 0.0374 memory: 11089 grad_norm: 4.2320 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0023 loss: 2.0023 2022/08/02 20:18:32 - mmengine - INFO - Epoch(train) [64][1360/1879] lr: 2.0000e-02 eta: 1 day, 17:07:40 time: 0.9139 data_time: 0.0230 memory: 11089 grad_norm: 4.0625 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9144 loss: 1.9144 2022/08/02 20:18:50 - mmengine - INFO - Epoch(train) [64][1380/1879] lr: 2.0000e-02 eta: 1 day, 17:07:21 time: 0.9091 data_time: 0.0264 memory: 11089 grad_norm: 4.1126 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9104 loss: 1.9104 2022/08/02 20:19:09 - mmengine - INFO - Epoch(train) [64][1400/1879] lr: 2.0000e-02 eta: 1 day, 17:07:04 time: 0.9421 data_time: 0.0291 memory: 11089 grad_norm: 4.1020 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9712 loss: 1.9712 2022/08/02 20:19:27 - mmengine - INFO - Epoch(train) [64][1420/1879] lr: 2.0000e-02 eta: 1 day, 17:06:46 time: 0.9322 data_time: 0.0285 memory: 11089 grad_norm: 4.1943 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1239 loss: 2.1239 2022/08/02 20:19:45 - mmengine - INFO - Epoch(train) [64][1440/1879] lr: 2.0000e-02 eta: 1 day, 17:06:28 time: 0.9134 data_time: 0.0267 memory: 11089 grad_norm: 4.0535 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0469 loss: 2.0469 2022/08/02 20:20:04 - mmengine - INFO - Epoch(train) [64][1460/1879] lr: 2.0000e-02 eta: 1 day, 17:06:09 time: 0.9111 data_time: 0.0312 memory: 11089 grad_norm: 4.0413 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 1.7646 loss: 1.7646 2022/08/02 20:20:22 - mmengine - INFO - Epoch(train) [64][1480/1879] lr: 2.0000e-02 eta: 1 day, 17:05:51 time: 0.9033 data_time: 0.0255 memory: 11089 grad_norm: 4.2246 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8346 loss: 1.8346 2022/08/02 20:20:41 - mmengine - INFO - Epoch(train) [64][1500/1879] lr: 2.0000e-02 eta: 1 day, 17:05:33 time: 0.9384 data_time: 0.0281 memory: 11089 grad_norm: 4.2138 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9155 loss: 1.9155 2022/08/02 20:20:59 - mmengine - INFO - Epoch(train) [64][1520/1879] lr: 2.0000e-02 eta: 1 day, 17:05:15 time: 0.9249 data_time: 0.0311 memory: 11089 grad_norm: 4.1195 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0314 loss: 2.0314 2022/08/02 20:21:18 - mmengine - INFO - Epoch(train) [64][1540/1879] lr: 2.0000e-02 eta: 1 day, 17:04:58 time: 0.9424 data_time: 0.0293 memory: 11089 grad_norm: 4.0479 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8858 loss: 1.8858 2022/08/02 20:21:36 - mmengine - INFO - Epoch(train) [64][1560/1879] lr: 2.0000e-02 eta: 1 day, 17:04:40 time: 0.9201 data_time: 0.0318 memory: 11089 grad_norm: 4.2050 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9562 loss: 1.9562 2022/08/02 20:21:55 - mmengine - INFO - Epoch(train) [64][1580/1879] lr: 2.0000e-02 eta: 1 day, 17:04:21 time: 0.9135 data_time: 0.0218 memory: 11089 grad_norm: 4.0427 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0037 loss: 2.0037 2022/08/02 20:22:13 - mmengine - INFO - Epoch(train) [64][1600/1879] lr: 2.0000e-02 eta: 1 day, 17:04:04 time: 0.9286 data_time: 0.0244 memory: 11089 grad_norm: 4.0848 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9554 loss: 1.9554 2022/08/02 20:22:32 - mmengine - INFO - Epoch(train) [64][1620/1879] lr: 2.0000e-02 eta: 1 day, 17:03:45 time: 0.9202 data_time: 0.0249 memory: 11089 grad_norm: 4.0709 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8237 loss: 1.8237 2022/08/02 20:22:34 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 20:22:50 - mmengine - INFO - Epoch(train) [64][1640/1879] lr: 2.0000e-02 eta: 1 day, 17:03:27 time: 0.9094 data_time: 0.0260 memory: 11089 grad_norm: 3.9355 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0258 loss: 2.0258 2022/08/02 20:23:08 - mmengine - INFO - Epoch(train) [64][1660/1879] lr: 2.0000e-02 eta: 1 day, 17:03:09 time: 0.9335 data_time: 0.0302 memory: 11089 grad_norm: 4.1624 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8915 loss: 1.8915 2022/08/02 20:23:27 - mmengine - INFO - Epoch(train) [64][1680/1879] lr: 2.0000e-02 eta: 1 day, 17:02:51 time: 0.9272 data_time: 0.0261 memory: 11089 grad_norm: 4.0604 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0687 loss: 2.0687 2022/08/02 20:23:45 - mmengine - INFO - Epoch(train) [64][1700/1879] lr: 2.0000e-02 eta: 1 day, 17:02:33 time: 0.9185 data_time: 0.0281 memory: 11089 grad_norm: 4.0517 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1086 loss: 2.1086 2022/08/02 20:24:04 - mmengine - INFO - Epoch(train) [64][1720/1879] lr: 2.0000e-02 eta: 1 day, 17:02:15 time: 0.9246 data_time: 0.0255 memory: 11089 grad_norm: 4.1858 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1289 loss: 2.1289 2022/08/02 20:24:22 - mmengine - INFO - Epoch(train) [64][1740/1879] lr: 2.0000e-02 eta: 1 day, 17:01:57 time: 0.9065 data_time: 0.0267 memory: 11089 grad_norm: 4.1365 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9945 loss: 1.9945 2022/08/02 20:24:40 - mmengine - INFO - Epoch(train) [64][1760/1879] lr: 2.0000e-02 eta: 1 day, 17:01:39 time: 0.9178 data_time: 0.0287 memory: 11089 grad_norm: 4.1259 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1808 loss: 2.1808 2022/08/02 20:24:59 - mmengine - INFO - Epoch(train) [64][1780/1879] lr: 2.0000e-02 eta: 1 day, 17:01:21 time: 0.9472 data_time: 0.0317 memory: 11089 grad_norm: 4.1848 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8975 loss: 1.8975 2022/08/02 20:25:18 - mmengine - INFO - Epoch(train) [64][1800/1879] lr: 2.0000e-02 eta: 1 day, 17:01:03 time: 0.9235 data_time: 0.0227 memory: 11089 grad_norm: 4.1633 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8598 loss: 1.8598 2022/08/02 20:25:36 - mmengine - INFO - Epoch(train) [64][1820/1879] lr: 2.0000e-02 eta: 1 day, 17:00:45 time: 0.9153 data_time: 0.0283 memory: 11089 grad_norm: 4.1488 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0062 loss: 2.0062 2022/08/02 20:25:54 - mmengine - INFO - Epoch(train) [64][1840/1879] lr: 2.0000e-02 eta: 1 day, 17:00:27 time: 0.9211 data_time: 0.0298 memory: 11089 grad_norm: 4.1652 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9836 loss: 1.9836 2022/08/02 20:26:13 - mmengine - INFO - Epoch(train) [64][1860/1879] lr: 2.0000e-02 eta: 1 day, 17:00:09 time: 0.9192 data_time: 0.0284 memory: 11089 grad_norm: 4.1429 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1636 loss: 2.1636 2022/08/02 20:26:30 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 20:26:30 - mmengine - INFO - Epoch(train) [64][1879/1879] lr: 2.0000e-02 eta: 1 day, 17:00:09 time: 0.9128 data_time: 0.0257 memory: 11089 grad_norm: 4.1648 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.1259 loss: 2.1259 2022/08/02 20:26:30 - mmengine - INFO - Saving checkpoint at 64 epochs 2022/08/02 20:26:52 - mmengine - INFO - Epoch(train) [65][20/1879] lr: 2.0000e-02 eta: 1 day, 16:59:12 time: 0.9801 data_time: 0.1137 memory: 11089 grad_norm: 4.1810 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7961 loss: 1.7961 2022/08/02 20:27:11 - mmengine - INFO - Epoch(train) [65][40/1879] lr: 2.0000e-02 eta: 1 day, 16:58:54 time: 0.9192 data_time: 0.0250 memory: 11089 grad_norm: 4.1626 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0228 loss: 2.0228 2022/08/02 20:27:29 - mmengine - INFO - Epoch(train) [65][60/1879] lr: 2.0000e-02 eta: 1 day, 16:58:36 time: 0.9178 data_time: 0.0232 memory: 11089 grad_norm: 4.0549 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0029 loss: 2.0029 2022/08/02 20:27:48 - mmengine - INFO - Epoch(train) [65][80/1879] lr: 2.0000e-02 eta: 1 day, 16:58:18 time: 0.9209 data_time: 0.0269 memory: 11089 grad_norm: 4.0733 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0752 loss: 2.0752 2022/08/02 20:28:06 - mmengine - INFO - Epoch(train) [65][100/1879] lr: 2.0000e-02 eta: 1 day, 16:57:59 time: 0.9121 data_time: 0.0274 memory: 11089 grad_norm: 4.1897 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0740 loss: 2.0740 2022/08/02 20:28:25 - mmengine - INFO - Epoch(train) [65][120/1879] lr: 2.0000e-02 eta: 1 day, 16:57:42 time: 0.9433 data_time: 0.0340 memory: 11089 grad_norm: 4.1209 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6551 loss: 1.6551 2022/08/02 20:28:43 - mmengine - INFO - Epoch(train) [65][140/1879] lr: 2.0000e-02 eta: 1 day, 16:57:24 time: 0.9213 data_time: 0.0325 memory: 11089 grad_norm: 4.1060 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7885 loss: 1.7885 2022/08/02 20:29:01 - mmengine - INFO - Epoch(train) [65][160/1879] lr: 2.0000e-02 eta: 1 day, 16:57:06 time: 0.9130 data_time: 0.0262 memory: 11089 grad_norm: 4.1684 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9638 loss: 1.9638 2022/08/02 20:29:20 - mmengine - INFO - Epoch(train) [65][180/1879] lr: 2.0000e-02 eta: 1 day, 16:56:48 time: 0.9220 data_time: 0.0272 memory: 11089 grad_norm: 4.1187 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8300 loss: 1.8300 2022/08/02 20:29:38 - mmengine - INFO - Epoch(train) [65][200/1879] lr: 2.0000e-02 eta: 1 day, 16:56:30 time: 0.9252 data_time: 0.0263 memory: 11089 grad_norm: 4.1654 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9793 loss: 1.9793 2022/08/02 20:29:57 - mmengine - INFO - Epoch(train) [65][220/1879] lr: 2.0000e-02 eta: 1 day, 16:56:12 time: 0.9264 data_time: 0.0290 memory: 11089 grad_norm: 4.1751 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8379 loss: 1.8379 2022/08/02 20:30:15 - mmengine - INFO - Epoch(train) [65][240/1879] lr: 2.0000e-02 eta: 1 day, 16:55:54 time: 0.9252 data_time: 0.0320 memory: 11089 grad_norm: 4.0762 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6592 loss: 1.6592 2022/08/02 20:30:34 - mmengine - INFO - Epoch(train) [65][260/1879] lr: 2.0000e-02 eta: 1 day, 16:55:36 time: 0.9299 data_time: 0.0216 memory: 11089 grad_norm: 4.3184 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1923 loss: 2.1923 2022/08/02 20:30:52 - mmengine - INFO - Epoch(train) [65][280/1879] lr: 2.0000e-02 eta: 1 day, 16:55:18 time: 0.9207 data_time: 0.0259 memory: 11089 grad_norm: 4.1170 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8955 loss: 1.8955 2022/08/02 20:31:11 - mmengine - INFO - Epoch(train) [65][300/1879] lr: 2.0000e-02 eta: 1 day, 16:55:00 time: 0.9199 data_time: 0.0337 memory: 11089 grad_norm: 4.1192 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8289 loss: 1.8289 2022/08/02 20:31:29 - mmengine - INFO - Epoch(train) [65][320/1879] lr: 2.0000e-02 eta: 1 day, 16:54:41 time: 0.9116 data_time: 0.0214 memory: 11089 grad_norm: 4.0997 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9889 loss: 1.9889 2022/08/02 20:31:48 - mmengine - INFO - Epoch(train) [65][340/1879] lr: 2.0000e-02 eta: 1 day, 16:54:24 time: 0.9290 data_time: 0.0263 memory: 11089 grad_norm: 4.0673 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0021 loss: 2.0021 2022/08/02 20:32:06 - mmengine - INFO - Epoch(train) [65][360/1879] lr: 2.0000e-02 eta: 1 day, 16:54:06 time: 0.9269 data_time: 0.0249 memory: 11089 grad_norm: 4.1638 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9425 loss: 1.9425 2022/08/02 20:32:25 - mmengine - INFO - Epoch(train) [65][380/1879] lr: 2.0000e-02 eta: 1 day, 16:53:48 time: 0.9208 data_time: 0.0242 memory: 11089 grad_norm: 4.1332 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7590 loss: 1.7590 2022/08/02 20:32:43 - mmengine - INFO - Epoch(train) [65][400/1879] lr: 2.0000e-02 eta: 1 day, 16:53:29 time: 0.9121 data_time: 0.0214 memory: 11089 grad_norm: 4.1469 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8810 loss: 1.8810 2022/08/02 20:33:02 - mmengine - INFO - Epoch(train) [65][420/1879] lr: 2.0000e-02 eta: 1 day, 16:53:12 time: 0.9371 data_time: 0.0302 memory: 11089 grad_norm: 4.0832 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7685 loss: 1.7685 2022/08/02 20:33:20 - mmengine - INFO - Epoch(train) [65][440/1879] lr: 2.0000e-02 eta: 1 day, 16:52:54 time: 0.9167 data_time: 0.0251 memory: 11089 grad_norm: 4.1538 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9378 loss: 1.9378 2022/08/02 20:33:38 - mmengine - INFO - Epoch(train) [65][460/1879] lr: 2.0000e-02 eta: 1 day, 16:52:35 time: 0.9143 data_time: 0.0253 memory: 11089 grad_norm: 4.0653 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9056 loss: 1.9056 2022/08/02 20:33:57 - mmengine - INFO - Epoch(train) [65][480/1879] lr: 2.0000e-02 eta: 1 day, 16:52:18 time: 0.9354 data_time: 0.0304 memory: 11089 grad_norm: 4.0616 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7992 loss: 1.7992 2022/08/02 20:34:15 - mmengine - INFO - Epoch(train) [65][500/1879] lr: 2.0000e-02 eta: 1 day, 16:51:59 time: 0.9071 data_time: 0.0319 memory: 11089 grad_norm: 4.1603 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.1273 loss: 2.1273 2022/08/02 20:34:33 - mmengine - INFO - Epoch(train) [65][520/1879] lr: 2.0000e-02 eta: 1 day, 16:51:41 time: 0.9118 data_time: 0.0274 memory: 11089 grad_norm: 4.1740 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8918 loss: 1.8918 2022/08/02 20:34:51 - mmengine - INFO - Epoch(train) [65][540/1879] lr: 2.0000e-02 eta: 1 day, 16:51:22 time: 0.8981 data_time: 0.0263 memory: 11089 grad_norm: 4.1971 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9794 loss: 1.9794 2022/08/02 20:35:10 - mmengine - INFO - Epoch(train) [65][560/1879] lr: 2.0000e-02 eta: 1 day, 16:51:04 time: 0.9178 data_time: 0.0261 memory: 11089 grad_norm: 4.0209 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8595 loss: 1.8595 2022/08/02 20:35:28 - mmengine - INFO - Epoch(train) [65][580/1879] lr: 2.0000e-02 eta: 1 day, 16:50:46 time: 0.9035 data_time: 0.0280 memory: 11089 grad_norm: 4.0428 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7049 loss: 1.7049 2022/08/02 20:35:46 - mmengine - INFO - Epoch(train) [65][600/1879] lr: 2.0000e-02 eta: 1 day, 16:50:28 time: 0.9276 data_time: 0.0303 memory: 11089 grad_norm: 4.2543 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1673 loss: 2.1673 2022/08/02 20:36:05 - mmengine - INFO - Epoch(train) [65][620/1879] lr: 2.0000e-02 eta: 1 day, 16:50:10 time: 0.9299 data_time: 0.0320 memory: 11089 grad_norm: 4.1450 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9898 loss: 1.9898 2022/08/02 20:36:24 - mmengine - INFO - Epoch(train) [65][640/1879] lr: 2.0000e-02 eta: 1 day, 16:49:52 time: 0.9400 data_time: 0.0370 memory: 11089 grad_norm: 4.0793 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9035 loss: 1.9035 2022/08/02 20:36:42 - mmengine - INFO - Epoch(train) [65][660/1879] lr: 2.0000e-02 eta: 1 day, 16:49:34 time: 0.9147 data_time: 0.0294 memory: 11089 grad_norm: 4.0430 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8895 loss: 1.8895 2022/08/02 20:37:01 - mmengine - INFO - Epoch(train) [65][680/1879] lr: 2.0000e-02 eta: 1 day, 16:49:16 time: 0.9360 data_time: 0.0330 memory: 11089 grad_norm: 4.1028 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7718 loss: 1.7718 2022/08/02 20:37:19 - mmengine - INFO - Epoch(train) [65][700/1879] lr: 2.0000e-02 eta: 1 day, 16:48:59 time: 0.9267 data_time: 0.0242 memory: 11089 grad_norm: 4.1951 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9313 loss: 1.9313 2022/08/02 20:37:37 - mmengine - INFO - Epoch(train) [65][720/1879] lr: 2.0000e-02 eta: 1 day, 16:48:40 time: 0.9126 data_time: 0.0266 memory: 11089 grad_norm: 4.1746 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7837 loss: 1.7837 2022/08/02 20:37:56 - mmengine - INFO - Epoch(train) [65][740/1879] lr: 2.0000e-02 eta: 1 day, 16:48:22 time: 0.9222 data_time: 0.0272 memory: 11089 grad_norm: 4.1942 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.0352 loss: 2.0352 2022/08/02 20:38:00 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 20:38:14 - mmengine - INFO - Epoch(train) [65][760/1879] lr: 2.0000e-02 eta: 1 day, 16:48:03 time: 0.8937 data_time: 0.0230 memory: 11089 grad_norm: 3.9696 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8637 loss: 1.8637 2022/08/02 20:38:31 - mmengine - INFO - Epoch(train) [65][780/1879] lr: 2.0000e-02 eta: 1 day, 16:47:44 time: 0.8647 data_time: 0.0258 memory: 11089 grad_norm: 4.1511 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.8599 loss: 1.8599 2022/08/02 20:38:50 - mmengine - INFO - Epoch(train) [65][800/1879] lr: 2.0000e-02 eta: 1 day, 16:47:26 time: 0.9169 data_time: 0.0271 memory: 11089 grad_norm: 4.1015 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8142 loss: 1.8142 2022/08/02 20:39:08 - mmengine - INFO - Epoch(train) [65][820/1879] lr: 2.0000e-02 eta: 1 day, 16:47:08 time: 0.9194 data_time: 0.0367 memory: 11089 grad_norm: 4.1129 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9627 loss: 1.9627 2022/08/02 20:39:26 - mmengine - INFO - Epoch(train) [65][840/1879] lr: 2.0000e-02 eta: 1 day, 16:46:49 time: 0.9200 data_time: 0.0322 memory: 11089 grad_norm: 4.1511 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9832 loss: 1.9832 2022/08/02 20:39:45 - mmengine - INFO - Epoch(train) [65][860/1879] lr: 2.0000e-02 eta: 1 day, 16:46:32 time: 0.9494 data_time: 0.0372 memory: 11089 grad_norm: 4.1799 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0873 loss: 2.0873 2022/08/02 20:40:03 - mmengine - INFO - Epoch(train) [65][880/1879] lr: 2.0000e-02 eta: 1 day, 16:46:14 time: 0.9117 data_time: 0.0307 memory: 11089 grad_norm: 4.1249 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9115 loss: 1.9115 2022/08/02 20:40:22 - mmengine - INFO - Epoch(train) [65][900/1879] lr: 2.0000e-02 eta: 1 day, 16:45:56 time: 0.9168 data_time: 0.0264 memory: 11089 grad_norm: 4.1162 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8178 loss: 1.8178 2022/08/02 20:40:40 - mmengine - INFO - Epoch(train) [65][920/1879] lr: 2.0000e-02 eta: 1 day, 16:45:37 time: 0.9027 data_time: 0.0255 memory: 11089 grad_norm: 4.1155 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9409 loss: 1.9409 2022/08/02 20:40:59 - mmengine - INFO - Epoch(train) [65][940/1879] lr: 2.0000e-02 eta: 1 day, 16:45:19 time: 0.9346 data_time: 0.0315 memory: 11089 grad_norm: 4.1308 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9073 loss: 1.9073 2022/08/02 20:41:17 - mmengine - INFO - Epoch(train) [65][960/1879] lr: 2.0000e-02 eta: 1 day, 16:45:02 time: 0.9289 data_time: 0.0358 memory: 11089 grad_norm: 4.0697 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8662 loss: 1.8662 2022/08/02 20:41:36 - mmengine - INFO - Epoch(train) [65][980/1879] lr: 2.0000e-02 eta: 1 day, 16:44:44 time: 0.9424 data_time: 0.0326 memory: 11089 grad_norm: 4.2360 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9726 loss: 1.9726 2022/08/02 20:41:54 - mmengine - INFO - Epoch(train) [65][1000/1879] lr: 2.0000e-02 eta: 1 day, 16:44:26 time: 0.9249 data_time: 0.0226 memory: 11089 grad_norm: 4.1649 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0447 loss: 2.0447 2022/08/02 20:42:13 - mmengine - INFO - Epoch(train) [65][1020/1879] lr: 2.0000e-02 eta: 1 day, 16:44:08 time: 0.9089 data_time: 0.0301 memory: 11089 grad_norm: 4.1911 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9493 loss: 1.9493 2022/08/02 20:42:31 - mmengine - INFO - Epoch(train) [65][1040/1879] lr: 2.0000e-02 eta: 1 day, 16:43:50 time: 0.9184 data_time: 0.0233 memory: 11089 grad_norm: 4.2108 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1378 loss: 2.1378 2022/08/02 20:42:50 - mmengine - INFO - Epoch(train) [65][1060/1879] lr: 2.0000e-02 eta: 1 day, 16:43:32 time: 0.9389 data_time: 0.0357 memory: 11089 grad_norm: 4.0773 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7443 loss: 1.7443 2022/08/02 20:43:08 - mmengine - INFO - Epoch(train) [65][1080/1879] lr: 2.0000e-02 eta: 1 day, 16:43:14 time: 0.9228 data_time: 0.0294 memory: 11089 grad_norm: 4.1664 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9528 loss: 1.9528 2022/08/02 20:43:27 - mmengine - INFO - Epoch(train) [65][1100/1879] lr: 2.0000e-02 eta: 1 day, 16:42:56 time: 0.9186 data_time: 0.0305 memory: 11089 grad_norm: 4.0756 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8784 loss: 1.8784 2022/08/02 20:43:45 - mmengine - INFO - Epoch(train) [65][1120/1879] lr: 2.0000e-02 eta: 1 day, 16:42:38 time: 0.9216 data_time: 0.0247 memory: 11089 grad_norm: 4.2060 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9197 loss: 1.9197 2022/08/02 20:44:04 - mmengine - INFO - Epoch(train) [65][1140/1879] lr: 2.0000e-02 eta: 1 day, 16:42:20 time: 0.9220 data_time: 0.0245 memory: 11089 grad_norm: 4.1792 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8938 loss: 1.8938 2022/08/02 20:44:22 - mmengine - INFO - Epoch(train) [65][1160/1879] lr: 2.0000e-02 eta: 1 day, 16:42:02 time: 0.9142 data_time: 0.0284 memory: 11089 grad_norm: 4.0041 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8980 loss: 1.8980 2022/08/02 20:44:40 - mmengine - INFO - Epoch(train) [65][1180/1879] lr: 2.0000e-02 eta: 1 day, 16:41:44 time: 0.9263 data_time: 0.0302 memory: 11089 grad_norm: 4.2065 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0290 loss: 2.0290 2022/08/02 20:44:59 - mmengine - INFO - Epoch(train) [65][1200/1879] lr: 2.0000e-02 eta: 1 day, 16:41:25 time: 0.9089 data_time: 0.0298 memory: 11089 grad_norm: 4.1257 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.8452 loss: 1.8452 2022/08/02 20:45:17 - mmengine - INFO - Epoch(train) [65][1220/1879] lr: 2.0000e-02 eta: 1 day, 16:41:07 time: 0.9167 data_time: 0.0277 memory: 11089 grad_norm: 4.2353 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0464 loss: 2.0464 2022/08/02 20:45:35 - mmengine - INFO - Epoch(train) [65][1240/1879] lr: 2.0000e-02 eta: 1 day, 16:40:49 time: 0.9073 data_time: 0.0265 memory: 11089 grad_norm: 4.0729 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7480 loss: 1.7480 2022/08/02 20:45:53 - mmengine - INFO - Epoch(train) [65][1260/1879] lr: 2.0000e-02 eta: 1 day, 16:40:30 time: 0.9052 data_time: 0.0243 memory: 11089 grad_norm: 4.0598 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7748 loss: 1.7748 2022/08/02 20:46:11 - mmengine - INFO - Epoch(train) [65][1280/1879] lr: 2.0000e-02 eta: 1 day, 16:40:12 time: 0.9016 data_time: 0.0249 memory: 11089 grad_norm: 4.0482 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9779 loss: 1.9779 2022/08/02 20:46:30 - mmengine - INFO - Epoch(train) [65][1300/1879] lr: 2.0000e-02 eta: 1 day, 16:39:54 time: 0.9215 data_time: 0.0383 memory: 11089 grad_norm: 4.2646 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0643 loss: 2.0643 2022/08/02 20:46:48 - mmengine - INFO - Epoch(train) [65][1320/1879] lr: 2.0000e-02 eta: 1 day, 16:39:35 time: 0.9102 data_time: 0.0239 memory: 11089 grad_norm: 4.1718 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0080 loss: 2.0080 2022/08/02 20:47:06 - mmengine - INFO - Epoch(train) [65][1340/1879] lr: 2.0000e-02 eta: 1 day, 16:39:17 time: 0.9110 data_time: 0.0236 memory: 11089 grad_norm: 4.1135 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0385 loss: 2.0385 2022/08/02 20:47:24 - mmengine - INFO - Epoch(train) [65][1360/1879] lr: 2.0000e-02 eta: 1 day, 16:38:59 time: 0.9076 data_time: 0.0246 memory: 11089 grad_norm: 4.1211 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0748 loss: 2.0748 2022/08/02 20:47:43 - mmengine - INFO - Epoch(train) [65][1380/1879] lr: 2.0000e-02 eta: 1 day, 16:38:41 time: 0.9434 data_time: 0.0376 memory: 11089 grad_norm: 4.1013 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8119 loss: 1.8119 2022/08/02 20:48:02 - mmengine - INFO - Epoch(train) [65][1400/1879] lr: 2.0000e-02 eta: 1 day, 16:38:23 time: 0.9268 data_time: 0.0261 memory: 11089 grad_norm: 4.1837 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0102 loss: 2.0102 2022/08/02 20:48:20 - mmengine - INFO - Epoch(train) [65][1420/1879] lr: 2.0000e-02 eta: 1 day, 16:38:05 time: 0.9145 data_time: 0.0233 memory: 11089 grad_norm: 4.1831 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2964 loss: 2.2964 2022/08/02 20:48:38 - mmengine - INFO - Epoch(train) [65][1440/1879] lr: 2.0000e-02 eta: 1 day, 16:37:47 time: 0.9168 data_time: 0.0358 memory: 11089 grad_norm: 4.0832 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9783 loss: 1.9783 2022/08/02 20:48:57 - mmengine - INFO - Epoch(train) [65][1460/1879] lr: 2.0000e-02 eta: 1 day, 16:37:29 time: 0.9275 data_time: 0.0241 memory: 11089 grad_norm: 4.1772 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1435 loss: 2.1435 2022/08/02 20:49:15 - mmengine - INFO - Epoch(train) [65][1480/1879] lr: 2.0000e-02 eta: 1 day, 16:37:11 time: 0.9251 data_time: 0.0400 memory: 11089 grad_norm: 4.0969 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0009 loss: 2.0009 2022/08/02 20:49:34 - mmengine - INFO - Epoch(train) [65][1500/1879] lr: 2.0000e-02 eta: 1 day, 16:36:53 time: 0.9469 data_time: 0.0291 memory: 11089 grad_norm: 4.1077 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1415 loss: 2.1415 2022/08/02 20:49:53 - mmengine - INFO - Epoch(train) [65][1520/1879] lr: 2.0000e-02 eta: 1 day, 16:36:36 time: 0.9248 data_time: 0.0270 memory: 11089 grad_norm: 4.2684 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9868 loss: 1.9868 2022/08/02 20:50:11 - mmengine - INFO - Epoch(train) [65][1540/1879] lr: 2.0000e-02 eta: 1 day, 16:36:17 time: 0.9080 data_time: 0.0318 memory: 11089 grad_norm: 4.0478 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8112 loss: 1.8112 2022/08/02 20:50:29 - mmengine - INFO - Epoch(train) [65][1560/1879] lr: 2.0000e-02 eta: 1 day, 16:35:59 time: 0.9117 data_time: 0.0292 memory: 11089 grad_norm: 4.1409 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8064 loss: 1.8064 2022/08/02 20:50:48 - mmengine - INFO - Epoch(train) [65][1580/1879] lr: 2.0000e-02 eta: 1 day, 16:35:41 time: 0.9211 data_time: 0.0307 memory: 11089 grad_norm: 4.0470 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8846 loss: 1.8846 2022/08/02 20:51:06 - mmengine - INFO - Epoch(train) [65][1600/1879] lr: 2.0000e-02 eta: 1 day, 16:35:23 time: 0.9308 data_time: 0.0295 memory: 11089 grad_norm: 4.1424 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0303 loss: 2.0303 2022/08/02 20:51:24 - mmengine - INFO - Epoch(train) [65][1620/1879] lr: 2.0000e-02 eta: 1 day, 16:35:05 time: 0.9124 data_time: 0.0237 memory: 11089 grad_norm: 4.0270 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8682 loss: 1.8682 2022/08/02 20:51:43 - mmengine - INFO - Epoch(train) [65][1640/1879] lr: 2.0000e-02 eta: 1 day, 16:34:46 time: 0.9103 data_time: 0.0257 memory: 11089 grad_norm: 4.0755 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7430 loss: 1.7430 2022/08/02 20:52:01 - mmengine - INFO - Epoch(train) [65][1660/1879] lr: 2.0000e-02 eta: 1 day, 16:34:28 time: 0.9044 data_time: 0.0196 memory: 11089 grad_norm: 4.2892 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0679 loss: 2.0679 2022/08/02 20:52:19 - mmengine - INFO - Epoch(train) [65][1680/1879] lr: 2.0000e-02 eta: 1 day, 16:34:10 time: 0.9262 data_time: 0.0312 memory: 11089 grad_norm: 4.0822 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0583 loss: 2.0583 2022/08/02 20:52:38 - mmengine - INFO - Epoch(train) [65][1700/1879] lr: 2.0000e-02 eta: 1 day, 16:33:52 time: 0.9184 data_time: 0.0275 memory: 11089 grad_norm: 4.1669 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0329 loss: 2.0329 2022/08/02 20:52:56 - mmengine - INFO - Epoch(train) [65][1720/1879] lr: 2.0000e-02 eta: 1 day, 16:33:34 time: 0.9247 data_time: 0.0233 memory: 11089 grad_norm: 4.1156 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9971 loss: 1.9971 2022/08/02 20:53:14 - mmengine - INFO - Epoch(train) [65][1740/1879] lr: 2.0000e-02 eta: 1 day, 16:33:16 time: 0.9190 data_time: 0.0355 memory: 11089 grad_norm: 3.9892 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0098 loss: 2.0098 2022/08/02 20:53:18 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 20:53:33 - mmengine - INFO - Epoch(train) [65][1760/1879] lr: 2.0000e-02 eta: 1 day, 16:32:57 time: 0.9107 data_time: 0.0285 memory: 11089 grad_norm: 4.0703 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0725 loss: 2.0725 2022/08/02 20:53:51 - mmengine - INFO - Epoch(train) [65][1780/1879] lr: 2.0000e-02 eta: 1 day, 16:32:39 time: 0.9232 data_time: 0.0323 memory: 11089 grad_norm: 4.1391 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7946 loss: 1.7946 2022/08/02 20:54:10 - mmengine - INFO - Epoch(train) [65][1800/1879] lr: 2.0000e-02 eta: 1 day, 16:32:21 time: 0.9217 data_time: 0.0240 memory: 11089 grad_norm: 4.2243 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0431 loss: 2.0431 2022/08/02 20:54:28 - mmengine - INFO - Epoch(train) [65][1820/1879] lr: 2.0000e-02 eta: 1 day, 16:32:03 time: 0.9175 data_time: 0.0248 memory: 11089 grad_norm: 4.1003 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7907 loss: 1.7907 2022/08/02 20:54:47 - mmengine - INFO - Epoch(train) [65][1840/1879] lr: 2.0000e-02 eta: 1 day, 16:31:45 time: 0.9313 data_time: 0.0213 memory: 11089 grad_norm: 4.0822 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9734 loss: 1.9734 2022/08/02 20:55:05 - mmengine - INFO - Epoch(train) [65][1860/1879] lr: 2.0000e-02 eta: 1 day, 16:31:27 time: 0.9186 data_time: 0.0332 memory: 11089 grad_norm: 4.1063 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0896 loss: 2.0896 2022/08/02 20:55:22 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 20:55:22 - mmengine - INFO - Epoch(train) [65][1879/1879] lr: 2.0000e-02 eta: 1 day, 16:31:27 time: 0.9032 data_time: 0.0261 memory: 11089 grad_norm: 4.2085 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.0743 loss: 2.0743 2022/08/02 20:55:31 - mmengine - INFO - Epoch(val) [65][20/155] eta: 0:00:58 time: 0.4368 data_time: 0.1257 memory: 1950 2022/08/02 20:55:37 - mmengine - INFO - Epoch(val) [65][40/155] eta: 0:00:36 time: 0.3184 data_time: 0.0111 memory: 1950 2022/08/02 20:55:44 - mmengine - INFO - Epoch(val) [65][60/155] eta: 0:00:30 time: 0.3244 data_time: 0.0114 memory: 1950 2022/08/02 20:55:50 - mmengine - INFO - Epoch(val) [65][80/155] eta: 0:00:24 time: 0.3298 data_time: 0.0125 memory: 1950 2022/08/02 20:55:57 - mmengine - INFO - Epoch(val) [65][100/155] eta: 0:00:17 time: 0.3240 data_time: 0.0120 memory: 1950 2022/08/02 20:56:04 - mmengine - INFO - Epoch(val) [65][120/155] eta: 0:00:11 time: 0.3409 data_time: 0.0115 memory: 1950 2022/08/02 20:56:12 - mmengine - INFO - Epoch(val) [65][140/155] eta: 0:00:05 time: 0.3910 data_time: 0.0096 memory: 1950 2022/08/02 20:56:19 - mmengine - INFO - Epoch(val) [65][155/155] acc/top1: 0.6088 acc/top5: 0.8376 acc/mean1: 0.6087 2022/08/02 20:56:40 - mmengine - INFO - Epoch(train) [66][20/1879] lr: 2.0000e-02 eta: 1 day, 16:30:31 time: 1.0018 data_time: 0.1254 memory: 11089 grad_norm: 4.1133 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9458 loss: 1.9458 2022/08/02 20:56:58 - mmengine - INFO - Epoch(train) [66][40/1879] lr: 2.0000e-02 eta: 1 day, 16:30:13 time: 0.9322 data_time: 0.0331 memory: 11089 grad_norm: 4.0424 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8571 loss: 1.8571 2022/08/02 20:57:16 - mmengine - INFO - Epoch(train) [66][60/1879] lr: 2.0000e-02 eta: 1 day, 16:29:55 time: 0.9145 data_time: 0.0276 memory: 11089 grad_norm: 4.2309 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9830 loss: 1.9830 2022/08/02 20:57:35 - mmengine - INFO - Epoch(train) [66][80/1879] lr: 2.0000e-02 eta: 1 day, 16:29:37 time: 0.9174 data_time: 0.0325 memory: 11089 grad_norm: 4.1996 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9464 loss: 1.9464 2022/08/02 20:57:53 - mmengine - INFO - Epoch(train) [66][100/1879] lr: 2.0000e-02 eta: 1 day, 16:29:19 time: 0.9245 data_time: 0.0315 memory: 11089 grad_norm: 4.1126 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7168 loss: 1.7168 2022/08/02 20:58:12 - mmengine - INFO - Epoch(train) [66][120/1879] lr: 2.0000e-02 eta: 1 day, 16:29:01 time: 0.9262 data_time: 0.0305 memory: 11089 grad_norm: 4.0369 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8241 loss: 1.8241 2022/08/02 20:58:30 - mmengine - INFO - Epoch(train) [66][140/1879] lr: 2.0000e-02 eta: 1 day, 16:28:43 time: 0.9259 data_time: 0.0327 memory: 11089 grad_norm: 4.1817 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5867 loss: 1.5867 2022/08/02 20:58:49 - mmengine - INFO - Epoch(train) [66][160/1879] lr: 2.0000e-02 eta: 1 day, 16:28:25 time: 0.9091 data_time: 0.0283 memory: 11089 grad_norm: 4.1905 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8725 loss: 1.8725 2022/08/02 20:59:07 - mmengine - INFO - Epoch(train) [66][180/1879] lr: 2.0000e-02 eta: 1 day, 16:28:07 time: 0.9204 data_time: 0.0277 memory: 11089 grad_norm: 4.1601 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7303 loss: 1.7303 2022/08/02 20:59:25 - mmengine - INFO - Epoch(train) [66][200/1879] lr: 2.0000e-02 eta: 1 day, 16:27:49 time: 0.9155 data_time: 0.0316 memory: 11089 grad_norm: 4.0102 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7718 loss: 1.7718 2022/08/02 20:59:44 - mmengine - INFO - Epoch(train) [66][220/1879] lr: 2.0000e-02 eta: 1 day, 16:27:31 time: 0.9212 data_time: 0.0311 memory: 11089 grad_norm: 4.0634 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6519 loss: 1.6519 2022/08/02 21:00:03 - mmengine - INFO - Epoch(train) [66][240/1879] lr: 2.0000e-02 eta: 1 day, 16:27:13 time: 0.9420 data_time: 0.0331 memory: 11089 grad_norm: 4.1284 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7797 loss: 1.7797 2022/08/02 21:00:21 - mmengine - INFO - Epoch(train) [66][260/1879] lr: 2.0000e-02 eta: 1 day, 16:26:55 time: 0.9138 data_time: 0.0285 memory: 11089 grad_norm: 4.2382 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9207 loss: 1.9207 2022/08/02 21:00:39 - mmengine - INFO - Epoch(train) [66][280/1879] lr: 2.0000e-02 eta: 1 day, 16:26:37 time: 0.9246 data_time: 0.0319 memory: 11089 grad_norm: 4.2323 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8943 loss: 1.8943 2022/08/02 21:00:58 - mmengine - INFO - Epoch(train) [66][300/1879] lr: 2.0000e-02 eta: 1 day, 16:26:19 time: 0.9205 data_time: 0.0210 memory: 11089 grad_norm: 4.2971 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9026 loss: 1.9026 2022/08/02 21:01:16 - mmengine - INFO - Epoch(train) [66][320/1879] lr: 2.0000e-02 eta: 1 day, 16:26:01 time: 0.9377 data_time: 0.0281 memory: 11089 grad_norm: 4.1836 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0114 loss: 2.0114 2022/08/02 21:01:35 - mmengine - INFO - Epoch(train) [66][340/1879] lr: 2.0000e-02 eta: 1 day, 16:25:43 time: 0.9215 data_time: 0.0242 memory: 11089 grad_norm: 3.9943 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8882 loss: 1.8882 2022/08/02 21:01:53 - mmengine - INFO - Epoch(train) [66][360/1879] lr: 2.0000e-02 eta: 1 day, 16:25:25 time: 0.9092 data_time: 0.0286 memory: 11089 grad_norm: 4.1747 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9685 loss: 1.9685 2022/08/02 21:02:11 - mmengine - INFO - Epoch(train) [66][380/1879] lr: 2.0000e-02 eta: 1 day, 16:25:06 time: 0.9103 data_time: 0.0268 memory: 11089 grad_norm: 4.0805 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6247 loss: 1.6247 2022/08/02 21:02:30 - mmengine - INFO - Epoch(train) [66][400/1879] lr: 2.0000e-02 eta: 1 day, 16:24:48 time: 0.9106 data_time: 0.0292 memory: 11089 grad_norm: 4.1771 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8468 loss: 1.8468 2022/08/02 21:02:48 - mmengine - INFO - Epoch(train) [66][420/1879] lr: 2.0000e-02 eta: 1 day, 16:24:30 time: 0.9279 data_time: 0.0251 memory: 11089 grad_norm: 4.1940 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0298 loss: 2.0298 2022/08/02 21:03:06 - mmengine - INFO - Epoch(train) [66][440/1879] lr: 2.0000e-02 eta: 1 day, 16:24:12 time: 0.9076 data_time: 0.0266 memory: 11089 grad_norm: 4.1171 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0681 loss: 2.0681 2022/08/02 21:03:24 - mmengine - INFO - Epoch(train) [66][460/1879] lr: 2.0000e-02 eta: 1 day, 16:23:53 time: 0.9042 data_time: 0.0263 memory: 11089 grad_norm: 4.0791 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8616 loss: 1.8616 2022/08/02 21:03:43 - mmengine - INFO - Epoch(train) [66][480/1879] lr: 2.0000e-02 eta: 1 day, 16:23:35 time: 0.9145 data_time: 0.0250 memory: 11089 grad_norm: 4.2639 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9494 loss: 1.9494 2022/08/02 21:04:01 - mmengine - INFO - Epoch(train) [66][500/1879] lr: 2.0000e-02 eta: 1 day, 16:23:17 time: 0.9213 data_time: 0.0271 memory: 11089 grad_norm: 4.1335 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8670 loss: 1.8670 2022/08/02 21:04:19 - mmengine - INFO - Epoch(train) [66][520/1879] lr: 2.0000e-02 eta: 1 day, 16:22:59 time: 0.9203 data_time: 0.0280 memory: 11089 grad_norm: 4.1895 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8492 loss: 1.8492 2022/08/02 21:04:38 - mmengine - INFO - Epoch(train) [66][540/1879] lr: 2.0000e-02 eta: 1 day, 16:22:41 time: 0.9215 data_time: 0.0267 memory: 11089 grad_norm: 4.0850 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9332 loss: 1.9332 2022/08/02 21:04:56 - mmengine - INFO - Epoch(train) [66][560/1879] lr: 2.0000e-02 eta: 1 day, 16:22:23 time: 0.9232 data_time: 0.0250 memory: 11089 grad_norm: 4.1976 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8678 loss: 1.8678 2022/08/02 21:05:15 - mmengine - INFO - Epoch(train) [66][580/1879] lr: 2.0000e-02 eta: 1 day, 16:22:05 time: 0.9201 data_time: 0.0284 memory: 11089 grad_norm: 4.0846 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9575 loss: 1.9575 2022/08/02 21:05:33 - mmengine - INFO - Epoch(train) [66][600/1879] lr: 2.0000e-02 eta: 1 day, 16:21:47 time: 0.9216 data_time: 0.0230 memory: 11089 grad_norm: 4.1660 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9632 loss: 1.9632 2022/08/02 21:05:52 - mmengine - INFO - Epoch(train) [66][620/1879] lr: 2.0000e-02 eta: 1 day, 16:21:29 time: 0.9201 data_time: 0.0289 memory: 11089 grad_norm: 4.2144 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9752 loss: 1.9752 2022/08/02 21:06:10 - mmengine - INFO - Epoch(train) [66][640/1879] lr: 2.0000e-02 eta: 1 day, 16:21:11 time: 0.9337 data_time: 0.0322 memory: 11089 grad_norm: 4.2942 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9109 loss: 1.9109 2022/08/02 21:06:28 - mmengine - INFO - Epoch(train) [66][660/1879] lr: 2.0000e-02 eta: 1 day, 16:20:52 time: 0.9018 data_time: 0.0261 memory: 11089 grad_norm: 4.4038 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9661 loss: 1.9661 2022/08/02 21:06:46 - mmengine - INFO - Epoch(train) [66][680/1879] lr: 2.0000e-02 eta: 1 day, 16:20:34 time: 0.8989 data_time: 0.0229 memory: 11089 grad_norm: 4.1322 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9054 loss: 1.9054 2022/08/02 21:07:04 - mmengine - INFO - Epoch(train) [66][700/1879] lr: 2.0000e-02 eta: 1 day, 16:20:15 time: 0.9038 data_time: 0.0271 memory: 11089 grad_norm: 4.0269 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8089 loss: 1.8089 2022/08/02 21:07:23 - mmengine - INFO - Epoch(train) [66][720/1879] lr: 2.0000e-02 eta: 1 day, 16:19:57 time: 0.9256 data_time: 0.0280 memory: 11089 grad_norm: 4.0551 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9775 loss: 1.9775 2022/08/02 21:07:41 - mmengine - INFO - Epoch(train) [66][740/1879] lr: 2.0000e-02 eta: 1 day, 16:19:39 time: 0.9092 data_time: 0.0257 memory: 11089 grad_norm: 4.1588 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0110 loss: 2.0110 2022/08/02 21:07:59 - mmengine - INFO - Epoch(train) [66][760/1879] lr: 2.0000e-02 eta: 1 day, 16:19:21 time: 0.9120 data_time: 0.0262 memory: 11089 grad_norm: 4.2644 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7793 loss: 1.7793 2022/08/02 21:08:18 - mmengine - INFO - Epoch(train) [66][780/1879] lr: 2.0000e-02 eta: 1 day, 16:19:03 time: 0.9396 data_time: 0.0368 memory: 11089 grad_norm: 4.0869 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0430 loss: 2.0430 2022/08/02 21:08:37 - mmengine - INFO - Epoch(train) [66][800/1879] lr: 2.0000e-02 eta: 1 day, 16:18:45 time: 0.9300 data_time: 0.0224 memory: 11089 grad_norm: 4.1616 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8430 loss: 1.8430 2022/08/02 21:08:56 - mmengine - INFO - Epoch(train) [66][820/1879] lr: 2.0000e-02 eta: 1 day, 16:18:28 time: 0.9408 data_time: 0.0351 memory: 11089 grad_norm: 4.1874 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9673 loss: 1.9673 2022/08/02 21:09:14 - mmengine - INFO - Epoch(train) [66][840/1879] lr: 2.0000e-02 eta: 1 day, 16:18:10 time: 0.9441 data_time: 0.0276 memory: 11089 grad_norm: 4.0518 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9704 loss: 1.9704 2022/08/02 21:09:33 - mmengine - INFO - Epoch(train) [66][860/1879] lr: 2.0000e-02 eta: 1 day, 16:17:52 time: 0.9254 data_time: 0.0243 memory: 11089 grad_norm: 4.1296 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9574 loss: 1.9574 2022/08/02 21:09:38 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 21:09:51 - mmengine - INFO - Epoch(train) [66][880/1879] lr: 2.0000e-02 eta: 1 day, 16:17:34 time: 0.9073 data_time: 0.0255 memory: 11089 grad_norm: 4.1230 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8722 loss: 1.8722 2022/08/02 21:10:10 - mmengine - INFO - Epoch(train) [66][900/1879] lr: 2.0000e-02 eta: 1 day, 16:17:16 time: 0.9278 data_time: 0.0283 memory: 11089 grad_norm: 4.2107 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0851 loss: 2.0851 2022/08/02 21:10:28 - mmengine - INFO - Epoch(train) [66][920/1879] lr: 2.0000e-02 eta: 1 day, 16:16:58 time: 0.9285 data_time: 0.0262 memory: 11089 grad_norm: 4.1355 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9304 loss: 1.9304 2022/08/02 21:10:47 - mmengine - INFO - Epoch(train) [66][940/1879] lr: 2.0000e-02 eta: 1 day, 16:16:41 time: 0.9480 data_time: 0.0296 memory: 11089 grad_norm: 4.0996 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9690 loss: 1.9690 2022/08/02 21:11:06 - mmengine - INFO - Epoch(train) [66][960/1879] lr: 2.0000e-02 eta: 1 day, 16:16:22 time: 0.9165 data_time: 0.0318 memory: 11089 grad_norm: 4.1149 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0070 loss: 2.0070 2022/08/02 21:11:24 - mmengine - INFO - Epoch(train) [66][980/1879] lr: 2.0000e-02 eta: 1 day, 16:16:04 time: 0.9085 data_time: 0.0207 memory: 11089 grad_norm: 4.0988 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9061 loss: 1.9061 2022/08/02 21:11:42 - mmengine - INFO - Epoch(train) [66][1000/1879] lr: 2.0000e-02 eta: 1 day, 16:15:46 time: 0.9131 data_time: 0.0248 memory: 11089 grad_norm: 4.1676 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8738 loss: 1.8738 2022/08/02 21:12:00 - mmengine - INFO - Epoch(train) [66][1020/1879] lr: 2.0000e-02 eta: 1 day, 16:15:28 time: 0.9144 data_time: 0.0291 memory: 11089 grad_norm: 4.2325 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9993 loss: 1.9993 2022/08/02 21:12:19 - mmengine - INFO - Epoch(train) [66][1040/1879] lr: 2.0000e-02 eta: 1 day, 16:15:10 time: 0.9347 data_time: 0.0290 memory: 11089 grad_norm: 4.1843 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1566 loss: 2.1566 2022/08/02 21:12:38 - mmengine - INFO - Epoch(train) [66][1060/1879] lr: 2.0000e-02 eta: 1 day, 16:14:52 time: 0.9280 data_time: 0.0376 memory: 11089 grad_norm: 4.1050 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9611 loss: 1.9611 2022/08/02 21:12:56 - mmengine - INFO - Epoch(train) [66][1080/1879] lr: 2.0000e-02 eta: 1 day, 16:14:33 time: 0.9012 data_time: 0.0279 memory: 11089 grad_norm: 4.1251 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8070 loss: 1.8070 2022/08/02 21:13:14 - mmengine - INFO - Epoch(train) [66][1100/1879] lr: 2.0000e-02 eta: 1 day, 16:14:15 time: 0.9204 data_time: 0.0253 memory: 11089 grad_norm: 4.0382 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7286 loss: 1.7286 2022/08/02 21:13:32 - mmengine - INFO - Epoch(train) [66][1120/1879] lr: 2.0000e-02 eta: 1 day, 16:13:57 time: 0.9214 data_time: 0.0279 memory: 11089 grad_norm: 4.1571 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9821 loss: 1.9821 2022/08/02 21:13:51 - mmengine - INFO - Epoch(train) [66][1140/1879] lr: 2.0000e-02 eta: 1 day, 16:13:40 time: 0.9463 data_time: 0.0260 memory: 11089 grad_norm: 4.2212 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0087 loss: 2.0087 2022/08/02 21:14:10 - mmengine - INFO - Epoch(train) [66][1160/1879] lr: 2.0000e-02 eta: 1 day, 16:13:21 time: 0.9090 data_time: 0.0279 memory: 11089 grad_norm: 4.1238 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8398 loss: 1.8398 2022/08/02 21:14:28 - mmengine - INFO - Epoch(train) [66][1180/1879] lr: 2.0000e-02 eta: 1 day, 16:13:03 time: 0.9171 data_time: 0.0225 memory: 11089 grad_norm: 4.1147 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0644 loss: 2.0644 2022/08/02 21:14:46 - mmengine - INFO - Epoch(train) [66][1200/1879] lr: 2.0000e-02 eta: 1 day, 16:12:45 time: 0.9078 data_time: 0.0293 memory: 11089 grad_norm: 4.1597 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8005 loss: 1.8005 2022/08/02 21:15:04 - mmengine - INFO - Epoch(train) [66][1220/1879] lr: 2.0000e-02 eta: 1 day, 16:12:27 time: 0.9108 data_time: 0.0320 memory: 11089 grad_norm: 4.1633 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1351 loss: 2.1351 2022/08/02 21:15:23 - mmengine - INFO - Epoch(train) [66][1240/1879] lr: 2.0000e-02 eta: 1 day, 16:12:09 time: 0.9348 data_time: 0.0289 memory: 11089 grad_norm: 4.1415 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9458 loss: 1.9458 2022/08/02 21:15:42 - mmengine - INFO - Epoch(train) [66][1260/1879] lr: 2.0000e-02 eta: 1 day, 16:11:51 time: 0.9406 data_time: 0.0356 memory: 11089 grad_norm: 4.0366 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0150 loss: 2.0150 2022/08/02 21:16:00 - mmengine - INFO - Epoch(train) [66][1280/1879] lr: 2.0000e-02 eta: 1 day, 16:11:33 time: 0.9328 data_time: 0.0316 memory: 11089 grad_norm: 4.1404 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8866 loss: 1.8866 2022/08/02 21:16:19 - mmengine - INFO - Epoch(train) [66][1300/1879] lr: 2.0000e-02 eta: 1 day, 16:11:16 time: 0.9261 data_time: 0.0336 memory: 11089 grad_norm: 4.1549 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9772 loss: 1.9772 2022/08/02 21:16:37 - mmengine - INFO - Epoch(train) [66][1320/1879] lr: 2.0000e-02 eta: 1 day, 16:10:57 time: 0.9172 data_time: 0.0274 memory: 11089 grad_norm: 4.1231 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.0587 loss: 2.0587 2022/08/02 21:16:56 - mmengine - INFO - Epoch(train) [66][1340/1879] lr: 2.0000e-02 eta: 1 day, 16:10:39 time: 0.9252 data_time: 0.0299 memory: 11089 grad_norm: 4.0627 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8063 loss: 1.8063 2022/08/02 21:17:15 - mmengine - INFO - Epoch(train) [66][1360/1879] lr: 2.0000e-02 eta: 1 day, 16:10:22 time: 0.9368 data_time: 0.0304 memory: 11089 grad_norm: 4.1003 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8702 loss: 1.8702 2022/08/02 21:17:33 - mmengine - INFO - Epoch(train) [66][1380/1879] lr: 2.0000e-02 eta: 1 day, 16:10:03 time: 0.9016 data_time: 0.0278 memory: 11089 grad_norm: 4.2510 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1035 loss: 2.1035 2022/08/02 21:17:51 - mmengine - INFO - Epoch(train) [66][1400/1879] lr: 2.0000e-02 eta: 1 day, 16:09:45 time: 0.9218 data_time: 0.0264 memory: 11089 grad_norm: 4.1195 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1760 loss: 2.1760 2022/08/02 21:18:10 - mmengine - INFO - Epoch(train) [66][1420/1879] lr: 2.0000e-02 eta: 1 day, 16:09:27 time: 0.9328 data_time: 0.0264 memory: 11089 grad_norm: 4.0961 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.0353 loss: 2.0353 2022/08/02 21:18:28 - mmengine - INFO - Epoch(train) [66][1440/1879] lr: 2.0000e-02 eta: 1 day, 16:09:09 time: 0.9229 data_time: 0.0302 memory: 11089 grad_norm: 4.1773 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9152 loss: 1.9152 2022/08/02 21:18:46 - mmengine - INFO - Epoch(train) [66][1460/1879] lr: 2.0000e-02 eta: 1 day, 16:08:51 time: 0.9057 data_time: 0.0274 memory: 11089 grad_norm: 4.2211 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1155 loss: 2.1155 2022/08/02 21:19:04 - mmengine - INFO - Epoch(train) [66][1480/1879] lr: 2.0000e-02 eta: 1 day, 16:08:33 time: 0.9115 data_time: 0.0257 memory: 11089 grad_norm: 4.2059 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9585 loss: 1.9585 2022/08/02 21:19:23 - mmengine - INFO - Epoch(train) [66][1500/1879] lr: 2.0000e-02 eta: 1 day, 16:08:14 time: 0.9108 data_time: 0.0238 memory: 11089 grad_norm: 4.1780 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1623 loss: 2.1623 2022/08/02 21:19:41 - mmengine - INFO - Epoch(train) [66][1520/1879] lr: 2.0000e-02 eta: 1 day, 16:07:56 time: 0.9170 data_time: 0.0254 memory: 11089 grad_norm: 4.1087 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0163 loss: 2.0163 2022/08/02 21:20:00 - mmengine - INFO - Epoch(train) [66][1540/1879] lr: 2.0000e-02 eta: 1 day, 16:07:38 time: 0.9274 data_time: 0.0343 memory: 11089 grad_norm: 4.2198 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0175 loss: 2.0175 2022/08/02 21:20:18 - mmengine - INFO - Epoch(train) [66][1560/1879] lr: 2.0000e-02 eta: 1 day, 16:07:20 time: 0.9076 data_time: 0.0257 memory: 11089 grad_norm: 4.1587 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8559 loss: 1.8559 2022/08/02 21:20:36 - mmengine - INFO - Epoch(train) [66][1580/1879] lr: 2.0000e-02 eta: 1 day, 16:07:02 time: 0.9195 data_time: 0.0271 memory: 11089 grad_norm: 4.0953 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9215 loss: 1.9215 2022/08/02 21:20:54 - mmengine - INFO - Epoch(train) [66][1600/1879] lr: 2.0000e-02 eta: 1 day, 16:06:43 time: 0.9133 data_time: 0.0243 memory: 11089 grad_norm: 4.1121 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8775 loss: 1.8775 2022/08/02 21:21:13 - mmengine - INFO - Epoch(train) [66][1620/1879] lr: 2.0000e-02 eta: 1 day, 16:06:25 time: 0.9208 data_time: 0.0297 memory: 11089 grad_norm: 4.1638 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9841 loss: 1.9841 2022/08/02 21:21:32 - mmengine - INFO - Epoch(train) [66][1640/1879] lr: 2.0000e-02 eta: 1 day, 16:06:08 time: 0.9374 data_time: 0.0279 memory: 11089 grad_norm: 4.2353 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0107 loss: 2.0107 2022/08/02 21:21:50 - mmengine - INFO - Epoch(train) [66][1660/1879] lr: 2.0000e-02 eta: 1 day, 16:05:49 time: 0.9057 data_time: 0.0260 memory: 11089 grad_norm: 4.1758 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9053 loss: 1.9053 2022/08/02 21:22:08 - mmengine - INFO - Epoch(train) [66][1680/1879] lr: 2.0000e-02 eta: 1 day, 16:05:31 time: 0.9114 data_time: 0.0315 memory: 11089 grad_norm: 4.1095 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9034 loss: 1.9034 2022/08/02 21:22:26 - mmengine - INFO - Epoch(train) [66][1700/1879] lr: 2.0000e-02 eta: 1 day, 16:05:13 time: 0.9102 data_time: 0.0258 memory: 11089 grad_norm: 4.2071 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8394 loss: 1.8394 2022/08/02 21:22:44 - mmengine - INFO - Epoch(train) [66][1720/1879] lr: 2.0000e-02 eta: 1 day, 16:04:54 time: 0.9135 data_time: 0.0294 memory: 11089 grad_norm: 4.1941 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9040 loss: 1.9040 2022/08/02 21:23:03 - mmengine - INFO - Epoch(train) [66][1740/1879] lr: 2.0000e-02 eta: 1 day, 16:04:36 time: 0.9250 data_time: 0.0271 memory: 11089 grad_norm: 4.1288 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9991 loss: 1.9991 2022/08/02 21:23:21 - mmengine - INFO - Epoch(train) [66][1760/1879] lr: 2.0000e-02 eta: 1 day, 16:04:18 time: 0.9209 data_time: 0.0300 memory: 11089 grad_norm: 4.1929 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1480 loss: 2.1480 2022/08/02 21:23:40 - mmengine - INFO - Epoch(train) [66][1780/1879] lr: 2.0000e-02 eta: 1 day, 16:04:00 time: 0.9224 data_time: 0.0262 memory: 11089 grad_norm: 4.0647 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9200 loss: 1.9200 2022/08/02 21:23:58 - mmengine - INFO - Epoch(train) [66][1800/1879] lr: 2.0000e-02 eta: 1 day, 16:03:42 time: 0.9082 data_time: 0.0276 memory: 11089 grad_norm: 3.9891 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8492 loss: 1.8492 2022/08/02 21:24:16 - mmengine - INFO - Epoch(train) [66][1820/1879] lr: 2.0000e-02 eta: 1 day, 16:03:24 time: 0.9151 data_time: 0.0280 memory: 11089 grad_norm: 4.1467 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8345 loss: 1.8345 2022/08/02 21:24:34 - mmengine - INFO - Epoch(train) [66][1840/1879] lr: 2.0000e-02 eta: 1 day, 16:03:05 time: 0.9042 data_time: 0.0310 memory: 11089 grad_norm: 4.1898 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0740 loss: 2.0740 2022/08/02 21:24:52 - mmengine - INFO - Epoch(train) [66][1860/1879] lr: 2.0000e-02 eta: 1 day, 16:02:46 time: 0.8921 data_time: 0.0211 memory: 11089 grad_norm: 4.2938 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9983 loss: 1.9983 2022/08/02 21:24:57 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 21:25:09 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 21:25:09 - mmengine - INFO - Epoch(train) [66][1879/1879] lr: 2.0000e-02 eta: 1 day, 16:02:46 time: 0.9065 data_time: 0.0262 memory: 11089 grad_norm: 4.2675 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.8998 loss: 1.8998 2022/08/02 21:25:29 - mmengine - INFO - Epoch(train) [67][20/1879] lr: 2.0000e-02 eta: 1 day, 16:01:50 time: 0.9767 data_time: 0.1128 memory: 11089 grad_norm: 4.0329 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8855 loss: 1.8855 2022/08/02 21:25:47 - mmengine - INFO - Epoch(train) [67][40/1879] lr: 2.0000e-02 eta: 1 day, 16:01:31 time: 0.8883 data_time: 0.0199 memory: 11089 grad_norm: 4.1803 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8142 loss: 1.8142 2022/08/02 21:26:05 - mmengine - INFO - Epoch(train) [67][60/1879] lr: 2.0000e-02 eta: 1 day, 16:01:13 time: 0.9004 data_time: 0.0238 memory: 11089 grad_norm: 4.1171 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8376 loss: 1.8376 2022/08/02 21:26:24 - mmengine - INFO - Epoch(train) [67][80/1879] lr: 2.0000e-02 eta: 1 day, 16:00:55 time: 0.9335 data_time: 0.0456 memory: 11089 grad_norm: 4.2310 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8060 loss: 1.8060 2022/08/02 21:26:42 - mmengine - INFO - Epoch(train) [67][100/1879] lr: 2.0000e-02 eta: 1 day, 16:00:37 time: 0.9230 data_time: 0.0240 memory: 11089 grad_norm: 4.1924 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7890 loss: 1.7890 2022/08/02 21:27:01 - mmengine - INFO - Epoch(train) [67][120/1879] lr: 2.0000e-02 eta: 1 day, 16:00:19 time: 0.9343 data_time: 0.0335 memory: 11089 grad_norm: 4.1911 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0010 loss: 2.0010 2022/08/02 21:27:19 - mmengine - INFO - Epoch(train) [67][140/1879] lr: 2.0000e-02 eta: 1 day, 16:00:01 time: 0.9267 data_time: 0.0314 memory: 11089 grad_norm: 4.1859 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8999 loss: 1.8999 2022/08/02 21:27:37 - mmengine - INFO - Epoch(train) [67][160/1879] lr: 2.0000e-02 eta: 1 day, 15:59:43 time: 0.8974 data_time: 0.0251 memory: 11089 grad_norm: 4.0140 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8183 loss: 1.8183 2022/08/02 21:27:56 - mmengine - INFO - Epoch(train) [67][180/1879] lr: 2.0000e-02 eta: 1 day, 15:59:25 time: 0.9317 data_time: 0.0235 memory: 11089 grad_norm: 4.1891 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.2011 loss: 2.2011 2022/08/02 21:28:14 - mmengine - INFO - Epoch(train) [67][200/1879] lr: 2.0000e-02 eta: 1 day, 15:59:07 time: 0.9197 data_time: 0.0248 memory: 11089 grad_norm: 4.1356 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9871 loss: 1.9871 2022/08/02 21:28:33 - mmengine - INFO - Epoch(train) [67][220/1879] lr: 2.0000e-02 eta: 1 day, 15:58:49 time: 0.9318 data_time: 0.0288 memory: 11089 grad_norm: 4.1191 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0090 loss: 2.0090 2022/08/02 21:28:51 - mmengine - INFO - Epoch(train) [67][240/1879] lr: 2.0000e-02 eta: 1 day, 15:58:31 time: 0.9109 data_time: 0.0301 memory: 11089 grad_norm: 4.1078 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9327 loss: 1.9327 2022/08/02 21:29:10 - mmengine - INFO - Epoch(train) [67][260/1879] lr: 2.0000e-02 eta: 1 day, 15:58:13 time: 0.9308 data_time: 0.0232 memory: 11089 grad_norm: 4.1832 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8658 loss: 1.8658 2022/08/02 21:29:28 - mmengine - INFO - Epoch(train) [67][280/1879] lr: 2.0000e-02 eta: 1 day, 15:57:54 time: 0.9081 data_time: 0.0256 memory: 11089 grad_norm: 4.0709 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9876 loss: 1.9876 2022/08/02 21:29:46 - mmengine - INFO - Epoch(train) [67][300/1879] lr: 2.0000e-02 eta: 1 day, 15:57:36 time: 0.9238 data_time: 0.0306 memory: 11089 grad_norm: 4.1458 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9301 loss: 1.9301 2022/08/02 21:30:05 - mmengine - INFO - Epoch(train) [67][320/1879] lr: 2.0000e-02 eta: 1 day, 15:57:18 time: 0.9092 data_time: 0.0268 memory: 11089 grad_norm: 4.0792 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9026 loss: 1.9026 2022/08/02 21:30:23 - mmengine - INFO - Epoch(train) [67][340/1879] lr: 2.0000e-02 eta: 1 day, 15:57:00 time: 0.9243 data_time: 0.0303 memory: 11089 grad_norm: 4.2468 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.7831 loss: 1.7831 2022/08/02 21:30:42 - mmengine - INFO - Epoch(train) [67][360/1879] lr: 2.0000e-02 eta: 1 day, 15:56:42 time: 0.9308 data_time: 0.0252 memory: 11089 grad_norm: 4.2144 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8411 loss: 1.8411 2022/08/02 21:31:00 - mmengine - INFO - Epoch(train) [67][380/1879] lr: 2.0000e-02 eta: 1 day, 15:56:24 time: 0.9194 data_time: 0.0243 memory: 11089 grad_norm: 4.2265 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8830 loss: 1.8830 2022/08/02 21:31:18 - mmengine - INFO - Epoch(train) [67][400/1879] lr: 2.0000e-02 eta: 1 day, 15:56:06 time: 0.9070 data_time: 0.0243 memory: 11089 grad_norm: 4.1161 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8339 loss: 1.8339 2022/08/02 21:31:34 - mmengine - INFO - Epoch(train) [67][420/1879] lr: 2.0000e-02 eta: 1 day, 15:55:44 time: 0.7829 data_time: 0.0246 memory: 11089 grad_norm: 4.2082 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9820 loss: 1.9820 2022/08/02 21:31:52 - mmengine - INFO - Epoch(train) [67][440/1879] lr: 2.0000e-02 eta: 1 day, 15:55:26 time: 0.9117 data_time: 0.0207 memory: 11089 grad_norm: 4.1614 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9526 loss: 1.9526 2022/08/02 21:32:10 - mmengine - INFO - Epoch(train) [67][460/1879] lr: 2.0000e-02 eta: 1 day, 15:55:07 time: 0.9057 data_time: 0.0325 memory: 11089 grad_norm: 4.1851 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7578 loss: 1.7578 2022/08/02 21:32:29 - mmengine - INFO - Epoch(train) [67][480/1879] lr: 2.0000e-02 eta: 1 day, 15:54:49 time: 0.9154 data_time: 0.0229 memory: 11089 grad_norm: 4.1222 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9443 loss: 1.9443 2022/08/02 21:32:47 - mmengine - INFO - Epoch(train) [67][500/1879] lr: 2.0000e-02 eta: 1 day, 15:54:31 time: 0.9312 data_time: 0.0333 memory: 11089 grad_norm: 4.2263 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9782 loss: 1.9782 2022/08/02 21:33:06 - mmengine - INFO - Epoch(train) [67][520/1879] lr: 2.0000e-02 eta: 1 day, 15:54:14 time: 0.9251 data_time: 0.0268 memory: 11089 grad_norm: 4.1276 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1796 loss: 2.1796 2022/08/02 21:33:24 - mmengine - INFO - Epoch(train) [67][540/1879] lr: 2.0000e-02 eta: 1 day, 15:53:56 time: 0.9233 data_time: 0.0359 memory: 11089 grad_norm: 4.0982 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0050 loss: 2.0050 2022/08/02 21:33:43 - mmengine - INFO - Epoch(train) [67][560/1879] lr: 2.0000e-02 eta: 1 day, 15:53:38 time: 0.9481 data_time: 0.0300 memory: 11089 grad_norm: 4.1263 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0483 loss: 2.0483 2022/08/02 21:34:01 - mmengine - INFO - Epoch(train) [67][580/1879] lr: 2.0000e-02 eta: 1 day, 15:53:20 time: 0.9173 data_time: 0.0305 memory: 11089 grad_norm: 4.2880 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0516 loss: 2.0516 2022/08/02 21:34:20 - mmengine - INFO - Epoch(train) [67][600/1879] lr: 2.0000e-02 eta: 1 day, 15:53:02 time: 0.9108 data_time: 0.0239 memory: 11089 grad_norm: 4.0341 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6767 loss: 1.6767 2022/08/02 21:34:38 - mmengine - INFO - Epoch(train) [67][620/1879] lr: 2.0000e-02 eta: 1 day, 15:52:43 time: 0.9074 data_time: 0.0314 memory: 11089 grad_norm: 4.2726 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8256 loss: 1.8256 2022/08/02 21:34:56 - mmengine - INFO - Epoch(train) [67][640/1879] lr: 2.0000e-02 eta: 1 day, 15:52:25 time: 0.9129 data_time: 0.0221 memory: 11089 grad_norm: 4.1529 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8397 loss: 1.8397 2022/08/02 21:35:14 - mmengine - INFO - Epoch(train) [67][660/1879] lr: 2.0000e-02 eta: 1 day, 15:52:07 time: 0.9198 data_time: 0.0311 memory: 11089 grad_norm: 4.2200 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7818 loss: 1.7818 2022/08/02 21:35:33 - mmengine - INFO - Epoch(train) [67][680/1879] lr: 2.0000e-02 eta: 1 day, 15:51:48 time: 0.9089 data_time: 0.0270 memory: 11089 grad_norm: 4.2411 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8278 loss: 1.8278 2022/08/02 21:35:51 - mmengine - INFO - Epoch(train) [67][700/1879] lr: 2.0000e-02 eta: 1 day, 15:51:30 time: 0.9197 data_time: 0.0276 memory: 11089 grad_norm: 4.1987 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8091 loss: 1.8091 2022/08/02 21:36:12 - mmengine - INFO - Epoch(train) [67][720/1879] lr: 2.0000e-02 eta: 1 day, 15:51:15 time: 1.0241 data_time: 0.0328 memory: 11089 grad_norm: 4.2287 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0845 loss: 2.0845 2022/08/02 21:36:30 - mmengine - INFO - Epoch(train) [67][740/1879] lr: 2.0000e-02 eta: 1 day, 15:50:57 time: 0.9340 data_time: 0.0352 memory: 11089 grad_norm: 4.1560 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1846 loss: 2.1846 2022/08/02 21:36:48 - mmengine - INFO - Epoch(train) [67][760/1879] lr: 2.0000e-02 eta: 1 day, 15:50:39 time: 0.8990 data_time: 0.0290 memory: 11089 grad_norm: 4.1713 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9682 loss: 1.9682 2022/08/02 21:37:07 - mmengine - INFO - Epoch(train) [67][780/1879] lr: 2.0000e-02 eta: 1 day, 15:50:21 time: 0.9336 data_time: 0.0273 memory: 11089 grad_norm: 4.0521 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9249 loss: 1.9249 2022/08/02 21:37:25 - mmengine - INFO - Epoch(train) [67][800/1879] lr: 2.0000e-02 eta: 1 day, 15:50:03 time: 0.9168 data_time: 0.0237 memory: 11089 grad_norm: 4.1549 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9986 loss: 1.9986 2022/08/02 21:37:44 - mmengine - INFO - Epoch(train) [67][820/1879] lr: 2.0000e-02 eta: 1 day, 15:49:45 time: 0.9190 data_time: 0.0291 memory: 11089 grad_norm: 4.1186 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9422 loss: 1.9422 2022/08/02 21:38:02 - mmengine - INFO - Epoch(train) [67][840/1879] lr: 2.0000e-02 eta: 1 day, 15:49:26 time: 0.9077 data_time: 0.0289 memory: 11089 grad_norm: 4.2387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9994 loss: 1.9994 2022/08/02 21:38:20 - mmengine - INFO - Epoch(train) [67][860/1879] lr: 2.0000e-02 eta: 1 day, 15:49:08 time: 0.9142 data_time: 0.0237 memory: 11089 grad_norm: 4.0770 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8172 loss: 1.8172 2022/08/02 21:38:38 - mmengine - INFO - Epoch(train) [67][880/1879] lr: 2.0000e-02 eta: 1 day, 15:48:50 time: 0.9121 data_time: 0.0265 memory: 11089 grad_norm: 4.1251 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8263 loss: 1.8263 2022/08/02 21:38:57 - mmengine - INFO - Epoch(train) [67][900/1879] lr: 2.0000e-02 eta: 1 day, 15:48:32 time: 0.9200 data_time: 0.0288 memory: 11089 grad_norm: 4.2145 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8352 loss: 1.8352 2022/08/02 21:39:15 - mmengine - INFO - Epoch(train) [67][920/1879] lr: 2.0000e-02 eta: 1 day, 15:48:13 time: 0.9086 data_time: 0.0261 memory: 11089 grad_norm: 4.1514 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9544 loss: 1.9544 2022/08/02 21:39:34 - mmengine - INFO - Epoch(train) [67][940/1879] lr: 2.0000e-02 eta: 1 day, 15:47:57 time: 0.9797 data_time: 0.0329 memory: 11089 grad_norm: 4.1022 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0701 loss: 2.0701 2022/08/02 21:39:53 - mmengine - INFO - Epoch(train) [67][960/1879] lr: 2.0000e-02 eta: 1 day, 15:47:39 time: 0.9322 data_time: 0.0315 memory: 11089 grad_norm: 4.0648 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8320 loss: 1.8320 2022/08/02 21:40:11 - mmengine - INFO - Epoch(train) [67][980/1879] lr: 2.0000e-02 eta: 1 day, 15:47:20 time: 0.9076 data_time: 0.0298 memory: 11089 grad_norm: 4.1694 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9758 loss: 1.9758 2022/08/02 21:40:17 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 21:40:30 - mmengine - INFO - Epoch(train) [67][1000/1879] lr: 2.0000e-02 eta: 1 day, 15:47:02 time: 0.9255 data_time: 0.0261 memory: 11089 grad_norm: 4.1967 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8864 loss: 1.8864 2022/08/02 21:40:48 - mmengine - INFO - Epoch(train) [67][1020/1879] lr: 2.0000e-02 eta: 1 day, 15:46:44 time: 0.9011 data_time: 0.0251 memory: 11089 grad_norm: 4.0665 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9862 loss: 1.9862 2022/08/02 21:41:06 - mmengine - INFO - Epoch(train) [67][1040/1879] lr: 2.0000e-02 eta: 1 day, 15:46:25 time: 0.9072 data_time: 0.0248 memory: 11089 grad_norm: 4.0110 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8927 loss: 1.8927 2022/08/02 21:41:24 - mmengine - INFO - Epoch(train) [67][1060/1879] lr: 2.0000e-02 eta: 1 day, 15:46:07 time: 0.9032 data_time: 0.0206 memory: 11089 grad_norm: 4.1853 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9565 loss: 1.9565 2022/08/02 21:41:42 - mmengine - INFO - Epoch(train) [67][1080/1879] lr: 2.0000e-02 eta: 1 day, 15:45:48 time: 0.9050 data_time: 0.0262 memory: 11089 grad_norm: 4.2060 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1191 loss: 2.1191 2022/08/02 21:42:01 - mmengine - INFO - Epoch(train) [67][1100/1879] lr: 2.0000e-02 eta: 1 day, 15:45:30 time: 0.9193 data_time: 0.0243 memory: 11089 grad_norm: 4.1083 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9641 loss: 1.9641 2022/08/02 21:42:19 - mmengine - INFO - Epoch(train) [67][1120/1879] lr: 2.0000e-02 eta: 1 day, 15:45:12 time: 0.9093 data_time: 0.0310 memory: 11089 grad_norm: 4.1693 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7581 loss: 1.7581 2022/08/02 21:42:37 - mmengine - INFO - Epoch(train) [67][1140/1879] lr: 2.0000e-02 eta: 1 day, 15:44:54 time: 0.9370 data_time: 0.0315 memory: 11089 grad_norm: 4.1580 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8181 loss: 1.8181 2022/08/02 21:42:56 - mmengine - INFO - Epoch(train) [67][1160/1879] lr: 2.0000e-02 eta: 1 day, 15:44:36 time: 0.9289 data_time: 0.0284 memory: 11089 grad_norm: 4.1675 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 1.9472 loss: 1.9472 2022/08/02 21:43:15 - mmengine - INFO - Epoch(train) [67][1180/1879] lr: 2.0000e-02 eta: 1 day, 15:44:18 time: 0.9233 data_time: 0.0334 memory: 11089 grad_norm: 4.1751 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8154 loss: 1.8154 2022/08/02 21:43:33 - mmengine - INFO - Epoch(train) [67][1200/1879] lr: 2.0000e-02 eta: 1 day, 15:44:00 time: 0.9235 data_time: 0.0271 memory: 11089 grad_norm: 4.1485 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8350 loss: 1.8350 2022/08/02 21:43:51 - mmengine - INFO - Epoch(train) [67][1220/1879] lr: 2.0000e-02 eta: 1 day, 15:43:42 time: 0.9209 data_time: 0.0266 memory: 11089 grad_norm: 4.0353 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7573 loss: 1.7573 2022/08/02 21:44:09 - mmengine - INFO - Epoch(train) [67][1240/1879] lr: 2.0000e-02 eta: 1 day, 15:43:24 time: 0.9021 data_time: 0.0278 memory: 11089 grad_norm: 4.1012 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9653 loss: 1.9653 2022/08/02 21:44:28 - mmengine - INFO - Epoch(train) [67][1260/1879] lr: 2.0000e-02 eta: 1 day, 15:43:06 time: 0.9210 data_time: 0.0229 memory: 11089 grad_norm: 4.2120 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9006 loss: 1.9006 2022/08/02 21:44:47 - mmengine - INFO - Epoch(train) [67][1280/1879] lr: 2.0000e-02 eta: 1 day, 15:42:48 time: 0.9459 data_time: 0.0319 memory: 11089 grad_norm: 4.1624 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9742 loss: 1.9742 2022/08/02 21:45:05 - mmengine - INFO - Epoch(train) [67][1300/1879] lr: 2.0000e-02 eta: 1 day, 15:42:30 time: 0.9244 data_time: 0.0314 memory: 11089 grad_norm: 4.2125 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0217 loss: 2.0217 2022/08/02 21:45:24 - mmengine - INFO - Epoch(train) [67][1320/1879] lr: 2.0000e-02 eta: 1 day, 15:42:12 time: 0.9269 data_time: 0.0226 memory: 11089 grad_norm: 4.1115 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0622 loss: 2.0622 2022/08/02 21:45:42 - mmengine - INFO - Epoch(train) [67][1340/1879] lr: 2.0000e-02 eta: 1 day, 15:41:55 time: 0.9303 data_time: 0.0333 memory: 11089 grad_norm: 4.0055 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7812 loss: 1.7812 2022/08/02 21:46:01 - mmengine - INFO - Epoch(train) [67][1360/1879] lr: 2.0000e-02 eta: 1 day, 15:41:36 time: 0.9085 data_time: 0.0246 memory: 11089 grad_norm: 4.1012 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8873 loss: 1.8873 2022/08/02 21:46:19 - mmengine - INFO - Epoch(train) [67][1380/1879] lr: 2.0000e-02 eta: 1 day, 15:41:18 time: 0.9082 data_time: 0.0257 memory: 11089 grad_norm: 4.2461 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9292 loss: 1.9292 2022/08/02 21:46:37 - mmengine - INFO - Epoch(train) [67][1400/1879] lr: 2.0000e-02 eta: 1 day, 15:40:59 time: 0.9133 data_time: 0.0304 memory: 11089 grad_norm: 4.2454 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9764 loss: 1.9764 2022/08/02 21:46:55 - mmengine - INFO - Epoch(train) [67][1420/1879] lr: 2.0000e-02 eta: 1 day, 15:40:41 time: 0.9133 data_time: 0.0254 memory: 11089 grad_norm: 4.1137 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9533 loss: 1.9533 2022/08/02 21:47:13 - mmengine - INFO - Epoch(train) [67][1440/1879] lr: 2.0000e-02 eta: 1 day, 15:40:23 time: 0.9081 data_time: 0.0247 memory: 11089 grad_norm: 4.1810 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9472 loss: 1.9472 2022/08/02 21:47:32 - mmengine - INFO - Epoch(train) [67][1460/1879] lr: 2.0000e-02 eta: 1 day, 15:40:05 time: 0.9136 data_time: 0.0247 memory: 11089 grad_norm: 4.2182 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0882 loss: 2.0882 2022/08/02 21:47:50 - mmengine - INFO - Epoch(train) [67][1480/1879] lr: 2.0000e-02 eta: 1 day, 15:39:46 time: 0.9106 data_time: 0.0284 memory: 11089 grad_norm: 4.2421 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7747 loss: 1.7747 2022/08/02 21:48:09 - mmengine - INFO - Epoch(train) [67][1500/1879] lr: 2.0000e-02 eta: 1 day, 15:39:28 time: 0.9298 data_time: 0.0295 memory: 11089 grad_norm: 4.2404 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9179 loss: 1.9179 2022/08/02 21:48:27 - mmengine - INFO - Epoch(train) [67][1520/1879] lr: 2.0000e-02 eta: 1 day, 15:39:10 time: 0.9235 data_time: 0.0279 memory: 11089 grad_norm: 4.2961 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7240 loss: 1.7240 2022/08/02 21:48:45 - mmengine - INFO - Epoch(train) [67][1540/1879] lr: 2.0000e-02 eta: 1 day, 15:38:52 time: 0.9121 data_time: 0.0266 memory: 11089 grad_norm: 4.2252 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9391 loss: 1.9391 2022/08/02 21:49:06 - mmengine - INFO - Epoch(train) [67][1560/1879] lr: 2.0000e-02 eta: 1 day, 15:38:37 time: 1.0237 data_time: 0.0286 memory: 11089 grad_norm: 4.0967 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0398 loss: 2.0398 2022/08/02 21:49:24 - mmengine - INFO - Epoch(train) [67][1580/1879] lr: 2.0000e-02 eta: 1 day, 15:38:18 time: 0.9145 data_time: 0.0252 memory: 11089 grad_norm: 4.1354 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9409 loss: 1.9409 2022/08/02 21:49:42 - mmengine - INFO - Epoch(train) [67][1600/1879] lr: 2.0000e-02 eta: 1 day, 15:38:00 time: 0.9216 data_time: 0.0249 memory: 11089 grad_norm: 4.1838 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8808 loss: 1.8808 2022/08/02 21:50:01 - mmengine - INFO - Epoch(train) [67][1620/1879] lr: 2.0000e-02 eta: 1 day, 15:37:42 time: 0.9021 data_time: 0.0223 memory: 11089 grad_norm: 4.1828 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8373 loss: 1.8373 2022/08/02 21:50:18 - mmengine - INFO - Epoch(train) [67][1640/1879] lr: 2.0000e-02 eta: 1 day, 15:37:23 time: 0.8944 data_time: 0.0245 memory: 11089 grad_norm: 4.3064 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9373 loss: 1.9373 2022/08/02 21:50:37 - mmengine - INFO - Epoch(train) [67][1660/1879] lr: 2.0000e-02 eta: 1 day, 15:37:05 time: 0.9225 data_time: 0.0266 memory: 11089 grad_norm: 4.1218 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0751 loss: 2.0751 2022/08/02 21:50:55 - mmengine - INFO - Epoch(train) [67][1680/1879] lr: 2.0000e-02 eta: 1 day, 15:36:47 time: 0.9206 data_time: 0.0304 memory: 11089 grad_norm: 4.0586 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2190 loss: 2.2190 2022/08/02 21:51:14 - mmengine - INFO - Epoch(train) [67][1700/1879] lr: 2.0000e-02 eta: 1 day, 15:36:29 time: 0.9199 data_time: 0.0239 memory: 11089 grad_norm: 4.1131 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9930 loss: 1.9930 2022/08/02 21:51:32 - mmengine - INFO - Epoch(train) [67][1720/1879] lr: 2.0000e-02 eta: 1 day, 15:36:11 time: 0.9136 data_time: 0.0275 memory: 11089 grad_norm: 4.0937 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8814 loss: 1.8814 2022/08/02 21:51:50 - mmengine - INFO - Epoch(train) [67][1740/1879] lr: 2.0000e-02 eta: 1 day, 15:35:52 time: 0.9182 data_time: 0.0361 memory: 11089 grad_norm: 4.0469 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9478 loss: 1.9478 2022/08/02 21:52:08 - mmengine - INFO - Epoch(train) [67][1760/1879] lr: 2.0000e-02 eta: 1 day, 15:35:34 time: 0.9076 data_time: 0.0343 memory: 11089 grad_norm: 4.1072 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.0014 loss: 2.0014 2022/08/02 21:52:27 - mmengine - INFO - Epoch(train) [67][1780/1879] lr: 2.0000e-02 eta: 1 day, 15:35:15 time: 0.9007 data_time: 0.0237 memory: 11089 grad_norm: 4.2806 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0517 loss: 2.0517 2022/08/02 21:52:45 - mmengine - INFO - Epoch(train) [67][1800/1879] lr: 2.0000e-02 eta: 1 day, 15:34:57 time: 0.9194 data_time: 0.0345 memory: 11089 grad_norm: 4.1450 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9452 loss: 1.9452 2022/08/02 21:53:03 - mmengine - INFO - Epoch(train) [67][1820/1879] lr: 2.0000e-02 eta: 1 day, 15:34:39 time: 0.9268 data_time: 0.0307 memory: 11089 grad_norm: 4.0573 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9896 loss: 1.9896 2022/08/02 21:53:22 - mmengine - INFO - Epoch(train) [67][1840/1879] lr: 2.0000e-02 eta: 1 day, 15:34:21 time: 0.9194 data_time: 0.0275 memory: 11089 grad_norm: 4.0523 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0644 loss: 2.0644 2022/08/02 21:53:40 - mmengine - INFO - Epoch(train) [67][1860/1879] lr: 2.0000e-02 eta: 1 day, 15:34:03 time: 0.9087 data_time: 0.0261 memory: 11089 grad_norm: 3.9941 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8523 loss: 1.8523 2022/08/02 21:53:57 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 21:53:57 - mmengine - INFO - Epoch(train) [67][1879/1879] lr: 2.0000e-02 eta: 1 day, 15:34:03 time: 0.9036 data_time: 0.0271 memory: 11089 grad_norm: 4.3740 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.1517 loss: 2.1517 2022/08/02 21:54:17 - mmengine - INFO - Epoch(train) [68][20/1879] lr: 2.0000e-02 eta: 1 day, 15:33:08 time: 0.9886 data_time: 0.1309 memory: 11089 grad_norm: 4.1284 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7688 loss: 1.7688 2022/08/02 21:54:36 - mmengine - INFO - Epoch(train) [68][40/1879] lr: 2.0000e-02 eta: 1 day, 15:32:50 time: 0.9363 data_time: 0.0282 memory: 11089 grad_norm: 4.1936 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1062 loss: 2.1062 2022/08/02 21:54:54 - mmengine - INFO - Epoch(train) [68][60/1879] lr: 2.0000e-02 eta: 1 day, 15:32:32 time: 0.9196 data_time: 0.0235 memory: 11089 grad_norm: 3.9897 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7952 loss: 1.7952 2022/08/02 21:55:13 - mmengine - INFO - Epoch(train) [68][80/1879] lr: 2.0000e-02 eta: 1 day, 15:32:14 time: 0.9205 data_time: 0.0318 memory: 11089 grad_norm: 4.0814 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0260 loss: 2.0260 2022/08/02 21:55:30 - mmengine - INFO - Epoch(train) [68][100/1879] lr: 2.0000e-02 eta: 1 day, 15:31:55 time: 0.8940 data_time: 0.0213 memory: 11089 grad_norm: 4.1618 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7536 loss: 1.7536 2022/08/02 21:55:37 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 21:55:49 - mmengine - INFO - Epoch(train) [68][120/1879] lr: 2.0000e-02 eta: 1 day, 15:31:37 time: 0.9085 data_time: 0.0219 memory: 11089 grad_norm: 4.2882 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9582 loss: 1.9582 2022/08/02 21:56:07 - mmengine - INFO - Epoch(train) [68][140/1879] lr: 2.0000e-02 eta: 1 day, 15:31:18 time: 0.9162 data_time: 0.0267 memory: 11089 grad_norm: 4.1685 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8035 loss: 1.8035 2022/08/02 21:56:26 - mmengine - INFO - Epoch(train) [68][160/1879] lr: 2.0000e-02 eta: 1 day, 15:31:01 time: 0.9258 data_time: 0.0259 memory: 11089 grad_norm: 4.1036 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9761 loss: 1.9761 2022/08/02 21:56:44 - mmengine - INFO - Epoch(train) [68][180/1879] lr: 2.0000e-02 eta: 1 day, 15:30:42 time: 0.9224 data_time: 0.0273 memory: 11089 grad_norm: 4.2198 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8443 loss: 1.8443 2022/08/02 21:57:02 - mmengine - INFO - Epoch(train) [68][200/1879] lr: 2.0000e-02 eta: 1 day, 15:30:24 time: 0.9074 data_time: 0.0278 memory: 11089 grad_norm: 4.1706 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9411 loss: 1.9411 2022/08/02 21:57:20 - mmengine - INFO - Epoch(train) [68][220/1879] lr: 2.0000e-02 eta: 1 day, 15:30:06 time: 0.9105 data_time: 0.0259 memory: 11089 grad_norm: 4.0960 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6357 loss: 1.6357 2022/08/02 21:57:38 - mmengine - INFO - Epoch(train) [68][240/1879] lr: 2.0000e-02 eta: 1 day, 15:29:47 time: 0.8972 data_time: 0.0253 memory: 11089 grad_norm: 4.1592 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9138 loss: 1.9138 2022/08/02 21:57:57 - mmengine - INFO - Epoch(train) [68][260/1879] lr: 2.0000e-02 eta: 1 day, 15:29:29 time: 0.9097 data_time: 0.0225 memory: 11089 grad_norm: 4.0954 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7794 loss: 1.7794 2022/08/02 21:58:15 - mmengine - INFO - Epoch(train) [68][280/1879] lr: 2.0000e-02 eta: 1 day, 15:29:11 time: 0.9215 data_time: 0.0289 memory: 11089 grad_norm: 4.1938 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8569 loss: 1.8569 2022/08/02 21:58:33 - mmengine - INFO - Epoch(train) [68][300/1879] lr: 2.0000e-02 eta: 1 day, 15:28:52 time: 0.9030 data_time: 0.0261 memory: 11089 grad_norm: 4.0823 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8388 loss: 1.8388 2022/08/02 21:58:51 - mmengine - INFO - Epoch(train) [68][320/1879] lr: 2.0000e-02 eta: 1 day, 15:28:34 time: 0.9198 data_time: 0.0294 memory: 11089 grad_norm: 4.4267 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9386 loss: 1.9386 2022/08/02 21:59:10 - mmengine - INFO - Epoch(train) [68][340/1879] lr: 2.0000e-02 eta: 1 day, 15:28:16 time: 0.9127 data_time: 0.0218 memory: 11089 grad_norm: 4.2040 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9615 loss: 1.9615 2022/08/02 21:59:28 - mmengine - INFO - Epoch(train) [68][360/1879] lr: 2.0000e-02 eta: 1 day, 15:27:57 time: 0.9043 data_time: 0.0230 memory: 11089 grad_norm: 4.1201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9631 loss: 1.9631 2022/08/02 21:59:46 - mmengine - INFO - Epoch(train) [68][380/1879] lr: 2.0000e-02 eta: 1 day, 15:27:39 time: 0.9208 data_time: 0.0252 memory: 11089 grad_norm: 4.1987 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9118 loss: 1.9118 2022/08/02 22:00:05 - mmengine - INFO - Epoch(train) [68][400/1879] lr: 2.0000e-02 eta: 1 day, 15:27:21 time: 0.9226 data_time: 0.0273 memory: 11089 grad_norm: 4.2147 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9401 loss: 1.9401 2022/08/02 22:00:23 - mmengine - INFO - Epoch(train) [68][420/1879] lr: 2.0000e-02 eta: 1 day, 15:27:03 time: 0.9212 data_time: 0.0255 memory: 11089 grad_norm: 4.1609 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8183 loss: 1.8183 2022/08/02 22:00:41 - mmengine - INFO - Epoch(train) [68][440/1879] lr: 2.0000e-02 eta: 1 day, 15:26:45 time: 0.9073 data_time: 0.0284 memory: 11089 grad_norm: 4.2206 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1675 loss: 2.1675 2022/08/02 22:00:59 - mmengine - INFO - Epoch(train) [68][460/1879] lr: 2.0000e-02 eta: 1 day, 15:26:26 time: 0.8977 data_time: 0.0231 memory: 11089 grad_norm: 4.1258 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9523 loss: 1.9523 2022/08/02 22:01:18 - mmengine - INFO - Epoch(train) [68][480/1879] lr: 2.0000e-02 eta: 1 day, 15:26:09 time: 0.9484 data_time: 0.0259 memory: 11089 grad_norm: 3.9979 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8197 loss: 1.8197 2022/08/02 22:01:36 - mmengine - INFO - Epoch(train) [68][500/1879] lr: 2.0000e-02 eta: 1 day, 15:25:50 time: 0.9057 data_time: 0.0254 memory: 11089 grad_norm: 4.0669 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1654 loss: 2.1654 2022/08/02 22:01:54 - mmengine - INFO - Epoch(train) [68][520/1879] lr: 2.0000e-02 eta: 1 day, 15:25:32 time: 0.9119 data_time: 0.0244 memory: 11089 grad_norm: 4.1161 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9477 loss: 1.9477 2022/08/02 22:02:12 - mmengine - INFO - Epoch(train) [68][540/1879] lr: 2.0000e-02 eta: 1 day, 15:25:13 time: 0.8903 data_time: 0.0265 memory: 11089 grad_norm: 4.2043 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7821 loss: 1.7821 2022/08/02 22:02:30 - mmengine - INFO - Epoch(train) [68][560/1879] lr: 2.0000e-02 eta: 1 day, 15:24:54 time: 0.8916 data_time: 0.0199 memory: 11089 grad_norm: 4.2957 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0891 loss: 2.0891 2022/08/02 22:02:49 - mmengine - INFO - Epoch(train) [68][580/1879] lr: 2.0000e-02 eta: 1 day, 15:24:36 time: 0.9163 data_time: 0.0235 memory: 11089 grad_norm: 4.0966 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8885 loss: 1.8885 2022/08/02 22:03:07 - mmengine - INFO - Epoch(train) [68][600/1879] lr: 2.0000e-02 eta: 1 day, 15:24:18 time: 0.9232 data_time: 0.0325 memory: 11089 grad_norm: 4.0986 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8250 loss: 1.8250 2022/08/02 22:03:26 - mmengine - INFO - Epoch(train) [68][620/1879] lr: 2.0000e-02 eta: 1 day, 15:24:00 time: 0.9359 data_time: 0.0302 memory: 11089 grad_norm: 4.0988 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9251 loss: 1.9251 2022/08/02 22:03:43 - mmengine - INFO - Epoch(train) [68][640/1879] lr: 2.0000e-02 eta: 1 day, 15:23:42 time: 0.8918 data_time: 0.0224 memory: 11089 grad_norm: 4.1581 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9481 loss: 1.9481 2022/08/02 22:04:01 - mmengine - INFO - Epoch(train) [68][660/1879] lr: 2.0000e-02 eta: 1 day, 15:23:23 time: 0.8971 data_time: 0.0215 memory: 11089 grad_norm: 4.2558 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0170 loss: 2.0170 2022/08/02 22:04:20 - mmengine - INFO - Epoch(train) [68][680/1879] lr: 2.0000e-02 eta: 1 day, 15:23:05 time: 0.9255 data_time: 0.0319 memory: 11089 grad_norm: 4.2139 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8174 loss: 1.8174 2022/08/02 22:04:38 - mmengine - INFO - Epoch(train) [68][700/1879] lr: 2.0000e-02 eta: 1 day, 15:22:47 time: 0.9134 data_time: 0.0250 memory: 11089 grad_norm: 4.2133 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9191 loss: 1.9191 2022/08/02 22:04:57 - mmengine - INFO - Epoch(train) [68][720/1879] lr: 2.0000e-02 eta: 1 day, 15:22:29 time: 0.9186 data_time: 0.0256 memory: 11089 grad_norm: 4.0997 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9429 loss: 1.9429 2022/08/02 22:05:15 - mmengine - INFO - Epoch(train) [68][740/1879] lr: 2.0000e-02 eta: 1 day, 15:22:11 time: 0.9385 data_time: 0.0328 memory: 11089 grad_norm: 4.0869 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0764 loss: 2.0764 2022/08/02 22:05:34 - mmengine - INFO - Epoch(train) [68][760/1879] lr: 2.0000e-02 eta: 1 day, 15:21:53 time: 0.9358 data_time: 0.0288 memory: 11089 grad_norm: 4.1752 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8999 loss: 1.8999 2022/08/02 22:05:52 - mmengine - INFO - Epoch(train) [68][780/1879] lr: 2.0000e-02 eta: 1 day, 15:21:35 time: 0.9182 data_time: 0.0322 memory: 11089 grad_norm: 4.1518 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0817 loss: 2.0817 2022/08/02 22:06:10 - mmengine - INFO - Epoch(train) [68][800/1879] lr: 2.0000e-02 eta: 1 day, 15:21:17 time: 0.9032 data_time: 0.0210 memory: 11089 grad_norm: 4.2084 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0578 loss: 2.0578 2022/08/02 22:06:29 - mmengine - INFO - Epoch(train) [68][820/1879] lr: 2.0000e-02 eta: 1 day, 15:20:59 time: 0.9271 data_time: 0.0289 memory: 11089 grad_norm: 4.1867 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9231 loss: 1.9231 2022/08/02 22:06:47 - mmengine - INFO - Epoch(train) [68][840/1879] lr: 2.0000e-02 eta: 1 day, 15:20:40 time: 0.9114 data_time: 0.0239 memory: 11089 grad_norm: 4.2612 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9984 loss: 1.9984 2022/08/02 22:07:06 - mmengine - INFO - Epoch(train) [68][860/1879] lr: 2.0000e-02 eta: 1 day, 15:20:22 time: 0.9178 data_time: 0.0256 memory: 11089 grad_norm: 4.1541 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1075 loss: 2.1075 2022/08/02 22:07:24 - mmengine - INFO - Epoch(train) [68][880/1879] lr: 2.0000e-02 eta: 1 day, 15:20:04 time: 0.9114 data_time: 0.0242 memory: 11089 grad_norm: 4.0527 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8648 loss: 1.8648 2022/08/02 22:07:42 - mmengine - INFO - Epoch(train) [68][900/1879] lr: 2.0000e-02 eta: 1 day, 15:19:46 time: 0.9134 data_time: 0.0231 memory: 11089 grad_norm: 4.1800 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7650 loss: 1.7650 2022/08/02 22:08:01 - mmengine - INFO - Epoch(train) [68][920/1879] lr: 2.0000e-02 eta: 1 day, 15:19:28 time: 0.9183 data_time: 0.0191 memory: 11089 grad_norm: 4.1087 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7773 loss: 1.7773 2022/08/02 22:08:19 - mmengine - INFO - Epoch(train) [68][940/1879] lr: 2.0000e-02 eta: 1 day, 15:19:09 time: 0.9055 data_time: 0.0220 memory: 11089 grad_norm: 4.2628 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.8620 loss: 1.8620 2022/08/02 22:08:37 - mmengine - INFO - Epoch(train) [68][960/1879] lr: 2.0000e-02 eta: 1 day, 15:18:51 time: 0.8953 data_time: 0.0168 memory: 11089 grad_norm: 4.2031 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9233 loss: 1.9233 2022/08/02 22:08:55 - mmengine - INFO - Epoch(train) [68][980/1879] lr: 2.0000e-02 eta: 1 day, 15:18:32 time: 0.9084 data_time: 0.0293 memory: 11089 grad_norm: 4.1917 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9976 loss: 1.9976 2022/08/02 22:09:13 - mmengine - INFO - Epoch(train) [68][1000/1879] lr: 2.0000e-02 eta: 1 day, 15:18:14 time: 0.9218 data_time: 0.0292 memory: 11089 grad_norm: 4.2345 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0739 loss: 2.0739 2022/08/02 22:09:31 - mmengine - INFO - Epoch(train) [68][1020/1879] lr: 2.0000e-02 eta: 1 day, 15:17:56 time: 0.9110 data_time: 0.0279 memory: 11089 grad_norm: 4.0707 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8628 loss: 1.8628 2022/08/02 22:09:50 - mmengine - INFO - Epoch(train) [68][1040/1879] lr: 2.0000e-02 eta: 1 day, 15:17:38 time: 0.9344 data_time: 0.0288 memory: 11089 grad_norm: 4.1664 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 2.0137 loss: 2.0137 2022/08/02 22:10:09 - mmengine - INFO - Epoch(train) [68][1060/1879] lr: 2.0000e-02 eta: 1 day, 15:17:20 time: 0.9279 data_time: 0.0348 memory: 11089 grad_norm: 4.2232 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8708 loss: 1.8708 2022/08/02 22:10:27 - mmengine - INFO - Epoch(train) [68][1080/1879] lr: 2.0000e-02 eta: 1 day, 15:17:02 time: 0.9191 data_time: 0.0258 memory: 11089 grad_norm: 4.2086 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0596 loss: 2.0596 2022/08/02 22:10:45 - mmengine - INFO - Epoch(train) [68][1100/1879] lr: 2.0000e-02 eta: 1 day, 15:16:43 time: 0.8912 data_time: 0.0245 memory: 11089 grad_norm: 4.2068 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.9324 loss: 1.9324 2022/08/02 22:10:51 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 22:11:03 - mmengine - INFO - Epoch(train) [68][1120/1879] lr: 2.0000e-02 eta: 1 day, 15:16:25 time: 0.9142 data_time: 0.0213 memory: 11089 grad_norm: 4.1647 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7499 loss: 1.7499 2022/08/02 22:11:21 - mmengine - INFO - Epoch(train) [68][1140/1879] lr: 2.0000e-02 eta: 1 day, 15:16:06 time: 0.9045 data_time: 0.0253 memory: 11089 grad_norm: 4.0450 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9634 loss: 1.9634 2022/08/02 22:11:40 - mmengine - INFO - Epoch(train) [68][1160/1879] lr: 2.0000e-02 eta: 1 day, 15:15:48 time: 0.9147 data_time: 0.0259 memory: 11089 grad_norm: 4.0919 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2414 loss: 2.2414 2022/08/02 22:11:59 - mmengine - INFO - Epoch(train) [68][1180/1879] lr: 2.0000e-02 eta: 1 day, 15:15:31 time: 0.9520 data_time: 0.0387 memory: 11089 grad_norm: 4.1223 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9097 loss: 1.9097 2022/08/02 22:12:17 - mmengine - INFO - Epoch(train) [68][1200/1879] lr: 2.0000e-02 eta: 1 day, 15:15:13 time: 0.9225 data_time: 0.0298 memory: 11089 grad_norm: 4.0575 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9890 loss: 1.9890 2022/08/02 22:12:35 - mmengine - INFO - Epoch(train) [68][1220/1879] lr: 2.0000e-02 eta: 1 day, 15:14:55 time: 0.9141 data_time: 0.0253 memory: 11089 grad_norm: 4.1312 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8046 loss: 1.8046 2022/08/02 22:12:54 - mmengine - INFO - Epoch(train) [68][1240/1879] lr: 2.0000e-02 eta: 1 day, 15:14:37 time: 0.9264 data_time: 0.0303 memory: 11089 grad_norm: 4.2366 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8223 loss: 1.8223 2022/08/02 22:13:12 - mmengine - INFO - Epoch(train) [68][1260/1879] lr: 2.0000e-02 eta: 1 day, 15:14:18 time: 0.9129 data_time: 0.0241 memory: 11089 grad_norm: 4.1019 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8676 loss: 1.8676 2022/08/02 22:13:30 - mmengine - INFO - Epoch(train) [68][1280/1879] lr: 2.0000e-02 eta: 1 day, 15:14:00 time: 0.9076 data_time: 0.0264 memory: 11089 grad_norm: 4.0867 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9796 loss: 1.9796 2022/08/02 22:13:49 - mmengine - INFO - Epoch(train) [68][1300/1879] lr: 2.0000e-02 eta: 1 day, 15:13:42 time: 0.9132 data_time: 0.0266 memory: 11089 grad_norm: 4.1998 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9762 loss: 1.9762 2022/08/02 22:14:07 - mmengine - INFO - Epoch(train) [68][1320/1879] lr: 2.0000e-02 eta: 1 day, 15:13:24 time: 0.9332 data_time: 0.0378 memory: 11089 grad_norm: 4.1729 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7275 loss: 1.7275 2022/08/02 22:14:25 - mmengine - INFO - Epoch(train) [68][1340/1879] lr: 2.0000e-02 eta: 1 day, 15:13:06 time: 0.9019 data_time: 0.0278 memory: 11089 grad_norm: 4.1589 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0637 loss: 2.0637 2022/08/02 22:14:44 - mmengine - INFO - Epoch(train) [68][1360/1879] lr: 2.0000e-02 eta: 1 day, 15:12:47 time: 0.9187 data_time: 0.0279 memory: 11089 grad_norm: 4.2651 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7049 loss: 1.7049 2022/08/02 22:15:02 - mmengine - INFO - Epoch(train) [68][1380/1879] lr: 2.0000e-02 eta: 1 day, 15:12:29 time: 0.9153 data_time: 0.0322 memory: 11089 grad_norm: 4.1867 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0558 loss: 2.0558 2022/08/02 22:15:20 - mmengine - INFO - Epoch(train) [68][1400/1879] lr: 2.0000e-02 eta: 1 day, 15:12:11 time: 0.9240 data_time: 0.0255 memory: 11089 grad_norm: 4.1726 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.1539 loss: 2.1539 2022/08/02 22:15:39 - mmengine - INFO - Epoch(train) [68][1420/1879] lr: 2.0000e-02 eta: 1 day, 15:11:53 time: 0.9014 data_time: 0.0328 memory: 11089 grad_norm: 4.1815 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8663 loss: 1.8663 2022/08/02 22:15:57 - mmengine - INFO - Epoch(train) [68][1440/1879] lr: 2.0000e-02 eta: 1 day, 15:11:35 time: 0.9318 data_time: 0.0345 memory: 11089 grad_norm: 4.1641 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7850 loss: 1.7850 2022/08/02 22:16:15 - mmengine - INFO - Epoch(train) [68][1460/1879] lr: 2.0000e-02 eta: 1 day, 15:11:17 time: 0.9212 data_time: 0.0317 memory: 11089 grad_norm: 4.3169 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9754 loss: 1.9754 2022/08/02 22:16:34 - mmengine - INFO - Epoch(train) [68][1480/1879] lr: 2.0000e-02 eta: 1 day, 15:10:59 time: 0.9465 data_time: 0.0323 memory: 11089 grad_norm: 4.1514 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0651 loss: 2.0651 2022/08/02 22:16:53 - mmengine - INFO - Epoch(train) [68][1500/1879] lr: 2.0000e-02 eta: 1 day, 15:10:41 time: 0.9222 data_time: 0.0265 memory: 11089 grad_norm: 4.1900 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9329 loss: 1.9329 2022/08/02 22:17:11 - mmengine - INFO - Epoch(train) [68][1520/1879] lr: 2.0000e-02 eta: 1 day, 15:10:23 time: 0.9303 data_time: 0.0284 memory: 11089 grad_norm: 4.0735 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9709 loss: 1.9709 2022/08/02 22:17:30 - mmengine - INFO - Epoch(train) [68][1540/1879] lr: 2.0000e-02 eta: 1 day, 15:10:06 time: 0.9292 data_time: 0.0312 memory: 11089 grad_norm: 4.0636 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0678 loss: 2.0678 2022/08/02 22:17:49 - mmengine - INFO - Epoch(train) [68][1560/1879] lr: 2.0000e-02 eta: 1 day, 15:09:48 time: 0.9234 data_time: 0.0304 memory: 11089 grad_norm: 4.1638 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8063 loss: 1.8063 2022/08/02 22:18:07 - mmengine - INFO - Epoch(train) [68][1580/1879] lr: 2.0000e-02 eta: 1 day, 15:09:29 time: 0.9099 data_time: 0.0254 memory: 11089 grad_norm: 4.1459 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7910 loss: 1.7910 2022/08/02 22:18:25 - mmengine - INFO - Epoch(train) [68][1600/1879] lr: 2.0000e-02 eta: 1 day, 15:09:10 time: 0.8952 data_time: 0.0232 memory: 11089 grad_norm: 4.0381 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0123 loss: 2.0123 2022/08/02 22:18:43 - mmengine - INFO - Epoch(train) [68][1620/1879] lr: 2.0000e-02 eta: 1 day, 15:08:52 time: 0.9235 data_time: 0.0334 memory: 11089 grad_norm: 4.1218 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9681 loss: 1.9681 2022/08/02 22:19:01 - mmengine - INFO - Epoch(train) [68][1640/1879] lr: 2.0000e-02 eta: 1 day, 15:08:34 time: 0.9118 data_time: 0.0309 memory: 11089 grad_norm: 4.1201 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8019 loss: 1.8019 2022/08/02 22:19:20 - mmengine - INFO - Epoch(train) [68][1660/1879] lr: 2.0000e-02 eta: 1 day, 15:08:16 time: 0.9154 data_time: 0.0278 memory: 11089 grad_norm: 4.2421 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0860 loss: 2.0860 2022/08/02 22:19:38 - mmengine - INFO - Epoch(train) [68][1680/1879] lr: 2.0000e-02 eta: 1 day, 15:07:58 time: 0.9222 data_time: 0.0267 memory: 11089 grad_norm: 4.2054 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9502 loss: 1.9502 2022/08/02 22:19:57 - mmengine - INFO - Epoch(train) [68][1700/1879] lr: 2.0000e-02 eta: 1 day, 15:07:40 time: 0.9246 data_time: 0.0358 memory: 11089 grad_norm: 4.2486 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8819 loss: 1.8819 2022/08/02 22:20:14 - mmengine - INFO - Epoch(train) [68][1720/1879] lr: 2.0000e-02 eta: 1 day, 15:07:21 time: 0.8904 data_time: 0.0261 memory: 11089 grad_norm: 4.1396 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9391 loss: 1.9391 2022/08/02 22:20:32 - mmengine - INFO - Epoch(train) [68][1740/1879] lr: 2.0000e-02 eta: 1 day, 15:07:03 time: 0.9009 data_time: 0.0299 memory: 11089 grad_norm: 4.1720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8061 loss: 1.8061 2022/08/02 22:20:51 - mmengine - INFO - Epoch(train) [68][1760/1879] lr: 2.0000e-02 eta: 1 day, 15:06:44 time: 0.9172 data_time: 0.0328 memory: 11089 grad_norm: 4.1965 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1667 loss: 2.1667 2022/08/02 22:21:09 - mmengine - INFO - Epoch(train) [68][1780/1879] lr: 2.0000e-02 eta: 1 day, 15:06:26 time: 0.9114 data_time: 0.0267 memory: 11089 grad_norm: 4.1060 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8545 loss: 1.8545 2022/08/02 22:21:27 - mmengine - INFO - Epoch(train) [68][1800/1879] lr: 2.0000e-02 eta: 1 day, 15:06:08 time: 0.9076 data_time: 0.0245 memory: 11089 grad_norm: 4.1925 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8771 loss: 1.8771 2022/08/02 22:21:45 - mmengine - INFO - Epoch(train) [68][1820/1879] lr: 2.0000e-02 eta: 1 day, 15:05:49 time: 0.9075 data_time: 0.0248 memory: 11089 grad_norm: 4.0836 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2095 loss: 2.2095 2022/08/02 22:22:03 - mmengine - INFO - Epoch(train) [68][1840/1879] lr: 2.0000e-02 eta: 1 day, 15:05:31 time: 0.9051 data_time: 0.0265 memory: 11089 grad_norm: 4.0782 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9706 loss: 1.9706 2022/08/02 22:22:22 - mmengine - INFO - Epoch(train) [68][1860/1879] lr: 2.0000e-02 eta: 1 day, 15:05:13 time: 0.9426 data_time: 0.0278 memory: 11089 grad_norm: 4.1728 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7770 loss: 1.7770 2022/08/02 22:22:39 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 22:22:39 - mmengine - INFO - Epoch(train) [68][1879/1879] lr: 2.0000e-02 eta: 1 day, 15:05:13 time: 0.9038 data_time: 0.0255 memory: 11089 grad_norm: 4.2153 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.0355 loss: 2.0355 2022/08/02 22:22:40 - mmengine - INFO - Saving checkpoint at 68 epochs 2022/08/02 22:23:02 - mmengine - INFO - Epoch(train) [69][20/1879] lr: 2.0000e-02 eta: 1 day, 15:04:19 time: 1.0082 data_time: 0.1137 memory: 11089 grad_norm: 4.1441 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8807 loss: 1.8807 2022/08/02 22:23:20 - mmengine - INFO - Epoch(train) [69][40/1879] lr: 2.0000e-02 eta: 1 day, 15:04:01 time: 0.9160 data_time: 0.0232 memory: 11089 grad_norm: 4.1480 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7092 loss: 1.7092 2022/08/02 22:23:39 - mmengine - INFO - Epoch(train) [69][60/1879] lr: 2.0000e-02 eta: 1 day, 15:03:43 time: 0.9148 data_time: 0.0263 memory: 11089 grad_norm: 4.1508 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0307 loss: 2.0307 2022/08/02 22:23:57 - mmengine - INFO - Epoch(train) [69][80/1879] lr: 2.0000e-02 eta: 1 day, 15:03:25 time: 0.9378 data_time: 0.0302 memory: 11089 grad_norm: 4.2314 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9487 loss: 1.9487 2022/08/02 22:24:16 - mmengine - INFO - Epoch(train) [69][100/1879] lr: 2.0000e-02 eta: 1 day, 15:03:07 time: 0.9228 data_time: 0.0313 memory: 11089 grad_norm: 4.2022 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8994 loss: 1.8994 2022/08/02 22:24:34 - mmengine - INFO - Epoch(train) [69][120/1879] lr: 2.0000e-02 eta: 1 day, 15:02:49 time: 0.9111 data_time: 0.0197 memory: 11089 grad_norm: 4.1503 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9798 loss: 1.9798 2022/08/02 22:24:52 - mmengine - INFO - Epoch(train) [69][140/1879] lr: 2.0000e-02 eta: 1 day, 15:02:30 time: 0.8904 data_time: 0.0262 memory: 11089 grad_norm: 4.3082 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9042 loss: 1.9042 2022/08/02 22:25:10 - mmengine - INFO - Epoch(train) [69][160/1879] lr: 2.0000e-02 eta: 1 day, 15:02:12 time: 0.9223 data_time: 0.0270 memory: 11089 grad_norm: 4.0715 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5873 loss: 1.5873 2022/08/02 22:25:29 - mmengine - INFO - Epoch(train) [69][180/1879] lr: 2.0000e-02 eta: 1 day, 15:01:54 time: 0.9404 data_time: 0.0371 memory: 11089 grad_norm: 4.2049 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1828 loss: 2.1828 2022/08/02 22:25:48 - mmengine - INFO - Epoch(train) [69][200/1879] lr: 2.0000e-02 eta: 1 day, 15:01:36 time: 0.9310 data_time: 0.0271 memory: 11089 grad_norm: 4.1604 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9864 loss: 1.9864 2022/08/02 22:26:06 - mmengine - INFO - Epoch(train) [69][220/1879] lr: 2.0000e-02 eta: 1 day, 15:01:18 time: 0.9078 data_time: 0.0264 memory: 11089 grad_norm: 4.1622 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9020 loss: 1.9020 2022/08/02 22:26:13 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 22:26:24 - mmengine - INFO - Epoch(train) [69][240/1879] lr: 2.0000e-02 eta: 1 day, 15:01:00 time: 0.9157 data_time: 0.0273 memory: 11089 grad_norm: 4.2314 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8888 loss: 1.8888 2022/08/02 22:26:42 - mmengine - INFO - Epoch(train) [69][260/1879] lr: 2.0000e-02 eta: 1 day, 15:00:42 time: 0.9138 data_time: 0.0287 memory: 11089 grad_norm: 4.1302 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8912 loss: 1.8912 2022/08/02 22:27:01 - mmengine - INFO - Epoch(train) [69][280/1879] lr: 2.0000e-02 eta: 1 day, 15:00:23 time: 0.9114 data_time: 0.0211 memory: 11089 grad_norm: 4.0888 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9410 loss: 1.9410 2022/08/02 22:27:19 - mmengine - INFO - Epoch(train) [69][300/1879] lr: 2.0000e-02 eta: 1 day, 15:00:05 time: 0.9252 data_time: 0.0236 memory: 11089 grad_norm: 4.2125 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7819 loss: 1.7819 2022/08/02 22:27:38 - mmengine - INFO - Epoch(train) [69][320/1879] lr: 2.0000e-02 eta: 1 day, 14:59:47 time: 0.9213 data_time: 0.0353 memory: 11089 grad_norm: 4.1825 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 2.2497 loss: 2.2497 2022/08/02 22:27:56 - mmengine - INFO - Epoch(train) [69][340/1879] lr: 2.0000e-02 eta: 1 day, 14:59:29 time: 0.8985 data_time: 0.0224 memory: 11089 grad_norm: 4.2235 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9377 loss: 1.9377 2022/08/02 22:28:14 - mmengine - INFO - Epoch(train) [69][360/1879] lr: 2.0000e-02 eta: 1 day, 14:59:10 time: 0.8992 data_time: 0.0279 memory: 11089 grad_norm: 4.2944 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9454 loss: 1.9454 2022/08/02 22:28:32 - mmengine - INFO - Epoch(train) [69][380/1879] lr: 2.0000e-02 eta: 1 day, 14:58:52 time: 0.9156 data_time: 0.0266 memory: 11089 grad_norm: 4.2114 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9844 loss: 1.9844 2022/08/02 22:28:50 - mmengine - INFO - Epoch(train) [69][400/1879] lr: 2.0000e-02 eta: 1 day, 14:58:34 time: 0.9177 data_time: 0.0283 memory: 11089 grad_norm: 4.1099 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9380 loss: 1.9380 2022/08/02 22:29:08 - mmengine - INFO - Epoch(train) [69][420/1879] lr: 2.0000e-02 eta: 1 day, 14:58:15 time: 0.9100 data_time: 0.0286 memory: 11089 grad_norm: 4.1722 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9478 loss: 1.9478 2022/08/02 22:29:27 - mmengine - INFO - Epoch(train) [69][440/1879] lr: 2.0000e-02 eta: 1 day, 14:57:57 time: 0.9236 data_time: 0.0276 memory: 11089 grad_norm: 4.1184 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7211 loss: 1.7211 2022/08/02 22:29:45 - mmengine - INFO - Epoch(train) [69][460/1879] lr: 2.0000e-02 eta: 1 day, 14:57:39 time: 0.9127 data_time: 0.0262 memory: 11089 grad_norm: 4.2448 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9826 loss: 1.9826 2022/08/02 22:30:03 - mmengine - INFO - Epoch(train) [69][480/1879] lr: 2.0000e-02 eta: 1 day, 14:57:21 time: 0.9073 data_time: 0.0312 memory: 11089 grad_norm: 4.1686 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9530 loss: 1.9530 2022/08/02 22:30:22 - mmengine - INFO - Epoch(train) [69][500/1879] lr: 2.0000e-02 eta: 1 day, 14:57:02 time: 0.9135 data_time: 0.0276 memory: 11089 grad_norm: 4.1107 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8609 loss: 1.8609 2022/08/02 22:30:40 - mmengine - INFO - Epoch(train) [69][520/1879] lr: 2.0000e-02 eta: 1 day, 14:56:44 time: 0.9041 data_time: 0.0257 memory: 11089 grad_norm: 4.2455 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9519 loss: 1.9519 2022/08/02 22:30:58 - mmengine - INFO - Epoch(train) [69][540/1879] lr: 2.0000e-02 eta: 1 day, 14:56:25 time: 0.8933 data_time: 0.0195 memory: 11089 grad_norm: 4.1542 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9191 loss: 1.9191 2022/08/02 22:31:16 - mmengine - INFO - Epoch(train) [69][560/1879] lr: 2.0000e-02 eta: 1 day, 14:56:07 time: 0.9122 data_time: 0.0278 memory: 11089 grad_norm: 4.2392 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9048 loss: 1.9048 2022/08/02 22:31:34 - mmengine - INFO - Epoch(train) [69][580/1879] lr: 2.0000e-02 eta: 1 day, 14:55:49 time: 0.9278 data_time: 0.0321 memory: 11089 grad_norm: 4.1224 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7700 loss: 1.7700 2022/08/02 22:31:53 - mmengine - INFO - Epoch(train) [69][600/1879] lr: 2.0000e-02 eta: 1 day, 14:55:31 time: 0.9122 data_time: 0.0286 memory: 11089 grad_norm: 4.2668 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1866 loss: 2.1866 2022/08/02 22:32:11 - mmengine - INFO - Epoch(train) [69][620/1879] lr: 2.0000e-02 eta: 1 day, 14:55:12 time: 0.8982 data_time: 0.0282 memory: 11089 grad_norm: 4.2164 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1076 loss: 2.1076 2022/08/02 22:32:29 - mmengine - INFO - Epoch(train) [69][640/1879] lr: 2.0000e-02 eta: 1 day, 14:54:54 time: 0.9153 data_time: 0.0235 memory: 11089 grad_norm: 4.1616 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9292 loss: 1.9292 2022/08/02 22:32:47 - mmengine - INFO - Epoch(train) [69][660/1879] lr: 2.0000e-02 eta: 1 day, 14:54:36 time: 0.9164 data_time: 0.0215 memory: 11089 grad_norm: 4.1221 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1372 loss: 2.1372 2022/08/02 22:33:06 - mmengine - INFO - Epoch(train) [69][680/1879] lr: 2.0000e-02 eta: 1 day, 14:54:18 time: 0.9280 data_time: 0.0230 memory: 11089 grad_norm: 4.1015 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8049 loss: 1.8049 2022/08/02 22:33:24 - mmengine - INFO - Epoch(train) [69][700/1879] lr: 2.0000e-02 eta: 1 day, 14:54:00 time: 0.9128 data_time: 0.0277 memory: 11089 grad_norm: 4.1289 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0198 loss: 2.0198 2022/08/02 22:33:42 - mmengine - INFO - Epoch(train) [69][720/1879] lr: 2.0000e-02 eta: 1 day, 14:53:41 time: 0.9146 data_time: 0.0323 memory: 11089 grad_norm: 4.2187 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8702 loss: 1.8702 2022/08/02 22:34:01 - mmengine - INFO - Epoch(train) [69][740/1879] lr: 2.0000e-02 eta: 1 day, 14:53:23 time: 0.9211 data_time: 0.0289 memory: 11089 grad_norm: 4.1222 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9033 loss: 1.9033 2022/08/02 22:34:19 - mmengine - INFO - Epoch(train) [69][760/1879] lr: 2.0000e-02 eta: 1 day, 14:53:06 time: 0.9346 data_time: 0.0247 memory: 11089 grad_norm: 4.1701 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8699 loss: 1.8699 2022/08/02 22:34:38 - mmengine - INFO - Epoch(train) [69][780/1879] lr: 2.0000e-02 eta: 1 day, 14:52:47 time: 0.9136 data_time: 0.0277 memory: 11089 grad_norm: 4.1196 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8396 loss: 1.8396 2022/08/02 22:34:56 - mmengine - INFO - Epoch(train) [69][800/1879] lr: 2.0000e-02 eta: 1 day, 14:52:29 time: 0.9218 data_time: 0.0289 memory: 11089 grad_norm: 4.2435 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1635 loss: 2.1635 2022/08/02 22:35:14 - mmengine - INFO - Epoch(train) [69][820/1879] lr: 2.0000e-02 eta: 1 day, 14:52:11 time: 0.9090 data_time: 0.0288 memory: 11089 grad_norm: 4.3266 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8137 loss: 1.8137 2022/08/02 22:35:33 - mmengine - INFO - Epoch(train) [69][840/1879] lr: 2.0000e-02 eta: 1 day, 14:51:53 time: 0.9153 data_time: 0.0242 memory: 11089 grad_norm: 4.2937 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9455 loss: 1.9455 2022/08/02 22:35:51 - mmengine - INFO - Epoch(train) [69][860/1879] lr: 2.0000e-02 eta: 1 day, 14:51:34 time: 0.8961 data_time: 0.0238 memory: 11089 grad_norm: 4.2076 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9201 loss: 1.9201 2022/08/02 22:36:09 - mmengine - INFO - Epoch(train) [69][880/1879] lr: 2.0000e-02 eta: 1 day, 14:51:16 time: 0.9077 data_time: 0.0258 memory: 11089 grad_norm: 4.2412 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1160 loss: 2.1160 2022/08/02 22:36:27 - mmengine - INFO - Epoch(train) [69][900/1879] lr: 2.0000e-02 eta: 1 day, 14:50:57 time: 0.9163 data_time: 0.0290 memory: 11089 grad_norm: 4.2698 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7663 loss: 1.7663 2022/08/02 22:36:45 - mmengine - INFO - Epoch(train) [69][920/1879] lr: 2.0000e-02 eta: 1 day, 14:50:39 time: 0.9147 data_time: 0.0336 memory: 11089 grad_norm: 4.1115 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7731 loss: 1.7731 2022/08/02 22:37:04 - mmengine - INFO - Epoch(train) [69][940/1879] lr: 2.0000e-02 eta: 1 day, 14:50:21 time: 0.9157 data_time: 0.0298 memory: 11089 grad_norm: 4.2175 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0377 loss: 2.0377 2022/08/02 22:37:22 - mmengine - INFO - Epoch(train) [69][960/1879] lr: 2.0000e-02 eta: 1 day, 14:50:03 time: 0.9146 data_time: 0.0254 memory: 11089 grad_norm: 4.0930 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8421 loss: 1.8421 2022/08/02 22:37:40 - mmengine - INFO - Epoch(train) [69][980/1879] lr: 2.0000e-02 eta: 1 day, 14:49:44 time: 0.9079 data_time: 0.0251 memory: 11089 grad_norm: 4.2141 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0061 loss: 2.0061 2022/08/02 22:37:59 - mmengine - INFO - Epoch(train) [69][1000/1879] lr: 2.0000e-02 eta: 1 day, 14:49:26 time: 0.9183 data_time: 0.0306 memory: 11089 grad_norm: 4.1675 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8552 loss: 1.8552 2022/08/02 22:38:17 - mmengine - INFO - Epoch(train) [69][1020/1879] lr: 2.0000e-02 eta: 1 day, 14:49:08 time: 0.9050 data_time: 0.0251 memory: 11089 grad_norm: 4.0924 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1454 loss: 2.1454 2022/08/02 22:38:35 - mmengine - INFO - Epoch(train) [69][1040/1879] lr: 2.0000e-02 eta: 1 day, 14:48:49 time: 0.9026 data_time: 0.0284 memory: 11089 grad_norm: 4.1376 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8100 loss: 1.8100 2022/08/02 22:38:53 - mmengine - INFO - Epoch(train) [69][1060/1879] lr: 2.0000e-02 eta: 1 day, 14:48:31 time: 0.9072 data_time: 0.0298 memory: 11089 grad_norm: 4.2672 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9930 loss: 1.9930 2022/08/02 22:39:11 - mmengine - INFO - Epoch(train) [69][1080/1879] lr: 2.0000e-02 eta: 1 day, 14:48:13 time: 0.9127 data_time: 0.0216 memory: 11089 grad_norm: 4.0906 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1096 loss: 2.1096 2022/08/02 22:39:29 - mmengine - INFO - Epoch(train) [69][1100/1879] lr: 2.0000e-02 eta: 1 day, 14:47:54 time: 0.9113 data_time: 0.0305 memory: 11089 grad_norm: 4.1815 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9466 loss: 1.9466 2022/08/02 22:39:48 - mmengine - INFO - Epoch(train) [69][1120/1879] lr: 2.0000e-02 eta: 1 day, 14:47:36 time: 0.9230 data_time: 0.0271 memory: 11089 grad_norm: 4.1561 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9556 loss: 1.9556 2022/08/02 22:40:07 - mmengine - INFO - Epoch(train) [69][1140/1879] lr: 2.0000e-02 eta: 1 day, 14:47:19 time: 0.9418 data_time: 0.0257 memory: 11089 grad_norm: 4.2374 top1_acc: 0.4375 top5_acc: 0.4375 loss_cls: 1.9876 loss: 1.9876 2022/08/02 22:40:25 - mmengine - INFO - Epoch(train) [69][1160/1879] lr: 2.0000e-02 eta: 1 day, 14:47:01 time: 0.9229 data_time: 0.0316 memory: 11089 grad_norm: 4.1834 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0193 loss: 2.0193 2022/08/02 22:40:44 - mmengine - INFO - Epoch(train) [69][1180/1879] lr: 2.0000e-02 eta: 1 day, 14:46:43 time: 0.9341 data_time: 0.0328 memory: 11089 grad_norm: 4.2714 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8982 loss: 1.8982 2022/08/02 22:41:02 - mmengine - INFO - Epoch(train) [69][1200/1879] lr: 2.0000e-02 eta: 1 day, 14:46:25 time: 0.9344 data_time: 0.0340 memory: 11089 grad_norm: 4.3460 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9248 loss: 1.9248 2022/08/02 22:41:21 - mmengine - INFO - Epoch(train) [69][1220/1879] lr: 2.0000e-02 eta: 1 day, 14:46:07 time: 0.9182 data_time: 0.0237 memory: 11089 grad_norm: 4.3362 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9660 loss: 1.9660 2022/08/02 22:41:28 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 22:41:39 - mmengine - INFO - Epoch(train) [69][1240/1879] lr: 2.0000e-02 eta: 1 day, 14:45:49 time: 0.9135 data_time: 0.0282 memory: 11089 grad_norm: 4.2855 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1496 loss: 2.1496 2022/08/02 22:41:57 - mmengine - INFO - Epoch(train) [69][1260/1879] lr: 2.0000e-02 eta: 1 day, 14:45:30 time: 0.9068 data_time: 0.0249 memory: 11089 grad_norm: 4.0734 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2487 loss: 2.2487 2022/08/02 22:42:16 - mmengine - INFO - Epoch(train) [69][1280/1879] lr: 2.0000e-02 eta: 1 day, 14:45:12 time: 0.9166 data_time: 0.0281 memory: 11089 grad_norm: 4.3046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9003 loss: 1.9003 2022/08/02 22:42:34 - mmengine - INFO - Epoch(train) [69][1300/1879] lr: 2.0000e-02 eta: 1 day, 14:44:54 time: 0.9104 data_time: 0.0237 memory: 11089 grad_norm: 4.2256 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9809 loss: 1.9809 2022/08/02 22:42:52 - mmengine - INFO - Epoch(train) [69][1320/1879] lr: 2.0000e-02 eta: 1 day, 14:44:36 time: 0.9199 data_time: 0.0234 memory: 11089 grad_norm: 4.1210 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8992 loss: 1.8992 2022/08/02 22:43:11 - mmengine - INFO - Epoch(train) [69][1340/1879] lr: 2.0000e-02 eta: 1 day, 14:44:18 time: 0.9145 data_time: 0.0279 memory: 11089 grad_norm: 4.0276 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7326 loss: 1.7326 2022/08/02 22:43:29 - mmengine - INFO - Epoch(train) [69][1360/1879] lr: 2.0000e-02 eta: 1 day, 14:44:00 time: 0.9239 data_time: 0.0327 memory: 11089 grad_norm: 4.1004 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7897 loss: 1.7897 2022/08/02 22:43:47 - mmengine - INFO - Epoch(train) [69][1380/1879] lr: 2.0000e-02 eta: 1 day, 14:43:41 time: 0.9050 data_time: 0.0265 memory: 11089 grad_norm: 4.1484 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8698 loss: 1.8698 2022/08/02 22:44:06 - mmengine - INFO - Epoch(train) [69][1400/1879] lr: 2.0000e-02 eta: 1 day, 14:43:23 time: 0.9175 data_time: 0.0270 memory: 11089 grad_norm: 4.1325 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8034 loss: 1.8034 2022/08/02 22:44:24 - mmengine - INFO - Epoch(train) [69][1420/1879] lr: 2.0000e-02 eta: 1 day, 14:43:05 time: 0.9260 data_time: 0.0297 memory: 11089 grad_norm: 4.2014 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9545 loss: 1.9545 2022/08/02 22:44:43 - mmengine - INFO - Epoch(train) [69][1440/1879] lr: 2.0000e-02 eta: 1 day, 14:42:47 time: 0.9284 data_time: 0.0298 memory: 11089 grad_norm: 4.1535 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8883 loss: 1.8883 2022/08/02 22:45:01 - mmengine - INFO - Epoch(train) [69][1460/1879] lr: 2.0000e-02 eta: 1 day, 14:42:29 time: 0.9080 data_time: 0.0237 memory: 11089 grad_norm: 4.1972 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8361 loss: 1.8361 2022/08/02 22:45:19 - mmengine - INFO - Epoch(train) [69][1480/1879] lr: 2.0000e-02 eta: 1 day, 14:42:11 time: 0.9207 data_time: 0.0317 memory: 11089 grad_norm: 4.2727 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9675 loss: 1.9675 2022/08/02 22:45:37 - mmengine - INFO - Epoch(train) [69][1500/1879] lr: 2.0000e-02 eta: 1 day, 14:41:52 time: 0.9186 data_time: 0.0297 memory: 11089 grad_norm: 4.1921 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0493 loss: 2.0493 2022/08/02 22:45:56 - mmengine - INFO - Epoch(train) [69][1520/1879] lr: 2.0000e-02 eta: 1 day, 14:41:34 time: 0.9062 data_time: 0.0290 memory: 11089 grad_norm: 4.2261 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9382 loss: 1.9382 2022/08/02 22:46:14 - mmengine - INFO - Epoch(train) [69][1540/1879] lr: 2.0000e-02 eta: 1 day, 14:41:16 time: 0.9059 data_time: 0.0241 memory: 11089 grad_norm: 4.1446 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1338 loss: 2.1338 2022/08/02 22:46:32 - mmengine - INFO - Epoch(train) [69][1560/1879] lr: 2.0000e-02 eta: 1 day, 14:40:57 time: 0.9154 data_time: 0.0249 memory: 11089 grad_norm: 4.1273 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.9428 loss: 1.9428 2022/08/02 22:46:51 - mmengine - INFO - Epoch(train) [69][1580/1879] lr: 2.0000e-02 eta: 1 day, 14:40:39 time: 0.9264 data_time: 0.0250 memory: 11089 grad_norm: 4.1426 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7379 loss: 1.7379 2022/08/02 22:47:09 - mmengine - INFO - Epoch(train) [69][1600/1879] lr: 2.0000e-02 eta: 1 day, 14:40:21 time: 0.9033 data_time: 0.0239 memory: 11089 grad_norm: 4.1035 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0097 loss: 2.0097 2022/08/02 22:47:27 - mmengine - INFO - Epoch(train) [69][1620/1879] lr: 2.0000e-02 eta: 1 day, 14:40:03 time: 0.9049 data_time: 0.0264 memory: 11089 grad_norm: 4.1608 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9772 loss: 1.9772 2022/08/02 22:47:45 - mmengine - INFO - Epoch(train) [69][1640/1879] lr: 2.0000e-02 eta: 1 day, 14:39:44 time: 0.9087 data_time: 0.0252 memory: 11089 grad_norm: 4.1199 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8216 loss: 1.8216 2022/08/02 22:48:04 - mmengine - INFO - Epoch(train) [69][1660/1879] lr: 2.0000e-02 eta: 1 day, 14:39:26 time: 0.9253 data_time: 0.0241 memory: 11089 grad_norm: 4.2913 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0545 loss: 2.0545 2022/08/02 22:48:22 - mmengine - INFO - Epoch(train) [69][1680/1879] lr: 2.0000e-02 eta: 1 day, 14:39:08 time: 0.9249 data_time: 0.0313 memory: 11089 grad_norm: 4.0718 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9048 loss: 1.9048 2022/08/02 22:48:40 - mmengine - INFO - Epoch(train) [69][1700/1879] lr: 2.0000e-02 eta: 1 day, 14:38:50 time: 0.9125 data_time: 0.0242 memory: 11089 grad_norm: 4.2932 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8916 loss: 1.8916 2022/08/02 22:48:58 - mmengine - INFO - Epoch(train) [69][1720/1879] lr: 2.0000e-02 eta: 1 day, 14:38:32 time: 0.9146 data_time: 0.0297 memory: 11089 grad_norm: 4.2191 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0075 loss: 2.0075 2022/08/02 22:49:17 - mmengine - INFO - Epoch(train) [69][1740/1879] lr: 2.0000e-02 eta: 1 day, 14:38:13 time: 0.9039 data_time: 0.0269 memory: 11089 grad_norm: 4.1860 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8554 loss: 1.8554 2022/08/02 22:49:35 - mmengine - INFO - Epoch(train) [69][1760/1879] lr: 2.0000e-02 eta: 1 day, 14:37:55 time: 0.9176 data_time: 0.0331 memory: 11089 grad_norm: 4.1758 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9469 loss: 1.9469 2022/08/02 22:49:53 - mmengine - INFO - Epoch(train) [69][1780/1879] lr: 2.0000e-02 eta: 1 day, 14:37:37 time: 0.9163 data_time: 0.0250 memory: 11089 grad_norm: 4.2571 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9570 loss: 1.9570 2022/08/02 22:50:12 - mmengine - INFO - Epoch(train) [69][1800/1879] lr: 2.0000e-02 eta: 1 day, 14:37:19 time: 0.9234 data_time: 0.0309 memory: 11089 grad_norm: 4.1899 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1632 loss: 2.1632 2022/08/02 22:50:30 - mmengine - INFO - Epoch(train) [69][1820/1879] lr: 2.0000e-02 eta: 1 day, 14:37:01 time: 0.9161 data_time: 0.0250 memory: 11089 grad_norm: 4.1593 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8143 loss: 1.8143 2022/08/02 22:50:48 - mmengine - INFO - Epoch(train) [69][1840/1879] lr: 2.0000e-02 eta: 1 day, 14:36:42 time: 0.9087 data_time: 0.0265 memory: 11089 grad_norm: 4.2093 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6768 loss: 1.6768 2022/08/02 22:51:06 - mmengine - INFO - Epoch(train) [69][1860/1879] lr: 2.0000e-02 eta: 1 day, 14:36:24 time: 0.9086 data_time: 0.0304 memory: 11089 grad_norm: 4.2090 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2520 loss: 2.2520 2022/08/02 22:51:23 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 22:51:23 - mmengine - INFO - Epoch(train) [69][1879/1879] lr: 2.0000e-02 eta: 1 day, 14:36:24 time: 0.8912 data_time: 0.0234 memory: 11089 grad_norm: 4.1561 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 2.0046 loss: 2.0046 2022/08/02 22:51:43 - mmengine - INFO - Epoch(train) [70][20/1879] lr: 2.0000e-02 eta: 1 day, 14:35:29 time: 0.9640 data_time: 0.1035 memory: 11089 grad_norm: 4.1110 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0000 loss: 2.0000 2022/08/02 22:52:01 - mmengine - INFO - Epoch(train) [70][40/1879] lr: 2.0000e-02 eta: 1 day, 14:35:11 time: 0.9121 data_time: 0.0279 memory: 11089 grad_norm: 4.2510 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.9716 loss: 1.9716 2022/08/02 22:52:19 - mmengine - INFO - Epoch(train) [70][60/1879] lr: 2.0000e-02 eta: 1 day, 14:34:53 time: 0.9147 data_time: 0.0305 memory: 11089 grad_norm: 4.1421 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8969 loss: 1.8969 2022/08/02 22:52:38 - mmengine - INFO - Epoch(train) [70][80/1879] lr: 2.0000e-02 eta: 1 day, 14:34:34 time: 0.9143 data_time: 0.0274 memory: 11089 grad_norm: 4.1176 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7694 loss: 1.7694 2022/08/02 22:52:56 - mmengine - INFO - Epoch(train) [70][100/1879] lr: 2.0000e-02 eta: 1 day, 14:34:17 time: 0.9289 data_time: 0.0347 memory: 11089 grad_norm: 4.1278 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8852 loss: 1.8852 2022/08/02 22:53:14 - mmengine - INFO - Epoch(train) [70][120/1879] lr: 2.0000e-02 eta: 1 day, 14:33:58 time: 0.9156 data_time: 0.0311 memory: 11089 grad_norm: 4.2311 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8592 loss: 1.8592 2022/08/02 22:53:33 - mmengine - INFO - Epoch(train) [70][140/1879] lr: 2.0000e-02 eta: 1 day, 14:33:40 time: 0.9083 data_time: 0.0226 memory: 11089 grad_norm: 4.1195 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9861 loss: 1.9861 2022/08/02 22:53:51 - mmengine - INFO - Epoch(train) [70][160/1879] lr: 2.0000e-02 eta: 1 day, 14:33:22 time: 0.9137 data_time: 0.0285 memory: 11089 grad_norm: 4.1263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7733 loss: 1.7733 2022/08/02 22:54:09 - mmengine - INFO - Epoch(train) [70][180/1879] lr: 2.0000e-02 eta: 1 day, 14:33:04 time: 0.9132 data_time: 0.0244 memory: 11089 grad_norm: 4.2226 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0705 loss: 2.0705 2022/08/02 22:54:28 - mmengine - INFO - Epoch(train) [70][200/1879] lr: 2.0000e-02 eta: 1 day, 14:32:45 time: 0.9214 data_time: 0.0249 memory: 11089 grad_norm: 4.1511 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9328 loss: 1.9328 2022/08/02 22:54:46 - mmengine - INFO - Epoch(train) [70][220/1879] lr: 2.0000e-02 eta: 1 day, 14:32:27 time: 0.9153 data_time: 0.0388 memory: 11089 grad_norm: 4.0467 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8818 loss: 1.8818 2022/08/02 22:55:04 - mmengine - INFO - Epoch(train) [70][240/1879] lr: 2.0000e-02 eta: 1 day, 14:32:09 time: 0.9259 data_time: 0.0304 memory: 11089 grad_norm: 4.1583 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8517 loss: 1.8517 2022/08/02 22:55:23 - mmengine - INFO - Epoch(train) [70][260/1879] lr: 2.0000e-02 eta: 1 day, 14:31:51 time: 0.9194 data_time: 0.0257 memory: 11089 grad_norm: 4.1449 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9211 loss: 1.9211 2022/08/02 22:55:41 - mmengine - INFO - Epoch(train) [70][280/1879] lr: 2.0000e-02 eta: 1 day, 14:31:33 time: 0.9125 data_time: 0.0258 memory: 11089 grad_norm: 4.1008 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7615 loss: 1.7615 2022/08/02 22:55:59 - mmengine - INFO - Epoch(train) [70][300/1879] lr: 2.0000e-02 eta: 1 day, 14:31:15 time: 0.9178 data_time: 0.0291 memory: 11089 grad_norm: 4.1335 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0886 loss: 2.0886 2022/08/02 22:56:18 - mmengine - INFO - Epoch(train) [70][320/1879] lr: 2.0000e-02 eta: 1 day, 14:30:57 time: 0.9443 data_time: 0.0294 memory: 11089 grad_norm: 4.1745 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7268 loss: 1.7268 2022/08/02 22:56:37 - mmengine - INFO - Epoch(train) [70][340/1879] lr: 2.0000e-02 eta: 1 day, 14:30:39 time: 0.9259 data_time: 0.0367 memory: 11089 grad_norm: 4.0395 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8695 loss: 1.8695 2022/08/02 22:56:45 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 22:56:55 - mmengine - INFO - Epoch(train) [70][360/1879] lr: 2.0000e-02 eta: 1 day, 14:30:21 time: 0.8955 data_time: 0.0286 memory: 11089 grad_norm: 4.0321 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9123 loss: 1.9123 2022/08/02 22:57:13 - mmengine - INFO - Epoch(train) [70][380/1879] lr: 2.0000e-02 eta: 1 day, 14:30:02 time: 0.9012 data_time: 0.0233 memory: 11089 grad_norm: 4.2586 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.9680 loss: 1.9680 2022/08/02 22:57:31 - mmengine - INFO - Epoch(train) [70][400/1879] lr: 2.0000e-02 eta: 1 day, 14:29:44 time: 0.9247 data_time: 0.0387 memory: 11089 grad_norm: 4.3013 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0433 loss: 2.0433 2022/08/02 22:57:50 - mmengine - INFO - Epoch(train) [70][420/1879] lr: 2.0000e-02 eta: 1 day, 14:29:26 time: 0.9176 data_time: 0.0289 memory: 11089 grad_norm: 4.0935 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1199 loss: 2.1199 2022/08/02 22:58:08 - mmengine - INFO - Epoch(train) [70][440/1879] lr: 2.0000e-02 eta: 1 day, 14:29:08 time: 0.9208 data_time: 0.0241 memory: 11089 grad_norm: 4.2113 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7903 loss: 1.7903 2022/08/02 22:58:27 - mmengine - INFO - Epoch(train) [70][460/1879] lr: 2.0000e-02 eta: 1 day, 14:28:50 time: 0.9274 data_time: 0.0303 memory: 11089 grad_norm: 4.1131 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8549 loss: 1.8549 2022/08/02 22:58:45 - mmengine - INFO - Epoch(train) [70][480/1879] lr: 2.0000e-02 eta: 1 day, 14:28:32 time: 0.9250 data_time: 0.0282 memory: 11089 grad_norm: 4.2221 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1201 loss: 2.1201 2022/08/02 22:59:03 - mmengine - INFO - Epoch(train) [70][500/1879] lr: 2.0000e-02 eta: 1 day, 14:28:14 time: 0.9137 data_time: 0.0271 memory: 11089 grad_norm: 4.1139 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8220 loss: 1.8220 2022/08/02 22:59:22 - mmengine - INFO - Epoch(train) [70][520/1879] lr: 2.0000e-02 eta: 1 day, 14:27:55 time: 0.9067 data_time: 0.0305 memory: 11089 grad_norm: 4.1674 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8771 loss: 1.8771 2022/08/02 22:59:40 - mmengine - INFO - Epoch(train) [70][540/1879] lr: 2.0000e-02 eta: 1 day, 14:27:37 time: 0.9036 data_time: 0.0248 memory: 11089 grad_norm: 4.1499 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8559 loss: 1.8559 2022/08/02 22:59:58 - mmengine - INFO - Epoch(train) [70][560/1879] lr: 2.0000e-02 eta: 1 day, 14:27:19 time: 0.9178 data_time: 0.0223 memory: 11089 grad_norm: 4.2843 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0109 loss: 2.0109 2022/08/02 23:00:16 - mmengine - INFO - Epoch(train) [70][580/1879] lr: 2.0000e-02 eta: 1 day, 14:27:00 time: 0.9080 data_time: 0.0342 memory: 11089 grad_norm: 4.2044 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0195 loss: 2.0195 2022/08/02 23:00:35 - mmengine - INFO - Epoch(train) [70][600/1879] lr: 2.0000e-02 eta: 1 day, 14:26:42 time: 0.9182 data_time: 0.0240 memory: 11089 grad_norm: 4.0552 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8189 loss: 1.8189 2022/08/02 23:00:53 - mmengine - INFO - Epoch(train) [70][620/1879] lr: 2.0000e-02 eta: 1 day, 14:26:24 time: 0.9117 data_time: 0.0290 memory: 11089 grad_norm: 4.1313 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1055 loss: 2.1055 2022/08/02 23:01:11 - mmengine - INFO - Epoch(train) [70][640/1879] lr: 2.0000e-02 eta: 1 day, 14:26:06 time: 0.9345 data_time: 0.0275 memory: 11089 grad_norm: 4.1288 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1951 loss: 2.1951 2022/08/02 23:01:30 - mmengine - INFO - Epoch(train) [70][660/1879] lr: 2.0000e-02 eta: 1 day, 14:25:48 time: 0.9053 data_time: 0.0224 memory: 11089 grad_norm: 4.1860 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1737 loss: 2.1737 2022/08/02 23:01:48 - mmengine - INFO - Epoch(train) [70][680/1879] lr: 2.0000e-02 eta: 1 day, 14:25:30 time: 0.9238 data_time: 0.0320 memory: 11089 grad_norm: 4.1135 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8975 loss: 1.8975 2022/08/02 23:02:06 - mmengine - INFO - Epoch(train) [70][700/1879] lr: 2.0000e-02 eta: 1 day, 14:25:11 time: 0.9043 data_time: 0.0243 memory: 11089 grad_norm: 4.1257 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0823 loss: 2.0823 2022/08/02 23:02:24 - mmengine - INFO - Epoch(train) [70][720/1879] lr: 2.0000e-02 eta: 1 day, 14:24:53 time: 0.9134 data_time: 0.0231 memory: 11089 grad_norm: 4.1943 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8436 loss: 1.8436 2022/08/02 23:02:43 - mmengine - INFO - Epoch(train) [70][740/1879] lr: 2.0000e-02 eta: 1 day, 14:24:35 time: 0.9200 data_time: 0.0297 memory: 11089 grad_norm: 4.2411 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9679 loss: 1.9679 2022/08/02 23:03:01 - mmengine - INFO - Epoch(train) [70][760/1879] lr: 2.0000e-02 eta: 1 day, 14:24:17 time: 0.9115 data_time: 0.0263 memory: 11089 grad_norm: 4.1678 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7558 loss: 1.7558 2022/08/02 23:03:19 - mmengine - INFO - Epoch(train) [70][780/1879] lr: 2.0000e-02 eta: 1 day, 14:23:58 time: 0.9106 data_time: 0.0300 memory: 11089 grad_norm: 4.1599 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1178 loss: 2.1178 2022/08/02 23:03:38 - mmengine - INFO - Epoch(train) [70][800/1879] lr: 2.0000e-02 eta: 1 day, 14:23:40 time: 0.9135 data_time: 0.0245 memory: 11089 grad_norm: 4.2603 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0705 loss: 2.0705 2022/08/02 23:03:56 - mmengine - INFO - Epoch(train) [70][820/1879] lr: 2.0000e-02 eta: 1 day, 14:23:22 time: 0.9271 data_time: 0.0236 memory: 11089 grad_norm: 4.2118 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9023 loss: 1.9023 2022/08/02 23:04:14 - mmengine - INFO - Epoch(train) [70][840/1879] lr: 2.0000e-02 eta: 1 day, 14:23:04 time: 0.9204 data_time: 0.0296 memory: 11089 grad_norm: 4.2174 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9594 loss: 1.9594 2022/08/02 23:04:33 - mmengine - INFO - Epoch(train) [70][860/1879] lr: 2.0000e-02 eta: 1 day, 14:22:46 time: 0.9157 data_time: 0.0237 memory: 11089 grad_norm: 4.2156 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2037 loss: 2.2037 2022/08/02 23:04:52 - mmengine - INFO - Epoch(train) [70][880/1879] lr: 2.0000e-02 eta: 1 day, 14:22:28 time: 0.9489 data_time: 0.0299 memory: 11089 grad_norm: 4.2631 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0017 loss: 2.0017 2022/08/02 23:05:10 - mmengine - INFO - Epoch(train) [70][900/1879] lr: 2.0000e-02 eta: 1 day, 14:22:10 time: 0.9260 data_time: 0.0218 memory: 11089 grad_norm: 4.1702 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9495 loss: 1.9495 2022/08/02 23:05:29 - mmengine - INFO - Epoch(train) [70][920/1879] lr: 2.0000e-02 eta: 1 day, 14:21:53 time: 0.9386 data_time: 0.0233 memory: 11089 grad_norm: 4.1996 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0823 loss: 2.0823 2022/08/02 23:05:47 - mmengine - INFO - Epoch(train) [70][940/1879] lr: 2.0000e-02 eta: 1 day, 14:21:35 time: 0.9137 data_time: 0.0255 memory: 11089 grad_norm: 4.0917 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0608 loss: 2.0608 2022/08/02 23:06:06 - mmengine - INFO - Epoch(train) [70][960/1879] lr: 2.0000e-02 eta: 1 day, 14:21:16 time: 0.9191 data_time: 0.0280 memory: 11089 grad_norm: 4.1978 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8248 loss: 1.8248 2022/08/02 23:06:24 - mmengine - INFO - Epoch(train) [70][980/1879] lr: 2.0000e-02 eta: 1 day, 14:20:59 time: 0.9298 data_time: 0.0296 memory: 11089 grad_norm: 4.1812 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.0317 loss: 2.0317 2022/08/02 23:06:42 - mmengine - INFO - Epoch(train) [70][1000/1879] lr: 2.0000e-02 eta: 1 day, 14:20:40 time: 0.9000 data_time: 0.0250 memory: 11089 grad_norm: 4.2175 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0644 loss: 2.0644 2022/08/02 23:07:01 - mmengine - INFO - Epoch(train) [70][1020/1879] lr: 2.0000e-02 eta: 1 day, 14:20:22 time: 0.9064 data_time: 0.0254 memory: 11089 grad_norm: 4.1455 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9380 loss: 1.9380 2022/08/02 23:07:19 - mmengine - INFO - Epoch(train) [70][1040/1879] lr: 2.0000e-02 eta: 1 day, 14:20:04 time: 0.9303 data_time: 0.0299 memory: 11089 grad_norm: 4.2663 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1513 loss: 2.1513 2022/08/02 23:07:38 - mmengine - INFO - Epoch(train) [70][1060/1879] lr: 2.0000e-02 eta: 1 day, 14:19:46 time: 0.9167 data_time: 0.0298 memory: 11089 grad_norm: 4.2176 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9834 loss: 1.9834 2022/08/02 23:07:56 - mmengine - INFO - Epoch(train) [70][1080/1879] lr: 2.0000e-02 eta: 1 day, 14:19:27 time: 0.9178 data_time: 0.0263 memory: 11089 grad_norm: 4.1444 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9906 loss: 1.9906 2022/08/02 23:08:14 - mmengine - INFO - Epoch(train) [70][1100/1879] lr: 2.0000e-02 eta: 1 day, 14:19:09 time: 0.9264 data_time: 0.0315 memory: 11089 grad_norm: 4.1559 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1771 loss: 2.1771 2022/08/02 23:08:33 - mmengine - INFO - Epoch(train) [70][1120/1879] lr: 2.0000e-02 eta: 1 day, 14:18:51 time: 0.9221 data_time: 0.0270 memory: 11089 grad_norm: 4.2244 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9567 loss: 1.9567 2022/08/02 23:08:51 - mmengine - INFO - Epoch(train) [70][1140/1879] lr: 2.0000e-02 eta: 1 day, 14:18:33 time: 0.9248 data_time: 0.0214 memory: 11089 grad_norm: 4.2269 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9218 loss: 1.9218 2022/08/02 23:09:10 - mmengine - INFO - Epoch(train) [70][1160/1879] lr: 2.0000e-02 eta: 1 day, 14:18:15 time: 0.9263 data_time: 0.0266 memory: 11089 grad_norm: 4.2710 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8536 loss: 1.8536 2022/08/02 23:09:28 - mmengine - INFO - Epoch(train) [70][1180/1879] lr: 2.0000e-02 eta: 1 day, 14:17:57 time: 0.9159 data_time: 0.0313 memory: 11089 grad_norm: 4.1692 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1725 loss: 2.1725 2022/08/02 23:09:46 - mmengine - INFO - Epoch(train) [70][1200/1879] lr: 2.0000e-02 eta: 1 day, 14:17:39 time: 0.9029 data_time: 0.0243 memory: 11089 grad_norm: 4.2482 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9073 loss: 1.9073 2022/08/02 23:10:05 - mmengine - INFO - Epoch(train) [70][1220/1879] lr: 2.0000e-02 eta: 1 day, 14:17:21 time: 0.9262 data_time: 0.0268 memory: 11089 grad_norm: 4.2637 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0641 loss: 2.0641 2022/08/02 23:10:23 - mmengine - INFO - Epoch(train) [70][1240/1879] lr: 2.0000e-02 eta: 1 day, 14:17:03 time: 0.9191 data_time: 0.0265 memory: 11089 grad_norm: 4.2392 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9172 loss: 1.9172 2022/08/02 23:10:41 - mmengine - INFO - Epoch(train) [70][1260/1879] lr: 2.0000e-02 eta: 1 day, 14:16:44 time: 0.9081 data_time: 0.0235 memory: 11089 grad_norm: 4.2194 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9110 loss: 1.9110 2022/08/02 23:10:59 - mmengine - INFO - Epoch(train) [70][1280/1879] lr: 2.0000e-02 eta: 1 day, 14:16:26 time: 0.9023 data_time: 0.0252 memory: 11089 grad_norm: 4.1788 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9152 loss: 1.9152 2022/08/02 23:11:18 - mmengine - INFO - Epoch(train) [70][1300/1879] lr: 2.0000e-02 eta: 1 day, 14:16:08 time: 0.9110 data_time: 0.0338 memory: 11089 grad_norm: 4.2000 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8864 loss: 1.8864 2022/08/02 23:11:36 - mmengine - INFO - Epoch(train) [70][1320/1879] lr: 2.0000e-02 eta: 1 day, 14:15:49 time: 0.9011 data_time: 0.0227 memory: 11089 grad_norm: 4.1437 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9905 loss: 1.9905 2022/08/02 23:11:54 - mmengine - INFO - Epoch(train) [70][1340/1879] lr: 2.0000e-02 eta: 1 day, 14:15:31 time: 0.9312 data_time: 0.0235 memory: 11089 grad_norm: 4.1365 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0537 loss: 2.0537 2022/08/02 23:12:03 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 23:12:13 - mmengine - INFO - Epoch(train) [70][1360/1879] lr: 2.0000e-02 eta: 1 day, 14:15:13 time: 0.9303 data_time: 0.0279 memory: 11089 grad_norm: 4.1475 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0376 loss: 2.0376 2022/08/02 23:12:31 - mmengine - INFO - Epoch(train) [70][1380/1879] lr: 2.0000e-02 eta: 1 day, 14:14:55 time: 0.9120 data_time: 0.0304 memory: 11089 grad_norm: 4.1664 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0008 loss: 2.0008 2022/08/02 23:12:50 - mmengine - INFO - Epoch(train) [70][1400/1879] lr: 2.0000e-02 eta: 1 day, 14:14:37 time: 0.9269 data_time: 0.0233 memory: 11089 grad_norm: 4.1219 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0482 loss: 2.0482 2022/08/02 23:13:08 - mmengine - INFO - Epoch(train) [70][1420/1879] lr: 2.0000e-02 eta: 1 day, 14:14:19 time: 0.9038 data_time: 0.0293 memory: 11089 grad_norm: 4.0334 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7718 loss: 1.7718 2022/08/02 23:13:26 - mmengine - INFO - Epoch(train) [70][1440/1879] lr: 2.0000e-02 eta: 1 day, 14:14:00 time: 0.9159 data_time: 0.0276 memory: 11089 grad_norm: 4.1594 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0571 loss: 2.0571 2022/08/02 23:13:44 - mmengine - INFO - Epoch(train) [70][1460/1879] lr: 2.0000e-02 eta: 1 day, 14:13:42 time: 0.9244 data_time: 0.0258 memory: 11089 grad_norm: 4.2058 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9930 loss: 1.9930 2022/08/02 23:14:03 - mmengine - INFO - Epoch(train) [70][1480/1879] lr: 2.0000e-02 eta: 1 day, 14:13:24 time: 0.9254 data_time: 0.0277 memory: 11089 grad_norm: 4.1004 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9151 loss: 1.9151 2022/08/02 23:14:22 - mmengine - INFO - Epoch(train) [70][1500/1879] lr: 2.0000e-02 eta: 1 day, 14:13:07 time: 0.9272 data_time: 0.0247 memory: 11089 grad_norm: 4.0728 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0955 loss: 2.0955 2022/08/02 23:14:40 - mmengine - INFO - Epoch(train) [70][1520/1879] lr: 2.0000e-02 eta: 1 day, 14:12:49 time: 0.9300 data_time: 0.0313 memory: 11089 grad_norm: 4.1763 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0707 loss: 2.0707 2022/08/02 23:14:58 - mmengine - INFO - Epoch(train) [70][1540/1879] lr: 2.0000e-02 eta: 1 day, 14:12:30 time: 0.9148 data_time: 0.0237 memory: 11089 grad_norm: 4.1490 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9023 loss: 1.9023 2022/08/02 23:15:17 - mmengine - INFO - Epoch(train) [70][1560/1879] lr: 2.0000e-02 eta: 1 day, 14:12:12 time: 0.9241 data_time: 0.0266 memory: 11089 grad_norm: 4.1415 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8031 loss: 1.8031 2022/08/02 23:15:35 - mmengine - INFO - Epoch(train) [70][1580/1879] lr: 2.0000e-02 eta: 1 day, 14:11:54 time: 0.9052 data_time: 0.0246 memory: 11089 grad_norm: 4.1157 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9016 loss: 1.9016 2022/08/02 23:15:53 - mmengine - INFO - Epoch(train) [70][1600/1879] lr: 2.0000e-02 eta: 1 day, 14:11:36 time: 0.9142 data_time: 0.0328 memory: 11089 grad_norm: 4.2104 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.7700 loss: 1.7700 2022/08/02 23:16:11 - mmengine - INFO - Epoch(train) [70][1620/1879] lr: 2.0000e-02 eta: 1 day, 14:11:17 time: 0.8980 data_time: 0.0208 memory: 11089 grad_norm: 4.2197 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1057 loss: 2.1057 2022/08/02 23:16:29 - mmengine - INFO - Epoch(train) [70][1640/1879] lr: 2.0000e-02 eta: 1 day, 14:10:59 time: 0.9101 data_time: 0.0248 memory: 11089 grad_norm: 4.1659 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1098 loss: 2.1098 2022/08/02 23:16:48 - mmengine - INFO - Epoch(train) [70][1660/1879] lr: 2.0000e-02 eta: 1 day, 14:10:41 time: 0.9186 data_time: 0.0292 memory: 11089 grad_norm: 4.1595 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0020 loss: 2.0020 2022/08/02 23:17:07 - mmengine - INFO - Epoch(train) [70][1680/1879] lr: 2.0000e-02 eta: 1 day, 14:10:23 time: 0.9371 data_time: 0.0257 memory: 11089 grad_norm: 4.1761 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9447 loss: 1.9447 2022/08/02 23:17:25 - mmengine - INFO - Epoch(train) [70][1700/1879] lr: 2.0000e-02 eta: 1 day, 14:10:05 time: 0.9181 data_time: 0.0313 memory: 11089 grad_norm: 4.1127 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7995 loss: 1.7995 2022/08/02 23:17:43 - mmengine - INFO - Epoch(train) [70][1720/1879] lr: 2.0000e-02 eta: 1 day, 14:09:47 time: 0.9257 data_time: 0.0310 memory: 11089 grad_norm: 4.1539 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9823 loss: 1.9823 2022/08/02 23:18:02 - mmengine - INFO - Epoch(train) [70][1740/1879] lr: 2.0000e-02 eta: 1 day, 14:09:29 time: 0.9180 data_time: 0.0268 memory: 11089 grad_norm: 4.2507 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0471 loss: 2.0471 2022/08/02 23:18:20 - mmengine - INFO - Epoch(train) [70][1760/1879] lr: 2.0000e-02 eta: 1 day, 14:09:10 time: 0.9012 data_time: 0.0248 memory: 11089 grad_norm: 4.2642 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8608 loss: 1.8608 2022/08/02 23:18:38 - mmengine - INFO - Epoch(train) [70][1780/1879] lr: 2.0000e-02 eta: 1 day, 14:08:52 time: 0.9146 data_time: 0.0276 memory: 11089 grad_norm: 4.0767 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8368 loss: 1.8368 2022/08/02 23:18:56 - mmengine - INFO - Epoch(train) [70][1800/1879] lr: 2.0000e-02 eta: 1 day, 14:08:34 time: 0.9076 data_time: 0.0354 memory: 11089 grad_norm: 4.0829 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8455 loss: 1.8455 2022/08/02 23:19:15 - mmengine - INFO - Epoch(train) [70][1820/1879] lr: 2.0000e-02 eta: 1 day, 14:08:16 time: 0.9214 data_time: 0.0187 memory: 11089 grad_norm: 4.1271 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8649 loss: 1.8649 2022/08/02 23:19:34 - mmengine - INFO - Epoch(train) [70][1840/1879] lr: 2.0000e-02 eta: 1 day, 14:07:58 time: 0.9458 data_time: 0.0296 memory: 11089 grad_norm: 4.2966 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9419 loss: 1.9419 2022/08/02 23:19:52 - mmengine - INFO - Epoch(train) [70][1860/1879] lr: 2.0000e-02 eta: 1 day, 14:07:39 time: 0.9010 data_time: 0.0204 memory: 11089 grad_norm: 4.2958 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1057 loss: 2.1057 2022/08/02 23:20:09 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 23:20:09 - mmengine - INFO - Epoch(train) [70][1879/1879] lr: 2.0000e-02 eta: 1 day, 14:07:39 time: 0.8924 data_time: 0.0232 memory: 11089 grad_norm: 4.3563 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.1266 loss: 2.1266 2022/08/02 23:20:18 - mmengine - INFO - Epoch(val) [70][20/155] eta: 0:00:59 time: 0.4423 data_time: 0.1339 memory: 1950 2022/08/02 23:20:24 - mmengine - INFO - Epoch(val) [70][40/155] eta: 0:00:36 time: 0.3147 data_time: 0.0105 memory: 1950 2022/08/02 23:20:30 - mmengine - INFO - Epoch(val) [70][60/155] eta: 0:00:31 time: 0.3269 data_time: 0.0129 memory: 1950 2022/08/02 23:20:37 - mmengine - INFO - Epoch(val) [70][80/155] eta: 0:00:24 time: 0.3257 data_time: 0.0119 memory: 1950 2022/08/02 23:20:44 - mmengine - INFO - Epoch(val) [70][100/155] eta: 0:00:17 time: 0.3270 data_time: 0.0134 memory: 1950 2022/08/02 23:20:50 - mmengine - INFO - Epoch(val) [70][120/155] eta: 0:00:11 time: 0.3332 data_time: 0.0115 memory: 1950 2022/08/02 23:20:58 - mmengine - INFO - Epoch(val) [70][140/155] eta: 0:00:05 time: 0.3840 data_time: 0.0100 memory: 1950 2022/08/02 23:21:05 - mmengine - INFO - Epoch(val) [70][155/155] acc/top1: 0.6026 acc/top5: 0.8241 acc/mean1: 0.6025 2022/08/02 23:21:25 - mmengine - INFO - Epoch(train) [71][20/1879] lr: 2.0000e-02 eta: 1 day, 14:06:46 time: 1.0090 data_time: 0.1245 memory: 11089 grad_norm: 4.1648 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6229 loss: 1.6229 2022/08/02 23:21:44 - mmengine - INFO - Epoch(train) [71][40/1879] lr: 2.0000e-02 eta: 1 day, 14:06:28 time: 0.9185 data_time: 0.0277 memory: 11089 grad_norm: 4.3369 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9708 loss: 1.9708 2022/08/02 23:22:02 - mmengine - INFO - Epoch(train) [71][60/1879] lr: 2.0000e-02 eta: 1 day, 14:06:10 time: 0.9324 data_time: 0.0306 memory: 11089 grad_norm: 4.1633 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9381 loss: 1.9381 2022/08/02 23:22:21 - mmengine - INFO - Epoch(train) [71][80/1879] lr: 2.0000e-02 eta: 1 day, 14:05:52 time: 0.9190 data_time: 0.0249 memory: 11089 grad_norm: 4.1210 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8345 loss: 1.8345 2022/08/02 23:22:39 - mmengine - INFO - Epoch(train) [71][100/1879] lr: 2.0000e-02 eta: 1 day, 14:05:34 time: 0.9110 data_time: 0.0224 memory: 11089 grad_norm: 4.2136 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9950 loss: 1.9950 2022/08/02 23:22:57 - mmengine - INFO - Epoch(train) [71][120/1879] lr: 2.0000e-02 eta: 1 day, 14:05:16 time: 0.9196 data_time: 0.0274 memory: 11089 grad_norm: 4.2212 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0336 loss: 2.0336 2022/08/02 23:23:15 - mmengine - INFO - Epoch(train) [71][140/1879] lr: 2.0000e-02 eta: 1 day, 14:04:57 time: 0.9064 data_time: 0.0252 memory: 11089 grad_norm: 4.2687 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8840 loss: 1.8840 2022/08/02 23:23:34 - mmengine - INFO - Epoch(train) [71][160/1879] lr: 2.0000e-02 eta: 1 day, 14:04:39 time: 0.9201 data_time: 0.0341 memory: 11089 grad_norm: 4.2006 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9774 loss: 1.9774 2022/08/02 23:23:52 - mmengine - INFO - Epoch(train) [71][180/1879] lr: 2.0000e-02 eta: 1 day, 14:04:21 time: 0.9113 data_time: 0.0264 memory: 11089 grad_norm: 4.1677 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.0219 loss: 2.0219 2022/08/02 23:24:11 - mmengine - INFO - Epoch(train) [71][200/1879] lr: 2.0000e-02 eta: 1 day, 14:04:03 time: 0.9225 data_time: 0.0267 memory: 11089 grad_norm: 4.2564 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6902 loss: 1.6902 2022/08/02 23:24:29 - mmengine - INFO - Epoch(train) [71][220/1879] lr: 2.0000e-02 eta: 1 day, 14:03:45 time: 0.9123 data_time: 0.0254 memory: 11089 grad_norm: 4.1963 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9904 loss: 1.9904 2022/08/02 23:24:47 - mmengine - INFO - Epoch(train) [71][240/1879] lr: 2.0000e-02 eta: 1 day, 14:03:27 time: 0.9194 data_time: 0.0247 memory: 11089 grad_norm: 4.2567 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8717 loss: 1.8717 2022/08/02 23:25:06 - mmengine - INFO - Epoch(train) [71][260/1879] lr: 2.0000e-02 eta: 1 day, 14:03:08 time: 0.9180 data_time: 0.0283 memory: 11089 grad_norm: 4.1982 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0497 loss: 2.0497 2022/08/02 23:25:24 - mmengine - INFO - Epoch(train) [71][280/1879] lr: 2.0000e-02 eta: 1 day, 14:02:50 time: 0.9119 data_time: 0.0234 memory: 11089 grad_norm: 4.2475 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0845 loss: 2.0845 2022/08/02 23:25:42 - mmengine - INFO - Epoch(train) [71][300/1879] lr: 2.0000e-02 eta: 1 day, 14:02:32 time: 0.9184 data_time: 0.0238 memory: 11089 grad_norm: 4.1849 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7789 loss: 1.7789 2022/08/02 23:26:00 - mmengine - INFO - Epoch(train) [71][320/1879] lr: 2.0000e-02 eta: 1 day, 14:02:14 time: 0.9137 data_time: 0.0236 memory: 11089 grad_norm: 4.2842 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9138 loss: 1.9138 2022/08/02 23:26:19 - mmengine - INFO - Epoch(train) [71][340/1879] lr: 2.0000e-02 eta: 1 day, 14:01:56 time: 0.9163 data_time: 0.0276 memory: 11089 grad_norm: 4.2341 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8080 loss: 1.8080 2022/08/02 23:26:37 - mmengine - INFO - Epoch(train) [71][360/1879] lr: 2.0000e-02 eta: 1 day, 14:01:37 time: 0.9202 data_time: 0.0281 memory: 11089 grad_norm: 4.2209 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7894 loss: 1.7894 2022/08/02 23:26:56 - mmengine - INFO - Epoch(train) [71][380/1879] lr: 2.0000e-02 eta: 1 day, 14:01:19 time: 0.9186 data_time: 0.0243 memory: 11089 grad_norm: 4.1683 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9582 loss: 1.9582 2022/08/02 23:27:14 - mmengine - INFO - Epoch(train) [71][400/1879] lr: 2.0000e-02 eta: 1 day, 14:01:01 time: 0.9252 data_time: 0.0245 memory: 11089 grad_norm: 4.2478 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8883 loss: 1.8883 2022/08/02 23:27:32 - mmengine - INFO - Epoch(train) [71][420/1879] lr: 2.0000e-02 eta: 1 day, 14:00:43 time: 0.9121 data_time: 0.0257 memory: 11089 grad_norm: 4.1818 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7228 loss: 1.7228 2022/08/02 23:27:51 - mmengine - INFO - Epoch(train) [71][440/1879] lr: 2.0000e-02 eta: 1 day, 14:00:26 time: 0.9470 data_time: 0.0337 memory: 11089 grad_norm: 4.1755 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9951 loss: 1.9951 2022/08/02 23:28:10 - mmengine - INFO - Epoch(train) [71][460/1879] lr: 2.0000e-02 eta: 1 day, 14:00:08 time: 0.9242 data_time: 0.0249 memory: 11089 grad_norm: 4.2068 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8532 loss: 1.8532 2022/08/02 23:28:19 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 23:28:28 - mmengine - INFO - Epoch(train) [71][480/1879] lr: 2.0000e-02 eta: 1 day, 13:59:49 time: 0.9157 data_time: 0.0285 memory: 11089 grad_norm: 4.0924 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9077 loss: 1.9077 2022/08/02 23:28:46 - mmengine - INFO - Epoch(train) [71][500/1879] lr: 2.0000e-02 eta: 1 day, 13:59:31 time: 0.9239 data_time: 0.0263 memory: 11089 grad_norm: 4.1704 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9838 loss: 1.9838 2022/08/02 23:29:05 - mmengine - INFO - Epoch(train) [71][520/1879] lr: 2.0000e-02 eta: 1 day, 13:59:13 time: 0.9263 data_time: 0.0228 memory: 11089 grad_norm: 4.1340 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0007 loss: 2.0007 2022/08/02 23:29:23 - mmengine - INFO - Epoch(train) [71][540/1879] lr: 2.0000e-02 eta: 1 day, 13:58:55 time: 0.9141 data_time: 0.0314 memory: 11089 grad_norm: 4.1230 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7902 loss: 1.7902 2022/08/02 23:29:41 - mmengine - INFO - Epoch(train) [71][560/1879] lr: 2.0000e-02 eta: 1 day, 13:58:37 time: 0.9085 data_time: 0.0260 memory: 11089 grad_norm: 4.2882 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9218 loss: 1.9218 2022/08/02 23:30:00 - mmengine - INFO - Epoch(train) [71][580/1879] lr: 2.0000e-02 eta: 1 day, 13:58:19 time: 0.9146 data_time: 0.0240 memory: 11089 grad_norm: 4.1576 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.8010 loss: 1.8010 2022/08/02 23:30:18 - mmengine - INFO - Epoch(train) [71][600/1879] lr: 2.0000e-02 eta: 1 day, 13:58:01 time: 0.9196 data_time: 0.0262 memory: 11089 grad_norm: 4.2117 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0837 loss: 2.0837 2022/08/02 23:30:36 - mmengine - INFO - Epoch(train) [71][620/1879] lr: 2.0000e-02 eta: 1 day, 13:57:42 time: 0.9084 data_time: 0.0257 memory: 11089 grad_norm: 4.1815 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7917 loss: 1.7917 2022/08/02 23:30:55 - mmengine - INFO - Epoch(train) [71][640/1879] lr: 2.0000e-02 eta: 1 day, 13:57:24 time: 0.9339 data_time: 0.0336 memory: 11089 grad_norm: 4.1935 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0851 loss: 2.0851 2022/08/02 23:31:13 - mmengine - INFO - Epoch(train) [71][660/1879] lr: 2.0000e-02 eta: 1 day, 13:57:06 time: 0.9178 data_time: 0.0293 memory: 11089 grad_norm: 4.1613 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9925 loss: 1.9925 2022/08/02 23:31:32 - mmengine - INFO - Epoch(train) [71][680/1879] lr: 2.0000e-02 eta: 1 day, 13:56:48 time: 0.9063 data_time: 0.0251 memory: 11089 grad_norm: 4.1998 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8656 loss: 1.8656 2022/08/02 23:31:50 - mmengine - INFO - Epoch(train) [71][700/1879] lr: 2.0000e-02 eta: 1 day, 13:56:30 time: 0.9360 data_time: 0.0319 memory: 11089 grad_norm: 4.1930 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0354 loss: 2.0354 2022/08/02 23:32:09 - mmengine - INFO - Epoch(train) [71][720/1879] lr: 2.0000e-02 eta: 1 day, 13:56:12 time: 0.9219 data_time: 0.0308 memory: 11089 grad_norm: 4.1610 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9741 loss: 1.9741 2022/08/02 23:32:27 - mmengine - INFO - Epoch(train) [71][740/1879] lr: 2.0000e-02 eta: 1 day, 13:55:54 time: 0.9163 data_time: 0.0268 memory: 11089 grad_norm: 4.2346 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.9490 loss: 1.9490 2022/08/02 23:32:46 - mmengine - INFO - Epoch(train) [71][760/1879] lr: 2.0000e-02 eta: 1 day, 13:55:36 time: 0.9255 data_time: 0.0281 memory: 11089 grad_norm: 4.3009 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9076 loss: 1.9076 2022/08/02 23:33:04 - mmengine - INFO - Epoch(train) [71][780/1879] lr: 2.0000e-02 eta: 1 day, 13:55:18 time: 0.9104 data_time: 0.0252 memory: 11089 grad_norm: 4.1794 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2851 loss: 2.2851 2022/08/02 23:33:22 - mmengine - INFO - Epoch(train) [71][800/1879] lr: 2.0000e-02 eta: 1 day, 13:54:59 time: 0.9171 data_time: 0.0220 memory: 11089 grad_norm: 4.2076 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9115 loss: 1.9115 2022/08/02 23:33:40 - mmengine - INFO - Epoch(train) [71][820/1879] lr: 2.0000e-02 eta: 1 day, 13:54:41 time: 0.9104 data_time: 0.0290 memory: 11089 grad_norm: 4.1871 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7596 loss: 1.7596 2022/08/02 23:33:58 - mmengine - INFO - Epoch(train) [71][840/1879] lr: 2.0000e-02 eta: 1 day, 13:54:22 time: 0.8973 data_time: 0.0278 memory: 11089 grad_norm: 4.2450 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9251 loss: 1.9251 2022/08/02 23:34:16 - mmengine - INFO - Epoch(train) [71][860/1879] lr: 2.0000e-02 eta: 1 day, 13:54:04 time: 0.9071 data_time: 0.0237 memory: 11089 grad_norm: 4.1548 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1571 loss: 2.1571 2022/08/02 23:34:35 - mmengine - INFO - Epoch(train) [71][880/1879] lr: 2.0000e-02 eta: 1 day, 13:53:46 time: 0.9203 data_time: 0.0240 memory: 11089 grad_norm: 4.2155 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1157 loss: 2.1157 2022/08/02 23:34:53 - mmengine - INFO - Epoch(train) [71][900/1879] lr: 2.0000e-02 eta: 1 day, 13:53:28 time: 0.9089 data_time: 0.0269 memory: 11089 grad_norm: 4.1272 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8962 loss: 1.8962 2022/08/02 23:35:12 - mmengine - INFO - Epoch(train) [71][920/1879] lr: 2.0000e-02 eta: 1 day, 13:53:10 time: 0.9435 data_time: 0.0312 memory: 11089 grad_norm: 4.2797 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9580 loss: 1.9580 2022/08/02 23:35:30 - mmengine - INFO - Epoch(train) [71][940/1879] lr: 2.0000e-02 eta: 1 day, 13:52:52 time: 0.9191 data_time: 0.0274 memory: 11089 grad_norm: 4.1355 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7773 loss: 1.7773 2022/08/02 23:35:48 - mmengine - INFO - Epoch(train) [71][960/1879] lr: 2.0000e-02 eta: 1 day, 13:52:34 time: 0.9126 data_time: 0.0299 memory: 11089 grad_norm: 4.2339 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8922 loss: 1.8922 2022/08/02 23:36:06 - mmengine - INFO - Epoch(train) [71][980/1879] lr: 2.0000e-02 eta: 1 day, 13:52:15 time: 0.8994 data_time: 0.0253 memory: 11089 grad_norm: 4.2882 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9691 loss: 1.9691 2022/08/02 23:36:25 - mmengine - INFO - Epoch(train) [71][1000/1879] lr: 2.0000e-02 eta: 1 day, 13:51:57 time: 0.9250 data_time: 0.0278 memory: 11089 grad_norm: 4.2151 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9035 loss: 1.9035 2022/08/02 23:36:43 - mmengine - INFO - Epoch(train) [71][1020/1879] lr: 2.0000e-02 eta: 1 day, 13:51:39 time: 0.9154 data_time: 0.0290 memory: 11089 grad_norm: 4.3078 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8776 loss: 1.8776 2022/08/02 23:37:01 - mmengine - INFO - Epoch(train) [71][1040/1879] lr: 2.0000e-02 eta: 1 day, 13:51:20 time: 0.9018 data_time: 0.0236 memory: 11089 grad_norm: 4.1773 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8082 loss: 1.8082 2022/08/02 23:37:19 - mmengine - INFO - Epoch(train) [71][1060/1879] lr: 2.0000e-02 eta: 1 day, 13:51:02 time: 0.9006 data_time: 0.0256 memory: 11089 grad_norm: 4.1345 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0115 loss: 2.0115 2022/08/02 23:37:38 - mmengine - INFO - Epoch(train) [71][1080/1879] lr: 2.0000e-02 eta: 1 day, 13:50:44 time: 0.9209 data_time: 0.0266 memory: 11089 grad_norm: 4.1269 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0492 loss: 2.0492 2022/08/02 23:37:57 - mmengine - INFO - Epoch(train) [71][1100/1879] lr: 2.0000e-02 eta: 1 day, 13:50:26 time: 0.9414 data_time: 0.0326 memory: 11089 grad_norm: 4.1219 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7794 loss: 1.7794 2022/08/02 23:38:15 - mmengine - INFO - Epoch(train) [71][1120/1879] lr: 2.0000e-02 eta: 1 day, 13:50:08 time: 0.9287 data_time: 0.0264 memory: 11089 grad_norm: 4.1071 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9480 loss: 1.9480 2022/08/02 23:38:34 - mmengine - INFO - Epoch(train) [71][1140/1879] lr: 2.0000e-02 eta: 1 day, 13:49:51 time: 0.9375 data_time: 0.0315 memory: 11089 grad_norm: 4.2903 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8479 loss: 1.8479 2022/08/02 23:38:52 - mmengine - INFO - Epoch(train) [71][1160/1879] lr: 2.0000e-02 eta: 1 day, 13:49:33 time: 0.9227 data_time: 0.0251 memory: 11089 grad_norm: 4.2935 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9663 loss: 1.9663 2022/08/02 23:39:10 - mmengine - INFO - Epoch(train) [71][1180/1879] lr: 2.0000e-02 eta: 1 day, 13:49:14 time: 0.9041 data_time: 0.0279 memory: 11089 grad_norm: 4.1582 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0230 loss: 2.0230 2022/08/02 23:39:29 - mmengine - INFO - Epoch(train) [71][1200/1879] lr: 2.0000e-02 eta: 1 day, 13:48:56 time: 0.9075 data_time: 0.0297 memory: 11089 grad_norm: 4.2291 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8670 loss: 1.8670 2022/08/02 23:39:47 - mmengine - INFO - Epoch(train) [71][1220/1879] lr: 2.0000e-02 eta: 1 day, 13:48:38 time: 0.9204 data_time: 0.0301 memory: 11089 grad_norm: 4.0992 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9703 loss: 1.9703 2022/08/02 23:40:06 - mmengine - INFO - Epoch(train) [71][1240/1879] lr: 2.0000e-02 eta: 1 day, 13:48:20 time: 0.9323 data_time: 0.0325 memory: 11089 grad_norm: 4.2390 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9210 loss: 1.9210 2022/08/02 23:40:24 - mmengine - INFO - Epoch(train) [71][1260/1879] lr: 2.0000e-02 eta: 1 day, 13:48:02 time: 0.9163 data_time: 0.0272 memory: 11089 grad_norm: 4.1333 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0876 loss: 2.0876 2022/08/02 23:40:43 - mmengine - INFO - Epoch(train) [71][1280/1879] lr: 2.0000e-02 eta: 1 day, 13:47:44 time: 0.9372 data_time: 0.0384 memory: 11089 grad_norm: 4.0626 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8743 loss: 1.8743 2022/08/02 23:41:01 - mmengine - INFO - Epoch(train) [71][1300/1879] lr: 2.0000e-02 eta: 1 day, 13:47:26 time: 0.9154 data_time: 0.0283 memory: 11089 grad_norm: 4.2151 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.1227 loss: 2.1227 2022/08/02 23:41:19 - mmengine - INFO - Epoch(train) [71][1320/1879] lr: 2.0000e-02 eta: 1 day, 13:47:07 time: 0.8941 data_time: 0.0213 memory: 11089 grad_norm: 4.2906 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1424 loss: 2.1424 2022/08/02 23:41:37 - mmengine - INFO - Epoch(train) [71][1340/1879] lr: 2.0000e-02 eta: 1 day, 13:46:49 time: 0.9129 data_time: 0.0267 memory: 11089 grad_norm: 4.1227 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8630 loss: 1.8630 2022/08/02 23:41:56 - mmengine - INFO - Epoch(train) [71][1360/1879] lr: 2.0000e-02 eta: 1 day, 13:46:31 time: 0.9311 data_time: 0.0210 memory: 11089 grad_norm: 4.2643 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0722 loss: 2.0722 2022/08/02 23:42:14 - mmengine - INFO - Epoch(train) [71][1380/1879] lr: 2.0000e-02 eta: 1 day, 13:46:13 time: 0.9133 data_time: 0.0250 memory: 11089 grad_norm: 4.1353 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0022 loss: 2.0022 2022/08/02 23:42:32 - mmengine - INFO - Epoch(train) [71][1400/1879] lr: 2.0000e-02 eta: 1 day, 13:45:54 time: 0.9059 data_time: 0.0294 memory: 11089 grad_norm: 4.1544 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9300 loss: 1.9300 2022/08/02 23:42:51 - mmengine - INFO - Epoch(train) [71][1420/1879] lr: 2.0000e-02 eta: 1 day, 13:45:36 time: 0.9204 data_time: 0.0268 memory: 11089 grad_norm: 4.2108 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9085 loss: 1.9085 2022/08/02 23:43:09 - mmengine - INFO - Epoch(train) [71][1440/1879] lr: 2.0000e-02 eta: 1 day, 13:45:18 time: 0.9232 data_time: 0.0342 memory: 11089 grad_norm: 4.3092 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0440 loss: 2.0440 2022/08/02 23:43:28 - mmengine - INFO - Epoch(train) [71][1460/1879] lr: 2.0000e-02 eta: 1 day, 13:45:00 time: 0.9320 data_time: 0.0302 memory: 11089 grad_norm: 4.0767 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8617 loss: 1.8617 2022/08/02 23:43:37 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 23:43:46 - mmengine - INFO - Epoch(train) [71][1480/1879] lr: 2.0000e-02 eta: 1 day, 13:44:42 time: 0.9119 data_time: 0.0244 memory: 11089 grad_norm: 4.2147 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0726 loss: 2.0726 2022/08/02 23:44:04 - mmengine - INFO - Epoch(train) [71][1500/1879] lr: 2.0000e-02 eta: 1 day, 13:44:24 time: 0.9169 data_time: 0.0253 memory: 11089 grad_norm: 4.1394 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1456 loss: 2.1456 2022/08/02 23:44:23 - mmengine - INFO - Epoch(train) [71][1520/1879] lr: 2.0000e-02 eta: 1 day, 13:44:06 time: 0.9261 data_time: 0.0330 memory: 11089 grad_norm: 4.2209 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8452 loss: 1.8452 2022/08/02 23:44:41 - mmengine - INFO - Epoch(train) [71][1540/1879] lr: 2.0000e-02 eta: 1 day, 13:43:48 time: 0.9146 data_time: 0.0236 memory: 11089 grad_norm: 4.1927 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9040 loss: 1.9040 2022/08/02 23:45:00 - mmengine - INFO - Epoch(train) [71][1560/1879] lr: 2.0000e-02 eta: 1 day, 13:43:30 time: 0.9292 data_time: 0.0284 memory: 11089 grad_norm: 4.2150 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9347 loss: 1.9347 2022/08/02 23:45:18 - mmengine - INFO - Epoch(train) [71][1580/1879] lr: 2.0000e-02 eta: 1 day, 13:43:11 time: 0.9037 data_time: 0.0240 memory: 11089 grad_norm: 4.2495 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8784 loss: 1.8784 2022/08/02 23:45:36 - mmengine - INFO - Epoch(train) [71][1600/1879] lr: 2.0000e-02 eta: 1 day, 13:42:53 time: 0.9039 data_time: 0.0208 memory: 11089 grad_norm: 4.2140 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1376 loss: 2.1376 2022/08/02 23:45:54 - mmengine - INFO - Epoch(train) [71][1620/1879] lr: 2.0000e-02 eta: 1 day, 13:42:34 time: 0.9088 data_time: 0.0194 memory: 11089 grad_norm: 4.2822 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1317 loss: 2.1317 2022/08/02 23:46:13 - mmengine - INFO - Epoch(train) [71][1640/1879] lr: 2.0000e-02 eta: 1 day, 13:42:17 time: 0.9304 data_time: 0.0298 memory: 11089 grad_norm: 4.1408 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.6354 loss: 1.6354 2022/08/02 23:46:31 - mmengine - INFO - Epoch(train) [71][1660/1879] lr: 2.0000e-02 eta: 1 day, 13:41:58 time: 0.9046 data_time: 0.0217 memory: 11089 grad_norm: 4.0682 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8652 loss: 1.8652 2022/08/02 23:46:49 - mmengine - INFO - Epoch(train) [71][1680/1879] lr: 2.0000e-02 eta: 1 day, 13:41:40 time: 0.9158 data_time: 0.0277 memory: 11089 grad_norm: 4.3576 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0340 loss: 2.0340 2022/08/02 23:47:07 - mmengine - INFO - Epoch(train) [71][1700/1879] lr: 2.0000e-02 eta: 1 day, 13:41:22 time: 0.9128 data_time: 0.0221 memory: 11089 grad_norm: 4.2234 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8858 loss: 1.8858 2022/08/02 23:47:26 - mmengine - INFO - Epoch(train) [71][1720/1879] lr: 2.0000e-02 eta: 1 day, 13:41:04 time: 0.9266 data_time: 0.0227 memory: 11089 grad_norm: 4.1014 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9321 loss: 1.9321 2022/08/02 23:47:44 - mmengine - INFO - Epoch(train) [71][1740/1879] lr: 2.0000e-02 eta: 1 day, 13:40:45 time: 0.9031 data_time: 0.0235 memory: 11089 grad_norm: 4.1344 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8203 loss: 1.8203 2022/08/02 23:48:02 - mmengine - INFO - Epoch(train) [71][1760/1879] lr: 2.0000e-02 eta: 1 day, 13:40:27 time: 0.9213 data_time: 0.0333 memory: 11089 grad_norm: 4.1608 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6971 loss: 1.6971 2022/08/02 23:48:21 - mmengine - INFO - Epoch(train) [71][1780/1879] lr: 2.0000e-02 eta: 1 day, 13:40:09 time: 0.9115 data_time: 0.0256 memory: 11089 grad_norm: 4.1325 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0363 loss: 2.0363 2022/08/02 23:48:39 - mmengine - INFO - Epoch(train) [71][1800/1879] lr: 2.0000e-02 eta: 1 day, 13:39:51 time: 0.9098 data_time: 0.0203 memory: 11089 grad_norm: 4.2892 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8252 loss: 1.8252 2022/08/02 23:48:58 - mmengine - INFO - Epoch(train) [71][1820/1879] lr: 2.0000e-02 eta: 1 day, 13:39:33 time: 0.9398 data_time: 0.0257 memory: 11089 grad_norm: 4.3674 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8093 loss: 1.8093 2022/08/02 23:49:16 - mmengine - INFO - Epoch(train) [71][1840/1879] lr: 2.0000e-02 eta: 1 day, 13:39:15 time: 0.9378 data_time: 0.0317 memory: 11089 grad_norm: 4.2297 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8863 loss: 1.8863 2022/08/02 23:49:35 - mmengine - INFO - Epoch(train) [71][1860/1879] lr: 2.0000e-02 eta: 1 day, 13:38:57 time: 0.9122 data_time: 0.0267 memory: 11089 grad_norm: 4.0929 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9259 loss: 1.9259 2022/08/02 23:49:52 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 23:49:52 - mmengine - INFO - Epoch(train) [71][1879/1879] lr: 2.0000e-02 eta: 1 day, 13:38:57 time: 0.9028 data_time: 0.0337 memory: 11089 grad_norm: 4.3012 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.8360 loss: 1.8360 2022/08/02 23:50:12 - mmengine - INFO - Epoch(train) [72][20/1879] lr: 2.0000e-02 eta: 1 day, 13:38:04 time: 1.0034 data_time: 0.1271 memory: 11089 grad_norm: 4.3006 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9793 loss: 1.9793 2022/08/02 23:50:30 - mmengine - INFO - Epoch(train) [72][40/1879] lr: 2.0000e-02 eta: 1 day, 13:37:46 time: 0.9109 data_time: 0.0296 memory: 11089 grad_norm: 4.1057 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9160 loss: 1.9160 2022/08/02 23:50:48 - mmengine - INFO - Epoch(train) [72][60/1879] lr: 2.0000e-02 eta: 1 day, 13:37:28 time: 0.9143 data_time: 0.0327 memory: 11089 grad_norm: 4.2014 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0520 loss: 2.0520 2022/08/02 23:51:07 - mmengine - INFO - Epoch(train) [72][80/1879] lr: 2.0000e-02 eta: 1 day, 13:37:09 time: 0.9076 data_time: 0.0259 memory: 11089 grad_norm: 4.2432 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0261 loss: 2.0261 2022/08/02 23:51:25 - mmengine - INFO - Epoch(train) [72][100/1879] lr: 2.0000e-02 eta: 1 day, 13:36:51 time: 0.9072 data_time: 0.0224 memory: 11089 grad_norm: 4.3467 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9515 loss: 1.9515 2022/08/02 23:51:43 - mmengine - INFO - Epoch(train) [72][120/1879] lr: 2.0000e-02 eta: 1 day, 13:36:33 time: 0.9145 data_time: 0.0280 memory: 11089 grad_norm: 4.2238 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8997 loss: 1.8997 2022/08/02 23:52:02 - mmengine - INFO - Epoch(train) [72][140/1879] lr: 2.0000e-02 eta: 1 day, 13:36:14 time: 0.9194 data_time: 0.0278 memory: 11089 grad_norm: 4.1731 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9175 loss: 1.9175 2022/08/02 23:52:20 - mmengine - INFO - Epoch(train) [72][160/1879] lr: 2.0000e-02 eta: 1 day, 13:35:56 time: 0.9093 data_time: 0.0310 memory: 11089 grad_norm: 4.2065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1820 loss: 2.1820 2022/08/02 23:52:38 - mmengine - INFO - Epoch(train) [72][180/1879] lr: 2.0000e-02 eta: 1 day, 13:35:38 time: 0.9368 data_time: 0.0343 memory: 11089 grad_norm: 4.1251 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9284 loss: 1.9284 2022/08/02 23:52:57 - mmengine - INFO - Epoch(train) [72][200/1879] lr: 2.0000e-02 eta: 1 day, 13:35:20 time: 0.9087 data_time: 0.0262 memory: 11089 grad_norm: 4.1813 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9647 loss: 1.9647 2022/08/02 23:53:15 - mmengine - INFO - Epoch(train) [72][220/1879] lr: 2.0000e-02 eta: 1 day, 13:35:02 time: 0.9197 data_time: 0.0329 memory: 11089 grad_norm: 4.2584 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8991 loss: 1.8991 2022/08/02 23:53:33 - mmengine - INFO - Epoch(train) [72][240/1879] lr: 2.0000e-02 eta: 1 day, 13:34:44 time: 0.9099 data_time: 0.0234 memory: 11089 grad_norm: 4.1884 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8180 loss: 1.8180 2022/08/02 23:53:51 - mmengine - INFO - Epoch(train) [72][260/1879] lr: 2.0000e-02 eta: 1 day, 13:34:25 time: 0.9061 data_time: 0.0246 memory: 11089 grad_norm: 4.1970 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6533 loss: 1.6533 2022/08/02 23:54:10 - mmengine - INFO - Epoch(train) [72][280/1879] lr: 2.0000e-02 eta: 1 day, 13:34:08 time: 0.9413 data_time: 0.0315 memory: 11089 grad_norm: 4.0929 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7773 loss: 1.7773 2022/08/02 23:54:28 - mmengine - INFO - Epoch(train) [72][300/1879] lr: 2.0000e-02 eta: 1 day, 13:33:49 time: 0.9042 data_time: 0.0279 memory: 11089 grad_norm: 4.2198 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0764 loss: 2.0764 2022/08/02 23:54:47 - mmengine - INFO - Epoch(train) [72][320/1879] lr: 2.0000e-02 eta: 1 day, 13:33:31 time: 0.9216 data_time: 0.0314 memory: 11089 grad_norm: 4.1788 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8531 loss: 1.8531 2022/08/02 23:55:05 - mmengine - INFO - Epoch(train) [72][340/1879] lr: 2.0000e-02 eta: 1 day, 13:33:13 time: 0.9195 data_time: 0.0324 memory: 11089 grad_norm: 4.2566 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8979 loss: 1.8979 2022/08/02 23:55:24 - mmengine - INFO - Epoch(train) [72][360/1879] lr: 2.0000e-02 eta: 1 day, 13:32:55 time: 0.9262 data_time: 0.0219 memory: 11089 grad_norm: 4.1773 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8810 loss: 1.8810 2022/08/02 23:55:42 - mmengine - INFO - Epoch(train) [72][380/1879] lr: 2.0000e-02 eta: 1 day, 13:32:37 time: 0.9313 data_time: 0.0320 memory: 11089 grad_norm: 4.1597 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9011 loss: 1.9011 2022/08/02 23:56:01 - mmengine - INFO - Epoch(train) [72][400/1879] lr: 2.0000e-02 eta: 1 day, 13:32:19 time: 0.9214 data_time: 0.0272 memory: 11089 grad_norm: 4.2122 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0510 loss: 2.0510 2022/08/02 23:56:19 - mmengine - INFO - Epoch(train) [72][420/1879] lr: 2.0000e-02 eta: 1 day, 13:32:01 time: 0.9047 data_time: 0.0312 memory: 11089 grad_norm: 4.1754 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0704 loss: 2.0704 2022/08/02 23:56:37 - mmengine - INFO - Epoch(train) [72][440/1879] lr: 2.0000e-02 eta: 1 day, 13:31:42 time: 0.9159 data_time: 0.0251 memory: 11089 grad_norm: 4.1604 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6809 loss: 1.6809 2022/08/02 23:56:55 - mmengine - INFO - Epoch(train) [72][460/1879] lr: 2.0000e-02 eta: 1 day, 13:31:24 time: 0.9146 data_time: 0.0254 memory: 11089 grad_norm: 4.0452 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7488 loss: 1.7488 2022/08/02 23:57:14 - mmengine - INFO - Epoch(train) [72][480/1879] lr: 2.0000e-02 eta: 1 day, 13:31:06 time: 0.9131 data_time: 0.0301 memory: 11089 grad_norm: 4.2108 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8795 loss: 1.8795 2022/08/02 23:57:32 - mmengine - INFO - Epoch(train) [72][500/1879] lr: 2.0000e-02 eta: 1 day, 13:30:48 time: 0.9058 data_time: 0.0250 memory: 11089 grad_norm: 4.1638 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0744 loss: 2.0744 2022/08/02 23:57:50 - mmengine - INFO - Epoch(train) [72][520/1879] lr: 2.0000e-02 eta: 1 day, 13:30:30 time: 0.9251 data_time: 0.0271 memory: 11089 grad_norm: 4.1413 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0144 loss: 2.0144 2022/08/02 23:58:08 - mmengine - INFO - Epoch(train) [72][540/1879] lr: 2.0000e-02 eta: 1 day, 13:30:11 time: 0.9073 data_time: 0.0250 memory: 11089 grad_norm: 4.0815 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.0361 loss: 2.0361 2022/08/02 23:58:27 - mmengine - INFO - Epoch(train) [72][560/1879] lr: 2.0000e-02 eta: 1 day, 13:29:53 time: 0.9114 data_time: 0.0217 memory: 11089 grad_norm: 4.1306 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8321 loss: 1.8321 2022/08/02 23:58:45 - mmengine - INFO - Epoch(train) [72][580/1879] lr: 2.0000e-02 eta: 1 day, 13:29:34 time: 0.9038 data_time: 0.0308 memory: 11089 grad_norm: 4.2450 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8761 loss: 1.8761 2022/08/02 23:58:55 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/02 23:59:03 - mmengine - INFO - Epoch(train) [72][600/1879] lr: 2.0000e-02 eta: 1 day, 13:29:16 time: 0.9132 data_time: 0.0308 memory: 11089 grad_norm: 4.2290 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.1464 loss: 2.1464 2022/08/02 23:59:21 - mmengine - INFO - Epoch(train) [72][620/1879] lr: 2.0000e-02 eta: 1 day, 13:28:58 time: 0.9071 data_time: 0.0243 memory: 11089 grad_norm: 4.1692 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9039 loss: 1.9039 2022/08/02 23:59:39 - mmengine - INFO - Epoch(train) [72][640/1879] lr: 2.0000e-02 eta: 1 day, 13:28:39 time: 0.9011 data_time: 0.0255 memory: 11089 grad_norm: 4.2294 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9801 loss: 1.9801 2022/08/02 23:59:57 - mmengine - INFO - Epoch(train) [72][660/1879] lr: 2.0000e-02 eta: 1 day, 13:28:21 time: 0.9120 data_time: 0.0266 memory: 11089 grad_norm: 4.3087 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9245 loss: 1.9245 2022/08/03 00:00:19 - mmengine - INFO - Epoch(train) [72][680/1879] lr: 2.0000e-02 eta: 1 day, 13:28:06 time: 1.0542 data_time: 0.0315 memory: 11089 grad_norm: 4.1843 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0102 loss: 2.0102 2022/08/03 00:00:37 - mmengine - INFO - Epoch(train) [72][700/1879] lr: 2.0000e-02 eta: 1 day, 13:27:48 time: 0.9255 data_time: 0.0266 memory: 11089 grad_norm: 4.2022 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9451 loss: 1.9451 2022/08/03 00:00:55 - mmengine - INFO - Epoch(train) [72][720/1879] lr: 2.0000e-02 eta: 1 day, 13:27:30 time: 0.9206 data_time: 0.0240 memory: 11089 grad_norm: 4.2717 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0669 loss: 2.0669 2022/08/03 00:01:14 - mmengine - INFO - Epoch(train) [72][740/1879] lr: 2.0000e-02 eta: 1 day, 13:27:12 time: 0.9115 data_time: 0.0254 memory: 11089 grad_norm: 4.1002 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9400 loss: 1.9400 2022/08/03 00:01:32 - mmengine - INFO - Epoch(train) [72][760/1879] lr: 2.0000e-02 eta: 1 day, 13:26:53 time: 0.9213 data_time: 0.0355 memory: 11089 grad_norm: 4.2469 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0487 loss: 2.0487 2022/08/03 00:01:51 - mmengine - INFO - Epoch(train) [72][780/1879] lr: 2.0000e-02 eta: 1 day, 13:26:36 time: 0.9370 data_time: 0.0282 memory: 11089 grad_norm: 4.0817 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7431 loss: 1.7431 2022/08/03 00:02:09 - mmengine - INFO - Epoch(train) [72][800/1879] lr: 2.0000e-02 eta: 1 day, 13:26:18 time: 0.9225 data_time: 0.0313 memory: 11089 grad_norm: 4.2008 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0386 loss: 2.0386 2022/08/03 00:02:27 - mmengine - INFO - Epoch(train) [72][820/1879] lr: 2.0000e-02 eta: 1 day, 13:25:59 time: 0.9043 data_time: 0.0223 memory: 11089 grad_norm: 4.1841 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7871 loss: 1.7871 2022/08/03 00:02:46 - mmengine - INFO - Epoch(train) [72][840/1879] lr: 2.0000e-02 eta: 1 day, 13:25:41 time: 0.9181 data_time: 0.0265 memory: 11089 grad_norm: 4.0831 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8106 loss: 1.8106 2022/08/03 00:03:04 - mmengine - INFO - Epoch(train) [72][860/1879] lr: 2.0000e-02 eta: 1 day, 13:25:23 time: 0.9309 data_time: 0.0288 memory: 11089 grad_norm: 4.2187 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7118 loss: 1.7118 2022/08/03 00:03:22 - mmengine - INFO - Epoch(train) [72][880/1879] lr: 2.0000e-02 eta: 1 day, 13:25:05 time: 0.9058 data_time: 0.0241 memory: 11089 grad_norm: 4.2250 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9094 loss: 1.9094 2022/08/03 00:03:41 - mmengine - INFO - Epoch(train) [72][900/1879] lr: 2.0000e-02 eta: 1 day, 13:24:47 time: 0.9120 data_time: 0.0269 memory: 11089 grad_norm: 4.2629 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9901 loss: 1.9901 2022/08/03 00:03:59 - mmengine - INFO - Epoch(train) [72][920/1879] lr: 2.0000e-02 eta: 1 day, 13:24:29 time: 0.9285 data_time: 0.0260 memory: 11089 grad_norm: 4.2362 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9330 loss: 1.9330 2022/08/03 00:04:18 - mmengine - INFO - Epoch(train) [72][940/1879] lr: 2.0000e-02 eta: 1 day, 13:24:11 time: 0.9388 data_time: 0.0383 memory: 11089 grad_norm: 4.1321 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0879 loss: 2.0879 2022/08/03 00:04:36 - mmengine - INFO - Epoch(train) [72][960/1879] lr: 2.0000e-02 eta: 1 day, 13:23:53 time: 0.9155 data_time: 0.0269 memory: 11089 grad_norm: 4.2101 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7971 loss: 1.7971 2022/08/03 00:04:55 - mmengine - INFO - Epoch(train) [72][980/1879] lr: 2.0000e-02 eta: 1 day, 13:23:35 time: 0.9249 data_time: 0.0270 memory: 11089 grad_norm: 4.2589 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7714 loss: 1.7714 2022/08/03 00:05:13 - mmengine - INFO - Epoch(train) [72][1000/1879] lr: 2.0000e-02 eta: 1 day, 13:23:16 time: 0.9025 data_time: 0.0230 memory: 11089 grad_norm: 4.0856 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8476 loss: 1.8476 2022/08/03 00:05:31 - mmengine - INFO - Epoch(train) [72][1020/1879] lr: 2.0000e-02 eta: 1 day, 13:22:58 time: 0.9074 data_time: 0.0254 memory: 11089 grad_norm: 4.2718 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8452 loss: 1.8452 2022/08/03 00:05:49 - mmengine - INFO - Epoch(train) [72][1040/1879] lr: 2.0000e-02 eta: 1 day, 13:22:40 time: 0.9134 data_time: 0.0287 memory: 11089 grad_norm: 4.1349 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9741 loss: 1.9741 2022/08/03 00:06:08 - mmengine - INFO - Epoch(train) [72][1060/1879] lr: 2.0000e-02 eta: 1 day, 13:22:21 time: 0.9113 data_time: 0.0291 memory: 11089 grad_norm: 4.2419 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0522 loss: 2.0522 2022/08/03 00:06:26 - mmengine - INFO - Epoch(train) [72][1080/1879] lr: 2.0000e-02 eta: 1 day, 13:22:04 time: 0.9420 data_time: 0.0348 memory: 11089 grad_norm: 4.1895 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9302 loss: 1.9302 2022/08/03 00:06:45 - mmengine - INFO - Epoch(train) [72][1100/1879] lr: 2.0000e-02 eta: 1 day, 13:21:46 time: 0.9161 data_time: 0.0201 memory: 11089 grad_norm: 4.2595 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9135 loss: 1.9135 2022/08/03 00:07:03 - mmengine - INFO - Epoch(train) [72][1120/1879] lr: 2.0000e-02 eta: 1 day, 13:21:27 time: 0.9058 data_time: 0.0267 memory: 11089 grad_norm: 4.1996 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9460 loss: 1.9460 2022/08/03 00:07:21 - mmengine - INFO - Epoch(train) [72][1140/1879] lr: 2.0000e-02 eta: 1 day, 13:21:09 time: 0.9133 data_time: 0.0272 memory: 11089 grad_norm: 4.2345 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8275 loss: 1.8275 2022/08/03 00:07:40 - mmengine - INFO - Epoch(train) [72][1160/1879] lr: 2.0000e-02 eta: 1 day, 13:20:51 time: 0.9232 data_time: 0.0246 memory: 11089 grad_norm: 4.1786 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0473 loss: 2.0473 2022/08/03 00:07:58 - mmengine - INFO - Epoch(train) [72][1180/1879] lr: 2.0000e-02 eta: 1 day, 13:20:33 time: 0.9155 data_time: 0.0257 memory: 11089 grad_norm: 4.2513 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8567 loss: 1.8567 2022/08/03 00:08:16 - mmengine - INFO - Epoch(train) [72][1200/1879] lr: 2.0000e-02 eta: 1 day, 13:20:14 time: 0.8965 data_time: 0.0214 memory: 11089 grad_norm: 4.2325 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9141 loss: 1.9141 2022/08/03 00:08:34 - mmengine - INFO - Epoch(train) [72][1220/1879] lr: 2.0000e-02 eta: 1 day, 13:19:56 time: 0.9195 data_time: 0.0238 memory: 11089 grad_norm: 4.1694 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8041 loss: 1.8041 2022/08/03 00:08:52 - mmengine - INFO - Epoch(train) [72][1240/1879] lr: 2.0000e-02 eta: 1 day, 13:19:38 time: 0.9076 data_time: 0.0308 memory: 11089 grad_norm: 4.2116 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9483 loss: 1.9483 2022/08/03 00:09:11 - mmengine - INFO - Epoch(train) [72][1260/1879] lr: 2.0000e-02 eta: 1 day, 13:19:20 time: 0.9326 data_time: 0.0289 memory: 11089 grad_norm: 4.2205 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1464 loss: 2.1464 2022/08/03 00:09:29 - mmengine - INFO - Epoch(train) [72][1280/1879] lr: 2.0000e-02 eta: 1 day, 13:19:01 time: 0.9029 data_time: 0.0254 memory: 11089 grad_norm: 4.1936 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9149 loss: 1.9149 2022/08/03 00:09:48 - mmengine - INFO - Epoch(train) [72][1300/1879] lr: 2.0000e-02 eta: 1 day, 13:18:43 time: 0.9192 data_time: 0.0249 memory: 11089 grad_norm: 4.0955 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0851 loss: 2.0851 2022/08/03 00:10:06 - mmengine - INFO - Epoch(train) [72][1320/1879] lr: 2.0000e-02 eta: 1 day, 13:18:25 time: 0.9346 data_time: 0.0278 memory: 11089 grad_norm: 4.1325 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9499 loss: 1.9499 2022/08/03 00:10:24 - mmengine - INFO - Epoch(train) [72][1340/1879] lr: 2.0000e-02 eta: 1 day, 13:18:07 time: 0.9106 data_time: 0.0239 memory: 11089 grad_norm: 4.2084 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9000 loss: 1.9000 2022/08/03 00:10:43 - mmengine - INFO - Epoch(train) [72][1360/1879] lr: 2.0000e-02 eta: 1 day, 13:17:49 time: 0.9262 data_time: 0.0293 memory: 11089 grad_norm: 4.1041 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5730 loss: 1.5730 2022/08/03 00:11:01 - mmengine - INFO - Epoch(train) [72][1380/1879] lr: 2.0000e-02 eta: 1 day, 13:17:31 time: 0.9145 data_time: 0.0241 memory: 11089 grad_norm: 4.2711 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8896 loss: 1.8896 2022/08/03 00:11:19 - mmengine - INFO - Epoch(train) [72][1400/1879] lr: 2.0000e-02 eta: 1 day, 13:17:12 time: 0.9059 data_time: 0.0241 memory: 11089 grad_norm: 4.1704 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0276 loss: 2.0276 2022/08/03 00:11:38 - mmengine - INFO - Epoch(train) [72][1420/1879] lr: 2.0000e-02 eta: 1 day, 13:16:54 time: 0.9142 data_time: 0.0258 memory: 11089 grad_norm: 4.2324 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7278 loss: 1.7278 2022/08/03 00:11:56 - mmengine - INFO - Epoch(train) [72][1440/1879] lr: 2.0000e-02 eta: 1 day, 13:16:36 time: 0.9291 data_time: 0.0297 memory: 11089 grad_norm: 4.2375 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9298 loss: 1.9298 2022/08/03 00:12:15 - mmengine - INFO - Epoch(train) [72][1460/1879] lr: 2.0000e-02 eta: 1 day, 13:16:18 time: 0.9195 data_time: 0.0336 memory: 11089 grad_norm: 4.0748 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9267 loss: 1.9267 2022/08/03 00:12:33 - mmengine - INFO - Epoch(train) [72][1480/1879] lr: 2.0000e-02 eta: 1 day, 13:16:00 time: 0.9246 data_time: 0.0298 memory: 11089 grad_norm: 4.1494 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9035 loss: 1.9035 2022/08/03 00:12:51 - mmengine - INFO - Epoch(train) [72][1500/1879] lr: 2.0000e-02 eta: 1 day, 13:15:42 time: 0.9058 data_time: 0.0278 memory: 11089 grad_norm: 4.2621 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0901 loss: 2.0901 2022/08/03 00:13:10 - mmengine - INFO - Epoch(train) [72][1520/1879] lr: 2.0000e-02 eta: 1 day, 13:15:24 time: 0.9280 data_time: 0.0267 memory: 11089 grad_norm: 4.0802 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7285 loss: 1.7285 2022/08/03 00:13:28 - mmengine - INFO - Epoch(train) [72][1540/1879] lr: 2.0000e-02 eta: 1 day, 13:15:06 time: 0.9285 data_time: 0.0292 memory: 11089 grad_norm: 4.1532 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.6807 loss: 1.6807 2022/08/03 00:13:47 - mmengine - INFO - Epoch(train) [72][1560/1879] lr: 2.0000e-02 eta: 1 day, 13:14:48 time: 0.9134 data_time: 0.0216 memory: 11089 grad_norm: 4.3145 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0630 loss: 2.0630 2022/08/03 00:14:05 - mmengine - INFO - Epoch(train) [72][1580/1879] lr: 2.0000e-02 eta: 1 day, 13:14:29 time: 0.9139 data_time: 0.0259 memory: 11089 grad_norm: 4.2857 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8644 loss: 1.8644 2022/08/03 00:14:15 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 00:14:23 - mmengine - INFO - Epoch(train) [72][1600/1879] lr: 2.0000e-02 eta: 1 day, 13:14:11 time: 0.8957 data_time: 0.0237 memory: 11089 grad_norm: 4.2359 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9921 loss: 1.9921 2022/08/03 00:14:41 - mmengine - INFO - Epoch(train) [72][1620/1879] lr: 2.0000e-02 eta: 1 day, 13:13:53 time: 0.9215 data_time: 0.0249 memory: 11089 grad_norm: 4.2589 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9521 loss: 1.9521 2022/08/03 00:15:00 - mmengine - INFO - Epoch(train) [72][1640/1879] lr: 2.0000e-02 eta: 1 day, 13:13:35 time: 0.9380 data_time: 0.0322 memory: 11089 grad_norm: 4.2220 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1204 loss: 2.1204 2022/08/03 00:15:19 - mmengine - INFO - Epoch(train) [72][1660/1879] lr: 2.0000e-02 eta: 1 day, 13:13:17 time: 0.9318 data_time: 0.0281 memory: 11089 grad_norm: 4.2975 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1480 loss: 2.1480 2022/08/03 00:15:37 - mmengine - INFO - Epoch(train) [72][1680/1879] lr: 2.0000e-02 eta: 1 day, 13:12:59 time: 0.9305 data_time: 0.0278 memory: 11089 grad_norm: 4.2593 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0700 loss: 2.0700 2022/08/03 00:15:55 - mmengine - INFO - Epoch(train) [72][1700/1879] lr: 2.0000e-02 eta: 1 day, 13:12:41 time: 0.9019 data_time: 0.0285 memory: 11089 grad_norm: 4.2227 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9851 loss: 1.9851 2022/08/03 00:16:13 - mmengine - INFO - Epoch(train) [72][1720/1879] lr: 2.0000e-02 eta: 1 day, 13:12:22 time: 0.8998 data_time: 0.0244 memory: 11089 grad_norm: 4.1382 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8780 loss: 1.8780 2022/08/03 00:16:32 - mmengine - INFO - Epoch(train) [72][1740/1879] lr: 2.0000e-02 eta: 1 day, 13:12:04 time: 0.9171 data_time: 0.0215 memory: 11089 grad_norm: 4.2033 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8005 loss: 1.8005 2022/08/03 00:16:50 - mmengine - INFO - Epoch(train) [72][1760/1879] lr: 2.0000e-02 eta: 1 day, 13:11:46 time: 0.9094 data_time: 0.0278 memory: 11089 grad_norm: 4.1180 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9291 loss: 1.9291 2022/08/03 00:17:08 - mmengine - INFO - Epoch(train) [72][1780/1879] lr: 2.0000e-02 eta: 1 day, 13:11:28 time: 0.9279 data_time: 0.0299 memory: 11089 grad_norm: 4.1438 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8948 loss: 1.8948 2022/08/03 00:17:27 - mmengine - INFO - Epoch(train) [72][1800/1879] lr: 2.0000e-02 eta: 1 day, 13:11:09 time: 0.9024 data_time: 0.0194 memory: 11089 grad_norm: 4.1432 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8705 loss: 1.8705 2022/08/03 00:17:45 - mmengine - INFO - Epoch(train) [72][1820/1879] lr: 2.0000e-02 eta: 1 day, 13:10:51 time: 0.9110 data_time: 0.0273 memory: 11089 grad_norm: 4.2538 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9009 loss: 1.9009 2022/08/03 00:18:03 - mmengine - INFO - Epoch(train) [72][1840/1879] lr: 2.0000e-02 eta: 1 day, 13:10:33 time: 0.9089 data_time: 0.0242 memory: 11089 grad_norm: 4.2097 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0694 loss: 2.0694 2022/08/03 00:18:21 - mmengine - INFO - Epoch(train) [72][1860/1879] lr: 2.0000e-02 eta: 1 day, 13:10:14 time: 0.8939 data_time: 0.0227 memory: 11089 grad_norm: 4.2176 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0527 loss: 2.0527 2022/08/03 00:18:38 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 00:18:38 - mmengine - INFO - Epoch(train) [72][1879/1879] lr: 2.0000e-02 eta: 1 day, 13:10:14 time: 0.9048 data_time: 0.0297 memory: 11089 grad_norm: 4.3336 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.9182 loss: 1.9182 2022/08/03 00:18:38 - mmengine - INFO - Saving checkpoint at 72 epochs 2022/08/03 00:19:16 - mmengine - INFO - Epoch(train) [73][20/1879] lr: 2.0000e-02 eta: 1 day, 13:09:22 time: 1.0310 data_time: 0.1466 memory: 11089 grad_norm: 4.0535 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8293 loss: 1.8293 2022/08/03 00:19:35 - mmengine - INFO - Epoch(train) [73][40/1879] lr: 2.0000e-02 eta: 1 day, 13:09:04 time: 0.9244 data_time: 0.0348 memory: 11089 grad_norm: 4.1481 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0147 loss: 2.0147 2022/08/03 00:19:53 - mmengine - INFO - Epoch(train) [73][60/1879] lr: 2.0000e-02 eta: 1 day, 13:08:46 time: 0.9152 data_time: 0.0287 memory: 11089 grad_norm: 4.2280 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8193 loss: 1.8193 2022/08/03 00:20:12 - mmengine - INFO - Epoch(train) [73][80/1879] lr: 2.0000e-02 eta: 1 day, 13:08:28 time: 0.9226 data_time: 0.0367 memory: 11089 grad_norm: 4.3534 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7540 loss: 1.7540 2022/08/03 00:20:30 - mmengine - INFO - Epoch(train) [73][100/1879] lr: 2.0000e-02 eta: 1 day, 13:08:10 time: 0.9265 data_time: 0.0310 memory: 11089 grad_norm: 4.2442 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9805 loss: 1.9805 2022/08/03 00:20:49 - mmengine - INFO - Epoch(train) [73][120/1879] lr: 2.0000e-02 eta: 1 day, 13:07:52 time: 0.9271 data_time: 0.0312 memory: 11089 grad_norm: 4.2061 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1495 loss: 2.1495 2022/08/03 00:21:06 - mmengine - INFO - Epoch(train) [73][140/1879] lr: 2.0000e-02 eta: 1 day, 13:07:33 time: 0.8853 data_time: 0.0180 memory: 11089 grad_norm: 4.0946 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9968 loss: 1.9968 2022/08/03 00:21:25 - mmengine - INFO - Epoch(train) [73][160/1879] lr: 2.0000e-02 eta: 1 day, 13:07:15 time: 0.9062 data_time: 0.0224 memory: 11089 grad_norm: 4.1621 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8684 loss: 1.8684 2022/08/03 00:21:43 - mmengine - INFO - Epoch(train) [73][180/1879] lr: 2.0000e-02 eta: 1 day, 13:06:57 time: 0.9200 data_time: 0.0321 memory: 11089 grad_norm: 4.2108 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0565 loss: 2.0565 2022/08/03 00:22:02 - mmengine - INFO - Epoch(train) [73][200/1879] lr: 2.0000e-02 eta: 1 day, 13:06:39 time: 0.9380 data_time: 0.0275 memory: 11089 grad_norm: 4.0422 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9898 loss: 1.9898 2022/08/03 00:22:20 - mmengine - INFO - Epoch(train) [73][220/1879] lr: 2.0000e-02 eta: 1 day, 13:06:21 time: 0.9301 data_time: 0.0325 memory: 11089 grad_norm: 4.2238 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0103 loss: 2.0103 2022/08/03 00:22:39 - mmengine - INFO - Epoch(train) [73][240/1879] lr: 2.0000e-02 eta: 1 day, 13:06:03 time: 0.9163 data_time: 0.0264 memory: 11089 grad_norm: 4.1184 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7261 loss: 1.7261 2022/08/03 00:22:57 - mmengine - INFO - Epoch(train) [73][260/1879] lr: 2.0000e-02 eta: 1 day, 13:05:45 time: 0.9096 data_time: 0.0267 memory: 11089 grad_norm: 4.1347 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7582 loss: 1.7582 2022/08/03 00:23:15 - mmengine - INFO - Epoch(train) [73][280/1879] lr: 2.0000e-02 eta: 1 day, 13:05:26 time: 0.9083 data_time: 0.0260 memory: 11089 grad_norm: 4.2595 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8774 loss: 1.8774 2022/08/03 00:23:33 - mmengine - INFO - Epoch(train) [73][300/1879] lr: 2.0000e-02 eta: 1 day, 13:05:08 time: 0.9117 data_time: 0.0292 memory: 11089 grad_norm: 4.1869 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6800 loss: 1.6800 2022/08/03 00:23:52 - mmengine - INFO - Epoch(train) [73][320/1879] lr: 2.0000e-02 eta: 1 day, 13:04:50 time: 0.9235 data_time: 0.0256 memory: 11089 grad_norm: 4.2310 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8273 loss: 1.8273 2022/08/03 00:24:10 - mmengine - INFO - Epoch(train) [73][340/1879] lr: 2.0000e-02 eta: 1 day, 13:04:31 time: 0.8997 data_time: 0.0289 memory: 11089 grad_norm: 4.1544 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8879 loss: 1.8879 2022/08/03 00:24:28 - mmengine - INFO - Epoch(train) [73][360/1879] lr: 2.0000e-02 eta: 1 day, 13:04:14 time: 0.9300 data_time: 0.0205 memory: 11089 grad_norm: 4.1749 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1039 loss: 2.1039 2022/08/03 00:24:47 - mmengine - INFO - Epoch(train) [73][380/1879] lr: 2.0000e-02 eta: 1 day, 13:03:55 time: 0.9185 data_time: 0.0251 memory: 11089 grad_norm: 4.2645 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8027 loss: 1.8027 2022/08/03 00:25:05 - mmengine - INFO - Epoch(train) [73][400/1879] lr: 2.0000e-02 eta: 1 day, 13:03:37 time: 0.9098 data_time: 0.0251 memory: 11089 grad_norm: 4.0861 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0828 loss: 2.0828 2022/08/03 00:25:23 - mmengine - INFO - Epoch(train) [73][420/1879] lr: 2.0000e-02 eta: 1 day, 13:03:19 time: 0.9149 data_time: 0.0295 memory: 11089 grad_norm: 4.2441 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0313 loss: 2.0313 2022/08/03 00:25:42 - mmengine - INFO - Epoch(train) [73][440/1879] lr: 2.0000e-02 eta: 1 day, 13:03:01 time: 0.9261 data_time: 0.0253 memory: 11089 grad_norm: 4.1699 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7723 loss: 1.7723 2022/08/03 00:26:00 - mmengine - INFO - Epoch(train) [73][460/1879] lr: 2.0000e-02 eta: 1 day, 13:02:43 time: 0.9188 data_time: 0.0285 memory: 11089 grad_norm: 4.2375 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8228 loss: 1.8228 2022/08/03 00:26:18 - mmengine - INFO - Epoch(train) [73][480/1879] lr: 2.0000e-02 eta: 1 day, 13:02:25 time: 0.9212 data_time: 0.0263 memory: 11089 grad_norm: 4.0715 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8446 loss: 1.8446 2022/08/03 00:26:37 - mmengine - INFO - Epoch(train) [73][500/1879] lr: 2.0000e-02 eta: 1 day, 13:02:07 time: 0.9207 data_time: 0.0222 memory: 11089 grad_norm: 4.2374 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9864 loss: 1.9864 2022/08/03 00:26:55 - mmengine - INFO - Epoch(train) [73][520/1879] lr: 2.0000e-02 eta: 1 day, 13:01:48 time: 0.9111 data_time: 0.0207 memory: 11089 grad_norm: 4.2643 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8049 loss: 1.8049 2022/08/03 00:27:14 - mmengine - INFO - Epoch(train) [73][540/1879] lr: 2.0000e-02 eta: 1 day, 13:01:30 time: 0.9211 data_time: 0.0399 memory: 11089 grad_norm: 4.2086 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6852 loss: 1.6852 2022/08/03 00:27:32 - mmengine - INFO - Epoch(train) [73][560/1879] lr: 2.0000e-02 eta: 1 day, 13:01:12 time: 0.9233 data_time: 0.0242 memory: 11089 grad_norm: 4.2756 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0082 loss: 2.0082 2022/08/03 00:27:50 - mmengine - INFO - Epoch(train) [73][580/1879] lr: 2.0000e-02 eta: 1 day, 13:00:54 time: 0.9040 data_time: 0.0263 memory: 11089 grad_norm: 4.3154 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9150 loss: 1.9150 2022/08/03 00:28:08 - mmengine - INFO - Epoch(train) [73][600/1879] lr: 2.0000e-02 eta: 1 day, 13:00:35 time: 0.9041 data_time: 0.0319 memory: 11089 grad_norm: 4.2796 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9206 loss: 1.9206 2022/08/03 00:28:27 - mmengine - INFO - Epoch(train) [73][620/1879] lr: 2.0000e-02 eta: 1 day, 13:00:18 time: 0.9413 data_time: 0.0361 memory: 11089 grad_norm: 4.2293 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0229 loss: 2.0229 2022/08/03 00:28:46 - mmengine - INFO - Epoch(train) [73][640/1879] lr: 2.0000e-02 eta: 1 day, 13:00:00 time: 0.9219 data_time: 0.0303 memory: 11089 grad_norm: 4.2978 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8052 loss: 1.8052 2022/08/03 00:29:04 - mmengine - INFO - Epoch(train) [73][660/1879] lr: 2.0000e-02 eta: 1 day, 12:59:42 time: 0.9382 data_time: 0.0323 memory: 11089 grad_norm: 4.2470 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9930 loss: 1.9930 2022/08/03 00:29:22 - mmengine - INFO - Epoch(train) [73][680/1879] lr: 2.0000e-02 eta: 1 day, 12:59:23 time: 0.9022 data_time: 0.0295 memory: 11089 grad_norm: 4.2210 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8955 loss: 1.8955 2022/08/03 00:29:41 - mmengine - INFO - Epoch(train) [73][700/1879] lr: 2.0000e-02 eta: 1 day, 12:59:05 time: 0.9123 data_time: 0.0268 memory: 11089 grad_norm: 4.2425 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8142 loss: 1.8142 2022/08/03 00:29:52 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 00:29:59 - mmengine - INFO - Epoch(train) [73][720/1879] lr: 2.0000e-02 eta: 1 day, 12:58:47 time: 0.9310 data_time: 0.0353 memory: 11089 grad_norm: 4.2315 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9824 loss: 1.9824 2022/08/03 00:30:17 - mmengine - INFO - Epoch(train) [73][740/1879] lr: 2.0000e-02 eta: 1 day, 12:58:29 time: 0.9146 data_time: 0.0283 memory: 11089 grad_norm: 4.1956 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.1607 loss: 2.1607 2022/08/03 00:30:35 - mmengine - INFO - Epoch(train) [73][760/1879] lr: 2.0000e-02 eta: 1 day, 12:58:11 time: 0.9032 data_time: 0.0240 memory: 11089 grad_norm: 4.1599 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8779 loss: 1.8779 2022/08/03 00:30:54 - mmengine - INFO - Epoch(train) [73][780/1879] lr: 2.0000e-02 eta: 1 day, 12:57:52 time: 0.9072 data_time: 0.0287 memory: 11089 grad_norm: 4.1669 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0541 loss: 2.0541 2022/08/03 00:31:12 - mmengine - INFO - Epoch(train) [73][800/1879] lr: 2.0000e-02 eta: 1 day, 12:57:34 time: 0.9162 data_time: 0.0277 memory: 11089 grad_norm: 4.2449 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9458 loss: 1.9458 2022/08/03 00:31:31 - mmengine - INFO - Epoch(train) [73][820/1879] lr: 2.0000e-02 eta: 1 day, 12:57:16 time: 0.9406 data_time: 0.0374 memory: 11089 grad_norm: 4.2821 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8816 loss: 1.8816 2022/08/03 00:31:49 - mmengine - INFO - Epoch(train) [73][840/1879] lr: 2.0000e-02 eta: 1 day, 12:56:58 time: 0.9090 data_time: 0.0276 memory: 11089 grad_norm: 4.3291 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0120 loss: 2.0120 2022/08/03 00:32:08 - mmengine - INFO - Epoch(train) [73][860/1879] lr: 2.0000e-02 eta: 1 day, 12:56:40 time: 0.9340 data_time: 0.0347 memory: 11089 grad_norm: 4.1796 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0687 loss: 2.0687 2022/08/03 00:32:26 - mmengine - INFO - Epoch(train) [73][880/1879] lr: 2.0000e-02 eta: 1 day, 12:56:22 time: 0.9180 data_time: 0.0306 memory: 11089 grad_norm: 4.1317 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8937 loss: 1.8937 2022/08/03 00:32:44 - mmengine - INFO - Epoch(train) [73][900/1879] lr: 2.0000e-02 eta: 1 day, 12:56:04 time: 0.9213 data_time: 0.0346 memory: 11089 grad_norm: 4.2577 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9328 loss: 1.9328 2022/08/03 00:33:03 - mmengine - INFO - Epoch(train) [73][920/1879] lr: 2.0000e-02 eta: 1 day, 12:55:46 time: 0.9218 data_time: 0.0257 memory: 11089 grad_norm: 4.0437 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8356 loss: 1.8356 2022/08/03 00:33:21 - mmengine - INFO - Epoch(train) [73][940/1879] lr: 2.0000e-02 eta: 1 day, 12:55:28 time: 0.9164 data_time: 0.0284 memory: 11089 grad_norm: 4.1385 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0078 loss: 2.0078 2022/08/03 00:33:40 - mmengine - INFO - Epoch(train) [73][960/1879] lr: 2.0000e-02 eta: 1 day, 12:55:09 time: 0.9108 data_time: 0.0264 memory: 11089 grad_norm: 4.0883 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9680 loss: 1.9680 2022/08/03 00:33:58 - mmengine - INFO - Epoch(train) [73][980/1879] lr: 2.0000e-02 eta: 1 day, 12:54:52 time: 0.9334 data_time: 0.0361 memory: 11089 grad_norm: 4.3068 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0334 loss: 2.0334 2022/08/03 00:34:16 - mmengine - INFO - Epoch(train) [73][1000/1879] lr: 2.0000e-02 eta: 1 day, 12:54:33 time: 0.9034 data_time: 0.0277 memory: 11089 grad_norm: 4.3269 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9762 loss: 1.9762 2022/08/03 00:34:34 - mmengine - INFO - Epoch(train) [73][1020/1879] lr: 2.0000e-02 eta: 1 day, 12:54:15 time: 0.8985 data_time: 0.0250 memory: 11089 grad_norm: 4.1847 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9505 loss: 1.9505 2022/08/03 00:34:52 - mmengine - INFO - Epoch(train) [73][1040/1879] lr: 2.0000e-02 eta: 1 day, 12:53:56 time: 0.9139 data_time: 0.0284 memory: 11089 grad_norm: 4.1349 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7512 loss: 1.7512 2022/08/03 00:35:11 - mmengine - INFO - Epoch(train) [73][1060/1879] lr: 2.0000e-02 eta: 1 day, 12:53:38 time: 0.9140 data_time: 0.0327 memory: 11089 grad_norm: 4.3035 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9327 loss: 1.9327 2022/08/03 00:35:29 - mmengine - INFO - Epoch(train) [73][1080/1879] lr: 2.0000e-02 eta: 1 day, 12:53:20 time: 0.9104 data_time: 0.0242 memory: 11089 grad_norm: 4.2694 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0622 loss: 2.0622 2022/08/03 00:35:47 - mmengine - INFO - Epoch(train) [73][1100/1879] lr: 2.0000e-02 eta: 1 day, 12:53:02 time: 0.9180 data_time: 0.0255 memory: 11089 grad_norm: 4.1737 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5456 loss: 1.5456 2022/08/03 00:36:05 - mmengine - INFO - Epoch(train) [73][1120/1879] lr: 2.0000e-02 eta: 1 day, 12:52:43 time: 0.8996 data_time: 0.0275 memory: 11089 grad_norm: 4.0705 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8944 loss: 1.8944 2022/08/03 00:36:24 - mmengine - INFO - Epoch(train) [73][1140/1879] lr: 2.0000e-02 eta: 1 day, 12:52:25 time: 0.9339 data_time: 0.0284 memory: 11089 grad_norm: 4.1174 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8583 loss: 1.8583 2022/08/03 00:36:43 - mmengine - INFO - Epoch(train) [73][1160/1879] lr: 2.0000e-02 eta: 1 day, 12:52:08 time: 0.9436 data_time: 0.0424 memory: 11089 grad_norm: 4.1661 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.0076 loss: 2.0076 2022/08/03 00:37:01 - mmengine - INFO - Epoch(train) [73][1180/1879] lr: 2.0000e-02 eta: 1 day, 12:51:50 time: 0.9192 data_time: 0.0359 memory: 11089 grad_norm: 4.1805 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9758 loss: 1.9758 2022/08/03 00:37:20 - mmengine - INFO - Epoch(train) [73][1200/1879] lr: 2.0000e-02 eta: 1 day, 12:51:32 time: 0.9308 data_time: 0.0322 memory: 11089 grad_norm: 4.0717 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6779 loss: 1.6779 2022/08/03 00:37:38 - mmengine - INFO - Epoch(train) [73][1220/1879] lr: 2.0000e-02 eta: 1 day, 12:51:14 time: 0.9229 data_time: 0.0333 memory: 11089 grad_norm: 3.9657 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8576 loss: 1.8576 2022/08/03 00:37:57 - mmengine - INFO - Epoch(train) [73][1240/1879] lr: 2.0000e-02 eta: 1 day, 12:50:56 time: 0.9267 data_time: 0.0262 memory: 11089 grad_norm: 4.1349 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2641 loss: 2.2641 2022/08/03 00:38:15 - mmengine - INFO - Epoch(train) [73][1260/1879] lr: 2.0000e-02 eta: 1 day, 12:50:37 time: 0.8973 data_time: 0.0213 memory: 11089 grad_norm: 4.1215 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9845 loss: 1.9845 2022/08/03 00:38:33 - mmengine - INFO - Epoch(train) [73][1280/1879] lr: 2.0000e-02 eta: 1 day, 12:50:19 time: 0.9117 data_time: 0.0246 memory: 11089 grad_norm: 4.1969 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9058 loss: 1.9058 2022/08/03 00:38:52 - mmengine - INFO - Epoch(train) [73][1300/1879] lr: 2.0000e-02 eta: 1 day, 12:50:01 time: 0.9301 data_time: 0.0257 memory: 11089 grad_norm: 4.1390 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9140 loss: 1.9140 2022/08/03 00:39:10 - mmengine - INFO - Epoch(train) [73][1320/1879] lr: 2.0000e-02 eta: 1 day, 12:49:43 time: 0.9223 data_time: 0.0313 memory: 11089 grad_norm: 4.2802 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9431 loss: 1.9431 2022/08/03 00:39:29 - mmengine - INFO - Epoch(train) [73][1340/1879] lr: 2.0000e-02 eta: 1 day, 12:49:25 time: 0.9403 data_time: 0.0343 memory: 11089 grad_norm: 4.2215 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9952 loss: 1.9952 2022/08/03 00:39:47 - mmengine - INFO - Epoch(train) [73][1360/1879] lr: 2.0000e-02 eta: 1 day, 12:49:07 time: 0.9224 data_time: 0.0309 memory: 11089 grad_norm: 4.1079 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7061 loss: 1.7061 2022/08/03 00:40:06 - mmengine - INFO - Epoch(train) [73][1380/1879] lr: 2.0000e-02 eta: 1 day, 12:48:49 time: 0.9182 data_time: 0.0304 memory: 11089 grad_norm: 4.2053 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0543 loss: 2.0543 2022/08/03 00:40:25 - mmengine - INFO - Epoch(train) [73][1400/1879] lr: 2.0000e-02 eta: 1 day, 12:48:31 time: 0.9353 data_time: 0.0262 memory: 11089 grad_norm: 4.1739 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1356 loss: 2.1356 2022/08/03 00:40:43 - mmengine - INFO - Epoch(train) [73][1420/1879] lr: 2.0000e-02 eta: 1 day, 12:48:13 time: 0.9274 data_time: 0.0327 memory: 11089 grad_norm: 4.0911 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7480 loss: 1.7480 2022/08/03 00:41:01 - mmengine - INFO - Epoch(train) [73][1440/1879] lr: 2.0000e-02 eta: 1 day, 12:47:55 time: 0.9079 data_time: 0.0233 memory: 11089 grad_norm: 4.2669 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0761 loss: 2.0761 2022/08/03 00:41:20 - mmengine - INFO - Epoch(train) [73][1460/1879] lr: 2.0000e-02 eta: 1 day, 12:47:37 time: 0.9287 data_time: 0.0250 memory: 11089 grad_norm: 4.1868 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1171 loss: 2.1171 2022/08/03 00:41:38 - mmengine - INFO - Epoch(train) [73][1480/1879] lr: 2.0000e-02 eta: 1 day, 12:47:18 time: 0.8990 data_time: 0.0259 memory: 11089 grad_norm: 4.2409 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0629 loss: 2.0629 2022/08/03 00:41:56 - mmengine - INFO - Epoch(train) [73][1500/1879] lr: 2.0000e-02 eta: 1 day, 12:47:00 time: 0.9206 data_time: 0.0270 memory: 11089 grad_norm: 4.1003 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0550 loss: 2.0550 2022/08/03 00:42:14 - mmengine - INFO - Epoch(train) [73][1520/1879] lr: 2.0000e-02 eta: 1 day, 12:46:42 time: 0.9090 data_time: 0.0269 memory: 11089 grad_norm: 4.1560 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0040 loss: 2.0040 2022/08/03 00:42:33 - mmengine - INFO - Epoch(train) [73][1540/1879] lr: 2.0000e-02 eta: 1 day, 12:46:24 time: 0.9113 data_time: 0.0277 memory: 11089 grad_norm: 4.1014 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9610 loss: 1.9610 2022/08/03 00:42:51 - mmengine - INFO - Epoch(train) [73][1560/1879] lr: 2.0000e-02 eta: 1 day, 12:46:05 time: 0.9037 data_time: 0.0259 memory: 11089 grad_norm: 4.1717 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9612 loss: 1.9612 2022/08/03 00:43:09 - mmengine - INFO - Epoch(train) [73][1580/1879] lr: 2.0000e-02 eta: 1 day, 12:45:47 time: 0.9099 data_time: 0.0244 memory: 11089 grad_norm: 4.0903 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0004 loss: 2.0004 2022/08/03 00:43:27 - mmengine - INFO - Epoch(train) [73][1600/1879] lr: 2.0000e-02 eta: 1 day, 12:45:29 time: 0.9127 data_time: 0.0294 memory: 11089 grad_norm: 4.1284 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0672 loss: 2.0672 2022/08/03 00:43:45 - mmengine - INFO - Epoch(train) [73][1620/1879] lr: 2.0000e-02 eta: 1 day, 12:45:10 time: 0.9066 data_time: 0.0225 memory: 11089 grad_norm: 4.2428 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0334 loss: 2.0334 2022/08/03 00:44:04 - mmengine - INFO - Epoch(train) [73][1640/1879] lr: 2.0000e-02 eta: 1 day, 12:44:53 time: 0.9448 data_time: 0.0294 memory: 11089 grad_norm: 4.2408 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8496 loss: 1.8496 2022/08/03 00:44:22 - mmengine - INFO - Epoch(train) [73][1660/1879] lr: 2.0000e-02 eta: 1 day, 12:44:35 time: 0.9129 data_time: 0.0298 memory: 11089 grad_norm: 4.1275 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8824 loss: 1.8824 2022/08/03 00:44:40 - mmengine - INFO - Epoch(train) [73][1680/1879] lr: 2.0000e-02 eta: 1 day, 12:44:16 time: 0.9047 data_time: 0.0239 memory: 11089 grad_norm: 4.2295 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.1474 loss: 2.1474 2022/08/03 00:44:59 - mmengine - INFO - Epoch(train) [73][1700/1879] lr: 2.0000e-02 eta: 1 day, 12:43:58 time: 0.9134 data_time: 0.0279 memory: 11089 grad_norm: 4.1677 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8367 loss: 1.8367 2022/08/03 00:45:10 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 00:45:17 - mmengine - INFO - Epoch(train) [73][1720/1879] lr: 2.0000e-02 eta: 1 day, 12:43:39 time: 0.9086 data_time: 0.0246 memory: 11089 grad_norm: 4.2006 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9715 loss: 1.9715 2022/08/03 00:45:35 - mmengine - INFO - Epoch(train) [73][1740/1879] lr: 2.0000e-02 eta: 1 day, 12:43:21 time: 0.9074 data_time: 0.0254 memory: 11089 grad_norm: 4.2989 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9340 loss: 1.9340 2022/08/03 00:45:54 - mmengine - INFO - Epoch(train) [73][1760/1879] lr: 2.0000e-02 eta: 1 day, 12:43:03 time: 0.9190 data_time: 0.0268 memory: 11089 grad_norm: 4.2111 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9640 loss: 1.9640 2022/08/03 00:46:12 - mmengine - INFO - Epoch(train) [73][1780/1879] lr: 2.0000e-02 eta: 1 day, 12:42:45 time: 0.9362 data_time: 0.0311 memory: 11089 grad_norm: 4.1702 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8701 loss: 1.8701 2022/08/03 00:46:30 - mmengine - INFO - Epoch(train) [73][1800/1879] lr: 2.0000e-02 eta: 1 day, 12:42:27 time: 0.9151 data_time: 0.0370 memory: 11089 grad_norm: 4.1765 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0632 loss: 2.0632 2022/08/03 00:46:49 - mmengine - INFO - Epoch(train) [73][1820/1879] lr: 2.0000e-02 eta: 1 day, 12:42:09 time: 0.9192 data_time: 0.0276 memory: 11089 grad_norm: 4.2872 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0907 loss: 2.0907 2022/08/03 00:47:07 - mmengine - INFO - Epoch(train) [73][1840/1879] lr: 2.0000e-02 eta: 1 day, 12:41:51 time: 0.9148 data_time: 0.0198 memory: 11089 grad_norm: 4.2081 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7841 loss: 1.7841 2022/08/03 00:47:26 - mmengine - INFO - Epoch(train) [73][1860/1879] lr: 2.0000e-02 eta: 1 day, 12:41:33 time: 0.9363 data_time: 0.0304 memory: 11089 grad_norm: 4.1307 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7378 loss: 1.7378 2022/08/03 00:47:44 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 00:47:44 - mmengine - INFO - Epoch(train) [73][1879/1879] lr: 2.0000e-02 eta: 1 day, 12:41:33 time: 0.9254 data_time: 0.0391 memory: 11089 grad_norm: 4.3434 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.0722 loss: 2.0722 2022/08/03 00:48:04 - mmengine - INFO - Epoch(train) [74][20/1879] lr: 2.0000e-02 eta: 1 day, 12:40:41 time: 1.0034 data_time: 0.1136 memory: 11089 grad_norm: 4.1752 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9143 loss: 1.9143 2022/08/03 00:48:22 - mmengine - INFO - Epoch(train) [74][40/1879] lr: 2.0000e-02 eta: 1 day, 12:40:23 time: 0.9297 data_time: 0.0238 memory: 11089 grad_norm: 4.1928 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8278 loss: 1.8278 2022/08/03 00:48:41 - mmengine - INFO - Epoch(train) [74][60/1879] lr: 2.0000e-02 eta: 1 day, 12:40:05 time: 0.9324 data_time: 0.0341 memory: 11089 grad_norm: 4.2073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0186 loss: 2.0186 2022/08/03 00:49:00 - mmengine - INFO - Epoch(train) [74][80/1879] lr: 2.0000e-02 eta: 1 day, 12:39:47 time: 0.9385 data_time: 0.0365 memory: 11089 grad_norm: 4.1822 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7213 loss: 1.7213 2022/08/03 00:49:18 - mmengine - INFO - Epoch(train) [74][100/1879] lr: 2.0000e-02 eta: 1 day, 12:39:29 time: 0.9193 data_time: 0.0282 memory: 11089 grad_norm: 4.0789 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8400 loss: 1.8400 2022/08/03 00:49:37 - mmengine - INFO - Epoch(train) [74][120/1879] lr: 2.0000e-02 eta: 1 day, 12:39:11 time: 0.9205 data_time: 0.0235 memory: 11089 grad_norm: 4.0747 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8797 loss: 1.8797 2022/08/03 00:49:55 - mmengine - INFO - Epoch(train) [74][140/1879] lr: 2.0000e-02 eta: 1 day, 12:38:53 time: 0.9272 data_time: 0.0245 memory: 11089 grad_norm: 4.0899 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8325 loss: 1.8325 2022/08/03 00:50:13 - mmengine - INFO - Epoch(train) [74][160/1879] lr: 2.0000e-02 eta: 1 day, 12:38:35 time: 0.9212 data_time: 0.0241 memory: 11089 grad_norm: 4.2229 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9720 loss: 1.9720 2022/08/03 00:50:32 - mmengine - INFO - Epoch(train) [74][180/1879] lr: 2.0000e-02 eta: 1 day, 12:38:17 time: 0.9045 data_time: 0.0230 memory: 11089 grad_norm: 4.2813 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9347 loss: 1.9347 2022/08/03 00:50:50 - mmengine - INFO - Epoch(train) [74][200/1879] lr: 2.0000e-02 eta: 1 day, 12:37:58 time: 0.9047 data_time: 0.0318 memory: 11089 grad_norm: 4.0996 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0104 loss: 2.0104 2022/08/03 00:51:08 - mmengine - INFO - Epoch(train) [74][220/1879] lr: 2.0000e-02 eta: 1 day, 12:37:40 time: 0.9267 data_time: 0.0266 memory: 11089 grad_norm: 4.2266 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0684 loss: 2.0684 2022/08/03 00:51:27 - mmengine - INFO - Epoch(train) [74][240/1879] lr: 2.0000e-02 eta: 1 day, 12:37:22 time: 0.9264 data_time: 0.0277 memory: 11089 grad_norm: 4.2461 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7437 loss: 1.7437 2022/08/03 00:51:45 - mmengine - INFO - Epoch(train) [74][260/1879] lr: 2.0000e-02 eta: 1 day, 12:37:04 time: 0.9099 data_time: 0.0248 memory: 11089 grad_norm: 4.2539 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9228 loss: 1.9228 2022/08/03 00:52:04 - mmengine - INFO - Epoch(train) [74][280/1879] lr: 2.0000e-02 eta: 1 day, 12:36:47 time: 0.9529 data_time: 0.0403 memory: 11089 grad_norm: 4.2190 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9930 loss: 1.9930 2022/08/03 00:52:22 - mmengine - INFO - Epoch(train) [74][300/1879] lr: 2.0000e-02 eta: 1 day, 12:36:29 time: 0.9175 data_time: 0.0236 memory: 11089 grad_norm: 4.1972 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8658 loss: 1.8658 2022/08/03 00:52:41 - mmengine - INFO - Epoch(train) [74][320/1879] lr: 2.0000e-02 eta: 1 day, 12:36:11 time: 0.9233 data_time: 0.0282 memory: 11089 grad_norm: 4.1186 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6821 loss: 1.6821 2022/08/03 00:52:59 - mmengine - INFO - Epoch(train) [74][340/1879] lr: 2.0000e-02 eta: 1 day, 12:35:52 time: 0.9142 data_time: 0.0211 memory: 11089 grad_norm: 3.9884 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8205 loss: 1.8205 2022/08/03 00:53:18 - mmengine - INFO - Epoch(train) [74][360/1879] lr: 2.0000e-02 eta: 1 day, 12:35:34 time: 0.9252 data_time: 0.0257 memory: 11089 grad_norm: 4.1984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9091 loss: 1.9091 2022/08/03 00:53:36 - mmengine - INFO - Epoch(train) [74][380/1879] lr: 2.0000e-02 eta: 1 day, 12:35:16 time: 0.9071 data_time: 0.0293 memory: 11089 grad_norm: 4.2367 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7908 loss: 1.7908 2022/08/03 00:53:54 - mmengine - INFO - Epoch(train) [74][400/1879] lr: 2.0000e-02 eta: 1 day, 12:34:58 time: 0.9113 data_time: 0.0271 memory: 11089 grad_norm: 4.2576 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9314 loss: 1.9314 2022/08/03 00:54:13 - mmengine - INFO - Epoch(train) [74][420/1879] lr: 2.0000e-02 eta: 1 day, 12:34:40 time: 0.9246 data_time: 0.0353 memory: 11089 grad_norm: 4.1101 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9082 loss: 1.9082 2022/08/03 00:54:31 - mmengine - INFO - Epoch(train) [74][440/1879] lr: 2.0000e-02 eta: 1 day, 12:34:22 time: 0.9307 data_time: 0.0337 memory: 11089 grad_norm: 4.2029 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7891 loss: 1.7891 2022/08/03 00:54:50 - mmengine - INFO - Epoch(train) [74][460/1879] lr: 2.0000e-02 eta: 1 day, 12:34:04 time: 0.9208 data_time: 0.0299 memory: 11089 grad_norm: 4.1390 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7895 loss: 1.7895 2022/08/03 00:55:08 - mmengine - INFO - Epoch(train) [74][480/1879] lr: 2.0000e-02 eta: 1 day, 12:33:45 time: 0.9153 data_time: 0.0274 memory: 11089 grad_norm: 4.1175 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8193 loss: 1.8193 2022/08/03 00:55:26 - mmengine - INFO - Epoch(train) [74][500/1879] lr: 2.0000e-02 eta: 1 day, 12:33:27 time: 0.9203 data_time: 0.0272 memory: 11089 grad_norm: 4.0749 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8591 loss: 1.8591 2022/08/03 00:55:44 - mmengine - INFO - Epoch(train) [74][520/1879] lr: 2.0000e-02 eta: 1 day, 12:33:09 time: 0.9079 data_time: 0.0300 memory: 11089 grad_norm: 4.1730 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.9587 loss: 1.9587 2022/08/03 00:56:03 - mmengine - INFO - Epoch(train) [74][540/1879] lr: 2.0000e-02 eta: 1 day, 12:32:51 time: 0.9234 data_time: 0.0283 memory: 11089 grad_norm: 4.1849 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7185 loss: 1.7185 2022/08/03 00:56:22 - mmengine - INFO - Epoch(train) [74][560/1879] lr: 2.0000e-02 eta: 1 day, 12:32:33 time: 0.9382 data_time: 0.0283 memory: 11089 grad_norm: 4.1479 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9083 loss: 1.9083 2022/08/03 00:56:40 - mmengine - INFO - Epoch(train) [74][580/1879] lr: 2.0000e-02 eta: 1 day, 12:32:15 time: 0.9018 data_time: 0.0238 memory: 11089 grad_norm: 4.2324 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7762 loss: 1.7762 2022/08/03 00:56:58 - mmengine - INFO - Epoch(train) [74][600/1879] lr: 2.0000e-02 eta: 1 day, 12:31:57 time: 0.9131 data_time: 0.0252 memory: 11089 grad_norm: 4.1581 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1480 loss: 2.1480 2022/08/03 00:57:16 - mmengine - INFO - Epoch(train) [74][620/1879] lr: 2.0000e-02 eta: 1 day, 12:31:38 time: 0.9061 data_time: 0.0247 memory: 11089 grad_norm: 4.1894 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0005 loss: 2.0005 2022/08/03 00:57:34 - mmengine - INFO - Epoch(train) [74][640/1879] lr: 2.0000e-02 eta: 1 day, 12:31:20 time: 0.9174 data_time: 0.0253 memory: 11089 grad_norm: 4.2111 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1848 loss: 2.1848 2022/08/03 00:57:53 - mmengine - INFO - Epoch(train) [74][660/1879] lr: 2.0000e-02 eta: 1 day, 12:31:02 time: 0.9308 data_time: 0.0380 memory: 11089 grad_norm: 4.3102 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8910 loss: 1.8910 2022/08/03 00:58:11 - mmengine - INFO - Epoch(train) [74][680/1879] lr: 2.0000e-02 eta: 1 day, 12:30:44 time: 0.9126 data_time: 0.0267 memory: 11089 grad_norm: 4.1759 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9783 loss: 1.9783 2022/08/03 00:58:29 - mmengine - INFO - Epoch(train) [74][700/1879] lr: 2.0000e-02 eta: 1 day, 12:30:25 time: 0.9054 data_time: 0.0239 memory: 11089 grad_norm: 4.1912 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9928 loss: 1.9928 2022/08/03 00:58:48 - mmengine - INFO - Epoch(train) [74][720/1879] lr: 2.0000e-02 eta: 1 day, 12:30:07 time: 0.9204 data_time: 0.0228 memory: 11089 grad_norm: 4.2406 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8698 loss: 1.8698 2022/08/03 00:59:06 - mmengine - INFO - Epoch(train) [74][740/1879] lr: 2.0000e-02 eta: 1 day, 12:29:49 time: 0.8977 data_time: 0.0263 memory: 11089 grad_norm: 4.2037 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8130 loss: 1.8130 2022/08/03 00:59:24 - mmengine - INFO - Epoch(train) [74][760/1879] lr: 2.0000e-02 eta: 1 day, 12:29:30 time: 0.9064 data_time: 0.0257 memory: 11089 grad_norm: 4.2301 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9725 loss: 1.9725 2022/08/03 00:59:43 - mmengine - INFO - Epoch(train) [74][780/1879] lr: 2.0000e-02 eta: 1 day, 12:29:13 time: 0.9421 data_time: 0.0341 memory: 11089 grad_norm: 4.1982 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8776 loss: 1.8776 2022/08/03 01:00:02 - mmengine - INFO - Epoch(train) [74][800/1879] lr: 2.0000e-02 eta: 1 day, 12:28:55 time: 0.9387 data_time: 0.0328 memory: 11089 grad_norm: 4.2241 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9370 loss: 1.9370 2022/08/03 01:00:20 - mmengine - INFO - Epoch(train) [74][820/1879] lr: 2.0000e-02 eta: 1 day, 12:28:37 time: 0.9402 data_time: 0.0335 memory: 11089 grad_norm: 4.1887 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0287 loss: 2.0287 2022/08/03 01:00:32 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 01:00:39 - mmengine - INFO - Epoch(train) [74][840/1879] lr: 2.0000e-02 eta: 1 day, 12:28:20 time: 0.9467 data_time: 0.0334 memory: 11089 grad_norm: 4.0943 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0394 loss: 2.0394 2022/08/03 01:00:58 - mmengine - INFO - Epoch(train) [74][860/1879] lr: 2.0000e-02 eta: 1 day, 12:28:02 time: 0.9162 data_time: 0.0271 memory: 11089 grad_norm: 4.1688 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.8997 loss: 1.8997 2022/08/03 01:01:16 - mmengine - INFO - Epoch(train) [74][880/1879] lr: 2.0000e-02 eta: 1 day, 12:27:43 time: 0.9080 data_time: 0.0266 memory: 11089 grad_norm: 4.3514 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1792 loss: 2.1792 2022/08/03 01:01:34 - mmengine - INFO - Epoch(train) [74][900/1879] lr: 2.0000e-02 eta: 1 day, 12:27:25 time: 0.9091 data_time: 0.0264 memory: 11089 grad_norm: 4.3242 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1284 loss: 2.1284 2022/08/03 01:01:52 - mmengine - INFO - Epoch(train) [74][920/1879] lr: 2.0000e-02 eta: 1 day, 12:27:07 time: 0.9095 data_time: 0.0240 memory: 11089 grad_norm: 4.2015 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7783 loss: 1.7783 2022/08/03 01:02:11 - mmengine - INFO - Epoch(train) [74][940/1879] lr: 2.0000e-02 eta: 1 day, 12:26:49 time: 0.9296 data_time: 0.0280 memory: 11089 grad_norm: 4.2000 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8922 loss: 1.8922 2022/08/03 01:02:29 - mmengine - INFO - Epoch(train) [74][960/1879] lr: 2.0000e-02 eta: 1 day, 12:26:31 time: 0.9350 data_time: 0.0293 memory: 11089 grad_norm: 4.1495 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9490 loss: 1.9490 2022/08/03 01:02:48 - mmengine - INFO - Epoch(train) [74][980/1879] lr: 2.0000e-02 eta: 1 day, 12:26:13 time: 0.9214 data_time: 0.0241 memory: 11089 grad_norm: 4.2588 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8609 loss: 1.8609 2022/08/03 01:03:06 - mmengine - INFO - Epoch(train) [74][1000/1879] lr: 2.0000e-02 eta: 1 day, 12:25:55 time: 0.9229 data_time: 0.0305 memory: 11089 grad_norm: 4.1014 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9249 loss: 1.9249 2022/08/03 01:03:25 - mmengine - INFO - Epoch(train) [74][1020/1879] lr: 2.0000e-02 eta: 1 day, 12:25:37 time: 0.9188 data_time: 0.0304 memory: 11089 grad_norm: 4.1838 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7442 loss: 1.7442 2022/08/03 01:03:43 - mmengine - INFO - Epoch(train) [74][1040/1879] lr: 2.0000e-02 eta: 1 day, 12:25:19 time: 0.9234 data_time: 0.0312 memory: 11089 grad_norm: 4.3423 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9627 loss: 1.9627 2022/08/03 01:04:02 - mmengine - INFO - Epoch(train) [74][1060/1879] lr: 2.0000e-02 eta: 1 day, 12:25:01 time: 0.9238 data_time: 0.0288 memory: 11089 grad_norm: 4.1262 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8483 loss: 1.8483 2022/08/03 01:04:20 - mmengine - INFO - Epoch(train) [74][1080/1879] lr: 2.0000e-02 eta: 1 day, 12:24:43 time: 0.9315 data_time: 0.0247 memory: 11089 grad_norm: 4.2742 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0870 loss: 2.0870 2022/08/03 01:04:38 - mmengine - INFO - Epoch(train) [74][1100/1879] lr: 2.0000e-02 eta: 1 day, 12:24:24 time: 0.8939 data_time: 0.0275 memory: 11089 grad_norm: 4.2164 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9572 loss: 1.9572 2022/08/03 01:04:57 - mmengine - INFO - Epoch(train) [74][1120/1879] lr: 2.0000e-02 eta: 1 day, 12:24:06 time: 0.9189 data_time: 0.0188 memory: 11089 grad_norm: 4.1637 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8651 loss: 1.8651 2022/08/03 01:05:15 - mmengine - INFO - Epoch(train) [74][1140/1879] lr: 2.0000e-02 eta: 1 day, 12:23:48 time: 0.9062 data_time: 0.0255 memory: 11089 grad_norm: 4.1709 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9556 loss: 1.9556 2022/08/03 01:05:33 - mmengine - INFO - Epoch(train) [74][1160/1879] lr: 2.0000e-02 eta: 1 day, 12:23:30 time: 0.9279 data_time: 0.0241 memory: 11089 grad_norm: 4.1602 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9612 loss: 1.9612 2022/08/03 01:05:52 - mmengine - INFO - Epoch(train) [74][1180/1879] lr: 2.0000e-02 eta: 1 day, 12:23:12 time: 0.9387 data_time: 0.0311 memory: 11089 grad_norm: 4.2163 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2359 loss: 2.2359 2022/08/03 01:06:10 - mmengine - INFO - Epoch(train) [74][1200/1879] lr: 2.0000e-02 eta: 1 day, 12:22:54 time: 0.9096 data_time: 0.0293 memory: 11089 grad_norm: 4.2382 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8158 loss: 1.8158 2022/08/03 01:06:28 - mmengine - INFO - Epoch(train) [74][1220/1879] lr: 2.0000e-02 eta: 1 day, 12:22:35 time: 0.9107 data_time: 0.0321 memory: 11089 grad_norm: 4.2884 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9213 loss: 1.9213 2022/08/03 01:06:47 - mmengine - INFO - Epoch(train) [74][1240/1879] lr: 2.0000e-02 eta: 1 day, 12:22:17 time: 0.9011 data_time: 0.0248 memory: 11089 grad_norm: 4.2658 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8689 loss: 1.8689 2022/08/03 01:07:05 - mmengine - INFO - Epoch(train) [74][1260/1879] lr: 2.0000e-02 eta: 1 day, 12:21:59 time: 0.9253 data_time: 0.0316 memory: 11089 grad_norm: 4.2477 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0474 loss: 2.0474 2022/08/03 01:07:23 - mmengine - INFO - Epoch(train) [74][1280/1879] lr: 2.0000e-02 eta: 1 day, 12:21:40 time: 0.9026 data_time: 0.0229 memory: 11089 grad_norm: 4.2426 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8824 loss: 1.8824 2022/08/03 01:07:41 - mmengine - INFO - Epoch(train) [74][1300/1879] lr: 2.0000e-02 eta: 1 day, 12:21:22 time: 0.9156 data_time: 0.0267 memory: 11089 grad_norm: 4.3241 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8648 loss: 1.8648 2022/08/03 01:08:00 - mmengine - INFO - Epoch(train) [74][1320/1879] lr: 2.0000e-02 eta: 1 day, 12:21:04 time: 0.9415 data_time: 0.0310 memory: 11089 grad_norm: 4.4333 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9172 loss: 1.9172 2022/08/03 01:08:18 - mmengine - INFO - Epoch(train) [74][1340/1879] lr: 2.0000e-02 eta: 1 day, 12:20:46 time: 0.9047 data_time: 0.0241 memory: 11089 grad_norm: 4.2585 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0044 loss: 2.0044 2022/08/03 01:08:37 - mmengine - INFO - Epoch(train) [74][1360/1879] lr: 2.0000e-02 eta: 1 day, 12:20:28 time: 0.9092 data_time: 0.0236 memory: 11089 grad_norm: 4.1824 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9846 loss: 1.9846 2022/08/03 01:08:55 - mmengine - INFO - Epoch(train) [74][1380/1879] lr: 2.0000e-02 eta: 1 day, 12:20:09 time: 0.9061 data_time: 0.0299 memory: 11089 grad_norm: 4.2019 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9227 loss: 1.9227 2022/08/03 01:09:13 - mmengine - INFO - Epoch(train) [74][1400/1879] lr: 2.0000e-02 eta: 1 day, 12:19:51 time: 0.9263 data_time: 0.0374 memory: 11089 grad_norm: 4.2249 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8377 loss: 1.8377 2022/08/03 01:09:31 - mmengine - INFO - Epoch(train) [74][1420/1879] lr: 2.0000e-02 eta: 1 day, 12:19:33 time: 0.9116 data_time: 0.0251 memory: 11089 grad_norm: 4.2636 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9376 loss: 1.9376 2022/08/03 01:09:50 - mmengine - INFO - Epoch(train) [74][1440/1879] lr: 2.0000e-02 eta: 1 day, 12:19:15 time: 0.9131 data_time: 0.0201 memory: 11089 grad_norm: 4.3493 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1417 loss: 2.1417 2022/08/03 01:10:08 - mmengine - INFO - Epoch(train) [74][1460/1879] lr: 2.0000e-02 eta: 1 day, 12:18:56 time: 0.9047 data_time: 0.0305 memory: 11089 grad_norm: 4.2220 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0534 loss: 2.0534 2022/08/03 01:10:26 - mmengine - INFO - Epoch(train) [74][1480/1879] lr: 2.0000e-02 eta: 1 day, 12:18:38 time: 0.9153 data_time: 0.0275 memory: 11089 grad_norm: 4.2232 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0545 loss: 2.0545 2022/08/03 01:10:45 - mmengine - INFO - Epoch(train) [74][1500/1879] lr: 2.0000e-02 eta: 1 day, 12:18:20 time: 0.9251 data_time: 0.0326 memory: 11089 grad_norm: 4.1910 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0947 loss: 2.0947 2022/08/03 01:11:03 - mmengine - INFO - Epoch(train) [74][1520/1879] lr: 2.0000e-02 eta: 1 day, 12:18:02 time: 0.9270 data_time: 0.0287 memory: 11089 grad_norm: 4.1234 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2063 loss: 2.2063 2022/08/03 01:11:22 - mmengine - INFO - Epoch(train) [74][1540/1879] lr: 2.0000e-02 eta: 1 day, 12:17:44 time: 0.9359 data_time: 0.0273 memory: 11089 grad_norm: 4.2596 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0426 loss: 2.0426 2022/08/03 01:11:40 - mmengine - INFO - Epoch(train) [74][1560/1879] lr: 2.0000e-02 eta: 1 day, 12:17:26 time: 0.9209 data_time: 0.0197 memory: 11089 grad_norm: 4.1739 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7647 loss: 1.7647 2022/08/03 01:11:59 - mmengine - INFO - Epoch(train) [74][1580/1879] lr: 2.0000e-02 eta: 1 day, 12:17:08 time: 0.9093 data_time: 0.0276 memory: 11089 grad_norm: 4.1569 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8874 loss: 1.8874 2022/08/03 01:12:17 - mmengine - INFO - Epoch(train) [74][1600/1879] lr: 2.0000e-02 eta: 1 day, 12:16:50 time: 0.9335 data_time: 0.0332 memory: 11089 grad_norm: 4.1650 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8839 loss: 1.8839 2022/08/03 01:12:35 - mmengine - INFO - Epoch(train) [74][1620/1879] lr: 2.0000e-02 eta: 1 day, 12:16:32 time: 0.9121 data_time: 0.0332 memory: 11089 grad_norm: 4.1686 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8148 loss: 1.8148 2022/08/03 01:12:54 - mmengine - INFO - Epoch(train) [74][1640/1879] lr: 2.0000e-02 eta: 1 day, 12:16:14 time: 0.9352 data_time: 0.0293 memory: 11089 grad_norm: 4.1781 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8929 loss: 1.8929 2022/08/03 01:13:13 - mmengine - INFO - Epoch(train) [74][1660/1879] lr: 2.0000e-02 eta: 1 day, 12:15:56 time: 0.9458 data_time: 0.0224 memory: 11089 grad_norm: 4.2123 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7663 loss: 1.7663 2022/08/03 01:13:32 - mmengine - INFO - Epoch(train) [74][1680/1879] lr: 2.0000e-02 eta: 1 day, 12:15:39 time: 0.9361 data_time: 0.0267 memory: 11089 grad_norm: 4.1915 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7573 loss: 1.7573 2022/08/03 01:13:51 - mmengine - INFO - Epoch(train) [74][1700/1879] lr: 2.0000e-02 eta: 1 day, 12:15:21 time: 0.9353 data_time: 0.0335 memory: 11089 grad_norm: 4.1787 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9630 loss: 1.9630 2022/08/03 01:14:09 - mmengine - INFO - Epoch(train) [74][1720/1879] lr: 2.0000e-02 eta: 1 day, 12:15:03 time: 0.9371 data_time: 0.0392 memory: 11089 grad_norm: 4.0207 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9477 loss: 1.9477 2022/08/03 01:14:28 - mmengine - INFO - Epoch(train) [74][1740/1879] lr: 2.0000e-02 eta: 1 day, 12:14:45 time: 0.9268 data_time: 0.0312 memory: 11089 grad_norm: 4.1577 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8739 loss: 1.8739 2022/08/03 01:14:46 - mmengine - INFO - Epoch(train) [74][1760/1879] lr: 2.0000e-02 eta: 1 day, 12:14:27 time: 0.9172 data_time: 0.0253 memory: 11089 grad_norm: 4.1348 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9399 loss: 1.9399 2022/08/03 01:15:05 - mmengine - INFO - Epoch(train) [74][1780/1879] lr: 2.0000e-02 eta: 1 day, 12:14:09 time: 0.9285 data_time: 0.0245 memory: 11089 grad_norm: 4.2381 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0423 loss: 2.0423 2022/08/03 01:15:23 - mmengine - INFO - Epoch(train) [74][1800/1879] lr: 2.0000e-02 eta: 1 day, 12:13:51 time: 0.9121 data_time: 0.0230 memory: 11089 grad_norm: 4.1682 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0665 loss: 2.0665 2022/08/03 01:15:41 - mmengine - INFO - Epoch(train) [74][1820/1879] lr: 2.0000e-02 eta: 1 day, 12:13:33 time: 0.9262 data_time: 0.0285 memory: 11089 grad_norm: 4.0937 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.8074 loss: 1.8074 2022/08/03 01:15:53 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 01:16:00 - mmengine - INFO - Epoch(train) [74][1840/1879] lr: 2.0000e-02 eta: 1 day, 12:13:15 time: 0.9191 data_time: 0.0322 memory: 11089 grad_norm: 4.2604 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8984 loss: 1.8984 2022/08/03 01:16:18 - mmengine - INFO - Epoch(train) [74][1860/1879] lr: 2.0000e-02 eta: 1 day, 12:12:57 time: 0.9246 data_time: 0.0343 memory: 11089 grad_norm: 4.2147 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8628 loss: 1.8628 2022/08/03 01:16:36 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 01:16:36 - mmengine - INFO - Epoch(train) [74][1879/1879] lr: 2.0000e-02 eta: 1 day, 12:12:57 time: 0.9163 data_time: 0.0275 memory: 11089 grad_norm: 4.3239 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.9290 loss: 1.9290 2022/08/03 01:16:56 - mmengine - INFO - Epoch(train) [75][20/1879] lr: 2.0000e-02 eta: 1 day, 12:12:05 time: 0.9861 data_time: 0.1081 memory: 11089 grad_norm: 4.1373 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8364 loss: 1.8364 2022/08/03 01:17:14 - mmengine - INFO - Epoch(train) [75][40/1879] lr: 2.0000e-02 eta: 1 day, 12:11:47 time: 0.9211 data_time: 0.0360 memory: 11089 grad_norm: 4.2886 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7769 loss: 1.7769 2022/08/03 01:17:32 - mmengine - INFO - Epoch(train) [75][60/1879] lr: 2.0000e-02 eta: 1 day, 12:11:28 time: 0.9078 data_time: 0.0266 memory: 11089 grad_norm: 4.1670 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0620 loss: 2.0620 2022/08/03 01:17:51 - mmengine - INFO - Epoch(train) [75][80/1879] lr: 2.0000e-02 eta: 1 day, 12:11:10 time: 0.9210 data_time: 0.0258 memory: 11089 grad_norm: 4.2124 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8170 loss: 1.8170 2022/08/03 01:18:09 - mmengine - INFO - Epoch(train) [75][100/1879] lr: 2.0000e-02 eta: 1 day, 12:10:52 time: 0.9238 data_time: 0.0274 memory: 11089 grad_norm: 4.2250 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7609 loss: 1.7609 2022/08/03 01:18:28 - mmengine - INFO - Epoch(train) [75][120/1879] lr: 2.0000e-02 eta: 1 day, 12:10:34 time: 0.9188 data_time: 0.0260 memory: 11089 grad_norm: 4.1181 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7334 loss: 1.7334 2022/08/03 01:18:46 - mmengine - INFO - Epoch(train) [75][140/1879] lr: 2.0000e-02 eta: 1 day, 12:10:16 time: 0.9329 data_time: 0.0407 memory: 11089 grad_norm: 4.3237 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0315 loss: 2.0315 2022/08/03 01:19:04 - mmengine - INFO - Epoch(train) [75][160/1879] lr: 2.0000e-02 eta: 1 day, 12:09:58 time: 0.9000 data_time: 0.0229 memory: 11089 grad_norm: 4.1949 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0037 loss: 2.0037 2022/08/03 01:19:23 - mmengine - INFO - Epoch(train) [75][180/1879] lr: 2.0000e-02 eta: 1 day, 12:09:40 time: 0.9407 data_time: 0.0369 memory: 11089 grad_norm: 4.3755 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0526 loss: 2.0526 2022/08/03 01:19:41 - mmengine - INFO - Epoch(train) [75][200/1879] lr: 2.0000e-02 eta: 1 day, 12:09:22 time: 0.9174 data_time: 0.0300 memory: 11089 grad_norm: 4.2264 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9312 loss: 1.9312 2022/08/03 01:20:00 - mmengine - INFO - Epoch(train) [75][220/1879] lr: 2.0000e-02 eta: 1 day, 12:09:04 time: 0.9131 data_time: 0.0264 memory: 11089 grad_norm: 4.1193 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1265 loss: 2.1265 2022/08/03 01:20:18 - mmengine - INFO - Epoch(train) [75][240/1879] lr: 2.0000e-02 eta: 1 day, 12:08:45 time: 0.9101 data_time: 0.0303 memory: 11089 grad_norm: 4.1592 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8828 loss: 1.8828 2022/08/03 01:20:36 - mmengine - INFO - Epoch(train) [75][260/1879] lr: 2.0000e-02 eta: 1 day, 12:08:27 time: 0.9122 data_time: 0.0224 memory: 11089 grad_norm: 4.2298 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8018 loss: 1.8018 2022/08/03 01:20:55 - mmengine - INFO - Epoch(train) [75][280/1879] lr: 2.0000e-02 eta: 1 day, 12:08:10 time: 0.9487 data_time: 0.0271 memory: 11089 grad_norm: 4.2762 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7829 loss: 1.7829 2022/08/03 01:21:13 - mmengine - INFO - Epoch(train) [75][300/1879] lr: 2.0000e-02 eta: 1 day, 12:07:52 time: 0.9255 data_time: 0.0252 memory: 11089 grad_norm: 4.1777 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7157 loss: 1.7157 2022/08/03 01:21:32 - mmengine - INFO - Epoch(train) [75][320/1879] lr: 2.0000e-02 eta: 1 day, 12:07:33 time: 0.9107 data_time: 0.0240 memory: 11089 grad_norm: 4.3268 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9394 loss: 1.9394 2022/08/03 01:21:50 - mmengine - INFO - Epoch(train) [75][340/1879] lr: 2.0000e-02 eta: 1 day, 12:07:15 time: 0.9015 data_time: 0.0227 memory: 11089 grad_norm: 4.1547 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8130 loss: 1.8130 2022/08/03 01:22:09 - mmengine - INFO - Epoch(train) [75][360/1879] lr: 2.0000e-02 eta: 1 day, 12:06:57 time: 0.9397 data_time: 0.0269 memory: 11089 grad_norm: 4.1960 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0566 loss: 2.0566 2022/08/03 01:22:27 - mmengine - INFO - Epoch(train) [75][380/1879] lr: 2.0000e-02 eta: 1 day, 12:06:39 time: 0.9213 data_time: 0.0337 memory: 11089 grad_norm: 4.1073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6336 loss: 1.6336 2022/08/03 01:22:45 - mmengine - INFO - Epoch(train) [75][400/1879] lr: 2.0000e-02 eta: 1 day, 12:06:21 time: 0.9147 data_time: 0.0322 memory: 11089 grad_norm: 4.1590 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9350 loss: 1.9350 2022/08/03 01:23:04 - mmengine - INFO - Epoch(train) [75][420/1879] lr: 2.0000e-02 eta: 1 day, 12:06:03 time: 0.9238 data_time: 0.0212 memory: 11089 grad_norm: 4.2709 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9309 loss: 1.9309 2022/08/03 01:23:23 - mmengine - INFO - Epoch(train) [75][440/1879] lr: 2.0000e-02 eta: 1 day, 12:05:45 time: 0.9470 data_time: 0.0421 memory: 11089 grad_norm: 4.1534 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0675 loss: 2.0675 2022/08/03 01:23:41 - mmengine - INFO - Epoch(train) [75][460/1879] lr: 2.0000e-02 eta: 1 day, 12:05:27 time: 0.9370 data_time: 0.0310 memory: 11089 grad_norm: 4.1862 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1019 loss: 2.1019 2022/08/03 01:24:00 - mmengine - INFO - Epoch(train) [75][480/1879] lr: 2.0000e-02 eta: 1 day, 12:05:10 time: 0.9350 data_time: 0.0268 memory: 11089 grad_norm: 4.2514 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9411 loss: 1.9411 2022/08/03 01:24:19 - mmengine - INFO - Epoch(train) [75][500/1879] lr: 2.0000e-02 eta: 1 day, 12:04:52 time: 0.9253 data_time: 0.0330 memory: 11089 grad_norm: 4.1516 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8657 loss: 1.8657 2022/08/03 01:24:37 - mmengine - INFO - Epoch(train) [75][520/1879] lr: 2.0000e-02 eta: 1 day, 12:04:34 time: 0.9329 data_time: 0.0320 memory: 11089 grad_norm: 4.1334 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6309 loss: 1.6309 2022/08/03 01:24:56 - mmengine - INFO - Epoch(train) [75][540/1879] lr: 2.0000e-02 eta: 1 day, 12:04:16 time: 0.9345 data_time: 0.0272 memory: 11089 grad_norm: 4.1771 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9557 loss: 1.9557 2022/08/03 01:25:14 - mmengine - INFO - Epoch(train) [75][560/1879] lr: 2.0000e-02 eta: 1 day, 12:03:58 time: 0.9232 data_time: 0.0243 memory: 11089 grad_norm: 4.2482 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7595 loss: 1.7595 2022/08/03 01:25:33 - mmengine - INFO - Epoch(train) [75][580/1879] lr: 2.0000e-02 eta: 1 day, 12:03:40 time: 0.9168 data_time: 0.0263 memory: 11089 grad_norm: 4.0982 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8211 loss: 1.8211 2022/08/03 01:25:52 - mmengine - INFO - Epoch(train) [75][600/1879] lr: 2.0000e-02 eta: 1 day, 12:03:22 time: 0.9442 data_time: 0.0219 memory: 11089 grad_norm: 4.0963 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0910 loss: 2.0910 2022/08/03 01:26:10 - mmengine - INFO - Epoch(train) [75][620/1879] lr: 2.0000e-02 eta: 1 day, 12:03:04 time: 0.9180 data_time: 0.0241 memory: 11089 grad_norm: 4.1726 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0952 loss: 2.0952 2022/08/03 01:26:28 - mmengine - INFO - Epoch(train) [75][640/1879] lr: 2.0000e-02 eta: 1 