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