day, 12:02:46 time: 0.9173 data_time: 0.0283 memory: 11089 grad_norm: 4.1911 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8216 loss: 1.8216 2022/08/03 01:26:47 - mmengine - INFO - Epoch(train) [75][660/1879] lr: 2.0000e-02 eta: 1 day, 12:02:28 time: 0.9262 data_time: 0.0247 memory: 11089 grad_norm: 4.2144 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9085 loss: 1.9085 2022/08/03 01:27:05 - mmengine - INFO - Epoch(train) [75][680/1879] lr: 2.0000e-02 eta: 1 day, 12:02:10 time: 0.9197 data_time: 0.0268 memory: 11089 grad_norm: 4.1374 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8491 loss: 1.8491 2022/08/03 01:27:24 - mmengine - INFO - Epoch(train) [75][700/1879] lr: 2.0000e-02 eta: 1 day, 12:01:52 time: 0.9205 data_time: 0.0327 memory: 11089 grad_norm: 4.1168 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.8016 loss: 1.8016 2022/08/03 01:27:42 - mmengine - INFO - Epoch(train) [75][720/1879] lr: 2.0000e-02 eta: 1 day, 12:01:33 time: 0.9146 data_time: 0.0263 memory: 11089 grad_norm: 4.2336 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0149 loss: 2.0149 2022/08/03 01:28:00 - mmengine - INFO - Epoch(train) [75][740/1879] lr: 2.0000e-02 eta: 1 day, 12:01:15 time: 0.9095 data_time: 0.0292 memory: 11089 grad_norm: 4.2094 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9111 loss: 1.9111 2022/08/03 01:28:19 - mmengine - INFO - Epoch(train) [75][760/1879] lr: 2.0000e-02 eta: 1 day, 12:00:57 time: 0.9132 data_time: 0.0315 memory: 11089 grad_norm: 4.2821 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8793 loss: 1.8793 2022/08/03 01:28:37 - mmengine - INFO - Epoch(train) [75][780/1879] lr: 2.0000e-02 eta: 1 day, 12:00:39 time: 0.9452 data_time: 0.0371 memory: 11089 grad_norm: 4.2030 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0145 loss: 2.0145 2022/08/03 01:28:56 - mmengine - INFO - Epoch(train) [75][800/1879] lr: 2.0000e-02 eta: 1 day, 12:00:21 time: 0.9131 data_time: 0.0272 memory: 11089 grad_norm: 4.1866 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0762 loss: 2.0762 2022/08/03 01:29:14 - mmengine - INFO - Epoch(train) [75][820/1879] lr: 2.0000e-02 eta: 1 day, 12:00:03 time: 0.9302 data_time: 0.0259 memory: 11089 grad_norm: 4.2528 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5951 loss: 1.5951 2022/08/03 01:29:33 - mmengine - INFO - Epoch(train) [75][840/1879] lr: 2.0000e-02 eta: 1 day, 11:59:45 time: 0.9211 data_time: 0.0247 memory: 11089 grad_norm: 4.2548 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9101 loss: 1.9101 2022/08/03 01:29:51 - mmengine - INFO - Epoch(train) [75][860/1879] lr: 2.0000e-02 eta: 1 day, 11:59:27 time: 0.9308 data_time: 0.0277 memory: 11089 grad_norm: 4.1893 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9437 loss: 1.9437 2022/08/03 01:30:10 - mmengine - INFO - Epoch(train) [75][880/1879] lr: 2.0000e-02 eta: 1 day, 11:59:09 time: 0.9120 data_time: 0.0252 memory: 11089 grad_norm: 4.1868 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8946 loss: 1.8946 2022/08/03 01:30:29 - mmengine - INFO - Epoch(train) [75][900/1879] lr: 2.0000e-02 eta: 1 day, 11:58:51 time: 0.9463 data_time: 0.0254 memory: 11089 grad_norm: 4.2009 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8741 loss: 1.8741 2022/08/03 01:30:47 - mmengine - INFO - Epoch(train) [75][920/1879] lr: 2.0000e-02 eta: 1 day, 11:58:33 time: 0.9238 data_time: 0.0285 memory: 11089 grad_norm: 4.3062 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9774 loss: 1.9774 2022/08/03 01:31:06 - mmengine - INFO - Epoch(train) [75][940/1879] lr: 2.0000e-02 eta: 1 day, 11:58:16 time: 0.9491 data_time: 0.0308 memory: 11089 grad_norm: 4.2196 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8184 loss: 1.8184 2022/08/03 01:31:19 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 01:31:24 - mmengine - INFO - Epoch(train) [75][960/1879] lr: 2.0000e-02 eta: 1 day, 11:57:57 time: 0.9116 data_time: 0.0304 memory: 11089 grad_norm: 4.2511 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9228 loss: 1.9228 2022/08/03 01:31:43 - mmengine - INFO - Epoch(train) [75][980/1879] lr: 2.0000e-02 eta: 1 day, 11:57:39 time: 0.9145 data_time: 0.0281 memory: 11089 grad_norm: 4.2014 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7543 loss: 1.7543 2022/08/03 01:32:01 - mmengine - INFO - Epoch(train) [75][1000/1879] lr: 2.0000e-02 eta: 1 day, 11:57:21 time: 0.9188 data_time: 0.0286 memory: 11089 grad_norm: 4.1569 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7068 loss: 1.7068 2022/08/03 01:32:19 - mmengine - INFO - Epoch(train) [75][1020/1879] lr: 2.0000e-02 eta: 1 day, 11:57:03 time: 0.9235 data_time: 0.0199 memory: 11089 grad_norm: 4.2340 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9883 loss: 1.9883 2022/08/03 01:32:38 - mmengine - INFO - Epoch(train) [75][1040/1879] lr: 2.0000e-02 eta: 1 day, 11:56:45 time: 0.9122 data_time: 0.0280 memory: 11089 grad_norm: 4.2052 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1821 loss: 2.1821 2022/08/03 01:32:56 - mmengine - INFO - Epoch(train) [75][1060/1879] lr: 2.0000e-02 eta: 1 day, 11:56:27 time: 0.9333 data_time: 0.0323 memory: 11089 grad_norm: 4.1541 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1878 loss: 2.1878 2022/08/03 01:33:15 - mmengine - INFO - Epoch(train) [75][1080/1879] lr: 2.0000e-02 eta: 1 day, 11:56:09 time: 0.9420 data_time: 0.0286 memory: 11089 grad_norm: 4.0505 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.9256 loss: 1.9256 2022/08/03 01:33:34 - mmengine - INFO - Epoch(train) [75][1100/1879] lr: 2.0000e-02 eta: 1 day, 11:55:51 time: 0.9204 data_time: 0.0271 memory: 11089 grad_norm: 4.2762 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7966 loss: 1.7966 2022/08/03 01:33:52 - mmengine - INFO - Epoch(train) [75][1120/1879] lr: 2.0000e-02 eta: 1 day, 11:55:33 time: 0.9069 data_time: 0.0236 memory: 11089 grad_norm: 4.3256 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0250 loss: 2.0250 2022/08/03 01:34:10 - mmengine - INFO - Epoch(train) [75][1140/1879] lr: 2.0000e-02 eta: 1 day, 11:55:14 time: 0.9090 data_time: 0.0248 memory: 11089 grad_norm: 4.2293 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8447 loss: 1.8447 2022/08/03 01:34:28 - mmengine - INFO - Epoch(train) [75][1160/1879] lr: 2.0000e-02 eta: 1 day, 11:54:56 time: 0.9183 data_time: 0.0224 memory: 11089 grad_norm: 4.2544 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8394 loss: 1.8394 2022/08/03 01:34:47 - mmengine - INFO - Epoch(train) [75][1180/1879] lr: 2.0000e-02 eta: 1 day, 11:54:38 time: 0.9310 data_time: 0.0283 memory: 11089 grad_norm: 4.1215 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8508 loss: 1.8508 2022/08/03 01:35:06 - mmengine - INFO - Epoch(train) [75][1200/1879] lr: 2.0000e-02 eta: 1 day, 11:54:21 time: 0.9366 data_time: 0.0358 memory: 11089 grad_norm: 4.1893 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8648 loss: 1.8648 2022/08/03 01:35:24 - mmengine - INFO - Epoch(train) [75][1220/1879] lr: 2.0000e-02 eta: 1 day, 11:54:03 time: 0.9408 data_time: 0.0362 memory: 11089 grad_norm: 4.0717 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9161 loss: 1.9161 2022/08/03 01:35:43 - mmengine - INFO - Epoch(train) [75][1240/1879] lr: 2.0000e-02 eta: 1 day, 11:53:45 time: 0.9391 data_time: 0.0362 memory: 11089 grad_norm: 4.1469 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0721 loss: 2.0721 2022/08/03 01:36:01 - mmengine - INFO - Epoch(train) [75][1260/1879] lr: 2.0000e-02 eta: 1 day, 11:53:27 time: 0.9135 data_time: 0.0325 memory: 11089 grad_norm: 4.1163 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9535 loss: 1.9535 2022/08/03 01:36:20 - mmengine - INFO - Epoch(train) [75][1280/1879] lr: 2.0000e-02 eta: 1 day, 11:53:08 time: 0.9030 data_time: 0.0274 memory: 11089 grad_norm: 4.1754 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9669 loss: 1.9669 2022/08/03 01:36:38 - mmengine - INFO - Epoch(train) [75][1300/1879] lr: 2.0000e-02 eta: 1 day, 11:52:51 time: 0.9386 data_time: 0.0292 memory: 11089 grad_norm: 4.1691 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9482 loss: 1.9482 2022/08/03 01:36:57 - mmengine - INFO - Epoch(train) [75][1320/1879] lr: 2.0000e-02 eta: 1 day, 11:52:33 time: 0.9556 data_time: 0.0329 memory: 11089 grad_norm: 4.2570 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8879 loss: 1.8879 2022/08/03 01:37:16 - mmengine - INFO - Epoch(train) [75][1340/1879] lr: 2.0000e-02 eta: 1 day, 11:52:15 time: 0.9164 data_time: 0.0330 memory: 11089 grad_norm: 4.2296 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8442 loss: 1.8442 2022/08/03 01:37:34 - mmengine - INFO - Epoch(train) [75][1360/1879] lr: 2.0000e-02 eta: 1 day, 11:51:57 time: 0.9201 data_time: 0.0279 memory: 11089 grad_norm: 4.2058 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0017 loss: 2.0017 2022/08/03 01:37:53 - mmengine - INFO - Epoch(train) [75][1380/1879] lr: 2.0000e-02 eta: 1 day, 11:51:39 time: 0.9268 data_time: 0.0349 memory: 11089 grad_norm: 4.2049 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9879 loss: 1.9879 2022/08/03 01:38:11 - mmengine - INFO - Epoch(train) [75][1400/1879] lr: 2.0000e-02 eta: 1 day, 11:51:21 time: 0.9022 data_time: 0.0234 memory: 11089 grad_norm: 4.2438 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.1268 loss: 2.1268 2022/08/03 01:38:29 - mmengine - INFO - Epoch(train) [75][1420/1879] lr: 2.0000e-02 eta: 1 day, 11:51:03 time: 0.9209 data_time: 0.0266 memory: 11089 grad_norm: 4.2884 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9487 loss: 1.9487 2022/08/03 01:38:48 - mmengine - INFO - Epoch(train) [75][1440/1879] lr: 2.0000e-02 eta: 1 day, 11:50:45 time: 0.9364 data_time: 0.0283 memory: 11089 grad_norm: 4.2950 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8734 loss: 1.8734 2022/08/03 01:39:06 - mmengine - INFO - Epoch(train) [75][1460/1879] lr: 2.0000e-02 eta: 1 day, 11:50:26 time: 0.9074 data_time: 0.0241 memory: 11089 grad_norm: 4.1857 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9528 loss: 1.9528 2022/08/03 01:39:25 - mmengine - INFO - Epoch(train) [75][1480/1879] lr: 2.0000e-02 eta: 1 day, 11:50:09 time: 0.9462 data_time: 0.0354 memory: 11089 grad_norm: 4.2142 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1675 loss: 2.1675 2022/08/03 01:39:46 - mmengine - INFO - Epoch(train) [75][1500/1879] lr: 2.0000e-02 eta: 1 day, 11:49:53 time: 1.0293 data_time: 0.0252 memory: 11089 grad_norm: 4.1190 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0601 loss: 2.0601 2022/08/03 01:40:05 - mmengine - INFO - Epoch(train) [75][1520/1879] lr: 2.0000e-02 eta: 1 day, 11:49:36 time: 0.9756 data_time: 0.0495 memory: 11089 grad_norm: 4.2140 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8695 loss: 1.8695 2022/08/03 01:40:25 - mmengine - INFO - Epoch(train) [75][1540/1879] lr: 2.0000e-02 eta: 1 day, 11:49:19 time: 0.9760 data_time: 0.0272 memory: 11089 grad_norm: 4.1423 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0592 loss: 2.0592 2022/08/03 01:40:45 - mmengine - INFO - Epoch(train) [75][1560/1879] lr: 2.0000e-02 eta: 1 day, 11:49:03 time: 1.0431 data_time: 0.0321 memory: 11089 grad_norm: 4.1651 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8872 loss: 1.8872 2022/08/03 01:41:05 - mmengine - INFO - Epoch(train) [75][1580/1879] lr: 2.0000e-02 eta: 1 day, 11:48:46 time: 0.9622 data_time: 0.0263 memory: 11089 grad_norm: 4.1880 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8497 loss: 1.8497 2022/08/03 01:41:23 - mmengine - INFO - Epoch(train) [75][1600/1879] lr: 2.0000e-02 eta: 1 day, 11:48:28 time: 0.9331 data_time: 0.0351 memory: 11089 grad_norm: 4.2448 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9248 loss: 1.9248 2022/08/03 01:41:42 - mmengine - INFO - Epoch(train) [75][1620/1879] lr: 2.0000e-02 eta: 1 day, 11:48:10 time: 0.9197 data_time: 0.0319 memory: 11089 grad_norm: 4.0943 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9371 loss: 1.9371 2022/08/03 01:42:00 - mmengine - INFO - Epoch(train) [75][1640/1879] lr: 2.0000e-02 eta: 1 day, 11:47:52 time: 0.9200 data_time: 0.0269 memory: 11089 grad_norm: 4.2654 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0352 loss: 2.0352 2022/08/03 01:42:25 - mmengine - INFO - Epoch(train) [75][1660/1879] lr: 2.0000e-02 eta: 1 day, 11:47:40 time: 1.2143 data_time: 0.0293 memory: 11089 grad_norm: 4.2072 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9796 loss: 1.9796 2022/08/03 01:42:43 - mmengine - INFO - Epoch(train) [75][1680/1879] lr: 2.0000e-02 eta: 1 day, 11:47:22 time: 0.9297 data_time: 0.0431 memory: 11089 grad_norm: 4.1572 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9766 loss: 1.9766 2022/08/03 01:43:07 - mmengine - INFO - Epoch(train) [75][1700/1879] lr: 2.0000e-02 eta: 1 day, 11:47:08 time: 1.1456 data_time: 0.0428 memory: 11089 grad_norm: 4.1448 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0699 loss: 2.0699 2022/08/03 01:43:30 - mmengine - INFO - Epoch(train) [75][1720/1879] lr: 2.0000e-02 eta: 1 day, 11:46:56 time: 1.2097 data_time: 0.1044 memory: 11089 grad_norm: 4.2227 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8163 loss: 1.8163 2022/08/03 01:43:49 - mmengine - INFO - Epoch(train) [75][1740/1879] lr: 2.0000e-02 eta: 1 day, 11:46:38 time: 0.9394 data_time: 0.0312 memory: 11089 grad_norm: 4.1722 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8081 loss: 1.8081 2022/08/03 01:44:07 - mmengine - INFO - Epoch(train) [75][1760/1879] lr: 2.0000e-02 eta: 1 day, 11:46:20 time: 0.9076 data_time: 0.0268 memory: 11089 grad_norm: 4.1200 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9887 loss: 1.9887 2022/08/03 01:44:26 - mmengine - INFO - Epoch(train) [75][1780/1879] lr: 2.0000e-02 eta: 1 day, 11:46:02 time: 0.9241 data_time: 0.0308 memory: 11089 grad_norm: 4.2458 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1850 loss: 2.1850 2022/08/03 01:44:44 - mmengine - INFO - Epoch(train) [75][1800/1879] lr: 2.0000e-02 eta: 1 day, 11:45:44 time: 0.9395 data_time: 0.0290 memory: 11089 grad_norm: 4.2750 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0982 loss: 2.0982 2022/08/03 01:45:03 - mmengine - INFO - Epoch(train) [75][1820/1879] lr: 2.0000e-02 eta: 1 day, 11:45:26 time: 0.9193 data_time: 0.0275 memory: 11089 grad_norm: 4.2018 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0019 loss: 2.0019 2022/08/03 01:45:21 - mmengine - INFO - Epoch(train) [75][1840/1879] lr: 2.0000e-02 eta: 1 day, 11:45:08 time: 0.9208 data_time: 0.0256 memory: 11089 grad_norm: 4.1724 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9775 loss: 1.9775 2022/08/03 01:45:39 - mmengine - INFO - Epoch(train) [75][1860/1879] lr: 2.0000e-02 eta: 1 day, 11:44:49 time: 0.9073 data_time: 0.0287 memory: 11089 grad_norm: 4.1423 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0249 loss: 2.0249 2022/08/03 01:45:56 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 01:45:56 - mmengine - INFO - Epoch(train) [75][1879/1879] lr: 2.0000e-02 eta: 1 day, 11:44:49 time: 0.8888 data_time: 0.0221 memory: 11089 grad_norm: 4.2020 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.9365 loss: 1.9365 2022/08/03 01:46:05 - mmengine - INFO - Epoch(val) [75][20/155] eta: 0:00:58 time: 0.4323 data_time: 0.1170 memory: 1950 2022/08/03 01:46:12 - mmengine - INFO - Epoch(val) [75][40/155] eta: 0:00:37 time: 0.3254 data_time: 0.0112 memory: 1950 2022/08/03 01:46:18 - mmengine - INFO - Epoch(val) [75][60/155] eta: 0:00:31 time: 0.3326 data_time: 0.0120 memory: 1950 2022/08/03 01:46:25 - mmengine - INFO - Epoch(val) [75][80/155] eta: 0:00:24 time: 0.3230 data_time: 0.0118 memory: 1950 2022/08/03 01:46:31 - mmengine - INFO - Epoch(val) [75][100/155] eta: 0:00:18 time: 0.3298 data_time: 0.0118 memory: 1950 2022/08/03 01:46:38 - mmengine - INFO - Epoch(val) [75][120/155] eta: 0:00:11 time: 0.3330 data_time: 0.0120 memory: 1950 2022/08/03 01:46:45 - mmengine - INFO - Epoch(val) [75][140/155] eta: 0:00:05 time: 0.3718 data_time: 0.0108 memory: 1950 2022/08/03 01:46:52 - mmengine - INFO - Epoch(val) [75][155/155] acc/top1: 0.6032 acc/top5: 0.8259 acc/mean1: 0.6030 2022/08/03 01:47:12 - mmengine - INFO - Epoch(train) [76][20/1879] lr: 2.0000e-02 eta: 1 day, 11:43:58 time: 0.9874 data_time: 0.1274 memory: 11089 grad_norm: 4.1837 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9288 loss: 1.9288 2022/08/03 01:47:31 - mmengine - INFO - Epoch(train) [76][40/1879] lr: 2.0000e-02 eta: 1 day, 11:43:40 time: 0.9136 data_time: 0.0285 memory: 11089 grad_norm: 4.1084 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8396 loss: 1.8396 2022/08/03 01:47:48 - mmengine - INFO - Epoch(train) [76][60/1879] lr: 2.0000e-02 eta: 1 day, 11:43:21 time: 0.8760 data_time: 0.0236 memory: 11089 grad_norm: 4.1096 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8827 loss: 1.8827 2022/08/03 01:48:02 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 01:48:07 - mmengine - INFO - Epoch(train) [76][80/1879] lr: 2.0000e-02 eta: 1 day, 11:43:03 time: 0.9208 data_time: 0.0313 memory: 11089 grad_norm: 4.1523 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9439 loss: 1.9439 2022/08/03 01:48:25 - mmengine - INFO - Epoch(train) [76][100/1879] lr: 2.0000e-02 eta: 1 day, 11:42:45 time: 0.9301 data_time: 0.0322 memory: 11089 grad_norm: 4.3179 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9322 loss: 1.9322 2022/08/03 01:48:43 - mmengine - INFO - Epoch(train) [76][120/1879] lr: 2.0000e-02 eta: 1 day, 11:42:26 time: 0.9065 data_time: 0.0217 memory: 11089 grad_norm: 4.1534 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8512 loss: 1.8512 2022/08/03 01:49:02 - mmengine - INFO - Epoch(train) [76][140/1879] lr: 2.0000e-02 eta: 1 day, 11:42:08 time: 0.9114 data_time: 0.0273 memory: 11089 grad_norm: 4.0798 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7879 loss: 1.7879 2022/08/03 01:49:20 - mmengine - INFO - Epoch(train) [76][160/1879] lr: 2.0000e-02 eta: 1 day, 11:41:50 time: 0.9100 data_time: 0.0228 memory: 11089 grad_norm: 4.1603 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8649 loss: 1.8649 2022/08/03 01:49:38 - mmengine - INFO - Epoch(train) [76][180/1879] lr: 2.0000e-02 eta: 1 day, 11:41:31 time: 0.9150 data_time: 0.0276 memory: 11089 grad_norm: 4.1947 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9434 loss: 1.9434 2022/08/03 01:49:56 - mmengine - INFO - Epoch(train) [76][200/1879] lr: 2.0000e-02 eta: 1 day, 11:41:13 time: 0.9180 data_time: 0.0278 memory: 11089 grad_norm: 4.3921 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7255 loss: 1.7255 2022/08/03 01:50:14 - mmengine - INFO - Epoch(train) [76][220/1879] lr: 2.0000e-02 eta: 1 day, 11:40:55 time: 0.8979 data_time: 0.0195 memory: 11089 grad_norm: 4.3249 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8717 loss: 1.8717 2022/08/03 01:50:32 - mmengine - INFO - Epoch(train) [76][240/1879] lr: 2.0000e-02 eta: 1 day, 11:40:36 time: 0.9026 data_time: 0.0209 memory: 11089 grad_norm: 4.1601 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7989 loss: 1.7989 2022/08/03 01:50:51 - mmengine - INFO - Epoch(train) [76][260/1879] lr: 2.0000e-02 eta: 1 day, 11:40:18 time: 0.9121 data_time: 0.0264 memory: 11089 grad_norm: 4.2473 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9773 loss: 1.9773 2022/08/03 01:51:09 - mmengine - INFO - Epoch(train) [76][280/1879] lr: 2.0000e-02 eta: 1 day, 11:40:00 time: 0.9126 data_time: 0.0266 memory: 11089 grad_norm: 4.2012 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8232 loss: 1.8232 2022/08/03 01:51:28 - mmengine - INFO - Epoch(train) [76][300/1879] lr: 2.0000e-02 eta: 1 day, 11:39:42 time: 0.9327 data_time: 0.0272 memory: 11089 grad_norm: 4.2029 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8919 loss: 1.8919 2022/08/03 01:51:46 - mmengine - INFO - Epoch(train) [76][320/1879] lr: 2.0000e-02 eta: 1 day, 11:39:23 time: 0.9055 data_time: 0.0240 memory: 11089 grad_norm: 4.2425 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0063 loss: 2.0063 2022/08/03 01:52:04 - mmengine - INFO - Epoch(train) [76][340/1879] lr: 2.0000e-02 eta: 1 day, 11:39:05 time: 0.9004 data_time: 0.0303 memory: 11089 grad_norm: 4.2570 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8137 loss: 1.8137 2022/08/03 01:52:22 - mmengine - INFO - Epoch(train) [76][360/1879] lr: 2.0000e-02 eta: 1 day, 11:38:47 time: 0.9101 data_time: 0.0285 memory: 11089 grad_norm: 4.1422 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7847 loss: 1.7847 2022/08/03 01:52:40 - mmengine - INFO - Epoch(train) [76][380/1879] lr: 2.0000e-02 eta: 1 day, 11:38:28 time: 0.9195 data_time: 0.0252 memory: 11089 grad_norm: 4.2277 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8322 loss: 1.8322 2022/08/03 01:52:59 - mmengine - INFO - Epoch(train) [76][400/1879] lr: 2.0000e-02 eta: 1 day, 11:38:10 time: 0.9276 data_time: 0.0247 memory: 11089 grad_norm: 4.3243 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8961 loss: 1.8961 2022/08/03 01:53:17 - mmengine - INFO - Epoch(train) [76][420/1879] lr: 2.0000e-02 eta: 1 day, 11:37:52 time: 0.9230 data_time: 0.0272 memory: 11089 grad_norm: 4.2680 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8411 loss: 1.8411 2022/08/03 01:53:36 - mmengine - INFO - Epoch(train) [76][440/1879] lr: 2.0000e-02 eta: 1 day, 11:37:34 time: 0.9268 data_time: 0.0239 memory: 11089 grad_norm: 4.1764 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9570 loss: 1.9570 2022/08/03 01:53:54 - mmengine - INFO - Epoch(train) [76][460/1879] lr: 2.0000e-02 eta: 1 day, 11:37:16 time: 0.9013 data_time: 0.0253 memory: 11089 grad_norm: 4.1017 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.9111 loss: 1.9111 2022/08/03 01:54:12 - mmengine - INFO - Epoch(train) [76][480/1879] lr: 2.0000e-02 eta: 1 day, 11:36:57 time: 0.9017 data_time: 0.0259 memory: 11089 grad_norm: 4.2437 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2038 loss: 2.2038 2022/08/03 01:54:30 - mmengine - INFO - Epoch(train) [76][500/1879] lr: 2.0000e-02 eta: 1 day, 11:36:39 time: 0.9181 data_time: 0.0300 memory: 11089 grad_norm: 4.2729 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.1444 loss: 2.1444 2022/08/03 01:54:49 - mmengine - INFO - Epoch(train) [76][520/1879] lr: 2.0000e-02 eta: 1 day, 11:36:21 time: 0.9115 data_time: 0.0254 memory: 11089 grad_norm: 4.1944 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9526 loss: 1.9526 2022/08/03 01:55:07 - mmengine - INFO - Epoch(train) [76][540/1879] lr: 2.0000e-02 eta: 1 day, 11:36:03 time: 0.9156 data_time: 0.0294 memory: 11089 grad_norm: 4.2272 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0120 loss: 2.0120 2022/08/03 01:55:25 - mmengine - INFO - Epoch(train) [76][560/1879] lr: 2.0000e-02 eta: 1 day, 11:35:45 time: 0.9108 data_time: 0.0315 memory: 11089 grad_norm: 4.1700 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9213 loss: 1.9213 2022/08/03 01:55:43 - mmengine - INFO - Epoch(train) [76][580/1879] lr: 2.0000e-02 eta: 1 day, 11:35:26 time: 0.9032 data_time: 0.0224 memory: 11089 grad_norm: 4.2645 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1140 loss: 2.1140 2022/08/03 01:56:01 - mmengine - INFO - Epoch(train) [76][600/1879] lr: 2.0000e-02 eta: 1 day, 11:35:08 time: 0.9164 data_time: 0.0223 memory: 11089 grad_norm: 4.2913 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.9325 loss: 1.9325 2022/08/03 01:56:20 - mmengine - INFO - Epoch(train) [76][620/1879] lr: 2.0000e-02 eta: 1 day, 11:34:49 time: 0.9061 data_time: 0.0248 memory: 11089 grad_norm: 4.2082 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6360 loss: 1.6360 2022/08/03 01:56:38 - mmengine - INFO - Epoch(train) [76][640/1879] lr: 2.0000e-02 eta: 1 day, 11:34:31 time: 0.9015 data_time: 0.0257 memory: 11089 grad_norm: 4.1338 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9115 loss: 1.9115 2022/08/03 01:56:56 - mmengine - INFO - Epoch(train) [76][660/1879] lr: 2.0000e-02 eta: 1 day, 11:34:13 time: 0.9172 data_time: 0.0239 memory: 11089 grad_norm: 4.1522 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0402 loss: 2.0402 2022/08/03 01:57:15 - mmengine - INFO - Epoch(train) [76][680/1879] lr: 2.0000e-02 eta: 1 day, 11:33:55 time: 0.9263 data_time: 0.0269 memory: 11089 grad_norm: 4.2529 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0836 loss: 2.0836 2022/08/03 01:57:33 - mmengine - INFO - Epoch(train) [76][700/1879] lr: 2.0000e-02 eta: 1 day, 11:33:37 time: 0.9234 data_time: 0.0306 memory: 11089 grad_norm: 4.1286 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8844 loss: 1.8844 2022/08/03 01:57:52 - mmengine - INFO - Epoch(train) [76][720/1879] lr: 2.0000e-02 eta: 1 day, 11:33:19 time: 0.9368 data_time: 0.0280 memory: 11089 grad_norm: 4.2486 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8364 loss: 1.8364 2022/08/03 01:58:10 - mmengine - INFO - Epoch(train) [76][740/1879] lr: 2.0000e-02 eta: 1 day, 11:33:01 time: 0.9076 data_time: 0.0243 memory: 11089 grad_norm: 4.3126 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8611 loss: 1.8611 2022/08/03 01:58:29 - mmengine - INFO - Epoch(train) [76][760/1879] lr: 2.0000e-02 eta: 1 day, 11:32:43 time: 0.9370 data_time: 0.0305 memory: 11089 grad_norm: 4.1615 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.9620 loss: 1.9620 2022/08/03 01:58:47 - mmengine - INFO - Epoch(train) [76][780/1879] lr: 2.0000e-02 eta: 1 day, 11:32:25 time: 0.9133 data_time: 0.0269 memory: 11089 grad_norm: 4.3375 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0356 loss: 2.0356 2022/08/03 01:59:05 - mmengine - INFO - Epoch(train) [76][800/1879] lr: 2.0000e-02 eta: 1 day, 11:32:06 time: 0.9151 data_time: 0.0246 memory: 11089 grad_norm: 4.2715 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8638 loss: 1.8638 2022/08/03 01:59:23 - mmengine - INFO - Epoch(train) [76][820/1879] lr: 2.0000e-02 eta: 1 day, 11:31:48 time: 0.8899 data_time: 0.0207 memory: 11089 grad_norm: 4.0824 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9288 loss: 1.9288 2022/08/03 01:59:41 - mmengine - INFO - Epoch(train) [76][840/1879] lr: 2.0000e-02 eta: 1 day, 11:31:29 time: 0.9165 data_time: 0.0254 memory: 11089 grad_norm: 4.1950 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0224 loss: 2.0224 2022/08/03 02:00:00 - mmengine - INFO - Epoch(train) [76][860/1879] lr: 2.0000e-02 eta: 1 day, 11:31:11 time: 0.9224 data_time: 0.0242 memory: 11089 grad_norm: 4.2648 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9033 loss: 1.9033 2022/08/03 02:00:20 - mmengine - INFO - Epoch(train) [76][880/1879] lr: 2.0000e-02 eta: 1 day, 11:30:55 time: 1.0177 data_time: 0.0383 memory: 11089 grad_norm: 4.1075 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0776 loss: 2.0776 2022/08/03 02:00:38 - mmengine - INFO - Epoch(train) [76][900/1879] lr: 2.0000e-02 eta: 1 day, 11:30:37 time: 0.9101 data_time: 0.0277 memory: 11089 grad_norm: 4.1210 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8523 loss: 1.8523 2022/08/03 02:00:57 - mmengine - INFO - Epoch(train) [76][920/1879] lr: 2.0000e-02 eta: 1 day, 11:30:19 time: 0.9298 data_time: 0.0301 memory: 11089 grad_norm: 4.1647 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8468 loss: 1.8468 2022/08/03 02:01:15 - mmengine - INFO - Epoch(train) [76][940/1879] lr: 2.0000e-02 eta: 1 day, 11:30:01 time: 0.9220 data_time: 0.0296 memory: 11089 grad_norm: 4.1697 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0619 loss: 2.0619 2022/08/03 02:01:33 - mmengine - INFO - Epoch(train) [76][960/1879] lr: 2.0000e-02 eta: 1 day, 11:29:42 time: 0.8974 data_time: 0.0186 memory: 11089 grad_norm: 4.1912 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8904 loss: 1.8904 2022/08/03 02:01:52 - mmengine - INFO - Epoch(train) [76][980/1879] lr: 2.0000e-02 eta: 1 day, 11:29:24 time: 0.9090 data_time: 0.0259 memory: 11089 grad_norm: 4.1839 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8573 loss: 1.8573 2022/08/03 02:02:10 - mmengine - INFO - Epoch(train) [76][1000/1879] lr: 2.0000e-02 eta: 1 day, 11:29:06 time: 0.9192 data_time: 0.0261 memory: 11089 grad_norm: 4.2217 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9598 loss: 1.9598 2022/08/03 02:02:28 - mmengine - INFO - Epoch(train) [76][1020/1879] lr: 2.0000e-02 eta: 1 day, 11:28:48 time: 0.9231 data_time: 0.0290 memory: 11089 grad_norm: 4.1021 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7747 loss: 1.7747 2022/08/03 02:02:46 - mmengine - INFO - Epoch(train) [76][1040/1879] lr: 2.0000e-02 eta: 1 day, 11:28:29 time: 0.9028 data_time: 0.0254 memory: 11089 grad_norm: 4.1422 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8960 loss: 1.8960 2022/08/03 02:03:05 - mmengine - INFO - Epoch(train) [76][1060/1879] lr: 2.0000e-02 eta: 1 day, 11:28:11 time: 0.9065 data_time: 0.0227 memory: 11089 grad_norm: 4.2098 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8760 loss: 1.8760 2022/08/03 02:03:18 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 02:03:22 - mmengine - INFO - Epoch(train) [76][1080/1879] lr: 2.0000e-02 eta: 1 day, 11:27:52 time: 0.8947 data_time: 0.0209 memory: 11089 grad_norm: 4.1046 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8142 loss: 1.8142 2022/08/03 02:03:41 - mmengine - INFO - Epoch(train) [76][1100/1879] lr: 2.0000e-02 eta: 1 day, 11:27:34 time: 0.9200 data_time: 0.0236 memory: 11089 grad_norm: 4.1511 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.9791 loss: 1.9791 2022/08/03 02:03:59 - mmengine - INFO - Epoch(train) [76][1120/1879] lr: 2.0000e-02 eta: 1 day, 11:27:16 time: 0.9295 data_time: 0.0278 memory: 11089 grad_norm: 4.1961 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7543 loss: 1.7543 2022/08/03 02:04:18 - mmengine - INFO - Epoch(train) [76][1140/1879] lr: 2.0000e-02 eta: 1 day, 11:26:58 time: 0.9054 data_time: 0.0240 memory: 11089 grad_norm: 4.1860 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9762 loss: 1.9762 2022/08/03 02:04:36 - mmengine - INFO - Epoch(train) [76][1160/1879] lr: 2.0000e-02 eta: 1 day, 11:26:40 time: 0.9102 data_time: 0.0219 memory: 11089 grad_norm: 4.3349 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9120 loss: 1.9120 2022/08/03 02:04:54 - mmengine - INFO - Epoch(train) [76][1180/1879] lr: 2.0000e-02 eta: 1 day, 11:26:21 time: 0.9171 data_time: 0.0227 memory: 11089 grad_norm: 4.2478 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9482 loss: 1.9482 2022/08/03 02:05:12 - mmengine - INFO - Epoch(train) [76][1200/1879] lr: 2.0000e-02 eta: 1 day, 11:26:03 time: 0.9168 data_time: 0.0300 memory: 11089 grad_norm: 4.1556 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9258 loss: 1.9258 2022/08/03 02:05:31 - mmengine - INFO - Epoch(train) [76][1220/1879] lr: 2.0000e-02 eta: 1 day, 11:25:45 time: 0.9054 data_time: 0.0205 memory: 11089 grad_norm: 4.2355 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9811 loss: 1.9811 2022/08/03 02:05:49 - mmengine - INFO - Epoch(train) [76][1240/1879] lr: 2.0000e-02 eta: 1 day, 11:25:26 time: 0.9074 data_time: 0.0230 memory: 11089 grad_norm: 4.1332 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7925 loss: 1.7925 2022/08/03 02:06:07 - mmengine - INFO - Epoch(train) [76][1260/1879] lr: 2.0000e-02 eta: 1 day, 11:25:08 time: 0.9186 data_time: 0.0254 memory: 11089 grad_norm: 4.1822 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8996 loss: 1.8996 2022/08/03 02:06:25 - mmengine - INFO - Epoch(train) [76][1280/1879] lr: 2.0000e-02 eta: 1 day, 11:24:50 time: 0.9083 data_time: 0.0232 memory: 11089 grad_norm: 4.1595 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7337 loss: 1.7337 2022/08/03 02:06:44 - mmengine - INFO - Epoch(train) [76][1300/1879] lr: 2.0000e-02 eta: 1 day, 11:24:32 time: 0.9157 data_time: 0.0285 memory: 11089 grad_norm: 4.2172 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0036 loss: 2.0036 2022/08/03 02:07:02 - mmengine - INFO - Epoch(train) [76][1320/1879] lr: 2.0000e-02 eta: 1 day, 11:24:14 time: 0.9209 data_time: 0.0256 memory: 11089 grad_norm: 4.1133 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8836 loss: 1.8836 2022/08/03 02:07:20 - mmengine - INFO - Epoch(train) [76][1340/1879] lr: 2.0000e-02 eta: 1 day, 11:23:56 time: 0.9226 data_time: 0.0271 memory: 11089 grad_norm: 4.1477 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0439 loss: 2.0439 2022/08/03 02:07:39 - mmengine - INFO - Epoch(train) [76][1360/1879] lr: 2.0000e-02 eta: 1 day, 11:23:37 time: 0.9180 data_time: 0.0288 memory: 11089 grad_norm: 4.1466 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0125 loss: 2.0125 2022/08/03 02:07:57 - mmengine - INFO - Epoch(train) [76][1380/1879] lr: 2.0000e-02 eta: 1 day, 11:23:19 time: 0.9072 data_time: 0.0216 memory: 11089 grad_norm: 4.0969 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.1500 loss: 2.1500 2022/08/03 02:08:15 - mmengine - INFO - Epoch(train) [76][1400/1879] lr: 2.0000e-02 eta: 1 day, 11:23:01 time: 0.9126 data_time: 0.0220 memory: 11089 grad_norm: 4.1076 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8774 loss: 1.8774 2022/08/03 02:08:34 - mmengine - INFO - Epoch(train) [76][1420/1879] lr: 2.0000e-02 eta: 1 day, 11:22:43 time: 0.9237 data_time: 0.0257 memory: 11089 grad_norm: 4.1958 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8973 loss: 1.8973 2022/08/03 02:08:52 - mmengine - INFO - Epoch(train) [76][1440/1879] lr: 2.0000e-02 eta: 1 day, 11:22:25 time: 0.9194 data_time: 0.0265 memory: 11089 grad_norm: 4.1177 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8485 loss: 1.8485 2022/08/03 02:09:10 - mmengine - INFO - Epoch(train) [76][1460/1879] lr: 2.0000e-02 eta: 1 day, 11:22:06 time: 0.9136 data_time: 0.0253 memory: 11089 grad_norm: 4.3484 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1367 loss: 2.1367 2022/08/03 02:09:28 - mmengine - INFO - Epoch(train) [76][1480/1879] lr: 2.0000e-02 eta: 1 day, 11:21:48 time: 0.9046 data_time: 0.0234 memory: 11089 grad_norm: 4.0918 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.9205 loss: 1.9205 2022/08/03 02:09:47 - mmengine - INFO - Epoch(train) [76][1500/1879] lr: 2.0000e-02 eta: 1 day, 11:21:30 time: 0.9107 data_time: 0.0219 memory: 11089 grad_norm: 4.1106 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9245 loss: 1.9245 2022/08/03 02:10:05 - mmengine - INFO - Epoch(train) [76][1520/1879] lr: 2.0000e-02 eta: 1 day, 11:21:12 time: 0.9230 data_time: 0.0310 memory: 11089 grad_norm: 4.2131 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1116 loss: 2.1116 2022/08/03 02:10:23 - mmengine - INFO - Epoch(train) [76][1540/1879] lr: 2.0000e-02 eta: 1 day, 11:20:53 time: 0.8940 data_time: 0.0215 memory: 11089 grad_norm: 4.2139 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9963 loss: 1.9963 2022/08/03 02:10:42 - mmengine - INFO - Epoch(train) [76][1560/1879] lr: 2.0000e-02 eta: 1 day, 11:20:35 time: 0.9240 data_time: 0.0269 memory: 11089 grad_norm: 4.1067 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7535 loss: 1.7535 2022/08/03 02:11:00 - mmengine - INFO - Epoch(train) [76][1580/1879] lr: 2.0000e-02 eta: 1 day, 11:20:17 time: 0.9159 data_time: 0.0272 memory: 11089 grad_norm: 4.0264 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8839 loss: 1.8839 2022/08/03 02:11:18 - mmengine - INFO - Epoch(train) [76][1600/1879] lr: 2.0000e-02 eta: 1 day, 11:19:59 time: 0.9249 data_time: 0.0288 memory: 11089 grad_norm: 4.1939 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7707 loss: 1.7707 2022/08/03 02:11:36 - mmengine - INFO - Epoch(train) [76][1620/1879] lr: 2.0000e-02 eta: 1 day, 11:19:40 time: 0.9034 data_time: 0.0269 memory: 11089 grad_norm: 4.2429 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2627 loss: 2.2627 2022/08/03 02:11:55 - mmengine - INFO - Epoch(train) [76][1640/1879] lr: 2.0000e-02 eta: 1 day, 11:19:22 time: 0.9124 data_time: 0.0285 memory: 11089 grad_norm: 4.1351 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9256 loss: 1.9256 2022/08/03 02:12:13 - mmengine - INFO - Epoch(train) [76][1660/1879] lr: 2.0000e-02 eta: 1 day, 11:19:04 time: 0.9180 data_time: 0.0269 memory: 11089 grad_norm: 4.2427 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8091 loss: 1.8091 2022/08/03 02:12:31 - mmengine - INFO - Epoch(train) [76][1680/1879] lr: 2.0000e-02 eta: 1 day, 11:18:45 time: 0.8960 data_time: 0.0193 memory: 11089 grad_norm: 4.1575 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9825 loss: 1.9825 2022/08/03 02:12:49 - mmengine - INFO - Epoch(train) [76][1700/1879] lr: 2.0000e-02 eta: 1 day, 11:18:27 time: 0.9124 data_time: 0.0227 memory: 11089 grad_norm: 4.1010 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8047 loss: 1.8047 2022/08/03 02:13:07 - mmengine - INFO - Epoch(train) [76][1720/1879] lr: 2.0000e-02 eta: 1 day, 11:18:09 time: 0.9111 data_time: 0.0307 memory: 11089 grad_norm: 4.2684 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9632 loss: 1.9632 2022/08/03 02:13:26 - mmengine - INFO - Epoch(train) [76][1740/1879] lr: 2.0000e-02 eta: 1 day, 11:17:50 time: 0.9127 data_time: 0.0299 memory: 11089 grad_norm: 4.2827 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8734 loss: 1.8734 2022/08/03 02:13:44 - mmengine - INFO - Epoch(train) [76][1760/1879] lr: 2.0000e-02 eta: 1 day, 11:17:32 time: 0.9286 data_time: 0.0290 memory: 11089 grad_norm: 4.1849 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0249 loss: 2.0249 2022/08/03 02:14:02 - mmengine - INFO - Epoch(train) [76][1780/1879] lr: 2.0000e-02 eta: 1 day, 11:17:14 time: 0.9095 data_time: 0.0184 memory: 11089 grad_norm: 4.1343 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8661 loss: 1.8661 2022/08/03 02:14:21 - mmengine - INFO - Epoch(train) [76][1800/1879] lr: 2.0000e-02 eta: 1 day, 11:16:56 time: 0.9224 data_time: 0.0249 memory: 11089 grad_norm: 4.2804 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.9021 loss: 1.9021 2022/08/03 02:14:39 - mmengine - INFO - Epoch(train) [76][1820/1879] lr: 2.0000e-02 eta: 1 day, 11:16:38 time: 0.9190 data_time: 0.0234 memory: 11089 grad_norm: 4.0709 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0039 loss: 2.0039 2022/08/03 02:14:58 - mmengine - INFO - Epoch(train) [76][1840/1879] lr: 2.0000e-02 eta: 1 day, 11:16:20 time: 0.9155 data_time: 0.0260 memory: 11089 grad_norm: 4.1307 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9860 loss: 1.9860 2022/08/03 02:15:16 - mmengine - INFO - Epoch(train) [76][1860/1879] lr: 2.0000e-02 eta: 1 day, 11:16:01 time: 0.9004 data_time: 0.0251 memory: 11089 grad_norm: 4.1802 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1152 loss: 2.1152 2022/08/03 02:15:33 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 02:15:33 - mmengine - INFO - Epoch(train) [76][1879/1879] lr: 2.0000e-02 eta: 1 day, 11:16:01 time: 0.9114 data_time: 0.0262 memory: 11089 grad_norm: 4.4019 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.9159 loss: 1.9159 2022/08/03 02:15:33 - mmengine - INFO - Saving checkpoint at 76 epochs 2022/08/03 02:15:56 - mmengine - INFO - Epoch(train) [77][20/1879] lr: 2.0000e-02 eta: 1 day, 11:15:10 time: 0.9933 data_time: 0.1026 memory: 11089 grad_norm: 4.3006 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9274 loss: 1.9274 2022/08/03 02:16:14 - mmengine - INFO - Epoch(train) [77][40/1879] lr: 2.0000e-02 eta: 1 day, 11:14:52 time: 0.9171 data_time: 0.0260 memory: 11089 grad_norm: 4.1421 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7866 loss: 1.7866 2022/08/03 02:16:32 - mmengine - INFO - Epoch(train) [77][60/1879] lr: 2.0000e-02 eta: 1 day, 11:14:34 time: 0.9154 data_time: 0.0288 memory: 11089 grad_norm: 4.1864 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6935 loss: 1.6935 2022/08/03 02:16:51 - mmengine - INFO - Epoch(train) [77][80/1879] lr: 2.0000e-02 eta: 1 day, 11:14:16 time: 0.9321 data_time: 0.0284 memory: 11089 grad_norm: 4.2075 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8296 loss: 1.8296 2022/08/03 02:17:10 - mmengine - INFO - Epoch(train) [77][100/1879] lr: 2.0000e-02 eta: 1 day, 11:13:58 time: 0.9330 data_time: 0.0331 memory: 11089 grad_norm: 4.2527 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9055 loss: 1.9055 2022/08/03 02:17:28 - mmengine - INFO - Epoch(train) [77][120/1879] lr: 2.0000e-02 eta: 1 day, 11:13:40 time: 0.9363 data_time: 0.0333 memory: 11089 grad_norm: 4.2792 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1701 loss: 2.1701 2022/08/03 02:17:47 - mmengine - INFO - Epoch(train) [77][140/1879] lr: 2.0000e-02 eta: 1 day, 11:13:22 time: 0.9272 data_time: 0.0274 memory: 11089 grad_norm: 4.1903 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0159 loss: 2.0159 2022/08/03 02:18:05 - mmengine - INFO - Epoch(train) [77][160/1879] lr: 2.0000e-02 eta: 1 day, 11:13:04 time: 0.9096 data_time: 0.0325 memory: 11089 grad_norm: 4.1869 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0404 loss: 2.0404 2022/08/03 02:18:24 - mmengine - INFO - Epoch(train) [77][180/1879] lr: 2.0000e-02 eta: 1 day, 11:12:46 time: 0.9422 data_time: 0.0258 memory: 11089 grad_norm: 4.0708 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9651 loss: 1.9651 2022/08/03 02:18:39 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 02:18:42 - mmengine - INFO - Epoch(train) [77][200/1879] lr: 2.0000e-02 eta: 1 day, 11:12:28 time: 0.9191 data_time: 0.0309 memory: 11089 grad_norm: 4.1358 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.0131 loss: 2.0131 2022/08/03 02:19:01 - mmengine - INFO - Epoch(train) [77][220/1879] lr: 2.0000e-02 eta: 1 day, 11:12:10 time: 0.9173 data_time: 0.0257 memory: 11089 grad_norm: 4.1158 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8471 loss: 1.8471 2022/08/03 02:19:19 - mmengine - INFO - Epoch(train) [77][240/1879] lr: 2.0000e-02 eta: 1 day, 11:11:52 time: 0.9155 data_time: 0.0234 memory: 11089 grad_norm: 4.1104 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7576 loss: 1.7576 2022/08/03 02:19:37 - mmengine - INFO - Epoch(train) [77][260/1879] lr: 2.0000e-02 eta: 1 day, 11:11:34 time: 0.9231 data_time: 0.0242 memory: 11089 grad_norm: 4.1752 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9067 loss: 1.9067 2022/08/03 02:19:55 - mmengine - INFO - Epoch(train) [77][280/1879] lr: 2.0000e-02 eta: 1 day, 11:11:15 time: 0.9021 data_time: 0.0237 memory: 11089 grad_norm: 4.1391 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0123 loss: 2.0123 2022/08/03 02:20:14 - mmengine - INFO - Epoch(train) [77][300/1879] lr: 2.0000e-02 eta: 1 day, 11:10:57 time: 0.9180 data_time: 0.0298 memory: 11089 grad_norm: 4.1213 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7598 loss: 1.7598 2022/08/03 02:20:32 - mmengine - INFO - Epoch(train) [77][320/1879] lr: 2.0000e-02 eta: 1 day, 11:10:39 time: 0.9124 data_time: 0.0289 memory: 11089 grad_norm: 4.2907 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0375 loss: 2.0375 2022/08/03 02:20:51 - mmengine - INFO - Epoch(train) [77][340/1879] lr: 2.0000e-02 eta: 1 day, 11:10:21 time: 0.9211 data_time: 0.0310 memory: 11089 grad_norm: 4.2423 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0688 loss: 2.0688 2022/08/03 02:21:09 - mmengine - INFO - Epoch(train) [77][360/1879] lr: 2.0000e-02 eta: 1 day, 11:10:03 time: 0.9243 data_time: 0.0281 memory: 11089 grad_norm: 4.1611 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9921 loss: 1.9921 2022/08/03 02:21:27 - mmengine - INFO - Epoch(train) [77][380/1879] lr: 2.0000e-02 eta: 1 day, 11:09:44 time: 0.9159 data_time: 0.0256 memory: 11089 grad_norm: 4.3462 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2074 loss: 2.2074 2022/08/03 02:21:46 - mmengine - INFO - Epoch(train) [77][400/1879] lr: 2.0000e-02 eta: 1 day, 11:09:26 time: 0.9083 data_time: 0.0248 memory: 11089 grad_norm: 4.3213 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9906 loss: 1.9906 2022/08/03 02:22:04 - mmengine - INFO - Epoch(train) [77][420/1879] lr: 2.0000e-02 eta: 1 day, 11:09:08 time: 0.9322 data_time: 0.0302 memory: 11089 grad_norm: 4.2722 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9736 loss: 1.9736 2022/08/03 02:22:23 - mmengine - INFO - Epoch(train) [77][440/1879] lr: 2.0000e-02 eta: 1 day, 11:08:50 time: 0.9286 data_time: 0.0340 memory: 11089 grad_norm: 4.1082 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9536 loss: 1.9536 2022/08/03 02:22:41 - mmengine - INFO - Epoch(train) [77][460/1879] lr: 2.0000e-02 eta: 1 day, 11:08:32 time: 0.9096 data_time: 0.0307 memory: 11089 grad_norm: 4.1282 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8076 loss: 1.8076 2022/08/03 02:22:59 - mmengine - INFO - Epoch(train) [77][480/1879] lr: 2.0000e-02 eta: 1 day, 11:08:14 time: 0.9048 data_time: 0.0252 memory: 11089 grad_norm: 4.3295 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8741 loss: 1.8741 2022/08/03 02:23:17 - mmengine - INFO - Epoch(train) [77][500/1879] lr: 2.0000e-02 eta: 1 day, 11:07:55 time: 0.9143 data_time: 0.0238 memory: 11089 grad_norm: 4.2084 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9868 loss: 1.9868 2022/08/03 02:23:35 - mmengine - INFO - Epoch(train) [77][520/1879] lr: 2.0000e-02 eta: 1 day, 11:07:37 time: 0.9080 data_time: 0.0227 memory: 11089 grad_norm: 4.1933 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9867 loss: 1.9867 2022/08/03 02:23:54 - mmengine - INFO - Epoch(train) [77][540/1879] lr: 2.0000e-02 eta: 1 day, 11:07:19 time: 0.9106 data_time: 0.0290 memory: 11089 grad_norm: 4.0958 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9918 loss: 1.9918 2022/08/03 02:24:12 - mmengine - INFO - Epoch(train) [77][560/1879] lr: 2.0000e-02 eta: 1 day, 11:07:00 time: 0.9154 data_time: 0.0254 memory: 11089 grad_norm: 4.1428 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8980 loss: 1.8980 2022/08/03 02:24:31 - mmengine - INFO - Epoch(train) [77][580/1879] lr: 2.0000e-02 eta: 1 day, 11:06:42 time: 0.9291 data_time: 0.0285 memory: 11089 grad_norm: 4.1857 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9396 loss: 1.9396 2022/08/03 02:24:49 - mmengine - INFO - Epoch(train) [77][600/1879] lr: 2.0000e-02 eta: 1 day, 11:06:24 time: 0.8988 data_time: 0.0233 memory: 11089 grad_norm: 4.2491 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9623 loss: 1.9623 2022/08/03 02:25:07 - mmengine - INFO - Epoch(train) [77][620/1879] lr: 2.0000e-02 eta: 1 day, 11:06:06 time: 0.9176 data_time: 0.0288 memory: 11089 grad_norm: 4.1864 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8880 loss: 1.8880 2022/08/03 02:25:25 - mmengine - INFO - Epoch(train) [77][640/1879] lr: 2.0000e-02 eta: 1 day, 11:05:47 time: 0.8966 data_time: 0.0230 memory: 11089 grad_norm: 4.0915 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9072 loss: 1.9072 2022/08/03 02:25:43 - mmengine - INFO - Epoch(train) [77][660/1879] lr: 2.0000e-02 eta: 1 day, 11:05:29 time: 0.9172 data_time: 0.0289 memory: 11089 grad_norm: 4.0841 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8709 loss: 1.8709 2022/08/03 02:26:01 - mmengine - INFO - Epoch(train) [77][680/1879] lr: 2.0000e-02 eta: 1 day, 11:05:11 time: 0.9042 data_time: 0.0238 memory: 11089 grad_norm: 4.2499 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.9486 loss: 1.9486 2022/08/03 02:26:19 - mmengine - INFO - Epoch(train) [77][700/1879] lr: 2.0000e-02 eta: 1 day, 11:04:52 time: 0.8981 data_time: 0.0218 memory: 11089 grad_norm: 4.3749 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1598 loss: 2.1598 2022/08/03 02:26:38 - mmengine - INFO - Epoch(train) [77][720/1879] lr: 2.0000e-02 eta: 1 day, 11:04:34 time: 0.9195 data_time: 0.0272 memory: 11089 grad_norm: 4.1463 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7983 loss: 1.7983 2022/08/03 02:26:56 - mmengine - INFO - Epoch(train) [77][740/1879] lr: 2.0000e-02 eta: 1 day, 11:04:16 time: 0.9249 data_time: 0.0319 memory: 11089 grad_norm: 4.1090 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8161 loss: 1.8161 2022/08/03 02:27:14 - mmengine - INFO - Epoch(train) [77][760/1879] lr: 2.0000e-02 eta: 1 day, 11:03:58 time: 0.9105 data_time: 0.0221 memory: 11089 grad_norm: 4.2249 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8637 loss: 1.8637 2022/08/03 02:27:33 - mmengine - INFO - Epoch(train) [77][780/1879] lr: 2.0000e-02 eta: 1 day, 11:03:39 time: 0.9140 data_time: 0.0245 memory: 11089 grad_norm: 4.1666 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8295 loss: 1.8295 2022/08/03 02:27:51 - mmengine - INFO - Epoch(train) [77][800/1879] lr: 2.0000e-02 eta: 1 day, 11:03:21 time: 0.9115 data_time: 0.0280 memory: 11089 grad_norm: 4.1601 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8178 loss: 1.8178 2022/08/03 02:28:09 - mmengine - INFO - Epoch(train) [77][820/1879] lr: 2.0000e-02 eta: 1 day, 11:03:03 time: 0.9050 data_time: 0.0265 memory: 11089 grad_norm: 4.2191 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9363 loss: 1.9363 2022/08/03 02:28:27 - mmengine - INFO - Epoch(train) [77][840/1879] lr: 2.0000e-02 eta: 1 day, 11:02:45 time: 0.9202 data_time: 0.0263 memory: 11089 grad_norm: 4.1674 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8713 loss: 1.8713 2022/08/03 02:28:45 - mmengine - INFO - Epoch(train) [77][860/1879] lr: 2.0000e-02 eta: 1 day, 11:02:26 time: 0.8984 data_time: 0.0239 memory: 11089 grad_norm: 4.2453 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9202 loss: 1.9202 2022/08/03 02:29:03 - mmengine - INFO - Epoch(train) [77][880/1879] lr: 2.0000e-02 eta: 1 day, 11:02:08 time: 0.9021 data_time: 0.0221 memory: 11089 grad_norm: 4.2877 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0521 loss: 2.0521 2022/08/03 02:29:22 - mmengine - INFO - Epoch(train) [77][900/1879] lr: 2.0000e-02 eta: 1 day, 11:01:49 time: 0.9188 data_time: 0.0246 memory: 11089 grad_norm: 4.3219 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0925 loss: 2.0925 2022/08/03 02:29:40 - mmengine - INFO - Epoch(train) [77][920/1879] lr: 2.0000e-02 eta: 1 day, 11:01:31 time: 0.9104 data_time: 0.0292 memory: 11089 grad_norm: 4.2050 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8263 loss: 1.8263 2022/08/03 02:29:58 - mmengine - INFO - Epoch(train) [77][940/1879] lr: 2.0000e-02 eta: 1 day, 11:01:13 time: 0.9102 data_time: 0.0280 memory: 11089 grad_norm: 4.3062 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9830 loss: 1.9830 2022/08/03 02:30:17 - mmengine - INFO - Epoch(train) [77][960/1879] lr: 2.0000e-02 eta: 1 day, 11:00:55 time: 0.9215 data_time: 0.0275 memory: 11089 grad_norm: 4.1690 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9817 loss: 1.9817 2022/08/03 02:30:35 - mmengine - INFO - Epoch(train) [77][980/1879] lr: 2.0000e-02 eta: 1 day, 11:00:36 time: 0.8927 data_time: 0.0234 memory: 11089 grad_norm: 4.1676 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0217 loss: 2.0217 2022/08/03 02:30:53 - mmengine - INFO - Epoch(train) [77][1000/1879] lr: 2.0000e-02 eta: 1 day, 11:00:18 time: 0.9086 data_time: 0.0239 memory: 11089 grad_norm: 4.2882 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7547 loss: 1.7547 2022/08/03 02:31:11 - mmengine - INFO - Epoch(train) [77][1020/1879] lr: 2.0000e-02 eta: 1 day, 11:00:00 time: 0.9187 data_time: 0.0251 memory: 11089 grad_norm: 4.2422 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9074 loss: 1.9074 2022/08/03 02:31:29 - mmengine - INFO - Epoch(train) [77][1040/1879] lr: 2.0000e-02 eta: 1 day, 10:59:41 time: 0.9002 data_time: 0.0238 memory: 11089 grad_norm: 4.2548 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8042 loss: 1.8042 2022/08/03 02:31:47 - mmengine - INFO - Epoch(train) [77][1060/1879] lr: 2.0000e-02 eta: 1 day, 10:59:23 time: 0.9062 data_time: 0.0253 memory: 11089 grad_norm: 4.1362 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6791 loss: 1.6791 2022/08/03 02:32:05 - mmengine - INFO - Epoch(train) [77][1080/1879] lr: 2.0000e-02 eta: 1 day, 10:59:04 time: 0.8969 data_time: 0.0244 memory: 11089 grad_norm: 4.3051 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0843 loss: 2.0843 2022/08/03 02:32:23 - mmengine - INFO - Epoch(train) [77][1100/1879] lr: 2.0000e-02 eta: 1 day, 10:58:46 time: 0.9064 data_time: 0.0202 memory: 11089 grad_norm: 4.1402 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8146 loss: 1.8146 2022/08/03 02:32:42 - mmengine - INFO - Epoch(train) [77][1120/1879] lr: 2.0000e-02 eta: 1 day, 10:58:28 time: 0.9278 data_time: 0.0326 memory: 11089 grad_norm: 4.1930 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8881 loss: 1.8881 2022/08/03 02:33:00 - mmengine - INFO - Epoch(train) [77][1140/1879] lr: 2.0000e-02 eta: 1 day, 10:58:10 time: 0.9145 data_time: 0.0258 memory: 11089 grad_norm: 4.2630 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9348 loss: 1.9348 2022/08/03 02:33:18 - mmengine - INFO - Epoch(train) [77][1160/1879] lr: 2.0000e-02 eta: 1 day, 10:57:51 time: 0.9010 data_time: 0.0258 memory: 11089 grad_norm: 4.1956 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0514 loss: 2.0514 2022/08/03 02:33:36 - mmengine - INFO - Epoch(train) [77][1180/1879] lr: 2.0000e-02 eta: 1 day, 10:57:33 time: 0.9101 data_time: 0.0234 memory: 11089 grad_norm: 4.3670 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1534 loss: 2.1534 2022/08/03 02:33:51 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 02:33:55 - mmengine - INFO - Epoch(train) [77][1200/1879] lr: 2.0000e-02 eta: 1 day, 10:57:15 time: 0.9222 data_time: 0.0255 memory: 11089 grad_norm: 4.1663 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0993 loss: 2.0993 2022/08/03 02:34:13 - mmengine - INFO - Epoch(train) [77][1220/1879] lr: 2.0000e-02 eta: 1 day, 10:56:57 time: 0.9278 data_time: 0.0293 memory: 11089 grad_norm: 4.1436 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8605 loss: 1.8605 2022/08/03 02:34:32 - mmengine - INFO - Epoch(train) [77][1240/1879] lr: 2.0000e-02 eta: 1 day, 10:56:38 time: 0.9107 data_time: 0.0232 memory: 11089 grad_norm: 4.1603 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8643 loss: 1.8643 2022/08/03 02:34:50 - mmengine - INFO - Epoch(train) [77][1260/1879] lr: 2.0000e-02 eta: 1 day, 10:56:20 time: 0.9160 data_time: 0.0300 memory: 11089 grad_norm: 4.0699 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.7917 loss: 1.7917 2022/08/03 02:35:08 - mmengine - INFO - Epoch(train) [77][1280/1879] lr: 2.0000e-02 eta: 1 day, 10:56:02 time: 0.9113 data_time: 0.0288 memory: 11089 grad_norm: 4.1392 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8970 loss: 1.8970 2022/08/03 02:35:26 - mmengine - INFO - Epoch(train) [77][1300/1879] lr: 2.0000e-02 eta: 1 day, 10:55:43 time: 0.8943 data_time: 0.0224 memory: 11089 grad_norm: 4.0892 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8118 loss: 1.8118 2022/08/03 02:35:44 - mmengine - INFO - Epoch(train) [77][1320/1879] lr: 2.0000e-02 eta: 1 day, 10:55:25 time: 0.8937 data_time: 0.0242 memory: 11089 grad_norm: 4.2310 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.1887 loss: 2.1887 2022/08/03 02:36:02 - mmengine - INFO - Epoch(train) [77][1340/1879] lr: 2.0000e-02 eta: 1 day, 10:55:06 time: 0.9090 data_time: 0.0236 memory: 11089 grad_norm: 4.1331 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0256 loss: 2.0256 2022/08/03 02:36:21 - mmengine - INFO - Epoch(train) [77][1360/1879] lr: 2.0000e-02 eta: 1 day, 10:54:48 time: 0.9245 data_time: 0.0298 memory: 11089 grad_norm: 4.2009 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8887 loss: 1.8887 2022/08/03 02:36:39 - mmengine - INFO - Epoch(train) [77][1380/1879] lr: 2.0000e-02 eta: 1 day, 10:54:30 time: 0.9067 data_time: 0.0254 memory: 11089 grad_norm: 4.2430 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9670 loss: 1.9670 2022/08/03 02:36:57 - mmengine - INFO - Epoch(train) [77][1400/1879] lr: 2.0000e-02 eta: 1 day, 10:54:12 time: 0.9214 data_time: 0.0248 memory: 11089 grad_norm: 4.3056 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8664 loss: 1.8664 2022/08/03 02:37:15 - mmengine - INFO - Epoch(train) [77][1420/1879] lr: 2.0000e-02 eta: 1 day, 10:53:54 time: 0.9066 data_time: 0.0234 memory: 11089 grad_norm: 4.1778 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8936 loss: 1.8936 2022/08/03 02:37:34 - mmengine - INFO - Epoch(train) [77][1440/1879] lr: 2.0000e-02 eta: 1 day, 10:53:35 time: 0.9151 data_time: 0.0278 memory: 11089 grad_norm: 4.1180 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0600 loss: 2.0600 2022/08/03 02:37:52 - mmengine - INFO - Epoch(train) [77][1460/1879] lr: 2.0000e-02 eta: 1 day, 10:53:17 time: 0.9105 data_time: 0.0251 memory: 11089 grad_norm: 4.1519 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0113 loss: 2.0113 2022/08/03 02:38:10 - mmengine - INFO - Epoch(train) [77][1480/1879] lr: 2.0000e-02 eta: 1 day, 10:52:59 time: 0.9132 data_time: 0.0267 memory: 11089 grad_norm: 4.1813 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8358 loss: 1.8358 2022/08/03 02:38:29 - mmengine - INFO - Epoch(train) [77][1500/1879] lr: 2.0000e-02 eta: 1 day, 10:52:41 time: 0.9273 data_time: 0.0287 memory: 11089 grad_norm: 4.1216 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8210 loss: 1.8210 2022/08/03 02:38:47 - mmengine - INFO - Epoch(train) [77][1520/1879] lr: 2.0000e-02 eta: 1 day, 10:52:23 time: 0.9152 data_time: 0.0280 memory: 11089 grad_norm: 4.2724 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8670 loss: 1.8670 2022/08/03 02:39:05 - mmengine - INFO - Epoch(train) [77][1540/1879] lr: 2.0000e-02 eta: 1 day, 10:52:04 time: 0.9227 data_time: 0.0267 memory: 11089 grad_norm: 4.2278 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.9308 loss: 1.9308 2022/08/03 02:39:24 - mmengine - INFO - Epoch(train) [77][1560/1879] lr: 2.0000e-02 eta: 1 day, 10:51:46 time: 0.9154 data_time: 0.0260 memory: 11089 grad_norm: 4.1782 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8457 loss: 1.8457 2022/08/03 02:39:42 - mmengine - INFO - Epoch(train) [77][1580/1879] lr: 2.0000e-02 eta: 1 day, 10:51:28 time: 0.9261 data_time: 0.0218 memory: 11089 grad_norm: 4.2376 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8049 loss: 1.8049 2022/08/03 02:40:01 - mmengine - INFO - Epoch(train) [77][1600/1879] lr: 2.0000e-02 eta: 1 day, 10:51:10 time: 0.9213 data_time: 0.0235 memory: 11089 grad_norm: 4.1770 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9045 loss: 1.9045 2022/08/03 02:40:19 - mmengine - INFO - Epoch(train) [77][1620/1879] lr: 2.0000e-02 eta: 1 day, 10:50:52 time: 0.9243 data_time: 0.0301 memory: 11089 grad_norm: 4.2642 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8415 loss: 1.8415 2022/08/03 02:40:37 - mmengine - INFO - Epoch(train) [77][1640/1879] lr: 2.0000e-02 eta: 1 day, 10:50:34 time: 0.9068 data_time: 0.0324 memory: 11089 grad_norm: 4.1596 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9441 loss: 1.9441 2022/08/03 02:40:56 - mmengine - INFO - Epoch(train) [77][1660/1879] lr: 2.0000e-02 eta: 1 day, 10:50:16 time: 0.9430 data_time: 0.0280 memory: 11089 grad_norm: 4.2615 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9554 loss: 1.9554 2022/08/03 02:41:14 - mmengine - INFO - Epoch(train) [77][1680/1879] lr: 2.0000e-02 eta: 1 day, 10:49:58 time: 0.9148 data_time: 0.0234 memory: 11089 grad_norm: 4.2269 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8657 loss: 1.8657 2022/08/03 02:41:33 - mmengine - INFO - Epoch(train) [77][1700/1879] lr: 2.0000e-02 eta: 1 day, 10:49:40 time: 0.9259 data_time: 0.0337 memory: 11089 grad_norm: 4.1712 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0670 loss: 2.0670 2022/08/03 02:41:51 - mmengine - INFO - Epoch(train) [77][1720/1879] lr: 2.0000e-02 eta: 1 day, 10:49:22 time: 0.9151 data_time: 0.0200 memory: 11089 grad_norm: 4.1208 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9561 loss: 1.9561 2022/08/03 02:42:09 - mmengine - INFO - Epoch(train) [77][1740/1879] lr: 2.0000e-02 eta: 1 day, 10:49:03 time: 0.9071 data_time: 0.0240 memory: 11089 grad_norm: 4.1068 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8496 loss: 1.8496 2022/08/03 02:42:27 - mmengine - INFO - Epoch(train) [77][1760/1879] lr: 2.0000e-02 eta: 1 day, 10:48:45 time: 0.9006 data_time: 0.0197 memory: 11089 grad_norm: 4.2003 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8914 loss: 1.8914 2022/08/03 02:42:46 - mmengine - INFO - Epoch(train) [77][1780/1879] lr: 2.0000e-02 eta: 1 day, 10:48:27 time: 0.9216 data_time: 0.0246 memory: 11089 grad_norm: 4.2515 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0208 loss: 2.0208 2022/08/03 02:43:05 - mmengine - INFO - Epoch(train) [77][1800/1879] lr: 2.0000e-02 eta: 1 day, 10:48:09 time: 0.9358 data_time: 0.0331 memory: 11089 grad_norm: 4.2773 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.8602 loss: 1.8602 2022/08/03 02:43:23 - mmengine - INFO - Epoch(train) [77][1820/1879] lr: 2.0000e-02 eta: 1 day, 10:47:51 time: 0.9222 data_time: 0.0272 memory: 11089 grad_norm: 4.1861 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0860 loss: 2.0860 2022/08/03 02:43:41 - mmengine - INFO - Epoch(train) [77][1840/1879] lr: 2.0000e-02 eta: 1 day, 10:47:33 time: 0.9149 data_time: 0.0259 memory: 11089 grad_norm: 3.9772 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7149 loss: 1.7149 2022/08/03 02:44:00 - mmengine - INFO - Epoch(train) [77][1860/1879] lr: 2.0000e-02 eta: 1 day, 10:47:14 time: 0.9172 data_time: 0.0247 memory: 11089 grad_norm: 4.0751 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2102 loss: 2.2102 2022/08/03 02:44:16 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 02:44:16 - mmengine - INFO - Epoch(train) [77][1879/1879] lr: 2.0000e-02 eta: 1 day, 10:47:14 time: 0.8835 data_time: 0.0240 memory: 11089 grad_norm: 4.1247 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.1629 loss: 2.1629 2022/08/03 02:44:37 - mmengine - INFO - Epoch(train) [78][20/1879] lr: 2.0000e-02 eta: 1 day, 10:46:24 time: 0.9977 data_time: 0.1267 memory: 11089 grad_norm: 4.0740 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9320 loss: 1.9320 2022/08/03 02:44:55 - mmengine - INFO - Epoch(train) [78][40/1879] lr: 2.0000e-02 eta: 1 day, 10:46:06 time: 0.9201 data_time: 0.0250 memory: 11089 grad_norm: 4.1590 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9283 loss: 1.9283 2022/08/03 02:45:13 - mmengine - INFO - Epoch(train) [78][60/1879] lr: 2.0000e-02 eta: 1 day, 10:45:48 time: 0.9148 data_time: 0.0334 memory: 11089 grad_norm: 4.1522 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7935 loss: 1.7935 2022/08/03 02:45:31 - mmengine - INFO - Epoch(train) [78][80/1879] lr: 2.0000e-02 eta: 1 day, 10:45:29 time: 0.8980 data_time: 0.0219 memory: 11089 grad_norm: 4.2017 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7791 loss: 1.7791 2022/08/03 02:45:50 - mmengine - INFO - Epoch(train) [78][100/1879] lr: 2.0000e-02 eta: 1 day, 10:45:11 time: 0.9188 data_time: 0.0264 memory: 11089 grad_norm: 4.1467 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9648 loss: 1.9648 2022/08/03 02:46:08 - mmengine - INFO - Epoch(train) [78][120/1879] lr: 2.0000e-02 eta: 1 day, 10:44:53 time: 0.9179 data_time: 0.0312 memory: 11089 grad_norm: 4.2753 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9895 loss: 1.9895 2022/08/03 02:46:26 - mmengine - INFO - Epoch(train) [78][140/1879] lr: 2.0000e-02 eta: 1 day, 10:44:35 time: 0.9242 data_time: 0.0290 memory: 11089 grad_norm: 4.2434 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7009 loss: 1.7009 2022/08/03 02:46:45 - mmengine - INFO - Epoch(train) [78][160/1879] lr: 2.0000e-02 eta: 1 day, 10:44:16 time: 0.9064 data_time: 0.0301 memory: 11089 grad_norm: 4.2609 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9491 loss: 1.9491 2022/08/03 02:47:02 - mmengine - INFO - Epoch(train) [78][180/1879] lr: 2.0000e-02 eta: 1 day, 10:43:58 time: 0.8965 data_time: 0.0227 memory: 11089 grad_norm: 4.1542 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9049 loss: 1.9049 2022/08/03 02:47:21 - mmengine - INFO - Epoch(train) [78][200/1879] lr: 2.0000e-02 eta: 1 day, 10:43:40 time: 0.9247 data_time: 0.0243 memory: 11089 grad_norm: 4.0952 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8523 loss: 1.8523 2022/08/03 02:47:39 - mmengine - INFO - Epoch(train) [78][220/1879] lr: 2.0000e-02 eta: 1 day, 10:43:21 time: 0.9091 data_time: 0.0300 memory: 11089 grad_norm: 4.1091 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0317 loss: 2.0317 2022/08/03 02:47:57 - mmengine - INFO - Epoch(train) [78][240/1879] lr: 2.0000e-02 eta: 1 day, 10:43:03 time: 0.9066 data_time: 0.0283 memory: 11089 grad_norm: 4.1652 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9460 loss: 1.9460 2022/08/03 02:48:15 - mmengine - INFO - Epoch(train) [78][260/1879] lr: 2.0000e-02 eta: 1 day, 10:42:45 time: 0.9066 data_time: 0.0213 memory: 11089 grad_norm: 4.3922 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9118 loss: 1.9118 2022/08/03 02:48:34 - mmengine - INFO - Epoch(train) [78][280/1879] lr: 2.0000e-02 eta: 1 day, 10:42:26 time: 0.9168 data_time: 0.0274 memory: 11089 grad_norm: 4.3281 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0163 loss: 2.0163 2022/08/03 02:48:52 - mmengine - INFO - Epoch(train) [78][300/1879] lr: 2.0000e-02 eta: 1 day, 10:42:08 time: 0.9083 data_time: 0.0274 memory: 11089 grad_norm: 4.2727 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9309 loss: 1.9309 2022/08/03 02:49:07 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 02:49:10 - mmengine - INFO - Epoch(train) [78][320/1879] lr: 2.0000e-02 eta: 1 day, 10:41:50 time: 0.9157 data_time: 0.0258 memory: 11089 grad_norm: 4.1361 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0793 loss: 2.0793 2022/08/03 02:49:28 - mmengine - INFO - Epoch(train) [78][340/1879] lr: 2.0000e-02 eta: 1 day, 10:41:32 time: 0.9050 data_time: 0.0317 memory: 11089 grad_norm: 4.1296 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9521 loss: 1.9521 2022/08/03 02:49:47 - mmengine - INFO - Epoch(train) [78][360/1879] lr: 2.0000e-02 eta: 1 day, 10:41:13 time: 0.9135 data_time: 0.0294 memory: 11089 grad_norm: 4.1247 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9220 loss: 1.9220 2022/08/03 02:50:05 - mmengine - INFO - Epoch(train) [78][380/1879] lr: 2.0000e-02 eta: 1 day, 10:40:55 time: 0.8949 data_time: 0.0240 memory: 11089 grad_norm: 4.1604 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8964 loss: 1.8964 2022/08/03 02:50:23 - mmengine - INFO - Epoch(train) [78][400/1879] lr: 2.0000e-02 eta: 1 day, 10:40:36 time: 0.9029 data_time: 0.0276 memory: 11089 grad_norm: 4.2068 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9483 loss: 1.9483 2022/08/03 02:50:41 - mmengine - INFO - Epoch(train) [78][420/1879] lr: 2.0000e-02 eta: 1 day, 10:40:18 time: 0.9169 data_time: 0.0296 memory: 11089 grad_norm: 4.2043 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 1.9426 loss: 1.9426 2022/08/03 02:51:00 - mmengine - INFO - Epoch(train) [78][440/1879] lr: 2.0000e-02 eta: 1 day, 10:40:00 time: 0.9363 data_time: 0.0297 memory: 11089 grad_norm: 4.2184 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8828 loss: 1.8828 2022/08/03 02:51:18 - mmengine - INFO - Epoch(train) [78][460/1879] lr: 2.0000e-02 eta: 1 day, 10:39:42 time: 0.8989 data_time: 0.0233 memory: 11089 grad_norm: 4.1706 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8563 loss: 1.8563 2022/08/03 02:51:36 - mmengine - INFO - Epoch(train) [78][480/1879] lr: 2.0000e-02 eta: 1 day, 10:39:23 time: 0.9064 data_time: 0.0275 memory: 11089 grad_norm: 4.3400 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0833 loss: 2.0833 2022/08/03 02:51:54 - mmengine - INFO - Epoch(train) [78][500/1879] lr: 2.0000e-02 eta: 1 day, 10:39:05 time: 0.8970 data_time: 0.0201 memory: 11089 grad_norm: 4.0652 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8482 loss: 1.8482 2022/08/03 02:52:12 - mmengine - INFO - Epoch(train) [78][520/1879] lr: 2.0000e-02 eta: 1 day, 10:38:47 time: 0.9144 data_time: 0.0262 memory: 11089 grad_norm: 4.2747 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0598 loss: 2.0598 2022/08/03 02:52:30 - mmengine - INFO - Epoch(train) [78][540/1879] lr: 2.0000e-02 eta: 1 day, 10:38:28 time: 0.9012 data_time: 0.0286 memory: 11089 grad_norm: 4.2422 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9702 loss: 1.9702 2022/08/03 02:52:48 - mmengine - INFO - Epoch(train) [78][560/1879] lr: 2.0000e-02 eta: 1 day, 10:38:10 time: 0.9101 data_time: 0.0244 memory: 11089 grad_norm: 4.2072 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9655 loss: 1.9655 2022/08/03 02:53:07 - mmengine - INFO - Epoch(train) [78][580/1879] lr: 2.0000e-02 eta: 1 day, 10:37:52 time: 0.9206 data_time: 0.0299 memory: 11089 grad_norm: 4.1983 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9751 loss: 1.9751 2022/08/03 02:53:25 - mmengine - INFO - Epoch(train) [78][600/1879] lr: 2.0000e-02 eta: 1 day, 10:37:34 time: 0.9235 data_time: 0.0252 memory: 11089 grad_norm: 4.1142 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8844 loss: 1.8844 2022/08/03 02:53:44 - mmengine - INFO - Epoch(train) [78][620/1879] lr: 2.0000e-02 eta: 1 day, 10:37:16 time: 0.9228 data_time: 0.0367 memory: 11089 grad_norm: 4.0194 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9663 loss: 1.9663 2022/08/03 02:54:02 - mmengine - INFO - Epoch(train) [78][640/1879] lr: 2.0000e-02 eta: 1 day, 10:36:57 time: 0.9133 data_time: 0.0251 memory: 11089 grad_norm: 4.1097 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8971 loss: 1.8971 2022/08/03 02:54:20 - mmengine - INFO - Epoch(train) [78][660/1879] lr: 2.0000e-02 eta: 1 day, 10:36:39 time: 0.9273 data_time: 0.0264 memory: 11089 grad_norm: 4.2546 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0530 loss: 2.0530 2022/08/03 02:54:38 - mmengine - INFO - Epoch(train) [78][680/1879] lr: 2.0000e-02 eta: 1 day, 10:36:21 time: 0.9012 data_time: 0.0252 memory: 11089 grad_norm: 4.1037 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0159 loss: 2.0159 2022/08/03 02:54:57 - mmengine - INFO - Epoch(train) [78][700/1879] lr: 2.0000e-02 eta: 1 day, 10:36:03 time: 0.9133 data_time: 0.0285 memory: 11089 grad_norm: 4.1859 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0932 loss: 2.0932 2022/08/03 02:55:15 - mmengine - INFO - Epoch(train) [78][720/1879] lr: 2.0000e-02 eta: 1 day, 10:35:45 time: 0.9188 data_time: 0.0245 memory: 11089 grad_norm: 3.9947 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8436 loss: 1.8436 2022/08/03 02:55:33 - mmengine - INFO - Epoch(train) [78][740/1879] lr: 2.0000e-02 eta: 1 day, 10:35:26 time: 0.9057 data_time: 0.0245 memory: 11089 grad_norm: 4.1789 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7927 loss: 1.7927 2022/08/03 02:55:51 - mmengine - INFO - Epoch(train) [78][760/1879] lr: 2.0000e-02 eta: 1 day, 10:35:08 time: 0.9121 data_time: 0.0208 memory: 11089 grad_norm: 4.1809 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9097 loss: 1.9097 2022/08/03 02:56:10 - mmengine - INFO - Epoch(train) [78][780/1879] lr: 2.0000e-02 eta: 1 day, 10:34:50 time: 0.9089 data_time: 0.0335 memory: 11089 grad_norm: 4.3424 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9942 loss: 1.9942 2022/08/03 02:56:28 - mmengine - INFO - Epoch(train) [78][800/1879] lr: 2.0000e-02 eta: 1 day, 10:34:31 time: 0.8949 data_time: 0.0217 memory: 11089 grad_norm: 4.2751 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0364 loss: 2.0364 2022/08/03 02:56:46 - mmengine - INFO - Epoch(train) [78][820/1879] lr: 2.0000e-02 eta: 1 day, 10:34:13 time: 0.9392 data_time: 0.0303 memory: 11089 grad_norm: 4.3066 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8802 loss: 1.8802 2022/08/03 02:57:05 - mmengine - INFO - Epoch(train) [78][840/1879] lr: 2.0000e-02 eta: 1 day, 10:33:55 time: 0.9343 data_time: 0.0378 memory: 11089 grad_norm: 4.1748 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9944 loss: 1.9944 2022/08/03 02:57:23 - mmengine - INFO - Epoch(train) [78][860/1879] lr: 2.0000e-02 eta: 1 day, 10:33:37 time: 0.9166 data_time: 0.0282 memory: 11089 grad_norm: 4.3413 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9296 loss: 1.9296 2022/08/03 02:57:42 - mmengine - INFO - Epoch(train) [78][880/1879] lr: 2.0000e-02 eta: 1 day, 10:33:19 time: 0.9125 data_time: 0.0268 memory: 11089 grad_norm: 4.3165 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9875 loss: 1.9875 2022/08/03 02:58:00 - mmengine - INFO - Epoch(train) [78][900/1879] lr: 2.0000e-02 eta: 1 day, 10:33:01 time: 0.9144 data_time: 0.0251 memory: 11089 grad_norm: 4.3017 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9548 loss: 1.9548 2022/08/03 02:58:18 - mmengine - INFO - Epoch(train) [78][920/1879] lr: 2.0000e-02 eta: 1 day, 10:32:42 time: 0.9011 data_time: 0.0211 memory: 11089 grad_norm: 4.2139 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9178 loss: 1.9178 2022/08/03 02:58:36 - mmengine - INFO - Epoch(train) [78][940/1879] lr: 2.0000e-02 eta: 1 day, 10:32:24 time: 0.9228 data_time: 0.0290 memory: 11089 grad_norm: 4.3866 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0546 loss: 2.0546 2022/08/03 02:58:55 - mmengine - INFO - Epoch(train) [78][960/1879] lr: 2.0000e-02 eta: 1 day, 10:32:06 time: 0.9111 data_time: 0.0281 memory: 11089 grad_norm: 4.2932 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9021 loss: 1.9021 2022/08/03 02:59:13 - mmengine - INFO - Epoch(train) [78][980/1879] lr: 2.0000e-02 eta: 1 day, 10:31:47 time: 0.9057 data_time: 0.0269 memory: 11089 grad_norm: 4.2646 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9310 loss: 1.9310 2022/08/03 02:59:31 - mmengine - INFO - Epoch(train) [78][1000/1879] lr: 2.0000e-02 eta: 1 day, 10:31:29 time: 0.9135 data_time: 0.0252 memory: 11089 grad_norm: 4.2578 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7955 loss: 1.7955 2022/08/03 02:59:49 - mmengine - INFO - Epoch(train) [78][1020/1879] lr: 2.0000e-02 eta: 1 day, 10:31:11 time: 0.9186 data_time: 0.0363 memory: 11089 grad_norm: 4.2964 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8574 loss: 1.8574 2022/08/03 03:00:08 - mmengine - INFO - Epoch(train) [78][1040/1879] lr: 2.0000e-02 eta: 1 day, 10:30:53 time: 0.9186 data_time: 0.0269 memory: 11089 grad_norm: 4.2709 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8923 loss: 1.8923 2022/08/03 03:00:26 - mmengine - INFO - Epoch(train) [78][1060/1879] lr: 2.0000e-02 eta: 1 day, 10:30:35 time: 0.9289 data_time: 0.0342 memory: 11089 grad_norm: 4.2687 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7657 loss: 1.7657 2022/08/03 03:00:45 - mmengine - INFO - Epoch(train) [78][1080/1879] lr: 2.0000e-02 eta: 1 day, 10:30:18 time: 0.9553 data_time: 0.0398 memory: 11089 grad_norm: 4.2950 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8710 loss: 1.8710 2022/08/03 03:01:04 - mmengine - INFO - Epoch(train) [78][1100/1879] lr: 2.0000e-02 eta: 1 day, 10:29:59 time: 0.9096 data_time: 0.0234 memory: 11089 grad_norm: 4.2128 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8272 loss: 1.8272 2022/08/03 03:01:22 - mmengine - INFO - Epoch(train) [78][1120/1879] lr: 2.0000e-02 eta: 1 day, 10:29:41 time: 0.9218 data_time: 0.0294 memory: 11089 grad_norm: 4.1025 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0071 loss: 2.0071 2022/08/03 03:01:41 - mmengine - INFO - Epoch(train) [78][1140/1879] lr: 2.0000e-02 eta: 1 day, 10:29:23 time: 0.9405 data_time: 0.0363 memory: 11089 grad_norm: 4.1426 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8017 loss: 1.8017 2022/08/03 03:01:59 - mmengine - INFO - Epoch(train) [78][1160/1879] lr: 2.0000e-02 eta: 1 day, 10:29:05 time: 0.9050 data_time: 0.0223 memory: 11089 grad_norm: 4.2390 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 2.0851 loss: 2.0851 2022/08/03 03:02:17 - mmengine - INFO - Epoch(train) [78][1180/1879] lr: 2.0000e-02 eta: 1 day, 10:28:47 time: 0.9196 data_time: 0.0294 memory: 11089 grad_norm: 4.2061 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8400 loss: 1.8400 2022/08/03 03:02:36 - mmengine - INFO - Epoch(train) [78][1200/1879] lr: 2.0000e-02 eta: 1 day, 10:28:29 time: 0.9087 data_time: 0.0219 memory: 11089 grad_norm: 4.2012 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0281 loss: 2.0281 2022/08/03 03:02:54 - mmengine - INFO - Epoch(train) [78][1220/1879] lr: 2.0000e-02 eta: 1 day, 10:28:10 time: 0.9084 data_time: 0.0240 memory: 11089 grad_norm: 4.1469 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0475 loss: 2.0475 2022/08/03 03:03:12 - mmengine - INFO - Epoch(train) [78][1240/1879] lr: 2.0000e-02 eta: 1 day, 10:27:52 time: 0.9170 data_time: 0.0284 memory: 11089 grad_norm: 4.1710 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9636 loss: 1.9636 2022/08/03 03:03:30 - mmengine - INFO - Epoch(train) [78][1260/1879] lr: 2.0000e-02 eta: 1 day, 10:27:34 time: 0.9052 data_time: 0.0240 memory: 11089 grad_norm: 4.1863 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0380 loss: 2.0380 2022/08/03 03:03:48 - mmengine - INFO - Epoch(train) [78][1280/1879] lr: 2.0000e-02 eta: 1 day, 10:27:15 time: 0.9054 data_time: 0.0238 memory: 11089 grad_norm: 4.0719 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9030 loss: 1.9030 2022/08/03 03:04:07 - mmengine - INFO - Epoch(train) [78][1300/1879] lr: 2.0000e-02 eta: 1 day, 10:26:57 time: 0.9168 data_time: 0.0292 memory: 11089 grad_norm: 4.1002 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7818 loss: 1.7818 2022/08/03 03:04:22 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 03:04:25 - mmengine - INFO - Epoch(train) [78][1320/1879] lr: 2.0000e-02 eta: 1 day, 10:26:39 time: 0.9084 data_time: 0.0313 memory: 11089 grad_norm: 4.1312 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8264 loss: 1.8264 2022/08/03 03:04:43 - mmengine - INFO - Epoch(train) [78][1340/1879] lr: 2.0000e-02 eta: 1 day, 10:26:21 time: 0.9246 data_time: 0.0253 memory: 11089 grad_norm: 4.2662 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9148 loss: 1.9148 2022/08/03 03:05:02 - mmengine - INFO - Epoch(train) [78][1360/1879] lr: 2.0000e-02 eta: 1 day, 10:26:03 time: 0.9203 data_time: 0.0227 memory: 11089 grad_norm: 4.2571 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0633 loss: 2.0633 2022/08/03 03:05:20 - mmengine - INFO - Epoch(train) [78][1380/1879] lr: 2.0000e-02 eta: 1 day, 10:25:44 time: 0.9224 data_time: 0.0324 memory: 11089 grad_norm: 4.0963 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8596 loss: 1.8596 2022/08/03 03:05:38 - mmengine - INFO - Epoch(train) [78][1400/1879] lr: 2.0000e-02 eta: 1 day, 10:25:26 time: 0.9155 data_time: 0.0260 memory: 11089 grad_norm: 4.1919 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8693 loss: 1.8693 2022/08/03 03:05:56 - mmengine - INFO - Epoch(train) [78][1420/1879] lr: 2.0000e-02 eta: 1 day, 10:25:08 time: 0.8997 data_time: 0.0279 memory: 11089 grad_norm: 4.1592 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8853 loss: 1.8853 2022/08/03 03:06:15 - mmengine - INFO - Epoch(train) [78][1440/1879] lr: 2.0000e-02 eta: 1 day, 10:24:50 time: 0.9256 data_time: 0.0256 memory: 11089 grad_norm: 4.2239 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9947 loss: 1.9947 2022/08/03 03:06:33 - mmengine - INFO - Epoch(train) [78][1460/1879] lr: 2.0000e-02 eta: 1 day, 10:24:31 time: 0.9125 data_time: 0.0270 memory: 11089 grad_norm: 4.1311 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7782 loss: 1.7782 2022/08/03 03:06:52 - mmengine - INFO - Epoch(train) [78][1480/1879] lr: 2.0000e-02 eta: 1 day, 10:24:13 time: 0.9180 data_time: 0.0277 memory: 11089 grad_norm: 4.2362 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0121 loss: 2.0121 2022/08/03 03:07:10 - mmengine - INFO - Epoch(train) [78][1500/1879] lr: 2.0000e-02 eta: 1 day, 10:23:55 time: 0.9086 data_time: 0.0252 memory: 11089 grad_norm: 4.1437 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0297 loss: 2.0297 2022/08/03 03:07:28 - mmengine - INFO - Epoch(train) [78][1520/1879] lr: 2.0000e-02 eta: 1 day, 10:23:37 time: 0.9017 data_time: 0.0227 memory: 11089 grad_norm: 4.2386 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0374 loss: 2.0374 2022/08/03 03:07:46 - mmengine - INFO - Epoch(train) [78][1540/1879] lr: 2.0000e-02 eta: 1 day, 10:23:18 time: 0.9216 data_time: 0.0274 memory: 11089 grad_norm: 4.2540 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8542 loss: 1.8542 2022/08/03 03:08:05 - mmengine - INFO - Epoch(train) [78][1560/1879] lr: 2.0000e-02 eta: 1 day, 10:23:00 time: 0.9200 data_time: 0.0226 memory: 11089 grad_norm: 4.2729 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7990 loss: 1.7990 2022/08/03 03:08:23 - mmengine - INFO - Epoch(train) [78][1580/1879] lr: 2.0000e-02 eta: 1 day, 10:22:42 time: 0.9306 data_time: 0.0255 memory: 11089 grad_norm: 4.1818 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9525 loss: 1.9525 2022/08/03 03:08:42 - mmengine - INFO - Epoch(train) [78][1600/1879] lr: 2.0000e-02 eta: 1 day, 10:22:24 time: 0.9197 data_time: 0.0274 memory: 11089 grad_norm: 4.1994 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8373 loss: 1.8373 2022/08/03 03:09:00 - mmengine - INFO - Epoch(train) [78][1620/1879] lr: 2.0000e-02 eta: 1 day, 10:22:06 time: 0.9103 data_time: 0.0267 memory: 11089 grad_norm: 4.2449 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9138 loss: 1.9138 2022/08/03 03:09:18 - mmengine - INFO - Epoch(train) [78][1640/1879] lr: 2.0000e-02 eta: 1 day, 10:21:47 time: 0.9012 data_time: 0.0266 memory: 11089 grad_norm: 4.1318 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7433 loss: 1.7433 2022/08/03 03:09:37 - mmengine - INFO - Epoch(train) [78][1660/1879] lr: 2.0000e-02 eta: 1 day, 10:21:30 time: 0.9382 data_time: 0.0324 memory: 11089 grad_norm: 4.2609 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9895 loss: 1.9895 2022/08/03 03:09:55 - mmengine - INFO - Epoch(train) [78][1680/1879] lr: 2.0000e-02 eta: 1 day, 10:21:11 time: 0.9005 data_time: 0.0252 memory: 11089 grad_norm: 4.2530 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9059 loss: 1.9059 2022/08/03 03:10:13 - mmengine - INFO - Epoch(train) [78][1700/1879] lr: 2.0000e-02 eta: 1 day, 10:20:53 time: 0.9056 data_time: 0.0244 memory: 11089 grad_norm: 4.1869 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0192 loss: 2.0192 2022/08/03 03:10:31 - mmengine - INFO - Epoch(train) [78][1720/1879] lr: 2.0000e-02 eta: 1 day, 10:20:35 time: 0.9259 data_time: 0.0277 memory: 11089 grad_norm: 4.1622 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8574 loss: 1.8574 2022/08/03 03:10:50 - mmengine - INFO - Epoch(train) [78][1740/1879] lr: 2.0000e-02 eta: 1 day, 10:20:17 time: 0.9184 data_time: 0.0313 memory: 11089 grad_norm: 4.1706 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8253 loss: 1.8253 2022/08/03 03:11:08 - mmengine - INFO - Epoch(train) [78][1760/1879] lr: 2.0000e-02 eta: 1 day, 10:19:59 time: 0.9275 data_time: 0.0297 memory: 11089 grad_norm: 4.2295 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0635 loss: 2.0635 2022/08/03 03:11:27 - mmengine - INFO - Epoch(train) [78][1780/1879] lr: 2.0000e-02 eta: 1 day, 10:19:40 time: 0.9112 data_time: 0.0257 memory: 11089 grad_norm: 4.1543 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8248 loss: 1.8248 2022/08/03 03:11:45 - mmengine - INFO - Epoch(train) [78][1800/1879] lr: 2.0000e-02 eta: 1 day, 10:19:22 time: 0.9017 data_time: 0.0243 memory: 11089 grad_norm: 4.2010 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7967 loss: 1.7967 2022/08/03 03:12:03 - mmengine - INFO - Epoch(train) [78][1820/1879] lr: 2.0000e-02 eta: 1 day, 10:19:04 time: 0.9368 data_time: 0.0337 memory: 11089 grad_norm: 4.2728 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0318 loss: 2.0318 2022/08/03 03:12:21 - mmengine - INFO - Epoch(train) [78][1840/1879] lr: 2.0000e-02 eta: 1 day, 10:18:46 time: 0.9103 data_time: 0.0283 memory: 11089 grad_norm: 4.1443 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1740 loss: 2.1740 2022/08/03 03:12:40 - mmengine - INFO - Epoch(train) [78][1860/1879] lr: 2.0000e-02 eta: 1 day, 10:18:28 time: 0.9150 data_time: 0.0223 memory: 11089 grad_norm: 4.1773 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9547 loss: 1.9547 2022/08/03 03:12:57 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 03:12:57 - mmengine - INFO - Epoch(train) [78][1879/1879] lr: 2.0000e-02 eta: 1 day, 10:18:28 time: 0.8884 data_time: 0.0220 memory: 11089 grad_norm: 4.2132 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.9463 loss: 1.9463 2022/08/03 03:13:17 - mmengine - INFO - Epoch(train) [79][20/1879] lr: 2.0000e-02 eta: 1 day, 10:17:38 time: 0.9999 data_time: 0.1161 memory: 11089 grad_norm: 4.1547 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8767 loss: 1.8767 2022/08/03 03:13:35 - mmengine - INFO - Epoch(train) [79][40/1879] lr: 2.0000e-02 eta: 1 day, 10:17:19 time: 0.9095 data_time: 0.0260 memory: 11089 grad_norm: 4.0971 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9429 loss: 1.9429 2022/08/03 03:13:53 - mmengine - INFO - Epoch(train) [79][60/1879] lr: 2.0000e-02 eta: 1 day, 10:17:01 time: 0.9118 data_time: 0.0260 memory: 11089 grad_norm: 4.1773 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8218 loss: 1.8218 2022/08/03 03:14:11 - mmengine - INFO - Epoch(train) [79][80/1879] lr: 2.0000e-02 eta: 1 day, 10:16:43 time: 0.9023 data_time: 0.0250 memory: 11089 grad_norm: 4.1301 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9795 loss: 1.9795 2022/08/03 03:14:29 - mmengine - INFO - Epoch(train) [79][100/1879] lr: 2.0000e-02 eta: 1 day, 10:16:24 time: 0.9051 data_time: 0.0225 memory: 11089 grad_norm: 4.2046 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7136 loss: 1.7136 2022/08/03 03:14:48 - mmengine - INFO - Epoch(train) [79][120/1879] lr: 2.0000e-02 eta: 1 day, 10:16:06 time: 0.9125 data_time: 0.0354 memory: 11089 grad_norm: 4.1536 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9815 loss: 1.9815 2022/08/03 03:15:06 - mmengine - INFO - Epoch(train) [79][140/1879] lr: 2.0000e-02 eta: 1 day, 10:15:48 time: 0.9271 data_time: 0.0329 memory: 11089 grad_norm: 4.1893 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8744 loss: 1.8744 2022/08/03 03:15:25 - mmengine - INFO - Epoch(train) [79][160/1879] lr: 2.0000e-02 eta: 1 day, 10:15:30 time: 0.9351 data_time: 0.0327 memory: 11089 grad_norm: 4.0513 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6938 loss: 1.6938 2022/08/03 03:15:43 - mmengine - INFO - Epoch(train) [79][180/1879] lr: 2.0000e-02 eta: 1 day, 10:15:12 time: 0.9170 data_time: 0.0279 memory: 11089 grad_norm: 4.1128 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9793 loss: 1.9793 2022/08/03 03:16:02 - mmengine - INFO - Epoch(train) [79][200/1879] lr: 2.0000e-02 eta: 1 day, 10:14:54 time: 0.9136 data_time: 0.0236 memory: 11089 grad_norm: 4.0995 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9057 loss: 1.9057 2022/08/03 03:16:20 - mmengine - INFO - Epoch(train) [79][220/1879] lr: 2.0000e-02 eta: 1 day, 10:14:35 time: 0.9058 data_time: 0.0232 memory: 11089 grad_norm: 4.1529 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0105 loss: 2.0105 2022/08/03 03:16:38 - mmengine - INFO - Epoch(train) [79][240/1879] lr: 2.0000e-02 eta: 1 day, 10:14:17 time: 0.9254 data_time: 0.0264 memory: 11089 grad_norm: 4.0989 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7781 loss: 1.7781 2022/08/03 03:16:56 - mmengine - INFO - Epoch(train) [79][260/1879] lr: 2.0000e-02 eta: 1 day, 10:13:59 time: 0.9050 data_time: 0.0218 memory: 11089 grad_norm: 4.2277 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7945 loss: 1.7945 2022/08/03 03:17:15 - mmengine - INFO - Epoch(train) [79][280/1879] lr: 2.0000e-02 eta: 1 day, 10:13:41 time: 0.9128 data_time: 0.0319 memory: 11089 grad_norm: 4.1760 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9313 loss: 1.9313 2022/08/03 03:17:33 - mmengine - INFO - Epoch(train) [79][300/1879] lr: 2.0000e-02 eta: 1 day, 10:13:22 time: 0.9030 data_time: 0.0228 memory: 11089 grad_norm: 4.1748 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8470 loss: 1.8470 2022/08/03 03:17:51 - mmengine - INFO - Epoch(train) [79][320/1879] lr: 2.0000e-02 eta: 1 day, 10:13:04 time: 0.9020 data_time: 0.0288 memory: 11089 grad_norm: 4.2574 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1675 loss: 2.1675 2022/08/03 03:18:09 - mmengine - INFO - Epoch(train) [79][340/1879] lr: 2.0000e-02 eta: 1 day, 10:12:45 time: 0.9132 data_time: 0.0360 memory: 11089 grad_norm: 4.2831 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9353 loss: 1.9353 2022/08/03 03:18:27 - mmengine - INFO - Epoch(train) [79][360/1879] lr: 2.0000e-02 eta: 1 day, 10:12:27 time: 0.9207 data_time: 0.0264 memory: 11089 grad_norm: 4.2423 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9155 loss: 1.9155 2022/08/03 03:18:45 - mmengine - INFO - Epoch(train) [79][380/1879] lr: 2.0000e-02 eta: 1 day, 10:12:09 time: 0.8980 data_time: 0.0236 memory: 11089 grad_norm: 4.1171 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9283 loss: 1.9283 2022/08/03 03:19:04 - mmengine - INFO - Epoch(train) [79][400/1879] lr: 2.0000e-02 eta: 1 day, 10:11:51 time: 0.9133 data_time: 0.0310 memory: 11089 grad_norm: 4.2320 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9179 loss: 1.9179 2022/08/03 03:19:22 - mmengine - INFO - Epoch(train) [79][420/1879] lr: 2.0000e-02 eta: 1 day, 10:11:32 time: 0.9135 data_time: 0.0256 memory: 11089 grad_norm: 4.2164 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8869 loss: 1.8869 2022/08/03 03:19:38 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 03:19:40 - mmengine - INFO - Epoch(train) [79][440/1879] lr: 2.0000e-02 eta: 1 day, 10:11:14 time: 0.9136 data_time: 0.0227 memory: 11089 grad_norm: 4.2060 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5467 loss: 1.5467 2022/08/03 03:19:58 - mmengine - INFO - Epoch(train) [79][460/1879] lr: 2.0000e-02 eta: 1 day, 10:10:56 time: 0.9178 data_time: 0.0313 memory: 11089 grad_norm: 4.2301 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9122 loss: 1.9122 2022/08/03 03:20:17 - mmengine - INFO - Epoch(train) [79][480/1879] lr: 2.0000e-02 eta: 1 day, 10:10:38 time: 0.9292 data_time: 0.0271 memory: 11089 grad_norm: 4.1986 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0558 loss: 2.0558 2022/08/03 03:20:35 - mmengine - INFO - Epoch(train) [79][500/1879] lr: 2.0000e-02 eta: 1 day, 10:10:20 time: 0.9174 data_time: 0.0305 memory: 11089 grad_norm: 4.1926 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.8176 loss: 1.8176 2022/08/03 03:20:54 - mmengine - INFO - Epoch(train) [79][520/1879] lr: 2.0000e-02 eta: 1 day, 10:10:02 time: 0.9286 data_time: 0.0267 memory: 11089 grad_norm: 4.1010 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7848 loss: 1.7848 2022/08/03 03:21:12 - mmengine - INFO - Epoch(train) [79][540/1879] lr: 2.0000e-02 eta: 1 day, 10:09:44 time: 0.9220 data_time: 0.0309 memory: 11089 grad_norm: 4.1043 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9736 loss: 1.9736 2022/08/03 03:21:31 - mmengine - INFO - Epoch(train) [79][560/1879] lr: 2.0000e-02 eta: 1 day, 10:09:26 time: 0.9186 data_time: 0.0273 memory: 11089 grad_norm: 4.1139 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9638 loss: 1.9638 2022/08/03 03:21:49 - mmengine - INFO - Epoch(train) [79][580/1879] lr: 2.0000e-02 eta: 1 day, 10:09:08 time: 0.9220 data_time: 0.0325 memory: 11089 grad_norm: 4.1260 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9876 loss: 1.9876 2022/08/03 03:22:08 - mmengine - INFO - Epoch(train) [79][600/1879] lr: 2.0000e-02 eta: 1 day, 10:08:49 time: 0.9156 data_time: 0.0301 memory: 11089 grad_norm: 4.2404 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1521 loss: 2.1521 2022/08/03 03:22:26 - mmengine - INFO - Epoch(train) [79][620/1879] lr: 2.0000e-02 eta: 1 day, 10:08:31 time: 0.9125 data_time: 0.0200 memory: 11089 grad_norm: 4.2242 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0720 loss: 2.0720 2022/08/03 03:22:44 - mmengine - INFO - Epoch(train) [79][640/1879] lr: 2.0000e-02 eta: 1 day, 10:08:13 time: 0.9080 data_time: 0.0233 memory: 11089 grad_norm: 4.1738 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0435 loss: 2.0435 2022/08/03 03:23:02 - mmengine - INFO - Epoch(train) [79][660/1879] lr: 2.0000e-02 eta: 1 day, 10:07:54 time: 0.9041 data_time: 0.0201 memory: 11089 grad_norm: 4.2005 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8764 loss: 1.8764 2022/08/03 03:23:20 - mmengine - INFO - Epoch(train) [79][680/1879] lr: 2.0000e-02 eta: 1 day, 10:07:36 time: 0.9182 data_time: 0.0235 memory: 11089 grad_norm: 4.2349 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0393 loss: 2.0393 2022/08/03 03:23:39 - mmengine - INFO - Epoch(train) [79][700/1879] lr: 2.0000e-02 eta: 1 day, 10:07:18 time: 0.9187 data_time: 0.0273 memory: 11089 grad_norm: 4.2289 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9841 loss: 1.9841 2022/08/03 03:23:57 - mmengine - INFO - Epoch(train) [79][720/1879] lr: 2.0000e-02 eta: 1 day, 10:07:00 time: 0.8996 data_time: 0.0242 memory: 11089 grad_norm: 4.1838 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0876 loss: 2.0876 2022/08/03 03:24:15 - mmengine - INFO - Epoch(train) [79][740/1879] lr: 2.0000e-02 eta: 1 day, 10:06:41 time: 0.9087 data_time: 0.0221 memory: 11089 grad_norm: 4.2158 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9977 loss: 1.9977 2022/08/03 03:24:33 - mmengine - INFO - Epoch(train) [79][760/1879] lr: 2.0000e-02 eta: 1 day, 10:06:23 time: 0.9087 data_time: 0.0212 memory: 11089 grad_norm: 4.2283 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0534 loss: 2.0534 2022/08/03 03:24:51 - mmengine - INFO - Epoch(train) [79][780/1879] lr: 2.0000e-02 eta: 1 day, 10:06:05 time: 0.9115 data_time: 0.0335 memory: 11089 grad_norm: 4.3139 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9721 loss: 1.9721 2022/08/03 03:25:10 - mmengine - INFO - Epoch(train) [79][800/1879] lr: 2.0000e-02 eta: 1 day, 10:05:46 time: 0.9099 data_time: 0.0236 memory: 11089 grad_norm: 4.2827 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8901 loss: 1.8901 2022/08/03 03:25:28 - mmengine - INFO - Epoch(train) [79][820/1879] lr: 2.0000e-02 eta: 1 day, 10:05:28 time: 0.8988 data_time: 0.0248 memory: 11089 grad_norm: 4.2987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7454 loss: 1.7454 2022/08/03 03:25:46 - mmengine - INFO - Epoch(train) [79][840/1879] lr: 2.0000e-02 eta: 1 day, 10:05:10 time: 0.9319 data_time: 0.0331 memory: 11089 grad_norm: 4.4053 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8733 loss: 1.8733 2022/08/03 03:26:05 - mmengine - INFO - Epoch(train) [79][860/1879] lr: 2.0000e-02 eta: 1 day, 10:04:52 time: 0.9284 data_time: 0.0285 memory: 11089 grad_norm: 4.2903 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9562 loss: 1.9562 2022/08/03 03:26:23 - mmengine - INFO - Epoch(train) [79][880/1879] lr: 2.0000e-02 eta: 1 day, 10:04:34 time: 0.9261 data_time: 0.0297 memory: 11089 grad_norm: 4.2586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9428 loss: 1.9428 2022/08/03 03:26:41 - mmengine - INFO - Epoch(train) [79][900/1879] lr: 2.0000e-02 eta: 1 day, 10:04:16 time: 0.9070 data_time: 0.0229 memory: 11089 grad_norm: 4.2035 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9513 loss: 1.9513 2022/08/03 03:27:00 - mmengine - INFO - Epoch(train) [79][920/1879] lr: 2.0000e-02 eta: 1 day, 10:03:57 time: 0.9171 data_time: 0.0231 memory: 11089 grad_norm: 4.0881 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7664 loss: 1.7664 2022/08/03 03:27:18 - mmengine - INFO - Epoch(train) [79][940/1879] lr: 2.0000e-02 eta: 1 day, 10:03:39 time: 0.9046 data_time: 0.0226 memory: 11089 grad_norm: 4.1446 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8018 loss: 1.8018 2022/08/03 03:27:36 - mmengine - INFO - Epoch(train) [79][960/1879] lr: 2.0000e-02 eta: 1 day, 10:03:21 time: 0.9138 data_time: 0.0232 memory: 11089 grad_norm: 4.2832 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8535 loss: 1.8535 2022/08/03 03:27:54 - mmengine - INFO - Epoch(train) [79][980/1879] lr: 2.0000e-02 eta: 1 day, 10:03:03 time: 0.9106 data_time: 0.0279 memory: 11089 grad_norm: 4.1827 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9796 loss: 1.9796 2022/08/03 03:28:13 - mmengine - INFO - Epoch(train) [79][1000/1879] lr: 2.0000e-02 eta: 1 day, 10:02:44 time: 0.9129 data_time: 0.0339 memory: 11089 grad_norm: 4.2330 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1457 loss: 2.1457 2022/08/03 03:28:31 - mmengine - INFO - Epoch(train) [79][1020/1879] lr: 2.0000e-02 eta: 1 day, 10:02:26 time: 0.9157 data_time: 0.0240 memory: 11089 grad_norm: 4.1004 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9751 loss: 1.9751 2022/08/03 03:28:49 - mmengine - INFO - Epoch(train) [79][1040/1879] lr: 2.0000e-02 eta: 1 day, 10:02:08 time: 0.9026 data_time: 0.0272 memory: 11089 grad_norm: 4.2061 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8493 loss: 1.8493 2022/08/03 03:29:08 - mmengine - INFO - Epoch(train) [79][1060/1879] lr: 2.0000e-02 eta: 1 day, 10:01:50 time: 0.9736 data_time: 0.0309 memory: 11089 grad_norm: 4.2434 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0053 loss: 2.0053 2022/08/03 03:29:27 - mmengine - INFO - Epoch(train) [79][1080/1879] lr: 2.0000e-02 eta: 1 day, 10:01:32 time: 0.9043 data_time: 0.0272 memory: 11089 grad_norm: 4.2444 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0034 loss: 2.0034 2022/08/03 03:29:45 - mmengine - INFO - Epoch(train) [79][1100/1879] lr: 2.0000e-02 eta: 1 day, 10:01:14 time: 0.9000 data_time: 0.0262 memory: 11089 grad_norm: 4.1636 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9991 loss: 1.9991 2022/08/03 03:30:04 - mmengine - INFO - Epoch(train) [79][1120/1879] lr: 2.0000e-02 eta: 1 day, 10:00:56 time: 0.9575 data_time: 0.0286 memory: 11089 grad_norm: 4.2922 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8838 loss: 1.8838 2022/08/03 03:30:22 - mmengine - INFO - Epoch(train) [79][1140/1879] lr: 2.0000e-02 eta: 1 day, 10:00:38 time: 0.8983 data_time: 0.0217 memory: 11089 grad_norm: 4.2059 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0756 loss: 2.0756 2022/08/03 03:30:40 - mmengine - INFO - Epoch(train) [79][1160/1879] lr: 2.0000e-02 eta: 1 day, 10:00:20 time: 0.9228 data_time: 0.0200 memory: 11089 grad_norm: 4.2309 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8022 loss: 1.8022 2022/08/03 03:30:58 - mmengine - INFO - Epoch(train) [79][1180/1879] lr: 2.0000e-02 eta: 1 day, 10:00:01 time: 0.9039 data_time: 0.0247 memory: 11089 grad_norm: 4.3802 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9474 loss: 1.9474 2022/08/03 03:31:17 - mmengine - INFO - Epoch(train) [79][1200/1879] lr: 2.0000e-02 eta: 1 day, 9:59:43 time: 0.9227 data_time: 0.0357 memory: 11089 grad_norm: 4.1378 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8218 loss: 1.8218 2022/08/03 03:31:36 - mmengine - INFO - Epoch(train) [79][1220/1879] lr: 2.0000e-02 eta: 1 day, 9:59:26 time: 0.9640 data_time: 0.0303 memory: 11089 grad_norm: 4.1954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8452 loss: 1.8452 2022/08/03 03:31:55 - mmengine - INFO - Epoch(train) [79][1240/1879] lr: 2.0000e-02 eta: 1 day, 9:59:08 time: 0.9242 data_time: 0.0313 memory: 11089 grad_norm: 4.2404 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8410 loss: 1.8410 2022/08/03 03:32:14 - mmengine - INFO - Epoch(train) [79][1260/1879] lr: 2.0000e-02 eta: 1 day, 9:58:50 time: 0.9609 data_time: 0.0359 memory: 11089 grad_norm: 4.2289 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2064 loss: 2.2064 2022/08/03 03:32:34 - mmengine - INFO - Epoch(train) [79][1280/1879] lr: 2.0000e-02 eta: 1 day, 9:58:34 time: 1.0134 data_time: 0.0331 memory: 11089 grad_norm: 4.1037 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9670 loss: 1.9670 2022/08/03 03:32:53 - mmengine - INFO - Epoch(train) [79][1300/1879] lr: 2.0000e-02 eta: 1 day, 9:58:16 time: 0.9261 data_time: 0.0245 memory: 11089 grad_norm: 4.2201 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9275 loss: 1.9275 2022/08/03 03:33:11 - mmengine - INFO - Epoch(train) [79][1320/1879] lr: 2.0000e-02 eta: 1 day, 9:57:58 time: 0.9106 data_time: 0.0212 memory: 11089 grad_norm: 4.2049 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9571 loss: 1.9571 2022/08/03 03:33:30 - mmengine - INFO - Epoch(train) [79][1340/1879] lr: 2.0000e-02 eta: 1 day, 9:57:40 time: 0.9555 data_time: 0.0239 memory: 11089 grad_norm: 4.1801 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1056 loss: 2.1056 2022/08/03 03:33:48 - mmengine - INFO - Epoch(train) [79][1360/1879] lr: 2.0000e-02 eta: 1 day, 9:57:22 time: 0.9194 data_time: 0.0307 memory: 11089 grad_norm: 4.2061 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8898 loss: 1.8898 2022/08/03 03:34:06 - mmengine - INFO - Epoch(train) [79][1380/1879] lr: 2.0000e-02 eta: 1 day, 9:57:04 time: 0.9087 data_time: 0.0373 memory: 11089 grad_norm: 4.2757 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8981 loss: 1.8981 2022/08/03 03:34:25 - mmengine - INFO - Epoch(train) [79][1400/1879] lr: 2.0000e-02 eta: 1 day, 9:56:46 time: 0.9291 data_time: 0.0262 memory: 11089 grad_norm: 4.2038 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8450 loss: 1.8450 2022/08/03 03:34:45 - mmengine - INFO - Epoch(train) [79][1420/1879] lr: 2.0000e-02 eta: 1 day, 9:56:29 time: 0.9807 data_time: 0.0301 memory: 11089 grad_norm: 4.0515 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8153 loss: 1.8153 2022/08/03 03:35:12 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 03:35:14 - mmengine - INFO - Epoch(train) [79][1440/1879] lr: 2.0000e-02 eta: 1 day, 9:56:20 time: 1.4409 data_time: 0.0510 memory: 11089 grad_norm: 4.2736 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9822 loss: 1.9822 2022/08/03 03:35:36 - mmengine - INFO - Epoch(train) [79][1460/1879] lr: 2.0000e-02 eta: 1 day, 9:56:06 time: 1.1384 data_time: 0.0352 memory: 11089 grad_norm: 4.1757 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8385 loss: 1.8385 2022/08/03 03:36:08 - mmengine - INFO - Epoch(train) [79][1480/1879] lr: 2.0000e-02 eta: 1 day, 9:56:00 time: 1.5933 data_time: 0.1103 memory: 11089 grad_norm: 4.1971 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8290 loss: 1.8290 2022/08/03 03:36:29 - mmengine - INFO - Epoch(train) [79][1500/1879] lr: 2.0000e-02 eta: 1 day, 9:55:44 time: 1.0480 data_time: 0.0254 memory: 11089 grad_norm: 4.1444 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8618 loss: 1.8618 2022/08/03 03:36:52 - mmengine - INFO - Epoch(train) [79][1520/1879] lr: 2.0000e-02 eta: 1 day, 9:55:30 time: 1.1355 data_time: 0.0378 memory: 11089 grad_norm: 4.1024 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8812 loss: 1.8812 2022/08/03 03:37:11 - mmengine - INFO - Epoch(train) [79][1540/1879] lr: 2.0000e-02 eta: 1 day, 9:55:13 time: 0.9864 data_time: 0.0293 memory: 11089 grad_norm: 4.0674 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8646 loss: 1.8646 2022/08/03 03:37:35 - mmengine - INFO - Epoch(train) [79][1560/1879] lr: 2.0000e-02 eta: 1 day, 9:54:59 time: 1.1780 data_time: 0.0534 memory: 11089 grad_norm: 4.3123 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9241 loss: 1.9241 2022/08/03 03:37:54 - mmengine - INFO - Epoch(train) [79][1580/1879] lr: 2.0000e-02 eta: 1 day, 9:54:42 time: 0.9711 data_time: 0.0416 memory: 11089 grad_norm: 4.1418 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7415 loss: 1.7415 2022/08/03 03:38:14 - mmengine - INFO - Epoch(train) [79][1600/1879] lr: 2.0000e-02 eta: 1 day, 9:54:24 time: 0.9473 data_time: 0.0261 memory: 11089 grad_norm: 4.2122 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7559 loss: 1.7559 2022/08/03 03:38:32 - mmengine - INFO - Epoch(train) [79][1620/1879] lr: 2.0000e-02 eta: 1 day, 9:54:07 time: 0.9445 data_time: 0.0300 memory: 11089 grad_norm: 4.1097 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1430 loss: 2.1430 2022/08/03 03:38:55 - mmengine - INFO - Epoch(train) [79][1640/1879] lr: 2.0000e-02 eta: 1 day, 9:53:52 time: 1.1052 data_time: 0.0291 memory: 11089 grad_norm: 4.1791 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8870 loss: 1.8870 2022/08/03 03:39:15 - mmengine - INFO - Epoch(train) [79][1660/1879] lr: 2.0000e-02 eta: 1 day, 9:53:36 time: 1.0489 data_time: 0.0337 memory: 11089 grad_norm: 4.2424 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9186 loss: 1.9186 2022/08/03 03:39:34 - mmengine - INFO - Epoch(train) [79][1680/1879] lr: 2.0000e-02 eta: 1 day, 9:53:18 time: 0.9276 data_time: 0.0263 memory: 11089 grad_norm: 4.2283 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.0418 loss: 2.0418 2022/08/03 03:39:55 - mmengine - INFO - Epoch(train) [79][1700/1879] lr: 2.0000e-02 eta: 1 day, 9:53:02 time: 1.0557 data_time: 0.0284 memory: 11089 grad_norm: 4.2087 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9740 loss: 1.9740 2022/08/03 03:40:13 - mmengine - INFO - Epoch(train) [79][1720/1879] lr: 2.0000e-02 eta: 1 day, 9:52:44 time: 0.8981 data_time: 0.0256 memory: 11089 grad_norm: 4.2986 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9064 loss: 1.9064 2022/08/03 03:40:32 - mmengine - INFO - Epoch(train) [79][1740/1879] lr: 2.0000e-02 eta: 1 day, 9:52:26 time: 0.9389 data_time: 0.0393 memory: 11089 grad_norm: 4.2617 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9135 loss: 1.9135 2022/08/03 03:40:55 - mmengine - INFO - Epoch(train) [79][1760/1879] lr: 2.0000e-02 eta: 1 day, 9:52:12 time: 1.1486 data_time: 0.0473 memory: 11089 grad_norm: 4.2558 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.1001 loss: 2.1001 2022/08/03 03:41:16 - mmengine - INFO - Epoch(train) [79][1780/1879] lr: 2.0000e-02 eta: 1 day, 9:51:57 time: 1.0598 data_time: 0.0283 memory: 11089 grad_norm: 4.2112 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0193 loss: 2.0193 2022/08/03 03:41:39 - mmengine - INFO - Epoch(train) [79][1800/1879] lr: 2.0000e-02 eta: 1 day, 9:51:42 time: 1.1278 data_time: 0.0261 memory: 11089 grad_norm: 4.1451 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0579 loss: 2.0579 2022/08/03 03:41:58 - mmengine - INFO - Epoch(train) [79][1820/1879] lr: 2.0000e-02 eta: 1 day, 9:51:25 time: 0.9558 data_time: 0.0362 memory: 11089 grad_norm: 4.1915 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9448 loss: 1.9448 2022/08/03 03:42:17 - mmengine - INFO - Epoch(train) [79][1840/1879] lr: 2.0000e-02 eta: 1 day, 9:51:08 time: 0.9823 data_time: 0.0296 memory: 11089 grad_norm: 4.2116 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8592 loss: 1.8592 2022/08/03 03:42:45 - mmengine - INFO - Epoch(train) [79][1860/1879] lr: 2.0000e-02 eta: 1 day, 9:50:57 time: 1.3571 data_time: 0.0605 memory: 11089 grad_norm: 4.2522 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0726 loss: 2.0726 2022/08/03 03:43:02 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 03:43:02 - mmengine - INFO - Epoch(train) [79][1879/1879] lr: 2.0000e-02 eta: 1 day, 9:50:57 time: 1.2437 data_time: 0.0776 memory: 11089 grad_norm: 4.2892 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.1598 loss: 2.1598 2022/08/03 03:43:28 - mmengine - INFO - Epoch(train) [80][20/1879] lr: 2.0000e-02 eta: 1 day, 9:50:14 time: 1.3382 data_time: 0.3552 memory: 11089 grad_norm: 4.2311 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8423 loss: 1.8423 2022/08/03 03:43:48 - mmengine - INFO - Epoch(train) [80][40/1879] lr: 2.0000e-02 eta: 1 day, 9:49:56 time: 0.9558 data_time: 0.0290 memory: 11089 grad_norm: 4.1802 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8538 loss: 1.8538 2022/08/03 03:44:07 - mmengine - INFO - Epoch(train) [80][60/1879] lr: 2.0000e-02 eta: 1 day, 9:49:39 time: 0.9786 data_time: 0.0259 memory: 11089 grad_norm: 4.1381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9197 loss: 1.9197 2022/08/03 03:44:26 - mmengine - INFO - Epoch(train) [80][80/1879] lr: 2.0000e-02 eta: 1 day, 9:49:21 time: 0.9408 data_time: 0.0257 memory: 11089 grad_norm: 4.1545 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1390 loss: 2.1390 2022/08/03 03:44:44 - mmengine - INFO - Epoch(train) [80][100/1879] lr: 2.0000e-02 eta: 1 day, 9:49:03 time: 0.9074 data_time: 0.0267 memory: 11089 grad_norm: 4.3619 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8666 loss: 1.8666 2022/08/03 03:45:03 - mmengine - INFO - Epoch(train) [80][120/1879] lr: 2.0000e-02 eta: 1 day, 9:48:45 time: 0.9324 data_time: 0.0274 memory: 11089 grad_norm: 4.2214 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7821 loss: 1.7821 2022/08/03 03:45:21 - mmengine - INFO - Epoch(train) [80][140/1879] lr: 2.0000e-02 eta: 1 day, 9:48:27 time: 0.9045 data_time: 0.0247 memory: 11089 grad_norm: 4.2564 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7661 loss: 1.7661 2022/08/03 03:45:39 - mmengine - INFO - Epoch(train) [80][160/1879] lr: 2.0000e-02 eta: 1 day, 9:48:08 time: 0.9129 data_time: 0.0307 memory: 11089 grad_norm: 4.1560 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7559 loss: 1.7559 2022/08/03 03:45:57 - mmengine - INFO - Epoch(train) [80][180/1879] lr: 2.0000e-02 eta: 1 day, 9:47:50 time: 0.8802 data_time: 0.0278 memory: 11089 grad_norm: 4.1334 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7267 loss: 1.7267 2022/08/03 03:46:19 - mmengine - INFO - Epoch(train) [80][200/1879] lr: 2.0000e-02 eta: 1 day, 9:47:34 time: 1.0895 data_time: 0.0509 memory: 11089 grad_norm: 4.2404 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9500 loss: 1.9500 2022/08/03 03:46:40 - mmengine - INFO - Epoch(train) [80][220/1879] lr: 2.0000e-02 eta: 1 day, 9:47:18 time: 1.0427 data_time: 0.0362 memory: 11089 grad_norm: 4.2649 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8777 loss: 1.8777 2022/08/03 03:47:00 - mmengine - INFO - Epoch(train) [80][240/1879] lr: 2.0000e-02 eta: 1 day, 9:47:03 time: 1.0476 data_time: 0.0312 memory: 11089 grad_norm: 4.2102 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8252 loss: 1.8252 2022/08/03 03:47:21 - mmengine - INFO - Epoch(train) [80][260/1879] lr: 2.0000e-02 eta: 1 day, 9:46:47 time: 1.0492 data_time: 0.0374 memory: 11089 grad_norm: 4.1551 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9109 loss: 1.9109 2022/08/03 03:47:40 - mmengine - INFO - Epoch(train) [80][280/1879] lr: 2.0000e-02 eta: 1 day, 9:46:29 time: 0.9434 data_time: 0.0351 memory: 11089 grad_norm: 4.2099 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7564 loss: 1.7564 2022/08/03 03:47:59 - mmengine - INFO - Epoch(train) [80][300/1879] lr: 2.0000e-02 eta: 1 day, 9:46:11 time: 0.9516 data_time: 0.0266 memory: 11089 grad_norm: 4.1110 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8206 loss: 1.8206 2022/08/03 03:48:18 - mmengine - INFO - Epoch(train) [80][320/1879] lr: 2.0000e-02 eta: 1 day, 9:45:53 time: 0.9280 data_time: 0.0247 memory: 11089 grad_norm: 4.1327 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8588 loss: 1.8588 2022/08/03 03:48:38 - mmengine - INFO - Epoch(train) [80][340/1879] lr: 2.0000e-02 eta: 1 day, 9:45:37 time: 1.0145 data_time: 0.0414 memory: 11089 grad_norm: 4.1888 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9055 loss: 1.9055 2022/08/03 03:48:58 - mmengine - INFO - Epoch(train) [80][360/1879] lr: 2.0000e-02 eta: 1 day, 9:45:20 time: 0.9785 data_time: 0.0345 memory: 11089 grad_norm: 4.2687 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1417 loss: 2.1417 2022/08/03 03:49:16 - mmengine - INFO - Epoch(train) [80][380/1879] lr: 2.0000e-02 eta: 1 day, 9:45:02 time: 0.9091 data_time: 0.0287 memory: 11089 grad_norm: 4.2792 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8244 loss: 1.8244 2022/08/03 03:49:34 - mmengine - INFO - Epoch(train) [80][400/1879] lr: 2.0000e-02 eta: 1 day, 9:44:43 time: 0.9064 data_time: 0.0237 memory: 11089 grad_norm: 4.1224 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0177 loss: 2.0177 2022/08/03 03:49:53 - mmengine - INFO - Epoch(train) [80][420/1879] lr: 2.0000e-02 eta: 1 day, 9:44:26 time: 0.9677 data_time: 0.0371 memory: 11089 grad_norm: 4.1467 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9596 loss: 1.9596 2022/08/03 03:50:12 - mmengine - INFO - Epoch(train) [80][440/1879] lr: 2.0000e-02 eta: 1 day, 9:44:08 time: 0.9224 data_time: 0.0263 memory: 11089 grad_norm: 4.0805 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7568 loss: 1.7568 2022/08/03 03:50:30 - mmengine - INFO - Epoch(train) [80][460/1879] lr: 2.0000e-02 eta: 1 day, 9:43:50 time: 0.9248 data_time: 0.0316 memory: 11089 grad_norm: 4.2136 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7962 loss: 1.7962 2022/08/03 03:50:49 - mmengine - INFO - Epoch(train) [80][480/1879] lr: 2.0000e-02 eta: 1 day, 9:43:32 time: 0.9400 data_time: 0.0274 memory: 11089 grad_norm: 4.1937 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9465 loss: 1.9465 2022/08/03 03:51:08 - mmengine - INFO - Epoch(train) [80][500/1879] lr: 2.0000e-02 eta: 1 day, 9:43:14 time: 0.9283 data_time: 0.0318 memory: 11089 grad_norm: 4.2891 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8278 loss: 1.8278 2022/08/03 03:51:26 - mmengine - INFO - Epoch(train) [80][520/1879] lr: 2.0000e-02 eta: 1 day, 9:42:56 time: 0.9176 data_time: 0.0258 memory: 11089 grad_norm: 4.1763 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7792 loss: 1.7792 2022/08/03 03:51:45 - mmengine - INFO - Epoch(train) [80][540/1879] lr: 2.0000e-02 eta: 1 day, 9:42:38 time: 0.9215 data_time: 0.0252 memory: 11089 grad_norm: 4.1594 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9529 loss: 1.9529 2022/08/03 03:52:02 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 03:52:03 - mmengine - INFO - Epoch(train) [80][560/1879] lr: 2.0000e-02 eta: 1 day, 9:42:19 time: 0.9176 data_time: 0.0260 memory: 11089 grad_norm: 4.2191 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7558 loss: 1.7558 2022/08/03 03:52:21 - mmengine - INFO - Epoch(train) [80][580/1879] lr: 2.0000e-02 eta: 1 day, 9:42:01 time: 0.9192 data_time: 0.0265 memory: 11089 grad_norm: 4.1837 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9331 loss: 1.9331 2022/08/03 03:52:40 - mmengine - INFO - Epoch(train) [80][600/1879] lr: 2.0000e-02 eta: 1 day, 9:41:43 time: 0.9167 data_time: 0.0334 memory: 11089 grad_norm: 4.2333 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7433 loss: 1.7433 2022/08/03 03:52:58 - mmengine - INFO - Epoch(train) [80][620/1879] lr: 2.0000e-02 eta: 1 day, 9:41:25 time: 0.9092 data_time: 0.0241 memory: 11089 grad_norm: 4.3250 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6846 loss: 1.6846 2022/08/03 03:53:16 - mmengine - INFO - Epoch(train) [80][640/1879] lr: 2.0000e-02 eta: 1 day, 9:41:06 time: 0.9019 data_time: 0.0239 memory: 11089 grad_norm: 4.2359 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9021 loss: 1.9021 2022/08/03 03:53:34 - mmengine - INFO - Epoch(train) [80][660/1879] lr: 2.0000e-02 eta: 1 day, 9:40:48 time: 0.9141 data_time: 0.0276 memory: 11089 grad_norm: 4.2022 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9217 loss: 1.9217 2022/08/03 03:53:52 - mmengine - INFO - Epoch(train) [80][680/1879] lr: 2.0000e-02 eta: 1 day, 9:40:29 time: 0.8973 data_time: 0.0231 memory: 11089 grad_norm: 4.3481 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9455 loss: 1.9455 2022/08/03 03:54:10 - mmengine - INFO - Epoch(train) [80][700/1879] lr: 2.0000e-02 eta: 1 day, 9:40:11 time: 0.9092 data_time: 0.0246 memory: 11089 grad_norm: 4.1694 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9708 loss: 1.9708 2022/08/03 03:54:29 - mmengine - INFO - Epoch(train) [80][720/1879] lr: 2.0000e-02 eta: 1 day, 9:39:53 time: 0.9147 data_time: 0.0298 memory: 11089 grad_norm: 4.1289 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 2.0414 loss: 2.0414 2022/08/03 03:54:47 - mmengine - INFO - Epoch(train) [80][740/1879] lr: 2.0000e-02 eta: 1 day, 9:39:35 time: 0.9212 data_time: 0.0247 memory: 11089 grad_norm: 4.2450 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8906 loss: 1.8906 2022/08/03 03:55:05 - mmengine - INFO - Epoch(train) [80][760/1879] lr: 2.0000e-02 eta: 1 day, 9:39:16 time: 0.9072 data_time: 0.0258 memory: 11089 grad_norm: 4.2764 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7921 loss: 1.7921 2022/08/03 03:55:23 - mmengine - INFO - Epoch(train) [80][780/1879] lr: 2.0000e-02 eta: 1 day, 9:38:58 time: 0.9140 data_time: 0.0239 memory: 11089 grad_norm: 4.3626 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9214 loss: 1.9214 2022/08/03 03:55:42 - mmengine - INFO - Epoch(train) [80][800/1879] lr: 2.0000e-02 eta: 1 day, 9:38:40 time: 0.9063 data_time: 0.0282 memory: 11089 grad_norm: 4.3478 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1228 loss: 2.1228 2022/08/03 03:56:00 - mmengine - INFO - Epoch(train) [80][820/1879] lr: 2.0000e-02 eta: 1 day, 9:38:21 time: 0.9123 data_time: 0.0233 memory: 11089 grad_norm: 4.2289 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9049 loss: 1.9049 2022/08/03 03:56:18 - mmengine - INFO - Epoch(train) [80][840/1879] lr: 2.0000e-02 eta: 1 day, 9:38:04 time: 0.9358 data_time: 0.0382 memory: 11089 grad_norm: 4.2750 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0446 loss: 2.0446 2022/08/03 03:56:37 - mmengine - INFO - Epoch(train) [80][860/1879] lr: 2.0000e-02 eta: 1 day, 9:37:45 time: 0.9111 data_time: 0.0264 memory: 11089 grad_norm: 4.1956 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.0272 loss: 2.0272 2022/08/03 03:56:55 - mmengine - INFO - Epoch(train) [80][880/1879] lr: 2.0000e-02 eta: 1 day, 9:37:27 time: 0.9061 data_time: 0.0205 memory: 11089 grad_norm: 4.2792 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7292 loss: 1.7292 2022/08/03 03:57:13 - mmengine - INFO - Epoch(train) [80][900/1879] lr: 2.0000e-02 eta: 1 day, 9:37:08 time: 0.9007 data_time: 0.0207 memory: 11089 grad_norm: 4.2364 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8535 loss: 1.8535 2022/08/03 03:57:31 - mmengine - INFO - Epoch(train) [80][920/1879] lr: 2.0000e-02 eta: 1 day, 9:36:50 time: 0.9032 data_time: 0.0232 memory: 11089 grad_norm: 4.2097 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1026 loss: 2.1026 2022/08/03 03:57:49 - mmengine - INFO - Epoch(train) [80][940/1879] lr: 2.0000e-02 eta: 1 day, 9:36:31 time: 0.9034 data_time: 0.0202 memory: 11089 grad_norm: 4.1785 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9367 loss: 1.9367 2022/08/03 03:58:07 - mmengine - INFO - Epoch(train) [80][960/1879] lr: 2.0000e-02 eta: 1 day, 9:36:13 time: 0.9053 data_time: 0.0272 memory: 11089 grad_norm: 4.1903 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1409 loss: 2.1409 2022/08/03 03:58:25 - mmengine - INFO - Epoch(train) [80][980/1879] lr: 2.0000e-02 eta: 1 day, 9:35:54 time: 0.8952 data_time: 0.0245 memory: 11089 grad_norm: 4.2111 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9272 loss: 1.9272 2022/08/03 03:58:43 - mmengine - INFO - Epoch(train) [80][1000/1879] lr: 2.0000e-02 eta: 1 day, 9:35:36 time: 0.9011 data_time: 0.0197 memory: 11089 grad_norm: 4.2321 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1456 loss: 2.1456 2022/08/03 03:59:01 - mmengine - INFO - Epoch(train) [80][1020/1879] lr: 2.0000e-02 eta: 1 day, 9:35:18 time: 0.9065 data_time: 0.0272 memory: 11089 grad_norm: 4.3380 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0371 loss: 2.0371 2022/08/03 03:59:20 - mmengine - INFO - Epoch(train) [80][1040/1879] lr: 2.0000e-02 eta: 1 day, 9:35:00 time: 0.9238 data_time: 0.0277 memory: 11089 grad_norm: 4.2406 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0516 loss: 2.0516 2022/08/03 03:59:38 - mmengine - INFO - Epoch(train) [80][1060/1879] lr: 2.0000e-02 eta: 1 day, 9:34:41 time: 0.9188 data_time: 0.0290 memory: 11089 grad_norm: 4.1925 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9616 loss: 1.9616 2022/08/03 03:59:56 - mmengine - INFO - Epoch(train) [80][1080/1879] lr: 2.0000e-02 eta: 1 day, 9:34:23 time: 0.9227 data_time: 0.0269 memory: 11089 grad_norm: 4.2449 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8356 loss: 1.8356 2022/08/03 04:00:15 - mmengine - INFO - Epoch(train) [80][1100/1879] lr: 2.0000e-02 eta: 1 day, 9:34:05 time: 0.9000 data_time: 0.0238 memory: 11089 grad_norm: 4.0955 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8418 loss: 1.8418 2022/08/03 04:00:33 - mmengine - INFO - Epoch(train) [80][1120/1879] lr: 2.0000e-02 eta: 1 day, 9:33:47 time: 0.9222 data_time: 0.0234 memory: 11089 grad_norm: 4.1826 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.1128 loss: 2.1128 2022/08/03 04:00:51 - mmengine - INFO - Epoch(train) [80][1140/1879] lr: 2.0000e-02 eta: 1 day, 9:33:28 time: 0.9187 data_time: 0.0317 memory: 11089 grad_norm: 4.1128 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7641 loss: 1.7641 2022/08/03 04:01:09 - mmengine - INFO - Epoch(train) [80][1160/1879] lr: 2.0000e-02 eta: 1 day, 9:33:10 time: 0.9007 data_time: 0.0247 memory: 11089 grad_norm: 4.1950 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8334 loss: 1.8334 2022/08/03 04:01:28 - mmengine - INFO - Epoch(train) [80][1180/1879] lr: 2.0000e-02 eta: 1 day, 9:32:52 time: 0.9144 data_time: 0.0280 memory: 11089 grad_norm: 4.2293 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9655 loss: 1.9655 2022/08/03 04:01:46 - mmengine - INFO - Epoch(train) [80][1200/1879] lr: 2.0000e-02 eta: 1 day, 9:32:33 time: 0.9034 data_time: 0.0238 memory: 11089 grad_norm: 4.2638 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0612 loss: 2.0612 2022/08/03 04:02:04 - mmengine - INFO - Epoch(train) [80][1220/1879] lr: 2.0000e-02 eta: 1 day, 9:32:15 time: 0.9079 data_time: 0.0254 memory: 11089 grad_norm: 4.3820 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9383 loss: 1.9383 2022/08/03 04:02:22 - mmengine - INFO - Epoch(train) [80][1240/1879] lr: 2.0000e-02 eta: 1 day, 9:31:57 time: 0.9235 data_time: 0.0208 memory: 11089 grad_norm: 4.3080 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9232 loss: 1.9232 2022/08/03 04:02:41 - mmengine - INFO - Epoch(train) [80][1260/1879] lr: 2.0000e-02 eta: 1 day, 9:31:39 time: 0.9123 data_time: 0.0254 memory: 11089 grad_norm: 4.3450 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1195 loss: 2.1195 2022/08/03 04:02:59 - mmengine - INFO - Epoch(train) [80][1280/1879] lr: 2.0000e-02 eta: 1 day, 9:31:20 time: 0.9107 data_time: 0.0265 memory: 11089 grad_norm: 4.1118 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9160 loss: 1.9160 2022/08/03 04:03:17 - mmengine - INFO - Epoch(train) [80][1300/1879] lr: 2.0000e-02 eta: 1 day, 9:31:02 time: 0.9089 data_time: 0.0212 memory: 11089 grad_norm: 4.0851 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9240 loss: 1.9240 2022/08/03 04:03:35 - mmengine - INFO - Epoch(train) [80][1320/1879] lr: 2.0000e-02 eta: 1 day, 9:30:43 time: 0.9060 data_time: 0.0233 memory: 11089 grad_norm: 4.2388 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2378 loss: 2.2378 2022/08/03 04:03:53 - mmengine - INFO - Epoch(train) [80][1340/1879] lr: 2.0000e-02 eta: 1 day, 9:30:25 time: 0.9157 data_time: 0.0297 memory: 11089 grad_norm: 4.2542 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9640 loss: 1.9640 2022/08/03 04:04:12 - mmengine - INFO - Epoch(train) [80][1360/1879] lr: 2.0000e-02 eta: 1 day, 9:30:07 time: 0.9172 data_time: 0.0243 memory: 11089 grad_norm: 4.1847 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7488 loss: 1.7488 2022/08/03 04:04:30 - mmengine - INFO - Epoch(train) [80][1380/1879] lr: 2.0000e-02 eta: 1 day, 9:29:49 time: 0.9043 data_time: 0.0233 memory: 11089 grad_norm: 4.1517 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9485 loss: 1.9485 2022/08/03 04:04:48 - mmengine - INFO - Epoch(train) [80][1400/1879] lr: 2.0000e-02 eta: 1 day, 9:29:30 time: 0.8941 data_time: 0.0219 memory: 11089 grad_norm: 4.3568 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9918 loss: 1.9918 2022/08/03 04:05:06 - mmengine - INFO - Epoch(train) [80][1420/1879] lr: 2.0000e-02 eta: 1 day, 9:29:12 time: 0.9188 data_time: 0.0273 memory: 11089 grad_norm: 4.1618 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8658 loss: 1.8658 2022/08/03 04:05:24 - mmengine - INFO - Epoch(train) [80][1440/1879] lr: 2.0000e-02 eta: 1 day, 9:28:54 time: 0.9100 data_time: 0.0215 memory: 11089 grad_norm: 4.3692 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0734 loss: 2.0734 2022/08/03 04:05:43 - mmengine - INFO - Epoch(train) [80][1460/1879] lr: 2.0000e-02 eta: 1 day, 9:28:36 time: 0.9477 data_time: 0.0336 memory: 11089 grad_norm: 4.2684 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9859 loss: 1.9859 2022/08/03 04:06:02 - mmengine - INFO - Epoch(train) [80][1480/1879] lr: 2.0000e-02 eta: 1 day, 9:28:18 time: 0.9129 data_time: 0.0215 memory: 11089 grad_norm: 4.2163 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.7913 loss: 1.7913 2022/08/03 04:06:20 - mmengine - INFO - Epoch(train) [80][1500/1879] lr: 2.0000e-02 eta: 1 day, 9:27:59 time: 0.9195 data_time: 0.0226 memory: 11089 grad_norm: 4.2748 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7666 loss: 1.7666 2022/08/03 04:06:38 - mmengine - INFO - Epoch(train) [80][1520/1879] lr: 2.0000e-02 eta: 1 day, 9:27:41 time: 0.9170 data_time: 0.0243 memory: 11089 grad_norm: 4.1458 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9463 loss: 1.9463 2022/08/03 04:06:57 - mmengine - INFO - Epoch(train) [80][1540/1879] lr: 2.0000e-02 eta: 1 day, 9:27:23 time: 0.9296 data_time: 0.0300 memory: 11089 grad_norm: 4.2419 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8717 loss: 1.8717 2022/08/03 04:07:14 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 04:07:15 - mmengine - INFO - Epoch(train) [80][1560/1879] lr: 2.0000e-02 eta: 1 day, 9:27:05 time: 0.9099 data_time: 0.0263 memory: 11089 grad_norm: 4.1148 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9972 loss: 1.9972 2022/08/03 04:07:34 - mmengine - INFO - Epoch(train) [80][1580/1879] lr: 2.0000e-02 eta: 1 day, 9:26:47 time: 0.9360 data_time: 0.0267 memory: 11089 grad_norm: 4.2771 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0030 loss: 2.0030 2022/08/03 04:07:52 - mmengine - INFO - Epoch(train) [80][1600/1879] lr: 2.0000e-02 eta: 1 day, 9:26:29 time: 0.9206 data_time: 0.0238 memory: 11089 grad_norm: 4.1225 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9872 loss: 1.9872 2022/08/03 04:08:10 - mmengine - INFO - Epoch(train) [80][1620/1879] lr: 2.0000e-02 eta: 1 day, 9:26:11 time: 0.9079 data_time: 0.0258 memory: 11089 grad_norm: 4.1243 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.0350 loss: 2.0350 2022/08/03 04:08:29 - mmengine - INFO - Epoch(train) [80][1640/1879] lr: 2.0000e-02 eta: 1 day, 9:25:53 time: 0.9308 data_time: 0.0252 memory: 11089 grad_norm: 4.2031 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0128 loss: 2.0128 2022/08/03 04:08:47 - mmengine - INFO - Epoch(train) [80][1660/1879] lr: 2.0000e-02 eta: 1 day, 9:25:34 time: 0.9217 data_time: 0.0262 memory: 11089 grad_norm: 4.3303 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.8110 loss: 1.8110 2022/08/03 04:09:06 - mmengine - INFO - Epoch(train) [80][1680/1879] lr: 2.0000e-02 eta: 1 day, 9:25:16 time: 0.9063 data_time: 0.0275 memory: 11089 grad_norm: 4.2056 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0624 loss: 2.0624 2022/08/03 04:09:24 - mmengine - INFO - Epoch(train) [80][1700/1879] lr: 2.0000e-02 eta: 1 day, 9:24:58 time: 0.9149 data_time: 0.0253 memory: 11089 grad_norm: 4.3266 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0769 loss: 2.0769 2022/08/03 04:09:42 - mmengine - INFO - Epoch(train) [80][1720/1879] lr: 2.0000e-02 eta: 1 day, 9:24:39 time: 0.9008 data_time: 0.0303 memory: 11089 grad_norm: 4.1732 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9223 loss: 1.9223 2022/08/03 04:10:00 - mmengine - INFO - Epoch(train) [80][1740/1879] lr: 2.0000e-02 eta: 1 day, 9:24:21 time: 0.9261 data_time: 0.0318 memory: 11089 grad_norm: 4.2651 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0435 loss: 2.0435 2022/08/03 04:10:19 - mmengine - INFO - Epoch(train) [80][1760/1879] lr: 2.0000e-02 eta: 1 day, 9:24:03 time: 0.9094 data_time: 0.0275 memory: 11089 grad_norm: 4.3395 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7826 loss: 1.7826 2022/08/03 04:10:37 - mmengine - INFO - Epoch(train) [80][1780/1879] lr: 2.0000e-02 eta: 1 day, 9:23:45 time: 0.9131 data_time: 0.0249 memory: 11089 grad_norm: 4.1686 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0439 loss: 2.0439 2022/08/03 04:10:55 - mmengine - INFO - Epoch(train) [80][1800/1879] lr: 2.0000e-02 eta: 1 day, 9:23:26 time: 0.9058 data_time: 0.0242 memory: 11089 grad_norm: 4.2438 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0767 loss: 2.0767 2022/08/03 04:11:13 - mmengine - INFO - Epoch(train) [80][1820/1879] lr: 2.0000e-02 eta: 1 day, 9:23:08 time: 0.9164 data_time: 0.0266 memory: 11089 grad_norm: 4.3195 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0378 loss: 2.0378 2022/08/03 04:11:31 - mmengine - INFO - Epoch(train) [80][1840/1879] lr: 2.0000e-02 eta: 1 day, 9:22:49 time: 0.8947 data_time: 0.0209 memory: 11089 grad_norm: 4.1872 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1039 loss: 2.1039 2022/08/03 04:11:50 - mmengine - INFO - Epoch(train) [80][1860/1879] lr: 2.0000e-02 eta: 1 day, 9:22:32 time: 0.9368 data_time: 0.0290 memory: 11089 grad_norm: 4.2132 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7605 loss: 1.7605 2022/08/03 04:12:07 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 04:12:07 - mmengine - INFO - Epoch(train) [80][1879/1879] lr: 2.0000e-02 eta: 1 day, 9:22:32 time: 0.8933 data_time: 0.0265 memory: 11089 grad_norm: 4.3101 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.8182 loss: 1.8182 2022/08/03 04:12:07 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/08/03 04:12:19 - mmengine - INFO - Epoch(val) [80][20/155] eta: 0:00:58 time: 0.4343 data_time: 0.1134 memory: 1950 2022/08/03 04:12:25 - mmengine - INFO - Epoch(val) [80][40/155] eta: 0:00:37 time: 0.3227 data_time: 0.0107 memory: 1950 2022/08/03 04:12:32 - mmengine - INFO - Epoch(val) [80][60/155] eta: 0:00:30 time: 0.3245 data_time: 0.0124 memory: 1950 2022/08/03 04:12:38 - mmengine - INFO - Epoch(val) [80][80/155] eta: 0:00:24 time: 0.3237 data_time: 0.0121 memory: 1950 2022/08/03 04:12:45 - mmengine - INFO - Epoch(val) [80][100/155] eta: 0:00:18 time: 0.3276 data_time: 0.0129 memory: 1950 2022/08/03 04:12:52 - mmengine - INFO - Epoch(val) [80][120/155] eta: 0:00:12 time: 0.3677 data_time: 0.0112 memory: 1950 2022/08/03 04:13:00 - mmengine - INFO - Epoch(val) [80][140/155] eta: 0:00:05 time: 0.3788 data_time: 0.0107 memory: 1950 2022/08/03 04:13:07 - mmengine - INFO - Epoch(val) [80][155/155] acc/top1: 0.6120 acc/top5: 0.8297 acc/mean1: 0.6120 2022/08/03 04:13:28 - mmengine - INFO - Epoch(train) [81][20/1879] lr: 2.0000e-02 eta: 1 day, 9:21:43 time: 1.0231 data_time: 0.1450 memory: 11089 grad_norm: 4.1427 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7743 loss: 1.7743 2022/08/03 04:13:46 - mmengine - INFO - Epoch(train) [81][40/1879] lr: 2.0000e-02 eta: 1 day, 9:21:24 time: 0.9079 data_time: 0.0272 memory: 11089 grad_norm: 4.2258 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0202 loss: 2.0202 2022/08/03 04:14:04 - mmengine - INFO - Epoch(train) [81][60/1879] lr: 2.0000e-02 eta: 1 day, 9:21:06 time: 0.9052 data_time: 0.0297 memory: 11089 grad_norm: 4.1101 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8876 loss: 1.8876 2022/08/03 04:14:22 - mmengine - INFO - Epoch(train) [81][80/1879] lr: 2.0000e-02 eta: 1 day, 9:20:48 time: 0.9120 data_time: 0.0265 memory: 11089 grad_norm: 4.1727 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8866 loss: 1.8866 2022/08/03 04:14:40 - mmengine - INFO - Epoch(train) [81][100/1879] lr: 2.0000e-02 eta: 1 day, 9:20:29 time: 0.9043 data_time: 0.0298 memory: 11089 grad_norm: 4.2036 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9174 loss: 1.9174 2022/08/03 04:14:58 - mmengine - INFO - Epoch(train) [81][120/1879] lr: 2.0000e-02 eta: 1 day, 9:20:11 time: 0.9046 data_time: 0.0232 memory: 11089 grad_norm: 4.2551 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0525 loss: 2.0525 2022/08/03 04:15:17 - mmengine - INFO - Epoch(train) [81][140/1879] lr: 2.0000e-02 eta: 1 day, 9:19:53 time: 0.9208 data_time: 0.0283 memory: 11089 grad_norm: 4.1899 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7930 loss: 1.7930 2022/08/03 04:15:35 - mmengine - INFO - Epoch(train) [81][160/1879] lr: 2.0000e-02 eta: 1 day, 9:19:34 time: 0.8995 data_time: 0.0256 memory: 11089 grad_norm: 4.2097 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8657 loss: 1.8657 2022/08/03 04:15:53 - mmengine - INFO - Epoch(train) [81][180/1879] lr: 2.0000e-02 eta: 1 day, 9:19:16 time: 0.9261 data_time: 0.0309 memory: 11089 grad_norm: 4.2900 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7930 loss: 1.7930 2022/08/03 04:16:12 - mmengine - INFO - Epoch(train) [81][200/1879] lr: 2.0000e-02 eta: 1 day, 9:18:58 time: 0.9278 data_time: 0.0273 memory: 11089 grad_norm: 4.2536 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8808 loss: 1.8808 2022/08/03 04:16:30 - mmengine - INFO - Epoch(train) [81][220/1879] lr: 2.0000e-02 eta: 1 day, 9:18:40 time: 0.9261 data_time: 0.0257 memory: 11089 grad_norm: 4.1499 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9956 loss: 1.9956 2022/08/03 04:16:49 - mmengine - INFO - Epoch(train) [81][240/1879] lr: 2.0000e-02 eta: 1 day, 9:18:22 time: 0.9238 data_time: 0.0268 memory: 11089 grad_norm: 4.2422 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7512 loss: 1.7512 2022/08/03 04:17:07 - mmengine - INFO - Epoch(train) [81][260/1879] lr: 2.0000e-02 eta: 1 day, 9:18:04 time: 0.9216 data_time: 0.0289 memory: 11089 grad_norm: 4.2712 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9088 loss: 1.9088 2022/08/03 04:17:26 - mmengine - INFO - Epoch(train) [81][280/1879] lr: 2.0000e-02 eta: 1 day, 9:17:46 time: 0.9246 data_time: 0.0271 memory: 11089 grad_norm: 4.1170 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7082 loss: 1.7082 2022/08/03 04:17:44 - mmengine - INFO - Epoch(train) [81][300/1879] lr: 2.0000e-02 eta: 1 day, 9:17:28 time: 0.9149 data_time: 0.0230 memory: 11089 grad_norm: 4.1859 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7638 loss: 1.7638 2022/08/03 04:18:02 - mmengine - INFO - Epoch(train) [81][320/1879] lr: 2.0000e-02 eta: 1 day, 9:17:09 time: 0.8937 data_time: 0.0216 memory: 11089 grad_norm: 4.2153 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7881 loss: 1.7881 2022/08/03 04:18:20 - mmengine - INFO - Epoch(train) [81][340/1879] lr: 2.0000e-02 eta: 1 day, 9:16:51 time: 0.9235 data_time: 0.0304 memory: 11089 grad_norm: 4.1782 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9577 loss: 1.9577 2022/08/03 04:18:39 - mmengine - INFO - Epoch(train) [81][360/1879] lr: 2.0000e-02 eta: 1 day, 9:16:33 time: 0.9273 data_time: 0.0258 memory: 11089 grad_norm: 4.2994 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7691 loss: 1.7691 2022/08/03 04:18:57 - mmengine - INFO - Epoch(train) [81][380/1879] lr: 2.0000e-02 eta: 1 day, 9:16:15 time: 0.9294 data_time: 0.0290 memory: 11089 grad_norm: 4.1879 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7294 loss: 1.7294 2022/08/03 04:19:16 - mmengine - INFO - Epoch(train) [81][400/1879] lr: 2.0000e-02 eta: 1 day, 9:15:57 time: 0.9111 data_time: 0.0266 memory: 11089 grad_norm: 4.1536 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1364 loss: 2.1364 2022/08/03 04:19:34 - mmengine - INFO - Epoch(train) [81][420/1879] lr: 2.0000e-02 eta: 1 day, 9:15:38 time: 0.9169 data_time: 0.0265 memory: 11089 grad_norm: 4.2861 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0735 loss: 2.0735 2022/08/03 04:19:53 - mmengine - INFO - Epoch(train) [81][440/1879] lr: 2.0000e-02 eta: 1 day, 9:15:20 time: 0.9282 data_time: 0.0303 memory: 11089 grad_norm: 4.3314 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8418 loss: 1.8418 2022/08/03 04:20:10 - mmengine - INFO - Epoch(train) [81][460/1879] lr: 2.0000e-02 eta: 1 day, 9:15:02 time: 0.8900 data_time: 0.0257 memory: 11089 grad_norm: 4.2302 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8081 loss: 1.8081 2022/08/03 04:20:29 - mmengine - INFO - Epoch(train) [81][480/1879] lr: 2.0000e-02 eta: 1 day, 9:14:43 time: 0.9123 data_time: 0.0268 memory: 11089 grad_norm: 4.3056 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8835 loss: 1.8835 2022/08/03 04:20:47 - mmengine - INFO - Epoch(train) [81][500/1879] lr: 2.0000e-02 eta: 1 day, 9:14:25 time: 0.9185 data_time: 0.0211 memory: 11089 grad_norm: 4.2086 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7775 loss: 1.7775 2022/08/03 04:21:05 - mmengine - INFO - Epoch(train) [81][520/1879] lr: 2.0000e-02 eta: 1 day, 9:14:07 time: 0.9083 data_time: 0.0222 memory: 11089 grad_norm: 4.2325 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0783 loss: 2.0783 2022/08/03 04:21:24 - mmengine - INFO - Epoch(train) [81][540/1879] lr: 2.0000e-02 eta: 1 day, 9:13:49 time: 0.9178 data_time: 0.0252 memory: 11089 grad_norm: 4.1969 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9530 loss: 1.9530 2022/08/03 04:21:42 - mmengine - INFO - Epoch(train) [81][560/1879] lr: 2.0000e-02 eta: 1 day, 9:13:30 time: 0.9141 data_time: 0.0199 memory: 11089 grad_norm: 4.1751 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9180 loss: 1.9180 2022/08/03 04:22:00 - mmengine - INFO - Epoch(train) [81][580/1879] lr: 2.0000e-02 eta: 1 day, 9:13:12 time: 0.9001 data_time: 0.0214 memory: 11089 grad_norm: 4.1025 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9518 loss: 1.9518 2022/08/03 04:22:18 - mmengine - INFO - Epoch(train) [81][600/1879] lr: 2.0000e-02 eta: 1 day, 9:12:54 time: 0.9248 data_time: 0.0217 memory: 11089 grad_norm: 4.2438 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.9859 loss: 1.9859 2022/08/03 04:22:37 - mmengine - INFO - Epoch(train) [81][620/1879] lr: 2.0000e-02 eta: 1 day, 9:12:36 time: 0.9096 data_time: 0.0252 memory: 11089 grad_norm: 4.3154 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9639 loss: 1.9639 2022/08/03 04:22:55 - mmengine - INFO - Epoch(train) [81][640/1879] lr: 2.0000e-02 eta: 1 day, 9:12:17 time: 0.9214 data_time: 0.0299 memory: 11089 grad_norm: 4.2288 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0178 loss: 2.0178 2022/08/03 04:23:14 - mmengine - INFO - Epoch(train) [81][660/1879] lr: 2.0000e-02 eta: 1 day, 9:12:00 time: 0.9322 data_time: 0.0283 memory: 11089 grad_norm: 4.1380 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8423 loss: 1.8423 2022/08/03 04:23:32 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 04:23:32 - mmengine - INFO - Epoch(train) [81][680/1879] lr: 2.0000e-02 eta: 1 day, 9:11:41 time: 0.9249 data_time: 0.0243 memory: 11089 grad_norm: 4.1285 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9442 loss: 1.9442 2022/08/03 04:23:51 - mmengine - INFO - Epoch(train) [81][700/1879] lr: 2.0000e-02 eta: 1 day, 9:11:24 time: 0.9310 data_time: 0.0342 memory: 11089 grad_norm: 4.2467 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7695 loss: 1.7695 2022/08/03 04:24:09 - mmengine - INFO - Epoch(train) [81][720/1879] lr: 2.0000e-02 eta: 1 day, 9:11:05 time: 0.9095 data_time: 0.0293 memory: 11089 grad_norm: 4.3128 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1058 loss: 2.1058 2022/08/03 04:24:27 - mmengine - INFO - Epoch(train) [81][740/1879] lr: 2.0000e-02 eta: 1 day, 9:10:47 time: 0.9044 data_time: 0.0233 memory: 11089 grad_norm: 4.1415 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0010 loss: 2.0010 2022/08/03 04:24:45 - mmengine - INFO - Epoch(train) [81][760/1879] lr: 2.0000e-02 eta: 1 day, 9:10:28 time: 0.9084 data_time: 0.0228 memory: 11089 grad_norm: 4.2084 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1039 loss: 2.1039 2022/08/03 04:25:04 - mmengine - INFO - Epoch(train) [81][780/1879] lr: 2.0000e-02 eta: 1 day, 9:10:10 time: 0.9142 data_time: 0.0235 memory: 11089 grad_norm: 4.1549 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0218 loss: 2.0218 2022/08/03 04:25:22 - mmengine - INFO - Epoch(train) [81][800/1879] lr: 2.0000e-02 eta: 1 day, 9:09:52 time: 0.9190 data_time: 0.0321 memory: 11089 grad_norm: 4.2463 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8772 loss: 1.8772 2022/08/03 04:25:40 - mmengine - INFO - Epoch(train) [81][820/1879] lr: 2.0000e-02 eta: 1 day, 9:09:34 time: 0.9296 data_time: 0.0287 memory: 11089 grad_norm: 4.2273 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9766 loss: 1.9766 2022/08/03 04:25:59 - mmengine - INFO - Epoch(train) [81][840/1879] lr: 2.0000e-02 eta: 1 day, 9:09:16 time: 0.9038 data_time: 0.0232 memory: 11089 grad_norm: 4.2530 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9453 loss: 1.9453 2022/08/03 04:26:16 - mmengine - INFO - Epoch(train) [81][860/1879] lr: 2.0000e-02 eta: 1 day, 9:08:57 time: 0.8952 data_time: 0.0282 memory: 11089 grad_norm: 4.3433 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1469 loss: 2.1469 2022/08/03 04:26:35 - mmengine - INFO - Epoch(train) [81][880/1879] lr: 2.0000e-02 eta: 1 day, 9:08:39 time: 0.9410 data_time: 0.0276 memory: 11089 grad_norm: 4.1888 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9468 loss: 1.9468 2022/08/03 04:26:54 - mmengine - INFO - Epoch(train) [81][900/1879] lr: 2.0000e-02 eta: 1 day, 9:08:21 time: 0.9277 data_time: 0.0249 memory: 11089 grad_norm: 4.2140 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9018 loss: 1.9018 2022/08/03 04:27:12 - mmengine - INFO - Epoch(train) [81][920/1879] lr: 2.0000e-02 eta: 1 day, 9:08:03 time: 0.9293 data_time: 0.0244 memory: 11089 grad_norm: 4.2185 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9384 loss: 1.9384 2022/08/03 04:27:31 - mmengine - INFO - Epoch(train) [81][940/1879] lr: 2.0000e-02 eta: 1 day, 9:07:45 time: 0.9172 data_time: 0.0337 memory: 11089 grad_norm: 4.1695 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0903 loss: 2.0903 2022/08/03 04:27:49 - mmengine - INFO - Epoch(train) [81][960/1879] lr: 2.0000e-02 eta: 1 day, 9:07:27 time: 0.9215 data_time: 0.0299 memory: 11089 grad_norm: 4.2176 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1320 loss: 2.1320 2022/08/03 04:28:07 - mmengine - INFO - Epoch(train) [81][980/1879] lr: 2.0000e-02 eta: 1 day, 9:07:09 time: 0.9071 data_time: 0.0276 memory: 11089 grad_norm: 4.1308 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8299 loss: 1.8299 2022/08/03 04:28:26 - mmengine - INFO - Epoch(train) [81][1000/1879] lr: 2.0000e-02 eta: 1 day, 9:06:50 time: 0.9131 data_time: 0.0231 memory: 11089 grad_norm: 4.2595 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9689 loss: 1.9689 2022/08/03 04:28:44 - mmengine - INFO - Epoch(train) [81][1020/1879] lr: 2.0000e-02 eta: 1 day, 9:06:32 time: 0.9201 data_time: 0.0294 memory: 11089 grad_norm: 4.2264 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0644 loss: 2.0644 2022/08/03 04:29:02 - mmengine - INFO - Epoch(train) [81][1040/1879] lr: 2.0000e-02 eta: 1 day, 9:06:14 time: 0.9129 data_time: 0.0213 memory: 11089 grad_norm: 4.2669 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8635 loss: 1.8635 2022/08/03 04:29:21 - mmengine - INFO - Epoch(train) [81][1060/1879] lr: 2.0000e-02 eta: 1 day, 9:05:56 time: 0.9253 data_time: 0.0316 memory: 11089 grad_norm: 4.2505 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1174 loss: 2.1174 2022/08/03 04:29:39 - mmengine - INFO - Epoch(train) [81][1080/1879] lr: 2.0000e-02 eta: 1 day, 9:05:37 time: 0.9055 data_time: 0.0291 memory: 11089 grad_norm: 4.1906 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8756 loss: 1.8756 2022/08/03 04:29:57 - mmengine - INFO - Epoch(train) [81][1100/1879] lr: 2.0000e-02 eta: 1 day, 9:05:19 time: 0.8944 data_time: 0.0228 memory: 11089 grad_norm: 4.2159 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9675 loss: 1.9675 2022/08/03 04:30:15 - mmengine - INFO - Epoch(train) [81][1120/1879] lr: 2.0000e-02 eta: 1 day, 9:05:01 time: 0.9277 data_time: 0.0297 memory: 11089 grad_norm: 4.2323 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9413 loss: 1.9413 2022/08/03 04:30:33 - mmengine - INFO - Epoch(train) [81][1140/1879] lr: 2.0000e-02 eta: 1 day, 9:04:42 time: 0.9056 data_time: 0.0250 memory: 11089 grad_norm: 4.1919 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8676 loss: 1.8676 2022/08/03 04:30:52 - mmengine - INFO - Epoch(train) [81][1160/1879] lr: 2.0000e-02 eta: 1 day, 9:04:24 time: 0.9127 data_time: 0.0245 memory: 11089 grad_norm: 4.3895 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8903 loss: 1.8903 2022/08/03 04:31:10 - mmengine - INFO - Epoch(train) [81][1180/1879] lr: 2.0000e-02 eta: 1 day, 9:04:06 time: 0.9102 data_time: 0.0287 memory: 11089 grad_norm: 4.2583 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.9227 loss: 1.9227 2022/08/03 04:31:28 - mmengine - INFO - Epoch(train) [81][1200/1879] lr: 2.0000e-02 eta: 1 day, 9:03:47 time: 0.9061 data_time: 0.0252 memory: 11089 grad_norm: 4.1777 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9166 loss: 1.9166 2022/08/03 04:31:46 - mmengine - INFO - Epoch(train) [81][1220/1879] lr: 2.0000e-02 eta: 1 day, 9:03:29 time: 0.9077 data_time: 0.0189 memory: 11089 grad_norm: 4.2087 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8513 loss: 1.8513 2022/08/03 04:32:05 - mmengine - INFO - Epoch(train) [81][1240/1879] lr: 2.0000e-02 eta: 1 day, 9:03:11 time: 0.9154 data_time: 0.0280 memory: 11089 grad_norm: 4.2394 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0666 loss: 2.0666 2022/08/03 04:32:23 - mmengine - INFO - Epoch(train) [81][1260/1879] lr: 2.0000e-02 eta: 1 day, 9:02:53 time: 0.9165 data_time: 0.0248 memory: 11089 grad_norm: 4.1349 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9722 loss: 1.9722 2022/08/03 04:32:41 - mmengine - INFO - Epoch(train) [81][1280/1879] lr: 2.0000e-02 eta: 1 day, 9:02:35 time: 0.9306 data_time: 0.0254 memory: 11089 grad_norm: 4.2863 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8467 loss: 1.8467 2022/08/03 04:33:00 - mmengine - INFO - Epoch(train) [81][1300/1879] lr: 2.0000e-02 eta: 1 day, 9:02:16 time: 0.9104 data_time: 0.0240 memory: 11089 grad_norm: 4.2242 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9450 loss: 1.9450 2022/08/03 04:33:18 - mmengine - INFO - Epoch(train) [81][1320/1879] lr: 2.0000e-02 eta: 1 day, 9:01:58 time: 0.9080 data_time: 0.0290 memory: 11089 grad_norm: 4.2705 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9560 loss: 1.9560 2022/08/03 04:33:37 - mmengine - INFO - Epoch(train) [81][1340/1879] lr: 2.0000e-02 eta: 1 day, 9:01:40 time: 0.9322 data_time: 0.0293 memory: 11089 grad_norm: 4.1525 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9656 loss: 1.9656 2022/08/03 04:33:55 - mmengine - INFO - Epoch(train) [81][1360/1879] lr: 2.0000e-02 eta: 1 day, 9:01:22 time: 0.9041 data_time: 0.0292 memory: 11089 grad_norm: 4.2584 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0009 loss: 2.0009 2022/08/03 04:34:13 - mmengine - INFO - Epoch(train) [81][1380/1879] lr: 2.0000e-02 eta: 1 day, 9:01:04 time: 0.9263 data_time: 0.0241 memory: 11089 grad_norm: 4.2963 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9039 loss: 1.9039 2022/08/03 04:34:32 - mmengine - INFO - Epoch(train) [81][1400/1879] lr: 2.0000e-02 eta: 1 day, 9:00:46 time: 0.9308 data_time: 0.0285 memory: 11089 grad_norm: 4.2816 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1391 loss: 2.1391 2022/08/03 04:34:50 - mmengine - INFO - Epoch(train) [81][1420/1879] lr: 2.0000e-02 eta: 1 day, 9:00:27 time: 0.9123 data_time: 0.0291 memory: 11089 grad_norm: 4.2967 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9694 loss: 1.9694 2022/08/03 04:35:09 - mmengine - INFO - Epoch(train) [81][1440/1879] lr: 2.0000e-02 eta: 1 day, 9:00:09 time: 0.9276 data_time: 0.0290 memory: 11089 grad_norm: 4.1944 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7634 loss: 1.7634 2022/08/03 04:35:27 - mmengine - INFO - Epoch(train) [81][1460/1879] lr: 2.0000e-02 eta: 1 day, 8:59:51 time: 0.9043 data_time: 0.0278 memory: 11089 grad_norm: 4.1348 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8341 loss: 1.8341 2022/08/03 04:35:45 - mmengine - INFO - Epoch(train) [81][1480/1879] lr: 2.0000e-02 eta: 1 day, 8:59:33 time: 0.9198 data_time: 0.0199 memory: 11089 grad_norm: 4.2768 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0420 loss: 2.0420 2022/08/03 04:36:04 - mmengine - INFO - Epoch(train) [81][1500/1879] lr: 2.0000e-02 eta: 1 day, 8:59:15 time: 0.9276 data_time: 0.0231 memory: 11089 grad_norm: 4.2245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1108 loss: 2.1108 2022/08/03 04:36:22 - mmengine - INFO - Epoch(train) [81][1520/1879] lr: 2.0000e-02 eta: 1 day, 8:58:56 time: 0.8953 data_time: 0.0241 memory: 11089 grad_norm: 4.2053 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0743 loss: 2.0743 2022/08/03 04:36:40 - mmengine - INFO - Epoch(train) [81][1540/1879] lr: 2.0000e-02 eta: 1 day, 8:58:38 time: 0.9341 data_time: 0.0296 memory: 11089 grad_norm: 4.2411 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8243 loss: 1.8243 2022/08/03 04:36:58 - mmengine - INFO - Epoch(train) [81][1560/1879] lr: 2.0000e-02 eta: 1 day, 8:58:20 time: 0.9051 data_time: 0.0286 memory: 11089 grad_norm: 4.1983 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7213 loss: 1.7213 2022/08/03 04:37:16 - mmengine - INFO - Epoch(train) [81][1580/1879] lr: 2.0000e-02 eta: 1 day, 8:58:01 time: 0.9081 data_time: 0.0275 memory: 11089 grad_norm: 4.2175 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8147 loss: 1.8147 2022/08/03 04:37:35 - mmengine - INFO - Epoch(train) [81][1600/1879] lr: 2.0000e-02 eta: 1 day, 8:57:43 time: 0.9114 data_time: 0.0191 memory: 11089 grad_norm: 4.1944 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7089 loss: 1.7089 2022/08/03 04:37:53 - mmengine - INFO - Epoch(train) [81][1620/1879] lr: 2.0000e-02 eta: 1 day, 8:57:25 time: 0.9156 data_time: 0.0273 memory: 11089 grad_norm: 4.1434 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6194 loss: 1.6194 2022/08/03 04:38:11 - mmengine - INFO - Epoch(train) [81][1640/1879] lr: 2.0000e-02 eta: 1 day, 8:57:07 time: 0.9226 data_time: 0.0217 memory: 11089 grad_norm: 4.2688 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8496 loss: 1.8496 2022/08/03 04:38:30 - mmengine - INFO - Epoch(train) [81][1660/1879] lr: 2.0000e-02 eta: 1 day, 8:56:48 time: 0.9068 data_time: 0.0227 memory: 11089 grad_norm: 4.1547 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9525 loss: 1.9525 2022/08/03 04:38:48 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 04:38:48 - mmengine - INFO - Epoch(train) [81][1680/1879] lr: 2.0000e-02 eta: 1 day, 8:56:30 time: 0.9299 data_time: 0.0291 memory: 11089 grad_norm: 4.0774 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9916 loss: 1.9916 2022/08/03 04:39:06 - mmengine - INFO - Epoch(train) [81][1700/1879] lr: 2.0000e-02 eta: 1 day, 8:56:12 time: 0.9034 data_time: 0.0254 memory: 11089 grad_norm: 4.1699 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9236 loss: 1.9236 2022/08/03 04:39:24 - mmengine - INFO - Epoch(train) [81][1720/1879] lr: 2.0000e-02 eta: 1 day, 8:55:54 time: 0.9059 data_time: 0.0243 memory: 11089 grad_norm: 4.2327 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0305 loss: 2.0305 2022/08/03 04:39:43 - mmengine - INFO - Epoch(train) [81][1740/1879] lr: 2.0000e-02 eta: 1 day, 8:55:36 time: 0.9245 data_time: 0.0330 memory: 11089 grad_norm: 4.2757 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9887 loss: 1.9887 2022/08/03 04:40:01 - mmengine - INFO - Epoch(train) [81][1760/1879] lr: 2.0000e-02 eta: 1 day, 8:55:17 time: 0.9183 data_time: 0.0273 memory: 11089 grad_norm: 4.3014 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1692 loss: 2.1692 2022/08/03 04:40:20 - mmengine - INFO - Epoch(train) [81][1780/1879] lr: 2.0000e-02 eta: 1 day, 8:54:59 time: 0.9158 data_time: 0.0324 memory: 11089 grad_norm: 4.2706 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0722 loss: 2.0722 2022/08/03 04:40:38 - mmengine - INFO - Epoch(train) [81][1800/1879] lr: 2.0000e-02 eta: 1 day, 8:54:41 time: 0.9078 data_time: 0.0262 memory: 11089 grad_norm: 4.1530 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9113 loss: 1.9113 2022/08/03 04:40:56 - mmengine - INFO - Epoch(train) [81][1820/1879] lr: 2.0000e-02 eta: 1 day, 8:54:22 time: 0.9053 data_time: 0.0254 memory: 11089 grad_norm: 4.2433 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8878 loss: 1.8878 2022/08/03 04:41:14 - mmengine - INFO - Epoch(train) [81][1840/1879] lr: 2.0000e-02 eta: 1 day, 8:54:04 time: 0.9147 data_time: 0.0302 memory: 11089 grad_norm: 4.2312 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8116 loss: 1.8116 2022/08/03 04:41:33 - mmengine - INFO - Epoch(train) [81][1860/1879] lr: 2.0000e-02 eta: 1 day, 8:53:46 time: 0.9245 data_time: 0.0246 memory: 11089 grad_norm: 4.2363 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0016 loss: 2.0016 2022/08/03 04:41:50 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 04:41:50 - mmengine - INFO - Epoch(train) [81][1879/1879] lr: 2.0000e-02 eta: 1 day, 8:53:46 time: 0.8913 data_time: 0.0196 memory: 11089 grad_norm: 4.4028 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.1485 loss: 2.1485 2022/08/03 04:42:10 - mmengine - INFO - Epoch(train) [82][20/1879] lr: 2.0000e-02 eta: 1 day, 8:52:57 time: 1.0142 data_time: 0.1209 memory: 11089 grad_norm: 4.1637 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8340 loss: 1.8340 2022/08/03 04:42:28 - mmengine - INFO - Epoch(train) [82][40/1879] lr: 2.0000e-02 eta: 1 day, 8:52:39 time: 0.8998 data_time: 0.0208 memory: 11089 grad_norm: 4.2319 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7842 loss: 1.7842 2022/08/03 04:42:47 - mmengine - INFO - Epoch(train) [82][60/1879] lr: 2.0000e-02 eta: 1 day, 8:52:21 time: 0.9382 data_time: 0.0252 memory: 11089 grad_norm: 4.1514 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9419 loss: 1.9419 2022/08/03 04:43:05 - mmengine - INFO - Epoch(train) [82][80/1879] lr: 2.0000e-02 eta: 1 day, 8:52:03 time: 0.9217 data_time: 0.0229 memory: 11089 grad_norm: 4.2990 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6859 loss: 1.6859 2022/08/03 04:43:24 - mmengine - INFO - Epoch(train) [82][100/1879] lr: 2.0000e-02 eta: 1 day, 8:51:45 time: 0.9195 data_time: 0.0275 memory: 11089 grad_norm: 4.2050 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9688 loss: 1.9688 2022/08/03 04:43:42 - mmengine - INFO - Epoch(train) [82][120/1879] lr: 2.0000e-02 eta: 1 day, 8:51:27 time: 0.9153 data_time: 0.0240 memory: 11089 grad_norm: 4.2659 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1341 loss: 2.1341 2022/08/03 04:44:00 - mmengine - INFO - Epoch(train) [82][140/1879] lr: 2.0000e-02 eta: 1 day, 8:51:08 time: 0.9150 data_time: 0.0267 memory: 11089 grad_norm: 4.1979 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8598 loss: 1.8598 2022/08/03 04:44:18 - mmengine - INFO - Epoch(train) [82][160/1879] lr: 2.0000e-02 eta: 1 day, 8:50:50 time: 0.9092 data_time: 0.0285 memory: 11089 grad_norm: 4.1091 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7563 loss: 1.7563 2022/08/03 04:44:37 - mmengine - INFO - Epoch(train) [82][180/1879] lr: 2.0000e-02 eta: 1 day, 8:50:32 time: 0.9066 data_time: 0.0242 memory: 11089 grad_norm: 4.2698 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8369 loss: 1.8369 2022/08/03 04:44:55 - mmengine - INFO - Epoch(train) [82][200/1879] lr: 2.0000e-02 eta: 1 day, 8:50:13 time: 0.9147 data_time: 0.0232 memory: 11089 grad_norm: 4.2712 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1243 loss: 2.1243 2022/08/03 04:45:13 - mmengine - INFO - Epoch(train) [82][220/1879] lr: 2.0000e-02 eta: 1 day, 8:49:55 time: 0.9142 data_time: 0.0270 memory: 11089 grad_norm: 4.2080 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0735 loss: 2.0735 2022/08/03 04:45:32 - mmengine - INFO - Epoch(train) [82][240/1879] lr: 2.0000e-02 eta: 1 day, 8:49:37 time: 0.9269 data_time: 0.0263 memory: 11089 grad_norm: 4.2387 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0240 loss: 2.0240 2022/08/03 04:45:50 - mmengine - INFO - Epoch(train) [82][260/1879] lr: 2.0000e-02 eta: 1 day, 8:49:19 time: 0.9073 data_time: 0.0220 memory: 11089 grad_norm: 4.2097 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6933 loss: 1.6933 2022/08/03 04:46:08 - mmengine - INFO - Epoch(train) [82][280/1879] lr: 2.0000e-02 eta: 1 day, 8:49:00 time: 0.8987 data_time: 0.0304 memory: 11089 grad_norm: 4.1708 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9517 loss: 1.9517 2022/08/03 04:46:26 - mmengine - INFO - Epoch(train) [82][300/1879] lr: 2.0000e-02 eta: 1 day, 8:48:42 time: 0.9307 data_time: 0.0308 memory: 11089 grad_norm: 4.2894 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8729 loss: 1.8729 2022/08/03 04:46:44 - mmengine - INFO - Epoch(train) [82][320/1879] lr: 2.0000e-02 eta: 1 day, 8:48:24 time: 0.8983 data_time: 0.0260 memory: 11089 grad_norm: 4.1775 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9696 loss: 1.9696 2022/08/03 04:47:03 - mmengine - INFO - Epoch(train) [82][340/1879] lr: 2.0000e-02 eta: 1 day, 8:48:06 time: 0.9185 data_time: 0.0299 memory: 11089 grad_norm: 4.1752 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0180 loss: 2.0180 2022/08/03 04:47:21 - mmengine - INFO - Epoch(train) [82][360/1879] lr: 2.0000e-02 eta: 1 day, 8:47:47 time: 0.9245 data_time: 0.0316 memory: 11089 grad_norm: 4.3338 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9349 loss: 1.9349 2022/08/03 04:47:40 - mmengine - INFO - Epoch(train) [82][380/1879] lr: 2.0000e-02 eta: 1 day, 8:47:30 time: 0.9359 data_time: 0.0251 memory: 11089 grad_norm: 4.2218 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7505 loss: 1.7505 2022/08/03 04:47:59 - mmengine - INFO - Epoch(train) [82][400/1879] lr: 2.0000e-02 eta: 1 day, 8:47:12 time: 0.9282 data_time: 0.0306 memory: 11089 grad_norm: 4.3053 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8156 loss: 1.8156 2022/08/03 04:48:17 - mmengine - INFO - Epoch(train) [82][420/1879] lr: 2.0000e-02 eta: 1 day, 8:46:53 time: 0.9165 data_time: 0.0323 memory: 11089 grad_norm: 4.1054 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6947 loss: 1.6947 2022/08/03 04:48:36 - mmengine - INFO - Epoch(train) [82][440/1879] lr: 2.0000e-02 eta: 1 day, 8:46:36 time: 0.9408 data_time: 0.0254 memory: 11089 grad_norm: 4.1364 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7820 loss: 1.7820 2022/08/03 04:48:54 - mmengine - INFO - Epoch(train) [82][460/1879] lr: 2.0000e-02 eta: 1 day, 8:46:17 time: 0.9056 data_time: 0.0254 memory: 11089 grad_norm: 4.2435 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1214 loss: 2.1214 2022/08/03 04:49:12 - mmengine - INFO - Epoch(train) [82][480/1879] lr: 2.0000e-02 eta: 1 day, 8:45:59 time: 0.8933 data_time: 0.0221 memory: 11089 grad_norm: 4.2715 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9136 loss: 1.9136 2022/08/03 04:49:30 - mmengine - INFO - Epoch(train) [82][500/1879] lr: 2.0000e-02 eta: 1 day, 8:45:40 time: 0.9050 data_time: 0.0219 memory: 11089 grad_norm: 4.2728 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9337 loss: 1.9337 2022/08/03 04:49:48 - mmengine - INFO - Epoch(train) [82][520/1879] lr: 2.0000e-02 eta: 1 day, 8:45:22 time: 0.9179 data_time: 0.0334 memory: 11089 grad_norm: 4.2129 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8271 loss: 1.8271 2022/08/03 04:50:07 - mmengine - INFO - Epoch(train) [82][540/1879] lr: 2.0000e-02 eta: 1 day, 8:45:04 time: 0.9302 data_time: 0.0255 memory: 11089 grad_norm: 4.2096 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9498 loss: 1.9498 2022/08/03 04:50:25 - mmengine - INFO - Epoch(train) [82][560/1879] lr: 2.0000e-02 eta: 1 day, 8:44:46 time: 0.9169 data_time: 0.0240 memory: 11089 grad_norm: 4.2292 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7768 loss: 1.7768 2022/08/03 04:50:44 - mmengine - INFO - Epoch(train) [82][580/1879] lr: 2.0000e-02 eta: 1 day, 8:44:28 time: 0.9364 data_time: 0.0316 memory: 11089 grad_norm: 4.2214 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8216 loss: 1.8216 2022/08/03 04:51:02 - mmengine - INFO - Epoch(train) [82][600/1879] lr: 2.0000e-02 eta: 1 day, 8:44:10 time: 0.9299 data_time: 0.0219 memory: 11089 grad_norm: 4.2941 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 1.9614 loss: 1.9614 2022/08/03 04:51:21 - mmengine - INFO - Epoch(train) [82][620/1879] lr: 2.0000e-02 eta: 1 day, 8:43:52 time: 0.9091 data_time: 0.0259 memory: 11089 grad_norm: 4.2478 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7954 loss: 1.7954 2022/08/03 04:51:39 - mmengine - INFO - Epoch(train) [82][640/1879] lr: 2.0000e-02 eta: 1 day, 8:43:33 time: 0.9065 data_time: 0.0257 memory: 11089 grad_norm: 4.1529 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.1460 loss: 2.1460 2022/08/03 04:51:57 - mmengine - INFO - Epoch(train) [82][660/1879] lr: 2.0000e-02 eta: 1 day, 8:43:15 time: 0.9113 data_time: 0.0266 memory: 11089 grad_norm: 4.3585 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9647 loss: 1.9647 2022/08/03 04:52:15 - mmengine - INFO - Epoch(train) [82][680/1879] lr: 2.0000e-02 eta: 1 day, 8:42:57 time: 0.9055 data_time: 0.0222 memory: 11089 grad_norm: 4.1776 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7245 loss: 1.7245 2022/08/03 04:52:34 - mmengine - INFO - Epoch(train) [82][700/1879] lr: 2.0000e-02 eta: 1 day, 8:42:39 time: 0.9427 data_time: 0.0379 memory: 11089 grad_norm: 4.2254 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7766 loss: 1.7766 2022/08/03 04:52:52 - mmengine - INFO - Epoch(train) [82][720/1879] lr: 2.0000e-02 eta: 1 day, 8:42:21 time: 0.9146 data_time: 0.0228 memory: 11089 grad_norm: 4.3084 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9808 loss: 1.9808 2022/08/03 04:53:11 - mmengine - INFO - Epoch(train) [82][740/1879] lr: 2.0000e-02 eta: 1 day, 8:42:02 time: 0.9160 data_time: 0.0264 memory: 11089 grad_norm: 4.2278 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8704 loss: 1.8704 2022/08/03 04:53:29 - mmengine - INFO - Epoch(train) [82][760/1879] lr: 2.0000e-02 eta: 1 day, 8:41:44 time: 0.8967 data_time: 0.0266 memory: 11089 grad_norm: 4.1011 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8145 loss: 1.8145 2022/08/03 04:53:47 - mmengine - INFO - Epoch(train) [82][780/1879] lr: 2.0000e-02 eta: 1 day, 8:41:26 time: 0.9116 data_time: 0.0260 memory: 11089 grad_norm: 4.2656 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8163 loss: 1.8163 2022/08/03 04:54:06 - mmengine - INFO - Epoch(train) [82][800/1879] lr: 2.0000e-02 eta: 1 day, 8:41:08 time: 0.9379 data_time: 0.0380 memory: 11089 grad_norm: 4.3029 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7820 loss: 1.7820 2022/08/03 04:54:06 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 04:54:24 - mmengine - INFO - Epoch(train) [82][820/1879] lr: 2.0000e-02 eta: 1 day, 8:40:49 time: 0.9158 data_time: 0.0241 memory: 11089 grad_norm: 4.1210 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8307 loss: 1.8307 2022/08/03 04:54:42 - mmengine - INFO - Epoch(train) [82][840/1879] lr: 2.0000e-02 eta: 1 day, 8:40:31 time: 0.9204 data_time: 0.0279 memory: 11089 grad_norm: 4.1802 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9935 loss: 1.9935 2022/08/03 04:55:00 - mmengine - INFO - Epoch(train) [82][860/1879] lr: 2.0000e-02 eta: 1 day, 8:40:13 time: 0.8987 data_time: 0.0220 memory: 11089 grad_norm: 4.1472 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 1.9562 loss: 1.9562 2022/08/03 04:55:19 - mmengine - INFO - Epoch(train) [82][880/1879] lr: 2.0000e-02 eta: 1 day, 8:39:55 time: 0.9202 data_time: 0.0268 memory: 11089 grad_norm: 4.1185 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7614 loss: 1.7614 2022/08/03 04:55:37 - mmengine - INFO - Epoch(train) [82][900/1879] lr: 2.0000e-02 eta: 1 day, 8:39:36 time: 0.9068 data_time: 0.0320 memory: 11089 grad_norm: 4.3101 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9470 loss: 1.9470 2022/08/03 04:55:55 - mmengine - INFO - Epoch(train) [82][920/1879] lr: 2.0000e-02 eta: 1 day, 8:39:18 time: 0.9234 data_time: 0.0268 memory: 11089 grad_norm: 4.2221 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9228 loss: 1.9228 2022/08/03 04:56:14 - mmengine - INFO - Epoch(train) [82][940/1879] lr: 2.0000e-02 eta: 1 day, 8:39:00 time: 0.9141 data_time: 0.0224 memory: 11089 grad_norm: 4.2334 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9554 loss: 1.9554 2022/08/03 04:56:32 - mmengine - INFO - Epoch(train) [82][960/1879] lr: 2.0000e-02 eta: 1 day, 8:38:42 time: 0.9076 data_time: 0.0252 memory: 11089 grad_norm: 4.2761 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8284 loss: 1.8284 2022/08/03 04:56:50 - mmengine - INFO - Epoch(train) [82][980/1879] lr: 2.0000e-02 eta: 1 day, 8:38:23 time: 0.9167 data_time: 0.0341 memory: 11089 grad_norm: 4.2471 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9928 loss: 1.9928 2022/08/03 04:57:08 - mmengine - INFO - Epoch(train) [82][1000/1879] lr: 2.0000e-02 eta: 1 day, 8:38:05 time: 0.9064 data_time: 0.0198 memory: 11089 grad_norm: 4.2875 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1808 loss: 2.1808 2022/08/03 04:57:27 - mmengine - INFO - Epoch(train) [82][1020/1879] lr: 2.0000e-02 eta: 1 day, 8:37:47 time: 0.9211 data_time: 0.0342 memory: 11089 grad_norm: 4.1983 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9206 loss: 1.9206 2022/08/03 04:57:45 - mmengine - INFO - Epoch(train) [82][1040/1879] lr: 2.0000e-02 eta: 1 day, 8:37:29 time: 0.9138 data_time: 0.0248 memory: 11089 grad_norm: 4.3305 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8318 loss: 1.8318 2022/08/03 04:58:03 - mmengine - INFO - Epoch(train) [82][1060/1879] lr: 2.0000e-02 eta: 1 day, 8:37:10 time: 0.9210 data_time: 0.0270 memory: 11089 grad_norm: 4.3026 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1394 loss: 2.1394 2022/08/03 04:58:22 - mmengine - INFO - Epoch(train) [82][1080/1879] lr: 2.0000e-02 eta: 1 day, 8:36:52 time: 0.9218 data_time: 0.0268 memory: 11089 grad_norm: 4.1142 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8896 loss: 1.8896 2022/08/03 04:58:40 - mmengine - INFO - Epoch(train) [82][1100/1879] lr: 2.0000e-02 eta: 1 day, 8:36:34 time: 0.9152 data_time: 0.0292 memory: 11089 grad_norm: 4.2527 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7503 loss: 1.7503 2022/08/03 04:58:58 - mmengine - INFO - Epoch(train) [82][1120/1879] lr: 2.0000e-02 eta: 1 day, 8:36:16 time: 0.8954 data_time: 0.0210 memory: 11089 grad_norm: 4.1134 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9112 loss: 1.9112 2022/08/03 04:59:16 - mmengine - INFO - Epoch(train) [82][1140/1879] lr: 2.0000e-02 eta: 1 day, 8:35:57 time: 0.9133 data_time: 0.0267 memory: 11089 grad_norm: 4.1652 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8353 loss: 1.8353 2022/08/03 04:59:34 - mmengine - INFO - Epoch(train) [82][1160/1879] lr: 2.0000e-02 eta: 1 day, 8:35:39 time: 0.9070 data_time: 0.0220 memory: 11089 grad_norm: 4.3242 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7235 loss: 1.7235 2022/08/03 04:59:53 - mmengine - INFO - Epoch(train) [82][1180/1879] lr: 2.0000e-02 eta: 1 day, 8:35:21 time: 0.9099 data_time: 0.0301 memory: 11089 grad_norm: 4.3859 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8550 loss: 1.8550 2022/08/03 05:00:11 - mmengine - INFO - Epoch(train) [82][1200/1879] lr: 2.0000e-02 eta: 1 day, 8:35:02 time: 0.9065 data_time: 0.0236 memory: 11089 grad_norm: 4.2897 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8474 loss: 1.8474 2022/08/03 05:00:29 - mmengine - INFO - Epoch(train) [82][1220/1879] lr: 2.0000e-02 eta: 1 day, 8:34:44 time: 0.9078 data_time: 0.0207 memory: 11089 grad_norm: 4.2960 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9347 loss: 1.9347 2022/08/03 05:00:47 - mmengine - INFO - Epoch(train) [82][1240/1879] lr: 2.0000e-02 eta: 1 day, 8:34:26 time: 0.9135 data_time: 0.0278 memory: 11089 grad_norm: 4.1325 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8876 loss: 1.8876 2022/08/03 05:01:05 - mmengine - INFO - Epoch(train) [82][1260/1879] lr: 2.0000e-02 eta: 1 day, 8:34:07 time: 0.9089 data_time: 0.0230 memory: 11089 grad_norm: 4.1635 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8891 loss: 1.8891 2022/08/03 05:01:24 - mmengine - INFO - Epoch(train) [82][1280/1879] lr: 2.0000e-02 eta: 1 day, 8:33:49 time: 0.9098 data_time: 0.0289 memory: 11089 grad_norm: 4.2009 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8344 loss: 1.8344 2022/08/03 05:01:42 - mmengine - INFO - Epoch(train) [82][1300/1879] lr: 2.0000e-02 eta: 1 day, 8:33:31 time: 0.9124 data_time: 0.0269 memory: 11089 grad_norm: 4.2066 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9099 loss: 1.9099 2022/08/03 05:02:00 - mmengine - INFO - Epoch(train) [82][1320/1879] lr: 2.0000e-02 eta: 1 day, 8:33:12 time: 0.9124 data_time: 0.0248 memory: 11089 grad_norm: 4.0551 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8683 loss: 1.8683 2022/08/03 05:02:18 - mmengine - INFO - Epoch(train) [82][1340/1879] lr: 2.0000e-02 eta: 1 day, 8:32:54 time: 0.9023 data_time: 0.0239 memory: 11089 grad_norm: 4.2082 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6311 loss: 1.6311 2022/08/03 05:02:36 - mmengine - INFO - Epoch(train) [82][1360/1879] lr: 2.0000e-02 eta: 1 day, 8:32:36 time: 0.9187 data_time: 0.0255 memory: 11089 grad_norm: 4.2095 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8648 loss: 1.8648 2022/08/03 05:02:55 - mmengine - INFO - Epoch(train) [82][1380/1879] lr: 2.0000e-02 eta: 1 day, 8:32:17 time: 0.9004 data_time: 0.0236 memory: 11089 grad_norm: 4.3045 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9610 loss: 1.9610 2022/08/03 05:03:13 - mmengine - INFO - Epoch(train) [82][1400/1879] lr: 2.0000e-02 eta: 1 day, 8:31:59 time: 0.9268 data_time: 0.0277 memory: 11089 grad_norm: 4.1773 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8943 loss: 1.8943 2022/08/03 05:03:31 - mmengine - INFO - Epoch(train) [82][1420/1879] lr: 2.0000e-02 eta: 1 day, 8:31:41 time: 0.9044 data_time: 0.0244 memory: 11089 grad_norm: 4.3188 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8840 loss: 1.8840 2022/08/03 05:03:49 - mmengine - INFO - Epoch(train) [82][1440/1879] lr: 2.0000e-02 eta: 1 day, 8:31:22 time: 0.8997 data_time: 0.0241 memory: 11089 grad_norm: 4.1753 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7975 loss: 1.7975 2022/08/03 05:04:08 - mmengine - INFO - Epoch(train) [82][1460/1879] lr: 2.0000e-02 eta: 1 day, 8:31:04 time: 0.9289 data_time: 0.0295 memory: 11089 grad_norm: 4.1399 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8222 loss: 1.8222 2022/08/03 05:04:26 - mmengine - INFO - Epoch(train) [82][1480/1879] lr: 2.0000e-02 eta: 1 day, 8:30:46 time: 0.8989 data_time: 0.0252 memory: 11089 grad_norm: 4.1267 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9092 loss: 1.9092 2022/08/03 05:04:44 - mmengine - INFO - Epoch(train) [82][1500/1879] lr: 2.0000e-02 eta: 1 day, 8:30:28 time: 0.9212 data_time: 0.0262 memory: 11089 grad_norm: 4.1316 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9634 loss: 1.9634 2022/08/03 05:05:03 - mmengine - INFO - Epoch(train) [82][1520/1879] lr: 2.0000e-02 eta: 1 day, 8:30:10 time: 0.9214 data_time: 0.0309 memory: 11089 grad_norm: 4.2744 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0004 loss: 2.0004 2022/08/03 05:05:21 - mmengine - INFO - Epoch(train) [82][1540/1879] lr: 2.0000e-02 eta: 1 day, 8:29:51 time: 0.9140 data_time: 0.0232 memory: 11089 grad_norm: 4.2095 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8439 loss: 1.8439 2022/08/03 05:05:39 - mmengine - INFO - Epoch(train) [82][1560/1879] lr: 2.0000e-02 eta: 1 day, 8:29:33 time: 0.9156 data_time: 0.0254 memory: 11089 grad_norm: 4.1164 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0388 loss: 2.0388 2022/08/03 05:05:58 - mmengine - INFO - Epoch(train) [82][1580/1879] lr: 2.0000e-02 eta: 1 day, 8:29:15 time: 0.9278 data_time: 0.0324 memory: 11089 grad_norm: 4.3166 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0914 loss: 2.0914 2022/08/03 05:06:16 - mmengine - INFO - Epoch(train) [82][1600/1879] lr: 2.0000e-02 eta: 1 day, 8:28:57 time: 0.8957 data_time: 0.0248 memory: 11089 grad_norm: 4.1644 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9564 loss: 1.9564 2022/08/03 05:06:34 - mmengine - INFO - Epoch(train) [82][1620/1879] lr: 2.0000e-02 eta: 1 day, 8:28:38 time: 0.9152 data_time: 0.0312 memory: 11089 grad_norm: 4.3059 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0742 loss: 2.0742 2022/08/03 05:06:52 - mmengine - INFO - Epoch(train) [82][1640/1879] lr: 2.0000e-02 eta: 1 day, 8:28:20 time: 0.9169 data_time: 0.0326 memory: 11089 grad_norm: 4.3220 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1517 loss: 2.1517 2022/08/03 05:07:11 - mmengine - INFO - Epoch(train) [82][1660/1879] lr: 2.0000e-02 eta: 1 day, 8:28:02 time: 0.9198 data_time: 0.0231 memory: 11089 grad_norm: 4.1584 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9149 loss: 1.9149 2022/08/03 05:07:29 - mmengine - INFO - Epoch(train) [82][1680/1879] lr: 2.0000e-02 eta: 1 day, 8:27:44 time: 0.9166 data_time: 0.0301 memory: 11089 grad_norm: 4.1016 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7798 loss: 1.7798 2022/08/03 05:07:48 - mmengine - INFO - Epoch(train) [82][1700/1879] lr: 2.0000e-02 eta: 1 day, 8:27:26 time: 0.9246 data_time: 0.0317 memory: 11089 grad_norm: 4.3526 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9112 loss: 1.9112 2022/08/03 05:08:06 - mmengine - INFO - Epoch(train) [82][1720/1879] lr: 2.0000e-02 eta: 1 day, 8:27:07 time: 0.9146 data_time: 0.0243 memory: 11089 grad_norm: 4.2441 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0254 loss: 2.0254 2022/08/03 05:08:24 - mmengine - INFO - Epoch(train) [82][1740/1879] lr: 2.0000e-02 eta: 1 day, 8:26:49 time: 0.9142 data_time: 0.0238 memory: 11089 grad_norm: 4.1783 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.8861 loss: 1.8861 2022/08/03 05:08:42 - mmengine - INFO - Epoch(train) [82][1760/1879] lr: 2.0000e-02 eta: 1 day, 8:26:31 time: 0.9050 data_time: 0.0220 memory: 11089 grad_norm: 4.2726 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3038 loss: 2.3038 2022/08/03 05:09:00 - mmengine - INFO - Epoch(train) [82][1780/1879] lr: 2.0000e-02 eta: 1 day, 8:26:13 time: 0.9132 data_time: 0.0305 memory: 11089 grad_norm: 4.2157 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.0601 loss: 2.0601 2022/08/03 05:09:19 - mmengine - INFO - Epoch(train) [82][1800/1879] lr: 2.0000e-02 eta: 1 day, 8:25:54 time: 0.9085 data_time: 0.0215 memory: 11089 grad_norm: 4.2671 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8733 loss: 1.8733 2022/08/03 05:09:20 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 05:09:37 - mmengine - INFO - Epoch(train) [82][1820/1879] lr: 2.0000e-02 eta: 1 day, 8:25:36 time: 0.9178 data_time: 0.0272 memory: 11089 grad_norm: 4.2115 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9995 loss: 1.9995 2022/08/03 05:09:55 - mmengine - INFO - Epoch(train) [82][1840/1879] lr: 2.0000e-02 eta: 1 day, 8:25:17 time: 0.8988 data_time: 0.0254 memory: 11089 grad_norm: 4.0490 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9472 loss: 1.9472 2022/08/03 05:10:14 - mmengine - INFO - Epoch(train) [82][1860/1879] lr: 2.0000e-02 eta: 1 day, 8:25:00 time: 0.9312 data_time: 0.0331 memory: 11089 grad_norm: 4.1910 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9947 loss: 1.9947 2022/08/03 05:10:30 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 05:10:30 - mmengine - INFO - Epoch(train) [82][1879/1879] lr: 2.0000e-02 eta: 1 day, 8:25:00 time: 0.8914 data_time: 0.0305 memory: 11089 grad_norm: 4.2419 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.0812 loss: 2.0812 2022/08/03 05:10:51 - mmengine - INFO - Epoch(train) [83][20/1879] lr: 2.0000e-02 eta: 1 day, 8:24:11 time: 1.0156 data_time: 0.1314 memory: 11089 grad_norm: 4.2417 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7595 loss: 1.7595 2022/08/03 05:11:09 - mmengine - INFO - Epoch(train) [83][40/1879] lr: 2.0000e-02 eta: 1 day, 8:23:53 time: 0.8939 data_time: 0.0229 memory: 11089 grad_norm: 4.1938 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9343 loss: 1.9343 2022/08/03 05:11:27 - mmengine - INFO - Epoch(train) [83][60/1879] lr: 2.0000e-02 eta: 1 day, 8:23:34 time: 0.9176 data_time: 0.0250 memory: 11089 grad_norm: 4.1323 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9198 loss: 1.9198 2022/08/03 05:11:45 - mmengine - INFO - Epoch(train) [83][80/1879] lr: 2.0000e-02 eta: 1 day, 8:23:16 time: 0.9072 data_time: 0.0262 memory: 11089 grad_norm: 4.1889 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7570 loss: 1.7570 2022/08/03 05:12:04 - mmengine - INFO - Epoch(train) [83][100/1879] lr: 2.0000e-02 eta: 1 day, 8:22:58 time: 0.9213 data_time: 0.0244 memory: 11089 grad_norm: 4.2868 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8262 loss: 1.8262 2022/08/03 05:12:22 - mmengine - INFO - Epoch(train) [83][120/1879] lr: 2.0000e-02 eta: 1 day, 8:22:40 time: 0.9185 data_time: 0.0313 memory: 11089 grad_norm: 4.1888 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8827 loss: 1.8827 2022/08/03 05:12:40 - mmengine - INFO - Epoch(train) [83][140/1879] lr: 2.0000e-02 eta: 1 day, 8:22:21 time: 0.9090 data_time: 0.0214 memory: 11089 grad_norm: 4.1848 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0158 loss: 2.0158 2022/08/03 05:12:58 - mmengine - INFO - Epoch(train) [83][160/1879] lr: 2.0000e-02 eta: 1 day, 8:22:03 time: 0.9060 data_time: 0.0226 memory: 11089 grad_norm: 4.3564 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8555 loss: 1.8555 2022/08/03 05:13:17 - mmengine - INFO - Epoch(train) [83][180/1879] lr: 2.0000e-02 eta: 1 day, 8:21:45 time: 0.9208 data_time: 0.0277 memory: 11089 grad_norm: 4.1862 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7960 loss: 1.7960 2022/08/03 05:13:35 - mmengine - INFO - Epoch(train) [83][200/1879] lr: 2.0000e-02 eta: 1 day, 8:21:27 time: 0.9103 data_time: 0.0258 memory: 11089 grad_norm: 4.2047 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0566 loss: 2.0566 2022/08/03 05:13:53 - mmengine - INFO - Epoch(train) [83][220/1879] lr: 2.0000e-02 eta: 1 day, 8:21:08 time: 0.9160 data_time: 0.0224 memory: 11089 grad_norm: 4.1753 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9163 loss: 1.9163 2022/08/03 05:14:11 - mmengine - INFO - Epoch(train) [83][240/1879] lr: 2.0000e-02 eta: 1 day, 8:20:50 time: 0.9019 data_time: 0.0219 memory: 11089 grad_norm: 4.2079 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9775 loss: 1.9775 2022/08/03 05:14:30 - mmengine - INFO - Epoch(train) [83][260/1879] lr: 2.0000e-02 eta: 1 day, 8:20:32 time: 0.9113 data_time: 0.0259 memory: 11089 grad_norm: 4.2055 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7402 loss: 1.7402 2022/08/03 05:14:48 - mmengine - INFO - Epoch(train) [83][280/1879] lr: 2.0000e-02 eta: 1 day, 8:20:13 time: 0.9035 data_time: 0.0211 memory: 11089 grad_norm: 4.1655 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9473 loss: 1.9473 2022/08/03 05:15:06 - mmengine - INFO - Epoch(train) [83][300/1879] lr: 2.0000e-02 eta: 1 day, 8:19:55 time: 0.9224 data_time: 0.0272 memory: 11089 grad_norm: 4.1211 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9157 loss: 1.9157 2022/08/03 05:15:24 - mmengine - INFO - Epoch(train) [83][320/1879] lr: 2.0000e-02 eta: 1 day, 8:19:37 time: 0.9067 data_time: 0.0247 memory: 11089 grad_norm: 4.2813 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9327 loss: 1.9327 2022/08/03 05:15:42 - mmengine - INFO - Epoch(train) [83][340/1879] lr: 2.0000e-02 eta: 1 day, 8:19:18 time: 0.9049 data_time: 0.0240 memory: 11089 grad_norm: 4.2494 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5203 loss: 1.5203 2022/08/03 05:16:01 - mmengine - INFO - Epoch(train) [83][360/1879] lr: 2.0000e-02 eta: 1 day, 8:19:00 time: 0.9191 data_time: 0.0252 memory: 11089 grad_norm: 4.1839 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8551 loss: 1.8551 2022/08/03 05:16:19 - mmengine - INFO - Epoch(train) [83][380/1879] lr: 2.0000e-02 eta: 1 day, 8:18:42 time: 0.9070 data_time: 0.0247 memory: 11089 grad_norm: 4.1132 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9442 loss: 1.9442 2022/08/03 05:16:37 - mmengine - INFO - Epoch(train) [83][400/1879] lr: 2.0000e-02 eta: 1 day, 8:18:23 time: 0.9056 data_time: 0.0251 memory: 11089 grad_norm: 4.3121 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0995 loss: 2.0995 2022/08/03 05:16:55 - mmengine - INFO - Epoch(train) [83][420/1879] lr: 2.0000e-02 eta: 1 day, 8:18:05 time: 0.8977 data_time: 0.0192 memory: 11089 grad_norm: 4.2801 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7939 loss: 1.7939 2022/08/03 05:17:13 - mmengine - INFO - Epoch(train) [83][440/1879] lr: 2.0000e-02 eta: 1 day, 8:17:46 time: 0.8984 data_time: 0.0223 memory: 11089 grad_norm: 4.2979 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.9600 loss: 1.9600 2022/08/03 05:17:31 - mmengine - INFO - Epoch(train) [83][460/1879] lr: 2.0000e-02 eta: 1 day, 8:17:28 time: 0.9189 data_time: 0.0243 memory: 11089 grad_norm: 4.2460 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6817 loss: 1.6817 2022/08/03 05:17:50 - mmengine - INFO - Epoch(train) [83][480/1879] lr: 2.0000e-02 eta: 1 day, 8:17:10 time: 0.9191 data_time: 0.0267 memory: 11089 grad_norm: 4.1831 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.0248 loss: 2.0248 2022/08/03 05:18:08 - mmengine - INFO - Epoch(train) [83][500/1879] lr: 2.0000e-02 eta: 1 day, 8:16:52 time: 0.9127 data_time: 0.0337 memory: 11089 grad_norm: 4.1242 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8778 loss: 1.8778 2022/08/03 05:18:26 - mmengine - INFO - Epoch(train) [83][520/1879] lr: 2.0000e-02 eta: 1 day, 8:16:34 time: 0.9264 data_time: 0.0274 memory: 11089 grad_norm: 4.2252 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9873 loss: 1.9873 2022/08/03 05:18:44 - mmengine - INFO - Epoch(train) [83][540/1879] lr: 2.0000e-02 eta: 1 day, 8:16:15 time: 0.9008 data_time: 0.0220 memory: 11089 grad_norm: 4.2921 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9163 loss: 1.9163 2022/08/03 05:19:03 - mmengine - INFO - Epoch(train) [83][560/1879] lr: 2.0000e-02 eta: 1 day, 8:15:57 time: 0.9097 data_time: 0.0263 memory: 11089 grad_norm: 4.2779 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7909 loss: 1.7909 2022/08/03 05:19:21 - mmengine - INFO - Epoch(train) [83][580/1879] lr: 2.0000e-02 eta: 1 day, 8:15:39 time: 0.9118 data_time: 0.0252 memory: 11089 grad_norm: 4.3085 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9522 loss: 1.9522 2022/08/03 05:19:39 - mmengine - INFO - Epoch(train) [83][600/1879] lr: 2.0000e-02 eta: 1 day, 8:15:20 time: 0.9030 data_time: 0.0271 memory: 11089 grad_norm: 4.1811 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0160 loss: 2.0160 2022/08/03 05:19:57 - mmengine - INFO - Epoch(train) [83][620/1879] lr: 2.0000e-02 eta: 1 day, 8:15:02 time: 0.9149 data_time: 0.0313 memory: 11089 grad_norm: 4.0813 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7924 loss: 1.7924 2022/08/03 05:20:15 - mmengine - INFO - Epoch(train) [83][640/1879] lr: 2.0000e-02 eta: 1 day, 8:14:44 time: 0.9066 data_time: 0.0329 memory: 11089 grad_norm: 4.2216 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9247 loss: 1.9247 2022/08/03 05:20:33 - mmengine - INFO - Epoch(train) [83][660/1879] lr: 2.0000e-02 eta: 1 day, 8:14:25 time: 0.8980 data_time: 0.0249 memory: 11089 grad_norm: 4.2932 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9651 loss: 1.9651 2022/08/03 05:20:52 - mmengine - INFO - Epoch(train) [83][680/1879] lr: 2.0000e-02 eta: 1 day, 8:14:07 time: 0.9068 data_time: 0.0249 memory: 11089 grad_norm: 4.1875 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8396 loss: 1.8396 2022/08/03 05:21:10 - mmengine - INFO - Epoch(train) [83][700/1879] lr: 2.0000e-02 eta: 1 day, 8:13:49 time: 0.9245 data_time: 0.0338 memory: 11089 grad_norm: 4.2328 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0550 loss: 2.0550 2022/08/03 05:21:28 - mmengine - INFO - Epoch(train) [83][720/1879] lr: 2.0000e-02 eta: 1 day, 8:13:31 time: 0.9173 data_time: 0.0313 memory: 11089 grad_norm: 4.2493 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7756 loss: 1.7756 2022/08/03 05:21:47 - mmengine - INFO - Epoch(train) [83][740/1879] lr: 2.0000e-02 eta: 1 day, 8:13:12 time: 0.9081 data_time: 0.0338 memory: 11089 grad_norm: 4.3160 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8833 loss: 1.8833 2022/08/03 05:22:05 - mmengine - INFO - Epoch(train) [83][760/1879] lr: 2.0000e-02 eta: 1 day, 8:12:54 time: 0.9126 data_time: 0.0343 memory: 11089 grad_norm: 4.2834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8425 loss: 1.8425 2022/08/03 05:22:23 - mmengine - INFO - Epoch(train) [83][780/1879] lr: 2.0000e-02 eta: 1 day, 8:12:36 time: 0.9267 data_time: 0.0262 memory: 11089 grad_norm: 4.1488 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7986 loss: 1.7986 2022/08/03 05:22:42 - mmengine - INFO - Epoch(train) [83][800/1879] lr: 2.0000e-02 eta: 1 day, 8:12:18 time: 0.9218 data_time: 0.0305 memory: 11089 grad_norm: 4.0943 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8490 loss: 1.8490 2022/08/03 05:23:00 - mmengine - INFO - Epoch(train) [83][820/1879] lr: 2.0000e-02 eta: 1 day, 8:12:00 time: 0.9204 data_time: 0.0298 memory: 11089 grad_norm: 4.2097 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.7382 loss: 1.7382 2022/08/03 05:23:18 - mmengine - INFO - Epoch(train) [83][840/1879] lr: 2.0000e-02 eta: 1 day, 8:11:41 time: 0.9061 data_time: 0.0229 memory: 11089 grad_norm: 4.2839 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1053 loss: 2.1053 2022/08/03 05:23:36 - mmengine - INFO - Epoch(train) [83][860/1879] lr: 2.0000e-02 eta: 1 day, 8:11:23 time: 0.9097 data_time: 0.0247 memory: 11089 grad_norm: 4.2050 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0607 loss: 2.0607 2022/08/03 05:23:55 - mmengine - INFO - Epoch(train) [83][880/1879] lr: 2.0000e-02 eta: 1 day, 8:11:05 time: 0.9044 data_time: 0.0275 memory: 11089 grad_norm: 4.2321 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9796 loss: 1.9796 2022/08/03 05:24:13 - mmengine - INFO - Epoch(train) [83][900/1879] lr: 2.0000e-02 eta: 1 day, 8:10:46 time: 0.9191 data_time: 0.0246 memory: 11089 grad_norm: 4.3208 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0912 loss: 2.0912 2022/08/03 05:24:31 - mmengine - INFO - Epoch(train) [83][920/1879] lr: 2.0000e-02 eta: 1 day, 8:10:28 time: 0.9218 data_time: 0.0247 memory: 11089 grad_norm: 4.1863 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9346 loss: 1.9346 2022/08/03 05:24:33 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 05:24:50 - mmengine - INFO - Epoch(train) [83][940/1879] lr: 2.0000e-02 eta: 1 day, 8:10:10 time: 0.9135 data_time: 0.0310 memory: 11089 grad_norm: 4.1871 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9348 loss: 1.9348 2022/08/03 05:25:08 - mmengine - INFO - Epoch(train) [83][960/1879] lr: 2.0000e-02 eta: 1 day, 8:09:52 time: 0.9099 data_time: 0.0241 memory: 11089 grad_norm: 4.2168 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8713 loss: 1.8713 2022/08/03 05:25:26 - mmengine - INFO - Epoch(train) [83][980/1879] lr: 2.0000e-02 eta: 1 day, 8:09:33 time: 0.9158 data_time: 0.0251 memory: 11089 grad_norm: 4.2382 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9319 loss: 1.9319 2022/08/03 05:25:44 - mmengine - INFO - Epoch(train) [83][1000/1879] lr: 2.0000e-02 eta: 1 day, 8:09:15 time: 0.9012 data_time: 0.0262 memory: 11089 grad_norm: 4.2231 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0658 loss: 2.0658 2022/08/03 05:26:03 - mmengine - INFO - Epoch(train) [83][1020/1879] lr: 2.0000e-02 eta: 1 day, 8:08:57 time: 0.9229 data_time: 0.0242 memory: 11089 grad_norm: 4.2437 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8440 loss: 1.8440 2022/08/03 05:26:21 - mmengine - INFO - Epoch(train) [83][1040/1879] lr: 2.0000e-02 eta: 1 day, 8:08:39 time: 0.9122 data_time: 0.0259 memory: 11089 grad_norm: 4.0985 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0105 loss: 2.0105 2022/08/03 05:26:40 - mmengine - INFO - Epoch(train) [83][1060/1879] lr: 2.0000e-02 eta: 1 day, 8:08:21 time: 0.9523 data_time: 0.0363 memory: 11089 grad_norm: 4.2829 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9190 loss: 1.9190 2022/08/03 05:26:59 - mmengine - INFO - Epoch(train) [83][1080/1879] lr: 2.0000e-02 eta: 1 day, 8:08:03 time: 0.9266 data_time: 0.0317 memory: 11089 grad_norm: 4.3355 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1226 loss: 2.1226 2022/08/03 05:27:17 - mmengine - INFO - Epoch(train) [83][1100/1879] lr: 2.0000e-02 eta: 1 day, 8:07:45 time: 0.9216 data_time: 0.0238 memory: 11089 grad_norm: 4.2449 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0890 loss: 2.0890 2022/08/03 05:27:36 - mmengine - INFO - Epoch(train) [83][1120/1879] lr: 2.0000e-02 eta: 1 day, 8:07:27 time: 0.9340 data_time: 0.0261 memory: 11089 grad_norm: 4.2234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6922 loss: 1.6922 2022/08/03 05:27:54 - mmengine - INFO - Epoch(train) [83][1140/1879] lr: 2.0000e-02 eta: 1 day, 8:07:09 time: 0.9112 data_time: 0.0251 memory: 11089 grad_norm: 4.3363 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9572 loss: 1.9572 2022/08/03 05:28:12 - mmengine - INFO - Epoch(train) [83][1160/1879] lr: 2.0000e-02 eta: 1 day, 8:06:50 time: 0.8949 data_time: 0.0227 memory: 11089 grad_norm: 4.3086 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8728 loss: 1.8728 2022/08/03 05:28:30 - mmengine - INFO - Epoch(train) [83][1180/1879] lr: 2.0000e-02 eta: 1 day, 8:06:32 time: 0.9083 data_time: 0.0292 memory: 11089 grad_norm: 4.2216 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9659 loss: 1.9659 2022/08/03 05:28:48 - mmengine - INFO - Epoch(train) [83][1200/1879] lr: 2.0000e-02 eta: 1 day, 8:06:13 time: 0.9023 data_time: 0.0241 memory: 11089 grad_norm: 4.0798 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9414 loss: 1.9414 2022/08/03 05:29:06 - mmengine - INFO - Epoch(train) [83][1220/1879] lr: 2.0000e-02 eta: 1 day, 8:05:55 time: 0.9087 data_time: 0.0199 memory: 11089 grad_norm: 4.2293 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0781 loss: 2.0781 2022/08/03 05:29:24 - mmengine - INFO - Epoch(train) [83][1240/1879] lr: 2.0000e-02 eta: 1 day, 8:05:37 time: 0.9046 data_time: 0.0238 memory: 11089 grad_norm: 4.2941 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8170 loss: 1.8170 2022/08/03 05:29:43 - mmengine - INFO - Epoch(train) [83][1260/1879] lr: 2.0000e-02 eta: 1 day, 8:05:18 time: 0.9122 data_time: 0.0295 memory: 11089 grad_norm: 4.0673 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0080 loss: 2.0080 2022/08/03 05:30:01 - mmengine - INFO - Epoch(train) [83][1280/1879] lr: 2.0000e-02 eta: 1 day, 8:05:00 time: 0.9223 data_time: 0.0214 memory: 11089 grad_norm: 4.1591 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0659 loss: 2.0659 2022/08/03 05:30:19 - mmengine - INFO - Epoch(train) [83][1300/1879] lr: 2.0000e-02 eta: 1 day, 8:04:42 time: 0.9094 data_time: 0.0263 memory: 11089 grad_norm: 4.2050 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1039 loss: 2.1039 2022/08/03 05:30:38 - mmengine - INFO - Epoch(train) [83][1320/1879] lr: 2.0000e-02 eta: 1 day, 8:04:24 time: 0.9189 data_time: 0.0266 memory: 11089 grad_norm: 4.2345 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9042 loss: 1.9042 2022/08/03 05:30:55 - mmengine - INFO - Epoch(train) [83][1340/1879] lr: 2.0000e-02 eta: 1 day, 8:04:05 time: 0.8972 data_time: 0.0307 memory: 11089 grad_norm: 4.2406 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9359 loss: 1.9359 2022/08/03 05:31:14 - mmengine - INFO - Epoch(train) [83][1360/1879] lr: 2.0000e-02 eta: 1 day, 8:03:47 time: 0.9246 data_time: 0.0253 memory: 11089 grad_norm: 4.1418 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9331 loss: 1.9331 2022/08/03 05:31:32 - mmengine - INFO - Epoch(train) [83][1380/1879] lr: 2.0000e-02 eta: 1 day, 8:03:29 time: 0.9194 data_time: 0.0264 memory: 11089 grad_norm: 4.1673 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8083 loss: 1.8083 2022/08/03 05:31:51 - mmengine - INFO - Epoch(train) [83][1400/1879] lr: 2.0000e-02 eta: 1 day, 8:03:11 time: 0.9136 data_time: 0.0307 memory: 11089 grad_norm: 4.1550 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9044 loss: 1.9044 2022/08/03 05:32:09 - mmengine - INFO - Epoch(train) [83][1420/1879] lr: 2.0000e-02 eta: 1 day, 8:02:52 time: 0.9174 data_time: 0.0245 memory: 11089 grad_norm: 4.2341 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8882 loss: 1.8882 2022/08/03 05:32:27 - mmengine - INFO - Epoch(train) [83][1440/1879] lr: 2.0000e-02 eta: 1 day, 8:02:34 time: 0.9122 data_time: 0.0280 memory: 11089 grad_norm: 4.2468 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9858 loss: 1.9858 2022/08/03 05:32:46 - mmengine - INFO - Epoch(train) [83][1460/1879] lr: 2.0000e-02 eta: 1 day, 8:02:16 time: 0.9185 data_time: 0.0309 memory: 11089 grad_norm: 4.1760 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.0586 loss: 2.0586 2022/08/03 05:33:04 - mmengine - INFO - Epoch(train) [83][1480/1879] lr: 2.0000e-02 eta: 1 day, 8:01:58 time: 0.9071 data_time: 0.0207 memory: 11089 grad_norm: 4.3503 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8883 loss: 1.8883 2022/08/03 05:33:22 - mmengine - INFO - Epoch(train) [83][1500/1879] lr: 2.0000e-02 eta: 1 day, 8:01:39 time: 0.9180 data_time: 0.0256 memory: 11089 grad_norm: 4.2884 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9485 loss: 1.9485 2022/08/03 05:33:41 - mmengine - INFO - Epoch(train) [83][1520/1879] lr: 2.0000e-02 eta: 1 day, 8:01:22 time: 0.9358 data_time: 0.0318 memory: 11089 grad_norm: 4.3421 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8890 loss: 1.8890 2022/08/03 05:34:00 - mmengine - INFO - Epoch(train) [83][1540/1879] lr: 2.0000e-02 eta: 1 day, 8:01:04 time: 0.9402 data_time: 0.0321 memory: 11089 grad_norm: 4.2346 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9231 loss: 1.9231 2022/08/03 05:34:18 - mmengine - INFO - Epoch(train) [83][1560/1879] lr: 2.0000e-02 eta: 1 day, 8:00:45 time: 0.9018 data_time: 0.0234 memory: 11089 grad_norm: 4.1799 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8201 loss: 1.8201 2022/08/03 05:34:36 - mmengine - INFO - Epoch(train) [83][1580/1879] lr: 2.0000e-02 eta: 1 day, 8:00:27 time: 0.9222 data_time: 0.0246 memory: 11089 grad_norm: 4.2664 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1300 loss: 2.1300 2022/08/03 05:34:54 - mmengine - INFO - Epoch(train) [83][1600/1879] lr: 2.0000e-02 eta: 1 day, 8:00:09 time: 0.8999 data_time: 0.0242 memory: 11089 grad_norm: 4.1446 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0178 loss: 2.0178 2022/08/03 05:35:12 - mmengine - INFO - Epoch(train) [83][1620/1879] lr: 2.0000e-02 eta: 1 day, 7:59:51 time: 0.9162 data_time: 0.0239 memory: 11089 grad_norm: 4.3272 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1005 loss: 2.1005 2022/08/03 05:35:30 - mmengine - INFO - Epoch(train) [83][1640/1879] lr: 2.0000e-02 eta: 1 day, 7:59:32 time: 0.8985 data_time: 0.0236 memory: 11089 grad_norm: 4.1881 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1238 loss: 2.1238 2022/08/03 05:35:49 - mmengine - INFO - Epoch(train) [83][1660/1879] lr: 2.0000e-02 eta: 1 day, 7:59:14 time: 0.9486 data_time: 0.0319 memory: 11089 grad_norm: 4.2975 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9077 loss: 1.9077 2022/08/03 05:36:08 - mmengine - INFO - Epoch(train) [83][1680/1879] lr: 2.0000e-02 eta: 1 day, 7:58:56 time: 0.9205 data_time: 0.0304 memory: 11089 grad_norm: 4.3075 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8317 loss: 1.8317 2022/08/03 05:36:26 - mmengine - INFO - Epoch(train) [83][1700/1879] lr: 2.0000e-02 eta: 1 day, 7:58:38 time: 0.9212 data_time: 0.0307 memory: 11089 grad_norm: 4.1861 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9621 loss: 1.9621 2022/08/03 05:36:45 - mmengine - INFO - Epoch(train) [83][1720/1879] lr: 2.0000e-02 eta: 1 day, 7:58:20 time: 0.9116 data_time: 0.0288 memory: 11089 grad_norm: 4.1792 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8688 loss: 1.8688 2022/08/03 05:37:03 - mmengine - INFO - Epoch(train) [83][1740/1879] lr: 2.0000e-02 eta: 1 day, 7:58:02 time: 0.9133 data_time: 0.0283 memory: 11089 grad_norm: 4.2565 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9143 loss: 1.9143 2022/08/03 05:37:21 - mmengine - INFO - Epoch(train) [83][1760/1879] lr: 2.0000e-02 eta: 1 day, 7:57:43 time: 0.9243 data_time: 0.0255 memory: 11089 grad_norm: 4.2893 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9337 loss: 1.9337 2022/08/03 05:37:40 - mmengine - INFO - Epoch(train) [83][1780/1879] lr: 2.0000e-02 eta: 1 day, 7:57:25 time: 0.9232 data_time: 0.0284 memory: 11089 grad_norm: 4.1353 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0239 loss: 2.0239 2022/08/03 05:37:58 - mmengine - INFO - Epoch(train) [83][1800/1879] lr: 2.0000e-02 eta: 1 day, 7:57:07 time: 0.9079 data_time: 0.0266 memory: 11089 grad_norm: 4.1245 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9616 loss: 1.9616 2022/08/03 05:38:16 - mmengine - INFO - Epoch(train) [83][1820/1879] lr: 2.0000e-02 eta: 1 day, 7:56:49 time: 0.9029 data_time: 0.0179 memory: 11089 grad_norm: 4.2311 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9666 loss: 1.9666 2022/08/03 05:38:34 - mmengine - INFO - Epoch(train) [83][1840/1879] lr: 2.0000e-02 eta: 1 day, 7:56:30 time: 0.9149 data_time: 0.0268 memory: 11089 grad_norm: 4.2217 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8212 loss: 1.8212 2022/08/03 05:38:53 - mmengine - INFO - Epoch(train) [83][1860/1879] lr: 2.0000e-02 eta: 1 day, 7:56:12 time: 0.9288 data_time: 0.0263 memory: 11089 grad_norm: 4.1486 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0022 loss: 2.0022 2022/08/03 05:39:10 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 05:39:10 - mmengine - INFO - Epoch(train) [83][1879/1879] lr: 2.0000e-02 eta: 1 day, 7:56:12 time: 0.8911 data_time: 0.0254 memory: 11089 grad_norm: 4.3632 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.9911 loss: 1.9911 2022/08/03 05:39:30 - mmengine - INFO - Epoch(train) [84][20/1879] lr: 2.0000e-02 eta: 1 day, 7:55:24 time: 0.9871 data_time: 0.1193 memory: 11089 grad_norm: 4.1584 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9468 loss: 1.9468 2022/08/03 05:39:48 - mmengine - INFO - Epoch(train) [84][40/1879] lr: 2.0000e-02 eta: 1 day, 7:55:06 time: 0.9267 data_time: 0.0291 memory: 11089 grad_norm: 4.1980 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7306 loss: 1.7306 2022/08/03 05:39:51 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 05:40:06 - mmengine - INFO - Epoch(train) [84][60/1879] lr: 2.0000e-02 eta: 1 day, 7:54:48 time: 0.9076 data_time: 0.0235 memory: 11089 grad_norm: 4.2063 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8367 loss: 1.8367 2022/08/03 05:40:24 - mmengine - INFO - Epoch(train) [84][80/1879] lr: 2.0000e-02 eta: 1 day, 7:54:29 time: 0.9024 data_time: 0.0275 memory: 11089 grad_norm: 4.2306 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7046 loss: 1.7046 2022/08/03 05:40:43 - mmengine - INFO - Epoch(train) [84][100/1879] lr: 2.0000e-02 eta: 1 day, 7:54:11 time: 0.9119 data_time: 0.0290 memory: 11089 grad_norm: 4.2504 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9470 loss: 1.9470 2022/08/03 05:41:01 - mmengine - INFO - Epoch(train) [84][120/1879] lr: 2.0000e-02 eta: 1 day, 7:53:53 time: 0.9121 data_time: 0.0241 memory: 11089 grad_norm: 4.1989 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8547 loss: 1.8547 2022/08/03 05:41:19 - mmengine - INFO - Epoch(train) [84][140/1879] lr: 2.0000e-02 eta: 1 day, 7:53:34 time: 0.9047 data_time: 0.0235 memory: 11089 grad_norm: 4.2720 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7555 loss: 1.7555 2022/08/03 05:41:37 - mmengine - INFO - Epoch(train) [84][160/1879] lr: 2.0000e-02 eta: 1 day, 7:53:16 time: 0.9219 data_time: 0.0324 memory: 11089 grad_norm: 4.2710 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1109 loss: 2.1109 2022/08/03 05:41:56 - mmengine - INFO - Epoch(train) [84][180/1879] lr: 2.0000e-02 eta: 1 day, 7:52:58 time: 0.9079 data_time: 0.0257 memory: 11089 grad_norm: 4.1609 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7754 loss: 1.7754 2022/08/03 05:42:14 - mmengine - INFO - Epoch(train) [84][200/1879] lr: 2.0000e-02 eta: 1 day, 7:52:39 time: 0.9039 data_time: 0.0219 memory: 11089 grad_norm: 4.2074 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9936 loss: 1.9936 2022/08/03 05:42:32 - mmengine - INFO - Epoch(train) [84][220/1879] lr: 2.0000e-02 eta: 1 day, 7:52:21 time: 0.9160 data_time: 0.0276 memory: 11089 grad_norm: 4.2720 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8321 loss: 1.8321 2022/08/03 05:42:50 - mmengine - INFO - Epoch(train) [84][240/1879] lr: 2.0000e-02 eta: 1 day, 7:52:03 time: 0.9073 data_time: 0.0244 memory: 11089 grad_norm: 4.1709 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8693 loss: 1.8693 2022/08/03 05:43:08 - mmengine - INFO - Epoch(train) [84][260/1879] lr: 2.0000e-02 eta: 1 day, 7:51:44 time: 0.9069 data_time: 0.0250 memory: 11089 grad_norm: 4.1940 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7711 loss: 1.7711 2022/08/03 05:43:26 - mmengine - INFO - Epoch(train) [84][280/1879] lr: 2.0000e-02 eta: 1 day, 7:51:26 time: 0.8869 data_time: 0.0178 memory: 11089 grad_norm: 4.1760 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9893 loss: 1.9893 2022/08/03 05:43:44 - mmengine - INFO - Epoch(train) [84][300/1879] lr: 2.0000e-02 eta: 1 day, 7:51:07 time: 0.9152 data_time: 0.0289 memory: 11089 grad_norm: 4.3053 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8052 loss: 1.8052 2022/08/03 05:44:02 - mmengine - INFO - Epoch(train) [84][320/1879] lr: 2.0000e-02 eta: 1 day, 7:50:49 time: 0.8967 data_time: 0.0229 memory: 11089 grad_norm: 4.2964 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6715 loss: 1.6715 2022/08/03 05:44:21 - mmengine - INFO - Epoch(train) [84][340/1879] lr: 2.0000e-02 eta: 1 day, 7:50:31 time: 0.9228 data_time: 0.0266 memory: 11089 grad_norm: 4.2892 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8512 loss: 1.8512 2022/08/03 05:44:39 - mmengine - INFO - Epoch(train) [84][360/1879] lr: 2.0000e-02 eta: 1 day, 7:50:13 time: 0.9286 data_time: 0.0259 memory: 11089 grad_norm: 4.2208 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9639 loss: 1.9639 2022/08/03 05:44:58 - mmengine - INFO - Epoch(train) [84][380/1879] lr: 2.0000e-02 eta: 1 day, 7:49:55 time: 0.9299 data_time: 0.0216 memory: 11089 grad_norm: 4.1702 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7528 loss: 1.7528 2022/08/03 05:45:16 - mmengine - INFO - Epoch(train) [84][400/1879] lr: 2.0000e-02 eta: 1 day, 7:49:37 time: 0.9110 data_time: 0.0243 memory: 11089 grad_norm: 4.3116 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7997 loss: 1.7997 2022/08/03 05:45:34 - mmengine - INFO - Epoch(train) [84][420/1879] lr: 2.0000e-02 eta: 1 day, 7:49:18 time: 0.9078 data_time: 0.0221 memory: 11089 grad_norm: 4.1743 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6363 loss: 1.6363 2022/08/03 05:45:52 - mmengine - INFO - Epoch(train) [84][440/1879] lr: 2.0000e-02 eta: 1 day, 7:49:00 time: 0.8978 data_time: 0.0215 memory: 11089 grad_norm: 4.0586 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7800 loss: 1.7800 2022/08/03 05:46:10 - mmengine - INFO - Epoch(train) [84][460/1879] lr: 2.0000e-02 eta: 1 day, 7:48:41 time: 0.9081 data_time: 0.0200 memory: 11089 grad_norm: 4.1460 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9690 loss: 1.9690 2022/08/03 05:46:29 - mmengine - INFO - Epoch(train) [84][480/1879] lr: 2.0000e-02 eta: 1 day, 7:48:23 time: 0.9284 data_time: 0.0316 memory: 11089 grad_norm: 4.1958 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9677 loss: 1.9677 2022/08/03 05:46:48 - mmengine - INFO - Epoch(train) [84][500/1879] lr: 2.0000e-02 eta: 1 day, 7:48:05 time: 0.9289 data_time: 0.0268 memory: 11089 grad_norm: 4.3341 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9219 loss: 1.9219 2022/08/03 05:47:06 - mmengine - INFO - Epoch(train) [84][520/1879] lr: 2.0000e-02 eta: 1 day, 7:47:47 time: 0.9289 data_time: 0.0335 memory: 11089 grad_norm: 4.2095 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8828 loss: 1.8828 2022/08/03 05:47:24 - mmengine - INFO - Epoch(train) [84][540/1879] lr: 2.0000e-02 eta: 1 day, 7:47:29 time: 0.9036 data_time: 0.0297 memory: 11089 grad_norm: 4.2430 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6607 loss: 1.6607 2022/08/03 05:47:42 - mmengine - INFO - Epoch(train) [84][560/1879] lr: 2.0000e-02 eta: 1 day, 7:47:11 time: 0.9081 data_time: 0.0213 memory: 11089 grad_norm: 4.1863 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8225 loss: 1.8225 2022/08/03 05:48:01 - mmengine - INFO - Epoch(train) [84][580/1879] lr: 2.0000e-02 eta: 1 day, 7:46:52 time: 0.9199 data_time: 0.0285 memory: 11089 grad_norm: 4.3425 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1058 loss: 2.1058 2022/08/03 05:48:19 - mmengine - INFO - Epoch(train) [84][600/1879] lr: 2.0000e-02 eta: 1 day, 7:46:34 time: 0.9080 data_time: 0.0227 memory: 11089 grad_norm: 4.2709 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0066 loss: 2.0066 2022/08/03 05:48:37 - mmengine - INFO - Epoch(train) [84][620/1879] lr: 2.0000e-02 eta: 1 day, 7:46:16 time: 0.9126 data_time: 0.0287 memory: 11089 grad_norm: 4.1610 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9907 loss: 1.9907 2022/08/03 05:48:55 - mmengine - INFO - Epoch(train) [84][640/1879] lr: 2.0000e-02 eta: 1 day, 7:45:57 time: 0.8897 data_time: 0.0229 memory: 11089 grad_norm: 4.1640 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9062 loss: 1.9062 2022/08/03 05:49:13 - mmengine - INFO - Epoch(train) [84][660/1879] lr: 2.0000e-02 eta: 1 day, 7:45:39 time: 0.9214 data_time: 0.0310 memory: 11089 grad_norm: 4.1940 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6375 loss: 1.6375 2022/08/03 05:49:32 - mmengine - INFO - Epoch(train) [84][680/1879] lr: 2.0000e-02 eta: 1 day, 7:45:21 time: 0.9242 data_time: 0.0272 memory: 11089 grad_norm: 4.2148 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0513 loss: 2.0513 2022/08/03 05:49:51 - mmengine - INFO - Epoch(train) [84][700/1879] lr: 2.0000e-02 eta: 1 day, 7:45:03 time: 0.9328 data_time: 0.0229 memory: 11089 grad_norm: 4.2221 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8199 loss: 1.8199 2022/08/03 05:50:09 - mmengine - INFO - Epoch(train) [84][720/1879] lr: 2.0000e-02 eta: 1 day, 7:44:45 time: 0.9211 data_time: 0.0357 memory: 11089 grad_norm: 4.2083 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7218 loss: 1.7218 2022/08/03 05:50:27 - mmengine - INFO - Epoch(train) [84][740/1879] lr: 2.0000e-02 eta: 1 day, 7:44:27 time: 0.9251 data_time: 0.0298 memory: 11089 grad_norm: 4.2280 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0268 loss: 2.0268 2022/08/03 05:50:46 - mmengine - INFO - Epoch(train) [84][760/1879] lr: 2.0000e-02 eta: 1 day, 7:44:09 time: 0.9123 data_time: 0.0214 memory: 11089 grad_norm: 4.1323 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9015 loss: 1.9015 2022/08/03 05:51:04 - mmengine - INFO - Epoch(train) [84][780/1879] lr: 2.0000e-02 eta: 1 day, 7:43:50 time: 0.9094 data_time: 0.0216 memory: 11089 grad_norm: 4.2340 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8281 loss: 1.8281 2022/08/03 05:51:22 - mmengine - INFO - Epoch(train) [84][800/1879] lr: 2.0000e-02 eta: 1 day, 7:43:32 time: 0.9245 data_time: 0.0269 memory: 11089 grad_norm: 4.2606 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0110 loss: 2.0110 2022/08/03 05:51:41 - mmengine - INFO - Epoch(train) [84][820/1879] lr: 2.0000e-02 eta: 1 day, 7:43:14 time: 0.9078 data_time: 0.0235 memory: 11089 grad_norm: 4.2396 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9051 loss: 1.9051 2022/08/03 05:51:59 - mmengine - INFO - Epoch(train) [84][840/1879] lr: 2.0000e-02 eta: 1 day, 7:42:56 time: 0.9290 data_time: 0.0297 memory: 11089 grad_norm: 4.2012 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0007 loss: 2.0007 2022/08/03 05:52:18 - mmengine - INFO - Epoch(train) [84][860/1879] lr: 2.0000e-02 eta: 1 day, 7:42:38 time: 0.9341 data_time: 0.0337 memory: 11089 grad_norm: 4.1672 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8346 loss: 1.8346 2022/08/03 05:52:36 - mmengine - INFO - Epoch(train) [84][880/1879] lr: 2.0000e-02 eta: 1 day, 7:42:20 time: 0.9068 data_time: 0.0268 memory: 11089 grad_norm: 4.2627 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0687 loss: 2.0687 2022/08/03 05:52:54 - mmengine - INFO - Epoch(train) [84][900/1879] lr: 2.0000e-02 eta: 1 day, 7:42:01 time: 0.9009 data_time: 0.0230 memory: 11089 grad_norm: 4.1374 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0808 loss: 2.0808 2022/08/03 05:53:12 - mmengine - INFO - Epoch(train) [84][920/1879] lr: 2.0000e-02 eta: 1 day, 7:41:43 time: 0.9130 data_time: 0.0212 memory: 11089 grad_norm: 4.2597 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0196 loss: 2.0196 2022/08/03 05:53:31 - mmengine - INFO - Epoch(train) [84][940/1879] lr: 2.0000e-02 eta: 1 day, 7:41:25 time: 0.9117 data_time: 0.0335 memory: 11089 grad_norm: 4.2233 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9939 loss: 1.9939 2022/08/03 05:53:49 - mmengine - INFO - Epoch(train) [84][960/1879] lr: 2.0000e-02 eta: 1 day, 7:41:06 time: 0.9188 data_time: 0.0302 memory: 11089 grad_norm: 4.2267 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7292 loss: 1.7292 2022/08/03 05:54:07 - mmengine - INFO - Epoch(train) [84][980/1879] lr: 2.0000e-02 eta: 1 day, 7:40:48 time: 0.9212 data_time: 0.0262 memory: 11089 grad_norm: 4.3267 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8327 loss: 1.8327 2022/08/03 05:54:26 - mmengine - INFO - Epoch(train) [84][1000/1879] lr: 2.0000e-02 eta: 1 day, 7:40:30 time: 0.9312 data_time: 0.0280 memory: 11089 grad_norm: 4.2425 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6167 loss: 1.6167 2022/08/03 05:54:44 - mmengine - INFO - Epoch(train) [84][1020/1879] lr: 2.0000e-02 eta: 1 day, 7:40:12 time: 0.9227 data_time: 0.0303 memory: 11089 grad_norm: 4.2665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9617 loss: 1.9617 2022/08/03 05:55:03 - mmengine - INFO - Epoch(train) [84][1040/1879] lr: 2.0000e-02 eta: 1 day, 7:39:54 time: 0.9067 data_time: 0.0303 memory: 11089 grad_norm: 4.2321 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0959 loss: 2.0959 2022/08/03 05:55:05 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 05:55:21 - mmengine - INFO - Epoch(train) [84][1060/1879] lr: 2.0000e-02 eta: 1 day, 7:39:36 time: 0.9309 data_time: 0.0263 memory: 11089 grad_norm: 4.3326 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9217 loss: 1.9217 2022/08/03 05:55:39 - mmengine - INFO - Epoch(train) [84][1080/1879] lr: 2.0000e-02 eta: 1 day, 7:39:17 time: 0.9076 data_time: 0.0224 memory: 11089 grad_norm: 4.1754 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8891 loss: 1.8891 2022/08/03 05:55:58 - mmengine - INFO - Epoch(train) [84][1100/1879] lr: 2.0000e-02 eta: 1 day, 7:38:59 time: 0.9222 data_time: 0.0292 memory: 11089 grad_norm: 4.1468 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9373 loss: 1.9373 2022/08/03 05:56:16 - mmengine - INFO - Epoch(train) [84][1120/1879] lr: 2.0000e-02 eta: 1 day, 7:38:41 time: 0.9253 data_time: 0.0317 memory: 11089 grad_norm: 4.1836 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0167 loss: 2.0167 2022/08/03 05:56:34 - mmengine - INFO - Epoch(train) [84][1140/1879] lr: 2.0000e-02 eta: 1 day, 7:38:23 time: 0.8988 data_time: 0.0244 memory: 11089 grad_norm: 4.2133 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9497 loss: 1.9497 2022/08/03 05:56:52 - mmengine - INFO - Epoch(train) [84][1160/1879] lr: 2.0000e-02 eta: 1 day, 7:38:05 time: 0.9111 data_time: 0.0265 memory: 11089 grad_norm: 4.2620 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7372 loss: 1.7372 2022/08/03 05:57:11 - mmengine - INFO - Epoch(train) [84][1180/1879] lr: 2.0000e-02 eta: 1 day, 7:37:46 time: 0.9074 data_time: 0.0244 memory: 11089 grad_norm: 4.0644 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7413 loss: 1.7413 2022/08/03 05:57:29 - mmengine - INFO - Epoch(train) [84][1200/1879] lr: 2.0000e-02 eta: 1 day, 7:37:28 time: 0.9176 data_time: 0.0252 memory: 11089 grad_norm: 4.3421 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8952 loss: 1.8952 2022/08/03 05:57:48 - mmengine - INFO - Epoch(train) [84][1220/1879] lr: 2.0000e-02 eta: 1 day, 7:37:10 time: 0.9291 data_time: 0.0266 memory: 11089 grad_norm: 4.3101 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8772 loss: 1.8772 2022/08/03 05:58:06 - mmengine - INFO - Epoch(train) [84][1240/1879] lr: 2.0000e-02 eta: 1 day, 7:36:52 time: 0.9032 data_time: 0.0270 memory: 11089 grad_norm: 4.2886 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9664 loss: 1.9664 2022/08/03 05:58:24 - mmengine - INFO - Epoch(train) [84][1260/1879] lr: 2.0000e-02 eta: 1 day, 7:36:33 time: 0.9107 data_time: 0.0255 memory: 11089 grad_norm: 4.2548 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0806 loss: 2.0806 2022/08/03 05:58:43 - mmengine - INFO - Epoch(train) [84][1280/1879] lr: 2.0000e-02 eta: 1 day, 7:36:15 time: 0.9343 data_time: 0.0347 memory: 11089 grad_norm: 4.1585 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9814 loss: 1.9814 2022/08/03 05:59:01 - mmengine - INFO - Epoch(train) [84][1300/1879] lr: 2.0000e-02 eta: 1 day, 7:35:57 time: 0.9132 data_time: 0.0278 memory: 11089 grad_norm: 4.2723 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9328 loss: 1.9328 2022/08/03 05:59:19 - mmengine - INFO - Epoch(train) [84][1320/1879] lr: 2.0000e-02 eta: 1 day, 7:35:39 time: 0.9187 data_time: 0.0257 memory: 11089 grad_norm: 4.2043 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1033 loss: 2.1033 2022/08/03 05:59:38 - mmengine - INFO - Epoch(train) [84][1340/1879] lr: 2.0000e-02 eta: 1 day, 7:35:21 time: 0.9303 data_time: 0.0255 memory: 11089 grad_norm: 4.2487 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8623 loss: 1.8623 2022/08/03 05:59:56 - mmengine - INFO - Epoch(train) [84][1360/1879] lr: 2.0000e-02 eta: 1 day, 7:35:03 time: 0.9142 data_time: 0.0314 memory: 11089 grad_norm: 4.3596 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9741 loss: 1.9741 2022/08/03 06:00:16 - mmengine - INFO - Epoch(train) [84][1380/1879] lr: 2.0000e-02 eta: 1 day, 7:34:46 time: 1.0173 data_time: 0.0388 memory: 11089 grad_norm: 4.2810 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0151 loss: 2.0151 2022/08/03 06:00:35 - mmengine - INFO - Epoch(train) [84][1400/1879] lr: 2.0000e-02 eta: 1 day, 7:34:28 time: 0.9423 data_time: 0.0380 memory: 11089 grad_norm: 4.2115 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2338 loss: 2.2338 2022/08/03 06:00:54 - mmengine - INFO - Epoch(train) [84][1420/1879] lr: 2.0000e-02 eta: 1 day, 7:34:10 time: 0.9359 data_time: 0.0305 memory: 11089 grad_norm: 4.0646 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7700 loss: 1.7700 2022/08/03 06:01:12 - mmengine - INFO - Epoch(train) [84][1440/1879] lr: 2.0000e-02 eta: 1 day, 7:33:52 time: 0.9069 data_time: 0.0285 memory: 11089 grad_norm: 4.0480 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7609 loss: 1.7609 2022/08/03 06:01:30 - mmengine - INFO - Epoch(train) [84][1460/1879] lr: 2.0000e-02 eta: 1 day, 7:33:34 time: 0.9123 data_time: 0.0243 memory: 11089 grad_norm: 4.2444 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0900 loss: 2.0900 2022/08/03 06:01:49 - mmengine - INFO - Epoch(train) [84][1480/1879] lr: 2.0000e-02 eta: 1 day, 7:33:16 time: 0.9190 data_time: 0.0247 memory: 11089 grad_norm: 4.3291 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9065 loss: 1.9065 2022/08/03 06:02:07 - mmengine - INFO - Epoch(train) [84][1500/1879] lr: 2.0000e-02 eta: 1 day, 7:32:57 time: 0.8998 data_time: 0.0261 memory: 11089 grad_norm: 4.2566 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8352 loss: 1.8352 2022/08/03 06:02:25 - mmengine - INFO - Epoch(train) [84][1520/1879] lr: 2.0000e-02 eta: 1 day, 7:32:39 time: 0.8995 data_time: 0.0237 memory: 11089 grad_norm: 4.2982 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8467 loss: 1.8467 2022/08/03 06:02:43 - mmengine - INFO - Epoch(train) [84][1540/1879] lr: 2.0000e-02 eta: 1 day, 7:32:21 time: 0.9276 data_time: 0.0255 memory: 11089 grad_norm: 4.2716 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0482 loss: 2.0482 2022/08/03 06:03:02 - mmengine - INFO - Epoch(train) [84][1560/1879] lr: 2.0000e-02 eta: 1 day, 7:32:03 time: 0.9265 data_time: 0.0277 memory: 11089 grad_norm: 4.1884 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9678 loss: 1.9678 2022/08/03 06:03:21 - mmengine - INFO - Epoch(train) [84][1580/1879] lr: 2.0000e-02 eta: 1 day, 7:31:45 time: 0.9310 data_time: 0.0271 memory: 11089 grad_norm: 4.1935 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9145 loss: 1.9145 2022/08/03 06:03:39 - mmengine - INFO - Epoch(train) [84][1600/1879] lr: 2.0000e-02 eta: 1 day, 7:31:26 time: 0.9195 data_time: 0.0252 memory: 11089 grad_norm: 4.2269 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9496 loss: 1.9496 2022/08/03 06:03:57 - mmengine - INFO - Epoch(train) [84][1620/1879] lr: 2.0000e-02 eta: 1 day, 7:31:08 time: 0.9229 data_time: 0.0261 memory: 11089 grad_norm: 4.2626 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8556 loss: 1.8556 2022/08/03 06:04:16 - mmengine - INFO - Epoch(train) [84][1640/1879] lr: 2.0000e-02 eta: 1 day, 7:30:50 time: 0.9083 data_time: 0.0216 memory: 11089 grad_norm: 4.1520 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0783 loss: 2.0783 2022/08/03 06:04:33 - mmengine - INFO - Epoch(train) [84][1660/1879] lr: 2.0000e-02 eta: 1 day, 7:30:31 time: 0.8901 data_time: 0.0221 memory: 11089 grad_norm: 4.2686 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0451 loss: 2.0451 2022/08/03 06:04:52 - mmengine - INFO - Epoch(train) [84][1680/1879] lr: 2.0000e-02 eta: 1 day, 7:30:13 time: 0.9260 data_time: 0.0227 memory: 11089 grad_norm: 4.2317 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0004 loss: 2.0004 2022/08/03 06:05:10 - mmengine - INFO - Epoch(train) [84][1700/1879] lr: 2.0000e-02 eta: 1 day, 7:29:55 time: 0.9286 data_time: 0.0337 memory: 11089 grad_norm: 4.1928 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9422 loss: 1.9422 2022/08/03 06:05:29 - mmengine - INFO - Epoch(train) [84][1720/1879] lr: 2.0000e-02 eta: 1 day, 7:29:37 time: 0.9099 data_time: 0.0319 memory: 11089 grad_norm: 4.1695 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7579 loss: 1.7579 2022/08/03 06:05:47 - mmengine - INFO - Epoch(train) [84][1740/1879] lr: 2.0000e-02 eta: 1 day, 7:29:19 time: 0.9058 data_time: 0.0267 memory: 11089 grad_norm: 4.1984 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9148 loss: 1.9148 2022/08/03 06:06:05 - mmengine - INFO - Epoch(train) [84][1760/1879] lr: 2.0000e-02 eta: 1 day, 7:29:00 time: 0.9104 data_time: 0.0229 memory: 11089 grad_norm: 4.2398 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0301 loss: 2.0301 2022/08/03 06:06:23 - mmengine - INFO - Epoch(train) [84][1780/1879] lr: 2.0000e-02 eta: 1 day, 7:28:42 time: 0.9082 data_time: 0.0216 memory: 11089 grad_norm: 4.3230 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9114 loss: 1.9114 2022/08/03 06:06:42 - mmengine - INFO - Epoch(train) [84][1800/1879] lr: 2.0000e-02 eta: 1 day, 7:28:24 time: 0.9234 data_time: 0.0318 memory: 11089 grad_norm: 4.3142 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9905 loss: 1.9905 2022/08/03 06:07:00 - mmengine - INFO - Epoch(train) [84][1820/1879] lr: 2.0000e-02 eta: 1 day, 7:28:06 time: 0.9353 data_time: 0.0282 memory: 11089 grad_norm: 4.1707 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0172 loss: 2.0172 2022/08/03 06:07:19 - mmengine - INFO - Epoch(train) [84][1840/1879] lr: 2.0000e-02 eta: 1 day, 7:27:48 time: 0.9343 data_time: 0.0347 memory: 11089 grad_norm: 4.1356 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 2.0058 loss: 2.0058 2022/08/03 06:07:37 - mmengine - INFO - Epoch(train) [84][1860/1879] lr: 2.0000e-02 eta: 1 day, 7:27:30 time: 0.9015 data_time: 0.0309 memory: 11089 grad_norm: 4.1676 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8004 loss: 1.8004 2022/08/03 06:07:55 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 06:07:55 - mmengine - INFO - Epoch(train) [84][1879/1879] lr: 2.0000e-02 eta: 1 day, 7:27:30 time: 0.9268 data_time: 0.0255 memory: 11089 grad_norm: 4.3072 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.9550 loss: 1.9550 2022/08/03 06:07:55 - mmengine - INFO - Saving checkpoint at 84 epochs 2022/08/03 06:08:16 - mmengine - INFO - Epoch(train) [85][20/1879] lr: 2.0000e-02 eta: 1 day, 7:26:41 time: 0.9642 data_time: 0.0971 memory: 11089 grad_norm: 4.1413 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0028 loss: 2.0028 2022/08/03 06:08:35 - mmengine - INFO - Epoch(train) [85][40/1879] lr: 2.0000e-02 eta: 1 day, 7:26:23 time: 0.9112 data_time: 0.0288 memory: 11089 grad_norm: 4.1350 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8260 loss: 1.8260 2022/08/03 06:08:53 - mmengine - INFO - Epoch(train) [85][60/1879] lr: 2.0000e-02 eta: 1 day, 7:26:04 time: 0.9029 data_time: 0.0241 memory: 11089 grad_norm: 4.2404 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0106 loss: 2.0106 2022/08/03 06:09:11 - mmengine - INFO - Epoch(train) [85][80/1879] lr: 2.0000e-02 eta: 1 day, 7:25:46 time: 0.9061 data_time: 0.0244 memory: 11089 grad_norm: 4.2931 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0298 loss: 2.0298 2022/08/03 06:09:29 - mmengine - INFO - Epoch(train) [85][100/1879] lr: 2.0000e-02 eta: 1 day, 7:25:28 time: 0.8990 data_time: 0.0215 memory: 11089 grad_norm: 4.1909 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7873 loss: 1.7873 2022/08/03 06:09:47 - mmengine - INFO - Epoch(train) [85][120/1879] lr: 2.0000e-02 eta: 1 day, 7:25:09 time: 0.9247 data_time: 0.0354 memory: 11089 grad_norm: 4.0921 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9994 loss: 1.9994 2022/08/03 06:10:06 - mmengine - INFO - Epoch(train) [85][140/1879] lr: 2.0000e-02 eta: 1 day, 7:24:51 time: 0.9272 data_time: 0.0276 memory: 11089 grad_norm: 4.2938 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9962 loss: 1.9962 2022/08/03 06:10:24 - mmengine - INFO - Epoch(train) [85][160/1879] lr: 2.0000e-02 eta: 1 day, 7:24:33 time: 0.9179 data_time: 0.0312 memory: 11089 grad_norm: 4.0470 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8291 loss: 1.8291 2022/08/03 06:10:28 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 06:10:42 - mmengine - INFO - Epoch(train) [85][180/1879] lr: 2.0000e-02 eta: 1 day, 7:24:15 time: 0.8977 data_time: 0.0224 memory: 11089 grad_norm: 4.1578 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0664 loss: 2.0664 2022/08/03 06:11:00 - mmengine - INFO - Epoch(train) [85][200/1879] lr: 2.0000e-02 eta: 1 day, 7:23:57 time: 0.9139 data_time: 0.0269 memory: 11089 grad_norm: 4.2039 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1129 loss: 2.1129 2022/08/03 06:11:19 - mmengine - INFO - Epoch(train) [85][220/1879] lr: 2.0000e-02 eta: 1 day, 7:23:38 time: 0.9092 data_time: 0.0263 memory: 11089 grad_norm: 4.2808 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9447 loss: 1.9447 2022/08/03 06:11:37 - mmengine - INFO - Epoch(train) [85][240/1879] lr: 2.0000e-02 eta: 1 day, 7:23:20 time: 0.9014 data_time: 0.0226 memory: 11089 grad_norm: 4.2075 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7931 loss: 1.7931 2022/08/03 06:11:55 - mmengine - INFO - Epoch(train) [85][260/1879] lr: 2.0000e-02 eta: 1 day, 7:23:02 time: 0.9170 data_time: 0.0244 memory: 11089 grad_norm: 4.2765 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0156 loss: 2.0156 2022/08/03 06:12:14 - mmengine - INFO - Epoch(train) [85][280/1879] lr: 2.0000e-02 eta: 1 day, 7:22:43 time: 0.9244 data_time: 0.0310 memory: 11089 grad_norm: 4.1597 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9478 loss: 1.9478 2022/08/03 06:12:32 - mmengine - INFO - Epoch(train) [85][300/1879] lr: 2.0000e-02 eta: 1 day, 7:22:25 time: 0.9051 data_time: 0.0265 memory: 11089 grad_norm: 4.3011 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0247 loss: 2.0247 2022/08/03 06:12:50 - mmengine - INFO - Epoch(train) [85][320/1879] lr: 2.0000e-02 eta: 1 day, 7:22:07 time: 0.9019 data_time: 0.0253 memory: 11089 grad_norm: 4.2234 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0009 loss: 2.0009 2022/08/03 06:13:08 - mmengine - INFO - Epoch(train) [85][340/1879] lr: 2.0000e-02 eta: 1 day, 7:21:48 time: 0.9088 data_time: 0.0258 memory: 11089 grad_norm: 4.1529 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.9827 loss: 1.9827 2022/08/03 06:13:26 - mmengine - INFO - Epoch(train) [85][360/1879] lr: 2.0000e-02 eta: 1 day, 7:21:30 time: 0.8993 data_time: 0.0263 memory: 11089 grad_norm: 4.2420 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0120 loss: 2.0120 2022/08/03 06:13:44 - mmengine - INFO - Epoch(train) [85][380/1879] lr: 2.0000e-02 eta: 1 day, 7:21:12 time: 0.9087 data_time: 0.0243 memory: 11089 grad_norm: 4.1996 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1276 loss: 2.1276 2022/08/03 06:14:02 - mmengine - INFO - Epoch(train) [85][400/1879] lr: 2.0000e-02 eta: 1 day, 7:20:53 time: 0.9201 data_time: 0.0292 memory: 11089 grad_norm: 4.1680 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9837 loss: 1.9837 2022/08/03 06:14:21 - mmengine - INFO - Epoch(train) [85][420/1879] lr: 2.0000e-02 eta: 1 day, 7:20:35 time: 0.9068 data_time: 0.0293 memory: 11089 grad_norm: 4.1866 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8936 loss: 1.8936 2022/08/03 06:14:39 - mmengine - INFO - Epoch(train) [85][440/1879] lr: 2.0000e-02 eta: 1 day, 7:20:17 time: 0.9199 data_time: 0.0240 memory: 11089 grad_norm: 4.2035 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8711 loss: 1.8711 2022/08/03 06:14:57 - mmengine - INFO - Epoch(train) [85][460/1879] lr: 2.0000e-02 eta: 1 day, 7:19:59 time: 0.9078 data_time: 0.0238 memory: 11089 grad_norm: 4.2134 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0009 loss: 2.0009 2022/08/03 06:15:15 - mmengine - INFO - Epoch(train) [85][480/1879] lr: 2.0000e-02 eta: 1 day, 7:19:40 time: 0.8838 data_time: 0.0196 memory: 11089 grad_norm: 4.3584 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8138 loss: 1.8138 2022/08/03 06:15:33 - mmengine - INFO - Epoch(train) [85][500/1879] lr: 2.0000e-02 eta: 1 day, 7:19:22 time: 0.9278 data_time: 0.0312 memory: 11089 grad_norm: 4.1724 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0239 loss: 2.0239 2022/08/03 06:15:52 - mmengine - INFO - Epoch(train) [85][520/1879] lr: 2.0000e-02 eta: 1 day, 7:19:04 time: 0.9290 data_time: 0.0300 memory: 11089 grad_norm: 4.2850 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0327 loss: 2.0327 2022/08/03 06:16:10 - mmengine - INFO - Epoch(train) [85][540/1879] lr: 2.0000e-02 eta: 1 day, 7:18:45 time: 0.9062 data_time: 0.0289 memory: 11089 grad_norm: 4.1204 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7180 loss: 1.7180 2022/08/03 06:16:28 - mmengine - INFO - Epoch(train) [85][560/1879] lr: 2.0000e-02 eta: 1 day, 7:18:27 time: 0.9069 data_time: 0.0248 memory: 11089 grad_norm: 4.2238 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8293 loss: 1.8293 2022/08/03 06:16:46 - mmengine - INFO - Epoch(train) [85][580/1879] lr: 2.0000e-02 eta: 1 day, 7:18:09 time: 0.9100 data_time: 0.0253 memory: 11089 grad_norm: 4.2050 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.0478 loss: 2.0478 2022/08/03 06:17:05 - mmengine - INFO - Epoch(train) [85][600/1879] lr: 2.0000e-02 eta: 1 day, 7:17:50 time: 0.9093 data_time: 0.0257 memory: 11089 grad_norm: 4.1878 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7075 loss: 1.7075 2022/08/03 06:17:23 - mmengine - INFO - Epoch(train) [85][620/1879] lr: 2.0000e-02 eta: 1 day, 7:17:32 time: 0.9214 data_time: 0.0234 memory: 11089 grad_norm: 4.1791 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7798 loss: 1.7798 2022/08/03 06:17:42 - mmengine - INFO - Epoch(train) [85][640/1879] lr: 2.0000e-02 eta: 1 day, 7:17:14 time: 0.9236 data_time: 0.0255 memory: 11089 grad_norm: 4.3334 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0932 loss: 2.0932 2022/08/03 06:18:00 - mmengine - INFO - Epoch(train) [85][660/1879] lr: 2.0000e-02 eta: 1 day, 7:16:56 time: 0.9149 data_time: 0.0255 memory: 11089 grad_norm: 4.2728 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8581 loss: 1.8581 2022/08/03 06:18:18 - mmengine - INFO - Epoch(train) [85][680/1879] lr: 2.0000e-02 eta: 1 day, 7:16:38 time: 0.9087 data_time: 0.0272 memory: 11089 grad_norm: 4.1971 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 1.9503 loss: 1.9503 2022/08/03 06:18:36 - mmengine - INFO - Epoch(train) [85][700/1879] lr: 2.0000e-02 eta: 1 day, 7:16:19 time: 0.9150 data_time: 0.0272 memory: 11089 grad_norm: 4.0604 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9964 loss: 1.9964 2022/08/03 06:18:55 - mmengine - INFO - Epoch(train) [85][720/1879] lr: 2.0000e-02 eta: 1 day, 7:16:01 time: 0.9154 data_time: 0.0272 memory: 11089 grad_norm: 4.3386 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9831 loss: 1.9831 2022/08/03 06:19:13 - mmengine - INFO - Epoch(train) [85][740/1879] lr: 2.0000e-02 eta: 1 day, 7:15:43 time: 0.9075 data_time: 0.0252 memory: 11089 grad_norm: 4.1663 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.9519 loss: 1.9519 2022/08/03 06:19:31 - mmengine - INFO - Epoch(train) [85][760/1879] lr: 2.0000e-02 eta: 1 day, 7:15:25 time: 0.9189 data_time: 0.0245 memory: 11089 grad_norm: 4.2505 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9436 loss: 1.9436 2022/08/03 06:19:49 - mmengine - INFO - Epoch(train) [85][780/1879] lr: 2.0000e-02 eta: 1 day, 7:15:06 time: 0.9022 data_time: 0.0195 memory: 11089 grad_norm: 4.1806 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8734 loss: 1.8734 2022/08/03 06:20:08 - mmengine - INFO - Epoch(train) [85][800/1879] lr: 2.0000e-02 eta: 1 day, 7:14:48 time: 0.9181 data_time: 0.0270 memory: 11089 grad_norm: 4.1908 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7902 loss: 1.7902 2022/08/03 06:20:26 - mmengine - INFO - Epoch(train) [85][820/1879] lr: 2.0000e-02 eta: 1 day, 7:14:30 time: 0.9178 data_time: 0.0332 memory: 11089 grad_norm: 4.3006 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9829 loss: 1.9829 2022/08/03 06:20:44 - mmengine - INFO - Epoch(train) [85][840/1879] lr: 2.0000e-02 eta: 1 day, 7:14:12 time: 0.9188 data_time: 0.0276 memory: 11089 grad_norm: 4.1724 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8048 loss: 1.8048 2022/08/03 06:21:03 - mmengine - INFO - Epoch(train) [85][860/1879] lr: 2.0000e-02 eta: 1 day, 7:13:54 time: 0.9272 data_time: 0.0281 memory: 11089 grad_norm: 4.1504 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0020 loss: 2.0020 2022/08/03 06:21:21 - mmengine - INFO - Epoch(train) [85][880/1879] lr: 2.0000e-02 eta: 1 day, 7:13:36 time: 0.9250 data_time: 0.0273 memory: 11089 grad_norm: 4.2064 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9450 loss: 1.9450 2022/08/03 06:21:39 - mmengine - INFO - Epoch(train) [85][900/1879] lr: 2.0000e-02 eta: 1 day, 7:13:17 time: 0.8976 data_time: 0.0226 memory: 11089 grad_norm: 4.2211 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8853 loss: 1.8853 2022/08/03 06:21:57 - mmengine - INFO - Epoch(train) [85][920/1879] lr: 2.0000e-02 eta: 1 day, 7:12:59 time: 0.9073 data_time: 0.0221 memory: 11089 grad_norm: 4.2572 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1814 loss: 2.1814 2022/08/03 06:22:16 - mmengine - INFO - Epoch(train) [85][940/1879] lr: 2.0000e-02 eta: 1 day, 7:12:41 time: 0.9148 data_time: 0.0217 memory: 11089 grad_norm: 4.0605 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9399 loss: 1.9399 2022/08/03 06:22:34 - mmengine - INFO - Epoch(train) [85][960/1879] lr: 2.0000e-02 eta: 1 day, 7:12:23 time: 0.9266 data_time: 0.0249 memory: 11089 grad_norm: 4.2762 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1095 loss: 2.1095 2022/08/03 06:22:52 - mmengine - INFO - Epoch(train) [85][980/1879] lr: 2.0000e-02 eta: 1 day, 7:12:04 time: 0.9048 data_time: 0.0267 memory: 11089 grad_norm: 4.2515 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8429 loss: 1.8429 2022/08/03 06:23:11 - mmengine - INFO - Epoch(train) [85][1000/1879] lr: 2.0000e-02 eta: 1 day, 7:11:46 time: 0.9264 data_time: 0.0279 memory: 11089 grad_norm: 4.1892 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7720 loss: 1.7720 2022/08/03 06:23:30 - mmengine - INFO - Epoch(train) [85][1020/1879] lr: 2.0000e-02 eta: 1 day, 7:11:28 time: 0.9245 data_time: 0.0331 memory: 11089 grad_norm: 4.2990 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9004 loss: 1.9004 2022/08/03 06:23:48 - mmengine - INFO - Epoch(train) [85][1040/1879] lr: 2.0000e-02 eta: 1 day, 7:11:10 time: 0.9146 data_time: 0.0306 memory: 11089 grad_norm: 4.2762 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8041 loss: 1.8041 2022/08/03 06:24:06 - mmengine - INFO - Epoch(train) [85][1060/1879] lr: 2.0000e-02 eta: 1 day, 7:10:52 time: 0.9177 data_time: 0.0257 memory: 11089 grad_norm: 4.2259 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8820 loss: 1.8820 2022/08/03 06:24:24 - mmengine - INFO - Epoch(train) [85][1080/1879] lr: 2.0000e-02 eta: 1 day, 7:10:33 time: 0.8930 data_time: 0.0258 memory: 11089 grad_norm: 4.1972 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9969 loss: 1.9969 2022/08/03 06:24:42 - mmengine - INFO - Epoch(train) [85][1100/1879] lr: 2.0000e-02 eta: 1 day, 7:10:15 time: 0.9117 data_time: 0.0263 memory: 11089 grad_norm: 4.2195 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8731 loss: 1.8731 2022/08/03 06:25:00 - mmengine - INFO - Epoch(train) [85][1120/1879] lr: 2.0000e-02 eta: 1 day, 7:09:57 time: 0.9139 data_time: 0.0302 memory: 11089 grad_norm: 4.2721 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6958 loss: 1.6958 2022/08/03 06:25:18 - mmengine - INFO - Epoch(train) [85][1140/1879] lr: 2.0000e-02 eta: 1 day, 7:09:38 time: 0.8978 data_time: 0.0227 memory: 11089 grad_norm: 4.2446 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1366 loss: 2.1366 2022/08/03 06:25:37 - mmengine - INFO - Epoch(train) [85][1160/1879] lr: 2.0000e-02 eta: 1 day, 7:09:20 time: 0.9074 data_time: 0.0253 memory: 11089 grad_norm: 4.2590 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8837 loss: 1.8837 2022/08/03 06:25:40 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 06:25:55 - mmengine - INFO - Epoch(train) [85][1180/1879] lr: 2.0000e-02 eta: 1 day, 7:09:02 time: 0.9195 data_time: 0.0312 memory: 11089 grad_norm: 4.1674 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8273 loss: 1.8273 2022/08/03 06:26:13 - mmengine - INFO - Epoch(train) [85][1200/1879] lr: 2.0000e-02 eta: 1 day, 7:08:43 time: 0.9227 data_time: 0.0321 memory: 11089 grad_norm: 4.2310 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9803 loss: 1.9803 2022/08/03 06:26:32 - mmengine - INFO - Epoch(train) [85][1220/1879] lr: 2.0000e-02 eta: 1 day, 7:08:25 time: 0.9184 data_time: 0.0208 memory: 11089 grad_norm: 4.2575 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8599 loss: 1.8599 2022/08/03 06:26:50 - mmengine - INFO - Epoch(train) [85][1240/1879] lr: 2.0000e-02 eta: 1 day, 7:08:07 time: 0.9277 data_time: 0.0259 memory: 11089 grad_norm: 4.1276 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8770 loss: 1.8770 2022/08/03 06:27:09 - mmengine - INFO - Epoch(train) [85][1260/1879] lr: 2.0000e-02 eta: 1 day, 7:07:49 time: 0.9194 data_time: 0.0305 memory: 11089 grad_norm: 4.1374 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9706 loss: 1.9706 2022/08/03 06:27:27 - mmengine - INFO - Epoch(train) [85][1280/1879] lr: 2.0000e-02 eta: 1 day, 7:07:31 time: 0.9291 data_time: 0.0250 memory: 11089 grad_norm: 4.1042 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7140 loss: 1.7140 2022/08/03 06:27:46 - mmengine - INFO - Epoch(train) [85][1300/1879] lr: 2.0000e-02 eta: 1 day, 7:07:13 time: 0.9182 data_time: 0.0333 memory: 11089 grad_norm: 4.1776 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8838 loss: 1.8838 2022/08/03 06:28:04 - mmengine - INFO - Epoch(train) [85][1320/1879] lr: 2.0000e-02 eta: 1 day, 7:06:55 time: 0.9185 data_time: 0.0315 memory: 11089 grad_norm: 4.0868 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8724 loss: 1.8724 2022/08/03 06:28:22 - mmengine - INFO - Epoch(train) [85][1340/1879] lr: 2.0000e-02 eta: 1 day, 7:06:36 time: 0.9013 data_time: 0.0190 memory: 11089 grad_norm: 4.2091 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0644 loss: 2.0644 2022/08/03 06:28:40 - mmengine - INFO - Epoch(train) [85][1360/1879] lr: 2.0000e-02 eta: 1 day, 7:06:18 time: 0.9061 data_time: 0.0253 memory: 11089 grad_norm: 4.1739 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8067 loss: 1.8067 2022/08/03 06:28:58 - mmengine - INFO - Epoch(train) [85][1380/1879] lr: 2.0000e-02 eta: 1 day, 7:06:00 time: 0.9098 data_time: 0.0242 memory: 11089 grad_norm: 4.2570 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8036 loss: 1.8036 2022/08/03 06:29:17 - mmengine - INFO - Epoch(train) [85][1400/1879] lr: 2.0000e-02 eta: 1 day, 7:05:41 time: 0.9206 data_time: 0.0233 memory: 11089 grad_norm: 4.2849 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0051 loss: 2.0051 2022/08/03 06:29:35 - mmengine - INFO - Epoch(train) [85][1420/1879] lr: 2.0000e-02 eta: 1 day, 7:05:23 time: 0.9178 data_time: 0.0287 memory: 11089 grad_norm: 4.2120 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7271 loss: 1.7271 2022/08/03 06:29:53 - mmengine - INFO - Epoch(train) [85][1440/1879] lr: 2.0000e-02 eta: 1 day, 7:05:05 time: 0.9081 data_time: 0.0254 memory: 11089 grad_norm: 4.2991 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9492 loss: 1.9492 2022/08/03 06:30:12 - mmengine - INFO - Epoch(train) [85][1460/1879] lr: 2.0000e-02 eta: 1 day, 7:04:47 time: 0.9101 data_time: 0.0281 memory: 11089 grad_norm: 4.2382 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9317 loss: 1.9317 2022/08/03 06:30:30 - mmengine - INFO - Epoch(train) [85][1480/1879] lr: 2.0000e-02 eta: 1 day, 7:04:28 time: 0.9035 data_time: 0.0243 memory: 11089 grad_norm: 4.2770 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8668 loss: 1.8668 2022/08/03 06:30:48 - mmengine - INFO - Epoch(train) [85][1500/1879] lr: 2.0000e-02 eta: 1 day, 7:04:10 time: 0.9234 data_time: 0.0291 memory: 11089 grad_norm: 4.2943 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7607 loss: 1.7607 2022/08/03 06:31:06 - mmengine - INFO - Epoch(train) [85][1520/1879] lr: 2.0000e-02 eta: 1 day, 7:03:52 time: 0.9069 data_time: 0.0251 memory: 11089 grad_norm: 4.2502 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2576 loss: 2.2576 2022/08/03 06:31:25 - mmengine - INFO - Epoch(train) [85][1540/1879] lr: 2.0000e-02 eta: 1 day, 7:03:34 time: 0.9260 data_time: 0.0302 memory: 11089 grad_norm: 4.2511 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.1876 loss: 2.1876 2022/08/03 06:31:43 - mmengine - INFO - Epoch(train) [85][1560/1879] lr: 2.0000e-02 eta: 1 day, 7:03:15 time: 0.9162 data_time: 0.0247 memory: 11089 grad_norm: 4.1904 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9898 loss: 1.9898 2022/08/03 06:32:01 - mmengine - INFO - Epoch(train) [85][1580/1879] lr: 2.0000e-02 eta: 1 day, 7:02:57 time: 0.9146 data_time: 0.0224 memory: 11089 grad_norm: 4.1106 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8607 loss: 1.8607 2022/08/03 06:32:19 - mmengine - INFO - Epoch(train) [85][1600/1879] lr: 2.0000e-02 eta: 1 day, 7:02:39 time: 0.9001 data_time: 0.0223 memory: 11089 grad_norm: 4.2309 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0493 loss: 2.0493 2022/08/03 06:32:38 - mmengine - INFO - Epoch(train) [85][1620/1879] lr: 2.0000e-02 eta: 1 day, 7:02:21 time: 0.9129 data_time: 0.0290 memory: 11089 grad_norm: 4.4026 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0495 loss: 2.0495 2022/08/03 06:32:56 - mmengine - INFO - Epoch(train) [85][1640/1879] lr: 2.0000e-02 eta: 1 day, 7:02:03 time: 0.9297 data_time: 0.0287 memory: 11089 grad_norm: 4.3131 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9736 loss: 1.9736 2022/08/03 06:33:14 - mmengine - INFO - Epoch(train) [85][1660/1879] lr: 2.0000e-02 eta: 1 day, 7:01:44 time: 0.8915 data_time: 0.0268 memory: 11089 grad_norm: 4.1627 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9374 loss: 1.9374 2022/08/03 06:33:32 - mmengine - INFO - Epoch(train) [85][1680/1879] lr: 2.0000e-02 eta: 1 day, 7:01:26 time: 0.9170 data_time: 0.0278 memory: 11089 grad_norm: 4.1570 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9160 loss: 1.9160 2022/08/03 06:33:51 - mmengine - INFO - Epoch(train) [85][1700/1879] lr: 2.0000e-02 eta: 1 day, 7:01:08 time: 0.9201 data_time: 0.0253 memory: 11089 grad_norm: 4.2650 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0549 loss: 2.0549 2022/08/03 06:34:09 - mmengine - INFO - Epoch(train) [85][1720/1879] lr: 2.0000e-02 eta: 1 day, 7:00:49 time: 0.9137 data_time: 0.0311 memory: 11089 grad_norm: 4.3003 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.1156 loss: 2.1156 2022/08/03 06:34:27 - mmengine - INFO - Epoch(train) [85][1740/1879] lr: 2.0000e-02 eta: 1 day, 7:00:31 time: 0.9084 data_time: 0.0259 memory: 11089 grad_norm: 4.2789 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7979 loss: 1.7979 2022/08/03 06:34:46 - mmengine - INFO - Epoch(train) [85][1760/1879] lr: 2.0000e-02 eta: 1 day, 7:00:13 time: 0.9083 data_time: 0.0337 memory: 11089 grad_norm: 4.2893 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9650 loss: 1.9650 2022/08/03 06:35:03 - mmengine - INFO - Epoch(train) [85][1780/1879] lr: 2.0000e-02 eta: 1 day, 6:59:54 time: 0.8976 data_time: 0.0268 memory: 11089 grad_norm: 4.1807 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8165 loss: 1.8165 2022/08/03 06:35:22 - mmengine - INFO - Epoch(train) [85][1800/1879] lr: 2.0000e-02 eta: 1 day, 6:59:36 time: 0.9357 data_time: 0.0279 memory: 11089 grad_norm: 4.1583 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9829 loss: 1.9829 2022/08/03 06:35:40 - mmengine - INFO - Epoch(train) [85][1820/1879] lr: 2.0000e-02 eta: 1 day, 6:59:18 time: 0.9106 data_time: 0.0231 memory: 11089 grad_norm: 4.2393 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0471 loss: 2.0471 2022/08/03 06:35:59 - mmengine - INFO - Epoch(train) [85][1840/1879] lr: 2.0000e-02 eta: 1 day, 6:59:00 time: 0.9121 data_time: 0.0306 memory: 11089 grad_norm: 4.2358 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1684 loss: 2.1684 2022/08/03 06:36:17 - mmengine - INFO - Epoch(train) [85][1860/1879] lr: 2.0000e-02 eta: 1 day, 6:58:41 time: 0.9052 data_time: 0.0251 memory: 11089 grad_norm: 4.2421 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9750 loss: 1.9750 2022/08/03 06:36:34 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 06:36:34 - mmengine - INFO - Epoch(train) [85][1879/1879] lr: 2.0000e-02 eta: 1 day, 6:58:41 time: 0.9198 data_time: 0.0426 memory: 11089 grad_norm: 4.3671 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.8668 loss: 1.8668 2022/08/03 06:36:43 - mmengine - INFO - Epoch(val) [85][20/155] eta: 0:01:01 time: 0.4519 data_time: 0.1330 memory: 1950 2022/08/03 06:36:50 - mmengine - INFO - Epoch(val) [85][40/155] eta: 0:00:37 time: 0.3232 data_time: 0.0105 memory: 1950 2022/08/03 06:36:56 - mmengine - INFO - Epoch(val) [85][60/155] eta: 0:00:31 time: 0.3274 data_time: 0.0118 memory: 1950 2022/08/03 06:37:03 - mmengine - INFO - Epoch(val) [85][80/155] eta: 0:00:24 time: 0.3292 data_time: 0.0122 memory: 1950 2022/08/03 06:37:09 - mmengine - INFO - Epoch(val) [85][100/155] eta: 0:00:17 time: 0.3232 data_time: 0.0126 memory: 1950 2022/08/03 06:37:16 - mmengine - INFO - Epoch(val) [85][120/155] eta: 0:00:12 time: 0.3433 data_time: 0.0113 memory: 1950 2022/08/03 06:37:24 - mmengine - INFO - Epoch(val) [85][140/155] eta: 0:00:05 time: 0.3920 data_time: 0.0105 memory: 1950 2022/08/03 06:37:31 - mmengine - INFO - Epoch(val) [85][155/155] acc/top1: 0.5945 acc/top5: 0.8232 acc/mean1: 0.5943 2022/08/03 06:37:51 - mmengine - INFO - Epoch(train) [86][20/1879] lr: 2.0000e-02 eta: 1 day, 6:57:54 time: 0.9852 data_time: 0.1174 memory: 11089 grad_norm: 4.2436 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7759 loss: 1.7759 2022/08/03 06:38:09 - mmengine - INFO - Epoch(train) [86][40/1879] lr: 2.0000e-02 eta: 1 day, 6:57:35 time: 0.9107 data_time: 0.0243 memory: 11089 grad_norm: 4.1027 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8518 loss: 1.8518 2022/08/03 06:38:27 - mmengine - INFO - Epoch(train) [86][60/1879] lr: 2.0000e-02 eta: 1 day, 6:57:17 time: 0.8871 data_time: 0.0217 memory: 11089 grad_norm: 4.2497 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9300 loss: 1.9300 2022/08/03 06:38:46 - mmengine - INFO - Epoch(train) [86][80/1879] lr: 2.0000e-02 eta: 1 day, 6:56:59 time: 0.9266 data_time: 0.0260 memory: 11089 grad_norm: 4.2367 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0008 loss: 2.0008 2022/08/03 06:39:04 - mmengine - INFO - Epoch(train) [86][100/1879] lr: 2.0000e-02 eta: 1 day, 6:56:41 time: 0.9262 data_time: 0.0290 memory: 11089 grad_norm: 4.1308 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9539 loss: 1.9539 2022/08/03 06:39:22 - mmengine - INFO - Epoch(train) [86][120/1879] lr: 2.0000e-02 eta: 1 day, 6:56:22 time: 0.9011 data_time: 0.0295 memory: 11089 grad_norm: 4.1399 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7719 loss: 1.7719 2022/08/03 06:39:40 - mmengine - INFO - Epoch(train) [86][140/1879] lr: 2.0000e-02 eta: 1 day, 6:56:04 time: 0.8997 data_time: 0.0251 memory: 11089 grad_norm: 4.2224 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9358 loss: 1.9358 2022/08/03 06:39:59 - mmengine - INFO - Epoch(train) [86][160/1879] lr: 2.0000e-02 eta: 1 day, 6:55:46 time: 0.9291 data_time: 0.0294 memory: 11089 grad_norm: 4.2645 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8951 loss: 1.8951 2022/08/03 06:40:17 - mmengine - INFO - Epoch(train) [86][180/1879] lr: 2.0000e-02 eta: 1 day, 6:55:27 time: 0.9067 data_time: 0.0309 memory: 11089 grad_norm: 4.2481 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7283 loss: 1.7283 2022/08/03 06:40:36 - mmengine - INFO - Epoch(train) [86][200/1879] lr: 2.0000e-02 eta: 1 day, 6:55:09 time: 0.9422 data_time: 0.0388 memory: 11089 grad_norm: 4.1263 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9066 loss: 1.9066 2022/08/03 06:40:54 - mmengine - INFO - Epoch(train) [86][220/1879] lr: 2.0000e-02 eta: 1 day, 6:54:51 time: 0.9231 data_time: 0.0223 memory: 11089 grad_norm: 4.0645 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8366 loss: 1.8366 2022/08/03 06:41:13 - mmengine - INFO - Epoch(train) [86][240/1879] lr: 2.0000e-02 eta: 1 day, 6:54:33 time: 0.9071 data_time: 0.0272 memory: 11089 grad_norm: 4.2903 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9157 loss: 1.9157 2022/08/03 06:41:31 - mmengine - INFO - Epoch(train) [86][260/1879] lr: 2.0000e-02 eta: 1 day, 6:54:15 time: 0.9041 data_time: 0.0267 memory: 11089 grad_norm: 4.0902 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9459 loss: 1.9459 2022/08/03 06:41:49 - mmengine - INFO - Epoch(train) [86][280/1879] lr: 2.0000e-02 eta: 1 day, 6:53:56 time: 0.9155 data_time: 0.0237 memory: 11089 grad_norm: 4.1528 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7467 loss: 1.7467 2022/08/03 06:41:54 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 06:42:08 - mmengine - INFO - Epoch(train) [86][300/1879] lr: 2.0000e-02 eta: 1 day, 6:53:38 time: 0.9322 data_time: 0.0379 memory: 11089 grad_norm: 4.1922 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9037 loss: 1.9037 2022/08/03 06:42:26 - mmengine - INFO - Epoch(train) [86][320/1879] lr: 2.0000e-02 eta: 1 day, 6:53:20 time: 0.9191 data_time: 0.0319 memory: 11089 grad_norm: 4.2297 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8250 loss: 1.8250 2022/08/03 06:42:44 - mmengine - INFO - Epoch(train) [86][340/1879] lr: 2.0000e-02 eta: 1 day, 6:53:02 time: 0.9050 data_time: 0.0240 memory: 11089 grad_norm: 4.2665 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9424 loss: 1.9424 2022/08/03 06:43:02 - mmengine - INFO - Epoch(train) [86][360/1879] lr: 2.0000e-02 eta: 1 day, 6:52:44 time: 0.9164 data_time: 0.0295 memory: 11089 grad_norm: 4.0783 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8591 loss: 1.8591 2022/08/03 06:43:20 - mmengine - INFO - Epoch(train) [86][380/1879] lr: 2.0000e-02 eta: 1 day, 6:52:25 time: 0.8975 data_time: 0.0266 memory: 11089 grad_norm: 4.0875 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7327 loss: 1.7327 2022/08/03 06:43:39 - mmengine - INFO - Epoch(train) [86][400/1879] lr: 2.0000e-02 eta: 1 day, 6:52:07 time: 0.9110 data_time: 0.0294 memory: 11089 grad_norm: 4.1300 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7893 loss: 1.7893 2022/08/03 06:43:57 - mmengine - INFO - Epoch(train) [86][420/1879] lr: 2.0000e-02 eta: 1 day, 6:51:49 time: 0.9276 data_time: 0.0236 memory: 11089 grad_norm: 4.3081 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8267 loss: 1.8267 2022/08/03 06:44:15 - mmengine - INFO - Epoch(train) [86][440/1879] lr: 2.0000e-02 eta: 1 day, 6:51:31 time: 0.9144 data_time: 0.0293 memory: 11089 grad_norm: 4.3049 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.0751 loss: 2.0751 2022/08/03 06:44:34 - mmengine - INFO - Epoch(train) [86][460/1879] lr: 2.0000e-02 eta: 1 day, 6:51:12 time: 0.9124 data_time: 0.0330 memory: 11089 grad_norm: 4.2530 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9611 loss: 1.9611 2022/08/03 06:44:52 - mmengine - INFO - Epoch(train) [86][480/1879] lr: 2.0000e-02 eta: 1 day, 6:50:54 time: 0.8973 data_time: 0.0243 memory: 11089 grad_norm: 4.3249 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8948 loss: 1.8948 2022/08/03 06:45:10 - mmengine - INFO - Epoch(train) [86][500/1879] lr: 2.0000e-02 eta: 1 day, 6:50:35 time: 0.8947 data_time: 0.0246 memory: 11089 grad_norm: 4.2545 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9199 loss: 1.9199 2022/08/03 06:45:28 - mmengine - INFO - Epoch(train) [86][520/1879] lr: 2.0000e-02 eta: 1 day, 6:50:17 time: 0.9219 data_time: 0.0310 memory: 11089 grad_norm: 4.1263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8725 loss: 1.8725 2022/08/03 06:45:46 - mmengine - INFO - Epoch(train) [86][540/1879] lr: 2.0000e-02 eta: 1 day, 6:49:59 time: 0.9071 data_time: 0.0214 memory: 11089 grad_norm: 4.2324 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7895 loss: 1.7895 2022/08/03 06:46:05 - mmengine - INFO - Epoch(train) [86][560/1879] lr: 2.0000e-02 eta: 1 day, 6:49:41 time: 0.9277 data_time: 0.0316 memory: 11089 grad_norm: 4.1043 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0042 loss: 2.0042 2022/08/03 06:46:23 - mmengine - INFO - Epoch(train) [86][580/1879] lr: 2.0000e-02 eta: 1 day, 6:49:23 time: 0.9164 data_time: 0.0237 memory: 11089 grad_norm: 4.2517 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9688 loss: 1.9688 2022/08/03 06:46:41 - mmengine - INFO - Epoch(train) [86][600/1879] lr: 2.0000e-02 eta: 1 day, 6:49:04 time: 0.8956 data_time: 0.0261 memory: 11089 grad_norm: 4.2828 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8054 loss: 1.8054 2022/08/03 06:46:59 - mmengine - INFO - Epoch(train) [86][620/1879] lr: 2.0000e-02 eta: 1 day, 6:48:46 time: 0.9282 data_time: 0.0243 memory: 11089 grad_norm: 4.1562 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8037 loss: 1.8037 2022/08/03 06:47:18 - mmengine - INFO - Epoch(train) [86][640/1879] lr: 2.0000e-02 eta: 1 day, 6:48:28 time: 0.9106 data_time: 0.0239 memory: 11089 grad_norm: 4.3090 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0423 loss: 2.0423 2022/08/03 06:47:36 - mmengine - INFO - Epoch(train) [86][660/1879] lr: 2.0000e-02 eta: 1 day, 6:48:09 time: 0.9023 data_time: 0.0245 memory: 11089 grad_norm: 4.3537 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8736 loss: 1.8736 2022/08/03 06:47:54 - mmengine - INFO - Epoch(train) [86][680/1879] lr: 2.0000e-02 eta: 1 day, 6:47:51 time: 0.9175 data_time: 0.0253 memory: 11089 grad_norm: 4.2805 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8401 loss: 1.8401 2022/08/03 06:48:12 - mmengine - INFO - Epoch(train) [86][700/1879] lr: 2.0000e-02 eta: 1 day, 6:47:33 time: 0.9161 data_time: 0.0209 memory: 11089 grad_norm: 4.2612 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0698 loss: 2.0698 2022/08/03 06:48:30 - mmengine - INFO - Epoch(train) [86][720/1879] lr: 2.0000e-02 eta: 1 day, 6:47:15 time: 0.8972 data_time: 0.0220 memory: 11089 grad_norm: 4.2004 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7693 loss: 1.7693 2022/08/03 06:48:48 - mmengine - INFO - Epoch(train) [86][740/1879] lr: 2.0000e-02 eta: 1 day, 6:46:56 time: 0.8991 data_time: 0.0231 memory: 11089 grad_norm: 4.2807 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1345 loss: 2.1345 2022/08/03 06:49:07 - mmengine - INFO - Epoch(train) [86][760/1879] lr: 2.0000e-02 eta: 1 day, 6:46:38 time: 0.9274 data_time: 0.0333 memory: 11089 grad_norm: 4.2915 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.1042 loss: 2.1042 2022/08/03 06:49:25 - mmengine - INFO - Epoch(train) [86][780/1879] lr: 2.0000e-02 eta: 1 day, 6:46:20 time: 0.9085 data_time: 0.0245 memory: 11089 grad_norm: 4.2704 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8577 loss: 1.8577 2022/08/03 06:49:43 - mmengine - INFO - Epoch(train) [86][800/1879] lr: 2.0000e-02 eta: 1 day, 6:46:01 time: 0.9142 data_time: 0.0257 memory: 11089 grad_norm: 4.3789 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9012 loss: 1.9012 2022/08/03 06:50:02 - mmengine - INFO - Epoch(train) [86][820/1879] lr: 2.0000e-02 eta: 1 day, 6:45:43 time: 0.9099 data_time: 0.0301 memory: 11089 grad_norm: 4.1932 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8036 loss: 1.8036 2022/08/03 06:50:20 - mmengine - INFO - Epoch(train) [86][840/1879] lr: 2.0000e-02 eta: 1 day, 6:45:25 time: 0.9119 data_time: 0.0287 memory: 11089 grad_norm: 4.2327 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9171 loss: 1.9171 2022/08/03 06:50:38 - mmengine - INFO - Epoch(train) [86][860/1879] lr: 2.0000e-02 eta: 1 day, 6:45:06 time: 0.9028 data_time: 0.0261 memory: 11089 grad_norm: 4.2678 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6955 loss: 1.6955 2022/08/03 06:50:56 - mmengine - INFO - Epoch(train) [86][880/1879] lr: 2.0000e-02 eta: 1 day, 6:44:48 time: 0.9079 data_time: 0.0266 memory: 11089 grad_norm: 4.1625 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9573 loss: 1.9573 2022/08/03 06:51:14 - mmengine - INFO - Epoch(train) [86][900/1879] lr: 2.0000e-02 eta: 1 day, 6:44:30 time: 0.9066 data_time: 0.0285 memory: 11089 grad_norm: 4.1304 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7471 loss: 1.7471 2022/08/03 06:51:32 - mmengine - INFO - Epoch(train) [86][920/1879] lr: 2.0000e-02 eta: 1 day, 6:44:11 time: 0.9047 data_time: 0.0215 memory: 11089 grad_norm: 4.2027 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7865 loss: 1.7865 2022/08/03 06:51:50 - mmengine - INFO - Epoch(train) [86][940/1879] lr: 2.0000e-02 eta: 1 day, 6:43:53 time: 0.8937 data_time: 0.0208 memory: 11089 grad_norm: 4.2436 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8916 loss: 1.8916 2022/08/03 06:52:08 - mmengine - INFO - Epoch(train) [86][960/1879] lr: 2.0000e-02 eta: 1 day, 6:43:35 time: 0.9146 data_time: 0.0219 memory: 11089 grad_norm: 4.2174 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8419 loss: 1.8419 2022/08/03 06:52:27 - mmengine - INFO - Epoch(train) [86][980/1879] lr: 2.0000e-02 eta: 1 day, 6:43:16 time: 0.9056 data_time: 0.0234 memory: 11089 grad_norm: 4.2090 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9948 loss: 1.9948 2022/08/03 06:52:45 - mmengine - INFO - Epoch(train) [86][1000/1879] lr: 2.0000e-02 eta: 1 day, 6:42:58 time: 0.9228 data_time: 0.0308 memory: 11089 grad_norm: 4.0676 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8248 loss: 1.8248 2022/08/03 06:53:03 - mmengine - INFO - Epoch(train) [86][1020/1879] lr: 2.0000e-02 eta: 1 day, 6:42:40 time: 0.9191 data_time: 0.0272 memory: 11089 grad_norm: 4.2539 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7889 loss: 1.7889 2022/08/03 06:53:22 - mmengine - INFO - Epoch(train) [86][1040/1879] lr: 2.0000e-02 eta: 1 day, 6:42:22 time: 0.9215 data_time: 0.0263 memory: 11089 grad_norm: 4.1890 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9381 loss: 1.9381 2022/08/03 06:53:40 - mmengine - INFO - Epoch(train) [86][1060/1879] lr: 2.0000e-02 eta: 1 day, 6:42:04 time: 0.9093 data_time: 0.0286 memory: 11089 grad_norm: 4.1563 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1199 loss: 2.1199 2022/08/03 06:53:58 - mmengine - INFO - Epoch(train) [86][1080/1879] lr: 2.0000e-02 eta: 1 day, 6:41:45 time: 0.8996 data_time: 0.0227 memory: 11089 grad_norm: 4.1962 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2875 loss: 2.2875 2022/08/03 06:54:17 - mmengine - INFO - Epoch(train) [86][1100/1879] lr: 2.0000e-02 eta: 1 day, 6:41:27 time: 0.9286 data_time: 0.0253 memory: 11089 grad_norm: 4.1075 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8495 loss: 1.8495 2022/08/03 06:54:35 - mmengine - INFO - Epoch(train) [86][1120/1879] lr: 2.0000e-02 eta: 1 day, 6:41:09 time: 0.9005 data_time: 0.0241 memory: 11089 grad_norm: 4.2579 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0560 loss: 2.0560 2022/08/03 06:54:53 - mmengine - INFO - Epoch(train) [86][1140/1879] lr: 2.0000e-02 eta: 1 day, 6:40:50 time: 0.9114 data_time: 0.0260 memory: 11089 grad_norm: 4.1819 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1447 loss: 2.1447 2022/08/03 06:55:11 - mmengine - INFO - Epoch(train) [86][1160/1879] lr: 2.0000e-02 eta: 1 day, 6:40:32 time: 0.9036 data_time: 0.0261 memory: 11089 grad_norm: 4.1061 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9809 loss: 1.9809 2022/08/03 06:55:29 - mmengine - INFO - Epoch(train) [86][1180/1879] lr: 2.0000e-02 eta: 1 day, 6:40:14 time: 0.9178 data_time: 0.0251 memory: 11089 grad_norm: 4.1505 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9550 loss: 1.9550 2022/08/03 06:55:48 - mmengine - INFO - Epoch(train) [86][1200/1879] lr: 2.0000e-02 eta: 1 day, 6:39:56 time: 0.9143 data_time: 0.0257 memory: 11089 grad_norm: 4.1809 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9030 loss: 1.9030 2022/08/03 06:56:06 - mmengine - INFO - Epoch(train) [86][1220/1879] lr: 2.0000e-02 eta: 1 day, 6:39:37 time: 0.9113 data_time: 0.0280 memory: 11089 grad_norm: 4.3601 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6409 loss: 1.6409 2022/08/03 06:56:24 - mmengine - INFO - Epoch(train) [86][1240/1879] lr: 2.0000e-02 eta: 1 day, 6:39:19 time: 0.8924 data_time: 0.0180 memory: 11089 grad_norm: 4.2928 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0999 loss: 2.0999 2022/08/03 06:56:42 - mmengine - INFO - Epoch(train) [86][1260/1879] lr: 2.0000e-02 eta: 1 day, 6:39:01 time: 0.9214 data_time: 0.0212 memory: 11089 grad_norm: 4.1797 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0446 loss: 2.0446 2022/08/03 06:57:00 - mmengine - INFO - Epoch(train) [86][1280/1879] lr: 2.0000e-02 eta: 1 day, 6:38:42 time: 0.9101 data_time: 0.0282 memory: 11089 grad_norm: 4.2219 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7819 loss: 1.7819 2022/08/03 06:57:05 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 06:57:18 - mmengine - INFO - Epoch(train) [86][1300/1879] lr: 2.0000e-02 eta: 1 day, 6:38:24 time: 0.8977 data_time: 0.0240 memory: 11089 grad_norm: 4.3339 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9531 loss: 1.9531 2022/08/03 06:57:36 - mmengine - INFO - Epoch(train) [86][1320/1879] lr: 2.0000e-02 eta: 1 day, 6:38:06 time: 0.9116 data_time: 0.0225 memory: 11089 grad_norm: 4.2654 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0563 loss: 2.0563 2022/08/03 06:57:55 - mmengine - INFO - Epoch(train) [86][1340/1879] lr: 2.0000e-02 eta: 1 day, 6:37:47 time: 0.9200 data_time: 0.0217 memory: 11089 grad_norm: 4.1236 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0990 loss: 2.0990 2022/08/03 06:58:13 - mmengine - INFO - Epoch(train) [86][1360/1879] lr: 2.0000e-02 eta: 1 day, 6:37:29 time: 0.9120 data_time: 0.0284 memory: 11089 grad_norm: 4.1909 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0159 loss: 2.0159 2022/08/03 06:58:32 - mmengine - INFO - Epoch(train) [86][1380/1879] lr: 2.0000e-02 eta: 1 day, 6:37:11 time: 0.9289 data_time: 0.0270 memory: 11089 grad_norm: 4.0963 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1206 loss: 2.1206 2022/08/03 06:58:50 - mmengine - INFO - Epoch(train) [86][1400/1879] lr: 2.0000e-02 eta: 1 day, 6:36:53 time: 0.9216 data_time: 0.0285 memory: 11089 grad_norm: 4.1642 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0129 loss: 2.0129 2022/08/03 06:59:08 - mmengine - INFO - Epoch(train) [86][1420/1879] lr: 2.0000e-02 eta: 1 day, 6:36:35 time: 0.9089 data_time: 0.0224 memory: 11089 grad_norm: 4.1122 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8724 loss: 1.8724 2022/08/03 06:59:27 - mmengine - INFO - Epoch(train) [86][1440/1879] lr: 2.0000e-02 eta: 1 day, 6:36:17 time: 0.9305 data_time: 0.0262 memory: 11089 grad_norm: 4.2271 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9957 loss: 1.9957 2022/08/03 06:59:45 - mmengine - INFO - Epoch(train) [86][1460/1879] lr: 2.0000e-02 eta: 1 day, 6:35:58 time: 0.9038 data_time: 0.0280 memory: 11089 grad_norm: 4.4192 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0111 loss: 2.0111 2022/08/03 07:00:03 - mmengine - INFO - Epoch(train) [86][1480/1879] lr: 2.0000e-02 eta: 1 day, 6:35:40 time: 0.9111 data_time: 0.0322 memory: 11089 grad_norm: 4.1575 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7566 loss: 1.7566 2022/08/03 07:00:21 - mmengine - INFO - Epoch(train) [86][1500/1879] lr: 2.0000e-02 eta: 1 day, 6:35:22 time: 0.9008 data_time: 0.0257 memory: 11089 grad_norm: 4.2489 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9851 loss: 1.9851 2022/08/03 07:00:39 - mmengine - INFO - Epoch(train) [86][1520/1879] lr: 2.0000e-02 eta: 1 day, 6:35:03 time: 0.9051 data_time: 0.0248 memory: 11089 grad_norm: 4.1967 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9326 loss: 1.9326 2022/08/03 07:00:58 - mmengine - INFO - Epoch(train) [86][1540/1879] lr: 2.0000e-02 eta: 1 day, 6:34:45 time: 0.9391 data_time: 0.0255 memory: 11089 grad_norm: 4.1362 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2043 loss: 2.2043 2022/08/03 07:01:17 - mmengine - INFO - Epoch(train) [86][1560/1879] lr: 2.0000e-02 eta: 1 day, 6:34:27 time: 0.9251 data_time: 0.0254 memory: 11089 grad_norm: 4.2237 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9734 loss: 1.9734 2022/08/03 07:01:35 - mmengine - INFO - Epoch(train) [86][1580/1879] lr: 2.0000e-02 eta: 1 day, 6:34:09 time: 0.9208 data_time: 0.0330 memory: 11089 grad_norm: 4.2230 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8419 loss: 1.8419 2022/08/03 07:01:53 - mmengine - INFO - Epoch(train) [86][1600/1879] lr: 2.0000e-02 eta: 1 day, 6:33:51 time: 0.9192 data_time: 0.0256 memory: 11089 grad_norm: 4.1782 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8181 loss: 1.8181 2022/08/03 07:02:11 - mmengine - INFO - Epoch(train) [86][1620/1879] lr: 2.0000e-02 eta: 1 day, 6:33:32 time: 0.8992 data_time: 0.0203 memory: 11089 grad_norm: 4.2765 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0007 loss: 2.0007 2022/08/03 07:02:30 - mmengine - INFO - Epoch(train) [86][1640/1879] lr: 2.0000e-02 eta: 1 day, 6:33:14 time: 0.9271 data_time: 0.0340 memory: 11089 grad_norm: 4.3365 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9288 loss: 1.9288 2022/08/03 07:02:48 - mmengine - INFO - Epoch(train) [86][1660/1879] lr: 2.0000e-02 eta: 1 day, 6:32:56 time: 0.9139 data_time: 0.0301 memory: 11089 grad_norm: 4.2131 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9704 loss: 1.9704 2022/08/03 07:03:06 - mmengine - INFO - Epoch(train) [86][1680/1879] lr: 2.0000e-02 eta: 1 day, 6:32:38 time: 0.9017 data_time: 0.0223 memory: 11089 grad_norm: 4.1205 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1154 loss: 2.1154 2022/08/03 07:03:25 - mmengine - INFO - Epoch(train) [86][1700/1879] lr: 2.0000e-02 eta: 1 day, 6:32:19 time: 0.9114 data_time: 0.0265 memory: 11089 grad_norm: 4.1468 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8667 loss: 1.8667 2022/08/03 07:03:43 - mmengine - INFO - Epoch(train) [86][1720/1879] lr: 2.0000e-02 eta: 1 day, 6:32:01 time: 0.9002 data_time: 0.0236 memory: 11089 grad_norm: 4.1544 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9936 loss: 1.9936 2022/08/03 07:04:01 - mmengine - INFO - Epoch(train) [86][1740/1879] lr: 2.0000e-02 eta: 1 day, 6:31:43 time: 0.9209 data_time: 0.0242 memory: 11089 grad_norm: 4.1525 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9455 loss: 1.9455 2022/08/03 07:04:19 - mmengine - INFO - Epoch(train) [86][1760/1879] lr: 2.0000e-02 eta: 1 day, 6:31:25 time: 0.9200 data_time: 0.0268 memory: 11089 grad_norm: 4.0881 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7770 loss: 1.7770 2022/08/03 07:04:38 - mmengine - INFO - Epoch(train) [86][1780/1879] lr: 2.0000e-02 eta: 1 day, 6:31:06 time: 0.9086 data_time: 0.0237 memory: 11089 grad_norm: 4.2204 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7506 loss: 1.7506 2022/08/03 07:04:56 - mmengine - INFO - Epoch(train) [86][1800/1879] lr: 2.0000e-02 eta: 1 day, 6:30:48 time: 0.9323 data_time: 0.0269 memory: 11089 grad_norm: 4.2453 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9041 loss: 1.9041 2022/08/03 07:05:15 - mmengine - INFO - Epoch(train) [86][1820/1879] lr: 2.0000e-02 eta: 1 day, 6:30:31 time: 0.9335 data_time: 0.0302 memory: 11089 grad_norm: 4.2629 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.0956 loss: 2.0956 2022/08/03 07:05:33 - mmengine - INFO - Epoch(train) [86][1840/1879] lr: 2.0000e-02 eta: 1 day, 6:30:12 time: 0.9267 data_time: 0.0277 memory: 11089 grad_norm: 4.2027 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8429 loss: 1.8429 2022/08/03 07:05:52 - mmengine - INFO - Epoch(train) [86][1860/1879] lr: 2.0000e-02 eta: 1 day, 6:29:54 time: 0.9124 data_time: 0.0288 memory: 11089 grad_norm: 4.2996 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1390 loss: 2.1390 2022/08/03 07:06:09 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 07:06:09 - mmengine - INFO - Epoch(train) [86][1879/1879] lr: 2.0000e-02 eta: 1 day, 6:29:54 time: 0.8939 data_time: 0.0266 memory: 11089 grad_norm: 4.2701 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.7548 loss: 1.7548 2022/08/03 07:06:28 - mmengine - INFO - Epoch(train) [87][20/1879] lr: 2.0000e-02 eta: 1 day, 6:29:07 time: 0.9814 data_time: 0.1234 memory: 11089 grad_norm: 4.1997 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 2.0924 loss: 2.0924 2022/08/03 07:06:47 - mmengine - INFO - Epoch(train) [87][40/1879] lr: 2.0000e-02 eta: 1 day, 6:28:49 time: 0.9309 data_time: 0.0287 memory: 11089 grad_norm: 4.2997 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9035 loss: 1.9035 2022/08/03 07:07:05 - mmengine - INFO - Epoch(train) [87][60/1879] lr: 2.0000e-02 eta: 1 day, 6:28:30 time: 0.9110 data_time: 0.0255 memory: 11089 grad_norm: 4.3239 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1477 loss: 2.1477 2022/08/03 07:07:23 - mmengine - INFO - Epoch(train) [87][80/1879] lr: 2.0000e-02 eta: 1 day, 6:28:12 time: 0.9002 data_time: 0.0210 memory: 11089 grad_norm: 4.3520 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0899 loss: 2.0899 2022/08/03 07:07:41 - mmengine - INFO - Epoch(train) [87][100/1879] lr: 2.0000e-02 eta: 1 day, 6:27:54 time: 0.8970 data_time: 0.0298 memory: 11089 grad_norm: 4.2287 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0120 loss: 2.0120 2022/08/03 07:08:00 - mmengine - INFO - Epoch(train) [87][120/1879] lr: 2.0000e-02 eta: 1 day, 6:27:35 time: 0.9222 data_time: 0.0268 memory: 11089 grad_norm: 4.2683 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0015 loss: 2.0015 2022/08/03 07:08:18 - mmengine - INFO - Epoch(train) [87][140/1879] lr: 2.0000e-02 eta: 1 day, 6:27:17 time: 0.9126 data_time: 0.0220 memory: 11089 grad_norm: 4.1506 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7835 loss: 1.7835 2022/08/03 07:08:36 - mmengine - INFO - Epoch(train) [87][160/1879] lr: 2.0000e-02 eta: 1 day, 6:26:59 time: 0.9134 data_time: 0.0247 memory: 11089 grad_norm: 4.1932 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9723 loss: 1.9723 2022/08/03 07:08:57 - mmengine - INFO - Epoch(train) [87][180/1879] lr: 2.0000e-02 eta: 1 day, 6:26:43 time: 1.0400 data_time: 0.0209 memory: 11089 grad_norm: 4.0513 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9933 loss: 1.9933 2022/08/03 07:09:15 - mmengine - INFO - Epoch(train) [87][200/1879] lr: 2.0000e-02 eta: 1 day, 6:26:24 time: 0.8932 data_time: 0.0248 memory: 11089 grad_norm: 4.0380 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.0130 loss: 2.0130 2022/08/03 07:09:33 - mmengine - INFO - Epoch(train) [87][220/1879] lr: 2.0000e-02 eta: 1 day, 6:26:06 time: 0.9042 data_time: 0.0212 memory: 11089 grad_norm: 4.2968 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0706 loss: 2.0706 2022/08/03 07:09:51 - mmengine - INFO - Epoch(train) [87][240/1879] lr: 2.0000e-02 eta: 1 day, 6:25:47 time: 0.9090 data_time: 0.0276 memory: 11089 grad_norm: 4.3452 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7804 loss: 1.7804 2022/08/03 07:10:09 - mmengine - INFO - Epoch(train) [87][260/1879] lr: 2.0000e-02 eta: 1 day, 6:25:29 time: 0.9083 data_time: 0.0299 memory: 11089 grad_norm: 4.2316 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9015 loss: 1.9015 2022/08/03 07:10:28 - mmengine - INFO - Epoch(train) [87][280/1879] lr: 2.0000e-02 eta: 1 day, 6:25:11 time: 0.9197 data_time: 0.0308 memory: 11089 grad_norm: 4.1839 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9157 loss: 1.9157 2022/08/03 07:10:47 - mmengine - INFO - Epoch(train) [87][300/1879] lr: 2.0000e-02 eta: 1 day, 6:24:53 time: 0.9405 data_time: 0.0280 memory: 11089 grad_norm: 4.1849 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9675 loss: 1.9675 2022/08/03 07:11:05 - mmengine - INFO - Epoch(train) [87][320/1879] lr: 2.0000e-02 eta: 1 day, 6:24:35 time: 0.9224 data_time: 0.0252 memory: 11089 grad_norm: 4.1726 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6846 loss: 1.6846 2022/08/03 07:11:23 - mmengine - INFO - Epoch(train) [87][340/1879] lr: 2.0000e-02 eta: 1 day, 6:24:17 time: 0.9145 data_time: 0.0243 memory: 11089 grad_norm: 4.3749 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9309 loss: 1.9309 2022/08/03 07:11:42 - mmengine - INFO - Epoch(train) [87][360/1879] lr: 2.0000e-02 eta: 1 day, 6:23:59 time: 0.9250 data_time: 0.0310 memory: 11089 grad_norm: 4.2204 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7923 loss: 1.7923 2022/08/03 07:12:00 - mmengine - INFO - Epoch(train) [87][380/1879] lr: 2.0000e-02 eta: 1 day, 6:23:40 time: 0.9049 data_time: 0.0292 memory: 11089 grad_norm: 4.2615 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0084 loss: 2.0084 2022/08/03 07:12:18 - mmengine - INFO - Epoch(train) [87][400/1879] lr: 2.0000e-02 eta: 1 day, 6:23:22 time: 0.9241 data_time: 0.0289 memory: 11089 grad_norm: 4.2447 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1010 loss: 2.1010 2022/08/03 07:12:24 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 07:12:37 - mmengine - INFO - Epoch(train) [87][420/1879] lr: 2.0000e-02 eta: 1 day, 6:23:04 time: 0.9190 data_time: 0.0262 memory: 11089 grad_norm: 4.1675 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9890 loss: 1.9890 2022/08/03 07:12:55 - mmengine - INFO - Epoch(train) [87][440/1879] lr: 2.0000e-02 eta: 1 day, 6:22:46 time: 0.9225 data_time: 0.0277 memory: 11089 grad_norm: 4.1709 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9305 loss: 1.9305 2022/08/03 07:13:13 - mmengine - INFO - Epoch(train) [87][460/1879] lr: 2.0000e-02 eta: 1 day, 6:22:27 time: 0.9023 data_time: 0.0234 memory: 11089 grad_norm: 4.2363 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7663 loss: 1.7663 2022/08/03 07:13:32 - mmengine - INFO - Epoch(train) [87][480/1879] lr: 2.0000e-02 eta: 1 day, 6:22:09 time: 0.9131 data_time: 0.0242 memory: 11089 grad_norm: 4.1557 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6764 loss: 1.6764 2022/08/03 07:13:49 - mmengine - INFO - Epoch(train) [87][500/1879] lr: 2.0000e-02 eta: 1 day, 6:21:51 time: 0.8969 data_time: 0.0232 memory: 11089 grad_norm: 4.1789 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8373 loss: 1.8373 2022/08/03 07:14:08 - mmengine - INFO - Epoch(train) [87][520/1879] lr: 2.0000e-02 eta: 1 day, 6:21:32 time: 0.9000 data_time: 0.0266 memory: 11089 grad_norm: 4.2463 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7594 loss: 1.7594 2022/08/03 07:14:26 - mmengine - INFO - Epoch(train) [87][540/1879] lr: 2.0000e-02 eta: 1 day, 6:21:14 time: 0.9152 data_time: 0.0244 memory: 11089 grad_norm: 4.2134 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8097 loss: 1.8097 2022/08/03 07:14:44 - mmengine - INFO - Epoch(train) [87][560/1879] lr: 2.0000e-02 eta: 1 day, 6:20:56 time: 0.9027 data_time: 0.0266 memory: 11089 grad_norm: 4.1945 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7957 loss: 1.7957 2022/08/03 07:15:02 - mmengine - INFO - Epoch(train) [87][580/1879] lr: 2.0000e-02 eta: 1 day, 6:20:37 time: 0.9120 data_time: 0.0348 memory: 11089 grad_norm: 4.1836 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7721 loss: 1.7721 2022/08/03 07:15:21 - mmengine - INFO - Epoch(train) [87][600/1879] lr: 2.0000e-02 eta: 1 day, 6:20:19 time: 0.9215 data_time: 0.0245 memory: 11089 grad_norm: 4.2476 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9470 loss: 1.9470 2022/08/03 07:15:39 - mmengine - INFO - Epoch(train) [87][620/1879] lr: 2.0000e-02 eta: 1 day, 6:20:01 time: 0.9195 data_time: 0.0203 memory: 11089 grad_norm: 4.0991 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9272 loss: 1.9272 2022/08/03 07:15:57 - mmengine - INFO - Epoch(train) [87][640/1879] lr: 2.0000e-02 eta: 1 day, 6:19:43 time: 0.9255 data_time: 0.0287 memory: 11089 grad_norm: 4.2047 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8599 loss: 1.8599 2022/08/03 07:16:16 - mmengine - INFO - Epoch(train) [87][660/1879] lr: 2.0000e-02 eta: 1 day, 6:19:25 time: 0.9231 data_time: 0.0328 memory: 11089 grad_norm: 4.2380 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.1439 loss: 2.1439 2022/08/03 07:16:34 - mmengine - INFO - Epoch(train) [87][680/1879] lr: 2.0000e-02 eta: 1 day, 6:19:06 time: 0.9044 data_time: 0.0251 memory: 11089 grad_norm: 4.1400 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9128 loss: 1.9128 2022/08/03 07:16:52 - mmengine - INFO - Epoch(train) [87][700/1879] lr: 2.0000e-02 eta: 1 day, 6:18:48 time: 0.9035 data_time: 0.0248 memory: 11089 grad_norm: 4.2438 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 1.7966 loss: 1.7966 2022/08/03 07:17:11 - mmengine - INFO - Epoch(train) [87][720/1879] lr: 2.0000e-02 eta: 1 day, 6:18:30 time: 0.9248 data_time: 0.0288 memory: 11089 grad_norm: 4.2054 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1028 loss: 2.1028 2022/08/03 07:17:29 - mmengine - INFO - Epoch(train) [87][740/1879] lr: 2.0000e-02 eta: 1 day, 6:18:12 time: 0.9279 data_time: 0.0273 memory: 11089 grad_norm: 4.1467 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9213 loss: 1.9213 2022/08/03 07:17:48 - mmengine - INFO - Epoch(train) [87][760/1879] lr: 2.0000e-02 eta: 1 day, 6:17:54 time: 0.9281 data_time: 0.0296 memory: 11089 grad_norm: 4.2254 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8921 loss: 1.8921 2022/08/03 07:18:06 - mmengine - INFO - Epoch(train) [87][780/1879] lr: 2.0000e-02 eta: 1 day, 6:17:36 time: 0.9254 data_time: 0.0240 memory: 11089 grad_norm: 4.2547 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0585 loss: 2.0585 2022/08/03 07:18:24 - mmengine - INFO - Epoch(train) [87][800/1879] lr: 2.0000e-02 eta: 1 day, 6:17:17 time: 0.8975 data_time: 0.0287 memory: 11089 grad_norm: 4.2329 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0822 loss: 2.0822 2022/08/03 07:18:42 - mmengine - INFO - Epoch(train) [87][820/1879] lr: 2.0000e-02 eta: 1 day, 6:16:59 time: 0.9158 data_time: 0.0254 memory: 11089 grad_norm: 4.2023 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9105 loss: 1.9105 2022/08/03 07:19:01 - mmengine - INFO - Epoch(train) [87][840/1879] lr: 2.0000e-02 eta: 1 day, 6:16:41 time: 0.9065 data_time: 0.0300 memory: 11089 grad_norm: 4.2227 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9217 loss: 1.9217 2022/08/03 07:19:19 - mmengine - INFO - Epoch(train) [87][860/1879] lr: 2.0000e-02 eta: 1 day, 6:16:23 time: 0.9153 data_time: 0.0229 memory: 11089 grad_norm: 4.2632 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8563 loss: 1.8563 2022/08/03 07:19:37 - mmengine - INFO - Epoch(train) [87][880/1879] lr: 2.0000e-02 eta: 1 day, 6:16:04 time: 0.9046 data_time: 0.0220 memory: 11089 grad_norm: 4.1774 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0508 loss: 2.0508 2022/08/03 07:19:55 - mmengine - INFO - Epoch(train) [87][900/1879] lr: 2.0000e-02 eta: 1 day, 6:15:46 time: 0.9203 data_time: 0.0238 memory: 11089 grad_norm: 4.1227 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7539 loss: 1.7539 2022/08/03 07:20:14 - mmengine - INFO - Epoch(train) [87][920/1879] lr: 2.0000e-02 eta: 1 day, 6:15:28 time: 0.9090 data_time: 0.0282 memory: 11089 grad_norm: 4.3587 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9379 loss: 1.9379 2022/08/03 07:20:32 - mmengine - INFO - Epoch(train) [87][940/1879] lr: 2.0000e-02 eta: 1 day, 6:15:09 time: 0.9069 data_time: 0.0248 memory: 11089 grad_norm: 4.2544 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7959 loss: 1.7959 2022/08/03 07:20:50 - mmengine - INFO - Epoch(train) [87][960/1879] lr: 2.0000e-02 eta: 1 day, 6:14:51 time: 0.9253 data_time: 0.0359 memory: 11089 grad_norm: 4.2893 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7798 loss: 1.7798 2022/08/03 07:21:09 - mmengine - INFO - Epoch(train) [87][980/1879] lr: 2.0000e-02 eta: 1 day, 6:14:33 time: 0.9107 data_time: 0.0208 memory: 11089 grad_norm: 4.3184 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.0903 loss: 2.0903 2022/08/03 07:21:27 - mmengine - INFO - Epoch(train) [87][1000/1879] lr: 2.0000e-02 eta: 1 day, 6:14:15 time: 0.9236 data_time: 0.0380 memory: 11089 grad_norm: 4.2037 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8851 loss: 1.8851 2022/08/03 07:21:45 - mmengine - INFO - Epoch(train) [87][1020/1879] lr: 2.0000e-02 eta: 1 day, 6:13:57 time: 0.8995 data_time: 0.0241 memory: 11089 grad_norm: 4.1631 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7707 loss: 1.7707 2022/08/03 07:22:03 - mmengine - INFO - Epoch(train) [87][1040/1879] lr: 2.0000e-02 eta: 1 day, 6:13:38 time: 0.9196 data_time: 0.0285 memory: 11089 grad_norm: 4.2672 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8439 loss: 1.8439 2022/08/03 07:22:22 - mmengine - INFO - Epoch(train) [87][1060/1879] lr: 2.0000e-02 eta: 1 day, 6:13:21 time: 0.9419 data_time: 0.0325 memory: 11089 grad_norm: 4.2263 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9946 loss: 1.9946 2022/08/03 07:22:41 - mmengine - INFO - Epoch(train) [87][1080/1879] lr: 2.0000e-02 eta: 1 day, 6:13:02 time: 0.9175 data_time: 0.0235 memory: 11089 grad_norm: 4.2895 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9942 loss: 1.9942 2022/08/03 07:22:59 - mmengine - INFO - Epoch(train) [87][1100/1879] lr: 2.0000e-02 eta: 1 day, 6:12:44 time: 0.9183 data_time: 0.0264 memory: 11089 grad_norm: 4.3218 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8587 loss: 1.8587 2022/08/03 07:23:17 - mmengine - INFO - Epoch(train) [87][1120/1879] lr: 2.0000e-02 eta: 1 day, 6:12:26 time: 0.9151 data_time: 0.0299 memory: 11089 grad_norm: 4.2230 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8917 loss: 1.8917 2022/08/03 07:23:35 - mmengine - INFO - Epoch(train) [87][1140/1879] lr: 2.0000e-02 eta: 1 day, 6:12:08 time: 0.9049 data_time: 0.0264 memory: 11089 grad_norm: 4.3327 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7764 loss: 1.7764 2022/08/03 07:23:54 - mmengine - INFO - Epoch(train) [87][1160/1879] lr: 2.0000e-02 eta: 1 day, 6:11:49 time: 0.9105 data_time: 0.0256 memory: 11089 grad_norm: 4.1020 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0482 loss: 2.0482 2022/08/03 07:24:12 - mmengine - INFO - Epoch(train) [87][1180/1879] lr: 2.0000e-02 eta: 1 day, 6:11:31 time: 0.9154 data_time: 0.0240 memory: 11089 grad_norm: 4.2138 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9181 loss: 1.9181 2022/08/03 07:24:30 - mmengine - INFO - Epoch(train) [87][1200/1879] lr: 2.0000e-02 eta: 1 day, 6:11:13 time: 0.9098 data_time: 0.0302 memory: 11089 grad_norm: 4.3728 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9387 loss: 1.9387 2022/08/03 07:24:49 - mmengine - INFO - Epoch(train) [87][1220/1879] lr: 2.0000e-02 eta: 1 day, 6:10:55 time: 0.9247 data_time: 0.0298 memory: 11089 grad_norm: 4.1445 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9338 loss: 1.9338 2022/08/03 07:25:07 - mmengine - INFO - Epoch(train) [87][1240/1879] lr: 2.0000e-02 eta: 1 day, 6:10:36 time: 0.9016 data_time: 0.0199 memory: 11089 grad_norm: 4.1778 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0988 loss: 2.0988 2022/08/03 07:25:25 - mmengine - INFO - Epoch(train) [87][1260/1879] lr: 2.0000e-02 eta: 1 day, 6:10:18 time: 0.9069 data_time: 0.0306 memory: 11089 grad_norm: 4.2085 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0832 loss: 2.0832 2022/08/03 07:25:43 - mmengine - INFO - Epoch(train) [87][1280/1879] lr: 2.0000e-02 eta: 1 day, 6:10:00 time: 0.9183 data_time: 0.0250 memory: 11089 grad_norm: 4.0554 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7418 loss: 1.7418 2022/08/03 07:26:01 - mmengine - INFO - Epoch(train) [87][1300/1879] lr: 2.0000e-02 eta: 1 day, 6:09:41 time: 0.9029 data_time: 0.0294 memory: 11089 grad_norm: 4.2122 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7745 loss: 1.7745 2022/08/03 07:26:20 - mmengine - INFO - Epoch(train) [87][1320/1879] lr: 2.0000e-02 eta: 1 day, 6:09:23 time: 0.9235 data_time: 0.0249 memory: 11089 grad_norm: 4.1922 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9382 loss: 1.9382 2022/08/03 07:26:38 - mmengine - INFO - Epoch(train) [87][1340/1879] lr: 2.0000e-02 eta: 1 day, 6:09:05 time: 0.9049 data_time: 0.0223 memory: 11089 grad_norm: 4.1506 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8461 loss: 1.8461 2022/08/03 07:26:56 - mmengine - INFO - Epoch(train) [87][1360/1879] lr: 2.0000e-02 eta: 1 day, 6:08:47 time: 0.9105 data_time: 0.0249 memory: 11089 grad_norm: 4.2728 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2327 loss: 2.2327 2022/08/03 07:27:14 - mmengine - INFO - Epoch(train) [87][1380/1879] lr: 2.0000e-02 eta: 1 day, 6:08:28 time: 0.9027 data_time: 0.0293 memory: 11089 grad_norm: 4.2570 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7861 loss: 1.7861 2022/08/03 07:27:33 - mmengine - INFO - Epoch(train) [87][1400/1879] lr: 2.0000e-02 eta: 1 day, 6:08:10 time: 0.9274 data_time: 0.0225 memory: 11089 grad_norm: 4.1909 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0982 loss: 2.0982 2022/08/03 07:27:38 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 07:27:51 - mmengine - INFO - Epoch(train) [87][1420/1879] lr: 2.0000e-02 eta: 1 day, 6:07:52 time: 0.9009 data_time: 0.0235 memory: 11089 grad_norm: 4.1498 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1189 loss: 2.1189 2022/08/03 07:28:08 - mmengine - INFO - Epoch(train) [87][1440/1879] lr: 2.0000e-02 eta: 1 day, 6:07:33 time: 0.8928 data_time: 0.0206 memory: 11089 grad_norm: 4.1405 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0811 loss: 2.0811 2022/08/03 07:28:27 - mmengine - INFO - Epoch(train) [87][1460/1879] lr: 2.0000e-02 eta: 1 day, 6:07:15 time: 0.9145 data_time: 0.0262 memory: 11089 grad_norm: 4.2075 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7075 loss: 1.7075 2022/08/03 07:28:45 - mmengine - INFO - Epoch(train) [87][1480/1879] lr: 2.0000e-02 eta: 1 day, 6:06:57 time: 0.9115 data_time: 0.0252 memory: 11089 grad_norm: 4.2921 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8754 loss: 1.8754 2022/08/03 07:29:03 - mmengine - INFO - Epoch(train) [87][1500/1879] lr: 2.0000e-02 eta: 1 day, 6:06:39 time: 0.9172 data_time: 0.0221 memory: 11089 grad_norm: 4.2008 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1040 loss: 2.1040 2022/08/03 07:29:21 - mmengine - INFO - Epoch(train) [87][1520/1879] lr: 2.0000e-02 eta: 1 day, 6:06:20 time: 0.9071 data_time: 0.0271 memory: 11089 grad_norm: 4.1684 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7766 loss: 1.7766 2022/08/03 07:29:40 - mmengine - INFO - Epoch(train) [87][1540/1879] lr: 2.0000e-02 eta: 1 day, 6:06:02 time: 0.9101 data_time: 0.0265 memory: 11089 grad_norm: 4.3702 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9849 loss: 1.9849 2022/08/03 07:29:58 - mmengine - INFO - Epoch(train) [87][1560/1879] lr: 2.0000e-02 eta: 1 day, 6:05:44 time: 0.9171 data_time: 0.0280 memory: 11089 grad_norm: 4.1755 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8366 loss: 1.8366 2022/08/03 07:30:16 - mmengine - INFO - Epoch(train) [87][1580/1879] lr: 2.0000e-02 eta: 1 day, 6:05:25 time: 0.9060 data_time: 0.0266 memory: 11089 grad_norm: 4.3148 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9117 loss: 1.9117 2022/08/03 07:30:35 - mmengine - INFO - Epoch(train) [87][1600/1879] lr: 2.0000e-02 eta: 1 day, 6:05:07 time: 0.9205 data_time: 0.0306 memory: 11089 grad_norm: 4.2283 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1122 loss: 2.1122 2022/08/03 07:30:53 - mmengine - INFO - Epoch(train) [87][1620/1879] lr: 2.0000e-02 eta: 1 day, 6:04:49 time: 0.9052 data_time: 0.0243 memory: 11089 grad_norm: 4.2674 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9668 loss: 1.9668 2022/08/03 07:31:11 - mmengine - INFO - Epoch(train) [87][1640/1879] lr: 2.0000e-02 eta: 1 day, 6:04:31 time: 0.9265 data_time: 0.0312 memory: 11089 grad_norm: 4.3367 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0369 loss: 2.0369 2022/08/03 07:31:30 - mmengine - INFO - Epoch(train) [87][1660/1879] lr: 2.0000e-02 eta: 1 day, 6:04:13 time: 0.9241 data_time: 0.0269 memory: 11089 grad_norm: 4.2425 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8112 loss: 1.8112 2022/08/03 07:31:48 - mmengine - INFO - Epoch(train) [87][1680/1879] lr: 2.0000e-02 eta: 1 day, 6:03:55 time: 0.9307 data_time: 0.0299 memory: 11089 grad_norm: 4.2193 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7511 loss: 1.7511 2022/08/03 07:32:07 - mmengine - INFO - Epoch(train) [87][1700/1879] lr: 2.0000e-02 eta: 1 day, 6:03:37 time: 0.9268 data_time: 0.0311 memory: 11089 grad_norm: 4.1989 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9121 loss: 1.9121 2022/08/03 07:32:25 - mmengine - INFO - Epoch(train) [87][1720/1879] lr: 2.0000e-02 eta: 1 day, 6:03:18 time: 0.9110 data_time: 0.0262 memory: 11089 grad_norm: 4.3079 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9119 loss: 1.9119 2022/08/03 07:32:43 - mmengine - INFO - Epoch(train) [87][1740/1879] lr: 2.0000e-02 eta: 1 day, 6:03:00 time: 0.9169 data_time: 0.0274 memory: 11089 grad_norm: 4.2784 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9967 loss: 1.9967 2022/08/03 07:33:02 - mmengine - INFO - Epoch(train) [87][1760/1879] lr: 2.0000e-02 eta: 1 day, 6:02:42 time: 0.9335 data_time: 0.0280 memory: 11089 grad_norm: 4.2487 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0420 loss: 2.0420 2022/08/03 07:33:20 - mmengine - INFO - Epoch(train) [87][1780/1879] lr: 2.0000e-02 eta: 1 day, 6:02:24 time: 0.9048 data_time: 0.0252 memory: 11089 grad_norm: 4.2611 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1613 loss: 2.1613 2022/08/03 07:33:38 - mmengine - INFO - Epoch(train) [87][1800/1879] lr: 2.0000e-02 eta: 1 day, 6:02:06 time: 0.9119 data_time: 0.0266 memory: 11089 grad_norm: 4.2035 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9450 loss: 1.9450 2022/08/03 07:33:57 - mmengine - INFO - Epoch(train) [87][1820/1879] lr: 2.0000e-02 eta: 1 day, 6:01:47 time: 0.9121 data_time: 0.0259 memory: 11089 grad_norm: 4.2357 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6789 loss: 1.6789 2022/08/03 07:34:15 - mmengine - INFO - Epoch(train) [87][1840/1879] lr: 2.0000e-02 eta: 1 day, 6:01:29 time: 0.9169 data_time: 0.0260 memory: 11089 grad_norm: 4.1437 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.9300 loss: 1.9300 2022/08/03 07:34:33 - mmengine - INFO - Epoch(train) [87][1860/1879] lr: 2.0000e-02 eta: 1 day, 6:01:11 time: 0.9201 data_time: 0.0251 memory: 11089 grad_norm: 4.1838 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9170 loss: 1.9170 2022/08/03 07:34:51 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 07:34:51 - mmengine - INFO - Epoch(train) [87][1879/1879] lr: 2.0000e-02 eta: 1 day, 6:01:11 time: 0.9080 data_time: 0.0260 memory: 11089 grad_norm: 4.2959 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.9121 loss: 1.9121 2022/08/03 07:35:11 - mmengine - INFO - Epoch(train) [88][20/1879] lr: 2.0000e-02 eta: 1 day, 6:00:24 time: 1.0034 data_time: 0.1093 memory: 11089 grad_norm: 4.0899 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8323 loss: 1.8323 2022/08/03 07:35:29 - mmengine - INFO - Epoch(train) [88][40/1879] lr: 2.0000e-02 eta: 1 day, 6:00:06 time: 0.9119 data_time: 0.0264 memory: 11089 grad_norm: 4.2695 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8365 loss: 1.8365 2022/08/03 07:35:47 - mmengine - INFO - Epoch(train) [88][60/1879] lr: 2.0000e-02 eta: 1 day, 5:59:47 time: 0.9051 data_time: 0.0253 memory: 11089 grad_norm: 4.1220 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8915 loss: 1.8915 2022/08/03 07:36:06 - mmengine - INFO - Epoch(train) [88][80/1879] lr: 2.0000e-02 eta: 1 day, 5:59:29 time: 0.9148 data_time: 0.0289 memory: 11089 grad_norm: 4.3182 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7348 loss: 1.7348 2022/08/03 07:36:24 - mmengine - INFO - Epoch(train) [88][100/1879] lr: 2.0000e-02 eta: 1 day, 5:59:11 time: 0.9140 data_time: 0.0310 memory: 11089 grad_norm: 4.2514 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9091 loss: 1.9091 2022/08/03 07:36:42 - mmengine - INFO - Epoch(train) [88][120/1879] lr: 2.0000e-02 eta: 1 day, 5:58:53 time: 0.9257 data_time: 0.0274 memory: 11089 grad_norm: 4.2583 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7589 loss: 1.7589 2022/08/03 07:37:01 - mmengine - INFO - Epoch(train) [88][140/1879] lr: 2.0000e-02 eta: 1 day, 5:58:35 time: 0.9200 data_time: 0.0273 memory: 11089 grad_norm: 4.2666 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.9319 loss: 1.9319 2022/08/03 07:37:19 - mmengine - INFO - Epoch(train) [88][160/1879] lr: 2.0000e-02 eta: 1 day, 5:58:17 time: 0.9154 data_time: 0.0225 memory: 11089 grad_norm: 4.2058 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0142 loss: 2.0142 2022/08/03 07:37:38 - mmengine - INFO - Epoch(train) [88][180/1879] lr: 2.0000e-02 eta: 1 day, 5:57:59 time: 0.9253 data_time: 0.0265 memory: 11089 grad_norm: 4.1384 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7753 loss: 1.7753 2022/08/03 07:37:55 - mmengine - INFO - Epoch(train) [88][200/1879] lr: 2.0000e-02 eta: 1 day, 5:57:40 time: 0.8926 data_time: 0.0307 memory: 11089 grad_norm: 4.1704 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0735 loss: 2.0735 2022/08/03 07:38:14 - mmengine - INFO - Epoch(train) [88][220/1879] lr: 2.0000e-02 eta: 1 day, 5:57:22 time: 0.9145 data_time: 0.0267 memory: 11089 grad_norm: 4.2248 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9429 loss: 1.9429 2022/08/03 07:38:32 - mmengine - INFO - Epoch(train) [88][240/1879] lr: 2.0000e-02 eta: 1 day, 5:57:04 time: 0.9227 data_time: 0.0281 memory: 11089 grad_norm: 4.2537 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8567 loss: 1.8567 2022/08/03 07:38:51 - mmengine - INFO - Epoch(train) [88][260/1879] lr: 2.0000e-02 eta: 1 day, 5:56:46 time: 0.9304 data_time: 0.0266 memory: 11089 grad_norm: 4.2336 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8382 loss: 1.8382 2022/08/03 07:39:09 - mmengine - INFO - Epoch(train) [88][280/1879] lr: 2.0000e-02 eta: 1 day, 5:56:27 time: 0.9004 data_time: 0.0238 memory: 11089 grad_norm: 4.1835 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0345 loss: 2.0345 2022/08/03 07:39:27 - mmengine - INFO - Epoch(train) [88][300/1879] lr: 2.0000e-02 eta: 1 day, 5:56:09 time: 0.9240 data_time: 0.0305 memory: 11089 grad_norm: 4.2850 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8988 loss: 1.8988 2022/08/03 07:39:45 - mmengine - INFO - Epoch(train) [88][320/1879] lr: 2.0000e-02 eta: 1 day, 5:55:51 time: 0.9040 data_time: 0.0243 memory: 11089 grad_norm: 4.2108 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8846 loss: 1.8846 2022/08/03 07:40:04 - mmengine - INFO - Epoch(train) [88][340/1879] lr: 2.0000e-02 eta: 1 day, 5:55:33 time: 0.9220 data_time: 0.0319 memory: 11089 grad_norm: 4.1246 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8026 loss: 1.8026 2022/08/03 07:40:22 - mmengine - INFO - Epoch(train) [88][360/1879] lr: 2.0000e-02 eta: 1 day, 5:55:14 time: 0.9144 data_time: 0.0275 memory: 11089 grad_norm: 4.2335 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0151 loss: 2.0151 2022/08/03 07:40:41 - mmengine - INFO - Epoch(train) [88][380/1879] lr: 2.0000e-02 eta: 1 day, 5:54:56 time: 0.9225 data_time: 0.0274 memory: 11089 grad_norm: 4.2146 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.9766 loss: 1.9766 2022/08/03 07:40:59 - mmengine - INFO - Epoch(train) [88][400/1879] lr: 2.0000e-02 eta: 1 day, 5:54:38 time: 0.8972 data_time: 0.0204 memory: 11089 grad_norm: 4.2212 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9375 loss: 1.9375 2022/08/03 07:41:16 - mmengine - INFO - Epoch(train) [88][420/1879] lr: 2.0000e-02 eta: 1 day, 5:54:19 time: 0.8971 data_time: 0.0204 memory: 11089 grad_norm: 4.2071 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8801 loss: 1.8801 2022/08/03 07:41:35 - mmengine - INFO - Epoch(train) [88][440/1879] lr: 2.0000e-02 eta: 1 day, 5:54:01 time: 0.9055 data_time: 0.0259 memory: 11089 grad_norm: 4.3776 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9863 loss: 1.9863 2022/08/03 07:41:53 - mmengine - INFO - Epoch(train) [88][460/1879] lr: 2.0000e-02 eta: 1 day, 5:53:43 time: 0.9109 data_time: 0.0291 memory: 11089 grad_norm: 4.1919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1597 loss: 2.1597 2022/08/03 07:42:11 - mmengine - INFO - Epoch(train) [88][480/1879] lr: 2.0000e-02 eta: 1 day, 5:53:24 time: 0.9028 data_time: 0.0189 memory: 11089 grad_norm: 4.1295 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9986 loss: 1.9986 2022/08/03 07:42:29 - mmengine - INFO - Epoch(train) [88][500/1879] lr: 2.0000e-02 eta: 1 day, 5:53:06 time: 0.9296 data_time: 0.0269 memory: 11089 grad_norm: 4.3110 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9018 loss: 1.9018 2022/08/03 07:42:48 - mmengine - INFO - Epoch(train) [88][520/1879] lr: 2.0000e-02 eta: 1 day, 5:52:48 time: 0.9213 data_time: 0.0339 memory: 11089 grad_norm: 4.2273 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9701 loss: 1.9701 2022/08/03 07:42:54 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 07:43:06 - mmengine - INFO - Epoch(train) [88][540/1879] lr: 2.0000e-02 eta: 1 day, 5:52:30 time: 0.9233 data_time: 0.0235 memory: 11089 grad_norm: 4.2873 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.9684 loss: 1.9684 2022/08/03 07:43:25 - mmengine - INFO - Epoch(train) [88][560/1879] lr: 2.0000e-02 eta: 1 day, 5:52:12 time: 0.9207 data_time: 0.0310 memory: 11089 grad_norm: 4.2653 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9220 loss: 1.9220 2022/08/03 07:43:43 - mmengine - INFO - Epoch(train) [88][580/1879] lr: 2.0000e-02 eta: 1 day, 5:51:54 time: 0.9078 data_time: 0.0193 memory: 11089 grad_norm: 4.1723 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8705 loss: 1.8705 2022/08/03 07:44:01 - mmengine - INFO - Epoch(train) [88][600/1879] lr: 2.0000e-02 eta: 1 day, 5:51:35 time: 0.9221 data_time: 0.0280 memory: 11089 grad_norm: 4.3537 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8991 loss: 1.8991 2022/08/03 07:44:19 - mmengine - INFO - Epoch(train) [88][620/1879] lr: 2.0000e-02 eta: 1 day, 5:51:17 time: 0.9051 data_time: 0.0239 memory: 11089 grad_norm: 4.1784 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7629 loss: 1.7629 2022/08/03 07:44:38 - mmengine - INFO - Epoch(train) [88][640/1879] lr: 2.0000e-02 eta: 1 day, 5:50:59 time: 0.9118 data_time: 0.0238 memory: 11089 grad_norm: 3.9601 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8484 loss: 1.8484 2022/08/03 07:44:56 - mmengine - INFO - Epoch(train) [88][660/1879] lr: 2.0000e-02 eta: 1 day, 5:50:41 time: 0.9175 data_time: 0.0311 memory: 11089 grad_norm: 4.2433 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8228 loss: 1.8228 2022/08/03 07:45:14 - mmengine - INFO - Epoch(train) [88][680/1879] lr: 2.0000e-02 eta: 1 day, 5:50:22 time: 0.9142 data_time: 0.0196 memory: 11089 grad_norm: 4.2896 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8344 loss: 1.8344 2022/08/03 07:45:33 - mmengine - INFO - Epoch(train) [88][700/1879] lr: 2.0000e-02 eta: 1 day, 5:50:04 time: 0.9316 data_time: 0.0342 memory: 11089 grad_norm: 4.2598 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0204 loss: 2.0204 2022/08/03 07:45:52 - mmengine - INFO - Epoch(train) [88][720/1879] lr: 2.0000e-02 eta: 1 day, 5:49:46 time: 0.9278 data_time: 0.0333 memory: 11089 grad_norm: 4.1503 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8679 loss: 1.8679 2022/08/03 07:46:10 - mmengine - INFO - Epoch(train) [88][740/1879] lr: 2.0000e-02 eta: 1 day, 5:49:28 time: 0.9214 data_time: 0.0270 memory: 11089 grad_norm: 4.1306 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6905 loss: 1.6905 2022/08/03 07:46:28 - mmengine - INFO - Epoch(train) [88][760/1879] lr: 2.0000e-02 eta: 1 day, 5:49:10 time: 0.9219 data_time: 0.0317 memory: 11089 grad_norm: 4.2278 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9323 loss: 1.9323 2022/08/03 07:46:47 - mmengine - INFO - Epoch(train) [88][780/1879] lr: 2.0000e-02 eta: 1 day, 5:48:52 time: 0.9272 data_time: 0.0292 memory: 11089 grad_norm: 4.2230 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8632 loss: 1.8632 2022/08/03 07:47:05 - mmengine - INFO - Epoch(train) [88][800/1879] lr: 2.0000e-02 eta: 1 day, 5:48:34 time: 0.9183 data_time: 0.0326 memory: 11089 grad_norm: 4.3145 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9153 loss: 1.9153 2022/08/03 07:47:24 - mmengine - INFO - Epoch(train) [88][820/1879] lr: 2.0000e-02 eta: 1 day, 5:48:16 time: 0.9167 data_time: 0.0262 memory: 11089 grad_norm: 4.1916 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8856 loss: 1.8856 2022/08/03 07:47:42 - mmengine - INFO - Epoch(train) [88][840/1879] lr: 2.0000e-02 eta: 1 day, 5:47:57 time: 0.9085 data_time: 0.0252 memory: 11089 grad_norm: 4.1903 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0570 loss: 2.0570 2022/08/03 07:48:00 - mmengine - INFO - Epoch(train) [88][860/1879] lr: 2.0000e-02 eta: 1 day, 5:47:39 time: 0.9159 data_time: 0.0247 memory: 11089 grad_norm: 4.2797 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8771 loss: 1.8771 2022/08/03 07:48:19 - mmengine - INFO - Epoch(train) [88][880/1879] lr: 2.0000e-02 eta: 1 day, 5:47:21 time: 0.9181 data_time: 0.0297 memory: 11089 grad_norm: 4.1825 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9370 loss: 1.9370 2022/08/03 07:48:37 - mmengine - INFO - Epoch(train) [88][900/1879] lr: 2.0000e-02 eta: 1 day, 5:47:03 time: 0.9037 data_time: 0.0229 memory: 11089 grad_norm: 4.2025 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7213 loss: 1.7213 2022/08/03 07:48:55 - mmengine - INFO - Epoch(train) [88][920/1879] lr: 2.0000e-02 eta: 1 day, 5:46:44 time: 0.9014 data_time: 0.0231 memory: 11089 grad_norm: 4.2575 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9918 loss: 1.9918 2022/08/03 07:49:13 - mmengine - INFO - Epoch(train) [88][940/1879] lr: 2.0000e-02 eta: 1 day, 5:46:26 time: 0.9239 data_time: 0.0247 memory: 11089 grad_norm: 4.1245 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8313 loss: 1.8313 2022/08/03 07:49:31 - mmengine - INFO - Epoch(train) [88][960/1879] lr: 2.0000e-02 eta: 1 day, 5:46:08 time: 0.9137 data_time: 0.0226 memory: 11089 grad_norm: 4.2654 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8156 loss: 1.8156 2022/08/03 07:49:50 - mmengine - INFO - Epoch(train) [88][980/1879] lr: 2.0000e-02 eta: 1 day, 5:45:50 time: 0.9119 data_time: 0.0260 memory: 11089 grad_norm: 4.1837 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9521 loss: 1.9521 2022/08/03 07:50:08 - mmengine - INFO - Epoch(train) [88][1000/1879] lr: 2.0000e-02 eta: 1 day, 5:45:32 time: 0.9344 data_time: 0.0304 memory: 11089 grad_norm: 4.3140 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9515 loss: 1.9515 2022/08/03 07:50:26 - mmengine - INFO - Epoch(train) [88][1020/1879] lr: 2.0000e-02 eta: 1 day, 5:45:13 time: 0.9051 data_time: 0.0327 memory: 11089 grad_norm: 4.3345 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9408 loss: 1.9408 2022/08/03 07:50:45 - mmengine - INFO - Epoch(train) [88][1040/1879] lr: 2.0000e-02 eta: 1 day, 5:44:55 time: 0.9088 data_time: 0.0250 memory: 11089 grad_norm: 4.3107 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1354 loss: 2.1354 2022/08/03 07:51:03 - mmengine - INFO - Epoch(train) [88][1060/1879] lr: 2.0000e-02 eta: 1 day, 5:44:37 time: 0.9179 data_time: 0.0312 memory: 11089 grad_norm: 4.1898 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8682 loss: 1.8682 2022/08/03 07:51:21 - mmengine - INFO - Epoch(train) [88][1080/1879] lr: 2.0000e-02 eta: 1 day, 5:44:19 time: 0.9233 data_time: 0.0261 memory: 11089 grad_norm: 4.2042 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8816 loss: 1.8816 2022/08/03 07:51:40 - mmengine - INFO - Epoch(train) [88][1100/1879] lr: 2.0000e-02 eta: 1 day, 5:44:01 time: 0.9234 data_time: 0.0329 memory: 11089 grad_norm: 4.2592 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8259 loss: 1.8259 2022/08/03 07:51:58 - mmengine - INFO - Epoch(train) [88][1120/1879] lr: 2.0000e-02 eta: 1 day, 5:43:42 time: 0.9118 data_time: 0.0248 memory: 11089 grad_norm: 4.2434 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8833 loss: 1.8833 2022/08/03 07:52:17 - mmengine - INFO - Epoch(train) [88][1140/1879] lr: 2.0000e-02 eta: 1 day, 5:43:24 time: 0.9161 data_time: 0.0311 memory: 11089 grad_norm: 4.3075 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9252 loss: 1.9252 2022/08/03 07:52:35 - mmengine - INFO - Epoch(train) [88][1160/1879] lr: 2.0000e-02 eta: 1 day, 5:43:06 time: 0.9233 data_time: 0.0237 memory: 11089 grad_norm: 4.2991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6875 loss: 1.6875 2022/08/03 07:52:53 - mmengine - INFO - Epoch(train) [88][1180/1879] lr: 2.0000e-02 eta: 1 day, 5:42:48 time: 0.9011 data_time: 0.0192 memory: 11089 grad_norm: 4.2540 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.0884 loss: 2.0884 2022/08/03 07:53:11 - mmengine - INFO - Epoch(train) [88][1200/1879] lr: 2.0000e-02 eta: 1 day, 5:42:29 time: 0.9082 data_time: 0.0262 memory: 11089 grad_norm: 4.2350 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9274 loss: 1.9274 2022/08/03 07:53:30 - mmengine - INFO - Epoch(train) [88][1220/1879] lr: 2.0000e-02 eta: 1 day, 5:42:11 time: 0.9307 data_time: 0.0282 memory: 11089 grad_norm: 4.2476 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9730 loss: 1.9730 2022/08/03 07:53:48 - mmengine - INFO - Epoch(train) [88][1240/1879] lr: 2.0000e-02 eta: 1 day, 5:41:53 time: 0.9113 data_time: 0.0197 memory: 11089 grad_norm: 4.2546 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9865 loss: 1.9865 2022/08/03 07:54:06 - mmengine - INFO - Epoch(train) [88][1260/1879] lr: 2.0000e-02 eta: 1 day, 5:41:35 time: 0.9176 data_time: 0.0296 memory: 11089 grad_norm: 4.2430 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9178 loss: 1.9178 2022/08/03 07:54:24 - mmengine - INFO - Epoch(train) [88][1280/1879] lr: 2.0000e-02 eta: 1 day, 5:41:16 time: 0.8967 data_time: 0.0225 memory: 11089 grad_norm: 4.2632 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9383 loss: 1.9383 2022/08/03 07:54:43 - mmengine - INFO - Epoch(train) [88][1300/1879] lr: 2.0000e-02 eta: 1 day, 5:40:58 time: 0.9246 data_time: 0.0256 memory: 11089 grad_norm: 4.1434 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8469 loss: 1.8469 2022/08/03 07:55:01 - mmengine - INFO - Epoch(train) [88][1320/1879] lr: 2.0000e-02 eta: 1 day, 5:40:40 time: 0.9125 data_time: 0.0267 memory: 11089 grad_norm: 4.1320 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8565 loss: 1.8565 2022/08/03 07:55:19 - mmengine - INFO - Epoch(train) [88][1340/1879] lr: 2.0000e-02 eta: 1 day, 5:40:22 time: 0.9189 data_time: 0.0298 memory: 11089 grad_norm: 4.1495 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1698 loss: 2.1698 2022/08/03 07:55:38 - mmengine - INFO - Epoch(train) [88][1360/1879] lr: 2.0000e-02 eta: 1 day, 5:40:04 time: 0.9225 data_time: 0.0225 memory: 11089 grad_norm: 4.1835 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9690 loss: 1.9690 2022/08/03 07:55:56 - mmengine - INFO - Epoch(train) [88][1380/1879] lr: 2.0000e-02 eta: 1 day, 5:39:45 time: 0.9115 data_time: 0.0296 memory: 11089 grad_norm: 4.2233 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0708 loss: 2.0708 2022/08/03 07:56:14 - mmengine - INFO - Epoch(train) [88][1400/1879] lr: 2.0000e-02 eta: 1 day, 5:39:27 time: 0.9092 data_time: 0.0248 memory: 11089 grad_norm: 4.2414 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0549 loss: 2.0549 2022/08/03 07:56:32 - mmengine - INFO - Epoch(train) [88][1420/1879] lr: 2.0000e-02 eta: 1 day, 5:39:09 time: 0.8908 data_time: 0.0229 memory: 11089 grad_norm: 4.1622 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9146 loss: 1.9146 2022/08/03 07:56:50 - mmengine - INFO - Epoch(train) [88][1440/1879] lr: 2.0000e-02 eta: 1 day, 5:38:50 time: 0.8885 data_time: 0.0235 memory: 11089 grad_norm: 4.1466 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8263 loss: 1.8263 2022/08/03 07:57:08 - mmengine - INFO - Epoch(train) [88][1460/1879] lr: 2.0000e-02 eta: 1 day, 5:38:31 time: 0.8918 data_time: 0.0250 memory: 11089 grad_norm: 4.1636 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1156 loss: 2.1156 2022/08/03 07:57:26 - mmengine - INFO - Epoch(train) [88][1480/1879] lr: 2.0000e-02 eta: 1 day, 5:38:13 time: 0.9168 data_time: 0.0234 memory: 11089 grad_norm: 4.3388 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1435 loss: 2.1435 2022/08/03 07:57:44 - mmengine - INFO - Epoch(train) [88][1500/1879] lr: 2.0000e-02 eta: 1 day, 5:37:55 time: 0.9097 data_time: 0.0239 memory: 11089 grad_norm: 4.1435 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9286 loss: 1.9286 2022/08/03 07:58:03 - mmengine - INFO - Epoch(train) [88][1520/1879] lr: 2.0000e-02 eta: 1 day, 5:37:37 time: 0.9113 data_time: 0.0272 memory: 11089 grad_norm: 4.2073 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0215 loss: 2.0215 2022/08/03 07:58:09 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 07:58:21 - mmengine - INFO - Epoch(train) [88][1540/1879] lr: 2.0000e-02 eta: 1 day, 5:37:18 time: 0.9128 data_time: 0.0266 memory: 11089 grad_norm: 4.2677 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0415 loss: 2.0415 2022/08/03 07:58:39 - mmengine - INFO - Epoch(train) [88][1560/1879] lr: 2.0000e-02 eta: 1 day, 5:37:00 time: 0.9184 data_time: 0.0338 memory: 11089 grad_norm: 4.0568 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9582 loss: 1.9582 2022/08/03 07:58:58 - mmengine - INFO - Epoch(train) [88][1580/1879] lr: 2.0000e-02 eta: 1 day, 5:36:42 time: 0.9247 data_time: 0.0261 memory: 11089 grad_norm: 4.1652 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9203 loss: 1.9203 2022/08/03 07:59:16 - mmengine - INFO - Epoch(train) [88][1600/1879] lr: 2.0000e-02 eta: 1 day, 5:36:24 time: 0.8991 data_time: 0.0260 memory: 11089 grad_norm: 4.1499 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0515 loss: 2.0515 2022/08/03 07:59:34 - mmengine - INFO - Epoch(train) [88][1620/1879] lr: 2.0000e-02 eta: 1 day, 5:36:06 time: 0.9251 data_time: 0.0345 memory: 11089 grad_norm: 4.2025 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8411 loss: 1.8411 2022/08/03 07:59:53 - mmengine - INFO - Epoch(train) [88][1640/1879] lr: 2.0000e-02 eta: 1 day, 5:35:47 time: 0.9125 data_time: 0.0257 memory: 11089 grad_norm: 4.2066 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0119 loss: 2.0119 2022/08/03 08:00:11 - mmengine - INFO - Epoch(train) [88][1660/1879] lr: 2.0000e-02 eta: 1 day, 5:35:29 time: 0.9178 data_time: 0.0281 memory: 11089 grad_norm: 4.4811 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8314 loss: 1.8314 2022/08/03 08:00:29 - mmengine - INFO - Epoch(train) [88][1680/1879] lr: 2.0000e-02 eta: 1 day, 5:35:11 time: 0.9183 data_time: 0.0240 memory: 11089 grad_norm: 4.3742 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.9671 loss: 1.9671 2022/08/03 08:00:47 - mmengine - INFO - Epoch(train) [88][1700/1879] lr: 2.0000e-02 eta: 1 day, 5:34:53 time: 0.9087 data_time: 0.0303 memory: 11089 grad_norm: 4.1906 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9391 loss: 1.9391 2022/08/03 08:01:06 - mmengine - INFO - Epoch(train) [88][1720/1879] lr: 2.0000e-02 eta: 1 day, 5:34:35 time: 0.9320 data_time: 0.0279 memory: 11089 grad_norm: 4.2433 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0536 loss: 2.0536 2022/08/03 08:01:24 - mmengine - INFO - Epoch(train) [88][1740/1879] lr: 2.0000e-02 eta: 1 day, 5:34:17 time: 0.9185 data_time: 0.0306 memory: 11089 grad_norm: 4.2902 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0065 loss: 2.0065 2022/08/03 08:01:43 - mmengine - INFO - Epoch(train) [88][1760/1879] lr: 2.0000e-02 eta: 1 day, 5:33:58 time: 0.9112 data_time: 0.0204 memory: 11089 grad_norm: 4.2032 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9822 loss: 1.9822 2022/08/03 08:02:01 - mmengine - INFO - Epoch(train) [88][1780/1879] lr: 2.0000e-02 eta: 1 day, 5:33:40 time: 0.9116 data_time: 0.0317 memory: 11089 grad_norm: 4.0845 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7547 loss: 1.7547 2022/08/03 08:02:19 - mmengine - INFO - Epoch(train) [88][1800/1879] lr: 2.0000e-02 eta: 1 day, 5:33:22 time: 0.9082 data_time: 0.0243 memory: 11089 grad_norm: 4.2506 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.0950 loss: 2.0950 2022/08/03 08:02:37 - mmengine - INFO - Epoch(train) [88][1820/1879] lr: 2.0000e-02 eta: 1 day, 5:33:03 time: 0.9072 data_time: 0.0296 memory: 11089 grad_norm: 4.1946 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0383 loss: 2.0383 2022/08/03 08:02:56 - mmengine - INFO - Epoch(train) [88][1840/1879] lr: 2.0000e-02 eta: 1 day, 5:32:45 time: 0.9153 data_time: 0.0285 memory: 11089 grad_norm: 4.1054 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8606 loss: 1.8606 2022/08/03 08:03:14 - mmengine - INFO - Epoch(train) [88][1860/1879] lr: 2.0000e-02 eta: 1 day, 5:32:27 time: 0.9263 data_time: 0.0299 memory: 11089 grad_norm: 4.1733 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9103 loss: 1.9103 2022/08/03 08:03:31 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 08:03:31 - mmengine - INFO - Epoch(train) [88][1879/1879] lr: 2.0000e-02 eta: 1 day, 5:32:27 time: 0.9013 data_time: 0.0220 memory: 11089 grad_norm: 4.2359 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.9512 loss: 1.9512 2022/08/03 08:03:31 - mmengine - INFO - Saving checkpoint at 88 epochs 2022/08/03 08:03:55 - mmengine - INFO - Epoch(train) [89][20/1879] lr: 2.0000e-02 eta: 1 day, 5:31:41 time: 1.0021 data_time: 0.1196 memory: 11089 grad_norm: 4.1350 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9638 loss: 1.9638 2022/08/03 08:04:13 - mmengine - INFO - Epoch(train) [89][40/1879] lr: 2.0000e-02 eta: 1 day, 5:31:22 time: 0.9159 data_time: 0.0227 memory: 11089 grad_norm: 4.1174 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9061 loss: 1.9061 2022/08/03 08:04:31 - mmengine - INFO - Epoch(train) [89][60/1879] lr: 2.0000e-02 eta: 1 day, 5:31:04 time: 0.9120 data_time: 0.0224 memory: 11089 grad_norm: 4.1403 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6244 loss: 1.6244 2022/08/03 08:04:50 - mmengine - INFO - Epoch(train) [89][80/1879] lr: 2.0000e-02 eta: 1 day, 5:30:46 time: 0.9351 data_time: 0.0284 memory: 11089 grad_norm: 4.3088 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1570 loss: 2.1570 2022/08/03 08:05:08 - mmengine - INFO - Epoch(train) [89][100/1879] lr: 2.0000e-02 eta: 1 day, 5:30:28 time: 0.9111 data_time: 0.0298 memory: 11089 grad_norm: 4.1133 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9410 loss: 1.9410 2022/08/03 08:05:27 - mmengine - INFO - Epoch(train) [89][120/1879] lr: 2.0000e-02 eta: 1 day, 5:30:10 time: 0.9266 data_time: 0.0330 memory: 11089 grad_norm: 4.2113 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1010 loss: 2.1010 2022/08/03 08:05:45 - mmengine - INFO - Epoch(train) [89][140/1879] lr: 2.0000e-02 eta: 1 day, 5:29:52 time: 0.9159 data_time: 0.0313 memory: 11089 grad_norm: 4.2339 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9920 loss: 1.9920 2022/08/03 08:06:03 - mmengine - INFO - Epoch(train) [89][160/1879] lr: 2.0000e-02 eta: 1 day, 5:29:33 time: 0.9256 data_time: 0.0215 memory: 11089 grad_norm: 4.2630 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8210 loss: 1.8210 2022/08/03 08:06:22 - mmengine - INFO - Epoch(train) [89][180/1879] lr: 2.0000e-02 eta: 1 day, 5:29:15 time: 0.9121 data_time: 0.0264 memory: 11089 grad_norm: 4.1464 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0520 loss: 2.0520 2022/08/03 08:06:40 - mmengine - INFO - Epoch(train) [89][200/1879] lr: 2.0000e-02 eta: 1 day, 5:28:57 time: 0.9015 data_time: 0.0241 memory: 11089 grad_norm: 4.1592 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.0998 loss: 2.0998 2022/08/03 08:06:58 - mmengine - INFO - Epoch(train) [89][220/1879] lr: 2.0000e-02 eta: 1 day, 5:28:38 time: 0.9045 data_time: 0.0213 memory: 11089 grad_norm: 4.2242 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0379 loss: 2.0379 2022/08/03 08:07:16 - mmengine - INFO - Epoch(train) [89][240/1879] lr: 2.0000e-02 eta: 1 day, 5:28:20 time: 0.9165 data_time: 0.0232 memory: 11089 grad_norm: 4.2768 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9233 loss: 1.9233 2022/08/03 08:07:34 - mmengine - INFO - Epoch(train) [89][260/1879] lr: 2.0000e-02 eta: 1 day, 5:28:02 time: 0.9073 data_time: 0.0296 memory: 11089 grad_norm: 4.1904 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9748 loss: 1.9748 2022/08/03 08:07:53 - mmengine - INFO - Epoch(train) [89][280/1879] lr: 2.0000e-02 eta: 1 day, 5:27:44 time: 0.9145 data_time: 0.0267 memory: 11089 grad_norm: 4.1526 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7837 loss: 1.7837 2022/08/03 08:08:11 - mmengine - INFO - Epoch(train) [89][300/1879] lr: 2.0000e-02 eta: 1 day, 5:27:25 time: 0.8970 data_time: 0.0261 memory: 11089 grad_norm: 4.2753 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9061 loss: 1.9061 2022/08/03 08:08:29 - mmengine - INFO - Epoch(train) [89][320/1879] lr: 2.0000e-02 eta: 1 day, 5:27:07 time: 0.9036 data_time: 0.0224 memory: 11089 grad_norm: 4.3594 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1219 loss: 2.1219 2022/08/03 08:08:47 - mmengine - INFO - Epoch(train) [89][340/1879] lr: 2.0000e-02 eta: 1 day, 5:26:49 time: 0.9200 data_time: 0.0274 memory: 11089 grad_norm: 4.2306 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9432 loss: 1.9432 2022/08/03 08:09:05 - mmengine - INFO - Epoch(train) [89][360/1879] lr: 2.0000e-02 eta: 1 day, 5:26:30 time: 0.9010 data_time: 0.0271 memory: 11089 grad_norm: 4.2488 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1636 loss: 2.1636 2022/08/03 08:09:23 - mmengine - INFO - Epoch(train) [89][380/1879] lr: 2.0000e-02 eta: 1 day, 5:26:12 time: 0.9161 data_time: 0.0234 memory: 11089 grad_norm: 4.2288 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8481 loss: 1.8481 2022/08/03 08:09:42 - mmengine - INFO - Epoch(train) [89][400/1879] lr: 2.0000e-02 eta: 1 day, 5:25:54 time: 0.9212 data_time: 0.0275 memory: 11089 grad_norm: 4.1358 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9113 loss: 1.9113 2022/08/03 08:10:00 - mmengine - INFO - Epoch(train) [89][420/1879] lr: 2.0000e-02 eta: 1 day, 5:25:36 time: 0.9123 data_time: 0.0250 memory: 11089 grad_norm: 4.1853 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8595 loss: 1.8595 2022/08/03 08:10:18 - mmengine - INFO - Epoch(train) [89][440/1879] lr: 2.0000e-02 eta: 1 day, 5:25:17 time: 0.9046 data_time: 0.0204 memory: 11089 grad_norm: 4.3106 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9278 loss: 1.9278 2022/08/03 08:10:36 - mmengine - INFO - Epoch(train) [89][460/1879] lr: 2.0000e-02 eta: 1 day, 5:24:59 time: 0.9092 data_time: 0.0271 memory: 11089 grad_norm: 4.2450 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8731 loss: 1.8731 2022/08/03 08:10:55 - mmengine - INFO - Epoch(train) [89][480/1879] lr: 2.0000e-02 eta: 1 day, 5:24:41 time: 0.9161 data_time: 0.0260 memory: 11089 grad_norm: 4.3098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9693 loss: 1.9693 2022/08/03 08:11:13 - mmengine - INFO - Epoch(train) [89][500/1879] lr: 2.0000e-02 eta: 1 day, 5:24:23 time: 0.9099 data_time: 0.0276 memory: 11089 grad_norm: 4.1196 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8740 loss: 1.8740 2022/08/03 08:11:31 - mmengine - INFO - Epoch(train) [89][520/1879] lr: 2.0000e-02 eta: 1 day, 5:24:04 time: 0.9185 data_time: 0.0225 memory: 11089 grad_norm: 4.2979 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8784 loss: 1.8784 2022/08/03 08:11:49 - mmengine - INFO - Epoch(train) [89][540/1879] lr: 2.0000e-02 eta: 1 day, 5:23:46 time: 0.9048 data_time: 0.0232 memory: 11089 grad_norm: 4.1725 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9536 loss: 1.9536 2022/08/03 08:12:07 - mmengine - INFO - Epoch(train) [89][560/1879] lr: 2.0000e-02 eta: 1 day, 5:23:28 time: 0.8979 data_time: 0.0259 memory: 11089 grad_norm: 4.2072 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7880 loss: 1.7880 2022/08/03 08:12:26 - mmengine - INFO - Epoch(train) [89][580/1879] lr: 2.0000e-02 eta: 1 day, 5:23:09 time: 0.9185 data_time: 0.0256 memory: 11089 grad_norm: 4.2783 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7747 loss: 1.7747 2022/08/03 08:12:44 - mmengine - INFO - Epoch(train) [89][600/1879] lr: 2.0000e-02 eta: 1 day, 5:22:51 time: 0.9057 data_time: 0.0245 memory: 11089 grad_norm: 4.3340 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9929 loss: 1.9929 2022/08/03 08:13:02 - mmengine - INFO - Epoch(train) [89][620/1879] lr: 2.0000e-02 eta: 1 day, 5:22:33 time: 0.9057 data_time: 0.0252 memory: 11089 grad_norm: 4.3053 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0416 loss: 2.0416 2022/08/03 08:13:20 - mmengine - INFO - Epoch(train) [89][640/1879] lr: 2.0000e-02 eta: 1 day, 5:22:14 time: 0.9152 data_time: 0.0301 memory: 11089 grad_norm: 4.1764 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8711 loss: 1.8711 2022/08/03 08:13:28 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 08:13:39 - mmengine - INFO - Epoch(train) [89][660/1879] lr: 2.0000e-02 eta: 1 day, 5:21:56 time: 0.9219 data_time: 0.0326 memory: 11089 grad_norm: 4.1689 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7385 loss: 1.7385 2022/08/03 08:13:57 - mmengine - INFO - Epoch(train) [89][680/1879] lr: 2.0000e-02 eta: 1 day, 5:21:38 time: 0.9057 data_time: 0.0260 memory: 11089 grad_norm: 4.2009 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7763 loss: 1.7763 2022/08/03 08:14:15 - mmengine - INFO - Epoch(train) [89][700/1879] lr: 2.0000e-02 eta: 1 day, 5:21:20 time: 0.8996 data_time: 0.0270 memory: 11089 grad_norm: 4.2461 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9156 loss: 1.9156 2022/08/03 08:14:33 - mmengine - INFO - Epoch(train) [89][720/1879] lr: 2.0000e-02 eta: 1 day, 5:21:01 time: 0.9139 data_time: 0.0209 memory: 11089 grad_norm: 4.2599 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9319 loss: 1.9319 2022/08/03 08:14:51 - mmengine - INFO - Epoch(train) [89][740/1879] lr: 2.0000e-02 eta: 1 day, 5:20:43 time: 0.9061 data_time: 0.0240 memory: 11089 grad_norm: 4.3074 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0006 loss: 2.0006 2022/08/03 08:15:09 - mmengine - INFO - Epoch(train) [89][760/1879] lr: 2.0000e-02 eta: 1 day, 5:20:25 time: 0.9089 data_time: 0.0318 memory: 11089 grad_norm: 4.2166 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0522 loss: 2.0522 2022/08/03 08:15:28 - mmengine - INFO - Epoch(train) [89][780/1879] lr: 2.0000e-02 eta: 1 day, 5:20:06 time: 0.9140 data_time: 0.0226 memory: 11089 grad_norm: 4.2854 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0348 loss: 2.0348 2022/08/03 08:15:46 - mmengine - INFO - Epoch(train) [89][800/1879] lr: 2.0000e-02 eta: 1 day, 5:19:48 time: 0.9110 data_time: 0.0233 memory: 11089 grad_norm: 4.1954 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7959 loss: 1.7959 2022/08/03 08:16:05 - mmengine - INFO - Epoch(train) [89][820/1879] lr: 2.0000e-02 eta: 1 day, 5:19:30 time: 0.9275 data_time: 0.0226 memory: 11089 grad_norm: 4.2150 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8897 loss: 1.8897 2022/08/03 08:16:23 - mmengine - INFO - Epoch(train) [89][840/1879] lr: 2.0000e-02 eta: 1 day, 5:19:12 time: 0.9263 data_time: 0.0328 memory: 11089 grad_norm: 4.1704 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7905 loss: 1.7905 2022/08/03 08:16:41 - mmengine - INFO - Epoch(train) [89][860/1879] lr: 2.0000e-02 eta: 1 day, 5:18:54 time: 0.9183 data_time: 0.0269 memory: 11089 grad_norm: 4.2094 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1002 loss: 2.1002 2022/08/03 08:16:59 - mmengine - INFO - Epoch(train) [89][880/1879] lr: 2.0000e-02 eta: 1 day, 5:18:36 time: 0.9055 data_time: 0.0213 memory: 11089 grad_norm: 4.3580 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9701 loss: 1.9701 2022/08/03 08:17:18 - mmengine - INFO - Epoch(train) [89][900/1879] lr: 2.0000e-02 eta: 1 day, 5:18:17 time: 0.9159 data_time: 0.0223 memory: 11089 grad_norm: 4.2260 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8354 loss: 1.8354 2022/08/03 08:17:36 - mmengine - INFO - Epoch(train) [89][920/1879] lr: 2.0000e-02 eta: 1 day, 5:17:59 time: 0.9141 data_time: 0.0258 memory: 11089 grad_norm: 4.2082 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7066 loss: 1.7066 2022/08/03 08:17:54 - mmengine - INFO - Epoch(train) [89][940/1879] lr: 2.0000e-02 eta: 1 day, 5:17:41 time: 0.9070 data_time: 0.0287 memory: 11089 grad_norm: 4.1599 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0458 loss: 2.0458 2022/08/03 08:18:13 - mmengine - INFO - Epoch(train) [89][960/1879] lr: 2.0000e-02 eta: 1 day, 5:17:23 time: 0.9376 data_time: 0.0293 memory: 11089 grad_norm: 4.1882 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8518 loss: 1.8518 2022/08/03 08:18:31 - mmengine - INFO - Epoch(train) [89][980/1879] lr: 2.0000e-02 eta: 1 day, 5:17:04 time: 0.8958 data_time: 0.0209 memory: 11089 grad_norm: 4.2243 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0734 loss: 2.0734 2022/08/03 08:18:49 - mmengine - INFO - Epoch(train) [89][1000/1879] lr: 2.0000e-02 eta: 1 day, 5:16:46 time: 0.9173 data_time: 0.0271 memory: 11089 grad_norm: 4.2145 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0262 loss: 2.0262 2022/08/03 08:19:08 - mmengine - INFO - Epoch(train) [89][1020/1879] lr: 2.0000e-02 eta: 1 day, 5:16:28 time: 0.9277 data_time: 0.0258 memory: 11089 grad_norm: 4.1164 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8233 loss: 1.8233 2022/08/03 08:19:26 - mmengine - INFO - Epoch(train) [89][1040/1879] lr: 2.0000e-02 eta: 1 day, 5:16:10 time: 0.9213 data_time: 0.0301 memory: 11089 grad_norm: 4.1355 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1570 loss: 2.1570 2022/08/03 08:19:45 - mmengine - INFO - Epoch(train) [89][1060/1879] lr: 2.0000e-02 eta: 1 day, 5:15:52 time: 0.9201 data_time: 0.0248 memory: 11089 grad_norm: 4.2582 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1530 loss: 2.1530 2022/08/03 08:20:03 - mmengine - INFO - Epoch(train) [89][1080/1879] lr: 2.0000e-02 eta: 1 day, 5:15:33 time: 0.8965 data_time: 0.0231 memory: 11089 grad_norm: 4.3079 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8577 loss: 1.8577 2022/08/03 08:20:21 - mmengine - INFO - Epoch(train) [89][1100/1879] lr: 2.0000e-02 eta: 1 day, 5:15:15 time: 0.9116 data_time: 0.0250 memory: 11089 grad_norm: 4.2358 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8933 loss: 1.8933 2022/08/03 08:20:39 - mmengine - INFO - Epoch(train) [89][1120/1879] lr: 2.0000e-02 eta: 1 day, 5:14:57 time: 0.9113 data_time: 0.0252 memory: 11089 grad_norm: 4.2205 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8797 loss: 1.8797 2022/08/03 08:20:58 - mmengine - INFO - Epoch(train) [89][1140/1879] lr: 2.0000e-02 eta: 1 day, 5:14:39 time: 0.9329 data_time: 0.0319 memory: 11089 grad_norm: 4.2937 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0961 loss: 2.0961 2022/08/03 08:21:16 - mmengine - INFO - Epoch(train) [89][1160/1879] lr: 2.0000e-02 eta: 1 day, 5:14:20 time: 0.9037 data_time: 0.0251 memory: 11089 grad_norm: 4.3542 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9964 loss: 1.9964 2022/08/03 08:21:34 - mmengine - INFO - Epoch(train) [89][1180/1879] lr: 2.0000e-02 eta: 1 day, 5:14:02 time: 0.8926 data_time: 0.0229 memory: 11089 grad_norm: 4.3167 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0818 loss: 2.0818 2022/08/03 08:21:52 - mmengine - INFO - Epoch(train) [89][1200/1879] lr: 2.0000e-02 eta: 1 day, 5:13:44 time: 0.9182 data_time: 0.0300 memory: 11089 grad_norm: 4.3034 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1158 loss: 2.1158 2022/08/03 08:22:10 - mmengine - INFO - Epoch(train) [89][1220/1879] lr: 2.0000e-02 eta: 1 day, 5:13:25 time: 0.9090 data_time: 0.0313 memory: 11089 grad_norm: 4.2125 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0036 loss: 2.0036 2022/08/03 08:22:28 - mmengine - INFO - Epoch(train) [89][1240/1879] lr: 2.0000e-02 eta: 1 day, 5:13:07 time: 0.9085 data_time: 0.0207 memory: 11089 grad_norm: 4.3205 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8050 loss: 1.8050 2022/08/03 08:22:46 - mmengine - INFO - Epoch(train) [89][1260/1879] lr: 2.0000e-02 eta: 1 day, 5:12:49 time: 0.8987 data_time: 0.0228 memory: 11089 grad_norm: 4.1905 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8818 loss: 1.8818 2022/08/03 08:23:05 - mmengine - INFO - Epoch(train) [89][1280/1879] lr: 2.0000e-02 eta: 1 day, 5:12:31 time: 0.9235 data_time: 0.0272 memory: 11089 grad_norm: 4.2926 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9157 loss: 1.9157 2022/08/03 08:23:23 - mmengine - INFO - Epoch(train) [89][1300/1879] lr: 2.0000e-02 eta: 1 day, 5:12:13 time: 0.9218 data_time: 0.0267 memory: 11089 grad_norm: 4.2861 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9966 loss: 1.9966 2022/08/03 08:23:41 - mmengine - INFO - Epoch(train) [89][1320/1879] lr: 2.0000e-02 eta: 1 day, 5:11:54 time: 0.9096 data_time: 0.0282 memory: 11089 grad_norm: 4.3281 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9440 loss: 1.9440 2022/08/03 08:24:00 - mmengine - INFO - Epoch(train) [89][1340/1879] lr: 2.0000e-02 eta: 1 day, 5:11:36 time: 0.9030 data_time: 0.0311 memory: 11089 grad_norm: 4.2613 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8546 loss: 1.8546 2022/08/03 08:24:18 - mmengine - INFO - Epoch(train) [89][1360/1879] lr: 2.0000e-02 eta: 1 day, 5:11:17 time: 0.9057 data_time: 0.0202 memory: 11089 grad_norm: 4.2387 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0006 loss: 2.0006 2022/08/03 08:24:36 - mmengine - INFO - Epoch(train) [89][1380/1879] lr: 2.0000e-02 eta: 1 day, 5:11:00 time: 0.9413 data_time: 0.0309 memory: 11089 grad_norm: 4.2537 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0323 loss: 2.0323 2022/08/03 08:24:55 - mmengine - INFO - Epoch(train) [89][1400/1879] lr: 2.0000e-02 eta: 1 day, 5:10:41 time: 0.9197 data_time: 0.0317 memory: 11089 grad_norm: 4.2857 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0324 loss: 2.0324 2022/08/03 08:25:14 - mmengine - INFO - Epoch(train) [89][1420/1879] lr: 2.0000e-02 eta: 1 day, 5:10:24 time: 0.9408 data_time: 0.0273 memory: 11089 grad_norm: 4.2186 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8876 loss: 1.8876 2022/08/03 08:25:32 - mmengine - INFO - Epoch(train) [89][1440/1879] lr: 2.0000e-02 eta: 1 day, 5:10:06 time: 0.9261 data_time: 0.0341 memory: 11089 grad_norm: 4.1463 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9332 loss: 1.9332 2022/08/03 08:25:50 - mmengine - INFO - Epoch(train) [89][1460/1879] lr: 2.0000e-02 eta: 1 day, 5:09:47 time: 0.9080 data_time: 0.0256 memory: 11089 grad_norm: 4.2672 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0639 loss: 2.0639 2022/08/03 08:26:08 - mmengine - INFO - Epoch(train) [89][1480/1879] lr: 2.0000e-02 eta: 1 day, 5:09:29 time: 0.9020 data_time: 0.0232 memory: 11089 grad_norm: 4.3063 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8946 loss: 1.8946 2022/08/03 08:26:27 - mmengine - INFO - Epoch(train) [89][1500/1879] lr: 2.0000e-02 eta: 1 day, 5:09:11 time: 0.9193 data_time: 0.0310 memory: 11089 grad_norm: 4.1995 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9903 loss: 1.9903 2022/08/03 08:26:45 - mmengine - INFO - Epoch(train) [89][1520/1879] lr: 2.0000e-02 eta: 1 day, 5:08:52 time: 0.9071 data_time: 0.0250 memory: 11089 grad_norm: 4.2766 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1484 loss: 2.1484 2022/08/03 08:27:03 - mmengine - INFO - Epoch(train) [89][1540/1879] lr: 2.0000e-02 eta: 1 day, 5:08:34 time: 0.9125 data_time: 0.0208 memory: 11089 grad_norm: 4.2976 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9472 loss: 1.9472 2022/08/03 08:27:21 - mmengine - INFO - Epoch(train) [89][1560/1879] lr: 2.0000e-02 eta: 1 day, 5:08:16 time: 0.8914 data_time: 0.0225 memory: 11089 grad_norm: 4.1943 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9892 loss: 1.9892 2022/08/03 08:27:39 - mmengine - INFO - Epoch(train) [89][1580/1879] lr: 2.0000e-02 eta: 1 day, 5:07:57 time: 0.8965 data_time: 0.0272 memory: 11089 grad_norm: 4.3110 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9268 loss: 1.9268 2022/08/03 08:27:57 - mmengine - INFO - Epoch(train) [89][1600/1879] lr: 2.0000e-02 eta: 1 day, 5:07:39 time: 0.9009 data_time: 0.0264 memory: 11089 grad_norm: 4.1564 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7811 loss: 1.7811 2022/08/03 08:28:15 - mmengine - INFO - Epoch(train) [89][1620/1879] lr: 2.0000e-02 eta: 1 day, 5:07:20 time: 0.9022 data_time: 0.0213 memory: 11089 grad_norm: 4.2054 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9758 loss: 1.9758 2022/08/03 08:28:33 - mmengine - INFO - Epoch(train) [89][1640/1879] lr: 2.0000e-02 eta: 1 day, 5:07:02 time: 0.9176 data_time: 0.0254 memory: 11089 grad_norm: 4.2493 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0926 loss: 2.0926 2022/08/03 08:28:41 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 08:28:52 - mmengine - INFO - Epoch(train) [89][1660/1879] lr: 2.0000e-02 eta: 1 day, 5:06:44 time: 0.9065 data_time: 0.0234 memory: 11089 grad_norm: 4.3097 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0926 loss: 2.0926 2022/08/03 08:29:10 - mmengine - INFO - Epoch(train) [89][1680/1879] lr: 2.0000e-02 eta: 1 day, 5:06:25 time: 0.8994 data_time: 0.0274 memory: 11089 grad_norm: 4.1811 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8934 loss: 1.8934 2022/08/03 08:29:28 - mmengine - INFO - Epoch(train) [89][1700/1879] lr: 2.0000e-02 eta: 1 day, 5:06:07 time: 0.9117 data_time: 0.0219 memory: 11089 grad_norm: 4.2098 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7686 loss: 1.7686 2022/08/03 08:29:46 - mmengine - INFO - Epoch(train) [89][1720/1879] lr: 2.0000e-02 eta: 1 day, 5:05:49 time: 0.9172 data_time: 0.0254 memory: 11089 grad_norm: 4.2396 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7704 loss: 1.7704 2022/08/03 08:30:05 - mmengine - INFO - Epoch(train) [89][1740/1879] lr: 2.0000e-02 eta: 1 day, 5:05:31 time: 0.9228 data_time: 0.0334 memory: 11089 grad_norm: 4.1697 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6526 loss: 1.6526 2022/08/03 08:30:23 - mmengine - INFO - Epoch(train) [89][1760/1879] lr: 2.0000e-02 eta: 1 day, 5:05:13 time: 0.9211 data_time: 0.0250 memory: 11089 grad_norm: 4.2270 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9343 loss: 1.9343 2022/08/03 08:30:42 - mmengine - INFO - Epoch(train) [89][1780/1879] lr: 2.0000e-02 eta: 1 day, 5:04:54 time: 0.9248 data_time: 0.0335 memory: 11089 grad_norm: 4.3243 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8411 loss: 1.8411 2022/08/03 08:31:00 - mmengine - INFO - Epoch(train) [89][1800/1879] lr: 2.0000e-02 eta: 1 day, 5:04:36 time: 0.9186 data_time: 0.0229 memory: 11089 grad_norm: 4.1992 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9922 loss: 1.9922 2022/08/03 08:31:18 - mmengine - INFO - Epoch(train) [89][1820/1879] lr: 2.0000e-02 eta: 1 day, 5:04:18 time: 0.9203 data_time: 0.0320 memory: 11089 grad_norm: 4.1614 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8247 loss: 1.8247 2022/08/03 08:31:37 - mmengine - INFO - Epoch(train) [89][1840/1879] lr: 2.0000e-02 eta: 1 day, 5:04:00 time: 0.9333 data_time: 0.0369 memory: 11089 grad_norm: 4.2284 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9452 loss: 1.9452 2022/08/03 08:31:55 - mmengine - INFO - Epoch(train) [89][1860/1879] lr: 2.0000e-02 eta: 1 day, 5:03:42 time: 0.9202 data_time: 0.0315 memory: 11089 grad_norm: 4.2391 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9234 loss: 1.9234 2022/08/03 08:32:13 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 08:32:13 - mmengine - INFO - Epoch(train) [89][1879/1879] lr: 2.0000e-02 eta: 1 day, 5:03:42 time: 0.9179 data_time: 0.0337 memory: 11089 grad_norm: 4.3344 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.1225 loss: 2.1225 2022/08/03 08:32:33 - mmengine - INFO - Epoch(train) [90][20/1879] lr: 2.0000e-02 eta: 1 day, 5:02:56 time: 0.9871 data_time: 0.1063 memory: 11089 grad_norm: 4.2342 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7945 loss: 1.7945 2022/08/03 08:32:51 - mmengine - INFO - Epoch(train) [90][40/1879] lr: 2.0000e-02 eta: 1 day, 5:02:37 time: 0.8932 data_time: 0.0230 memory: 11089 grad_norm: 4.2141 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9507 loss: 1.9507 2022/08/03 08:33:09 - mmengine - INFO - Epoch(train) [90][60/1879] lr: 2.0000e-02 eta: 1 day, 5:02:19 time: 0.9068 data_time: 0.0245 memory: 11089 grad_norm: 4.2197 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0251 loss: 2.0251 2022/08/03 08:33:27 - mmengine - INFO - Epoch(train) [90][80/1879] lr: 2.0000e-02 eta: 1 day, 5:02:01 time: 0.9277 data_time: 0.0322 memory: 11089 grad_norm: 4.1739 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7500 loss: 1.7500 2022/08/03 08:33:46 - mmengine - INFO - Epoch(train) [90][100/1879] lr: 2.0000e-02 eta: 1 day, 5:01:43 time: 0.9196 data_time: 0.0317 memory: 11089 grad_norm: 4.2079 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8890 loss: 1.8890 2022/08/03 08:34:04 - mmengine - INFO - Epoch(train) [90][120/1879] lr: 2.0000e-02 eta: 1 day, 5:01:25 time: 0.9287 data_time: 0.0312 memory: 11089 grad_norm: 4.2902 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9499 loss: 1.9499 2022/08/03 08:34:22 - mmengine - INFO - Epoch(train) [90][140/1879] lr: 2.0000e-02 eta: 1 day, 5:01:06 time: 0.9019 data_time: 0.0256 memory: 11089 grad_norm: 4.2323 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6778 loss: 1.6778 2022/08/03 08:34:41 - mmengine - INFO - Epoch(train) [90][160/1879] lr: 2.0000e-02 eta: 1 day, 5:00:48 time: 0.9306 data_time: 0.0267 memory: 11089 grad_norm: 4.2748 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9399 loss: 1.9399 2022/08/03 08:34:59 - mmengine - INFO - Epoch(train) [90][180/1879] lr: 2.0000e-02 eta: 1 day, 5:00:30 time: 0.9090 data_time: 0.0218 memory: 11089 grad_norm: 4.1873 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7805 loss: 1.7805 2022/08/03 08:35:18 - mmengine - INFO - Epoch(train) [90][200/1879] lr: 2.0000e-02 eta: 1 day, 5:00:12 time: 0.9224 data_time: 0.0260 memory: 11089 grad_norm: 4.2407 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8991 loss: 1.8991 2022/08/03 08:35:36 - mmengine - INFO - Epoch(train) [90][220/1879] lr: 2.0000e-02 eta: 1 day, 4:59:54 time: 0.9206 data_time: 0.0252 memory: 11089 grad_norm: 4.1422 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7590 loss: 1.7590 2022/08/03 08:35:54 - mmengine - INFO - Epoch(train) [90][240/1879] lr: 2.0000e-02 eta: 1 day, 4:59:35 time: 0.9042 data_time: 0.0265 memory: 11089 grad_norm: 4.2779 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7400 loss: 1.7400 2022/08/03 08:36:12 - mmengine - INFO - Epoch(train) [90][260/1879] lr: 2.0000e-02 eta: 1 day, 4:59:17 time: 0.9088 data_time: 0.0257 memory: 11089 grad_norm: 4.2635 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6826 loss: 1.6826 2022/08/03 08:36:30 - mmengine - INFO - Epoch(train) [90][280/1879] lr: 2.0000e-02 eta: 1 day, 4:58:59 time: 0.9062 data_time: 0.0229 memory: 11089 grad_norm: 4.1782 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8749 loss: 1.8749 2022/08/03 08:36:49 - mmengine - INFO - Epoch(train) [90][300/1879] lr: 2.0000e-02 eta: 1 day, 4:58:40 time: 0.9122 data_time: 0.0262 memory: 11089 grad_norm: 4.2832 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8434 loss: 1.8434 2022/08/03 08:37:07 - mmengine - INFO - Epoch(train) [90][320/1879] lr: 2.0000e-02 eta: 1 day, 4:58:22 time: 0.9162 data_time: 0.0252 memory: 11089 grad_norm: 4.2867 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1406 loss: 2.1406 2022/08/03 08:37:25 - mmengine - INFO - Epoch(train) [90][340/1879] lr: 2.0000e-02 eta: 1 day, 4:58:04 time: 0.9139 data_time: 0.0250 memory: 11089 grad_norm: 4.1755 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8502 loss: 1.8502 2022/08/03 08:37:43 - mmengine - INFO - Epoch(train) [90][360/1879] lr: 2.0000e-02 eta: 1 day, 4:57:46 time: 0.9076 data_time: 0.0266 memory: 11089 grad_norm: 4.1800 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0367 loss: 2.0367 2022/08/03 08:38:02 - mmengine - INFO - Epoch(train) [90][380/1879] lr: 2.0000e-02 eta: 1 day, 4:57:27 time: 0.9170 data_time: 0.0265 memory: 11089 grad_norm: 4.2731 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7763 loss: 1.7763 2022/08/03 08:38:20 - mmengine - INFO - Epoch(train) [90][400/1879] lr: 2.0000e-02 eta: 1 day, 4:57:09 time: 0.9144 data_time: 0.0231 memory: 11089 grad_norm: 4.2769 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1026 loss: 2.1026 2022/08/03 08:38:38 - mmengine - INFO - Epoch(train) [90][420/1879] lr: 2.0000e-02 eta: 1 day, 4:56:51 time: 0.9184 data_time: 0.0409 memory: 11089 grad_norm: 4.2419 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8710 loss: 1.8710 2022/08/03 08:38:56 - mmengine - INFO - Epoch(train) [90][440/1879] lr: 2.0000e-02 eta: 1 day, 4:56:33 time: 0.9003 data_time: 0.0248 memory: 11089 grad_norm: 4.2449 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8142 loss: 1.8142 2022/08/03 08:39:15 - mmengine - INFO - Epoch(train) [90][460/1879] lr: 2.0000e-02 eta: 1 day, 4:56:15 time: 0.9285 data_time: 0.0281 memory: 11089 grad_norm: 4.3761 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8290 loss: 1.8290 2022/08/03 08:39:34 - mmengine - INFO - Epoch(train) [90][480/1879] lr: 2.0000e-02 eta: 1 day, 4:55:57 time: 0.9353 data_time: 0.0264 memory: 11089 grad_norm: 4.2248 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9559 loss: 1.9559 2022/08/03 08:39:52 - mmengine - INFO - Epoch(train) [90][500/1879] lr: 2.0000e-02 eta: 1 day, 4:55:38 time: 0.9047 data_time: 0.0251 memory: 11089 grad_norm: 4.2242 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8945 loss: 1.8945 2022/08/03 08:40:10 - mmengine - INFO - Epoch(train) [90][520/1879] lr: 2.0000e-02 eta: 1 day, 4:55:20 time: 0.9266 data_time: 0.0254 memory: 11089 grad_norm: 4.1967 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8091 loss: 1.8091 2022/08/03 08:40:29 - mmengine - INFO - Epoch(train) [90][540/1879] lr: 2.0000e-02 eta: 1 day, 4:55:02 time: 0.9107 data_time: 0.0272 memory: 11089 grad_norm: 4.2398 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9859 loss: 1.9859 2022/08/03 08:40:47 - mmengine - INFO - Epoch(train) [90][560/1879] lr: 2.0000e-02 eta: 1 day, 4:54:43 time: 0.8992 data_time: 0.0253 memory: 11089 grad_norm: 4.2135 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9874 loss: 1.9874 2022/08/03 08:41:05 - mmengine - INFO - Epoch(train) [90][580/1879] lr: 2.0000e-02 eta: 1 day, 4:54:25 time: 0.9317 data_time: 0.0290 memory: 11089 grad_norm: 4.1996 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7302 loss: 1.7302 2022/08/03 08:41:24 - mmengine - INFO - Epoch(train) [90][600/1879] lr: 2.0000e-02 eta: 1 day, 4:54:07 time: 0.9245 data_time: 0.0302 memory: 11089 grad_norm: 4.2156 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1932 loss: 2.1932 2022/08/03 08:41:42 - mmengine - INFO - Epoch(train) [90][620/1879] lr: 2.0000e-02 eta: 1 day, 4:53:49 time: 0.9015 data_time: 0.0218 memory: 11089 grad_norm: 4.2414 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0451 loss: 2.0451 2022/08/03 08:42:00 - mmengine - INFO - Epoch(train) [90][640/1879] lr: 2.0000e-02 eta: 1 day, 4:53:31 time: 0.9093 data_time: 0.0266 memory: 11089 grad_norm: 4.2425 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9866 loss: 1.9866 2022/08/03 08:42:18 - mmengine - INFO - Epoch(train) [90][660/1879] lr: 2.0000e-02 eta: 1 day, 4:53:13 time: 0.9216 data_time: 0.0359 memory: 11089 grad_norm: 4.1889 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8199 loss: 1.8199 2022/08/03 08:42:37 - mmengine - INFO - Epoch(train) [90][680/1879] lr: 2.0000e-02 eta: 1 day, 4:52:54 time: 0.9105 data_time: 0.0266 memory: 11089 grad_norm: 4.2312 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8078 loss: 1.8078 2022/08/03 08:42:55 - mmengine - INFO - Epoch(train) [90][700/1879] lr: 2.0000e-02 eta: 1 day, 4:52:36 time: 0.9321 data_time: 0.0290 memory: 11089 grad_norm: 4.3275 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9333 loss: 1.9333 2022/08/03 08:43:13 - mmengine - INFO - Epoch(train) [90][720/1879] lr: 2.0000e-02 eta: 1 day, 4:52:18 time: 0.9093 data_time: 0.0276 memory: 11089 grad_norm: 4.1744 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8104 loss: 1.8104 2022/08/03 08:43:31 - mmengine - INFO - Epoch(train) [90][740/1879] lr: 2.0000e-02 eta: 1 day, 4:52:00 time: 0.9058 data_time: 0.0201 memory: 11089 grad_norm: 4.2552 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9742 loss: 1.9742 2022/08/03 08:43:49 - mmengine - INFO - Epoch(train) [90][760/1879] lr: 2.0000e-02 eta: 1 day, 4:51:41 time: 0.9001 data_time: 0.0244 memory: 11089 grad_norm: 4.1983 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9258 loss: 1.9258 2022/08/03 08:43:58 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 08:44:08 - mmengine - INFO - Epoch(train) [90][780/1879] lr: 2.0000e-02 eta: 1 day, 4:51:23 time: 0.9106 data_time: 0.0306 memory: 11089 grad_norm: 4.2036 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8554 loss: 1.8554 2022/08/03 08:44:26 - mmengine - INFO - Epoch(train) [90][800/1879] lr: 2.0000e-02 eta: 1 day, 4:51:05 time: 0.9122 data_time: 0.0272 memory: 11089 grad_norm: 4.2689 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8458 loss: 1.8458 2022/08/03 08:44:44 - mmengine - INFO - Epoch(train) [90][820/1879] lr: 2.0000e-02 eta: 1 day, 4:50:46 time: 0.9154 data_time: 0.0249 memory: 11089 grad_norm: 4.2048 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0540 loss: 2.0540 2022/08/03 08:45:02 - mmengine - INFO - Epoch(train) [90][840/1879] lr: 2.0000e-02 eta: 1 day, 4:50:28 time: 0.9089 data_time: 0.0267 memory: 11089 grad_norm: 4.1432 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7834 loss: 1.7834 2022/08/03 08:45:21 - mmengine - INFO - Epoch(train) [90][860/1879] lr: 2.0000e-02 eta: 1 day, 4:50:10 time: 0.9298 data_time: 0.0266 memory: 11089 grad_norm: 4.2840 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9176 loss: 1.9176 2022/08/03 08:45:39 - mmengine - INFO - Epoch(train) [90][880/1879] lr: 2.0000e-02 eta: 1 day, 4:49:52 time: 0.9136 data_time: 0.0354 memory: 11089 grad_norm: 4.1767 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8654 loss: 1.8654 2022/08/03 08:45:58 - mmengine - INFO - Epoch(train) [90][900/1879] lr: 2.0000e-02 eta: 1 day, 4:49:34 time: 0.9297 data_time: 0.0329 memory: 11089 grad_norm: 4.2202 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8029 loss: 1.8029 2022/08/03 08:46:17 - mmengine - INFO - Epoch(train) [90][920/1879] lr: 2.0000e-02 eta: 1 day, 4:49:16 time: 0.9374 data_time: 0.0292 memory: 11089 grad_norm: 4.3412 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8212 loss: 1.8212 2022/08/03 08:46:35 - mmengine - INFO - Epoch(train) [90][940/1879] lr: 2.0000e-02 eta: 1 day, 4:48:58 time: 0.9265 data_time: 0.0250 memory: 11089 grad_norm: 4.2194 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7382 loss: 1.7382 2022/08/03 08:46:54 - mmengine - INFO - Epoch(train) [90][960/1879] lr: 2.0000e-02 eta: 1 day, 4:48:40 time: 0.9252 data_time: 0.0267 memory: 11089 grad_norm: 4.3062 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0464 loss: 2.0464 2022/08/03 08:47:12 - mmengine - INFO - Epoch(train) [90][980/1879] lr: 2.0000e-02 eta: 1 day, 4:48:21 time: 0.9013 data_time: 0.0238 memory: 11089 grad_norm: 4.4220 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0043 loss: 2.0043 2022/08/03 08:47:30 - mmengine - INFO - Epoch(train) [90][1000/1879] lr: 2.0000e-02 eta: 1 day, 4:48:03 time: 0.9223 data_time: 0.0264 memory: 11089 grad_norm: 4.2840 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8568 loss: 1.8568 2022/08/03 08:47:49 - mmengine - INFO - Epoch(train) [90][1020/1879] lr: 2.0000e-02 eta: 1 day, 4:47:45 time: 0.9207 data_time: 0.0343 memory: 11089 grad_norm: 4.2158 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0862 loss: 2.0862 2022/08/03 08:48:07 - mmengine - INFO - Epoch(train) [90][1040/1879] lr: 2.0000e-02 eta: 1 day, 4:47:27 time: 0.9205 data_time: 0.0274 memory: 11089 grad_norm: 4.1767 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8992 loss: 1.8992 2022/08/03 08:48:25 - mmengine - INFO - Epoch(train) [90][1060/1879] lr: 2.0000e-02 eta: 1 day, 4:47:09 time: 0.9138 data_time: 0.0256 memory: 11089 grad_norm: 4.2901 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8992 loss: 1.8992 2022/08/03 08:48:44 - mmengine - INFO - Epoch(train) [90][1080/1879] lr: 2.0000e-02 eta: 1 day, 4:46:51 time: 0.9269 data_time: 0.0275 memory: 11089 grad_norm: 4.2489 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2891 loss: 2.2891 2022/08/03 08:49:02 - mmengine - INFO - Epoch(train) [90][1100/1879] lr: 2.0000e-02 eta: 1 day, 4:46:33 time: 0.9118 data_time: 0.0304 memory: 11089 grad_norm: 4.3022 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9592 loss: 1.9592 2022/08/03 08:49:20 - mmengine - INFO - Epoch(train) [90][1120/1879] lr: 2.0000e-02 eta: 1 day, 4:46:14 time: 0.9047 data_time: 0.0272 memory: 11089 grad_norm: 4.1304 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0020 loss: 2.0020 2022/08/03 08:49:39 - mmengine - INFO - Epoch(train) [90][1140/1879] lr: 2.0000e-02 eta: 1 day, 4:45:56 time: 0.9200 data_time: 0.0214 memory: 11089 grad_norm: 4.1919 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9656 loss: 1.9656 2022/08/03 08:49:57 - mmengine - INFO - Epoch(train) [90][1160/1879] lr: 2.0000e-02 eta: 1 day, 4:45:38 time: 0.9169 data_time: 0.0221 memory: 11089 grad_norm: 4.2922 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8605 loss: 1.8605 2022/08/03 08:50:15 - mmengine - INFO - Epoch(train) [90][1180/1879] lr: 2.0000e-02 eta: 1 day, 4:45:19 time: 0.8936 data_time: 0.0246 memory: 11089 grad_norm: 4.2113 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8140 loss: 1.8140 2022/08/03 08:50:33 - mmengine - INFO - Epoch(train) [90][1200/1879] lr: 2.0000e-02 eta: 1 day, 4:45:01 time: 0.9001 data_time: 0.0226 memory: 11089 grad_norm: 4.1688 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9166 loss: 1.9166 2022/08/03 08:50:51 - mmengine - INFO - Epoch(train) [90][1220/1879] lr: 2.0000e-02 eta: 1 day, 4:44:43 time: 0.9204 data_time: 0.0259 memory: 11089 grad_norm: 4.1734 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9386 loss: 1.9386 2022/08/03 08:51:09 - mmengine - INFO - Epoch(train) [90][1240/1879] lr: 2.0000e-02 eta: 1 day, 4:44:24 time: 0.9094 data_time: 0.0301 memory: 11089 grad_norm: 4.2465 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0463 loss: 2.0463 2022/08/03 08:51:28 - mmengine - INFO - Epoch(train) [90][1260/1879] lr: 2.0000e-02 eta: 1 day, 4:44:06 time: 0.9156 data_time: 0.0265 memory: 11089 grad_norm: 4.2911 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9555 loss: 1.9555 2022/08/03 08:51:46 - mmengine - INFO - Epoch(train) [90][1280/1879] lr: 2.0000e-02 eta: 1 day, 4:43:48 time: 0.9091 data_time: 0.0277 memory: 11089 grad_norm: 4.2532 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8179 loss: 1.8179 2022/08/03 08:52:04 - mmengine - INFO - Epoch(train) [90][1300/1879] lr: 2.0000e-02 eta: 1 day, 4:43:30 time: 0.9179 data_time: 0.0257 memory: 11089 grad_norm: 4.2623 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8275 loss: 1.8275 2022/08/03 08:52:23 - mmengine - INFO - Epoch(train) [90][1320/1879] lr: 2.0000e-02 eta: 1 day, 4:43:12 time: 0.9401 data_time: 0.0355 memory: 11089 grad_norm: 4.3556 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6233 loss: 1.6233 2022/08/03 08:52:42 - mmengine - INFO - Epoch(train) [90][1340/1879] lr: 2.0000e-02 eta: 1 day, 4:42:54 time: 0.9305 data_time: 0.0292 memory: 11089 grad_norm: 4.2146 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0159 loss: 2.0159 2022/08/03 08:53:00 - mmengine - INFO - Epoch(train) [90][1360/1879] lr: 2.0000e-02 eta: 1 day, 4:42:36 time: 0.9106 data_time: 0.0279 memory: 11089 grad_norm: 4.1939 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0963 loss: 2.0963 2022/08/03 08:53:19 - mmengine - INFO - Epoch(train) [90][1380/1879] lr: 2.0000e-02 eta: 1 day, 4:42:18 time: 0.9404 data_time: 0.0342 memory: 11089 grad_norm: 4.2030 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0456 loss: 2.0456 2022/08/03 08:53:37 - mmengine - INFO - Epoch(train) [90][1400/1879] lr: 2.0000e-02 eta: 1 day, 4:42:00 time: 0.9232 data_time: 0.0306 memory: 11089 grad_norm: 4.2228 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9312 loss: 1.9312 2022/08/03 08:53:55 - mmengine - INFO - Epoch(train) [90][1420/1879] lr: 2.0000e-02 eta: 1 day, 4:41:41 time: 0.9105 data_time: 0.0265 memory: 11089 grad_norm: 4.1524 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9194 loss: 1.9194 2022/08/03 08:54:13 - mmengine - INFO - Epoch(train) [90][1440/1879] lr: 2.0000e-02 eta: 1 day, 4:41:23 time: 0.8966 data_time: 0.0225 memory: 11089 grad_norm: 4.1006 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9210 loss: 1.9210 2022/08/03 08:54:32 - mmengine - INFO - Epoch(train) [90][1460/1879] lr: 2.0000e-02 eta: 1 day, 4:41:05 time: 0.9333 data_time: 0.0256 memory: 11089 grad_norm: 4.1082 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8948 loss: 1.8948 2022/08/03 08:54:50 - mmengine - INFO - Epoch(train) [90][1480/1879] lr: 2.0000e-02 eta: 1 day, 4:40:47 time: 0.9163 data_time: 0.0285 memory: 11089 grad_norm: 4.2532 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9820 loss: 1.9820 2022/08/03 08:55:09 - mmengine - INFO - Epoch(train) [90][1500/1879] lr: 2.0000e-02 eta: 1 day, 4:40:28 time: 0.9140 data_time: 0.0296 memory: 11089 grad_norm: 4.3632 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8369 loss: 1.8369 2022/08/03 08:55:27 - mmengine - INFO - Epoch(train) [90][1520/1879] lr: 2.0000e-02 eta: 1 day, 4:40:10 time: 0.9219 data_time: 0.0286 memory: 11089 grad_norm: 4.2045 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7620 loss: 1.7620 2022/08/03 08:55:45 - mmengine - INFO - Epoch(train) [90][1540/1879] lr: 2.0000e-02 eta: 1 day, 4:39:52 time: 0.9115 data_time: 0.0269 memory: 11089 grad_norm: 4.3589 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7316 loss: 1.7316 2022/08/03 08:56:04 - mmengine - INFO - Epoch(train) [90][1560/1879] lr: 2.0000e-02 eta: 1 day, 4:39:34 time: 0.9162 data_time: 0.0310 memory: 11089 grad_norm: 4.2249 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8339 loss: 1.8339 2022/08/03 08:56:22 - mmengine - INFO - Epoch(train) [90][1580/1879] lr: 2.0000e-02 eta: 1 day, 4:39:15 time: 0.9020 data_time: 0.0262 memory: 11089 grad_norm: 4.2966 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9408 loss: 1.9408 2022/08/03 08:56:40 - mmengine - INFO - Epoch(train) [90][1600/1879] lr: 2.0000e-02 eta: 1 day, 4:38:57 time: 0.9323 data_time: 0.0295 memory: 11089 grad_norm: 4.3301 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0504 loss: 2.0504 2022/08/03 08:56:59 - mmengine - INFO - Epoch(train) [90][1620/1879] lr: 2.0000e-02 eta: 1 day, 4:38:39 time: 0.9249 data_time: 0.0269 memory: 11089 grad_norm: 4.3230 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9065 loss: 1.9065 2022/08/03 08:57:17 - mmengine - INFO - Epoch(train) [90][1640/1879] lr: 2.0000e-02 eta: 1 day, 4:38:21 time: 0.9115 data_time: 0.0258 memory: 11089 grad_norm: 4.3156 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8822 loss: 1.8822 2022/08/03 08:57:36 - mmengine - INFO - Epoch(train) [90][1660/1879] lr: 2.0000e-02 eta: 1 day, 4:38:03 time: 0.9240 data_time: 0.0312 memory: 11089 grad_norm: 4.1732 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9691 loss: 1.9691 2022/08/03 08:57:54 - mmengine - INFO - Epoch(train) [90][1680/1879] lr: 2.0000e-02 eta: 1 day, 4:37:45 time: 0.9024 data_time: 0.0281 memory: 11089 grad_norm: 4.2002 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8244 loss: 1.8244 2022/08/03 08:58:12 - mmengine - INFO - Epoch(train) [90][1700/1879] lr: 2.0000e-02 eta: 1 day, 4:37:27 time: 0.9282 data_time: 0.0239 memory: 11089 grad_norm: 4.2200 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0416 loss: 2.0416 2022/08/03 08:58:31 - mmengine - INFO - Epoch(train) [90][1720/1879] lr: 2.0000e-02 eta: 1 day, 4:37:09 time: 0.9287 data_time: 0.0343 memory: 11089 grad_norm: 4.0444 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9779 loss: 1.9779 2022/08/03 08:58:50 - mmengine - INFO - Epoch(train) [90][1740/1879] lr: 2.0000e-02 eta: 1 day, 4:36:51 time: 0.9414 data_time: 0.0307 memory: 11089 grad_norm: 4.2136 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9859 loss: 1.9859 2022/08/03 08:59:08 - mmengine - INFO - Epoch(train) [90][1760/1879] lr: 2.0000e-02 eta: 1 day, 4:36:33 time: 0.9268 data_time: 0.0283 memory: 11089 grad_norm: 4.1584 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0317 loss: 2.0317 2022/08/03 08:59:16 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 08:59:26 - mmengine - INFO - Epoch(train) [90][1780/1879] lr: 2.0000e-02 eta: 1 day, 4:36:14 time: 0.9094 data_time: 0.0212 memory: 11089 grad_norm: 4.2783 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.1317 loss: 2.1317 2022/08/03 08:59:44 - mmengine - INFO - Epoch(train) [90][1800/1879] lr: 2.0000e-02 eta: 1 day, 4:35:56 time: 0.9061 data_time: 0.0234 memory: 11089 grad_norm: 4.2096 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1530 loss: 2.1530 2022/08/03 09:00:03 - mmengine - INFO - Epoch(train) [90][1820/1879] lr: 2.0000e-02 eta: 1 day, 4:35:38 time: 0.9161 data_time: 0.0278 memory: 11089 grad_norm: 4.1773 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9421 loss: 1.9421 2022/08/03 09:00:21 - mmengine - INFO - Epoch(train) [90][1840/1879] lr: 2.0000e-02 eta: 1 day, 4:35:20 time: 0.9303 data_time: 0.0292 memory: 11089 grad_norm: 4.1825 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8126 loss: 1.8126 2022/08/03 09:00:40 - mmengine - INFO - Epoch(train) [90][1860/1879] lr: 2.0000e-02 eta: 1 day, 4:35:02 time: 0.9226 data_time: 0.0239 memory: 11089 grad_norm: 4.2515 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0666 loss: 2.0666 2022/08/03 09:00:57 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 09:00:57 - mmengine - INFO - Epoch(train) [90][1879/1879] lr: 2.0000e-02 eta: 1 day, 4:35:02 time: 0.9060 data_time: 0.0242 memory: 11089 grad_norm: 4.3237 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.0572 loss: 2.0572 2022/08/03 09:01:06 - mmengine - INFO - Epoch(val) [90][20/155] eta: 0:00:58 time: 0.4322 data_time: 0.1175 memory: 1950 2022/08/03 09:01:12 - mmengine - INFO - Epoch(val) [90][40/155] eta: 0:00:36 time: 0.3152 data_time: 0.0105 memory: 1950 2022/08/03 09:01:19 - mmengine - INFO - Epoch(val) [90][60/155] eta: 0:00:31 time: 0.3276 data_time: 0.0120 memory: 1950 2022/08/03 09:01:25 - mmengine - INFO - Epoch(val) [90][80/155] eta: 0:00:24 time: 0.3225 data_time: 0.0160 memory: 1950 2022/08/03 09:01:32 - mmengine - INFO - Epoch(val) [90][100/155] eta: 0:00:18 time: 0.3291 data_time: 0.0131 memory: 1950 2022/08/03 09:01:38 - mmengine - INFO - Epoch(val) [90][120/155] eta: 0:00:11 time: 0.3351 data_time: 0.0130 memory: 1950 2022/08/03 09:01:46 - mmengine - INFO - Epoch(val) [90][140/155] eta: 0:00:05 time: 0.3674 data_time: 0.0103 memory: 1950 2022/08/03 09:01:53 - mmengine - INFO - Epoch(val) [90][155/155] acc/top1: 0.5941 acc/top5: 0.8217 acc/mean1: 0.5940 2022/08/03 09:02:13 - mmengine - INFO - Epoch(train) [91][20/1879] lr: 2.0000e-02 eta: 1 day, 4:34:16 time: 0.9887 data_time: 0.1153 memory: 11089 grad_norm: 4.2391 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9375 loss: 1.9375 2022/08/03 09:02:31 - mmengine - INFO - Epoch(train) [91][40/1879] lr: 2.0000e-02 eta: 1 day, 4:33:57 time: 0.9262 data_time: 0.0267 memory: 11089 grad_norm: 4.2041 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9631 loss: 1.9631 2022/08/03 09:02:49 - mmengine - INFO - Epoch(train) [91][60/1879] lr: 2.0000e-02 eta: 1 day, 4:33:39 time: 0.9096 data_time: 0.0217 memory: 11089 grad_norm: 4.1205 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0203 loss: 2.0203 2022/08/03 09:03:08 - mmengine - INFO - Epoch(train) [91][80/1879] lr: 2.0000e-02 eta: 1 day, 4:33:21 time: 0.9258 data_time: 0.0321 memory: 11089 grad_norm: 4.1751 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9604 loss: 1.9604 2022/08/03 09:03:26 - mmengine - INFO - Epoch(train) [91][100/1879] lr: 2.0000e-02 eta: 1 day, 4:33:03 time: 0.9166 data_time: 0.0299 memory: 11089 grad_norm: 4.3067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9936 loss: 1.9936 2022/08/03 09:03:45 - mmengine - INFO - Epoch(train) [91][120/1879] lr: 2.0000e-02 eta: 1 day, 4:32:45 time: 0.9286 data_time: 0.0298 memory: 11089 grad_norm: 4.2555 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0706 loss: 2.0706 2022/08/03 09:04:03 - mmengine - INFO - Epoch(train) [91][140/1879] lr: 2.0000e-02 eta: 1 day, 4:32:26 time: 0.9037 data_time: 0.0270 memory: 11089 grad_norm: 4.1130 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8333 loss: 1.8333 2022/08/03 09:04:21 - mmengine - INFO - Epoch(train) [91][160/1879] lr: 2.0000e-02 eta: 1 day, 4:32:08 time: 0.9220 data_time: 0.0269 memory: 11089 grad_norm: 4.2504 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7285 loss: 1.7285 2022/08/03 09:04:40 - mmengine - INFO - Epoch(train) [91][180/1879] lr: 2.0000e-02 eta: 1 day, 4:31:50 time: 0.9197 data_time: 0.0328 memory: 11089 grad_norm: 4.3561 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7252 loss: 1.7252 2022/08/03 09:04:58 - mmengine - INFO - Epoch(train) [91][200/1879] lr: 2.0000e-02 eta: 1 day, 4:31:32 time: 0.9040 data_time: 0.0219 memory: 11089 grad_norm: 4.1452 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9365 loss: 1.9365 2022/08/03 09:05:16 - mmengine - INFO - Epoch(train) [91][220/1879] lr: 2.0000e-02 eta: 1 day, 4:31:14 time: 0.9142 data_time: 0.0264 memory: 11089 grad_norm: 4.2787 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8864 loss: 1.8864 2022/08/03 09:05:34 - mmengine - INFO - Epoch(train) [91][240/1879] lr: 2.0000e-02 eta: 1 day, 4:30:55 time: 0.9057 data_time: 0.0205 memory: 11089 grad_norm: 4.1437 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6840 loss: 1.6840 2022/08/03 09:05:53 - mmengine - INFO - Epoch(train) [91][260/1879] lr: 2.0000e-02 eta: 1 day, 4:30:37 time: 0.9299 data_time: 0.0281 memory: 11089 grad_norm: 4.2494 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8816 loss: 1.8816 2022/08/03 09:06:11 - mmengine - INFO - Epoch(train) [91][280/1879] lr: 2.0000e-02 eta: 1 day, 4:30:19 time: 0.9101 data_time: 0.0248 memory: 11089 grad_norm: 4.2733 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9585 loss: 1.9585 2022/08/03 09:06:29 - mmengine - INFO - Epoch(train) [91][300/1879] lr: 2.0000e-02 eta: 1 day, 4:30:01 time: 0.9099 data_time: 0.0305 memory: 11089 grad_norm: 4.2061 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8505 loss: 1.8505 2022/08/03 09:06:48 - mmengine - INFO - Epoch(train) [91][320/1879] lr: 2.0000e-02 eta: 1 day, 4:29:43 time: 0.9190 data_time: 0.0283 memory: 11089 grad_norm: 4.0875 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8581 loss: 1.8581 2022/08/03 09:07:06 - mmengine - INFO - Epoch(train) [91][340/1879] lr: 2.0000e-02 eta: 1 day, 4:29:24 time: 0.9026 data_time: 0.0239 memory: 11089 grad_norm: 4.2077 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8943 loss: 1.8943 2022/08/03 09:07:24 - mmengine - INFO - Epoch(train) [91][360/1879] lr: 2.0000e-02 eta: 1 day, 4:29:06 time: 0.9115 data_time: 0.0215 memory: 11089 grad_norm: 4.3169 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9944 loss: 1.9944 2022/08/03 09:07:42 - mmengine - INFO - Epoch(train) [91][380/1879] lr: 2.0000e-02 eta: 1 day, 4:28:48 time: 0.9249 data_time: 0.0256 memory: 11089 grad_norm: 4.2701 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8598 loss: 1.8598 2022/08/03 09:08:01 - mmengine - INFO - Epoch(train) [91][400/1879] lr: 2.0000e-02 eta: 1 day, 4:28:30 time: 0.9280 data_time: 0.0330 memory: 11089 grad_norm: 4.2329 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2033 loss: 2.2033 2022/08/03 09:08:20 - mmengine - INFO - Epoch(train) [91][420/1879] lr: 2.0000e-02 eta: 1 day, 4:28:12 time: 0.9398 data_time: 0.0306 memory: 11089 grad_norm: 4.0954 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.9163 loss: 1.9163 2022/08/03 09:08:38 - mmengine - INFO - Epoch(train) [91][440/1879] lr: 2.0000e-02 eta: 1 day, 4:27:53 time: 0.8988 data_time: 0.0231 memory: 11089 grad_norm: 4.2198 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8708 loss: 1.8708 2022/08/03 09:08:56 - mmengine - INFO - Epoch(train) [91][460/1879] lr: 2.0000e-02 eta: 1 day, 4:27:35 time: 0.9219 data_time: 0.0253 memory: 11089 grad_norm: 4.2586 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7859 loss: 1.7859 2022/08/03 09:09:15 - mmengine - INFO - Epoch(train) [91][480/1879] lr: 2.0000e-02 eta: 1 day, 4:27:17 time: 0.9182 data_time: 0.0328 memory: 11089 grad_norm: 4.2423 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5857 loss: 1.5857 2022/08/03 09:09:33 - mmengine - INFO - Epoch(train) [91][500/1879] lr: 2.0000e-02 eta: 1 day, 4:26:59 time: 0.9075 data_time: 0.0231 memory: 11089 grad_norm: 4.2120 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8917 loss: 1.8917 2022/08/03 09:09:51 - mmengine - INFO - Epoch(train) [91][520/1879] lr: 2.0000e-02 eta: 1 day, 4:26:40 time: 0.9037 data_time: 0.0287 memory: 11089 grad_norm: 4.2014 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7818 loss: 1.7818 2022/08/03 09:10:09 - mmengine - INFO - Epoch(train) [91][540/1879] lr: 2.0000e-02 eta: 1 day, 4:26:22 time: 0.9271 data_time: 0.0341 memory: 11089 grad_norm: 4.1839 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8385 loss: 1.8385 2022/08/03 09:10:28 - mmengine - INFO - Epoch(train) [91][560/1879] lr: 2.0000e-02 eta: 1 day, 4:26:04 time: 0.9317 data_time: 0.0265 memory: 11089 grad_norm: 4.2350 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8784 loss: 1.8784 2022/08/03 09:10:46 - mmengine - INFO - Epoch(train) [91][580/1879] lr: 2.0000e-02 eta: 1 day, 4:25:46 time: 0.9239 data_time: 0.0258 memory: 11089 grad_norm: 4.1604 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9586 loss: 1.9586 2022/08/03 09:11:05 - mmengine - INFO - Epoch(train) [91][600/1879] lr: 2.0000e-02 eta: 1 day, 4:25:28 time: 0.9141 data_time: 0.0234 memory: 11089 grad_norm: 4.1645 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9867 loss: 1.9867 2022/08/03 09:11:23 - mmengine - INFO - Epoch(train) [91][620/1879] lr: 2.0000e-02 eta: 1 day, 4:25:10 time: 0.9163 data_time: 0.0275 memory: 11089 grad_norm: 4.2177 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9035 loss: 1.9035 2022/08/03 09:11:42 - mmengine - INFO - Epoch(train) [91][640/1879] lr: 2.0000e-02 eta: 1 day, 4:24:52 time: 0.9236 data_time: 0.0312 memory: 11089 grad_norm: 4.1464 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8787 loss: 1.8787 2022/08/03 09:12:00 - mmengine - INFO - Epoch(train) [91][660/1879] lr: 2.0000e-02 eta: 1 day, 4:24:33 time: 0.9064 data_time: 0.0242 memory: 11089 grad_norm: 4.2098 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9213 loss: 1.9213 2022/08/03 09:12:18 - mmengine - INFO - Epoch(train) [91][680/1879] lr: 2.0000e-02 eta: 1 day, 4:24:15 time: 0.9209 data_time: 0.0213 memory: 11089 grad_norm: 4.2734 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7537 loss: 1.7537 2022/08/03 09:12:36 - mmengine - INFO - Epoch(train) [91][700/1879] lr: 2.0000e-02 eta: 1 day, 4:23:57 time: 0.9074 data_time: 0.0256 memory: 11089 grad_norm: 4.2242 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7701 loss: 1.7701 2022/08/03 09:12:54 - mmengine - INFO - Epoch(train) [91][720/1879] lr: 2.0000e-02 eta: 1 day, 4:23:39 time: 0.9035 data_time: 0.0276 memory: 11089 grad_norm: 4.1706 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7604 loss: 1.7604 2022/08/03 09:13:13 - mmengine - INFO - Epoch(train) [91][740/1879] lr: 2.0000e-02 eta: 1 day, 4:23:20 time: 0.9103 data_time: 0.0287 memory: 11089 grad_norm: 4.1640 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8636 loss: 1.8636 2022/08/03 09:13:31 - mmengine - INFO - Epoch(train) [91][760/1879] lr: 2.0000e-02 eta: 1 day, 4:23:02 time: 0.9108 data_time: 0.0297 memory: 11089 grad_norm: 4.1499 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8756 loss: 1.8756 2022/08/03 09:13:49 - mmengine - INFO - Epoch(train) [91][780/1879] lr: 2.0000e-02 eta: 1 day, 4:22:44 time: 0.9037 data_time: 0.0231 memory: 11089 grad_norm: 4.2153 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0047 loss: 2.0047 2022/08/03 09:14:07 - mmengine - INFO - Epoch(train) [91][800/1879] lr: 2.0000e-02 eta: 1 day, 4:22:25 time: 0.9146 data_time: 0.0277 memory: 11089 grad_norm: 4.1547 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9423 loss: 1.9423 2022/08/03 09:14:25 - mmengine - INFO - Epoch(train) [91][820/1879] lr: 2.0000e-02 eta: 1 day, 4:22:07 time: 0.9127 data_time: 0.0220 memory: 11089 grad_norm: 4.2422 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7586 loss: 1.7586 2022/08/03 09:14:44 - mmengine - INFO - Epoch(train) [91][840/1879] lr: 2.0000e-02 eta: 1 day, 4:21:49 time: 0.9165 data_time: 0.0298 memory: 11089 grad_norm: 4.2623 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7021 loss: 1.7021 2022/08/03 09:15:02 - mmengine - INFO - Epoch(train) [91][860/1879] lr: 2.0000e-02 eta: 1 day, 4:21:31 time: 0.9233 data_time: 0.0298 memory: 11089 grad_norm: 4.2539 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8557 loss: 1.8557 2022/08/03 09:15:20 - mmengine - INFO - Epoch(train) [91][880/1879] lr: 2.0000e-02 eta: 1 day, 4:21:13 time: 0.9111 data_time: 0.0249 memory: 11089 grad_norm: 4.2414 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8076 loss: 1.8076 2022/08/03 09:15:30 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 09:15:39 - mmengine - INFO - Epoch(train) [91][900/1879] lr: 2.0000e-02 eta: 1 day, 4:20:55 time: 0.9224 data_time: 0.0229 memory: 11089 grad_norm: 4.2147 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9532 loss: 1.9532 2022/08/03 09:15:57 - mmengine - INFO - Epoch(train) [91][920/1879] lr: 2.0000e-02 eta: 1 day, 4:20:36 time: 0.9164 data_time: 0.0263 memory: 11089 grad_norm: 4.2701 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8752 loss: 1.8752 2022/08/03 09:16:15 - mmengine - INFO - Epoch(train) [91][940/1879] lr: 2.0000e-02 eta: 1 day, 4:20:18 time: 0.9025 data_time: 0.0221 memory: 11089 grad_norm: 4.1464 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9481 loss: 1.9481 2022/08/03 09:16:33 - mmengine - INFO - Epoch(train) [91][960/1879] lr: 2.0000e-02 eta: 1 day, 4:20:00 time: 0.9072 data_time: 0.0245 memory: 11089 grad_norm: 4.3115 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0111 loss: 2.0111 2022/08/03 09:16:52 - mmengine - INFO - Epoch(train) [91][980/1879] lr: 2.0000e-02 eta: 1 day, 4:19:41 time: 0.9168 data_time: 0.0281 memory: 11089 grad_norm: 4.2578 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7913 loss: 1.7913 2022/08/03 09:17:10 - mmengine - INFO - Epoch(train) [91][1000/1879] lr: 2.0000e-02 eta: 1 day, 4:19:23 time: 0.9123 data_time: 0.0211 memory: 11089 grad_norm: 4.2265 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 1.8764 loss: 1.8764 2022/08/03 09:17:28 - mmengine - INFO - Epoch(train) [91][1020/1879] lr: 2.0000e-02 eta: 1 day, 4:19:05 time: 0.9112 data_time: 0.0248 memory: 11089 grad_norm: 4.1449 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9533 loss: 1.9533 2022/08/03 09:17:46 - mmengine - INFO - Epoch(train) [91][1040/1879] lr: 2.0000e-02 eta: 1 day, 4:18:47 time: 0.9045 data_time: 0.0300 memory: 11089 grad_norm: 4.2345 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4775 loss: 1.4775 2022/08/03 09:18:05 - mmengine - INFO - Epoch(train) [91][1060/1879] lr: 2.0000e-02 eta: 1 day, 4:18:28 time: 0.9127 data_time: 0.0259 memory: 11089 grad_norm: 4.2073 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0923 loss: 2.0923 2022/08/03 09:18:23 - mmengine - INFO - Epoch(train) [91][1080/1879] lr: 2.0000e-02 eta: 1 day, 4:18:10 time: 0.8996 data_time: 0.0257 memory: 11089 grad_norm: 4.2654 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0051 loss: 2.0051 2022/08/03 09:18:41 - mmengine - INFO - Epoch(train) [91][1100/1879] lr: 2.0000e-02 eta: 1 day, 4:17:52 time: 0.9422 data_time: 0.0258 memory: 11089 grad_norm: 4.2475 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0924 loss: 2.0924 2022/08/03 09:19:00 - mmengine - INFO - Epoch(train) [91][1120/1879] lr: 2.0000e-02 eta: 1 day, 4:17:34 time: 0.9183 data_time: 0.0228 memory: 11089 grad_norm: 4.3075 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9968 loss: 1.9968 2022/08/03 09:19:18 - mmengine - INFO - Epoch(train) [91][1140/1879] lr: 2.0000e-02 eta: 1 day, 4:17:15 time: 0.8983 data_time: 0.0223 memory: 11089 grad_norm: 4.2235 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0059 loss: 2.0059 2022/08/03 09:19:36 - mmengine - INFO - Epoch(train) [91][1160/1879] lr: 2.0000e-02 eta: 1 day, 4:16:57 time: 0.9006 data_time: 0.0224 memory: 11089 grad_norm: 4.3533 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7653 loss: 1.7653 2022/08/03 09:19:54 - mmengine - INFO - Epoch(train) [91][1180/1879] lr: 2.0000e-02 eta: 1 day, 4:16:39 time: 0.9257 data_time: 0.0262 memory: 11089 grad_norm: 4.2455 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8761 loss: 1.8761 2022/08/03 09:20:13 - mmengine - INFO - Epoch(train) [91][1200/1879] lr: 2.0000e-02 eta: 1 day, 4:16:21 time: 0.9297 data_time: 0.0307 memory: 11089 grad_norm: 4.3355 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9123 loss: 1.9123 2022/08/03 09:20:31 - mmengine - INFO - Epoch(train) [91][1220/1879] lr: 2.0000e-02 eta: 1 day, 4:16:03 time: 0.9115 data_time: 0.0231 memory: 11089 grad_norm: 4.4517 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.9467 loss: 1.9467 2022/08/03 09:20:49 - mmengine - INFO - Epoch(train) [91][1240/1879] lr: 2.0000e-02 eta: 1 day, 4:15:44 time: 0.8850 data_time: 0.0235 memory: 11089 grad_norm: 4.2946 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9108 loss: 1.9108 2022/08/03 09:21:07 - mmengine - INFO - Epoch(train) [91][1260/1879] lr: 2.0000e-02 eta: 1 day, 4:15:26 time: 0.9075 data_time: 0.0252 memory: 11089 grad_norm: 4.1843 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8844 loss: 1.8844 2022/08/03 09:21:25 - mmengine - INFO - Epoch(train) [91][1280/1879] lr: 2.0000e-02 eta: 1 day, 4:15:07 time: 0.9078 data_time: 0.0279 memory: 11089 grad_norm: 4.2367 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9509 loss: 1.9509 2022/08/03 09:21:44 - mmengine - INFO - Epoch(train) [91][1300/1879] lr: 2.0000e-02 eta: 1 day, 4:14:49 time: 0.9291 data_time: 0.0346 memory: 11089 grad_norm: 4.1447 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9790 loss: 1.9790 2022/08/03 09:22:02 - mmengine - INFO - Epoch(train) [91][1320/1879] lr: 2.0000e-02 eta: 1 day, 4:14:31 time: 0.9245 data_time: 0.0317 memory: 11089 grad_norm: 4.2224 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8348 loss: 1.8348 2022/08/03 09:22:21 - mmengine - INFO - Epoch(train) [91][1340/1879] lr: 2.0000e-02 eta: 1 day, 4:14:13 time: 0.9176 data_time: 0.0294 memory: 11089 grad_norm: 4.2780 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9655 loss: 1.9655 2022/08/03 09:22:39 - mmengine - INFO - Epoch(train) [91][1360/1879] lr: 2.0000e-02 eta: 1 day, 4:13:55 time: 0.9250 data_time: 0.0267 memory: 11089 grad_norm: 4.2357 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8290 loss: 1.8290 2022/08/03 09:22:58 - mmengine - INFO - Epoch(train) [91][1380/1879] lr: 2.0000e-02 eta: 1 day, 4:13:37 time: 0.9288 data_time: 0.0313 memory: 11089 grad_norm: 4.1860 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7641 loss: 1.7641 2022/08/03 09:23:16 - mmengine - INFO - Epoch(train) [91][1400/1879] lr: 2.0000e-02 eta: 1 day, 4:13:19 time: 0.9071 data_time: 0.0241 memory: 11089 grad_norm: 4.2526 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9430 loss: 1.9430 2022/08/03 09:23:34 - mmengine - INFO - Epoch(train) [91][1420/1879] lr: 2.0000e-02 eta: 1 day, 4:13:00 time: 0.9013 data_time: 0.0264 memory: 11089 grad_norm: 4.2370 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9519 loss: 1.9519 2022/08/03 09:23:52 - mmengine - INFO - Epoch(train) [91][1440/1879] lr: 2.0000e-02 eta: 1 day, 4:12:42 time: 0.9075 data_time: 0.0283 memory: 11089 grad_norm: 4.2927 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9293 loss: 1.9293 2022/08/03 09:24:10 - mmengine - INFO - Epoch(train) [91][1460/1879] lr: 2.0000e-02 eta: 1 day, 4:12:24 time: 0.9198 data_time: 0.0284 memory: 11089 grad_norm: 4.1829 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.9120 loss: 1.9120 2022/08/03 09:24:29 - mmengine - INFO - Epoch(train) [91][1480/1879] lr: 2.0000e-02 eta: 1 day, 4:12:05 time: 0.9089 data_time: 0.0236 memory: 11089 grad_norm: 4.3107 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8668 loss: 1.8668 2022/08/03 09:24:47 - mmengine - INFO - Epoch(train) [91][1500/1879] lr: 2.0000e-02 eta: 1 day, 4:11:47 time: 0.9054 data_time: 0.0258 memory: 11089 grad_norm: 4.2276 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7821 loss: 1.7821 2022/08/03 09:25:05 - mmengine - INFO - Epoch(train) [91][1520/1879] lr: 2.0000e-02 eta: 1 day, 4:11:29 time: 0.9127 data_time: 0.0334 memory: 11089 grad_norm: 4.2785 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9551 loss: 1.9551 2022/08/03 09:25:24 - mmengine - INFO - Epoch(train) [91][1540/1879] lr: 2.0000e-02 eta: 1 day, 4:11:11 time: 0.9299 data_time: 0.0364 memory: 11089 grad_norm: 4.3287 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0043 loss: 2.0043 2022/08/03 09:25:41 - mmengine - INFO - Epoch(train) [91][1560/1879] lr: 2.0000e-02 eta: 1 day, 4:10:52 time: 0.8910 data_time: 0.0217 memory: 11089 grad_norm: 4.2687 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9422 loss: 1.9422 2022/08/03 09:26:00 - mmengine - INFO - Epoch(train) [91][1580/1879] lr: 2.0000e-02 eta: 1 day, 4:10:34 time: 0.9411 data_time: 0.0375 memory: 11089 grad_norm: 4.2003 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8733 loss: 1.8733 2022/08/03 09:26:18 - mmengine - INFO - Epoch(train) [91][1600/1879] lr: 2.0000e-02 eta: 1 day, 4:10:16 time: 0.9112 data_time: 0.0277 memory: 11089 grad_norm: 4.2433 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0184 loss: 2.0184 2022/08/03 09:26:37 - mmengine - INFO - Epoch(train) [91][1620/1879] lr: 2.0000e-02 eta: 1 day, 4:09:58 time: 0.9068 data_time: 0.0310 memory: 11089 grad_norm: 4.1960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9711 loss: 1.9711 2022/08/03 09:26:55 - mmengine - INFO - Epoch(train) [91][1640/1879] lr: 2.0000e-02 eta: 1 day, 4:09:40 time: 0.9060 data_time: 0.0246 memory: 11089 grad_norm: 4.2262 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8670 loss: 1.8670 2022/08/03 09:27:13 - mmengine - INFO - Epoch(train) [91][1660/1879] lr: 2.0000e-02 eta: 1 day, 4:09:21 time: 0.9115 data_time: 0.0244 memory: 11089 grad_norm: 4.2620 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0071 loss: 2.0071 2022/08/03 09:27:31 - mmengine - INFO - Epoch(train) [91][1680/1879] lr: 2.0000e-02 eta: 1 day, 4:09:03 time: 0.9177 data_time: 0.0213 memory: 11089 grad_norm: 4.3008 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0395 loss: 2.0395 2022/08/03 09:27:50 - mmengine - INFO - Epoch(train) [91][1700/1879] lr: 2.0000e-02 eta: 1 day, 4:08:45 time: 0.9228 data_time: 0.0314 memory: 11089 grad_norm: 4.2299 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6969 loss: 1.6969 2022/08/03 09:28:08 - mmengine - INFO - Epoch(train) [91][1720/1879] lr: 2.0000e-02 eta: 1 day, 4:08:27 time: 0.9277 data_time: 0.0311 memory: 11089 grad_norm: 4.2268 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7989 loss: 1.7989 2022/08/03 09:28:26 - mmengine - INFO - Epoch(train) [91][1740/1879] lr: 2.0000e-02 eta: 1 day, 4:08:09 time: 0.9103 data_time: 0.0301 memory: 11089 grad_norm: 4.2228 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7470 loss: 1.7470 2022/08/03 09:28:45 - mmengine - INFO - Epoch(train) [91][1760/1879] lr: 2.0000e-02 eta: 1 day, 4:07:51 time: 0.9321 data_time: 0.0301 memory: 11089 grad_norm: 4.1517 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9538 loss: 1.9538 2022/08/03 09:29:04 - mmengine - INFO - Epoch(train) [91][1780/1879] lr: 2.0000e-02 eta: 1 day, 4:07:32 time: 0.9196 data_time: 0.0312 memory: 11089 grad_norm: 4.2054 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8738 loss: 1.8738 2022/08/03 09:29:22 - mmengine - INFO - Epoch(train) [91][1800/1879] lr: 2.0000e-02 eta: 1 day, 4:07:14 time: 0.9150 data_time: 0.0312 memory: 11089 grad_norm: 4.2960 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0362 loss: 2.0362 2022/08/03 09:29:40 - mmengine - INFO - Epoch(train) [91][1820/1879] lr: 2.0000e-02 eta: 1 day, 4:06:56 time: 0.9132 data_time: 0.0226 memory: 11089 grad_norm: 4.3011 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7369 loss: 1.7369 2022/08/03 09:29:58 - mmengine - INFO - Epoch(train) [91][1840/1879] lr: 2.0000e-02 eta: 1 day, 4:06:38 time: 0.9090 data_time: 0.0267 memory: 11089 grad_norm: 4.3044 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0857 loss: 2.0857 2022/08/03 09:30:16 - mmengine - INFO - Epoch(train) [91][1860/1879] lr: 2.0000e-02 eta: 1 day, 4:06:19 time: 0.9007 data_time: 0.0249 memory: 11089 grad_norm: 4.1513 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8094 loss: 1.8094 2022/08/03 09:30:34 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 09:30:34 - mmengine - INFO - Epoch(train) [91][1879/1879] lr: 2.0000e-02 eta: 1 day, 4:06:19 time: 0.9278 data_time: 0.0228 memory: 11089 grad_norm: 4.4274 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.0213 loss: 2.0213 2022/08/03 09:30:46 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 09:30:54 - mmengine - INFO - Epoch(train) [92][20/1879] lr: 2.0000e-02 eta: 1 day, 4:05:33 time: 0.9866 data_time: 0.1251 memory: 11089 grad_norm: 4.2612 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7726 loss: 1.7726 2022/08/03 09:31:12 - mmengine - INFO - Epoch(train) [92][40/1879] lr: 2.0000e-02 eta: 1 day, 4:05:15 time: 0.9113 data_time: 0.0229 memory: 11089 grad_norm: 4.1451 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8175 loss: 1.8175 2022/08/03 09:31:31 - mmengine - INFO - Epoch(train) [92][60/1879] lr: 2.0000e-02 eta: 1 day, 4:04:57 time: 0.9274 data_time: 0.0285 memory: 11089 grad_norm: 4.1765 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8342 loss: 1.8342 2022/08/03 09:31:49 - mmengine - INFO - Epoch(train) [92][80/1879] lr: 2.0000e-02 eta: 1 day, 4:04:39 time: 0.9040 data_time: 0.0232 memory: 11089 grad_norm: 4.1534 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0566 loss: 2.0566 2022/08/03 09:32:07 - mmengine - INFO - Epoch(train) [92][100/1879] lr: 2.0000e-02 eta: 1 day, 4:04:20 time: 0.8943 data_time: 0.0233 memory: 11089 grad_norm: 4.2377 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9723 loss: 1.9723 2022/08/03 09:32:25 - mmengine - INFO - Epoch(train) [92][120/1879] lr: 2.0000e-02 eta: 1 day, 4:04:02 time: 0.9202 data_time: 0.0239 memory: 11089 grad_norm: 4.1274 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0206 loss: 2.0206 2022/08/03 09:32:43 - mmengine - INFO - Epoch(train) [92][140/1879] lr: 2.0000e-02 eta: 1 day, 4:03:44 time: 0.9181 data_time: 0.0250 memory: 11089 grad_norm: 4.1978 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7720 loss: 1.7720 2022/08/03 09:33:02 - mmengine - INFO - Epoch(train) [92][160/1879] lr: 2.0000e-02 eta: 1 day, 4:03:26 time: 0.9147 data_time: 0.0303 memory: 11089 grad_norm: 4.2039 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8895 loss: 1.8895 2022/08/03 09:33:20 - mmengine - INFO - Epoch(train) [92][180/1879] lr: 2.0000e-02 eta: 1 day, 4:03:08 time: 0.9388 data_time: 0.0279 memory: 11089 grad_norm: 4.1515 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9410 loss: 1.9410 2022/08/03 09:33:39 - mmengine - INFO - Epoch(train) [92][200/1879] lr: 2.0000e-02 eta: 1 day, 4:02:50 time: 0.9204 data_time: 0.0221 memory: 11089 grad_norm: 4.2461 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7670 loss: 1.7670 2022/08/03 09:33:57 - mmengine - INFO - Epoch(train) [92][220/1879] lr: 2.0000e-02 eta: 1 day, 4:02:32 time: 0.9258 data_time: 0.0263 memory: 11089 grad_norm: 4.1136 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.7770 loss: 1.7770 2022/08/03 09:34:15 - mmengine - INFO - Epoch(train) [92][240/1879] lr: 2.0000e-02 eta: 1 day, 4:02:13 time: 0.8977 data_time: 0.0215 memory: 11089 grad_norm: 4.2192 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9606 loss: 1.9606 2022/08/03 09:34:34 - mmengine - INFO - Epoch(train) [92][260/1879] lr: 2.0000e-02 eta: 1 day, 4:01:55 time: 0.9306 data_time: 0.0294 memory: 11089 grad_norm: 4.2106 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8446 loss: 1.8446 2022/08/03 09:34:52 - mmengine - INFO - Epoch(train) [92][280/1879] lr: 2.0000e-02 eta: 1 day, 4:01:37 time: 0.9189 data_time: 0.0222 memory: 11089 grad_norm: 4.2713 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7897 loss: 1.7897 2022/08/03 09:35:11 - mmengine - INFO - Epoch(train) [92][300/1879] lr: 2.0000e-02 eta: 1 day, 4:01:19 time: 0.9219 data_time: 0.0232 memory: 11089 grad_norm: 4.3418 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8465 loss: 1.8465 2022/08/03 09:35:29 - mmengine - INFO - Epoch(train) [92][320/1879] lr: 2.0000e-02 eta: 1 day, 4:01:01 time: 0.9078 data_time: 0.0234 memory: 11089 grad_norm: 4.2920 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8739 loss: 1.8739 2022/08/03 09:35:47 - mmengine - INFO - Epoch(train) [92][340/1879] lr: 2.0000e-02 eta: 1 day, 4:00:42 time: 0.9161 data_time: 0.0257 memory: 11089 grad_norm: 4.2985 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8767 loss: 1.8767 2022/08/03 09:36:06 - mmengine - INFO - Epoch(train) [92][360/1879] lr: 2.0000e-02 eta: 1 day, 4:00:24 time: 0.9187 data_time: 0.0241 memory: 11089 grad_norm: 4.2481 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7919 loss: 1.7919 2022/08/03 09:36:24 - mmengine - INFO - Epoch(train) [92][380/1879] lr: 2.0000e-02 eta: 1 day, 4:00:06 time: 0.9041 data_time: 0.0257 memory: 11089 grad_norm: 4.2997 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8523 loss: 1.8523 2022/08/03 09:36:42 - mmengine - INFO - Epoch(train) [92][400/1879] lr: 2.0000e-02 eta: 1 day, 3:59:48 time: 0.9187 data_time: 0.0281 memory: 11089 grad_norm: 4.2715 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9609 loss: 1.9609 2022/08/03 09:37:00 - mmengine - INFO - Epoch(train) [92][420/1879] lr: 2.0000e-02 eta: 1 day, 3:59:29 time: 0.9064 data_time: 0.0238 memory: 11089 grad_norm: 4.2205 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9322 loss: 1.9322 2022/08/03 09:37:19 - mmengine - INFO - Epoch(train) [92][440/1879] lr: 2.0000e-02 eta: 1 day, 3:59:11 time: 0.9174 data_time: 0.0264 memory: 11089 grad_norm: 4.2089 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8169 loss: 1.8169 2022/08/03 09:37:37 - mmengine - INFO - Epoch(train) [92][460/1879] lr: 2.0000e-02 eta: 1 day, 3:58:53 time: 0.9135 data_time: 0.0304 memory: 11089 grad_norm: 4.2971 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9112 loss: 1.9112 2022/08/03 09:37:55 - mmengine - INFO - Epoch(train) [92][480/1879] lr: 2.0000e-02 eta: 1 day, 3:58:35 time: 0.9167 data_time: 0.0256 memory: 11089 grad_norm: 4.1624 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8841 loss: 1.8841 2022/08/03 09:38:13 - mmengine - INFO - Epoch(train) [92][500/1879] lr: 2.0000e-02 eta: 1 day, 3:58:16 time: 0.9102 data_time: 0.0194 memory: 11089 grad_norm: 4.2654 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8652 loss: 1.8652 2022/08/03 09:38:32 - mmengine - INFO - Epoch(train) [92][520/1879] lr: 2.0000e-02 eta: 1 day, 3:57:58 time: 0.9203 data_time: 0.0236 memory: 11089 grad_norm: 4.2050 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9502 loss: 1.9502 2022/08/03 09:38:50 - mmengine - INFO - Epoch(train) [92][540/1879] lr: 2.0000e-02 eta: 1 day, 3:57:40 time: 0.9197 data_time: 0.0263 memory: 11089 grad_norm: 4.1394 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7069 loss: 1.7069 2022/08/03 09:39:09 - mmengine - INFO - Epoch(train) [92][560/1879] lr: 2.0000e-02 eta: 1 day, 3:57:22 time: 0.9269 data_time: 0.0263 memory: 11089 grad_norm: 4.2373 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0329 loss: 2.0329 2022/08/03 09:39:27 - mmengine - INFO - Epoch(train) [92][580/1879] lr: 2.0000e-02 eta: 1 day, 3:57:04 time: 0.9154 data_time: 0.0313 memory: 11089 grad_norm: 4.2700 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1621 loss: 2.1621 2022/08/03 09:39:46 - mmengine - INFO - Epoch(train) [92][600/1879] lr: 2.0000e-02 eta: 1 day, 3:56:46 time: 0.9299 data_time: 0.0266 memory: 11089 grad_norm: 4.1559 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8183 loss: 1.8183 2022/08/03 09:40:04 - mmengine - INFO - Epoch(train) [92][620/1879] lr: 2.0000e-02 eta: 1 day, 3:56:28 time: 0.9093 data_time: 0.0282 memory: 11089 grad_norm: 4.2716 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9988 loss: 1.9988 2022/08/03 09:40:22 - mmengine - INFO - Epoch(train) [92][640/1879] lr: 2.0000e-02 eta: 1 day, 3:56:09 time: 0.9121 data_time: 0.0312 memory: 11089 grad_norm: 4.3480 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8990 loss: 1.8990 2022/08/03 09:40:40 - mmengine - INFO - Epoch(train) [92][660/1879] lr: 2.0000e-02 eta: 1 day, 3:55:51 time: 0.9093 data_time: 0.0318 memory: 11089 grad_norm: 4.1673 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8647 loss: 1.8647 2022/08/03 09:40:59 - mmengine - INFO - Epoch(train) [92][680/1879] lr: 2.0000e-02 eta: 1 day, 3:55:33 time: 0.9153 data_time: 0.0313 memory: 11089 grad_norm: 4.2165 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0228 loss: 2.0228 2022/08/03 09:41:17 - mmengine - INFO - Epoch(train) [92][700/1879] lr: 2.0000e-02 eta: 1 day, 3:55:15 time: 0.9140 data_time: 0.0223 memory: 11089 grad_norm: 4.3081 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8638 loss: 1.8638 2022/08/03 09:41:35 - mmengine - INFO - Epoch(train) [92][720/1879] lr: 2.0000e-02 eta: 1 day, 3:54:56 time: 0.9068 data_time: 0.0210 memory: 11089 grad_norm: 4.2834 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9116 loss: 1.9116 2022/08/03 09:41:53 - mmengine - INFO - Epoch(train) [92][740/1879] lr: 2.0000e-02 eta: 1 day, 3:54:38 time: 0.8940 data_time: 0.0222 memory: 11089 grad_norm: 4.2504 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8806 loss: 1.8806 2022/08/03 09:42:11 - mmengine - INFO - Epoch(train) [92][760/1879] lr: 2.0000e-02 eta: 1 day, 3:54:19 time: 0.9064 data_time: 0.0254 memory: 11089 grad_norm: 4.1340 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8957 loss: 1.8957 2022/08/03 09:42:29 - mmengine - INFO - Epoch(train) [92][780/1879] lr: 2.0000e-02 eta: 1 day, 3:54:01 time: 0.9056 data_time: 0.0247 memory: 11089 grad_norm: 4.2765 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9309 loss: 1.9309 2022/08/03 09:42:47 - mmengine - INFO - Epoch(train) [92][800/1879] lr: 2.0000e-02 eta: 1 day, 3:53:43 time: 0.9041 data_time: 0.0259 memory: 11089 grad_norm: 4.2006 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9379 loss: 1.9379 2022/08/03 09:43:05 - mmengine - INFO - Epoch(train) [92][820/1879] lr: 2.0000e-02 eta: 1 day, 3:53:24 time: 0.9090 data_time: 0.0222 memory: 11089 grad_norm: 4.2019 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8304 loss: 1.8304 2022/08/03 09:43:24 - mmengine - INFO - Epoch(train) [92][840/1879] lr: 2.0000e-02 eta: 1 day, 3:53:06 time: 0.9147 data_time: 0.0218 memory: 11089 grad_norm: 4.2781 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8658 loss: 1.8658 2022/08/03 09:43:42 - mmengine - INFO - Epoch(train) [92][860/1879] lr: 2.0000e-02 eta: 1 day, 3:52:48 time: 0.9192 data_time: 0.0292 memory: 11089 grad_norm: 4.1828 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7551 loss: 1.7551 2022/08/03 09:44:01 - mmengine - INFO - Epoch(train) [92][880/1879] lr: 2.0000e-02 eta: 1 day, 3:52:30 time: 0.9222 data_time: 0.0232 memory: 11089 grad_norm: 4.3165 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2015 loss: 2.2015 2022/08/03 09:44:19 - mmengine - INFO - Epoch(train) [92][900/1879] lr: 2.0000e-02 eta: 1 day, 3:52:12 time: 0.9184 data_time: 0.0346 memory: 11089 grad_norm: 4.2720 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9052 loss: 1.9052 2022/08/03 09:44:37 - mmengine - INFO - Epoch(train) [92][920/1879] lr: 2.0000e-02 eta: 1 day, 3:51:53 time: 0.9070 data_time: 0.0262 memory: 11089 grad_norm: 4.3765 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8948 loss: 1.8948 2022/08/03 09:44:56 - mmengine - INFO - Epoch(train) [92][940/1879] lr: 2.0000e-02 eta: 1 day, 3:51:35 time: 0.9250 data_time: 0.0310 memory: 11089 grad_norm: 4.2495 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0302 loss: 2.0302 2022/08/03 09:45:14 - mmengine - INFO - Epoch(train) [92][960/1879] lr: 2.0000e-02 eta: 1 day, 3:51:17 time: 0.9084 data_time: 0.0240 memory: 11089 grad_norm: 4.2742 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0943 loss: 2.0943 2022/08/03 09:45:32 - mmengine - INFO - Epoch(train) [92][980/1879] lr: 2.0000e-02 eta: 1 day, 3:50:59 time: 0.9112 data_time: 0.0262 memory: 11089 grad_norm: 4.2571 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9836 loss: 1.9836 2022/08/03 09:45:50 - mmengine - INFO - Epoch(train) [92][1000/1879] lr: 2.0000e-02 eta: 1 day, 3:50:40 time: 0.9004 data_time: 0.0193 memory: 11089 grad_norm: 4.2684 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0369 loss: 2.0369 2022/08/03 09:46:00 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 09:46:08 - mmengine - INFO - Epoch(train) [92][1020/1879] lr: 2.0000e-02 eta: 1 day, 3:50:22 time: 0.9004 data_time: 0.0215 memory: 11089 grad_norm: 4.2141 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7173 loss: 1.7173 2022/08/03 09:46:27 - mmengine - INFO - Epoch(train) [92][1040/1879] lr: 2.0000e-02 eta: 1 day, 3:50:04 time: 0.9290 data_time: 0.0273 memory: 11089 grad_norm: 4.1300 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8490 loss: 1.8490 2022/08/03 09:46:45 - mmengine - INFO - Epoch(train) [92][1060/1879] lr: 2.0000e-02 eta: 1 day, 3:49:46 time: 0.9141 data_time: 0.0250 memory: 11089 grad_norm: 4.1821 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8924 loss: 1.8924 2022/08/03 09:47:03 - mmengine - INFO - Epoch(train) [92][1080/1879] lr: 2.0000e-02 eta: 1 day, 3:49:28 time: 0.9167 data_time: 0.0282 memory: 11089 grad_norm: 4.1814 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9000 loss: 1.9000 2022/08/03 09:47:22 - mmengine - INFO - Epoch(train) [92][1100/1879] lr: 2.0000e-02 eta: 1 day, 3:49:09 time: 0.9223 data_time: 0.0295 memory: 11089 grad_norm: 4.3633 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8057 loss: 1.8057 2022/08/03 09:47:40 - mmengine - INFO - Epoch(train) [92][1120/1879] lr: 2.0000e-02 eta: 1 day, 3:48:51 time: 0.9220 data_time: 0.0320 memory: 11089 grad_norm: 4.2442 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8253 loss: 1.8253 2022/08/03 09:47:58 - mmengine - INFO - Epoch(train) [92][1140/1879] lr: 2.0000e-02 eta: 1 day, 3:48:33 time: 0.9059 data_time: 0.0221 memory: 11089 grad_norm: 4.2236 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8567 loss: 1.8567 2022/08/03 09:48:16 - mmengine - INFO - Epoch(train) [92][1160/1879] lr: 2.0000e-02 eta: 1 day, 3:48:15 time: 0.9117 data_time: 0.0236 memory: 11089 grad_norm: 4.2384 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7967 loss: 1.7967 2022/08/03 09:48:35 - mmengine - INFO - Epoch(train) [92][1180/1879] lr: 2.0000e-02 eta: 1 day, 3:47:57 time: 0.9330 data_time: 0.0345 memory: 11089 grad_norm: 4.1985 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8232 loss: 1.8232 2022/08/03 09:48:53 - mmengine - INFO - Epoch(train) [92][1200/1879] lr: 2.0000e-02 eta: 1 day, 3:47:38 time: 0.9058 data_time: 0.0282 memory: 11089 grad_norm: 4.3481 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0790 loss: 2.0790 2022/08/03 09:49:11 - mmengine - INFO - Epoch(train) [92][1220/1879] lr: 2.0000e-02 eta: 1 day, 3:47:20 time: 0.9010 data_time: 0.0254 memory: 11089 grad_norm: 4.1594 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8618 loss: 1.8618 2022/08/03 09:49:29 - mmengine - INFO - Epoch(train) [92][1240/1879] lr: 2.0000e-02 eta: 1 day, 3:47:02 time: 0.9018 data_time: 0.0241 memory: 11089 grad_norm: 4.2556 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8269 loss: 1.8269 2022/08/03 09:49:48 - mmengine - INFO - Epoch(train) [92][1260/1879] lr: 2.0000e-02 eta: 1 day, 3:46:44 time: 0.9322 data_time: 0.0270 memory: 11089 grad_norm: 4.3066 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0424 loss: 2.0424 2022/08/03 09:50:06 - mmengine - INFO - Epoch(train) [92][1280/1879] lr: 2.0000e-02 eta: 1 day, 3:46:25 time: 0.9146 data_time: 0.0279 memory: 11089 grad_norm: 4.2623 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8199 loss: 1.8199 2022/08/03 09:50:24 - mmengine - INFO - Epoch(train) [92][1300/1879] lr: 2.0000e-02 eta: 1 day, 3:46:07 time: 0.8997 data_time: 0.0272 memory: 11089 grad_norm: 4.2534 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9887 loss: 1.9887 2022/08/03 09:50:42 - mmengine - INFO - Epoch(train) [92][1320/1879] lr: 2.0000e-02 eta: 1 day, 3:45:49 time: 0.9044 data_time: 0.0266 memory: 11089 grad_norm: 4.3404 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8845 loss: 1.8845 2022/08/03 09:51:00 - mmengine - INFO - Epoch(train) [92][1340/1879] lr: 2.0000e-02 eta: 1 day, 3:45:30 time: 0.9054 data_time: 0.0265 memory: 11089 grad_norm: 4.2389 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7917 loss: 1.7917 2022/08/03 09:51:18 - mmengine - INFO - Epoch(train) [92][1360/1879] lr: 2.0000e-02 eta: 1 day, 3:45:12 time: 0.8927 data_time: 0.0227 memory: 11089 grad_norm: 4.2638 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8323 loss: 1.8323 2022/08/03 09:51:37 - mmengine - INFO - Epoch(train) [92][1380/1879] lr: 2.0000e-02 eta: 1 day, 3:44:54 time: 0.9238 data_time: 0.0253 memory: 11089 grad_norm: 4.2182 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0167 loss: 2.0167 2022/08/03 09:51:55 - mmengine - INFO - Epoch(train) [92][1400/1879] lr: 2.0000e-02 eta: 1 day, 3:44:35 time: 0.9145 data_time: 0.0232 memory: 11089 grad_norm: 4.3087 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8004 loss: 1.8004 2022/08/03 09:52:14 - mmengine - INFO - Epoch(train) [92][1420/1879] lr: 2.0000e-02 eta: 1 day, 3:44:17 time: 0.9322 data_time: 0.0315 memory: 11089 grad_norm: 4.2692 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7918 loss: 1.7918 2022/08/03 09:52:32 - mmengine - INFO - Epoch(train) [92][1440/1879] lr: 2.0000e-02 eta: 1 day, 3:43:59 time: 0.9127 data_time: 0.0304 memory: 11089 grad_norm: 4.3649 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9634 loss: 1.9634 2022/08/03 09:52:50 - mmengine - INFO - Epoch(train) [92][1460/1879] lr: 2.0000e-02 eta: 1 day, 3:43:41 time: 0.9126 data_time: 0.0267 memory: 11089 grad_norm: 4.2077 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0567 loss: 2.0567 2022/08/03 09:53:08 - mmengine - INFO - Epoch(train) [92][1480/1879] lr: 2.0000e-02 eta: 1 day, 3:43:23 time: 0.9038 data_time: 0.0245 memory: 11089 grad_norm: 4.1093 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.9642 loss: 1.9642 2022/08/03 09:53:27 - mmengine - INFO - Epoch(train) [92][1500/1879] lr: 2.0000e-02 eta: 1 day, 3:43:05 time: 0.9253 data_time: 0.0253 memory: 11089 grad_norm: 4.1725 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8558 loss: 1.8558 2022/08/03 09:53:46 - mmengine - INFO - Epoch(train) [92][1520/1879] lr: 2.0000e-02 eta: 1 day, 3:42:47 time: 0.9343 data_time: 0.0325 memory: 11089 grad_norm: 4.2353 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7767 loss: 1.7767 2022/08/03 09:54:04 - mmengine - INFO - Epoch(train) [92][1540/1879] lr: 2.0000e-02 eta: 1 day, 3:42:28 time: 0.9108 data_time: 0.0308 memory: 11089 grad_norm: 4.2807 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9071 loss: 1.9071 2022/08/03 09:54:22 - mmengine - INFO - Epoch(train) [92][1560/1879] lr: 2.0000e-02 eta: 1 day, 3:42:10 time: 0.9088 data_time: 0.0248 memory: 11089 grad_norm: 4.2601 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8442 loss: 1.8442 2022/08/03 09:54:40 - mmengine - INFO - Epoch(train) [92][1580/1879] lr: 2.0000e-02 eta: 1 day, 3:41:52 time: 0.9137 data_time: 0.0272 memory: 11089 grad_norm: 4.1998 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8746 loss: 1.8746 2022/08/03 09:54:59 - mmengine - INFO - Epoch(train) [92][1600/1879] lr: 2.0000e-02 eta: 1 day, 3:41:34 time: 0.9240 data_time: 0.0305 memory: 11089 grad_norm: 4.1337 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9423 loss: 1.9423 2022/08/03 09:55:17 - mmengine - INFO - Epoch(train) [92][1620/1879] lr: 2.0000e-02 eta: 1 day, 3:41:15 time: 0.9159 data_time: 0.0231 memory: 11089 grad_norm: 4.2649 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8590 loss: 1.8590 2022/08/03 09:55:36 - mmengine - INFO - Epoch(train) [92][1640/1879] lr: 2.0000e-02 eta: 1 day, 3:40:57 time: 0.9257 data_time: 0.0270 memory: 11089 grad_norm: 4.1142 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9485 loss: 1.9485 2022/08/03 09:55:54 - mmengine - INFO - Epoch(train) [92][1660/1879] lr: 2.0000e-02 eta: 1 day, 3:40:39 time: 0.9053 data_time: 0.0266 memory: 11089 grad_norm: 4.3306 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8430 loss: 1.8430 2022/08/03 09:56:12 - mmengine - INFO - Epoch(train) [92][1680/1879] lr: 2.0000e-02 eta: 1 day, 3:40:21 time: 0.9202 data_time: 0.0291 memory: 11089 grad_norm: 4.3009 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8346 loss: 1.8346 2022/08/03 09:56:30 - mmengine - INFO - Epoch(train) [92][1700/1879] lr: 2.0000e-02 eta: 1 day, 3:40:03 time: 0.9210 data_time: 0.0202 memory: 11089 grad_norm: 4.2061 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7563 loss: 1.7563 2022/08/03 09:56:49 - mmengine - INFO - Epoch(train) [92][1720/1879] lr: 2.0000e-02 eta: 1 day, 3:39:44 time: 0.9020 data_time: 0.0245 memory: 11089 grad_norm: 4.1314 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9012 loss: 1.9012 2022/08/03 09:57:07 - mmengine - INFO - Epoch(train) [92][1740/1879] lr: 2.0000e-02 eta: 1 day, 3:39:26 time: 0.9023 data_time: 0.0265 memory: 11089 grad_norm: 4.3359 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9748 loss: 1.9748 2022/08/03 09:57:25 - mmengine - INFO - Epoch(train) [92][1760/1879] lr: 2.0000e-02 eta: 1 day, 3:39:08 time: 0.9284 data_time: 0.0278 memory: 11089 grad_norm: 4.3046 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9865 loss: 1.9865 2022/08/03 09:57:44 - mmengine - INFO - Epoch(train) [92][1780/1879] lr: 2.0000e-02 eta: 1 day, 3:38:50 time: 0.9316 data_time: 0.0358 memory: 11089 grad_norm: 4.3166 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0097 loss: 2.0097 2022/08/03 09:58:02 - mmengine - INFO - Epoch(train) [92][1800/1879] lr: 2.0000e-02 eta: 1 day, 3:38:32 time: 0.9121 data_time: 0.0293 memory: 11089 grad_norm: 4.3329 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9536 loss: 1.9536 2022/08/03 09:58:21 - mmengine - INFO - Epoch(train) [92][1820/1879] lr: 2.0000e-02 eta: 1 day, 3:38:14 time: 0.9275 data_time: 0.0299 memory: 11089 grad_norm: 4.1945 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0452 loss: 2.0452 2022/08/03 09:58:39 - mmengine - INFO - Epoch(train) [92][1840/1879] lr: 2.0000e-02 eta: 1 day, 3:37:55 time: 0.9048 data_time: 0.0276 memory: 11089 grad_norm: 4.2833 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0708 loss: 2.0708 2022/08/03 09:58:57 - mmengine - INFO - Epoch(train) [92][1860/1879] lr: 2.0000e-02 eta: 1 day, 3:37:37 time: 0.9219 data_time: 0.0305 memory: 11089 grad_norm: 4.1604 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0200 loss: 2.0200 2022/08/03 09:59:14 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 09:59:14 - mmengine - INFO - Epoch(train) [92][1879/1879] lr: 2.0000e-02 eta: 1 day, 3:37:37 time: 0.8990 data_time: 0.0220 memory: 11089 grad_norm: 4.4252 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.9047 loss: 1.9047 2022/08/03 09:59:14 - mmengine - INFO - Saving checkpoint at 92 epochs 2022/08/03 09:59:37 - mmengine - INFO - Epoch(train) [93][20/1879] lr: 2.0000e-02 eta: 1 day, 3:36:52 time: 0.9969 data_time: 0.1126 memory: 11089 grad_norm: 4.2842 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0554 loss: 2.0554 2022/08/03 09:59:56 - mmengine - INFO - Epoch(train) [93][40/1879] lr: 2.0000e-02 eta: 1 day, 3:36:34 time: 0.9147 data_time: 0.0270 memory: 11089 grad_norm: 4.1851 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8597 loss: 1.8597 2022/08/03 10:00:14 - mmengine - INFO - Epoch(train) [93][60/1879] lr: 2.0000e-02 eta: 1 day, 3:36:15 time: 0.9215 data_time: 0.0313 memory: 11089 grad_norm: 4.3005 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9265 loss: 1.9265 2022/08/03 10:00:32 - mmengine - INFO - Epoch(train) [93][80/1879] lr: 2.0000e-02 eta: 1 day, 3:35:57 time: 0.9219 data_time: 0.0317 memory: 11089 grad_norm: 4.2378 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9623 loss: 1.9623 2022/08/03 10:00:51 - mmengine - INFO - Epoch(train) [93][100/1879] lr: 2.0000e-02 eta: 1 day, 3:35:39 time: 0.9182 data_time: 0.0277 memory: 11089 grad_norm: 4.1923 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9795 loss: 1.9795 2022/08/03 10:01:09 - mmengine - INFO - Epoch(train) [93][120/1879] lr: 2.0000e-02 eta: 1 day, 3:35:21 time: 0.9087 data_time: 0.0242 memory: 11089 grad_norm: 4.2731 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9706 loss: 1.9706 2022/08/03 10:01:20 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 10:01:27 - mmengine - INFO - Epoch(train) [93][140/1879] lr: 2.0000e-02 eta: 1 day, 3:35:02 time: 0.9076 data_time: 0.0225 memory: 11089 grad_norm: 4.2872 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9405 loss: 1.9405 2022/08/03 10:01:45 - mmengine - INFO - Epoch(train) [93][160/1879] lr: 2.0000e-02 eta: 1 day, 3:34:44 time: 0.9063 data_time: 0.0274 memory: 11089 grad_norm: 4.1803 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8613 loss: 1.8613 2022/08/03 10:02:03 - mmengine - INFO - Epoch(train) [93][180/1879] lr: 2.0000e-02 eta: 1 day, 3:34:26 time: 0.9103 data_time: 0.0265 memory: 11089 grad_norm: 4.3695 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0337 loss: 2.0337 2022/08/03 10:02:22 - mmengine - INFO - Epoch(train) [93][200/1879] lr: 2.0000e-02 eta: 1 day, 3:34:08 time: 0.9245 data_time: 0.0238 memory: 11089 grad_norm: 4.2028 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7280 loss: 1.7280 2022/08/03 10:02:40 - mmengine - INFO - Epoch(train) [93][220/1879] lr: 2.0000e-02 eta: 1 day, 3:33:49 time: 0.9031 data_time: 0.0255 memory: 11089 grad_norm: 4.1964 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9350 loss: 1.9350 2022/08/03 10:02:58 - mmengine - INFO - Epoch(train) [93][240/1879] lr: 2.0000e-02 eta: 1 day, 3:33:31 time: 0.9143 data_time: 0.0261 memory: 11089 grad_norm: 4.2272 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9020 loss: 1.9020 2022/08/03 10:03:17 - mmengine - INFO - Epoch(train) [93][260/1879] lr: 2.0000e-02 eta: 1 day, 3:33:13 time: 0.9201 data_time: 0.0277 memory: 11089 grad_norm: 4.2507 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7329 loss: 1.7329 2022/08/03 10:03:35 - mmengine - INFO - Epoch(train) [93][280/1879] lr: 2.0000e-02 eta: 1 day, 3:32:55 time: 0.9263 data_time: 0.0245 memory: 11089 grad_norm: 4.2112 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9451 loss: 1.9451 2022/08/03 10:03:53 - mmengine - INFO - Epoch(train) [93][300/1879] lr: 2.0000e-02 eta: 1 day, 3:32:37 time: 0.8965 data_time: 0.0211 memory: 11089 grad_norm: 4.3076 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7363 loss: 1.7363 2022/08/03 10:04:11 - mmengine - INFO - Epoch(train) [93][320/1879] lr: 2.0000e-02 eta: 1 day, 3:32:18 time: 0.9116 data_time: 0.0282 memory: 11089 grad_norm: 4.2443 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8832 loss: 1.8832 2022/08/03 10:04:30 - mmengine - INFO - Epoch(train) [93][340/1879] lr: 2.0000e-02 eta: 1 day, 3:32:00 time: 0.9159 data_time: 0.0215 memory: 11089 grad_norm: 4.3329 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7888 loss: 1.7888 2022/08/03 10:04:48 - mmengine - INFO - Epoch(train) [93][360/1879] lr: 2.0000e-02 eta: 1 day, 3:31:42 time: 0.9208 data_time: 0.0256 memory: 11089 grad_norm: 4.2030 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9232 loss: 1.9232 2022/08/03 10:05:07 - mmengine - INFO - Epoch(train) [93][380/1879] lr: 2.0000e-02 eta: 1 day, 3:31:24 time: 0.9276 data_time: 0.0279 memory: 11089 grad_norm: 4.1688 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7196 loss: 1.7196 2022/08/03 10:05:25 - mmengine - INFO - Epoch(train) [93][400/1879] lr: 2.0000e-02 eta: 1 day, 3:31:06 time: 0.9156 data_time: 0.0301 memory: 11089 grad_norm: 4.2869 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8593 loss: 1.8593 2022/08/03 10:05:43 - mmengine - INFO - Epoch(train) [93][420/1879] lr: 2.0000e-02 eta: 1 day, 3:30:47 time: 0.9107 data_time: 0.0236 memory: 11089 grad_norm: 4.3032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8654 loss: 1.8654 2022/08/03 10:06:02 - mmengine - INFO - Epoch(train) [93][440/1879] lr: 2.0000e-02 eta: 1 day, 3:30:29 time: 0.9310 data_time: 0.0359 memory: 11089 grad_norm: 4.2767 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7351 loss: 1.7351 2022/08/03 10:06:20 - mmengine - INFO - Epoch(train) [93][460/1879] lr: 2.0000e-02 eta: 1 day, 3:30:11 time: 0.9131 data_time: 0.0266 memory: 11089 grad_norm: 4.4048 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9677 loss: 1.9677 2022/08/03 10:06:38 - mmengine - INFO - Epoch(train) [93][480/1879] lr: 2.0000e-02 eta: 1 day, 3:29:53 time: 0.8959 data_time: 0.0252 memory: 11089 grad_norm: 4.2437 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7470 loss: 1.7470 2022/08/03 10:06:56 - mmengine - INFO - Epoch(train) [93][500/1879] lr: 2.0000e-02 eta: 1 day, 3:29:35 time: 0.9173 data_time: 0.0270 memory: 11089 grad_norm: 4.1798 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8097 loss: 1.8097 2022/08/03 10:07:15 - mmengine - INFO - Epoch(train) [93][520/1879] lr: 2.0000e-02 eta: 1 day, 3:29:16 time: 0.9150 data_time: 0.0252 memory: 11089 grad_norm: 4.2074 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0678 loss: 2.0678 2022/08/03 10:07:33 - mmengine - INFO - Epoch(train) [93][540/1879] lr: 2.0000e-02 eta: 1 day, 3:28:58 time: 0.9091 data_time: 0.0251 memory: 11089 grad_norm: 4.2915 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7697 loss: 1.7697 2022/08/03 10:07:52 - mmengine - INFO - Epoch(train) [93][560/1879] lr: 2.0000e-02 eta: 1 day, 3:28:40 time: 0.9312 data_time: 0.0295 memory: 11089 grad_norm: 4.2670 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6427 loss: 1.6427 2022/08/03 10:08:10 - mmengine - INFO - Epoch(train) [93][580/1879] lr: 2.0000e-02 eta: 1 day, 3:28:22 time: 0.9099 data_time: 0.0251 memory: 11089 grad_norm: 4.3277 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0494 loss: 2.0494 2022/08/03 10:08:28 - mmengine - INFO - Epoch(train) [93][600/1879] lr: 2.0000e-02 eta: 1 day, 3:28:03 time: 0.9110 data_time: 0.0207 memory: 11089 grad_norm: 4.2253 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7054 loss: 1.7054 2022/08/03 10:08:46 - mmengine - INFO - Epoch(train) [93][620/1879] lr: 2.0000e-02 eta: 1 day, 3:27:45 time: 0.9193 data_time: 0.0265 memory: 11089 grad_norm: 4.2124 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9340 loss: 1.9340 2022/08/03 10:09:05 - mmengine - INFO - Epoch(train) [93][640/1879] lr: 2.0000e-02 eta: 1 day, 3:27:27 time: 0.9226 data_time: 0.0272 memory: 11089 grad_norm: 4.3093 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9148 loss: 1.9148 2022/08/03 10:09:23 - mmengine - INFO - Epoch(train) [93][660/1879] lr: 2.0000e-02 eta: 1 day, 3:27:09 time: 0.9168 data_time: 0.0254 memory: 11089 grad_norm: 4.1782 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8128 loss: 1.8128 2022/08/03 10:09:42 - mmengine - INFO - Epoch(train) [93][680/1879] lr: 2.0000e-02 eta: 1 day, 3:26:51 time: 0.9417 data_time: 0.0208 memory: 11089 grad_norm: 4.2479 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0633 loss: 2.0633 2022/08/03 10:10:00 - mmengine - INFO - Epoch(train) [93][700/1879] lr: 2.0000e-02 eta: 1 day, 3:26:33 time: 0.9065 data_time: 0.0249 memory: 11089 grad_norm: 4.3079 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8368 loss: 1.8368 2022/08/03 10:10:19 - mmengine - INFO - Epoch(train) [93][720/1879] lr: 2.0000e-02 eta: 1 day, 3:26:15 time: 0.9210 data_time: 0.0278 memory: 11089 grad_norm: 4.2314 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8568 loss: 1.8568 2022/08/03 10:10:37 - mmengine - INFO - Epoch(train) [93][740/1879] lr: 2.0000e-02 eta: 1 day, 3:25:57 time: 0.9417 data_time: 0.0334 memory: 11089 grad_norm: 4.2289 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9189 loss: 1.9189 2022/08/03 10:10:56 - mmengine - INFO - Epoch(train) [93][760/1879] lr: 2.0000e-02 eta: 1 day, 3:25:39 time: 0.9254 data_time: 0.0249 memory: 11089 grad_norm: 4.2253 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0348 loss: 2.0348 2022/08/03 10:11:14 - mmengine - INFO - Epoch(train) [93][780/1879] lr: 2.0000e-02 eta: 1 day, 3:25:20 time: 0.9149 data_time: 0.0261 memory: 11089 grad_norm: 4.2556 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0583 loss: 2.0583 2022/08/03 10:11:32 - mmengine - INFO - Epoch(train) [93][800/1879] lr: 2.0000e-02 eta: 1 day, 3:25:02 time: 0.9111 data_time: 0.0210 memory: 11089 grad_norm: 4.2946 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8812 loss: 1.8812 2022/08/03 10:11:51 - mmengine - INFO - Epoch(train) [93][820/1879] lr: 2.0000e-02 eta: 1 day, 3:24:44 time: 0.9065 data_time: 0.0344 memory: 11089 grad_norm: 4.3121 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1465 loss: 2.1465 2022/08/03 10:12:09 - mmengine - INFO - Epoch(train) [93][840/1879] lr: 2.0000e-02 eta: 1 day, 3:24:26 time: 0.9193 data_time: 0.0196 memory: 11089 grad_norm: 4.2183 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1115 loss: 2.1115 2022/08/03 10:12:27 - mmengine - INFO - Epoch(train) [93][860/1879] lr: 2.0000e-02 eta: 1 day, 3:24:07 time: 0.9010 data_time: 0.0243 memory: 11089 grad_norm: 4.2851 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7210 loss: 1.7210 2022/08/03 10:12:45 - mmengine - INFO - Epoch(train) [93][880/1879] lr: 2.0000e-02 eta: 1 day, 3:23:49 time: 0.9165 data_time: 0.0237 memory: 11089 grad_norm: 4.3031 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7568 loss: 1.7568 2022/08/03 10:13:04 - mmengine - INFO - Epoch(train) [93][900/1879] lr: 2.0000e-02 eta: 1 day, 3:23:31 time: 0.9293 data_time: 0.0270 memory: 11089 grad_norm: 4.1567 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9343 loss: 1.9343 2022/08/03 10:13:22 - mmengine - INFO - Epoch(train) [93][920/1879] lr: 2.0000e-02 eta: 1 day, 3:23:13 time: 0.9254 data_time: 0.0286 memory: 11089 grad_norm: 4.2328 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0270 loss: 2.0270 2022/08/03 10:13:41 - mmengine - INFO - Epoch(train) [93][940/1879] lr: 2.0000e-02 eta: 1 day, 3:22:55 time: 0.9191 data_time: 0.0269 memory: 11089 grad_norm: 4.1706 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7217 loss: 1.7217 2022/08/03 10:14:00 - mmengine - INFO - Epoch(train) [93][960/1879] lr: 2.0000e-02 eta: 1 day, 3:22:37 time: 0.9369 data_time: 0.0308 memory: 11089 grad_norm: 4.2674 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1512 loss: 2.1512 2022/08/03 10:14:18 - mmengine - INFO - Epoch(train) [93][980/1879] lr: 2.0000e-02 eta: 1 day, 3:22:19 time: 0.9177 data_time: 0.0306 memory: 11089 grad_norm: 4.0568 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8012 loss: 1.8012 2022/08/03 10:14:36 - mmengine - INFO - Epoch(train) [93][1000/1879] lr: 2.0000e-02 eta: 1 day, 3:22:00 time: 0.9156 data_time: 0.0256 memory: 11089 grad_norm: 4.1678 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7410 loss: 1.7410 2022/08/03 10:14:55 - mmengine - INFO - Epoch(train) [93][1020/1879] lr: 2.0000e-02 eta: 1 day, 3:21:42 time: 0.9301 data_time: 0.0262 memory: 11089 grad_norm: 4.2703 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8586 loss: 1.8586 2022/08/03 10:15:13 - mmengine - INFO - Epoch(train) [93][1040/1879] lr: 2.0000e-02 eta: 1 day, 3:21:24 time: 0.9113 data_time: 0.0290 memory: 11089 grad_norm: 4.2935 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0690 loss: 2.0690 2022/08/03 10:15:31 - mmengine - INFO - Epoch(train) [93][1060/1879] lr: 2.0000e-02 eta: 1 day, 3:21:06 time: 0.8807 data_time: 0.0195 memory: 11089 grad_norm: 4.3877 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0639 loss: 2.0639 2022/08/03 10:15:49 - mmengine - INFO - Epoch(train) [93][1080/1879] lr: 2.0000e-02 eta: 1 day, 3:20:47 time: 0.9244 data_time: 0.0251 memory: 11089 grad_norm: 4.0824 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9146 loss: 1.9146 2022/08/03 10:16:07 - mmengine - INFO - Epoch(train) [93][1100/1879] lr: 2.0000e-02 eta: 1 day, 3:20:29 time: 0.9131 data_time: 0.0230 memory: 11089 grad_norm: 4.1733 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0131 loss: 2.0131 2022/08/03 10:16:26 - mmengine - INFO - Epoch(train) [93][1120/1879] lr: 2.0000e-02 eta: 1 day, 3:20:11 time: 0.9270 data_time: 0.0266 memory: 11089 grad_norm: 4.2797 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8956 loss: 1.8956 2022/08/03 10:16:37 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 10:16:44 - mmengine - INFO - Epoch(train) [93][1140/1879] lr: 2.0000e-02 eta: 1 day, 3:19:53 time: 0.9100 data_time: 0.0247 memory: 11089 grad_norm: 4.1868 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9397 loss: 1.9397 2022/08/03 10:17:02 - mmengine - INFO - Epoch(train) [93][1160/1879] lr: 2.0000e-02 eta: 1 day, 3:19:34 time: 0.8985 data_time: 0.0225 memory: 11089 grad_norm: 4.2639 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9292 loss: 1.9292 2022/08/03 10:17:21 - mmengine - INFO - Epoch(train) [93][1180/1879] lr: 2.0000e-02 eta: 1 day, 3:19:17 time: 0.9401 data_time: 0.0277 memory: 11089 grad_norm: 4.2728 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8171 loss: 1.8171 2022/08/03 10:17:39 - mmengine - INFO - Epoch(train) [93][1200/1879] lr: 2.0000e-02 eta: 1 day, 3:18:58 time: 0.9172 data_time: 0.0274 memory: 11089 grad_norm: 4.3305 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7724 loss: 1.7724 2022/08/03 10:17:57 - mmengine - INFO - Epoch(train) [93][1220/1879] lr: 2.0000e-02 eta: 1 day, 3:18:40 time: 0.9041 data_time: 0.0237 memory: 11089 grad_norm: 4.2949 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9442 loss: 1.9442 2022/08/03 10:18:16 - mmengine - INFO - Epoch(train) [93][1240/1879] lr: 2.0000e-02 eta: 1 day, 3:18:22 time: 0.9215 data_time: 0.0254 memory: 11089 grad_norm: 4.3213 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7682 loss: 1.7682 2022/08/03 10:18:34 - mmengine - INFO - Epoch(train) [93][1260/1879] lr: 2.0000e-02 eta: 1 day, 3:18:04 time: 0.9229 data_time: 0.0389 memory: 11089 grad_norm: 4.2302 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1317 loss: 2.1317 2022/08/03 10:18:52 - mmengine - INFO - Epoch(train) [93][1280/1879] lr: 2.0000e-02 eta: 1 day, 3:17:45 time: 0.9008 data_time: 0.0257 memory: 11089 grad_norm: 4.3176 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7829 loss: 1.7829 2022/08/03 10:19:11 - mmengine - INFO - Epoch(train) [93][1300/1879] lr: 2.0000e-02 eta: 1 day, 3:17:27 time: 0.9249 data_time: 0.0245 memory: 11089 grad_norm: 4.3246 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7983 loss: 1.7983 2022/08/03 10:19:29 - mmengine - INFO - Epoch(train) [93][1320/1879] lr: 2.0000e-02 eta: 1 day, 3:17:09 time: 0.8861 data_time: 0.0274 memory: 11089 grad_norm: 4.1614 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9239 loss: 1.9239 2022/08/03 10:19:47 - mmengine - INFO - Epoch(train) [93][1340/1879] lr: 2.0000e-02 eta: 1 day, 3:16:51 time: 0.9354 data_time: 0.0248 memory: 11089 grad_norm: 4.1758 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7541 loss: 1.7541 2022/08/03 10:20:05 - mmengine - INFO - Epoch(train) [93][1360/1879] lr: 2.0000e-02 eta: 1 day, 3:16:32 time: 0.9050 data_time: 0.0214 memory: 11089 grad_norm: 4.2668 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7819 loss: 1.7819 2022/08/03 10:20:24 - mmengine - INFO - Epoch(train) [93][1380/1879] lr: 2.0000e-02 eta: 1 day, 3:16:14 time: 0.9067 data_time: 0.0234 memory: 11089 grad_norm: 4.2512 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9406 loss: 1.9406 2022/08/03 10:20:42 - mmengine - INFO - Epoch(train) [93][1400/1879] lr: 2.0000e-02 eta: 1 day, 3:15:56 time: 0.9151 data_time: 0.0255 memory: 11089 grad_norm: 4.3369 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9280 loss: 1.9280 2022/08/03 10:21:00 - mmengine - INFO - Epoch(train) [93][1420/1879] lr: 2.0000e-02 eta: 1 day, 3:15:38 time: 0.9071 data_time: 0.0263 memory: 11089 grad_norm: 4.2254 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1150 loss: 2.1150 2022/08/03 10:21:18 - mmengine - INFO - Epoch(train) [93][1440/1879] lr: 2.0000e-02 eta: 1 day, 3:15:19 time: 0.9244 data_time: 0.0307 memory: 11089 grad_norm: 4.2366 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0567 loss: 2.0567 2022/08/03 10:21:37 - mmengine - INFO - Epoch(train) [93][1460/1879] lr: 2.0000e-02 eta: 1 day, 3:15:01 time: 0.9264 data_time: 0.0332 memory: 11089 grad_norm: 4.2271 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7169 loss: 1.7169 2022/08/03 10:21:56 - mmengine - INFO - Epoch(train) [93][1480/1879] lr: 2.0000e-02 eta: 1 day, 3:14:43 time: 0.9276 data_time: 0.0324 memory: 11089 grad_norm: 4.2688 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7238 loss: 1.7238 2022/08/03 10:22:13 - mmengine - INFO - Epoch(train) [93][1500/1879] lr: 2.0000e-02 eta: 1 day, 3:14:25 time: 0.8947 data_time: 0.0276 memory: 11089 grad_norm: 4.3622 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9070 loss: 1.9070 2022/08/03 10:22:32 - mmengine - INFO - Epoch(train) [93][1520/1879] lr: 2.0000e-02 eta: 1 day, 3:14:07 time: 0.9400 data_time: 0.0255 memory: 11089 grad_norm: 4.3270 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9357 loss: 1.9357 2022/08/03 10:22:51 - mmengine - INFO - Epoch(train) [93][1540/1879] lr: 2.0000e-02 eta: 1 day, 3:13:49 time: 0.9158 data_time: 0.0273 memory: 11089 grad_norm: 4.2187 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7884 loss: 1.7884 2022/08/03 10:23:09 - mmengine - INFO - Epoch(train) [93][1560/1879] lr: 2.0000e-02 eta: 1 day, 3:13:31 time: 0.9169 data_time: 0.0290 memory: 11089 grad_norm: 4.2981 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9088 loss: 1.9088 2022/08/03 10:23:27 - mmengine - INFO - Epoch(train) [93][1580/1879] lr: 2.0000e-02 eta: 1 day, 3:13:12 time: 0.9188 data_time: 0.0214 memory: 11089 grad_norm: 4.2367 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1364 loss: 2.1364 2022/08/03 10:23:46 - mmengine - INFO - Epoch(train) [93][1600/1879] lr: 2.0000e-02 eta: 1 day, 3:12:54 time: 0.9230 data_time: 0.0265 memory: 11089 grad_norm: 4.2862 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9918 loss: 1.9918 2022/08/03 10:24:04 - mmengine - INFO - Epoch(train) [93][1620/1879] lr: 2.0000e-02 eta: 1 day, 3:12:36 time: 0.9140 data_time: 0.0204 memory: 11089 grad_norm: 4.2272 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7273 loss: 1.7273 2022/08/03 10:24:22 - mmengine - INFO - Epoch(train) [93][1640/1879] lr: 2.0000e-02 eta: 1 day, 3:12:18 time: 0.9195 data_time: 0.0267 memory: 11089 grad_norm: 4.2805 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7684 loss: 1.7684 2022/08/03 10:24:41 - mmengine - INFO - Epoch(train) [93][1660/1879] lr: 2.0000e-02 eta: 1 day, 3:12:00 time: 0.9204 data_time: 0.0217 memory: 11089 grad_norm: 4.2586 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7769 loss: 1.7769 2022/08/03 10:24:59 - mmengine - INFO - Epoch(train) [93][1680/1879] lr: 2.0000e-02 eta: 1 day, 3:11:42 time: 0.9149 data_time: 0.0240 memory: 11089 grad_norm: 4.2574 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8841 loss: 1.8841 2022/08/03 10:25:18 - mmengine - INFO - Epoch(train) [93][1700/1879] lr: 2.0000e-02 eta: 1 day, 3:11:23 time: 0.9282 data_time: 0.0310 memory: 11089 grad_norm: 4.2334 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9690 loss: 1.9690 2022/08/03 10:25:36 - mmengine - INFO - Epoch(train) [93][1720/1879] lr: 2.0000e-02 eta: 1 day, 3:11:05 time: 0.9040 data_time: 0.0222 memory: 11089 grad_norm: 4.3114 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0362 loss: 2.0362 2022/08/03 10:25:54 - mmengine - INFO - Epoch(train) [93][1740/1879] lr: 2.0000e-02 eta: 1 day, 3:10:47 time: 0.9097 data_time: 0.0272 memory: 11089 grad_norm: 4.2368 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7985 loss: 1.7985 2022/08/03 10:26:12 - mmengine - INFO - Epoch(train) [93][1760/1879] lr: 2.0000e-02 eta: 1 day, 3:10:28 time: 0.8970 data_time: 0.0227 memory: 11089 grad_norm: 4.1732 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6817 loss: 1.6817 2022/08/03 10:26:30 - mmengine - INFO - Epoch(train) [93][1780/1879] lr: 2.0000e-02 eta: 1 day, 3:10:10 time: 0.9129 data_time: 0.0235 memory: 11089 grad_norm: 4.3007 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0719 loss: 2.0719 2022/08/03 10:26:49 - mmengine - INFO - Epoch(train) [93][1800/1879] lr: 2.0000e-02 eta: 1 day, 3:09:52 time: 0.9423 data_time: 0.0301 memory: 11089 grad_norm: 4.2681 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0461 loss: 2.0461 2022/08/03 10:27:08 - mmengine - INFO - Epoch(train) [93][1820/1879] lr: 2.0000e-02 eta: 1 day, 3:09:34 time: 0.9378 data_time: 0.0267 memory: 11089 grad_norm: 4.1697 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8647 loss: 1.8647 2022/08/03 10:27:26 - mmengine - INFO - Epoch(train) [93][1840/1879] lr: 2.0000e-02 eta: 1 day, 3:09:16 time: 0.9296 data_time: 0.0251 memory: 11089 grad_norm: 4.1982 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9365 loss: 1.9365 2022/08/03 10:27:45 - mmengine - INFO - Epoch(train) [93][1860/1879] lr: 2.0000e-02 eta: 1 day, 3:08:58 time: 0.9178 data_time: 0.0284 memory: 11089 grad_norm: 4.3056 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9158 loss: 1.9158 2022/08/03 10:28:02 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 10:28:02 - mmengine - INFO - Epoch(train) [93][1879/1879] lr: 2.0000e-02 eta: 1 day, 3:08:58 time: 0.8895 data_time: 0.0279 memory: 11089 grad_norm: 4.3854 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.1059 loss: 2.1059 2022/08/03 10:28:22 - mmengine - INFO - Epoch(train) [94][20/1879] lr: 2.0000e-02 eta: 1 day, 3:08:13 time: 0.9888 data_time: 0.0984 memory: 11089 grad_norm: 4.3007 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.8267 loss: 1.8267 2022/08/03 10:28:40 - mmengine - INFO - Epoch(train) [94][40/1879] lr: 2.0000e-02 eta: 1 day, 3:07:55 time: 0.9308 data_time: 0.0300 memory: 11089 grad_norm: 4.2362 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0795 loss: 2.0795 2022/08/03 10:28:59 - mmengine - INFO - Epoch(train) [94][60/1879] lr: 2.0000e-02 eta: 1 day, 3:07:37 time: 0.9258 data_time: 0.0334 memory: 11089 grad_norm: 4.1869 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8012 loss: 1.8012 2022/08/03 10:29:17 - mmengine - INFO - Epoch(train) [94][80/1879] lr: 2.0000e-02 eta: 1 day, 3:07:19 time: 0.9181 data_time: 0.0256 memory: 11089 grad_norm: 4.1493 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8341 loss: 1.8341 2022/08/03 10:29:35 - mmengine - INFO - Epoch(train) [94][100/1879] lr: 2.0000e-02 eta: 1 day, 3:07:00 time: 0.9141 data_time: 0.0261 memory: 11089 grad_norm: 4.2065 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8594 loss: 1.8594 2022/08/03 10:29:54 - mmengine - INFO - Epoch(train) [94][120/1879] lr: 2.0000e-02 eta: 1 day, 3:06:42 time: 0.9088 data_time: 0.0238 memory: 11089 grad_norm: 4.1527 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8130 loss: 1.8130 2022/08/03 10:30:12 - mmengine - INFO - Epoch(train) [94][140/1879] lr: 2.0000e-02 eta: 1 day, 3:06:24 time: 0.9354 data_time: 0.0335 memory: 11089 grad_norm: 4.3459 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7799 loss: 1.7799 2022/08/03 10:30:31 - mmengine - INFO - Epoch(train) [94][160/1879] lr: 2.0000e-02 eta: 1 day, 3:06:06 time: 0.9181 data_time: 0.0339 memory: 11089 grad_norm: 4.2118 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8541 loss: 1.8541 2022/08/03 10:30:49 - mmengine - INFO - Epoch(train) [94][180/1879] lr: 2.0000e-02 eta: 1 day, 3:05:48 time: 0.9148 data_time: 0.0238 memory: 11089 grad_norm: 4.2393 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8422 loss: 1.8422 2022/08/03 10:31:08 - mmengine - INFO - Epoch(train) [94][200/1879] lr: 2.0000e-02 eta: 1 day, 3:05:30 time: 0.9334 data_time: 0.0284 memory: 11089 grad_norm: 4.1518 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9653 loss: 1.9653 2022/08/03 10:31:26 - mmengine - INFO - Epoch(train) [94][220/1879] lr: 2.0000e-02 eta: 1 day, 3:05:12 time: 0.9211 data_time: 0.0239 memory: 11089 grad_norm: 4.0361 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8326 loss: 1.8326 2022/08/03 10:31:44 - mmengine - INFO - Epoch(train) [94][240/1879] lr: 2.0000e-02 eta: 1 day, 3:04:53 time: 0.9156 data_time: 0.0226 memory: 11089 grad_norm: 4.2208 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9151 loss: 1.9151 2022/08/03 10:31:56 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 10:32:03 - mmengine - INFO - Epoch(train) [94][260/1879] lr: 2.0000e-02 eta: 1 day, 3:04:35 time: 0.9143 data_time: 0.0245 memory: 11089 grad_norm: 4.3056 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8795 loss: 1.8795 2022/08/03 10:32:21 - mmengine - INFO - Epoch(train) [94][280/1879] lr: 2.0000e-02 eta: 1 day, 3:04:17 time: 0.9249 data_time: 0.0243 memory: 11089 grad_norm: 4.3762 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8402 loss: 1.8402 2022/08/03 10:32:39 - mmengine - INFO - Epoch(train) [94][300/1879] lr: 2.0000e-02 eta: 1 day, 3:03:59 time: 0.9097 data_time: 0.0281 memory: 11089 grad_norm: 4.2648 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9066 loss: 1.9066 2022/08/03 10:32:58 - mmengine - INFO - Epoch(train) [94][320/1879] lr: 2.0000e-02 eta: 1 day, 3:03:41 time: 0.9204 data_time: 0.0293 memory: 11089 grad_norm: 4.2602 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9534 loss: 1.9534 2022/08/03 10:33:16 - mmengine - INFO - Epoch(train) [94][340/1879] lr: 2.0000e-02 eta: 1 day, 3:03:22 time: 0.9148 data_time: 0.0249 memory: 11089 grad_norm: 4.3137 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7420 loss: 1.7420 2022/08/03 10:33:35 - mmengine - INFO - Epoch(train) [94][360/1879] lr: 2.0000e-02 eta: 1 day, 3:03:04 time: 0.9264 data_time: 0.0338 memory: 11089 grad_norm: 4.2596 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8509 loss: 1.8509 2022/08/03 10:33:53 - mmengine - INFO - Epoch(train) [94][380/1879] lr: 2.0000e-02 eta: 1 day, 3:02:46 time: 0.9289 data_time: 0.0272 memory: 11089 grad_norm: 4.1801 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0377 loss: 2.0377 2022/08/03 10:34:12 - mmengine - INFO - Epoch(train) [94][400/1879] lr: 2.0000e-02 eta: 1 day, 3:02:28 time: 0.9273 data_time: 0.0318 memory: 11089 grad_norm: 4.2195 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6924 loss: 1.6924 2022/08/03 10:34:30 - mmengine - INFO - Epoch(train) [94][420/1879] lr: 2.0000e-02 eta: 1 day, 3:02:10 time: 0.9238 data_time: 0.0284 memory: 11089 grad_norm: 4.2715 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7792 loss: 1.7792 2022/08/03 10:34:49 - mmengine - INFO - Epoch(train) [94][440/1879] lr: 2.0000e-02 eta: 1 day, 3:01:52 time: 0.9187 data_time: 0.0284 memory: 11089 grad_norm: 4.2830 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0083 loss: 2.0083 2022/08/03 10:35:07 - mmengine - INFO - Epoch(train) [94][460/1879] lr: 2.0000e-02 eta: 1 day, 3:01:34 time: 0.9204 data_time: 0.0253 memory: 11089 grad_norm: 4.2945 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9353 loss: 1.9353 2022/08/03 10:35:26 - mmengine - INFO - Epoch(train) [94][480/1879] lr: 2.0000e-02 eta: 1 day, 3:01:16 time: 0.9352 data_time: 0.0323 memory: 11089 grad_norm: 4.1633 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6819 loss: 1.6819 2022/08/03 10:35:44 - mmengine - INFO - Epoch(train) [94][500/1879] lr: 2.0000e-02 eta: 1 day, 3:00:58 time: 0.9279 data_time: 0.0299 memory: 11089 grad_norm: 4.2218 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8734 loss: 1.8734 2022/08/03 10:36:03 - mmengine - INFO - Epoch(train) [94][520/1879] lr: 2.0000e-02 eta: 1 day, 3:00:40 time: 0.9158 data_time: 0.0274 memory: 11089 grad_norm: 4.1984 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8946 loss: 1.8946 2022/08/03 10:36:21 - mmengine - INFO - Epoch(train) [94][540/1879] lr: 2.0000e-02 eta: 1 day, 3:00:21 time: 0.9129 data_time: 0.0245 memory: 11089 grad_norm: 4.3571 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.8354 loss: 1.8354 2022/08/03 10:36:39 - mmengine - INFO - Epoch(train) [94][560/1879] lr: 2.0000e-02 eta: 1 day, 3:00:03 time: 0.9311 data_time: 0.0316 memory: 11089 grad_norm: 4.2760 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9919 loss: 1.9919 2022/08/03 10:36:58 - mmengine - INFO - Epoch(train) [94][580/1879] lr: 2.0000e-02 eta: 1 day, 2:59:45 time: 0.9156 data_time: 0.0228 memory: 11089 grad_norm: 4.2143 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9057 loss: 1.9057 2022/08/03 10:37:16 - mmengine - INFO - Epoch(train) [94][600/1879] lr: 2.0000e-02 eta: 1 day, 2:59:27 time: 0.9243 data_time: 0.0266 memory: 11089 grad_norm: 4.3430 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0128 loss: 2.0128 2022/08/03 10:37:35 - mmengine - INFO - Epoch(train) [94][620/1879] lr: 2.0000e-02 eta: 1 day, 2:59:09 time: 0.9192 data_time: 0.0314 memory: 11089 grad_norm: 4.2506 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0810 loss: 2.0810 2022/08/03 10:37:53 - mmengine - INFO - Epoch(train) [94][640/1879] lr: 2.0000e-02 eta: 1 day, 2:58:51 time: 0.9172 data_time: 0.0198 memory: 11089 grad_norm: 4.2574 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9378 loss: 1.9378 2022/08/03 10:38:11 - mmengine - INFO - Epoch(train) [94][660/1879] lr: 2.0000e-02 eta: 1 day, 2:58:32 time: 0.9049 data_time: 0.0292 memory: 11089 grad_norm: 4.3270 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9253 loss: 1.9253 2022/08/03 10:38:29 - mmengine - INFO - Epoch(train) [94][680/1879] lr: 2.0000e-02 eta: 1 day, 2:58:14 time: 0.9065 data_time: 0.0259 memory: 11089 grad_norm: 4.2048 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7365 loss: 1.7365 2022/08/03 10:38:48 - mmengine - INFO - Epoch(train) [94][700/1879] lr: 2.0000e-02 eta: 1 day, 2:57:56 time: 0.9273 data_time: 0.0213 memory: 11089 grad_norm: 4.3753 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9575 loss: 1.9575 2022/08/03 10:39:06 - mmengine - INFO - Epoch(train) [94][720/1879] lr: 2.0000e-02 eta: 1 day, 2:57:38 time: 0.9142 data_time: 0.0268 memory: 11089 grad_norm: 4.3127 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9417 loss: 1.9417 2022/08/03 10:39:24 - mmengine - INFO - Epoch(train) [94][740/1879] lr: 2.0000e-02 eta: 1 day, 2:57:19 time: 0.9017 data_time: 0.0254 memory: 11089 grad_norm: 4.1808 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9792 loss: 1.9792 2022/08/03 10:39:42 - mmengine - INFO - Epoch(train) [94][760/1879] lr: 2.0000e-02 eta: 1 day, 2:57:01 time: 0.9080 data_time: 0.0257 memory: 11089 grad_norm: 4.2523 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7793 loss: 1.7793 2022/08/03 10:40:01 - mmengine - INFO - Epoch(train) [94][780/1879] lr: 2.0000e-02 eta: 1 day, 2:56:43 time: 0.9192 data_time: 0.0302 memory: 11089 grad_norm: 4.1976 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0226 loss: 2.0226 2022/08/03 10:40:19 - mmengine - INFO - Epoch(train) [94][800/1879] lr: 2.0000e-02 eta: 1 day, 2:56:25 time: 0.9260 data_time: 0.0300 memory: 11089 grad_norm: 4.3047 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9415 loss: 1.9415 2022/08/03 10:40:38 - mmengine - INFO - Epoch(train) [94][820/1879] lr: 2.0000e-02 eta: 1 day, 2:56:07 time: 0.9169 data_time: 0.0304 memory: 11089 grad_norm: 4.4380 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9737 loss: 1.9737 2022/08/03 10:40:56 - mmengine - INFO - Epoch(train) [94][840/1879] lr: 2.0000e-02 eta: 1 day, 2:55:48 time: 0.9094 data_time: 0.0296 memory: 11089 grad_norm: 4.3792 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.1029 loss: 2.1029 2022/08/03 10:41:14 - mmengine - INFO - Epoch(train) [94][860/1879] lr: 2.0000e-02 eta: 1 day, 2:55:30 time: 0.9137 data_time: 0.0259 memory: 11089 grad_norm: 4.2597 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0323 loss: 2.0323 2022/08/03 10:41:33 - mmengine - INFO - Epoch(train) [94][880/1879] lr: 2.0000e-02 eta: 1 day, 2:55:12 time: 0.9361 data_time: 0.0307 memory: 11089 grad_norm: 4.2952 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0707 loss: 2.0707 2022/08/03 10:41:51 - mmengine - INFO - Epoch(train) [94][900/1879] lr: 2.0000e-02 eta: 1 day, 2:54:54 time: 0.9098 data_time: 0.0320 memory: 11089 grad_norm: 4.2542 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8792 loss: 1.8792 2022/08/03 10:42:09 - mmengine - INFO - Epoch(train) [94][920/1879] lr: 2.0000e-02 eta: 1 day, 2:54:36 time: 0.9155 data_time: 0.0285 memory: 11089 grad_norm: 4.1606 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9033 loss: 1.9033 2022/08/03 10:42:28 - mmengine - INFO - Epoch(train) [94][940/1879] lr: 2.0000e-02 eta: 1 day, 2:54:17 time: 0.9195 data_time: 0.0332 memory: 11089 grad_norm: 4.2103 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0907 loss: 2.0907 2022/08/03 10:42:46 - mmengine - INFO - Epoch(train) [94][960/1879] lr: 2.0000e-02 eta: 1 day, 2:53:59 time: 0.9088 data_time: 0.0241 memory: 11089 grad_norm: 4.2534 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9159 loss: 1.9159 2022/08/03 10:43:04 - mmengine - INFO - Epoch(train) [94][980/1879] lr: 2.0000e-02 eta: 1 day, 2:53:41 time: 0.9110 data_time: 0.0317 memory: 11089 grad_norm: 4.3989 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9076 loss: 1.9076 2022/08/03 10:43:22 - mmengine - INFO - Epoch(train) [94][1000/1879] lr: 2.0000e-02 eta: 1 day, 2:53:23 time: 0.9055 data_time: 0.0286 memory: 11089 grad_norm: 4.3196 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8558 loss: 1.8558 2022/08/03 10:43:40 - mmengine - INFO - Epoch(train) [94][1020/1879] lr: 2.0000e-02 eta: 1 day, 2:53:04 time: 0.8899 data_time: 0.0221 memory: 11089 grad_norm: 4.1965 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8832 loss: 1.8832 2022/08/03 10:43:58 - mmengine - INFO - Epoch(train) [94][1040/1879] lr: 2.0000e-02 eta: 1 day, 2:52:46 time: 0.9087 data_time: 0.0247 memory: 11089 grad_norm: 4.2107 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.9500 loss: 1.9500 2022/08/03 10:44:16 - mmengine - INFO - Epoch(train) [94][1060/1879] lr: 2.0000e-02 eta: 1 day, 2:52:28 time: 0.9179 data_time: 0.0225 memory: 11089 grad_norm: 4.2880 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6371 loss: 1.6371 2022/08/03 10:44:35 - mmengine - INFO - Epoch(train) [94][1080/1879] lr: 2.0000e-02 eta: 1 day, 2:52:10 time: 0.9297 data_time: 0.0298 memory: 11089 grad_norm: 4.3621 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9142 loss: 1.9142 2022/08/03 10:44:53 - mmengine - INFO - Epoch(train) [94][1100/1879] lr: 2.0000e-02 eta: 1 day, 2:51:51 time: 0.9038 data_time: 0.0231 memory: 11089 grad_norm: 4.1198 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9088 loss: 1.9088 2022/08/03 10:45:11 - mmengine - INFO - Epoch(train) [94][1120/1879] lr: 2.0000e-02 eta: 1 day, 2:51:33 time: 0.9098 data_time: 0.0249 memory: 11089 grad_norm: 4.2428 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0282 loss: 2.0282 2022/08/03 10:45:30 - mmengine - INFO - Epoch(train) [94][1140/1879] lr: 2.0000e-02 eta: 1 day, 2:51:15 time: 0.9084 data_time: 0.0207 memory: 11089 grad_norm: 4.2307 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9080 loss: 1.9080 2022/08/03 10:45:47 - mmengine - INFO - Epoch(train) [94][1160/1879] lr: 2.0000e-02 eta: 1 day, 2:50:56 time: 0.8970 data_time: 0.0231 memory: 11089 grad_norm: 4.2068 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9152 loss: 1.9152 2022/08/03 10:46:06 - mmengine - INFO - Epoch(train) [94][1180/1879] lr: 2.0000e-02 eta: 1 day, 2:50:38 time: 0.9171 data_time: 0.0245 memory: 11089 grad_norm: 4.1105 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8990 loss: 1.8990 2022/08/03 10:46:24 - mmengine - INFO - Epoch(train) [94][1200/1879] lr: 2.0000e-02 eta: 1 day, 2:50:20 time: 0.9118 data_time: 0.0284 memory: 11089 grad_norm: 4.2811 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0866 loss: 2.0866 2022/08/03 10:46:43 - mmengine - INFO - Epoch(train) [94][1220/1879] lr: 2.0000e-02 eta: 1 day, 2:50:02 time: 0.9230 data_time: 0.0231 memory: 11089 grad_norm: 4.2146 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8027 loss: 1.8027 2022/08/03 10:47:01 - mmengine - INFO - Epoch(train) [94][1240/1879] lr: 2.0000e-02 eta: 1 day, 2:49:44 time: 0.9457 data_time: 0.0297 memory: 11089 grad_norm: 4.2387 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6865 loss: 1.6865 2022/08/03 10:47:13 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 10:47:20 - mmengine - INFO - Epoch(train) [94][1260/1879] lr: 2.0000e-02 eta: 1 day, 2:49:26 time: 0.9157 data_time: 0.0273 memory: 11089 grad_norm: 4.3186 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9635 loss: 1.9635 2022/08/03 10:47:38 - mmengine - INFO - Epoch(train) [94][1280/1879] lr: 2.0000e-02 eta: 1 day, 2:49:07 time: 0.9076 data_time: 0.0239 memory: 11089 grad_norm: 4.2722 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8834 loss: 1.8834 2022/08/03 10:47:56 - mmengine - INFO - Epoch(train) [94][1300/1879] lr: 2.0000e-02 eta: 1 day, 2:48:49 time: 0.9208 data_time: 0.0248 memory: 11089 grad_norm: 4.1601 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7362 loss: 1.7362 2022/08/03 10:48:14 - mmengine - INFO - Epoch(train) [94][1320/1879] lr: 2.0000e-02 eta: 1 day, 2:48:31 time: 0.9075 data_time: 0.0259 memory: 11089 grad_norm: 4.2442 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0523 loss: 2.0523 2022/08/03 10:48:33 - mmengine - INFO - Epoch(train) [94][1340/1879] lr: 2.0000e-02 eta: 1 day, 2:48:12 time: 0.9050 data_time: 0.0260 memory: 11089 grad_norm: 4.2834 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8325 loss: 1.8325 2022/08/03 10:48:51 - mmengine - INFO - Epoch(train) [94][1360/1879] lr: 2.0000e-02 eta: 1 day, 2:47:54 time: 0.9002 data_time: 0.0235 memory: 11089 grad_norm: 4.3461 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1719 loss: 2.1719 2022/08/03 10:49:09 - mmengine - INFO - Epoch(train) [94][1380/1879] lr: 2.0000e-02 eta: 1 day, 2:47:36 time: 0.9027 data_time: 0.0202 memory: 11089 grad_norm: 4.2656 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8514 loss: 1.8514 2022/08/03 10:49:27 - mmengine - INFO - Epoch(train) [94][1400/1879] lr: 2.0000e-02 eta: 1 day, 2:47:18 time: 0.9142 data_time: 0.0257 memory: 11089 grad_norm: 4.3640 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1012 loss: 2.1012 2022/08/03 10:49:45 - mmengine - INFO - Epoch(train) [94][1420/1879] lr: 2.0000e-02 eta: 1 day, 2:46:59 time: 0.9162 data_time: 0.0269 memory: 11089 grad_norm: 4.2373 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8271 loss: 1.8271 2022/08/03 10:50:04 - mmengine - INFO - Epoch(train) [94][1440/1879] lr: 2.0000e-02 eta: 1 day, 2:46:41 time: 0.9110 data_time: 0.0253 memory: 11089 grad_norm: 4.1509 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5166 loss: 1.5166 2022/08/03 10:50:22 - mmengine - INFO - Epoch(train) [94][1460/1879] lr: 2.0000e-02 eta: 1 day, 2:46:23 time: 0.9399 data_time: 0.0294 memory: 11089 grad_norm: 4.3690 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0164 loss: 2.0164 2022/08/03 10:50:41 - mmengine - INFO - Epoch(train) [94][1480/1879] lr: 2.0000e-02 eta: 1 day, 2:46:05 time: 0.9273 data_time: 0.0275 memory: 11089 grad_norm: 4.2084 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7455 loss: 1.7455 2022/08/03 10:50:59 - mmengine - INFO - Epoch(train) [94][1500/1879] lr: 2.0000e-02 eta: 1 day, 2:45:47 time: 0.9160 data_time: 0.0283 memory: 11089 grad_norm: 4.1601 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8542 loss: 1.8542 2022/08/03 10:51:17 - mmengine - INFO - Epoch(train) [94][1520/1879] lr: 2.0000e-02 eta: 1 day, 2:45:29 time: 0.9086 data_time: 0.0249 memory: 11089 grad_norm: 4.2359 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9267 loss: 1.9267 2022/08/03 10:51:36 - mmengine - INFO - Epoch(train) [94][1540/1879] lr: 2.0000e-02 eta: 1 day, 2:45:10 time: 0.9235 data_time: 0.0240 memory: 11089 grad_norm: 4.1314 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0064 loss: 2.0064 2022/08/03 10:51:54 - mmengine - INFO - Epoch(train) [94][1560/1879] lr: 2.0000e-02 eta: 1 day, 2:44:52 time: 0.8990 data_time: 0.0252 memory: 11089 grad_norm: 4.3604 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9215 loss: 1.9215 2022/08/03 10:52:12 - mmengine - INFO - Epoch(train) [94][1580/1879] lr: 2.0000e-02 eta: 1 day, 2:44:34 time: 0.9092 data_time: 0.0210 memory: 11089 grad_norm: 4.2342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8105 loss: 1.8105 2022/08/03 10:52:30 - mmengine - INFO - Epoch(train) [94][1600/1879] lr: 2.0000e-02 eta: 1 day, 2:44:15 time: 0.9101 data_time: 0.0294 memory: 11089 grad_norm: 4.1727 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7903 loss: 1.7903 2022/08/03 10:52:48 - mmengine - INFO - Epoch(train) [94][1620/1879] lr: 2.0000e-02 eta: 1 day, 2:43:57 time: 0.8964 data_time: 0.0210 memory: 11089 grad_norm: 4.2462 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9472 loss: 1.9472 2022/08/03 10:53:06 - mmengine - INFO - Epoch(train) [94][1640/1879] lr: 2.0000e-02 eta: 1 day, 2:43:39 time: 0.9075 data_time: 0.0244 memory: 11089 grad_norm: 4.2057 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8656 loss: 1.8656 2022/08/03 10:53:25 - mmengine - INFO - Epoch(train) [94][1660/1879] lr: 2.0000e-02 eta: 1 day, 2:43:21 time: 0.9148 data_time: 0.0274 memory: 11089 grad_norm: 4.3341 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8983 loss: 1.8983 2022/08/03 10:53:43 - mmengine - INFO - Epoch(train) [94][1680/1879] lr: 2.0000e-02 eta: 1 day, 2:43:02 time: 0.9039 data_time: 0.0212 memory: 11089 grad_norm: 4.2110 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9949 loss: 1.9949 2022/08/03 10:54:01 - mmengine - INFO - Epoch(train) [94][1700/1879] lr: 2.0000e-02 eta: 1 day, 2:42:44 time: 0.9065 data_time: 0.0196 memory: 11089 grad_norm: 4.2395 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.0627 loss: 2.0627 2022/08/03 10:54:19 - mmengine - INFO - Epoch(train) [94][1720/1879] lr: 2.0000e-02 eta: 1 day, 2:42:26 time: 0.9213 data_time: 0.0237 memory: 11089 grad_norm: 4.2501 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8789 loss: 1.8789 2022/08/03 10:54:38 - mmengine - INFO - Epoch(train) [94][1740/1879] lr: 2.0000e-02 eta: 1 day, 2:42:08 time: 0.9267 data_time: 0.0265 memory: 11089 grad_norm: 4.2759 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7979 loss: 1.7979 2022/08/03 10:54:56 - mmengine - INFO - Epoch(train) [94][1760/1879] lr: 2.0000e-02 eta: 1 day, 2:41:49 time: 0.9088 data_time: 0.0283 memory: 11089 grad_norm: 4.2249 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9784 loss: 1.9784 2022/08/03 10:55:14 - mmengine - INFO - Epoch(train) [94][1780/1879] lr: 2.0000e-02 eta: 1 day, 2:41:31 time: 0.9074 data_time: 0.0284 memory: 11089 grad_norm: 4.2706 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7754 loss: 1.7754 2022/08/03 10:55:32 - mmengine - INFO - Epoch(train) [94][1800/1879] lr: 2.0000e-02 eta: 1 day, 2:41:13 time: 0.9128 data_time: 0.0230 memory: 11089 grad_norm: 4.3015 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0895 loss: 2.0895 2022/08/03 10:55:51 - mmengine - INFO - Epoch(train) [94][1820/1879] lr: 2.0000e-02 eta: 1 day, 2:40:55 time: 0.9069 data_time: 0.0228 memory: 11089 grad_norm: 4.2506 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7934 loss: 1.7934 2022/08/03 10:56:09 - mmengine - INFO - Epoch(train) [94][1840/1879] lr: 2.0000e-02 eta: 1 day, 2:40:36 time: 0.9094 data_time: 0.0268 memory: 11089 grad_norm: 4.1674 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9506 loss: 1.9506 2022/08/03 10:56:27 - mmengine - INFO - Epoch(train) [94][1860/1879] lr: 2.0000e-02 eta: 1 day, 2:40:18 time: 0.9188 data_time: 0.0261 memory: 11089 grad_norm: 4.2585 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8993 loss: 1.8993 2022/08/03 10:56:44 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 10:56:44 - mmengine - INFO - Epoch(train) [94][1879/1879] lr: 2.0000e-02 eta: 1 day, 2:40:18 time: 0.8947 data_time: 0.0288 memory: 11089 grad_norm: 4.3366 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.0155 loss: 2.0155 2022/08/03 10:57:04 - mmengine - INFO - Epoch(train) [95][20/1879] lr: 2.0000e-02 eta: 1 day, 2:39:33 time: 1.0009 data_time: 0.1255 memory: 11089 grad_norm: 4.3607 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6836 loss: 1.6836 2022/08/03 10:57:22 - mmengine - INFO - Epoch(train) [95][40/1879] lr: 2.0000e-02 eta: 1 day, 2:39:15 time: 0.9049 data_time: 0.0257 memory: 11089 grad_norm: 4.3283 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8631 loss: 1.8631 2022/08/03 10:57:41 - mmengine - INFO - Epoch(train) [95][60/1879] lr: 2.0000e-02 eta: 1 day, 2:38:57 time: 0.9112 data_time: 0.0248 memory: 11089 grad_norm: 4.1859 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8292 loss: 1.8292 2022/08/03 10:57:59 - mmengine - INFO - Epoch(train) [95][80/1879] lr: 2.0000e-02 eta: 1 day, 2:38:39 time: 0.9258 data_time: 0.0260 memory: 11089 grad_norm: 4.2294 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8004 loss: 1.8004 2022/08/03 10:58:17 - mmengine - INFO - Epoch(train) [95][100/1879] lr: 2.0000e-02 eta: 1 day, 2:38:20 time: 0.9142 data_time: 0.0271 memory: 11089 grad_norm: 4.1485 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9220 loss: 1.9220 2022/08/03 10:58:36 - mmengine - INFO - Epoch(train) [95][120/1879] lr: 2.0000e-02 eta: 1 day, 2:38:02 time: 0.9240 data_time: 0.0231 memory: 11089 grad_norm: 4.2757 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0102 loss: 2.0102 2022/08/03 10:58:55 - mmengine - INFO - Epoch(train) [95][140/1879] lr: 2.0000e-02 eta: 1 day, 2:37:44 time: 0.9447 data_time: 0.0344 memory: 11089 grad_norm: 4.2578 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8833 loss: 1.8833 2022/08/03 10:59:13 - mmengine - INFO - Epoch(train) [95][160/1879] lr: 2.0000e-02 eta: 1 day, 2:37:26 time: 0.9302 data_time: 0.0235 memory: 11089 grad_norm: 4.2657 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7705 loss: 1.7705 2022/08/03 10:59:32 - mmengine - INFO - Epoch(train) [95][180/1879] lr: 2.0000e-02 eta: 1 day, 2:37:08 time: 0.9186 data_time: 0.0239 memory: 11089 grad_norm: 4.2296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7948 loss: 1.7948 2022/08/03 10:59:50 - mmengine - INFO - Epoch(train) [95][200/1879] lr: 2.0000e-02 eta: 1 day, 2:36:50 time: 0.9109 data_time: 0.0246 memory: 11089 grad_norm: 4.2381 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0096 loss: 2.0096 2022/08/03 11:00:09 - mmengine - INFO - Epoch(train) [95][220/1879] lr: 2.0000e-02 eta: 1 day, 2:36:32 time: 0.9279 data_time: 0.0267 memory: 11089 grad_norm: 4.4518 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.8176 loss: 1.8176 2022/08/03 11:00:27 - mmengine - INFO - Epoch(train) [95][240/1879] lr: 2.0000e-02 eta: 1 day, 2:36:14 time: 0.9102 data_time: 0.0236 memory: 11089 grad_norm: 4.1778 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6238 loss: 1.6238 2022/08/03 11:00:45 - mmengine - INFO - Epoch(train) [95][260/1879] lr: 2.0000e-02 eta: 1 day, 2:35:55 time: 0.9081 data_time: 0.0238 memory: 11089 grad_norm: 4.3246 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9471 loss: 1.9471 2022/08/03 11:01:03 - mmengine - INFO - Epoch(train) [95][280/1879] lr: 2.0000e-02 eta: 1 day, 2:35:37 time: 0.9133 data_time: 0.0275 memory: 11089 grad_norm: 4.2639 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8756 loss: 1.8756 2022/08/03 11:01:21 - mmengine - INFO - Epoch(train) [95][300/1879] lr: 2.0000e-02 eta: 1 day, 2:35:19 time: 0.9068 data_time: 0.0214 memory: 11089 grad_norm: 4.1361 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0119 loss: 2.0119 2022/08/03 11:01:40 - mmengine - INFO - Epoch(train) [95][320/1879] lr: 2.0000e-02 eta: 1 day, 2:35:01 time: 0.9196 data_time: 0.0247 memory: 11089 grad_norm: 4.2081 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9989 loss: 1.9989 2022/08/03 11:01:58 - mmengine - INFO - Epoch(train) [95][340/1879] lr: 2.0000e-02 eta: 1 day, 2:34:42 time: 0.8906 data_time: 0.0226 memory: 11089 grad_norm: 4.1913 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8207 loss: 1.8207 2022/08/03 11:02:16 - mmengine - INFO - Epoch(train) [95][360/1879] lr: 2.0000e-02 eta: 1 day, 2:34:24 time: 0.9019 data_time: 0.0222 memory: 11089 grad_norm: 4.2561 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7614 loss: 1.7614 2022/08/03 11:02:29 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 11:02:34 - mmengine - INFO - Epoch(train) [95][380/1879] lr: 2.0000e-02 eta: 1 day, 2:34:06 time: 0.9366 data_time: 0.0250 memory: 11089 grad_norm: 4.2529 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0775 loss: 2.0775 2022/08/03 11:02:53 - mmengine - INFO - Epoch(train) [95][400/1879] lr: 2.0000e-02 eta: 1 day, 2:33:48 time: 0.9264 data_time: 0.0315 memory: 11089 grad_norm: 4.2723 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8288 loss: 1.8288 2022/08/03 11:03:12 - mmengine - INFO - Epoch(train) [95][420/1879] lr: 2.0000e-02 eta: 1 day, 2:33:30 time: 0.9295 data_time: 0.0254 memory: 11089 grad_norm: 4.2391 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8048 loss: 1.8048 2022/08/03 11:03:30 - mmengine - INFO - Epoch(train) [95][440/1879] lr: 2.0000e-02 eta: 1 day, 2:33:11 time: 0.9162 data_time: 0.0256 memory: 11089 grad_norm: 4.2318 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8718 loss: 1.8718 2022/08/03 11:03:48 - mmengine - INFO - Epoch(train) [95][460/1879] lr: 2.0000e-02 eta: 1 day, 2:32:53 time: 0.9038 data_time: 0.0250 memory: 11089 grad_norm: 4.2008 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7975 loss: 1.7975 2022/08/03 11:04:06 - mmengine - INFO - Epoch(train) [95][480/1879] lr: 2.0000e-02 eta: 1 day, 2:32:35 time: 0.9063 data_time: 0.0253 memory: 11089 grad_norm: 4.2830 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9662 loss: 1.9662 2022/08/03 11:04:24 - mmengine - INFO - Epoch(train) [95][500/1879] lr: 2.0000e-02 eta: 1 day, 2:32:16 time: 0.9126 data_time: 0.0262 memory: 11089 grad_norm: 4.1905 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5974 loss: 1.5974 2022/08/03 11:04:43 - mmengine - INFO - Epoch(train) [95][520/1879] lr: 2.0000e-02 eta: 1 day, 2:31:58 time: 0.9316 data_time: 0.0250 memory: 11089 grad_norm: 4.3368 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9914 loss: 1.9914 2022/08/03 11:05:01 - mmengine - INFO - Epoch(train) [95][540/1879] lr: 2.0000e-02 eta: 1 day, 2:31:40 time: 0.9100 data_time: 0.0250 memory: 11089 grad_norm: 4.2823 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8167 loss: 1.8167 2022/08/03 11:05:19 - mmengine - INFO - Epoch(train) [95][560/1879] lr: 2.0000e-02 eta: 1 day, 2:31:22 time: 0.9087 data_time: 0.0268 memory: 11089 grad_norm: 4.1137 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8857 loss: 1.8857 2022/08/03 11:05:38 - mmengine - INFO - Epoch(train) [95][580/1879] lr: 2.0000e-02 eta: 1 day, 2:31:04 time: 0.9142 data_time: 0.0262 memory: 11089 grad_norm: 4.2961 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9542 loss: 1.9542 2022/08/03 11:05:56 - mmengine - INFO - Epoch(train) [95][600/1879] lr: 2.0000e-02 eta: 1 day, 2:30:45 time: 0.9070 data_time: 0.0303 memory: 11089 grad_norm: 4.2921 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9272 loss: 1.9272 2022/08/03 11:06:14 - mmengine - INFO - Epoch(train) [95][620/1879] lr: 2.0000e-02 eta: 1 day, 2:30:27 time: 0.9118 data_time: 0.0233 memory: 11089 grad_norm: 4.2416 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8687 loss: 1.8687 2022/08/03 11:06:33 - mmengine - INFO - Epoch(train) [95][640/1879] lr: 2.0000e-02 eta: 1 day, 2:30:09 time: 0.9251 data_time: 0.0269 memory: 11089 grad_norm: 4.2033 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9271 loss: 1.9271 2022/08/03 11:06:51 - mmengine - INFO - Epoch(train) [95][660/1879] lr: 2.0000e-02 eta: 1 day, 2:29:51 time: 0.9171 data_time: 0.0282 memory: 11089 grad_norm: 4.1725 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0440 loss: 2.0440 2022/08/03 11:07:09 - mmengine - INFO - Epoch(train) [95][680/1879] lr: 2.0000e-02 eta: 1 day, 2:29:33 time: 0.9237 data_time: 0.0281 memory: 11089 grad_norm: 4.2479 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8579 loss: 1.8579 2022/08/03 11:07:27 - mmengine - INFO - Epoch(train) [95][700/1879] lr: 2.0000e-02 eta: 1 day, 2:29:14 time: 0.9066 data_time: 0.0227 memory: 11089 grad_norm: 4.2962 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9026 loss: 1.9026 2022/08/03 11:07:46 - mmengine - INFO - Epoch(train) [95][720/1879] lr: 2.0000e-02 eta: 1 day, 2:28:56 time: 0.9271 data_time: 0.0310 memory: 11089 grad_norm: 4.3635 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9773 loss: 1.9773 2022/08/03 11:08:05 - mmengine - INFO - Epoch(train) [95][740/1879] lr: 2.0000e-02 eta: 1 day, 2:28:38 time: 0.9342 data_time: 0.0278 memory: 11089 grad_norm: 4.2127 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9804 loss: 1.9804 2022/08/03 11:08:23 - mmengine - INFO - Epoch(train) [95][760/1879] lr: 2.0000e-02 eta: 1 day, 2:28:20 time: 0.9109 data_time: 0.0250 memory: 11089 grad_norm: 4.3019 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9433 loss: 1.9433 2022/08/03 11:08:41 - mmengine - INFO - Epoch(train) [95][780/1879] lr: 2.0000e-02 eta: 1 day, 2:28:02 time: 0.9256 data_time: 0.0299 memory: 11089 grad_norm: 4.1423 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8366 loss: 1.8366 2022/08/03 11:09:00 - mmengine - INFO - Epoch(train) [95][800/1879] lr: 2.0000e-02 eta: 1 day, 2:27:44 time: 0.9491 data_time: 0.0360 memory: 11089 grad_norm: 4.2730 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.9777 loss: 1.9777 2022/08/03 11:09:19 - mmengine - INFO - Epoch(train) [95][820/1879] lr: 2.0000e-02 eta: 1 day, 2:27:26 time: 0.9147 data_time: 0.0261 memory: 11089 grad_norm: 4.3597 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8191 loss: 1.8191 2022/08/03 11:09:37 - mmengine - INFO - Epoch(train) [95][840/1879] lr: 2.0000e-02 eta: 1 day, 2:27:07 time: 0.8898 data_time: 0.0218 memory: 11089 grad_norm: 4.2634 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8863 loss: 1.8863 2022/08/03 11:09:55 - mmengine - INFO - Epoch(train) [95][860/1879] lr: 2.0000e-02 eta: 1 day, 2:26:49 time: 0.9056 data_time: 0.0292 memory: 11089 grad_norm: 4.0965 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9815 loss: 1.9815 2022/08/03 11:10:13 - mmengine - INFO - Epoch(train) [95][880/1879] lr: 2.0000e-02 eta: 1 day, 2:26:31 time: 0.9216 data_time: 0.0276 memory: 11089 grad_norm: 4.2823 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9934 loss: 1.9934 2022/08/03 11:10:32 - mmengine - INFO - Epoch(train) [95][900/1879] lr: 2.0000e-02 eta: 1 day, 2:26:13 time: 0.9212 data_time: 0.0295 memory: 11089 grad_norm: 4.1238 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8561 loss: 1.8561 2022/08/03 11:10:50 - mmengine - INFO - Epoch(train) [95][920/1879] lr: 2.0000e-02 eta: 1 day, 2:25:55 time: 0.9179 data_time: 0.0251 memory: 11089 grad_norm: 4.2630 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7935 loss: 1.7935 2022/08/03 11:11:08 - mmengine - INFO - Epoch(train) [95][940/1879] lr: 2.0000e-02 eta: 1 day, 2:25:36 time: 0.8920 data_time: 0.0227 memory: 11089 grad_norm: 4.3271 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0988 loss: 2.0988 2022/08/03 11:11:26 - mmengine - INFO - Epoch(train) [95][960/1879] lr: 2.0000e-02 eta: 1 day, 2:25:18 time: 0.9119 data_time: 0.0240 memory: 11089 grad_norm: 4.2835 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9884 loss: 1.9884 2022/08/03 11:11:44 - mmengine - INFO - Epoch(train) [95][980/1879] lr: 2.0000e-02 eta: 1 day, 2:25:00 time: 0.9251 data_time: 0.0297 memory: 11089 grad_norm: 4.2454 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7658 loss: 1.7658 2022/08/03 11:12:03 - mmengine - INFO - Epoch(train) [95][1000/1879] lr: 2.0000e-02 eta: 1 day, 2:24:42 time: 0.9248 data_time: 0.0309 memory: 11089 grad_norm: 4.2339 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8969 loss: 1.8969 2022/08/03 11:12:21 - mmengine - INFO - Epoch(train) [95][1020/1879] lr: 2.0000e-02 eta: 1 day, 2:24:24 time: 0.9185 data_time: 0.0301 memory: 11089 grad_norm: 4.1498 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8969 loss: 1.8969 2022/08/03 11:12:40 - mmengine - INFO - Epoch(train) [95][1040/1879] lr: 2.0000e-02 eta: 1 day, 2:24:06 time: 0.9247 data_time: 0.0275 memory: 11089 grad_norm: 4.2353 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9196 loss: 1.9196 2022/08/03 11:12:58 - mmengine - INFO - Epoch(train) [95][1060/1879] lr: 2.0000e-02 eta: 1 day, 2:23:47 time: 0.9136 data_time: 0.0188 memory: 11089 grad_norm: 4.3336 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0923 loss: 2.0923 2022/08/03 11:13:16 - mmengine - INFO - Epoch(train) [95][1080/1879] lr: 2.0000e-02 eta: 1 day, 2:23:29 time: 0.9159 data_time: 0.0264 memory: 11089 grad_norm: 4.2826 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1443 loss: 2.1443 2022/08/03 11:13:35 - mmengine - INFO - Epoch(train) [95][1100/1879] lr: 2.0000e-02 eta: 1 day, 2:23:11 time: 0.9156 data_time: 0.0248 memory: 11089 grad_norm: 4.1796 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7874 loss: 1.7874 2022/08/03 11:13:53 - mmengine - INFO - Epoch(train) [95][1120/1879] lr: 2.0000e-02 eta: 1 day, 2:22:53 time: 0.9247 data_time: 0.0250 memory: 11089 grad_norm: 4.2778 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9614 loss: 1.9614 2022/08/03 11:14:12 - mmengine - INFO - Epoch(train) [95][1140/1879] lr: 2.0000e-02 eta: 1 day, 2:22:35 time: 0.9242 data_time: 0.0224 memory: 11089 grad_norm: 4.3276 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0661 loss: 2.0661 2022/08/03 11:14:30 - mmengine - INFO - Epoch(train) [95][1160/1879] lr: 2.0000e-02 eta: 1 day, 2:22:17 time: 0.9213 data_time: 0.0291 memory: 11089 grad_norm: 4.2697 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2411 loss: 2.2411 2022/08/03 11:14:48 - mmengine - INFO - Epoch(train) [95][1180/1879] lr: 2.0000e-02 eta: 1 day, 2:21:58 time: 0.9127 data_time: 0.0229 memory: 11089 grad_norm: 4.1729 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0477 loss: 2.0477 2022/08/03 11:15:07 - mmengine - INFO - Epoch(train) [95][1200/1879] lr: 2.0000e-02 eta: 1 day, 2:21:40 time: 0.9055 data_time: 0.0229 memory: 11089 grad_norm: 4.3152 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7662 loss: 1.7662 2022/08/03 11:15:25 - mmengine - INFO - Epoch(train) [95][1220/1879] lr: 2.0000e-02 eta: 1 day, 2:21:22 time: 0.9202 data_time: 0.0284 memory: 11089 grad_norm: 4.3023 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8591 loss: 1.8591 2022/08/03 11:15:44 - mmengine - INFO - Epoch(train) [95][1240/1879] lr: 2.0000e-02 eta: 1 day, 2:21:04 time: 0.9275 data_time: 0.0252 memory: 11089 grad_norm: 4.2240 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7519 loss: 1.7519 2022/08/03 11:16:02 - mmengine - INFO - Epoch(train) [95][1260/1879] lr: 2.0000e-02 eta: 1 day, 2:20:46 time: 0.9150 data_time: 0.0298 memory: 11089 grad_norm: 4.2439 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7589 loss: 1.7589 2022/08/03 11:16:20 - mmengine - INFO - Epoch(train) [95][1280/1879] lr: 2.0000e-02 eta: 1 day, 2:20:27 time: 0.9096 data_time: 0.0246 memory: 11089 grad_norm: 4.1912 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9591 loss: 1.9591 2022/08/03 11:16:38 - mmengine - INFO - Epoch(train) [95][1300/1879] lr: 2.0000e-02 eta: 1 day, 2:20:09 time: 0.8974 data_time: 0.0264 memory: 11089 grad_norm: 4.3383 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8545 loss: 1.8545 2022/08/03 11:16:56 - mmengine - INFO - Epoch(train) [95][1320/1879] lr: 2.0000e-02 eta: 1 day, 2:19:50 time: 0.8980 data_time: 0.0242 memory: 11089 grad_norm: 4.2892 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0582 loss: 2.0582 2022/08/03 11:17:14 - mmengine - INFO - Epoch(train) [95][1340/1879] lr: 2.0000e-02 eta: 1 day, 2:19:32 time: 0.9152 data_time: 0.0307 memory: 11089 grad_norm: 4.3502 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9834 loss: 1.9834 2022/08/03 11:17:33 - mmengine - INFO - Epoch(train) [95][1360/1879] lr: 2.0000e-02 eta: 1 day, 2:19:14 time: 0.9292 data_time: 0.0243 memory: 11089 grad_norm: 4.1590 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8972 loss: 1.8972 2022/08/03 11:17:46 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 11:17:52 - mmengine - INFO - Epoch(train) [95][1380/1879] lr: 2.0000e-02 eta: 1 day, 2:18:56 time: 0.9329 data_time: 0.0354 memory: 11089 grad_norm: 4.3809 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0340 loss: 2.0340 2022/08/03 11:18:10 - mmengine - INFO - Epoch(train) [95][1400/1879] lr: 2.0000e-02 eta: 1 day, 2:18:38 time: 0.9401 data_time: 0.0330 memory: 11089 grad_norm: 4.3391 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9815 loss: 1.9815 2022/08/03 11:18:29 - mmengine - INFO - Epoch(train) [95][1420/1879] lr: 2.0000e-02 eta: 1 day, 2:18:20 time: 0.9343 data_time: 0.0335 memory: 11089 grad_norm: 4.2614 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0792 loss: 2.0792 2022/08/03 11:18:47 - mmengine - INFO - Epoch(train) [95][1440/1879] lr: 2.0000e-02 eta: 1 day, 2:18:02 time: 0.9209 data_time: 0.0265 memory: 11089 grad_norm: 4.3741 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.8877 loss: 1.8877 2022/08/03 11:19:06 - mmengine - INFO - Epoch(train) [95][1460/1879] lr: 2.0000e-02 eta: 1 day, 2:17:44 time: 0.9183 data_time: 0.0314 memory: 11089 grad_norm: 4.2030 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7778 loss: 1.7778 2022/08/03 11:19:24 - mmengine - INFO - Epoch(train) [95][1480/1879] lr: 2.0000e-02 eta: 1 day, 2:17:26 time: 0.9005 data_time: 0.0253 memory: 11089 grad_norm: 4.3086 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9945 loss: 1.9945 2022/08/03 11:19:42 - mmengine - INFO - Epoch(train) [95][1500/1879] lr: 2.0000e-02 eta: 1 day, 2:17:07 time: 0.9134 data_time: 0.0246 memory: 11089 grad_norm: 4.2155 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0312 loss: 2.0312 2022/08/03 11:20:00 - mmengine - INFO - Epoch(train) [95][1520/1879] lr: 2.0000e-02 eta: 1 day, 2:16:49 time: 0.9106 data_time: 0.0246 memory: 11089 grad_norm: 4.2273 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8447 loss: 1.8447 2022/08/03 11:20:19 - mmengine - INFO - Epoch(train) [95][1540/1879] lr: 2.0000e-02 eta: 1 day, 2:16:31 time: 0.9273 data_time: 0.0316 memory: 11089 grad_norm: 4.2243 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8345 loss: 1.8345 2022/08/03 11:20:37 - mmengine - INFO - Epoch(train) [95][1560/1879] lr: 2.0000e-02 eta: 1 day, 2:16:13 time: 0.9165 data_time: 0.0326 memory: 11089 grad_norm: 4.2070 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7818 loss: 1.7818 2022/08/03 11:20:56 - mmengine - INFO - Epoch(train) [95][1580/1879] lr: 2.0000e-02 eta: 1 day, 2:15:54 time: 0.9112 data_time: 0.0267 memory: 11089 grad_norm: 4.3301 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9561 loss: 1.9561 2022/08/03 11:21:14 - mmengine - INFO - Epoch(train) [95][1600/1879] lr: 2.0000e-02 eta: 1 day, 2:15:37 time: 0.9370 data_time: 0.0332 memory: 11089 grad_norm: 4.1820 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9068 loss: 1.9068 2022/08/03 11:21:33 - mmengine - INFO - Epoch(train) [95][1620/1879] lr: 2.0000e-02 eta: 1 day, 2:15:19 time: 0.9388 data_time: 0.0419 memory: 11089 grad_norm: 4.2862 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9236 loss: 1.9236 2022/08/03 11:21:51 - mmengine - INFO - Epoch(train) [95][1640/1879] lr: 2.0000e-02 eta: 1 day, 2:15:00 time: 0.9116 data_time: 0.0253 memory: 11089 grad_norm: 4.3232 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7774 loss: 1.7774 2022/08/03 11:22:10 - mmengine - INFO - Epoch(train) [95][1660/1879] lr: 2.0000e-02 eta: 1 day, 2:14:42 time: 0.9258 data_time: 0.0229 memory: 11089 grad_norm: 4.1421 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7687 loss: 1.7687 2022/08/03 11:22:28 - mmengine - INFO - Epoch(train) [95][1680/1879] lr: 2.0000e-02 eta: 1 day, 2:14:24 time: 0.9263 data_time: 0.0272 memory: 11089 grad_norm: 4.3899 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8606 loss: 1.8606 2022/08/03 11:22:47 - mmengine - INFO - Epoch(train) [95][1700/1879] lr: 2.0000e-02 eta: 1 day, 2:14:06 time: 0.9267 data_time: 0.0324 memory: 11089 grad_norm: 4.2742 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8367 loss: 1.8367 2022/08/03 11:23:05 - mmengine - INFO - Epoch(train) [95][1720/1879] lr: 2.0000e-02 eta: 1 day, 2:13:48 time: 0.9296 data_time: 0.0319 memory: 11089 grad_norm: 4.2586 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9465 loss: 1.9465 2022/08/03 11:23:24 - mmengine - INFO - Epoch(train) [95][1740/1879] lr: 2.0000e-02 eta: 1 day, 2:13:30 time: 0.9118 data_time: 0.0263 memory: 11089 grad_norm: 4.2756 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7529 loss: 1.7529 2022/08/03 11:23:42 - mmengine - INFO - Epoch(train) [95][1760/1879] lr: 2.0000e-02 eta: 1 day, 2:13:12 time: 0.9207 data_time: 0.0282 memory: 11089 grad_norm: 4.3415 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0158 loss: 2.0158 2022/08/03 11:24:00 - mmengine - INFO - Epoch(train) [95][1780/1879] lr: 2.0000e-02 eta: 1 day, 2:12:53 time: 0.9111 data_time: 0.0298 memory: 11089 grad_norm: 4.3092 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9357 loss: 1.9357 2022/08/03 11:24:19 - mmengine - INFO - Epoch(train) [95][1800/1879] lr: 2.0000e-02 eta: 1 day, 2:12:35 time: 0.9248 data_time: 0.0259 memory: 11089 grad_norm: 4.2684 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1198 loss: 2.1198 2022/08/03 11:24:37 - mmengine - INFO - Epoch(train) [95][1820/1879] lr: 2.0000e-02 eta: 1 day, 2:12:17 time: 0.9033 data_time: 0.0278 memory: 11089 grad_norm: 4.3102 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7327 loss: 1.7327 2022/08/03 11:24:55 - mmengine - INFO - Epoch(train) [95][1840/1879] lr: 2.0000e-02 eta: 1 day, 2:11:59 time: 0.9042 data_time: 0.0258 memory: 11089 grad_norm: 4.2837 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8021 loss: 1.8021 2022/08/03 11:25:14 - mmengine - INFO - Epoch(train) [95][1860/1879] lr: 2.0000e-02 eta: 1 day, 2:11:41 time: 0.9301 data_time: 0.0305 memory: 11089 grad_norm: 4.3345 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0506 loss: 2.0506 2022/08/03 11:25:30 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 11:25:30 - mmengine - INFO - Epoch(train) [95][1879/1879] lr: 2.0000e-02 eta: 1 day, 2:11:41 time: 0.8921 data_time: 0.0259 memory: 11089 grad_norm: 4.3087 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.0213 loss: 2.0213 2022/08/03 11:25:39 - mmengine - INFO - Epoch(val) [95][20/155] eta: 0:00:58 time: 0.4342 data_time: 0.1250 memory: 1950 2022/08/03 11:25:46 - mmengine - INFO - Epoch(val) [95][40/155] eta: 0:00:37 time: 0.3226 data_time: 0.0105 memory: 1950 2022/08/03 11:25:52 - mmengine - INFO - Epoch(val) [95][60/155] eta: 0:00:30 time: 0.3165 data_time: 0.0135 memory: 1950 2022/08/03 11:25:58 - mmengine - INFO - Epoch(val) [95][80/155] eta: 0:00:24 time: 0.3222 data_time: 0.0128 memory: 1950 2022/08/03 11:26:05 - mmengine - INFO - Epoch(val) [95][100/155] eta: 0:00:17 time: 0.3259 data_time: 0.0115 memory: 1950 2022/08/03 11:26:12 - mmengine - INFO - Epoch(val) [95][120/155] eta: 0:00:11 time: 0.3298 data_time: 0.0174 memory: 1950 2022/08/03 11:26:19 - mmengine - INFO - Epoch(val) [95][140/155] eta: 0:00:05 time: 0.3827 data_time: 0.0099 memory: 1950 2022/08/03 11:26:26 - mmengine - INFO - Epoch(val) [95][155/155] acc/top1: 0.6030 acc/top5: 0.8277 acc/mean1: 0.6030 2022/08/03 11:26:46 - mmengine - INFO - Epoch(train) [96][20/1879] lr: 2.0000e-02 eta: 1 day, 2:10:56 time: 0.9925 data_time: 0.1167 memory: 11089 grad_norm: 4.0810 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9559 loss: 1.9559 2022/08/03 11:27:05 - mmengine - INFO - Epoch(train) [96][40/1879] lr: 2.0000e-02 eta: 1 day, 2:10:38 time: 0.9141 data_time: 0.0227 memory: 11089 grad_norm: 4.2143 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1554 loss: 2.1554 2022/08/03 11:27:23 - mmengine - INFO - Epoch(train) [96][60/1879] lr: 2.0000e-02 eta: 1 day, 2:10:20 time: 0.9249 data_time: 0.0313 memory: 11089 grad_norm: 4.2236 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.8491 loss: 1.8491 2022/08/03 11:27:42 - mmengine - INFO - Epoch(train) [96][80/1879] lr: 2.0000e-02 eta: 1 day, 2:10:01 time: 0.9240 data_time: 0.0276 memory: 11089 grad_norm: 4.2744 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 2.0198 loss: 2.0198 2022/08/03 11:28:00 - mmengine - INFO - Epoch(train) [96][100/1879] lr: 2.0000e-02 eta: 1 day, 2:09:43 time: 0.9230 data_time: 0.0225 memory: 11089 grad_norm: 4.3414 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8132 loss: 1.8132 2022/08/03 11:28:18 - mmengine - INFO - Epoch(train) [96][120/1879] lr: 2.0000e-02 eta: 1 day, 2:09:25 time: 0.9041 data_time: 0.0213 memory: 11089 grad_norm: 4.3157 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8168 loss: 1.8168 2022/08/03 11:28:36 - mmengine - INFO - Epoch(train) [96][140/1879] lr: 2.0000e-02 eta: 1 day, 2:09:07 time: 0.9066 data_time: 0.0206 memory: 11089 grad_norm: 4.0856 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9260 loss: 1.9260 2022/08/03 11:28:55 - mmengine - INFO - Epoch(train) [96][160/1879] lr: 2.0000e-02 eta: 1 day, 2:08:49 time: 0.9333 data_time: 0.0297 memory: 11089 grad_norm: 4.1751 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8750 loss: 1.8750 2022/08/03 11:29:13 - mmengine - INFO - Epoch(train) [96][180/1879] lr: 2.0000e-02 eta: 1 day, 2:08:30 time: 0.9174 data_time: 0.0311 memory: 11089 grad_norm: 4.0590 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7710 loss: 1.7710 2022/08/03 11:29:32 - mmengine - INFO - Epoch(train) [96][200/1879] lr: 2.0000e-02 eta: 1 day, 2:08:12 time: 0.9130 data_time: 0.0284 memory: 11089 grad_norm: 4.2599 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9004 loss: 1.9004 2022/08/03 11:29:50 - mmengine - INFO - Epoch(train) [96][220/1879] lr: 2.0000e-02 eta: 1 day, 2:07:54 time: 0.9217 data_time: 0.0317 memory: 11089 grad_norm: 4.2185 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8607 loss: 1.8607 2022/08/03 11:30:08 - mmengine - INFO - Epoch(train) [96][240/1879] lr: 2.0000e-02 eta: 1 day, 2:07:36 time: 0.9189 data_time: 0.0336 memory: 11089 grad_norm: 4.1295 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8840 loss: 1.8840 2022/08/03 11:30:27 - mmengine - INFO - Epoch(train) [96][260/1879] lr: 2.0000e-02 eta: 1 day, 2:07:18 time: 0.9169 data_time: 0.0308 memory: 11089 grad_norm: 4.1787 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7565 loss: 1.7565 2022/08/03 11:30:45 - mmengine - INFO - Epoch(train) [96][280/1879] lr: 2.0000e-02 eta: 1 day, 2:07:00 time: 0.9133 data_time: 0.0299 memory: 11089 grad_norm: 4.2712 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7008 loss: 1.7008 2022/08/03 11:31:04 - mmengine - INFO - Epoch(train) [96][300/1879] lr: 2.0000e-02 eta: 1 day, 2:06:41 time: 0.9307 data_time: 0.0313 memory: 11089 grad_norm: 4.2843 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9401 loss: 1.9401 2022/08/03 11:31:22 - mmengine - INFO - Epoch(train) [96][320/1879] lr: 2.0000e-02 eta: 1 day, 2:06:23 time: 0.9091 data_time: 0.0235 memory: 11089 grad_norm: 4.2888 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8868 loss: 1.8868 2022/08/03 11:31:40 - mmengine - INFO - Epoch(train) [96][340/1879] lr: 2.0000e-02 eta: 1 day, 2:06:05 time: 0.9064 data_time: 0.0254 memory: 11089 grad_norm: 4.3149 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0236 loss: 2.0236 2022/08/03 11:31:58 - mmengine - INFO - Epoch(train) [96][360/1879] lr: 2.0000e-02 eta: 1 day, 2:05:46 time: 0.8954 data_time: 0.0257 memory: 11089 grad_norm: 4.2385 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9978 loss: 1.9978 2022/08/03 11:32:16 - mmengine - INFO - Epoch(train) [96][380/1879] lr: 2.0000e-02 eta: 1 day, 2:05:28 time: 0.9175 data_time: 0.0271 memory: 11089 grad_norm: 4.2871 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9173 loss: 1.9173 2022/08/03 11:32:35 - mmengine - INFO - Epoch(train) [96][400/1879] lr: 2.0000e-02 eta: 1 day, 2:05:10 time: 0.9251 data_time: 0.0340 memory: 11089 grad_norm: 4.1613 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9048 loss: 1.9048 2022/08/03 11:32:53 - mmengine - INFO - Epoch(train) [96][420/1879] lr: 2.0000e-02 eta: 1 day, 2:04:52 time: 0.8891 data_time: 0.0236 memory: 11089 grad_norm: 4.2648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8249 loss: 1.8249 2022/08/03 11:33:11 - mmengine - INFO - Epoch(train) [96][440/1879] lr: 2.0000e-02 eta: 1 day, 2:04:34 time: 0.9225 data_time: 0.0285 memory: 11089 grad_norm: 4.2089 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9747 loss: 1.9747 2022/08/03 11:33:29 - mmengine - INFO - Epoch(train) [96][460/1879] lr: 2.0000e-02 eta: 1 day, 2:04:15 time: 0.9126 data_time: 0.0244 memory: 11089 grad_norm: 4.2163 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6959 loss: 1.6959 2022/08/03 11:33:47 - mmengine - INFO - Epoch(train) [96][480/1879] lr: 2.0000e-02 eta: 1 day, 2:03:57 time: 0.9068 data_time: 0.0243 memory: 11089 grad_norm: 4.3894 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9594 loss: 1.9594 2022/08/03 11:34:01 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 11:34:06 - mmengine - INFO - Epoch(train) [96][500/1879] lr: 2.0000e-02 eta: 1 day, 2:03:39 time: 0.9223 data_time: 0.0322 memory: 11089 grad_norm: 4.2693 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9457 loss: 1.9457 2022/08/03 11:34:25 - mmengine - INFO - Epoch(train) [96][520/1879] lr: 2.0000e-02 eta: 1 day, 2:03:21 time: 0.9339 data_time: 0.0230 memory: 11089 grad_norm: 4.2339 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7569 loss: 1.7569 2022/08/03 11:34:43 - mmengine - INFO - Epoch(train) [96][540/1879] lr: 2.0000e-02 eta: 1 day, 2:03:03 time: 0.9139 data_time: 0.0298 memory: 11089 grad_norm: 4.3655 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 1.9276 loss: 1.9276 2022/08/03 11:35:01 - mmengine - INFO - Epoch(train) [96][560/1879] lr: 2.0000e-02 eta: 1 day, 2:02:44 time: 0.9203 data_time: 0.0251 memory: 11089 grad_norm: 4.1637 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9756 loss: 1.9756 2022/08/03 11:35:20 - mmengine - INFO - Epoch(train) [96][580/1879] lr: 2.0000e-02 eta: 1 day, 2:02:26 time: 0.9349 data_time: 0.0377 memory: 11089 grad_norm: 4.3582 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8467 loss: 1.8467 2022/08/03 11:35:38 - mmengine - INFO - Epoch(train) [96][600/1879] lr: 2.0000e-02 eta: 1 day, 2:02:08 time: 0.9069 data_time: 0.0277 memory: 11089 grad_norm: 4.2268 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8620 loss: 1.8620 2022/08/03 11:35:56 - mmengine - INFO - Epoch(train) [96][620/1879] lr: 2.0000e-02 eta: 1 day, 2:01:50 time: 0.8935 data_time: 0.0182 memory: 11089 grad_norm: 4.4590 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9819 loss: 1.9819 2022/08/03 11:36:14 - mmengine - INFO - Epoch(train) [96][640/1879] lr: 2.0000e-02 eta: 1 day, 2:01:31 time: 0.9047 data_time: 0.0263 memory: 11089 grad_norm: 4.2935 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8852 loss: 1.8852 2022/08/03 11:36:32 - mmengine - INFO - Epoch(train) [96][660/1879] lr: 2.0000e-02 eta: 1 day, 2:01:13 time: 0.9085 data_time: 0.0249 memory: 11089 grad_norm: 4.0608 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8392 loss: 1.8392 2022/08/03 11:36:50 - mmengine - INFO - Epoch(train) [96][680/1879] lr: 2.0000e-02 eta: 1 day, 2:00:55 time: 0.9114 data_time: 0.0235 memory: 11089 grad_norm: 4.2112 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8935 loss: 1.8935 2022/08/03 11:37:09 - mmengine - INFO - Epoch(train) [96][700/1879] lr: 2.0000e-02 eta: 1 day, 2:00:37 time: 0.9158 data_time: 0.0257 memory: 11089 grad_norm: 4.2255 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1605 loss: 2.1605 2022/08/03 11:37:27 - mmengine - INFO - Epoch(train) [96][720/1879] lr: 2.0000e-02 eta: 1 day, 2:00:18 time: 0.9133 data_time: 0.0291 memory: 11089 grad_norm: 4.1702 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8931 loss: 1.8931 2022/08/03 11:37:45 - mmengine - INFO - Epoch(train) [96][740/1879] lr: 2.0000e-02 eta: 1 day, 2:00:00 time: 0.9105 data_time: 0.0203 memory: 11089 grad_norm: 4.2071 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0625 loss: 2.0625 2022/08/03 11:38:04 - mmengine - INFO - Epoch(train) [96][760/1879] lr: 2.0000e-02 eta: 1 day, 1:59:42 time: 0.9379 data_time: 0.0272 memory: 11089 grad_norm: 4.2929 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.8856 loss: 1.8856 2022/08/03 11:38:22 - mmengine - INFO - Epoch(train) [96][780/1879] lr: 2.0000e-02 eta: 1 day, 1:59:24 time: 0.9051 data_time: 0.0271 memory: 11089 grad_norm: 4.2854 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7840 loss: 1.7840 2022/08/03 11:38:41 - mmengine - INFO - Epoch(train) [96][800/1879] lr: 2.0000e-02 eta: 1 day, 1:59:06 time: 0.9249 data_time: 0.0297 memory: 11089 grad_norm: 4.2794 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8761 loss: 1.8761 2022/08/03 11:38:59 - mmengine - INFO - Epoch(train) [96][820/1879] lr: 2.0000e-02 eta: 1 day, 1:58:47 time: 0.9087 data_time: 0.0226 memory: 11089 grad_norm: 4.2123 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8339 loss: 1.8339 2022/08/03 11:39:18 - mmengine - INFO - Epoch(train) [96][840/1879] lr: 2.0000e-02 eta: 1 day, 1:58:30 time: 0.9371 data_time: 0.0279 memory: 11089 grad_norm: 4.1496 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9010 loss: 1.9010 2022/08/03 11:39:36 - mmengine - INFO - Epoch(train) [96][860/1879] lr: 2.0000e-02 eta: 1 day, 1:58:11 time: 0.9258 data_time: 0.0225 memory: 11089 grad_norm: 4.2232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6798 loss: 1.6798 2022/08/03 11:39:54 - mmengine - INFO - Epoch(train) [96][880/1879] lr: 2.0000e-02 eta: 1 day, 1:57:53 time: 0.9155 data_time: 0.0307 memory: 11089 grad_norm: 4.3065 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7913 loss: 1.7913 2022/08/03 11:40:13 - mmengine - INFO - Epoch(train) [96][900/1879] lr: 2.0000e-02 eta: 1 day, 1:57:35 time: 0.9306 data_time: 0.0315 memory: 11089 grad_norm: 4.1905 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8490 loss: 1.8490 2022/08/03 11:40:31 - mmengine - INFO - Epoch(train) [96][920/1879] lr: 2.0000e-02 eta: 1 day, 1:57:17 time: 0.9201 data_time: 0.0356 memory: 11089 grad_norm: 4.1144 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8228 loss: 1.8228 2022/08/03 11:40:49 - mmengine - INFO - Epoch(train) [96][940/1879] lr: 2.0000e-02 eta: 1 day, 1:56:59 time: 0.8912 data_time: 0.0234 memory: 11089 grad_norm: 4.2383 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7565 loss: 1.7565 2022/08/03 11:41:08 - mmengine - INFO - Epoch(train) [96][960/1879] lr: 2.0000e-02 eta: 1 day, 1:56:40 time: 0.9254 data_time: 0.0217 memory: 11089 grad_norm: 4.2150 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0155 loss: 2.0155 2022/08/03 11:41:26 - mmengine - INFO - Epoch(train) [96][980/1879] lr: 2.0000e-02 eta: 1 day, 1:56:22 time: 0.9065 data_time: 0.0262 memory: 11089 grad_norm: 4.3106 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9294 loss: 1.9294 2022/08/03 11:41:44 - mmengine - INFO - Epoch(train) [96][1000/1879] lr: 2.0000e-02 eta: 1 day, 1:56:04 time: 0.9095 data_time: 0.0247 memory: 11089 grad_norm: 4.3095 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1213 loss: 2.1213 2022/08/03 11:42:02 - mmengine - INFO - Epoch(train) [96][1020/1879] lr: 2.0000e-02 eta: 1 day, 1:55:46 time: 0.9156 data_time: 0.0241 memory: 11089 grad_norm: 4.2181 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8295 loss: 1.8295 2022/08/03 11:42:21 - mmengine - INFO - Epoch(train) [96][1040/1879] lr: 2.0000e-02 eta: 1 day, 1:55:27 time: 0.9061 data_time: 0.0259 memory: 11089 grad_norm: 4.2447 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9557 loss: 1.9557 2022/08/03 11:42:39 - mmengine - INFO - Epoch(train) [96][1060/1879] lr: 2.0000e-02 eta: 1 day, 1:55:09 time: 0.9085 data_time: 0.0248 memory: 11089 grad_norm: 4.2183 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8081 loss: 1.8081 2022/08/03 11:42:57 - mmengine - INFO - Epoch(train) [96][1080/1879] lr: 2.0000e-02 eta: 1 day, 1:54:51 time: 0.9186 data_time: 0.0286 memory: 11089 grad_norm: 4.2300 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1386 loss: 2.1386 2022/08/03 11:43:15 - mmengine - INFO - Epoch(train) [96][1100/1879] lr: 2.0000e-02 eta: 1 day, 1:54:33 time: 0.9024 data_time: 0.0279 memory: 11089 grad_norm: 4.1865 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7218 loss: 1.7218 2022/08/03 11:43:34 - mmengine - INFO - Epoch(train) [96][1120/1879] lr: 2.0000e-02 eta: 1 day, 1:54:14 time: 0.9226 data_time: 0.0328 memory: 11089 grad_norm: 4.2486 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0516 loss: 2.0516 2022/08/03 11:43:52 - mmengine - INFO - Epoch(train) [96][1140/1879] lr: 2.0000e-02 eta: 1 day, 1:53:56 time: 0.9167 data_time: 0.0330 memory: 11089 grad_norm: 4.1770 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9419 loss: 1.9419 2022/08/03 11:44:10 - mmengine - INFO - Epoch(train) [96][1160/1879] lr: 2.0000e-02 eta: 1 day, 1:53:38 time: 0.9105 data_time: 0.0239 memory: 11089 grad_norm: 4.2325 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9617 loss: 1.9617 2022/08/03 11:44:29 - mmengine - INFO - Epoch(train) [96][1180/1879] lr: 2.0000e-02 eta: 1 day, 1:53:20 time: 0.9249 data_time: 0.0301 memory: 11089 grad_norm: 4.3302 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9693 loss: 1.9693 2022/08/03 11:44:47 - mmengine - INFO - Epoch(train) [96][1200/1879] lr: 2.0000e-02 eta: 1 day, 1:53:02 time: 0.9165 data_time: 0.0280 memory: 11089 grad_norm: 4.2934 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9048 loss: 1.9048 2022/08/03 11:45:06 - mmengine - INFO - Epoch(train) [96][1220/1879] lr: 2.0000e-02 eta: 1 day, 1:52:44 time: 0.9347 data_time: 0.0268 memory: 11089 grad_norm: 4.4151 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8822 loss: 1.8822 2022/08/03 11:45:24 - mmengine - INFO - Epoch(train) [96][1240/1879] lr: 2.0000e-02 eta: 1 day, 1:52:26 time: 0.9250 data_time: 0.0318 memory: 11089 grad_norm: 4.2981 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0501 loss: 2.0501 2022/08/03 11:45:43 - mmengine - INFO - Epoch(train) [96][1260/1879] lr: 2.0000e-02 eta: 1 day, 1:52:08 time: 0.9423 data_time: 0.0276 memory: 11089 grad_norm: 4.1917 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9262 loss: 1.9262 2022/08/03 11:46:02 - mmengine - INFO - Epoch(train) [96][1280/1879] lr: 2.0000e-02 eta: 1 day, 1:51:50 time: 0.9236 data_time: 0.0312 memory: 11089 grad_norm: 4.1774 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8708 loss: 1.8708 2022/08/03 11:46:20 - mmengine - INFO - Epoch(train) [96][1300/1879] lr: 2.0000e-02 eta: 1 day, 1:51:31 time: 0.9049 data_time: 0.0251 memory: 11089 grad_norm: 4.2691 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8789 loss: 1.8789 2022/08/03 11:46:38 - mmengine - INFO - Epoch(train) [96][1320/1879] lr: 2.0000e-02 eta: 1 day, 1:51:13 time: 0.9042 data_time: 0.0263 memory: 11089 grad_norm: 4.1720 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.9284 loss: 1.9284 2022/08/03 11:46:56 - mmengine - INFO - Epoch(train) [96][1340/1879] lr: 2.0000e-02 eta: 1 day, 1:50:55 time: 0.9313 data_time: 0.0323 memory: 11089 grad_norm: 4.0976 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9937 loss: 1.9937 2022/08/03 11:47:14 - mmengine - INFO - Epoch(train) [96][1360/1879] lr: 2.0000e-02 eta: 1 day, 1:50:36 time: 0.8954 data_time: 0.0208 memory: 11089 grad_norm: 4.2696 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7489 loss: 1.7489 2022/08/03 11:47:33 - mmengine - INFO - Epoch(train) [96][1380/1879] lr: 2.0000e-02 eta: 1 day, 1:50:18 time: 0.9202 data_time: 0.0229 memory: 11089 grad_norm: 4.2056 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8789 loss: 1.8789 2022/08/03 11:47:51 - mmengine - INFO - Epoch(train) [96][1400/1879] lr: 2.0000e-02 eta: 1 day, 1:50:00 time: 0.9150 data_time: 0.0172 memory: 11089 grad_norm: 4.2848 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8819 loss: 1.8819 2022/08/03 11:48:09 - mmengine - INFO - Epoch(train) [96][1420/1879] lr: 2.0000e-02 eta: 1 day, 1:49:42 time: 0.9105 data_time: 0.0283 memory: 11089 grad_norm: 4.4046 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8599 loss: 1.8599 2022/08/03 11:48:27 - mmengine - INFO - Epoch(train) [96][1440/1879] lr: 2.0000e-02 eta: 1 day, 1:49:23 time: 0.9059 data_time: 0.0235 memory: 11089 grad_norm: 4.2261 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9559 loss: 1.9559 2022/08/03 11:48:46 - mmengine - INFO - Epoch(train) [96][1460/1879] lr: 2.0000e-02 eta: 1 day, 1:49:05 time: 0.9292 data_time: 0.0252 memory: 11089 grad_norm: 4.1891 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8827 loss: 1.8827 2022/08/03 11:49:04 - mmengine - INFO - Epoch(train) [96][1480/1879] lr: 2.0000e-02 eta: 1 day, 1:48:47 time: 0.9097 data_time: 0.0238 memory: 11089 grad_norm: 4.2226 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0614 loss: 2.0614 2022/08/03 11:49:18 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 11:49:23 - mmengine - INFO - Epoch(train) [96][1500/1879] lr: 2.0000e-02 eta: 1 day, 1:48:29 time: 0.9217 data_time: 0.0233 memory: 11089 grad_norm: 4.2442 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9537 loss: 1.9537 2022/08/03 11:49:41 - mmengine - INFO - Epoch(train) [96][1520/1879] lr: 2.0000e-02 eta: 1 day, 1:48:11 time: 0.9029 data_time: 0.0197 memory: 11089 grad_norm: 4.2253 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1494 loss: 2.1494 2022/08/03 11:49:59 - mmengine - INFO - Epoch(train) [96][1540/1879] lr: 2.0000e-02 eta: 1 day, 1:47:52 time: 0.9033 data_time: 0.0240 memory: 11089 grad_norm: 4.2200 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8694 loss: 1.8694 2022/08/03 11:50:17 - mmengine - INFO - Epoch(train) [96][1560/1879] lr: 2.0000e-02 eta: 1 day, 1:47:34 time: 0.9208 data_time: 0.0328 memory: 11089 grad_norm: 4.2929 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8790 loss: 1.8790 2022/08/03 11:50:36 - mmengine - INFO - Epoch(train) [96][1580/1879] lr: 2.0000e-02 eta: 1 day, 1:47:16 time: 0.9307 data_time: 0.0368 memory: 11089 grad_norm: 4.2121 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8507 loss: 1.8507 2022/08/03 11:50:54 - mmengine - INFO - Epoch(train) [96][1600/1879] lr: 2.0000e-02 eta: 1 day, 1:46:58 time: 0.9367 data_time: 0.0367 memory: 11089 grad_norm: 4.1135 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7613 loss: 1.7613 2022/08/03 11:51:13 - mmengine - INFO - Epoch(train) [96][1620/1879] lr: 2.0000e-02 eta: 1 day, 1:46:40 time: 0.9096 data_time: 0.0241 memory: 11089 grad_norm: 4.3453 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9320 loss: 1.9320 2022/08/03 11:51:31 - mmengine - INFO - Epoch(train) [96][1640/1879] lr: 2.0000e-02 eta: 1 day, 1:46:22 time: 0.9135 data_time: 0.0239 memory: 11089 grad_norm: 4.2167 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0100 loss: 2.0100 2022/08/03 11:51:49 - mmengine - INFO - Epoch(train) [96][1660/1879] lr: 2.0000e-02 eta: 1 day, 1:46:03 time: 0.9162 data_time: 0.0311 memory: 11089 grad_norm: 4.2113 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8919 loss: 1.8919 2022/08/03 11:52:07 - mmengine - INFO - Epoch(train) [96][1680/1879] lr: 2.0000e-02 eta: 1 day, 1:45:45 time: 0.9075 data_time: 0.0292 memory: 11089 grad_norm: 4.1214 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8362 loss: 1.8362 2022/08/03 11:52:26 - mmengine - INFO - Epoch(train) [96][1700/1879] lr: 2.0000e-02 eta: 1 day, 1:45:27 time: 0.9218 data_time: 0.0303 memory: 11089 grad_norm: 4.1448 top1_acc: 0.4375 top5_acc: 0.4375 loss_cls: 1.9319 loss: 1.9319 2022/08/03 11:52:44 - mmengine - INFO - Epoch(train) [96][1720/1879] lr: 2.0000e-02 eta: 1 day, 1:45:09 time: 0.9072 data_time: 0.0245 memory: 11089 grad_norm: 4.2541 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8476 loss: 1.8476 2022/08/03 11:53:02 - mmengine - INFO - Epoch(train) [96][1740/1879] lr: 2.0000e-02 eta: 1 day, 1:44:50 time: 0.9047 data_time: 0.0266 memory: 11089 grad_norm: 4.2407 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0923 loss: 2.0923 2022/08/03 11:53:20 - mmengine - INFO - Epoch(train) [96][1760/1879] lr: 2.0000e-02 eta: 1 day, 1:44:32 time: 0.9117 data_time: 0.0290 memory: 11089 grad_norm: 4.2597 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0657 loss: 2.0657 2022/08/03 11:53:38 - mmengine - INFO - Epoch(train) [96][1780/1879] lr: 2.0000e-02 eta: 1 day, 1:44:14 time: 0.8945 data_time: 0.0250 memory: 11089 grad_norm: 4.3165 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.1513 loss: 2.1513 2022/08/03 11:53:57 - mmengine - INFO - Epoch(train) [96][1800/1879] lr: 2.0000e-02 eta: 1 day, 1:43:56 time: 0.9246 data_time: 0.0298 memory: 11089 grad_norm: 4.3440 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9752 loss: 1.9752 2022/08/03 11:54:15 - mmengine - INFO - Epoch(train) [96][1820/1879] lr: 2.0000e-02 eta: 1 day, 1:43:38 time: 0.9295 data_time: 0.0261 memory: 11089 grad_norm: 4.3178 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9094 loss: 1.9094 2022/08/03 11:54:33 - mmengine - INFO - Epoch(train) [96][1840/1879] lr: 2.0000e-02 eta: 1 day, 1:43:19 time: 0.9062 data_time: 0.0225 memory: 11089 grad_norm: 4.2839 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0163 loss: 2.0163 2022/08/03 11:54:52 - mmengine - INFO - Epoch(train) [96][1860/1879] lr: 2.0000e-02 eta: 1 day, 1:43:01 time: 0.9161 data_time: 0.0301 memory: 11089 grad_norm: 4.2267 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9518 loss: 1.9518 2022/08/03 11:55:09 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 11:55:09 - mmengine - INFO - Epoch(train) [96][1879/1879] lr: 2.0000e-02 eta: 1 day, 1:43:01 time: 0.9011 data_time: 0.0239 memory: 11089 grad_norm: 4.2751 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.1227 loss: 2.1227 2022/08/03 11:55:09 - mmengine - INFO - Saving checkpoint at 96 epochs 2022/08/03 11:55:32 - mmengine - INFO - Epoch(train) [97][20/1879] lr: 2.0000e-02 eta: 1 day, 1:42:17 time: 1.0140 data_time: 0.1258 memory: 11089 grad_norm: 4.1817 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7546 loss: 1.7546 2022/08/03 11:55:51 - mmengine - INFO - Epoch(train) [97][40/1879] lr: 2.0000e-02 eta: 1 day, 1:41:59 time: 0.9501 data_time: 0.0333 memory: 11089 grad_norm: 4.4029 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2744 loss: 2.2744 2022/08/03 11:56:10 - mmengine - INFO - Epoch(train) [97][60/1879] lr: 2.0000e-02 eta: 1 day, 1:41:41 time: 0.9228 data_time: 0.0239 memory: 11089 grad_norm: 4.2082 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7489 loss: 1.7489 2022/08/03 11:56:28 - mmengine - INFO - Epoch(train) [97][80/1879] lr: 2.0000e-02 eta: 1 day, 1:41:23 time: 0.9306 data_time: 0.0310 memory: 11089 grad_norm: 4.1115 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0566 loss: 2.0566 2022/08/03 11:56:47 - mmengine - INFO - Epoch(train) [97][100/1879] lr: 2.0000e-02 eta: 1 day, 1:41:05 time: 0.9243 data_time: 0.0290 memory: 11089 grad_norm: 4.1114 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8124 loss: 1.8124 2022/08/03 11:57:05 - mmengine - INFO - Epoch(train) [97][120/1879] lr: 2.0000e-02 eta: 1 day, 1:40:47 time: 0.9187 data_time: 0.0305 memory: 11089 grad_norm: 4.4230 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8521 loss: 1.8521 2022/08/03 11:57:24 - mmengine - INFO - Epoch(train) [97][140/1879] lr: 2.0000e-02 eta: 1 day, 1:40:29 time: 0.9332 data_time: 0.0288 memory: 11089 grad_norm: 4.1959 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7319 loss: 1.7319 2022/08/03 11:57:42 - mmengine - INFO - Epoch(train) [97][160/1879] lr: 2.0000e-02 eta: 1 day, 1:40:10 time: 0.8999 data_time: 0.0269 memory: 11089 grad_norm: 4.1717 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7206 loss: 1.7206 2022/08/03 11:58:00 - mmengine - INFO - Epoch(train) [97][180/1879] lr: 2.0000e-02 eta: 1 day, 1:39:52 time: 0.9114 data_time: 0.0286 memory: 11089 grad_norm: 4.3152 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6507 loss: 1.6507 2022/08/03 11:58:19 - mmengine - INFO - Epoch(train) [97][200/1879] lr: 2.0000e-02 eta: 1 day, 1:39:34 time: 0.9168 data_time: 0.0279 memory: 11089 grad_norm: 4.2663 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6390 loss: 1.6390 2022/08/03 11:58:37 - mmengine - INFO - Epoch(train) [97][220/1879] lr: 2.0000e-02 eta: 1 day, 1:39:16 time: 0.9226 data_time: 0.0275 memory: 11089 grad_norm: 4.3231 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1888 loss: 2.1888 2022/08/03 11:58:55 - mmengine - INFO - Epoch(train) [97][240/1879] lr: 2.0000e-02 eta: 1 day, 1:38:57 time: 0.9114 data_time: 0.0275 memory: 11089 grad_norm: 4.1538 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9009 loss: 1.9009 2022/08/03 11:59:14 - mmengine - INFO - Epoch(train) [97][260/1879] lr: 2.0000e-02 eta: 1 day, 1:38:39 time: 0.9201 data_time: 0.0308 memory: 11089 grad_norm: 4.2617 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.9263 loss: 1.9263 2022/08/03 11:59:32 - mmengine - INFO - Epoch(train) [97][280/1879] lr: 2.0000e-02 eta: 1 day, 1:38:21 time: 0.9318 data_time: 0.0292 memory: 11089 grad_norm: 4.3321 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9087 loss: 1.9087 2022/08/03 11:59:51 - mmengine - INFO - Epoch(train) [97][300/1879] lr: 2.0000e-02 eta: 1 day, 1:38:03 time: 0.9170 data_time: 0.0250 memory: 11089 grad_norm: 4.1984 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8003 loss: 1.8003 2022/08/03 12:00:12 - mmengine - INFO - Epoch(train) [97][320/1879] lr: 2.0000e-02 eta: 1 day, 1:37:47 time: 1.0743 data_time: 0.0381 memory: 11089 grad_norm: 4.1304 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9052 loss: 1.9052 2022/08/03 12:00:31 - mmengine - INFO - Epoch(train) [97][340/1879] lr: 2.0000e-02 eta: 1 day, 1:37:28 time: 0.9230 data_time: 0.0288 memory: 11089 grad_norm: 4.2464 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0143 loss: 2.0143 2022/08/03 12:00:49 - mmengine - INFO - Epoch(train) [97][360/1879] lr: 2.0000e-02 eta: 1 day, 1:37:10 time: 0.9033 data_time: 0.0211 memory: 11089 grad_norm: 4.3507 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7540 loss: 1.7540 2022/08/03 12:01:07 - mmengine - INFO - Epoch(train) [97][380/1879] lr: 2.0000e-02 eta: 1 day, 1:36:52 time: 0.9119 data_time: 0.0255 memory: 11089 grad_norm: 4.1840 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7820 loss: 1.7820 2022/08/03 12:01:25 - mmengine - INFO - Epoch(train) [97][400/1879] lr: 2.0000e-02 eta: 1 day, 1:36:34 time: 0.9227 data_time: 0.0294 memory: 11089 grad_norm: 4.2333 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8308 loss: 1.8308 2022/08/03 12:01:44 - mmengine - INFO - Epoch(train) [97][420/1879] lr: 2.0000e-02 eta: 1 day, 1:36:15 time: 0.9139 data_time: 0.0247 memory: 11089 grad_norm: 4.1746 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7737 loss: 1.7737 2022/08/03 12:02:02 - mmengine - INFO - Epoch(train) [97][440/1879] lr: 2.0000e-02 eta: 1 day, 1:35:57 time: 0.9146 data_time: 0.0252 memory: 11089 grad_norm: 4.1936 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9388 loss: 1.9388 2022/08/03 12:02:20 - mmengine - INFO - Epoch(train) [97][460/1879] lr: 2.0000e-02 eta: 1 day, 1:35:39 time: 0.9091 data_time: 0.0299 memory: 11089 grad_norm: 4.2889 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7362 loss: 1.7362 2022/08/03 12:02:39 - mmengine - INFO - Epoch(train) [97][480/1879] lr: 2.0000e-02 eta: 1 day, 1:35:21 time: 0.9248 data_time: 0.0317 memory: 11089 grad_norm: 4.0875 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6870 loss: 1.6870 2022/08/03 12:02:57 - mmengine - INFO - Epoch(train) [97][500/1879] lr: 2.0000e-02 eta: 1 day, 1:35:03 time: 0.9092 data_time: 0.0261 memory: 11089 grad_norm: 4.2212 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.1082 loss: 2.1082 2022/08/03 12:03:15 - mmengine - INFO - Epoch(train) [97][520/1879] lr: 2.0000e-02 eta: 1 day, 1:34:44 time: 0.9202 data_time: 0.0242 memory: 11089 grad_norm: 4.4701 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8416 loss: 1.8416 2022/08/03 12:03:34 - mmengine - INFO - Epoch(train) [97][540/1879] lr: 2.0000e-02 eta: 1 day, 1:34:27 time: 0.9413 data_time: 0.0338 memory: 11089 grad_norm: 4.3110 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0086 loss: 2.0086 2022/08/03 12:03:52 - mmengine - INFO - Epoch(train) [97][560/1879] lr: 2.0000e-02 eta: 1 day, 1:34:08 time: 0.9095 data_time: 0.0302 memory: 11089 grad_norm: 4.2404 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8938 loss: 1.8938 2022/08/03 12:04:10 - mmengine - INFO - Epoch(train) [97][580/1879] lr: 2.0000e-02 eta: 1 day, 1:33:50 time: 0.9041 data_time: 0.0247 memory: 11089 grad_norm: 4.2877 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9684 loss: 1.9684 2022/08/03 12:04:29 - mmengine - INFO - Epoch(train) [97][600/1879] lr: 2.0000e-02 eta: 1 day, 1:33:32 time: 0.9086 data_time: 0.0269 memory: 11089 grad_norm: 4.2786 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7898 loss: 1.7898 2022/08/03 12:04:43 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 12:04:47 - mmengine - INFO - Epoch(train) [97][620/1879] lr: 2.0000e-02 eta: 1 day, 1:33:13 time: 0.9084 data_time: 0.0259 memory: 11089 grad_norm: 4.1528 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8458 loss: 1.8458 2022/08/03 12:05:05 - mmengine - INFO - Epoch(train) [97][640/1879] lr: 2.0000e-02 eta: 1 day, 1:32:55 time: 0.9201 data_time: 0.0248 memory: 11089 grad_norm: 4.2834 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0307 loss: 2.0307 2022/08/03 12:05:24 - mmengine - INFO - Epoch(train) [97][660/1879] lr: 2.0000e-02 eta: 1 day, 1:32:37 time: 0.9268 data_time: 0.0280 memory: 11089 grad_norm: 4.2583 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9916 loss: 1.9916 2022/08/03 12:05:42 - mmengine - INFO - Epoch(train) [97][680/1879] lr: 2.0000e-02 eta: 1 day, 1:32:19 time: 0.9115 data_time: 0.0334 memory: 11089 grad_norm: 4.3101 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9198 loss: 1.9198 2022/08/03 12:06:00 - mmengine - INFO - Epoch(train) [97][700/1879] lr: 2.0000e-02 eta: 1 day, 1:32:01 time: 0.9066 data_time: 0.0289 memory: 11089 grad_norm: 4.3516 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8890 loss: 1.8890 2022/08/03 12:06:18 - mmengine - INFO - Epoch(train) [97][720/1879] lr: 2.0000e-02 eta: 1 day, 1:31:42 time: 0.9134 data_time: 0.0274 memory: 11089 grad_norm: 4.3911 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 1.9342 loss: 1.9342 2022/08/03 12:06:37 - mmengine - INFO - Epoch(train) [97][740/1879] lr: 2.0000e-02 eta: 1 day, 1:31:24 time: 0.9123 data_time: 0.0252 memory: 11089 grad_norm: 4.3444 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8509 loss: 1.8509 2022/08/03 12:06:55 - mmengine - INFO - Epoch(train) [97][760/1879] lr: 2.0000e-02 eta: 1 day, 1:31:06 time: 0.9057 data_time: 0.0237 memory: 11089 grad_norm: 4.2961 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.1340 loss: 2.1340 2022/08/03 12:07:13 - mmengine - INFO - Epoch(train) [97][780/1879] lr: 2.0000e-02 eta: 1 day, 1:30:47 time: 0.9100 data_time: 0.0217 memory: 11089 grad_norm: 4.3465 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0734 loss: 2.0734 2022/08/03 12:07:31 - mmengine - INFO - Epoch(train) [97][800/1879] lr: 2.0000e-02 eta: 1 day, 1:30:29 time: 0.9075 data_time: 0.0262 memory: 11089 grad_norm: 4.2923 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0497 loss: 2.0497 2022/08/03 12:07:49 - mmengine - INFO - Epoch(train) [97][820/1879] lr: 2.0000e-02 eta: 1 day, 1:30:11 time: 0.9121 data_time: 0.0225 memory: 11089 grad_norm: 4.3426 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9578 loss: 1.9578 2022/08/03 12:08:07 - mmengine - INFO - Epoch(train) [97][840/1879] lr: 2.0000e-02 eta: 1 day, 1:29:53 time: 0.9055 data_time: 0.0237 memory: 11089 grad_norm: 4.1676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0765 loss: 2.0765 2022/08/03 12:08:26 - mmengine - INFO - Epoch(train) [97][860/1879] lr: 2.0000e-02 eta: 1 day, 1:29:34 time: 0.9127 data_time: 0.0226 memory: 11089 grad_norm: 4.2420 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9726 loss: 1.9726 2022/08/03 12:08:44 - mmengine - INFO - Epoch(train) [97][880/1879] lr: 2.0000e-02 eta: 1 day, 1:29:16 time: 0.9132 data_time: 0.0310 memory: 11089 grad_norm: 4.1858 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8099 loss: 1.8099 2022/08/03 12:09:02 - mmengine - INFO - Epoch(train) [97][900/1879] lr: 2.0000e-02 eta: 1 day, 1:28:58 time: 0.9149 data_time: 0.0236 memory: 11089 grad_norm: 4.2480 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9819 loss: 1.9819 2022/08/03 12:09:21 - mmengine - INFO - Epoch(train) [97][920/1879] lr: 2.0000e-02 eta: 1 day, 1:28:40 time: 0.9129 data_time: 0.0279 memory: 11089 grad_norm: 4.2664 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.0083 loss: 2.0083 2022/08/03 12:09:39 - mmengine - INFO - Epoch(train) [97][940/1879] lr: 2.0000e-02 eta: 1 day, 1:28:21 time: 0.9032 data_time: 0.0245 memory: 11089 grad_norm: 4.2469 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8922 loss: 1.8922 2022/08/03 12:09:57 - mmengine - INFO - Epoch(train) [97][960/1879] lr: 2.0000e-02 eta: 1 day, 1:28:03 time: 0.9090 data_time: 0.0236 memory: 11089 grad_norm: 4.2882 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0728 loss: 2.0728 2022/08/03 12:10:15 - mmengine - INFO - Epoch(train) [97][980/1879] lr: 2.0000e-02 eta: 1 day, 1:27:45 time: 0.9110 data_time: 0.0295 memory: 11089 grad_norm: 4.1220 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7548 loss: 1.7548 2022/08/03 12:10:34 - mmengine - INFO - Epoch(train) [97][1000/1879] lr: 2.0000e-02 eta: 1 day, 1:27:27 time: 0.9338 data_time: 0.0249 memory: 11089 grad_norm: 4.2222 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9377 loss: 1.9377 2022/08/03 12:10:52 - mmengine - INFO - Epoch(train) [97][1020/1879] lr: 2.0000e-02 eta: 1 day, 1:27:08 time: 0.9060 data_time: 0.0256 memory: 11089 grad_norm: 4.2719 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7814 loss: 1.7814 2022/08/03 12:11:10 - mmengine - INFO - Epoch(train) [97][1040/1879] lr: 2.0000e-02 eta: 1 day, 1:26:50 time: 0.9243 data_time: 0.0291 memory: 11089 grad_norm: 4.2655 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0717 loss: 2.0717 2022/08/03 12:11:29 - mmengine - INFO - Epoch(train) [97][1060/1879] lr: 2.0000e-02 eta: 1 day, 1:26:32 time: 0.9122 data_time: 0.0250 memory: 11089 grad_norm: 4.1428 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8757 loss: 1.8757 2022/08/03 12:11:47 - mmengine - INFO - Epoch(train) [97][1080/1879] lr: 2.0000e-02 eta: 1 day, 1:26:14 time: 0.9164 data_time: 0.0243 memory: 11089 grad_norm: 4.2167 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8389 loss: 1.8389 2022/08/03 12:12:05 - mmengine - INFO - Epoch(train) [97][1100/1879] lr: 2.0000e-02 eta: 1 day, 1:25:56 time: 0.9251 data_time: 0.0270 memory: 11089 grad_norm: 4.2348 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0150 loss: 2.0150 2022/08/03 12:12:24 - mmengine - INFO - Epoch(train) [97][1120/1879] lr: 2.0000e-02 eta: 1 day, 1:25:38 time: 0.9181 data_time: 0.0336 memory: 11089 grad_norm: 4.2346 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9222 loss: 1.9222 2022/08/03 12:12:42 - mmengine - INFO - Epoch(train) [97][1140/1879] lr: 2.0000e-02 eta: 1 day, 1:25:20 time: 0.9263 data_time: 0.0303 memory: 11089 grad_norm: 4.2878 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0756 loss: 2.0756 2022/08/03 12:13:01 - mmengine - INFO - Epoch(train) [97][1160/1879] lr: 2.0000e-02 eta: 1 day, 1:25:01 time: 0.9269 data_time: 0.0314 memory: 11089 grad_norm: 4.3306 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9372 loss: 1.9372 2022/08/03 12:13:19 - mmengine - INFO - Epoch(train) [97][1180/1879] lr: 2.0000e-02 eta: 1 day, 1:24:43 time: 0.9247 data_time: 0.0304 memory: 11089 grad_norm: 4.2572 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0117 loss: 2.0117 2022/08/03 12:13:38 - mmengine - INFO - Epoch(train) [97][1200/1879] lr: 2.0000e-02 eta: 1 day, 1:24:25 time: 0.9178 data_time: 0.0289 memory: 11089 grad_norm: 4.2170 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8846 loss: 1.8846 2022/08/03 12:13:56 - mmengine - INFO - Epoch(train) [97][1220/1879] lr: 2.0000e-02 eta: 1 day, 1:24:07 time: 0.9133 data_time: 0.0229 memory: 11089 grad_norm: 4.4080 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7362 loss: 1.7362 2022/08/03 12:14:15 - mmengine - INFO - Epoch(train) [97][1240/1879] lr: 2.0000e-02 eta: 1 day, 1:23:49 time: 0.9269 data_time: 0.0254 memory: 11089 grad_norm: 4.2092 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7997 loss: 1.7997 2022/08/03 12:14:33 - mmengine - INFO - Epoch(train) [97][1260/1879] lr: 2.0000e-02 eta: 1 day, 1:23:31 time: 0.9048 data_time: 0.0287 memory: 11089 grad_norm: 4.2388 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0548 loss: 2.0548 2022/08/03 12:14:51 - mmengine - INFO - Epoch(train) [97][1280/1879] lr: 2.0000e-02 eta: 1 day, 1:23:13 time: 0.9318 data_time: 0.0226 memory: 11089 grad_norm: 4.1427 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8734 loss: 1.8734 2022/08/03 12:15:10 - mmengine - INFO - Epoch(train) [97][1300/1879] lr: 2.0000e-02 eta: 1 day, 1:22:54 time: 0.9202 data_time: 0.0344 memory: 11089 grad_norm: 4.1431 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0026 loss: 2.0026 2022/08/03 12:15:28 - mmengine - INFO - Epoch(train) [97][1320/1879] lr: 2.0000e-02 eta: 1 day, 1:22:36 time: 0.9156 data_time: 0.0287 memory: 11089 grad_norm: 4.0555 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8402 loss: 1.8402 2022/08/03 12:15:47 - mmengine - INFO - Epoch(train) [97][1340/1879] lr: 2.0000e-02 eta: 1 day, 1:22:18 time: 0.9263 data_time: 0.0325 memory: 11089 grad_norm: 4.2579 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8749 loss: 1.8749 2022/08/03 12:16:05 - mmengine - INFO - Epoch(train) [97][1360/1879] lr: 2.0000e-02 eta: 1 day, 1:22:00 time: 0.9266 data_time: 0.0289 memory: 11089 grad_norm: 4.4096 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0335 loss: 2.0335 2022/08/03 12:16:23 - mmengine - INFO - Epoch(train) [97][1380/1879] lr: 2.0000e-02 eta: 1 day, 1:21:42 time: 0.9148 data_time: 0.0304 memory: 11089 grad_norm: 4.3746 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9443 loss: 1.9443 2022/08/03 12:16:42 - mmengine - INFO - Epoch(train) [97][1400/1879] lr: 2.0000e-02 eta: 1 day, 1:21:24 time: 0.9208 data_time: 0.0316 memory: 11089 grad_norm: 4.2905 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1976 loss: 2.1976 2022/08/03 12:17:01 - mmengine - INFO - Epoch(train) [97][1420/1879] lr: 2.0000e-02 eta: 1 day, 1:21:06 time: 0.9385 data_time: 0.0339 memory: 11089 grad_norm: 4.2727 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9187 loss: 1.9187 2022/08/03 12:17:19 - mmengine - INFO - Epoch(train) [97][1440/1879] lr: 2.0000e-02 eta: 1 day, 1:20:48 time: 0.9277 data_time: 0.0269 memory: 11089 grad_norm: 4.2794 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9517 loss: 1.9517 2022/08/03 12:17:38 - mmengine - INFO - Epoch(train) [97][1460/1879] lr: 2.0000e-02 eta: 1 day, 1:20:29 time: 0.9199 data_time: 0.0310 memory: 11089 grad_norm: 4.1900 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8891 loss: 1.8891 2022/08/03 12:17:56 - mmengine - INFO - Epoch(train) [97][1480/1879] lr: 2.0000e-02 eta: 1 day, 1:20:11 time: 0.9212 data_time: 0.0214 memory: 11089 grad_norm: 4.2648 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7460 loss: 1.7460 2022/08/03 12:18:14 - mmengine - INFO - Epoch(train) [97][1500/1879] lr: 2.0000e-02 eta: 1 day, 1:19:53 time: 0.9215 data_time: 0.0265 memory: 11089 grad_norm: 4.3387 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0076 loss: 2.0076 2022/08/03 12:18:32 - mmengine - INFO - Epoch(train) [97][1520/1879] lr: 2.0000e-02 eta: 1 day, 1:19:35 time: 0.9034 data_time: 0.0297 memory: 11089 grad_norm: 4.2264 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0912 loss: 2.0912 2022/08/03 12:18:51 - mmengine - INFO - Epoch(train) [97][1540/1879] lr: 2.0000e-02 eta: 1 day, 1:19:17 time: 0.9137 data_time: 0.0234 memory: 11089 grad_norm: 4.1762 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0153 loss: 2.0153 2022/08/03 12:19:09 - mmengine - INFO - Epoch(train) [97][1560/1879] lr: 2.0000e-02 eta: 1 day, 1:18:58 time: 0.9194 data_time: 0.0245 memory: 11089 grad_norm: 4.2774 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7855 loss: 1.7855 2022/08/03 12:19:28 - mmengine - INFO - Epoch(train) [97][1580/1879] lr: 2.0000e-02 eta: 1 day, 1:18:40 time: 0.9190 data_time: 0.0307 memory: 11089 grad_norm: 4.3049 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8315 loss: 1.8315 2022/08/03 12:19:46 - mmengine - INFO - Epoch(train) [97][1600/1879] lr: 2.0000e-02 eta: 1 day, 1:18:22 time: 0.9234 data_time: 0.0258 memory: 11089 grad_norm: 4.2370 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1894 loss: 2.1894 2022/08/03 12:20:01 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 12:20:04 - mmengine - INFO - Epoch(train) [97][1620/1879] lr: 2.0000e-02 eta: 1 day, 1:18:04 time: 0.9195 data_time: 0.0283 memory: 11089 grad_norm: 4.1859 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7724 loss: 1.7724 2022/08/03 12:20:23 - mmengine - INFO - Epoch(train) [97][1640/1879] lr: 2.0000e-02 eta: 1 day, 1:17:46 time: 0.9219 data_time: 0.0294 memory: 11089 grad_norm: 4.2308 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0708 loss: 2.0708 2022/08/03 12:20:41 - mmengine - INFO - Epoch(train) [97][1660/1879] lr: 2.0000e-02 eta: 1 day, 1:17:28 time: 0.9128 data_time: 0.0240 memory: 11089 grad_norm: 4.2460 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8803 loss: 1.8803 2022/08/03 12:21:00 - mmengine - INFO - Epoch(train) [97][1680/1879] lr: 2.0000e-02 eta: 1 day, 1:17:10 time: 0.9388 data_time: 0.0320 memory: 11089 grad_norm: 4.2698 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0265 loss: 2.0265 2022/08/03 12:21:18 - mmengine - INFO - Epoch(train) [97][1700/1879] lr: 2.0000e-02 eta: 1 day, 1:16:52 time: 0.9274 data_time: 0.0285 memory: 11089 grad_norm: 4.2043 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8874 loss: 1.8874 2022/08/03 12:21:37 - mmengine - INFO - Epoch(train) [97][1720/1879] lr: 2.0000e-02 eta: 1 day, 1:16:33 time: 0.9208 data_time: 0.0322 memory: 11089 grad_norm: 4.1811 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8975 loss: 1.8975 2022/08/03 12:21:55 - mmengine - INFO - Epoch(train) [97][1740/1879] lr: 2.0000e-02 eta: 1 day, 1:16:15 time: 0.9033 data_time: 0.0237 memory: 11089 grad_norm: 4.3436 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9258 loss: 1.9258 2022/08/03 12:22:13 - mmengine - INFO - Epoch(train) [97][1760/1879] lr: 2.0000e-02 eta: 1 day, 1:15:57 time: 0.9121 data_time: 0.0294 memory: 11089 grad_norm: 4.1869 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0016 loss: 2.0016 2022/08/03 12:22:32 - mmengine - INFO - Epoch(train) [97][1780/1879] lr: 2.0000e-02 eta: 1 day, 1:15:39 time: 0.9205 data_time: 0.0244 memory: 11089 grad_norm: 4.1830 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8559 loss: 1.8559 2022/08/03 12:22:50 - mmengine - INFO - Epoch(train) [97][1800/1879] lr: 2.0000e-02 eta: 1 day, 1:15:20 time: 0.9161 data_time: 0.0267 memory: 11089 grad_norm: 4.3598 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9586 loss: 1.9586 2022/08/03 12:23:08 - mmengine - INFO - Epoch(train) [97][1820/1879] lr: 2.0000e-02 eta: 1 day, 1:15:02 time: 0.9149 data_time: 0.0276 memory: 11089 grad_norm: 4.2704 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.9458 loss: 1.9458 2022/08/03 12:23:27 - mmengine - INFO - Epoch(train) [97][1840/1879] lr: 2.0000e-02 eta: 1 day, 1:14:44 time: 0.9176 data_time: 0.0296 memory: 11089 grad_norm: 4.2217 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2087 loss: 2.2087 2022/08/03 12:23:45 - mmengine - INFO - Epoch(train) [97][1860/1879] lr: 2.0000e-02 eta: 1 day, 1:14:26 time: 0.9254 data_time: 0.0344 memory: 11089 grad_norm: 4.2983 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8216 loss: 1.8216 2022/08/03 12:24:02 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 12:24:02 - mmengine - INFO - Epoch(train) [97][1879/1879] lr: 2.0000e-02 eta: 1 day, 1:14:26 time: 0.8948 data_time: 0.0264 memory: 11089 grad_norm: 4.1616 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.0208 loss: 2.0208 2022/08/03 12:24:22 - mmengine - INFO - Epoch(train) [98][20/1879] lr: 2.0000e-02 eta: 1 day, 1:13:42 time: 1.0023 data_time: 0.1267 memory: 11089 grad_norm: 4.1518 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6236 loss: 1.6236 2022/08/03 12:24:40 - mmengine - INFO - Epoch(train) [98][40/1879] lr: 2.0000e-02 eta: 1 day, 1:13:24 time: 0.9082 data_time: 0.0254 memory: 11089 grad_norm: 4.2184 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8825 loss: 1.8825 2022/08/03 12:24:59 - mmengine - INFO - Epoch(train) [98][60/1879] lr: 2.0000e-02 eta: 1 day, 1:13:06 time: 0.9327 data_time: 0.0351 memory: 11089 grad_norm: 4.2103 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9827 loss: 1.9827 2022/08/03 12:25:18 - mmengine - INFO - Epoch(train) [98][80/1879] lr: 2.0000e-02 eta: 1 day, 1:12:47 time: 0.9286 data_time: 0.0308 memory: 11089 grad_norm: 4.2236 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0041 loss: 2.0041 2022/08/03 12:25:36 - mmengine - INFO - Epoch(train) [98][100/1879] lr: 2.0000e-02 eta: 1 day, 1:12:29 time: 0.9294 data_time: 0.0326 memory: 11089 grad_norm: 4.1807 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8882 loss: 1.8882 2022/08/03 12:25:55 - mmengine - INFO - Epoch(train) [98][120/1879] lr: 2.0000e-02 eta: 1 day, 1:12:11 time: 0.9226 data_time: 0.0411 memory: 11089 grad_norm: 4.2374 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9306 loss: 1.9306 2022/08/03 12:26:13 - mmengine - INFO - Epoch(train) [98][140/1879] lr: 2.0000e-02 eta: 1 day, 1:11:53 time: 0.9307 data_time: 0.0318 memory: 11089 grad_norm: 4.2502 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8935 loss: 1.8935 2022/08/03 12:26:31 - mmengine - INFO - Epoch(train) [98][160/1879] lr: 2.0000e-02 eta: 1 day, 1:11:35 time: 0.9064 data_time: 0.0275 memory: 11089 grad_norm: 4.1188 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9021 loss: 1.9021 2022/08/03 12:26:50 - mmengine - INFO - Epoch(train) [98][180/1879] lr: 2.0000e-02 eta: 1 day, 1:11:17 time: 0.9195 data_time: 0.0236 memory: 11089 grad_norm: 4.3356 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8406 loss: 1.8406 2022/08/03 12:27:08 - mmengine - INFO - Epoch(train) [98][200/1879] lr: 2.0000e-02 eta: 1 day, 1:10:58 time: 0.9031 data_time: 0.0280 memory: 11089 grad_norm: 4.2545 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7584 loss: 1.7584 2022/08/03 12:27:26 - mmengine - INFO - Epoch(train) [98][220/1879] lr: 2.0000e-02 eta: 1 day, 1:10:40 time: 0.9075 data_time: 0.0325 memory: 11089 grad_norm: 4.3952 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.9947 loss: 1.9947 2022/08/03 12:27:44 - mmengine - INFO - Epoch(train) [98][240/1879] lr: 2.0000e-02 eta: 1 day, 1:10:22 time: 0.9029 data_time: 0.0230 memory: 11089 grad_norm: 4.1301 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8659 loss: 1.8659 2022/08/03 12:28:02 - mmengine - INFO - Epoch(train) [98][260/1879] lr: 2.0000e-02 eta: 1 day, 1:10:03 time: 0.8854 data_time: 0.0199 memory: 11089 grad_norm: 4.2337 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0434 loss: 2.0434 2022/08/03 12:28:20 - mmengine - INFO - Epoch(train) [98][280/1879] lr: 2.0000e-02 eta: 1 day, 1:09:45 time: 0.9276 data_time: 0.0314 memory: 11089 grad_norm: 4.2614 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.8418 loss: 1.8418 2022/08/03 12:28:39 - mmengine - INFO - Epoch(train) [98][300/1879] lr: 2.0000e-02 eta: 1 day, 1:09:27 time: 0.9264 data_time: 0.0288 memory: 11089 grad_norm: 4.2366 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7392 loss: 1.7392 2022/08/03 12:28:57 - mmengine - INFO - Epoch(train) [98][320/1879] lr: 2.0000e-02 eta: 1 day, 1:09:09 time: 0.9046 data_time: 0.0276 memory: 11089 grad_norm: 4.3157 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7953 loss: 1.7953 2022/08/03 12:29:15 - mmengine - INFO - Epoch(train) [98][340/1879] lr: 2.0000e-02 eta: 1 day, 1:08:51 time: 0.9296 data_time: 0.0318 memory: 11089 grad_norm: 4.3268 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0135 loss: 2.0135 2022/08/03 12:29:34 - mmengine - INFO - Epoch(train) [98][360/1879] lr: 2.0000e-02 eta: 1 day, 1:08:33 time: 0.9264 data_time: 0.0306 memory: 11089 grad_norm: 4.3455 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9846 loss: 1.9846 2022/08/03 12:29:52 - mmengine - INFO - Epoch(train) [98][380/1879] lr: 2.0000e-02 eta: 1 day, 1:08:14 time: 0.9212 data_time: 0.0255 memory: 11089 grad_norm: 4.2827 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8177 loss: 1.8177 2022/08/03 12:30:11 - mmengine - INFO - Epoch(train) [98][400/1879] lr: 2.0000e-02 eta: 1 day, 1:07:56 time: 0.9091 data_time: 0.0242 memory: 11089 grad_norm: 4.3184 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8442 loss: 1.8442 2022/08/03 12:30:29 - mmengine - INFO - Epoch(train) [98][420/1879] lr: 2.0000e-02 eta: 1 day, 1:07:38 time: 0.9252 data_time: 0.0256 memory: 11089 grad_norm: 4.2136 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8401 loss: 1.8401 2022/08/03 12:30:48 - mmengine - INFO - Epoch(train) [98][440/1879] lr: 2.0000e-02 eta: 1 day, 1:07:20 time: 0.9278 data_time: 0.0293 memory: 11089 grad_norm: 4.3106 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8247 loss: 1.8247 2022/08/03 12:31:06 - mmengine - INFO - Epoch(train) [98][460/1879] lr: 2.0000e-02 eta: 1 day, 1:07:02 time: 0.9117 data_time: 0.0289 memory: 11089 grad_norm: 4.1735 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8175 loss: 1.8175 2022/08/03 12:31:24 - mmengine - INFO - Epoch(train) [98][480/1879] lr: 2.0000e-02 eta: 1 day, 1:06:44 time: 0.9077 data_time: 0.0287 memory: 11089 grad_norm: 4.2496 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8840 loss: 1.8840 2022/08/03 12:31:43 - mmengine - INFO - Epoch(train) [98][500/1879] lr: 2.0000e-02 eta: 1 day, 1:06:26 time: 0.9468 data_time: 0.0258 memory: 11089 grad_norm: 4.2705 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9948 loss: 1.9948 2022/08/03 12:32:02 - mmengine - INFO - Epoch(train) [98][520/1879] lr: 2.0000e-02 eta: 1 day, 1:06:08 time: 0.9287 data_time: 0.0285 memory: 11089 grad_norm: 4.1536 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8958 loss: 1.8958 2022/08/03 12:32:20 - mmengine - INFO - Epoch(train) [98][540/1879] lr: 2.0000e-02 eta: 1 day, 1:05:50 time: 0.9424 data_time: 0.0255 memory: 11089 grad_norm: 4.1699 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9711 loss: 1.9711 2022/08/03 12:32:39 - mmengine - INFO - Epoch(train) [98][560/1879] lr: 2.0000e-02 eta: 1 day, 1:05:31 time: 0.9076 data_time: 0.0254 memory: 11089 grad_norm: 4.2271 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1095 loss: 2.1095 2022/08/03 12:32:57 - mmengine - INFO - Epoch(train) [98][580/1879] lr: 2.0000e-02 eta: 1 day, 1:05:13 time: 0.9187 data_time: 0.0317 memory: 11089 grad_norm: 4.1260 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7678 loss: 1.7678 2022/08/03 12:33:15 - mmengine - INFO - Epoch(train) [98][600/1879] lr: 2.0000e-02 eta: 1 day, 1:04:55 time: 0.9035 data_time: 0.0234 memory: 11089 grad_norm: 4.2414 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6429 loss: 1.6429 2022/08/03 12:33:34 - mmengine - INFO - Epoch(train) [98][620/1879] lr: 2.0000e-02 eta: 1 day, 1:04:37 time: 0.9242 data_time: 0.0330 memory: 11089 grad_norm: 4.0821 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7649 loss: 1.7649 2022/08/03 12:33:52 - mmengine - INFO - Epoch(train) [98][640/1879] lr: 2.0000e-02 eta: 1 day, 1:04:18 time: 0.9115 data_time: 0.0284 memory: 11089 grad_norm: 4.2275 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8096 loss: 1.8096 2022/08/03 12:34:10 - mmengine - INFO - Epoch(train) [98][660/1879] lr: 2.0000e-02 eta: 1 day, 1:04:00 time: 0.9158 data_time: 0.0342 memory: 11089 grad_norm: 4.2756 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9651 loss: 1.9651 2022/08/03 12:34:28 - mmengine - INFO - Epoch(train) [98][680/1879] lr: 2.0000e-02 eta: 1 day, 1:03:42 time: 0.9049 data_time: 0.0269 memory: 11089 grad_norm: 4.2655 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9349 loss: 1.9349 2022/08/03 12:34:47 - mmengine - INFO - Epoch(train) [98][700/1879] lr: 2.0000e-02 eta: 1 day, 1:03:24 time: 0.9237 data_time: 0.0275 memory: 11089 grad_norm: 4.4082 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9560 loss: 1.9560 2022/08/03 12:35:05 - mmengine - INFO - Epoch(train) [98][720/1879] lr: 2.0000e-02 eta: 1 day, 1:03:06 time: 0.9103 data_time: 0.0293 memory: 11089 grad_norm: 4.2694 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9581 loss: 1.9581 2022/08/03 12:35:21 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 12:35:23 - mmengine - INFO - Epoch(train) [98][740/1879] lr: 2.0000e-02 eta: 1 day, 1:02:47 time: 0.9261 data_time: 0.0370 memory: 11089 grad_norm: 4.1888 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0350 loss: 2.0350 2022/08/03 12:35:42 - mmengine - INFO - Epoch(train) [98][760/1879] lr: 2.0000e-02 eta: 1 day, 1:02:29 time: 0.9174 data_time: 0.0310 memory: 11089 grad_norm: 4.3261 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2717 loss: 2.2717 2022/08/03 12:36:01 - mmengine - INFO - Epoch(train) [98][780/1879] lr: 2.0000e-02 eta: 1 day, 1:02:11 time: 0.9375 data_time: 0.0284 memory: 11089 grad_norm: 4.1543 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8324 loss: 1.8324 2022/08/03 12:36:19 - mmengine - INFO - Epoch(train) [98][800/1879] lr: 2.0000e-02 eta: 1 day, 1:01:53 time: 0.9201 data_time: 0.0306 memory: 11089 grad_norm: 4.2671 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1216 loss: 2.1216 2022/08/03 12:36:37 - mmengine - INFO - Epoch(train) [98][820/1879] lr: 2.0000e-02 eta: 1 day, 1:01:35 time: 0.9168 data_time: 0.0289 memory: 11089 grad_norm: 4.2889 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0014 loss: 2.0014 2022/08/03 12:36:55 - mmengine - INFO - Epoch(train) [98][840/1879] lr: 2.0000e-02 eta: 1 day, 1:01:17 time: 0.9099 data_time: 0.0268 memory: 11089 grad_norm: 4.2114 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8941 loss: 1.8941 2022/08/03 12:37:14 - mmengine - INFO - Epoch(train) [98][860/1879] lr: 2.0000e-02 eta: 1 day, 1:00:58 time: 0.9150 data_time: 0.0251 memory: 11089 grad_norm: 4.2068 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7842 loss: 1.7842 2022/08/03 12:37:33 - mmengine - INFO - Epoch(train) [98][880/1879] lr: 2.0000e-02 eta: 1 day, 1:00:40 time: 0.9314 data_time: 0.0262 memory: 11089 grad_norm: 4.1651 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7782 loss: 1.7782 2022/08/03 12:37:51 - mmengine - INFO - Epoch(train) [98][900/1879] lr: 2.0000e-02 eta: 1 day, 1:00:22 time: 0.9277 data_time: 0.0342 memory: 11089 grad_norm: 4.1680 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.9584 loss: 1.9584 2022/08/03 12:38:09 - mmengine - INFO - Epoch(train) [98][920/1879] lr: 2.0000e-02 eta: 1 day, 1:00:04 time: 0.9198 data_time: 0.0281 memory: 11089 grad_norm: 4.2749 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2404 loss: 2.2404 2022/08/03 12:38:28 - mmengine - INFO - Epoch(train) [98][940/1879] lr: 2.0000e-02 eta: 1 day, 0:59:46 time: 0.9271 data_time: 0.0265 memory: 11089 grad_norm: 4.2880 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8548 loss: 1.8548 2022/08/03 12:38:47 - mmengine - INFO - Epoch(train) [98][960/1879] lr: 2.0000e-02 eta: 1 day, 0:59:28 time: 0.9280 data_time: 0.0320 memory: 11089 grad_norm: 4.3043 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9414 loss: 1.9414 2022/08/03 12:39:05 - mmengine - INFO - Epoch(train) [98][980/1879] lr: 2.0000e-02 eta: 1 day, 0:59:10 time: 0.9246 data_time: 0.0291 memory: 11089 grad_norm: 4.2588 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7734 loss: 1.7734 2022/08/03 12:39:23 - mmengine - INFO - Epoch(train) [98][1000/1879] lr: 2.0000e-02 eta: 1 day, 0:58:52 time: 0.9119 data_time: 0.0261 memory: 11089 grad_norm: 4.2353 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8312 loss: 1.8312 2022/08/03 12:39:42 - mmengine - INFO - Epoch(train) [98][1020/1879] lr: 2.0000e-02 eta: 1 day, 0:58:34 time: 0.9282 data_time: 0.0335 memory: 11089 grad_norm: 4.2645 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8526 loss: 1.8526 2022/08/03 12:40:00 - mmengine - INFO - Epoch(train) [98][1040/1879] lr: 2.0000e-02 eta: 1 day, 0:58:15 time: 0.9023 data_time: 0.0240 memory: 11089 grad_norm: 4.3943 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1319 loss: 2.1319 2022/08/03 12:40:18 - mmengine - INFO - Epoch(train) [98][1060/1879] lr: 2.0000e-02 eta: 1 day, 0:57:57 time: 0.9158 data_time: 0.0261 memory: 11089 grad_norm: 4.2855 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7965 loss: 1.7965 2022/08/03 12:40:37 - mmengine - INFO - Epoch(train) [98][1080/1879] lr: 2.0000e-02 eta: 1 day, 0:57:39 time: 0.9386 data_time: 0.0300 memory: 11089 grad_norm: 4.1674 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.9421 loss: 1.9421 2022/08/03 12:40:55 - mmengine - INFO - Epoch(train) [98][1100/1879] lr: 2.0000e-02 eta: 1 day, 0:57:21 time: 0.9082 data_time: 0.0261 memory: 11089 grad_norm: 4.1269 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7239 loss: 1.7239 2022/08/03 12:41:14 - mmengine - INFO - Epoch(train) [98][1120/1879] lr: 2.0000e-02 eta: 1 day, 0:57:03 time: 0.9319 data_time: 0.0291 memory: 11089 grad_norm: 4.2176 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8563 loss: 1.8563 2022/08/03 12:41:32 - mmengine - INFO - Epoch(train) [98][1140/1879] lr: 2.0000e-02 eta: 1 day, 0:56:45 time: 0.9293 data_time: 0.0288 memory: 11089 grad_norm: 4.2597 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7513 loss: 1.7513 2022/08/03 12:41:51 - mmengine - INFO - Epoch(train) [98][1160/1879] lr: 2.0000e-02 eta: 1 day, 0:56:27 time: 0.9270 data_time: 0.0281 memory: 11089 grad_norm: 4.2171 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8090 loss: 1.8090 2022/08/03 12:42:09 - mmengine - INFO - Epoch(train) [98][1180/1879] lr: 2.0000e-02 eta: 1 day, 0:56:08 time: 0.9123 data_time: 0.0235 memory: 11089 grad_norm: 4.2595 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.7500 loss: 1.7500 2022/08/03 12:42:27 - mmengine - INFO - Epoch(train) [98][1200/1879] lr: 2.0000e-02 eta: 1 day, 0:55:50 time: 0.9009 data_time: 0.0283 memory: 11089 grad_norm: 4.2298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7869 loss: 1.7869 2022/08/03 12:42:45 - mmengine - INFO - Epoch(train) [98][1220/1879] lr: 2.0000e-02 eta: 1 day, 0:55:32 time: 0.9109 data_time: 0.0281 memory: 11089 grad_norm: 4.2844 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8708 loss: 1.8708 2022/08/03 12:43:04 - mmengine - INFO - Epoch(train) [98][1240/1879] lr: 2.0000e-02 eta: 1 day, 0:55:14 time: 0.9224 data_time: 0.0264 memory: 11089 grad_norm: 4.2878 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0396 loss: 2.0396 2022/08/03 12:43:22 - mmengine - INFO - Epoch(train) [98][1260/1879] lr: 2.0000e-02 eta: 1 day, 0:54:56 time: 0.9258 data_time: 0.0311 memory: 11089 grad_norm: 4.1511 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0454 loss: 2.0454 2022/08/03 12:43:41 - mmengine - INFO - Epoch(train) [98][1280/1879] lr: 2.0000e-02 eta: 1 day, 0:54:37 time: 0.9105 data_time: 0.0263 memory: 11089 grad_norm: 4.2086 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7852 loss: 1.7852 2022/08/03 12:43:59 - mmengine - INFO - Epoch(train) [98][1300/1879] lr: 2.0000e-02 eta: 1 day, 0:54:19 time: 0.9175 data_time: 0.0294 memory: 11089 grad_norm: 4.1928 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7645 loss: 1.7645 2022/08/03 12:44:17 - mmengine - INFO - Epoch(train) [98][1320/1879] lr: 2.0000e-02 eta: 1 day, 0:54:01 time: 0.9133 data_time: 0.0284 memory: 11089 grad_norm: 4.2278 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9148 loss: 1.9148 2022/08/03 12:44:35 - mmengine - INFO - Epoch(train) [98][1340/1879] lr: 2.0000e-02 eta: 1 day, 0:53:43 time: 0.9070 data_time: 0.0210 memory: 11089 grad_norm: 4.1920 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8566 loss: 1.8566 2022/08/03 12:44:54 - mmengine - INFO - Epoch(train) [98][1360/1879] lr: 2.0000e-02 eta: 1 day, 0:53:25 time: 0.9566 data_time: 0.0282 memory: 11089 grad_norm: 4.2349 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0123 loss: 2.0123 2022/08/03 12:45:13 - mmengine - INFO - Epoch(train) [98][1380/1879] lr: 2.0000e-02 eta: 1 day, 0:53:07 time: 0.9355 data_time: 0.0311 memory: 11089 grad_norm: 4.2585 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8612 loss: 1.8612 2022/08/03 12:45:32 - mmengine - INFO - Epoch(train) [98][1400/1879] lr: 2.0000e-02 eta: 1 day, 0:52:49 time: 0.9220 data_time: 0.0331 memory: 11089 grad_norm: 4.2975 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9498 loss: 1.9498 2022/08/03 12:45:50 - mmengine - INFO - Epoch(train) [98][1420/1879] lr: 2.0000e-02 eta: 1 day, 0:52:30 time: 0.9166 data_time: 0.0258 memory: 11089 grad_norm: 4.1888 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7495 loss: 1.7495 2022/08/03 12:46:08 - mmengine - INFO - Epoch(train) [98][1440/1879] lr: 2.0000e-02 eta: 1 day, 0:52:12 time: 0.9177 data_time: 0.0314 memory: 11089 grad_norm: 4.2544 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7512 loss: 1.7512 2022/08/03 12:46:27 - mmengine - INFO - Epoch(train) [98][1460/1879] lr: 2.0000e-02 eta: 1 day, 0:51:54 time: 0.9394 data_time: 0.0250 memory: 11089 grad_norm: 4.2978 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0434 loss: 2.0434 2022/08/03 12:46:45 - mmengine - INFO - Epoch(train) [98][1480/1879] lr: 2.0000e-02 eta: 1 day, 0:51:36 time: 0.9082 data_time: 0.0250 memory: 11089 grad_norm: 4.1548 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0300 loss: 2.0300 2022/08/03 12:47:04 - mmengine - INFO - Epoch(train) [98][1500/1879] lr: 2.0000e-02 eta: 1 day, 0:51:18 time: 0.9198 data_time: 0.0270 memory: 11089 grad_norm: 4.2073 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7124 loss: 1.7124 2022/08/03 12:47:22 - mmengine - INFO - Epoch(train) [98][1520/1879] lr: 2.0000e-02 eta: 1 day, 0:51:00 time: 0.9219 data_time: 0.0362 memory: 11089 grad_norm: 4.2315 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9140 loss: 1.9140 2022/08/03 12:47:40 - mmengine - INFO - Epoch(train) [98][1540/1879] lr: 2.0000e-02 eta: 1 day, 0:50:41 time: 0.9108 data_time: 0.0273 memory: 11089 grad_norm: 4.2420 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8365 loss: 1.8365 2022/08/03 12:47:59 - mmengine - INFO - Epoch(train) [98][1560/1879] lr: 2.0000e-02 eta: 1 day, 0:50:23 time: 0.9162 data_time: 0.0274 memory: 11089 grad_norm: 4.1193 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9770 loss: 1.9770 2022/08/03 12:48:17 - mmengine - INFO - Epoch(train) [98][1580/1879] lr: 2.0000e-02 eta: 1 day, 0:50:05 time: 0.9027 data_time: 0.0286 memory: 11089 grad_norm: 4.1839 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2828 loss: 2.2828 2022/08/03 12:48:35 - mmengine - INFO - Epoch(train) [98][1600/1879] lr: 2.0000e-02 eta: 1 day, 0:49:47 time: 0.9179 data_time: 0.0238 memory: 11089 grad_norm: 4.3563 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8997 loss: 1.8997 2022/08/03 12:48:54 - mmengine - INFO - Epoch(train) [98][1620/1879] lr: 2.0000e-02 eta: 1 day, 0:49:29 time: 0.9265 data_time: 0.0338 memory: 11089 grad_norm: 4.3017 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9815 loss: 1.9815 2022/08/03 12:49:12 - mmengine - INFO - Epoch(train) [98][1640/1879] lr: 2.0000e-02 eta: 1 day, 0:49:10 time: 0.9190 data_time: 0.0237 memory: 11089 grad_norm: 4.1218 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.9222 loss: 1.9222 2022/08/03 12:49:30 - mmengine - INFO - Epoch(train) [98][1660/1879] lr: 2.0000e-02 eta: 1 day, 0:48:52 time: 0.9123 data_time: 0.0234 memory: 11089 grad_norm: 4.2104 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9752 loss: 1.9752 2022/08/03 12:49:49 - mmengine - INFO - Epoch(train) [98][1680/1879] lr: 2.0000e-02 eta: 1 day, 0:48:34 time: 0.9192 data_time: 0.0238 memory: 11089 grad_norm: 4.1247 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9113 loss: 1.9113 2022/08/03 12:50:07 - mmengine - INFO - Epoch(train) [98][1700/1879] lr: 2.0000e-02 eta: 1 day, 0:48:16 time: 0.9161 data_time: 0.0344 memory: 11089 grad_norm: 4.3519 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0537 loss: 2.0537 2022/08/03 12:50:25 - mmengine - INFO - Epoch(train) [98][1720/1879] lr: 2.0000e-02 eta: 1 day, 0:47:57 time: 0.8889 data_time: 0.0200 memory: 11089 grad_norm: 4.1783 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8750 loss: 1.8750 2022/08/03 12:50:41 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 12:50:43 - mmengine - INFO - Epoch(train) [98][1740/1879] lr: 2.0000e-02 eta: 1 day, 0:47:39 time: 0.9299 data_time: 0.0384 memory: 11089 grad_norm: 4.2896 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8978 loss: 1.8978 2022/08/03 12:51:02 - mmengine - INFO - Epoch(train) [98][1760/1879] lr: 2.0000e-02 eta: 1 day, 0:47:21 time: 0.9202 data_time: 0.0225 memory: 11089 grad_norm: 4.2313 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1254 loss: 2.1254 2022/08/03 12:51:20 - mmengine - INFO - Epoch(train) [98][1780/1879] lr: 2.0000e-02 eta: 1 day, 0:47:03 time: 0.9108 data_time: 0.0302 memory: 11089 grad_norm: 4.3167 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8400 loss: 1.8400 2022/08/03 12:51:38 - mmengine - INFO - Epoch(train) [98][1800/1879] lr: 2.0000e-02 eta: 1 day, 0:46:45 time: 0.9047 data_time: 0.0275 memory: 11089 grad_norm: 4.2841 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6845 loss: 1.6845 2022/08/03 12:51:56 - mmengine - INFO - Epoch(train) [98][1820/1879] lr: 2.0000e-02 eta: 1 day, 0:46:26 time: 0.9191 data_time: 0.0312 memory: 11089 grad_norm: 4.2988 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.2218 loss: 2.2218 2022/08/03 12:52:14 - mmengine - INFO - Epoch(train) [98][1840/1879] lr: 2.0000e-02 eta: 1 day, 0:46:08 time: 0.8979 data_time: 0.0250 memory: 11089 grad_norm: 4.2178 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8899 loss: 1.8899 2022/08/03 12:52:33 - mmengine - INFO - Epoch(train) [98][1860/1879] lr: 2.0000e-02 eta: 1 day, 0:45:50 time: 0.9183 data_time: 0.0277 memory: 11089 grad_norm: 4.2673 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9553 loss: 1.9553 2022/08/03 12:52:50 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 12:52:50 - mmengine - INFO - Epoch(train) [98][1879/1879] lr: 2.0000e-02 eta: 1 day, 0:45:50 time: 0.9210 data_time: 0.0365 memory: 11089 grad_norm: 4.2900 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.7909 loss: 1.7909 2022/08/03 12:53:11 - mmengine - INFO - Epoch(train) [99][20/1879] lr: 2.0000e-02 eta: 1 day, 0:45:06 time: 1.0286 data_time: 0.1325 memory: 11089 grad_norm: 4.2144 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8381 loss: 1.8381 2022/08/03 12:53:29 - mmengine - INFO - Epoch(train) [99][40/1879] lr: 2.0000e-02 eta: 1 day, 0:44:48 time: 0.9041 data_time: 0.0279 memory: 11089 grad_norm: 4.2103 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9458 loss: 1.9458 2022/08/03 12:53:48 - mmengine - INFO - Epoch(train) [99][60/1879] lr: 2.0000e-02 eta: 1 day, 0:44:30 time: 0.9206 data_time: 0.0331 memory: 11089 grad_norm: 4.2495 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8986 loss: 1.8986 2022/08/03 12:54:06 - mmengine - INFO - Epoch(train) [99][80/1879] lr: 2.0000e-02 eta: 1 day, 0:44:11 time: 0.9055 data_time: 0.0269 memory: 11089 grad_norm: 4.2148 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7476 loss: 1.7476 2022/08/03 12:54:24 - mmengine - INFO - Epoch(train) [99][100/1879] lr: 2.0000e-02 eta: 1 day, 0:43:53 time: 0.9055 data_time: 0.0281 memory: 11089 grad_norm: 4.1276 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0499 loss: 2.0499 2022/08/03 12:54:42 - mmengine - INFO - Epoch(train) [99][120/1879] lr: 2.0000e-02 eta: 1 day, 0:43:35 time: 0.9245 data_time: 0.0230 memory: 11089 grad_norm: 4.2619 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0242 loss: 2.0242 2022/08/03 12:55:01 - mmengine - INFO - Epoch(train) [99][140/1879] lr: 2.0000e-02 eta: 1 day, 0:43:17 time: 0.9208 data_time: 0.0340 memory: 11089 grad_norm: 4.0386 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6106 loss: 1.6106 2022/08/03 12:55:19 - mmengine - INFO - Epoch(train) [99][160/1879] lr: 2.0000e-02 eta: 1 day, 0:42:59 time: 0.9301 data_time: 0.0301 memory: 11089 grad_norm: 4.2438 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2150 loss: 2.2150 2022/08/03 12:55:37 - mmengine - INFO - Epoch(train) [99][180/1879] lr: 2.0000e-02 eta: 1 day, 0:42:40 time: 0.9027 data_time: 0.0230 memory: 11089 grad_norm: 4.1905 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0060 loss: 2.0060 2022/08/03 12:55:56 - mmengine - INFO - Epoch(train) [99][200/1879] lr: 2.0000e-02 eta: 1 day, 0:42:22 time: 0.9246 data_time: 0.0313 memory: 11089 grad_norm: 4.2896 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0212 loss: 2.0212 2022/08/03 12:56:14 - mmengine - INFO - Epoch(train) [99][220/1879] lr: 2.0000e-02 eta: 1 day, 0:42:04 time: 0.9129 data_time: 0.0280 memory: 11089 grad_norm: 4.1738 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8480 loss: 1.8480 2022/08/03 12:56:33 - mmengine - INFO - Epoch(train) [99][240/1879] lr: 2.0000e-02 eta: 1 day, 0:41:46 time: 0.9272 data_time: 0.0300 memory: 11089 grad_norm: 4.2077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8195 loss: 1.8195 2022/08/03 12:56:51 - mmengine - INFO - Epoch(train) [99][260/1879] lr: 2.0000e-02 eta: 1 day, 0:41:28 time: 0.9116 data_time: 0.0266 memory: 11089 grad_norm: 4.3051 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7713 loss: 1.7713 2022/08/03 12:57:10 - mmengine - INFO - Epoch(train) [99][280/1879] lr: 2.0000e-02 eta: 1 day, 0:41:10 time: 0.9312 data_time: 0.0269 memory: 11089 grad_norm: 4.2400 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9100 loss: 1.9100 2022/08/03 12:57:28 - mmengine - INFO - Epoch(train) [99][300/1879] lr: 2.0000e-02 eta: 1 day, 0:40:52 time: 0.9259 data_time: 0.0301 memory: 11089 grad_norm: 4.1892 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9900 loss: 1.9900 2022/08/03 12:57:46 - mmengine - INFO - Epoch(train) [99][320/1879] lr: 2.0000e-02 eta: 1 day, 0:40:33 time: 0.9152 data_time: 0.0302 memory: 11089 grad_norm: 4.1698 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8376 loss: 1.8376 2022/08/03 12:58:05 - mmengine - INFO - Epoch(train) [99][340/1879] lr: 2.0000e-02 eta: 1 day, 0:40:15 time: 0.9344 data_time: 0.0318 memory: 11089 grad_norm: 4.1657 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9558 loss: 1.9558 2022/08/03 12:58:23 - mmengine - INFO - Epoch(train) [99][360/1879] lr: 2.0000e-02 eta: 1 day, 0:39:57 time: 0.9105 data_time: 0.0286 memory: 11089 grad_norm: 4.2357 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8987 loss: 1.8987 2022/08/03 12:58:41 - mmengine - INFO - Epoch(train) [99][380/1879] lr: 2.0000e-02 eta: 1 day, 0:39:39 time: 0.9104 data_time: 0.0273 memory: 11089 grad_norm: 4.2111 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9423 loss: 1.9423 2022/08/03 12:59:00 - mmengine - INFO - Epoch(train) [99][400/1879] lr: 2.0000e-02 eta: 1 day, 0:39:21 time: 0.9074 data_time: 0.0244 memory: 11089 grad_norm: 4.2587 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6519 loss: 1.6519 2022/08/03 12:59:18 - mmengine - INFO - Epoch(train) [99][420/1879] lr: 2.0000e-02 eta: 1 day, 0:39:02 time: 0.9165 data_time: 0.0318 memory: 11089 grad_norm: 4.2376 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8710 loss: 1.8710 2022/08/03 12:59:36 - mmengine - INFO - Epoch(train) [99][440/1879] lr: 2.0000e-02 eta: 1 day, 0:38:44 time: 0.9073 data_time: 0.0258 memory: 11089 grad_norm: 4.2532 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7317 loss: 1.7317 2022/08/03 12:59:54 - mmengine - INFO - Epoch(train) [99][460/1879] lr: 2.0000e-02 eta: 1 day, 0:38:26 time: 0.9114 data_time: 0.0310 memory: 11089 grad_norm: 4.2794 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.8548 loss: 1.8548 2022/08/03 13:00:13 - mmengine - INFO - Epoch(train) [99][480/1879] lr: 2.0000e-02 eta: 1 day, 0:38:08 time: 0.9091 data_time: 0.0251 memory: 11089 grad_norm: 4.3237 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8733 loss: 1.8733 2022/08/03 13:00:31 - mmengine - INFO - Epoch(train) [99][500/1879] lr: 2.0000e-02 eta: 1 day, 0:37:49 time: 0.9077 data_time: 0.0267 memory: 11089 grad_norm: 4.3938 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9179 loss: 1.9179 2022/08/03 13:00:49 - mmengine - INFO - Epoch(train) [99][520/1879] lr: 2.0000e-02 eta: 1 day, 0:37:31 time: 0.8988 data_time: 0.0241 memory: 11089 grad_norm: 4.4225 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9503 loss: 1.9503 2022/08/03 13:01:07 - mmengine - INFO - Epoch(train) [99][540/1879] lr: 2.0000e-02 eta: 1 day, 0:37:13 time: 0.9053 data_time: 0.0256 memory: 11089 grad_norm: 4.2256 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0329 loss: 2.0329 2022/08/03 13:01:25 - mmengine - INFO - Epoch(train) [99][560/1879] lr: 2.0000e-02 eta: 1 day, 0:36:54 time: 0.9092 data_time: 0.0277 memory: 11089 grad_norm: 4.0826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8815 loss: 1.8815 2022/08/03 13:01:44 - mmengine - INFO - Epoch(train) [99][580/1879] lr: 2.0000e-02 eta: 1 day, 0:36:36 time: 0.9295 data_time: 0.0323 memory: 11089 grad_norm: 4.2276 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0175 loss: 2.0175 2022/08/03 13:02:02 - mmengine - INFO - Epoch(train) [99][600/1879] lr: 2.0000e-02 eta: 1 day, 0:36:18 time: 0.9016 data_time: 0.0283 memory: 11089 grad_norm: 4.3154 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9965 loss: 1.9965 2022/08/03 13:02:20 - mmengine - INFO - Epoch(train) [99][620/1879] lr: 2.0000e-02 eta: 1 day, 0:36:00 time: 0.9018 data_time: 0.0244 memory: 11089 grad_norm: 4.1329 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9109 loss: 1.9109 2022/08/03 13:02:38 - mmengine - INFO - Epoch(train) [99][640/1879] lr: 2.0000e-02 eta: 1 day, 0:35:41 time: 0.9159 data_time: 0.0337 memory: 11089 grad_norm: 4.3693 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9053 loss: 1.9053 2022/08/03 13:02:56 - mmengine - INFO - Epoch(train) [99][660/1879] lr: 2.0000e-02 eta: 1 day, 0:35:23 time: 0.9050 data_time: 0.0279 memory: 11089 grad_norm: 4.3334 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.1531 loss: 2.1531 2022/08/03 13:03:14 - mmengine - INFO - Epoch(train) [99][680/1879] lr: 2.0000e-02 eta: 1 day, 0:35:05 time: 0.9110 data_time: 0.0289 memory: 11089 grad_norm: 4.2040 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8223 loss: 1.8223 2022/08/03 13:03:33 - mmengine - INFO - Epoch(train) [99][700/1879] lr: 2.0000e-02 eta: 1 day, 0:34:47 time: 0.9135 data_time: 0.0211 memory: 11089 grad_norm: 4.2831 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9113 loss: 1.9113 2022/08/03 13:03:51 - mmengine - INFO - Epoch(train) [99][720/1879] lr: 2.0000e-02 eta: 1 day, 0:34:28 time: 0.9100 data_time: 0.0275 memory: 11089 grad_norm: 4.2111 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7167 loss: 1.7167 2022/08/03 13:04:09 - mmengine - INFO - Epoch(train) [99][740/1879] lr: 2.0000e-02 eta: 1 day, 0:34:10 time: 0.9145 data_time: 0.0275 memory: 11089 grad_norm: 4.1570 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9206 loss: 1.9206 2022/08/03 13:04:27 - mmengine - INFO - Epoch(train) [99][760/1879] lr: 2.0000e-02 eta: 1 day, 0:33:52 time: 0.9049 data_time: 0.0302 memory: 11089 grad_norm: 4.1517 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6884 loss: 1.6884 2022/08/03 13:04:45 - mmengine - INFO - Epoch(train) [99][780/1879] lr: 2.0000e-02 eta: 1 day, 0:33:33 time: 0.9006 data_time: 0.0251 memory: 11089 grad_norm: 4.3736 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7972 loss: 1.7972 2022/08/03 13:05:04 - mmengine - INFO - Epoch(train) [99][800/1879] lr: 2.0000e-02 eta: 1 day, 0:33:15 time: 0.9351 data_time: 0.0324 memory: 11089 grad_norm: 4.2335 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8525 loss: 1.8525 2022/08/03 13:05:22 - mmengine - INFO - Epoch(train) [99][820/1879] lr: 2.0000e-02 eta: 1 day, 0:32:57 time: 0.9147 data_time: 0.0256 memory: 11089 grad_norm: 4.2439 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7626 loss: 1.7626 2022/08/03 13:05:40 - mmengine - INFO - Epoch(train) [99][840/1879] lr: 2.0000e-02 eta: 1 day, 0:32:39 time: 0.9130 data_time: 0.0270 memory: 11089 grad_norm: 4.2996 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0978 loss: 2.0978 2022/08/03 13:05:57 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 13:05:59 - mmengine - INFO - Epoch(train) [99][860/1879] lr: 2.0000e-02 eta: 1 day, 0:32:21 time: 0.9244 data_time: 0.0362 memory: 11089 grad_norm: 4.3075 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6726 loss: 1.6726 2022/08/03 13:06:17 - mmengine - INFO - Epoch(train) [99][880/1879] lr: 2.0000e-02 eta: 1 day, 0:32:03 time: 0.9253 data_time: 0.0278 memory: 11089 grad_norm: 4.2553 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0318 loss: 2.0318 2022/08/03 13:06:36 - mmengine - INFO - Epoch(train) [99][900/1879] lr: 2.0000e-02 eta: 1 day, 0:31:44 time: 0.9096 data_time: 0.0267 memory: 11089 grad_norm: 4.2514 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0661 loss: 2.0661 2022/08/03 13:06:55 - mmengine - INFO - Epoch(train) [99][920/1879] lr: 2.0000e-02 eta: 1 day, 0:31:27 time: 0.9458 data_time: 0.0270 memory: 11089 grad_norm: 4.2592 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8393 loss: 1.8393 2022/08/03 13:07:14 - mmengine - INFO - Epoch(train) [99][940/1879] lr: 2.0000e-02 eta: 1 day, 0:31:09 time: 0.9505 data_time: 0.0359 memory: 11089 grad_norm: 4.2959 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9070 loss: 1.9070 2022/08/03 13:07:32 - mmengine - INFO - Epoch(train) [99][960/1879] lr: 2.0000e-02 eta: 1 day, 0:30:51 time: 0.9404 data_time: 0.0230 memory: 11089 grad_norm: 4.1507 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7381 loss: 1.7381 2022/08/03 13:07:51 - mmengine - INFO - Epoch(train) [99][980/1879] lr: 2.0000e-02 eta: 1 day, 0:30:33 time: 0.9141 data_time: 0.0345 memory: 11089 grad_norm: 4.1268 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8941 loss: 1.8941 2022/08/03 13:08:09 - mmengine - INFO - Epoch(train) [99][1000/1879] lr: 2.0000e-02 eta: 1 day, 0:30:14 time: 0.9300 data_time: 0.0266 memory: 11089 grad_norm: 4.2437 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9320 loss: 1.9320 2022/08/03 13:08:28 - mmengine - INFO - Epoch(train) [99][1020/1879] lr: 2.0000e-02 eta: 1 day, 0:29:56 time: 0.9150 data_time: 0.0269 memory: 11089 grad_norm: 4.3126 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1477 loss: 2.1477 2022/08/03 13:08:46 - mmengine - INFO - Epoch(train) [99][1040/1879] lr: 2.0000e-02 eta: 1 day, 0:29:38 time: 0.9311 data_time: 0.0301 memory: 11089 grad_norm: 4.1731 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9053 loss: 1.9053 2022/08/03 13:09:05 - mmengine - INFO - Epoch(train) [99][1060/1879] lr: 2.0000e-02 eta: 1 day, 0:29:20 time: 0.9230 data_time: 0.0230 memory: 11089 grad_norm: 4.2834 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0374 loss: 2.0374 2022/08/03 13:09:23 - mmengine - INFO - Epoch(train) [99][1080/1879] lr: 2.0000e-02 eta: 1 day, 0:29:02 time: 0.9255 data_time: 0.0316 memory: 11089 grad_norm: 4.1387 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7115 loss: 1.7115 2022/08/03 13:09:42 - mmengine - INFO - Epoch(train) [99][1100/1879] lr: 2.0000e-02 eta: 1 day, 0:28:44 time: 0.9394 data_time: 0.0284 memory: 11089 grad_norm: 4.2916 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8279 loss: 1.8279 2022/08/03 13:10:01 - mmengine - INFO - Epoch(train) [99][1120/1879] lr: 2.0000e-02 eta: 1 day, 0:28:26 time: 0.9284 data_time: 0.0254 memory: 11089 grad_norm: 4.2489 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.0149 loss: 2.0149 2022/08/03 13:10:19 - mmengine - INFO - Epoch(train) [99][1140/1879] lr: 2.0000e-02 eta: 1 day, 0:28:08 time: 0.9013 data_time: 0.0218 memory: 11089 grad_norm: 4.2115 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7554 loss: 1.7554 2022/08/03 13:10:37 - mmengine - INFO - Epoch(train) [99][1160/1879] lr: 2.0000e-02 eta: 1 day, 0:27:49 time: 0.9206 data_time: 0.0252 memory: 11089 grad_norm: 4.3000 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8390 loss: 1.8390 2022/08/03 13:10:56 - mmengine - INFO - Epoch(train) [99][1180/1879] lr: 2.0000e-02 eta: 1 day, 0:27:31 time: 0.9290 data_time: 0.0244 memory: 11089 grad_norm: 4.2437 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7861 loss: 1.7861 2022/08/03 13:11:14 - mmengine - INFO - Epoch(train) [99][1200/1879] lr: 2.0000e-02 eta: 1 day, 0:27:13 time: 0.9299 data_time: 0.0299 memory: 11089 grad_norm: 4.1919 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8244 loss: 1.8244 2022/08/03 13:11:33 - mmengine - INFO - Epoch(train) [99][1220/1879] lr: 2.0000e-02 eta: 1 day, 0:26:55 time: 0.9238 data_time: 0.0327 memory: 11089 grad_norm: 4.2605 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8997 loss: 1.8997 2022/08/03 13:11:51 - mmengine - INFO - Epoch(train) [99][1240/1879] lr: 2.0000e-02 eta: 1 day, 0:26:37 time: 0.9021 data_time: 0.0230 memory: 11089 grad_norm: 4.2339 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8994 loss: 1.8994 2022/08/03 13:12:09 - mmengine - INFO - Epoch(train) [99][1260/1879] lr: 2.0000e-02 eta: 1 day, 0:26:19 time: 0.9063 data_time: 0.0203 memory: 11089 grad_norm: 4.2912 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0270 loss: 2.0270 2022/08/03 13:12:27 - mmengine - INFO - Epoch(train) [99][1280/1879] lr: 2.0000e-02 eta: 1 day, 0:26:00 time: 0.8952 data_time: 0.0267 memory: 11089 grad_norm: 4.2909 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9789 loss: 1.9789 2022/08/03 13:12:45 - mmengine - INFO - Epoch(train) [99][1300/1879] lr: 2.0000e-02 eta: 1 day, 0:25:42 time: 0.9112 data_time: 0.0237 memory: 11089 grad_norm: 4.2237 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9747 loss: 1.9747 2022/08/03 13:13:03 - mmengine - INFO - Epoch(train) [99][1320/1879] lr: 2.0000e-02 eta: 1 day, 0:25:24 time: 0.9234 data_time: 0.0379 memory: 11089 grad_norm: 4.1407 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8473 loss: 1.8473 2022/08/03 13:13:22 - mmengine - INFO - Epoch(train) [99][1340/1879] lr: 2.0000e-02 eta: 1 day, 0:25:06 time: 0.9486 data_time: 0.0322 memory: 11089 grad_norm: 4.2061 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6863 loss: 1.6863 2022/08/03 13:13:41 - mmengine - INFO - Epoch(train) [99][1360/1879] lr: 2.0000e-02 eta: 1 day, 0:24:48 time: 0.9200 data_time: 0.0302 memory: 11089 grad_norm: 4.3059 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0459 loss: 2.0459 2022/08/03 13:13:59 - mmengine - INFO - Epoch(train) [99][1380/1879] lr: 2.0000e-02 eta: 1 day, 0:24:30 time: 0.9179 data_time: 0.0271 memory: 11089 grad_norm: 4.1778 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6844 loss: 1.6844 2022/08/03 13:14:18 - mmengine - INFO - Epoch(train) [99][1400/1879] lr: 2.0000e-02 eta: 1 day, 0:24:11 time: 0.9227 data_time: 0.0235 memory: 11089 grad_norm: 4.2847 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8425 loss: 1.8425 2022/08/03 13:14:36 - mmengine - INFO - Epoch(train) [99][1420/1879] lr: 2.0000e-02 eta: 1 day, 0:23:53 time: 0.9016 data_time: 0.0235 memory: 11089 grad_norm: 4.1838 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9942 loss: 1.9942 2022/08/03 13:14:54 - mmengine - INFO - Epoch(train) [99][1440/1879] lr: 2.0000e-02 eta: 1 day, 0:23:35 time: 0.9101 data_time: 0.0250 memory: 11089 grad_norm: 4.3211 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8499 loss: 1.8499 2022/08/03 13:15:12 - mmengine - INFO - Epoch(train) [99][1460/1879] lr: 2.0000e-02 eta: 1 day, 0:23:16 time: 0.8978 data_time: 0.0222 memory: 11089 grad_norm: 4.2537 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1369 loss: 2.1369 2022/08/03 13:15:30 - mmengine - INFO - Epoch(train) [99][1480/1879] lr: 2.0000e-02 eta: 1 day, 0:22:58 time: 0.9123 data_time: 0.0278 memory: 11089 grad_norm: 4.3033 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9262 loss: 1.9262 2022/08/03 13:15:48 - mmengine - INFO - Epoch(train) [99][1500/1879] lr: 2.0000e-02 eta: 1 day, 0:22:40 time: 0.9160 data_time: 0.0288 memory: 11089 grad_norm: 4.2507 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9701 loss: 1.9701 2022/08/03 13:16:07 - mmengine - INFO - Epoch(train) [99][1520/1879] lr: 2.0000e-02 eta: 1 day, 0:22:22 time: 0.9206 data_time: 0.0298 memory: 11089 grad_norm: 4.3680 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9243 loss: 1.9243 2022/08/03 13:16:26 - mmengine - INFO - Epoch(train) [99][1540/1879] lr: 2.0000e-02 eta: 1 day, 0:22:04 time: 0.9449 data_time: 0.0304 memory: 11089 grad_norm: 4.3360 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0241 loss: 2.0241 2022/08/03 13:16:44 - mmengine - INFO - Epoch(train) [99][1560/1879] lr: 2.0000e-02 eta: 1 day, 0:21:46 time: 0.9209 data_time: 0.0225 memory: 11089 grad_norm: 4.2416 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0640 loss: 2.0640 2022/08/03 13:17:03 - mmengine - INFO - Epoch(train) [99][1580/1879] lr: 2.0000e-02 eta: 1 day, 0:21:28 time: 0.9227 data_time: 0.0271 memory: 11089 grad_norm: 4.3809 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0033 loss: 2.0033 2022/08/03 13:17:21 - mmengine - INFO - Epoch(train) [99][1600/1879] lr: 2.0000e-02 eta: 1 day, 0:21:09 time: 0.9176 data_time: 0.0227 memory: 11089 grad_norm: 4.2396 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7889 loss: 1.7889 2022/08/03 13:17:40 - mmengine - INFO - Epoch(train) [99][1620/1879] lr: 2.0000e-02 eta: 1 day, 0:20:51 time: 0.9239 data_time: 0.0264 memory: 11089 grad_norm: 4.1768 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8595 loss: 1.8595 2022/08/03 13:17:58 - mmengine - INFO - Epoch(train) [99][1640/1879] lr: 2.0000e-02 eta: 1 day, 0:20:33 time: 0.9231 data_time: 0.0344 memory: 11089 grad_norm: 4.2154 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9473 loss: 1.9473 2022/08/03 13:18:17 - mmengine - INFO - Epoch(train) [99][1660/1879] lr: 2.0000e-02 eta: 1 day, 0:20:15 time: 0.9290 data_time: 0.0237 memory: 11089 grad_norm: 4.2847 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9905 loss: 1.9905 2022/08/03 13:18:35 - mmengine - INFO - Epoch(train) [99][1680/1879] lr: 2.0000e-02 eta: 1 day, 0:19:57 time: 0.9377 data_time: 0.0361 memory: 11089 grad_norm: 4.2934 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8325 loss: 1.8325 2022/08/03 13:18:53 - mmengine - INFO - Epoch(train) [99][1700/1879] lr: 2.0000e-02 eta: 1 day, 0:19:39 time: 0.9016 data_time: 0.0252 memory: 11089 grad_norm: 4.3871 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0359 loss: 2.0359 2022/08/03 13:19:12 - mmengine - INFO - Epoch(train) [99][1720/1879] lr: 2.0000e-02 eta: 1 day, 0:19:21 time: 0.9224 data_time: 0.0250 memory: 11089 grad_norm: 4.1669 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8219 loss: 1.8219 2022/08/03 13:19:30 - mmengine - INFO - Epoch(train) [99][1740/1879] lr: 2.0000e-02 eta: 1 day, 0:19:02 time: 0.9235 data_time: 0.0298 memory: 11089 grad_norm: 4.1677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9601 loss: 1.9601 2022/08/03 13:19:48 - mmengine - INFO - Epoch(train) [99][1760/1879] lr: 2.0000e-02 eta: 1 day, 0:18:44 time: 0.9013 data_time: 0.0239 memory: 11089 grad_norm: 4.3267 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0788 loss: 2.0788 2022/08/03 13:20:07 - mmengine - INFO - Epoch(train) [99][1780/1879] lr: 2.0000e-02 eta: 1 day, 0:18:26 time: 0.9222 data_time: 0.0327 memory: 11089 grad_norm: 4.2849 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9346 loss: 1.9346 2022/08/03 13:20:25 - mmengine - INFO - Epoch(train) [99][1800/1879] lr: 2.0000e-02 eta: 1 day, 0:18:08 time: 0.9339 data_time: 0.0327 memory: 11089 grad_norm: 4.3338 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0081 loss: 2.0081 2022/08/03 13:20:44 - mmengine - INFO - Epoch(train) [99][1820/1879] lr: 2.0000e-02 eta: 1 day, 0:17:50 time: 0.9075 data_time: 0.0309 memory: 11089 grad_norm: 4.2335 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0357 loss: 2.0357 2022/08/03 13:21:02 - mmengine - INFO - Epoch(train) [99][1840/1879] lr: 2.0000e-02 eta: 1 day, 0:17:32 time: 0.9314 data_time: 0.0242 memory: 11089 grad_norm: 4.1749 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8635 loss: 1.8635 2022/08/03 13:21:19 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 13:21:21 - mmengine - INFO - Epoch(train) [99][1860/1879] lr: 2.0000e-02 eta: 1 day, 0:17:14 time: 0.9284 data_time: 0.0332 memory: 11089 grad_norm: 4.2114 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9889 loss: 1.9889 2022/08/03 13:21:38 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 13:21:38 - mmengine - INFO - Epoch(train) [99][1879/1879] lr: 2.0000e-02 eta: 1 day, 0:17:14 time: 0.9079 data_time: 0.0325 memory: 11089 grad_norm: 4.1454 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.1229 loss: 2.1229 2022/08/03 13:21:57 - mmengine - INFO - Epoch(train) [100][20/1879] lr: 2.0000e-02 eta: 1 day, 0:16:30 time: 0.9756 data_time: 0.0990 memory: 11089 grad_norm: 4.1877 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7743 loss: 1.7743 2022/08/03 13:22:16 - mmengine - INFO - Epoch(train) [100][40/1879] lr: 2.0000e-02 eta: 1 day, 0:16:12 time: 0.9338 data_time: 0.0309 memory: 11089 grad_norm: 4.2336 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8870 loss: 1.8870 2022/08/03 13:22:35 - mmengine - INFO - Epoch(train) [100][60/1879] lr: 2.0000e-02 eta: 1 day, 0:15:54 time: 0.9239 data_time: 0.0284 memory: 11089 grad_norm: 4.1855 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9275 loss: 1.9275 2022/08/03 13:22:53 - mmengine - INFO - Epoch(train) [100][80/1879] lr: 2.0000e-02 eta: 1 day, 0:15:35 time: 0.9106 data_time: 0.0232 memory: 11089 grad_norm: 4.2277 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0631 loss: 2.0631 2022/08/03 13:23:11 - mmengine - INFO - Epoch(train) [100][100/1879] lr: 2.0000e-02 eta: 1 day, 0:15:17 time: 0.9054 data_time: 0.0195 memory: 11089 grad_norm: 4.3147 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9442 loss: 1.9442 2022/08/03 13:23:29 - mmengine - INFO - Epoch(train) [100][120/1879] lr: 2.0000e-02 eta: 1 day, 0:14:58 time: 0.8886 data_time: 0.0202 memory: 11089 grad_norm: 4.1992 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9071 loss: 1.9071 2022/08/03 13:23:47 - mmengine - INFO - Epoch(train) [100][140/1879] lr: 2.0000e-02 eta: 1 day, 0:14:40 time: 0.9172 data_time: 0.0274 memory: 11089 grad_norm: 4.2564 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8484 loss: 1.8484 2022/08/03 13:24:06 - mmengine - INFO - Epoch(train) [100][160/1879] lr: 2.0000e-02 eta: 1 day, 0:14:22 time: 0.9245 data_time: 0.0288 memory: 11089 grad_norm: 4.3002 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8076 loss: 1.8076 2022/08/03 13:24:24 - mmengine - INFO - Epoch(train) [100][180/1879] lr: 2.0000e-02 eta: 1 day, 0:14:04 time: 0.9291 data_time: 0.0325 memory: 11089 grad_norm: 4.3377 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0148 loss: 2.0148 2022/08/03 13:24:43 - mmengine - INFO - Epoch(train) [100][200/1879] lr: 2.0000e-02 eta: 1 day, 0:13:46 time: 0.9182 data_time: 0.0267 memory: 11089 grad_norm: 4.1889 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8662 loss: 1.8662 2022/08/03 13:25:01 - mmengine - INFO - Epoch(train) [100][220/1879] lr: 2.0000e-02 eta: 1 day, 0:13:28 time: 0.9200 data_time: 0.0221 memory: 11089 grad_norm: 4.2287 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8500 loss: 1.8500 2022/08/03 13:25:19 - mmengine - INFO - Epoch(train) [100][240/1879] lr: 2.0000e-02 eta: 1 day, 0:13:09 time: 0.9053 data_time: 0.0265 memory: 11089 grad_norm: 4.3017 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8498 loss: 1.8498 2022/08/03 13:25:37 - mmengine - INFO - Epoch(train) [100][260/1879] lr: 2.0000e-02 eta: 1 day, 0:12:51 time: 0.8991 data_time: 0.0245 memory: 11089 grad_norm: 4.1964 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8082 loss: 1.8082 2022/08/03 13:25:56 - mmengine - INFO - Epoch(train) [100][280/1879] lr: 2.0000e-02 eta: 1 day, 0:12:33 time: 0.9246 data_time: 0.0275 memory: 11089 grad_norm: 4.1855 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0897 loss: 2.0897 2022/08/03 13:26:14 - mmengine - INFO - Epoch(train) [100][300/1879] lr: 2.0000e-02 eta: 1 day, 0:12:15 time: 0.9218 data_time: 0.0359 memory: 11089 grad_norm: 4.2574 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.0684 loss: 2.0684 2022/08/03 13:26:32 - mmengine - INFO - Epoch(train) [100][320/1879] lr: 2.0000e-02 eta: 1 day, 0:11:57 time: 0.9189 data_time: 0.0218 memory: 11089 grad_norm: 4.2684 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.8475 loss: 1.8475 2022/08/03 13:26:51 - mmengine - INFO - Epoch(train) [100][340/1879] lr: 2.0000e-02 eta: 1 day, 0:11:38 time: 0.9135 data_time: 0.0266 memory: 11089 grad_norm: 4.2454 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0082 loss: 2.0082 2022/08/03 13:27:09 - mmengine - INFO - Epoch(train) [100][360/1879] lr: 2.0000e-02 eta: 1 day, 0:11:20 time: 0.9221 data_time: 0.0276 memory: 11089 grad_norm: 4.2730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9084 loss: 1.9084 2022/08/03 13:27:27 - mmengine - INFO - Epoch(train) [100][380/1879] lr: 2.0000e-02 eta: 1 day, 0:11:02 time: 0.9178 data_time: 0.0290 memory: 11089 grad_norm: 4.2079 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7143 loss: 1.7143 2022/08/03 13:27:46 - mmengine - INFO - Epoch(train) [100][400/1879] lr: 2.0000e-02 eta: 1 day, 0:10:44 time: 0.9126 data_time: 0.0271 memory: 11089 grad_norm: 4.2421 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7369 loss: 1.7369 2022/08/03 13:28:04 - mmengine - INFO - Epoch(train) [100][420/1879] lr: 2.0000e-02 eta: 1 day, 0:10:26 time: 0.9296 data_time: 0.0304 memory: 11089 grad_norm: 4.3257 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8493 loss: 1.8493 2022/08/03 13:28:22 - mmengine - INFO - Epoch(train) [100][440/1879] lr: 2.0000e-02 eta: 1 day, 0:10:07 time: 0.8987 data_time: 0.0256 memory: 11089 grad_norm: 4.3227 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9406 loss: 1.9406 2022/08/03 13:28:40 - mmengine - INFO - Epoch(train) [100][460/1879] lr: 2.0000e-02 eta: 1 day, 0:09:49 time: 0.9090 data_time: 0.0273 memory: 11089 grad_norm: 4.2830 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7423 loss: 1.7423 2022/08/03 13:28:59 - mmengine - INFO - Epoch(train) [100][480/1879] lr: 2.0000e-02 eta: 1 day, 0:09:31 time: 0.9018 data_time: 0.0249 memory: 11089 grad_norm: 4.2316 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7536 loss: 1.7536 2022/08/03 13:29:17 - mmengine - INFO - Epoch(train) [100][500/1879] lr: 2.0000e-02 eta: 1 day, 0:09:13 time: 0.9156 data_time: 0.0311 memory: 11089 grad_norm: 4.1930 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0429 loss: 2.0429 2022/08/03 13:29:36 - mmengine - INFO - Epoch(train) [100][520/1879] lr: 2.0000e-02 eta: 1 day, 0:08:55 time: 0.9574 data_time: 0.0410 memory: 11089 grad_norm: 4.1823 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8516 loss: 1.8516 2022/08/03 13:29:54 - mmengine - INFO - Epoch(train) [100][540/1879] lr: 2.0000e-02 eta: 1 day, 0:08:37 time: 0.9146 data_time: 0.0334 memory: 11089 grad_norm: 4.1983 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0789 loss: 2.0789 2022/08/03 13:30:13 - mmengine - INFO - Epoch(train) [100][560/1879] lr: 2.0000e-02 eta: 1 day, 0:08:19 time: 0.9375 data_time: 0.0324 memory: 11089 grad_norm: 4.3761 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1072 loss: 2.1072 2022/08/03 13:30:31 - mmengine - INFO - Epoch(train) [100][580/1879] lr: 2.0000e-02 eta: 1 day, 0:08:00 time: 0.9192 data_time: 0.0314 memory: 11089 grad_norm: 4.3036 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9786 loss: 1.9786 2022/08/03 13:30:50 - mmengine - INFO - Epoch(train) [100][600/1879] lr: 2.0000e-02 eta: 1 day, 0:07:42 time: 0.9118 data_time: 0.0233 memory: 11089 grad_norm: 4.1761 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8434 loss: 1.8434 2022/08/03 13:31:08 - mmengine - INFO - Epoch(train) [100][620/1879] lr: 2.0000e-02 eta: 1 day, 0:07:24 time: 0.9138 data_time: 0.0363 memory: 11089 grad_norm: 4.2833 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8942 loss: 1.8942 2022/08/03 13:31:27 - mmengine - INFO - Epoch(train) [100][640/1879] lr: 2.0000e-02 eta: 1 day, 0:07:06 time: 0.9294 data_time: 0.0265 memory: 11089 grad_norm: 4.2721 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8187 loss: 1.8187 2022/08/03 13:31:45 - mmengine - INFO - Epoch(train) [100][660/1879] lr: 2.0000e-02 eta: 1 day, 0:06:48 time: 0.9166 data_time: 0.0249 memory: 11089 grad_norm: 4.2485 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0248 loss: 2.0248 2022/08/03 13:32:03 - mmengine - INFO - Epoch(train) [100][680/1879] lr: 2.0000e-02 eta: 1 day, 0:06:30 time: 0.9212 data_time: 0.0287 memory: 11089 grad_norm: 4.3035 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0463 loss: 2.0463 2022/08/03 13:32:22 - mmengine - INFO - Epoch(train) [100][700/1879] lr: 2.0000e-02 eta: 1 day, 0:06:11 time: 0.9239 data_time: 0.0320 memory: 11089 grad_norm: 4.3350 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8018 loss: 1.8018 2022/08/03 13:32:41 - mmengine - INFO - Epoch(train) [100][720/1879] lr: 2.0000e-02 eta: 1 day, 0:05:53 time: 0.9356 data_time: 0.0261 memory: 11089 grad_norm: 4.3434 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1175 loss: 2.1175 2022/08/03 13:32:59 - mmengine - INFO - Epoch(train) [100][740/1879] lr: 2.0000e-02 eta: 1 day, 0:05:35 time: 0.9209 data_time: 0.0283 memory: 11089 grad_norm: 4.2320 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7438 loss: 1.7438 2022/08/03 13:33:17 - mmengine - INFO - Epoch(train) [100][760/1879] lr: 2.0000e-02 eta: 1 day, 0:05:17 time: 0.9031 data_time: 0.0239 memory: 11089 grad_norm: 4.2737 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9094 loss: 1.9094 2022/08/03 13:33:35 - mmengine - INFO - Epoch(train) [100][780/1879] lr: 2.0000e-02 eta: 1 day, 0:04:59 time: 0.9127 data_time: 0.0275 memory: 11089 grad_norm: 4.2297 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9366 loss: 1.9366 2022/08/03 13:33:54 - mmengine - INFO - Epoch(train) [100][800/1879] lr: 2.0000e-02 eta: 1 day, 0:04:41 time: 0.9209 data_time: 0.0285 memory: 11089 grad_norm: 4.3173 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1152 loss: 2.1152 2022/08/03 13:34:12 - mmengine - INFO - Epoch(train) [100][820/1879] lr: 2.0000e-02 eta: 1 day, 0:04:22 time: 0.9246 data_time: 0.0323 memory: 11089 grad_norm: 4.2823 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8325 loss: 1.8325 2022/08/03 13:34:30 - mmengine - INFO - Epoch(train) [100][840/1879] lr: 2.0000e-02 eta: 1 day, 0:04:04 time: 0.9083 data_time: 0.0315 memory: 11089 grad_norm: 4.2869 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0871 loss: 2.0871 2022/08/03 13:34:49 - mmengine - INFO - Epoch(train) [100][860/1879] lr: 2.0000e-02 eta: 1 day, 0:03:46 time: 0.9253 data_time: 0.0247 memory: 11089 grad_norm: 4.1813 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9110 loss: 1.9110 2022/08/03 13:35:07 - mmengine - INFO - Epoch(train) [100][880/1879] lr: 2.0000e-02 eta: 1 day, 0:03:28 time: 0.9246 data_time: 0.0318 memory: 11089 grad_norm: 4.1640 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9759 loss: 1.9759 2022/08/03 13:35:26 - mmengine - INFO - Epoch(train) [100][900/1879] lr: 2.0000e-02 eta: 1 day, 0:03:10 time: 0.9140 data_time: 0.0305 memory: 11089 grad_norm: 4.3209 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7167 loss: 1.7167 2022/08/03 13:35:44 - mmengine - INFO - Epoch(train) [100][920/1879] lr: 2.0000e-02 eta: 1 day, 0:02:51 time: 0.9127 data_time: 0.0244 memory: 11089 grad_norm: 4.1754 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7569 loss: 1.7569 2022/08/03 13:36:02 - mmengine - INFO - Epoch(train) [100][940/1879] lr: 2.0000e-02 eta: 1 day, 0:02:33 time: 0.9108 data_time: 0.0326 memory: 11089 grad_norm: 4.2517 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8384 loss: 1.8384 2022/08/03 13:36:20 - mmengine - INFO - Epoch(train) [100][960/1879] lr: 2.0000e-02 eta: 1 day, 0:02:15 time: 0.9106 data_time: 0.0260 memory: 11089 grad_norm: 4.2701 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9336 loss: 1.9336 2022/08/03 13:36:38 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 13:36:39 - mmengine - INFO - Epoch(train) [100][980/1879] lr: 2.0000e-02 eta: 1 day, 0:01:57 time: 0.9143 data_time: 0.0228 memory: 11089 grad_norm: 4.1989 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9089 loss: 1.9089 2022/08/03 13:36:57 - mmengine - INFO - Epoch(train) [100][1000/1879] lr: 2.0000e-02 eta: 1 day, 0:01:38 time: 0.9084 data_time: 0.0268 memory: 11089 grad_norm: 4.0992 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9003 loss: 1.9003 2022/08/03 13:37:16 - mmengine - INFO - Epoch(train) [100][1020/1879] lr: 2.0000e-02 eta: 1 day, 0:01:20 time: 0.9400 data_time: 0.0320 memory: 11089 grad_norm: 4.2636 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9098 loss: 1.9098 2022/08/03 13:37:34 - mmengine - INFO - Epoch(train) [100][1040/1879] lr: 2.0000e-02 eta: 1 day, 0:01:02 time: 0.9224 data_time: 0.0309 memory: 11089 grad_norm: 4.2952 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9245 loss: 1.9245 2022/08/03 13:37:53 - mmengine - INFO - Epoch(train) [100][1060/1879] lr: 2.0000e-02 eta: 1 day, 0:00:44 time: 0.9270 data_time: 0.0318 memory: 11089 grad_norm: 4.2116 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8712 loss: 1.8712 2022/08/03 13:38:11 - mmengine - INFO - Epoch(train) [100][1080/1879] lr: 2.0000e-02 eta: 1 day, 0:00:26 time: 0.9189 data_time: 0.0250 memory: 11089 grad_norm: 4.2108 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0754 loss: 2.0754 2022/08/03 13:38:29 - mmengine - INFO - Epoch(train) [100][1100/1879] lr: 2.0000e-02 eta: 1 day, 0:00:08 time: 0.9216 data_time: 0.0255 memory: 11089 grad_norm: 4.2270 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8787 loss: 1.8787 2022/08/03 13:38:48 - mmengine - INFO - Epoch(train) [100][1120/1879] lr: 2.0000e-02 eta: 23:59:50 time: 0.9209 data_time: 0.0244 memory: 11089 grad_norm: 4.1874 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7600 loss: 1.7600 2022/08/03 13:39:06 - mmengine - INFO - Epoch(train) [100][1140/1879] lr: 2.0000e-02 eta: 23:59:31 time: 0.9075 data_time: 0.0268 memory: 11089 grad_norm: 4.2392 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8378 loss: 1.8378 2022/08/03 13:39:25 - mmengine - INFO - Epoch(train) [100][1160/1879] lr: 2.0000e-02 eta: 23:59:13 time: 0.9308 data_time: 0.0266 memory: 11089 grad_norm: 4.2717 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0362 loss: 2.0362 2022/08/03 13:39:43 - mmengine - INFO - Epoch(train) [100][1180/1879] lr: 2.0000e-02 eta: 23:58:55 time: 0.8986 data_time: 0.0285 memory: 11089 grad_norm: 4.1294 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7895 loss: 1.7895 2022/08/03 13:40:01 - mmengine - INFO - Epoch(train) [100][1200/1879] lr: 2.0000e-02 eta: 23:58:37 time: 0.9089 data_time: 0.0239 memory: 11089 grad_norm: 4.2360 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8689 loss: 1.8689 2022/08/03 13:40:19 - mmengine - INFO - Epoch(train) [100][1220/1879] lr: 2.0000e-02 eta: 23:58:19 time: 0.9223 data_time: 0.0236 memory: 11089 grad_norm: 4.4112 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8819 loss: 1.8819 2022/08/03 13:40:37 - mmengine - INFO - Epoch(train) [100][1240/1879] lr: 2.0000e-02 eta: 23:58:00 time: 0.9120 data_time: 0.0278 memory: 11089 grad_norm: 4.3425 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0281 loss: 2.0281 2022/08/03 13:40:56 - mmengine - INFO - Epoch(train) [100][1260/1879] lr: 2.0000e-02 eta: 23:57:42 time: 0.9248 data_time: 0.0284 memory: 11089 grad_norm: 4.2702 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0821 loss: 2.0821 2022/08/03 13:41:15 - mmengine - INFO - Epoch(train) [100][1280/1879] lr: 2.0000e-02 eta: 23:57:24 time: 0.9310 data_time: 0.0386 memory: 11089 grad_norm: 4.2992 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7398 loss: 1.7398 2022/08/03 13:41:33 - mmengine - INFO - Epoch(train) [100][1300/1879] lr: 2.0000e-02 eta: 23:57:06 time: 0.9254 data_time: 0.0300 memory: 11089 grad_norm: 4.1864 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0153 loss: 2.0153 2022/08/03 13:41:52 - mmengine - INFO - Epoch(train) [100][1320/1879] lr: 2.0000e-02 eta: 23:56:48 time: 0.9231 data_time: 0.0254 memory: 11089 grad_norm: 4.2699 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0150 loss: 2.0150 2022/08/03 13:42:10 - mmengine - INFO - Epoch(train) [100][1340/1879] lr: 2.0000e-02 eta: 23:56:30 time: 0.9151 data_time: 0.0307 memory: 11089 grad_norm: 4.2815 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8394 loss: 1.8394 2022/08/03 13:42:28 - mmengine - INFO - Epoch(train) [100][1360/1879] lr: 2.0000e-02 eta: 23:56:12 time: 0.9278 data_time: 0.0299 memory: 11089 grad_norm: 4.2504 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9641 loss: 1.9641 2022/08/03 13:42:47 - mmengine - INFO - Epoch(train) [100][1380/1879] lr: 2.0000e-02 eta: 23:55:53 time: 0.9134 data_time: 0.0222 memory: 11089 grad_norm: 4.2973 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7259 loss: 1.7259 2022/08/03 13:43:05 - mmengine - INFO - Epoch(train) [100][1400/1879] lr: 2.0000e-02 eta: 23:55:35 time: 0.9036 data_time: 0.0229 memory: 11089 grad_norm: 4.3021 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0164 loss: 2.0164 2022/08/03 13:43:23 - mmengine - INFO - Epoch(train) [100][1420/1879] lr: 2.0000e-02 eta: 23:55:17 time: 0.9172 data_time: 0.0260 memory: 11089 grad_norm: 4.2553 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7858 loss: 1.7858 2022/08/03 13:43:41 - mmengine - INFO - Epoch(train) [100][1440/1879] lr: 2.0000e-02 eta: 23:54:59 time: 0.9006 data_time: 0.0256 memory: 11089 grad_norm: 4.2207 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8818 loss: 1.8818 2022/08/03 13:44:00 - mmengine - INFO - Epoch(train) [100][1460/1879] lr: 2.0000e-02 eta: 23:54:40 time: 0.9198 data_time: 0.0250 memory: 11089 grad_norm: 4.3169 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9093 loss: 1.9093 2022/08/03 13:44:18 - mmengine - INFO - Epoch(train) [100][1480/1879] lr: 2.0000e-02 eta: 23:54:22 time: 0.9356 data_time: 0.0312 memory: 11089 grad_norm: 4.2406 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8864 loss: 1.8864 2022/08/03 13:44:36 - mmengine - INFO - Epoch(train) [100][1500/1879] lr: 2.0000e-02 eta: 23:54:04 time: 0.9045 data_time: 0.0284 memory: 11089 grad_norm: 4.1695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0355 loss: 2.0355 2022/08/03 13:44:55 - mmengine - INFO - Epoch(train) [100][1520/1879] lr: 2.0000e-02 eta: 23:53:46 time: 0.9248 data_time: 0.0295 memory: 11089 grad_norm: 4.1527 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8933 loss: 1.8933 2022/08/03 13:45:13 - mmengine - INFO - Epoch(train) [100][1540/1879] lr: 2.0000e-02 eta: 23:53:28 time: 0.9164 data_time: 0.0232 memory: 11089 grad_norm: 4.2340 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9247 loss: 1.9247 2022/08/03 13:45:31 - mmengine - INFO - Epoch(train) [100][1560/1879] lr: 2.0000e-02 eta: 23:53:09 time: 0.9088 data_time: 0.0232 memory: 11089 grad_norm: 4.2316 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0516 loss: 2.0516 2022/08/03 13:45:49 - mmengine - INFO - Epoch(train) [100][1580/1879] lr: 2.0000e-02 eta: 23:52:51 time: 0.8941 data_time: 0.0227 memory: 11089 grad_norm: 4.3139 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1101 loss: 2.1101 2022/08/03 13:46:08 - mmengine - INFO - Epoch(train) [100][1600/1879] lr: 2.0000e-02 eta: 23:52:33 time: 0.9199 data_time: 0.0252 memory: 11089 grad_norm: 4.1336 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8557 loss: 1.8557 2022/08/03 13:46:26 - mmengine - INFO - Epoch(train) [100][1620/1879] lr: 2.0000e-02 eta: 23:52:15 time: 0.9171 data_time: 0.0271 memory: 11089 grad_norm: 4.2045 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8738 loss: 1.8738 2022/08/03 13:46:44 - mmengine - INFO - Epoch(train) [100][1640/1879] lr: 2.0000e-02 eta: 23:51:56 time: 0.9063 data_time: 0.0250 memory: 11089 grad_norm: 4.2634 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9950 loss: 1.9950 2022/08/03 13:47:03 - mmengine - INFO - Epoch(train) [100][1660/1879] lr: 2.0000e-02 eta: 23:51:38 time: 0.9174 data_time: 0.0261 memory: 11089 grad_norm: 4.3201 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8145 loss: 1.8145 2022/08/03 13:47:21 - mmengine - INFO - Epoch(train) [100][1680/1879] lr: 2.0000e-02 eta: 23:51:20 time: 0.9158 data_time: 0.0292 memory: 11089 grad_norm: 4.1815 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0153 loss: 2.0153 2022/08/03 13:47:39 - mmengine - INFO - Epoch(train) [100][1700/1879] lr: 2.0000e-02 eta: 23:51:02 time: 0.8996 data_time: 0.0232 memory: 11089 grad_norm: 4.2241 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7376 loss: 1.7376 2022/08/03 13:47:57 - mmengine - INFO - Epoch(train) [100][1720/1879] lr: 2.0000e-02 eta: 23:50:43 time: 0.9093 data_time: 0.0361 memory: 11089 grad_norm: 4.2507 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8680 loss: 1.8680 2022/08/03 13:48:15 - mmengine - INFO - Epoch(train) [100][1740/1879] lr: 2.0000e-02 eta: 23:50:25 time: 0.9174 data_time: 0.0336 memory: 11089 grad_norm: 4.2192 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7191 loss: 1.7191 2022/08/03 13:48:34 - mmengine - INFO - Epoch(train) [100][1760/1879] lr: 2.0000e-02 eta: 23:50:07 time: 0.9193 data_time: 0.0323 memory: 11089 grad_norm: 4.2199 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0249 loss: 2.0249 2022/08/03 13:48:52 - mmengine - INFO - Epoch(train) [100][1780/1879] lr: 2.0000e-02 eta: 23:49:49 time: 0.9290 data_time: 0.0312 memory: 11089 grad_norm: 4.2926 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8960 loss: 1.8960 2022/08/03 13:49:11 - mmengine - INFO - Epoch(train) [100][1800/1879] lr: 2.0000e-02 eta: 23:49:31 time: 0.9102 data_time: 0.0297 memory: 11089 grad_norm: 4.2529 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8327 loss: 1.8327 2022/08/03 13:49:29 - mmengine - INFO - Epoch(train) [100][1820/1879] lr: 2.0000e-02 eta: 23:49:13 time: 0.9301 data_time: 0.0302 memory: 11089 grad_norm: 4.2413 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0426 loss: 2.0426 2022/08/03 13:49:48 - mmengine - INFO - Epoch(train) [100][1840/1879] lr: 2.0000e-02 eta: 23:48:54 time: 0.9188 data_time: 0.0302 memory: 11089 grad_norm: 4.1129 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8561 loss: 1.8561 2022/08/03 13:50:06 - mmengine - INFO - Epoch(train) [100][1860/1879] lr: 2.0000e-02 eta: 23:48:36 time: 0.9109 data_time: 0.0242 memory: 11089 grad_norm: 4.0971 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.0903 loss: 2.0903 2022/08/03 13:50:23 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 13:50:23 - mmengine - INFO - Epoch(train) [100][1879/1879] lr: 2.0000e-02 eta: 23:48:36 time: 0.9095 data_time: 0.0323 memory: 11089 grad_norm: 4.3291 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.8894 loss: 1.8894 2022/08/03 13:50:23 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/08/03 13:50:34 - mmengine - INFO - Epoch(val) [100][20/155] eta: 0:00:58 time: 0.4305 data_time: 0.1153 memory: 1950 2022/08/03 13:50:41 - mmengine - INFO - Epoch(val) [100][40/155] eta: 0:00:37 time: 0.3231 data_time: 0.0118 memory: 1950 2022/08/03 13:50:47 - mmengine - INFO - Epoch(val) [100][60/155] eta: 0:00:32 time: 0.3391 data_time: 0.0128 memory: 1950 2022/08/03 13:50:54 - mmengine - INFO - Epoch(val) [100][80/155] eta: 0:00:23 time: 0.3196 data_time: 0.0109 memory: 1950 2022/08/03 13:51:00 - mmengine - INFO - Epoch(val) [100][100/155] eta: 0:00:18 time: 0.3327 data_time: 0.0125 memory: 1950 2022/08/03 13:51:08 - mmengine - INFO - Epoch(val) [100][120/155] eta: 0:00:12 time: 0.3623 data_time: 0.0136 memory: 1950 2022/08/03 13:51:16 - mmengine - INFO - Epoch(val) [100][140/155] eta: 0:00:05 time: 0.3917 data_time: 0.0101 memory: 1950 2022/08/03 13:51:23 - mmengine - INFO - Epoch(val) [100][155/155] acc/top1: 0.6093 acc/top5: 0.8305 acc/mean1: 0.6091 2022/08/03 13:51:43 - mmengine - INFO - Epoch(train) [101][20/1879] lr: 2.0000e-03 eta: 23:47:53 time: 1.0238 data_time: 0.1174 memory: 11089 grad_norm: 4.1215 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0414 loss: 2.0414 2022/08/03 13:52:01 - mmengine - INFO - Epoch(train) [101][40/1879] lr: 2.0000e-03 eta: 23:47:35 time: 0.9024 data_time: 0.0207 memory: 11089 grad_norm: 4.0761 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7986 loss: 1.7986 2022/08/03 13:52:20 - mmengine - INFO - Epoch(train) [101][60/1879] lr: 2.0000e-03 eta: 23:47:16 time: 0.9143 data_time: 0.0245 memory: 11089 grad_norm: 3.9804 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5272 loss: 1.5272 2022/08/03 13:52:38 - mmengine - INFO - Epoch(train) [101][80/1879] lr: 2.0000e-03 eta: 23:46:58 time: 0.9312 data_time: 0.0368 memory: 11089 grad_norm: 4.1166 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7680 loss: 1.7680 2022/08/03 13:52:57 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 13:52:57 - mmengine - INFO - Epoch(train) [101][100/1879] lr: 2.0000e-03 eta: 23:46:40 time: 0.9200 data_time: 0.0201 memory: 11089 grad_norm: 3.9817 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8370 loss: 1.8370 2022/08/03 13:53:15 - mmengine - INFO - Epoch(train) [101][120/1879] lr: 2.0000e-03 eta: 23:46:22 time: 0.9089 data_time: 0.0289 memory: 11089 grad_norm: 3.9851 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7745 loss: 1.7745 2022/08/03 13:53:33 - mmengine - INFO - Epoch(train) [101][140/1879] lr: 2.0000e-03 eta: 23:46:04 time: 0.9105 data_time: 0.0276 memory: 11089 grad_norm: 3.9459 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7852 loss: 1.7852 2022/08/03 13:53:51 - mmengine - INFO - Epoch(train) [101][160/1879] lr: 2.0000e-03 eta: 23:45:45 time: 0.9098 data_time: 0.0263 memory: 11089 grad_norm: 4.0033 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6095 loss: 1.6095 2022/08/03 13:54:09 - mmengine - INFO - Epoch(train) [101][180/1879] lr: 2.0000e-03 eta: 23:45:27 time: 0.9062 data_time: 0.0238 memory: 11089 grad_norm: 3.9504 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6659 loss: 1.6659 2022/08/03 13:54:28 - mmengine - INFO - Epoch(train) [101][200/1879] lr: 2.0000e-03 eta: 23:45:09 time: 0.9127 data_time: 0.0254 memory: 11089 grad_norm: 3.8559 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6246 loss: 1.6246 2022/08/03 13:54:46 - mmengine - INFO - Epoch(train) [101][220/1879] lr: 2.0000e-03 eta: 23:44:51 time: 0.9028 data_time: 0.0249 memory: 11089 grad_norm: 3.9633 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6603 loss: 1.6603 2022/08/03 13:55:04 - mmengine - INFO - Epoch(train) [101][240/1879] lr: 2.0000e-03 eta: 23:44:32 time: 0.9158 data_time: 0.0250 memory: 11089 grad_norm: 3.9060 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7700 loss: 1.7700 2022/08/03 13:55:22 - mmengine - INFO - Epoch(train) [101][260/1879] lr: 2.0000e-03 eta: 23:44:14 time: 0.9078 data_time: 0.0270 memory: 11089 grad_norm: 4.0563 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7887 loss: 1.7887 2022/08/03 13:55:40 - mmengine - INFO - Epoch(train) [101][280/1879] lr: 2.0000e-03 eta: 23:43:56 time: 0.9129 data_time: 0.0290 memory: 11089 grad_norm: 3.9320 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5660 loss: 1.5660 2022/08/03 13:55:59 - mmengine - INFO - Epoch(train) [101][300/1879] lr: 2.0000e-03 eta: 23:43:38 time: 0.9231 data_time: 0.0238 memory: 11089 grad_norm: 3.9941 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7917 loss: 1.7917 2022/08/03 13:56:17 - mmengine - INFO - Epoch(train) [101][320/1879] lr: 2.0000e-03 eta: 23:43:19 time: 0.9091 data_time: 0.0349 memory: 11089 grad_norm: 3.9903 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7460 loss: 1.7460 2022/08/03 13:56:36 - mmengine - INFO - Epoch(train) [101][340/1879] lr: 2.0000e-03 eta: 23:43:01 time: 0.9275 data_time: 0.0297 memory: 11089 grad_norm: 3.9908 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6940 loss: 1.6940 2022/08/03 13:56:54 - mmengine - INFO - Epoch(train) [101][360/1879] lr: 2.0000e-03 eta: 23:42:43 time: 0.9194 data_time: 0.0250 memory: 11089 grad_norm: 3.8669 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4450 loss: 1.4450 2022/08/03 13:57:12 - mmengine - INFO - Epoch(train) [101][380/1879] lr: 2.0000e-03 eta: 23:42:25 time: 0.9098 data_time: 0.0309 memory: 11089 grad_norm: 4.0601 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6072 loss: 1.6072 2022/08/03 13:57:31 - mmengine - INFO - Epoch(train) [101][400/1879] lr: 2.0000e-03 eta: 23:42:07 time: 0.9237 data_time: 0.0290 memory: 11089 grad_norm: 3.9320 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.5112 loss: 1.5112 2022/08/03 13:57:49 - mmengine - INFO - Epoch(train) [101][420/1879] lr: 2.0000e-03 eta: 23:41:49 time: 0.9279 data_time: 0.0276 memory: 11089 grad_norm: 4.0186 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6539 loss: 1.6539 2022/08/03 13:58:08 - mmengine - INFO - Epoch(train) [101][440/1879] lr: 2.0000e-03 eta: 23:41:30 time: 0.9163 data_time: 0.0262 memory: 11089 grad_norm: 4.0777 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6686 loss: 1.6686 2022/08/03 13:58:26 - mmengine - INFO - Epoch(train) [101][460/1879] lr: 2.0000e-03 eta: 23:41:12 time: 0.9128 data_time: 0.0263 memory: 11089 grad_norm: 4.0040 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6637 loss: 1.6637 2022/08/03 13:58:44 - mmengine - INFO - Epoch(train) [101][480/1879] lr: 2.0000e-03 eta: 23:40:54 time: 0.9231 data_time: 0.0338 memory: 11089 grad_norm: 3.9049 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.5309 loss: 1.5309 2022/08/03 13:59:03 - mmengine - INFO - Epoch(train) [101][500/1879] lr: 2.0000e-03 eta: 23:40:36 time: 0.9320 data_time: 0.0257 memory: 11089 grad_norm: 3.9607 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6190 loss: 1.6190 2022/08/03 13:59:22 - mmengine - INFO - Epoch(train) [101][520/1879] lr: 2.0000e-03 eta: 23:40:18 time: 0.9285 data_time: 0.0332 memory: 11089 grad_norm: 4.1543 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5773 loss: 1.5773 2022/08/03 13:59:40 - mmengine - INFO - Epoch(train) [101][540/1879] lr: 2.0000e-03 eta: 23:40:00 time: 0.9194 data_time: 0.0300 memory: 11089 grad_norm: 4.0087 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6474 loss: 1.6474 2022/08/03 13:59:59 - mmengine - INFO - Epoch(train) [101][560/1879] lr: 2.0000e-03 eta: 23:39:42 time: 0.9237 data_time: 0.0260 memory: 11089 grad_norm: 4.1231 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8538 loss: 1.8538 2022/08/03 14:00:17 - mmengine - INFO - Epoch(train) [101][580/1879] lr: 2.0000e-03 eta: 23:39:24 time: 0.9342 data_time: 0.0375 memory: 11089 grad_norm: 4.0375 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8290 loss: 1.8290 2022/08/03 14:00:36 - mmengine - INFO - Epoch(train) [101][600/1879] lr: 2.0000e-03 eta: 23:39:06 time: 0.9219 data_time: 0.0306 memory: 11089 grad_norm: 3.9824 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4596 loss: 1.4596 2022/08/03 14:00:54 - mmengine - INFO - Epoch(train) [101][620/1879] lr: 2.0000e-03 eta: 23:38:47 time: 0.9126 data_time: 0.0332 memory: 11089 grad_norm: 4.0275 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6320 loss: 1.6320 2022/08/03 14:01:12 - mmengine - INFO - Epoch(train) [101][640/1879] lr: 2.0000e-03 eta: 23:38:29 time: 0.9189 data_time: 0.0284 memory: 11089 grad_norm: 3.9828 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5352 loss: 1.5352 2022/08/03 14:01:31 - mmengine - INFO - Epoch(train) [101][660/1879] lr: 2.0000e-03 eta: 23:38:11 time: 0.9378 data_time: 0.0330 memory: 11089 grad_norm: 4.0518 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7921 loss: 1.7921 2022/08/03 14:01:50 - mmengine - INFO - Epoch(train) [101][680/1879] lr: 2.0000e-03 eta: 23:37:53 time: 0.9374 data_time: 0.0376 memory: 11089 grad_norm: 4.0442 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7726 loss: 1.7726 2022/08/03 14:02:08 - mmengine - INFO - Epoch(train) [101][700/1879] lr: 2.0000e-03 eta: 23:37:35 time: 0.9142 data_time: 0.0237 memory: 11089 grad_norm: 4.1522 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6700 loss: 1.6700 2022/08/03 14:02:26 - mmengine - INFO - Epoch(train) [101][720/1879] lr: 2.0000e-03 eta: 23:37:17 time: 0.9001 data_time: 0.0260 memory: 11089 grad_norm: 4.0074 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3793 loss: 1.3793 2022/08/03 14:02:44 - mmengine - INFO - Epoch(train) [101][740/1879] lr: 2.0000e-03 eta: 23:36:58 time: 0.9136 data_time: 0.0205 memory: 11089 grad_norm: 4.0948 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6750 loss: 1.6750 2022/08/03 14:03:03 - mmengine - INFO - Epoch(train) [101][760/1879] lr: 2.0000e-03 eta: 23:36:40 time: 0.9263 data_time: 0.0359 memory: 11089 grad_norm: 3.9526 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7464 loss: 1.7464 2022/08/03 14:03:22 - mmengine - INFO - Epoch(train) [101][780/1879] lr: 2.0000e-03 eta: 23:36:22 time: 0.9369 data_time: 0.0269 memory: 11089 grad_norm: 3.9781 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5669 loss: 1.5669 2022/08/03 14:03:40 - mmengine - INFO - Epoch(train) [101][800/1879] lr: 2.0000e-03 eta: 23:36:04 time: 0.9217 data_time: 0.0258 memory: 11089 grad_norm: 4.0014 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6221 loss: 1.6221 2022/08/03 14:03:58 - mmengine - INFO - Epoch(train) [101][820/1879] lr: 2.0000e-03 eta: 23:35:46 time: 0.9034 data_time: 0.0253 memory: 11089 grad_norm: 4.0482 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8018 loss: 1.8018 2022/08/03 14:04:17 - mmengine - INFO - Epoch(train) [101][840/1879] lr: 2.0000e-03 eta: 23:35:28 time: 0.9249 data_time: 0.0251 memory: 11089 grad_norm: 3.9782 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5003 loss: 1.5003 2022/08/03 14:04:35 - mmengine - INFO - Epoch(train) [101][860/1879] lr: 2.0000e-03 eta: 23:35:10 time: 0.9354 data_time: 0.0366 memory: 11089 grad_norm: 3.9771 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3430 loss: 1.3430 2022/08/03 14:04:53 - mmengine - INFO - Epoch(train) [101][880/1879] lr: 2.0000e-03 eta: 23:34:51 time: 0.9024 data_time: 0.0269 memory: 11089 grad_norm: 4.0075 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5701 loss: 1.5701 2022/08/03 14:05:12 - mmengine - INFO - Epoch(train) [101][900/1879] lr: 2.0000e-03 eta: 23:34:33 time: 0.9169 data_time: 0.0275 memory: 11089 grad_norm: 4.0038 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5294 loss: 1.5294 2022/08/03 14:05:30 - mmengine - INFO - Epoch(train) [101][920/1879] lr: 2.0000e-03 eta: 23:34:15 time: 0.9231 data_time: 0.0228 memory: 11089 grad_norm: 3.9807 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7083 loss: 1.7083 2022/08/03 14:05:49 - mmengine - INFO - Epoch(train) [101][940/1879] lr: 2.0000e-03 eta: 23:33:57 time: 0.9159 data_time: 0.0261 memory: 11089 grad_norm: 4.0591 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4963 loss: 1.4963 2022/08/03 14:06:07 - mmengine - INFO - Epoch(train) [101][960/1879] lr: 2.0000e-03 eta: 23:33:38 time: 0.9084 data_time: 0.0304 memory: 11089 grad_norm: 4.1007 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4663 loss: 1.4663 2022/08/03 14:06:25 - mmengine - INFO - Epoch(train) [101][980/1879] lr: 2.0000e-03 eta: 23:33:20 time: 0.9182 data_time: 0.0326 memory: 11089 grad_norm: 4.0088 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3073 loss: 1.3073 2022/08/03 14:06:43 - mmengine - INFO - Epoch(train) [101][1000/1879] lr: 2.0000e-03 eta: 23:33:02 time: 0.9178 data_time: 0.0259 memory: 11089 grad_norm: 4.0254 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5775 loss: 1.5775 2022/08/03 14:07:02 - mmengine - INFO - Epoch(train) [101][1020/1879] lr: 2.0000e-03 eta: 23:32:44 time: 0.9161 data_time: 0.0203 memory: 11089 grad_norm: 4.0907 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5591 loss: 1.5591 2022/08/03 14:07:20 - mmengine - INFO - Epoch(train) [101][1040/1879] lr: 2.0000e-03 eta: 23:32:26 time: 0.9106 data_time: 0.0246 memory: 11089 grad_norm: 4.1630 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5863 loss: 1.5863 2022/08/03 14:07:38 - mmengine - INFO - Epoch(train) [101][1060/1879] lr: 2.0000e-03 eta: 23:32:07 time: 0.9057 data_time: 0.0247 memory: 11089 grad_norm: 3.9156 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5372 loss: 1.5372 2022/08/03 14:07:56 - mmengine - INFO - Epoch(train) [101][1080/1879] lr: 2.0000e-03 eta: 23:31:49 time: 0.9103 data_time: 0.0316 memory: 11089 grad_norm: 4.0557 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6779 loss: 1.6779 2022/08/03 14:08:15 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 14:08:15 - mmengine - INFO - Epoch(train) [101][1100/1879] lr: 2.0000e-03 eta: 23:31:31 time: 0.9254 data_time: 0.0228 memory: 11089 grad_norm: 4.0159 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7522 loss: 1.7522 2022/08/03 14:08:33 - mmengine - INFO - Epoch(train) [101][1120/1879] lr: 2.0000e-03 eta: 23:31:13 time: 0.9284 data_time: 0.0321 memory: 11089 grad_norm: 4.1585 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6794 loss: 1.6794 2022/08/03 14:08:52 - mmengine - INFO - Epoch(train) [101][1140/1879] lr: 2.0000e-03 eta: 23:30:55 time: 0.9352 data_time: 0.0283 memory: 11089 grad_norm: 4.0501 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5693 loss: 1.5693 2022/08/03 14:09:10 - mmengine - INFO - Epoch(train) [101][1160/1879] lr: 2.0000e-03 eta: 23:30:37 time: 0.9105 data_time: 0.0280 memory: 11089 grad_norm: 4.0162 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4977 loss: 1.4977 2022/08/03 14:09:28 - mmengine - INFO - Epoch(train) [101][1180/1879] lr: 2.0000e-03 eta: 23:30:18 time: 0.8977 data_time: 0.0239 memory: 11089 grad_norm: 4.0960 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7183 loss: 1.7183 2022/08/03 14:09:47 - mmengine - INFO - Epoch(train) [101][1200/1879] lr: 2.0000e-03 eta: 23:30:00 time: 0.9417 data_time: 0.0305 memory: 11089 grad_norm: 4.1223 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6193 loss: 1.6193 2022/08/03 14:10:06 - mmengine - INFO - Epoch(train) [101][1220/1879] lr: 2.0000e-03 eta: 23:29:42 time: 0.9197 data_time: 0.0352 memory: 11089 grad_norm: 4.1554 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6064 loss: 1.6064 2022/08/03 14:10:24 - mmengine - INFO - Epoch(train) [101][1240/1879] lr: 2.0000e-03 eta: 23:29:24 time: 0.9115 data_time: 0.0348 memory: 11089 grad_norm: 4.1333 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3802 loss: 1.3802 2022/08/03 14:10:42 - mmengine - INFO - Epoch(train) [101][1260/1879] lr: 2.0000e-03 eta: 23:29:06 time: 0.9324 data_time: 0.0332 memory: 11089 grad_norm: 3.9487 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5730 loss: 1.5730 2022/08/03 14:11:01 - mmengine - INFO - Epoch(train) [101][1280/1879] lr: 2.0000e-03 eta: 23:28:48 time: 0.9068 data_time: 0.0286 memory: 11089 grad_norm: 4.0663 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.6165 loss: 1.6165 2022/08/03 14:11:19 - mmengine - INFO - Epoch(train) [101][1300/1879] lr: 2.0000e-03 eta: 23:28:29 time: 0.9276 data_time: 0.0363 memory: 11089 grad_norm: 4.0854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5044 loss: 1.5044 2022/08/03 14:11:38 - mmengine - INFO - Epoch(train) [101][1320/1879] lr: 2.0000e-03 eta: 23:28:11 time: 0.9213 data_time: 0.0238 memory: 11089 grad_norm: 3.9919 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4528 loss: 1.4528 2022/08/03 14:11:56 - mmengine - INFO - Epoch(train) [101][1340/1879] lr: 2.0000e-03 eta: 23:27:53 time: 0.9123 data_time: 0.0221 memory: 11089 grad_norm: 3.9935 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6767 loss: 1.6767 2022/08/03 14:12:14 - mmengine - INFO - Epoch(train) [101][1360/1879] lr: 2.0000e-03 eta: 23:27:35 time: 0.9153 data_time: 0.0276 memory: 11089 grad_norm: 3.9416 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6258 loss: 1.6258 2022/08/03 14:12:32 - mmengine - INFO - Epoch(train) [101][1380/1879] lr: 2.0000e-03 eta: 23:27:17 time: 0.9050 data_time: 0.0241 memory: 11089 grad_norm: 4.0550 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3462 loss: 1.3462 2022/08/03 14:12:51 - mmengine - INFO - Epoch(train) [101][1400/1879] lr: 2.0000e-03 eta: 23:26:58 time: 0.9282 data_time: 0.0225 memory: 11089 grad_norm: 4.0908 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2720 loss: 1.2720 2022/08/03 14:13:10 - mmengine - INFO - Epoch(train) [101][1420/1879] lr: 2.0000e-03 eta: 23:26:40 time: 0.9412 data_time: 0.0313 memory: 11089 grad_norm: 4.0195 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6161 loss: 1.6161 2022/08/03 14:13:28 - mmengine - INFO - Epoch(train) [101][1440/1879] lr: 2.0000e-03 eta: 23:26:22 time: 0.9107 data_time: 0.0319 memory: 11089 grad_norm: 4.0832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6400 loss: 1.6400 2022/08/03 14:13:46 - mmengine - INFO - Epoch(train) [101][1460/1879] lr: 2.0000e-03 eta: 23:26:04 time: 0.9095 data_time: 0.0278 memory: 11089 grad_norm: 4.1297 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5508 loss: 1.5508 2022/08/03 14:14:04 - mmengine - INFO - Epoch(train) [101][1480/1879] lr: 2.0000e-03 eta: 23:25:46 time: 0.8998 data_time: 0.0256 memory: 11089 grad_norm: 4.0598 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4217 loss: 1.4217 2022/08/03 14:14:23 - mmengine - INFO - Epoch(train) [101][1500/1879] lr: 2.0000e-03 eta: 23:25:27 time: 0.9248 data_time: 0.0268 memory: 11089 grad_norm: 4.0997 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6264 loss: 1.6264 2022/08/03 14:14:42 - mmengine - INFO - Epoch(train) [101][1520/1879] lr: 2.0000e-03 eta: 23:25:10 time: 0.9515 data_time: 0.0429 memory: 11089 grad_norm: 4.1514 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6323 loss: 1.6323 2022/08/03 14:15:00 - mmengine - INFO - Epoch(train) [101][1540/1879] lr: 2.0000e-03 eta: 23:24:51 time: 0.9103 data_time: 0.0232 memory: 11089 grad_norm: 3.9439 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5289 loss: 1.5289 2022/08/03 14:15:18 - mmengine - INFO - Epoch(train) [101][1560/1879] lr: 2.0000e-03 eta: 23:24:33 time: 0.9100 data_time: 0.0291 memory: 11089 grad_norm: 4.1666 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4877 loss: 1.4877 2022/08/03 14:15:36 - mmengine - INFO - Epoch(train) [101][1580/1879] lr: 2.0000e-03 eta: 23:24:15 time: 0.9045 data_time: 0.0239 memory: 11089 grad_norm: 4.0193 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3848 loss: 1.3848 2022/08/03 14:15:54 - mmengine - INFO - Epoch(train) [101][1600/1879] lr: 2.0000e-03 eta: 23:23:56 time: 0.8971 data_time: 0.0242 memory: 11089 grad_norm: 4.1896 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7666 loss: 1.7666 2022/08/03 14:16:13 - mmengine - INFO - Epoch(train) [101][1620/1879] lr: 2.0000e-03 eta: 23:23:38 time: 0.9324 data_time: 0.0269 memory: 11089 grad_norm: 4.0977 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4874 loss: 1.4874 2022/08/03 14:16:31 - mmengine - INFO - Epoch(train) [101][1640/1879] lr: 2.0000e-03 eta: 23:23:20 time: 0.9122 data_time: 0.0287 memory: 11089 grad_norm: 4.0669 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6370 loss: 1.6370 2022/08/03 14:16:49 - mmengine - INFO - Epoch(train) [101][1660/1879] lr: 2.0000e-03 eta: 23:23:02 time: 0.9027 data_time: 0.0308 memory: 11089 grad_norm: 4.0572 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3771 loss: 1.3771 2022/08/03 14:17:08 - mmengine - INFO - Epoch(train) [101][1680/1879] lr: 2.0000e-03 eta: 23:22:44 time: 0.9273 data_time: 0.0260 memory: 11089 grad_norm: 4.0581 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5250 loss: 1.5250 2022/08/03 14:17:26 - mmengine - INFO - Epoch(train) [101][1700/1879] lr: 2.0000e-03 eta: 23:22:25 time: 0.9067 data_time: 0.0306 memory: 11089 grad_norm: 4.0272 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5387 loss: 1.5387 2022/08/03 14:17:44 - mmengine - INFO - Epoch(train) [101][1720/1879] lr: 2.0000e-03 eta: 23:22:07 time: 0.9078 data_time: 0.0278 memory: 11089 grad_norm: 4.0348 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7417 loss: 1.7417 2022/08/03 14:18:02 - mmengine - INFO - Epoch(train) [101][1740/1879] lr: 2.0000e-03 eta: 23:21:49 time: 0.9219 data_time: 0.0300 memory: 11089 grad_norm: 4.1615 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6887 loss: 1.6887 2022/08/03 14:18:21 - mmengine - INFO - Epoch(train) [101][1760/1879] lr: 2.0000e-03 eta: 23:21:31 time: 0.9187 data_time: 0.0332 memory: 11089 grad_norm: 4.1130 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4080 loss: 1.4080 2022/08/03 14:18:39 - mmengine - INFO - Epoch(train) [101][1780/1879] lr: 2.0000e-03 eta: 23:21:13 time: 0.9255 data_time: 0.0231 memory: 11089 grad_norm: 4.1234 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3819 loss: 1.3819 2022/08/03 14:18:57 - mmengine - INFO - Epoch(train) [101][1800/1879] lr: 2.0000e-03 eta: 23:20:54 time: 0.9115 data_time: 0.0308 memory: 11089 grad_norm: 4.1120 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5582 loss: 1.5582 2022/08/03 14:19:15 - mmengine - INFO - Epoch(train) [101][1820/1879] lr: 2.0000e-03 eta: 23:20:36 time: 0.9041 data_time: 0.0253 memory: 11089 grad_norm: 4.0202 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3828 loss: 1.3828 2022/08/03 14:19:33 - mmengine - INFO - Epoch(train) [101][1840/1879] lr: 2.0000e-03 eta: 23:20:18 time: 0.8996 data_time: 0.0210 memory: 11089 grad_norm: 4.1668 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7069 loss: 1.7069 2022/08/03 14:19:52 - mmengine - INFO - Epoch(train) [101][1860/1879] lr: 2.0000e-03 eta: 23:19:59 time: 0.9103 data_time: 0.0360 memory: 11089 grad_norm: 4.1527 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5971 loss: 1.5971 2022/08/03 14:20:09 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 14:20:09 - mmengine - INFO - Epoch(train) [101][1879/1879] lr: 2.0000e-03 eta: 23:19:59 time: 0.9235 data_time: 0.0311 memory: 11089 grad_norm: 4.1720 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.5768 loss: 1.5768 2022/08/03 14:20:30 - mmengine - INFO - Epoch(train) [102][20/1879] lr: 2.0000e-03 eta: 23:19:17 time: 1.0354 data_time: 0.1161 memory: 11089 grad_norm: 4.0846 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5021 loss: 1.5021 2022/08/03 14:20:48 - mmengine - INFO - Epoch(train) [102][40/1879] lr: 2.0000e-03 eta: 23:18:58 time: 0.9022 data_time: 0.0275 memory: 11089 grad_norm: 4.1282 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6190 loss: 1.6190 2022/08/03 14:21:06 - mmengine - INFO - Epoch(train) [102][60/1879] lr: 2.0000e-03 eta: 23:18:40 time: 0.9097 data_time: 0.0231 memory: 11089 grad_norm: 4.1202 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5377 loss: 1.5377 2022/08/03 14:21:25 - mmengine - INFO - Epoch(train) [102][80/1879] lr: 2.0000e-03 eta: 23:18:22 time: 0.9193 data_time: 0.0360 memory: 11089 grad_norm: 4.0901 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5666 loss: 1.5666 2022/08/03 14:21:43 - mmengine - INFO - Epoch(train) [102][100/1879] lr: 2.0000e-03 eta: 23:18:04 time: 0.9097 data_time: 0.0269 memory: 11089 grad_norm: 4.2856 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6125 loss: 1.6125 2022/08/03 14:22:02 - mmengine - INFO - Epoch(train) [102][120/1879] lr: 2.0000e-03 eta: 23:17:46 time: 0.9296 data_time: 0.0301 memory: 11089 grad_norm: 4.1177 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3272 loss: 1.3272 2022/08/03 14:22:20 - mmengine - INFO - Epoch(train) [102][140/1879] lr: 2.0000e-03 eta: 23:17:28 time: 0.9463 data_time: 0.0340 memory: 11089 grad_norm: 4.0819 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5295 loss: 1.5295 2022/08/03 14:22:39 - mmengine - INFO - Epoch(train) [102][160/1879] lr: 2.0000e-03 eta: 23:17:09 time: 0.9137 data_time: 0.0300 memory: 11089 grad_norm: 4.1622 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5728 loss: 1.5728 2022/08/03 14:22:57 - mmengine - INFO - Epoch(train) [102][180/1879] lr: 2.0000e-03 eta: 23:16:51 time: 0.9045 data_time: 0.0250 memory: 11089 grad_norm: 4.1137 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4014 loss: 1.4014 2022/08/03 14:23:15 - mmengine - INFO - Epoch(train) [102][200/1879] lr: 2.0000e-03 eta: 23:16:33 time: 0.8984 data_time: 0.0278 memory: 11089 grad_norm: 4.0875 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3840 loss: 1.3840 2022/08/03 14:23:33 - mmengine - INFO - Epoch(train) [102][220/1879] lr: 2.0000e-03 eta: 23:16:15 time: 0.9199 data_time: 0.0258 memory: 11089 grad_norm: 4.1591 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4476 loss: 1.4476 2022/08/03 14:23:34 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 14:23:51 - mmengine - INFO - Epoch(train) [102][240/1879] lr: 2.0000e-03 eta: 23:15:56 time: 0.9070 data_time: 0.0272 memory: 11089 grad_norm: 3.9968 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2837 loss: 1.2837 2022/08/03 14:24:10 - mmengine - INFO - Epoch(train) [102][260/1879] lr: 2.0000e-03 eta: 23:15:38 time: 0.9212 data_time: 0.0238 memory: 11089 grad_norm: 4.0979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3210 loss: 1.3210 2022/08/03 14:24:28 - mmengine - INFO - Epoch(train) [102][280/1879] lr: 2.0000e-03 eta: 23:15:20 time: 0.9251 data_time: 0.0317 memory: 11089 grad_norm: 4.1600 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6440 loss: 1.6440 2022/08/03 14:24:47 - mmengine - INFO - Epoch(train) [102][300/1879] lr: 2.0000e-03 eta: 23:15:02 time: 0.9275 data_time: 0.0279 memory: 11089 grad_norm: 4.0837 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4831 loss: 1.4831 2022/08/03 14:25:05 - mmengine - INFO - Epoch(train) [102][320/1879] lr: 2.0000e-03 eta: 23:14:44 time: 0.9127 data_time: 0.0294 memory: 11089 grad_norm: 4.1326 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4187 loss: 1.4187 2022/08/03 14:25:24 - mmengine - INFO - Epoch(train) [102][340/1879] lr: 2.0000e-03 eta: 23:14:26 time: 0.9234 data_time: 0.0283 memory: 11089 grad_norm: 4.0658 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2995 loss: 1.2995 2022/08/03 14:25:42 - mmengine - INFO - Epoch(train) [102][360/1879] lr: 2.0000e-03 eta: 23:14:07 time: 0.9153 data_time: 0.0318 memory: 11089 grad_norm: 4.1015 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4495 loss: 1.4495 2022/08/03 14:26:00 - mmengine - INFO - Epoch(train) [102][380/1879] lr: 2.0000e-03 eta: 23:13:49 time: 0.9132 data_time: 0.0221 memory: 11089 grad_norm: 4.1791 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6044 loss: 1.6044 2022/08/03 14:26:19 - mmengine - INFO - Epoch(train) [102][400/1879] lr: 2.0000e-03 eta: 23:13:31 time: 0.9224 data_time: 0.0307 memory: 11089 grad_norm: 4.1377 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6566 loss: 1.6566 2022/08/03 14:26:37 - mmengine - INFO - Epoch(train) [102][420/1879] lr: 2.0000e-03 eta: 23:13:13 time: 0.9330 data_time: 0.0274 memory: 11089 grad_norm: 4.2012 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5589 loss: 1.5589 2022/08/03 14:26:56 - mmengine - INFO - Epoch(train) [102][440/1879] lr: 2.0000e-03 eta: 23:12:55 time: 0.9161 data_time: 0.0314 memory: 11089 grad_norm: 4.0572 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5522 loss: 1.5522 2022/08/03 14:27:14 - mmengine - INFO - Epoch(train) [102][460/1879] lr: 2.0000e-03 eta: 23:12:36 time: 0.9033 data_time: 0.0247 memory: 11089 grad_norm: 4.2029 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4999 loss: 1.4999 2022/08/03 14:27:32 - mmengine - INFO - Epoch(train) [102][480/1879] lr: 2.0000e-03 eta: 23:12:18 time: 0.9042 data_time: 0.0252 memory: 11089 grad_norm: 4.2203 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4476 loss: 1.4476 2022/08/03 14:27:50 - mmengine - INFO - Epoch(train) [102][500/1879] lr: 2.0000e-03 eta: 23:12:00 time: 0.9134 data_time: 0.0279 memory: 11089 grad_norm: 4.0623 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4339 loss: 1.4339 2022/08/03 14:28:08 - mmengine - INFO - Epoch(train) [102][520/1879] lr: 2.0000e-03 eta: 23:11:42 time: 0.9234 data_time: 0.0291 memory: 11089 grad_norm: 4.2800 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6995 loss: 1.6995 2022/08/03 14:28:27 - mmengine - INFO - Epoch(train) [102][540/1879] lr: 2.0000e-03 eta: 23:11:24 time: 0.9188 data_time: 0.0265 memory: 11089 grad_norm: 4.1122 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5528 loss: 1.5528 2022/08/03 14:28:45 - mmengine - INFO - Epoch(train) [102][560/1879] lr: 2.0000e-03 eta: 23:11:05 time: 0.9121 data_time: 0.0292 memory: 11089 grad_norm: 4.1953 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4725 loss: 1.4725 2022/08/03 14:29:04 - mmengine - INFO - Epoch(train) [102][580/1879] lr: 2.0000e-03 eta: 23:10:47 time: 0.9237 data_time: 0.0270 memory: 11089 grad_norm: 4.1283 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3327 loss: 1.3327 2022/08/03 14:29:22 - mmengine - INFO - Epoch(train) [102][600/1879] lr: 2.0000e-03 eta: 23:10:29 time: 0.9264 data_time: 0.0290 memory: 11089 grad_norm: 4.2280 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5216 loss: 1.5216 2022/08/03 14:29:40 - mmengine - INFO - Epoch(train) [102][620/1879] lr: 2.0000e-03 eta: 23:10:11 time: 0.9101 data_time: 0.0292 memory: 11089 grad_norm: 4.2389 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5639 loss: 1.5639 2022/08/03 14:29:58 - mmengine - INFO - Epoch(train) [102][640/1879] lr: 2.0000e-03 eta: 23:09:52 time: 0.8980 data_time: 0.0249 memory: 11089 grad_norm: 4.2175 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7205 loss: 1.7205 2022/08/03 14:30:16 - mmengine - INFO - Epoch(train) [102][660/1879] lr: 2.0000e-03 eta: 23:09:34 time: 0.9067 data_time: 0.0231 memory: 11089 grad_norm: 4.0298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3478 loss: 1.3478 2022/08/03 14:30:35 - mmengine - INFO - Epoch(train) [102][680/1879] lr: 2.0000e-03 eta: 23:09:16 time: 0.9305 data_time: 0.0281 memory: 11089 grad_norm: 4.0492 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3640 loss: 1.3640 2022/08/03 14:30:53 - mmengine - INFO - Epoch(train) [102][700/1879] lr: 2.0000e-03 eta: 23:08:58 time: 0.8999 data_time: 0.0262 memory: 11089 grad_norm: 4.2205 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4612 loss: 1.4612 2022/08/03 14:31:11 - mmengine - INFO - Epoch(train) [102][720/1879] lr: 2.0000e-03 eta: 23:08:39 time: 0.9012 data_time: 0.0263 memory: 11089 grad_norm: 4.2733 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6793 loss: 1.6793 2022/08/03 14:31:30 - mmengine - INFO - Epoch(train) [102][740/1879] lr: 2.0000e-03 eta: 23:08:21 time: 0.9446 data_time: 0.0279 memory: 11089 grad_norm: 4.2122 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5058 loss: 1.5058 2022/08/03 14:31:48 - mmengine - INFO - Epoch(train) [102][760/1879] lr: 2.0000e-03 eta: 23:08:03 time: 0.9240 data_time: 0.0282 memory: 11089 grad_norm: 4.1614 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3829 loss: 1.3829 2022/08/03 14:32:07 - mmengine - INFO - Epoch(train) [102][780/1879] lr: 2.0000e-03 eta: 23:07:45 time: 0.9041 data_time: 0.0214 memory: 11089 grad_norm: 4.1909 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3886 loss: 1.3886 2022/08/03 14:32:25 - mmengine - INFO - Epoch(train) [102][800/1879] lr: 2.0000e-03 eta: 23:07:27 time: 0.9206 data_time: 0.0307 memory: 11089 grad_norm: 4.0780 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4934 loss: 1.4934 2022/08/03 14:32:43 - mmengine - INFO - Epoch(train) [102][820/1879] lr: 2.0000e-03 eta: 23:07:08 time: 0.9021 data_time: 0.0245 memory: 11089 grad_norm: 4.1425 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6210 loss: 1.6210 2022/08/03 14:33:02 - mmengine - INFO - Epoch(train) [102][840/1879] lr: 2.0000e-03 eta: 23:06:50 time: 0.9400 data_time: 0.0265 memory: 11089 grad_norm: 4.2122 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6737 loss: 1.6737 2022/08/03 14:33:20 - mmengine - INFO - Epoch(train) [102][860/1879] lr: 2.0000e-03 eta: 23:06:32 time: 0.9292 data_time: 0.0324 memory: 11089 grad_norm: 4.1008 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3804 loss: 1.3804 2022/08/03 14:33:39 - mmengine - INFO - Epoch(train) [102][880/1879] lr: 2.0000e-03 eta: 23:06:14 time: 0.9246 data_time: 0.0238 memory: 11089 grad_norm: 4.0083 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3938 loss: 1.3938 2022/08/03 14:33:57 - mmengine - INFO - Epoch(train) [102][900/1879] lr: 2.0000e-03 eta: 23:05:56 time: 0.9030 data_time: 0.0258 memory: 11089 grad_norm: 4.1533 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7040 loss: 1.7040 2022/08/03 14:34:16 - mmengine - INFO - Epoch(train) [102][920/1879] lr: 2.0000e-03 eta: 23:05:38 time: 0.9294 data_time: 0.0290 memory: 11089 grad_norm: 4.0902 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5803 loss: 1.5803 2022/08/03 14:34:34 - mmengine - INFO - Epoch(train) [102][940/1879] lr: 2.0000e-03 eta: 23:05:20 time: 0.9290 data_time: 0.0383 memory: 11089 grad_norm: 4.1882 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4995 loss: 1.4995 2022/08/03 14:34:53 - mmengine - INFO - Epoch(train) [102][960/1879] lr: 2.0000e-03 eta: 23:05:02 time: 0.9334 data_time: 0.0375 memory: 11089 grad_norm: 4.2077 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5055 loss: 1.5055 2022/08/03 14:35:11 - mmengine - INFO - Epoch(train) [102][980/1879] lr: 2.0000e-03 eta: 23:04:44 time: 0.9320 data_time: 0.0308 memory: 11089 grad_norm: 4.1624 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5085 loss: 1.5085 2022/08/03 14:35:30 - mmengine - INFO - Epoch(train) [102][1000/1879] lr: 2.0000e-03 eta: 23:04:25 time: 0.9083 data_time: 0.0323 memory: 11089 grad_norm: 4.1169 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3747 loss: 1.3747 2022/08/03 14:35:48 - mmengine - INFO - Epoch(train) [102][1020/1879] lr: 2.0000e-03 eta: 23:04:07 time: 0.9050 data_time: 0.0286 memory: 11089 grad_norm: 4.1530 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5603 loss: 1.5603 2022/08/03 14:36:06 - mmengine - INFO - Epoch(train) [102][1040/1879] lr: 2.0000e-03 eta: 23:03:49 time: 0.9102 data_time: 0.0264 memory: 11089 grad_norm: 4.1920 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4776 loss: 1.4776 2022/08/03 14:36:24 - mmengine - INFO - Epoch(train) [102][1060/1879] lr: 2.0000e-03 eta: 23:03:31 time: 0.9171 data_time: 0.0246 memory: 11089 grad_norm: 4.2012 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3146 loss: 1.3146 2022/08/03 14:36:43 - mmengine - INFO - Epoch(train) [102][1080/1879] lr: 2.0000e-03 eta: 23:03:12 time: 0.9198 data_time: 0.0243 memory: 11089 grad_norm: 4.3580 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6368 loss: 1.6368 2022/08/03 14:37:01 - mmengine - INFO - Epoch(train) [102][1100/1879] lr: 2.0000e-03 eta: 23:02:54 time: 0.9292 data_time: 0.0325 memory: 11089 grad_norm: 4.1160 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4029 loss: 1.4029 2022/08/03 14:37:20 - mmengine - INFO - Epoch(train) [102][1120/1879] lr: 2.0000e-03 eta: 23:02:36 time: 0.9351 data_time: 0.0268 memory: 11089 grad_norm: 4.1795 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4877 loss: 1.4877 2022/08/03 14:37:38 - mmengine - INFO - Epoch(train) [102][1140/1879] lr: 2.0000e-03 eta: 23:02:18 time: 0.9055 data_time: 0.0282 memory: 11089 grad_norm: 4.1659 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5362 loss: 1.5362 2022/08/03 14:37:57 - mmengine - INFO - Epoch(train) [102][1160/1879] lr: 2.0000e-03 eta: 23:02:00 time: 0.9197 data_time: 0.0311 memory: 11089 grad_norm: 4.1934 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4009 loss: 1.4009 2022/08/03 14:38:15 - mmengine - INFO - Epoch(train) [102][1180/1879] lr: 2.0000e-03 eta: 23:01:42 time: 0.9067 data_time: 0.0259 memory: 11089 grad_norm: 4.1727 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5350 loss: 1.5350 2022/08/03 14:38:33 - mmengine - INFO - Epoch(train) [102][1200/1879] lr: 2.0000e-03 eta: 23:01:23 time: 0.9139 data_time: 0.0303 memory: 11089 grad_norm: 4.2076 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4587 loss: 1.4587 2022/08/03 14:38:51 - mmengine - INFO - Epoch(train) [102][1220/1879] lr: 2.0000e-03 eta: 23:01:05 time: 0.9029 data_time: 0.0219 memory: 11089 grad_norm: 4.1970 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2313 loss: 1.2313 2022/08/03 14:38:52 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 14:39:09 - mmengine - INFO - Epoch(train) [102][1240/1879] lr: 2.0000e-03 eta: 23:00:47 time: 0.9091 data_time: 0.0252 memory: 11089 grad_norm: 4.1703 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.5052 loss: 1.5052 2022/08/03 14:39:27 - mmengine - INFO - Epoch(train) [102][1260/1879] lr: 2.0000e-03 eta: 23:00:28 time: 0.8987 data_time: 0.0284 memory: 11089 grad_norm: 4.1649 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6832 loss: 1.6832 2022/08/03 14:39:46 - mmengine - INFO - Epoch(train) [102][1280/1879] lr: 2.0000e-03 eta: 23:00:10 time: 0.9167 data_time: 0.0295 memory: 11089 grad_norm: 4.1087 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3855 loss: 1.3855 2022/08/03 14:40:04 - mmengine - INFO - Epoch(train) [102][1300/1879] lr: 2.0000e-03 eta: 22:59:52 time: 0.9323 data_time: 0.0259 memory: 11089 grad_norm: 4.2309 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4719 loss: 1.4719 2022/08/03 14:40:22 - mmengine - INFO - Epoch(train) [102][1320/1879] lr: 2.0000e-03 eta: 22:59:34 time: 0.8951 data_time: 0.0313 memory: 11089 grad_norm: 4.1034 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2834 loss: 1.2834 2022/08/03 14:40:41 - mmengine - INFO - Epoch(train) [102][1340/1879] lr: 2.0000e-03 eta: 22:59:16 time: 0.9338 data_time: 0.0294 memory: 11089 grad_norm: 4.0389 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6101 loss: 1.6101 2022/08/03 14:40:59 - mmengine - INFO - Epoch(train) [102][1360/1879] lr: 2.0000e-03 eta: 22:58:58 time: 0.9257 data_time: 0.0309 memory: 11089 grad_norm: 4.1692 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3388 loss: 1.3388 2022/08/03 14:41:18 - mmengine - INFO - Epoch(train) [102][1380/1879] lr: 2.0000e-03 eta: 22:58:39 time: 0.9071 data_time: 0.0262 memory: 11089 grad_norm: 4.1372 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5866 loss: 1.5866 2022/08/03 14:41:36 - mmengine - INFO - Epoch(train) [102][1400/1879] lr: 2.0000e-03 eta: 22:58:21 time: 0.9364 data_time: 0.0358 memory: 11089 grad_norm: 4.1972 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2628 loss: 1.2628 2022/08/03 14:41:55 - mmengine - INFO - Epoch(train) [102][1420/1879] lr: 2.0000e-03 eta: 22:58:03 time: 0.9355 data_time: 0.0343 memory: 11089 grad_norm: 4.2488 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5397 loss: 1.5397 2022/08/03 14:42:13 - mmengine - INFO - Epoch(train) [102][1440/1879] lr: 2.0000e-03 eta: 22:57:45 time: 0.9155 data_time: 0.0351 memory: 11089 grad_norm: 4.0596 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3144 loss: 1.3144 2022/08/03 14:42:32 - mmengine - INFO - Epoch(train) [102][1460/1879] lr: 2.0000e-03 eta: 22:57:27 time: 0.9328 data_time: 0.0304 memory: 11089 grad_norm: 4.1652 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7085 loss: 1.7085 2022/08/03 14:42:50 - mmengine - INFO - Epoch(train) [102][1480/1879] lr: 2.0000e-03 eta: 22:57:09 time: 0.9268 data_time: 0.0330 memory: 11089 grad_norm: 4.1827 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7974 loss: 1.7974 2022/08/03 14:43:09 - mmengine - INFO - Epoch(train) [102][1500/1879] lr: 2.0000e-03 eta: 22:56:51 time: 0.9530 data_time: 0.0305 memory: 11089 grad_norm: 4.1850 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3496 loss: 1.3496 2022/08/03 14:43:28 - mmengine - INFO - Epoch(train) [102][1520/1879] lr: 2.0000e-03 eta: 22:56:33 time: 0.9098 data_time: 0.0280 memory: 11089 grad_norm: 4.1087 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4449 loss: 1.4449 2022/08/03 14:43:46 - mmengine - INFO - Epoch(train) [102][1540/1879] lr: 2.0000e-03 eta: 22:56:15 time: 0.9311 data_time: 0.0276 memory: 11089 grad_norm: 4.1306 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3376 loss: 1.3376 2022/08/03 14:44:05 - mmengine - INFO - Epoch(train) [102][1560/1879] lr: 2.0000e-03 eta: 22:55:57 time: 0.9203 data_time: 0.0244 memory: 11089 grad_norm: 4.1953 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5441 loss: 1.5441 2022/08/03 14:44:23 - mmengine - INFO - Epoch(train) [102][1580/1879] lr: 2.0000e-03 eta: 22:55:39 time: 0.9363 data_time: 0.0359 memory: 11089 grad_norm: 4.1257 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3287 loss: 1.3287 2022/08/03 14:44:41 - mmengine - INFO - Epoch(train) [102][1600/1879] lr: 2.0000e-03 eta: 22:55:20 time: 0.9016 data_time: 0.0253 memory: 11089 grad_norm: 4.1441 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6987 loss: 1.6987 2022/08/03 14:45:00 - mmengine - INFO - Epoch(train) [102][1620/1879] lr: 2.0000e-03 eta: 22:55:02 time: 0.9095 data_time: 0.0268 memory: 11089 grad_norm: 4.2119 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4573 loss: 1.4573 2022/08/03 14:45:18 - mmengine - INFO - Epoch(train) [102][1640/1879] lr: 2.0000e-03 eta: 22:54:44 time: 0.9212 data_time: 0.0256 memory: 11089 grad_norm: 4.1320 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3744 loss: 1.3744 2022/08/03 14:45:36 - mmengine - INFO - Epoch(train) [102][1660/1879] lr: 2.0000e-03 eta: 22:54:26 time: 0.9176 data_time: 0.0302 memory: 11089 grad_norm: 4.2325 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4555 loss: 1.4555 2022/08/03 14:45:55 - mmengine - INFO - Epoch(train) [102][1680/1879] lr: 2.0000e-03 eta: 22:54:08 time: 0.9428 data_time: 0.0312 memory: 11089 grad_norm: 4.1235 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3971 loss: 1.3971 2022/08/03 14:46:14 - mmengine - INFO - Epoch(train) [102][1700/1879] lr: 2.0000e-03 eta: 22:53:50 time: 0.9288 data_time: 0.0260 memory: 11089 grad_norm: 4.1634 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4323 loss: 1.4323 2022/08/03 14:46:33 - mmengine - INFO - Epoch(train) [102][1720/1879] lr: 2.0000e-03 eta: 22:53:32 time: 0.9313 data_time: 0.0253 memory: 11089 grad_norm: 4.0898 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8064 loss: 1.8064 2022/08/03 14:46:51 - mmengine - INFO - Epoch(train) [102][1740/1879] lr: 2.0000e-03 eta: 22:53:13 time: 0.9214 data_time: 0.0250 memory: 11089 grad_norm: 4.2595 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4374 loss: 1.4374 2022/08/03 14:47:10 - mmengine - INFO - Epoch(train) [102][1760/1879] lr: 2.0000e-03 eta: 22:52:55 time: 0.9287 data_time: 0.0289 memory: 11089 grad_norm: 4.1520 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5071 loss: 1.5071 2022/08/03 14:47:27 - mmengine - INFO - Epoch(train) [102][1780/1879] lr: 2.0000e-03 eta: 22:52:37 time: 0.8948 data_time: 0.0233 memory: 11089 grad_norm: 4.2470 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4388 loss: 1.4388 2022/08/03 14:47:45 - mmengine - INFO - Epoch(train) [102][1800/1879] lr: 2.0000e-03 eta: 22:52:19 time: 0.8998 data_time: 0.0290 memory: 11089 grad_norm: 4.2127 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4223 loss: 1.4223 2022/08/03 14:48:04 - mmengine - INFO - Epoch(train) [102][1820/1879] lr: 2.0000e-03 eta: 22:52:01 time: 0.9469 data_time: 0.0346 memory: 11089 grad_norm: 4.2248 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4381 loss: 1.4381 2022/08/03 14:48:23 - mmengine - INFO - Epoch(train) [102][1840/1879] lr: 2.0000e-03 eta: 22:51:42 time: 0.9071 data_time: 0.0260 memory: 11089 grad_norm: 4.2076 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5357 loss: 1.5357 2022/08/03 14:48:41 - mmengine - INFO - Epoch(train) [102][1860/1879] lr: 2.0000e-03 eta: 22:51:24 time: 0.9264 data_time: 0.0304 memory: 11089 grad_norm: 4.2317 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5310 loss: 1.5310 2022/08/03 14:48:58 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 14:48:58 - mmengine - INFO - Epoch(train) [102][1879/1879] lr: 2.0000e-03 eta: 22:51:24 time: 0.8899 data_time: 0.0263 memory: 11089 grad_norm: 4.3582 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.3855 loss: 1.3855 2022/08/03 14:49:19 - mmengine - INFO - Epoch(train) [103][20/1879] lr: 2.0000e-03 eta: 22:50:42 time: 1.0443 data_time: 0.1583 memory: 11089 grad_norm: 4.1318 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2985 loss: 1.2985 2022/08/03 14:49:37 - mmengine - INFO - Epoch(train) [103][40/1879] lr: 2.0000e-03 eta: 22:50:23 time: 0.9078 data_time: 0.0279 memory: 11089 grad_norm: 4.1695 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4315 loss: 1.4315 2022/08/03 14:49:56 - mmengine - INFO - Epoch(train) [103][60/1879] lr: 2.0000e-03 eta: 22:50:05 time: 0.9175 data_time: 0.0273 memory: 11089 grad_norm: 4.2589 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.4137 loss: 1.4137 2022/08/03 14:50:14 - mmengine - INFO - Epoch(train) [103][80/1879] lr: 2.0000e-03 eta: 22:49:47 time: 0.9526 data_time: 0.0438 memory: 11089 grad_norm: 4.0697 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5368 loss: 1.5368 2022/08/03 14:50:33 - mmengine - INFO - Epoch(train) [103][100/1879] lr: 2.0000e-03 eta: 22:49:29 time: 0.9227 data_time: 0.0317 memory: 11089 grad_norm: 4.0934 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.4469 loss: 1.4469 2022/08/03 14:50:52 - mmengine - INFO - Epoch(train) [103][120/1879] lr: 2.0000e-03 eta: 22:49:11 time: 0.9314 data_time: 0.0285 memory: 11089 grad_norm: 4.1986 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5300 loss: 1.5300 2022/08/03 14:51:10 - mmengine - INFO - Epoch(train) [103][140/1879] lr: 2.0000e-03 eta: 22:48:53 time: 0.9237 data_time: 0.0274 memory: 11089 grad_norm: 4.1905 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6752 loss: 1.6752 2022/08/03 14:51:29 - mmengine - INFO - Epoch(train) [103][160/1879] lr: 2.0000e-03 eta: 22:48:35 time: 0.9313 data_time: 0.0308 memory: 11089 grad_norm: 4.2709 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4894 loss: 1.4894 2022/08/03 14:51:47 - mmengine - INFO - Epoch(train) [103][180/1879] lr: 2.0000e-03 eta: 22:48:17 time: 0.9261 data_time: 0.0277 memory: 11089 grad_norm: 4.1811 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5309 loss: 1.5309 2022/08/03 14:52:06 - mmengine - INFO - Epoch(train) [103][200/1879] lr: 2.0000e-03 eta: 22:47:59 time: 0.9246 data_time: 0.0345 memory: 11089 grad_norm: 4.2110 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5813 loss: 1.5813 2022/08/03 14:52:24 - mmengine - INFO - Epoch(train) [103][220/1879] lr: 2.0000e-03 eta: 22:47:41 time: 0.9202 data_time: 0.0252 memory: 11089 grad_norm: 4.1598 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3583 loss: 1.3583 2022/08/03 14:52:42 - mmengine - INFO - Epoch(train) [103][240/1879] lr: 2.0000e-03 eta: 22:47:22 time: 0.9139 data_time: 0.0288 memory: 11089 grad_norm: 4.2356 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3553 loss: 1.3553 2022/08/03 14:53:01 - mmengine - INFO - Epoch(train) [103][260/1879] lr: 2.0000e-03 eta: 22:47:04 time: 0.9271 data_time: 0.0339 memory: 11089 grad_norm: 4.0942 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2764 loss: 1.2764 2022/08/03 14:53:19 - mmengine - INFO - Epoch(train) [103][280/1879] lr: 2.0000e-03 eta: 22:46:46 time: 0.9068 data_time: 0.0245 memory: 11089 grad_norm: 4.1855 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4578 loss: 1.4578 2022/08/03 14:53:37 - mmengine - INFO - Epoch(train) [103][300/1879] lr: 2.0000e-03 eta: 22:46:28 time: 0.9037 data_time: 0.0311 memory: 11089 grad_norm: 4.1285 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3749 loss: 1.3749 2022/08/03 14:53:55 - mmengine - INFO - Epoch(train) [103][320/1879] lr: 2.0000e-03 eta: 22:46:09 time: 0.9009 data_time: 0.0255 memory: 11089 grad_norm: 4.1168 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.5668 loss: 1.5668 2022/08/03 14:54:13 - mmengine - INFO - Epoch(train) [103][340/1879] lr: 2.0000e-03 eta: 22:45:51 time: 0.9056 data_time: 0.0259 memory: 11089 grad_norm: 4.2635 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3862 loss: 1.3862 2022/08/03 14:54:15 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 14:54:32 - mmengine - INFO - Epoch(train) [103][360/1879] lr: 2.0000e-03 eta: 22:45:33 time: 0.9466 data_time: 0.0317 memory: 11089 grad_norm: 4.2461 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3910 loss: 1.3910 2022/08/03 14:54:51 - mmengine - INFO - Epoch(train) [103][380/1879] lr: 2.0000e-03 eta: 22:45:15 time: 0.9249 data_time: 0.0237 memory: 11089 grad_norm: 4.1125 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3124 loss: 1.3124 2022/08/03 14:55:09 - mmengine - INFO - Epoch(train) [103][400/1879] lr: 2.0000e-03 eta: 22:44:57 time: 0.9163 data_time: 0.0268 memory: 11089 grad_norm: 4.1995 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4094 loss: 1.4094 2022/08/03 14:55:27 - mmengine - INFO - Epoch(train) [103][420/1879] lr: 2.0000e-03 eta: 22:44:39 time: 0.9126 data_time: 0.0247 memory: 11089 grad_norm: 4.2306 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5134 loss: 1.5134 2022/08/03 14:55:45 - mmengine - INFO - Epoch(train) [103][440/1879] lr: 2.0000e-03 eta: 22:44:20 time: 0.9046 data_time: 0.0264 memory: 11089 grad_norm: 4.1091 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3702 loss: 1.3702 2022/08/03 14:56:04 - mmengine - INFO - Epoch(train) [103][460/1879] lr: 2.0000e-03 eta: 22:44:02 time: 0.9206 data_time: 0.0233 memory: 11089 grad_norm: 4.3000 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4569 loss: 1.4569 2022/08/03 14:56:22 - mmengine - INFO - Epoch(train) [103][480/1879] lr: 2.0000e-03 eta: 22:43:44 time: 0.9038 data_time: 0.0234 memory: 11089 grad_norm: 4.2496 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.4436 loss: 1.4436 2022/08/03 14:56:40 - mmengine - INFO - Epoch(train) [103][500/1879] lr: 2.0000e-03 eta: 22:43:25 time: 0.9033 data_time: 0.0248 memory: 11089 grad_norm: 4.3185 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5598 loss: 1.5598 2022/08/03 14:56:58 - mmengine - INFO - Epoch(train) [103][520/1879] lr: 2.0000e-03 eta: 22:43:07 time: 0.9025 data_time: 0.0270 memory: 11089 grad_norm: 4.2452 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5637 loss: 1.5637 2022/08/03 14:57:17 - mmengine - INFO - Epoch(train) [103][540/1879] lr: 2.0000e-03 eta: 22:42:49 time: 0.9324 data_time: 0.0316 memory: 11089 grad_norm: 4.1925 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6215 loss: 1.6215 2022/08/03 14:57:35 - mmengine - INFO - Epoch(train) [103][560/1879] lr: 2.0000e-03 eta: 22:42:31 time: 0.9319 data_time: 0.0294 memory: 11089 grad_norm: 4.2174 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3370 loss: 1.3370 2022/08/03 14:57:54 - mmengine - INFO - Epoch(train) [103][580/1879] lr: 2.0000e-03 eta: 22:42:13 time: 0.9192 data_time: 0.0330 memory: 11089 grad_norm: 4.1888 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3436 loss: 1.3436 2022/08/03 14:58:13 - mmengine - INFO - Epoch(train) [103][600/1879] lr: 2.0000e-03 eta: 22:41:55 time: 0.9406 data_time: 0.0257 memory: 11089 grad_norm: 4.3288 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4883 loss: 1.4883 2022/08/03 14:58:31 - mmengine - INFO - Epoch(train) [103][620/1879] lr: 2.0000e-03 eta: 22:41:37 time: 0.9323 data_time: 0.0242 memory: 11089 grad_norm: 4.1512 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3109 loss: 1.3109 2022/08/03 14:58:49 - mmengine - INFO - Epoch(train) [103][640/1879] lr: 2.0000e-03 eta: 22:41:18 time: 0.9037 data_time: 0.0302 memory: 11089 grad_norm: 4.2471 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4561 loss: 1.4561 2022/08/03 14:59:08 - mmengine - INFO - Epoch(train) [103][660/1879] lr: 2.0000e-03 eta: 22:41:00 time: 0.9255 data_time: 0.0252 memory: 11089 grad_norm: 4.1489 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.5021 loss: 1.5021 2022/08/03 14:59:26 - mmengine - INFO - Epoch(train) [103][680/1879] lr: 2.0000e-03 eta: 22:40:42 time: 0.9211 data_time: 0.0288 memory: 11089 grad_norm: 4.2982 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4924 loss: 1.4924 2022/08/03 14:59:45 - mmengine - INFO - Epoch(train) [103][700/1879] lr: 2.0000e-03 eta: 22:40:24 time: 0.9135 data_time: 0.0249 memory: 11089 grad_norm: 4.1533 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4239 loss: 1.4239 2022/08/03 15:00:03 - mmengine - INFO - Epoch(train) [103][720/1879] lr: 2.0000e-03 eta: 22:40:06 time: 0.9109 data_time: 0.0271 memory: 11089 grad_norm: 4.1732 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5199 loss: 1.5199 2022/08/03 15:00:21 - mmengine - INFO - Epoch(train) [103][740/1879] lr: 2.0000e-03 eta: 22:39:48 time: 0.9227 data_time: 0.0299 memory: 11089 grad_norm: 4.0626 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3710 loss: 1.3710 2022/08/03 15:00:40 - mmengine - INFO - Epoch(train) [103][760/1879] lr: 2.0000e-03 eta: 22:39:29 time: 0.9285 data_time: 0.0295 memory: 11089 grad_norm: 4.0797 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2900 loss: 1.2900 2022/08/03 15:00:58 - mmengine - INFO - Epoch(train) [103][780/1879] lr: 2.0000e-03 eta: 22:39:11 time: 0.9248 data_time: 0.0352 memory: 11089 grad_norm: 4.3421 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4278 loss: 1.4278 2022/08/03 15:01:17 - mmengine - INFO - Epoch(train) [103][800/1879] lr: 2.0000e-03 eta: 22:38:53 time: 0.9311 data_time: 0.0270 memory: 11089 grad_norm: 4.1043 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3403 loss: 1.3403 2022/08/03 15:01:35 - mmengine - INFO - Epoch(train) [103][820/1879] lr: 2.0000e-03 eta: 22:38:35 time: 0.9012 data_time: 0.0273 memory: 11089 grad_norm: 4.1996 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7088 loss: 1.7088 2022/08/03 15:01:54 - mmengine - INFO - Epoch(train) [103][840/1879] lr: 2.0000e-03 eta: 22:38:17 time: 0.9444 data_time: 0.0351 memory: 11089 grad_norm: 4.3392 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4141 loss: 1.4141 2022/08/03 15:02:12 - mmengine - INFO - Epoch(train) [103][860/1879] lr: 2.0000e-03 eta: 22:37:59 time: 0.9229 data_time: 0.0345 memory: 11089 grad_norm: 4.2481 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4465 loss: 1.4465 2022/08/03 15:02:31 - mmengine - INFO - Epoch(train) [103][880/1879] lr: 2.0000e-03 eta: 22:37:41 time: 0.9140 data_time: 0.0257 memory: 11089 grad_norm: 4.1620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3494 loss: 1.3494 2022/08/03 15:02:49 - mmengine - INFO - Epoch(train) [103][900/1879] lr: 2.0000e-03 eta: 22:37:22 time: 0.9135 data_time: 0.0289 memory: 11089 grad_norm: 4.1574 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3307 loss: 1.3307 2022/08/03 15:03:07 - mmengine - INFO - Epoch(train) [103][920/1879] lr: 2.0000e-03 eta: 22:37:04 time: 0.9298 data_time: 0.0284 memory: 11089 grad_norm: 4.2630 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7314 loss: 1.7314 2022/08/03 15:03:26 - mmengine - INFO - Epoch(train) [103][940/1879] lr: 2.0000e-03 eta: 22:36:46 time: 0.9306 data_time: 0.0333 memory: 11089 grad_norm: 4.1935 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3744 loss: 1.3744 2022/08/03 15:03:44 - mmengine - INFO - Epoch(train) [103][960/1879] lr: 2.0000e-03 eta: 22:36:28 time: 0.9023 data_time: 0.0335 memory: 11089 grad_norm: 4.2664 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5556 loss: 1.5556 2022/08/03 15:04:03 - mmengine - INFO - Epoch(train) [103][980/1879] lr: 2.0000e-03 eta: 22:36:10 time: 0.9302 data_time: 0.0337 memory: 11089 grad_norm: 4.2472 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.4165 loss: 1.4165 2022/08/03 15:04:21 - mmengine - INFO - Epoch(train) [103][1000/1879] lr: 2.0000e-03 eta: 22:35:52 time: 0.9209 data_time: 0.0316 memory: 11089 grad_norm: 4.1452 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4757 loss: 1.4757 2022/08/03 15:04:39 - mmengine - INFO - Epoch(train) [103][1020/1879] lr: 2.0000e-03 eta: 22:35:33 time: 0.9117 data_time: 0.0245 memory: 11089 grad_norm: 4.3582 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2686 loss: 1.2686 2022/08/03 15:04:57 - mmengine - INFO - Epoch(train) [103][1040/1879] lr: 2.0000e-03 eta: 22:35:15 time: 0.8987 data_time: 0.0261 memory: 11089 grad_norm: 4.1229 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3733 loss: 1.3733 2022/08/03 15:05:16 - mmengine - INFO - Epoch(train) [103][1060/1879] lr: 2.0000e-03 eta: 22:34:57 time: 0.9195 data_time: 0.0267 memory: 11089 grad_norm: 4.2600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4632 loss: 1.4632 2022/08/03 15:05:34 - mmengine - INFO - Epoch(train) [103][1080/1879] lr: 2.0000e-03 eta: 22:34:39 time: 0.9217 data_time: 0.0320 memory: 11089 grad_norm: 4.2731 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5149 loss: 1.5149 2022/08/03 15:05:52 - mmengine - INFO - Epoch(train) [103][1100/1879] lr: 2.0000e-03 eta: 22:34:21 time: 0.9129 data_time: 0.0252 memory: 11089 grad_norm: 4.2459 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5497 loss: 1.5497 2022/08/03 15:06:11 - mmengine - INFO - Epoch(train) [103][1120/1879] lr: 2.0000e-03 eta: 22:34:03 time: 0.9377 data_time: 0.0339 memory: 11089 grad_norm: 4.2244 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4373 loss: 1.4373 2022/08/03 15:06:30 - mmengine - INFO - Epoch(train) [103][1140/1879] lr: 2.0000e-03 eta: 22:33:44 time: 0.9303 data_time: 0.0313 memory: 11089 grad_norm: 4.1340 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3733 loss: 1.3733 2022/08/03 15:06:48 - mmengine - INFO - Epoch(train) [103][1160/1879] lr: 2.0000e-03 eta: 22:33:26 time: 0.9179 data_time: 0.0270 memory: 11089 grad_norm: 4.2386 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4194 loss: 1.4194 2022/08/03 15:07:07 - mmengine - INFO - Epoch(train) [103][1180/1879] lr: 2.0000e-03 eta: 22:33:08 time: 0.9293 data_time: 0.0292 memory: 11089 grad_norm: 4.1970 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6616 loss: 1.6616 2022/08/03 15:07:25 - mmengine - INFO - Epoch(train) [103][1200/1879] lr: 2.0000e-03 eta: 22:32:50 time: 0.9244 data_time: 0.0319 memory: 11089 grad_norm: 4.2672 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3746 loss: 1.3746 2022/08/03 15:07:44 - mmengine - INFO - Epoch(train) [103][1220/1879] lr: 2.0000e-03 eta: 22:32:32 time: 0.9233 data_time: 0.0230 memory: 11089 grad_norm: 4.1703 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4245 loss: 1.4245 2022/08/03 15:08:02 - mmengine - INFO - Epoch(train) [103][1240/1879] lr: 2.0000e-03 eta: 22:32:14 time: 0.9024 data_time: 0.0264 memory: 11089 grad_norm: 4.1187 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5412 loss: 1.5412 2022/08/03 15:08:20 - mmengine - INFO - Epoch(train) [103][1260/1879] lr: 2.0000e-03 eta: 22:31:55 time: 0.9147 data_time: 0.0306 memory: 11089 grad_norm: 4.2701 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5632 loss: 1.5632 2022/08/03 15:08:38 - mmengine - INFO - Epoch(train) [103][1280/1879] lr: 2.0000e-03 eta: 22:31:37 time: 0.9152 data_time: 0.0305 memory: 11089 grad_norm: 4.3436 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5597 loss: 1.5597 2022/08/03 15:08:57 - mmengine - INFO - Epoch(train) [103][1300/1879] lr: 2.0000e-03 eta: 22:31:19 time: 0.9244 data_time: 0.0241 memory: 11089 grad_norm: 4.1418 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2502 loss: 1.2502 2022/08/03 15:09:15 - mmengine - INFO - Epoch(train) [103][1320/1879] lr: 2.0000e-03 eta: 22:31:01 time: 0.9216 data_time: 0.0254 memory: 11089 grad_norm: 4.2718 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4390 loss: 1.4390 2022/08/03 15:09:34 - mmengine - INFO - Epoch(train) [103][1340/1879] lr: 2.0000e-03 eta: 22:30:43 time: 0.9270 data_time: 0.0215 memory: 11089 grad_norm: 4.2851 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5705 loss: 1.5705 2022/08/03 15:09:36 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 15:09:52 - mmengine - INFO - Epoch(train) [103][1360/1879] lr: 2.0000e-03 eta: 22:30:24 time: 0.9117 data_time: 0.0238 memory: 11089 grad_norm: 4.1382 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2411 loss: 1.2411 2022/08/03 15:10:11 - mmengine - INFO - Epoch(train) [103][1380/1879] lr: 2.0000e-03 eta: 22:30:06 time: 0.9241 data_time: 0.0219 memory: 11089 grad_norm: 4.3319 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3837 loss: 1.3837 2022/08/03 15:10:29 - mmengine - INFO - Epoch(train) [103][1400/1879] lr: 2.0000e-03 eta: 22:29:48 time: 0.9157 data_time: 0.0279 memory: 11089 grad_norm: 4.2136 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5166 loss: 1.5166 2022/08/03 15:10:47 - mmengine - INFO - Epoch(train) [103][1420/1879] lr: 2.0000e-03 eta: 22:29:30 time: 0.9155 data_time: 0.0210 memory: 11089 grad_norm: 4.3643 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5502 loss: 1.5502 2022/08/03 15:11:06 - mmengine - INFO - Epoch(train) [103][1440/1879] lr: 2.0000e-03 eta: 22:29:12 time: 0.9142 data_time: 0.0254 memory: 11089 grad_norm: 4.3050 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5041 loss: 1.5041 2022/08/03 15:11:24 - mmengine - INFO - Epoch(train) [103][1460/1879] lr: 2.0000e-03 eta: 22:28:53 time: 0.9130 data_time: 0.0322 memory: 11089 grad_norm: 4.2891 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3874 loss: 1.3874 2022/08/03 15:11:42 - mmengine - INFO - Epoch(train) [103][1480/1879] lr: 2.0000e-03 eta: 22:28:35 time: 0.9145 data_time: 0.0307 memory: 11089 grad_norm: 4.3170 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5120 loss: 1.5120 2022/08/03 15:12:01 - mmengine - INFO - Epoch(train) [103][1500/1879] lr: 2.0000e-03 eta: 22:28:17 time: 0.9236 data_time: 0.0292 memory: 11089 grad_norm: 4.3158 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7078 loss: 1.7078 2022/08/03 15:12:19 - mmengine - INFO - Epoch(train) [103][1520/1879] lr: 2.0000e-03 eta: 22:27:59 time: 0.9214 data_time: 0.0275 memory: 11089 grad_norm: 4.2332 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2027 loss: 1.2027 2022/08/03 15:12:37 - mmengine - INFO - Epoch(train) [103][1540/1879] lr: 2.0000e-03 eta: 22:27:41 time: 0.8998 data_time: 0.0297 memory: 11089 grad_norm: 4.2140 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4747 loss: 1.4747 2022/08/03 15:12:55 - mmengine - INFO - Epoch(train) [103][1560/1879] lr: 2.0000e-03 eta: 22:27:22 time: 0.9183 data_time: 0.0289 memory: 11089 grad_norm: 4.2713 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5724 loss: 1.5724 2022/08/03 15:13:14 - mmengine - INFO - Epoch(train) [103][1580/1879] lr: 2.0000e-03 eta: 22:27:04 time: 0.9220 data_time: 0.0279 memory: 11089 grad_norm: 4.3955 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4904 loss: 1.4904 2022/08/03 15:13:32 - mmengine - INFO - Epoch(train) [103][1600/1879] lr: 2.0000e-03 eta: 22:26:46 time: 0.8983 data_time: 0.0228 memory: 11089 grad_norm: 4.2123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4488 loss: 1.4488 2022/08/03 15:13:50 - mmengine - INFO - Epoch(train) [103][1620/1879] lr: 2.0000e-03 eta: 22:26:27 time: 0.8928 data_time: 0.0253 memory: 11089 grad_norm: 4.2005 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5104 loss: 1.5104 2022/08/03 15:14:08 - mmengine - INFO - Epoch(train) [103][1640/1879] lr: 2.0000e-03 eta: 22:26:09 time: 0.9234 data_time: 0.0280 memory: 11089 grad_norm: 4.3224 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5061 loss: 1.5061 2022/08/03 15:14:26 - mmengine - INFO - Epoch(train) [103][1660/1879] lr: 2.0000e-03 eta: 22:25:51 time: 0.9143 data_time: 0.0307 memory: 11089 grad_norm: 4.4727 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6514 loss: 1.6514 2022/08/03 15:14:45 - mmengine - INFO - Epoch(train) [103][1680/1879] lr: 2.0000e-03 eta: 22:25:33 time: 0.9151 data_time: 0.0322 memory: 11089 grad_norm: 4.2612 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5631 loss: 1.5631 2022/08/03 15:15:03 - mmengine - INFO - Epoch(train) [103][1700/1879] lr: 2.0000e-03 eta: 22:25:15 time: 0.9292 data_time: 0.0305 memory: 11089 grad_norm: 4.3198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4704 loss: 1.4704 2022/08/03 15:15:22 - mmengine - INFO - Epoch(train) [103][1720/1879] lr: 2.0000e-03 eta: 22:24:57 time: 0.9348 data_time: 0.0260 memory: 11089 grad_norm: 4.3335 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5311 loss: 1.5311 2022/08/03 15:15:40 - mmengine - INFO - Epoch(train) [103][1740/1879] lr: 2.0000e-03 eta: 22:24:38 time: 0.8975 data_time: 0.0211 memory: 11089 grad_norm: 4.2300 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5013 loss: 1.5013 2022/08/03 15:15:58 - mmengine - INFO - Epoch(train) [103][1760/1879] lr: 2.0000e-03 eta: 22:24:20 time: 0.9107 data_time: 0.0274 memory: 11089 grad_norm: 4.2327 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6275 loss: 1.6275 2022/08/03 15:16:17 - mmengine - INFO - Epoch(train) [103][1780/1879] lr: 2.0000e-03 eta: 22:24:02 time: 0.9281 data_time: 0.0308 memory: 11089 grad_norm: 4.3583 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3848 loss: 1.3848 2022/08/03 15:16:36 - mmengine - INFO - Epoch(train) [103][1800/1879] lr: 2.0000e-03 eta: 22:23:44 time: 0.9424 data_time: 0.0308 memory: 11089 grad_norm: 4.1734 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4282 loss: 1.4282 2022/08/03 15:16:54 - mmengine - INFO - Epoch(train) [103][1820/1879] lr: 2.0000e-03 eta: 22:23:26 time: 0.9063 data_time: 0.0231 memory: 11089 grad_norm: 4.3481 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5686 loss: 1.5686 2022/08/03 15:17:12 - mmengine - INFO - Epoch(train) [103][1840/1879] lr: 2.0000e-03 eta: 22:23:07 time: 0.9045 data_time: 0.0249 memory: 11089 grad_norm: 4.3133 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4498 loss: 1.4498 2022/08/03 15:17:30 - mmengine - INFO - Epoch(train) [103][1860/1879] lr: 2.0000e-03 eta: 22:22:49 time: 0.9013 data_time: 0.0270 memory: 11089 grad_norm: 4.2979 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5407 loss: 1.5407 2022/08/03 15:17:47 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 15:17:47 - mmengine - INFO - Epoch(train) [103][1879/1879] lr: 2.0000e-03 eta: 22:22:49 time: 0.9141 data_time: 0.0278 memory: 11089 grad_norm: 4.5100 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.7037 loss: 1.7037 2022/08/03 15:18:07 - mmengine - INFO - Epoch(train) [104][20/1879] lr: 2.0000e-03 eta: 22:22:06 time: 0.9899 data_time: 0.1347 memory: 11089 grad_norm: 4.3448 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4585 loss: 1.4585 2022/08/03 15:18:26 - mmengine - INFO - Epoch(train) [104][40/1879] lr: 2.0000e-03 eta: 22:21:48 time: 0.9184 data_time: 0.0294 memory: 11089 grad_norm: 4.2004 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3715 loss: 1.3715 2022/08/03 15:18:44 - mmengine - INFO - Epoch(train) [104][60/1879] lr: 2.0000e-03 eta: 22:21:30 time: 0.9268 data_time: 0.0311 memory: 11089 grad_norm: 4.1917 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3876 loss: 1.3876 2022/08/03 15:19:03 - mmengine - INFO - Epoch(train) [104][80/1879] lr: 2.0000e-03 eta: 22:21:12 time: 0.9230 data_time: 0.0216 memory: 11089 grad_norm: 4.2587 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4408 loss: 1.4408 2022/08/03 15:19:21 - mmengine - INFO - Epoch(train) [104][100/1879] lr: 2.0000e-03 eta: 22:20:54 time: 0.9135 data_time: 0.0251 memory: 11089 grad_norm: 4.2651 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5095 loss: 1.5095 2022/08/03 15:19:39 - mmengine - INFO - Epoch(train) [104][120/1879] lr: 2.0000e-03 eta: 22:20:36 time: 0.9161 data_time: 0.0348 memory: 11089 grad_norm: 4.2843 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3652 loss: 1.3652 2022/08/03 15:19:58 - mmengine - INFO - Epoch(train) [104][140/1879] lr: 2.0000e-03 eta: 22:20:17 time: 0.9164 data_time: 0.0252 memory: 11089 grad_norm: 4.3242 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4674 loss: 1.4674 2022/08/03 15:20:16 - mmengine - INFO - Epoch(train) [104][160/1879] lr: 2.0000e-03 eta: 22:19:59 time: 0.9269 data_time: 0.0262 memory: 11089 grad_norm: 4.2913 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3855 loss: 1.3855 2022/08/03 15:20:34 - mmengine - INFO - Epoch(train) [104][180/1879] lr: 2.0000e-03 eta: 22:19:41 time: 0.9120 data_time: 0.0265 memory: 11089 grad_norm: 4.3281 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1603 loss: 1.1603 2022/08/03 15:20:53 - mmengine - INFO - Epoch(train) [104][200/1879] lr: 2.0000e-03 eta: 22:19:23 time: 0.9117 data_time: 0.0262 memory: 11089 grad_norm: 4.2770 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2832 loss: 1.2832 2022/08/03 15:21:11 - mmengine - INFO - Epoch(train) [104][220/1879] lr: 2.0000e-03 eta: 22:19:04 time: 0.9046 data_time: 0.0264 memory: 11089 grad_norm: 4.3685 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4329 loss: 1.4329 2022/08/03 15:21:29 - mmengine - INFO - Epoch(train) [104][240/1879] lr: 2.0000e-03 eta: 22:18:46 time: 0.9003 data_time: 0.0278 memory: 11089 grad_norm: 4.4385 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5530 loss: 1.5530 2022/08/03 15:21:48 - mmengine - INFO - Epoch(train) [104][260/1879] lr: 2.0000e-03 eta: 22:18:28 time: 0.9437 data_time: 0.0323 memory: 11089 grad_norm: 4.2868 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2019 loss: 1.2019 2022/08/03 15:22:06 - mmengine - INFO - Epoch(train) [104][280/1879] lr: 2.0000e-03 eta: 22:18:10 time: 0.9261 data_time: 0.0331 memory: 11089 grad_norm: 4.3768 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7234 loss: 1.7234 2022/08/03 15:22:25 - mmengine - INFO - Epoch(train) [104][300/1879] lr: 2.0000e-03 eta: 22:17:52 time: 0.9362 data_time: 0.0280 memory: 11089 grad_norm: 4.3982 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4244 loss: 1.4244 2022/08/03 15:22:44 - mmengine - INFO - Epoch(train) [104][320/1879] lr: 2.0000e-03 eta: 22:17:34 time: 0.9346 data_time: 0.0265 memory: 11089 grad_norm: 4.0666 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3308 loss: 1.3308 2022/08/03 15:23:02 - mmengine - INFO - Epoch(train) [104][340/1879] lr: 2.0000e-03 eta: 22:17:16 time: 0.9112 data_time: 0.0337 memory: 11089 grad_norm: 4.3857 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3745 loss: 1.3745 2022/08/03 15:23:20 - mmengine - INFO - Epoch(train) [104][360/1879] lr: 2.0000e-03 eta: 22:16:57 time: 0.9023 data_time: 0.0286 memory: 11089 grad_norm: 4.1795 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3614 loss: 1.3614 2022/08/03 15:23:38 - mmengine - INFO - Epoch(train) [104][380/1879] lr: 2.0000e-03 eta: 22:16:39 time: 0.9123 data_time: 0.0242 memory: 11089 grad_norm: 4.3573 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7297 loss: 1.7297 2022/08/03 15:23:56 - mmengine - INFO - Epoch(train) [104][400/1879] lr: 2.0000e-03 eta: 22:16:21 time: 0.9171 data_time: 0.0279 memory: 11089 grad_norm: 4.2896 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3148 loss: 1.3148 2022/08/03 15:24:15 - mmengine - INFO - Epoch(train) [104][420/1879] lr: 2.0000e-03 eta: 22:16:03 time: 0.9175 data_time: 0.0320 memory: 11089 grad_norm: 4.1615 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4587 loss: 1.4587 2022/08/03 15:24:33 - mmengine - INFO - Epoch(train) [104][440/1879] lr: 2.0000e-03 eta: 22:15:45 time: 0.9213 data_time: 0.0284 memory: 11089 grad_norm: 4.3340 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6020 loss: 1.6020 2022/08/03 15:24:52 - mmengine - INFO - Epoch(train) [104][460/1879] lr: 2.0000e-03 eta: 22:15:26 time: 0.9181 data_time: 0.0249 memory: 11089 grad_norm: 4.3773 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4619 loss: 1.4619 2022/08/03 15:24:54 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 15:25:10 - mmengine - INFO - Epoch(train) [104][480/1879] lr: 2.0000e-03 eta: 22:15:08 time: 0.9009 data_time: 0.0260 memory: 11089 grad_norm: 4.2998 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3157 loss: 1.3157 2022/08/03 15:25:28 - mmengine - INFO - Epoch(train) [104][500/1879] lr: 2.0000e-03 eta: 22:14:50 time: 0.9199 data_time: 0.0236 memory: 11089 grad_norm: 4.2638 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3724 loss: 1.3724 2022/08/03 15:25:46 - mmengine - INFO - Epoch(train) [104][520/1879] lr: 2.0000e-03 eta: 22:14:32 time: 0.9124 data_time: 0.0272 memory: 11089 grad_norm: 4.2908 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2611 loss: 1.2611 2022/08/03 15:26:04 - mmengine - INFO - Epoch(train) [104][540/1879] lr: 2.0000e-03 eta: 22:14:13 time: 0.9097 data_time: 0.0265 memory: 11089 grad_norm: 4.2936 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3968 loss: 1.3968 2022/08/03 15:26:23 - mmengine - INFO - Epoch(train) [104][560/1879] lr: 2.0000e-03 eta: 22:13:55 time: 0.9374 data_time: 0.0360 memory: 11089 grad_norm: 4.3025 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3586 loss: 1.3586 2022/08/03 15:26:41 - mmengine - INFO - Epoch(train) [104][580/1879] lr: 2.0000e-03 eta: 22:13:37 time: 0.8772 data_time: 0.0666 memory: 11089 grad_norm: 4.2659 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3446 loss: 1.3446 2022/08/03 15:26:59 - mmengine - INFO - Epoch(train) [104][600/1879] lr: 2.0000e-03 eta: 22:13:19 time: 0.9228 data_time: 0.0285 memory: 11089 grad_norm: 4.2781 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5904 loss: 1.5904 2022/08/03 15:27:18 - mmengine - INFO - Epoch(train) [104][620/1879] lr: 2.0000e-03 eta: 22:13:01 time: 0.9330 data_time: 0.0293 memory: 11089 grad_norm: 4.2211 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2288 loss: 1.2288 2022/08/03 15:27:36 - mmengine - INFO - Epoch(train) [104][640/1879] lr: 2.0000e-03 eta: 22:12:43 time: 0.9281 data_time: 0.0305 memory: 11089 grad_norm: 4.3466 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.4682 loss: 1.4682 2022/08/03 15:27:55 - mmengine - INFO - Epoch(train) [104][660/1879] lr: 2.0000e-03 eta: 22:12:25 time: 0.9357 data_time: 0.0293 memory: 11089 grad_norm: 4.3873 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5078 loss: 1.5078 2022/08/03 15:28:13 - mmengine - INFO - Epoch(train) [104][680/1879] lr: 2.0000e-03 eta: 22:12:06 time: 0.8976 data_time: 0.0277 memory: 11089 grad_norm: 4.3082 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0999 loss: 1.0999 2022/08/03 15:28:31 - mmengine - INFO - Epoch(train) [104][700/1879] lr: 2.0000e-03 eta: 22:11:48 time: 0.9113 data_time: 0.0278 memory: 11089 grad_norm: 4.3749 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5107 loss: 1.5107 2022/08/03 15:28:49 - mmengine - INFO - Epoch(train) [104][720/1879] lr: 2.0000e-03 eta: 22:11:30 time: 0.9002 data_time: 0.0279 memory: 11089 grad_norm: 4.3651 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4343 loss: 1.4343 2022/08/03 15:29:07 - mmengine - INFO - Epoch(train) [104][740/1879] lr: 2.0000e-03 eta: 22:11:11 time: 0.9058 data_time: 0.0294 memory: 11089 grad_norm: 4.3497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4885 loss: 1.4885 2022/08/03 15:29:26 - mmengine - INFO - Epoch(train) [104][760/1879] lr: 2.0000e-03 eta: 22:10:53 time: 0.9042 data_time: 0.0246 memory: 11089 grad_norm: 4.2301 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4997 loss: 1.4997 2022/08/03 15:29:44 - mmengine - INFO - Epoch(train) [104][780/1879] lr: 2.0000e-03 eta: 22:10:35 time: 0.9215 data_time: 0.0294 memory: 11089 grad_norm: 4.3195 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.3212 loss: 1.3212 2022/08/03 15:30:02 - mmengine - INFO - Epoch(train) [104][800/1879] lr: 2.0000e-03 eta: 22:10:17 time: 0.9129 data_time: 0.0285 memory: 11089 grad_norm: 4.4633 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5960 loss: 1.5960 2022/08/03 15:30:20 - mmengine - INFO - Epoch(train) [104][820/1879] lr: 2.0000e-03 eta: 22:09:58 time: 0.9042 data_time: 0.0228 memory: 11089 grad_norm: 4.2850 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3413 loss: 1.3413 2022/08/03 15:30:39 - mmengine - INFO - Epoch(train) [104][840/1879] lr: 2.0000e-03 eta: 22:09:40 time: 0.9168 data_time: 0.0244 memory: 11089 grad_norm: 4.3804 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5037 loss: 1.5037 2022/08/03 15:30:57 - mmengine - INFO - Epoch(train) [104][860/1879] lr: 2.0000e-03 eta: 22:09:22 time: 0.9091 data_time: 0.0225 memory: 11089 grad_norm: 4.3376 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4868 loss: 1.4868 2022/08/03 15:31:16 - mmengine - INFO - Epoch(train) [104][880/1879] lr: 2.0000e-03 eta: 22:09:04 time: 0.9364 data_time: 0.0197 memory: 11089 grad_norm: 4.3288 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4041 loss: 1.4041 2022/08/03 15:31:34 - mmengine - INFO - Epoch(train) [104][900/1879] lr: 2.0000e-03 eta: 22:08:46 time: 0.9353 data_time: 0.0258 memory: 11089 grad_norm: 4.3026 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5682 loss: 1.5682 2022/08/03 15:31:52 - mmengine - INFO - Epoch(train) [104][920/1879] lr: 2.0000e-03 eta: 22:08:27 time: 0.8984 data_time: 0.0257 memory: 11089 grad_norm: 4.2063 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6650 loss: 1.6650 2022/08/03 15:32:10 - mmengine - INFO - Epoch(train) [104][940/1879] lr: 2.0000e-03 eta: 22:08:09 time: 0.9021 data_time: 0.0252 memory: 11089 grad_norm: 4.3475 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4003 loss: 1.4003 2022/08/03 15:32:29 - mmengine - INFO - Epoch(train) [104][960/1879] lr: 2.0000e-03 eta: 22:07:51 time: 0.9295 data_time: 0.0337 memory: 11089 grad_norm: 4.2327 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6584 loss: 1.6584 2022/08/03 15:32:47 - mmengine - INFO - Epoch(train) [104][980/1879] lr: 2.0000e-03 eta: 22:07:33 time: 0.9176 data_time: 0.0251 memory: 11089 grad_norm: 4.3313 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5095 loss: 1.5095 2022/08/03 15:33:06 - mmengine - INFO - Epoch(train) [104][1000/1879] lr: 2.0000e-03 eta: 22:07:14 time: 0.9114 data_time: 0.0225 memory: 11089 grad_norm: 4.2856 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4698 loss: 1.4698 2022/08/03 15:33:24 - mmengine - INFO - Epoch(train) [104][1020/1879] lr: 2.0000e-03 eta: 22:06:56 time: 0.9014 data_time: 0.0237 memory: 11089 grad_norm: 4.2047 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5436 loss: 1.5436 2022/08/03 15:33:42 - mmengine - INFO - Epoch(train) [104][1040/1879] lr: 2.0000e-03 eta: 22:06:38 time: 0.9040 data_time: 0.0255 memory: 11089 grad_norm: 4.2564 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3125 loss: 1.3125 2022/08/03 15:34:00 - mmengine - INFO - Epoch(train) [104][1060/1879] lr: 2.0000e-03 eta: 22:06:20 time: 0.9379 data_time: 0.0211 memory: 11089 grad_norm: 4.2482 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4092 loss: 1.4092 2022/08/03 15:34:18 - mmengine - INFO - Epoch(train) [104][1080/1879] lr: 2.0000e-03 eta: 22:06:01 time: 0.8980 data_time: 0.0220 memory: 11089 grad_norm: 4.2407 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3354 loss: 1.3354 2022/08/03 15:34:37 - mmengine - INFO - Epoch(train) [104][1100/1879] lr: 2.0000e-03 eta: 22:05:43 time: 0.9281 data_time: 0.0247 memory: 11089 grad_norm: 4.2604 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5497 loss: 1.5497 2022/08/03 15:34:55 - mmengine - INFO - Epoch(train) [104][1120/1879] lr: 2.0000e-03 eta: 22:05:25 time: 0.9251 data_time: 0.0325 memory: 11089 grad_norm: 4.3244 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6217 loss: 1.6217 2022/08/03 15:35:14 - mmengine - INFO - Epoch(train) [104][1140/1879] lr: 2.0000e-03 eta: 22:05:07 time: 0.9077 data_time: 0.0289 memory: 11089 grad_norm: 4.3391 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5054 loss: 1.5054 2022/08/03 15:35:32 - mmengine - INFO - Epoch(train) [104][1160/1879] lr: 2.0000e-03 eta: 22:04:49 time: 0.9130 data_time: 0.0270 memory: 11089 grad_norm: 4.3223 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4190 loss: 1.4190 2022/08/03 15:35:50 - mmengine - INFO - Epoch(train) [104][1180/1879] lr: 2.0000e-03 eta: 22:04:31 time: 0.9258 data_time: 0.0224 memory: 11089 grad_norm: 4.2987 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3824 loss: 1.3824 2022/08/03 15:36:09 - mmengine - INFO - Epoch(train) [104][1200/1879] lr: 2.0000e-03 eta: 22:04:13 time: 0.9458 data_time: 0.0400 memory: 11089 grad_norm: 4.2930 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5263 loss: 1.5263 2022/08/03 15:36:28 - mmengine - INFO - Epoch(train) [104][1220/1879] lr: 2.0000e-03 eta: 22:03:55 time: 0.9267 data_time: 0.0275 memory: 11089 grad_norm: 4.3794 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4559 loss: 1.4559 2022/08/03 15:36:46 - mmengine - INFO - Epoch(train) [104][1240/1879] lr: 2.0000e-03 eta: 22:03:36 time: 0.9284 data_time: 0.0331 memory: 11089 grad_norm: 4.2562 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3387 loss: 1.3387 2022/08/03 15:37:05 - mmengine - INFO - Epoch(train) [104][1260/1879] lr: 2.0000e-03 eta: 22:03:18 time: 0.9336 data_time: 0.0305 memory: 11089 grad_norm: 4.3358 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3751 loss: 1.3751 2022/08/03 15:37:23 - mmengine - INFO - Epoch(train) [104][1280/1879] lr: 2.0000e-03 eta: 22:03:00 time: 0.9156 data_time: 0.0267 memory: 11089 grad_norm: 4.3703 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3916 loss: 1.3916 2022/08/03 15:37:42 - mmengine - INFO - Epoch(train) [104][1300/1879] lr: 2.0000e-03 eta: 22:02:42 time: 0.9196 data_time: 0.0282 memory: 11089 grad_norm: 4.3678 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7112 loss: 1.7112 2022/08/03 15:38:00 - mmengine - INFO - Epoch(train) [104][1320/1879] lr: 2.0000e-03 eta: 22:02:24 time: 0.9079 data_time: 0.0294 memory: 11089 grad_norm: 4.3497 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4097 loss: 1.4097 2022/08/03 15:38:18 - mmengine - INFO - Epoch(train) [104][1340/1879] lr: 2.0000e-03 eta: 22:02:06 time: 0.9123 data_time: 0.0258 memory: 11089 grad_norm: 4.3498 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5666 loss: 1.5666 2022/08/03 15:38:37 - mmengine - INFO - Epoch(train) [104][1360/1879] lr: 2.0000e-03 eta: 22:01:47 time: 0.9246 data_time: 0.0249 memory: 11089 grad_norm: 4.2668 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2402 loss: 1.2402 2022/08/03 15:38:55 - mmengine - INFO - Epoch(train) [104][1380/1879] lr: 2.0000e-03 eta: 22:01:29 time: 0.9306 data_time: 0.0319 memory: 11089 grad_norm: 4.3624 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4055 loss: 1.4055 2022/08/03 15:39:13 - mmengine - INFO - Epoch(train) [104][1400/1879] lr: 2.0000e-03 eta: 22:01:11 time: 0.8938 data_time: 0.0237 memory: 11089 grad_norm: 4.3597 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2131 loss: 1.2131 2022/08/03 15:39:31 - mmengine - INFO - Epoch(train) [104][1420/1879] lr: 2.0000e-03 eta: 22:00:53 time: 0.9111 data_time: 0.0259 memory: 11089 grad_norm: 4.4068 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4946 loss: 1.4946 2022/08/03 15:39:50 - mmengine - INFO - Epoch(train) [104][1440/1879] lr: 2.0000e-03 eta: 22:00:34 time: 0.9154 data_time: 0.0261 memory: 11089 grad_norm: 4.2936 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3618 loss: 1.3618 2022/08/03 15:40:08 - mmengine - INFO - Epoch(train) [104][1460/1879] lr: 2.0000e-03 eta: 22:00:16 time: 0.9295 data_time: 0.0279 memory: 11089 grad_norm: 4.2610 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4174 loss: 1.4174 2022/08/03 15:40:11 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 15:40:27 - mmengine - INFO - Epoch(train) [104][1480/1879] lr: 2.0000e-03 eta: 21:59:58 time: 0.9456 data_time: 0.0359 memory: 11089 grad_norm: 4.2601 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5870 loss: 1.5870 2022/08/03 15:40:45 - mmengine - INFO - Epoch(train) [104][1500/1879] lr: 2.0000e-03 eta: 21:59:40 time: 0.9032 data_time: 0.0239 memory: 11089 grad_norm: 4.3128 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5389 loss: 1.5389 2022/08/03 15:41:04 - mmengine - INFO - Epoch(train) [104][1520/1879] lr: 2.0000e-03 eta: 21:59:22 time: 0.9351 data_time: 0.0281 memory: 11089 grad_norm: 4.4405 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4454 loss: 1.4454 2022/08/03 15:41:22 - mmengine - INFO - Epoch(train) [104][1540/1879] lr: 2.0000e-03 eta: 21:59:04 time: 0.9014 data_time: 0.0226 memory: 11089 grad_norm: 4.3147 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3449 loss: 1.3449 2022/08/03 15:41:40 - mmengine - INFO - Epoch(train) [104][1560/1879] lr: 2.0000e-03 eta: 21:58:45 time: 0.9109 data_time: 0.0236 memory: 11089 grad_norm: 4.3504 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4852 loss: 1.4852 2022/08/03 15:41:59 - mmengine - INFO - Epoch(train) [104][1580/1879] lr: 2.0000e-03 eta: 21:58:27 time: 0.9163 data_time: 0.0338 memory: 11089 grad_norm: 4.3381 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3952 loss: 1.3952 2022/08/03 15:42:17 - mmengine - INFO - Epoch(train) [104][1600/1879] lr: 2.0000e-03 eta: 21:58:09 time: 0.9162 data_time: 0.0306 memory: 11089 grad_norm: 4.4512 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4951 loss: 1.4951 2022/08/03 15:42:36 - mmengine - INFO - Epoch(train) [104][1620/1879] lr: 2.0000e-03 eta: 21:57:51 time: 0.9428 data_time: 0.0259 memory: 11089 grad_norm: 4.3206 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3633 loss: 1.3633 2022/08/03 15:42:55 - mmengine - INFO - Epoch(train) [104][1640/1879] lr: 2.0000e-03 eta: 21:57:33 time: 0.9383 data_time: 0.0301 memory: 11089 grad_norm: 4.2424 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2918 loss: 1.2918 2022/08/03 15:43:12 - mmengine - INFO - Epoch(train) [104][1660/1879] lr: 2.0000e-03 eta: 21:57:15 time: 0.8946 data_time: 0.0252 memory: 11089 grad_norm: 4.3972 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5003 loss: 1.5003 2022/08/03 15:43:31 - mmengine - INFO - Epoch(train) [104][1680/1879] lr: 2.0000e-03 eta: 21:56:57 time: 0.9280 data_time: 0.0262 memory: 11089 grad_norm: 4.4019 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5201 loss: 1.5201 2022/08/03 15:43:50 - mmengine - INFO - Epoch(train) [104][1700/1879] lr: 2.0000e-03 eta: 21:56:38 time: 0.9238 data_time: 0.0291 memory: 11089 grad_norm: 4.3518 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5563 loss: 1.5563 2022/08/03 15:44:08 - mmengine - INFO - Epoch(train) [104][1720/1879] lr: 2.0000e-03 eta: 21:56:20 time: 0.9176 data_time: 0.0311 memory: 11089 grad_norm: 4.3829 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4974 loss: 1.4974 2022/08/03 15:44:26 - mmengine - INFO - Epoch(train) [104][1740/1879] lr: 2.0000e-03 eta: 21:56:02 time: 0.9205 data_time: 0.0381 memory: 11089 grad_norm: 4.3984 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5374 loss: 1.5374 2022/08/03 15:44:44 - mmengine - INFO - Epoch(train) [104][1760/1879] lr: 2.0000e-03 eta: 21:55:44 time: 0.9050 data_time: 0.0235 memory: 11089 grad_norm: 4.4553 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5497 loss: 1.5497 2022/08/03 15:45:03 - mmengine - INFO - Epoch(train) [104][1780/1879] lr: 2.0000e-03 eta: 21:55:25 time: 0.9084 data_time: 0.0268 memory: 11089 grad_norm: 4.4223 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4212 loss: 1.4212 2022/08/03 15:45:21 - mmengine - INFO - Epoch(train) [104][1800/1879] lr: 2.0000e-03 eta: 21:55:07 time: 0.9133 data_time: 0.0269 memory: 11089 grad_norm: 4.3866 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4135 loss: 1.4135 2022/08/03 15:45:39 - mmengine - INFO - Epoch(train) [104][1820/1879] lr: 2.0000e-03 eta: 21:54:49 time: 0.9233 data_time: 0.0269 memory: 11089 grad_norm: 4.4089 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2141 loss: 1.2141 2022/08/03 15:45:58 - mmengine - INFO - Epoch(train) [104][1840/1879] lr: 2.0000e-03 eta: 21:54:31 time: 0.9131 data_time: 0.0255 memory: 11089 grad_norm: 4.3992 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5043 loss: 1.5043 2022/08/03 15:46:16 - mmengine - INFO - Epoch(train) [104][1860/1879] lr: 2.0000e-03 eta: 21:54:13 time: 0.9224 data_time: 0.0344 memory: 11089 grad_norm: 4.4671 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4332 loss: 1.4332 2022/08/03 15:46:33 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 15:46:33 - mmengine - INFO - Epoch(train) [104][1879/1879] lr: 2.0000e-03 eta: 21:54:13 time: 0.9044 data_time: 0.0309 memory: 11089 grad_norm: 4.3964 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.4507 loss: 1.4507 2022/08/03 15:46:33 - mmengine - INFO - Saving checkpoint at 104 epochs 2022/08/03 15:46:57 - mmengine - INFO - Epoch(train) [105][20/1879] lr: 2.0000e-03 eta: 21:53:31 time: 1.0376 data_time: 0.1253 memory: 11089 grad_norm: 4.3423 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5358 loss: 1.5358 2022/08/03 15:47:15 - mmengine - INFO - Epoch(train) [105][40/1879] lr: 2.0000e-03 eta: 21:53:12 time: 0.9260 data_time: 0.0297 memory: 11089 grad_norm: 4.3445 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.6103 loss: 1.6103 2022/08/03 15:47:33 - mmengine - INFO - Epoch(train) [105][60/1879] lr: 2.0000e-03 eta: 21:52:54 time: 0.9017 data_time: 0.0230 memory: 11089 grad_norm: 4.4454 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4806 loss: 1.4806 2022/08/03 15:47:52 - mmengine - INFO - Epoch(train) [105][80/1879] lr: 2.0000e-03 eta: 21:52:36 time: 0.9437 data_time: 0.0353 memory: 11089 grad_norm: 4.3030 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4657 loss: 1.4657 2022/08/03 15:48:10 - mmengine - INFO - Epoch(train) [105][100/1879] lr: 2.0000e-03 eta: 21:52:18 time: 0.9161 data_time: 0.0273 memory: 11089 grad_norm: 4.3840 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3606 loss: 1.3606 2022/08/03 15:48:29 - mmengine - INFO - Epoch(train) [105][120/1879] lr: 2.0000e-03 eta: 21:52:00 time: 0.9571 data_time: 0.0382 memory: 11089 grad_norm: 4.3465 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4754 loss: 1.4754 2022/08/03 15:48:48 - mmengine - INFO - Epoch(train) [105][140/1879] lr: 2.0000e-03 eta: 21:51:42 time: 0.9382 data_time: 0.0255 memory: 11089 grad_norm: 4.3884 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4614 loss: 1.4614 2022/08/03 15:49:06 - mmengine - INFO - Epoch(train) [105][160/1879] lr: 2.0000e-03 eta: 21:51:24 time: 0.9100 data_time: 0.0314 memory: 11089 grad_norm: 4.3115 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3570 loss: 1.3570 2022/08/03 15:49:25 - mmengine - INFO - Epoch(train) [105][180/1879] lr: 2.0000e-03 eta: 21:51:06 time: 0.9227 data_time: 0.0306 memory: 11089 grad_norm: 4.4041 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4390 loss: 1.4390 2022/08/03 15:49:43 - mmengine - INFO - Epoch(train) [105][200/1879] lr: 2.0000e-03 eta: 21:50:47 time: 0.9088 data_time: 0.0265 memory: 11089 grad_norm: 4.3697 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4568 loss: 1.4568 2022/08/03 15:50:02 - mmengine - INFO - Epoch(train) [105][220/1879] lr: 2.0000e-03 eta: 21:50:30 time: 0.9427 data_time: 0.0327 memory: 11089 grad_norm: 4.3620 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3708 loss: 1.3708 2022/08/03 15:50:21 - mmengine - INFO - Epoch(train) [105][240/1879] lr: 2.0000e-03 eta: 21:50:11 time: 0.9304 data_time: 0.0275 memory: 11089 grad_norm: 4.2578 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3512 loss: 1.3512 2022/08/03 15:50:39 - mmengine - INFO - Epoch(train) [105][260/1879] lr: 2.0000e-03 eta: 21:49:53 time: 0.9337 data_time: 0.0387 memory: 11089 grad_norm: 4.3973 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6494 loss: 1.6494 2022/08/03 15:50:58 - mmengine - INFO - Epoch(train) [105][280/1879] lr: 2.0000e-03 eta: 21:49:35 time: 0.9234 data_time: 0.0275 memory: 11089 grad_norm: 4.4112 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3811 loss: 1.3811 2022/08/03 15:51:16 - mmengine - INFO - Epoch(train) [105][300/1879] lr: 2.0000e-03 eta: 21:49:17 time: 0.9060 data_time: 0.0258 memory: 11089 grad_norm: 4.3440 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4321 loss: 1.4321 2022/08/03 15:51:34 - mmengine - INFO - Epoch(train) [105][320/1879] lr: 2.0000e-03 eta: 21:48:59 time: 0.9169 data_time: 0.0284 memory: 11089 grad_norm: 4.3459 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4675 loss: 1.4675 2022/08/03 15:51:52 - mmengine - INFO - Epoch(train) [105][340/1879] lr: 2.0000e-03 eta: 21:48:41 time: 0.9150 data_time: 0.0286 memory: 11089 grad_norm: 4.3373 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4935 loss: 1.4935 2022/08/03 15:52:11 - mmengine - INFO - Epoch(train) [105][360/1879] lr: 2.0000e-03 eta: 21:48:22 time: 0.9204 data_time: 0.0323 memory: 11089 grad_norm: 4.4021 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3904 loss: 1.3904 2022/08/03 15:52:29 - mmengine - INFO - Epoch(train) [105][380/1879] lr: 2.0000e-03 eta: 21:48:04 time: 0.9010 data_time: 0.0347 memory: 11089 grad_norm: 4.3014 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2704 loss: 1.2704 2022/08/03 15:52:47 - mmengine - INFO - Epoch(train) [105][400/1879] lr: 2.0000e-03 eta: 21:47:46 time: 0.9219 data_time: 0.0307 memory: 11089 grad_norm: 4.3683 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3609 loss: 1.3609 2022/08/03 15:53:06 - mmengine - INFO - Epoch(train) [105][420/1879] lr: 2.0000e-03 eta: 21:47:28 time: 0.9115 data_time: 0.0277 memory: 11089 grad_norm: 4.3357 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3012 loss: 1.3012 2022/08/03 15:53:24 - mmengine - INFO - Epoch(train) [105][440/1879] lr: 2.0000e-03 eta: 21:47:09 time: 0.9096 data_time: 0.0289 memory: 11089 grad_norm: 4.3193 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2784 loss: 1.2784 2022/08/03 15:53:42 - mmengine - INFO - Epoch(train) [105][460/1879] lr: 2.0000e-03 eta: 21:46:51 time: 0.9082 data_time: 0.0262 memory: 11089 grad_norm: 4.3551 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.3421 loss: 1.3421 2022/08/03 15:54:00 - mmengine - INFO - Epoch(train) [105][480/1879] lr: 2.0000e-03 eta: 21:46:33 time: 0.8997 data_time: 0.0231 memory: 11089 grad_norm: 4.3285 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2883 loss: 1.2883 2022/08/03 15:54:19 - mmengine - INFO - Epoch(train) [105][500/1879] lr: 2.0000e-03 eta: 21:46:15 time: 0.9399 data_time: 0.0380 memory: 11089 grad_norm: 4.2807 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4943 loss: 1.4943 2022/08/03 15:54:38 - mmengine - INFO - Epoch(train) [105][520/1879] lr: 2.0000e-03 eta: 21:45:57 time: 0.9437 data_time: 0.0364 memory: 11089 grad_norm: 4.3638 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5531 loss: 1.5531 2022/08/03 15:54:56 - mmengine - INFO - Epoch(train) [105][540/1879] lr: 2.0000e-03 eta: 21:45:39 time: 0.9099 data_time: 0.0249 memory: 11089 grad_norm: 4.3148 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3784 loss: 1.3784 2022/08/03 15:55:14 - mmengine - INFO - Epoch(train) [105][560/1879] lr: 2.0000e-03 eta: 21:45:20 time: 0.8999 data_time: 0.0264 memory: 11089 grad_norm: 4.3945 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6990 loss: 1.6990 2022/08/03 15:55:32 - mmengine - INFO - Epoch(train) [105][580/1879] lr: 2.0000e-03 eta: 21:45:02 time: 0.9114 data_time: 0.0215 memory: 11089 grad_norm: 4.4866 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5035 loss: 1.5035 2022/08/03 15:55:36 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 15:55:51 - mmengine - INFO - Epoch(train) [105][600/1879] lr: 2.0000e-03 eta: 21:44:44 time: 0.9248 data_time: 0.0275 memory: 11089 grad_norm: 4.2865 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4816 loss: 1.4816 2022/08/03 15:56:09 - mmengine - INFO - Epoch(train) [105][620/1879] lr: 2.0000e-03 eta: 21:44:26 time: 0.9314 data_time: 0.0297 memory: 11089 grad_norm: 4.3792 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2782 loss: 1.2782 2022/08/03 15:56:28 - mmengine - INFO - Epoch(train) [105][640/1879] lr: 2.0000e-03 eta: 21:44:08 time: 0.9595 data_time: 0.0323 memory: 11089 grad_norm: 4.4421 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3141 loss: 1.3141 2022/08/03 15:56:47 - mmengine - INFO - Epoch(train) [105][660/1879] lr: 2.0000e-03 eta: 21:43:50 time: 0.9555 data_time: 0.0262 memory: 11089 grad_norm: 4.3887 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5335 loss: 1.5335 2022/08/03 15:57:07 - mmengine - INFO - Epoch(train) [105][680/1879] lr: 2.0000e-03 eta: 21:43:32 time: 0.9510 data_time: 0.0311 memory: 11089 grad_norm: 4.3926 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4280 loss: 1.4280 2022/08/03 15:57:25 - mmengine - INFO - Epoch(train) [105][700/1879] lr: 2.0000e-03 eta: 21:43:14 time: 0.9063 data_time: 0.0241 memory: 11089 grad_norm: 4.4845 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5681 loss: 1.5681 2022/08/03 15:57:43 - mmengine - INFO - Epoch(train) [105][720/1879] lr: 2.0000e-03 eta: 21:42:56 time: 0.9257 data_time: 0.0262 memory: 11089 grad_norm: 4.4561 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3710 loss: 1.3710 2022/08/03 15:58:01 - mmengine - INFO - Epoch(train) [105][740/1879] lr: 2.0000e-03 eta: 21:42:37 time: 0.9098 data_time: 0.0255 memory: 11089 grad_norm: 4.4924 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5290 loss: 1.5290 2022/08/03 15:58:20 - mmengine - INFO - Epoch(train) [105][760/1879] lr: 2.0000e-03 eta: 21:42:19 time: 0.9307 data_time: 0.0262 memory: 11089 grad_norm: 4.3979 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4537 loss: 1.4537 2022/08/03 15:58:38 - mmengine - INFO - Epoch(train) [105][780/1879] lr: 2.0000e-03 eta: 21:42:01 time: 0.9166 data_time: 0.0241 memory: 11089 grad_norm: 4.4605 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5424 loss: 1.5424 2022/08/03 15:58:57 - mmengine - INFO - Epoch(train) [105][800/1879] lr: 2.0000e-03 eta: 21:41:43 time: 0.9239 data_time: 0.0347 memory: 11089 grad_norm: 4.4347 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.4265 loss: 1.4265 2022/08/03 15:59:16 - mmengine - INFO - Epoch(train) [105][820/1879] lr: 2.0000e-03 eta: 21:41:25 time: 0.9413 data_time: 0.0293 memory: 11089 grad_norm: 4.2956 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5094 loss: 1.5094 2022/08/03 15:59:34 - mmengine - INFO - Epoch(train) [105][840/1879] lr: 2.0000e-03 eta: 21:41:07 time: 0.9089 data_time: 0.0304 memory: 11089 grad_norm: 4.3780 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4671 loss: 1.4671 2022/08/03 15:59:52 - mmengine - INFO - Epoch(train) [105][860/1879] lr: 2.0000e-03 eta: 21:40:49 time: 0.9206 data_time: 0.0254 memory: 11089 grad_norm: 4.4333 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5411 loss: 1.5411 2022/08/03 16:00:11 - mmengine - INFO - Epoch(train) [105][880/1879] lr: 2.0000e-03 eta: 21:40:30 time: 0.9174 data_time: 0.0256 memory: 11089 grad_norm: 4.2938 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5117 loss: 1.5117 2022/08/03 16:00:29 - mmengine - INFO - Epoch(train) [105][900/1879] lr: 2.0000e-03 eta: 21:40:12 time: 0.9139 data_time: 0.0276 memory: 11089 grad_norm: 4.3400 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5104 loss: 1.5104 2022/08/03 16:00:47 - mmengine - INFO - Epoch(train) [105][920/1879] lr: 2.0000e-03 eta: 21:39:54 time: 0.9263 data_time: 0.0256 memory: 11089 grad_norm: 4.3804 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4849 loss: 1.4849 2022/08/03 16:01:06 - mmengine - INFO - Epoch(train) [105][940/1879] lr: 2.0000e-03 eta: 21:39:36 time: 0.9281 data_time: 0.0326 memory: 11089 grad_norm: 4.3196 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3212 loss: 1.3212 2022/08/03 16:01:24 - mmengine - INFO - Epoch(train) [105][960/1879] lr: 2.0000e-03 eta: 21:39:18 time: 0.9119 data_time: 0.0242 memory: 11089 grad_norm: 4.3451 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4139 loss: 1.4139 2022/08/03 16:01:42 - mmengine - INFO - Epoch(train) [105][980/1879] lr: 2.0000e-03 eta: 21:38:59 time: 0.9056 data_time: 0.0314 memory: 11089 grad_norm: 4.4363 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3390 loss: 1.3390 2022/08/03 16:02:01 - mmengine - INFO - Epoch(train) [105][1000/1879] lr: 2.0000e-03 eta: 21:38:41 time: 0.9388 data_time: 0.0330 memory: 11089 grad_norm: 4.3239 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3415 loss: 1.3415 2022/08/03 16:02:20 - mmengine - INFO - Epoch(train) [105][1020/1879] lr: 2.0000e-03 eta: 21:38:23 time: 0.9238 data_time: 0.0256 memory: 11089 grad_norm: 4.3518 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3147 loss: 1.3147 2022/08/03 16:02:38 - mmengine - INFO - Epoch(train) [105][1040/1879] lr: 2.0000e-03 eta: 21:38:05 time: 0.9189 data_time: 0.0262 memory: 11089 grad_norm: 4.2491 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1771 loss: 1.1771 2022/08/03 16:02:57 - mmengine - INFO - Epoch(train) [105][1060/1879] lr: 2.0000e-03 eta: 21:37:47 time: 0.9434 data_time: 0.0350 memory: 11089 grad_norm: 4.5311 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5747 loss: 1.5747 2022/08/03 16:03:15 - mmengine - INFO - Epoch(train) [105][1080/1879] lr: 2.0000e-03 eta: 21:37:29 time: 0.9200 data_time: 0.0259 memory: 11089 grad_norm: 4.4834 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1245 loss: 1.1245 2022/08/03 16:03:34 - mmengine - INFO - Epoch(train) [105][1100/1879] lr: 2.0000e-03 eta: 21:37:11 time: 0.9208 data_time: 0.0334 memory: 11089 grad_norm: 4.3592 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3745 loss: 1.3745 2022/08/03 16:03:52 - mmengine - INFO - Epoch(train) [105][1120/1879] lr: 2.0000e-03 eta: 21:36:53 time: 0.9130 data_time: 0.0241 memory: 11089 grad_norm: 4.2992 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2668 loss: 1.2668 2022/08/03 16:04:10 - mmengine - INFO - Epoch(train) [105][1140/1879] lr: 2.0000e-03 eta: 21:36:34 time: 0.9009 data_time: 0.0249 memory: 11089 grad_norm: 4.2588 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6061 loss: 1.6061 2022/08/03 16:04:29 - mmengine - INFO - Epoch(train) [105][1160/1879] lr: 2.0000e-03 eta: 21:36:16 time: 0.9537 data_time: 0.0320 memory: 11089 grad_norm: 4.3570 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4690 loss: 1.4690 2022/08/03 16:04:47 - mmengine - INFO - Epoch(train) [105][1180/1879] lr: 2.0000e-03 eta: 21:35:58 time: 0.9098 data_time: 0.0228 memory: 11089 grad_norm: 4.3233 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5509 loss: 1.5509 2022/08/03 16:05:06 - mmengine - INFO - Epoch(train) [105][1200/1879] lr: 2.0000e-03 eta: 21:35:40 time: 0.9519 data_time: 0.0306 memory: 11089 grad_norm: 4.3613 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3949 loss: 1.3949 2022/08/03 16:05:24 - mmengine - INFO - Epoch(train) [105][1220/1879] lr: 2.0000e-03 eta: 21:35:22 time: 0.9024 data_time: 0.0297 memory: 11089 grad_norm: 4.5142 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4726 loss: 1.4726 2022/08/03 16:05:43 - mmengine - INFO - Epoch(train) [105][1240/1879] lr: 2.0000e-03 eta: 21:35:04 time: 0.9312 data_time: 0.0299 memory: 11089 grad_norm: 4.5327 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4986 loss: 1.4986 2022/08/03 16:06:02 - mmengine - INFO - Epoch(train) [105][1260/1879] lr: 2.0000e-03 eta: 21:34:46 time: 0.9280 data_time: 0.0299 memory: 11089 grad_norm: 4.4407 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4411 loss: 1.4411 2022/08/03 16:06:20 - mmengine - INFO - Epoch(train) [105][1280/1879] lr: 2.0000e-03 eta: 21:34:28 time: 0.9253 data_time: 0.0303 memory: 11089 grad_norm: 4.3031 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6217 loss: 1.6217 2022/08/03 16:06:39 - mmengine - INFO - Epoch(train) [105][1300/1879] lr: 2.0000e-03 eta: 21:34:09 time: 0.9270 data_time: 0.0288 memory: 11089 grad_norm: 4.4982 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3832 loss: 1.3832 2022/08/03 16:06:57 - mmengine - INFO - Epoch(train) [105][1320/1879] lr: 2.0000e-03 eta: 21:33:51 time: 0.8949 data_time: 0.0266 memory: 11089 grad_norm: 4.3104 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2167 loss: 1.2167 2022/08/03 16:07:15 - mmengine - INFO - Epoch(train) [105][1340/1879] lr: 2.0000e-03 eta: 21:33:33 time: 0.9127 data_time: 0.0249 memory: 11089 grad_norm: 4.4226 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4971 loss: 1.4971 2022/08/03 16:07:33 - mmengine - INFO - Epoch(train) [105][1360/1879] lr: 2.0000e-03 eta: 21:33:14 time: 0.9029 data_time: 0.0288 memory: 11089 grad_norm: 4.4189 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4796 loss: 1.4796 2022/08/03 16:07:51 - mmengine - INFO - Epoch(train) [105][1380/1879] lr: 2.0000e-03 eta: 21:32:56 time: 0.9191 data_time: 0.0256 memory: 11089 grad_norm: 4.4917 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4521 loss: 1.4521 2022/08/03 16:08:10 - mmengine - INFO - Epoch(train) [105][1400/1879] lr: 2.0000e-03 eta: 21:32:38 time: 0.9320 data_time: 0.0271 memory: 11089 grad_norm: 4.3717 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4894 loss: 1.4894 2022/08/03 16:08:28 - mmengine - INFO - Epoch(train) [105][1420/1879] lr: 2.0000e-03 eta: 21:32:20 time: 0.9144 data_time: 0.0270 memory: 11089 grad_norm: 4.3441 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4366 loss: 1.4366 2022/08/03 16:08:46 - mmengine - INFO - Epoch(train) [105][1440/1879] lr: 2.0000e-03 eta: 21:32:02 time: 0.9007 data_time: 0.0283 memory: 11089 grad_norm: 4.4246 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3025 loss: 1.3025 2022/08/03 16:09:05 - mmengine - INFO - Epoch(train) [105][1460/1879] lr: 2.0000e-03 eta: 21:31:44 time: 0.9187 data_time: 0.0225 memory: 11089 grad_norm: 4.3158 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3818 loss: 1.3818 2022/08/03 16:09:23 - mmengine - INFO - Epoch(train) [105][1480/1879] lr: 2.0000e-03 eta: 21:31:25 time: 0.9213 data_time: 0.0284 memory: 11089 grad_norm: 4.3381 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2954 loss: 1.2954 2022/08/03 16:09:42 - mmengine - INFO - Epoch(train) [105][1500/1879] lr: 2.0000e-03 eta: 21:31:07 time: 0.9302 data_time: 0.0349 memory: 11089 grad_norm: 4.4304 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4085 loss: 1.4085 2022/08/03 16:10:00 - mmengine - INFO - Epoch(train) [105][1520/1879] lr: 2.0000e-03 eta: 21:30:49 time: 0.9124 data_time: 0.0283 memory: 11089 grad_norm: 4.2936 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3857 loss: 1.3857 2022/08/03 16:10:18 - mmengine - INFO - Epoch(train) [105][1540/1879] lr: 2.0000e-03 eta: 21:30:31 time: 0.8969 data_time: 0.0190 memory: 11089 grad_norm: 4.5232 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4299 loss: 1.4299 2022/08/03 16:10:36 - mmengine - INFO - Epoch(train) [105][1560/1879] lr: 2.0000e-03 eta: 21:30:12 time: 0.9029 data_time: 0.0263 memory: 11089 grad_norm: 4.4455 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3285 loss: 1.3285 2022/08/03 16:10:54 - mmengine - INFO - Epoch(train) [105][1580/1879] lr: 2.0000e-03 eta: 21:29:54 time: 0.9096 data_time: 0.0286 memory: 11089 grad_norm: 4.3727 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5295 loss: 1.5295 2022/08/03 16:10:58 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 16:11:13 - mmengine - INFO - Epoch(train) [105][1600/1879] lr: 2.0000e-03 eta: 21:29:36 time: 0.9302 data_time: 0.0273 memory: 11089 grad_norm: 4.4500 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4075 loss: 1.4075 2022/08/03 16:11:31 - mmengine - INFO - Epoch(train) [105][1620/1879] lr: 2.0000e-03 eta: 21:29:18 time: 0.9231 data_time: 0.0331 memory: 11089 grad_norm: 4.4172 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3426 loss: 1.3426 2022/08/03 16:11:50 - mmengine - INFO - Epoch(train) [105][1640/1879] lr: 2.0000e-03 eta: 21:29:00 time: 0.9291 data_time: 0.0299 memory: 11089 grad_norm: 4.4270 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4468 loss: 1.4468 2022/08/03 16:12:08 - mmengine - INFO - Epoch(train) [105][1660/1879] lr: 2.0000e-03 eta: 21:28:42 time: 0.9253 data_time: 0.0294 memory: 11089 grad_norm: 4.2685 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2525 loss: 1.2525 2022/08/03 16:12:27 - mmengine - INFO - Epoch(train) [105][1680/1879] lr: 2.0000e-03 eta: 21:28:24 time: 0.9471 data_time: 0.0346 memory: 11089 grad_norm: 4.4064 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4126 loss: 1.4126 2022/08/03 16:12:45 - mmengine - INFO - Epoch(train) [105][1700/1879] lr: 2.0000e-03 eta: 21:28:05 time: 0.9080 data_time: 0.0239 memory: 11089 grad_norm: 4.3183 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3384 loss: 1.3384 2022/08/03 16:13:04 - mmengine - INFO - Epoch(train) [105][1720/1879] lr: 2.0000e-03 eta: 21:27:47 time: 0.9355 data_time: 0.0285 memory: 11089 grad_norm: 4.3567 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5609 loss: 1.5609 2022/08/03 16:13:23 - mmengine - INFO - Epoch(train) [105][1740/1879] lr: 2.0000e-03 eta: 21:27:29 time: 0.9401 data_time: 0.0273 memory: 11089 grad_norm: 4.4535 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4540 loss: 1.4540 2022/08/03 16:13:41 - mmengine - INFO - Epoch(train) [105][1760/1879] lr: 2.0000e-03 eta: 21:27:11 time: 0.9286 data_time: 0.0273 memory: 11089 grad_norm: 4.3974 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4661 loss: 1.4661 2022/08/03 16:14:00 - mmengine - INFO - Epoch(train) [105][1780/1879] lr: 2.0000e-03 eta: 21:26:53 time: 0.9039 data_time: 0.0292 memory: 11089 grad_norm: 4.4299 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4163 loss: 1.4163 2022/08/03 16:14:18 - mmengine - INFO - Epoch(train) [105][1800/1879] lr: 2.0000e-03 eta: 21:26:35 time: 0.9318 data_time: 0.0282 memory: 11089 grad_norm: 4.4783 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6113 loss: 1.6113 2022/08/03 16:14:36 - mmengine - INFO - Epoch(train) [105][1820/1879] lr: 2.0000e-03 eta: 21:26:17 time: 0.9050 data_time: 0.0255 memory: 11089 grad_norm: 4.3526 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4079 loss: 1.4079 2022/08/03 16:14:55 - mmengine - INFO - Epoch(train) [105][1840/1879] lr: 2.0000e-03 eta: 21:25:58 time: 0.9181 data_time: 0.0343 memory: 11089 grad_norm: 4.3463 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4288 loss: 1.4288 2022/08/03 16:15:13 - mmengine - INFO - Epoch(train) [105][1860/1879] lr: 2.0000e-03 eta: 21:25:40 time: 0.9157 data_time: 0.0254 memory: 11089 grad_norm: 4.3609 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5204 loss: 1.5204 2022/08/03 16:15:30 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 16:15:30 - mmengine - INFO - Epoch(train) [105][1879/1879] lr: 2.0000e-03 eta: 21:25:40 time: 0.9018 data_time: 0.0225 memory: 11089 grad_norm: 4.4584 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.2716 loss: 1.2716 2022/08/03 16:15:39 - mmengine - INFO - Epoch(val) [105][20/155] eta: 0:00:59 time: 0.4444 data_time: 0.1301 memory: 1950 2022/08/03 16:15:46 - mmengine - INFO - Epoch(val) [105][40/155] eta: 0:00:37 time: 0.3240 data_time: 0.0118 memory: 1950 2022/08/03 16:15:52 - mmengine - INFO - Epoch(val) [105][60/155] eta: 0:00:31 time: 0.3308 data_time: 0.0135 memory: 1950 2022/08/03 16:15:59 - mmengine - INFO - Epoch(val) [105][80/155] eta: 0:00:24 time: 0.3327 data_time: 0.0128 memory: 1950 2022/08/03 16:16:06 - mmengine - INFO - Epoch(val) [105][100/155] eta: 0:00:18 time: 0.3306 data_time: 0.0128 memory: 1950 2022/08/03 16:16:12 - mmengine - INFO - Epoch(val) [105][120/155] eta: 0:00:11 time: 0.3296 data_time: 0.0122 memory: 1950 2022/08/03 16:16:20 - mmengine - INFO - Epoch(val) [105][140/155] eta: 0:00:05 time: 0.3921 data_time: 0.0100 memory: 1950 2022/08/03 16:16:27 - mmengine - INFO - Epoch(val) [105][155/155] acc/top1: 0.6832 acc/top5: 0.8760 acc/mean1: 0.6831 2022/08/03 16:16:27 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb/best_acc/top1_epoch_41.pth is removed 2022/08/03 16:16:29 - mmengine - INFO - The best checkpoint with 0.6832 acc/top1 at 106 epoch is saved to best_acc/top1_epoch_106.pth. 2022/08/03 16:16:50 - mmengine - INFO - Epoch(train) [106][20/1879] lr: 2.0000e-03 eta: 21:24:58 time: 1.0263 data_time: 0.1203 memory: 11089 grad_norm: 4.4457 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5956 loss: 1.5956 2022/08/03 16:17:08 - mmengine - INFO - Epoch(train) [106][40/1879] lr: 2.0000e-03 eta: 21:24:40 time: 0.9245 data_time: 0.0232 memory: 11089 grad_norm: 4.3718 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5826 loss: 1.5826 2022/08/03 16:17:27 - mmengine - INFO - Epoch(train) [106][60/1879] lr: 2.0000e-03 eta: 21:24:22 time: 0.9176 data_time: 0.0325 memory: 11089 grad_norm: 4.2725 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4386 loss: 1.4386 2022/08/03 16:17:45 - mmengine - INFO - Epoch(train) [106][80/1879] lr: 2.0000e-03 eta: 21:24:04 time: 0.9189 data_time: 0.0270 memory: 11089 grad_norm: 4.2547 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3797 loss: 1.3797 2022/08/03 16:18:04 - mmengine - INFO - Epoch(train) [106][100/1879] lr: 2.0000e-03 eta: 21:23:46 time: 0.9545 data_time: 0.0355 memory: 11089 grad_norm: 4.4422 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4497 loss: 1.4497 2022/08/03 16:18:22 - mmengine - INFO - Epoch(train) [106][120/1879] lr: 2.0000e-03 eta: 21:23:27 time: 0.9106 data_time: 0.0303 memory: 11089 grad_norm: 4.4806 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.5567 loss: 1.5567 2022/08/03 16:18:41 - mmengine - INFO - Epoch(train) [106][140/1879] lr: 2.0000e-03 eta: 21:23:09 time: 0.9265 data_time: 0.0247 memory: 11089 grad_norm: 4.4272 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4808 loss: 1.4808 2022/08/03 16:19:00 - mmengine - INFO - Epoch(train) [106][160/1879] lr: 2.0000e-03 eta: 21:22:51 time: 0.9382 data_time: 0.0430 memory: 11089 grad_norm: 4.2647 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4914 loss: 1.4914 2022/08/03 16:19:18 - mmengine - INFO - Epoch(train) [106][180/1879] lr: 2.0000e-03 eta: 21:22:33 time: 0.9248 data_time: 0.0260 memory: 11089 grad_norm: 4.3331 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5264 loss: 1.5264 2022/08/03 16:19:36 - mmengine - INFO - Epoch(train) [106][200/1879] lr: 2.0000e-03 eta: 21:22:15 time: 0.9062 data_time: 0.0241 memory: 11089 grad_norm: 4.3214 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1647 loss: 1.1647 2022/08/03 16:19:54 - mmengine - INFO - Epoch(train) [106][220/1879] lr: 2.0000e-03 eta: 21:21:57 time: 0.9095 data_time: 0.0200 memory: 11089 grad_norm: 4.3482 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4131 loss: 1.4131 2022/08/03 16:20:13 - mmengine - INFO - Epoch(train) [106][240/1879] lr: 2.0000e-03 eta: 21:21:39 time: 0.9229 data_time: 0.0265 memory: 11089 grad_norm: 4.3846 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2961 loss: 1.2961 2022/08/03 16:20:31 - mmengine - INFO - Epoch(train) [106][260/1879] lr: 2.0000e-03 eta: 21:21:20 time: 0.9186 data_time: 0.0233 memory: 11089 grad_norm: 4.4392 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3171 loss: 1.3171 2022/08/03 16:20:50 - mmengine - INFO - Epoch(train) [106][280/1879] lr: 2.0000e-03 eta: 21:21:02 time: 0.9290 data_time: 0.0307 memory: 11089 grad_norm: 4.4115 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6159 loss: 1.6159 2022/08/03 16:21:08 - mmengine - INFO - Epoch(train) [106][300/1879] lr: 2.0000e-03 eta: 21:20:44 time: 0.9146 data_time: 0.0323 memory: 11089 grad_norm: 4.4587 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3161 loss: 1.3161 2022/08/03 16:21:26 - mmengine - INFO - Epoch(train) [106][320/1879] lr: 2.0000e-03 eta: 21:20:26 time: 0.9127 data_time: 0.0258 memory: 11089 grad_norm: 4.4873 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5607 loss: 1.5607 2022/08/03 16:21:45 - mmengine - INFO - Epoch(train) [106][340/1879] lr: 2.0000e-03 eta: 21:20:08 time: 0.9183 data_time: 0.0268 memory: 11089 grad_norm: 4.2822 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3043 loss: 1.3043 2022/08/03 16:22:03 - mmengine - INFO - Epoch(train) [106][360/1879] lr: 2.0000e-03 eta: 21:19:49 time: 0.9266 data_time: 0.0318 memory: 11089 grad_norm: 4.3167 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2580 loss: 1.2580 2022/08/03 16:22:21 - mmengine - INFO - Epoch(train) [106][380/1879] lr: 2.0000e-03 eta: 21:19:31 time: 0.9104 data_time: 0.0325 memory: 11089 grad_norm: 4.4756 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3444 loss: 1.3444 2022/08/03 16:22:40 - mmengine - INFO - Epoch(train) [106][400/1879] lr: 2.0000e-03 eta: 21:19:13 time: 0.9361 data_time: 0.0267 memory: 11089 grad_norm: 4.4105 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4681 loss: 1.4681 2022/08/03 16:22:58 - mmengine - INFO - Epoch(train) [106][420/1879] lr: 2.0000e-03 eta: 21:18:55 time: 0.9099 data_time: 0.0252 memory: 11089 grad_norm: 4.6126 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4761 loss: 1.4761 2022/08/03 16:23:17 - mmengine - INFO - Epoch(train) [106][440/1879] lr: 2.0000e-03 eta: 21:18:37 time: 0.9261 data_time: 0.0228 memory: 11089 grad_norm: 4.4308 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2341 loss: 1.2341 2022/08/03 16:23:35 - mmengine - INFO - Epoch(train) [106][460/1879] lr: 2.0000e-03 eta: 21:18:19 time: 0.9270 data_time: 0.0320 memory: 11089 grad_norm: 4.3467 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4198 loss: 1.4198 2022/08/03 16:23:54 - mmengine - INFO - Epoch(train) [106][480/1879] lr: 2.0000e-03 eta: 21:18:00 time: 0.9124 data_time: 0.0272 memory: 11089 grad_norm: 4.3434 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3404 loss: 1.3404 2022/08/03 16:24:12 - mmengine - INFO - Epoch(train) [106][500/1879] lr: 2.0000e-03 eta: 21:17:42 time: 0.9216 data_time: 0.0233 memory: 11089 grad_norm: 4.2928 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3444 loss: 1.3444 2022/08/03 16:24:30 - mmengine - INFO - Epoch(train) [106][520/1879] lr: 2.0000e-03 eta: 21:17:24 time: 0.9152 data_time: 0.0336 memory: 11089 grad_norm: 4.4553 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4502 loss: 1.4502 2022/08/03 16:24:49 - mmengine - INFO - Epoch(train) [106][540/1879] lr: 2.0000e-03 eta: 21:17:06 time: 0.9125 data_time: 0.0242 memory: 11089 grad_norm: 4.4972 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4314 loss: 1.4314 2022/08/03 16:25:06 - mmengine - INFO - Epoch(train) [106][560/1879] lr: 2.0000e-03 eta: 21:16:47 time: 0.8857 data_time: 0.0249 memory: 11089 grad_norm: 4.3963 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4589 loss: 1.4589 2022/08/03 16:25:25 - mmengine - INFO - Epoch(train) [106][580/1879] lr: 2.0000e-03 eta: 21:16:29 time: 0.9370 data_time: 0.0347 memory: 11089 grad_norm: 4.3597 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3585 loss: 1.3585 2022/08/03 16:25:44 - mmengine - INFO - Epoch(train) [106][600/1879] lr: 2.0000e-03 eta: 21:16:11 time: 0.9217 data_time: 0.0218 memory: 11089 grad_norm: 4.4083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5355 loss: 1.5355 2022/08/03 16:26:02 - mmengine - INFO - Epoch(train) [106][620/1879] lr: 2.0000e-03 eta: 21:15:53 time: 0.9159 data_time: 0.0261 memory: 11089 grad_norm: 4.3812 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3765 loss: 1.3765 2022/08/03 16:26:20 - mmengine - INFO - Epoch(train) [106][640/1879] lr: 2.0000e-03 eta: 21:15:35 time: 0.9233 data_time: 0.0245 memory: 11089 grad_norm: 4.4692 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4747 loss: 1.4747 2022/08/03 16:26:39 - mmengine - INFO - Epoch(train) [106][660/1879] lr: 2.0000e-03 eta: 21:15:17 time: 0.9378 data_time: 0.0261 memory: 11089 grad_norm: 4.4933 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3575 loss: 1.3575 2022/08/03 16:26:58 - mmengine - INFO - Epoch(train) [106][680/1879] lr: 2.0000e-03 eta: 21:14:59 time: 0.9198 data_time: 0.0360 memory: 11089 grad_norm: 4.3598 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3173 loss: 1.3173 2022/08/03 16:27:16 - mmengine - INFO - Epoch(train) [106][700/1879] lr: 2.0000e-03 eta: 21:14:41 time: 0.9307 data_time: 0.0388 memory: 11089 grad_norm: 4.3740 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4575 loss: 1.4575 2022/08/03 16:27:21 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 16:27:35 - mmengine - INFO - Epoch(train) [106][720/1879] lr: 2.0000e-03 eta: 21:14:22 time: 0.9167 data_time: 0.0265 memory: 11089 grad_norm: 4.4500 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.3375 loss: 1.3375 2022/08/03 16:27:53 - mmengine - INFO - Epoch(train) [106][740/1879] lr: 2.0000e-03 eta: 21:14:04 time: 0.9273 data_time: 0.0285 memory: 11089 grad_norm: 4.4907 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4912 loss: 1.4912 2022/08/03 16:28:11 - mmengine - INFO - Epoch(train) [106][760/1879] lr: 2.0000e-03 eta: 21:13:46 time: 0.9201 data_time: 0.0272 memory: 11089 grad_norm: 4.4615 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5720 loss: 1.5720 2022/08/03 16:28:30 - mmengine - INFO - Epoch(train) [106][780/1879] lr: 2.0000e-03 eta: 21:13:28 time: 0.9094 data_time: 0.0268 memory: 11089 grad_norm: 4.4942 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3292 loss: 1.3292 2022/08/03 16:28:48 - mmengine - INFO - Epoch(train) [106][800/1879] lr: 2.0000e-03 eta: 21:13:10 time: 0.9383 data_time: 0.0360 memory: 11089 grad_norm: 4.3914 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3937 loss: 1.3937 2022/08/03 16:29:07 - mmengine - INFO - Epoch(train) [106][820/1879] lr: 2.0000e-03 eta: 21:12:51 time: 0.9046 data_time: 0.0262 memory: 11089 grad_norm: 4.4624 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4863 loss: 1.4863 2022/08/03 16:29:25 - mmengine - INFO - Epoch(train) [106][840/1879] lr: 2.0000e-03 eta: 21:12:33 time: 0.9119 data_time: 0.0270 memory: 11089 grad_norm: 4.5847 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4657 loss: 1.4657 2022/08/03 16:29:43 - mmengine - INFO - Epoch(train) [106][860/1879] lr: 2.0000e-03 eta: 21:12:15 time: 0.9336 data_time: 0.0262 memory: 11089 grad_norm: 4.3054 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3921 loss: 1.3921 2022/08/03 16:30:02 - mmengine - INFO - Epoch(train) [106][880/1879] lr: 2.0000e-03 eta: 21:11:57 time: 0.9438 data_time: 0.0322 memory: 11089 grad_norm: 4.3274 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5072 loss: 1.5072 2022/08/03 16:30:21 - mmengine - INFO - Epoch(train) [106][900/1879] lr: 2.0000e-03 eta: 21:11:39 time: 0.9186 data_time: 0.0312 memory: 11089 grad_norm: 4.4256 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4753 loss: 1.4753 2022/08/03 16:30:39 - mmengine - INFO - Epoch(train) [106][920/1879] lr: 2.0000e-03 eta: 21:11:21 time: 0.9215 data_time: 0.0328 memory: 11089 grad_norm: 4.4118 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3064 loss: 1.3064 2022/08/03 16:30:57 - mmengine - INFO - Epoch(train) [106][940/1879] lr: 2.0000e-03 eta: 21:11:03 time: 0.9153 data_time: 0.0267 memory: 11089 grad_norm: 4.3961 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4491 loss: 1.4491 2022/08/03 16:31:16 - mmengine - INFO - Epoch(train) [106][960/1879] lr: 2.0000e-03 eta: 21:10:44 time: 0.9141 data_time: 0.0295 memory: 11089 grad_norm: 4.4733 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2621 loss: 1.2621 2022/08/03 16:31:34 - mmengine - INFO - Epoch(train) [106][980/1879] lr: 2.0000e-03 eta: 21:10:26 time: 0.9282 data_time: 0.0254 memory: 11089 grad_norm: 4.4914 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5723 loss: 1.5723 2022/08/03 16:31:53 - mmengine - INFO - Epoch(train) [106][1000/1879] lr: 2.0000e-03 eta: 21:10:08 time: 0.9123 data_time: 0.0358 memory: 11089 grad_norm: 4.5267 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4576 loss: 1.4576 2022/08/03 16:32:11 - mmengine - INFO - Epoch(train) [106][1020/1879] lr: 2.0000e-03 eta: 21:09:50 time: 0.9098 data_time: 0.0320 memory: 11089 grad_norm: 4.4397 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3768 loss: 1.3768 2022/08/03 16:32:29 - mmengine - INFO - Epoch(train) [106][1040/1879] lr: 2.0000e-03 eta: 21:09:32 time: 0.9309 data_time: 0.0290 memory: 11089 grad_norm: 4.4675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4317 loss: 1.4317 2022/08/03 16:32:47 - mmengine - INFO - Epoch(train) [106][1060/1879] lr: 2.0000e-03 eta: 21:09:13 time: 0.8998 data_time: 0.0226 memory: 11089 grad_norm: 4.4596 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3673 loss: 1.3673 2022/08/03 16:33:06 - mmengine - INFO - Epoch(train) [106][1080/1879] lr: 2.0000e-03 eta: 21:08:55 time: 0.9201 data_time: 0.0249 memory: 11089 grad_norm: 4.4158 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1762 loss: 1.1762 2022/08/03 16:33:24 - mmengine - INFO - Epoch(train) [106][1100/1879] lr: 2.0000e-03 eta: 21:08:37 time: 0.9309 data_time: 0.0372 memory: 11089 grad_norm: 4.5006 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4129 loss: 1.4129 2022/08/03 16:33:43 - mmengine - INFO - Epoch(train) [106][1120/1879] lr: 2.0000e-03 eta: 21:08:19 time: 0.9240 data_time: 0.0307 memory: 11089 grad_norm: 4.4965 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4719 loss: 1.4719 2022/08/03 16:34:01 - mmengine - INFO - Epoch(train) [106][1140/1879] lr: 2.0000e-03 eta: 21:08:01 time: 0.9177 data_time: 0.0241 memory: 11089 grad_norm: 4.4421 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4783 loss: 1.4783 2022/08/03 16:34:20 - mmengine - INFO - Epoch(train) [106][1160/1879] lr: 2.0000e-03 eta: 21:07:43 time: 0.9145 data_time: 0.0266 memory: 11089 grad_norm: 4.4628 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3752 loss: 1.3752 2022/08/03 16:34:38 - mmengine - INFO - Epoch(train) [106][1180/1879] lr: 2.0000e-03 eta: 21:07:24 time: 0.8998 data_time: 0.0248 memory: 11089 grad_norm: 4.4340 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3768 loss: 1.3768 2022/08/03 16:34:56 - mmengine - INFO - Epoch(train) [106][1200/1879] lr: 2.0000e-03 eta: 21:07:06 time: 0.9013 data_time: 0.0308 memory: 11089 grad_norm: 4.4485 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4860 loss: 1.4860 2022/08/03 16:35:14 - mmengine - INFO - Epoch(train) [106][1220/1879] lr: 2.0000e-03 eta: 21:06:48 time: 0.9329 data_time: 0.0263 memory: 11089 grad_norm: 4.5783 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7231 loss: 1.7231 2022/08/03 16:35:33 - mmengine - INFO - Epoch(train) [106][1240/1879] lr: 2.0000e-03 eta: 21:06:30 time: 0.9173 data_time: 0.0233 memory: 11089 grad_norm: 4.4916 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3239 loss: 1.3239 2022/08/03 16:35:51 - mmengine - INFO - Epoch(train) [106][1260/1879] lr: 2.0000e-03 eta: 21:06:11 time: 0.9196 data_time: 0.0248 memory: 11089 grad_norm: 4.3799 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.4490 loss: 1.4490 2022/08/03 16:36:10 - mmengine - INFO - Epoch(train) [106][1280/1879] lr: 2.0000e-03 eta: 21:05:53 time: 0.9262 data_time: 0.0382 memory: 11089 grad_norm: 4.3937 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3694 loss: 1.3694 2022/08/03 16:36:28 - mmengine - INFO - Epoch(train) [106][1300/1879] lr: 2.0000e-03 eta: 21:05:35 time: 0.9052 data_time: 0.0261 memory: 11089 grad_norm: 4.4178 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4358 loss: 1.4358 2022/08/03 16:36:46 - mmengine - INFO - Epoch(train) [106][1320/1879] lr: 2.0000e-03 eta: 21:05:17 time: 0.9222 data_time: 0.0306 memory: 11089 grad_norm: 4.4416 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4144 loss: 1.4144 2022/08/03 16:37:04 - mmengine - INFO - Epoch(train) [106][1340/1879] lr: 2.0000e-03 eta: 21:04:59 time: 0.9048 data_time: 0.0285 memory: 11089 grad_norm: 4.5926 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5110 loss: 1.5110 2022/08/03 16:37:23 - mmengine - INFO - Epoch(train) [106][1360/1879] lr: 2.0000e-03 eta: 21:04:40 time: 0.9224 data_time: 0.0249 memory: 11089 grad_norm: 4.4440 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3733 loss: 1.3733 2022/08/03 16:37:41 - mmengine - INFO - Epoch(train) [106][1380/1879] lr: 2.0000e-03 eta: 21:04:22 time: 0.9334 data_time: 0.0246 memory: 11089 grad_norm: 4.4468 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4176 loss: 1.4176 2022/08/03 16:38:00 - mmengine - INFO - Epoch(train) [106][1400/1879] lr: 2.0000e-03 eta: 21:04:04 time: 0.9402 data_time: 0.0308 memory: 11089 grad_norm: 4.4325 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3544 loss: 1.3544 2022/08/03 16:38:19 - mmengine - INFO - Epoch(train) [106][1420/1879] lr: 2.0000e-03 eta: 21:03:46 time: 0.9238 data_time: 0.0360 memory: 11089 grad_norm: 4.3764 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2305 loss: 1.2305 2022/08/03 16:38:37 - mmengine - INFO - Epoch(train) [106][1440/1879] lr: 2.0000e-03 eta: 21:03:28 time: 0.9223 data_time: 0.0286 memory: 11089 grad_norm: 4.4649 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4854 loss: 1.4854 2022/08/03 16:38:55 - mmengine - INFO - Epoch(train) [106][1460/1879] lr: 2.0000e-03 eta: 21:03:10 time: 0.9195 data_time: 0.0270 memory: 11089 grad_norm: 4.4925 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5310 loss: 1.5310 2022/08/03 16:39:14 - mmengine - INFO - Epoch(train) [106][1480/1879] lr: 2.0000e-03 eta: 21:02:52 time: 0.9096 data_time: 0.0232 memory: 11089 grad_norm: 4.3766 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3154 loss: 1.3154 2022/08/03 16:39:32 - mmengine - INFO - Epoch(train) [106][1500/1879] lr: 2.0000e-03 eta: 21:02:33 time: 0.9151 data_time: 0.0265 memory: 11089 grad_norm: 4.4911 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3926 loss: 1.3926 2022/08/03 16:39:50 - mmengine - INFO - Epoch(train) [106][1520/1879] lr: 2.0000e-03 eta: 21:02:15 time: 0.9189 data_time: 0.0257 memory: 11089 grad_norm: 4.3972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4862 loss: 1.4862 2022/08/03 16:40:09 - mmengine - INFO - Epoch(train) [106][1540/1879] lr: 2.0000e-03 eta: 21:01:57 time: 0.9157 data_time: 0.0272 memory: 11089 grad_norm: 4.4438 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4105 loss: 1.4105 2022/08/03 16:40:27 - mmengine - INFO - Epoch(train) [106][1560/1879] lr: 2.0000e-03 eta: 21:01:39 time: 0.9270 data_time: 0.0297 memory: 11089 grad_norm: 4.5213 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5556 loss: 1.5556 2022/08/03 16:40:46 - mmengine - INFO - Epoch(train) [106][1580/1879] lr: 2.0000e-03 eta: 21:01:21 time: 0.9232 data_time: 0.0319 memory: 11089 grad_norm: 4.5165 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6660 loss: 1.6660 2022/08/03 16:41:04 - mmengine - INFO - Epoch(train) [106][1600/1879] lr: 2.0000e-03 eta: 21:01:03 time: 0.9184 data_time: 0.0296 memory: 11089 grad_norm: 4.4241 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3139 loss: 1.3139 2022/08/03 16:41:22 - mmengine - INFO - Epoch(train) [106][1620/1879] lr: 2.0000e-03 eta: 21:00:44 time: 0.9132 data_time: 0.0250 memory: 11089 grad_norm: 4.3965 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3995 loss: 1.3995 2022/08/03 16:41:40 - mmengine - INFO - Epoch(train) [106][1640/1879] lr: 2.0000e-03 eta: 21:00:26 time: 0.9053 data_time: 0.0295 memory: 11089 grad_norm: 4.3336 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4497 loss: 1.4497 2022/08/03 16:41:59 - mmengine - INFO - Epoch(train) [106][1660/1879] lr: 2.0000e-03 eta: 21:00:08 time: 0.9091 data_time: 0.0230 memory: 11089 grad_norm: 4.3645 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.3578 loss: 1.3578 2022/08/03 16:42:17 - mmengine - INFO - Epoch(train) [106][1680/1879] lr: 2.0000e-03 eta: 20:59:49 time: 0.9088 data_time: 0.0265 memory: 11089 grad_norm: 4.5887 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6116 loss: 1.6116 2022/08/03 16:42:35 - mmengine - INFO - Epoch(train) [106][1700/1879] lr: 2.0000e-03 eta: 20:59:31 time: 0.9236 data_time: 0.0222 memory: 11089 grad_norm: 4.6317 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5516 loss: 1.5516 2022/08/03 16:42:40 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 16:42:54 - mmengine - INFO - Epoch(train) [106][1720/1879] lr: 2.0000e-03 eta: 20:59:13 time: 0.9187 data_time: 0.0268 memory: 11089 grad_norm: 4.5067 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4005 loss: 1.4005 2022/08/03 16:43:12 - mmengine - INFO - Epoch(train) [106][1740/1879] lr: 2.0000e-03 eta: 20:58:55 time: 0.9311 data_time: 0.0289 memory: 11089 grad_norm: 4.6187 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4818 loss: 1.4818 2022/08/03 16:43:30 - mmengine - INFO - Epoch(train) [106][1760/1879] lr: 2.0000e-03 eta: 20:58:37 time: 0.9017 data_time: 0.0241 memory: 11089 grad_norm: 4.4272 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5875 loss: 1.5875 2022/08/03 16:43:48 - mmengine - INFO - Epoch(train) [106][1780/1879] lr: 2.0000e-03 eta: 20:58:18 time: 0.8988 data_time: 0.0258 memory: 11089 grad_norm: 4.5433 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3856 loss: 1.3856 2022/08/03 16:44:07 - mmengine - INFO - Epoch(train) [106][1800/1879] lr: 2.0000e-03 eta: 20:58:00 time: 0.9186 data_time: 0.0227 memory: 11089 grad_norm: 4.4615 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3875 loss: 1.3875 2022/08/03 16:44:25 - mmengine - INFO - Epoch(train) [106][1820/1879] lr: 2.0000e-03 eta: 20:57:42 time: 0.9175 data_time: 0.0273 memory: 11089 grad_norm: 4.2903 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1062 loss: 1.1062 2022/08/03 16:44:43 - mmengine - INFO - Epoch(train) [106][1840/1879] lr: 2.0000e-03 eta: 20:57:24 time: 0.9061 data_time: 0.0262 memory: 11089 grad_norm: 4.4405 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5906 loss: 1.5906 2022/08/03 16:45:02 - mmengine - INFO - Epoch(train) [106][1860/1879] lr: 2.0000e-03 eta: 20:57:06 time: 0.9255 data_time: 0.0264 memory: 11089 grad_norm: 4.3891 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3798 loss: 1.3798 2022/08/03 16:45:19 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 16:45:19 - mmengine - INFO - Epoch(train) [106][1879/1879] lr: 2.0000e-03 eta: 20:57:06 time: 0.9150 data_time: 0.0350 memory: 11089 grad_norm: 4.3536 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.3486 loss: 1.3486 2022/08/03 16:45:40 - mmengine - INFO - Epoch(train) [107][20/1879] lr: 2.0000e-03 eta: 20:56:24 time: 1.0149 data_time: 0.1352 memory: 11089 grad_norm: 4.3737 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5112 loss: 1.5112 2022/08/03 16:45:58 - mmengine - INFO - Epoch(train) [107][40/1879] lr: 2.0000e-03 eta: 20:56:05 time: 0.9107 data_time: 0.0275 memory: 11089 grad_norm: 4.4395 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3770 loss: 1.3770 2022/08/03 16:46:16 - mmengine - INFO - Epoch(train) [107][60/1879] lr: 2.0000e-03 eta: 20:55:47 time: 0.9264 data_time: 0.0258 memory: 11089 grad_norm: 4.5006 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4802 loss: 1.4802 2022/08/03 16:46:35 - mmengine - INFO - Epoch(train) [107][80/1879] lr: 2.0000e-03 eta: 20:55:29 time: 0.9401 data_time: 0.0341 memory: 11089 grad_norm: 4.4608 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4060 loss: 1.4060 2022/08/03 16:46:54 - mmengine - INFO - Epoch(train) [107][100/1879] lr: 2.0000e-03 eta: 20:55:11 time: 0.9340 data_time: 0.0280 memory: 11089 grad_norm: 4.4729 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2985 loss: 1.2985 2022/08/03 16:47:12 - mmengine - INFO - Epoch(train) [107][120/1879] lr: 2.0000e-03 eta: 20:54:53 time: 0.9296 data_time: 0.0382 memory: 11089 grad_norm: 4.5369 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3254 loss: 1.3254 2022/08/03 16:47:31 - mmengine - INFO - Epoch(train) [107][140/1879] lr: 2.0000e-03 eta: 20:54:35 time: 0.9337 data_time: 0.0282 memory: 11089 grad_norm: 4.5107 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4379 loss: 1.4379 2022/08/03 16:47:50 - mmengine - INFO - Epoch(train) [107][160/1879] lr: 2.0000e-03 eta: 20:54:17 time: 0.9266 data_time: 0.0333 memory: 11089 grad_norm: 4.4832 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3631 loss: 1.3631 2022/08/03 16:48:08 - mmengine - INFO - Epoch(train) [107][180/1879] lr: 2.0000e-03 eta: 20:53:59 time: 0.9218 data_time: 0.0290 memory: 11089 grad_norm: 4.4683 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3604 loss: 1.3604 2022/08/03 16:48:26 - mmengine - INFO - Epoch(train) [107][200/1879] lr: 2.0000e-03 eta: 20:53:41 time: 0.9225 data_time: 0.0277 memory: 11089 grad_norm: 4.6125 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5247 loss: 1.5247 2022/08/03 16:48:44 - mmengine - INFO - Epoch(train) [107][220/1879] lr: 2.0000e-03 eta: 20:53:22 time: 0.8986 data_time: 0.0260 memory: 11089 grad_norm: 4.4089 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2944 loss: 1.2944 2022/08/03 16:49:03 - mmengine - INFO - Epoch(train) [107][240/1879] lr: 2.0000e-03 eta: 20:53:04 time: 0.9426 data_time: 0.0251 memory: 11089 grad_norm: 4.4280 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4441 loss: 1.4441 2022/08/03 16:49:22 - mmengine - INFO - Epoch(train) [107][260/1879] lr: 2.0000e-03 eta: 20:52:46 time: 0.9393 data_time: 0.0258 memory: 11089 grad_norm: 4.5325 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.3708 loss: 1.3708 2022/08/03 16:49:40 - mmengine - INFO - Epoch(train) [107][280/1879] lr: 2.0000e-03 eta: 20:52:28 time: 0.9137 data_time: 0.0240 memory: 11089 grad_norm: 4.5428 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5048 loss: 1.5048 2022/08/03 16:49:59 - mmengine - INFO - Epoch(train) [107][300/1879] lr: 2.0000e-03 eta: 20:52:10 time: 0.9141 data_time: 0.0273 memory: 11089 grad_norm: 4.4195 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2832 loss: 1.2832 2022/08/03 16:50:17 - mmengine - INFO - Epoch(train) [107][320/1879] lr: 2.0000e-03 eta: 20:51:52 time: 0.9312 data_time: 0.0287 memory: 11089 grad_norm: 4.5111 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4250 loss: 1.4250 2022/08/03 16:50:35 - mmengine - INFO - Epoch(train) [107][340/1879] lr: 2.0000e-03 eta: 20:51:33 time: 0.9087 data_time: 0.0288 memory: 11089 grad_norm: 4.4399 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5150 loss: 1.5150 2022/08/03 16:50:54 - mmengine - INFO - Epoch(train) [107][360/1879] lr: 2.0000e-03 eta: 20:51:15 time: 0.9113 data_time: 0.0243 memory: 11089 grad_norm: 4.4445 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4346 loss: 1.4346 2022/08/03 16:51:13 - mmengine - INFO - Epoch(train) [107][380/1879] lr: 2.0000e-03 eta: 20:50:57 time: 0.9412 data_time: 0.0305 memory: 11089 grad_norm: 4.6991 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4332 loss: 1.4332 2022/08/03 16:51:31 - mmengine - INFO - Epoch(train) [107][400/1879] lr: 2.0000e-03 eta: 20:50:39 time: 0.9127 data_time: 0.0313 memory: 11089 grad_norm: 4.4499 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3434 loss: 1.3434 2022/08/03 16:51:49 - mmengine - INFO - Epoch(train) [107][420/1879] lr: 2.0000e-03 eta: 20:50:21 time: 0.9329 data_time: 0.0309 memory: 11089 grad_norm: 4.5127 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3989 loss: 1.3989 2022/08/03 16:52:08 - mmengine - INFO - Epoch(train) [107][440/1879] lr: 2.0000e-03 eta: 20:50:03 time: 0.9144 data_time: 0.0289 memory: 11089 grad_norm: 4.4667 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2590 loss: 1.2590 2022/08/03 16:52:26 - mmengine - INFO - Epoch(train) [107][460/1879] lr: 2.0000e-03 eta: 20:49:45 time: 0.9322 data_time: 0.0281 memory: 11089 grad_norm: 4.5534 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4764 loss: 1.4764 2022/08/03 16:52:46 - mmengine - INFO - Epoch(train) [107][480/1879] lr: 2.0000e-03 eta: 20:49:27 time: 0.9553 data_time: 0.0331 memory: 11089 grad_norm: 4.3929 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1835 loss: 1.1835 2022/08/03 16:53:04 - mmengine - INFO - Epoch(train) [107][500/1879] lr: 2.0000e-03 eta: 20:49:09 time: 0.9481 data_time: 0.0304 memory: 11089 grad_norm: 4.5720 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4772 loss: 1.4772 2022/08/03 16:53:23 - mmengine - INFO - Epoch(train) [107][520/1879] lr: 2.0000e-03 eta: 20:48:51 time: 0.9274 data_time: 0.0321 memory: 11089 grad_norm: 4.4748 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3794 loss: 1.3794 2022/08/03 16:53:42 - mmengine - INFO - Epoch(train) [107][540/1879] lr: 2.0000e-03 eta: 20:48:33 time: 0.9404 data_time: 0.0281 memory: 11089 grad_norm: 4.4267 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4774 loss: 1.4774 2022/08/03 16:54:00 - mmengine - INFO - Epoch(train) [107][560/1879] lr: 2.0000e-03 eta: 20:48:14 time: 0.9099 data_time: 0.0225 memory: 11089 grad_norm: 4.5155 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3605 loss: 1.3605 2022/08/03 16:54:18 - mmengine - INFO - Epoch(train) [107][580/1879] lr: 2.0000e-03 eta: 20:47:56 time: 0.9069 data_time: 0.0270 memory: 11089 grad_norm: 4.4752 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4762 loss: 1.4762 2022/08/03 16:54:37 - mmengine - INFO - Epoch(train) [107][600/1879] lr: 2.0000e-03 eta: 20:47:38 time: 0.9214 data_time: 0.0269 memory: 11089 grad_norm: 4.4015 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4116 loss: 1.4116 2022/08/03 16:54:55 - mmengine - INFO - Epoch(train) [107][620/1879] lr: 2.0000e-03 eta: 20:47:20 time: 0.9199 data_time: 0.0272 memory: 11089 grad_norm: 4.4597 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4395 loss: 1.4395 2022/08/03 16:55:13 - mmengine - INFO - Epoch(train) [107][640/1879] lr: 2.0000e-03 eta: 20:47:02 time: 0.9212 data_time: 0.0282 memory: 11089 grad_norm: 4.4799 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4503 loss: 1.4503 2022/08/03 16:55:32 - mmengine - INFO - Epoch(train) [107][660/1879] lr: 2.0000e-03 eta: 20:46:44 time: 0.9327 data_time: 0.0318 memory: 11089 grad_norm: 4.4688 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1683 loss: 1.1683 2022/08/03 16:55:50 - mmengine - INFO - Epoch(train) [107][680/1879] lr: 2.0000e-03 eta: 20:46:25 time: 0.9097 data_time: 0.0265 memory: 11089 grad_norm: 4.4978 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4704 loss: 1.4704 2022/08/03 16:56:08 - mmengine - INFO - Epoch(train) [107][700/1879] lr: 2.0000e-03 eta: 20:46:07 time: 0.9047 data_time: 0.0285 memory: 11089 grad_norm: 4.4039 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3869 loss: 1.3869 2022/08/03 16:56:27 - mmengine - INFO - Epoch(train) [107][720/1879] lr: 2.0000e-03 eta: 20:45:49 time: 0.9242 data_time: 0.0292 memory: 11089 grad_norm: 4.6285 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5146 loss: 1.5146 2022/08/03 16:56:46 - mmengine - INFO - Epoch(train) [107][740/1879] lr: 2.0000e-03 eta: 20:45:31 time: 0.9394 data_time: 0.0387 memory: 11089 grad_norm: 4.5615 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5417 loss: 1.5417 2022/08/03 16:57:04 - mmengine - INFO - Epoch(train) [107][760/1879] lr: 2.0000e-03 eta: 20:45:13 time: 0.9329 data_time: 0.0333 memory: 11089 grad_norm: 4.6035 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4997 loss: 1.4997 2022/08/03 16:57:23 - mmengine - INFO - Epoch(train) [107][780/1879] lr: 2.0000e-03 eta: 20:44:54 time: 0.9096 data_time: 0.0287 memory: 11089 grad_norm: 4.4482 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3423 loss: 1.3423 2022/08/03 16:57:41 - mmengine - INFO - Epoch(train) [107][800/1879] lr: 2.0000e-03 eta: 20:44:36 time: 0.9209 data_time: 0.0299 memory: 11089 grad_norm: 4.5550 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3023 loss: 1.3023 2022/08/03 16:58:00 - mmengine - INFO - Epoch(train) [107][820/1879] lr: 2.0000e-03 eta: 20:44:18 time: 0.9262 data_time: 0.0313 memory: 11089 grad_norm: 4.4222 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2832 loss: 1.2832 2022/08/03 16:58:05 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 16:58:18 - mmengine - INFO - Epoch(train) [107][840/1879] lr: 2.0000e-03 eta: 20:44:00 time: 0.9191 data_time: 0.0269 memory: 11089 grad_norm: 4.4301 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3283 loss: 1.3283 2022/08/03 16:58:37 - mmengine - INFO - Epoch(train) [107][860/1879] lr: 2.0000e-03 eta: 20:43:42 time: 0.9343 data_time: 0.0287 memory: 11089 grad_norm: 4.3611 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1546 loss: 1.1546 2022/08/03 16:58:55 - mmengine - INFO - Epoch(train) [107][880/1879] lr: 2.0000e-03 eta: 20:43:24 time: 0.9226 data_time: 0.0247 memory: 11089 grad_norm: 4.3975 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4228 loss: 1.4228 2022/08/03 16:59:14 - mmengine - INFO - Epoch(train) [107][900/1879] lr: 2.0000e-03 eta: 20:43:06 time: 0.9281 data_time: 0.0259 memory: 11089 grad_norm: 4.5490 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1830 loss: 1.1830 2022/08/03 16:59:32 - mmengine - INFO - Epoch(train) [107][920/1879] lr: 2.0000e-03 eta: 20:42:48 time: 0.9351 data_time: 0.0289 memory: 11089 grad_norm: 4.4679 top1_acc: 0.4375 top5_acc: 1.0000 loss_cls: 1.3898 loss: 1.3898 2022/08/03 16:59:51 - mmengine - INFO - Epoch(train) [107][940/1879] lr: 2.0000e-03 eta: 20:42:29 time: 0.9170 data_time: 0.0272 memory: 11089 grad_norm: 4.4830 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4717 loss: 1.4717 2022/08/03 17:00:09 - mmengine - INFO - Epoch(train) [107][960/1879] lr: 2.0000e-03 eta: 20:42:11 time: 0.9367 data_time: 0.0306 memory: 11089 grad_norm: 4.5002 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3819 loss: 1.3819 2022/08/03 17:00:28 - mmengine - INFO - Epoch(train) [107][980/1879] lr: 2.0000e-03 eta: 20:41:53 time: 0.9270 data_time: 0.0364 memory: 11089 grad_norm: 4.6678 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2720 loss: 1.2720 2022/08/03 17:00:46 - mmengine - INFO - Epoch(train) [107][1000/1879] lr: 2.0000e-03 eta: 20:41:35 time: 0.9231 data_time: 0.0315 memory: 11089 grad_norm: 4.4942 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4650 loss: 1.4650 2022/08/03 17:01:04 - mmengine - INFO - Epoch(train) [107][1020/1879] lr: 2.0000e-03 eta: 20:41:17 time: 0.8867 data_time: 0.0251 memory: 11089 grad_norm: 4.5710 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4535 loss: 1.4535 2022/08/03 17:01:22 - mmengine - INFO - Epoch(train) [107][1040/1879] lr: 2.0000e-03 eta: 20:40:58 time: 0.9054 data_time: 0.0261 memory: 11089 grad_norm: 4.4541 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4776 loss: 1.4776 2022/08/03 17:01:41 - mmengine - INFO - Epoch(train) [107][1060/1879] lr: 2.0000e-03 eta: 20:40:40 time: 0.9397 data_time: 0.0374 memory: 11089 grad_norm: 4.4413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4805 loss: 1.4805 2022/08/03 17:02:00 - mmengine - INFO - Epoch(train) [107][1080/1879] lr: 2.0000e-03 eta: 20:40:22 time: 0.9513 data_time: 0.0339 memory: 11089 grad_norm: 4.4649 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4370 loss: 1.4370 2022/08/03 17:02:18 - mmengine - INFO - Epoch(train) [107][1100/1879] lr: 2.0000e-03 eta: 20:40:04 time: 0.9100 data_time: 0.0249 memory: 11089 grad_norm: 4.4711 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.3643 loss: 1.3643 2022/08/03 17:02:36 - mmengine - INFO - Epoch(train) [107][1120/1879] lr: 2.0000e-03 eta: 20:39:46 time: 0.9077 data_time: 0.0239 memory: 11089 grad_norm: 4.6234 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5185 loss: 1.5185 2022/08/03 17:02:55 - mmengine - INFO - Epoch(train) [107][1140/1879] lr: 2.0000e-03 eta: 20:39:28 time: 0.9153 data_time: 0.0237 memory: 11089 grad_norm: 4.3772 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3704 loss: 1.3704 2022/08/03 17:03:13 - mmengine - INFO - Epoch(train) [107][1160/1879] lr: 2.0000e-03 eta: 20:39:10 time: 0.9246 data_time: 0.0306 memory: 11089 grad_norm: 4.5111 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3477 loss: 1.3477 2022/08/03 17:03:32 - mmengine - INFO - Epoch(train) [107][1180/1879] lr: 2.0000e-03 eta: 20:38:51 time: 0.9217 data_time: 0.0262 memory: 11089 grad_norm: 4.5460 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4686 loss: 1.4686 2022/08/03 17:03:50 - mmengine - INFO - Epoch(train) [107][1200/1879] lr: 2.0000e-03 eta: 20:38:33 time: 0.8993 data_time: 0.0241 memory: 11089 grad_norm: 4.4684 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3203 loss: 1.3203 2022/08/03 17:04:08 - mmengine - INFO - Epoch(train) [107][1220/1879] lr: 2.0000e-03 eta: 20:38:15 time: 0.9248 data_time: 0.0293 memory: 11089 grad_norm: 4.4650 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5293 loss: 1.5293 2022/08/03 17:04:26 - mmengine - INFO - Epoch(train) [107][1240/1879] lr: 2.0000e-03 eta: 20:37:57 time: 0.9121 data_time: 0.0259 memory: 11089 grad_norm: 4.6236 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2911 loss: 1.2911 2022/08/03 17:04:45 - mmengine - INFO - Epoch(train) [107][1260/1879] lr: 2.0000e-03 eta: 20:37:39 time: 0.9358 data_time: 0.0366 memory: 11089 grad_norm: 4.5785 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5692 loss: 1.5692 2022/08/03 17:05:04 - mmengine - INFO - Epoch(train) [107][1280/1879] lr: 2.0000e-03 eta: 20:37:20 time: 0.9185 data_time: 0.0234 memory: 11089 grad_norm: 4.5895 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3843 loss: 1.3843 2022/08/03 17:05:22 - mmengine - INFO - Epoch(train) [107][1300/1879] lr: 2.0000e-03 eta: 20:37:02 time: 0.9156 data_time: 0.0245 memory: 11089 grad_norm: 4.5406 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3225 loss: 1.3225 2022/08/03 17:05:40 - mmengine - INFO - Epoch(train) [107][1320/1879] lr: 2.0000e-03 eta: 20:36:44 time: 0.9203 data_time: 0.0256 memory: 11089 grad_norm: 4.5429 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5131 loss: 1.5131 2022/08/03 17:05:59 - mmengine - INFO - Epoch(train) [107][1340/1879] lr: 2.0000e-03 eta: 20:36:26 time: 0.9511 data_time: 0.0331 memory: 11089 grad_norm: 4.4815 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3339 loss: 1.3339 2022/08/03 17:06:18 - mmengine - INFO - Epoch(train) [107][1360/1879] lr: 2.0000e-03 eta: 20:36:08 time: 0.9177 data_time: 0.0270 memory: 11089 grad_norm: 4.4932 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3172 loss: 1.3172 2022/08/03 17:06:36 - mmengine - INFO - Epoch(train) [107][1380/1879] lr: 2.0000e-03 eta: 20:35:50 time: 0.9179 data_time: 0.0260 memory: 11089 grad_norm: 4.5397 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2674 loss: 1.2674 2022/08/03 17:06:54 - mmengine - INFO - Epoch(train) [107][1400/1879] lr: 2.0000e-03 eta: 20:35:31 time: 0.9164 data_time: 0.0271 memory: 11089 grad_norm: 4.5407 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3061 loss: 1.3061 2022/08/03 17:07:13 - mmengine - INFO - Epoch(train) [107][1420/1879] lr: 2.0000e-03 eta: 20:35:13 time: 0.9199 data_time: 0.0257 memory: 11089 grad_norm: 4.5053 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3357 loss: 1.3357 2022/08/03 17:07:31 - mmengine - INFO - Epoch(train) [107][1440/1879] lr: 2.0000e-03 eta: 20:34:55 time: 0.8921 data_time: 0.0260 memory: 11089 grad_norm: 4.6688 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3226 loss: 1.3226 2022/08/03 17:07:49 - mmengine - INFO - Epoch(train) [107][1460/1879] lr: 2.0000e-03 eta: 20:34:37 time: 0.9421 data_time: 0.0265 memory: 11089 grad_norm: 4.4107 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3564 loss: 1.3564 2022/08/03 17:08:08 - mmengine - INFO - Epoch(train) [107][1480/1879] lr: 2.0000e-03 eta: 20:34:19 time: 0.9114 data_time: 0.0227 memory: 11089 grad_norm: 4.4719 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4013 loss: 1.4013 2022/08/03 17:08:26 - mmengine - INFO - Epoch(train) [107][1500/1879] lr: 2.0000e-03 eta: 20:34:00 time: 0.9159 data_time: 0.0265 memory: 11089 grad_norm: 4.5322 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2845 loss: 1.2845 2022/08/03 17:08:44 - mmengine - INFO - Epoch(train) [107][1520/1879] lr: 2.0000e-03 eta: 20:33:42 time: 0.9151 data_time: 0.0304 memory: 11089 grad_norm: 4.6303 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3899 loss: 1.3899 2022/08/03 17:09:03 - mmengine - INFO - Epoch(train) [107][1540/1879] lr: 2.0000e-03 eta: 20:33:24 time: 0.9334 data_time: 0.0266 memory: 11089 grad_norm: 4.5173 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.4473 loss: 1.4473 2022/08/03 17:09:21 - mmengine - INFO - Epoch(train) [107][1560/1879] lr: 2.0000e-03 eta: 20:33:06 time: 0.9058 data_time: 0.0256 memory: 11089 grad_norm: 4.5012 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4895 loss: 1.4895 2022/08/03 17:09:39 - mmengine - INFO - Epoch(train) [107][1580/1879] lr: 2.0000e-03 eta: 20:32:48 time: 0.9109 data_time: 0.0345 memory: 11089 grad_norm: 4.5500 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6049 loss: 1.6049 2022/08/03 17:09:57 - mmengine - INFO - Epoch(train) [107][1600/1879] lr: 2.0000e-03 eta: 20:32:29 time: 0.9055 data_time: 0.0291 memory: 11089 grad_norm: 4.4725 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5548 loss: 1.5548 2022/08/03 17:10:16 - mmengine - INFO - Epoch(train) [107][1620/1879] lr: 2.0000e-03 eta: 20:32:11 time: 0.9280 data_time: 0.0268 memory: 11089 grad_norm: 4.4010 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3340 loss: 1.3340 2022/08/03 17:10:35 - mmengine - INFO - Epoch(train) [107][1640/1879] lr: 2.0000e-03 eta: 20:31:53 time: 0.9300 data_time: 0.0252 memory: 11089 grad_norm: 4.4222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3124 loss: 1.3124 2022/08/03 17:10:53 - mmengine - INFO - Epoch(train) [107][1660/1879] lr: 2.0000e-03 eta: 20:31:35 time: 0.9159 data_time: 0.0239 memory: 11089 grad_norm: 4.5648 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.3303 loss: 1.3303 2022/08/03 17:11:11 - mmengine - INFO - Epoch(train) [107][1680/1879] lr: 2.0000e-03 eta: 20:31:17 time: 0.9174 data_time: 0.0287 memory: 11089 grad_norm: 4.5063 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3276 loss: 1.3276 2022/08/03 17:11:30 - mmengine - INFO - Epoch(train) [107][1700/1879] lr: 2.0000e-03 eta: 20:30:59 time: 0.9183 data_time: 0.0283 memory: 11089 grad_norm: 4.4927 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4426 loss: 1.4426 2022/08/03 17:11:48 - mmengine - INFO - Epoch(train) [107][1720/1879] lr: 2.0000e-03 eta: 20:30:40 time: 0.9350 data_time: 0.0355 memory: 11089 grad_norm: 4.5603 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3055 loss: 1.3055 2022/08/03 17:12:07 - mmengine - INFO - Epoch(train) [107][1740/1879] lr: 2.0000e-03 eta: 20:30:22 time: 0.9353 data_time: 0.0250 memory: 11089 grad_norm: 4.6179 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4568 loss: 1.4568 2022/08/03 17:12:26 - mmengine - INFO - Epoch(train) [107][1760/1879] lr: 2.0000e-03 eta: 20:30:04 time: 0.9390 data_time: 0.0308 memory: 11089 grad_norm: 4.5946 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5757 loss: 1.5757 2022/08/03 17:12:44 - mmengine - INFO - Epoch(train) [107][1780/1879] lr: 2.0000e-03 eta: 20:29:46 time: 0.9238 data_time: 0.0251 memory: 11089 grad_norm: 4.5215 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1618 loss: 1.1618 2022/08/03 17:13:03 - mmengine - INFO - Epoch(train) [107][1800/1879] lr: 2.0000e-03 eta: 20:29:28 time: 0.9363 data_time: 0.0319 memory: 11089 grad_norm: 4.5074 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5689 loss: 1.5689 2022/08/03 17:13:21 - mmengine - INFO - Epoch(train) [107][1820/1879] lr: 2.0000e-03 eta: 20:29:10 time: 0.9175 data_time: 0.0360 memory: 11089 grad_norm: 4.4889 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4761 loss: 1.4761 2022/08/03 17:13:27 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 17:13:40 - mmengine - INFO - Epoch(train) [107][1840/1879] lr: 2.0000e-03 eta: 20:28:52 time: 0.9080 data_time: 0.0267 memory: 11089 grad_norm: 4.5703 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3798 loss: 1.3798 2022/08/03 17:13:58 - mmengine - INFO - Epoch(train) [107][1860/1879] lr: 2.0000e-03 eta: 20:28:34 time: 0.9204 data_time: 0.0280 memory: 11089 grad_norm: 4.6172 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2861 loss: 1.2861 2022/08/03 17:14:15 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 17:14:15 - mmengine - INFO - Epoch(train) [107][1879/1879] lr: 2.0000e-03 eta: 20:28:34 time: 0.8789 data_time: 0.0243 memory: 11089 grad_norm: 4.8818 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.2399 loss: 1.2399 2022/08/03 17:14:36 - mmengine - INFO - Epoch(train) [108][20/1879] lr: 2.0000e-03 eta: 20:27:52 time: 1.0673 data_time: 0.1695 memory: 11089 grad_norm: 4.5113 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3369 loss: 1.3369 2022/08/03 17:14:54 - mmengine - INFO - Epoch(train) [108][40/1879] lr: 2.0000e-03 eta: 20:27:34 time: 0.9013 data_time: 0.0324 memory: 11089 grad_norm: 4.4568 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2922 loss: 1.2922 2022/08/03 17:15:13 - mmengine - INFO - Epoch(train) [108][60/1879] lr: 2.0000e-03 eta: 20:27:16 time: 0.9378 data_time: 0.0312 memory: 11089 grad_norm: 4.5410 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4703 loss: 1.4703 2022/08/03 17:15:31 - mmengine - INFO - Epoch(train) [108][80/1879] lr: 2.0000e-03 eta: 20:26:58 time: 0.8985 data_time: 0.0247 memory: 11089 grad_norm: 4.6325 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2479 loss: 1.2479 2022/08/03 17:15:49 - mmengine - INFO - Epoch(train) [108][100/1879] lr: 2.0000e-03 eta: 20:26:39 time: 0.9153 data_time: 0.0303 memory: 11089 grad_norm: 4.7261 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6031 loss: 1.6031 2022/08/03 17:16:08 - mmengine - INFO - Epoch(train) [108][120/1879] lr: 2.0000e-03 eta: 20:26:21 time: 0.9504 data_time: 0.0421 memory: 11089 grad_norm: 4.4374 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3780 loss: 1.3780 2022/08/03 17:16:27 - mmengine - INFO - Epoch(train) [108][140/1879] lr: 2.0000e-03 eta: 20:26:03 time: 0.9280 data_time: 0.0285 memory: 11089 grad_norm: 4.5572 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2870 loss: 1.2870 2022/08/03 17:16:45 - mmengine - INFO - Epoch(train) [108][160/1879] lr: 2.0000e-03 eta: 20:25:45 time: 0.9162 data_time: 0.0248 memory: 11089 grad_norm: 4.5191 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2882 loss: 1.2882 2022/08/03 17:17:03 - mmengine - INFO - Epoch(train) [108][180/1879] lr: 2.0000e-03 eta: 20:25:27 time: 0.9119 data_time: 0.0257 memory: 11089 grad_norm: 4.6737 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4029 loss: 1.4029 2022/08/03 17:17:22 - mmengine - INFO - Epoch(train) [108][200/1879] lr: 2.0000e-03 eta: 20:25:09 time: 0.9197 data_time: 0.0285 memory: 11089 grad_norm: 4.5182 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1923 loss: 1.1923 2022/08/03 17:17:40 - mmengine - INFO - Epoch(train) [108][220/1879] lr: 2.0000e-03 eta: 20:24:50 time: 0.9202 data_time: 0.0345 memory: 11089 grad_norm: 4.6789 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4674 loss: 1.4674 2022/08/03 17:17:58 - mmengine - INFO - Epoch(train) [108][240/1879] lr: 2.0000e-03 eta: 20:24:32 time: 0.9125 data_time: 0.0250 memory: 11089 grad_norm: 4.6219 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5066 loss: 1.5066 2022/08/03 17:18:17 - mmengine - INFO - Epoch(train) [108][260/1879] lr: 2.0000e-03 eta: 20:24:14 time: 0.9432 data_time: 0.0267 memory: 11089 grad_norm: 4.5762 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5028 loss: 1.5028 2022/08/03 17:18:36 - mmengine - INFO - Epoch(train) [108][280/1879] lr: 2.0000e-03 eta: 20:23:56 time: 0.9400 data_time: 0.0274 memory: 11089 grad_norm: 4.5943 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.3781 loss: 1.3781 2022/08/03 17:18:54 - mmengine - INFO - Epoch(train) [108][300/1879] lr: 2.0000e-03 eta: 20:23:38 time: 0.9145 data_time: 0.0274 memory: 11089 grad_norm: 4.4005 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2294 loss: 1.2294 2022/08/03 17:19:13 - mmengine - INFO - Epoch(train) [108][320/1879] lr: 2.0000e-03 eta: 20:23:20 time: 0.9051 data_time: 0.0235 memory: 11089 grad_norm: 4.5183 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2715 loss: 1.2715 2022/08/03 17:19:31 - mmengine - INFO - Epoch(train) [108][340/1879] lr: 2.0000e-03 eta: 20:23:02 time: 0.9243 data_time: 0.0291 memory: 11089 grad_norm: 4.4532 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1574 loss: 1.1574 2022/08/03 17:19:49 - mmengine - INFO - Epoch(train) [108][360/1879] lr: 2.0000e-03 eta: 20:22:43 time: 0.9080 data_time: 0.0236 memory: 11089 grad_norm: 4.4739 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5144 loss: 1.5144 2022/08/03 17:20:07 - mmengine - INFO - Epoch(train) [108][380/1879] lr: 2.0000e-03 eta: 20:22:25 time: 0.9131 data_time: 0.0289 memory: 11089 grad_norm: 4.5336 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4013 loss: 1.4013 2022/08/03 17:20:25 - mmengine - INFO - Epoch(train) [108][400/1879] lr: 2.0000e-03 eta: 20:22:07 time: 0.8961 data_time: 0.0292 memory: 11089 grad_norm: 4.5677 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5010 loss: 1.5010 2022/08/03 17:20:43 - mmengine - INFO - Epoch(train) [108][420/1879] lr: 2.0000e-03 eta: 20:21:48 time: 0.8963 data_time: 0.0234 memory: 11089 grad_norm: 4.5635 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4316 loss: 1.4316 2022/08/03 17:21:02 - mmengine - INFO - Epoch(train) [108][440/1879] lr: 2.0000e-03 eta: 20:21:30 time: 0.9247 data_time: 0.0299 memory: 11089 grad_norm: 4.6418 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4155 loss: 1.4155 2022/08/03 17:21:20 - mmengine - INFO - Epoch(train) [108][460/1879] lr: 2.0000e-03 eta: 20:21:12 time: 0.9185 data_time: 0.0248 memory: 11089 grad_norm: 4.4027 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.3429 loss: 1.3429 2022/08/03 17:21:39 - mmengine - INFO - Epoch(train) [108][480/1879] lr: 2.0000e-03 eta: 20:20:54 time: 0.9393 data_time: 0.0322 memory: 11089 grad_norm: 4.5942 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3598 loss: 1.3598 2022/08/03 17:21:57 - mmengine - INFO - Epoch(train) [108][500/1879] lr: 2.0000e-03 eta: 20:20:36 time: 0.9178 data_time: 0.0228 memory: 11089 grad_norm: 4.7008 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.3757 loss: 1.3757 2022/08/03 17:22:16 - mmengine - INFO - Epoch(train) [108][520/1879] lr: 2.0000e-03 eta: 20:20:18 time: 0.9160 data_time: 0.0252 memory: 11089 grad_norm: 4.5148 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6237 loss: 1.6237 2022/08/03 17:22:34 - mmengine - INFO - Epoch(train) [108][540/1879] lr: 2.0000e-03 eta: 20:19:59 time: 0.9289 data_time: 0.0319 memory: 11089 grad_norm: 4.4414 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4775 loss: 1.4775 2022/08/03 17:22:52 - mmengine - INFO - Epoch(train) [108][560/1879] lr: 2.0000e-03 eta: 20:19:41 time: 0.8891 data_time: 0.0235 memory: 11089 grad_norm: 4.4647 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4694 loss: 1.4694 2022/08/03 17:23:10 - mmengine - INFO - Epoch(train) [108][580/1879] lr: 2.0000e-03 eta: 20:19:23 time: 0.9116 data_time: 0.0267 memory: 11089 grad_norm: 4.4555 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3753 loss: 1.3753 2022/08/03 17:23:28 - mmengine - INFO - Epoch(train) [108][600/1879] lr: 2.0000e-03 eta: 20:19:05 time: 0.9120 data_time: 0.0278 memory: 11089 grad_norm: 4.3912 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3395 loss: 1.3395 2022/08/03 17:23:47 - mmengine - INFO - Epoch(train) [108][620/1879] lr: 2.0000e-03 eta: 20:18:46 time: 0.9136 data_time: 0.0262 memory: 11089 grad_norm: 4.6381 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3990 loss: 1.3990 2022/08/03 17:24:06 - mmengine - INFO - Epoch(train) [108][640/1879] lr: 2.0000e-03 eta: 20:18:28 time: 0.9337 data_time: 0.0285 memory: 11089 grad_norm: 4.5677 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2794 loss: 1.2794 2022/08/03 17:24:23 - mmengine - INFO - Epoch(train) [108][660/1879] lr: 2.0000e-03 eta: 20:18:10 time: 0.8916 data_time: 0.0301 memory: 11089 grad_norm: 4.6052 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3302 loss: 1.3302 2022/08/03 17:24:42 - mmengine - INFO - Epoch(train) [108][680/1879] lr: 2.0000e-03 eta: 20:17:52 time: 0.9242 data_time: 0.0333 memory: 11089 grad_norm: 4.6668 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3855 loss: 1.3855 2022/08/03 17:25:01 - mmengine - INFO - Epoch(train) [108][700/1879] lr: 2.0000e-03 eta: 20:17:34 time: 0.9380 data_time: 0.0312 memory: 11089 grad_norm: 4.5442 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4862 loss: 1.4862 2022/08/03 17:25:19 - mmengine - INFO - Epoch(train) [108][720/1879] lr: 2.0000e-03 eta: 20:17:16 time: 0.9462 data_time: 0.0376 memory: 11089 grad_norm: 4.6598 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3392 loss: 1.3392 2022/08/03 17:25:38 - mmengine - INFO - Epoch(train) [108][740/1879] lr: 2.0000e-03 eta: 20:16:58 time: 0.9287 data_time: 0.0267 memory: 11089 grad_norm: 4.5644 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3778 loss: 1.3778 2022/08/03 17:25:55 - mmengine - INFO - Epoch(train) [108][760/1879] lr: 2.0000e-03 eta: 20:16:39 time: 0.8724 data_time: 0.0256 memory: 11089 grad_norm: 4.4514 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4168 loss: 1.4168 2022/08/03 17:26:14 - mmengine - INFO - Epoch(train) [108][780/1879] lr: 2.0000e-03 eta: 20:16:21 time: 0.9231 data_time: 0.0256 memory: 11089 grad_norm: 4.3434 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2552 loss: 1.2552 2022/08/03 17:26:32 - mmengine - INFO - Epoch(train) [108][800/1879] lr: 2.0000e-03 eta: 20:16:03 time: 0.8984 data_time: 0.0250 memory: 11089 grad_norm: 4.6818 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4783 loss: 1.4783 2022/08/03 17:26:51 - mmengine - INFO - Epoch(train) [108][820/1879] lr: 2.0000e-03 eta: 20:15:44 time: 0.9316 data_time: 0.0322 memory: 11089 grad_norm: 4.6734 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3870 loss: 1.3870 2022/08/03 17:27:09 - mmengine - INFO - Epoch(train) [108][840/1879] lr: 2.0000e-03 eta: 20:15:26 time: 0.9261 data_time: 0.0343 memory: 11089 grad_norm: 4.6662 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5705 loss: 1.5705 2022/08/03 17:27:27 - mmengine - INFO - Epoch(train) [108][860/1879] lr: 2.0000e-03 eta: 20:15:08 time: 0.9076 data_time: 0.0263 memory: 11089 grad_norm: 4.5833 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3442 loss: 1.3442 2022/08/03 17:27:46 - mmengine - INFO - Epoch(train) [108][880/1879] lr: 2.0000e-03 eta: 20:14:50 time: 0.9179 data_time: 0.0284 memory: 11089 grad_norm: 4.5851 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4672 loss: 1.4672 2022/08/03 17:28:04 - mmengine - INFO - Epoch(train) [108][900/1879] lr: 2.0000e-03 eta: 20:14:32 time: 0.9110 data_time: 0.0207 memory: 11089 grad_norm: 4.5616 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4046 loss: 1.4046 2022/08/03 17:28:22 - mmengine - INFO - Epoch(train) [108][920/1879] lr: 2.0000e-03 eta: 20:14:13 time: 0.9063 data_time: 0.0260 memory: 11089 grad_norm: 4.6281 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3509 loss: 1.3509 2022/08/03 17:28:40 - mmengine - INFO - Epoch(train) [108][940/1879] lr: 2.0000e-03 eta: 20:13:55 time: 0.9088 data_time: 0.0249 memory: 11089 grad_norm: 4.5767 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3657 loss: 1.3657 2022/08/03 17:28:47 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 17:28:59 - mmengine - INFO - Epoch(train) [108][960/1879] lr: 2.0000e-03 eta: 20:13:37 time: 0.9188 data_time: 0.0256 memory: 11089 grad_norm: 4.5062 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4409 loss: 1.4409 2022/08/03 17:29:17 - mmengine - INFO - Epoch(train) [108][980/1879] lr: 2.0000e-03 eta: 20:13:19 time: 0.9365 data_time: 0.0321 memory: 11089 grad_norm: 4.4735 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3104 loss: 1.3104 2022/08/03 17:29:36 - mmengine - INFO - Epoch(train) [108][1000/1879] lr: 2.0000e-03 eta: 20:13:01 time: 0.9209 data_time: 0.0266 memory: 11089 grad_norm: 4.6546 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1813 loss: 1.1813 2022/08/03 17:29:54 - mmengine - INFO - Epoch(train) [108][1020/1879] lr: 2.0000e-03 eta: 20:12:42 time: 0.9171 data_time: 0.0224 memory: 11089 grad_norm: 4.4864 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3479 loss: 1.3479 2022/08/03 17:30:12 - mmengine - INFO - Epoch(train) [108][1040/1879] lr: 2.0000e-03 eta: 20:12:24 time: 0.9040 data_time: 0.0308 memory: 11089 grad_norm: 4.4355 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.3600 loss: 1.3600 2022/08/03 17:30:30 - mmengine - INFO - Epoch(train) [108][1060/1879] lr: 2.0000e-03 eta: 20:12:06 time: 0.9056 data_time: 0.0277 memory: 11089 grad_norm: 4.5533 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1891 loss: 1.1891 2022/08/03 17:30:48 - mmengine - INFO - Epoch(train) [108][1080/1879] lr: 2.0000e-03 eta: 20:11:47 time: 0.8985 data_time: 0.0280 memory: 11089 grad_norm: 4.7095 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3896 loss: 1.3896 2022/08/03 17:31:07 - mmengine - INFO - Epoch(train) [108][1100/1879] lr: 2.0000e-03 eta: 20:11:29 time: 0.9380 data_time: 0.0293 memory: 11089 grad_norm: 4.6147 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5075 loss: 1.5075 2022/08/03 17:31:25 - mmengine - INFO - Epoch(train) [108][1120/1879] lr: 2.0000e-03 eta: 20:11:11 time: 0.9026 data_time: 0.0288 memory: 11089 grad_norm: 4.5047 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3408 loss: 1.3408 2022/08/03 17:31:43 - mmengine - INFO - Epoch(train) [108][1140/1879] lr: 2.0000e-03 eta: 20:10:53 time: 0.9044 data_time: 0.0271 memory: 11089 grad_norm: 4.6476 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4141 loss: 1.4141 2022/08/03 17:32:01 - mmengine - INFO - Epoch(train) [108][1160/1879] lr: 2.0000e-03 eta: 20:10:35 time: 0.9068 data_time: 0.0265 memory: 11089 grad_norm: 4.5632 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3410 loss: 1.3410 2022/08/03 17:32:19 - mmengine - INFO - Epoch(train) [108][1180/1879] lr: 2.0000e-03 eta: 20:10:16 time: 0.9101 data_time: 0.0309 memory: 11089 grad_norm: 4.5835 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3699 loss: 1.3699 2022/08/03 17:32:38 - mmengine - INFO - Epoch(train) [108][1200/1879] lr: 2.0000e-03 eta: 20:09:58 time: 0.9337 data_time: 0.0283 memory: 11089 grad_norm: 4.5557 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3924 loss: 1.3924 2022/08/03 17:32:57 - mmengine - INFO - Epoch(train) [108][1220/1879] lr: 2.0000e-03 eta: 20:09:40 time: 0.9302 data_time: 0.0324 memory: 11089 grad_norm: 4.4437 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2987 loss: 1.2987 2022/08/03 17:33:15 - mmengine - INFO - Epoch(train) [108][1240/1879] lr: 2.0000e-03 eta: 20:09:22 time: 0.9148 data_time: 0.0266 memory: 11089 grad_norm: 4.5625 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2135 loss: 1.2135 2022/08/03 17:33:33 - mmengine - INFO - Epoch(train) [108][1260/1879] lr: 2.0000e-03 eta: 20:09:04 time: 0.9110 data_time: 0.0283 memory: 11089 grad_norm: 4.6241 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2793 loss: 1.2793 2022/08/03 17:33:51 - mmengine - INFO - Epoch(train) [108][1280/1879] lr: 2.0000e-03 eta: 20:08:45 time: 0.9062 data_time: 0.0291 memory: 11089 grad_norm: 4.5446 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3353 loss: 1.3353 2022/08/03 17:34:09 - mmengine - INFO - Epoch(train) [108][1300/1879] lr: 2.0000e-03 eta: 20:08:27 time: 0.8965 data_time: 0.0264 memory: 11089 grad_norm: 4.4749 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3018 loss: 1.3018 2022/08/03 17:34:28 - mmengine - INFO - Epoch(train) [108][1320/1879] lr: 2.0000e-03 eta: 20:08:09 time: 0.9097 data_time: 0.0278 memory: 11089 grad_norm: 4.5575 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3730 loss: 1.3730 2022/08/03 17:34:46 - mmengine - INFO - Epoch(train) [108][1340/1879] lr: 2.0000e-03 eta: 20:07:51 time: 0.9252 data_time: 0.0299 memory: 11089 grad_norm: 4.5549 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3434 loss: 1.3434 2022/08/03 17:35:05 - mmengine - INFO - Epoch(train) [108][1360/1879] lr: 2.0000e-03 eta: 20:07:32 time: 0.9283 data_time: 0.0248 memory: 11089 grad_norm: 4.7012 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3310 loss: 1.3310 2022/08/03 17:35:23 - mmengine - INFO - Epoch(train) [108][1380/1879] lr: 2.0000e-03 eta: 20:07:14 time: 0.9119 data_time: 0.0285 memory: 11089 grad_norm: 4.6283 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3032 loss: 1.3032 2022/08/03 17:35:41 - mmengine - INFO - Epoch(train) [108][1400/1879] lr: 2.0000e-03 eta: 20:06:56 time: 0.9292 data_time: 0.0307 memory: 11089 grad_norm: 4.6425 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4243 loss: 1.4243 2022/08/03 17:36:00 - mmengine - INFO - Epoch(train) [108][1420/1879] lr: 2.0000e-03 eta: 20:06:38 time: 0.9409 data_time: 0.0294 memory: 11089 grad_norm: 4.5430 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3960 loss: 1.3960 2022/08/03 17:36:19 - mmengine - INFO - Epoch(train) [108][1440/1879] lr: 2.0000e-03 eta: 20:06:20 time: 0.9174 data_time: 0.0256 memory: 11089 grad_norm: 4.6002 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2796 loss: 1.2796 2022/08/03 17:36:37 - mmengine - INFO - Epoch(train) [108][1460/1879] lr: 2.0000e-03 eta: 20:06:02 time: 0.9204 data_time: 0.0250 memory: 11089 grad_norm: 4.6033 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3403 loss: 1.3403 2022/08/03 17:36:56 - mmengine - INFO - Epoch(train) [108][1480/1879] lr: 2.0000e-03 eta: 20:05:44 time: 0.9258 data_time: 0.0319 memory: 11089 grad_norm: 4.6112 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4555 loss: 1.4555 2022/08/03 17:37:14 - mmengine - INFO - Epoch(train) [108][1500/1879] lr: 2.0000e-03 eta: 20:05:25 time: 0.9191 data_time: 0.0261 memory: 11089 grad_norm: 4.5180 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1695 loss: 1.1695 2022/08/03 17:37:32 - mmengine - INFO - Epoch(train) [108][1520/1879] lr: 2.0000e-03 eta: 20:05:07 time: 0.9245 data_time: 0.0274 memory: 11089 grad_norm: 4.6341 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2657 loss: 1.2657 2022/08/03 17:37:51 - mmengine - INFO - Epoch(train) [108][1540/1879] lr: 2.0000e-03 eta: 20:04:49 time: 0.9139 data_time: 0.0299 memory: 11089 grad_norm: 4.5533 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6365 loss: 1.6365 2022/08/03 17:38:09 - mmengine - INFO - Epoch(train) [108][1560/1879] lr: 2.0000e-03 eta: 20:04:31 time: 0.9177 data_time: 0.0277 memory: 11089 grad_norm: 4.4633 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3930 loss: 1.3930 2022/08/03 17:38:28 - mmengine - INFO - Epoch(train) [108][1580/1879] lr: 2.0000e-03 eta: 20:04:13 time: 0.9215 data_time: 0.0275 memory: 11089 grad_norm: 4.6178 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3430 loss: 1.3430 2022/08/03 17:38:46 - mmengine - INFO - Epoch(train) [108][1600/1879] lr: 2.0000e-03 eta: 20:03:54 time: 0.9224 data_time: 0.0237 memory: 11089 grad_norm: 4.5364 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3984 loss: 1.3984 2022/08/03 17:39:04 - mmengine - INFO - Epoch(train) [108][1620/1879] lr: 2.0000e-03 eta: 20:03:36 time: 0.9194 data_time: 0.0323 memory: 11089 grad_norm: 4.4935 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3453 loss: 1.3453 2022/08/03 17:39:23 - mmengine - INFO - Epoch(train) [108][1640/1879] lr: 2.0000e-03 eta: 20:03:18 time: 0.9127 data_time: 0.0279 memory: 11089 grad_norm: 4.5425 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3800 loss: 1.3800 2022/08/03 17:39:41 - mmengine - INFO - Epoch(train) [108][1660/1879] lr: 2.0000e-03 eta: 20:03:00 time: 0.9118 data_time: 0.0302 memory: 11089 grad_norm: 4.4583 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4167 loss: 1.4167 2022/08/03 17:39:59 - mmengine - INFO - Epoch(train) [108][1680/1879] lr: 2.0000e-03 eta: 20:02:42 time: 0.9125 data_time: 0.0280 memory: 11089 grad_norm: 4.5823 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3755 loss: 1.3755 2022/08/03 17:40:18 - mmengine - INFO - Epoch(train) [108][1700/1879] lr: 2.0000e-03 eta: 20:02:24 time: 0.9586 data_time: 0.0305 memory: 11089 grad_norm: 4.6457 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2984 loss: 1.2984 2022/08/03 17:40:37 - mmengine - INFO - Epoch(train) [108][1720/1879] lr: 2.0000e-03 eta: 20:02:05 time: 0.9094 data_time: 0.0263 memory: 11089 grad_norm: 4.6612 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4959 loss: 1.4959 2022/08/03 17:40:55 - mmengine - INFO - Epoch(train) [108][1740/1879] lr: 2.0000e-03 eta: 20:01:47 time: 0.9022 data_time: 0.0223 memory: 11089 grad_norm: 4.5964 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5534 loss: 1.5534 2022/08/03 17:41:13 - mmengine - INFO - Epoch(train) [108][1760/1879] lr: 2.0000e-03 eta: 20:01:29 time: 0.9191 data_time: 0.0235 memory: 11089 grad_norm: 4.6601 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2444 loss: 1.2444 2022/08/03 17:41:32 - mmengine - INFO - Epoch(train) [108][1780/1879] lr: 2.0000e-03 eta: 20:01:11 time: 0.9343 data_time: 0.0284 memory: 11089 grad_norm: 4.6175 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1963 loss: 1.1963 2022/08/03 17:41:50 - mmengine - INFO - Epoch(train) [108][1800/1879] lr: 2.0000e-03 eta: 20:00:53 time: 0.9210 data_time: 0.0251 memory: 11089 grad_norm: 4.5884 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2981 loss: 1.2981 2022/08/03 17:42:08 - mmengine - INFO - Epoch(train) [108][1820/1879] lr: 2.0000e-03 eta: 20:00:34 time: 0.9156 data_time: 0.0278 memory: 11089 grad_norm: 4.5335 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2962 loss: 1.2962 2022/08/03 17:42:27 - mmengine - INFO - Epoch(train) [108][1840/1879] lr: 2.0000e-03 eta: 20:00:16 time: 0.9290 data_time: 0.0345 memory: 11089 grad_norm: 4.6380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3443 loss: 1.3443 2022/08/03 17:42:45 - mmengine - INFO - Epoch(train) [108][1860/1879] lr: 2.0000e-03 eta: 19:59:58 time: 0.9089 data_time: 0.0234 memory: 11089 grad_norm: 4.6657 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3831 loss: 1.3831 2022/08/03 17:43:02 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 17:43:02 - mmengine - INFO - Epoch(train) [108][1879/1879] lr: 2.0000e-03 eta: 19:59:58 time: 0.8925 data_time: 0.0286 memory: 11089 grad_norm: 4.6366 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.5222 loss: 1.5222 2022/08/03 17:43:02 - mmengine - INFO - Saving checkpoint at 108 epochs 2022/08/03 17:43:25 - mmengine - INFO - Epoch(train) [109][20/1879] lr: 2.0000e-03 eta: 19:59:16 time: 0.9887 data_time: 0.1000 memory: 11089 grad_norm: 4.4977 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4640 loss: 1.4640 2022/08/03 17:43:43 - mmengine - INFO - Epoch(train) [109][40/1879] lr: 2.0000e-03 eta: 19:58:58 time: 0.9084 data_time: 0.0312 memory: 11089 grad_norm: 4.6463 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4486 loss: 1.4486 2022/08/03 17:44:02 - mmengine - INFO - Epoch(train) [109][60/1879] lr: 2.0000e-03 eta: 19:58:40 time: 0.9068 data_time: 0.0263 memory: 11089 grad_norm: 4.4047 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3777 loss: 1.3777 2022/08/03 17:44:09 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 17:44:20 - mmengine - INFO - Epoch(train) [109][80/1879] lr: 2.0000e-03 eta: 19:58:22 time: 0.9192 data_time: 0.0262 memory: 11089 grad_norm: 4.4874 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2750 loss: 1.2750 2022/08/03 17:44:38 - mmengine - INFO - Epoch(train) [109][100/1879] lr: 2.0000e-03 eta: 19:58:03 time: 0.9177 data_time: 0.0280 memory: 11089 grad_norm: 4.4663 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3987 loss: 1.3987 2022/08/03 17:44:57 - mmengine - INFO - Epoch(train) [109][120/1879] lr: 2.0000e-03 eta: 19:57:45 time: 0.9341 data_time: 0.0351 memory: 11089 grad_norm: 4.5344 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4775 loss: 1.4775 2022/08/03 17:45:15 - mmengine - INFO - Epoch(train) [109][140/1879] lr: 2.0000e-03 eta: 19:57:27 time: 0.9084 data_time: 0.0287 memory: 11089 grad_norm: 4.6233 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4865 loss: 1.4865 2022/08/03 17:45:34 - mmengine - INFO - Epoch(train) [109][160/1879] lr: 2.0000e-03 eta: 19:57:09 time: 0.9173 data_time: 0.0292 memory: 11089 grad_norm: 4.6319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1619 loss: 1.1619 2022/08/03 17:45:52 - mmengine - INFO - Epoch(train) [109][180/1879] lr: 2.0000e-03 eta: 19:56:51 time: 0.9192 data_time: 0.0265 memory: 11089 grad_norm: 4.5095 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2785 loss: 1.2785 2022/08/03 17:46:10 - mmengine - INFO - Epoch(train) [109][200/1879] lr: 2.0000e-03 eta: 19:56:33 time: 0.9287 data_time: 0.0335 memory: 11089 grad_norm: 4.5671 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3098 loss: 1.3098 2022/08/03 17:46:29 - mmengine - INFO - Epoch(train) [109][220/1879] lr: 2.0000e-03 eta: 19:56:14 time: 0.9207 data_time: 0.0305 memory: 11089 grad_norm: 4.5550 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3584 loss: 1.3584 2022/08/03 17:46:47 - mmengine - INFO - Epoch(train) [109][240/1879] lr: 2.0000e-03 eta: 19:55:56 time: 0.9271 data_time: 0.0271 memory: 11089 grad_norm: 4.5946 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2621 loss: 1.2621 2022/08/03 17:47:06 - mmengine - INFO - Epoch(train) [109][260/1879] lr: 2.0000e-03 eta: 19:55:38 time: 0.9060 data_time: 0.0308 memory: 11089 grad_norm: 4.7022 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4050 loss: 1.4050 2022/08/03 17:47:24 - mmengine - INFO - Epoch(train) [109][280/1879] lr: 2.0000e-03 eta: 19:55:20 time: 0.9138 data_time: 0.0290 memory: 11089 grad_norm: 4.5565 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3246 loss: 1.3246 2022/08/03 17:47:42 - mmengine - INFO - Epoch(train) [109][300/1879] lr: 2.0000e-03 eta: 19:55:01 time: 0.8981 data_time: 0.0227 memory: 11089 grad_norm: 4.4618 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4089 loss: 1.4089 2022/08/03 17:48:00 - mmengine - INFO - Epoch(train) [109][320/1879] lr: 2.0000e-03 eta: 19:54:43 time: 0.9138 data_time: 0.0297 memory: 11089 grad_norm: 4.3904 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1633 loss: 1.1633 2022/08/03 17:48:18 - mmengine - INFO - Epoch(train) [109][340/1879] lr: 2.0000e-03 eta: 19:54:25 time: 0.9177 data_time: 0.0265 memory: 11089 grad_norm: 4.6606 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3321 loss: 1.3321 2022/08/03 17:48:37 - mmengine - INFO - Epoch(train) [109][360/1879] lr: 2.0000e-03 eta: 19:54:07 time: 0.9106 data_time: 0.0272 memory: 11089 grad_norm: 4.6093 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4258 loss: 1.4258 2022/08/03 17:48:55 - mmengine - INFO - Epoch(train) [109][380/1879] lr: 2.0000e-03 eta: 19:53:48 time: 0.8992 data_time: 0.0262 memory: 11089 grad_norm: 4.5071 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4774 loss: 1.4774 2022/08/03 17:49:13 - mmengine - INFO - Epoch(train) [109][400/1879] lr: 2.0000e-03 eta: 19:53:30 time: 0.9366 data_time: 0.0247 memory: 11089 grad_norm: 4.5256 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2752 loss: 1.2752 2022/08/03 17:49:32 - mmengine - INFO - Epoch(train) [109][420/1879] lr: 2.0000e-03 eta: 19:53:12 time: 0.9314 data_time: 0.0281 memory: 11089 grad_norm: 4.5546 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4200 loss: 1.4200 2022/08/03 17:49:50 - mmengine - INFO - Epoch(train) [109][440/1879] lr: 2.0000e-03 eta: 19:52:54 time: 0.9220 data_time: 0.0287 memory: 11089 grad_norm: 4.6458 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4742 loss: 1.4742 2022/08/03 17:50:09 - mmengine - INFO - Epoch(train) [109][460/1879] lr: 2.0000e-03 eta: 19:52:36 time: 0.9035 data_time: 0.0268 memory: 11089 grad_norm: 4.5058 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2232 loss: 1.2232 2022/08/03 17:50:27 - mmengine - INFO - Epoch(train) [109][480/1879] lr: 2.0000e-03 eta: 19:52:18 time: 0.9273 data_time: 0.0267 memory: 11089 grad_norm: 4.5118 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3755 loss: 1.3755 2022/08/03 17:50:46 - mmengine - INFO - Epoch(train) [109][500/1879] lr: 2.0000e-03 eta: 19:52:00 time: 0.9272 data_time: 0.0294 memory: 11089 grad_norm: 4.3593 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3047 loss: 1.3047 2022/08/03 17:51:04 - mmengine - INFO - Epoch(train) [109][520/1879] lr: 2.0000e-03 eta: 19:51:42 time: 0.9378 data_time: 0.0349 memory: 11089 grad_norm: 4.5510 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2491 loss: 1.2491 2022/08/03 17:51:23 - mmengine - INFO - Epoch(train) [109][540/1879] lr: 2.0000e-03 eta: 19:51:23 time: 0.9135 data_time: 0.0267 memory: 11089 grad_norm: 4.5725 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4676 loss: 1.4676 2022/08/03 17:51:41 - mmengine - INFO - Epoch(train) [109][560/1879] lr: 2.0000e-03 eta: 19:51:05 time: 0.9218 data_time: 0.0275 memory: 11089 grad_norm: 4.5432 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3065 loss: 1.3065 2022/08/03 17:51:59 - mmengine - INFO - Epoch(train) [109][580/1879] lr: 2.0000e-03 eta: 19:50:47 time: 0.9174 data_time: 0.0305 memory: 11089 grad_norm: 4.5697 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2930 loss: 1.2930 2022/08/03 17:52:18 - mmengine - INFO - Epoch(train) [109][600/1879] lr: 2.0000e-03 eta: 19:50:29 time: 0.9430 data_time: 0.0261 memory: 11089 grad_norm: 4.4562 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4744 loss: 1.4744 2022/08/03 17:52:37 - mmengine - INFO - Epoch(train) [109][620/1879] lr: 2.0000e-03 eta: 19:50:11 time: 0.9376 data_time: 0.0361 memory: 11089 grad_norm: 4.5289 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2903 loss: 1.2903 2022/08/03 17:52:55 - mmengine - INFO - Epoch(train) [109][640/1879] lr: 2.0000e-03 eta: 19:49:53 time: 0.9073 data_time: 0.0259 memory: 11089 grad_norm: 4.6291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4032 loss: 1.4032 2022/08/03 17:53:14 - mmengine - INFO - Epoch(train) [109][660/1879] lr: 2.0000e-03 eta: 19:49:34 time: 0.9179 data_time: 0.0244 memory: 11089 grad_norm: 4.6027 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4125 loss: 1.4125 2022/08/03 17:53:33 - mmengine - INFO - Epoch(train) [109][680/1879] lr: 2.0000e-03 eta: 19:49:16 time: 0.9480 data_time: 0.0435 memory: 11089 grad_norm: 4.6668 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1888 loss: 1.1888 2022/08/03 17:53:51 - mmengine - INFO - Epoch(train) [109][700/1879] lr: 2.0000e-03 eta: 19:48:58 time: 0.9363 data_time: 0.0359 memory: 11089 grad_norm: 4.6049 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5025 loss: 1.5025 2022/08/03 17:54:10 - mmengine - INFO - Epoch(train) [109][720/1879] lr: 2.0000e-03 eta: 19:48:40 time: 0.9172 data_time: 0.0346 memory: 11089 grad_norm: 4.6564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3176 loss: 1.3176 2022/08/03 17:54:28 - mmengine - INFO - Epoch(train) [109][740/1879] lr: 2.0000e-03 eta: 19:48:22 time: 0.9161 data_time: 0.0248 memory: 11089 grad_norm: 4.5500 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.3384 loss: 1.3384 2022/08/03 17:54:47 - mmengine - INFO - Epoch(train) [109][760/1879] lr: 2.0000e-03 eta: 19:48:04 time: 0.9459 data_time: 0.0369 memory: 11089 grad_norm: 4.4413 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3902 loss: 1.3902 2022/08/03 17:55:05 - mmengine - INFO - Epoch(train) [109][780/1879] lr: 2.0000e-03 eta: 19:47:46 time: 0.9099 data_time: 0.0232 memory: 11089 grad_norm: 4.6006 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.2003 loss: 1.2003 2022/08/03 17:55:24 - mmengine - INFO - Epoch(train) [109][800/1879] lr: 2.0000e-03 eta: 19:47:28 time: 0.9385 data_time: 0.0348 memory: 11089 grad_norm: 4.7920 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4421 loss: 1.4421 2022/08/03 17:55:42 - mmengine - INFO - Epoch(train) [109][820/1879] lr: 2.0000e-03 eta: 19:47:10 time: 0.9257 data_time: 0.0287 memory: 11089 grad_norm: 4.6765 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5750 loss: 1.5750 2022/08/03 17:56:01 - mmengine - INFO - Epoch(train) [109][840/1879] lr: 2.0000e-03 eta: 19:46:51 time: 0.9178 data_time: 0.0308 memory: 11089 grad_norm: 4.6660 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3660 loss: 1.3660 2022/08/03 17:56:19 - mmengine - INFO - Epoch(train) [109][860/1879] lr: 2.0000e-03 eta: 19:46:33 time: 0.9084 data_time: 0.0259 memory: 11089 grad_norm: 4.5163 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4513 loss: 1.4513 2022/08/03 17:56:37 - mmengine - INFO - Epoch(train) [109][880/1879] lr: 2.0000e-03 eta: 19:46:15 time: 0.9029 data_time: 0.0291 memory: 11089 grad_norm: 4.7331 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4919 loss: 1.4919 2022/08/03 17:56:55 - mmengine - INFO - Epoch(train) [109][900/1879] lr: 2.0000e-03 eta: 19:45:57 time: 0.9067 data_time: 0.0261 memory: 11089 grad_norm: 4.7565 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3373 loss: 1.3373 2022/08/03 17:57:13 - mmengine - INFO - Epoch(train) [109][920/1879] lr: 2.0000e-03 eta: 19:45:38 time: 0.9047 data_time: 0.0292 memory: 11089 grad_norm: 4.6315 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1791 loss: 1.1791 2022/08/03 17:57:32 - mmengine - INFO - Epoch(train) [109][940/1879] lr: 2.0000e-03 eta: 19:45:20 time: 0.9304 data_time: 0.0353 memory: 11089 grad_norm: 4.5794 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3095 loss: 1.3095 2022/08/03 17:57:51 - mmengine - INFO - Epoch(train) [109][960/1879] lr: 2.0000e-03 eta: 19:45:02 time: 0.9492 data_time: 0.0339 memory: 11089 grad_norm: 4.7032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3102 loss: 1.3102 2022/08/03 17:58:09 - mmengine - INFO - Epoch(train) [109][980/1879] lr: 2.0000e-03 eta: 19:44:44 time: 0.9310 data_time: 0.0286 memory: 11089 grad_norm: 4.6897 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4722 loss: 1.4722 2022/08/03 17:58:27 - mmengine - INFO - Epoch(train) [109][1000/1879] lr: 2.0000e-03 eta: 19:44:26 time: 0.8832 data_time: 0.0258 memory: 11089 grad_norm: 4.7070 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.6069 loss: 1.6069 2022/08/03 17:58:45 - mmengine - INFO - Epoch(train) [109][1020/1879] lr: 2.0000e-03 eta: 19:44:07 time: 0.9018 data_time: 0.0232 memory: 11089 grad_norm: 4.8198 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5049 loss: 1.5049 2022/08/03 17:59:04 - mmengine - INFO - Epoch(train) [109][1040/1879] lr: 2.0000e-03 eta: 19:43:49 time: 0.9156 data_time: 0.0259 memory: 11089 grad_norm: 4.6532 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4269 loss: 1.4269 2022/08/03 17:59:22 - mmengine - INFO - Epoch(train) [109][1060/1879] lr: 2.0000e-03 eta: 19:43:31 time: 0.9193 data_time: 0.0270 memory: 11089 grad_norm: 4.6995 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3662 loss: 1.3662 2022/08/03 17:59:29 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 17:59:40 - mmengine - INFO - Epoch(train) [109][1080/1879] lr: 2.0000e-03 eta: 19:43:13 time: 0.9270 data_time: 0.0262 memory: 11089 grad_norm: 4.5512 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4099 loss: 1.4099 2022/08/03 17:59:59 - mmengine - INFO - Epoch(train) [109][1100/1879] lr: 2.0000e-03 eta: 19:42:54 time: 0.9047 data_time: 0.0272 memory: 11089 grad_norm: 4.5903 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4339 loss: 1.4339 2022/08/03 18:00:20 - mmengine - INFO - Epoch(train) [109][1120/1879] lr: 2.0000e-03 eta: 19:42:38 time: 1.0878 data_time: 0.0329 memory: 11089 grad_norm: 4.6473 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3367 loss: 1.3367 2022/08/03 18:00:38 - mmengine - INFO - Epoch(train) [109][1140/1879] lr: 2.0000e-03 eta: 19:42:19 time: 0.9072 data_time: 0.0245 memory: 11089 grad_norm: 4.5334 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3632 loss: 1.3632 2022/08/03 18:00:57 - mmengine - INFO - Epoch(train) [109][1160/1879] lr: 2.0000e-03 eta: 19:42:01 time: 0.9032 data_time: 0.0247 memory: 11089 grad_norm: 4.6858 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3870 loss: 1.3870 2022/08/03 18:01:15 - mmengine - INFO - Epoch(train) [109][1180/1879] lr: 2.0000e-03 eta: 19:41:43 time: 0.9444 data_time: 0.0352 memory: 11089 grad_norm: 4.6738 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5096 loss: 1.5096 2022/08/03 18:01:34 - mmengine - INFO - Epoch(train) [109][1200/1879] lr: 2.0000e-03 eta: 19:41:25 time: 0.9210 data_time: 0.0290 memory: 11089 grad_norm: 4.6026 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3239 loss: 1.3239 2022/08/03 18:01:52 - mmengine - INFO - Epoch(train) [109][1220/1879] lr: 2.0000e-03 eta: 19:41:07 time: 0.9198 data_time: 0.0270 memory: 11089 grad_norm: 4.5516 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4696 loss: 1.4696 2022/08/03 18:02:11 - mmengine - INFO - Epoch(train) [109][1240/1879] lr: 2.0000e-03 eta: 19:40:48 time: 0.9156 data_time: 0.0325 memory: 11089 grad_norm: 4.6303 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4217 loss: 1.4217 2022/08/03 18:02:29 - mmengine - INFO - Epoch(train) [109][1260/1879] lr: 2.0000e-03 eta: 19:40:30 time: 0.9172 data_time: 0.0274 memory: 11089 grad_norm: 4.5963 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5296 loss: 1.5296 2022/08/03 18:02:47 - mmengine - INFO - Epoch(train) [109][1280/1879] lr: 2.0000e-03 eta: 19:40:12 time: 0.9091 data_time: 0.0208 memory: 11089 grad_norm: 4.5207 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3339 loss: 1.3339 2022/08/03 18:03:05 - mmengine - INFO - Epoch(train) [109][1300/1879] lr: 2.0000e-03 eta: 19:39:54 time: 0.8987 data_time: 0.0230 memory: 11089 grad_norm: 4.5362 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3475 loss: 1.3475 2022/08/03 18:03:24 - mmengine - INFO - Epoch(train) [109][1320/1879] lr: 2.0000e-03 eta: 19:39:36 time: 0.9336 data_time: 0.0307 memory: 11089 grad_norm: 4.6981 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3396 loss: 1.3396 2022/08/03 18:03:42 - mmengine - INFO - Epoch(train) [109][1340/1879] lr: 2.0000e-03 eta: 19:39:17 time: 0.9361 data_time: 0.0330 memory: 11089 grad_norm: 4.7722 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4584 loss: 1.4584 2022/08/03 18:04:01 - mmengine - INFO - Epoch(train) [109][1360/1879] lr: 2.0000e-03 eta: 19:38:59 time: 0.9152 data_time: 0.0284 memory: 11089 grad_norm: 4.6722 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5920 loss: 1.5920 2022/08/03 18:04:19 - mmengine - INFO - Epoch(train) [109][1380/1879] lr: 2.0000e-03 eta: 19:38:41 time: 0.9056 data_time: 0.0261 memory: 11089 grad_norm: 4.7112 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2525 loss: 1.2525 2022/08/03 18:04:38 - mmengine - INFO - Epoch(train) [109][1400/1879] lr: 2.0000e-03 eta: 19:38:23 time: 0.9469 data_time: 0.0327 memory: 11089 grad_norm: 4.6363 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2245 loss: 1.2245 2022/08/03 18:04:56 - mmengine - INFO - Epoch(train) [109][1420/1879] lr: 2.0000e-03 eta: 19:38:05 time: 0.9171 data_time: 0.0270 memory: 11089 grad_norm: 4.6519 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4510 loss: 1.4510 2022/08/03 18:05:15 - mmengine - INFO - Epoch(train) [109][1440/1879] lr: 2.0000e-03 eta: 19:37:47 time: 0.9201 data_time: 0.0310 memory: 11089 grad_norm: 4.7246 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2797 loss: 1.2797 2022/08/03 18:05:33 - mmengine - INFO - Epoch(train) [109][1460/1879] lr: 2.0000e-03 eta: 19:37:28 time: 0.8986 data_time: 0.0254 memory: 11089 grad_norm: 4.6123 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3178 loss: 1.3178 2022/08/03 18:05:51 - mmengine - INFO - Epoch(train) [109][1480/1879] lr: 2.0000e-03 eta: 19:37:10 time: 0.9112 data_time: 0.0258 memory: 11089 grad_norm: 4.6392 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3669 loss: 1.3669 2022/08/03 18:06:09 - mmengine - INFO - Epoch(train) [109][1500/1879] lr: 2.0000e-03 eta: 19:36:52 time: 0.9206 data_time: 0.0260 memory: 11089 grad_norm: 4.6207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3740 loss: 1.3740 2022/08/03 18:06:28 - mmengine - INFO - Epoch(train) [109][1520/1879] lr: 2.0000e-03 eta: 19:36:34 time: 0.9281 data_time: 0.0327 memory: 11089 grad_norm: 4.6753 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4244 loss: 1.4244 2022/08/03 18:06:46 - mmengine - INFO - Epoch(train) [109][1540/1879] lr: 2.0000e-03 eta: 19:36:16 time: 0.9191 data_time: 0.0291 memory: 11089 grad_norm: 4.7281 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3644 loss: 1.3644 2022/08/03 18:07:05 - mmengine - INFO - Epoch(train) [109][1560/1879] lr: 2.0000e-03 eta: 19:35:57 time: 0.9172 data_time: 0.0307 memory: 11089 grad_norm: 4.6245 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3371 loss: 1.3371 2022/08/03 18:07:23 - mmengine - INFO - Epoch(train) [109][1580/1879] lr: 2.0000e-03 eta: 19:35:39 time: 0.9280 data_time: 0.0299 memory: 11089 grad_norm: 4.7112 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4332 loss: 1.4332 2022/08/03 18:07:41 - mmengine - INFO - Epoch(train) [109][1600/1879] lr: 2.0000e-03 eta: 19:35:21 time: 0.9183 data_time: 0.0235 memory: 11089 grad_norm: 4.7032 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5701 loss: 1.5701 2022/08/03 18:08:00 - mmengine - INFO - Epoch(train) [109][1620/1879] lr: 2.0000e-03 eta: 19:35:03 time: 0.9261 data_time: 0.0326 memory: 11089 grad_norm: 4.7002 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4341 loss: 1.4341 2022/08/03 18:08:19 - mmengine - INFO - Epoch(train) [109][1640/1879] lr: 2.0000e-03 eta: 19:34:45 time: 0.9318 data_time: 0.0282 memory: 11089 grad_norm: 4.6316 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3505 loss: 1.3505 2022/08/03 18:08:37 - mmengine - INFO - Epoch(train) [109][1660/1879] lr: 2.0000e-03 eta: 19:34:26 time: 0.9075 data_time: 0.0314 memory: 11089 grad_norm: 4.5569 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1018 loss: 1.1018 2022/08/03 18:08:55 - mmengine - INFO - Epoch(train) [109][1680/1879] lr: 2.0000e-03 eta: 19:34:08 time: 0.9007 data_time: 0.0271 memory: 11089 grad_norm: 4.5689 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4787 loss: 1.4787 2022/08/03 18:09:13 - mmengine - INFO - Epoch(train) [109][1700/1879] lr: 2.0000e-03 eta: 19:33:50 time: 0.9309 data_time: 0.0261 memory: 11089 grad_norm: 4.6004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3905 loss: 1.3905 2022/08/03 18:09:32 - mmengine - INFO - Epoch(train) [109][1720/1879] lr: 2.0000e-03 eta: 19:33:32 time: 0.9253 data_time: 0.0330 memory: 11089 grad_norm: 4.7104 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3921 loss: 1.3921 2022/08/03 18:09:50 - mmengine - INFO - Epoch(train) [109][1740/1879] lr: 2.0000e-03 eta: 19:33:14 time: 0.9080 data_time: 0.0269 memory: 11089 grad_norm: 4.5644 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4207 loss: 1.4207 2022/08/03 18:10:08 - mmengine - INFO - Epoch(train) [109][1760/1879] lr: 2.0000e-03 eta: 19:32:55 time: 0.9117 data_time: 0.0274 memory: 11089 grad_norm: 4.6639 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2849 loss: 1.2849 2022/08/03 18:10:27 - mmengine - INFO - Epoch(train) [109][1780/1879] lr: 2.0000e-03 eta: 19:32:37 time: 0.9063 data_time: 0.0269 memory: 11089 grad_norm: 4.5691 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5166 loss: 1.5166 2022/08/03 18:10:45 - mmengine - INFO - Epoch(train) [109][1800/1879] lr: 2.0000e-03 eta: 19:32:19 time: 0.9086 data_time: 0.0213 memory: 11089 grad_norm: 4.7141 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4073 loss: 1.4073 2022/08/03 18:11:03 - mmengine - INFO - Epoch(train) [109][1820/1879] lr: 2.0000e-03 eta: 19:32:01 time: 0.9224 data_time: 0.0248 memory: 11089 grad_norm: 4.7479 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4109 loss: 1.4109 2022/08/03 18:11:21 - mmengine - INFO - Epoch(train) [109][1840/1879] lr: 2.0000e-03 eta: 19:31:42 time: 0.9026 data_time: 0.0271 memory: 11089 grad_norm: 4.6669 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4216 loss: 1.4216 2022/08/03 18:11:40 - mmengine - INFO - Epoch(train) [109][1860/1879] lr: 2.0000e-03 eta: 19:31:24 time: 0.9193 data_time: 0.0287 memory: 11089 grad_norm: 4.5934 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3787 loss: 1.3787 2022/08/03 18:11:57 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 18:11:57 - mmengine - INFO - Epoch(train) [109][1879/1879] lr: 2.0000e-03 eta: 19:31:24 time: 0.8914 data_time: 0.0304 memory: 11089 grad_norm: 4.8871 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.6061 loss: 1.6061 2022/08/03 18:12:16 - mmengine - INFO - Epoch(train) [110][20/1879] lr: 2.0000e-03 eta: 19:30:43 time: 0.9805 data_time: 0.1085 memory: 11089 grad_norm: 4.6624 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3634 loss: 1.3634 2022/08/03 18:12:35 - mmengine - INFO - Epoch(train) [110][40/1879] lr: 2.0000e-03 eta: 19:30:25 time: 0.9310 data_time: 0.0260 memory: 11089 grad_norm: 4.5650 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3459 loss: 1.3459 2022/08/03 18:12:53 - mmengine - INFO - Epoch(train) [110][60/1879] lr: 2.0000e-03 eta: 19:30:06 time: 0.9305 data_time: 0.0275 memory: 11089 grad_norm: 4.6075 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3105 loss: 1.3105 2022/08/03 18:13:12 - mmengine - INFO - Epoch(train) [110][80/1879] lr: 2.0000e-03 eta: 19:29:48 time: 0.9275 data_time: 0.0280 memory: 11089 grad_norm: 4.6317 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4156 loss: 1.4156 2022/08/03 18:13:30 - mmengine - INFO - Epoch(train) [110][100/1879] lr: 2.0000e-03 eta: 19:29:30 time: 0.8939 data_time: 0.0267 memory: 11089 grad_norm: 4.5695 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4578 loss: 1.4578 2022/08/03 18:13:48 - mmengine - INFO - Epoch(train) [110][120/1879] lr: 2.0000e-03 eta: 19:29:12 time: 0.8961 data_time: 0.0236 memory: 11089 grad_norm: 4.7704 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4062 loss: 1.4062 2022/08/03 18:14:06 - mmengine - INFO - Epoch(train) [110][140/1879] lr: 2.0000e-03 eta: 19:28:53 time: 0.9045 data_time: 0.0303 memory: 11089 grad_norm: 4.6719 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3734 loss: 1.3734 2022/08/03 18:14:25 - mmengine - INFO - Epoch(train) [110][160/1879] lr: 2.0000e-03 eta: 19:28:35 time: 0.9286 data_time: 0.0266 memory: 11089 grad_norm: 4.6106 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5867 loss: 1.5867 2022/08/03 18:14:43 - mmengine - INFO - Epoch(train) [110][180/1879] lr: 2.0000e-03 eta: 19:28:17 time: 0.9452 data_time: 0.0254 memory: 11089 grad_norm: 4.6262 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3251 loss: 1.3251 2022/08/03 18:14:52 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 18:15:02 - mmengine - INFO - Epoch(train) [110][200/1879] lr: 2.0000e-03 eta: 19:27:59 time: 0.9383 data_time: 0.0319 memory: 11089 grad_norm: 4.5178 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3310 loss: 1.3310 2022/08/03 18:15:21 - mmengine - INFO - Epoch(train) [110][220/1879] lr: 2.0000e-03 eta: 19:27:41 time: 0.9171 data_time: 0.0262 memory: 11089 grad_norm: 4.5370 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2615 loss: 1.2615 2022/08/03 18:15:39 - mmengine - INFO - Epoch(train) [110][240/1879] lr: 2.0000e-03 eta: 19:27:23 time: 0.9257 data_time: 0.0371 memory: 11089 grad_norm: 4.5960 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3707 loss: 1.3707 2022/08/03 18:15:58 - mmengine - INFO - Epoch(train) [110][260/1879] lr: 2.0000e-03 eta: 19:27:05 time: 0.9227 data_time: 0.0259 memory: 11089 grad_norm: 4.6554 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4038 loss: 1.4038 2022/08/03 18:16:16 - mmengine - INFO - Epoch(train) [110][280/1879] lr: 2.0000e-03 eta: 19:26:46 time: 0.9208 data_time: 0.0375 memory: 11089 grad_norm: 4.5735 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4529 loss: 1.4529 2022/08/03 18:16:34 - mmengine - INFO - Epoch(train) [110][300/1879] lr: 2.0000e-03 eta: 19:26:28 time: 0.9170 data_time: 0.0271 memory: 11089 grad_norm: 4.5080 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3490 loss: 1.3490 2022/08/03 18:16:53 - mmengine - INFO - Epoch(train) [110][320/1879] lr: 2.0000e-03 eta: 19:26:10 time: 0.9221 data_time: 0.0301 memory: 11089 grad_norm: 4.4859 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2515 loss: 1.2515 2022/08/03 18:17:11 - mmengine - INFO - Epoch(train) [110][340/1879] lr: 2.0000e-03 eta: 19:25:52 time: 0.9148 data_time: 0.0245 memory: 11089 grad_norm: 4.7114 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.3162 loss: 1.3162 2022/08/03 18:17:29 - mmengine - INFO - Epoch(train) [110][360/1879] lr: 2.0000e-03 eta: 19:25:34 time: 0.9074 data_time: 0.0324 memory: 11089 grad_norm: 4.6201 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3659 loss: 1.3659 2022/08/03 18:17:47 - mmengine - INFO - Epoch(train) [110][380/1879] lr: 2.0000e-03 eta: 19:25:15 time: 0.9092 data_time: 0.0260 memory: 11089 grad_norm: 4.5835 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6288 loss: 1.6288 2022/08/03 18:18:06 - mmengine - INFO - Epoch(train) [110][400/1879] lr: 2.0000e-03 eta: 19:24:57 time: 0.9455 data_time: 0.0273 memory: 11089 grad_norm: 4.5172 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2188 loss: 1.2188 2022/08/03 18:18:25 - mmengine - INFO - Epoch(train) [110][420/1879] lr: 2.0000e-03 eta: 19:24:39 time: 0.9118 data_time: 0.0270 memory: 11089 grad_norm: 4.5067 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4606 loss: 1.4606 2022/08/03 18:18:43 - mmengine - INFO - Epoch(train) [110][440/1879] lr: 2.0000e-03 eta: 19:24:21 time: 0.9252 data_time: 0.0321 memory: 11089 grad_norm: 4.7408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2070 loss: 1.2070 2022/08/03 18:19:01 - mmengine - INFO - Epoch(train) [110][460/1879] lr: 2.0000e-03 eta: 19:24:03 time: 0.9124 data_time: 0.0266 memory: 11089 grad_norm: 4.6690 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3437 loss: 1.3437 2022/08/03 18:19:19 - mmengine - INFO - Epoch(train) [110][480/1879] lr: 2.0000e-03 eta: 19:23:44 time: 0.9035 data_time: 0.0288 memory: 11089 grad_norm: 4.5826 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4185 loss: 1.4185 2022/08/03 18:19:37 - mmengine - INFO - Epoch(train) [110][500/1879] lr: 2.0000e-03 eta: 19:23:26 time: 0.8975 data_time: 0.0281 memory: 11089 grad_norm: 4.6020 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2885 loss: 1.2885 2022/08/03 18:19:56 - mmengine - INFO - Epoch(train) [110][520/1879] lr: 2.0000e-03 eta: 19:23:08 time: 0.9199 data_time: 0.0267 memory: 11089 grad_norm: 4.5402 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2816 loss: 1.2816 2022/08/03 18:20:14 - mmengine - INFO - Epoch(train) [110][540/1879] lr: 2.0000e-03 eta: 19:22:50 time: 0.9158 data_time: 0.0312 memory: 11089 grad_norm: 4.7093 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4427 loss: 1.4427 2022/08/03 18:20:32 - mmengine - INFO - Epoch(train) [110][560/1879] lr: 2.0000e-03 eta: 19:22:31 time: 0.9135 data_time: 0.0221 memory: 11089 grad_norm: 4.7284 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.2676 loss: 1.2676 2022/08/03 18:20:51 - mmengine - INFO - Epoch(train) [110][580/1879] lr: 2.0000e-03 eta: 19:22:13 time: 0.9262 data_time: 0.0299 memory: 11089 grad_norm: 4.6573 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3439 loss: 1.3439 2022/08/03 18:21:09 - mmengine - INFO - Epoch(train) [110][600/1879] lr: 2.0000e-03 eta: 19:21:55 time: 0.8939 data_time: 0.0274 memory: 11089 grad_norm: 4.5639 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2303 loss: 1.2303 2022/08/03 18:21:27 - mmengine - INFO - Epoch(train) [110][620/1879] lr: 2.0000e-03 eta: 19:21:36 time: 0.8881 data_time: 0.0241 memory: 11089 grad_norm: 4.6382 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2555 loss: 1.2555 2022/08/03 18:21:45 - mmengine - INFO - Epoch(train) [110][640/1879] lr: 2.0000e-03 eta: 19:21:18 time: 0.9283 data_time: 0.0347 memory: 11089 grad_norm: 4.5242 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3718 loss: 1.3718 2022/08/03 18:22:04 - mmengine - INFO - Epoch(train) [110][660/1879] lr: 2.0000e-03 eta: 19:21:00 time: 0.9228 data_time: 0.0222 memory: 11089 grad_norm: 4.6550 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.4511 loss: 1.4511 2022/08/03 18:22:22 - mmengine - INFO - Epoch(train) [110][680/1879] lr: 2.0000e-03 eta: 19:20:42 time: 0.9186 data_time: 0.0302 memory: 11089 grad_norm: 4.7333 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6599 loss: 1.6599 2022/08/03 18:22:40 - mmengine - INFO - Epoch(train) [110][700/1879] lr: 2.0000e-03 eta: 19:20:24 time: 0.9130 data_time: 0.0251 memory: 11089 grad_norm: 4.5765 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4822 loss: 1.4822 2022/08/03 18:22:58 - mmengine - INFO - Epoch(train) [110][720/1879] lr: 2.0000e-03 eta: 19:20:05 time: 0.8992 data_time: 0.0229 memory: 11089 grad_norm: 4.5751 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3662 loss: 1.3662 2022/08/03 18:23:17 - mmengine - INFO - Epoch(train) [110][740/1879] lr: 2.0000e-03 eta: 19:19:47 time: 0.9165 data_time: 0.0334 memory: 11089 grad_norm: 4.7512 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3699 loss: 1.3699 2022/08/03 18:23:35 - mmengine - INFO - Epoch(train) [110][760/1879] lr: 2.0000e-03 eta: 19:19:29 time: 0.9252 data_time: 0.0369 memory: 11089 grad_norm: 4.7408 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2934 loss: 1.2934 2022/08/03 18:23:54 - mmengine - INFO - Epoch(train) [110][780/1879] lr: 2.0000e-03 eta: 19:19:11 time: 0.9310 data_time: 0.0281 memory: 11089 grad_norm: 4.7935 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4542 loss: 1.4542 2022/08/03 18:24:12 - mmengine - INFO - Epoch(train) [110][800/1879] lr: 2.0000e-03 eta: 19:18:53 time: 0.9256 data_time: 0.0260 memory: 11089 grad_norm: 4.6639 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4628 loss: 1.4628 2022/08/03 18:24:31 - mmengine - INFO - Epoch(train) [110][820/1879] lr: 2.0000e-03 eta: 19:18:35 time: 0.9172 data_time: 0.0295 memory: 11089 grad_norm: 4.5556 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3959 loss: 1.3959 2022/08/03 18:24:49 - mmengine - INFO - Epoch(train) [110][840/1879] lr: 2.0000e-03 eta: 19:18:17 time: 0.9310 data_time: 0.0258 memory: 11089 grad_norm: 4.5885 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2487 loss: 1.2487 2022/08/03 18:25:07 - mmengine - INFO - Epoch(train) [110][860/1879] lr: 2.0000e-03 eta: 19:17:58 time: 0.9093 data_time: 0.0322 memory: 11089 grad_norm: 4.6973 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4015 loss: 1.4015 2022/08/03 18:25:26 - mmengine - INFO - Epoch(train) [110][880/1879] lr: 2.0000e-03 eta: 19:17:40 time: 0.9299 data_time: 0.0262 memory: 11089 grad_norm: 4.6862 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3413 loss: 1.3413 2022/08/03 18:25:45 - mmengine - INFO - Epoch(train) [110][900/1879] lr: 2.0000e-03 eta: 19:17:22 time: 0.9282 data_time: 0.0285 memory: 11089 grad_norm: 4.5161 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3413 loss: 1.3413 2022/08/03 18:26:03 - mmengine - INFO - Epoch(train) [110][920/1879] lr: 2.0000e-03 eta: 19:17:04 time: 0.9224 data_time: 0.0314 memory: 11089 grad_norm: 4.7403 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4327 loss: 1.4327 2022/08/03 18:26:21 - mmengine - INFO - Epoch(train) [110][940/1879] lr: 2.0000e-03 eta: 19:16:46 time: 0.9199 data_time: 0.0257 memory: 11089 grad_norm: 4.4012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1917 loss: 1.1917 2022/08/03 18:26:40 - mmengine - INFO - Epoch(train) [110][960/1879] lr: 2.0000e-03 eta: 19:16:28 time: 0.9207 data_time: 0.0273 memory: 11089 grad_norm: 4.5760 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3790 loss: 1.3790 2022/08/03 18:26:58 - mmengine - INFO - Epoch(train) [110][980/1879] lr: 2.0000e-03 eta: 19:16:09 time: 0.9234 data_time: 0.0285 memory: 11089 grad_norm: 4.5842 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2703 loss: 1.2703 2022/08/03 18:27:17 - mmengine - INFO - Epoch(train) [110][1000/1879] lr: 2.0000e-03 eta: 19:15:51 time: 0.9343 data_time: 0.0328 memory: 11089 grad_norm: 4.6159 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5502 loss: 1.5502 2022/08/03 18:27:36 - mmengine - INFO - Epoch(train) [110][1020/1879] lr: 2.0000e-03 eta: 19:15:33 time: 0.9287 data_time: 0.0292 memory: 11089 grad_norm: 4.5868 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4627 loss: 1.4627 2022/08/03 18:27:54 - mmengine - INFO - Epoch(train) [110][1040/1879] lr: 2.0000e-03 eta: 19:15:15 time: 0.9093 data_time: 0.0246 memory: 11089 grad_norm: 4.6445 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2447 loss: 1.2447 2022/08/03 18:28:12 - mmengine - INFO - Epoch(train) [110][1060/1879] lr: 2.0000e-03 eta: 19:14:57 time: 0.9290 data_time: 0.0275 memory: 11089 grad_norm: 4.7155 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3645 loss: 1.3645 2022/08/03 18:28:31 - mmengine - INFO - Epoch(train) [110][1080/1879] lr: 2.0000e-03 eta: 19:14:39 time: 0.9306 data_time: 0.0277 memory: 11089 grad_norm: 4.8568 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3854 loss: 1.3854 2022/08/03 18:28:49 - mmengine - INFO - Epoch(train) [110][1100/1879] lr: 2.0000e-03 eta: 19:14:20 time: 0.9125 data_time: 0.0259 memory: 11089 grad_norm: 4.7555 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4303 loss: 1.4303 2022/08/03 18:29:08 - mmengine - INFO - Epoch(train) [110][1120/1879] lr: 2.0000e-03 eta: 19:14:02 time: 0.9212 data_time: 0.0257 memory: 11089 grad_norm: 4.7172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3767 loss: 1.3767 2022/08/03 18:29:26 - mmengine - INFO - Epoch(train) [110][1140/1879] lr: 2.0000e-03 eta: 19:13:44 time: 0.9245 data_time: 0.0239 memory: 11089 grad_norm: 4.7498 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4163 loss: 1.4163 2022/08/03 18:29:44 - mmengine - INFO - Epoch(train) [110][1160/1879] lr: 2.0000e-03 eta: 19:13:26 time: 0.9158 data_time: 0.0261 memory: 11089 grad_norm: 4.5589 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1900 loss: 1.1900 2022/08/03 18:30:03 - mmengine - INFO - Epoch(train) [110][1180/1879] lr: 2.0000e-03 eta: 19:13:08 time: 0.9204 data_time: 0.0253 memory: 11089 grad_norm: 4.6995 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3324 loss: 1.3324 2022/08/03 18:30:11 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 18:30:22 - mmengine - INFO - Epoch(train) [110][1200/1879] lr: 2.0000e-03 eta: 19:12:50 time: 0.9391 data_time: 0.0319 memory: 11089 grad_norm: 4.5828 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3098 loss: 1.3098 2022/08/03 18:30:40 - mmengine - INFO - Epoch(train) [110][1220/1879] lr: 2.0000e-03 eta: 19:12:31 time: 0.9111 data_time: 0.0219 memory: 11089 grad_norm: 4.5729 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3231 loss: 1.3231 2022/08/03 18:30:58 - mmengine - INFO - Epoch(train) [110][1240/1879] lr: 2.0000e-03 eta: 19:12:13 time: 0.9119 data_time: 0.0322 memory: 11089 grad_norm: 4.6289 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3353 loss: 1.3353 2022/08/03 18:31:16 - mmengine - INFO - Epoch(train) [110][1260/1879] lr: 2.0000e-03 eta: 19:11:55 time: 0.9055 data_time: 0.0242 memory: 11089 grad_norm: 4.6883 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5587 loss: 1.5587 2022/08/03 18:31:35 - mmengine - INFO - Epoch(train) [110][1280/1879] lr: 2.0000e-03 eta: 19:11:37 time: 0.9183 data_time: 0.0302 memory: 11089 grad_norm: 4.6822 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3711 loss: 1.3711 2022/08/03 18:31:53 - mmengine - INFO - Epoch(train) [110][1300/1879] lr: 2.0000e-03 eta: 19:11:19 time: 0.9307 data_time: 0.0325 memory: 11089 grad_norm: 4.6250 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4682 loss: 1.4682 2022/08/03 18:32:12 - mmengine - INFO - Epoch(train) [110][1320/1879] lr: 2.0000e-03 eta: 19:11:01 time: 0.9370 data_time: 0.0283 memory: 11089 grad_norm: 4.5900 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4885 loss: 1.4885 2022/08/03 18:32:30 - mmengine - INFO - Epoch(train) [110][1340/1879] lr: 2.0000e-03 eta: 19:10:42 time: 0.9087 data_time: 0.0263 memory: 11089 grad_norm: 4.6425 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4639 loss: 1.4639 2022/08/03 18:32:48 - mmengine - INFO - Epoch(train) [110][1360/1879] lr: 2.0000e-03 eta: 19:10:24 time: 0.9096 data_time: 0.0271 memory: 11089 grad_norm: 4.7091 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3590 loss: 1.3590 2022/08/03 18:33:07 - mmengine - INFO - Epoch(train) [110][1380/1879] lr: 2.0000e-03 eta: 19:10:06 time: 0.9254 data_time: 0.0267 memory: 11089 grad_norm: 4.7785 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3089 loss: 1.3089 2022/08/03 18:33:25 - mmengine - INFO - Epoch(train) [110][1400/1879] lr: 2.0000e-03 eta: 19:09:47 time: 0.8925 data_time: 0.0292 memory: 11089 grad_norm: 4.7750 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5572 loss: 1.5572 2022/08/03 18:33:44 - mmengine - INFO - Epoch(train) [110][1420/1879] lr: 2.0000e-03 eta: 19:09:30 time: 0.9617 data_time: 0.0342 memory: 11089 grad_norm: 4.7915 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2903 loss: 1.2903 2022/08/03 18:34:03 - mmengine - INFO - Epoch(train) [110][1440/1879] lr: 2.0000e-03 eta: 19:09:12 time: 0.9338 data_time: 0.0396 memory: 11089 grad_norm: 4.6855 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1801 loss: 1.1801 2022/08/03 18:34:21 - mmengine - INFO - Epoch(train) [110][1460/1879] lr: 2.0000e-03 eta: 19:08:53 time: 0.9336 data_time: 0.0228 memory: 11089 grad_norm: 4.6595 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4490 loss: 1.4490 2022/08/03 18:34:40 - mmengine - INFO - Epoch(train) [110][1480/1879] lr: 2.0000e-03 eta: 19:08:35 time: 0.9411 data_time: 0.0348 memory: 11089 grad_norm: 4.6850 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4883 loss: 1.4883 2022/08/03 18:34:58 - mmengine - INFO - Epoch(train) [110][1500/1879] lr: 2.0000e-03 eta: 19:08:17 time: 0.9066 data_time: 0.0366 memory: 11089 grad_norm: 4.6574 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4829 loss: 1.4829 2022/08/03 18:35:17 - mmengine - INFO - Epoch(train) [110][1520/1879] lr: 2.0000e-03 eta: 19:07:59 time: 0.9121 data_time: 0.0246 memory: 11089 grad_norm: 4.6256 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4289 loss: 1.4289 2022/08/03 18:35:35 - mmengine - INFO - Epoch(train) [110][1540/1879] lr: 2.0000e-03 eta: 19:07:41 time: 0.9170 data_time: 0.0314 memory: 11089 grad_norm: 4.6937 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3794 loss: 1.3794 2022/08/03 18:35:53 - mmengine - INFO - Epoch(train) [110][1560/1879] lr: 2.0000e-03 eta: 19:07:23 time: 0.9197 data_time: 0.0270 memory: 11089 grad_norm: 4.6003 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3981 loss: 1.3981 2022/08/03 18:36:12 - mmengine - INFO - Epoch(train) [110][1580/1879] lr: 2.0000e-03 eta: 19:07:04 time: 0.9323 data_time: 0.0323 memory: 11089 grad_norm: 4.7069 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3443 loss: 1.3443 2022/08/03 18:36:30 - mmengine - INFO - Epoch(train) [110][1600/1879] lr: 2.0000e-03 eta: 19:06:46 time: 0.9268 data_time: 0.0339 memory: 11089 grad_norm: 4.7322 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4272 loss: 1.4272 2022/08/03 18:36:49 - mmengine - INFO - Epoch(train) [110][1620/1879] lr: 2.0000e-03 eta: 19:06:28 time: 0.9052 data_time: 0.0282 memory: 11089 grad_norm: 4.7128 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3671 loss: 1.3671 2022/08/03 18:37:07 - mmengine - INFO - Epoch(train) [110][1640/1879] lr: 2.0000e-03 eta: 19:06:10 time: 0.9149 data_time: 0.0209 memory: 11089 grad_norm: 4.6317 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3134 loss: 1.3134 2022/08/03 18:37:25 - mmengine - INFO - Epoch(train) [110][1660/1879] lr: 2.0000e-03 eta: 19:05:51 time: 0.9091 data_time: 0.0202 memory: 11089 grad_norm: 4.7196 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2984 loss: 1.2984 2022/08/03 18:37:43 - mmengine - INFO - Epoch(train) [110][1680/1879] lr: 2.0000e-03 eta: 19:05:33 time: 0.9160 data_time: 0.0234 memory: 11089 grad_norm: 4.7350 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2899 loss: 1.2899 2022/08/03 18:38:02 - mmengine - INFO - Epoch(train) [110][1700/1879] lr: 2.0000e-03 eta: 19:05:15 time: 0.9128 data_time: 0.0255 memory: 11089 grad_norm: 4.6320 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2058 loss: 1.2058 2022/08/03 18:38:20 - mmengine - INFO - Epoch(train) [110][1720/1879] lr: 2.0000e-03 eta: 19:04:57 time: 0.9257 data_time: 0.0291 memory: 11089 grad_norm: 4.8320 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6078 loss: 1.6078 2022/08/03 18:38:38 - mmengine - INFO - Epoch(train) [110][1740/1879] lr: 2.0000e-03 eta: 19:04:39 time: 0.9037 data_time: 0.0264 memory: 11089 grad_norm: 4.6294 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4987 loss: 1.4987 2022/08/03 18:38:57 - mmengine - INFO - Epoch(train) [110][1760/1879] lr: 2.0000e-03 eta: 19:04:21 time: 0.9319 data_time: 0.0277 memory: 11089 grad_norm: 4.7197 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4600 loss: 1.4600 2022/08/03 18:39:15 - mmengine - INFO - Epoch(train) [110][1780/1879] lr: 2.0000e-03 eta: 19:04:02 time: 0.9205 data_time: 0.0236 memory: 11089 grad_norm: 4.6893 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4830 loss: 1.4830 2022/08/03 18:39:34 - mmengine - INFO - Epoch(train) [110][1800/1879] lr: 2.0000e-03 eta: 19:03:44 time: 0.9242 data_time: 0.0309 memory: 11089 grad_norm: 4.5871 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2866 loss: 1.2866 2022/08/03 18:39:52 - mmengine - INFO - Epoch(train) [110][1820/1879] lr: 2.0000e-03 eta: 19:03:26 time: 0.9067 data_time: 0.0231 memory: 11089 grad_norm: 4.6498 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3785 loss: 1.3785 2022/08/03 18:40:10 - mmengine - INFO - Epoch(train) [110][1840/1879] lr: 2.0000e-03 eta: 19:03:08 time: 0.9111 data_time: 0.0304 memory: 11089 grad_norm: 4.7998 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3921 loss: 1.3921 2022/08/03 18:40:29 - mmengine - INFO - Epoch(train) [110][1860/1879] lr: 2.0000e-03 eta: 19:02:49 time: 0.9171 data_time: 0.0324 memory: 11089 grad_norm: 4.6861 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3296 loss: 1.3296 2022/08/03 18:40:46 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 18:40:46 - mmengine - INFO - Epoch(train) [110][1879/1879] lr: 2.0000e-03 eta: 19:02:49 time: 0.8976 data_time: 0.0212 memory: 11089 grad_norm: 4.7495 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.3581 loss: 1.3581 2022/08/03 18:40:54 - mmengine - INFO - Epoch(val) [110][20/155] eta: 0:00:59 time: 0.4375 data_time: 0.1243 memory: 1950 2022/08/03 18:41:01 - mmengine - INFO - Epoch(val) [110][40/155] eta: 0:00:38 time: 0.3324 data_time: 0.0113 memory: 1950 2022/08/03 18:41:08 - mmengine - INFO - Epoch(val) [110][60/155] eta: 0:00:31 time: 0.3266 data_time: 0.0136 memory: 1950 2022/08/03 18:41:14 - mmengine - INFO - Epoch(val) [110][80/155] eta: 0:00:24 time: 0.3241 data_time: 0.0112 memory: 1950 2022/08/03 18:41:21 - mmengine - INFO - Epoch(val) [110][100/155] eta: 0:00:18 time: 0.3368 data_time: 0.0126 memory: 1950 2022/08/03 18:41:28 - mmengine - INFO - Epoch(val) [110][120/155] eta: 0:00:11 time: 0.3421 data_time: 0.0135 memory: 1950 2022/08/03 18:41:36 - mmengine - INFO - Epoch(val) [110][140/155] eta: 0:00:05 time: 0.3935 data_time: 0.0100 memory: 1950 2022/08/03 18:41:43 - mmengine - INFO - Epoch(val) [110][155/155] acc/top1: 0.6857 acc/top5: 0.8771 acc/mean1: 0.6856 2022/08/03 18:41:43 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb/best_acc/top1_epoch_106.pth is removed 2022/08/03 18:41:45 - mmengine - INFO - The best checkpoint with 0.6857 acc/top1 at 111 epoch is saved to best_acc/top1_epoch_111.pth. 2022/08/03 18:42:05 - mmengine - INFO - Epoch(train) [111][20/1879] lr: 2.0000e-03 eta: 19:02:08 time: 1.0060 data_time: 0.1079 memory: 11089 grad_norm: 4.5665 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4541 loss: 1.4541 2022/08/03 18:42:23 - mmengine - INFO - Epoch(train) [111][40/1879] lr: 2.0000e-03 eta: 19:01:50 time: 0.9137 data_time: 0.0263 memory: 11089 grad_norm: 4.8597 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4523 loss: 1.4523 2022/08/03 18:42:42 - mmengine - INFO - Epoch(train) [111][60/1879] lr: 2.0000e-03 eta: 19:01:32 time: 0.9200 data_time: 0.0295 memory: 11089 grad_norm: 4.5972 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2570 loss: 1.2570 2022/08/03 18:43:00 - mmengine - INFO - Epoch(train) [111][80/1879] lr: 2.0000e-03 eta: 19:01:14 time: 0.8997 data_time: 0.0260 memory: 11089 grad_norm: 4.6896 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2897 loss: 1.2897 2022/08/03 18:43:19 - mmengine - INFO - Epoch(train) [111][100/1879] lr: 2.0000e-03 eta: 19:00:55 time: 0.9382 data_time: 0.0299 memory: 11089 grad_norm: 4.6057 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1583 loss: 1.1583 2022/08/03 18:43:37 - mmengine - INFO - Epoch(train) [111][120/1879] lr: 2.0000e-03 eta: 19:00:37 time: 0.9265 data_time: 0.0309 memory: 11089 grad_norm: 4.7344 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4491 loss: 1.4491 2022/08/03 18:43:55 - mmengine - INFO - Epoch(train) [111][140/1879] lr: 2.0000e-03 eta: 19:00:19 time: 0.9079 data_time: 0.0251 memory: 11089 grad_norm: 4.7981 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4398 loss: 1.4398 2022/08/03 18:44:14 - mmengine - INFO - Epoch(train) [111][160/1879] lr: 2.0000e-03 eta: 19:00:01 time: 0.9187 data_time: 0.0272 memory: 11089 grad_norm: 4.8435 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4276 loss: 1.4276 2022/08/03 18:44:31 - mmengine - INFO - Epoch(train) [111][180/1879] lr: 2.0000e-03 eta: 18:59:42 time: 0.8861 data_time: 0.0232 memory: 11089 grad_norm: 4.6759 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2482 loss: 1.2482 2022/08/03 18:44:50 - mmengine - INFO - Epoch(train) [111][200/1879] lr: 2.0000e-03 eta: 18:59:24 time: 0.9310 data_time: 0.0258 memory: 11089 grad_norm: 4.7404 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3440 loss: 1.3440 2022/08/03 18:45:09 - mmengine - INFO - Epoch(train) [111][220/1879] lr: 2.0000e-03 eta: 18:59:06 time: 0.9277 data_time: 0.0293 memory: 11089 grad_norm: 4.6890 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2173 loss: 1.2173 2022/08/03 18:45:26 - mmengine - INFO - Epoch(train) [111][240/1879] lr: 2.0000e-03 eta: 18:58:48 time: 0.8930 data_time: 0.0203 memory: 11089 grad_norm: 4.6840 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2538 loss: 1.2538 2022/08/03 18:45:45 - mmengine - INFO - Epoch(train) [111][260/1879] lr: 2.0000e-03 eta: 18:58:30 time: 0.9194 data_time: 0.0235 memory: 11089 grad_norm: 4.6358 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5538 loss: 1.5538 2022/08/03 18:46:04 - mmengine - INFO - Epoch(train) [111][280/1879] lr: 2.0000e-03 eta: 18:58:12 time: 0.9584 data_time: 0.0401 memory: 11089 grad_norm: 4.6745 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2244 loss: 1.2244 2022/08/03 18:46:22 - mmengine - INFO - Epoch(train) [111][300/1879] lr: 2.0000e-03 eta: 18:57:54 time: 0.9183 data_time: 0.0332 memory: 11089 grad_norm: 4.7157 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2399 loss: 1.2399 2022/08/03 18:46:31 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 18:46:40 - mmengine - INFO - Epoch(train) [111][320/1879] lr: 2.0000e-03 eta: 18:57:35 time: 0.9026 data_time: 0.0258 memory: 11089 grad_norm: 4.6899 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2732 loss: 1.2732 2022/08/03 18:46:59 - mmengine - INFO - Epoch(train) [111][340/1879] lr: 2.0000e-03 eta: 18:57:17 time: 0.9227 data_time: 0.0346 memory: 11089 grad_norm: 4.6117 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3038 loss: 1.3038 2022/08/03 18:47:18 - mmengine - INFO - Epoch(train) [111][360/1879] lr: 2.0000e-03 eta: 18:56:59 time: 0.9522 data_time: 0.0352 memory: 11089 grad_norm: 4.7411 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1882 loss: 1.1882 2022/08/03 18:47:37 - mmengine - INFO - Epoch(train) [111][380/1879] lr: 2.0000e-03 eta: 18:56:41 time: 0.9383 data_time: 0.0358 memory: 11089 grad_norm: 4.6793 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2577 loss: 1.2577 2022/08/03 18:47:55 - mmengine - INFO - Epoch(train) [111][400/1879] lr: 2.0000e-03 eta: 18:56:23 time: 0.9234 data_time: 0.0305 memory: 11089 grad_norm: 4.7167 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3647 loss: 1.3647 2022/08/03 18:48:14 - mmengine - INFO - Epoch(train) [111][420/1879] lr: 2.0000e-03 eta: 18:56:05 time: 0.9409 data_time: 0.0407 memory: 11089 grad_norm: 4.7915 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3952 loss: 1.3952 2022/08/03 18:48:33 - mmengine - INFO - Epoch(train) [111][440/1879] lr: 2.0000e-03 eta: 18:55:47 time: 0.9286 data_time: 0.0251 memory: 11089 grad_norm: 4.7678 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4818 loss: 1.4818 2022/08/03 18:48:51 - mmengine - INFO - Epoch(train) [111][460/1879] lr: 2.0000e-03 eta: 18:55:29 time: 0.9310 data_time: 0.0295 memory: 11089 grad_norm: 4.6432 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4889 loss: 1.4889 2022/08/03 18:49:10 - mmengine - INFO - Epoch(train) [111][480/1879] lr: 2.0000e-03 eta: 18:55:11 time: 0.9336 data_time: 0.0324 memory: 11089 grad_norm: 4.6374 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2649 loss: 1.2649 2022/08/03 18:49:29 - mmengine - INFO - Epoch(train) [111][500/1879] lr: 2.0000e-03 eta: 18:54:52 time: 0.9336 data_time: 0.0216 memory: 11089 grad_norm: 4.7830 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4366 loss: 1.4366 2022/08/03 18:49:47 - mmengine - INFO - Epoch(train) [111][520/1879] lr: 2.0000e-03 eta: 18:54:34 time: 0.9235 data_time: 0.0284 memory: 11089 grad_norm: 4.7859 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4557 loss: 1.4557 2022/08/03 18:50:05 - mmengine - INFO - Epoch(train) [111][540/1879] lr: 2.0000e-03 eta: 18:54:16 time: 0.9038 data_time: 0.0308 memory: 11089 grad_norm: 4.5870 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2010 loss: 1.2010 2022/08/03 18:50:24 - mmengine - INFO - Epoch(train) [111][560/1879] lr: 2.0000e-03 eta: 18:53:58 time: 0.9249 data_time: 0.0233 memory: 11089 grad_norm: 4.7356 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.3240 loss: 1.3240 2022/08/03 18:50:42 - mmengine - INFO - Epoch(train) [111][580/1879] lr: 2.0000e-03 eta: 18:53:40 time: 0.9279 data_time: 0.0288 memory: 11089 grad_norm: 4.6574 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3329 loss: 1.3329 2022/08/03 18:51:01 - mmengine - INFO - Epoch(train) [111][600/1879] lr: 2.0000e-03 eta: 18:53:22 time: 0.9153 data_time: 0.0353 memory: 11089 grad_norm: 4.6560 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1798 loss: 1.1798 2022/08/03 18:51:19 - mmengine - INFO - Epoch(train) [111][620/1879] lr: 2.0000e-03 eta: 18:53:03 time: 0.9234 data_time: 0.0238 memory: 11089 grad_norm: 4.8249 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5570 loss: 1.5570 2022/08/03 18:51:37 - mmengine - INFO - Epoch(train) [111][640/1879] lr: 2.0000e-03 eta: 18:52:45 time: 0.9115 data_time: 0.0301 memory: 11089 grad_norm: 4.7649 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3250 loss: 1.3250 2022/08/03 18:51:55 - mmengine - INFO - Epoch(train) [111][660/1879] lr: 2.0000e-03 eta: 18:52:27 time: 0.9014 data_time: 0.0247 memory: 11089 grad_norm: 4.7742 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2902 loss: 1.2902 2022/08/03 18:52:14 - mmengine - INFO - Epoch(train) [111][680/1879] lr: 2.0000e-03 eta: 18:52:09 time: 0.9121 data_time: 0.0205 memory: 11089 grad_norm: 4.7231 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4257 loss: 1.4257 2022/08/03 18:52:32 - mmengine - INFO - Epoch(train) [111][700/1879] lr: 2.0000e-03 eta: 18:51:50 time: 0.9164 data_time: 0.0259 memory: 11089 grad_norm: 4.7593 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3114 loss: 1.3114 2022/08/03 18:52:50 - mmengine - INFO - Epoch(train) [111][720/1879] lr: 2.0000e-03 eta: 18:51:32 time: 0.9113 data_time: 0.0232 memory: 11089 grad_norm: 4.5668 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2257 loss: 1.2257 2022/08/03 18:53:08 - mmengine - INFO - Epoch(train) [111][740/1879] lr: 2.0000e-03 eta: 18:51:14 time: 0.9041 data_time: 0.0266 memory: 11089 grad_norm: 4.6477 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.5441 loss: 1.5441 2022/08/03 18:53:27 - mmengine - INFO - Epoch(train) [111][760/1879] lr: 2.0000e-03 eta: 18:50:56 time: 0.9264 data_time: 0.0284 memory: 11089 grad_norm: 4.6209 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4190 loss: 1.4190 2022/08/03 18:53:45 - mmengine - INFO - Epoch(train) [111][780/1879] lr: 2.0000e-03 eta: 18:50:37 time: 0.9169 data_time: 0.0240 memory: 11089 grad_norm: 4.6761 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4178 loss: 1.4178 2022/08/03 18:54:03 - mmengine - INFO - Epoch(train) [111][800/1879] lr: 2.0000e-03 eta: 18:50:19 time: 0.9155 data_time: 0.0267 memory: 11089 grad_norm: 4.6276 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3009 loss: 1.3009 2022/08/03 18:54:21 - mmengine - INFO - Epoch(train) [111][820/1879] lr: 2.0000e-03 eta: 18:50:01 time: 0.8895 data_time: 0.0183 memory: 11089 grad_norm: 4.6873 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3307 loss: 1.3307 2022/08/03 18:54:39 - mmengine - INFO - Epoch(train) [111][840/1879] lr: 2.0000e-03 eta: 18:49:43 time: 0.9094 data_time: 0.0226 memory: 11089 grad_norm: 4.8068 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4480 loss: 1.4480 2022/08/03 18:54:57 - mmengine - INFO - Epoch(train) [111][860/1879] lr: 2.0000e-03 eta: 18:49:24 time: 0.9063 data_time: 0.0304 memory: 11089 grad_norm: 4.7014 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4471 loss: 1.4471 2022/08/03 18:55:16 - mmengine - INFO - Epoch(train) [111][880/1879] lr: 2.0000e-03 eta: 18:49:06 time: 0.9210 data_time: 0.0310 memory: 11089 grad_norm: 4.7111 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1849 loss: 1.1849 2022/08/03 18:55:34 - mmengine - INFO - Epoch(train) [111][900/1879] lr: 2.0000e-03 eta: 18:48:48 time: 0.9037 data_time: 0.0303 memory: 11089 grad_norm: 4.7881 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4670 loss: 1.4670 2022/08/03 18:55:52 - mmengine - INFO - Epoch(train) [111][920/1879] lr: 2.0000e-03 eta: 18:48:30 time: 0.9146 data_time: 0.0309 memory: 11089 grad_norm: 4.8577 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3346 loss: 1.3346 2022/08/03 18:56:11 - mmengine - INFO - Epoch(train) [111][940/1879] lr: 2.0000e-03 eta: 18:48:11 time: 0.9153 data_time: 0.0323 memory: 11089 grad_norm: 4.7165 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3938 loss: 1.3938 2022/08/03 18:56:29 - mmengine - INFO - Epoch(train) [111][960/1879] lr: 2.0000e-03 eta: 18:47:53 time: 0.9307 data_time: 0.0330 memory: 11089 grad_norm: 4.7524 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3047 loss: 1.3047 2022/08/03 18:56:47 - mmengine - INFO - Epoch(train) [111][980/1879] lr: 2.0000e-03 eta: 18:47:35 time: 0.9024 data_time: 0.0274 memory: 11089 grad_norm: 4.7747 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4104 loss: 1.4104 2022/08/03 18:57:06 - mmengine - INFO - Epoch(train) [111][1000/1879] lr: 2.0000e-03 eta: 18:47:17 time: 0.9235 data_time: 0.0344 memory: 11089 grad_norm: 4.7279 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2987 loss: 1.2987 2022/08/03 18:57:24 - mmengine - INFO - Epoch(train) [111][1020/1879] lr: 2.0000e-03 eta: 18:46:59 time: 0.9136 data_time: 0.0285 memory: 11089 grad_norm: 4.7125 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2632 loss: 1.2632 2022/08/03 18:57:43 - mmengine - INFO - Epoch(train) [111][1040/1879] lr: 2.0000e-03 eta: 18:46:41 time: 0.9376 data_time: 0.0264 memory: 11089 grad_norm: 4.8515 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4668 loss: 1.4668 2022/08/03 18:58:01 - mmengine - INFO - Epoch(train) [111][1060/1879] lr: 2.0000e-03 eta: 18:46:22 time: 0.9259 data_time: 0.0321 memory: 11089 grad_norm: 4.6821 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2550 loss: 1.2550 2022/08/03 18:58:19 - mmengine - INFO - Epoch(train) [111][1080/1879] lr: 2.0000e-03 eta: 18:46:04 time: 0.9000 data_time: 0.0274 memory: 11089 grad_norm: 4.6586 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2043 loss: 1.2043 2022/08/03 18:58:37 - mmengine - INFO - Epoch(train) [111][1100/1879] lr: 2.0000e-03 eta: 18:45:46 time: 0.8954 data_time: 0.0218 memory: 11089 grad_norm: 4.7035 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2288 loss: 1.2288 2022/08/03 18:58:56 - mmengine - INFO - Epoch(train) [111][1120/1879] lr: 2.0000e-03 eta: 18:45:28 time: 0.9371 data_time: 0.0393 memory: 11089 grad_norm: 4.7968 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4296 loss: 1.4296 2022/08/03 18:59:14 - mmengine - INFO - Epoch(train) [111][1140/1879] lr: 2.0000e-03 eta: 18:45:09 time: 0.9139 data_time: 0.0290 memory: 11089 grad_norm: 4.7379 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.4261 loss: 1.4261 2022/08/03 18:59:32 - mmengine - INFO - Epoch(train) [111][1160/1879] lr: 2.0000e-03 eta: 18:44:51 time: 0.9078 data_time: 0.0230 memory: 11089 grad_norm: 4.6024 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3421 loss: 1.3421 2022/08/03 18:59:50 - mmengine - INFO - Epoch(train) [111][1180/1879] lr: 2.0000e-03 eta: 18:44:33 time: 0.9030 data_time: 0.0226 memory: 11089 grad_norm: 4.6201 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3789 loss: 1.3789 2022/08/03 19:00:09 - mmengine - INFO - Epoch(train) [111][1200/1879] lr: 2.0000e-03 eta: 18:44:15 time: 0.9211 data_time: 0.0260 memory: 11089 grad_norm: 4.8039 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2827 loss: 1.2827 2022/08/03 19:00:27 - mmengine - INFO - Epoch(train) [111][1220/1879] lr: 2.0000e-03 eta: 18:43:56 time: 0.9058 data_time: 0.0226 memory: 11089 grad_norm: 4.8664 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2843 loss: 1.2843 2022/08/03 19:00:45 - mmengine - INFO - Epoch(train) [111][1240/1879] lr: 2.0000e-03 eta: 18:43:38 time: 0.9151 data_time: 0.0215 memory: 11089 grad_norm: 4.7051 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3382 loss: 1.3382 2022/08/03 19:01:04 - mmengine - INFO - Epoch(train) [111][1260/1879] lr: 2.0000e-03 eta: 18:43:20 time: 0.9132 data_time: 0.0304 memory: 11089 grad_norm: 4.5366 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2716 loss: 1.2716 2022/08/03 19:01:22 - mmengine - INFO - Epoch(train) [111][1280/1879] lr: 2.0000e-03 eta: 18:43:02 time: 0.9079 data_time: 0.0277 memory: 11089 grad_norm: 4.7431 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4021 loss: 1.4021 2022/08/03 19:01:40 - mmengine - INFO - Epoch(train) [111][1300/1879] lr: 2.0000e-03 eta: 18:42:43 time: 0.9012 data_time: 0.0249 memory: 11089 grad_norm: 4.7389 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2001 loss: 1.2001 2022/08/03 19:01:49 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 19:01:58 - mmengine - INFO - Epoch(train) [111][1320/1879] lr: 2.0000e-03 eta: 18:42:25 time: 0.9148 data_time: 0.0244 memory: 11089 grad_norm: 4.7667 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.3766 loss: 1.3766 2022/08/03 19:02:16 - mmengine - INFO - Epoch(train) [111][1340/1879] lr: 2.0000e-03 eta: 18:42:07 time: 0.9142 data_time: 0.0297 memory: 11089 grad_norm: 4.7709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3159 loss: 1.3159 2022/08/03 19:02:35 - mmengine - INFO - Epoch(train) [111][1360/1879] lr: 2.0000e-03 eta: 18:41:49 time: 0.9202 data_time: 0.0278 memory: 11089 grad_norm: 4.7667 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2905 loss: 1.2905 2022/08/03 19:02:53 - mmengine - INFO - Epoch(train) [111][1380/1879] lr: 2.0000e-03 eta: 18:41:30 time: 0.9041 data_time: 0.0276 memory: 11089 grad_norm: 4.7273 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3179 loss: 1.3179 2022/08/03 19:03:11 - mmengine - INFO - Epoch(train) [111][1400/1879] lr: 2.0000e-03 eta: 18:41:12 time: 0.8996 data_time: 0.0206 memory: 11089 grad_norm: 4.6162 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5571 loss: 1.5571 2022/08/03 19:03:29 - mmengine - INFO - Epoch(train) [111][1420/1879] lr: 2.0000e-03 eta: 18:40:54 time: 0.9205 data_time: 0.0270 memory: 11089 grad_norm: 4.6378 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4090 loss: 1.4090 2022/08/03 19:03:48 - mmengine - INFO - Epoch(train) [111][1440/1879] lr: 2.0000e-03 eta: 18:40:36 time: 0.9167 data_time: 0.0304 memory: 11089 grad_norm: 4.7631 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3068 loss: 1.3068 2022/08/03 19:04:06 - mmengine - INFO - Epoch(train) [111][1460/1879] lr: 2.0000e-03 eta: 18:40:17 time: 0.9194 data_time: 0.0392 memory: 11089 grad_norm: 4.8025 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2523 loss: 1.2523 2022/08/03 19:04:25 - mmengine - INFO - Epoch(train) [111][1480/1879] lr: 2.0000e-03 eta: 18:39:59 time: 0.9274 data_time: 0.0341 memory: 11089 grad_norm: 4.8252 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3826 loss: 1.3826 2022/08/03 19:04:43 - mmengine - INFO - Epoch(train) [111][1500/1879] lr: 2.0000e-03 eta: 18:39:41 time: 0.9124 data_time: 0.0325 memory: 11089 grad_norm: 4.6152 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3307 loss: 1.3307 2022/08/03 19:05:02 - mmengine - INFO - Epoch(train) [111][1520/1879] lr: 2.0000e-03 eta: 18:39:23 time: 0.9330 data_time: 0.0278 memory: 11089 grad_norm: 4.5876 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2376 loss: 1.2376 2022/08/03 19:05:20 - mmengine - INFO - Epoch(train) [111][1540/1879] lr: 2.0000e-03 eta: 18:39:05 time: 0.9172 data_time: 0.0323 memory: 11089 grad_norm: 4.8161 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4705 loss: 1.4705 2022/08/03 19:05:38 - mmengine - INFO - Epoch(train) [111][1560/1879] lr: 2.0000e-03 eta: 18:38:47 time: 0.9272 data_time: 0.0334 memory: 11089 grad_norm: 4.5300 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3230 loss: 1.3230 2022/08/03 19:05:57 - mmengine - INFO - Epoch(train) [111][1580/1879] lr: 2.0000e-03 eta: 18:38:29 time: 0.9189 data_time: 0.0293 memory: 11089 grad_norm: 4.7320 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4665 loss: 1.4665 2022/08/03 19:06:15 - mmengine - INFO - Epoch(train) [111][1600/1879] lr: 2.0000e-03 eta: 18:38:10 time: 0.9070 data_time: 0.0252 memory: 11089 grad_norm: 4.6112 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3478 loss: 1.3478 2022/08/03 19:06:33 - mmengine - INFO - Epoch(train) [111][1620/1879] lr: 2.0000e-03 eta: 18:37:52 time: 0.9161 data_time: 0.0253 memory: 11089 grad_norm: 4.6955 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2157 loss: 1.2157 2022/08/03 19:06:51 - mmengine - INFO - Epoch(train) [111][1640/1879] lr: 2.0000e-03 eta: 18:37:34 time: 0.9053 data_time: 0.0352 memory: 11089 grad_norm: 4.8130 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2570 loss: 1.2570 2022/08/03 19:07:09 - mmengine - INFO - Epoch(train) [111][1660/1879] lr: 2.0000e-03 eta: 18:37:15 time: 0.8997 data_time: 0.0241 memory: 11089 grad_norm: 4.6762 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3674 loss: 1.3674 2022/08/03 19:07:28 - mmengine - INFO - Epoch(train) [111][1680/1879] lr: 2.0000e-03 eta: 18:36:57 time: 0.9265 data_time: 0.0302 memory: 11089 grad_norm: 4.6887 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3586 loss: 1.3586 2022/08/03 19:07:47 - mmengine - INFO - Epoch(train) [111][1700/1879] lr: 2.0000e-03 eta: 18:36:39 time: 0.9319 data_time: 0.0310 memory: 11089 grad_norm: 4.8158 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4247 loss: 1.4247 2022/08/03 19:08:05 - mmengine - INFO - Epoch(train) [111][1720/1879] lr: 2.0000e-03 eta: 18:36:21 time: 0.9196 data_time: 0.0264 memory: 11089 grad_norm: 4.7708 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3469 loss: 1.3469 2022/08/03 19:08:23 - mmengine - INFO - Epoch(train) [111][1740/1879] lr: 2.0000e-03 eta: 18:36:03 time: 0.9139 data_time: 0.0318 memory: 11089 grad_norm: 4.8053 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3918 loss: 1.3918 2022/08/03 19:08:42 - mmengine - INFO - Epoch(train) [111][1760/1879] lr: 2.0000e-03 eta: 18:35:45 time: 0.9135 data_time: 0.0273 memory: 11089 grad_norm: 4.8228 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2405 loss: 1.2405 2022/08/03 19:09:00 - mmengine - INFO - Epoch(train) [111][1780/1879] lr: 2.0000e-03 eta: 18:35:26 time: 0.9026 data_time: 0.0199 memory: 11089 grad_norm: 4.6877 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3590 loss: 1.3590 2022/08/03 19:09:18 - mmengine - INFO - Epoch(train) [111][1800/1879] lr: 2.0000e-03 eta: 18:35:08 time: 0.9183 data_time: 0.0305 memory: 11089 grad_norm: 4.7577 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1364 loss: 1.1364 2022/08/03 19:09:36 - mmengine - INFO - Epoch(train) [111][1820/1879] lr: 2.0000e-03 eta: 18:34:50 time: 0.9137 data_time: 0.0199 memory: 11089 grad_norm: 4.7639 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5456 loss: 1.5456 2022/08/03 19:09:55 - mmengine - INFO - Epoch(train) [111][1840/1879] lr: 2.0000e-03 eta: 18:34:32 time: 0.9149 data_time: 0.0320 memory: 11089 grad_norm: 4.8400 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2061 loss: 1.2061 2022/08/03 19:10:13 - mmengine - INFO - Epoch(train) [111][1860/1879] lr: 2.0000e-03 eta: 18:34:13 time: 0.8995 data_time: 0.0285 memory: 11089 grad_norm: 4.6933 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3911 loss: 1.3911 2022/08/03 19:10:30 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 19:10:30 - mmengine - INFO - Epoch(train) [111][1879/1879] lr: 2.0000e-03 eta: 18:34:13 time: 0.8960 data_time: 0.0230 memory: 11089 grad_norm: 4.7735 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.4758 loss: 1.4758 2022/08/03 19:10:50 - mmengine - INFO - Epoch(train) [112][20/1879] lr: 2.0000e-03 eta: 18:33:32 time: 1.0266 data_time: 0.1526 memory: 11089 grad_norm: 4.6935 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2658 loss: 1.2658 2022/08/03 19:11:09 - mmengine - INFO - Epoch(train) [112][40/1879] lr: 2.0000e-03 eta: 18:33:14 time: 0.9180 data_time: 0.0274 memory: 11089 grad_norm: 4.7774 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2836 loss: 1.2836 2022/08/03 19:11:27 - mmengine - INFO - Epoch(train) [112][60/1879] lr: 2.0000e-03 eta: 18:32:56 time: 0.9149 data_time: 0.0223 memory: 11089 grad_norm: 4.6333 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2557 loss: 1.2557 2022/08/03 19:11:45 - mmengine - INFO - Epoch(train) [112][80/1879] lr: 2.0000e-03 eta: 18:32:38 time: 0.9074 data_time: 0.0231 memory: 11089 grad_norm: 4.7078 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3338 loss: 1.3338 2022/08/03 19:12:03 - mmengine - INFO - Epoch(train) [112][100/1879] lr: 2.0000e-03 eta: 18:32:20 time: 0.9235 data_time: 0.0306 memory: 11089 grad_norm: 4.7745 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.4309 loss: 1.4309 2022/08/03 19:12:22 - mmengine - INFO - Epoch(train) [112][120/1879] lr: 2.0000e-03 eta: 18:32:01 time: 0.9018 data_time: 0.0217 memory: 11089 grad_norm: 4.6547 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3768 loss: 1.3768 2022/08/03 19:12:40 - mmengine - INFO - Epoch(train) [112][140/1879] lr: 2.0000e-03 eta: 18:31:43 time: 0.9358 data_time: 0.0281 memory: 11089 grad_norm: 4.7296 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4272 loss: 1.4272 2022/08/03 19:12:59 - mmengine - INFO - Epoch(train) [112][160/1879] lr: 2.0000e-03 eta: 18:31:25 time: 0.9309 data_time: 0.0273 memory: 11089 grad_norm: 4.6336 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3115 loss: 1.3115 2022/08/03 19:13:17 - mmengine - INFO - Epoch(train) [112][180/1879] lr: 2.0000e-03 eta: 18:31:07 time: 0.9281 data_time: 0.0266 memory: 11089 grad_norm: 4.8216 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1611 loss: 1.1611 2022/08/03 19:13:36 - mmengine - INFO - Epoch(train) [112][200/1879] lr: 2.0000e-03 eta: 18:30:49 time: 0.9039 data_time: 0.0235 memory: 11089 grad_norm: 4.6720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2514 loss: 1.2514 2022/08/03 19:13:53 - mmengine - INFO - Epoch(train) [112][220/1879] lr: 2.0000e-03 eta: 18:30:30 time: 0.8950 data_time: 0.0273 memory: 11089 grad_norm: 4.8339 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2907 loss: 1.2907 2022/08/03 19:14:12 - mmengine - INFO - Epoch(train) [112][240/1879] lr: 2.0000e-03 eta: 18:30:12 time: 0.9101 data_time: 0.0255 memory: 11089 grad_norm: 4.8923 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4271 loss: 1.4271 2022/08/03 19:14:30 - mmengine - INFO - Epoch(train) [112][260/1879] lr: 2.0000e-03 eta: 18:29:54 time: 0.9355 data_time: 0.0283 memory: 11089 grad_norm: 4.8114 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.4296 loss: 1.4296 2022/08/03 19:14:49 - mmengine - INFO - Epoch(train) [112][280/1879] lr: 2.0000e-03 eta: 18:29:36 time: 0.9151 data_time: 0.0246 memory: 11089 grad_norm: 4.7703 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4458 loss: 1.4458 2022/08/03 19:15:07 - mmengine - INFO - Epoch(train) [112][300/1879] lr: 2.0000e-03 eta: 18:29:18 time: 0.9285 data_time: 0.0311 memory: 11089 grad_norm: 4.8899 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4045 loss: 1.4045 2022/08/03 19:15:26 - mmengine - INFO - Epoch(train) [112][320/1879] lr: 2.0000e-03 eta: 18:28:59 time: 0.9157 data_time: 0.0239 memory: 11089 grad_norm: 4.6273 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4130 loss: 1.4130 2022/08/03 19:15:44 - mmengine - INFO - Epoch(train) [112][340/1879] lr: 2.0000e-03 eta: 18:28:41 time: 0.9128 data_time: 0.0233 memory: 11089 grad_norm: 4.8511 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5481 loss: 1.5481 2022/08/03 19:16:02 - mmengine - INFO - Epoch(train) [112][360/1879] lr: 2.0000e-03 eta: 18:28:23 time: 0.9083 data_time: 0.0236 memory: 11089 grad_norm: 4.6903 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1682 loss: 1.1682 2022/08/03 19:16:20 - mmengine - INFO - Epoch(train) [112][380/1879] lr: 2.0000e-03 eta: 18:28:05 time: 0.9113 data_time: 0.0201 memory: 11089 grad_norm: 4.8176 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4007 loss: 1.4007 2022/08/03 19:16:38 - mmengine - INFO - Epoch(train) [112][400/1879] lr: 2.0000e-03 eta: 18:27:46 time: 0.9013 data_time: 0.0228 memory: 11089 grad_norm: 4.7349 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3307 loss: 1.3307 2022/08/03 19:16:57 - mmengine - INFO - Epoch(train) [112][420/1879] lr: 2.0000e-03 eta: 18:27:28 time: 0.9150 data_time: 0.0247 memory: 11089 grad_norm: 4.8800 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2950 loss: 1.2950 2022/08/03 19:17:07 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 19:17:15 - mmengine - INFO - Epoch(train) [112][440/1879] lr: 2.0000e-03 eta: 18:27:10 time: 0.9218 data_time: 0.0270 memory: 11089 grad_norm: 4.6735 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2440 loss: 1.2440 2022/08/03 19:17:33 - mmengine - INFO - Epoch(train) [112][460/1879] lr: 2.0000e-03 eta: 18:26:52 time: 0.9250 data_time: 0.0280 memory: 11089 grad_norm: 4.6593 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3383 loss: 1.3383 2022/08/03 19:17:52 - mmengine - INFO - Epoch(train) [112][480/1879] lr: 2.0000e-03 eta: 18:26:33 time: 0.9027 data_time: 0.0257 memory: 11089 grad_norm: 4.8401 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2134 loss: 1.2134 2022/08/03 19:18:10 - mmengine - INFO - Epoch(train) [112][500/1879] lr: 2.0000e-03 eta: 18:26:15 time: 0.9110 data_time: 0.0253 memory: 11089 grad_norm: 4.7479 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3349 loss: 1.3349 2022/08/03 19:18:28 - mmengine - INFO - Epoch(train) [112][520/1879] lr: 2.0000e-03 eta: 18:25:57 time: 0.9165 data_time: 0.0228 memory: 11089 grad_norm: 4.7052 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3880 loss: 1.3880 2022/08/03 19:18:46 - mmengine - INFO - Epoch(train) [112][540/1879] lr: 2.0000e-03 eta: 18:25:39 time: 0.9047 data_time: 0.0199 memory: 11089 grad_norm: 4.8300 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1610 loss: 1.1610 2022/08/03 19:19:05 - mmengine - INFO - Epoch(train) [112][560/1879] lr: 2.0000e-03 eta: 18:25:21 time: 0.9200 data_time: 0.0219 memory: 11089 grad_norm: 4.8220 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1732 loss: 1.1732 2022/08/03 19:19:23 - mmengine - INFO - Epoch(train) [112][580/1879] lr: 2.0000e-03 eta: 18:25:02 time: 0.9138 data_time: 0.0281 memory: 11089 grad_norm: 4.7439 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2305 loss: 1.2305 2022/08/03 19:19:41 - mmengine - INFO - Epoch(train) [112][600/1879] lr: 2.0000e-03 eta: 18:24:44 time: 0.9288 data_time: 0.0236 memory: 11089 grad_norm: 4.7979 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3629 loss: 1.3629 2022/08/03 19:20:00 - mmengine - INFO - Epoch(train) [112][620/1879] lr: 2.0000e-03 eta: 18:24:26 time: 0.9245 data_time: 0.0282 memory: 11089 grad_norm: 4.7516 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4680 loss: 1.4680 2022/08/03 19:20:18 - mmengine - INFO - Epoch(train) [112][640/1879] lr: 2.0000e-03 eta: 18:24:08 time: 0.9056 data_time: 0.0327 memory: 11089 grad_norm: 4.7605 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3718 loss: 1.3718 2022/08/03 19:20:36 - mmengine - INFO - Epoch(train) [112][660/1879] lr: 2.0000e-03 eta: 18:23:50 time: 0.9150 data_time: 0.0247 memory: 11089 grad_norm: 4.7007 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4485 loss: 1.4485 2022/08/03 19:20:55 - mmengine - INFO - Epoch(train) [112][680/1879] lr: 2.0000e-03 eta: 18:23:31 time: 0.9157 data_time: 0.0366 memory: 11089 grad_norm: 4.8005 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1637 loss: 1.1637 2022/08/03 19:21:13 - mmengine - INFO - Epoch(train) [112][700/1879] lr: 2.0000e-03 eta: 18:23:13 time: 0.9118 data_time: 0.0255 memory: 11089 grad_norm: 4.6885 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4216 loss: 1.4216 2022/08/03 19:21:31 - mmengine - INFO - Epoch(train) [112][720/1879] lr: 2.0000e-03 eta: 18:22:55 time: 0.9166 data_time: 0.0264 memory: 11089 grad_norm: 4.8398 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3488 loss: 1.3488 2022/08/03 19:21:50 - mmengine - INFO - Epoch(train) [112][740/1879] lr: 2.0000e-03 eta: 18:22:37 time: 0.9297 data_time: 0.0310 memory: 11089 grad_norm: 4.7824 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3397 loss: 1.3397 2022/08/03 19:22:08 - mmengine - INFO - Epoch(train) [112][760/1879] lr: 2.0000e-03 eta: 18:22:18 time: 0.9092 data_time: 0.0214 memory: 11089 grad_norm: 4.7626 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4836 loss: 1.4836 2022/08/03 19:22:26 - mmengine - INFO - Epoch(train) [112][780/1879] lr: 2.0000e-03 eta: 18:22:00 time: 0.9108 data_time: 0.0256 memory: 11089 grad_norm: 4.9189 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3008 loss: 1.3008 2022/08/03 19:22:45 - mmengine - INFO - Epoch(train) [112][800/1879] lr: 2.0000e-03 eta: 18:21:42 time: 0.9256 data_time: 0.0260 memory: 11089 grad_norm: 4.7371 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3533 loss: 1.3533 2022/08/03 19:23:03 - mmengine - INFO - Epoch(train) [112][820/1879] lr: 2.0000e-03 eta: 18:21:24 time: 0.9061 data_time: 0.0287 memory: 11089 grad_norm: 4.9312 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.3859 loss: 1.3859 2022/08/03 19:23:21 - mmengine - INFO - Epoch(train) [112][840/1879] lr: 2.0000e-03 eta: 18:21:06 time: 0.9147 data_time: 0.0269 memory: 11089 grad_norm: 4.7655 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2562 loss: 1.2562 2022/08/03 19:23:39 - mmengine - INFO - Epoch(train) [112][860/1879] lr: 2.0000e-03 eta: 18:20:47 time: 0.9067 data_time: 0.0244 memory: 11089 grad_norm: 4.9187 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3727 loss: 1.3727 2022/08/03 19:23:58 - mmengine - INFO - Epoch(train) [112][880/1879] lr: 2.0000e-03 eta: 18:20:29 time: 0.9060 data_time: 0.0270 memory: 11089 grad_norm: 4.8672 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5920 loss: 1.5920 2022/08/03 19:24:15 - mmengine - INFO - Epoch(train) [112][900/1879] lr: 2.0000e-03 eta: 18:20:11 time: 0.8946 data_time: 0.0231 memory: 11089 grad_norm: 4.8570 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3432 loss: 1.3432 2022/08/03 19:24:34 - mmengine - INFO - Epoch(train) [112][920/1879] lr: 2.0000e-03 eta: 18:19:52 time: 0.9110 data_time: 0.0265 memory: 11089 grad_norm: 4.7935 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3150 loss: 1.3150 2022/08/03 19:24:52 - mmengine - INFO - Epoch(train) [112][940/1879] lr: 2.0000e-03 eta: 18:19:34 time: 0.9255 data_time: 0.0326 memory: 11089 grad_norm: 4.7165 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2732 loss: 1.2732 2022/08/03 19:25:11 - mmengine - INFO - Epoch(train) [112][960/1879] lr: 2.0000e-03 eta: 18:19:16 time: 0.9357 data_time: 0.0250 memory: 11089 grad_norm: 4.7956 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3069 loss: 1.3069 2022/08/03 19:25:29 - mmengine - INFO - Epoch(train) [112][980/1879] lr: 2.0000e-03 eta: 18:18:58 time: 0.9126 data_time: 0.0200 memory: 11089 grad_norm: 4.7230 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2049 loss: 1.2049 2022/08/03 19:25:48 - mmengine - INFO - Epoch(train) [112][1000/1879] lr: 2.0000e-03 eta: 18:18:40 time: 0.9278 data_time: 0.0291 memory: 11089 grad_norm: 4.6579 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3298 loss: 1.3298 2022/08/03 19:26:06 - mmengine - INFO - Epoch(train) [112][1020/1879] lr: 2.0000e-03 eta: 18:18:22 time: 0.9155 data_time: 0.0305 memory: 11089 grad_norm: 4.7477 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4417 loss: 1.4417 2022/08/03 19:26:24 - mmengine - INFO - Epoch(train) [112][1040/1879] lr: 2.0000e-03 eta: 18:18:03 time: 0.9096 data_time: 0.0261 memory: 11089 grad_norm: 4.6975 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3876 loss: 1.3876 2022/08/03 19:26:42 - mmengine - INFO - Epoch(train) [112][1060/1879] lr: 2.0000e-03 eta: 18:17:45 time: 0.9046 data_time: 0.0297 memory: 11089 grad_norm: 4.7333 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2313 loss: 1.2313 2022/08/03 19:27:01 - mmengine - INFO - Epoch(train) [112][1080/1879] lr: 2.0000e-03 eta: 18:17:27 time: 0.9341 data_time: 0.0280 memory: 11089 grad_norm: 4.7888 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2576 loss: 1.2576 2022/08/03 19:27:20 - mmengine - INFO - Epoch(train) [112][1100/1879] lr: 2.0000e-03 eta: 18:17:09 time: 0.9280 data_time: 0.0271 memory: 11089 grad_norm: 4.6784 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3263 loss: 1.3263 2022/08/03 19:27:38 - mmengine - INFO - Epoch(train) [112][1120/1879] lr: 2.0000e-03 eta: 18:16:51 time: 0.9031 data_time: 0.0261 memory: 11089 grad_norm: 4.7551 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3942 loss: 1.3942 2022/08/03 19:27:56 - mmengine - INFO - Epoch(train) [112][1140/1879] lr: 2.0000e-03 eta: 18:16:32 time: 0.9130 data_time: 0.0267 memory: 11089 grad_norm: 4.8037 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2992 loss: 1.2992 2022/08/03 19:28:14 - mmengine - INFO - Epoch(train) [112][1160/1879] lr: 2.0000e-03 eta: 18:16:14 time: 0.9121 data_time: 0.0270 memory: 11089 grad_norm: 4.7948 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4802 loss: 1.4802 2022/08/03 19:28:32 - mmengine - INFO - Epoch(train) [112][1180/1879] lr: 2.0000e-03 eta: 18:15:56 time: 0.9120 data_time: 0.0212 memory: 11089 grad_norm: 4.9130 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5590 loss: 1.5590 2022/08/03 19:28:51 - mmengine - INFO - Epoch(train) [112][1200/1879] lr: 2.0000e-03 eta: 18:15:38 time: 0.9475 data_time: 0.0406 memory: 11089 grad_norm: 4.9788 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5505 loss: 1.5505 2022/08/03 19:29:10 - mmengine - INFO - Epoch(train) [112][1220/1879] lr: 2.0000e-03 eta: 18:15:20 time: 0.9092 data_time: 0.0231 memory: 11089 grad_norm: 4.7161 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2902 loss: 1.2902 2022/08/03 19:29:28 - mmengine - INFO - Epoch(train) [112][1240/1879] lr: 2.0000e-03 eta: 18:15:01 time: 0.9260 data_time: 0.0249 memory: 11089 grad_norm: 4.7779 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5210 loss: 1.5210 2022/08/03 19:29:46 - mmengine - INFO - Epoch(train) [112][1260/1879] lr: 2.0000e-03 eta: 18:14:43 time: 0.9116 data_time: 0.0266 memory: 11089 grad_norm: 4.8108 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2680 loss: 1.2680 2022/08/03 19:30:05 - mmengine - INFO - Epoch(train) [112][1280/1879] lr: 2.0000e-03 eta: 18:14:25 time: 0.9131 data_time: 0.0251 memory: 11089 grad_norm: 4.8342 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7011 loss: 1.7011 2022/08/03 19:30:23 - mmengine - INFO - Epoch(train) [112][1300/1879] lr: 2.0000e-03 eta: 18:14:07 time: 0.9091 data_time: 0.0234 memory: 11089 grad_norm: 4.5854 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3645 loss: 1.3645 2022/08/03 19:30:41 - mmengine - INFO - Epoch(train) [112][1320/1879] lr: 2.0000e-03 eta: 18:13:48 time: 0.9150 data_time: 0.0254 memory: 11089 grad_norm: 4.7492 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3456 loss: 1.3456 2022/08/03 19:30:59 - mmengine - INFO - Epoch(train) [112][1340/1879] lr: 2.0000e-03 eta: 18:13:30 time: 0.9108 data_time: 0.0258 memory: 11089 grad_norm: 4.7599 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3818 loss: 1.3818 2022/08/03 19:31:17 - mmengine - INFO - Epoch(train) [112][1360/1879] lr: 2.0000e-03 eta: 18:13:12 time: 0.9106 data_time: 0.0266 memory: 11089 grad_norm: 4.6839 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0805 loss: 1.0805 2022/08/03 19:31:36 - mmengine - INFO - Epoch(train) [112][1380/1879] lr: 2.0000e-03 eta: 18:12:54 time: 0.9066 data_time: 0.0249 memory: 11089 grad_norm: 4.7934 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2653 loss: 1.2653 2022/08/03 19:31:54 - mmengine - INFO - Epoch(train) [112][1400/1879] lr: 2.0000e-03 eta: 18:12:35 time: 0.9110 data_time: 0.0257 memory: 11089 grad_norm: 4.6889 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3211 loss: 1.3211 2022/08/03 19:32:12 - mmengine - INFO - Epoch(train) [112][1420/1879] lr: 2.0000e-03 eta: 18:12:17 time: 0.9259 data_time: 0.0311 memory: 11089 grad_norm: 4.9077 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4368 loss: 1.4368 2022/08/03 19:32:23 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 19:32:31 - mmengine - INFO - Epoch(train) [112][1440/1879] lr: 2.0000e-03 eta: 18:11:59 time: 0.9323 data_time: 0.0318 memory: 11089 grad_norm: 4.6240 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1390 loss: 1.1390 2022/08/03 19:32:50 - mmengine - INFO - Epoch(train) [112][1460/1879] lr: 2.0000e-03 eta: 18:11:41 time: 0.9340 data_time: 0.0280 memory: 11089 grad_norm: 4.7532 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3172 loss: 1.3172 2022/08/03 19:33:08 - mmengine - INFO - Epoch(train) [112][1480/1879] lr: 2.0000e-03 eta: 18:11:23 time: 0.9294 data_time: 0.0370 memory: 11089 grad_norm: 4.7147 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4052 loss: 1.4052 2022/08/03 19:33:26 - mmengine - INFO - Epoch(train) [112][1500/1879] lr: 2.0000e-03 eta: 18:11:05 time: 0.9084 data_time: 0.0264 memory: 11089 grad_norm: 4.8149 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2823 loss: 1.2823 2022/08/03 19:33:45 - mmengine - INFO - Epoch(train) [112][1520/1879] lr: 2.0000e-03 eta: 18:10:47 time: 0.9277 data_time: 0.0316 memory: 11089 grad_norm: 4.7591 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2670 loss: 1.2670 2022/08/03 19:34:04 - mmengine - INFO - Epoch(train) [112][1540/1879] lr: 2.0000e-03 eta: 18:10:28 time: 0.9271 data_time: 0.0349 memory: 11089 grad_norm: 4.6586 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2190 loss: 1.2190 2022/08/03 19:34:22 - mmengine - INFO - Epoch(train) [112][1560/1879] lr: 2.0000e-03 eta: 18:10:10 time: 0.9132 data_time: 0.0264 memory: 11089 grad_norm: 4.7531 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2581 loss: 1.2581 2022/08/03 19:34:40 - mmengine - INFO - Epoch(train) [112][1580/1879] lr: 2.0000e-03 eta: 18:09:52 time: 0.9098 data_time: 0.0285 memory: 11089 grad_norm: 4.9056 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2191 loss: 1.2191 2022/08/03 19:34:58 - mmengine - INFO - Epoch(train) [112][1600/1879] lr: 2.0000e-03 eta: 18:09:34 time: 0.9196 data_time: 0.0306 memory: 11089 grad_norm: 4.8331 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3336 loss: 1.3336 2022/08/03 19:35:17 - mmengine - INFO - Epoch(train) [112][1620/1879] lr: 2.0000e-03 eta: 18:09:16 time: 0.9295 data_time: 0.0271 memory: 11089 grad_norm: 4.6469 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1352 loss: 1.1352 2022/08/03 19:35:36 - mmengine - INFO - Epoch(train) [112][1640/1879] lr: 2.0000e-03 eta: 18:08:58 time: 0.9308 data_time: 0.0331 memory: 11089 grad_norm: 4.8685 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3616 loss: 1.3616 2022/08/03 19:35:54 - mmengine - INFO - Epoch(train) [112][1660/1879] lr: 2.0000e-03 eta: 18:08:39 time: 0.9318 data_time: 0.0342 memory: 11089 grad_norm: 4.8603 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5523 loss: 1.5523 2022/08/03 19:36:12 - mmengine - INFO - Epoch(train) [112][1680/1879] lr: 2.0000e-03 eta: 18:08:21 time: 0.8988 data_time: 0.0260 memory: 11089 grad_norm: 4.8143 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.4688 loss: 1.4688 2022/08/03 19:36:31 - mmengine - INFO - Epoch(train) [112][1700/1879] lr: 2.0000e-03 eta: 18:08:03 time: 0.9300 data_time: 0.0311 memory: 11089 grad_norm: 4.8296 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2291 loss: 1.2291 2022/08/03 19:36:49 - mmengine - INFO - Epoch(train) [112][1720/1879] lr: 2.0000e-03 eta: 18:07:45 time: 0.9145 data_time: 0.0270 memory: 11089 grad_norm: 4.8256 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3604 loss: 1.3604 2022/08/03 19:37:08 - mmengine - INFO - Epoch(train) [112][1740/1879] lr: 2.0000e-03 eta: 18:07:27 time: 0.9225 data_time: 0.0281 memory: 11089 grad_norm: 4.6901 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3099 loss: 1.3099 2022/08/03 19:37:26 - mmengine - INFO - Epoch(train) [112][1760/1879] lr: 2.0000e-03 eta: 18:07:09 time: 0.9407 data_time: 0.0297 memory: 11089 grad_norm: 4.8116 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5050 loss: 1.5050 2022/08/03 19:37:45 - mmengine - INFO - Epoch(train) [112][1780/1879] lr: 2.0000e-03 eta: 18:06:50 time: 0.9102 data_time: 0.0292 memory: 11089 grad_norm: 4.8270 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2477 loss: 1.2477 2022/08/03 19:38:03 - mmengine - INFO - Epoch(train) [112][1800/1879] lr: 2.0000e-03 eta: 18:06:32 time: 0.9286 data_time: 0.0340 memory: 11089 grad_norm: 4.8425 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2485 loss: 1.2485 2022/08/03 19:38:22 - mmengine - INFO - Epoch(train) [112][1820/1879] lr: 2.0000e-03 eta: 18:06:14 time: 0.9419 data_time: 0.0281 memory: 11089 grad_norm: 4.8340 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3330 loss: 1.3330 2022/08/03 19:38:41 - mmengine - INFO - Epoch(train) [112][1840/1879] lr: 2.0000e-03 eta: 18:05:56 time: 0.9255 data_time: 0.0235 memory: 11089 grad_norm: 4.7069 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4292 loss: 1.4292 2022/08/03 19:38:59 - mmengine - INFO - Epoch(train) [112][1860/1879] lr: 2.0000e-03 eta: 18:05:38 time: 0.9218 data_time: 0.0356 memory: 11089 grad_norm: 4.8032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4069 loss: 1.4069 2022/08/03 19:39:16 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 19:39:16 - mmengine - INFO - Epoch(train) [112][1879/1879] lr: 2.0000e-03 eta: 18:05:38 time: 0.9068 data_time: 0.0342 memory: 11089 grad_norm: 4.8847 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.1670 loss: 1.1670 2022/08/03 19:39:16 - mmengine - INFO - Saving checkpoint at 112 epochs 2022/08/03 19:39:44 - mmengine - INFO - Epoch(train) [113][20/1879] lr: 2.0000e-03 eta: 18:04:57 time: 1.0227 data_time: 0.1118 memory: 11089 grad_norm: 4.6760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2581 loss: 1.2581 2022/08/03 19:40:03 - mmengine - INFO - Epoch(train) [113][40/1879] lr: 2.0000e-03 eta: 18:04:39 time: 0.9303 data_time: 0.0245 memory: 11089 grad_norm: 4.6485 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.1951 loss: 1.1951 2022/08/03 19:40:21 - mmengine - INFO - Epoch(train) [113][60/1879] lr: 2.0000e-03 eta: 18:04:21 time: 0.9250 data_time: 0.0324 memory: 11089 grad_norm: 4.7535 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2091 loss: 1.2091 2022/08/03 19:40:39 - mmengine - INFO - Epoch(train) [113][80/1879] lr: 2.0000e-03 eta: 18:04:03 time: 0.9035 data_time: 0.0265 memory: 11089 grad_norm: 4.7206 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3602 loss: 1.3602 2022/08/03 19:40:58 - mmengine - INFO - Epoch(train) [113][100/1879] lr: 2.0000e-03 eta: 18:03:44 time: 0.9319 data_time: 0.0289 memory: 11089 grad_norm: 4.9576 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3861 loss: 1.3861 2022/08/03 19:41:16 - mmengine - INFO - Epoch(train) [113][120/1879] lr: 2.0000e-03 eta: 18:03:26 time: 0.9126 data_time: 0.0249 memory: 11089 grad_norm: 4.8498 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2949 loss: 1.2949 2022/08/03 19:41:34 - mmengine - INFO - Epoch(train) [113][140/1879] lr: 2.0000e-03 eta: 18:03:08 time: 0.9133 data_time: 0.0237 memory: 11089 grad_norm: 4.7285 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3779 loss: 1.3779 2022/08/03 19:41:53 - mmengine - INFO - Epoch(train) [113][160/1879] lr: 2.0000e-03 eta: 18:02:50 time: 0.9241 data_time: 0.0250 memory: 11089 grad_norm: 4.9359 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2791 loss: 1.2791 2022/08/03 19:42:11 - mmengine - INFO - Epoch(train) [113][180/1879] lr: 2.0000e-03 eta: 18:02:32 time: 0.9210 data_time: 0.0272 memory: 11089 grad_norm: 4.8758 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3566 loss: 1.3566 2022/08/03 19:42:30 - mmengine - INFO - Epoch(train) [113][200/1879] lr: 2.0000e-03 eta: 18:02:13 time: 0.9224 data_time: 0.0297 memory: 11089 grad_norm: 4.8798 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3711 loss: 1.3711 2022/08/03 19:42:48 - mmengine - INFO - Epoch(train) [113][220/1879] lr: 2.0000e-03 eta: 18:01:55 time: 0.9339 data_time: 0.0302 memory: 11089 grad_norm: 4.8077 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1939 loss: 1.1939 2022/08/03 19:43:06 - mmengine - INFO - Epoch(train) [113][240/1879] lr: 2.0000e-03 eta: 18:01:37 time: 0.9007 data_time: 0.0248 memory: 11089 grad_norm: 4.7121 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2126 loss: 1.2126 2022/08/03 19:43:25 - mmengine - INFO - Epoch(train) [113][260/1879] lr: 2.0000e-03 eta: 18:01:19 time: 0.9210 data_time: 0.0267 memory: 11089 grad_norm: 4.8715 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4854 loss: 1.4854 2022/08/03 19:43:43 - mmengine - INFO - Epoch(train) [113][280/1879] lr: 2.0000e-03 eta: 18:01:01 time: 0.9276 data_time: 0.0240 memory: 11089 grad_norm: 4.8569 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1421 loss: 1.1421 2022/08/03 19:44:02 - mmengine - INFO - Epoch(train) [113][300/1879] lr: 2.0000e-03 eta: 18:00:43 time: 0.9355 data_time: 0.0397 memory: 11089 grad_norm: 4.8954 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2120 loss: 1.2120 2022/08/03 19:44:21 - mmengine - INFO - Epoch(train) [113][320/1879] lr: 2.0000e-03 eta: 18:00:25 time: 0.9274 data_time: 0.0274 memory: 11089 grad_norm: 4.7768 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3585 loss: 1.3585 2022/08/03 19:44:39 - mmengine - INFO - Epoch(train) [113][340/1879] lr: 2.0000e-03 eta: 18:00:06 time: 0.9249 data_time: 0.0296 memory: 11089 grad_norm: 4.8362 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5927 loss: 1.5927 2022/08/03 19:44:58 - mmengine - INFO - Epoch(train) [113][360/1879] lr: 2.0000e-03 eta: 17:59:48 time: 0.9220 data_time: 0.0295 memory: 11089 grad_norm: 4.6880 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1125 loss: 1.1125 2022/08/03 19:45:16 - mmengine - INFO - Epoch(train) [113][380/1879] lr: 2.0000e-03 eta: 17:59:30 time: 0.9272 data_time: 0.0289 memory: 11089 grad_norm: 4.7030 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3113 loss: 1.3113 2022/08/03 19:45:35 - mmengine - INFO - Epoch(train) [113][400/1879] lr: 2.0000e-03 eta: 17:59:12 time: 0.9327 data_time: 0.0307 memory: 11089 grad_norm: 4.8359 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3429 loss: 1.3429 2022/08/03 19:45:53 - mmengine - INFO - Epoch(train) [113][420/1879] lr: 2.0000e-03 eta: 17:58:54 time: 0.9128 data_time: 0.0231 memory: 11089 grad_norm: 4.7945 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3983 loss: 1.3983 2022/08/03 19:46:11 - mmengine - INFO - Epoch(train) [113][440/1879] lr: 2.0000e-03 eta: 17:58:35 time: 0.8906 data_time: 0.0208 memory: 11089 grad_norm: 4.8297 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2961 loss: 1.2961 2022/08/03 19:46:28 - mmengine - INFO - Epoch(train) [113][460/1879] lr: 2.0000e-03 eta: 17:58:17 time: 0.8791 data_time: 0.0256 memory: 11089 grad_norm: 4.7922 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2569 loss: 1.2569 2022/08/03 19:46:47 - mmengine - INFO - Epoch(train) [113][480/1879] lr: 2.0000e-03 eta: 17:57:59 time: 0.9296 data_time: 0.0300 memory: 11089 grad_norm: 4.9954 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2406 loss: 1.2406 2022/08/03 19:47:05 - mmengine - INFO - Epoch(train) [113][500/1879] lr: 2.0000e-03 eta: 17:57:41 time: 0.9085 data_time: 0.0291 memory: 11089 grad_norm: 4.8811 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3629 loss: 1.3629 2022/08/03 19:47:24 - mmengine - INFO - Epoch(train) [113][520/1879] lr: 2.0000e-03 eta: 17:57:22 time: 0.9170 data_time: 0.0254 memory: 11089 grad_norm: 4.9085 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3133 loss: 1.3133 2022/08/03 19:47:42 - mmengine - INFO - Epoch(train) [113][540/1879] lr: 2.0000e-03 eta: 17:57:04 time: 0.9059 data_time: 0.0294 memory: 11089 grad_norm: 4.7775 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3592 loss: 1.3592 2022/08/03 19:47:53 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 19:48:00 - mmengine - INFO - Epoch(train) [113][560/1879] lr: 2.0000e-03 eta: 17:56:46 time: 0.9109 data_time: 0.0260 memory: 11089 grad_norm: 4.9240 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4848 loss: 1.4848 2022/08/03 19:48:18 - mmengine - INFO - Epoch(train) [113][580/1879] lr: 2.0000e-03 eta: 17:56:28 time: 0.9051 data_time: 0.0242 memory: 11089 grad_norm: 4.9226 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4115 loss: 1.4115 2022/08/03 19:48:36 - mmengine - INFO - Epoch(train) [113][600/1879] lr: 2.0000e-03 eta: 17:56:09 time: 0.9110 data_time: 0.0305 memory: 11089 grad_norm: 4.8964 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4100 loss: 1.4100 2022/08/03 19:48:55 - mmengine - INFO - Epoch(train) [113][620/1879] lr: 2.0000e-03 eta: 17:55:51 time: 0.9204 data_time: 0.0264 memory: 11089 grad_norm: 4.7701 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1547 loss: 1.1547 2022/08/03 19:49:13 - mmengine - INFO - Epoch(train) [113][640/1879] lr: 2.0000e-03 eta: 17:55:33 time: 0.9014 data_time: 0.0282 memory: 11089 grad_norm: 4.8070 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5856 loss: 1.5856 2022/08/03 19:49:31 - mmengine - INFO - Epoch(train) [113][660/1879] lr: 2.0000e-03 eta: 17:55:14 time: 0.9058 data_time: 0.0273 memory: 11089 grad_norm: 4.8834 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4560 loss: 1.4560 2022/08/03 19:49:49 - mmengine - INFO - Epoch(train) [113][680/1879] lr: 2.0000e-03 eta: 17:54:56 time: 0.9063 data_time: 0.0228 memory: 11089 grad_norm: 4.8754 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4042 loss: 1.4042 2022/08/03 19:50:07 - mmengine - INFO - Epoch(train) [113][700/1879] lr: 2.0000e-03 eta: 17:54:38 time: 0.9259 data_time: 0.0313 memory: 11089 grad_norm: 4.7731 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2318 loss: 1.2318 2022/08/03 19:50:25 - mmengine - INFO - Epoch(train) [113][720/1879] lr: 2.0000e-03 eta: 17:54:20 time: 0.9005 data_time: 0.0264 memory: 11089 grad_norm: 4.8415 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.3281 loss: 1.3281 2022/08/03 19:50:44 - mmengine - INFO - Epoch(train) [113][740/1879] lr: 2.0000e-03 eta: 17:54:01 time: 0.9094 data_time: 0.0275 memory: 11089 grad_norm: 4.8536 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2764 loss: 1.2764 2022/08/03 19:51:02 - mmengine - INFO - Epoch(train) [113][760/1879] lr: 2.0000e-03 eta: 17:53:43 time: 0.9159 data_time: 0.0231 memory: 11089 grad_norm: 4.7635 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2776 loss: 1.2776 2022/08/03 19:51:20 - mmengine - INFO - Epoch(train) [113][780/1879] lr: 2.0000e-03 eta: 17:53:25 time: 0.9109 data_time: 0.0241 memory: 11089 grad_norm: 4.8910 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1995 loss: 1.1995 2022/08/03 19:51:38 - mmengine - INFO - Epoch(train) [113][800/1879] lr: 2.0000e-03 eta: 17:53:07 time: 0.9079 data_time: 0.0283 memory: 11089 grad_norm: 4.7735 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4245 loss: 1.4245 2022/08/03 19:51:57 - mmengine - INFO - Epoch(train) [113][820/1879] lr: 2.0000e-03 eta: 17:52:49 time: 0.9357 data_time: 0.0326 memory: 11089 grad_norm: 4.7523 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2494 loss: 1.2494 2022/08/03 19:52:16 - mmengine - INFO - Epoch(train) [113][840/1879] lr: 2.0000e-03 eta: 17:52:31 time: 0.9256 data_time: 0.0298 memory: 11089 grad_norm: 4.7435 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4248 loss: 1.4248 2022/08/03 19:52:34 - mmengine - INFO - Epoch(train) [113][860/1879] lr: 2.0000e-03 eta: 17:52:12 time: 0.9035 data_time: 0.0210 memory: 11089 grad_norm: 4.7806 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2629 loss: 1.2629 2022/08/03 19:52:52 - mmengine - INFO - Epoch(train) [113][880/1879] lr: 2.0000e-03 eta: 17:51:54 time: 0.9155 data_time: 0.0262 memory: 11089 grad_norm: 4.8401 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3657 loss: 1.3657 2022/08/03 19:53:11 - mmengine - INFO - Epoch(train) [113][900/1879] lr: 2.0000e-03 eta: 17:51:36 time: 0.9385 data_time: 0.0310 memory: 11089 grad_norm: 4.7042 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2365 loss: 1.2365 2022/08/03 19:53:29 - mmengine - INFO - Epoch(train) [113][920/1879] lr: 2.0000e-03 eta: 17:51:18 time: 0.9302 data_time: 0.0316 memory: 11089 grad_norm: 4.8379 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3721 loss: 1.3721 2022/08/03 19:53:48 - mmengine - INFO - Epoch(train) [113][940/1879] lr: 2.0000e-03 eta: 17:51:00 time: 0.9188 data_time: 0.0336 memory: 11089 grad_norm: 4.8895 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5822 loss: 1.5822 2022/08/03 19:54:06 - mmengine - INFO - Epoch(train) [113][960/1879] lr: 2.0000e-03 eta: 17:50:41 time: 0.9003 data_time: 0.0239 memory: 11089 grad_norm: 4.8777 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2574 loss: 1.2574 2022/08/03 19:54:25 - mmengine - INFO - Epoch(train) [113][980/1879] lr: 2.0000e-03 eta: 17:50:23 time: 0.9375 data_time: 0.0299 memory: 11089 grad_norm: 5.0088 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5593 loss: 1.5593 2022/08/03 19:54:43 - mmengine - INFO - Epoch(train) [113][1000/1879] lr: 2.0000e-03 eta: 17:50:05 time: 0.9212 data_time: 0.0326 memory: 11089 grad_norm: 4.8754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3688 loss: 1.3688 2022/08/03 19:55:01 - mmengine - INFO - Epoch(train) [113][1020/1879] lr: 2.0000e-03 eta: 17:49:47 time: 0.9073 data_time: 0.0274 memory: 11089 grad_norm: 4.8142 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3577 loss: 1.3577 2022/08/03 19:55:19 - mmengine - INFO - Epoch(train) [113][1040/1879] lr: 2.0000e-03 eta: 17:49:29 time: 0.9016 data_time: 0.0289 memory: 11089 grad_norm: 4.9123 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3308 loss: 1.3308 2022/08/03 19:55:38 - mmengine - INFO - Epoch(train) [113][1060/1879] lr: 2.0000e-03 eta: 17:49:10 time: 0.9336 data_time: 0.0336 memory: 11089 grad_norm: 4.8512 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4270 loss: 1.4270 2022/08/03 19:55:56 - mmengine - INFO - Epoch(train) [113][1080/1879] lr: 2.0000e-03 eta: 17:48:52 time: 0.9165 data_time: 0.0319 memory: 11089 grad_norm: 4.7302 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3371 loss: 1.3371 2022/08/03 19:56:15 - mmengine - INFO - Epoch(train) [113][1100/1879] lr: 2.0000e-03 eta: 17:48:34 time: 0.9244 data_time: 0.0252 memory: 11089 grad_norm: 4.7911 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2886 loss: 1.2886 2022/08/03 19:56:33 - mmengine - INFO - Epoch(train) [113][1120/1879] lr: 2.0000e-03 eta: 17:48:16 time: 0.9304 data_time: 0.0328 memory: 11089 grad_norm: 4.7867 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3812 loss: 1.3812 2022/08/03 19:56:51 - mmengine - INFO - Epoch(train) [113][1140/1879] lr: 2.0000e-03 eta: 17:47:58 time: 0.9077 data_time: 0.0261 memory: 11089 grad_norm: 4.8162 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1263 loss: 1.1263 2022/08/03 19:57:10 - mmengine - INFO - Epoch(train) [113][1160/1879] lr: 2.0000e-03 eta: 17:47:40 time: 0.9278 data_time: 0.0268 memory: 11089 grad_norm: 4.7832 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.3875 loss: 1.3875 2022/08/03 19:57:29 - mmengine - INFO - Epoch(train) [113][1180/1879] lr: 2.0000e-03 eta: 17:47:21 time: 0.9353 data_time: 0.0333 memory: 11089 grad_norm: 4.8119 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.3073 loss: 1.3073 2022/08/03 19:57:47 - mmengine - INFO - Epoch(train) [113][1200/1879] lr: 2.0000e-03 eta: 17:47:03 time: 0.9037 data_time: 0.0263 memory: 11089 grad_norm: 4.8144 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4013 loss: 1.4013 2022/08/03 19:58:05 - mmengine - INFO - Epoch(train) [113][1220/1879] lr: 2.0000e-03 eta: 17:46:45 time: 0.8998 data_time: 0.0189 memory: 11089 grad_norm: 4.8537 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4277 loss: 1.4277 2022/08/03 19:58:23 - mmengine - INFO - Epoch(train) [113][1240/1879] lr: 2.0000e-03 eta: 17:46:27 time: 0.9169 data_time: 0.0242 memory: 11089 grad_norm: 4.8424 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1874 loss: 1.1874 2022/08/03 19:58:42 - mmengine - INFO - Epoch(train) [113][1260/1879] lr: 2.0000e-03 eta: 17:46:08 time: 0.9206 data_time: 0.0323 memory: 11089 grad_norm: 4.9421 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4105 loss: 1.4105 2022/08/03 19:59:00 - mmengine - INFO - Epoch(train) [113][1280/1879] lr: 2.0000e-03 eta: 17:45:50 time: 0.9187 data_time: 0.0290 memory: 11089 grad_norm: 4.7352 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2853 loss: 1.2853 2022/08/03 19:59:18 - mmengine - INFO - Epoch(train) [113][1300/1879] lr: 2.0000e-03 eta: 17:45:32 time: 0.9180 data_time: 0.0265 memory: 11089 grad_norm: 4.8622 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1951 loss: 1.1951 2022/08/03 19:59:37 - mmengine - INFO - Epoch(train) [113][1320/1879] lr: 2.0000e-03 eta: 17:45:14 time: 0.9106 data_time: 0.0271 memory: 11089 grad_norm: 4.8176 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4918 loss: 1.4918 2022/08/03 19:59:55 - mmengine - INFO - Epoch(train) [113][1340/1879] lr: 2.0000e-03 eta: 17:44:56 time: 0.9303 data_time: 0.0236 memory: 11089 grad_norm: 4.8859 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2590 loss: 1.2590 2022/08/03 20:00:14 - mmengine - INFO - Epoch(train) [113][1360/1879] lr: 2.0000e-03 eta: 17:44:38 time: 0.9243 data_time: 0.0318 memory: 11089 grad_norm: 4.7854 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2774 loss: 1.2774 2022/08/03 20:00:32 - mmengine - INFO - Epoch(train) [113][1380/1879] lr: 2.0000e-03 eta: 17:44:19 time: 0.9224 data_time: 0.0256 memory: 11089 grad_norm: 4.7889 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2935 loss: 1.2935 2022/08/03 20:00:50 - mmengine - INFO - Epoch(train) [113][1400/1879] lr: 2.0000e-03 eta: 17:44:01 time: 0.9161 data_time: 0.0282 memory: 11089 grad_norm: 4.8700 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3302 loss: 1.3302 2022/08/03 20:01:09 - mmengine - INFO - Epoch(train) [113][1420/1879] lr: 2.0000e-03 eta: 17:43:43 time: 0.9359 data_time: 0.0395 memory: 11089 grad_norm: 4.7724 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3582 loss: 1.3582 2022/08/03 20:01:27 - mmengine - INFO - Epoch(train) [113][1440/1879] lr: 2.0000e-03 eta: 17:43:25 time: 0.9139 data_time: 0.0233 memory: 11089 grad_norm: 4.8487 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5523 loss: 1.5523 2022/08/03 20:01:45 - mmengine - INFO - Epoch(train) [113][1460/1879] lr: 2.0000e-03 eta: 17:43:07 time: 0.9042 data_time: 0.0208 memory: 11089 grad_norm: 4.7341 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2940 loss: 1.2940 2022/08/03 20:02:04 - mmengine - INFO - Epoch(train) [113][1480/1879] lr: 2.0000e-03 eta: 17:42:48 time: 0.9111 data_time: 0.0271 memory: 11089 grad_norm: 4.8770 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2890 loss: 1.2890 2022/08/03 20:02:22 - mmengine - INFO - Epoch(train) [113][1500/1879] lr: 2.0000e-03 eta: 17:42:30 time: 0.9315 data_time: 0.0270 memory: 11089 grad_norm: 4.8074 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3764 loss: 1.3764 2022/08/03 20:02:41 - mmengine - INFO - Epoch(train) [113][1520/1879] lr: 2.0000e-03 eta: 17:42:12 time: 0.9198 data_time: 0.0274 memory: 11089 grad_norm: 4.9071 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4286 loss: 1.4286 2022/08/03 20:02:59 - mmengine - INFO - Epoch(train) [113][1540/1879] lr: 2.0000e-03 eta: 17:41:54 time: 0.9284 data_time: 0.0336 memory: 11089 grad_norm: 4.9374 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3565 loss: 1.3565 2022/08/03 20:03:10 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 20:03:17 - mmengine - INFO - Epoch(train) [113][1560/1879] lr: 2.0000e-03 eta: 17:41:36 time: 0.9046 data_time: 0.0281 memory: 11089 grad_norm: 4.7643 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.2705 loss: 1.2705 2022/08/03 20:03:36 - mmengine - INFO - Epoch(train) [113][1580/1879] lr: 2.0000e-03 eta: 17:41:17 time: 0.9196 data_time: 0.0267 memory: 11089 grad_norm: 4.7386 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4716 loss: 1.4716 2022/08/03 20:03:54 - mmengine - INFO - Epoch(train) [113][1600/1879] lr: 2.0000e-03 eta: 17:40:59 time: 0.9144 data_time: 0.0297 memory: 11089 grad_norm: 4.8742 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3926 loss: 1.3926 2022/08/03 20:04:13 - mmengine - INFO - Epoch(train) [113][1620/1879] lr: 2.0000e-03 eta: 17:40:41 time: 0.9214 data_time: 0.0282 memory: 11089 grad_norm: 4.8902 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1183 loss: 1.1183 2022/08/03 20:04:31 - mmengine - INFO - Epoch(train) [113][1640/1879] lr: 2.0000e-03 eta: 17:40:23 time: 0.9300 data_time: 0.0296 memory: 11089 grad_norm: 4.7714 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4980 loss: 1.4980 2022/08/03 20:04:49 - mmengine - INFO - Epoch(train) [113][1660/1879] lr: 2.0000e-03 eta: 17:40:05 time: 0.9150 data_time: 0.0325 memory: 11089 grad_norm: 4.9028 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2993 loss: 1.2993 2022/08/03 20:05:08 - mmengine - INFO - Epoch(train) [113][1680/1879] lr: 2.0000e-03 eta: 17:39:46 time: 0.9153 data_time: 0.0260 memory: 11089 grad_norm: 4.8286 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3335 loss: 1.3335 2022/08/03 20:05:26 - mmengine - INFO - Epoch(train) [113][1700/1879] lr: 2.0000e-03 eta: 17:39:28 time: 0.9275 data_time: 0.0238 memory: 11089 grad_norm: 4.8596 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2489 loss: 1.2489 2022/08/03 20:05:45 - mmengine - INFO - Epoch(train) [113][1720/1879] lr: 2.0000e-03 eta: 17:39:10 time: 0.9124 data_time: 0.0263 memory: 11089 grad_norm: 4.8038 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1989 loss: 1.1989 2022/08/03 20:06:03 - mmengine - INFO - Epoch(train) [113][1740/1879] lr: 2.0000e-03 eta: 17:38:52 time: 0.9378 data_time: 0.0307 memory: 11089 grad_norm: 4.7983 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3429 loss: 1.3429 2022/08/03 20:06:22 - mmengine - INFO - Epoch(train) [113][1760/1879] lr: 2.0000e-03 eta: 17:38:34 time: 0.9189 data_time: 0.0244 memory: 11089 grad_norm: 4.9177 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6377 loss: 1.6377 2022/08/03 20:06:40 - mmengine - INFO - Epoch(train) [113][1780/1879] lr: 2.0000e-03 eta: 17:38:16 time: 0.9212 data_time: 0.0201 memory: 11089 grad_norm: 4.8218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1392 loss: 1.1392 2022/08/03 20:06:59 - mmengine - INFO - Epoch(train) [113][1800/1879] lr: 2.0000e-03 eta: 17:37:57 time: 0.9193 data_time: 0.0213 memory: 11089 grad_norm: 4.8660 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2627 loss: 1.2627 2022/08/03 20:07:17 - mmengine - INFO - Epoch(train) [113][1820/1879] lr: 2.0000e-03 eta: 17:37:39 time: 0.9218 data_time: 0.0323 memory: 11089 grad_norm: 4.8893 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4356 loss: 1.4356 2022/08/03 20:07:36 - mmengine - INFO - Epoch(train) [113][1840/1879] lr: 2.0000e-03 eta: 17:37:21 time: 0.9303 data_time: 0.0254 memory: 11089 grad_norm: 4.7589 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1631 loss: 1.1631 2022/08/03 20:07:54 - mmengine - INFO - Epoch(train) [113][1860/1879] lr: 2.0000e-03 eta: 17:37:03 time: 0.9004 data_time: 0.0234 memory: 11089 grad_norm: 4.8029 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3177 loss: 1.3177 2022/08/03 20:08:11 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 20:08:11 - mmengine - INFO - Epoch(train) [113][1879/1879] lr: 2.0000e-03 eta: 17:37:03 time: 0.9084 data_time: 0.0318 memory: 11089 grad_norm: 4.9564 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.3734 loss: 1.3734 2022/08/03 20:08:32 - mmengine - INFO - Epoch(train) [114][20/1879] lr: 2.0000e-03 eta: 17:36:22 time: 1.0276 data_time: 0.1440 memory: 11089 grad_norm: 4.8762 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4057 loss: 1.4057 2022/08/03 20:08:50 - mmengine - INFO - Epoch(train) [114][40/1879] lr: 2.0000e-03 eta: 17:36:04 time: 0.9253 data_time: 0.0287 memory: 11089 grad_norm: 4.5949 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1144 loss: 1.1144 2022/08/03 20:09:08 - mmengine - INFO - Epoch(train) [114][60/1879] lr: 2.0000e-03 eta: 17:35:46 time: 0.9048 data_time: 0.0216 memory: 11089 grad_norm: 4.8529 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2692 loss: 1.2692 2022/08/03 20:09:27 - mmengine - INFO - Epoch(train) [114][80/1879] lr: 2.0000e-03 eta: 17:35:28 time: 0.9393 data_time: 0.0256 memory: 11089 grad_norm: 4.7801 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2120 loss: 1.2120 2022/08/03 20:09:46 - mmengine - INFO - Epoch(train) [114][100/1879] lr: 2.0000e-03 eta: 17:35:10 time: 0.9318 data_time: 0.0303 memory: 11089 grad_norm: 4.8666 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5097 loss: 1.5097 2022/08/03 20:10:04 - mmengine - INFO - Epoch(train) [114][120/1879] lr: 2.0000e-03 eta: 17:34:51 time: 0.9098 data_time: 0.0252 memory: 11089 grad_norm: 4.8819 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3273 loss: 1.3273 2022/08/03 20:10:22 - mmengine - INFO - Epoch(train) [114][140/1879] lr: 2.0000e-03 eta: 17:34:33 time: 0.9310 data_time: 0.0310 memory: 11089 grad_norm: 4.8190 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1848 loss: 1.1848 2022/08/03 20:10:41 - mmengine - INFO - Epoch(train) [114][160/1879] lr: 2.0000e-03 eta: 17:34:15 time: 0.9253 data_time: 0.0270 memory: 11089 grad_norm: 4.7742 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3314 loss: 1.3314 2022/08/03 20:11:00 - mmengine - INFO - Epoch(train) [114][180/1879] lr: 2.0000e-03 eta: 17:33:57 time: 0.9260 data_time: 0.0300 memory: 11089 grad_norm: 4.9277 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2586 loss: 1.2586 2022/08/03 20:11:18 - mmengine - INFO - Epoch(train) [114][200/1879] lr: 2.0000e-03 eta: 17:33:39 time: 0.9281 data_time: 0.0312 memory: 11089 grad_norm: 4.8554 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.2941 loss: 1.2941 2022/08/03 20:11:37 - mmengine - INFO - Epoch(train) [114][220/1879] lr: 2.0000e-03 eta: 17:33:21 time: 0.9257 data_time: 0.0314 memory: 11089 grad_norm: 4.8417 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2875 loss: 1.2875 2022/08/03 20:11:56 - mmengine - INFO - Epoch(train) [114][240/1879] lr: 2.0000e-03 eta: 17:33:03 time: 0.9499 data_time: 0.0268 memory: 11089 grad_norm: 4.7921 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3672 loss: 1.3672 2022/08/03 20:12:15 - mmengine - INFO - Epoch(train) [114][260/1879] lr: 2.0000e-03 eta: 17:32:45 time: 0.9650 data_time: 0.0321 memory: 11089 grad_norm: 4.8202 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3153 loss: 1.3153 2022/08/03 20:12:33 - mmengine - INFO - Epoch(train) [114][280/1879] lr: 2.0000e-03 eta: 17:32:27 time: 0.9171 data_time: 0.0301 memory: 11089 grad_norm: 4.8439 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1641 loss: 1.1641 2022/08/03 20:12:52 - mmengine - INFO - Epoch(train) [114][300/1879] lr: 2.0000e-03 eta: 17:32:09 time: 0.9293 data_time: 0.0262 memory: 11089 grad_norm: 4.9640 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5622 loss: 1.5622 2022/08/03 20:13:10 - mmengine - INFO - Epoch(train) [114][320/1879] lr: 2.0000e-03 eta: 17:31:50 time: 0.8943 data_time: 0.0191 memory: 11089 grad_norm: 4.8744 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3555 loss: 1.3555 2022/08/03 20:13:28 - mmengine - INFO - Epoch(train) [114][340/1879] lr: 2.0000e-03 eta: 17:31:32 time: 0.9072 data_time: 0.0251 memory: 11089 grad_norm: 4.9083 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5389 loss: 1.5389 2022/08/03 20:13:46 - mmengine - INFO - Epoch(train) [114][360/1879] lr: 2.0000e-03 eta: 17:31:14 time: 0.9197 data_time: 0.0402 memory: 11089 grad_norm: 4.8608 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4957 loss: 1.4957 2022/08/03 20:14:05 - mmengine - INFO - Epoch(train) [114][380/1879] lr: 2.0000e-03 eta: 17:30:56 time: 0.9308 data_time: 0.0318 memory: 11089 grad_norm: 4.8782 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2809 loss: 1.2809 2022/08/03 20:14:24 - mmengine - INFO - Epoch(train) [114][400/1879] lr: 2.0000e-03 eta: 17:30:38 time: 0.9401 data_time: 0.0354 memory: 11089 grad_norm: 4.8860 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4385 loss: 1.4385 2022/08/03 20:14:42 - mmengine - INFO - Epoch(train) [114][420/1879] lr: 2.0000e-03 eta: 17:30:19 time: 0.9150 data_time: 0.0254 memory: 11089 grad_norm: 4.7835 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2375 loss: 1.2375 2022/08/03 20:15:00 - mmengine - INFO - Epoch(train) [114][440/1879] lr: 2.0000e-03 eta: 17:30:01 time: 0.9247 data_time: 0.0323 memory: 11089 grad_norm: 4.8743 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2730 loss: 1.2730 2022/08/03 20:15:19 - mmengine - INFO - Epoch(train) [114][460/1879] lr: 2.0000e-03 eta: 17:29:43 time: 0.9280 data_time: 0.0282 memory: 11089 grad_norm: 5.0407 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1194 loss: 1.1194 2022/08/03 20:15:37 - mmengine - INFO - Epoch(train) [114][480/1879] lr: 2.0000e-03 eta: 17:29:25 time: 0.8906 data_time: 0.0247 memory: 11089 grad_norm: 5.0173 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2372 loss: 1.2372 2022/08/03 20:15:55 - mmengine - INFO - Epoch(train) [114][500/1879] lr: 2.0000e-03 eta: 17:29:06 time: 0.9051 data_time: 0.0226 memory: 11089 grad_norm: 4.8728 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5288 loss: 1.5288 2022/08/03 20:16:13 - mmengine - INFO - Epoch(train) [114][520/1879] lr: 2.0000e-03 eta: 17:28:48 time: 0.9243 data_time: 0.0300 memory: 11089 grad_norm: 4.7990 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2019 loss: 1.2019 2022/08/03 20:16:32 - mmengine - INFO - Epoch(train) [114][540/1879] lr: 2.0000e-03 eta: 17:28:30 time: 0.9215 data_time: 0.0283 memory: 11089 grad_norm: 4.8400 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4004 loss: 1.4004 2022/08/03 20:16:50 - mmengine - INFO - Epoch(train) [114][560/1879] lr: 2.0000e-03 eta: 17:28:12 time: 0.8858 data_time: 0.0242 memory: 11089 grad_norm: 4.7776 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2750 loss: 1.2750 2022/08/03 20:17:08 - mmengine - INFO - Epoch(train) [114][580/1879] lr: 2.0000e-03 eta: 17:27:53 time: 0.9119 data_time: 0.0324 memory: 11089 grad_norm: 4.8101 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4746 loss: 1.4746 2022/08/03 20:17:26 - mmengine - INFO - Epoch(train) [114][600/1879] lr: 2.0000e-03 eta: 17:27:35 time: 0.9014 data_time: 0.0245 memory: 11089 grad_norm: 4.8659 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3169 loss: 1.3169 2022/08/03 20:17:44 - mmengine - INFO - Epoch(train) [114][620/1879] lr: 2.0000e-03 eta: 17:27:17 time: 0.9144 data_time: 0.0264 memory: 11089 grad_norm: 4.8059 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3922 loss: 1.3922 2022/08/03 20:18:02 - mmengine - INFO - Epoch(train) [114][640/1879] lr: 2.0000e-03 eta: 17:26:59 time: 0.9146 data_time: 0.0351 memory: 11089 grad_norm: 4.8991 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4066 loss: 1.4066 2022/08/03 20:18:21 - mmengine - INFO - Epoch(train) [114][660/1879] lr: 2.0000e-03 eta: 17:26:40 time: 0.9147 data_time: 0.0271 memory: 11089 grad_norm: 4.9154 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5368 loss: 1.5368 2022/08/03 20:18:33 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 20:18:39 - mmengine - INFO - Epoch(train) [114][680/1879] lr: 2.0000e-03 eta: 17:26:22 time: 0.9249 data_time: 0.0328 memory: 11089 grad_norm: 4.6616 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3874 loss: 1.3874 2022/08/03 20:18:58 - mmengine - INFO - Epoch(train) [114][700/1879] lr: 2.0000e-03 eta: 17:26:04 time: 0.9236 data_time: 0.0310 memory: 11089 grad_norm: 4.6918 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1905 loss: 1.1905 2022/08/03 20:19:16 - mmengine - INFO - Epoch(train) [114][720/1879] lr: 2.0000e-03 eta: 17:25:46 time: 0.9319 data_time: 0.0299 memory: 11089 grad_norm: 4.8673 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4888 loss: 1.4888 2022/08/03 20:19:35 - mmengine - INFO - Epoch(train) [114][740/1879] lr: 2.0000e-03 eta: 17:25:28 time: 0.9125 data_time: 0.0226 memory: 11089 grad_norm: 4.9062 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1585 loss: 1.1585 2022/08/03 20:19:53 - mmengine - INFO - Epoch(train) [114][760/1879] lr: 2.0000e-03 eta: 17:25:09 time: 0.9036 data_time: 0.0230 memory: 11089 grad_norm: 4.7495 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2243 loss: 1.2243 2022/08/03 20:20:11 - mmengine - INFO - Epoch(train) [114][780/1879] lr: 2.0000e-03 eta: 17:24:51 time: 0.9368 data_time: 0.0266 memory: 11089 grad_norm: 4.8909 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3290 loss: 1.3290 2022/08/03 20:20:30 - mmengine - INFO - Epoch(train) [114][800/1879] lr: 2.0000e-03 eta: 17:24:33 time: 0.9040 data_time: 0.0232 memory: 11089 grad_norm: 4.8598 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2111 loss: 1.2111 2022/08/03 20:20:47 - mmengine - INFO - Epoch(train) [114][820/1879] lr: 2.0000e-03 eta: 17:24:15 time: 0.8892 data_time: 0.0241 memory: 11089 grad_norm: 4.9324 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5442 loss: 1.5442 2022/08/03 20:21:06 - mmengine - INFO - Epoch(train) [114][840/1879] lr: 2.0000e-03 eta: 17:23:57 time: 0.9245 data_time: 0.0296 memory: 11089 grad_norm: 4.9521 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6396 loss: 1.6396 2022/08/03 20:21:24 - mmengine - INFO - Epoch(train) [114][860/1879] lr: 2.0000e-03 eta: 17:23:38 time: 0.9077 data_time: 0.0247 memory: 11089 grad_norm: 4.9093 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3170 loss: 1.3170 2022/08/03 20:21:42 - mmengine - INFO - Epoch(train) [114][880/1879] lr: 2.0000e-03 eta: 17:23:20 time: 0.8991 data_time: 0.0225 memory: 11089 grad_norm: 4.9052 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4212 loss: 1.4212 2022/08/03 20:22:01 - mmengine - INFO - Epoch(train) [114][900/1879] lr: 2.0000e-03 eta: 17:23:02 time: 0.9335 data_time: 0.0307 memory: 11089 grad_norm: 4.7587 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1759 loss: 1.1759 2022/08/03 20:22:19 - mmengine - INFO - Epoch(train) [114][920/1879] lr: 2.0000e-03 eta: 17:22:44 time: 0.9370 data_time: 0.0333 memory: 11089 grad_norm: 4.7473 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3975 loss: 1.3975 2022/08/03 20:22:38 - mmengine - INFO - Epoch(train) [114][940/1879] lr: 2.0000e-03 eta: 17:22:26 time: 0.9182 data_time: 0.0349 memory: 11089 grad_norm: 4.8621 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2549 loss: 1.2549 2022/08/03 20:22:57 - mmengine - INFO - Epoch(train) [114][960/1879] lr: 2.0000e-03 eta: 17:22:07 time: 0.9353 data_time: 0.0309 memory: 11089 grad_norm: 5.0311 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2743 loss: 1.2743 2022/08/03 20:23:15 - mmengine - INFO - Epoch(train) [114][980/1879] lr: 2.0000e-03 eta: 17:21:49 time: 0.9235 data_time: 0.0265 memory: 11089 grad_norm: 4.8929 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2756 loss: 1.2756 2022/08/03 20:23:33 - mmengine - INFO - Epoch(train) [114][1000/1879] lr: 2.0000e-03 eta: 17:21:31 time: 0.9058 data_time: 0.0259 memory: 11089 grad_norm: 4.7882 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3540 loss: 1.3540 2022/08/03 20:23:51 - mmengine - INFO - Epoch(train) [114][1020/1879] lr: 2.0000e-03 eta: 17:21:13 time: 0.9070 data_time: 0.0266 memory: 11089 grad_norm: 4.8353 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3116 loss: 1.3116 2022/08/03 20:24:09 - mmengine - INFO - Epoch(train) [114][1040/1879] lr: 2.0000e-03 eta: 17:20:54 time: 0.9091 data_time: 0.0306 memory: 11089 grad_norm: 5.0042 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3731 loss: 1.3731 2022/08/03 20:24:28 - mmengine - INFO - Epoch(train) [114][1060/1879] lr: 2.0000e-03 eta: 17:20:36 time: 0.9091 data_time: 0.0279 memory: 11089 grad_norm: 4.8638 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3706 loss: 1.3706 2022/08/03 20:24:46 - mmengine - INFO - Epoch(train) [114][1080/1879] lr: 2.0000e-03 eta: 17:20:18 time: 0.9218 data_time: 0.0238 memory: 11089 grad_norm: 4.8956 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3425 loss: 1.3425 2022/08/03 20:25:04 - mmengine - INFO - Epoch(train) [114][1100/1879] lr: 2.0000e-03 eta: 17:20:00 time: 0.9124 data_time: 0.0256 memory: 11089 grad_norm: 4.8300 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3418 loss: 1.3418 2022/08/03 20:25:22 - mmengine - INFO - Epoch(train) [114][1120/1879] lr: 2.0000e-03 eta: 17:19:42 time: 0.9069 data_time: 0.0292 memory: 11089 grad_norm: 4.8366 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2162 loss: 1.2162 2022/08/03 20:25:41 - mmengine - INFO - Epoch(train) [114][1140/1879] lr: 2.0000e-03 eta: 17:19:23 time: 0.9172 data_time: 0.0272 memory: 11089 grad_norm: 4.8069 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2700 loss: 1.2700 2022/08/03 20:25:59 - mmengine - INFO - Epoch(train) [114][1160/1879] lr: 2.0000e-03 eta: 17:19:05 time: 0.9097 data_time: 0.0287 memory: 11089 grad_norm: 4.7635 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3127 loss: 1.3127 2022/08/03 20:26:17 - mmengine - INFO - Epoch(train) [114][1180/1879] lr: 2.0000e-03 eta: 17:18:47 time: 0.9152 data_time: 0.0278 memory: 11089 grad_norm: 4.9107 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3937 loss: 1.3937 2022/08/03 20:26:36 - mmengine - INFO - Epoch(train) [114][1200/1879] lr: 2.0000e-03 eta: 17:18:29 time: 0.9221 data_time: 0.0325 memory: 11089 grad_norm: 4.9215 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4583 loss: 1.4583 2022/08/03 20:26:54 - mmengine - INFO - Epoch(train) [114][1220/1879] lr: 2.0000e-03 eta: 17:18:11 time: 0.9326 data_time: 0.0332 memory: 11089 grad_norm: 4.9195 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2395 loss: 1.2395 2022/08/03 20:27:13 - mmengine - INFO - Epoch(train) [114][1240/1879] lr: 2.0000e-03 eta: 17:17:52 time: 0.9301 data_time: 0.0277 memory: 11089 grad_norm: 4.9733 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4400 loss: 1.4400 2022/08/03 20:27:32 - mmengine - INFO - Epoch(train) [114][1260/1879] lr: 2.0000e-03 eta: 17:17:34 time: 0.9327 data_time: 0.0322 memory: 11089 grad_norm: 4.9613 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3889 loss: 1.3889 2022/08/03 20:27:50 - mmengine - INFO - Epoch(train) [114][1280/1879] lr: 2.0000e-03 eta: 17:17:16 time: 0.9089 data_time: 0.0235 memory: 11089 grad_norm: 4.9271 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3807 loss: 1.3807 2022/08/03 20:28:09 - mmengine - INFO - Epoch(train) [114][1300/1879] lr: 2.0000e-03 eta: 17:16:58 time: 0.9365 data_time: 0.0283 memory: 11089 grad_norm: 4.9440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1589 loss: 1.1589 2022/08/03 20:28:27 - mmengine - INFO - Epoch(train) [114][1320/1879] lr: 2.0000e-03 eta: 17:16:40 time: 0.9298 data_time: 0.0235 memory: 11089 grad_norm: 4.8018 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3837 loss: 1.3837 2022/08/03 20:28:46 - mmengine - INFO - Epoch(train) [114][1340/1879] lr: 2.0000e-03 eta: 17:16:22 time: 0.9426 data_time: 0.0283 memory: 11089 grad_norm: 4.8747 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3087 loss: 1.3087 2022/08/03 20:29:05 - mmengine - INFO - Epoch(train) [114][1360/1879] lr: 2.0000e-03 eta: 17:16:04 time: 0.9328 data_time: 0.0309 memory: 11089 grad_norm: 4.7185 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3168 loss: 1.3168 2022/08/03 20:29:23 - mmengine - INFO - Epoch(train) [114][1380/1879] lr: 2.0000e-03 eta: 17:15:46 time: 0.9154 data_time: 0.0310 memory: 11089 grad_norm: 5.0490 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3570 loss: 1.3570 2022/08/03 20:29:42 - mmengine - INFO - Epoch(train) [114][1400/1879] lr: 2.0000e-03 eta: 17:15:27 time: 0.9259 data_time: 0.0241 memory: 11089 grad_norm: 5.0620 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4997 loss: 1.4997 2022/08/03 20:30:00 - mmengine - INFO - Epoch(train) [114][1420/1879] lr: 2.0000e-03 eta: 17:15:09 time: 0.9164 data_time: 0.0347 memory: 11089 grad_norm: 4.8815 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2173 loss: 1.2173 2022/08/03 20:30:18 - mmengine - INFO - Epoch(train) [114][1440/1879] lr: 2.0000e-03 eta: 17:14:51 time: 0.9128 data_time: 0.0256 memory: 11089 grad_norm: 4.7950 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2538 loss: 1.2538 2022/08/03 20:30:37 - mmengine - INFO - Epoch(train) [114][1460/1879] lr: 2.0000e-03 eta: 17:14:33 time: 0.9474 data_time: 0.0323 memory: 11089 grad_norm: 4.9921 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6647 loss: 1.6647 2022/08/03 20:30:56 - mmengine - INFO - Epoch(train) [114][1480/1879] lr: 2.0000e-03 eta: 17:14:15 time: 0.9238 data_time: 0.0319 memory: 11089 grad_norm: 4.8639 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3472 loss: 1.3472 2022/08/03 20:31:14 - mmengine - INFO - Epoch(train) [114][1500/1879] lr: 2.0000e-03 eta: 17:13:57 time: 0.9180 data_time: 0.0270 memory: 11089 grad_norm: 5.0592 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2800 loss: 1.2800 2022/08/03 20:31:32 - mmengine - INFO - Epoch(train) [114][1520/1879] lr: 2.0000e-03 eta: 17:13:38 time: 0.9150 data_time: 0.0274 memory: 11089 grad_norm: 4.9272 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3386 loss: 1.3386 2022/08/03 20:31:50 - mmengine - INFO - Epoch(train) [114][1540/1879] lr: 2.0000e-03 eta: 17:13:20 time: 0.9029 data_time: 0.0291 memory: 11089 grad_norm: 4.8095 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3042 loss: 1.3042 2022/08/03 20:32:09 - mmengine - INFO - Epoch(train) [114][1560/1879] lr: 2.0000e-03 eta: 17:13:02 time: 0.9148 data_time: 0.0258 memory: 11089 grad_norm: 4.9189 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4454 loss: 1.4454 2022/08/03 20:32:27 - mmengine - INFO - Epoch(train) [114][1580/1879] lr: 2.0000e-03 eta: 17:12:43 time: 0.9014 data_time: 0.0243 memory: 11089 grad_norm: 5.0279 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1419 loss: 1.1419 2022/08/03 20:32:45 - mmengine - INFO - Epoch(train) [114][1600/1879] lr: 2.0000e-03 eta: 17:12:25 time: 0.9167 data_time: 0.0289 memory: 11089 grad_norm: 4.9294 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1703 loss: 1.1703 2022/08/03 20:33:03 - mmengine - INFO - Epoch(train) [114][1620/1879] lr: 2.0000e-03 eta: 17:12:07 time: 0.9113 data_time: 0.0225 memory: 11089 grad_norm: 4.8849 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3270 loss: 1.3270 2022/08/03 20:33:22 - mmengine - INFO - Epoch(train) [114][1640/1879] lr: 2.0000e-03 eta: 17:11:49 time: 0.9353 data_time: 0.0258 memory: 11089 grad_norm: 5.0534 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4085 loss: 1.4085 2022/08/03 20:33:40 - mmengine - INFO - Epoch(train) [114][1660/1879] lr: 2.0000e-03 eta: 17:11:31 time: 0.9141 data_time: 0.0293 memory: 11089 grad_norm: 4.8977 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3656 loss: 1.3656 2022/08/03 20:33:52 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 20:33:59 - mmengine - INFO - Epoch(train) [114][1680/1879] lr: 2.0000e-03 eta: 17:11:12 time: 0.9155 data_time: 0.0222 memory: 11089 grad_norm: 4.8686 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3639 loss: 1.3639 2022/08/03 20:34:17 - mmengine - INFO - Epoch(train) [114][1700/1879] lr: 2.0000e-03 eta: 17:10:54 time: 0.9097 data_time: 0.0256 memory: 11089 grad_norm: 4.9116 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4411 loss: 1.4411 2022/08/03 20:34:35 - mmengine - INFO - Epoch(train) [114][1720/1879] lr: 2.0000e-03 eta: 17:10:36 time: 0.9290 data_time: 0.0237 memory: 11089 grad_norm: 4.9528 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4541 loss: 1.4541 2022/08/03 20:34:54 - mmengine - INFO - Epoch(train) [114][1740/1879] lr: 2.0000e-03 eta: 17:10:18 time: 0.9473 data_time: 0.0349 memory: 11089 grad_norm: 5.0610 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3584 loss: 1.3584 2022/08/03 20:35:12 - mmengine - INFO - Epoch(train) [114][1760/1879] lr: 2.0000e-03 eta: 17:10:00 time: 0.9082 data_time: 0.0308 memory: 11089 grad_norm: 4.9081 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5365 loss: 1.5365 2022/08/03 20:35:31 - mmengine - INFO - Epoch(train) [114][1780/1879] lr: 2.0000e-03 eta: 17:09:42 time: 0.9078 data_time: 0.0253 memory: 11089 grad_norm: 4.9757 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2651 loss: 1.2651 2022/08/03 20:35:50 - mmengine - INFO - Epoch(train) [114][1800/1879] lr: 2.0000e-03 eta: 17:09:24 time: 0.9430 data_time: 0.0298 memory: 11089 grad_norm: 4.9376 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7295 loss: 1.7295 2022/08/03 20:36:08 - mmengine - INFO - Epoch(train) [114][1820/1879] lr: 2.0000e-03 eta: 17:09:05 time: 0.9155 data_time: 0.0336 memory: 11089 grad_norm: 4.8780 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3462 loss: 1.3462 2022/08/03 20:36:27 - mmengine - INFO - Epoch(train) [114][1840/1879] lr: 2.0000e-03 eta: 17:08:47 time: 0.9455 data_time: 0.0337 memory: 11089 grad_norm: 4.8287 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1855 loss: 1.1855 2022/08/03 20:36:45 - mmengine - INFO - Epoch(train) [114][1860/1879] lr: 2.0000e-03 eta: 17:08:29 time: 0.9129 data_time: 0.0274 memory: 11089 grad_norm: 4.9258 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4183 loss: 1.4183 2022/08/03 20:37:02 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 20:37:02 - mmengine - INFO - Epoch(train) [114][1879/1879] lr: 2.0000e-03 eta: 17:08:29 time: 0.9107 data_time: 0.0249 memory: 11089 grad_norm: 5.0709 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.3959 loss: 1.3959 2022/08/03 20:37:23 - mmengine - INFO - Epoch(train) [115][20/1879] lr: 2.0000e-03 eta: 17:07:49 time: 1.0417 data_time: 0.1553 memory: 11089 grad_norm: 4.9165 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4823 loss: 1.4823 2022/08/03 20:37:42 - mmengine - INFO - Epoch(train) [115][40/1879] lr: 2.0000e-03 eta: 17:07:31 time: 0.9123 data_time: 0.0243 memory: 11089 grad_norm: 4.9321 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5112 loss: 1.5112 2022/08/03 20:38:00 - mmengine - INFO - Epoch(train) [115][60/1879] lr: 2.0000e-03 eta: 17:07:12 time: 0.9125 data_time: 0.0298 memory: 11089 grad_norm: 4.9279 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3328 loss: 1.3328 2022/08/03 20:38:18 - mmengine - INFO - Epoch(train) [115][80/1879] lr: 2.0000e-03 eta: 17:06:54 time: 0.9197 data_time: 0.0288 memory: 11089 grad_norm: 4.8694 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4074 loss: 1.4074 2022/08/03 20:38:37 - mmengine - INFO - Epoch(train) [115][100/1879] lr: 2.0000e-03 eta: 17:06:36 time: 0.9157 data_time: 0.0345 memory: 11089 grad_norm: 4.6806 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3465 loss: 1.3465 2022/08/03 20:38:55 - mmengine - INFO - Epoch(train) [115][120/1879] lr: 2.0000e-03 eta: 17:06:18 time: 0.9342 data_time: 0.0301 memory: 11089 grad_norm: 4.8538 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3871 loss: 1.3871 2022/08/03 20:39:14 - mmengine - INFO - Epoch(train) [115][140/1879] lr: 2.0000e-03 eta: 17:06:00 time: 0.9341 data_time: 0.0308 memory: 11089 grad_norm: 4.8645 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4039 loss: 1.4039 2022/08/03 20:39:32 - mmengine - INFO - Epoch(train) [115][160/1879] lr: 2.0000e-03 eta: 17:05:41 time: 0.9100 data_time: 0.0238 memory: 11089 grad_norm: 4.7720 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4586 loss: 1.4586 2022/08/03 20:39:50 - mmengine - INFO - Epoch(train) [115][180/1879] lr: 2.0000e-03 eta: 17:05:23 time: 0.9014 data_time: 0.0234 memory: 11089 grad_norm: 4.7121 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1940 loss: 1.1940 2022/08/03 20:40:08 - mmengine - INFO - Epoch(train) [115][200/1879] lr: 2.0000e-03 eta: 17:05:05 time: 0.9101 data_time: 0.0290 memory: 11089 grad_norm: 4.9697 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2578 loss: 1.2578 2022/08/03 20:40:27 - mmengine - INFO - Epoch(train) [115][220/1879] lr: 2.0000e-03 eta: 17:04:47 time: 0.9326 data_time: 0.0251 memory: 11089 grad_norm: 4.9455 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2934 loss: 1.2934 2022/08/03 20:40:46 - mmengine - INFO - Epoch(train) [115][240/1879] lr: 2.0000e-03 eta: 17:04:29 time: 0.9309 data_time: 0.0309 memory: 11089 grad_norm: 4.8347 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4485 loss: 1.4485 2022/08/03 20:41:04 - mmengine - INFO - Epoch(train) [115][260/1879] lr: 2.0000e-03 eta: 17:04:11 time: 0.9303 data_time: 0.0318 memory: 11089 grad_norm: 4.8530 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4241 loss: 1.4241 2022/08/03 20:41:23 - mmengine - INFO - Epoch(train) [115][280/1879] lr: 2.0000e-03 eta: 17:03:52 time: 0.9262 data_time: 0.0376 memory: 11089 grad_norm: 4.8222 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3254 loss: 1.3254 2022/08/03 20:41:41 - mmengine - INFO - Epoch(train) [115][300/1879] lr: 2.0000e-03 eta: 17:03:34 time: 0.9171 data_time: 0.0233 memory: 11089 grad_norm: 4.7954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3318 loss: 1.3318 2022/08/03 20:42:00 - mmengine - INFO - Epoch(train) [115][320/1879] lr: 2.0000e-03 eta: 17:03:16 time: 0.9274 data_time: 0.0319 memory: 11089 grad_norm: 4.8243 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3372 loss: 1.3372 2022/08/03 20:42:18 - mmengine - INFO - Epoch(train) [115][340/1879] lr: 2.0000e-03 eta: 17:02:58 time: 0.9226 data_time: 0.0314 memory: 11089 grad_norm: 4.7104 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2888 loss: 1.2888 2022/08/03 20:42:37 - mmengine - INFO - Epoch(train) [115][360/1879] lr: 2.0000e-03 eta: 17:02:40 time: 0.9259 data_time: 0.0276 memory: 11089 grad_norm: 5.0480 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3478 loss: 1.3478 2022/08/03 20:42:55 - mmengine - INFO - Epoch(train) [115][380/1879] lr: 2.0000e-03 eta: 17:02:22 time: 0.9352 data_time: 0.0273 memory: 11089 grad_norm: 4.8321 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2715 loss: 1.2715 2022/08/03 20:43:14 - mmengine - INFO - Epoch(train) [115][400/1879] lr: 2.0000e-03 eta: 17:02:04 time: 0.9262 data_time: 0.0239 memory: 11089 grad_norm: 4.7667 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2097 loss: 1.2097 2022/08/03 20:43:32 - mmengine - INFO - Epoch(train) [115][420/1879] lr: 2.0000e-03 eta: 17:01:45 time: 0.9095 data_time: 0.0268 memory: 11089 grad_norm: 4.9411 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3336 loss: 1.3336 2022/08/03 20:43:51 - mmengine - INFO - Epoch(train) [115][440/1879] lr: 2.0000e-03 eta: 17:01:27 time: 0.9253 data_time: 0.0266 memory: 11089 grad_norm: 4.9534 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2227 loss: 1.2227 2022/08/03 20:44:09 - mmengine - INFO - Epoch(train) [115][460/1879] lr: 2.0000e-03 eta: 17:01:09 time: 0.9010 data_time: 0.0256 memory: 11089 grad_norm: 4.9810 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2050 loss: 1.2050 2022/08/03 20:44:27 - mmengine - INFO - Epoch(train) [115][480/1879] lr: 2.0000e-03 eta: 17:00:51 time: 0.9285 data_time: 0.0250 memory: 11089 grad_norm: 4.7420 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3439 loss: 1.3439 2022/08/03 20:44:46 - mmengine - INFO - Epoch(train) [115][500/1879] lr: 2.0000e-03 eta: 17:00:33 time: 0.9374 data_time: 0.0314 memory: 11089 grad_norm: 4.9327 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5044 loss: 1.5044 2022/08/03 20:45:04 - mmengine - INFO - Epoch(train) [115][520/1879] lr: 2.0000e-03 eta: 17:00:14 time: 0.9083 data_time: 0.0253 memory: 11089 grad_norm: 4.9388 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3978 loss: 1.3978 2022/08/03 20:45:23 - mmengine - INFO - Epoch(train) [115][540/1879] lr: 2.0000e-03 eta: 16:59:56 time: 0.9244 data_time: 0.0228 memory: 11089 grad_norm: 4.8762 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2396 loss: 1.2396 2022/08/03 20:45:41 - mmengine - INFO - Epoch(train) [115][560/1879] lr: 2.0000e-03 eta: 16:59:38 time: 0.9099 data_time: 0.0321 memory: 11089 grad_norm: 5.0077 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.4022 loss: 1.4022 2022/08/03 20:45:59 - mmengine - INFO - Epoch(train) [115][580/1879] lr: 2.0000e-03 eta: 16:59:20 time: 0.9130 data_time: 0.0231 memory: 11089 grad_norm: 4.8583 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2736 loss: 1.2736 2022/08/03 20:46:18 - mmengine - INFO - Epoch(train) [115][600/1879] lr: 2.0000e-03 eta: 16:59:02 time: 0.9235 data_time: 0.0229 memory: 11089 grad_norm: 5.0107 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2918 loss: 1.2918 2022/08/03 20:46:37 - mmengine - INFO - Epoch(train) [115][620/1879] lr: 2.0000e-03 eta: 16:58:43 time: 0.9490 data_time: 0.0308 memory: 11089 grad_norm: 4.9305 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2367 loss: 1.2367 2022/08/03 20:46:55 - mmengine - INFO - Epoch(train) [115][640/1879] lr: 2.0000e-03 eta: 16:58:25 time: 0.9019 data_time: 0.0233 memory: 11089 grad_norm: 5.0188 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4265 loss: 1.4265 2022/08/03 20:47:13 - mmengine - INFO - Epoch(train) [115][660/1879] lr: 2.0000e-03 eta: 16:58:07 time: 0.9298 data_time: 0.0305 memory: 11089 grad_norm: 4.8397 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2166 loss: 1.2166 2022/08/03 20:47:31 - mmengine - INFO - Epoch(train) [115][680/1879] lr: 2.0000e-03 eta: 16:57:49 time: 0.9018 data_time: 0.0272 memory: 11089 grad_norm: 5.0088 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4159 loss: 1.4159 2022/08/03 20:47:50 - mmengine - INFO - Epoch(train) [115][700/1879] lr: 2.0000e-03 eta: 16:57:31 time: 0.9313 data_time: 0.0310 memory: 11089 grad_norm: 4.9726 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4034 loss: 1.4034 2022/08/03 20:48:09 - mmengine - INFO - Epoch(train) [115][720/1879] lr: 2.0000e-03 eta: 16:57:13 time: 0.9488 data_time: 0.0335 memory: 11089 grad_norm: 4.8518 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3102 loss: 1.3102 2022/08/03 20:48:27 - mmengine - INFO - Epoch(train) [115][740/1879] lr: 2.0000e-03 eta: 16:56:54 time: 0.9172 data_time: 0.0261 memory: 11089 grad_norm: 4.9155 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1329 loss: 1.1329 2022/08/03 20:48:46 - mmengine - INFO - Epoch(train) [115][760/1879] lr: 2.0000e-03 eta: 16:56:36 time: 0.9157 data_time: 0.0337 memory: 11089 grad_norm: 4.9518 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2911 loss: 1.2911 2022/08/03 20:49:04 - mmengine - INFO - Epoch(train) [115][780/1879] lr: 2.0000e-03 eta: 16:56:18 time: 0.9079 data_time: 0.0238 memory: 11089 grad_norm: 4.9832 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2725 loss: 1.2725 2022/08/03 20:49:17 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 20:49:22 - mmengine - INFO - Epoch(train) [115][800/1879] lr: 2.0000e-03 eta: 16:56:00 time: 0.9128 data_time: 0.0319 memory: 11089 grad_norm: 4.8715 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3591 loss: 1.3591 2022/08/03 20:49:40 - mmengine - INFO - Epoch(train) [115][820/1879] lr: 2.0000e-03 eta: 16:55:41 time: 0.9153 data_time: 0.0285 memory: 11089 grad_norm: 5.0759 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2244 loss: 1.2244 2022/08/03 20:49:58 - mmengine - INFO - Epoch(train) [115][840/1879] lr: 2.0000e-03 eta: 16:55:23 time: 0.8949 data_time: 0.0213 memory: 11089 grad_norm: 4.9220 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1931 loss: 1.1931 2022/08/03 20:50:17 - mmengine - INFO - Epoch(train) [115][860/1879] lr: 2.0000e-03 eta: 16:55:05 time: 0.9168 data_time: 0.0289 memory: 11089 grad_norm: 4.9322 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3624 loss: 1.3624 2022/08/03 20:50:36 - mmengine - INFO - Epoch(train) [115][880/1879] lr: 2.0000e-03 eta: 16:54:47 time: 0.9459 data_time: 0.0302 memory: 11089 grad_norm: 4.8145 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6509 loss: 1.6509 2022/08/03 20:50:54 - mmengine - INFO - Epoch(train) [115][900/1879] lr: 2.0000e-03 eta: 16:54:29 time: 0.9206 data_time: 0.0299 memory: 11089 grad_norm: 5.0251 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4993 loss: 1.4993 2022/08/03 20:51:12 - mmengine - INFO - Epoch(train) [115][920/1879] lr: 2.0000e-03 eta: 16:54:11 time: 0.9174 data_time: 0.0282 memory: 11089 grad_norm: 5.1470 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2943 loss: 1.2943 2022/08/03 20:51:31 - mmengine - INFO - Epoch(train) [115][940/1879] lr: 2.0000e-03 eta: 16:53:52 time: 0.9411 data_time: 0.0295 memory: 11089 grad_norm: 4.9345 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.4279 loss: 1.4279 2022/08/03 20:51:50 - mmengine - INFO - Epoch(train) [115][960/1879] lr: 2.0000e-03 eta: 16:53:34 time: 0.9216 data_time: 0.0278 memory: 11089 grad_norm: 4.8258 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2587 loss: 1.2587 2022/08/03 20:52:08 - mmengine - INFO - Epoch(train) [115][980/1879] lr: 2.0000e-03 eta: 16:53:16 time: 0.8992 data_time: 0.0234 memory: 11089 grad_norm: 4.9882 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3198 loss: 1.3198 2022/08/03 20:52:25 - mmengine - INFO - Epoch(train) [115][1000/1879] lr: 2.0000e-03 eta: 16:52:58 time: 0.8954 data_time: 0.0223 memory: 11089 grad_norm: 5.1140 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5252 loss: 1.5252 2022/08/03 20:52:43 - mmengine - INFO - Epoch(train) [115][1020/1879] lr: 2.0000e-03 eta: 16:52:39 time: 0.8949 data_time: 0.0234 memory: 11089 grad_norm: 4.9803 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1864 loss: 1.1864 2022/08/03 20:53:02 - mmengine - INFO - Epoch(train) [115][1040/1879] lr: 2.0000e-03 eta: 16:52:21 time: 0.9111 data_time: 0.0314 memory: 11089 grad_norm: 4.9684 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3023 loss: 1.3023 2022/08/03 20:53:20 - mmengine - INFO - Epoch(train) [115][1060/1879] lr: 2.0000e-03 eta: 16:52:03 time: 0.9279 data_time: 0.0281 memory: 11089 grad_norm: 4.8509 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3706 loss: 1.3706 2022/08/03 20:53:39 - mmengine - INFO - Epoch(train) [115][1080/1879] lr: 2.0000e-03 eta: 16:51:45 time: 0.9148 data_time: 0.0297 memory: 11089 grad_norm: 4.8795 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1932 loss: 1.1932 2022/08/03 20:53:57 - mmengine - INFO - Epoch(train) [115][1100/1879] lr: 2.0000e-03 eta: 16:51:26 time: 0.9177 data_time: 0.0317 memory: 11089 grad_norm: 4.9558 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3953 loss: 1.3953 2022/08/03 20:54:15 - mmengine - INFO - Epoch(train) [115][1120/1879] lr: 2.0000e-03 eta: 16:51:08 time: 0.9224 data_time: 0.0344 memory: 11089 grad_norm: 4.9560 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3261 loss: 1.3261 2022/08/03 20:54:34 - mmengine - INFO - Epoch(train) [115][1140/1879] lr: 2.0000e-03 eta: 16:50:50 time: 0.9369 data_time: 0.0301 memory: 11089 grad_norm: 4.8593 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2517 loss: 1.2517 2022/08/03 20:54:52 - mmengine - INFO - Epoch(train) [115][1160/1879] lr: 2.0000e-03 eta: 16:50:32 time: 0.9227 data_time: 0.0282 memory: 11089 grad_norm: 4.9453 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3257 loss: 1.3257 2022/08/03 20:55:11 - mmengine - INFO - Epoch(train) [115][1180/1879] lr: 2.0000e-03 eta: 16:50:14 time: 0.9184 data_time: 0.0321 memory: 11089 grad_norm: 5.0628 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5059 loss: 1.5059 2022/08/03 20:55:29 - mmengine - INFO - Epoch(train) [115][1200/1879] lr: 2.0000e-03 eta: 16:49:56 time: 0.9289 data_time: 0.0249 memory: 11089 grad_norm: 4.8490 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3939 loss: 1.3939 2022/08/03 20:55:48 - mmengine - INFO - Epoch(train) [115][1220/1879] lr: 2.0000e-03 eta: 16:49:38 time: 0.9300 data_time: 0.0270 memory: 11089 grad_norm: 4.9469 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2746 loss: 1.2746 2022/08/03 20:56:06 - mmengine - INFO - Epoch(train) [115][1240/1879] lr: 2.0000e-03 eta: 16:49:19 time: 0.9057 data_time: 0.0251 memory: 11089 grad_norm: 5.0179 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2938 loss: 1.2938 2022/08/03 20:56:25 - mmengine - INFO - Epoch(train) [115][1260/1879] lr: 2.0000e-03 eta: 16:49:01 time: 0.9253 data_time: 0.0276 memory: 11089 grad_norm: 4.9551 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3610 loss: 1.3610 2022/08/03 20:56:43 - mmengine - INFO - Epoch(train) [115][1280/1879] lr: 2.0000e-03 eta: 16:48:43 time: 0.9104 data_time: 0.0293 memory: 11089 grad_norm: 5.0847 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2418 loss: 1.2418 2022/08/03 20:57:01 - mmengine - INFO - Epoch(train) [115][1300/1879] lr: 2.0000e-03 eta: 16:48:25 time: 0.9227 data_time: 0.0274 memory: 11089 grad_norm: 4.9085 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4442 loss: 1.4442 2022/08/03 20:57:20 - mmengine - INFO - Epoch(train) [115][1320/1879] lr: 2.0000e-03 eta: 16:48:07 time: 0.9288 data_time: 0.0286 memory: 11089 grad_norm: 4.8292 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1704 loss: 1.1704 2022/08/03 20:57:38 - mmengine - INFO - Epoch(train) [115][1340/1879] lr: 2.0000e-03 eta: 16:47:48 time: 0.9164 data_time: 0.0226 memory: 11089 grad_norm: 5.0468 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4737 loss: 1.4737 2022/08/03 20:57:57 - mmengine - INFO - Epoch(train) [115][1360/1879] lr: 2.0000e-03 eta: 16:47:30 time: 0.9403 data_time: 0.0300 memory: 11089 grad_norm: 4.9507 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5855 loss: 1.5855 2022/08/03 20:58:15 - mmengine - INFO - Epoch(train) [115][1380/1879] lr: 2.0000e-03 eta: 16:47:12 time: 0.9224 data_time: 0.0315 memory: 11089 grad_norm: 4.8534 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3066 loss: 1.3066 2022/08/03 20:58:34 - mmengine - INFO - Epoch(train) [115][1400/1879] lr: 2.0000e-03 eta: 16:46:54 time: 0.9063 data_time: 0.0233 memory: 11089 grad_norm: 4.8879 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.1393 loss: 1.1393 2022/08/03 20:58:52 - mmengine - INFO - Epoch(train) [115][1420/1879] lr: 2.0000e-03 eta: 16:46:36 time: 0.8991 data_time: 0.0223 memory: 11089 grad_norm: 4.9688 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4171 loss: 1.4171 2022/08/03 20:59:10 - mmengine - INFO - Epoch(train) [115][1440/1879] lr: 2.0000e-03 eta: 16:46:17 time: 0.9230 data_time: 0.0265 memory: 11089 grad_norm: 4.9082 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4751 loss: 1.4751 2022/08/03 20:59:28 - mmengine - INFO - Epoch(train) [115][1460/1879] lr: 2.0000e-03 eta: 16:45:59 time: 0.8994 data_time: 0.0242 memory: 11089 grad_norm: 4.9529 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2203 loss: 1.2203 2022/08/03 20:59:47 - mmengine - INFO - Epoch(train) [115][1480/1879] lr: 2.0000e-03 eta: 16:45:41 time: 0.9269 data_time: 0.0294 memory: 11089 grad_norm: 4.9113 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3027 loss: 1.3027 2022/08/03 21:00:05 - mmengine - INFO - Epoch(train) [115][1500/1879] lr: 2.0000e-03 eta: 16:45:23 time: 0.9058 data_time: 0.0235 memory: 11089 grad_norm: 4.9663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3037 loss: 1.3037 2022/08/03 21:00:23 - mmengine - INFO - Epoch(train) [115][1520/1879] lr: 2.0000e-03 eta: 16:45:04 time: 0.9076 data_time: 0.0264 memory: 11089 grad_norm: 5.0491 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.3571 loss: 1.3571 2022/08/03 21:00:42 - mmengine - INFO - Epoch(train) [115][1540/1879] lr: 2.0000e-03 eta: 16:44:46 time: 0.9385 data_time: 0.0243 memory: 11089 grad_norm: 4.9382 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2011 loss: 1.2011 2022/08/03 21:01:00 - mmengine - INFO - Epoch(train) [115][1560/1879] lr: 2.0000e-03 eta: 16:44:28 time: 0.9331 data_time: 0.0374 memory: 11089 grad_norm: 4.9210 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3349 loss: 1.3349 2022/08/03 21:01:19 - mmengine - INFO - Epoch(train) [115][1580/1879] lr: 2.0000e-03 eta: 16:44:10 time: 0.9153 data_time: 0.0248 memory: 11089 grad_norm: 5.1343 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4859 loss: 1.4859 2022/08/03 21:01:37 - mmengine - INFO - Epoch(train) [115][1600/1879] lr: 2.0000e-03 eta: 16:43:52 time: 0.9328 data_time: 0.0331 memory: 11089 grad_norm: 4.9949 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2543 loss: 1.2543 2022/08/03 21:01:56 - mmengine - INFO - Epoch(train) [115][1620/1879] lr: 2.0000e-03 eta: 16:43:34 time: 0.9336 data_time: 0.0318 memory: 11089 grad_norm: 4.9636 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3534 loss: 1.3534 2022/08/03 21:02:14 - mmengine - INFO - Epoch(train) [115][1640/1879] lr: 2.0000e-03 eta: 16:43:16 time: 0.9189 data_time: 0.0276 memory: 11089 grad_norm: 4.9720 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3254 loss: 1.3254 2022/08/03 21:02:33 - mmengine - INFO - Epoch(train) [115][1660/1879] lr: 2.0000e-03 eta: 16:42:57 time: 0.9178 data_time: 0.0314 memory: 11089 grad_norm: 4.9627 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4930 loss: 1.4930 2022/08/03 21:02:51 - mmengine - INFO - Epoch(train) [115][1680/1879] lr: 2.0000e-03 eta: 16:42:39 time: 0.9320 data_time: 0.0345 memory: 11089 grad_norm: 5.0488 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3206 loss: 1.3206 2022/08/03 21:03:10 - mmengine - INFO - Epoch(train) [115][1700/1879] lr: 2.0000e-03 eta: 16:42:21 time: 0.9198 data_time: 0.0298 memory: 11089 grad_norm: 5.0015 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3713 loss: 1.3713 2022/08/03 21:03:29 - mmengine - INFO - Epoch(train) [115][1720/1879] lr: 2.0000e-03 eta: 16:42:03 time: 0.9364 data_time: 0.0230 memory: 11089 grad_norm: 4.8415 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3270 loss: 1.3270 2022/08/03 21:03:47 - mmengine - INFO - Epoch(train) [115][1740/1879] lr: 2.0000e-03 eta: 16:41:45 time: 0.9123 data_time: 0.0224 memory: 11089 grad_norm: 4.9160 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1792 loss: 1.1792 2022/08/03 21:04:05 - mmengine - INFO - Epoch(train) [115][1760/1879] lr: 2.0000e-03 eta: 16:41:27 time: 0.9288 data_time: 0.0272 memory: 11089 grad_norm: 5.0990 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5113 loss: 1.5113 2022/08/03 21:04:24 - mmengine - INFO - Epoch(train) [115][1780/1879] lr: 2.0000e-03 eta: 16:41:08 time: 0.9083 data_time: 0.0342 memory: 11089 grad_norm: 4.9120 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2628 loss: 1.2628 2022/08/03 21:04:36 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 21:04:42 - mmengine - INFO - Epoch(train) [115][1800/1879] lr: 2.0000e-03 eta: 16:40:50 time: 0.9017 data_time: 0.0244 memory: 11089 grad_norm: 4.9552 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4581 loss: 1.4581 2022/08/03 21:05:00 - mmengine - INFO - Epoch(train) [115][1820/1879] lr: 2.0000e-03 eta: 16:40:32 time: 0.9247 data_time: 0.0253 memory: 11089 grad_norm: 4.9933 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4116 loss: 1.4116 2022/08/03 21:05:19 - mmengine - INFO - Epoch(train) [115][1840/1879] lr: 2.0000e-03 eta: 16:40:14 time: 0.9312 data_time: 0.0321 memory: 11089 grad_norm: 4.8559 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3683 loss: 1.3683 2022/08/03 21:05:37 - mmengine - INFO - Epoch(train) [115][1860/1879] lr: 2.0000e-03 eta: 16:39:55 time: 0.9235 data_time: 0.0264 memory: 11089 grad_norm: 4.8949 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4045 loss: 1.4045 2022/08/03 21:05:54 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 21:05:54 - mmengine - INFO - Epoch(train) [115][1879/1879] lr: 2.0000e-03 eta: 16:39:55 time: 0.9060 data_time: 0.0302 memory: 11089 grad_norm: 4.8807 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.4694 loss: 1.4694 2022/08/03 21:06:03 - mmengine - INFO - Epoch(val) [115][20/155] eta: 0:00:58 time: 0.4360 data_time: 0.1235 memory: 1950 2022/08/03 21:06:10 - mmengine - INFO - Epoch(val) [115][40/155] eta: 0:00:37 time: 0.3232 data_time: 0.0113 memory: 1950 2022/08/03 21:06:16 - mmengine - INFO - Epoch(val) [115][60/155] eta: 0:00:31 time: 0.3361 data_time: 0.0147 memory: 1950 2022/08/03 21:06:23 - mmengine - INFO - Epoch(val) [115][80/155] eta: 0:00:24 time: 0.3250 data_time: 0.0119 memory: 1950 2022/08/03 21:06:29 - mmengine - INFO - Epoch(val) [115][100/155] eta: 0:00:17 time: 0.3267 data_time: 0.0131 memory: 1950 2022/08/03 21:06:36 - mmengine - INFO - Epoch(val) [115][120/155] eta: 0:00:11 time: 0.3343 data_time: 0.0114 memory: 1950 2022/08/03 21:06:44 - mmengine - INFO - Epoch(val) [115][140/155] eta: 0:00:05 time: 0.3876 data_time: 0.0104 memory: 1950 2022/08/03 21:06:51 - mmengine - INFO - Epoch(val) [115][155/155] acc/top1: 0.6899 acc/top5: 0.8799 acc/mean1: 0.6898 2022/08/03 21:06:51 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb/best_acc/top1_epoch_111.pth is removed 2022/08/03 21:06:53 - mmengine - INFO - The best checkpoint with 0.6899 acc/top1 at 116 epoch is saved to best_acc/top1_epoch_116.pth. 2022/08/03 21:07:13 - mmengine - INFO - Epoch(train) [116][20/1879] lr: 2.0000e-03 eta: 16:39:15 time: 0.9848 data_time: 0.1154 memory: 11089 grad_norm: 4.9625 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2299 loss: 1.2299 2022/08/03 21:07:31 - mmengine - INFO - Epoch(train) [116][40/1879] lr: 2.0000e-03 eta: 16:38:57 time: 0.9283 data_time: 0.0310 memory: 11089 grad_norm: 4.9075 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2598 loss: 1.2598 2022/08/03 21:07:49 - mmengine - INFO - Epoch(train) [116][60/1879] lr: 2.0000e-03 eta: 16:38:39 time: 0.9031 data_time: 0.0272 memory: 11089 grad_norm: 4.9496 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2878 loss: 1.2878 2022/08/03 21:08:07 - mmengine - INFO - Epoch(train) [116][80/1879] lr: 2.0000e-03 eta: 16:38:20 time: 0.9091 data_time: 0.0285 memory: 11089 grad_norm: 5.0547 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3522 loss: 1.3522 2022/08/03 21:08:26 - mmengine - INFO - Epoch(train) [116][100/1879] lr: 2.0000e-03 eta: 16:38:02 time: 0.9010 data_time: 0.0224 memory: 11089 grad_norm: 4.7999 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.3082 loss: 1.3082 2022/08/03 21:08:44 - mmengine - INFO - Epoch(train) [116][120/1879] lr: 2.0000e-03 eta: 16:37:44 time: 0.9058 data_time: 0.0270 memory: 11089 grad_norm: 5.0855 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5355 loss: 1.5355 2022/08/03 21:09:02 - mmengine - INFO - Epoch(train) [116][140/1879] lr: 2.0000e-03 eta: 16:37:26 time: 0.9107 data_time: 0.0234 memory: 11089 grad_norm: 4.7994 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3149 loss: 1.3149 2022/08/03 21:09:20 - mmengine - INFO - Epoch(train) [116][160/1879] lr: 2.0000e-03 eta: 16:37:07 time: 0.9035 data_time: 0.0249 memory: 11089 grad_norm: 4.9872 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3116 loss: 1.3116 2022/08/03 21:09:38 - mmengine - INFO - Epoch(train) [116][180/1879] lr: 2.0000e-03 eta: 16:36:49 time: 0.9184 data_time: 0.0216 memory: 11089 grad_norm: 4.9392 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4162 loss: 1.4162 2022/08/03 21:09:57 - mmengine - INFO - Epoch(train) [116][200/1879] lr: 2.0000e-03 eta: 16:36:31 time: 0.9420 data_time: 0.0349 memory: 11089 grad_norm: 4.8872 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2842 loss: 1.2842 2022/08/03 21:10:16 - mmengine - INFO - Epoch(train) [116][220/1879] lr: 2.0000e-03 eta: 16:36:13 time: 0.9265 data_time: 0.0386 memory: 11089 grad_norm: 4.9303 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1288 loss: 1.1288 2022/08/03 21:10:34 - mmengine - INFO - Epoch(train) [116][240/1879] lr: 2.0000e-03 eta: 16:35:55 time: 0.9296 data_time: 0.0222 memory: 11089 grad_norm: 4.9720 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4004 loss: 1.4004 2022/08/03 21:10:53 - mmengine - INFO - Epoch(train) [116][260/1879] lr: 2.0000e-03 eta: 16:35:37 time: 0.9307 data_time: 0.0356 memory: 11089 grad_norm: 4.8597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1988 loss: 1.1988 2022/08/03 21:11:11 - mmengine - INFO - Epoch(train) [116][280/1879] lr: 2.0000e-03 eta: 16:35:18 time: 0.9209 data_time: 0.0320 memory: 11089 grad_norm: 4.9580 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2452 loss: 1.2452 2022/08/03 21:11:30 - mmengine - INFO - Epoch(train) [116][300/1879] lr: 2.0000e-03 eta: 16:35:00 time: 0.9370 data_time: 0.0311 memory: 11089 grad_norm: 4.8934 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1707 loss: 1.1707 2022/08/03 21:11:48 - mmengine - INFO - Epoch(train) [116][320/1879] lr: 2.0000e-03 eta: 16:34:42 time: 0.9187 data_time: 0.0252 memory: 11089 grad_norm: 4.8271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3106 loss: 1.3106 2022/08/03 21:12:07 - mmengine - INFO - Epoch(train) [116][340/1879] lr: 2.0000e-03 eta: 16:34:24 time: 0.9194 data_time: 0.0298 memory: 11089 grad_norm: 4.8658 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1165 loss: 1.1165 2022/08/03 21:12:25 - mmengine - INFO - Epoch(train) [116][360/1879] lr: 2.0000e-03 eta: 16:34:06 time: 0.9201 data_time: 0.0394 memory: 11089 grad_norm: 4.9349 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2304 loss: 1.2304 2022/08/03 21:12:43 - mmengine - INFO - Epoch(train) [116][380/1879] lr: 2.0000e-03 eta: 16:33:47 time: 0.9044 data_time: 0.0237 memory: 11089 grad_norm: 4.8454 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1171 loss: 1.1171 2022/08/03 21:13:02 - mmengine - INFO - Epoch(train) [116][400/1879] lr: 2.0000e-03 eta: 16:33:29 time: 0.9125 data_time: 0.0243 memory: 11089 grad_norm: 4.8345 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1389 loss: 1.1389 2022/08/03 21:13:20 - mmengine - INFO - Epoch(train) [116][420/1879] lr: 2.0000e-03 eta: 16:33:11 time: 0.8967 data_time: 0.0232 memory: 11089 grad_norm: 5.0481 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1482 loss: 1.1482 2022/08/03 21:13:38 - mmengine - INFO - Epoch(train) [116][440/1879] lr: 2.0000e-03 eta: 16:32:53 time: 0.9325 data_time: 0.0342 memory: 11089 grad_norm: 4.9868 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3665 loss: 1.3665 2022/08/03 21:13:56 - mmengine - INFO - Epoch(train) [116][460/1879] lr: 2.0000e-03 eta: 16:32:35 time: 0.9036 data_time: 0.0245 memory: 11089 grad_norm: 4.9508 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3272 loss: 1.3272 2022/08/03 21:14:15 - mmengine - INFO - Epoch(train) [116][480/1879] lr: 2.0000e-03 eta: 16:32:16 time: 0.9110 data_time: 0.0266 memory: 11089 grad_norm: 4.8683 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.3682 loss: 1.3682 2022/08/03 21:14:33 - mmengine - INFO - Epoch(train) [116][500/1879] lr: 2.0000e-03 eta: 16:31:58 time: 0.9217 data_time: 0.0221 memory: 11089 grad_norm: 5.0890 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5299 loss: 1.5299 2022/08/03 21:14:51 - mmengine - INFO - Epoch(train) [116][520/1879] lr: 2.0000e-03 eta: 16:31:40 time: 0.9265 data_time: 0.0296 memory: 11089 grad_norm: 4.8774 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3158 loss: 1.3158 2022/08/03 21:15:10 - mmengine - INFO - Epoch(train) [116][540/1879] lr: 2.0000e-03 eta: 16:31:22 time: 0.9403 data_time: 0.0302 memory: 11089 grad_norm: 4.7744 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2605 loss: 1.2605 2022/08/03 21:15:29 - mmengine - INFO - Epoch(train) [116][560/1879] lr: 2.0000e-03 eta: 16:31:04 time: 0.9388 data_time: 0.0276 memory: 11089 grad_norm: 4.8085 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3889 loss: 1.3889 2022/08/03 21:15:46 - mmengine - INFO - Epoch(train) [116][580/1879] lr: 2.0000e-03 eta: 16:30:45 time: 0.8583 data_time: 0.0193 memory: 11089 grad_norm: 5.1650 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3404 loss: 1.3404 2022/08/03 21:16:04 - mmengine - INFO - Epoch(train) [116][600/1879] lr: 2.0000e-03 eta: 16:30:27 time: 0.9006 data_time: 0.0243 memory: 11089 grad_norm: 4.8864 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3092 loss: 1.3092 2022/08/03 21:16:23 - mmengine - INFO - Epoch(train) [116][620/1879] lr: 2.0000e-03 eta: 16:30:09 time: 0.9423 data_time: 0.0280 memory: 11089 grad_norm: 4.8825 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1438 loss: 1.1438 2022/08/03 21:16:42 - mmengine - INFO - Epoch(train) [116][640/1879] lr: 2.0000e-03 eta: 16:29:51 time: 0.9260 data_time: 0.0273 memory: 11089 grad_norm: 4.9514 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1236 loss: 1.1236 2022/08/03 21:17:00 - mmengine - INFO - Epoch(train) [116][660/1879] lr: 2.0000e-03 eta: 16:29:33 time: 0.9163 data_time: 0.0260 memory: 11089 grad_norm: 5.0159 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4104 loss: 1.4104 2022/08/03 21:17:18 - mmengine - INFO - Epoch(train) [116][680/1879] lr: 2.0000e-03 eta: 16:29:14 time: 0.8963 data_time: 0.0203 memory: 11089 grad_norm: 4.7799 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2227 loss: 1.2227 2022/08/03 21:17:36 - mmengine - INFO - Epoch(train) [116][700/1879] lr: 2.0000e-03 eta: 16:28:56 time: 0.9160 data_time: 0.0306 memory: 11089 grad_norm: 5.0698 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3897 loss: 1.3897 2022/08/03 21:17:55 - mmengine - INFO - Epoch(train) [116][720/1879] lr: 2.0000e-03 eta: 16:28:38 time: 0.9196 data_time: 0.0303 memory: 11089 grad_norm: 4.8422 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2078 loss: 1.2078 2022/08/03 21:18:13 - mmengine - INFO - Epoch(train) [116][740/1879] lr: 2.0000e-03 eta: 16:28:20 time: 0.9291 data_time: 0.0270 memory: 11089 grad_norm: 5.0618 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3005 loss: 1.3005 2022/08/03 21:18:31 - mmengine - INFO - Epoch(train) [116][760/1879] lr: 2.0000e-03 eta: 16:28:01 time: 0.8950 data_time: 0.0252 memory: 11089 grad_norm: 5.0175 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3892 loss: 1.3892 2022/08/03 21:18:49 - mmengine - INFO - Epoch(train) [116][780/1879] lr: 2.0000e-03 eta: 16:27:43 time: 0.9047 data_time: 0.0264 memory: 11089 grad_norm: 5.0402 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3187 loss: 1.3187 2022/08/03 21:19:07 - mmengine - INFO - Epoch(train) [116][800/1879] lr: 2.0000e-03 eta: 16:27:25 time: 0.8963 data_time: 0.0232 memory: 11089 grad_norm: 5.1297 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6023 loss: 1.6023 2022/08/03 21:19:25 - mmengine - INFO - Epoch(train) [116][820/1879] lr: 2.0000e-03 eta: 16:27:06 time: 0.9155 data_time: 0.0277 memory: 11089 grad_norm: 4.8282 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3094 loss: 1.3094 2022/08/03 21:19:44 - mmengine - INFO - Epoch(train) [116][840/1879] lr: 2.0000e-03 eta: 16:26:48 time: 0.9177 data_time: 0.0288 memory: 11089 grad_norm: 4.9391 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2933 loss: 1.2933 2022/08/03 21:20:02 - mmengine - INFO - Epoch(train) [116][860/1879] lr: 2.0000e-03 eta: 16:26:30 time: 0.9156 data_time: 0.0252 memory: 11089 grad_norm: 4.9431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1685 loss: 1.1685 2022/08/03 21:20:21 - mmengine - INFO - Epoch(train) [116][880/1879] lr: 2.0000e-03 eta: 16:26:12 time: 0.9284 data_time: 0.0376 memory: 11089 grad_norm: 4.9470 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1157 loss: 1.1157 2022/08/03 21:20:39 - mmengine - INFO - Epoch(train) [116][900/1879] lr: 2.0000e-03 eta: 16:25:54 time: 0.9308 data_time: 0.0290 memory: 11089 grad_norm: 4.9513 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1702 loss: 1.1702 2022/08/03 21:20:53 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 21:20:58 - mmengine - INFO - Epoch(train) [116][920/1879] lr: 2.0000e-03 eta: 16:25:36 time: 0.9285 data_time: 0.0268 memory: 11089 grad_norm: 4.8146 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5085 loss: 1.5085 2022/08/03 21:21:16 - mmengine - INFO - Epoch(train) [116][940/1879] lr: 2.0000e-03 eta: 16:25:17 time: 0.9265 data_time: 0.0280 memory: 11089 grad_norm: 5.0191 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3881 loss: 1.3881 2022/08/03 21:21:35 - mmengine - INFO - Epoch(train) [116][960/1879] lr: 2.0000e-03 eta: 16:24:59 time: 0.9042 data_time: 0.0205 memory: 11089 grad_norm: 5.1252 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2797 loss: 1.2797 2022/08/03 21:21:53 - mmengine - INFO - Epoch(train) [116][980/1879] lr: 2.0000e-03 eta: 16:24:41 time: 0.9294 data_time: 0.0281 memory: 11089 grad_norm: 5.0441 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4330 loss: 1.4330 2022/08/03 21:22:12 - mmengine - INFO - Epoch(train) [116][1000/1879] lr: 2.0000e-03 eta: 16:24:23 time: 0.9260 data_time: 0.0364 memory: 11089 grad_norm: 4.9923 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4274 loss: 1.4274 2022/08/03 21:22:30 - mmengine - INFO - Epoch(train) [116][1020/1879] lr: 2.0000e-03 eta: 16:24:05 time: 0.9095 data_time: 0.0222 memory: 11089 grad_norm: 5.0187 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3271 loss: 1.3271 2022/08/03 21:22:48 - mmengine - INFO - Epoch(train) [116][1040/1879] lr: 2.0000e-03 eta: 16:23:46 time: 0.9092 data_time: 0.0289 memory: 11089 grad_norm: 4.8942 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3607 loss: 1.3607 2022/08/03 21:23:06 - mmengine - INFO - Epoch(train) [116][1060/1879] lr: 2.0000e-03 eta: 16:23:28 time: 0.9186 data_time: 0.0325 memory: 11089 grad_norm: 5.0012 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4990 loss: 1.4990 2022/08/03 21:23:24 - mmengine - INFO - Epoch(train) [116][1080/1879] lr: 2.0000e-03 eta: 16:23:10 time: 0.9020 data_time: 0.0285 memory: 11089 grad_norm: 4.8701 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3970 loss: 1.3970 2022/08/03 21:23:43 - mmengine - INFO - Epoch(train) [116][1100/1879] lr: 2.0000e-03 eta: 16:22:52 time: 0.9017 data_time: 0.0203 memory: 11089 grad_norm: 4.9642 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2635 loss: 1.2635 2022/08/03 21:24:01 - mmengine - INFO - Epoch(train) [116][1120/1879] lr: 2.0000e-03 eta: 16:22:33 time: 0.9177 data_time: 0.0279 memory: 11089 grad_norm: 4.8458 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2047 loss: 1.2047 2022/08/03 21:24:19 - mmengine - INFO - Epoch(train) [116][1140/1879] lr: 2.0000e-03 eta: 16:22:15 time: 0.9146 data_time: 0.0300 memory: 11089 grad_norm: 5.0250 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4773 loss: 1.4773 2022/08/03 21:24:37 - mmengine - INFO - Epoch(train) [116][1160/1879] lr: 2.0000e-03 eta: 16:21:57 time: 0.9066 data_time: 0.0293 memory: 11089 grad_norm: 4.9519 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2147 loss: 1.2147 2022/08/03 21:24:55 - mmengine - INFO - Epoch(train) [116][1180/1879] lr: 2.0000e-03 eta: 16:21:39 time: 0.9060 data_time: 0.0244 memory: 11089 grad_norm: 4.9709 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2361 loss: 1.2361 2022/08/03 21:25:14 - mmengine - INFO - Epoch(train) [116][1200/1879] lr: 2.0000e-03 eta: 16:21:21 time: 0.9435 data_time: 0.0350 memory: 11089 grad_norm: 5.0203 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3363 loss: 1.3363 2022/08/03 21:25:33 - mmengine - INFO - Epoch(train) [116][1220/1879] lr: 2.0000e-03 eta: 16:21:02 time: 0.9257 data_time: 0.0269 memory: 11089 grad_norm: 4.9882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3371 loss: 1.3371 2022/08/03 21:25:51 - mmengine - INFO - Epoch(train) [116][1240/1879] lr: 2.0000e-03 eta: 16:20:44 time: 0.9024 data_time: 0.0205 memory: 11089 grad_norm: 5.1730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5335 loss: 1.5335 2022/08/03 21:26:09 - mmengine - INFO - Epoch(train) [116][1260/1879] lr: 2.0000e-03 eta: 16:20:26 time: 0.9205 data_time: 0.0282 memory: 11089 grad_norm: 4.9997 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3783 loss: 1.3783 2022/08/03 21:26:27 - mmengine - INFO - Epoch(train) [116][1280/1879] lr: 2.0000e-03 eta: 16:20:08 time: 0.9041 data_time: 0.0256 memory: 11089 grad_norm: 4.8438 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2911 loss: 1.2911 2022/08/03 21:26:46 - mmengine - INFO - Epoch(train) [116][1300/1879] lr: 2.0000e-03 eta: 16:19:50 time: 0.9371 data_time: 0.0364 memory: 11089 grad_norm: 5.1870 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3962 loss: 1.3962 2022/08/03 21:27:05 - mmengine - INFO - Epoch(train) [116][1320/1879] lr: 2.0000e-03 eta: 16:19:31 time: 0.9249 data_time: 0.0362 memory: 11089 grad_norm: 5.0511 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2619 loss: 1.2619 2022/08/03 21:27:23 - mmengine - INFO - Epoch(train) [116][1340/1879] lr: 2.0000e-03 eta: 16:19:13 time: 0.9097 data_time: 0.0258 memory: 11089 grad_norm: 5.0763 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3195 loss: 1.3195 2022/08/03 21:27:41 - mmengine - INFO - Epoch(train) [116][1360/1879] lr: 2.0000e-03 eta: 16:18:55 time: 0.9082 data_time: 0.0277 memory: 11089 grad_norm: 5.0691 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4202 loss: 1.4202 2022/08/03 21:27:59 - mmengine - INFO - Epoch(train) [116][1380/1879] lr: 2.0000e-03 eta: 16:18:37 time: 0.9190 data_time: 0.0248 memory: 11089 grad_norm: 5.0156 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4092 loss: 1.4092 2022/08/03 21:28:18 - mmengine - INFO - Epoch(train) [116][1400/1879] lr: 2.0000e-03 eta: 16:18:18 time: 0.9122 data_time: 0.0247 memory: 11089 grad_norm: 4.9926 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1639 loss: 1.1639 2022/08/03 21:28:36 - mmengine - INFO - Epoch(train) [116][1420/1879] lr: 2.0000e-03 eta: 16:18:00 time: 0.9070 data_time: 0.0273 memory: 11089 grad_norm: 4.8916 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3314 loss: 1.3314 2022/08/03 21:28:54 - mmengine - INFO - Epoch(train) [116][1440/1879] lr: 2.0000e-03 eta: 16:17:42 time: 0.9127 data_time: 0.0245 memory: 11089 grad_norm: 5.0175 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2288 loss: 1.2288 2022/08/03 21:29:12 - mmengine - INFO - Epoch(train) [116][1460/1879] lr: 2.0000e-03 eta: 16:17:24 time: 0.9195 data_time: 0.0318 memory: 11089 grad_norm: 5.0837 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5098 loss: 1.5098 2022/08/03 21:29:31 - mmengine - INFO - Epoch(train) [116][1480/1879] lr: 2.0000e-03 eta: 16:17:06 time: 0.9214 data_time: 0.0243 memory: 11089 grad_norm: 4.9742 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2389 loss: 1.2389 2022/08/03 21:29:49 - mmengine - INFO - Epoch(train) [116][1500/1879] lr: 2.0000e-03 eta: 16:16:47 time: 0.9165 data_time: 0.0227 memory: 11089 grad_norm: 4.9598 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3803 loss: 1.3803 2022/08/03 21:30:08 - mmengine - INFO - Epoch(train) [116][1520/1879] lr: 2.0000e-03 eta: 16:16:29 time: 0.9191 data_time: 0.0236 memory: 11089 grad_norm: 4.9407 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3912 loss: 1.3912 2022/08/03 21:30:26 - mmengine - INFO - Epoch(train) [116][1540/1879] lr: 2.0000e-03 eta: 16:16:11 time: 0.9327 data_time: 0.0376 memory: 11089 grad_norm: 4.9524 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2188 loss: 1.2188 2022/08/03 21:30:45 - mmengine - INFO - Epoch(train) [116][1560/1879] lr: 2.0000e-03 eta: 16:15:53 time: 0.9197 data_time: 0.0294 memory: 11089 grad_norm: 5.0191 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2228 loss: 1.2228 2022/08/03 21:31:02 - mmengine - INFO - Epoch(train) [116][1580/1879] lr: 2.0000e-03 eta: 16:15:34 time: 0.8864 data_time: 0.0265 memory: 11089 grad_norm: 5.0104 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2122 loss: 1.2122 2022/08/03 21:31:21 - mmengine - INFO - Epoch(train) [116][1600/1879] lr: 2.0000e-03 eta: 16:15:16 time: 0.9306 data_time: 0.0267 memory: 11089 grad_norm: 4.9356 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3312 loss: 1.3312 2022/08/03 21:31:39 - mmengine - INFO - Epoch(train) [116][1620/1879] lr: 2.0000e-03 eta: 16:14:58 time: 0.9161 data_time: 0.0259 memory: 11089 grad_norm: 5.0443 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3454 loss: 1.3454 2022/08/03 21:31:58 - mmengine - INFO - Epoch(train) [116][1640/1879] lr: 2.0000e-03 eta: 16:14:40 time: 0.9191 data_time: 0.0232 memory: 11089 grad_norm: 5.0794 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2805 loss: 1.2805 2022/08/03 21:32:16 - mmengine - INFO - Epoch(train) [116][1660/1879] lr: 2.0000e-03 eta: 16:14:22 time: 0.9017 data_time: 0.0236 memory: 11089 grad_norm: 5.1094 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4259 loss: 1.4259 2022/08/03 21:32:34 - mmengine - INFO - Epoch(train) [116][1680/1879] lr: 2.0000e-03 eta: 16:14:03 time: 0.9068 data_time: 0.0237 memory: 11089 grad_norm: 4.9499 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2065 loss: 1.2065 2022/08/03 21:32:53 - mmengine - INFO - Epoch(train) [116][1700/1879] lr: 2.0000e-03 eta: 16:13:45 time: 0.9300 data_time: 0.0365 memory: 11089 grad_norm: 4.9913 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3175 loss: 1.3175 2022/08/03 21:33:11 - mmengine - INFO - Epoch(train) [116][1720/1879] lr: 2.0000e-03 eta: 16:13:27 time: 0.9412 data_time: 0.0330 memory: 11089 grad_norm: 5.0890 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2630 loss: 1.2630 2022/08/03 21:33:30 - mmengine - INFO - Epoch(train) [116][1740/1879] lr: 2.0000e-03 eta: 16:13:09 time: 0.9220 data_time: 0.0287 memory: 11089 grad_norm: 5.1350 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5670 loss: 1.5670 2022/08/03 21:33:49 - mmengine - INFO - Epoch(train) [116][1760/1879] lr: 2.0000e-03 eta: 16:12:51 time: 0.9390 data_time: 0.0328 memory: 11089 grad_norm: 5.0951 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2525 loss: 1.2525 2022/08/03 21:34:07 - mmengine - INFO - Epoch(train) [116][1780/1879] lr: 2.0000e-03 eta: 16:12:33 time: 0.9098 data_time: 0.0239 memory: 11089 grad_norm: 5.0893 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3255 loss: 1.3255 2022/08/03 21:34:25 - mmengine - INFO - Epoch(train) [116][1800/1879] lr: 2.0000e-03 eta: 16:12:14 time: 0.9350 data_time: 0.0349 memory: 11089 grad_norm: 4.9947 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4360 loss: 1.4360 2022/08/03 21:34:44 - mmengine - INFO - Epoch(train) [116][1820/1879] lr: 2.0000e-03 eta: 16:11:56 time: 0.9240 data_time: 0.0362 memory: 11089 grad_norm: 5.0399 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2367 loss: 1.2367 2022/08/03 21:35:02 - mmengine - INFO - Epoch(train) [116][1840/1879] lr: 2.0000e-03 eta: 16:11:38 time: 0.9149 data_time: 0.0200 memory: 11089 grad_norm: 5.0340 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2257 loss: 1.2257 2022/08/03 21:35:21 - mmengine - INFO - Epoch(train) [116][1860/1879] lr: 2.0000e-03 eta: 16:11:20 time: 0.9300 data_time: 0.0357 memory: 11089 grad_norm: 4.9640 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4446 loss: 1.4446 2022/08/03 21:35:39 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 21:35:39 - mmengine - INFO - Epoch(train) [116][1879/1879] lr: 2.0000e-03 eta: 16:11:20 time: 0.9305 data_time: 0.0306 memory: 11089 grad_norm: 5.0254 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.1345 loss: 1.1345 2022/08/03 21:35:39 - mmengine - INFO - Saving checkpoint at 116 epochs 2022/08/03 21:36:02 - mmengine - INFO - Epoch(train) [117][20/1879] lr: 2.0000e-03 eta: 16:10:40 time: 1.0129 data_time: 0.1122 memory: 11089 grad_norm: 4.9696 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4422 loss: 1.4422 2022/08/03 21:36:16 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 21:36:20 - mmengine - INFO - Epoch(train) [117][40/1879] lr: 2.0000e-03 eta: 16:10:22 time: 0.9159 data_time: 0.0249 memory: 11089 grad_norm: 5.0097 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4895 loss: 1.4895 2022/08/03 21:36:38 - mmengine - INFO - Epoch(train) [117][60/1879] lr: 2.0000e-03 eta: 16:10:04 time: 0.9263 data_time: 0.0260 memory: 11089 grad_norm: 4.9564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1647 loss: 1.1647 2022/08/03 21:36:57 - mmengine - INFO - Epoch(train) [117][80/1879] lr: 2.0000e-03 eta: 16:09:45 time: 0.9120 data_time: 0.0265 memory: 11089 grad_norm: 4.9724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3768 loss: 1.3768 2022/08/03 21:37:15 - mmengine - INFO - Epoch(train) [117][100/1879] lr: 2.0000e-03 eta: 16:09:27 time: 0.9053 data_time: 0.0271 memory: 11089 grad_norm: 4.8008 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1923 loss: 1.1923 2022/08/03 21:37:33 - mmengine - INFO - Epoch(train) [117][120/1879] lr: 2.0000e-03 eta: 16:09:09 time: 0.9091 data_time: 0.0243 memory: 11089 grad_norm: 4.9619 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1548 loss: 1.1548 2022/08/03 21:37:52 - mmengine - INFO - Epoch(train) [117][140/1879] lr: 2.0000e-03 eta: 16:08:51 time: 0.9278 data_time: 0.0236 memory: 11089 grad_norm: 4.9132 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1668 loss: 1.1668 2022/08/03 21:38:10 - mmengine - INFO - Epoch(train) [117][160/1879] lr: 2.0000e-03 eta: 16:08:32 time: 0.9261 data_time: 0.0327 memory: 11089 grad_norm: 4.9877 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4773 loss: 1.4773 2022/08/03 21:38:29 - mmengine - INFO - Epoch(train) [117][180/1879] lr: 2.0000e-03 eta: 16:08:14 time: 0.9240 data_time: 0.0331 memory: 11089 grad_norm: 5.0014 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4181 loss: 1.4181 2022/08/03 21:38:47 - mmengine - INFO - Epoch(train) [117][200/1879] lr: 2.0000e-03 eta: 16:07:56 time: 0.9329 data_time: 0.0303 memory: 11089 grad_norm: 5.0379 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2252 loss: 1.2252 2022/08/03 21:39:06 - mmengine - INFO - Epoch(train) [117][220/1879] lr: 2.0000e-03 eta: 16:07:38 time: 0.9243 data_time: 0.0324 memory: 11089 grad_norm: 5.0259 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4221 loss: 1.4221 2022/08/03 21:39:24 - mmengine - INFO - Epoch(train) [117][240/1879] lr: 2.0000e-03 eta: 16:07:20 time: 0.9197 data_time: 0.0324 memory: 11089 grad_norm: 5.0191 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3573 loss: 1.3573 2022/08/03 21:39:43 - mmengine - INFO - Epoch(train) [117][260/1879] lr: 2.0000e-03 eta: 16:07:02 time: 0.9470 data_time: 0.0237 memory: 11089 grad_norm: 4.9443 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4227 loss: 1.4227 2022/08/03 21:40:02 - mmengine - INFO - Epoch(train) [117][280/1879] lr: 2.0000e-03 eta: 16:06:44 time: 0.9255 data_time: 0.0311 memory: 11089 grad_norm: 5.1869 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2184 loss: 1.2184 2022/08/03 21:40:20 - mmengine - INFO - Epoch(train) [117][300/1879] lr: 2.0000e-03 eta: 16:06:25 time: 0.9075 data_time: 0.0312 memory: 11089 grad_norm: 5.0970 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3175 loss: 1.3175 2022/08/03 21:40:38 - mmengine - INFO - Epoch(train) [117][320/1879] lr: 2.0000e-03 eta: 16:06:07 time: 0.9028 data_time: 0.0214 memory: 11089 grad_norm: 4.8823 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3286 loss: 1.3286 2022/08/03 21:40:56 - mmengine - INFO - Epoch(train) [117][340/1879] lr: 2.0000e-03 eta: 16:05:49 time: 0.9159 data_time: 0.0299 memory: 11089 grad_norm: 4.9855 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3446 loss: 1.3446 2022/08/03 21:41:14 - mmengine - INFO - Epoch(train) [117][360/1879] lr: 2.0000e-03 eta: 16:05:31 time: 0.9110 data_time: 0.0273 memory: 11089 grad_norm: 5.0907 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3157 loss: 1.3157 2022/08/03 21:41:32 - mmengine - INFO - Epoch(train) [117][380/1879] lr: 2.0000e-03 eta: 16:05:12 time: 0.9080 data_time: 0.0256 memory: 11089 grad_norm: 4.8114 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2634 loss: 1.2634 2022/08/03 21:41:51 - mmengine - INFO - Epoch(train) [117][400/1879] lr: 2.0000e-03 eta: 16:04:54 time: 0.9130 data_time: 0.0286 memory: 11089 grad_norm: 5.0003 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3543 loss: 1.3543 2022/08/03 21:42:09 - mmengine - INFO - Epoch(train) [117][420/1879] lr: 2.0000e-03 eta: 16:04:36 time: 0.9199 data_time: 0.0322 memory: 11089 grad_norm: 4.9691 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2485 loss: 1.2485 2022/08/03 21:42:27 - mmengine - INFO - Epoch(train) [117][440/1879] lr: 2.0000e-03 eta: 16:04:18 time: 0.9108 data_time: 0.0259 memory: 11089 grad_norm: 4.8829 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3150 loss: 1.3150 2022/08/03 21:42:46 - mmengine - INFO - Epoch(train) [117][460/1879] lr: 2.0000e-03 eta: 16:04:00 time: 0.9252 data_time: 0.0242 memory: 11089 grad_norm: 4.8969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4235 loss: 1.4235 2022/08/03 21:43:04 - mmengine - INFO - Epoch(train) [117][480/1879] lr: 2.0000e-03 eta: 16:03:41 time: 0.9213 data_time: 0.0314 memory: 11089 grad_norm: 5.0784 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2619 loss: 1.2619 2022/08/03 21:43:23 - mmengine - INFO - Epoch(train) [117][500/1879] lr: 2.0000e-03 eta: 16:03:23 time: 0.9112 data_time: 0.0328 memory: 11089 grad_norm: 4.9362 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1383 loss: 1.1383 2022/08/03 21:43:41 - mmengine - INFO - Epoch(train) [117][520/1879] lr: 2.0000e-03 eta: 16:03:05 time: 0.9107 data_time: 0.0299 memory: 11089 grad_norm: 4.9058 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2965 loss: 1.2965 2022/08/03 21:43:59 - mmengine - INFO - Epoch(train) [117][540/1879] lr: 2.0000e-03 eta: 16:02:47 time: 0.9201 data_time: 0.0288 memory: 11089 grad_norm: 5.0689 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1609 loss: 1.1609 2022/08/03 21:44:17 - mmengine - INFO - Epoch(train) [117][560/1879] lr: 2.0000e-03 eta: 16:02:28 time: 0.8947 data_time: 0.0233 memory: 11089 grad_norm: 4.7480 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3219 loss: 1.3219 2022/08/03 21:44:35 - mmengine - INFO - Epoch(train) [117][580/1879] lr: 2.0000e-03 eta: 16:02:10 time: 0.8945 data_time: 0.0218 memory: 11089 grad_norm: 4.9384 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.3409 loss: 1.3409 2022/08/03 21:44:54 - mmengine - INFO - Epoch(train) [117][600/1879] lr: 2.0000e-03 eta: 16:01:52 time: 0.9286 data_time: 0.0328 memory: 11089 grad_norm: 4.8449 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2343 loss: 1.2343 2022/08/03 21:45:11 - mmengine - INFO - Epoch(train) [117][620/1879] lr: 2.0000e-03 eta: 16:01:34 time: 0.8954 data_time: 0.0251 memory: 11089 grad_norm: 4.9354 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2461 loss: 1.2461 2022/08/03 21:45:30 - mmengine - INFO - Epoch(train) [117][640/1879] lr: 2.0000e-03 eta: 16:01:15 time: 0.9220 data_time: 0.0351 memory: 11089 grad_norm: 5.1358 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.3309 loss: 1.3309 2022/08/03 21:45:48 - mmengine - INFO - Epoch(train) [117][660/1879] lr: 2.0000e-03 eta: 16:00:57 time: 0.9233 data_time: 0.0278 memory: 11089 grad_norm: 5.1388 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3847 loss: 1.3847 2022/08/03 21:46:07 - mmengine - INFO - Epoch(train) [117][680/1879] lr: 2.0000e-03 eta: 16:00:39 time: 0.9219 data_time: 0.0346 memory: 11089 grad_norm: 5.0014 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2586 loss: 1.2586 2022/08/03 21:46:25 - mmengine - INFO - Epoch(train) [117][700/1879] lr: 2.0000e-03 eta: 16:00:21 time: 0.9132 data_time: 0.0242 memory: 11089 grad_norm: 4.9748 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3807 loss: 1.3807 2022/08/03 21:46:43 - mmengine - INFO - Epoch(train) [117][720/1879] lr: 2.0000e-03 eta: 16:00:02 time: 0.9008 data_time: 0.0263 memory: 11089 grad_norm: 4.9700 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2810 loss: 1.2810 2022/08/03 21:47:02 - mmengine - INFO - Epoch(train) [117][740/1879] lr: 2.0000e-03 eta: 15:59:44 time: 0.9357 data_time: 0.0285 memory: 11089 grad_norm: 5.0964 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2428 loss: 1.2428 2022/08/03 21:47:20 - mmengine - INFO - Epoch(train) [117][760/1879] lr: 2.0000e-03 eta: 15:59:26 time: 0.9132 data_time: 0.0276 memory: 11089 grad_norm: 5.0392 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3506 loss: 1.3506 2022/08/03 21:47:38 - mmengine - INFO - Epoch(train) [117][780/1879] lr: 2.0000e-03 eta: 15:59:08 time: 0.9121 data_time: 0.0241 memory: 11089 grad_norm: 5.0365 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2695 loss: 1.2695 2022/08/03 21:47:57 - mmengine - INFO - Epoch(train) [117][800/1879] lr: 2.0000e-03 eta: 15:58:50 time: 0.9253 data_time: 0.0299 memory: 11089 grad_norm: 5.0410 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.2375 loss: 1.2375 2022/08/03 21:48:15 - mmengine - INFO - Epoch(train) [117][820/1879] lr: 2.0000e-03 eta: 15:58:31 time: 0.9011 data_time: 0.0253 memory: 11089 grad_norm: 5.1660 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3985 loss: 1.3985 2022/08/03 21:48:33 - mmengine - INFO - Epoch(train) [117][840/1879] lr: 2.0000e-03 eta: 15:58:13 time: 0.9087 data_time: 0.0255 memory: 11089 grad_norm: 5.1124 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1975 loss: 1.1975 2022/08/03 21:48:51 - mmengine - INFO - Epoch(train) [117][860/1879] lr: 2.0000e-03 eta: 15:57:55 time: 0.9043 data_time: 0.0237 memory: 11089 grad_norm: 5.0368 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2379 loss: 1.2379 2022/08/03 21:49:10 - mmengine - INFO - Epoch(train) [117][880/1879] lr: 2.0000e-03 eta: 15:57:37 time: 0.9191 data_time: 0.0275 memory: 11089 grad_norm: 4.9937 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2112 loss: 1.2112 2022/08/03 21:49:28 - mmengine - INFO - Epoch(train) [117][900/1879] lr: 2.0000e-03 eta: 15:57:18 time: 0.9095 data_time: 0.0263 memory: 11089 grad_norm: 5.1945 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5695 loss: 1.5695 2022/08/03 21:49:46 - mmengine - INFO - Epoch(train) [117][920/1879] lr: 2.0000e-03 eta: 15:57:00 time: 0.9056 data_time: 0.0269 memory: 11089 grad_norm: 5.0676 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2324 loss: 1.2324 2022/08/03 21:50:04 - mmengine - INFO - Epoch(train) [117][940/1879] lr: 2.0000e-03 eta: 15:56:42 time: 0.9117 data_time: 0.0293 memory: 11089 grad_norm: 4.9973 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2097 loss: 1.2097 2022/08/03 21:50:23 - mmengine - INFO - Epoch(train) [117][960/1879] lr: 2.0000e-03 eta: 15:56:24 time: 0.9249 data_time: 0.0297 memory: 11089 grad_norm: 4.9164 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3818 loss: 1.3818 2022/08/03 21:50:41 - mmengine - INFO - Epoch(train) [117][980/1879] lr: 2.0000e-03 eta: 15:56:06 time: 0.9254 data_time: 0.0287 memory: 11089 grad_norm: 4.9829 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2608 loss: 1.2608 2022/08/03 21:51:00 - mmengine - INFO - Epoch(train) [117][1000/1879] lr: 2.0000e-03 eta: 15:55:47 time: 0.9337 data_time: 0.0277 memory: 11089 grad_norm: 4.9455 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2587 loss: 1.2587 2022/08/03 21:51:18 - mmengine - INFO - Epoch(train) [117][1020/1879] lr: 2.0000e-03 eta: 15:55:29 time: 0.9111 data_time: 0.0271 memory: 11089 grad_norm: 5.0021 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3298 loss: 1.3298 2022/08/03 21:51:33 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 21:51:36 - mmengine - INFO - Epoch(train) [117][1040/1879] lr: 2.0000e-03 eta: 15:55:11 time: 0.9202 data_time: 0.0248 memory: 11089 grad_norm: 5.0061 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2990 loss: 1.2990 2022/08/03 21:51:55 - mmengine - INFO - Epoch(train) [117][1060/1879] lr: 2.0000e-03 eta: 15:54:53 time: 0.9316 data_time: 0.0264 memory: 11089 grad_norm: 5.1895 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4327 loss: 1.4327 2022/08/03 21:52:12 - mmengine - INFO - Epoch(train) [117][1080/1879] lr: 2.0000e-03 eta: 15:54:34 time: 0.8661 data_time: 0.0271 memory: 11089 grad_norm: 5.0570 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3891 loss: 1.3891 2022/08/03 21:52:31 - mmengine - INFO - Epoch(train) [117][1100/1879] lr: 2.0000e-03 eta: 15:54:16 time: 0.9227 data_time: 0.0279 memory: 11089 grad_norm: 4.9410 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1631 loss: 1.1631 2022/08/03 21:52:49 - mmengine - INFO - Epoch(train) [117][1120/1879] lr: 2.0000e-03 eta: 15:53:58 time: 0.9102 data_time: 0.0298 memory: 11089 grad_norm: 4.9870 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2377 loss: 1.2377 2022/08/03 21:53:07 - mmengine - INFO - Epoch(train) [117][1140/1879] lr: 2.0000e-03 eta: 15:53:40 time: 0.9112 data_time: 0.0249 memory: 11089 grad_norm: 5.0195 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3281 loss: 1.3281 2022/08/03 21:53:26 - mmengine - INFO - Epoch(train) [117][1160/1879] lr: 2.0000e-03 eta: 15:53:21 time: 0.9107 data_time: 0.0225 memory: 11089 grad_norm: 4.9425 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3133 loss: 1.3133 2022/08/03 21:53:44 - mmengine - INFO - Epoch(train) [117][1180/1879] lr: 2.0000e-03 eta: 15:53:03 time: 0.9153 data_time: 0.0284 memory: 11089 grad_norm: 4.9848 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3841 loss: 1.3841 2022/08/03 21:54:02 - mmengine - INFO - Epoch(train) [117][1200/1879] lr: 2.0000e-03 eta: 15:52:45 time: 0.9182 data_time: 0.0319 memory: 11089 grad_norm: 5.0838 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3157 loss: 1.3157 2022/08/03 21:54:21 - mmengine - INFO - Epoch(train) [117][1220/1879] lr: 2.0000e-03 eta: 15:52:27 time: 0.9265 data_time: 0.0284 memory: 11089 grad_norm: 5.1259 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5349 loss: 1.5349 2022/08/03 21:54:39 - mmengine - INFO - Epoch(train) [117][1240/1879] lr: 2.0000e-03 eta: 15:52:09 time: 0.9021 data_time: 0.0284 memory: 11089 grad_norm: 5.0286 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1292 loss: 1.1292 2022/08/03 21:54:57 - mmengine - INFO - Epoch(train) [117][1260/1879] lr: 2.0000e-03 eta: 15:51:50 time: 0.8965 data_time: 0.0198 memory: 11089 grad_norm: 4.8831 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2359 loss: 1.2359 2022/08/03 21:55:15 - mmengine - INFO - Epoch(train) [117][1280/1879] lr: 2.0000e-03 eta: 15:51:32 time: 0.9260 data_time: 0.0309 memory: 11089 grad_norm: 5.1510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3984 loss: 1.3984 2022/08/03 21:55:33 - mmengine - INFO - Epoch(train) [117][1300/1879] lr: 2.0000e-03 eta: 15:51:14 time: 0.9111 data_time: 0.0258 memory: 11089 grad_norm: 5.1291 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1328 loss: 1.1328 2022/08/03 21:55:51 - mmengine - INFO - Epoch(train) [117][1320/1879] lr: 2.0000e-03 eta: 15:50:56 time: 0.8938 data_time: 0.0281 memory: 11089 grad_norm: 5.1109 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2610 loss: 1.2610 2022/08/03 21:56:10 - mmengine - INFO - Epoch(train) [117][1340/1879] lr: 2.0000e-03 eta: 15:50:37 time: 0.9104 data_time: 0.0287 memory: 11089 grad_norm: 4.7564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2303 loss: 1.2303 2022/08/03 21:56:28 - mmengine - INFO - Epoch(train) [117][1360/1879] lr: 2.0000e-03 eta: 15:50:19 time: 0.9206 data_time: 0.0326 memory: 11089 grad_norm: 4.9233 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2195 loss: 1.2195 2022/08/03 21:56:46 - mmengine - INFO - Epoch(train) [117][1380/1879] lr: 2.0000e-03 eta: 15:50:01 time: 0.9194 data_time: 0.0320 memory: 11089 grad_norm: 5.0672 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0452 loss: 1.0452 2022/08/03 21:57:04 - mmengine - INFO - Epoch(train) [117][1400/1879] lr: 2.0000e-03 eta: 15:49:43 time: 0.9032 data_time: 0.0360 memory: 11089 grad_norm: 4.9505 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0859 loss: 1.0859 2022/08/03 21:57:22 - mmengine - INFO - Epoch(train) [117][1420/1879] lr: 2.0000e-03 eta: 15:49:24 time: 0.8923 data_time: 0.0239 memory: 11089 grad_norm: 5.0178 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2760 loss: 1.2760 2022/08/03 21:57:41 - mmengine - INFO - Epoch(train) [117][1440/1879] lr: 2.0000e-03 eta: 15:49:06 time: 0.9122 data_time: 0.0308 memory: 11089 grad_norm: 5.0059 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1806 loss: 1.1806 2022/08/03 21:57:59 - mmengine - INFO - Epoch(train) [117][1460/1879] lr: 2.0000e-03 eta: 15:48:48 time: 0.9268 data_time: 0.0377 memory: 11089 grad_norm: 4.9290 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4226 loss: 1.4226 2022/08/03 21:58:17 - mmengine - INFO - Epoch(train) [117][1480/1879] lr: 2.0000e-03 eta: 15:48:30 time: 0.9092 data_time: 0.0279 memory: 11089 grad_norm: 4.8925 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3275 loss: 1.3275 2022/08/03 21:58:36 - mmengine - INFO - Epoch(train) [117][1500/1879] lr: 2.0000e-03 eta: 15:48:11 time: 0.9217 data_time: 0.0267 memory: 11089 grad_norm: 4.9879 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3926 loss: 1.3926 2022/08/03 21:58:54 - mmengine - INFO - Epoch(train) [117][1520/1879] lr: 2.0000e-03 eta: 15:47:53 time: 0.9219 data_time: 0.0286 memory: 11089 grad_norm: 5.0248 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3947 loss: 1.3947 2022/08/03 21:59:13 - mmengine - INFO - Epoch(train) [117][1540/1879] lr: 2.0000e-03 eta: 15:47:35 time: 0.9299 data_time: 0.0216 memory: 11089 grad_norm: 4.7365 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5021 loss: 1.5021 2022/08/03 21:59:31 - mmengine - INFO - Epoch(train) [117][1560/1879] lr: 2.0000e-03 eta: 15:47:17 time: 0.9201 data_time: 0.0345 memory: 11089 grad_norm: 4.8160 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2259 loss: 1.2259 2022/08/03 21:59:50 - mmengine - INFO - Epoch(train) [117][1580/1879] lr: 2.0000e-03 eta: 15:46:59 time: 0.9162 data_time: 0.0324 memory: 11089 grad_norm: 4.8781 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4056 loss: 1.4056 2022/08/03 22:00:07 - mmengine - INFO - Epoch(train) [117][1600/1879] lr: 2.0000e-03 eta: 15:46:40 time: 0.8986 data_time: 0.0260 memory: 11089 grad_norm: 5.0564 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3831 loss: 1.3831 2022/08/03 22:00:26 - mmengine - INFO - Epoch(train) [117][1620/1879] lr: 2.0000e-03 eta: 15:46:22 time: 0.9257 data_time: 0.0296 memory: 11089 grad_norm: 4.9831 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1320 loss: 1.1320 2022/08/03 22:00:44 - mmengine - INFO - Epoch(train) [117][1640/1879] lr: 2.0000e-03 eta: 15:46:04 time: 0.9177 data_time: 0.0300 memory: 11089 grad_norm: 5.0561 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3116 loss: 1.3116 2022/08/03 22:01:03 - mmengine - INFO - Epoch(train) [117][1660/1879] lr: 2.0000e-03 eta: 15:45:46 time: 0.9236 data_time: 0.0268 memory: 11089 grad_norm: 5.0200 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.3089 loss: 1.3089 2022/08/03 22:01:21 - mmengine - INFO - Epoch(train) [117][1680/1879] lr: 2.0000e-03 eta: 15:45:28 time: 0.9115 data_time: 0.0315 memory: 11089 grad_norm: 5.0365 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2018 loss: 1.2018 2022/08/03 22:01:39 - mmengine - INFO - Epoch(train) [117][1700/1879] lr: 2.0000e-03 eta: 15:45:09 time: 0.9074 data_time: 0.0274 memory: 11089 grad_norm: 5.0046 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3526 loss: 1.3526 2022/08/03 22:01:58 - mmengine - INFO - Epoch(train) [117][1720/1879] lr: 2.0000e-03 eta: 15:44:51 time: 0.9236 data_time: 0.0422 memory: 11089 grad_norm: 5.0672 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3698 loss: 1.3698 2022/08/03 22:02:16 - mmengine - INFO - Epoch(train) [117][1740/1879] lr: 2.0000e-03 eta: 15:44:33 time: 0.9060 data_time: 0.0235 memory: 11089 grad_norm: 5.1525 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1553 loss: 1.1553 2022/08/03 22:02:34 - mmengine - INFO - Epoch(train) [117][1760/1879] lr: 2.0000e-03 eta: 15:44:15 time: 0.9110 data_time: 0.0338 memory: 11089 grad_norm: 5.1430 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3653 loss: 1.3653 2022/08/03 22:02:53 - mmengine - INFO - Epoch(train) [117][1780/1879] lr: 2.0000e-03 eta: 15:43:57 time: 0.9283 data_time: 0.0312 memory: 11089 grad_norm: 5.0950 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2668 loss: 1.2668 2022/08/03 22:03:11 - mmengine - INFO - Epoch(train) [117][1800/1879] lr: 2.0000e-03 eta: 15:43:38 time: 0.9098 data_time: 0.0281 memory: 11089 grad_norm: 5.0857 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2624 loss: 1.2624 2022/08/03 22:03:29 - mmengine - INFO - Epoch(train) [117][1820/1879] lr: 2.0000e-03 eta: 15:43:20 time: 0.9020 data_time: 0.0208 memory: 11089 grad_norm: 5.0379 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1743 loss: 1.1743 2022/08/03 22:03:47 - mmengine - INFO - Epoch(train) [117][1840/1879] lr: 2.0000e-03 eta: 15:43:02 time: 0.9147 data_time: 0.0363 memory: 11089 grad_norm: 4.9173 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4321 loss: 1.4321 2022/08/03 22:04:05 - mmengine - INFO - Epoch(train) [117][1860/1879] lr: 2.0000e-03 eta: 15:42:44 time: 0.9135 data_time: 0.0279 memory: 11089 grad_norm: 4.8688 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1905 loss: 1.1905 2022/08/03 22:04:23 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 22:04:23 - mmengine - INFO - Epoch(train) [117][1879/1879] lr: 2.0000e-03 eta: 15:42:44 time: 0.8958 data_time: 0.0289 memory: 11089 grad_norm: 5.3793 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.3360 loss: 1.3360 2022/08/03 22:04:47 - mmengine - INFO - Epoch(train) [118][20/1879] lr: 2.0000e-03 eta: 15:42:05 time: 1.1905 data_time: 0.1187 memory: 11089 grad_norm: 5.0052 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2515 loss: 1.2515 2022/08/03 22:05:05 - mmengine - INFO - Epoch(train) [118][40/1879] lr: 2.0000e-03 eta: 15:41:47 time: 0.9350 data_time: 0.0196 memory: 11089 grad_norm: 5.1451 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2914 loss: 1.2914 2022/08/03 22:05:24 - mmengine - INFO - Epoch(train) [118][60/1879] lr: 2.0000e-03 eta: 15:41:28 time: 0.9267 data_time: 0.0245 memory: 11089 grad_norm: 4.9437 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3646 loss: 1.3646 2022/08/03 22:05:42 - mmengine - INFO - Epoch(train) [118][80/1879] lr: 2.0000e-03 eta: 15:41:10 time: 0.9117 data_time: 0.0338 memory: 11089 grad_norm: 4.9633 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1572 loss: 1.1572 2022/08/03 22:06:00 - mmengine - INFO - Epoch(train) [118][100/1879] lr: 2.0000e-03 eta: 15:40:52 time: 0.9232 data_time: 0.0283 memory: 11089 grad_norm: 5.0742 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0701 loss: 1.0701 2022/08/03 22:06:19 - mmengine - INFO - Epoch(train) [118][120/1879] lr: 2.0000e-03 eta: 15:40:34 time: 0.9093 data_time: 0.0228 memory: 11089 grad_norm: 4.9518 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3255 loss: 1.3255 2022/08/03 22:06:37 - mmengine - INFO - Epoch(train) [118][140/1879] lr: 2.0000e-03 eta: 15:40:15 time: 0.9091 data_time: 0.0307 memory: 11089 grad_norm: 4.9740 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3388 loss: 1.3388 2022/08/03 22:06:52 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 22:06:55 - mmengine - INFO - Epoch(train) [118][160/1879] lr: 2.0000e-03 eta: 15:39:57 time: 0.9005 data_time: 0.0286 memory: 11089 grad_norm: 4.9298 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2859 loss: 1.2859 2022/08/03 22:07:13 - mmengine - INFO - Epoch(train) [118][180/1879] lr: 2.0000e-03 eta: 15:39:39 time: 0.9228 data_time: 0.0320 memory: 11089 grad_norm: 5.1271 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4485 loss: 1.4485 2022/08/03 22:07:31 - mmengine - INFO - Epoch(train) [118][200/1879] lr: 2.0000e-03 eta: 15:39:21 time: 0.9025 data_time: 0.0266 memory: 11089 grad_norm: 5.1188 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3736 loss: 1.3736 2022/08/03 22:07:50 - mmengine - INFO - Epoch(train) [118][220/1879] lr: 2.0000e-03 eta: 15:39:02 time: 0.9113 data_time: 0.0340 memory: 11089 grad_norm: 5.1186 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2447 loss: 1.2447 2022/08/03 22:08:07 - mmengine - INFO - Epoch(train) [118][240/1879] lr: 2.0000e-03 eta: 15:38:44 time: 0.8921 data_time: 0.0287 memory: 11089 grad_norm: 5.0791 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2585 loss: 1.2585 2022/08/03 22:08:26 - mmengine - INFO - Epoch(train) [118][260/1879] lr: 2.0000e-03 eta: 15:38:26 time: 0.9087 data_time: 0.0281 memory: 11089 grad_norm: 5.1639 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3294 loss: 1.3294 2022/08/03 22:08:44 - mmengine - INFO - Epoch(train) [118][280/1879] lr: 2.0000e-03 eta: 15:38:08 time: 0.9188 data_time: 0.0318 memory: 11089 grad_norm: 4.8605 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2849 loss: 1.2849 2022/08/03 22:09:03 - mmengine - INFO - Epoch(train) [118][300/1879] lr: 2.0000e-03 eta: 15:37:50 time: 0.9322 data_time: 0.0321 memory: 11089 grad_norm: 4.7585 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2005 loss: 1.2005 2022/08/03 22:09:21 - mmengine - INFO - Epoch(train) [118][320/1879] lr: 2.0000e-03 eta: 15:37:31 time: 0.9104 data_time: 0.0248 memory: 11089 grad_norm: 5.1161 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3484 loss: 1.3484 2022/08/03 22:09:39 - mmengine - INFO - Epoch(train) [118][340/1879] lr: 2.0000e-03 eta: 15:37:13 time: 0.8985 data_time: 0.0282 memory: 11089 grad_norm: 4.9655 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3277 loss: 1.3277 2022/08/03 22:09:57 - mmengine - INFO - Epoch(train) [118][360/1879] lr: 2.0000e-03 eta: 15:36:55 time: 0.9079 data_time: 0.0257 memory: 11089 grad_norm: 4.8933 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2483 loss: 1.2483 2022/08/03 22:10:15 - mmengine - INFO - Epoch(train) [118][380/1879] lr: 2.0000e-03 eta: 15:36:36 time: 0.9075 data_time: 0.0275 memory: 11089 grad_norm: 5.0193 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3291 loss: 1.3291 2022/08/03 22:10:33 - mmengine - INFO - Epoch(train) [118][400/1879] lr: 2.0000e-03 eta: 15:36:18 time: 0.9115 data_time: 0.0273 memory: 11089 grad_norm: 5.1520 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6494 loss: 1.6494 2022/08/03 22:10:52 - mmengine - INFO - Epoch(train) [118][420/1879] lr: 2.0000e-03 eta: 15:36:00 time: 0.9115 data_time: 0.0219 memory: 11089 grad_norm: 5.0999 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3765 loss: 1.3765 2022/08/03 22:11:10 - mmengine - INFO - Epoch(train) [118][440/1879] lr: 2.0000e-03 eta: 15:35:42 time: 0.9187 data_time: 0.0329 memory: 11089 grad_norm: 4.9529 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2594 loss: 1.2594 2022/08/03 22:11:28 - mmengine - INFO - Epoch(train) [118][460/1879] lr: 2.0000e-03 eta: 15:35:24 time: 0.9141 data_time: 0.0246 memory: 11089 grad_norm: 4.9988 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2141 loss: 1.2141 2022/08/03 22:11:47 - mmengine - INFO - Epoch(train) [118][480/1879] lr: 2.0000e-03 eta: 15:35:05 time: 0.9349 data_time: 0.0384 memory: 11089 grad_norm: 4.8176 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2385 loss: 1.2385 2022/08/03 22:12:05 - mmengine - INFO - Epoch(train) [118][500/1879] lr: 2.0000e-03 eta: 15:34:47 time: 0.9067 data_time: 0.0239 memory: 11089 grad_norm: 5.0050 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3885 loss: 1.3885 2022/08/03 22:12:23 - mmengine - INFO - Epoch(train) [118][520/1879] lr: 2.0000e-03 eta: 15:34:29 time: 0.9140 data_time: 0.0281 memory: 11089 grad_norm: 5.0071 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1128 loss: 1.1128 2022/08/03 22:12:42 - mmengine - INFO - Epoch(train) [118][540/1879] lr: 2.0000e-03 eta: 15:34:11 time: 0.9334 data_time: 0.0264 memory: 11089 grad_norm: 5.1462 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3945 loss: 1.3945 2022/08/03 22:13:01 - mmengine - INFO - Epoch(train) [118][560/1879] lr: 2.0000e-03 eta: 15:33:53 time: 0.9266 data_time: 0.0323 memory: 11089 grad_norm: 4.9937 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2162 loss: 1.2162 2022/08/03 22:13:19 - mmengine - INFO - Epoch(train) [118][580/1879] lr: 2.0000e-03 eta: 15:33:34 time: 0.9088 data_time: 0.0288 memory: 11089 grad_norm: 4.8976 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4109 loss: 1.4109 2022/08/03 22:13:37 - mmengine - INFO - Epoch(train) [118][600/1879] lr: 2.0000e-03 eta: 15:33:16 time: 0.9043 data_time: 0.0299 memory: 11089 grad_norm: 4.9830 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2607 loss: 1.2607 2022/08/03 22:13:55 - mmengine - INFO - Epoch(train) [118][620/1879] lr: 2.0000e-03 eta: 15:32:58 time: 0.8884 data_time: 0.0248 memory: 11089 grad_norm: 4.9656 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1042 loss: 1.1042 2022/08/03 22:14:13 - mmengine - INFO - Epoch(train) [118][640/1879] lr: 2.0000e-03 eta: 15:32:39 time: 0.9024 data_time: 0.0332 memory: 11089 grad_norm: 5.0722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1793 loss: 1.1793 2022/08/03 22:14:31 - mmengine - INFO - Epoch(train) [118][660/1879] lr: 2.0000e-03 eta: 15:32:21 time: 0.9026 data_time: 0.0251 memory: 11089 grad_norm: 5.1186 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2962 loss: 1.2962 2022/08/03 22:14:49 - mmengine - INFO - Epoch(train) [118][680/1879] lr: 2.0000e-03 eta: 15:32:03 time: 0.9134 data_time: 0.0304 memory: 11089 grad_norm: 5.1375 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2250 loss: 1.2250 2022/08/03 22:15:08 - mmengine - INFO - Epoch(train) [118][700/1879] lr: 2.0000e-03 eta: 15:31:45 time: 0.9199 data_time: 0.0268 memory: 11089 grad_norm: 5.0593 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4104 loss: 1.4104 2022/08/03 22:15:26 - mmengine - INFO - Epoch(train) [118][720/1879] lr: 2.0000e-03 eta: 15:31:26 time: 0.9002 data_time: 0.0328 memory: 11089 grad_norm: 4.9647 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3867 loss: 1.3867 2022/08/03 22:15:44 - mmengine - INFO - Epoch(train) [118][740/1879] lr: 2.0000e-03 eta: 15:31:08 time: 0.9046 data_time: 0.0233 memory: 11089 grad_norm: 5.0792 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3917 loss: 1.3917 2022/08/03 22:16:02 - mmengine - INFO - Epoch(train) [118][760/1879] lr: 2.0000e-03 eta: 15:30:50 time: 0.9154 data_time: 0.0267 memory: 11089 grad_norm: 5.0270 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3812 loss: 1.3812 2022/08/03 22:16:20 - mmengine - INFO - Epoch(train) [118][780/1879] lr: 2.0000e-03 eta: 15:30:32 time: 0.9112 data_time: 0.0298 memory: 11089 grad_norm: 5.0717 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3000 loss: 1.3000 2022/08/03 22:16:38 - mmengine - INFO - Epoch(train) [118][800/1879] lr: 2.0000e-03 eta: 15:30:13 time: 0.9053 data_time: 0.0276 memory: 11089 grad_norm: 4.8843 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2135 loss: 1.2135 2022/08/03 22:17:05 - mmengine - INFO - Epoch(train) [118][820/1879] lr: 2.0000e-03 eta: 15:29:57 time: 1.3240 data_time: 0.4203 memory: 11089 grad_norm: 5.1256 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3172 loss: 1.3172 2022/08/03 22:17:23 - mmengine - INFO - Epoch(train) [118][840/1879] lr: 2.0000e-03 eta: 15:29:39 time: 0.8985 data_time: 0.0257 memory: 11089 grad_norm: 5.0371 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3423 loss: 1.3423 2022/08/03 22:17:41 - mmengine - INFO - Epoch(train) [118][860/1879] lr: 2.0000e-03 eta: 15:29:21 time: 0.9086 data_time: 0.0249 memory: 11089 grad_norm: 5.1387 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6846 loss: 1.6846 2022/08/03 22:17:59 - mmengine - INFO - Epoch(train) [118][880/1879] lr: 2.0000e-03 eta: 15:29:03 time: 0.9175 data_time: 0.0321 memory: 11089 grad_norm: 5.0011 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5472 loss: 1.5472 2022/08/03 22:18:17 - mmengine - INFO - Epoch(train) [118][900/1879] lr: 2.0000e-03 eta: 15:28:44 time: 0.9058 data_time: 0.0245 memory: 11089 grad_norm: 4.9392 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3910 loss: 1.3910 2022/08/03 22:18:36 - mmengine - INFO - Epoch(train) [118][920/1879] lr: 2.0000e-03 eta: 15:28:26 time: 0.9394 data_time: 0.0214 memory: 11089 grad_norm: 5.0241 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1394 loss: 1.1394 2022/08/03 22:18:54 - mmengine - INFO - Epoch(train) [118][940/1879] lr: 2.0000e-03 eta: 15:28:08 time: 0.9052 data_time: 0.0265 memory: 11089 grad_norm: 5.1615 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3876 loss: 1.3876 2022/08/03 22:19:13 - mmengine - INFO - Epoch(train) [118][960/1879] lr: 2.0000e-03 eta: 15:27:50 time: 0.9150 data_time: 0.0266 memory: 11089 grad_norm: 4.9603 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1644 loss: 1.1644 2022/08/03 22:19:31 - mmengine - INFO - Epoch(train) [118][980/1879] lr: 2.0000e-03 eta: 15:27:32 time: 0.8953 data_time: 0.0289 memory: 11089 grad_norm: 5.0127 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.2391 loss: 1.2391 2022/08/03 22:19:51 - mmengine - INFO - Epoch(train) [118][1000/1879] lr: 2.0000e-03 eta: 15:27:14 time: 1.0046 data_time: 0.1117 memory: 11089 grad_norm: 4.8887 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2408 loss: 1.2408 2022/08/03 22:20:09 - mmengine - INFO - Epoch(train) [118][1020/1879] lr: 2.0000e-03 eta: 15:26:56 time: 0.9192 data_time: 0.0303 memory: 11089 grad_norm: 5.1872 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4856 loss: 1.4856 2022/08/03 22:20:27 - mmengine - INFO - Epoch(train) [118][1040/1879] lr: 2.0000e-03 eta: 15:26:37 time: 0.9050 data_time: 0.0311 memory: 11089 grad_norm: 5.1422 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3968 loss: 1.3968 2022/08/03 22:20:45 - mmengine - INFO - Epoch(train) [118][1060/1879] lr: 2.0000e-03 eta: 15:26:19 time: 0.9149 data_time: 0.0232 memory: 11089 grad_norm: 4.9998 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1895 loss: 1.1895 2022/08/03 22:21:04 - mmengine - INFO - Epoch(train) [118][1080/1879] lr: 2.0000e-03 eta: 15:26:01 time: 0.9057 data_time: 0.0252 memory: 11089 grad_norm: 5.2070 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5005 loss: 1.5005 2022/08/03 22:21:22 - mmengine - INFO - Epoch(train) [118][1100/1879] lr: 2.0000e-03 eta: 15:25:43 time: 0.9201 data_time: 0.0251 memory: 11089 grad_norm: 5.2278 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1803 loss: 1.1803 2022/08/03 22:21:41 - mmengine - INFO - Epoch(train) [118][1120/1879] lr: 2.0000e-03 eta: 15:25:24 time: 0.9286 data_time: 0.0401 memory: 11089 grad_norm: 5.2860 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4113 loss: 1.4113 2022/08/03 22:21:59 - mmengine - INFO - Epoch(train) [118][1140/1879] lr: 2.0000e-03 eta: 15:25:06 time: 0.9146 data_time: 0.0283 memory: 11089 grad_norm: 5.1889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3091 loss: 1.3091 2022/08/03 22:22:15 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 22:22:17 - mmengine - INFO - Epoch(train) [118][1160/1879] lr: 2.0000e-03 eta: 15:24:48 time: 0.9199 data_time: 0.0352 memory: 11089 grad_norm: 5.1641 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3041 loss: 1.3041 2022/08/03 22:22:36 - mmengine - INFO - Epoch(train) [118][1180/1879] lr: 2.0000e-03 eta: 15:24:30 time: 0.9121 data_time: 0.0249 memory: 11089 grad_norm: 5.0457 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3077 loss: 1.3077 2022/08/03 22:22:54 - mmengine - INFO - Epoch(train) [118][1200/1879] lr: 2.0000e-03 eta: 15:24:12 time: 0.9118 data_time: 0.0246 memory: 11089 grad_norm: 5.1432 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2249 loss: 1.2249 2022/08/03 22:23:12 - mmengine - INFO - Epoch(train) [118][1220/1879] lr: 2.0000e-03 eta: 15:23:53 time: 0.9106 data_time: 0.0237 memory: 11089 grad_norm: 4.9859 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9841 loss: 0.9841 2022/08/03 22:23:30 - mmengine - INFO - Epoch(train) [118][1240/1879] lr: 2.0000e-03 eta: 15:23:35 time: 0.9162 data_time: 0.0281 memory: 11089 grad_norm: 5.0369 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2079 loss: 1.2079 2022/08/03 22:23:49 - mmengine - INFO - Epoch(train) [118][1260/1879] lr: 2.0000e-03 eta: 15:23:17 time: 0.9095 data_time: 0.0236 memory: 11089 grad_norm: 5.0107 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5324 loss: 1.5324 2022/08/03 22:24:07 - mmengine - INFO - Epoch(train) [118][1280/1879] lr: 2.0000e-03 eta: 15:22:59 time: 0.9101 data_time: 0.0303 memory: 11089 grad_norm: 5.1313 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4101 loss: 1.4101 2022/08/03 22:24:25 - mmengine - INFO - Epoch(train) [118][1300/1879] lr: 2.0000e-03 eta: 15:22:40 time: 0.9123 data_time: 0.0224 memory: 11089 grad_norm: 4.9886 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3429 loss: 1.3429 2022/08/03 22:24:43 - mmengine - INFO - Epoch(train) [118][1320/1879] lr: 2.0000e-03 eta: 15:22:22 time: 0.9143 data_time: 0.0281 memory: 11089 grad_norm: 5.0546 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4671 loss: 1.4671 2022/08/03 22:25:01 - mmengine - INFO - Epoch(train) [118][1340/1879] lr: 2.0000e-03 eta: 15:22:04 time: 0.8977 data_time: 0.0303 memory: 11089 grad_norm: 5.1092 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3934 loss: 1.3934 2022/08/03 22:25:20 - mmengine - INFO - Epoch(train) [118][1360/1879] lr: 2.0000e-03 eta: 15:21:46 time: 0.9178 data_time: 0.0256 memory: 11089 grad_norm: 5.0368 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2356 loss: 1.2356 2022/08/03 22:25:37 - mmengine - INFO - Epoch(train) [118][1380/1879] lr: 2.0000e-03 eta: 15:21:27 time: 0.8927 data_time: 0.0262 memory: 11089 grad_norm: 4.8965 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2130 loss: 1.2130 2022/08/03 22:25:55 - mmengine - INFO - Epoch(train) [118][1400/1879] lr: 2.0000e-03 eta: 15:21:09 time: 0.8989 data_time: 0.0210 memory: 11089 grad_norm: 5.1565 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4862 loss: 1.4862 2022/08/03 22:26:14 - mmengine - INFO - Epoch(train) [118][1420/1879] lr: 2.0000e-03 eta: 15:20:51 time: 0.9279 data_time: 0.0363 memory: 11089 grad_norm: 5.1034 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3797 loss: 1.3797 2022/08/03 22:26:32 - mmengine - INFO - Epoch(train) [118][1440/1879] lr: 2.0000e-03 eta: 15:20:33 time: 0.9143 data_time: 0.0264 memory: 11089 grad_norm: 5.1423 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2302 loss: 1.2302 2022/08/03 22:26:51 - mmengine - INFO - Epoch(train) [118][1460/1879] lr: 2.0000e-03 eta: 15:20:14 time: 0.9232 data_time: 0.0246 memory: 11089 grad_norm: 5.0834 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3459 loss: 1.3459 2022/08/03 22:27:09 - mmengine - INFO - Epoch(train) [118][1480/1879] lr: 2.0000e-03 eta: 15:19:56 time: 0.9098 data_time: 0.0297 memory: 11089 grad_norm: 5.0918 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3752 loss: 1.3752 2022/08/03 22:27:27 - mmengine - INFO - Epoch(train) [118][1500/1879] lr: 2.0000e-03 eta: 15:19:38 time: 0.9086 data_time: 0.0270 memory: 11089 grad_norm: 5.1742 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4609 loss: 1.4609 2022/08/03 22:27:46 - mmengine - INFO - Epoch(train) [118][1520/1879] lr: 2.0000e-03 eta: 15:19:20 time: 0.9261 data_time: 0.0278 memory: 11089 grad_norm: 5.0410 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2376 loss: 1.2376 2022/08/03 22:28:04 - mmengine - INFO - Epoch(train) [118][1540/1879] lr: 2.0000e-03 eta: 15:19:02 time: 0.9274 data_time: 0.0269 memory: 11089 grad_norm: 4.8901 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3022 loss: 1.3022 2022/08/03 22:28:23 - mmengine - INFO - Epoch(train) [118][1560/1879] lr: 2.0000e-03 eta: 15:18:43 time: 0.9125 data_time: 0.0289 memory: 11089 grad_norm: 5.1026 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2455 loss: 1.2455 2022/08/03 22:28:41 - mmengine - INFO - Epoch(train) [118][1580/1879] lr: 2.0000e-03 eta: 15:18:25 time: 0.9172 data_time: 0.0394 memory: 11089 grad_norm: 5.0069 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2624 loss: 1.2624 2022/08/03 22:28:59 - mmengine - INFO - Epoch(train) [118][1600/1879] lr: 2.0000e-03 eta: 15:18:07 time: 0.9166 data_time: 0.0258 memory: 11089 grad_norm: 5.2253 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4663 loss: 1.4663 2022/08/03 22:29:17 - mmengine - INFO - Epoch(train) [118][1620/1879] lr: 2.0000e-03 eta: 15:17:49 time: 0.9140 data_time: 0.0280 memory: 11089 grad_norm: 5.0227 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3215 loss: 1.3215 2022/08/03 22:29:35 - mmengine - INFO - Epoch(train) [118][1640/1879] lr: 2.0000e-03 eta: 15:17:30 time: 0.8967 data_time: 0.0360 memory: 11089 grad_norm: 5.0841 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4565 loss: 1.4565 2022/08/03 22:29:54 - mmengine - INFO - Epoch(train) [118][1660/1879] lr: 2.0000e-03 eta: 15:17:12 time: 0.9063 data_time: 0.0233 memory: 11089 grad_norm: 5.2378 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4045 loss: 1.4045 2022/08/03 22:30:11 - mmengine - INFO - Epoch(train) [118][1680/1879] lr: 2.0000e-03 eta: 15:16:54 time: 0.8939 data_time: 0.0297 memory: 11089 grad_norm: 4.9624 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4471 loss: 1.4471 2022/08/03 22:30:29 - mmengine - INFO - Epoch(train) [118][1700/1879] lr: 2.0000e-03 eta: 15:16:35 time: 0.8956 data_time: 0.0270 memory: 11089 grad_norm: 5.1225 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2694 loss: 1.2694 2022/08/03 22:30:48 - mmengine - INFO - Epoch(train) [118][1720/1879] lr: 2.0000e-03 eta: 15:16:17 time: 0.9220 data_time: 0.0317 memory: 11089 grad_norm: 5.1060 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3849 loss: 1.3849 2022/08/03 22:31:06 - mmengine - INFO - Epoch(train) [118][1740/1879] lr: 2.0000e-03 eta: 15:15:59 time: 0.9254 data_time: 0.0345 memory: 11089 grad_norm: 5.0833 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2386 loss: 1.2386 2022/08/03 22:31:25 - mmengine - INFO - Epoch(train) [118][1760/1879] lr: 2.0000e-03 eta: 15:15:41 time: 0.9158 data_time: 0.0259 memory: 11089 grad_norm: 5.4972 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4056 loss: 1.4056 2022/08/03 22:31:43 - mmengine - INFO - Epoch(train) [118][1780/1879] lr: 2.0000e-03 eta: 15:15:23 time: 0.9033 data_time: 0.0323 memory: 11089 grad_norm: 4.9197 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3530 loss: 1.3530 2022/08/03 22:32:01 - mmengine - INFO - Epoch(train) [118][1800/1879] lr: 2.0000e-03 eta: 15:15:04 time: 0.9208 data_time: 0.0276 memory: 11089 grad_norm: 5.1022 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3579 loss: 1.3579 2022/08/03 22:32:20 - mmengine - INFO - Epoch(train) [118][1820/1879] lr: 2.0000e-03 eta: 15:14:46 time: 0.9203 data_time: 0.0242 memory: 11089 grad_norm: 5.1928 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2907 loss: 1.2907 2022/08/03 22:32:38 - mmengine - INFO - Epoch(train) [118][1840/1879] lr: 2.0000e-03 eta: 15:14:28 time: 0.9042 data_time: 0.0285 memory: 11089 grad_norm: 5.0500 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2735 loss: 1.2735 2022/08/03 22:32:56 - mmengine - INFO - Epoch(train) [118][1860/1879] lr: 2.0000e-03 eta: 15:14:10 time: 0.9057 data_time: 0.0337 memory: 11089 grad_norm: 5.1072 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1914 loss: 1.1914 2022/08/03 22:33:13 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 22:33:13 - mmengine - INFO - Epoch(train) [118][1879/1879] lr: 2.0000e-03 eta: 15:14:10 time: 0.8928 data_time: 0.0291 memory: 11089 grad_norm: 5.2071 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2021 loss: 1.2021 2022/08/03 22:33:34 - mmengine - INFO - Epoch(train) [119][20/1879] lr: 2.0000e-03 eta: 15:13:30 time: 1.0533 data_time: 0.1190 memory: 11089 grad_norm: 5.1283 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1114 loss: 1.1114 2022/08/03 22:33:52 - mmengine - INFO - Epoch(train) [119][40/1879] lr: 2.0000e-03 eta: 15:13:12 time: 0.9042 data_time: 0.0259 memory: 11089 grad_norm: 5.1523 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2843 loss: 1.2843 2022/08/03 22:34:11 - mmengine - INFO - Epoch(train) [119][60/1879] lr: 2.0000e-03 eta: 15:12:54 time: 0.9432 data_time: 0.0250 memory: 11089 grad_norm: 4.8541 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2909 loss: 1.2909 2022/08/03 22:34:29 - mmengine - INFO - Epoch(train) [119][80/1879] lr: 2.0000e-03 eta: 15:12:36 time: 0.9138 data_time: 0.0336 memory: 11089 grad_norm: 5.0740 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3260 loss: 1.3260 2022/08/03 22:34:47 - mmengine - INFO - Epoch(train) [119][100/1879] lr: 2.0000e-03 eta: 15:12:17 time: 0.9075 data_time: 0.0224 memory: 11089 grad_norm: 5.0804 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3684 loss: 1.3684 2022/08/03 22:35:06 - mmengine - INFO - Epoch(train) [119][120/1879] lr: 2.0000e-03 eta: 15:11:59 time: 0.9123 data_time: 0.0255 memory: 11089 grad_norm: 5.0530 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.3282 loss: 1.3282 2022/08/03 22:35:24 - mmengine - INFO - Epoch(train) [119][140/1879] lr: 2.0000e-03 eta: 15:11:41 time: 0.9230 data_time: 0.0252 memory: 11089 grad_norm: 5.0336 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4603 loss: 1.4603 2022/08/03 22:35:42 - mmengine - INFO - Epoch(train) [119][160/1879] lr: 2.0000e-03 eta: 15:11:23 time: 0.9093 data_time: 0.0283 memory: 11089 grad_norm: 4.9462 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2462 loss: 1.2462 2022/08/03 22:36:01 - mmengine - INFO - Epoch(train) [119][180/1879] lr: 2.0000e-03 eta: 15:11:05 time: 0.9257 data_time: 0.0275 memory: 11089 grad_norm: 5.0706 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1490 loss: 1.1490 2022/08/03 22:36:19 - mmengine - INFO - Epoch(train) [119][200/1879] lr: 2.0000e-03 eta: 15:10:46 time: 0.8908 data_time: 0.0298 memory: 11089 grad_norm: 4.9844 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3660 loss: 1.3660 2022/08/03 22:36:37 - mmengine - INFO - Epoch(train) [119][220/1879] lr: 2.0000e-03 eta: 15:10:28 time: 0.9085 data_time: 0.0311 memory: 11089 grad_norm: 5.0804 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5549 loss: 1.5549 2022/08/03 22:36:55 - mmengine - INFO - Epoch(train) [119][240/1879] lr: 2.0000e-03 eta: 15:10:10 time: 0.9302 data_time: 0.0284 memory: 11089 grad_norm: 5.1348 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2003 loss: 1.2003 2022/08/03 22:37:13 - mmengine - INFO - Epoch(train) [119][260/1879] lr: 2.0000e-03 eta: 15:09:51 time: 0.9000 data_time: 0.0319 memory: 11089 grad_norm: 5.1050 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3750 loss: 1.3750 2022/08/03 22:37:31 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 22:37:33 - mmengine - INFO - Epoch(train) [119][280/1879] lr: 2.0000e-03 eta: 15:09:34 time: 0.9635 data_time: 0.0267 memory: 11089 grad_norm: 5.1448 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3341 loss: 1.3341 2022/08/03 22:37:50 - mmengine - INFO - Epoch(train) [119][300/1879] lr: 2.0000e-03 eta: 15:09:15 time: 0.8734 data_time: 0.0230 memory: 11089 grad_norm: 4.9894 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1778 loss: 1.1778 2022/08/03 22:38:09 - mmengine - INFO - Epoch(train) [119][320/1879] lr: 2.0000e-03 eta: 15:08:57 time: 0.9215 data_time: 0.0288 memory: 11089 grad_norm: 5.0828 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4358 loss: 1.4358 2022/08/03 22:38:27 - mmengine - INFO - Epoch(train) [119][340/1879] lr: 2.0000e-03 eta: 15:08:39 time: 0.9250 data_time: 0.0328 memory: 11089 grad_norm: 4.9675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1709 loss: 1.1709 2022/08/03 22:38:46 - mmengine - INFO - Epoch(train) [119][360/1879] lr: 2.0000e-03 eta: 15:08:21 time: 0.9290 data_time: 0.0255 memory: 11089 grad_norm: 5.0891 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2984 loss: 1.2984 2022/08/03 22:39:04 - mmengine - INFO - Epoch(train) [119][380/1879] lr: 2.0000e-03 eta: 15:08:02 time: 0.9218 data_time: 0.0295 memory: 11089 grad_norm: 5.0010 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0892 loss: 1.0892 2022/08/03 22:39:22 - mmengine - INFO - Epoch(train) [119][400/1879] lr: 2.0000e-03 eta: 15:07:44 time: 0.9110 data_time: 0.0258 memory: 11089 grad_norm: 5.1785 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4217 loss: 1.4217 2022/08/03 22:39:40 - mmengine - INFO - Epoch(train) [119][420/1879] lr: 2.0000e-03 eta: 15:07:26 time: 0.9062 data_time: 0.0274 memory: 11089 grad_norm: 4.9988 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1424 loss: 1.1424 2022/08/03 22:39:59 - mmengine - INFO - Epoch(train) [119][440/1879] lr: 2.0000e-03 eta: 15:07:08 time: 0.9402 data_time: 0.0359 memory: 11089 grad_norm: 5.1092 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5774 loss: 1.5774 2022/08/03 22:40:18 - mmengine - INFO - Epoch(train) [119][460/1879] lr: 2.0000e-03 eta: 15:06:50 time: 0.9288 data_time: 0.0255 memory: 11089 grad_norm: 4.9761 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3138 loss: 1.3138 2022/08/03 22:40:37 - mmengine - INFO - Epoch(train) [119][480/1879] lr: 2.0000e-03 eta: 15:06:32 time: 0.9327 data_time: 0.0263 memory: 11089 grad_norm: 5.1825 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2422 loss: 1.2422 2022/08/03 22:40:55 - mmengine - INFO - Epoch(train) [119][500/1879] lr: 2.0000e-03 eta: 15:06:13 time: 0.9156 data_time: 0.0267 memory: 11089 grad_norm: 5.0456 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2649 loss: 1.2649 2022/08/03 22:41:13 - mmengine - INFO - Epoch(train) [119][520/1879] lr: 2.0000e-03 eta: 15:05:55 time: 0.9042 data_time: 0.0264 memory: 11089 grad_norm: 5.0921 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3272 loss: 1.3272 2022/08/03 22:41:31 - mmengine - INFO - Epoch(train) [119][540/1879] lr: 2.0000e-03 eta: 15:05:37 time: 0.9019 data_time: 0.0297 memory: 11089 grad_norm: 5.2584 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1643 loss: 1.1643 2022/08/03 22:41:49 - mmengine - INFO - Epoch(train) [119][560/1879] lr: 2.0000e-03 eta: 15:05:19 time: 0.9158 data_time: 0.0388 memory: 11089 grad_norm: 5.0365 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3204 loss: 1.3204 2022/08/03 22:42:07 - mmengine - INFO - Epoch(train) [119][580/1879] lr: 2.0000e-03 eta: 15:05:00 time: 0.8954 data_time: 0.0282 memory: 11089 grad_norm: 5.2579 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.2914 loss: 1.2914 2022/08/03 22:42:25 - mmengine - INFO - Epoch(train) [119][600/1879] lr: 2.0000e-03 eta: 15:04:42 time: 0.9093 data_time: 0.0292 memory: 11089 grad_norm: 5.1406 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2327 loss: 1.2327 2022/08/03 22:42:44 - mmengine - INFO - Epoch(train) [119][620/1879] lr: 2.0000e-03 eta: 15:04:24 time: 0.9233 data_time: 0.0265 memory: 11089 grad_norm: 5.0060 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2354 loss: 1.2354 2022/08/03 22:43:02 - mmengine - INFO - Epoch(train) [119][640/1879] lr: 2.0000e-03 eta: 15:04:06 time: 0.9263 data_time: 0.0317 memory: 11089 grad_norm: 5.1529 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4231 loss: 1.4231 2022/08/03 22:43:21 - mmengine - INFO - Epoch(train) [119][660/1879] lr: 2.0000e-03 eta: 15:03:47 time: 0.9264 data_time: 0.0328 memory: 11089 grad_norm: 5.1316 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4477 loss: 1.4477 2022/08/03 22:43:39 - mmengine - INFO - Epoch(train) [119][680/1879] lr: 2.0000e-03 eta: 15:03:29 time: 0.9220 data_time: 0.0279 memory: 11089 grad_norm: 4.9946 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2840 loss: 1.2840 2022/08/03 22:43:58 - mmengine - INFO - Epoch(train) [119][700/1879] lr: 2.0000e-03 eta: 15:03:11 time: 0.9234 data_time: 0.0257 memory: 11089 grad_norm: 4.9899 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1848 loss: 1.1848 2022/08/03 22:44:16 - mmengine - INFO - Epoch(train) [119][720/1879] lr: 2.0000e-03 eta: 15:02:53 time: 0.9294 data_time: 0.0325 memory: 11089 grad_norm: 5.1752 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2972 loss: 1.2972 2022/08/03 22:44:35 - mmengine - INFO - Epoch(train) [119][740/1879] lr: 2.0000e-03 eta: 15:02:35 time: 0.9260 data_time: 0.0276 memory: 11089 grad_norm: 5.1581 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2588 loss: 1.2588 2022/08/03 22:44:53 - mmengine - INFO - Epoch(train) [119][760/1879] lr: 2.0000e-03 eta: 15:02:17 time: 0.9075 data_time: 0.0234 memory: 11089 grad_norm: 5.1577 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2924 loss: 1.2924 2022/08/03 22:45:12 - mmengine - INFO - Epoch(train) [119][780/1879] lr: 2.0000e-03 eta: 15:01:58 time: 0.9386 data_time: 0.0266 memory: 11089 grad_norm: 5.0683 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2889 loss: 1.2889 2022/08/03 22:45:30 - mmengine - INFO - Epoch(train) [119][800/1879] lr: 2.0000e-03 eta: 15:01:40 time: 0.9129 data_time: 0.0343 memory: 11089 grad_norm: 5.3335 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.3482 loss: 1.3482 2022/08/03 22:45:48 - mmengine - INFO - Epoch(train) [119][820/1879] lr: 2.0000e-03 eta: 15:01:22 time: 0.9156 data_time: 0.0335 memory: 11089 grad_norm: 5.2271 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3362 loss: 1.3362 2022/08/03 22:46:07 - mmengine - INFO - Epoch(train) [119][840/1879] lr: 2.0000e-03 eta: 15:01:04 time: 0.9178 data_time: 0.0318 memory: 11089 grad_norm: 5.2210 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3187 loss: 1.3187 2022/08/03 22:46:25 - mmengine - INFO - Epoch(train) [119][860/1879] lr: 2.0000e-03 eta: 15:00:46 time: 0.9201 data_time: 0.0318 memory: 11089 grad_norm: 5.1205 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5277 loss: 1.5277 2022/08/03 22:46:43 - mmengine - INFO - Epoch(train) [119][880/1879] lr: 2.0000e-03 eta: 15:00:27 time: 0.9016 data_time: 0.0267 memory: 11089 grad_norm: 4.8912 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3101 loss: 1.3101 2022/08/03 22:47:02 - mmengine - INFO - Epoch(train) [119][900/1879] lr: 2.0000e-03 eta: 15:00:09 time: 0.9201 data_time: 0.0311 memory: 11089 grad_norm: 5.0601 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2872 loss: 1.2872 2022/08/03 22:47:20 - mmengine - INFO - Epoch(train) [119][920/1879] lr: 2.0000e-03 eta: 14:59:51 time: 0.9356 data_time: 0.0380 memory: 11089 grad_norm: 5.3974 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2378 loss: 1.2378 2022/08/03 22:47:39 - mmengine - INFO - Epoch(train) [119][940/1879] lr: 2.0000e-03 eta: 14:59:33 time: 0.9176 data_time: 0.0215 memory: 11089 grad_norm: 5.1095 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4543 loss: 1.4543 2022/08/03 22:47:57 - mmengine - INFO - Epoch(train) [119][960/1879] lr: 2.0000e-03 eta: 14:59:15 time: 0.9257 data_time: 0.0280 memory: 11089 grad_norm: 5.1465 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2502 loss: 1.2502 2022/08/03 22:48:16 - mmengine - INFO - Epoch(train) [119][980/1879] lr: 2.0000e-03 eta: 14:58:56 time: 0.9217 data_time: 0.0308 memory: 11089 grad_norm: 4.9324 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0460 loss: 1.0460 2022/08/03 22:48:34 - mmengine - INFO - Epoch(train) [119][1000/1879] lr: 2.0000e-03 eta: 14:58:38 time: 0.9282 data_time: 0.0293 memory: 11089 grad_norm: 4.9081 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2601 loss: 1.2601 2022/08/03 22:48:53 - mmengine - INFO - Epoch(train) [119][1020/1879] lr: 2.0000e-03 eta: 14:58:20 time: 0.9200 data_time: 0.0329 memory: 11089 grad_norm: 4.9754 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2342 loss: 1.2342 2022/08/03 22:49:11 - mmengine - INFO - Epoch(train) [119][1040/1879] lr: 2.0000e-03 eta: 14:58:02 time: 0.9153 data_time: 0.0339 memory: 11089 grad_norm: 5.1873 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2714 loss: 1.2714 2022/08/03 22:49:29 - mmengine - INFO - Epoch(train) [119][1060/1879] lr: 2.0000e-03 eta: 14:57:44 time: 0.9054 data_time: 0.0223 memory: 11089 grad_norm: 5.1191 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2457 loss: 1.2457 2022/08/03 22:49:47 - mmengine - INFO - Epoch(train) [119][1080/1879] lr: 2.0000e-03 eta: 14:57:25 time: 0.9025 data_time: 0.0268 memory: 11089 grad_norm: 5.1863 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2147 loss: 1.2147 2022/08/03 22:50:06 - mmengine - INFO - Epoch(train) [119][1100/1879] lr: 2.0000e-03 eta: 14:57:07 time: 0.9269 data_time: 0.0279 memory: 11089 grad_norm: 5.3047 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4972 loss: 1.4972 2022/08/03 22:50:24 - mmengine - INFO - Epoch(train) [119][1120/1879] lr: 2.0000e-03 eta: 14:56:49 time: 0.9005 data_time: 0.0290 memory: 11089 grad_norm: 5.0332 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0921 loss: 1.0921 2022/08/03 22:50:42 - mmengine - INFO - Epoch(train) [119][1140/1879] lr: 2.0000e-03 eta: 14:56:31 time: 0.8965 data_time: 0.0278 memory: 11089 grad_norm: 5.2631 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1892 loss: 1.1892 2022/08/03 22:51:00 - mmengine - INFO - Epoch(train) [119][1160/1879] lr: 2.0000e-03 eta: 14:56:12 time: 0.9217 data_time: 0.0313 memory: 11089 grad_norm: 5.2625 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.4752 loss: 1.4752 2022/08/03 22:51:18 - mmengine - INFO - Epoch(train) [119][1180/1879] lr: 2.0000e-03 eta: 14:55:54 time: 0.9092 data_time: 0.0213 memory: 11089 grad_norm: 5.1545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3053 loss: 1.3053 2022/08/03 22:51:37 - mmengine - INFO - Epoch(train) [119][1200/1879] lr: 2.0000e-03 eta: 14:55:36 time: 0.9177 data_time: 0.0308 memory: 11089 grad_norm: 4.9901 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2707 loss: 1.2707 2022/08/03 22:51:54 - mmengine - INFO - Epoch(train) [119][1220/1879] lr: 2.0000e-03 eta: 14:55:17 time: 0.8776 data_time: 0.0220 memory: 11089 grad_norm: 5.2692 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2273 loss: 1.2273 2022/08/03 22:52:13 - mmengine - INFO - Epoch(train) [119][1240/1879] lr: 2.0000e-03 eta: 14:54:59 time: 0.9144 data_time: 0.0258 memory: 11089 grad_norm: 5.2426 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5539 loss: 1.5539 2022/08/03 22:52:31 - mmengine - INFO - Epoch(train) [119][1260/1879] lr: 2.0000e-03 eta: 14:54:41 time: 0.9143 data_time: 0.0294 memory: 11089 grad_norm: 5.1512 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3153 loss: 1.3153 2022/08/03 22:52:47 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 22:52:49 - mmengine - INFO - Epoch(train) [119][1280/1879] lr: 2.0000e-03 eta: 14:54:23 time: 0.9106 data_time: 0.0321 memory: 11089 grad_norm: 5.0845 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4579 loss: 1.4579 2022/08/03 22:53:07 - mmengine - INFO - Epoch(train) [119][1300/1879] lr: 2.0000e-03 eta: 14:54:04 time: 0.9082 data_time: 0.0302 memory: 11089 grad_norm: 5.0876 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1580 loss: 1.1580 2022/08/03 22:53:26 - mmengine - INFO - Epoch(train) [119][1320/1879] lr: 2.0000e-03 eta: 14:53:46 time: 0.9346 data_time: 0.0360 memory: 11089 grad_norm: 5.2115 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2112 loss: 1.2112 2022/08/03 22:53:44 - mmengine - INFO - Epoch(train) [119][1340/1879] lr: 2.0000e-03 eta: 14:53:28 time: 0.9125 data_time: 0.0288 memory: 11089 grad_norm: 5.1233 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1656 loss: 1.1656 2022/08/03 22:54:02 - mmengine - INFO - Epoch(train) [119][1360/1879] lr: 2.0000e-03 eta: 14:53:10 time: 0.8982 data_time: 0.0235 memory: 11089 grad_norm: 5.0314 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4865 loss: 1.4865 2022/08/03 22:54:20 - mmengine - INFO - Epoch(train) [119][1380/1879] lr: 2.0000e-03 eta: 14:52:52 time: 0.9114 data_time: 0.0256 memory: 11089 grad_norm: 5.0733 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2612 loss: 1.2612 2022/08/03 22:54:38 - mmengine - INFO - Epoch(train) [119][1400/1879] lr: 2.0000e-03 eta: 14:52:33 time: 0.9002 data_time: 0.0244 memory: 11089 grad_norm: 5.2308 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2245 loss: 1.2245 2022/08/03 22:54:57 - mmengine - INFO - Epoch(train) [119][1420/1879] lr: 2.0000e-03 eta: 14:52:15 time: 0.9118 data_time: 0.0254 memory: 11089 grad_norm: 5.1223 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1707 loss: 1.1707 2022/08/03 22:55:15 - mmengine - INFO - Epoch(train) [119][1440/1879] lr: 2.0000e-03 eta: 14:51:57 time: 0.9025 data_time: 0.0223 memory: 11089 grad_norm: 4.9947 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1196 loss: 1.1196 2022/08/03 22:55:33 - mmengine - INFO - Epoch(train) [119][1460/1879] lr: 2.0000e-03 eta: 14:51:39 time: 0.9159 data_time: 0.0284 memory: 11089 grad_norm: 4.9919 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2712 loss: 1.2712 2022/08/03 22:55:52 - mmengine - INFO - Epoch(train) [119][1480/1879] lr: 2.0000e-03 eta: 14:51:20 time: 0.9359 data_time: 0.0361 memory: 11089 grad_norm: 5.2645 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2077 loss: 1.2077 2022/08/03 22:56:10 - mmengine - INFO - Epoch(train) [119][1500/1879] lr: 2.0000e-03 eta: 14:51:02 time: 0.9163 data_time: 0.0314 memory: 11089 grad_norm: 5.0299 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3557 loss: 1.3557 2022/08/03 22:56:29 - mmengine - INFO - Epoch(train) [119][1520/1879] lr: 2.0000e-03 eta: 14:50:44 time: 0.9235 data_time: 0.0312 memory: 11089 grad_norm: 5.1610 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2524 loss: 1.2524 2022/08/03 22:56:47 - mmengine - INFO - Epoch(train) [119][1540/1879] lr: 2.0000e-03 eta: 14:50:26 time: 0.9188 data_time: 0.0244 memory: 11089 grad_norm: 5.1064 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2765 loss: 1.2765 2022/08/03 22:57:06 - mmengine - INFO - Epoch(train) [119][1560/1879] lr: 2.0000e-03 eta: 14:50:08 time: 0.9293 data_time: 0.0278 memory: 11089 grad_norm: 5.1646 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3928 loss: 1.3928 2022/08/03 22:57:24 - mmengine - INFO - Epoch(train) [119][1580/1879] lr: 2.0000e-03 eta: 14:49:49 time: 0.9132 data_time: 0.0355 memory: 11089 grad_norm: 5.0779 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4615 loss: 1.4615 2022/08/03 22:57:42 - mmengine - INFO - Epoch(train) [119][1600/1879] lr: 2.0000e-03 eta: 14:49:31 time: 0.9152 data_time: 0.0330 memory: 11089 grad_norm: 5.2406 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3630 loss: 1.3630 2022/08/03 22:58:00 - mmengine - INFO - Epoch(train) [119][1620/1879] lr: 2.0000e-03 eta: 14:49:13 time: 0.9191 data_time: 0.0268 memory: 11089 grad_norm: 5.2469 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2876 loss: 1.2876 2022/08/03 22:58:19 - mmengine - INFO - Epoch(train) [119][1640/1879] lr: 2.0000e-03 eta: 14:48:55 time: 0.9148 data_time: 0.0336 memory: 11089 grad_norm: 5.1990 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2269 loss: 1.2269 2022/08/03 22:58:37 - mmengine - INFO - Epoch(train) [119][1660/1879] lr: 2.0000e-03 eta: 14:48:37 time: 0.9294 data_time: 0.0260 memory: 11089 grad_norm: 5.2510 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5235 loss: 1.5235 2022/08/03 22:58:56 - mmengine - INFO - Epoch(train) [119][1680/1879] lr: 2.0000e-03 eta: 14:48:19 time: 0.9240 data_time: 0.0299 memory: 11089 grad_norm: 5.1634 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4522 loss: 1.4522 2022/08/03 22:59:14 - mmengine - INFO - Epoch(train) [119][1700/1879] lr: 2.0000e-03 eta: 14:48:00 time: 0.9052 data_time: 0.0332 memory: 11089 grad_norm: 5.1238 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4473 loss: 1.4473 2022/08/03 22:59:33 - mmengine - INFO - Epoch(train) [119][1720/1879] lr: 2.0000e-03 eta: 14:47:42 time: 0.9337 data_time: 0.0360 memory: 11089 grad_norm: 5.2588 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3534 loss: 1.3534 2022/08/03 22:59:51 - mmengine - INFO - Epoch(train) [119][1740/1879] lr: 2.0000e-03 eta: 14:47:24 time: 0.9105 data_time: 0.0217 memory: 11089 grad_norm: 5.1876 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1971 loss: 1.1971 2022/08/03 23:00:09 - mmengine - INFO - Epoch(train) [119][1760/1879] lr: 2.0000e-03 eta: 14:47:06 time: 0.9185 data_time: 0.0272 memory: 11089 grad_norm: 5.1923 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2862 loss: 1.2862 2022/08/03 23:00:27 - mmengine - INFO - Epoch(train) [119][1780/1879] lr: 2.0000e-03 eta: 14:46:47 time: 0.8987 data_time: 0.0232 memory: 11089 grad_norm: 5.1225 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3206 loss: 1.3206 2022/08/03 23:00:46 - mmengine - INFO - Epoch(train) [119][1800/1879] lr: 2.0000e-03 eta: 14:46:29 time: 0.9163 data_time: 0.0300 memory: 11089 grad_norm: 5.1741 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3619 loss: 1.3619 2022/08/03 23:01:04 - mmengine - INFO - Epoch(train) [119][1820/1879] lr: 2.0000e-03 eta: 14:46:11 time: 0.9106 data_time: 0.0387 memory: 11089 grad_norm: 5.2416 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3129 loss: 1.3129 2022/08/03 23:01:22 - mmengine - INFO - Epoch(train) [119][1840/1879] lr: 2.0000e-03 eta: 14:45:53 time: 0.9085 data_time: 0.0256 memory: 11089 grad_norm: 5.1287 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.4914 loss: 1.4914 2022/08/03 23:01:40 - mmengine - INFO - Epoch(train) [119][1860/1879] lr: 2.0000e-03 eta: 14:45:34 time: 0.9013 data_time: 0.0237 memory: 11089 grad_norm: 5.0406 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3106 loss: 1.3106 2022/08/03 23:01:58 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 23:01:58 - mmengine - INFO - Epoch(train) [119][1879/1879] lr: 2.0000e-03 eta: 14:45:34 time: 0.9346 data_time: 0.0358 memory: 11089 grad_norm: 5.1635 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.1916 loss: 1.1916 2022/08/03 23:02:18 - mmengine - INFO - Epoch(train) [120][20/1879] lr: 2.0000e-03 eta: 14:44:55 time: 0.9931 data_time: 0.1361 memory: 11089 grad_norm: 5.0170 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4090 loss: 1.4090 2022/08/03 23:02:35 - mmengine - INFO - Epoch(train) [120][40/1879] lr: 2.0000e-03 eta: 14:44:36 time: 0.8779 data_time: 0.0256 memory: 11089 grad_norm: 5.1602 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2898 loss: 1.2898 2022/08/03 23:02:54 - mmengine - INFO - Epoch(train) [120][60/1879] lr: 2.0000e-03 eta: 14:44:18 time: 0.9132 data_time: 0.0322 memory: 11089 grad_norm: 5.1233 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3739 loss: 1.3739 2022/08/03 23:03:12 - mmengine - INFO - Epoch(train) [120][80/1879] lr: 2.0000e-03 eta: 14:44:00 time: 0.9142 data_time: 0.0226 memory: 11089 grad_norm: 5.0654 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3556 loss: 1.3556 2022/08/03 23:03:31 - mmengine - INFO - Epoch(train) [120][100/1879] lr: 2.0000e-03 eta: 14:43:42 time: 0.9345 data_time: 0.0378 memory: 11089 grad_norm: 5.1604 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2094 loss: 1.2094 2022/08/03 23:03:49 - mmengine - INFO - Epoch(train) [120][120/1879] lr: 2.0000e-03 eta: 14:43:24 time: 0.9273 data_time: 0.0280 memory: 11089 grad_norm: 4.9207 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1694 loss: 1.1694 2022/08/03 23:04:08 - mmengine - INFO - Epoch(train) [120][140/1879] lr: 2.0000e-03 eta: 14:43:05 time: 0.9193 data_time: 0.0315 memory: 11089 grad_norm: 5.0906 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2255 loss: 1.2255 2022/08/03 23:04:26 - mmengine - INFO - Epoch(train) [120][160/1879] lr: 2.0000e-03 eta: 14:42:47 time: 0.9196 data_time: 0.0245 memory: 11089 grad_norm: 5.0599 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2987 loss: 1.2987 2022/08/03 23:04:44 - mmengine - INFO - Epoch(train) [120][180/1879] lr: 2.0000e-03 eta: 14:42:29 time: 0.9139 data_time: 0.0298 memory: 11089 grad_norm: 5.1174 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2429 loss: 1.2429 2022/08/03 23:05:03 - mmengine - INFO - Epoch(train) [120][200/1879] lr: 2.0000e-03 eta: 14:42:11 time: 0.9181 data_time: 0.0269 memory: 11089 grad_norm: 5.1542 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3892 loss: 1.3892 2022/08/03 23:05:21 - mmengine - INFO - Epoch(train) [120][220/1879] lr: 2.0000e-03 eta: 14:41:53 time: 0.9385 data_time: 0.0313 memory: 11089 grad_norm: 5.1135 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3346 loss: 1.3346 2022/08/03 23:05:40 - mmengine - INFO - Epoch(train) [120][240/1879] lr: 2.0000e-03 eta: 14:41:34 time: 0.9137 data_time: 0.0263 memory: 11089 grad_norm: 5.1942 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3692 loss: 1.3692 2022/08/03 23:05:58 - mmengine - INFO - Epoch(train) [120][260/1879] lr: 2.0000e-03 eta: 14:41:16 time: 0.9231 data_time: 0.0283 memory: 11089 grad_norm: 5.1605 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3911 loss: 1.3911 2022/08/03 23:06:16 - mmengine - INFO - Epoch(train) [120][280/1879] lr: 2.0000e-03 eta: 14:40:58 time: 0.9013 data_time: 0.0269 memory: 11089 grad_norm: 5.1602 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2658 loss: 1.2658 2022/08/03 23:06:34 - mmengine - INFO - Epoch(train) [120][300/1879] lr: 2.0000e-03 eta: 14:40:40 time: 0.9034 data_time: 0.0253 memory: 11089 grad_norm: 5.1907 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4692 loss: 1.4692 2022/08/03 23:06:53 - mmengine - INFO - Epoch(train) [120][320/1879] lr: 2.0000e-03 eta: 14:40:21 time: 0.9244 data_time: 0.0264 memory: 11089 grad_norm: 5.1225 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3283 loss: 1.3283 2022/08/03 23:07:11 - mmengine - INFO - Epoch(train) [120][340/1879] lr: 2.0000e-03 eta: 14:40:03 time: 0.9245 data_time: 0.0275 memory: 11089 grad_norm: 5.2169 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2772 loss: 1.2772 2022/08/03 23:07:30 - mmengine - INFO - Epoch(train) [120][360/1879] lr: 2.0000e-03 eta: 14:39:45 time: 0.9229 data_time: 0.0322 memory: 11089 grad_norm: 5.0570 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2027 loss: 1.2027 2022/08/03 23:07:48 - mmengine - INFO - Epoch(train) [120][380/1879] lr: 2.0000e-03 eta: 14:39:27 time: 0.9311 data_time: 0.0289 memory: 11089 grad_norm: 4.9421 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2324 loss: 1.2324 2022/08/03 23:08:06 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 23:08:07 - mmengine - INFO - Epoch(train) [120][400/1879] lr: 2.0000e-03 eta: 14:39:09 time: 0.9182 data_time: 0.0299 memory: 11089 grad_norm: 5.0358 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3527 loss: 1.3527 2022/08/03 23:08:25 - mmengine - INFO - Epoch(train) [120][420/1879] lr: 2.0000e-03 eta: 14:38:51 time: 0.9124 data_time: 0.0280 memory: 11089 grad_norm: 5.1964 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3646 loss: 1.3646 2022/08/03 23:08:43 - mmengine - INFO - Epoch(train) [120][440/1879] lr: 2.0000e-03 eta: 14:38:32 time: 0.9162 data_time: 0.0257 memory: 11089 grad_norm: 5.1820 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.3270 loss: 1.3270 2022/08/03 23:09:02 - mmengine - INFO - Epoch(train) [120][460/1879] lr: 2.0000e-03 eta: 14:38:14 time: 0.9180 data_time: 0.0236 memory: 11089 grad_norm: 4.9813 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2625 loss: 1.2625 2022/08/03 23:09:20 - mmengine - INFO - Epoch(train) [120][480/1879] lr: 2.0000e-03 eta: 14:37:56 time: 0.9132 data_time: 0.0304 memory: 11089 grad_norm: 5.0450 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3111 loss: 1.3111 2022/08/03 23:09:38 - mmengine - INFO - Epoch(train) [120][500/1879] lr: 2.0000e-03 eta: 14:37:38 time: 0.9019 data_time: 0.0251 memory: 11089 grad_norm: 4.9219 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4012 loss: 1.4012 2022/08/03 23:09:56 - mmengine - INFO - Epoch(train) [120][520/1879] lr: 2.0000e-03 eta: 14:37:19 time: 0.9124 data_time: 0.0284 memory: 11089 grad_norm: 5.0179 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3347 loss: 1.3347 2022/08/03 23:10:14 - mmengine - INFO - Epoch(train) [120][540/1879] lr: 2.0000e-03 eta: 14:37:01 time: 0.8987 data_time: 0.0269 memory: 11089 grad_norm: 5.0880 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0486 loss: 1.0486 2022/08/03 23:10:33 - mmengine - INFO - Epoch(train) [120][560/1879] lr: 2.0000e-03 eta: 14:36:43 time: 0.9218 data_time: 0.0267 memory: 11089 grad_norm: 5.0915 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4792 loss: 1.4792 2022/08/03 23:10:51 - mmengine - INFO - Epoch(train) [120][580/1879] lr: 2.0000e-03 eta: 14:36:25 time: 0.9332 data_time: 0.0314 memory: 11089 grad_norm: 5.0751 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1206 loss: 1.1206 2022/08/03 23:11:10 - mmengine - INFO - Epoch(train) [120][600/1879] lr: 2.0000e-03 eta: 14:36:07 time: 0.9203 data_time: 0.0242 memory: 11089 grad_norm: 5.1448 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1736 loss: 1.1736 2022/08/03 23:11:28 - mmengine - INFO - Epoch(train) [120][620/1879] lr: 2.0000e-03 eta: 14:35:48 time: 0.9325 data_time: 0.0353 memory: 11089 grad_norm: 5.1818 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4555 loss: 1.4555 2022/08/03 23:11:47 - mmengine - INFO - Epoch(train) [120][640/1879] lr: 2.0000e-03 eta: 14:35:30 time: 0.9309 data_time: 0.0235 memory: 11089 grad_norm: 5.2432 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4036 loss: 1.4036 2022/08/03 23:12:06 - mmengine - INFO - Epoch(train) [120][660/1879] lr: 2.0000e-03 eta: 14:35:12 time: 0.9290 data_time: 0.0288 memory: 11089 grad_norm: 5.1910 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3736 loss: 1.3736 2022/08/03 23:12:24 - mmengine - INFO - Epoch(train) [120][680/1879] lr: 2.0000e-03 eta: 14:34:54 time: 0.9191 data_time: 0.0257 memory: 11089 grad_norm: 5.2499 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2935 loss: 1.2935 2022/08/03 23:12:42 - mmengine - INFO - Epoch(train) [120][700/1879] lr: 2.0000e-03 eta: 14:34:36 time: 0.9010 data_time: 0.0247 memory: 11089 grad_norm: 5.1786 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4125 loss: 1.4125 2022/08/03 23:13:00 - mmengine - INFO - Epoch(train) [120][720/1879] lr: 2.0000e-03 eta: 14:34:17 time: 0.9162 data_time: 0.0284 memory: 11089 grad_norm: 5.1103 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3839 loss: 1.3839 2022/08/03 23:13:19 - mmengine - INFO - Epoch(train) [120][740/1879] lr: 2.0000e-03 eta: 14:33:59 time: 0.9316 data_time: 0.0231 memory: 11089 grad_norm: 5.0383 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2450 loss: 1.2450 2022/08/03 23:13:37 - mmengine - INFO - Epoch(train) [120][760/1879] lr: 2.0000e-03 eta: 14:33:41 time: 0.9127 data_time: 0.0272 memory: 11089 grad_norm: 5.2095 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2847 loss: 1.2847 2022/08/03 23:13:55 - mmengine - INFO - Epoch(train) [120][780/1879] lr: 2.0000e-03 eta: 14:33:23 time: 0.9000 data_time: 0.0273 memory: 11089 grad_norm: 5.2749 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4722 loss: 1.4722 2022/08/03 23:14:13 - mmengine - INFO - Epoch(train) [120][800/1879] lr: 2.0000e-03 eta: 14:33:05 time: 0.9051 data_time: 0.0234 memory: 11089 grad_norm: 5.2277 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3977 loss: 1.3977 2022/08/03 23:14:32 - mmengine - INFO - Epoch(train) [120][820/1879] lr: 2.0000e-03 eta: 14:32:46 time: 0.9142 data_time: 0.0321 memory: 11089 grad_norm: 5.2361 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2077 loss: 1.2077 2022/08/03 23:14:49 - mmengine - INFO - Epoch(train) [120][840/1879] lr: 2.0000e-03 eta: 14:32:28 time: 0.8830 data_time: 0.0225 memory: 11089 grad_norm: 5.2805 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1688 loss: 1.1688 2022/08/03 23:15:08 - mmengine - INFO - Epoch(train) [120][860/1879] lr: 2.0000e-03 eta: 14:32:10 time: 0.9249 data_time: 0.0305 memory: 11089 grad_norm: 5.1283 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3667 loss: 1.3667 2022/08/03 23:15:26 - mmengine - INFO - Epoch(train) [120][880/1879] lr: 2.0000e-03 eta: 14:31:51 time: 0.8932 data_time: 0.0243 memory: 11089 grad_norm: 4.9987 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2978 loss: 1.2978 2022/08/03 23:15:44 - mmengine - INFO - Epoch(train) [120][900/1879] lr: 2.0000e-03 eta: 14:31:33 time: 0.9119 data_time: 0.0240 memory: 11089 grad_norm: 5.1636 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.3136 loss: 1.3136 2022/08/03 23:16:02 - mmengine - INFO - Epoch(train) [120][920/1879] lr: 2.0000e-03 eta: 14:31:15 time: 0.9124 data_time: 0.0277 memory: 11089 grad_norm: 5.1699 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3458 loss: 1.3458 2022/08/03 23:16:20 - mmengine - INFO - Epoch(train) [120][940/1879] lr: 2.0000e-03 eta: 14:30:57 time: 0.9107 data_time: 0.0263 memory: 11089 grad_norm: 5.1830 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1199 loss: 1.1199 2022/08/03 23:16:39 - mmengine - INFO - Epoch(train) [120][960/1879] lr: 2.0000e-03 eta: 14:30:38 time: 0.9185 data_time: 0.0296 memory: 11089 grad_norm: 5.1547 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.3845 loss: 1.3845 2022/08/03 23:16:57 - mmengine - INFO - Epoch(train) [120][980/1879] lr: 2.0000e-03 eta: 14:30:20 time: 0.9017 data_time: 0.0283 memory: 11089 grad_norm: 5.2616 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2255 loss: 1.2255 2022/08/03 23:17:15 - mmengine - INFO - Epoch(train) [120][1000/1879] lr: 2.0000e-03 eta: 14:30:02 time: 0.9298 data_time: 0.0292 memory: 11089 grad_norm: 5.0101 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1475 loss: 1.1475 2022/08/03 23:17:33 - mmengine - INFO - Epoch(train) [120][1020/1879] lr: 2.0000e-03 eta: 14:29:44 time: 0.9006 data_time: 0.0260 memory: 11089 grad_norm: 5.2364 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.4366 loss: 1.4366 2022/08/03 23:17:52 - mmengine - INFO - Epoch(train) [120][1040/1879] lr: 2.0000e-03 eta: 14:29:26 time: 0.9322 data_time: 0.0308 memory: 11089 grad_norm: 5.2202 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2748 loss: 1.2748 2022/08/03 23:18:11 - mmengine - INFO - Epoch(train) [120][1060/1879] lr: 2.0000e-03 eta: 14:29:07 time: 0.9318 data_time: 0.0338 memory: 11089 grad_norm: 5.0635 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1117 loss: 1.1117 2022/08/03 23:18:30 - mmengine - INFO - Epoch(train) [120][1080/1879] lr: 2.0000e-03 eta: 14:28:49 time: 0.9391 data_time: 0.0275 memory: 11089 grad_norm: 5.1642 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3815 loss: 1.3815 2022/08/03 23:18:48 - mmengine - INFO - Epoch(train) [120][1100/1879] lr: 2.0000e-03 eta: 14:28:31 time: 0.9222 data_time: 0.0324 memory: 11089 grad_norm: 5.1437 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4437 loss: 1.4437 2022/08/03 23:19:06 - mmengine - INFO - Epoch(train) [120][1120/1879] lr: 2.0000e-03 eta: 14:28:13 time: 0.9180 data_time: 0.0256 memory: 11089 grad_norm: 5.1091 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2987 loss: 1.2987 2022/08/03 23:19:24 - mmengine - INFO - Epoch(train) [120][1140/1879] lr: 2.0000e-03 eta: 14:27:55 time: 0.9007 data_time: 0.0253 memory: 11089 grad_norm: 5.1114 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1900 loss: 1.1900 2022/08/03 23:19:43 - mmengine - INFO - Epoch(train) [120][1160/1879] lr: 2.0000e-03 eta: 14:27:36 time: 0.9179 data_time: 0.0226 memory: 11089 grad_norm: 5.1873 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2717 loss: 1.2717 2022/08/03 23:20:02 - mmengine - INFO - Epoch(train) [120][1180/1879] lr: 2.0000e-03 eta: 14:27:18 time: 0.9428 data_time: 0.0270 memory: 11089 grad_norm: 5.2262 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3066 loss: 1.3066 2022/08/03 23:20:20 - mmengine - INFO - Epoch(train) [120][1200/1879] lr: 2.0000e-03 eta: 14:27:00 time: 0.9234 data_time: 0.0294 memory: 11089 grad_norm: 5.2901 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4571 loss: 1.4571 2022/08/03 23:20:39 - mmengine - INFO - Epoch(train) [120][1220/1879] lr: 2.0000e-03 eta: 14:26:42 time: 0.9248 data_time: 0.0329 memory: 11089 grad_norm: 5.2020 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2468 loss: 1.2468 2022/08/03 23:20:57 - mmengine - INFO - Epoch(train) [120][1240/1879] lr: 2.0000e-03 eta: 14:26:24 time: 0.9174 data_time: 0.0300 memory: 11089 grad_norm: 5.2320 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3441 loss: 1.3441 2022/08/03 23:21:15 - mmengine - INFO - Epoch(train) [120][1260/1879] lr: 2.0000e-03 eta: 14:26:06 time: 0.9165 data_time: 0.0335 memory: 11089 grad_norm: 5.2667 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1705 loss: 1.1705 2022/08/03 23:21:34 - mmengine - INFO - Epoch(train) [120][1280/1879] lr: 2.0000e-03 eta: 14:25:47 time: 0.9164 data_time: 0.0224 memory: 11089 grad_norm: 5.2205 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2932 loss: 1.2932 2022/08/03 23:21:52 - mmengine - INFO - Epoch(train) [120][1300/1879] lr: 2.0000e-03 eta: 14:25:29 time: 0.9176 data_time: 0.0287 memory: 11089 grad_norm: 5.2962 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2460 loss: 1.2460 2022/08/03 23:22:10 - mmengine - INFO - Epoch(train) [120][1320/1879] lr: 2.0000e-03 eta: 14:25:11 time: 0.9094 data_time: 0.0233 memory: 11089 grad_norm: 5.0276 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3329 loss: 1.3329 2022/08/03 23:22:28 - mmengine - INFO - Epoch(train) [120][1340/1879] lr: 2.0000e-03 eta: 14:24:53 time: 0.9098 data_time: 0.0284 memory: 11089 grad_norm: 5.2418 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2066 loss: 1.2066 2022/08/03 23:22:46 - mmengine - INFO - Epoch(train) [120][1360/1879] lr: 2.0000e-03 eta: 14:24:34 time: 0.9056 data_time: 0.0170 memory: 11089 grad_norm: 5.1177 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3165 loss: 1.3165 2022/08/03 23:23:05 - mmengine - INFO - Epoch(train) [120][1380/1879] lr: 2.0000e-03 eta: 14:24:16 time: 0.9297 data_time: 0.0303 memory: 11089 grad_norm: 5.3458 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5507 loss: 1.5507 2022/08/03 23:23:22 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 23:23:23 - mmengine - INFO - Epoch(train) [120][1400/1879] lr: 2.0000e-03 eta: 14:23:58 time: 0.9110 data_time: 0.0232 memory: 11089 grad_norm: 5.2736 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3358 loss: 1.3358 2022/08/03 23:23:42 - mmengine - INFO - Epoch(train) [120][1420/1879] lr: 2.0000e-03 eta: 14:23:40 time: 0.9232 data_time: 0.0289 memory: 11089 grad_norm: 5.2459 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2613 loss: 1.2613 2022/08/03 23:24:00 - mmengine - INFO - Epoch(train) [120][1440/1879] lr: 2.0000e-03 eta: 14:23:22 time: 0.9044 data_time: 0.0251 memory: 11089 grad_norm: 5.3053 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3758 loss: 1.3758 2022/08/03 23:24:18 - mmengine - INFO - Epoch(train) [120][1460/1879] lr: 2.0000e-03 eta: 14:23:03 time: 0.9063 data_time: 0.0230 memory: 11089 grad_norm: 5.1797 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3281 loss: 1.3281 2022/08/03 23:24:36 - mmengine - INFO - Epoch(train) [120][1480/1879] lr: 2.0000e-03 eta: 14:22:45 time: 0.9033 data_time: 0.0302 memory: 11089 grad_norm: 5.1824 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4176 loss: 1.4176 2022/08/03 23:24:54 - mmengine - INFO - Epoch(train) [120][1500/1879] lr: 2.0000e-03 eta: 14:22:27 time: 0.9006 data_time: 0.0282 memory: 11089 grad_norm: 5.2214 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3108 loss: 1.3108 2022/08/03 23:25:12 - mmengine - INFO - Epoch(train) [120][1520/1879] lr: 2.0000e-03 eta: 14:22:08 time: 0.9040 data_time: 0.0237 memory: 11089 grad_norm: 5.1805 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4096 loss: 1.4096 2022/08/03 23:25:30 - mmengine - INFO - Epoch(train) [120][1540/1879] lr: 2.0000e-03 eta: 14:21:50 time: 0.9139 data_time: 0.0276 memory: 11089 grad_norm: 5.3868 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2618 loss: 1.2618 2022/08/03 23:25:49 - mmengine - INFO - Epoch(train) [120][1560/1879] lr: 2.0000e-03 eta: 14:21:32 time: 0.9131 data_time: 0.0213 memory: 11089 grad_norm: 5.1745 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2627 loss: 1.2627 2022/08/03 23:26:07 - mmengine - INFO - Epoch(train) [120][1580/1879] lr: 2.0000e-03 eta: 14:21:14 time: 0.9206 data_time: 0.0262 memory: 11089 grad_norm: 5.2523 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2685 loss: 1.2685 2022/08/03 23:26:26 - mmengine - INFO - Epoch(train) [120][1600/1879] lr: 2.0000e-03 eta: 14:20:56 time: 0.9216 data_time: 0.0189 memory: 11089 grad_norm: 5.1947 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3195 loss: 1.3195 2022/08/03 23:26:44 - mmengine - INFO - Epoch(train) [120][1620/1879] lr: 2.0000e-03 eta: 14:20:38 time: 0.9321 data_time: 0.0355 memory: 11089 grad_norm: 5.3420 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3414 loss: 1.3414 2022/08/03 23:27:03 - mmengine - INFO - Epoch(train) [120][1640/1879] lr: 2.0000e-03 eta: 14:20:19 time: 0.9153 data_time: 0.0320 memory: 11089 grad_norm: 5.1363 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1982 loss: 1.1982 2022/08/03 23:27:21 - mmengine - INFO - Epoch(train) [120][1660/1879] lr: 2.0000e-03 eta: 14:20:01 time: 0.9066 data_time: 0.0233 memory: 11089 grad_norm: 5.1312 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2550 loss: 1.2550 2022/08/03 23:27:39 - mmengine - INFO - Epoch(train) [120][1680/1879] lr: 2.0000e-03 eta: 14:19:43 time: 0.9099 data_time: 0.0295 memory: 11089 grad_norm: 5.2650 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2507 loss: 1.2507 2022/08/03 23:27:57 - mmengine - INFO - Epoch(train) [120][1700/1879] lr: 2.0000e-03 eta: 14:19:25 time: 0.9121 data_time: 0.0264 memory: 11089 grad_norm: 5.3624 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1562 loss: 1.1562 2022/08/03 23:28:16 - mmengine - INFO - Epoch(train) [120][1720/1879] lr: 2.0000e-03 eta: 14:19:06 time: 0.9229 data_time: 0.0281 memory: 11089 grad_norm: 5.4058 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4219 loss: 1.4219 2022/08/03 23:28:34 - mmengine - INFO - Epoch(train) [120][1740/1879] lr: 2.0000e-03 eta: 14:18:48 time: 0.9107 data_time: 0.0201 memory: 11089 grad_norm: 5.2285 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2680 loss: 1.2680 2022/08/03 23:28:52 - mmengine - INFO - Epoch(train) [120][1760/1879] lr: 2.0000e-03 eta: 14:18:30 time: 0.9149 data_time: 0.0315 memory: 11089 grad_norm: 5.1110 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3920 loss: 1.3920 2022/08/03 23:29:10 - mmengine - INFO - Epoch(train) [120][1780/1879] lr: 2.0000e-03 eta: 14:18:12 time: 0.9065 data_time: 0.0228 memory: 11089 grad_norm: 5.1291 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2235 loss: 1.2235 2022/08/03 23:29:28 - mmengine - INFO - Epoch(train) [120][1800/1879] lr: 2.0000e-03 eta: 14:17:53 time: 0.9027 data_time: 0.0214 memory: 11089 grad_norm: 5.1887 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3035 loss: 1.3035 2022/08/03 23:29:47 - mmengine - INFO - Epoch(train) [120][1820/1879] lr: 2.0000e-03 eta: 14:17:35 time: 0.9122 data_time: 0.0269 memory: 11089 grad_norm: 5.1644 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3322 loss: 1.3322 2022/08/03 23:30:05 - mmengine - INFO - Epoch(train) [120][1840/1879] lr: 2.0000e-03 eta: 14:17:17 time: 0.9114 data_time: 0.0271 memory: 11089 grad_norm: 5.2174 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2648 loss: 1.2648 2022/08/03 23:30:23 - mmengine - INFO - Epoch(train) [120][1860/1879] lr: 2.0000e-03 eta: 14:16:59 time: 0.9105 data_time: 0.0297 memory: 11089 grad_norm: 5.2873 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3456 loss: 1.3456 2022/08/03 23:30:40 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 23:30:40 - mmengine - INFO - Epoch(train) [120][1879/1879] lr: 2.0000e-03 eta: 14:16:59 time: 0.8894 data_time: 0.0258 memory: 11089 grad_norm: 5.1849 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.1862 loss: 1.1862 2022/08/03 23:30:40 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/08/03 23:30:51 - mmengine - INFO - Epoch(val) [120][20/155] eta: 0:00:58 time: 0.4318 data_time: 0.1147 memory: 1950 2022/08/03 23:30:59 - mmengine - INFO - Epoch(val) [120][40/155] eta: 0:00:41 time: 0.3568 data_time: 0.0391 memory: 1950 2022/08/03 23:31:05 - mmengine - INFO - Epoch(val) [120][60/155] eta: 0:00:31 time: 0.3296 data_time: 0.0133 memory: 1950 2022/08/03 23:31:12 - mmengine - INFO - Epoch(val) [120][80/155] eta: 0:00:24 time: 0.3255 data_time: 0.0115 memory: 1950 2022/08/03 23:31:18 - mmengine - INFO - Epoch(val) [120][100/155] eta: 0:00:17 time: 0.3233 data_time: 0.0115 memory: 1950 2022/08/03 23:31:25 - mmengine - INFO - Epoch(val) [120][120/155] eta: 0:00:12 time: 0.3589 data_time: 0.0108 memory: 1950 2022/08/03 23:31:33 - mmengine - INFO - Epoch(val) [120][140/155] eta: 0:00:05 time: 0.3910 data_time: 0.0111 memory: 1950 2022/08/03 23:31:40 - mmengine - INFO - Epoch(val) [120][155/155] acc/top1: 0.6871 acc/top5: 0.8787 acc/mean1: 0.6870 2022/08/03 23:32:00 - mmengine - INFO - Epoch(train) [121][20/1879] lr: 2.0000e-03 eta: 14:16:19 time: 0.9911 data_time: 0.1273 memory: 11089 grad_norm: 5.1448 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0669 loss: 1.0669 2022/08/03 23:32:18 - mmengine - INFO - Epoch(train) [121][40/1879] lr: 2.0000e-03 eta: 14:16:01 time: 0.9039 data_time: 0.0327 memory: 11089 grad_norm: 5.1765 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0801 loss: 1.0801 2022/08/03 23:32:37 - mmengine - INFO - Epoch(train) [121][60/1879] lr: 2.0000e-03 eta: 14:15:43 time: 0.9170 data_time: 0.0252 memory: 11089 grad_norm: 5.1165 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3177 loss: 1.3177 2022/08/03 23:32:55 - mmengine - INFO - Epoch(train) [121][80/1879] lr: 2.0000e-03 eta: 14:15:24 time: 0.8989 data_time: 0.0251 memory: 11089 grad_norm: 5.2027 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4369 loss: 1.4369 2022/08/03 23:33:13 - mmengine - INFO - Epoch(train) [121][100/1879] lr: 2.0000e-03 eta: 14:15:06 time: 0.9136 data_time: 0.0306 memory: 11089 grad_norm: 5.2633 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4482 loss: 1.4482 2022/08/03 23:33:31 - mmengine - INFO - Epoch(train) [121][120/1879] lr: 2.0000e-03 eta: 14:14:48 time: 0.9099 data_time: 0.0285 memory: 11089 grad_norm: 5.1908 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2317 loss: 1.2317 2022/08/03 23:33:50 - mmengine - INFO - Epoch(train) [121][140/1879] lr: 2.0000e-03 eta: 14:14:30 time: 0.9128 data_time: 0.0279 memory: 11089 grad_norm: 5.0795 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2408 loss: 1.2408 2022/08/03 23:34:08 - mmengine - INFO - Epoch(train) [121][160/1879] lr: 2.0000e-03 eta: 14:14:11 time: 0.9020 data_time: 0.0255 memory: 11089 grad_norm: 5.1404 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3901 loss: 1.3901 2022/08/03 23:34:26 - mmengine - INFO - Epoch(train) [121][180/1879] lr: 2.0000e-03 eta: 14:13:53 time: 0.9115 data_time: 0.0264 memory: 11089 grad_norm: 5.0770 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3520 loss: 1.3520 2022/08/03 23:34:44 - mmengine - INFO - Epoch(train) [121][200/1879] lr: 2.0000e-03 eta: 14:13:35 time: 0.9197 data_time: 0.0232 memory: 11089 grad_norm: 5.1363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3376 loss: 1.3376 2022/08/03 23:35:03 - mmengine - INFO - Epoch(train) [121][220/1879] lr: 2.0000e-03 eta: 14:13:17 time: 0.9217 data_time: 0.0277 memory: 11089 grad_norm: 5.1439 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3417 loss: 1.3417 2022/08/03 23:35:21 - mmengine - INFO - Epoch(train) [121][240/1879] lr: 2.0000e-03 eta: 14:12:59 time: 0.9333 data_time: 0.0320 memory: 11089 grad_norm: 5.0381 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2582 loss: 1.2582 2022/08/03 23:35:40 - mmengine - INFO - Epoch(train) [121][260/1879] lr: 2.0000e-03 eta: 14:12:40 time: 0.9225 data_time: 0.0265 memory: 11089 grad_norm: 5.1599 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1542 loss: 1.1542 2022/08/03 23:35:58 - mmengine - INFO - Epoch(train) [121][280/1879] lr: 2.0000e-03 eta: 14:12:22 time: 0.9082 data_time: 0.0298 memory: 11089 grad_norm: 5.1539 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3586 loss: 1.3586 2022/08/03 23:36:16 - mmengine - INFO - Epoch(train) [121][300/1879] lr: 2.0000e-03 eta: 14:12:04 time: 0.9247 data_time: 0.0205 memory: 11089 grad_norm: 5.2259 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4726 loss: 1.4726 2022/08/03 23:36:35 - mmengine - INFO - Epoch(train) [121][320/1879] lr: 2.0000e-03 eta: 14:11:46 time: 0.9069 data_time: 0.0199 memory: 11089 grad_norm: 5.2330 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2818 loss: 1.2818 2022/08/03 23:36:53 - mmengine - INFO - Epoch(train) [121][340/1879] lr: 2.0000e-03 eta: 14:11:27 time: 0.9078 data_time: 0.0322 memory: 11089 grad_norm: 5.2245 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3199 loss: 1.3199 2022/08/03 23:37:11 - mmengine - INFO - Epoch(train) [121][360/1879] lr: 2.0000e-03 eta: 14:11:09 time: 0.9326 data_time: 0.0308 memory: 11089 grad_norm: 5.1791 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.3044 loss: 1.3044 2022/08/03 23:37:30 - mmengine - INFO - Epoch(train) [121][380/1879] lr: 2.0000e-03 eta: 14:10:51 time: 0.9370 data_time: 0.0231 memory: 11089 grad_norm: 5.2007 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3856 loss: 1.3856 2022/08/03 23:37:48 - mmengine - INFO - Epoch(train) [121][400/1879] lr: 2.0000e-03 eta: 14:10:33 time: 0.9045 data_time: 0.0257 memory: 11089 grad_norm: 4.9934 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2798 loss: 1.2798 2022/08/03 23:38:07 - mmengine - INFO - Epoch(train) [121][420/1879] lr: 2.0000e-03 eta: 14:10:15 time: 0.9152 data_time: 0.0285 memory: 11089 grad_norm: 5.2510 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2796 loss: 1.2796 2022/08/03 23:38:25 - mmengine - INFO - Epoch(train) [121][440/1879] lr: 2.0000e-03 eta: 14:09:57 time: 0.9195 data_time: 0.0312 memory: 11089 grad_norm: 4.9896 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2313 loss: 1.2313 2022/08/03 23:38:43 - mmengine - INFO - Epoch(train) [121][460/1879] lr: 2.0000e-03 eta: 14:09:38 time: 0.9225 data_time: 0.0274 memory: 11089 grad_norm: 5.1734 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2186 loss: 1.2186 2022/08/03 23:39:02 - mmengine - INFO - Epoch(train) [121][480/1879] lr: 2.0000e-03 eta: 14:09:20 time: 0.9137 data_time: 0.0272 memory: 11089 grad_norm: 5.1748 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3189 loss: 1.3189 2022/08/03 23:39:20 - mmengine - INFO - Epoch(train) [121][500/1879] lr: 2.0000e-03 eta: 14:09:02 time: 0.9156 data_time: 0.0328 memory: 11089 grad_norm: 5.1788 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1867 loss: 1.1867 2022/08/03 23:39:38 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 23:39:38 - mmengine - INFO - Epoch(train) [121][520/1879] lr: 2.0000e-03 eta: 14:08:44 time: 0.9205 data_time: 0.0262 memory: 11089 grad_norm: 5.3030 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2353 loss: 1.2353 2022/08/03 23:39:56 - mmengine - INFO - Epoch(train) [121][540/1879] lr: 2.0000e-03 eta: 14:08:25 time: 0.8964 data_time: 0.0238 memory: 11089 grad_norm: 5.1406 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1650 loss: 1.1650 2022/08/03 23:40:15 - mmengine - INFO - Epoch(train) [121][560/1879] lr: 2.0000e-03 eta: 14:08:07 time: 0.9337 data_time: 0.0258 memory: 11089 grad_norm: 5.2473 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2446 loss: 1.2446 2022/08/03 23:40:33 - mmengine - INFO - Epoch(train) [121][580/1879] lr: 2.0000e-03 eta: 14:07:49 time: 0.9044 data_time: 0.0255 memory: 11089 grad_norm: 5.0806 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3096 loss: 1.3096 2022/08/03 23:40:52 - mmengine - INFO - Epoch(train) [121][600/1879] lr: 2.0000e-03 eta: 14:07:31 time: 0.9431 data_time: 0.0291 memory: 11089 grad_norm: 5.2803 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2195 loss: 1.2195 2022/08/03 23:41:10 - mmengine - INFO - Epoch(train) [121][620/1879] lr: 2.0000e-03 eta: 14:07:13 time: 0.9058 data_time: 0.0216 memory: 11089 grad_norm: 5.1794 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3808 loss: 1.3808 2022/08/03 23:41:28 - mmengine - INFO - Epoch(train) [121][640/1879] lr: 2.0000e-03 eta: 14:06:54 time: 0.8959 data_time: 0.0246 memory: 11089 grad_norm: 5.2857 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4922 loss: 1.4922 2022/08/03 23:41:47 - mmengine - INFO - Epoch(train) [121][660/1879] lr: 2.0000e-03 eta: 14:06:36 time: 0.9258 data_time: 0.0265 memory: 11089 grad_norm: 5.2044 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3026 loss: 1.3026 2022/08/03 23:42:05 - mmengine - INFO - Epoch(train) [121][680/1879] lr: 2.0000e-03 eta: 14:06:18 time: 0.9145 data_time: 0.0233 memory: 11089 grad_norm: 5.3152 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2198 loss: 1.2198 2022/08/03 23:42:23 - mmengine - INFO - Epoch(train) [121][700/1879] lr: 2.0000e-03 eta: 14:06:00 time: 0.8987 data_time: 0.0306 memory: 11089 grad_norm: 5.0857 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3781 loss: 1.3781 2022/08/03 23:42:41 - mmengine - INFO - Epoch(train) [121][720/1879] lr: 2.0000e-03 eta: 14:05:41 time: 0.9205 data_time: 0.0301 memory: 11089 grad_norm: 5.1531 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3439 loss: 1.3439 2022/08/03 23:43:00 - mmengine - INFO - Epoch(train) [121][740/1879] lr: 2.0000e-03 eta: 14:05:23 time: 0.9218 data_time: 0.0281 memory: 11089 grad_norm: 5.1569 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2850 loss: 1.2850 2022/08/03 23:43:18 - mmengine - INFO - Epoch(train) [121][760/1879] lr: 2.0000e-03 eta: 14:05:05 time: 0.9199 data_time: 0.0264 memory: 11089 grad_norm: 5.0386 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2840 loss: 1.2840 2022/08/03 23:43:37 - mmengine - INFO - Epoch(train) [121][780/1879] lr: 2.0000e-03 eta: 14:04:47 time: 0.9240 data_time: 0.0268 memory: 11089 grad_norm: 5.2193 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3517 loss: 1.3517 2022/08/03 23:43:55 - mmengine - INFO - Epoch(train) [121][800/1879] lr: 2.0000e-03 eta: 14:04:29 time: 0.9094 data_time: 0.0276 memory: 11089 grad_norm: 5.0831 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3479 loss: 1.3479 2022/08/03 23:44:13 - mmengine - INFO - Epoch(train) [121][820/1879] lr: 2.0000e-03 eta: 14:04:10 time: 0.9176 data_time: 0.0309 memory: 11089 grad_norm: 5.2780 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3186 loss: 1.3186 2022/08/03 23:44:31 - mmengine - INFO - Epoch(train) [121][840/1879] lr: 2.0000e-03 eta: 14:03:52 time: 0.9030 data_time: 0.0234 memory: 11089 grad_norm: 5.1996 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2802 loss: 1.2802 2022/08/03 23:44:50 - mmengine - INFO - Epoch(train) [121][860/1879] lr: 2.0000e-03 eta: 14:03:34 time: 0.9212 data_time: 0.0294 memory: 11089 grad_norm: 5.3282 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3276 loss: 1.3276 2022/08/03 23:45:08 - mmengine - INFO - Epoch(train) [121][880/1879] lr: 2.0000e-03 eta: 14:03:16 time: 0.9353 data_time: 0.0273 memory: 11089 grad_norm: 5.4636 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2165 loss: 1.2165 2022/08/03 23:45:27 - mmengine - INFO - Epoch(train) [121][900/1879] lr: 2.0000e-03 eta: 14:02:58 time: 0.9141 data_time: 0.0295 memory: 11089 grad_norm: 5.1435 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1416 loss: 1.1416 2022/08/03 23:45:45 - mmengine - INFO - Epoch(train) [121][920/1879] lr: 2.0000e-03 eta: 14:02:39 time: 0.9218 data_time: 0.0314 memory: 11089 grad_norm: 5.1986 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2680 loss: 1.2680 2022/08/03 23:46:03 - mmengine - INFO - Epoch(train) [121][940/1879] lr: 2.0000e-03 eta: 14:02:21 time: 0.9118 data_time: 0.0295 memory: 11089 grad_norm: 5.1753 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3247 loss: 1.3247 2022/08/03 23:46:22 - mmengine - INFO - Epoch(train) [121][960/1879] lr: 2.0000e-03 eta: 14:02:03 time: 0.9425 data_time: 0.0222 memory: 11089 grad_norm: 5.0649 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0992 loss: 1.0992 2022/08/03 23:46:41 - mmengine - INFO - Epoch(train) [121][980/1879] lr: 2.0000e-03 eta: 14:01:45 time: 0.9321 data_time: 0.0306 memory: 11089 grad_norm: 5.2510 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0420 loss: 1.0420 2022/08/03 23:46:59 - mmengine - INFO - Epoch(train) [121][1000/1879] lr: 2.0000e-03 eta: 14:01:27 time: 0.9039 data_time: 0.0265 memory: 11089 grad_norm: 5.2576 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3357 loss: 1.3357 2022/08/03 23:47:17 - mmengine - INFO - Epoch(train) [121][1020/1879] lr: 2.0000e-03 eta: 14:01:09 time: 0.9229 data_time: 0.0303 memory: 11089 grad_norm: 5.1258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3172 loss: 1.3172 2022/08/03 23:47:36 - mmengine - INFO - Epoch(train) [121][1040/1879] lr: 2.0000e-03 eta: 14:00:50 time: 0.9192 data_time: 0.0273 memory: 11089 grad_norm: 4.9865 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1987 loss: 1.1987 2022/08/03 23:47:54 - mmengine - INFO - Epoch(train) [121][1060/1879] lr: 2.0000e-03 eta: 14:00:32 time: 0.9048 data_time: 0.0263 memory: 11089 grad_norm: 5.2184 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3127 loss: 1.3127 2022/08/03 23:48:12 - mmengine - INFO - Epoch(train) [121][1080/1879] lr: 2.0000e-03 eta: 14:00:14 time: 0.9268 data_time: 0.0278 memory: 11089 grad_norm: 5.1889 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1687 loss: 1.1687 2022/08/03 23:48:31 - mmengine - INFO - Epoch(train) [121][1100/1879] lr: 2.0000e-03 eta: 13:59:56 time: 0.9140 data_time: 0.0306 memory: 11089 grad_norm: 5.1347 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4384 loss: 1.4384 2022/08/03 23:48:49 - mmengine - INFO - Epoch(train) [121][1120/1879] lr: 2.0000e-03 eta: 13:59:37 time: 0.9069 data_time: 0.0323 memory: 11089 grad_norm: 5.0915 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1502 loss: 1.1502 2022/08/03 23:49:07 - mmengine - INFO - Epoch(train) [121][1140/1879] lr: 2.0000e-03 eta: 13:59:19 time: 0.9210 data_time: 0.0306 memory: 11089 grad_norm: 5.2212 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1576 loss: 1.1576 2022/08/03 23:49:26 - mmengine - INFO - Epoch(train) [121][1160/1879] lr: 2.0000e-03 eta: 13:59:01 time: 0.9465 data_time: 0.0340 memory: 11089 grad_norm: 5.2752 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2178 loss: 1.2178 2022/08/03 23:49:45 - mmengine - INFO - Epoch(train) [121][1180/1879] lr: 2.0000e-03 eta: 13:58:43 time: 0.9206 data_time: 0.0298 memory: 11089 grad_norm: 5.1614 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1811 loss: 1.1811 2022/08/03 23:50:03 - mmengine - INFO - Epoch(train) [121][1200/1879] lr: 2.0000e-03 eta: 13:58:25 time: 0.9385 data_time: 0.0287 memory: 11089 grad_norm: 5.2762 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2374 loss: 1.2374 2022/08/03 23:50:22 - mmengine - INFO - Epoch(train) [121][1220/1879] lr: 2.0000e-03 eta: 13:58:07 time: 0.9180 data_time: 0.0268 memory: 11089 grad_norm: 5.3206 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1043 loss: 1.1043 2022/08/03 23:50:40 - mmengine - INFO - Epoch(train) [121][1240/1879] lr: 2.0000e-03 eta: 13:57:48 time: 0.9214 data_time: 0.0247 memory: 11089 grad_norm: 5.3723 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2425 loss: 1.2425 2022/08/03 23:50:59 - mmengine - INFO - Epoch(train) [121][1260/1879] lr: 2.0000e-03 eta: 13:57:30 time: 0.9126 data_time: 0.0260 memory: 11089 grad_norm: 5.1496 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1826 loss: 1.1826 2022/08/03 23:51:17 - mmengine - INFO - Epoch(train) [121][1280/1879] lr: 2.0000e-03 eta: 13:57:12 time: 0.9433 data_time: 0.0291 memory: 11089 grad_norm: 5.2085 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2183 loss: 1.2183 2022/08/03 23:51:36 - mmengine - INFO - Epoch(train) [121][1300/1879] lr: 2.0000e-03 eta: 13:56:54 time: 0.9391 data_time: 0.0311 memory: 11089 grad_norm: 4.9940 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0568 loss: 1.0568 2022/08/03 23:51:55 - mmengine - INFO - Epoch(train) [121][1320/1879] lr: 2.0000e-03 eta: 13:56:36 time: 0.9304 data_time: 0.0358 memory: 11089 grad_norm: 5.0863 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3345 loss: 1.3345 2022/08/03 23:52:13 - mmengine - INFO - Epoch(train) [121][1340/1879] lr: 2.0000e-03 eta: 13:56:18 time: 0.8938 data_time: 0.0247 memory: 11089 grad_norm: 5.2345 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5566 loss: 1.5566 2022/08/03 23:52:31 - mmengine - INFO - Epoch(train) [121][1360/1879] lr: 2.0000e-03 eta: 13:55:59 time: 0.9312 data_time: 0.0291 memory: 11089 grad_norm: 5.1956 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3650 loss: 1.3650 2022/08/03 23:52:49 - mmengine - INFO - Epoch(train) [121][1380/1879] lr: 2.0000e-03 eta: 13:55:41 time: 0.9083 data_time: 0.0258 memory: 11089 grad_norm: 5.2895 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2419 loss: 1.2419 2022/08/03 23:53:08 - mmengine - INFO - Epoch(train) [121][1400/1879] lr: 2.0000e-03 eta: 13:55:23 time: 0.9162 data_time: 0.0227 memory: 11089 grad_norm: 5.1772 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2529 loss: 1.2529 2022/08/03 23:53:27 - mmengine - INFO - Epoch(train) [121][1420/1879] lr: 2.0000e-03 eta: 13:55:05 time: 0.9353 data_time: 0.0274 memory: 11089 grad_norm: 5.1900 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2456 loss: 1.2456 2022/08/03 23:53:45 - mmengine - INFO - Epoch(train) [121][1440/1879] lr: 2.0000e-03 eta: 13:54:47 time: 0.9149 data_time: 0.0244 memory: 11089 grad_norm: 5.2657 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1277 loss: 1.1277 2022/08/03 23:54:03 - mmengine - INFO - Epoch(train) [121][1460/1879] lr: 2.0000e-03 eta: 13:54:28 time: 0.9209 data_time: 0.0256 memory: 11089 grad_norm: 5.3626 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3830 loss: 1.3830 2022/08/03 23:54:22 - mmengine - INFO - Epoch(train) [121][1480/1879] lr: 2.0000e-03 eta: 13:54:10 time: 0.9248 data_time: 0.0279 memory: 11089 grad_norm: 5.2157 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1556 loss: 1.1556 2022/08/03 23:54:40 - mmengine - INFO - Epoch(train) [121][1500/1879] lr: 2.0000e-03 eta: 13:53:52 time: 0.9008 data_time: 0.0327 memory: 11089 grad_norm: 5.0795 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3740 loss: 1.3740 2022/08/03 23:54:58 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/03 23:54:58 - mmengine - INFO - Epoch(train) [121][1520/1879] lr: 2.0000e-03 eta: 13:53:34 time: 0.9123 data_time: 0.0196 memory: 11089 grad_norm: 5.2354 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2873 loss: 1.2873 2022/08/03 23:55:17 - mmengine - INFO - Epoch(train) [121][1540/1879] lr: 2.0000e-03 eta: 13:53:16 time: 0.9324 data_time: 0.0302 memory: 11089 grad_norm: 5.2100 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.2848 loss: 1.2848 2022/08/03 23:55:35 - mmengine - INFO - Epoch(train) [121][1560/1879] lr: 2.0000e-03 eta: 13:52:57 time: 0.9148 data_time: 0.0267 memory: 11089 grad_norm: 5.1892 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3945 loss: 1.3945 2022/08/03 23:55:53 - mmengine - INFO - Epoch(train) [121][1580/1879] lr: 2.0000e-03 eta: 13:52:39 time: 0.9120 data_time: 0.0253 memory: 11089 grad_norm: 5.2739 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2586 loss: 1.2586 2022/08/03 23:56:12 - mmengine - INFO - Epoch(train) [121][1600/1879] lr: 2.0000e-03 eta: 13:52:21 time: 0.9307 data_time: 0.0308 memory: 11089 grad_norm: 5.2557 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4544 loss: 1.4544 2022/08/03 23:56:30 - mmengine - INFO - Epoch(train) [121][1620/1879] lr: 2.0000e-03 eta: 13:52:03 time: 0.9017 data_time: 0.0266 memory: 11089 grad_norm: 5.1232 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3510 loss: 1.3510 2022/08/03 23:56:49 - mmengine - INFO - Epoch(train) [121][1640/1879] lr: 2.0000e-03 eta: 13:51:45 time: 0.9387 data_time: 0.0265 memory: 11089 grad_norm: 5.1638 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3548 loss: 1.3548 2022/08/03 23:57:07 - mmengine - INFO - Epoch(train) [121][1660/1879] lr: 2.0000e-03 eta: 13:51:26 time: 0.9299 data_time: 0.0378 memory: 11089 grad_norm: 5.1214 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3121 loss: 1.3121 2022/08/03 23:57:26 - mmengine - INFO - Epoch(train) [121][1680/1879] lr: 2.0000e-03 eta: 13:51:08 time: 0.9411 data_time: 0.0347 memory: 11089 grad_norm: 5.2651 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.1625 loss: 1.1625 2022/08/03 23:57:44 - mmengine - INFO - Epoch(train) [121][1700/1879] lr: 2.0000e-03 eta: 13:50:50 time: 0.9047 data_time: 0.0250 memory: 11089 grad_norm: 5.2519 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3296 loss: 1.3296 2022/08/03 23:58:03 - mmengine - INFO - Epoch(train) [121][1720/1879] lr: 2.0000e-03 eta: 13:50:32 time: 0.9328 data_time: 0.0367 memory: 11089 grad_norm: 5.1094 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4631 loss: 1.4631 2022/08/03 23:58:22 - mmengine - INFO - Epoch(train) [121][1740/1879] lr: 2.0000e-03 eta: 13:50:14 time: 0.9292 data_time: 0.0270 memory: 11089 grad_norm: 5.2633 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3480 loss: 1.3480 2022/08/03 23:58:40 - mmengine - INFO - Epoch(train) [121][1760/1879] lr: 2.0000e-03 eta: 13:49:56 time: 0.9142 data_time: 0.0299 memory: 11089 grad_norm: 5.1352 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1997 loss: 1.1997 2022/08/03 23:58:58 - mmengine - INFO - Epoch(train) [121][1780/1879] lr: 2.0000e-03 eta: 13:49:37 time: 0.9261 data_time: 0.0373 memory: 11089 grad_norm: 5.2682 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1968 loss: 1.1968 2022/08/03 23:59:17 - mmengine - INFO - Epoch(train) [121][1800/1879] lr: 2.0000e-03 eta: 13:49:19 time: 0.9251 data_time: 0.0296 memory: 11089 grad_norm: 5.1560 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3707 loss: 1.3707 2022/08/03 23:59:35 - mmengine - INFO - Epoch(train) [121][1820/1879] lr: 2.0000e-03 eta: 13:49:01 time: 0.9072 data_time: 0.0265 memory: 11089 grad_norm: 5.1931 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3670 loss: 1.3670 2022/08/03 23:59:53 - mmengine - INFO - Epoch(train) [121][1840/1879] lr: 2.0000e-03 eta: 13:48:43 time: 0.9072 data_time: 0.0304 memory: 11089 grad_norm: 5.2984 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3328 loss: 1.3328 2022/08/04 00:00:14 - mmengine - INFO - Epoch(train) [121][1860/1879] lr: 2.0000e-03 eta: 13:48:25 time: 1.0609 data_time: 0.0243 memory: 11089 grad_norm: 5.2507 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.2394 loss: 1.2394 2022/08/04 00:00:32 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 00:00:32 - mmengine - INFO - Epoch(train) [121][1879/1879] lr: 2.0000e-03 eta: 13:48:25 time: 0.9055 data_time: 0.0348 memory: 11089 grad_norm: 5.4852 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.3363 loss: 1.3363 2022/08/04 00:00:53 - mmengine - INFO - Epoch(train) [122][20/1879] lr: 2.0000e-03 eta: 13:47:46 time: 1.0597 data_time: 0.1492 memory: 11089 grad_norm: 5.0801 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1905 loss: 1.1905 2022/08/04 00:01:11 - mmengine - INFO - Epoch(train) [122][40/1879] lr: 2.0000e-03 eta: 13:47:28 time: 0.9135 data_time: 0.0271 memory: 11089 grad_norm: 5.1357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2117 loss: 1.2117 2022/08/04 00:01:30 - mmengine - INFO - Epoch(train) [122][60/1879] lr: 2.0000e-03 eta: 13:47:10 time: 0.9242 data_time: 0.0284 memory: 11089 grad_norm: 5.0428 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1975 loss: 1.1975 2022/08/04 00:01:48 - mmengine - INFO - Epoch(train) [122][80/1879] lr: 2.0000e-03 eta: 13:46:52 time: 0.9130 data_time: 0.0313 memory: 11089 grad_norm: 5.1939 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1818 loss: 1.1818 2022/08/04 00:02:07 - mmengine - INFO - Epoch(train) [122][100/1879] lr: 2.0000e-03 eta: 13:46:33 time: 0.9304 data_time: 0.0430 memory: 11089 grad_norm: 5.1646 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2149 loss: 1.2149 2022/08/04 00:02:25 - mmengine - INFO - Epoch(train) [122][120/1879] lr: 2.0000e-03 eta: 13:46:15 time: 0.9326 data_time: 0.0331 memory: 11089 grad_norm: 5.2635 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2013 loss: 1.2013 2022/08/04 00:02:44 - mmengine - INFO - Epoch(train) [122][140/1879] lr: 2.0000e-03 eta: 13:45:57 time: 0.9161 data_time: 0.0249 memory: 11089 grad_norm: 5.1743 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1338 loss: 1.1338 2022/08/04 00:03:02 - mmengine - INFO - Epoch(train) [122][160/1879] lr: 2.0000e-03 eta: 13:45:39 time: 0.9010 data_time: 0.0220 memory: 11089 grad_norm: 5.3296 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4145 loss: 1.4145 2022/08/04 00:03:20 - mmengine - INFO - Epoch(train) [122][180/1879] lr: 2.0000e-03 eta: 13:45:21 time: 0.9202 data_time: 0.0254 memory: 11089 grad_norm: 5.1919 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3597 loss: 1.3597 2022/08/04 00:03:38 - mmengine - INFO - Epoch(train) [122][200/1879] lr: 2.0000e-03 eta: 13:45:02 time: 0.9021 data_time: 0.0230 memory: 11089 grad_norm: 5.2570 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1142 loss: 1.1142 2022/08/04 00:03:56 - mmengine - INFO - Epoch(train) [122][220/1879] lr: 2.0000e-03 eta: 13:44:44 time: 0.9067 data_time: 0.0245 memory: 11089 grad_norm: 5.1145 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2186 loss: 1.2186 2022/08/04 00:04:14 - mmengine - INFO - Epoch(train) [122][240/1879] lr: 2.0000e-03 eta: 13:44:26 time: 0.9086 data_time: 0.0218 memory: 11089 grad_norm: 5.2521 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2574 loss: 1.2574 2022/08/04 00:04:33 - mmengine - INFO - Epoch(train) [122][260/1879] lr: 2.0000e-03 eta: 13:44:08 time: 0.9208 data_time: 0.0349 memory: 11089 grad_norm: 5.2793 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2693 loss: 1.2693 2022/08/04 00:04:51 - mmengine - INFO - Epoch(train) [122][280/1879] lr: 2.0000e-03 eta: 13:43:49 time: 0.9036 data_time: 0.0270 memory: 11089 grad_norm: 5.1820 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1772 loss: 1.1772 2022/08/04 00:05:09 - mmengine - INFO - Epoch(train) [122][300/1879] lr: 2.0000e-03 eta: 13:43:31 time: 0.9192 data_time: 0.0234 memory: 11089 grad_norm: 5.2266 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2157 loss: 1.2157 2022/08/04 00:05:28 - mmengine - INFO - Epoch(train) [122][320/1879] lr: 2.0000e-03 eta: 13:43:13 time: 0.9219 data_time: 0.0243 memory: 11089 grad_norm: 5.1404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2935 loss: 1.2935 2022/08/04 00:05:46 - mmengine - INFO - Epoch(train) [122][340/1879] lr: 2.0000e-03 eta: 13:42:55 time: 0.9129 data_time: 0.0255 memory: 11089 grad_norm: 5.3159 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2158 loss: 1.2158 2022/08/04 00:06:05 - mmengine - INFO - Epoch(train) [122][360/1879] lr: 2.0000e-03 eta: 13:42:37 time: 0.9315 data_time: 0.0291 memory: 11089 grad_norm: 5.3222 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4031 loss: 1.4031 2022/08/04 00:06:23 - mmengine - INFO - Epoch(train) [122][380/1879] lr: 2.0000e-03 eta: 13:42:18 time: 0.9342 data_time: 0.0329 memory: 11089 grad_norm: 5.2490 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4372 loss: 1.4372 2022/08/04 00:06:42 - mmengine - INFO - Epoch(train) [122][400/1879] lr: 2.0000e-03 eta: 13:42:00 time: 0.9113 data_time: 0.0255 memory: 11089 grad_norm: 5.3549 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3659 loss: 1.3659 2022/08/04 00:07:00 - mmengine - INFO - Epoch(train) [122][420/1879] lr: 2.0000e-03 eta: 13:41:42 time: 0.9269 data_time: 0.0315 memory: 11089 grad_norm: 5.2108 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0845 loss: 1.0845 2022/08/04 00:07:18 - mmengine - INFO - Epoch(train) [122][440/1879] lr: 2.0000e-03 eta: 13:41:24 time: 0.9108 data_time: 0.0314 memory: 11089 grad_norm: 5.3480 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2194 loss: 1.2194 2022/08/04 00:07:37 - mmengine - INFO - Epoch(train) [122][460/1879] lr: 2.0000e-03 eta: 13:41:06 time: 0.9215 data_time: 0.0286 memory: 11089 grad_norm: 5.2478 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3452 loss: 1.3452 2022/08/04 00:07:55 - mmengine - INFO - Epoch(train) [122][480/1879] lr: 2.0000e-03 eta: 13:40:47 time: 0.8988 data_time: 0.0253 memory: 11089 grad_norm: 5.2726 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5279 loss: 1.5279 2022/08/04 00:08:13 - mmengine - INFO - Epoch(train) [122][500/1879] lr: 2.0000e-03 eta: 13:40:29 time: 0.9210 data_time: 0.0291 memory: 11089 grad_norm: 5.2885 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2456 loss: 1.2456 2022/08/04 00:08:32 - mmengine - INFO - Epoch(train) [122][520/1879] lr: 2.0000e-03 eta: 13:40:11 time: 0.9178 data_time: 0.0244 memory: 11089 grad_norm: 5.4667 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1581 loss: 1.1581 2022/08/04 00:08:50 - mmengine - INFO - Epoch(train) [122][540/1879] lr: 2.0000e-03 eta: 13:39:53 time: 0.9160 data_time: 0.0241 memory: 11089 grad_norm: 5.2298 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2950 loss: 1.2950 2022/08/04 00:09:08 - mmengine - INFO - Epoch(train) [122][560/1879] lr: 2.0000e-03 eta: 13:39:34 time: 0.9156 data_time: 0.0333 memory: 11089 grad_norm: 5.2322 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2726 loss: 1.2726 2022/08/04 00:09:27 - mmengine - INFO - Epoch(train) [122][580/1879] lr: 2.0000e-03 eta: 13:39:16 time: 0.9467 data_time: 0.0333 memory: 11089 grad_norm: 5.2484 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2764 loss: 1.2764 2022/08/04 00:09:45 - mmengine - INFO - Epoch(train) [122][600/1879] lr: 2.0000e-03 eta: 13:38:58 time: 0.8992 data_time: 0.0258 memory: 11089 grad_norm: 5.1959 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2534 loss: 1.2534 2022/08/04 00:10:03 - mmengine - INFO - Epoch(train) [122][620/1879] lr: 2.0000e-03 eta: 13:38:40 time: 0.9063 data_time: 0.0256 memory: 11089 grad_norm: 5.2498 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2882 loss: 1.2882 2022/08/04 00:10:22 - mmengine - INFO - Epoch(train) [122][640/1879] lr: 2.0000e-03 eta: 13:38:22 time: 0.9157 data_time: 0.0310 memory: 11089 grad_norm: 5.2430 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3592 loss: 1.3592 2022/08/04 00:10:23 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 00:10:40 - mmengine - INFO - Epoch(train) [122][660/1879] lr: 2.0000e-03 eta: 13:38:03 time: 0.9109 data_time: 0.0283 memory: 11089 grad_norm: 5.0166 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3806 loss: 1.3806 2022/08/04 00:10:58 - mmengine - INFO - Epoch(train) [122][680/1879] lr: 2.0000e-03 eta: 13:37:45 time: 0.9053 data_time: 0.0302 memory: 11089 grad_norm: 5.1537 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3737 loss: 1.3737 2022/08/04 00:11:17 - mmengine - INFO - Epoch(train) [122][700/1879] lr: 2.0000e-03 eta: 13:37:27 time: 0.9375 data_time: 0.0377 memory: 11089 grad_norm: 5.1992 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2902 loss: 1.2902 2022/08/04 00:11:35 - mmengine - INFO - Epoch(train) [122][720/1879] lr: 2.0000e-03 eta: 13:37:09 time: 0.9110 data_time: 0.0226 memory: 11089 grad_norm: 5.1935 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4283 loss: 1.4283 2022/08/04 00:11:53 - mmengine - INFO - Epoch(train) [122][740/1879] lr: 2.0000e-03 eta: 13:36:51 time: 0.9162 data_time: 0.0344 memory: 11089 grad_norm: 5.1784 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3628 loss: 1.3628 2022/08/04 00:12:11 - mmengine - INFO - Epoch(train) [122][760/1879] lr: 2.0000e-03 eta: 13:36:32 time: 0.9029 data_time: 0.0242 memory: 11089 grad_norm: 5.1779 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.3867 loss: 1.3867 2022/08/04 00:12:29 - mmengine - INFO - Epoch(train) [122][780/1879] lr: 2.0000e-03 eta: 13:36:14 time: 0.8984 data_time: 0.0257 memory: 11089 grad_norm: 5.1536 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4365 loss: 1.4365 2022/08/04 00:12:48 - mmengine - INFO - Epoch(train) [122][800/1879] lr: 2.0000e-03 eta: 13:35:56 time: 0.9385 data_time: 0.0291 memory: 11089 grad_norm: 5.2412 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2727 loss: 1.2727 2022/08/04 00:13:07 - mmengine - INFO - Epoch(train) [122][820/1879] lr: 2.0000e-03 eta: 13:35:38 time: 0.9315 data_time: 0.0356 memory: 11089 grad_norm: 5.2156 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2793 loss: 1.2793 2022/08/04 00:13:25 - mmengine - INFO - Epoch(train) [122][840/1879] lr: 2.0000e-03 eta: 13:35:19 time: 0.9097 data_time: 0.0277 memory: 11089 grad_norm: 5.1420 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3917 loss: 1.3917 2022/08/04 00:13:43 - mmengine - INFO - Epoch(train) [122][860/1879] lr: 2.0000e-03 eta: 13:35:01 time: 0.9230 data_time: 0.0320 memory: 11089 grad_norm: 5.3101 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4775 loss: 1.4775 2022/08/04 00:14:02 - mmengine - INFO - Epoch(train) [122][880/1879] lr: 2.0000e-03 eta: 13:34:43 time: 0.9355 data_time: 0.0267 memory: 11089 grad_norm: 5.0258 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1960 loss: 1.1960 2022/08/04 00:14:21 - mmengine - INFO - Epoch(train) [122][900/1879] lr: 2.0000e-03 eta: 13:34:25 time: 0.9282 data_time: 0.0333 memory: 11089 grad_norm: 5.1199 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1961 loss: 1.1961 2022/08/04 00:14:39 - mmengine - INFO - Epoch(train) [122][920/1879] lr: 2.0000e-03 eta: 13:34:07 time: 0.9096 data_time: 0.0276 memory: 11089 grad_norm: 5.2481 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3165 loss: 1.3165 2022/08/04 00:14:57 - mmengine - INFO - Epoch(train) [122][940/1879] lr: 2.0000e-03 eta: 13:33:48 time: 0.9131 data_time: 0.0290 memory: 11089 grad_norm: 5.2069 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1565 loss: 1.1565 2022/08/04 00:15:15 - mmengine - INFO - Epoch(train) [122][960/1879] lr: 2.0000e-03 eta: 13:33:30 time: 0.9147 data_time: 0.0269 memory: 11089 grad_norm: 5.2708 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3553 loss: 1.3553 2022/08/04 00:15:34 - mmengine - INFO - Epoch(train) [122][980/1879] lr: 2.0000e-03 eta: 13:33:12 time: 0.9240 data_time: 0.0266 memory: 11089 grad_norm: 5.3084 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1858 loss: 1.1858 2022/08/04 00:15:52 - mmengine - INFO - Epoch(train) [122][1000/1879] lr: 2.0000e-03 eta: 13:32:54 time: 0.9027 data_time: 0.0223 memory: 11089 grad_norm: 5.1991 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1098 loss: 1.1098 2022/08/04 00:16:10 - mmengine - INFO - Epoch(train) [122][1020/1879] lr: 2.0000e-03 eta: 13:32:36 time: 0.8987 data_time: 0.0278 memory: 11089 grad_norm: 5.3268 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4082 loss: 1.4082 2022/08/04 00:16:28 - mmengine - INFO - Epoch(train) [122][1040/1879] lr: 2.0000e-03 eta: 13:32:17 time: 0.9104 data_time: 0.0264 memory: 11089 grad_norm: 5.3587 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3714 loss: 1.3714 2022/08/04 00:16:46 - mmengine - INFO - Epoch(train) [122][1060/1879] lr: 2.0000e-03 eta: 13:31:59 time: 0.9145 data_time: 0.0270 memory: 11089 grad_norm: 5.3526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3717 loss: 1.3717 2022/08/04 00:17:05 - mmengine - INFO - Epoch(train) [122][1080/1879] lr: 2.0000e-03 eta: 13:31:41 time: 0.9212 data_time: 0.0290 memory: 11089 grad_norm: 5.3871 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1335 loss: 1.1335 2022/08/04 00:17:24 - mmengine - INFO - Epoch(train) [122][1100/1879] lr: 2.0000e-03 eta: 13:31:23 time: 0.9331 data_time: 0.0402 memory: 11089 grad_norm: 5.1258 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0687 loss: 1.0687 2022/08/04 00:17:42 - mmengine - INFO - Epoch(train) [122][1120/1879] lr: 2.0000e-03 eta: 13:31:04 time: 0.9070 data_time: 0.0262 memory: 11089 grad_norm: 5.3140 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4926 loss: 1.4926 2022/08/04 00:18:00 - mmengine - INFO - Epoch(train) [122][1140/1879] lr: 2.0000e-03 eta: 13:30:46 time: 0.9193 data_time: 0.0280 memory: 11089 grad_norm: 5.2630 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3403 loss: 1.3403 2022/08/04 00:18:18 - mmengine - INFO - Epoch(train) [122][1160/1879] lr: 2.0000e-03 eta: 13:30:28 time: 0.9175 data_time: 0.0205 memory: 11089 grad_norm: 5.2021 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2163 loss: 1.2163 2022/08/04 00:18:36 - mmengine - INFO - Epoch(train) [122][1180/1879] lr: 2.0000e-03 eta: 13:30:10 time: 0.8991 data_time: 0.0238 memory: 11089 grad_norm: 5.3352 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2990 loss: 1.2990 2022/08/04 00:18:55 - mmengine - INFO - Epoch(train) [122][1200/1879] lr: 2.0000e-03 eta: 13:29:51 time: 0.9054 data_time: 0.0267 memory: 11089 grad_norm: 5.1894 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3038 loss: 1.3038 2022/08/04 00:19:13 - mmengine - INFO - Epoch(train) [122][1220/1879] lr: 2.0000e-03 eta: 13:29:33 time: 0.9100 data_time: 0.0265 memory: 11089 grad_norm: 5.3705 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2451 loss: 1.2451 2022/08/04 00:19:31 - mmengine - INFO - Epoch(train) [122][1240/1879] lr: 2.0000e-03 eta: 13:29:15 time: 0.9097 data_time: 0.0239 memory: 11089 grad_norm: 5.3019 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3060 loss: 1.3060 2022/08/04 00:19:49 - mmengine - INFO - Epoch(train) [122][1260/1879] lr: 2.0000e-03 eta: 13:28:57 time: 0.9230 data_time: 0.0253 memory: 11089 grad_norm: 5.1200 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0433 loss: 1.0433 2022/08/04 00:20:08 - mmengine - INFO - Epoch(train) [122][1280/1879] lr: 2.0000e-03 eta: 13:28:39 time: 0.9435 data_time: 0.0316 memory: 11089 grad_norm: 5.2944 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3558 loss: 1.3558 2022/08/04 00:20:27 - mmengine - INFO - Epoch(train) [122][1300/1879] lr: 2.0000e-03 eta: 13:28:21 time: 0.9235 data_time: 0.0282 memory: 11089 grad_norm: 5.3392 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2392 loss: 1.2392 2022/08/04 00:20:45 - mmengine - INFO - Epoch(train) [122][1320/1879] lr: 2.0000e-03 eta: 13:28:02 time: 0.9259 data_time: 0.0310 memory: 11089 grad_norm: 5.1245 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2144 loss: 1.2144 2022/08/04 00:21:04 - mmengine - INFO - Epoch(train) [122][1340/1879] lr: 2.0000e-03 eta: 13:27:44 time: 0.9230 data_time: 0.0310 memory: 11089 grad_norm: 5.2879 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4554 loss: 1.4554 2022/08/04 00:21:22 - mmengine - INFO - Epoch(train) [122][1360/1879] lr: 2.0000e-03 eta: 13:27:26 time: 0.9166 data_time: 0.0243 memory: 11089 grad_norm: 5.2948 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2123 loss: 1.2123 2022/08/04 00:21:40 - mmengine - INFO - Epoch(train) [122][1380/1879] lr: 2.0000e-03 eta: 13:27:08 time: 0.9132 data_time: 0.0282 memory: 11089 grad_norm: 5.3852 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4538 loss: 1.4538 2022/08/04 00:21:58 - mmengine - INFO - Epoch(train) [122][1400/1879] lr: 2.0000e-03 eta: 13:26:49 time: 0.9051 data_time: 0.0292 memory: 11089 grad_norm: 5.2170 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1817 loss: 1.1817 2022/08/04 00:22:17 - mmengine - INFO - Epoch(train) [122][1420/1879] lr: 2.0000e-03 eta: 13:26:31 time: 0.9396 data_time: 0.0295 memory: 11089 grad_norm: 5.1065 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2512 loss: 1.2512 2022/08/04 00:22:35 - mmengine - INFO - Epoch(train) [122][1440/1879] lr: 2.0000e-03 eta: 13:26:13 time: 0.9060 data_time: 0.0221 memory: 11089 grad_norm: 5.4351 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3469 loss: 1.3469 2022/08/04 00:22:54 - mmengine - INFO - Epoch(train) [122][1460/1879] lr: 2.0000e-03 eta: 13:25:55 time: 0.9171 data_time: 0.0283 memory: 11089 grad_norm: 5.1945 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3199 loss: 1.3199 2022/08/04 00:23:12 - mmengine - INFO - Epoch(train) [122][1480/1879] lr: 2.0000e-03 eta: 13:25:37 time: 0.8958 data_time: 0.0225 memory: 11089 grad_norm: 5.2561 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1664 loss: 1.1664 2022/08/04 00:23:30 - mmengine - INFO - Epoch(train) [122][1500/1879] lr: 2.0000e-03 eta: 13:25:18 time: 0.9188 data_time: 0.0254 memory: 11089 grad_norm: 5.2550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3017 loss: 1.3017 2022/08/04 00:23:48 - mmengine - INFO - Epoch(train) [122][1520/1879] lr: 2.0000e-03 eta: 13:25:00 time: 0.8996 data_time: 0.0233 memory: 11089 grad_norm: 5.2351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3631 loss: 1.3631 2022/08/04 00:24:07 - mmengine - INFO - Epoch(train) [122][1540/1879] lr: 2.0000e-03 eta: 13:24:42 time: 0.9297 data_time: 0.0262 memory: 11089 grad_norm: 5.3844 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2323 loss: 1.2323 2022/08/04 00:24:25 - mmengine - INFO - Epoch(train) [122][1560/1879] lr: 2.0000e-03 eta: 13:24:24 time: 0.9344 data_time: 0.0297 memory: 11089 grad_norm: 5.2744 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2797 loss: 1.2797 2022/08/04 00:24:43 - mmengine - INFO - Epoch(train) [122][1580/1879] lr: 2.0000e-03 eta: 13:24:05 time: 0.9011 data_time: 0.0263 memory: 11089 grad_norm: 5.3466 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4376 loss: 1.4376 2022/08/04 00:25:02 - mmengine - INFO - Epoch(train) [122][1600/1879] lr: 2.0000e-03 eta: 13:23:47 time: 0.9136 data_time: 0.0279 memory: 11089 grad_norm: 5.1142 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1935 loss: 1.1935 2022/08/04 00:25:20 - mmengine - INFO - Epoch(train) [122][1620/1879] lr: 2.0000e-03 eta: 13:23:29 time: 0.9395 data_time: 0.0279 memory: 11089 grad_norm: 5.1770 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1997 loss: 1.1997 2022/08/04 00:25:39 - mmengine - INFO - Epoch(train) [122][1640/1879] lr: 2.0000e-03 eta: 13:23:11 time: 0.9496 data_time: 0.0365 memory: 11089 grad_norm: 5.2504 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2970 loss: 1.2970 2022/08/04 00:25:40 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 00:25:58 - mmengine - INFO - Epoch(train) [122][1660/1879] lr: 2.0000e-03 eta: 13:22:53 time: 0.9384 data_time: 0.0308 memory: 11089 grad_norm: 5.2882 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3444 loss: 1.3444 2022/08/04 00:26:17 - mmengine - INFO - Epoch(train) [122][1680/1879] lr: 2.0000e-03 eta: 13:22:35 time: 0.9246 data_time: 0.0314 memory: 11089 grad_norm: 5.2934 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1539 loss: 1.1539 2022/08/04 00:26:35 - mmengine - INFO - Epoch(train) [122][1700/1879] lr: 2.0000e-03 eta: 13:22:16 time: 0.8924 data_time: 0.0229 memory: 11089 grad_norm: 5.1059 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2514 loss: 1.2514 2022/08/04 00:26:53 - mmengine - INFO - Epoch(train) [122][1720/1879] lr: 2.0000e-03 eta: 13:21:58 time: 0.9052 data_time: 0.0286 memory: 11089 grad_norm: 5.1753 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2177 loss: 1.2177 2022/08/04 00:27:11 - mmengine - INFO - Epoch(train) [122][1740/1879] lr: 2.0000e-03 eta: 13:21:40 time: 0.9139 data_time: 0.0221 memory: 11089 grad_norm: 5.3903 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4796 loss: 1.4796 2022/08/04 00:27:29 - mmengine - INFO - Epoch(train) [122][1760/1879] lr: 2.0000e-03 eta: 13:21:22 time: 0.9119 data_time: 0.0248 memory: 11089 grad_norm: 5.6135 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2269 loss: 1.2269 2022/08/04 00:27:48 - mmengine - INFO - Epoch(train) [122][1780/1879] lr: 2.0000e-03 eta: 13:21:04 time: 0.9205 data_time: 0.0253 memory: 11089 grad_norm: 5.3670 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5449 loss: 1.5449 2022/08/04 00:28:06 - mmengine - INFO - Epoch(train) [122][1800/1879] lr: 2.0000e-03 eta: 13:20:45 time: 0.9179 data_time: 0.0262 memory: 11089 grad_norm: 5.1083 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3326 loss: 1.3326 2022/08/04 00:28:24 - mmengine - INFO - Epoch(train) [122][1820/1879] lr: 2.0000e-03 eta: 13:20:27 time: 0.9023 data_time: 0.0249 memory: 11089 grad_norm: 5.4449 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2452 loss: 1.2452 2022/08/04 00:28:42 - mmengine - INFO - Epoch(train) [122][1840/1879] lr: 2.0000e-03 eta: 13:20:09 time: 0.9159 data_time: 0.0282 memory: 11089 grad_norm: 5.0848 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2182 loss: 1.2182 2022/08/04 00:29:00 - mmengine - INFO - Epoch(train) [122][1860/1879] lr: 2.0000e-03 eta: 13:19:51 time: 0.9005 data_time: 0.0239 memory: 11089 grad_norm: 5.1944 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2960 loss: 1.2960 2022/08/04 00:29:18 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 00:29:18 - mmengine - INFO - Epoch(train) [122][1879/1879] lr: 2.0000e-03 eta: 13:19:51 time: 0.9291 data_time: 0.0254 memory: 11089 grad_norm: 5.2521 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2392 loss: 1.2392 2022/08/04 00:29:39 - mmengine - INFO - Epoch(train) [123][20/1879] lr: 2.0000e-03 eta: 13:19:12 time: 1.0323 data_time: 0.1472 memory: 11089 grad_norm: 5.1775 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1387 loss: 1.1387 2022/08/04 00:29:57 - mmengine - INFO - Epoch(train) [123][40/1879] lr: 2.0000e-03 eta: 13:18:53 time: 0.9223 data_time: 0.0294 memory: 11089 grad_norm: 5.2112 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3036 loss: 1.3036 2022/08/04 00:30:16 - mmengine - INFO - Epoch(train) [123][60/1879] lr: 2.0000e-03 eta: 13:18:35 time: 0.9148 data_time: 0.0290 memory: 11089 grad_norm: 5.4691 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2907 loss: 1.2907 2022/08/04 00:30:34 - mmengine - INFO - Epoch(train) [123][80/1879] lr: 2.0000e-03 eta: 13:18:17 time: 0.9152 data_time: 0.0244 memory: 11089 grad_norm: 5.1849 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.1543 loss: 1.1543 2022/08/04 00:30:52 - mmengine - INFO - Epoch(train) [123][100/1879] lr: 2.0000e-03 eta: 13:17:59 time: 0.9114 data_time: 0.0273 memory: 11089 grad_norm: 5.3429 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3163 loss: 1.3163 2022/08/04 00:31:10 - mmengine - INFO - Epoch(train) [123][120/1879] lr: 2.0000e-03 eta: 13:17:40 time: 0.9116 data_time: 0.0244 memory: 11089 grad_norm: 5.2216 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2338 loss: 1.2338 2022/08/04 00:31:28 - mmengine - INFO - Epoch(train) [123][140/1879] lr: 2.0000e-03 eta: 13:17:22 time: 0.9052 data_time: 0.0251 memory: 11089 grad_norm: 5.2574 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2487 loss: 1.2487 2022/08/04 00:31:47 - mmengine - INFO - Epoch(train) [123][160/1879] lr: 2.0000e-03 eta: 13:17:04 time: 0.9436 data_time: 0.0333 memory: 11089 grad_norm: 5.3437 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2438 loss: 1.2438 2022/08/04 00:32:06 - mmengine - INFO - Epoch(train) [123][180/1879] lr: 2.0000e-03 eta: 13:16:46 time: 0.9423 data_time: 0.0327 memory: 11089 grad_norm: 5.2609 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2790 loss: 1.2790 2022/08/04 00:32:25 - mmengine - INFO - Epoch(train) [123][200/1879] lr: 2.0000e-03 eta: 13:16:28 time: 0.9304 data_time: 0.0240 memory: 11089 grad_norm: 5.1440 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2830 loss: 1.2830 2022/08/04 00:32:43 - mmengine - INFO - Epoch(train) [123][220/1879] lr: 2.0000e-03 eta: 13:16:10 time: 0.9250 data_time: 0.0340 memory: 11089 grad_norm: 5.1785 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4564 loss: 1.4564 2022/08/04 00:33:02 - mmengine - INFO - Epoch(train) [123][240/1879] lr: 2.0000e-03 eta: 13:15:51 time: 0.9157 data_time: 0.0309 memory: 11089 grad_norm: 5.3244 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2143 loss: 1.2143 2022/08/04 00:33:20 - mmengine - INFO - Epoch(train) [123][260/1879] lr: 2.0000e-03 eta: 13:15:33 time: 0.9053 data_time: 0.0219 memory: 11089 grad_norm: 5.0596 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.2121 loss: 1.2121 2022/08/04 00:33:38 - mmengine - INFO - Epoch(train) [123][280/1879] lr: 2.0000e-03 eta: 13:15:15 time: 0.9228 data_time: 0.0247 memory: 11089 grad_norm: 5.0524 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3131 loss: 1.3131 2022/08/04 00:33:57 - mmengine - INFO - Epoch(train) [123][300/1879] lr: 2.0000e-03 eta: 13:14:57 time: 0.9311 data_time: 0.0269 memory: 11089 grad_norm: 5.2351 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1925 loss: 1.1925 2022/08/04 00:34:15 - mmengine - INFO - Epoch(train) [123][320/1879] lr: 2.0000e-03 eta: 13:14:39 time: 0.9118 data_time: 0.0250 memory: 11089 grad_norm: 5.1665 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2820 loss: 1.2820 2022/08/04 00:34:34 - mmengine - INFO - Epoch(train) [123][340/1879] lr: 2.0000e-03 eta: 13:14:20 time: 0.9292 data_time: 0.0340 memory: 11089 grad_norm: 5.2527 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3978 loss: 1.3978 2022/08/04 00:34:52 - mmengine - INFO - Epoch(train) [123][360/1879] lr: 2.0000e-03 eta: 13:14:02 time: 0.9255 data_time: 0.0220 memory: 11089 grad_norm: 5.2870 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1567 loss: 1.1567 2022/08/04 00:35:11 - mmengine - INFO - Epoch(train) [123][380/1879] lr: 2.0000e-03 eta: 13:13:44 time: 0.9349 data_time: 0.0273 memory: 11089 grad_norm: 5.2933 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3214 loss: 1.3214 2022/08/04 00:35:29 - mmengine - INFO - Epoch(train) [123][400/1879] lr: 2.0000e-03 eta: 13:13:26 time: 0.9180 data_time: 0.0307 memory: 11089 grad_norm: 5.1705 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1630 loss: 1.1630 2022/08/04 00:35:48 - mmengine - INFO - Epoch(train) [123][420/1879] lr: 2.0000e-03 eta: 13:13:08 time: 0.9176 data_time: 0.0285 memory: 11089 grad_norm: 5.2400 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2782 loss: 1.2782 2022/08/04 00:36:06 - mmengine - INFO - Epoch(train) [123][440/1879] lr: 2.0000e-03 eta: 13:12:50 time: 0.9127 data_time: 0.0360 memory: 11089 grad_norm: 5.1577 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3491 loss: 1.3491 2022/08/04 00:36:24 - mmengine - INFO - Epoch(train) [123][460/1879] lr: 2.0000e-03 eta: 13:12:31 time: 0.9181 data_time: 0.0255 memory: 11089 grad_norm: 5.1873 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0601 loss: 1.0601 2022/08/04 00:36:43 - mmengine - INFO - Epoch(train) [123][480/1879] lr: 2.0000e-03 eta: 13:12:13 time: 0.9239 data_time: 0.0290 memory: 11089 grad_norm: 5.2632 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4105 loss: 1.4105 2022/08/04 00:37:01 - mmengine - INFO - Epoch(train) [123][500/1879] lr: 2.0000e-03 eta: 13:11:55 time: 0.9323 data_time: 0.0414 memory: 11089 grad_norm: 5.3351 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1174 loss: 1.1174 2022/08/04 00:37:20 - mmengine - INFO - Epoch(train) [123][520/1879] lr: 2.0000e-03 eta: 13:11:37 time: 0.9210 data_time: 0.0243 memory: 11089 grad_norm: 5.3256 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5357 loss: 1.5357 2022/08/04 00:37:38 - mmengine - INFO - Epoch(train) [123][540/1879] lr: 2.0000e-03 eta: 13:11:19 time: 0.9032 data_time: 0.0293 memory: 11089 grad_norm: 5.3564 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3692 loss: 1.3692 2022/08/04 00:37:57 - mmengine - INFO - Epoch(train) [123][560/1879] lr: 2.0000e-03 eta: 13:11:00 time: 0.9331 data_time: 0.0333 memory: 11089 grad_norm: 5.2829 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2928 loss: 1.2928 2022/08/04 00:38:15 - mmengine - INFO - Epoch(train) [123][580/1879] lr: 2.0000e-03 eta: 13:10:42 time: 0.9103 data_time: 0.0269 memory: 11089 grad_norm: 5.4396 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3518 loss: 1.3518 2022/08/04 00:38:33 - mmengine - INFO - Epoch(train) [123][600/1879] lr: 2.0000e-03 eta: 13:10:24 time: 0.9016 data_time: 0.0233 memory: 11089 grad_norm: 5.3401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2807 loss: 1.2807 2022/08/04 00:38:51 - mmengine - INFO - Epoch(train) [123][620/1879] lr: 2.0000e-03 eta: 13:10:06 time: 0.9077 data_time: 0.0244 memory: 11089 grad_norm: 5.2866 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2330 loss: 1.2330 2022/08/04 00:39:10 - mmengine - INFO - Epoch(train) [123][640/1879] lr: 2.0000e-03 eta: 13:09:47 time: 0.9337 data_time: 0.0330 memory: 11089 grad_norm: 5.2878 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3714 loss: 1.3714 2022/08/04 00:39:28 - mmengine - INFO - Epoch(train) [123][660/1879] lr: 2.0000e-03 eta: 13:09:29 time: 0.9410 data_time: 0.0369 memory: 11089 grad_norm: 5.3795 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1954 loss: 1.1954 2022/08/04 00:39:47 - mmengine - INFO - Epoch(train) [123][680/1879] lr: 2.0000e-03 eta: 13:09:11 time: 0.9076 data_time: 0.0264 memory: 11089 grad_norm: 5.2703 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3025 loss: 1.3025 2022/08/04 00:40:05 - mmengine - INFO - Epoch(train) [123][700/1879] lr: 2.0000e-03 eta: 13:08:53 time: 0.9154 data_time: 0.0249 memory: 11089 grad_norm: 5.2515 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4595 loss: 1.4595 2022/08/04 00:40:24 - mmengine - INFO - Epoch(train) [123][720/1879] lr: 2.0000e-03 eta: 13:08:35 time: 0.9418 data_time: 0.0319 memory: 11089 grad_norm: 5.2906 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1427 loss: 1.1427 2022/08/04 00:40:42 - mmengine - INFO - Epoch(train) [123][740/1879] lr: 2.0000e-03 eta: 13:08:17 time: 0.9204 data_time: 0.0274 memory: 11089 grad_norm: 5.3205 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2829 loss: 1.2829 2022/08/04 00:41:00 - mmengine - INFO - Epoch(train) [123][760/1879] lr: 2.0000e-03 eta: 13:07:58 time: 0.9150 data_time: 0.0250 memory: 11089 grad_norm: 5.4087 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3784 loss: 1.3784 2022/08/04 00:41:02 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 00:41:19 - mmengine - INFO - Epoch(train) [123][780/1879] lr: 2.0000e-03 eta: 13:07:40 time: 0.9103 data_time: 0.0231 memory: 11089 grad_norm: 5.2582 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1073 loss: 1.1073 2022/08/04 00:41:37 - mmengine - INFO - Epoch(train) [123][800/1879] lr: 2.0000e-03 eta: 13:07:22 time: 0.9023 data_time: 0.0239 memory: 11089 grad_norm: 5.1404 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3341 loss: 1.3341 2022/08/04 00:41:55 - mmengine - INFO - Epoch(train) [123][820/1879] lr: 2.0000e-03 eta: 13:07:04 time: 0.9011 data_time: 0.0238 memory: 11089 grad_norm: 5.1980 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3178 loss: 1.3178 2022/08/04 00:42:13 - mmengine - INFO - Epoch(train) [123][840/1879] lr: 2.0000e-03 eta: 13:06:45 time: 0.9086 data_time: 0.0241 memory: 11089 grad_norm: 5.3751 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.4322 loss: 1.4322 2022/08/04 00:42:32 - mmengine - INFO - Epoch(train) [123][860/1879] lr: 2.0000e-03 eta: 13:06:27 time: 0.9204 data_time: 0.0237 memory: 11089 grad_norm: 5.2935 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2023 loss: 1.2023 2022/08/04 00:42:50 - mmengine - INFO - Epoch(train) [123][880/1879] lr: 2.0000e-03 eta: 13:06:09 time: 0.9143 data_time: 0.0306 memory: 11089 grad_norm: 5.2322 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2135 loss: 1.2135 2022/08/04 00:43:08 - mmengine - INFO - Epoch(train) [123][900/1879] lr: 2.0000e-03 eta: 13:05:51 time: 0.9154 data_time: 0.0322 memory: 11089 grad_norm: 5.3935 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4233 loss: 1.4233 2022/08/04 00:43:26 - mmengine - INFO - Epoch(train) [123][920/1879] lr: 2.0000e-03 eta: 13:05:32 time: 0.9044 data_time: 0.0269 memory: 11089 grad_norm: 5.1592 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1000 loss: 1.1000 2022/08/04 00:43:44 - mmengine - INFO - Epoch(train) [123][940/1879] lr: 2.0000e-03 eta: 13:05:14 time: 0.9096 data_time: 0.0227 memory: 11089 grad_norm: 5.4055 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3989 loss: 1.3989 2022/08/04 00:44:03 - mmengine - INFO - Epoch(train) [123][960/1879] lr: 2.0000e-03 eta: 13:04:56 time: 0.9182 data_time: 0.0293 memory: 11089 grad_norm: 5.3499 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3310 loss: 1.3310 2022/08/04 00:44:22 - mmengine - INFO - Epoch(train) [123][980/1879] lr: 2.0000e-03 eta: 13:04:38 time: 0.9497 data_time: 0.0305 memory: 11089 grad_norm: 5.1784 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3416 loss: 1.3416 2022/08/04 00:44:40 - mmengine - INFO - Epoch(train) [123][1000/1879] lr: 2.0000e-03 eta: 13:04:20 time: 0.9222 data_time: 0.0272 memory: 11089 grad_norm: 5.3612 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3646 loss: 1.3646 2022/08/04 00:44:59 - mmengine - INFO - Epoch(train) [123][1020/1879] lr: 2.0000e-03 eta: 13:04:02 time: 0.9401 data_time: 0.0288 memory: 11089 grad_norm: 5.1365 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1380 loss: 1.1380 2022/08/04 00:45:17 - mmengine - INFO - Epoch(train) [123][1040/1879] lr: 2.0000e-03 eta: 13:03:43 time: 0.9069 data_time: 0.0269 memory: 11089 grad_norm: 5.2815 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4082 loss: 1.4082 2022/08/04 00:45:35 - mmengine - INFO - Epoch(train) [123][1060/1879] lr: 2.0000e-03 eta: 13:03:25 time: 0.9153 data_time: 0.0282 memory: 11089 grad_norm: 5.1882 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3597 loss: 1.3597 2022/08/04 00:45:54 - mmengine - INFO - Epoch(train) [123][1080/1879] lr: 2.0000e-03 eta: 13:03:07 time: 0.9129 data_time: 0.0296 memory: 11089 grad_norm: 5.2756 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2333 loss: 1.2333 2022/08/04 00:46:12 - mmengine - INFO - Epoch(train) [123][1100/1879] lr: 2.0000e-03 eta: 13:02:49 time: 0.8988 data_time: 0.0269 memory: 11089 grad_norm: 5.2298 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3213 loss: 1.3213 2022/08/04 00:46:30 - mmengine - INFO - Epoch(train) [123][1120/1879] lr: 2.0000e-03 eta: 13:02:30 time: 0.9018 data_time: 0.0312 memory: 11089 grad_norm: 5.2347 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3548 loss: 1.3548 2022/08/04 00:46:48 - mmengine - INFO - Epoch(train) [123][1140/1879] lr: 2.0000e-03 eta: 13:02:12 time: 0.9077 data_time: 0.0309 memory: 11089 grad_norm: 5.3746 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3563 loss: 1.3563 2022/08/04 00:47:06 - mmengine - INFO - Epoch(train) [123][1160/1879] lr: 2.0000e-03 eta: 13:01:54 time: 0.9033 data_time: 0.0258 memory: 11089 grad_norm: 5.3568 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3698 loss: 1.3698 2022/08/04 00:47:24 - mmengine - INFO - Epoch(train) [123][1180/1879] lr: 2.0000e-03 eta: 13:01:36 time: 0.9119 data_time: 0.0315 memory: 11089 grad_norm: 5.4351 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3859 loss: 1.3859 2022/08/04 00:47:42 - mmengine - INFO - Epoch(train) [123][1200/1879] lr: 2.0000e-03 eta: 13:01:17 time: 0.9027 data_time: 0.0220 memory: 11089 grad_norm: 5.2927 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3513 loss: 1.3513 2022/08/04 00:48:00 - mmengine - INFO - Epoch(train) [123][1220/1879] lr: 2.0000e-03 eta: 13:00:59 time: 0.9048 data_time: 0.0178 memory: 11089 grad_norm: 5.3517 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4063 loss: 1.4063 2022/08/04 00:48:18 - mmengine - INFO - Epoch(train) [123][1240/1879] lr: 2.0000e-03 eta: 13:00:41 time: 0.9084 data_time: 0.0266 memory: 11089 grad_norm: 5.3599 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2989 loss: 1.2989 2022/08/04 00:48:37 - mmengine - INFO - Epoch(train) [123][1260/1879] lr: 2.0000e-03 eta: 13:00:23 time: 0.9192 data_time: 0.0291 memory: 11089 grad_norm: 5.2567 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2071 loss: 1.2071 2022/08/04 00:48:55 - mmengine - INFO - Epoch(train) [123][1280/1879] lr: 2.0000e-03 eta: 13:00:04 time: 0.9213 data_time: 0.0313 memory: 11089 grad_norm: 5.1863 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5042 loss: 1.5042 2022/08/04 00:49:14 - mmengine - INFO - Epoch(train) [123][1300/1879] lr: 2.0000e-03 eta: 12:59:46 time: 0.9304 data_time: 0.0363 memory: 11089 grad_norm: 5.3543 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3224 loss: 1.3224 2022/08/04 00:49:32 - mmengine - INFO - Epoch(train) [123][1320/1879] lr: 2.0000e-03 eta: 12:59:28 time: 0.9125 data_time: 0.0320 memory: 11089 grad_norm: 5.2417 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3662 loss: 1.3662 2022/08/04 00:49:51 - mmengine - INFO - Epoch(train) [123][1340/1879] lr: 2.0000e-03 eta: 12:59:10 time: 0.9196 data_time: 0.0265 memory: 11089 grad_norm: 5.2597 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2424 loss: 1.2424 2022/08/04 00:50:09 - mmengine - INFO - Epoch(train) [123][1360/1879] lr: 2.0000e-03 eta: 12:58:52 time: 0.9170 data_time: 0.0351 memory: 11089 grad_norm: 5.1910 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2737 loss: 1.2737 2022/08/04 00:50:27 - mmengine - INFO - Epoch(train) [123][1380/1879] lr: 2.0000e-03 eta: 12:58:33 time: 0.9157 data_time: 0.0237 memory: 11089 grad_norm: 5.1627 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1728 loss: 1.1728 2022/08/04 00:50:46 - mmengine - INFO - Epoch(train) [123][1400/1879] lr: 2.0000e-03 eta: 12:58:15 time: 0.9363 data_time: 0.0336 memory: 11089 grad_norm: 5.1714 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4502 loss: 1.4502 2022/08/04 00:51:05 - mmengine - INFO - Epoch(train) [123][1420/1879] lr: 2.0000e-03 eta: 12:57:57 time: 0.9483 data_time: 0.0319 memory: 11089 grad_norm: 5.3616 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3601 loss: 1.3601 2022/08/04 00:51:23 - mmengine - INFO - Epoch(train) [123][1440/1879] lr: 2.0000e-03 eta: 12:57:39 time: 0.9177 data_time: 0.0274 memory: 11089 grad_norm: 5.3324 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2995 loss: 1.2995 2022/08/04 00:51:41 - mmengine - INFO - Epoch(train) [123][1460/1879] lr: 2.0000e-03 eta: 12:57:21 time: 0.9025 data_time: 0.0254 memory: 11089 grad_norm: 5.2669 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3184 loss: 1.3184 2022/08/04 00:52:00 - mmengine - INFO - Epoch(train) [123][1480/1879] lr: 2.0000e-03 eta: 12:57:02 time: 0.9188 data_time: 0.0248 memory: 11089 grad_norm: 5.0441 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0862 loss: 1.0862 2022/08/04 00:52:18 - mmengine - INFO - Epoch(train) [123][1500/1879] lr: 2.0000e-03 eta: 12:56:44 time: 0.9180 data_time: 0.0274 memory: 11089 grad_norm: 5.1171 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1430 loss: 1.1430 2022/08/04 00:52:36 - mmengine - INFO - Epoch(train) [123][1520/1879] lr: 2.0000e-03 eta: 12:56:26 time: 0.8986 data_time: 0.0202 memory: 11089 grad_norm: 5.3094 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3788 loss: 1.3788 2022/08/04 00:52:54 - mmengine - INFO - Epoch(train) [123][1540/1879] lr: 2.0000e-03 eta: 12:56:08 time: 0.9106 data_time: 0.0306 memory: 11089 grad_norm: 5.3195 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2656 loss: 1.2656 2022/08/04 00:53:13 - mmengine - INFO - Epoch(train) [123][1560/1879] lr: 2.0000e-03 eta: 12:55:49 time: 0.9059 data_time: 0.0225 memory: 11089 grad_norm: 5.3564 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4321 loss: 1.4321 2022/08/04 00:53:34 - mmengine - INFO - Epoch(train) [123][1580/1879] lr: 2.0000e-03 eta: 12:55:32 time: 1.0653 data_time: 0.0762 memory: 11089 grad_norm: 5.3314 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3360 loss: 1.3360 2022/08/04 00:53:52 - mmengine - INFO - Epoch(train) [123][1600/1879] lr: 2.0000e-03 eta: 12:55:14 time: 0.9054 data_time: 0.0307 memory: 11089 grad_norm: 5.3195 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4158 loss: 1.4158 2022/08/04 00:54:10 - mmengine - INFO - Epoch(train) [123][1620/1879] lr: 2.0000e-03 eta: 12:54:55 time: 0.9222 data_time: 0.0250 memory: 11089 grad_norm: 5.2420 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3940 loss: 1.3940 2022/08/04 00:54:29 - mmengine - INFO - Epoch(train) [123][1640/1879] lr: 2.0000e-03 eta: 12:54:37 time: 0.9176 data_time: 0.0282 memory: 11089 grad_norm: 5.1982 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3492 loss: 1.3492 2022/08/04 00:54:48 - mmengine - INFO - Epoch(train) [123][1660/1879] lr: 2.0000e-03 eta: 12:54:19 time: 0.9504 data_time: 0.0372 memory: 11089 grad_norm: 5.2010 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1107 loss: 1.1107 2022/08/04 00:55:05 - mmengine - INFO - Epoch(train) [123][1680/1879] lr: 2.0000e-03 eta: 12:54:01 time: 0.8896 data_time: 0.0284 memory: 11089 grad_norm: 5.3642 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1351 loss: 1.1351 2022/08/04 00:55:25 - mmengine - INFO - Epoch(train) [123][1700/1879] lr: 2.0000e-03 eta: 12:53:43 time: 0.9807 data_time: 0.0317 memory: 11089 grad_norm: 5.2856 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2261 loss: 1.2261 2022/08/04 00:55:44 - mmengine - INFO - Epoch(train) [123][1720/1879] lr: 2.0000e-03 eta: 12:53:25 time: 0.9282 data_time: 0.0344 memory: 11089 grad_norm: 5.2143 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2228 loss: 1.2228 2022/08/04 00:56:02 - mmengine - INFO - Epoch(train) [123][1740/1879] lr: 2.0000e-03 eta: 12:53:06 time: 0.9051 data_time: 0.0238 memory: 11089 grad_norm: 5.2648 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4280 loss: 1.4280 2022/08/04 00:56:21 - mmengine - INFO - Epoch(train) [123][1760/1879] lr: 2.0000e-03 eta: 12:52:48 time: 0.9421 data_time: 0.0319 memory: 11089 grad_norm: 5.3306 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3838 loss: 1.3838 2022/08/04 00:56:22 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 00:56:39 - mmengine - INFO - Epoch(train) [123][1780/1879] lr: 2.0000e-03 eta: 12:52:30 time: 0.9362 data_time: 0.0297 memory: 11089 grad_norm: 5.4453 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3928 loss: 1.3928 2022/08/04 00:56:59 - mmengine - INFO - Epoch(train) [123][1800/1879] lr: 2.0000e-03 eta: 12:52:12 time: 0.9634 data_time: 0.0370 memory: 11089 grad_norm: 5.2208 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.3000 loss: 1.3000 2022/08/04 00:57:17 - mmengine - INFO - Epoch(train) [123][1820/1879] lr: 2.0000e-03 eta: 12:51:54 time: 0.9422 data_time: 0.0351 memory: 11089 grad_norm: 5.3299 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2743 loss: 1.2743 2022/08/04 00:57:36 - mmengine - INFO - Epoch(train) [123][1840/1879] lr: 2.0000e-03 eta: 12:51:36 time: 0.9084 data_time: 0.0252 memory: 11089 grad_norm: 5.6534 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2093 loss: 1.2093 2022/08/04 00:57:55 - mmengine - INFO - Epoch(train) [123][1860/1879] lr: 2.0000e-03 eta: 12:51:18 time: 0.9450 data_time: 0.0307 memory: 11089 grad_norm: 5.9859 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3108 loss: 1.3108 2022/08/04 00:58:11 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 00:58:11 - mmengine - INFO - Epoch(train) [123][1879/1879] lr: 2.0000e-03 eta: 12:51:18 time: 0.8807 data_time: 0.0260 memory: 11089 grad_norm: 5.3377 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.1511 loss: 1.1511 2022/08/04 00:58:31 - mmengine - INFO - Epoch(train) [124][20/1879] lr: 2.0000e-03 eta: 12:50:39 time: 0.9711 data_time: 0.1079 memory: 11089 grad_norm: 5.3153 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1866 loss: 1.1866 2022/08/04 00:58:49 - mmengine - INFO - Epoch(train) [124][40/1879] lr: 2.0000e-03 eta: 12:50:20 time: 0.9157 data_time: 0.0272 memory: 11089 grad_norm: 5.2522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4548 loss: 1.4548 2022/08/04 00:59:08 - mmengine - INFO - Epoch(train) [124][60/1879] lr: 2.0000e-03 eta: 12:50:02 time: 0.9422 data_time: 0.0302 memory: 11089 grad_norm: 5.4481 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2053 loss: 1.2053 2022/08/04 00:59:26 - mmengine - INFO - Epoch(train) [124][80/1879] lr: 2.0000e-03 eta: 12:49:44 time: 0.9098 data_time: 0.0287 memory: 11089 grad_norm: 5.2173 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3116 loss: 1.3116 2022/08/04 00:59:44 - mmengine - INFO - Epoch(train) [124][100/1879] lr: 2.0000e-03 eta: 12:49:26 time: 0.9128 data_time: 0.0297 memory: 11089 grad_norm: 5.3738 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3520 loss: 1.3520 2022/08/04 01:00:04 - mmengine - INFO - Epoch(train) [124][120/1879] lr: 2.0000e-03 eta: 12:49:08 time: 0.9572 data_time: 0.0361 memory: 11089 grad_norm: 5.3192 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2377 loss: 1.2377 2022/08/04 01:00:22 - mmengine - INFO - Epoch(train) [124][140/1879] lr: 2.0000e-03 eta: 12:48:50 time: 0.9287 data_time: 0.0259 memory: 11089 grad_norm: 5.4462 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1762 loss: 1.1762 2022/08/04 01:00:41 - mmengine - INFO - Epoch(train) [124][160/1879] lr: 2.0000e-03 eta: 12:48:32 time: 0.9400 data_time: 0.0275 memory: 11089 grad_norm: 5.2198 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1615 loss: 1.1615 2022/08/04 01:00:59 - mmengine - INFO - Epoch(train) [124][180/1879] lr: 2.0000e-03 eta: 12:48:13 time: 0.8952 data_time: 0.0280 memory: 11089 grad_norm: 5.3512 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3291 loss: 1.3291 2022/08/04 01:01:17 - mmengine - INFO - Epoch(train) [124][200/1879] lr: 2.0000e-03 eta: 12:47:55 time: 0.9042 data_time: 0.0233 memory: 11089 grad_norm: 5.4132 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3147 loss: 1.3147 2022/08/04 01:01:35 - mmengine - INFO - Epoch(train) [124][220/1879] lr: 2.0000e-03 eta: 12:47:37 time: 0.9151 data_time: 0.0253 memory: 11089 grad_norm: 5.2582 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2566 loss: 1.2566 2022/08/04 01:01:54 - mmengine - INFO - Epoch(train) [124][240/1879] lr: 2.0000e-03 eta: 12:47:19 time: 0.9614 data_time: 0.0278 memory: 11089 grad_norm: 5.3940 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3057 loss: 1.3057 2022/08/04 01:02:13 - mmengine - INFO - Epoch(train) [124][260/1879] lr: 2.0000e-03 eta: 12:47:00 time: 0.9063 data_time: 0.0253 memory: 11089 grad_norm: 5.3402 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2126 loss: 1.2126 2022/08/04 01:02:31 - mmengine - INFO - Epoch(train) [124][280/1879] lr: 2.0000e-03 eta: 12:46:42 time: 0.9210 data_time: 0.0274 memory: 11089 grad_norm: 5.0949 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3586 loss: 1.3586 2022/08/04 01:02:49 - mmengine - INFO - Epoch(train) [124][300/1879] lr: 2.0000e-03 eta: 12:46:24 time: 0.9093 data_time: 0.0249 memory: 11089 grad_norm: 5.2236 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1475 loss: 1.1475 2022/08/04 01:03:07 - mmengine - INFO - Epoch(train) [124][320/1879] lr: 2.0000e-03 eta: 12:46:06 time: 0.9043 data_time: 0.0286 memory: 11089 grad_norm: 5.3295 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1753 loss: 1.1753 2022/08/04 01:03:25 - mmengine - INFO - Epoch(train) [124][340/1879] lr: 2.0000e-03 eta: 12:45:47 time: 0.9079 data_time: 0.0286 memory: 11089 grad_norm: 5.3942 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3133 loss: 1.3133 2022/08/04 01:03:43 - mmengine - INFO - Epoch(train) [124][360/1879] lr: 2.0000e-03 eta: 12:45:29 time: 0.8975 data_time: 0.0222 memory: 11089 grad_norm: 5.3053 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2089 loss: 1.2089 2022/08/04 01:04:02 - mmengine - INFO - Epoch(train) [124][380/1879] lr: 2.0000e-03 eta: 12:45:11 time: 0.9205 data_time: 0.0244 memory: 11089 grad_norm: 5.2822 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1595 loss: 1.1595 2022/08/04 01:04:20 - mmengine - INFO - Epoch(train) [124][400/1879] lr: 2.0000e-03 eta: 12:44:53 time: 0.9184 data_time: 0.0237 memory: 11089 grad_norm: 5.4327 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1815 loss: 1.1815 2022/08/04 01:04:38 - mmengine - INFO - Epoch(train) [124][420/1879] lr: 2.0000e-03 eta: 12:44:35 time: 0.9022 data_time: 0.0223 memory: 11089 grad_norm: 5.3976 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2212 loss: 1.2212 2022/08/04 01:04:56 - mmengine - INFO - Epoch(train) [124][440/1879] lr: 2.0000e-03 eta: 12:44:16 time: 0.9031 data_time: 0.0222 memory: 11089 grad_norm: 5.3263 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2415 loss: 1.2415 2022/08/04 01:05:14 - mmengine - INFO - Epoch(train) [124][460/1879] lr: 2.0000e-03 eta: 12:43:58 time: 0.8912 data_time: 0.0259 memory: 11089 grad_norm: 5.3309 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5055 loss: 1.5055 2022/08/04 01:05:33 - mmengine - INFO - Epoch(train) [124][480/1879] lr: 2.0000e-03 eta: 12:43:40 time: 0.9328 data_time: 0.0239 memory: 11089 grad_norm: 5.4018 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4091 loss: 1.4091 2022/08/04 01:05:51 - mmengine - INFO - Epoch(train) [124][500/1879] lr: 2.0000e-03 eta: 12:43:22 time: 0.9250 data_time: 0.0264 memory: 11089 grad_norm: 5.3160 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1834 loss: 1.1834 2022/08/04 01:06:10 - mmengine - INFO - Epoch(train) [124][520/1879] lr: 2.0000e-03 eta: 12:43:03 time: 0.9099 data_time: 0.0253 memory: 11089 grad_norm: 5.3809 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2719 loss: 1.2719 2022/08/04 01:06:28 - mmengine - INFO - Epoch(train) [124][540/1879] lr: 2.0000e-03 eta: 12:42:45 time: 0.9058 data_time: 0.0253 memory: 11089 grad_norm: 5.2979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3449 loss: 1.3449 2022/08/04 01:06:46 - mmengine - INFO - Epoch(train) [124][560/1879] lr: 2.0000e-03 eta: 12:42:27 time: 0.9131 data_time: 0.0281 memory: 11089 grad_norm: 5.4792 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4100 loss: 1.4100 2022/08/04 01:07:04 - mmengine - INFO - Epoch(train) [124][580/1879] lr: 2.0000e-03 eta: 12:42:09 time: 0.8870 data_time: 0.0257 memory: 11089 grad_norm: 5.3283 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1052 loss: 1.1052 2022/08/04 01:07:22 - mmengine - INFO - Epoch(train) [124][600/1879] lr: 2.0000e-03 eta: 12:41:50 time: 0.9393 data_time: 0.0384 memory: 11089 grad_norm: 5.3793 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3859 loss: 1.3859 2022/08/04 01:07:41 - mmengine - INFO - Epoch(train) [124][620/1879] lr: 2.0000e-03 eta: 12:41:32 time: 0.9042 data_time: 0.0242 memory: 11089 grad_norm: 5.4050 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2332 loss: 1.2332 2022/08/04 01:07:59 - mmengine - INFO - Epoch(train) [124][640/1879] lr: 2.0000e-03 eta: 12:41:14 time: 0.9366 data_time: 0.0385 memory: 11089 grad_norm: 5.3538 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2557 loss: 1.2557 2022/08/04 01:08:18 - mmengine - INFO - Epoch(train) [124][660/1879] lr: 2.0000e-03 eta: 12:40:56 time: 0.9310 data_time: 0.0328 memory: 11089 grad_norm: 5.3021 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3190 loss: 1.3190 2022/08/04 01:08:36 - mmengine - INFO - Epoch(train) [124][680/1879] lr: 2.0000e-03 eta: 12:40:38 time: 0.9252 data_time: 0.0320 memory: 11089 grad_norm: 5.4680 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4577 loss: 1.4577 2022/08/04 01:08:55 - mmengine - INFO - Epoch(train) [124][700/1879] lr: 2.0000e-03 eta: 12:40:19 time: 0.9282 data_time: 0.0311 memory: 11089 grad_norm: 5.4758 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4464 loss: 1.4464 2022/08/04 01:09:13 - mmengine - INFO - Epoch(train) [124][720/1879] lr: 2.0000e-03 eta: 12:40:01 time: 0.9132 data_time: 0.0260 memory: 11089 grad_norm: 5.3091 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1078 loss: 1.1078 2022/08/04 01:09:32 - mmengine - INFO - Epoch(train) [124][740/1879] lr: 2.0000e-03 eta: 12:39:43 time: 0.9288 data_time: 0.0318 memory: 11089 grad_norm: 5.0108 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2685 loss: 1.2685 2022/08/04 01:09:51 - mmengine - INFO - Epoch(train) [124][760/1879] lr: 2.0000e-03 eta: 12:39:25 time: 0.9396 data_time: 0.0309 memory: 11089 grad_norm: 5.2308 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1858 loss: 1.1858 2022/08/04 01:10:09 - mmengine - INFO - Epoch(train) [124][780/1879] lr: 2.0000e-03 eta: 12:39:07 time: 0.9068 data_time: 0.0239 memory: 11089 grad_norm: 5.3181 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.1244 loss: 1.1244 2022/08/04 01:10:27 - mmengine - INFO - Epoch(train) [124][800/1879] lr: 2.0000e-03 eta: 12:38:48 time: 0.9082 data_time: 0.0344 memory: 11089 grad_norm: 5.2509 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1331 loss: 1.1331 2022/08/04 01:10:46 - mmengine - INFO - Epoch(train) [124][820/1879] lr: 2.0000e-03 eta: 12:38:30 time: 0.9390 data_time: 0.0254 memory: 11089 grad_norm: 5.2562 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2697 loss: 1.2697 2022/08/04 01:11:04 - mmengine - INFO - Epoch(train) [124][840/1879] lr: 2.0000e-03 eta: 12:38:12 time: 0.9332 data_time: 0.0338 memory: 11089 grad_norm: 5.3700 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3395 loss: 1.3395 2022/08/04 01:11:23 - mmengine - INFO - Epoch(train) [124][860/1879] lr: 2.0000e-03 eta: 12:37:54 time: 0.9318 data_time: 0.0255 memory: 11089 grad_norm: 5.5270 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2899 loss: 1.2899 2022/08/04 01:11:42 - mmengine - INFO - Epoch(train) [124][880/1879] lr: 2.0000e-03 eta: 12:37:36 time: 0.9305 data_time: 0.0346 memory: 11089 grad_norm: 5.3502 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3651 loss: 1.3651 2022/08/04 01:11:45 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 01:12:00 - mmengine - INFO - Epoch(train) [124][900/1879] lr: 2.0000e-03 eta: 12:37:18 time: 0.9289 data_time: 0.0346 memory: 11089 grad_norm: 5.2802 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1786 loss: 1.1786 2022/08/04 01:12:18 - mmengine - INFO - Epoch(train) [124][920/1879] lr: 2.0000e-03 eta: 12:36:59 time: 0.8941 data_time: 0.0254 memory: 11089 grad_norm: 5.1975 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3272 loss: 1.3272 2022/08/04 01:12:36 - mmengine - INFO - Epoch(train) [124][940/1879] lr: 2.0000e-03 eta: 12:36:41 time: 0.9021 data_time: 0.0230 memory: 11089 grad_norm: 5.3310 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1690 loss: 1.1690 2022/08/04 01:12:55 - mmengine - INFO - Epoch(train) [124][960/1879] lr: 2.0000e-03 eta: 12:36:23 time: 0.9111 data_time: 0.0266 memory: 11089 grad_norm: 5.3179 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2809 loss: 1.2809 2022/08/04 01:13:14 - mmengine - INFO - Epoch(train) [124][980/1879] lr: 2.0000e-03 eta: 12:36:05 time: 0.9514 data_time: 0.0337 memory: 11089 grad_norm: 5.4285 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2797 loss: 1.2797 2022/08/04 01:13:32 - mmengine - INFO - Epoch(train) [124][1000/1879] lr: 2.0000e-03 eta: 12:35:47 time: 0.9073 data_time: 0.0323 memory: 11089 grad_norm: 5.3283 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1665 loss: 1.1665 2022/08/04 01:13:50 - mmengine - INFO - Epoch(train) [124][1020/1879] lr: 2.0000e-03 eta: 12:35:28 time: 0.9354 data_time: 0.0325 memory: 11089 grad_norm: 5.3789 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2298 loss: 1.2298 2022/08/04 01:14:08 - mmengine - INFO - Epoch(train) [124][1040/1879] lr: 2.0000e-03 eta: 12:35:10 time: 0.9052 data_time: 0.0286 memory: 11089 grad_norm: 5.4439 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1819 loss: 1.1819 2022/08/04 01:14:27 - mmengine - INFO - Epoch(train) [124][1060/1879] lr: 2.0000e-03 eta: 12:34:52 time: 0.9095 data_time: 0.0280 memory: 11089 grad_norm: 5.3500 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2301 loss: 1.2301 2022/08/04 01:14:45 - mmengine - INFO - Epoch(train) [124][1080/1879] lr: 2.0000e-03 eta: 12:34:34 time: 0.9050 data_time: 0.0279 memory: 11089 grad_norm: 5.3717 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1684 loss: 1.1684 2022/08/04 01:15:03 - mmengine - INFO - Epoch(train) [124][1100/1879] lr: 2.0000e-03 eta: 12:34:16 time: 0.9266 data_time: 0.0341 memory: 11089 grad_norm: 5.4793 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.1792 loss: 1.1792 2022/08/04 01:15:22 - mmengine - INFO - Epoch(train) [124][1120/1879] lr: 2.0000e-03 eta: 12:33:57 time: 0.9240 data_time: 0.0271 memory: 11089 grad_norm: 5.2620 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3537 loss: 1.3537 2022/08/04 01:15:41 - mmengine - INFO - Epoch(train) [124][1140/1879] lr: 2.0000e-03 eta: 12:33:39 time: 0.9364 data_time: 0.0392 memory: 11089 grad_norm: 5.4611 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2801 loss: 1.2801 2022/08/04 01:15:59 - mmengine - INFO - Epoch(train) [124][1160/1879] lr: 2.0000e-03 eta: 12:33:21 time: 0.9096 data_time: 0.0235 memory: 11089 grad_norm: 5.3032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3939 loss: 1.3939 2022/08/04 01:16:17 - mmengine - INFO - Epoch(train) [124][1180/1879] lr: 2.0000e-03 eta: 12:33:03 time: 0.9169 data_time: 0.0275 memory: 11089 grad_norm: 5.3958 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2390 loss: 1.2390 2022/08/04 01:16:36 - mmengine - INFO - Epoch(train) [124][1200/1879] lr: 2.0000e-03 eta: 12:32:45 time: 0.9232 data_time: 0.0319 memory: 11089 grad_norm: 5.3530 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2541 loss: 1.2541 2022/08/04 01:16:54 - mmengine - INFO - Epoch(train) [124][1220/1879] lr: 2.0000e-03 eta: 12:32:26 time: 0.9257 data_time: 0.0244 memory: 11089 grad_norm: 5.3724 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1960 loss: 1.1960 2022/08/04 01:17:12 - mmengine - INFO - Epoch(train) [124][1240/1879] lr: 2.0000e-03 eta: 12:32:08 time: 0.9051 data_time: 0.0233 memory: 11089 grad_norm: 5.2202 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0985 loss: 1.0985 2022/08/04 01:17:31 - mmengine - INFO - Epoch(train) [124][1260/1879] lr: 2.0000e-03 eta: 12:31:50 time: 0.9303 data_time: 0.0238 memory: 11089 grad_norm: 5.4071 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3543 loss: 1.3543 2022/08/04 01:17:49 - mmengine - INFO - Epoch(train) [124][1280/1879] lr: 2.0000e-03 eta: 12:31:32 time: 0.9179 data_time: 0.0234 memory: 11089 grad_norm: 5.3141 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3210 loss: 1.3210 2022/08/04 01:18:07 - mmengine - INFO - Epoch(train) [124][1300/1879] lr: 2.0000e-03 eta: 12:31:13 time: 0.9104 data_time: 0.0281 memory: 11089 grad_norm: 5.3567 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1982 loss: 1.1982 2022/08/04 01:18:26 - mmengine - INFO - Epoch(train) [124][1320/1879] lr: 2.0000e-03 eta: 12:30:55 time: 0.9297 data_time: 0.0342 memory: 11089 grad_norm: 5.2443 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1025 loss: 1.1025 2022/08/04 01:18:45 - mmengine - INFO - Epoch(train) [124][1340/1879] lr: 2.0000e-03 eta: 12:30:37 time: 0.9379 data_time: 0.0297 memory: 11089 grad_norm: 5.2624 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3203 loss: 1.3203 2022/08/04 01:19:03 - mmengine - INFO - Epoch(train) [124][1360/1879] lr: 2.0000e-03 eta: 12:30:19 time: 0.9317 data_time: 0.0338 memory: 11089 grad_norm: 5.3723 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2895 loss: 1.2895 2022/08/04 01:19:22 - mmengine - INFO - Epoch(train) [124][1380/1879] lr: 2.0000e-03 eta: 12:30:01 time: 0.9431 data_time: 0.0308 memory: 11089 grad_norm: 5.2979 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4496 loss: 1.4496 2022/08/04 01:19:41 - mmengine - INFO - Epoch(train) [124][1400/1879] lr: 2.0000e-03 eta: 12:29:43 time: 0.9376 data_time: 0.0379 memory: 11089 grad_norm: 5.3926 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3426 loss: 1.3426 2022/08/04 01:20:00 - mmengine - INFO - Epoch(train) [124][1420/1879] lr: 2.0000e-03 eta: 12:29:25 time: 0.9280 data_time: 0.0335 memory: 11089 grad_norm: 5.4298 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3360 loss: 1.3360 2022/08/04 01:20:18 - mmengine - INFO - Epoch(train) [124][1440/1879] lr: 2.0000e-03 eta: 12:29:06 time: 0.9171 data_time: 0.0302 memory: 11089 grad_norm: 5.3711 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3316 loss: 1.3316 2022/08/04 01:20:37 - mmengine - INFO - Epoch(train) [124][1460/1879] lr: 2.0000e-03 eta: 12:28:48 time: 0.9385 data_time: 0.0323 memory: 11089 grad_norm: 5.3065 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1828 loss: 1.1828 2022/08/04 01:20:55 - mmengine - INFO - Epoch(train) [124][1480/1879] lr: 2.0000e-03 eta: 12:28:30 time: 0.9119 data_time: 0.0239 memory: 11089 grad_norm: 5.3452 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3353 loss: 1.3353 2022/08/04 01:21:14 - mmengine - INFO - Epoch(train) [124][1500/1879] lr: 2.0000e-03 eta: 12:28:12 time: 0.9338 data_time: 0.0290 memory: 11089 grad_norm: 5.3740 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2258 loss: 1.2258 2022/08/04 01:21:32 - mmengine - INFO - Epoch(train) [124][1520/1879] lr: 2.0000e-03 eta: 12:27:54 time: 0.9382 data_time: 0.0251 memory: 11089 grad_norm: 5.2759 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4822 loss: 1.4822 2022/08/04 01:21:50 - mmengine - INFO - Epoch(train) [124][1540/1879] lr: 2.0000e-03 eta: 12:27:35 time: 0.8918 data_time: 0.0194 memory: 11089 grad_norm: 5.3733 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2976 loss: 1.2976 2022/08/04 01:22:08 - mmengine - INFO - Epoch(train) [124][1560/1879] lr: 2.0000e-03 eta: 12:27:17 time: 0.9114 data_time: 0.0310 memory: 11089 grad_norm: 5.4600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4024 loss: 1.4024 2022/08/04 01:22:26 - mmengine - INFO - Epoch(train) [124][1580/1879] lr: 2.0000e-03 eta: 12:26:59 time: 0.8935 data_time: 0.0270 memory: 11089 grad_norm: 5.1856 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2234 loss: 1.2234 2022/08/04 01:22:44 - mmengine - INFO - Epoch(train) [124][1600/1879] lr: 2.0000e-03 eta: 12:26:41 time: 0.9025 data_time: 0.0334 memory: 11089 grad_norm: 5.4653 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2409 loss: 1.2409 2022/08/04 01:23:03 - mmengine - INFO - Epoch(train) [124][1620/1879] lr: 2.0000e-03 eta: 12:26:23 time: 0.9309 data_time: 0.0320 memory: 11089 grad_norm: 5.3388 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1984 loss: 1.1984 2022/08/04 01:23:21 - mmengine - INFO - Epoch(train) [124][1640/1879] lr: 2.0000e-03 eta: 12:26:04 time: 0.9040 data_time: 0.0219 memory: 11089 grad_norm: 5.3767 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2610 loss: 1.2610 2022/08/04 01:23:39 - mmengine - INFO - Epoch(train) [124][1660/1879] lr: 2.0000e-03 eta: 12:25:46 time: 0.9027 data_time: 0.0279 memory: 11089 grad_norm: 5.4105 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3014 loss: 1.3014 2022/08/04 01:23:58 - mmengine - INFO - Epoch(train) [124][1680/1879] lr: 2.0000e-03 eta: 12:25:28 time: 0.9245 data_time: 0.0282 memory: 11089 grad_norm: 5.3476 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4695 loss: 1.4695 2022/08/04 01:24:16 - mmengine - INFO - Epoch(train) [124][1700/1879] lr: 2.0000e-03 eta: 12:25:10 time: 0.9060 data_time: 0.0270 memory: 11089 grad_norm: 5.2936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1131 loss: 1.1131 2022/08/04 01:24:34 - mmengine - INFO - Epoch(train) [124][1720/1879] lr: 2.0000e-03 eta: 12:24:51 time: 0.9309 data_time: 0.0299 memory: 11089 grad_norm: 5.4658 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4403 loss: 1.4403 2022/08/04 01:24:53 - mmengine - INFO - Epoch(train) [124][1740/1879] lr: 2.0000e-03 eta: 12:24:33 time: 0.9224 data_time: 0.0281 memory: 11089 grad_norm: 5.4589 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3149 loss: 1.3149 2022/08/04 01:25:11 - mmengine - INFO - Epoch(train) [124][1760/1879] lr: 2.0000e-03 eta: 12:24:15 time: 0.9240 data_time: 0.0303 memory: 11089 grad_norm: 5.3387 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.3246 loss: 1.3246 2022/08/04 01:25:30 - mmengine - INFO - Epoch(train) [124][1780/1879] lr: 2.0000e-03 eta: 12:23:57 time: 0.9313 data_time: 0.0230 memory: 11089 grad_norm: 5.1625 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4030 loss: 1.4030 2022/08/04 01:25:48 - mmengine - INFO - Epoch(train) [124][1800/1879] lr: 2.0000e-03 eta: 12:23:39 time: 0.9111 data_time: 0.0297 memory: 11089 grad_norm: 5.3062 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3240 loss: 1.3240 2022/08/04 01:26:07 - mmengine - INFO - Epoch(train) [124][1820/1879] lr: 2.0000e-03 eta: 12:23:20 time: 0.9158 data_time: 0.0250 memory: 11089 grad_norm: 5.6085 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3198 loss: 1.3198 2022/08/04 01:26:25 - mmengine - INFO - Epoch(train) [124][1840/1879] lr: 2.0000e-03 eta: 12:23:02 time: 0.9052 data_time: 0.0287 memory: 11089 grad_norm: 5.5404 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2459 loss: 1.2459 2022/08/04 01:26:43 - mmengine - INFO - Epoch(train) [124][1860/1879] lr: 2.0000e-03 eta: 12:22:44 time: 0.9249 data_time: 0.0253 memory: 11089 grad_norm: 5.2903 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2497 loss: 1.2497 2022/08/04 01:27:00 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 01:27:00 - mmengine - INFO - Epoch(train) [124][1879/1879] lr: 2.0000e-03 eta: 12:22:44 time: 0.8833 data_time: 0.0230 memory: 11089 grad_norm: 5.6059 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2189 loss: 1.2189 2022/08/04 01:27:00 - mmengine - INFO - Saving checkpoint at 124 epochs 2022/08/04 01:27:08 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 01:27:23 - mmengine - INFO - Epoch(train) [125][20/1879] lr: 2.0000e-03 eta: 12:22:05 time: 1.0030 data_time: 0.1139 memory: 11089 grad_norm: 5.4146 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2536 loss: 1.2536 2022/08/04 01:27:42 - mmengine - INFO - Epoch(train) [125][40/1879] lr: 2.0000e-03 eta: 12:21:47 time: 0.9384 data_time: 0.0313 memory: 11089 grad_norm: 5.3590 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3634 loss: 1.3634 2022/08/04 01:28:00 - mmengine - INFO - Epoch(train) [125][60/1879] lr: 2.0000e-03 eta: 12:21:29 time: 0.9123 data_time: 0.0305 memory: 11089 grad_norm: 5.2486 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1896 loss: 1.1896 2022/08/04 01:28:18 - mmengine - INFO - Epoch(train) [125][80/1879] lr: 2.0000e-03 eta: 12:21:11 time: 0.9187 data_time: 0.0317 memory: 11089 grad_norm: 5.3162 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2621 loss: 1.2621 2022/08/04 01:28:37 - mmengine - INFO - Epoch(train) [125][100/1879] lr: 2.0000e-03 eta: 12:20:52 time: 0.9352 data_time: 0.0311 memory: 11089 grad_norm: 5.4948 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1272 loss: 1.1272 2022/08/04 01:28:56 - mmengine - INFO - Epoch(train) [125][120/1879] lr: 2.0000e-03 eta: 12:20:34 time: 0.9461 data_time: 0.0264 memory: 11089 grad_norm: 5.2366 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2621 loss: 1.2621 2022/08/04 01:29:14 - mmengine - INFO - Epoch(train) [125][140/1879] lr: 2.0000e-03 eta: 12:20:16 time: 0.9176 data_time: 0.0278 memory: 11089 grad_norm: 5.3722 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2476 loss: 1.2476 2022/08/04 01:29:33 - mmengine - INFO - Epoch(train) [125][160/1879] lr: 2.0000e-03 eta: 12:19:58 time: 0.9291 data_time: 0.0323 memory: 11089 grad_norm: 5.5420 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3504 loss: 1.3504 2022/08/04 01:29:51 - mmengine - INFO - Epoch(train) [125][180/1879] lr: 2.0000e-03 eta: 12:19:40 time: 0.9052 data_time: 0.0274 memory: 11089 grad_norm: 5.2221 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2814 loss: 1.2814 2022/08/04 01:30:09 - mmengine - INFO - Epoch(train) [125][200/1879] lr: 2.0000e-03 eta: 12:19:21 time: 0.9032 data_time: 0.0288 memory: 11089 grad_norm: 5.1927 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1762 loss: 1.1762 2022/08/04 01:30:28 - mmengine - INFO - Epoch(train) [125][220/1879] lr: 2.0000e-03 eta: 12:19:03 time: 0.9421 data_time: 0.0226 memory: 11089 grad_norm: 5.5011 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2619 loss: 1.2619 2022/08/04 01:30:46 - mmengine - INFO - Epoch(train) [125][240/1879] lr: 2.0000e-03 eta: 12:18:45 time: 0.9176 data_time: 0.0271 memory: 11089 grad_norm: 5.3406 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3645 loss: 1.3645 2022/08/04 01:31:04 - mmengine - INFO - Epoch(train) [125][260/1879] lr: 2.0000e-03 eta: 12:18:27 time: 0.9143 data_time: 0.0253 memory: 11089 grad_norm: 5.4333 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1797 loss: 1.1797 2022/08/04 01:31:23 - mmengine - INFO - Epoch(train) [125][280/1879] lr: 2.0000e-03 eta: 12:18:09 time: 0.9336 data_time: 0.0236 memory: 11089 grad_norm: 5.4988 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1147 loss: 1.1147 2022/08/04 01:31:42 - mmengine - INFO - Epoch(train) [125][300/1879] lr: 2.0000e-03 eta: 12:17:51 time: 0.9274 data_time: 0.0291 memory: 11089 grad_norm: 5.2677 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4282 loss: 1.4282 2022/08/04 01:32:00 - mmengine - INFO - Epoch(train) [125][320/1879] lr: 2.0000e-03 eta: 12:17:32 time: 0.8978 data_time: 0.0236 memory: 11089 grad_norm: 5.4968 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3274 loss: 1.3274 2022/08/04 01:32:18 - mmengine - INFO - Epoch(train) [125][340/1879] lr: 2.0000e-03 eta: 12:17:14 time: 0.9220 data_time: 0.0305 memory: 11089 grad_norm: 5.2850 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2357 loss: 1.2357 2022/08/04 01:32:37 - mmengine - INFO - Epoch(train) [125][360/1879] lr: 2.0000e-03 eta: 12:16:56 time: 0.9484 data_time: 0.0275 memory: 11089 grad_norm: 5.3100 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2506 loss: 1.2506 2022/08/04 01:32:56 - mmengine - INFO - Epoch(train) [125][380/1879] lr: 2.0000e-03 eta: 12:16:38 time: 0.9244 data_time: 0.0315 memory: 11089 grad_norm: 5.2263 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0572 loss: 1.0572 2022/08/04 01:33:14 - mmengine - INFO - Epoch(train) [125][400/1879] lr: 2.0000e-03 eta: 12:16:20 time: 0.9378 data_time: 0.0270 memory: 11089 grad_norm: 5.2948 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2985 loss: 1.2985 2022/08/04 01:33:33 - mmengine - INFO - Epoch(train) [125][420/1879] lr: 2.0000e-03 eta: 12:16:02 time: 0.9359 data_time: 0.0327 memory: 11089 grad_norm: 5.5362 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4143 loss: 1.4143 2022/08/04 01:33:51 - mmengine - INFO - Epoch(train) [125][440/1879] lr: 2.0000e-03 eta: 12:15:43 time: 0.9086 data_time: 0.0229 memory: 11089 grad_norm: 5.4563 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3566 loss: 1.3566 2022/08/04 01:34:09 - mmengine - INFO - Epoch(train) [125][460/1879] lr: 2.0000e-03 eta: 12:15:25 time: 0.9077 data_time: 0.0304 memory: 11089 grad_norm: 5.4231 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2344 loss: 1.2344 2022/08/04 01:34:28 - mmengine - INFO - Epoch(train) [125][480/1879] lr: 2.0000e-03 eta: 12:15:07 time: 0.9109 data_time: 0.0239 memory: 11089 grad_norm: 5.2726 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0874 loss: 1.0874 2022/08/04 01:34:46 - mmengine - INFO - Epoch(train) [125][500/1879] lr: 2.0000e-03 eta: 12:14:49 time: 0.9220 data_time: 0.0272 memory: 11089 grad_norm: 5.3273 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2543 loss: 1.2543 2022/08/04 01:35:04 - mmengine - INFO - Epoch(train) [125][520/1879] lr: 2.0000e-03 eta: 12:14:30 time: 0.8982 data_time: 0.0266 memory: 11089 grad_norm: 5.3402 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1394 loss: 1.1394 2022/08/04 01:35:22 - mmengine - INFO - Epoch(train) [125][540/1879] lr: 2.0000e-03 eta: 12:14:12 time: 0.9043 data_time: 0.0246 memory: 11089 grad_norm: 5.2703 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1497 loss: 1.1497 2022/08/04 01:35:41 - mmengine - INFO - Epoch(train) [125][560/1879] lr: 2.0000e-03 eta: 12:13:54 time: 0.9208 data_time: 0.0284 memory: 11089 grad_norm: 5.5627 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3106 loss: 1.3106 2022/08/04 01:35:59 - mmengine - INFO - Epoch(train) [125][580/1879] lr: 2.0000e-03 eta: 12:13:36 time: 0.9121 data_time: 0.0224 memory: 11089 grad_norm: 5.3140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3375 loss: 1.3375 2022/08/04 01:36:17 - mmengine - INFO - Epoch(train) [125][600/1879] lr: 2.0000e-03 eta: 12:13:17 time: 0.9048 data_time: 0.0306 memory: 11089 grad_norm: 5.3781 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3088 loss: 1.3088 2022/08/04 01:36:35 - mmengine - INFO - Epoch(train) [125][620/1879] lr: 2.0000e-03 eta: 12:12:59 time: 0.9091 data_time: 0.0269 memory: 11089 grad_norm: 5.3571 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2756 loss: 1.2756 2022/08/04 01:36:53 - mmengine - INFO - Epoch(train) [125][640/1879] lr: 2.0000e-03 eta: 12:12:41 time: 0.9017 data_time: 0.0270 memory: 11089 grad_norm: 5.3357 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2272 loss: 1.2272 2022/08/04 01:37:12 - mmengine - INFO - Epoch(train) [125][660/1879] lr: 2.0000e-03 eta: 12:12:23 time: 0.9468 data_time: 0.0305 memory: 11089 grad_norm: 5.3914 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3163 loss: 1.3163 2022/08/04 01:37:30 - mmengine - INFO - Epoch(train) [125][680/1879] lr: 2.0000e-03 eta: 12:12:04 time: 0.9150 data_time: 0.0232 memory: 11089 grad_norm: 5.4150 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0896 loss: 1.0896 2022/08/04 01:37:49 - mmengine - INFO - Epoch(train) [125][700/1879] lr: 2.0000e-03 eta: 12:11:46 time: 0.9460 data_time: 0.0325 memory: 11089 grad_norm: 5.3715 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1290 loss: 1.1290 2022/08/04 01:38:08 - mmengine - INFO - Epoch(train) [125][720/1879] lr: 2.0000e-03 eta: 12:11:28 time: 0.9254 data_time: 0.0266 memory: 11089 grad_norm: 5.5436 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2930 loss: 1.2930 2022/08/04 01:38:26 - mmengine - INFO - Epoch(train) [125][740/1879] lr: 2.0000e-03 eta: 12:11:10 time: 0.9328 data_time: 0.0251 memory: 11089 grad_norm: 5.2860 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0830 loss: 1.0830 2022/08/04 01:38:45 - mmengine - INFO - Epoch(train) [125][760/1879] lr: 2.0000e-03 eta: 12:10:52 time: 0.9317 data_time: 0.0259 memory: 11089 grad_norm: 5.5559 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3167 loss: 1.3167 2022/08/04 01:39:04 - mmengine - INFO - Epoch(train) [125][780/1879] lr: 2.0000e-03 eta: 12:10:34 time: 0.9276 data_time: 0.0311 memory: 11089 grad_norm: 5.3668 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2178 loss: 1.2178 2022/08/04 01:39:22 - mmengine - INFO - Epoch(train) [125][800/1879] lr: 2.0000e-03 eta: 12:10:16 time: 0.9174 data_time: 0.0264 memory: 11089 grad_norm: 5.3043 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3776 loss: 1.3776 2022/08/04 01:39:40 - mmengine - INFO - Epoch(train) [125][820/1879] lr: 2.0000e-03 eta: 12:09:57 time: 0.9019 data_time: 0.0212 memory: 11089 grad_norm: 5.3123 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4394 loss: 1.4394 2022/08/04 01:39:58 - mmengine - INFO - Epoch(train) [125][840/1879] lr: 2.0000e-03 eta: 12:09:39 time: 0.9133 data_time: 0.0262 memory: 11089 grad_norm: 5.3604 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3901 loss: 1.3901 2022/08/04 01:40:17 - mmengine - INFO - Epoch(train) [125][860/1879] lr: 2.0000e-03 eta: 12:09:21 time: 0.9186 data_time: 0.0287 memory: 11089 grad_norm: 5.3802 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1785 loss: 1.1785 2022/08/04 01:40:35 - mmengine - INFO - Epoch(train) [125][880/1879] lr: 2.0000e-03 eta: 12:09:03 time: 0.9312 data_time: 0.0280 memory: 11089 grad_norm: 5.3650 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3265 loss: 1.3265 2022/08/04 01:40:54 - mmengine - INFO - Epoch(train) [125][900/1879] lr: 2.0000e-03 eta: 12:08:45 time: 0.9435 data_time: 0.0305 memory: 11089 grad_norm: 5.3844 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2207 loss: 1.2207 2022/08/04 01:41:12 - mmengine - INFO - Epoch(train) [125][920/1879] lr: 2.0000e-03 eta: 12:08:26 time: 0.9121 data_time: 0.0333 memory: 11089 grad_norm: 5.3230 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3130 loss: 1.3130 2022/08/04 01:41:31 - mmengine - INFO - Epoch(train) [125][940/1879] lr: 2.0000e-03 eta: 12:08:08 time: 0.9225 data_time: 0.0312 memory: 11089 grad_norm: 5.3398 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2927 loss: 1.2927 2022/08/04 01:41:50 - mmengine - INFO - Epoch(train) [125][960/1879] lr: 2.0000e-03 eta: 12:07:50 time: 0.9382 data_time: 0.0287 memory: 11089 grad_norm: 5.2412 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2900 loss: 1.2900 2022/08/04 01:42:08 - mmengine - INFO - Epoch(train) [125][980/1879] lr: 2.0000e-03 eta: 12:07:32 time: 0.9312 data_time: 0.0331 memory: 11089 grad_norm: 5.3303 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2375 loss: 1.2375 2022/08/04 01:42:27 - mmengine - INFO - Epoch(train) [125][1000/1879] lr: 2.0000e-03 eta: 12:07:14 time: 0.9169 data_time: 0.0302 memory: 11089 grad_norm: 5.4457 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3507 loss: 1.3507 2022/08/04 01:42:30 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 01:42:45 - mmengine - INFO - Epoch(train) [125][1020/1879] lr: 2.0000e-03 eta: 12:06:56 time: 0.9399 data_time: 0.0252 memory: 11089 grad_norm: 5.4696 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2726 loss: 1.2726 2022/08/04 01:43:04 - mmengine - INFO - Epoch(train) [125][1040/1879] lr: 2.0000e-03 eta: 12:06:37 time: 0.9220 data_time: 0.0291 memory: 11089 grad_norm: 5.2026 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2477 loss: 1.2477 2022/08/04 01:43:23 - mmengine - INFO - Epoch(train) [125][1060/1879] lr: 2.0000e-03 eta: 12:06:19 time: 0.9489 data_time: 0.0217 memory: 11089 grad_norm: 5.2811 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1259 loss: 1.1259 2022/08/04 01:43:42 - mmengine - INFO - Epoch(train) [125][1080/1879] lr: 2.0000e-03 eta: 12:06:01 time: 0.9406 data_time: 0.0300 memory: 11089 grad_norm: 5.3270 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2705 loss: 1.2705 2022/08/04 01:44:00 - mmengine - INFO - Epoch(train) [125][1100/1879] lr: 2.0000e-03 eta: 12:05:43 time: 0.9102 data_time: 0.0282 memory: 11089 grad_norm: 5.4445 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3673 loss: 1.3673 2022/08/04 01:44:19 - mmengine - INFO - Epoch(train) [125][1120/1879] lr: 2.0000e-03 eta: 12:05:25 time: 0.9448 data_time: 0.0260 memory: 11089 grad_norm: 5.4264 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3998 loss: 1.3998 2022/08/04 01:44:38 - mmengine - INFO - Epoch(train) [125][1140/1879] lr: 2.0000e-03 eta: 12:05:07 time: 0.9515 data_time: 0.0399 memory: 11089 grad_norm: 5.5276 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2946 loss: 1.2946 2022/08/04 01:44:56 - mmengine - INFO - Epoch(train) [125][1160/1879] lr: 2.0000e-03 eta: 12:04:49 time: 0.9283 data_time: 0.0349 memory: 11089 grad_norm: 5.5937 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3136 loss: 1.3136 2022/08/04 01:45:15 - mmengine - INFO - Epoch(train) [125][1180/1879] lr: 2.0000e-03 eta: 12:04:30 time: 0.9198 data_time: 0.0323 memory: 11089 grad_norm: 5.4511 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1575 loss: 1.1575 2022/08/04 01:45:33 - mmengine - INFO - Epoch(train) [125][1200/1879] lr: 2.0000e-03 eta: 12:04:12 time: 0.9212 data_time: 0.0280 memory: 11089 grad_norm: 5.4140 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4512 loss: 1.4512 2022/08/04 01:45:52 - mmengine - INFO - Epoch(train) [125][1220/1879] lr: 2.0000e-03 eta: 12:03:54 time: 0.9312 data_time: 0.0284 memory: 11089 grad_norm: 5.3580 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3865 loss: 1.3865 2022/08/04 01:46:10 - mmengine - INFO - Epoch(train) [125][1240/1879] lr: 2.0000e-03 eta: 12:03:36 time: 0.9002 data_time: 0.0265 memory: 11089 grad_norm: 5.4386 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2397 loss: 1.2397 2022/08/04 01:46:29 - mmengine - INFO - Epoch(train) [125][1260/1879] lr: 2.0000e-03 eta: 12:03:18 time: 0.9345 data_time: 0.0266 memory: 11089 grad_norm: 5.3175 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3464 loss: 1.3464 2022/08/04 01:46:47 - mmengine - INFO - Epoch(train) [125][1280/1879] lr: 2.0000e-03 eta: 12:02:59 time: 0.9168 data_time: 0.0353 memory: 11089 grad_norm: 5.3767 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1156 loss: 1.1156 2022/08/04 01:47:05 - mmengine - INFO - Epoch(train) [125][1300/1879] lr: 2.0000e-03 eta: 12:02:41 time: 0.9014 data_time: 0.0245 memory: 11089 grad_norm: 5.3153 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1480 loss: 1.1480 2022/08/04 01:47:23 - mmengine - INFO - Epoch(train) [125][1320/1879] lr: 2.0000e-03 eta: 12:02:23 time: 0.9130 data_time: 0.0259 memory: 11089 grad_norm: 5.3093 top1_acc: 0.4375 top5_acc: 1.0000 loss_cls: 1.2519 loss: 1.2519 2022/08/04 01:47:42 - mmengine - INFO - Epoch(train) [125][1340/1879] lr: 2.0000e-03 eta: 12:02:05 time: 0.9437 data_time: 0.0277 memory: 11089 grad_norm: 5.4183 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1579 loss: 1.1579 2022/08/04 01:48:01 - mmengine - INFO - Epoch(train) [125][1360/1879] lr: 2.0000e-03 eta: 12:01:47 time: 0.9365 data_time: 0.0269 memory: 11089 grad_norm: 5.4497 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3281 loss: 1.3281 2022/08/04 01:48:19 - mmengine - INFO - Epoch(train) [125][1380/1879] lr: 2.0000e-03 eta: 12:01:28 time: 0.9107 data_time: 0.0275 memory: 11089 grad_norm: 5.3167 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2724 loss: 1.2724 2022/08/04 01:48:37 - mmengine - INFO - Epoch(train) [125][1400/1879] lr: 2.0000e-03 eta: 12:01:10 time: 0.9039 data_time: 0.0226 memory: 11089 grad_norm: 5.4632 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3407 loss: 1.3407 2022/08/04 01:48:55 - mmengine - INFO - Epoch(train) [125][1420/1879] lr: 2.0000e-03 eta: 12:00:52 time: 0.8956 data_time: 0.0237 memory: 11089 grad_norm: 5.3153 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2893 loss: 1.2893 2022/08/04 01:49:14 - mmengine - INFO - Epoch(train) [125][1440/1879] lr: 2.0000e-03 eta: 12:00:34 time: 0.9254 data_time: 0.0282 memory: 11089 grad_norm: 5.3351 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3405 loss: 1.3405 2022/08/04 01:49:32 - mmengine - INFO - Epoch(train) [125][1460/1879] lr: 2.0000e-03 eta: 12:00:15 time: 0.9114 data_time: 0.0301 memory: 11089 grad_norm: 5.4579 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2802 loss: 1.2802 2022/08/04 01:49:50 - mmengine - INFO - Epoch(train) [125][1480/1879] lr: 2.0000e-03 eta: 11:59:57 time: 0.9119 data_time: 0.0325 memory: 11089 grad_norm: 5.4690 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2890 loss: 1.2890 2022/08/04 01:50:08 - mmengine - INFO - Epoch(train) [125][1500/1879] lr: 2.0000e-03 eta: 11:59:39 time: 0.9063 data_time: 0.0294 memory: 11089 grad_norm: 5.5763 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1588 loss: 1.1588 2022/08/04 01:50:26 - mmengine - INFO - Epoch(train) [125][1520/1879] lr: 2.0000e-03 eta: 11:59:21 time: 0.9026 data_time: 0.0229 memory: 11089 grad_norm: 5.5950 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2439 loss: 1.2439 2022/08/04 01:50:44 - mmengine - INFO - Epoch(train) [125][1540/1879] lr: 2.0000e-03 eta: 11:59:02 time: 0.9035 data_time: 0.0232 memory: 11089 grad_norm: 5.3278 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2954 loss: 1.2954 2022/08/04 01:51:03 - mmengine - INFO - Epoch(train) [125][1560/1879] lr: 2.0000e-03 eta: 11:58:44 time: 0.9314 data_time: 0.0287 memory: 11089 grad_norm: 5.4503 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2065 loss: 1.2065 2022/08/04 01:51:21 - mmengine - INFO - Epoch(train) [125][1580/1879] lr: 2.0000e-03 eta: 11:58:26 time: 0.9065 data_time: 0.0261 memory: 11089 grad_norm: 5.4018 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3515 loss: 1.3515 2022/08/04 01:51:40 - mmengine - INFO - Epoch(train) [125][1600/1879] lr: 2.0000e-03 eta: 11:58:08 time: 0.9177 data_time: 0.0326 memory: 11089 grad_norm: 5.3560 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1611 loss: 1.1611 2022/08/04 01:51:58 - mmengine - INFO - Epoch(train) [125][1620/1879] lr: 2.0000e-03 eta: 11:57:49 time: 0.9297 data_time: 0.0320 memory: 11089 grad_norm: 5.3849 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3463 loss: 1.3463 2022/08/04 01:52:16 - mmengine - INFO - Epoch(train) [125][1640/1879] lr: 2.0000e-03 eta: 11:57:31 time: 0.9119 data_time: 0.0287 memory: 11089 grad_norm: 5.3438 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2515 loss: 1.2515 2022/08/04 01:52:35 - mmengine - INFO - Epoch(train) [125][1660/1879] lr: 2.0000e-03 eta: 11:57:13 time: 0.9215 data_time: 0.0216 memory: 11089 grad_norm: 5.4127 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1863 loss: 1.1863 2022/08/04 01:52:53 - mmengine - INFO - Epoch(train) [125][1680/1879] lr: 2.0000e-03 eta: 11:56:55 time: 0.9145 data_time: 0.0300 memory: 11089 grad_norm: 5.4206 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4670 loss: 1.4670 2022/08/04 01:53:11 - mmengine - INFO - Epoch(train) [125][1700/1879] lr: 2.0000e-03 eta: 11:56:37 time: 0.9125 data_time: 0.0262 memory: 11089 grad_norm: 5.5359 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4371 loss: 1.4371 2022/08/04 01:53:29 - mmengine - INFO - Epoch(train) [125][1720/1879] lr: 2.0000e-03 eta: 11:56:18 time: 0.8915 data_time: 0.0273 memory: 11089 grad_norm: 5.3999 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2028 loss: 1.2028 2022/08/04 01:53:48 - mmengine - INFO - Epoch(train) [125][1740/1879] lr: 2.0000e-03 eta: 11:56:00 time: 0.9373 data_time: 0.0265 memory: 11089 grad_norm: 5.4764 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4119 loss: 1.4119 2022/08/04 01:54:06 - mmengine - INFO - Epoch(train) [125][1760/1879] lr: 2.0000e-03 eta: 11:55:42 time: 0.9165 data_time: 0.0246 memory: 11089 grad_norm: 5.3510 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2209 loss: 1.2209 2022/08/04 01:54:25 - mmengine - INFO - Epoch(train) [125][1780/1879] lr: 2.0000e-03 eta: 11:55:24 time: 0.9123 data_time: 0.0260 memory: 11089 grad_norm: 5.4418 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3872 loss: 1.3872 2022/08/04 01:54:43 - mmengine - INFO - Epoch(train) [125][1800/1879] lr: 2.0000e-03 eta: 11:55:05 time: 0.9101 data_time: 0.0294 memory: 11089 grad_norm: 5.5324 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2933 loss: 1.2933 2022/08/04 01:55:01 - mmengine - INFO - Epoch(train) [125][1820/1879] lr: 2.0000e-03 eta: 11:54:47 time: 0.9164 data_time: 0.0324 memory: 11089 grad_norm: 5.3371 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3454 loss: 1.3454 2022/08/04 01:55:19 - mmengine - INFO - Epoch(train) [125][1840/1879] lr: 2.0000e-03 eta: 11:54:29 time: 0.9205 data_time: 0.0318 memory: 11089 grad_norm: 5.3977 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2568 loss: 1.2568 2022/08/04 01:55:38 - mmengine - INFO - Epoch(train) [125][1860/1879] lr: 2.0000e-03 eta: 11:54:11 time: 0.9368 data_time: 0.0311 memory: 11089 grad_norm: 5.5823 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3143 loss: 1.3143 2022/08/04 01:55:56 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 01:55:56 - mmengine - INFO - Epoch(train) [125][1879/1879] lr: 2.0000e-03 eta: 11:54:11 time: 0.9092 data_time: 0.0259 memory: 11089 grad_norm: 5.5026 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.2939 loss: 1.2939 2022/08/04 01:56:06 - mmengine - INFO - Epoch(val) [125][20/155] eta: 0:01:07 time: 0.5006 data_time: 0.1774 memory: 1950 2022/08/04 01:56:12 - mmengine - INFO - Epoch(val) [125][40/155] eta: 0:00:38 time: 0.3377 data_time: 0.0153 memory: 1950 2022/08/04 01:56:19 - mmengine - INFO - Epoch(val) [125][60/155] eta: 0:00:31 time: 0.3315 data_time: 0.0132 memory: 1950 2022/08/04 01:56:26 - mmengine - INFO - Epoch(val) [125][80/155] eta: 0:00:24 time: 0.3265 data_time: 0.0121 memory: 1950 2022/08/04 01:56:32 - mmengine - INFO - Epoch(val) [125][100/155] eta: 0:00:18 time: 0.3342 data_time: 0.0153 memory: 1950 2022/08/04 01:56:39 - mmengine - INFO - Epoch(val) [125][120/155] eta: 0:00:11 time: 0.3288 data_time: 0.0129 memory: 1950 2022/08/04 01:56:46 - mmengine - INFO - Epoch(val) [125][140/155] eta: 0:00:05 time: 0.3731 data_time: 0.0093 memory: 1950 2022/08/04 01:56:53 - mmengine - INFO - Epoch(val) [125][155/155] acc/top1: 0.6887 acc/top5: 0.8799 acc/mean1: 0.6886 2022/08/04 01:57:14 - mmengine - INFO - Epoch(train) [126][20/1879] lr: 2.0000e-03 eta: 11:53:32 time: 1.0133 data_time: 0.1251 memory: 11089 grad_norm: 5.4406 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3018 loss: 1.3018 2022/08/04 01:57:32 - mmengine - INFO - Epoch(train) [126][40/1879] lr: 2.0000e-03 eta: 11:53:14 time: 0.9107 data_time: 0.0304 memory: 11089 grad_norm: 5.3297 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2600 loss: 1.2600 2022/08/04 01:57:50 - mmengine - INFO - Epoch(train) [126][60/1879] lr: 2.0000e-03 eta: 11:52:56 time: 0.9103 data_time: 0.0299 memory: 11089 grad_norm: 5.2710 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2580 loss: 1.2580 2022/08/04 01:58:09 - mmengine - INFO - Epoch(train) [126][80/1879] lr: 2.0000e-03 eta: 11:52:38 time: 0.9203 data_time: 0.0209 memory: 11089 grad_norm: 5.3541 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4959 loss: 1.4959 2022/08/04 01:58:27 - mmengine - INFO - Epoch(train) [126][100/1879] lr: 2.0000e-03 eta: 11:52:19 time: 0.9120 data_time: 0.0284 memory: 11089 grad_norm: 5.3413 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1354 loss: 1.1354 2022/08/04 01:58:45 - mmengine - INFO - Epoch(train) [126][120/1879] lr: 2.0000e-03 eta: 11:52:01 time: 0.9264 data_time: 0.0311 memory: 11089 grad_norm: 5.3447 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1029 loss: 1.1029 2022/08/04 01:58:50 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 01:59:04 - mmengine - INFO - Epoch(train) [126][140/1879] lr: 2.0000e-03 eta: 11:51:43 time: 0.9438 data_time: 0.0264 memory: 11089 grad_norm: 5.3346 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2606 loss: 1.2606 2022/08/04 01:59:23 - mmengine - INFO - Epoch(train) [126][160/1879] lr: 2.0000e-03 eta: 11:51:25 time: 0.9258 data_time: 0.0233 memory: 11089 grad_norm: 5.2624 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2082 loss: 1.2082 2022/08/04 01:59:42 - mmengine - INFO - Epoch(train) [126][180/1879] lr: 2.0000e-03 eta: 11:51:07 time: 0.9345 data_time: 0.0309 memory: 11089 grad_norm: 5.3650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2634 loss: 1.2634 2022/08/04 02:00:00 - mmengine - INFO - Epoch(train) [126][200/1879] lr: 2.0000e-03 eta: 11:50:49 time: 0.9398 data_time: 0.0297 memory: 11089 grad_norm: 5.3755 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2506 loss: 1.2506 2022/08/04 02:00:21 - mmengine - INFO - Epoch(train) [126][220/1879] lr: 2.0000e-03 eta: 11:50:31 time: 1.0131 data_time: 0.0298 memory: 11089 grad_norm: 5.4159 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1515 loss: 1.1515 2022/08/04 02:00:39 - mmengine - INFO - Epoch(train) [126][240/1879] lr: 2.0000e-03 eta: 11:50:13 time: 0.9263 data_time: 0.0339 memory: 11089 grad_norm: 5.2934 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3260 loss: 1.3260 2022/08/04 02:00:58 - mmengine - INFO - Epoch(train) [126][260/1879] lr: 2.0000e-03 eta: 11:49:55 time: 0.9486 data_time: 0.0332 memory: 11089 grad_norm: 5.2876 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2087 loss: 1.2087 2022/08/04 02:01:16 - mmengine - INFO - Epoch(train) [126][280/1879] lr: 2.0000e-03 eta: 11:49:36 time: 0.9150 data_time: 0.0293 memory: 11089 grad_norm: 5.4091 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1668 loss: 1.1668 2022/08/04 02:01:35 - mmengine - INFO - Epoch(train) [126][300/1879] lr: 2.0000e-03 eta: 11:49:18 time: 0.9169 data_time: 0.0264 memory: 11089 grad_norm: 5.4038 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2608 loss: 1.2608 2022/08/04 02:01:53 - mmengine - INFO - Epoch(train) [126][320/1879] lr: 2.0000e-03 eta: 11:49:00 time: 0.9229 data_time: 0.0250 memory: 11089 grad_norm: 5.3106 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2605 loss: 1.2605 2022/08/04 02:02:11 - mmengine - INFO - Epoch(train) [126][340/1879] lr: 2.0000e-03 eta: 11:48:42 time: 0.9067 data_time: 0.0300 memory: 11089 grad_norm: 5.2541 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2403 loss: 1.2403 2022/08/04 02:02:29 - mmengine - INFO - Epoch(train) [126][360/1879] lr: 2.0000e-03 eta: 11:48:23 time: 0.8978 data_time: 0.0232 memory: 11089 grad_norm: 5.2584 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1269 loss: 1.1269 2022/08/04 02:02:47 - mmengine - INFO - Epoch(train) [126][380/1879] lr: 2.0000e-03 eta: 11:48:05 time: 0.9065 data_time: 0.0269 memory: 11089 grad_norm: 5.5537 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2503 loss: 1.2503 2022/08/04 02:03:06 - mmengine - INFO - Epoch(train) [126][400/1879] lr: 2.0000e-03 eta: 11:47:47 time: 0.9190 data_time: 0.0248 memory: 11089 grad_norm: 5.3266 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2776 loss: 1.2776 2022/08/04 02:03:24 - mmengine - INFO - Epoch(train) [126][420/1879] lr: 2.0000e-03 eta: 11:47:29 time: 0.9134 data_time: 0.0231 memory: 11089 grad_norm: 5.3409 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2351 loss: 1.2351 2022/08/04 02:03:42 - mmengine - INFO - Epoch(train) [126][440/1879] lr: 2.0000e-03 eta: 11:47:10 time: 0.9109 data_time: 0.0241 memory: 11089 grad_norm: 5.3927 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2370 loss: 1.2370 2022/08/04 02:04:00 - mmengine - INFO - Epoch(train) [126][460/1879] lr: 2.0000e-03 eta: 11:46:52 time: 0.8972 data_time: 0.0222 memory: 11089 grad_norm: 5.4386 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3616 loss: 1.3616 2022/08/04 02:04:19 - mmengine - INFO - Epoch(train) [126][480/1879] lr: 2.0000e-03 eta: 11:46:34 time: 0.9367 data_time: 0.0239 memory: 11089 grad_norm: 5.4384 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1898 loss: 1.1898 2022/08/04 02:04:38 - mmengine - INFO - Epoch(train) [126][500/1879] lr: 2.0000e-03 eta: 11:46:16 time: 0.9370 data_time: 0.0325 memory: 11089 grad_norm: 5.4423 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2138 loss: 1.2138 2022/08/04 02:04:56 - mmengine - INFO - Epoch(train) [126][520/1879] lr: 2.0000e-03 eta: 11:45:58 time: 0.9335 data_time: 0.0257 memory: 11089 grad_norm: 5.3764 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1798 loss: 1.1798 2022/08/04 02:05:15 - mmengine - INFO - Epoch(train) [126][540/1879] lr: 2.0000e-03 eta: 11:45:40 time: 0.9334 data_time: 0.0260 memory: 11089 grad_norm: 5.4054 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5485 loss: 1.5485 2022/08/04 02:05:33 - mmengine - INFO - Epoch(train) [126][560/1879] lr: 2.0000e-03 eta: 11:45:21 time: 0.9141 data_time: 0.0183 memory: 11089 grad_norm: 5.3778 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2847 loss: 1.2847 2022/08/04 02:05:51 - mmengine - INFO - Epoch(train) [126][580/1879] lr: 2.0000e-03 eta: 11:45:03 time: 0.8970 data_time: 0.0246 memory: 11089 grad_norm: 5.4473 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1991 loss: 1.1991 2022/08/04 02:06:10 - mmengine - INFO - Epoch(train) [126][600/1879] lr: 2.0000e-03 eta: 11:44:45 time: 0.9097 data_time: 0.0257 memory: 11089 grad_norm: 5.4466 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3217 loss: 1.3217 2022/08/04 02:06:28 - mmengine - INFO - Epoch(train) [126][620/1879] lr: 2.0000e-03 eta: 11:44:27 time: 0.9414 data_time: 0.0320 memory: 11089 grad_norm: 5.3067 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1007 loss: 1.1007 2022/08/04 02:06:47 - mmengine - INFO - Epoch(train) [126][640/1879] lr: 2.0000e-03 eta: 11:44:08 time: 0.9221 data_time: 0.0320 memory: 11089 grad_norm: 5.2526 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1932 loss: 1.1932 2022/08/04 02:07:05 - mmengine - INFO - Epoch(train) [126][660/1879] lr: 2.0000e-03 eta: 11:43:50 time: 0.9050 data_time: 0.0282 memory: 11089 grad_norm: 5.5114 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3485 loss: 1.3485 2022/08/04 02:07:24 - mmengine - INFO - Epoch(train) [126][680/1879] lr: 2.0000e-03 eta: 11:43:32 time: 0.9261 data_time: 0.0273 memory: 11089 grad_norm: 5.4814 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4605 loss: 1.4605 2022/08/04 02:07:42 - mmengine - INFO - Epoch(train) [126][700/1879] lr: 2.0000e-03 eta: 11:43:14 time: 0.9137 data_time: 0.0255 memory: 11089 grad_norm: 5.4490 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2215 loss: 1.2215 2022/08/04 02:08:00 - mmengine - INFO - Epoch(train) [126][720/1879] lr: 2.0000e-03 eta: 11:42:56 time: 0.9157 data_time: 0.0255 memory: 11089 grad_norm: 5.5088 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3684 loss: 1.3684 2022/08/04 02:08:19 - mmengine - INFO - Epoch(train) [126][740/1879] lr: 2.0000e-03 eta: 11:42:37 time: 0.9285 data_time: 0.0249 memory: 11089 grad_norm: 5.4392 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2657 loss: 1.2657 2022/08/04 02:08:37 - mmengine - INFO - Epoch(train) [126][760/1879] lr: 2.0000e-03 eta: 11:42:19 time: 0.9133 data_time: 0.0290 memory: 11089 grad_norm: 5.5383 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3193 loss: 1.3193 2022/08/04 02:08:55 - mmengine - INFO - Epoch(train) [126][780/1879] lr: 2.0000e-03 eta: 11:42:01 time: 0.9142 data_time: 0.0243 memory: 11089 grad_norm: 5.3198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1567 loss: 1.1567 2022/08/04 02:09:13 - mmengine - INFO - Epoch(train) [126][800/1879] lr: 2.0000e-03 eta: 11:41:43 time: 0.9092 data_time: 0.0250 memory: 11089 grad_norm: 5.5036 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3021 loss: 1.3021 2022/08/04 02:09:31 - mmengine - INFO - Epoch(train) [126][820/1879] lr: 2.0000e-03 eta: 11:41:24 time: 0.9033 data_time: 0.0259 memory: 11089 grad_norm: 5.4520 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1709 loss: 1.1709 2022/08/04 02:09:50 - mmengine - INFO - Epoch(train) [126][840/1879] lr: 2.0000e-03 eta: 11:41:06 time: 0.9287 data_time: 0.0220 memory: 11089 grad_norm: 5.4733 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0974 loss: 1.0974 2022/08/04 02:10:08 - mmengine - INFO - Epoch(train) [126][860/1879] lr: 2.0000e-03 eta: 11:40:48 time: 0.9087 data_time: 0.0310 memory: 11089 grad_norm: 5.3920 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0563 loss: 1.0563 2022/08/04 02:10:27 - mmengine - INFO - Epoch(train) [126][880/1879] lr: 2.0000e-03 eta: 11:40:30 time: 0.9441 data_time: 0.0314 memory: 11089 grad_norm: 5.5253 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.3601 loss: 1.3601 2022/08/04 02:10:46 - mmengine - INFO - Epoch(train) [126][900/1879] lr: 2.0000e-03 eta: 11:40:12 time: 0.9207 data_time: 0.0322 memory: 11089 grad_norm: 5.3396 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1323 loss: 1.1323 2022/08/04 02:11:04 - mmengine - INFO - Epoch(train) [126][920/1879] lr: 2.0000e-03 eta: 11:39:53 time: 0.9101 data_time: 0.0283 memory: 11089 grad_norm: 5.3669 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1685 loss: 1.1685 2022/08/04 02:11:22 - mmengine - INFO - Epoch(train) [126][940/1879] lr: 2.0000e-03 eta: 11:39:35 time: 0.9248 data_time: 0.0297 memory: 11089 grad_norm: 5.5295 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3236 loss: 1.3236 2022/08/04 02:11:41 - mmengine - INFO - Epoch(train) [126][960/1879] lr: 2.0000e-03 eta: 11:39:17 time: 0.9317 data_time: 0.0322 memory: 11089 grad_norm: 5.4489 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3495 loss: 1.3495 2022/08/04 02:11:59 - mmengine - INFO - Epoch(train) [126][980/1879] lr: 2.0000e-03 eta: 11:38:59 time: 0.9268 data_time: 0.0247 memory: 11089 grad_norm: 5.5914 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2694 loss: 1.2694 2022/08/04 02:12:18 - mmengine - INFO - Epoch(train) [126][1000/1879] lr: 2.0000e-03 eta: 11:38:41 time: 0.9212 data_time: 0.0213 memory: 11089 grad_norm: 5.4976 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4109 loss: 1.4109 2022/08/04 02:12:36 - mmengine - INFO - Epoch(train) [126][1020/1879] lr: 2.0000e-03 eta: 11:38:22 time: 0.9076 data_time: 0.0245 memory: 11089 grad_norm: 5.4380 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2537 loss: 1.2537 2022/08/04 02:12:54 - mmengine - INFO - Epoch(train) [126][1040/1879] lr: 2.0000e-03 eta: 11:38:04 time: 0.9091 data_time: 0.0276 memory: 11089 grad_norm: 5.1584 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0073 loss: 1.0073 2022/08/04 02:13:12 - mmengine - INFO - Epoch(train) [126][1060/1879] lr: 2.0000e-03 eta: 11:37:46 time: 0.9057 data_time: 0.0235 memory: 11089 grad_norm: 5.4163 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2865 loss: 1.2865 2022/08/04 02:13:31 - mmengine - INFO - Epoch(train) [126][1080/1879] lr: 2.0000e-03 eta: 11:37:28 time: 0.9132 data_time: 0.0272 memory: 11089 grad_norm: 5.4526 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1443 loss: 1.1443 2022/08/04 02:13:49 - mmengine - INFO - Epoch(train) [126][1100/1879] lr: 2.0000e-03 eta: 11:37:10 time: 0.9253 data_time: 0.0310 memory: 11089 grad_norm: 5.4256 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2367 loss: 1.2367 2022/08/04 02:14:08 - mmengine - INFO - Epoch(train) [126][1120/1879] lr: 2.0000e-03 eta: 11:36:51 time: 0.9259 data_time: 0.0325 memory: 11089 grad_norm: 5.4253 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.2252 loss: 1.2252 2022/08/04 02:14:12 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 02:14:26 - mmengine - INFO - Epoch(train) [126][1140/1879] lr: 2.0000e-03 eta: 11:36:33 time: 0.9425 data_time: 0.0353 memory: 11089 grad_norm: 5.6693 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4144 loss: 1.4144 2022/08/04 02:14:45 - mmengine - INFO - Epoch(train) [126][1160/1879] lr: 2.0000e-03 eta: 11:36:15 time: 0.9096 data_time: 0.0273 memory: 11089 grad_norm: 5.4785 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2438 loss: 1.2438 2022/08/04 02:15:03 - mmengine - INFO - Epoch(train) [126][1180/1879] lr: 2.0000e-03 eta: 11:35:57 time: 0.9183 data_time: 0.0305 memory: 11089 grad_norm: 5.4908 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0264 loss: 1.0264 2022/08/04 02:15:22 - mmengine - INFO - Epoch(train) [126][1200/1879] lr: 2.0000e-03 eta: 11:35:39 time: 0.9386 data_time: 0.0365 memory: 11089 grad_norm: 5.4352 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1503 loss: 1.1503 2022/08/04 02:15:40 - mmengine - INFO - Epoch(train) [126][1220/1879] lr: 2.0000e-03 eta: 11:35:20 time: 0.9242 data_time: 0.0252 memory: 11089 grad_norm: 5.3936 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0966 loss: 1.0966 2022/08/04 02:15:59 - mmengine - INFO - Epoch(train) [126][1240/1879] lr: 2.0000e-03 eta: 11:35:02 time: 0.9241 data_time: 0.0282 memory: 11089 grad_norm: 5.2066 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1800 loss: 1.1800 2022/08/04 02:16:17 - mmengine - INFO - Epoch(train) [126][1260/1879] lr: 2.0000e-03 eta: 11:34:44 time: 0.9203 data_time: 0.0239 memory: 11089 grad_norm: 5.3310 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1333 loss: 1.1333 2022/08/04 02:16:36 - mmengine - INFO - Epoch(train) [126][1280/1879] lr: 2.0000e-03 eta: 11:34:26 time: 0.9231 data_time: 0.0283 memory: 11089 grad_norm: 5.3098 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2327 loss: 1.2327 2022/08/04 02:16:54 - mmengine - INFO - Epoch(train) [126][1300/1879] lr: 2.0000e-03 eta: 11:34:08 time: 0.9123 data_time: 0.0282 memory: 11089 grad_norm: 5.3157 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2530 loss: 1.2530 2022/08/04 02:17:12 - mmengine - INFO - Epoch(train) [126][1320/1879] lr: 2.0000e-03 eta: 11:33:49 time: 0.9144 data_time: 0.0318 memory: 11089 grad_norm: 5.3880 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3266 loss: 1.3266 2022/08/04 02:17:31 - mmengine - INFO - Epoch(train) [126][1340/1879] lr: 2.0000e-03 eta: 11:33:31 time: 0.9383 data_time: 0.0318 memory: 11089 grad_norm: 5.5184 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3004 loss: 1.3004 2022/08/04 02:17:50 - mmengine - INFO - Epoch(train) [126][1360/1879] lr: 2.0000e-03 eta: 11:33:13 time: 0.9218 data_time: 0.0329 memory: 11089 grad_norm: 5.3750 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1958 loss: 1.1958 2022/08/04 02:18:08 - mmengine - INFO - Epoch(train) [126][1380/1879] lr: 2.0000e-03 eta: 11:32:55 time: 0.9263 data_time: 0.0316 memory: 11089 grad_norm: 5.5585 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1661 loss: 1.1661 2022/08/04 02:18:26 - mmengine - INFO - Epoch(train) [126][1400/1879] lr: 2.0000e-03 eta: 11:32:37 time: 0.9069 data_time: 0.0215 memory: 11089 grad_norm: 5.4892 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3802 loss: 1.3802 2022/08/04 02:18:45 - mmengine - INFO - Epoch(train) [126][1420/1879] lr: 2.0000e-03 eta: 11:32:18 time: 0.9357 data_time: 0.0237 memory: 11089 grad_norm: 5.2706 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2121 loss: 1.2121 2022/08/04 02:19:03 - mmengine - INFO - Epoch(train) [126][1440/1879] lr: 2.0000e-03 eta: 11:32:00 time: 0.9317 data_time: 0.0312 memory: 11089 grad_norm: 5.3115 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1786 loss: 1.1786 2022/08/04 02:19:22 - mmengine - INFO - Epoch(train) [126][1460/1879] lr: 2.0000e-03 eta: 11:31:42 time: 0.9169 data_time: 0.0263 memory: 11089 grad_norm: 5.5943 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4190 loss: 1.4190 2022/08/04 02:19:40 - mmengine - INFO - Epoch(train) [126][1480/1879] lr: 2.0000e-03 eta: 11:31:24 time: 0.9305 data_time: 0.0275 memory: 11089 grad_norm: 5.5614 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1285 loss: 1.1285 2022/08/04 02:19:59 - mmengine - INFO - Epoch(train) [126][1500/1879] lr: 2.0000e-03 eta: 11:31:06 time: 0.9212 data_time: 0.0249 memory: 11089 grad_norm: 5.4427 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1521 loss: 1.1521 2022/08/04 02:20:17 - mmengine - INFO - Epoch(train) [126][1520/1879] lr: 2.0000e-03 eta: 11:30:48 time: 0.9153 data_time: 0.0243 memory: 11089 grad_norm: 5.4769 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2716 loss: 1.2716 2022/08/04 02:20:35 - mmengine - INFO - Epoch(train) [126][1540/1879] lr: 2.0000e-03 eta: 11:30:29 time: 0.9093 data_time: 0.0228 memory: 11089 grad_norm: 5.4687 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2537 loss: 1.2537 2022/08/04 02:20:53 - mmengine - INFO - Epoch(train) [126][1560/1879] lr: 2.0000e-03 eta: 11:30:11 time: 0.8986 data_time: 0.0288 memory: 11089 grad_norm: 5.4974 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3255 loss: 1.3255 2022/08/04 02:21:12 - mmengine - INFO - Epoch(train) [126][1580/1879] lr: 2.0000e-03 eta: 11:29:53 time: 0.9296 data_time: 0.0294 memory: 11089 grad_norm: 6.1296 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3668 loss: 1.3668 2022/08/04 02:21:30 - mmengine - INFO - Epoch(train) [126][1600/1879] lr: 2.0000e-03 eta: 11:29:35 time: 0.9239 data_time: 0.0346 memory: 11089 grad_norm: 5.5976 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.3087 loss: 1.3087 2022/08/04 02:21:49 - mmengine - INFO - Epoch(train) [126][1620/1879] lr: 2.0000e-03 eta: 11:29:16 time: 0.9068 data_time: 0.0271 memory: 11089 grad_norm: 5.6069 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2562 loss: 1.2562 2022/08/04 02:22:06 - mmengine - INFO - Epoch(train) [126][1640/1879] lr: 2.0000e-03 eta: 11:28:58 time: 0.8909 data_time: 0.0241 memory: 11089 grad_norm: 5.4707 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2180 loss: 1.2180 2022/08/04 02:22:25 - mmengine - INFO - Epoch(train) [126][1660/1879] lr: 2.0000e-03 eta: 11:28:40 time: 0.9125 data_time: 0.0232 memory: 11089 grad_norm: 5.4825 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2130 loss: 1.2130 2022/08/04 02:22:43 - mmengine - INFO - Epoch(train) [126][1680/1879] lr: 2.0000e-03 eta: 11:28:22 time: 0.9150 data_time: 0.0264 memory: 11089 grad_norm: 5.5100 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2530 loss: 1.2530 2022/08/04 02:23:01 - mmengine - INFO - Epoch(train) [126][1700/1879] lr: 2.0000e-03 eta: 11:28:03 time: 0.9035 data_time: 0.0216 memory: 11089 grad_norm: 5.4375 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0478 loss: 1.0478 2022/08/04 02:23:19 - mmengine - INFO - Epoch(train) [126][1720/1879] lr: 2.0000e-03 eta: 11:27:45 time: 0.9155 data_time: 0.0273 memory: 11089 grad_norm: 5.4196 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3318 loss: 1.3318 2022/08/04 02:23:38 - mmengine - INFO - Epoch(train) [126][1740/1879] lr: 2.0000e-03 eta: 11:27:27 time: 0.9178 data_time: 0.0279 memory: 11089 grad_norm: 5.7339 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2466 loss: 1.2466 2022/08/04 02:23:56 - mmengine - INFO - Epoch(train) [126][1760/1879] lr: 2.0000e-03 eta: 11:27:09 time: 0.9083 data_time: 0.0282 memory: 11089 grad_norm: 5.5608 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2359 loss: 1.2359 2022/08/04 02:24:14 - mmengine - INFO - Epoch(train) [126][1780/1879] lr: 2.0000e-03 eta: 11:26:50 time: 0.9100 data_time: 0.0244 memory: 11089 grad_norm: 5.5008 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2719 loss: 1.2719 2022/08/04 02:24:33 - mmengine - INFO - Epoch(train) [126][1800/1879] lr: 2.0000e-03 eta: 11:26:32 time: 0.9300 data_time: 0.0253 memory: 11089 grad_norm: 5.5142 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1110 loss: 1.1110 2022/08/04 02:24:51 - mmengine - INFO - Epoch(train) [126][1820/1879] lr: 2.0000e-03 eta: 11:26:14 time: 0.9304 data_time: 0.0377 memory: 11089 grad_norm: 5.4190 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4347 loss: 1.4347 2022/08/04 02:25:10 - mmengine - INFO - Epoch(train) [126][1840/1879] lr: 2.0000e-03 eta: 11:25:56 time: 0.9148 data_time: 0.0289 memory: 11089 grad_norm: 5.3081 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3206 loss: 1.3206 2022/08/04 02:25:29 - mmengine - INFO - Epoch(train) [126][1860/1879] lr: 2.0000e-03 eta: 11:25:38 time: 0.9457 data_time: 0.0277 memory: 11089 grad_norm: 5.5752 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1773 loss: 1.1773 2022/08/04 02:25:46 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 02:25:46 - mmengine - INFO - Epoch(train) [126][1879/1879] lr: 2.0000e-03 eta: 11:25:38 time: 0.8922 data_time: 0.0231 memory: 11089 grad_norm: 5.3903 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.1559 loss: 1.1559 2022/08/04 02:26:06 - mmengine - INFO - Epoch(train) [127][20/1879] lr: 2.0000e-03 eta: 11:24:59 time: 1.0044 data_time: 0.1458 memory: 11089 grad_norm: 5.4565 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3864 loss: 1.3864 2022/08/04 02:26:24 - mmengine - INFO - Epoch(train) [127][40/1879] lr: 2.0000e-03 eta: 11:24:41 time: 0.9193 data_time: 0.0333 memory: 11089 grad_norm: 5.5346 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2848 loss: 1.2848 2022/08/04 02:26:42 - mmengine - INFO - Epoch(train) [127][60/1879] lr: 2.0000e-03 eta: 11:24:23 time: 0.9169 data_time: 0.0308 memory: 11089 grad_norm: 5.3703 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2178 loss: 1.2178 2022/08/04 02:27:01 - mmengine - INFO - Epoch(train) [127][80/1879] lr: 2.0000e-03 eta: 11:24:05 time: 0.9509 data_time: 0.0316 memory: 11089 grad_norm: 5.3838 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4835 loss: 1.4835 2022/08/04 02:27:20 - mmengine - INFO - Epoch(train) [127][100/1879] lr: 2.0000e-03 eta: 11:23:47 time: 0.9337 data_time: 0.0272 memory: 11089 grad_norm: 5.4240 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1849 loss: 1.1849 2022/08/04 02:27:38 - mmengine - INFO - Epoch(train) [127][120/1879] lr: 2.0000e-03 eta: 11:23:28 time: 0.9044 data_time: 0.0280 memory: 11089 grad_norm: 5.6183 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4005 loss: 1.4005 2022/08/04 02:27:57 - mmengine - INFO - Epoch(train) [127][140/1879] lr: 2.0000e-03 eta: 11:23:10 time: 0.9263 data_time: 0.0313 memory: 11089 grad_norm: 5.6983 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1725 loss: 1.1725 2022/08/04 02:28:15 - mmengine - INFO - Epoch(train) [127][160/1879] lr: 2.0000e-03 eta: 11:22:52 time: 0.9062 data_time: 0.0233 memory: 11089 grad_norm: 5.4816 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4457 loss: 1.4457 2022/08/04 02:28:33 - mmengine - INFO - Epoch(train) [127][180/1879] lr: 2.0000e-03 eta: 11:22:34 time: 0.9157 data_time: 0.0249 memory: 11089 grad_norm: 5.5067 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1983 loss: 1.1983 2022/08/04 02:28:52 - mmengine - INFO - Epoch(train) [127][200/1879] lr: 2.0000e-03 eta: 11:22:15 time: 0.9196 data_time: 0.0326 memory: 11089 grad_norm: 5.3543 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3574 loss: 1.3574 2022/08/04 02:29:10 - mmengine - INFO - Epoch(train) [127][220/1879] lr: 2.0000e-03 eta: 11:21:57 time: 0.9211 data_time: 0.0336 memory: 11089 grad_norm: 5.6347 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1828 loss: 1.1828 2022/08/04 02:29:28 - mmengine - INFO - Epoch(train) [127][240/1879] lr: 2.0000e-03 eta: 11:21:39 time: 0.9105 data_time: 0.0251 memory: 11089 grad_norm: 5.4900 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3004 loss: 1.3004 2022/08/04 02:29:34 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 02:29:47 - mmengine - INFO - Epoch(train) [127][260/1879] lr: 2.0000e-03 eta: 11:21:21 time: 0.9153 data_time: 0.0327 memory: 11089 grad_norm: 5.5565 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3742 loss: 1.3742 2022/08/04 02:30:05 - mmengine - INFO - Epoch(train) [127][280/1879] lr: 2.0000e-03 eta: 11:21:03 time: 0.9091 data_time: 0.0255 memory: 11089 grad_norm: 5.4120 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3040 loss: 1.3040 2022/08/04 02:30:23 - mmengine - INFO - Epoch(train) [127][300/1879] lr: 2.0000e-03 eta: 11:20:44 time: 0.9252 data_time: 0.0262 memory: 11089 grad_norm: 5.4153 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3838 loss: 1.3838 2022/08/04 02:30:42 - mmengine - INFO - Epoch(train) [127][320/1879] lr: 2.0000e-03 eta: 11:20:26 time: 0.9411 data_time: 0.0322 memory: 11089 grad_norm: 5.4286 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1076 loss: 1.1076 2022/08/04 02:31:01 - mmengine - INFO - Epoch(train) [127][340/1879] lr: 2.0000e-03 eta: 11:20:08 time: 0.9241 data_time: 0.0286 memory: 11089 grad_norm: 5.4697 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2381 loss: 1.2381 2022/08/04 02:31:19 - mmengine - INFO - Epoch(train) [127][360/1879] lr: 2.0000e-03 eta: 11:19:50 time: 0.9269 data_time: 0.0247 memory: 11089 grad_norm: 5.5154 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1852 loss: 1.1852 2022/08/04 02:31:38 - mmengine - INFO - Epoch(train) [127][380/1879] lr: 2.0000e-03 eta: 11:19:32 time: 0.9293 data_time: 0.0286 memory: 11089 grad_norm: 5.4550 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4002 loss: 1.4002 2022/08/04 02:31:56 - mmengine - INFO - Epoch(train) [127][400/1879] lr: 2.0000e-03 eta: 11:19:13 time: 0.9157 data_time: 0.0283 memory: 11089 grad_norm: 5.3503 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3556 loss: 1.3556 2022/08/04 02:32:14 - mmengine - INFO - Epoch(train) [127][420/1879] lr: 2.0000e-03 eta: 11:18:55 time: 0.9062 data_time: 0.0326 memory: 11089 grad_norm: 5.4907 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2525 loss: 1.2525 2022/08/04 02:32:33 - mmengine - INFO - Epoch(train) [127][440/1879] lr: 2.0000e-03 eta: 11:18:37 time: 0.9262 data_time: 0.0362 memory: 11089 grad_norm: 5.5466 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3896 loss: 1.3896 2022/08/04 02:32:52 - mmengine - INFO - Epoch(train) [127][460/1879] lr: 2.0000e-03 eta: 11:18:19 time: 0.9415 data_time: 0.0330 memory: 11089 grad_norm: 5.6568 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1945 loss: 1.1945 2022/08/04 02:33:10 - mmengine - INFO - Epoch(train) [127][480/1879] lr: 2.0000e-03 eta: 11:18:01 time: 0.9175 data_time: 0.0236 memory: 11089 grad_norm: 5.2763 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0179 loss: 1.0179 2022/08/04 02:33:28 - mmengine - INFO - Epoch(train) [127][500/1879] lr: 2.0000e-03 eta: 11:17:42 time: 0.9178 data_time: 0.0207 memory: 11089 grad_norm: 5.4718 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3886 loss: 1.3886 2022/08/04 02:33:47 - mmengine - INFO - Epoch(train) [127][520/1879] lr: 2.0000e-03 eta: 11:17:24 time: 0.9360 data_time: 0.0263 memory: 11089 grad_norm: 5.4670 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2801 loss: 1.2801 2022/08/04 02:34:05 - mmengine - INFO - Epoch(train) [127][540/1879] lr: 2.0000e-03 eta: 11:17:06 time: 0.9128 data_time: 0.0239 memory: 11089 grad_norm: 5.3576 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3172 loss: 1.3172 2022/08/04 02:34:24 - mmengine - INFO - Epoch(train) [127][560/1879] lr: 2.0000e-03 eta: 11:16:48 time: 0.9334 data_time: 0.0320 memory: 11089 grad_norm: 5.5431 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2364 loss: 1.2364 2022/08/04 02:34:42 - mmengine - INFO - Epoch(train) [127][580/1879] lr: 2.0000e-03 eta: 11:16:30 time: 0.9035 data_time: 0.0221 memory: 11089 grad_norm: 5.5782 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2046 loss: 1.2046 2022/08/04 02:35:00 - mmengine - INFO - Epoch(train) [127][600/1879] lr: 2.0000e-03 eta: 11:16:11 time: 0.9237 data_time: 0.0276 memory: 11089 grad_norm: 5.4025 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1815 loss: 1.1815 2022/08/04 02:35:19 - mmengine - INFO - Epoch(train) [127][620/1879] lr: 2.0000e-03 eta: 11:15:53 time: 0.9468 data_time: 0.0334 memory: 11089 grad_norm: 5.4015 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1664 loss: 1.1664 2022/08/04 02:35:38 - mmengine - INFO - Epoch(train) [127][640/1879] lr: 2.0000e-03 eta: 11:15:35 time: 0.9396 data_time: 0.0344 memory: 11089 grad_norm: 5.5265 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3904 loss: 1.3904 2022/08/04 02:35:57 - mmengine - INFO - Epoch(train) [127][660/1879] lr: 2.0000e-03 eta: 11:15:17 time: 0.9252 data_time: 0.0235 memory: 11089 grad_norm: 5.4709 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3148 loss: 1.3148 2022/08/04 02:36:15 - mmengine - INFO - Epoch(train) [127][680/1879] lr: 2.0000e-03 eta: 11:14:59 time: 0.9040 data_time: 0.0279 memory: 11089 grad_norm: 5.4218 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2336 loss: 1.2336 2022/08/04 02:36:34 - mmengine - INFO - Epoch(train) [127][700/1879] lr: 2.0000e-03 eta: 11:14:41 time: 0.9389 data_time: 0.0317 memory: 11089 grad_norm: 5.4433 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2274 loss: 1.2274 2022/08/04 02:36:52 - mmengine - INFO - Epoch(train) [127][720/1879] lr: 2.0000e-03 eta: 11:14:23 time: 0.9397 data_time: 0.0319 memory: 11089 grad_norm: 5.4576 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2510 loss: 1.2510 2022/08/04 02:37:11 - mmengine - INFO - Epoch(train) [127][740/1879] lr: 2.0000e-03 eta: 11:14:04 time: 0.9126 data_time: 0.0285 memory: 11089 grad_norm: 5.5385 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1470 loss: 1.1470 2022/08/04 02:37:29 - mmengine - INFO - Epoch(train) [127][760/1879] lr: 2.0000e-03 eta: 11:13:46 time: 0.9195 data_time: 0.0254 memory: 11089 grad_norm: 5.4984 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2757 loss: 1.2757 2022/08/04 02:37:47 - mmengine - INFO - Epoch(train) [127][780/1879] lr: 2.0000e-03 eta: 11:13:28 time: 0.9139 data_time: 0.0243 memory: 11089 grad_norm: 5.6142 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1258 loss: 1.1258 2022/08/04 02:38:05 - mmengine - INFO - Epoch(train) [127][800/1879] lr: 2.0000e-03 eta: 11:13:10 time: 0.8960 data_time: 0.0215 memory: 11089 grad_norm: 5.2971 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2650 loss: 1.2650 2022/08/04 02:38:24 - mmengine - INFO - Epoch(train) [127][820/1879] lr: 2.0000e-03 eta: 11:12:51 time: 0.9229 data_time: 0.0283 memory: 11089 grad_norm: 5.5803 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0446 loss: 1.0446 2022/08/04 02:38:42 - mmengine - INFO - Epoch(train) [127][840/1879] lr: 2.0000e-03 eta: 11:12:33 time: 0.9225 data_time: 0.0305 memory: 11089 grad_norm: 5.5410 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0787 loss: 1.0787 2022/08/04 02:39:01 - mmengine - INFO - Epoch(train) [127][860/1879] lr: 2.0000e-03 eta: 11:12:15 time: 0.9357 data_time: 0.0296 memory: 11089 grad_norm: 5.4274 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2534 loss: 1.2534 2022/08/04 02:39:20 - mmengine - INFO - Epoch(train) [127][880/1879] lr: 2.0000e-03 eta: 11:11:57 time: 0.9452 data_time: 0.0319 memory: 11089 grad_norm: 5.6022 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4337 loss: 1.4337 2022/08/04 02:39:38 - mmengine - INFO - Epoch(train) [127][900/1879] lr: 2.0000e-03 eta: 11:11:39 time: 0.9277 data_time: 0.0224 memory: 11089 grad_norm: 5.3041 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2483 loss: 1.2483 2022/08/04 02:39:57 - mmengine - INFO - Epoch(train) [127][920/1879] lr: 2.0000e-03 eta: 11:11:20 time: 0.9101 data_time: 0.0279 memory: 11089 grad_norm: 5.4948 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1089 loss: 1.1089 2022/08/04 02:40:15 - mmengine - INFO - Epoch(train) [127][940/1879] lr: 2.0000e-03 eta: 11:11:02 time: 0.9176 data_time: 0.0272 memory: 11089 grad_norm: 5.4829 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3300 loss: 1.3300 2022/08/04 02:40:33 - mmengine - INFO - Epoch(train) [127][960/1879] lr: 2.0000e-03 eta: 11:10:44 time: 0.9167 data_time: 0.0287 memory: 11089 grad_norm: 5.5303 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3005 loss: 1.3005 2022/08/04 02:40:52 - mmengine - INFO - Epoch(train) [127][980/1879] lr: 2.0000e-03 eta: 11:10:26 time: 0.9118 data_time: 0.0266 memory: 11089 grad_norm: 5.6382 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.2523 loss: 1.2523 2022/08/04 02:41:10 - mmengine - INFO - Epoch(train) [127][1000/1879] lr: 2.0000e-03 eta: 11:10:08 time: 0.9475 data_time: 0.0335 memory: 11089 grad_norm: 5.4789 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3682 loss: 1.3682 2022/08/04 02:41:29 - mmengine - INFO - Epoch(train) [127][1020/1879] lr: 2.0000e-03 eta: 11:09:49 time: 0.9098 data_time: 0.0246 memory: 11089 grad_norm: 5.5055 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2377 loss: 1.2377 2022/08/04 02:41:47 - mmengine - INFO - Epoch(train) [127][1040/1879] lr: 2.0000e-03 eta: 11:09:31 time: 0.9224 data_time: 0.0262 memory: 11089 grad_norm: 5.4088 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0511 loss: 1.0511 2022/08/04 02:42:05 - mmengine - INFO - Epoch(train) [127][1060/1879] lr: 2.0000e-03 eta: 11:09:13 time: 0.9044 data_time: 0.0269 memory: 11089 grad_norm: 5.4881 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1977 loss: 1.1977 2022/08/04 02:42:23 - mmengine - INFO - Epoch(train) [127][1080/1879] lr: 2.0000e-03 eta: 11:08:55 time: 0.9076 data_time: 0.0211 memory: 11089 grad_norm: 5.4019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2248 loss: 1.2248 2022/08/04 02:42:42 - mmengine - INFO - Epoch(train) [127][1100/1879] lr: 2.0000e-03 eta: 11:08:37 time: 0.9425 data_time: 0.0321 memory: 11089 grad_norm: 5.5530 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4280 loss: 1.4280 2022/08/04 02:43:01 - mmengine - INFO - Epoch(train) [127][1120/1879] lr: 2.0000e-03 eta: 11:08:18 time: 0.9295 data_time: 0.0236 memory: 11089 grad_norm: 5.3991 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1938 loss: 1.1938 2022/08/04 02:43:20 - mmengine - INFO - Epoch(train) [127][1140/1879] lr: 2.0000e-03 eta: 11:08:00 time: 0.9352 data_time: 0.0300 memory: 11089 grad_norm: 5.5160 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2710 loss: 1.2710 2022/08/04 02:43:38 - mmengine - INFO - Epoch(train) [127][1160/1879] lr: 2.0000e-03 eta: 11:07:42 time: 0.9101 data_time: 0.0209 memory: 11089 grad_norm: 5.6242 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2838 loss: 1.2838 2022/08/04 02:43:56 - mmengine - INFO - Epoch(train) [127][1180/1879] lr: 2.0000e-03 eta: 11:07:24 time: 0.9287 data_time: 0.0272 memory: 11089 grad_norm: 5.5490 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2481 loss: 1.2481 2022/08/04 02:44:14 - mmengine - INFO - Epoch(train) [127][1200/1879] lr: 2.0000e-03 eta: 11:07:06 time: 0.8994 data_time: 0.0295 memory: 11089 grad_norm: 5.4237 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3014 loss: 1.3014 2022/08/04 02:44:33 - mmengine - INFO - Epoch(train) [127][1220/1879] lr: 2.0000e-03 eta: 11:06:47 time: 0.9294 data_time: 0.0267 memory: 11089 grad_norm: 5.5333 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0394 loss: 1.0394 2022/08/04 02:44:51 - mmengine - INFO - Epoch(train) [127][1240/1879] lr: 2.0000e-03 eta: 11:06:29 time: 0.9134 data_time: 0.0220 memory: 11089 grad_norm: 5.3935 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2297 loss: 1.2297 2022/08/04 02:44:57 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 02:45:10 - mmengine - INFO - Epoch(train) [127][1260/1879] lr: 2.0000e-03 eta: 11:06:11 time: 0.9194 data_time: 0.0236 memory: 11089 grad_norm: 5.6078 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3018 loss: 1.3018 2022/08/04 02:45:28 - mmengine - INFO - Epoch(train) [127][1280/1879] lr: 2.0000e-03 eta: 11:05:53 time: 0.9394 data_time: 0.0270 memory: 11089 grad_norm: 5.3736 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3499 loss: 1.3499 2022/08/04 02:45:46 - mmengine - INFO - Epoch(train) [127][1300/1879] lr: 2.0000e-03 eta: 11:05:35 time: 0.8997 data_time: 0.0245 memory: 11089 grad_norm: 5.5069 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.2056 loss: 1.2056 2022/08/04 02:46:05 - mmengine - INFO - Epoch(train) [127][1320/1879] lr: 2.0000e-03 eta: 11:05:16 time: 0.9129 data_time: 0.0297 memory: 11089 grad_norm: 5.4596 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2814 loss: 1.2814 2022/08/04 02:46:24 - mmengine - INFO - Epoch(train) [127][1340/1879] lr: 2.0000e-03 eta: 11:04:58 time: 0.9487 data_time: 0.0450 memory: 11089 grad_norm: 5.5205 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1712 loss: 1.1712 2022/08/04 02:46:42 - mmengine - INFO - Epoch(train) [127][1360/1879] lr: 2.0000e-03 eta: 11:04:40 time: 0.9068 data_time: 0.0246 memory: 11089 grad_norm: 5.5320 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1726 loss: 1.1726 2022/08/04 02:47:00 - mmengine - INFO - Epoch(train) [127][1380/1879] lr: 2.0000e-03 eta: 11:04:22 time: 0.9251 data_time: 0.0209 memory: 11089 grad_norm: 5.4563 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0721 loss: 1.0721 2022/08/04 02:47:19 - mmengine - INFO - Epoch(train) [127][1400/1879] lr: 2.0000e-03 eta: 11:04:04 time: 0.9462 data_time: 0.0401 memory: 11089 grad_norm: 5.3066 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2577 loss: 1.2577 2022/08/04 02:47:37 - mmengine - INFO - Epoch(train) [127][1420/1879] lr: 2.0000e-03 eta: 11:03:45 time: 0.9049 data_time: 0.0236 memory: 11089 grad_norm: 5.7578 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1820 loss: 1.1820 2022/08/04 02:47:56 - mmengine - INFO - Epoch(train) [127][1440/1879] lr: 2.0000e-03 eta: 11:03:27 time: 0.9411 data_time: 0.0274 memory: 11089 grad_norm: 5.5092 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1987 loss: 1.1987 2022/08/04 02:48:15 - mmengine - INFO - Epoch(train) [127][1460/1879] lr: 2.0000e-03 eta: 11:03:09 time: 0.9409 data_time: 0.0351 memory: 11089 grad_norm: 5.5635 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2698 loss: 1.2698 2022/08/04 02:48:33 - mmengine - INFO - Epoch(train) [127][1480/1879] lr: 2.0000e-03 eta: 11:02:51 time: 0.9084 data_time: 0.0291 memory: 11089 grad_norm: 5.6992 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3391 loss: 1.3391 2022/08/04 02:48:51 - mmengine - INFO - Epoch(train) [127][1500/1879] lr: 2.0000e-03 eta: 11:02:33 time: 0.9088 data_time: 0.0281 memory: 11089 grad_norm: 5.3424 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1047 loss: 1.1047 2022/08/04 02:49:10 - mmengine - INFO - Epoch(train) [127][1520/1879] lr: 2.0000e-03 eta: 11:02:14 time: 0.9290 data_time: 0.0290 memory: 11089 grad_norm: 5.5089 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4705 loss: 1.4705 2022/08/04 02:49:29 - mmengine - INFO - Epoch(train) [127][1540/1879] lr: 2.0000e-03 eta: 11:01:56 time: 0.9328 data_time: 0.0323 memory: 11089 grad_norm: 5.5435 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3000 loss: 1.3000 2022/08/04 02:49:47 - mmengine - INFO - Epoch(train) [127][1560/1879] lr: 2.0000e-03 eta: 11:01:38 time: 0.9020 data_time: 0.0307 memory: 11089 grad_norm: 5.4040 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2193 loss: 1.2193 2022/08/04 02:50:05 - mmengine - INFO - Epoch(train) [127][1580/1879] lr: 2.0000e-03 eta: 11:01:20 time: 0.9181 data_time: 0.0232 memory: 11089 grad_norm: 5.3691 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2963 loss: 1.2963 2022/08/04 02:50:23 - mmengine - INFO - Epoch(train) [127][1600/1879] lr: 2.0000e-03 eta: 11:01:02 time: 0.8987 data_time: 0.0248 memory: 11089 grad_norm: 5.4197 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1752 loss: 1.1752 2022/08/04 02:50:41 - mmengine - INFO - Epoch(train) [127][1620/1879] lr: 2.0000e-03 eta: 11:00:43 time: 0.9139 data_time: 0.0345 memory: 11089 grad_norm: 5.5947 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2113 loss: 1.2113 2022/08/04 02:51:00 - mmengine - INFO - Epoch(train) [127][1640/1879] lr: 2.0000e-03 eta: 11:00:25 time: 0.9144 data_time: 0.0242 memory: 11089 grad_norm: 5.4153 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2500 loss: 1.2500 2022/08/04 02:51:18 - mmengine - INFO - Epoch(train) [127][1660/1879] lr: 2.0000e-03 eta: 11:00:07 time: 0.9069 data_time: 0.0253 memory: 11089 grad_norm: 5.6987 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2739 loss: 1.2739 2022/08/04 02:51:36 - mmengine - INFO - Epoch(train) [127][1680/1879] lr: 2.0000e-03 eta: 10:59:49 time: 0.9045 data_time: 0.0250 memory: 11089 grad_norm: 5.6519 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2411 loss: 1.2411 2022/08/04 02:51:54 - mmengine - INFO - Epoch(train) [127][1700/1879] lr: 2.0000e-03 eta: 10:59:30 time: 0.9205 data_time: 0.0299 memory: 11089 grad_norm: 5.6549 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4690 loss: 1.4690 2022/08/04 02:52:13 - mmengine - INFO - Epoch(train) [127][1720/1879] lr: 2.0000e-03 eta: 10:59:12 time: 0.9416 data_time: 0.0398 memory: 11089 grad_norm: 5.5097 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2780 loss: 1.2780 2022/08/04 02:52:31 - mmengine - INFO - Epoch(train) [127][1740/1879] lr: 2.0000e-03 eta: 10:58:54 time: 0.9056 data_time: 0.0256 memory: 11089 grad_norm: 5.5706 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3787 loss: 1.3787 2022/08/04 02:52:50 - mmengine - INFO - Epoch(train) [127][1760/1879] lr: 2.0000e-03 eta: 10:58:36 time: 0.9188 data_time: 0.0247 memory: 11089 grad_norm: 5.6394 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1583 loss: 1.1583 2022/08/04 02:53:08 - mmengine - INFO - Epoch(train) [127][1780/1879] lr: 2.0000e-03 eta: 10:58:18 time: 0.9208 data_time: 0.0239 memory: 11089 grad_norm: 5.7109 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1868 loss: 1.1868 2022/08/04 02:53:26 - mmengine - INFO - Epoch(train) [127][1800/1879] lr: 2.0000e-03 eta: 10:57:59 time: 0.9077 data_time: 0.0236 memory: 11089 grad_norm: 5.7072 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2771 loss: 1.2771 2022/08/04 02:53:44 - mmengine - INFO - Epoch(train) [127][1820/1879] lr: 2.0000e-03 eta: 10:57:41 time: 0.9065 data_time: 0.0288 memory: 11089 grad_norm: 5.3175 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1898 loss: 1.1898 2022/08/04 02:54:03 - mmengine - INFO - Epoch(train) [127][1840/1879] lr: 2.0000e-03 eta: 10:57:23 time: 0.9189 data_time: 0.0232 memory: 11089 grad_norm: 5.6200 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2924 loss: 1.2924 2022/08/04 02:54:21 - mmengine - INFO - Epoch(train) [127][1860/1879] lr: 2.0000e-03 eta: 10:57:05 time: 0.9024 data_time: 0.0228 memory: 11089 grad_norm: 5.4864 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2088 loss: 1.2088 2022/08/04 02:54:38 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 02:54:38 - mmengine - INFO - Epoch(train) [127][1879/1879] lr: 2.0000e-03 eta: 10:57:05 time: 0.9077 data_time: 0.0262 memory: 11089 grad_norm: 5.7195 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.3072 loss: 1.3072 2022/08/04 02:54:59 - mmengine - INFO - Epoch(train) [128][20/1879] lr: 2.0000e-03 eta: 10:56:26 time: 1.0450 data_time: 0.1447 memory: 11089 grad_norm: 5.4433 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1752 loss: 1.1752 2022/08/04 02:55:17 - mmengine - INFO - Epoch(train) [128][40/1879] lr: 2.0000e-03 eta: 10:56:08 time: 0.9136 data_time: 0.0273 memory: 11089 grad_norm: 5.3553 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2017 loss: 1.2017 2022/08/04 02:55:36 - mmengine - INFO - Epoch(train) [128][60/1879] lr: 2.0000e-03 eta: 10:55:50 time: 0.9230 data_time: 0.0309 memory: 11089 grad_norm: 5.5271 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3060 loss: 1.3060 2022/08/04 02:55:55 - mmengine - INFO - Epoch(train) [128][80/1879] lr: 2.0000e-03 eta: 10:55:32 time: 0.9374 data_time: 0.0307 memory: 11089 grad_norm: 5.4870 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1510 loss: 1.1510 2022/08/04 02:56:13 - mmengine - INFO - Epoch(train) [128][100/1879] lr: 2.0000e-03 eta: 10:55:14 time: 0.9187 data_time: 0.0306 memory: 11089 grad_norm: 5.5079 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1690 loss: 1.1690 2022/08/04 02:56:31 - mmengine - INFO - Epoch(train) [128][120/1879] lr: 2.0000e-03 eta: 10:54:55 time: 0.9277 data_time: 0.0269 memory: 11089 grad_norm: 5.5088 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1729 loss: 1.1729 2022/08/04 02:56:50 - mmengine - INFO - Epoch(train) [128][140/1879] lr: 2.0000e-03 eta: 10:54:37 time: 0.9359 data_time: 0.0299 memory: 11089 grad_norm: 5.5817 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2340 loss: 1.2340 2022/08/04 02:57:08 - mmengine - INFO - Epoch(train) [128][160/1879] lr: 2.0000e-03 eta: 10:54:19 time: 0.9056 data_time: 0.0236 memory: 11089 grad_norm: 5.5198 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3383 loss: 1.3383 2022/08/04 02:57:27 - mmengine - INFO - Epoch(train) [128][180/1879] lr: 2.0000e-03 eta: 10:54:01 time: 0.9227 data_time: 0.0298 memory: 11089 grad_norm: 5.3826 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.3216 loss: 1.3216 2022/08/04 02:57:45 - mmengine - INFO - Epoch(train) [128][200/1879] lr: 2.0000e-03 eta: 10:53:43 time: 0.9147 data_time: 0.0236 memory: 11089 grad_norm: 5.5245 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2627 loss: 1.2627 2022/08/04 02:58:04 - mmengine - INFO - Epoch(train) [128][220/1879] lr: 2.0000e-03 eta: 10:53:24 time: 0.9338 data_time: 0.0274 memory: 11089 grad_norm: 5.5525 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1453 loss: 1.1453 2022/08/04 02:58:22 - mmengine - INFO - Epoch(train) [128][240/1879] lr: 2.0000e-03 eta: 10:53:06 time: 0.9371 data_time: 0.0272 memory: 11089 grad_norm: 5.3900 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2167 loss: 1.2167 2022/08/04 02:58:41 - mmengine - INFO - Epoch(train) [128][260/1879] lr: 2.0000e-03 eta: 10:52:48 time: 0.9345 data_time: 0.0265 memory: 11089 grad_norm: 5.5219 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2511 loss: 1.2511 2022/08/04 02:58:59 - mmengine - INFO - Epoch(train) [128][280/1879] lr: 2.0000e-03 eta: 10:52:30 time: 0.9102 data_time: 0.0293 memory: 11089 grad_norm: 5.4734 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3226 loss: 1.3226 2022/08/04 02:59:18 - mmengine - INFO - Epoch(train) [128][300/1879] lr: 2.0000e-03 eta: 10:52:12 time: 0.9076 data_time: 0.0231 memory: 11089 grad_norm: 5.4050 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2349 loss: 1.2349 2022/08/04 02:59:37 - mmengine - INFO - Epoch(train) [128][320/1879] lr: 2.0000e-03 eta: 10:51:54 time: 0.9495 data_time: 0.0333 memory: 11089 grad_norm: 5.4150 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1746 loss: 1.1746 2022/08/04 02:59:55 - mmengine - INFO - Epoch(train) [128][340/1879] lr: 2.0000e-03 eta: 10:51:35 time: 0.9317 data_time: 0.0203 memory: 11089 grad_norm: 5.5054 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.3110 loss: 1.3110 2022/08/04 03:00:14 - mmengine - INFO - Epoch(train) [128][360/1879] lr: 2.0000e-03 eta: 10:51:17 time: 0.9323 data_time: 0.0382 memory: 11089 grad_norm: 5.5395 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0976 loss: 1.0976 2022/08/04 03:00:20 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 03:00:32 - mmengine - INFO - Epoch(train) [128][380/1879] lr: 2.0000e-03 eta: 10:50:59 time: 0.9152 data_time: 0.0261 memory: 11089 grad_norm: 5.5781 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3259 loss: 1.3259 2022/08/04 03:00:50 - mmengine - INFO - Epoch(train) [128][400/1879] lr: 2.0000e-03 eta: 10:50:41 time: 0.9032 data_time: 0.0205 memory: 11089 grad_norm: 5.5650 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2497 loss: 1.2497 2022/08/04 03:01:09 - mmengine - INFO - Epoch(train) [128][420/1879] lr: 2.0000e-03 eta: 10:50:22 time: 0.9217 data_time: 0.0243 memory: 11089 grad_norm: 5.4120 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2719 loss: 1.2719 2022/08/04 03:01:27 - mmengine - INFO - Epoch(train) [128][440/1879] lr: 2.0000e-03 eta: 10:50:04 time: 0.9241 data_time: 0.0236 memory: 11089 grad_norm: 5.4613 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2248 loss: 1.2248 2022/08/04 03:01:46 - mmengine - INFO - Epoch(train) [128][460/1879] lr: 2.0000e-03 eta: 10:49:46 time: 0.9192 data_time: 0.0224 memory: 11089 grad_norm: 5.5309 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3104 loss: 1.3104 2022/08/04 03:02:04 - mmengine - INFO - Epoch(train) [128][480/1879] lr: 2.0000e-03 eta: 10:49:28 time: 0.9329 data_time: 0.0366 memory: 11089 grad_norm: 5.5357 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3399 loss: 1.3399 2022/08/04 03:02:22 - mmengine - INFO - Epoch(train) [128][500/1879] lr: 2.0000e-03 eta: 10:49:10 time: 0.9046 data_time: 0.0246 memory: 11089 grad_norm: 5.4208 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2027 loss: 1.2027 2022/08/04 03:02:41 - mmengine - INFO - Epoch(train) [128][520/1879] lr: 2.0000e-03 eta: 10:48:51 time: 0.9103 data_time: 0.0297 memory: 11089 grad_norm: 5.4359 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1370 loss: 1.1370 2022/08/04 03:02:59 - mmengine - INFO - Epoch(train) [128][540/1879] lr: 2.0000e-03 eta: 10:48:33 time: 0.9367 data_time: 0.0237 memory: 11089 grad_norm: 5.3716 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2424 loss: 1.2424 2022/08/04 03:03:17 - mmengine - INFO - Epoch(train) [128][560/1879] lr: 2.0000e-03 eta: 10:48:15 time: 0.9089 data_time: 0.0254 memory: 11089 grad_norm: 5.7309 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2744 loss: 1.2744 2022/08/04 03:03:36 - mmengine - INFO - Epoch(train) [128][580/1879] lr: 2.0000e-03 eta: 10:47:57 time: 0.9234 data_time: 0.0207 memory: 11089 grad_norm: 5.3463 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1015 loss: 1.1015 2022/08/04 03:03:54 - mmengine - INFO - Epoch(train) [128][600/1879] lr: 2.0000e-03 eta: 10:47:39 time: 0.9225 data_time: 0.0300 memory: 11089 grad_norm: 5.6682 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1086 loss: 1.1086 2022/08/04 03:04:12 - mmengine - INFO - Epoch(train) [128][620/1879] lr: 2.0000e-03 eta: 10:47:20 time: 0.9029 data_time: 0.0280 memory: 11089 grad_norm: 5.5888 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1784 loss: 1.1784 2022/08/04 03:04:31 - mmengine - INFO - Epoch(train) [128][640/1879] lr: 2.0000e-03 eta: 10:47:02 time: 0.9293 data_time: 0.0349 memory: 11089 grad_norm: 5.5644 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1945 loss: 1.1945 2022/08/04 03:04:50 - mmengine - INFO - Epoch(train) [128][660/1879] lr: 2.0000e-03 eta: 10:46:44 time: 0.9408 data_time: 0.0271 memory: 11089 grad_norm: 5.5857 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2185 loss: 1.2185 2022/08/04 03:05:08 - mmengine - INFO - Epoch(train) [128][680/1879] lr: 2.0000e-03 eta: 10:46:26 time: 0.9166 data_time: 0.0274 memory: 11089 grad_norm: 5.7032 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3828 loss: 1.3828 2022/08/04 03:05:27 - mmengine - INFO - Epoch(train) [128][700/1879] lr: 2.0000e-03 eta: 10:46:08 time: 0.9254 data_time: 0.0307 memory: 11089 grad_norm: 5.5427 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4898 loss: 1.4898 2022/08/04 03:05:45 - mmengine - INFO - Epoch(train) [128][720/1879] lr: 2.0000e-03 eta: 10:45:49 time: 0.8918 data_time: 0.0292 memory: 11089 grad_norm: 5.5099 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4513 loss: 1.4513 2022/08/04 03:06:03 - mmengine - INFO - Epoch(train) [128][740/1879] lr: 2.0000e-03 eta: 10:45:31 time: 0.9243 data_time: 0.0253 memory: 11089 grad_norm: 5.6250 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2608 loss: 1.2608 2022/08/04 03:06:21 - mmengine - INFO - Epoch(train) [128][760/1879] lr: 2.0000e-03 eta: 10:45:13 time: 0.9128 data_time: 0.0244 memory: 11089 grad_norm: 5.5761 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1364 loss: 1.1364 2022/08/04 03:06:39 - mmengine - INFO - Epoch(train) [128][780/1879] lr: 2.0000e-03 eta: 10:44:55 time: 0.9097 data_time: 0.0235 memory: 11089 grad_norm: 5.6962 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2717 loss: 1.2717 2022/08/04 03:06:58 - mmengine - INFO - Epoch(train) [128][800/1879] lr: 2.0000e-03 eta: 10:44:36 time: 0.9118 data_time: 0.0303 memory: 11089 grad_norm: 5.6052 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3591 loss: 1.3591 2022/08/04 03:07:17 - mmengine - INFO - Epoch(train) [128][820/1879] lr: 2.0000e-03 eta: 10:44:18 time: 0.9396 data_time: 0.0362 memory: 11089 grad_norm: 5.6955 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0701 loss: 1.0701 2022/08/04 03:07:34 - mmengine - INFO - Epoch(train) [128][840/1879] lr: 2.0000e-03 eta: 10:44:00 time: 0.8957 data_time: 0.0208 memory: 11089 grad_norm: 5.5186 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1576 loss: 1.1576 2022/08/04 03:07:53 - mmengine - INFO - Epoch(train) [128][860/1879] lr: 2.0000e-03 eta: 10:43:42 time: 0.9247 data_time: 0.0288 memory: 11089 grad_norm: 5.4721 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0941 loss: 1.0941 2022/08/04 03:08:11 - mmengine - INFO - Epoch(train) [128][880/1879] lr: 2.0000e-03 eta: 10:43:24 time: 0.9080 data_time: 0.0285 memory: 11089 grad_norm: 5.4556 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2243 loss: 1.2243 2022/08/04 03:08:29 - mmengine - INFO - Epoch(train) [128][900/1879] lr: 2.0000e-03 eta: 10:43:05 time: 0.9137 data_time: 0.0240 memory: 11089 grad_norm: 5.5301 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1610 loss: 1.1610 2022/08/04 03:08:48 - mmengine - INFO - Epoch(train) [128][920/1879] lr: 2.0000e-03 eta: 10:42:47 time: 0.9293 data_time: 0.0293 memory: 11089 grad_norm: 5.5026 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1668 loss: 1.1668 2022/08/04 03:09:06 - mmengine - INFO - Epoch(train) [128][940/1879] lr: 2.0000e-03 eta: 10:42:29 time: 0.9082 data_time: 0.0280 memory: 11089 grad_norm: 5.6291 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3638 loss: 1.3638 2022/08/04 03:09:25 - mmengine - INFO - Epoch(train) [128][960/1879] lr: 2.0000e-03 eta: 10:42:11 time: 0.9303 data_time: 0.0275 memory: 11089 grad_norm: 5.6609 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2393 loss: 1.2393 2022/08/04 03:09:43 - mmengine - INFO - Epoch(train) [128][980/1879] lr: 2.0000e-03 eta: 10:41:52 time: 0.9085 data_time: 0.0246 memory: 11089 grad_norm: 5.5863 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3375 loss: 1.3375 2022/08/04 03:10:02 - mmengine - INFO - Epoch(train) [128][1000/1879] lr: 2.0000e-03 eta: 10:41:34 time: 0.9346 data_time: 0.0244 memory: 11089 grad_norm: 5.4634 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.1904 loss: 1.1904 2022/08/04 03:10:20 - mmengine - INFO - Epoch(train) [128][1020/1879] lr: 2.0000e-03 eta: 10:41:16 time: 0.8993 data_time: 0.0246 memory: 11089 grad_norm: 5.4408 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3481 loss: 1.3481 2022/08/04 03:10:38 - mmengine - INFO - Epoch(train) [128][1040/1879] lr: 2.0000e-03 eta: 10:40:58 time: 0.9003 data_time: 0.0296 memory: 11089 grad_norm: 5.4174 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1054 loss: 1.1054 2022/08/04 03:10:56 - mmengine - INFO - Epoch(train) [128][1060/1879] lr: 2.0000e-03 eta: 10:40:40 time: 0.9330 data_time: 0.0268 memory: 11089 grad_norm: 5.6704 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3636 loss: 1.3636 2022/08/04 03:11:15 - mmengine - INFO - Epoch(train) [128][1080/1879] lr: 2.0000e-03 eta: 10:40:21 time: 0.9366 data_time: 0.0372 memory: 11089 grad_norm: 5.4474 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3750 loss: 1.3750 2022/08/04 03:11:33 - mmengine - INFO - Epoch(train) [128][1100/1879] lr: 2.0000e-03 eta: 10:40:03 time: 0.9096 data_time: 0.0222 memory: 11089 grad_norm: 5.6626 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4370 loss: 1.4370 2022/08/04 03:11:51 - mmengine - INFO - Epoch(train) [128][1120/1879] lr: 2.0000e-03 eta: 10:39:45 time: 0.9071 data_time: 0.0259 memory: 11089 grad_norm: 5.6675 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1790 loss: 1.1790 2022/08/04 03:12:10 - mmengine - INFO - Epoch(train) [128][1140/1879] lr: 2.0000e-03 eta: 10:39:27 time: 0.9405 data_time: 0.0300 memory: 11089 grad_norm: 5.6153 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2704 loss: 1.2704 2022/08/04 03:12:29 - mmengine - INFO - Epoch(train) [128][1160/1879] lr: 2.0000e-03 eta: 10:39:09 time: 0.9225 data_time: 0.0221 memory: 11089 grad_norm: 5.6132 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1807 loss: 1.1807 2022/08/04 03:12:47 - mmengine - INFO - Epoch(train) [128][1180/1879] lr: 2.0000e-03 eta: 10:38:50 time: 0.9286 data_time: 0.0283 memory: 11089 grad_norm: 5.4043 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0999 loss: 1.0999 2022/08/04 03:13:05 - mmengine - INFO - Epoch(train) [128][1200/1879] lr: 2.0000e-03 eta: 10:38:32 time: 0.9046 data_time: 0.0211 memory: 11089 grad_norm: 5.5446 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.3525 loss: 1.3525 2022/08/04 03:13:24 - mmengine - INFO - Epoch(train) [128][1220/1879] lr: 2.0000e-03 eta: 10:38:14 time: 0.9305 data_time: 0.0343 memory: 11089 grad_norm: 5.5357 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1609 loss: 1.1609 2022/08/04 03:13:42 - mmengine - INFO - Epoch(train) [128][1240/1879] lr: 2.0000e-03 eta: 10:37:56 time: 0.9242 data_time: 0.0259 memory: 11089 grad_norm: 5.5602 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1812 loss: 1.1812 2022/08/04 03:14:01 - mmengine - INFO - Epoch(train) [128][1260/1879] lr: 2.0000e-03 eta: 10:37:38 time: 0.9218 data_time: 0.0191 memory: 11089 grad_norm: 5.6986 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2906 loss: 1.2906 2022/08/04 03:14:19 - mmengine - INFO - Epoch(train) [128][1280/1879] lr: 2.0000e-03 eta: 10:37:19 time: 0.9094 data_time: 0.0284 memory: 11089 grad_norm: 5.5013 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3570 loss: 1.3570 2022/08/04 03:14:37 - mmengine - INFO - Epoch(train) [128][1300/1879] lr: 2.0000e-03 eta: 10:37:01 time: 0.8832 data_time: 0.0240 memory: 11089 grad_norm: 5.7076 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3805 loss: 1.3805 2022/08/04 03:14:55 - mmengine - INFO - Epoch(train) [128][1320/1879] lr: 2.0000e-03 eta: 10:36:43 time: 0.8935 data_time: 0.0246 memory: 11089 grad_norm: 5.4049 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1955 loss: 1.1955 2022/08/04 03:15:13 - mmengine - INFO - Epoch(train) [128][1340/1879] lr: 2.0000e-03 eta: 10:36:25 time: 0.9355 data_time: 0.0251 memory: 11089 grad_norm: 5.4573 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1644 loss: 1.1644 2022/08/04 03:15:32 - mmengine - INFO - Epoch(train) [128][1360/1879] lr: 2.0000e-03 eta: 10:36:06 time: 0.9196 data_time: 0.0280 memory: 11089 grad_norm: 5.4422 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2116 loss: 1.2116 2022/08/04 03:15:38 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 03:15:50 - mmengine - INFO - Epoch(train) [128][1380/1879] lr: 2.0000e-03 eta: 10:35:48 time: 0.9063 data_time: 0.0290 memory: 11089 grad_norm: 5.5150 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2369 loss: 1.2369 2022/08/04 03:16:08 - mmengine - INFO - Epoch(train) [128][1400/1879] lr: 2.0000e-03 eta: 10:35:30 time: 0.8965 data_time: 0.0323 memory: 11089 grad_norm: 5.4367 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.2141 loss: 1.2141 2022/08/04 03:16:26 - mmengine - INFO - Epoch(train) [128][1420/1879] lr: 2.0000e-03 eta: 10:35:12 time: 0.9246 data_time: 0.0254 memory: 11089 grad_norm: 5.5748 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2736 loss: 1.2736 2022/08/04 03:16:45 - mmengine - INFO - Epoch(train) [128][1440/1879] lr: 2.0000e-03 eta: 10:34:53 time: 0.9336 data_time: 0.0284 memory: 11089 grad_norm: 5.6095 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1835 loss: 1.1835 2022/08/04 03:17:04 - mmengine - INFO - Epoch(train) [128][1460/1879] lr: 2.0000e-03 eta: 10:34:35 time: 0.9318 data_time: 0.0330 memory: 11089 grad_norm: 5.5065 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1839 loss: 1.1839 2022/08/04 03:17:22 - mmengine - INFO - Epoch(train) [128][1480/1879] lr: 2.0000e-03 eta: 10:34:17 time: 0.9197 data_time: 0.0279 memory: 11089 grad_norm: 5.4893 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1116 loss: 1.1116 2022/08/04 03:17:41 - mmengine - INFO - Epoch(train) [128][1500/1879] lr: 2.0000e-03 eta: 10:33:59 time: 0.9391 data_time: 0.0327 memory: 11089 grad_norm: 5.6090 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2436 loss: 1.2436 2022/08/04 03:17:59 - mmengine - INFO - Epoch(train) [128][1520/1879] lr: 2.0000e-03 eta: 10:33:41 time: 0.9289 data_time: 0.0288 memory: 11089 grad_norm: 5.6756 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3669 loss: 1.3669 2022/08/04 03:18:18 - mmengine - INFO - Epoch(train) [128][1540/1879] lr: 2.0000e-03 eta: 10:33:23 time: 0.9063 data_time: 0.0302 memory: 11089 grad_norm: 5.5346 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1541 loss: 1.1541 2022/08/04 03:18:36 - mmengine - INFO - Epoch(train) [128][1560/1879] lr: 2.0000e-03 eta: 10:33:04 time: 0.9059 data_time: 0.0281 memory: 11089 grad_norm: 5.3548 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1694 loss: 1.1694 2022/08/04 03:18:54 - mmengine - INFO - Epoch(train) [128][1580/1879] lr: 2.0000e-03 eta: 10:32:46 time: 0.9121 data_time: 0.0263 memory: 11089 grad_norm: 5.6906 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2227 loss: 1.2227 2022/08/04 03:19:12 - mmengine - INFO - Epoch(train) [128][1600/1879] lr: 2.0000e-03 eta: 10:32:28 time: 0.9180 data_time: 0.0284 memory: 11089 grad_norm: 5.5355 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2800 loss: 1.2800 2022/08/04 03:19:31 - mmengine - INFO - Epoch(train) [128][1620/1879] lr: 2.0000e-03 eta: 10:32:10 time: 0.9122 data_time: 0.0295 memory: 11089 grad_norm: 5.5815 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2521 loss: 1.2521 2022/08/04 03:19:49 - mmengine - INFO - Epoch(train) [128][1640/1879] lr: 2.0000e-03 eta: 10:31:51 time: 0.9016 data_time: 0.0277 memory: 11089 grad_norm: 5.5189 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0406 loss: 1.0406 2022/08/04 03:20:07 - mmengine - INFO - Epoch(train) [128][1660/1879] lr: 2.0000e-03 eta: 10:31:33 time: 0.9007 data_time: 0.0261 memory: 11089 grad_norm: 5.4761 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1319 loss: 1.1319 2022/08/04 03:20:25 - mmengine - INFO - Epoch(train) [128][1680/1879] lr: 2.0000e-03 eta: 10:31:15 time: 0.9281 data_time: 0.0278 memory: 11089 grad_norm: 5.7670 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1260 loss: 1.1260 2022/08/04 03:20:44 - mmengine - INFO - Epoch(train) [128][1700/1879] lr: 2.0000e-03 eta: 10:30:57 time: 0.9193 data_time: 0.0323 memory: 11089 grad_norm: 5.4781 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0890 loss: 1.0890 2022/08/04 03:21:01 - mmengine - INFO - Epoch(train) [128][1720/1879] lr: 2.0000e-03 eta: 10:30:38 time: 0.8952 data_time: 0.0258 memory: 11089 grad_norm: 5.4726 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3566 loss: 1.3566 2022/08/04 03:21:19 - mmengine - INFO - Epoch(train) [128][1740/1879] lr: 2.0000e-03 eta: 10:30:20 time: 0.8973 data_time: 0.0255 memory: 11089 grad_norm: 5.6840 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4067 loss: 1.4067 2022/08/04 03:21:38 - mmengine - INFO - Epoch(train) [128][1760/1879] lr: 2.0000e-03 eta: 10:30:02 time: 0.9112 data_time: 0.0224 memory: 11089 grad_norm: 5.4412 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.1990 loss: 1.1990 2022/08/04 03:21:56 - mmengine - INFO - Epoch(train) [128][1780/1879] lr: 2.0000e-03 eta: 10:29:44 time: 0.9362 data_time: 0.0319 memory: 11089 grad_norm: 5.5377 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1753 loss: 1.1753 2022/08/04 03:22:15 - mmengine - INFO - Epoch(train) [128][1800/1879] lr: 2.0000e-03 eta: 10:29:26 time: 0.9327 data_time: 0.0203 memory: 11089 grad_norm: 5.7344 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2668 loss: 1.2668 2022/08/04 03:22:34 - mmengine - INFO - Epoch(train) [128][1820/1879] lr: 2.0000e-03 eta: 10:29:07 time: 0.9361 data_time: 0.0284 memory: 11089 grad_norm: 5.5164 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2879 loss: 1.2879 2022/08/04 03:22:52 - mmengine - INFO - Epoch(train) [128][1840/1879] lr: 2.0000e-03 eta: 10:28:49 time: 0.9317 data_time: 0.0223 memory: 11089 grad_norm: 5.5379 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1231 loss: 1.1231 2022/08/04 03:23:11 - mmengine - INFO - Epoch(train) [128][1860/1879] lr: 2.0000e-03 eta: 10:28:31 time: 0.9228 data_time: 0.0321 memory: 11089 grad_norm: 5.4111 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3197 loss: 1.3197 2022/08/04 03:23:28 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 03:23:28 - mmengine - INFO - Epoch(train) [128][1879/1879] lr: 2.0000e-03 eta: 10:28:31 time: 0.8906 data_time: 0.0318 memory: 11089 grad_norm: 5.6550 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.3815 loss: 1.3815 2022/08/04 03:23:28 - mmengine - INFO - Saving checkpoint at 128 epochs 2022/08/04 03:23:50 - mmengine - INFO - Epoch(train) [129][20/1879] lr: 2.0000e-03 eta: 10:27:53 time: 0.9886 data_time: 0.0942 memory: 11089 grad_norm: 5.4659 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1124 loss: 1.1124 2022/08/04 03:24:09 - mmengine - INFO - Epoch(train) [129][40/1879] lr: 2.0000e-03 eta: 10:27:35 time: 0.9253 data_time: 0.0326 memory: 11089 grad_norm: 5.5172 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2902 loss: 1.2902 2022/08/04 03:24:27 - mmengine - INFO - Epoch(train) [129][60/1879] lr: 2.0000e-03 eta: 10:27:16 time: 0.9203 data_time: 0.0283 memory: 11089 grad_norm: 5.5259 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0584 loss: 1.0584 2022/08/04 03:24:46 - mmengine - INFO - Epoch(train) [129][80/1879] lr: 2.0000e-03 eta: 10:26:58 time: 0.9229 data_time: 0.0269 memory: 11089 grad_norm: 5.4289 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0561 loss: 1.0561 2022/08/04 03:25:04 - mmengine - INFO - Epoch(train) [129][100/1879] lr: 2.0000e-03 eta: 10:26:40 time: 0.9234 data_time: 0.0312 memory: 11089 grad_norm: 5.3587 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1276 loss: 1.1276 2022/08/04 03:25:23 - mmengine - INFO - Epoch(train) [129][120/1879] lr: 2.0000e-03 eta: 10:26:22 time: 0.9199 data_time: 0.0262 memory: 11089 grad_norm: 5.6559 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3498 loss: 1.3498 2022/08/04 03:25:41 - mmengine - INFO - Epoch(train) [129][140/1879] lr: 2.0000e-03 eta: 10:26:03 time: 0.9130 data_time: 0.0253 memory: 11089 grad_norm: 5.4452 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2062 loss: 1.2062 2022/08/04 03:25:59 - mmengine - INFO - Epoch(train) [129][160/1879] lr: 2.0000e-03 eta: 10:25:45 time: 0.9095 data_time: 0.0279 memory: 11089 grad_norm: 5.3387 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.2911 loss: 1.2911 2022/08/04 03:26:17 - mmengine - INFO - Epoch(train) [129][180/1879] lr: 2.0000e-03 eta: 10:25:27 time: 0.9080 data_time: 0.0227 memory: 11089 grad_norm: 5.4962 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.3630 loss: 1.3630 2022/08/04 03:26:36 - mmengine - INFO - Epoch(train) [129][200/1879] lr: 2.0000e-03 eta: 10:25:09 time: 0.9200 data_time: 0.0263 memory: 11089 grad_norm: 5.3797 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1570 loss: 1.1570 2022/08/04 03:26:54 - mmengine - INFO - Epoch(train) [129][220/1879] lr: 2.0000e-03 eta: 10:24:51 time: 0.9122 data_time: 0.0285 memory: 11089 grad_norm: 5.5029 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2725 loss: 1.2725 2022/08/04 03:27:13 - mmengine - INFO - Epoch(train) [129][240/1879] lr: 2.0000e-03 eta: 10:24:32 time: 0.9327 data_time: 0.0367 memory: 11089 grad_norm: 5.6559 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1745 loss: 1.1745 2022/08/04 03:27:31 - mmengine - INFO - Epoch(train) [129][260/1879] lr: 2.0000e-03 eta: 10:24:14 time: 0.9245 data_time: 0.0237 memory: 11089 grad_norm: 5.4846 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3169 loss: 1.3169 2022/08/04 03:27:50 - mmengine - INFO - Epoch(train) [129][280/1879] lr: 2.0000e-03 eta: 10:23:56 time: 0.9344 data_time: 0.0310 memory: 11089 grad_norm: 5.7540 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1811 loss: 1.1811 2022/08/04 03:28:08 - mmengine - INFO - Epoch(train) [129][300/1879] lr: 2.0000e-03 eta: 10:23:38 time: 0.9339 data_time: 0.0321 memory: 11089 grad_norm: 5.6416 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3355 loss: 1.3355 2022/08/04 03:28:27 - mmengine - INFO - Epoch(train) [129][320/1879] lr: 2.0000e-03 eta: 10:23:20 time: 0.9115 data_time: 0.0303 memory: 11089 grad_norm: 5.5238 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3434 loss: 1.3434 2022/08/04 03:28:45 - mmengine - INFO - Epoch(train) [129][340/1879] lr: 2.0000e-03 eta: 10:23:01 time: 0.9392 data_time: 0.0301 memory: 11089 grad_norm: 5.6056 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1848 loss: 1.1848 2022/08/04 03:29:04 - mmengine - INFO - Epoch(train) [129][360/1879] lr: 2.0000e-03 eta: 10:22:43 time: 0.9262 data_time: 0.0290 memory: 11089 grad_norm: 5.5788 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3029 loss: 1.3029 2022/08/04 03:29:22 - mmengine - INFO - Epoch(train) [129][380/1879] lr: 2.0000e-03 eta: 10:22:25 time: 0.9118 data_time: 0.0257 memory: 11089 grad_norm: 5.5762 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3118 loss: 1.3118 2022/08/04 03:29:40 - mmengine - INFO - Epoch(train) [129][400/1879] lr: 2.0000e-03 eta: 10:22:07 time: 0.8983 data_time: 0.0255 memory: 11089 grad_norm: 5.6016 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2219 loss: 1.2219 2022/08/04 03:29:59 - mmengine - INFO - Epoch(train) [129][420/1879] lr: 2.0000e-03 eta: 10:21:49 time: 0.9174 data_time: 0.0330 memory: 11089 grad_norm: 5.7629 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2199 loss: 1.2199 2022/08/04 03:30:17 - mmengine - INFO - Epoch(train) [129][440/1879] lr: 2.0000e-03 eta: 10:21:30 time: 0.9195 data_time: 0.0264 memory: 11089 grad_norm: 5.6697 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1057 loss: 1.1057 2022/08/04 03:30:35 - mmengine - INFO - Epoch(train) [129][460/1879] lr: 2.0000e-03 eta: 10:21:12 time: 0.9020 data_time: 0.0247 memory: 11089 grad_norm: 5.6369 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2077 loss: 1.2077 2022/08/04 03:30:53 - mmengine - INFO - Epoch(train) [129][480/1879] lr: 2.0000e-03 eta: 10:20:54 time: 0.9128 data_time: 0.0245 memory: 11089 grad_norm: 5.4486 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2143 loss: 1.2143 2022/08/04 03:31:01 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 03:31:12 - mmengine - INFO - Epoch(train) [129][500/1879] lr: 2.0000e-03 eta: 10:20:36 time: 0.9404 data_time: 0.0258 memory: 11089 grad_norm: 5.4202 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0377 loss: 1.0377 2022/08/04 03:31:30 - mmengine - INFO - Epoch(train) [129][520/1879] lr: 2.0000e-03 eta: 10:20:17 time: 0.9172 data_time: 0.0319 memory: 11089 grad_norm: 5.5466 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2615 loss: 1.2615 2022/08/04 03:31:49 - mmengine - INFO - Epoch(train) [129][540/1879] lr: 2.0000e-03 eta: 10:19:59 time: 0.9262 data_time: 0.0234 memory: 11089 grad_norm: 5.5676 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2317 loss: 1.2317 2022/08/04 03:32:07 - mmengine - INFO - Epoch(train) [129][560/1879] lr: 2.0000e-03 eta: 10:19:41 time: 0.9173 data_time: 0.0324 memory: 11089 grad_norm: 5.5857 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9360 loss: 0.9360 2022/08/04 03:32:26 - mmengine - INFO - Epoch(train) [129][580/1879] lr: 2.0000e-03 eta: 10:19:23 time: 0.9220 data_time: 0.0264 memory: 11089 grad_norm: 5.3346 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2571 loss: 1.2571 2022/08/04 03:32:44 - mmengine - INFO - Epoch(train) [129][600/1879] lr: 2.0000e-03 eta: 10:19:05 time: 0.9095 data_time: 0.0279 memory: 11089 grad_norm: 5.5216 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1391 loss: 1.1391 2022/08/04 03:33:03 - mmengine - INFO - Epoch(train) [129][620/1879] lr: 2.0000e-03 eta: 10:18:46 time: 0.9370 data_time: 0.0276 memory: 11089 grad_norm: 5.6602 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1411 loss: 1.1411 2022/08/04 03:33:21 - mmengine - INFO - Epoch(train) [129][640/1879] lr: 2.0000e-03 eta: 10:18:28 time: 0.8990 data_time: 0.0204 memory: 11089 grad_norm: 5.6829 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3920 loss: 1.3920 2022/08/04 03:33:39 - mmengine - INFO - Epoch(train) [129][660/1879] lr: 2.0000e-03 eta: 10:18:10 time: 0.9183 data_time: 0.0278 memory: 11089 grad_norm: 5.4093 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1617 loss: 1.1617 2022/08/04 03:33:57 - mmengine - INFO - Epoch(train) [129][680/1879] lr: 2.0000e-03 eta: 10:17:52 time: 0.9091 data_time: 0.0307 memory: 11089 grad_norm: 5.4668 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9790 loss: 0.9790 2022/08/04 03:34:15 - mmengine - INFO - Epoch(train) [129][700/1879] lr: 2.0000e-03 eta: 10:17:34 time: 0.9106 data_time: 0.0287 memory: 11089 grad_norm: 5.5596 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4644 loss: 1.4644 2022/08/04 03:34:34 - mmengine - INFO - Epoch(train) [129][720/1879] lr: 2.0000e-03 eta: 10:17:15 time: 0.9095 data_time: 0.0227 memory: 11089 grad_norm: 5.6278 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2589 loss: 1.2589 2022/08/04 03:34:52 - mmengine - INFO - Epoch(train) [129][740/1879] lr: 2.0000e-03 eta: 10:16:57 time: 0.9056 data_time: 0.0261 memory: 11089 grad_norm: 5.5417 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1025 loss: 1.1025 2022/08/04 03:35:10 - mmengine - INFO - Epoch(train) [129][760/1879] lr: 2.0000e-03 eta: 10:16:39 time: 0.9368 data_time: 0.0271 memory: 11089 grad_norm: 5.8342 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1331 loss: 1.1331 2022/08/04 03:35:29 - mmengine - INFO - Epoch(train) [129][780/1879] lr: 2.0000e-03 eta: 10:16:21 time: 0.9287 data_time: 0.0211 memory: 11089 grad_norm: 5.6246 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1891 loss: 1.1891 2022/08/04 03:35:47 - mmengine - INFO - Epoch(train) [129][800/1879] lr: 2.0000e-03 eta: 10:16:02 time: 0.9037 data_time: 0.0277 memory: 11089 grad_norm: 5.6443 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3341 loss: 1.3341 2022/08/04 03:36:05 - mmengine - INFO - Epoch(train) [129][820/1879] lr: 2.0000e-03 eta: 10:15:44 time: 0.9171 data_time: 0.0330 memory: 11089 grad_norm: 5.6311 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1641 loss: 1.1641 2022/08/04 03:36:24 - mmengine - INFO - Epoch(train) [129][840/1879] lr: 2.0000e-03 eta: 10:15:26 time: 0.9039 data_time: 0.0243 memory: 11089 grad_norm: 5.6238 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3836 loss: 1.3836 2022/08/04 03:36:42 - mmengine - INFO - Epoch(train) [129][860/1879] lr: 2.0000e-03 eta: 10:15:08 time: 0.9088 data_time: 0.0278 memory: 11089 grad_norm: 5.6249 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.3694 loss: 1.3694 2022/08/04 03:37:00 - mmengine - INFO - Epoch(train) [129][880/1879] lr: 2.0000e-03 eta: 10:14:49 time: 0.9159 data_time: 0.0288 memory: 11089 grad_norm: 5.5564 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3107 loss: 1.3107 2022/08/04 03:37:19 - mmengine - INFO - Epoch(train) [129][900/1879] lr: 2.0000e-03 eta: 10:14:31 time: 0.9347 data_time: 0.0282 memory: 11089 grad_norm: 5.4074 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2042 loss: 1.2042 2022/08/04 03:37:37 - mmengine - INFO - Epoch(train) [129][920/1879] lr: 2.0000e-03 eta: 10:14:13 time: 0.9314 data_time: 0.0387 memory: 11089 grad_norm: 5.5984 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1940 loss: 1.1940 2022/08/04 03:37:56 - mmengine - INFO - Epoch(train) [129][940/1879] lr: 2.0000e-03 eta: 10:13:55 time: 0.9327 data_time: 0.0282 memory: 11089 grad_norm: 5.5840 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1962 loss: 1.1962 2022/08/04 03:38:15 - mmengine - INFO - Epoch(train) [129][960/1879] lr: 2.0000e-03 eta: 10:13:37 time: 0.9291 data_time: 0.0314 memory: 11089 grad_norm: 5.4823 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3274 loss: 1.3274 2022/08/04 03:38:33 - mmengine - INFO - Epoch(train) [129][980/1879] lr: 2.0000e-03 eta: 10:13:19 time: 0.9300 data_time: 0.0315 memory: 11089 grad_norm: 5.5264 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2315 loss: 1.2315 2022/08/04 03:38:52 - mmengine - INFO - Epoch(train) [129][1000/1879] lr: 2.0000e-03 eta: 10:13:00 time: 0.9206 data_time: 0.0240 memory: 11089 grad_norm: 5.6139 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3474 loss: 1.3474 2022/08/04 03:39:10 - mmengine - INFO - Epoch(train) [129][1020/1879] lr: 2.0000e-03 eta: 10:12:42 time: 0.9190 data_time: 0.0269 memory: 11089 grad_norm: 5.5521 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1448 loss: 1.1448 2022/08/04 03:39:29 - mmengine - INFO - Epoch(train) [129][1040/1879] lr: 2.0000e-03 eta: 10:12:24 time: 0.9241 data_time: 0.0258 memory: 11089 grad_norm: 5.5962 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1625 loss: 1.1625 2022/08/04 03:39:47 - mmengine - INFO - Epoch(train) [129][1060/1879] lr: 2.0000e-03 eta: 10:12:06 time: 0.9242 data_time: 0.0324 memory: 11089 grad_norm: 5.5616 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1919 loss: 1.1919 2022/08/04 03:40:05 - mmengine - INFO - Epoch(train) [129][1080/1879] lr: 2.0000e-03 eta: 10:11:48 time: 0.9133 data_time: 0.0217 memory: 11089 grad_norm: 5.5339 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1690 loss: 1.1690 2022/08/04 03:40:24 - mmengine - INFO - Epoch(train) [129][1100/1879] lr: 2.0000e-03 eta: 10:11:29 time: 0.9206 data_time: 0.0295 memory: 11089 grad_norm: 6.3796 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3988 loss: 1.3988 2022/08/04 03:40:42 - mmengine - INFO - Epoch(train) [129][1120/1879] lr: 2.0000e-03 eta: 10:11:11 time: 0.9021 data_time: 0.0246 memory: 11089 grad_norm: 5.5617 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2037 loss: 1.2037 2022/08/04 03:41:00 - mmengine - INFO - Epoch(train) [129][1140/1879] lr: 2.0000e-03 eta: 10:10:53 time: 0.8914 data_time: 0.0267 memory: 11089 grad_norm: 5.5231 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3363 loss: 1.3363 2022/08/04 03:41:18 - mmengine - INFO - Epoch(train) [129][1160/1879] lr: 2.0000e-03 eta: 10:10:35 time: 0.9282 data_time: 0.0282 memory: 11089 grad_norm: 5.5945 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3132 loss: 1.3132 2022/08/04 03:41:37 - mmengine - INFO - Epoch(train) [129][1180/1879] lr: 2.0000e-03 eta: 10:10:16 time: 0.9207 data_time: 0.0248 memory: 11089 grad_norm: 5.4854 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2429 loss: 1.2429 2022/08/04 03:41:55 - mmengine - INFO - Epoch(train) [129][1200/1879] lr: 2.0000e-03 eta: 10:09:58 time: 0.9242 data_time: 0.0330 memory: 11089 grad_norm: 5.4480 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2968 loss: 1.2968 2022/08/04 03:42:13 - mmengine - INFO - Epoch(train) [129][1220/1879] lr: 2.0000e-03 eta: 10:09:40 time: 0.9105 data_time: 0.0288 memory: 11089 grad_norm: 5.6091 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0891 loss: 1.0891 2022/08/04 03:42:31 - mmengine - INFO - Epoch(train) [129][1240/1879] lr: 2.0000e-03 eta: 10:09:22 time: 0.8959 data_time: 0.0204 memory: 11089 grad_norm: 5.6015 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1868 loss: 1.1868 2022/08/04 03:42:50 - mmengine - INFO - Epoch(train) [129][1260/1879] lr: 2.0000e-03 eta: 10:09:03 time: 0.9264 data_time: 0.0246 memory: 11089 grad_norm: 5.7110 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2783 loss: 1.2783 2022/08/04 03:43:08 - mmengine - INFO - Epoch(train) [129][1280/1879] lr: 2.0000e-03 eta: 10:08:45 time: 0.9151 data_time: 0.0199 memory: 11089 grad_norm: 5.8490 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3205 loss: 1.3205 2022/08/04 03:43:27 - mmengine - INFO - Epoch(train) [129][1300/1879] lr: 2.0000e-03 eta: 10:08:27 time: 0.9309 data_time: 0.0244 memory: 11089 grad_norm: 5.5254 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2057 loss: 1.2057 2022/08/04 03:43:45 - mmengine - INFO - Epoch(train) [129][1320/1879] lr: 2.0000e-03 eta: 10:08:09 time: 0.9291 data_time: 0.0253 memory: 11089 grad_norm: 5.6884 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3358 loss: 1.3358 2022/08/04 03:44:04 - mmengine - INFO - Epoch(train) [129][1340/1879] lr: 2.0000e-03 eta: 10:07:51 time: 0.9122 data_time: 0.0270 memory: 11089 grad_norm: 5.5819 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2788 loss: 1.2788 2022/08/04 03:44:22 - mmengine - INFO - Epoch(train) [129][1360/1879] lr: 2.0000e-03 eta: 10:07:32 time: 0.9066 data_time: 0.0233 memory: 11089 grad_norm: 5.5327 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1328 loss: 1.1328 2022/08/04 03:44:40 - mmengine - INFO - Epoch(train) [129][1380/1879] lr: 2.0000e-03 eta: 10:07:14 time: 0.9257 data_time: 0.0265 memory: 11089 grad_norm: 5.5757 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.3050 loss: 1.3050 2022/08/04 03:44:58 - mmengine - INFO - Epoch(train) [129][1400/1879] lr: 2.0000e-03 eta: 10:06:56 time: 0.9128 data_time: 0.0262 memory: 11089 grad_norm: 5.6074 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3162 loss: 1.3162 2022/08/04 03:45:17 - mmengine - INFO - Epoch(train) [129][1420/1879] lr: 2.0000e-03 eta: 10:06:38 time: 0.9364 data_time: 0.0353 memory: 11089 grad_norm: 5.5121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0355 loss: 1.0355 2022/08/04 03:45:35 - mmengine - INFO - Epoch(train) [129][1440/1879] lr: 2.0000e-03 eta: 10:06:20 time: 0.9057 data_time: 0.0277 memory: 11089 grad_norm: 5.3896 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2539 loss: 1.2539 2022/08/04 03:45:54 - mmengine - INFO - Epoch(train) [129][1460/1879] lr: 2.0000e-03 eta: 10:06:01 time: 0.9193 data_time: 0.0325 memory: 11089 grad_norm: 5.4946 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2707 loss: 1.2707 2022/08/04 03:46:12 - mmengine - INFO - Epoch(train) [129][1480/1879] lr: 2.0000e-03 eta: 10:05:43 time: 0.9382 data_time: 0.0259 memory: 11089 grad_norm: 5.6876 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3155 loss: 1.3155 2022/08/04 03:46:20 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 03:46:31 - mmengine - INFO - Epoch(train) [129][1500/1879] lr: 2.0000e-03 eta: 10:05:25 time: 0.9209 data_time: 0.0303 memory: 11089 grad_norm: 5.7647 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2430 loss: 1.2430 2022/08/04 03:46:49 - mmengine - INFO - Epoch(train) [129][1520/1879] lr: 2.0000e-03 eta: 10:05:07 time: 0.9087 data_time: 0.0295 memory: 11089 grad_norm: 5.7010 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2380 loss: 1.2380 2022/08/04 03:47:08 - mmengine - INFO - Epoch(train) [129][1540/1879] lr: 2.0000e-03 eta: 10:04:49 time: 0.9192 data_time: 0.0283 memory: 11089 grad_norm: 5.6726 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.2818 loss: 1.2818 2022/08/04 03:47:26 - mmengine - INFO - Epoch(train) [129][1560/1879] lr: 2.0000e-03 eta: 10:04:30 time: 0.9196 data_time: 0.0316 memory: 11089 grad_norm: 5.4677 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1563 loss: 1.1563 2022/08/04 03:47:44 - mmengine - INFO - Epoch(train) [129][1580/1879] lr: 2.0000e-03 eta: 10:04:12 time: 0.9100 data_time: 0.0235 memory: 11089 grad_norm: 5.6967 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.5127 loss: 1.5127 2022/08/04 03:48:02 - mmengine - INFO - Epoch(train) [129][1600/1879] lr: 2.0000e-03 eta: 10:03:54 time: 0.8930 data_time: 0.0234 memory: 11089 grad_norm: 5.6426 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3548 loss: 1.3548 2022/08/04 03:48:20 - mmengine - INFO - Epoch(train) [129][1620/1879] lr: 2.0000e-03 eta: 10:03:36 time: 0.9141 data_time: 0.0240 memory: 11089 grad_norm: 5.6555 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2699 loss: 1.2699 2022/08/04 03:48:38 - mmengine - INFO - Epoch(train) [129][1640/1879] lr: 2.0000e-03 eta: 10:03:17 time: 0.9073 data_time: 0.0300 memory: 11089 grad_norm: 5.5334 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3031 loss: 1.3031 2022/08/04 03:48:57 - mmengine - INFO - Epoch(train) [129][1660/1879] lr: 2.0000e-03 eta: 10:02:59 time: 0.9102 data_time: 0.0275 memory: 11089 grad_norm: 5.5614 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1869 loss: 1.1869 2022/08/04 03:49:15 - mmengine - INFO - Epoch(train) [129][1680/1879] lr: 2.0000e-03 eta: 10:02:41 time: 0.9354 data_time: 0.0301 memory: 11089 grad_norm: 5.5135 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1397 loss: 1.1397 2022/08/04 03:49:33 - mmengine - INFO - Epoch(train) [129][1700/1879] lr: 2.0000e-03 eta: 10:02:23 time: 0.8907 data_time: 0.0269 memory: 11089 grad_norm: 5.5198 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0823 loss: 1.0823 2022/08/04 03:49:52 - mmengine - INFO - Epoch(train) [129][1720/1879] lr: 2.0000e-03 eta: 10:02:05 time: 0.9476 data_time: 0.0344 memory: 11089 grad_norm: 5.6026 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2749 loss: 1.2749 2022/08/04 03:50:10 - mmengine - INFO - Epoch(train) [129][1740/1879] lr: 2.0000e-03 eta: 10:01:46 time: 0.9036 data_time: 0.0292 memory: 11089 grad_norm: 5.4001 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1903 loss: 1.1903 2022/08/04 03:50:29 - mmengine - INFO - Epoch(train) [129][1760/1879] lr: 2.0000e-03 eta: 10:01:28 time: 0.9357 data_time: 0.0321 memory: 11089 grad_norm: 5.4959 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2703 loss: 1.2703 2022/08/04 03:50:47 - mmengine - INFO - Epoch(train) [129][1780/1879] lr: 2.0000e-03 eta: 10:01:10 time: 0.9297 data_time: 0.0256 memory: 11089 grad_norm: 5.7539 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1768 loss: 1.1768 2022/08/04 03:51:06 - mmengine - INFO - Epoch(train) [129][1800/1879] lr: 2.0000e-03 eta: 10:00:52 time: 0.9286 data_time: 0.0309 memory: 11089 grad_norm: 5.8939 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3151 loss: 1.3151 2022/08/04 03:51:24 - mmengine - INFO - Epoch(train) [129][1820/1879] lr: 2.0000e-03 eta: 10:00:34 time: 0.9188 data_time: 0.0303 memory: 11089 grad_norm: 5.7875 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2307 loss: 1.2307 2022/08/04 03:51:42 - mmengine - INFO - Epoch(train) [129][1840/1879] lr: 2.0000e-03 eta: 10:00:15 time: 0.8978 data_time: 0.0217 memory: 11089 grad_norm: 5.5944 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1331 loss: 1.1331 2022/08/04 03:52:01 - mmengine - INFO - Epoch(train) [129][1860/1879] lr: 2.0000e-03 eta: 9:59:57 time: 0.9234 data_time: 0.0233 memory: 11089 grad_norm: 5.6525 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2329 loss: 1.2329 2022/08/04 03:52:18 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 03:52:18 - mmengine - INFO - Epoch(train) [129][1879/1879] lr: 2.0000e-03 eta: 9:59:57 time: 0.9160 data_time: 0.0405 memory: 11089 grad_norm: 5.7439 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.4382 loss: 1.4382 2022/08/04 03:52:38 - mmengine - INFO - Epoch(train) [130][20/1879] lr: 2.0000e-03 eta: 9:59:19 time: 0.9866 data_time: 0.1071 memory: 11089 grad_norm: 5.5590 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3844 loss: 1.3844 2022/08/04 03:52:56 - mmengine - INFO - Epoch(train) [130][40/1879] lr: 2.0000e-03 eta: 9:59:01 time: 0.9147 data_time: 0.0242 memory: 11089 grad_norm: 5.6597 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2088 loss: 1.2088 2022/08/04 03:53:15 - mmengine - INFO - Epoch(train) [130][60/1879] lr: 2.0000e-03 eta: 9:58:42 time: 0.9247 data_time: 0.0254 memory: 11089 grad_norm: 5.5623 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1090 loss: 1.1090 2022/08/04 03:53:33 - mmengine - INFO - Epoch(train) [130][80/1879] lr: 2.0000e-03 eta: 9:58:24 time: 0.9167 data_time: 0.0284 memory: 11089 grad_norm: 5.5621 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2869 loss: 1.2869 2022/08/04 03:53:52 - mmengine - INFO - Epoch(train) [130][100/1879] lr: 2.0000e-03 eta: 9:58:06 time: 0.9127 data_time: 0.0313 memory: 11089 grad_norm: 5.4287 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1723 loss: 1.1723 2022/08/04 03:54:10 - mmengine - INFO - Epoch(train) [130][120/1879] lr: 2.0000e-03 eta: 9:57:48 time: 0.9169 data_time: 0.0205 memory: 11089 grad_norm: 5.7974 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2745 loss: 1.2745 2022/08/04 03:54:28 - mmengine - INFO - Epoch(train) [130][140/1879] lr: 2.0000e-03 eta: 9:57:30 time: 0.9149 data_time: 0.0327 memory: 11089 grad_norm: 5.7047 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2695 loss: 1.2695 2022/08/04 03:54:46 - mmengine - INFO - Epoch(train) [130][160/1879] lr: 2.0000e-03 eta: 9:57:11 time: 0.9036 data_time: 0.0229 memory: 11089 grad_norm: 5.4071 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1939 loss: 1.1939 2022/08/04 03:55:05 - mmengine - INFO - Epoch(train) [130][180/1879] lr: 2.0000e-03 eta: 9:56:53 time: 0.9191 data_time: 0.0277 memory: 11089 grad_norm: 5.6009 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1872 loss: 1.1872 2022/08/04 03:55:23 - mmengine - INFO - Epoch(train) [130][200/1879] lr: 2.0000e-03 eta: 9:56:35 time: 0.9323 data_time: 0.0324 memory: 11089 grad_norm: 5.6528 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4711 loss: 1.4711 2022/08/04 03:55:42 - mmengine - INFO - Epoch(train) [130][220/1879] lr: 2.0000e-03 eta: 9:56:17 time: 0.9180 data_time: 0.0284 memory: 11089 grad_norm: 5.4805 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3386 loss: 1.3386 2022/08/04 03:56:00 - mmengine - INFO - Epoch(train) [130][240/1879] lr: 2.0000e-03 eta: 9:55:58 time: 0.9123 data_time: 0.0219 memory: 11089 grad_norm: 5.6122 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1466 loss: 1.1466 2022/08/04 03:56:19 - mmengine - INFO - Epoch(train) [130][260/1879] lr: 2.0000e-03 eta: 9:55:40 time: 0.9509 data_time: 0.0431 memory: 11089 grad_norm: 5.5202 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1264 loss: 1.1264 2022/08/04 03:56:37 - mmengine - INFO - Epoch(train) [130][280/1879] lr: 2.0000e-03 eta: 9:55:22 time: 0.9249 data_time: 0.0269 memory: 11089 grad_norm: 5.5116 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2468 loss: 1.2468 2022/08/04 03:56:56 - mmengine - INFO - Epoch(train) [130][300/1879] lr: 2.0000e-03 eta: 9:55:04 time: 0.9215 data_time: 0.0322 memory: 11089 grad_norm: 5.6810 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2185 loss: 1.2185 2022/08/04 03:57:14 - mmengine - INFO - Epoch(train) [130][320/1879] lr: 2.0000e-03 eta: 9:54:46 time: 0.9133 data_time: 0.0285 memory: 11089 grad_norm: 5.5844 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1159 loss: 1.1159 2022/08/04 03:57:32 - mmengine - INFO - Epoch(train) [130][340/1879] lr: 2.0000e-03 eta: 9:54:27 time: 0.9025 data_time: 0.0247 memory: 11089 grad_norm: 5.8435 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3339 loss: 1.3339 2022/08/04 03:57:50 - mmengine - INFO - Epoch(train) [130][360/1879] lr: 2.0000e-03 eta: 9:54:09 time: 0.9045 data_time: 0.0209 memory: 11089 grad_norm: 5.6277 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1363 loss: 1.1363 2022/08/04 03:58:09 - mmengine - INFO - Epoch(train) [130][380/1879] lr: 2.0000e-03 eta: 9:53:51 time: 0.9270 data_time: 0.0253 memory: 11089 grad_norm: 5.5897 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2881 loss: 1.2881 2022/08/04 03:58:28 - mmengine - INFO - Epoch(train) [130][400/1879] lr: 2.0000e-03 eta: 9:53:33 time: 0.9327 data_time: 0.0305 memory: 11089 grad_norm: 5.6333 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1085 loss: 1.1085 2022/08/04 03:58:46 - mmengine - INFO - Epoch(train) [130][420/1879] lr: 2.0000e-03 eta: 9:53:15 time: 0.9107 data_time: 0.0291 memory: 11089 grad_norm: 5.6239 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1286 loss: 1.1286 2022/08/04 03:59:04 - mmengine - INFO - Epoch(train) [130][440/1879] lr: 2.0000e-03 eta: 9:52:56 time: 0.9330 data_time: 0.0333 memory: 11089 grad_norm: 5.7185 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2207 loss: 1.2207 2022/08/04 03:59:23 - mmengine - INFO - Epoch(train) [130][460/1879] lr: 2.0000e-03 eta: 9:52:38 time: 0.9088 data_time: 0.0283 memory: 11089 grad_norm: 5.5461 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3463 loss: 1.3463 2022/08/04 03:59:41 - mmengine - INFO - Epoch(train) [130][480/1879] lr: 2.0000e-03 eta: 9:52:20 time: 0.9122 data_time: 0.0299 memory: 11089 grad_norm: 5.3576 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3937 loss: 1.3937 2022/08/04 03:59:59 - mmengine - INFO - Epoch(train) [130][500/1879] lr: 2.0000e-03 eta: 9:52:02 time: 0.9276 data_time: 0.0278 memory: 11089 grad_norm: 5.6295 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2501 loss: 1.2501 2022/08/04 04:00:18 - mmengine - INFO - Epoch(train) [130][520/1879] lr: 2.0000e-03 eta: 9:51:44 time: 0.9127 data_time: 0.0206 memory: 11089 grad_norm: 5.5682 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1813 loss: 1.1813 2022/08/04 04:00:36 - mmengine - INFO - Epoch(train) [130][540/1879] lr: 2.0000e-03 eta: 9:51:25 time: 0.9177 data_time: 0.0310 memory: 11089 grad_norm: 5.5171 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1225 loss: 1.1225 2022/08/04 04:00:54 - mmengine - INFO - Epoch(train) [130][560/1879] lr: 2.0000e-03 eta: 9:51:07 time: 0.9110 data_time: 0.0295 memory: 11089 grad_norm: 5.7953 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2309 loss: 1.2309 2022/08/04 04:01:12 - mmengine - INFO - Epoch(train) [130][580/1879] lr: 2.0000e-03 eta: 9:50:49 time: 0.9041 data_time: 0.0243 memory: 11089 grad_norm: 5.7694 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3161 loss: 1.3161 2022/08/04 04:01:31 - mmengine - INFO - Epoch(train) [130][600/1879] lr: 2.0000e-03 eta: 9:50:31 time: 0.9336 data_time: 0.0279 memory: 11089 grad_norm: 5.5040 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2336 loss: 1.2336 2022/08/04 04:01:39 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 04:01:49 - mmengine - INFO - Epoch(train) [130][620/1879] lr: 2.0000e-03 eta: 9:50:12 time: 0.9156 data_time: 0.0281 memory: 11089 grad_norm: 5.4276 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2085 loss: 1.2085 2022/08/04 04:02:07 - mmengine - INFO - Epoch(train) [130][640/1879] lr: 2.0000e-03 eta: 9:49:54 time: 0.9051 data_time: 0.0264 memory: 11089 grad_norm: 5.9270 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3047 loss: 1.3047 2022/08/04 04:02:26 - mmengine - INFO - Epoch(train) [130][660/1879] lr: 2.0000e-03 eta: 9:49:36 time: 0.9243 data_time: 0.0331 memory: 11089 grad_norm: 5.5582 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3971 loss: 1.3971 2022/08/04 04:02:45 - mmengine - INFO - Epoch(train) [130][680/1879] lr: 2.0000e-03 eta: 9:49:18 time: 0.9244 data_time: 0.0260 memory: 11089 grad_norm: 5.8708 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2332 loss: 1.2332 2022/08/04 04:03:03 - mmengine - INFO - Epoch(train) [130][700/1879] lr: 2.0000e-03 eta: 9:49:00 time: 0.9280 data_time: 0.0362 memory: 11089 grad_norm: 5.6998 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3006 loss: 1.3006 2022/08/04 04:03:21 - mmengine - INFO - Epoch(train) [130][720/1879] lr: 2.0000e-03 eta: 9:48:41 time: 0.9066 data_time: 0.0228 memory: 11089 grad_norm: 5.6761 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2114 loss: 1.2114 2022/08/04 04:03:39 - mmengine - INFO - Epoch(train) [130][740/1879] lr: 2.0000e-03 eta: 9:48:23 time: 0.9106 data_time: 0.0272 memory: 11089 grad_norm: 5.7457 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0911 loss: 1.0911 2022/08/04 04:03:58 - mmengine - INFO - Epoch(train) [130][760/1879] lr: 2.0000e-03 eta: 9:48:05 time: 0.9181 data_time: 0.0248 memory: 11089 grad_norm: 5.6350 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3356 loss: 1.3356 2022/08/04 04:04:16 - mmengine - INFO - Epoch(train) [130][780/1879] lr: 2.0000e-03 eta: 9:47:47 time: 0.8979 data_time: 0.0216 memory: 11089 grad_norm: 5.5623 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2878 loss: 1.2878 2022/08/04 04:04:34 - mmengine - INFO - Epoch(train) [130][800/1879] lr: 2.0000e-03 eta: 9:47:28 time: 0.8990 data_time: 0.0262 memory: 11089 grad_norm: 5.6015 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3154 loss: 1.3154 2022/08/04 04:04:53 - mmengine - INFO - Epoch(train) [130][820/1879] lr: 2.0000e-03 eta: 9:47:10 time: 0.9459 data_time: 0.0278 memory: 11089 grad_norm: 5.5793 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1088 loss: 1.1088 2022/08/04 04:05:11 - mmengine - INFO - Epoch(train) [130][840/1879] lr: 2.0000e-03 eta: 9:46:52 time: 0.9365 data_time: 0.0271 memory: 11089 grad_norm: 5.6360 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3066 loss: 1.3066 2022/08/04 04:05:30 - mmengine - INFO - Epoch(train) [130][860/1879] lr: 2.0000e-03 eta: 9:46:34 time: 0.9330 data_time: 0.0268 memory: 11089 grad_norm: 5.6628 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1665 loss: 1.1665 2022/08/04 04:05:49 - mmengine - INFO - Epoch(train) [130][880/1879] lr: 2.0000e-03 eta: 9:46:16 time: 0.9382 data_time: 0.0279 memory: 11089 grad_norm: 5.5825 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3275 loss: 1.3275 2022/08/04 04:06:07 - mmengine - INFO - Epoch(train) [130][900/1879] lr: 2.0000e-03 eta: 9:45:58 time: 0.9171 data_time: 0.0263 memory: 11089 grad_norm: 5.4819 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1444 loss: 1.1444 2022/08/04 04:06:26 - mmengine - INFO - Epoch(train) [130][920/1879] lr: 2.0000e-03 eta: 9:45:39 time: 0.9467 data_time: 0.0263 memory: 11089 grad_norm: 5.5331 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.1449 loss: 1.1449 2022/08/04 04:06:44 - mmengine - INFO - Epoch(train) [130][940/1879] lr: 2.0000e-03 eta: 9:45:21 time: 0.9148 data_time: 0.0307 memory: 11089 grad_norm: 5.6241 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2570 loss: 1.2570 2022/08/04 04:07:03 - mmengine - INFO - Epoch(train) [130][960/1879] lr: 2.0000e-03 eta: 9:45:03 time: 0.9157 data_time: 0.0300 memory: 11089 grad_norm: 5.6540 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1989 loss: 1.1989 2022/08/04 04:07:21 - mmengine - INFO - Epoch(train) [130][980/1879] lr: 2.0000e-03 eta: 9:44:45 time: 0.9111 data_time: 0.0279 memory: 11089 grad_norm: 5.6695 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3510 loss: 1.3510 2022/08/04 04:07:39 - mmengine - INFO - Epoch(train) [130][1000/1879] lr: 2.0000e-03 eta: 9:44:26 time: 0.9102 data_time: 0.0267 memory: 11089 grad_norm: 5.7673 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2521 loss: 1.2521 2022/08/04 04:07:58 - mmengine - INFO - Epoch(train) [130][1020/1879] lr: 2.0000e-03 eta: 9:44:08 time: 0.9185 data_time: 0.0290 memory: 11089 grad_norm: 5.5581 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1793 loss: 1.1793 2022/08/04 04:08:16 - mmengine - INFO - Epoch(train) [130][1040/1879] lr: 2.0000e-03 eta: 9:43:50 time: 0.9412 data_time: 0.0332 memory: 11089 grad_norm: 5.5745 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2032 loss: 1.2032 2022/08/04 04:08:35 - mmengine - INFO - Epoch(train) [130][1060/1879] lr: 2.0000e-03 eta: 9:43:32 time: 0.9343 data_time: 0.0345 memory: 11089 grad_norm: 5.4055 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2529 loss: 1.2529 2022/08/04 04:08:53 - mmengine - INFO - Epoch(train) [130][1080/1879] lr: 2.0000e-03 eta: 9:43:14 time: 0.9220 data_time: 0.0344 memory: 11089 grad_norm: 5.4441 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3230 loss: 1.3230 2022/08/04 04:09:11 - mmengine - INFO - Epoch(train) [130][1100/1879] lr: 2.0000e-03 eta: 9:42:55 time: 0.8937 data_time: 0.0249 memory: 11089 grad_norm: 5.5143 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1701 loss: 1.1701 2022/08/04 04:09:30 - mmengine - INFO - Epoch(train) [130][1120/1879] lr: 2.0000e-03 eta: 9:42:37 time: 0.9147 data_time: 0.0273 memory: 11089 grad_norm: 5.6239 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.1865 loss: 1.1865 2022/08/04 04:09:48 - mmengine - INFO - Epoch(train) [130][1140/1879] lr: 2.0000e-03 eta: 9:42:19 time: 0.9118 data_time: 0.0221 memory: 11089 grad_norm: 5.4348 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3385 loss: 1.3385 2022/08/04 04:10:07 - mmengine - INFO - Epoch(train) [130][1160/1879] lr: 2.0000e-03 eta: 9:42:01 time: 0.9309 data_time: 0.0250 memory: 11089 grad_norm: 5.6479 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1229 loss: 1.1229 2022/08/04 04:10:25 - mmengine - INFO - Epoch(train) [130][1180/1879] lr: 2.0000e-03 eta: 9:41:43 time: 0.9178 data_time: 0.0288 memory: 11089 grad_norm: 5.6582 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2159 loss: 1.2159 2022/08/04 04:10:43 - mmengine - INFO - Epoch(train) [130][1200/1879] lr: 2.0000e-03 eta: 9:41:24 time: 0.9010 data_time: 0.0232 memory: 11089 grad_norm: 5.5643 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1924 loss: 1.1924 2022/08/04 04:11:01 - mmengine - INFO - Epoch(train) [130][1220/1879] lr: 2.0000e-03 eta: 9:41:06 time: 0.9227 data_time: 0.0258 memory: 11089 grad_norm: 5.7040 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1337 loss: 1.1337 2022/08/04 04:11:20 - mmengine - INFO - Epoch(train) [130][1240/1879] lr: 2.0000e-03 eta: 9:40:48 time: 0.9315 data_time: 0.0359 memory: 11089 grad_norm: 5.5337 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3276 loss: 1.3276 2022/08/04 04:11:38 - mmengine - INFO - Epoch(train) [130][1260/1879] lr: 2.0000e-03 eta: 9:40:30 time: 0.8960 data_time: 0.0239 memory: 11089 grad_norm: 5.6292 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2626 loss: 1.2626 2022/08/04 04:11:56 - mmengine - INFO - Epoch(train) [130][1280/1879] lr: 2.0000e-03 eta: 9:40:11 time: 0.9103 data_time: 0.0282 memory: 11089 grad_norm: 5.6911 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2779 loss: 1.2779 2022/08/04 04:12:15 - mmengine - INFO - Epoch(train) [130][1300/1879] lr: 2.0000e-03 eta: 9:39:53 time: 0.9364 data_time: 0.0293 memory: 11089 grad_norm: 5.7695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2947 loss: 1.2947 2022/08/04 04:12:33 - mmengine - INFO - Epoch(train) [130][1320/1879] lr: 2.0000e-03 eta: 9:39:35 time: 0.9189 data_time: 0.0285 memory: 11089 grad_norm: 5.6030 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2039 loss: 1.2039 2022/08/04 04:12:52 - mmengine - INFO - Epoch(train) [130][1340/1879] lr: 2.0000e-03 eta: 9:39:17 time: 0.9237 data_time: 0.0272 memory: 11089 grad_norm: 5.4361 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2491 loss: 1.2491 2022/08/04 04:13:11 - mmengine - INFO - Epoch(train) [130][1360/1879] lr: 2.0000e-03 eta: 9:38:59 time: 0.9395 data_time: 0.0322 memory: 11089 grad_norm: 5.6165 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1787 loss: 1.1787 2022/08/04 04:13:29 - mmengine - INFO - Epoch(train) [130][1380/1879] lr: 2.0000e-03 eta: 9:38:40 time: 0.9044 data_time: 0.0287 memory: 11089 grad_norm: 5.6352 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1849 loss: 1.1849 2022/08/04 04:13:47 - mmengine - INFO - Epoch(train) [130][1400/1879] lr: 2.0000e-03 eta: 9:38:22 time: 0.9259 data_time: 0.0261 memory: 11089 grad_norm: 5.5249 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1104 loss: 1.1104 2022/08/04 04:14:06 - mmengine - INFO - Epoch(train) [130][1420/1879] lr: 2.0000e-03 eta: 9:38:04 time: 0.9420 data_time: 0.0286 memory: 11089 grad_norm: 5.7550 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4187 loss: 1.4187 2022/08/04 04:14:24 - mmengine - INFO - Epoch(train) [130][1440/1879] lr: 2.0000e-03 eta: 9:37:46 time: 0.9216 data_time: 0.0311 memory: 11089 grad_norm: 5.5237 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1515 loss: 1.1515 2022/08/04 04:14:43 - mmengine - INFO - Epoch(train) [130][1460/1879] lr: 2.0000e-03 eta: 9:37:28 time: 0.9174 data_time: 0.0264 memory: 11089 grad_norm: 5.6089 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2342 loss: 1.2342 2022/08/04 04:15:01 - mmengine - INFO - Epoch(train) [130][1480/1879] lr: 2.0000e-03 eta: 9:37:10 time: 0.9290 data_time: 0.0333 memory: 11089 grad_norm: 5.4555 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9739 loss: 0.9739 2022/08/04 04:15:20 - mmengine - INFO - Epoch(train) [130][1500/1879] lr: 2.0000e-03 eta: 9:36:51 time: 0.9202 data_time: 0.0258 memory: 11089 grad_norm: 5.6920 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1833 loss: 1.1833 2022/08/04 04:15:39 - mmengine - INFO - Epoch(train) [130][1520/1879] lr: 2.0000e-03 eta: 9:36:33 time: 0.9394 data_time: 0.0414 memory: 11089 grad_norm: 5.6264 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2646 loss: 1.2646 2022/08/04 04:15:57 - mmengine - INFO - Epoch(train) [130][1540/1879] lr: 2.0000e-03 eta: 9:36:15 time: 0.9124 data_time: 0.0297 memory: 11089 grad_norm: 5.5300 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1332 loss: 1.1332 2022/08/04 04:16:15 - mmengine - INFO - Epoch(train) [130][1560/1879] lr: 2.0000e-03 eta: 9:35:57 time: 0.9293 data_time: 0.0297 memory: 11089 grad_norm: 5.7194 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2465 loss: 1.2465 2022/08/04 04:16:34 - mmengine - INFO - Epoch(train) [130][1580/1879] lr: 2.0000e-03 eta: 9:35:39 time: 0.9290 data_time: 0.0259 memory: 11089 grad_norm: 5.5569 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2807 loss: 1.2807 2022/08/04 04:16:53 - mmengine - INFO - Epoch(train) [130][1600/1879] lr: 2.0000e-03 eta: 9:35:20 time: 0.9463 data_time: 0.0324 memory: 11089 grad_norm: 5.6194 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1864 loss: 1.1864 2022/08/04 04:17:01 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 04:17:12 - mmengine - INFO - Epoch(train) [130][1620/1879] lr: 2.0000e-03 eta: 9:35:02 time: 0.9389 data_time: 0.0318 memory: 11089 grad_norm: 5.5434 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1170 loss: 1.1170 2022/08/04 04:17:30 - mmengine - INFO - Epoch(train) [130][1640/1879] lr: 2.0000e-03 eta: 9:34:44 time: 0.9120 data_time: 0.0204 memory: 11089 grad_norm: 5.7785 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3987 loss: 1.3987 2022/08/04 04:17:49 - mmengine - INFO - Epoch(train) [130][1660/1879] lr: 2.0000e-03 eta: 9:34:26 time: 0.9496 data_time: 0.0412 memory: 11089 grad_norm: 5.7236 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3123 loss: 1.3123 2022/08/04 04:18:08 - mmengine - INFO - Epoch(train) [130][1680/1879] lr: 2.0000e-03 eta: 9:34:08 time: 0.9250 data_time: 0.0297 memory: 11089 grad_norm: 5.6070 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2258 loss: 1.2258 2022/08/04 04:18:26 - mmengine - INFO - Epoch(train) [130][1700/1879] lr: 2.0000e-03 eta: 9:33:50 time: 0.9384 data_time: 0.0308 memory: 11089 grad_norm: 5.8332 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3516 loss: 1.3516 2022/08/04 04:18:45 - mmengine - INFO - Epoch(train) [130][1720/1879] lr: 2.0000e-03 eta: 9:33:31 time: 0.9324 data_time: 0.0321 memory: 11089 grad_norm: 5.4756 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1946 loss: 1.1946 2022/08/04 04:19:03 - mmengine - INFO - Epoch(train) [130][1740/1879] lr: 2.0000e-03 eta: 9:33:13 time: 0.9159 data_time: 0.0304 memory: 11089 grad_norm: 5.6422 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2437 loss: 1.2437 2022/08/04 04:19:21 - mmengine - INFO - Epoch(train) [130][1760/1879] lr: 2.0000e-03 eta: 9:32:55 time: 0.9067 data_time: 0.0231 memory: 11089 grad_norm: 5.6219 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1456 loss: 1.1456 2022/08/04 04:19:40 - mmengine - INFO - Epoch(train) [130][1780/1879] lr: 2.0000e-03 eta: 9:32:37 time: 0.9500 data_time: 0.0366 memory: 11089 grad_norm: 5.5370 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2483 loss: 1.2483 2022/08/04 04:19:59 - mmengine - INFO - Epoch(train) [130][1800/1879] lr: 2.0000e-03 eta: 9:32:19 time: 0.9181 data_time: 0.0304 memory: 11089 grad_norm: 5.7348 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4151 loss: 1.4151 2022/08/04 04:20:17 - mmengine - INFO - Epoch(train) [130][1820/1879] lr: 2.0000e-03 eta: 9:32:00 time: 0.9204 data_time: 0.0260 memory: 11089 grad_norm: 5.6433 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2901 loss: 1.2901 2022/08/04 04:20:35 - mmengine - INFO - Epoch(train) [130][1840/1879] lr: 2.0000e-03 eta: 9:31:42 time: 0.9050 data_time: 0.0218 memory: 11089 grad_norm: 5.6040 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1227 loss: 1.1227 2022/08/04 04:20:54 - mmengine - INFO - Epoch(train) [130][1860/1879] lr: 2.0000e-03 eta: 9:31:24 time: 0.9476 data_time: 0.0253 memory: 11089 grad_norm: 5.6453 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1970 loss: 1.1970 2022/08/04 04:21:12 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 04:21:12 - mmengine - INFO - Epoch(train) [130][1879/1879] lr: 2.0000e-03 eta: 9:31:24 time: 0.9535 data_time: 0.0472 memory: 11089 grad_norm: 5.7552 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.0996 loss: 1.0996 2022/08/04 04:21:22 - mmengine - INFO - Epoch(val) [130][20/155] eta: 0:01:05 time: 0.4833 data_time: 0.1567 memory: 1950 2022/08/04 04:21:29 - mmengine - INFO - Epoch(val) [130][40/155] eta: 0:00:38 time: 0.3348 data_time: 0.0114 memory: 1950 2022/08/04 04:21:36 - mmengine - INFO - Epoch(val) [130][60/155] eta: 0:00:32 time: 0.3440 data_time: 0.0106 memory: 1950 2022/08/04 04:21:43 - mmengine - INFO - Epoch(val) [130][80/155] eta: 0:00:26 time: 0.3498 data_time: 0.0181 memory: 1950 2022/08/04 04:21:51 - mmengine - INFO - Epoch(val) [130][100/155] eta: 0:00:22 time: 0.4139 data_time: 0.0947 memory: 1950 2022/08/04 04:22:01 - mmengine - INFO - Epoch(val) [130][120/155] eta: 0:00:18 time: 0.5147 data_time: 0.1745 memory: 1950 2022/08/04 04:22:09 - mmengine - INFO - Epoch(val) [130][140/155] eta: 0:00:05 time: 0.3947 data_time: 0.0091 memory: 1950 2022/08/04 04:22:17 - mmengine - INFO - Epoch(val) [130][155/155] acc/top1: 0.6906 acc/top5: 0.8803 acc/mean1: 0.6905 2022/08/04 04:22:17 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb/best_acc/top1_epoch_116.pth is removed 2022/08/04 04:22:19 - mmengine - INFO - The best checkpoint with 0.6906 acc/top1 at 131 epoch is saved to best_acc/top1_epoch_131.pth. 2022/08/04 04:22:39 - mmengine - INFO - Epoch(train) [131][20/1879] lr: 2.0000e-03 eta: 9:30:46 time: 1.0290 data_time: 0.1189 memory: 11089 grad_norm: 5.5486 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1917 loss: 1.1917 2022/08/04 04:22:58 - mmengine - INFO - Epoch(train) [131][40/1879] lr: 2.0000e-03 eta: 9:30:28 time: 0.9375 data_time: 0.0291 memory: 11089 grad_norm: 5.6612 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0812 loss: 1.0812 2022/08/04 04:23:16 - mmengine - INFO - Epoch(train) [131][60/1879] lr: 2.0000e-03 eta: 9:30:10 time: 0.9135 data_time: 0.0272 memory: 11089 grad_norm: 5.6850 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1756 loss: 1.1756 2022/08/04 04:23:34 - mmengine - INFO - Epoch(train) [131][80/1879] lr: 2.0000e-03 eta: 9:29:51 time: 0.9056 data_time: 0.0245 memory: 11089 grad_norm: 5.5709 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1730 loss: 1.1730 2022/08/04 04:23:53 - mmengine - INFO - Epoch(train) [131][100/1879] lr: 2.0000e-03 eta: 9:29:33 time: 0.9188 data_time: 0.0256 memory: 11089 grad_norm: 5.5489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1813 loss: 1.1813 2022/08/04 04:24:11 - mmengine - INFO - Epoch(train) [131][120/1879] lr: 2.0000e-03 eta: 9:29:15 time: 0.9273 data_time: 0.0255 memory: 11089 grad_norm: 5.4764 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3046 loss: 1.3046 2022/08/04 04:24:30 - mmengine - INFO - Epoch(train) [131][140/1879] lr: 2.0000e-03 eta: 9:28:57 time: 0.9273 data_time: 0.0336 memory: 11089 grad_norm: 5.5208 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1222 loss: 1.1222 2022/08/04 04:24:49 - mmengine - INFO - Epoch(train) [131][160/1879] lr: 2.0000e-03 eta: 9:28:39 time: 0.9520 data_time: 0.0274 memory: 11089 grad_norm: 5.6846 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1845 loss: 1.1845 2022/08/04 04:25:08 - mmengine - INFO - Epoch(train) [131][180/1879] lr: 2.0000e-03 eta: 9:28:21 time: 0.9253 data_time: 0.0344 memory: 11089 grad_norm: 5.6286 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2640 loss: 1.2640 2022/08/04 04:25:26 - mmengine - INFO - Epoch(train) [131][200/1879] lr: 2.0000e-03 eta: 9:28:02 time: 0.9291 data_time: 0.0297 memory: 11089 grad_norm: 5.7037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2716 loss: 1.2716 2022/08/04 04:25:45 - mmengine - INFO - Epoch(train) [131][220/1879] lr: 2.0000e-03 eta: 9:27:44 time: 0.9331 data_time: 0.0329 memory: 11089 grad_norm: 5.6236 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2237 loss: 1.2237 2022/08/04 04:26:03 - mmengine - INFO - Epoch(train) [131][240/1879] lr: 2.0000e-03 eta: 9:27:26 time: 0.9201 data_time: 0.0294 memory: 11089 grad_norm: 5.7358 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2339 loss: 1.2339 2022/08/04 04:26:22 - mmengine - INFO - Epoch(train) [131][260/1879] lr: 2.0000e-03 eta: 9:27:08 time: 0.9461 data_time: 0.0356 memory: 11089 grad_norm: 5.6371 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2733 loss: 1.2733 2022/08/04 04:26:41 - mmengine - INFO - Epoch(train) [131][280/1879] lr: 2.0000e-03 eta: 9:26:50 time: 0.9252 data_time: 0.0286 memory: 11089 grad_norm: 5.4181 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1234 loss: 1.1234 2022/08/04 04:26:59 - mmengine - INFO - Epoch(train) [131][300/1879] lr: 2.0000e-03 eta: 9:26:31 time: 0.9240 data_time: 0.0282 memory: 11089 grad_norm: 5.4917 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1102 loss: 1.1102 2022/08/04 04:27:17 - mmengine - INFO - Epoch(train) [131][320/1879] lr: 2.0000e-03 eta: 9:26:13 time: 0.8978 data_time: 0.0257 memory: 11089 grad_norm: 5.5282 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1524 loss: 1.1524 2022/08/04 04:27:35 - mmengine - INFO - Epoch(train) [131][340/1879] lr: 2.0000e-03 eta: 9:25:55 time: 0.9065 data_time: 0.0262 memory: 11089 grad_norm: 5.6581 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0672 loss: 1.0672 2022/08/04 04:27:53 - mmengine - INFO - Epoch(train) [131][360/1879] lr: 2.0000e-03 eta: 9:25:37 time: 0.9018 data_time: 0.0264 memory: 11089 grad_norm: 5.5692 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2339 loss: 1.2339 2022/08/04 04:28:12 - mmengine - INFO - Epoch(train) [131][380/1879] lr: 2.0000e-03 eta: 9:25:19 time: 0.9550 data_time: 0.0285 memory: 11089 grad_norm: 5.7005 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2101 loss: 1.2101 2022/08/04 04:28:31 - mmengine - INFO - Epoch(train) [131][400/1879] lr: 2.0000e-03 eta: 9:25:00 time: 0.9296 data_time: 0.0228 memory: 11089 grad_norm: 5.6542 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2155 loss: 1.2155 2022/08/04 04:28:49 - mmengine - INFO - Epoch(train) [131][420/1879] lr: 2.0000e-03 eta: 9:24:42 time: 0.9126 data_time: 0.0268 memory: 11089 grad_norm: 5.7839 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4145 loss: 1.4145 2022/08/04 04:29:08 - mmengine - INFO - Epoch(train) [131][440/1879] lr: 2.0000e-03 eta: 9:24:24 time: 0.9234 data_time: 0.0267 memory: 11089 grad_norm: 5.8580 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2927 loss: 1.2927 2022/08/04 04:29:26 - mmengine - INFO - Epoch(train) [131][460/1879] lr: 2.0000e-03 eta: 9:24:06 time: 0.9061 data_time: 0.0256 memory: 11089 grad_norm: 5.6109 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0497 loss: 1.0497 2022/08/04 04:29:45 - mmengine - INFO - Epoch(train) [131][480/1879] lr: 2.0000e-03 eta: 9:23:48 time: 0.9388 data_time: 0.0264 memory: 11089 grad_norm: 5.5280 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1918 loss: 1.1918 2022/08/04 04:30:03 - mmengine - INFO - Epoch(train) [131][500/1879] lr: 2.0000e-03 eta: 9:23:29 time: 0.9029 data_time: 0.0250 memory: 11089 grad_norm: 5.6140 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2563 loss: 1.2563 2022/08/04 04:30:21 - mmengine - INFO - Epoch(train) [131][520/1879] lr: 2.0000e-03 eta: 9:23:11 time: 0.9047 data_time: 0.0241 memory: 11089 grad_norm: 5.6628 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1363 loss: 1.1363 2022/08/04 04:30:40 - mmengine - INFO - Epoch(train) [131][540/1879] lr: 2.0000e-03 eta: 9:22:53 time: 0.9395 data_time: 0.0277 memory: 11089 grad_norm: 5.6098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3358 loss: 1.3358 2022/08/04 04:30:58 - mmengine - INFO - Epoch(train) [131][560/1879] lr: 2.0000e-03 eta: 9:22:35 time: 0.9241 data_time: 0.0246 memory: 11089 grad_norm: 5.7805 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1973 loss: 1.1973 2022/08/04 04:31:16 - mmengine - INFO - Epoch(train) [131][580/1879] lr: 2.0000e-03 eta: 9:22:16 time: 0.9107 data_time: 0.0291 memory: 11089 grad_norm: 5.7489 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2292 loss: 1.2292 2022/08/04 04:31:35 - mmengine - INFO - Epoch(train) [131][600/1879] lr: 2.0000e-03 eta: 9:21:58 time: 0.9492 data_time: 0.0321 memory: 11089 grad_norm: 5.5635 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4599 loss: 1.4599 2022/08/04 04:31:54 - mmengine - INFO - Epoch(train) [131][620/1879] lr: 2.0000e-03 eta: 9:21:40 time: 0.9129 data_time: 0.0268 memory: 11089 grad_norm: 5.6425 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.2793 loss: 1.2793 2022/08/04 04:32:12 - mmengine - INFO - Epoch(train) [131][640/1879] lr: 2.0000e-03 eta: 9:21:22 time: 0.9306 data_time: 0.0318 memory: 11089 grad_norm: 5.5995 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2058 loss: 1.2058 2022/08/04 04:32:30 - mmengine - INFO - Epoch(train) [131][660/1879] lr: 2.0000e-03 eta: 9:21:04 time: 0.9042 data_time: 0.0245 memory: 11089 grad_norm: 5.6039 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1162 loss: 1.1162 2022/08/04 04:32:48 - mmengine - INFO - Epoch(train) [131][680/1879] lr: 2.0000e-03 eta: 9:20:45 time: 0.9025 data_time: 0.0268 memory: 11089 grad_norm: 5.7704 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1753 loss: 1.1753 2022/08/04 04:33:07 - mmengine - INFO - Epoch(train) [131][700/1879] lr: 2.0000e-03 eta: 9:20:27 time: 0.9351 data_time: 0.0259 memory: 11089 grad_norm: 5.5619 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2258 loss: 1.2258 2022/08/04 04:33:26 - mmengine - INFO - Epoch(train) [131][720/1879] lr: 2.0000e-03 eta: 9:20:09 time: 0.9283 data_time: 0.0304 memory: 11089 grad_norm: 5.8025 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0963 loss: 1.0963 2022/08/04 04:33:35 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 04:33:44 - mmengine - INFO - Epoch(train) [131][740/1879] lr: 2.0000e-03 eta: 9:19:51 time: 0.9160 data_time: 0.0323 memory: 11089 grad_norm: 5.8101 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4193 loss: 1.4193 2022/08/04 04:34:02 - mmengine - INFO - Epoch(train) [131][760/1879] lr: 2.0000e-03 eta: 9:19:33 time: 0.9130 data_time: 0.0231 memory: 11089 grad_norm: 5.5409 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1509 loss: 1.1509 2022/08/04 04:34:20 - mmengine - INFO - Epoch(train) [131][780/1879] lr: 2.0000e-03 eta: 9:19:14 time: 0.9091 data_time: 0.0275 memory: 11089 grad_norm: 5.7603 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3936 loss: 1.3936 2022/08/04 04:34:39 - mmengine - INFO - Epoch(train) [131][800/1879] lr: 2.0000e-03 eta: 9:18:56 time: 0.9244 data_time: 0.0256 memory: 11089 grad_norm: 5.4475 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3336 loss: 1.3336 2022/08/04 04:34:57 - mmengine - INFO - Epoch(train) [131][820/1879] lr: 2.0000e-03 eta: 9:18:38 time: 0.9161 data_time: 0.0218 memory: 11089 grad_norm: 5.8111 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3525 loss: 1.3525 2022/08/04 04:35:15 - mmengine - INFO - Epoch(train) [131][840/1879] lr: 2.0000e-03 eta: 9:18:20 time: 0.9060 data_time: 0.0242 memory: 11089 grad_norm: 5.5540 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1704 loss: 1.1704 2022/08/04 04:35:34 - mmengine - INFO - Epoch(train) [131][860/1879] lr: 2.0000e-03 eta: 9:18:01 time: 0.9294 data_time: 0.0286 memory: 11089 grad_norm: 5.6164 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0776 loss: 1.0776 2022/08/04 04:35:53 - mmengine - INFO - Epoch(train) [131][880/1879] lr: 2.0000e-03 eta: 9:17:43 time: 0.9455 data_time: 0.0332 memory: 11089 grad_norm: 5.5633 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2181 loss: 1.2181 2022/08/04 04:36:11 - mmengine - INFO - Epoch(train) [131][900/1879] lr: 2.0000e-03 eta: 9:17:25 time: 0.9204 data_time: 0.0287 memory: 11089 grad_norm: 5.7232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2526 loss: 1.2526 2022/08/04 04:36:30 - mmengine - INFO - Epoch(train) [131][920/1879] lr: 2.0000e-03 eta: 9:17:07 time: 0.9180 data_time: 0.0256 memory: 11089 grad_norm: 5.5893 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4985 loss: 1.4985 2022/08/04 04:36:48 - mmengine - INFO - Epoch(train) [131][940/1879] lr: 2.0000e-03 eta: 9:16:49 time: 0.9283 data_time: 0.0268 memory: 11089 grad_norm: 5.6306 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2563 loss: 1.2563 2022/08/04 04:37:06 - mmengine - INFO - Epoch(train) [131][960/1879] lr: 2.0000e-03 eta: 9:16:30 time: 0.9157 data_time: 0.0289 memory: 11089 grad_norm: 5.7110 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2480 loss: 1.2480 2022/08/04 04:37:25 - mmengine - INFO - Epoch(train) [131][980/1879] lr: 2.0000e-03 eta: 9:16:12 time: 0.9104 data_time: 0.0260 memory: 11089 grad_norm: 5.7504 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3910 loss: 1.3910 2022/08/04 04:37:43 - mmengine - INFO - Epoch(train) [131][1000/1879] lr: 2.0000e-03 eta: 9:15:54 time: 0.9286 data_time: 0.0331 memory: 11089 grad_norm: 5.7129 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2039 loss: 1.2039 2022/08/04 04:38:02 - mmengine - INFO - Epoch(train) [131][1020/1879] lr: 2.0000e-03 eta: 9:15:36 time: 0.9256 data_time: 0.0355 memory: 11089 grad_norm: 5.7066 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3244 loss: 1.3244 2022/08/04 04:38:20 - mmengine - INFO - Epoch(train) [131][1040/1879] lr: 2.0000e-03 eta: 9:15:18 time: 0.9288 data_time: 0.0311 memory: 11089 grad_norm: 5.5609 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1152 loss: 1.1152 2022/08/04 04:38:39 - mmengine - INFO - Epoch(train) [131][1060/1879] lr: 2.0000e-03 eta: 9:15:00 time: 0.9372 data_time: 0.0317 memory: 11089 grad_norm: 5.8173 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3603 loss: 1.3603 2022/08/04 04:38:58 - mmengine - INFO - Epoch(train) [131][1080/1879] lr: 2.0000e-03 eta: 9:14:41 time: 0.9278 data_time: 0.0303 memory: 11089 grad_norm: 5.5233 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9636 loss: 0.9636 2022/08/04 04:39:16 - mmengine - INFO - Epoch(train) [131][1100/1879] lr: 2.0000e-03 eta: 9:14:23 time: 0.9161 data_time: 0.0322 memory: 11089 grad_norm: 5.6813 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1480 loss: 1.1480 2022/08/04 04:39:34 - mmengine - INFO - Epoch(train) [131][1120/1879] lr: 2.0000e-03 eta: 9:14:05 time: 0.9064 data_time: 0.0269 memory: 11089 grad_norm: 5.5462 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1909 loss: 1.1909 2022/08/04 04:39:53 - mmengine - INFO - Epoch(train) [131][1140/1879] lr: 2.0000e-03 eta: 9:13:47 time: 0.9178 data_time: 0.0262 memory: 11089 grad_norm: 5.5124 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2330 loss: 1.2330 2022/08/04 04:40:11 - mmengine - INFO - Epoch(train) [131][1160/1879] lr: 2.0000e-03 eta: 9:13:28 time: 0.9153 data_time: 0.0238 memory: 11089 grad_norm: 5.8076 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3158 loss: 1.3158 2022/08/04 04:40:29 - mmengine - INFO - Epoch(train) [131][1180/1879] lr: 2.0000e-03 eta: 9:13:10 time: 0.9062 data_time: 0.0255 memory: 11089 grad_norm: 5.7186 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2765 loss: 1.2765 2022/08/04 04:40:47 - mmengine - INFO - Epoch(train) [131][1200/1879] lr: 2.0000e-03 eta: 9:12:52 time: 0.9065 data_time: 0.0200 memory: 11089 grad_norm: 5.5006 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1512 loss: 1.1512 2022/08/04 04:41:06 - mmengine - INFO - Epoch(train) [131][1220/1879] lr: 2.0000e-03 eta: 9:12:34 time: 0.9325 data_time: 0.0255 memory: 11089 grad_norm: 5.6884 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2617 loss: 1.2617 2022/08/04 04:41:24 - mmengine - INFO - Epoch(train) [131][1240/1879] lr: 2.0000e-03 eta: 9:12:16 time: 0.9211 data_time: 0.0316 memory: 11089 grad_norm: 5.8597 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1930 loss: 1.1930 2022/08/04 04:41:43 - mmengine - INFO - Epoch(train) [131][1260/1879] lr: 2.0000e-03 eta: 9:11:57 time: 0.9409 data_time: 0.0352 memory: 11089 grad_norm: 5.7606 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3043 loss: 1.3043 2022/08/04 04:42:01 - mmengine - INFO - Epoch(train) [131][1280/1879] lr: 2.0000e-03 eta: 9:11:39 time: 0.9045 data_time: 0.0267 memory: 11089 grad_norm: 5.6868 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1717 loss: 1.1717 2022/08/04 04:42:20 - mmengine - INFO - Epoch(train) [131][1300/1879] lr: 2.0000e-03 eta: 9:11:21 time: 0.9337 data_time: 0.0363 memory: 11089 grad_norm: 5.8014 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2277 loss: 1.2277 2022/08/04 04:42:38 - mmengine - INFO - Epoch(train) [131][1320/1879] lr: 2.0000e-03 eta: 9:11:03 time: 0.9230 data_time: 0.0309 memory: 11089 grad_norm: 5.6646 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3240 loss: 1.3240 2022/08/04 04:42:57 - mmengine - INFO - Epoch(train) [131][1340/1879] lr: 2.0000e-03 eta: 9:10:45 time: 0.9248 data_time: 0.0329 memory: 11089 grad_norm: 5.7041 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2494 loss: 1.2494 2022/08/04 04:43:15 - mmengine - INFO - Epoch(train) [131][1360/1879] lr: 2.0000e-03 eta: 9:10:26 time: 0.9163 data_time: 0.0248 memory: 11089 grad_norm: 5.4964 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9638 loss: 0.9638 2022/08/04 04:43:34 - mmengine - INFO - Epoch(train) [131][1380/1879] lr: 2.0000e-03 eta: 9:10:08 time: 0.9415 data_time: 0.0310 memory: 11089 grad_norm: 6.0079 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1317 loss: 1.1317 2022/08/04 04:43:52 - mmengine - INFO - Epoch(train) [131][1400/1879] lr: 2.0000e-03 eta: 9:09:50 time: 0.9092 data_time: 0.0248 memory: 11089 grad_norm: 5.8927 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4345 loss: 1.4345 2022/08/04 04:44:10 - mmengine - INFO - Epoch(train) [131][1420/1879] lr: 2.0000e-03 eta: 9:09:32 time: 0.9028 data_time: 0.0309 memory: 11089 grad_norm: 5.6347 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3169 loss: 1.3169 2022/08/04 04:44:29 - mmengine - INFO - Epoch(train) [131][1440/1879] lr: 2.0000e-03 eta: 9:09:13 time: 0.9247 data_time: 0.0307 memory: 11089 grad_norm: 5.6238 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1322 loss: 1.1322 2022/08/04 04:44:47 - mmengine - INFO - Epoch(train) [131][1460/1879] lr: 2.0000e-03 eta: 9:08:55 time: 0.9218 data_time: 0.0248 memory: 11089 grad_norm: 5.7922 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1750 loss: 1.1750 2022/08/04 04:45:05 - mmengine - INFO - Epoch(train) [131][1480/1879] lr: 2.0000e-03 eta: 9:08:37 time: 0.9029 data_time: 0.0250 memory: 11089 grad_norm: 5.7946 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2678 loss: 1.2678 2022/08/04 04:45:23 - mmengine - INFO - Epoch(train) [131][1500/1879] lr: 2.0000e-03 eta: 9:08:19 time: 0.9015 data_time: 0.0238 memory: 11089 grad_norm: 5.8519 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1827 loss: 1.1827 2022/08/04 04:45:41 - mmengine - INFO - Epoch(train) [131][1520/1879] lr: 2.0000e-03 eta: 9:08:00 time: 0.9077 data_time: 0.0259 memory: 11089 grad_norm: 5.6893 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1939 loss: 1.1939 2022/08/04 04:46:00 - mmengine - INFO - Epoch(train) [131][1540/1879] lr: 2.0000e-03 eta: 9:07:42 time: 0.9286 data_time: 0.0282 memory: 11089 grad_norm: 5.7736 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3066 loss: 1.3066 2022/08/04 04:46:18 - mmengine - INFO - Epoch(train) [131][1560/1879] lr: 2.0000e-03 eta: 9:07:24 time: 0.9224 data_time: 0.0273 memory: 11089 grad_norm: 5.7771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0999 loss: 1.0999 2022/08/04 04:46:37 - mmengine - INFO - Epoch(train) [131][1580/1879] lr: 2.0000e-03 eta: 9:07:06 time: 0.9151 data_time: 0.0264 memory: 11089 grad_norm: 5.7696 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1335 loss: 1.1335 2022/08/04 04:46:55 - mmengine - INFO - Epoch(train) [131][1600/1879] lr: 2.0000e-03 eta: 9:06:48 time: 0.9072 data_time: 0.0289 memory: 11089 grad_norm: 5.7734 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2934 loss: 1.2934 2022/08/04 04:47:14 - mmengine - INFO - Epoch(train) [131][1620/1879] lr: 2.0000e-03 eta: 9:06:29 time: 0.9476 data_time: 0.0398 memory: 11089 grad_norm: 5.5926 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1560 loss: 1.1560 2022/08/04 04:47:32 - mmengine - INFO - Epoch(train) [131][1640/1879] lr: 2.0000e-03 eta: 9:06:11 time: 0.9310 data_time: 0.0336 memory: 11089 grad_norm: 5.6547 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2410 loss: 1.2410 2022/08/04 04:47:51 - mmengine - INFO - Epoch(train) [131][1660/1879] lr: 2.0000e-03 eta: 9:05:53 time: 0.9244 data_time: 0.0248 memory: 11089 grad_norm: 5.5639 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3021 loss: 1.3021 2022/08/04 04:48:10 - mmengine - INFO - Epoch(train) [131][1680/1879] lr: 2.0000e-03 eta: 9:05:35 time: 0.9323 data_time: 0.0336 memory: 11089 grad_norm: 5.7061 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2191 loss: 1.2191 2022/08/04 04:48:28 - mmengine - INFO - Epoch(train) [131][1700/1879] lr: 2.0000e-03 eta: 9:05:17 time: 0.9258 data_time: 0.0232 memory: 11089 grad_norm: 5.7107 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2289 loss: 1.2289 2022/08/04 04:48:46 - mmengine - INFO - Epoch(train) [131][1720/1879] lr: 2.0000e-03 eta: 9:04:58 time: 0.9121 data_time: 0.0228 memory: 11089 grad_norm: 5.8438 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3026 loss: 1.3026 2022/08/04 04:48:56 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 04:49:04 - mmengine - INFO - Epoch(train) [131][1740/1879] lr: 2.0000e-03 eta: 9:04:40 time: 0.9021 data_time: 0.0279 memory: 11089 grad_norm: 5.7813 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1382 loss: 1.1382 2022/08/04 04:49:23 - mmengine - INFO - Epoch(train) [131][1760/1879] lr: 2.0000e-03 eta: 9:04:22 time: 0.9367 data_time: 0.0223 memory: 11089 grad_norm: 5.8626 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2399 loss: 1.2399 2022/08/04 04:49:42 - mmengine - INFO - Epoch(train) [131][1780/1879] lr: 2.0000e-03 eta: 9:04:04 time: 0.9346 data_time: 0.0264 memory: 11089 grad_norm: 5.6850 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1780 loss: 1.1780 2022/08/04 04:50:00 - mmengine - INFO - Epoch(train) [131][1800/1879] lr: 2.0000e-03 eta: 9:03:46 time: 0.9153 data_time: 0.0268 memory: 11089 grad_norm: 5.6890 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1599 loss: 1.1599 2022/08/04 04:50:18 - mmengine - INFO - Epoch(train) [131][1820/1879] lr: 2.0000e-03 eta: 9:03:27 time: 0.9125 data_time: 0.0284 memory: 11089 grad_norm: 5.6221 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1442 loss: 1.1442 2022/08/04 04:50:36 - mmengine - INFO - Epoch(train) [131][1840/1879] lr: 2.0000e-03 eta: 9:03:09 time: 0.8806 data_time: 0.0256 memory: 11089 grad_norm: 5.7263 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3165 loss: 1.3165 2022/08/04 04:50:54 - mmengine - INFO - Epoch(train) [131][1860/1879] lr: 2.0000e-03 eta: 9:02:51 time: 0.9207 data_time: 0.0265 memory: 11089 grad_norm: 5.6124 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0667 loss: 1.0667 2022/08/04 04:51:12 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 04:51:12 - mmengine - INFO - Epoch(train) [131][1879/1879] lr: 2.0000e-03 eta: 9:02:51 time: 0.9296 data_time: 0.0322 memory: 11089 grad_norm: 5.8682 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.2120 loss: 1.2120 2022/08/04 04:51:33 - mmengine - INFO - Epoch(train) [132][20/1879] lr: 2.0000e-03 eta: 9:02:13 time: 1.0379 data_time: 0.1249 memory: 11089 grad_norm: 5.6561 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3222 loss: 1.3222 2022/08/04 04:51:52 - mmengine - INFO - Epoch(train) [132][40/1879] lr: 2.0000e-03 eta: 9:01:55 time: 0.9298 data_time: 0.0252 memory: 11089 grad_norm: 5.5761 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2652 loss: 1.2652 2022/08/04 04:52:10 - mmengine - INFO - Epoch(train) [132][60/1879] lr: 2.0000e-03 eta: 9:01:37 time: 0.9263 data_time: 0.0264 memory: 11089 grad_norm: 5.6578 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2476 loss: 1.2476 2022/08/04 04:52:28 - mmengine - INFO - Epoch(train) [132][80/1879] lr: 2.0000e-03 eta: 9:01:19 time: 0.9115 data_time: 0.0243 memory: 11089 grad_norm: 5.6056 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2623 loss: 1.2623 2022/08/04 04:52:47 - mmengine - INFO - Epoch(train) [132][100/1879] lr: 2.0000e-03 eta: 9:01:00 time: 0.9214 data_time: 0.0237 memory: 11089 grad_norm: 5.5075 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1382 loss: 1.1382 2022/08/04 04:53:05 - mmengine - INFO - Epoch(train) [132][120/1879] lr: 2.0000e-03 eta: 9:00:42 time: 0.9261 data_time: 0.0246 memory: 11089 grad_norm: 5.5887 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1654 loss: 1.1654 2022/08/04 04:53:24 - mmengine - INFO - Epoch(train) [132][140/1879] lr: 2.0000e-03 eta: 9:00:24 time: 0.9117 data_time: 0.0325 memory: 11089 grad_norm: 5.7196 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3175 loss: 1.3175 2022/08/04 04:53:42 - mmengine - INFO - Epoch(train) [132][160/1879] lr: 2.0000e-03 eta: 9:00:06 time: 0.9077 data_time: 0.0190 memory: 11089 grad_norm: 5.7071 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2768 loss: 1.2768 2022/08/04 04:54:00 - mmengine - INFO - Epoch(train) [132][180/1879] lr: 2.0000e-03 eta: 8:59:47 time: 0.9167 data_time: 0.0298 memory: 11089 grad_norm: 5.6365 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1314 loss: 1.1314 2022/08/04 04:54:18 - mmengine - INFO - Epoch(train) [132][200/1879] lr: 2.0000e-03 eta: 8:59:29 time: 0.9177 data_time: 0.0314 memory: 11089 grad_norm: 5.7862 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4249 loss: 1.4249 2022/08/04 04:54:37 - mmengine - INFO - Epoch(train) [132][220/1879] lr: 2.0000e-03 eta: 8:59:11 time: 0.9287 data_time: 0.0250 memory: 11089 grad_norm: 5.8036 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2494 loss: 1.2494 2022/08/04 04:54:55 - mmengine - INFO - Epoch(train) [132][240/1879] lr: 2.0000e-03 eta: 8:58:53 time: 0.9191 data_time: 0.0241 memory: 11089 grad_norm: 5.8336 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2797 loss: 1.2797 2022/08/04 04:55:14 - mmengine - INFO - Epoch(train) [132][260/1879] lr: 2.0000e-03 eta: 8:58:35 time: 0.9257 data_time: 0.0276 memory: 11089 grad_norm: 5.8435 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1792 loss: 1.1792 2022/08/04 04:55:32 - mmengine - INFO - Epoch(train) [132][280/1879] lr: 2.0000e-03 eta: 8:58:16 time: 0.9123 data_time: 0.0279 memory: 11089 grad_norm: 5.6658 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1376 loss: 1.1376 2022/08/04 04:55:51 - mmengine - INFO - Epoch(train) [132][300/1879] lr: 2.0000e-03 eta: 8:57:58 time: 0.9163 data_time: 0.0245 memory: 11089 grad_norm: 5.7598 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.2002 loss: 1.2002 2022/08/04 04:56:09 - mmengine - INFO - Epoch(train) [132][320/1879] lr: 2.0000e-03 eta: 8:57:40 time: 0.9082 data_time: 0.0288 memory: 11089 grad_norm: 5.6183 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1154 loss: 1.1154 2022/08/04 04:56:27 - mmengine - INFO - Epoch(train) [132][340/1879] lr: 2.0000e-03 eta: 8:57:22 time: 0.9212 data_time: 0.0251 memory: 11089 grad_norm: 5.6624 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2131 loss: 1.2131 2022/08/04 04:56:46 - mmengine - INFO - Epoch(train) [132][360/1879] lr: 2.0000e-03 eta: 8:57:04 time: 0.9479 data_time: 0.0398 memory: 11089 grad_norm: 5.6184 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1677 loss: 1.1677 2022/08/04 04:57:04 - mmengine - INFO - Epoch(train) [132][380/1879] lr: 2.0000e-03 eta: 8:56:45 time: 0.9147 data_time: 0.0247 memory: 11089 grad_norm: 5.8221 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3099 loss: 1.3099 2022/08/04 04:57:23 - mmengine - INFO - Epoch(train) [132][400/1879] lr: 2.0000e-03 eta: 8:56:27 time: 0.9133 data_time: 0.0263 memory: 11089 grad_norm: 5.7715 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0998 loss: 1.0998 2022/08/04 04:57:41 - mmengine - INFO - Epoch(train) [132][420/1879] lr: 2.0000e-03 eta: 8:56:09 time: 0.9201 data_time: 0.0220 memory: 11089 grad_norm: 5.6264 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2879 loss: 1.2879 2022/08/04 04:57:59 - mmengine - INFO - Epoch(train) [132][440/1879] lr: 2.0000e-03 eta: 8:55:51 time: 0.9004 data_time: 0.0242 memory: 11089 grad_norm: 5.5371 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1485 loss: 1.1485 2022/08/04 04:58:18 - mmengine - INFO - Epoch(train) [132][460/1879] lr: 2.0000e-03 eta: 8:55:32 time: 0.9203 data_time: 0.0283 memory: 11089 grad_norm: 5.8179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2825 loss: 1.2825 2022/08/04 04:58:36 - mmengine - INFO - Epoch(train) [132][480/1879] lr: 2.0000e-03 eta: 8:55:14 time: 0.9378 data_time: 0.0388 memory: 11089 grad_norm: 5.7702 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3083 loss: 1.3083 2022/08/04 04:58:55 - mmengine - INFO - Epoch(train) [132][500/1879] lr: 2.0000e-03 eta: 8:54:56 time: 0.9141 data_time: 0.0258 memory: 11089 grad_norm: 5.5374 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1440 loss: 1.1440 2022/08/04 04:59:13 - mmengine - INFO - Epoch(train) [132][520/1879] lr: 2.0000e-03 eta: 8:54:38 time: 0.9246 data_time: 0.0255 memory: 11089 grad_norm: 5.6796 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2842 loss: 1.2842 2022/08/04 04:59:32 - mmengine - INFO - Epoch(train) [132][540/1879] lr: 2.0000e-03 eta: 8:54:20 time: 0.9432 data_time: 0.0377 memory: 11089 grad_norm: 5.9055 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3485 loss: 1.3485 2022/08/04 04:59:50 - mmengine - INFO - Epoch(train) [132][560/1879] lr: 2.0000e-03 eta: 8:54:01 time: 0.9196 data_time: 0.0214 memory: 11089 grad_norm: 5.7848 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1085 loss: 1.1085 2022/08/04 05:00:09 - mmengine - INFO - Epoch(train) [132][580/1879] lr: 2.0000e-03 eta: 8:53:43 time: 0.9371 data_time: 0.0347 memory: 11089 grad_norm: 5.5130 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9944 loss: 0.9944 2022/08/04 05:00:27 - mmengine - INFO - Epoch(train) [132][600/1879] lr: 2.0000e-03 eta: 8:53:25 time: 0.9067 data_time: 0.0255 memory: 11089 grad_norm: 5.5596 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1060 loss: 1.1060 2022/08/04 05:00:46 - mmengine - INFO - Epoch(train) [132][620/1879] lr: 2.0000e-03 eta: 8:53:07 time: 0.9164 data_time: 0.0232 memory: 11089 grad_norm: 5.6525 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1679 loss: 1.1679 2022/08/04 05:01:04 - mmengine - INFO - Epoch(train) [132][640/1879] lr: 2.0000e-03 eta: 8:52:49 time: 0.9128 data_time: 0.0271 memory: 11089 grad_norm: 5.6531 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2436 loss: 1.2436 2022/08/04 05:01:22 - mmengine - INFO - Epoch(train) [132][660/1879] lr: 2.0000e-03 eta: 8:52:30 time: 0.9151 data_time: 0.0304 memory: 11089 grad_norm: 5.7222 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1306 loss: 1.1306 2022/08/04 05:01:40 - mmengine - INFO - Epoch(train) [132][680/1879] lr: 2.0000e-03 eta: 8:52:12 time: 0.9122 data_time: 0.0246 memory: 11089 grad_norm: 5.6548 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2228 loss: 1.2228 2022/08/04 05:01:58 - mmengine - INFO - Epoch(train) [132][700/1879] lr: 2.0000e-03 eta: 8:51:54 time: 0.8860 data_time: 0.0289 memory: 11089 grad_norm: 5.8127 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1771 loss: 1.1771 2022/08/04 05:02:16 - mmengine - INFO - Epoch(train) [132][720/1879] lr: 2.0000e-03 eta: 8:51:36 time: 0.9123 data_time: 0.0300 memory: 11089 grad_norm: 5.7134 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3344 loss: 1.3344 2022/08/04 05:02:35 - mmengine - INFO - Epoch(train) [132][740/1879] lr: 2.0000e-03 eta: 8:51:17 time: 0.9456 data_time: 0.0354 memory: 11089 grad_norm: 5.6399 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2495 loss: 1.2495 2022/08/04 05:02:54 - mmengine - INFO - Epoch(train) [132][760/1879] lr: 2.0000e-03 eta: 8:50:59 time: 0.9251 data_time: 0.0314 memory: 11089 grad_norm: 5.7989 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3480 loss: 1.3480 2022/08/04 05:03:12 - mmengine - INFO - Epoch(train) [132][780/1879] lr: 2.0000e-03 eta: 8:50:41 time: 0.9360 data_time: 0.0261 memory: 11089 grad_norm: 5.6433 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2802 loss: 1.2802 2022/08/04 05:03:31 - mmengine - INFO - Epoch(train) [132][800/1879] lr: 2.0000e-03 eta: 8:50:23 time: 0.9237 data_time: 0.0307 memory: 11089 grad_norm: 5.9102 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1888 loss: 1.1888 2022/08/04 05:03:49 - mmengine - INFO - Epoch(train) [132][820/1879] lr: 2.0000e-03 eta: 8:50:05 time: 0.9209 data_time: 0.0257 memory: 11089 grad_norm: 5.7194 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1455 loss: 1.1455 2022/08/04 05:04:08 - mmengine - INFO - Epoch(train) [132][840/1879] lr: 2.0000e-03 eta: 8:49:46 time: 0.9300 data_time: 0.0304 memory: 11089 grad_norm: 5.6770 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2468 loss: 1.2468 2022/08/04 05:04:18 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 05:04:26 - mmengine - INFO - Epoch(train) [132][860/1879] lr: 2.0000e-03 eta: 8:49:28 time: 0.9083 data_time: 0.0244 memory: 11089 grad_norm: 5.6515 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1296 loss: 1.1296 2022/08/04 05:04:45 - mmengine - INFO - Epoch(train) [132][880/1879] lr: 2.0000e-03 eta: 8:49:10 time: 0.9212 data_time: 0.0294 memory: 11089 grad_norm: 5.6376 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1659 loss: 1.1659 2022/08/04 05:05:03 - mmengine - INFO - Epoch(train) [132][900/1879] lr: 2.0000e-03 eta: 8:48:52 time: 0.9418 data_time: 0.0237 memory: 11089 grad_norm: 5.6974 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3891 loss: 1.3891 2022/08/04 05:05:22 - mmengine - INFO - Epoch(train) [132][920/1879] lr: 2.0000e-03 eta: 8:48:34 time: 0.9227 data_time: 0.0255 memory: 11089 grad_norm: 5.5887 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1222 loss: 1.1222 2022/08/04 05:05:40 - mmengine - INFO - Epoch(train) [132][940/1879] lr: 2.0000e-03 eta: 8:48:15 time: 0.9003 data_time: 0.0243 memory: 11089 grad_norm: 5.7046 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0524 loss: 1.0524 2022/08/04 05:05:58 - mmengine - INFO - Epoch(train) [132][960/1879] lr: 2.0000e-03 eta: 8:47:57 time: 0.9154 data_time: 0.0294 memory: 11089 grad_norm: 5.8529 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3267 loss: 1.3267 2022/08/04 05:06:17 - mmengine - INFO - Epoch(train) [132][980/1879] lr: 2.0000e-03 eta: 8:47:39 time: 0.9203 data_time: 0.0291 memory: 11089 grad_norm: 5.6326 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1839 loss: 1.1839 2022/08/04 05:06:35 - mmengine - INFO - Epoch(train) [132][1000/1879] lr: 2.0000e-03 eta: 8:47:21 time: 0.9266 data_time: 0.0287 memory: 11089 grad_norm: 5.7854 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1930 loss: 1.1930 2022/08/04 05:06:54 - mmengine - INFO - Epoch(train) [132][1020/1879] lr: 2.0000e-03 eta: 8:47:03 time: 0.9372 data_time: 0.0263 memory: 11089 grad_norm: 5.6121 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1072 loss: 1.1072 2022/08/04 05:07:12 - mmengine - INFO - Epoch(train) [132][1040/1879] lr: 2.0000e-03 eta: 8:46:44 time: 0.9196 data_time: 0.0204 memory: 11089 grad_norm: 5.6734 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1941 loss: 1.1941 2022/08/04 05:07:31 - mmengine - INFO - Epoch(train) [132][1060/1879] lr: 2.0000e-03 eta: 8:46:26 time: 0.9093 data_time: 0.0307 memory: 11089 grad_norm: 5.9017 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2202 loss: 1.2202 2022/08/04 05:07:49 - mmengine - INFO - Epoch(train) [132][1080/1879] lr: 2.0000e-03 eta: 8:46:08 time: 0.9082 data_time: 0.0261 memory: 11089 grad_norm: 5.8741 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2438 loss: 1.2438 2022/08/04 05:08:07 - mmengine - INFO - Epoch(train) [132][1100/1879] lr: 2.0000e-03 eta: 8:45:50 time: 0.9069 data_time: 0.0262 memory: 11089 grad_norm: 5.7745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2715 loss: 1.2715 2022/08/04 05:08:26 - mmengine - INFO - Epoch(train) [132][1120/1879] lr: 2.0000e-03 eta: 8:45:32 time: 0.9470 data_time: 0.0360 memory: 11089 grad_norm: 5.6818 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1353 loss: 1.1353 2022/08/04 05:08:44 - mmengine - INFO - Epoch(train) [132][1140/1879] lr: 2.0000e-03 eta: 8:45:13 time: 0.9216 data_time: 0.0313 memory: 11089 grad_norm: 5.6285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2742 loss: 1.2742 2022/08/04 05:09:03 - mmengine - INFO - Epoch(train) [132][1160/1879] lr: 2.0000e-03 eta: 8:44:55 time: 0.9243 data_time: 0.0292 memory: 11089 grad_norm: 5.6015 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2649 loss: 1.2649 2022/08/04 05:09:21 - mmengine - INFO - Epoch(train) [132][1180/1879] lr: 2.0000e-03 eta: 8:44:37 time: 0.9373 data_time: 0.0313 memory: 11089 grad_norm: 5.6295 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1662 loss: 1.1662 2022/08/04 05:09:40 - mmengine - INFO - Epoch(train) [132][1200/1879] lr: 2.0000e-03 eta: 8:44:19 time: 0.9329 data_time: 0.0277 memory: 11089 grad_norm: 5.5847 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3885 loss: 1.3885 2022/08/04 05:09:58 - mmengine - INFO - Epoch(train) [132][1220/1879] lr: 2.0000e-03 eta: 8:44:01 time: 0.9101 data_time: 0.0290 memory: 11089 grad_norm: 5.8125 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2160 loss: 1.2160 2022/08/04 05:10:17 - mmengine - INFO - Epoch(train) [132][1240/1879] lr: 2.0000e-03 eta: 8:43:42 time: 0.9457 data_time: 0.0265 memory: 11089 grad_norm: 5.6601 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2481 loss: 1.2481 2022/08/04 05:10:36 - mmengine - INFO - Epoch(train) [132][1260/1879] lr: 2.0000e-03 eta: 8:43:24 time: 0.9129 data_time: 0.0294 memory: 11089 grad_norm: 5.6910 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1633 loss: 1.1633 2022/08/04 05:10:54 - mmengine - INFO - Epoch(train) [132][1280/1879] lr: 2.0000e-03 eta: 8:43:06 time: 0.9286 data_time: 0.0269 memory: 11089 grad_norm: 5.5790 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2897 loss: 1.2897 2022/08/04 05:11:13 - mmengine - INFO - Epoch(train) [132][1300/1879] lr: 2.0000e-03 eta: 8:42:48 time: 0.9241 data_time: 0.0349 memory: 11089 grad_norm: 5.7975 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3127 loss: 1.3127 2022/08/04 05:11:31 - mmengine - INFO - Epoch(train) [132][1320/1879] lr: 2.0000e-03 eta: 8:42:29 time: 0.9034 data_time: 0.0238 memory: 11089 grad_norm: 5.7426 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.3615 loss: 1.3615 2022/08/04 05:11:49 - mmengine - INFO - Epoch(train) [132][1340/1879] lr: 2.0000e-03 eta: 8:42:11 time: 0.9158 data_time: 0.0336 memory: 11089 grad_norm: 5.8614 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1572 loss: 1.1572 2022/08/04 05:12:08 - mmengine - INFO - Epoch(train) [132][1360/1879] lr: 2.0000e-03 eta: 8:41:53 time: 0.9272 data_time: 0.0322 memory: 11089 grad_norm: 5.8177 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1733 loss: 1.1733 2022/08/04 05:12:26 - mmengine - INFO - Epoch(train) [132][1380/1879] lr: 2.0000e-03 eta: 8:41:35 time: 0.9164 data_time: 0.0329 memory: 11089 grad_norm: 5.7974 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1724 loss: 1.1724 2022/08/04 05:12:44 - mmengine - INFO - Epoch(train) [132][1400/1879] lr: 2.0000e-03 eta: 8:41:17 time: 0.8997 data_time: 0.0246 memory: 11089 grad_norm: 5.7569 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2623 loss: 1.2623 2022/08/04 05:13:02 - mmengine - INFO - Epoch(train) [132][1420/1879] lr: 2.0000e-03 eta: 8:40:58 time: 0.9125 data_time: 0.0240 memory: 11089 grad_norm: 5.7033 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3922 loss: 1.3922 2022/08/04 05:13:20 - mmengine - INFO - Epoch(train) [132][1440/1879] lr: 2.0000e-03 eta: 8:40:40 time: 0.9041 data_time: 0.0247 memory: 11089 grad_norm: 5.6824 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2702 loss: 1.2702 2022/08/04 05:13:39 - mmengine - INFO - Epoch(train) [132][1460/1879] lr: 2.0000e-03 eta: 8:40:22 time: 0.9242 data_time: 0.0233 memory: 11089 grad_norm: 5.6469 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2147 loss: 1.2147 2022/08/04 05:13:57 - mmengine - INFO - Epoch(train) [132][1480/1879] lr: 2.0000e-03 eta: 8:40:04 time: 0.9155 data_time: 0.0271 memory: 11089 grad_norm: 5.7584 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2712 loss: 1.2712 2022/08/04 05:14:15 - mmengine - INFO - Epoch(train) [132][1500/1879] lr: 2.0000e-03 eta: 8:39:45 time: 0.9216 data_time: 0.0247 memory: 11089 grad_norm: 5.7809 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1519 loss: 1.1519 2022/08/04 05:14:34 - mmengine - INFO - Epoch(train) [132][1520/1879] lr: 2.0000e-03 eta: 8:39:27 time: 0.9276 data_time: 0.0347 memory: 11089 grad_norm: 5.7263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3552 loss: 1.3552 2022/08/04 05:14:53 - mmengine - INFO - Epoch(train) [132][1540/1879] lr: 2.0000e-03 eta: 8:39:09 time: 0.9251 data_time: 0.0260 memory: 11089 grad_norm: 5.7087 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0959 loss: 1.0959 2022/08/04 05:15:11 - mmengine - INFO - Epoch(train) [132][1560/1879] lr: 2.0000e-03 eta: 8:38:51 time: 0.9007 data_time: 0.0291 memory: 11089 grad_norm: 5.5955 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1017 loss: 1.1017 2022/08/04 05:15:29 - mmengine - INFO - Epoch(train) [132][1580/1879] lr: 2.0000e-03 eta: 8:38:33 time: 0.9126 data_time: 0.0283 memory: 11089 grad_norm: 5.6593 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.4060 loss: 1.4060 2022/08/04 05:15:47 - mmengine - INFO - Epoch(train) [132][1600/1879] lr: 2.0000e-03 eta: 8:38:14 time: 0.9260 data_time: 0.0279 memory: 11089 grad_norm: 5.7523 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9739 loss: 0.9739 2022/08/04 05:16:06 - mmengine - INFO - Epoch(train) [132][1620/1879] lr: 2.0000e-03 eta: 8:37:56 time: 0.9212 data_time: 0.0283 memory: 11089 grad_norm: 5.8139 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3649 loss: 1.3649 2022/08/04 05:16:24 - mmengine - INFO - Epoch(train) [132][1640/1879] lr: 2.0000e-03 eta: 8:37:38 time: 0.8945 data_time: 0.0220 memory: 11089 grad_norm: 5.6434 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3053 loss: 1.3053 2022/08/04 05:16:42 - mmengine - INFO - Epoch(train) [132][1660/1879] lr: 2.0000e-03 eta: 8:37:20 time: 0.9066 data_time: 0.0265 memory: 11089 grad_norm: 5.6705 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1505 loss: 1.1505 2022/08/04 05:17:00 - mmengine - INFO - Epoch(train) [132][1680/1879] lr: 2.0000e-03 eta: 8:37:01 time: 0.9034 data_time: 0.0229 memory: 11089 grad_norm: 5.6903 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0797 loss: 1.0797 2022/08/04 05:17:18 - mmengine - INFO - Epoch(train) [132][1700/1879] lr: 2.0000e-03 eta: 8:36:43 time: 0.9116 data_time: 0.0232 memory: 11089 grad_norm: 5.7653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3238 loss: 1.3238 2022/08/04 05:17:36 - mmengine - INFO - Epoch(train) [132][1720/1879] lr: 2.0000e-03 eta: 8:36:25 time: 0.8937 data_time: 0.0205 memory: 11089 grad_norm: 5.5557 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9499 loss: 0.9499 2022/08/04 05:17:55 - mmengine - INFO - Epoch(train) [132][1740/1879] lr: 2.0000e-03 eta: 8:36:07 time: 0.9272 data_time: 0.0345 memory: 11089 grad_norm: 5.7479 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2901 loss: 1.2901 2022/08/04 05:18:13 - mmengine - INFO - Epoch(train) [132][1760/1879] lr: 2.0000e-03 eta: 8:35:48 time: 0.9239 data_time: 0.0242 memory: 11089 grad_norm: 5.5993 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9336 loss: 0.9336 2022/08/04 05:18:32 - mmengine - INFO - Epoch(train) [132][1780/1879] lr: 2.0000e-03 eta: 8:35:30 time: 0.9402 data_time: 0.0305 memory: 11089 grad_norm: 5.7078 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3091 loss: 1.3091 2022/08/04 05:18:50 - mmengine - INFO - Epoch(train) [132][1800/1879] lr: 2.0000e-03 eta: 8:35:12 time: 0.9000 data_time: 0.0303 memory: 11089 grad_norm: 5.6758 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.1734 loss: 1.1734 2022/08/04 05:19:09 - mmengine - INFO - Epoch(train) [132][1820/1879] lr: 2.0000e-03 eta: 8:34:54 time: 0.9475 data_time: 0.0264 memory: 11089 grad_norm: 5.5552 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1882 loss: 1.1882 2022/08/04 05:19:28 - mmengine - INFO - Epoch(train) [132][1840/1879] lr: 2.0000e-03 eta: 8:34:36 time: 0.9462 data_time: 0.0348 memory: 11089 grad_norm: 5.7365 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3192 loss: 1.3192 2022/08/04 05:19:38 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 05:19:46 - mmengine - INFO - Epoch(train) [132][1860/1879] lr: 2.0000e-03 eta: 8:34:18 time: 0.9364 data_time: 0.0355 memory: 11089 grad_norm: 5.7039 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2835 loss: 1.2835 2022/08/04 05:20:04 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 05:20:04 - mmengine - INFO - Epoch(train) [132][1879/1879] lr: 2.0000e-03 eta: 8:34:18 time: 0.9418 data_time: 0.0306 memory: 11089 grad_norm: 5.9692 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.3589 loss: 1.3589 2022/08/04 05:20:05 - mmengine - INFO - Saving checkpoint at 132 epochs 2022/08/04 05:20:28 - mmengine - INFO - Epoch(train) [133][20/1879] lr: 2.0000e-03 eta: 8:33:40 time: 1.0262 data_time: 0.1274 memory: 11089 grad_norm: 5.7073 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2328 loss: 1.2328 2022/08/04 05:20:46 - mmengine - INFO - Epoch(train) [133][40/1879] lr: 2.0000e-03 eta: 8:33:22 time: 0.9053 data_time: 0.0219 memory: 11089 grad_norm: 5.5836 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0796 loss: 1.0796 2022/08/04 05:21:04 - mmengine - INFO - Epoch(train) [133][60/1879] lr: 2.0000e-03 eta: 8:33:04 time: 0.9367 data_time: 0.0239 memory: 11089 grad_norm: 5.6809 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3177 loss: 1.3177 2022/08/04 05:21:23 - mmengine - INFO - Epoch(train) [133][80/1879] lr: 2.0000e-03 eta: 8:32:45 time: 0.9075 data_time: 0.0257 memory: 11089 grad_norm: 5.6427 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0180 loss: 1.0180 2022/08/04 05:21:41 - mmengine - INFO - Epoch(train) [133][100/1879] lr: 2.0000e-03 eta: 8:32:27 time: 0.9085 data_time: 0.0290 memory: 11089 grad_norm: 5.6589 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1642 loss: 1.1642 2022/08/04 05:22:00 - mmengine - INFO - Epoch(train) [133][120/1879] lr: 2.0000e-03 eta: 8:32:09 time: 0.9454 data_time: 0.0301 memory: 11089 grad_norm: 5.8235 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2323 loss: 1.2323 2022/08/04 05:22:18 - mmengine - INFO - Epoch(train) [133][140/1879] lr: 2.0000e-03 eta: 8:31:51 time: 0.9348 data_time: 0.0347 memory: 11089 grad_norm: 5.7065 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1395 loss: 1.1395 2022/08/04 05:22:37 - mmengine - INFO - Epoch(train) [133][160/1879] lr: 2.0000e-03 eta: 8:31:32 time: 0.9218 data_time: 0.0389 memory: 11089 grad_norm: 5.7283 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1295 loss: 1.1295 2022/08/04 05:22:56 - mmengine - INFO - Epoch(train) [133][180/1879] lr: 2.0000e-03 eta: 8:31:14 time: 0.9385 data_time: 0.0314 memory: 11089 grad_norm: 5.8566 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2500 loss: 1.2500 2022/08/04 05:23:14 - mmengine - INFO - Epoch(train) [133][200/1879] lr: 2.0000e-03 eta: 8:30:56 time: 0.9136 data_time: 0.0310 memory: 11089 grad_norm: 5.7792 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2830 loss: 1.2830 2022/08/04 05:23:32 - mmengine - INFO - Epoch(train) [133][220/1879] lr: 2.0000e-03 eta: 8:30:38 time: 0.9128 data_time: 0.0259 memory: 11089 grad_norm: 5.8817 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2557 loss: 1.2557 2022/08/04 05:23:51 - mmengine - INFO - Epoch(train) [133][240/1879] lr: 2.0000e-03 eta: 8:30:20 time: 0.9172 data_time: 0.0205 memory: 11089 grad_norm: 5.8084 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3173 loss: 1.3173 2022/08/04 05:24:09 - mmengine - INFO - Epoch(train) [133][260/1879] lr: 2.0000e-03 eta: 8:30:01 time: 0.9097 data_time: 0.0238 memory: 11089 grad_norm: 5.6839 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2830 loss: 1.2830 2022/08/04 05:24:27 - mmengine - INFO - Epoch(train) [133][280/1879] lr: 2.0000e-03 eta: 8:29:43 time: 0.9186 data_time: 0.0246 memory: 11089 grad_norm: 5.7710 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1595 loss: 1.1595 2022/08/04 05:24:46 - mmengine - INFO - Epoch(train) [133][300/1879] lr: 2.0000e-03 eta: 8:29:25 time: 0.9207 data_time: 0.0265 memory: 11089 grad_norm: 5.6051 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2901 loss: 1.2901 2022/08/04 05:25:04 - mmengine - INFO - Epoch(train) [133][320/1879] lr: 2.0000e-03 eta: 8:29:07 time: 0.9457 data_time: 0.0409 memory: 11089 grad_norm: 5.5981 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2401 loss: 1.2401 2022/08/04 05:25:23 - mmengine - INFO - Epoch(train) [133][340/1879] lr: 2.0000e-03 eta: 8:28:49 time: 0.9496 data_time: 0.0377 memory: 11089 grad_norm: 5.6219 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2084 loss: 1.2084 2022/08/04 05:25:42 - mmengine - INFO - Epoch(train) [133][360/1879] lr: 2.0000e-03 eta: 8:28:31 time: 0.9381 data_time: 0.0258 memory: 11089 grad_norm: 5.6512 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2508 loss: 1.2508 2022/08/04 05:26:01 - mmengine - INFO - Epoch(train) [133][380/1879] lr: 2.0000e-03 eta: 8:28:12 time: 0.9329 data_time: 0.0317 memory: 11089 grad_norm: 5.7709 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3231 loss: 1.3231 2022/08/04 05:26:19 - mmengine - INFO - Epoch(train) [133][400/1879] lr: 2.0000e-03 eta: 8:27:54 time: 0.9113 data_time: 0.0255 memory: 11089 grad_norm: 5.6631 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2628 loss: 1.2628 2022/08/04 05:26:38 - mmengine - INFO - Epoch(train) [133][420/1879] lr: 2.0000e-03 eta: 8:27:36 time: 0.9195 data_time: 0.0240 memory: 11089 grad_norm: 5.5115 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1685 loss: 1.1685 2022/08/04 05:26:56 - mmengine - INFO - Epoch(train) [133][440/1879] lr: 2.0000e-03 eta: 8:27:18 time: 0.9234 data_time: 0.0286 memory: 11089 grad_norm: 5.8858 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2131 loss: 1.2131 2022/08/04 05:27:14 - mmengine - INFO - Epoch(train) [133][460/1879] lr: 2.0000e-03 eta: 8:26:59 time: 0.9174 data_time: 0.0275 memory: 11089 grad_norm: 5.9230 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1947 loss: 1.1947 2022/08/04 05:27:33 - mmengine - INFO - Epoch(train) [133][480/1879] lr: 2.0000e-03 eta: 8:26:41 time: 0.9164 data_time: 0.0359 memory: 11089 grad_norm: 5.6678 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1431 loss: 1.1431 2022/08/04 05:27:51 - mmengine - INFO - Epoch(train) [133][500/1879] lr: 2.0000e-03 eta: 8:26:23 time: 0.9064 data_time: 0.0279 memory: 11089 grad_norm: 5.8823 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0401 loss: 1.0401 2022/08/04 05:28:09 - mmengine - INFO - Epoch(train) [133][520/1879] lr: 2.0000e-03 eta: 8:26:05 time: 0.9061 data_time: 0.0284 memory: 11089 grad_norm: 5.8852 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.3277 loss: 1.3277 2022/08/04 05:28:27 - mmengine - INFO - Epoch(train) [133][540/1879] lr: 2.0000e-03 eta: 8:25:46 time: 0.9033 data_time: 0.0287 memory: 11089 grad_norm: 5.6272 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1335 loss: 1.1335 2022/08/04 05:28:46 - mmengine - INFO - Epoch(train) [133][560/1879] lr: 2.0000e-03 eta: 8:25:28 time: 0.9568 data_time: 0.0287 memory: 11089 grad_norm: 5.7233 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2595 loss: 1.2595 2022/08/04 05:29:05 - mmengine - INFO - Epoch(train) [133][580/1879] lr: 2.0000e-03 eta: 8:25:10 time: 0.9232 data_time: 0.0260 memory: 11089 grad_norm: 5.3949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1555 loss: 1.1555 2022/08/04 05:29:23 - mmengine - INFO - Epoch(train) [133][600/1879] lr: 2.0000e-03 eta: 8:24:52 time: 0.9024 data_time: 0.0245 memory: 11089 grad_norm: 5.7287 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1417 loss: 1.1417 2022/08/04 05:29:41 - mmengine - INFO - Epoch(train) [133][620/1879] lr: 2.0000e-03 eta: 8:24:34 time: 0.9115 data_time: 0.0319 memory: 11089 grad_norm: 5.6709 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1894 loss: 1.1894 2022/08/04 05:30:00 - mmengine - INFO - Epoch(train) [133][640/1879] lr: 2.0000e-03 eta: 8:24:16 time: 0.9425 data_time: 0.0250 memory: 11089 grad_norm: 5.5857 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1663 loss: 1.1663 2022/08/04 05:30:18 - mmengine - INFO - Epoch(train) [133][660/1879] lr: 2.0000e-03 eta: 8:23:57 time: 0.9191 data_time: 0.0295 memory: 11089 grad_norm: 5.7283 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1697 loss: 1.1697 2022/08/04 05:30:37 - mmengine - INFO - Epoch(train) [133][680/1879] lr: 2.0000e-03 eta: 8:23:39 time: 0.9407 data_time: 0.0318 memory: 11089 grad_norm: 5.6263 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3788 loss: 1.3788 2022/08/04 05:30:56 - mmengine - INFO - Epoch(train) [133][700/1879] lr: 2.0000e-03 eta: 8:23:21 time: 0.9448 data_time: 0.0416 memory: 11089 grad_norm: 5.5553 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0668 loss: 1.0668 2022/08/04 05:31:14 - mmengine - INFO - Epoch(train) [133][720/1879] lr: 2.0000e-03 eta: 8:23:03 time: 0.9100 data_time: 0.0305 memory: 11089 grad_norm: 5.6653 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2100 loss: 1.2100 2022/08/04 05:31:33 - mmengine - INFO - Epoch(train) [133][740/1879] lr: 2.0000e-03 eta: 8:22:45 time: 0.9218 data_time: 0.0234 memory: 11089 grad_norm: 5.7798 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1638 loss: 1.1638 2022/08/04 05:31:51 - mmengine - INFO - Epoch(train) [133][760/1879] lr: 2.0000e-03 eta: 8:22:26 time: 0.9409 data_time: 0.0354 memory: 11089 grad_norm: 5.8935 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2225 loss: 1.2225 2022/08/04 05:32:10 - mmengine - INFO - Epoch(train) [133][780/1879] lr: 2.0000e-03 eta: 8:22:08 time: 0.9238 data_time: 0.0306 memory: 11089 grad_norm: 5.6066 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2177 loss: 1.2177 2022/08/04 05:32:28 - mmengine - INFO - Epoch(train) [133][800/1879] lr: 2.0000e-03 eta: 8:21:50 time: 0.8852 data_time: 0.0215 memory: 11089 grad_norm: 5.8045 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3250 loss: 1.3250 2022/08/04 05:32:46 - mmengine - INFO - Epoch(train) [133][820/1879] lr: 2.0000e-03 eta: 8:21:32 time: 0.9185 data_time: 0.0247 memory: 11089 grad_norm: 5.8776 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1388 loss: 1.1388 2022/08/04 05:33:05 - mmengine - INFO - Epoch(train) [133][840/1879] lr: 2.0000e-03 eta: 8:21:13 time: 0.9443 data_time: 0.0244 memory: 11089 grad_norm: 5.7869 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4624 loss: 1.4624 2022/08/04 05:33:23 - mmengine - INFO - Epoch(train) [133][860/1879] lr: 2.0000e-03 eta: 8:20:55 time: 0.8983 data_time: 0.0236 memory: 11089 grad_norm: 5.7549 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.4178 loss: 1.4178 2022/08/04 05:33:41 - mmengine - INFO - Epoch(train) [133][880/1879] lr: 2.0000e-03 eta: 8:20:37 time: 0.9331 data_time: 0.0335 memory: 11089 grad_norm: 5.8108 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2831 loss: 1.2831 2022/08/04 05:34:00 - mmengine - INFO - Epoch(train) [133][900/1879] lr: 2.0000e-03 eta: 8:20:19 time: 0.9175 data_time: 0.0204 memory: 11089 grad_norm: 5.5459 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3341 loss: 1.3341 2022/08/04 05:34:18 - mmengine - INFO - Epoch(train) [133][920/1879] lr: 2.0000e-03 eta: 8:20:01 time: 0.9172 data_time: 0.0293 memory: 11089 grad_norm: 5.7442 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2761 loss: 1.2761 2022/08/04 05:34:36 - mmengine - INFO - Epoch(train) [133][940/1879] lr: 2.0000e-03 eta: 8:19:42 time: 0.9099 data_time: 0.0276 memory: 11089 grad_norm: 5.6098 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1994 loss: 1.1994 2022/08/04 05:34:55 - mmengine - INFO - Epoch(train) [133][960/1879] lr: 2.0000e-03 eta: 8:19:24 time: 0.9283 data_time: 0.0330 memory: 11089 grad_norm: 5.7039 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1782 loss: 1.1782 2022/08/04 05:35:06 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 05:35:13 - mmengine - INFO - Epoch(train) [133][980/1879] lr: 2.0000e-03 eta: 8:19:06 time: 0.9061 data_time: 0.0285 memory: 11089 grad_norm: 5.7211 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3978 loss: 1.3978 2022/08/04 05:35:31 - mmengine - INFO - Epoch(train) [133][1000/1879] lr: 2.0000e-03 eta: 8:18:48 time: 0.9183 data_time: 0.0286 memory: 11089 grad_norm: 5.9264 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2486 loss: 1.2486 2022/08/04 05:35:50 - mmengine - INFO - Epoch(train) [133][1020/1879] lr: 2.0000e-03 eta: 8:18:29 time: 0.9284 data_time: 0.0254 memory: 11089 grad_norm: 5.6900 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1924 loss: 1.1924 2022/08/04 05:36:09 - mmengine - INFO - Epoch(train) [133][1040/1879] lr: 2.0000e-03 eta: 8:18:11 time: 0.9350 data_time: 0.0379 memory: 11089 grad_norm: 5.7055 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2918 loss: 1.2918 2022/08/04 05:36:27 - mmengine - INFO - Epoch(train) [133][1060/1879] lr: 2.0000e-03 eta: 8:17:53 time: 0.9152 data_time: 0.0239 memory: 11089 grad_norm: 5.6564 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2333 loss: 1.2333 2022/08/04 05:36:46 - mmengine - INFO - Epoch(train) [133][1080/1879] lr: 2.0000e-03 eta: 8:17:35 time: 0.9228 data_time: 0.0218 memory: 11089 grad_norm: 5.8673 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0666 loss: 1.0666 2022/08/04 05:37:04 - mmengine - INFO - Epoch(train) [133][1100/1879] lr: 2.0000e-03 eta: 8:17:17 time: 0.9390 data_time: 0.0354 memory: 11089 grad_norm: 5.9398 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3042 loss: 1.3042 2022/08/04 05:37:23 - mmengine - INFO - Epoch(train) [133][1120/1879] lr: 2.0000e-03 eta: 8:16:59 time: 0.9228 data_time: 0.0259 memory: 11089 grad_norm: 5.7757 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0805 loss: 1.0805 2022/08/04 05:37:41 - mmengine - INFO - Epoch(train) [133][1140/1879] lr: 2.0000e-03 eta: 8:16:40 time: 0.9082 data_time: 0.0255 memory: 11089 grad_norm: 5.7716 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3359 loss: 1.3359 2022/08/04 05:37:59 - mmengine - INFO - Epoch(train) [133][1160/1879] lr: 2.0000e-03 eta: 8:16:22 time: 0.9141 data_time: 0.0327 memory: 11089 grad_norm: 5.7101 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2006 loss: 1.2006 2022/08/04 05:38:17 - mmengine - INFO - Epoch(train) [133][1180/1879] lr: 2.0000e-03 eta: 8:16:04 time: 0.9080 data_time: 0.0252 memory: 11089 grad_norm: 5.8483 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1069 loss: 1.1069 2022/08/04 05:38:36 - mmengine - INFO - Epoch(train) [133][1200/1879] lr: 2.0000e-03 eta: 8:15:46 time: 0.9245 data_time: 0.0320 memory: 11089 grad_norm: 6.0879 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3054 loss: 1.3054 2022/08/04 05:38:54 - mmengine - INFO - Epoch(train) [133][1220/1879] lr: 2.0000e-03 eta: 8:15:27 time: 0.9110 data_time: 0.0295 memory: 11089 grad_norm: 5.9973 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3653 loss: 1.3653 2022/08/04 05:39:12 - mmengine - INFO - Epoch(train) [133][1240/1879] lr: 2.0000e-03 eta: 8:15:09 time: 0.9071 data_time: 0.0259 memory: 11089 grad_norm: 5.6615 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0147 loss: 1.0147 2022/08/04 05:39:31 - mmengine - INFO - Epoch(train) [133][1260/1879] lr: 2.0000e-03 eta: 8:14:51 time: 0.9213 data_time: 0.0263 memory: 11089 grad_norm: 5.6002 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2091 loss: 1.2091 2022/08/04 05:39:49 - mmengine - INFO - Epoch(train) [133][1280/1879] lr: 2.0000e-03 eta: 8:14:33 time: 0.9299 data_time: 0.0340 memory: 11089 grad_norm: 5.7981 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3426 loss: 1.3426 2022/08/04 05:40:08 - mmengine - INFO - Epoch(train) [133][1300/1879] lr: 2.0000e-03 eta: 8:14:14 time: 0.9225 data_time: 0.0218 memory: 11089 grad_norm: 5.6579 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3356 loss: 1.3356 2022/08/04 05:40:26 - mmengine - INFO - Epoch(train) [133][1320/1879] lr: 2.0000e-03 eta: 8:13:56 time: 0.9308 data_time: 0.0338 memory: 11089 grad_norm: 5.7412 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4479 loss: 1.4479 2022/08/04 05:40:45 - mmengine - INFO - Epoch(train) [133][1340/1879] lr: 2.0000e-03 eta: 8:13:38 time: 0.9087 data_time: 0.0266 memory: 11089 grad_norm: 5.7697 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0890 loss: 1.0890 2022/08/04 05:41:03 - mmengine - INFO - Epoch(train) [133][1360/1879] lr: 2.0000e-03 eta: 8:13:20 time: 0.9155 data_time: 0.0323 memory: 11089 grad_norm: 5.7918 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1649 loss: 1.1649 2022/08/04 05:41:21 - mmengine - INFO - Epoch(train) [133][1380/1879] lr: 2.0000e-03 eta: 8:13:02 time: 0.9196 data_time: 0.0287 memory: 11089 grad_norm: 5.7953 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1408 loss: 1.1408 2022/08/04 05:41:40 - mmengine - INFO - Epoch(train) [133][1400/1879] lr: 2.0000e-03 eta: 8:12:43 time: 0.9127 data_time: 0.0280 memory: 11089 grad_norm: 5.6831 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2283 loss: 1.2283 2022/08/04 05:41:58 - mmengine - INFO - Epoch(train) [133][1420/1879] lr: 2.0000e-03 eta: 8:12:25 time: 0.9148 data_time: 0.0282 memory: 11089 grad_norm: 5.6142 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1894 loss: 1.1894 2022/08/04 05:42:16 - mmengine - INFO - Epoch(train) [133][1440/1879] lr: 2.0000e-03 eta: 8:12:07 time: 0.9288 data_time: 0.0279 memory: 11089 grad_norm: 5.7635 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2678 loss: 1.2678 2022/08/04 05:42:35 - mmengine - INFO - Epoch(train) [133][1460/1879] lr: 2.0000e-03 eta: 8:11:49 time: 0.9277 data_time: 0.0294 memory: 11089 grad_norm: 5.6351 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1419 loss: 1.1419 2022/08/04 05:42:54 - mmengine - INFO - Epoch(train) [133][1480/1879] lr: 2.0000e-03 eta: 8:11:31 time: 0.9404 data_time: 0.0290 memory: 11089 grad_norm: 5.7350 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2338 loss: 1.2338 2022/08/04 05:43:13 - mmengine - INFO - Epoch(train) [133][1500/1879] lr: 2.0000e-03 eta: 8:11:12 time: 0.9385 data_time: 0.0322 memory: 11089 grad_norm: 5.6480 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0932 loss: 1.0932 2022/08/04 05:43:31 - mmengine - INFO - Epoch(train) [133][1520/1879] lr: 2.0000e-03 eta: 8:10:54 time: 0.9196 data_time: 0.0286 memory: 11089 grad_norm: 5.8744 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3510 loss: 1.3510 2022/08/04 05:43:50 - mmengine - INFO - Epoch(train) [133][1540/1879] lr: 2.0000e-03 eta: 8:10:36 time: 0.9278 data_time: 0.0286 memory: 11089 grad_norm: 6.0046 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2383 loss: 1.2383 2022/08/04 05:44:08 - mmengine - INFO - Epoch(train) [133][1560/1879] lr: 2.0000e-03 eta: 8:10:18 time: 0.9064 data_time: 0.0250 memory: 11089 grad_norm: 5.9397 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0220 loss: 1.0220 2022/08/04 05:44:26 - mmengine - INFO - Epoch(train) [133][1580/1879] lr: 2.0000e-03 eta: 8:10:00 time: 0.9136 data_time: 0.0290 memory: 11089 grad_norm: 5.7517 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2900 loss: 1.2900 2022/08/04 05:44:44 - mmengine - INFO - Epoch(train) [133][1600/1879] lr: 2.0000e-03 eta: 8:09:41 time: 0.9081 data_time: 0.0262 memory: 11089 grad_norm: 5.7295 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0840 loss: 1.0840 2022/08/04 05:45:02 - mmengine - INFO - Epoch(train) [133][1620/1879] lr: 2.0000e-03 eta: 8:09:23 time: 0.9128 data_time: 0.0324 memory: 11089 grad_norm: 5.7985 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2582 loss: 1.2582 2022/08/04 05:45:21 - mmengine - INFO - Epoch(train) [133][1640/1879] lr: 2.0000e-03 eta: 8:09:05 time: 0.9310 data_time: 0.0269 memory: 11089 grad_norm: 5.6641 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9863 loss: 0.9863 2022/08/04 05:45:40 - mmengine - INFO - Epoch(train) [133][1660/1879] lr: 2.0000e-03 eta: 8:08:47 time: 0.9439 data_time: 0.0423 memory: 11089 grad_norm: 5.8060 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2727 loss: 1.2727 2022/08/04 05:45:58 - mmengine - INFO - Epoch(train) [133][1680/1879] lr: 2.0000e-03 eta: 8:08:28 time: 0.9110 data_time: 0.0230 memory: 11089 grad_norm: 5.8836 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2389 loss: 1.2389 2022/08/04 05:46:17 - mmengine - INFO - Epoch(train) [133][1700/1879] lr: 2.0000e-03 eta: 8:08:10 time: 0.9250 data_time: 0.0259 memory: 11089 grad_norm: 5.9014 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3446 loss: 1.3446 2022/08/04 05:46:35 - mmengine - INFO - Epoch(train) [133][1720/1879] lr: 2.0000e-03 eta: 8:07:52 time: 0.9383 data_time: 0.0322 memory: 11089 grad_norm: 5.7677 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1528 loss: 1.1528 2022/08/04 05:46:54 - mmengine - INFO - Epoch(train) [133][1740/1879] lr: 2.0000e-03 eta: 8:07:34 time: 0.9170 data_time: 0.0310 memory: 11089 grad_norm: 5.6061 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 0.9702 loss: 0.9702 2022/08/04 05:47:12 - mmengine - INFO - Epoch(train) [133][1760/1879] lr: 2.0000e-03 eta: 8:07:16 time: 0.9142 data_time: 0.0270 memory: 11089 grad_norm: 5.8934 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3246 loss: 1.3246 2022/08/04 05:47:30 - mmengine - INFO - Epoch(train) [133][1780/1879] lr: 2.0000e-03 eta: 8:06:57 time: 0.9137 data_time: 0.0257 memory: 11089 grad_norm: 5.7469 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3595 loss: 1.3595 2022/08/04 05:47:49 - mmengine - INFO - Epoch(train) [133][1800/1879] lr: 2.0000e-03 eta: 8:06:39 time: 0.9303 data_time: 0.0371 memory: 11089 grad_norm: 5.6848 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1112 loss: 1.1112 2022/08/04 05:48:08 - mmengine - INFO - Epoch(train) [133][1820/1879] lr: 2.0000e-03 eta: 8:06:21 time: 0.9426 data_time: 0.0287 memory: 11089 grad_norm: 5.6408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1179 loss: 1.1179 2022/08/04 05:48:26 - mmengine - INFO - Epoch(train) [133][1840/1879] lr: 2.0000e-03 eta: 8:06:03 time: 0.9250 data_time: 0.0336 memory: 11089 grad_norm: 5.6714 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3206 loss: 1.3206 2022/08/04 05:48:45 - mmengine - INFO - Epoch(train) [133][1860/1879] lr: 2.0000e-03 eta: 8:05:45 time: 0.9071 data_time: 0.0200 memory: 11089 grad_norm: 5.9432 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3504 loss: 1.3504 2022/08/04 05:49:02 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 05:49:02 - mmengine - INFO - Epoch(train) [133][1879/1879] lr: 2.0000e-03 eta: 8:05:45 time: 0.9049 data_time: 0.0339 memory: 11089 grad_norm: 5.6944 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.1150 loss: 1.1150 2022/08/04 05:49:22 - mmengine - INFO - Epoch(train) [134][20/1879] lr: 2.0000e-03 eta: 8:05:07 time: 1.0132 data_time: 0.1249 memory: 11089 grad_norm: 5.6973 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2731 loss: 1.2731 2022/08/04 05:49:40 - mmengine - INFO - Epoch(train) [134][40/1879] lr: 2.0000e-03 eta: 8:04:49 time: 0.9074 data_time: 0.0236 memory: 11089 grad_norm: 5.7406 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1719 loss: 1.1719 2022/08/04 05:49:59 - mmengine - INFO - Epoch(train) [134][60/1879] lr: 2.0000e-03 eta: 8:04:31 time: 0.9583 data_time: 0.0284 memory: 11089 grad_norm: 5.6894 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1888 loss: 1.1888 2022/08/04 05:50:18 - mmengine - INFO - Epoch(train) [134][80/1879] lr: 2.0000e-03 eta: 8:04:13 time: 0.9408 data_time: 0.0272 memory: 11089 grad_norm: 5.6701 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1844 loss: 1.1844 2022/08/04 05:50:30 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 05:50:37 - mmengine - INFO - Epoch(train) [134][100/1879] lr: 2.0000e-03 eta: 8:03:54 time: 0.9367 data_time: 0.0262 memory: 11089 grad_norm: 5.6785 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0776 loss: 1.0776 2022/08/04 05:50:55 - mmengine - INFO - Epoch(train) [134][120/1879] lr: 2.0000e-03 eta: 8:03:36 time: 0.9050 data_time: 0.0245 memory: 11089 grad_norm: 5.9116 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3843 loss: 1.3843 2022/08/04 05:51:13 - mmengine - INFO - Epoch(train) [134][140/1879] lr: 2.0000e-03 eta: 8:03:18 time: 0.9162 data_time: 0.0244 memory: 11089 grad_norm: 5.6401 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2382 loss: 1.2382 2022/08/04 05:51:32 - mmengine - INFO - Epoch(train) [134][160/1879] lr: 2.0000e-03 eta: 8:03:00 time: 0.9445 data_time: 0.0289 memory: 11089 grad_norm: 5.6335 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2018 loss: 1.2018 2022/08/04 05:51:51 - mmengine - INFO - Epoch(train) [134][180/1879] lr: 2.0000e-03 eta: 8:02:42 time: 0.9390 data_time: 0.0233 memory: 11089 grad_norm: 5.6254 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2069 loss: 1.2069 2022/08/04 05:52:10 - mmengine - INFO - Epoch(train) [134][200/1879] lr: 2.0000e-03 eta: 8:02:23 time: 0.9353 data_time: 0.0220 memory: 11089 grad_norm: 5.7523 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1177 loss: 1.1177 2022/08/04 05:52:28 - mmengine - INFO - Epoch(train) [134][220/1879] lr: 2.0000e-03 eta: 8:02:05 time: 0.9182 data_time: 0.0285 memory: 11089 grad_norm: 5.7474 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2852 loss: 1.2852 2022/08/04 05:52:46 - mmengine - INFO - Epoch(train) [134][240/1879] lr: 2.0000e-03 eta: 8:01:47 time: 0.9171 data_time: 0.0214 memory: 11089 grad_norm: 5.7225 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2741 loss: 1.2741 2022/08/04 05:53:04 - mmengine - INFO - Epoch(train) [134][260/1879] lr: 2.0000e-03 eta: 8:01:29 time: 0.9002 data_time: 0.0249 memory: 11089 grad_norm: 5.6624 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1726 loss: 1.1726 2022/08/04 05:53:23 - mmengine - INFO - Epoch(train) [134][280/1879] lr: 2.0000e-03 eta: 8:01:10 time: 0.9051 data_time: 0.0280 memory: 11089 grad_norm: 5.7547 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4328 loss: 1.4328 2022/08/04 05:53:41 - mmengine - INFO - Epoch(train) [134][300/1879] lr: 2.0000e-03 eta: 8:00:52 time: 0.9201 data_time: 0.0273 memory: 11089 grad_norm: 5.8227 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2941 loss: 1.2941 2022/08/04 05:54:00 - mmengine - INFO - Epoch(train) [134][320/1879] lr: 2.0000e-03 eta: 8:00:34 time: 0.9299 data_time: 0.0343 memory: 11089 grad_norm: 5.7519 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3054 loss: 1.3054 2022/08/04 05:54:18 - mmengine - INFO - Epoch(train) [134][340/1879] lr: 2.0000e-03 eta: 8:00:16 time: 0.9382 data_time: 0.0357 memory: 11089 grad_norm: 5.8546 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1613 loss: 1.1613 2022/08/04 05:54:37 - mmengine - INFO - Epoch(train) [134][360/1879] lr: 2.0000e-03 eta: 7:59:58 time: 0.9375 data_time: 0.0339 memory: 11089 grad_norm: 5.8875 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1951 loss: 1.1951 2022/08/04 05:54:56 - mmengine - INFO - Epoch(train) [134][380/1879] lr: 2.0000e-03 eta: 7:59:39 time: 0.9244 data_time: 0.0233 memory: 11089 grad_norm: 5.7451 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0695 loss: 1.0695 2022/08/04 05:55:14 - mmengine - INFO - Epoch(train) [134][400/1879] lr: 2.0000e-03 eta: 7:59:21 time: 0.9375 data_time: 0.0319 memory: 11089 grad_norm: 5.9126 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2315 loss: 1.2315 2022/08/04 05:55:32 - mmengine - INFO - Epoch(train) [134][420/1879] lr: 2.0000e-03 eta: 7:59:03 time: 0.9041 data_time: 0.0197 memory: 11089 grad_norm: 5.7125 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3101 loss: 1.3101 2022/08/04 05:55:51 - mmengine - INFO - Epoch(train) [134][440/1879] lr: 2.0000e-03 eta: 7:58:45 time: 0.9263 data_time: 0.0245 memory: 11089 grad_norm: 5.7224 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2523 loss: 1.2523 2022/08/04 05:56:09 - mmengine - INFO - Epoch(train) [134][460/1879] lr: 2.0000e-03 eta: 7:58:27 time: 0.9195 data_time: 0.0281 memory: 11089 grad_norm: 6.0181 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3390 loss: 1.3390 2022/08/04 05:56:28 - mmengine - INFO - Epoch(train) [134][480/1879] lr: 2.0000e-03 eta: 7:58:08 time: 0.9394 data_time: 0.0306 memory: 11089 grad_norm: 5.7638 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1467 loss: 1.1467 2022/08/04 05:56:46 - mmengine - INFO - Epoch(train) [134][500/1879] lr: 2.0000e-03 eta: 7:57:50 time: 0.9085 data_time: 0.0271 memory: 11089 grad_norm: 5.9700 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2440 loss: 1.2440 2022/08/04 05:57:04 - mmengine - INFO - Epoch(train) [134][520/1879] lr: 2.0000e-03 eta: 7:57:32 time: 0.9018 data_time: 0.0217 memory: 11089 grad_norm: 5.6413 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2980 loss: 1.2980 2022/08/04 05:57:23 - mmengine - INFO - Epoch(train) [134][540/1879] lr: 2.0000e-03 eta: 7:57:14 time: 0.9116 data_time: 0.0230 memory: 11089 grad_norm: 5.8396 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9970 loss: 0.9970 2022/08/04 05:57:41 - mmengine - INFO - Epoch(train) [134][560/1879] lr: 2.0000e-03 eta: 7:56:56 time: 0.9262 data_time: 0.0303 memory: 11089 grad_norm: 5.7637 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2280 loss: 1.2280 2022/08/04 05:58:00 - mmengine - INFO - Epoch(train) [134][580/1879] lr: 2.0000e-03 eta: 7:56:37 time: 0.9276 data_time: 0.0218 memory: 11089 grad_norm: 5.8230 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1925 loss: 1.1925 2022/08/04 05:58:19 - mmengine - INFO - Epoch(train) [134][600/1879] lr: 2.0000e-03 eta: 7:56:19 time: 0.9385 data_time: 0.0303 memory: 11089 grad_norm: 5.7656 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2902 loss: 1.2902 2022/08/04 05:58:37 - mmengine - INFO - Epoch(train) [134][620/1879] lr: 2.0000e-03 eta: 7:56:01 time: 0.9077 data_time: 0.0257 memory: 11089 grad_norm: 5.8294 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2101 loss: 1.2101 2022/08/04 05:58:55 - mmengine - INFO - Epoch(train) [134][640/1879] lr: 2.0000e-03 eta: 7:55:43 time: 0.9050 data_time: 0.0270 memory: 11089 grad_norm: 5.7161 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2959 loss: 1.2959 2022/08/04 05:59:14 - mmengine - INFO - Epoch(train) [134][660/1879] lr: 2.0000e-03 eta: 7:55:25 time: 0.9468 data_time: 0.0270 memory: 11089 grad_norm: 5.8070 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1113 loss: 1.1113 2022/08/04 05:59:32 - mmengine - INFO - Epoch(train) [134][680/1879] lr: 2.0000e-03 eta: 7:55:06 time: 0.9188 data_time: 0.0265 memory: 11089 grad_norm: 5.8263 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1984 loss: 1.1984 2022/08/04 05:59:51 - mmengine - INFO - Epoch(train) [134][700/1879] lr: 2.0000e-03 eta: 7:54:48 time: 0.9236 data_time: 0.0256 memory: 11089 grad_norm: 5.7538 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2272 loss: 1.2272 2022/08/04 06:00:12 - mmengine - INFO - Epoch(train) [134][720/1879] lr: 2.0000e-03 eta: 7:54:30 time: 1.0534 data_time: 0.0333 memory: 11089 grad_norm: 5.7315 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2386 loss: 1.2386 2022/08/04 06:00:30 - mmengine - INFO - Epoch(train) [134][740/1879] lr: 2.0000e-03 eta: 7:54:12 time: 0.9121 data_time: 0.0251 memory: 11089 grad_norm: 5.8718 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1724 loss: 1.1724 2022/08/04 06:00:49 - mmengine - INFO - Epoch(train) [134][760/1879] lr: 2.0000e-03 eta: 7:53:54 time: 0.9347 data_time: 0.0255 memory: 11089 grad_norm: 5.7287 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2256 loss: 1.2256 2022/08/04 06:01:07 - mmengine - INFO - Epoch(train) [134][780/1879] lr: 2.0000e-03 eta: 7:53:36 time: 0.9237 data_time: 0.0285 memory: 11089 grad_norm: 5.7940 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2291 loss: 1.2291 2022/08/04 06:01:25 - mmengine - INFO - Epoch(train) [134][800/1879] lr: 2.0000e-03 eta: 7:53:17 time: 0.8984 data_time: 0.0239 memory: 11089 grad_norm: 5.6515 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0587 loss: 1.0587 2022/08/04 06:01:44 - mmengine - INFO - Epoch(train) [134][820/1879] lr: 2.0000e-03 eta: 7:52:59 time: 0.9323 data_time: 0.0213 memory: 11089 grad_norm: 5.9735 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0890 loss: 1.0890 2022/08/04 06:02:03 - mmengine - INFO - Epoch(train) [134][840/1879] lr: 2.0000e-03 eta: 7:52:41 time: 0.9393 data_time: 0.0332 memory: 11089 grad_norm: 5.8777 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2650 loss: 1.2650 2022/08/04 06:02:21 - mmengine - INFO - Epoch(train) [134][860/1879] lr: 2.0000e-03 eta: 7:52:23 time: 0.9049 data_time: 0.0284 memory: 11089 grad_norm: 5.6464 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1554 loss: 1.1554 2022/08/04 06:02:39 - mmengine - INFO - Epoch(train) [134][880/1879] lr: 2.0000e-03 eta: 7:52:04 time: 0.9089 data_time: 0.0282 memory: 11089 grad_norm: 5.8434 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1211 loss: 1.1211 2022/08/04 06:02:57 - mmengine - INFO - Epoch(train) [134][900/1879] lr: 2.0000e-03 eta: 7:51:46 time: 0.9200 data_time: 0.0254 memory: 11089 grad_norm: 5.9189 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3581 loss: 1.3581 2022/08/04 06:03:15 - mmengine - INFO - Epoch(train) [134][920/1879] lr: 2.0000e-03 eta: 7:51:28 time: 0.9035 data_time: 0.0239 memory: 11089 grad_norm: 6.0255 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3506 loss: 1.3506 2022/08/04 06:03:34 - mmengine - INFO - Epoch(train) [134][940/1879] lr: 2.0000e-03 eta: 7:51:10 time: 0.9324 data_time: 0.0286 memory: 11089 grad_norm: 5.8073 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4119 loss: 1.4119 2022/08/04 06:03:52 - mmengine - INFO - Epoch(train) [134][960/1879] lr: 2.0000e-03 eta: 7:50:52 time: 0.9272 data_time: 0.0273 memory: 11089 grad_norm: 5.7437 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0563 loss: 1.0563 2022/08/04 06:04:11 - mmengine - INFO - Epoch(train) [134][980/1879] lr: 2.0000e-03 eta: 7:50:33 time: 0.9302 data_time: 0.0254 memory: 11089 grad_norm: 5.8993 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2988 loss: 1.2988 2022/08/04 06:04:30 - mmengine - INFO - Epoch(train) [134][1000/1879] lr: 2.0000e-03 eta: 7:50:15 time: 0.9230 data_time: 0.0341 memory: 11089 grad_norm: 5.8361 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2844 loss: 1.2844 2022/08/04 06:04:48 - mmengine - INFO - Epoch(train) [134][1020/1879] lr: 2.0000e-03 eta: 7:49:57 time: 0.9407 data_time: 0.0339 memory: 11089 grad_norm: 5.8236 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.2999 loss: 1.2999 2022/08/04 06:05:07 - mmengine - INFO - Epoch(train) [134][1040/1879] lr: 2.0000e-03 eta: 7:49:39 time: 0.9362 data_time: 0.0349 memory: 11089 grad_norm: 5.7120 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1806 loss: 1.1806 2022/08/04 06:05:25 - mmengine - INFO - Epoch(train) [134][1060/1879] lr: 2.0000e-03 eta: 7:49:21 time: 0.9175 data_time: 0.0278 memory: 11089 grad_norm: 5.7313 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2659 loss: 1.2659 2022/08/04 06:05:44 - mmengine - INFO - Epoch(train) [134][1080/1879] lr: 2.0000e-03 eta: 7:49:02 time: 0.9119 data_time: 0.0286 memory: 11089 grad_norm: 5.8917 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2704 loss: 1.2704 2022/08/04 06:05:55 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 06:06:02 - mmengine - INFO - Epoch(train) [134][1100/1879] lr: 2.0000e-03 eta: 7:48:44 time: 0.9379 data_time: 0.0287 memory: 11089 grad_norm: 5.9264 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1979 loss: 1.1979 2022/08/04 06:06:21 - mmengine - INFO - Epoch(train) [134][1120/1879] lr: 2.0000e-03 eta: 7:48:26 time: 0.9245 data_time: 0.0265 memory: 11089 grad_norm: 5.8213 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1159 loss: 1.1159 2022/08/04 06:06:40 - mmengine - INFO - Epoch(train) [134][1140/1879] lr: 2.0000e-03 eta: 7:48:08 time: 0.9575 data_time: 0.0259 memory: 11089 grad_norm: 5.9845 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2103 loss: 1.2103 2022/08/04 06:06:58 - mmengine - INFO - Epoch(train) [134][1160/1879] lr: 2.0000e-03 eta: 7:47:50 time: 0.8941 data_time: 0.0236 memory: 11089 grad_norm: 5.5806 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1437 loss: 1.1437 2022/08/04 06:07:16 - mmengine - INFO - Epoch(train) [134][1180/1879] lr: 2.0000e-03 eta: 7:47:31 time: 0.9108 data_time: 0.0212 memory: 11089 grad_norm: 5.6488 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1569 loss: 1.1569 2022/08/04 06:07:35 - mmengine - INFO - Epoch(train) [134][1200/1879] lr: 2.0000e-03 eta: 7:47:13 time: 0.9185 data_time: 0.0261 memory: 11089 grad_norm: 5.8605 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3309 loss: 1.3309 2022/08/04 06:07:53 - mmengine - INFO - Epoch(train) [134][1220/1879] lr: 2.0000e-03 eta: 7:46:55 time: 0.9252 data_time: 0.0233 memory: 11089 grad_norm: 5.9945 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2837 loss: 1.2837 2022/08/04 06:08:12 - mmengine - INFO - Epoch(train) [134][1240/1879] lr: 2.0000e-03 eta: 7:46:37 time: 0.9308 data_time: 0.0402 memory: 11089 grad_norm: 5.8690 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2666 loss: 1.2666 2022/08/04 06:08:31 - mmengine - INFO - Epoch(train) [134][1260/1879] lr: 2.0000e-03 eta: 7:46:19 time: 0.9338 data_time: 0.0274 memory: 11089 grad_norm: 5.9050 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2723 loss: 1.2723 2022/08/04 06:08:49 - mmengine - INFO - Epoch(train) [134][1280/1879] lr: 2.0000e-03 eta: 7:46:00 time: 0.9326 data_time: 0.0359 memory: 11089 grad_norm: 5.7893 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0923 loss: 1.0923 2022/08/04 06:09:08 - mmengine - INFO - Epoch(train) [134][1300/1879] lr: 2.0000e-03 eta: 7:45:42 time: 0.9218 data_time: 0.0342 memory: 11089 grad_norm: 5.8300 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1639 loss: 1.1639 2022/08/04 06:09:27 - mmengine - INFO - Epoch(train) [134][1320/1879] lr: 2.0000e-03 eta: 7:45:24 time: 0.9439 data_time: 0.0310 memory: 11089 grad_norm: 5.8042 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2668 loss: 1.2668 2022/08/04 06:09:45 - mmengine - INFO - Epoch(train) [134][1340/1879] lr: 2.0000e-03 eta: 7:45:06 time: 0.9210 data_time: 0.0324 memory: 11089 grad_norm: 5.9749 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3853 loss: 1.3853 2022/08/04 06:10:03 - mmengine - INFO - Epoch(train) [134][1360/1879] lr: 2.0000e-03 eta: 7:44:48 time: 0.9247 data_time: 0.0240 memory: 11089 grad_norm: 5.7124 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2840 loss: 1.2840 2022/08/04 06:10:21 - mmengine - INFO - Epoch(train) [134][1380/1879] lr: 2.0000e-03 eta: 7:44:29 time: 0.9067 data_time: 0.0312 memory: 11089 grad_norm: 5.8015 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4352 loss: 1.4352 2022/08/04 06:10:40 - mmengine - INFO - Epoch(train) [134][1400/1879] lr: 2.0000e-03 eta: 7:44:11 time: 0.9113 data_time: 0.0275 memory: 11089 grad_norm: 5.7453 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0526 loss: 1.0526 2022/08/04 06:10:58 - mmengine - INFO - Epoch(train) [134][1420/1879] lr: 2.0000e-03 eta: 7:43:53 time: 0.9128 data_time: 0.0265 memory: 11089 grad_norm: 5.7358 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3744 loss: 1.3744 2022/08/04 06:11:16 - mmengine - INFO - Epoch(train) [134][1440/1879] lr: 2.0000e-03 eta: 7:43:35 time: 0.9070 data_time: 0.0288 memory: 11089 grad_norm: 5.9116 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1020 loss: 1.1020 2022/08/04 06:11:34 - mmengine - INFO - Epoch(train) [134][1460/1879] lr: 2.0000e-03 eta: 7:43:16 time: 0.8953 data_time: 0.0310 memory: 11089 grad_norm: 6.1088 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3145 loss: 1.3145 2022/08/04 06:11:53 - mmengine - INFO - Epoch(train) [134][1480/1879] lr: 2.0000e-03 eta: 7:42:58 time: 0.9463 data_time: 0.0381 memory: 11089 grad_norm: 5.9064 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.3579 loss: 1.3579 2022/08/04 06:12:12 - mmengine - INFO - Epoch(train) [134][1500/1879] lr: 2.0000e-03 eta: 7:42:40 time: 0.9435 data_time: 0.0312 memory: 11089 grad_norm: 5.9408 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3825 loss: 1.3825 2022/08/04 06:12:31 - mmengine - INFO - Epoch(train) [134][1520/1879] lr: 2.0000e-03 eta: 7:42:22 time: 0.9378 data_time: 0.0222 memory: 11089 grad_norm: 6.0659 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2472 loss: 1.2472 2022/08/04 06:12:49 - mmengine - INFO - Epoch(train) [134][1540/1879] lr: 2.0000e-03 eta: 7:42:04 time: 0.9066 data_time: 0.0216 memory: 11089 grad_norm: 6.1161 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3304 loss: 1.3304 2022/08/04 06:13:08 - mmengine - INFO - Epoch(train) [134][1560/1879] lr: 2.0000e-03 eta: 7:41:45 time: 0.9422 data_time: 0.0264 memory: 11089 grad_norm: 5.9016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1912 loss: 1.1912 2022/08/04 06:13:26 - mmengine - INFO - Epoch(train) [134][1580/1879] lr: 2.0000e-03 eta: 7:41:27 time: 0.9139 data_time: 0.0260 memory: 11089 grad_norm: 5.8644 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.2394 loss: 1.2394 2022/08/04 06:13:44 - mmengine - INFO - Epoch(train) [134][1600/1879] lr: 2.0000e-03 eta: 7:41:09 time: 0.9174 data_time: 0.0225 memory: 11089 grad_norm: 5.6986 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2485 loss: 1.2485 2022/08/04 06:14:03 - mmengine - INFO - Epoch(train) [134][1620/1879] lr: 2.0000e-03 eta: 7:40:51 time: 0.9564 data_time: 0.0408 memory: 11089 grad_norm: 5.8483 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2121 loss: 1.2121 2022/08/04 06:14:22 - mmengine - INFO - Epoch(train) [134][1640/1879] lr: 2.0000e-03 eta: 7:40:33 time: 0.9101 data_time: 0.0279 memory: 11089 grad_norm: 5.8684 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1250 loss: 1.1250 2022/08/04 06:14:40 - mmengine - INFO - Epoch(train) [134][1660/1879] lr: 2.0000e-03 eta: 7:40:14 time: 0.9282 data_time: 0.0269 memory: 11089 grad_norm: 5.7929 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4303 loss: 1.4303 2022/08/04 06:14:59 - mmengine - INFO - Epoch(train) [134][1680/1879] lr: 2.0000e-03 eta: 7:39:56 time: 0.9159 data_time: 0.0265 memory: 11089 grad_norm: 5.7628 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2913 loss: 1.2913 2022/08/04 06:15:17 - mmengine - INFO - Epoch(train) [134][1700/1879] lr: 2.0000e-03 eta: 7:39:38 time: 0.9242 data_time: 0.0292 memory: 11089 grad_norm: 5.8931 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4458 loss: 1.4458 2022/08/04 06:15:35 - mmengine - INFO - Epoch(train) [134][1720/1879] lr: 2.0000e-03 eta: 7:39:20 time: 0.9123 data_time: 0.0289 memory: 11089 grad_norm: 5.9613 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1705 loss: 1.1705 2022/08/04 06:15:53 - mmengine - INFO - Epoch(train) [134][1740/1879] lr: 2.0000e-03 eta: 7:39:01 time: 0.9135 data_time: 0.0264 memory: 11089 grad_norm: 5.9722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3561 loss: 1.3561 2022/08/04 06:16:12 - mmengine - INFO - Epoch(train) [134][1760/1879] lr: 2.0000e-03 eta: 7:38:43 time: 0.9058 data_time: 0.0263 memory: 11089 grad_norm: 5.7863 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0577 loss: 1.0577 2022/08/04 06:16:30 - mmengine - INFO - Epoch(train) [134][1780/1879] lr: 2.0000e-03 eta: 7:38:25 time: 0.9214 data_time: 0.0284 memory: 11089 grad_norm: 5.7878 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3036 loss: 1.3036 2022/08/04 06:16:48 - mmengine - INFO - Epoch(train) [134][1800/1879] lr: 2.0000e-03 eta: 7:38:07 time: 0.9105 data_time: 0.0317 memory: 11089 grad_norm: 5.9237 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2654 loss: 1.2654 2022/08/04 06:17:07 - mmengine - INFO - Epoch(train) [134][1820/1879] lr: 2.0000e-03 eta: 7:37:49 time: 0.9180 data_time: 0.0251 memory: 11089 grad_norm: 5.5631 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0451 loss: 1.0451 2022/08/04 06:17:25 - mmengine - INFO - Epoch(train) [134][1840/1879] lr: 2.0000e-03 eta: 7:37:30 time: 0.9102 data_time: 0.0283 memory: 11089 grad_norm: 5.6111 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1624 loss: 1.1624 2022/08/04 06:17:43 - mmengine - INFO - Epoch(train) [134][1860/1879] lr: 2.0000e-03 eta: 7:37:12 time: 0.9158 data_time: 0.0220 memory: 11089 grad_norm: 5.8751 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2130 loss: 1.2130 2022/08/04 06:18:00 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 06:18:00 - mmengine - INFO - Epoch(train) [134][1879/1879] lr: 2.0000e-03 eta: 7:37:12 time: 0.9021 data_time: 0.0290 memory: 11089 grad_norm: 5.8138 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.2708 loss: 1.2708 2022/08/04 06:18:21 - mmengine - INFO - Epoch(train) [135][20/1879] lr: 2.0000e-03 eta: 7:36:35 time: 1.0079 data_time: 0.1369 memory: 11089 grad_norm: 5.6287 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1784 loss: 1.1784 2022/08/04 06:18:39 - mmengine - INFO - Epoch(train) [135][40/1879] lr: 2.0000e-03 eta: 7:36:16 time: 0.9298 data_time: 0.0288 memory: 11089 grad_norm: 5.7140 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2118 loss: 1.2118 2022/08/04 06:18:57 - mmengine - INFO - Epoch(train) [135][60/1879] lr: 2.0000e-03 eta: 7:35:58 time: 0.9118 data_time: 0.0272 memory: 11089 grad_norm: 5.6626 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1549 loss: 1.1549 2022/08/04 06:19:16 - mmengine - INFO - Epoch(train) [135][80/1879] lr: 2.0000e-03 eta: 7:35:40 time: 0.9287 data_time: 0.0275 memory: 11089 grad_norm: 5.6779 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1476 loss: 1.1476 2022/08/04 06:19:35 - mmengine - INFO - Epoch(train) [135][100/1879] lr: 2.0000e-03 eta: 7:35:22 time: 0.9237 data_time: 0.0286 memory: 11089 grad_norm: 5.8160 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1789 loss: 1.1789 2022/08/04 06:19:53 - mmengine - INFO - Epoch(train) [135][120/1879] lr: 2.0000e-03 eta: 7:35:04 time: 0.9319 data_time: 0.0301 memory: 11089 grad_norm: 5.6249 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0978 loss: 1.0978 2022/08/04 06:20:12 - mmengine - INFO - Epoch(train) [135][140/1879] lr: 2.0000e-03 eta: 7:34:45 time: 0.9351 data_time: 0.0263 memory: 11089 grad_norm: 5.7908 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.2085 loss: 1.2085 2022/08/04 06:20:30 - mmengine - INFO - Epoch(train) [135][160/1879] lr: 2.0000e-03 eta: 7:34:27 time: 0.9261 data_time: 0.0275 memory: 11089 grad_norm: 5.6870 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1954 loss: 1.1954 2022/08/04 06:20:50 - mmengine - INFO - Epoch(train) [135][180/1879] lr: 2.0000e-03 eta: 7:34:09 time: 0.9556 data_time: 0.0317 memory: 11089 grad_norm: 5.8831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2818 loss: 1.2818 2022/08/04 06:21:08 - mmengine - INFO - Epoch(train) [135][200/1879] lr: 2.0000e-03 eta: 7:33:51 time: 0.9148 data_time: 0.0277 memory: 11089 grad_norm: 5.8609 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2182 loss: 1.2182 2022/08/04 06:21:21 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 06:21:26 - mmengine - INFO - Epoch(train) [135][220/1879] lr: 2.0000e-03 eta: 7:33:33 time: 0.9101 data_time: 0.0246 memory: 11089 grad_norm: 5.9748 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1764 loss: 1.1764 2022/08/04 06:21:45 - mmengine - INFO - Epoch(train) [135][240/1879] lr: 2.0000e-03 eta: 7:33:14 time: 0.9250 data_time: 0.0258 memory: 11089 grad_norm: 5.8179 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0923 loss: 1.0923 2022/08/04 06:22:03 - mmengine - INFO - Epoch(train) [135][260/1879] lr: 2.0000e-03 eta: 7:32:56 time: 0.9045 data_time: 0.0248 memory: 11089 grad_norm: 5.8354 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3153 loss: 1.3153 2022/08/04 06:22:21 - mmengine - INFO - Epoch(train) [135][280/1879] lr: 2.0000e-03 eta: 7:32:38 time: 0.9021 data_time: 0.0241 memory: 11089 grad_norm: 5.9254 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2559 loss: 1.2559 2022/08/04 06:22:39 - mmengine - INFO - Epoch(train) [135][300/1879] lr: 2.0000e-03 eta: 7:32:20 time: 0.9359 data_time: 0.0221 memory: 11089 grad_norm: 5.7628 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1664 loss: 1.1664 2022/08/04 06:22:57 - mmengine - INFO - Epoch(train) [135][320/1879] lr: 2.0000e-03 eta: 7:32:01 time: 0.8950 data_time: 0.0244 memory: 11089 grad_norm: 5.5027 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9735 loss: 0.9735 2022/08/04 06:23:16 - mmengine - INFO - Epoch(train) [135][340/1879] lr: 2.0000e-03 eta: 7:31:43 time: 0.9275 data_time: 0.0304 memory: 11089 grad_norm: 5.5332 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3589 loss: 1.3589 2022/08/04 06:23:34 - mmengine - INFO - Epoch(train) [135][360/1879] lr: 2.0000e-03 eta: 7:31:25 time: 0.9260 data_time: 0.0333 memory: 11089 grad_norm: 5.5671 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3302 loss: 1.3302 2022/08/04 06:23:53 - mmengine - INFO - Epoch(train) [135][380/1879] lr: 2.0000e-03 eta: 7:31:07 time: 0.9445 data_time: 0.0270 memory: 11089 grad_norm: 5.8917 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0965 loss: 1.0965 2022/08/04 06:24:12 - mmengine - INFO - Epoch(train) [135][400/1879] lr: 2.0000e-03 eta: 7:30:49 time: 0.9176 data_time: 0.0247 memory: 11089 grad_norm: 5.6639 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1462 loss: 1.1462 2022/08/04 06:24:30 - mmengine - INFO - Epoch(train) [135][420/1879] lr: 2.0000e-03 eta: 7:30:30 time: 0.9047 data_time: 0.0243 memory: 11089 grad_norm: 5.8361 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2500 loss: 1.2500 2022/08/04 06:24:49 - mmengine - INFO - Epoch(train) [135][440/1879] lr: 2.0000e-03 eta: 7:30:12 time: 0.9603 data_time: 0.0341 memory: 11089 grad_norm: 5.7010 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2802 loss: 1.2802 2022/08/04 06:25:08 - mmengine - INFO - Epoch(train) [135][460/1879] lr: 2.0000e-03 eta: 7:29:54 time: 0.9363 data_time: 0.0288 memory: 11089 grad_norm: 5.6490 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2507 loss: 1.2507 2022/08/04 06:25:26 - mmengine - INFO - Epoch(train) [135][480/1879] lr: 2.0000e-03 eta: 7:29:36 time: 0.9208 data_time: 0.0276 memory: 11089 grad_norm: 5.8751 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4702 loss: 1.4702 2022/08/04 06:25:45 - mmengine - INFO - Epoch(train) [135][500/1879] lr: 2.0000e-03 eta: 7:29:18 time: 0.9242 data_time: 0.0281 memory: 11089 grad_norm: 5.8530 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1899 loss: 1.1899 2022/08/04 06:26:03 - mmengine - INFO - Epoch(train) [135][520/1879] lr: 2.0000e-03 eta: 7:28:59 time: 0.9103 data_time: 0.0247 memory: 11089 grad_norm: 5.7241 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2219 loss: 1.2219 2022/08/04 06:26:21 - mmengine - INFO - Epoch(train) [135][540/1879] lr: 2.0000e-03 eta: 7:28:41 time: 0.9132 data_time: 0.0246 memory: 11089 grad_norm: 5.8984 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1625 loss: 1.1625 2022/08/04 06:26:39 - mmengine - INFO - Epoch(train) [135][560/1879] lr: 2.0000e-03 eta: 7:28:23 time: 0.9180 data_time: 0.0240 memory: 11089 grad_norm: 5.7230 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0837 loss: 1.0837 2022/08/04 06:26:57 - mmengine - INFO - Epoch(train) [135][580/1879] lr: 2.0000e-03 eta: 7:28:05 time: 0.8732 data_time: 0.0203 memory: 11089 grad_norm: 5.6755 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2951 loss: 1.2951 2022/08/04 06:27:15 - mmengine - INFO - Epoch(train) [135][600/1879] lr: 2.0000e-03 eta: 7:27:46 time: 0.9135 data_time: 0.0263 memory: 11089 grad_norm: 5.5707 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1102 loss: 1.1102 2022/08/04 06:27:34 - mmengine - INFO - Epoch(train) [135][620/1879] lr: 2.0000e-03 eta: 7:27:28 time: 0.9247 data_time: 0.0386 memory: 11089 grad_norm: 5.6909 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0911 loss: 1.0911 2022/08/04 06:27:52 - mmengine - INFO - Epoch(train) [135][640/1879] lr: 2.0000e-03 eta: 7:27:10 time: 0.9160 data_time: 0.0289 memory: 11089 grad_norm: 5.5988 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2163 loss: 1.2163 2022/08/04 06:28:11 - mmengine - INFO - Epoch(train) [135][660/1879] lr: 2.0000e-03 eta: 7:26:52 time: 0.9560 data_time: 0.0320 memory: 11089 grad_norm: 5.7344 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2303 loss: 1.2303 2022/08/04 06:28:30 - mmengine - INFO - Epoch(train) [135][680/1879] lr: 2.0000e-03 eta: 7:26:34 time: 0.9666 data_time: 0.0355 memory: 11089 grad_norm: 5.7974 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3081 loss: 1.3081 2022/08/04 06:28:49 - mmengine - INFO - Epoch(train) [135][700/1879] lr: 2.0000e-03 eta: 7:26:16 time: 0.9337 data_time: 0.0336 memory: 11089 grad_norm: 5.7530 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3036 loss: 1.3036 2022/08/04 06:29:08 - mmengine - INFO - Epoch(train) [135][720/1879] lr: 2.0000e-03 eta: 7:25:57 time: 0.9240 data_time: 0.0303 memory: 11089 grad_norm: 5.7421 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0310 loss: 1.0310 2022/08/04 06:29:26 - mmengine - INFO - Epoch(train) [135][740/1879] lr: 2.0000e-03 eta: 7:25:39 time: 0.9207 data_time: 0.0237 memory: 11089 grad_norm: 5.6388 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1576 loss: 1.1576 2022/08/04 06:29:45 - mmengine - INFO - Epoch(train) [135][760/1879] lr: 2.0000e-03 eta: 7:25:21 time: 0.9219 data_time: 0.0267 memory: 11089 grad_norm: 5.7544 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0753 loss: 1.0753 2022/08/04 06:30:03 - mmengine - INFO - Epoch(train) [135][780/1879] lr: 2.0000e-03 eta: 7:25:03 time: 0.9201 data_time: 0.0282 memory: 11089 grad_norm: 5.7839 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0285 loss: 1.0285 2022/08/04 06:30:21 - mmengine - INFO - Epoch(train) [135][800/1879] lr: 2.0000e-03 eta: 7:24:45 time: 0.9219 data_time: 0.0353 memory: 11089 grad_norm: 5.7747 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1345 loss: 1.1345 2022/08/04 06:30:40 - mmengine - INFO - Epoch(train) [135][820/1879] lr: 2.0000e-03 eta: 7:24:26 time: 0.9259 data_time: 0.0271 memory: 11089 grad_norm: 5.8266 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3347 loss: 1.3347 2022/08/04 06:30:59 - mmengine - INFO - Epoch(train) [135][840/1879] lr: 2.0000e-03 eta: 7:24:08 time: 0.9273 data_time: 0.0284 memory: 11089 grad_norm: 5.9342 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2050 loss: 1.2050 2022/08/04 06:31:17 - mmengine - INFO - Epoch(train) [135][860/1879] lr: 2.0000e-03 eta: 7:23:50 time: 0.9393 data_time: 0.0351 memory: 11089 grad_norm: 5.7388 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2432 loss: 1.2432 2022/08/04 06:31:36 - mmengine - INFO - Epoch(train) [135][880/1879] lr: 2.0000e-03 eta: 7:23:32 time: 0.9299 data_time: 0.0342 memory: 11089 grad_norm: 5.9437 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2235 loss: 1.2235 2022/08/04 06:31:54 - mmengine - INFO - Epoch(train) [135][900/1879] lr: 2.0000e-03 eta: 7:23:14 time: 0.9139 data_time: 0.0260 memory: 11089 grad_norm: 5.8900 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3053 loss: 1.3053 2022/08/04 06:32:13 - mmengine - INFO - Epoch(train) [135][920/1879] lr: 2.0000e-03 eta: 7:22:55 time: 0.9316 data_time: 0.0264 memory: 11089 grad_norm: 5.9112 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2889 loss: 1.2889 2022/08/04 06:32:31 - mmengine - INFO - Epoch(train) [135][940/1879] lr: 2.0000e-03 eta: 7:22:37 time: 0.9282 data_time: 0.0264 memory: 11089 grad_norm: 5.7620 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1958 loss: 1.1958 2022/08/04 06:32:50 - mmengine - INFO - Epoch(train) [135][960/1879] lr: 2.0000e-03 eta: 7:22:19 time: 0.9197 data_time: 0.0202 memory: 11089 grad_norm: 5.8463 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2021 loss: 1.2021 2022/08/04 06:33:08 - mmengine - INFO - Epoch(train) [135][980/1879] lr: 2.0000e-03 eta: 7:22:01 time: 0.9135 data_time: 0.0230 memory: 11089 grad_norm: 5.9551 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2368 loss: 1.2368 2022/08/04 06:33:27 - mmengine - INFO - Epoch(train) [135][1000/1879] lr: 2.0000e-03 eta: 7:21:43 time: 0.9451 data_time: 0.0326 memory: 11089 grad_norm: 5.7388 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2785 loss: 1.2785 2022/08/04 06:33:45 - mmengine - INFO - Epoch(train) [135][1020/1879] lr: 2.0000e-03 eta: 7:21:24 time: 0.9162 data_time: 0.0283 memory: 11089 grad_norm: 5.8990 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.3603 loss: 1.3603 2022/08/04 06:34:04 - mmengine - INFO - Epoch(train) [135][1040/1879] lr: 2.0000e-03 eta: 7:21:06 time: 0.9358 data_time: 0.0244 memory: 11089 grad_norm: 5.8327 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3857 loss: 1.3857 2022/08/04 06:34:23 - mmengine - INFO - Epoch(train) [135][1060/1879] lr: 2.0000e-03 eta: 7:20:48 time: 0.9443 data_time: 0.0366 memory: 11089 grad_norm: 5.7080 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2128 loss: 1.2128 2022/08/04 06:34:41 - mmengine - INFO - Epoch(train) [135][1080/1879] lr: 2.0000e-03 eta: 7:20:30 time: 0.9295 data_time: 0.0331 memory: 11089 grad_norm: 6.0568 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2352 loss: 1.2352 2022/08/04 06:35:00 - mmengine - INFO - Epoch(train) [135][1100/1879] lr: 2.0000e-03 eta: 7:20:12 time: 0.9203 data_time: 0.0321 memory: 11089 grad_norm: 5.7277 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2416 loss: 1.2416 2022/08/04 06:35:18 - mmengine - INFO - Epoch(train) [135][1120/1879] lr: 2.0000e-03 eta: 7:19:53 time: 0.9149 data_time: 0.0274 memory: 11089 grad_norm: 5.8301 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0885 loss: 1.0885 2022/08/04 06:35:37 - mmengine - INFO - Epoch(train) [135][1140/1879] lr: 2.0000e-03 eta: 7:19:35 time: 0.9327 data_time: 0.0331 memory: 11089 grad_norm: 5.7042 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0916 loss: 1.0916 2022/08/04 06:35:55 - mmengine - INFO - Epoch(train) [135][1160/1879] lr: 2.0000e-03 eta: 7:19:17 time: 0.9201 data_time: 0.0282 memory: 11089 grad_norm: 5.7673 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2834 loss: 1.2834 2022/08/04 06:36:13 - mmengine - INFO - Epoch(train) [135][1180/1879] lr: 2.0000e-03 eta: 7:18:59 time: 0.8981 data_time: 0.0238 memory: 11089 grad_norm: 5.7006 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2835 loss: 1.2835 2022/08/04 06:36:32 - mmengine - INFO - Epoch(train) [135][1200/1879] lr: 2.0000e-03 eta: 7:18:40 time: 0.9338 data_time: 0.0244 memory: 11089 grad_norm: 5.9200 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2343 loss: 1.2343 2022/08/04 06:36:45 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 06:36:50 - mmengine - INFO - Epoch(train) [135][1220/1879] lr: 2.0000e-03 eta: 7:18:22 time: 0.9281 data_time: 0.0308 memory: 11089 grad_norm: 5.8873 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2149 loss: 1.2149 2022/08/04 06:37:09 - mmengine - INFO - Epoch(train) [135][1240/1879] lr: 2.0000e-03 eta: 7:18:04 time: 0.9035 data_time: 0.0235 memory: 11089 grad_norm: 5.8790 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3197 loss: 1.3197 2022/08/04 06:37:27 - mmengine - INFO - Epoch(train) [135][1260/1879] lr: 2.0000e-03 eta: 7:17:46 time: 0.9141 data_time: 0.0269 memory: 11089 grad_norm: 5.9222 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1339 loss: 1.1339 2022/08/04 06:37:45 - mmengine - INFO - Epoch(train) [135][1280/1879] lr: 2.0000e-03 eta: 7:17:27 time: 0.8906 data_time: 0.0230 memory: 11089 grad_norm: 5.9024 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0709 loss: 1.0709 2022/08/04 06:38:03 - mmengine - INFO - Epoch(train) [135][1300/1879] lr: 2.0000e-03 eta: 7:17:09 time: 0.9192 data_time: 0.0291 memory: 11089 grad_norm: 5.9720 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3769 loss: 1.3769 2022/08/04 06:38:21 - mmengine - INFO - Epoch(train) [135][1320/1879] lr: 2.0000e-03 eta: 7:16:51 time: 0.9210 data_time: 0.0255 memory: 11089 grad_norm: 5.9006 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2341 loss: 1.2341 2022/08/04 06:38:40 - mmengine - INFO - Epoch(train) [135][1340/1879] lr: 2.0000e-03 eta: 7:16:33 time: 0.9075 data_time: 0.0255 memory: 11089 grad_norm: 5.9167 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1332 loss: 1.1332 2022/08/04 06:38:58 - mmengine - INFO - Epoch(train) [135][1360/1879] lr: 2.0000e-03 eta: 7:16:15 time: 0.9038 data_time: 0.0292 memory: 11089 grad_norm: 5.7448 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0192 loss: 1.0192 2022/08/04 06:39:16 - mmengine - INFO - Epoch(train) [135][1380/1879] lr: 2.0000e-03 eta: 7:15:56 time: 0.9172 data_time: 0.0224 memory: 11089 grad_norm: 5.9620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1825 loss: 1.1825 2022/08/04 06:39:35 - mmengine - INFO - Epoch(train) [135][1400/1879] lr: 2.0000e-03 eta: 7:15:38 time: 0.9426 data_time: 0.0342 memory: 11089 grad_norm: 5.7570 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0401 loss: 1.0401 2022/08/04 06:39:54 - mmengine - INFO - Epoch(train) [135][1420/1879] lr: 2.0000e-03 eta: 7:15:20 time: 0.9491 data_time: 0.0299 memory: 11089 grad_norm: 6.0225 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1546 loss: 1.1546 2022/08/04 06:40:12 - mmengine - INFO - Epoch(train) [135][1440/1879] lr: 2.0000e-03 eta: 7:15:02 time: 0.9228 data_time: 0.0318 memory: 11089 grad_norm: 5.8030 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9951 loss: 0.9951 2022/08/04 06:40:31 - mmengine - INFO - Epoch(train) [135][1460/1879] lr: 2.0000e-03 eta: 7:14:44 time: 0.9328 data_time: 0.0317 memory: 11089 grad_norm: 5.9369 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1690 loss: 1.1690 2022/08/04 06:40:50 - mmengine - INFO - Epoch(train) [135][1480/1879] lr: 2.0000e-03 eta: 7:14:25 time: 0.9269 data_time: 0.0313 memory: 11089 grad_norm: 5.9078 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3994 loss: 1.3994 2022/08/04 06:41:08 - mmengine - INFO - Epoch(train) [135][1500/1879] lr: 2.0000e-03 eta: 7:14:07 time: 0.9320 data_time: 0.0259 memory: 11089 grad_norm: 5.6664 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1767 loss: 1.1767 2022/08/04 06:41:26 - mmengine - INFO - Epoch(train) [135][1520/1879] lr: 2.0000e-03 eta: 7:13:49 time: 0.9126 data_time: 0.0220 memory: 11089 grad_norm: 5.7742 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0894 loss: 1.0894 2022/08/04 06:41:45 - mmengine - INFO - Epoch(train) [135][1540/1879] lr: 2.0000e-03 eta: 7:13:31 time: 0.9198 data_time: 0.0235 memory: 11089 grad_norm: 5.8107 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2070 loss: 1.2070 2022/08/04 06:42:03 - mmengine - INFO - Epoch(train) [135][1560/1879] lr: 2.0000e-03 eta: 7:13:12 time: 0.9246 data_time: 0.0248 memory: 11089 grad_norm: 5.6524 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1198 loss: 1.1198 2022/08/04 06:42:22 - mmengine - INFO - Epoch(train) [135][1580/1879] lr: 2.0000e-03 eta: 7:12:54 time: 0.9223 data_time: 0.0258 memory: 11089 grad_norm: 5.9107 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1123 loss: 1.1123 2022/08/04 06:42:40 - mmengine - INFO - Epoch(train) [135][1600/1879] lr: 2.0000e-03 eta: 7:12:36 time: 0.9053 data_time: 0.0264 memory: 11089 grad_norm: 5.8589 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2556 loss: 1.2556 2022/08/04 06:42:58 - mmengine - INFO - Epoch(train) [135][1620/1879] lr: 2.0000e-03 eta: 7:12:18 time: 0.8949 data_time: 0.0230 memory: 11089 grad_norm: 5.9331 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1000 loss: 1.1000 2022/08/04 06:43:16 - mmengine - INFO - Epoch(train) [135][1640/1879] lr: 2.0000e-03 eta: 7:12:00 time: 0.9209 data_time: 0.0258 memory: 11089 grad_norm: 6.0292 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1653 loss: 1.1653 2022/08/04 06:43:35 - mmengine - INFO - Epoch(train) [135][1660/1879] lr: 2.0000e-03 eta: 7:11:41 time: 0.9276 data_time: 0.0290 memory: 11089 grad_norm: 5.8733 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0735 loss: 1.0735 2022/08/04 06:43:53 - mmengine - INFO - Epoch(train) [135][1680/1879] lr: 2.0000e-03 eta: 7:11:23 time: 0.9296 data_time: 0.0312 memory: 11089 grad_norm: 5.8284 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1523 loss: 1.1523 2022/08/04 06:44:12 - mmengine - INFO - Epoch(train) [135][1700/1879] lr: 2.0000e-03 eta: 7:11:05 time: 0.9379 data_time: 0.0359 memory: 11089 grad_norm: 6.6896 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2543 loss: 1.2543 2022/08/04 06:44:31 - mmengine - INFO - Epoch(train) [135][1720/1879] lr: 2.0000e-03 eta: 7:10:47 time: 0.9176 data_time: 0.0273 memory: 11089 grad_norm: 5.8675 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3013 loss: 1.3013 2022/08/04 06:44:49 - mmengine - INFO - Epoch(train) [135][1740/1879] lr: 2.0000e-03 eta: 7:10:28 time: 0.9186 data_time: 0.0224 memory: 11089 grad_norm: 5.9764 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3071 loss: 1.3071 2022/08/04 06:45:07 - mmengine - INFO - Epoch(train) [135][1760/1879] lr: 2.0000e-03 eta: 7:10:10 time: 0.9129 data_time: 0.0272 memory: 11089 grad_norm: 5.6682 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0013 loss: 1.0013 2022/08/04 06:45:26 - mmengine - INFO - Epoch(train) [135][1780/1879] lr: 2.0000e-03 eta: 7:09:52 time: 0.9356 data_time: 0.0350 memory: 11089 grad_norm: 5.8556 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1485 loss: 1.1485 2022/08/04 06:45:44 - mmengine - INFO - Epoch(train) [135][1800/1879] lr: 2.0000e-03 eta: 7:09:34 time: 0.9172 data_time: 0.0232 memory: 11089 grad_norm: 5.8163 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1138 loss: 1.1138 2022/08/04 06:46:03 - mmengine - INFO - Epoch(train) [135][1820/1879] lr: 2.0000e-03 eta: 7:09:16 time: 0.9126 data_time: 0.0276 memory: 11089 grad_norm: 5.9502 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2597 loss: 1.2597 2022/08/04 06:46:22 - mmengine - INFO - Epoch(train) [135][1840/1879] lr: 2.0000e-03 eta: 7:08:57 time: 0.9444 data_time: 0.0295 memory: 11089 grad_norm: 5.9596 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4034 loss: 1.4034 2022/08/04 06:46:40 - mmengine - INFO - Epoch(train) [135][1860/1879] lr: 2.0000e-03 eta: 7:08:39 time: 0.9292 data_time: 0.0361 memory: 11089 grad_norm: 6.0157 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2208 loss: 1.2208 2022/08/04 06:46:57 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 06:46:57 - mmengine - INFO - Epoch(train) [135][1879/1879] lr: 2.0000e-03 eta: 7:08:39 time: 0.9091 data_time: 0.0291 memory: 11089 grad_norm: 6.1668 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.2817 loss: 1.2817 2022/08/04 06:47:07 - mmengine - INFO - Epoch(val) [135][20/155] eta: 0:01:08 time: 0.5059 data_time: 0.1863 memory: 1950 2022/08/04 06:47:14 - mmengine - INFO - Epoch(val) [135][40/155] eta: 0:00:37 time: 0.3264 data_time: 0.0108 memory: 1950 2022/08/04 06:47:21 - mmengine - INFO - Epoch(val) [135][60/155] eta: 0:00:31 time: 0.3297 data_time: 0.0123 memory: 1950 2022/08/04 06:47:27 - mmengine - INFO - Epoch(val) [135][80/155] eta: 0:00:24 time: 0.3252 data_time: 0.0109 memory: 1950 2022/08/04 06:47:34 - mmengine - INFO - Epoch(val) [135][100/155] eta: 0:00:18 time: 0.3342 data_time: 0.0127 memory: 1950 2022/08/04 06:47:41 - mmengine - INFO - Epoch(val) [135][120/155] eta: 0:00:12 time: 0.3457 data_time: 0.0133 memory: 1950 2022/08/04 06:47:49 - mmengine - INFO - Epoch(val) [135][140/155] eta: 0:00:05 time: 0.3979 data_time: 0.0101 memory: 1950 2022/08/04 06:47:56 - mmengine - INFO - Epoch(val) [135][155/155] acc/top1: 0.6870 acc/top5: 0.8811 acc/mean1: 0.6870 2022/08/04 06:48:17 - mmengine - INFO - Epoch(train) [136][20/1879] lr: 2.0000e-03 eta: 7:08:02 time: 1.0227 data_time: 0.1257 memory: 11089 grad_norm: 5.8317 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2360 loss: 1.2360 2022/08/04 06:48:35 - mmengine - INFO - Epoch(train) [136][40/1879] lr: 2.0000e-03 eta: 7:07:44 time: 0.9028 data_time: 0.0220 memory: 11089 grad_norm: 5.8721 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1755 loss: 1.1755 2022/08/04 06:48:53 - mmengine - INFO - Epoch(train) [136][60/1879] lr: 2.0000e-03 eta: 7:07:26 time: 0.9264 data_time: 0.0251 memory: 11089 grad_norm: 5.7773 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1864 loss: 1.1864 2022/08/04 06:49:12 - mmengine - INFO - Epoch(train) [136][80/1879] lr: 2.0000e-03 eta: 7:07:07 time: 0.9386 data_time: 0.0281 memory: 11089 grad_norm: 5.7749 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1230 loss: 1.1230 2022/08/04 06:49:31 - mmengine - INFO - Epoch(train) [136][100/1879] lr: 2.0000e-03 eta: 7:06:49 time: 0.9175 data_time: 0.0261 memory: 11089 grad_norm: 5.9403 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3371 loss: 1.3371 2022/08/04 06:49:49 - mmengine - INFO - Epoch(train) [136][120/1879] lr: 2.0000e-03 eta: 7:06:31 time: 0.9216 data_time: 0.0260 memory: 11089 grad_norm: 5.8585 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0640 loss: 1.0640 2022/08/04 06:50:07 - mmengine - INFO - Epoch(train) [136][140/1879] lr: 2.0000e-03 eta: 7:06:13 time: 0.9132 data_time: 0.0247 memory: 11089 grad_norm: 5.6366 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0196 loss: 1.0196 2022/08/04 06:50:26 - mmengine - INFO - Epoch(train) [136][160/1879] lr: 2.0000e-03 eta: 7:05:54 time: 0.9283 data_time: 0.0308 memory: 11089 grad_norm: 5.8360 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2030 loss: 1.2030 2022/08/04 06:50:44 - mmengine - INFO - Epoch(train) [136][180/1879] lr: 2.0000e-03 eta: 7:05:36 time: 0.9165 data_time: 0.0304 memory: 11089 grad_norm: 5.8665 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2336 loss: 1.2336 2022/08/04 06:51:03 - mmengine - INFO - Epoch(train) [136][200/1879] lr: 2.0000e-03 eta: 7:05:18 time: 0.9312 data_time: 0.0281 memory: 11089 grad_norm: 5.9185 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1206 loss: 1.1206 2022/08/04 06:51:21 - mmengine - INFO - Epoch(train) [136][220/1879] lr: 2.0000e-03 eta: 7:05:00 time: 0.9115 data_time: 0.0238 memory: 11089 grad_norm: 5.7288 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2739 loss: 1.2739 2022/08/04 06:51:39 - mmengine - INFO - Epoch(train) [136][240/1879] lr: 2.0000e-03 eta: 7:04:42 time: 0.9192 data_time: 0.0253 memory: 11089 grad_norm: 5.9749 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2190 loss: 1.2190 2022/08/04 06:51:58 - mmengine - INFO - Epoch(train) [136][260/1879] lr: 2.0000e-03 eta: 7:04:23 time: 0.9224 data_time: 0.0262 memory: 11089 grad_norm: 5.7552 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1376 loss: 1.1376 2022/08/04 06:52:16 - mmengine - INFO - Epoch(train) [136][280/1879] lr: 2.0000e-03 eta: 7:04:05 time: 0.9265 data_time: 0.0303 memory: 11089 grad_norm: 5.7165 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1199 loss: 1.1199 2022/08/04 06:52:35 - mmengine - INFO - Epoch(train) [136][300/1879] lr: 2.0000e-03 eta: 7:03:47 time: 0.9255 data_time: 0.0304 memory: 11089 grad_norm: 5.9265 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2769 loss: 1.2769 2022/08/04 06:52:53 - mmengine - INFO - Epoch(train) [136][320/1879] lr: 2.0000e-03 eta: 7:03:29 time: 0.9240 data_time: 0.0261 memory: 11089 grad_norm: 5.7505 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2774 loss: 1.2774 2022/08/04 06:53:07 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 06:53:12 - mmengine - INFO - Epoch(train) [136][340/1879] lr: 2.0000e-03 eta: 7:03:11 time: 0.9295 data_time: 0.0255 memory: 11089 grad_norm: 5.7826 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2181 loss: 1.2181 2022/08/04 06:53:30 - mmengine - INFO - Epoch(train) [136][360/1879] lr: 2.0000e-03 eta: 7:02:52 time: 0.9029 data_time: 0.0248 memory: 11089 grad_norm: 5.8017 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0599 loss: 1.0599 2022/08/04 06:53:49 - mmengine - INFO - Epoch(train) [136][380/1879] lr: 2.0000e-03 eta: 7:02:34 time: 0.9371 data_time: 0.0239 memory: 11089 grad_norm: 5.7421 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0812 loss: 1.0812 2022/08/04 06:54:07 - mmengine - INFO - Epoch(train) [136][400/1879] lr: 2.0000e-03 eta: 7:02:16 time: 0.9148 data_time: 0.0365 memory: 11089 grad_norm: 5.9054 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0936 loss: 1.0936 2022/08/04 06:54:25 - mmengine - INFO - Epoch(train) [136][420/1879] lr: 2.0000e-03 eta: 7:01:58 time: 0.9075 data_time: 0.0258 memory: 11089 grad_norm: 5.9120 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0846 loss: 1.0846 2022/08/04 06:54:44 - mmengine - INFO - Epoch(train) [136][440/1879] lr: 2.0000e-03 eta: 7:01:39 time: 0.9439 data_time: 0.0313 memory: 11089 grad_norm: 5.6072 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2163 loss: 1.2163 2022/08/04 06:55:03 - mmengine - INFO - Epoch(train) [136][460/1879] lr: 2.0000e-03 eta: 7:01:21 time: 0.9236 data_time: 0.0254 memory: 11089 grad_norm: 5.5838 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1309 loss: 1.1309 2022/08/04 06:55:21 - mmengine - INFO - Epoch(train) [136][480/1879] lr: 2.0000e-03 eta: 7:01:03 time: 0.9279 data_time: 0.0263 memory: 11089 grad_norm: 5.9530 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1090 loss: 1.1090 2022/08/04 06:55:40 - mmengine - INFO - Epoch(train) [136][500/1879] lr: 2.0000e-03 eta: 7:00:45 time: 0.9352 data_time: 0.0316 memory: 11089 grad_norm: 5.9052 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4138 loss: 1.4138 2022/08/04 06:55:59 - mmengine - INFO - Epoch(train) [136][520/1879] lr: 2.0000e-03 eta: 7:00:27 time: 0.9332 data_time: 0.0377 memory: 11089 grad_norm: 5.7357 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3161 loss: 1.3161 2022/08/04 06:56:17 - mmengine - INFO - Epoch(train) [136][540/1879] lr: 2.0000e-03 eta: 7:00:09 time: 0.9438 data_time: 0.0253 memory: 11089 grad_norm: 5.9299 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2727 loss: 1.2727 2022/08/04 06:56:36 - mmengine - INFO - Epoch(train) [136][560/1879] lr: 2.0000e-03 eta: 6:59:50 time: 0.9174 data_time: 0.0259 memory: 11089 grad_norm: 5.6929 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2395 loss: 1.2395 2022/08/04 06:56:54 - mmengine - INFO - Epoch(train) [136][580/1879] lr: 2.0000e-03 eta: 6:59:32 time: 0.9236 data_time: 0.0259 memory: 11089 grad_norm: 5.8061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3592 loss: 1.3592 2022/08/04 06:57:13 - mmengine - INFO - Epoch(train) [136][600/1879] lr: 2.0000e-03 eta: 6:59:14 time: 0.9233 data_time: 0.0226 memory: 11089 grad_norm: 5.7946 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2339 loss: 1.2339 2022/08/04 06:57:31 - mmengine - INFO - Epoch(train) [136][620/1879] lr: 2.0000e-03 eta: 6:58:56 time: 0.9174 data_time: 0.0327 memory: 11089 grad_norm: 5.9189 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2770 loss: 1.2770 2022/08/04 06:57:49 - mmengine - INFO - Epoch(train) [136][640/1879] lr: 2.0000e-03 eta: 6:58:37 time: 0.9154 data_time: 0.0259 memory: 11089 grad_norm: 5.9815 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0535 loss: 1.0535 2022/08/04 06:58:08 - mmengine - INFO - Epoch(train) [136][660/1879] lr: 2.0000e-03 eta: 6:58:19 time: 0.9517 data_time: 0.0314 memory: 11089 grad_norm: 5.7765 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1075 loss: 1.1075 2022/08/04 06:58:27 - mmengine - INFO - Epoch(train) [136][680/1879] lr: 2.0000e-03 eta: 6:58:01 time: 0.9502 data_time: 0.0289 memory: 11089 grad_norm: 5.8775 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2230 loss: 1.2230 2022/08/04 06:58:46 - mmengine - INFO - Epoch(train) [136][700/1879] lr: 2.0000e-03 eta: 6:57:43 time: 0.9182 data_time: 0.0245 memory: 11089 grad_norm: 5.9535 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1242 loss: 1.1242 2022/08/04 06:59:05 - mmengine - INFO - Epoch(train) [136][720/1879] lr: 2.0000e-03 eta: 6:57:25 time: 0.9343 data_time: 0.0285 memory: 11089 grad_norm: 5.8934 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2899 loss: 1.2899 2022/08/04 06:59:23 - mmengine - INFO - Epoch(train) [136][740/1879] lr: 2.0000e-03 eta: 6:57:06 time: 0.9281 data_time: 0.0248 memory: 11089 grad_norm: 5.7233 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0595 loss: 1.0595 2022/08/04 06:59:41 - mmengine - INFO - Epoch(train) [136][760/1879] lr: 2.0000e-03 eta: 6:56:48 time: 0.9123 data_time: 0.0299 memory: 11089 grad_norm: 5.7363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1772 loss: 1.1772 2022/08/04 06:59:59 - mmengine - INFO - Epoch(train) [136][780/1879] lr: 2.0000e-03 eta: 6:56:30 time: 0.9005 data_time: 0.0265 memory: 11089 grad_norm: 5.8826 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2372 loss: 1.2372 2022/08/04 07:00:18 - mmengine - INFO - Epoch(train) [136][800/1879] lr: 2.0000e-03 eta: 6:56:12 time: 0.9191 data_time: 0.0232 memory: 11089 grad_norm: 5.8868 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1351 loss: 1.1351 2022/08/04 07:00:36 - mmengine - INFO - Epoch(train) [136][820/1879] lr: 2.0000e-03 eta: 6:55:54 time: 0.9130 data_time: 0.0235 memory: 11089 grad_norm: 5.9386 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2595 loss: 1.2595 2022/08/04 07:00:54 - mmengine - INFO - Epoch(train) [136][840/1879] lr: 2.0000e-03 eta: 6:55:35 time: 0.9220 data_time: 0.0357 memory: 11089 grad_norm: 5.9788 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0798 loss: 1.0798 2022/08/04 07:01:13 - mmengine - INFO - Epoch(train) [136][860/1879] lr: 2.0000e-03 eta: 6:55:17 time: 0.9170 data_time: 0.0199 memory: 11089 grad_norm: 5.7926 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1645 loss: 1.1645 2022/08/04 07:01:31 - mmengine - INFO - Epoch(train) [136][880/1879] lr: 2.0000e-03 eta: 6:54:59 time: 0.9121 data_time: 0.0224 memory: 11089 grad_norm: 5.8599 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2757 loss: 1.2757 2022/08/04 07:01:49 - mmengine - INFO - Epoch(train) [136][900/1879] lr: 2.0000e-03 eta: 6:54:41 time: 0.8955 data_time: 0.0213 memory: 11089 grad_norm: 5.9271 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2160 loss: 1.2160 2022/08/04 07:02:07 - mmengine - INFO - Epoch(train) [136][920/1879] lr: 2.0000e-03 eta: 6:54:22 time: 0.9118 data_time: 0.0208 memory: 11089 grad_norm: 5.8679 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1843 loss: 1.1843 2022/08/04 07:02:26 - mmengine - INFO - Epoch(train) [136][940/1879] lr: 2.0000e-03 eta: 6:54:04 time: 0.9270 data_time: 0.0291 memory: 11089 grad_norm: 5.7701 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0704 loss: 1.0704 2022/08/04 07:02:44 - mmengine - INFO - Epoch(train) [136][960/1879] lr: 2.0000e-03 eta: 6:53:46 time: 0.9043 data_time: 0.0249 memory: 11089 grad_norm: 5.8147 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1364 loss: 1.1364 2022/08/04 07:03:02 - mmengine - INFO - Epoch(train) [136][980/1879] lr: 2.0000e-03 eta: 6:53:28 time: 0.9049 data_time: 0.0269 memory: 11089 grad_norm: 5.7994 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1079 loss: 1.1079 2022/08/04 07:03:20 - mmengine - INFO - Epoch(train) [136][1000/1879] lr: 2.0000e-03 eta: 6:53:09 time: 0.9034 data_time: 0.0298 memory: 11089 grad_norm: 5.8872 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1114 loss: 1.1114 2022/08/04 07:03:39 - mmengine - INFO - Epoch(train) [136][1020/1879] lr: 2.0000e-03 eta: 6:52:51 time: 0.9241 data_time: 0.0303 memory: 11089 grad_norm: 6.0194 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3381 loss: 1.3381 2022/08/04 07:03:57 - mmengine - INFO - Epoch(train) [136][1040/1879] lr: 2.0000e-03 eta: 6:52:33 time: 0.9423 data_time: 0.0274 memory: 11089 grad_norm: 5.8392 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0536 loss: 1.0536 2022/08/04 07:04:16 - mmengine - INFO - Epoch(train) [136][1060/1879] lr: 2.0000e-03 eta: 6:52:15 time: 0.9172 data_time: 0.0238 memory: 11089 grad_norm: 5.8880 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0927 loss: 1.0927 2022/08/04 07:04:35 - mmengine - INFO - Epoch(train) [136][1080/1879] lr: 2.0000e-03 eta: 6:51:57 time: 0.9434 data_time: 0.0245 memory: 11089 grad_norm: 6.0754 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3342 loss: 1.3342 2022/08/04 07:04:53 - mmengine - INFO - Epoch(train) [136][1100/1879] lr: 2.0000e-03 eta: 6:51:38 time: 0.9278 data_time: 0.0244 memory: 11089 grad_norm: 5.9016 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4635 loss: 1.4635 2022/08/04 07:05:11 - mmengine - INFO - Epoch(train) [136][1120/1879] lr: 2.0000e-03 eta: 6:51:20 time: 0.8937 data_time: 0.0236 memory: 11089 grad_norm: 5.8681 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2873 loss: 1.2873 2022/08/04 07:05:30 - mmengine - INFO - Epoch(train) [136][1140/1879] lr: 2.0000e-03 eta: 6:51:02 time: 0.9514 data_time: 0.0254 memory: 11089 grad_norm: 5.9017 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1556 loss: 1.1556 2022/08/04 07:05:49 - mmengine - INFO - Epoch(train) [136][1160/1879] lr: 2.0000e-03 eta: 6:50:44 time: 0.9413 data_time: 0.0275 memory: 11089 grad_norm: 5.8277 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1728 loss: 1.1728 2022/08/04 07:06:08 - mmengine - INFO - Epoch(train) [136][1180/1879] lr: 2.0000e-03 eta: 6:50:26 time: 0.9352 data_time: 0.0359 memory: 11089 grad_norm: 6.0139 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1889 loss: 1.1889 2022/08/04 07:06:25 - mmengine - INFO - Epoch(train) [136][1200/1879] lr: 2.0000e-03 eta: 6:50:07 time: 0.8893 data_time: 0.0205 memory: 11089 grad_norm: 5.9377 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2451 loss: 1.2451 2022/08/04 07:06:44 - mmengine - INFO - Epoch(train) [136][1220/1879] lr: 2.0000e-03 eta: 6:49:49 time: 0.9371 data_time: 0.0318 memory: 11089 grad_norm: 6.0197 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0379 loss: 1.0379 2022/08/04 07:07:03 - mmengine - INFO - Epoch(train) [136][1240/1879] lr: 2.0000e-03 eta: 6:49:31 time: 0.9168 data_time: 0.0288 memory: 11089 grad_norm: 5.9538 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.2859 loss: 1.2859 2022/08/04 07:07:21 - mmengine - INFO - Epoch(train) [136][1260/1879] lr: 2.0000e-03 eta: 6:49:13 time: 0.9280 data_time: 0.0273 memory: 11089 grad_norm: 6.0018 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3300 loss: 1.3300 2022/08/04 07:07:39 - mmengine - INFO - Epoch(train) [136][1280/1879] lr: 2.0000e-03 eta: 6:48:54 time: 0.9083 data_time: 0.0279 memory: 11089 grad_norm: 5.8530 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3345 loss: 1.3345 2022/08/04 07:07:58 - mmengine - INFO - Epoch(train) [136][1300/1879] lr: 2.0000e-03 eta: 6:48:36 time: 0.9386 data_time: 0.0308 memory: 11089 grad_norm: 5.9877 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1511 loss: 1.1511 2022/08/04 07:08:17 - mmengine - INFO - Epoch(train) [136][1320/1879] lr: 2.0000e-03 eta: 6:48:18 time: 0.9332 data_time: 0.0294 memory: 11089 grad_norm: 5.8710 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0251 loss: 1.0251 2022/08/04 07:08:30 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 07:08:35 - mmengine - INFO - Epoch(train) [136][1340/1879] lr: 2.0000e-03 eta: 6:48:00 time: 0.9312 data_time: 0.0239 memory: 11089 grad_norm: 5.9219 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0325 loss: 1.0325 2022/08/04 07:08:54 - mmengine - INFO - Epoch(train) [136][1360/1879] lr: 2.0000e-03 eta: 6:47:42 time: 0.9259 data_time: 0.0249 memory: 11089 grad_norm: 5.9803 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1803 loss: 1.1803 2022/08/04 07:09:12 - mmengine - INFO - Epoch(train) [136][1380/1879] lr: 2.0000e-03 eta: 6:47:23 time: 0.9150 data_time: 0.0226 memory: 11089 grad_norm: 5.7734 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1126 loss: 1.1126 2022/08/04 07:09:31 - mmengine - INFO - Epoch(train) [136][1400/1879] lr: 2.0000e-03 eta: 6:47:05 time: 0.9169 data_time: 0.0259 memory: 11089 grad_norm: 5.8124 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3490 loss: 1.3490 2022/08/04 07:09:50 - mmengine - INFO - Epoch(train) [136][1420/1879] lr: 2.0000e-03 eta: 6:46:47 time: 0.9563 data_time: 0.0290 memory: 11089 grad_norm: 6.1314 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1807 loss: 1.1807 2022/08/04 07:10:08 - mmengine - INFO - Epoch(train) [136][1440/1879] lr: 2.0000e-03 eta: 6:46:29 time: 0.9130 data_time: 0.0340 memory: 11089 grad_norm: 5.8314 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3703 loss: 1.3703 2022/08/04 07:10:27 - mmengine - INFO - Epoch(train) [136][1460/1879] lr: 2.0000e-03 eta: 6:46:11 time: 0.9498 data_time: 0.0355 memory: 11089 grad_norm: 6.1088 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0941 loss: 1.0941 2022/08/04 07:10:45 - mmengine - INFO - Epoch(train) [136][1480/1879] lr: 2.0000e-03 eta: 6:45:52 time: 0.9120 data_time: 0.0271 memory: 11089 grad_norm: 5.9181 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3080 loss: 1.3080 2022/08/04 07:11:04 - mmengine - INFO - Epoch(train) [136][1500/1879] lr: 2.0000e-03 eta: 6:45:34 time: 0.9194 data_time: 0.0257 memory: 11089 grad_norm: 6.0608 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1384 loss: 1.1384 2022/08/04 07:11:22 - mmengine - INFO - Epoch(train) [136][1520/1879] lr: 2.0000e-03 eta: 6:45:16 time: 0.9187 data_time: 0.0278 memory: 11089 grad_norm: 5.9431 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2531 loss: 1.2531 2022/08/04 07:11:40 - mmengine - INFO - Epoch(train) [136][1540/1879] lr: 2.0000e-03 eta: 6:44:58 time: 0.9060 data_time: 0.0267 memory: 11089 grad_norm: 5.7882 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0015 loss: 1.0015 2022/08/04 07:11:58 - mmengine - INFO - Epoch(train) [136][1560/1879] lr: 2.0000e-03 eta: 6:44:39 time: 0.9097 data_time: 0.0261 memory: 11089 grad_norm: 5.8127 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0556 loss: 1.0556 2022/08/04 07:12:17 - mmengine - INFO - Epoch(train) [136][1580/1879] lr: 2.0000e-03 eta: 6:44:21 time: 0.9220 data_time: 0.0253 memory: 11089 grad_norm: 6.0161 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2511 loss: 1.2511 2022/08/04 07:12:35 - mmengine - INFO - Epoch(train) [136][1600/1879] lr: 2.0000e-03 eta: 6:44:03 time: 0.9028 data_time: 0.0207 memory: 11089 grad_norm: 5.9120 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0889 loss: 1.0889 2022/08/04 07:12:53 - mmengine - INFO - Epoch(train) [136][1620/1879] lr: 2.0000e-03 eta: 6:43:45 time: 0.9315 data_time: 0.0352 memory: 11089 grad_norm: 5.7731 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2277 loss: 1.2277 2022/08/04 07:13:12 - mmengine - INFO - Epoch(train) [136][1640/1879] lr: 2.0000e-03 eta: 6:43:27 time: 0.9115 data_time: 0.0276 memory: 11089 grad_norm: 5.8807 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2920 loss: 1.2920 2022/08/04 07:13:30 - mmengine - INFO - Epoch(train) [136][1660/1879] lr: 2.0000e-03 eta: 6:43:08 time: 0.9344 data_time: 0.0240 memory: 11089 grad_norm: 5.7637 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2606 loss: 1.2606 2022/08/04 07:13:48 - mmengine - INFO - Epoch(train) [136][1680/1879] lr: 2.0000e-03 eta: 6:42:50 time: 0.8776 data_time: 0.0261 memory: 11089 grad_norm: 5.9100 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1278 loss: 1.1278 2022/08/04 07:14:07 - mmengine - INFO - Epoch(train) [136][1700/1879] lr: 2.0000e-03 eta: 6:42:32 time: 0.9306 data_time: 0.0233 memory: 11089 grad_norm: 5.8343 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1163 loss: 1.1163 2022/08/04 07:14:25 - mmengine - INFO - Epoch(train) [136][1720/1879] lr: 2.0000e-03 eta: 6:42:14 time: 0.9259 data_time: 0.0259 memory: 11089 grad_norm: 5.7495 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2044 loss: 1.2044 2022/08/04 07:14:43 - mmengine - INFO - Epoch(train) [136][1740/1879] lr: 2.0000e-03 eta: 6:41:55 time: 0.8859 data_time: 0.0260 memory: 11089 grad_norm: 5.7516 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2791 loss: 1.2791 2022/08/04 07:15:01 - mmengine - INFO - Epoch(train) [136][1760/1879] lr: 2.0000e-03 eta: 6:41:37 time: 0.9059 data_time: 0.0264 memory: 11089 grad_norm: 6.0439 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1768 loss: 1.1768 2022/08/04 07:15:19 - mmengine - INFO - Epoch(train) [136][1780/1879] lr: 2.0000e-03 eta: 6:41:19 time: 0.9184 data_time: 0.0293 memory: 11089 grad_norm: 5.7411 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2435 loss: 1.2435 2022/08/04 07:15:38 - mmengine - INFO - Epoch(train) [136][1800/1879] lr: 2.0000e-03 eta: 6:41:01 time: 0.9365 data_time: 0.0313 memory: 11089 grad_norm: 5.8393 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1459 loss: 1.1459 2022/08/04 07:15:57 - mmengine - INFO - Epoch(train) [136][1820/1879] lr: 2.0000e-03 eta: 6:40:43 time: 0.9304 data_time: 0.0296 memory: 11089 grad_norm: 5.8959 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.2750 loss: 1.2750 2022/08/04 07:16:16 - mmengine - INFO - Epoch(train) [136][1840/1879] lr: 2.0000e-03 eta: 6:40:24 time: 0.9469 data_time: 0.0313 memory: 11089 grad_norm: 5.7563 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1787 loss: 1.1787 2022/08/04 07:16:34 - mmengine - INFO - Epoch(train) [136][1860/1879] lr: 2.0000e-03 eta: 6:40:06 time: 0.9106 data_time: 0.0276 memory: 11089 grad_norm: 5.8106 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9989 loss: 0.9989 2022/08/04 07:16:51 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 07:16:51 - mmengine - INFO - Epoch(train) [136][1879/1879] lr: 2.0000e-03 eta: 6:40:06 time: 0.9069 data_time: 0.0245 memory: 11089 grad_norm: 6.0829 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.1324 loss: 1.1324 2022/08/04 07:16:51 - mmengine - INFO - Saving checkpoint at 136 epochs 2022/08/04 07:17:14 - mmengine - INFO - Epoch(train) [137][20/1879] lr: 2.0000e-03 eta: 6:39:29 time: 1.0218 data_time: 0.1211 memory: 11089 grad_norm: 5.8240 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1485 loss: 1.1485 2022/08/04 07:17:33 - mmengine - INFO - Epoch(train) [137][40/1879] lr: 2.0000e-03 eta: 6:39:11 time: 0.9298 data_time: 0.0336 memory: 11089 grad_norm: 5.8980 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3297 loss: 1.3297 2022/08/04 07:17:52 - mmengine - INFO - Epoch(train) [137][60/1879] lr: 2.0000e-03 eta: 6:38:53 time: 0.9396 data_time: 0.0345 memory: 11089 grad_norm: 5.9338 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1607 loss: 1.1607 2022/08/04 07:18:10 - mmengine - INFO - Epoch(train) [137][80/1879] lr: 2.0000e-03 eta: 6:38:34 time: 0.9061 data_time: 0.0279 memory: 11089 grad_norm: 5.7930 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1665 loss: 1.1665 2022/08/04 07:18:28 - mmengine - INFO - Epoch(train) [137][100/1879] lr: 2.0000e-03 eta: 6:38:16 time: 0.9338 data_time: 0.0278 memory: 11089 grad_norm: 5.9474 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1936 loss: 1.1936 2022/08/04 07:18:46 - mmengine - INFO - Epoch(train) [137][120/1879] lr: 2.0000e-03 eta: 6:37:58 time: 0.8989 data_time: 0.0233 memory: 11089 grad_norm: 5.8384 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0712 loss: 1.0712 2022/08/04 07:19:04 - mmengine - INFO - Epoch(train) [137][140/1879] lr: 2.0000e-03 eta: 6:37:40 time: 0.9005 data_time: 0.0211 memory: 11089 grad_norm: 5.9733 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1093 loss: 1.1093 2022/08/04 07:19:23 - mmengine - INFO - Epoch(train) [137][160/1879] lr: 2.0000e-03 eta: 6:37:21 time: 0.9180 data_time: 0.0287 memory: 11089 grad_norm: 5.8565 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2047 loss: 1.2047 2022/08/04 07:19:41 - mmengine - INFO - Epoch(train) [137][180/1879] lr: 2.0000e-03 eta: 6:37:03 time: 0.9096 data_time: 0.0277 memory: 11089 grad_norm: 6.1263 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2342 loss: 1.2342 2022/08/04 07:20:00 - mmengine - INFO - Epoch(train) [137][200/1879] lr: 2.0000e-03 eta: 6:36:45 time: 0.9256 data_time: 0.0273 memory: 11089 grad_norm: 5.7998 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0410 loss: 1.0410 2022/08/04 07:20:18 - mmengine - INFO - Epoch(train) [137][220/1879] lr: 2.0000e-03 eta: 6:36:27 time: 0.9379 data_time: 0.0341 memory: 11089 grad_norm: 5.8239 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1778 loss: 1.1778 2022/08/04 07:20:36 - mmengine - INFO - Epoch(train) [137][240/1879] lr: 2.0000e-03 eta: 6:36:08 time: 0.8981 data_time: 0.0286 memory: 11089 grad_norm: 5.9038 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2491 loss: 1.2491 2022/08/04 07:20:54 - mmengine - INFO - Epoch(train) [137][260/1879] lr: 2.0000e-03 eta: 6:35:50 time: 0.9138 data_time: 0.0236 memory: 11089 grad_norm: 5.9254 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.2837 loss: 1.2837 2022/08/04 07:21:12 - mmengine - INFO - Epoch(train) [137][280/1879] lr: 2.0000e-03 eta: 6:35:32 time: 0.9011 data_time: 0.0244 memory: 11089 grad_norm: 5.8008 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.1955 loss: 1.1955 2022/08/04 07:21:31 - mmengine - INFO - Epoch(train) [137][300/1879] lr: 2.0000e-03 eta: 6:35:14 time: 0.9113 data_time: 0.0263 memory: 11089 grad_norm: 5.9128 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1424 loss: 1.1424 2022/08/04 07:21:49 - mmengine - INFO - Epoch(train) [137][320/1879] lr: 2.0000e-03 eta: 6:34:56 time: 0.9102 data_time: 0.0262 memory: 11089 grad_norm: 5.8181 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2719 loss: 1.2719 2022/08/04 07:22:07 - mmengine - INFO - Epoch(train) [137][340/1879] lr: 2.0000e-03 eta: 6:34:37 time: 0.9211 data_time: 0.0313 memory: 11089 grad_norm: 5.8347 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2007 loss: 1.2007 2022/08/04 07:22:26 - mmengine - INFO - Epoch(train) [137][360/1879] lr: 2.0000e-03 eta: 6:34:19 time: 0.9258 data_time: 0.0235 memory: 11089 grad_norm: 5.7417 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0980 loss: 1.0980 2022/08/04 07:22:45 - mmengine - INFO - Epoch(train) [137][380/1879] lr: 2.0000e-03 eta: 6:34:01 time: 0.9443 data_time: 0.0380 memory: 11089 grad_norm: 5.8301 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1295 loss: 1.1295 2022/08/04 07:23:03 - mmengine - INFO - Epoch(train) [137][400/1879] lr: 2.0000e-03 eta: 6:33:43 time: 0.9249 data_time: 0.0206 memory: 11089 grad_norm: 5.8277 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1518 loss: 1.1518 2022/08/04 07:23:22 - mmengine - INFO - Epoch(train) [137][420/1879] lr: 2.0000e-03 eta: 6:33:25 time: 0.9269 data_time: 0.0282 memory: 11089 grad_norm: 5.9279 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0661 loss: 1.0661 2022/08/04 07:23:41 - mmengine - INFO - Epoch(train) [137][440/1879] lr: 2.0000e-03 eta: 6:33:06 time: 0.9494 data_time: 0.0322 memory: 11089 grad_norm: 5.7523 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2332 loss: 1.2332 2022/08/04 07:23:55 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 07:23:59 - mmengine - INFO - Epoch(train) [137][460/1879] lr: 2.0000e-03 eta: 6:32:48 time: 0.9049 data_time: 0.0217 memory: 11089 grad_norm: 5.6820 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1771 loss: 1.1771 2022/08/04 07:24:17 - mmengine - INFO - Epoch(train) [137][480/1879] lr: 2.0000e-03 eta: 6:32:30 time: 0.9291 data_time: 0.0250 memory: 11089 grad_norm: 5.6719 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1335 loss: 1.1335 2022/08/04 07:24:36 - mmengine - INFO - Epoch(train) [137][500/1879] lr: 2.0000e-03 eta: 6:32:12 time: 0.9301 data_time: 0.0270 memory: 11089 grad_norm: 5.7970 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0468 loss: 1.0468 2022/08/04 07:24:54 - mmengine - INFO - Epoch(train) [137][520/1879] lr: 2.0000e-03 eta: 6:31:53 time: 0.9076 data_time: 0.0298 memory: 11089 grad_norm: 6.0795 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1996 loss: 1.1996 2022/08/04 07:25:13 - mmengine - INFO - Epoch(train) [137][540/1879] lr: 2.0000e-03 eta: 6:31:35 time: 0.9207 data_time: 0.0288 memory: 11089 grad_norm: 5.8812 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2373 loss: 1.2373 2022/08/04 07:25:31 - mmengine - INFO - Epoch(train) [137][560/1879] lr: 2.0000e-03 eta: 6:31:17 time: 0.9323 data_time: 0.0291 memory: 11089 grad_norm: 6.0146 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1028 loss: 1.1028 2022/08/04 07:25:50 - mmengine - INFO - Epoch(train) [137][580/1879] lr: 2.0000e-03 eta: 6:30:59 time: 0.9363 data_time: 0.0365 memory: 11089 grad_norm: 5.9162 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1251 loss: 1.1251 2022/08/04 07:26:09 - mmengine - INFO - Epoch(train) [137][600/1879] lr: 2.0000e-03 eta: 6:30:41 time: 0.9357 data_time: 0.0342 memory: 11089 grad_norm: 6.1123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2951 loss: 1.2951 2022/08/04 07:26:27 - mmengine - INFO - Epoch(train) [137][620/1879] lr: 2.0000e-03 eta: 6:30:22 time: 0.9048 data_time: 0.0245 memory: 11089 grad_norm: 5.8700 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1857 loss: 1.1857 2022/08/04 07:26:45 - mmengine - INFO - Epoch(train) [137][640/1879] lr: 2.0000e-03 eta: 6:30:04 time: 0.9090 data_time: 0.0315 memory: 11089 grad_norm: 5.8685 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2664 loss: 1.2664 2022/08/04 07:27:03 - mmengine - INFO - Epoch(train) [137][660/1879] lr: 2.0000e-03 eta: 6:29:46 time: 0.9165 data_time: 0.0263 memory: 11089 grad_norm: 6.0062 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1289 loss: 1.1289 2022/08/04 07:27:22 - mmengine - INFO - Epoch(train) [137][680/1879] lr: 2.0000e-03 eta: 6:29:28 time: 0.9264 data_time: 0.0283 memory: 11089 grad_norm: 5.9003 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2807 loss: 1.2807 2022/08/04 07:27:41 - mmengine - INFO - Epoch(train) [137][700/1879] lr: 2.0000e-03 eta: 6:29:10 time: 0.9283 data_time: 0.0268 memory: 11089 grad_norm: 5.7401 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1304 loss: 1.1304 2022/08/04 07:27:59 - mmengine - INFO - Epoch(train) [137][720/1879] lr: 2.0000e-03 eta: 6:28:51 time: 0.9241 data_time: 0.0268 memory: 11089 grad_norm: 5.7553 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2490 loss: 1.2490 2022/08/04 07:28:17 - mmengine - INFO - Epoch(train) [137][740/1879] lr: 2.0000e-03 eta: 6:28:33 time: 0.9079 data_time: 0.0246 memory: 11089 grad_norm: 5.8891 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4734 loss: 1.4734 2022/08/04 07:28:35 - mmengine - INFO - Epoch(train) [137][760/1879] lr: 2.0000e-03 eta: 6:28:15 time: 0.9135 data_time: 0.0245 memory: 11089 grad_norm: 5.7758 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2195 loss: 1.2195 2022/08/04 07:28:54 - mmengine - INFO - Epoch(train) [137][780/1879] lr: 2.0000e-03 eta: 6:27:57 time: 0.9229 data_time: 0.0267 memory: 11089 grad_norm: 5.9241 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1506 loss: 1.1506 2022/08/04 07:29:12 - mmengine - INFO - Epoch(train) [137][800/1879] lr: 2.0000e-03 eta: 6:27:38 time: 0.9097 data_time: 0.0261 memory: 11089 grad_norm: 5.9427 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2918 loss: 1.2918 2022/08/04 07:29:31 - mmengine - INFO - Epoch(train) [137][820/1879] lr: 2.0000e-03 eta: 6:27:20 time: 0.9218 data_time: 0.0279 memory: 11089 grad_norm: 5.7801 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1170 loss: 1.1170 2022/08/04 07:29:49 - mmengine - INFO - Epoch(train) [137][840/1879] lr: 2.0000e-03 eta: 6:27:02 time: 0.9401 data_time: 0.0343 memory: 11089 grad_norm: 5.9901 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0357 loss: 1.0357 2022/08/04 07:30:08 - mmengine - INFO - Epoch(train) [137][860/1879] lr: 2.0000e-03 eta: 6:26:44 time: 0.9356 data_time: 0.0313 memory: 11089 grad_norm: 5.7516 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1944 loss: 1.1944 2022/08/04 07:30:27 - mmengine - INFO - Epoch(train) [137][880/1879] lr: 2.0000e-03 eta: 6:26:26 time: 0.9381 data_time: 0.0357 memory: 11089 grad_norm: 6.0194 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2536 loss: 1.2536 2022/08/04 07:30:45 - mmengine - INFO - Epoch(train) [137][900/1879] lr: 2.0000e-03 eta: 6:26:07 time: 0.9068 data_time: 0.0230 memory: 11089 grad_norm: 5.7687 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9892 loss: 0.9892 2022/08/04 07:31:04 - mmengine - INFO - Epoch(train) [137][920/1879] lr: 2.0000e-03 eta: 6:25:49 time: 0.9357 data_time: 0.0360 memory: 11089 grad_norm: 5.9835 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2825 loss: 1.2825 2022/08/04 07:31:23 - mmengine - INFO - Epoch(train) [137][940/1879] lr: 2.0000e-03 eta: 6:25:31 time: 0.9435 data_time: 0.0225 memory: 11089 grad_norm: 5.9009 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2436 loss: 1.2436 2022/08/04 07:31:41 - mmengine - INFO - Epoch(train) [137][960/1879] lr: 2.0000e-03 eta: 6:25:13 time: 0.9279 data_time: 0.0282 memory: 11089 grad_norm: 5.8625 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1059 loss: 1.1059 2022/08/04 07:32:00 - mmengine - INFO - Epoch(train) [137][980/1879] lr: 2.0000e-03 eta: 6:24:55 time: 0.9380 data_time: 0.0253 memory: 11089 grad_norm: 5.9928 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1391 loss: 1.1391 2022/08/04 07:32:19 - mmengine - INFO - Epoch(train) [137][1000/1879] lr: 2.0000e-03 eta: 6:24:36 time: 0.9490 data_time: 0.0321 memory: 11089 grad_norm: 5.7968 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0667 loss: 1.0667 2022/08/04 07:32:37 - mmengine - INFO - Epoch(train) [137][1020/1879] lr: 2.0000e-03 eta: 6:24:18 time: 0.9211 data_time: 0.0305 memory: 11089 grad_norm: 5.7530 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1151 loss: 1.1151 2022/08/04 07:32:56 - mmengine - INFO - Epoch(train) [137][1040/1879] lr: 2.0000e-03 eta: 6:24:00 time: 0.9314 data_time: 0.0307 memory: 11089 grad_norm: 5.9603 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3077 loss: 1.3077 2022/08/04 07:33:15 - mmengine - INFO - Epoch(train) [137][1060/1879] lr: 2.0000e-03 eta: 6:23:42 time: 0.9361 data_time: 0.0271 memory: 11089 grad_norm: 5.8281 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1376 loss: 1.1376 2022/08/04 07:33:33 - mmengine - INFO - Epoch(train) [137][1080/1879] lr: 2.0000e-03 eta: 6:23:24 time: 0.9080 data_time: 0.0313 memory: 11089 grad_norm: 5.9115 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3591 loss: 1.3591 2022/08/04 07:33:51 - mmengine - INFO - Epoch(train) [137][1100/1879] lr: 2.0000e-03 eta: 6:23:05 time: 0.9204 data_time: 0.0347 memory: 11089 grad_norm: 5.9680 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3046 loss: 1.3046 2022/08/04 07:34:10 - mmengine - INFO - Epoch(train) [137][1120/1879] lr: 2.0000e-03 eta: 6:22:47 time: 0.9304 data_time: 0.0294 memory: 11089 grad_norm: 6.0117 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2188 loss: 1.2188 2022/08/04 07:34:28 - mmengine - INFO - Epoch(train) [137][1140/1879] lr: 2.0000e-03 eta: 6:22:29 time: 0.9230 data_time: 0.0298 memory: 11089 grad_norm: 6.1382 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3164 loss: 1.3164 2022/08/04 07:34:47 - mmengine - INFO - Epoch(train) [137][1160/1879] lr: 2.0000e-03 eta: 6:22:11 time: 0.9364 data_time: 0.0270 memory: 11089 grad_norm: 5.9002 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0371 loss: 1.0371 2022/08/04 07:35:05 - mmengine - INFO - Epoch(train) [137][1180/1879] lr: 2.0000e-03 eta: 6:21:52 time: 0.8873 data_time: 0.0230 memory: 11089 grad_norm: 5.9380 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1301 loss: 1.1301 2022/08/04 07:35:23 - mmengine - INFO - Epoch(train) [137][1200/1879] lr: 2.0000e-03 eta: 6:21:34 time: 0.9024 data_time: 0.0292 memory: 11089 grad_norm: 5.9420 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0852 loss: 1.0852 2022/08/04 07:35:42 - mmengine - INFO - Epoch(train) [137][1220/1879] lr: 2.0000e-03 eta: 6:21:16 time: 0.9440 data_time: 0.0277 memory: 11089 grad_norm: 6.1251 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2581 loss: 1.2581 2022/08/04 07:36:00 - mmengine - INFO - Epoch(train) [137][1240/1879] lr: 2.0000e-03 eta: 6:20:58 time: 0.9331 data_time: 0.0341 memory: 11089 grad_norm: 6.0461 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2985 loss: 1.2985 2022/08/04 07:36:19 - mmengine - INFO - Epoch(train) [137][1260/1879] lr: 2.0000e-03 eta: 6:20:40 time: 0.9446 data_time: 0.0337 memory: 11089 grad_norm: 5.9681 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1345 loss: 1.1345 2022/08/04 07:36:38 - mmengine - INFO - Epoch(train) [137][1280/1879] lr: 2.0000e-03 eta: 6:20:21 time: 0.9241 data_time: 0.0226 memory: 11089 grad_norm: 5.9459 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0888 loss: 1.0888 2022/08/04 07:36:57 - mmengine - INFO - Epoch(train) [137][1300/1879] lr: 2.0000e-03 eta: 6:20:03 time: 0.9408 data_time: 0.0308 memory: 11089 grad_norm: 6.0623 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2218 loss: 1.2218 2022/08/04 07:37:15 - mmengine - INFO - Epoch(train) [137][1320/1879] lr: 2.0000e-03 eta: 6:19:45 time: 0.9174 data_time: 0.0236 memory: 11089 grad_norm: 6.1799 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1820 loss: 1.1820 2022/08/04 07:37:33 - mmengine - INFO - Epoch(train) [137][1340/1879] lr: 2.0000e-03 eta: 6:19:27 time: 0.9170 data_time: 0.0237 memory: 11089 grad_norm: 6.1586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2386 loss: 1.2386 2022/08/04 07:37:52 - mmengine - INFO - Epoch(train) [137][1360/1879] lr: 2.0000e-03 eta: 6:19:09 time: 0.9062 data_time: 0.0293 memory: 11089 grad_norm: 5.9219 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3430 loss: 1.3430 2022/08/04 07:38:10 - mmengine - INFO - Epoch(train) [137][1380/1879] lr: 2.0000e-03 eta: 6:18:50 time: 0.9124 data_time: 0.0265 memory: 11089 grad_norm: 5.9653 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2597 loss: 1.2597 2022/08/04 07:38:28 - mmengine - INFO - Epoch(train) [137][1400/1879] lr: 2.0000e-03 eta: 6:18:32 time: 0.9272 data_time: 0.0282 memory: 11089 grad_norm: 5.9234 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0654 loss: 1.0654 2022/08/04 07:38:47 - mmengine - INFO - Epoch(train) [137][1420/1879] lr: 2.0000e-03 eta: 6:18:14 time: 0.9250 data_time: 0.0386 memory: 11089 grad_norm: 5.8334 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1618 loss: 1.1618 2022/08/04 07:39:05 - mmengine - INFO - Epoch(train) [137][1440/1879] lr: 2.0000e-03 eta: 6:17:56 time: 0.9262 data_time: 0.0298 memory: 11089 grad_norm: 5.9696 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1447 loss: 1.1447 2022/08/04 07:39:20 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 07:39:24 - mmengine - INFO - Epoch(train) [137][1460/1879] lr: 2.0000e-03 eta: 6:17:37 time: 0.9153 data_time: 0.0297 memory: 11089 grad_norm: 5.8702 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2208 loss: 1.2208 2022/08/04 07:39:42 - mmengine - INFO - Epoch(train) [137][1480/1879] lr: 2.0000e-03 eta: 6:17:19 time: 0.9243 data_time: 0.0272 memory: 11089 grad_norm: 5.9513 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.1454 loss: 1.1454 2022/08/04 07:40:01 - mmengine - INFO - Epoch(train) [137][1500/1879] lr: 2.0000e-03 eta: 6:17:01 time: 0.9185 data_time: 0.0242 memory: 11089 grad_norm: 6.1740 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2763 loss: 1.2763 2022/08/04 07:40:19 - mmengine - INFO - Epoch(train) [137][1520/1879] lr: 2.0000e-03 eta: 6:16:43 time: 0.9174 data_time: 0.0230 memory: 11089 grad_norm: 5.8752 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3144 loss: 1.3144 2022/08/04 07:40:37 - mmengine - INFO - Epoch(train) [137][1540/1879] lr: 2.0000e-03 eta: 6:16:25 time: 0.9253 data_time: 0.0298 memory: 11089 grad_norm: 6.0841 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2578 loss: 1.2578 2022/08/04 07:40:56 - mmengine - INFO - Epoch(train) [137][1560/1879] lr: 2.0000e-03 eta: 6:16:06 time: 0.9182 data_time: 0.0239 memory: 11089 grad_norm: 6.0488 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2769 loss: 1.2769 2022/08/04 07:41:14 - mmengine - INFO - Epoch(train) [137][1580/1879] lr: 2.0000e-03 eta: 6:15:48 time: 0.9128 data_time: 0.0276 memory: 11089 grad_norm: 6.2448 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4130 loss: 1.4130 2022/08/04 07:41:32 - mmengine - INFO - Epoch(train) [137][1600/1879] lr: 2.0000e-03 eta: 6:15:30 time: 0.9191 data_time: 0.0250 memory: 11089 grad_norm: 6.2609 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2776 loss: 1.2776 2022/08/04 07:41:50 - mmengine - INFO - Epoch(train) [137][1620/1879] lr: 2.0000e-03 eta: 6:15:12 time: 0.9005 data_time: 0.0258 memory: 11089 grad_norm: 6.0124 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.1183 loss: 1.1183 2022/08/04 07:42:09 - mmengine - INFO - Epoch(train) [137][1640/1879] lr: 2.0000e-03 eta: 6:14:53 time: 0.9025 data_time: 0.0212 memory: 11089 grad_norm: 6.1096 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2657 loss: 1.2657 2022/08/04 07:42:27 - mmengine - INFO - Epoch(train) [137][1660/1879] lr: 2.0000e-03 eta: 6:14:35 time: 0.9114 data_time: 0.0287 memory: 11089 grad_norm: 6.2028 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3116 loss: 1.3116 2022/08/04 07:42:45 - mmengine - INFO - Epoch(train) [137][1680/1879] lr: 2.0000e-03 eta: 6:14:17 time: 0.9191 data_time: 0.0272 memory: 11089 grad_norm: 5.9984 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2379 loss: 1.2379 2022/08/04 07:43:03 - mmengine - INFO - Epoch(train) [137][1700/1879] lr: 2.0000e-03 eta: 6:13:59 time: 0.9146 data_time: 0.0275 memory: 11089 grad_norm: 5.9557 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1254 loss: 1.1254 2022/08/04 07:43:22 - mmengine - INFO - Epoch(train) [137][1720/1879] lr: 2.0000e-03 eta: 6:13:40 time: 0.9143 data_time: 0.0267 memory: 11089 grad_norm: 5.9917 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3959 loss: 1.3959 2022/08/04 07:43:40 - mmengine - INFO - Epoch(train) [137][1740/1879] lr: 2.0000e-03 eta: 6:13:22 time: 0.9230 data_time: 0.0255 memory: 11089 grad_norm: 5.8249 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0279 loss: 1.0279 2022/08/04 07:43:59 - mmengine - INFO - Epoch(train) [137][1760/1879] lr: 2.0000e-03 eta: 6:13:04 time: 0.9336 data_time: 0.0295 memory: 11089 grad_norm: 5.9064 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9992 loss: 0.9992 2022/08/04 07:44:18 - mmengine - INFO - Epoch(train) [137][1780/1879] lr: 2.0000e-03 eta: 6:12:46 time: 0.9376 data_time: 0.0234 memory: 11089 grad_norm: 5.8285 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3193 loss: 1.3193 2022/08/04 07:44:36 - mmengine - INFO - Epoch(train) [137][1800/1879] lr: 2.0000e-03 eta: 6:12:28 time: 0.9408 data_time: 0.0329 memory: 11089 grad_norm: 5.9154 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2497 loss: 1.2497 2022/08/04 07:44:55 - mmengine - INFO - Epoch(train) [137][1820/1879] lr: 2.0000e-03 eta: 6:12:09 time: 0.9032 data_time: 0.0277 memory: 11089 grad_norm: 6.0194 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3741 loss: 1.3741 2022/08/04 07:45:13 - mmengine - INFO - Epoch(train) [137][1840/1879] lr: 2.0000e-03 eta: 6:11:51 time: 0.9287 data_time: 0.0374 memory: 11089 grad_norm: 5.9914 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.2047 loss: 1.2047 2022/08/04 07:45:31 - mmengine - INFO - Epoch(train) [137][1860/1879] lr: 2.0000e-03 eta: 6:11:33 time: 0.9131 data_time: 0.0316 memory: 11089 grad_norm: 5.8767 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2540 loss: 1.2540 2022/08/04 07:45:48 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 07:45:48 - mmengine - INFO - Epoch(train) [137][1879/1879] lr: 2.0000e-03 eta: 6:11:33 time: 0.8867 data_time: 0.0267 memory: 11089 grad_norm: 6.0969 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.1220 loss: 1.1220 2022/08/04 07:46:10 - mmengine - INFO - Epoch(train) [138][20/1879] lr: 2.0000e-03 eta: 6:10:56 time: 1.0688 data_time: 0.1568 memory: 11089 grad_norm: 5.8823 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.3027 loss: 1.3027 2022/08/04 07:46:28 - mmengine - INFO - Epoch(train) [138][40/1879] lr: 2.0000e-03 eta: 6:10:38 time: 0.9170 data_time: 0.0254 memory: 11089 grad_norm: 5.6883 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0761 loss: 1.0761 2022/08/04 07:46:46 - mmengine - INFO - Epoch(train) [138][60/1879] lr: 2.0000e-03 eta: 6:10:20 time: 0.9017 data_time: 0.0256 memory: 11089 grad_norm: 5.9923 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2922 loss: 1.2922 2022/08/04 07:47:04 - mmengine - INFO - Epoch(train) [138][80/1879] lr: 2.0000e-03 eta: 6:10:01 time: 0.9041 data_time: 0.0251 memory: 11089 grad_norm: 5.9293 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1934 loss: 1.1934 2022/08/04 07:47:24 - mmengine - INFO - Epoch(train) [138][100/1879] lr: 2.0000e-03 eta: 6:09:43 time: 0.9917 data_time: 0.0282 memory: 11089 grad_norm: 6.0360 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2813 loss: 1.2813 2022/08/04 07:47:42 - mmengine - INFO - Epoch(train) [138][120/1879] lr: 2.0000e-03 eta: 6:09:25 time: 0.9092 data_time: 0.0251 memory: 11089 grad_norm: 5.7901 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2822 loss: 1.2822 2022/08/04 07:48:01 - mmengine - INFO - Epoch(train) [138][140/1879] lr: 2.0000e-03 eta: 6:09:07 time: 0.9267 data_time: 0.0323 memory: 11089 grad_norm: 5.9702 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2890 loss: 1.2890 2022/08/04 07:48:19 - mmengine - INFO - Epoch(train) [138][160/1879] lr: 2.0000e-03 eta: 6:08:48 time: 0.9069 data_time: 0.0251 memory: 11089 grad_norm: 6.0403 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3461 loss: 1.3461 2022/08/04 07:48:37 - mmengine - INFO - Epoch(train) [138][180/1879] lr: 2.0000e-03 eta: 6:08:30 time: 0.9035 data_time: 0.0210 memory: 11089 grad_norm: 6.0823 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1852 loss: 1.1852 2022/08/04 07:48:55 - mmengine - INFO - Epoch(train) [138][200/1879] lr: 2.0000e-03 eta: 6:08:12 time: 0.9093 data_time: 0.0215 memory: 11089 grad_norm: 6.0704 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3517 loss: 1.3517 2022/08/04 07:49:14 - mmengine - INFO - Epoch(train) [138][220/1879] lr: 2.0000e-03 eta: 6:07:54 time: 0.9331 data_time: 0.0276 memory: 11089 grad_norm: 5.8830 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1917 loss: 1.1917 2022/08/04 07:49:32 - mmengine - INFO - Epoch(train) [138][240/1879] lr: 2.0000e-03 eta: 6:07:36 time: 0.9119 data_time: 0.0217 memory: 11089 grad_norm: 5.7979 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3689 loss: 1.3689 2022/08/04 07:49:51 - mmengine - INFO - Epoch(train) [138][260/1879] lr: 2.0000e-03 eta: 6:07:17 time: 0.9230 data_time: 0.0259 memory: 11089 grad_norm: 6.0730 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0558 loss: 1.0558 2022/08/04 07:50:10 - mmengine - INFO - Epoch(train) [138][280/1879] lr: 2.0000e-03 eta: 6:06:59 time: 0.9506 data_time: 0.0243 memory: 11089 grad_norm: 5.7568 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2469 loss: 1.2469 2022/08/04 07:50:28 - mmengine - INFO - Epoch(train) [138][300/1879] lr: 2.0000e-03 eta: 6:06:41 time: 0.9107 data_time: 0.0247 memory: 11089 grad_norm: 5.9705 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2350 loss: 1.2350 2022/08/04 07:50:46 - mmengine - INFO - Epoch(train) [138][320/1879] lr: 2.0000e-03 eta: 6:06:23 time: 0.9190 data_time: 0.0305 memory: 11089 grad_norm: 6.0810 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1341 loss: 1.1341 2022/08/04 07:51:05 - mmengine - INFO - Epoch(train) [138][340/1879] lr: 2.0000e-03 eta: 6:06:04 time: 0.9207 data_time: 0.0231 memory: 11089 grad_norm: 5.8792 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1097 loss: 1.1097 2022/08/04 07:51:23 - mmengine - INFO - Epoch(train) [138][360/1879] lr: 2.0000e-03 eta: 6:05:46 time: 0.9371 data_time: 0.0205 memory: 11089 grad_norm: 5.9747 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2850 loss: 1.2850 2022/08/04 07:51:42 - mmengine - INFO - Epoch(train) [138][380/1879] lr: 2.0000e-03 eta: 6:05:28 time: 0.9294 data_time: 0.0280 memory: 11089 grad_norm: 6.0941 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2027 loss: 1.2027 2022/08/04 07:52:00 - mmengine - INFO - Epoch(train) [138][400/1879] lr: 2.0000e-03 eta: 6:05:10 time: 0.9095 data_time: 0.0204 memory: 11089 grad_norm: 5.9534 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1158 loss: 1.1158 2022/08/04 07:52:19 - mmengine - INFO - Epoch(train) [138][420/1879] lr: 2.0000e-03 eta: 6:04:52 time: 0.9300 data_time: 0.0254 memory: 11089 grad_norm: 6.0468 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2526 loss: 1.2526 2022/08/04 07:52:37 - mmengine - INFO - Epoch(train) [138][440/1879] lr: 2.0000e-03 eta: 6:04:33 time: 0.9338 data_time: 0.0320 memory: 11089 grad_norm: 5.8956 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2359 loss: 1.2359 2022/08/04 07:52:56 - mmengine - INFO - Epoch(train) [138][460/1879] lr: 2.0000e-03 eta: 6:04:15 time: 0.9250 data_time: 0.0255 memory: 11089 grad_norm: 5.9181 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1901 loss: 1.1901 2022/08/04 07:53:15 - mmengine - INFO - Epoch(train) [138][480/1879] lr: 2.0000e-03 eta: 6:03:57 time: 0.9362 data_time: 0.0339 memory: 11089 grad_norm: 6.0592 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3200 loss: 1.3200 2022/08/04 07:53:33 - mmengine - INFO - Epoch(train) [138][500/1879] lr: 2.0000e-03 eta: 6:03:39 time: 0.9174 data_time: 0.0193 memory: 11089 grad_norm: 6.0275 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2874 loss: 1.2874 2022/08/04 07:53:51 - mmengine - INFO - Epoch(train) [138][520/1879] lr: 2.0000e-03 eta: 6:03:21 time: 0.9060 data_time: 0.0238 memory: 11089 grad_norm: 6.0273 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2548 loss: 1.2548 2022/08/04 07:54:10 - mmengine - INFO - Epoch(train) [138][540/1879] lr: 2.0000e-03 eta: 6:03:02 time: 0.9207 data_time: 0.0263 memory: 11089 grad_norm: 5.9018 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0393 loss: 1.0393 2022/08/04 07:54:28 - mmengine - INFO - Epoch(train) [138][560/1879] lr: 2.0000e-03 eta: 6:02:44 time: 0.9361 data_time: 0.0230 memory: 11089 grad_norm: 5.9499 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0520 loss: 1.0520 2022/08/04 07:54:44 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 07:54:47 - mmengine - INFO - Epoch(train) [138][580/1879] lr: 2.0000e-03 eta: 6:02:26 time: 0.9169 data_time: 0.0233 memory: 11089 grad_norm: 6.0434 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2327 loss: 1.2327 2022/08/04 07:55:05 - mmengine - INFO - Epoch(train) [138][600/1879] lr: 2.0000e-03 eta: 6:02:08 time: 0.9270 data_time: 0.0273 memory: 11089 grad_norm: 6.0041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2153 loss: 1.2153 2022/08/04 07:55:23 - mmengine - INFO - Epoch(train) [138][620/1879] lr: 2.0000e-03 eta: 6:01:49 time: 0.9030 data_time: 0.0306 memory: 11089 grad_norm: 6.0990 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3818 loss: 1.3818 2022/08/04 07:55:42 - mmengine - INFO - Epoch(train) [138][640/1879] lr: 2.0000e-03 eta: 6:01:31 time: 0.9285 data_time: 0.0278 memory: 11089 grad_norm: 5.7790 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2378 loss: 1.2378 2022/08/04 07:56:00 - mmengine - INFO - Epoch(train) [138][660/1879] lr: 2.0000e-03 eta: 6:01:13 time: 0.9231 data_time: 0.0345 memory: 11089 grad_norm: 5.8827 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0938 loss: 1.0938 2022/08/04 07:56:20 - mmengine - INFO - Epoch(train) [138][680/1879] lr: 2.0000e-03 eta: 6:00:55 time: 0.9600 data_time: 0.0329 memory: 11089 grad_norm: 6.0489 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2827 loss: 1.2827 2022/08/04 07:56:38 - mmengine - INFO - Epoch(train) [138][700/1879] lr: 2.0000e-03 eta: 6:00:37 time: 0.9333 data_time: 0.0330 memory: 11089 grad_norm: 5.9769 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3351 loss: 1.3351 2022/08/04 07:56:57 - mmengine - INFO - Epoch(train) [138][720/1879] lr: 2.0000e-03 eta: 6:00:18 time: 0.9228 data_time: 0.0271 memory: 11089 grad_norm: 5.8115 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.1267 loss: 1.1267 2022/08/04 07:57:15 - mmengine - INFO - Epoch(train) [138][740/1879] lr: 2.0000e-03 eta: 6:00:00 time: 0.9182 data_time: 0.0343 memory: 11089 grad_norm: 5.9027 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2552 loss: 1.2552 2022/08/04 07:57:33 - mmengine - INFO - Epoch(train) [138][760/1879] lr: 2.0000e-03 eta: 5:59:42 time: 0.9146 data_time: 0.0239 memory: 11089 grad_norm: 5.9835 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0320 loss: 1.0320 2022/08/04 07:57:52 - mmengine - INFO - Epoch(train) [138][780/1879] lr: 2.0000e-03 eta: 5:59:24 time: 0.9167 data_time: 0.0276 memory: 11089 grad_norm: 5.7541 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2106 loss: 1.2106 2022/08/04 07:58:10 - mmengine - INFO - Epoch(train) [138][800/1879] lr: 2.0000e-03 eta: 5:59:06 time: 0.9256 data_time: 0.0247 memory: 11089 grad_norm: 5.9306 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2735 loss: 1.2735 2022/08/04 07:58:28 - mmengine - INFO - Epoch(train) [138][820/1879] lr: 2.0000e-03 eta: 5:58:47 time: 0.9096 data_time: 0.0250 memory: 11089 grad_norm: 5.9691 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2374 loss: 1.2374 2022/08/04 07:58:47 - mmengine - INFO - Epoch(train) [138][840/1879] lr: 2.0000e-03 eta: 5:58:29 time: 0.9154 data_time: 0.0241 memory: 11089 grad_norm: 5.9261 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1260 loss: 1.1260 2022/08/04 07:59:06 - mmengine - INFO - Epoch(train) [138][860/1879] lr: 2.0000e-03 eta: 5:58:11 time: 0.9540 data_time: 0.0300 memory: 11089 grad_norm: 6.0726 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2367 loss: 1.2367 2022/08/04 07:59:24 - mmengine - INFO - Epoch(train) [138][880/1879] lr: 2.0000e-03 eta: 5:57:53 time: 0.9154 data_time: 0.0275 memory: 11089 grad_norm: 5.8313 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1864 loss: 1.1864 2022/08/04 07:59:43 - mmengine - INFO - Epoch(train) [138][900/1879] lr: 2.0000e-03 eta: 5:57:34 time: 0.9203 data_time: 0.0286 memory: 11089 grad_norm: 6.1334 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3314 loss: 1.3314 2022/08/04 08:00:01 - mmengine - INFO - Epoch(train) [138][920/1879] lr: 2.0000e-03 eta: 5:57:16 time: 0.9142 data_time: 0.0288 memory: 11089 grad_norm: 6.1223 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2103 loss: 1.2103 2022/08/04 08:00:19 - mmengine - INFO - Epoch(train) [138][940/1879] lr: 2.0000e-03 eta: 5:56:58 time: 0.9143 data_time: 0.0274 memory: 11089 grad_norm: 5.8059 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1039 loss: 1.1039 2022/08/04 08:00:37 - mmengine - INFO - Epoch(train) [138][960/1879] lr: 2.0000e-03 eta: 5:56:40 time: 0.9015 data_time: 0.0243 memory: 11089 grad_norm: 6.1611 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1655 loss: 1.1655 2022/08/04 08:00:55 - mmengine - INFO - Epoch(train) [138][980/1879] lr: 2.0000e-03 eta: 5:56:21 time: 0.9161 data_time: 0.0255 memory: 11089 grad_norm: 5.8632 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1509 loss: 1.1509 2022/08/04 08:01:14 - mmengine - INFO - Epoch(train) [138][1000/1879] lr: 2.0000e-03 eta: 5:56:03 time: 0.9387 data_time: 0.0286 memory: 11089 grad_norm: 5.9705 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3540 loss: 1.3540 2022/08/04 08:01:33 - mmengine - INFO - Epoch(train) [138][1020/1879] lr: 2.0000e-03 eta: 5:55:45 time: 0.9318 data_time: 0.0327 memory: 11089 grad_norm: 5.8764 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2362 loss: 1.2362 2022/08/04 08:01:52 - mmengine - INFO - Epoch(train) [138][1040/1879] lr: 2.0000e-03 eta: 5:55:27 time: 0.9459 data_time: 0.0425 memory: 11089 grad_norm: 6.2125 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2428 loss: 1.2428 2022/08/04 08:02:11 - mmengine - INFO - Epoch(train) [138][1060/1879] lr: 2.0000e-03 eta: 5:55:09 time: 0.9526 data_time: 0.0344 memory: 11089 grad_norm: 5.9199 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2674 loss: 1.2674 2022/08/04 08:02:30 - mmengine - INFO - Epoch(train) [138][1080/1879] lr: 2.0000e-03 eta: 5:54:51 time: 0.9383 data_time: 0.0297 memory: 11089 grad_norm: 6.0449 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2783 loss: 1.2783 2022/08/04 08:02:49 - mmengine - INFO - Epoch(train) [138][1100/1879] lr: 2.0000e-03 eta: 5:54:32 time: 0.9508 data_time: 0.0385 memory: 11089 grad_norm: 6.0091 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1292 loss: 1.1292 2022/08/04 08:03:07 - mmengine - INFO - Epoch(train) [138][1120/1879] lr: 2.0000e-03 eta: 5:54:14 time: 0.9177 data_time: 0.0249 memory: 11089 grad_norm: 5.9707 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2290 loss: 1.2290 2022/08/04 08:03:26 - mmengine - INFO - Epoch(train) [138][1140/1879] lr: 2.0000e-03 eta: 5:53:56 time: 0.9490 data_time: 0.0331 memory: 11089 grad_norm: 5.9490 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1578 loss: 1.1578 2022/08/04 08:03:44 - mmengine - INFO - Epoch(train) [138][1160/1879] lr: 2.0000e-03 eta: 5:53:38 time: 0.9095 data_time: 0.0283 memory: 11089 grad_norm: 6.0873 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1969 loss: 1.1969 2022/08/04 08:04:03 - mmengine - INFO - Epoch(train) [138][1180/1879] lr: 2.0000e-03 eta: 5:53:20 time: 0.9435 data_time: 0.0320 memory: 11089 grad_norm: 6.0681 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1945 loss: 1.1945 2022/08/04 08:04:22 - mmengine - INFO - Epoch(train) [138][1200/1879] lr: 2.0000e-03 eta: 5:53:01 time: 0.9478 data_time: 0.0258 memory: 11089 grad_norm: 5.9922 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2646 loss: 1.2646 2022/08/04 08:04:40 - mmengine - INFO - Epoch(train) [138][1220/1879] lr: 2.0000e-03 eta: 5:52:43 time: 0.9124 data_time: 0.0295 memory: 11089 grad_norm: 5.8854 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1932 loss: 1.1932 2022/08/04 08:04:59 - mmengine - INFO - Epoch(train) [138][1240/1879] lr: 2.0000e-03 eta: 5:52:25 time: 0.9315 data_time: 0.0277 memory: 11089 grad_norm: 6.1241 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0756 loss: 1.0756 2022/08/04 08:05:17 - mmengine - INFO - Epoch(train) [138][1260/1879] lr: 2.0000e-03 eta: 5:52:07 time: 0.9132 data_time: 0.0240 memory: 11089 grad_norm: 5.9538 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1463 loss: 1.1463 2022/08/04 08:05:35 - mmengine - INFO - Epoch(train) [138][1280/1879] lr: 2.0000e-03 eta: 5:51:48 time: 0.9038 data_time: 0.0256 memory: 11089 grad_norm: 6.1957 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2119 loss: 1.2119 2022/08/04 08:05:54 - mmengine - INFO - Epoch(train) [138][1300/1879] lr: 2.0000e-03 eta: 5:51:30 time: 0.9232 data_time: 0.0257 memory: 11089 grad_norm: 5.9493 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1694 loss: 1.1694 2022/08/04 08:06:12 - mmengine - INFO - Epoch(train) [138][1320/1879] lr: 2.0000e-03 eta: 5:51:12 time: 0.9331 data_time: 0.0254 memory: 11089 grad_norm: 6.1394 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1510 loss: 1.1510 2022/08/04 08:06:31 - mmengine - INFO - Epoch(train) [138][1340/1879] lr: 2.0000e-03 eta: 5:50:54 time: 0.9357 data_time: 0.0282 memory: 11089 grad_norm: 6.1929 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2753 loss: 1.2753 2022/08/04 08:06:50 - mmengine - INFO - Epoch(train) [138][1360/1879] lr: 2.0000e-03 eta: 5:50:36 time: 0.9337 data_time: 0.0310 memory: 11089 grad_norm: 6.1806 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2521 loss: 1.2521 2022/08/04 08:07:09 - mmengine - INFO - Epoch(train) [138][1380/1879] lr: 2.0000e-03 eta: 5:50:17 time: 0.9460 data_time: 0.0347 memory: 11089 grad_norm: 6.4767 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2463 loss: 1.2463 2022/08/04 08:07:28 - mmengine - INFO - Epoch(train) [138][1400/1879] lr: 2.0000e-03 eta: 5:49:59 time: 0.9552 data_time: 0.0347 memory: 11089 grad_norm: 6.1886 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3056 loss: 1.3056 2022/08/04 08:07:46 - mmengine - INFO - Epoch(train) [138][1420/1879] lr: 2.0000e-03 eta: 5:49:41 time: 0.9248 data_time: 0.0319 memory: 11089 grad_norm: 6.1468 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3734 loss: 1.3734 2022/08/04 08:08:04 - mmengine - INFO - Epoch(train) [138][1440/1879] lr: 2.0000e-03 eta: 5:49:23 time: 0.8878 data_time: 0.0247 memory: 11089 grad_norm: 6.0820 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1542 loss: 1.1542 2022/08/04 08:08:23 - mmengine - INFO - Epoch(train) [138][1460/1879] lr: 2.0000e-03 eta: 5:49:05 time: 0.9178 data_time: 0.0233 memory: 11089 grad_norm: 5.8194 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1203 loss: 1.1203 2022/08/04 08:08:41 - mmengine - INFO - Epoch(train) [138][1480/1879] lr: 2.0000e-03 eta: 5:48:46 time: 0.9394 data_time: 0.0286 memory: 11089 grad_norm: 6.0641 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9661 loss: 0.9661 2022/08/04 08:09:00 - mmengine - INFO - Epoch(train) [138][1500/1879] lr: 2.0000e-03 eta: 5:48:28 time: 0.9263 data_time: 0.0321 memory: 11089 grad_norm: 6.0174 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2330 loss: 1.2330 2022/08/04 08:09:18 - mmengine - INFO - Epoch(train) [138][1520/1879] lr: 2.0000e-03 eta: 5:48:10 time: 0.9082 data_time: 0.0205 memory: 11089 grad_norm: 5.9792 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9316 loss: 0.9316 2022/08/04 08:09:36 - mmengine - INFO - Epoch(train) [138][1540/1879] lr: 2.0000e-03 eta: 5:47:52 time: 0.9189 data_time: 0.0288 memory: 11089 grad_norm: 5.7656 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9880 loss: 0.9880 2022/08/04 08:09:55 - mmengine - INFO - Epoch(train) [138][1560/1879] lr: 2.0000e-03 eta: 5:47:33 time: 0.9133 data_time: 0.0230 memory: 11089 grad_norm: 5.9133 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3224 loss: 1.3224 2022/08/04 08:10:10 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 08:10:13 - mmengine - INFO - Epoch(train) [138][1580/1879] lr: 2.0000e-03 eta: 5:47:15 time: 0.9248 data_time: 0.0367 memory: 11089 grad_norm: 6.1626 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2648 loss: 1.2648 2022/08/04 08:10:32 - mmengine - INFO - Epoch(train) [138][1600/1879] lr: 2.0000e-03 eta: 5:46:57 time: 0.9158 data_time: 0.0229 memory: 11089 grad_norm: 6.2040 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2397 loss: 1.2397 2022/08/04 08:10:50 - mmengine - INFO - Epoch(train) [138][1620/1879] lr: 2.0000e-03 eta: 5:46:39 time: 0.9257 data_time: 0.0375 memory: 11089 grad_norm: 6.0363 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0415 loss: 1.0415 2022/08/04 08:11:09 - mmengine - INFO - Epoch(train) [138][1640/1879] lr: 2.0000e-03 eta: 5:46:21 time: 0.9465 data_time: 0.0330 memory: 11089 grad_norm: 6.1332 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1790 loss: 1.1790 2022/08/04 08:11:28 - mmengine - INFO - Epoch(train) [138][1660/1879] lr: 2.0000e-03 eta: 5:46:02 time: 0.9350 data_time: 0.0270 memory: 11089 grad_norm: 5.9397 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2877 loss: 1.2877 2022/08/04 08:11:46 - mmengine - INFO - Epoch(train) [138][1680/1879] lr: 2.0000e-03 eta: 5:45:44 time: 0.9170 data_time: 0.0284 memory: 11089 grad_norm: 5.9310 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2186 loss: 1.2186 2022/08/04 08:12:05 - mmengine - INFO - Epoch(train) [138][1700/1879] lr: 2.0000e-03 eta: 5:45:26 time: 0.9307 data_time: 0.0260 memory: 11089 grad_norm: 6.0418 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2054 loss: 1.2054 2022/08/04 08:12:23 - mmengine - INFO - Epoch(train) [138][1720/1879] lr: 2.0000e-03 eta: 5:45:08 time: 0.9147 data_time: 0.0261 memory: 11089 grad_norm: 6.0858 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1024 loss: 1.1024 2022/08/04 08:12:41 - mmengine - INFO - Epoch(train) [138][1740/1879] lr: 2.0000e-03 eta: 5:44:50 time: 0.9117 data_time: 0.0241 memory: 11089 grad_norm: 6.1595 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2437 loss: 1.2437 2022/08/04 08:13:00 - mmengine - INFO - Epoch(train) [138][1760/1879] lr: 2.0000e-03 eta: 5:44:31 time: 0.9418 data_time: 0.0257 memory: 11089 grad_norm: 5.9248 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1836 loss: 1.1836 2022/08/04 08:13:18 - mmengine - INFO - Epoch(train) [138][1780/1879] lr: 2.0000e-03 eta: 5:44:13 time: 0.9010 data_time: 0.0237 memory: 11089 grad_norm: 6.0332 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1946 loss: 1.1946 2022/08/04 08:13:36 - mmengine - INFO - Epoch(train) [138][1800/1879] lr: 2.0000e-03 eta: 5:43:55 time: 0.9175 data_time: 0.0257 memory: 11089 grad_norm: 6.1530 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3248 loss: 1.3248 2022/08/04 08:13:55 - mmengine - INFO - Epoch(train) [138][1820/1879] lr: 2.0000e-03 eta: 5:43:37 time: 0.9364 data_time: 0.0336 memory: 11089 grad_norm: 5.7776 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1492 loss: 1.1492 2022/08/04 08:14:13 - mmengine - INFO - Epoch(train) [138][1840/1879] lr: 2.0000e-03 eta: 5:43:18 time: 0.9016 data_time: 0.0241 memory: 11089 grad_norm: 6.0428 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2282 loss: 1.2282 2022/08/04 08:14:31 - mmengine - INFO - Epoch(train) [138][1860/1879] lr: 2.0000e-03 eta: 5:43:00 time: 0.9129 data_time: 0.0259 memory: 11089 grad_norm: 6.0184 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2706 loss: 1.2706 2022/08/04 08:14:48 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 08:14:48 - mmengine - INFO - Epoch(train) [138][1879/1879] lr: 2.0000e-03 eta: 5:43:00 time: 0.8909 data_time: 0.0221 memory: 11089 grad_norm: 6.3149 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.3534 loss: 1.3534 2022/08/04 08:15:09 - mmengine - INFO - Epoch(train) [139][20/1879] lr: 2.0000e-03 eta: 5:42:23 time: 1.0274 data_time: 0.1431 memory: 11089 grad_norm: 5.8550 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1252 loss: 1.1252 2022/08/04 08:15:28 - mmengine - INFO - Epoch(train) [139][40/1879] lr: 2.0000e-03 eta: 5:42:05 time: 0.9228 data_time: 0.0250 memory: 11089 grad_norm: 5.8627 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1502 loss: 1.1502 2022/08/04 08:15:46 - mmengine - INFO - Epoch(train) [139][60/1879] lr: 2.0000e-03 eta: 5:41:47 time: 0.9155 data_time: 0.0212 memory: 11089 grad_norm: 5.9468 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1995 loss: 1.1995 2022/08/04 08:16:04 - mmengine - INFO - Epoch(train) [139][80/1879] lr: 2.0000e-03 eta: 5:41:29 time: 0.9108 data_time: 0.0235 memory: 11089 grad_norm: 5.9707 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2537 loss: 1.2537 2022/08/04 08:16:22 - mmengine - INFO - Epoch(train) [139][100/1879] lr: 2.0000e-03 eta: 5:41:10 time: 0.9172 data_time: 0.0322 memory: 11089 grad_norm: 5.8889 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2014 loss: 1.2014 2022/08/04 08:16:41 - mmengine - INFO - Epoch(train) [139][120/1879] lr: 2.0000e-03 eta: 5:40:52 time: 0.9322 data_time: 0.0263 memory: 11089 grad_norm: 5.7165 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3219 loss: 1.3219 2022/08/04 08:17:00 - mmengine - INFO - Epoch(train) [139][140/1879] lr: 2.0000e-03 eta: 5:40:34 time: 0.9292 data_time: 0.0373 memory: 11089 grad_norm: 5.9896 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2479 loss: 1.2479 2022/08/04 08:17:18 - mmengine - INFO - Epoch(train) [139][160/1879] lr: 2.0000e-03 eta: 5:40:16 time: 0.9315 data_time: 0.0304 memory: 11089 grad_norm: 5.8799 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1238 loss: 1.1238 2022/08/04 08:17:37 - mmengine - INFO - Epoch(train) [139][180/1879] lr: 2.0000e-03 eta: 5:39:58 time: 0.9328 data_time: 0.0324 memory: 11089 grad_norm: 5.5377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0931 loss: 1.0931 2022/08/04 08:17:55 - mmengine - INFO - Epoch(train) [139][200/1879] lr: 2.0000e-03 eta: 5:39:39 time: 0.9254 data_time: 0.0327 memory: 11089 grad_norm: 5.8949 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1526 loss: 1.1526 2022/08/04 08:18:14 - mmengine - INFO - Epoch(train) [139][220/1879] lr: 2.0000e-03 eta: 5:39:21 time: 0.9083 data_time: 0.0296 memory: 11089 grad_norm: 5.9966 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3368 loss: 1.3368 2022/08/04 08:18:32 - mmengine - INFO - Epoch(train) [139][240/1879] lr: 2.0000e-03 eta: 5:39:03 time: 0.9090 data_time: 0.0238 memory: 11089 grad_norm: 5.7627 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0748 loss: 1.0748 2022/08/04 08:18:50 - mmengine - INFO - Epoch(train) [139][260/1879] lr: 2.0000e-03 eta: 5:38:45 time: 0.9107 data_time: 0.0230 memory: 11089 grad_norm: 6.4783 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0408 loss: 1.0408 2022/08/04 08:19:08 - mmengine - INFO - Epoch(train) [139][280/1879] lr: 2.0000e-03 eta: 5:38:26 time: 0.9039 data_time: 0.0297 memory: 11089 grad_norm: 6.1413 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1168 loss: 1.1168 2022/08/04 08:19:27 - mmengine - INFO - Epoch(train) [139][300/1879] lr: 2.0000e-03 eta: 5:38:08 time: 0.9366 data_time: 0.0272 memory: 11089 grad_norm: 6.1082 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2471 loss: 1.2471 2022/08/04 08:19:46 - mmengine - INFO - Epoch(train) [139][320/1879] lr: 2.0000e-03 eta: 5:37:50 time: 0.9306 data_time: 0.0313 memory: 11089 grad_norm: 6.1555 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1379 loss: 1.1379 2022/08/04 08:20:05 - mmengine - INFO - Epoch(train) [139][340/1879] lr: 2.0000e-03 eta: 5:37:32 time: 0.9527 data_time: 0.0300 memory: 11089 grad_norm: 5.8226 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2297 loss: 1.2297 2022/08/04 08:20:23 - mmengine - INFO - Epoch(train) [139][360/1879] lr: 2.0000e-03 eta: 5:37:14 time: 0.9190 data_time: 0.0266 memory: 11089 grad_norm: 6.1620 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4193 loss: 1.4193 2022/08/04 08:20:42 - mmengine - INFO - Epoch(train) [139][380/1879] lr: 2.0000e-03 eta: 5:36:55 time: 0.9314 data_time: 0.0353 memory: 11089 grad_norm: 5.9547 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2014 loss: 1.2014 2022/08/04 08:21:00 - mmengine - INFO - Epoch(train) [139][400/1879] lr: 2.0000e-03 eta: 5:36:37 time: 0.9379 data_time: 0.0289 memory: 11089 grad_norm: 6.0449 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0811 loss: 1.0811 2022/08/04 08:21:19 - mmengine - INFO - Epoch(train) [139][420/1879] lr: 2.0000e-03 eta: 5:36:19 time: 0.9455 data_time: 0.0295 memory: 11089 grad_norm: 5.9837 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1831 loss: 1.1831 2022/08/04 08:21:38 - mmengine - INFO - Epoch(train) [139][440/1879] lr: 2.0000e-03 eta: 5:36:01 time: 0.9338 data_time: 0.0343 memory: 11089 grad_norm: 6.0053 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3334 loss: 1.3334 2022/08/04 08:21:57 - mmengine - INFO - Epoch(train) [139][460/1879] lr: 2.0000e-03 eta: 5:35:43 time: 0.9490 data_time: 0.0346 memory: 11089 grad_norm: 5.8565 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2655 loss: 1.2655 2022/08/04 08:22:16 - mmengine - INFO - Epoch(train) [139][480/1879] lr: 2.0000e-03 eta: 5:35:24 time: 0.9314 data_time: 0.0272 memory: 11089 grad_norm: 5.9874 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2687 loss: 1.2687 2022/08/04 08:22:34 - mmengine - INFO - Epoch(train) [139][500/1879] lr: 2.0000e-03 eta: 5:35:06 time: 0.9197 data_time: 0.0274 memory: 11089 grad_norm: 5.9896 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3380 loss: 1.3380 2022/08/04 08:22:52 - mmengine - INFO - Epoch(train) [139][520/1879] lr: 2.0000e-03 eta: 5:34:48 time: 0.9125 data_time: 0.0251 memory: 11089 grad_norm: 6.0071 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0976 loss: 1.0976 2022/08/04 08:23:11 - mmengine - INFO - Epoch(train) [139][540/1879] lr: 2.0000e-03 eta: 5:34:30 time: 0.9195 data_time: 0.0271 memory: 11089 grad_norm: 6.0308 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0331 loss: 1.0331 2022/08/04 08:23:29 - mmengine - INFO - Epoch(train) [139][560/1879] lr: 2.0000e-03 eta: 5:34:11 time: 0.9118 data_time: 0.0301 memory: 11089 grad_norm: 6.0017 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2816 loss: 1.2816 2022/08/04 08:23:46 - mmengine - INFO - Epoch(train) [139][580/1879] lr: 2.0000e-03 eta: 5:33:53 time: 0.8755 data_time: 0.0242 memory: 11089 grad_norm: 6.0261 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2525 loss: 1.2525 2022/08/04 08:24:05 - mmengine - INFO - Epoch(train) [139][600/1879] lr: 2.0000e-03 eta: 5:33:35 time: 0.9358 data_time: 0.0353 memory: 11089 grad_norm: 5.9207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2020 loss: 1.2020 2022/08/04 08:24:24 - mmengine - INFO - Epoch(train) [139][620/1879] lr: 2.0000e-03 eta: 5:33:17 time: 0.9286 data_time: 0.0228 memory: 11089 grad_norm: 6.0781 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2891 loss: 1.2891 2022/08/04 08:24:42 - mmengine - INFO - Epoch(train) [139][640/1879] lr: 2.0000e-03 eta: 5:32:59 time: 0.9224 data_time: 0.0337 memory: 11089 grad_norm: 5.9435 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9950 loss: 0.9950 2022/08/04 08:25:01 - mmengine - INFO - Epoch(train) [139][660/1879] lr: 2.0000e-03 eta: 5:32:40 time: 0.9200 data_time: 0.0295 memory: 11089 grad_norm: 6.2600 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2587 loss: 1.2587 2022/08/04 08:25:19 - mmengine - INFO - Epoch(train) [139][680/1879] lr: 2.0000e-03 eta: 5:32:22 time: 0.9360 data_time: 0.0226 memory: 11089 grad_norm: 5.9636 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1832 loss: 1.1832 2022/08/04 08:25:36 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 08:25:38 - mmengine - INFO - Epoch(train) [139][700/1879] lr: 2.0000e-03 eta: 5:32:04 time: 0.9339 data_time: 0.0350 memory: 11089 grad_norm: 5.8409 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2885 loss: 1.2885 2022/08/04 08:25:56 - mmengine - INFO - Epoch(train) [139][720/1879] lr: 2.0000e-03 eta: 5:31:46 time: 0.9122 data_time: 0.0287 memory: 11089 grad_norm: 6.0029 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2162 loss: 1.2162 2022/08/04 08:26:14 - mmengine - INFO - Epoch(train) [139][740/1879] lr: 2.0000e-03 eta: 5:31:27 time: 0.9103 data_time: 0.0261 memory: 11089 grad_norm: 6.1116 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1880 loss: 1.1880 2022/08/04 08:26:33 - mmengine - INFO - Epoch(train) [139][760/1879] lr: 2.0000e-03 eta: 5:31:09 time: 0.9035 data_time: 0.0266 memory: 11089 grad_norm: 6.0896 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2211 loss: 1.2211 2022/08/04 08:26:51 - mmengine - INFO - Epoch(train) [139][780/1879] lr: 2.0000e-03 eta: 5:30:51 time: 0.9208 data_time: 0.0236 memory: 11089 grad_norm: 5.9128 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1072 loss: 1.1072 2022/08/04 08:27:09 - mmengine - INFO - Epoch(train) [139][800/1879] lr: 2.0000e-03 eta: 5:30:33 time: 0.9065 data_time: 0.0275 memory: 11089 grad_norm: 6.0599 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.2870 loss: 1.2870 2022/08/04 08:27:27 - mmengine - INFO - Epoch(train) [139][820/1879] lr: 2.0000e-03 eta: 5:30:14 time: 0.9176 data_time: 0.0227 memory: 11089 grad_norm: 5.9304 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1058 loss: 1.1058 2022/08/04 08:27:46 - mmengine - INFO - Epoch(train) [139][840/1879] lr: 2.0000e-03 eta: 5:29:56 time: 0.9300 data_time: 0.0234 memory: 11089 grad_norm: 5.9613 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0192 loss: 1.0192 2022/08/04 08:28:05 - mmengine - INFO - Epoch(train) [139][860/1879] lr: 2.0000e-03 eta: 5:29:38 time: 0.9416 data_time: 0.0319 memory: 11089 grad_norm: 5.9059 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9438 loss: 0.9438 2022/08/04 08:28:24 - mmengine - INFO - Epoch(train) [139][880/1879] lr: 2.0000e-03 eta: 5:29:20 time: 0.9369 data_time: 0.0255 memory: 11089 grad_norm: 5.9624 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3195 loss: 1.3195 2022/08/04 08:28:42 - mmengine - INFO - Epoch(train) [139][900/1879] lr: 2.0000e-03 eta: 5:29:02 time: 0.9325 data_time: 0.0257 memory: 11089 grad_norm: 5.8550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0267 loss: 1.0267 2022/08/04 08:29:01 - mmengine - INFO - Epoch(train) [139][920/1879] lr: 2.0000e-03 eta: 5:28:43 time: 0.9338 data_time: 0.0305 memory: 11089 grad_norm: 6.0091 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1629 loss: 1.1629 2022/08/04 08:29:19 - mmengine - INFO - Epoch(train) [139][940/1879] lr: 2.0000e-03 eta: 5:28:25 time: 0.9139 data_time: 0.0326 memory: 11089 grad_norm: 6.2475 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1573 loss: 1.1573 2022/08/04 08:29:37 - mmengine - INFO - Epoch(train) [139][960/1879] lr: 2.0000e-03 eta: 5:28:07 time: 0.8992 data_time: 0.0210 memory: 11089 grad_norm: 6.0472 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0738 loss: 1.0738 2022/08/04 08:29:55 - mmengine - INFO - Epoch(train) [139][980/1879] lr: 2.0000e-03 eta: 5:27:49 time: 0.9125 data_time: 0.0232 memory: 11089 grad_norm: 5.9653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1974 loss: 1.1974 2022/08/04 08:30:14 - mmengine - INFO - Epoch(train) [139][1000/1879] lr: 2.0000e-03 eta: 5:27:30 time: 0.9183 data_time: 0.0273 memory: 11089 grad_norm: 5.8325 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1988 loss: 1.1988 2022/08/04 08:30:32 - mmengine - INFO - Epoch(train) [139][1020/1879] lr: 2.0000e-03 eta: 5:27:12 time: 0.9202 data_time: 0.0318 memory: 11089 grad_norm: 6.0030 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2993 loss: 1.2993 2022/08/04 08:30:50 - mmengine - INFO - Epoch(train) [139][1040/1879] lr: 2.0000e-03 eta: 5:26:54 time: 0.8908 data_time: 0.0207 memory: 11089 grad_norm: 6.1936 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2206 loss: 1.2206 2022/08/04 08:31:08 - mmengine - INFO - Epoch(train) [139][1060/1879] lr: 2.0000e-03 eta: 5:26:36 time: 0.8960 data_time: 0.0231 memory: 11089 grad_norm: 6.1993 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2623 loss: 1.2623 2022/08/04 08:31:27 - mmengine - INFO - Epoch(train) [139][1080/1879] lr: 2.0000e-03 eta: 5:26:17 time: 0.9270 data_time: 0.0248 memory: 11089 grad_norm: 5.9926 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1553 loss: 1.1553 2022/08/04 08:31:45 - mmengine - INFO - Epoch(train) [139][1100/1879] lr: 2.0000e-03 eta: 5:25:59 time: 0.9327 data_time: 0.0297 memory: 11089 grad_norm: 6.0043 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4515 loss: 1.4515 2022/08/04 08:32:04 - mmengine - INFO - Epoch(train) [139][1120/1879] lr: 2.0000e-03 eta: 5:25:41 time: 0.9366 data_time: 0.0238 memory: 11089 grad_norm: 6.1574 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1447 loss: 1.1447 2022/08/04 08:32:22 - mmengine - INFO - Epoch(train) [139][1140/1879] lr: 2.0000e-03 eta: 5:25:23 time: 0.9162 data_time: 0.0228 memory: 11089 grad_norm: 6.0116 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0793 loss: 1.0793 2022/08/04 08:32:41 - mmengine - INFO - Epoch(train) [139][1160/1879] lr: 2.0000e-03 eta: 5:25:05 time: 0.9213 data_time: 0.0245 memory: 11089 grad_norm: 6.0117 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2981 loss: 1.2981 2022/08/04 08:32:59 - mmengine - INFO - Epoch(train) [139][1180/1879] lr: 2.0000e-03 eta: 5:24:46 time: 0.9100 data_time: 0.0374 memory: 11089 grad_norm: 6.0411 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1397 loss: 1.1397 2022/08/04 08:33:18 - mmengine - INFO - Epoch(train) [139][1200/1879] lr: 2.0000e-03 eta: 5:24:28 time: 0.9411 data_time: 0.0276 memory: 11089 grad_norm: 6.1436 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2651 loss: 1.2651 2022/08/04 08:33:36 - mmengine - INFO - Epoch(train) [139][1220/1879] lr: 2.0000e-03 eta: 5:24:10 time: 0.9202 data_time: 0.0280 memory: 11089 grad_norm: 6.1574 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2025 loss: 1.2025 2022/08/04 08:33:55 - mmengine - INFO - Epoch(train) [139][1240/1879] lr: 2.0000e-03 eta: 5:23:52 time: 0.9296 data_time: 0.0275 memory: 11089 grad_norm: 6.0756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0866 loss: 1.0866 2022/08/04 08:34:13 - mmengine - INFO - Epoch(train) [139][1260/1879] lr: 2.0000e-03 eta: 5:23:34 time: 0.9263 data_time: 0.0375 memory: 11089 grad_norm: 5.9755 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9958 loss: 0.9958 2022/08/04 08:34:32 - mmengine - INFO - Epoch(train) [139][1280/1879] lr: 2.0000e-03 eta: 5:23:15 time: 0.9367 data_time: 0.0290 memory: 11089 grad_norm: 5.8692 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1183 loss: 1.1183 2022/08/04 08:34:50 - mmengine - INFO - Epoch(train) [139][1300/1879] lr: 2.0000e-03 eta: 5:22:57 time: 0.9080 data_time: 0.0280 memory: 11089 grad_norm: 6.1008 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1024 loss: 1.1024 2022/08/04 08:35:09 - mmengine - INFO - Epoch(train) [139][1320/1879] lr: 2.0000e-03 eta: 5:22:39 time: 0.9220 data_time: 0.0261 memory: 11089 grad_norm: 6.0547 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0509 loss: 1.0509 2022/08/04 08:35:27 - mmengine - INFO - Epoch(train) [139][1340/1879] lr: 2.0000e-03 eta: 5:22:21 time: 0.9209 data_time: 0.0281 memory: 11089 grad_norm: 6.2025 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2574 loss: 1.2574 2022/08/04 08:35:46 - mmengine - INFO - Epoch(train) [139][1360/1879] lr: 2.0000e-03 eta: 5:22:02 time: 0.9295 data_time: 0.0265 memory: 11089 grad_norm: 6.0881 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2898 loss: 1.2898 2022/08/04 08:36:04 - mmengine - INFO - Epoch(train) [139][1380/1879] lr: 2.0000e-03 eta: 5:21:44 time: 0.9337 data_time: 0.0421 memory: 11089 grad_norm: 5.9495 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1977 loss: 1.1977 2022/08/04 08:36:23 - mmengine - INFO - Epoch(train) [139][1400/1879] lr: 2.0000e-03 eta: 5:21:26 time: 0.9456 data_time: 0.0364 memory: 11089 grad_norm: 5.9411 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0789 loss: 1.0789 2022/08/04 08:36:42 - mmengine - INFO - Epoch(train) [139][1420/1879] lr: 2.0000e-03 eta: 5:21:08 time: 0.9294 data_time: 0.0289 memory: 11089 grad_norm: 6.0006 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2679 loss: 1.2679 2022/08/04 08:37:00 - mmengine - INFO - Epoch(train) [139][1440/1879] lr: 2.0000e-03 eta: 5:20:50 time: 0.9223 data_time: 0.0236 memory: 11089 grad_norm: 6.0433 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1788 loss: 1.1788 2022/08/04 08:37:19 - mmengine - INFO - Epoch(train) [139][1460/1879] lr: 2.0000e-03 eta: 5:20:31 time: 0.9186 data_time: 0.0297 memory: 11089 grad_norm: 6.2153 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1375 loss: 1.1375 2022/08/04 08:37:37 - mmengine - INFO - Epoch(train) [139][1480/1879] lr: 2.0000e-03 eta: 5:20:13 time: 0.9265 data_time: 0.0335 memory: 11089 grad_norm: 6.1428 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3950 loss: 1.3950 2022/08/04 08:37:56 - mmengine - INFO - Epoch(train) [139][1500/1879] lr: 2.0000e-03 eta: 5:19:55 time: 0.9471 data_time: 0.0314 memory: 11089 grad_norm: 6.0303 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1850 loss: 1.1850 2022/08/04 08:38:15 - mmengine - INFO - Epoch(train) [139][1520/1879] lr: 2.0000e-03 eta: 5:19:37 time: 0.9201 data_time: 0.0243 memory: 11089 grad_norm: 5.8941 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2094 loss: 1.2094 2022/08/04 08:38:34 - mmengine - INFO - Epoch(train) [139][1540/1879] lr: 2.0000e-03 eta: 5:19:19 time: 0.9446 data_time: 0.0229 memory: 11089 grad_norm: 6.0075 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2103 loss: 1.2103 2022/08/04 08:38:52 - mmengine - INFO - Epoch(train) [139][1560/1879] lr: 2.0000e-03 eta: 5:19:00 time: 0.9257 data_time: 0.0286 memory: 11089 grad_norm: 6.0172 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2473 loss: 1.2473 2022/08/04 08:39:10 - mmengine - INFO - Epoch(train) [139][1580/1879] lr: 2.0000e-03 eta: 5:18:42 time: 0.9029 data_time: 0.0216 memory: 11089 grad_norm: 6.0955 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2574 loss: 1.2574 2022/08/04 08:39:28 - mmengine - INFO - Epoch(train) [139][1600/1879] lr: 2.0000e-03 eta: 5:18:24 time: 0.9148 data_time: 0.0273 memory: 11089 grad_norm: 6.1119 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2471 loss: 1.2471 2022/08/04 08:39:47 - mmengine - INFO - Epoch(train) [139][1620/1879] lr: 2.0000e-03 eta: 5:18:06 time: 0.9102 data_time: 0.0243 memory: 11089 grad_norm: 5.8994 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1027 loss: 1.1027 2022/08/04 08:40:05 - mmengine - INFO - Epoch(train) [139][1640/1879] lr: 2.0000e-03 eta: 5:17:47 time: 0.9067 data_time: 0.0257 memory: 11089 grad_norm: 6.0100 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2935 loss: 1.2935 2022/08/04 08:40:23 - mmengine - INFO - Epoch(train) [139][1660/1879] lr: 2.0000e-03 eta: 5:17:29 time: 0.9091 data_time: 0.0232 memory: 11089 grad_norm: 6.0980 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3541 loss: 1.3541 2022/08/04 08:40:41 - mmengine - INFO - Epoch(train) [139][1680/1879] lr: 2.0000e-03 eta: 5:17:11 time: 0.9081 data_time: 0.0239 memory: 11089 grad_norm: 5.9800 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2557 loss: 1.2557 2022/08/04 08:40:57 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 08:40:59 - mmengine - INFO - Epoch(train) [139][1700/1879] lr: 2.0000e-03 eta: 5:16:53 time: 0.8963 data_time: 0.0241 memory: 11089 grad_norm: 6.1609 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3068 loss: 1.3068 2022/08/04 08:41:17 - mmengine - INFO - Epoch(train) [139][1720/1879] lr: 2.0000e-03 eta: 5:16:34 time: 0.9209 data_time: 0.0243 memory: 11089 grad_norm: 6.0795 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1442 loss: 1.1442 2022/08/04 08:41:36 - mmengine - INFO - Epoch(train) [139][1740/1879] lr: 2.0000e-03 eta: 5:16:16 time: 0.9124 data_time: 0.0256 memory: 11089 grad_norm: 5.9911 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2464 loss: 1.2464 2022/08/04 08:41:54 - mmengine - INFO - Epoch(train) [139][1760/1879] lr: 2.0000e-03 eta: 5:15:58 time: 0.9311 data_time: 0.0327 memory: 11089 grad_norm: 6.1239 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2922 loss: 1.2922 2022/08/04 08:42:13 - mmengine - INFO - Epoch(train) [139][1780/1879] lr: 2.0000e-03 eta: 5:15:40 time: 0.9167 data_time: 0.0299 memory: 11089 grad_norm: 6.0071 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1438 loss: 1.1438 2022/08/04 08:42:31 - mmengine - INFO - Epoch(train) [139][1800/1879] lr: 2.0000e-03 eta: 5:15:21 time: 0.9080 data_time: 0.0237 memory: 11089 grad_norm: 6.0624 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3609 loss: 1.3609 2022/08/04 08:42:49 - mmengine - INFO - Epoch(train) [139][1820/1879] lr: 2.0000e-03 eta: 5:15:03 time: 0.9110 data_time: 0.0291 memory: 11089 grad_norm: 6.1874 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2286 loss: 1.2286 2022/08/04 08:43:07 - mmengine - INFO - Epoch(train) [139][1840/1879] lr: 2.0000e-03 eta: 5:14:45 time: 0.9188 data_time: 0.0257 memory: 11089 grad_norm: 6.1666 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4286 loss: 1.4286 2022/08/04 08:43:26 - mmengine - INFO - Epoch(train) [139][1860/1879] lr: 2.0000e-03 eta: 5:14:27 time: 0.9211 data_time: 0.0235 memory: 11089 grad_norm: 6.2469 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2042 loss: 1.2042 2022/08/04 08:43:43 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 08:43:43 - mmengine - INFO - Epoch(train) [139][1879/1879] lr: 2.0000e-03 eta: 5:14:27 time: 0.9211 data_time: 0.0234 memory: 11089 grad_norm: 6.1131 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.0671 loss: 1.0671 2022/08/04 08:44:05 - mmengine - INFO - Epoch(train) [140][20/1879] lr: 2.0000e-03 eta: 5:13:50 time: 1.0582 data_time: 0.1575 memory: 11089 grad_norm: 5.9393 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2511 loss: 1.2511 2022/08/04 08:44:23 - mmengine - INFO - Epoch(train) [140][40/1879] lr: 2.0000e-03 eta: 5:13:32 time: 0.9229 data_time: 0.0293 memory: 11089 grad_norm: 5.9604 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2208 loss: 1.2208 2022/08/04 08:44:42 - mmengine - INFO - Epoch(train) [140][60/1879] lr: 2.0000e-03 eta: 5:13:14 time: 0.9418 data_time: 0.0311 memory: 11089 grad_norm: 5.9773 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.2366 loss: 1.2366 2022/08/04 08:45:00 - mmengine - INFO - Epoch(train) [140][80/1879] lr: 2.0000e-03 eta: 5:12:55 time: 0.9171 data_time: 0.0290 memory: 11089 grad_norm: 6.0586 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3582 loss: 1.3582 2022/08/04 08:45:19 - mmengine - INFO - Epoch(train) [140][100/1879] lr: 2.0000e-03 eta: 5:12:37 time: 0.9395 data_time: 0.0274 memory: 11089 grad_norm: 5.9135 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0311 loss: 1.0311 2022/08/04 08:45:38 - mmengine - INFO - Epoch(train) [140][120/1879] lr: 2.0000e-03 eta: 5:12:19 time: 0.9224 data_time: 0.0252 memory: 11089 grad_norm: 6.0821 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2769 loss: 1.2769 2022/08/04 08:45:56 - mmengine - INFO - Epoch(train) [140][140/1879] lr: 2.0000e-03 eta: 5:12:01 time: 0.9290 data_time: 0.0270 memory: 11089 grad_norm: 5.7745 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2142 loss: 1.2142 2022/08/04 08:46:15 - mmengine - INFO - Epoch(train) [140][160/1879] lr: 2.0000e-03 eta: 5:11:43 time: 0.9437 data_time: 0.0264 memory: 11089 grad_norm: 6.0489 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2651 loss: 1.2651 2022/08/04 08:46:34 - mmengine - INFO - Epoch(train) [140][180/1879] lr: 2.0000e-03 eta: 5:11:24 time: 0.9405 data_time: 0.0277 memory: 11089 grad_norm: 5.9884 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2740 loss: 1.2740 2022/08/04 08:46:52 - mmengine - INFO - Epoch(train) [140][200/1879] lr: 2.0000e-03 eta: 5:11:06 time: 0.9141 data_time: 0.0302 memory: 11089 grad_norm: 6.1102 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0519 loss: 1.0519 2022/08/04 08:47:10 - mmengine - INFO - Epoch(train) [140][220/1879] lr: 2.0000e-03 eta: 5:10:48 time: 0.9014 data_time: 0.0275 memory: 11089 grad_norm: 6.0157 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1269 loss: 1.1269 2022/08/04 08:47:29 - mmengine - INFO - Epoch(train) [140][240/1879] lr: 2.0000e-03 eta: 5:10:30 time: 0.9219 data_time: 0.0205 memory: 11089 grad_norm: 6.0748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1277 loss: 1.1277 2022/08/04 08:47:48 - mmengine - INFO - Epoch(train) [140][260/1879] lr: 2.0000e-03 eta: 5:10:12 time: 0.9484 data_time: 0.0364 memory: 11089 grad_norm: 6.2794 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3088 loss: 1.3088 2022/08/04 08:48:06 - mmengine - INFO - Epoch(train) [140][280/1879] lr: 2.0000e-03 eta: 5:09:53 time: 0.9222 data_time: 0.0286 memory: 11089 grad_norm: 5.7702 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1009 loss: 1.1009 2022/08/04 08:48:25 - mmengine - INFO - Epoch(train) [140][300/1879] lr: 2.0000e-03 eta: 5:09:35 time: 0.9259 data_time: 0.0307 memory: 11089 grad_norm: 5.9515 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1180 loss: 1.1180 2022/08/04 08:48:43 - mmengine - INFO - Epoch(train) [140][320/1879] lr: 2.0000e-03 eta: 5:09:17 time: 0.9205 data_time: 0.0348 memory: 11089 grad_norm: 5.9693 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0259 loss: 1.0259 2022/08/04 08:49:02 - mmengine - INFO - Epoch(train) [140][340/1879] lr: 2.0000e-03 eta: 5:08:59 time: 0.9355 data_time: 0.0307 memory: 11089 grad_norm: 6.1771 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3988 loss: 1.3988 2022/08/04 08:49:20 - mmengine - INFO - Epoch(train) [140][360/1879] lr: 2.0000e-03 eta: 5:08:40 time: 0.9333 data_time: 0.0338 memory: 11089 grad_norm: 5.9876 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3406 loss: 1.3406 2022/08/04 08:49:39 - mmengine - INFO - Epoch(train) [140][380/1879] lr: 2.0000e-03 eta: 5:08:22 time: 0.9174 data_time: 0.0256 memory: 11089 grad_norm: 6.1893 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2109 loss: 1.2109 2022/08/04 08:49:58 - mmengine - INFO - Epoch(train) [140][400/1879] lr: 2.0000e-03 eta: 5:08:04 time: 0.9370 data_time: 0.0361 memory: 11089 grad_norm: 5.9252 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9769 loss: 0.9769 2022/08/04 08:50:16 - mmengine - INFO - Epoch(train) [140][420/1879] lr: 2.0000e-03 eta: 5:07:46 time: 0.9115 data_time: 0.0299 memory: 11089 grad_norm: 6.2367 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0893 loss: 1.0893 2022/08/04 08:50:34 - mmengine - INFO - Epoch(train) [140][440/1879] lr: 2.0000e-03 eta: 5:07:28 time: 0.8986 data_time: 0.0230 memory: 11089 grad_norm: 6.0025 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1314 loss: 1.1314 2022/08/04 08:50:53 - mmengine - INFO - Epoch(train) [140][460/1879] lr: 2.0000e-03 eta: 5:07:09 time: 0.9481 data_time: 0.0329 memory: 11089 grad_norm: 6.2242 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2420 loss: 1.2420 2022/08/04 08:51:11 - mmengine - INFO - Epoch(train) [140][480/1879] lr: 2.0000e-03 eta: 5:06:51 time: 0.9221 data_time: 0.0253 memory: 11089 grad_norm: 6.0720 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2882 loss: 1.2882 2022/08/04 08:51:30 - mmengine - INFO - Epoch(train) [140][500/1879] lr: 2.0000e-03 eta: 5:06:33 time: 0.9479 data_time: 0.0274 memory: 11089 grad_norm: 6.1701 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2476 loss: 1.2476 2022/08/04 08:51:48 - mmengine - INFO - Epoch(train) [140][520/1879] lr: 2.0000e-03 eta: 5:06:15 time: 0.9134 data_time: 0.0242 memory: 11089 grad_norm: 6.1508 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1371 loss: 1.1371 2022/08/04 08:52:06 - mmengine - INFO - Epoch(train) [140][540/1879] lr: 2.0000e-03 eta: 5:05:56 time: 0.8919 data_time: 0.0185 memory: 11089 grad_norm: 5.9647 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2161 loss: 1.2161 2022/08/04 08:52:25 - mmengine - INFO - Epoch(train) [140][560/1879] lr: 2.0000e-03 eta: 5:05:38 time: 0.9263 data_time: 0.0323 memory: 11089 grad_norm: 6.0386 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2692 loss: 1.2692 2022/08/04 08:52:43 - mmengine - INFO - Epoch(train) [140][580/1879] lr: 2.0000e-03 eta: 5:05:20 time: 0.9108 data_time: 0.0359 memory: 11089 grad_norm: 6.1577 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3435 loss: 1.3435 2022/08/04 08:53:02 - mmengine - INFO - Epoch(train) [140][600/1879] lr: 2.0000e-03 eta: 5:05:02 time: 0.9226 data_time: 0.0271 memory: 11089 grad_norm: 5.9902 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3813 loss: 1.3813 2022/08/04 08:53:20 - mmengine - INFO - Epoch(train) [140][620/1879] lr: 2.0000e-03 eta: 5:04:44 time: 0.9226 data_time: 0.0232 memory: 11089 grad_norm: 6.1029 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1849 loss: 1.1849 2022/08/04 08:53:38 - mmengine - INFO - Epoch(train) [140][640/1879] lr: 2.0000e-03 eta: 5:04:25 time: 0.9041 data_time: 0.0251 memory: 11089 grad_norm: 6.0677 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0732 loss: 1.0732 2022/08/04 08:53:57 - mmengine - INFO - Epoch(train) [140][660/1879] lr: 2.0000e-03 eta: 5:04:07 time: 0.9267 data_time: 0.0323 memory: 11089 grad_norm: 5.8392 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2358 loss: 1.2358 2022/08/04 08:54:15 - mmengine - INFO - Epoch(train) [140][680/1879] lr: 2.0000e-03 eta: 5:03:49 time: 0.9186 data_time: 0.0275 memory: 11089 grad_norm: 5.7871 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1951 loss: 1.1951 2022/08/04 08:54:34 - mmengine - INFO - Epoch(train) [140][700/1879] lr: 2.0000e-03 eta: 5:03:31 time: 0.9264 data_time: 0.0271 memory: 11089 grad_norm: 5.9660 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0496 loss: 1.0496 2022/08/04 08:54:51 - mmengine - INFO - Epoch(train) [140][720/1879] lr: 2.0000e-03 eta: 5:03:12 time: 0.8976 data_time: 0.0269 memory: 11089 grad_norm: 5.9496 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1013 loss: 1.1013 2022/08/04 08:55:10 - mmengine - INFO - Epoch(train) [140][740/1879] lr: 2.0000e-03 eta: 5:02:54 time: 0.9108 data_time: 0.0253 memory: 11089 grad_norm: 6.1083 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1545 loss: 1.1545 2022/08/04 08:55:28 - mmengine - INFO - Epoch(train) [140][760/1879] lr: 2.0000e-03 eta: 5:02:36 time: 0.9215 data_time: 0.0324 memory: 11089 grad_norm: 5.9366 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9936 loss: 0.9936 2022/08/04 08:55:46 - mmengine - INFO - Epoch(train) [140][780/1879] lr: 2.0000e-03 eta: 5:02:18 time: 0.9078 data_time: 0.0286 memory: 11089 grad_norm: 5.9881 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1398 loss: 1.1398 2022/08/04 08:56:05 - mmengine - INFO - Epoch(train) [140][800/1879] lr: 2.0000e-03 eta: 5:01:59 time: 0.9165 data_time: 0.0258 memory: 11089 grad_norm: 5.9088 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1241 loss: 1.1241 2022/08/04 08:56:22 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 08:56:23 - mmengine - INFO - Epoch(train) [140][820/1879] lr: 2.0000e-03 eta: 5:01:41 time: 0.9068 data_time: 0.0334 memory: 11089 grad_norm: 6.0719 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0657 loss: 1.0657 2022/08/04 08:56:41 - mmengine - INFO - Epoch(train) [140][840/1879] lr: 2.0000e-03 eta: 5:01:23 time: 0.9012 data_time: 0.0209 memory: 11089 grad_norm: 6.0610 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1384 loss: 1.1384 2022/08/04 08:56:59 - mmengine - INFO - Epoch(train) [140][860/1879] lr: 2.0000e-03 eta: 5:01:05 time: 0.9083 data_time: 0.0245 memory: 11089 grad_norm: 6.2072 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4244 loss: 1.4244 2022/08/04 08:57:18 - mmengine - INFO - Epoch(train) [140][880/1879] lr: 2.0000e-03 eta: 5:00:46 time: 0.9364 data_time: 0.0265 memory: 11089 grad_norm: 5.9990 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3919 loss: 1.3919 2022/08/04 08:57:36 - mmengine - INFO - Epoch(train) [140][900/1879] lr: 2.0000e-03 eta: 5:00:28 time: 0.9340 data_time: 0.0294 memory: 11089 grad_norm: 6.1558 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2908 loss: 1.2908 2022/08/04 08:57:55 - mmengine - INFO - Epoch(train) [140][920/1879] lr: 2.0000e-03 eta: 5:00:10 time: 0.9513 data_time: 0.0239 memory: 11089 grad_norm: 6.2469 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3366 loss: 1.3366 2022/08/04 08:58:14 - mmengine - INFO - Epoch(train) [140][940/1879] lr: 2.0000e-03 eta: 4:59:52 time: 0.9102 data_time: 0.0233 memory: 11089 grad_norm: 6.0919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2400 loss: 1.2400 2022/08/04 08:58:32 - mmengine - INFO - Epoch(train) [140][960/1879] lr: 2.0000e-03 eta: 4:59:34 time: 0.9123 data_time: 0.0255 memory: 11089 grad_norm: 6.0726 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2101 loss: 1.2101 2022/08/04 08:58:51 - mmengine - INFO - Epoch(train) [140][980/1879] lr: 2.0000e-03 eta: 4:59:15 time: 0.9322 data_time: 0.0308 memory: 11089 grad_norm: 5.9515 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0887 loss: 1.0887 2022/08/04 08:59:09 - mmengine - INFO - Epoch(train) [140][1000/1879] lr: 2.0000e-03 eta: 4:58:57 time: 0.9289 data_time: 0.0364 memory: 11089 grad_norm: 6.1086 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9924 loss: 0.9924 2022/08/04 08:59:27 - mmengine - INFO - Epoch(train) [140][1020/1879] lr: 2.0000e-03 eta: 4:58:39 time: 0.9143 data_time: 0.0230 memory: 11089 grad_norm: 6.1694 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1618 loss: 1.1618 2022/08/04 08:59:46 - mmengine - INFO - Epoch(train) [140][1040/1879] lr: 2.0000e-03 eta: 4:58:21 time: 0.9208 data_time: 0.0295 memory: 11089 grad_norm: 6.1678 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2153 loss: 1.2153 2022/08/04 09:00:04 - mmengine - INFO - Epoch(train) [140][1060/1879] lr: 2.0000e-03 eta: 4:58:02 time: 0.9144 data_time: 0.0284 memory: 11089 grad_norm: 6.1255 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3051 loss: 1.3051 2022/08/04 09:00:22 - mmengine - INFO - Epoch(train) [140][1080/1879] lr: 2.0000e-03 eta: 4:57:44 time: 0.9053 data_time: 0.0267 memory: 11089 grad_norm: 5.9211 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0415 loss: 1.0415 2022/08/04 09:00:41 - mmengine - INFO - Epoch(train) [140][1100/1879] lr: 2.0000e-03 eta: 4:57:26 time: 0.9330 data_time: 0.0274 memory: 11089 grad_norm: 5.9802 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2518 loss: 1.2518 2022/08/04 09:01:00 - mmengine - INFO - Epoch(train) [140][1120/1879] lr: 2.0000e-03 eta: 4:57:08 time: 0.9433 data_time: 0.0256 memory: 11089 grad_norm: 6.0669 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1540 loss: 1.1540 2022/08/04 09:01:18 - mmengine - INFO - Epoch(train) [140][1140/1879] lr: 2.0000e-03 eta: 4:56:50 time: 0.9274 data_time: 0.0262 memory: 11089 grad_norm: 5.9616 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1602 loss: 1.1602 2022/08/04 09:01:37 - mmengine - INFO - Epoch(train) [140][1160/1879] lr: 2.0000e-03 eta: 4:56:31 time: 0.9064 data_time: 0.0257 memory: 11089 grad_norm: 6.0124 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2690 loss: 1.2690 2022/08/04 09:01:55 - mmengine - INFO - Epoch(train) [140][1180/1879] lr: 2.0000e-03 eta: 4:56:13 time: 0.9268 data_time: 0.0242 memory: 11089 grad_norm: 6.1796 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3276 loss: 1.3276 2022/08/04 09:02:14 - mmengine - INFO - Epoch(train) [140][1200/1879] lr: 2.0000e-03 eta: 4:55:55 time: 0.9372 data_time: 0.0286 memory: 11089 grad_norm: 6.0737 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0674 loss: 1.0674 2022/08/04 09:02:32 - mmengine - INFO - Epoch(train) [140][1220/1879] lr: 2.0000e-03 eta: 4:55:37 time: 0.9122 data_time: 0.0241 memory: 11089 grad_norm: 6.1165 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0693 loss: 1.0693 2022/08/04 09:02:51 - mmengine - INFO - Epoch(train) [140][1240/1879] lr: 2.0000e-03 eta: 4:55:18 time: 0.9280 data_time: 0.0271 memory: 11089 grad_norm: 6.0610 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2225 loss: 1.2225 2022/08/04 09:03:09 - mmengine - INFO - Epoch(train) [140][1260/1879] lr: 2.0000e-03 eta: 4:55:00 time: 0.9070 data_time: 0.0317 memory: 11089 grad_norm: 6.0949 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2212 loss: 1.2212 2022/08/04 09:03:28 - mmengine - INFO - Epoch(train) [140][1280/1879] lr: 2.0000e-03 eta: 4:54:42 time: 0.9447 data_time: 0.0307 memory: 11089 grad_norm: 6.0528 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0668 loss: 1.0668 2022/08/04 09:03:46 - mmengine - INFO - Epoch(train) [140][1300/1879] lr: 2.0000e-03 eta: 4:54:24 time: 0.9088 data_time: 0.0236 memory: 11089 grad_norm: 6.0118 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0565 loss: 1.0565 2022/08/04 09:04:05 - mmengine - INFO - Epoch(train) [140][1320/1879] lr: 2.0000e-03 eta: 4:54:06 time: 0.9326 data_time: 0.0270 memory: 11089 grad_norm: 6.0205 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0561 loss: 1.0561 2022/08/04 09:04:23 - mmengine - INFO - Epoch(train) [140][1340/1879] lr: 2.0000e-03 eta: 4:53:47 time: 0.9259 data_time: 0.0242 memory: 11089 grad_norm: 6.2729 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2614 loss: 1.2614 2022/08/04 09:04:41 - mmengine - INFO - Epoch(train) [140][1360/1879] lr: 2.0000e-03 eta: 4:53:29 time: 0.9189 data_time: 0.0283 memory: 11089 grad_norm: 5.9608 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0168 loss: 1.0168 2022/08/04 09:05:00 - mmengine - INFO - Epoch(train) [140][1380/1879] lr: 2.0000e-03 eta: 4:53:11 time: 0.9206 data_time: 0.0295 memory: 11089 grad_norm: 6.1846 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2395 loss: 1.2395 2022/08/04 09:05:18 - mmengine - INFO - Epoch(train) [140][1400/1879] lr: 2.0000e-03 eta: 4:52:53 time: 0.9077 data_time: 0.0226 memory: 11089 grad_norm: 5.9383 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1768 loss: 1.1768 2022/08/04 09:05:36 - mmengine - INFO - Epoch(train) [140][1420/1879] lr: 2.0000e-03 eta: 4:52:34 time: 0.9145 data_time: 0.0298 memory: 11089 grad_norm: 5.9567 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1976 loss: 1.1976 2022/08/04 09:05:55 - mmengine - INFO - Epoch(train) [140][1440/1879] lr: 2.0000e-03 eta: 4:52:16 time: 0.9232 data_time: 0.0354 memory: 11089 grad_norm: 6.2318 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2521 loss: 1.2521 2022/08/04 09:06:13 - mmengine - INFO - Epoch(train) [140][1460/1879] lr: 2.0000e-03 eta: 4:51:58 time: 0.9178 data_time: 0.0283 memory: 11089 grad_norm: 6.2622 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2448 loss: 1.2448 2022/08/04 09:06:32 - mmengine - INFO - Epoch(train) [140][1480/1879] lr: 2.0000e-03 eta: 4:51:40 time: 0.9347 data_time: 0.0336 memory: 11089 grad_norm: 6.0716 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2298 loss: 1.2298 2022/08/04 09:06:51 - mmengine - INFO - Epoch(train) [140][1500/1879] lr: 2.0000e-03 eta: 4:51:22 time: 0.9355 data_time: 0.0309 memory: 11089 grad_norm: 5.9997 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1778 loss: 1.1778 2022/08/04 09:07:10 - mmengine - INFO - Epoch(train) [140][1520/1879] lr: 2.0000e-03 eta: 4:51:03 time: 0.9482 data_time: 0.0304 memory: 11089 grad_norm: 6.1242 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2057 loss: 1.2057 2022/08/04 09:07:28 - mmengine - INFO - Epoch(train) [140][1540/1879] lr: 2.0000e-03 eta: 4:50:45 time: 0.9094 data_time: 0.0243 memory: 11089 grad_norm: 5.9683 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2982 loss: 1.2982 2022/08/04 09:07:46 - mmengine - INFO - Epoch(train) [140][1560/1879] lr: 2.0000e-03 eta: 4:50:27 time: 0.8985 data_time: 0.0243 memory: 11089 grad_norm: 6.1875 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1563 loss: 1.1563 2022/08/04 09:08:04 - mmengine - INFO - Epoch(train) [140][1580/1879] lr: 2.0000e-03 eta: 4:50:09 time: 0.9385 data_time: 0.0277 memory: 11089 grad_norm: 6.1491 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1073 loss: 1.1073 2022/08/04 09:08:23 - mmengine - INFO - Epoch(train) [140][1600/1879] lr: 2.0000e-03 eta: 4:49:50 time: 0.9056 data_time: 0.0281 memory: 11089 grad_norm: 6.0304 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1066 loss: 1.1066 2022/08/04 09:08:42 - mmengine - INFO - Epoch(train) [140][1620/1879] lr: 2.0000e-03 eta: 4:49:32 time: 0.9385 data_time: 0.0271 memory: 11089 grad_norm: 6.0301 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2690 loss: 1.2690 2022/08/04 09:09:00 - mmengine - INFO - Epoch(train) [140][1640/1879] lr: 2.0000e-03 eta: 4:49:14 time: 0.9461 data_time: 0.0339 memory: 11089 grad_norm: 6.1267 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2593 loss: 1.2593 2022/08/04 09:09:19 - mmengine - INFO - Epoch(train) [140][1660/1879] lr: 2.0000e-03 eta: 4:48:56 time: 0.9336 data_time: 0.0363 memory: 11089 grad_norm: 6.0891 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2731 loss: 1.2731 2022/08/04 09:09:38 - mmengine - INFO - Epoch(train) [140][1680/1879] lr: 2.0000e-03 eta: 4:48:38 time: 0.9302 data_time: 0.0238 memory: 11089 grad_norm: 5.8635 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1621 loss: 1.1621 2022/08/04 09:09:56 - mmengine - INFO - Epoch(train) [140][1700/1879] lr: 2.0000e-03 eta: 4:48:19 time: 0.9271 data_time: 0.0256 memory: 11089 grad_norm: 6.0656 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2282 loss: 1.2282 2022/08/04 09:10:14 - mmengine - INFO - Epoch(train) [140][1720/1879] lr: 2.0000e-03 eta: 4:48:01 time: 0.9017 data_time: 0.0238 memory: 11089 grad_norm: 5.9403 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2198 loss: 1.2198 2022/08/04 09:10:33 - mmengine - INFO - Epoch(train) [140][1740/1879] lr: 2.0000e-03 eta: 4:47:43 time: 0.9184 data_time: 0.0290 memory: 11089 grad_norm: 6.0442 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3302 loss: 1.3302 2022/08/04 09:10:51 - mmengine - INFO - Epoch(train) [140][1760/1879] lr: 2.0000e-03 eta: 4:47:25 time: 0.9138 data_time: 0.0264 memory: 11089 grad_norm: 6.1101 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0934 loss: 1.0934 2022/08/04 09:11:10 - mmengine - INFO - Epoch(train) [140][1780/1879] lr: 2.0000e-03 eta: 4:47:06 time: 0.9487 data_time: 0.0408 memory: 11089 grad_norm: 6.0540 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1283 loss: 1.1283 2022/08/04 09:11:28 - mmengine - INFO - Epoch(train) [140][1800/1879] lr: 2.0000e-03 eta: 4:46:48 time: 0.9068 data_time: 0.0271 memory: 11089 grad_norm: 6.3161 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2749 loss: 1.2749 2022/08/04 09:11:45 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 09:11:46 - mmengine - INFO - Epoch(train) [140][1820/1879] lr: 2.0000e-03 eta: 4:46:30 time: 0.9149 data_time: 0.0265 memory: 11089 grad_norm: 5.9802 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9804 loss: 0.9804 2022/08/04 09:12:05 - mmengine - INFO - Epoch(train) [140][1840/1879] lr: 2.0000e-03 eta: 4:46:12 time: 0.9192 data_time: 0.0303 memory: 11089 grad_norm: 6.0118 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0820 loss: 1.0820 2022/08/04 09:12:23 - mmengine - INFO - Epoch(train) [140][1860/1879] lr: 2.0000e-03 eta: 4:45:54 time: 0.9093 data_time: 0.0259 memory: 11089 grad_norm: 5.9912 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1786 loss: 1.1786 2022/08/04 09:12:40 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 09:12:40 - mmengine - INFO - Epoch(train) [140][1879/1879] lr: 2.0000e-03 eta: 4:45:54 time: 0.8819 data_time: 0.0226 memory: 11089 grad_norm: 6.2747 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.2586 loss: 1.2586 2022/08/04 09:12:40 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/08/04 09:12:52 - mmengine - INFO - Epoch(val) [140][20/155] eta: 0:01:10 time: 0.5208 data_time: 0.2104 memory: 1950 2022/08/04 09:12:59 - mmengine - INFO - Epoch(val) [140][40/155] eta: 0:00:39 time: 0.3419 data_time: 0.0239 memory: 1950 2022/08/04 09:13:06 - mmengine - INFO - Epoch(val) [140][60/155] eta: 0:00:31 time: 0.3301 data_time: 0.0114 memory: 1950 2022/08/04 09:13:12 - mmengine - INFO - Epoch(val) [140][80/155] eta: 0:00:24 time: 0.3260 data_time: 0.0123 memory: 1950 2022/08/04 09:13:19 - mmengine - INFO - Epoch(val) [140][100/155] eta: 0:00:18 time: 0.3285 data_time: 0.0128 memory: 1950 2022/08/04 09:13:26 - mmengine - INFO - Epoch(val) [140][120/155] eta: 0:00:12 time: 0.3628 data_time: 0.0101 memory: 1950 2022/08/04 09:13:34 - mmengine - INFO - Epoch(val) [140][140/155] eta: 0:00:05 time: 0.3718 data_time: 0.0098 memory: 1950 2022/08/04 09:13:41 - mmengine - INFO - Epoch(val) [140][155/155] acc/top1: 0.6881 acc/top5: 0.8802 acc/mean1: 0.6879 2022/08/04 09:14:01 - mmengine - INFO - Epoch(train) [141][20/1879] lr: 2.0000e-04 eta: 4:45:17 time: 0.9925 data_time: 0.1200 memory: 11089 grad_norm: 5.7621 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0990 loss: 1.0990 2022/08/04 09:14:19 - mmengine - INFO - Epoch(train) [141][40/1879] lr: 2.0000e-04 eta: 4:44:59 time: 0.9019 data_time: 0.0270 memory: 11089 grad_norm: 6.1527 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1020 loss: 1.1020 2022/08/04 09:14:37 - mmengine - INFO - Epoch(train) [141][60/1879] lr: 2.0000e-04 eta: 4:44:40 time: 0.8946 data_time: 0.0244 memory: 11089 grad_norm: 5.9774 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2611 loss: 1.2611 2022/08/04 09:14:55 - mmengine - INFO - Epoch(train) [141][80/1879] lr: 2.0000e-04 eta: 4:44:22 time: 0.9243 data_time: 0.0237 memory: 11089 grad_norm: 5.9386 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1001 loss: 1.1001 2022/08/04 09:15:14 - mmengine - INFO - Epoch(train) [141][100/1879] lr: 2.0000e-04 eta: 4:44:04 time: 0.9062 data_time: 0.0220 memory: 11089 grad_norm: 5.8074 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0983 loss: 1.0983 2022/08/04 09:15:32 - mmengine - INFO - Epoch(train) [141][120/1879] lr: 2.0000e-04 eta: 4:43:46 time: 0.9333 data_time: 0.0283 memory: 11089 grad_norm: 6.1449 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0182 loss: 1.0182 2022/08/04 09:15:51 - mmengine - INFO - Epoch(train) [141][140/1879] lr: 2.0000e-04 eta: 4:43:27 time: 0.9321 data_time: 0.0259 memory: 11089 grad_norm: 6.0992 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2307 loss: 1.2307 2022/08/04 09:16:09 - mmengine - INFO - Epoch(train) [141][160/1879] lr: 2.0000e-04 eta: 4:43:09 time: 0.9299 data_time: 0.0252 memory: 11089 grad_norm: 6.0902 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3184 loss: 1.3184 2022/08/04 09:16:28 - mmengine - INFO - Epoch(train) [141][180/1879] lr: 2.0000e-04 eta: 4:42:51 time: 0.9106 data_time: 0.0289 memory: 11089 grad_norm: 6.0468 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1760 loss: 1.1760 2022/08/04 09:16:46 - mmengine - INFO - Epoch(train) [141][200/1879] lr: 2.0000e-04 eta: 4:42:33 time: 0.9106 data_time: 0.0247 memory: 11089 grad_norm: 6.1558 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0052 loss: 1.0052 2022/08/04 09:17:04 - mmengine - INFO - Epoch(train) [141][220/1879] lr: 2.0000e-04 eta: 4:42:14 time: 0.9200 data_time: 0.0246 memory: 11089 grad_norm: 5.9640 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2356 loss: 1.2356 2022/08/04 09:17:23 - mmengine - INFO - Epoch(train) [141][240/1879] lr: 2.0000e-04 eta: 4:41:56 time: 0.9202 data_time: 0.0286 memory: 11089 grad_norm: 6.0146 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2797 loss: 1.2797 2022/08/04 09:17:41 - mmengine - INFO - Epoch(train) [141][260/1879] lr: 2.0000e-04 eta: 4:41:38 time: 0.9076 data_time: 0.0234 memory: 11089 grad_norm: 5.9210 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2525 loss: 1.2525 2022/08/04 09:17:59 - mmengine - INFO - Epoch(train) [141][280/1879] lr: 2.0000e-04 eta: 4:41:20 time: 0.9254 data_time: 0.0260 memory: 11089 grad_norm: 6.1492 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2219 loss: 1.2219 2022/08/04 09:18:18 - mmengine - INFO - Epoch(train) [141][300/1879] lr: 2.0000e-04 eta: 4:41:02 time: 0.9295 data_time: 0.0263 memory: 11089 grad_norm: 5.7926 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1194 loss: 1.1194 2022/08/04 09:18:37 - mmengine - INFO - Epoch(train) [141][320/1879] lr: 2.0000e-04 eta: 4:40:43 time: 0.9437 data_time: 0.0269 memory: 11089 grad_norm: 5.8002 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2195 loss: 1.2195 2022/08/04 09:18:55 - mmengine - INFO - Epoch(train) [141][340/1879] lr: 2.0000e-04 eta: 4:40:25 time: 0.9201 data_time: 0.0226 memory: 11089 grad_norm: 6.0183 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2684 loss: 1.2684 2022/08/04 09:19:14 - mmengine - INFO - Epoch(train) [141][360/1879] lr: 2.0000e-04 eta: 4:40:07 time: 0.9146 data_time: 0.0282 memory: 11089 grad_norm: 5.9308 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2147 loss: 1.2147 2022/08/04 09:19:32 - mmengine - INFO - Epoch(train) [141][380/1879] lr: 2.0000e-04 eta: 4:39:49 time: 0.9267 data_time: 0.0270 memory: 11089 grad_norm: 5.8285 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1223 loss: 1.1223 2022/08/04 09:19:51 - mmengine - INFO - Epoch(train) [141][400/1879] lr: 2.0000e-04 eta: 4:39:30 time: 0.9265 data_time: 0.0250 memory: 11089 grad_norm: 6.0966 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3949 loss: 1.3949 2022/08/04 09:20:09 - mmengine - INFO - Epoch(train) [141][420/1879] lr: 2.0000e-04 eta: 4:39:12 time: 0.9290 data_time: 0.0283 memory: 11089 grad_norm: 5.8077 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2244 loss: 1.2244 2022/08/04 09:20:28 - mmengine - INFO - Epoch(train) [141][440/1879] lr: 2.0000e-04 eta: 4:38:54 time: 0.9187 data_time: 0.0285 memory: 11089 grad_norm: 5.9855 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1127 loss: 1.1127 2022/08/04 09:20:46 - mmengine - INFO - Epoch(train) [141][460/1879] lr: 2.0000e-04 eta: 4:38:36 time: 0.9143 data_time: 0.0261 memory: 11089 grad_norm: 5.9591 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1298 loss: 1.1298 2022/08/04 09:21:04 - mmengine - INFO - Epoch(train) [141][480/1879] lr: 2.0000e-04 eta: 4:38:18 time: 0.9248 data_time: 0.0350 memory: 11089 grad_norm: 5.8061 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1685 loss: 1.1685 2022/08/04 09:21:23 - mmengine - INFO - Epoch(train) [141][500/1879] lr: 2.0000e-04 eta: 4:37:59 time: 0.9198 data_time: 0.0276 memory: 11089 grad_norm: 6.0630 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1209 loss: 1.1209 2022/08/04 09:21:42 - mmengine - INFO - Epoch(train) [141][520/1879] lr: 2.0000e-04 eta: 4:37:41 time: 0.9349 data_time: 0.0342 memory: 11089 grad_norm: 6.0200 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0880 loss: 1.0880 2022/08/04 09:22:00 - mmengine - INFO - Epoch(train) [141][540/1879] lr: 2.0000e-04 eta: 4:37:23 time: 0.9229 data_time: 0.0339 memory: 11089 grad_norm: 5.7794 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2607 loss: 1.2607 2022/08/04 09:22:19 - mmengine - INFO - Epoch(train) [141][560/1879] lr: 2.0000e-04 eta: 4:37:05 time: 0.9460 data_time: 0.0281 memory: 11089 grad_norm: 5.9797 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1033 loss: 1.1033 2022/08/04 09:22:37 - mmengine - INFO - Epoch(train) [141][580/1879] lr: 2.0000e-04 eta: 4:36:46 time: 0.9101 data_time: 0.0233 memory: 11089 grad_norm: 6.0674 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0551 loss: 1.0551 2022/08/04 09:22:55 - mmengine - INFO - Epoch(train) [141][600/1879] lr: 2.0000e-04 eta: 4:36:28 time: 0.8937 data_time: 0.0264 memory: 11089 grad_norm: 5.9841 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2515 loss: 1.2515 2022/08/04 09:23:13 - mmengine - INFO - Epoch(train) [141][620/1879] lr: 2.0000e-04 eta: 4:36:10 time: 0.8992 data_time: 0.0232 memory: 11089 grad_norm: 5.9282 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2022 loss: 1.2022 2022/08/04 09:23:32 - mmengine - INFO - Epoch(train) [141][640/1879] lr: 2.0000e-04 eta: 4:35:52 time: 0.9310 data_time: 0.0293 memory: 11089 grad_norm: 5.9643 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1689 loss: 1.1689 2022/08/04 09:23:50 - mmengine - INFO - Epoch(train) [141][660/1879] lr: 2.0000e-04 eta: 4:35:34 time: 0.9184 data_time: 0.0227 memory: 11089 grad_norm: 5.7058 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0873 loss: 1.0873 2022/08/04 09:24:08 - mmengine - INFO - Epoch(train) [141][680/1879] lr: 2.0000e-04 eta: 4:35:15 time: 0.8935 data_time: 0.0229 memory: 11089 grad_norm: 5.9349 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0395 loss: 1.0395 2022/08/04 09:24:26 - mmengine - INFO - Epoch(train) [141][700/1879] lr: 2.0000e-04 eta: 4:34:57 time: 0.9137 data_time: 0.0260 memory: 11089 grad_norm: 6.1543 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2802 loss: 1.2802 2022/08/04 09:24:45 - mmengine - INFO - Epoch(train) [141][720/1879] lr: 2.0000e-04 eta: 4:34:39 time: 0.9184 data_time: 0.0260 memory: 11089 grad_norm: 5.9612 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1679 loss: 1.1679 2022/08/04 09:25:03 - mmengine - INFO - Epoch(train) [141][740/1879] lr: 2.0000e-04 eta: 4:34:21 time: 0.9150 data_time: 0.0330 memory: 11089 grad_norm: 5.9667 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2577 loss: 1.2577 2022/08/04 09:25:21 - mmengine - INFO - Epoch(train) [141][760/1879] lr: 2.0000e-04 eta: 4:34:02 time: 0.8974 data_time: 0.0252 memory: 11089 grad_norm: 6.0331 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0754 loss: 1.0754 2022/08/04 09:25:39 - mmengine - INFO - Epoch(train) [141][780/1879] lr: 2.0000e-04 eta: 4:33:44 time: 0.9232 data_time: 0.0255 memory: 11089 grad_norm: 6.0940 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1014 loss: 1.1014 2022/08/04 09:25:58 - mmengine - INFO - Epoch(train) [141][800/1879] lr: 2.0000e-04 eta: 4:33:26 time: 0.9226 data_time: 0.0271 memory: 11089 grad_norm: 6.0115 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1775 loss: 1.1775 2022/08/04 09:26:16 - mmengine - INFO - Epoch(train) [141][820/1879] lr: 2.0000e-04 eta: 4:33:08 time: 0.8994 data_time: 0.0205 memory: 11089 grad_norm: 6.0154 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2986 loss: 1.2986 2022/08/04 09:26:34 - mmengine - INFO - Epoch(train) [141][840/1879] lr: 2.0000e-04 eta: 4:32:49 time: 0.9027 data_time: 0.0232 memory: 11089 grad_norm: 6.0140 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1797 loss: 1.1797 2022/08/04 09:26:53 - mmengine - INFO - Epoch(train) [141][860/1879] lr: 2.0000e-04 eta: 4:32:31 time: 0.9325 data_time: 0.0238 memory: 11089 grad_norm: 5.9555 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2002 loss: 1.2002 2022/08/04 09:27:11 - mmengine - INFO - Epoch(train) [141][880/1879] lr: 2.0000e-04 eta: 4:32:13 time: 0.9440 data_time: 0.0368 memory: 11089 grad_norm: 6.0233 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.2410 loss: 1.2410 2022/08/04 09:27:30 - mmengine - INFO - Epoch(train) [141][900/1879] lr: 2.0000e-04 eta: 4:31:55 time: 0.9248 data_time: 0.0298 memory: 11089 grad_norm: 5.9076 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1849 loss: 1.1849 2022/08/04 09:27:49 - mmengine - INFO - Epoch(train) [141][920/1879] lr: 2.0000e-04 eta: 4:31:37 time: 0.9393 data_time: 0.0323 memory: 11089 grad_norm: 6.0888 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1987 loss: 1.1987 2022/08/04 09:28:07 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 09:28:07 - mmengine - INFO - Epoch(train) [141][940/1879] lr: 2.0000e-04 eta: 4:31:18 time: 0.9086 data_time: 0.0234 memory: 11089 grad_norm: 6.0332 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1015 loss: 1.1015 2022/08/04 09:28:25 - mmengine - INFO - Epoch(train) [141][960/1879] lr: 2.0000e-04 eta: 4:31:00 time: 0.9207 data_time: 0.0245 memory: 11089 grad_norm: 5.7995 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1544 loss: 1.1544 2022/08/04 09:28:43 - mmengine - INFO - Epoch(train) [141][980/1879] lr: 2.0000e-04 eta: 4:30:42 time: 0.9101 data_time: 0.0298 memory: 11089 grad_norm: 6.0674 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4138 loss: 1.4138 2022/08/04 09:29:02 - mmengine - INFO - Epoch(train) [141][1000/1879] lr: 2.0000e-04 eta: 4:30:24 time: 0.9430 data_time: 0.0368 memory: 11089 grad_norm: 5.9443 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0732 loss: 1.0732 2022/08/04 09:29:21 - mmengine - INFO - Epoch(train) [141][1020/1879] lr: 2.0000e-04 eta: 4:30:05 time: 0.9447 data_time: 0.0351 memory: 11089 grad_norm: 6.1557 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1650 loss: 1.1650 2022/08/04 09:29:40 - mmengine - INFO - Epoch(train) [141][1040/1879] lr: 2.0000e-04 eta: 4:29:47 time: 0.9236 data_time: 0.0227 memory: 11089 grad_norm: 6.1127 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0495 loss: 1.0495 2022/08/04 09:29:58 - mmengine - INFO - Epoch(train) [141][1060/1879] lr: 2.0000e-04 eta: 4:29:29 time: 0.9376 data_time: 0.0253 memory: 11089 grad_norm: 5.9627 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0928 loss: 1.0928 2022/08/04 09:30:17 - mmengine - INFO - Epoch(train) [141][1080/1879] lr: 2.0000e-04 eta: 4:29:11 time: 0.9384 data_time: 0.0262 memory: 11089 grad_norm: 6.1487 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1766 loss: 1.1766 2022/08/04 09:30:36 - mmengine - INFO - Epoch(train) [141][1100/1879] lr: 2.0000e-04 eta: 4:28:53 time: 0.9325 data_time: 0.0328 memory: 11089 grad_norm: 5.8448 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.1558 loss: 1.1558 2022/08/04 09:30:54 - mmengine - INFO - Epoch(train) [141][1120/1879] lr: 2.0000e-04 eta: 4:28:34 time: 0.9141 data_time: 0.0308 memory: 11089 grad_norm: 6.2065 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1746 loss: 1.1746 2022/08/04 09:31:13 - mmengine - INFO - Epoch(train) [141][1140/1879] lr: 2.0000e-04 eta: 4:28:16 time: 0.9242 data_time: 0.0279 memory: 11089 grad_norm: 5.9472 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2273 loss: 1.2273 2022/08/04 09:31:31 - mmengine - INFO - Epoch(train) [141][1160/1879] lr: 2.0000e-04 eta: 4:27:58 time: 0.9306 data_time: 0.0243 memory: 11089 grad_norm: 6.0178 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.1944 loss: 1.1944 2022/08/04 09:31:50 - mmengine - INFO - Epoch(train) [141][1180/1879] lr: 2.0000e-04 eta: 4:27:40 time: 0.9224 data_time: 0.0283 memory: 11089 grad_norm: 6.0871 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1246 loss: 1.1246 2022/08/04 09:32:08 - mmengine - INFO - Epoch(train) [141][1200/1879] lr: 2.0000e-04 eta: 4:27:21 time: 0.9145 data_time: 0.0278 memory: 11089 grad_norm: 6.0009 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9930 loss: 0.9930 2022/08/04 09:32:26 - mmengine - INFO - Epoch(train) [141][1220/1879] lr: 2.0000e-04 eta: 4:27:03 time: 0.9148 data_time: 0.0296 memory: 11089 grad_norm: 5.7721 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1103 loss: 1.1103 2022/08/04 09:32:45 - mmengine - INFO - Epoch(train) [141][1240/1879] lr: 2.0000e-04 eta: 4:26:45 time: 0.9146 data_time: 0.0349 memory: 11089 grad_norm: 5.9801 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3698 loss: 1.3698 2022/08/04 09:33:03 - mmengine - INFO - Epoch(train) [141][1260/1879] lr: 2.0000e-04 eta: 4:26:27 time: 0.9302 data_time: 0.0229 memory: 11089 grad_norm: 5.7756 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0572 loss: 1.0572 2022/08/04 09:33:22 - mmengine - INFO - Epoch(train) [141][1280/1879] lr: 2.0000e-04 eta: 4:26:08 time: 0.9171 data_time: 0.0277 memory: 11089 grad_norm: 5.9273 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0446 loss: 1.0446 2022/08/04 09:33:40 - mmengine - INFO - Epoch(train) [141][1300/1879] lr: 2.0000e-04 eta: 4:25:50 time: 0.9370 data_time: 0.0231 memory: 11089 grad_norm: 6.2556 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1527 loss: 1.1527 2022/08/04 09:33:59 - mmengine - INFO - Epoch(train) [141][1320/1879] lr: 2.0000e-04 eta: 4:25:32 time: 0.9091 data_time: 0.0238 memory: 11089 grad_norm: 5.8717 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1925 loss: 1.1925 2022/08/04 09:34:17 - mmengine - INFO - Epoch(train) [141][1340/1879] lr: 2.0000e-04 eta: 4:25:14 time: 0.9046 data_time: 0.0240 memory: 11089 grad_norm: 5.8508 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2992 loss: 1.2992 2022/08/04 09:34:35 - mmengine - INFO - Epoch(train) [141][1360/1879] lr: 2.0000e-04 eta: 4:24:56 time: 0.9147 data_time: 0.0299 memory: 11089 grad_norm: 5.9607 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1287 loss: 1.1287 2022/08/04 09:34:53 - mmengine - INFO - Epoch(train) [141][1380/1879] lr: 2.0000e-04 eta: 4:24:37 time: 0.9218 data_time: 0.0227 memory: 11089 grad_norm: 5.8719 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1065 loss: 1.1065 2022/08/04 09:35:12 - mmengine - INFO - Epoch(train) [141][1400/1879] lr: 2.0000e-04 eta: 4:24:19 time: 0.9233 data_time: 0.0329 memory: 11089 grad_norm: 5.8720 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9752 loss: 0.9752 2022/08/04 09:35:31 - mmengine - INFO - Epoch(train) [141][1420/1879] lr: 2.0000e-04 eta: 4:24:01 time: 0.9334 data_time: 0.0248 memory: 11089 grad_norm: 5.7892 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1451 loss: 1.1451 2022/08/04 09:35:49 - mmengine - INFO - Epoch(train) [141][1440/1879] lr: 2.0000e-04 eta: 4:23:43 time: 0.9353 data_time: 0.0348 memory: 11089 grad_norm: 6.1286 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1799 loss: 1.1799 2022/08/04 09:36:08 - mmengine - INFO - Epoch(train) [141][1460/1879] lr: 2.0000e-04 eta: 4:23:24 time: 0.9490 data_time: 0.0279 memory: 11089 grad_norm: 5.8710 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2903 loss: 1.2903 2022/08/04 09:36:27 - mmengine - INFO - Epoch(train) [141][1480/1879] lr: 2.0000e-04 eta: 4:23:06 time: 0.9212 data_time: 0.0211 memory: 11089 grad_norm: 6.1101 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2562 loss: 1.2562 2022/08/04 09:36:45 - mmengine - INFO - Epoch(train) [141][1500/1879] lr: 2.0000e-04 eta: 4:22:48 time: 0.9287 data_time: 0.0244 memory: 11089 grad_norm: 5.8351 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1240 loss: 1.1240 2022/08/04 09:37:04 - mmengine - INFO - Epoch(train) [141][1520/1879] lr: 2.0000e-04 eta: 4:22:30 time: 0.9265 data_time: 0.0305 memory: 11089 grad_norm: 5.8978 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1077 loss: 1.1077 2022/08/04 09:37:23 - mmengine - INFO - Epoch(train) [141][1540/1879] lr: 2.0000e-04 eta: 4:22:12 time: 0.9378 data_time: 0.0271 memory: 11089 grad_norm: 6.0021 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0918 loss: 1.0918 2022/08/04 09:37:41 - mmengine - INFO - Epoch(train) [141][1560/1879] lr: 2.0000e-04 eta: 4:21:53 time: 0.9227 data_time: 0.0249 memory: 11089 grad_norm: 5.8059 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0166 loss: 1.0166 2022/08/04 09:38:00 - mmengine - INFO - Epoch(train) [141][1580/1879] lr: 2.0000e-04 eta: 4:21:35 time: 0.9521 data_time: 0.0262 memory: 11089 grad_norm: 6.0553 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0614 loss: 1.0614 2022/08/04 09:38:19 - mmengine - INFO - Epoch(train) [141][1600/1879] lr: 2.0000e-04 eta: 4:21:17 time: 0.9383 data_time: 0.0235 memory: 11089 grad_norm: 5.9693 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0235 loss: 1.0235 2022/08/04 09:38:37 - mmengine - INFO - Epoch(train) [141][1620/1879] lr: 2.0000e-04 eta: 4:20:59 time: 0.9271 data_time: 0.0273 memory: 11089 grad_norm: 6.0834 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1712 loss: 1.1712 2022/08/04 09:38:56 - mmengine - INFO - Epoch(train) [141][1640/1879] lr: 2.0000e-04 eta: 4:20:41 time: 0.9138 data_time: 0.0263 memory: 11089 grad_norm: 6.0046 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0391 loss: 1.0391 2022/08/04 09:39:14 - mmengine - INFO - Epoch(train) [141][1660/1879] lr: 2.0000e-04 eta: 4:20:22 time: 0.9172 data_time: 0.0270 memory: 11089 grad_norm: 5.8836 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1113 loss: 1.1113 2022/08/04 09:39:32 - mmengine - INFO - Epoch(train) [141][1680/1879] lr: 2.0000e-04 eta: 4:20:04 time: 0.9244 data_time: 0.0252 memory: 11089 grad_norm: 5.7990 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0569 loss: 1.0569 2022/08/04 09:39:51 - mmengine - INFO - Epoch(train) [141][1700/1879] lr: 2.0000e-04 eta: 4:19:46 time: 0.9023 data_time: 0.0213 memory: 11089 grad_norm: 5.9871 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0536 loss: 1.0536 2022/08/04 09:40:10 - mmengine - INFO - Epoch(train) [141][1720/1879] lr: 2.0000e-04 eta: 4:19:28 time: 0.9500 data_time: 0.0284 memory: 11089 grad_norm: 5.7902 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1119 loss: 1.1119 2022/08/04 09:40:28 - mmengine - INFO - Epoch(train) [141][1740/1879] lr: 2.0000e-04 eta: 4:19:09 time: 0.9254 data_time: 0.0272 memory: 11089 grad_norm: 6.1474 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9840 loss: 0.9840 2022/08/04 09:40:46 - mmengine - INFO - Epoch(train) [141][1760/1879] lr: 2.0000e-04 eta: 4:18:51 time: 0.9191 data_time: 0.0228 memory: 11089 grad_norm: 5.9618 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8659 loss: 0.8659 2022/08/04 09:41:05 - mmengine - INFO - Epoch(train) [141][1780/1879] lr: 2.0000e-04 eta: 4:18:33 time: 0.9229 data_time: 0.0263 memory: 11089 grad_norm: 5.9076 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0380 loss: 1.0380 2022/08/04 09:41:24 - mmengine - INFO - Epoch(train) [141][1800/1879] lr: 2.0000e-04 eta: 4:18:15 time: 0.9417 data_time: 0.0281 memory: 11089 grad_norm: 5.9536 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2630 loss: 1.2630 2022/08/04 09:41:42 - mmengine - INFO - Epoch(train) [141][1820/1879] lr: 2.0000e-04 eta: 4:17:57 time: 0.9321 data_time: 0.0263 memory: 11089 grad_norm: 5.8699 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0709 loss: 1.0709 2022/08/04 09:42:01 - mmengine - INFO - Epoch(train) [141][1840/1879] lr: 2.0000e-04 eta: 4:17:38 time: 0.9381 data_time: 0.0307 memory: 11089 grad_norm: 5.9428 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1566 loss: 1.1566 2022/08/04 09:42:20 - mmengine - INFO - Epoch(train) [141][1860/1879] lr: 2.0000e-04 eta: 4:17:20 time: 0.9306 data_time: 0.0268 memory: 11089 grad_norm: 5.9707 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2786 loss: 1.2786 2022/08/04 09:42:37 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 09:42:37 - mmengine - INFO - Epoch(train) [141][1879/1879] lr: 2.0000e-04 eta: 4:17:20 time: 0.8996 data_time: 0.0308 memory: 11089 grad_norm: 6.2826 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.1906 loss: 1.1906 2022/08/04 09:42:57 - mmengine - INFO - Epoch(train) [142][20/1879] lr: 2.0000e-04 eta: 4:16:44 time: 1.0027 data_time: 0.1265 memory: 11089 grad_norm: 5.9765 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0921 loss: 1.0921 2022/08/04 09:43:15 - mmengine - INFO - Epoch(train) [142][40/1879] lr: 2.0000e-04 eta: 4:16:25 time: 0.9168 data_time: 0.0321 memory: 11089 grad_norm: 5.7898 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1327 loss: 1.1327 2022/08/04 09:43:33 - mmengine - INFO - Epoch(train) [142][60/1879] lr: 2.0000e-04 eta: 4:16:07 time: 0.9012 data_time: 0.0250 memory: 11089 grad_norm: 5.8685 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2401 loss: 1.2401 2022/08/04 09:43:34 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 09:43:52 - mmengine - INFO - Epoch(train) [142][80/1879] lr: 2.0000e-04 eta: 4:15:49 time: 0.9433 data_time: 0.0346 memory: 11089 grad_norm: 6.0487 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2061 loss: 1.2061 2022/08/04 09:44:11 - mmengine - INFO - Epoch(train) [142][100/1879] lr: 2.0000e-04 eta: 4:15:31 time: 0.9283 data_time: 0.0284 memory: 11089 grad_norm: 5.9711 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2818 loss: 1.2818 2022/08/04 09:44:30 - mmengine - INFO - Epoch(train) [142][120/1879] lr: 2.0000e-04 eta: 4:15:12 time: 0.9497 data_time: 0.0360 memory: 11089 grad_norm: 5.8577 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0458 loss: 1.0458 2022/08/04 09:44:49 - mmengine - INFO - Epoch(train) [142][140/1879] lr: 2.0000e-04 eta: 4:14:54 time: 0.9458 data_time: 0.0331 memory: 11089 grad_norm: 6.1186 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0162 loss: 1.0162 2022/08/04 09:45:08 - mmengine - INFO - Epoch(train) [142][160/1879] lr: 2.0000e-04 eta: 4:14:36 time: 0.9350 data_time: 0.0280 memory: 11089 grad_norm: 6.0451 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0550 loss: 1.0550 2022/08/04 09:45:26 - mmengine - INFO - Epoch(train) [142][180/1879] lr: 2.0000e-04 eta: 4:14:18 time: 0.9172 data_time: 0.0295 memory: 11089 grad_norm: 5.9383 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1618 loss: 1.1618 2022/08/04 09:45:45 - mmengine - INFO - Epoch(train) [142][200/1879] lr: 2.0000e-04 eta: 4:14:00 time: 0.9430 data_time: 0.0334 memory: 11089 grad_norm: 6.0139 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1882 loss: 1.1882 2022/08/04 09:46:03 - mmengine - INFO - Epoch(train) [142][220/1879] lr: 2.0000e-04 eta: 4:13:41 time: 0.9082 data_time: 0.0288 memory: 11089 grad_norm: 5.8940 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.0935 loss: 1.0935 2022/08/04 09:46:22 - mmengine - INFO - Epoch(train) [142][240/1879] lr: 2.0000e-04 eta: 4:13:23 time: 0.9261 data_time: 0.0254 memory: 11089 grad_norm: 5.8796 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0755 loss: 1.0755 2022/08/04 09:46:40 - mmengine - INFO - Epoch(train) [142][260/1879] lr: 2.0000e-04 eta: 4:13:05 time: 0.9077 data_time: 0.0227 memory: 11089 grad_norm: 5.8825 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1356 loss: 1.1356 2022/08/04 09:46:58 - mmengine - INFO - Epoch(train) [142][280/1879] lr: 2.0000e-04 eta: 4:12:47 time: 0.9318 data_time: 0.0297 memory: 11089 grad_norm: 5.9706 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8658 loss: 0.8658 2022/08/04 09:47:16 - mmengine - INFO - Epoch(train) [142][300/1879] lr: 2.0000e-04 eta: 4:12:28 time: 0.9067 data_time: 0.0315 memory: 11089 grad_norm: 6.1041 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0854 loss: 1.0854 2022/08/04 09:47:35 - mmengine - INFO - Epoch(train) [142][320/1879] lr: 2.0000e-04 eta: 4:12:10 time: 0.9211 data_time: 0.0261 memory: 11089 grad_norm: 5.9147 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1692 loss: 1.1692 2022/08/04 09:47:54 - mmengine - INFO - Epoch(train) [142][340/1879] lr: 2.0000e-04 eta: 4:11:52 time: 0.9564 data_time: 0.0342 memory: 11089 grad_norm: 5.9019 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1054 loss: 1.1054 2022/08/04 09:48:12 - mmengine - INFO - Epoch(train) [142][360/1879] lr: 2.0000e-04 eta: 4:11:34 time: 0.9092 data_time: 0.0214 memory: 11089 grad_norm: 5.9899 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1477 loss: 1.1477 2022/08/04 09:48:31 - mmengine - INFO - Epoch(train) [142][380/1879] lr: 2.0000e-04 eta: 4:11:16 time: 0.9441 data_time: 0.0237 memory: 11089 grad_norm: 6.0663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0345 loss: 1.0345 2022/08/04 09:48:50 - mmengine - INFO - Epoch(train) [142][400/1879] lr: 2.0000e-04 eta: 4:10:57 time: 0.9372 data_time: 0.0321 memory: 11089 grad_norm: 6.1142 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2338 loss: 1.2338 2022/08/04 09:49:08 - mmengine - INFO - Epoch(train) [142][420/1879] lr: 2.0000e-04 eta: 4:10:39 time: 0.9234 data_time: 0.0207 memory: 11089 grad_norm: 5.8042 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0220 loss: 1.0220 2022/08/04 09:49:27 - mmengine - INFO - Epoch(train) [142][440/1879] lr: 2.0000e-04 eta: 4:10:21 time: 0.9227 data_time: 0.0262 memory: 11089 grad_norm: 5.9282 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1516 loss: 1.1516 2022/08/04 09:49:46 - mmengine - INFO - Epoch(train) [142][460/1879] lr: 2.0000e-04 eta: 4:10:03 time: 0.9476 data_time: 0.0381 memory: 11089 grad_norm: 5.7752 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9484 loss: 0.9484 2022/08/04 09:50:04 - mmengine - INFO - Epoch(train) [142][480/1879] lr: 2.0000e-04 eta: 4:09:45 time: 0.9196 data_time: 0.0273 memory: 11089 grad_norm: 6.0106 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1371 loss: 1.1371 2022/08/04 09:50:23 - mmengine - INFO - Epoch(train) [142][500/1879] lr: 2.0000e-04 eta: 4:09:26 time: 0.9298 data_time: 0.0253 memory: 11089 grad_norm: 5.9087 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0526 loss: 1.0526 2022/08/04 09:50:41 - mmengine - INFO - Epoch(train) [142][520/1879] lr: 2.0000e-04 eta: 4:09:08 time: 0.9205 data_time: 0.0251 memory: 11089 grad_norm: 5.8544 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1050 loss: 1.1050 2022/08/04 09:50:59 - mmengine - INFO - Epoch(train) [142][540/1879] lr: 2.0000e-04 eta: 4:08:50 time: 0.9169 data_time: 0.0247 memory: 11089 grad_norm: 6.0408 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0846 loss: 1.0846 2022/08/04 09:51:18 - mmengine - INFO - Epoch(train) [142][560/1879] lr: 2.0000e-04 eta: 4:08:32 time: 0.9101 data_time: 0.0224 memory: 11089 grad_norm: 5.9701 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2061 loss: 1.2061 2022/08/04 09:51:36 - mmengine - INFO - Epoch(train) [142][580/1879] lr: 2.0000e-04 eta: 4:08:13 time: 0.9261 data_time: 0.0299 memory: 11089 grad_norm: 5.8695 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1585 loss: 1.1585 2022/08/04 09:51:54 - mmengine - INFO - Epoch(train) [142][600/1879] lr: 2.0000e-04 eta: 4:07:55 time: 0.9017 data_time: 0.0247 memory: 11089 grad_norm: 5.9312 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3067 loss: 1.3067 2022/08/04 09:52:13 - mmengine - INFO - Epoch(train) [142][620/1879] lr: 2.0000e-04 eta: 4:07:37 time: 0.9242 data_time: 0.0264 memory: 11089 grad_norm: 6.2168 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1804 loss: 1.1804 2022/08/04 09:52:31 - mmengine - INFO - Epoch(train) [142][640/1879] lr: 2.0000e-04 eta: 4:07:19 time: 0.9211 data_time: 0.0270 memory: 11089 grad_norm: 6.0090 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0671 loss: 1.0671 2022/08/04 09:52:50 - mmengine - INFO - Epoch(train) [142][660/1879] lr: 2.0000e-04 eta: 4:07:00 time: 0.9270 data_time: 0.0267 memory: 11089 grad_norm: 5.9376 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1347 loss: 1.1347 2022/08/04 09:53:08 - mmengine - INFO - Epoch(train) [142][680/1879] lr: 2.0000e-04 eta: 4:06:42 time: 0.9231 data_time: 0.0265 memory: 11089 grad_norm: 5.9818 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8878 loss: 0.8878 2022/08/04 09:53:27 - mmengine - INFO - Epoch(train) [142][700/1879] lr: 2.0000e-04 eta: 4:06:24 time: 0.9239 data_time: 0.0299 memory: 11089 grad_norm: 6.0052 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0798 loss: 1.0798 2022/08/04 09:53:45 - mmengine - INFO - Epoch(train) [142][720/1879] lr: 2.0000e-04 eta: 4:06:06 time: 0.9279 data_time: 0.0282 memory: 11089 grad_norm: 6.0431 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2236 loss: 1.2236 2022/08/04 09:54:04 - mmengine - INFO - Epoch(train) [142][740/1879] lr: 2.0000e-04 eta: 4:05:48 time: 0.9171 data_time: 0.0266 memory: 11089 grad_norm: 5.9845 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0853 loss: 1.0853 2022/08/04 09:54:22 - mmengine - INFO - Epoch(train) [142][760/1879] lr: 2.0000e-04 eta: 4:05:29 time: 0.9324 data_time: 0.0293 memory: 11089 grad_norm: 6.0346 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1140 loss: 1.1140 2022/08/04 09:54:40 - mmengine - INFO - Epoch(train) [142][780/1879] lr: 2.0000e-04 eta: 4:05:11 time: 0.8997 data_time: 0.0205 memory: 11089 grad_norm: 6.0771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2433 loss: 1.2433 2022/08/04 09:54:58 - mmengine - INFO - Epoch(train) [142][800/1879] lr: 2.0000e-04 eta: 4:04:53 time: 0.9050 data_time: 0.0262 memory: 11089 grad_norm: 6.0005 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2683 loss: 1.2683 2022/08/04 09:55:17 - mmengine - INFO - Epoch(train) [142][820/1879] lr: 2.0000e-04 eta: 4:04:35 time: 0.9077 data_time: 0.0219 memory: 11089 grad_norm: 5.8694 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1365 loss: 1.1365 2022/08/04 09:55:35 - mmengine - INFO - Epoch(train) [142][840/1879] lr: 2.0000e-04 eta: 4:04:16 time: 0.9267 data_time: 0.0236 memory: 11089 grad_norm: 5.7867 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2184 loss: 1.2184 2022/08/04 09:55:54 - mmengine - INFO - Epoch(train) [142][860/1879] lr: 2.0000e-04 eta: 4:03:58 time: 0.9381 data_time: 0.0359 memory: 11089 grad_norm: 5.9795 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1554 loss: 1.1554 2022/08/04 09:56:12 - mmengine - INFO - Epoch(train) [142][880/1879] lr: 2.0000e-04 eta: 4:03:40 time: 0.9134 data_time: 0.0250 memory: 11089 grad_norm: 5.9326 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2202 loss: 1.2202 2022/08/04 09:56:31 - mmengine - INFO - Epoch(train) [142][900/1879] lr: 2.0000e-04 eta: 4:03:22 time: 0.9289 data_time: 0.0224 memory: 11089 grad_norm: 5.9611 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0009 loss: 1.0009 2022/08/04 09:56:49 - mmengine - INFO - Epoch(train) [142][920/1879] lr: 2.0000e-04 eta: 4:03:03 time: 0.9337 data_time: 0.0344 memory: 11089 grad_norm: 5.8737 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9630 loss: 0.9630 2022/08/04 09:57:08 - mmengine - INFO - Epoch(train) [142][940/1879] lr: 2.0000e-04 eta: 4:02:45 time: 0.9376 data_time: 0.0276 memory: 11089 grad_norm: 5.9950 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0165 loss: 1.0165 2022/08/04 09:57:26 - mmengine - INFO - Epoch(train) [142][960/1879] lr: 2.0000e-04 eta: 4:02:27 time: 0.9167 data_time: 0.0293 memory: 11089 grad_norm: 6.0032 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0914 loss: 1.0914 2022/08/04 09:57:45 - mmengine - INFO - Epoch(train) [142][980/1879] lr: 2.0000e-04 eta: 4:02:09 time: 0.9175 data_time: 0.0262 memory: 11089 grad_norm: 6.1052 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1733 loss: 1.1733 2022/08/04 09:58:03 - mmengine - INFO - Epoch(train) [142][1000/1879] lr: 2.0000e-04 eta: 4:01:51 time: 0.9158 data_time: 0.0285 memory: 11089 grad_norm: 5.8435 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9679 loss: 0.9679 2022/08/04 09:58:21 - mmengine - INFO - Epoch(train) [142][1020/1879] lr: 2.0000e-04 eta: 4:01:32 time: 0.9123 data_time: 0.0278 memory: 11089 grad_norm: 5.9153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1532 loss: 1.1532 2022/08/04 09:58:40 - mmengine - INFO - Epoch(train) [142][1040/1879] lr: 2.0000e-04 eta: 4:01:14 time: 0.9275 data_time: 0.0278 memory: 11089 grad_norm: 5.9966 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3835 loss: 1.3835 2022/08/04 09:58:59 - mmengine - INFO - Epoch(train) [142][1060/1879] lr: 2.0000e-04 eta: 4:00:56 time: 0.9288 data_time: 0.0354 memory: 11089 grad_norm: 5.8236 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0246 loss: 1.0246 2022/08/04 09:59:00 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 09:59:17 - mmengine - INFO - Epoch(train) [142][1080/1879] lr: 2.0000e-04 eta: 4:00:38 time: 0.9413 data_time: 0.0315 memory: 11089 grad_norm: 5.7563 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0128 loss: 1.0128 2022/08/04 09:59:36 - mmengine - INFO - Epoch(train) [142][1100/1879] lr: 2.0000e-04 eta: 4:00:19 time: 0.9260 data_time: 0.0266 memory: 11089 grad_norm: 6.0514 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2041 loss: 1.2041 2022/08/04 09:59:54 - mmengine - INFO - Epoch(train) [142][1120/1879] lr: 2.0000e-04 eta: 4:00:01 time: 0.9186 data_time: 0.0242 memory: 11089 grad_norm: 6.1107 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1668 loss: 1.1668 2022/08/04 10:00:13 - mmengine - INFO - Epoch(train) [142][1140/1879] lr: 2.0000e-04 eta: 3:59:43 time: 0.9114 data_time: 0.0282 memory: 11089 grad_norm: 5.9348 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3426 loss: 1.3426 2022/08/04 10:00:31 - mmengine - INFO - Epoch(train) [142][1160/1879] lr: 2.0000e-04 eta: 3:59:25 time: 0.9071 data_time: 0.0253 memory: 11089 grad_norm: 6.1764 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1385 loss: 1.1385 2022/08/04 10:00:49 - mmengine - INFO - Epoch(train) [142][1180/1879] lr: 2.0000e-04 eta: 3:59:06 time: 0.9049 data_time: 0.0214 memory: 11089 grad_norm: 5.8995 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1971 loss: 1.1971 2022/08/04 10:01:07 - mmengine - INFO - Epoch(train) [142][1200/1879] lr: 2.0000e-04 eta: 3:58:48 time: 0.9056 data_time: 0.0235 memory: 11089 grad_norm: 6.0077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0797 loss: 1.0797 2022/08/04 10:01:25 - mmengine - INFO - Epoch(train) [142][1220/1879] lr: 2.0000e-04 eta: 3:58:30 time: 0.9061 data_time: 0.0241 memory: 11089 grad_norm: 5.9236 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0694 loss: 1.0694 2022/08/04 10:01:43 - mmengine - INFO - Epoch(train) [142][1240/1879] lr: 2.0000e-04 eta: 3:58:12 time: 0.9175 data_time: 0.0307 memory: 11089 grad_norm: 6.0577 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1135 loss: 1.1135 2022/08/04 10:02:02 - mmengine - INFO - Epoch(train) [142][1260/1879] lr: 2.0000e-04 eta: 3:57:54 time: 0.9190 data_time: 0.0227 memory: 11089 grad_norm: 5.9453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1266 loss: 1.1266 2022/08/04 10:02:21 - mmengine - INFO - Epoch(train) [142][1280/1879] lr: 2.0000e-04 eta: 3:57:35 time: 0.9411 data_time: 0.0304 memory: 11089 grad_norm: 6.0445 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1759 loss: 1.1759 2022/08/04 10:02:39 - mmengine - INFO - Epoch(train) [142][1300/1879] lr: 2.0000e-04 eta: 3:57:17 time: 0.9112 data_time: 0.0281 memory: 11089 grad_norm: 6.1042 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9604 loss: 0.9604 2022/08/04 10:02:57 - mmengine - INFO - Epoch(train) [142][1320/1879] lr: 2.0000e-04 eta: 3:56:59 time: 0.9283 data_time: 0.0327 memory: 11089 grad_norm: 6.0705 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2132 loss: 1.2132 2022/08/04 10:03:16 - mmengine - INFO - Epoch(train) [142][1340/1879] lr: 2.0000e-04 eta: 3:56:41 time: 0.9267 data_time: 0.0264 memory: 11089 grad_norm: 5.8441 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2195 loss: 1.2195 2022/08/04 10:03:35 - mmengine - INFO - Epoch(train) [142][1360/1879] lr: 2.0000e-04 eta: 3:56:22 time: 0.9295 data_time: 0.0292 memory: 11089 grad_norm: 5.9388 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0543 loss: 1.0543 2022/08/04 10:03:53 - mmengine - INFO - Epoch(train) [142][1380/1879] lr: 2.0000e-04 eta: 3:56:04 time: 0.9278 data_time: 0.0288 memory: 11089 grad_norm: 5.9344 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0562 loss: 1.0562 2022/08/04 10:04:12 - mmengine - INFO - Epoch(train) [142][1400/1879] lr: 2.0000e-04 eta: 3:55:46 time: 0.9310 data_time: 0.0309 memory: 11089 grad_norm: 6.0316 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0949 loss: 1.0949 2022/08/04 10:04:31 - mmengine - INFO - Epoch(train) [142][1420/1879] lr: 2.0000e-04 eta: 3:55:28 time: 0.9455 data_time: 0.0265 memory: 11089 grad_norm: 5.9584 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9585 loss: 0.9585 2022/08/04 10:04:49 - mmengine - INFO - Epoch(train) [142][1440/1879] lr: 2.0000e-04 eta: 3:55:10 time: 0.9089 data_time: 0.0216 memory: 11089 grad_norm: 6.1509 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1849 loss: 1.1849 2022/08/04 10:05:07 - mmengine - INFO - Epoch(train) [142][1460/1879] lr: 2.0000e-04 eta: 3:54:51 time: 0.9082 data_time: 0.0225 memory: 11089 grad_norm: 5.9301 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9641 loss: 0.9641 2022/08/04 10:05:25 - mmengine - INFO - Epoch(train) [142][1480/1879] lr: 2.0000e-04 eta: 3:54:33 time: 0.9207 data_time: 0.0256 memory: 11089 grad_norm: 5.9466 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0384 loss: 1.0384 2022/08/04 10:05:44 - mmengine - INFO - Epoch(train) [142][1500/1879] lr: 2.0000e-04 eta: 3:54:15 time: 0.9191 data_time: 0.0267 memory: 11089 grad_norm: 5.9936 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.2845 loss: 1.2845 2022/08/04 10:06:03 - mmengine - INFO - Epoch(train) [142][1520/1879] lr: 2.0000e-04 eta: 3:53:57 time: 0.9465 data_time: 0.0284 memory: 11089 grad_norm: 5.9037 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0977 loss: 1.0977 2022/08/04 10:06:21 - mmengine - INFO - Epoch(train) [142][1540/1879] lr: 2.0000e-04 eta: 3:53:38 time: 0.9176 data_time: 0.0313 memory: 11089 grad_norm: 5.9821 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1667 loss: 1.1667 2022/08/04 10:06:40 - mmengine - INFO - Epoch(train) [142][1560/1879] lr: 2.0000e-04 eta: 3:53:20 time: 0.9221 data_time: 0.0222 memory: 11089 grad_norm: 5.9650 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2074 loss: 1.2074 2022/08/04 10:06:58 - mmengine - INFO - Epoch(train) [142][1580/1879] lr: 2.0000e-04 eta: 3:53:02 time: 0.9416 data_time: 0.0260 memory: 11089 grad_norm: 5.9255 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0900 loss: 1.0900 2022/08/04 10:07:17 - mmengine - INFO - Epoch(train) [142][1600/1879] lr: 2.0000e-04 eta: 3:52:44 time: 0.9180 data_time: 0.0266 memory: 11089 grad_norm: 5.8787 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1622 loss: 1.1622 2022/08/04 10:07:35 - mmengine - INFO - Epoch(train) [142][1620/1879] lr: 2.0000e-04 eta: 3:52:25 time: 0.9190 data_time: 0.0283 memory: 11089 grad_norm: 5.9010 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1391 loss: 1.1391 2022/08/04 10:07:54 - mmengine - INFO - Epoch(train) [142][1640/1879] lr: 2.0000e-04 eta: 3:52:07 time: 0.9329 data_time: 0.0334 memory: 11089 grad_norm: 6.0911 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1857 loss: 1.1857 2022/08/04 10:08:12 - mmengine - INFO - Epoch(train) [142][1660/1879] lr: 2.0000e-04 eta: 3:51:49 time: 0.9241 data_time: 0.0354 memory: 11089 grad_norm: 5.9728 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2295 loss: 1.2295 2022/08/04 10:08:31 - mmengine - INFO - Epoch(train) [142][1680/1879] lr: 2.0000e-04 eta: 3:51:31 time: 0.9193 data_time: 0.0254 memory: 11089 grad_norm: 5.8450 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0308 loss: 1.0308 2022/08/04 10:08:49 - mmengine - INFO - Epoch(train) [142][1700/1879] lr: 2.0000e-04 eta: 3:51:13 time: 0.9004 data_time: 0.0275 memory: 11089 grad_norm: 5.9182 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0360 loss: 1.0360 2022/08/04 10:09:08 - mmengine - INFO - Epoch(train) [142][1720/1879] lr: 2.0000e-04 eta: 3:50:54 time: 0.9460 data_time: 0.0316 memory: 11089 grad_norm: 6.0696 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9328 loss: 0.9328 2022/08/04 10:09:27 - mmengine - INFO - Epoch(train) [142][1740/1879] lr: 2.0000e-04 eta: 3:50:36 time: 0.9574 data_time: 0.0365 memory: 11089 grad_norm: 5.9744 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9892 loss: 0.9892 2022/08/04 10:09:45 - mmengine - INFO - Epoch(train) [142][1760/1879] lr: 2.0000e-04 eta: 3:50:18 time: 0.9216 data_time: 0.0262 memory: 11089 grad_norm: 6.0293 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1733 loss: 1.1733 2022/08/04 10:10:03 - mmengine - INFO - Epoch(train) [142][1780/1879] lr: 2.0000e-04 eta: 3:50:00 time: 0.8980 data_time: 0.0227 memory: 11089 grad_norm: 5.9343 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1941 loss: 1.1941 2022/08/04 10:10:22 - mmengine - INFO - Epoch(train) [142][1800/1879] lr: 2.0000e-04 eta: 3:49:41 time: 0.9384 data_time: 0.0338 memory: 11089 grad_norm: 6.1589 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1209 loss: 1.1209 2022/08/04 10:10:41 - mmengine - INFO - Epoch(train) [142][1820/1879] lr: 2.0000e-04 eta: 3:49:23 time: 0.9325 data_time: 0.0348 memory: 11089 grad_norm: 5.9370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2152 loss: 1.2152 2022/08/04 10:10:59 - mmengine - INFO - Epoch(train) [142][1840/1879] lr: 2.0000e-04 eta: 3:49:05 time: 0.9221 data_time: 0.0244 memory: 11089 grad_norm: 5.9691 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1757 loss: 1.1757 2022/08/04 10:11:17 - mmengine - INFO - Epoch(train) [142][1860/1879] lr: 2.0000e-04 eta: 3:48:47 time: 0.9060 data_time: 0.0294 memory: 11089 grad_norm: 5.8385 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2898 loss: 1.2898 2022/08/04 10:11:35 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 10:11:35 - mmengine - INFO - Epoch(train) [142][1879/1879] lr: 2.0000e-04 eta: 3:48:47 time: 0.9294 data_time: 0.0340 memory: 11089 grad_norm: 6.2670 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0986 loss: 1.0986 2022/08/04 10:11:55 - mmengine - INFO - Epoch(train) [143][20/1879] lr: 2.0000e-04 eta: 3:48:10 time: 1.0150 data_time: 0.1356 memory: 11089 grad_norm: 5.9447 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0353 loss: 1.0353 2022/08/04 10:12:14 - mmengine - INFO - Epoch(train) [143][40/1879] lr: 2.0000e-04 eta: 3:47:52 time: 0.9092 data_time: 0.0219 memory: 11089 grad_norm: 6.0812 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0634 loss: 1.0634 2022/08/04 10:12:32 - mmengine - INFO - Epoch(train) [143][60/1879] lr: 2.0000e-04 eta: 3:47:34 time: 0.9041 data_time: 0.0222 memory: 11089 grad_norm: 6.1477 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2513 loss: 1.2513 2022/08/04 10:12:50 - mmengine - INFO - Epoch(train) [143][80/1879] lr: 2.0000e-04 eta: 3:47:16 time: 0.9039 data_time: 0.0214 memory: 11089 grad_norm: 5.9222 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0841 loss: 1.0841 2022/08/04 10:13:09 - mmengine - INFO - Epoch(train) [143][100/1879] lr: 2.0000e-04 eta: 3:46:57 time: 0.9428 data_time: 0.0255 memory: 11089 grad_norm: 6.0500 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0976 loss: 1.0976 2022/08/04 10:13:27 - mmengine - INFO - Epoch(train) [143][120/1879] lr: 2.0000e-04 eta: 3:46:39 time: 0.9094 data_time: 0.0265 memory: 11089 grad_norm: 5.9354 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1631 loss: 1.1631 2022/08/04 10:13:45 - mmengine - INFO - Epoch(train) [143][140/1879] lr: 2.0000e-04 eta: 3:46:21 time: 0.9053 data_time: 0.0274 memory: 11089 grad_norm: 5.9899 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0184 loss: 1.0184 2022/08/04 10:14:03 - mmengine - INFO - Epoch(train) [143][160/1879] lr: 2.0000e-04 eta: 3:46:03 time: 0.9066 data_time: 0.0245 memory: 11089 grad_norm: 5.9081 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1579 loss: 1.1579 2022/08/04 10:14:21 - mmengine - INFO - Epoch(train) [143][180/1879] lr: 2.0000e-04 eta: 3:45:44 time: 0.9187 data_time: 0.0307 memory: 11089 grad_norm: 5.8079 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9479 loss: 0.9479 2022/08/04 10:14:23 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 10:14:40 - mmengine - INFO - Epoch(train) [143][200/1879] lr: 2.0000e-04 eta: 3:45:26 time: 0.9082 data_time: 0.0301 memory: 11089 grad_norm: 6.0526 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2166 loss: 1.2166 2022/08/04 10:14:58 - mmengine - INFO - Epoch(train) [143][220/1879] lr: 2.0000e-04 eta: 3:45:08 time: 0.9112 data_time: 0.0273 memory: 11089 grad_norm: 6.1516 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3024 loss: 1.3024 2022/08/04 10:15:17 - mmengine - INFO - Epoch(train) [143][240/1879] lr: 2.0000e-04 eta: 3:44:50 time: 0.9427 data_time: 0.0391 memory: 11089 grad_norm: 6.0994 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1471 loss: 1.1471 2022/08/04 10:15:35 - mmengine - INFO - Epoch(train) [143][260/1879] lr: 2.0000e-04 eta: 3:44:31 time: 0.9114 data_time: 0.0281 memory: 11089 grad_norm: 5.8515 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1021 loss: 1.1021 2022/08/04 10:15:53 - mmengine - INFO - Epoch(train) [143][280/1879] lr: 2.0000e-04 eta: 3:44:13 time: 0.9070 data_time: 0.0207 memory: 11089 grad_norm: 5.8403 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9895 loss: 0.9895 2022/08/04 10:16:12 - mmengine - INFO - Epoch(train) [143][300/1879] lr: 2.0000e-04 eta: 3:43:55 time: 0.9303 data_time: 0.0323 memory: 11089 grad_norm: 6.1005 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0620 loss: 1.0620 2022/08/04 10:16:30 - mmengine - INFO - Epoch(train) [143][320/1879] lr: 2.0000e-04 eta: 3:43:37 time: 0.9019 data_time: 0.0209 memory: 11089 grad_norm: 6.0204 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1832 loss: 1.1832 2022/08/04 10:16:48 - mmengine - INFO - Epoch(train) [143][340/1879] lr: 2.0000e-04 eta: 3:43:18 time: 0.8926 data_time: 0.0255 memory: 11089 grad_norm: 5.9373 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1774 loss: 1.1774 2022/08/04 10:17:06 - mmengine - INFO - Epoch(train) [143][360/1879] lr: 2.0000e-04 eta: 3:43:00 time: 0.9316 data_time: 0.0307 memory: 11089 grad_norm: 5.7726 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1687 loss: 1.1687 2022/08/04 10:17:25 - mmengine - INFO - Epoch(train) [143][380/1879] lr: 2.0000e-04 eta: 3:42:42 time: 0.9223 data_time: 0.0255 memory: 11089 grad_norm: 6.9421 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1196 loss: 1.1196 2022/08/04 10:17:43 - mmengine - INFO - Epoch(train) [143][400/1879] lr: 2.0000e-04 eta: 3:42:24 time: 0.9225 data_time: 0.0331 memory: 11089 grad_norm: 5.9696 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1385 loss: 1.1385 2022/08/04 10:18:02 - mmengine - INFO - Epoch(train) [143][420/1879] lr: 2.0000e-04 eta: 3:42:06 time: 0.9425 data_time: 0.0357 memory: 11089 grad_norm: 6.1394 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0855 loss: 1.0855 2022/08/04 10:18:21 - mmengine - INFO - Epoch(train) [143][440/1879] lr: 2.0000e-04 eta: 3:41:47 time: 0.9333 data_time: 0.0249 memory: 11089 grad_norm: 5.9979 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1824 loss: 1.1824 2022/08/04 10:18:39 - mmengine - INFO - Epoch(train) [143][460/1879] lr: 2.0000e-04 eta: 3:41:29 time: 0.9259 data_time: 0.0305 memory: 11089 grad_norm: 5.8625 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2176 loss: 1.2176 2022/08/04 10:18:58 - mmengine - INFO - Epoch(train) [143][480/1879] lr: 2.0000e-04 eta: 3:41:11 time: 0.9373 data_time: 0.0310 memory: 11089 grad_norm: 5.9843 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9227 loss: 0.9227 2022/08/04 10:19:16 - mmengine - INFO - Epoch(train) [143][500/1879] lr: 2.0000e-04 eta: 3:40:53 time: 0.9102 data_time: 0.0324 memory: 11089 grad_norm: 6.1073 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0150 loss: 1.0150 2022/08/04 10:19:35 - mmengine - INFO - Epoch(train) [143][520/1879] lr: 2.0000e-04 eta: 3:40:34 time: 0.9192 data_time: 0.0293 memory: 11089 grad_norm: 5.7743 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2092 loss: 1.2092 2022/08/04 10:19:53 - mmengine - INFO - Epoch(train) [143][540/1879] lr: 2.0000e-04 eta: 3:40:16 time: 0.9033 data_time: 0.0266 memory: 11089 grad_norm: 6.0824 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1023 loss: 1.1023 2022/08/04 10:20:11 - mmengine - INFO - Epoch(train) [143][560/1879] lr: 2.0000e-04 eta: 3:39:58 time: 0.9395 data_time: 0.0358 memory: 11089 grad_norm: 6.0035 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0171 loss: 1.0171 2022/08/04 10:20:30 - mmengine - INFO - Epoch(train) [143][580/1879] lr: 2.0000e-04 eta: 3:39:40 time: 0.9293 data_time: 0.0292 memory: 11089 grad_norm: 5.7898 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9833 loss: 0.9833 2022/08/04 10:20:48 - mmengine - INFO - Epoch(train) [143][600/1879] lr: 2.0000e-04 eta: 3:39:22 time: 0.9022 data_time: 0.0227 memory: 11089 grad_norm: 6.1748 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2562 loss: 1.2562 2022/08/04 10:21:06 - mmengine - INFO - Epoch(train) [143][620/1879] lr: 2.0000e-04 eta: 3:39:03 time: 0.9228 data_time: 0.0287 memory: 11089 grad_norm: 6.1089 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0740 loss: 1.0740 2022/08/04 10:21:25 - mmengine - INFO - Epoch(train) [143][640/1879] lr: 2.0000e-04 eta: 3:38:45 time: 0.9131 data_time: 0.0246 memory: 11089 grad_norm: 5.8785 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1399 loss: 1.1399 2022/08/04 10:21:43 - mmengine - INFO - Epoch(train) [143][660/1879] lr: 2.0000e-04 eta: 3:38:27 time: 0.9254 data_time: 0.0278 memory: 11089 grad_norm: 6.1682 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2769 loss: 1.2769 2022/08/04 10:22:02 - mmengine - INFO - Epoch(train) [143][680/1879] lr: 2.0000e-04 eta: 3:38:09 time: 0.9231 data_time: 0.0351 memory: 11089 grad_norm: 6.0714 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.1657 loss: 1.1657 2022/08/04 10:22:21 - mmengine - INFO - Epoch(train) [143][700/1879] lr: 2.0000e-04 eta: 3:37:50 time: 0.9390 data_time: 0.0268 memory: 11089 grad_norm: 6.0416 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0433 loss: 1.0433 2022/08/04 10:22:39 - mmengine - INFO - Epoch(train) [143][720/1879] lr: 2.0000e-04 eta: 3:37:32 time: 0.9385 data_time: 0.0351 memory: 11089 grad_norm: 5.7326 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1276 loss: 1.1276 2022/08/04 10:22:58 - mmengine - INFO - Epoch(train) [143][740/1879] lr: 2.0000e-04 eta: 3:37:14 time: 0.9122 data_time: 0.0306 memory: 11089 grad_norm: 6.0630 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9805 loss: 0.9805 2022/08/04 10:23:16 - mmengine - INFO - Epoch(train) [143][760/1879] lr: 2.0000e-04 eta: 3:36:56 time: 0.9332 data_time: 0.0255 memory: 11089 grad_norm: 6.0583 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0850 loss: 1.0850 2022/08/04 10:23:35 - mmengine - INFO - Epoch(train) [143][780/1879] lr: 2.0000e-04 eta: 3:36:38 time: 0.9237 data_time: 0.0266 memory: 11089 grad_norm: 6.1609 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9734 loss: 0.9734 2022/08/04 10:23:53 - mmengine - INFO - Epoch(train) [143][800/1879] lr: 2.0000e-04 eta: 3:36:19 time: 0.9107 data_time: 0.0276 memory: 11089 grad_norm: 6.1380 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3173 loss: 1.3173 2022/08/04 10:24:11 - mmengine - INFO - Epoch(train) [143][820/1879] lr: 2.0000e-04 eta: 3:36:01 time: 0.9193 data_time: 0.0240 memory: 11089 grad_norm: 5.9918 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9625 loss: 0.9625 2022/08/04 10:24:30 - mmengine - INFO - Epoch(train) [143][840/1879] lr: 2.0000e-04 eta: 3:35:43 time: 0.9108 data_time: 0.0278 memory: 11089 grad_norm: 5.9054 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0360 loss: 1.0360 2022/08/04 10:24:48 - mmengine - INFO - Epoch(train) [143][860/1879] lr: 2.0000e-04 eta: 3:35:25 time: 0.9196 data_time: 0.0278 memory: 11089 grad_norm: 6.0723 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2173 loss: 1.2173 2022/08/04 10:25:06 - mmengine - INFO - Epoch(train) [143][880/1879] lr: 2.0000e-04 eta: 3:35:06 time: 0.9177 data_time: 0.0241 memory: 11089 grad_norm: 6.0260 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0674 loss: 1.0674 2022/08/04 10:25:25 - mmengine - INFO - Epoch(train) [143][900/1879] lr: 2.0000e-04 eta: 3:34:48 time: 0.9158 data_time: 0.0337 memory: 11089 grad_norm: 5.9015 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3189 loss: 1.3189 2022/08/04 10:25:43 - mmengine - INFO - Epoch(train) [143][920/1879] lr: 2.0000e-04 eta: 3:34:30 time: 0.9284 data_time: 0.0279 memory: 11089 grad_norm: 5.9741 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3288 loss: 1.3288 2022/08/04 10:26:02 - mmengine - INFO - Epoch(train) [143][940/1879] lr: 2.0000e-04 eta: 3:34:12 time: 0.9209 data_time: 0.0244 memory: 11089 grad_norm: 5.9847 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0816 loss: 1.0816 2022/08/04 10:26:20 - mmengine - INFO - Epoch(train) [143][960/1879] lr: 2.0000e-04 eta: 3:33:53 time: 0.9369 data_time: 0.0299 memory: 11089 grad_norm: 6.0478 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9572 loss: 0.9572 2022/08/04 10:26:39 - mmengine - INFO - Epoch(train) [143][980/1879] lr: 2.0000e-04 eta: 3:33:35 time: 0.9178 data_time: 0.0242 memory: 11089 grad_norm: 5.9890 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2126 loss: 1.2126 2022/08/04 10:26:57 - mmengine - INFO - Epoch(train) [143][1000/1879] lr: 2.0000e-04 eta: 3:33:17 time: 0.9195 data_time: 0.0254 memory: 11089 grad_norm: 5.9889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2361 loss: 1.2361 2022/08/04 10:27:16 - mmengine - INFO - Epoch(train) [143][1020/1879] lr: 2.0000e-04 eta: 3:32:59 time: 0.9307 data_time: 0.0327 memory: 11089 grad_norm: 6.1922 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.2194 loss: 1.2194 2022/08/04 10:27:34 - mmengine - INFO - Epoch(train) [143][1040/1879] lr: 2.0000e-04 eta: 3:32:41 time: 0.9365 data_time: 0.0303 memory: 11089 grad_norm: 5.9579 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1685 loss: 1.1685 2022/08/04 10:27:52 - mmengine - INFO - Epoch(train) [143][1060/1879] lr: 2.0000e-04 eta: 3:32:22 time: 0.8778 data_time: 0.0244 memory: 11089 grad_norm: 5.9974 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3292 loss: 1.3292 2022/08/04 10:28:11 - mmengine - INFO - Epoch(train) [143][1080/1879] lr: 2.0000e-04 eta: 3:32:04 time: 0.9454 data_time: 0.0306 memory: 11089 grad_norm: 6.0195 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9571 loss: 0.9571 2022/08/04 10:28:29 - mmengine - INFO - Epoch(train) [143][1100/1879] lr: 2.0000e-04 eta: 3:31:46 time: 0.9225 data_time: 0.0259 memory: 11089 grad_norm: 6.1374 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0942 loss: 1.0942 2022/08/04 10:28:48 - mmengine - INFO - Epoch(train) [143][1120/1879] lr: 2.0000e-04 eta: 3:31:28 time: 0.9294 data_time: 0.0274 memory: 11089 grad_norm: 5.9855 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0676 loss: 1.0676 2022/08/04 10:29:07 - mmengine - INFO - Epoch(train) [143][1140/1879] lr: 2.0000e-04 eta: 3:31:09 time: 0.9331 data_time: 0.0252 memory: 11089 grad_norm: 5.7760 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0253 loss: 1.0253 2022/08/04 10:29:25 - mmengine - INFO - Epoch(train) [143][1160/1879] lr: 2.0000e-04 eta: 3:30:51 time: 0.9208 data_time: 0.0252 memory: 11089 grad_norm: 6.0723 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3986 loss: 1.3986 2022/08/04 10:29:44 - mmengine - INFO - Epoch(train) [143][1180/1879] lr: 2.0000e-04 eta: 3:30:33 time: 0.9207 data_time: 0.0242 memory: 11089 grad_norm: 6.2130 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0863 loss: 1.0863 2022/08/04 10:29:45 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 10:30:02 - mmengine - INFO - Epoch(train) [143][1200/1879] lr: 2.0000e-04 eta: 3:30:15 time: 0.9144 data_time: 0.0271 memory: 11089 grad_norm: 5.8987 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1670 loss: 1.1670 2022/08/04 10:30:20 - mmengine - INFO - Epoch(train) [143][1220/1879] lr: 2.0000e-04 eta: 3:29:56 time: 0.9009 data_time: 0.0307 memory: 11089 grad_norm: 6.0411 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1427 loss: 1.1427 2022/08/04 10:30:39 - mmengine - INFO - Epoch(train) [143][1240/1879] lr: 2.0000e-04 eta: 3:29:38 time: 0.9392 data_time: 0.0302 memory: 11089 grad_norm: 6.0489 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1066 loss: 1.1066 2022/08/04 10:30:57 - mmengine - INFO - Epoch(train) [143][1260/1879] lr: 2.0000e-04 eta: 3:29:20 time: 0.9317 data_time: 0.0339 memory: 11089 grad_norm: 6.1371 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1331 loss: 1.1331 2022/08/04 10:31:15 - mmengine - INFO - Epoch(train) [143][1280/1879] lr: 2.0000e-04 eta: 3:29:02 time: 0.8968 data_time: 0.0292 memory: 11089 grad_norm: 5.8696 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1762 loss: 1.1762 2022/08/04 10:31:34 - mmengine - INFO - Epoch(train) [143][1300/1879] lr: 2.0000e-04 eta: 3:28:44 time: 0.9311 data_time: 0.0308 memory: 11089 grad_norm: 5.9938 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2384 loss: 1.2384 2022/08/04 10:31:52 - mmengine - INFO - Epoch(train) [143][1320/1879] lr: 2.0000e-04 eta: 3:28:25 time: 0.9085 data_time: 0.0281 memory: 11089 grad_norm: 5.8243 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0910 loss: 1.0910 2022/08/04 10:32:10 - mmengine - INFO - Epoch(train) [143][1340/1879] lr: 2.0000e-04 eta: 3:28:07 time: 0.9051 data_time: 0.0272 memory: 11089 grad_norm: 5.9934 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2250 loss: 1.2250 2022/08/04 10:32:28 - mmengine - INFO - Epoch(train) [143][1360/1879] lr: 2.0000e-04 eta: 3:27:49 time: 0.9163 data_time: 0.0325 memory: 11089 grad_norm: 5.8604 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1579 loss: 1.1579 2022/08/04 10:32:47 - mmengine - INFO - Epoch(train) [143][1380/1879] lr: 2.0000e-04 eta: 3:27:31 time: 0.9030 data_time: 0.0226 memory: 11089 grad_norm: 6.0851 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0776 loss: 1.0776 2022/08/04 10:33:05 - mmengine - INFO - Epoch(train) [143][1400/1879] lr: 2.0000e-04 eta: 3:27:12 time: 0.9151 data_time: 0.0298 memory: 11089 grad_norm: 6.0808 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2362 loss: 1.2362 2022/08/04 10:33:23 - mmengine - INFO - Epoch(train) [143][1420/1879] lr: 2.0000e-04 eta: 3:26:54 time: 0.9098 data_time: 0.0286 memory: 11089 grad_norm: 5.9551 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0780 loss: 1.0780 2022/08/04 10:33:41 - mmengine - INFO - Epoch(train) [143][1440/1879] lr: 2.0000e-04 eta: 3:26:36 time: 0.8988 data_time: 0.0186 memory: 11089 grad_norm: 5.9982 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0911 loss: 1.0911 2022/08/04 10:33:59 - mmengine - INFO - Epoch(train) [143][1460/1879] lr: 2.0000e-04 eta: 3:26:18 time: 0.9054 data_time: 0.0250 memory: 11089 grad_norm: 6.0541 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2745 loss: 1.2745 2022/08/04 10:34:17 - mmengine - INFO - Epoch(train) [143][1480/1879] lr: 2.0000e-04 eta: 3:25:59 time: 0.9081 data_time: 0.0237 memory: 11089 grad_norm: 5.8330 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1499 loss: 1.1499 2022/08/04 10:34:36 - mmengine - INFO - Epoch(train) [143][1500/1879] lr: 2.0000e-04 eta: 3:25:41 time: 0.9180 data_time: 0.0365 memory: 11089 grad_norm: 6.0143 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2226 loss: 1.2226 2022/08/04 10:34:54 - mmengine - INFO - Epoch(train) [143][1520/1879] lr: 2.0000e-04 eta: 3:25:23 time: 0.9004 data_time: 0.0272 memory: 11089 grad_norm: 6.0757 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3502 loss: 1.3502 2022/08/04 10:35:12 - mmengine - INFO - Epoch(train) [143][1540/1879] lr: 2.0000e-04 eta: 3:25:05 time: 0.9148 data_time: 0.0256 memory: 11089 grad_norm: 6.0954 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2393 loss: 1.2393 2022/08/04 10:35:30 - mmengine - INFO - Epoch(train) [143][1560/1879] lr: 2.0000e-04 eta: 3:24:46 time: 0.9185 data_time: 0.0250 memory: 11089 grad_norm: 5.8059 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1964 loss: 1.1964 2022/08/04 10:35:49 - mmengine - INFO - Epoch(train) [143][1580/1879] lr: 2.0000e-04 eta: 3:24:28 time: 0.9180 data_time: 0.0335 memory: 11089 grad_norm: 5.9729 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1041 loss: 1.1041 2022/08/04 10:36:07 - mmengine - INFO - Epoch(train) [143][1600/1879] lr: 2.0000e-04 eta: 3:24:10 time: 0.9227 data_time: 0.0300 memory: 11089 grad_norm: 6.0711 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1360 loss: 1.1360 2022/08/04 10:36:26 - mmengine - INFO - Epoch(train) [143][1620/1879] lr: 2.0000e-04 eta: 3:23:52 time: 0.9341 data_time: 0.0257 memory: 11089 grad_norm: 5.8043 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9657 loss: 0.9657 2022/08/04 10:36:44 - mmengine - INFO - Epoch(train) [143][1640/1879] lr: 2.0000e-04 eta: 3:23:33 time: 0.9175 data_time: 0.0307 memory: 11089 grad_norm: 5.9396 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1718 loss: 1.1718 2022/08/04 10:37:03 - mmengine - INFO - Epoch(train) [143][1660/1879] lr: 2.0000e-04 eta: 3:23:15 time: 0.9110 data_time: 0.0246 memory: 11089 grad_norm: 5.9872 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1787 loss: 1.1787 2022/08/04 10:37:21 - mmengine - INFO - Epoch(train) [143][1680/1879] lr: 2.0000e-04 eta: 3:22:57 time: 0.9093 data_time: 0.0262 memory: 11089 grad_norm: 6.0405 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0834 loss: 1.0834 2022/08/04 10:37:39 - mmengine - INFO - Epoch(train) [143][1700/1879] lr: 2.0000e-04 eta: 3:22:39 time: 0.9140 data_time: 0.0251 memory: 11089 grad_norm: 6.0940 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0677 loss: 1.0677 2022/08/04 10:37:58 - mmengine - INFO - Epoch(train) [143][1720/1879] lr: 2.0000e-04 eta: 3:22:21 time: 0.9519 data_time: 0.0436 memory: 11089 grad_norm: 6.1092 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0754 loss: 1.0754 2022/08/04 10:38:17 - mmengine - INFO - Epoch(train) [143][1740/1879] lr: 2.0000e-04 eta: 3:22:02 time: 0.9172 data_time: 0.0244 memory: 11089 grad_norm: 6.0080 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1415 loss: 1.1415 2022/08/04 10:38:35 - mmengine - INFO - Epoch(train) [143][1760/1879] lr: 2.0000e-04 eta: 3:21:44 time: 0.9473 data_time: 0.0301 memory: 11089 grad_norm: 5.9703 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1359 loss: 1.1359 2022/08/04 10:38:54 - mmengine - INFO - Epoch(train) [143][1780/1879] lr: 2.0000e-04 eta: 3:21:26 time: 0.9237 data_time: 0.0285 memory: 11089 grad_norm: 6.0459 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1441 loss: 1.1441 2022/08/04 10:39:12 - mmengine - INFO - Epoch(train) [143][1800/1879] lr: 2.0000e-04 eta: 3:21:08 time: 0.9212 data_time: 0.0264 memory: 11089 grad_norm: 5.8232 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9824 loss: 0.9824 2022/08/04 10:39:31 - mmengine - INFO - Epoch(train) [143][1820/1879] lr: 2.0000e-04 eta: 3:20:49 time: 0.9168 data_time: 0.0267 memory: 11089 grad_norm: 5.9473 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0804 loss: 1.0804 2022/08/04 10:39:49 - mmengine - INFO - Epoch(train) [143][1840/1879] lr: 2.0000e-04 eta: 3:20:31 time: 0.9092 data_time: 0.0265 memory: 11089 grad_norm: 6.0211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1344 loss: 1.1344 2022/08/04 10:40:07 - mmengine - INFO - Epoch(train) [143][1860/1879] lr: 2.0000e-04 eta: 3:20:13 time: 0.9158 data_time: 0.0301 memory: 11089 grad_norm: 6.1135 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1930 loss: 1.1930 2022/08/04 10:40:25 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 10:40:25 - mmengine - INFO - Epoch(train) [143][1879/1879] lr: 2.0000e-04 eta: 3:20:13 time: 0.9373 data_time: 0.0326 memory: 11089 grad_norm: 6.5389 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.2624 loss: 1.2624 2022/08/04 10:40:45 - mmengine - INFO - Epoch(train) [144][20/1879] lr: 2.0000e-04 eta: 3:19:37 time: 1.0204 data_time: 0.1461 memory: 11089 grad_norm: 6.0453 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0432 loss: 1.0432 2022/08/04 10:41:04 - mmengine - INFO - Epoch(train) [144][40/1879] lr: 2.0000e-04 eta: 3:19:18 time: 0.9220 data_time: 0.0224 memory: 11089 grad_norm: 5.7762 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0298 loss: 1.0298 2022/08/04 10:41:22 - mmengine - INFO - Epoch(train) [144][60/1879] lr: 2.0000e-04 eta: 3:19:00 time: 0.9100 data_time: 0.0243 memory: 11089 grad_norm: 6.0514 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0849 loss: 1.0849 2022/08/04 10:41:41 - mmengine - INFO - Epoch(train) [144][80/1879] lr: 2.0000e-04 eta: 3:18:42 time: 0.9403 data_time: 0.0268 memory: 11089 grad_norm: 6.0755 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1529 loss: 1.1529 2022/08/04 10:41:59 - mmengine - INFO - Epoch(train) [144][100/1879] lr: 2.0000e-04 eta: 3:18:24 time: 0.9189 data_time: 0.0242 memory: 11089 grad_norm: 5.9182 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1081 loss: 1.1081 2022/08/04 10:42:17 - mmengine - INFO - Epoch(train) [144][120/1879] lr: 2.0000e-04 eta: 3:18:05 time: 0.9016 data_time: 0.0246 memory: 11089 grad_norm: 6.0467 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2383 loss: 1.2383 2022/08/04 10:42:35 - mmengine - INFO - Epoch(train) [144][140/1879] lr: 2.0000e-04 eta: 3:17:47 time: 0.9064 data_time: 0.0206 memory: 11089 grad_norm: 6.1949 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2868 loss: 1.2868 2022/08/04 10:42:54 - mmengine - INFO - Epoch(train) [144][160/1879] lr: 2.0000e-04 eta: 3:17:29 time: 0.9133 data_time: 0.0255 memory: 11089 grad_norm: 6.1398 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1206 loss: 1.1206 2022/08/04 10:43:12 - mmengine - INFO - Epoch(train) [144][180/1879] lr: 2.0000e-04 eta: 3:17:11 time: 0.9040 data_time: 0.0266 memory: 11089 grad_norm: 6.1374 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0945 loss: 1.0945 2022/08/04 10:43:30 - mmengine - INFO - Epoch(train) [144][200/1879] lr: 2.0000e-04 eta: 3:16:52 time: 0.9104 data_time: 0.0267 memory: 11089 grad_norm: 6.2228 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3836 loss: 1.3836 2022/08/04 10:43:48 - mmengine - INFO - Epoch(train) [144][220/1879] lr: 2.0000e-04 eta: 3:16:34 time: 0.9104 data_time: 0.0205 memory: 11089 grad_norm: 6.1443 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1667 loss: 1.1667 2022/08/04 10:44:07 - mmengine - INFO - Epoch(train) [144][240/1879] lr: 2.0000e-04 eta: 3:16:16 time: 0.9173 data_time: 0.0232 memory: 11089 grad_norm: 6.0558 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1453 loss: 1.1453 2022/08/04 10:44:26 - mmengine - INFO - Epoch(train) [144][260/1879] lr: 2.0000e-04 eta: 3:15:58 time: 0.9468 data_time: 0.0247 memory: 11089 grad_norm: 5.8130 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3248 loss: 1.3248 2022/08/04 10:44:44 - mmengine - INFO - Epoch(train) [144][280/1879] lr: 2.0000e-04 eta: 3:15:40 time: 0.9250 data_time: 0.0228 memory: 11089 grad_norm: 5.8541 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3175 loss: 1.3175 2022/08/04 10:45:02 - mmengine - INFO - Epoch(train) [144][300/1879] lr: 2.0000e-04 eta: 3:15:21 time: 0.9083 data_time: 0.0220 memory: 11089 grad_norm: 6.0522 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1364 loss: 1.1364 2022/08/04 10:45:06 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 10:45:21 - mmengine - INFO - Epoch(train) [144][320/1879] lr: 2.0000e-04 eta: 3:15:03 time: 0.9519 data_time: 0.0310 memory: 11089 grad_norm: 6.0909 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0480 loss: 1.0480 2022/08/04 10:45:40 - mmengine - INFO - Epoch(train) [144][340/1879] lr: 2.0000e-04 eta: 3:14:45 time: 0.9206 data_time: 0.0328 memory: 11089 grad_norm: 5.9480 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1060 loss: 1.1060 2022/08/04 10:45:58 - mmengine - INFO - Epoch(train) [144][360/1879] lr: 2.0000e-04 eta: 3:14:27 time: 0.9227 data_time: 0.0306 memory: 11089 grad_norm: 5.9530 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2477 loss: 1.2477 2022/08/04 10:46:17 - mmengine - INFO - Epoch(train) [144][380/1879] lr: 2.0000e-04 eta: 3:14:08 time: 0.9170 data_time: 0.0243 memory: 11089 grad_norm: 6.1569 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1069 loss: 1.1069 2022/08/04 10:46:35 - mmengine - INFO - Epoch(train) [144][400/1879] lr: 2.0000e-04 eta: 3:13:50 time: 0.9207 data_time: 0.0299 memory: 11089 grad_norm: 6.2177 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1418 loss: 1.1418 2022/08/04 10:46:53 - mmengine - INFO - Epoch(train) [144][420/1879] lr: 2.0000e-04 eta: 3:13:32 time: 0.9236 data_time: 0.0305 memory: 11089 grad_norm: 5.9023 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9191 loss: 0.9191 2022/08/04 10:47:12 - mmengine - INFO - Epoch(train) [144][440/1879] lr: 2.0000e-04 eta: 3:13:14 time: 0.9117 data_time: 0.0276 memory: 11089 grad_norm: 5.8050 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2639 loss: 1.2639 2022/08/04 10:47:30 - mmengine - INFO - Epoch(train) [144][460/1879] lr: 2.0000e-04 eta: 3:12:55 time: 0.9192 data_time: 0.0231 memory: 11089 grad_norm: 5.6997 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9349 loss: 0.9349 2022/08/04 10:47:49 - mmengine - INFO - Epoch(train) [144][480/1879] lr: 2.0000e-04 eta: 3:12:37 time: 0.9265 data_time: 0.0257 memory: 11089 grad_norm: 6.0882 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9695 loss: 0.9695 2022/08/04 10:48:07 - mmengine - INFO - Epoch(train) [144][500/1879] lr: 2.0000e-04 eta: 3:12:19 time: 0.9240 data_time: 0.0235 memory: 11089 grad_norm: 6.0727 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2722 loss: 1.2722 2022/08/04 10:48:26 - mmengine - INFO - Epoch(train) [144][520/1879] lr: 2.0000e-04 eta: 3:12:01 time: 0.9355 data_time: 0.0231 memory: 11089 grad_norm: 5.9491 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2579 loss: 1.2579 2022/08/04 10:48:45 - mmengine - INFO - Epoch(train) [144][540/1879] lr: 2.0000e-04 eta: 3:11:43 time: 0.9407 data_time: 0.0276 memory: 11089 grad_norm: 6.0103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1303 loss: 1.1303 2022/08/04 10:49:03 - mmengine - INFO - Epoch(train) [144][560/1879] lr: 2.0000e-04 eta: 3:11:24 time: 0.9046 data_time: 0.0253 memory: 11089 grad_norm: 6.1588 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0111 loss: 1.0111 2022/08/04 10:49:21 - mmengine - INFO - Epoch(train) [144][580/1879] lr: 2.0000e-04 eta: 3:11:06 time: 0.9278 data_time: 0.0259 memory: 11089 grad_norm: 6.0297 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1018 loss: 1.1018 2022/08/04 10:49:40 - mmengine - INFO - Epoch(train) [144][600/1879] lr: 2.0000e-04 eta: 3:10:48 time: 0.9474 data_time: 0.0353 memory: 11089 grad_norm: 5.9534 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0494 loss: 1.0494 2022/08/04 10:49:59 - mmengine - INFO - Epoch(train) [144][620/1879] lr: 2.0000e-04 eta: 3:10:30 time: 0.9368 data_time: 0.0291 memory: 11089 grad_norm: 5.9586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1079 loss: 1.1079 2022/08/04 10:50:18 - mmengine - INFO - Epoch(train) [144][640/1879] lr: 2.0000e-04 eta: 3:10:11 time: 0.9282 data_time: 0.0332 memory: 11089 grad_norm: 5.8710 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9491 loss: 0.9491 2022/08/04 10:50:36 - mmengine - INFO - Epoch(train) [144][660/1879] lr: 2.0000e-04 eta: 3:09:53 time: 0.9354 data_time: 0.0363 memory: 11089 grad_norm: 6.0616 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0486 loss: 1.0486 2022/08/04 10:50:54 - mmengine - INFO - Epoch(train) [144][680/1879] lr: 2.0000e-04 eta: 3:09:35 time: 0.9076 data_time: 0.0279 memory: 11089 grad_norm: 6.1885 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1900 loss: 1.1900 2022/08/04 10:51:13 - mmengine - INFO - Epoch(train) [144][700/1879] lr: 2.0000e-04 eta: 3:09:17 time: 0.9274 data_time: 0.0226 memory: 11089 grad_norm: 5.8381 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9266 loss: 0.9266 2022/08/04 10:51:32 - mmengine - INFO - Epoch(train) [144][720/1879] lr: 2.0000e-04 eta: 3:08:59 time: 0.9306 data_time: 0.0334 memory: 11089 grad_norm: 5.9635 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0366 loss: 1.0366 2022/08/04 10:51:50 - mmengine - INFO - Epoch(train) [144][740/1879] lr: 2.0000e-04 eta: 3:08:40 time: 0.9147 data_time: 0.0216 memory: 11089 grad_norm: 6.0021 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2240 loss: 1.2240 2022/08/04 10:52:08 - mmengine - INFO - Epoch(train) [144][760/1879] lr: 2.0000e-04 eta: 3:08:22 time: 0.9208 data_time: 0.0273 memory: 11089 grad_norm: 5.9296 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0134 loss: 1.0134 2022/08/04 10:52:27 - mmengine - INFO - Epoch(train) [144][780/1879] lr: 2.0000e-04 eta: 3:08:04 time: 0.9106 data_time: 0.0270 memory: 11089 grad_norm: 5.8910 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0323 loss: 1.0323 2022/08/04 10:52:45 - mmengine - INFO - Epoch(train) [144][800/1879] lr: 2.0000e-04 eta: 3:07:46 time: 0.9349 data_time: 0.0286 memory: 11089 grad_norm: 6.0630 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0599 loss: 1.0599 2022/08/04 10:53:04 - mmengine - INFO - Epoch(train) [144][820/1879] lr: 2.0000e-04 eta: 3:07:27 time: 0.9147 data_time: 0.0243 memory: 11089 grad_norm: 5.9637 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9983 loss: 0.9983 2022/08/04 10:53:22 - mmengine - INFO - Epoch(train) [144][840/1879] lr: 2.0000e-04 eta: 3:07:09 time: 0.9033 data_time: 0.0275 memory: 11089 grad_norm: 6.0196 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0668 loss: 1.0668 2022/08/04 10:53:40 - mmengine - INFO - Epoch(train) [144][860/1879] lr: 2.0000e-04 eta: 3:06:51 time: 0.9247 data_time: 0.0263 memory: 11089 grad_norm: 6.0998 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2089 loss: 1.2089 2022/08/04 10:53:59 - mmengine - INFO - Epoch(train) [144][880/1879] lr: 2.0000e-04 eta: 3:06:33 time: 0.9414 data_time: 0.0318 memory: 11089 grad_norm: 6.1126 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0282 loss: 1.0282 2022/08/04 10:54:18 - mmengine - INFO - Epoch(train) [144][900/1879] lr: 2.0000e-04 eta: 3:06:14 time: 0.9264 data_time: 0.0329 memory: 11089 grad_norm: 6.0295 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9760 loss: 0.9760 2022/08/04 10:54:36 - mmengine - INFO - Epoch(train) [144][920/1879] lr: 2.0000e-04 eta: 3:05:56 time: 0.9276 data_time: 0.0257 memory: 11089 grad_norm: 6.0364 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1620 loss: 1.1620 2022/08/04 10:54:54 - mmengine - INFO - Epoch(train) [144][940/1879] lr: 2.0000e-04 eta: 3:05:38 time: 0.9169 data_time: 0.0280 memory: 11089 grad_norm: 5.8811 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0619 loss: 1.0619 2022/08/04 10:55:13 - mmengine - INFO - Epoch(train) [144][960/1879] lr: 2.0000e-04 eta: 3:05:20 time: 0.9257 data_time: 0.0319 memory: 11089 grad_norm: 6.0444 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8634 loss: 0.8634 2022/08/04 10:55:31 - mmengine - INFO - Epoch(train) [144][980/1879] lr: 2.0000e-04 eta: 3:05:02 time: 0.9133 data_time: 0.0288 memory: 11089 grad_norm: 6.0033 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1593 loss: 1.1593 2022/08/04 10:55:50 - mmengine - INFO - Epoch(train) [144][1000/1879] lr: 2.0000e-04 eta: 3:04:43 time: 0.9264 data_time: 0.0291 memory: 11089 grad_norm: 5.9225 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1852 loss: 1.1852 2022/08/04 10:56:08 - mmengine - INFO - Epoch(train) [144][1020/1879] lr: 2.0000e-04 eta: 3:04:25 time: 0.9152 data_time: 0.0257 memory: 11089 grad_norm: 6.1423 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1001 loss: 1.1001 2022/08/04 10:56:26 - mmengine - INFO - Epoch(train) [144][1040/1879] lr: 2.0000e-04 eta: 3:04:07 time: 0.9107 data_time: 0.0287 memory: 11089 grad_norm: 6.1485 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9902 loss: 0.9902 2022/08/04 10:56:44 - mmengine - INFO - Epoch(train) [144][1060/1879] lr: 2.0000e-04 eta: 3:03:49 time: 0.8974 data_time: 0.0205 memory: 11089 grad_norm: 5.9121 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2881 loss: 1.2881 2022/08/04 10:57:03 - mmengine - INFO - Epoch(train) [144][1080/1879] lr: 2.0000e-04 eta: 3:03:30 time: 0.9177 data_time: 0.0252 memory: 11089 grad_norm: 6.2160 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1364 loss: 1.1364 2022/08/04 10:57:21 - mmengine - INFO - Epoch(train) [144][1100/1879] lr: 2.0000e-04 eta: 3:03:12 time: 0.9281 data_time: 0.0241 memory: 11089 grad_norm: 6.0052 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0581 loss: 1.0581 2022/08/04 10:57:40 - mmengine - INFO - Epoch(train) [144][1120/1879] lr: 2.0000e-04 eta: 3:02:54 time: 0.9188 data_time: 0.0264 memory: 11089 grad_norm: 5.8194 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1216 loss: 1.1216 2022/08/04 10:57:58 - mmengine - INFO - Epoch(train) [144][1140/1879] lr: 2.0000e-04 eta: 3:02:36 time: 0.9225 data_time: 0.0291 memory: 11089 grad_norm: 6.0493 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3077 loss: 1.3077 2022/08/04 10:58:16 - mmengine - INFO - Epoch(train) [144][1160/1879] lr: 2.0000e-04 eta: 3:02:17 time: 0.9085 data_time: 0.0269 memory: 11089 grad_norm: 5.8995 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1585 loss: 1.1585 2022/08/04 10:58:35 - mmengine - INFO - Epoch(train) [144][1180/1879] lr: 2.0000e-04 eta: 3:01:59 time: 0.9198 data_time: 0.0306 memory: 11089 grad_norm: 5.9676 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3538 loss: 1.3538 2022/08/04 10:58:53 - mmengine - INFO - Epoch(train) [144][1200/1879] lr: 2.0000e-04 eta: 3:01:41 time: 0.9084 data_time: 0.0250 memory: 11089 grad_norm: 6.1160 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1446 loss: 1.1446 2022/08/04 10:59:11 - mmengine - INFO - Epoch(train) [144][1220/1879] lr: 2.0000e-04 eta: 3:01:23 time: 0.8998 data_time: 0.0252 memory: 11089 grad_norm: 5.9200 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0595 loss: 1.0595 2022/08/04 10:59:30 - mmengine - INFO - Epoch(train) [144][1240/1879] lr: 2.0000e-04 eta: 3:01:04 time: 0.9472 data_time: 0.0419 memory: 11089 grad_norm: 6.1232 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0978 loss: 1.0978 2022/08/04 10:59:48 - mmengine - INFO - Epoch(train) [144][1260/1879] lr: 2.0000e-04 eta: 3:00:46 time: 0.9185 data_time: 0.0348 memory: 11089 grad_norm: 5.8909 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1416 loss: 1.1416 2022/08/04 11:00:07 - mmengine - INFO - Epoch(train) [144][1280/1879] lr: 2.0000e-04 eta: 3:00:28 time: 0.9240 data_time: 0.0281 memory: 11089 grad_norm: 6.1048 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9649 loss: 0.9649 2022/08/04 11:00:25 - mmengine - INFO - Epoch(train) [144][1300/1879] lr: 2.0000e-04 eta: 3:00:10 time: 0.9088 data_time: 0.0280 memory: 11089 grad_norm: 5.8831 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0273 loss: 1.0273 2022/08/04 11:00:28 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 11:00:43 - mmengine - INFO - Epoch(train) [144][1320/1879] lr: 2.0000e-04 eta: 2:59:52 time: 0.9102 data_time: 0.0258 memory: 11089 grad_norm: 5.9934 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0732 loss: 1.0732 2022/08/04 11:01:02 - mmengine - INFO - Epoch(train) [144][1340/1879] lr: 2.0000e-04 eta: 2:59:33 time: 0.9366 data_time: 0.0259 memory: 11089 grad_norm: 6.1063 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0630 loss: 1.0630 2022/08/04 11:01:20 - mmengine - INFO - Epoch(train) [144][1360/1879] lr: 2.0000e-04 eta: 2:59:15 time: 0.9276 data_time: 0.0227 memory: 11089 grad_norm: 6.1330 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1561 loss: 1.1561 2022/08/04 11:01:39 - mmengine - INFO - Epoch(train) [144][1380/1879] lr: 2.0000e-04 eta: 2:58:57 time: 0.9169 data_time: 0.0330 memory: 11089 grad_norm: 6.1423 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1924 loss: 1.1924 2022/08/04 11:01:58 - mmengine - INFO - Epoch(train) [144][1400/1879] lr: 2.0000e-04 eta: 2:58:39 time: 0.9504 data_time: 0.0389 memory: 11089 grad_norm: 6.0295 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1575 loss: 1.1575 2022/08/04 11:02:16 - mmengine - INFO - Epoch(train) [144][1420/1879] lr: 2.0000e-04 eta: 2:58:20 time: 0.9269 data_time: 0.0309 memory: 11089 grad_norm: 6.1052 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0684 loss: 1.0684 2022/08/04 11:02:34 - mmengine - INFO - Epoch(train) [144][1440/1879] lr: 2.0000e-04 eta: 2:58:02 time: 0.9088 data_time: 0.0327 memory: 11089 grad_norm: 5.9379 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0978 loss: 1.0978 2022/08/04 11:02:53 - mmengine - INFO - Epoch(train) [144][1460/1879] lr: 2.0000e-04 eta: 2:57:44 time: 0.9216 data_time: 0.0307 memory: 11089 grad_norm: 5.9753 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1353 loss: 1.1353 2022/08/04 11:03:10 - mmengine - INFO - Epoch(train) [144][1480/1879] lr: 2.0000e-04 eta: 2:57:26 time: 0.8734 data_time: 0.0271 memory: 11089 grad_norm: 6.0508 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1487 loss: 1.1487 2022/08/04 11:03:28 - mmengine - INFO - Epoch(train) [144][1500/1879] lr: 2.0000e-04 eta: 2:57:07 time: 0.8919 data_time: 0.0223 memory: 11089 grad_norm: 5.9646 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1304 loss: 1.1304 2022/08/04 11:03:46 - mmengine - INFO - Epoch(train) [144][1520/1879] lr: 2.0000e-04 eta: 2:56:49 time: 0.9075 data_time: 0.0307 memory: 11089 grad_norm: 6.0605 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2015 loss: 1.2015 2022/08/04 11:04:05 - mmengine - INFO - Epoch(train) [144][1540/1879] lr: 2.0000e-04 eta: 2:56:31 time: 0.9366 data_time: 0.0287 memory: 11089 grad_norm: 6.1913 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1073 loss: 1.1073 2022/08/04 11:04:24 - mmengine - INFO - Epoch(train) [144][1560/1879] lr: 2.0000e-04 eta: 2:56:13 time: 0.9253 data_time: 0.0337 memory: 11089 grad_norm: 5.9702 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0593 loss: 1.0593 2022/08/04 11:04:42 - mmengine - INFO - Epoch(train) [144][1580/1879] lr: 2.0000e-04 eta: 2:55:54 time: 0.9366 data_time: 0.0287 memory: 11089 grad_norm: 5.9897 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0126 loss: 1.0126 2022/08/04 11:05:00 - mmengine - INFO - Epoch(train) [144][1600/1879] lr: 2.0000e-04 eta: 2:55:36 time: 0.9031 data_time: 0.0220 memory: 11089 grad_norm: 6.0836 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2265 loss: 1.2265 2022/08/04 11:05:19 - mmengine - INFO - Epoch(train) [144][1620/1879] lr: 2.0000e-04 eta: 2:55:18 time: 0.9253 data_time: 0.0274 memory: 11089 grad_norm: 5.9544 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.1247 loss: 1.1247 2022/08/04 11:05:37 - mmengine - INFO - Epoch(train) [144][1640/1879] lr: 2.0000e-04 eta: 2:55:00 time: 0.9147 data_time: 0.0258 memory: 11089 grad_norm: 5.9363 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1334 loss: 1.1334 2022/08/04 11:05:56 - mmengine - INFO - Epoch(train) [144][1660/1879] lr: 2.0000e-04 eta: 2:54:42 time: 0.9269 data_time: 0.0319 memory: 11089 grad_norm: 5.9588 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0365 loss: 1.0365 2022/08/04 11:06:14 - mmengine - INFO - Epoch(train) [144][1680/1879] lr: 2.0000e-04 eta: 2:54:23 time: 0.9110 data_time: 0.0316 memory: 11089 grad_norm: 6.0747 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1994 loss: 1.1994 2022/08/04 11:06:32 - mmengine - INFO - Epoch(train) [144][1700/1879] lr: 2.0000e-04 eta: 2:54:05 time: 0.9268 data_time: 0.0317 memory: 11089 grad_norm: 5.9929 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2744 loss: 1.2744 2022/08/04 11:06:51 - mmengine - INFO - Epoch(train) [144][1720/1879] lr: 2.0000e-04 eta: 2:53:47 time: 0.9072 data_time: 0.0236 memory: 11089 grad_norm: 6.0169 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0586 loss: 1.0586 2022/08/04 11:07:09 - mmengine - INFO - Epoch(train) [144][1740/1879] lr: 2.0000e-04 eta: 2:53:29 time: 0.9069 data_time: 0.0253 memory: 11089 grad_norm: 6.1913 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.1608 loss: 1.1608 2022/08/04 11:07:27 - mmengine - INFO - Epoch(train) [144][1760/1879] lr: 2.0000e-04 eta: 2:53:10 time: 0.9126 data_time: 0.0232 memory: 11089 grad_norm: 6.0555 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1245 loss: 1.1245 2022/08/04 11:07:45 - mmengine - INFO - Epoch(train) [144][1780/1879] lr: 2.0000e-04 eta: 2:52:52 time: 0.8988 data_time: 0.0208 memory: 11089 grad_norm: 5.9367 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2168 loss: 1.2168 2022/08/04 11:08:04 - mmengine - INFO - Epoch(train) [144][1800/1879] lr: 2.0000e-04 eta: 2:52:34 time: 0.9267 data_time: 0.0236 memory: 11089 grad_norm: 6.0546 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0543 loss: 1.0543 2022/08/04 11:08:22 - mmengine - INFO - Epoch(train) [144][1820/1879] lr: 2.0000e-04 eta: 2:52:16 time: 0.9111 data_time: 0.0280 memory: 11089 grad_norm: 6.0523 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9905 loss: 0.9905 2022/08/04 11:08:40 - mmengine - INFO - Epoch(train) [144][1840/1879] lr: 2.0000e-04 eta: 2:51:57 time: 0.9129 data_time: 0.0314 memory: 11089 grad_norm: 6.0460 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2634 loss: 1.2634 2022/08/04 11:08:58 - mmengine - INFO - Epoch(train) [144][1860/1879] lr: 2.0000e-04 eta: 2:51:39 time: 0.8995 data_time: 0.0213 memory: 11089 grad_norm: 6.0715 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0623 loss: 1.0623 2022/08/04 11:09:16 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 11:09:16 - mmengine - INFO - Epoch(train) [144][1879/1879] lr: 2.0000e-04 eta: 2:51:39 time: 0.9309 data_time: 0.0245 memory: 11089 grad_norm: 6.1187 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.9800 loss: 0.9800 2022/08/04 11:09:16 - mmengine - INFO - Saving checkpoint at 144 epochs 2022/08/04 11:09:39 - mmengine - INFO - Epoch(train) [145][20/1879] lr: 2.0000e-04 eta: 2:51:03 time: 0.9945 data_time: 0.1222 memory: 11089 grad_norm: 6.0243 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0778 loss: 1.0778 2022/08/04 11:09:57 - mmengine - INFO - Epoch(train) [145][40/1879] lr: 2.0000e-04 eta: 2:50:45 time: 0.9011 data_time: 0.0236 memory: 11089 grad_norm: 6.0446 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2006 loss: 1.2006 2022/08/04 11:10:15 - mmengine - INFO - Epoch(train) [145][60/1879] lr: 2.0000e-04 eta: 2:50:26 time: 0.9348 data_time: 0.0278 memory: 11089 grad_norm: 5.9887 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1963 loss: 1.1963 2022/08/04 11:10:34 - mmengine - INFO - Epoch(train) [145][80/1879] lr: 2.0000e-04 eta: 2:50:08 time: 0.9191 data_time: 0.0303 memory: 11089 grad_norm: 6.1037 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9326 loss: 0.9326 2022/08/04 11:10:52 - mmengine - INFO - Epoch(train) [145][100/1879] lr: 2.0000e-04 eta: 2:49:50 time: 0.9180 data_time: 0.0271 memory: 11089 grad_norm: 5.9847 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1420 loss: 1.1420 2022/08/04 11:11:10 - mmengine - INFO - Epoch(train) [145][120/1879] lr: 2.0000e-04 eta: 2:49:32 time: 0.9162 data_time: 0.0269 memory: 11089 grad_norm: 6.0140 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9625 loss: 0.9625 2022/08/04 11:11:29 - mmengine - INFO - Epoch(train) [145][140/1879] lr: 2.0000e-04 eta: 2:49:13 time: 0.9196 data_time: 0.0276 memory: 11089 grad_norm: 5.7877 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0839 loss: 1.0839 2022/08/04 11:11:48 - mmengine - INFO - Epoch(train) [145][160/1879] lr: 2.0000e-04 eta: 2:48:55 time: 0.9417 data_time: 0.0293 memory: 11089 grad_norm: 5.8543 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1489 loss: 1.1489 2022/08/04 11:12:06 - mmengine - INFO - Epoch(train) [145][180/1879] lr: 2.0000e-04 eta: 2:48:37 time: 0.9105 data_time: 0.0345 memory: 11089 grad_norm: 6.2696 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2595 loss: 1.2595 2022/08/04 11:12:24 - mmengine - INFO - Epoch(train) [145][200/1879] lr: 2.0000e-04 eta: 2:48:19 time: 0.9109 data_time: 0.0264 memory: 11089 grad_norm: 6.0846 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2517 loss: 1.2517 2022/08/04 11:12:42 - mmengine - INFO - Epoch(train) [145][220/1879] lr: 2.0000e-04 eta: 2:48:01 time: 0.9103 data_time: 0.0291 memory: 11089 grad_norm: 6.0949 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3302 loss: 1.3302 2022/08/04 11:13:00 - mmengine - INFO - Epoch(train) [145][240/1879] lr: 2.0000e-04 eta: 2:47:42 time: 0.9076 data_time: 0.0238 memory: 11089 grad_norm: 6.0871 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2346 loss: 1.2346 2022/08/04 11:13:18 - mmengine - INFO - Epoch(train) [145][260/1879] lr: 2.0000e-04 eta: 2:47:24 time: 0.9015 data_time: 0.0199 memory: 11089 grad_norm: 6.0692 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0571 loss: 1.0571 2022/08/04 11:13:37 - mmengine - INFO - Epoch(train) [145][280/1879] lr: 2.0000e-04 eta: 2:47:06 time: 0.9097 data_time: 0.0263 memory: 11089 grad_norm: 6.1564 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1063 loss: 1.1063 2022/08/04 11:13:55 - mmengine - INFO - Epoch(train) [145][300/1879] lr: 2.0000e-04 eta: 2:46:48 time: 0.9073 data_time: 0.0237 memory: 11089 grad_norm: 5.8282 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0196 loss: 1.0196 2022/08/04 11:14:13 - mmengine - INFO - Epoch(train) [145][320/1879] lr: 2.0000e-04 eta: 2:46:29 time: 0.9111 data_time: 0.0241 memory: 11089 grad_norm: 5.9488 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8474 loss: 0.8474 2022/08/04 11:14:32 - mmengine - INFO - Epoch(train) [145][340/1879] lr: 2.0000e-04 eta: 2:46:11 time: 0.9279 data_time: 0.0282 memory: 11089 grad_norm: 5.9837 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0370 loss: 1.0370 2022/08/04 11:14:50 - mmengine - INFO - Epoch(train) [145][360/1879] lr: 2.0000e-04 eta: 2:45:53 time: 0.9204 data_time: 0.0346 memory: 11089 grad_norm: 5.9101 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0454 loss: 1.0454 2022/08/04 11:15:08 - mmengine - INFO - Epoch(train) [145][380/1879] lr: 2.0000e-04 eta: 2:45:35 time: 0.9042 data_time: 0.0250 memory: 11089 grad_norm: 6.0502 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9525 loss: 0.9525 2022/08/04 11:15:26 - mmengine - INFO - Epoch(train) [145][400/1879] lr: 2.0000e-04 eta: 2:45:16 time: 0.9019 data_time: 0.0266 memory: 11089 grad_norm: 6.1018 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2099 loss: 1.2099 2022/08/04 11:15:44 - mmengine - INFO - Epoch(train) [145][420/1879] lr: 2.0000e-04 eta: 2:44:58 time: 0.9102 data_time: 0.0274 memory: 11089 grad_norm: 6.1147 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1588 loss: 1.1588 2022/08/04 11:15:48 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 11:16:02 - mmengine - INFO - Epoch(train) [145][440/1879] lr: 2.0000e-04 eta: 2:44:40 time: 0.8852 data_time: 0.0198 memory: 11089 grad_norm: 5.9986 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2430 loss: 1.2430 2022/08/04 11:16:21 - mmengine - INFO - Epoch(train) [145][460/1879] lr: 2.0000e-04 eta: 2:44:22 time: 0.9441 data_time: 0.0292 memory: 11089 grad_norm: 6.1602 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0849 loss: 1.0849 2022/08/04 11:16:39 - mmengine - INFO - Epoch(train) [145][480/1879] lr: 2.0000e-04 eta: 2:44:03 time: 0.8892 data_time: 0.0258 memory: 11089 grad_norm: 5.8880 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9901 loss: 0.9901 2022/08/04 11:16:57 - mmengine - INFO - Epoch(train) [145][500/1879] lr: 2.0000e-04 eta: 2:43:45 time: 0.9247 data_time: 0.0326 memory: 11089 grad_norm: 5.8749 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9654 loss: 0.9654 2022/08/04 11:17:15 - mmengine - INFO - Epoch(train) [145][520/1879] lr: 2.0000e-04 eta: 2:43:27 time: 0.9013 data_time: 0.0232 memory: 11089 grad_norm: 6.0338 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1440 loss: 1.1440 2022/08/04 11:17:34 - mmengine - INFO - Epoch(train) [145][540/1879] lr: 2.0000e-04 eta: 2:43:09 time: 0.9380 data_time: 0.0309 memory: 11089 grad_norm: 6.1735 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1447 loss: 1.1447 2022/08/04 11:17:52 - mmengine - INFO - Epoch(train) [145][560/1879] lr: 2.0000e-04 eta: 2:42:50 time: 0.9206 data_time: 0.0266 memory: 11089 grad_norm: 6.0751 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9811 loss: 0.9811 2022/08/04 11:18:11 - mmengine - INFO - Epoch(train) [145][580/1879] lr: 2.0000e-04 eta: 2:42:32 time: 0.9252 data_time: 0.0302 memory: 11089 grad_norm: 6.0759 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2615 loss: 1.2615 2022/08/04 11:18:29 - mmengine - INFO - Epoch(train) [145][600/1879] lr: 2.0000e-04 eta: 2:42:14 time: 0.9033 data_time: 0.0273 memory: 11089 grad_norm: 6.1764 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3220 loss: 1.3220 2022/08/04 11:18:48 - mmengine - INFO - Epoch(train) [145][620/1879] lr: 2.0000e-04 eta: 2:41:56 time: 0.9262 data_time: 0.0265 memory: 11089 grad_norm: 6.1590 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1263 loss: 1.1263 2022/08/04 11:19:06 - mmengine - INFO - Epoch(train) [145][640/1879] lr: 2.0000e-04 eta: 2:41:38 time: 0.9106 data_time: 0.0233 memory: 11089 grad_norm: 6.0380 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0339 loss: 1.0339 2022/08/04 11:19:24 - mmengine - INFO - Epoch(train) [145][660/1879] lr: 2.0000e-04 eta: 2:41:19 time: 0.9139 data_time: 0.0278 memory: 11089 grad_norm: 6.1887 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1200 loss: 1.1200 2022/08/04 11:19:43 - mmengine - INFO - Epoch(train) [145][680/1879] lr: 2.0000e-04 eta: 2:41:01 time: 0.9387 data_time: 0.0278 memory: 11089 grad_norm: 6.0938 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3386 loss: 1.3386 2022/08/04 11:20:01 - mmengine - INFO - Epoch(train) [145][700/1879] lr: 2.0000e-04 eta: 2:40:43 time: 0.9138 data_time: 0.0312 memory: 11089 grad_norm: 6.3809 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1957 loss: 1.1957 2022/08/04 11:20:19 - mmengine - INFO - Epoch(train) [145][720/1879] lr: 2.0000e-04 eta: 2:40:25 time: 0.9081 data_time: 0.0317 memory: 11089 grad_norm: 6.2421 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1056 loss: 1.1056 2022/08/04 11:20:38 - mmengine - INFO - Epoch(train) [145][740/1879] lr: 2.0000e-04 eta: 2:40:06 time: 0.9333 data_time: 0.0287 memory: 11089 grad_norm: 6.1108 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0805 loss: 1.0805 2022/08/04 11:20:57 - mmengine - INFO - Epoch(train) [145][760/1879] lr: 2.0000e-04 eta: 2:39:48 time: 0.9212 data_time: 0.0279 memory: 11089 grad_norm: 6.2715 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3222 loss: 1.3222 2022/08/04 11:21:15 - mmengine - INFO - Epoch(train) [145][780/1879] lr: 2.0000e-04 eta: 2:39:30 time: 0.9311 data_time: 0.0341 memory: 11089 grad_norm: 6.1260 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2201 loss: 1.2201 2022/08/04 11:21:33 - mmengine - INFO - Epoch(train) [145][800/1879] lr: 2.0000e-04 eta: 2:39:12 time: 0.9219 data_time: 0.0243 memory: 11089 grad_norm: 6.1395 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2913 loss: 1.2913 2022/08/04 11:21:52 - mmengine - INFO - Epoch(train) [145][820/1879] lr: 2.0000e-04 eta: 2:38:53 time: 0.9245 data_time: 0.0288 memory: 11089 grad_norm: 6.1145 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0585 loss: 1.0585 2022/08/04 11:22:10 - mmengine - INFO - Epoch(train) [145][840/1879] lr: 2.0000e-04 eta: 2:38:35 time: 0.9145 data_time: 0.0268 memory: 11089 grad_norm: 6.1137 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9650 loss: 0.9650 2022/08/04 11:22:29 - mmengine - INFO - Epoch(train) [145][860/1879] lr: 2.0000e-04 eta: 2:38:17 time: 0.9385 data_time: 0.0314 memory: 11089 grad_norm: 6.1235 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2287 loss: 1.2287 2022/08/04 11:22:48 - mmengine - INFO - Epoch(train) [145][880/1879] lr: 2.0000e-04 eta: 2:37:59 time: 0.9238 data_time: 0.0308 memory: 11089 grad_norm: 6.0137 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1808 loss: 1.1808 2022/08/04 11:23:06 - mmengine - INFO - Epoch(train) [145][900/1879] lr: 2.0000e-04 eta: 2:37:41 time: 0.9307 data_time: 0.0289 memory: 11089 grad_norm: 6.0026 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1362 loss: 1.1362 2022/08/04 11:23:25 - mmengine - INFO - Epoch(train) [145][920/1879] lr: 2.0000e-04 eta: 2:37:22 time: 0.9297 data_time: 0.0312 memory: 11089 grad_norm: 5.9235 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0266 loss: 1.0266 2022/08/04 11:23:43 - mmengine - INFO - Epoch(train) [145][940/1879] lr: 2.0000e-04 eta: 2:37:04 time: 0.9247 data_time: 0.0259 memory: 11089 grad_norm: 5.8389 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0647 loss: 1.0647 2022/08/04 11:24:01 - mmengine - INFO - Epoch(train) [145][960/1879] lr: 2.0000e-04 eta: 2:36:46 time: 0.8998 data_time: 0.0311 memory: 11089 grad_norm: 5.9010 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0095 loss: 1.0095 2022/08/04 11:24:20 - mmengine - INFO - Epoch(train) [145][980/1879] lr: 2.0000e-04 eta: 2:36:28 time: 0.9253 data_time: 0.0283 memory: 11089 grad_norm: 6.1208 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1510 loss: 1.1510 2022/08/04 11:24:38 - mmengine - INFO - Epoch(train) [145][1000/1879] lr: 2.0000e-04 eta: 2:36:09 time: 0.9206 data_time: 0.0262 memory: 11089 grad_norm: 5.9426 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1214 loss: 1.1214 2022/08/04 11:24:56 - mmengine - INFO - Epoch(train) [145][1020/1879] lr: 2.0000e-04 eta: 2:35:51 time: 0.9063 data_time: 0.0233 memory: 11089 grad_norm: 5.9071 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1061 loss: 1.1061 2022/08/04 11:25:15 - mmengine - INFO - Epoch(train) [145][1040/1879] lr: 2.0000e-04 eta: 2:35:33 time: 0.9225 data_time: 0.0363 memory: 11089 grad_norm: 6.1683 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1206 loss: 1.1206 2022/08/04 11:25:33 - mmengine - INFO - Epoch(train) [145][1060/1879] lr: 2.0000e-04 eta: 2:35:15 time: 0.9132 data_time: 0.0334 memory: 11089 grad_norm: 6.2156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1349 loss: 1.1349 2022/08/04 11:25:51 - mmengine - INFO - Epoch(train) [145][1080/1879] lr: 2.0000e-04 eta: 2:34:56 time: 0.9168 data_time: 0.0316 memory: 11089 grad_norm: 5.8120 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9717 loss: 0.9717 2022/08/04 11:26:10 - mmengine - INFO - Epoch(train) [145][1100/1879] lr: 2.0000e-04 eta: 2:34:38 time: 0.9277 data_time: 0.0301 memory: 11089 grad_norm: 5.8744 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1842 loss: 1.1842 2022/08/04 11:26:29 - mmengine - INFO - Epoch(train) [145][1120/1879] lr: 2.0000e-04 eta: 2:34:20 time: 0.9382 data_time: 0.0340 memory: 11089 grad_norm: 6.1924 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0632 loss: 1.0632 2022/08/04 11:26:48 - mmengine - INFO - Epoch(train) [145][1140/1879] lr: 2.0000e-04 eta: 2:34:02 time: 0.9465 data_time: 0.0331 memory: 11089 grad_norm: 6.1640 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.0639 loss: 1.0639 2022/08/04 11:27:06 - mmengine - INFO - Epoch(train) [145][1160/1879] lr: 2.0000e-04 eta: 2:33:44 time: 0.9256 data_time: 0.0294 memory: 11089 grad_norm: 6.0188 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1080 loss: 1.1080 2022/08/04 11:27:25 - mmengine - INFO - Epoch(train) [145][1180/1879] lr: 2.0000e-04 eta: 2:33:25 time: 0.9346 data_time: 0.0256 memory: 11089 grad_norm: 6.1035 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2163 loss: 1.2163 2022/08/04 11:27:43 - mmengine - INFO - Epoch(train) [145][1200/1879] lr: 2.0000e-04 eta: 2:33:07 time: 0.9201 data_time: 0.0238 memory: 11089 grad_norm: 5.9587 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1298 loss: 1.1298 2022/08/04 11:28:02 - mmengine - INFO - Epoch(train) [145][1220/1879] lr: 2.0000e-04 eta: 2:32:49 time: 0.9161 data_time: 0.0224 memory: 11089 grad_norm: 5.9600 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0277 loss: 1.0277 2022/08/04 11:28:20 - mmengine - INFO - Epoch(train) [145][1240/1879] lr: 2.0000e-04 eta: 2:32:31 time: 0.9266 data_time: 0.0257 memory: 11089 grad_norm: 5.9472 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0995 loss: 1.0995 2022/08/04 11:28:38 - mmengine - INFO - Epoch(train) [145][1260/1879] lr: 2.0000e-04 eta: 2:32:12 time: 0.9058 data_time: 0.0278 memory: 11089 grad_norm: 6.0616 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1149 loss: 1.1149 2022/08/04 11:28:56 - mmengine - INFO - Epoch(train) [145][1280/1879] lr: 2.0000e-04 eta: 2:31:54 time: 0.9082 data_time: 0.0273 memory: 11089 grad_norm: 6.2263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1728 loss: 1.1728 2022/08/04 11:29:15 - mmengine - INFO - Epoch(train) [145][1300/1879] lr: 2.0000e-04 eta: 2:31:36 time: 0.9371 data_time: 0.0262 memory: 11089 grad_norm: 6.2031 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1697 loss: 1.1697 2022/08/04 11:29:34 - mmengine - INFO - Epoch(train) [145][1320/1879] lr: 2.0000e-04 eta: 2:31:18 time: 0.9294 data_time: 0.0352 memory: 11089 grad_norm: 6.2621 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0477 loss: 1.0477 2022/08/04 11:29:52 - mmengine - INFO - Epoch(train) [145][1340/1879] lr: 2.0000e-04 eta: 2:30:59 time: 0.9066 data_time: 0.0218 memory: 11089 grad_norm: 5.6665 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.1623 loss: 1.1623 2022/08/04 11:30:11 - mmengine - INFO - Epoch(train) [145][1360/1879] lr: 2.0000e-04 eta: 2:30:41 time: 0.9537 data_time: 0.0347 memory: 11089 grad_norm: 5.8488 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1193 loss: 1.1193 2022/08/04 11:30:29 - mmengine - INFO - Epoch(train) [145][1380/1879] lr: 2.0000e-04 eta: 2:30:23 time: 0.9034 data_time: 0.0264 memory: 11089 grad_norm: 5.9990 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1587 loss: 1.1587 2022/08/04 11:30:47 - mmengine - INFO - Epoch(train) [145][1400/1879] lr: 2.0000e-04 eta: 2:30:05 time: 0.9141 data_time: 0.0282 memory: 11089 grad_norm: 6.1527 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0645 loss: 1.0645 2022/08/04 11:31:06 - mmengine - INFO - Epoch(train) [145][1420/1879] lr: 2.0000e-04 eta: 2:29:46 time: 0.9143 data_time: 0.0255 memory: 11089 grad_norm: 5.9220 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0203 loss: 1.0203 2022/08/04 11:31:09 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 11:31:24 - mmengine - INFO - Epoch(train) [145][1440/1879] lr: 2.0000e-04 eta: 2:29:28 time: 0.9302 data_time: 0.0261 memory: 11089 grad_norm: 5.7731 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1398 loss: 1.1398 2022/08/04 11:31:43 - mmengine - INFO - Epoch(train) [145][1460/1879] lr: 2.0000e-04 eta: 2:29:10 time: 0.9172 data_time: 0.0307 memory: 11089 grad_norm: 6.0192 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0625 loss: 1.0625 2022/08/04 11:32:01 - mmengine - INFO - Epoch(train) [145][1480/1879] lr: 2.0000e-04 eta: 2:28:52 time: 0.9239 data_time: 0.0295 memory: 11089 grad_norm: 6.1979 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2504 loss: 1.2504 2022/08/04 11:32:19 - mmengine - INFO - Epoch(train) [145][1500/1879] lr: 2.0000e-04 eta: 2:28:34 time: 0.9135 data_time: 0.0257 memory: 11089 grad_norm: 6.0481 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9400 loss: 0.9400 2022/08/04 11:32:38 - mmengine - INFO - Epoch(train) [145][1520/1879] lr: 2.0000e-04 eta: 2:28:15 time: 0.9062 data_time: 0.0222 memory: 11089 grad_norm: 6.0779 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2053 loss: 1.2053 2022/08/04 11:32:56 - mmengine - INFO - Epoch(train) [145][1540/1879] lr: 2.0000e-04 eta: 2:27:57 time: 0.9030 data_time: 0.0246 memory: 11089 grad_norm: 6.1320 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1634 loss: 1.1634 2022/08/04 11:33:14 - mmengine - INFO - Epoch(train) [145][1560/1879] lr: 2.0000e-04 eta: 2:27:39 time: 0.9332 data_time: 0.0277 memory: 11089 grad_norm: 5.9011 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0371 loss: 1.0371 2022/08/04 11:33:33 - mmengine - INFO - Epoch(train) [145][1580/1879] lr: 2.0000e-04 eta: 2:27:21 time: 0.9542 data_time: 0.0397 memory: 11089 grad_norm: 5.9187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0640 loss: 1.0640 2022/08/04 11:33:52 - mmengine - INFO - Epoch(train) [145][1600/1879] lr: 2.0000e-04 eta: 2:27:02 time: 0.9093 data_time: 0.0255 memory: 11089 grad_norm: 6.1302 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1270 loss: 1.1270 2022/08/04 11:34:10 - mmengine - INFO - Epoch(train) [145][1620/1879] lr: 2.0000e-04 eta: 2:26:44 time: 0.9114 data_time: 0.0296 memory: 11089 grad_norm: 5.9574 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0196 loss: 1.0196 2022/08/04 11:34:28 - mmengine - INFO - Epoch(train) [145][1640/1879] lr: 2.0000e-04 eta: 2:26:26 time: 0.9090 data_time: 0.0251 memory: 11089 grad_norm: 6.0436 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1146 loss: 1.1146 2022/08/04 11:34:46 - mmengine - INFO - Epoch(train) [145][1660/1879] lr: 2.0000e-04 eta: 2:26:08 time: 0.9240 data_time: 0.0276 memory: 11089 grad_norm: 6.1582 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1162 loss: 1.1162 2022/08/04 11:35:05 - mmengine - INFO - Epoch(train) [145][1680/1879] lr: 2.0000e-04 eta: 2:25:49 time: 0.9337 data_time: 0.0247 memory: 11089 grad_norm: 5.9623 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0586 loss: 1.0586 2022/08/04 11:35:23 - mmengine - INFO - Epoch(train) [145][1700/1879] lr: 2.0000e-04 eta: 2:25:31 time: 0.9035 data_time: 0.0256 memory: 11089 grad_norm: 6.1280 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2205 loss: 1.2205 2022/08/04 11:35:42 - mmengine - INFO - Epoch(train) [145][1720/1879] lr: 2.0000e-04 eta: 2:25:13 time: 0.9190 data_time: 0.0223 memory: 11089 grad_norm: 6.0843 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1144 loss: 1.1144 2022/08/04 11:36:00 - mmengine - INFO - Epoch(train) [145][1740/1879] lr: 2.0000e-04 eta: 2:24:55 time: 0.9102 data_time: 0.0250 memory: 11089 grad_norm: 5.9469 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1594 loss: 1.1594 2022/08/04 11:36:18 - mmengine - INFO - Epoch(train) [145][1760/1879] lr: 2.0000e-04 eta: 2:24:36 time: 0.9282 data_time: 0.0211 memory: 11089 grad_norm: 6.0568 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0460 loss: 1.0460 2022/08/04 11:36:37 - mmengine - INFO - Epoch(train) [145][1780/1879] lr: 2.0000e-04 eta: 2:24:18 time: 0.9287 data_time: 0.0316 memory: 11089 grad_norm: 5.8626 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0073 loss: 1.0073 2022/08/04 11:36:55 - mmengine - INFO - Epoch(train) [145][1800/1879] lr: 2.0000e-04 eta: 2:24:00 time: 0.9106 data_time: 0.0246 memory: 11089 grad_norm: 5.9817 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0800 loss: 1.0800 2022/08/04 11:37:13 - mmengine - INFO - Epoch(train) [145][1820/1879] lr: 2.0000e-04 eta: 2:23:42 time: 0.9068 data_time: 0.0270 memory: 11089 grad_norm: 6.2453 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0414 loss: 1.0414 2022/08/04 11:37:32 - mmengine - INFO - Epoch(train) [145][1840/1879] lr: 2.0000e-04 eta: 2:23:24 time: 0.9110 data_time: 0.0259 memory: 11089 grad_norm: 6.0069 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0519 loss: 1.0519 2022/08/04 11:37:50 - mmengine - INFO - Epoch(train) [145][1860/1879] lr: 2.0000e-04 eta: 2:23:05 time: 0.9337 data_time: 0.0276 memory: 11089 grad_norm: 6.1609 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2917 loss: 1.2917 2022/08/04 11:38:07 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 11:38:07 - mmengine - INFO - Epoch(train) [145][1879/1879] lr: 2.0000e-04 eta: 2:23:05 time: 0.9006 data_time: 0.0262 memory: 11089 grad_norm: 6.2920 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.2228 loss: 1.2228 2022/08/04 11:38:17 - mmengine - INFO - Epoch(val) [145][20/155] eta: 0:01:00 time: 0.4517 data_time: 0.1330 memory: 1950 2022/08/04 11:38:23 - mmengine - INFO - Epoch(val) [145][40/155] eta: 0:00:36 time: 0.3190 data_time: 0.0105 memory: 1950 2022/08/04 11:38:29 - mmengine - INFO - Epoch(val) [145][60/155] eta: 0:00:29 time: 0.3146 data_time: 0.0135 memory: 1950 2022/08/04 11:38:36 - mmengine - INFO - Epoch(val) [145][80/155] eta: 0:00:24 time: 0.3281 data_time: 0.0132 memory: 1950 2022/08/04 11:38:42 - mmengine - INFO - Epoch(val) [145][100/155] eta: 0:00:17 time: 0.3254 data_time: 0.0126 memory: 1950 2022/08/04 11:38:49 - mmengine - INFO - Epoch(val) [145][120/155] eta: 0:00:11 time: 0.3344 data_time: 0.0127 memory: 1950 2022/08/04 11:38:57 - mmengine - INFO - Epoch(val) [145][140/155] eta: 0:00:05 time: 0.3845 data_time: 0.0105 memory: 1950 2022/08/04 11:39:04 - mmengine - INFO - Epoch(val) [145][155/155] acc/top1: 0.6938 acc/top5: 0.8843 acc/mean1: 0.6937 2022/08/04 11:39:04 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb/best_acc/top1_epoch_131.pth is removed 2022/08/04 11:39:06 - mmengine - INFO - The best checkpoint with 0.6938 acc/top1 at 146 epoch is saved to best_acc/top1_epoch_146.pth. 2022/08/04 11:39:26 - mmengine - INFO - Epoch(train) [146][20/1879] lr: 2.0000e-04 eta: 2:22:29 time: 0.9939 data_time: 0.1064 memory: 11089 grad_norm: 5.9368 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1810 loss: 1.1810 2022/08/04 11:39:44 - mmengine - INFO - Epoch(train) [146][40/1879] lr: 2.0000e-04 eta: 2:22:11 time: 0.9180 data_time: 0.0244 memory: 11089 grad_norm: 5.9920 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1932 loss: 1.1932 2022/08/04 11:40:03 - mmengine - INFO - Epoch(train) [146][60/1879] lr: 2.0000e-04 eta: 2:21:53 time: 0.9320 data_time: 0.0312 memory: 11089 grad_norm: 6.0384 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9914 loss: 0.9914 2022/08/04 11:40:22 - mmengine - INFO - Epoch(train) [146][80/1879] lr: 2.0000e-04 eta: 2:21:35 time: 0.9407 data_time: 0.0340 memory: 11089 grad_norm: 6.0363 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1496 loss: 1.1496 2022/08/04 11:40:40 - mmengine - INFO - Epoch(train) [146][100/1879] lr: 2.0000e-04 eta: 2:21:16 time: 0.9210 data_time: 0.0287 memory: 11089 grad_norm: 5.8964 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1101 loss: 1.1101 2022/08/04 11:40:58 - mmengine - INFO - Epoch(train) [146][120/1879] lr: 2.0000e-04 eta: 2:20:58 time: 0.9089 data_time: 0.0292 memory: 11089 grad_norm: 5.8722 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8552 loss: 0.8552 2022/08/04 11:41:17 - mmengine - INFO - Epoch(train) [146][140/1879] lr: 2.0000e-04 eta: 2:20:40 time: 0.9141 data_time: 0.0279 memory: 11089 grad_norm: 5.9925 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2949 loss: 1.2949 2022/08/04 11:41:35 - mmengine - INFO - Epoch(train) [146][160/1879] lr: 2.0000e-04 eta: 2:20:22 time: 0.9210 data_time: 0.0273 memory: 11089 grad_norm: 5.9361 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0926 loss: 1.0926 2022/08/04 11:41:53 - mmengine - INFO - Epoch(train) [146][180/1879] lr: 2.0000e-04 eta: 2:20:03 time: 0.9057 data_time: 0.0304 memory: 11089 grad_norm: 5.8689 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8459 loss: 0.8459 2022/08/04 11:42:11 - mmengine - INFO - Epoch(train) [146][200/1879] lr: 2.0000e-04 eta: 2:19:45 time: 0.9051 data_time: 0.0254 memory: 11089 grad_norm: 6.0713 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0829 loss: 1.0829 2022/08/04 11:42:30 - mmengine - INFO - Epoch(train) [146][220/1879] lr: 2.0000e-04 eta: 2:19:27 time: 0.9319 data_time: 0.0312 memory: 11089 grad_norm: 6.0127 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1560 loss: 1.1560 2022/08/04 11:42:48 - mmengine - INFO - Epoch(train) [146][240/1879] lr: 2.0000e-04 eta: 2:19:09 time: 0.9168 data_time: 0.0266 memory: 11089 grad_norm: 5.9896 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0003 loss: 1.0003 2022/08/04 11:43:07 - mmengine - INFO - Epoch(train) [146][260/1879] lr: 2.0000e-04 eta: 2:18:50 time: 0.9276 data_time: 0.0281 memory: 11089 grad_norm: 5.7607 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8655 loss: 0.8655 2022/08/04 11:43:25 - mmengine - INFO - Epoch(train) [146][280/1879] lr: 2.0000e-04 eta: 2:18:32 time: 0.9271 data_time: 0.0266 memory: 11089 grad_norm: 5.9797 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0998 loss: 1.0998 2022/08/04 11:43:44 - mmengine - INFO - Epoch(train) [146][300/1879] lr: 2.0000e-04 eta: 2:18:14 time: 0.9375 data_time: 0.0324 memory: 11089 grad_norm: 6.2193 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0008 loss: 1.0008 2022/08/04 11:44:03 - mmengine - INFO - Epoch(train) [146][320/1879] lr: 2.0000e-04 eta: 2:17:56 time: 0.9194 data_time: 0.0339 memory: 11089 grad_norm: 6.0377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1714 loss: 1.1714 2022/08/04 11:44:21 - mmengine - INFO - Epoch(train) [146][340/1879] lr: 2.0000e-04 eta: 2:17:37 time: 0.9353 data_time: 0.0277 memory: 11089 grad_norm: 6.0142 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1721 loss: 1.1721 2022/08/04 11:44:40 - mmengine - INFO - Epoch(train) [146][360/1879] lr: 2.0000e-04 eta: 2:17:19 time: 0.9230 data_time: 0.0262 memory: 11089 grad_norm: 6.1085 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1764 loss: 1.1764 2022/08/04 11:44:58 - mmengine - INFO - Epoch(train) [146][380/1879] lr: 2.0000e-04 eta: 2:17:01 time: 0.9122 data_time: 0.0296 memory: 11089 grad_norm: 5.9578 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1423 loss: 1.1423 2022/08/04 11:45:17 - mmengine - INFO - Epoch(train) [146][400/1879] lr: 2.0000e-04 eta: 2:16:43 time: 0.9366 data_time: 0.0273 memory: 11089 grad_norm: 6.0558 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1146 loss: 1.1146 2022/08/04 11:45:35 - mmengine - INFO - Epoch(train) [146][420/1879] lr: 2.0000e-04 eta: 2:16:25 time: 0.9318 data_time: 0.0372 memory: 11089 grad_norm: 6.2273 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2326 loss: 1.2326 2022/08/04 11:45:54 - mmengine - INFO - Epoch(train) [146][440/1879] lr: 2.0000e-04 eta: 2:16:06 time: 0.9095 data_time: 0.0287 memory: 11089 grad_norm: 6.0661 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1658 loss: 1.1658 2022/08/04 11:46:12 - mmengine - INFO - Epoch(train) [146][460/1879] lr: 2.0000e-04 eta: 2:15:48 time: 0.9468 data_time: 0.0328 memory: 11089 grad_norm: 6.0085 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0506 loss: 1.0506 2022/08/04 11:46:31 - mmengine - INFO - Epoch(train) [146][480/1879] lr: 2.0000e-04 eta: 2:15:30 time: 0.9253 data_time: 0.0264 memory: 11089 grad_norm: 5.8235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2004 loss: 1.2004 2022/08/04 11:46:49 - mmengine - INFO - Epoch(train) [146][500/1879] lr: 2.0000e-04 eta: 2:15:12 time: 0.9115 data_time: 0.0257 memory: 11089 grad_norm: 5.9172 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1200 loss: 1.1200 2022/08/04 11:47:07 - mmengine - INFO - Epoch(train) [146][520/1879] lr: 2.0000e-04 eta: 2:14:53 time: 0.9042 data_time: 0.0251 memory: 11089 grad_norm: 6.1483 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0813 loss: 1.0813 2022/08/04 11:47:26 - mmengine - INFO - Epoch(train) [146][540/1879] lr: 2.0000e-04 eta: 2:14:35 time: 0.9153 data_time: 0.0217 memory: 11089 grad_norm: 6.1070 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0224 loss: 1.0224 2022/08/04 11:47:30 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 11:47:44 - mmengine - INFO - Epoch(train) [146][560/1879] lr: 2.0000e-04 eta: 2:14:17 time: 0.9004 data_time: 0.0205 memory: 11089 grad_norm: 6.1000 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9816 loss: 0.9816 2022/08/04 11:48:03 - mmengine - INFO - Epoch(train) [146][580/1879] lr: 2.0000e-04 eta: 2:13:59 time: 0.9511 data_time: 0.0320 memory: 11089 grad_norm: 6.0997 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0531 loss: 1.0531 2022/08/04 11:48:22 - mmengine - INFO - Epoch(train) [146][600/1879] lr: 2.0000e-04 eta: 2:13:40 time: 0.9473 data_time: 0.0303 memory: 11089 grad_norm: 6.2335 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0147 loss: 1.0147 2022/08/04 11:48:40 - mmengine - INFO - Epoch(train) [146][620/1879] lr: 2.0000e-04 eta: 2:13:22 time: 0.9243 data_time: 0.0290 memory: 11089 grad_norm: 6.1145 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3024 loss: 1.3024 2022/08/04 11:48:59 - mmengine - INFO - Epoch(train) [146][640/1879] lr: 2.0000e-04 eta: 2:13:04 time: 0.9295 data_time: 0.0223 memory: 11089 grad_norm: 6.0273 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0992 loss: 1.0992 2022/08/04 11:49:18 - mmengine - INFO - Epoch(train) [146][660/1879] lr: 2.0000e-04 eta: 2:12:46 time: 0.9493 data_time: 0.0335 memory: 11089 grad_norm: 6.0761 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1962 loss: 1.1962 2022/08/04 11:49:36 - mmengine - INFO - Epoch(train) [146][680/1879] lr: 2.0000e-04 eta: 2:12:28 time: 0.9059 data_time: 0.0252 memory: 11089 grad_norm: 5.9549 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9740 loss: 0.9740 2022/08/04 11:49:54 - mmengine - INFO - Epoch(train) [146][700/1879] lr: 2.0000e-04 eta: 2:12:09 time: 0.9309 data_time: 0.0245 memory: 11089 grad_norm: 6.0680 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1342 loss: 1.1342 2022/08/04 11:50:13 - mmengine - INFO - Epoch(train) [146][720/1879] lr: 2.0000e-04 eta: 2:11:51 time: 0.9209 data_time: 0.0260 memory: 11089 grad_norm: 6.0848 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2232 loss: 1.2232 2022/08/04 11:50:31 - mmengine - INFO - Epoch(train) [146][740/1879] lr: 2.0000e-04 eta: 2:11:33 time: 0.9072 data_time: 0.0215 memory: 11089 grad_norm: 6.1140 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1468 loss: 1.1468 2022/08/04 11:50:50 - mmengine - INFO - Epoch(train) [146][760/1879] lr: 2.0000e-04 eta: 2:11:15 time: 0.9328 data_time: 0.0288 memory: 11089 grad_norm: 6.0519 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0601 loss: 1.0601 2022/08/04 11:51:08 - mmengine - INFO - Epoch(train) [146][780/1879] lr: 2.0000e-04 eta: 2:10:56 time: 0.9342 data_time: 0.0301 memory: 11089 grad_norm: 5.9609 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0023 loss: 1.0023 2022/08/04 11:51:27 - mmengine - INFO - Epoch(train) [146][800/1879] lr: 2.0000e-04 eta: 2:10:38 time: 0.9256 data_time: 0.0291 memory: 11089 grad_norm: 6.0351 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1716 loss: 1.1716 2022/08/04 11:51:45 - mmengine - INFO - Epoch(train) [146][820/1879] lr: 2.0000e-04 eta: 2:10:20 time: 0.9161 data_time: 0.0248 memory: 11089 grad_norm: 6.2008 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2945 loss: 1.2945 2022/08/04 11:52:04 - mmengine - INFO - Epoch(train) [146][840/1879] lr: 2.0000e-04 eta: 2:10:02 time: 0.9378 data_time: 0.0277 memory: 11089 grad_norm: 6.1164 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1966 loss: 1.1966 2022/08/04 11:52:23 - mmengine - INFO - Epoch(train) [146][860/1879] lr: 2.0000e-04 eta: 2:09:43 time: 0.9476 data_time: 0.0365 memory: 11089 grad_norm: 6.1000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1900 loss: 1.1900 2022/08/04 11:52:41 - mmengine - INFO - Epoch(train) [146][880/1879] lr: 2.0000e-04 eta: 2:09:25 time: 0.9253 data_time: 0.0328 memory: 11089 grad_norm: 6.1030 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1577 loss: 1.1577 2022/08/04 11:53:00 - mmengine - INFO - Epoch(train) [146][900/1879] lr: 2.0000e-04 eta: 2:09:07 time: 0.9182 data_time: 0.0297 memory: 11089 grad_norm: 6.0402 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1355 loss: 1.1355 2022/08/04 11:53:18 - mmengine - INFO - Epoch(train) [146][920/1879] lr: 2.0000e-04 eta: 2:08:49 time: 0.9074 data_time: 0.0258 memory: 11089 grad_norm: 5.9477 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8459 loss: 0.8459 2022/08/04 11:53:36 - mmengine - INFO - Epoch(train) [146][940/1879] lr: 2.0000e-04 eta: 2:08:31 time: 0.9061 data_time: 0.0239 memory: 11089 grad_norm: 6.0839 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1386 loss: 1.1386 2022/08/04 11:53:54 - mmengine - INFO - Epoch(train) [146][960/1879] lr: 2.0000e-04 eta: 2:08:12 time: 0.9112 data_time: 0.0258 memory: 11089 grad_norm: 6.0126 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0634 loss: 1.0634 2022/08/04 11:54:13 - mmengine - INFO - Epoch(train) [146][980/1879] lr: 2.0000e-04 eta: 2:07:54 time: 0.9072 data_time: 0.0251 memory: 11089 grad_norm: 5.9908 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0121 loss: 1.0121 2022/08/04 11:54:31 - mmengine - INFO - Epoch(train) [146][1000/1879] lr: 2.0000e-04 eta: 2:07:36 time: 0.9048 data_time: 0.0231 memory: 11089 grad_norm: 6.1969 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1663 loss: 1.1663 2022/08/04 11:54:49 - mmengine - INFO - Epoch(train) [146][1020/1879] lr: 2.0000e-04 eta: 2:07:18 time: 0.9151 data_time: 0.0304 memory: 11089 grad_norm: 6.1147 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0770 loss: 1.0770 2022/08/04 11:55:07 - mmengine - INFO - Epoch(train) [146][1040/1879] lr: 2.0000e-04 eta: 2:06:59 time: 0.9225 data_time: 0.0335 memory: 11089 grad_norm: 6.0933 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3911 loss: 1.3911 2022/08/04 11:55:26 - mmengine - INFO - Epoch(train) [146][1060/1879] lr: 2.0000e-04 eta: 2:06:41 time: 0.9417 data_time: 0.0335 memory: 11089 grad_norm: 6.0842 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0345 loss: 1.0345 2022/08/04 11:55:45 - mmengine - INFO - Epoch(train) [146][1080/1879] lr: 2.0000e-04 eta: 2:06:23 time: 0.9188 data_time: 0.0338 memory: 11089 grad_norm: 6.2876 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1804 loss: 1.1804 2022/08/04 11:56:03 - mmengine - INFO - Epoch(train) [146][1100/1879] lr: 2.0000e-04 eta: 2:06:05 time: 0.9110 data_time: 0.0252 memory: 11089 grad_norm: 6.0329 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9817 loss: 0.9817 2022/08/04 11:56:21 - mmengine - INFO - Epoch(train) [146][1120/1879] lr: 2.0000e-04 eta: 2:05:46 time: 0.9171 data_time: 0.0268 memory: 11089 grad_norm: 6.1750 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1275 loss: 1.1275 2022/08/04 11:56:39 - mmengine - INFO - Epoch(train) [146][1140/1879] lr: 2.0000e-04 eta: 2:05:28 time: 0.8994 data_time: 0.0231 memory: 11089 grad_norm: 6.0947 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1727 loss: 1.1727 2022/08/04 11:56:57 - mmengine - INFO - Epoch(train) [146][1160/1879] lr: 2.0000e-04 eta: 2:05:10 time: 0.9141 data_time: 0.0221 memory: 11089 grad_norm: 6.0900 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2273 loss: 1.2273 2022/08/04 11:57:17 - mmengine - INFO - Epoch(train) [146][1180/1879] lr: 2.0000e-04 eta: 2:04:52 time: 0.9562 data_time: 0.0427 memory: 11089 grad_norm: 6.0867 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1586 loss: 1.1586 2022/08/04 11:57:35 - mmengine - INFO - Epoch(train) [146][1200/1879] lr: 2.0000e-04 eta: 2:04:33 time: 0.9071 data_time: 0.0273 memory: 11089 grad_norm: 5.8166 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1802 loss: 1.1802 2022/08/04 11:57:53 - mmengine - INFO - Epoch(train) [146][1220/1879] lr: 2.0000e-04 eta: 2:04:15 time: 0.9018 data_time: 0.0271 memory: 11089 grad_norm: 5.9263 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1168 loss: 1.1168 2022/08/04 11:58:11 - mmengine - INFO - Epoch(train) [146][1240/1879] lr: 2.0000e-04 eta: 2:03:57 time: 0.9248 data_time: 0.0302 memory: 11089 grad_norm: 6.1280 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1136 loss: 1.1136 2022/08/04 11:58:30 - mmengine - INFO - Epoch(train) [146][1260/1879] lr: 2.0000e-04 eta: 2:03:39 time: 0.9290 data_time: 0.0328 memory: 11089 grad_norm: 6.0197 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.1345 loss: 1.1345 2022/08/04 11:58:48 - mmengine - INFO - Epoch(train) [146][1280/1879] lr: 2.0000e-04 eta: 2:03:20 time: 0.9053 data_time: 0.0301 memory: 11089 grad_norm: 6.0271 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0788 loss: 1.0788 2022/08/04 11:59:07 - mmengine - INFO - Epoch(train) [146][1300/1879] lr: 2.0000e-04 eta: 2:03:02 time: 0.9381 data_time: 0.0297 memory: 11089 grad_norm: 5.7700 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0989 loss: 1.0989 2022/08/04 11:59:25 - mmengine - INFO - Epoch(train) [146][1320/1879] lr: 2.0000e-04 eta: 2:02:44 time: 0.9197 data_time: 0.0313 memory: 11089 grad_norm: 5.9529 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1199 loss: 1.1199 2022/08/04 11:59:44 - mmengine - INFO - Epoch(train) [146][1340/1879] lr: 2.0000e-04 eta: 2:02:26 time: 0.9210 data_time: 0.0279 memory: 11089 grad_norm: 6.0730 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1057 loss: 1.1057 2022/08/04 12:00:06 - mmengine - INFO - Epoch(train) [146][1360/1879] lr: 2.0000e-04 eta: 2:02:08 time: 1.1019 data_time: 0.0434 memory: 11089 grad_norm: 5.9420 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0902 loss: 1.0902 2022/08/04 12:00:24 - mmengine - INFO - Epoch(train) [146][1380/1879] lr: 2.0000e-04 eta: 2:01:49 time: 0.9119 data_time: 0.0239 memory: 11089 grad_norm: 6.0274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1872 loss: 1.1872 2022/08/04 12:00:42 - mmengine - INFO - Epoch(train) [146][1400/1879] lr: 2.0000e-04 eta: 2:01:31 time: 0.9112 data_time: 0.0293 memory: 11089 grad_norm: 6.1351 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9494 loss: 0.9494 2022/08/04 12:01:01 - mmengine - INFO - Epoch(train) [146][1420/1879] lr: 2.0000e-04 eta: 2:01:13 time: 0.9292 data_time: 0.0274 memory: 11089 grad_norm: 5.9959 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2277 loss: 1.2277 2022/08/04 12:01:19 - mmengine - INFO - Epoch(train) [146][1440/1879] lr: 2.0000e-04 eta: 2:00:55 time: 0.9104 data_time: 0.0278 memory: 11089 grad_norm: 6.2735 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0760 loss: 1.0760 2022/08/04 12:01:38 - mmengine - INFO - Epoch(train) [146][1460/1879] lr: 2.0000e-04 eta: 2:00:36 time: 0.9312 data_time: 0.0262 memory: 11089 grad_norm: 6.2354 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2508 loss: 1.2508 2022/08/04 12:01:57 - mmengine - INFO - Epoch(train) [146][1480/1879] lr: 2.0000e-04 eta: 2:00:18 time: 0.9627 data_time: 0.0446 memory: 11089 grad_norm: 6.1259 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3446 loss: 1.3446 2022/08/04 12:02:16 - mmengine - INFO - Epoch(train) [146][1500/1879] lr: 2.0000e-04 eta: 2:00:00 time: 0.9362 data_time: 0.0281 memory: 11089 grad_norm: 6.2254 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8967 loss: 0.8967 2022/08/04 12:02:34 - mmengine - INFO - Epoch(train) [146][1520/1879] lr: 2.0000e-04 eta: 1:59:42 time: 0.9384 data_time: 0.0305 memory: 11089 grad_norm: 6.0526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0729 loss: 1.0729 2022/08/04 12:02:53 - mmengine - INFO - Epoch(train) [146][1540/1879] lr: 2.0000e-04 eta: 1:59:24 time: 0.9293 data_time: 0.0274 memory: 11089 grad_norm: 6.3019 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2188 loss: 1.2188 2022/08/04 12:02:57 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 12:03:11 - mmengine - INFO - Epoch(train) [146][1560/1879] lr: 2.0000e-04 eta: 1:59:05 time: 0.9202 data_time: 0.0222 memory: 11089 grad_norm: 6.2360 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0577 loss: 1.0577 2022/08/04 12:03:29 - mmengine - INFO - Epoch(train) [146][1580/1879] lr: 2.0000e-04 eta: 1:58:47 time: 0.8848 data_time: 0.0215 memory: 11089 grad_norm: 5.9620 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9232 loss: 0.9232 2022/08/04 12:03:47 - mmengine - INFO - Epoch(train) [146][1600/1879] lr: 2.0000e-04 eta: 1:58:29 time: 0.9025 data_time: 0.0213 memory: 11089 grad_norm: 6.0313 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1866 loss: 1.1866 2022/08/04 12:04:06 - mmengine - INFO - Epoch(train) [146][1620/1879] lr: 2.0000e-04 eta: 1:58:11 time: 0.9214 data_time: 0.0343 memory: 11089 grad_norm: 6.0746 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2091 loss: 1.2091 2022/08/04 12:04:24 - mmengine - INFO - Epoch(train) [146][1640/1879] lr: 2.0000e-04 eta: 1:57:52 time: 0.9069 data_time: 0.0240 memory: 11089 grad_norm: 5.9758 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0717 loss: 1.0717 2022/08/04 12:04:42 - mmengine - INFO - Epoch(train) [146][1660/1879] lr: 2.0000e-04 eta: 1:57:34 time: 0.9294 data_time: 0.0325 memory: 11089 grad_norm: 6.0968 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0150 loss: 1.0150 2022/08/04 12:05:01 - mmengine - INFO - Epoch(train) [146][1680/1879] lr: 2.0000e-04 eta: 1:57:16 time: 0.9268 data_time: 0.0300 memory: 11089 grad_norm: 5.9737 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0722 loss: 1.0722 2022/08/04 12:05:19 - mmengine - INFO - Epoch(train) [146][1700/1879] lr: 2.0000e-04 eta: 1:56:58 time: 0.9325 data_time: 0.0305 memory: 11089 grad_norm: 5.9363 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0812 loss: 1.0812 2022/08/04 12:05:38 - mmengine - INFO - Epoch(train) [146][1720/1879] lr: 2.0000e-04 eta: 1:56:39 time: 0.9211 data_time: 0.0295 memory: 11089 grad_norm: 5.9875 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1216 loss: 1.1216 2022/08/04 12:05:56 - mmengine - INFO - Epoch(train) [146][1740/1879] lr: 2.0000e-04 eta: 1:56:21 time: 0.9144 data_time: 0.0312 memory: 11089 grad_norm: 6.0082 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9280 loss: 0.9280 2022/08/04 12:06:15 - mmengine - INFO - Epoch(train) [146][1760/1879] lr: 2.0000e-04 eta: 1:56:03 time: 0.9149 data_time: 0.0240 memory: 11089 grad_norm: 5.9112 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2281 loss: 1.2281 2022/08/04 12:06:33 - mmengine - INFO - Epoch(train) [146][1780/1879] lr: 2.0000e-04 eta: 1:55:45 time: 0.9102 data_time: 0.0259 memory: 11089 grad_norm: 5.9840 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9166 loss: 0.9166 2022/08/04 12:06:51 - mmengine - INFO - Epoch(train) [146][1800/1879] lr: 2.0000e-04 eta: 1:55:26 time: 0.9048 data_time: 0.0252 memory: 11089 grad_norm: 5.8529 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0391 loss: 1.0391 2022/08/04 12:07:09 - mmengine - INFO - Epoch(train) [146][1820/1879] lr: 2.0000e-04 eta: 1:55:08 time: 0.8945 data_time: 0.0256 memory: 11089 grad_norm: 6.0995 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2183 loss: 1.2183 2022/08/04 12:07:27 - mmengine - INFO - Epoch(train) [146][1840/1879] lr: 2.0000e-04 eta: 1:54:50 time: 0.9313 data_time: 0.0252 memory: 11089 grad_norm: 5.9796 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0570 loss: 1.0570 2022/08/04 12:07:46 - mmengine - INFO - Epoch(train) [146][1860/1879] lr: 2.0000e-04 eta: 1:54:32 time: 0.9231 data_time: 0.0348 memory: 11089 grad_norm: 6.1507 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2249 loss: 1.2249 2022/08/04 12:08:03 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 12:08:03 - mmengine - INFO - Epoch(train) [146][1879/1879] lr: 2.0000e-04 eta: 1:54:32 time: 0.9137 data_time: 0.0295 memory: 11089 grad_norm: 6.8330 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.3807 loss: 1.3807 2022/08/04 12:08:24 - mmengine - INFO - Epoch(train) [147][20/1879] lr: 2.0000e-04 eta: 1:53:56 time: 1.0215 data_time: 0.1588 memory: 11089 grad_norm: 6.0679 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0216 loss: 1.0216 2022/08/04 12:08:43 - mmengine - INFO - Epoch(train) [147][40/1879] lr: 2.0000e-04 eta: 1:53:38 time: 0.9554 data_time: 0.0318 memory: 11089 grad_norm: 6.0261 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0839 loss: 1.0839 2022/08/04 12:09:02 - mmengine - INFO - Epoch(train) [147][60/1879] lr: 2.0000e-04 eta: 1:53:19 time: 0.9410 data_time: 0.0286 memory: 11089 grad_norm: 6.0746 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0331 loss: 1.0331 2022/08/04 12:09:20 - mmengine - INFO - Epoch(train) [147][80/1879] lr: 2.0000e-04 eta: 1:53:01 time: 0.9150 data_time: 0.0337 memory: 11089 grad_norm: 5.9548 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0975 loss: 1.0975 2022/08/04 12:09:39 - mmengine - INFO - Epoch(train) [147][100/1879] lr: 2.0000e-04 eta: 1:52:43 time: 0.9291 data_time: 0.0300 memory: 11089 grad_norm: 6.0447 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9453 loss: 0.9453 2022/08/04 12:09:57 - mmengine - INFO - Epoch(train) [147][120/1879] lr: 2.0000e-04 eta: 1:52:25 time: 0.8963 data_time: 0.0184 memory: 11089 grad_norm: 5.9871 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0523 loss: 1.0523 2022/08/04 12:10:15 - mmengine - INFO - Epoch(train) [147][140/1879] lr: 2.0000e-04 eta: 1:52:06 time: 0.9326 data_time: 0.0316 memory: 11089 grad_norm: 5.8539 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9005 loss: 0.9005 2022/08/04 12:10:33 - mmengine - INFO - Epoch(train) [147][160/1879] lr: 2.0000e-04 eta: 1:51:48 time: 0.9127 data_time: 0.0339 memory: 11089 grad_norm: 5.8936 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0439 loss: 1.0439 2022/08/04 12:10:52 - mmengine - INFO - Epoch(train) [147][180/1879] lr: 2.0000e-04 eta: 1:51:30 time: 0.9252 data_time: 0.0267 memory: 11089 grad_norm: 6.0727 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2291 loss: 1.2291 2022/08/04 12:11:10 - mmengine - INFO - Epoch(train) [147][200/1879] lr: 2.0000e-04 eta: 1:51:12 time: 0.9217 data_time: 0.0282 memory: 11089 grad_norm: 6.1318 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0938 loss: 1.0938 2022/08/04 12:11:29 - mmengine - INFO - Epoch(train) [147][220/1879] lr: 2.0000e-04 eta: 1:50:53 time: 0.9364 data_time: 0.0332 memory: 11089 grad_norm: 6.1496 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.1251 loss: 1.1251 2022/08/04 12:11:48 - mmengine - INFO - Epoch(train) [147][240/1879] lr: 2.0000e-04 eta: 1:50:35 time: 0.9266 data_time: 0.0283 memory: 11089 grad_norm: 6.0978 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2303 loss: 1.2303 2022/08/04 12:12:06 - mmengine - INFO - Epoch(train) [147][260/1879] lr: 2.0000e-04 eta: 1:50:17 time: 0.9258 data_time: 0.0278 memory: 11089 grad_norm: 5.8717 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1769 loss: 1.1769 2022/08/04 12:12:24 - mmengine - INFO - Epoch(train) [147][280/1879] lr: 2.0000e-04 eta: 1:49:59 time: 0.9081 data_time: 0.0263 memory: 11089 grad_norm: 5.9682 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1066 loss: 1.1066 2022/08/04 12:12:43 - mmengine - INFO - Epoch(train) [147][300/1879] lr: 2.0000e-04 eta: 1:49:41 time: 0.9206 data_time: 0.0280 memory: 11089 grad_norm: 5.9574 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0099 loss: 1.0099 2022/08/04 12:13:01 - mmengine - INFO - Epoch(train) [147][320/1879] lr: 2.0000e-04 eta: 1:49:22 time: 0.9208 data_time: 0.0264 memory: 11089 grad_norm: 5.8174 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0445 loss: 1.0445 2022/08/04 12:13:20 - mmengine - INFO - Epoch(train) [147][340/1879] lr: 2.0000e-04 eta: 1:49:04 time: 0.9221 data_time: 0.0276 memory: 11089 grad_norm: 5.8927 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9593 loss: 0.9593 2022/08/04 12:13:38 - mmengine - INFO - Epoch(train) [147][360/1879] lr: 2.0000e-04 eta: 1:48:46 time: 0.9187 data_time: 0.0270 memory: 11089 grad_norm: 6.2013 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2067 loss: 1.2067 2022/08/04 12:13:57 - mmengine - INFO - Epoch(train) [147][380/1879] lr: 2.0000e-04 eta: 1:48:28 time: 0.9232 data_time: 0.0295 memory: 11089 grad_norm: 6.0328 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2698 loss: 1.2698 2022/08/04 12:14:15 - mmengine - INFO - Epoch(train) [147][400/1879] lr: 2.0000e-04 eta: 1:48:09 time: 0.9186 data_time: 0.0272 memory: 11089 grad_norm: 6.0691 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1550 loss: 1.1550 2022/08/04 12:14:33 - mmengine - INFO - Epoch(train) [147][420/1879] lr: 2.0000e-04 eta: 1:47:51 time: 0.9212 data_time: 0.0252 memory: 11089 grad_norm: 5.9744 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0959 loss: 1.0959 2022/08/04 12:14:52 - mmengine - INFO - Epoch(train) [147][440/1879] lr: 2.0000e-04 eta: 1:47:33 time: 0.9102 data_time: 0.0219 memory: 11089 grad_norm: 5.9975 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9138 loss: 0.9138 2022/08/04 12:15:10 - mmengine - INFO - Epoch(train) [147][460/1879] lr: 2.0000e-04 eta: 1:47:15 time: 0.9132 data_time: 0.0291 memory: 11089 grad_norm: 6.0765 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0986 loss: 1.0986 2022/08/04 12:15:28 - mmengine - INFO - Epoch(train) [147][480/1879] lr: 2.0000e-04 eta: 1:46:56 time: 0.9087 data_time: 0.0253 memory: 11089 grad_norm: 6.3203 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3552 loss: 1.3552 2022/08/04 12:15:46 - mmengine - INFO - Epoch(train) [147][500/1879] lr: 2.0000e-04 eta: 1:46:38 time: 0.9157 data_time: 0.0326 memory: 11089 grad_norm: 6.0816 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1368 loss: 1.1368 2022/08/04 12:16:05 - mmengine - INFO - Epoch(train) [147][520/1879] lr: 2.0000e-04 eta: 1:46:20 time: 0.9233 data_time: 0.0247 memory: 11089 grad_norm: 6.1131 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1048 loss: 1.1048 2022/08/04 12:16:23 - mmengine - INFO - Epoch(train) [147][540/1879] lr: 2.0000e-04 eta: 1:46:02 time: 0.9262 data_time: 0.0293 memory: 11089 grad_norm: 6.1823 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1243 loss: 1.1243 2022/08/04 12:16:42 - mmengine - INFO - Epoch(train) [147][560/1879] lr: 2.0000e-04 eta: 1:45:43 time: 0.9169 data_time: 0.0248 memory: 11089 grad_norm: 5.9084 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1200 loss: 1.1200 2022/08/04 12:17:00 - mmengine - INFO - Epoch(train) [147][580/1879] lr: 2.0000e-04 eta: 1:45:25 time: 0.9109 data_time: 0.0308 memory: 11089 grad_norm: 6.1330 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0640 loss: 1.0640 2022/08/04 12:17:18 - mmengine - INFO - Epoch(train) [147][600/1879] lr: 2.0000e-04 eta: 1:45:07 time: 0.9139 data_time: 0.0305 memory: 11089 grad_norm: 5.8164 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0790 loss: 1.0790 2022/08/04 12:17:37 - mmengine - INFO - Epoch(train) [147][620/1879] lr: 2.0000e-04 eta: 1:44:49 time: 0.9268 data_time: 0.0293 memory: 11089 grad_norm: 6.2657 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0470 loss: 1.0470 2022/08/04 12:17:55 - mmengine - INFO - Epoch(train) [147][640/1879] lr: 2.0000e-04 eta: 1:44:30 time: 0.9290 data_time: 0.0270 memory: 11089 grad_norm: 6.2291 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1004 loss: 1.1004 2022/08/04 12:18:14 - mmengine - INFO - Epoch(train) [147][660/1879] lr: 2.0000e-04 eta: 1:44:12 time: 0.9408 data_time: 0.0250 memory: 11089 grad_norm: 5.8554 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0864 loss: 1.0864 2022/08/04 12:18:20 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 12:18:32 - mmengine - INFO - Epoch(train) [147][680/1879] lr: 2.0000e-04 eta: 1:43:54 time: 0.9054 data_time: 0.0218 memory: 11089 grad_norm: 5.9500 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1965 loss: 1.1965 2022/08/04 12:18:50 - mmengine - INFO - Epoch(train) [147][700/1879] lr: 2.0000e-04 eta: 1:43:36 time: 0.8902 data_time: 0.0201 memory: 11089 grad_norm: 6.0150 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0814 loss: 1.0814 2022/08/04 12:19:08 - mmengine - INFO - Epoch(train) [147][720/1879] lr: 2.0000e-04 eta: 1:43:18 time: 0.9067 data_time: 0.0233 memory: 11089 grad_norm: 6.0773 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0913 loss: 1.0913 2022/08/04 12:19:27 - mmengine - INFO - Epoch(train) [147][740/1879] lr: 2.0000e-04 eta: 1:42:59 time: 0.9126 data_time: 0.0262 memory: 11089 grad_norm: 6.0065 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2204 loss: 1.2204 2022/08/04 12:19:45 - mmengine - INFO - Epoch(train) [147][760/1879] lr: 2.0000e-04 eta: 1:42:41 time: 0.9501 data_time: 0.0327 memory: 11089 grad_norm: 6.0589 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9937 loss: 0.9937 2022/08/04 12:20:04 - mmengine - INFO - Epoch(train) [147][780/1879] lr: 2.0000e-04 eta: 1:42:23 time: 0.9434 data_time: 0.0328 memory: 11089 grad_norm: 6.1056 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0360 loss: 1.0360 2022/08/04 12:20:23 - mmengine - INFO - Epoch(train) [147][800/1879] lr: 2.0000e-04 eta: 1:42:05 time: 0.9392 data_time: 0.0286 memory: 11089 grad_norm: 5.9429 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0189 loss: 1.0189 2022/08/04 12:20:42 - mmengine - INFO - Epoch(train) [147][820/1879] lr: 2.0000e-04 eta: 1:41:46 time: 0.9390 data_time: 0.0308 memory: 11089 grad_norm: 6.0508 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1003 loss: 1.1003 2022/08/04 12:21:01 - mmengine - INFO - Epoch(train) [147][840/1879] lr: 2.0000e-04 eta: 1:41:28 time: 0.9276 data_time: 0.0401 memory: 11089 grad_norm: 5.9570 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0031 loss: 1.0031 2022/08/04 12:21:19 - mmengine - INFO - Epoch(train) [147][860/1879] lr: 2.0000e-04 eta: 1:41:10 time: 0.9153 data_time: 0.0286 memory: 11089 grad_norm: 6.0122 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2052 loss: 1.2052 2022/08/04 12:21:37 - mmengine - INFO - Epoch(train) [147][880/1879] lr: 2.0000e-04 eta: 1:40:52 time: 0.9322 data_time: 0.0269 memory: 11089 grad_norm: 5.9014 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0920 loss: 1.0920 2022/08/04 12:21:56 - mmengine - INFO - Epoch(train) [147][900/1879] lr: 2.0000e-04 eta: 1:40:33 time: 0.9255 data_time: 0.0267 memory: 11089 grad_norm: 6.1187 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0215 loss: 1.0215 2022/08/04 12:22:14 - mmengine - INFO - Epoch(train) [147][920/1879] lr: 2.0000e-04 eta: 1:40:15 time: 0.9098 data_time: 0.0254 memory: 11089 grad_norm: 6.0997 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0997 loss: 1.0997 2022/08/04 12:22:33 - mmengine - INFO - Epoch(train) [147][940/1879] lr: 2.0000e-04 eta: 1:39:57 time: 0.9395 data_time: 0.0296 memory: 11089 grad_norm: 6.0480 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0404 loss: 1.0404 2022/08/04 12:22:51 - mmengine - INFO - Epoch(train) [147][960/1879] lr: 2.0000e-04 eta: 1:39:39 time: 0.9126 data_time: 0.0255 memory: 11089 grad_norm: 6.1137 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9883 loss: 0.9883 2022/08/04 12:23:10 - mmengine - INFO - Epoch(train) [147][980/1879] lr: 2.0000e-04 eta: 1:39:21 time: 0.9264 data_time: 0.0237 memory: 11089 grad_norm: 6.0906 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9679 loss: 0.9679 2022/08/04 12:23:29 - mmengine - INFO - Epoch(train) [147][1000/1879] lr: 2.0000e-04 eta: 1:39:02 time: 0.9491 data_time: 0.0315 memory: 11089 grad_norm: 5.9069 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0199 loss: 1.0199 2022/08/04 12:23:48 - mmengine - INFO - Epoch(train) [147][1020/1879] lr: 2.0000e-04 eta: 1:38:44 time: 0.9378 data_time: 0.0317 memory: 11089 grad_norm: 5.9809 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0790 loss: 1.0790 2022/08/04 12:24:06 - mmengine - INFO - Epoch(train) [147][1040/1879] lr: 2.0000e-04 eta: 1:38:26 time: 0.9350 data_time: 0.0262 memory: 11089 grad_norm: 6.0401 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2494 loss: 1.2494 2022/08/04 12:24:25 - mmengine - INFO - Epoch(train) [147][1060/1879] lr: 2.0000e-04 eta: 1:38:08 time: 0.9380 data_time: 0.0282 memory: 11089 grad_norm: 6.2313 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0784 loss: 1.0784 2022/08/04 12:24:44 - mmengine - INFO - Epoch(train) [147][1080/1879] lr: 2.0000e-04 eta: 1:37:49 time: 0.9258 data_time: 0.0300 memory: 11089 grad_norm: 6.2127 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1910 loss: 1.1910 2022/08/04 12:25:02 - mmengine - INFO - Epoch(train) [147][1100/1879] lr: 2.0000e-04 eta: 1:37:31 time: 0.9263 data_time: 0.0221 memory: 11089 grad_norm: 5.9089 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1808 loss: 1.1808 2022/08/04 12:25:20 - mmengine - INFO - Epoch(train) [147][1120/1879] lr: 2.0000e-04 eta: 1:37:13 time: 0.9128 data_time: 0.0237 memory: 11089 grad_norm: 6.0165 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1811 loss: 1.1811 2022/08/04 12:25:39 - mmengine - INFO - Epoch(train) [147][1140/1879] lr: 2.0000e-04 eta: 1:36:55 time: 0.9142 data_time: 0.0265 memory: 11089 grad_norm: 6.0574 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1139 loss: 1.1139 2022/08/04 12:25:57 - mmengine - INFO - Epoch(train) [147][1160/1879] lr: 2.0000e-04 eta: 1:36:36 time: 0.9280 data_time: 0.0323 memory: 11089 grad_norm: 6.1151 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2456 loss: 1.2456 2022/08/04 12:26:16 - mmengine - INFO - Epoch(train) [147][1180/1879] lr: 2.0000e-04 eta: 1:36:18 time: 0.9179 data_time: 0.0244 memory: 11089 grad_norm: 6.0161 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1524 loss: 1.1524 2022/08/04 12:26:34 - mmengine - INFO - Epoch(train) [147][1200/1879] lr: 2.0000e-04 eta: 1:36:00 time: 0.9360 data_time: 0.0274 memory: 11089 grad_norm: 6.0702 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1265 loss: 1.1265 2022/08/04 12:26:53 - mmengine - INFO - Epoch(train) [147][1220/1879] lr: 2.0000e-04 eta: 1:35:42 time: 0.9157 data_time: 0.0258 memory: 11089 grad_norm: 6.1495 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2188 loss: 1.2188 2022/08/04 12:27:11 - mmengine - INFO - Epoch(train) [147][1240/1879] lr: 2.0000e-04 eta: 1:35:23 time: 0.9061 data_time: 0.0299 memory: 11089 grad_norm: 6.0131 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1150 loss: 1.1150 2022/08/04 12:27:29 - mmengine - INFO - Epoch(train) [147][1260/1879] lr: 2.0000e-04 eta: 1:35:05 time: 0.9254 data_time: 0.0265 memory: 11089 grad_norm: 6.0644 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0987 loss: 1.0987 2022/08/04 12:27:48 - mmengine - INFO - Epoch(train) [147][1280/1879] lr: 2.0000e-04 eta: 1:34:47 time: 0.9406 data_time: 0.0300 memory: 11089 grad_norm: 5.9515 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1102 loss: 1.1102 2022/08/04 12:28:07 - mmengine - INFO - Epoch(train) [147][1300/1879] lr: 2.0000e-04 eta: 1:34:29 time: 0.9315 data_time: 0.0336 memory: 11089 grad_norm: 6.2765 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0542 loss: 1.0542 2022/08/04 12:28:25 - mmengine - INFO - Epoch(train) [147][1320/1879] lr: 2.0000e-04 eta: 1:34:11 time: 0.9183 data_time: 0.0224 memory: 11089 grad_norm: 5.8734 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0198 loss: 1.0198 2022/08/04 12:28:43 - mmengine - INFO - Epoch(train) [147][1340/1879] lr: 2.0000e-04 eta: 1:33:52 time: 0.9138 data_time: 0.0309 memory: 11089 grad_norm: 5.9681 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1874 loss: 1.1874 2022/08/04 12:29:02 - mmengine - INFO - Epoch(train) [147][1360/1879] lr: 2.0000e-04 eta: 1:33:34 time: 0.9209 data_time: 0.0281 memory: 11089 grad_norm: 5.9988 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2032 loss: 1.2032 2022/08/04 12:29:20 - mmengine - INFO - Epoch(train) [147][1380/1879] lr: 2.0000e-04 eta: 1:33:16 time: 0.9274 data_time: 0.0268 memory: 11089 grad_norm: 6.1838 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1401 loss: 1.1401 2022/08/04 12:29:39 - mmengine - INFO - Epoch(train) [147][1400/1879] lr: 2.0000e-04 eta: 1:32:58 time: 0.9146 data_time: 0.0257 memory: 11089 grad_norm: 6.2126 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0952 loss: 1.0952 2022/08/04 12:29:58 - mmengine - INFO - Epoch(train) [147][1420/1879] lr: 2.0000e-04 eta: 1:32:39 time: 0.9453 data_time: 0.0252 memory: 11089 grad_norm: 6.0705 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0728 loss: 1.0728 2022/08/04 12:30:16 - mmengine - INFO - Epoch(train) [147][1440/1879] lr: 2.0000e-04 eta: 1:32:21 time: 0.9156 data_time: 0.0231 memory: 11089 grad_norm: 5.9759 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0101 loss: 1.0101 2022/08/04 12:30:34 - mmengine - INFO - Epoch(train) [147][1460/1879] lr: 2.0000e-04 eta: 1:32:03 time: 0.9108 data_time: 0.0242 memory: 11089 grad_norm: 5.9847 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9857 loss: 0.9857 2022/08/04 12:30:52 - mmengine - INFO - Epoch(train) [147][1480/1879] lr: 2.0000e-04 eta: 1:31:45 time: 0.9143 data_time: 0.0203 memory: 11089 grad_norm: 6.2556 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9600 loss: 0.9600 2022/08/04 12:31:11 - mmengine - INFO - Epoch(train) [147][1500/1879] lr: 2.0000e-04 eta: 1:31:26 time: 0.9231 data_time: 0.0202 memory: 11089 grad_norm: 6.1858 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0612 loss: 1.0612 2022/08/04 12:31:30 - mmengine - INFO - Epoch(train) [147][1520/1879] lr: 2.0000e-04 eta: 1:31:08 time: 0.9421 data_time: 0.0396 memory: 11089 grad_norm: 5.9231 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1209 loss: 1.1209 2022/08/04 12:31:48 - mmengine - INFO - Epoch(train) [147][1540/1879] lr: 2.0000e-04 eta: 1:30:50 time: 0.9165 data_time: 0.0252 memory: 11089 grad_norm: 6.0940 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1356 loss: 1.1356 2022/08/04 12:32:06 - mmengine - INFO - Epoch(train) [147][1560/1879] lr: 2.0000e-04 eta: 1:30:32 time: 0.9176 data_time: 0.0315 memory: 11089 grad_norm: 5.9985 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0224 loss: 1.0224 2022/08/04 12:32:24 - mmengine - INFO - Epoch(train) [147][1580/1879] lr: 2.0000e-04 eta: 1:30:13 time: 0.8800 data_time: 0.0250 memory: 11089 grad_norm: 6.1185 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1762 loss: 1.1762 2022/08/04 12:32:43 - mmengine - INFO - Epoch(train) [147][1600/1879] lr: 2.0000e-04 eta: 1:29:55 time: 0.9330 data_time: 0.0278 memory: 11089 grad_norm: 6.1588 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1464 loss: 1.1464 2022/08/04 12:33:01 - mmengine - INFO - Epoch(train) [147][1620/1879] lr: 2.0000e-04 eta: 1:29:37 time: 0.9164 data_time: 0.0315 memory: 11089 grad_norm: 6.1194 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0520 loss: 1.0520 2022/08/04 12:33:20 - mmengine - INFO - Epoch(train) [147][1640/1879] lr: 2.0000e-04 eta: 1:29:19 time: 0.9299 data_time: 0.0277 memory: 11089 grad_norm: 6.1036 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0466 loss: 1.0466 2022/08/04 12:33:38 - mmengine - INFO - Epoch(train) [147][1660/1879] lr: 2.0000e-04 eta: 1:29:00 time: 0.9297 data_time: 0.0303 memory: 11089 grad_norm: 5.9443 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3012 loss: 1.3012 2022/08/04 12:33:44 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 12:33:56 - mmengine - INFO - Epoch(train) [147][1680/1879] lr: 2.0000e-04 eta: 1:28:42 time: 0.9028 data_time: 0.0270 memory: 11089 grad_norm: 6.3209 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2038 loss: 1.2038 2022/08/04 12:34:15 - mmengine - INFO - Epoch(train) [147][1700/1879] lr: 2.0000e-04 eta: 1:28:24 time: 0.9379 data_time: 0.0272 memory: 11089 grad_norm: 6.0649 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1394 loss: 1.1394 2022/08/04 12:34:33 - mmengine - INFO - Epoch(train) [147][1720/1879] lr: 2.0000e-04 eta: 1:28:06 time: 0.9088 data_time: 0.0201 memory: 11089 grad_norm: 6.3223 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1394 loss: 1.1394 2022/08/04 12:34:51 - mmengine - INFO - Epoch(train) [147][1740/1879] lr: 2.0000e-04 eta: 1:27:48 time: 0.9045 data_time: 0.0234 memory: 11089 grad_norm: 6.1345 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1315 loss: 1.1315 2022/08/04 12:35:10 - mmengine - INFO - Epoch(train) [147][1760/1879] lr: 2.0000e-04 eta: 1:27:29 time: 0.9173 data_time: 0.0254 memory: 11089 grad_norm: 5.9299 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9393 loss: 0.9393 2022/08/04 12:35:28 - mmengine - INFO - Epoch(train) [147][1780/1879] lr: 2.0000e-04 eta: 1:27:11 time: 0.9165 data_time: 0.0325 memory: 11089 grad_norm: 6.0307 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0855 loss: 1.0855 2022/08/04 12:35:46 - mmengine - INFO - Epoch(train) [147][1800/1879] lr: 2.0000e-04 eta: 1:26:53 time: 0.9059 data_time: 0.0250 memory: 11089 grad_norm: 6.1581 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0651 loss: 1.0651 2022/08/04 12:36:05 - mmengine - INFO - Epoch(train) [147][1820/1879] lr: 2.0000e-04 eta: 1:26:35 time: 0.9432 data_time: 0.0337 memory: 11089 grad_norm: 6.2246 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0974 loss: 1.0974 2022/08/04 12:36:23 - mmengine - INFO - Epoch(train) [147][1840/1879] lr: 2.0000e-04 eta: 1:26:16 time: 0.9182 data_time: 0.0258 memory: 11089 grad_norm: 5.9879 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0077 loss: 1.0077 2022/08/04 12:36:42 - mmengine - INFO - Epoch(train) [147][1860/1879] lr: 2.0000e-04 eta: 1:25:58 time: 0.9150 data_time: 0.0214 memory: 11089 grad_norm: 6.1041 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2126 loss: 1.2126 2022/08/04 12:36:59 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 12:36:59 - mmengine - INFO - Epoch(train) [147][1879/1879] lr: 2.0000e-04 eta: 1:25:58 time: 0.9164 data_time: 0.0295 memory: 11089 grad_norm: 6.4225 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.0200 loss: 1.0200 2022/08/04 12:37:20 - mmengine - INFO - Epoch(train) [148][20/1879] lr: 2.0000e-04 eta: 1:25:22 time: 1.0147 data_time: 0.1429 memory: 11089 grad_norm: 6.1342 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1355 loss: 1.1355 2022/08/04 12:37:38 - mmengine - INFO - Epoch(train) [148][40/1879] lr: 2.0000e-04 eta: 1:25:04 time: 0.9309 data_time: 0.0281 memory: 11089 grad_norm: 5.9546 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0172 loss: 1.0172 2022/08/04 12:37:57 - mmengine - INFO - Epoch(train) [148][60/1879] lr: 2.0000e-04 eta: 1:24:46 time: 0.9256 data_time: 0.0266 memory: 11089 grad_norm: 6.1833 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1582 loss: 1.1582 2022/08/04 12:38:15 - mmengine - INFO - Epoch(train) [148][80/1879] lr: 2.0000e-04 eta: 1:24:28 time: 0.9158 data_time: 0.0231 memory: 11089 grad_norm: 5.9903 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0809 loss: 1.0809 2022/08/04 12:38:33 - mmengine - INFO - Epoch(train) [148][100/1879] lr: 2.0000e-04 eta: 1:24:09 time: 0.9113 data_time: 0.0249 memory: 11089 grad_norm: 6.1174 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1736 loss: 1.1736 2022/08/04 12:38:51 - mmengine - INFO - Epoch(train) [148][120/1879] lr: 2.0000e-04 eta: 1:23:51 time: 0.8922 data_time: 0.0238 memory: 11089 grad_norm: 5.9681 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.0355 loss: 1.0355 2022/08/04 12:39:09 - mmengine - INFO - Epoch(train) [148][140/1879] lr: 2.0000e-04 eta: 1:23:33 time: 0.9046 data_time: 0.0243 memory: 11089 grad_norm: 6.0738 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1549 loss: 1.1549 2022/08/04 12:39:28 - mmengine - INFO - Epoch(train) [148][160/1879] lr: 2.0000e-04 eta: 1:23:15 time: 0.9294 data_time: 0.0340 memory: 11089 grad_norm: 6.0145 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0633 loss: 1.0633 2022/08/04 12:39:46 - mmengine - INFO - Epoch(train) [148][180/1879] lr: 2.0000e-04 eta: 1:22:56 time: 0.9256 data_time: 0.0290 memory: 11089 grad_norm: 6.2819 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.3434 loss: 1.3434 2022/08/04 12:40:05 - mmengine - INFO - Epoch(train) [148][200/1879] lr: 2.0000e-04 eta: 1:22:38 time: 0.9202 data_time: 0.0222 memory: 11089 grad_norm: 6.1211 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1849 loss: 1.1849 2022/08/04 12:40:23 - mmengine - INFO - Epoch(train) [148][220/1879] lr: 2.0000e-04 eta: 1:22:20 time: 0.9101 data_time: 0.0237 memory: 11089 grad_norm: 6.0373 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0583 loss: 1.0583 2022/08/04 12:40:41 - mmengine - INFO - Epoch(train) [148][240/1879] lr: 2.0000e-04 eta: 1:22:02 time: 0.9280 data_time: 0.0353 memory: 11089 grad_norm: 5.8873 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9756 loss: 0.9756 2022/08/04 12:41:00 - mmengine - INFO - Epoch(train) [148][260/1879] lr: 2.0000e-04 eta: 1:21:43 time: 0.9342 data_time: 0.0264 memory: 11089 grad_norm: 6.1939 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0625 loss: 1.0625 2022/08/04 12:41:19 - mmengine - INFO - Epoch(train) [148][280/1879] lr: 2.0000e-04 eta: 1:21:25 time: 0.9261 data_time: 0.0190 memory: 11089 grad_norm: 5.8560 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1916 loss: 1.1916 2022/08/04 12:41:37 - mmengine - INFO - Epoch(train) [148][300/1879] lr: 2.0000e-04 eta: 1:21:07 time: 0.9163 data_time: 0.0236 memory: 11089 grad_norm: 5.8665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9647 loss: 0.9647 2022/08/04 12:41:56 - mmengine - INFO - Epoch(train) [148][320/1879] lr: 2.0000e-04 eta: 1:20:49 time: 0.9462 data_time: 0.0265 memory: 11089 grad_norm: 5.9435 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0608 loss: 1.0608 2022/08/04 12:42:15 - mmengine - INFO - Epoch(train) [148][340/1879] lr: 2.0000e-04 eta: 1:20:30 time: 0.9335 data_time: 0.0288 memory: 11089 grad_norm: 5.8258 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9476 loss: 0.9476 2022/08/04 12:42:33 - mmengine - INFO - Epoch(train) [148][360/1879] lr: 2.0000e-04 eta: 1:20:12 time: 0.8991 data_time: 0.0198 memory: 11089 grad_norm: 6.0382 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2858 loss: 1.2858 2022/08/04 12:42:51 - mmengine - INFO - Epoch(train) [148][380/1879] lr: 2.0000e-04 eta: 1:19:54 time: 0.9201 data_time: 0.0233 memory: 11089 grad_norm: 5.9253 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0540 loss: 1.0540 2022/08/04 12:43:10 - mmengine - INFO - Epoch(train) [148][400/1879] lr: 2.0000e-04 eta: 1:19:36 time: 0.9317 data_time: 0.0332 memory: 11089 grad_norm: 5.9970 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9781 loss: 0.9781 2022/08/04 12:43:29 - mmengine - INFO - Epoch(train) [148][420/1879] lr: 2.0000e-04 eta: 1:19:17 time: 0.9442 data_time: 0.0341 memory: 11089 grad_norm: 6.1659 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0345 loss: 1.0345 2022/08/04 12:43:47 - mmengine - INFO - Epoch(train) [148][440/1879] lr: 2.0000e-04 eta: 1:18:59 time: 0.9015 data_time: 0.0213 memory: 11089 grad_norm: 6.2033 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1893 loss: 1.1893 2022/08/04 12:44:05 - mmengine - INFO - Epoch(train) [148][460/1879] lr: 2.0000e-04 eta: 1:18:41 time: 0.9340 data_time: 0.0335 memory: 11089 grad_norm: 6.1094 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2686 loss: 1.2686 2022/08/04 12:44:23 - mmengine - INFO - Epoch(train) [148][480/1879] lr: 2.0000e-04 eta: 1:18:23 time: 0.9044 data_time: 0.0279 memory: 11089 grad_norm: 6.2348 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0594 loss: 1.0594 2022/08/04 12:44:42 - mmengine - INFO - Epoch(train) [148][500/1879] lr: 2.0000e-04 eta: 1:18:05 time: 0.9160 data_time: 0.0320 memory: 11089 grad_norm: 6.1013 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1803 loss: 1.1803 2022/08/04 12:45:00 - mmengine - INFO - Epoch(train) [148][520/1879] lr: 2.0000e-04 eta: 1:17:46 time: 0.9151 data_time: 0.0254 memory: 11089 grad_norm: 6.0707 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1426 loss: 1.1426 2022/08/04 12:45:19 - mmengine - INFO - Epoch(train) [148][540/1879] lr: 2.0000e-04 eta: 1:17:28 time: 0.9455 data_time: 0.0360 memory: 11089 grad_norm: 6.0067 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0966 loss: 1.0966 2022/08/04 12:45:38 - mmengine - INFO - Epoch(train) [148][560/1879] lr: 2.0000e-04 eta: 1:17:10 time: 0.9340 data_time: 0.0303 memory: 11089 grad_norm: 6.0126 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9757 loss: 0.9757 2022/08/04 12:45:57 - mmengine - INFO - Epoch(train) [148][580/1879] lr: 2.0000e-04 eta: 1:16:52 time: 0.9460 data_time: 0.0362 memory: 11089 grad_norm: 6.1444 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0117 loss: 1.0117 2022/08/04 12:46:15 - mmengine - INFO - Epoch(train) [148][600/1879] lr: 2.0000e-04 eta: 1:16:33 time: 0.9385 data_time: 0.0278 memory: 11089 grad_norm: 6.1476 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2728 loss: 1.2728 2022/08/04 12:46:34 - mmengine - INFO - Epoch(train) [148][620/1879] lr: 2.0000e-04 eta: 1:16:15 time: 0.9307 data_time: 0.0237 memory: 11089 grad_norm: 6.0335 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2250 loss: 1.2250 2022/08/04 12:46:52 - mmengine - INFO - Epoch(train) [148][640/1879] lr: 2.0000e-04 eta: 1:15:57 time: 0.8965 data_time: 0.0224 memory: 11089 grad_norm: 5.8747 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0254 loss: 1.0254 2022/08/04 12:47:11 - mmengine - INFO - Epoch(train) [148][660/1879] lr: 2.0000e-04 eta: 1:15:39 time: 0.9303 data_time: 0.0267 memory: 11089 grad_norm: 6.1203 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9252 loss: 0.9252 2022/08/04 12:47:29 - mmengine - INFO - Epoch(train) [148][680/1879] lr: 2.0000e-04 eta: 1:15:20 time: 0.9018 data_time: 0.0232 memory: 11089 grad_norm: 6.1052 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0617 loss: 1.0617 2022/08/04 12:47:47 - mmengine - INFO - Epoch(train) [148][700/1879] lr: 2.0000e-04 eta: 1:15:02 time: 0.9300 data_time: 0.0220 memory: 11089 grad_norm: 6.1135 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.1668 loss: 1.1668 2022/08/04 12:48:06 - mmengine - INFO - Epoch(train) [148][720/1879] lr: 2.0000e-04 eta: 1:14:44 time: 0.9277 data_time: 0.0277 memory: 11089 grad_norm: 5.9703 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9317 loss: 0.9317 2022/08/04 12:48:24 - mmengine - INFO - Epoch(train) [148][740/1879] lr: 2.0000e-04 eta: 1:14:26 time: 0.9040 data_time: 0.0227 memory: 11089 grad_norm: 5.9842 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0768 loss: 1.0768 2022/08/04 12:48:42 - mmengine - INFO - Epoch(train) [148][760/1879] lr: 2.0000e-04 eta: 1:14:07 time: 0.9194 data_time: 0.0244 memory: 11089 grad_norm: 6.1446 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.0888 loss: 1.0888 2022/08/04 12:49:01 - mmengine - INFO - Epoch(train) [148][780/1879] lr: 2.0000e-04 eta: 1:13:49 time: 0.9243 data_time: 0.0327 memory: 11089 grad_norm: 6.2539 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1209 loss: 1.1209 2022/08/04 12:49:07 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 12:49:19 - mmengine - INFO - Epoch(train) [148][800/1879] lr: 2.0000e-04 eta: 1:13:31 time: 0.9058 data_time: 0.0221 memory: 11089 grad_norm: 6.1191 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0905 loss: 1.0905 2022/08/04 12:49:37 - mmengine - INFO - Epoch(train) [148][820/1879] lr: 2.0000e-04 eta: 1:13:13 time: 0.8953 data_time: 0.0199 memory: 11089 grad_norm: 6.1283 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0172 loss: 1.0172 2022/08/04 12:49:55 - mmengine - INFO - Epoch(train) [148][840/1879] lr: 2.0000e-04 eta: 1:12:55 time: 0.9088 data_time: 0.0212 memory: 11089 grad_norm: 5.9826 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1139 loss: 1.1139 2022/08/04 12:50:14 - mmengine - INFO - Epoch(train) [148][860/1879] lr: 2.0000e-04 eta: 1:12:36 time: 0.9352 data_time: 0.0268 memory: 11089 grad_norm: 5.8389 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9044 loss: 0.9044 2022/08/04 12:50:32 - mmengine - INFO - Epoch(train) [148][880/1879] lr: 2.0000e-04 eta: 1:12:18 time: 0.9367 data_time: 0.0276 memory: 11089 grad_norm: 6.0313 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0335 loss: 1.0335 2022/08/04 12:50:51 - mmengine - INFO - Epoch(train) [148][900/1879] lr: 2.0000e-04 eta: 1:12:00 time: 0.9249 data_time: 0.0286 memory: 11089 grad_norm: 6.1414 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0889 loss: 1.0889 2022/08/04 12:51:09 - mmengine - INFO - Epoch(train) [148][920/1879] lr: 2.0000e-04 eta: 1:11:42 time: 0.9222 data_time: 0.0301 memory: 11089 grad_norm: 6.0919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2271 loss: 1.2271 2022/08/04 12:51:28 - mmengine - INFO - Epoch(train) [148][940/1879] lr: 2.0000e-04 eta: 1:11:23 time: 0.9091 data_time: 0.0274 memory: 11089 grad_norm: 6.1020 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9312 loss: 0.9312 2022/08/04 12:51:46 - mmengine - INFO - Epoch(train) [148][960/1879] lr: 2.0000e-04 eta: 1:11:05 time: 0.9228 data_time: 0.0315 memory: 11089 grad_norm: 6.3690 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1911 loss: 1.1911 2022/08/04 12:52:04 - mmengine - INFO - Epoch(train) [148][980/1879] lr: 2.0000e-04 eta: 1:10:47 time: 0.9049 data_time: 0.0256 memory: 11089 grad_norm: 5.9925 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1381 loss: 1.1381 2022/08/04 12:52:22 - mmengine - INFO - Epoch(train) [148][1000/1879] lr: 2.0000e-04 eta: 1:10:29 time: 0.9176 data_time: 0.0249 memory: 11089 grad_norm: 6.1818 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0283 loss: 1.0283 2022/08/04 12:52:41 - mmengine - INFO - Epoch(train) [148][1020/1879] lr: 2.0000e-04 eta: 1:10:10 time: 0.9139 data_time: 0.0266 memory: 11089 grad_norm: 6.0575 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2325 loss: 1.2325 2022/08/04 12:52:59 - mmengine - INFO - Epoch(train) [148][1040/1879] lr: 2.0000e-04 eta: 1:09:52 time: 0.9198 data_time: 0.0235 memory: 11089 grad_norm: 6.1354 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1730 loss: 1.1730 2022/08/04 12:53:18 - mmengine - INFO - Epoch(train) [148][1060/1879] lr: 2.0000e-04 eta: 1:09:34 time: 0.9251 data_time: 0.0266 memory: 11089 grad_norm: 6.2336 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1222 loss: 1.1222 2022/08/04 12:53:36 - mmengine - INFO - Epoch(train) [148][1080/1879] lr: 2.0000e-04 eta: 1:09:16 time: 0.9200 data_time: 0.0291 memory: 11089 grad_norm: 6.2352 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1346 loss: 1.1346 2022/08/04 12:53:54 - mmengine - INFO - Epoch(train) [148][1100/1879] lr: 2.0000e-04 eta: 1:08:57 time: 0.9079 data_time: 0.0215 memory: 11089 grad_norm: 6.1264 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0700 loss: 1.0700 2022/08/04 12:54:13 - mmengine - INFO - Epoch(train) [148][1120/1879] lr: 2.0000e-04 eta: 1:08:39 time: 0.9302 data_time: 0.0298 memory: 11089 grad_norm: 6.2402 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2347 loss: 1.2347 2022/08/04 12:54:32 - mmengine - INFO - Epoch(train) [148][1140/1879] lr: 2.0000e-04 eta: 1:08:21 time: 0.9379 data_time: 0.0308 memory: 11089 grad_norm: 5.9374 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1021 loss: 1.1021 2022/08/04 12:54:50 - mmengine - INFO - Epoch(train) [148][1160/1879] lr: 2.0000e-04 eta: 1:08:03 time: 0.9010 data_time: 0.0236 memory: 11089 grad_norm: 6.0486 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0401 loss: 1.0401 2022/08/04 12:55:08 - mmengine - INFO - Epoch(train) [148][1180/1879] lr: 2.0000e-04 eta: 1:07:44 time: 0.9343 data_time: 0.0320 memory: 11089 grad_norm: 5.9513 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2800 loss: 1.2800 2022/08/04 12:55:26 - mmengine - INFO - Epoch(train) [148][1200/1879] lr: 2.0000e-04 eta: 1:07:26 time: 0.9037 data_time: 0.0225 memory: 11089 grad_norm: 6.3181 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0282 loss: 1.0282 2022/08/04 12:55:45 - mmengine - INFO - Epoch(train) [148][1220/1879] lr: 2.0000e-04 eta: 1:07:08 time: 0.9252 data_time: 0.0285 memory: 11089 grad_norm: 6.0160 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1039 loss: 1.1039 2022/08/04 12:56:03 - mmengine - INFO - Epoch(train) [148][1240/1879] lr: 2.0000e-04 eta: 1:06:50 time: 0.9097 data_time: 0.0239 memory: 11089 grad_norm: 6.0817 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9608 loss: 0.9608 2022/08/04 12:56:21 - mmengine - INFO - Epoch(train) [148][1260/1879] lr: 2.0000e-04 eta: 1:06:32 time: 0.9173 data_time: 0.0261 memory: 11089 grad_norm: 5.9705 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0160 loss: 1.0160 2022/08/04 12:56:40 - mmengine - INFO - Epoch(train) [148][1280/1879] lr: 2.0000e-04 eta: 1:06:13 time: 0.9455 data_time: 0.0318 memory: 11089 grad_norm: 6.0104 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0086 loss: 1.0086 2022/08/04 12:56:59 - mmengine - INFO - Epoch(train) [148][1300/1879] lr: 2.0000e-04 eta: 1:05:55 time: 0.9320 data_time: 0.0237 memory: 11089 grad_norm: 6.2164 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1196 loss: 1.1196 2022/08/04 12:57:18 - mmengine - INFO - Epoch(train) [148][1320/1879] lr: 2.0000e-04 eta: 1:05:37 time: 0.9188 data_time: 0.0266 memory: 11089 grad_norm: 6.6496 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9678 loss: 0.9678 2022/08/04 12:57:36 - mmengine - INFO - Epoch(train) [148][1340/1879] lr: 2.0000e-04 eta: 1:05:19 time: 0.9451 data_time: 0.0380 memory: 11089 grad_norm: 5.9631 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0570 loss: 1.0570 2022/08/04 12:57:55 - mmengine - INFO - Epoch(train) [148][1360/1879] lr: 2.0000e-04 eta: 1:05:00 time: 0.9212 data_time: 0.0249 memory: 11089 grad_norm: 5.9601 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0789 loss: 1.0789 2022/08/04 12:58:14 - mmengine - INFO - Epoch(train) [148][1380/1879] lr: 2.0000e-04 eta: 1:04:42 time: 0.9450 data_time: 0.0344 memory: 11089 grad_norm: 6.0986 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9934 loss: 0.9934 2022/08/04 12:58:32 - mmengine - INFO - Epoch(train) [148][1400/1879] lr: 2.0000e-04 eta: 1:04:24 time: 0.9155 data_time: 0.0222 memory: 11089 grad_norm: 6.1510 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0372 loss: 1.0372 2022/08/04 12:58:51 - mmengine - INFO - Epoch(train) [148][1420/1879] lr: 2.0000e-04 eta: 1:04:06 time: 0.9278 data_time: 0.0242 memory: 11089 grad_norm: 6.1983 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0679 loss: 1.0679 2022/08/04 12:59:09 - mmengine - INFO - Epoch(train) [148][1440/1879] lr: 2.0000e-04 eta: 1:03:47 time: 0.9198 data_time: 0.0295 memory: 11089 grad_norm: 6.1421 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2037 loss: 1.2037 2022/08/04 12:59:28 - mmengine - INFO - Epoch(train) [148][1460/1879] lr: 2.0000e-04 eta: 1:03:29 time: 0.9378 data_time: 0.0256 memory: 11089 grad_norm: 5.9867 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1049 loss: 1.1049 2022/08/04 12:59:46 - mmengine - INFO - Epoch(train) [148][1480/1879] lr: 2.0000e-04 eta: 1:03:11 time: 0.9117 data_time: 0.0250 memory: 11089 grad_norm: 6.0781 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1248 loss: 1.1248 2022/08/04 13:00:04 - mmengine - INFO - Epoch(train) [148][1500/1879] lr: 2.0000e-04 eta: 1:02:53 time: 0.9026 data_time: 0.0257 memory: 11089 grad_norm: 5.9589 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1362 loss: 1.1362 2022/08/04 13:00:22 - mmengine - INFO - Epoch(train) [148][1520/1879] lr: 2.0000e-04 eta: 1:02:34 time: 0.9150 data_time: 0.0298 memory: 11089 grad_norm: 6.0023 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0843 loss: 1.0843 2022/08/04 13:00:41 - mmengine - INFO - Epoch(train) [148][1540/1879] lr: 2.0000e-04 eta: 1:02:16 time: 0.9151 data_time: 0.0236 memory: 11089 grad_norm: 6.0223 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2891 loss: 1.2891 2022/08/04 13:00:59 - mmengine - INFO - Epoch(train) [148][1560/1879] lr: 2.0000e-04 eta: 1:01:58 time: 0.9365 data_time: 0.0248 memory: 11089 grad_norm: 6.1223 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1281 loss: 1.1281 2022/08/04 13:01:18 - mmengine - INFO - Epoch(train) [148][1580/1879] lr: 2.0000e-04 eta: 1:01:40 time: 0.9367 data_time: 0.0358 memory: 11089 grad_norm: 6.1824 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0522 loss: 1.0522 2022/08/04 13:01:36 - mmengine - INFO - Epoch(train) [148][1600/1879] lr: 2.0000e-04 eta: 1:01:21 time: 0.9063 data_time: 0.0254 memory: 11089 grad_norm: 6.0389 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1061 loss: 1.1061 2022/08/04 13:01:54 - mmengine - INFO - Epoch(train) [148][1620/1879] lr: 2.0000e-04 eta: 1:01:03 time: 0.8993 data_time: 0.0257 memory: 11089 grad_norm: 6.1953 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0024 loss: 1.0024 2022/08/04 13:02:13 - mmengine - INFO - Epoch(train) [148][1640/1879] lr: 2.0000e-04 eta: 1:00:45 time: 0.9094 data_time: 0.0225 memory: 11089 grad_norm: 6.1489 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0739 loss: 1.0739 2022/08/04 13:02:32 - mmengine - INFO - Epoch(train) [148][1660/1879] lr: 2.0000e-04 eta: 1:00:27 time: 0.9625 data_time: 0.0394 memory: 11089 grad_norm: 6.1162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0556 loss: 1.0556 2022/08/04 13:02:50 - mmengine - INFO - Epoch(train) [148][1680/1879] lr: 2.0000e-04 eta: 1:00:09 time: 0.9301 data_time: 0.0255 memory: 11089 grad_norm: 6.2075 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3200 loss: 1.3200 2022/08/04 13:03:08 - mmengine - INFO - Epoch(train) [148][1700/1879] lr: 2.0000e-04 eta: 0:59:50 time: 0.8983 data_time: 0.0219 memory: 11089 grad_norm: 6.2916 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2129 loss: 1.2129 2022/08/04 13:03:27 - mmengine - INFO - Epoch(train) [148][1720/1879] lr: 2.0000e-04 eta: 0:59:32 time: 0.9179 data_time: 0.0216 memory: 11089 grad_norm: 6.0978 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1902 loss: 1.1902 2022/08/04 13:03:45 - mmengine - INFO - Epoch(train) [148][1740/1879] lr: 2.0000e-04 eta: 0:59:14 time: 0.9253 data_time: 0.0297 memory: 11089 grad_norm: 6.1519 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2081 loss: 1.2081 2022/08/04 13:04:04 - mmengine - INFO - Epoch(train) [148][1760/1879] lr: 2.0000e-04 eta: 0:58:56 time: 0.9250 data_time: 0.0210 memory: 11089 grad_norm: 5.9730 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1552 loss: 1.1552 2022/08/04 13:04:22 - mmengine - INFO - Epoch(train) [148][1780/1879] lr: 2.0000e-04 eta: 0:58:37 time: 0.9136 data_time: 0.0255 memory: 11089 grad_norm: 6.1938 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1939 loss: 1.1939 2022/08/04 13:04:28 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 13:04:41 - mmengine - INFO - Epoch(train) [148][1800/1879] lr: 2.0000e-04 eta: 0:58:19 time: 0.9432 data_time: 0.0232 memory: 11089 grad_norm: 6.1718 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1291 loss: 1.1291 2022/08/04 13:04:59 - mmengine - INFO - Epoch(train) [148][1820/1879] lr: 2.0000e-04 eta: 0:58:01 time: 0.9135 data_time: 0.0298 memory: 11089 grad_norm: 6.0983 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0726 loss: 1.0726 2022/08/04 13:05:18 - mmengine - INFO - Epoch(train) [148][1840/1879] lr: 2.0000e-04 eta: 0:57:43 time: 0.9459 data_time: 0.0265 memory: 11089 grad_norm: 6.1710 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1540 loss: 1.1540 2022/08/04 13:05:37 - mmengine - INFO - Epoch(train) [148][1860/1879] lr: 2.0000e-04 eta: 0:57:24 time: 0.9326 data_time: 0.0248 memory: 11089 grad_norm: 6.0210 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0363 loss: 1.0363 2022/08/04 13:05:54 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 13:05:54 - mmengine - INFO - Epoch(train) [148][1879/1879] lr: 2.0000e-04 eta: 0:57:24 time: 0.8974 data_time: 0.0249 memory: 11089 grad_norm: 6.4714 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.3435 loss: 1.3435 2022/08/04 13:05:54 - mmengine - INFO - Saving checkpoint at 148 epochs 2022/08/04 13:06:17 - mmengine - INFO - Epoch(train) [149][20/1879] lr: 2.0000e-04 eta: 0:56:49 time: 1.0198 data_time: 0.1194 memory: 11089 grad_norm: 5.9506 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0833 loss: 1.0833 2022/08/04 13:06:35 - mmengine - INFO - Epoch(train) [149][40/1879] lr: 2.0000e-04 eta: 0:56:30 time: 0.9217 data_time: 0.0366 memory: 11089 grad_norm: 5.9894 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9200 loss: 0.9200 2022/08/04 13:06:53 - mmengine - INFO - Epoch(train) [149][60/1879] lr: 2.0000e-04 eta: 0:56:12 time: 0.9197 data_time: 0.0279 memory: 11089 grad_norm: 6.0462 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9118 loss: 0.9118 2022/08/04 13:07:12 - mmengine - INFO - Epoch(train) [149][80/1879] lr: 2.0000e-04 eta: 0:55:54 time: 0.9339 data_time: 0.0312 memory: 11089 grad_norm: 6.2275 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2578 loss: 1.2578 2022/08/04 13:07:31 - mmengine - INFO - Epoch(train) [149][100/1879] lr: 2.0000e-04 eta: 0:55:36 time: 0.9197 data_time: 0.0290 memory: 11089 grad_norm: 6.2875 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2126 loss: 1.2126 2022/08/04 13:07:49 - mmengine - INFO - Epoch(train) [149][120/1879] lr: 2.0000e-04 eta: 0:55:17 time: 0.9268 data_time: 0.0286 memory: 11089 grad_norm: 6.0927 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1571 loss: 1.1571 2022/08/04 13:08:08 - mmengine - INFO - Epoch(train) [149][140/1879] lr: 2.0000e-04 eta: 0:54:59 time: 0.9342 data_time: 0.0403 memory: 11089 grad_norm: 6.0631 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3670 loss: 1.3670 2022/08/04 13:08:27 - mmengine - INFO - Epoch(train) [149][160/1879] lr: 2.0000e-04 eta: 0:54:41 time: 0.9483 data_time: 0.0272 memory: 11089 grad_norm: 6.2789 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2867 loss: 1.2867 2022/08/04 13:08:45 - mmengine - INFO - Epoch(train) [149][180/1879] lr: 2.0000e-04 eta: 0:54:23 time: 0.9158 data_time: 0.0325 memory: 11089 grad_norm: 6.0598 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0187 loss: 1.0187 2022/08/04 13:09:03 - mmengine - INFO - Epoch(train) [149][200/1879] lr: 2.0000e-04 eta: 0:54:04 time: 0.9058 data_time: 0.0209 memory: 11089 grad_norm: 6.0748 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9441 loss: 0.9441 2022/08/04 13:09:22 - mmengine - INFO - Epoch(train) [149][220/1879] lr: 2.0000e-04 eta: 0:53:46 time: 0.9215 data_time: 0.0245 memory: 11089 grad_norm: 6.2004 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0692 loss: 1.0692 2022/08/04 13:09:40 - mmengine - INFO - Epoch(train) [149][240/1879] lr: 2.0000e-04 eta: 0:53:28 time: 0.9154 data_time: 0.0270 memory: 11089 grad_norm: 6.0215 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1474 loss: 1.1474 2022/08/04 13:09:58 - mmengine - INFO - Epoch(train) [149][260/1879] lr: 2.0000e-04 eta: 0:53:10 time: 0.9065 data_time: 0.0217 memory: 11089 grad_norm: 6.1754 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0940 loss: 1.0940 2022/08/04 13:10:16 - mmengine - INFO - Epoch(train) [149][280/1879] lr: 2.0000e-04 eta: 0:52:52 time: 0.9060 data_time: 0.0285 memory: 11089 grad_norm: 5.9581 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9203 loss: 0.9203 2022/08/04 13:10:35 - mmengine - INFO - Epoch(train) [149][300/1879] lr: 2.0000e-04 eta: 0:52:33 time: 0.9378 data_time: 0.0265 memory: 11089 grad_norm: 6.0089 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0379 loss: 1.0379 2022/08/04 13:10:53 - mmengine - INFO - Epoch(train) [149][320/1879] lr: 2.0000e-04 eta: 0:52:15 time: 0.9166 data_time: 0.0225 memory: 11089 grad_norm: 6.0774 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1748 loss: 1.1748 2022/08/04 13:11:11 - mmengine - INFO - Epoch(train) [149][340/1879] lr: 2.0000e-04 eta: 0:51:57 time: 0.9052 data_time: 0.0233 memory: 11089 grad_norm: 6.1282 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1042 loss: 1.1042 2022/08/04 13:11:30 - mmengine - INFO - Epoch(train) [149][360/1879] lr: 2.0000e-04 eta: 0:51:39 time: 0.9323 data_time: 0.0258 memory: 11089 grad_norm: 6.1746 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1542 loss: 1.1542 2022/08/04 13:11:48 - mmengine - INFO - Epoch(train) [149][380/1879] lr: 2.0000e-04 eta: 0:51:20 time: 0.9075 data_time: 0.0228 memory: 11089 grad_norm: 6.3403 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0949 loss: 1.0949 2022/08/04 13:12:06 - mmengine - INFO - Epoch(train) [149][400/1879] lr: 2.0000e-04 eta: 0:51:02 time: 0.9049 data_time: 0.0251 memory: 11089 grad_norm: 6.0744 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0173 loss: 1.0173 2022/08/04 13:12:25 - mmengine - INFO - Epoch(train) [149][420/1879] lr: 2.0000e-04 eta: 0:50:44 time: 0.9292 data_time: 0.0250 memory: 11089 grad_norm: 5.9279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1697 loss: 1.1697 2022/08/04 13:12:44 - mmengine - INFO - Epoch(train) [149][440/1879] lr: 2.0000e-04 eta: 0:50:26 time: 0.9332 data_time: 0.0296 memory: 11089 grad_norm: 6.0272 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9692 loss: 0.9692 2022/08/04 13:13:02 - mmengine - INFO - Epoch(train) [149][460/1879] lr: 2.0000e-04 eta: 0:50:07 time: 0.9293 data_time: 0.0225 memory: 11089 grad_norm: 6.0373 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9582 loss: 0.9582 2022/08/04 13:13:21 - mmengine - INFO - Epoch(train) [149][480/1879] lr: 2.0000e-04 eta: 0:49:49 time: 0.9247 data_time: 0.0306 memory: 11089 grad_norm: 6.2650 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3617 loss: 1.3617 2022/08/04 13:13:39 - mmengine - INFO - Epoch(train) [149][500/1879] lr: 2.0000e-04 eta: 0:49:31 time: 0.9179 data_time: 0.0365 memory: 11089 grad_norm: 6.3513 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0935 loss: 1.0935 2022/08/04 13:13:58 - mmengine - INFO - Epoch(train) [149][520/1879] lr: 2.0000e-04 eta: 0:49:13 time: 0.9308 data_time: 0.0248 memory: 11089 grad_norm: 6.1751 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1140 loss: 1.1140 2022/08/04 13:14:17 - mmengine - INFO - Epoch(train) [149][540/1879] lr: 2.0000e-04 eta: 0:48:54 time: 0.9466 data_time: 0.0312 memory: 11089 grad_norm: 6.2297 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1652 loss: 1.1652 2022/08/04 13:14:35 - mmengine - INFO - Epoch(train) [149][560/1879] lr: 2.0000e-04 eta: 0:48:36 time: 0.9317 data_time: 0.0212 memory: 11089 grad_norm: 6.0293 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.0798 loss: 1.0798 2022/08/04 13:14:54 - mmengine - INFO - Epoch(train) [149][580/1879] lr: 2.0000e-04 eta: 0:48:18 time: 0.9194 data_time: 0.0308 memory: 11089 grad_norm: 6.1062 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 0.9719 loss: 0.9719 2022/08/04 13:15:13 - mmengine - INFO - Epoch(train) [149][600/1879] lr: 2.0000e-04 eta: 0:48:00 time: 0.9677 data_time: 0.0325 memory: 11089 grad_norm: 5.9793 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0848 loss: 1.0848 2022/08/04 13:15:31 - mmengine - INFO - Epoch(train) [149][620/1879] lr: 2.0000e-04 eta: 0:47:41 time: 0.8977 data_time: 0.0247 memory: 11089 grad_norm: 6.2679 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0848 loss: 1.0848 2022/08/04 13:15:49 - mmengine - INFO - Epoch(train) [149][640/1879] lr: 2.0000e-04 eta: 0:47:23 time: 0.9242 data_time: 0.0248 memory: 11089 grad_norm: 6.0599 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0649 loss: 1.0649 2022/08/04 13:16:08 - mmengine - INFO - Epoch(train) [149][660/1879] lr: 2.0000e-04 eta: 0:47:05 time: 0.9194 data_time: 0.0247 memory: 11089 grad_norm: 6.0528 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9869 loss: 0.9869 2022/08/04 13:16:26 - mmengine - INFO - Epoch(train) [149][680/1879] lr: 2.0000e-04 eta: 0:46:47 time: 0.9107 data_time: 0.0247 memory: 11089 grad_norm: 6.1536 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1830 loss: 1.1830 2022/08/04 13:16:45 - mmengine - INFO - Epoch(train) [149][700/1879] lr: 2.0000e-04 eta: 0:46:29 time: 0.9340 data_time: 0.0296 memory: 11089 grad_norm: 5.9550 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0361 loss: 1.0361 2022/08/04 13:17:04 - mmengine - INFO - Epoch(train) [149][720/1879] lr: 2.0000e-04 eta: 0:46:10 time: 0.9391 data_time: 0.0268 memory: 11089 grad_norm: 6.0903 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2534 loss: 1.2534 2022/08/04 13:17:22 - mmengine - INFO - Epoch(train) [149][740/1879] lr: 2.0000e-04 eta: 0:45:52 time: 0.9249 data_time: 0.0244 memory: 11089 grad_norm: 6.1269 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1579 loss: 1.1579 2022/08/04 13:17:40 - mmengine - INFO - Epoch(train) [149][760/1879] lr: 2.0000e-04 eta: 0:45:34 time: 0.9019 data_time: 0.0259 memory: 11089 grad_norm: 6.1332 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.1564 loss: 1.1564 2022/08/04 13:17:59 - mmengine - INFO - Epoch(train) [149][780/1879] lr: 2.0000e-04 eta: 0:45:16 time: 0.9292 data_time: 0.0317 memory: 11089 grad_norm: 6.0365 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0056 loss: 1.0056 2022/08/04 13:18:17 - mmengine - INFO - Epoch(train) [149][800/1879] lr: 2.0000e-04 eta: 0:44:57 time: 0.9199 data_time: 0.0335 memory: 11089 grad_norm: 6.0428 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9970 loss: 0.9970 2022/08/04 13:18:36 - mmengine - INFO - Epoch(train) [149][820/1879] lr: 2.0000e-04 eta: 0:44:39 time: 0.9395 data_time: 0.0405 memory: 11089 grad_norm: 6.0927 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9297 loss: 0.9297 2022/08/04 13:18:55 - mmengine - INFO - Epoch(train) [149][840/1879] lr: 2.0000e-04 eta: 0:44:21 time: 0.9353 data_time: 0.0317 memory: 11089 grad_norm: 6.0693 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1568 loss: 1.1568 2022/08/04 13:19:13 - mmengine - INFO - Epoch(train) [149][860/1879] lr: 2.0000e-04 eta: 0:44:03 time: 0.9230 data_time: 0.0241 memory: 11089 grad_norm: 6.1224 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2012 loss: 1.2012 2022/08/04 13:19:31 - mmengine - INFO - Epoch(train) [149][880/1879] lr: 2.0000e-04 eta: 0:43:44 time: 0.9174 data_time: 0.0279 memory: 11089 grad_norm: 6.0794 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0377 loss: 1.0377 2022/08/04 13:19:50 - mmengine - INFO - Epoch(train) [149][900/1879] lr: 2.0000e-04 eta: 0:43:26 time: 0.9317 data_time: 0.0283 memory: 11089 grad_norm: 6.2342 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1617 loss: 1.1617 2022/08/04 13:19:57 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 13:20:09 - mmengine - INFO - Epoch(train) [149][920/1879] lr: 2.0000e-04 eta: 0:43:08 time: 0.9203 data_time: 0.0231 memory: 11089 grad_norm: 6.1144 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1429 loss: 1.1429 2022/08/04 13:20:27 - mmengine - INFO - Epoch(train) [149][940/1879] lr: 2.0000e-04 eta: 0:42:50 time: 0.9092 data_time: 0.0263 memory: 11089 grad_norm: 5.9795 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0912 loss: 1.0912 2022/08/04 13:20:45 - mmengine - INFO - Epoch(train) [149][960/1879] lr: 2.0000e-04 eta: 0:42:31 time: 0.9264 data_time: 0.0254 memory: 11089 grad_norm: 6.0603 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1644 loss: 1.1644 2022/08/04 13:21:04 - mmengine - INFO - Epoch(train) [149][980/1879] lr: 2.0000e-04 eta: 0:42:13 time: 0.9479 data_time: 0.0352 memory: 11089 grad_norm: 6.1336 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0774 loss: 1.0774 2022/08/04 13:21:23 - mmengine - INFO - Epoch(train) [149][1000/1879] lr: 2.0000e-04 eta: 0:41:55 time: 0.9297 data_time: 0.0369 memory: 11089 grad_norm: 6.0762 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1045 loss: 1.1045 2022/08/04 13:21:41 - mmengine - INFO - Epoch(train) [149][1020/1879] lr: 2.0000e-04 eta: 0:41:37 time: 0.9306 data_time: 0.0285 memory: 11089 grad_norm: 6.0023 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0083 loss: 1.0083 2022/08/04 13:22:00 - mmengine - INFO - Epoch(train) [149][1040/1879] lr: 2.0000e-04 eta: 0:41:18 time: 0.9258 data_time: 0.0290 memory: 11089 grad_norm: 5.9424 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0757 loss: 1.0757 2022/08/04 13:22:19 - mmengine - INFO - Epoch(train) [149][1060/1879] lr: 2.0000e-04 eta: 0:41:00 time: 0.9311 data_time: 0.0258 memory: 11089 grad_norm: 5.9585 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.0983 loss: 1.0983 2022/08/04 13:22:36 - mmengine - INFO - Epoch(train) [149][1080/1879] lr: 2.0000e-04 eta: 0:40:42 time: 0.8950 data_time: 0.0290 memory: 11089 grad_norm: 6.1258 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.3088 loss: 1.3088 2022/08/04 13:22:55 - mmengine - INFO - Epoch(train) [149][1100/1879] lr: 2.0000e-04 eta: 0:40:24 time: 0.9128 data_time: 0.0274 memory: 11089 grad_norm: 6.0912 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0422 loss: 1.0422 2022/08/04 13:23:13 - mmengine - INFO - Epoch(train) [149][1120/1879] lr: 2.0000e-04 eta: 0:40:06 time: 0.9118 data_time: 0.0238 memory: 11089 grad_norm: 5.9954 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2436 loss: 1.2436 2022/08/04 13:23:31 - mmengine - INFO - Epoch(train) [149][1140/1879] lr: 2.0000e-04 eta: 0:39:47 time: 0.9099 data_time: 0.0284 memory: 11089 grad_norm: 6.1217 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2975 loss: 1.2975 2022/08/04 13:23:50 - mmengine - INFO - Epoch(train) [149][1160/1879] lr: 2.0000e-04 eta: 0:39:29 time: 0.9398 data_time: 0.0237 memory: 11089 grad_norm: 6.1691 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1120 loss: 1.1120 2022/08/04 13:24:08 - mmengine - INFO - Epoch(train) [149][1180/1879] lr: 2.0000e-04 eta: 0:39:11 time: 0.9027 data_time: 0.0228 memory: 11089 grad_norm: 6.1249 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1845 loss: 1.1845 2022/08/04 13:24:26 - mmengine - INFO - Epoch(train) [149][1200/1879] lr: 2.0000e-04 eta: 0:38:53 time: 0.9165 data_time: 0.0258 memory: 11089 grad_norm: 6.0652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1778 loss: 1.1778 2022/08/04 13:24:44 - mmengine - INFO - Epoch(train) [149][1220/1879] lr: 2.0000e-04 eta: 0:38:34 time: 0.8995 data_time: 0.0236 memory: 11089 grad_norm: 6.0636 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0066 loss: 1.0066 2022/08/04 13:25:03 - mmengine - INFO - Epoch(train) [149][1240/1879] lr: 2.0000e-04 eta: 0:38:16 time: 0.9304 data_time: 0.0330 memory: 11089 grad_norm: 6.1046 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1627 loss: 1.1627 2022/08/04 13:25:22 - mmengine - INFO - Epoch(train) [149][1260/1879] lr: 2.0000e-04 eta: 0:37:58 time: 0.9371 data_time: 0.0296 memory: 11089 grad_norm: 6.0541 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0303 loss: 1.0303 2022/08/04 13:25:40 - mmengine - INFO - Epoch(train) [149][1280/1879] lr: 2.0000e-04 eta: 0:37:40 time: 0.9197 data_time: 0.0297 memory: 11089 grad_norm: 6.2383 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1882 loss: 1.1882 2022/08/04 13:25:58 - mmengine - INFO - Epoch(train) [149][1300/1879] lr: 2.0000e-04 eta: 0:37:21 time: 0.9045 data_time: 0.0282 memory: 11089 grad_norm: 6.0318 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9689 loss: 0.9689 2022/08/04 13:26:17 - mmengine - INFO - Epoch(train) [149][1320/1879] lr: 2.0000e-04 eta: 0:37:03 time: 0.9205 data_time: 0.0254 memory: 11089 grad_norm: 5.9730 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1935 loss: 1.1935 2022/08/04 13:26:36 - mmengine - INFO - Epoch(train) [149][1340/1879] lr: 2.0000e-04 eta: 0:36:45 time: 0.9448 data_time: 0.0228 memory: 11089 grad_norm: 6.0836 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0323 loss: 1.0323 2022/08/04 13:26:54 - mmengine - INFO - Epoch(train) [149][1360/1879] lr: 2.0000e-04 eta: 0:36:27 time: 0.9419 data_time: 0.0391 memory: 11089 grad_norm: 5.9919 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0545 loss: 1.0545 2022/08/04 13:27:13 - mmengine - INFO - Epoch(train) [149][1380/1879] lr: 2.0000e-04 eta: 0:36:08 time: 0.9311 data_time: 0.0288 memory: 11089 grad_norm: 6.0215 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8635 loss: 0.8635 2022/08/04 13:27:31 - mmengine - INFO - Epoch(train) [149][1400/1879] lr: 2.0000e-04 eta: 0:35:50 time: 0.9159 data_time: 0.0267 memory: 11089 grad_norm: 6.0915 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0314 loss: 1.0314 2022/08/04 13:27:50 - mmengine - INFO - Epoch(train) [149][1420/1879] lr: 2.0000e-04 eta: 0:35:32 time: 0.9087 data_time: 0.0246 memory: 11089 grad_norm: 6.1194 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0491 loss: 1.0491 2022/08/04 13:28:07 - mmengine - INFO - Epoch(train) [149][1440/1879] lr: 2.0000e-04 eta: 0:35:14 time: 0.8933 data_time: 0.0217 memory: 11089 grad_norm: 5.9209 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9507 loss: 0.9507 2022/08/04 13:28:26 - mmengine - INFO - Epoch(train) [149][1460/1879] lr: 2.0000e-04 eta: 0:34:55 time: 0.9303 data_time: 0.0246 memory: 11089 grad_norm: 6.0805 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0594 loss: 1.0594 2022/08/04 13:28:44 - mmengine - INFO - Epoch(train) [149][1480/1879] lr: 2.0000e-04 eta: 0:34:37 time: 0.8988 data_time: 0.0262 memory: 11089 grad_norm: 6.1655 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3477 loss: 1.3477 2022/08/04 13:29:02 - mmengine - INFO - Epoch(train) [149][1500/1879] lr: 2.0000e-04 eta: 0:34:19 time: 0.9143 data_time: 0.0234 memory: 11089 grad_norm: 6.3293 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0478 loss: 1.0478 2022/08/04 13:29:21 - mmengine - INFO - Epoch(train) [149][1520/1879] lr: 2.0000e-04 eta: 0:34:01 time: 0.9303 data_time: 0.0286 memory: 11089 grad_norm: 6.3853 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3000 loss: 1.3000 2022/08/04 13:29:39 - mmengine - INFO - Epoch(train) [149][1540/1879] lr: 2.0000e-04 eta: 0:33:42 time: 0.9136 data_time: 0.0229 memory: 11089 grad_norm: 6.1572 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1353 loss: 1.1353 2022/08/04 13:29:57 - mmengine - INFO - Epoch(train) [149][1560/1879] lr: 2.0000e-04 eta: 0:33:24 time: 0.9065 data_time: 0.0236 memory: 11089 grad_norm: 6.2878 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1695 loss: 1.1695 2022/08/04 13:30:15 - mmengine - INFO - Epoch(train) [149][1580/1879] lr: 2.0000e-04 eta: 0:33:06 time: 0.8951 data_time: 0.0234 memory: 11089 grad_norm: 5.9987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9943 loss: 0.9943 2022/08/04 13:30:34 - mmengine - INFO - Epoch(train) [149][1600/1879] lr: 2.0000e-04 eta: 0:32:48 time: 0.9224 data_time: 0.0269 memory: 11089 grad_norm: 6.1280 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.1746 loss: 1.1746 2022/08/04 13:30:52 - mmengine - INFO - Epoch(train) [149][1620/1879] lr: 2.0000e-04 eta: 0:32:30 time: 0.9092 data_time: 0.0248 memory: 11089 grad_norm: 6.1257 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1092 loss: 1.1092 2022/08/04 13:31:10 - mmengine - INFO - Epoch(train) [149][1640/1879] lr: 2.0000e-04 eta: 0:32:11 time: 0.9105 data_time: 0.0240 memory: 11089 grad_norm: 6.3133 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2875 loss: 1.2875 2022/08/04 13:31:28 - mmengine - INFO - Epoch(train) [149][1660/1879] lr: 2.0000e-04 eta: 0:31:53 time: 0.9131 data_time: 0.0267 memory: 11089 grad_norm: 5.9175 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1665 loss: 1.1665 2022/08/04 13:31:47 - mmengine - INFO - Epoch(train) [149][1680/1879] lr: 2.0000e-04 eta: 0:31:35 time: 0.9119 data_time: 0.0302 memory: 11089 grad_norm: 6.1355 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1523 loss: 1.1523 2022/08/04 13:32:05 - mmengine - INFO - Epoch(train) [149][1700/1879] lr: 2.0000e-04 eta: 0:31:17 time: 0.9252 data_time: 0.0273 memory: 11089 grad_norm: 6.1396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0682 loss: 1.0682 2022/08/04 13:32:24 - mmengine - INFO - Epoch(train) [149][1720/1879] lr: 2.0000e-04 eta: 0:30:58 time: 0.9209 data_time: 0.0312 memory: 11089 grad_norm: 5.9036 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1498 loss: 1.1498 2022/08/04 13:32:43 - mmengine - INFO - Epoch(train) [149][1740/1879] lr: 2.0000e-04 eta: 0:30:40 time: 0.9482 data_time: 0.0313 memory: 11089 grad_norm: 6.2117 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1147 loss: 1.1147 2022/08/04 13:33:01 - mmengine - INFO - Epoch(train) [149][1760/1879] lr: 2.0000e-04 eta: 0:30:22 time: 0.9164 data_time: 0.0257 memory: 11089 grad_norm: 5.9947 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1175 loss: 1.1175 2022/08/04 13:33:20 - mmengine - INFO - Epoch(train) [149][1780/1879] lr: 2.0000e-04 eta: 0:30:04 time: 0.9309 data_time: 0.0275 memory: 11089 grad_norm: 6.2955 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1119 loss: 1.1119 2022/08/04 13:33:38 - mmengine - INFO - Epoch(train) [149][1800/1879] lr: 2.0000e-04 eta: 0:29:45 time: 0.9079 data_time: 0.0258 memory: 11089 grad_norm: 6.0678 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9199 loss: 0.9199 2022/08/04 13:33:56 - mmengine - INFO - Epoch(train) [149][1820/1879] lr: 2.0000e-04 eta: 0:29:27 time: 0.9118 data_time: 0.0263 memory: 11089 grad_norm: 6.3168 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2101 loss: 1.2101 2022/08/04 13:34:14 - mmengine - INFO - Epoch(train) [149][1840/1879] lr: 2.0000e-04 eta: 0:29:09 time: 0.9157 data_time: 0.0316 memory: 11089 grad_norm: 6.0678 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1068 loss: 1.1068 2022/08/04 13:34:33 - mmengine - INFO - Epoch(train) [149][1860/1879] lr: 2.0000e-04 eta: 0:28:51 time: 0.9400 data_time: 0.0331 memory: 11089 grad_norm: 6.2317 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0910 loss: 1.0910 2022/08/04 13:34:51 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 13:34:51 - mmengine - INFO - Epoch(train) [149][1879/1879] lr: 2.0000e-04 eta: 0:28:51 time: 0.9211 data_time: 0.0307 memory: 11089 grad_norm: 6.3950 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.1016 loss: 1.1016 2022/08/04 13:35:11 - mmengine - INFO - Epoch(train) [150][20/1879] lr: 2.0000e-04 eta: 0:28:15 time: 1.0189 data_time: 0.1325 memory: 11089 grad_norm: 6.0173 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9923 loss: 0.9923 2022/08/04 13:35:19 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 13:35:29 - mmengine - INFO - Epoch(train) [150][40/1879] lr: 2.0000e-04 eta: 0:27:57 time: 0.8986 data_time: 0.0230 memory: 11089 grad_norm: 6.0934 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0867 loss: 1.0867 2022/08/04 13:35:47 - mmengine - INFO - Epoch(train) [150][60/1879] lr: 2.0000e-04 eta: 0:27:38 time: 0.9044 data_time: 0.0270 memory: 11089 grad_norm: 6.1951 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1990 loss: 1.1990 2022/08/04 13:36:06 - mmengine - INFO - Epoch(train) [150][80/1879] lr: 2.0000e-04 eta: 0:27:20 time: 0.9277 data_time: 0.0263 memory: 11089 grad_norm: 6.0043 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9559 loss: 0.9559 2022/08/04 13:36:24 - mmengine - INFO - Epoch(train) [150][100/1879] lr: 2.0000e-04 eta: 0:27:02 time: 0.9119 data_time: 0.0278 memory: 11089 grad_norm: 6.1743 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1360 loss: 1.1360 2022/08/04 13:36:42 - mmengine - INFO - Epoch(train) [150][120/1879] lr: 2.0000e-04 eta: 0:26:44 time: 0.9216 data_time: 0.0289 memory: 11089 grad_norm: 6.0152 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9097 loss: 0.9097 2022/08/04 13:37:01 - mmengine - INFO - Epoch(train) [150][140/1879] lr: 2.0000e-04 eta: 0:26:26 time: 0.9448 data_time: 0.0304 memory: 11089 grad_norm: 6.2499 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0969 loss: 1.0969 2022/08/04 13:37:20 - mmengine - INFO - Epoch(train) [150][160/1879] lr: 2.0000e-04 eta: 0:26:07 time: 0.9446 data_time: 0.0294 memory: 11089 grad_norm: 6.0082 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1386 loss: 1.1386 2022/08/04 13:37:39 - mmengine - INFO - Epoch(train) [150][180/1879] lr: 2.0000e-04 eta: 0:25:49 time: 0.9262 data_time: 0.0277 memory: 11089 grad_norm: 6.0329 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0160 loss: 1.0160 2022/08/04 13:37:57 - mmengine - INFO - Epoch(train) [150][200/1879] lr: 2.0000e-04 eta: 0:25:31 time: 0.9332 data_time: 0.0339 memory: 11089 grad_norm: 6.2378 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1895 loss: 1.1895 2022/08/04 13:38:16 - mmengine - INFO - Epoch(train) [150][220/1879] lr: 2.0000e-04 eta: 0:25:13 time: 0.9075 data_time: 0.0267 memory: 11089 grad_norm: 6.0012 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9928 loss: 0.9928 2022/08/04 13:38:34 - mmengine - INFO - Epoch(train) [150][240/1879] lr: 2.0000e-04 eta: 0:24:54 time: 0.9300 data_time: 0.0281 memory: 11089 grad_norm: 6.1778 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0959 loss: 1.0959 2022/08/04 13:38:52 - mmengine - INFO - Epoch(train) [150][260/1879] lr: 2.0000e-04 eta: 0:24:36 time: 0.9168 data_time: 0.0243 memory: 11089 grad_norm: 5.9686 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0659 loss: 1.0659 2022/08/04 13:39:11 - mmengine - INFO - Epoch(train) [150][280/1879] lr: 2.0000e-04 eta: 0:24:18 time: 0.9158 data_time: 0.0255 memory: 11089 grad_norm: 5.9814 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0459 loss: 1.0459 2022/08/04 13:39:29 - mmengine - INFO - Epoch(train) [150][300/1879] lr: 2.0000e-04 eta: 0:24:00 time: 0.9002 data_time: 0.0222 memory: 11089 grad_norm: 6.0046 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0508 loss: 1.0508 2022/08/04 13:39:47 - mmengine - INFO - Epoch(train) [150][320/1879] lr: 2.0000e-04 eta: 0:23:41 time: 0.9102 data_time: 0.0215 memory: 11089 grad_norm: 6.1424 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0301 loss: 1.0301 2022/08/04 13:40:05 - mmengine - INFO - Epoch(train) [150][340/1879] lr: 2.0000e-04 eta: 0:23:23 time: 0.9176 data_time: 0.0231 memory: 11089 grad_norm: 5.9169 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2123 loss: 1.2123 2022/08/04 13:40:24 - mmengine - INFO - Epoch(train) [150][360/1879] lr: 2.0000e-04 eta: 0:23:05 time: 0.9376 data_time: 0.0330 memory: 11089 grad_norm: 6.1012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1510 loss: 1.1510 2022/08/04 13:40:42 - mmengine - INFO - Epoch(train) [150][380/1879] lr: 2.0000e-04 eta: 0:22:47 time: 0.9151 data_time: 0.0201 memory: 11089 grad_norm: 6.0077 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0452 loss: 1.0452 2022/08/04 13:41:01 - mmengine - INFO - Epoch(train) [150][400/1879] lr: 2.0000e-04 eta: 0:22:28 time: 0.9284 data_time: 0.0353 memory: 11089 grad_norm: 5.9955 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9949 loss: 0.9949 2022/08/04 13:41:19 - mmengine - INFO - Epoch(train) [150][420/1879] lr: 2.0000e-04 eta: 0:22:10 time: 0.9200 data_time: 0.0293 memory: 11089 grad_norm: 6.0681 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1495 loss: 1.1495 2022/08/04 13:41:38 - mmengine - INFO - Epoch(train) [150][440/1879] lr: 2.0000e-04 eta: 0:21:52 time: 0.9153 data_time: 0.0261 memory: 11089 grad_norm: 5.9914 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1182 loss: 1.1182 2022/08/04 13:41:56 - mmengine - INFO - Epoch(train) [150][460/1879] lr: 2.0000e-04 eta: 0:21:34 time: 0.9173 data_time: 0.0254 memory: 11089 grad_norm: 6.2487 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1777 loss: 1.1777 2022/08/04 13:42:14 - mmengine - INFO - Epoch(train) [150][480/1879] lr: 2.0000e-04 eta: 0:21:15 time: 0.9128 data_time: 0.0274 memory: 11089 grad_norm: 6.0665 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1216 loss: 1.1216 2022/08/04 13:42:33 - mmengine - INFO - Epoch(train) [150][500/1879] lr: 2.0000e-04 eta: 0:20:57 time: 0.9119 data_time: 0.0229 memory: 11089 grad_norm: 5.7811 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1410 loss: 1.1410 2022/08/04 13:42:51 - mmengine - INFO - Epoch(train) [150][520/1879] lr: 2.0000e-04 eta: 0:20:39 time: 0.9259 data_time: 0.0335 memory: 11089 grad_norm: 6.2453 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2256 loss: 1.2256 2022/08/04 13:43:09 - mmengine - INFO - Epoch(train) [150][540/1879] lr: 2.0000e-04 eta: 0:20:21 time: 0.9128 data_time: 0.0225 memory: 11089 grad_norm: 6.0586 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2195 loss: 1.2195 2022/08/04 13:43:28 - mmengine - INFO - Epoch(train) [150][560/1879] lr: 2.0000e-04 eta: 0:20:02 time: 0.9409 data_time: 0.0253 memory: 11089 grad_norm: 6.0084 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1582 loss: 1.1582 2022/08/04 13:43:46 - mmengine - INFO - Epoch(train) [150][580/1879] lr: 2.0000e-04 eta: 0:19:44 time: 0.9086 data_time: 0.0270 memory: 11089 grad_norm: 6.0014 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1078 loss: 1.1078 2022/08/04 13:44:05 - mmengine - INFO - Epoch(train) [150][600/1879] lr: 2.0000e-04 eta: 0:19:26 time: 0.9121 data_time: 0.0307 memory: 11089 grad_norm: 6.0729 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0603 loss: 1.0603 2022/08/04 13:44:23 - mmengine - INFO - Epoch(train) [150][620/1879] lr: 2.0000e-04 eta: 0:19:08 time: 0.9080 data_time: 0.0306 memory: 11089 grad_norm: 6.3623 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1497 loss: 1.1497 2022/08/04 13:44:41 - mmengine - INFO - Epoch(train) [150][640/1879] lr: 2.0000e-04 eta: 0:18:50 time: 0.9202 data_time: 0.0362 memory: 11089 grad_norm: 6.1464 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0565 loss: 1.0565 2022/08/04 13:44:59 - mmengine - INFO - Epoch(train) [150][660/1879] lr: 2.0000e-04 eta: 0:18:31 time: 0.9000 data_time: 0.0243 memory: 11089 grad_norm: 6.4473 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1496 loss: 1.1496 2022/08/04 13:45:18 - mmengine - INFO - Epoch(train) [150][680/1879] lr: 2.0000e-04 eta: 0:18:13 time: 0.9115 data_time: 0.0240 memory: 11089 grad_norm: 6.1453 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9985 loss: 0.9985 2022/08/04 13:45:36 - mmengine - INFO - Epoch(train) [150][700/1879] lr: 2.0000e-04 eta: 0:17:55 time: 0.9496 data_time: 0.0361 memory: 11089 grad_norm: 6.1270 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2105 loss: 1.2105 2022/08/04 13:45:55 - mmengine - INFO - Epoch(train) [150][720/1879] lr: 2.0000e-04 eta: 0:17:37 time: 0.9229 data_time: 0.0301 memory: 11089 grad_norm: 6.0581 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2386 loss: 1.2386 2022/08/04 13:46:14 - mmengine - INFO - Epoch(train) [150][740/1879] lr: 2.0000e-04 eta: 0:17:18 time: 0.9508 data_time: 0.0293 memory: 11089 grad_norm: 6.0975 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0558 loss: 1.0558 2022/08/04 13:46:32 - mmengine - INFO - Epoch(train) [150][760/1879] lr: 2.0000e-04 eta: 0:17:00 time: 0.9215 data_time: 0.0253 memory: 11089 grad_norm: 6.1280 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3789 loss: 1.3789 2022/08/04 13:46:51 - mmengine - INFO - Epoch(train) [150][780/1879] lr: 2.0000e-04 eta: 0:16:42 time: 0.9156 data_time: 0.0245 memory: 11089 grad_norm: 6.0418 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0477 loss: 1.0477 2022/08/04 13:47:09 - mmengine - INFO - Epoch(train) [150][800/1879] lr: 2.0000e-04 eta: 0:16:24 time: 0.9075 data_time: 0.0292 memory: 11089 grad_norm: 6.0205 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8533 loss: 0.8533 2022/08/04 13:47:27 - mmengine - INFO - Epoch(train) [150][820/1879] lr: 2.0000e-04 eta: 0:16:05 time: 0.9033 data_time: 0.0219 memory: 11089 grad_norm: 5.9508 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0415 loss: 1.0415 2022/08/04 13:47:45 - mmengine - INFO - Epoch(train) [150][840/1879] lr: 2.0000e-04 eta: 0:15:47 time: 0.9271 data_time: 0.0301 memory: 11089 grad_norm: 6.1138 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0116 loss: 1.0116 2022/08/04 13:48:04 - mmengine - INFO - Epoch(train) [150][860/1879] lr: 2.0000e-04 eta: 0:15:29 time: 0.9300 data_time: 0.0240 memory: 11089 grad_norm: 6.0939 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0266 loss: 1.0266 2022/08/04 13:48:23 - mmengine - INFO - Epoch(train) [150][880/1879] lr: 2.0000e-04 eta: 0:15:11 time: 0.9440 data_time: 0.0312 memory: 11089 grad_norm: 6.2394 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0625 loss: 1.0625 2022/08/04 13:48:42 - mmengine - INFO - Epoch(train) [150][900/1879] lr: 2.0000e-04 eta: 0:14:52 time: 0.9409 data_time: 0.0264 memory: 11089 grad_norm: 6.0331 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0387 loss: 1.0387 2022/08/04 13:49:00 - mmengine - INFO - Epoch(train) [150][920/1879] lr: 2.0000e-04 eta: 0:14:34 time: 0.9209 data_time: 0.0249 memory: 11089 grad_norm: 5.9564 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0667 loss: 1.0667 2022/08/04 13:49:18 - mmengine - INFO - Epoch(train) [150][940/1879] lr: 2.0000e-04 eta: 0:14:16 time: 0.8883 data_time: 0.0217 memory: 11089 grad_norm: 6.0455 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0877 loss: 1.0877 2022/08/04 13:49:36 - mmengine - INFO - Epoch(train) [150][960/1879] lr: 2.0000e-04 eta: 0:13:58 time: 0.9202 data_time: 0.0277 memory: 11089 grad_norm: 6.0336 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0992 loss: 1.0992 2022/08/04 13:49:55 - mmengine - INFO - Epoch(train) [150][980/1879] lr: 2.0000e-04 eta: 0:13:39 time: 0.9270 data_time: 0.0261 memory: 11089 grad_norm: 6.0964 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0114 loss: 1.0114 2022/08/04 13:50:14 - mmengine - INFO - Epoch(train) [150][1000/1879] lr: 2.0000e-04 eta: 0:13:21 time: 0.9358 data_time: 0.0328 memory: 11089 grad_norm: 6.2697 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0129 loss: 1.0129 2022/08/04 13:50:32 - mmengine - INFO - Epoch(train) [150][1020/1879] lr: 2.0000e-04 eta: 0:13:03 time: 0.9044 data_time: 0.0233 memory: 11089 grad_norm: 6.0960 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1448 loss: 1.1448 2022/08/04 13:50:40 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 13:50:50 - mmengine - INFO - Epoch(train) [150][1040/1879] lr: 2.0000e-04 eta: 0:12:45 time: 0.9145 data_time: 0.0233 memory: 11089 grad_norm: 5.9949 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1909 loss: 1.1909 2022/08/04 13:51:09 - mmengine - INFO - Epoch(train) [150][1060/1879] lr: 2.0000e-04 eta: 0:12:26 time: 0.9332 data_time: 0.0261 memory: 11089 grad_norm: 6.2761 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1737 loss: 1.1737 2022/08/04 13:51:27 - mmengine - INFO - Epoch(train) [150][1080/1879] lr: 2.0000e-04 eta: 0:12:08 time: 0.9153 data_time: 0.0387 memory: 11089 grad_norm: 6.2456 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2342 loss: 1.2342 2022/08/04 13:51:46 - mmengine - INFO - Epoch(train) [150][1100/1879] lr: 2.0000e-04 eta: 0:11:50 time: 0.9415 data_time: 0.0235 memory: 11089 grad_norm: 6.1082 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1245 loss: 1.1245 2022/08/04 13:52:05 - mmengine - INFO - Epoch(train) [150][1120/1879] lr: 2.0000e-04 eta: 0:11:32 time: 0.9318 data_time: 0.0308 memory: 11089 grad_norm: 6.0501 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1583 loss: 1.1583 2022/08/04 13:52:23 - mmengine - INFO - Epoch(train) [150][1140/1879] lr: 2.0000e-04 eta: 0:11:14 time: 0.9306 data_time: 0.0326 memory: 11089 grad_norm: 6.2805 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2037 loss: 1.2037 2022/08/04 13:52:42 - mmengine - INFO - Epoch(train) [150][1160/1879] lr: 2.0000e-04 eta: 0:10:55 time: 0.9180 data_time: 0.0193 memory: 11089 grad_norm: 6.1783 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2019 loss: 1.2019 2022/08/04 13:53:00 - mmengine - INFO - Epoch(train) [150][1180/1879] lr: 2.0000e-04 eta: 0:10:37 time: 0.9110 data_time: 0.0263 memory: 11089 grad_norm: 6.2545 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1740 loss: 1.1740 2022/08/04 13:53:18 - mmengine - INFO - Epoch(train) [150][1200/1879] lr: 2.0000e-04 eta: 0:10:19 time: 0.9244 data_time: 0.0231 memory: 11089 grad_norm: 6.1627 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0753 loss: 1.0753 2022/08/04 13:53:37 - mmengine - INFO - Epoch(train) [150][1220/1879] lr: 2.0000e-04 eta: 0:10:01 time: 0.9229 data_time: 0.0311 memory: 11089 grad_norm: 5.9868 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0705 loss: 1.0705 2022/08/04 13:53:55 - mmengine - INFO - Epoch(train) [150][1240/1879] lr: 2.0000e-04 eta: 0:09:42 time: 0.9099 data_time: 0.0239 memory: 11089 grad_norm: 6.1848 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0053 loss: 1.0053 2022/08/04 13:54:14 - mmengine - INFO - Epoch(train) [150][1260/1879] lr: 2.0000e-04 eta: 0:09:24 time: 0.9239 data_time: 0.0217 memory: 11089 grad_norm: 5.9853 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9925 loss: 0.9925 2022/08/04 13:54:32 - mmengine - INFO - Epoch(train) [150][1280/1879] lr: 2.0000e-04 eta: 0:09:06 time: 0.9351 data_time: 0.0378 memory: 11089 grad_norm: 6.2413 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0870 loss: 1.0870 2022/08/04 13:54:50 - mmengine - INFO - Epoch(train) [150][1300/1879] lr: 2.0000e-04 eta: 0:08:48 time: 0.9150 data_time: 0.0246 memory: 11089 grad_norm: 6.1151 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0750 loss: 1.0750 2022/08/04 13:55:09 - mmengine - INFO - Epoch(train) [150][1320/1879] lr: 2.0000e-04 eta: 0:08:29 time: 0.9145 data_time: 0.0305 memory: 11089 grad_norm: 6.1872 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2486 loss: 1.2486 2022/08/04 13:55:27 - mmengine - INFO - Epoch(train) [150][1340/1879] lr: 2.0000e-04 eta: 0:08:11 time: 0.9026 data_time: 0.0234 memory: 11089 grad_norm: 6.0566 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8713 loss: 0.8713 2022/08/04 13:55:45 - mmengine - INFO - Epoch(train) [150][1360/1879] lr: 2.0000e-04 eta: 0:07:53 time: 0.9128 data_time: 0.0295 memory: 11089 grad_norm: 6.0690 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2639 loss: 1.2639 2022/08/04 13:56:03 - mmengine - INFO - Epoch(train) [150][1380/1879] lr: 2.0000e-04 eta: 0:07:35 time: 0.8971 data_time: 0.0228 memory: 11089 grad_norm: 5.9203 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1510 loss: 1.1510 2022/08/04 13:56:21 - mmengine - INFO - Epoch(train) [150][1400/1879] lr: 2.0000e-04 eta: 0:07:16 time: 0.9103 data_time: 0.0320 memory: 11089 grad_norm: 6.2385 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1835 loss: 1.1835 2022/08/04 13:56:39 - mmengine - INFO - Epoch(train) [150][1420/1879] lr: 2.0000e-04 eta: 0:06:58 time: 0.9120 data_time: 0.0216 memory: 11089 grad_norm: 6.3310 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1172 loss: 1.1172 2022/08/04 13:56:58 - mmengine - INFO - Epoch(train) [150][1440/1879] lr: 2.0000e-04 eta: 0:06:40 time: 0.9027 data_time: 0.0298 memory: 11089 grad_norm: 6.1176 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8820 loss: 0.8820 2022/08/04 13:57:16 - mmengine - INFO - Epoch(train) [150][1460/1879] lr: 2.0000e-04 eta: 0:06:22 time: 0.9262 data_time: 0.0285 memory: 11089 grad_norm: 6.1421 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9019 loss: 0.9019 2022/08/04 13:57:35 - mmengine - INFO - Epoch(train) [150][1480/1879] lr: 2.0000e-04 eta: 0:06:03 time: 0.9285 data_time: 0.0295 memory: 11089 grad_norm: 6.0299 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9632 loss: 0.9632 2022/08/04 13:57:53 - mmengine - INFO - Epoch(train) [150][1500/1879] lr: 2.0000e-04 eta: 0:05:45 time: 0.9256 data_time: 0.0276 memory: 11089 grad_norm: 6.1048 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1691 loss: 1.1691 2022/08/04 13:58:12 - mmengine - INFO - Epoch(train) [150][1520/1879] lr: 2.0000e-04 eta: 0:05:27 time: 0.9405 data_time: 0.0335 memory: 11089 grad_norm: 6.0427 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9955 loss: 0.9955 2022/08/04 13:58:31 - mmengine - INFO - Epoch(train) [150][1540/1879] lr: 2.0000e-04 eta: 0:05:09 time: 0.9337 data_time: 0.0314 memory: 11089 grad_norm: 6.1624 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0534 loss: 1.0534 2022/08/04 13:58:49 - mmengine - INFO - Epoch(train) [150][1560/1879] lr: 2.0000e-04 eta: 0:04:50 time: 0.9091 data_time: 0.0307 memory: 11089 grad_norm: 6.1710 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1573 loss: 1.1573 2022/08/04 13:59:07 - mmengine - INFO - Epoch(train) [150][1580/1879] lr: 2.0000e-04 eta: 0:04:32 time: 0.9143 data_time: 0.0235 memory: 11089 grad_norm: 6.0072 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0934 loss: 1.0934 2022/08/04 13:59:26 - mmengine - INFO - Epoch(train) [150][1600/1879] lr: 2.0000e-04 eta: 0:04:14 time: 0.9315 data_time: 0.0235 memory: 11089 grad_norm: 6.2435 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0459 loss: 1.0459 2022/08/04 13:59:45 - mmengine - INFO - Epoch(train) [150][1620/1879] lr: 2.0000e-04 eta: 0:03:56 time: 0.9397 data_time: 0.0387 memory: 11089 grad_norm: 6.0136 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0553 loss: 1.0553 2022/08/04 14:00:03 - mmengine - INFO - Epoch(train) [150][1640/1879] lr: 2.0000e-04 eta: 0:03:37 time: 0.9348 data_time: 0.0239 memory: 11089 grad_norm: 6.0679 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9593 loss: 0.9593 2022/08/04 14:00:22 - mmengine - INFO - Epoch(train) [150][1660/1879] lr: 2.0000e-04 eta: 0:03:19 time: 0.9131 data_time: 0.0290 memory: 11089 grad_norm: 6.3460 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0169 loss: 1.0169 2022/08/04 14:00:40 - mmengine - INFO - Epoch(train) [150][1680/1879] lr: 2.0000e-04 eta: 0:03:01 time: 0.9129 data_time: 0.0216 memory: 11089 grad_norm: 6.2876 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0494 loss: 1.0494 2022/08/04 14:00:58 - mmengine - INFO - Epoch(train) [150][1700/1879] lr: 2.0000e-04 eta: 0:02:43 time: 0.9013 data_time: 0.0260 memory: 11089 grad_norm: 5.9769 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0327 loss: 1.0327 2022/08/04 14:01:16 - mmengine - INFO - Epoch(train) [150][1720/1879] lr: 2.0000e-04 eta: 0:02:25 time: 0.9166 data_time: 0.0282 memory: 11089 grad_norm: 6.1270 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0195 loss: 1.0195 2022/08/04 14:01:34 - mmengine - INFO - Epoch(train) [150][1740/1879] lr: 2.0000e-04 eta: 0:02:06 time: 0.9054 data_time: 0.0242 memory: 11089 grad_norm: 6.0781 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1826 loss: 1.1826 2022/08/04 14:01:53 - mmengine - INFO - Epoch(train) [150][1760/1879] lr: 2.0000e-04 eta: 0:01:48 time: 0.9481 data_time: 0.0340 memory: 11089 grad_norm: 6.2042 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1734 loss: 1.1734 2022/08/04 14:02:11 - mmengine - INFO - Epoch(train) [150][1780/1879] lr: 2.0000e-04 eta: 0:01:30 time: 0.9113 data_time: 0.0265 memory: 11089 grad_norm: 6.2121 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1574 loss: 1.1574 2022/08/04 14:02:30 - mmengine - INFO - Epoch(train) [150][1800/1879] lr: 2.0000e-04 eta: 0:01:12 time: 0.9051 data_time: 0.0298 memory: 11089 grad_norm: 6.0378 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2384 loss: 1.2384 2022/08/04 14:02:47 - mmengine - INFO - Epoch(train) [150][1820/1879] lr: 2.0000e-04 eta: 0:00:53 time: 0.8925 data_time: 0.0206 memory: 11089 grad_norm: 6.1336 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9762 loss: 0.9762 2022/08/04 14:03:06 - mmengine - INFO - Epoch(train) [150][1840/1879] lr: 2.0000e-04 eta: 0:00:35 time: 0.9264 data_time: 0.0291 memory: 11089 grad_norm: 6.1718 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0546 loss: 1.0546 2022/08/04 14:03:24 - mmengine - INFO - Epoch(train) [150][1860/1879] lr: 2.0000e-04 eta: 0:00:17 time: 0.9098 data_time: 0.0274 memory: 11089 grad_norm: 6.2290 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1285 loss: 1.1285 2022/08/04 14:03:41 - mmengine - INFO - Exp name: slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb_20220801_132106 2022/08/04 14:03:41 - mmengine - INFO - Epoch(train) [150][1879/1879] lr: 2.0000e-04 eta: 0:00:17 time: 0.8816 data_time: 0.0220 memory: 11089 grad_norm: 6.3420 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.1636 loss: 1.1636 2022/08/04 14:03:41 - mmengine - INFO - Saving checkpoint at 150 epochs 2022/08/04 14:03:53 - mmengine - INFO - Epoch(val) [150][20/155] eta: 0:01:02 time: 0.4646 data_time: 0.1111 memory: 1950 2022/08/04 14:04:06 - mmengine - INFO - Epoch(val) [150][40/155] eta: 0:01:12 time: 0.6315 data_time: 0.2572 memory: 1950 2022/08/04 14:04:18 - mmengine - INFO - Epoch(val) [150][60/155] eta: 0:00:58 time: 0.6111 data_time: 0.2459 memory: 1950 2022/08/04 14:04:29 - mmengine - INFO - Epoch(val) [150][80/155] eta: 0:00:42 time: 0.5658 data_time: 0.2062 memory: 1950 2022/08/04 14:04:40 - mmengine - INFO - Epoch(val) [150][100/155] eta: 0:00:28 time: 0.5188 data_time: 0.1524 memory: 1950 2022/08/04 14:04:55 - mmengine - INFO - Epoch(val) [150][120/155] eta: 0:00:26 time: 0.7637 data_time: 0.3949 memory: 1950 2022/08/04 14:05:03 - mmengine - INFO - Epoch(val) [150][140/155] eta: 0:00:05 time: 0.3876 data_time: 0.0068 memory: 1950 2022/08/04 14:05:10 - mmengine - INFO - Epoch(val) [150][155/155] acc/top1: 0.6947 acc/top5: 0.8834 acc/mean1: 0.6946 2022/08/04 14:05:10 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_imagenet_pretrained_r50_8x8x1_150e_8xb16_kinetics400_rgb/best_acc/top1_epoch_146.pth is removed 2022/08/04 14:05:12 - mmengine - INFO - The best checkpoint with 0.6947 acc/top1 at 151 epoch is saved to best_acc/top1_epoch_151.pth.